Section 55

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