EurekaMag PDF full texts Chapter 54,414

Chen, Q.; Chen, Y.-P.P. 2011: Modeling conserved structure patterns for functional noncoding RNA. IEEE Transactions on Bio-Medical Engineering 58(6): 1528-1533

Milak, M.S.; Severance, A.J.; Ogden, R.Todd.; Prabhakaran, J.; Kumar, J.S.Dileep.; Majo, V.J.; Mann, J.John.; Parsey, R.V. 2008: Modeling considerations for 11C-CUMI-101, an agonist radiotracer for imaging serotonin 1A receptor in vivo with PET. Journal of Nuclear Medicine: Official Publication Society of Nuclear Medicine 49(4): 587-596

Siewert, E.; Kechris, K.J. 2013: Modeling considerations for using expression data from multiple species. Statistics in Medicine 32(23): 4057-4070

Birkholz, P. 2013: Modeling consonant-vowel coarticulation for articulatory speech synthesis. Plos one 8(4): E60603

Promraksa, A.; Chen, L.-J. 2012: Modeling contact angle hysteresis of a liquid droplet sitting on a cosine wave-like pattern surface. Journal of Colloid and Interface Science 384(1): 172-181

Kusumaatmaja, H.; Yeomans, J.M. 2007: Modeling contact angle hysteresis on chemically patterned and superhydrophobic surfaces. Langmuir: the Acs Journal of Surfaces and Colloids 23(11): 6019-6032

Sander, L.M. 2014: Modeling contact guidance and invasion by cancer cells. Cancer Research 74(17): 4588-4596

Wu, R.; Qian, S.S.; Hao, F.; Cheng, H.; Zhu, D.; Zhang, J. 2011: Modeling contaminant concentration distributions in China's centralized source waters. Environmental Science and Technology 45(14): 6041-6048

Lavallée-Adam, M.; Cloutier, P.; Coulombe, B.; Blanchette, M. 2011: Modeling contaminants in AP-MS/MS experiments. Journal of Proteome Research 10(2): 886-895

Bouare, O. 2009: Modeling contextual determinants of HIV/AIDS prevalence in South Africa to inform policy. African Journal of Reproductive Health 13(3): 53-69

Wade, C.; Llewellyn, G.; Matthews, J. 2011: Modeling contextual influences on parents with intellectual disability and their children. American Journal on Intellectual and Developmental Disabilities 116(6): 419-437

Huang, W.; Jiao, L.; Jia, J. 2008: Modeling contextual modulation in the primary visual cortex. Neural Networks: the Official Journal of the International Neural Network Society 21(8): 1182-1196

Bassano, D.; van Geert, P. 2007: Modeling continuity and discontinuity in utterance length: a quantitative approach to changes, transitions and intra-individual variability in early grammatical development. Developmental Science 10(5): 588-612

Chen, J.; Lin, C.-D. 2010: Modeling continuous auxiliary covariate data in generalized linear mixed models using the kernel smoother. Biometrical Journal. Biometrische Zeitschrift 52(3): 362-376

Bougaran, G.ël.; Bernard, O.; Sciandra, A. 2010: Modeling continuous cultures of microalgae colimited by nitrogen and phosphorus. Journal of Theoretical Biology 265(3): 443-454

Ladouceur, M.; Rahme, E.; Bélisle, P.; Scott, A.N.; Schwartzman, K.; Joseph, L. 2011: Modeling continuous diagnostic test data using approximate Dirichlet process distributions. Statistics in Medicine 30(21): 2648-2662

Luan, H.-J.; Tian, Q.-J.; Yu, T.; Hu, X.-L.; Huang, Y.; Du, L.-T.; Zhao, L.-M.; Wei, X.; Han, J.; Zhang, Z.-W.; Li, S.-P. 2013: Modeling continuous scaling of NDVi based on fractal theory. Guang Pu Xue Yu Guang Pu Fen Xi 33(7): 1857-1862

McKeown, G.J.; Sneddon, I. 2014: Modeling continuous self-report measures of perceived emotion using generalized additive mixed models. Psychological Methods 19(1): 155-174

Prosper, O.; Saucedo, O.; Thompson, D.; Torres-Garcia, G.; Wang, X.; Castillo-Chavez, C. 2011: Modeling control strategies for concurrent epidemics of seasonal and pandemic H1N1 influenza. Mathematical Biosciences and Engineering: Mbe 8(1): 141-170

Gollisch, T.; Meister, M. 2008: Modeling convergent ON and OFF pathways in the early visual system. Biological Cybernetics 99(4-5): 263-278

Van der Sman, R.G.M. 2013: Modeling cooking of chicken meat in industrial tunnel ovens with the Flory-Rehner theory. Meat Science 95(4): 940-957

Giraldo, J.ús. 2013: Modeling cooperativity effects in dimeric G protein-coupled receptors. Progress in Molecular Biology and Translational Science 115: 349-373

Furlan, S.; Hureau, C.; Faller, P.; La Penna, G. 2012: Modeling copper binding to the amyloid-β peptide at different pH: toward a molecular mechanism for Cu reduction. Journal of Physical Chemistry. B 116(39): 11899-11910

Farmer, N.A.; Ault, J.S. 2014: Modeling coral reef fish home range movements in Dry Tortugas, Florida. Thescientificworldjournal 2014: 629791

Resendis-Antonio, O.; Checa, A.; Encarnación, S. 2010: Modeling core metabolism in cancer cells: surveying the topology underlying the Warburg effect. Plos one 5(8): E12383

Chhabra, M.; Prausnitz, J.M.; Radke, C.J. 2009: Modeling corneal metabolism and oxygen transport during contact lens wear. Optometry and Vision Science: Official Publication of the American Academy of Optometry 86(5): 454-466

Schneider, M.; Iskander, D.R.; Collins, M.J. 2009: Modeling corneal surfaces with rational functions for high-speed videokeratoscopy data compression. IEEE Transactions on Bio-Medical Engineering 56(2): 493-499

Michimi, A. 2010: Modeling coronary heart disease prevalence in regional and sociodemographic contexts. Health and Place 16(1): 147-155

Daggy, J.K.; Thomas, J.; Craig, B.A. 2011: Modeling correlated healthcare costs. Expert Review of Pharmacoeconomics and Outcomes Research 11(1): 101-111

Oinam, A.S.; Goda, J.S.; Dubey, S.; Bhardwaj, A.; Patel, F.D. 2008: Modeling correlation indices between bladder and Foley's catheter balloon dose with CT-based planning using limited CT slices in intracavitary brachytherapy for carcinoma of cervix. Journal of Cancer Research and Therapeutics 4(4): 156-163

Mullen, T.; Acar, Z.A.; Worrell, G.; Makeig, S. 2011: Modeling cortical source dynamics and interactions during seizure. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2011: 1411-1414

Earp, J.C.; Dubois, D.C.; Molano, D.S.; Pyszczynski, N.A.; Keller, C.E.; Almon, R.R.; Jusko, W.J. 2008: Modeling corticosteroid effects in a rat model of rheumatoid arthritis I: mechanistic disease progression model for the time course of collagen-induced arthritis in Lewis rats. Journal of Pharmacology and Experimental Therapeutics 326(2): 532-545

Earp, J.C.; Dubois, D.C.; Molano, D.S.; Pyszczynski, N.A.; Almon, R.R.; Jusko, W.J. 2008: Modeling corticosteroid effects in a rat model of rheumatoid arthritis II: mechanistic pharmacodynamic model for dexamethasone effects in Lewis rats with collagen-induced arthritis. Journal of Pharmacology and Experimental Therapeutics 326(2): 546-554

Sriram, K.; Rodriguez-Fernandez, M.; Doyle, F.J. 2012: Modeling cortisol dynamics in the neuro-endocrine axis distinguishes normal, depression, and post-traumatic stress disorder (PTSD) in humans. Plos Computational Biology 8(2): E1002379

Liu, S.S.; John, R.S. 2010: Modeling cost of ultrasound versus nerve stimulator guidance for nerve blocks with sensitivity analysis. Regional Anesthesia and Pain Medicine 35(1): 57-63

Johnson-Masotti, A.P. 2003: Modeling cost-effectiveness of HIV prevention programs. Expert Review of Pharmacoeconomics and Outcomes Research 3(4): 409-425

Vokó, Z.án.; Nagyjánosi, L.ás.ó; Margitai, B.ás.; Kövi, R.; Tóth, Z.án.; László, D.án.; Kaló, Z.án. 2012: Modeling cost-effectiveness of cervical cancer screening in Hungary. Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research 15(1): 39-45

Oremus, M.; Tarride, J.-E. 2012: Modeling cost-effectiveness of pharmaceuticals in Alzheimer's disease. Expert Review of Pharmacoeconomics and Outcomes Research 12(3): 275-277

Forman, J.L.; Kent, R.W. 2011: Modeling costal cartilage using local material properties with consideration for gross heterogeneities. Journal of Biomechanics 44(5): 910-916

Anderson, J.L.; Crawford, C.B. 1992: Modeling costs and benefits of adolescent weight control as a mechanism for reproductive suppression. Human Nature 3(4): 299-334

Bonnet, P.; Gringeri, A.; Gomperts, E.; Leissinger, C.A.; d'Oiron, R.; Teitel, J.; Young, G.; Franklin, M.; Ewenstein, B.; Berntorp, E. 2011: Modeling costs and outcomes associated with a treatment algorithm for problem bleeding episodes in patients with severe hemophilia a and high-titer inhibitors. American Health and Drug Benefits 4(4): 219-231

Bjartell, A.S.; Steineck, G.; Haglind, E. 2013: Modeling costs for prostate surgery: are we close to reality?. European Urology 64(3): 370-371

Bai, X.; Shrestha, S.L.; Casey, F.X.M.; Hakk, H.; Fan, Z. 2014: Modeling coupled sorption and transformation of 17β-estradiol-17-sulfate in soil-water systems. Journal of Contaminant Hydrology 168: 17-24

Chiou, Y.-C.; Fu, C. 2013: Modeling crash frequency and severity using multinomial-generalized Poisson model with error components. Accident; Analysis and Prevention 50: 73-82

Löber, J.; Ziebert, F.; Aranson, I.S. 2014: Modeling crawling cell movement on soft engineered substrates. Soft Matter 10(9): 1365-1373

Horn, S.S.; Bayen, U.J. 2015: Modeling criterion shifts and target checking in prospective memory monitoring. Journal of Experimental Psychology. Learning Memory and Cognition 41(1): 95-117

Alvarado, S.A.; Silva, C.S.; Cáceres, D.D. 2010: Modeling critical episodes of air pollution by PM10 in Santiago, Chile. Comparison of the predictive efficiency of parametric and non-parametric statistical models. Gaceta Sanitaria 24(6): 466-472

Yu, C.; Smith, L.B. 2012: Modeling cross-situational word-referent learning: prior questions. Psychological Review 119(1): 21-39

Yu, W.; Johansson, A. 2007: Modeling crowd turbulence by many-particle simulations. Physical Review. E Statistical Nonlinear and Soft Matter Physics 76(4 Pt 2): 046105

Reilly, A.M.; Briesen, H. 2012: Modeling crystal growth from solution with molecular dynamics simulations: approaches to transition rate constants. Journal of Chemical Physics 136(3): 034704

Grogan, W.; Morey, M.; Piderit, J. 2007: Modeling cultural contours in a Catholic hospital. a facility can affirm its religious identity by adopting religious practices. Health Progress 88(4): 28-35

Laratte, B.; Guillaume, B.; Kim, J.; Birregah, B. 2014: Modeling cumulative effects in life cycle assessment: the case of fertilizer in wheat production contributing to the global warming potential. Science of the Total Environment 481: 588-595

Zhang, M.-J.; Zhang, X.; Scheike, T.H. 2008: Modeling cumulative incidence function for competing risks data. Expert Review of Clinical Pharmacology 1(3): 391-400

Breitzke, M.; Bohlen, T. 2012: Modeling cumulative sound exposure along a seismic line to assess the risk of seismic research surveys on marine mammals in the Antarctic Treaty Area. Advances in Experimental Medicine and Biology 730: 609-611

Erbe, C.; King, A.R. 2009: Modeling cumulative sound exposure around marine seismic surveys. Journal of the Acoustical Society of America 125(4): 2443-2451

Erbe, C. 2012: Modeling cumulative sound exposure over large areas, multiple sources, and long durations. Advances in Experimental Medicine and Biology 730: 477-479

Patterson, R.; Yang, F. 2009: Modeling current pathways for therapeutic electrical applications. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2009: 4619-4622

Huang, P.Y.; Balmain, A. 2014: Modeling cutaneous squamous carcinoma development in the mouse. Cold Spring Harbor Perspectives in Medicine 4(9): A013623

Ke, A.B.; Eyal, S.; Chung, F.S.; Link, J.M.; Mankoff, D.A.; Muzi, M.; Unadkat, J.D. 2013: Modeling cyclosporine a inhibition of the distribution of a P-glycoprotein PET ligand, 11C-verapamil, into the maternal brain and fetal liver of the pregnant nonhuman primate: impact of tissue blood flow and site of inhibition. Journal of Nuclear Medicine: Official Publication Society of Nuclear Medicine 54(3): 437-446

Sabass, B.; Schwarz, U.S. 2010: Modeling cytoskeletal flow over adhesion sites: competition between stochastic bond dynamics and intracellular relaxation. Journal of Physics. Condensed Matter: An Institute of Physics Journal 22(19): 194112

Neri, I.; Kern, N.; Parmeggiani, A. 2013: Modeling cytoskeletal traffic: an interplay between passive diffusion and active transport. Physical Review Letters 110(9): 098102

Kentner, A.C.; Abizaid, A.; Bielajew, C. 2010: Modeling dad: animal models of paternal behavior. Neuroscience and Biobehavioral Reviews 34(3): 438-451

Allen, J.M.; Terres, M.A.; Katsuki, T.; Iwamoto, K.; Kobori, H.; Higuchi, H.; Primack, R.B.; Wilson, A.M.; Gelfand, A.; Silander, J.A. 2014: Modeling daily flowering probabilities: expected impact of climate change on Japanese cherry phenology. Global Change Biology 20(4): 1251-1263

Li, Y.; Reynolds, P.; O'Neill, P.; Cucinotta, F.A. 2014: Modeling damage complexity-dependent non-homologous end-joining repair pathway. Plos one 9(2): E85816

Trubitsyna, I.E.; Drozdov, V.N.; Tkachenko, E.V.; Varvanina, G.G. 2011: Modeling damage of the mucous membrane of the gastrointestinal tract in rats. Eksperimental'naia i Klinicheskaia Gastroenterologiia 2: 117-120

James, G.; Zhou, Y.; Miller, S. 2011: Modeling data with structural and temporal correlation using lower level and higher level multilevel models. Pharmaceutical Statistics 10(5): 395-406

Imren, S.; Heuser, M.; Gasparetto, M.; Beer, P.A.; Norddahl, G.L.; Xiang, P.; Chen, L.; Berg, T.; Rhyasen, G.W.; Rosten, P.; Park, G.; Moon, Y.; Weng, A.P.; Eaves, C.J.; Humphries, R.K. 2014: Modeling de novo leukemogenesis from human cord blood with MN1 and NUP98HOXD13. Blood 124(24): 3608-3612

Solazzo, C.; Wilson, J.; Dyer, J.M.; Clerens, S.; Plowman, J.E.; von Holstein, I.; Walton Rogers, P.; Peacock, E.E.; Collins, M.J. 2014: Modeling deamidation in sheep α-keratin peptides and application to archeological wool textiles. Analytical Chemistry 86(1): 567-575

Hérault, B.; Beauchêne, J.; Muller, F.él.; Wagner, F.; Baraloto, C.; Blanc, L.; Martin, J.-M. 2010: Modeling decay rates of dead wood in a neotropical forest. Oecologia 164(1): 243-251

Sordo, M.; Rocha, B.H.; Morales, A.A.; Maviglia, S.M.; Oglio, E.D.'O.; Fairbanks, A.; Aroy, T.; Dubois, D.; Bouyer-Ferullo, S.; Rocha, R.A. 2013: Modeling decision support rule interactions in a clinical setting. Studies in Health Technology and Informatics 192: 908-912

Zhang, T.C.; Grill, W.M. 2010: Modeling deep brain stimulation: point source approximation versus realistic representation of the electrode. Journal of Neural Engineering 7(6): 066009

Udovydchenkov, I.A.; Duda, T.F.; Doney, S.C.; Lima, I.D. 2010: Modeling deep ocean shipping noise in varying acidity conditions. Journal of the Acoustical Society of America 128(3): El130-El136

Trayanova, N.; Constantino, J.; Ashihara, T.; Plank, G. 2011: Modeling defibrillation of the heart: approaches and insights. IEEE Reviews in Biomedical Engineering 4: 89-102

Moran, L.M.; Booze, R.M.; Mactutus, C.F. 2014: Modeling deficits in attention, inhibition, and flexibility in HAND. Journal of Neuroimmune Pharmacology: the Official Journal of the Society on Neuroimmune Pharmacology 9(4): 508-521

Ayturk, U.M.; Gadomski, B.; Schuldt, D.; Patel, V.; Puttlitz, C.M. 2012: Modeling degenerative disk disease in the lumbar spine: a combined experimental, constitutive, and computational approach. Journal of Biomechanical Engineering 134(10): 101003

Scherr, F.F.; Sarmah, A.K.; Di, H.J.; Cameron, K.C. 2008: Modeling degradation and metabolite formation kinetics of estrone-3-sulfate in agricultural soils. Environmental Science and Technology 42(22): 8388-8394

Jonker, A.; Gruber, M.Y.; Wang, Y.; Coulman, B.; Azarfar, A.; McKinnon, J.J.; Christensen, D.A.; Yu, P. 2011: Modeling degradation ratios and nutrient availability of anthocyanidin-accumulating Lc-alfalfa populations in dairy cows. Journal of Dairy Science 94(3): 1430-1444

Gupta, C.; López, J.é M.; Azencott, R.; Bennett, M.R.; Josić, K.ši.; Ott, W. 2014: Modeling delay in genetic networks: from delay birth-death processes to delay stochastic differential equations. Journal of Chemical Physics 140(20): 204108

Xu, X.S.; Wang, H.; Vermeulen, A. 2011: Modeling delayed drug effect using discrete-time nonlinear autoregressive models: a connection with indirect response models. Journal of Pharmacokinetics and Pharmacodynamics 38(3): 353-367

Lombardo, D. 2014: Modeling dendrimers charge interaction in solution: relevance in biosystems. Biochemistry Research International 2014: 837651

Khormi, H.M.; Kumar, L. 2011: Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study. Science of the Total Environment 409(22): 4713-4719

Padilla-Torres, S.D.; Ferraz, Gçalo.; Luz, S.L.B.; Zamora-Perea, E.; Abad-Franch, F. 2013: Modeling dengue vector dynamics under imperfect detection: three years of site-occupancy by Aedes aegypti and Aedes albopictus in urban Amazonia. PloS one 8(3): e58420

Lloyd-Smith, J.O. 2010: Modeling density dependence in heterogeneous landscapes: dispersal as a case study. Journal of Theoretical Biology 265(2): 160-166

Van der Fels-Klerx, H.J.; Goedhart, P.W.; Elen, O.; Börjesson, T.; Hietaniemi, V.; Booij, C.J.H. 2012: Modeling deoxynivalenol contamination of wheat in northwestern Europe for climate change assessments. Journal of Food Protection 75(6): 1099-1106

Lacey, M.R.; Ehrlich, M. 2009: Modeling dependence in methylation patterns with application to ovarian carcinomas. Statistical Applications in Genetics and Molecular Biology 8: Article 40

Cheung, M.W.-L. 2014: Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach. Psychological Methods 19(2): 211-229

Leentjens, A.F.G.; Moonen, A.J.H.; Dujardin, K.; Marsh, L.; Martinez-Martin, P.; Richard, I.H.; Starkstein, S.E.; Köhler, S. 2013: Modeling depression in Parkinson disease: disease-specific and nonspecific risk factors. Neurology 81(12): 1036-1043

Overstreet, D.H. 2012: Modeling depression in animal models. Methods in Molecular Biology 829: 125-144

Billard, B.; Abbot, R.H.; Penny, M.F. 1986: Modeling depth bias in an airborne laser hydrographic system. Applied Optics 25(13): 2089

Nawrot, M.; Ratzlaff, M.; Leonard, Z.; Stroyan, K. 2014: Modeling depth from motion parallax with the motion/pursuit ratio. Frontiers in Psychology 5: 1103

Berthaud, A.; Manzi, J.; Pérez, J.; Mangenot, S.ép. 2012: Modeling detergent organization around aquaporin-0 using small-angle X-ray scattering. Journal of the American Chemical Society 134(24): 10080-10088

Akushevich, I.V.; Veremeyeva, G.A.; Dimov, G.P.; Ukraintseva, S.V.; Arbeev, K.G.; Akleyev, A.V.; Yashin, A.I. 2010: Modeling deterministic effects in hematopoietic system caused by chronic exposure to ionizing radiation in large human cohorts. Health Physics 99(3): 322-329

Godfrey, K.B.; Swindale, N.V. 2014: Modeling development in retinal afferents: retinotopy, segregation, and ephrinA/EphA mutants. Plos one 9(8): E104670

Kühn, C.; Kühn, A.; Poustka, A.J.; Klipp, E. 2007: Modeling development: spikes of the sea urchin. Genome Informatics. International Conference on Genome Informatics 18: 75-84

Valente-dos-Santos, J.ão.; Coelho-e-Silva, M.J.; Simões, F.; Figueiredo, A.J.; Leite, N.; Elferink-Gemser, M.T.; Malina, R.M.; Sherar, L. 2012: Modeling developmental changes in functional capacities and soccer-specific skills in male players aged 11-17 years. Pediatric Exercise Science 24(4): 603-621

Deprez, D.; Valente-Dos-Santos, J.; Coelho E Silva, M.; Lenoir, M.; Philippaerts, R.M.; Vaeyens, R. 2014: Modeling developmental changes in yo-yo intermittent recovery test level 1 in elite pubertal soccer players. International Journal of Sports Physiology and Performance 9(6): 1006-1012

Law, J.; Rush, R.; Schoon, I.; Parsons, S. 2009: Modeling developmental language difficulties from school entry into adulthood: literacy, mental health, and employment outcomes. Journal of Speech Language and Hearing Research: Jslhr 52(6): 1401-1416

Kirton, A. 2013: Modeling developmental plasticity after perinatal stroke: defining central therapeutic targets in cerebral palsy. Pediatric Neurology 48(2): 81-94

Hald, B.ør.O.; Sørensen, P.G. 2010: Modeling diauxic glycolytic oscillations in yeast. Biophysical Journal 99(10): 3191-3199

Bryan, S.A.; Montroy, T.E.; Ruhl, J.E. 2010: Modeling dielectric half-wave plates for cosmic microwave background polarimetry using a Mueller matrix formalism. Applied Optics 49(32): 6313-6323

De Roover, K.; Ceulemans, E.; Timmerman, M.E.; Nezlek, J.B.; Onghena, P. 2013: Modeling differences in the dimensionality of multiblock data by means of clusterwise simultaneous component analysis. Psychometrika 78(4): 648-668

Huang, X.; Zheng, F.; Zhan, C.-G. 2008: Modeling differential binding of alpha4beta2 nicotinic acetylcholine receptor with agonists and antagonists. Journal of the American Chemical Society 130(49): 16691-16696

Londoño, C.; Clark, P.P. 1992: Modeling diffraction efficiency effects when designing hybrid diffractive lens systems. Applied Optics 31(13): 2248-2252

Zonios, G.; Dimou, A. 2011: Modeling diffuse reflectance from homogeneous semi-infinite turbid media for biological tissue applications: a Monte Carlo study. Biomedical Optics Express 2(12): 3284-3294

Zonios, G.; Dimou, A. 2006: Modeling diffuse reflectance from semi-infinite turbid media: application to the study of skin optical properties. Optics Express 14(19): 8661-8674

Ippalapalli, S.; Ranaprathapan, A.D.; Singh, S.N.; Harikrishnan, G. 2013: Modeling diffusion in foamed polymer nanocomposites. Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry 14(6): 1190-1196

Ghadirian, B.; Stait-Gardner, T.; Castillo, R.; Price, W.S. 2010: Modeling diffusion in restricted systems using the heat kernel expansion. Journal of Chemical Physics 132(23): 234108

Desai, T.G.; Keblinski, P.; Kumar, S.K.; Granick, S. 2007: Modeling diffusion of adsorbed polymer with explicit solvent. Physical Review Letters 98(21): 218301

Gonzalez, J.E.I.; Thompson, P.M.; Zhao, A.; Tu, Z. 2011: Modeling diffusion-weighted MRi as a spatially variant gaussian mixture: application to image denoising. Medical Physics 38(7): 4350-4364

Wedemeier, A.; Merlitz, H.; Wu, C.-X.; Langowski, J.ör. 2007: Modeling diffusional transport in the interphase cell nucleus. Journal of Chemical Physics 127(4): 045102

Matysiak, S.; Clementi, C.; Praprotnik, M.; Kremer, K.; Delle Site, L. 2008: Modeling diffusive dynamics in adaptive resolution simulation of liquid water. Journal of Chemical Physics 128(2): 024503

Symeou, V.; Edwards, S.A.; Kyriazakis, I. 2012: Modeling digestibility of dietary phosphorus in growing and finish pigs. Journal of Animal Science 90(Suppl 4): 59-61

Raspopovic, J.; Marcon, L.; Russo, L.; Sharpe, J. 2014: Modeling digits. Digit patterning is controlled by a Bmp-Sox9-Wnt Turing network modulated by morphogen gradients. Science 345(6196): 566-570

Roy, D.; Navarro-Vazquez, A.; Schleyer, P.v.R. 2009: Modeling dinitrogen activation by lithium: a mechanistic investigation of the cleavage of N2 by stepwise insertion into small lithium clusters. Journal of the American Chemical Society 131(36): 13045-13053

Agbo, P.; Heath, J.R.; Gray, H.B. 2014: Modeling dioxygen reduction at multicopper oxidase cathodes. Journal of the American Chemical Society 136(39): 13882-13887

Silvestre, N.M.; Patrício, P.; Telo da Gama, M.M.; Pattanaporkratana, A.; Park, C.S.; Maclennan, J.E.; Clark, N.A. 2009: Modeling dipolar and quadrupolar defect structures generated by chiral islands in freely suspended liquid crystal films. Physical Review. e Statistical Nonlinear and Soft Matter Physics 80(4 Part 1): 041708

Zimmer, Z.; Martin, L.G.; Nagin, D.S.; Jones, B.L. 2012: Modeling disability trajectories and mortality of the oldest-old in China. Demography 49(1): 291-314

Rapp, M.; Bassok, M.; DeWolf, M.; Holyoak, K.J. 2015: Modeling discrete and continuous entities with fractions and decimals. Journal of Experimental Psychology. Applied 21(1): 47-56

Degallier, S.; Ijspeert, A. 2010: Modeling discrete and rhythmic movements through motor primitives: a review. Biological Cybernetics 103(4): 319-338

Choudhury, M.; Ganguly, N.; Maiti, A.; Mukherjee, A.; Brusch, L.; Deutsch, A.; Peruani, F. 2010: Modeling discrete combinatorial systems as alphabetic bipartite networks: theory and applications. Physical Review. e Statistical Nonlinear and Soft Matter Physics 81(3 Part 2): 036103

Van den Bedem, H.; Dhanik, A.; Latombe, J.C.; Deacon, A.M. 2009: Modeling discrete heterogeneity in X-ray diffraction data by fitting multi-conformers. Acta Crystallographica. Section D Biological Crystallography 65(Part 10): 1107-1117

Song, H.; Chung, S-Ku.; Xu, Y. 2010: Modeling disease in human ESCs using an efficient BAC-based homologous recombination system. Cell stem cell 6(1): 80-89

Kottas, A.; Duan, J.A.; Gelfand, A.E. 2008: Modeling disease incidence data with spatial and spatio temporal dirichlet process mixtures. Biometrical Journal. Biometrische Zeitschrift 50(1): 29-42

Meyer, M.; Ortiz, O.; Hrabé de Angelis, M.; Wurst, W.; Kühn, R. 2012: Modeling disease mutations by gene targeting in one-cell mouse embryos. Proceedings of the National Academy of Sciences of the United States of America 109(24): 9354-9359

Karlsson, K.E.; Wilkins, J.J.; Jonsson, F.; Zingmark, P.-H.; Karlsson, M.O.; Jonsson, E.N. 2010: Modeling disease progression in acute stroke using clinical assessment scales. Aaps Journal 12(4): 683-691

Thomson, J.L.; Copes, W.E. 2009: Modeling disease progression of Camellia twig blight using a recurrent event model. Phytopathology 99(4): 378-384

Ma, X.; Gao, L.; Tan, K. 2014: Modeling disease progression using dynamics of pathway connectivity. Bioinformatics 30(16): 2343-2350

Xia, Z.; Secor, E.; Chibnik, L.B.; Bove, R.M.; Cheng, S.; Chitnis, T.; Cagan, A.; Gainer, V.S.; Chen, P.J.; Liao, K.P.; Shaw, S.Y.; Ananthakrishnan, A.N.; Szolovits, P.; Weiner, H.L.; Karlson, E.W.; Murphy, S.N.; Savova, G.K.; Cai, T.; Churchill, S.E.; Plenge, R.M.; Kohane, I.S.; De Jager, P.L. 2013: Modeling disease severity in multiple sclerosis using electronic health records. Plos one 8(11): E78927

Monteleon, C.L.; D'Souza-Schorey, C. 2012: Modeling disease using three dimensional cell culture: multi-lumen and inverted cyst phenotypes. Frontiers in Bioscience 4(8): 2764-2771

Valença-Barbosa, C.; Lima, M.M.; Sarquis, O.íl.; Bezerra, C.M.; Abad-Franch, F. 2014: Modeling disease vector occurrence when detection is imperfect II: Drivers of site-occupancy by synanthropic Triatoma brasiliensis in the Brazilian northeast. Plos Neglected Tropical Diseases 8(5): E2861

Abad-Franch, F.; Ferraz, G.ça.; Campos, C.; Palomeque, F.S.; Grijalva, M.J.; Aguilar, H.M.; Miles, M.A. 2010: Modeling disease vector occurrence when detection is imperfect: infestation of Amazonian palm trees by triatomine bugs at three spatial scales. Plos Neglected Tropical Diseases 4(3): E620

Healy, B.C.; Engler, D. 2009: Modeling disease-state transition heterogeneity through Bayesian variable selection. Statistics in Medicine 28(9): 1353-1368

McCaffery, A.J.; Marsh, R.J. 2010: Modeling disequilibrium in gas ensembles: how quantum state populations evolve under multicollision conditions; CO*+Ar, CO, O2, and N2. Journal of Chemical Physics 132(7): 074304

Neumann, T.; Danilov, D.; Lennartz, C.; Wenzel, W. 2013: Modeling disordered morphologies in organic semiconductors. Journal of Computational Chemistry 34(31): 2716-2725

Wang, R.Y.-R.; Han, Y.; Krassovsky, K.; Sheffler, W.; Tyka, M.; Baker, D. 2011: Modeling disordered regions in proteins using Rosetta. Plos one 6(7): E22060

Goetzman, E.S. 2011: Modeling disorders of fatty acid metabolism in the mouse. Progress in Molecular Biology and Translational Science 100: 389-417

Buckley, R.L.; Hunter, C.H.; Addis, R.P.; Parker, M.J. 2007: Modeling dispersion from toxic gas released after a train collision in Graniteville, SC. Journal of the Air and Waste Management Association 57(3): 268-278

Eichenfield, M.; Chan, J.; Safavi-Naeini, A.H.; Vahala, K.J.; Painter, O. 2009: Modeling dispersive coupling and losses of localized optical and mechanical modes in optomechanical crystals. Optics Express 17(22): 20078-20098

Medaglia, J.D.; McAleavey, A.A.; Rostami, S.; Slocomb, J.; Hillary, F.G. 2015: Modeling distinct imaging hemodynamics early after TBI: the relationship between signal amplitude and connectivity. Brain Imaging and Behavior 9(2): 285-301

Roberts, J.A.; Robinson, P.A. 2008: Modeling distributed axonal delays in mean-field brain dynamics. Physical Review. E Statistical Nonlinear and Soft Matter Physics 78(5 Pt 1): 051901

Shackelford, N.; Renton, M.; Perring, M.P.; Hobbs, R.J. 2013: Modeling disturbance-based native invasive species control and its implications for management. Ecological Applications: a Publication of the Ecological Society of America 23(6): 1331-1344

Follows, M.J.; Dutkiewicz, S. 2011: Modeling diverse communities of marine microbes. Annual Review of Marine Science 3: 427-451

Tucci, M.L.; Harrington, A.J.; Caldwell, G.A.; Caldwell, K.A. 2011: Modeling dopamine neuron degeneration in Caenorhabditis elegans. Methods in Molecular Biology 793: 129-148

Pickering, A.D.; Pesola, F. 2014: Modeling dopaminergic and other processes involved in learning from reward prediction error: contributions from an individual differences perspective. Frontiers in Human Neuroscience 8: 740

Pacchioni, G. 2008: Modeling doped and defective oxides in catalysis with density functional theory methods: room for improvements. Journal of Chemical Physics 128(18): 182505

Alloni, D.; Cutaia, C.; Mariotti, L.; Friedland, W.; Ottolenghi, A. 2014: Modeling dose deposition and DNA damage due to low-energy β(-) emitters. Radiation Research 182(3): 322-330

Cardozo, L.; Khullar, V.; El-Tahtawy, A.; Guan, Z.; Malhotra, B.; Staskin, D. 2010: Modeling dose-response relationships of the effects of fesoterodine in patients with overactive bladder. Bmc Urology 10: 14

Tarko, A.P. 2009: Modeling drivers' speed selection as a trade-off behavior. Accident; Analysis and Prevention 41(3): 608-616

Liu, M.; Jiang, M.; Kawai, V.K.; Stein, C.M.; Roden, D.M.; Denny, J.C.; Xu, H. 2011: Modeling drug exposure data in electronic medical records: an application to warfarin. AMIA . Annual Symposium Proceedings. AMIA Symposium 2011: 815-823

Siepmann, F.; Eckart, K.; Maschke, A.; Kolter, K.; Siepmann, J. 2010: Modeling drug release from PVAc/PVP matrix tablets. Journal of Controlled Release: Official Journal of the Controlled Release Society 141(2): 216-222

Verhoeven, E.; Siepmann, F.; De Beer, T.R.M.; Van Loo, D.; Van den Mooter, G.; Remon, J.P.; Siepmann, J.; Vervaet, C. 2009: Modeling drug release from hot-melt extruded mini-matrices with constant and non-constant diffusivities. European Journal of Pharmaceutics and Biopharmaceutics: Official Journal of Arbeitsgemeinschaft für Pharmazeutische Verfahrenstechnik E.V 73(2): 292-301

Bhattacharya, S.; Shoda, L.K.M.; Zhang, Q.; Woods, C.G.; Howell, B.A.; Siler, S.Q.; Woodhead, J.L.; Yang, Y.; McMullen, P.; Watkins, P.B.; Andersen, M.E. 2012: Modeling drug- and chemical-induced hepatotoxicity with systems biology approaches. Frontiers in Physiology 3: 462

Gálvez-Llompart, M.ía.; Gálvez, J.; García-Domenech, R.ón.; Kier, L.B. 2012: Modeling drug-induced anorexia by molecular topology. Journal of Chemical Information and Modeling 52(5): 1337-1344

Chibante, V.G.; Fonseca, A.M.; Salcedo, R.R. 2010: Modeling dry-scrubbing of gaseous HCl with hydrated lime in cyclones with and without recirculation. Journal of Hazardous Materials 178(1-3): 469-482

Gliozzi, A.S.; Scalerandi, M. 2014: Modeling dynamic acousto-elastic testing experiments: validation and perspectives. Journal of the Acoustical Society of America 136(4): 1530-1541

An, X.; Liu, Z.; Shi, Y.; Li, N.; Wang, Y.; Joshi, S.H. 2012: Modeling dynamic cellular morphology in images. Medical Image Computing and Computer-Assisted Intervention: Miccai . International Conference on Medical Image Computing and Computer-Assisted Intervention 15(Part 1): 340-347

Nelson, P.; Smith, N.; Ciupe, S.; Zou, W.; Omenn, G.S.; Pietropaolo, M. 2009: Modeling dynamic changes in type 1 diabetes progression: quantifying beta-cell variation after the appearance of islet-specific autoimmune responses. Mathematical Biosciences and Engineering: Mbe 6(4): 753-778

Lv, P.; Guo, L.; Hu, X.; Li, X.; Jin, C.; Han, J.; Li, L.; Liu, T. 2013: Modeling dynamic functional information flows on large-scale brain networks. Medical Image Computing and Computer-Assisted Intervention: Miccai . International Conference on Medical Image Computing and Computer-Assisted Intervention 16(Part 2): 698-705

Zhu, F.; Shi, L.; Li, H.; Eksi, R.; Engel, J.D.; Guan, Y. 2014: Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation. Bioinformatics 30(23): 3325-3333

Ruiz-Moreno, D.; Vargas, I.S.; Olson, K.E.; Harrington, L.C. 2012: Modeling dynamic introduction of Chikungunya virus in the United States. Plos Neglected Tropical Diseases 6(11): E1918

McDermott, J.E.; Jarman, K.; Taylor, R.; Lancaster, M.; Shankaran, H.; Vartanian, K.B.; Stevens, S.L.; Stenzel-Poore, M.P.; Sanfilippo, A. 2012: Modeling dynamic regulatory processes in stroke. Plos Computational Biology 8(10): E1002722

Monroig, E.; Aihara, K.; Fujino, Y. 2009: Modeling dynamics from only output data. Physical Review. E Statistical Nonlinear and Soft Matter Physics 79(5 Part 2): 056208

Bertaux, F.ço.; Stoma, S.; Drasdo, D.; Batt, G. 2014: Modeling dynamics of cell-to-cell variability in TRAIL-induced apoptosis explains fractional killing and predicts reversible resistance. Plos Computational Biology 10(10): E1003893

Pawelek, K.A.; Niehaus, P.; Salmeron, C.; Hager, E.J.; Hunt, G.J. 2014: Modeling dynamics of culex pipiens complex populations and assessing abatement strategies for West Nile Virus. Plos one 9(9): E108452

Nikolaev, V.P. 2008: Modeling dynamics of decompression disease risk under high-altitude decompression. Biofizika 53(1): 139-150

McKenzie, R.; Zurawsky, W.; Mijovic, J. 2012: Modeling dynamics of isotropic dielectrics in a laminar heterogeneous configuration. Journal of Physical Chemistry. B 116(14): 4346-4353

Korecka, J.A.; Eggers, R.; Swaab, D.F.; Bossers, K.; Verhaagen, J. 2013: Modeling early Parkinson's disease pathology with chronic low dose MPTP treatment. Restorative Neurology and Neuroscience 31(2): 155-167

Grosset, J.; Almeida, D.; Converse, P.J.; Tyagi, S.; Li, S.-Y.; Ammerman, N.C.; Pym, A.S.; Wallengren, K.; Hafner, R.; Lalloo, U.; Swindells, S.; Bishai, W.R. 2012: Modeling early bactericidal activity in murine tuberculosis provides insights into the activity of isoniazid and pyrazinamide. Proceedings of the National Academy of Sciences of the United States of America 109(37): 15001-15005

Meyer, J.S.; Shearer, R.L.; Capowski, E.E.; Wright, L.S.; Wallace, K.A.; McMillan, E.L.; Zhang, S.-C.; Gamm, D.M. 2009: Modeling early retinal development with human embryonic and induced pluripotent stem cells. Proceedings of the National Academy of Sciences of the United States of America 106(39): 16698-16703

Chen, X.; Lunn, S.; Harris, C.; Li, X.; Deveaux, L.; Marshall, S.; Cottrell, L.; Stanton, B. 2010: Modeling early sexual initiation among young adolescents using quantum and continuous behavior change methods: implications for HIV prevention. Nonlinear Dynamics Psychology and Life Sciences 14(4): 491-509

Hurwitz, B.L.; Westveld, A.H.; Brum, J.R.; Sullivan, M.B. 2014: Modeling ecological drivers in marine viral communities using comparative metagenomics and network analyses. Proceedings of the National Academy of Sciences of the United States of America 111(29): 10714-10719

Knick, S.T.; Hanser, S.E.; Preston, K.L. 2013: Modeling ecological minimum requirements for distribution of greater sage-grouse leks: implications for population connectivity across their western range, U.S.A. Ecology and Evolution 3(6): 1539-1551

Revankar, N.; Ward, A.J.; Pelligra, C.G.; Kongnakorn, T.; Fan, W.; LaPensee, K.T. 2014: Modeling economic implications of alternative treatment strategies for acute bacterial skin and skin structure infections. Journal of Medical Economics 17(10): 730-740

Das, R.; Nachbar, R.B.; Edelstein-Keshet, L.; Saltzman, J.S.; Wiener, M.C.; Bagchi, A.; Bailey, J.; Coombs, D.; Simon, A.J.; Hargreaves, R.J.; Cook, J.J. 2011: Modeling effect of a γ-secretase inhibitor on amyloid-β dynamics reveals significant role of an amyloid clearance mechanism. Bulletin of Mathematical Biology 73(1): 230-247

Kyr, M.; Fedora, M.; Elbl, L.; Kugan, N.; Michalek, J. 2007: Modeling effect of the septic condition and trauma on C-reactive protein levels in children with sepsis: a retrospective study. Critical Care 11(3): R70

Belz, R.G.; Piepho, H.-P. 2012: Modeling effective dosages in hormetic dose-response studies. Plos one 7(3): E33432

Zhang, X.; Zhang, M. 2011: Modeling effectiveness of agricultural BMPs to reduce sediment load and organophosphate pesticides in surface runoff. Science of the Total Environment 409(10): 1949-1958

Von Benda-Beckmann, A.M.; Wensveen, P.J.; Kvadsheim, P.H.; Lam, F.-P.A.; Miller, P.J.O.; Tyack, P.L.; Ainslie, M.A. 2014: Modeling effectiveness of gradual increases in source level to mitigate effects of sonar on marine mammals. Conservation Biology: the Journal of the Society for Conservation Biology 28(1): 119-128

Kekenes-Huskey, P.M.; Cheng, Y.; Hake, J.E.; Sachse, F.B.; Bridge, J.H.; Holst, M.J.; McCammon, J.A.; McCulloch, A.D.; Michailova, A.P. 2012: Modeling effects of L-type ca(2+) current and na(+)-ca(2+) exchanger on ca(2+) trigger flux in rabbit myocytes with realistic T-tubule geometries. Frontiers in Physiology 3: 351

Dziuba, J.; Alperin, P.; Racketa, J.; Iloeje, U.; Goswami, D.; Hardy, E.; Perlstein, I.; Grossman, H.L.; Cohen, M. 2014: Modeling effects of SGLT-2 inhibitor dapagliflozin treatment versus standard diabetes therapy on cardiovascular and microvascular outcomes. Diabetes Obesity and Metabolism 16(7): 628-635

Valentín, A.; Humphrey, J.D. 2009: Modeling effects of axial extension on arterial growth and remodeling. Medical and Biological Engineering and Computing 47(9): 979-987

Krumhansl, K.A.; Lauzon-Guay, J.-S.éb.; Scheibling, R.E. 2014: Modeling effects of climate change and phase shifts on detrital production of a kelp bed. Ecology 95(3): 763-774

Pandey, P.K.; Ndegwa, P.M.; Alldredge, J.R.; Pitts, M.; Soupir, M.L. 2010: Modeling effects of granules on the start-up of anaerobic digestion of dairy wastewater with Langmuir and extended Freundlich equations. Bioprocess and Biosystems Engineering 33(7): 833-845

Teng, S.; Madej, T.; Panchenko, A.; Alexov, E. 2009: Modeling effects of human single nucleotide polymorphisms on protein-protein interactions. Biophysical Journal 96(6): 2178-2188

Boedecker, J.; Lampe, T.; Riedmiller, M. 2013: Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems. Frontiers in Psychology 4: 739

Premo, L.S.; Kuhn, S.L. 2010: Modeling effects of local extinctions on culture change and diversity in the paleolithic. Plos one 5(12): E15582

Roverud, E.M.; Strickland, E.A. 2013: Modeling effects of precursor duration on behavioral estimates of cochlear gain. Advances in Experimental Medicine and Biology 787: 55-63

Johnson, W.B.; Fatone, S.; Gard, S.A. 2013: Modeling effects of sagittal-plane hip joint stiffness on reciprocating gait orthosis-assisted gait. Journal of Rehabilitation Research and Development 50(10): 1449-1456

Arle, J.E.; Carlson, K.W.; Mei, L.; Shils, J.L. 2014: Modeling effects of scar on patterns of dorsal column stimulation. Neuromodulation: Journal of the International Neuromodulation Society 17(4): 320-333; Discussion 333

Zhang, T.C.; Janik, J.J.; Grill, W.M. 2014: Modeling effects of spinal cord stimulation on wide-dynamic range dorsal horn neurons: influence of stimulation frequency and GABAergic inhibition. Journal of Neurophysiology 112(3): 552-567

Skene, K.J.; Gent, J.F.; McKay, L.A.; Belanger, K.; Leaderer, B.P.; Holford, T.R. 2010: Modeling effects of traffic and landscape characteristics on ambient nitrogen dioxide levels in Connecticut. Atmospheric Environment 44(39): 5156-5164

Silva, H.R.; Phelan, P.E.; Golden, J.S. 2010: Modeling effects of urban heat island mitigation strategies on heat-related morbidity: a case study for Phoenix, Arizona, USA. International Journal of Biometeorology 54(1): 13-22

Islam, R.; Chyou, P.-H.; Burmester, J.K. 2013: Modeling efficacy of bevacizumab treatment for metastatic colon cancer. Journal of Cancer 4(4): 330-335

Lee, R.H.; Bott, M.J.; Gajewski, B.; Taunton, R.L. 2009: Modeling efficiency at the process level: an examination of the care planning process in nursing homes. Health Services Research 44(1): 15-32

Mbanga, B.L.; Ye, F.; Selinger, J.V.; Selinger, R.L.B. 2010: Modeling elastic instabilities in nematic elastomers. Physical Review. e Statistical Nonlinear and Soft Matter Physics 82(5 Part 1): 051701

Chen, J.; Cheng, L.; Su, Z.; Qin, L. 2013: Modeling elastic waves in coupled media: Estimate of soft tissue influence and application to quantitative ultrasound. Ultrasonics 53(2): 350-362

Hassan, A.; El-Shenawee, M. 2009: Modeling electrical activities of a growing breast cancerous cell based on a semiconductor approach. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2009: 3905-3908

Lin, J.; Keener, J.P. 2010: Modeling electrical activity of myocardial cells incorporating the effects of ephaptic coupling. Proceedings of the National Academy of Sciences of the United States of America 107(49): 20935-20940

Bao, W.S.; Meguid, S.A.; Zhu, Z.H.; Meguid, M.J. 2011: Modeling electrical conductivities of nanocomposites with aligned carbon nanotubes. Nanotechnology 22(48): 485704

Zohdi, T.I. 2014: Modeling electrical power absorption and thermally-induced biological tissue damage. Biomechanics and Modeling in Mechanobiology 13(1): 115-121

Kshetrimayum, R.; Yadava, R.D.S.; Tandon, R.P. 2011: Modeling electrical response of polymer-coated SAW resonators by equivalent circuit representation. Ultrasonics 51(5): 547-553

Roy, S.; Brownell, W.E.; Spector, A.A. 2012: Modeling electrically active viscoelastic membranes. Plos one 7(5): E37667

Eckstein, H.-C.; Zeitner, U.D. 2013: Modeling electro-optical characteristics of broad area semiconductor lasers based on a quasi-stationary multimode analysis. Optics Express 21(20): 23231-23240

Coombes, S.; Venkov, N.A.; Shiau, L.; Bojak, I.; Liley, D.T.J.; Laing, C.R. 2007: Modeling electrocortical activity through improved local approximations of integral neural field equations. Physical Review. E Statistical Nonlinear and Soft Matter Physics 76(5 Part 1): 051901

Wulsin, D.F.; Gupta, J.R.; Mani, R.; Blanco, J.A.; Litt, B. 2011: Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement. Journal of Neural Engineering 8(3): 036015

Pan, Y.; Ni, B.-J.; Yuan, Z. 2013: Modeling electron competition among nitrogen oxides reduction and N2O accumulation in denitrification. Environmental Science and Technology 47(19): 11083-11091

Hickstein, D.D.; Cole, J.M.; Turner, M.J.; Jayatilaka, D. 2013: Modeling electron density distributions from X-ray diffraction to derive optical properties: constrained wavefunction versus multipole refinement. Journal of Chemical Physics 139(6): 064108

Carrington, J.M.; Effken, J.A. 2007: Modeling electronic documentation as a communication system. AMIA .. Annual Symposium Proceedings. AMIA Symposium 2007: 890

Vicente, T.; Peixoto, C.; Alves, P.M.; Carrondo, M.J.T. 2010: Modeling electrostatic interactions of baculovirus vectors for ion-exchange process development. Journal of Chromatography. a 1217(24): 3754-3764

Shklyaev, O.E.; Mockensturm, E.; Crespi, V.H. 2011: Modeling electrostatically induced collapse transitions in carbon nanotubes. Physical Review Letters 106(15): 155501

Thilakavathi, R.; Balasubramanian, N.; Ahmed Basha, C. 2009: Modeling electrowinning process in an expanded bed electrode. Journal of Hazardous Materials 162(1): 154-160

Arbab, A.; Kontodimas, D.C.; McNeill, M.R. 2008: Modeling embryo development of Sitona discoideus Gyllenhal (Coleoptera: Curculionidae) under constant temperature. Environmental Entomology 37(6): 1381-1388

Yaniv, S.; Jaffa, A.J.; Elad, D. 2012: Modeling embryo transfer into a closed uterine cavity. Journal of Biomechanical Engineering 134(11): 111003

Beyer, T.; Meyer-Hermann, M. 2007: Modeling emergent tissue organization involving high-speed migrating cells in a flow equilibrium. Physical Review. E Statistical Nonlinear and Soft Matter Physics 76(2 Part 1): 021929

Chang, L.J.; Koban, L. 2013: Modeling emotion and learning of norms in social interactions. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 33(18): 7615-7617

Tran-Duc, T.; Thamwattana, N. 2011: Modeling encapsulation of acetylene molecules into carbon nanotubes. Journal of Physics. Condensed Matter: An Institute of Physics Journal 23(22): 225302

Wang, S.-S.; Fu, J.; Qiu, M.; Huang, K.-J.; Ma, Z.; Tong, L.-M. 2008: Modeling endface output patterns of optical micro/nanofibers. Optics Express 16(12): 8887-8895

Hendrix, A.O.; Hughes, C.L.; Selgrade, J.F. 2014: Modeling endocrine control of the pituitary-ovarian axis: androgenic influence and chaotic dynamics. Bulletin of Mathematical Biology 76(1): 136-156

Harris, L.A.; Selgrade, J.F. 2014: Modeling endocrine regulation of the menstrual cycle using delay differential equations. Mathematical Biosciences 257: 11-22

Alford, J.G.; Lutterschmidt, W.I. 2012: Modeling energetic and theoretical costs of thermoregulatory strategy. Journal of Biological Dynamics 6: 63-79

Skouterisl, G.; Arnot, T.C.; Jraou, M.; Feki, F.; Sayadi, S. 2014: Modeling energy consumption in membrane bioreactors for wastewater treatment in north Africa. Water Environment Research: a Research Publication of the Water Environment Federation 86(3): 232-244

Berkelbach, T.C.; Colgan, J.; Abdallah, J.; Faenov, A.Y.; Pikuz, T.A.; Fukuda, Y.; Yamakawa, K. 2009: Modeling energy dependence of the inner-shell x-ray emission produced by femtosecond-pulse laser irradiation of xenon clusters. Physical Review. e Statistical Nonlinear and Soft Matter Physics 79(1 Part 2): 016407

Yang, Y.; Adolph, A.L.; Puyau, M.R.; Vohra, F.A.; Butte, N.F.; Zakeri, I.F. 2013: Modeling energy expenditure in children and adolescents using quantile regression. Journal of Applied Physiology 115(2): 251-259

Gennemark, P.; Hjorth, S.; Gabrielsson, J. 2015: Modeling energy intake by adding homeostatic feedback and drug intervention. Journal of Pharmacokinetics and Pharmacodynamics 42(1): 79-96

Viswanathan, U.; Basak, D.; Venkataraman, D.; Fermann, J.T.; Auerbach, S.M. 2011: Modeling energy landscapes of proton motion in nonaqueous, tethered proton wires. Journal of Physical Chemistry. a 115(21): 5423-5434

Waldispühl, J.ér.ôm.; O'Donnell, C.W.; Devadas, S.; Clote, P.; Berger, B. 2008: Modeling ensembles of transmembrane beta-barrel proteins. Proteins 71(3): 1097-1112

Mennucci, B. 2013: Modeling environment effects on spectroscopies through QM/classical models. Physical Chemistry Chemical Physics: Pccp 15(18): 6583-6594

Rico, A.; Geng, Y.; Focks, A.; Van den Brink, P.J. 2013: Modeling environmental and human health risks of veterinary medicinal products applied in pond aquaculture. Environmental Toxicology and Chemistry 32(5): 1196-1207

Götz, K.; Meier, F.; Gatti, C.; Burow, A.ör.M.; Sierka, M.; Sauer, J.; Kaupp, M. 2010: Modeling environmental effects on charge density distributions in polar organometallics: validation of embedded cluster models for the methyl lithium crystal. Journal of Computational Chemistry 31(14): 2568-2576

Liu, Y.; Yang, S.; Chen, J. 2012: Modeling environmental impacts of urban expansion: a systematic method for dealing with uncertainties. Environmental Science and Technology 46(15): 8236-8243

Richard, S.A.; McCormick, B.J.J.; Miller, M.A.; Caulfield, L.E.; Checkley, W.; Acosta, A.Mendez.; Chavez, C.Banda.; Flores, J.Torres.; Olotegui, M.Paredes.; Pinedo, S.Rengifo.; Trigoso, D.Rengifo.; Vasquez, A.Orbe.; Ahmed, I.; Alam, D.; Ali, A.; Bhutta, Z.A.; Qureshi, S.; Shakoor', S.; Soofi, S.; Turab, A.; Yousafzai, A.K.; Zaidi, A.K.M.; Bodhidatta, L.; Mason, C.J.; Babji, S.; Bose, A.; John, S.; Kang, G.; Kurien, B.; Muliyil, J.; Raghava, M.Venkata.; Ramachandran, A.; Rose, A.; Pan, W.; Ambikapathi, R.; Carreon, D.; Charu, V.; Dabo, L.; Doan, V.; G 2014: Modeling environmental influences on child growth in the MAL-ED cohort study: opportunities and challenges. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America 59 Suppl. 4: S255-S260

Guarnaccia, C.; Quartieri, J.; Barrios, J.M.; Rodrigues, E.R. 2014: Modeling environmental noise exceedances using non-homogeneous Poisson processes. Journal of the Acoustical Society of America 136(4): 1631-1639

Duke, J.E.; Blanton, J.D.; Ivey, M.; Rupprecht, C. 2013: Modeling enzootic raccoon rabies from land use patterns - Georgia (USA) 2006-2010. F1000Research 2: 285

Luterbacher, J.S.; Moran-Mirabal, J.M.; Burkholder, E.W.; Walker, L.P. 2015: Modeling enzymatic hydrolysis of lignocellulosic substrates using confocal fluorescence microscopy I: filter paper cellulose. Biotechnology and Bioengineering 112(1): 21-31

Luterbacher, J.S.; Moran-Mirabal, J.M.; Burkholder, E.W.; Walker, L.P. 2015: Modeling enzymatic hydrolysis of lignocellulosic substrates using fluorescent confocal microscopy II: pretreated biomass. Biotechnology and Bioengineering 112(1): 32-42

Johnson, P.M.; Kundu, S.; Beers, K.L. 2011: Modeling enzymatic kinetic pathways for ring-opening lactone polymerization. Biomacromolecules 12(9): 3337-3343

Albaek, M.O.; Gernaey, K.V.; Hansen, M.S.; Stocks, S.M. 2011: Modeling enzyme production with Aspergillus oryzae in pilot scale vessels with different agitation, aeration, and agitator types. Biotechnology and Bioengineering 108(8): 1828-1840

Shang, Y. 2013: Modeling epidemic spread with awareness and heterogeneous transmission rates in networks. Journal of Biological Physics 39(3): 489-500

Ben-Zion, Y.; Cohen, Y.; Shnerb, N.M. 2010: Modeling epidemics dynamics on heterogenous networks. Journal of Theoretical Biology 264(2): 197-204

Jost, D.; Carrivain, P.; Cavalli, G.; Vaillant, C.éd. 2014: Modeling epigenome folding: formation and dynamics of topologically associated chromatin domains. Nucleic Acids Research 42(15): 9553-9561

Wheeler, D.C.; Waller, L.A.; Elliott, J.O. 2008: Modeling epilepsy disparities among ethnic groups in Philadelphia, PA. Statistics in Medicine 27(20): 4069-4085

Muotri, A.R. 2009: Modeling epilepsy with pluripotent human cells. Epilepsy and Behavior: E&b 14(Suppl 1): 81-85

Maheswaran, S.; Speight, P.M.; Hammond, P. 2007: Modeling epithelial cell behavior and organization. IEEE Transactions on Nanobioscience 6(1): 77-85

Weinstein, A.M. 1999: Modeling epithelial cell homeostasis: steady-state analysis. Bulletin of Mathematical Biology 61(6): 1065-1091

De Ridder, D.J.; Villacorte, L.; Verliefde, A.R.D.; Verberk, J.Q.J.C.; Heijman, S.G.J.; Amy, G.L.; van Dijk, J.C. 2010: Modeling equilibrium adsorption of organic micropollutants onto activated carbon. Water Research 44(10): 3077-3086

De Koning, M.; Antonelli, A. 2008: Modeling equilibrium concentrations of Bjerrum and molecular point defects and their complexes in ice Ih. Journal of Chemical Physics 128(16): 164502

Attewell, J.E.; Cox, R.E.; Barnier, A.J.; Langdon, R. 2012: Modeling erotomania delusion in the laboratory with hypnosis. International Journal of Clinical and Experimental Hypnosis 60(1): 1-30

Nusser, S.M.; Beyler, N.K.; Welk, G.J.; Carriquiry, A.L.; Fuller, W.A.; King B, M.N. 2012: Modeling errors in physical activity recall data. Journal of Physical Activity and Health 9(Suppl 1): S56-S67

Fischer, S.; Kurbatova, P.; Bessonov, N.; Gandrillon, O.; Volpert, V.; Crauste, F. 2012: Modeling erythroblastic islands: using a hybrid model to assess the function of central macrophage. Journal of Theoretical Biology 298: 92-106

Thibodeaux, J.J. 2010: Modeling erythropoiesis subject to malaria infection. Mathematical Biosciences 225(1): 59-67

Ferrin, P.; Simonetti, D.; Kandoi, S.; Kunkes, E.; Dumesic, J.A.; Nørskov, J.K.; Mavrikakis, M. 2009: Modeling ethanol decomposition on transition metals: a combined application of scaling and Brønsted-Evans-Polanyi relations. Journal of the American Chemical Society 131(16): 5809-5815

Murisic, N.; Kondic, L. 2008: Modeling evaporation of sessile drops with moving contact lines. Physical Review. E Statistical Nonlinear and Soft Matter Physics 78(6 Part 2): 065301

Zhang, L.; Ma, J.; Venkatesh, S.; Li, Y.-F.; Cheung, P. 2008: Modeling evidence of episodic intercontinental long-range transport of lindane. Environmental Science and Technology 42(23): 8791-8797

Dimitrov, D.T.; King, A.A. 2008: Modeling evolution and persistence of neurological viral diseases in wild populations. Mathematical Biosciences and Engineering: Mbe 5(4): 729-741

Gorbunov, K.I.; Liubetskaia, E.V.; Asarin, E.A.; Liubetskiĭ, V.A. 2009: Modeling evolution of regulatory signals for gene expression in bacteria. Molekuliarnaia Biologiia 43(3): 527-541

Kang, J.; Huang, F.; Onstad, D.W. 2014: Modeling evolution of resistance of sugarcane borer (Lepidoptera: Crambidae) to transgenic Bt corn. Environmental Entomology 43(4): 1084-1104

Duffy, S. 2001: Chronic pelvic pain: defining the scope of the problem. International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics 74(Suppl 1): S3-S7

McCandlish, D.M.; Stoltzfus, A. 2014: Modeling evolution using the probability of fixation: history and implications. Quarterly Review of Biology 89(3): 225-252

Sottoriva, A.; Vermeulen, L.; Tavaré, S. 2011: Modeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors. Plos Computational Biology 7(5): E1001132

Goldwasser, D.L.; Kimmel, M. 2010: Modeling excess lung cancer risk among screened arm participants in the Mayo Lung Project. Cancer 116(1): 122-131

Kellendonk, C. 2009: Modeling excess striatal D2 receptors in mice. Progress in Brain Research 179: 59-65

Medeiros, M.C.; Veiga, A.; Pedreira, C.E. 2001: Modeling exchange rates: smooth transitions, neural networks, and linear models. IEEE Transactions on Neural Networks 12(4): 755-764

Chow, W.W. 2011: Modeling excitation-dependent bandstructure effects on InGaN light-emitting diode efficiency. Optics Express 19(22): 21818-21831

Kattnig, D.R.; Reichenwallner, J.ör.; Hinderberger, D. 2013: Modeling excluded volume effects for the faithful description of the background signal in double electron-electron resonance. Journal of Physical Chemistry. B 117(51): 16542-16557

Zhu, S.; Wang, G.; Liu, B.; Wang, Y. 2013: Modeling exon expression using histone modifications. Plos one 8(6): E67448

Kluge, B.ła.; Gambin, A.; Niemiro, W. 2009: Modeling exopeptidase activity from LC-MS data. Journal of Computational Biology: a Journal of Computational Molecular Cell Biology 16(2): 395-406

Lai, J.-M.; Hwang, Y.-T.; Chou, C.-C. 2012: Modeling exotic highly pathogenic avian influenza virus entrance risk through air passenger violations. Risk Analysis: An Official Publication of the Society for Risk Analysis 32(6): 1093-1103

Eriksson, J.; Fenyö, D. 2010: Modeling experimental design for proteomics. Methods in Molecular Biology 673: 223-230

Scheres, S.H.W.; Núñez-Ramírez, R.; Gómez-Llorente, Y.; San Martín, C.; Eggermont, P.P.B.; Carazo, J.é M.ía. 2007: Modeling experimental image formation for likelihood-based classification of electron microscopy data. Structure 15(10): 1167-1177

Brown, S.; Steyvers, M.; Hemmer, P. 2007: Modeling experimentally induced strategy shifts. Psychological Science 18(1): 40-45

Martin, J.M.; Beshears, J.; Milkman, K.L.; Bazerman, M.H.; Sutherland, L.A. 2009: Modeling expert opinions on food healthfulness: a nutrition metric. Journal of the American Dietetic Association 109(6): 1088-1091

Cheng, K-Chung.; Acevedo-Bolton, V.; Jiang, R-Ting.; Klepeis, N.E.; Ott, W.R.; Fringer, O.B.; Hildemann, L.M. 2011: Modeling exposure close to air pollution sources in naturally ventilated residences: association of turbulent diffusion coefficient with air change rate. Environmental Science and Technology 45(9): 4016-4022

Lederman, S.Ann.; Becker, M.; Sheets, S.; Stein, J.; Tang, D.; Weiss, L.; Perera, F.P. 2008: Modeling exposure to air pollution from the WTC disaster based on reports of perceived air pollution. Risk Analysis: An Official Publication of the Society for Risk Analysis 28(2): 287-301

Gasparrini, A. 2014: Modeling exposure-lag-response associations with distributed lag non-linear models. Statistics in Medicine 33(5): 881-899

Yanosky, J.D.; Tonne, C.C.; Beevers, S.D.; Wilkinson, P.; Kelly, F.J. 2012: Modeling exposures to the oxidative potential of PM10. Environmental Science and Technology 46(14): 7612-7620

Hsiao, C.-L.; Lian, I.-B.; Hsieh, A.-R.; Fann, C.S. 2010: Modeling expression quantitative trait loci in data combining ethnic populations. Bmc Bioinformatics 11: 111

Keller, M.C.; Medland, S.E.; Duncan, L.E.; Hatemi, P.K.; Neale, M.C.; Maes, H.H.M.; Eaves, L.J. 2009: Modeling extended twin family data I: description of the Cascade model. Twin Research and Human Genetics: the Official Journal of the International Society for Twin Studies 12(1): 8-18

Medland, S.E.; Keller, M.C. 2009: Modeling extended twin family data II: power associated with different family structures. Twin Research and Human Genetics: the Official Journal of the International Society for Twin Studies 12(1): 19-25

Swinarski, M.; Makinia, J.; Stensel, H.D.; Czerwionka, K.; Drewnowski, J. 2012: Modeling external carbon addition in biological nutrient removal processes with an extension of the international water association activated sludge model. Water environment research: a research publication of the Water Environment Federation 84(8): 646-655

Moeyaert, M.; Ugille, M.; Ferron, J.M.; Beretvas, S.Natasha.; Van den Noortgate, W. 2013: Modeling external events in the three-level analysis of multiple-baseline across-participants designs: a simulation study. Behavior Research Methods 45(2): 547-559

Chen, Y. 2013: Modeling extinction risk of endemic birds of mainland china. International Journal of Evolutionary Biology 2013: 639635

Meffin, H.; Tahayori, B.; Grayden, D.B.; Burkitt, A.N. 2012: Modeling extracellular electrical stimulation: I. Derivation and interpretation of neurite equations. Journal of Neural Engineering 9(6): 065005

Tahayori, B.; Meffin, H.; Dokos, S.; Burkitt, A.N.; Grayden, D.B. 2012: Modeling extracellular electrical stimulation: II. Computational validation and numerical results. Journal of Neural Engineering 9(6): 065006

Harjanto, D.; Zaman, M.H. 2013: Modeling extracellular matrix reorganization in 3D environments. Plos one 8(1): E52509

Einevoll, G.T.; Wójcik, D.K.; Destexhe, A. 2010: Modeling extracellular potentials. Journal of Computational Neuroscience 29(3): 367-369

Yunes, N.ás.; Buonanno, A.; Hughes, S.A.; Miller, M.C.; Pan, Y. 2010: Modeling extreme mass ratio inspirals within the effective-one-body approach. Physical Review Letters 104(9): 091102

Burgman, M.; Franklin, J.; Hayes, K.R.; Hosack, G.R.; Peters, G.W.; Sisson, S.A. 2012: Modeling extreme risks in ecology. Risk Analysis: An Official Publication of the Society for Risk Analysis 32(11): 1956-1966

Gershman, D.J.; Zurbuchen, T.H. 2010: Modeling extreme ultraviolet suppression of electrostatic analyzers. Review of Scientific Instruments 81(4): 045111

Montague, E.; Xu, J.; Chen, P.-Y.; Asan, O.; Barrett, B.P.; Chewning, B. 2011: Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis. Human Factors 53(5): 502-516

Foulsham, T.; Barton, J.J.S.; Kingstone, A.; Dewhurst, R.; Underwood, G. 2011: Modeling eye movements in visual agnosia with a saliency map approach: bottom-up guidance or top-down strategy?. Neural Networks: the Official Journal of the International Neural Network Society 24(6): 665-677

Rumpf, R.C.; Johnson, E.G. 2007: Modeling fabrication to accurately place GMR resonances. Optics Express 15(6): 3452-3464

Maillet, Ér.; Mathieu, L.; Sicotte, C. 2015: Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: an extension of the UTAUT. International Journal of Medical Informatics 84(1): 36-47

Wang, Y.-H.; Yang, Y.-R.; Pan, P.-J.; Wang, R.-Y. 2014: Modeling factors predictive of functional improvement following acute stroke. Journal of the Chinese Medical Association: Jcma 77(9): 469-476

Anderson, R.; Anderson, D.; Hurst, C. 2010: Modeling factors that influence exercise and dietary change among midlife Australian women: results from the Healthy Aging of Women Study. Maturitas 67(2): 151-158

Logue, M.D.; Effken, J.A. 2012: Modeling factors that influence personal health records adoption. Computers Informatics Nursing: Cin 30(7): 354-362

Levites, H.A.; Fourman, M.S.; Phillips, B.T.; Fromm, I.M.; Khan, S.U.; Dagum, A.B.; Bui, D.T. 2014: Modeling fade patterns of nipple areola complex tattoos following breast reconstruction. Annals of Plastic Surgery 73(Suppl 2): S153-S156

Volokh, K.Y. 2011: Modeling failure of soft anisotropic materials with application to arteries. Journal of the Mechanical Behavior of Biomedical Materials 4(8): 1582-1594

Kucinski, A.; Paolone, G.; Bradshaw, M.; Albin, R.L.; Sarter, M. 2013: Modeling fall propensity in Parkinson's disease: deficits in the attentional control of complex movements in rats with cortical-cholinergic and striatal-dopaminergic deafferentation. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 33(42): 16522-16539

Englund, E.; Aldahan, A.; Possnert, Göran.; Haltia-Hovi, E.; Hou, X.; Renberg, I.; Saarinen, T. 2008: Modeling fallout of anthropogenic 129I. Environmental Science and Technology 42(24): 9225-9230

Yagi, T.; Ito, D.; Okada, Y.; Akamatsu, W.; Nihei, Y.; Okano, H.; Suzuki, N. 2012: Modeling familial Alzheimer's disease with induced pluripotent stem cells. Rinsho Shinkeigaku 52(11): 1134-1136

Garringer, H.J.; Murrell, J.; D'Adamio, L.; Ghetti, B.; Vidal, R. 2010: Modeling familial British and Danish dementia. Brain Structure and Function 214(2-3): 235-244

Coomaraswamy, J.; Kilger, E.; Wölfing, H.; Schäfer, C.; Kaeser, S.A.; Wegenast-Braun, B.M.; Hefendehl, J.K.; Wolburg, H.; Mazzella, M.; Ghiso, J.; Goedert, M.; Akiyama, H.; Garcia-Sierra, F.; Wolfer, D.P.; Mathews, P.M.; Jucker, M. 2010: Modeling familial Danish dementia in mice supports the concept of the amyloid hypothesis of Alzheimer's disease. Proceedings of the National Academy of Sciences of the United States of America 107(17): 7969-7974

Berg, I.; Thor, S.; Hammarström, P. 2009: Modeling familial amyloidotic polyneuropathy (Transthyretin V30M) in Drosophila melanogaster. Neuro-Degenerative Diseases 6(3): 127-138

Shih, J.H.; Albert, P.S. 2010: Modeling familial association of ages at onset of disease in the presence of competing risk. Biometrics 66(4): 1012-1023

Raspa, M.; Bailey, D.B.; Bann, C.; Bishop, E. 2014: Modeling family adaptation to fragile X syndrome. American Journal on Intellectual and Developmental Disabilities 119(1): 33-48

Ide, S. 2014: Modeling fast and slow earthquakes at various scales. Proceedings of the Japan Academy. Series B Physical and Biological Sciences 90(8): 259-277

Bugmann, G. 2012: Modeling fast stimulus-response association learning along the occipito-parieto-frontal pathway following rule instructions. Brain Research 1434: 73-89

Benitez, P.L.; Kamimori, G.H.; Balkin, T.J.; Greene, A.; Johnson, M.L. 2009: Modeling fatigue over sleep deprivation, circadian rhythm, and caffeine with a minimal performance inhibitor model. Methods in Enzymology 454: 405-421

Kim, K.; Brunner, I.M.; Yamashita, E. 2008: Modeling fault among accident--involved pedestrians and motorists in Hawaii. Accident; Analysis and Prevention 40(6): 2043-2049

Haque, M.M.; Chin, H.C.; Huang, H. 2009: Modeling fault among motorcyclists involved in crashes. Accident; Analysis and Prevention 41(2): 327-335

Liu, W.-C.; Chan, W.-T.; Young, C.-C. 2015: Modeling fecal coliform contamination in a tidal Danshuei River estuarine system. Science of the Total Environment 502: 632-640

McLain, A.C.; Sundaram, R.; Buck Louis, G.M. 2016: Modeling fecundity in the presence of a sterile fraction using a semi-parametric transformation model for grouped survival data. Statistical Methods in Medical Research 25(1): 22-36

Poor, E.E.; Jakes, A.; Loucks, C.; Suitor, M. 2014: Modeling fence location and density at a regional scale for use in wildlife management. Plos one 9(1): E83912

Villandré, L.; Hutcheon, J.A.; Trejo, M.E.P.; Abenhaim, H.; Jacobsen, G.; Platt, R.W. 2011: Modeling fetal weight for gestational age: a comparison of a flexible multi-level spline-based model with other approaches. International Journal of Biostatistics 7(1)

Van Leeuwen, P.; Geue, D.; Lange, S.; Grönemeyer, D.H.W. 2009: Modeling fetal--maternal heart-rate interaction. IEEE Engineering in Medicine and Biology Magazine: the Quarterly Magazine of the Engineering in Medicine and Biology Society 28(6): 49-53

Tan, P.; Hong, L. 2013: Modeling fibril fragmentation in real-time. Journal of Chemical Physics 139(8): 084904

Mallmann, F.áb.J.K.; dos Santos, D.R.; Ceretta, C.A.; Cella, C.; Simůnek, J.; van Oort, F. 2012: Modeling field-scale vertical movement of zinc and copper in a pig slurry-amended soil in Brazil. Journal of Hazardous Materials 243: 223-231

Kudryavtseva, N.N.; Smagin, D.A.; Bondar, N.P. 2011: Modeling fighting deprivation effect in mouse repeated aggression paradigm. Progress in Neuro-Psychopharmacology and Biological Psychiatry 35(6): 1472-1478

Tamulonis, C.; Postma, M.; Kaandorp, J. 2011: Modeling filamentous cyanobacteria reveals the advantages of long and fast trichomes for optimizing light exposure. Plos one 6(7): E22084

Francis, G. 2010: Modeling filling-in of afterimages. Attention Perception and Psychophysics 72(1): 19-22

Patel, M.J.; Gundabala, V.R.; Routh, A.F. 2010: Modeling film formation of polymer-clay nanocomposite particles. Langmuir: the Acs Journal of Surfaces and Colloids 26(6): 3962-3971

Chu, D.; Barnes, D.J. 2010: Modeling fimbriae mediated parasite-host interactions. Journal of Theoretical Biology 264(4): 1169-1176

Whitman, E.; Rapaport, E.; Sherren, K. 2013: Modeling fire susceptibility to delineate wildland-urban interface for municipal-scale fire risk management. Environmental Management 52(6): 1427-1439

Vernon, R.J.W.; Sutherland, C.A.M.; Young, A.W.; Hartley, T. 2014: Modeling first impressions from highly variable facial images. Proceedings of the National Academy of Sciences of the United States of America 111(32): E3353-E3361

Fonseca, V.F.; Vasconcelos, R.P.; França, S.; Serafim, A.; Lopes, B.; Company, R.; Bebianno, M.J.; Costa, M.J.; Cabral, H.N. 2014: Modeling fish biological responses to contaminants and natural variability in estuaries. Marine Environmental Research 96: 45-55

Ospina-Álvarez, A.és.; Bernal, M.; Catalán, I.A.; Roos, D.; Bigot, J.-L.; Palomera, I. 2013: Modeling fish egg production and spatial distribution from acoustic data: a step forward into the analysis of recruitment. Plos one 8(9): E73687

Fenichel, E.P.; Tsao, J.I.; Jones, M.L. 2009: Modeling fish health to inform research and management: Renibacterium salmoninarum dynamics in Lake Michigan. Ecological Applications: a Publication of the Ecological Society of America 19(3): 747-760

Barthelmé, S.; Trukenbrod, H.; Engbert, R.; Wichmann, F. 2013: Modeling fixation locations using spatial point processes. Journal of Vision 13(12)

Binns, M.; de Visser, S.P.; Theodoropoulos, C. 2012: Modeling flexible pharmacophores with distance geometry, scoring, and bound stretching. Journal of Chemical Information and Modeling 52(2): 577-588

Zhang, Y.; Isukapalli, S.; Georgopoulos, P.; Weisel, C. 2013: Modeling flight attendants' exposures to pesticide in disinsected aircraft cabins. Environmental Science and Technology 47(24): 14275-14281

Sultana, S.; Chen, Z. 2009: Modeling flood induced interdependencies among hydroelectricity generating infrastructures. Journal of Environmental Management 90(11): 3272-3282

Frelinger, J.; Ottinger, J.; Gouttefangeas, C.éc.; Chan, C. 2010: Modeling flow cytometry data for cancer vaccine immune monitoring. Cancer Immunology Immunotherapy: Cii 59(9): 1435-1441

Mihaescu, M.; Gutmark, E.; Murugappan, S.; Elluru, R.; Cohen, A.; Willging, J.P. 2009: Modeling flow in a compromised pediatric airway breathing air and heliox. Laryngoscope 119(1): 145-151

Hernández-Ortiz, J.P.; Gettelfinger, B.T.; Moreno-Razo, J.; de Pablo, J.J. 2011: Modeling flows of confined nematic liquid crystals. Journal of Chemical Physics 134(13): 134905

Yamanishi, T.; Liu, J.-Q.; Nishimura, H. 2012: Modeling fluctuations in default-mode brain network using a spiking neural network. International Journal of Neural Systems 22(4): 1250016

Hill, S.C.; Saleheen, H.I.; Barnes, M.D.; Whitten, W.B.; Ramsey, J.M. 1996: Modeling fluorescence collection from single molecules in microspheres: effects of position, orientation, and frequency. Applied Optics 35(31): 6278-6288

Zhou, X.; Novotny, J.E.; Wang, L. 2008: Modeling fluorescence recovery after photobleaching in loaded bone: potential applications in measuring fluid and solute transport in the osteocytic lacunar-canalicular system. Annals of Biomedical Engineering 36(12): 1961-1977

Wu, J.; Yu, C.C. 2012: Modeling flux noise in SQUIDs due to hyperfine interactions. Physical Review Letters 108(24): 247001

Roostapour, A.; Kam, S.I. 2012: Modeling foam delivery mechanisms in deep vadose-zone remediation using method of characteristics. Journal of Hazardous Materials 243: 37-51

Jackman, K.; Kunz, A.; Iadecola, C. 2011: Modeling focal cerebral ischemia in vivo. Methods in Molecular Biology 793: 195-209

Sassaroli, E.; Li, K.C.P.; O'Neill, B.E. 2012: Modeling focused ultrasound exposure for the optimal control of thermal dose distribution. Thescientificworldjournal 2012: 252741

Shan, M.; Tan, J. 2007: Modeling focusing characteristics of low Fnumber diffractive optical elements with continuous relief fabricated by laser direct writing. Optics Express 15(25): 17032-17037

McCulloh, D.H.; Maseelall, P.; Colon, J.M.; McGovern, P.G. 2012: Modeling follicle stimulating hormone levels in serum for controlled ovarian hyperstimulation I: comparing gonadotropin products. Current Pharmaceutical Biotechnology 13(3): 435-443

McCulloh, D.H.; Colon, J.M.; McGovern, P.G. 2012: Modeling follicle stimulating hormone levels in serum for controlled ovarian hyperstimulation III: improved gonadotropin administration. Current Pharmaceutical Biotechnology 13(3): 454-463

Zhu, X.; Cheng, S.-Y. 2012: Modeling follicular thyroid cancer for future therapies. American Journal of Cancer Research 2(2): 130-140

Bryce, P.J. 2009: Modeling food allergy: pathways to therapy. Expert Review of Clinical Immunology 5(3): 225-228

Koutsoumanis, K. 2009: Modeling food spoilage in microbial risk assessment. Journal of Food Protection 72(2): 425-427

Lee, J.-S.; Park, S.-H.; Moon, J.-W.; Lee, J.; Park, Y.G.; Roh, Y.K. 2011: Modeling for Estimating Influenza Patients from ILi Surveillance Data in Korea. Osong Public Health and Research Perspectives 2(2): 89-93

Postek, M.T.; Vladár, A.ás.E. 2011: Modeling for accurate dimensional scanning electron microscope metrology: then and now. Scanning 33(3): 111-125

Okada, J-ichi.; Sugiura, S.; Hisada, T. 2013: Modeling for cardiac excitation propagation based on the Nernst-Planck equation and homogenization. Physical Review. E Statistical Nonlinear and Soft Matter Physics 87(6): 062701

Bruni, C.; De Santis, A.; Iacoviello, D.; Koch, G. 2001: Modeling for edge detection problems in blurred noisy images. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society 10(10): 1447-1453

Diekmann, S.; Zwart, S.D. 2014: Modeling for fairness: a Rawlsian approach. Studies in History and Philosophy of Science 46: 46-53

Pun, S.H.; Gao, Y.M.; Mak, P.U.; Du, M.; Vai, M.I. 2009: Modeling for intra-body communication with bone effect. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2009: 693-696

Hur, J.-H.; Kim, K.M.; Chang, M.; Lee, S.R.; Lee, D.; Lee, C.B.; Lee, M.-J.; Kim, Y.-B.; Kim, C.-J.; Chung, U.-I. 2012: Modeling for multilevel switching in oxide-based bipolar resistive memory. Nanotechnology 23(22): 225702

Via, B.K.; Adhikari, S.; Taylor, S. 2013: Modeling for proximate analysis and heating value of torrefied biomass with vibration spectroscopy. Bioresource Technology 133: 1-8

El-Masri, H. 2013: Modeling for regulatory purposes (risk and safety assessment). Methods in Molecular Biology 930: 297-303

Ivira, B.; Benech, P.; Fillit, R.é; Ndagijimana, F.; Ancey, P.; Parat, G. 2008: Modeling for temperature compensation and temperature characterizations of BAW resonators at GHz frequencies. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 55(2): 421-430

Bond, W.F.; King, A.E. 2011: Modeling for the decision process to implement an educational intervention: an example of a central venous catheter insertion course. Journal of Patient Safety 7(2): 85-91

Antolak, S.J.; Antolak, C.M. 2018: Chronic Pelvic Pain: Neurogenic or Non-Neurogenic? Warm Detection Threshold Testing Supports a Diagnosis of Pudendal Neuropathy. Pain Physician 21(2): E125-E135

Quist, B.W.; Seghete, V.; Huet, L.A.; Murphey, T.D.; Hartmann, M.J.Z. 2014: Modeling forces and moments at the base of a rat vibrissa during noncontact whisking and whisking against an object. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 34(30): 9828-9844

Walsh, S.J.; Curran, J.M.; Buckleton, J.S. 2010: Modeling forensic DNA database performance. Journal of Forensic Sciences 55(5): 1174-1183

Larsen, P.E.; Cseke, L.J.; Miller, R.M.; Collart, F.R. 2014: Modeling forest ecosystem responses to elevated carbon dioxide and ozone using artificial neural networks. Journal of Theoretical Biology 359: 61-71

Machado, D.; Costa, R.S.; Rocha, M.; Ferreira, E.én.C.; Tidor, B.; Rocha, I. 2011: Modeling formalisms in Systems Biology. Amb Express 1: 45

Yilmaz, L.S.; Loy, A.; Wright, E.S.; Wagner, M.; Noguera, D.R. 2012: Modeling formamide denaturation of probe-target hybrids for improved microarray probe design in microbial diagnostics. Plos one 7(8): E43862

Schupp, T. 2013: Modeling formation and distribution of toluene-2,4-diamine (TDA) after spillage of toluene-2,4-diisocyanate (TDI) into a river. Journal of Hazardous Materials 252-253: 70-76

Dong, F.; Zhang, H.-M.; Yang, F.-L. 2012: Modeling formation of aerobic granule and influence of hydrodynamic shear forces on granule diameter. Huan Jing Ke Xue= Huanjing Kexue 33(1): 181-190

Hamner, H.C.; Tinker, S.C.; Berry, R.J.; Mulinare, J. 2013: Modeling fortification of corn masa flour with folic acid: the potential impact on exceeding the tolerable upper intake level for folic acid, NHANES 2001-2008. Food and Nutrition Research 57

Bright, J.-A.; Buckleton, J.S.; Taylor, D.; Fernando, M.A.C.S.S.; Curran, J.M. 2014: Modeling forward stutter: toward increased objectivity in forensic DNA interpretation. Electrophoresis 35(21-22): 3152-3157

Swart, P.; Dewulf, J. 2013: Modeling fossil energy demands of primary nonferrous metal production: the case of copper. Environmental Science and Technology 47(24): 13917-13924

Alcaráz, M.R.; Siano, G.G.; Culzoni, M.ía.J.; Muñoz de la Peña, A.; Goicoechea, H.éc.C. 2014: Modeling four and three-way fast high-performance liquid chromatography with fluorescence detection data for quantitation of fluoroquinolones in water samples. Analytica Chimica Acta 809: 37-46

Chen, Y. 2011: Modeling fractal structure of city-size distributions using correlation functions. Plos one 6(9): E24791

Marsh, R.E.; Riauka, T.A. 2007: Modeling fractal-like drug elimination kinetics using an interacting random-walk model. Physical Review. E Statistical Nonlinear and Soft Matter Physics 75(3 Part 1): 031902

Wabnik, K.; Robert, H.él.èn.S.; Smith, R.S.; Friml, J.ří 2013: Modeling framework for the establishment of the apical-basal embryonic axis in plants. Current Biology: Cb 23(24): 2513-2518

Chamberlin, A.C.; Levitt, D.G.; Cramer, C.J.; Truhlar, D.G. 2008: Modeling free energies of solvation in olive oil. Molecular Pharmaceutics 5(6): 1064-1079

Chang, T.R.; Chiu, T.W.; Sun, X.; Poon, P.W.F. 2012: Modeling frequency modulated responses of midbrain auditory neurons based on trigger features and artificial neural networks. Brain Research 1434: 90-101

Arpin, S.L.; Cushing, J.M. 2008: Modeling frequency-dependent selection with an application to cichlid fish. Mathematical biosciences and engineering: MBE 5(4): 889-903

Stensgaard, A.S.; Jørgensen, A.; Kabatereine, N.B.; Rahbek, C.; Kristensen, T.K. 2006: Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda. Geospatial Health 1(1): 93-104

Braun, O.M.; Peyrard, M. 2008: Modeling friction on a mesoscale: master equation for the earthquakelike model. Physical Review Letters 100(12): 125501

Ricken, T.; Werner, D.; Holzhütter, H.G.; König, M.; Dahmen, U.; Dirsch, O. 2015: Modeling function-perfusion behavior in liver lobules including tissue, blood, glucose, lactate and glycogen by use of a coupled two-scale PDE-ODE approach. Biomechanics and Modeling in Mechanobiology 14(3): 515-536

Burns, G.A.P.C.; Turner, J.A. 2013: Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV). Neuroimage 82: 662-670

Staicu, A.-M.; Crainiceanu, C.M.; Reich, D.S.; Ruppert, D. 2012: Modeling functional data with spatially heterogeneous shape characteristics. Biometrics 68(2): 331-343

Niggemann, J.ör.M.; Gebert, A.; Schulz, S. 2008: Modeling functional neuroanatomy for an anatomy information system. Journal of the American Medical Informatics Association: Jamia 15(5): 671-678

Mayorga, L.S.; Campoy, E.M. 2010: Modeling fusion/fission-dependent intracellular transport of fluid phase markers. Traffic 11(7): 1001-1015

Larssen, T.ør.; Cosby, B.J.; Lund, E.; Wright, R.F. 2010: Modeling future acidification and fish populations in Norwegian surface waters. Environmental Science and Technology 44(14): 5345-5351

Hobbelen, P.H.F.; Samuel, M.D.; LaPointe, D.A.; Atkinson, C.T. 2012: Modeling future conservation of Hawaiian honeycreepers by mosquito management and translocation of disease-tolerant Amakihi. Plos one 7(11): E49594

Jeen, S.-W.; Amos, R.T.; Blowes, D.W. 2012: Modeling gas formation and mineral precipitation in a granular iron column. Environmental Science and Technology 46(12): 6742-6749

Dorenbos, G.; Morohoshi, K. 2011: Modeling gas permeation through membranes by kinetic Monte Carlo: applications to H2, O2, and N2 in hydrated Nafion®. Journal of Chemical Physics 134(4): 044133

Vasiev, B.; Balter, A.; Chaplain, M.; Glazier, J.A.; Weijer, C.J. 2010: Modeling gastrulation in the chick embryo: formation of the primitive streak. Plos one 5(5): E10571

Kim, I.; Chakrabarty, S.; Brzezinski, P.; Warshel, A. 2014: Modeling gating charge and voltage changes in response to charge separation in membrane proteins. Proceedings of the National Academy of Sciences of the United States of America 111(31): 11353-11358

Cieniawa, J.; Baszak, J.; Olchowik, G.; Widomska, J. 2013: Modeling gender effects on electrical activity of single ventricular myocytes. Computers in Biology and Medicine 43(8): 1063-1072

Andersson, T.; Nilsson, C.; Kjellin, E.; Toljander, J.; Welinder-Olsson, C.; Lindmark, H. 2011: Modeling gene associations for virulence classification of verocytotoxin-producing E. coli (VTEC) from patients and beef. Virulence 2(1): 41-53

Rohlfs, R.V.; Harrigan, P.; Nielsen, R. 2014: Modeling gene expression evolution with an extended Ornstein-Uhlenbeck process accounting for within-species variation. Molecular Biology and Evolution 31(1): 201-211

Rué, P.; Garcia-Ojalvo, J. 2013: Modeling gene expression in time and space. Annual Review of Biophysics 42: 605-627

Szöllosi, G.J.; Daubin, V. 2012: Modeling gene family evolution and reconciling phylogenetic discord. Methods in Molecular Biology 856: 29-51

Cao, J.; Qi, X.; Zhao, H. 2012: Modeling gene regulation networks using ordinary differential equations. Methods in Molecular Biology 802: 185-197

Fioravanti, F.; Helmer-Citterich, M.; Nardelli, E. 2012: Modeling gene regulatory network motifs using Statecharts. Bmc Bioinformatics 13(Suppl 4): S20

Fajardo, A.; Recarey, R.; de Mora, D.; D' Andrea, L.ía.; Alvarez, M.; Regato, M.; Colina, R.; Khan, B.; Cristina, J. 2009: Modeling gene sequence changes over time in type 3 dengue viruses from Ecuador. Virus Research 141(1): 105-109

Goñi, N.; Fajardo, A.; Moratorio, G.; Colina, R.; Cristina, J. 2009: Modeling gene sequences over time in 2009 H1N1 influenza a virus populations. Virology Journal 6: 215

McEachin, R.C.; Keller, B.J.; Saunders, E.F.H.; McInnis, M.G. 2008: Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach. Biodata Mining 1(1): 2

Foraita, R.; Bammann, K.; Pigeot, I. 2008: Modeling gene-gene interactions using graphical chain models. Human Heredity 65(1): 47-56

Roth, D.M.; Balch, W.E. 2011: Modeling general proteostasis: proteome balance in health and disease. Current Opinion in Cell Biology 23(2): 126-134

Wen, S.; Wang, C.; Berg, A.; Li, Y.; Chang, M.M.; Fillingim, R.B.; Wallace, M.R.; Staud, R.; Kaplan, L.; Wu, R. 2009: Modeling genetic imprinting effects of DNA sequences with multilocus polymorphism data. Algorithms for Molecular Biology: Amb 4: 11

Wang, K.; Chen, Z.; Tadesse, M.G.; Glessner, J.; Grant, S.F.A.; Hakonarson, H.; Bucan, M.; Li, M. 2008: Modeling genetic inheritance of copy number variations. Nucleic Acids Research 36(21): E138

Kauff, N.D.; Offit, K. 2007: Modeling genetic risk of breast cancer. JAMA 297(23): 2637-2639

Daley, T.; Smith, A.D. 2014: Modeling genome coverage in single-cell sequencing. Bioinformatics 30(22): 3159-3165

Wu, S.; Liu, Z.-P.; Qiu, X.; Wu, H. 2014: Modeling genome-wide dynamic regulatory network in mouse lungs with influenza infection using high-dimensional ordinary differential equations. Plos one 9(5): E95276

Busch, N.; Wedemann, G. 2009: Modeling genomic data with type attributes, balancing stability and maintainability. Bmc Bioinformatics 10: 97

Bolouri, H. 2014: Modeling genomic regulatory networks with big data. Trends in Genetics: Tig 30(5): 182-191

Cronk, C.E.; Gangnon, R.; Cossette, S.; McElroy, J.A.; Pelech, A.N. 2011: Modeling geographic risk of complex congenital heart defects in Eastern Wisconsin. Birth Defects Research. Part a Clinical and Molecular Teratology 91(7): 631-641

Gougouli, M.; Koutsoumanis, K.P. 2012: Modeling germination of fungal spores at constant and fluctuating temperature conditions. International Journal of Food Microbiology 152(3): 153-161

Rusan, Z.M.; Kingsford, O.A.; Tanouye, M.A. 2014: Modeling glial contributions to seizures and epileptogenesis: cation-chloride cotransporters in Drosophila melanogaster. Plos one 9(6): E101117

Witte, H.T.; Jeibmann, A.; Klämbt, C.; Paulus, W. 2009: Modeling glioma growth and invasion in Drosophila melanogaster. Neoplasia 11(9): 882-888

Hogea, C.; Davatzikos, C.; Biros, G. 2007: Modeling glioma growth and mass effect in 3D MR images of the brain. Medical Image Computing and Computer-Assisted Intervention: Miccai . International Conference on Medical Image Computing and Computer-Assisted Intervention 10(Part 1): 642-650

Thomaseth, K.; Brehm, A.; Pavan, A.; Pacini, G.; Roden, M. 2014: Modeling glucose and free fatty acid kinetics during insulin-modified intravenous glucose tolerance test in healthy humans: role of counterregulatory response. American Journal of Physiology. Regulatory Integrative and Comparative Physiology 307(3): R321-R331

Groenendaal, W.; Schmidt, K.A.; von Basum, G.; van Riel, N.A.W.; Hilbers, P.A.J. 2008: Modeling glucose and water dynamics in human skin. Diabetes Technology and Therapeutics 10(4): 283-293

Bouteiller, J.-M.C.; Baudry, M.; Allam, S.L.; Greget, R.J.; Bischoff, S.; Berger, T.W. 2008: Modeling glutamatergic synapses: insights into mechanisms regulating synaptic efficacy. Journal of Integrative Neuroscience 7(2): 185-197

Mushayabasa, S.; Tchuenche, J.M.; Bhunu, C.P.; Ngarakana-Gwasira, E. 2011: Modeling gonorrhea and HIV co-interaction. Bio Systems 103(1): 27-37

Caro, J.Jaime.; Briggs, A.H.; Siebert, U.; Kuntz, K.M. 2012: Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Medical Decision Making: An International Journal of the Society for Medical Decision Making 32(5): 667-677

Inoue, L.Y.T.; Trock, B.J.; Partin, A.W.; Carter, H.B.; Etzioni, R. 2014: Modeling grade progression in an active surveillance study. Statistics in Medicine 33(6): 930-939

Wu, S.; Wu, D.; Liang, J.; Berthod, A. 2012: Modeling gradient elution in countercurrent chromatography: efficient separation of tanshinones from Salvia miltiorrhiza Bunge. Journal of Separation Science 35(8): 964-976

Christensen, A.L.; Lundbye-Christensen, S.ør.; Overvad, K.; Rasmussen, L.H.; Dethlefsen, C. 2012: Modeling gradually changing seasonal variation in count data using state space models: a cohort study of hospitalization rates of stroke in atrial fibrillation patients in Denmark from 1977 to 2011. Bmc Medical Research Methodology 12: 174

Chen, X.; Li, J.; Xu, L.; Liu, L.; Ding, D. 2014: Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data. International Journal of Biometeorology 58(4): 463-471

Hashempour, M.; Arani, Z.M.; Lombardi, F. 2010: Modeling gross damage in tile-based nanomanufacturing by DNA self-assembly. IEEE Transactions on Nanobioscience 9(3): 193-203

Migliavacca, M.; Meroni, M.; Busetto, L.; Colombo, R.; Zenone, T.; Matteucci, G.; Manca, G.; Seufert, G. 2009: Modeling gross primary production of agro-forestry ecosystems by assimilation of satellite-derived information in a process-based model. Sensors 9(2): 922-942

Bredehoeft, J. 2012: Modeling groundwater flow--the beginnings. Ground Water 50(3): 325-329

Singh, S.K.; Srivastava, P.K.; Singh, D.; Han, D.; Gautam, S.K.; Pandey, A.C. 2015: Modeling groundwater quality over a humid subtropical region using numerical indices, earth observation datasets, and X-ray diffraction technique: a case study of Allahabad district, India. Environmental Geochemistry and Health 37(1): 157-180

Mumford, J.A.; Poldrack, R.A. 2007: Modeling group fMRi data. Social Cognitive and Affective Neuroscience 2(3): 251-257

Bakali, J.V.; Baldwin, S.A.; Lorentzen, S. 2009: Modeling group process constructs at three stages in group psychotherapy. PsychoTherapy Research: Journal of the Society for PsychoTherapy Research 19(3): 332-343

Alberti, G. 2014: Modeling group size and scalar stress by logistic regression from an archaeological perspective. Plos one 9(3): E91510

Peters, C.; Ennis, C. 2009: Modeling groups of plausible virtual pedestrians. IEEE Computer Graphics and Applications 29(4): 54-63

Janakiraman, V.; Englert, D.; Jayaraman, A.; Baskaran, H. 2009: Modeling growth and quorum sensing in biofilms grown in microfluidic chambers. Annals of Biomedical Engineering 37(6): 1206-1216

Olofsson, P.; Bertuch, A.A. 2010: Modeling growth and telomere dynamics in Saccharomyces cerevisiae. Journal of Theoretical Biology 263(3): 353-359

Posada-Izquierdo, G.D.; Pérez-Rodríguez, F.; López-Gálvez, F.; Allende, A.; Gil, M.ía.I.; Zurera, G. 2014: Modeling growth of Escherichia coli O157:H7 in fresh-cut lettuce treated with neutral electrolyzed water and under modified atmosphere packaging. International Journal of Food Microbiology 177: 1-8

Kocán, P.; Sobotík, P.; Ost'ádal, I.; Setvín, M.; Haviar, S. 2009: Modeling growth of one-dimensional islands: influence of reactive defects. Physical Review. e Statistical Nonlinear and Soft Matter Physics 80(6 Part 1): 061603

Reis, F.áb.D.A.A.ão.; Badiali, J.P.; di Caprio, D. 2012: Modeling growth of organized nanoporous structures by anodic oxidation. Langmuir: the Acs Journal of Surfaces and Colloids 28(36): 13034-13041

Dagnas, S.ép.; Onno, B.; Membré, J.-M. 2014: Modeling growth of three bakery product spoilage molds as a function of water activity, temperature and pH. International Journal of Food Microbiology 186: 95-104

Zelinsky, G.J.; Peng, Y.; Berg, A.C.; Samaras, D. 2013: Modeling guidance and recognition in categorical search: bridging human and computer object detection. Journal of Vision 13(3): 30

Fonseca, C.R.; Coutinho, R.M.; Azevedo, F.; Berbert, J.M.; Corso, G.; Kraenkel, R.A. 2013: Modeling habitat split: landscape and life history traits determine amphibian extinction thresholds. Plos one 8(6): E66806

Bellis, L.M.; Pidgeon, A.M.; Radeloff, V.C.; St-Louis, V.ér.; Navarro, J.ín.L.; Martella, M.ón.B. 2008: Modeling habitat suitability for Greater Rheas based on satellite image texture. Ecological Applications: a Publication of the Ecological Society of America 18(8): 1956-1966

Egbert, M.D.; Barandiaran, X.E. 2014: Modeling habits as self-sustaining patterns of sensorimotor behavior. Frontiers in Human Neuroscience 8: 590

Laxminarayan, S.; Tadmor, G.; Diamond, S.G.; Miller, E.; Franceschini, M.Angela.; Brooks, D.H. 2011: Modeling habituation in rat EEG-evoked responses via a neural mass model with feedback. Biological Cybernetics 105(5-6): 371-397

Lenk, F.; Sürmann, A.; Oberthür, P.; Schneider, M.; Steingroewer, J.; Bley, T. 2014: Modeling hairy root tissue growth in in vitro environments using an agent-based, structured growth model. Bioprocess and Biosystems Engineering 37(6): 1173-1184

Zhang, L.; Liu, R.; Wang, Z.; Culver, D.A.; Wu, R. 2012: Modeling haplotype-haplotype interactions in case-control genetic association studies. Frontiers in Genetics 3: 2

Kansal, A.R.; Zheng, Y.; Palencia, R.; Ruffolo, A.; Hass, B.; Sorensen, S.V. 2013: Modeling hard clinical end-point data in economic analyses. Journal of Medical Economics 16(11): 1327-1343

Raudies, F.; Neumann, H. 2013: Modeling heading and path perception from optic flow in the case of independently moving objects. Frontiers in Behavioral Neuroscience 7: 23

Ponce, E.; Ponce, D.; Andresen, M. 2014: Modeling heading in adult soccer players. IEEE Computer Graphics and Applications 34(5): 8-13

Ringel, J.S.; Eibner, C.; Girosi, F.; Cordova, A.; McGlynn, E.A. 2010: Modeling health care policy alternatives. Health Services Research 45(5 Part 2): 1541-1558

Yang, H.; Duvall, S.; Ratcliffe, A.; Jeffries, D.; Stevens, W. 2013: Modeling health impact of global health programs implemented by Population Services International. Bmc Public Health 13 Suppl. 2: S3

Lin, T.H.; Tsai, M.-H. 2013: Modeling health survey data with excessive zero and K responses. Statistics in Medicine 32(9): 1572-1583

Mayo, N.E.; Scott, S.C.; Bayley, M.; Cheung, A.; Garland, J.; Jutai, J.; Wood-Dauphinee, S. 2015: Modeling health-related quality of life in people recovering from stroke. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment Care and Rehabilitation 24(1): 41-53

Dias, R.Dm.; Cook, T.W.; Freire, S.M. 2011: Modeling healthcare authorization and claim submissions using the openEHR dual-model approach. Bmc Medical Informatics and Decision Making 11: 60

van Elk, R.; Mot, E.; Franses, P.Hans. 2010: Modeling healthcare expenditures: overview of the literature and evidence from a panel time-series model. Expert Review of Pharmacoeconomics and Outcomes Research 10(1): 25-35

Dean, D.C.; O'Muircheartaigh, J.; Dirks, H.; Waskiewicz, N.; Lehman, K.; Walker, L.; Han, M.; Deoni, S.C.L. 2014: Modeling healthy male white matter and myelin development: 3 through 60months of age. Neuroimage 84: 742-752

Zanella, F.; Lyon, R.C.; Sheikh, F. 2014: Modeling heart disease in a dish: from somatic cells to disease-relevant cardiomyocytes. Trends in Cardiovascular Medicine 24(1): 32-44

Olufsen, M.S.; Alston, A.V.; Tran, H.T.; Ottesen, J.T.; Novak, V. 2008: Modeling heart rate regulation--part I: sit-to-stand versus head-up tilt. Cardiovascular Engineering 8(2): 73-87

Fowler, K.R.; Gray, G.A.; Olufsen, M.S. 2008: Modeling heart rate regulation--part II: parameter identification and analysis. Cardiovascular Engineering 8(2): 109-119

Meyer, J.ör.; Reuter, K. 2014: Modeling heat dissipation at the nanoscale: an embedding approach for chemical reaction dynamics on metal surfaces. Angewandte Chemie 53(18): 4721-4724

Song, A.S.; Diller, K.R. 2009: Modeling heat shock protein expression produced by a heat wrap. Journal of Biomechanical Engineering 131(7): 074510

Carabaño, M.J.; Bachagha, K.; Ramón, M.; Díaz, C. 2014: Modeling heat stress effect on Holstein cows under hot and dry conditions: selection tools. Journal of Dairy Science 97(12): 7889-7904

Házi, G.áb.; Márkus, A. 2008: Modeling heat transfer in supercritical fluid using the lattice Boltzmann method. Physical Review. e Statistical Nonlinear and Soft Matter Physics 77(2 Part 2): 026305

Wichterich, H.; Henrich, M.J.; Breuer, H.-P.; Gemmer, J.; Michel, M. 2007: Modeling heat transport through completely positive maps. Physical Review. e Statistical Nonlinear and Soft Matter Physics 76(3 Part 1): 031115

Willemsen, S.P.; de Ridder, M.; Eilers, P.H.C.; Hokken-Koelega, A.; Lesaffre, E. 2014: Modeling height for children born small for gestational age treated with growth hormone. Statistical Methods in Medical Research 23(4): 333-345

Eggimann, B.L.; Vostrikov, V.V.; Veglia, G.; Siepmann, J.I. 2013: Modeling helical proteins using residual dipolar couplings, sparse long-range distance constraints and a simple residue-based force field. Theoretical Chemistry Accounts 132(10): 1388

Akushevich, I.V.; Veremeyeva, G.A.; Dimov, G.P.; Ukraintseva, S.V.; Arbeev, K.G.; Akleyev, A.V.; Yashin, A.I. 2011: Modeling hematopoietic system response caused by chronic exposure to ionizing radiation. Radiation and Environmental Biophysics 50(2): 299-311

Hu, S.; Olulade, O.; Castillo, J.G.; Santos, J.; Kim, S.; Tamer, G.G.; Luh, W.-M.; Talavage, T.M. 2010: Modeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise. Neuroimage 49(4): 3027-3038

Ren, Z.; Wang, S.L.; Singer, M.A. 2012: Modeling hemodynamics in an unoccluded and partially occluded inferior vena cava under rest and exercise conditions. Medical and Biological Engineering and Computing 50(3): 277-287

Taelman, L.; Degroote, J.; Verdonck, P.; Vierendeels, J.; Segers, P. 2013: Modeling hemodynamics in vascular networks using a geometrical multiscale approach: numerical aspects. Annals of Biomedical Engineering 41(7): 1445-1458

Boretti, F.S.; Baek, J.H.; Palmer, A.F.; Schaer, D.J.; Buehler, P.W. 2014: Modeling hemoglobin and hemoglobin:haptoglobin complex clearance in a non-rodent species-pharmacokinetic and therapeutic implications. Frontiers in Physiology 5: 385

Heh, D.Y.; Tan, E.L. 2011: Modeling hemoglobin at optical frequency using the unconditionally stable fundamental ADI-FDTD method. Biomedical Optics Express 2(5): 1169-1183

Rong, Z.; Cooper, C.E. 2013: Modeling hemoglobin nitrite reductase activity as a mechanism of hypoxic vasodilation?. Advances in Experimental Medicine and Biology 789: 361-368

Williams, D.P. 2014: Modeling hepatic drug metabolism and toxicity: where are we heading?. Future Medicinal Chemistry 6(7): 725-727

Dalla Man, C.; Piccinini, F.; Basu, R.; Basu, A.; Rizza, R.A.; Cobelli, C. 2013: Modeling hepatic insulin sensitivity during a meal: validation against the euglycemic hyperinsulinemic clamp. American Journal of Physiology. Endocrinology and Metabolism 304(8): E819-E825

Hochrath, K.; Ehnert, S.; Ackert-Bicknell, C.L.; Lau, Y.; Schmid, A.; Krawczyk, M.; Hengstler, J.G.; Dunn, J.; Hiththetiya, K.; Rathkolb, B.; Micklich, K.; Hans, W.; Fuchs, H.; Gailus-Durner, V.ér.; Wolf, E.; de Angelis, M.H.ě; Dooley, S.; Paigen, B.; Wildemann, B.; Lammert, F.; Nüssler, A.K. 2013: Modeling hepatic osteodystrophy in Abcb4 deficient mice. Bone 55(2): 501-511

Keng, V.W.; Tschida, B.R.; Bell, J.B.; Largaespada, D.A. 2011: Modeling hepatitis B virus X-induced hepatocellular carcinoma in mice with the Sleeping Beauty transposon system. Hepatology 53(3): 781-790

Schwartz, R.E.; Trehan, K.; Andrus, L.; Sheahan, T.P.; Ploss, A.; Duncan, S.A.; Rice, C.M.; Bhatia, S.N. 2012: Modeling hepatitis C virus infection using human induced pluripotent stem cells. Proceedings of the National Academy of Sciences of the United States of America 109(7): 2544-2548

Tullis, R.H.; Duffin, R.P.; Ichim, T.E.; Joyce, J.A.; Levin, N.W. 2010: Modeling hepatitis C virus therapies combining drugs and lectin affinity plasmapheresis. Blood Purification 29(2): 210-215

Ng, K.-M.; Tse, H.-F. 2012: Modeling hereditary cardiac disease with patient-specific-induced pluripotent stem cells: opportunities and concerns. Journal of Cardiovascular Pharmacology 60(4): 406-407

Gerdtzen, Z.P.; Salgado, J.C.; Osses, A.; Asenjo, J.A.; Rapaport, I.; Andrews, B.A. 2009: Modeling heterocyst pattern formation in cyanobacteria. Bmc Bioinformatics 10(Suppl 6): S16

Loquiha, O.; Hens, N.; Chavane, L.; Temmerman, M.; Aerts, M. 2013: Modeling heterogeneity for count data: a study of maternal mortality in health facilities in Mozambique. Biometrical Journal. Biometrische Zeitschrift 55(5): 647-660

Jiao, Y.; Stillinger, F.H.; Torquato, S. 2008: Modeling heterogeneous materials via two-point correlation functions. II. Algorithmic details and applications. Physical Review. E Statistical Nonlinear and Soft Matter Physics 77(3 Part 1): 031135

Jiao, Y.; Stillinger, F.H.; Torquato, S. 2007: Modeling heterogeneous materials via two-point correlation functions: basic principles. Physical Review. E Statistical Nonlinear and Soft Matter Physics 76(3 Part 1): 031110

Brennand, K.J.; Landek-Salgado, M.A.; Sawa, A. 2014: Modeling heterogeneous patients with a clinical diagnosis of schizophrenia with induced pluripotent stem cells. Biological Psychiatry 75(12): 936-944

Chowdhury, S.; Al-Zahrani, M. 2014: Modeling heterotrophic bacteria in plumbing system of drinking water. Water Environment Research: a Research Publication of the Water Environment Federation 86(6): 504-512

Matsui, Y.; Ando, N.; Yoshida, T.; Kurotobi, R.; Matsushita, T.; Ohno, K. 2011: Modeling high adsorption capacity and kinetics of organic macromolecules on super-powdered activated carbon. Water Research 45(4): 1720-1728

Mediavilla, C.; Tortajada, J.; Baonza, V.G. 2009: Modeling high pressure reactivity in unsaturated systems: application to dimethylacetylene. Journal of Computational Chemistry 30(3): 415-422

Monbouquette, H.G. 1992: Modeling high-biomass-density cell recycle fermentors. Biotechnology and Bioengineering 39(5): 498-503

González-Pedro, V.; Xu, X.; Mora-Seró, I.án.; Bisquert, J. 2010: Modeling high-efficiency quantum dot sensitized solar cells. Acs Nano 4(10): 5783-5790

Karst, A.M.; Levanon, K.; Drapkin, R. 2011: Modeling high-grade serous ovarian carcinogenesis from the fallopian tube. Proceedings of the National Academy of Sciences of the United States of America 108(18): 7547-7552

Kim, S.; Li, M.; Lee, S.; Mitra, U.; Emken, A.; Spruijt-Metz, D.; Annavaram, M.; Narayanan, S. 2011: Modeling high-level descriptions of real-life physical activities using latent topic modeling of multimodal sensor signals. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2011: 6033-6036

Köster, U.; Sohl-Dickstein, J.; Gray, C.M.; Olshausen, B.A. 2014: Modeling higher-order correlations within cortical microcolumns. Plos Computational Biology 10(7): E1003684

Bareil, P.B.; Sheng, Y. 2013: Modeling highly focused laser beam in optical tweezers with the vector Gaussian beam in the T-matrix method. Journal of the Optical Society of America. a Optics Image Science and Vision 30(1): 1-6

Opher, T.; Ostfeld, A.; Friedler, E. 2009: Modeling highway runoff pollutant levels using a data driven model. Water Science and Technology: a Journal of the International Association on Water Pollution Research 60(1): 19-28

Abul-Magd, A.Y. 2007: Modeling highway-traffic headway distributions using superstatistics. Physical Review. E Statistical Nonlinear and Soft Matter Physics 76(5 Part 2): 057101

Yu, D.X.; Di Giorgio, F.P.; Yao, J.; Marchetto, M.C.; Brennand, K.; Wright, R.; Mei, A.; McHenry, L.; Lisuk, D.; Grasmick, J.M.; Silberman, P.; Silberman, G.; Jappelli, R.; Gage, F.H. 2014: Modeling hippocampal neurogenesis using human pluripotent stem cells. Stem Cell Reports 2(3): 295-310

Courellis, S.H.; Zanos, T.P.; Hsiao, M.C.; Hampson, R.E.; Deadwyler, S.A.; Marmarelis, V.Z.; Berger, T.W. 2006: Modeling hippocampal nonlinear dynamic transformations with principal dynamic modes. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2006: 2300-2303

Pavanello, M.; Adamowicz, L.; Volobuyev, M.; Mennucci, B. 2010: Modeling hole transport in wet and dry DNA. Journal of Physical Chemistry. B 114(13): 4416-4423

Apidianakis, Y.; Ferrandon, D. 2014: Modeling hologenome imbalances in inflammation and cancer. Frontiers in Cellular and Infection Microbiology 4: 134

Popp, D.; Laursen, B.; Kerr, M.; Stattin, H.åk.; Burk, W.K. 2008: Modeling homophily over time with an actor-partner interdependence model. Developmental Psychology 44(4): 1028-1039

Wu, C.-F.; Lin, H.-I.; Ho, C.-C.; Yang, T.-H.; Chen, C.-C.; Chan, C.-C. 2014: Modeling horizontal and vertical variation in intraurban exposure to PM2.5 concentrations and compositions. Environmental Research 133: 96-102

Anonymous 2013: Modeling hospice changes to prepare for Medicare reimbursement and care delivery reform. Caring: National Association for Home Care magazine 32(7): 26-27

Ikkersheim, D.; Tanke, M.; van Schooten, G.; de Bresser, N.; Fleuren, H. 2013: Modeling hospital infrastructure by optimizing quality, accessibility and efficiency via a mixed integer programming model. Bmc Health Services Research 13: 220

Tang, X.; Luo, Z.; Gardiner, J.C. 2012: Modeling hospital length of stay by Coxian phase-type regression with heterogeneity. Statistics in Medicine 31(14): 1502-1516

Sobieraj, J.A.; Reyes, J.; Dunemn, K.N.; Carty, I.H.; Pennathur, A.; Gutierrez, R.S.; Harris, M.D. 2007: Modeling hospital response to mild and severe influenza pandemic scenarios under normal and expanded capacities. Military Medicine 172(5): 486-490

Kumar, S. 2011: Modeling hospital surgical delivery process design using system simulation: optimizing patient flow and bed capacity as an illustration. Technology and Health Care: Official Journal of the European Society for Engineering and Medicine 19(1): 1-20

Aydin, C.; Donaldson, N.; Stotts, N.A.; Fridman, M.; Brown, D.Storer. 2015: Modeling hospital-acquired pressure ulcer prevalence on medical-surgical units: nurse workload, expertise, and clinical processes of care. Health Services Research 50(2): 351-373

Ferris, M.T.; Aylor, D.L.; Bottomly, D.; Whitmore, A.C.; Aicher, L.D.; Bell, T.A.; Bradel-Tretheway, B.; Bryan, J.T.; Buus, R.J.; Gralinski, L.E.; Haagmans, B.L.; McMillan, L.; Miller, D.R.; Rosenzweig, E.; Valdar, W.; Wang, J.; Churchill, G.A.; Threadgill, D.W.; McWeeney, S.K.; Katze, M.G.; Pardo-Manuel de Villena, F.; Baric, R.S.; Heise, M.T. 2013: Modeling host genetic regulation of influenza pathogenesis in the collaborative cross. Plos Pathogens 9(2): E1003196

Shlomai, A.; Schwartz, R.E.; Ramanan, V.; Bhatta, A.; de Jong, Y.P.; Bhatia, S.N.; Rice, C.M. 2014: Modeling host interactions with hepatitis B virus using primary and induced pluripotent stem cell-derived hepatocellular systems. Proceedings of the National Academy of Sciences of the United States of America 111(33): 12193-12198

Rowe, T.; León, A.J.; Crevar, C.J.; Carter, D.M.; Xu, L.; Ran, L.; Fang, Y.; Cameron, C.M.; Cameron, M.J.; Banner, D.; Ng, D.C.K.; Ran, R.; Weirback, H.K.; Wiley, C.A.; Kelvin, D.J.; Ross, T.M. 2010: Modeling host responses in ferrets during A/California/07/2009 influenza infection. Virology 401(2): 257-265

Rand, K.L.; Otte, J.L.; Flockhart, D.; Hayes, D.; Storniolo, A.M.; Stearns, V.; Henry, N.L.; Nguyen, A.; Lemler, S.; Hayden, J.; Jeter, S.; Carpenter, J.S. 2011: Modeling hot flushes and quality of life in breast cancer survivors. Climacteric: the Journal of the International Menopause Society 14(1): 171-180

Heddam, S. 2014: Modeling hourly dissolved oxygen concentration (DO) using two different adaptive neuro-fuzzy inference systems (ANFIS): a comparative study. Environmental Monitoring and Assessment 186(1): 597-619

Temime, L. 2010: Modeling how health care workers propagate hospital pathogens: identification of "super-spreaders". Medecine Sciences: M/S 26(2): 205-207

Merkey, B.V.; Rittmann, B.E.; Chopp, D.L. 2009: Modeling how soluble microbial products (SMP) support heterotrophic bacteria in autotroph-based biofilms. Journal of Theoretical Biology 259(4): 670-683

Ritter, F.E.; Bibby, P.A. 2008: Modeling how, when, and what is learned in a simple fault-finding task. Cognitive Science 32(5): 862-892

Chiyaka, C.; Singer, B.H.; Halbert, S.E.; Morris, J.G.; van Bruggen, A.H.C. 2012: Modeling huanglongbing transmission within a citrus tree. Proceedings of the National Academy of Sciences of the United States of America 109(30): 12213-12218

Waters, A.; Blanchette, Fçois.; Kim, A.D. 2012: Modeling huddling penguins. Plos one 7(11): E50277

Blanchard, P.; Hongler, M.-O. 2007: Modeling human activity in the spirit of Barabasi's queueing systems. Physical Review. e Statistical Nonlinear and Soft Matter Physics 75(2 Part 2): 026102

Muzio, L.; Consalez, G.G. 2013: Modeling human brain development with cerebral organoids. Stem Cell Research and Therapy 4(6): 154

Gutmann, D.H. 2009: Modeling human brain tumors in mice. Brain Pathology 19(1): 108-111

Talbert, E.E.; Metzger, G.A.; He, W.A.; Guttridge, D.C. 2014: Modeling human cancer cachexia in colon 26 tumor-bearing adult mice. Journal of Cachexia Sarcopenia and Muscle 5(4): 321-328

Braun, R.D.; Vistisen, K.S. 2012: Modeling human choroidal melanoma xenograft growth in immunocompromised rodents to assess treatment efficacy. Investigative Ophthalmology and Visual Science 53(6): 2693-2701

Mariani, J.; Simonini, M.V.; Palejev, D.; Tomasini, L.; Coppola, G.; Szekely, A.M.; Horvath, T.L.; Vaccarino, F.M. 2012: Modeling human cortical development in vitro using induced pluripotent stem cells. Proceedings of the National Academy of Sciences of the United States of America 109(31): 12770-12775

Scheer, N.; Kapelyukh, Y.; McEwan, J.; Beuger, V.; Stanley, L.A.; Rode, A.; Wolf, C.R. 2012: Modeling human cytochrome P450 2D6 metabolism and drug-drug interaction by a novel panel of knockout and humanized mouse lines. Molecular Pharmacology 81(1): 63-72

Ader, M.; Tanaka, E.M. 2014: Modeling human development in 3D culture. Current Opinion in Cell Biology 31: 23-28

Gitler, A.D.; Lehmann, R. 2012: Modeling human disease. Science 337(6092): 269

Marian, A.J. 2011: Modeling human disease phenotype in model organisms: "It's only a model!". Circulation Research 109(4): 356-359

Markaki, M.; Tavernarakis, N. 2010: Modeling human diseases in Caenorhabditis elegans. Biotechnology Journal 5(12): 1261-1276

Starnini, M.; Baronchelli, A.; Pastor-Satorras, R. 2013: Modeling human dynamics of face-to-face interaction networks. Physical Review Letters 110(16): 168701

Garrido-Gomez, T.; Dominguez, F.; Lopez, J.A.; Camafeita, E.; Quiñonero, A.; Martinez-Conejero, J.A.; Pellicer, A.; Conesa, A.; Simón, C. 2011: Modeling human endometrial decidualization from the interaction between proteome and secretome. Journal of Clinical Endocrinology and Metabolism 96(3): 706-716

Wen, V.W.; MacKenzie, K.L. 2013: Modeling human endothelial cell transformation in vascular neoplasias. Disease Models and Mechanisms 6(5): 1066-1079

Jones, J.M.; Meisler, M.H. 2014: Modeling human epilepsy by TALEN targeting of mouse sodium channel Scn8a. Genesis 52(2): 141-148

Kim, J.H.; Kwak, B.K.; Ha, M.; Cheong, H.-K.; Yi, J. 2012: Modeling human exposure levels to airborne volatile organic compounds by the hebei spirit oil spill. Environmental Health and Toxicology 27: E2012008

Hartman, K.G.; Bortner, J.D.; Falk, G.W.; Ginsberg, G.G.; Jhala, N.; Yu, J.; Martín, M.ín.G.; Rustgi, A.K.; Lynch, J.P. 2014: Modeling human gastrointestinal inflammatory diseases using microphysiological culture systems. Experimental Biology and Medicine 239(9): 1108-1123

Liao, V.H.-C.; Chio, C.-P.; Chou, W.-C.; Ju, Y.-R.; Liao, C.-M. 2010: Modeling human health risks of airborne endotoxin in homes during the winter and summer seasons. Science of the Total Environment 408(7): 1530-1537

Chen, W.; O'Sullivan, M.G.; Hudson, W.; Kersey, J. 2011: Modeling human infant MLL leukemia in mice: leukemia from fetal liver differs from that originating in postnatal marrow. Blood 117(12): 3474-3475

Sun, P.; Zhou, X.; Farnworth, S.L.; Patel, A.H.; Hay, D.C. 2013: Modeling human liver biology using stem cell-derived hepatocytes. International Journal of Molecular Sciences 14(11): 22011-22021

Simão, D.; Pinto, C.; Piersanti, S.; Weston, A.; Peddie, C.J.; Bastos, A.é E.P.; Licursi, V.; Schwarz, S.C.; Collinson, L.M.; Salinas, S.; Serra, M.; Teixeira, A.P.; Saggio, I.; Lima, P.A.; Kremer, E.J.; Schiavo, G.; Brito, C.; Alves, P.M. 2015: Modeling human neural functionality in vitro: three-dimensional culture for dopaminergic differentiation. Tissue Engineering. Part a 21(3-4): 654-668

Pratt, K.G.; Khakhalin, A.S. 2013: Modeling human neurodevelopmental disorders in the Xenopus tadpole: from mechanisms to therapeutic targets. Disease Models and Mechanisms 6(5): 1057-1065

Imaizumi, Y.; Okano, H. 2014: Modeling human neurological disorders with induced pluripotent stem cells. Journal of Neurochemistry 129(3): 388-399

Canet, M.J.; Hardwick, R.N.; Lake, A.D.; Dzierlenga, A.L.; Clarke, J.D.; Cherrington, N.J. 2014: Modeling human nonalcoholic steatohepatitis-associated changes in drug transporter expression using experimental rodent models. Drug Metabolism and Disposition: the Biological Fate of Chemicals 42(4): 586-595

Ziemba, C.; Yang, W.; Peccia, J. 2013: Modeling human off-site aerosol exposures to polybrominated flame retardants emitted during the land application of sewage sludge. Environment International 60: 232-241

Janeway, K.A.; Walkley, C.R. 2010: Modeling human osteosarcoma in the mouse: from bedside to bench. Bone 47(5): 859-865

Goldhaber-Fiebert, J.D.; Stout, N.K.; Ortendahl, J.; Kuntz, K.M.; Goldie, S.J.; Salomon, J.A. 2007: Modeling human papillomavirus and cervical cancer in the United States for analyses of screening and vaccination. Population Health Metrics 5: 11

Frank, M.C.; Goldwater, S.; Griffiths, T.L.; Tenenbaum, J.B. 2010: Modeling human performance in statistical word segmentation. Cognition 117(2): 107-125

Wang, F. 2011: Modeling human prostate cancer in genetically engineered mice. Progress in Molecular Biology and Translational Science 100: 1-49

Limphong, P.; Zhang, H.; Christians, E.; Liu, Q.; Riedel, M.; Ivey, K.; Cheng, P.; Mitzelfelt, K.; Taylor, G.; Winge, D.; Srivastava, D.; Benjamin, I. 2013: Modeling human protein aggregation cardiomyopathy using murine induced pluripotent stem cells. Stem Cells Translational Medicine 2(3): 161-166

Meraz, E.; Nazeran, H.; Diong, B.; Menendez, R.; Ortiz, G.; Goldman, M. 2007: Modeling human respiratory impedance in Hispanic asthmatic children. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2007: 4251-4254

Phillips, M.J.; Perez, E.T.; Martin, J.M.; Reshel, S.T.; Wallace, K.A.; Capowski, E.E.; Singh, R.; Wright, L.S.; Clark, E.M.; Barney, P.M.; Stewart, R.; Dickerson, S.J.; Miller, M.J.; Percin, E.F.; Thomson, J.A.; Gamm, D.M. 2014: Modeling human retinal development with patient-specific induced pluripotent stem cells reveals multiple roles for visual system homeobox 2. Stem Cells 32(6): 1480-1492

Yeates, F.; Jones, F.W.; Wills, A.J.; McLaren, R.P.; McLaren, I.P.L. 2013: Modeling human sequence learning under incidental conditions. Journal of Experimental Psychology. Animal Behavior Processes 39(2): 166-173

Yu, Z.; Bonini, N.M. 2011: Modeling human trinucleotide repeat diseases in Drosophila. International Review of Neurobiology 99: 191-212

Verhaert, V.; Druyts, H.; Van Deun, D.; De Wilde, T.; Van Brussel, K.; Haex, B.; Sloten, J.V. 2012: Modeling human-bed interaction: the predictive value of anthropometric models in choosing the correct bed support. Work 41(Suppl 1): 2268-2273

Chen, Y.-S. 2013: Modeling hybrid rough set-based classification procedures to identify hemodialysis adequacy for end-stage renal disease patients. Computers in Biology and Medicine 43(10): 1590-1605

Narula, K.K.; Gosain, A.K. 2013: Modeling hydrology, groundwater recharge and non-point nitrate loadings in the Himalayan Upper Yamuna basin. Science of the Total Environment: 468-469 Suppl: S102-S116

Drewnowski, J.; Makinia, J. 2013: Modeling hydrolysis of slowly biodegradable organic compounds in biological nutrient removal activated sludge systems. Water Science and Technology: a Journal of the International Association on Water Pollution Research 67(9): 2067-2074

Santoro, D.; Raisee, M.; Moghaddami, M.; Ducoste, J.; Sasges, M.; Liberti, L.; Notarnicola, M. 2010: Modeling hydroxyl radical distribution and trialkyl phosphates oxidation in UV-H2O2 photoreactors using computational fluid dynamics. Environmental Science and Technology 44(16): 6233-6241

Lindén, J.; Karen, P. 2012: Modeling hyperfine parameters observed from the charge-ordered to valence-mixed state of NdBaFe2O5. Journal of Physics. Condensed Matter: An Institute of Physics Journal 24(37): 376002

Webb, G.J.; Adams, D.H. 2015: Modeling idiosyncrasy: a novel animal model of drug-induced liver injury. Hepatology 61(4): 1124-1126

Johnson, J.F. 1993: Modeling imager deterministic and statistical modulation transfer functions. Applied Optics 32(32): 6503-6513

Li, J.; Crawford-Brown, D.; Syddall, M.; Guan, D. 2013: Modeling imbalanced economic recovery following a natural disaster using input-output analysis. Risk Analysis: An Official Publication of the Society for Risk Analysis 33(10): 1908-1923

Acerbi, A.; Tennie, C.; Nunn, C.L. 2011: Modeling imitation and emulation in constrained search spaces. Learning and Behavior 39(2): 104-114

Arazi, A.; Neumann, A.U. 2010: Modeling immune complex-mediated autoimmune inflammation. Journal of Theoretical Biology 267(3): 426-436

Dirnagl, U. 2014: Modeling immunity and inflammation in stroke: can mice be trusted?. Stroke 45(9): E177-E178

Sharp, F.R.; Jickling, G.C. 2014: Modeling immunity and inflammation in stroke: differences between rodents and humans?. Stroke 45(9): E179-E180

Offner, H. 2014: Modeling immunity and inflammation in stroke: don't be afraid of mice?. Stroke 45(9): E181-E182

Wang, J.; Zhang, X.; Liu, Y.; Pan, X.; Liu, P.; Chen, Z.; Huang, T.; Xiong, Z. 2012: Modeling impacts of alternative practices on net global warming potential and greenhouse gas intensity from rice-wheat annual rotation in China. Plos one 7(9): E45668

Goenaga, M.A.; Juan, E.J. 2006: Modeling impermeable membranes as acoustic filters for biomedical applications. Conference Proceedings: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2006: 6406-6409

Cunningham, C.E.; Bruce, B.S.; Snowdon, A.W.; Chen, Y.; Kolga, C.; Piotrowski, C.; Warda, L.; Correale, H.; Clark, E.; Barwick, M. 2011: Modeling improvements in booster seat use: a discrete choice conjoint experiment. Accident; Analysis and Prevention 43(6): 1999-2009

Di Napoli, S.; Thiess, A.; Blügel, S.; Mokrousov, Y. 2012: Modeling impurity-assisted chain creation in noble-metal break junctions. Journal of Physics. Condensed Matter: An Institute of Physics Journal 24(13): 135501

Garattini, L.; Koleva, D.; Casadei, G. 2010: Modeling in pharmacoeconomic studies: funding sources and outcomes. International Journal of Technology Assessment in Health Care 26(3): 330-333

Neubauer, A.S.; Hirneiss, C.; Kampik, A. 2010: Modeling in value-based medicine. Der Ophthalmologe: Zeitschrift der Deutschen Ophthalmologischen Gesellschaft 107(3): 228-234

Zheng, F.; Zhan, M.; Huang, X.; Abdul Hameed, M.D.M.; Zhan, C.-G. 2014: Modeling in vitro inhibition of butyrylcholinesterase using molecular docking, multi-linear regression and artificial neural network approaches. Bioorganic and Medicinal Chemistry 22(1): 538-549

Montoya, R.; Iglesias, C.; Escudero, M.L.; García-Alonso, M.C. 2014: Modeling in vivo corrosion of AZ31 as temporary biodegradable implants. Experimental validation in rats. Materials Science and Engineering. C Materials for Biological Applications 41: 127-133

Moreno, R.P.; Metnitz, P.G.H.; Metnitz, B.; Bauer, P.; Afonso de Carvalho, S.; Hoechtl, A. 2008: Modeling in-hospital patient survival during the first 28 days after intensive care unit admission: a prognostic model for clinical trials in general critically ill patients. Journal of Critical Care 23(3): 339-348

Unluturk, S.; Atilgan, M.R.; Baysal, A.H.; Unluturk, M.S. 2010: Modeling inactivation kinetics of liquid egg white exposed to UV-C irradiation. International Journal of Food Microbiology 142(3): 341-347

Siltanen, S.; Lokki, T.; Tervo, S.; Savioja, L. 2012: Modeling incoherent reflections from rough room surfaces with image sources. Journal of the Acoustical Society of America 131(6): 4606-4614

Daily, L.Z.; Lovett, M.C.; Reder, L.M. 2001: Modeling individual differences in working memory performance: a source activation account. Cognitive Science 25(3): 315-353

Abrams, S.; Hens, N. 2015: Modeling individual heterogeneity in the acquisition of recurrent infections: an application to parvovirus B19. Biostatistics 16(1): 129-142

Zhou, S-Han.; Oetomo, D.; Tan, Y.; Burdet, E.; Mareels, I. 2012: Modeling individual human motor behavior through model reference iterative learning control. IEEE Transactions on Bio-Medical Engineering 59(7): 1892-1901

Aschenbrenner, C.A.; Houle, T.T.; Gutierrez, S.; Eisenach, J.C. 2014: Modeling individual recovery after peripheral nerve injury in rats and the effects of parturition. Anesthesiology 121(5): 1056-1067

Schofield, M.R.; Barker, R.J.; Taylor, P. 2013: Modeling individual specific fish length from capture-recapture data using the von Bertalanffy growth curve. Biometrics 69(4): 1012-1021

McFarland, D.J. 2013: Modeling individual subtests of the WAIS IV with multiple latent factors. Plos one 8(9): E74980

Xie, Y.; Zhou, X. 2012: Modeling individual-level heterogeneity in racial residential segregation. Proceedings of the National Academy of Sciences of the United States of America 109(29): 11646-11651

Sigal, I.A.; Flanagan, J.G.; Tertinegg, I.; Ethier, C.R. 2009: Modeling individual-specific human optic nerve head biomechanics. Part I: IOP-induced deformations and influence of geometry. Biomechanics and Modeling in Mechanobiology 8(2): 85-98

Sigal, I.A.; Flanagan, J.G.; Tertinegg, I.; Ethier, C.R. 2009: Modeling individual-specific human optic nerve head biomechanics. Part II: influence of material properties. Biomechanics and Modeling in Mechanobiology 8(2): 99-109

Luo, Y.; Fan, Y.; Chen, X.; Yue, L.; Yu, B.; Li, Q.; Chen, Y.; Sun, X. 2014: Modeling induced pluripotent stem cells from fibroblasts of Duchenne muscular dystrophy patients. International Journal of Neuroscience 124(1): 12-21

Abdul Latif, N.S.; Wake, G.C.; Reglinski, T.; Elmer, P.A.G.; Taylor, J.T. 2013: Modeling induced resistance to plant disease using a dynamical systems approach. Frontiers in Plant Science 4: 19

Reuter, J.A.; Ortiz-Urda, S.; Kretz, M.; Garcia, J.; Scholl, F.A.; Pasmooij, A.M.G.; Cassarino, D.; Chang, H.Y.; Khavari, P.A. 2009: Modeling inducible human tissue neoplasia identifies an extracellular matrix interaction network involved in cancer progression. Cancer Cell 15(6): 477-488

Westoby, M.; Rogers, J.K.; Haverstock, R.; Romero, J.; Pieracci, J. 2011: Modeling industrial centrifugation of mammalian cell culture using a capillary based scale-down system. Biotechnology and Bioengineering 108(5): 989-998

Furuya, H.; Takanashi, H.; Fuji, S-Ichi.; Nagai, Y.; Naito, H. 2009: Modeling infection of spring onion by Puccinia allii in response to temperature and leaf wetness. Phytopathology 99(8): 951-956

Coers, J.ör.; Starnbach, M.N.; Howard, J.C. 2009: Modeling infectious disease in mice: co-adaptation and the role of host-specific IFNgamma responses. Plos Pathogens 5(5): E1000333

Hartman, K.G.; Bortner, J.D.; Falk, G.W.; Yu, J.; Martín, M.ín.G.; Rustgi, A.K.; Lynch, J.P. 2013: Modeling inflammation and oxidative stress in gastrointestinal disease development using novel organotypic culture systems. Stem Cell Research and Therapy 4(Suppl 1): S5

Schultz, A.S.H.; Hossain, S.; Johnson, J.L. 2009: Modeling influences on acute care nurses' engagement in tobacco use reduction. Research in Nursing and Health 32(6): 621-633

Coburn, B.J.; Wagner, B.G.; Blower, S. 2009: Modeling influenza epidemics and pandemics: insights into the future of swine flu (H1N1). Bmc Medicine 7: 30

Andersson, E.; Bock, D.; Frisén, M. 2008: Modeling influenza incidence for the purpose of on-line monitoring. Statistical Methods in Medical Research 17(4): 421-438

Kim, Y.-A.; Przytycki, J.H.; Wuchty, S.; Przytycka, T.M. 2011: Modeling information flow in biological networks. Physical Biology 8(3): 035012

Egan, J.R.; Hall, I.M.; Leach, S. 2011: Modeling inhalational tularemia: deliberate release and public health response. Biosecurity and Bioterrorism: Biodefense Strategy Practice and Science 9(4): 331-343

Jaramillo, J.; Schmidt, R.; Kempter, R. 2014: Modeling inheritance of phase precession in the hippocampal formation. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 34(22): 7715-7731

Sallam, K.; Kodo, K.; Wu, J.C. 2014: Modeling inherited cardiac disorders. Circulation Journal: Official Journal of the Japanese Circulation Society 78(4): 784-794

Rashid, S.T.; Corbineau, S.; Hannan, N.; Marciniak, S.J.; Miranda, E.; Alexander, G.; Huang-Doran, I.; Griffin, J.; Ahrlund-Richter, L.; Skepper, J.; Semple, R.; Weber, A.; Lomas, D.A.; Vallier, L. 2010: Modeling inherited metabolic disorders of the liver using human induced pluripotent stem cells. Journal of Clinical Investigation 120(9): 3127-3136

Satel, J.; Wang, Z.; Trappenberg, T.P.; Klein, R.M. 2011: Modeling inhibition of return as short-term depression of early sensory input to the superior colliculus. Vision Research 51(9): 987-996

Gauthier, M.G.; Norio, P.; Bechhoefer, J. 2012: Modeling inhomogeneous DNA replication kinetics. Plos one 7(3): E32053

Roy, E.; Godin, G.; Boudreau, J-François.; Côté, P-Benoit.; Denis, Véronique.; Haley, N.; Leclerc, P.; Boivin, J-François. 2011: Modeling initiation into drug injection among street youth. Journal of Drug Education 41(2): 119-134

Von Levetzow, C.; Jiang, X.; Gwye, Y.; von Levetzow, G.; Hung, L.; Cooper, A.; Hsu, J.H.-R.; Lawlor, E.R. 2011: Modeling initiation of Ewing sarcoma in human neural crest cells. Plos one 6(4): E19305

Rubio-Romero, J.C.; Suárez-Cebador, M.; Abad, J.ús. 2014: Modeling injury rates as a function of industrialized versus on-site construction techniques. Accident; Analysis and Prevention 66: 8-14

Carvalho, R.V.; Kleijn, J.; Meijer, A.H.; Verbeek, F.J. 2012: Modeling innate immune response to early Mycobacterium infection. Computational and Mathematical Methods in Medicine 2012: 790482

Dimarzio, M.; Farina, G.; Lafyatis, R. 2012: Modeling innate immunity in murine skin: utilization of subcutaneous osmotic pumps for inflammatory and fibrotic skin disease. Methods in Molecular Biology 900: 317-326

Li, Y.; Handel, A. 2014: Modeling inoculum dose dependent patterns of acute virus infections. Journal of Theoretical Biology 347: 63-73

Nord, A.S.; Vranizan, K.; Tingley, W.; Zambon, A.C.; Hanspers, K.; Fong, L.G.; Hu, Y.; Bacchetti, P.; Ferrin, T.E.; Babbitt, P.C.; Doniger, S.W.; Skarnes, W.C.; Young, S.G.; Conklin, B.R. 2007: Modeling insertional mutagenesis using gene length and expression in murine embryonic stem cells. Plos one 2(7): E617

Jackson, M.L.; Rose, C.E.; Cohn, A.; Coronado, F.; Clark, T.A.; Wenger, J.D.; Bulkow, L.; Bruce, M.G.; Messonnier, N.E.; Hennessy, T.W. 2012: Modeling insights into Haemophilus influenzae type b disease, transmission, and vaccine programs. Emerging Infectious Diseases 18(1): 13-20

Kesete, Y.; Peng, J.; Gao, Y.; Shan, X.; Davidson, R.A.; Nozick, L.K.; Kruse, J. 2014: Modeling insurer-homeowner interactions in managing natural disaster risk. Risk Analysis: An Official Publication of the Society for Risk Analysis 34(6): 1040-1055

Berestovsky, N.; Zhou, W.; Nagrath, D.; Nakhleh, L. 2013: Modeling integrated cellular machinery using hybrid Petri-Boolean networks. Plos Computational Biology 9(11): E1003306

Boltz, J.P.; Johnson, B.R.; Daigger, G.T.; Sandino, J. 2009: Modeling integrated fixed-film activated sludge and moving-bed biofilm reactor systems I: mathematical treatment and model development. Water Environment Research: a Research Publication of the Water Environment Federation 81(6): 555-575

Boltz, J.P.; Johnson, B.R.; Daigger, G.T.; Sandino, J.; Elenter, D. 2009: Modeling integrated fixed-film activated sludge and moving-bed biofilm reactor systems II: evaluation. Water Environment Research: a Research Publication of the Water Environment Federation 81(6): 576-586

Poustie, M.S.; Deletic, A. 2014: Modeling integrated urban water systems in developing countries: case study of Port Vila, Vanuatu. Ambio 43(8): 1093-1111

Guikema, S. 2012: Modeling intelligent adversaries for terrorism risk assessment: some necessary conditions for adversary models. Risk Analysis: An Official Publication of the Society for Risk Analysis 32(7): 1117-1121

Xu, Y.; Testerman, L.S.; Owen, J.E.; Bantum, E.O.; Thornton, A.A.; Stanton, A.L. 2014: Modeling intention to participate in face-to-face and online lung cancer support groups. Psycho-Oncology 23(5): 555-561

Mörtl, A.; Lorenz, T.; Vlaskamp, B.ör.N.S.; Gusrialdi, A.; Schubö, A.; Hirche, S. 2012: Modeling inter-human movement coordination: synchronization governs joint task dynamics. Biological Cybernetics 106(4-5): 241-259

Yan, P.; Kassim, A.A.; Shen, W.; Shah, M. 2009: Modeling interaction for segmentation of neighboring structures. IEEE Transactions on Information Technology in Biomedicine: a Publication of the IEEE Engineering in Medicine and Biology Society 13(2): 252-262

Tavano, F.; Fontana, A.; Pellegrini, F.; Burbaci, F.P.; Rappa, F.; Cappello, F.; Copetti, M.; Maiello, E.; Lombardi, L.; Graziano, P.; Vinciguerra, M.; di Mola, F.F.; di Sebastiano, P.; Andriulli, A.; Pazienza, V. 2014: Modeling interactions between Human Equilibrative Nucleoside Transporter-1 and other factors involved in the response to gemcitabine treatment to predict clinical outcomes in pancreatic ductal adenocarcinoma patients. Journal of Translational Medicine 12: 248

Lubliner, S.; Segal, E. 2009: Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy. Bioinformatics 25(12): I348-I355

Vogt, P. 2009: Modeling interactions between language evolution and demography. Human Biology 81(2-3): 237-258

Jones, D.; Yao, H.; Romans, A.; Dando, C.; Pierce, S.; Borthakur, G.; Hamilton, A.; Bueso-Ramos, C.; Ravandi, F.; Garcia-Manero, G.; Kantarjian, H. 2010: Modeling interactions between leukemia-specific chromosomal changes, somatic mutations, and gene expression patterns during progression of core-binding factor leukemias. Genes Chromosomes and Cancer 49(2): 182-191

Janesko, B.G. 2011: Modeling interactions between lignocellulose and ionic liquids using DFT-D. Physical Chemistry Chemical Physics: Pccp 13(23): 11393-11401

Engbers, J.D.; Zamponi, G.W.; Turner, R.W. 2013: Modeling interactions between voltage-gated Ca (2+) channels and KCa1.1 channels. Channels 7(6): 524-529

Alfonso, Gélum.; Mosso, Jé.L.; Jorge, Márquez. 2006: Modeling interactions with a computer representation of the upper gastrointestinal system. Conference Proceedings: .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2006: 4412-4415

Ferreira, T.; Marchini, J. 2011: Modeling interactions with known risk loci-a Bayesian model averaging approach. Annals of Human Genetics 75(1): 1-9

Suhail, Y.; Kshitiz; Lee, J.; Walker, M.; Kim, D.-H.; Brennan, M.D.; Bader, J.S.; Levchenko, A. 2013: Modeling intercellular transfer of biomolecules through tunneling nanotubes. Bulletin of Mathematical Biology 75(8): 1400-1416

Hills, H.; Richards, T. 2014: Modeling interdisciplinary research to advance behavioral health care. Journal of Behavioral Health Services and Research 41(1): 3-7

Tang, D.; Hefner, B.T. 2012: Modeling interface roughness scattering in a layered seabed for normal-incident chirp sonar signals. Journal of the Acoustical Society of America 131(4): El302-El308

Gleit, R.D.; Diniz Behn, C.G.; Booth, V. 2013: Modeling interindividual differences in spontaneous internal desynchrony patterns. Journal of Biological Rhythms 28(5): 339-355

Nerurkar, N.L.; Mauck, R.L.; Elliott, D.M. 2011: Modeling interlamellar interactions in angle-ply biologic laminates for annulus fibrosus tissue engineering. Biomechanics and Modeling in Mechanobiology 10(6): 973-984

Kröger, I.; Stadtmüller, B.; Wagner, C.; Weiss, C.; Temirov, R.; Tautz, F.S.; Kumpf, C. 2011: Modeling intermolecular interactions of physisorbed organic molecules using pair potential calculations. Journal of Chemical Physics 135(23): 234703

Belaidi, A.; Pierscionek, B.K. 2007: Modeling internal stress distributions in the human lens: can opponent theories coexist?. Journal of Vision 7(11): 1.1-112

Schmidt, M.J.; Mirnics, K. 2012: Modeling interneuron dysfunction in schizophrenia. Developmental Neuroscience 34(2-3): 152-158

Hofmann, W.; Winkler-Heil, R.; Hussain, M. 2010: Modeling intersubject variability of bronchial doses for inhaled radon progeny. Health Physics 99(4): 523-531

Vermund, S.H. 2011: Modeling interventions to assess HIV epidemic impact in Africa. Journal of Acquired Immune Deficiency Syndromes 58(2): 121-124

Nair, A.G.; Gutierrez-Arenas, O.; Eriksson, O.; Jauhiainen, A.; Blackwell, K.T.; Kotaleski, J.H. 2014: Modeling intracellular signaling underlying striatal function in health and disease. Progress in Molecular Biology and Translational Science 123: 277-304

Greenberg, C.H.; Frosch, M.P.; Goldstein, J.N.; Rosand, J.; Greenberg, S.M. 2012: Modeling intracerebral hemorrhage growth and response to anticoagulation. Plos one 7(10): E48458

Krafft, P.R.; Rolland, W.B.; Duris, K.; Lekic, T.; Campbell, A.; Tang, J.; Zhang, J.H. 2012: Modeling intracerebral hemorrhage in mice: injection of autologous blood or bacterial collagenase. Journal of Visualized Experiments: Jove 67: E4289

Winkfield, K.M.; Niemierko, A.; Bussiere, M.R.; Crowley, E.M.; Napolitano, B.N.; Beaudette, K.P.; Loeffler, J.S.; Shih, H.A. 2011: Modeling intracranial second tumor risk and estimates of clinical toxicity with various radiation therapy techniques for patients with pituitary adenoma. Technology in Cancer Research and Treatment 10(3): 243-251

Tuchschmid, S.; Bajka, M.; Szczerba, D.; Lloyd, B.A.; Székely, G.; Harders, M. 2008: Modeling intravasation of liquid distension media in surgical simulators. Medical Image Analysis 12(5): 567-576

Li, Y.; Sanna, S.; Schmidt, W.G. 2014: Modeling intrinsic defects in LiNbO3 within the Slater-Janak transition state model. Journal of Chemical Physics 140(23): 234113

Apollo, N.; Grayden, D.B.; Burkitt, A.N.; Meffin, H.; Kameneva, T. 2013: Modeling intrinsic electrophysiology of AIi amacrine cells: preliminary results. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2013: 6551-6554

Fisher, C.K.; Huang, A.; Stultz, C.M. 2010: Modeling intrinsically disordered proteins with bayesian statistics. Journal of the American Chemical Society 132(42): 14919-14927

Peters, J.C.; Reithler, J.; Goebel, R. 2012: Modeling invariant object processing based on tight integration of simulated and empirical data in a Common Brain Space. Frontiers in Computational Neuroscience 6: 12

Osei, B.M.; Ellingwood, C.D.; Hoffmann, J.P.; Bentil, D.E. 2011: Modeling invasive species spread in Lake Champlain via evolutionary computations. Theory in Biosciences 130(2): 145-152

Demneh, S.M.G.; Nasernejad, B.; Modarres, H. 2011: Modeling investigation of membrane biofouling phenomena by considering the adsorption of protein, polysaccharide and humic acid. Colloids and Surfaces. B Biointerfaces 88(1): 108-114

Orsetti, S.; Andrade, E.M.; Molina, F.V. 2010: Modeling ion binding to humic substances: elastic polyelectrolyte network model. Langmuir: the Acs Journal of Surfaces and Colloids 26(5): 3134-3144

Dangerfield, C.E.; Kay, D.; Burrage, K. 2012: Modeling ion channel dynamics through reflected stochastic differential equations. Physical Review. e Statistical Nonlinear and Soft Matter Physics 85(5 Part 1): 051907

Sigg, D. 2014: Modeling ion channels: past, present, and future. Journal of General Physiology 144(1): 7-26

Chen, C.J.; Smeu, M.; Ratner, M.A. 2014: Modeling ion sensing in molecular electronics. Journal of Chemical Physics 140(5): 054709

Robertson, J.W.F.; Friedrich, M.G.; Kibrom, A.; Knoll, W.; Naumann, R.L.C.; Walz, D. 2008: Modeling ion transport in tethered bilayer lipid membranes. 1. Passive ion permeation. Journal of Physical Chemistry. B 112(34): 10475-10482

Gómez-Casado, C.; Roth-Walter, F.; Jensen-Jarolim, E.; Díaz-Perales, A.; Pacios, L.F. 2013: Modeling iron-catecholates binding to NGAL protein. Journal of Molecular Graphics and Modelling 45: 111-121

Sewell, M.; Churilov, L.; Mooney, S.; Ma, T.; Maher, P.; Grover, S.R. 2018: Chronic pelvic pain - pain catastrophizing, pelvic pain and quality of life. Scandinavian Journal of Pain 18(3): 441-448

Stitt, J.P.; Newell, K.M. 2007: Modeling isometric force response using fuzzy set theory. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2007: 3245-3248

Dalmiya, V.; Ramirez, G.; Devarajan, V. 2007: Modeling isotropic organs using beam models for the haptic simulation of blunt dissections. Studies in Health Technology and Informatics 125: 100-105

Chahine, T.; Schultz, B.D.; Zartarian, V.G.; Xue, J.; Subramanian, S.V.; Levy, J.I. 2011: Modeling joint exposures and health outcomes for cumulative risk assessment: the case of radon and smoking. International Journal of Environmental Research and Public Health 8(9): 3688-3711

Binmore, K. 2013: Modeling justice as a natural phenomenon. Behavioral and Brain Sciences 36(1): 82-83

Panayotopoulos, A.; Vlamos, P. 2015: Modeling k-noncrossing closed RNA secondary structures via meandric compression. Advances in Experimental Medicine and Biology 820: 207-216

Schmidt, A.é; Diaconescu, A.O.; Kometer, M.; Friston, K.J.; Stephan, K.E.; Vollenweider, F.X. 2013: Modeling ketamine effects on synaptic plasticity during the mismatch negativity. Cerebral Cortex 23(10): 2394-2406

Cardenas, A.E.; Elber, R. 2014: Modeling kinetics and equilibrium of membranes with fields: milestoning analysis and implication to permeation. Journal of Chemical Physics 141(5): 054101

Xing, Z.; Bishop, N.; Leister, K.; Li, Z.Jian. 2010: Modeling kinetics of a large-scale fed-batch CHO cell culture by Markov chain Monte Carlo method. Biotechnology Progress 26(1): 208-219

Ni, Y.; He, L.; Liu, Q. 2011: Modeling kinetics of diffusion-controlled surface wrinkles. Physical Review. e Statistical Nonlinear and Soft Matter Physics 84(5 Part 1): 051604

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Kaufman, D.R.; Mehryar, M.; Chase, H.; Hung, P.; Chilov, M.; Johnson, S.B.; Mendonca, E. 2009: Modeling knowledge resource selection in expert librarian search. Studies in Health Technology and Informatics 143: 36-41

Kheirabadi, K.; Rashidi, A.; Alijani, S.; Imumorin, I. 2014: Modeling lactation curves and estimation of genetic parameters in Holstein cows using multiple-trait random regression models. Animal Science Journal 85(11): 925-934

O'Banion, K. 1980: Modeling land use conflicts and contraints for energy development. Environmental Science and Technology 14(12): 1438-1444

Fabiszewski, A.M.; Umbanhowar, J.; Mitchell, C.E. 2010: Modeling landscape-scale pathogen spillover between domesticated and wild hosts: Asian soybean rust and kudzu. Ecological Applications: a Publication of the Ecological Society of America 20(2): 582-592

Zorzi, M.; Testolin, A.; Stoianov, I.P. 2013: Modeling language and cognition with deep unsupervised learning: a tutorial overview. Frontiers in Psychology 4: 515

Wiechert, W.; Noack, S.; Elsheikh, A. 2010: Modeling languages for biochemical network simulation: reaction vs equation based approaches. Advances in Biochemical Engineering/Biotechnology 121: 109-138

Pourret, O.; Martinez, R.E. 2009: Modeling lanthanide series binding sites on humic acid. Journal of Colloid and Interface Science 330(1): 45-50

Adhikari, A.N.; Peng, J.; Wilde, M.; Xu, J.; Freed, K.F.; Sosnick, T.R. 2012: Modeling large regions in proteins: applications to loops, termini, and folding. Protein Science: a Publication of the Protein Society 21(1): 107-121

Sept, D.; Carlsson, A.E. 2014: Modeling large-scale dynamic processes in the cell: polarization, waves, and division. Quarterly Reviews of Biophysics 47(3): 221-248

McCann, R.S.; Messina, J.P.; MacFarlane, D.W.; Bayoh, M.N.; Vulule, J.M.; Gimnig, J.E.; Walker, E.D. 2014: Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures. International Journal of Health Geographics 13: 17

Snyder, J.J. 2007: Modeling laser beam diffraction and propagation by the mode-expansion method. Applied Optics 46(22): 5056-5061

Buettner, F.; Gulliford, S.L.; Webb, S.; Partridge, M. 2011: Modeling late rectal toxicities based on a parameterized representation of the 3D dose distribution. Physics in Medicine and Biology 56(7): 2103-2118

Bishop, J.; Geiser, C.; Cole, D.A. 2015: Modeling latent growth with multiple indicators: a comparison of three approaches. Psychological Methods 20(1): 43-62

Rong, L.; Perelson, A.S. 2009: Modeling latently infected cell activation: viral and latent reservoir persistence, and viral blips in HIV-infected patients on potent therapy. Plos Computational Biology 5(10): E1000533

Dawson, J.D.; Cavanaugh, J.E.; Zamba, K.D.; Rizzo, M. 2010: Modeling lateral control in driving studies. Accident; Analysis and Prevention 42(3): 891-897

Cope, D.; Blakeslee, B.; McCourt, M.E. 2013: Modeling lateral geniculate nucleus response with contrast gain control. Part 1: formulation. Journal of the Optical Society of America. a Optics Image Science and Vision 30(11): 2401-2408

Cope, D.; Blakeslee, B.; McCourt, M.E. 2014: Modeling lateral geniculate nucleus response with contrast gain control. Part 2: analysis. Journal of the Optical Society of America. a Optics Image Science and Vision 31(2): 348-362

Bayar, S.; Demir, I.; Engin, G.O. 2009: Modeling leaching behavior of solidified wastes using back-propagation neural networks. Ecotoxicology and Environmental Safety 72(3): 843-850

Labrosse, M.R.; Boodhwani, M.; Sohmer, B.; Beller, C.J. 2011: Modeling leaflet correction techniques in aortic valve repair: A finite element study. Journal of Biomechanics 44(12): 2292-2298

Casey, M.C.; Sowden, P.T. 2012: Modeling learned categorical perception in human vision. Neural Networks: the Official Journal of the International Neural Network Society 33: 114-126

Bank, A.; Wickstrom, K.; Handran, C.; Burkhoff, D.; Lesser, J.R.; Schwartz, R.S. 2013: Modeling left atrial volume, shape, and contraction patterns in normal subjects by cardiac magnetic resonance imaging. International Journal of Cardiology 168(4): 3348-3350

Verduijn, M.; Peek, N.; Voorbraak, V.; de Jonge, E.; de Mol, B.A.J.M. 2007: Modeling length of stay as an optimized two-class prediction problem. Methods of Information in Medicine 46(3): 352-359

Faddy, M.; Graves, N.; Pettitt, A. 2009: Modeling length of stay in hospital and other right skewed data: comparison of phase-type, gamma and log-normal distributions. Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research 12(2): 309-314

Briganti, G.; Falla, J-P.; Roumeguère, T. 2018: Chronic pelvic pain syndrome and Crohn's disease : a dangerous association. Revue Medicale de Bruxelles 39(3): 175-177

Sonnenberg, A. 2015: Modeling lengthy work-ups in gastrointestinal bleeding. Clinical Gastroenterology and Hepatology: the Official Clinical Practice Journal of the American Gastroenterological Association 13(3): 433-439

Morgan, C.J.; Aban, I.B.; Katholi, C.R.; Cutter, G.R. 2010: Modeling lesion counts in multiple sclerosis when patients have been selected for baseline activity. Multiple Sclerosis 16(8): 926-934

Gritti, N.; Caccia, M.; Sironi, L.; Collini, M.; D'Alfonso, L.; Granucci, F.; Zanoni, I.; Chirico, G. 2013: Modeling leukocyte-leukocyte non-contact interactions in a lymph node. Plos one 8(10): E76756

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Peter, C.; Müller, R.; Cieza, A.; Post, M.W.M.; van Leeuwen, C.M.C.; Werner, C.S.; Geyh, S. 2014: Modeling life satisfaction in spinal cord injury: the role of psychological resources. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment Care and Rehabilitation 23(10): 2693-2705

McArdle, J.J.; Grimm, K.J.; Hamagami, F.; Bowles, R.P.; Meredith, W. 2009: Modeling life-span growth curves of cognition using longitudinal data with multiple samples and changing scales of measurement. Psychological Methods 14(2): 126-149

Tsumoto, K.; Kurosawa, G.; Yoshinaga, T.; Aihara, K. 2011: Modeling light adaptation in circadian clock: prediction of the response that stabilizes entrainment. Plos one 6(6): E20880

Bae, E.; Bai, N.; Aroonnual, A.; Robinson, J.P.; Bhunia, A.K.; Hirleman, E.D. 2010: Modeling light propagation through bacterial colonies and its correlation with forward scattering patterns. Journal of Biomedical Optics 15(4): 045001

Ferry, V.E.; Polman, A.; Atwater, H.A. 2011: Modeling light trapping in nanostructured solar cells. Acs Nano 5(12): 10055-10064

Ghosh, P.K.; Smirnov, A.Y.; Nori, F. 2009: Modeling light-driven proton pumps in artificial photosynthetic reaction centers. Journal of Chemical Physics 131(3): 035102

Van Parijs, F.R.D.; Morreel, K.; Ralph, J.; Boerjan, W.; Merks, R.M.H. 2010: Modeling lignin polymerization. I. Simulation model of dehydrogenation polymers. Plant Physiology 153(3): 1332-1344

Haab, L.; Wallhäusser-Franke, E.; Trenado, C.; Strauss, D.J. 2009: Modeling limbic influences on habituation deficits in chronic tinnitus aurium. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2009: 4234-4237

Aristide, L.; Rosenberger, A.L.; Tejedor, M.F.; Perez, S.I. 2015: Modeling lineage and phenotypic diversification in the new World monkey (Platyrrhini, Primates) radiation. Molecular Phylogenetics and Evolution 82 Pt B: 375-385

Shakya, G.; Rivera, H.; Lee, D.J.; Jaremko, M.J.; La Clair, J.J.; Fox, D.T.; Haushalter, R.W.; Schaub, A.J.; Bruegger, J.; Barajas, J.F.; White, A.R.; Kaur, P.; Gwozdziowski, E.R.; Wong, F.; Tsai, S.-C.; Burkart, M.D. 2014: Modeling linear and cyclic PKS intermediates through atom replacement. Journal of the American Chemical Society 136(48): 16792-16799

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Meeuwse, P.; Tramper, J.; Rinzema, A. 2011: Modeling lipid accumulation in oleaginous fungi in chemostat cultures. II: Validation of the chemostat model using yeast culture data from literature. Bioprocess and Biosystems Engineering 34(8): 951-961

Prazeres, D.M.; Lemos, F.; Garcia, F.A.; Cabral, J.M. 1993: Modeling lipolysis in a reversed micellar system: part II-membrane reactor. Biotechnology and Bioengineering 42(6): 765-771

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Chen, H.; Amirfazli, A.; Tang, T. 2013: Modeling liquid bridge between surfaces with contact angle hysteresis. Langmuir: the Acs Journal of Surfaces and Colloids 29(10): 3310-3319

Wu, B.; Chen, Y. 2011: Modeling liquid distribution in soil after pocket injection. Journal of Environmental Quality 40(2): 302-311

Jaganathan, S.; Vahedi Tafreshi, H.; Pourdeyhimi, B. 2008: Modeling liquid porosimetry in modeled and imaged 3-D fibrous microstructures. Journal of Colloid and Interface Science 326(1): 166-175

Kraan, T.C.; van Bommel, T.; Hikmet, R.A.M. 2007: Modeling liquid-crystal gradient-index lenses. Journal of the Optical Society of America. A Optics Image Science and Vision 24(11): 3467-3477

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Li, Q.; Wei, D.; Wang, L.; Wang, L.; Jia, Z.; Le, X.; Gao, Y.; Huang, S.; Xie, K. 2010: Modeling liver metastasis using a tumor cell line derived from an enhanced green fluorescent protein transgenic mouse. Clinical and Experimental Metastasis 27(1): 11-18

Rodgers, A.D.; Zhu, H.; Fourches, D.; Rusyn, I.; Tropsha, A. 2010: Modeling liver-related adverse effects of drugs using knearest neighbor quantitative structure-activity relationship method. Chemical Research in Toxicology 23(4): 724-732

Cahalane, D.J.; Charvet, C.J.; Finlay, B.L. 2014: Modeling local and cross-species neuron number variations in the cerebral cortex as arising from a common mechanism. Proceedings of the National Academy of Sciences of the United States of America 111(49): 17642-17647

Williams, G.S.B.; Molinelli, E.J.; Smith, G.D. 2008: Modeling local and global intracellular calcium responses mediated by diffusely distributed inositol 1,4,5-trisphosphate receptors. Journal of Theoretical Biology 253(1): 170-188

Ohri, N.; Werner-Wasik, M.; Grills, I.S.; Belderbos, Jé.; Hope, A.; Yan, D.; Kestin, L.L.; Guckenberger, M.; Sonke, J-Jakob.; Bissonnette, J-Pierre.; Xiao, Y. 2012: Modeling local control after hypofractionated stereotactic body radiation therapy for stage I non-small cell lung cancer: a report from the elekta collaborative lung research group. International Journal of Radiation Oncology Biology Physics 84(3): E379-E384

Gnutek, P.; Yang, Z.Y.; Rudowicz, C. 2009: Modeling local structure using crystal field and spin Hamiltonian parameters: the tetragonal Fe(K)(3+)-O(I)(2-) defect center in KTaO(3) crystal. Journal of Physics. Condensed Matter: An Institute of Physics Journal 21(45): 455402

Nhan, T.; Burgess, A.; Lilge, L.; Hynynen, K. 2014: Modeling localized delivery of Doxorubicin to the brain following focused ultrasound enhanced blood-brain barrier permeability. Physics in Medicine and Biology 59(20): 5987-6004

Jedidi, A.; Markovits, A.; Minot, C.; Bouzriba, S.; Abderraba, M. 2010: Modeling localized photoinduced electrons in rutile-TiO2 using periodic DFT+U methodology. Langmuir: the Acs Journal of Surfaces and Colloids 26(21): 16232-16238

Saunders, F.; Trimmer, B.A.; Rife, J. 2011: Modeling locomotion of a soft-bodied arthropod using inverse dynamics. Bioinspiration and Biomimetics 6(1): 016001

McLane, S.C.; LeMay, V.M.; Aitken, S.N. 2011: Modeling lodgepole pine radial growth relative to climate and genetics using universal growth-trend response functions. Ecological Applications: a Publication of the Ecological Society of America 21(3): 776-788

Seabra, Jé.; Sanches, Jão. 2008: Modeling log-compressed ultrasound images for radio frequency signal recovery. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2008: 426-429

Miccichè, S. 2009: Modeling long-range memory with stationary Markovian processes. Physical Review. E Statistical Nonlinear and Soft Matter Physics 79(3 Part 1): 031116

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Fisher, B.S.; Estraño, C.E.; Cole, J.A. 2013: Modeling long-term host cell-Giardia lamblia interactions in an in vitro co-culture system. Plos one 8(12): E81104

Maroof, D.Aaron.; Gross, A.L.; Brandt, J. 2011: Modeling longitudinal change in motor and cognitive processing speed in presymptomatic Huntington's disease. Journal of Clinical and Experimental Neuropsychology 33(8): 901-909

Siller, M.; Sigman, M. 2008: Modeling longitudinal change in the language abilities of children with autism: parent behaviors and child characteristics as predictors of change. Developmental Psychology 44(6): 1691-1704

Mikulic, P.; Blazina, T.; Nevill, A.M.; Markovic, G. 2012: Modeling longitudinal changes in maximal-intensity exercise performance in young male rowing athletes. Pediatric Exercise Science 24(2): 187-198

Alosh, M. 2010: Modeling longitudinal count data with dropouts. Pharmaceutical Statistics 9(1): 35-45

Clermont, G. 2007: Modeling longitudinal data in acute illness. Critical Care 11(4): 152

McLain, A.C.; Albert, P.S. 2014: Modeling longitudinal data with a random change point and no time-zero: applications to inference and prediction of the labor curve. Biometrics 70(4): 1052-1060

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Ravani, P.; Barrett, B.; Parfrey, P. 2009: Modeling longitudinal data, II: standard regression models and extensions. Methods in Molecular Biology 473: 61-94

Reich, B.J.; Hodges, J.S. 2008: Modeling longitudinal spatial periodontal data: a spatially adaptive model with tools for specifying priors and checking fit. Biometrics 64(3): 790-799

Flick, J.; Tristram, F.; Wenzel, W. 2012: Modeling loop backbone flexibility in receptor-ligand docking simulations. Journal of Computational Chemistry 33(31): 2504-2515

Chirikjian, G.S. 2011: Modeling loop entropy. Methods in Enzymology 487: 99-132

Eric, M.; Fan, C.; Joksimovic, D.; Li, J.Y. 2013: Modeling low impact development potential with hydrological response units. Water Science and Technology: a Journal of the International Association on Water Pollution Research 68(11): 2382-2390

Clare, R.M.; van Dam, M.A.; Bouchez, A.H. 2007: Modeling low order aberrations in laser guide star adaptive optics systems. Optics Express 15(8): 4711-4725

Kay, K.N.; David, S.V.; Prenger, R.J.; Hansen, K.A.; Gallant, J.L. 2008: Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI. Human Brain Mapping 29(2): 142-156

Gong, K.; Marshall, B.D.; Chapman, W.G. 2013: Modeling lower critical solution temperature behavior of associating polymer brushes with classical density functional theory. Journal of Chemical Physics 139(9): 094904

Knox, A.J.; Scaling, A.L.; Pinto, M.P.; Bliesner, B.S.; Haughian, J.M.; Abdel-Hafiz, H.A.; Horwitz, K.B. 2014: Modeling luminal breast cancer heterogeneity: combination therapy to suppress a hormone receptor-negative, cytokeratin 5-positive subpopulation in luminal disease. Breast Cancer Research: Bcr 16(4): 418

Miura, T. 2008: Modeling lung branching morphogenesis. Current Topics in Developmental Biology 81: 291-310

Ambrogio, C.; Carmona, F.J.; Vidal, A.; Falcone, M.; Nieto, P.; Romero, O.A.; Puertas, S.; Vizoso, M.; Nadal, E.; Poggio, T.; Sánchez-Céspedes, M.; Esteller, M.; Mulero, F.; Voena, C.; Chiarle, R.; Barbacid, M.; Santamaría, D.; Villanueva, A. 2014: Modeling lung cancer evolution and preclinical response by orthotopic mouse allografts. Cancer Research 74(21): 5978-5988

Li, M.; Castillo, E.; Zheng, X.-L.; Luo, H.-Y.; Castillo, R.; Wu, Y.; Guerrero, T. 2013: Modeling lung deformation: a combined deformable image registration method with spatially varying Young's modulus estimates. Medical Physics 40(8): 081902

Baldazzi, V.; Paci, P.; Bernaschi, M.; Castiglione, F. 2009: Modeling lymphocyte homing and encounters in lymph nodes. Bmc Bioinformatics 10: 387

Loriot, S.éb.; Cazals, F.éd.ér. 2010: Modeling macro-molecular interfaces with Intervor. Bioinformatics 26(7): 964-965

Golingo, R.P. 2007: Modeling magnetic fields measured by surface probes embedded in a cylindrical flux conserver. Review of Scientific Instruments 78(3): 033504

Singh, G.; Tan, E.L.; Chen, Z.N. 2011: Modeling magnetic photonic crystals with lossy ferrites using an efficient complex envelope alternating-direction-implicit finite-difference time-domain method. Optics Letters 36(8): 1494-1496

Petr, J.; Schramm, G.; Hofheinz, F.; Langner, J.; van den Hoff, J.ör. 2014: Modeling magnetization transfer effects of Q2TIPS bolus saturation in multi-Ti pulsed arterial spin labeling. Magnetic Resonance in Medicine 72(4): 1007-1014

Schira, M.M.; Tyler, C.W.; Spehar, B.; Breakspear, M. 2010: Modeling magnification and anisotropy in the primate foveal confluence. Plos Computational Biology 6(1): E1000651

Luo, Q.; Gao, J.-H. 2010: Modeling magnitude and phase neuronal current MRi signal dependence on echo time. Magnetic Resonance in Medicine 64(6): 1832-1837

Huang, J.C.; Jojic, N. 2011: Modeling major histocompatibility complex binding by nonparametric averaging of multiple predictors and sequence encodings. Journal of Immunological Methods 374(1-2): 35-42

Ferguson, M.K.; Siddique, J.; Karrison, T. 2008: Modeling major lung resection outcomes using classification trees and multiple imputation techniques. European Journal of Cardio-Thoracic Surgery: Official Journal of the European Association for Cardio-Thoracic Surgery 34(5): 1085-1089

Bandeiras, C.át.; Trovoada, M.J.; Gonçalves, L.íg.A.; Marinho, C.áu.R.F.; Turner, L.; Hviid, L.; Penha-Gonçalves, C.; Gomes, M.G.M. 2014: Modeling malaria infection and immunity against variant surface antigens in Príncipe Island, West Africa. Plos one 9(2): E88110

Guo, X.; Lai, S.; Chen, H.; Tian, M.; Zhang, G. 2017: Chronic penetrating renal trauma due to iron wire ingestion: An unusual case report. Medicine 96(49): E8943

Dailey, J.I. 2010: Modeling manipulation in medical education. Advances in Health Sciences Education: Theory and Practice 15(2): 291-295

Stoelinga, C.N.J.; Lutfi, R.A. 2011: Modeling manner of contact in the synthesis of impact sounds for perceptual research. Journal of the Acoustical Society of America 130(2): El62-El68

Zou, Y.; Zheng, W. 2013: Modeling manure colloid-facilitated transport of the weakly hydrophobic antibiotic florfenicol in saturated soil columns. Environmental Science and Technology 47(10): 5185-5192

Lovvorn, J.R.; Grebmeier, J.M.; Cooper, L.W.; Bump, J.K.; Richman, S.E. 2009: Modeling marine protected areas for threatened eiders in a climatically changing Bering Sea. Ecological Applications: a Publication of the Ecological Society of America 19(6): 1596-1613

Eriksson, J.; Fenyö, D. 2011: Modeling mass spectrometry-based protein analysis. Methods in Molecular Biology 694: 109-117

Pereira, D.Y.; Yip, A.T.; Lee, B.S.; Kamei, D.T. 2014: Modeling mass transfer from carmustine-loaded polymeric implants for malignant gliomas. Journal of Laboratory Automation 19(1): 19-34

Nagy, Z.; Koppa, P.; Ujhelyi, F.; Dietz, E.; Frohmann, S.; Orlic, S. 2007: Modeling material saturation effects in microholographic recording. Optics Express 15(4): 1732-1737

Bawolin, N.K.; Li, M.G.; Chen, X.B.; Zhang, W.J. 2010: Modeling material-degradation-induced elastic property of tissue engineering scaffolds. Journal of Biomechanical Engineering 132(11): 111001

Pastore, M.; De Angelis, F. 2014: Modeling materials and processes in dye-sensitized solar cells: understanding the mechanism, improving the efficiency. Topics in Current Chemistry 352: 151-236

De Angelis, F. 2014: Modeling materials and processes in hybrid/organic photovoltaics: from dye-sensitized to perovskite solar cells. Accounts of Chemical Research 47(11): 3349-3360

Prata, N.; Bell, S.; Quaiyum, M.Abdul. 2014: Modeling maternal mortality in Bangladesh: the role of misoprostol in postpartum hemorrhage prevention. Bmc Pregnancy and Childbirth 14: 78

Childs, E.J.; Palmer, C.G.S.; Lange, K.; Sinsheimer, J.S. 2010: Modeling maternal-offspring gene-gene interactions: the extended-MFG test. Genetic Epidemiology 34(5): 512-521

Liao, Z.M.; Huebel, J.; Trenholme, J.; Manes, K.; Carr, C.W. 2011: Modeling max-of-N fluence distribution using measured shot-to-shot beam contrast. Applied Optics 50(20): 3547-3552

Lathia, J.D. 2014: Modeling mayhem: predicting invasion and proliferation kinetics in IDH1 mutant glioblastoma with mathematical models. Neuro-Oncology 16(6): 763-764

Rakovski, C.; Weisenberger, D.J.; Marjoram, P.; Laird, P.W.; Siegmund, K.D. 2011: Modeling measurement error in tumor characterization studies. Bmc Bioinformatics 12: 284

Hill, F.A.; Havel, T.F.; Livermore, C. 2009: Modeling mechanical energy storage in springs based on carbon nanotubes. Nanotechnology 20(25): 255704

Hendrikson, W.J.; van Blitterswijk, C.A.; Verdonschot, N.; Moroni, L.; Rouwkema, J. 2014: Modeling mechanical signals on the surface of µCT and CAD based rapid prototype scaffold models to predict (early stage) tissue development. Biotechnology and Bioengineering 111(9): 1864-1875

Hadid, A.; Epstein, Y.; Shabshin, N.; Gefen, A. 2012: Modeling mechanical strains and stresses in soft tissues of the shoulder during load carriage based on load-bearing open MRi. Journal of Applied Physiology 112(4): 597-606

Glennan, S. 2005: Modeling mechanisms. Studies in History and Philosophy of Biological and Biomedical Sciences 36(2): 443-464

Tsaneva-Atanasova, K.; Osinga, H.M.; Tabak, J.ël.; Pedersen, M.G. 2010: Modeling mechanisms of cell secretion. Acta Biotheoretica 58(4): 315-327

Panetta, J.C.; Sparreboom, A.; Pui, C.-H.; Relling, M.V.; Evans, W.E. 2010: Modeling mechanisms of in vivo variability in methotrexate accumulation and folate pathway inhibition in acute lymphoblastic leukemia cells. Plos Computational Biology 6(12): E1001019

Lu, Z.-L.; Liu, J.; Dosher, B.A. 2010: Modeling mechanisms of perceptual learning with augmented Hebbian re-weighting. Vision Research 50(4): 375-390

Thomas, M.S.C.; Knowland, V.C.P. 2014: Modeling mechanisms of persisting and resolving delay in language development. Journal of Speech Language and Hearing Research: Jslhr 57(2): 467-483

Grant, J.R.; Rhee, J.S.; Pintar, F.A.; Yoganandan, N. 2007: Modeling mechanisms of skull base injury for drivers in motor vehicle collisions. Otolaryngology--Head and Neck Surgery: Official Journal of American Academy of Otolaryngology-Head and Neck Surgery 137(2): 195-200

Handorf, T.; Klipp, E. 2012: Modeling mechanistic biological networks: an advanced Boolean approach. Bioinformatics 28(4): 557-563

Hong, W.; Wang, X. 2012: Modeling mechanochromatic lamellar gels. Physical Review. e Statistical Nonlinear and Soft Matter Physics 85(3 Part 1): 031801

Moreo, P.; García-Aznar, J.é M.; Doblaré, M. 2008: Modeling mechanosensing and its effect on the migration and proliferation of adherent cells. Acta Biomaterialia 4(3): 613-621

Penfold, C.A.; Brown, P.E.; Lawrence, N.D.; Goldman, A.S.H. 2012: Modeling meiotic chromosomes indicates a size dependent contribution of telomere clustering and chromosome rigidity to homologue juxtaposition. Plos Computational Biology 8(5): E1002496

Khelashvili, G.; Harries, D.; Weinstein, H. 2009: Modeling membrane deformations and lipid demixing upon protein-membrane interaction: the BAR dimer adsorption. Biophysical Journal 97(6): 1626-1635

Stites, E.C. 2010: Modeling membrane localization: case study of a Ras signaling model. Advances in Experimental Medicine and Biology 680: 661-667

Kochva, U.; Leonov, H.; Arkin, I.T.; Adams, P.D. 2004: Modeling membrane proteins utilizing information from silent amino acid substitutions. Current Protocols in Bioinformatics Chapter 5: Unit 5.3

Campelo, F.; Fabrikant, G.; McMahon, H.T.; Kozlov, M.M. 2010: Modeling membrane shaping by proteins: focus on EHD2 and N-BAR domains. Febs Letters 584(9): 1830-1839

Delemotte, L.; Dehez, F.ço.; Treptow, W.; Tarek, M. 2008: Modeling membranes under a transmembrane potential. Journal of Physical Chemistry. B 112(18): 5547-5550

Cunningham, C.E.; Walker, J.R.; Eastwood, J.D.; Westra, H.; Rimas, H.; Chen, Y.; Marcus, M.; Swinson, R.P.; Bracken, K.; The Mobilizing Minds Research Group 2014: Modeling mental health information preferences during the early adult years: a discrete choice conjoint experiment. Journal of Health Communication 19(4): 413-440

Schultheis, H.; Bertel, S.; Barkowsky, T. 2014: Modeling mental spatial reasoning about cardinal directions. Cognitive Science 38(8): 1521-1561

Tom, K.R.; Newman, M.C.; Schmerfeld, J. 2010: Modeling mercury biomagnification (South River, Virginia, USA) to inform river management decision making. Environmental Toxicology and Chemistry 29(4): 1013-1020

Rappold, A.G.; Gelfand, A.E.; Holland, D.M. 2008: Modeling mercury deposition through latent space-time processes. Journal of the Royal Statistical Society. Series C Applied Statistics 57(2): 187-205

Zhao, B.; Zhang, Z.; Jin, J.; Pan, W.-P. 2010: Modeling mercury speciation in combustion flue gases using support vector machine: prediction and evaluation. Journal of Hazardous Materials 174(1-3): 244-250

Hall, K.D. 2012: Modeling metabolic adaptations and energy regulation in humans. Annual Review of Nutrition 32: 35-54

Bhat, A.G.; Vashisht, R.; Chandra, N. 2010: Modeling metabolic adjustment in Mycobacterium tuberculosis upon treatment with isoniazid. Systems and Synthetic Biology 4(4): 299-309

Owusu-Ansah, E.; Perrimon, N. 2014: Modeling metabolic homeostasis and nutrient sensing in Drosophila: implications for aging and metabolic diseases. Disease Models and Mechanisms 7(3): 343-350

Gerdtzen, Z.P. 2012: Modeling metabolic networks for mammalian cell systems: general considerations, modeling strategies, and available tools. Advances in Biochemical Engineering/Biotechnology 127: 71-108

Dräger, A.; Kronfeld, M.; Ziller, M.J.; Supper, J.; Planatscher, H.; Magnus, J.ør.B.; Oldiges, M.; Kohlbacher, O.; Zell, A. 2009: Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies. Bmc Systems Biology 3: 5

Levin, B.E.; Llabre, M.M.; Dong, C.; Elkind, M.S.V.; Stern, Y.; Rundek, T.; Sacco, R.L.; Wright, C.B. 2014: Modeling metabolic syndrome and its association with cognition: the Northern Manhattan study. Journal of the International Neuropsychological Society: JINS 20(10): 951-960

Fang, X.; Reifman, J.; Wallqvist, A. 2014: Modeling metabolism and stage-specific growth of Plasmodium falciparum HB3 during the intraerythrocytic developmental cycle. Molecular Biosystems 10(10): 2526-2537

Resendis-Antonio, O.; González-Torres, C.; Jaime-Muñoz, G.; Hernandez-Patiño, C.E.; Salgado-Muñoz, C.F. 2015: Modeling metabolism: a window toward a comprehensive interpretation of networks in cancer. Seminars in Cancer Biology 30: 79-87

Chen, H.; Meng, W.; Lei, K. 2014: Modeling metal binding by dissolved humic substance: a revisit to the fluorometric titration approach. Applied Spectroscopy 68(4): 421-427

Dutton, J.; Fisher, N.S. 2014: Modeling metal bioaccumulation and tissue distribution in killifish (Fundulus heteroclitus) in three contaminated estuaries. Environmental Toxicology and Chemistry 33(1): 89-101

Baumann, Z.; Fisher, N.S. 2011: Modeling metal bioaccumulation in a deposit-feeding polychaete from labile sediment fractions and from pore water. Science of the Total Environment 409(13): 2607-2615

Le, T.T.Y.; Leuven, R.S.E.W.; Hendriks, A.J. 2011: Modeling metal bioaccumulation in the invasive mussels Dreissena polymorpha and Dreissena rostriformis bugensis in the rivers Rhine and Meuse. Environmental Toxicology and Chemistry 30(12): 2825-2830

Ruan, C.; Huang, H.; Rodgers, M.T. 2007: Modeling metal cation-phosphate interactions in nucleic acids in the gas phase via alkali metal cation-triethyl phosphate complexes. Journal of Physical Chemistry. a 111(51): 13521-13527

Ruan, C.; Rodgers, M.T. 2009: Modeling metal cation-phosphate interactions in nucleic acids: activated dissociation of Mg+, Al+, Cu+, and Zn+ complexes of triethyl phosphate. Journal of the American Chemical Society 131(31): 10918-10928

Müller, E.; Hilty, L.M.; Widmer, R.; Schluep, M.; Faulstich, M. 2014: Modeling metal stocks and flows: a review of dynamic material flow analysis methods. Environmental Science and Technology 48(4): 2102-2113

Mendoza, A.; Hong, S.-H.; Osborne, T.; Khan, M.A.; Campbell, K.; Briggs, J.; Eleswarapu, A.; Buquo, L.; Ren, L.; Hewitt, S.M.; Dakir, E.H.; Dakir, E.-H.; Garfield, S.; Walker, R.; Merlino, G.; Green, J.E.; Hunter, K.W.; Wakefield, L.M.; Khanna, C. 2010: Modeling metastasis biology and therapy in real time in the mouse lung. Journal of Clinical Investigation 120(8): 2979-2988

Bos, P.D.; Nguyen, D.X.; Massagué, J. 2010: Modeling metastasis in the mouse. Current Opinion in Pharmacology 10(5): 571-577

Tong, Y.; Deng, Z. 2013: Modeling methods for identifying critical source areas of bacteria: recent developments and future perspectives. Water Environment Research: a Research Publication of the Water Environment Federation 85(3): 259-269

Roca, M.; Aranda, J.; Moliner, V.; Tuñón, Iñaki. 2012: Modeling methods for studying post-translational and transcriptional modifying enzymes. Current Opinion in Chemical Biology 16(5-6): 465-471

Golz, E.K.; Vander Griend, D.A. 2013: Modeling methylene blue aggregation in acidic solution to the limits of factor analysis. Analytical Chemistry 85(2): 1240-1246

Lai, X.; Wolkenhauer, O.; Vera, J. 2012: Modeling miRNA regulation in cancer signaling systems: miR-34a regulation of the p53/Sirt1 signaling module. Methods in Molecular Biology 880: 87-108

Luo, Z.; Azencott, R.; Zhao, Y. 2014: Modeling miRNA-mRNA interactions: fitting chemical kinetics equations to microarray data. Bmc Systems Biology 8: 19

Bhattacharya, S.; Coasne, B.; Hung, F.R.; Gubbins, K.E. 2009: Modeling micelle-templated mesoporous material SBA-15: atomistic model and gas adsorption studies. Langmuir: the Acs Journal of Surfaces and Colloids 25(10): 5802-5813

Aguda, B.D. 2013: Modeling microRNA-transcription factor networks in cancer. Advances in Experimental Medicine and Biology 774: 149-167

Salim, S.; Gilissen, L.; Rinzema, A.; Vermuë, M.H.; Wijffels, R.H. 2013: Modeling microalgal flocculation and sedimentation. Bioresource Technology 144: 602-607

Ketheesan, B.; Nirmalakhandan, N. 2013: Modeling microalgal growth in an airlift-driven raceway reactor. Bioresource Technology 136: 689-696

Larsen, P.; Hamada, Y.; Gilbert, J. 2012: Modeling microbial communities: current, developing, and future technologies for predicting microbial community interaction. Journal of Biotechnology 160(1-2): 17-24

Cornu, M.; Billoir, E.; Bergis, H.; Beaufort, A.; Zuliani, V. 2011: Modeling microbial competition in food: application to the behavior of Listeria monocytogenes and lactic acid flora in pork meat products. Food Microbiology 28(4): 639-647

Boumba, V.A.; Kourkoumelis, N.; Gousia, P.; Economou, V.; Papadopoulou, C.; Vougiouklakis, T. 2013: Modeling microbial ethanol production by E. coli under aerobic/anaerobic conditions: applicability to real postmortem cases and to postmortem blood derived microbial cultures. Forensic Science International 232(1-3): 191-198

Ni, B-Jie.; Fang, F.; Rittmann, B.E.; Yu, H-Qing. 2009: Modeling microbial products in activated sludge under feast-famine conditions. Environmental Science and Technology 43(7): 2489-2497

Tsironi, T.N.; Taoukis, P.S. 2010: Modeling microbial spoilage and quality of gilthead seabream fillets: combined effect of osmotic pretreatment, modified atmosphere packaging, and nisin on shelf life. Journal of Food Science 75(4): M243-M251

Alfa, M.J.; Howie, R. 2009: Modeling microbial survival in buildup biofilm for complex medical devices. Bmc Infectious Diseases 9: 56

Gawande, N.A.; Reinhart, D.R.; Yeh, G.-T. 2010: Modeling microbiological and chemical processes in municipal solid waste bioreactor, Part I: Development of a three-phase numerical model BIOKEMOD-3P. Waste Management 30(2): 202-210

Gawande, N.A.; Reinhart, D.R.; Yeh, G.-T. 2010: Modeling microbiological and chemical processes in municipal solid waste bioreactor, Part II: Application of numerical model BIOKEMOD-3P. Waste Management 30(2): 211-218

Usta, O.Berk.; Alexeev, A.; Zhu, G.; Balazs, A.C. 2008: Modeling microcapsules that communicate through nanoparticles to undergo self-propelled motion. Acs Nano 2(3): 471-476

Donaldson, F.; Ruffoni, D.; Schneider, P.; Levchuk, A.; Zwahlen, A.; Pankaj, P.; Müller, R. 2014: Modeling microdamage behavior of cortical bone. Biomechanics and Modeling in Mechanobiology 13(6): 1227-1242

Saylor, D.M.; Kim, C.-S.; Patwardhan, D.V.; Warren, J.A. 2009: Modeling microstructure development and release kinetics in controlled drug release coatings. Journal of Pharmaceutical Sciences 98(1): 169-186

Kimura, A.; Onami, S. 2010: Modeling microtubule-mediated forces and centrosome positioning in Caenorhabditis elegans embryos. Methods in Cell Biology 97: 437-453

Pitarch, J.; Catalá-Civera, Jé.M.; Peñaranda-Foix, F.L.; García-Baños, B. 2007: Modeling microwave power structures based on k-furcated waveguides arbitrarily filled with materials by modal techniques. Journal of Microwave Power and Electromagnetic Energy: a Publication of the International Microwave Power Institute 41(4): 46-61

Bastin, C.; Laloux, L.; Gillon, A.; Miglior, F.; Soyeurt, H.; Hammami, H.; Bertozzi, C.; Gengler, N. 2009: Modeling milk urea of Walloon dairy cows in management perspectives. Journal of Dairy Science 92(7): 3529-3540

Singh, S.K.; Srivastava, P.K.; Gupta, M.; Mukherjee, S. 2012: Modeling mineral phase change chemistry of groundwater in a rural-urban fringe. Water Science and Technology: a Journal of the International Association on Water Pollution Research 66(7): 1502-1510

Bruce, D.; Stall, R.; Fata, A.; Campbell, R.T. 2014: Modeling minority stress effects on homelessness and health disparities among young men who have sex with men. Journal of Urban Health: Bulletin of the new York Academy of Medicine 91(3): 568-580

Yoshizaki, J.; Pollock, K.H.; Brownie, C.; Webster, R.A. 2009: Modeling misidentification errors in capture-recapture studies using photographic identification of evolving marks. Ecology 90(1): 3-9

Smolkowski, K.; Danaher, B.G.; Seeley, J.R.; Kosty, D.B.; Severson, H.H. 2010: Modeling missing binary outcome data in a successful web-based smokeless tobacco cessation program. Addiction 105(6): 1005-1015

Saucerman, J.J. 2013: Modeling mitochondrial ROS: a great balancing act. Biophysical Journal 105(6): 1287-1288

Bazil, J.N.; Buzzard, G.T.; Rundell, A.E. 2010: Modeling mitochondrial bioenergetics with integrated volume dynamics. Plos Computational Biology 6(1): E1000632

Palladino, M.J. 2010: Modeling mitochondrial encephalomyopathy in Drosophila. Neurobiology of Disease 40(1): 40-45

Jafri, M.S.; Kumar, R. 2014: Modeling mitochondrial function and its role in disease. Progress in Molecular Biology and Translational Science 123: 103-125

Bhatia, S.K.; Nicholson, D. 2008: Modeling mixture transport at the nanoscale: departure from existing paradigms. Physical Review Letters 100(23): 236103

Thienpont, B.; Barata, C.; Raldúa, D. 2013: Modeling mixtures of thyroid gland function disruptors in a vertebrate alternative model, the zebrafish eleutheroembryo. Toxicology and Applied Pharmacology 269(2): 169-175

Huang, C.-C. 2010: Modeling mode characteristics of transverse anisotropic waveguides using a vector pseudospectral approach. Optics Express 18(25): 26583-26599

Huang, Y.; Liu, L.; Liu, W.; Liu, S.; Liu, S. 2011: Modeling molecular acidity with electronic properties and Hammett constants for substituted benzoic acids. Journal of Physical Chemistry. a 115(51): 14697-14707

Silverman, G.A.; Luke, C.J.; Bhatia, S.R.; Long, O.S.; Vetica, A.C.; Perlmutter, D.H.; Pak, S.C. 2009: Modeling molecular and cellular aspects of human disease using the nematode Caenorhabditis elegans. Pediatric Research 65(1): 10-18

Rogers, D.M.; Beck, T.L. 2008: Modeling molecular and ionic absolute solvation free energies with quasichemical theory bounds. Journal of Chemical Physics 129(13): 134505

Sinitskiy, A.V.; Tchougréeff, A.L.; Tokmachev, A.M.; Dronskowski, R. 2009: Modeling molecular crystals formed by spin-active metal complexes by atom-atom potentials. Physical Chemistry Chemical Physics: Pccp 11(46): 10983-10993

Arntsen, C.; Lopata, K.; Wall, M.R.; Bartell, L.; Neuhauser, D. 2011: Modeling molecular effects on plasmon transport: silver nanoparticles with tartrazine. Journal of Chemical Physics 134(8): 084101

Puskar, K.M.; Parisi-Amon, A.; Ta'asan, S.; Schwartz, R.; LeDuc, P.R. 2007: Modeling molecular interactions to understand spatial crowding effects on heterodimer formations. Physical Review. E Statistical Nonlinear and Soft Matter Physics 76(4 Part 1): 041904

Taxin, Z.H.; Neymotin, S.A.; Mohan, A.; Lipton, P.; Lytton, W.W. 2014: Modeling molecular pathways of neuronal ischemia. Progress in Molecular Biology and Translational Science 123: 249-275

Shaffer, C.A.; Zwolak, J.W.; Randhawa, R.; Tyson, J.J. 2009: Modeling molecular regulatory networks with JigCell and PET. Methods in Molecular Biology 500: 81-111

Morris, M.; Jordan, M.J.T. 2013: Modeling molecular response in uniform and non-uniform electric fields. Journal of Chemical Physics 138(5): 054111

Chen, C-Chih.; Epp, T.; Jenkins, E.; Waldner, C.; Curry, P.S.; Soos, C. 2013: Modeling monthly variation of Culex tarsalis (Diptera: Culicidae) abundance and West Nile Virus infection rate in the Canadian Prairies. International Journal of Environmental Research and Public Health 10(7): 3033-3051

Pugach, O.; Hedeker, D.; Richmond, M.J.; Sokolovsky, A.; Mermelstein, R. 2014: Modeling mood variation and covariation among adolescent smokers: application of a bivariate location-scale mixed-effects model. Nicotine and Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco 16(Suppl 2): S151-S158

Hedeker, D.; Mermelstein, R.J.; Berbaum, M.L.; Campbell, R.T. 2009: Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data. Addiction 104(2): 297-307

Enculescu, M.; Falcke, M. 2012: Modeling morphodynamic phenotypes and dynamic regimes of cell motion. Advances in Experimental Medicine and Biology 736: 337-358

Laflamme, M. 2014: Modeling morphological diversity in the oldest large multicellular organisms. Proceedings of the National Academy of Sciences of the United States of America 111(36): 12962-12963

Campelo, F. 2009: Modeling morphological instabilities in lipid membranes with anchored amphiphilic polymers. Journal of Chemical Biology 2(2): 65-80

Böckenholt, U. 2014: Modeling motivated misreports to sensitive survey questions. Psychometrika 79(3): 515-537

Tseng, C.-M.; Chang, H.-L.; Woo, T.H. 2013: Modeling motivation and habit in driving behavior under lifetime driver's license revocation. Accident; Analysis and Prevention 51: 260-267

Hall, B.C.; Stewart, D.G.; Arger, C.; Athenour, D.R.; Effinger, J. 2014: Modeling motivation three ways: effects of Mi metrics on treatment outcomes among adolescents. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors 28(1): 307-312

Ward, R.D.; Simpson, E.H.; Kandel, E.R.; Balsam, P.D. 2011: Modeling motivational deficits in mouse models of schizophrenia: behavior analysis as a guide for neuroscience. Behavioural Processes 87(1): 149-156

Arbab, M.; Baars, S.; Geijsen, N. 2014: Modeling motor neuron disease: the matter of time. Trends in Neurosciences 37(11): 642-652

Gkritza, K. 2009: Modeling motorcycle helmet use in Iowa: evidence from six roadside observational surveys. Accident; Analysis and Prevention 41(3): 479-484

Mugge, W.; Munts, A.G.; Schouten, A.C.; van der Helm, F.C.T. 2012: Modeling movement disorders--CRPS-related dystonia explained by abnormal proprioceptive reflexes. Journal of Biomechanics 45(1): 90-98

Lin, C.J.; Chen, H.-J. 2014: Modeling movements of a long hand-held tool with effects of moments of inertia. Human Movement Science 34: 233-245

Anderson, D.J. 2014: Modeling mucosal cell-associated HIV type 1 transmission in vitro. Journal of Infectious Diseases 210(Suppl 3): S648-S653

Müller, H-Peter. 2008: Modeling mucosal dimensions after implantation of a bio-absorbable membrane for surgical root coverage. Clinical Oral Investigations 12(3): 249-255

Sütterlin, T.; Huber, S.; Dickhaus, H.; Grabe, N. 2009: Modeling multi-cellular behavior in epidermal tissue homeostasis via finite state machines in multi-agent systems. Bioinformatics 25(16): 2057-2063

Wang, Y.Jason.; Nguyen, M.T.; Steffens, J.T.; Tong, Z.; Wang, Y.; Hopke, P.K.; Zhang, K.Max. 2013: Modeling multi-scale aerosol dynamics and micro-environmental air quality near a large highway intersection using the CTAG model. Science of the Total Environment 443: 375-386

Chen, L.; Morrey, C.P.; Gu, H.; Halper, M.; Perl, Y. 2009: Modeling multi-typed structurally viewed chemicals with the UMLS Refined Semantic Network. Journal of the American Medical Informatics Association: Jamia 16(1): 116-131

Muirhead, C.A.; Wakeley, J. 2009: Modeling multiallelic selection using a Moran model. Genetics 182(4): 1141-1157

Kuksenok, O.; Balazs, A.C. 2007: Modeling multicomponent reactive membranes. Physical Review. E Statistical Nonlinear and Soft Matter Physics 75(5 Part 1): 051906

Chaudhri, A.; Bell, J.B.; Garcia, A.L.; Donev, A. 2014: Modeling multiphase flow using fluctuating hydrodynamics. Physical Review. e Statistical Nonlinear and Soft Matter Physics 90(3): 033014

Hartmann, A.ás.; Lemos, J.ão.M.; Vinga, S. 2015: Modeling multiple experiments using regularized optimization: a case study on bacterial glucose utilization dynamics. Computers in Biology and Medicine 63: 301-309

Böckenholt, U. 2012: Modeling multiple response processes in judgment and choice. Psychological Methods 17(4): 665-678

Lanza, S.T.; Rhoades, B.L.; Greenberg, M.T.; Cox, M.; Vernon-Feagans, L.; Cox, M.; Blair, C.; Burchinal, P.; Burton, L.; Crnic, K.; Crouter, N.; Garrett-Peters, P.; Granger, D.; Greenberg, M.; Lanza, S.; Miccio, A.; Mills-Koonce, R.; Skinner, D.; Stifter, C.; Taylor, L.; Werner, E.; Willoughby, M. 2011: Modeling multiple risks during infancy to predict quality of the caregiving environment: contributions of a person-centered approach. Infant Behavior and Development 34(3): 390-406

Schreiner, B.; Heppner, F.L.; Becher, B. 2009: Modeling multiple sclerosis in laboratory animals. Seminars in Immunopathology 31(4): 479-495

Lundstrom, B.N. 2015: Modeling multiple time scale firing rate adaptation in a neural network of local field potentials. Journal of Computational Neuroscience 38(1): 189-202

Berry, J.; Grant, M. 2011: Modeling multiple time scales during glass formation with phase-field crystals. Physical Review Letters 106(17): 175702

Spencer, J.A.; Kim, C.; Kim, J.-S.; Evstatiev, E.G.; Svidzinski, V.; Cluggish, B. 2014: Modeling multiple-frequency electron cyclotron resonance heating. Review of Scientific Instruments 85(2): 02a914

Yu, Y.; Wang, W.; He, H.; Lu, T. 2014: Modeling multiscale evolution of numerous voids in shocked brittle material. Physical Review. e Statistical Nonlinear and Soft Matter Physics 89(4): 043309

Lyu, S.; Simoncelli, E.P. 2009: Modeling multiscale subbands of photographic images with fields of Gaussian scale mixtures. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(4): 693-706

Martin, J.G.; Meredith, M.A.; Ahmad, K. 2009: Modeling multisensory enhancement with self-organizing maps. Frontiers in Computational Neuroscience 3: 8

Seeman, T.; Gruenewald, T.; Karlamangla, A.; Sidney, S.; Liu, K.; McEwen, B.; Schwartz, J. 2010: Modeling multisystem biological risk in young adults: the Coronary Artery Risk Development in Young Adults Study. American Journal of Human Biology: the Official Journal of the Human Biology Council 22(4): 463-472

Monine, M.I.; Posner, R.G.; Savage, P.B.; Faeder, J.R.; Hlavacek, W.S. 2010: Modeling multivalent ligand-receptor interactions with steric constraints on configurations of cell-surface receptor aggregates. Biophysical Journal 98(1): 48-56

Jamshidi, A.A.; Kirby, M.J. 2011: Modeling multivariate time series on manifolds with skew radial basis functions. Neural Computation 23(1): 97-123

Li, Y.; Huang, G. 2010: Modeling municipal solid waste management system under uncertainty. Journal of the Air and Waste Management Association 60(4): 439-453

Zadpoor, A.A.; Nikooyan, A.A. 2010: Modeling muscle activity to study the effects of footwear on the impact forces and vibrations of the human body during running. Journal of Biomechanics 43(2): 186-193

Szczurek, E.; Beerenwinkel, N. 2014: Modeling mutual exclusivity of cancer mutations. Plos Computational Biology 10(3): E1003503

Tiburcy, M.; Zimmermann, W.-H. 2014: Modeling myocardial growth and hypertrophy in engineered heart muscle. Trends in Cardiovascular Medicine 24(1): 7-13

Ovsepyan, A.A.; Panchenkov, D.N.; Prokhortchouk, E.B.; Telegin, G.B.; Zhigalova, N.A.; Golubev, E.P.; Sviridova, T.E.; Matskeplishvili, S.T.; Skryabin, K.G.; Buziashvili, U.I. 2011: Modeling myocardial infarction in mice: methodology, monitoring, pathomorphology. Acta Naturae 3(1): 107-115

Yuan, F.; Chi, Y.; Huang, S.; Liu, J. 2012: Modeling n-furcated liver vessels from a 3-D segmented volume using hole-making and subdivision methods. IEEE Transactions on Bio-Medical Engineering 59(2): 552-561

Schürch, D.; Vanhecke, D.; Clift, M.J.D.; Raemy, D.; de Aberasturi, D.Jimenez.; Parak, W.J.; Gehr, P.; Petri-Fink, A.; Rothen-Rutishauser, B. 2014: Modeling nanoparticle-alveolar epithelial cell interactions under breathing conditions using captive bubble surfactometry. Langmuir: the Acs Journal of Surfaces and Colloids 30(17): 4924-4932

Letfullin, R.R.; Iversen, C.B.; George, T.F. 2011: Modeling nanophotothermal therapy: kinetics of thermal ablation of healthy and cancerous cell organelles and gold nanoparticles. Nanomedicine: Nanotechnology Biology and Medicine 7(2): 137-145

Comer, J.R.; Wells, D.B.; Aksimentiev, A. 2011: Modeling nanopores for sequencing DNA. Methods in Molecular Biology 749: 317-358

Aveyard, R.; Ferrando, R.; Johnston, R.L.; Yuan, J. 2014: Modeling nanoscale inhomogeneities for quantitative HAADF STEM imaging. Physical Review Letters 113(7): 075501

Dale, A.L.; Lowry, G.V.; Casman, E.A. 2013: Modeling nanosilver transformations in freshwater sediments. Environmental Science and Technology 47(22): 12920-12928

Bes, F.; Jobert, M.; Schulz, H. 2009: Modeling napping, post-lunch dip, and other variations in human sleep propensity. Sleep 32(3): 392-398

Cannon, D.E.; Frank, D.O.; Kimbell, J.S.; Poetker, D.M.; Rhee, J.S. 2013: Modeling nasal physiology changes due to septal perforations. Otolaryngology--Head and Neck Surgery: Official Journal of American Academy of Otolaryngology-Head and Neck Surgery 148(3): 513-518

Galvez-Llompart, M.ía.; Zanni, R.; García-Domenech, R.ón. 2011: Modeling natural anti-inflammatory compounds by molecular topology. International Journal of Molecular Sciences 12(12): 9481-9503

Ranzato, M.'A.; Mnih, V.; Susskind, J.M.; Hinton, G.E. 2013: Modeling natural images using gated MRFs. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(9): 2206-2222

Flôres, D.E.F.L.; Tomotani, B.M.; Tachinardi, P.; Oda, G.A.; Valentinuzzi, V.S. 2013: Modeling natural photic entrainment in a subterranean rodent (Ctenomys aff. knighti), the Tuco-Tuco. Plos one 8(7): E68243

Brena, B.; Siegbahn, P.E.M.; Ågren, H. 2012: Modeling near-edge fine structure X-ray spectra of the manganese catalytic site for water oxidation in photosystem Ii. Journal of the American Chemical Society 134(41): 17157-17167

Wang, Y.J.; Zhang, K.M. 2009: Modeling near-road air quality using a computational fluid dynamics model, CFD-VIT-RIT. Environmental Science and Technology 43(20): 7778-7783

Ponce, E.; Ponce, D. 2011: Modeling neck and brain injuries in infants. IEEE Computer Graphics and Applications 31(6): 90-96

Werneburg, I.; Hinz, J.K.; Gumpenberger, M.; Volpato, V.; Natchev, N.; Joyce, W.G. 2015: Modeling neck mobility in fossil turtles. Journal of Experimental Zoology. Part B Molecular and Developmental Evolution 324(3): 230-243

Stickler, Y.; Martinek, J.; Rattay, F. 2009: Modeling needle stimulation of denervated muscle fibers: voltage-distance relations and fiber polarization effects. IEEE Transactions on Bio-Medical Engineering 56(10): 2396-2403

He, S.; Lam, A.T.; Jeune-Smith, Y.; Hess, H. 2012: Modeling negative cooperativity in streptavidin adsorption onto biotinylated microtubules. Langmuir: the Acs Journal of Surfaces and Colloids 28(29): 10635-10639

Nemukhin, A.V.; Kaliman, I.A.; Moskovsky, A.A. 2009: Modeling negative ion defect migration through the gramicidin a channel. Journal of Molecular Modeling 15(8): 1009-1012

Subramanian, S.V.; O'Malley, A.J. 2010: Modeling neighborhood effects: the futility of comparing mixed and marginal approaches. Epidemiology 21(4): 475-478; Discussion: 479-481

Galeta, P.; Sládek, V.ír.; Sosna, D.; Bruzek, J. 2011: Modeling neolithic dispersal in central Europe: demographic implications. American Journal of Physical Anthropology 146(1): 104-115

Dyck, P.J.; Carter, R.E.; Litchy, W.J. 2011: Modeling nerve conduction criteria for diagnosis of diabetic polyneuropathy. Muscle and Nerve 44(3): 340-345

Psiha, M.; Vlamos, P. 2015: Modeling neural circuits in Parkinson's disease. Advances in Experimental Medicine and Biology 822: 139-147

Trenado, C.; Haab, L.; Strauss, D.J. 2007: Modeling neural correlates of auditory attention in evoked potentials using corticothalamic feedback dynamics. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2007: 4281-4284

García-Parra, P.; Cavaliere, F.; Maroto, M.; Bilbao, L.; Obieta, I.; López de Munain, A.; Alava, J.é I.ña.; Izeta, A. 2012: Modeling neural differentiation on micropatterned substrates coated with neural matrix components. Frontiers in Cellular Neuroscience 6: 10

Pusic, A.D.; Grinberg, Y.Y.; Mitchell, H.M.; Kraig, R.P. 2011: Modeling neural immune signaling of episodic and chronic migraine using spreading depression in vitro. Journal of Visualized Experiments: Jove 2011(52)

Zohn, I.E.; Sarkar, A.A. 2008: Modeling neural tube defects in the mouse. Current Topics in Developmental Biology 84: 1-35

Xi, Y.; Noble, S.; Ekker, M. 2011: Modeling neurodegeneration in zebrafish. Current Neurology and Neuroscience Reports 11(3): 274-282

Jhala, S.S.; Hazell, A.S. 2011: Modeling neurodegenerative disease pathophysiology in thiamine deficiency: consequences of impaired oxidative metabolism. Neurochemistry International 58(3): 248-260

Li, J.; Le, W. 2013: Modeling neurodegenerative diseases in Caenorhabditis elegans. Experimental Neurology 250: 94-103

Laird, A.S.; Robberecht, W. 2011: Modeling neurodegenerative diseases in zebrafish embryos. Methods in Molecular Biology 793: 167-184

Ebert, A.D. 2012: Modeling neurodegenerative diseases using stem cells: is it accelerating drug discovery?. Future Medicinal Chemistry 4(13): 1651-1653

Telias, M.; Ben-Yosef, D. 2014: Modeling neurodevelopmental disorders using human pluripotent stem cells. Stem Cell Reviews and Reports 10(4): 494-511

Lopez-Duran, N.L.; Mayer, S.E.; Abelson, J.L. 2014: Modeling neuroendocrine stress reactivity in salivary cortisol: adjusting for peak latency variability. Stress 17(4): 285-295

Barnum, C.J.; Tansey, M.ú G. 2010: Modeling neuroinflammatory pathogenesis of Parkinson's disease. Progress in Brain Research 184: 113-132

Juopperi, T.A.; Song, H.; Ming, G.-L. 2011: Modeling neurological diseases using patient-derived induced pluripotent stem cells. Future Neurology 6(3): 363-373

Kunkanjanawan, T.; Noisa, P.; Parnpai, R. 2011: Modeling neurological disorders by human induced pluripotent stem cells. Journal of Biomedicine and Biotechnology 2011: 350131

Crabtree, C.A.; Higginson, J.S. 2009: Modeling neuromuscular effects of ankle foot orthoses (AFOs) in computer simulations of gait. Gait and Posture 29(1): 65-70

Ghaderi, V.S.; Allam, S.L.; Ambert, N.; Bouteiller, J.-M.C.; Choma, J.; Berger, T.W. 2011: Modeling neuron-glia interactions: from parametric model to neuromorphic hardware. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2011: 3581-3584

Luo, Q.; Jiang, X.; Chen, B.; Zhu, Y.; Gao, J.-H. 2011: Modeling neuronal current MRi signal with human neuron. Magnetic Resonance in Medicine 65(6): 1680-1689

Lemonnier, T.; Blanchard, S.ép.; Toli, D.; Roy, E.; Bigou, S.ép.; Froissart, R.; Rouvet, I.; Vitry, S.; Heard, J.M.; Bohl, D. 2011: Modeling neuronal defects associated with a lysosomal disorder using patient-derived induced pluripotent stem cells. Human Molecular Genetics 20(18): 3653-3666

Law, R.J.; Lightstone, F.C. 2009: Modeling neuronal nicotinic and GABA receptors: important interface salt-links and protein dynamics. Biophysical Journal 97(6): 1586-1594

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Zhu, X.-W.; Liu, S.-S.; Qin, L.-T.; Chen, F.; Liu, H.-L. 2013: Modeling non-monotonic dose-response relationships: model evaluation and hormetic quantities exploration. Ecotoxicology and Environmental Safety 89: 130-136

Loughran, J.; Eckersley, R.J.; Tang, M.-X. 2012: Modeling non-spherical oscillations and stability of acoustically driven shelled microbubbles. Journal of the Acoustical Society of America 131(6): 4349-4357

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Burson, K.M.; Yamamoto, M.; Cullen, W.G. 2012: Modeling noncontact atomic force microscopy resolution on corrugated surfaces. Beilstein Journal of Nanotechnology 3: 230-237

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Shimabuku, K.K.; Cho, H.; Townsend, E.B.; Rosario-Ortiz, F.L.; Summers, R.S. 2014: Modeling nonequilibrium adsorption of MIB and sulfamethoxazole by powdered activated carbon and the role of dissolved organic matter competition. Environmental Science and Technology 48(23): 13735-13742

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Shiyko, M.P.; Burkhalter, J.; Li, R.; Park, B.J. 2014: Modeling nonlinear time-dependent treatment effects: an application of the generalized time-varying effect model (TVEM). Journal of Consulting and Clinical Psychology 82(5): 760-772

Treeby, B.E.; Jaros, J.; Rendell, A.P.; Cox, B.T. 2012: Modeling nonlinear ultrasound propagation in heterogeneous media with power law absorption using a k-space pseudospectral method. Journal of the Acoustical Society of America 131(6): 4324-4336

Treeby, B.E. 2013: Modeling nonlinear wave propagation on nonuniform grids using a mapped k-space pseudospectral method. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 60(10): 2208-2213

Agrawal, D.K.; Woodhouse, J.; Seshia, A.A. 2013: Modeling nonlinearities in MEMS oscillators. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 60(8): 1646-1659

Hong, M.; Su, Z.; Wang, Q.; Cheng, L.; Qing, X. 2014: Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: theory, simulation, and experimental validation. Ultrasonics 54(3): 770-778

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Hidalgo-Rodríguez, M.; Fuguet, E.; Ràfols, C.; Rosés, M.í 2012: Modeling nonspecific toxicity of organic compounds to the fathead minnow fish by means of chromatographic systems. Analytical Chemistry 84(7): 3446-3452

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Ishikawa, F. 2013: Modeling normal and malignant human hematopoiesis in vivo through newborn NSG xenotransplantation. International Journal of Hematology 98(6): 634-640

Guo, T.; Tsai, D.; Suaning, G.J.; Lovell, N.H.; Dokos, S. 2012: Modeling normal and rebound excitation in mammalian retinal ganglion cells. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2012: 5506-5509

Kribs-Zaleta, C.M.; Jusot, J.-F.ço.; Vanhems, P.; Charles, S. 2011: Modeling nosocomial transmission of rotavirus in pediatric wards. Bulletin of Mathematical Biology 73(7): 1413-1442

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Beyer, C.; Pisetsky, D.S. 2013: Modeling nuclear molecule release during in vitro cell death. Autoimmunity 46(5): 298-301

Schauble, E.A. 2013: Modeling nuclear volume isotope effects in crystals. Proceedings of the National Academy of Sciences of the United States of America 110(44): 17714-17719