EurekaMag PDF full texts Chapter 59,980

Ahmed, A.; Devadason, E.S.; Al-Amin, A.Q. 2017: Modeling technical change in climate analysis: evidence from agricultural crop damages. Environmental Science and Pollution Research International 24(13): 12347-12359

Moallem, Z.; Karimi-Malati, A.; Sahragard, A.; Zibaee, A. 2017: Modeling Temperature-Dependent Development of Glyphodes pyloalis (Lepidoptera: Pyralidae). Journal of Insect Science 17(1)

Berli, C.L.A.; Mercuri, M.í; Bellino, M.ín.G. 2017: Modeling the abnormally slow infiltration rate in mesoporous films. Physical Chemistry Chemical Physics: Pccp 19(3): 1731-1734

Olsen, J.óg.M.H.; Hedegård, E.D. 2017: Modeling the absorption spectrum of the permanganate ion in vacuum and in aqueous solution. Physical Chemistry Chemical Physics: Pccp 19(24): 15870-15875

Tournassat, C.; Davis, J.A.; Chiaberge, C.; Grangeon, S.; Bourg, I.C. 2016: Modeling the Acid-Base Properties of Montmorillonite Edge Surfaces. Environmental Science and Technology 50(24): 13436-13445

Mijailovich, S.M.; Nedic, D.; Svicevic, M.; Stojanovic, B.; Walklate, J.; Ujfalusi, Z.; Geeves, M.A. 2017: Modeling the Actin.myosin ATPase Cross-Bridge Cycle for Skeletal and Cardiac Muscle Myosin Isoforms. Biophysical Journal 112(5): 984-996

Šarić, M.; Rossmeisl, J.; Moses, P.Georg. 2017: Modeling the active sites of Co-promoted MoS 2 particles by DFT. Physical Chemistry Chemical Physics: Pccp 19(3): 2017-2024

Phillips, A.J.K.; Klerman, E.B.; Butler, J.P. 2017: Modeling the adenosine system as a modulator of cognitive performance and sleep patterns during sleep restriction and recovery. Plos Computational Biology 13(10): E1005759

Schulthess, C.P.; Ndu, U. 2017: Modeling the adsorption of hydrogen, sodium, chloride and phthalate on goethite using a strict charge-neutral ion-exchange theory. Plos one 12(5): E0176743

Gupta, S.; Basant, N. 2017: Modeling the aqueous phase reactivity of hydroxyl radical towards diverse organic micropollutants: An aid to water decontamination processes. Chemosphere 185: 1164-1172

Bowyer, J.E.; Lc de Los Santos, E.; Styles, K.M.; Fullwood, A.; Corre, C.; Bates, D.G. 2017: Modeling the architecture of the regulatory system controlling methylenomycin production in Streptomyces coelicolor. Journal of Biological Engineering 11: 30

Jorgensen, M.; Siette, J.; Georgiou, A.; Warland, A.; Westbrook, J. 2018: Modeling the Association Between Home Care Service Use and Entry Into Residential Aged Care: A Cohort Study Using Routinely Collected Data. Journal of the American Medical Directors Association 19(2): 117-121.e3

Taherian Fard, A.; Ragan, M.A. 2017: Modeling the Attractor Landscape of Disease Progression: a Network-Based Approach. Frontiers in Genetics 8: 48

Hall, M.E.; Mohtaram, N.K.; Willerth, S.M.; Edwards, R. 2017: Modeling the behavior of human induced pluripotent stem cells seeded on melt electrospun scaffolds. Journal of Biological Engineering 11: 38

Taylor, E.J.; Jones, R.L.; Guthrie, J.A.; Rowe, I.A. 2017: Modeling the benefits and harms of surveillance for hepatocellular carcinoma: Information to support informed choices. Hepatology 66(5): 1546-1555

Sadeghi, M.; Haghdoost, A.A.; Bahrampour, A.; Dehghani, M. 2017: Modeling the Burden of Cardiovascular Diseases in Iran from 2005 to 2025: the Impact of Demographic Changes. Iranian Journal of Public Health 46(4): 506-516

Rist, C.L.; Ngonghala, C.N.; Garchitorena, A.; Brook, C.E.; Ramananjato, R.; Miller, A.C.; Randrianarivelojosia, M.; Wright, P.C.; Gillespie, T.R.; Bonds, M.H. 2015: Modeling the burden of poultry disease on the rural poor in Madagascar. One Health 1: 60-65

Selvaraj, B.T.; Livesey, M.R.; Chandran, S. 2017: Modeling the C9ORF72 repeat expansion mutation using human induced pluripotent stem cells. Brain Pathology 27(4): 518-524

Barbulescu, A.; Barbes, L. 2017: Modeling the carbon monoxide dissipation in Timisoara, Romania. Journal of Environmental Management 204(Part 3): 831-838

Hu, L.; Hogan, J.W.; Mwangi, A.W.; Siika, A. 2018: Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB co-infection. Biometrics 74(2): 703-713

Wang, Y.; Jiang, R.; Wong, W.H. 2016: Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data. National Science Review 3(2): 240-251

Jhun, M.A.; Smith, J.A.; Ware, E.B.; Kardia, S.L.R.; Mosley, T.H.; Turner, S.T.; Peyser, P.A.; Park, S.Kyun. 2017: Modeling the Causal Role of DNA Methylation in the Association Between Cigarette Smoking and Inflammation in African Americans: A 2-Step Epigenetic Mendelian Randomization Study. American Journal of Epidemiology 186(10): 1149-1158

Cho, H.; Levy, D. 2018: Modeling the chemotherapy-induced selection of drug-resistant traits during tumor growth. Journal of Theoretical Biology 436: 120-134

Huisman, B.; Hoore, M.; Gompper, G.; Fedosov, D.A. 2017: Modeling the cleavage of von Willebrand factor by ADAMTS13 protease in shear flow. Medical Engineering and Physics 48: 14-22

Spasevska, I.; Ayoub, A.T.; Winter, P.; Preto, J.; Wong, G.K.-S.; Dumontet, C.; Tuszynski, J.A. 2017: Modeling the Colchicum autumnale Tubulin and a Comparison of its Interaction with Colchicine to Human Tubulin. International Journal of Molecular Sciences 18(8)

Kaur, B.P.; Rao, P.Srinivasa. 2017: Modeling the Combined Effect of Pressure and Mild Heat on the Inactivation Kinetics of Escherichia coli, Listeria innocua , and Staphylococcus aureus in Black Tiger Shrimp ( Penaeus monodon ). Frontiers in Microbiology 8: 1311

Dermody, S.S.; Thomas, K.M.; Hopwood, C.J.; Durbin, C.E.; Wright, A.G.C. 2017: Modeling the complexity of dynamic, momentary interpersonal behavior: Applying the time-varying effect model to test predictions from interpersonal theory. Journal of Research in Personality 68: 54-62

Winglee, J.M.; Bossa, N.; Rosen, D.; Vardner, J.T.; Wiesner, M.R. 2017: Modeling the Concentration of Volatile and Semivolatile Contaminants in Direct Contact Membrane Distillation (DCMD) Product Water. Environmental Science and Technology 51(22): 13113-13121

Riesen, M.; Garcia, V.; Low, N.; Althaus, C.L. 2017: Modeling the consequences of regional heterogeneity in human papillomavirus (HPV) vaccination uptake on transmission in Switzerland. Vaccine 35(52): 7312-7321

Boynton, P.J.; Janzen, T.; Greig, D. 2018: Modeling the contributions of chromosome segregation errors and aneuploidy to Saccharomyces hybrid sterility. Yeast 35(1): 85-98

Gao, Y.; Li, J.; Li, J.; Wang, S. 2018: Modeling the convergence accommodation of stereo vision for binocular endoscopy. International Journal of Medical Robotics + Computer Assisted Surgery: Mrcas 14(1)

Pascacio-Villafán, C.; Birke, A.; Williams, T.; Aluja, M.ín. 2017: Modeling the cost-effectiveness of insect rearing on artificial diets: a test with a tephritid fly used in the sterile insect technique. Plos one 12(3): E0173205

Denchev, P.; Pearson, J.L.; Allen, M.H.; Claassen, C.A.; Currier, G.W.; Zatzick, D.F.; Schoenbaum, M. 2018: Modeling the Cost-Effectiveness of Interventions to Reduce Suicide Risk Among Hospital Emergency Department Patients. Psychiatric Services 69(1): 23-31

Brashears, J.A.; Hoffman, T.C.M.; DeNardo, D.F. 2017: Modeling the costs and benefits associated with the evolution of endothermy using a robotic python. Journal of Experimental Biology 220(Part 13): 2409-2417

Duintjer Tebbens, R.J.; Thompson, K.M. 2017: Modeling the costs and benefits of temporary recommendations for poliovirus exporting countries to vaccinate international travelers. Vaccine 35(31): 3823-3833

Niemi, J.K.; Bergman, P.; Ovaska, S.; Sevón-Aimonen, M.-L.; Heinonen, M. 2017: Modeling the Costs of Postpartum Dysgalactia Syndrome and Locomotory Disorders on Sow Productivity and Replacement. Frontiers in Veterinary Science 4: 181

Bahou, N.; Fenwick, C.; Anderson, G.; van der Meer, R.; Vassalos, T. 2018: Modeling the critical care pathway for cardiothoracic surgery. Health Care Management Science 21(2): 192-203

Cunningham, C.E.; Barwick, M.; Rimas, H.; Mielko, S.; Barac, R. 2018: Modeling the Decision of Mental Health Providers to Implement Evidence-Based Children's Mental Health Services: a Discrete Choice Conjoint Experiment. Administration and Policy in Mental Health 45(2): 302-317

Anssari-Benam, A.; Bucchi, A. 2018: Modeling the Deformation of the Elastin Network in the Aortic Valve. Journal of Biomechanical Engineering 140(1)

Zhou, R.; Jin, D.; Hosseini, P.; Singh, V.Raj.; Kim, Y-Hyo.; Kuang, C.; Dasari, R.R.; Yaqoob, Z.; So, P.T.C. 2017: Modeling the depth-sectioning effect in reflection-mode dynamic speckle-field interferometric microscopy. Optics Express 25(1): 130-143

Nakamura, S.; Wakita, A.; Ito, M.; Okamoto, H.; Nishioka, S.; Iijima, K.; Kobayashi, K.; Nishio, T.; Igaki, H.; Itami, J. 2017: Modeling the detection efficiency of an HP-Ge detector for use in boron neutron capture therapy. Applied Radiation and Isotopes: Including Data Instrumentation and Methods for use in Agriculture Industry and Medicine 125: 80-85

Song, X.; Violin, J.D.; Seidler, F.J.; Slotkin, T.A. 1998: Modeling the developmental neurotoxicity of chlorpyrifos in vitro: macromolecule synthesis in PC12 cells. Toxicology and Applied Pharmacology 151(1): 182-191

Getz, L.M.; Nordeen, E.R.; Vrabic, S.C.; Toscano, J.C. 2017: Modeling the Development of Audiovisual Cue Integration in Speech Perception. Brain Sciences 7(3)

Lynch, W.J. 2018: Modeling the development of drug addiction in male and female animals. Pharmacology Biochemistry and Behavior 164: 50-61

Lin, X.; Li, J.-J.; Qian, W.-J.; Zhang, Q.-J.; Wang, Z.-F.; Lu, Y.-Q.; Dong, E.-L.; He, J.; Wang, N.; Ma, L.-X.; Chen, W.-J. 2017: Modeling the differential phenotypes of spinal muscular atrophy with high-yield generation of motor neurons from human induced pluripotent stem cells. Oncotarget 8(26): 42030-42042

Yilmaz, H.; Rasulev, B.; Leszczynski, J. 2015: Modeling the Dispersibility of Single Walled Carbon Nanotubes in Organic Solvents by Quantitative Structure-Activity Relationship Approach. Nanomaterials 5(2): 778-791

Fletcher, P.A.; Zemkova, H.; Stojilkovic, S.S.; Sherman, A. 2017: Modeling the diversity of spontaneous and agonist-induced electrical activity in anterior pituitary corticotrophs. Journal of Neurophysiology 117(6): 2298-2311

Callens, M.B.; Crijns, W.; Depuydt, T.; Haustermans, K.; Maes, F.; D'Agostino, E.; Wevers, M.; Pfeiffer, H.; Van Den Abeele, K. 2017: Modeling the dose dependence of the vis-absorption spectrum of EBT3 GafChromic™ films. Medical Physics 44(6): 2532-2543

White, W.S.; Zhou, Y.; Crane, A.; Dixon, P.; Quadt, F.; Flendrig, L.M. 2017: Modeling the dose effects of soybean oil in salad dressing on carotenoid and fat-soluble vitamin bioavailability in salad vegetables. American Journal of Clinical Nutrition 106(4): 1041-1051

Gotch, F.A. 1999: Modeling the Dose of Home Dialysis. Home Hemodialysis International. International Symposium on Home Hemodialysis 3(1): 37-40

Cabrera-Becerril, A.; Vargas-De-León, C.; Hernández, S.; Miramontes, P.; Peralta, R.úl. 2017: Modeling the dynamics of chromosomal alteration progression in cervical cancer: a computational model. Plos one 12(7): E0180882

Güçlü, U.; van Gerven, M.A.J. 2017: Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks. Frontiers in Computational Neuroscience 11: 7

Geiszler, D.R.; Gallucci, V.F.; Gara, R.I. 1980: Modeling the dynamics of mountain pine beetle aggregation in a lodgepole pine stand. Oecologia 46(2): 244-253

Parmar, J.H.; Davis, G.; Shevchuk, H.; Mendes, P. 2017: Modeling the dynamics of mouse iron body distribution: hepcidin is necessary but not sufficient. Bmc Systems Biology 11(1): 57

Petscher, Y.; Justice, L.M.; Hogan, T. 2018: Modeling the Early Language Trajectory of Language Development When the Measures Change and Its Relation to Poor Reading Comprehension. Child Development 89(6): 2136-2156

Biedenkopf, N.; Hoenen, T. 2017: Modeling the Ebolavirus Life Cycle with Transcription and Replication-Competent Viruslike Particle Assays. Methods in Molecular Biology 1628: 119-131

Buceta, J.; Johnson, K. 2017: Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology. Plos one 12(6): E0179559

Blackburn, J.K.; Matakarimov, S.; Kozhokeeva, S.; Tagaeva, Z.; Bell, L.K.; Kracalik, I.T.; Zhunushov, A. 2017: Modeling the Ecological Niche of Bacillus anthracis to Map Anthrax Risk in Kyrgyzstan. American Journal of Tropical Medicine and Hygiene 96(3): 550-556

Lee, B.Y.; Adam, A.; Zenkov, E.; Hertenstein, D.; Ferguson, M.C.; Wang, P.I.; Wong, M.S.; Wedlock, P.; Nyathi, S.; Gittelsohn, J.; Falah-Fini, S.; Bartsch, S.M.; Cheskin, L.J.; Brown, S.T. 2017: Modeling the Economic and Health Impact of Increasing Children's Physical Activity in the United States. Health Affairs 36(5): 902-908

Carr, E.W.; Shirazi, Y.; Parsons, G.R.; Hoagland, P.; Sommerfield, C.K. 2018: Modeling the Economic Value of Blue Carbon in Delaware Estuary Wetlands: Historic Estimates and Future Projections. Journal of Environmental Management 206: 40-50

Kapitanov, G.I.; Ayati, B.P.; Martin, J.A. 2017: Modeling the effect of blunt impact on mitochondrial function in cartilage: implications for development of osteoarthritis. Peerj 5: E3468

Alias, M.A.; Buenzli, P.R. 2017: Modeling the Effect of Curvature on the Collective Behavior of Cells Growing new Tissue. Biophysical Journal 112(1): 193-204

Sinkkonen, A. 2005: Modeling the effect of density-dependent chemical interference upon seed germination. Nonlinearity in Biology Toxicology Medicine 3(2): 225-233

Nguyen Van Long, N.; Vasseur, V.ér.; Couvert, O.; Coroller, L.; Burlot, M.; Rigalma, K.; Mounier, J.ér.ôm. 2017: Modeling the Effect of Modified Atmospheres on Conidial Germination of Fungi from Dairy Foods. Frontiers in Microbiology 8: 2109

Kashchiev, D. 2017: Modeling the Effect of Monomer Conformational Change on the Early Stage of Protein Self-Assembly into Fibrils. Journal of Physical Chemistry. B 121(1): 35-46

De-La-Llana-Calvo, Ál.; Lázaro-Galilea, J.é L.; Gardel-Vicente, A.; Rodríguez-Navarro, D.; Bravo-Muñoz, I.; Tsirigotis, G.; Iglesias-Miguel, J. 2017: Modeling the Effect of Optical Signal Multipath. Sensors 17(9)

Zhang, T. 2017: Modeling the Effect of Physical Activity on Obesity in China: Evidence from the Longitudinal China Health and Nutrition Study 1989-2011. International journal of environmental research and public health 14(8)

Burgos-Mármol, J.J.; Álvarez-Machancoses, Ós.; Patti, A. 2017: Modeling the Effect of Polymer Chain Stiffness on the Behavior of Polymer Nanocomposites. Journal of Physical Chemistry. B 121(25): 6245-6256

Smith, D.F.; Hildebrandt, I.M.; Casulli, K.E.; Dolan, K.D.; Marks, B.P. 2016: Modeling the Effect of Temperature and Water Activity on the Thermal Resistance of Salmonella Enteritidis PT 30 in Wheat Flour. Journal of Food Protection 79(12): 2058-2065

He, W.; Lian, J.; Yao, Y.; Wu, M.; Ma, C. 2017: Modeling the effect of temperature-control curtain on the thermal structure in a deep stratified reservoir. Journal of Environmental Management 202(Part 1): 106-116

Julliard, W.; Fechner, J.H.; Owens, L.; O'Driscoll, C.A.; Zhou, L.; Sullivan, J.A.; Frydrych, L.; Mueller, A.; Mezrich, J.D. 2017: Modeling the Effect of the Aryl Hydrocarbon Receptor on Transplant Immunity. Transplantation Direct 3(5): E157

Lott, D.; Krause, A.; Seemayer, C.A.; Strasser, D.S.; Dingemanse, J.; Lehr, T. 2017: Modeling the Effect of the Selective S1P1 Receptor Modulator Ponesimod on Subsets of Blood Lymphocytes. Pharmaceutical Research 34(3): 599-609

Sarabadani Tafreshi, A.; Okle, J.; Klamroth-Marganska, V.; Riener, R. 2017: Modeling the effect of tilting, passive leg exercise, and functional electrical stimulation on the human cardiovascular system. Medical and Biological Engineering and Computing 55(9): 1693-1708

Cunjin Luo; Kuanquan Wang; Henggui Zhang 2017: Modeling the effects of amiodarone on short QT syndrome variant 2 in the human ventricles. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2017: 4273-4276

Van Vugt, M.K.; van den Hurk, P.M. 2017: Modeling the Effects of Attentional Cueing on Meditators. Mindfulness 8(1): 38-45

Shakiba, M.; Parson, N.; Chen, X.-G. 2016: Modeling the Effects of Cu Content and Deformation Variables on the High-Temperature Flow Behavior of Dilute Al-Fe-Si Alloys Using an Artificial Neural Network. Materials 9(7)

Chehrazi, E.; Sharif, A.; Omidkhah, M.; Karimi, M. 2017: Modeling the Effects of Interfacial Characteristics on Gas Permeation Behavior of Nanotube-Mixed Matrix Membranes. Acs Applied Materials and Interfaces 9(42): 37321-37331

Sheehan, J.D.; Savage, P.E. 2017: Modeling the effects of microalga biochemical content on the kinetics and biocrude yields from hydrothermal liquefaction. Bioresource Technology 239: 144-150

Xiao, K.; Zhao, Y.; Ouyang, G.; Li, X. 2017: Modeling the Effects of Nanopatterned Surfaces on Wetting States of Droplets. Nanoscale Research Letters 12(1): 309

Hoghooghi, N.; Radcliffe, D.E.; Habteselassie, M.Y.; Jeong, J. 2017: Modeling the Effects of Onsite Wastewater Treatment Systems on Nitrate Loads Using SWAT in an Urban Watershed of Metropolitan Atlanta. Journal of Environmental Quality 46(3): 632-640

Bang, J.-H.; Oh, I.; Kim, S.; You, S.; Kim, Y.; Kwon, H.-J.; Kim, G.-B. 2017: Modeling the effects of pollutant emissions from large industrial complexes on benzene, toluene, and xylene concentrations in urban areas. Environmental Health and Toxicology 32: E2017022

Bartell, S.M.; Nair, S.K.; Grant, S.; Brain, R.A. 2018: Modeling the effects of thiamethoxam on Midwestern farm ponds and emergent wetlands. Environmental Toxicology and Chemistry 37(3): 738-754

Ferreri, L.; Perazzo, S.; Venturino, E.; Giacobini, M.; Bertolotti, L.; Mannelli, A. 2017: Modeling the effects of variable feeding patterns of larval ticks on the transmission of Borrelia lusitaniae and Borrelia afzelii. Theoretical Population Biology 116: 27-32

Lin, J.-T.; Cheng, D.-C. 2017: Modeling the efficacy profiles of UV-light activated corneal collagen crosslinking. Plos one 12(4): E0175002

Solis-Céspedes, E.; Páez-Hernández, D.án. 2017: Modeling the electronic states and magnetic properties derived from the f1 configuration in lanthanocene and actinocene compounds. Dalton Transactions 46(14): 4834-4843

Liu, J-I.; Paode, R.D.; Holsen, T.M. 1996: Modeling the Energy Content of Municipal Solid Waste Using Multiple Regression Analysis. Journal of the Air and Waste Management Association 46(7): 650-656

Casals, L.ís.; Mir, B.; Vidal, R.; Gomez, C. 2017: Modeling the Energy Performance of LoRaWAN. Sensors 17(10)

Johnson, T.L.; Haque, U.; Monaghan, A.J.; Eisen, L.; Hahn, M.B.; Hayden, M.H.; Savage, H.M.; McAllister, J.; Mutebi, J.-P.; Eisen, R.J. 2017: Modeling the Environmental Suitability for Aedes (Stegomyia) aegypti and Aedes (Stegomyia) albopictus (Diptera: Culicidae) in the Contiguous United States. Journal of Medical Entomology 54(6): 1605-1614

Kracalik, I.T.; Kenu, E.; Ayamdooh, E.N.; Allegye-Cudjoe, E.; Polkuu, P.N.; Frimpong, J.A.; Nyarko, K.M.; Bower, W.A.; Traxler, R.; Blackburn, J.K. 2017: Modeling the environmental suitability of anthrax in Ghana and estimating populations at risk: Implications for vaccination and control. Plos Neglected Tropical Diseases 11(10): E0005885

Estes, C.; Razavi, H.; Loomba, R.; Younossi, Z.; Sanyal, A.J. 2018: Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease. Hepatology 67(1): 123-133

Biagi, L.; Ramkissoon, C.M.; Facchinetti, A.; Leal, Y.; Vehi, J. 2017: Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor. Sensors 17(6)

Hall, D.W.; Dawe, R.K. 2018: Modeling the Evolution of Female Meiotic Drive in Maize. G3 8(1): 123-130

Schmitt, K.; Mohan Kumar, D.; Curlin, J.; Remling-Mulder, L.; Stenglein, M.; O'Connor, S.; Marx, P.; Akkina, R. 2017: Modeling the evolution of SIV sooty mangabey progenitor virus towards HIV-2 using humanized mice. Virology 510: 175-184

Petit, P.; Maître, A.; Persoons, R.; Bicout, D.J. 2017: Modeling the exposure functions of atmospheric polycyclic aromatic hydrocarbon mixtures in occupational environments. Science of the Total Environment 584-585: 1185-1197

Zhao, X.; Lung, W.-S. 2017: Modeling the fate and transport of 17β-estradiol in the South River watershed in Virginia. Chemosphere 186: 780-789

Wang, X.; Zou, X. 2017: Modeling the Fear Effect in Predator-Prey Interactions with Adaptive Avoidance of Predators. Bulletin of Mathematical Biology 79(6): 1325-1359

Barman-Aksözen, J.; C Wiek, P.; Bansode, V.B.; Koentgen, F.; Trüb, J.; Pelczar, P.; Cinelli, P.; Schneider-Yin, X.; Schümperli, D.; Minder, E.I. 2017: Modeling the ferrochelatase c.315-48C modifier mutation for erythropoietic protoporphyria (EPP) in mice. Disease Models and Mechanisms 10(3): 225-233

Connolly, M.P.; Kotsopoulos, N.; Ustianowski, A. 2018: Modeling the fiscal costs and benefits of alternative treatment strategies in the United Kingdom for chronic hepatitis C. Journal of Medical Economics 21(1): 19-26

Martínez-Rincón, R.úl.O.; Rivera-Pérez, C.; Diambra, L.; Noriega, F.G. 2017: Modeling the flux of metabolites in the juvenile hormone biosynthesis pathway using generalized additive models and ordinary differential equations. Plos one 12(2): E0171516

Su, L.; Li, W.; Wu, M.; Su, Y.; Guo, C.; Ruan, N.; Yang, B.; Yan, F. 2017: Modeling the focusing efficiency of lobster-eye optics for image shifting depending on the soft x-ray wavelength. Applied Optics 56(22): 6267-6271

Liu, X.; Liu, L.; Hu, J.; Du, S. 2017: Modeling the Footprint and Equivalent Radiance Transfer Path Length for Tower-Based Hemispherical Observations of Chlorophyll Fluorescence. Sensors 17(5)

Chen, M.; Dixon, D.A. 2017: Modeling the formation of TiO 2 ultra-small nanoparticles. Nanoscale 9(21): 7143-7162

Mahmoodkhani, Y.; Wells, M.; Parson, N.; Jowett, C.; Poole, W. 2014: Modeling the Formation of Transverse Weld during Billet-on-Billet Extrusion. Materials 7(5): 3470-3480

Stierstorfer, K. 2018: Modeling the frequency-dependent detective quantum efficiency of photon-counting x-ray detectors. Medical Physics 45(1): 156-166

Shamshery, P.; Wang, R-Qian.; Tran, D.V.; Winter V, A.G. 2017: Modeling the future of irrigation: A parametric description of pressure compensating drip irrigation emitter performance. Plos one 12(4): E0175241

David, P. 1997: Modeling the Genetic Basis of Heterosis: Tests of Alternative Hypotheses. Evolution; International Journal of Organic Evolution 51(4): 1049-1057

Calatayud, C.; Carola, G.; Consiglio, A.; Raya, A. 2017: Modeling the genetic complexity of Parkinson's disease by targeted genome edition in iPS cells. Current Opinion in Genetics and Development 46: 123-131

Yu, L.; Lu, M.; Jia, D.; Ma, J.; Ben-Jacob, E.; Levine, H.; Kaipparettu, B.A.; Onuchic, J.é N. 2017: Modeling the Genetic Regulation of Cancer Metabolism: Interplay between Glycolysis and Oxidative Phosphorylation. Cancer Research 77(7): 1564-1574

Bekoe, C.; Pansombut, T.; Riyapan, P.; Kakchapati, S.; Phon-On, A. 2017: Modeling the Geographic Consequence and Pattern of Dengue Fever Transmission in Thailand. Journal of Research in Health Sciences 17(2): E00378

Romagnani, P.; Lasagni, L. 2017: Modeling the Glomerular Filtration Barrier: Are you Kidney-ing Me?. Cell Stem Cell 21(1): 7-9

Amara, H.; Bichara, C. 2017: Modeling the Growth of Single-Wall Carbon Nanotubes. Topics in Current Chemistry 375(3): 55

Lang, E.; Chemlal, L.; Molin, P.; Guyot, S.ép.; Alvarez-Martin, P.; Perrier-Cornet, J.-M.; Dantigny, P.; Gervais, P. 2017: Modeling the heat inactivation of foodborne pathogens in milk powder: High relevance of the substrate water activity. Food Research International 99(Part 1): 577-585

Van Effelterre, T.; Guignard, A.; Marano, C.; Rojas, R.; Jacobsen, K.H. 2017: Modeling the hepatitis A epidemiological transition in Brazil and Mexico. Human Vaccines and Immunotherapeutics 13(8): 1942-1951

Ahmed, M.; Jalily Hasani, H.; Ganesan, A.; Houghton, M.; Barakat, K. 2017: Modeling the human Nav1.5 sodium channel: structural and mechanistic insights of ion permeation and drug blockade. Drug Design Development and Therapy 11: 2301-2324

Dugnani, E.; Pasquale, V.; Liberati, D.; Citro, A.; Cantarelli, E.; Pellegrini, S.; Marra, P.; Canu, T.; Balzano, G.; Scavini, M.; Esposito, A.; Doglioni, C.; Piemonti, L. 2017: Modeling the Iatrogenic Pancreatic Cancer Risk After Islet Autotransplantation in Mouse. American Journal of Transplantation: Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons 17(10): 2720-2727

López, Y.; Vandenbon, A.; Nose, A.; Nakai, K. 2017: Modeling the cis-regulatory modules of genes expressed in developmental stages of Drosophila melanogaster. Peerj 5: E3389

Mehra, M.; Kambili, C.; Potluri, R.; Rhines, A.; Singh, V.; Thomas, A. 2017: Modeling the impact of bedaquiline treatment strategies on the multidrug-resistant tuberculosis burden in India. International Journal of Tuberculosis and Lung Disease: the Official Journal of the International Union Against Tuberculosis and Lung Disease 21(8): 902-909

Gimba, B.; Bala, S.I. 2017: Modeling the Impact of Bed-Net use and Treatment on Malaria Transmission Dynamics. International Scholarly Research Notices 2017: 6182492

Béchet, Q.; Laviale, M.; Arsapin, N.; Bonnefond, H.; Bernard, O. 2017: Modeling the impact of high temperatures on microalgal viability and photosynthetic activity. Biotechnology for Biofuels 10: 136

Rivers, C.M.; Lofgren, E.T.; Marathe, M.; Eubank, S.; Lewis, B.L. 2014: Modeling the impact of interventions on an epidemic of ebola in sierra leone and liberia. Plos Currents 6

Paleti, R.; Sahin, O.; Cetin, M. 2017: Modeling the impact of latent driving patterns on traffic safety using mobile sensor data. Accident; Analysis and Prevention 107: 92-101

Dorman, E.; Perry, B.; Polis, C.B.; Campo-Engelstein, L.; Shattuck, D.; Hamlin, A.; Aiken, A.; Trussell, J.; Sokal, D. 2018: Modeling the impact of novel male contraceptive methods on reductions in unintended pregnancies in Nigeria, South Africa, and the United States. Contraception 97(1): 62-69

Heidkamp, R.; Clermont, A.; Phillips, E. 2017: Modeling the Impact of Nutrition Interventions on Birth Outcomes in the Lives Saved Tool (LiST). Journal of Nutrition 147(11): 2188s-2193s

Gingras, D.; Dutilleul, P.; Boivin, G. 2002: Modeling the impact of plant structure on host-finding behavior of parasitoids. Oecologia 130(3): 396-402

Mountris, K.A.; Bert, J.; Noailly, J.; Aguilera, A.R.; Valeri, A.; Pradier, O.; Schick, U.; Promayon, E.; Ballester, M.A.G.; Troccaz, J.; Visvikis, D. 2017: Modeling the impact of prostate edema on LDR brachytherapy: a Monte Carlo dosimetry study based on a 3D biphasic finite element biomechanical model. Physics in Medicine and Biology 62(6): 2087-2102

Liu, Y.; Ying, Z.; Wang, S.; Liao, J.; Lu, H.; Ma, L.; Li, Z. 2017: Modeling the impact of reproductive mode on masting. Ecology and Evolution 7(16): 6284-6291

McCarthy, E.; Joseph, J.; Foster, G.; Mangwiro, A.-Z.; Mwapasa, V.; Oyeledun, B.; Phiri, S.; Sam-Agudu, N.A.; Essajee, S. 2017: Modeling the Impact of Retention Interventions on Mother-to-Child Transmission of HIV: Results from INSPIRE Studies in Malawi, Nigeria, and Zimbabwe. Journal of Acquired Immune Deficiency Syndromes 75(Suppl 2): S233-S239

Barbulescu, A. 2017: Modeling the impact of the human activity, behavior and decisions on the environment. Marketing and green consumer (Special Issue). Journal of environmental management 204(Pt 3): 813

Zhai, S.; Song, G.; Qin, Y.; Ye, X.; Lee, J. 2017: Modeling the impacts of climate change and technical progress on the wheat yield in inland China: An autoregressive distributed lag approach. Plos one 12(9): E0184474

McGilliard, C.R.; Punt, A.é E.; Hilborn, R.; Essington, T. 2017: Modeling the impacts of two age-related portfolio effects on recruitment variability with and without a marine reserve. Ecological Applications: a Publication of the Ecological Society of America 27(7): 1985-2000

Liu, J.; Ciucci, F. 2017: Modeling the impedance spectra of mixed conducting thin films with exposed and embedded current collectors. Physical Chemistry Chemical Physics: Pccp 19(38): 26310-26321

Habteyes, F.G.; Komari, S.Omid.; Nagle, A.S.; Klausner, A.P.; Heise, R.L.; Ratz, P.H.; Speich, J.E. 2017: Modeling the influence of acute changes in bladder elasticity on pressure and wall tension during filling. Journal of the Mechanical Behavior of Biomedical Materials 71: 192-200

Wu, D.; Binks, B.P.; Honciuc, A. 2018: Modeling the Interfacial Energy of Surfactant-Free Amphiphilic Janus Nanoparticles from Phase Inversion in Pickering Emulsions. Langmuir: the Acs Journal of Surfaces and Colloids 34(3): 1225-1233

Russo, F.B.; Freitas, B.C.; Pignatari, G.C.ção.; Fernandes, I.R.; Sebat, J.; Muotri, A.R.; Beltrão-Braga, P.C.B. 2018: Modeling the Interplay Between Neurons and Astrocytes in Autism Using Human Induced Pluripotent Stem Cells. Biological Psychiatry 83(7): 569-578

Klippel, A.; Myin-Germeys, I.; Chavez-Baldini, U.; Preacher, K.J.; Kempton, M.; Valmaggia, L.; Calem, M.; So, S.; Beards, S.; Hubbard, K.; Gayer-Anderson, C.; Onyejiaka, A.; Wichers, M.; McGuire, P.; Murray, R.; Garety, P.; van Os, J.; Wykes, T.; Morgan, C.; Reininghaus, U. 2017: Modeling the Interplay Between Psychological Processes and Adverse, Stressful Contexts and Experiences in Pathways to Psychosis: An Experience Sampling Study. Schizophrenia Bulletin 43(2): 302-315

Gurung, A.; Levy, J.I.; Bell, M.L. 2017: Modeling the intraurban variation in nitrogen dioxide in urban areas in Kathmandu Valley, Nepal. Environmental Research 155: 42-48

Ala-Aho, P.; Tetzlaff, D.; McNamara, J.P.; Laudon, H.; Kormos, P.; Soulsby, C. 2017: Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach. Water Resources Research 53(7): 5813-5830

Khorashadizadeh, M.; Atashi, H. 2017: Modeling the kinetics of cobalt Fischer-Tropsch catalyst deactivation trends through an innovative modified Weibull distribution. Physical Chemistry Chemical Physics: Pccp 19(29): 19252-19261

Welch, R.D.; Ellis, M.; Lewis, L.M.; Ayaz, S.I.; Mika, V.H.; Millis, S.; Papa, L. 2017: Modeling the Kinetics of Serum Glial Fibrillary Acidic Protein, Ubiquitin Carboxyl-Terminal Hydrolase-L1, and S100B Concentrations in Patients with Traumatic Brain Injury. Journal of Neurotrauma 34(11): 1957-1971

Nichols, W.W. 2017: Modeling the Kinetics of the Permeation of Antibacterial Agents into Growing Bacteria and its Interplay with Efflux. Antimicrobial Agents and ChemoTherapy 61(10)

Zhang, Y.; Tang, L.; Liu, X.; Liu, L.; Cao, W.; Zhu, Y. 2017: Modeling the leaf angle dynamics in rice plant. Plos one 12(2): E0171890

Zhu, T.; Luo, L.; Zhang, X.; Shen, W. 2018: Modeling the Length of Stay of Respiratory Patients in Emergency Department Using Coxian Phase-Type Distributions With Covariates. IEEE Journal of Biomedical and Health Informatics 22(3): 955-965

Lyu, H.; Lazár, D.ša. 2017: Modeling the light-induced electric potential difference ΔΨ across the thylakoid membrane based on the transition state rate theory. Biochimica et Biophysica Acta. Bioenergetics 1858(3): 239-248

Kukielka, E.Andrea.; Martínez-López, B.; Beltrán-Alcrudo, D. 2017: Modeling the live-pig trade network in Georgia: Implications for disease prevention and control. Plos one 12(6): E0178904

Agoston, D.V. 2017: Modeling the Long-Term Consequences of Repeated Blast-Induced Mild Traumatic Brain Injuries. Journal of Neurotrauma 34(S1): S44-S52

Hunt, B.; Glah, D.; van der Vliet, M. 2017: Modeling the Long-Term Cost-Effectiveness of IDegLira in Patients with Type 2 Diabetes who are Failing to Meet Glycemic Targets on Basal Insulin Alone in the Netherlands. Diabetes Therapy: Research Treatment and Education of Diabetes and Related Disorders 8(4): 753-765

Gajamannage, K.; Bollt, E.M.; Porter, M.A.; Dawkins, M.S. 2017: Modeling the lowest-cost splitting of a herd of cows by optimizing a cost function. Chaos 27(6): 063114

Weber, F. 2017: Modeling the mammalian sleep cycle. Current Opinion in Neurobiology 46: 68-75

Beltrán-Heredia, E.; Almendro-Vedia, Víctor.G.; Monroy, F.; Cao, F.J. 2017: Modeling the Mechanics of Cell Division: Influence of Spontaneous Membrane Curvature, Surface Tension, and Osmotic Pressure. Frontiers in Physiology 8: 312

McKiernan, K.A.; Husic, B.E.; Pande, V.S. 2017: Modeling the mechanism of CLN025 beta-hairpin formation. Journal of Chemical Physics 147(10): 104107

Verma, M.; Erwin, S.; Abedi, V.; Hontecillas, R.; Hoops, S.; Leber, A.; Bassaganya-Riera, J.; Ciupe, S.M. 2017: Modeling the Mechanisms by Which HIV-Associated Immunosuppression Influences HPV Persistence at the Oral Mucosa. Plos one 12(1): E0168133

Cunningham, C.E.; Zipursky, R.B.; Christensen, B.K.; Bieling, P.J.; Madsen, V.; Rimas, H.; Mielko, S.; Wilson, F.; Furimsky, I.; Jeffs, L.; Munn, C. 2017: Modeling the mental health service utilization decisions of university undergraduates: A discrete choice conjoint experiment. Journal of American College Health: J of Ach 65(6): 389-399

Koch, I.; Nöthen, J.; Schleiff, E. 2017: Modeling the Metabolism of Arabidopsis thaliana: Application of Network Decomposition and Network Reduction in the Context of Petri Nets. Frontiers in Genetics 8: 85

Alfinito, E.; Reggiani, L.; Cataldo, R.; De Nunzio, G.; Giotta, L.; Guascito, M.R. 2017: Modeling the microscopic electrical properties of thrombin binding aptamer (TBA) for label-free biosensors. Nanotechnology 28(6): 065502

Zhou, W.; Yu, H.; Peng, B.; Shen, H.; He, X.; Su, W. 2013: Modeling the Microstructure Curvature of Boron-Doped Silicon in Bulk Micromachined Accelerometer. Materials 6(1): 244-254

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Caccavo, D.; Barba, A.A.; d'Amore, M.; De Piano, R.; Lamberti, G.; Rossi, A.; Colombo, P. 2017: Modeling the modified drug release from curved shape drug delivery systems - Dome Matrix®. European Journal of Pharmaceutics and Biopharmaceutics: Official Journal of Arbeitsgemeinschaft für Pharmazeutische Verfahrenstechnik E.V 121: 24-31

Rougeux, C.ém.; Bernatchez, L.; Gagnaire, P.-A. 2017: Modeling the Multiple Facets of Speciation-with-Gene-Flow toward Inferring the Divergence History of Lake Whitefish Species Pairs (Coregonus clupeaformis). Genome Biology and Evolution 9(8): 2057-2074

Nevin, Z.S.; Factor, D.C.; Karl, R.T.; Douvaras, P.; Laukka, J.; Windrem, M.S.; Goldman, S.A.; Fossati, V.; Hobson, G.M.; Tesar, P.J. 2017: Modeling the Mutational and Phenotypic Landscapes of Pelizaeus-Merzbacher Disease with Human iPSC-Derived Oligodendrocytes. American Journal of Human Genetics 100(4): 617-634

Chandra, S.; Hathcock, D.; Crain, K.; Antonsen, T.M.; Girvan, M.; Ott, E. 2017: Modeling the network dynamics of pulse-coupled neurons. Chaos 27(3): 033102

Kusaba, A.; Li, G.; von Spakovsky, M.R.; Kangawa, Y.; Kakimoto, K. 2017: Modeling the Non-Equilibrium Process of the Chemical Adsorption of Ammonia on GaN(0001) Reconstructed Surfaces Based on Steepest-Entropy-Ascent Quantum Thermodynamics. Materials 10(8)

Swansbury, L.A.; Mountjoy, G.; Chen, X.; Karpukhina, N.; Hill, R. 2017: Modeling the Onset of Phase Separation in CaO-SiO2-CaCl2 Chlorine-Containing Silicate Glasses. Journal of Physical Chemistry. B 121(22): 5647-5653

Cheng, Y.; Wang, X.; Pan, Q.; He, M. 2017: Modeling the Parasitic Filariasis Spread by Mosquito in Periodic Environment. Computational and Mathematical Methods in Medicine 2017: 4567452

Galindo, G.E.; Peterson, S.D.; Erath, B.D.; Castro, C.; Hillman, R.E.; Zañartu, Mías. 2017: Modeling the Pathophysiology of Phonotraumatic Vocal Hyperfunction With a Triangular Glottal Model of the Vocal Folds. Journal of Speech Language and Hearing Research: Jslhr 60(9): 2452-2471

Tesfaye, A.; Fiseha, D.; Assefa, D.; Klinkenberg, E.; Balanco, S.; Langley, I. 2017: Modeling the patient and health system impacts of alternative xpert® MTB/RIF algorithms for the diagnosis of pulmonary tuberculosis in Addis Ababa, Ethiopia. Bmc Infectious Diseases 17(1): 318

Cardier, B.; Goranson, H.T.; Casas, N.; Lundberg, P.; Erioli, A.; Takaki, R.; Nagy, D.én.; Ciavarra, R.; Sanford, L.D. 2017: Modeling the peak of emergence in systems: Design and katachi. Progress in Biophysics and Molecular Biology 131: 213-241

Mendonça, C.; Mandelli, P.; Pulkki, V. 2016: Modeling the Perception of Audiovisual Distance: Bayesian Causal Inference and other Models. Plos one 11(12): E0165391

Futscher, M.H.; Ehrler, B. 2017: Modeling the Performance Limitations and Prospects of Perovskite/Si Tandem Solar Cells under Realistic Operating Conditions. Acs Energy Letters 2(9): 2089-2095

Khalf, A.; Madihally, S.V. 2017: Modeling the permeability of multiaxial electrospun poly(ε-caprolactone)-gelatin hybrid fibers for controlled doxycycline release. Materials Science and Engineering. C Materials for Biological Applications 76: 161-170

Gupta, S.; Basant, N. 2017: Modeling the pH and temperature dependence of aqueousphase hydroxyl radical reaction rate constants of organic micropollutants using QSPR approach. Environmental Science and Pollution Research International 24(32): 24936-24946

Lu, X.; Yin, Z.; Sobotka, D.; Wisniewski, K.; Czerwionka, K.; Xie, L.; Zhou, Q.; Makinia, J. 2017: Modeling the pH effects on nitrogen removal in the anammox-enriched granular sludge. Water Science and Technology: a Journal of the International Association on Water Pollution Research 75(2): 378-386

Zhang, Q.-J.; Li, J.-J.; Lin, X.; Lu, Y.-Q.; Guo, X.-X.; Dong, E.-L.; Zhao, M.; He, J.; Wang, N.; Chen, W.-J. 2017: Modeling the phenotype of spinal muscular atrophy by the direct conversion of human fibroblasts to motor neurons. Oncotarget 8(7): 10945-10953

Escudero, D.; Duchemin, I.; Blase, X.; Jacquemin, D. 2017: Modeling the Photochrome-TiO2 Interface with Bethe-Salpeter and Time-Dependent Density Functional Theory Methods. Journal of Physical Chemistry Letters 8(5): 936-940

Curutchet, A.; Le Bahers, T. 2017: Modeling the Photochromism of S-Doped Sodalites Using DFT, TD-DFT, and SAC-Ci Methods. Inorganic Chemistry 56(1): 414-423

De Caluwé, J.ël.; de Melo, J.é R.ár.F.; Tosenberger, A.; Hermans, C.; Verbruggen, N.; Leloup, J.-C.; Gonze, D. 2017: Modeling the photoperiodic entrainment of the plant circadian clock. Journal of Theoretical Biology 420: 220-231

Lin, Z.; Chen, X.; Ding, P.; Qiu, W.; Pu, J. 2017: Modeling the ponderomotive interaction of high-power laser beams with collisional plasma: the FDTD-based approach. Optics Express 25(7): 8440-8449

McCarthy, M.L.; Wallace, D.; Whiteman, H.H.; Rheingold, E.T.; Dunham, A.M.; Prosper, O.; Chen, M.; Hu-Wang, E. 2017: Modeling the population dynamics and community impacts of Ambystoma tigrinum: a case study of phenotype plasticity. Mathematical Biosciences 288: 35-45

Maniya, O.Z.; Mather, R.C.; Attarian, D.E.; Mistry, B.; Chopra, A.; Strickland, M.; Schulman, K.A. 2017: Modeling the Potential Economic Impact of the Medicare Comprehensive Care for Joint Replacement Episode-Based Payment Model. Journal of Arthroplasty 32(11): 3268-3273.E4

Bornstein, K.; Hungerford, L.; Hartley, D.; Sorkin, J.D.; Tapia, M.D.; Sow, S.O.; Onwuchekwa, U.; Simon, R.; Tennant, S.M.; Levine, M.M. 2017: Modeling the Potential for Vaccination to Diminish the Burden of Invasive Non-typhoidal Salmonella Disease in Young Children in Mali, West Africa. Plos Neglected Tropical Diseases 11(2): E0005283

Herrick, T.; Harner-Jay, C.; Shaffer, C.; Zwisler, G.; Digre, P.; Batson, A. 2017: Modeling the potential impact of emerging innovations on achievement of Sustainable Development Goals related to maternal, newborn, and child health. Cost Effectiveness and Resource Allocation: C/E 15: 12

Simonetti, A.; Ezzeldin, H.; Menis, M.; McKean, S.; Izurieta, H.; Anderson, S.A.; Forshee, R.A. 2017: Modeling the potential impact on the US blood supply of transfusing critically ill patients with fresher stored red blood cells. Plos one 12(3): E0174033

Saucedo-Reyes, D.; Carrillo-Salazar, Jé.A.; Román-Padilla, L.; Saucedo-Veloz, C.; Reyes-Santamaría, Mía.I.; Ramírez-Gilly, M.; Tecante, A. 2018: Modeling the pressure inactivation of Escherichia coli and Salmonella typhimurium in sapote mamey ( Pouteria sapota (Jacq.) H.E. Moore & Stearn) pulp. Food Science and Technology International 24(2): 117-131

Bover-Cid, S.; Belletti, N.; Aymerich, T.; Garriga, M. 2015: Modeling the protective effect of a w and fat content on the high pressure resistance of Listeria monocytogenes in dry-cured ham. Food Research International 75: 194-199

Albert, D.A.; Aksentijevich, S.; Hurst, S.; Fries, J.F.; Wolfe, F. 2000: Modeling therapeutic strategies in rheumatoid arthritis: use of decision analysis and Markov models. Journal of Rheumatology 27(3): 644-652

Dréan, A.; Williamson, C.T.; Brough, R.; Brandsma, I.; Menon, M.; Konde, A.; Garcia-Murillas, I.; Pemberton, H.N.; Frankum, J.; Rafiq, R.; Badham, N.; Campbell, J.; Gulati, A.; Turner, N.C.; Pettitt, S.J.; Ashworth, A.; Lord, C.J. 2017: Modeling Therapy Resistance in BRCA1/2-Mutant Cancers. Molecular Cancer Therapeutics 16(9): 2022-2034

Charych, D.; Khalili, S.; Dixit, V.; Kirk, P.; Chang, T.; Langowski, J.; Rubas, W.; Doberstein, S.K.; Eldon, M.; Hoch, U.; Zalevsky, J. 2017: Modeling the receptor pharmacology, pharmacokinetics, and pharmacodynamics of NKTR-214, a kinetically-controlled interleukin-2 (IL2) receptor agonist for cancer immunotherapy. Plos one 12(7): E0179431

Partridge, G.P.; Lehman, D.M.; Huebner, R.Scott. 1999: Modeling the Reduction of Vapor Phase Emissions from Surface Soils Due to Soil Matrix Effects: Porosity/Tortuosity Concepts. Journal of the Air and Waste Management Association 49(4): 412-423

Zahoor, H.; Chan, A.P.C.; Utama, W.P.; Gao, R.; Zafar, I. 2017: Modeling the Relationship between Safety Climate and Safety Performance in a Developing Construction Industry: a Cross-Cultural Validation Study. International Journal of Environmental Research and Public Health 14(4)

Kompaniyets, L.; Evans, M.A. 2017: Modeling the relationship between wolf control and cattle depredation. Plos one 12(10): E0187264

Alosco, M.L.; Duskin, J.; Besser, L.M.; Martin, B.; Chaisson, C.E.; Gunstad, J.; Kowall, N.W.; McKee, A.C.; Stern, R.A.; Tripodis, Y. 2017: Modeling the Relationships Among Late-Life Body Mass Index, Cerebrovascular Disease, and Alzheimer's Disease Neuropathology in an Autopsy Sample of 1,421 Subjects from the National Alzheimer's Coordinating Center Data Set. Journal of Alzheimer's Disease: Jad 57(3): 953-968

Guidotti, R.; Chmielewski, H.; Unnikrishnan, V.; Gardoni, P.; McAllister, T.; van de Lindt, J. 2016: Modeling the resilience of critical infrastructure: the role of network dependencies. Sustainable and Resilient Infrastructure 1(3-4): 153-168

Lambertini, E.; Barouei, J.; Schaffner, D.W.; Danyluk, M.D.; Harris, L.J. 2017: Modeling the risk of salmonellosis from consumption of pistachios produced and consumed in the United States. Food Microbiology 67: 85-96

Ajakaye, O.G.; Adedeji, O.I.; Ajayi, P.O. 2017: Modeling the risk of transmission of schistosomiasis in Akure North Local Government Area of Ondo State, Nigeria using satellite derived environmental data. Plos Neglected Tropical Diseases 11(7): E0005733

Isern, N.; Zilhão, J.ão.; Fort, J.; Ammerman, A.J. 2017: Modeling the role of voyaging in the coastal spread of the Early Neolithic in the West Mediterranean. Proceedings of the National Academy of Sciences of the United States of America 114(5): 897-902

Castro, T.G.; Micaêlo, N.M.; Melle-Franco, M. 2017: Modeling the secondary structures of the peptaibols antiamoebin i and zervamicin Ii modified with D-amino acids and proline analogues. Journal of Molecular Modeling 23(11): 313

Wu, Q.-Y.; Tian, W.-d.; Ma, Y.-Q. 2017: Modeling the Self-Assembly of Bolaamphiphiles under Nanoconfinement by Coarse-Grained Molecular Dynamics. Journal of Physical Chemistry. B 121(38): 8984-8990

Ghosh, A.; Majumder, S.B. 2017: Modeling the sensing characteristics of chemi-resistive thin film semi-conducting gas sensors. Physical Chemistry Chemical Physics: Pccp 19(34): 23431-23443

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

Shepherd, J.A.; Ng, B.K.; Fan, B.; Schwartz, A.V.; Cawthon, P.; Cummings, S.R.; Kritchevsky, S.; Nevitt, M.; Santanasto, A.; Cootes, T.F. 2017: Modeling the shape and composition of the human body using dual energy X-ray absorptiometry images. PloS one 12(4): e0175857

Sandberg, A.; Fabiano, J. 2017: Modeling the Social Dynamics of Moral Enhancement: Social Strategies Sold Over the Counter and the Stability of Society. Cambridge quarterly of healthcare ethics: CQ: the international journal of healthcare ethics committees 26(3): 431-445

Hughes, K.; Fosgate, G.T.; Budke, C.M.; Ward, M.P.; Kerry, R.; Ingram, B. 2017: Modeling the spatial distribution of African buffalo (Syncerus caffer) in the Kruger National Park, South Africa. Plos one 12(9): E0182903

Amirpour Haredasht, S.; Polson, D.; Main, R.; Lee, K.; Holtkamp, D.; Martínez-López, B. 2017: Modeling the spatio-temporal dynamics of porcine reproductive and respiratory syndrome cases at farm level using geographical distance and pig trade network matrices. Bmc Veterinary Research 13(1): 163

Vittecoq, M.; Gauduin, H.; Oudart, T.; Bertrand, O.; Roche, B.; Guillemain, M.; Boutron, O. 2017: Modeling the spread of avian influenza viruses in aquatic reservoirs: a novel hydrodynamic approach applied to the Rhône delta (southern France). Science of the Total Environment 595: 787-800

Chamchod, F. 2018: Modeling the spread of capripoxvirus among livestock and optimal vaccination strategies. Journal of Theoretical Biology 437: 179-186

Badowski, C.; Sim, A.Y.L.; Verma, C.; Szeverényi, I.ó; Natesavelalar, C.; Terron-Kwiatkowski, A.; Harper, J.; O'Toole, E.A.; Lane, E.B. 2017: Modeling the Structure of Keratin 1 and 10 Terminal Domains and their Misassembly in Keratoderma. Journal of Investigative Dermatology 137(9): 1914-1923

Tseng, S.H. 2018: Modeling the sub-diffraction focusing phenomenon of light propagation through scattering medium. Methods 136: 75-80

Savran, D.; Pérez-Rodríguez, F.; Halkman, A.K. 2018: Modeling the survival of Salmonella Enteritidis and Salmonella Typhimurium during the fermentation of yogurt. Food Science and Technology International 24(2): 110-116

Leung, C.Y.J.; Weitz, J.S. 2017: Modeling the synergistic elimination of bacteria by phage and the innate immune system. Journal of Theoretical Biology 429: 241-252

Skovgård, H.; Nachman, G.ös. 2017: Modeling the Temperature- and Age-Dependent Survival, Development, and Oviposition Rates of Stable Flies (Stomoxys calcitrans) (Diptera: Muscidae). Environmental Entomology 46(5): 1130-1142

Yang, Y.; Chui, T.F.M.; Shen, P.P.; Yang, Y.; Gu, J.D. 2018: Modeling the temporal dynamics of intertidal benthic infauna biomass with environmental factors: Impact assessment of land reclamation. Science of the Total Environment 618: 439-450

Feld, S.I.; Cobian, A.G.; Tevis, S.E.; Kennedy, G.D.; Craven, M.W. 2016: Modeling the Temporal Evolution of Postoperative Complications. AMIA . Annual Symposium Proceedings. AMIA Symposium 2016: 551-559

Lu, M.-C.; Chang, C.-T.; Lin, T.-C.; Wang, L.-J.; Wang, C.-P.; Hsu, T.-C.; Huang, J.-C. 2017: Modeling the terrestrial N processes in a small mountain catchment through INCA-N: a case study in Taiwan. Science of the Total Environment 593-594: 319-329

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Hasan, M.F.; Vogt, F. 2017: Modeling the transformation of atmospheric CO2 into microalgal biomass. Analyst 142(21): 4089-4098

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Thompson, K.M.; Badizadegan, N.D. 2017: Modeling the Transmission of Measles and Rubella to Support Global Management Policy Analyses and Eradication Investment Cases. Risk Analysis: An Official Publication of the Society for Risk Analysis 37(6): 1109-1131

Song, B.; Xu, P.; Zeng, G.; Gong, J.; Wang, X.; Yan, J.; Wang, S.; Zhang, P.; Cao, W.; Ye, S. 2018: Modeling the transport of sodium dodecyl benzene sulfonate in riverine sediment in the presence of multi-walled carbon nanotubes. Water Research 129: 20-28

Pinto, L.; Mateus, M.; Silva, A. 2016: Modeling the transport pathways of harmful algal blooms in the Iberian coast. Harmful Algae 53: 8-16

Ahmadzadeh, H.; Webster, M.R.; Behera, R.; Jimenez Valencia, A.M.; Wirtz, D.; Weeraratna, A.T.; Shenoy, V.B. 2017: Modeling the two-way feedback between contractility and matrix realignment reveals a nonlinear mode of cancer cell invasion. Proceedings of the National Academy of Sciences of the United States of America 114(9): E1617-E1626

Wang, X.; Wang, J. 2017: Modeling the within-host dynamics of cholera: bacterial-viral interaction. Journal of Biological Dynamics 11(Sup2): 484-501

Li, X.-M.; Liu, J.; Pan, F.-F.; Yang, P.-L. 2018: Effect of quality control on the antiproliferative activity of the extract from Portulaca oleracea L. in Aspergillus flavus. Biomedical Chromatography: Bmc 32(12): E4354

Hosseinzadegan, H.; Tafti, D.K. 2017: Modeling thrombus formation and growth. Biotechnology and Bioengineering 114(10): 2154-2172

Bortolato, M.; Pittenger, C. 2017: Modeling tics in rodents: Conceptual challenges and paths forward. Journal of Neuroscience Methods 292: 12-19

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Alnaggar, M.; Di Luzio, G.; Cusatis, G. 2017: Modeling Time-Dependent Behavior of Concrete Affected by Alkali Silica Reaction in Variable Environmental Conditions. Materials 10(5)

McNamee, L.M.; Ledley, F.D. 2017: Modeling timelines for translational science in cancer; the impact of technological maturation. Plos one 12(3): E0174538

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Lott, D.; Lehr, T.; Dingemanse, J.; Krause, A. 2018: Modeling Tolerance Development for the Effect on Heart Rate of the Selective S1P1 Receptor Modulator Ponesimod. Clinical Pharmacology and Therapeutics 103(6): 1083-1092

Martin, D.; Gonzalvez, A.G.; Medina, R.M.; González Ureña, A. 2017: Modeling Tomato Ripening Based on Carotenoid Raman Spectroscopy: Experimental Versus Kinetic Model. Applied Spectroscopy 71(6): 1310-1320

Fairweather-Tait, S.J.; Jennings, A.; Harvey, L.J.; Berry, R.; Walton, J.; Dainty, J.R. 2017: Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults. American Journal of Clinical Nutrition 105(6): 1408-1414

Rainisch, G.; Meltzer, M.I.; Shadomy, S.; Bower, W.A.; Hupert, N. 2017: Modeling Tool for Decision Support during Early Days of an Anthrax Event. Emerging Infectious Diseases 23(1): 46-55

Bish, D.R.; Tarhini, H.; Amara, R.; Zoraster, R.; Bosson, N.; Gausche-Hill, M. 2017: Modeling to Optimize Hospital Evacuation Planning in EMS Systems. Prehospital Emergency Care: Official Journal of the National Association of Ems Physicians and the National Association of State Ems Directors 21(4): 503-510

Laufer, S.; Pugh, C.M.; Van Veen, B.D. 2018: Modeling Touch and Palpation Using Autoregressive Models. IEEE Transactions on Bio-Medical Engineering 65(7): 1585-1594

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Karcher, M.; Hosseini, A.; Schnur, R.; Kauker, F.; Brown, J.E.; Dowdall, M.; Strand, P. 2017: Modelling dispersal of radioactive contaminants in Arctic waters as a result of potential recovery operations on the dumped submarine K-27. Marine Pollution Bulletin 116(1-2): 385-394

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Chen, C.C.M.; Bourne, D.G.; Drovandi, C.C.; Mengersen, K.; Willis, B.L.; Caley, M.J.; Sato, Y. 2017: Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora. Peerj 5: E3438

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Laguna, F.; Grillet, Mía.Eugenia.; León, Jé.R.; Ludeña, C. 2017: Modelling malaria incidence by an autoregressive distributed lag model with spatial component. Spatial and Spatio-Temporal Epidemiology 22: 27-37

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Esrael, D.; Kacem, M.; Benadda, B. 2017: Modelling mass transfer during venting/soil vapour extraction: Non-aqueous phase liquid/gas mass transfer coefficient estimation. Journal of Contaminant Hydrology 202: 70-79

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Roney, C.H.; Bayer, J.D.; Zahid, S.; Meo, M.; Boyle, P.M.J.; Trayanova, N.A.; Haïssaguerre, M.; Dubois, R.ém.; Cochet, H.; Vigmond, E.J. 2016: Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms. 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 18(Suppl 4): Iv146-Iv155

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De Jager, N.R.; Rohweder, J.J.; Miranda, B.R.; Sturtevant, B.R.; Fox, T.J.; Romanski, M.C. 2017: Modelling moose-forest interactions under different predation scenarios at Isle Royale National Park, USA. Ecological Applications: a Publication of the Ecological Society of America 27(4): 1317-1337

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Husain, A.A.; Gupta, U.D.; Gupta, P.; Nayak, A.R.; Chandak, N.H.; Daginawla, H.F.; Singh, L.; Kashyap, R.S. 2017: Modelling of cerebral tuberculosis in BALB/c mice using clinical strain from patients with CNS tuberculosis infection. Indian Journal of Medical Research 145(6): 833-839

Horbach, A.J.; Duong, M.T.; Staat, M. 2017: Modelling of compressible and orthotropic surgical mesh implants based on optical deformation measurement. Journal of the Mechanical Behavior of Biomedical Materials 74: 400-410

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Dutto, P.; Stickle, M.M.; Pastor, M.; Manzanal, D.; Yague, A.; Moussavi Tayyebi, S.; Lin, C.; Elizalde, M.D. 2017: Modelling of Fluidised Geomaterials: the Case of the Aberfan and the Gypsum Tailings Impoundment Flowslides. Materials 10(5)

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Zhao, H.; Yao, Z.; Chen, X.; Wang, X.; Chen, G.-Q. 2017: Modelling of microbial polyhydroxyalkanoate surface binding protein PhaP for rational mutagenesis. Microbial Biotechnology 10(6): 1400-1411

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Złoch, Mł.; Kowalkowski, T.; Tyburski, Jław.; Hrynkiewicz, K. 2017: Modeling of phytoextraction efficiency of microbially stimulated Salix dasyclados L. in the soils with different speciation of heavy metals. International Journal of Phytoremediation 19(12): 1150-1164

Kalicka, R.; Mazur, K.; Wolf, J.; Frydrychowski, A.F.; Narkiewicz, K.; Winklewski, P.J. 2017: Modelling of subarachnoid space width changes in apnoea resulting as a function of blood flow parameters. Microvascular Research 113: 16-21

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Jackson, R.C.; Di Veroli, G.Y.; Koh, S.-B.; Goldlust, I.; Richards, F.M.; Jodrell, D.I. 2017: Modelling of the cancer cell cycle as a tool for rational drug development: a systems pharmacology approach to cyclotherapy. Plos Computational Biology 13(5): E1005529

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Dutova, E.M.; Nikitenkov, A.N.; Pokrovskiy, V.D.; Banks, D.; Frengstad, B.ør.S.; Parnachev, V.P. 2017: Modelling of the dissolution and reprecipitation of uranium under oxidising conditions in the zone of shallow groundwater circulation. Journal of Environmental Radioactivity 178-179: 63-76

Mahn, A. 2017: Modelling of the effect of selenium fertilization on the content of bioactive compounds in broccoli heads. Food Chemistry 233: 492-499

Hou, Y.; Chen, W.; Liao, Y.; Luo, Y. 2017: Modelling of the estimated contributions of different sub-watersheds and sources to phosphorous export and loading from the Dongting Lake watershed, China. Environmental Monitoring and Assessment 189(12): 602

Chen, Y-Ju.; Lee, Y-I.; Chang, W-Cheng.; Hsiao, P-Jen.; You, J-Shian.; Wang, C-Chieh.; Wei, C-Min. 2017: Modelling of the material flow of Nd-Fe-B magnets under high temperature deformation via finite element simulation method. Science and Technology of Advanced Materials 18(1): 611-619

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Papadopoulos, K.P.; Gerotziafas, G.T.; Gavaises, M. 2017: Modelling of thrombin generation under flow in realistic left anterior descending geometries. Medical Engineering and Physics 50: 50-58

Lardner, R.; Zodiatis, G. 2017: Modelling oil plumes from subsurface spills. Marine Pollution Bulletin 124(1): 94-101

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Nikin-Beers, R.; Ciupe, S.M. 2018: Modelling original antigenic sin in dengue viral infection. Mathematical Medicine and Biology: a Journal of the Ima 35(2): 257-272

Chen, S.; Lee, C.Y.; Li, R.W.; Smith, P.N.; Qin, Q.H. 2017: Modelling osteoblast adhesion on surface-engineered biomaterials: optimisation of nanophase grain size. Computer Methods in Biomechanics and Biomedical Engineering 20(8): 905-914

Baroody, H.A.; Jerkiewicz, G.; Eikerling, M.H. 2017: Modelling oxide formation and growth on platinum. Journal of Chemical Physics 146(14): 144102

Gavin, A.L.; Watson, G.W. 2017: Modelling oxygen defects in orthorhombic LaMnO3 and its low index surfaces. Physical Chemistry Chemical Physics: Pccp 19(36): 24636-24646

Jiang, L.-M.; Garrido-Baserba, M.; Nolasco, D.; Al-Omari, A.; DeClippeleir, H.; Murthy, S.; Rosso, D. 2017: Modelling oxygen transfer using dynamic alpha factors. Water Research 124: 139-148

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Towriss, C.A.; Timæus, I.M. 2018: Modelling period fertility: Schooling and intervals following a birth in Eastern Africa. Population Studies 72(1): 75-90

Goold, C.; Newberry, R.C. 2017: Modelling personality, plasticity and predictability in shelter dogs. Royal Society Open Science 4(9): 170618

Houbraken, M.; Doan Ngoc, K.; van den Berg, F.; Spanoghe, P. 2017: Modelling pesticides volatilisation in greenhouses: Sensitivity analysis of a modified PEARL model. Science of the Total Environment 599-600: 1408-1416

Hansen, M.H.; Nilsson, A.; Rossmeisl, J. 2017: Modelling pH and potential in dynamic structures of the water/Pt(111) interface on the atomic scale. Physical Chemistry Chemical Physics: Pccp 19(34): 23505-23514

Bürgermeister, L.; Hermann, M.; Fehér, K.; Molano Lopez, C.; Pich, A.; Hannen, J.; Vogt, F.; Schulz, W. 2016: Modelling pH-Optimized Degradation of Microgel-Functionalized Polyesters. Journal of Healthcare Engineering 2016: 8125416

Galiot, L.; Lachance, I.; Laforest, J.-P.; Guay, F.éd.ér. 2018: Modelling piglet growth and mortality on commercial hog farms using variables describing individual animals, litters, sows and management factors. Animal Reproduction Science 188: 57-65

Stec, K.F.; Caputi, L.; Buttigieg, P.L.; D'Alelio, D.; Ibarbalz, F.M.; Sullivan, M.B.; Chaffron, S.; Bowler, C.; Ribera d'Alcalà, M.; Iudicone, D. 2017: Modelling plankton ecosystems in the meta-omics era. Are we ready?. Marine Genomics 32: 1-17

Bono, J.; Wilmes, K.A.; Clopath, C. 2017: Modelling plasticity in dendrites: from single cells to networks. Current Opinion in Neurobiology 46: 136-141

Liu, B.; Yan, H.; Stosch, R.; Wolfram, B.; Bröring, M.; Bakin, A.; Schilling, M.; Lemmens, P. 2017: Modelling plexcitons of periodic gold nanorod arrays with molecular components. Nanotechnology 28(19): 195201

Petranović, Z.; Bešenić, T.; Vujanović, M.; Duić, N. 2017: Modelling pollutant emissions in diesel engines, influence of biofuel on pollutant formation. Journal of Environmental Management 203(Part 3): 1038-1046

Boden, J.M.; Lee, J.Olivia.; Horwood, L.John.; Grest, C.Villamil.; McLeod, G.F.H. 2017: Modelling possible causality in the associations between unemployment, cannabis use, and alcohol misuse. Social Science and Medicine 175: 127-134

Watson, J.; Taylor, W.R.; Menard, D.; Kheng, S.; White, N.J. 2017: Modelling primaquine-induced haemolysis in G6PD deficiency. Elife 6

Bai, Y.; Guo, S.-D.; Shantsila, A.; Lip, G.Y.H. 2018: Modelling projections for the risks related with atrial fibrillation in East Asia: a focus on ischaemic stroke and death. 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 20(10): 1584-1590

Evans, C.E.; Palazon, A.; Sim, J.; Tyrakis, P.A.; Prodger, A.; Lu, X.; Chan, S.; Bendahl, P.är.-O.; Belting, M.; Von Euler, L.; Rundqvist, H.; Johnson, R.S.; Branco, C. 2017: Modelling pulmonary microthrombosis coupled to metastasis: distinct effects of thrombogenesis on tumorigenesis. Biology Open 6(5): 688-697

Eyassu, F.; Angione, C. 2017: Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism. Royal Society Open Science 4(10): 170360

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Selli, D.; Fazio, G.; Di Valentin, C. 2017: Modelling realistic TiO2 nanospheres: a benchmark study of SCC-DFTB against hybrid DFT. Journal of Chemical Physics 147(16): 164701

Thompson Brewster, E.; Jermakka, J.; Freguia, S.; Batstone, D.J. 2017: Modelling recovery of ammonium from urine by electro-concentration in a 3-chamber cell. Water Research 124: 210-218

Manem, V.S.K.; Dhawan, A. 2018: Modelling recurrence and second cancer risks induced by proton therapy. Mathematical Medicine and Biology: a Journal of the Ima 35(3): 347-361

Li, S.; Juhász-Horváth, L.; Pintér, L.ás.ó; Rounsevell, M.D.A.; Harrison, P.A. 2018: Modelling regional cropping patterns under scenarios of climate and socio-economic change in Hungary. Science of the Total Environment 622-623: 1611-1620

Convey, P. 1994: Modelling reproductive effort in sub-and maritime Antarctic mosses. Oecologia 100(1-2): 45-53

Straney, L.D.; Udy, A.A.; Burrell, A.; Bergmeir, C.; Huckson, S.; Cooper, D.J.; Pilcher, D.V. 2017: Modelling risk-adjusted variation in length of stay among Australian and New Zealand ICUs. Plos one 12(5): E0176570

Burgess, C.; Burgess, A.; McMullen, K. 2017: Modelling Risk to US Military Populations from Stopping Blanket Mandatory Polio Vaccination. Computational and Mathematical Methods in Medicine 2017: 7981645

Wei, L.; Peng, J.; Liu, W.; Wang, X.; Liu, F. 2017: Modelling saliency attention to predict eye direction by topological structure and earth mover's distance. Plos one 12(7): E0181543

Tandon, R.; Bruijnzeel, D.M. 2017: Modelling schizophrenia: Opportunities and challenges. Asian Journal of Psychiatry 25: A1

Froese, J.G.; Smith, C.S.; Durr, P.A.; McAlpine, C.A.; van Klinken, R.D. 2017: Modelling seasonal habitat suitability for wide-ranging species: Invasive wild pigs in northern Australia. Plos one 12(5): E0177018

Vigiak, O.; Malagó, A.; Bouraoui, F.ça.; Vanmaercke, M.; Obreja, F.; Poesen, J.; Habersack, H.; Fehér, J.án.; Grošelj, S. 2017: Modelling sediment fluxes in the Danube River Basin with SWAT. Science of the Total Environment 599-600: 992-1012

Fagbamigbe, A.F.; Lawal, A.M.; Idemudia, E.S. 2017: Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country. Sahara J: Journal of Social Aspects of Hiv/Aids Research Alliance 14(1): 140-152

Arashiro, L.T.; Rada-Ariza, A.M.; Wang, M.; van der Steen, P.; Ergas, S.J. 2017: Modelling shortcut nitrogen removal from wastewater using an algal-bacterial consortium. Water Science and Technology: a Journal of the International Association on Water Pollution Research 75(3-4): 782-792

Efthimiou, G.C.; Bartzis, J.G.; Berbekar, E.; Hertwig, D.; Harms, F.; Leitl, B. 2015: Modelling Short-Term Maximum Individual Exposure from Airborne Hazardous Releases in Urban Environments. Part ΙI: Validation of a Deterministic Model with Wind Tunnel Experimental Data. Toxics 3(3): 259-267

Rymszewicz, A.; Bruen, M.; O'Sullivan, J.J.; Turner, J.N.; Lawler, D.M.; Harrington, J.R.; Conroy, E.; Kelly-Quinn, M. 2018: Modelling spatial and temporal variations of annual suspended sediment yields from small agricultural catchments. Science of the Total Environment 619-620: 672-684

Velazco, J.G.; Rodríguez-Álvarez, M.ía.X.é; Boer, M.P.; Jordan, D.R.; Eilers, P.H.C.; Malosetti, M.; van Eeuwijk, F.A. 2017: Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model. TAG. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik 130(7): 1375-1392

Armah, F.A.; Paintsil, A.; Yawson, D.O.; Adu, M.O.; Odoi, J.O. 2017: Modelling spatio-temporal heterogeneities in groundwater quality in Ghana: a multivariate chemometric approach. Journal of Water and Health 15(4): 658-672

Blencowe, H.; Chou, V.B.; Lawn, J.E.; Bhutta, Z.A. 2017: Modelling stillbirth mortality reduction with the Lives Saved Tool. Bmc Public Health 17(Suppl 4): 784

Singh, N.; Rana, M.S.; Gupta, R.K. 2018: Modelling studies for photocatalytic degradation of organic dyes using TiO2 nanofibers. Environmental Science and Pollution Research International 25(21): 20466-20472

Cousens, S.; Perin, J.; Christian, P.; Wu, L.S.-F.; Soofi, S.; Bhutta, Z.; Lanata, C.; Guerrant, R.L.; Lima, A.A.M.; Mølbak, K.år.; Valentiner-Branth, P.; Checkley, W.; Gilman, R.H.; Sack, R.B.; Black, R.E.; Humphrey, J.; Walker, N. 2017: Modelling stunting in LiST: the effect of applying smoothing to linear growth data. Bmc Public Health 17(Suppl 4): 778

Enculescu, M.; Metzendorf, C.; Sparla, R.; Hahnel, M.; Bode, J.; Muckenthaler, M.U.; Legewie, S. 2017: Modelling Systemic Iron Regulation during Dietary Iron Overload and Acute Inflammation: Role of Hepcidin-Independent Mechanisms. Plos Computational Biology 13(1): E1005322

Vibert, J.; Thomas-Vaslin, V.ér. 2017: Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background. Plos Computational Biology 13(3): E1005417

Dammak, M.; Hadrich, B.; Barkallah, M.; Hentati, F.; Ben Hlima, H.; Pichon, C.; Denis, M.; Fendri, I.; Michaud, P.; Abdelkafi, S. 2018: Modelling Tetraselmis sp. growth-kinetics and optimizing bioactive-compound production through environmental conditions. Bioresource Technology 249: 510-518

Alkhaldy, I. 2017: Modelling the association of dengue fever cases with temperature and relative humidity in Jeddah, Saudi Arabia-A generalised linear model with break-point analysis. Acta Tropica 168: 9-15

Bretscher, M.T.; Griffin, J.T.; Ghani, A.C.; Okell, L.C. 2017: Modelling the benefits of long-acting or transmission-blocking drugs for reducing Plasmodium falciparum transmission by case management or by mass treatment. Malaria Journal 16(1): 341

Anonymous 2001: Modelling the Blood-Brain Barrier In Vitro. Journal of Physiology 531(Suppl): 7s-10s

Murgia, X.; Yasar, H.; Carvalho-Wodarz, C.; Loretz, B.; Gordon, S.; Schwarzkopf, K.; Schaefer, U.; Lehr, C-Michael. 2017: Modelling the bronchial barrier in pulmonary drug delivery: A human bronchial epithelial cell line supplemented with human tracheal mucus. European Journal of Pharmaceutics and Biopharmaceutics: Official Journal of Arbeitsgemeinschaft für Pharmazeutische Verfahrenstechnik E.V 118: 79-88

Meijerink, H.; White, R.A.; Løvlie, A.; de Blasio, B.Freiesleben.; Dalgard, O.; Amundsen, E.J.; Melum, E.; Kløvstad, H. 2017: Modelling the burden of hepatitis C infection among people who inject drugs in Norway, 1973-2030. BMC infectious diseases 17(1): 541

Myers, T.G.; Ribas Ripoll, V.; Sáez de Tejada Cuenca, A.; Mitchell, S.L.; McGuinness, M.J. 2017: Modelling the cardiovascular system for assessing the blood pressure curve. Mathematics-In-IndustryCaseStudies 8(1): 2

Nikčević, A.V.; Alma, L.; Marino, C.; Kolubinski, D.; Yılmaz-Samancı, A.E.; Caselli, G.; Spada, M.M. 2017: Modelling the contribution of negative affect, outcome expectancies and metacognitions to cigarette use and nicotine dependence. Addictive Behaviors 74: 82-89

Li, J.; Deng, L.; Jin, Z.; Yan, Y. 2017: Modelling the cooking doneness via integrating sensory evaluation and kinetics. Food Research International 92: 1-8

Virant, M.; Drvarič-Talian, S.; Podlipnik, Čr.; Hribar-Lee, B. 2017: Modelling the Correlation Between Molecular Electrostatic Potential and pKa on Sets of Carboxylic Acids, Phenols and Anilines. Acta Chimica Slovenica 64(3): 560-563

Awasthi, A.K.; Cucchiella, F.; D'Adamo, I.; Li, J.; Rosa, P.; Terzi, S.; Wei, G.; Zeng, X. 2018: Modelling the correlations of e-waste quantity with economic increase. Science of the Total Environment 613-614: 46-53

Kowalska, J.D.; Wójcik, G.; Rutkowski, J.; Ankiersztejn-Bartczak, M.; Siewaszewicz, E. 2017: Modelling the cost-effectiveness of HIV care shows a clear benefit when transmission risk is considered in the calculations - A message for Central and Eastern Europe. Plos one 12(11): E0186131

Winskill, P.; Walker, P.G.; Griffin, J.T.; Ghani, A.C. 2017: Modelling the cost-effectiveness of introducing the RTS,S malaria vaccine relative to scaling up other malaria interventions in sub-Saharan Africa. Bmj Global Health 2(1): E000090

Korman, M.; Wisløff, T.ør. 2018: Modelling the cost-effectiveness of PCSK9 inhibitors vs. ezetimibe through LDL-C reductions in a Norwegian setting. European Heart Journal. Cardiovascular PharmacoTherapy 4(1): 15-22

Nkonki, L.L.; Chola, L.L.; Tugendhaft, A.A.; Hofman, K.K. 2017: Modelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST). Bmj Open 7(8): E011425

Gálvez, R.; Musella, V.; Descalzo, M.A.; Montoya, A.; Checa, R.ío.; Marino, V.; Martín, O.; Cringoli, G.; Rinaldi, L.; Miró, G. 2017: Modelling the current distribution and predicted spread of the flea species Ctenocephalides felis infesting outdoor dogs in Spain. Parasites and Vectors 10(1): 428

Watson, O.J.; Slater, H.C.; Verity, R.; Parr, J.B.; Mwandagalirwa, M.K.; Tshefu, A.; Meshnick, S.R.; Ghani, A.C. 2017: Modelling the drivers of the spread of Plasmodium falciparum hrp2 gene deletions in sub-Saharan Africa. Elife 6

Luo, Z.; Baldock, J.; Wang, E. 2017: Modelling the dynamic physical protection of soil organic carbon: Insights into carbon predictions and explanation of the priming effect. Global Change Biology 23(12): 5273-5283

Jager, T.; Salaberria, I.; Altin, D.; Nordtug, T.; Hansen, Børn.Henrik. 2017: Modelling the dynamics of growth, development and lipid storage in the marine copepod Calanus finmarchicus. Marine Biology 164(1): 1

Kademi, H.I.; Baba, I.A.; Saad, F.T. 2017: Modelling the dynamics of toxicity associated with aflatoxins in foods and feeds. Toxicology Reports 4: 358-363

Kinyoki, D.K.; Manda, S.O.; Moloney, G.M.; Odundo, E.O.; Berkley, J.A.; Noor, A.M.; Kandala, N.-B. 2017: Modelling the Ecological Comorbidity of Acute Respiratory Infection, Diarrhoea and Stunting among Children Under the Age of 5 Years in Somalia. International Statistical Review 85(1): 164-176

Anastasiadi, M.; Lambert, R.J.W. 2017: Modelling the effect of combined antimicrobials: a base model for multiple-hurdles. International Journal of Food Microbiology 252: 10-17

Ramaraju, S.; Roula, M.A.; McCarthy, P.W. 2018: Modelling the effect of electrode displacement on transcranial direct current stimulation (tDCS). Journal of Neural Engineering 15(1): 016019

Xiang, H.; Zhu, C-Cheng.; Huo, H-Feng. 2017: Modelling the effect of immigration on drinking behaviour. Journal of Biological Dynamics 11(1): 275-298

Markon, M-Pierre.; Chiocchio, Fçois.; Fleury, M-Josée. 2017: Modelling the effect of perceived interdependence among mental healthcare professionals on their work role performance. Journal of Interprofessional Care 31(4): 520-528

Alonso, V.; Cavaglieri, L.; Ramos, A.J.; Torres, A.; Marin, S. 2017: Modelling the effect of pH and water activity in the growth of Aspergillus fumigatus isolated from corn silage. Journal of Applied Microbiology 122(4): 1048-1056

Davey, K.R.; Chandrakash, S. 2015: Modelling the effect of pH, sodium chloride and sodium pyrophosphate on the thermal resistance of Escherichia coli 0157:H7 in ground beef. Food Research International 75: 11-12

Symons, J.E.; Hawkins, D.A.; Fyhrie, D.P.; Upadhyaya, S.K.; Stover, S.M. 2017: Modelling the effect of race surface and racehorse limb parameters on in silico fetlock motion and propensity for injury. Equine Veterinary Journal 49(5): 681-687

Nguyen Van Long, N.; Rigalma, K.; Coroller, L.; Dadure, R.; Debaets, S.; Mounier, J.ér.ôm.; Vasseur, V.ér. 2017: Modelling the effect of water activity reduction by sodium chloride or glycerol on conidial germination and radial growth of filamentous fungi encountered in dairy foods. Food Microbiology 68: 7-15

Nilsson, P.; Stigson, H.; Ohlin, M.; Strandroth, J. 2017: Modelling the effect on injuries and fatalities when changing mode of transport from car to bicycle. Accident; Analysis and Prevention 100: 30-36

Mays, J.A.; Hess, J.R. 2017: Modelling the effects of blood component storage lesions on the quality of haemostatic resuscitation in massive transfusion for trauma. Blood Transfusion 15(2): 153-157

Charania, N.A.; Moghadas, S.M. 2017: Modelling the effects of booster dose vaccination schedules and recommendations for public health immunization programs: the case of Haemophilus influenzae serotype b. Bmc Public Health 17(1): 705

Shabangu, F.W.; Yemane, D.; Stafford, K.M.; Ensor, P.; Findlay, K.P. 2017: Modelling the effects of environmental conditions on the acoustic occurrence and behaviour of Antarctic blue whales. Plos one 12(2): E0172705

Valík, Ľ; Ačai, P.; Liptáková, D. 2017: Modelling the effects of lactic acid, sodium benzoate and temperature on the growth of Candida maltosa. Letters in Applied Microbiology 65(5): 453-460

Luo, C.; Wang, K.; Zhang, H. 2017: Modelling the effects of quinidine, disopyramide, and E-4031 on short QT syndrome variant 3 in the human ventricles. Physiological Measurement 38(10): 1859-1873

De Wiljes, O.O.; van Elburg, R.A.J.; Keijzer, F.A. 2017: Modelling the effects of short and random proto-neural elongations. Journal of the Royal Society Interface 14(135)

Alcalay, Y.; Tsurim, I.; Ovadia, O. 2017: Modelling the effects of spatial heterogeneity and temporal variation in extinction probability on mosquito populations. Ecological Applications: a Publication of the Ecological Society of America 27(8): 2342-2358

Gu, X.; Liao, Z.; Zhang, G.; Xie, J.; Zhang, J. 2017: Modelling the effects of water diversion and combined sewer overflow on urban inland river quality. Environmental Science and Pollution Research International 24(26): 21038-21049

Walker, M.; Stolk, W.A.; Dixon, M.A.; Bottomley, C.; Diawara, L.; Traoré, M.O.; de Vlas, S.J.; Basáñez, Mía-Gloria. 2017: Modelling the elimination of river blindness using long-term epidemiological and programmatic data from Mali and Senegal. Epidemics 18: 4-15

Chalmers, C.; Smith, R.; Archer, A.J. 2017: Modelling the evaporation of nanoparticle suspensions from heterogeneous surfaces. Journal of Physics. Condensed Matter: An Institute of Physics Journal 29(29): 295102

Chan, M.H.; Hawkes, K.; Kim, P.S. 2017: Modelling the Evolution of Traits in a Two-Sex Population, with an Application to Grandmothering. Bulletin of Mathematical Biology 79(9): 2132-2148

Jönsson, M.; Tondel, M.; Isaksson, M.; Finck, R.; Wålinder, R.; Mamour, A.; Rääf, C. 2017: Modelling the external radiation exposure from the Chernobyl fallout using data from the Swedish municipality measurement system. Journal of Environmental Radioactivity 178-179: 16-27

Brimo, K.; Ouvrard, S.ép.; Houot, S.; Lafolie, F.ço.; Garnier, P. 2018: Modelling the fate of PAH added with composts in amended soil according to the origin of the exogenous organic matter. Science of the Total Environment 616-617: 658-668

Prieto Curiel, R.; Bishop, S. 2017: Modelling the fear of crime. Proceedings. Mathematical Physical and Engineering Sciences 473(2203): 20170156

Shi, Y.; Katzschner, L.; Ng, E. 2018: Modelling the fine-scale spatiotemporal pattern of urban heat island effect using land use regression approach in a megacity. Science of the Total Environment 618: 891-904

Springett, R.; King, M.S.; Crichton, P.G.; Kunji, E.R.S. 2017: Modelling the free energy profile of the mitochondrial ADP/ATP carrier. Biochimica et Biophysica Acta. Bioenergetics 1858(11): 906-914

Kim, Y.E.; Stolk, W.A.; Tanner, M.; Tediosi, F. 2017: Modelling the health and economic impacts of the elimination of river blindness (onchocerciasis) in Africa. Bmj Global Health 2(2): E000158

Stone, C.M.; Kastner, R.; Steinmann, P.; Chitnis, N.; Tanner, M.; Tediosi, F. 2016: Modelling the health impact and cost-effectiveness of lymphatic filariasis eradication under varying levels of mass drug administration scale-up and geographic coverage. Bmj Global Health 1(1): E000021

Dühring, S.; Ewald, J.; Germerodt, S.; Kaleta, C.; Dandekar, T.; Schuster, S. 2017: Modelling the host-pathogen interactions of macrophages and Candida albicans using Game Theory and dynamic optimization. Journal of the Royal Society Interface 14(132)

Anonymous 2010: Modelling the Human Body Exposure to ELF Electric Fields. Medical Physics 37(10): 5561

Ruiz-Villarreal, M.; García-García, L.M.; Cobas, M.; Díaz, P.A.; Reguera, B. 2016: Modelling the hydrodynamic conditions associated with Dinophysis blooms in Galicia (NW Spain). Harmful Algae 53: 40-52

Van Bunnik, B.A.D.; Woolhouse, M.E.J. 2017: Modelling the impact of curtailing antibiotic usage in food animals on antibiotic resistance in humans. Royal Society Open Science 4(4): 161067

Stone, J.; Martin, N.K.; Hickman, M.; Hutchinson, S.J.; Aspinall, E.; Taylor, A.; Munro, A.; Dunleavy, K.; Peters, E.; Bramley, P.; Hayes, P.C.; Goldberg, D.J.; Vickerman, P. 2017: Modelling the impact of incarceration and prison-based hepatitis C virus (HCV) treatment on HCV transmission among people who inject drugs in Scotland. Addiction 112(7): 1302-1314

Cooke, A.S.; Morgan, E.R.; Dungait, J.A.J. 2017: Modelling the impact of targeted anthelmintic treatment of cattle on dung fauna. Environmental Toxicology and Pharmacology 55: 94-98

Ferreira, C.P.; Lyra, S.P.; Azevedo, F.; Greenhalgh, D.; Massad, E. 2017: Modelling the impact of the long-term use of insecticide-treated bed nets on Anopheles mosquito biting time. Malaria Journal 16(1): 373

Nguyen, H.H.; Recknagel, F.; Meyer, W.; Frizenschaf, J.; Shrestha, M.K. 2017: Modelling the impacts of altered management practices, land use and climate changes on the water quality of the Millbrook catchment-reservoir system in South Australia. Journal of Environmental Management 202(Part 1): 1-11

Berk, Z.; Laurenson, Y.C.S.M.; Forbes, A.B.; Kyriazakis, I. 2017: Modelling the impacts of pasture contamination and stocking rate for the development of targeted selective treatment strategies for Ostertagia ostertagi infection in calves. Veterinary Parasitology 238: 82-86

Donatelli, M.; Magarey, R.D.; Bregaglio, S.; Willocquet, L.; Whish, J.P.M.; Savary, S. 2017: Modelling the impacts of pests and diseases on agricultural systems. Agricultural Systems 155: 213-224

Hunt, D.; Knuchel-Takano, Aé.; Jaccard, A.; Bhimjiyani, A.; Retat, L.; Selvarajah, C.; Brown, K.; Webber, L.L.; Brown, M. 2018: Modelling the implications of reducing smoking prevalence: the public health and economic benefits of achieving a 'tobacco-free' UK. Tobacco Control 27(2): 129-135

Yukich, J.O.; Chitnis, N. 2017: Modelling the implications of stopping vector control for malaria control and elimination. Malaria Journal 16(1): 411

Ferrão, J.ão.L.ís.; Mendes, J.M.; Painho, M. 2017: Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique. Parasites and Vectors 10(1): 260

Erazo, D.; Cordovez, J.; Cabrera, C.; Calzada, J.E.; Saldaña, A.; Gottdenker, N.L. 2017: Modelling the influence of host community composition in a sylvatic Trypanosoma cruzi system. Parasitology 144(14): 1881-1889

Hung, A.; Kuyucak, S.; Schroeder, C.I.; Kaas, Q. 2017: Modelling the interactions between animal venom peptides and membrane proteins. Neuropharmacology 127: 20-31

Garrido-Baserba, M.; Sobhani, R.; Asvapathanagul, P.; McCarthy, G.W.; Olson, B.H.; Odize, V.; Al-Omari, A.; Murthy, S.; Nifong, A.; Godwin, J.; Bott, C.B.; Stenstrom, M.K.; Shaw, A.R.; Rosso, D. 2017: Modelling the link amongst fine-pore diffuser fouling, oxygen transfer efficiency, and aeration energy intensity. Water Research 111: 127-139

Sun, J.; Ni, B.-J.; Sharma, K.R.; Wang, Q.; Hu, S.; Yuan, Z. 2018: Modelling the long-term effect of wastewater compositions on maximum sulfide and methane production rates of sewer biofilm. Water Research 129: 58-65

Blanken, H.; Tremblay, L.B.; Gaskin, S.; Slavin, A. 2017: Modelling the long-term evolution of worst-case Arctic oil spills. Marine Pollution Bulletin 116(1-2): 315-331

Kovács, A.; Rode, J.E. 2017: Modelling the matrix shift on the vibrational frequency of ThO by DFT-D3 calculations. Journal of Chemical Physics 146(12): 124301

Kaufmann, K.; Nagasaki, M.; Jáuregui, R. 2011: Modelling the Molecular Interactions in the Flower Developmental Network of Arabidopsis thaliana. Studies in Health Technology and Informatics 162: 279-297

Mc Auley, M.T.; Guimera, A.M.; Hodgson, D.; Mcdonald, N.; Mooney, K.M.; Morgan, A.E.; Proctor, C.J. 2017: Modelling the molecular mechanisms of aging. Bioscience Reports 37(1)

Waddington, J.L.; O'Tuathaigh, C.M. 2018: Modelling the neuromotor abnormalities of psychotic illness: Putative mechanisms and systems dysfunction. Schizophrenia Research 200: 12-19

Illius, A.W.; Gordon, I.J. 1992: Modelling the nutritional ecology of ungulate herbivores: evolution of body size and competitive interactions. Oecologia 89(3): 428-434

Brodowska, A.J.; Nowak, A.; Kondratiuk-Janyska, A.; Piątkowski, M.; Śmigielski, K. 2017: Modelling the Ozone-Based Treatments for Inactivation of Microorganisms. International Journal of Environmental Research and Public Health 14(10)

Fabbri, D.; Maurino, V.; Minella, M.; Minero, C.; Vione, D. 2017: Modelling the photochemical attenuation pathways of the fibrate drug gemfibrozil in surface waters. Chemosphere 170: 124-133

McRobbie, H. 2017: Modelling the Population Health Effects of E-Cigarettes Use: Current Data can Help Guide Future Policy Decisions. Nicotine and Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco 19(2): 131-132

Rennert, T.; Rinklebe, J.ör. 2017: Modelling the potential mobility of Cd, Cu, Ni, Pb and Zn in Mollic Fluvisols. Environmental Geochemistry and Health 39(6): 1291-1304

De Meyer, L.; Lammens, J.; Mortier, S.év.T.ér.ès.F.C.; Vanbillemont, B.; Van Bockstal, P.J.; Corver, J.; Nopens, I.; Vervaet, C.; De Beer, T. 2017: Modelling the primary drying step for the determination of the optimal dynamic heating pad temperature in a continuous pharmaceutical freeze-drying process for unit doses. International Journal of Pharmaceutics 532(1): 185-193

Venhorst, A.; Micklewright, D.; Noakes, T.D. 2018: Modelling the process of falling behind and its psychophysiological consequences. British Journal of Sports Medicine 52(23): 1523-1528

Grau Ribes, A.; De Decker, Y.; Gérard, C.; Rongy, L. 2017: Modelling the propagation of a dynamical signature in gene expression mediated by the transport of extracellular microRNAs. Molecular Biosystems 13(11): 2379-2391

Tavecchia, G.; Miranda, M.-A.; Borrás, D.; Bengoa, M.; Barceló, C.; Paredes-Esquivel, C.; Schwarz, C. 2017: Modelling the range expansion of the Tiger mosquito in a Mediterranean Island accounting for imperfect detection. Frontiers in Zoology 14: 39

Markus, A.A.; Parsons, J.R.; Roex, E.W.M.; de Voogt, P.; Laane, R.W.P.M. 2017: Modelling the Release, Transport and Fate of Engineered Nanoparticles in the Aquatic Environment - A Review. Reviews of Environmental Contamination and Toxicology 243: 53-87

Michael, A.J.; Antonisamy, B.; Gowri, S.M.; Prakash, R. 2017: Modelling the Risk Factors for Birth Weight in Twin Gestations: a Quantile Regression Approach. Journal of Biosocial Science 49(6): 744-756

Thomas, L.F.; de Glanville, W.A.; Cook, E.A.J.; Bronsvoort, B.M.D.C.; Handel, I.; Wamae, C.N.; Kariuki, S.; Fèvre, E.M. 2017: Modelling the risk of Taenia solium exposure from pork produced in western Kenya. Plos Neglected Tropical Diseases 11(2): E0005371

Bosso, L.; De Conno, C.; Russo, D. 2017: Modelling the Risk Posed by the Zebra Mussel Dreissena polymorpha: Italy as a Case Study. Environmental Management 60(2): 304-313

Nyabadza, F.; Ogbogbo, C.P.; Mushanyu, J. 2017: Modelling the role of correctional services on gangs: insights through a mathematical model. Royal Society Open Science 4(10): 170511

Pedrazzoli, D.; Boccia, D.; Dodd, P.J.; Lönnroth, K.; Dowdy, D.W.; Siroka, A.; Kimerling, M.E.; White, R.G.; Houben, R.M.G.J. 2017: Modelling the social and structural determinants of tuberculosis: opportunities and challenges. International Journal of Tuberculosis and Lung Disease: the Official Journal of the International Union Against Tuberculosis and Lung Disease 21(9): 957-964

Bennema, S.C.; Molento, M.B.; Scholte, R.G.; Carvalho, O.S.; Pritsch, I. 2017: Modelling the spatial distribution of Fasciola hepatica in bovines using decision tree, logistic regression and GIS query approaches for Brazil. Parasitology 144(13): 1677-1685

Malinzi, J.; Eladdadi, A.; Sibanda, P. 2017: Modelling the spatiotemporal dynamics of chemovirotherapy cancer treatment. Journal of Biological Dynamics 11(1): 244-274

Shultz, T.R.; Montrey, M.; Aplin, L.M. 2017: Modelling the spread of innovation in wild birds. Journal of the Royal Society Interface 14(131)

Gibson, E.; Koblbauer, I.; Begum, N.; Dranitsaris, G.; Liew, D.; McEwan, P.; Tahami Monfared, A.A.; Yuan, Y.; Juarez-Garcia, A.; Tyas, D.; Lees, M. 2017: Modelling the Survival Outcomes of Immuno-Oncology Drugs in Economic Evaluations: a Systematic Approach to Data Analysis and Extrapolation. Pharmacoeconomics 35(12): 1257-1270

Hayes, D.J.; Banda, C.G.; Chipasula-Teleka, A.; Terlouw, D.J. 2017: Modelling the therapeutic dose range of single low dose primaquine to reduce malaria transmission through age-based dosing. Bmc Infectious Diseases 17(1): 254

Kovalishyn, V.; Abramenko, N.; Kopernyk, I.; Charochkina, L.; Metelytsia, L.; Tetko, I.V.; Peijnenburg, W.; Kustov, L. 2018: Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform. Food and Chemical Toxicology: An International Journal Published for the British Industrial Biological Research Association 112: 507-517

Tang, X.; Zhao, S.; Chiu, A.P.Y.; Ma, H.; Xie, X.; Mei, S.; Kong, D.; Qin, Y.; Chen, Z.; Wang, X.; He, D. 2017: Modelling the transmission and control strategies of varicella among school children in Shenzhen, China. Plos one 12(5): E0177514

Abu-Bakar, A.; Ahmadian, R.; Falconer, R.A. 2017: Modelling the transport and decay processes of microbial tracers in a macro-tidal estuary. Water Research 123: 802-824

Roncali, E.; Mosleh-Shirazi, M.A.; Badano, A. 2017: Modelling the transport of optical photons in scintillation detectors for diagnostic and radiotherapy imaging. Physics in Medicine and Biology 62(20): R207-R235

Scheibe, A.; Grasso, M.; Raymond, H.F.; Manyuchi, A.; Osmand, T.; Lane, T.; Struthers, H. 2018: Modelling the UNAIDS 90-90-90 treatment cascade for gay, bisexual and other men who have sex with men in South Africa: using the findings of a data triangulation process to map a way forward. Aids and Behavior 22(3): 853-859

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Yau, W.M. 1990: Mode of stimulation of gallbladder contraction by substance K. American Journal of Physiology 259(5 Part 1): G838-G841

Savolainen, E.; Saura, A.; Hantula, J. 1993: Mode of Swarming in Relation to Reproductive Isolation in Mayflies. Evolution; International Journal of Organic Evolution 47(6): 1796-1804

Mouri, Y.; Ueda, Y.; Yamano, T.; Matsumoto, M.; Tsuneyama, K.; Kinashi, T.; Matsumoto, M. 2017: Mode of Tolerance Induction and Requirement for Aire Are Governed by the Cell Types that Express Self-Antigen and those that Present Antigen. Journal of Immunology 199(12): 3959-3971

Li, M.; Deng, M.; Gao, G.; Xiang, Y. 2018: Mode pair selection of circumferential guided waves for cumulative second-harmonic generation in a circular tube. Ultrasonics 82: 171-177

Liu, W.; Chen, Y.; Hu, X.; Wen, L.; Jin, L.; Su, Q.; Chen, Q. 2017: Mode properties in metallic and non-metallic plasmonic waveguides. Applied Optics 56(16): 4861-4867

Oliveira, C.S.; Rodrigues, A.M.; Nogueira, G.B.; Nascimento, M.A.; Punaro, G.R.; Higa, E.M.S. 2017: Moderate aerobic exercise on the recovery phase of gentamicin-induced acute kidney injury in rats. Life Sciences 169: 37-42

Hajizadeh Maleki, B.; Tartibian, B. 2017: Moderate aerobic exercise training for improving reproductive function in infertile patients: a randomized controlled trial. Cytokine 92: 55-67

Huang, Y.; Li, Y.; Zheng, S.; Yang, X.; Wang, T.; Zeng, J. 2017: Moderate alcohol consumption and atherosclerosis : Meta-analysis of effects on lipids and inflammation. Wiener Klinische Wochenschrift 129(21-22): 835-843

Badawy, A.A-B. 2017: Moderate Alcohol Consumption and Cardioprotection: A Biochemist's View. Journal of Studies on Alcohol and Drugs 78(4): 637-638

Popelka, M.M.; Cruickshanks, K.J.; Wiley, T.L.; Tweed, T.S.; Klein, B.E.; Klein, R.; Nondahl, D.M. 2000: Moderate alcohol consumption and hearing loss: a protective effect. Journal of the American Geriatrics Society 48(10): 1273-1278

Schneider, M.L.; Roughton, E.C.; Lubach, G.R. 1997: Moderate Alcohol Consumption and Psychological Stress during Pregnancy Induce Attention and Neuromotor Impairments in Primate Infants. Child Development 68(5): 747-759

Topiwala, A.; Allan, C.L.; Valkanova, V.; Zsoldos, E.ő; Filippini, N.; Sexton, C.; Mahmood, A.; Fooks, P.; Singh-Manoux, A.; Mackay, C.E.; Kivimäki, M.; Ebmeier, K.P. 2017: Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study. Bmj 357: J2353

Lang, I.; Wallace, R.B.; Huppert, F.A.; Melzer, D. 2007: Moderate alcohol consumption in older adults is associated with better cognition and well-being than abstinence. Age and Ageing 36(3): 256-261

Beulens, J.W.J.; Fransen, H.P.; Struijk, E.A.; Boer, J.M.A.; de Wit, G.A.; Onland-Moret, N.C.; Hoekstra, J.; Bueno-de-Mesquita, H.B.; Peeters, P.H.M.; May, A.M. 2017: Moderate alcohol consumption is associated with lower chronic disease burden expressed in disability-adjusted life years: a prospective cohort study. European Journal of Epidemiology 32(4): 317-326

Di Castelnuovo, A.; Costanzo, S.; Bonaccio, M.; Rago, L.; De Curtis, A.; Persichillo, M.; Bracone, F.; Olivieri, M.; Cerletti, C.; Donati, M.B.; de Gaetano, G.; Iacoviello, L.; Iacoviello, L.; Donati, M.B.; de Gaetano, G.; Vermylen, J.; De Paula Carrasco, I.; Giampaoli, S.; Spagnuolo, A.; Assanelli, D.; Centritto, V.; Spagnuolo, P.; Staniscia, D.; Zito, F.; Bonanni, A.; Cerletti, C.; De Curtis, A.; Di Castelnuovo, A.; Iacoviello, L.; Lorenzet, R.; Mascioli, A.; Olivieri, M.; Rotilio, D.; Di Castelnuovo, A.; Bonaccio, M.; Costanzo, S.; Gianfagna, F.; Olivieri, M.; Giacci, M.; Padulo, A.; Petraroia, D.; De Curtis, A.; Marracino, F.; Spinelli, M.; Silvestri, C.; Bonanni, A.; Bonaccio, M.; De Lucia, F.; Gianfagna, F.; Vohnout, B.; Zito, F.; Per 2017: Moderate Alcohol Consumption Is Associated with Lower Risk for Heart Failure but not Atrial Fibrillation. JACC. Heart Failure 5(11): 837-844

Nogueira, L.C.; do Rio, R.F.; Lollo, P.C.B.; Ferreira, I.M.P.L.V.O. 2017: Moderate Alcoholic Beer Consumption: the Effects on the Lipid Profile and Insulin Sensitivity of Adult Men. Journal of Food Science 82(7): 1720-1725

Wang, B.; Wang, Z.; de Avila, J.M.; Zhu, M-Jun.; Zhang, F.; Gomez, N.Alberto.; Zhao, L.; Tian, Q.; Zhao, J.; Maricelli, J.; Zhang, H.; Rodgers, B.D.; Du, M. 2017: Moderate alcohol intake induces thermogenic brown/beige adipocyte formation via elevating retinoic acid signaling. Faseb Journal: Official Publication of the Federation of American Societies for Experimental Biology 31(10): 4612-4622

Herring, D.; Paulson, D. 2018: Moderate alcohol use and apolipoprotein E-4 (ApoE-4): Independent effects on cognitive outcomes in later life. Journal of Clinical and Experimental Neuropsychology 40(4): 326-337

Kelly, E.M.; Dodge, J.L.; Bacchetti, P.; Sarkar, M.; French, A.L.; Tien, P.C.; Glesby, M.J.; Golub, E.T.; Augenbraun, M.; Plankey, M.; Peters, M.G. 2017: Moderate Alcohol use Is not Associated with Fibrosis Progression in Human Immunodeficiency Virus/Hepatitis C Virus-Coinfected Women: a Prospective Cohort Study. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America 65(12): 2050-2056

Ahmad, Q.-U.-A.; Yang, S.-T.; Manzoor, M.; Qazi, J.I. 2017: Moderate alkali-thermophilic ethanologenesis by locally isolated Bacillus licheniformis from Pakistan employing sugarcane bagasse: a comparative aspect of aseptic and non-aseptic fermentations. Biotechnology for Biofuels 10: 105

Chatel, B.; Messonnier, L.A.; Hourdé, C.; Vilmen, C.; Bernard, M.; Bendahan, D. 2017: Moderate and intense muscular exercises induce marked intramyocellular metabolic acidosis in sickle cell disease mice. Journal of Applied Physiology 122(5): 1362-1369

Medeiros, A.R.C.; Lima, R.L.F.C.d.; Medeiros, L.B.d.; Trajano, F.áv.M.P.; Salerno, A.A.P.; Moraes, R.M.d.; Vianna, R.P.d.T. 2017: Moderate and severe household food insecurity in families of people living with HIV/Aids: scale validation and associated factors. Ciencia and Saude Coletiva 22(10): 3353-3364

Vélez, E.J.; Azizi, S.; Lutfi, E.; Capilla, E.ón.; Moya, A.; Navarro, I.; Fernández-Borràs, J.; Blasco, J.; Gutiérrez, J. 2017: Moderate and sustained exercise modulates muscle proteolytic and myogenic markers in gilthead sea bream (Sparus aurata). American Journal of Physiology. Regulatory Integrative and Comparative Physiology 312(5): R643-R653

Vidot, D.C.; Bispo, J.B.; Hlaing, W.M.; Prado, G.; Messiah, S.E. 2017: Moderate and vigorous physical activity patterns among marijuana users: Results from the 2007-2014 National Health and Nutrition Examination Surveys. Drug and alcohol dependence 178: 43-48

Langlet, C.; Hainaut, J.P.; Bolmont, B. 2017: Moderate anxiety modifies the electromyographic activity of a forearm muscle during a time-reaction task in women. Neuroscience Letters 643: 1-7

Luo, Z.; Xu, W.; Ma, S.; Qiao, H.; Gao, L.; Zhang, R.; Yang, B.; Qiu, Y.; Chen, J.; Zhang, M.; Tao, B.; Cao, F.; Wang, Y. 2017: Moderate Autophagy Inhibits Vascular Smooth Muscle Cell Senescence to Stabilize Progressed Atherosclerotic Plaque via the mTORC1/ULK1/ATG13 Signal Pathway. Oxidative Medicine and Cellular Longevity 2017: 3018190

Gill, J.; Cashion, A.; Osier, N.; Arcurio, L.; Motamedi, V.; Dell, K.C.; Carr, W.; Kim, H.-S.; Yun, S.; Walker, P.; Ahlers, S.; LoPresti, M.; Yarnell, A. 2017: Moderate blast exposure alters gene expression and levels of amyloid precursor protein. NEUROLOGY. Genetics 3(5): E186

Gill, J.; Motamedi, V.; Osier, N.; Dell, K.; Arcurio, L.; Carr, W.; Walker, P.; Ahlers, S.; Lopresti, M.; Yarnell, A. 2017: Moderate blast exposure results in increased IL-6 and TNFα in peripheral blood. Brain Behavior and Immunity 65: 90-94

Fedewa, M.V.; Hathaway, E.D.; Higgins, S.; Forehand, R.L.; Schmidt, M.D.; Evans, E.M. 2018: Moderate, but not vigorous, intensity exercise training reduces C-reactive protein. Acta Cardiologica 73(3): 283-290

Paula Menéndez, L. 2018: Moderate climate signature in cranial anatomy of late holocene human populations from Southern South America. American Journal of Physical Anthropology 165(2): 309-326

Guallar, E.; Blasco-Colmenares, E.; Arking, D.E.; Zhao, D. 2017: Moderate Coffee Intake can be Part of a Healthy Diet. Annals of Internal Medicine 167(4): 283-284

Dijkstra, K.; van Dongen, N.N.N. 2017: Moderate Contrast in the Evaluation of Paintings Is Liked More but Remembered Less than High Contrast. Frontiers in Psychology 8: 1507

Ganyecz, Ád.ám.; Kállay, M.ál.; Csontos, J.óz. 2017: Moderate-Cost Ab Initio Thermochemistry with Chemical Accuracy. Journal of Chemical Theory and Computation 13(9): 4193-4204

Walmsley, B.; McCormack, L. 2018: Moderate dementia: relational social engagement (RSE) during family visits. Aging and Mental Health 22(8): 954-963

Han, J.-W.; Kim, J.H. 2017: Moderated Mediation Effect of Self-esteem on the Relationship Between Parenting Stress and Depression According to Employment Status in Married Women: a Longitudinal Study Utilizing Data from Panel Study on Korean Children. Asian Nursing Research 11(2): 134-141

Gleeson, J.; Lederman, R.; Koval, P.; Wadley, G.; Bendall, S.; Cotton, S.; Herrman, H.; Crisp, K.; Alvarez-Jimenez, M. 2017: Moderated Online Social Therapy: a Model for Reducing Stress in Carers of Young people Diagnosed with Mental Health Disorders. Frontiers in Psychology 8: 485

Gleeson, J.; Lederman, R.; Herrman, H.; Koval, P.; Eleftheriadis, D.; Bendall, S.; Cotton, S.M.; Alvarez-Jimenez, M. 2017: Moderated online social therapy for carers of young people recovering from first-episode psychosis: study protocol for a randomised controlled trial. Trials 18(1): 27

Kabaklić, A.; Fras, Z. 2017: Moderate-dose atorvastatin improves arterial endothelial function in patients with angina pectoris and normal coronary angiogram: a pilot study. Archives of Medical Science: Ams 13(4): 827-836

Stuyck, C.; Wegge, M.; Bulens, P.; Joye, I.; Haustermans, K. 2017: Moderate dose escalation with volumetric modulated arc therapy improves outcome in rectal cancer. Acta Oncologica 56(11): 1501-1506

Scully, M.-F. 2005: Moderate dose oral anticoagulant therapy in patients with the antiphospholipid syndrome? Yes. Journal of Thrombosis and Haemostasis: Jth 3(5): 840-841

Shimizu, C.; Oki, Y.; Mitani, Y.; Tsuchiya, Y.; Nabeshima, T. 2016: Moderate-dose Regular Lifelong Alcohol Intake Changes the Intestinal Flora, Protects against Aging, and Keeps Spatial Memory in the Senescence-accelerated Mouse Prone 8 (SAMP8) Model. Journal of Pharmacy and Pharmaceutical Sciences: a Publication of the Canadian Society for Pharmaceutical Sciences Societe Canadienne des Sciences Pharmaceutiques 19(4): 430-447

Lieberman, H.R.; Kellogg, M.D.; Fulgoni, V.L.; Agarwal, S. 2017: Moderate doses of commercial preparations of Ginkgo biloba do not alter markers of liver function but moderate alcohol intake does: A new approach to identify and quantify biomarkers of 'adverse effects' of dietary supplements. Regulatory Toxicology and Pharmacology: Rtp 84: 45-53

Anonymous 2017: Moderated Posters: A little bit of everything. European Heart Journal Cardiovascular Imaging 17(Suppl_2): Ii253-Ii255

Anonymous 2017: Moderated Posters: Congenital heart disease. European Heart Journal Cardiovascular Imaging 17(Suppl_2): Ii60-Ii62

Anonymous 2017: Moderated Posters: Deformation imaging. European Heart Journal Cardiovascular Imaging 17(Suppl_2): Ii9-Ii11

Anonymous 2015: Moderated Poster Session 3. European journal of preventive cardiology 22(1 Suppl): S78-S79

Anonymous 2015: Moderated Poster Session 4. European journal of preventive cardiology 22(1 Suppl): S86-S88

Anonymous 2015: Moderated Poster Session 5. European journal of preventive cardiology 22(1 Suppl): S163-S165

Anonymous 2017: Moderated Posters: Imaging of the right heart - What is new?. European Heart Journal Cardiovascular Imaging 17(Suppl_2): Ii161-Ii163

Anonymous 2017: Moderated Posters: New advances in cardiovascular magnetic resonance. European Heart Journal Cardiovascular Imaging 17(Suppl_2): Ii63-Ii65

Anonymous 2017: Moderated Posters: Practical applications of cardiac CT and/or radionuclide imaging. European Heart Journal Cardiovascular Imaging 17(Suppl_2): Ii158-Ii160

Fang, Y.; Du, Y.; Wang, J.; Wu, A.; Qiao, S.; Xu, B.; Zhang, S.; Siddique, K.H.M.; Chen, Y. 2017: Moderate Drought Stress Affected Root Growth and Grain Yield in Old, Modern and Newly Released Cultivars of Winter Wheat. Frontiers in Plant Science 8: 672

Haworth, M.; Catola, S.; Marino, G.; Brunetti, C.; Michelozzi, M.; Riggi, E.; Avola, G.; Cosentino, S.L.; Loreto, F.; Centritto, M. 2017: Moderate Drought Stress Induces Increased Foliar Dimethylsulphoniopropionate (DMSP) Concentration and Isoprene Emission in two Contrasting Ecotypes of Arundo donax. Frontiers in Plant Science 8: 1016

Zhang, Y.; Park, M.; Kim, H.Yong.; Park, S-Jin. 2017: Moderated surface defects of Ni particles encapsulated with NiO nanofibers as supercapacitor with high capacitance and energy density. Journal of Colloid and Interface Science 500: 155-163

Schlabe, S.; Vogel, M.; Boesecke, C.; Schwarze-Zander, C.; Rockstroh, J.ür.K.; Körner, C.; Brixius, K.; Wasmuth, J.-C. 2017: Moderate endurance training (marathon-training) - effects on immunologic and metabolic parameters in HIV-infected patients: the 42 KM cologne project. Bmc Infectious Diseases 17(1): 550

Park, K. 2017: Moderate enhancement in tissue permeability by preclinical focused ultrasound. Journal of Controlled Release: Official Journal of the Controlled Release Society 256: 214

Lejay, A.; Laverny, G.; Paradis, Séphanie.; Schlagowski, A-Isabel.; Charles, A-Laure.; Singh, Fçois.; Zoll, J.; Thaveau, F.; Lonsdorfer, E.; Dufour, Séphane.; Favret, F.; Wolff, Vérie.; Metzger, D.; Chakfe, N.; Geny, B. 2017: Moderate Exercise Allows for shorter Recovery Time in Critical Limb Ischemia. Frontiers in Physiology 8: 523

Li, X.-T.; Yang, C.-B.; Zhu, Y.-S.; Sun, J.; Shi, F.; Wang, Y.-C.; Gao, Y.; Zhao, J.-D.; Sun, X.-Q. 2017: Moderate exercise based on artificial gravity preserves orthostatic tolerance and exercise capacity during short-term head-down bed rest. Physiological Research 66(4): 567-580

Zamani, A.; Salehi, I.; Alahgholi-Hajibehzad, M. 2017: Moderate Exercise Enhances the Production of Interferon-γ and Interleukin-12 in Peripheral Blood Mononuclear Cells. Immune Network 17(3): 186-191

Lamoureux, E.V.; Grandy, S.A.; Langille, M.G.I. 2017: Moderate Exercise Has Limited but Distinguishable Effects on the Mouse Microbiome. Msystems 2(4)

Anonymous 2011: Moderate exercise has no effect on women's sex hormone levels. Nursing Standard: 1987) 25(40): 17

Machado, P.; Caris, A.; Santos, S.; Silva, E.; Oyama, L.; Tufik, S.; Santos, R. 2017: Moderate exercise increases endotoxin concentration in hypoxia but not in normoxia: a controlled clinical trial. Medicine 96(4): E5504

Charrin, E.; Dubé, J.J.; Connes, P.; Pialoux, V.; Ghosh, S.; Faes, C.; Ofori-Acquah, S.F.; Martin, C. 2018: Moderate exercise training decreases inflammation in transgenic sickle cell mice. Blood Cells Molecules and Diseases 69: 45-52

da Silva, V.L.; Lima-Leopoldo, A.P.; Ferron, A.J.T.; Cordeiro, Jóctan.P.; Freire, P.P.; de Campos, D.H.S.; Padovani, C.R.; Sugizaki, Mário.M.; Cicogna, A.C.; Leopoldo, Aé.S. 2017: Moderate exercise training does not prevent the reduction in myocardial L-type Ca 2+ channels protein expression at obese rats. Physiological Reports 5(19)

Bao, J.; Huang, M.; Petranovic, D.; Nielsen, J. 2017: Moderate Expression of SEC16 Increases Protein Secretion by Saccharomyces cerevisiae. Applied and environmental microbiology 83(14)

Gordish, K.L.; Kassem, K.M.; Ortiz, P.A.; Beierwaltes, W.H. 2017: Moderate (20%) fructose-enriched diet stimulates salt-sensitive hypertension with increased salt retention and decreased renal nitric oxide. Physiological Reports 5(7)

Dawes, W.J.; Zhang, X.; Fancy, S.P.J.; Rowitch, D.; Marino, S. 2016: Moderate-Grade Germinal Matrix Haemorrhage Activates Cell Division in the Neonatal Mouse Subventricular Zone. Developmental Neuroscience 38(6): 430-444

Khalilieh, S.; Yee, K.L.; Liu, R.; Fan, L.; Sanchez, R.I.; Auger, P.; Triantafyllou, I.; Stypinski, D.; Lasseter, K.C.; Marbury, T.; Iwamoto, M. 2017: Moderate Hepatic Impairment Does not Affect Doravirine Pharmacokinetics. Journal of Clinical Pharmacology 57(6): 777-783

Milovanovic, P.; Hrncic, D.; Radotic, K.; Stankovic, M.; Mutavdzic, D.; Djonic, D.; Rasic-Markovic, A.; Djuric, D.; Stanojlovic, O.; Djuric, M. 2017: Moderate hyperhomocysteinemia induced by short-term dietary methionine overload alters bone microarchitecture and collagen features during growth. Life Sciences 191: 9-16

Hafner, C.; Wu, J.; Soto-Gonzalez, L.; Kaun, C.; Stojkovic, S.; Wojta, J.; Tretter, V.; Markstaller, K.; Klein, K.U. 2017: Moderate hyperoxia induces inflammation, apoptosis and necrosis in human umbilical vein endothelial cells: An in-vitro study. European Journal of Anaesthesiology 34(3): 141-149

Manapov, F.; Roengvoraphoj, O.; Li, M.; Eze, C. 2017: Moderate hypofractionated image-guided thoracic radiotherapy for locally advanced node-positive non-small cell lung cancer patients with very limited lung function: a case report. Radiation Oncology Journal 35(2): 180-184

Fersino, S.; Tebano, U.; Mazzola, R.; Giaj-Levra, Nò.; Ricchetti, F.; Di Paola, G.; Fiorentino, A.; Sicignano, G.; Naccarato, S.; Ruggieri, R.; Cavalleri, S.; Alongi, F. 2017: Moderate Hypofractionated Postprostatectomy Volumetric Modulated Arc Therapy With Daily Image Guidance (VMAT-IGRT): A Mono-institutional Report on Feasibility and Acute Toxicity. Clinical Genitourinary Cancer 15(4): E667-E673

Franzese, C.; Fogliata, A.; D'Agostino, G.R.; Di Brina, L.; Comito, T.; Navarria, P.; Cozzi, L.; Scorsetti, M. 2017: Moderate hypofractionated radiotherapy with volumetric modulated arc therapy and simultaneous integrated boost for pelvic irradiation in prostate cancer. Journal of Cancer Research and Clinical Oncology 143(7): 1301-1309

Arcangeli, S.; Arcangeli, G. 2017: Moderate hypofractionation for prostate cancer. Oncotarget 8(49): 84612-84613

Arcangeli, G.; Saracino, B.; Arcangeli, S.; Gomellini, S.; Petrongari, M.G.; Sanguineti, G.; Strigari, L. 2017: Moderate Hypofractionation in High-Risk, Organ-Confined Prostate Cancer: Final Results of a Phase IIi Randomized Trial. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 35(17): 1891-1897

Nurullahoglu-Atalik, K.E.; Cenker, A. 2016: Moderate hypothermia attenuates α 1 -adrenoceptor-mediated contraction in human varicose spermatic vein: The role of nitric oxide(Short communication). Physiology International 103(4): 481-486

Ren, W.; Ma, X.; Liu, X.; Li, Y.; Jiang, Z.; Zhao, Y.; Li, C.; Li, X. 2017: Moderate hypothermia induces protein SUMOylation in bone marrow stromal cells and enhances their tolerance to hypoxia. Molecular Medicine Reports 16(5): 7006-7012

Karimov, J.H.; Grady, P.; Sinkewich, M.; Sunagawa, G.; Dessoffy, R.; Byram, N.; Moazami, N.; Fukamachi, K. 2017: Moderate hypothermia technique for chronic implantation of a total artificial heart in calves. Journal of Artificial Organs: the Official Journal of the Japanese Society for Artificial Organs 20(2): 182-185

Ouyang, W.; Yan, Q.; Zhang, Y.; Fan, Z. 2017: Moderate injury in motor-sensory cortex causes behavioral deficits accompanied by electrophysiological changes in mice adulthood. Plos one 12(2): E0171976

Zhang, H.; Gan, L.; Zhu, X.; Wang, J.; Han, L.; Cheng, P.; Jing, D.; Zhang, X.; Shan, Q. 2018: Moderate-intensity 4mT static magnetic fields prevent bone architectural deterioration and strength reduction by stimulating bone formation in streptozotocin-treated diabetic rats. Bone 107: 36-44

Liu, Z.; Liu, H.-Y.; Zhou, H.; Zhan, Q.; Lai, W.; Zeng, Q.; Ren, H.; Xu, D. 2017: Moderate-Intensity Exercise Affects Gut Microbiome Composition and Influences Cardiac Function in Myocardial Infarction Mice. Frontiers in Microbiology 8: 1687

Miller, M.S.; Callahan, D.M.; Tourville, T.W.; Slauterbeck, J.R.; Kaplan, A.; Fiske, B.R.; Savage, P.D.; Ades, P.A.; Beynnon, B.D.; Toth, M.J. 2017: Moderate-intensity resistance exercise alters skeletal muscle molecular and cellular structure and function in inactive older adults with knee osteoarthritis. Journal of Applied Physiology 122(4): 775-787

Ehrlich, S.F.; Hedderson, M.M.; Brown, S.D.; Sternfeld, B.; Chasan-Taber, L.; Feng, J.; Adams, J.; Ching, J.; Crites, Y.; Quesenberry, C.P.; Ferrara, A. 2017: Moderate intensity sports and exercise is associated with glycaemic control in women with gestational diabetes. Diabetes and Metabolism 43(5): 416-423

Chen, W.; Wang, H.Jun.; Shang, N.Ning.; Liu, J.; Li, J.; Tang, D.Hui.; Li, Q. 2017: Moderate intensity treadmill exercise alters food preference via dopaminergic plasticity of ventral tegmental area-nucleus accumbens in obese mice. Neuroscience Letters 641: 56-61

Horwitz, G.; Roncari, D.; Braaten, K.P.; Maurer, R.; Fortin, J.; Goldberg, A.B. 2018: Moderate intravenous sedation for first trimester surgical abortion: a comparison of adverse outcomes between obese and normal-weight women. Contraception 97(1): 48-53

Tam, W.H.; Chan, R.S.; Chan, M.H.; Yuen, L.Y.; Li, L.; Sea, M.M.; Woo, J. 2017: Moderate iodine deficiency among pregnant women in Hong Kong: revisit the problem after two decades. Hong Kong Medical Journal 23(6): 586-593

Li, C.; Shi, X.; Mohamad, O.A.; Gao, J.; Xu, X.; Xie, Y. 2017: Moderate irrigation intervals facilitate establishment of two desert shrubs in the Taklimakan Desert Highway Shelterbelt in China. Plos one 12(7): E0180875

Van Zyl, G.U.; Grobbelaar, C.J.; Claassen, M.; Bock, P.; Preiser, W. 2017: Moderate levels of pre-therapy drug resistance (PDR) in a generalised epidemic: time for better first-line ART?. Aids 31(17): 2387-2391

Walker, S.; Haff, G.G.; Häkkinen, K.; Newton, R.U. 2017: Moderate-Load Muscular Endurance Strength Training Did not Improve Peak Power or Functional Capacity in Older Men and Women. Frontiers in Physiology 8: 743

Salvador Villalba, I.; Martínez Leandro, E.; Alemany Monraval, P.; Martorell Cebollada, M.; Basterra Alegre, J. 1995: Moderately differentiated neuroendocrine carcinoma of the larynx. Acta Otorrinolaringologica Espanola 46(5): 377-380

Aminimoghaddam, S.; Maghsoudnia, A.; Shafiee, S. 2016: Moderately Differentiated Neuroendocrine Cell Carcinoma of the Vulva: A Case Report and Review of the Literature. Gulf Journal of Oncology 1(22): 72-75

Dunietz, G.L.; Strutz, K.L.; Holzman, C.; Tian, Y.; Todem, D.; Bullen, B.L.; Catov, J.M. 2017: Moderately elevated blood pressure during pregnancy and odds of hypertension later in life: the POUCHmoms longitudinal study. Bjog: An International Journal of Obstetrics and Gynaecology 124(10): 1606-1613

Roohi, J.; Kang, B.; Bernard, D.; Bedja, D.; Dietz, H.C.; Brody, L.C. 2017: Moderately Elevated Homocysteine Does Not Contribute to Thoracic Aortic Aneurysm in Mice. Journal of Nutrition 147(7): 1290-1295

Pisprasert, V.; Shantavasinkul, P.C.; Rattanachaiwong, S.; Lepananon, T.; Komindr, S. 2017: Moderately high-protein enteral formula improved retinol-binding protein in tube-fed patients: a multicentre open study. Nutrition and Health 23(3): 203-209

Zhang, Q.; Na, Q.; Song, W. 2017: Moderate mammalian target of rapamycin inhibition induces autophagy in HTR8/SVneo cells via O-linked β-N-acetylglucosamine signaling. Journal of Obstetrics and Gynaecology Research 43(10): 1585-1596

Rouzer, S.K.; Cole, J.M.; Johnson, J.M.; Varlinskaya, E.I.; Diaz, M.R. 2017: Moderate Maternal Alcohol Exposure on Gestational day 12 Impacts Anxiety-Like Behavior in Offspring. Frontiers in Behavioral Neuroscience 11: 183

Salvalaggio, G.; Meaney, C.; Moineddin, R.; Grunfeld, E.; Manca, D. 2017: Moderate mental illness as a predictor of chronic disease prevention and screening. Bmc Family Practice 18(1): 73

Feng, C.; Pettersson, M.; Lamichhaney, S.; Rubin, C.-J.; Rafati, N.; Casini, M.; Folkvord, A.; Andersson, L. 2017: Moderate nucleotide diversity in the Atlantic herring is associated with a low mutation rate. Elife 6

Mos, B.; Kaposi, K.L.; Rose, A.L.; Kelaher, B.; Dworjanyn, S.A. 2017: Moderate ocean warming mitigates, but more extreme warming exacerbates the impacts of zinc from engineered nanoparticles on a marine larva. Environmental Pollution 228: 190-200

Nasezadeh, P.; Shahi, F.; Fridoni, M.; Seydi, E.; Izadi, M.; Salimi, A. 2017: Moderate O 3 /O 2 therapy enhances enzymatic and non-enzymatic antioxidant in brain and cochlear that protects noise-induced hearing loss. Free Radical Research 51(9-10): 828-837

Pahor-Filho, E.; Klosterhoff, M.C.; Marchiori, N.C.; Pereira, J. 2017: Moderate pathogenic effect of Ligophorus uruguayense (Monogenoidea, Ancyrocephalidae) in juvenile mullet Mugil liza (Actinopterygii, Mugilidae) from Brazil. Anais da Academia Brasileira de Ciencias 89(4): 2997-3003

Dougherty, R.J.; Schultz, S.A.; Kirby, T.K.; Boots, E.A.; Oh, J.M.; Edwards, D.; Gallagher, C.L.; Carlsson, C.M.; Bendlin, B.B.; Asthana, S.; Sager, M.A.; Hermann, B.P.; Christian, B.T.; Johnson, S.C.; Cook, D.B.; Okonkwo, O.C. 2017: Moderate Physical Activity is Associated with Cerebral Glucose Metabolism in Adults at Risk for Alzheimer's Disease. Journal of Alzheimer's Disease: Jad 58(4): 1089-1097

Rosa-Caldwell, M.E.; Lee, D.E.; Brown, J.L.; Brown, L.A.; Perry, R.A.; Greene, E.S.; Carvallo Chaigneau, F.R.; Washington, T.A.; Greene, N.P. 2017: Moderate physical activity promotes basal hepatic autophagy in diet-induced obese mice. Applied Physiology Nutrition and Metabolism 42(2): 148-156

Koloverou, E.; Tambalis, K.; Panagiotakos, D.B.; Georgousopoulou, E.; Chrysohoou, C.; Skoumas, I.; Tousoulis, D.; Stefanadis, C.; Pitsavos, C. 2018: Moderate physical activity reduces 10-year diabetes incidence: the mediating role of oxidative stress biomarkers. International Journal of Public Health 63(2): 297-305

Llamas-Velasco, M.; de la Cueva, P.; Notario, J.; Martínez-Pilar, L.; Martorell, A.; Moreno-Ramírez, D. 2017: Moderate Psoriasis: a Proposed Definition. Actas Dermo-Sifiliograficas 108(10): 911-917

Devji, T. 2017: Moderate-quality evidence shows a strong association between inadequate oral hygiene and periodontitis. Journal of the American Dental Association 148(11): E161

Kumar, S.; Ahirwar, R.; Rehman, I.; Nahar, P. 2017: Moderate reagent mixing on an orbital shaker reduces the incubation time of enzyme-linked immunosorbent assay. Analytical Biochemistry 528: 53-56

Rasschaert, M.èn.; Idée, J.-M.; Robert, P.; Fretellier, N.; Vives, V.ér.; Violas, X.; Ballet, S.éb.; Corot, C. 2017: Moderate Renal Failure Accentuates T1 Signal Enhancement in the Deep Cerebellar Nuclei of Gadodiamide-Treated Rats. Investigative Radiology 52(5): 255-264

Rossi, F.íc.E.; Gerosa-Neto, J.; Diniz, T.A.; Freitas, I.F.; Lira, F.S.; Cholewa, J.M. 2016: Moderate rest intervals are superior to short intervals for improving PAI-1 following exhaustive exercise in recreational weightlifters. Journal of Exercise Rehabilitation 12(6): 559-566

Parvanova, A.; Trillini, M.; Podestà, M.A.; Iliev, I.P.; Ruggiero, B.; Abbate, M.; Perna, A.; Peraro, F.; Diadei, O.; Rubis, N.; Gaspari, F.; Carrara, F.; Stucchi, N.; Belviso, A.; Bossi, A.C.; Trevisan, R.; Remuzzi, G.; de Borst, M.; Ruggenenti, P.; Perico, N.; Ruggenenti, P.; Remuzzi, G.; Rota, S.; Trillini, M.; Ruggiero, B.; Aparicio, M.C.; Prandini, S.; Cugini, D.; Gherardi, G.; Podestà, M.A.; Trevisan, R.; Corsi, A.; Bossi, A.C.; Parvanova, A.; Iliev, I.P.; Yakymchuk, S.; Lecchi, V.; Belviso, A.; Mangili, R.; Rubis, N.; Calini, W.; Diadei, O.; Ene-Iordache, B.; Carminati, S.; Martinetti, D.; Giuliano, G.A.; Perna, A.; Peraro, F.; Russo, A.; Gaspari, F.; Carrara, F.; Ferrari, S.; Stucchi, N.; Cannata, A.N.; Boccardo, P.; Peracchi, S.; 2018: Moderate salt restriction with or without paricalcitol in type 2 diabetes and losartan-resistant macroalbuminuria (PROCEED): a randomised, double-blind, placebo-controlled, crossover trial. LANCET. Diabetes and Endocrinology 6(1): 27-40

Roddy, S.P. 2017: Moderate sedation billing in 2017. Journal of Vascular Surgery 65(3): 921-922

Nelson, M.E. 2017: Moderate Sedation Changes for Bronchoscopy in 2017. Chest 152(4): 893-897

Sawhney, V.; Bacuetes, E.; Wray, M.; Dhinoja, M.; Earley, M.J.; Schilling, R.J.; Sporton, S. 2017: Moderate sedation in cardiac electrophysiology laboratory: a retrospective safety analysis. Heart 103(15): 1210-1215

Wang, Y.; Liu, Y.; Wan, H.; Zhu, Y.; Chen, P.; Hao, P.; Cheng, Z.; Liu, J. 2017: Moderate selenium dosing inhibited chromium (VI) toxicity in chicken liver. Journal of Biochemical and Molecular Toxicology 31(8)

Yu, A.Y.X.; Quan, H.; McRae, A.; Wagner, G.O.; Hill, M.D.; Coutts, S.B. 2017: Moderate sensitivity and high specificity of emergency department administrative data for transient ischemic attacks. Bmc Health Services Research 17(1): 666

Konstantoulas, C.J.; Hagen, B.; Indik, S. 2017: Moderate sensitivity of mouse mammary tumour virus to inhibition by human APOBEC3G. Journal of General Virology 98(9): 2362-2367

Eskelinen, M.; Selander, T.; Ollonen, P.; Korhonen, R. 2017: Moderate/severe Depression (MADRS) can Affect the Quality of Life and Outcome Among Patients Admitted to Breast Cancer Diagnosis Unit. Anticancer Research 37(5): 2641-2647

Worsley, R.; Bell, R.J.; Gartoulla, P.; Robinson, P.J.; Davis, S.R. 2017: Moderate-Severe Vasomotor Symptoms Are Associated with Moderate-Severe Depressive Symptoms. Journal of Women's Health 26(7): 712-718

Ebert, T.J.; Novalija, J.; Barney, J.A.; Uhrich, T.D.; Arain, S.R.; Freed, J.K.; Pagel, P.S. 2017: Moderate, Short-Term, Local Hyperglycemia Attenuates Forearm Endothelium-Dependent Vasodilation After Transient Ischemia-Reperfusion in Human Volunteers. Journal of Cardiothoracic and Vascular Anesthesia 31(5): 1649-1655