Section 73

EurekaMag PDF full texts Chapter 72,145


Stefanović, V.; Dobrosavljević, A.; Urošević, Sžana.; Mladenović-Ranisavljević, I. 2021: Modeling of occupational safety and health factors in production organizations and the formation of measuring scales of occupational safety climate. International Journal of Occupational Safety and Ergonomics: Jose 2021: 1-25
Pang, L.K.; Pena, M.; Zhao, R.; Lee, D.-F. 2020: Modeling of osteosarcoma with induced pluripotent stem cells. Stem Cell Research 49: 102006
Peruzzetto, M.; Komorowski, J-Christophe.; Le Friant, A.; Rosas-Carbajal, M.; Mangeney, A.; Legendre, Y. 2019: Modeling of partial dome collapse of La Soufrière of Guadeloupe volcano: implications for hazard assessment and monitoring. Scientific Reports 9(1): 13105
Sapozhnikov, O.A.; Maxwell, A.D.; Bailey, M.R. 2020: Modeling of photoelastic imaging of mechanical stresses in transparent solids mimicking kidney stones. Journal of the Acoustical Society of America 147(6): 3819
Hussain, S.; Khan, H.; Gul, S.; Steter, J.R.; Motheo, A.J. 2021: Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study. Chemosphere 276: 130151
Teixeira, D.L.; Matos, A.T.; Matos, M.P.; Miranda, S.T.; Teixeira, D.V. 2021: Modeling of productivity and nutrient extraction by the Vetiver and Tifton 85 grasses grown in horizontal subsurface flow constructed wetlands. Journal of Environmental Science and Health. Part A Toxic/Hazardous Substances and Environmental Engineering 2021: 1-9
Asare, E.O.; Al-Mamun, M.A.; Armah, G.E.; Lopman, B.A.; Parashar, U.D.; Binka, F.; Pitzer, V.E. 2020: Modeling of rotavirus transmission dynamics and impact of vaccination in Ghana. Vaccine 38(31): 4820-4828
Cecconi, A.; Verginelli, I.; Baciocchi, R. 2022: Modeling of soil gas radon as an in situ partitioning tracer for quantifying LNAPL contamination. Science of the Total Environment 806(Part 2): 150593
Spicher, S.; Abdullin, D.; Grimme, S.; Schiemann, O. 2020: Modeling of spin-spin distance distributions for nitroxide labeled biomacromolecules. Physical Chemistry Chemical Physics: Pccp 22(42): 24282-24290
Audretsch, C.; Gratani, F.; Wolz, C.; Dandekar, T. 2021: Modeling of stringent-response reflects nutrient stress induced growth impairment and essential amino acids in different Staphylococcus aureus mutants. Scientific Reports 11(1): 9651
Han, Y.; Xie, Z.; Guo, Y.; Wang, B. 2021: Modeling of suppression and mitigation interventions in the COVID-19 epidemics. Bmc Public Health 21(1): 723
Liu, Z.; Jagota, A.; Hui, C.-Y. 2020: Modeling of surface mechanical behaviors of soft elastic solids: theory and examples. Soft Matter 16(29): 6875-6889
Pakhomov, A.V.; Hammerschmidt, M.; Burger, S.; Pertsch, T.; Setzpfandt, F. 2021: Modeling of surface-induced second-harmonic generation from multilayer structures by the transfer matrix method. Optics Express 29(6): 9098-9122
Yu, X.; Robertson, J. 2015: Modeling of switching mechanism in GeSbTe chalcogenide superlattices. Scientific Reports 5: 12612
Yu, L.; Lubineau, G. 2019: Modeling of systematic errors in stereo-digital image correlation due to camera self-heating. Scientific Reports 9(1): 6567
Shakya, A.K.; Ramola, A.; Vidyarthi, A. 2022: Modeling of texture quantification and image classification for change prediction due to COVID lockdown using Skysat and Planetscope imagery. Modeling Earth Systems and Environment 8(2): 2767-2792
Rajagopal, K.R.; Rajagopal, K. 2020: Modeling of the Aorta: Complexities and Inadequacies. Aorta 8(4): 91-97
Tan, B.; Chang, C.; Xu, D.; Wang, Y.; Qi, T. 2020: Modeling of the Competition between Uranyl Nitrate and Nitric Acid upon Extraction with Tri-n-butyl Phosphate. Acs Omega 5(21): 12174-12183
Sun, F.; Ye, C. 2021: Modeling of the Ecological Carrying Index of reclaimed land in coastal city: A sustainable marine ecology perspective. Environmental Research 2021: 111612
Zemouri, C.; Awad, S.F.; Volgenant, C.M.C.; Crielaard, W.; Laheij, A.M.G.A.; de Soet, J.J. 2020: Modeling of the Transmission of Coronaviruses, Measles Virus, Influenza Virus, Mycobacterium tuberculosis , and Legionella pneumophila in Dental Clinics. Journal of Dental Research 99(10): 1192-1198
Buess, A.; Van Muylem, A.; Nonclercq, A.; Haut, B. 2020: Modeling of the Transport and Exchange of a Gas Species in Lungs with an Asymmetric Branching Pattern. Application to Nitric Oxide. Frontiers in Physiology 11: 570015
Awad, M.E.; Borrego-Sánchez, A.; Escamilla-Roa, E.; Hernández-Laguna, A.; Sainz-Díaz, C.I. 2020: Modeling of the adsorption of a protein-fragment on kaolinite with potential antiviral activity. Applied Clay Science 199: 105865
Di Biase, A.; Kowalski, M.S.; Devlin, T.R.; Oleszkiewicz, J.A. 2021: Modeling of the attached and suspended biomass fractions in a moving bed biofilm reactor. Chemosphere 275: 129937
Bermudo Gamboa, C.; Andersson, T.; Svensson, D.; Trujillo Vilches, F.Javier.; Martín-Béjar, S.; Sevilla Hurtado, L. 2021: Modeling of the fracture energy on the finite element simulation in Ti6Al4V alloy machining. Scientific Reports 11(1): 18490
Shan, Z.Y.; Wright, M.J.; Thompson, P.M.; McMahon, K.L.; Blokland, G.G.A.M.; de Zubicaray, G.I.; Martin, N.G.; Vinkhuyzen, A.A.E.; Reutens, D.C. 2014: Modeling of the hemodynamic responses in block design fMRI studies. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism 34(2): 316-324
Zadka, Łu.; Grybowski, D.J.; Dzięgiel, P. 2020: Modeling of the immune response in the pathogenesis of solid tumors and its prognostic significance. Cellular Oncology 43(4): 539-575
Ouerfelli, N.; Vrinceanu, N.; Mliki, E.; Homeida, A.M.; Amin, K.A.; Ogrodowczyk, M.; Alshehri, F.S.; Ouerfelli, N. 2020: Modeling of the irradiation effect on some physicochemical properties of metoprolol tartrate for safe medical uses. Scientific Reports 10(1): 67
Pathak, R.Kumar.; Baunthiyal, M.; Pandey, N.; Pandey, D.; Kumar, A. 2017: Modeling of the jasmonate signaling pathway in Arabidopsis thaliana with respect to pathophysiology of Alternaria blight in Brassica. Scientific Reports 7(1): 16790
Benbettaïeb, N.; Mahfoudh, R.; Moundanga, S.; Brachais, C.-H.él.èn.; Chambin, O.; Debeaufort, F.éd.ér. 2020: Modeling of the release kinetics of phenolic acids embedded in gelatin/chitosan bioactive-packaging films: Influence of both water activity and viscosity of the food simulant on the film structure and antioxidant activity. International Journal of Biological Macromolecules 160: 780-794
Chen, X.; Zhou, X.; Xia, X.; Xie, X.; Lu, P.; Feng, Y. 2021: Modeling of the transport, hygroscopic growth, and deposition of multi-component droplets in a simplified airway with realistic thermal boundary conditions. Journal of Aerosol Science 151: 105626
Jahani, A.; Saffariha, M. 2021: Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques. Scientific Reports 11(1): 1124
Curtis, L.T.; Sebens, S.; Frieboes, H.B. 2021: Modeling of tumor response to macrophage and T lymphocyte interactions in the liver metastatic microenvironment. Cancer Immunology Immunotherapy: Cii 70(5): 1475-1488
Shan, T.; Ma, J.; Wu, T.; Shen, Z.; Su, P. 2020: Modeling of ultraviolet omni-directional multiple scattering channel based on Monte Carlo method. Optics Letters 45(20): 5724-5727
Schott, B.H.; Antonia, A.L.; Wang, L.; Pittman, K.J.; Sixt, B.S.; Barnes, A.B.; Valdivia, R.H.; Ko, D.C. 2020: Modeling of variables in cellular infection reveals CXCL10 levels are regulated by human genetic variation and the Chlamydia-encoded CPAF protease. Scientific Reports 10(1): 18269
Genois, Él.; Gagnon, L.; Desjardins, M.èl. 2021: Modeling of vascular space occupancy and BOLD functional MRi from first principles using real microvascular angiograms. Magnetic Resonance in Medicine 85(1): 456-468
Moroz, A.N.; Kashurnikov, V.A.; Rudnev, I.A.; Maksimova, A.N. 2021: Modeling of vortex dynamics in HTSs with defects under the impact of pulsed magnetic field. Journal of Physics. Condensed Matter: An Institute of Physics Journal 33(14)
Zhang, S.; Huang, Y.; Li, X.; Jeong, H. 2021: Modeling of wave fields generated by ultrasonic transducers using a quasi-Monte Carlo method. Journal of the Acoustical Society of America 149(1): 7
Gavazzoni, C.; Silvestrini, M.; Brito, C. 2021: Modeling oil-water separation with controlled wetting properties. Journal of Chemical Physics 154(10): 104704
Lange, P.T.; Damania, B. 2020: Modeling oncogenic herpesvirus infections in humanized mice. Current Opinion in Virology 44: 90-96
Gagnon, C.; Godio-Raboutet, Y.; Piercecchi, M.D.; Thollon, L. 2021: Modeling one-handed grip strangulation: Intentionality of the gesture and age influence. Legal Medicine 53: 101962
Lim, L.F.; Starr, R.D.; Evans, L.G.; Parsons, A.M.; Zolensky, M.E.; Boynton, W.V. 2017: Modeling orbital gamma-ray spectroscopy experiments at carbonaceous asteroids. Meteoritics and Planetary Science 52(1): 174-190
Braun, K.N.; Theuerkauf, E.J.; Masterson, A.L.; Curry, B.Brandon.; Horton, D.E. 2019: Modeling organic carbon loss from a rapidly eroding freshwater coastal wetland. Scientific Reports 9(1): 4204
He, S.-Y.; Zhang, Y.; Zhou, Y.; Bao, N.; Cai, Y.; Zhou, P.; Wang, P.; Li, L.; Jiang, Q. 2020: Modeling osteoinduction in titanium bone scaffold with a representative channel structure. Materials Science and Engineering. C Materials for Biological Applications 117: 111347
Abere, Y.; Helmick, G.; Blaisten-Barojas, E. 2022: Modeling oxidised polypyrrole in the condensed phase with a novel force field. Journal of Physics. Condensed Matter: An Institute of Physics Journal 34(18)
Mallya, K.; Gautam, S.K.; Aithal, A.; Batra, S.K.; Jain, M. 2021: Modeling pancreatic cancer in mice for experimental therapeutics. Biochimica et Biophysica Acta. Reviews on Cancer 1876(1): 188554
Plazas, A.à; Malvestio, I.; Starnini, M.; Díaz-Guilera, A. 2021: Modeling partial lockdowns in multiplex networks using partition strategies. Applied Network Science 6(1): 27
Nelson, E.L.; Khan, S.A.; Thorve, S.; Greenough, P.G. 2020: Modeling pastoralist movement in response to environmental variables and conflict in Somaliland: Combining agent-based modeling and geospatial data. Plos one 15(12): E0244185
Kippenberger, S.; Bernd, A.; Thaçi, D.; Kaufmann, R.; Meissner, M. 2013: Modeling pattern formation in skin diseases by a cellular automaton. Journal of Investigative Dermatology 133(2): 567-571
Nasernejad, P.; Sayed, T.; Alsaleh, R. 2021: Modeling pedestrian behavior in pedestrian-vehicle near misses: a continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach. Accident; Analysis and Prevention 161: 106355
Rivera-Torres, N.; Banas, K.; Kmiec, E.B. 2020: Modeling pediatric AML FLT3 mutations using CRISPR/Cas12a- mediated gene editing. Leukemia and Lymphoma 61(13): 3078-3088
Li, Z.; Niu, S. 2021: Modeling pesticides in global surface soils: Evaluating spatiotemporal patterns for USEtox-based steady-state concentrations. Science of the Total Environment 791: 148412
Li, Z.; Niu, S. 2021: Modeling pesticides in global surface soils: Exploring relationships between continuous and discrete emission patterns. Science of the Total Environment 798: 149309
Sundermann, E.M.; Lercher, M.J.; Heckmann, D. 2021: Modeling photosynthetic resource allocation connects physiology with evolutionary environments. Scientific Reports 11(1): 15979
Tajgardoon, M.; Cooper, G.F.; King, A.J.; Clermont, G.; Hochheiser, H.; Hauskrecht, M.; Sittig, D.F.; Visweswaran, S. 2020: Modeling physician variability to prioritize relevant medical record information. Jamia Open 3(4): 602-610
Teufel, A.I.; Liu, W.; Draghi, J.A.; Cameron, C.E.; Wilke, C.O. 2021: Modeling poliovirus replication dynamics from live time-lapse single-cell imaging data. Scientific Reports 11(1): 9622
Ganie, Z.A.; Jhala, A.J. 2017: Modeling pollen-mediated gene flow from glyphosate-resistant to -susceptible giant ragweed (Ambrosia trifida L.) under field conditions. Scientific Reports 7(1): 17067
Da Cunha, A.C.; De Abreu, C.H.M.; Crizanto, J.L.P.; Cunha, H.F.A.; Brito, A.U.; Pereira, N.N. 2021: Modeling pollutant dispersion scenarios in high vessel-traffic areas of the Lower Amazon River. Marine Pollution Bulletin 168: 112404
Sleiman, Y.; Souidi, M.; Kumar, R.; Yang, E.; Jaffré, F.; Zhou, T.; Bernardin, A.; Reiken, S.; Cazorla, O.; Kajava, A.V.; Moreau, A.; Pasquié, J.-L.; Marks, A.R.; Lerman, B.B.; Chen, S.; Cheung, J.W.; Evans, T.; Lacampagne, A.; Meli, A.C. 2020: Modeling polymorphic ventricular tachycardia at rest using patient-specific induced pluripotent stem cell-derived cardiomyocytes. Ebiomedicine 60: 103024
Ozkaynak, Hûk.; Palma, T.; Touma, J.S.; Thurman, J. 2008: Modeling population exposures to outdoor sources of hazardous air pollutants. Journal of Exposure Science and Environmental Epidemiology 18(1): 45-58
Shimizu, K.; Kuniya, T.; Tokuda, Y. 2021: Modeling population-wide testing of SARS-CoV-2 for containing COVID-19 pandemic in Okinawa, Japan. Journal of General and Family Medicine 22(4): 173-181
Yang, H.; Hu, R.; Ruppert, H.; Noubactep, C. 2021: Modeling porosity loss in Fe 0 -based permeable reactive barriers with Faraday's law. Scientific Reports 11(1): 16998
Weitz, J.S.; Dushoff, J. 2015: Modeling post-death transmission of Ebola: challenges for inference and opportunities for control. Scientific Reports 5: 8751
Von Benda-Beckmann, A.M.; Isojunno, S.; Zandvliet, M.; Ainslie, M.A.; Wensveen, P.J.; Tyack, P.L.; Kvadsheim, P.H.; Lam, F.P.A.; Miller, P.J.O. 2021: Modeling potential masking of echolocating sperm whales exposed to continuous 1-2 kHz naval sonar. Journal of the Acoustical Society of America 149(4): 2908
García-Caballero, M.; Van de Velde, M.; Blacher, S.; Lambert, V.; Balsat, Cédric.; Erpicum, C.; Durré, T.; Kridelka, Fédéric.; Noel, Aès. 2017: Modeling pre-metastatic lymphvascular niche in the mouse ear sponge assay. Scientific Reports 7: 41494
Karnatak, G.; Sarkar, U.K.; Naskar, M.; Roy, K.; Nandi, S.; Mishal, P.; Lianthuamluaia, L.; Kumari, S.; Das, B.K. 2020: Modeling pre-spawning fitness and optimal climate of spotted snakehead Channa punctata (Bloch, 1793) from a Gangetic floodplain wetland of West Bengal, India. International Journal of Biometeorology 64(11): 1889-1898
Yuan, Z.; Frazer, M.; Ahmed, K.A.; Naqvi, S.M.H.; Schell, M.J.; Felder, S.; Sanchez, J.; Dessureault, S.; Imanirad, I.; Kim, R.D.; Torres-Roca, J.F.; Hoffe, S.E.; Frakes, J.M. 2020: Modeling precision genomic-based radiation dose response in rectal cancer. Future Oncology 16(30): 2411-2420
Rockwood, R.C.; Elliott, M.L.; Saenz, B.; Nur, N.; Jahncke, J. 2020: Modeling predator and prey hotspots: Management implications of baleen whale co-occurrence with krill in Central California. Plos one 15(7): E0235603
Murugesan, M.; Padmanaban, M.; Malodan, R.; Chellaiya, G.K.; Nayanar, S.K. 2020: Modeling predonation testing strategies in platelet donations - Approach from low throughput apheresis blood center from India. Asian Journal of Transfusion Science 14(2): 131-136
Horii, M.; Morey, R.; Bui, T.; Touma, O.; Nelson, K.K.; Cho, H-Young.; Rishik, H.; Laurent, L.C.; Parast, M.M. 2021: Modeling preeclampsia using human induced pluripotent stem cells. Scientific Reports 11(1): 5877
Jordan, M.B. 2017: Modeling primary immune regulatory disorders: Ferrari or Yugo?. Immunology and Cell Biology 95(9): 739-740
Xie, P. 2021: Modeling processive motion of kinesin-13 MCAK and kinesin-14 Cik1-Kar3 molecular motors. Protein Science: a Publication of the Protein Society 30(10): 2092-2105
He, T.; Mo, S.; Guo, W.; Fang, E. 2021: Modeling propagation in shallow water with the range-dependent sea surfaces and fluid seabeds using the equivalent source method. Journal of the Acoustical Society of America 149(2): 997
Bertoni, M.; Kiefer, F.; Biasini, M.; Bordoli, L.; Schwede, T. 2017: Modeling protein quaternary structure of homo- and hetero-oligomers beyond binary interactions by homology. Scientific Reports 7(1): 10480
Antoniak, A.; Biskupek, I.; Bojarski, K.K.; Czaplewski, C.; Giełdoń, A.; Kogut, M.; Kogut, M.łg.M.; Krupa, P.ł; Lipska, A.G.; Liwo, A.; Lubecka, E.A.; Marcisz, M.; Maszota-Zieleniak, M.; Samsonov, S.A.; Sieradzan, A.K.; Ślusarz, M.J.; Ślusarz, R.ł; Wesołowski, P.A.; Ziȩba, K. 2021: Modeling protein structures with the coarse-grained UNRES force field in the CASP14 experiment. Journal of Molecular Graphics and Modelling 108: 108008
Bhardwaj, P.; Kulasiri, D.; Samarasinghe, S. 2021: Modeling protein-protein interactions in axon initial segment to understand their potential impact on action potential initiation. Neural Regeneration Research 16(4): 700-706
Lensink, M.F.; Nadzirin, N.; Velankar, S.; Wodak, S.J. 2020: Modeling protein-protein, protein-peptide, and protein-oligosaccharide complexes: CAPRI 7th edition. Proteins 88(8): 916-938
Brennand, K.J.; Simone, A.; Tran, N.; Gage, F.H. 2012: Modeling psychiatric disorders at the cellular and network levels. Molecular Psychiatry 17(12): 1239-1253
Kaiser, T.; Feng, G. 2015: Modeling psychiatric disorders for developing effective treatments. Nature Medicine 21(9): 979-988
Falk, A.; Heine, V.M.; Harwood, A.J.; Sullivan, P.F.; Peitz, M.; Brüstle, O.; Shen, S.; Sun, Y-M.; Glover, J.C.; Posthuma, D.; Djurovic, S. 2016: Modeling psychiatric disorders: from genomic findings to cellular phenotypes. Molecular Psychiatry 21(9): 1167-1179
Falk, A.; Heine, V.M.; Harwood, A.J.; Sullivan, P.F.; Peitz, M.; Brüstle, O.; Shen, S.; Sun, Y-M.; Glover, J.C.; Posthuma, D.; Djurovic, S. 2016: Modeling psychiatric disorders: from genomic findings to cellular phenotypes. Molecular Psychiatry 21(9): 1321
Sedov, L.; Krasnochub, A.; Polishchuk, V. 2020: Modeling quarantine during epidemics and mass-testing using drones. Plos one 15(6): E0235307
Courtney, T.L.; Lopez-Zelaya, C.; Amezcua-Correa, R.; Keyser, C.K. 2021: Modeling quasi-phase-matched electric-field-induced optical parametric amplification in hollow-core photonic crystal fibers. Optics Express 29(8): 11962-11975
Marenda, M.; Zanardo, M.; Trovato, A.; Seno, F.; Squartini, A. 2016: Modeling quorum sensing trade-offs between bacterial cell density and system extension from open boundaries. Scientific Reports 6: 39142
Jalili-Firoozinezhad, S.; Prantil-Baun, R.; Jiang, A.; Potla, R.; Mammoto, T.; Weaver, J.C.; Ferrante, T.C.; Kim, H.Jung.; Cabral, J.M.S.; Levy, O.; Ingber, D.E. 2018: Modeling radiation injury-induced cell death and countermeasure drug responses in a human Gut-on-a-Chip. Cell Death and Disease 9(2): 223
Kozlov, M.; Horner, M.; Kainz, W.; Weiskopf, N.; Möller, H.E. 2020: Modeling radio-frequency energy-induced heating due to the presence of transcranial electric stimulation setup at 3T. Magma 33(6): 793-807
Griffin, K.J.; Hedge, L.H.; Warton, D.I.; Astles, K.L.; Johnston, E.L. 2021: Modeling recreational fishing intensity in a complex urbanised estuary. Journal of Environmental Management 279: 111529
Reimer, J.R.; Ahmed, S.M.; Brintz, B.; Shah, R.U.; Keegan, L.T.; Ferrari, M.J.; Leung, D.T. 2020: Modeling reductions in SARS-CoV-2 transmission and hospital burden achieved by prioritizing testing using a clinical prediction rule. Medrxiv: the Preprint Server for Health Sciences 2020
Chakraborty, M.; Sarkar, S.; Mukherjee, A.; Shamsudduha, M.; Ahmed, K.M.; Bhattacharya, A.; Mitra, A. 2020: Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learning. Science of the Total Environment 748: 141107
Zhu, X.; Duren, Z.; Wong, W.Hung. 2021: Modeling regulatory network topology improves genome-wide analyses of complex human traits. Nature Communications 12(1): 2851
Kibret, S.; Ryder, D.; Wilson, G.Glenn.; Kumar, L. 2019: Modeling reservoir management for malaria control in Ethiopia. Scientific Reports 9(1): 18075
Hystad, P.U.; Setton, E.M.; Allen, R.W.; Keller, P.C.; Brauer, M. 2009: Modeling residential fine particulate matter infiltration for exposure assessment. Journal of Exposure Science and Environmental Epidemiology 19(6): 570-579
Suárez-Varela, M. 2020: Modeling residential water demand: An approach based on household demand systems. Journal of Environmental Management 261: 109921
Li, Y.-P.; Deng, W.-L.; Jin, Z.-B. 2021: Modeling retinitis pigmentosa through patient-derived retinal organoids. Star Protocols 2(2): 100438
Yu, X. 2020: Modeling return of the epidemic: Impact of population structure, asymptomatic infection, case importation and personal contacts. Travel Medicine and Infectious Disease 37: 101858
Goyal, A. 2021: Modeling reveals no direct role of the extent of HBV DNA integrations on the outcome of infection. Journal of Theoretical Biology 526: 110793
Syuhada, K.; Hakim, A. 2020: Modeling risk dependence and portfolio VaR forecast through vine copula for cryptocurrencies. Plos one 15(12): E0242102
Pitt, D.; Trück, S.; van den Honert, R.; Wong, W.W. 2020: Modeling risks from natural hazards with generalized additive models for location, scale and shape. Journal of Environmental Management 275: 111075
Leoce, N.M.; Jin, Z.; Kehm, R.D.; Roh, J.M.; Laurent, C.A.; Kushi, L.H.; Terry, M.B. 2021: Modeling risks of cardiovascular and cancer mortality following a diagnosis of loco-regional breast cancer. Breast Cancer Research: Bcr 23(1): 91
Radanielson, A.M.; Gaydon, D.S.; Li, T.; Angeles, O.; Roth, C.H. 2018: Modeling salinity effect on rice growth and grain yield with ORYZA v3 and APSIM-Oryza. European Journal of Agronomy: the Journal of the European Society for Agronomy 100: 44-55
Rodriguez, R.; Rubio, R.; Menendez, P. 2012: Modeling sarcomagenesis using multipotent mesenchymal stem cells. Cell Research 22(1): 62-77
Nyandwi, E.; Osei, F.Badu.; Veldkamp, T.; Amer, S. 2020: Modeling schistosomiasis spatial risk dynamics over time in Rwanda using zero-inflated Poisson regression. Scientific Reports 10(1): 19276
Anderson, L.C.; Loker, E.S.; Wearing, H.J. 2021: Modeling schistosomiasis transmission: the importance of snail population structure. Parasites and Vectors 14(1): 94
Taylor, D.R.; Prorock, M.; Horvath, B.J.; Brosnan, J.T. 2021: Modeling seasonal emergence of Poa annua in urban greenspace. Scientific Reports 11(1): 18960
Krewski, D.; Mallick, R.; Zielinski, J.M.; Létourneau, E.G. 2005: Modeling seasonal variation in indoor radon concentrations. Journal of Exposure Analysis and Environmental Epidemiology 15(3): 234-243
Hamel, P.; Valencia, J.; Schmitt, R.; Shrestha, M.; Piman, T.; Sharp, R.P.; Francesconi, W.; Guswa, A.J. 2020: Modeling seasonal water yield for landscape management: Applications in Peru and Myanmar. Journal of Environmental Management 270: 110792
Qi, J.; Zhang, X.; Lee, S.; Wu, Y.; Moglen, G.E.; McCarty, G.W. 2020: Modeling sediment diagenesis processes on riverbed to better quantify aquatic carbon fluxes and stocks in a small watershed of the Mid-Atlantic region. Carbon Balance and Management 15(1): 13
Fuchs, G.; Berg, N.; Broman, L.Mikael.; Prahl Wittberg, L. 2019: Modeling sensitivity and uncertainties in platelet activation models applied on centrifugal pumps for extracorporeal life support. Scientific Reports 9(1): 8809
Kraay, A.N.M.; Nelson, K.N.; Zhao, C.Y.; Demory, D.; Weitz, J.S.; Lopman, B.A. 2020: Modeling serological testing to inform relaxation of social distancing for COVID-19 control. Medrxiv: the Preprint Server for Health Sciences 2020
Weitz, J.S.; Beckett, S.J.; Coenen, A.R.; Demory, D.; Dominguez-Mirazo, M.; Dushoff, J.; Leung, C-Yin.; Li, G.; Măgălie, A.; Park, S.Woo.; Rodriguez-Gonzalez, R.; Shivam, S.; Zhao, C.Y. 2020: Modeling shield immunity to reduce COVID-19 epidemic spread. Nature Medicine 26(6): 849-854
Duchemin, T.; Hocine, M.N. 2020: Modeling sickness absence data: a scoping review. Plos one 15(9): E0238981
Tam, J.; Taylor, G.M.J.; Zivin, K.; Warner, K.E.; Meza, R. 2020: Modeling smoking-attributable mortality among adults with major depression in the United States. Preventive Medicine 140: 106241
Cinque, C.; Pondiki, S.; Oddi, D.; Di Certo, M.G.; Marinelli, S.; Troisi, A.; Moles, A.; D'Amato, F.R. 2012: Modeling socially anhedonic syndromes: genetic and pharmacological manipulation of opioid neurotransmission in mice. Translational Psychiatry 2: E155
Sharker, S.; Balbuena, L.; Marcoux, G.; Feng, C.X. 2020: Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data. Bmc Medical Research Methodology 20(1): 232
Huang, K.; Luo, X.; Zheng, Z. 2020: Modeling solute transport in karst fissure dual porosity system and application: a case study in an arsenic contamination site. Plos one 15(6): E0234998
Bono, J.; Clopath, C. 2017: Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level. Nature Communications 8(1): 706
Manicka, S.; Levin, M. 2019: Modeling somatic computation with non-neural bioelectric networks. Scientific Reports 9(1): 18612
Shuryak, I.; Brenner, D.J.; Blattnig, S.R.; Shukitt-Hale, B.; Rabin, B.M. 2021: Modeling space radiation induced cognitive dysfunction using targeted and non-targeted effects. Scientific Reports 11(1): 8845
Stewart, K.; Li, M.; Xia, Z.; Adewole, S.A.; Adeyemo, O.; Adebamowo, C. 2020: Modeling spatial access to cervical cancer screening services in Ondo State, Nigeria. International Journal of Health Geographics 19(1): 28
Tigabu, S.; Liyew, A.M.; Geremew, B.M. 2021: Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression. Bmc Women's Health 21(1): 254
Rushing, C.S.; Royle, J.Andrew.; Ziolkowski, D.J.; Pardieck, K.L. 2019: Modeling spatially and temporally complex range dynamics when detection is imperfect. Scientific Reports 9(1): 12805
Fiorenza, S.A.; Steckhahn, D.G.; Betterton, M.D. 2021: Modeling spatiotemporally varying protein-protein interactions in CyLaKS, the Cytoskeleton Lattice-based Kinetic Simulator. European Physical Journal. e Soft Matter 44(8): 105
Chuang, C-Yu.; Yang, C-Chao.; Soong, B-Wen.; Yu, C-Ying.; Chen, S-Hwa.; Huang, H-Po.; Kuo, H-Chih. 2019: Modeling spinocerebellar ataxias 2 and 3 with iPSCs reveals a role for glutamate in disease pathology. Scientific Reports 9(1): 1166
Fujimori, K.; Ishikawa, M.; Otomo, A.; Atsuta, N.; Nakamura, R.; Akiyama, T.; Hadano, S.; Aoki, M.; Saya, H.; Sobue, G.; Okano, H. 2018: Modeling sporadic ALS in iPSC-derived motor neurons identifies a potential therapeutic agent. Nature Medicine 24(10): 1579-1589
Ananthakumar, A.; Liu, Y.; Fernandez, C.E.; Truskey, G.A.; Voora, D. 2020: Modeling statin myopathy in a human skeletal muscle microphysiological system. Plos one 15(11): E0242422
Zhang, Z.Q.; Liang, J.; Wang, Z.H.; Zhang, J.J.; Zhou, T.S. 2020: Modeling stochastic gene expression: from Markov to non-Markov models. Mathematical Biosciences and Engineering: Mbe 17(5): 5304-5325
Fan, M.; Xu, J.; Chen, Y.; Li, W. 2021: Modeling streamflow driven by climate change in data-scarce mountainous basins. Science of the Total Environment 790: 148256
Chikina, M.; Pegden, W. 2020: Modeling strict age-targeted mitigation strategies for COVID-19. Plos one 15(7): E0236237
Singer, R.; Sarkar, S. 2020: Modeling strongyloidiasis risk in the United States. International Journal of Infectious Diseases: Ijid: Official Publication of the International Society for Infectious Diseases 100: 366-372
Wu, K.Y.; Doan, D.; Medrano, M.; Chang, C-En.A. 2021: Modeling structural interconversion in Alzheimers' amyloid beta peptide with classical and intrinsically disordered protein force fields. Journal of Biomolecular Structure and Dynamics 2021: 1-18
Kim, M.-S. 2021: Modeling study on fate of micro/nano-plastics in micro/nano-hydrodynamic flow of freshwater. Journal of Hazardous Materials 419: 126397
Berge, T.; Chakraborty, S.; Hansen, P.Juel.; Andersen, K.H. 2017: Modeling succession of key resource-harvesting traits of mixotrophic plankton. Isme Journal 11(1): 212-223
Mustefa, N.M.; Belay, D.B. 2021: Modeling successive birth interval of women in Ethiopia: application of parametric shared frailty and accelerated failure time model. Bmc Women's Health 21(1): 45
Schwalm, C.R.; Huntzinger, D.N.; Michalak, A.M.; Schaefer, K.; Fisher, J.B.; Fang, Y.; Wei, Y. 2020: Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century. Scientific Reports 10(1): 9059
Crasta, D.; Daks, J.S.; Rogge, R.D. 2020: Modeling suicide risk among parents during the COVID-19 pandemic: Psychological inflexibility exacerbates the impact of COVID-19 stressors on interpersonal risk factors for suicide. Journal of Contextual Behavioral Science 18: 117-127
Wang, J.; Xu, X.; Liu, S.; Shao, Y.; Zhang, J.; Wang, J.; Li, Q.; He, Y.; Wang, Y.; Sun, W.; Luo, F.; Qi, W.; Liu, G.; Qi, L.; Wang, H. 2021: Modeling sulfide production in full flow concrete sewers based on the HRT variation of sewerage. Water Science and Technology: a Journal of the International Association on Water Pollution Research 83(9): 2063-2074
De Santana, R.ár.O.; Delgado, R.C.; Schiavetti, A. 2021: Modeling susceptibility to forest fires in the Central Corridor of the Atlantic Forest using the frequency ratio method. Journal of Environmental Management 296: 113343
Jin, M.; Lu, G.; Chen, F.; Shi, X.; Tan, H.; Zhai, J. 2021: Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust. Accident; Analysis and Prevention 157: 106156
Zhang, D.; Patel, P.; Strauss, D.; Qian, X.; Wickramasinghe, S.R. 2021: Modeling tangential flow filtration using reverse asymmetric membranes for bioreactor harvesting. Biotechnology Progress 37(1): E3084
Qiang, N.; Dong, Q.; Zhang, W.; Ge, B.; Ge, F.; Liang, H.; Sun, Y.; Gao, J.; Liu, T. 2020: Modeling task-based fMRi data via deep belief network with neural architecture search. Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society 83: 101747
Kuznetsov, I.A.; Kuznetsov, A.V. 2020: Modeling tau transport in the axon initial segment. Mathematical Biosciences 329: 108468
Vogt, N. 2018: Modeling temperature during optogenetic illumination. Nature Methods 15(10): 763
Fernandez, F.R.; Iftinca, M.C.; Zamponi, G.W.; Turner, R.W. 2021: Modeling temperature- and Cav3 subtype-dependent alterations in T-type calcium channel mediated burst firing. Molecular Brain 14(1): 115
Singh, B.P.; Singh, G. 2020: Modeling tempo of COVID-19 pandemic in India and significance of lockdown. Journal of Public Affairs 20(4): E2257
Johansson, T. 2020: Modeling test learning and dual-task dissociations. Psychonomic Bulletin and Review 27(5): 1036-1042
Paulsen, J.; Collas, P. 2022: Modeling the 3D Genome Using Hi-C and Nuclear Lamin-Genome Contacts. Methods in Molecular Biology 2301: 337-352
Di Stefano, M.; Nützmann, H-Wilhelm. 2021: Modeling the 3D genome of plants. Nucleus 12(1): 65-81
Kuntip, N.; Japrung, D.; Pongprayoon, P. 2021: Modeling the Adsorption of the miR-29a Cancer Biomarker on a Graphene Quantum Dot. Acs Omega 6(33): 21764-21772
Döring, M.; Kreer, C.; Lehnen, N.; Klein, F.; Pfeifer, N. 2019: Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features. Scientific Reports 9(1): 10748
Byléhn, F.; Menéndez, C.A.; Perez-Lemus, G.R.; Alvarado, W.; de Pablo, J.J. 2021: Modeling the Binding Mechanism of Remdesivir, Favilavir, and Ribavirin to SARS-CoV-2 RNA-Dependent RNA Polymerase. Acs Central Science 7(1): 164-174
Wu, L.; Wang, L.; Li, N.; Sun, T.; Qian, T.; Jiang, Y.; Wang, F.; Xu, Y. 2020: Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion. Innovation 1(2): 100033
Schildcrout, S.M. 2021: Modeling the Chemistry of Gaseous Cations Derived from Tricarbon Dioxide. Journal of Physical Chemistry. a 125(33): 7161-7173
Madlmeir, S.; Forgber, T.; Trogrlic, M.; Jajcevic, D.; Kape, A.; Contreras, L.; Carmody, A.; Liu, P.; Davies, C.; Sarkar, A.; Khinast, J.G. 2021: Modeling the coating layer thickness in a pharmaceutical coating process. European Journal of Pharmaceutical Sciences: Official Journal of the European Federation for Pharmaceutical Sciences 161: 105770
Brice, S.; Jabouley, A.; Reyes, S.; Machado, C.; Rogan, C.; Dias-Gastellier, N.; Chabriat, H.; du Montcel, S.T. 2020: Modeling the Cognitive Trajectory in CADASIL. Journal of Alzheimer's Disease: Jad 77(1): 291-300
Clark, A.M. 2021: Modeling the Complexity of the Metastatic Niche Ex Vivo. Methods in Molecular Biology 2258: 221-239
Labibi, B.; Bashkurov, M.; Wrana, J.L.; Attisano, L. 2020: Modeling the Control of TGF-β/Smad Nuclear Accumulation by the Hippo Pathway Effectors, Taz/Yap. Iscience 23(8): 101416
Li, Y.; Du, L.; Wang, Y.; Gu, Y.; Zhen, X.; Hu, X.; Sun, X.; Dong, H. 2020: Modeling the Cost-effectiveness of Esophageal Cancer Screening in China. Cost Effectiveness and Resource Allocation: C/E 18: 33
Theocharopoulou, G.; Vlamos, P. 2020: Modeling the Critical Activation of Chaperone Machinery in Protein Folding. Advances in Experimental Medicine and Biology 1194: 351-358
Cohen, L.B. 2004: Modeling the Development of Infant Categorization. Infancy: the Official Journal of the International Society on Infant Studies 5(2): 127-130
Wawrziczny, E.; Antoine, P.; Doba, K. 2021: Modeling the Distress of Adult-Child Caregivers of people with Dementia: the Mediating Role of Self-Efficacy. Journal of Alzheimer's Disease: Jad 84(2): 855-867
Kanle Satishchandra, N.; Geerts, S. 2020: Modeling the Distribution of the Invasive Alien Cycad Aulacaspis Scale in Africa Under Current and Future Climate Scenarios. Journal of Economic Entomology 113(5): 2276-2284
Adewole, M.O.; Onifade, A.A.; Abdullah, F.A.; Kasali, F.; Ismail, A.I.M. 2021: Modeling the Dynamics of COVID-19 in Nigeria. International Journal of Applied and Computational Mathematics 7(3): 67
Mpeshe, S.C.; Nyerere, N. 2021: Modeling the Dynamics of Coronavirus Disease Pandemic Coupled with Fear Epidemics. Computational and Mathematical Methods in Medicine 2021: 6647425
Tang, L. 2020: Modeling the E. coli cell. Nature Methods 17(10): 958
Hart, P.C.; Bajwa, P.; Kenny, H.A. 2021: Modeling the Early Steps of Ovarian Cancer Dissemination in an Organotypic Culture of the Human Peritoneal Cavity. Advances in Experimental Medicine and Biology 1330: 75-94
Ney, J.P.; Gururangan, K.; Parvizi, J. 2021: Modeling the Economic Value of Ceribell Rapid Response EEG in the Inpatient Hospital Setting. Journal of Medical Economics 2021: 1
Luo, Y.; Lovelett, R.J.; Price, J.V.; Radhakrishnan, D.; Barnthouse, K.; Hu, P.; Schaefer, E.; Cunningham, J.; Lee, K.H.; Shivappa, R.B.; Ogunnaike, B.A. 2021: Modeling the Effect of Amino Acids and Copper on Monoclonal Antibody Productivity and Glycosylation: a Modular Approach. Biotechnology Journal 16(2): E2000261
Kashaju, N.; Kimathi, M.; Masanja, V.G. 2021: Modeling the Effect of Binding Kinetics in Spatial Drug Distribution in the Brain. Computational and Mathematical Methods in Medicine 2021: 5533886
Levy, B.; Correia, H.E.; Chirove, F.; Ronoh, M.; Abebe, A.; Kgosimore, M.; Chimbola, O.; Machingauta, M.H.; Lenhart, S.; White, K.A.J. 2021: Modeling the Effect of HIV/AIDS Stigma on HIV Infection Dynamics in Kenya. Bulletin of Mathematical Biology 83(5): 55
Clapp, C.E.; Anderson, J.G. 2019: Modeling the Effect of Potential Nitric Acid Removal During Convective Injection of Water Vapor Over the Central United States on the Chemical Composition of the Lower Stratosphere. Journal of Geophysical Research. Atmospheres: Jgr 124(16): 9743-9770
Gautier, T.; Silwal, R.; Saremi, A.; Boss, A.; Breton, M.D. 2022: Modeling the Effect of Subcutaneous Lixisenatide on Glucoregulatory Endocrine Secretions and Gastric Emptying in Type 2 Diabetes to Simulate the Effect of iGlarLixi Administration Timing on Blood Sugar Profiles. Journal of Diabetes Science and Technology 16(2): 428-433
Song, J.-S.; Im, J.-H.; Park, Y.-H.; Lim, S.-H.; Yook, M.-J.; Lee, B.-W.; Kim, J.-W.; Kim, D.-S. 2021: Modeling the Effects of Elevated Temperature and Weed Interference on Rice Grain Yield. Frontiers in Plant Science 12: 663779
Coffey, R.; Butcher, J.; Benham, B.; Johnson, T. 2020: Modeling the Effects of Future Hydroclimatic Conditions on Microbial Water Quality and Management Practices in two Agricultural Watersheds. Transactions of the Asabe 63(3): 753-770
Lambura, A.G.; Mwanga, G.G.; Luboobi, L.; Kuznetsov, D. 2020: Modeling the Effects of Helminth Infection on the Transmission Dynamics of Mycobacterium tuberculosis under Optimal Control Strategies. Computational and Mathematical Methods in Medicine 2020: 8869377
Moose, D.L.; Williams-Perez, S.; Cafun, R.; Krog, B.L.; Henry, M.D. 2021: Modeling the Effects of Hemodynamic Stress on Circulating Tumor Cells using a Syringe and Needle. Journal of Visualized Experiments: Jove 2021(170)
Roda, W.C.; Liu, S.; Power, C.; Li, M.Y. 2021: Modeling the Effects of Latency Reversing Drugs During HIV-1 and SIV Brain Infection with Implications for the "Shock and Kill" Strategy. Bulletin of Mathematical Biology 83(4): 39
Wang, L.; Li, K.; Zhang, S.; Liu, C.; Zhang, Z.; Chen, J.; Gu, M. 2020: Modeling the Effects of Module Size and Material Property on Thermoelectric Generator Power. Acs Omega 5(46): 29844-29853
Mutua, J.M.; Perelson, A.S.; Kumar, A.; Vaidya, N.K. 2019: Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics. Scientific Reports 9(1): 5423
Walk, J.C.; Ayati, B.P.; Holstein, S.A. 2019: Modeling the Effects of Multiple Myeloma on Kidney Function. Scientific Reports 9(1): 1726
Gathungu, D.K.; Ojiambo, V.N.; Kimathi, M.E.M.; Mwalili, S.M. 2020: Modeling the Effects of Nonpharmaceutical Interventions on COVID-19 Spread in Kenya. Interdisciplinary Perspectives on Infectious Diseases 2020: 6231461
Naik, P.A.; Zu, J.; Ghori, M.B.; Naik, M.-U.-D. 2021: Modeling the effects of the contaminated environments on COVID-19 transmission in India. Results in Physics 29: 104774
Raucci, U.; Savarese, M.; Adamo, C.; Ciofini, I.; Rega, N. 2020: Modeling the Electron Transfer Chain in an Artificial Photosynthetic Machine. Journal of Physical Chemistry Letters 11(22): 9738-9744
Husen, P.; Solov'yov, I.A. 2021: Modeling the Energy Landscape of Side Reactions in the Cytochrome bc1 Complex. Frontiers in Chemistry 9: 643796
Shen, M.; Peng, Z.; Xiao, Y.; Zhang, L. 2020: Modeling the Epidemic Trend of the 2019 Novel Coronavirus Outbreak in China. Innovation 1(3): 100048
Rovetta, A.; Bhagavathula, A.S.; Castaldo, L. 2020: Modeling the Epidemiological Trend and Behavior of COVID-19 in Italy. Cureus 12(8): E9884
Wilson, J.; Octaviani, M.; Bandowe, B.A.M.; Wietzoreck, M.; Zetzsch, C.; Pöschl, U.; Berkemeier, T.; Lammel, G. 2020: Modeling the Formation, Degradation, and Spatiotemporal Distribution of 2-Nitrofluoranthene and 2-Nitropyrene in the Global Atmosphere. Environmental Science and Technology 54(22): 14224-14234
Ebefors, K.; Lassén, E.; Anandakrishnan, N.; Azeloglu, E.U.; Daehn, I.S. 2021: Modeling the Glomerular Filtration Barrier and Intercellular Crosstalk. Frontiers in Physiology 12: 689083
Russo, M.W.; Fix, O.K.; Koteish, A.A.; Duggan, K.; Ditmyer, M.; Fuchs, M.; Chung, R.T.; Reddy, G. 2020: Modeling the Hepatology Workforce in the United States: a Predicted Critical Shortage. Hepatology 72(4): 1444-1454
Tse, L.H.; Wong, Y.H. 2021: Modeling the Heterodimer Interfaces of Melatonin Receptors. Frontiers in Cellular Neuroscience 15: 725296
Thor, M.; Deasy, J.O.; Hu, C.; Gore, E.; Bar-Ad, V.; Robinson, C.; Wheatley, M.; Oh, J.H.; Bogart, J.; Garces, Y.I.; Kavadi, V.S.; Narayan, S.; Iyengar, P.; Witt, J.S.; Welsh, J.W.; Koprowski, C.D.; Larner, J.M.; Xiao, Y.; Bradley, J. 2020: Modeling the Impact of Cardiopulmonary Irradiation on Overall Survival in NRG Oncology Trial RTOG 0617. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 26(17): 4643-4650
Shindhelm, A.C.; Thio, B.J.; Sinha, S.R. 2021: Modeling the Impact of Electrode/Tissue Geometry on Electrical Stimulation in Stereo-EEG. Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society 2021
Parriott, A.; Kahn, J.G.; Ashki, H.; Readhead, A.; Barry, P.M.; Goodell, A.J.; Flood, J.; Shete, P.B. 2020: Modeling the Impact of Recommendations for Primary Care-Based Screening for Latent Tuberculosis Infection in California. Public Health Reports 135(1_suppl): 172s-181s
Nyerere, N.; Luboobi, L.S.; Mpeshe, S.C.; Shirima, G.M. 2020: Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis. Computational and Mathematical Methods in Medicine 2020: 8972063
Smith, M.A.; Strickland, J.C. 2017: Modeling the Impact of Social Contact on Substance Use. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 42(1): 364
Aminoff, H.; Meijer, S.; Arnelo, U.; Groth, K. 2021: Modeling the Implementation Context of a Telemedicine Service: Work Domain Analysis in a Surgical Setting. Jmir Formative Research 5(6): E26505
Roete, I.; Frank, S.L.; Fikkert, P.; Casillas, M. 2020: Modeling the Influence of Language Input Statistics on Children's Speech Production. Cognitive Science 44(12): E12924
Bao, Y.; Xu, Y.; Qi, L.; Zhai, S. 2020: Modeling the Influence of Nonclinic Visits on the Transmission of Respiratory Diseases. Computational and Mathematical Methods in Medicine 2020: 8049631
Madhuranthakam, C.M.R.; Shakeri, A.; Rao, P.P.N. 2021: Modeling the Inhibition Kinetics of Curcumin, Orange G, and Resveratrol with Amyloid-β Peptide. Acs Omega 6(12): 8680-8686
Hichri, E.; Selimi, Z.; Kucera, J.P. 2020: Modeling the Interactions Between Sodium Channels Provides Insight into the Negative Dominance of Certain Channel Mutations. Frontiers in Physiology 11: 589386
Lowe, J.S.; Siegel, D.J. 2020: Modeling the Interface between Lithium Metal and its Native Oxide. Acs Applied Materials and Interfaces 12(41): 46015-46026
Alsiyabi, A.; Immethun, C.M.; Saha, R. 2019: Modeling the Interplay between Photosynthesis, CO 2 Fixation, and the Quinone Pool in a Purple Non-Sulfur Bacterium. Scientific Reports 9(1): 12638
Okoyo, C.; Medley, G.; Mwandawiro, C.; Onyango, N. 2021: Modeling the Interruption of the Transmission of Soil-Transmitted Helminths Infections in Kenya: Modeling Deworming, Water, and Sanitation Impacts. Frontiers in Public Health 9: 637866
Zhong, L.; Zhang, Q.; Li, X. 2018: Modeling the Intervention of HIV Transmission across Intertwined Key Populations. Scientific Reports 8(1): 2432
Biermeier-Hanson, B.; Wynne, K.T.; Thrasher, G.; Lyons, J.B. 2021: Modeling the Joint Effect of Leader and Follower Authenticity on Work and Non-Work Outcomes. Journal of Psychology 2021: 1-30
Hudson, S.V.; Dolin, C.E.; Poole, L.G.; Massey, V.L.; Wilkey, D.; Beier, J.I.; Merchant, M.L.; Frieboes, H.B.; Arteel, G.E. 2017: Modeling the Kinetics of Integrin Receptor Binding to Hepatic Extracellular Matrix Proteins. Scientific Reports 7(1): 12444
Zhang, T.; Huang, C.-H. 2020: Modeling the Kinetics of UV/Peracetic Acid Advanced Oxidation Process. Environmental Science and Technology 54(12): 7579-7590
Vallet, A.; Chusseau, L.; Philippe, F.; Jean-Marie, A.; Brévalle, G.ël.; Alouini, M.; Paranthoën, C. 2020: Modeling the Lamb mode-coupling constant of quantum well semiconductor lasers. Optics Express 28(15): 21407-21419
Scielzo, C.; Ghia, P. 2020: Modeling the Leukemia Microenviroment in Vitro. Frontiers in Oncology 10: 607608
Comandatore, F.; Radaelli, G.; Montante, S.; Sacchi, L.; Clementi, E.; Epis, S.; Cafiso, A.; Serra, V.; Pajoro, M.; Di Carlo, D.; Floriano, A.M.; Stavru, F.; Bandi, C.; Sassera, D. 2021: Modeling the Life Cycle of the Intramitochondrial Bacterium "Candidatus Midichloria mitochondrii" Using Electron Microscopy Data. Mbio 12(3): E0057421
Yu, Y.P.; Chen, J.T.; Jiang, Z.W.; Wang, L.; Yu, C.K.; Yan, X.Y.; Yao, C.; Xia, J.L. 2020: Modeling the Long-term Antibody Response and Duration of Immune Protection Induced by an Inactivated, Preservative-free Hepatitis a Vaccine (Healive) in Children. Biomedical and Environmental Sciences: Bes 33(7): 484-492
Zhuang, J.; Guan, M. 2021: Modeling the Mediating and Moderating Roles of Risk Perceptions, Efficacy, Desired Uncertainty, and Worry in Information Seeking-Cancer Screening Relationship Using HINTS 2017 Data. Health Communication 2021: 1-12
Stille, C.M.; Bekolay, T.; Blouw, P.; Kröger, B.J. 2020: Modeling the Mental Lexicon as Part of Long-Term and Working Memory and Simulating Lexical Access in a Naming Task Including Semantic and Phonological Cues. Frontiers in Psychology 11: 1594
Gillissen, J.J.J.; Ness, C. 2020: Modeling the Microstructure and Stress in Dense Suspensions under Inhomogeneous Flow. Physical Review Letters 125(18): 184503
Hanley, A.W.; de Vibe, M.; Solhaug, I.; Farb, N.; Goldin, P.R.; Gross, J.J.; Garland, E.L. 2021: Modeling the mindfulness-to-meaning theory's mindful reappraisal hypothesis: Replication with longitudinal data from a randomized controlled study. Stress and Health: Journal of the International Society for the Investigation of Stress 37(4): 778-789
Deng, K.; Li, J.; Xie, W. 2020: Modeling the Moiré fringe visibility of Talbot-Lau X-ray grating interferometry for single-frame multi-contrast imaging. Optics Express 28(18): 27107-27122
Ahlholm, V.-H.; Rönkkö, V.; Ala-Mursula, L.; Karppinen, J.; Oura, P. 2021: Modeling the Multidimensional Predictors of Multisite Musculoskeletal Pain Across Adulthood-A Generalized Estimating Equations Approach. Frontiers in Public Health 9: 709778
Rukhlenko, O.S.; Kholodenko, B.N. 2021: Modeling the Nonlinear Dynamics of Intracellular Signaling Networks. Bio-Protocol 11(14):E4089
Larsen, J.R.; Martin, M.R.; Martin, J.D.; Kuhn, P.; Hicks, J.B. 2020: Modeling the Onset of Symptoms of COVID-19. Frontiers in Public Health 8: 473
Plaugher, D.; Murrugarra, D. 2021: Modeling the Pancreatic Cancer Microenvironment in Search of Control Targets. Bulletin of Mathematical Biology 83(11): 115
Huang, Y.; Ma, Y.; Wan, J.; Wang, Y. 2021: Modeling the Performance of Full-Scale Anaerobic Biochemical System Treating Deinking Pulp Wastewater Based on Modified Anaerobic Digestion Model No. 1. Frontiers in Microbiology 12: 755398
Fang, L.; Zhao, C. 2019: Modeling the Permeation Rates of Organic Migrants through a Fluoropolymer Film. PDA Journal of Pharmaceutical Science and Technology 73(1): 70-82
Wissmann, R.; Zhan, C.; D'Amica, K.; Prakash, S.; Xu, Y. 2021: Modeling the Population Health Impact of ENDS in the U.S. American Journal of Health Behavior 45(3): 588-610
Valderrama, L.; Ayala, S.; Reyes, C.; González, C.R. 2021: Modeling the Potential Distribution of the Malaria Vector Anopheles (Ano.) pseudopunctipennis Theobald (Diptera: Culicidae) in Arid Regions of Northern Chile. Frontiers in Public Health 9: 611152
Burgess, C.; Nelis, L.; Huang, C. 2021: Modeling the Potential Impact of Norovirus Vaccination Among DoD Forces. Military Medicine 186(Suppl 1): 91-99
Jia, X.; Chen, J.; Li, L.; Jia, N.; Jiangtulu, B.; Xue, T.; Zhang, L.; Li, Z.; Ye, R.; Wang, B. 2020: Modeling the Prevalence of Asymptomatic COVID-19 Infections in the Chinese Mainland. Innovation 1(2): 100026
Zeng, X.; Gong, J.; Li, X.; Wu, D.L. 2021: Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations. Journal of Geophysical Research. Atmospheres: Jgr 126(4): E2020jd033923
Daver, H.; Rebek, J.; Himo, F. 2020: Modeling the Reaction of Carboxylic Acids and Isonitriles in a Self-Assembled Capsule. Chemistry 26(47): 10861-10870
Dzaye, O.; Razavi, A.C.; Dardari, Z.A.; Shaw, L.J.; Berman, D.S.; Budoff, M.J.; Miedema, M.D.; Nasir, K.; Rozanski, A.; Rumberger, J.A.; Orringer, C.E.; Smith, S.C.; Blankstein, R.; Whelton, S.P.; Mortensen, M.B.ød.; Blaha, M.J. 2021: Modeling the Recommended Age for Initiating Coronary Artery Calcium Testing Among At-Risk Young Adults. Journal of the American College of Cardiology 78(16): 1573-1583
De A Camargo, F.; Adimy, M.; Esteva, L.; Métayer, C.ém.; Ferreira, C.áu.P. 2021: Modeling the Relationship Between Antibody-Dependent Enhancement and Disease Severity in Secondary Dengue Infection. Bulletin of Mathematical Biology 83(8): 85
Papanikolaou, Y.; Fulgoni, V.L. 2021: Modeling the Removal and Addition of Eggs in the Current US Diet is Linked to Choline and Lutein + Zeaxanthin Usual Intakes in Childhood. Current Developments in Nutrition 5(1): Nzaa 181
Wood, W.H.J.; Johnson, M.P. 2020: Modeling the Role of LHCII-LHCII, PSII-LHCII, and PSI-LHCIi Interactions in State Transitions. Biophysical Journal 119(2): 287-299
Mhashal, A.R.; Romero-Rivera, A.; Mydy, L.S.; Cristobal, J.R.; Gulick, A.M.; Richard, J.P.; Kamerlin, S.C.L. 2020: Modeling the Role of a Flexible Loop and Active Site Side Chains in Hydride Transfer Catalyzed by Glycerol-3-phosphate Dehydrogenase. Acs Catalysis 10(19): 11253-11267
Pranda, M.A.; Stroka, K.M. 2021: Modeling the Roles of Astrocytes in the Metastatic Tumor Cell Microenvironment. Advances in Experimental Medicine and Biology 1329: 217-237
Pastor-Fernández, I.án.; Collantes-Fernández, E.; Jiménez-Pelayo, L.; Ortega-Mora, L.M.; Horcajo, P. 2020: Modeling the Ruminant Placenta-Pathogen Interactions in Apicomplexan Parasites: Current and Future Perspectives. Frontiers in Veterinary Science 7: 634458
Rao, R.T.; Androulakis, I.P. 2017: Modeling the Sex Differences and Interindividual Variability in the Activity of the Hypothalamic-Pituitary-Adrenal Axis. Endocrinology 158(11): 4017-4037
Kelling, C.; Graif, C.; Korkmaz, G.; Haran, M. 2021: Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods. Journal of Quantitative Criminology 37(2): 481-516
Tesfaw, L.M.; Muluneh, E.K. 2020: Modeling the Spatial Distribution of Cancer and Determining the Associated Risk Factors. Cancer Informatics 19: 1176935120939898
Simbawa, E.; Al-Johani, N.; Al-Tuwairqi, S. 2020: Modeling the Spatiotemporal Dynamics of Oncolytic Viruses and Radiotherapy as a Treatment for Cancer. Computational and Mathematical Methods in Medicine 2020: 3642654
Car, Z.; Baressi Šegota, S.; Anđelić, N.; Lorencin, I.; Mrzljak, V. 2020: Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron. Computational and Mathematical Methods in Medicine 2020: 5714714
Hasahya, E.; Thakur, K.K.; Dione, M.M.; Wieland, B.; Oba, P.; Kungu, J.; Lee, H.S. 2021: Modeling the Spread of Porcine Reproductive and Respiratory Syndrome Among Pig Farms in Lira District of Northern Uganda. Frontiers in Veterinary Science 8: 727895
Geleso, M.G. 2020: Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State. Risk Management and Healthcare Policy 13: 473-481
Bonzon, P. 2020: Modeling the Synchronization of Multimodal Perceptions as a Basis for the Emergence of Deterministic Behaviors. Frontiers in Neurorobotics 14: 570358
Reckell, T.; Nguyen, K.; Phan, T.; Crook, S.; Kostelich, E.J.; Kuang, Y. 2021: Modeling the synergistic properties of drugs in hormonal treatment for prostate cancer. Journal of Theoretical Biology 514: 110570
Corral-Jara, K.F.; Rosas da Silva, G.ça.; Fierro, N.A.; Soumelis, V. 2021: Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy. Frontiers in Cell and Developmental Biology 9: 675099
Onwude, D.I.; Hashim, N.; Janius, R.B.; Nawi, N.M.; Abdan, K. 2016: Modeling the Thin-Layer Drying of Fruits and Vegetables: a Review. Comprehensive Reviews in Food Science and Food Safety 15(3): 599-618
Huang, B.; Jolly, M.Kumar.; Lu, M.; Tsarfaty, I.; Ben-Jacob, E.; Onuchic, J'.N. 2015: Modeling the Transitions between Collective and Solitary Migration Phenotypes in Cancer Metastasis. Scientific Reports 5: 17379
Yuan, R.; Huang, J.; Zhang, X.; Ruan, S. 2018: Modeling the Transmission Dynamics of Clonorchiasis in Foshan, China. Scientific Reports 8(1): 15176
Miller, G.F.; Greening, B.; Rice, K.L.; Arifkhanova, A.; Meltzer, M.I.; Coronado, F.át. 2022: Modeling the Transmission of COVID-19: Impact of Mitigation Strategies in Prekindergarten-Grade 12 Public Schools, United States, 2021. Journal of Public Health Management and Practice: Jphmp 28(1): 25-35
Wang, Y.; Shim, E.; He, N.; Pourdeyhimi, B.; Gao, W. 2022: Modeling the Triboelectric Behaviors of Elastomeric Nonwoven Fabrics. Advanced Materials 34(2): E2106429
Young, C. 2021: Modeling the Way: Strategies to Enhance Nurse Certification. Journal of Continuing Education in Nursing 52(7): 304-306
Kiely, P.; Seed, C.R.; Hoad, V.C.; Gambhir, M.; Cheng, A.C.; McQuilten, Z.K.; Wood, E.M. 2020: Modeling the West Nile virus transfusion transmission risk in a nonoutbreak country associated with traveling donors. Transfusion 60(11): 2611-2621
Guilment, T.; Sidorovskaia, N.; Li, K. 2020: Modeling the acoustic repertoire of Cuvier's beaked whale clicks. Journal of the Acoustical Society of America 147(5): 3605
Shumilov, A.V.; Gotovtsev, P.M. 2021: Modeling the activity of the dopamine signaling pathway by combination of analog electrical circuit and mathematical approaches. Heliyon 7(1): E05879
Azorit, C.ón.; Oya, A. 2021: Modeling the age-related shift in the mineral content of hard tissues in two Mediterranean deer species. Archives of Oral Biology 122: 104999
Maggi, L.; Carloni, P.; Rossetti, G. 2020: Modeling the allosteric modulation on a G-Protein Coupled Receptor: the case of M2 muscarinic Acetylcholine Receptor in complex with LY211960. Scientific Reports 10(1): 3037
Durán, F.; Robles, Án.; Giménez, J.B.; Ferrer, J.é; Ribes, J.; Serralta, J.ín. 2020: Modeling the anaerobic treatment of sulfate-rich urban wastewater: Application to AnMBR technology. Water Research 184: 116133
Lebrun, S.J.; Chavez, S.; Chan, R.; Nguyen, L.; Jester, J.V. 2021: Modeling the antioxidant properties of the eye reduces the false-positive rate of a nonanimal eye irritation test (OptiSafe). Toxicology in Vitro: An International Journal Published in Association with Bibra 76: 105208
Hinow, P.; Pinter, G.; Yan, W.; Wang, S.E. 2021: Modeling the bidirectional glutamine/ammonium conversion between cancer cells and cancer-associated fibroblasts. Peerj 9: E10648
Giani Tagliabue, S.; Faber, S.C.; Motta, S.; Denison, M.S.; Bonati, L. 2019: Modeling the binding of diverse ligands within the Ah receptor ligand binding domain. Scientific Reports 9(1): 10693
Koifman, O.I.; Lebedeva, N.S.; Gubarev, Y.A.; Koifman, M.O. 2021: Modeling the binding of protoporphyrin IX, verteporfin, and chlorin e6 to SARS-CoV-2 proteins. Chemistry of Heterocyclic Compounds 57(4): 423-431
Dolschak, K.; Berger, T.W. 2020: Modeling the biogeochemistry of sulfur in beech (Fagus sylvatica L.) stands of the Vienna Woods. Modeling Earth Systems and Environment 6(3): 1557-1572
Dedè, L.; Regazzoni, F.; Vergara, C.; Zunino, P.; Guglielmo, M.; Scrofani, R.; Fusini, L.; Cogliati, C.; Pontone, G.; Quarteroni, A. 2021: Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study. Mathematical Biosciences and Engineering: Mbe 18(4): 3364-3383
Mohammadfam, I.; Mirzaei Aliabadi, M.; Soltanian, A.R.; Mahdinia, M. 2020: Modeling the causes-effect relationships among major accident predictors based on a fuzzy multi-criteria decision-making method. Work 67(2): 313-321
Abo, S.ép.M.C.; Layton, A.T. 2021: Modeling the circadian regulation of the immune system: Sexually dimorphic effects of shift work. Plos Computational Biology 17(3): E1008514
Koch, L.K.; Kochmann, J.; Klimpel, S.; Cunze, S. 2017: Modeling the climatic suitability of leishmaniasis vector species in Europe. Scientific Reports 7(1): 13325
Sun, R.; Vermeulen, A.; Devlieghere, F. 2021: Modeling the combined effect of temperature, pH, acetic and lactic acid concentrations on the growth/no growth interface of acid-tolerant Bacillus spores. International Journal of Food Microbiology 360: 109419
Ranjbar, M.H.; Etemad-Shahidi, A.; Kamranzad, B. 2020: Modeling the combined impact of climate change and sea-level rise on general circulation and residence time in a semi-enclosed sea. Science of the Total Environment 740: 140073
Huang, H.; Chen, Y.; Ma, Y. 2021: Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading. Applied Mathematics and Computation 388: 125536
Hu, B.; Ning, P.; Qiu, J.; Tao, V.; Devlin, A.T.; Chen, H.; Wang, J.; Lin, H. 2021: Modeling the complete spatiotemporal spread of the COVID-19 epidemic in mainland China. International Journal of Infectious Diseases: Ijid: Official Publication of the International Society for Infectious Diseases 110: 247-257
Fernando, M.B.; Ahfeldt, T.; Brennand, K.J. 2020: Modeling the complex genetic architectures of brain disease. Nature Genetics 52(4): 363-369
Kasman, A.; Del Giudice, F.; Shkolyar, E.; Porreca, A.; Busetto, G.M.; Lu, Y.; Eisenberg, M.L. 2020: Modeling the contribution of the obesity epidemic to the temporal decline in sperm counts. Archivio Italiano di Urologia Andrologia: Organo Ufficiale di Societa Italiana di Ecografia Urologica e Nefrologica 92(4)
Christensen, J.H.; Børglum, A.D. 2019: Modeling the cooperativity of schizophrenia risk genes. Nature Genetics 51(10): 1434-1436
McKay, T.B.; Hutcheon, A.E.K.; Guo, X.; Zieske, J.D.; Karamichos, D. 2020: Modeling the cornea in 3-dimensions: Current and future perspectives. Experimental Eye Research 197: 108127
Luz, P.M.; Struchiner, C.J.; Kim, S.-Y.; Minamisava, R.; Andrade, A.L.S.; Sanderson, C.; Russell, L.B.; Toscano, C.M. 2021: Modeling the cost-effectiveness of maternal acellular pertussis immunization (aP) in different socioeconomic settings: a dynamic transmission model of pertussis in three Brazilian states. Vaccine 39(1): 125-136
Salvatore, P.P.; de Broucker, G.; Vojnov, L.; Moss, W.J.; Dowdy, D.W.; Sutcliffe, C.G. 2021: Modeling the cost-effectiveness of point-of-care platforms for infant diagnosis of HIV in sub-Saharan African countries. Aids 35(2): 287-297
Acosta, C.; Gianinazzi, M.; Dort, T.; Armstrong, N.; Ryder, S.; Lundqvist, T.; Ekelund, M.; Lycke, J. 2021: Modeling the cost-effectiveness of prolonged-release fampridine for the treatment of walking impairment in patients with multiple sclerosis in Sweden. Journal of Medical Economics 2021: 1
Fournier, C.; Glass, J.D. 2015: Modeling the course of amyotrophic lateral sclerosis. Nature Biotechnology 33(1): 45-47
Holden, J.E.; Mori, K.; Dienel, G.A.; Cruz, N.F.; Nelson, T.; Sokoloff, L. 1991: Modeling the dependence of hexose distribution volumes in brain on plasma glucose concentration: implications for estimation of the local 2-deoxyglucose lumped constant. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism 11(2): 171-182
Do Nascimento Salvador, P.C.; de Lucas, R.D.; Schäfer, L.; Guglielmo, L.G.A.; Grassi, B.; Denadai, B.S.ér. 2021: Modeling the depletion and reconstitution of W': Effects of prior exercise on cycling tolerance. Respiratory Physiology and Neurobiology 285: 103590
Zaharie, D.; Moleriu, R.D.; Mic, F.A. 2016: Modeling the development of the post-natal mouse thymus in the absence of bone marrow progenitors. Scientific Reports 6: 36159
San José, A.; Roelofs, A.; Meyer, A.S. 2021: Modeling the distributional dynamics of attention and semantic interference in word production. Cognition 211: 104636
Jarnevich, C.S.; Hayes, M.A.; Fitzgerald, L.A.; Yackel Adams, A.A.; Falk, B.G.; Collier, M.A.M.; Bonewell, L'.R.; Klug, P.E.; Naretto, S.; Reed, R.N. 2018: Modeling the distributions of tegu lizards in native and potential invasive ranges. Scientific Reports 8(1): 10193
Tayyab Rashid, M.; Ahmed Jatoi, M.; Safdar, B.; Wali, A.; Muhammad Aadil, R.; Sarpong, F.; Ma, H. 2020: Modeling the drying of ultrasound and glucose pretreated sweet potatoes: the impact on phytochemical and functional groups. Ultrasonics Sonochemistry 68: 105226
Sager, G.; Szul, T.; Lee, E.; Kawai, R.; Presley, J.F.; Sztul, E. 2021: Modeling the dynamic behaviors of the COPi vesicle formation regulators, the small GTPase Arf1 and its activating Sec7 guanine nucleotide exchange factor GBF1 on Golgi membranes. Molecular Biology of the Cell 32(5): 446-459
Amouch, M.; Karim, N. 2021: Modeling the dynamic of COVID-19 with different types of transmissions. Chaos Solitons and Fractals 150: 111188
de Souza, M.C.; Eisenmann, J.C.; e Santos, D.V.; de Chaves, R.N.; de Moraes Forjaz, C.L.; Maia, J.A.R. 2015: Modeling the dynamics of BMI changes during adolescence. The Oporto Growth, Health and Performance Study. International Journal of Obesity 39(7): 1063-1069
Heitzman-Breen, N.; Golden, J.; Vazquez, A.; Kuchinsky, S.C.; Duggal, N.K.; Ciupe, S.M. 2021: Modeling the dynamics of Usutu virus infection in birds. Journal of Theoretical Biology 531: 110896
Tang, Y.; Cao, Y. 2020: Modeling the dynamics of antibody-target binding in living tumors. Scientific Reports 10(1): 16764
Wilson, D.P.; Sokolovskii, A.S.; LaPierre, R.R.; Panciera, F.; Glas, F.; Dubrovskii, V.G. 2020: Modeling the dynamics of interface morphology and crystal phase change in self-catalyzed GaAs nanowires. Nanotechnology 31(48): 485602
Reynaldi, A.; Smith, N.L.; Schlub, T.E.; Venturi, V.; Rudd, B.D.; Davenport, M.P. 2016: Modeling the dynamics of neonatal CD8 + T-cell responses. Immunology and Cell Biology 94(9): 838-848
Khan, T.; Zaman, G.; El-Khatib, Y. 2021: Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model. Results in Physics 24: 104004
Eshragh, A.; Alizamir, S.; Howley, P.; Stojanovski, E. 2020: Modeling the dynamics of the COVID-19 population in Australia: a probabilistic analysis. Plos one 15(10): E0240153
Hattaf, K.; Dutta, H. 2020: Modeling the dynamics of viral infections in presence of latently infected cells. Chaos Solitons and Fractals 136: 109916
Lim, A.-Y.; Cheong, H.-K.; Oh, Y.J.; Lee, J.K.; So, J.B.; Kim, H.J.; Han, B.; Park, S.W.; Jang, Y.; Yoon, C.Y.; Park, Y.O.; Kim, J.-H.; Kim, J.Y. 2021: Modeling the early temporal dynamics of viral load in respiratory tract specimens of COVID-19 patients in Incheon, the Republic of Korea. International Journal of Infectious Diseases: Ijid: Official Publication of the International Society for Infectious Diseases 108: 428-434
Fan, J.; Wang, S.; Li, H.; Yan, Z.; Zhang, Y.; Zheng, X.; Wang, P. 2020: Modeling the ecological status response of rivers to multiple stressors using machine learning: a comparison of environmental DNA metabarcoding and morphological data. Water Research 183: 116004
Jiang, R.; Wang, Y.-S. 2020: Modeling the ecosystem response of the semi-closed Daya Bay to the thermal discharge from two nearby nuclear power plants. Ecotoxicology 29(6): 736-750
Liu, X.; Wang, L.; Ma, X.; Wang, J.; Wu, L. 2021: Modeling the effect of age on quantiles of the incubation period distribution of COVID-19. Bmc Public Health 21(1): 1762
Das, A.; Ghosh, S.; Das, K.; Basu, T.; Das, M.; Dutta, I. 2020: Modeling the effect of area deprivation on COVID-19 incidences: a study of Chennai megacity, India. Public Health 185: 266-269
Shen, M.; Xiao, Y.; Rong, L. 2015: Modeling the effect of comprehensive interventions on Ebola virus transmission. Scientific Reports 5: 15818
Raza, A.; Ahmadian, A.; Rafiq, M.; Salahshour, S.; Naveed, M.; Ferrara, M.; Soori, A.H. 2020: Modeling the effect of delay strategy on transmission dynamics of HIV/AIDS disease. Advances in Difference Equations 1: 663
Abueg, M.; Hinch, R.; Wu, N.; Liu, L.; Probert, W.; Wu, A.; Eastham, P.; Shafi, Y.; Rosencrantz, M.; Dikovsky, M.; Cheng, Z.; Nurtay, A.; Abeler-Dörner, L.; Bonsall, D.; McConnell, M.V.; O'Banion, S.; Fraser, C. 2021: Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. Npj Digital Medicine 4(1): 49
Shao, X.; Zhong, Y.; Liu, W.; Li, R.Y.M. 2021: Modeling the effect of green technology innovation and renewable energy on carbon neutrality in N-11 countries? Evidence from advance panel estimations. Journal of Environmental Management 296: 113189
Dordevic, D.; Kushkevych, I.; Jancikova, S.; Zeljkovic, S.C.; Zdarsky, M.; Hodulova, L. 2020: Modeling the effect of heat treatment on fatty acid composition in home-made olive oil preparations. Open Life Sciences 15(1): 606-618
Coletti, R.; Pugliese, A.; Marchetti, L. 2021: Modeling the effect of immunotherapies on human castration-resistant prostate cancer. Journal of Theoretical Biology 509: 110500
Memarbashi, R.; Sorouri, E. 2020: Modeling the effect of information transmission on the drug dynamic. European Physical Journal Plus 135(1): 54
Friis, I.; Verkhovtsev, A.; Solov'yov, I.A.; Solov'yov, A.V. 2020: Modeling the effect of ion-induced shock waves and DNA breakage with the reactive CHARMM force field. Journal of Computational Chemistry 41(28): 2429-2439
Oraby, T.; Tyshenko, M.G.; Maldonado, J.Campo.; Vatcheva, K.; Elsaadany, S.; Alali, W.Q.; Longenecker, J.C.; Al-Zoughool, M. 2021: Modeling the effect of lockdown timing as a COVID-19 control measure in countries with differing social contacts. Scientific Reports 11(1): 3354
Ciarelli, G.; Jiang, J.; El Haddad, I.; Bigi, A.; Aksoyoglu, S.; Prévôt, A.é S.H.; Marinoni, A.; Shen, J.; Yan, C.; Bianchi, F. 2021: Modeling the effect of reduced traffic due to COVID-19 measures on air quality using a chemical transport model: impacts on the Po Valley and the Swiss Plateau regions. Environmental Science: Atmospheres 1(5): 228-240
Shamsi, M.; Mirzaei, M.; Shahsavari, S.; Safari, A.; Saeb, M. 2020: Modeling the effect of static stretching and strengthening exercise in lengthened position on balance in low back pain subject with shortened hamstring: a randomized controlled clinical trial. Bmc Musculoskeletal Disorders 21(1): 809
Pericot-Valverde, I.; Heo, M.; Litwin, A.H.; Niu, J.; Gaalema, D.E. 2021: Modeling the effect of stress on vaping behavior among young adults: a randomized cross-over pilot study. Drug and Alcohol Dependence 225: 108798
Song, H.T.; Tian, D.; Shan, C.H. 2020: Modeling the effect of temperature on dengue virus transmission with periodic delay differential equations. Mathematical Biosciences and Engineering: Mbe 17(4): 4147-4164
Dean, J.L.; McClendon, A.K.; Stengel, K.R.; Knudsen, E.S. 2010: Modeling the effect of the RB tumor suppressor on disease progression: dependence on oncogene network and cellular context. Oncogene 29(1): 68-80
Parikh, N.; Youssef, M.; Swarup, S.; Eubank, S. 2013: Modeling the effect of transient populations on epidemics in Washington DC. Scientific Reports 3: 3152
Zobaer, T.; Sutradhar, A. 2021: Modeling the effect of tumor compression on airflow dynamics in trachea using contact simulation and CFD analysis. Computers in Biology and Medicine 135: 104574
Larremore, D.B.; Toomre, D.; Parker, R. 2021: Modeling the effectiveness of olfactory testing to limit SARS-CoV-2 transmission. Nature Communications 12(1): 3664
Bushira, K.M. 2022: Modeling the effectiveness of social distancing interventions on the epidemic curve of coronavirus disease in Ethiopia. Modeling Earth Systems and Environment 8(2): 1887-1897
Bergman, D.R.; Karikomi, M.K.; Yu, M.; Nie, Q.; MacLean, A.L. 2021: Modeling the effects of EMT-immune dynamics on carcinoma disease progression. Communications Biology 4(1): 983
Traoré, A.; Konané, F.V. 2020: Modeling the effects of contact tracing on COVID-19 transmission. Advances in Difference Equations 1: 509
Chiba, A. 2021: Modeling the effects of contact-tracing apps on the spread of the coronavirus disease: Mechanisms, conditions, and efficiency. Plos one 16(9): E0256151
Corey, R.M.; Singer, A.C. 2021: Modeling the effects of dynamic range compression on signals in noise. Journal of the Acoustical Society of America 150(1): 159
Lembaid, I.; Moussadek, R.; Mrabet, R.; Douaik, A.; Bouhaouss, A. 2021: Modeling the effects of farming management practices on soil organic carbon stock under two tillage practices in a semi-arid region, Morocco. Heliyon 7(1): E05889
Klein, N.ël.; Theux, C.; Arlettaz, R.ël.; Jacot, A.; Pradervand, J.-N. 2020: Modeling the effects of grassland management intensity on biodiversity. Ecology and Evolution 10(23): 13518-13529
Jimenez-Vergara, A.C.; Van Drunen, R.; Cagle, T.; Munoz-Pinto, D.J. 2020: Modeling the effects of hyaluronic acid degradation on the regulation of human astrocyte phenotype using multicomponent interpenetrating polymer networks (mIPNs). Scientific Reports 10(1): 20734
Kennedy, D.M.; Zambrano, G.J.é; Wang, Y.; Neto, O.P. 2020: Modeling the effects of intervention strategies on COVID-19 transmission dynamics. Journal of Clinical Virology: the Official Publication of the Pan American Society for Clinical Virology 128: 104440
Kennedy, D.M.; Zambrano, G.José.; Wang, Y.; Neto, O.Pinto. 2020: Modeling the effects of intervention strategies on COVID-19 transmission dynamics. Journal of Clinical Virology: the Official Publication of the Pan American Society for Clinical Virology 128: 104440
Kennedy, D.M.; Zambrano, G.José.; Wang, Y.; Neto, O.Pinto. 2020: Modeling the effects of intervention strategies on COVID-19 transmission dynamics. Journal of Clinical Virology: the Official Publication of the Pan American Society for Clinical Virology 128: 104440
Kennedy, D.M.; Zambrano, G.José.; Wang, Y.; Neto, O.Pinto. 2020: Modeling the effects of intervention strategies on COVID-19 transmission dynamics. Journal of Clinical Virology: the Official Publication of the Pan American Society for Clinical Virology 128: 104440
Ayon, B.D.; Ofori-Amoah, B.; Meng, L.; Oh, J.-S.; Baker, K. 2020: Modeling the effects of lake-effect snow related weather conditions on daily traffic crashes: a time series count data approach. Accident; Analysis and Prevention 144: 105510
Agmon, E.; Solon, Jérôme.; Bassereau, P.; Stockwell, B.R. 2018: Modeling the effects of lipid peroxidation during ferroptosis on membrane properties. Scientific Reports 8(1): 5155
Van Swieten, M.M.H.; Bogacz, R. 2020: Modeling the effects of motivation on choice and learning in the basal ganglia. Plos Computational Biology 16(5): E1007465
Schwetlick, L.; Rothkegel, L.Oliver.Martin.; Trukenbrod, H.Arne.; Engbert, R. 2020: Modeling the effects of perisaccadic attention on gaze statistics during scene viewing. Communications Biology 3(1): 727
Ghosh, I.; Martcheva, M. 2021: Modeling the effects of prosocial awareness on COVID-19 dynamics: Case studies on Colombia and India. Nonlinear Dynamics 104(4): 4681-4700
Capper, J.L.; De Carvalho, T.B.; Hancock, A.S.; Sá Filho, O.G.; Odeyemi, I.; Bartram, D.J. 2021: Modeling the effects of steroid implant use on the environmental and economic sustainability of Brazilian beef production. Translational Animal Science 5(4): Txab 144
Pan, W.; Huang, Q.; Huang, G.; Xing, L. 2021: Modeling the effects of temperature on the migration and transformation of nitrate during riverbank filtration using HYDRUS-2D. Science of the Total Environment 783: 146656
Cronin, J.T.; Ii, J.G.; Muthunayake, A.; Shivaji, R. 2020: Modeling the effects of trait-mediated dispersal on coexistence of mutualists. Mathematical Biosciences and Engineering: Mbe 17(6): 7838-7861
Kim, K.S.; Kondoh, T.; Asai, Y.; Takada, A.; Iwami, S. 2020: Modeling the efficiency of filovirus entry into cells in vitro: Effects of SNP mutations in the receptor molecule. Plos Computational Biology 16(9): E1007612
Park, S-Hoon.; Hwang, J.; Park, G-Su.; Ha, J-Hwan.; Zhang, M.; Kim, D.; Yun, D-Jin.; Lee, S.; Lee, S.Hyun. 2019: Modeling the electrical resistivity of polymer composites with segregated structures. Nature Communications 10(1): 2537
Klamt, S.; Grammel, H.; Straube, R.; Ghosh, R.; Gilles, E.Dieter. 2008: Modeling the electron transport chain of purple non-sulfur bacteria. Molecular Systems Biology 4: 156
Blower, S.M.; Chou, T. 2004: Modeling the emergence of the 'hot zones': tuberculosis and the amplification dynamics of drug resistance. Nature Medicine 10(10): 1111-1116
Li, Y.; Peng, D.; Zu, L.; Fu, M.; Ma, Y.; Zhang, S.; Wang, B.; Liu, J.; Zhang, H.; Yin, H.; Ding, Y. 2021: Modeling the emissions of rural vehicles based on real-world driving cycles. Science of the Total Environment 793: 148380
Schuster, S.; Ewald, J.; Kaleta, C. 2021: Modeling the energy metabolism in immune cells. Current Opinion in Biotechnology 68: 282-291
Stover, J.; Glaubius, R.; Teng, Y.; Kelly, S.; Brown, T.; Hallett, T.B.; Revill, P.; Bärnighausen, T.; Phillips, A.N.; Fontaine, C.; Frescura, L.; Izazola-Licea, J.A.; Semini, I.; Godfrey-Faussett, P.; De Lay, P.R.; Benzaken, A.èl.S.; Ghys, P.D. 2021: Modeling the epidemiological impact of the UNAIDS 2025 targets to end AIDS as a public health threat by 2030. Plos Medicine 18(10): E1003831
De Gregorio, V.; La Rocca, A.; Urciuolo, F.; Annunziata, C.; Tornesello, M.L.; Buonaguro, F.M.; Netti, P.A.; Imparato, G. 2020: Modeling the epithelial-mesenchymal transition process in a 3D organotypic cervical neoplasia. Acta Biomaterialia 116: 209-222
Holmes, K.H.; Lindquist, J.L.; Rebarber, R.; Werle, R.; Yerka, M.; Tenhumberg, B. 2022: Modeling the evolution of herbicide resistance in weed species with a complex life cycle. Ecological Applications: a Publication of the Ecological Society of America 32(1): E02473
Shahriar, A.; Tan, J.; Sharma, P.; Hanigan, D.; Verburg, P.; Pagilla, K.; Yang, Y. 2021: Modeling the fate and human health impacts of pharmaceuticals and personal care products in reclaimed wastewater irrigation for agriculture. Environmental Pollution 276: 116532
Agapiou, S.; Anastasiou, A.; Baxevani, A.; Nicolaides, C.; Hadjigeorgiou, G.; Christofides, T.; Constantinou, E.; Nikolopoulos, G.; Fokianos, K. 2021: Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus. Scientific Reports 11(1): 7342
Joshi, P.; Bodnya, C.; Rasmussen, M.L.; Romero-Morales, A.I.; Bright, A.; Gama, V. 2020: Modeling the function of BAX and BAK in early human brain development using iPSC-derived systems. Cell Death and Disease 11(9): 808
Konopka, G.; Wexler, E.; Rosen, E.; Mukamel, Z.; Osborn, G.E.; Chen, L.; Lu, D.; Gao, F.; Gao, K.; Lowe, J.K.; Geschwind, D.H. 2012: Modeling the functional genomics of autism using human neurons. Molecular Psychiatry 17(2): 202-214
Lefèvre, C.; Bohuon, P.; Akissoé, L.; Ollier, L.; Matignon, B.; Mestres, C. 2021: Modeling the gelatinization-melting transition of the starch-water system in pulses (lentil, bean and chickpea). Carbohydrate Polymers 264: 117983
Leta, S.; Fetene, E.; Mulatu, T.; Amenu, K.; Jaleta, M.Bedasa.; Beyene, T.Jibat.; Negussie, H.; Revie, C.W. 2019: Modeling the global distribution of Culicoides imicola: an Ensemble approach. Scientific Reports 9(1): 14187
Wang, Y.; Xu, X.; Wang, R. 2021: Modeling the grid cell activity on non-horizontal surfaces based on oscillatory interference modulated by gravity. Neural Networks: the Official Journal of the International Neural Network Society 141: 199-210
Culhane, J.; Sharma, M.; Wilson, K.; Roberts, D.A.; Mugo, C.; Wamalwa, D.; Inwani, I.; Barnabas, R.V.; Kohler, P.K. 2020: Modeling the health impact and cost threshold of long-acting ART for adolescents and young adults in Kenya. Eclinicalmedicine 25: 100453
Shokhirev, M.N.; Johnson, A.A. 2021: Modeling the human aging transcriptome across tissues, health status, and sex. Aging Cell 20(1): E13280
Barnhart, B.; Pettus, P.; Halama, J.; McKane, R.; Mayer, P.; Djang, K.; Brookes, A.; Moskal, L.M. 2021: Modeling the hydrologic effects of watershed-scale green roof implementation in the Pacific Northwest, United States. Journal of Environmental Management 277: 111418
Yadav, R.; Awasthi, N.; Shukla, A.; Kumar, D. 2021: Modeling the hydroxylation of estragole via human liver cytochrome P450. Journal of Molecular Modeling 27(7): 199
Daggubati, R.; Sabouni, M.A.; Rigatelli, G. 2021: Modeling the Ideal 2-Stent Strategy in Coronary Bifurcation! Is there Light at the End of the Tunnel?. Cardiovascular Revascularization Medicine: Including Molecular Interventions 24: 18-19
Sethi, K.; Levine, E.S.; Roh, S.; Marx, J.L.; Ramsey, D.J. 2021: Modeling the impact of COVID-19 on Retina Clinic Performance. Bmc Ophthalmology 21(1): 206
Ramos, A.M.; Vela-Pérez, M.; Ferrández, M.R.; Kubik, A.B.; Ivorra, B. 2021: Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19. Communications in Nonlinear Science and Numerical Simulation 102: 105937
Sendi, P.; Palmer, A.J.; Hauri, P.; Craig, B.A.; Horber, F.F. 2002: Modeling the impact of adjustable gastric banding on survival in patients with morbid obesity. Obesity Research 10(4): 291-295
Zhao, J.; Murray, S.; Lipuma, J.J. 2014: Modeling the impact of antibiotic exposure on human microbiota. Scientific Reports 4: 4345
Russell, S.J.; Hope, S.; Croker, H.; Crozier, S.; Packer, J.; Inskip, H.; Viner, R.M. 2021: Modeling the impact of calorie-reduction interventions on population prevalence and inequalities in childhood obesity in the Southampton Women's Survey. Obesity Science and Practice 7(5): 545-554
Fuentes-Santos, I.; Labarta, U.ío.; Fernández-Reiriz, M.ía.J.é; Kay, S.; Hjøllo, S.S.æt.; Alvarez-Salgado, X.A.ón. 2021: Modeling the impact of climate change on mussel aquaculture in a coastal upwelling system: a critical assessment. Science of the Total Environment 775: 145020
Weinstein, Z.B.; Kuru, N.; Kiriakov, S.; Palmer, A.C.; Khalil, A.S.; Clemons, P.A.; Zaman, M.H.; Roth, F.P.; Cokol, M. 2018: Modeling the impact of drug interactions on therapeutic selectivity. Nature Communications 9(1): 3452
Bornaa, C.S.; Seidu, B.; Seini, Y.I. 2021: Modeling the impact of early interventions on the transmission dynamics of coronavirus infection. F1000research 10: 518
Karimifard, S.; Li, X.; Elowsky, C.; Li, Y. 2021: Modeling the impact of evolving biofilms on flow in porous media inside a microfluidic channel. Water Research 188: 116536
Li, Q.; Tang, B.; Bragazzi, N.Luigi.; Xiao, Y.; Wu, J. 2020: Modeling the impact of mass influenza vaccination and public health interventions on COVID-19 epidemics with limited detection capability. Mathematical Biosciences 2020: 108378
Li, Q.; Tang, B.; Bragazzi, N.L.; Xiao, Y.; Wu, J. 2020: Modeling the impact of mass influenza vaccination and public health interventions on COVID-19 epidemics with limited detection capability. Mathematical Biosciences 325: 108378
Ullah, S.; Khan, M.A. 2020: Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study. Chaos Solitons and Fractals 139: 110075
Jabakhanji, S.B.; Mealy, A.; Glynn, A.; Sorensen, J. 2021: Modeling the impact of obesity on cost of hip and knee arthroplasty. Annals of Epidemiology 54: 1-6
Kulikov, K.G.; Koshlan, T.V. 2020: Modeling the impact of point mutations on the stability of proteins. Journal of Bioinformatics and Computational Biology 18(4): 2050019
Eastman, B.; Meaney, C.; Przedborski, M.; Kohandel, M. 2021: Modeling the impact of public response on the COVID-19 pandemic in Ontario. Plos one 16(4): E0249456
Lee, B.; Hanley, J.P.; Nowak, S.; Bates, J.H.T.; Hébert-Dufresne, L. 2020: Modeling the impact of school reopening on SARS-CoV-2 transmission using contact structure data from Shanghai. Bmc Public Health 20(1): 1713
Barber, F.; Min, J.; Murray, A.W.; Amir, A. 2021: Modeling the impact of single-cell stochasticity and size control on the population growth rate in asymmetrically dividing cells. Plos Computational Biology 17(6): E1009080
Aleta, A.; Martín-Corral, D.; Piontti, A.P.Y.; Ajelli, M.; Litvinova, M.; Chinazzi, M.; Dean, N.E.; Halloran, M.E.; Longini, I.M.; Merler, S.; Pentland, A.; Vespignani, A.; Moro, E.; Moreno, Y. 2020: Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic. Medrxiv: the Preprint Server for Health Sciences 2020
Firozjaei, M.K.; Fathololomi, S.; Kiavarz, M.; Arsanjani, J.J.; Homaee, M.; Alavipanah, S.K. 2021: Modeling the impact of the COVID-19 lockdowns on urban surface ecological status: a case study of Milan and Wuhan cities. Journal of Environmental Management 286: 112236
Wagner, J.; Sparks, T.L.; Miller, S.; Chen, W.; Macher, J.M.; Waldman, J.M. 2021: Modeling the impacts of physical distancing and other exposure determinants on aerosol transmission. Journal of Occupational and Environmental Hygiene 2021: 1-15
Ma, X.; Du, Y.; Peng, W.; Zhang, S.; Liu, X.; Wang, S.; Yuan, S.; Kolditz, O. 2021: Modeling the impacts of plants and internal organic carbon on remediation performance in the integrated vertical flow constructed wetland. Water Research 204: 117635
Shi, H.; Wang, S.; Li, J.; Zhang, L. 2020: Modeling the impacts of policy measures on resident's PM2.5 reduction behavior: an agent-based simulation analysis. Environmental Geochemistry and Health 42(3): 895-913
Marmet, P.; Holzer, L.; Grolig, J.G.; Bausinger, H.; Mai, A.; Brader, J.M.; Hocker, T. 2021: Modeling the impedance response and steady state behaviour of porous CGO-based MIEC anodes. Physical Chemistry Chemical Physics: Pccp 23(40): 23042-23074
Yacheur, Sâd.; Moussaoui, A.; Tridane, A. 2019: Modeling the imported malaria to north Africa and the absorption effect of the immigrants. Mathematical Biosciences and Engineering: Mbe 16(2): 967-989
Menezes, N.M.C.; Longhi, D.A.; Ortiz, B.O.; Junior, A.F.; de Aragão, G.áu.M.F.ão. 2020: Modeling the inactivation of Aspergillus fischeri and Paecilomyces niveus ascospores in apple juice by different ultraviolet light irradiances. International Journal of Food Microbiology 333: 108773
Yadav, A.Kumar.; Velaga, N.R. 2021: Modeling the influence of 0.03%, 0.05% and 0.08% blood alcohol concentrations on lane positioning and steering control of Indian drivers. Traffic Injury Prevention 2021: 1-11
Vellaisamy Singaram, A.Janani.; Ganesan, N.Devi. 2021: Modeling the influence of extraction parameters on the yield and chemical characteristics of microwave extracted mango ( Mangifera indica L.) peel pectin by response surface methodology. Preparative Biochemistry and Biotechnology 2021: 1-13
Evangelista, H.; Amaral, C.és.; Porto, L.ís.C.óv.ão.; Gonçalves Junior, S.ér.J.; Delfino Sodré, E.; Nogueira, J.; Dos Santos, A.M.G.; Cataldo, M.; Junger, D. 2021: Modeling the initial phase of SARS-CoV-2 deposition in the respiratory tract mimicked by the 11C radionuclide. Plos one 16(1): E0245019
Gordon, D.J.; Motwani, M.; Pellman, D. 2016: Modeling the initiation of Ewing sarcoma tumorigenesis in differentiating human embryonic stem cells. Oncogene 35(24): 3092-3102
Alexeev, A.; Verberg, R.; Balazs, A.C. 2006: Modeling the interactions between deformable capsules rolling on a compliant surface. Soft Matter 2(6): 499-509
Trentini, F.; Guzzetta, G.; Galli, M.; Zardini, A.; Manenti, F.; Putoto, G.; Marziano, V.; Gamshie, W.N.; Tsegaye, A.; Greblo, A.; Melegaro, A.; Ajelli, M.; Merler, S.; Poletti, P. 2021: Modeling the interplay between demography, social contact patterns, and SARS-CoV-2 transmission in the South West Shewa Zone of Oromia Region, Ethiopia. Bmc Medicine 19(1): 89
Zhou, C-Hong.; Zhang, X-Peng.; Liu, F.; Wang, W. 2015: Modeling the interplay between the HIF-1 and p53 pathways in hypoxia. Scientific Reports 5: 13834
Moreno, I.; Viveros-Méndez, P.X. 2021: Modeling the irradiation pattern of LEDs at short distances. Optics Express 29(5): 6845-6853
Ge, C.; Zhang, S.-G.; Wang, B. 2020: Modeling the joint distribution of firm size and firm age based on grouped data. Plos one 15(7): E0235282
Gokarn, S.; Choudhary, A. 2021: Modeling the key factors influencing the reduction of food loss and waste in fresh produce supply chains. Journal of Environmental Management 294: 113063
Frachini, E.; S Reis Ferreira, C.; Kroetz, B.L.; Urbano, A.; Abrão, T.; Santos, M.J. 2021: Modeling the kinetics of potentially toxic elements desorption in sediment affected by a dam breakdown disaster in Doce River - Brazil. Chemosphere 283: 131157
Strömbom, D.; Pandey, S. 2021: Modeling the life cycle of the spotted lanternfly (Lycorma delicatula) with management implications. Mathematical Biosciences 340: 108670
Collins, D.; Lam, H.; Firdaus, H.; Antipolo, J.; Mangao, P. 2020: Modeling the likely economic cost of non-adherence to TB medicines in the Philippines. International Journal of Tuberculosis and Lung Disease: the Official Journal of the International Union Against Tuberculosis and Lung Disease 24(9): 902-909
Ocampo, L.; Yamagishi, K. 2020: Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis. Socio-EconomicPlanningSciences 72: 100911
Youngblood, R.T.; Hafner, B.J.; Czerniecki, J.M.; Brzostowski, J.T.; Allyn, K.J.; Sanders, J.E. 2020: Modeling the mechanics of elevated vacuum systems in prosthetic sockets. Medical Engineering and Physics 84: 75-83
Shafait, Z.; Khan, M.A.; Bilan, Y.; Oláh, J. 2021: Modeling the mediating roles of self-directed learning and knowledge management processes between emotional intelligence and learning outcomes in higher education. Plos one 16(7): E0255177
Di Paola, C.; P Brodholt, J. 2016: Modeling the melting of multicomponent systems: the case of MgSiO3 perovskite under lower mantle conditions. Scientific Reports 6: 29830
Kronberg, J.; Byrne, J.J.; Jansen, J.; Antczak, P.; Hines, A.; Bignell, J.; Katsiadaki, I.; Viant, M.R.; Falciani, F. 2021: Modeling the metabolic profile of Mytilus edulis reveals molecular signatures linked to gonadal development, sex and environmental site. Scientific Reports 11(1): 12882
Shakirov, A.M.; Tsibulsky, S.V.; Antipov, A.E.; Shchadilova, Y.E.; Rubtsov, A.N. 2015: Modeling the metastable dynamics of correlated structures. Scientific Reports 5: 8005
Inokuchi, S.; Fujii, K.; Nakanishi, H.; Takada, A.; Saito, K.; Mizuno, N. 2021: Modeling the minus two base pair stutter ratio of the D1S1656 locus: a sequence-based mixture distribution model. Forensic Science International. Genetics 51: 102450
Wang, G.; McCain, M.L.; Yang, L.; He, A.; Pasqualini, F.Silvio.; Agarwal, A.; Yuan, H.; Jiang, D.; Zhang, D.; Zangi, L.; Geva, J.; Roberts, A.E.; Ma, Q.; Ding, J.; Chen, J.; Wang, D-Zhi.; Li, K.; Wang, J.; Wanders, R.J.A.; Kulik, W.; Vaz, Fédéric.M.; Laflamme, M.A.; Murry, C.E.; Chien, K.R.; Kelley, R.I.; Church, G.M.; Parker, K.Kit.; Pu, W.T. 2014: Modeling the mitochondrial cardiomyopathy of Barth syndrome with induced pluripotent stem cell and heart-on-chip technologies. Nature Medicine 20(6): 616-623
Terryn, P.-J.; Fernandes, P.R.; João, F.; Veloso, A.ón.; Baptista, F.át. 2021: Modeling the musculoskeletal loading in bone remodeling at the hip of a child. Computer Methods and Programs in Biomedicine 210: 106365
Chootipongchaivat, S.; van Ravesteyn, N.T.; Li, X.; Huang, H.; Weedon-Fekjær, H.; Ryser, M.D.; Weaver, D.L.; Burnside, E.S.; Heckman-Stoddard, B.M.; de Koning, H.J.; Lee, S.J. 2020: Modeling the natural history of ductal carcinoma in situ based on population data. Breast Cancer Research: Bcr 22(1): 53
Mu, D.; Qin, H.; Jiao, M.; Hua, S.; Sun, T. 2021: Modeling the neuro-protection of theaflavic acid from black tea and its synergy with nimodipine via mitochondria apoptotic pathway. Journal of Zhejiang University. Science. B 22(2): 123-135
Huang, K.; Szleifer, I. 2020: Modeling the nucleoporins that form the hairy pores. Biochemical Society Transactions 48(4): 1447-1461
Trivedi, B. 1998: Modeling the oddities of biology. Nature Biotechnology 16(13): 1316-1317
Strauman, T.J. 2021: Modeling the onset of a depressive episode: a self-regulation perspective. Current Opinion in Psychology 41: 100-106
Tang, H.; Du, F.; Carr, S.; DeVault, C.; Mello, O.; Mazur, E. 2021: Modeling the optical properties of twisted bilayer photonic crystals. Light Science and Applications 10(1): 157
Mandal, S.; Islam, M.S.; Biswas, M.H.A.; Akter, S. 2021: Modeling the optimal mitigation of potential impact of climate change on coastal ecosystems. Heliyon 7(7): E07401
Zhang, X.; Rong, X.; Li, J.; Fan, M.; Wang, Y.; Sun, X.; Huang, B.; Zhu, H. 2021: Modeling the outbreak and control of African swine fever virus in large-scale pig farms. Journal of Theoretical Biology 526: 110798
Fischbach, U.; Köhler, H.-R.; Wharam, D.; Gärtner, U. 2021: Modeling the oxygen uptake, transport and consumption in an estivating terrestrial snail, Xeropicta derbentina, by the Colburn analogy. Plos one 16(5): E0251379
Fatima, B.; Zaman, G.; Alqudah, M.A.; Abdeljawad, T. 2021: Modeling the pandemic trend of 2019 Coronavirus with optimal control analysis. Results in Physics 20: 103660
Feng, J. 2021: Modeling the pathophysiology of Parkinson's disease in patient-specific neurons. Experimental Biology and Medicine 246(3): 298-304
Andretta, I.; Kipper, M.; Schirmann, G.D.; Franceschina, C.S.; Ribeiro, A.M.L. 2021: Modeling the performance of broilers under heat stress. Poultry Science 100(9): 101338
Boulebd, H. 2021: Modeling the peroxyl radical scavenging behavior of Carnosic acid: Mechanism, kinetics, and effects of physiological environments. Phytochemistry 192: 112950
Safaie, A.; Weiskerger, C.J.; Nguyen, T.D.; Acrey, B.; Zepp, R.G.; Molina, M.; Cyterski, M.; Whelan, G.; Pachepsky, Y.A.; Phanikumar, M.S. 2020: Modeling the photoinactivation and transport of somatic and F-specific coliphages at a Great Lakes beach. Journal of environmental quality 49(6): 1612-1623
Koopman, J.S.; Simon, C.P.; Getz, W.M.; Salter, R. 2021: Modeling the population effects of escape mutations in SARS-CoV-2 to guide vaccination strategies. Epidemics 36: 100484
Cavalcante, Aóbio.M.B.; Duarte, A.S.; Ometto, J.Pierre.H.B. 2020: Modeling the potential distribution of Epiphyllum phyllanthus (L.) Haw. under future climate scenarios in the Caatinga biome. Anais da Academia Brasileira de Ciencias 92(2): E20180836
Al-Khalaf, A.A. 2021: Modeling the potential distribution of the predator of honey bees, Palarus latifrons, in the Arabian deserts using Maxent and GIS. Saudi Journal of Biological Sciences 28(10): 5667-5673
Toth, D.J.A.; Keegan, L.T.; Samore, M.H.; Khader, K.; O'Hagan, J.J.; Yu, H.; Quintana, A.; Swerdlow, D.L. 2020: Modeling the potential impact of administering vaccines against Clostridioides difficile infection to individuals in healthcare facilities. Vaccine 38(37): 5927-5932
Ogunlade, S.T.; Adekunle, A.I.; Meehan, M.T.; Rojas, D.P.; McBryde, E.S. 2020: Modeling the potential of wAu-Wolbachia strain invasion in mosquitoes to control Aedes-borne arboviral infections. Scientific Reports 10(1): 16812
Lemke, R.; Schäfer, L.; Reich, I. 2021: Modeling the predictive potential of extralinguistic context with script knowledge: the case of fragments. Plos one 16(2): E0246255
Mengesha, H.G.; Vatanparast, H.; Feng, C.; Petrucka, P. 2020: Modeling the predictors of stunting in Ethiopia: analysis of 2016 Ethiopian demographic health survey data (EDHS). Bmc Nutrition 6: 52
Balani, S.; Nguyen, L.V.; Eaves, C.J. 2017: Modeling the process of human tumorigenesis. Nature Communications 8: 15422
Deepu, P. 2018: Modeling the production of belly button lint. Scientific Reports 8(1): 14472
Mounce, R. 2003: Modeling the professionally successful practice. Sadj: Journal of the South African Dental Association 58(7): 295-297
Han, T.; Gois, F.N.B.; Oliveira, R.és.; Prates, L.R.; Porto, M.M.d.A. 2021: Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML. Soft Computing 2021: 1-16
Han, Z.; Su, B.; Li, Y.; Dou, J.; Wang, W.; Zhao, L. 2020: Modeling the progressive entrainment of bed sediment by viscous debris flows using the three-dimensional SC-HBP-SPH method. Water Research 182: 116031
Moreira, D.S.; Longo, K.M.; Freitas, S.R.; Yamasoe, M.A.; Mercado, L.M.; Rosário, N.E.; Gloor, E.; Viana, R.S.M.; Miller, J.B.; Gatti, L.V.; Wiedemann, K.T.; Domingues, L.K.G.; Correia, C.C.S. 2017: Modeling the radiative effects of biomass burning aerosols on carbon fluxes in the Amazon region. Atmospheric Chemistry and Physics 17(23): 14785-14810
Pham, H.; Ferrari, R.; Cokus, S.J.; Kurdistani, S.K.; Pellegrini, M. 2007: Modeling the regulatory network of histone acetylation in Saccharomyces cerevisiae. Molecular Systems Biology 3: 153
Falahatdoost, M.; Dolatshahi, B.; Pourshahbaz, A.; Dehghani, M.; Yalguzaghaji, M.N.; Mohammadi, Z. 2020: Modeling the relationship between attachment styles and somatic symptoms with the mediating role of emotional processing. Journal of Education and Health Promotion 9: 157
Sarfraz, M.; Mohsin, M.; Naseem, S.; Kumar, A. 2021: Modeling the relationship between carbon emissions and environmental sustainability during COVID-19: a new evidence from asymmetric ARDL cointegration approach. Environment Development and Sustainability 23(11): 16208-16226
Stoichev, T.; Marques, A.ón.; Almeida, C.M.R. 2021: Modeling the relationship between emerging and persistent organic contaminants in water, sediment and oysters from a temperate lagoon. Marine Pollution Bulletin 164: 111994
Pai, H.-C.; Huang, Y.-L.; Cheng, H.-H.; Yen, W.-J.; Lu, Y.C. 2020: Modeling the relationship between nursing competence and professional socialization of novice nursing students using a latent growth curve analysis. Nurse Education in Practice 49: 102916
McCarthy, J.E.; Dewitt, B.D.; Dumas, B.A.; McCarthy, M.T. 2021: Modeling the relative risk of SARS-CoV-2 infection to inform risk-cost-benefit analyses of activities during the SARS-CoV-2 pandemic. Plos one 16(1): E0245381
Zhang, Y.; Riera, J.; Ostrow, K.; Siddiqui, S.; de Silva, H.; Sarkar, S.; Fernando, L.; Gardner, L. 2020: Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka. Bmc Infectious Diseases 20(1): 649
Kambhu, A.; Li, Y.; Gilmore, T.; Comfort, S. 2021: Modeling the release and spreading of permanganate from aerated slow-release oxidants in a laboratory flow tank. Journal of Hazardous Materials 403: 123719
Malekjani, N.; Jafari, S.M. 2021: Modeling the release of food bioactive ingredients from carriers/nanocarriers by the empirical, semiempirical, and mechanistic models. Comprehensive Reviews in Food Science and Food Safety 20(1): 3-47
Oueslati, K.; Lima, E.C.; Ayachi, F.; Cunha, M.R.; Ben Lamine, A. 2020: Modeling the removal of Reactive Red 120 dye from aqueous effluents by activated carbon. Water Science and Technology: a Journal of the International Association on Water Pollution Research 82(4): 651-662
Rubio, L.John.M.; Dailisan, D.N.; Osorio, M.Jeriesa.P.; David, C.C.; Lim, M.T. 2019: Modeling the residential distribution of enrolled students to assess boundary-induced disparities in public school access. Plos one 14(10): E0222766
Amiri, M.; Ghomsheh, F.T.; Ghazalian, F. 2021: Modeling the resistance mechanism of passive knee joint flexion and extension for use in rehabilitation equipment. Proceedings of the Institution of Mechanical Engineers. Part H Journal of Engineering in Medicine 235(4): 470-479
Liu, J.; Xiao, B.; Jiao, J.; Li, Y.; Wang, X. 2021: Modeling the response of ecological service value to land use change through deep learning simulation in Lanzhou, China. Science of the Total Environment 796: 148981
Rezaei, M.; Fakhri, N.; Pasdar, Y.; Moradinazar, M.; Najafi, F. 2020: Modeling the risk factors for dyslipidemia and blood lipid indices: Ravansar cohort study. Lipids in Health and Disease 19(1): 176
Lan, K.; Xu, C.; Liu, S.; Zhu, J.; Yang, Y.; Zhang, L.; Guo, S.; Xi, M. 2021: Modeling the risk of radiation pneumonitis in esophageal squamous cell carcinoma treated with definitive chemoradiotherapy. Esophagus: Official Journal of the Japan Esophageal Society 18(4): 861-871
Dobrovolny, H.M. 2020: Modeling the role of asymptomatics in infection spread with application to SARS-CoV-2. Plos one 15(8): E0236976
Bos, W.J.T.; Bertoglio, J.-P.; Gostiaux, L. 2021: Modeling the role of clusters and diffusion in the evolution of COVID-19 infections during lock-down. Computational Mechanics 67(5): 1485-1496
Moshkforoush, A.; Ashenagar, B.; Tsoukias, N.M.; Alevriadou, B.Rita. 2019: Modeling the role of endoplasmic reticulum-mitochondria microdomains in calcium dynamics. Scientific Reports 9(1): 17072
Crodelle, J.; McLaughlin, D.W. 2021: Modeling the role of gap junctions between excitatory neurons in the developing visual cortex. Plos Computational Biology 17(7): E1007915
Thorne, S. 2021: Modeling the role of gravitation in metabolic processes. Communicative and Integrative Biology 14(1): 115-135
Guo, T.; Qiu, Z.; Rong, L. 2020: Modeling the role of macrophages in HIV persistence during antiretroviral therapy. Journal of Mathematical Biology 81(1): 369-402
Levy, B.; Edholm, C.; Gaoue, O.; Kaondera-Shava, R.; Kgosimore, M.; Lenhart, S.; Lephodisa, B.; Lungu, E.; Marijani, T.; Nyabadza, F. 2017: Modeling the role of public health education in Ebola virus disease outbreaks in Sudan. Infectious Disease Modelling 2(3): 323-340
Faranda, D.; Alberti, T. 2020: Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model. Chaos 30(11): 111101
Piantham, C.; Ito, K. 2021: Modeling the selective advantage of new amino acids on the hemagglutinin of H1N1 influenza viruses using their patient age distributions. Virus Evolution 7(1): Veab 049
Gu, X.; Yan, X.; Ma, L.; Liu, X. 2020: Modeling the service-route-based crash frequency by a spatiotemporal-random-effect zero-inflated negative binomial model: An empirical analysis for bus-involved crashes. Accident; Analysis and Prevention 144: 105674
Nkepang, G.N.; Gali, H.; Houson, H.; Hedrick, A.F.; Hayes, B.; Causey, O.; Inman, P.; Box, J.; Benton, E.; Galbraith, W.; Awasthi, V. 2019: Production of [ 13 N]ammonia from [ 13 C]methanol on a 7.5 MeV cyclotron using 13 C(p, n) 13 N reaction: Detection of myocardial infarction in a mouse model. Applied Radiation and Isotopes: Including Data Instrumentation and Methods for use in Agriculture Industry and Medicine 150: 19-24
Otieno, F.T.; Gachohi, J.; Gikuma-Njuru, P.; Kariuki, P.; Oyas, H.; Canfield, S.A.; Blackburn, J.K.; Njenga, M.K.; Bett, B. 2021: Modeling the spatial distribution of anthrax in southern Kenya. Plos Neglected Tropical Diseases 15(3): E0009301
Yang, J.; Wang, J.; Xu, C.; Liao, X.; Tao, H. 2022: Modeling the spatial relationship between rice cadmium and soil properties at a regional scale considering confounding effects and spatial heterogeneity. Chemosphere 287(Part 4): 132402
Alyousifi, Y.; Ibrahim, K.; Kang, W.; Zin, W.Z.W. 2020: Modeling the spatio-temporal dynamics of air pollution index based on spatial Markov chain model. Environmental Monitoring and Assessment 192(11): 719
Yue, Y.; Wang, Z.; Tian, L.; Zhao, J.; Lai, Z.; Ji, G.; Xia, H. 2020: Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data. Plos one 15(9): E0238696
Barbarossa, M.V.; Fuhrmann, J.; Meinke, J.H.; Krieg, S.; Varma, H.V.; Castelletti, N.; Lippert, T. 2020: Modeling the spread of COVID-19 in Germany: Early assessment and possible scenarios. Plos one 15(9): E0238559
Olmo, J.; Sanso-Navarro, M. 2021: Modeling the spread of COVID-19 in new York City. Papers in Regional Science: the Journal of the Regional Science Association International 100(5): 1209-1229
Araya, F. 2021: Modeling the spread of COVID-19 on construction workers: An agent-based approach. Safety Science 133: 105022
Li, C.; Ingersoll, A.P.; Klipfel, A.P.; Brettle, H. 2020: Modeling the stability of polygonal patterns of vortices at the poles of Jupiter as revealed by the Juno spacecraft. Proceedings of the National Academy of Sciences of the United States of America 117(39): 24082-24087
Harbourt, D.E.; Haddow, A.D.; Piper, A.E.; Bloomfield, H.; Kearney, B.J.; Fetterer, D.; Gibson, K.; Minogue, T. 2020: Modeling the stability of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on skin, currency, and clothing. Plos Neglected Tropical Diseases 14(11): E0008831
Mary, Y.S.; Mary, Y.S.; Resmi, K.S.; Sarala, S.; Yadav, R.; Celik, I. 2021: Modeling the structural and reactivity properties of hydrazono methyl-4H-chromen-4-one derivatives-wavefunction-dependent properties, molecular docking, and dynamics simulation studies. Journal of Molecular Modeling 27(6): 186
Al-Otaibi, J.S.; Sheena Mary, Y.; Fazil, S.; Mary, Y.Shyma.; Sarala, S. 2021: Modeling the structure and reactivity landscapes of a pyrazole-ammonium ionic derivative using wavefunction-dependent characteristics and screening for potential anti-inflammatory activity. Journal of Biomolecular Structure and Dynamics 2021: 1-13
Omar, S.I.; Zhao, M.; Sekar, R.V.; Moghadam, S.A.; Tuszynski, J.A.; Woodside, M.T. 2021: Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers. Plos Computational Biology 17(1): E1008603
Huang, M.; Hu, L. 2020: Modeling the suppression dynamics of Aedes mosquitoes with mating inhomogeneity. Journal of Biological Dynamics 14(1): 656-678
Jung, J.; Schaffner, D.W. 2021: Modeling the survival of Salmonella on whole cucumbers as a function of temperature and relative humidity. Food Microbiology 100: 103840
Liu, X.; Ahmad, Z.; Gemeay, A.M.; Abdulrahman, A.T.; Hafez, E.H.; Khalil, N. 2021: Modeling the survival times of the COVID-19 patients with a new statistical model: a case study from China. Plos one 16(7): E0254999
Scott, B.; Ward, N.; Otto, J.; Finley, K. 2021: Modeling the system of beliefs that influence driving under the influence of cannabis (DUIC) in Washington State. Accident; Analysis and Prevention 151: 105988
Tarashevska, Y.Y. 2020: Modeling the telescopic connection device of rainbow muscle proteses. Wiadomosci Lekarskie 73(4): 751-754
Cadena, J.; Sales, A.P.; Lam, D.; Enright, H.A.; Wheeler, E.K.; Fischer, N.O. 2020: Modeling the temporal network dynamics of neuronal cultures. Plos Computational Biology 16(5): E1007834
Palos, E.; Reyes-Serrato, A.; Alonso-Nuñez, G.; Sánchez, J.G. 2021: Modeling the ternary chalcogenide Na2MoSe4 from first-principles. Journal of Physics. Condensed Matter: An Institute of Physics Journal 33(2): 025501
Zhou, G. 2021: Modeling the thermal behavior of an acoustically driven gas bubble. Journal of the Acoustical Society of America 149(2): 923
Ricco, G.; Cosma, C.; Bedogni, G.; Biasiolo, A.; Guarino, M.; Pontisso, P.; Morisco, F.; Oliveri, F.; Cavallone, D.; Bonino, F.; Plebani, M.; Brunetto, M.R. 2020: Modeling the time-related fluctuations of AFP and PIVKA-Ii serum levels in patients with cirrhosis undergoing surveillance for hepatocellular carcinoma. Cancer Biomarkers: Section a of Disease Markers 29(2): 189-196
Masseran, N.; Safari, M.A.M. 2020: Modeling the transition behaviors of PM10 pollution index. Environmental Monitoring and Assessment 192(7): 441
Wang, L.; Zhao, H.; Oliva, S.Muniz.; Zhu, H. 2017: Modeling the transmission and control of Zika in Brazil. Scientific Reports 7(1): 7721
Saldaña, F.; Flores-Arguedas, H.; Camacho-Gutiérrez, J.é A.; Barradas, I. 2020: Modeling the transmission dynamics and the impact of the control interventions for the COVID-19 epidemic outbreak. Mathematical Biosciences and Engineering: Mbe 17(4): 4165-4183
Guan, J.; Wei, Y.; Zhao, Y.; Chen, F. 2020: Modeling the transmission dynamics of COVID-19 epidemic: a systematic review. Journal of Biomedical Research 34(6): 422-430
Xia, Z-Qiang.; Wang, S-Fu.; Li, S-Long.; Huang, L-Yu.; Zhang, W-Yi.; Sun, G-Quan.; Gai, Z-Tao.; Jin, Z. 2015: Modeling the transmission dynamics of Ebola virus disease in Liberia. Scientific Reports 5: 13857
Naveed, M.; Baleanu, D.; Raza, A.; Rafiq, M.; Soori, A.H.; Mohsin, M. 2021: Modeling the transmission dynamics of delayed pneumonia-like diseases with a sensitivity of parameters. Advances in Difference Equations 1: 468
Garba, S.M.; Lubuma, J.M.-S.; Tsanou, B. 2020: Modeling the transmission dynamics of the COVID-19 Pandemic in South Africa. Mathematical Biosciences 328: 108441
Yang, C.; Wang, J. 2021: Modeling the transmission of COVID-19 in the US - a case study. Infectious Disease Modelling 6: 195-211
Mo Yang, H.; Pedro Lombardi Junior, L.; Campos Yang, A. 2021: Modeling the transmission of the new coronavirus in São Paulo State, Brazil-assessing the epidemiological impacts of isolating young and elder persons. Mathematical Medicine and Biology: a Journal of the Ima 38(2): 137-177
Tawalbeh, M.; Al-Ismaily, M.; Kruczek, B.; Tezel, F.H. 2021: Modeling the transport of CO2, N2, and their binary mixtures through highly permeable silicalite-1 membranes using Maxwell-Stefan equations. Chemosphere 263: 127935
Xu, J.; Tran, T.N.; Lin, H.; Dai, N. 2020: Modeling the transport of neutral disinfection byproducts in forward osmosis: Roles of reverse salt flux. Water Research 185: 116255
Dexter, E.; Katz, S.L.; Bollens, S.M.; Rollwagen-Bollens, G.; Hampton, S.E. 2020: Modeling the trophic impacts of invasive zooplankton in a highly invaded river. Plos one 15(12): E0243002
Fernandez, J.; Prieto, J.F.; Escayo, J.; Camacho, A.G.; Luzón, F.; Tiampo, K.F.; Palano, M.; Abajo, T.; Pérez, E.; Velasco, J.; Herrero, T.; Bru, G.; Molina, Iñigo.; López, J.; Rodríguez-Velasco, G.; Gómez, I.; Mallorquí, J.J. 2018: Modeling the two- and three-dimensional displacement field in Lorca, Spain, subsidence and the global implications. Scientific Reports 8(1): 14782
Nakamoto, I.; Zhang, J. 2021: Modeling the underestimation of COVID-19 infection. Results in Physics 25: 104271
Barrios, R.E.; Bartelt-Hunt, S.L.; Li, Y.; Li, X. 2021: Modeling the vertical transport of antibiotic resistance genes in agricultural soils following manure application. Environmental Pollution 285: 117480
Wang, S.; Pan, Y.; Wang, Q.; Miao, H.; Brown, A.N.; Rong, L. 2020: Modeling the viral dynamics of SARS-CoV-2 infection. Mathematical Biosciences 328: 108438
Tricot, A.; Sokolov, I.M.; Holcman, D. 2021: Modeling the voltage distribution in a non-locally but globally electroneutral confined electrolyte medium: applications for nanophysiology. Journal of Mathematical Biology 82(7): 65
Cook, C.; McKinley, J.L.; Beran, G.J.O. 2021: Modeling the α- and β-resorcinol phase boundary via combination of density functional theory and density functional tight-binding. Journal of Chemical Physics 154(13): 134109
Serneels, L.; T'Syen, D.; Perez-Benito, L.; Theys, T.; Holt, M.G.; De Strooper, B. 2020: Modeling the β-secretase cleavage site and humanizing amyloid-beta precursor protein in rat and mouse to study Alzheimer's disease. Molecular Neurodegeneration 15(1): 60
Yu, T.; Gan, Q.; Feng, G. 2021: Modeling time series by aggregating multiple fuzzy cognitive maps. PEERJ. Computer Science 7: E726
Decastro, B.Rey.; Sax, S.N.; Chillrud, S.N.; Kinney, P.L.; Spengler, J.D. 2007: Modeling time-location patterns of inner-city high school students in New York and Los Angeles using a longitudinal approach with generalized estimating equations. Journal of Exposure Science and Environmental Epidemiology 17(3): 233-247
Ridenhour, B.J.; Brooker, S.L.; Williams, J.E.; Van Leuven, J.T.; Miller, A.W.; Dearing, M.Denise.; Remien, C.H. 2017: Modeling time-series data from microbial communities. Isme Journal 11(11): 2526-2537
Pascucci, D.; Rubega, M.; Plomp, G. 2020: Modeling time-varying brain networks with a self-tuning optimized Kalman filter. Plos Computational Biology 16(8): E1007566
Yilmaz, L.Safak.; Li, X.; Nanda, S.; Fox, B.; Schroeder, F.; Walhout, A.Jm. 2020: Modeling tissue-relevant Caenorhabditis elegans metabolism at network, pathway, reaction, and metabolite levels. Molecular Systems Biology 16(10): E9649
Patel, N.; Bush, W.S. 2021: Modeling transcriptional regulation using gene regulatory networks based on multi-omics data sources. Bmc Bioinformatics 22(1): 200
Holzscheck, N.; Falckenhayn, C.; Söhle, Jörn.; Kristof, B.; Siegner, R.; Werner, Aé.; Schössow, J.; Jürgens, C.; Völzke, H.; Wenck, H.; Winnefeld, M.; Grönniger, E.; Kaderali, L. 2021: Modeling transcriptomic age using knowledge-primed artificial neural networks. Npj Aging and Mechanisms of Disease 7(1): 15
Pantha, B.; Giri, S.; Joshi, H.R.; Vaidya, N.K. 2021: Modeling transmission dynamics of rabies in Nepal. Infectious Disease Modelling 6: 284-301
Cruz, P.A.d.; Crema-Cruz, L.C.; Campos, F.íc.S. 2021: Modeling transmission dynamics of severe acute respiratory syndrome coronavirus 2 in São Paulo, Brazil. Revista da Sociedade Brasileira de Medicina Tropical 54: E05532020
Gothwal, R.; Thatikonda, S. 2020: Modeling transport of antibiotic resistant bacteria in aquatic environment using stochastic differential equations. Scientific Reports 10(1): 15081
Alam, T.; Bezares-Cruz, J.C.és.; Mahmoud, A.; Jones, K.D. 2022: Modeling transport, fate, and removal kinetics of nitrate and orthophosphate using recycled adsorbents for high and low-flow stormwater runoff treatment. Chemosphere 287(Part 3): 132152
Li, H.; Dai, W.; Xia, X.; Wang, R.; Zhao, J.; Han, L.; Mo, S.; Xiang, W.; Du, L.; Zhu, G.; Xie, J.; Yu, J.; Liu, N.; Huang, M.; Zhu, J.; Cai, G. 2020: Modeling tumor development and metastasis using paired organoids derived from patients with colorectal cancer liver metastases. Journal of Hematology and Oncology 13(1): 119
Nakashima, H.; Alayo, Q.A.; Penaloza-MacMaster, P.; Freeman, G.J.; Kuchroo, V.K.; Reardon, D.A.; Fernandez, S.; Caligiuri, M.; Chiocca, E.Antonio. 2018: Modeling tumor immunity of mouse glioblastoma by exhausted CD8 + T cells. Scientific Reports 8(1): 208
Ou, F.-S.; Tang, J.; An, M.-W.; Mandrekar, S.J. 2021: Modeling tumor measurement data to predict overall survival (OS) in cancer clinical trials. Contemporary Clinical Trials Communications 23: 100827
Herman, S.E.M.; Sun, X.; McAuley, E.M.; Hsieh, M.M.; Pittaluga, S.; Raffeld, M.; Liu, D.; Keyvanfar, K.; Chapman, C.M.; Chen, J.; Buggy, J.J.; Aue, G.; Tisdale, J.F.; Pérez-Galán, P.; Wiestner, A. 2013: Modeling tumor-host interactions of chronic lymphocytic leukemia in xenografted mice to study tumor biology and evaluate targeted therapy. Leukemia 27(12): 2311-2321
Stower, H. 2018: Modeling tumors and their T cell killers. Nature Medicine 24(9): 1303
Grosse, S.D.; Caughey, A.B. 2013: Modeling uncertain outcomes of genetic testing: factor V Leiden mutation and pregnant women. Genetics in Medicine: Official Journal of the American College of Medical Genetics 15(5): 335-337
Salameh, E.; Jarbeau, M.; Morel, F.B.; Zeilani, M.; Aziz, M.; Déchelotte, P.; Marion-Letellier, R. 2020: Modeling undernutrition with enteropathy in mice. Scientific Reports 10(1): 15581
Gao, C.; Feng, Y.; Tong, X.; Jin, Y.; Liu, S.; Wu, P.; Ye, Z.; Gu, C. 2020: Modeling urban encroachment on ecological land using cellular automata and cross-entropy optimization rules. Science of the Total Environment 744: 140996
Vulova, S.; Meier, F.; Rocha, A.D.; Quanz, J.; Nouri, H.; Kleinschmit, B. 2021: Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence. Science of the Total Environment 786: 147293
Hibi, Y. 2020: Modeling variable density flow in subsurface and surface water in the vicinity of the boundary between a surface water-atmosphere system and the subsurface. Journal of Contaminant Hydrology 234: 103688
Chen, Z.; Liu, H.; Xu, C.; Wu, X.; Liang, B.; Cao, J.; Chen, D. 2021: Modeling vegetation greenness and its climate sensitivity with deep-learning technology. Ecology and Evolution 11(12): 7335-7345
Hugalde, I.és.P.; Agüero, C.B.; Barrios-Masias, F.H.; Romero, N.; Viet Nguyen, A.; Riaz, S.; Piccoli, P.; McElrone, A.J.; Walker, M.A.; Vila, H.án.F. 2020: Modeling vegetative vigour in grapevine: unraveling underlying mechanisms. Heliyon 6(12): E05708
Abdul Muhsin Zambang, M.; Jiang, H.; Wahab, L. 2021: Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana. Plos one 16(2): E0246044
Odaka, M.; Inoue, K. 2021: Modeling viral dynamics in SARS-CoV-2 infection based on differential equations and numerical analysis. Heliyon 7(10): E08207
Ejsmond, M.J.; Blackburn, N.; Fridolfsson, E.; Haecky, P.; Andersson, A.; Casini, M.; Belgrano, A.; Hylander, S. 2019: Modeling vitamin B 1 transfer to consumers in the aquatic food web. Scientific Reports 9(1): 10045
Coffman, A.J.; Dou, W.; Hammes-Schiffer, S.; Subotnik, J.E. 2020: Modeling voltammetry curves for proton coupled electron transfer: the importance of nuclear quantum effects. Journal of Chemical Physics 152(23): 234108
Han, Y.-G.; Gao, Y.; Han, L.; Huang, X.-Y. 2020: Modeling water consumption of Populus bolleana by artificial neural network based on fuzzy rules. Ying Yong Sheng Tai Xue Bao 31(5): 1525-1534
Xue, B.; Zhang, H.; Wang, Y.; Tan, Z.; Zhu, Y.; Shrestha, S. 2021: Modeling water quantity and quality for a typical agricultural plain basin of northern China by a coupled model. Science of the Total Environment 790: 148139
Luo, Y.; Li, G.; Shan, G.; Lin, L. 2021: Modeling with Multiple Correlated Spectral Data Based on Approximating the Nonlinear Spectrum Induced by Scattering. Applied Spectroscopy 75(11): 1391-1401
Crowley, C.; Guitron, S.; Son, J.; Pianykh, O.S. 2020: Modeling workflows: Identifying the most predictive features in healthcare operational processes. Plos one 15(6): E0233810
Roux, A.; Wang, X.; Becker, K.; Ma, J. 2020: Modeling α-Synucleinopathy in Organotypic Brain Slice Culture with Preformed α-Synuclein Amyloid Fibrils. Journal of Parkinson's Disease 10(4): 1397-1410
Hussain, I.; Albalasie, A.; Awad, M.I.; Seneviratne, L.; Gan, D. 2018: Modeling, Control, and Numerical Simulations of a Novel Binary-Controlled Variable Stiffness Actuator (BcVSA). Frontiers in Robotics and Ai 5: 68
Gholampour-Faroji, N.; Shakeri, M.-S.; Hemmat, J.; Rastegar-Moghadam, M.; Haddad-Mashadrizeh, A. 2020: Modeling, Mutagenesis and In-silico Structural Stability Assay of the Model of Superoxide Dismutase of Lactococcus Lactis Subsp. Cremoris MG1363. Iranian Journal of Biotechnology 18(1): E2256
Rehman, A.U.; Singh, R.; Agarwal, P. 2021: Modeling, analysis and prediction of new variants of covid-19 and dengue co-infection on complex network. Chaos Solitons and Fractals 150: 111008
Haber, A.; Draganov, J.E.; Heesh, K.; Cadena, J.; Krainak, M. 2021: Modeling, experimental validation, and model order reduction of mirror thermal dynamics. Optics Express 29(15): 24508-24524
Vavassori, V.; Mercuri, E.; Marcovecchio, G.E.; Castiello, M.C.; Schiroli, G.; Albano, L.; Margulies, C.; Buquicchio, F.; Fontana, E.; Beretta, S.; Merelli, I.; Cappelleri, A.; Rancoita, P.M.; Lougaris, V.; Plebani, A.; Kanariou, M.; Lankester, A.; Ferrua, F.; Scanziani, E.; Cotta-Ramusino, C.; Villa, A.; Naldini, L.; Genovese, P. 2021: Modeling, optimization, and comparable efficacy of T cell and hematopoietic stem cell gene editing for treating hyper-IgM syndrome. Embo Molecular Medicine 13(3): E13545
Okoro, C.; Cunningham, C.R.; Baillargeon, A.R.; Wartak, A.; Tearney, G.J. 2021: Modeling, optimization, and validation of an extended-depth-of-field optical coherence tomography probe based on a mirror tunnel. Applied Optics 60(8): 2393-2399
Press, W.H.; Levin, R.C. 2020: Modeling, post COVID-19. Science 370(6520): 1015
Nadeem, K.; Alliet, M.; Plana, Q.; Bernier, J.; Azimi, S.; Rocher, V.; Albasi, C. 2022: Modeling, simulation and control of biological and chemical P-removal processes for membrane bioreactors (MBRs) from lab to full-scale applications: State of the art. Science of the Total Environment 809: 151109
Kouemou Hatou, C.F.; Tchuen, G.; Woafo, P. 2021: Modeling, simulation and optimization of solid fuel bread ovens commonly used in developing countries. Heliyon 7(2): E06184
Chen, T.; Peng, L.; Yang, J.; Cong, G. 2021: Modeling, simulation, and case analysis of COVID-19 over network public opinion formation with individual internal factors and external information characteristics. Concurrency and Computation: Practice and Experience 33(17): E6201
Tsay, C.; Lejarza, F.; Stadtherr, M.A.; Baldea, M. 2020: Modeling, state estimation, and optimal control for the US COVID-19 outbreak. Scientific Reports 10(1): 10711
Eriksen, E.F.; Chapurlat, R.; Boyce, R.W.; Shi, Y.; Brown, J.P.; Horlait, S.ép.; Betah, D.; Libanati, C.; Chavassieux, P. 2022: Modeling-Based Bone Formation After 2 Months of Romosozumab Treatment: Results from the FRAME Clinical Trial. Journal of Bone and Mineral Research: the Official Journal of the American Society for Bone and Mineral Research 37(1): 36-40
Peng, M.; Siebert, D.L.; Engqvist, M.K.M.; Niemeyer, C.M.; Rabe, K.S. 2022: Modeling-Assisted Design of Thermostable Benzaldehyde Lyases from Rhodococcus erythropolis for Continuous Production of α-Hydroxy Ketones. Chembiochem: a European Journal of Chemical Biology 23(7): E202100468
Lmater, M.A.; Eddabbah, M.; Elmoussaoui, T.; Boussaa, S. 2021: Modelization of Covid-19 pandemic spreading: a machine learning forecasting with relaxation scenarios of countermeasures. Journal of Infection and Public Health 14(4): 468-473
Fourn, L.éo. 2020: Modelization of recommendation framework advice for children immunization to Beninese decision makers. Sante Publique 32(2): 273-278
Fourn, L.éo. 2020: Modelization of recommendation framework advice for children immunization to Beninese decision makers. Sante Publique 32(2-3): 273-278
Bintanja, R.; van de Wal, R.S.W.; Oerlemans, J. 2005: Modelled atmospheric temperatures and global sea levels over the past million years. Nature 437(7055): 125-128
Sandvik, H.; Barrett, R.T.; Erikstad, K.Einar.; Myksvoll, M.S.; Vikebø, F.; Yoccoz, N.G.; Anker-Nilssen, T.; Lorentsen, S-Håkon.; Reiertsen, T.K.; Skarðhamar, J.; Skern-Mauritzen, M.; Systad, G.Helge. 2016: Modelled drift patterns of fish larvae link coastal morphology to seabird colony distribution. Nature Communications 7: 11599
Hoover, C.M.; Sokolow, S.H.; Kemp, J.; Sanchirico, J.N.; Lund, A.J.; Jones, I.J.; Higginson, T.; Riveau, G.; Savaya, A.; Coyle, S.; Wood, C.L.; Micheli, F.; Casagrandi, R.; Mari, L.; Gatto, M.; Rinaldo, A.; Perez-Saez, J.; Rohr, J.R.; Sagi, A.; Remais, J.V.; De Leo, G.A. 2020: Modelled effects of prawn aquaculture on poverty alleviation and schistosomiasis control. Nature Sustainability 2(7): 611-620
McCloskey, G.L.; Baheerathan, R.; Dougall, C.; Ellis, R.; Bennett, F.R.; Waters, D.; Darr, S.; Fentie, B.; Hateley, L.R.; Askildsen, M. 2021: Modelled estimates of dissolved inorganic nitrogen exported to the Great Barrier Reef lagoon. Marine Pollution Bulletin 171: 112655
McCloskey, G.L.; Baheerathan, R.; Dougall, C.; Ellis, R.; Bennett, F.R.; Waters, D.; Darr, S.; Fentie, B.; Hateley, L.R.; Askildsen, M. 2021: Modelled estimates of fine sediment and particulate nutrients delivered from the Great Barrier Reef catchments. Marine Pollution Bulletin 165: 112163
Ogawa, S-Ichiro.; Shimizu, M.; Yamazaki, H. 2020: Modelled plasma concentrations of pemafibrate with co-administered typical cytochrome P450 inhibitors clopidogrel, fluconazole or clarithromycin predicted by physiologically based pharmacokinetic modelling in virtual populations. Xenobiotica; the Fate of Foreign Compounds in Biological Systems 50(12): 1413-1422
Gilbert, N. 2009: Modellers claim wars are predictable. Nature 462(7275): 836
Schiermeier, Q. 2004: Modellers deplore 'short-termism' on climate. Nature 428(6983): 593
Matthews, H.S.; Penington, A.J.; Hardiman, R.; Fan, Y.; Clement, J.G.; Kilpatrick, N.M.; Claes, P.D. 2018: Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences. Scientific Reports 8(1): 4771
John, A.; Aleluia, C.; Van Opstal, A.J.; Bernardino, A. 2021: Modelling 3D saccade generation by feedforward optimal control. Plos Computational Biology 17(5): E1008975
Kersting, A.; Brander, S.; Suckow, A. 2021: Modelling 85Kr datasets with python for applications in tracer hydrology and to investigate atmospheric circulation. Methodsx 8: 101245
De Wael, A.; De Backer, A.; Lobato, I.; Van Aert, S. 2021: Modelling ADF STEM images using elliptical Gaussian peaks and its effects on the quantification of structure parameters in the presence of sample tilt. Ultramicroscopy 230: 113391
Kneller, L.A.; Hempel, G. 2020: Modelling Age-Related Changes in the Pharmacokinetics of Risperidone and 9-Hydroxyrisperidone in Different CYP2D6 Phenotypes Using a Physiologically Based Pharmacokinetic Approach. Pharmaceutical Research 37(6): 110
Jacus, J.-P.; Mayelle, A.; Voltzenlogel, V.; Cuervo-Lombard, C.-V.; Antoine, P. 2020: Modelling Awareness in Alzheimer's Disease. Journal of Alzheimer's Disease: Jad 76(1): 89-95
Nogueira, B.R.F.; Sakomura, N.K.; Reis, M.d.P.; Leme, B.B.; Létourneau-Montminy, M.-P.; Viana, G.d.S. 2021: Modelling Broiler Requirements for Lysine and Arginine. Animals: An Open Access Journal from Mdpi 11(10)
Yirga, A.A.; Melesse, S.F.; Mwambi, H.G.; Ayele, D.G. 2020: Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa. African Health Sciences 20(4): 1546-1561
Vespignani, A.; Tian, H.; Dye, C.; Lloyd-Smith, J.O.; Eggo, R.M.; Shrestha, M.; Scarpino, S.V.; Gutierrez, B.; Kraemer, M.U.G.; Wu, J.; Leung, K.; Leung, G.M. 2020: Modelling COVID-19. Nature Reviews Physics 2020: 1-3
Cont, R.; Kotlicki, A.; Xu, R. 2021: Modelling COVID-19 contagion: risk assessment and targeted mitigation policies. Royal Society Open Science 8(3): 201535
Kemp, F.ço.; Proverbio, D.; Aalto, A.; Mombaerts, L.; Fouquier d'Hérouël, A.; Husch, A.; Ley, C.; Gonçalves, J.; Skupin, A.; Magni, S. 2021: Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden. Journal of Theoretical Biology 530: 110874
Pasaribu, U.S.; Mukhaiyar, U.; Huda, N.M.; Sari, K.N.; Indratno, S.W. 2021: Modelling COVID-19 growth cases of provinces in java Island by modified spatial weight matrix GSTAR through railroad passenger's mobility. Heliyon 7(2): E06025
Aidoo, E.N.; Ampofo, R.T.; Awashie, G.E.; Appiah, S.K.; Adebanji, A.O. 2022: Modelling COVID-19 incidence in the African sub-region using smooth transition autoregressive model. Modeling Earth Systems and Environment 8(1): 961-966
Macdonald, J.C.; Browne, C.; Gulbudak, H. 2021: Modelling COVID-19 outbreaks in USA with distinct testing, lockdown speed and fatigue rates. Royal Society Open Science 8(8): 210227
Frost, I.; Craig, J.; Osena, G.; Hauck, S.; Kalanxhi, E.; Schueller, E.; Gatalo, O.; Yang, Y.; Tseng, K.K.; Lin, G.; Klein, E. 2021: Modelling COVID-19 transmission in Africa: countrywise projections of total and severe infections under different lockdown scenarios. Bmj Open 11(3): E044149
Ying, F.; O'Clery, N. 2021: Modelling COVID-19 transmission in supermarkets using an agent-based model. Plos one 16(4): E0249821
Shah, N.H.; Sheoran, N.; Jayswal, E.; Shukla, D.; Shukla, N.; Shukla, J.; Shah, Y. 2022: Modelling COVID-19 transmission in the United States through interstate and foreign travels and evaluating impact of governmental public health interventions. Journal of Mathematical Analysis and Applications 514(2): 124896
Kulesa, P.M.; Kasemeier-Kulesa, J.C.; Morrison, J.A.; McLennan, R.; McKinney, M.C.; Bailey, C. 2021: Modelling Cell Invasion: a Review of what JD Murray and the Embryo can Teach Us. Bulletin of Mathematical Biology 83(4): 26
Müller, J.S.; Horvath, R. 2021: Modelling Charcot-Marie-Tooth disease in a dish reveals common cell type-specific alterations. Brain: a Journal of Neurology 144(8): 2234-2236
Wang, M.; Flessa, S. 2020: Modelling Covid-19 under uncertainty: what can we expect?. European Journal of Health Economics: Hepac: Health Economics in Prevention and Care 21(5): 665-668
Heo, I.; Dutta, D.; Schaefer, D.A.; Iakobachvili, N.; Artegiani, B.; Sachs, N.; Boonekamp, K.E.; Bowden, G.; Hendrickx, A.P.A.; Willems, R.J.L.; Peters, P.J.; Riggs, M.W.; O'Connor, R.; Clevers, H. 2018: Modelling Cryptosporidium infection in human small intestinal and lung organoids. Nature Microbiology 3(7): 814-823
Sil, A.; Sil, A.; Dhillon, P. 2021: Modelling Determinants of Deaths Attributable to External Causes Among Adults in India. Omega 2021: 302228211009736
Passadore, C.; Möller, L.M.; Diaz-Aguirre, F.; Parra, G.J. 2018: Modelling Dolphin Distribution to Inform Future Spatial Conservation Decisions in a Marine Protected Area. Scientific Reports 8(1): 15659
Takizawa, H.; Hara, Y.; Mizobe, Y.; Ohno, T.; Suzuki, S.; Inoue, K.; Takeshita, E.; Shimizu-Motohashi, Y.; Ishiyama, A.; Hoshino, M.; Komaki, H.; Takeda, S'ichi.; Aoki, Y. 2019: Modelling Duchenne muscular dystrophy in MYOD1-converted urine-derived cells treated with 3-deazaneplanocin A hydrochloride. Scientific Reports 9(1): 3807
Graham, H.A.; Puttock, A.; Macfarlane, W.W.; Wheaton, J.M.; Gilbert, J.T.; Campbell-Palmer, R.ói.ín.; Elliott, M.; Gaywood, M.J.; Anderson, K.; Brazier, R.E. 2020: Modelling Eurasian beaver foraging habitat and dam suitability, for predicting the location and number of dams throughout catchments in Great Britain. European Journal of Wildlife Research 66(3): 42
Otwinowska-Mindur, A.; Ptak, E.; Makulska, J.; Jarnecka, O. 2021: Modelling Extended Lactations in Polish Holstein-Friesian Cows. Animals: An Open Access Journal from Mdpi 11(8)
Liu, G-Hui.; Suzuki, K.; Li, M.; Qu, J.; Montserrat, N.; Tarantino, C.; Gu, Y.; Yi, F.; Xu, X.; Zhang, W.; Ruiz, S.; Plongthongkum, N.; Zhang, K.; Masuda, S.; Nivet, E.; Tsunekawa, Y.; Soligalla, R.Devi.; Goebl, A.; Aizawa, E.; Kim, N.Young.; Kim, J.; Dubova, I.; Li, Y.; Ren, R.; Benner, C.; Del Sol, A.; Bueren, J.; Trujillo, J.Pablo.; Surralles, J.; Cappelli, E.; Dufour, C.; Esteban, C.Rodriguez.; Belmonte, J.Carlos.Izpisua. 2014: Modelling Fanconi anemia pathogenesis and therapeutics using integration-free patient-derived iPSCs. Nature Communications 5: 4330
Palmada, N.; Cater, J.E.; Cheng, L.K.; Suresh, V. 2020: Modelling Flow and Mixing in the Proximal Small Intestine. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020: 2496-2499
Gordon, F.; Elcoroaristizabal, S.; Ryder, A.G. 2021: Modelling Förster resonance energy transfer (FRET) using anisotropy resolved multi-dimensional emission spectroscopy (ARMES). Biochimica et Biophysica Acta. General Subjects 1865(2): 129770
Dessie, Z.G.; Zewotir, T.; Mwambi, H.; North, D. 2020: Modelling HIV disease process and progression in seroconversion among South Africa women: using transition-specific parametric multi-state model. Theoretical Biology and Medical Modelling 17(1): 10
Oliveira, U.; Soares-Filho, B.Silveira.; Santos, A.J.; Paglia, A.Pereira.; Brescovit, A.D.; de Carvalho, C.J.B.; Silva, D.Paiva.; Rezende, D.T.; Leite, F.Sá.Fortes.; Batista, Jão.Aguiar.Nogueira.; Barbosa, Jão.Paulo.Peixoto.Pena.; Stehmann, Jão.Renato.; Ascher, J.S.; Vasconcelos, M.F.; Marco, P.De.; Löwenberg-Neto, P.; Ferro, V.Gianluppi. 2019: Modelling Highly Biodiverse Areas in Brazil. Scientific Reports 9(1): 6355
Helfensdorfer, A.M.; Power, H.E.; Hubble, T.C.T. 2019: Modelling Holocene analogues of coastal plain estuaries reveals the magnitude of sea-level threat. Scientific Reports 9(1): 2667
Menezes, P.D.; Gadegaard, N.; Natal Jorge, R.M.; Pinto, S.ón.I.S. 2021: Modelling human liver microphysiology on a chip through a finite element based design approach. International Journal for Numerical Methods in Biomedical Engineering 37(5): E3445
Pascucci, E.; Pugliese, A. 2021: Modelling Immune Memory Development. Bulletin of Mathematical Biology 83(12): 118
Mariano, V.; Achsel, T.; Bagni, C.; Kanellopoulos, A.K. 2020: Modelling Learning and Memory in Drosophila to Understand Intellectual Disabilities. Neuroscience 445: 12-30
Dance, A. 2020: Modelling Mars in a sandbox. Nature 579(7797): 166
Kennedy, G.; Meyer, D.; Hardman, R.J.; Macpherson, H.; Scholey, A.B.; Pipingas, A. 2020: Modelling Modifiable Predictors of Age-Related Cognitive Decline: Exercise, Aortic Stiffness, and the Importance of Physical Fitness. Journal of Alzheimer's Disease Reports 4(1): 79-89
Gaffney, E.A.; Ishimoto, K.; Walker, B.J. 2021: Modelling Motility: the Mathematics of Spermatozoa. Frontiers in Cell and Developmental Biology 9: 710825
Soucek, L.; Whitfield, J.; Martins, C.P.; Finch, A.J.; Murphy, D.J.; Sodir, N.M.; Karnezis, A.N.; Swigart, L.Brown.; Nasi, S.; Evan, G.I. 2008: Modelling Myc inhibition as a cancer therapy. Nature 455(7213): 679-683
Weber, C. 2018: Modelling PDAC-niche adaption. Nature Cell Biology 20(6): 634
Weiss, M.; Fradkin, I.; Huppert, J.D. 2021: Modelling Pathological Narcissism Using the Brief PNi in Terms of Structure and Convergent and Divergent Validity: a new Perspective. Assessment 28(6): 1520-1530
Gholami Doborjeh, Z.; Kasabov, N.; Gholami Doborjeh, M.; Sumich, A. 2018: Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture. Scientific Reports 8(1): 8912
Lui, G.; Myerscough, M.R. 2021: Modelling Preferential Phagocytosis in Atherosclerosis: Delineating Timescales in Plaque Development. Bulletin of Mathematical Biology 83(9): 96
Goscé, L.; Phillips, P.A.; Spinola, P.; Gupta, D.R.K.; Abubakar, P.I. 2020: Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown. Journal of Infection 81(2): 260-265
Cannistraci, C.Vittorio. 2018: Modelling Self-Organization in Complex Networks Via a Brain-Inspired Network Automata Theory Improves Link Reliability in Protein Interactomes. Scientific Reports 8(1): 15760
Chung, N.N.; Chew, L.Y. 2021: Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model. Scientific Reports 11(1): 10122
Ulubaş Hamurcu, A.ı; Terzi, F. 2021: Modelling Socio-Spatial Change: Istanbul, Kadıköy Case. Social Indicators Research 158(2): 439-457
Small, M.; Cavanagh, D. 2020: Modelling Strong Control Measures for Epidemic Propagation with Networks-A COVID-19 Case Study. IEEE Access: Practical Innovations Open Solutions 8: 109719-109731
Jacob, J.; Baltimore, D. 1999: Modelling T-cell memory by genetic marking of memory T cells in vivo. Nature 399(6736): 593-597
Delaine-Smith, R.M.; Maniati, E.; Malacrida, B.; Nichols, S.; Roozitalab, R.; Jones, R.R.; Lecker, L.S.M.; Pearce, O.M.T.; Knight, M.M.; Balkwill, F.R. 2021: Modelling TGFβR and Hh pathway regulation of prognostic matrisome molecules in ovarian cancer. Iscience 24(6): 102674
M'Hamdi, N.; Darej, C.; Attia, K.; El Akram Znaidi, I.; Khattab, R.; Djelailia, H.; Bouraoui, R.; Taboubi, R.; Marzouki, L.; Ayadi, M. 2021: Modelling THi effects on milk production and lactation curve parameters of Holstein dairy cows. Journal of Thermal Biology 99: 102917
Ristori, T.; Notermans, T.M.W.; Foolen, J.; Kurniawan, N.A.; Bouten, C.V.C.; Baaijens, F.P.T.; Loerakker, S. 2018: Modelling The Combined Effects Of Collagen and Cyclic Strain On Cellular Orientation In Collagenous Tissues. Scientific Reports 8(1): 8518
Kawatou, M.; Masumoto, H.; Fukushima, H.; Morinaga, G.; Sakata, R.; Ashihara, T.; Yamashita, J.K. 2017: Modelling Torsade de Pointes arrhythmias in vitro in 3D human iPS cell-engineered heart tissue. Nature Communications 8(1): 1078
Seo, H-Hee.; Han, H-Won.; Lee, S-Eun.; Hong, S-Hee.; Cho, S-Hyeong.; Kim, S.Cheol.; Koo, S.Kyung.; Kim, J-Hyun. 2020: Modelling Toxoplasma gondii infection in human cerebral organoids. Emerging Microbes and Infections 9(1): 1943-1954
Pollard, D.; DeConto, R.M. 2009: Modelling West Antarctic ice sheet growth and collapse through the past five million years. Nature 458(7236): 329-332
Vogels, C.B.F.; Hartemink, N.; Koenraadt, C.J.M. 2017: Modelling West Nile virus transmission risk in Europe: effect of temperature and mosquito biotypes on the basic reproduction number. Scientific Reports 7(1): 5022
Parente, F.; Colosimo, A. 2021: Modelling a multiplex brain network by local transfer entropy. Scientific Reports 11(1): 15525
Gatenby, R.A.; Maini, P. 2002: Modelling a new angle on understanding cancer. Nature 420(6915): 462
Prats, E.; Gómez-Canela, C.; Ben-Lulu, S.; Ziv, T.; Padrós, F.; Tornero, D.; Garcia-Reyero, Nàlia.; Tauler, Rà.; Admon, A.; Raldúa, D. 2017: Modelling acrylamide acute neurotoxicity in zebrafish larvae. Scientific Reports 7(1): 13952
Jiang, R.; He, W.; He, L.; Yang, J.Y.; Qian, B.; Zhou, W.; He, P. 2021: Modelling adaptation strategies to reduce adverse impacts of climate change on maize cropping system in Northeast China. Scientific Reports 11(1): 810
Vuorinen, V.; Aarnio, M.; Alava, M.; Alopaeus, V.; Atanasova, N.; Auvinen, M.; Balasubramanian, N.; Bordbar, H.; Erästö, P.; Grande, R.; Hayward, N.; Hellsten, A.; Hostikka, S.; Hokkanen, J.; Kaario, O.; Karvinen, A.; Kivistö, I.; Korhonen, M.; Kosonen, R.; Kuusela, J.; Lestinen, S.; Laurila, E.; Nieminen, H.J.; Peltonen, P.; Pokki, J.; Puisto, A.; Råback, P.; Salmenjoki, H.; Sironen, T.; Österberg, M. 2020: Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors. Safety Science 130: 104866
Perpiña Castillo, C.; Jacobs-Crisioni, C.; Diogo, V.; Lavalle, C. 2021: Modelling agricultural land abandonment in a fine spatial resolution multi-level land-use model: An application for the EU. Environmental Modelling and Software: with Environment Data News 136: 104946
Huber, C.; Watts, A.; Grills, A.; Yong, J.Hai.Ein.; Morrison, S.; Bowden, S.; Tuite, A.; Nelson, B.; Cetron, M.; Khan, K. 2021: Modelling airport catchment areas to anticipate the spread of infectious diseases across land and air travel. SpatialandSpatio-TemporalEpidemiology 36: 100380
De Bel, V.; Snijders, T.A.B.; Widmer, E.D. 2021: Modelling ambivalent triads in family research. Social Science Research 98: 102577
Kajita, E.; Okano, J.T.; Bodine, E.N.; Layne, S.P.; Blower, S. 2007: Modelling an outbreak of an emerging pathogen. Nature Reviews. Microbiology 5(9): 700-709
Saravanan, A.; Kumar, P.S.; Jeevanantham, S.; Karishma, S.; Yaashikaa, P.R. 2021: Modeling analysis on the effective elimination of toxic pollutant from aquatic environment using pyrolysis assisted palmyra palm male inflorescence. Environmental Research 197: 111146
Feng, X.; Huo, X.; Tang, B.; Tang, S.; Wang, K.; Wu, J. 2019: Modelling and Analyzing Virus Mutation Dynamics of Chikungunya Outbreaks. Scientific Reports 9(1): 2860
Tuan, H.M.; Sanfilippo, F.; Hao, N.V. 2021: Modelling and Control of a 2-DOF Robot Arm with Elastic Joints for Safe Human-Robot Interaction. Frontiers in Robotics and Ai 8: 679304
Panda, D.; Kumari, R.; Pradhan, A. 2021: Modelling and Evolution of Conducting Filament in TiOx Memristor Using Conducting Atomic Force Microscopy. Journal of Nanoscience and Nanotechnology 21(3): 1590-1597
Ekinci, A. 2021: Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect. Chaos Solitons and Fractals 151: 111227
Sonmez, B.Gurkan.; Ertop, O.; Mutlu, S. 2017: Modelling and Realization of a Water-Gated Field Effect Transistor (WG-FET) Using 16-nm-Thick Mono-Si Film. Scientific Reports 7(1): 12190
Kazantsev, I.G.; Matej, S.; Lewitt, R.M.; Olsen, U.L.; Poulsen, H.F.; Yarovenko, I.P.; Prokhorov, I.V. 2020: Modelling and Simulation of Compton Scatter Image Formation in Positron Emission Tomography. Journal of Inverse and Ill-Posed Problems 28(6): 923-932
Chen, M.; Liu, H.; Yan, F. 2020: Modelling and analysing biological oscillations in quorum sensing networks. Iet Systems Biology 14(4): 190-199
Bhadauria, A.S.; Devi, S.; Gupta, N. 2022: Modelling and analysis of a SEIQR model on COVID-19 pandemic with delay. Modeling Earth Systems and Environment 8(3): 3201-3214
Karlebach, G.; Shamir, R. 2008: Modelling and analysis of gene regulatory networks. Nature Reviews. Molecular Cell Biology 9(10): 770-780
Einevoll, G.T.; Kayser, C.; Logothetis, N.K.; Panzeri, S. 2013: Modelling and analysis of local field potentials for studying the function of cortical circuits. Nature Reviews. Neuroscience 14(11): 770-785
Wang, L.P.; Wang, J.; Zhao, H.Y.; Shi, Y.Y.; Wang, K.; Wu, P.; Shi, L. 2020: Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China. Mathematical Biosciences and Engineering: Mbe 17(4): 2936-2949
Li, M.; Kitzler, O.; Mildren, R.P.; Spence, D.J. 2021: Modelling and characterisation of continuous wave resonantly pumped diamond Raman lasers. Optics Express 29(12): 18427-18436
Mandal, M.; Jana, S.; Nandi, S.K.; Kar, T.K. 2020: Modelling and control of a fractional-order epidemic model with fear effect. Energy Ecology and Environment 5(6): 421-432
Blagojev, N.; Vasić, V.; Kukić, D.; Šćiban, M.; Prodanović, J.; Bera, O. 2021: Modelling and efficiency evaluation of the continuous biosorption of Cu(II) and Cr(VI) from water by agricultural waste materials. Journal of Environmental Management 281: 111876
Liu, J.; Mehdi, S.; Topping, J.; Tarkowski, P.; Lindsey, K. 2010: Modelling and experimental analysis of hormonal crosstalk in Arabidopsis. Molecular Systems Biology 6: 373
De Priall, O.ín.; Gogulancea, V.; Brandoni, C.; Hewitt, N.; Johnston, C.; Onofrei, G.; Huang, Y. 2021: Modelling and experimental investigation of small-scale gasification CHP units for enhancing the use of local biowaste. Waste Management 136: 174-183
Weng, Z.; Gillin, W.P.; Kreouzis, T. 2019: Modelling and fitting the Polaron Pair Magnetoconductance model to obtain a realistic local hyperfine field in Tris-(8-hydroxyquinoline)aluminium based diodes. Scientific Reports 9(1): 3439
Lisi, E.; Malekzadeh, M.; Haddadi, H.; Lau, F.D.-H.; Flaxman, S. 2020: Modelling and forecasting art movements with CGANs. Royal Society Open Science 7(4): 191569
Hazarika, B.B.; Gupta, D. 2020: Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. Applied Soft Computing 96: 106626
Liu, S.; Yin, C.; Chen, D.; Ni, S. 2020: Modelling and impact analysis of interdependent characteristics on cascading overload failure of syncretic railway networks. Plos one 15(9): E0239096
Soliman, M.; Mousa, M.A.; Saleh, M.A.; Elsamanty, M.; Radwan, A.G. 2021: Modelling and implementation of soft bio-mimetic turtle using echo state network and soft pneumatic actuators. Scientific Reports 11(1): 12076
Iulietto, M.F.; Evers, E.G. 2020: Modelling and magnitude estimation of cross-contamination in the kitchen for quantitative microbiological risk assessment (QMRA). Efsa Journal. European Food Safety Authority 18(Suppl 1): E181106
Kwon, J.; Choi, J.; Lee, S.; Kim, M.; Park, Y.Kyung.; Park, D.Hyun.; Kim, N. 2020: Modelling and manufacturing of 3D-printed, patient-specific, and anthropomorphic gastric phantoms: a pilot study. Scientific Reports 10(1): 18976
Labib, S.M.; Huck, J.J.; Lindley, S. 2021: Modelling and mapping eye-level greenness visibility exposure using multi-source data at high spatial resolutions. Science of the Total Environment 755(Part 1): 143050
Georganos, S.; Brousse, O.; Dujardin, S.éb.; Linard, C.; Casey, D.; Milliones, M.; Parmentier, B.; van Lipzig, N.P.M.; Demuzere, M.; Grippa, T.; Vanhuysse, S.; Mboga, N.; Andreo, V.ón.; Snow, R.W.; Lennert, M. 2020: Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators. International Journal of Health Geographics 19(1): 38
Aytac-Kipergil, E.; Desjardins, A.E.; Treeby, B.E.; Noimark, S.; Parkin, I.P.; Alles, E.J. 2021: Modelling and measurement of laser-generated focused ultrasound: can interventional transducers achieve therapeutic effects?. Journal of the Acoustical Society of America 149(4): 2732
De Vido, M.; Mason, P.D.; Fitton, M.; Eardley, R.W.; Quinn, G.; Clarke, D.; Ertel, K.; Butcher, T.J.; Jonathan Phillips, P.; Banerjee, S.; Smith, J.; Spear, J.; Edwards, C.; Collier, J.L. 2021: Modelling and measurement of thermal stress-induced depolarisation in high energy, high repetition rate diode-pumped Yb:YAG lasers. Optics Express 29(4): 5607-5623
Shi, Q-Hong.; Shabbir, T.; Mushtaq, M.; Khan, M.Ijaz.; Shah, Z.; Kumam, P. 2021: Modelling and numerical computation for flow of micropolar fluid towards an exponential curved surface: a Keller box method. Scientific Reports 11(1): 16351
Arruda, E.F.; Das, S.S.; Dias, C.M.; Pastore, D.H. 2021: Modelling and optimal control of multi strain epidemics, with application to COVID-19. Plos one 16(9): E0257512
Rajković, K.M.; Dabić-Stanković, K.; Stanković, J.; Aćimović, M.; Đukanović, N.; Nikolin, B. 2020: Modelling and optimisation of treatment parameters in high-dose-rate mono brachytherapy for localised prostate carcinoma using a multilayer artificial neural network and a genetic algorithm: Pilot study. Computers in Biology and Medicine 126: 104045
Baruah, J.; Chaliha, C.; Kalita, E.; Nath, B.K.; Field, R.A.; Deb, P. 2020: Modelling and optimization of factors influencing adsorptive performance of agrowaste-derived Nanocellulose Iron Oxide Nanobiocomposites during remediation of Arsenic contaminated groundwater. International Journal of Biological Macromolecules 164: 53-65
Rzig, B.; Guesmi, F.; Sillanpää, M.; Hamrouni, B.éc. 2021: Modelling and optimization of hexavalent chromium removal from aqueous solution by adsorption on low-cost agricultural waste biomass using response surface methodological approach. Water Science and Technology: a Journal of the International Association on Water Pollution Research 84(3): 552-575
Liu, J.; Bi, J.; Liu, X.; Liu, D.; Verkerk, R.; Dekker, M.; Lyu, J.; Wu, X. 2022: Modelling and optimization of high-pressure homogenization of not-from-concentrate juice: Achieving better juice quality using sustainable production. Food Chemistry 370: 131058
Arora, S.; Gurditta, H.; Patel, A.A.; Yadav, U.; Singh, R.R.B.; Rekha 2021: Modelling and optimization of process parameters for production of desiccated Chhana-murki (Indian cottage cheese-based dessert). Journal of Food Science and Technology 58(9): 3388-3396
Da Ros, S.í; Curran, K. 2021: Modelling and parameter estimation of diethyl phthalate partitioning behaviour on glass and aluminum surfaces. Chemosphere 285: 131414
Parino, F.; Zino, L.; Porfiri, M.; Rizzo, A. 2021: Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading. Journal of the Royal Society Interface 18(175): 20200875
Sartorius, B.; Lawson, A.B.; Pullan, R.L. 2021: Modelling and predicting the spatio-temporal spread of COVID-19, associated deaths and impact of key risk factors in England. Scientific Reports 11(1): 5378
Giuliani, D.; Dickson, M.M.; Espa, G.; Santi, F. 2020: Modelling and predicting the spatio-temporal spread of cOVID-19 in Italy. Bmc Infectious Diseases 20(1): 700
Yakovyna, V.; Shakhovska, N. 2021: Modelling and predicting the spread of COVID-19 cases depending on restriction policy based on mined recommendation rules. Mathematical Biosciences and Engineering: Mbe 18(3): 2789-2812
Wang, Y.; Wang, J. 2020: Modelling and prediction of global non-communicable diseases. Bmc Public Health 20(1): 822
Vinoth Arul Raj, J.; Praveen Kumar, R.; Vijayakumar, B.; Gnansounou, E.; Bharathiraja, B. 2021: Modelling and process optimization for biodiesel production from Nannochloropsis salina using artificial neural network. Bioresource Technology 329: 124872
Pudjiastuti, L.; Widjaja, T.; Iskandar, K.K.; Sahid, F.; Nurkhamidah, S.; Altway, A.; Putra, A.P. 2021: Modelling and simulation of multicomponent acetone-butanol-ethanol distillation process in a sieve tray column. Heliyon 7(4): E06641
Schütt, M.; Stamatopoulos, K.; Simmons, M.J.H.; Batchelor, H.K.; Alexiadis, A. 2020: Modelling and simulation of the hydrodynamics and mixing profiles in the human proximal colon using Discrete Multiphysics. Computers in Biology and Medicine 121: 103819
Malik, H.; Sarkar, S.; Mohanty, S.; Carlson, K. 2020: Modelling and synthesis of Magnéli Phases in ordered titanium oxide nanotubes with preserved morphology. Scientific Reports 10(1): 8050
Wilson, A.G. 1968: Modelling and systems analysis in urban planning. Nature 220(5171): 963-966
Amador, A.; Bostick, C.D.; Olson, H.; Peters, J.; Camp, C.R.; Krizay, D.; Chen, W.; Han, W.; Tang, W.; Kanber, A.; Kim, S.; Teoh, J.; Sah, M.; Petri, S.; Paek, H.; Kim, A.; Lutz, C.M.; Yang, M.; Myers, S.J.; Bhattacharya, S.; Yuan, H.; Goldstein, D.B.; Poduri, A.; Boland, M.J.; Traynelis, S.F.; Frankel, W.N. 2020: Modelling and treating GRIN2A developmental and epileptic encephalopathy in mice. Brain: a Journal of Neurology 143(7): 2039-2057
Guerra-Coss, F.A.; Badano, E.I.; Cedillo-Rodríguez, I.E.; Ramírez-Albores, J.E.; Flores, J.; Barragán-Torres, F.; Flores-Cano, J.A. 2021: Modelling and validation of the spatial distribution of suitable habitats for the recruitment of invasive plants on climate change scenarios: An approach from the regeneration niche. Science of the Total Environment 777: 146007
Kumar, M.; Ji, B.; Zengler, K.; Nielsen, J. 2019: Modelling approaches for studying the microbiome. Nature Microbiology 4(8): 1253-1267
Anstöter, C.S.; Gibson, C.M.; Fowler, P.W. 2020: Modelling aromatisation of (BN) n H 2n azabora-annulenes. Physical Chemistry Chemical Physics: Pccp 22(28): 15919-15925
Steel, M. 2021: Modelling aspects of consciousness: a topological perspective. Journal of Theoretical Biology 523: 110713
Prata, A.A.; Santos, J.M.; Timchenko, V.; Stuetz, R.M. 2021: Modelling atmospheric emissions from wastewater treatment plants: Implications of land-to-water roughness change. Science of the Total Environment 792: 148330
Jayathilake, P.Gedara.; Li, B.; Zuliani, P.; Curtis, T.; Chen, J. 2019: Modelling bacterial twitching in fluid flows: a CFD-DEM approach. Scientific Reports 9(1): 14540
Chauhan, T.; Héjja-Brichard, Y.; Cottereau, B.R. 2020: Modelling binocular disparity processing from statistics in natural scenes. Vision Research 176: 27-39
Mayer, P. 2020: Modelling bioactivities of combinations of whole extracts of edibles with a simplified theoretical framework reveals the statistical role of molecular diversity and system complexity in their mode of action and their nearly certain safety. Plos one 15(9): E0239841
Bodo, E. 2021: Modelling biocompatible ionic liquids based on organic acids and amino acids: challenges for computational models and future perspectives. Organic and Biomolecular Chemistry 19(18): 4002-4013
Taha, A.; Patón, M.; Ahmad, F.; Rodríguez, J. 2022: Modelling bioelectrochemical denitrification in absence of electron donors for groundwater treatment. Chemosphere 286(Part 3): 131850
Cao, W.; Zheng, D.; Wang, G.; Zhang, J.; Ge, S.; Singh, M.; Wang, H.; Song, M.; Li, D.; Wang, W.; Xu, X.; Wang, Y. 2020: Modelling biological age based on plasma peptides in Han Chinese adults. Aging 12(11): 10676-10686
Lavaud, R.; Guyondet, T.; Filgueira, R.ón.; Tremblay, R.éj.; Comeau, L.A. 2020: Modelling bivalve culture - Eutrophication interactions in shallow coastal ecosystems. Marine Pollution Bulletin 157: 111282
Duarte de Paula Costa, M.; Lovelock, C.E.; Waltham, N.J.; Moritsch, M.M.; Butler, D.; Power, T.; Thomas, E.; Macreadie, P.I. 2022: Modelling blue carbon farming opportunities at different spatial scales. Journal of Environmental Management 301: 113813
Abdrakhmanov, S.K.; Beisembayev, K.K.; Sultanov, A.A.; Mukhanbetkaliyev, Y.Y.; Kadyrov, A.S.; Ussenbayev, A.Y.; Zhakenova, A.Y.; Torgerson, P.R. 2021: Modelling bluetongue risk in Kazakhstan. Parasites and Vectors 14(1): 491
Turner, J.; Bowers, R.G.; Baylis, M. 2012: Modelling bluetongue virus transmission between farms using animal and vector movements. Scientific Reports 2: 319
Masi, M.; Nissim, W.G.; Pandolfi, C.; Azzarello, E.; Mancuso, S. 2022: Modelling botanical biofiltration of indoor air streams contaminated by volatile organic compounds. Journal of Hazardous Materials 422: 126875
Watase, K.; Zoghbi, H.Y. 2003: Modelling brain diseases in mice: the challenges of design and analysis. Nature Reviews. Genetics 4(4): 296-307
Lin, C.; Huang, Y.; Quan, T.; Zhang, Y. 2018: Modelling brain-wide neuronal morphology via rooted Cayley trees. Scientific Reports 8(1): 15666
Yadav, A.K.; Velaga, N.R. 2021: Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models. Accident; Analysis and Prevention 157: 106169
Vargo-Gogola, T.; Rosen, J.M. 2007: Modelling breast cancer: one size does not fit all. Nature Reviews. Cancer 7(9): 659-672
Rose, S.J.; Hatfield, P.W.; Scott, R.H.H. 2020: Modelling burning thermonuclear plasma. Philosophical Transactions. Series a Mathematical Physical and Engineering Sciences 378(2184): 20200014
Samerei, S.Alireza.; Aghabayk, K.; Shiwakoti, N.; Karimi, S. 2021: Modelling bus-pedestrian crash severity in the state of Victoria, Australia. International Journal of Injury Control and Safety Promotion 2021: 1-19
Khavari, P.A. 2006: Modelling cancer in human skin tissue. Nature Reviews. Cancer 6(4): 270-280
Sontheimer-Phelps, A.; Hassell, B.A.; Ingber, D.E. 2019: Modelling cancer in microfluidic human organs-on-chips. Nature Reviews. Cancer 19(2): 65-81
Cohen, B. 1999: Modelling cancer in the mouse. Nature Genetics 21(3): 249-251
Hao, Y.; Jia, L.; Wang, Y.; He, Z. 2021: Modelling cascading failures in networks with the harmonic closeness. Plos one 16(1): E0243801
Hegarty-Cremer, S.G.D.; Simpson, M.J.; Andersen, T.L.; Buenzli, P.R. 2021: Modelling cell guidance and curvature control in evolving biological tissues. Journal of Theoretical Biology 520: 110658
Balzano, G.; Guarneri, G.; Pecorelli, N.; Paiella, S.; Rancoita, P.M.V.; Bassi, C.; Falconi, M. 2020: Modelling centralization of pancreatic surgery in a nationwide analysis. British Journal of Surgery 107(11): 1510-1519
Gianotti, L. 2020: Modelling centralization of pancreatic surgery: some additional considerations. British Journal of Surgery 107(13): E670
Crouse, J.J.; Chitty, K.M.; White, D.; Lee, R.S.C.; Moustafa, A.A.; Naismith, S.L.; Scott, J.; Hermens, D.F.; Hickie, I.B. 2020: Modelling change in neurocognition, symptoms and functioning in young people with emerging mental disorders. Journal of Psychiatric Research 131: 22-30
Kelly, R.A.; Leedale, J.; Calleja, D.; Enoch, S.J.; Harrell, A.; Chadwick, A.E.; Webb, S. 2019: Modelling changes in glutathione homeostasis as a function of quinone redox metabolism. Scientific Reports 9(1): 6333
Gustafson, J.A.; Pourzal, R.; Levine, B.R.; Jacobs, J.J.; Lundberg, H.J. 2020: Modelling changes in modular taper micromechanics due to surgeon assembly technique in total hip arthroplasty. Bone and Joint Journal 102-B(7_Supple_b): 33-40
Ibeji, J.U.; Zewotir, T.; North, D.; Amusa, L. 2021: Modelling children ever born using performance evaluation metrics: a dataset. Data in Brief 36: 107077
Seiler, J.; Harttgen, K.; Kneib, T.; Lang, S. 2021: Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa. Economics and Human Biology 40: 100950
Moonga, G.; Böse-O'Reilly, S.; Berger, U.; Harttgen, K.; Michelo, C.; Nowak, D.; Siebert, U.; Yabe, J.; Seiler, J. 2021: Modelling chronic malnutrition in Zambia: a Bayesian distributional regression approach. Plos one 16(8): E0255073
Le, T.T.Y.; Nachev, M.; Grabner, D.; Garcia, M.R.; Balsa-Canto, E.; Hendriks, A.J.; Peijnenburg, W.J.G.M.; Sures, B. 2021: Modelling chronic toxicokinetics and toxicodynamics of copper in mussels considering ionoregulatory homeostasis and oxidative stress. Environmental Pollution 287: 117645
Lancaster, G.; Suprunenko, Y.F.; Jenkins, K.; Stefanovska, A. 2016: Modelling chronotaxicity of cellular energy metabolism to facilitate the identification of altered metabolic states. Scientific Reports 6: 29584
Rodrigues, M.ón.; Santana, P.; Rocha, A. 2020: Modelling climate change impacts on attributable-related deaths and demographic changes in the largest metropolitan area in Portugal: a time-series analysis. Environmental Research 190: 109998
Berberoglu, S.; Donmez, C.; Cilek, A. 2021: Modelling climate change impacts on regional net primary productivity in Turkey. Environmental Monitoring and Assessment 193(5): 242
Lalli, A.; Slabbert, W.; Killick, Z.J.; Quartey, E.; Marsden, P.; Mumford, F.; Jones, J. 2019: Modelling clinical decision-making in triage of referrals for extraction. British Dental Journal 226(1): 62-66
Yang, J.; Xiao, L.; Li, K. 2020: Modelling clinical experience data as an evidence for patient-oriented decision support. Bmc Medical Informatics and Decision Making 20(Suppl 3): 138
Cinar, E.; Yalcin-Cakmakli, G.; Saka, E.; Ulusoy, A.; Yuruker, S.; Elibol, B.; Tel, B.C. 2020: Modelling cognitive deficits in Parkinson's disease: Is CA2 a gateway for hippocampal synucleinopathy?. Experimental Neurology 330: 113357
Gram, L.; Granados, R.; Krockow, E.M.; Daruwalla, N.; Osrin, D. 2021: Modelling collective action to change social norms around domestic violence: social dilemmas and the role of altruism. Humanities and Social Sciences Communications 8: 53
Nava-Sedeño, J.é M.; Voß-Böhme, A.; Hatzikirou, H.; Deutsch, A.; Peruani, F. 2020: Modelling collective cell motion: are on- and off-lattice models equivalent?. Philosophical Transactions of the Royal Society of London. Series B Biological Sciences 375(1807): 20190378
Menon, G.; Okeke, C.; Krishnan, J. 2017: Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways. Scientific Reports 7(1): 12057
Alibrahim, A.; Wu, S. 2019: Modelling competition in health care markets as a complex adaptive system: an agent-based framework. Health Systems 9(3): 212-225
Gogo, J.A.; Atitwa, B.E.; Gitonga, C.N.; Mugo, D.M. 2021: Modelling conditions of storing quality commercial eggs. Heliyon 7(8): E07868
Teruel, N.ál.; Mailhot, O.; Najmanovich, R.J. 2021: Modelling conformational state dynamics and its role on infection for SARS-CoV-2 Spike protein variants. Plos Computational Biology 17(8): E1009286
Soares-Filho, B.Silveira.; Nepstad, D.Curtis.; Curran, L.M.; Cerqueira, G.Coutinho.; Garcia, R.Alexandrino.; Ramos, C.Azevedo.; Voll, E.; McDonald, A.; Lefebvre, P.; Schlesinger, P. 2006: Modelling conservation in the Amazon basin. Nature 440(7083): 520-523
Garg, A.; Reddy, N.Gangadhara.; Huang, H.; Buragohain, P.; Kushvaha, V. 2020: Modelling contaminant transport in fly ash-bentonite composite landfill liner: mechanism of different types of ions. Scientific Reports 10(1): 11330
Sutmoller, P. 2001: Modelling control strategies for foot-and-mouth disease. Veterinary Record 149(8): 250
Wood, K. 2001: Modelling control strategies for foot-and-mouth disease. Veterinary Record 149(8): 251
Davies, G. 2001: Modelling control strategies for foot-and-mouth disease. Veterinary Record 149(9): 280
Creek, M. 2001: Modelling control strategies for foot-and-mouth disease. Veterinary Record 149(10): 311
Fletcher, J. 2001: Modelling control strategies for foot-and-mouth disease. Veterinary Record 149(11): 339
Morling, K.; Fuchs, S. 2021: Modelling copper emissions from antifouling paints applied on leisure boats into German water bodies. Environmental Pollution 289: 117961
Le, T.T.Y.; Grabner, D.; Nachev, M.; Peijnenburg, W.J.G.M.; Hendriks, A.J.; Sures, B. 2021: Modelling copper toxicokinetics in the zebra mussel, Dreissena polymorpha, under chronic exposures at various pH and sodium concentrations. Chemosphere 267: 129278
Castillo-Laborde, C.; Gajardo, P.; Nájera-De Ferrari, M.; Matute, I.; Hirmas-Adauy, M.; Aguirre, P.; Ramírez, H.éc.; Ramírez, D.; Aguilera, X. 2021: Modelling cost-effectiveness of syphilis detection strategies in prisoners: exploratory exercise in a Chilean male prison. Cost Effectiveness and Resource Allocation: C/E 19(1): 5
Nicholls, R.A.; Joosten, R.P.; Long, F.; Wojdyr, M.; Lebedev, A.; Krissinel, E.; Catapano, L.; Fischer, M.; Emsley, P.; Murshudov, G.N. 2021: Modelling covalent linkages in CCP4. Acta Crystallographica. Section D Structural Biology 77(Part 6): 712-726
Jansson, F.; Aguilar, E.; Acerbi, A.; Enquist, M. 2021: Modelling cultural systems and selective filters. Philosophical Transactions of the Royal Society of London. Series B Biological Sciences 376(1828): 20200045
Lee, O.; Rasch, A.; Schwab, A.L.; Dozza, M. 2020: Modelling cyclists' comfort zones from obstacle avoidance manoeuvres. Accident; Analysis and Prevention 144: 105609
Rueangkham, N.; Estabrook, I.D.; Hawkins, R.J. 2020: Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites. Royal Society Open Science 7(8): 200527
Pouzol, T.; Lévi, Y.; Bertrand-Krajewski, J.-L. 2020: Modelling daily and hourly loads of pharmaceuticals in urban wastewater. International Journal of Hygiene and Environmental Health 229: 113552
Swedlow, J.R.; Lewis, S.E.; Goldberg, I.G. 2006: Modelling data across labs, genomes, space and time. Nature Cell Biology 8(11): 1190-1194
Corlett, P.R.; Fletcher, P. 2021: Modelling delusions as temporally-evolving beliefs. Cognitive Neuropsychiatry 2021: 1-11
Boahen, F.; Doyon, N. 2020: Modelling dendritic spines with the finite element method, investigating the impact of geometry on electric and calcic responses. Journal of Mathematical Biology 81(2): 517-547
Azushima, K.; Gurley, S.B.; Coffman, T.M. 2018: Modelling diabetic nephropathy in mice. Nature Reviews. Nephrology 14(1): 48-56
Morizane, R. 2019: Modelling diabetic vasculopathy with human vessel organoids. Nature Reviews. Nephrology 15(5): 258-260
Boda, C.-N.; Dozza, M.; Puente Guillen, P.; Thalya, P.; Jaber, L.; Lubbe, N. 2020: Modelling discomfort: how do drivers feel when cyclists cross their path?. Accident; Analysis and Prevention 146: 105550
Eubank, S.; Guclu, H.; Kumar, V.S.Anil.; Marathe, M.V.; Srinivasan, A.; Toroczkai, Zán.; Wang, N. 2004: Modelling disease outbreaks in realistic urban social networks. Nature 429(6988): 180-184
Di Battista, A.; Nicolaides, C.; Georgiou, O. 2021: Modelling disease transmission from touchscreen user interfaces. Royal Society Open Science 8(7): 210625
Kobayashi, N.R.; Sui, L.; Tan, P.S.L.; Lim, E.K.H.; Chan, J.; Choolani, M.; Crook, J.M. 2010: Modelling disrupted-in-schizophrenia 1 loss of function in human neural progenitor cells: tools for molecular studies of human neurodevelopment and neuropsychiatric disorders. Molecular Psychiatry 15(7): 672-675
Yang, B.; Borgert, B.A.; Alto, B.W.; Boohene, C.K.; Brew, J.; Deutsch, K.; DeValerio, J.T.; Dinglasan, R.R.; Dixon, D.; Faella, J.M.; Fisher-Grainger, S.L.; Glass, G.E.; Hayes, R.; Hoel, D.F.; Horton, A.; Janusauskaite, A.; Kellner, B.; Kraemer, M.U.G.; Lucas, K.J.; Medina, J.; Morreale, R.; Petrie, W.; Reiner, R.C.; Riles, M.T.; Salje, H.; Smith, D.L.; Smith, J.P.; Solis, A.; Stuck, J.; Vasquez, C.; Williams, K.F.; Xue, R.-D.; Cummings, D.A.T. 2021: Modelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition. Plos Neglected Tropical Diseases 15(3): E0009063
Moll, S.; López, G.; Rasch, A.; Dozza, M.; García, A. 2021: Modelling duration of car-bicycles overtaking manoeuvres on two-lane rural roads using naturalistic data. Accident; Analysis and Prevention 160: 106317
Millington, R.; Cox, P.M.; Moore, J.R.; Yvon-Durocher, G. 2019: Modelling ecosystem adaptation and dangerous rates of global warming. Emerging Topics in Life Sciences 3(2): 221-231
Giralt Paradell, O.; Methion, S.év.; Rogan, E.; Díaz López, B. 2021: Modelling ecosystem dynamics to assess the effect of coastal fisheries on cetacean species. Journal of Environmental Management 285: 112175
Yao, H.; Hsieh, Y-Ping.; Kong, J.; Hofmann, M. 2020: Modelling electrical conduction in nanostructure assemblies through complex networks. Nature Materials 19(7): 745-751
Zhang, L.; Cai, J.; Chen, Y.; Huang, J. 2021: Modelling electrocatalytic reactions with a concerted treatment of multistep electron transfer kinetics and local reaction conditions. Journal of Physics. Condensed Matter: An Institute of Physics Journal 33(50)
Giordanelli, I.; Mendoza, M.; Herrmann, H.Jürgen. 2018: Modelling electron-phonon interactions in graphene with curved space hydrodynamics. Scientific Reports 8(1): 12545
Zvimba, J.N.; Musvoto, E.V. 2020: Modelling energy efficiency and generation potential in the South African wastewater services sector. Water Science and Technology: a Journal of the International Association on Water Pollution Research 81(5): 876-890
Bertram, D.F.; Wilson, L.; Charleton, K.; Hedd, A.; Robertson, G.J.; Smith, J.L.; Morgan, K.H.; Song, X.J. 2021: Modelling entanglement rates to estimate mortality of marine birds in British Columbia commercial salmon gillnet fisheries. Marine Environmental Research 166: 105268
Pérez-López, G.; Prior, D.; Zafra-Gómez, J.é L. 2021: Modelling environmental constraints on the efficiency of management forms for public service delivery. Waste Management 126: 443-453
Kosztołowicz, T.; Metzler, R.; Wa Sik, S.ła.; Arabski, M.ł 2020: Modelling experimentally measured of ciprofloxacin antibiotic diffusion in Pseudomonas aeruginosa biofilm formed in artificial sputum medium. Plos one 15(12): E0243003
Whitaker, H.; Best, N.; Nieuwenhuijsen, M.J.; Wakefield, J.; Fawell, J.; Elliott, P. 2005: Modelling exposure to disinfection by-products in drinking water for an epidemiological study of adverse birth outcomes. Journal of Exposure Analysis and Environmental Epidemiology 15(2): 138-146
Storck, T.; Virdis, B.; Batstone, D.J. 2016: Modelling extracellular limitations for mediated versus direct interspecies electron transfer. Isme Journal 10(3): 621-631
Konno, R.N.; Nigam, N.; Wakeling, J.M. 2021: Modelling extracellular matrix and cellular contributions to whole muscle mechanics. Plos one 16(4): E0249601
Sørensen-Hygum, T.L.; Stuart, R.M.; Jørgensen, A.; Møbjerg, N. 2018: Modelling extreme desiccation tolerance in a marine tardigrade. Scientific Reports 8(1): 11495
Foster, T.; Falletta, J.; Amin, N.; Rahman, M.; Liu, P.; Raj, S.; Mills, F.; Petterson, S.; Norman, G.; Moe, C.; Willetts, J. 2021: Modelling faecal pathogen flows and health risks in urban Bangladesh: Implications for sanitation decision making. International Journal of Hygiene and Environmental Health 233: 113669
Vasconcelos, G.L.; Macêdo, A.ôn.M.S.; Ospina, R.; Almeida, F.A.G.; Duarte-Filho, G.C.; Brum, A.A.; Souza, I.ês.C.L. 2020: Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies. Peerj 8: E9421
Winter, A.; Salamonsen, L.A.; Evans, J. 2020: Modelling fibroid pathology: development and manipulation of a myometrial smooth muscle cell macromolecular crowding model to alter extracellular matrix deposition. Molecular Human Reproduction 26(7): 498-509
Vleeshouwers, L.M.; Kropff, M.J. 2000: Modelling field emergence patterns in arable weeds. New Phytologist 148(3): 445-457
Schuh, A.J.; Amman, B.R.; Jones, M.E.B.; Sealy, T.K.; Uebelhoer, L.S.; Spengler, J.R.; Martin, B.E.; Coleman-McCray, J.Ann.D.; Nichol, S.T.; Towner, J.S. 2017: Modelling filovirus maintenance in nature by experimental transmission of Marburg virus between Egyptian rousette bats. Nature Communications 8: 14446
Parr, H.; Bolat, I.; Cook, D. 2021: Modelling flavour formation in roasted malt substrates under controlled conditions of time and temperature. Food Chemistry 337: 127641
Lockington, D.; Wang, Z.; Qi, N.; Malyugin, B.; Cai, L.; Wang, C.; Tang, H.; Ramaesh, K.; Luo, X. 2020: Modelling floppy iris syndrome and the impact of pupil size and ring devices on iris displacement. Eye 34(12): 2227-2234
Coffigniez, F.; Rychlik, M.; Mestres, C.; Striegel, L.; Bohuon, P.; Briffaz, A.él. 2021: Modelling folates reaction kinetics during cowpea seed germination in comparison with soaking. Food Chemistry 340: 127960
Maddox, J. 1987: Modelling for its own sake. Nature 328(6131): 571
Goislard de Monsabert, B.; Hauraix, H.; Caumes, M.; Herbaut, A.; Berton, E.; Vigouroux, L. 2020: Modelling force-length-activation relationships of wrist and finger extensor muscles. Medical and Biological Engineering and Computing 58(10): 2531-2549
Thomas, G.; Rosalie, V.; Olivier, C.; Anna Maria, D.G.; Antonio, L.P. 2021: Modelling forest fire and firebreak scenarios in a mediterranean mountainous catchment: Impacts on sediment loads. Journal of Environmental Management 289: 112497
Lines, G.; Casey, J.M.; Preza, E.; Wray, S. 2020: Modelling frontotemporal dementia using patient-derived induced pluripotent stem cells. Molecular and Cellular Neurosciences 109: 103553
Chergui, B.; Pleguezuelos, J.M.; Fahd, S.; Santos, X. 2020: Modelling functional response of reptiles to fire in two Mediterranean forest types. Science of the Total Environment 732: 139205
Cobiac, L.J.; Scarborough, P. 2021: Modelling future trajectories of obesity and body mass index in England. Plos one 16(6): E0252072
Davis, C.N.; Keeling, M.J.; Rock, K.S. 2021: Modelling gambiense human African trypanosomiasis infection in villages of the Democratic Republic of Congo using Kolmogorov forward equations. Journal of the Royal Society Interface 18(183): 20210419
Lee, J.C.; Mills, L.; Hayes, B.K.; Livesey, E.J. 2021: Modelling generalisation gradients as augmented Gaussian functions. Quarterly Journal of Experimental Psychology 74(1): 106-121
Santini, L.; Palandri, C.; Nediani, C.; Cerbai, E.; Coppini, R. 2020: Modelling genetic diseases for drug development: Hypertrophic cardiomyopathy. Pharmacological Research 160: 105176
Stadler, H.Scott. 2003: Modelling genitourinary defects in mice: an emerging genetic and developmental system. Nature Reviews. Genetics 4(6): 478-482
Hierink, F.; Rodrigues, N.; Muñiz, M.; Panciera, R.; Ray, N. 2020: Modelling geographical accessibility to support disaster response and rehabilitation of a healthcare system: an impact analysis of Cyclones Idai and Kenneth in Mozambique. Bmj Open 10(11): E039138
Macharia, P.M.; Mumo, E.; Okiro, E.A. 2021: Modelling geographical accessibility to urban centres in Kenya in 2019. Plos one 16(5): E0251624
Debnath, J.; Brugge, J.S. 2005: Modelling glandular epithelial cancers in three-dimensional cultures. Nature Reviews. Cancer 5(9): 675-688
Alkhateeb, H.; El Fathi, A.; Ghanbari, M.; Haidar, A. 2021: Modelling glucose dynamics during moderate exercise in individuals with type 1 diabetes. Plos one 16(3): E0248280
Verstraeten, W.W.; Kouznetsov, R.; Hoebeke, L.; Bruffaerts, N.; Sofiev, M.; Delcloo, A.W. 2021: Modelling grass pollen levels in Belgium. Science of the Total Environment 753: 141903
Mätzing, H.; Gehrmann, H.-J.; Seifert, H.; Stapf, D. 2018: Modelling grate combustion of biomass and low rank fuels with CFD application. Waste Management 78: 686-697
Meshesha, T.Worku.; Wang, J.; Melaku, N.Demelash.; McClain, C.N. 2021: Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model. Scientific Reports 11(1): 13574
Uusitalo, R.; Siljander, M.; Dub, Tée.; Sane, J.; Sormunen, J.J.; Pellikka, P.; Vapalahti, O. 2020: Modelling habitat suitability for occurrence of human tick-borne encephalitis (TBE) cases in Finland. TicksandTick-BorneDiseases 11(5): 101457
Takahashi, E.A.; Masoud, L.; Mukbel, R.; Guitian, J.; Stevens, K.B. 2020: Modelling habitat suitability in Jordan for the cutaneous leishmaniasis vector (Phlebotomus papatasi) using multicriteria decision analysis. Plos Neglected Tropical Diseases 14(11): E0008852
Bernardi, R.; Grisendi, S.; Pandolfi, P.Paolo. 2002: Modelling haematopoietic malignancies in the mouse and therapeutical implications. Oncogene 21(21): 3445-3458
Mortazavi, B.; Pereira, L.Felipe.C.; Jiang, J-Wu.; Rabczuk, T. 2015: Modelling heat conduction in polycrystalline hexagonal boron-nitride films. Scientific Reports 5: 13228
Harbuzariu, A.; Pitts, S.; Cespedes, J.Carlos.; Harp, K.Oxendine.; Nti, A.; Shaw, A.P.; Liu, M.; Stiles, J.K. 2019: Modelling heme-mediated brain injury associated with cerebral malaria in human brain cortical organoids. Scientific Reports 9(1): 19162
De Villiers, M.J.; Gamkrelidze, I.; Hallett, T.B.; Nayagam, S.; Razavi, H.; Razavi-Shearer, D. 2020: Modelling hepatitis B virus infection and impact of timely birth dose vaccine: a comparison of two simulation models. Plos one 15(8): E0237525
Perelson, A.S.; Guedj, J. 2015: Modelling hepatitis C therapy--predicting effects of treatment. Nature Reviews. Gastroenterology and Hepatology 12(8): 437-445
Shekhtman, L.; Cotler, S.J.; Hershkovich, L.; Uprichard, S.L.; Bazinet, M.; Pantea, V.; Cebotarescu, V.; Cojuhari, L.; Jimbei, P.; Krawczyk, A.; Dittmer, U.; Vaillant, A.; Dahari, H. 2020: Modelling hepatitis D virus RNA and HBsAg dynamics during nucleic acid polymer monotherapy suggest rapid turnover of HBsAg. Scientific Reports 10(1): 7837
Leake, I. 2019: Modelling hepato-biliary-pancreatic organogenesis. Nature Reviews. Gastroenterology and Hepatology 16(12): 706
Pham, T.Anh.; Ping, Y.; Galli, G. 2017: Modelling heterogeneous interfaces for solar water splitting. Nature Materials 16(4): 401-408
Wang, S.; Wang, Y.; Zhou, Q.; Li, X.; Li, Y.; Liu, Y.; Sun, Y.; Wang, T.; Xu, L.-C.; Wang, Y. 2021: Modelling high performance potassium-ion battery anode materials with two-dimensional vanadium carbide MXene: the role of surface O- and S-terminations. Physical Chemistry Chemical Physics: Pccp 23(6): 3898-3904
Lu, M.; Shu, Y.; Huang, J.; Ruan, S.; Zhang, X.; Zou, L. 2021: Modelling homosexual and heterosexual transmissions of hepatitis B virus in China. Journal of Biological Dynamics 15(1): 177-194
Moran, J.L.; Santamaria, J.D.; Duke, G.J. 2021: Modelling hospital outcome: problems with endogeneity. Bmc Medical Research Methodology 21(1): 124
Lázár, A.N.; Adams, H.; Adger, W.N.; Nicholls, R.J. 2020: Modelling household well-being and poverty trajectories: An application to coastal Bangladesh. Plos one 15(9): E0238621
Dixit, N.M.; Layden-Almer, J.E.; Layden, T.J.; Perelson, A.S. 2004: Modelling how ribavirin improves interferon response rates in hepatitis C virus infection. Nature 432(7019): 922-924
Vagaska, B.; Gillham, O.; Ferretti, P. 2020: Modelling human CNS injury with human neural stem cells in 2- and 3-Dimensional cultures. Scientific Reports 10(1): 6785
McCracken, K.W.; Catá, E.M.; Crawford, C.M.; Sinagoga, K.L.; Schumacher, M.; Rockich, B.E.; Tsai, Y-Hwai.; Mayhew, C.N.; Spence, J.R.; Zavros, Y.; Wells, J.M. 2014: Modelling human development and disease in pluripotent stem-cell-derived gastric organoids. Nature 516(7531): 400-404
Pereira Daoud, A.M.; Popovic, M.; Dondorp, W.J.; Trani Bustos, M.; Bredenoord, A.L.; Chuva de Sousa Lopes, S.M.; van den Brink, S.C.; Roelen, B.A.J.; de Wert, G.M.W.R.; Heindryckx, B.ör. 2020: Modelling human embryogenesis: embryo-like structures spark ethical and policy debate. Human Reproduction Update 26(6): 779-798
Preising, M.; Suchomlinov, A.; Tutkuviene, J.; Aßmann, C. 2016: Modelling human height and weight: a Bayesian approach towards model comparison. European Journal of Clinical Nutrition 70(6): 656-661
Koike, H.; Iwasawa, K.; Ouchi, R.; Maezawa, M.; Giesbrecht, K.; Saiki, N.; Ferguson, A.; Kimura, M.; Thompson, W.L.; Wells, J.M.; Zorn, A.M.; Takebe, T. 2019: Modelling human hepato-biliary-pancreatic organogenesis from the foregut-midgut boundary. Nature 574(7776): 112-116
Kostrzewski, T.; Snow, S.; Battle, A.Lindström.; Peel, S.; Ahmad, Z.; Basak, J.; Surakala, M.; Bornot, A.; Lindgren, J.; Ryaboshapkina, M.; Clausen, M.; Lindén, D.; Maass, C.; Young, L.May.; Corrigan, A.; Ewart, L.; Hughes, D. 2021: Modelling human liver fibrosis in the context of non-alcoholic steatohepatitis using a microphysiological system. Communications Biology 4(1): 1080
Grant, R.; Nguyen, L.-B.L.; Breban, R. 2020: Modelling human-to-human transmission of monkeypox. Bulletin of the World Health Organization 98(9): 638-640
Díaz-Gil, L.; Brasó-Maristany, F.; Locatelli, C.; Centa, A.; Győrffy, B.ás.; Ocaña, A.; Prat, A.; Pandiella, A. 2021: Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer. Journal of Experimental and Clinical Cancer Research: Cr 40(1): 313
Yang, H.; Wang, J.; Li, J.; Zhou, H.; Liu, Z. 2021: Modelling impacts of water diversion on water quality in an urban artificial lake. Environmental Pollution 276: 116694
Jameson, B.A. 1989: Modelling in peptide design. Nature 341(6241): 465-466
Ekvall, T.; Gottfridsson, M.; Nellström, M.; Nilsson, J.; Rydberg, M.; Rydberg, T. 2021: Modelling incineration for more accurate comparisons to recycling in PEF and LCA. Waste Management 136: 153-161
Ellinas, C. 2018: Modelling indirect interactions during failure spreading in a project activity network. Scientific Reports 8(1): 4373
Wiles, S.; Hanage, W.P.; Frankel, G.; Robertson, B. 2006: Modelling infectious disease - time to think outside the box?. Nature Reviews. Microbiology 4(4): 307-312
Law, K.Boon.; M Peariasamy, K.; Mohd Ibrahim, H.; Abdullah, N.Hisham. 2021: Modelling infectious diseases with herd immunity in a randomly mixed population. Scientific Reports 11(1): 20574
Bayry, J.; Kaveri, S.V. 2006: Modelling infectious diseases: viral complexity. Nature Reviews. Microbiology 4(8): 637
Meehan, M.T.; Rojas, D.P.; Adekunle, A.I.; Adegboye, O.A.; Caldwell, J.M.; Turek, E.; Williams, B.M.; Marais, B.J.; Trauer, J.M.; McBryde, E.S. 2020: Modelling insights into the COVID-19 pandemic. Paediatric Respiratory Reviews 35: 64-69
Cepeda, J.A.; Bórquez, A.; Magana, C.; Vo, A.; Rafful, C.; Rangel, G.; Medina-Mora, M.ía.E.; Strathdee, S.; Martin, N.K. 2020: Modelling integrated antiretroviral treatment and harm reduction services on HIV and overdose among people who inject drugs in Tijuana, Mexico. Journal of the International Aids Society 23(Suppl 1): E25493
Alharzali, N.; Rodríguez-Segundo, R.úl.; Prosmiti, R. 2021: Modelling interactions of cationic dimers in he droplets: microsolvation trends in HenK2+ clusters. Physical Chemistry Chemical Physics: Pccp 23(13): 7849-7859
Antunes, G.; Roque, A.C.; Simoes de Souza, F.M. 2016: Modelling intracellular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding. Scientific Reports 6: 23730
Ong, E.; Wang, L.L.; Schaub, J.; O'Toole, J.F.; Steck, B.; Rosenberg, A.Z.; Dowd, F.; Hansen, J.; Barisoni, L.; Jain, S.; de Boer, I.H.; Valerius, M.Todd.; Waikar, S.S.; Park, C.; Crawford, D.C.; Alexandrov, T.; Anderton, C.R.; Stoeckert, C.; Weng, C.; Diehl, A.D.; Mungall, C.J.; Haendel, M.; Robinson, P.N.; Himmelfarb, J.; Iyengar, R.; Kretzler, M.; Mooney, S.; He, Y. 2020: Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project. Nature Reviews. Nephrology 16(11): 686-696
Freedman, B.S.; Brooks, C.R.; Lam, A.Q.; Fu, H.; Morizane, R.; Agrawal, V.; Saad, A.F.; Li, M.K.; Hughes, M.R.; Werff, R.Vander.; Peters, D.T.; Lu, J.; Baccei, A.; Siedlecki, A.M.; Valerius, M.Todd.; Musunuru, K.; McNagny, K.M.; Steinman, T.I.; Zhou, J.; Lerou, P.H.; Bonventre, J.V. 2015: Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids. Nature Communications 6: 8715
Xu, J.; Renaud, F.G.; Barrett, B. 2022: Modelling land system evolution and dynamics of terrestrial carbon stocks in the Luanhe River Basin, China: a scenario analysis of trade-offs and synergies between sustainable development goals. Sustainability Science 17(4): 1323-1345
McDonnell, M.D.T.; Grant-Jacob, J.A.; Xie, Y.; Praeger, M.; Mackay, B.S.; Eason, R.W.; Mills, B. 2020: Modelling laser machining of nickel with spatially shaped three pulse sequences using deep learning. Optics Express 28(10): 14627-14637
Rajagopal, S.; Cox, B.T. 2021: Modelling laser ultrasound waveforms: the effect of varying pulse duration and material properties. Journal of the Acoustical Society of America 149(3): 2040
Kahlen, K.; Wiechers, D.; Stützel, H. 2008: Modelling leaf phototropism in a cucumber canopy. Functional Plant Biology: Fpb 35(10): 876-884
Lafuma, A.; Berdeaux, G. 2009: Modelling lifetime cost consequences of ReSTOR for presbyopia in four European countries. Eye 23(5): 1072-1080
Shirt-Ediss, B.; Ruiz-Mirazo, K.; Mavelli, F.; Solé, R.V. 2014: Modelling lipid competition dynamics in heterogeneous protocell populations. Scientific Reports 4: 5675
F Brandner, A.; Timr, S.; Melchionna, S.; Derreumaux, P.; Baaden, M.; Sterpone, F. 2019: Modelling lipid systems in fluid with Lattice Boltzmann Molecular Dynamics simulations and hydrodynamics. Scientific Reports 9(1): 16450
Hauser, M.; Nowack, B. 2021: Modelling local nanobiomaterial release and concentration hotspots in the environment. Environmental Pollution 284: 117399
Lome-Hurtado, A.; Lartigue-Mendoza, J.; Trujillo, J.C. 2021: Modelling local patterns of child mortality risk: a Bayesian Spatio-temporal analysis. Bmc Public Health 21(1): 29
Chakraborty, S.; Schreiber, E.; Sanchez-Lievanos, K.R.; Tariq, M.; Brennessel, W.W.; Knowles, K.E.; Matson, E.M. 2021: Modelling local structural and electronic consequences of proton and hydrogen-atom uptake in VO2 with polyoxovanadate clusters. Chemical Science 12(38): 12744-12753
Dickens, B.L.; Koo, J.R.; Lim, J.T.; Park, M.; Quaye, S.; Sun, H.; Sun, Y.; Pung, R.; Wilder-Smith, A.; Chai, L.Y.A.; Lee, V.J.; Cook, A.R. 2020: Modelling lockdown and exit strategies for COVID-19 in Singapore. Lancet Regional Health. Western Pacific 1: 100004
Georgiou, F.; Buhl, J.; Green, J.E.F.; Lamichhane, B.; Thamwattana, N. 2021: Modelling locust foraging: how and why food affects group formation. Plos Computational Biology 17(7): E1008353
Plewis, I. 2020: Modelling long-term impacts of Bt cotton. Nature Plants 6(11): 1320
Schäfer, S.; Wang, K.; Sundling, F.; Yang, J.; Liu, A.; Nanan, R. 2021: Modelling maternal and perinatal risk factors to predict poorly controlled childhood asthma. Plos one 16(5): E0252215
Sansom, M.S.; Sankararamakrishnan, R.; Kerr, I.D. 1995: Modelling membrane proteins using structural restraints. Nature Structural Biology 2(8): 624-631
de Paula Oliveira, T.; Bruinvels, G.; Pedlar, C.R.; Moore, B.; Newell, J. 2021: Modelling menstrual cycle length in athletes using state-space models. Scientific Reports 11(1): 16972
Ibrahim, M.; Raajaraam, L.; Raman, K. 2021: Modelling microbial communities: Harnessing consortia for biotechnological applications. Computational and Structural Biotechnology Journal 19: 3892-3907
Krug, P.K.; Gerazov, B.; van Niekerk, D.R.; Xu, A.; Xu, Y.; Birkholz, P. 2021: Modelling microprosodic effects can lead to an audible improvement in articulatory synthesis. Journal of the Acoustical Society of America 150(2): 1209
Dechering, K.J.; Duerr, H-Peter.; Koolen, K.M.J.; Gemert, G-Jan.van.; Bousema, T.; Burrows, J.; Leroy, D.; Sauerwein, R.W. 2017: Modelling mosquito infection at natural parasite densities identifies drugs targeting EF2, PI4K or ATP4 as key candidates for interrupting malaria transmission. Scientific Reports 7(1): 17680
Palma, D.; Enam, A.; Hess, S.; Calastri, C.; Crastes Dit Sourd, R. 2021: Modelling multiple occurrences of activities during a day: an extension of the MDCEV model. TRANSPORTMETRICA. B Transport Dynamics 9(1): 456-478
Martínez-Larrosa, J.úl.; Matute-Blanch, C.; Montalban, X.; Comabella, M. 2020: Modelling multiple sclerosis using induced pluripotent stem cells. Journal of Neuroimmunology 349: 577425
Chapeton, J.I.; Zaghloul, K.A. 2021: Modelling multiregional brain activity. Nature Biomedical Engineering 5(4): 293-294
Olivier, M.; Weninger, A.; Ardin, M.; Huskova, H.; Castells, X.; Vallée, M.P.; McKay, J.; Nedelko, T.; Muehlbauer, K-Rudolf.; Marusawa, H.; Alexander, J.; Hazelwood, L.; Byrnes, G.; Hollstein, M.; Zavadil, J. 2014: Modelling mutational landscapes of human cancers in vitro. Scientific Reports 4: 4482
Dowling, M.R.; Hodgkin, P.D. 2009: Modelling naive T-cell homeostasis: consequences of heritable cellular lifespan during ageing. Immunology and Cell Biology 87(6): 445-456
Ball, G.; Adamson, C.; Beare, R.; Seal, M.L. 2017: Modelling neuroanatomical variation during childhood and adolescence with neighbourhood-preserving embedding. Scientific Reports 7(1): 17796
Khurana, V.; Lindquist, S. 2010: Modelling neurodegeneration in Saccharomyces cerevisiae: why cook with baker's yeast?. Nature Reviews. Neuroscience 11(6): 436-449
Muqit, M.M.K.; Feany, M.B. 2002: Modelling neurodegenerative diseases in Drosophila: a fruitful approach?. Nature Reviews. Neuroscience 3(3): 237-243
Chang, Y.; Kim, J.; Park, H.; Choi, H.; Kim, J. 2020: Modelling neurodegenerative diseases with 3D brain organoids. Biological Reviews of the Cambridge Philosophical Society 95(5): 1497-1509
Trinh, M.; Khou, V.; Zangerl, B.; Kalloniatis, M.; Nivison-Smith, L. 2021: Modelling normal age-related changes in individual retinal layers using location-specific OCT analysis. Scientific Reports 11(1): 558
Hayes, A.J.; Lung, T.W.C.; Bauman, A.; Howard, K. 2017: Modelling obesity trends in Australia: unravelling the past and predicting the future. International Journal of Obesity 41(1): 178-185
Kopanitsa, G.; Metsker, O.; Yakovlev, A.; Fedorenko, A.; Zvartau, N. 2020: Modelling of COVID-19 Morbidity in Russia. Studies in Health Technology and Informatics 273: 262-265
Wang, W.; Li, C.; Qiu, R.; Chen, Y.; Wu, Z.; Zhang, H.; Li, J. 2018: Modelling of Cellular Survival Following Radiation-Induced DNA Double-Strand Breaks. Scientific Reports 8(1): 16202
Teoh, S.; Chu, K.Y.; Robinson, M.; Whyntie, T.; Heuvel, F.Van.Den.; Mukherjee, S.; Maughan, T.S. 2021: Modelling of Dosimetric Impact of Visceral Organ Variability During MRI-Guided Hypofractionated Stereotactic Ablative Radiotherapy (SABR) to the Pancreas. International Journal of Radiation Oncology Biology Physics 111(3s): E556-E557
Gonay, L.; Spourquet, C.; Baudoin, M.; Lepers, L.; Lemoine, P.; Fletcher, A.G.; Hanert, E.; Pierreux, C.E. 2021: Modelling of Epithelial Growth, Fission and Lumen Formation During Embryonic Thyroid Development: a Combination of Computational and Experimental Approaches. Frontiers in Endocrinology 12: 655862
Monti, M.; Guiducci, G.; Paone, A.; Rinaldo, S.; Giardina, G.; Liberati, F.R.; Cutruzzolá, F.; Tartaglia, G.G. 2021: Modelling of SHMT1 riboregulation predicts dynamic changes of serine and glycine levels across cellular compartments. Computational and Structural Biotechnology Journal 19: 3034-3041
Wee, W.W.; Siau, M.Y.; Arumugasamy, S.K.; Muthuvelu, K.S. 2021: Modelling of adsorption of anionic azo dye using Strychnos potatorum Linn seeds (SPS) from aqueous solution with artificial neural network (ANN). Environmental Monitoring and Assessment 193(10): 638
Rayevsky, A.; Samofalova, D.O.; Maximyuk, O.; Platonov, M.; Hurmach, V.; Ryabukhin, S.; Volochnyuk, D. 2021: Modelling of an autonomous Nav1.5 channel system as a part of in silico pharmacology study. Journal of Molecular Modeling 27(6): 182
Stigsson, C.; Furusjö, E.; Börjesson, P. 2022: A model of an integrated hydrothermal liquefaction, gasification and Fischer-Tropsch synthesis process for converting lignocellulosic forest residues into hydrocarbons. Bioresource Technology 353: 126070
Moussa, A.; Lauer, T.; Stoll, D.; Desmet, G.; Broeckhoven, K. 2021: Modelling of analyte profiles and band broadening generated by interface loops used in multi-dimensional liquid chromatography. Journal of Chromatography. a 1659: 462578
Zukić, S.; Maran, U. 2020: Modelling of antiproliferative activity measured in HeLa cervical cancer cells in a series of xanthene derivatives. Sar and Qsar in Environmental Research 31(12): 905-921
Rabadjieva, D.; Kovacheva, A.; Tepavitcharova, S.; Ilieva, R.; Gergulova, R.; Vladov, I.; Karavoltsos, S. 2021: Modelling of chemical species of Al, Mn, Zn, and Pb in river body waters of industrial areas of West Rhodope Mountain, Bulgaria. Environmental Monitoring and Assessment 193(7): 430
Marcinkowski, P.ł; Mirosław-Świątek, D. 2020: Modelling of climate change impact on flow conditions in the lowland anastomosing river. Peerj 8: E9275
Al-Zu'bi, M.; Mohan, A. 2020: Modelling of combination therapy using implantable anticancer drug delivery with thermal ablation in solid tumor. Scientific Reports 10(1): 19366
Mandal, P.; Srinivas, D.; Suresh, G.; Srinagesh, D. 2021: Modelling of crustal composition and Moho depths and their Implications toward seismogenesis in the Kumaon-Garhwal Himalaya. Scientific Reports 11(1): 14067
Sołowski, G.ł; Pastuszak, K. 2021: Modelling of dark fermentation of glucose and sour cabbage. Heliyon 7(8): E07690
Gilligan, C.A.; Brassett, P.R.; Campbell, A. 1994: Modelling of early infection of cereal roots by the take-all fungus: a detailed mechanistic simulator. New Phytologist 128(3): 515-537
Wang, C.; Matarneh, S.K.; Gerrard, D.; Tan, J. 2021: Modelling of energy metabolism and analysis of pH variations in postmortem muscle. Meat Science 182: 108634
Morphis, M.; van Staden, J.A.; du Raan, H.; Ljungberg, M. 2021: Modelling of energy-dependent spectral resolution for SPECT Monte Carlo simulations using SIMIND. Heliyon 7(2): E06097
Cseke, A.; Haines-Gadd, M.; Mativenga, P.; Charnley, F.; Thomas, B.; Perry, J. 2022: Modelling of environmental impacts of printed self-healing products. Science of the Total Environment 807(Part 2): 150780
Wu, K.; Coquet, P.; Wang, Q.Jie.; Genevet, P. 2018: Modelling of free-form conformal metasurfaces. Nature Communications 9(1): 3494
Borge-Durán, I.; Aias, D.; Grinberg, I. 2021: Modelling of high-temperature order-disorder phase transitions of non-stoichiometric Mo2C and Ti2C from first principles. Physical Chemistry Chemical Physics: Pccp 23(39): 22305-22312
Zwain, H.M.; Nile, B.K.; Faris, A.M.; Vakili, M.; Dahlan, I. 2020: Modelling of hydrogen sulfide fate and emissions in extended aeration sewage treatment plant using TOXCHEM simulations. Scientific Reports 10(1): 22209
Stevenson, M.; Metry, A.; Messenger, M. 2021: Modelling of hypothetical SARS-CoV-2 point of care tests for routine testing in residential care homes: rapid cost-effectiveness analysis. Health Technology Assessment 25(39): 1-74
Stevenson, M.; Metry, A.; Messenger, M. 2021: Modelling of hypothetical SARS-CoV-2 point-of-care tests on admission to hospital from A&E: rapid cost-effectiveness analysis. Health Technology Assessment 25(21): 1-68
Le Cornec, C.ém.M.A.; Molden, N.; van Reeuwijk, M.; Stettler, M.E.J. 2020: Modelling of instantaneous emissions from diesel vehicles with a special focus on NOx: Insights from machine learning techniques. Science of the Total Environment 737: 139625
Luan, D.; Zhao, M.; Zhao, Q.; Wang, N. 2021: Modelling of integrated scheduling problem of capacitated equipment systems with a multi-lane road network. Plos one 16(6): E0251875
Person, R.S.; Libkind, M.S. 1967: Modelling of interference bioelectric activity. Biofizika 12(1): 127-134
Libkind, M.S. 1968: Modelling of interference bioelectric activity. Biofizika 13(4): 685-693
Wang, Y.-P.; Goll, D.S. 2021: Modelling of land nutrient cycles: recent progress and future development. Faculty Reviews 10: 53
Dutz, A.; Lühr, A.; Agolli, L.; Bütof, R.; Valentini, C.; Troost, E.G.C.; Baumann, M.; Vermeren, X.; Geismar, D.; Lamba, N.; Lebow, E.S.; Bussière, M.; Daly, J.E.; Bussière, M.R.; Krause, M.; Timmermann, B.; Shih, H.A.; Löck, S. 2021: Modelling of late side-effects following cranial proton beam therapy. RadioTherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology 157: 15-23
Seddek, A.-L.; Hassan, R. 2020: Modelling of liver regeneration after hepatectomy. Archives of Toxicology 94(10): 3605-3606
Poudel, D.; Avtandilashvili, M.; Klumpp, J.A.; Bertelli, L.; Tolmachev, S.Y. 2021: Modelling of long-term retention of high-fired plutonium oxide in the human respiratory tract: importance of scar-tissue compartments. Journal of Radiological Protection: Official Journal of the Society for Radiological Protection 41(4)
Bogoviku, L.; Waldmann, D.èl. 2021: Modelling of mineral construction and demolition waste dynamics through a combination of geospatial and image analysis. Journal of Environmental Management 282: 111879
Rani, P.; Tripathy, P.P. 2020: Modelling of moisture migration during convective drying of pineapple slice considering non-isotropic shrinkage and variable transport properties. Journal of Food Science and Technology 57(10): 3748-3761
Baqer, Y.; Chen, X.; Rochelle, C.; Thornton, S. 2020: Modelling of multi-minerals kinetic evolution in hyper-alkaline leachate for a 15-year experiment. Environmental Science and Pollution Research International 27(28): 35604-35617
Mert Ozupek, N.; Cavas, L. 2021: Modelling of multilinear gradient retention time of bio-sweetener rebaudioside a in HPLC analysis. Analytical Biochemistry 627: 114248
Kendzia, B.; Pesch, B.; Koppisch, D.; Van Gelder, R.; Pitzke, K.; Zschiesche, W.; Behrens, T.; Weiss, T.; Siemiatycki, J.; Lavoué, J.; Jöckel, K-Heinz.; Stamm, R.; Brüning, T. 2017: Modelling of occupational exposure to inhalable nickel compounds. Journal of Exposure Science and Environmental Epidemiology 27(4): 427-433
Nordam, T.; Litzler, E.; Skancke, J.ør.; Singsaas, I.; Leirvik, F.; Johansen, Øi. 2020: Modelling of oil thickness in the presence of an ice edge. Marine Pollution Bulletin 156: 111229
Costantino, V.; Kunasekaran, M.; MacIntyre, C.Raina. 2021: Modelling of optimal vaccination strategies in response to a bioterrorism associated smallpox outbreak. Human Vaccines and Immunotherapeutics 17(3): 738-746
Mosai, A.K.; Johnson, R.H.; Tutu, H. 2021: Modelling of palladium(II) adsorption onto amine-functionalised zeolite using a generalised surface complexation approach. Journal of Environmental Management 277: 111416
Nelson, S.R.; Zhang, C.; Roche, S.; O'Neill, F.; Swan, N.; Luo, Y.; Larkin, A.; Crown, J.; Walsh, N. 2020: Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development. Scientific Reports 10(1): 2778
Sobczyk, R.; Czortek, P.; Serigstad, B.; Pabis, K. 2021: Modelling of polychaete functional diversity: Large marine ecosystem response to multiple natural factors and human impacts on the West African continental margin. Science of the Total Environment 792: 148075
Yildiz, S.; Sönmez, V.Z.ül.; Uğurlu, Öz.; Sivri, N.ük.; Loughney, S.; Wang, J. 2021: Modelling of possible tanker accident oil spills in the Istanbul Strait in order to demonstrate the dispersion and toxic effects of oil pollution. Environmental Monitoring and Assessment 193(8): 538
Riemer, N.; Schieler, M.; Racca, P.; Saucke, H. 2021: Modelling of post-diapause development and spring emergence of Cydia nigricana (Lepidoptera: Tortricidae). Bulletin of Entomological Research 111(4): 402-410
Van der Vaart, J.; Böttinger, L.; Geurts, M.H.; van de Wetering, W.J.; Knoops, K.èv.; Sachs, N.; Begthel, H.; Korving, J.; Lopez-Iglesias, C.; Peters, P.J.; Eitan, K.; Gileles-Hillel, A.; Clevers, H. 2021: Modelling of primary ciliary dyskinesia using patient-derived airway organoids. Embo Reports 22(12): E52058
Engelbrecht, J.ür.; Tamm, K.; Peets, T. 2020: Modelling of processes in nerve fibres at the interface of physiology and mathematics. Biomechanics and Modeling in Mechanobiology 19(6): 2491-2498
English, S.; Steele, A.; Williams, A.; Blacklay, J.; Sorinola, O.; Wernisch, L.; Grammatopoulos, D.K. 2018: Modelling of psychosocial and lifestyle predictors of peripartum depressive symptoms associated with distinct risk trajectories: a prospective cohort study. Scientific Reports 8(1): 12799
Raposio, R.; Braoudakis, G.; Rosenfeld, A.; Thorogood, G.J. 2021: Modelling of reusable target materials for the production of fission produced 99Mo using MCNP6.2 and CINDER90. Applied Radiation and Isotopes: Including Data Instrumentation and Methods for use in Agriculture Industry and Medicine 176: 109827
Ouyang, Z.; Li, D. 2016: Modelling of segmented high-performance thermoelectric generators with effects of thermal radiation, electrical and thermal contact resistances. Scientific Reports 6: 24123
Zhou, C.; Li, Z. 2020: Modelling of self-management in schizophrenia: the role of neurocognition, self-efficacy and motivation. Journal of Clinical Nursing 29(21-22): 3966-3976
Gandini, E.; Sironi, M.; Pieraccini, S. 2020: Modelling of short synthetic antifreeze peptides: Insights into ice-pinning mechanism. Journal of Molecular Graphics and Modelling 100: 107680
Wan, B.; Shahmoradi, M.; Zhang, Z.; Shibata, Y.; Sarrafpour, B.; Swain, M.; Li, Q. 2019: Modelling of stress distribution and fracture in dental occlusal fissures. Scientific Reports 9(1): 4682
Ferrario, V.; Fischer, M.; Zhu, Y.; Pleiss, Jürgen. 2019: Modelling of substrate access and substrate binding to cephalosporin acylases. Scientific Reports 9(1): 12402
Rueda-Bayona, J.G.; Horrillo-Caraballo, J.é; Chaparro, T.R. 2020: Modelling of surface river plume using set-up and input data files of Delft-3D model. Data in Brief 31: 105899
Bhardwaj, R.; Wolterbeek, H.T.; Denkova, A.G.; Serra-Crespo, P. 2020: Modelling of the 177mLu/177Lu radionuclide generator. Applied Radiation and Isotopes: Including Data Instrumentation and Methods for use in Agriculture Industry and Medicine 166: 109261
Ivanković, K.; Kern, M.; Rožman, M. 2021: Modelling of the adsorption of pharmaceutically active compounds on carbon-based nanomaterials. Journal of Hazardous Materials 414: 125554
Cherevko, A.A.; Gologush, T.S.; Petrenko, I.A.; Ostapenko, V.V.; Panarin, V.A. 2020: Modelling of the arteriovenous malformation embolization optimal scenario. Royal Society Open Science 7(7): 191992
Xie, R.; Bouw, M.R.; Hammarlund-Udenaes, M. 2000: Modelling of the blood-brain barrier transport of morphine-3-glucuronide studied using microdialysis in the rat: involvement of probenecid-sensitive transport. British Journal of Pharmacology 131(8): 1784-1792
Rincon Soler, A.I.; Bonomini, M.ía.P.; Fernández Biscay, C.; Ingallina, F.; Arini, P.D. 2020: Modelling of the electrocardiographic signal during an angioplasty procedure in the right coronary artery. Journal of Electrocardiology 62: 65-72
Yeung, C.Ho.Ching.; Gohil, P.; Rangan, A.M.; Flood, V.M.; Arcot, J.; Gill, T.P.; Louie, J.Chun.Yu. 2017: Modelling of the impact of universal added sugar reduction through food reformulation. Scientific Reports 7(1): 17392
Caillault, K.; Roupioz, L.; Viallefont-Robinet, F. 2021: Modelling of the optical signature of oil slicks at sea for the analysis of multi- and hyperspectral VNIR-SWIR images. Optics Express 29(12): 18224-18242
Della Paschoa, O.E.; Voskuyl, R.A.; Danhof, M. 1998: Modelling of the pharmacodynamic interaction between phenytoin and sodium valproate. British Journal of Pharmacology 125(7): 1610-1616
Kuang, S.; Yan, G. 2020: Modelling on mutual inductance of wireless power transfer for capsule endoscopy. Biomedical Microdevices 22(3): 54
Perra, N.; Rocha, L.E.C. 2019: Modelling opinion dynamics in the age of algorithmic personalisation. Scientific Reports 9(1): 7261
Tierney, T.M.; Alexander, N.; Mellor, S.; Holmes, N.; Seymour, R.; O'Neill, G.C.; Maguire, E.A.; Barnes, G.R. 2021: Modelling optically pumped magnetometer interference in MEG as a spatially homogeneous magnetic field. Neuroimage 244: 118484
Morozov, A.; Kuzenkov, O.A.; Arashkevich, E.G. 2019: Modelling optimal behavioural strategies in structured populations using a novel theoretical framework. Scientific Reports 9(1): 15020
Moore, S.; Hill, E.M.; Dyson, L.; Tildesley, M.J.; Keeling, M.J. 2021: Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. Plos Computational Biology 17(5): E1008849
Kayhanian, S.; Young, A.M.H.; Mangla, C.; Jalloh, I.; Fernandes, H.M.; Garnett, M.R.; Hutchinson, P.J.; Agrawal, S. 2019: Modelling outcomes after paediatric brain injury with admission laboratory values: a machine-learning approach. Pediatric Research 86(5): 641-645
Chalk, D.; Robbins, S.; Kandasamy, R.; Rush, K.; Aggarwal, A.; Sullivan, R.; Chamberlain, C. 2021: Modelling palliative and end-of-life resource requirements during COVID-19: implications for quality care. Bmj Open 11(5): E043795
Ulvestad, E. 2020: Modelling pandemics - why so difficult?. Tidsskrift for den Norske Laegeforening: Tidsskrift for Praktisk Medicin Ny Raekke 140(15)
Esser, A.é; Ziegler, P.; Kaifie, A.; Kraus, T.; Schettgen, T. 2021: Modelling past human internal exposure to lower chlorinated indicator PCBs using proxies - a calculation based on multiple longitudinal PCB analyses. Science of the Total Environment 784: 147250
Georgiadou, A.; Lee, H.Jae.; Walther, M.; van Beek, A.E.; Fitriani, F.; Wouters, D.; Kuijpers, T.W.; Nwakanma, D.; D'Alessandro, U.; Riley, E.M.; Otto, T.D.; Ghani, A.; Levin, M.; Coin, L.J.; Conway, D.J.; Bretscher, M.T.; Cunnington, A.J. 2019: Modelling pathogen load dynamics to elucidate mechanistic determinants of host-Plasmodium falciparum interactions. Nature Microbiology 4(9): 1592-1602
Piotrowska, M.J.; Sakowski, K.; Karch, A.é; Tahir, H.; Horn, J.; Kretzschmar, M.E.; Mikolajczyk, R.T. 2020: Modelling pathogen spread in a healthcare network: Indirect patient movements. Plos Computational Biology 16(11): E1008442
Lee, G.; Papapetrou, E.P.; Kim, H.; Chambers, S.M.; Tomishima, M.J.; Fasano, C.A.; Ganat, Y.M.; Menon, J.; Shimizu, F.; Viale, A.; Tabar, V.; Sadelain, M.; Studer, L. 2009: Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCs. Nature 461(7262): 402-406
Suyetin, M.; Bag, S.; Anand, P.; Borkowska-Panek, M.; Gußmann, F.; Brieg, M.; Fink, K.; Wenzel, W. 2022: Modelling peptide adsorption energies on gold surfaces with an effective implicit solvent and surface model. Journal of Colloid and Interface Science 605: 493-499
Borrani, F.; Solsona, R.; Candau, R.; Méline, T.; Sanchez, A.Mj. 2021: Modelling performance with exponential functions in elite short-track speed skaters. Journal of Sports Sciences 2021: 1-8
Thierry, B.; Deneubourg, J.-L.; Poulin, N. 2020: Modelling persistence over generations in biological and cultural evolution based on differential paces of change. Bio Systems 196: 104189
Phyu, W.Kyaw.; Ong, K.Chai.; Wong, K.Thong. 2017: Modelling person-to-person transmission in an Enterovirus A71 orally infected hamster model of hand-foot-and-mouth disease and encephalomyelitis. Emerging Microbes and Infections 6(7): E62
Bulut, H.; Gölgeli, M.; Atay, F.M. 2021: Modelling personal cautiousness during the COVID-19 pandemic: a case study for Turkey and Italy. Nonlinear Dynamics 105(1): 957-969
Pigliucci, M. 1996: Modelling phenotypic plasticity. II. Do genetic correlations matter?. Heredity 77: 453-460
Lacointe, A.é; Minchin, P.E.H. 2008: Modelling phloem and xylem transport within a complex architecture. Functional Plant Biology: Fpb 35(10): 772-780
Segarra-Martí, J.; Bearpark, M.J. 2021: Modelling Photoionisation in Isocytosine: Potential Formation of Longer-Lived Excited State Cations in its Keto Form. Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry 22(21): 2172-2181
Sun, J.; Sun, J.; Feng, Z. 2015: Modelling photosynthesis in flag leaves of winter wheat (Triticum aestivum) considering the variation in photosynthesis parameters during development. Functional Plant Biology: Fpb 42(11): 1036-1044
Smestad, G.P.; Germer, T.A.; Alrashidi, H.; Fernández, E.F.; Dey, S.; Brahma, H.; Sarmah, N.; Ghosh, A.; Sellami, N.; Hassan, I.A.I.; Desouky, M.; Kasry, A.; Pesala, B.; Sundaram, S.; Almonacid, F.; Reddy, K.S.; Mallick, T.K.; Micheli, L. 2020: Modelling photovoltaic soiling losses through optical characterization. Scientific Reports 10(1): 58
Mohammadyari, P.; Gadda, G.; Taibi, A. 2021: Modelling physiology of haemodynamic adaptation in short-term microgravity exposure and orthostatic stress on Earth. Scientific Reports 11(1): 4672
Garde, R.; Ewald, J.; Kovács, Ák.T.; Schuster, S. 2020: Modelling population dynamics in a unicellular social organism community using a minimal model and evolutionary game theory. Open Biology 10(11): 200206
Roldán-Pallarés, M.; Bravo-Llatas, C.; Musa, A-S.; Hernandez-Montero, J.; Fernández-Durango, R. 2012: Modelling postoperative visual acuity with and without proliferative vitreoretinopathy associated with primary rhegmatogenous retinal detachment. Eye 26(10): 1329-1336
Tiwari, S.; Ghosh, B.G.; Vaidya, S.N.; Rahaman, S.M.; Khatun, M.; Garai, S.; Saikia, P.; Kumar, A. 2021: Modelling potentially suitable lac cultivation zones of Butea monosperma to promote livelihood security in rural India. Vegetos 34(3): 630-637
Zhao, J.; Chow, R.P.; McLeese, R.H.; Hookham, M.B.; Lyons, T.J.; Yu, J.Y. 2021: Modelling preeclampsia: a comparative analysis of the common human trophoblast cell lines. Faseb Bioadvances 3(1): 23-35
Pratt, J.A.; Winchester, C.; Egerton, A.; Cochran, S.M.; Morris, B.J. 2008: Modelling prefrontal cortex deficits in schizophrenia: implications for treatment. British Journal of Pharmacology 153 Suppl. 1: S465-S470
Stocken, D.D.; Hassan, A.B.; Altman, D.G.; Billingham, L.J.; Bramhall, S.R.; Johnson, P.J.; Freemantle, N. 2008: Modelling prognostic factors in advanced pancreatic cancer. British Journal of Cancer 99(6): 883-893
Hart, K.M.; Ho, C.M.W.; Dutta, S.; Gross, M.L.; Bowman, G.R. 2016: Modelling proteins' hidden conformations to predict antibiotic resistance. Nature Communications 7: 12965
Esposti Ongaro, T.; Komorowski, J.-C.; Legendre, Y.; Neri, A. 2020: Modelling pyroclastic density currents from a subplinian eruption at la Soufrière de Guadeloupe (West Indies, France). Bulletin of Volcanology 82(12): 76
Bouhedjar, K.; Benfenati, E.; Nacereddine, A.K. 2020: Modelling quantitative structure activity-activity relationships (QSAARs): auto-pass-pass, a new approach to fill data gaps in environmental risk assessment under the REACH regulation. Sar and Qsar in Environmental Research 31(10): 785-801
Karpiuk, T.; Nikołajuk, M.; Gajda, M.; Brewczyk, Mław. 2021: Modelling quantum aspects of disruption of a white dwarf star by a black hole. Scientific Reports 11(1): 2286
Camerin, F.; Gnan, N.; Rovigatti, L.; Zaccarelli, E. 2018: Modelling realistic microgels in an explicit solvent. Scientific Reports 8(1): 14426
Boschetti, F.; Lozano-Montes, H.; Stelfox, B. 2020: Modelling regional futures at decadal scale: application to the Kimberley region. Scientific Reports 10(1): 849
Malhi, G.S.; Das, P.; Bell, E.; Mattingly, G.; Mannie, Z. 2019: Modelling resilience in adolescence and adversity: a novel framework to inform research and practice. Translational Psychiatry 9(1): 316
Ackaah, W.; Aidoo, E.N. 2020: Modelling risk factors for red light violation in the Kumasi Metropolis, Ghana. International Journal of Injury Control and Safety Promotion 2020: 1-6
Okaali, D.A.; Kroeze, C.; Medema, G.; Burek, P.; Murphy, H.; Tumwebaze, I.K.; Rose, J.B.; Verbyla, M.E.; Sewagudde, S.; Hofstra, N. 2021: Modelling rotavirus concentrations in rivers: Assessing Uganda's present and future microbial water quality. Water Research 204: 117615
Di Domenico, L.; Pullano, G.; Sabbatini, C.E.; Boëlle, P-Yves.; Colizza, V. 2021: Modelling safe protocols for reopening schools during the COVID-19 pandemic in France. Nature Communications 12(1): 1073
Ogden, N.H.; Fazil, A.; Arino, J.; Berthiaume, P.; Fisman, D.N.; Greer, A.L.; Ludwig, A.; Ng, V.; Tuite, A.R.; Turgeon, P.; Waddell, L.A.; Wu, J. 2020: Modelling scenarios of the epidemic of COVID-19 in Canada. Canada Communicable Disease Report 46(8): 198-204
Brennand, K.J.; Simone, A.; Jou, J.; Gelboin-Burkhart, C.; Tran, N.; Sangar, S.; Li, Y.; Mu, Y.; Chen, G.; Yu, D.; McCarthy, S.; Sebat, J.; Gage, F.H. 2011: Modelling schizophrenia using human induced pluripotent stem cells. Nature 473(7346): 221-225
Gao, Q.; Yu, M.; Zhang, X.; Xu, H.; Huang, Y. 2005: Modelling seasonal and diurnal dynamics of stomatal conductance of plants in a semiarid environment. Functional Plant Biology: Fpb 32(7): 583-598
Paredes, L.D.; Landaeta, M.F.; Molinet, C.; González, M.Teresa. 2021: Modelling seasonal patterns of larval fish parasitism in two northern nearshore areas in the Humboldt Current System. Scientific Reports 11(1): 579
Abdullaev, E.T.; Umarova, I.R.; Arndt, P.F. 2021: Modelling segmental duplications in the human genome. Bmc Genomics 22(1): 496
Peixoto, T.P.; Rosvall, M. 2017: Modelling sequences and temporal networks with dynamic community structures. Nature Communications 8(1): 582
Rouder, J.N..; Gomez, P. 2001: Modelling serial position curves with temporal distinctiveness. Memory 9(4): 301-311
Tsiftsis, S.; Djordjević, V. 2020: Modelling sexually deceptive orchid species distributions under future climates: the importance of plant-pollinator interactions. Scientific Reports 10(1): 10623
Goyens, J. 2020: Modelling shows that stimulation of the semicircular canals depends on the rotation centre. Hearing Research 396: 108071
Keppel, M.N.; Post, V.E.A.; Love, A.J.; Werner, A.D.; Clarke, J.D.A.; Halihan, T. 2018: Modelling size constraints on carbonate platform formation in groundwater upwelling zones. Scientific Reports 8(1): 17460
Janssen, M.A. 2017: Modelling social norms of water conservation. Nature Human Behaviour 1(9): 624-625
Li, M.; Hai, X.; Hong, H.; Shao, Y.; Peng, D.; Xu, W.; Yang, Y.; Zheng, Y.; Xia, Z. 2019: Modelling soil detachment by overland flow for the soil in the Tibet Plateau of China. Scientific Reports 9(1): 8063
Hussain Shah, S.H.; Wang, J.; Hao, X.; Thomas, B.W. 2022: Modelling soil salinity effects on salt water uptake and crop growth using a modified denitrification-decomposition model: a phytoremediation approach. Journal of Environmental Management 301: 113820
Di Nola, M.F.; Escapa, M.; Ansah, J.P. 2018: Modelling solid waste management solutions: the case of Campania, Italy. Waste Management 78: 717-729
Cozzoli, F.; Shokri, M.; Gomes da Conceição, T.; Herman, P.M.J.; Hu, Z.; Soissons, L.M.; Van Dalen, J.; Ysebaert, T.; Bouma, T.J. 2021: Modelling spatial and temporal patterns in bioturbator effects on sediment resuspension: a biophysical metabolic approach. Science of the Total Environment 792: 148215
Maljutenko, I.; Hassellöv, I.-M.; Eriksson, M.; Ytreberg, E.; Yngsell, D.; Johansson, L.; Jalkanen, J.-P.; Kõuts, M.; Kasemets, M.-L.; Moldanova, J.; Magnusson, K.; Raudsepp, U. 2021: Modelling spatial dispersion of contaminants from shipping lanes in the Baltic Sea. Marine Pollution Bulletin 173(Part A): 112985
Appiah-Otoo, I.; Kursah, M.B. 2022: Modelling spatial variations of novel coronavirus disease (COVID-19): evidence from a global perspective. Geojournal 87(4): 3203-3217
Zhu, Y.; Zheng, S.; Reygondeau, G.; Zhang, Z.; Chu, J.; Hong, X.; Wang, Y.; Cheung, W.W.L. 2020: Modelling spatiotemporal trends in range shifts of marine commercial fish species driven by climate change surrounding the Antarctic Peninsula. Science of the Total Environment 737: 140258
Yasanthi, R.G.N.; Mehran, B.; Alhajyaseen, W.K.M. 2021: Modelling speed behaviour in rural highways: Safety analysis of driving under adverse road-weather conditions. Plos one 16(8): E0256322
Teusink, B.; Smid, E.J. 2006: Modelling strategies for the industrial exploitation of lactic acid bacteria. Nature Reviews. Microbiology 4(1): 46-56
Sánchez-Taltavull, D.; Castelo-Szekely, V.; Candinas, D.; Roldán, E.; Beldi, G. 2021: Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19. Journal of Theoretical Biology 523: 110718
Mendes da Silva, T.; Giuggioli, N.R.; Peano, C. 2021: Modelling strawberry quality in a longitudinal study under the marketing concept of branding. Heliyon 7(2): E06165
Harrison, S.J.; Bijsterbosch, J.D.; Segerdahl, A.R.; Fitzgibbon, S.P.; Farahibozorg, S.-R.; Duff, E.P.; Smith, S.M.; Woolrich, M.W. 2020: Modelling subject variability in the spatial and temporal characteristics of functional modes. Neuroimage 222: 117226
Montnach, J.ér.ôm.; Baró, I.; Charpentier, F.; De Waard, M.; Loussouarn, G. 2021: Modelling sudden cardiac death risks factors in patients with coronavirus disease of 2019: the hydroxychloroquine and azithromycin case. Europace: European Pacing Arrhythmias and Cardiac Electrophysiology: Journal of the Working Groups on Cardiac Pacing Arrhythmias and Cardiac Cellular Electrophysiology of the European Society of Cardiology 23(7): 1124-1133
Rypdal, M.; Rypdal, V.; Jakobsen, P.K.; Ytterstad, E.; Løvsletten, O.; Klingenberg, C.; Rypdal, K. 2021: Modelling suggests limited change in the reproduction number from reopening Norwegian kindergartens and schools during the COVID-19 pandemic. Plos one 16(2): E0238268
Flynn, K.J.; Clark, D.R.; Owens, N.J.P. 2002: Modelling suggests that optimization of dark nitrogen-assimilation need not be a critical selective feature in phytoplankton. New Phytologist 155(1): 109-119
Ashauer, R.; Albert, C.; Augustine, S.; Cedergreen, N.; Charles, S.; Ducrot, V.; Focks, A.; Gabsi, F.; Gergs, Aé.; Goussen, B.; Jager, T.; Kramer, N.I.; Nyman, A-Maija.; Poulsen, V.; Reichenberger, S.; Schäfer, R.B.; Van den Brink, P.J.; Veltman, K.; Vogel, Sören.; Zimmer, E.I.; Preuss, T.G. 2016: Modelling survival: exposure pattern, species sensitivity and uncertainty. Scientific Reports 6: 29178
Ahmad, I.; Gao, M.; Patel, R.; Leung, H.Y. 2013: Modelling synergistic interactions between HER2, Sprouty2 and PTEN in driving prostate carcinogenesis. Asian Journal of Andrology 15(3): 323-327
Maposa, D.; Seimela, A.M.; Sigauke, C.; Cochran, J.J. 2021: Modelling temperature extremes in the Limpopo province: bivariate time-varying threshold excess approach. Natural Hazards 107(3): 2227-2246
Hui, B.B.; Brown, D.; Chisholm, R.H.; Geard, N.; McVernon, J.; Regan, D.G. 2021: Modelling testing and response strategies for COVID-19 outbreaks in remote Australian Aboriginal communities. Bmc Infectious Diseases 21(1): 929
Sumner, R.L.; Spriggs, M.J.; Shaw, A.D. 2021: Modelling thalamocortical circuitry shows that visually induced LTP changes laminar connectivity in human visual cortex. Plos Computational Biology 17(1): E1008414
Brooks-Pollock, E.; Danon, L.; Jombart, T.; Pellis, L. 2021: Modelling that shaped the early COVID-19 pandemic response in the UK. Philosophical Transactions of the Royal Society of London. Series B Biological Sciences 376(1829): 20210001
Newans, T.; Bellinger, P.; Dodd, K.; Minahan, C. 2019: Modelling the Acceleration and Deceleration Profile of Elite-level Soccer Players. International Journal of Sports Medicine 40(5): 331-335
Giordano, G.; Blanchini, F.; Bruno, R.; Colaneri, P.; Di Filippo, A.; Di Matteo, A.; Colaneri, M. 2020: Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nature Medicine 26(6): 855-860
Guo, Y.; Shi, Y.; Zhang, Y.; Li, Y.; Wang, M.; Liu, Q. 2021: Modelling the Ecological Suitability of the Chagas Disease Vector Triatoma rubrofasciata- China. China Cdc Weekly 3(35): 736-740
Al Basir, F.; Adhurya, S.; Banerjee, M.; Venturino, E.; Ray, S. 2020: Modelling the Effect of Incubation and Latent Periods on the Dynamics of Vector-Borne Plant Viral Diseases. Bulletin of Mathematical Biology 82(7): 94
Liu, W.; Ye, W.; Zhao, Z.; Liu, C.; Deng, B.; Luo, L.; Huang, J.; Wang, Y.; Rui, J.; Zhao, B.; Su, Y.; Wu, S.; Chen, K.; Ou, J.; Chen, T. 2021: Modelling the Emerging COVID-19 Epidemic and Estimating Intervention Effectiveness - Taiwan, China, 2021. China Cdc Weekly 3(34): 716-719
Vicente, R.; Mohamed, Y.; Eguíluz, V.M.; Zemmar, E.; Bayer, P.; Neimat, J.S.; Hernesniemi, J.; Nelson, B.J.; Zemmar, A. 2021: Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers. Frontiers in Robotics and Ai 8: 652685
Rodríguez-López, M.ía.I.; Gómez-López, V.M.; Lukseviciute, V.; Luksiene, Z. 2020: Modelling the Inactivation and Possible Regrowth of Salmonella enterica Treated with Chlorophyllin-Chitosan Complex and Visible Light. Food Technology and Biotechnology 58(1): 64-70
Huang, N.; Zhou, G.; Zhang, M.; Zhang, M.; Yu, Z. 2021: Modelling the Latent Semantics of Diffusion Sources in Information Cascade Prediction. Computational Intelligence and Neuroscience 2021: 7880215
Babaoglu, A.B.; Tekindal, M.A. 2021: Modelling the Number of people per Physician, Nurse, and Midwives in Turkey in Terms of Reproductive Health Indicators. Inquiry: a Journal of Medical Care Organization Provision and Financing 58: 469580211020873
Nyabadza, F.; Chirove, F.; Chukwu, C.W.; Visaya, M.V. 2020: Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa. Computational and Mathematical Methods in Medicine 2020: 5379278
Colomer, M.ª Àn.; Margalida, A.; Alòs, F.; Oliva-Vidal, P.; Vilella, A.; Fraile, L. 2021: Modelling the SARS-CoV-2 outbreak: Assessing the usefulness of protective measures to reduce the pandemic at population level. Science of the Total Environment 789: 147816
Lloyd, P.; Dixon, R. 2021: Modelling the Spread of the Coronavirus: a View from Economics. Australian Economic Review 54(1): 36-56
Muga, F.C.; Marenya, M.O.; Workneh, T.S. 2021: Modelling the Thin-Layer Drying Kinetics of Marinated Beef during Infrared-Assisted Hot Air Processing of Biltong. International Journal of Food Science 2021: 8819780
Huang, R.; Xia, M.; Sakamuru, S.; Zhao, J.; Shahane, S.A.; Attene-Ramos, M.; Zhao, T.; Austin, C.P.; Simeonov, A. 2016: Modelling the Tox21 10 K chemical profiles for in vivo toxicity prediction and mechanism characterization. Nature Communications 7: 10425
Rahman, A.; Kuddus, M.A. 2021: Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries. Biomed Research International 2021: 5089184
Pagendam, D.E.; Trewin, B.J.; Snoad, N.; Ritchie, S.A.; Hoffmann, A.A.; Staunton, K.M.; Paton, C.; Beebe, N. 2020: Modelling the Wolbachia incompatible insect technique: strategies for effective mosquito population elimination. Bmc Biology 18(1): 161
Chong, N.S.; Smith, S.R.; Werkman, M.; Anderson, R.M. 2021: Modelling the ability of mass drug administration to interrupt soil-transmitted helminth transmission: Community-based deworming in Kenya as a case study. Plos Neglected Tropical Diseases 15(8): E0009625
Ma, Y.-F.; You, X.-Y. 2021: Modelling the accumulation of microplastics through food webs with the example Baiyangdian Lake, China. Science of the Total Environment 762: 144110
Piccolo, N.; Goel, R.; Snowling, S.; Kim, Y. 2021: Modeling the anaerobic digestion of wastewater sludge under sulfate-rich conditions. Water Environment Research: a Research Publication of the Water Environment Federation 93(10): 2084-2096
Fitzgibbon, W.E.; Morgan, J.J.; Webb, G.F.; Wu, Y. 2020: Modelling the aqueous transport of an infectious pathogen in regional communities: application to the cholera outbreak in Haiti. Journal of the Royal Society Interface 17(169): 20200429
Mallants, D.; Kirby, J.; Golding, L.; Apte, S.; Williams, M. 2022: Modelling the attenuation of flowback chemicals for a soil-groundwater pathway from a hypothetical spill accident. Science of the Total Environment 806(Part 3): 150686
Brandman, D.M.; Leck, E.; Christie, S. 2020: Modelling the backlog of COVID-19 cases for a surgical group. Canadian Journal of Surgery. Journal Canadien de Chirurgie 63(5): E391-E392
Kulish, V.; Hyhlík, Táš.; Sláma, P. 2021: Modelling the behaviour of thermal energy harvesting devices with phase-change materials. Scientific Reports 11(1): 20522
Pidò, S.; Crovari, P.; Garzotto, F. 2021: Modelling the bioinformatics tertiary analysis research process. Bmc Bioinformatics 22(Suppl 13): 452
Møller, C.O.d.A.; Christensen, B.B.; Rattray, F.P. 2021: Modelling the biphasic growth of non-starter lactic acid bacteria on starter-lysate as a substrate. International Journal of Food Microbiology 337: 108937