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List of PDF Full Texts available from EurekaMag Chapter 58329

Chapter 58329 contains a list of PDF Full Texts available from EurekaMag.





Veselinovic, M.; Charlins, P.; Akkina, R., 2016:
Modeling HIV-1 Mucosal Transmission and Prevention in Humanized Mice

Sadre-Marandi, F.; Liu, Y.; Liu, J.; Tavener, S.; Zou, X., 2016:
Modeling HIV-1 viral capsid nucleation by dynamical systems

Johnson, P.C.D.; McAulay, K.A.; Montgomery, D.; Lake, A.; Shield, L.; Gallagher, A.; Little, A-Margaret.; Shah, A.; Marsh, S.G.E.; Taylor, G.Malcolm.; Jarrett, R.F., 2016:
Modeling HLA associations with EBV-positive and -negative Hodgkin lymphoma suggests distinct mechanisms in disease pathogenesis

Giaretta, A.; Di Camillo, B.; Barzon, L.; Toffolo, G.M., 2016:
Modeling HPV early promoter regulation

Wailoo, A.; Hernández, M.; Philips, C.; Brophy, S.; Siebert, S., 2015:
Modeling Health State Utility Values in Ankylosing Spondylitis: Comparisons of Direct and Indirect Methods

Telang, P.R.; Kalia, A.K.; Singh, M.P., 2016:
Modeling Healthcare Processes Using Commitments: An Empirical Evaluation

Stojanovic, J.; Gligorijevic, D.; Radosavljevic, V.; Djuric, N.; Grbovic, M.; Obradovic, Z., 2016:
Modeling Healthcare Quality via Compact Representations of Electronic Health Records

Cacao, E.; Cucinotta, F.A., 2016:
Modeling Heavy-Ion Impairment of Hippocampal Neurogenesis after Acute and Fractionated Irradiation

Sánchez, Óscar.; Calvo, J.; Ibáñez, C.; Guerrero, I.; Soler, J., 2016:
Modeling Hedgehog Signaling Through Flux-Saturated Mechanisms

Lloyd, T.C.; Allender, M.C.; Archer, G.; Phillips, C.A.; Byrd, J.; Moore, A.Russell., 2016:
Modeling Hematologic and Biochemical Parameters with Spatiotemporal Analysis for the Free-Ranging Eastern Box Turtle (Terrapene carolina carolina) in Illinois and Tennessee, a Potential Biosentinel

Torisawa, Y-Suke.; Mammoto, T.; Jiang, E.; Jiang, A.; Mammoto, A.; Watters, A.L.; Bahinski, A.; Ingber, D.E., 2017:
Modeling Hematopoiesis and Responses to Radiation Countermeasures in a Bone Marrow-on-a-Chip

Kong, L.; Wang, J.; Han, W.; Cao, Z., 2016:
Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model

Wright, A.G.C.; Hallquist, M.N.; Stepp, S.D.; Scott, L.N.; Beeney, J.E.; Lazarus, S.A.; Pilkonis, P.A., 2016:
Modeling Heterogeneity in Momentary Interpersonal and Affective Dynamic Processes in Borderline Personality Disorder

Torres, D.J.; Ricoy, U.M.; Roybal, S., 2016:
Modeling Honey Bee Populations

Andrei, A-Cristian., 2017:
Modeling Hospital Length of Stay Data: Pitfalls and Opportunities

Webster, E.M.; Qian, H.; Mackay, D.; Christensen, R.D.; Tietjen, B.; Zaleski, R., 2017:
Modeling Human Exposure to Indoor Contaminants: External Source to Body Tissues

Aires, Iês.Dinis.; Ambrósio, Aónio.Francisco.; Santiago, A.Raquel., 2016:
Modeling Human Glaucoma: Lessons from the in vitro Models

Norelli, M.; Camisa, B.; Bondanza, A., 2016:
Modeling Human Graft-Versus-Host Disease in Immunocompromised Mice

Xia, J.; Hu, Z.; Yoshihara, S.; Li, Y.; Jin, C-Hui.; Tan, S.; Li, W.; Chen, Q.; Sykes, M.; Yang, Y-Guang., 2017:
Modeling Human Leukemia Immunotherapy in Humanized Mice

Blanco, J.Cg.; Boukhvalova, M.S.; Perez, D.R.; Vogel, S.N.; Kajon, A., 2015:
Modeling Human Respiratory Viral Infections in the Cotton Rat ( Sigmodon hispidus )

Chang, C-Wei.; Lai, Y-Shin.; Westin, E.; Khodadadi-Jamayran, A.; Pawlik, K.M.; Lamb, L.S.; Goldman, F.D.; Townes, T.M., 2016:
Modeling Human Severe Combined Immunodeficiency and Correction by CRISPR/Cas9-Enhanced Gene Targeting

Mattis, V.B.; Svendsen, C.N., 2015:
Modeling Huntington׳s disease with patient-derived neurons

Kar, S.; Smith, D.W.; Gardiner, B.S.; Li, Y.; Wang, Y.; Grodzinsky, A.J., 2016:
Modeling IL-1 induced degradation of articular cartilage

Schlossmacher, M.G.; Tomlinson, J.J.; Santos, G.; Shutinoski, B.; Brown, E.G.; Manuel, D.; Mestre, T., 2016:
Modelling idiopathic Parkinson disease as a complex illness can inform incidence rate in healthy adults: the P R EDIGT score

Mohamed, S.Y.; Cai, L.; Khaled, F.; Banyon, C.; Wang, Z.; Al Rashidi, M.J.; Pitsch, H.; Curran, H.J.; Farooq, A.; Sarathy, S.Mani., 2016:
Modeling Ignition of a Heptane Isomer: Improved Thermodynamics, Reaction Pathways, Kinetics, and Rate Rule Optimizations for 2-Methylhexane

Mushayabasa, S.; Tapedzesa, G., 2016:
Modeling Illicit Drug Use Dynamics and Its Optimal Control Analysis

Papandreou, G.; Chen, L-Chieh.; Yuille, A.L., 2014:
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

Banks, H.T.; Hu, S.; Link, K.; Rosenberg, E.S.; Mitsuma, S.; Rosario, L., 2016:
Modeling Immune Response to BK Virus Infection and Donor Kidney in Renal Transplant Recipients

Kripke, K.; Hatzold, K.; Mugurungi, O.; Ncube, G.; Xaba, S.; Gold, E.; Ahanda, K.Seifert.; Kruse-Levy, N.; Njeuhmeli, E., 2016:
Modeling Impact and Cost-Effectiveness of Increased Efforts to Attract Voluntary Medical Male Circumcision Clients Ages 20-29 in Zimbabwe

Cacao, E.; Cucinotta, F.A., 2016:
Modeling Impaired Hippocampal Neurogenesis after Radiation Exposure

Homayouni, T.; Underwood, K.N.; Beyer, K.C.; Martin, E.R.; Allan, C.H.; Balasubramanian, R., 2016:
Modeling Implantable Passive Mechanisms for Modifying the Transmission of Forces and Movements Between Muscle and Tendons

Lopez, L.Fernandez.; Amaku, M.; Coutinho, F.Antonio.Bezerra.; Quam, M.; Burattini, M.Nascimento.; Struchiner, C.José.; Wilder-Smith, A.; Massad, E., 2017:
Modeling Importations and Exportations of Infectious Diseases via Travelers

Korol, L.V., 2015:
Modeling in Vitro Pathways of Activation of Lipid Peroxidation and Protein in Chronic Kidney Disease

Duncan, S.C.; Duncan, T.E., 1994:
Modeling Incomplete Longitudinal Substance Use Data Using Latent Variable Growth Curve Methodology

Rast, P.; Hofer, S.M.; Sparks, C., 2012:
Modeling Individual Differences in Within-Person Variation of Negative and Positive Affect in a Mixed Effects Location Scale Model Using BUGS/JAGS

Taksler, G.B.; Perzynski, A.T.; Kattan, M.W., 2016:
Modeling Individual Patient Preferences for Colorectal Cancer Screening Based on Their Tolerance for Complications Risk

Dehez, Fçois.; Ángyán, János.G.; Gutiérrez, I.Soteras.; Luque, F.Javier.; Schulten, K.; Chipot, C., 2007:
Modeling Induction Phenomena in Intermolecular Interactions with an Ab Initio Force Field

Hanh, C.Hong.; Khaziakhmetova, V.N.; Ziganshina, L.E., 2015:
Modeling Inflammatory Edema: Are the Models Interchangeable

Marintcheva, B., 2016:
Modeling Influenza Antigenic Shift and Drift with LEGO Bricks

Boianelli, A.; Nguyen, V.Kinh.; Ebensen, T.; Schulze, K.; Wilk, E.; Sharma, N.; Stegemann-Koniszewski, S.; Bruder, D.; Toapanta, F.R.; Guzmán, C.A.; Meyer-Hermann, M.; Hernandez-Vargas, E.A., 2016:
Modeling Influenza Virus Infection: A Roadmap for Influenza Research

Bezzerides, V.J.; Zhang, D.; Pu, W.T., 2016:
Modeling Inherited Arrhythmia Disorders Using Induced Pluripotent Stem Cell-Derived Cardiomyocytes

Zhu, M.; Rozell, C.J., 2016:
Modeling Inhibitory Interneurons in Efficient Sensory Coding Models

Mathioudakis, N.; Pronovost, P.J.; Cosgrove, S.E.; Hager, D.; Golden, S.Hill., 2015:
Modeling Inpatient Glucose Management Programs on Hospital Infection Control Programs: An Infrastructural Model of Excellence

Eggert, T.; Robinson, F.R.; Straube, A., 2017:
Modeling Inter-trial Variability of Saccade Trajectories: Effects of Lesions of the Oculomotor Part of the Fastigial Nucleus

Xing, S.; Grol, M.W.; Grutter, P.H.; Dixon, S.Jeffrey.; Komarova, S.V., 2016:
Modeling Interactions among Individual P2 Receptors to Explain Complex Response Patterns over a Wide Range of ATP Concentrations

Chu, X.; Aydin, F.; Dutt, M., 2018:
Modeling Interactions between Multicomponent Vesicles and Antimicrobial Peptide-Inspired Nanoparticles

Kröger, B.J.; Crawford, E.; Bekolay, T.; Eliasmith, C., 2016:
Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop

Shishkina, A.V.; Makarova, T.M.; Tereshchenkov, A.G.; Makarov, G.I.; Korshunova, G.A.; Bogdanov, A.A., 2016:
Modeling Interactions of Erythromycin Derivatives with Ribosomes

Cárdenas-García, M.; González-Pérez, P.P.; Montagna, S.; Cortés, O.Sánchez.; Caballero, E.Hernández., 2016:
Modeling Intercellular Communication as a Survival Strategy of Cancer Cells: An In Silico Approach on a Flexible Bioinformatics Framework

Shearman, S.; Dwyer, D.; Skiba, P.; Townsend, N., 2017:
Modeling Intermittent Cycling Performance in Hypoxia Using the Critical Power Concept

Stäubert, S.; Schaaf, M.; Jahn, F.; Brandner, R.; Winter, A., 2016:
Modeling Interoperable Information Systems with 3LGM² and IHE

Starks, T.J.; Castro, M.A.; Castiblanco, J.P.; Millar, B.M., 2016:
Modeling Interpersonal Correlates of Condomless Anal Sex among Gay and Bisexual Men: An Application of Attachment Theory

Lancaster, E.P.; Lenhart, S.; Ojogbo, E.J.; Rekant, S.I.; Scott, J.R.; Weimer, H.; New, J.C., 2018:
Modeling Interventions in the Owned Cat Population to Decrease Numbers, Knox County, TN

Mukesh, S.; Blake, D.T.; McKinnon, B.J.; Bhatti, P.T., 2016:
Modeling Intracochlear Magnetic Stimulation: A Finite-Element Analysis

Chan, D.; Ramey, S.; Ramey, C.; Schmitt, N., 2000:
Modeling Intraindividual Changes in Children's Social Skills at Home and at School: A Multivariate Latent Growth Approach to Understanding Between-Settings Differences in Children's Social Skill Development

Manem, V.S.K.; Kaveh, K.; Kohandel, M.; Sivaloganathan, S., 2016:
Modeling Invasion Dynamics with Spatial Random-Fitness Due to Micro-Environment

Mallard, C.; Vexler, Z.S., 2015:
Modeling Ischemia in the Immature Brain: How Translational Are Animal Models?

Holloway, P.M.; Gavins, F.N.E., 2016:
Modeling Ischemic Stroke In Vitro: Status Quo and Future Perspectives

Drosten, M.; Barbacid, M., 2016:
Modeling K-Ras-driven lung adenocarcinoma in mice: preclinical validation of therapeutic targets

Joseph, R.; Srivastava, O.P.; Pfister, R.R., 2017:
Modeling Keratoconus Using Induced Pluripotent Stem Cells

Hassoun, N., 2017:
Modeling Key Malaria Drugs' Impact on Global Health: A Reason to Invest in the Global Health Impact Index

Freedman, B.S., 2016:
Modeling Kidney Disease with iPS Cells

de J C Munanga, B.; Loiseau, Gérard.; Grabulos, Jël.; Mestres, C., 2016:
Modeling Lactic Fermentation of Gowé Using Lactobacillus Starter Culture

Godwin, H.J.; Reichle, E.D.; Menneer, T., 2016:
Modeling Lag-2 Revisits to Understand Trade-Offs in Mixed Control of Fixation Termination During Visual Search

James, P.M.A.; Janes, J.K.; Roe, A.D.; Cooke, B.J., 2017:
Modeling Landscape-Level Spatial Variation in Sex Ratio Skew in the Mountain Pine Beetle (Coleoptera: Curculionidae)

Epstein, J.; Michael, J.; Mandona, C.; Marques, F.; Dias-Cabral, A.C.; Thrash, M., 2015:
Modeling Langmuir isotherms with the Gillespie stochastic algorithm

Nielson, R.M.; Murphy, R.K.; Millsap, B.A.; Howe, W.H.; Gardner, G., 2017:
Modeling Late-Summer Distribution of Golden Eagles (Aquila chrysaetos) in the Western United States

Sharim, J.; Yazdi, D.; Baohan, A.; Behnke, E.; Pouratian, N., 2016:
Modeling Laterality of the Globus Pallidus Internus in Patients With Parkinson's Disease

Cho, S-Joo.; Goodwin, A.P., 2016:
Modeling Learning in Doubly Multilevel Binary Longitudinal Data Using Generalized Linear Mixed Models: An Application to Measuring and Explaining Word Learning

Rajan, V.; Dellaire, G.; Berman, J.N., 2018:
Modeling Leukemogenesis in the Zebrafish Using Genetic and Xenograft Models

Rogers, J.D.; Radosevich, A.J.; Yi, J.; Backman, V., 2013:
Modeling Light Scattering in Tissue as Continuous Random Media Using a Versatile Refractive Index Correlation Function

Vilhjálmsson, B.J.; Yang, J.; Finucane, H.K.; Gusev, A.; Lindström, S.; Ripke, S.; Genovese, G.; Loh, P-Ru.; Bhatia, G.; Do, R.; Hayeck, T.; Won, H-Hee.; Kathiresan, S.; Pato, M.; Pato, C.; Tamimi, R.; Stahl, E.; Zaitlen, N.; Pasaniuc, B.; Belbin, G.; Kenny, E.E.; Schierup, M.H.; De Jager, P.; Patsopoulos, N.A.; McCarroll, S.; Daly, M.; Purcell, S.; Chasman, D.; Neale, B.; Goddard, M.; Visscher, P.M.; Kraft, P.; Patterson, N.; Price, A.L.; Ripke, S.; Neale, B.M.; Corvin, A.; Walters, J.T.R.; F, 2016:
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bossa, G.Volpe.; Roth, J.; May, S., 2016:
Modeling Lipid-Lipid Correlations across a Bilayer Membrane Using the Quasi-chemical Approximation

Hollas, D.; Muchová, E.; Slavíček, P., 2016:
Modeling Liquid Photoemission Spectra: Path-Integral Molecular Dynamics Combined with Tuned Range-Separated Hybrid Functionals

Wang, L.; Deng, Y.; Knight, J.L.; Wu, Y.; Kim, B.; Sherman, W.; Shelley, J.C.; Lin, T.; Abel, R., 2013:
Modeling Local Structural Rearrangements Using FEP/REST: Application to Relative Binding Affinity Predictions of CDK2 Inhibitors

Limbu, S.; Hoang-Trong, T.M.; Prosser, B.L.; Lederer, W.Jonathan.; Jafri, M.Saleet., 2016:
Modeling Local X-ROS and Calcium Signaling in the Heart

Baumgartner, R.; Majdak, P., 2015:
Modeling Localization of Amplitude-Panned Virtual Sources in Sagittal Planes

Puntel, L.A.; Sawyer, J.E.; Barker, D.W.; Dietzel, R.; Poffenbarger, H.; Castellano, M.J.; Moore, K.J.; Thorburn, P.; Archontoulis, S.V., 2016:
Modeling Long-Term Corn Yield Response to Nitrogen Rate and Crop Rotation

Karachaliou, A.; Conlan, A.J.K.; Preziosi, M-Pierre.; Trotter, C.L., 2016:
Modeling Long-term Vaccination Strategies With MenAfriVac in the African Meningitis Belt

Kramer, T.; Valente-Dos-Santos, Jão.; Coelho-E-Silva, M.J.; Malina, R.M.; Huijgen, B.C.H.; Smith, J.; Elferink-Gemser, M.T.; Visscher, C., 2017:
Modeling Longitudinal Changes in 5 m Sprinting Performance Among Young Male Tennis Players

Montoliu, I.; Cominetti, O.; Boulangé, C.L.; Berger, B.; Siddharth, J.; Nicholson, J.; Martin, Fçois-Pierre.J., 2018:
Modeling Longitudinal Metabonomics and Microbiota Interactions in C57BL/6 Mice Fed a High Fat Diet

Hutchinson, L.G.; Mueller, H-J.; Gaffney, E.A.; Maini, P.K.; Wagg, J.; Phipps, A.; Boetsch, C.; Byrne, H.M.; Ribba, B., 2016:
Modeling Longitudinal Preclinical Tumor Size Data to Identify Transient Dynamics in Tumor Response to Antiangiogenic Drugs

Facchini, L.; Bellin, A.; Toro, E.Francisco., 2016:
Modeling Loss of Microvascular Wall Homeostasis during Glycocalyx Deterioration and Hypertension that Impacts Plasma Filtration and Solute Exchange

van Dillen, T.; Dekkers, F.; Bijwaard, H.; Brüske, I.; Wichmann, H-Erich.; Kreuzer, M.; Grosche, B., 2017:
Modeling Lung Carcinogenesis in Radon-Exposed Miner Cohorts: Accounting for Missing Information on Smoking

Jafarnejad, M.; Woodruff, M.C.; Zawieja, D.C.; Carroll, M.C.; Moore, J.E., 2016:
Modeling Lymph Flow and Fluid Exchange with Blood Vessels in Lymph Nodes

Byrne, B.M.; Goffin, R.D., 1993:
Modeling MTMM Data from Additive and Multiplicative Covariance Structures: An Audit of Construct Validity Concordance

Kattwinkel, M.; Reichert, P.; Rüegg, J.; Liess, M.; Schuwirth, N., 2017:
Modeling Macroinvertebrate Community Dynamics in Stream Mesocosms Contaminated with a Pesticide

Kavet, R.; Wyman, M.T.; Klimley, A.Peter., 2016:
Modeling Magnetic Fields from a DC Power Cable Buried Beneath San Francisco Bay Based on Empirical Measurements

Zhang, M.; Tidwell, V.; La Rosa, P.S.; Wilson, J.D.; Eswaran, H.; Nehorai, A., 2016:
Modeling Magnetomyograms of Uterine Contractions during Pregnancy Using a Multiscale Forward Electromagnetic Approach

Thompson, K.M.; Kisjes, K.H., 2015:
Modeling Measles Transmission in the North American Amish and Options for Outbreak Response

Elliott, S.D.; Dey, G.; Maimaiti, Y.; Ablat, H.; Filatova, E.A.; Fomengia, G.N., 2015:
Modeling Mechanism and Growth Reactions for New Nanofabrication Processes by Atomic Layer Deposition

Beaumont, K.A.; Mohana-Kumaran, N.; Haass, N.K., 2013:
Modeling Melanoma In Vitro and In Vivo

Greene, D'Artagnan.; Botello-Smith, W.M.; Follmer, A.; Xiao, L.; Lambros, E.; Luo, R., 2018:
Modeling Membrane Protein-Ligand Binding Interactions: The Human Purinergic Platelet Receptor

Meserole, F.B.; Chang, R.; Carey, T.R.; Machac, J.; Richardson, C.F., 1999:
Modeling Mercury Removal by Sorbent Injection

Parks, J.M.; Smith, J.C., 2017:
Modeling Mercury in Proteins

Gagetti, P.; Pasteran, F.; Martinez, M.P.; Fatouraei, M.; Gu, J.; Fernandez, R.; Paz, L.; Rose, W.E.; Corso, A.; Rosato, A.E., 2017:
Modeling Meropenem Treatment, Alone and in Combination with Daptomycin, for KPC-Producing Klebsiella pneumoniae Strains with Unusually Low Carbapenem MICs

Qualls, C.; Appenzeller, O., 2016:
Modeling Metabolism and Disease in Bioarcheology

Bloomer, D.T.; Kitevska, T.; Brand, I.L.; Jabbour, A.M.; Nguyen, H.; Hawkins, C.J., 2017:
Modeling Metazoan Apoptotic Pathways in Yeast

McCloskey, D.; Young, J.D.; Xu, S.; Palsson, B.O.; Feist, A.M., 2016:
Modeling Method for Increased Precision and Scope of Directly Measurable Fluxes at a Genome-Scale

Diemer, G.S.; Stedman, K.M., 2017:
Modeling Microvirus Capsid Protein Evolution Utilizing Metagenomic Sequence Data

Bjornsson, R.; Bühl, M., 2012:
Modeling Molecular Crystals by QM/MM: Self-Consistent Electrostatic Embedding for Geometry Optimizations and Molecular Property Calculations in the Solid

Cisneros, G.Andrés.; Wikfeldt, K.Thor.; Ojamäe, L.; Lu, J.; Xu, Y.; Torabifard, H.; Bartók, A.P.; Csányi, Gábor.; Molinero, V.; Paesani, F., 2017:
Modeling Molecular Interactions in Water: From Pairwise to Many-Body Potential Energy Functions

Fukuda, R.; Ehara, M.; Cammi, R., 2015:
Modeling Molecular Systems at Extreme Pressure by an Extension of the Polarizable Continuum Model (PCM) Based on the Symmetry-Adapted Cluster-Configuration Interaction (SAC-CI) Method: Confined Electronic Excited States of Furan as a Test Case

Hermle, T.; Braun, D.A.; Helmstädter, M.; Huber, T.B.; Hildebrandt, F., 2016:
Modeling Monogenic Human Nephrotic Syndrome in the Drosophila Garland Cell Nephrocyte

Robert, M.A.; Christofferson, R.C.; Silva, N.J.B.; Vasquez, C.; Mores, C.N.; Wearing, H.J., 2017:
Modeling Mosquito-Borne Disease Spread in U.S. Urbanized Areas: The Case of Dengue in Miami

Zhao, J.; Zhang, H., 2015:
Modeling Multiple Responses via Bootstrapping Margins with an Application to Genetic Association Testing

Wiley, J.F.; Gruenewald, T.L.; Karlamangla, A.S.; Seeman, T.E., 2017:
Modeling Multisystem Physiological Dysregulation

Saenz, J.B.; Burclaff, J.; Mills, J.C., 2017:
Modeling Murine Gastric Metaplasia Through Tamoxifen-Induced Acute Parietal Cell Loss

Liang, R.; Dong, W.; Shen, X.; Peng, X.; Aceves, A.G.; Liu, Y., 2017:
Modeling Myotonic Dystrophy 1 in C2C12 Myoblast Cells

Chu, L.; Greenstein, J.L.; Winslow, R.L., 2016:
Modeling Na + -Ca 2+ exchange in the heart: Allosteric activation, spatial localization, sparks and excitation-contraction coupling

Peng, B.; Liu, Y.; Zhou, Y.; Yang, L.; Zhang, G.; Liu, Y., 2015:
Modeling Nanoparticle Targeting to a Vascular Surface in Shear Flow Through Diffusive Particle Dynamics

Melle-Franco, M.; Brinkmann, G.; Zerbetto, F., 2015:
Modeling Nanotube Caps: The Relationship Between Fullerenes and Caps

Zhang, S-Zhen.; Ma, L-Xiang.; Qian, W-Jing.; Li, H-Fu.; Wang, Z-Feng.; Wang, H-Xia.; Wu, Z-Ying., 2016:
Modeling Neurological Disease by Rapid Conversion of Human Urine Cells into Functional Neurons

Talukdar, M.Tanveer.; Frost, H.Robert.; Diamond, S.G., 2016:
Modeling Neurovascular Coupling from Clustered Parameter Sets for Multimodal EEG-NIRS

Ordoñez, M.Paulina.; Steele, J.W., 2016:
Modeling Niemann Pick type C1 using human embryonic and induced pluripotent stem cells

Ustinov, E.A.; Do, D.D.; Jaroniec, M., 2005:
Modeling Nitrogen Adsorption in Spherical Pores of Siliceous Materials by Density Functional Theory

Morales, I.; Cooper, J.; Amador, Jé.A.; Boving, T.B., 2017:
Modeling Nitrogen Losses in Conventional and Advanced Soil-Based Onsite Wastewater Treatment Systems under Current and Changing Climate Conditions

Bugler, J.; Somers, K.P.; Simmie, J.M.; Güthe, F.; Curran, H.J., 2018:
Modeling Nitrogen Species as Pollutants: Thermochemical Influences

Xu, Z.; MacEachern, S.; Xu, X., 2015:
Modeling Non-Gaussian Time Series with Nonparametric Bayesian Model

Puri, M.; Biswas, A.N.; Fan, R.; Guo, Y.; Que, L., 2016:
Modeling Non-Heme Iron Halogenases: High-Spin Oxoiron(IV)-Halide Complexes That Halogenate C-H Bonds

Jang, J.; Yun, J.Dong.; Yang, S., 2016:
Modeling Non-Stationary Asymmetric Lens Blur by Normal Sinh-Arcsinh Model

Graffmann, N.; Ring, S.; Kawala, M-Ann.; Wruck, W.; Ncube, A.; Trompeter, H-Ingo.; Adjaye, J., 2017:
Modeling Nonalcoholic Fatty Liver Disease with Human Pluripotent Stem Cell-Derived Immature Hepatocyte-Like Cells Reveals Activation of PLIN2 and Confirms Regulatory Functions of Peroxisome Proliferator-Activated Receptor Alpha

Davis, C.Warren.; Di Toro, D.M., 2016:
Modeling Nonlinear Adsorption to Carbon with a Single Chemical Parameter: A Lognormal Langmuir Isotherm

Davis, C.Warren.; Di Toro, D.M., 2016:
Modeling Nonlinear Adsorption with a Single Chemical Parameter: Predicting Chemical Median Langmuir Binding Constants

Kwon, Y-Su.; Bae, M-Jung.; Chung, N.; Lee, Y-Rang.; Hwang, S.; Kim, S-Ae.; Choi, Y.Jean.; Park, Y-Seuk., 2016:
Modeling Occurrence of Urban Mosquitos Based on Land Use Types and Meteorological Factors in Korea

Uma, B.; Ayyaswamy, P.S.; Radhakrishnan, R.; Eckmann, D.M., 2012:
Modeling of a Nanoparticle Motion in a Newtonian Fluid: a Comparison Between Fluctuating Hydrodynamics and Generalized Langevin Procedures

Kashuba, N.A.; Krytskaya, G.A., 2015:
Modeling of Aggregation and Sedimentation of Nanoparticles and Microparticles Ina Gaseous Medium

Prodel, M.; Augusto, V.; Jouaneton, B.; Lamarsalle, L.; Xie, X., 2015:
Modeling Of Clinical Pathways In The Implantation Of Cardioverter Defibrillators From 2006 To 2013 Using The French Hospital P.M.S.I. Database

Zowall, H.; Brewer, C.; Deutsch, A., 2015:
Modeling Of Risks And Benefits Of Lung Cancer Screening Strategies Using Low-Dose Helical Ct (Ldct) Technology In Canada

Rose, N.; von Davier, M.; Nagengast, B., 2016:
Modeling Omitted and Not-Reached Items in IRT Models

Quwaider, M.; Taghizadeh, M.; Biswas, S., 2011:
Modeling On-Body DTN Packet Routing Delay in the Presence of Postural Disconnections

Cao, W.; Zhang, X.; Xu, K.; Wang, Y., 2018:
Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy

Rios Insua, D.; Banks, D.; Rios, J., 2015:
Modeling Opponents in Adversarial Risk Analysis

Bau, J.; Cardé, R.T., 2016:
Modeling Optimal Strategies for Finding a Resource-Linked, Windborne Odor Plume: Theories, Robotics, and Biomimetic Lessons from Flying Insects

Zamora, I.; Winiwarter, S., 2017:
Modeling Organic Anion-Transporting Polypeptide 1B1 Inhibition to Elucidate Interaction Risks in Early Drug Design

Pawar, S.S.; Rhee, J.S., 2016:
Modeling Our Way to Better Outcomes

Katerndahl, D.A.; Burge, S.K.; Ferrer, R.L.; Wood, R.; Becho, J., 2015:
Modeling Outcomes of Partner Violence Using Cusp Catastrophe Modeling

Bowen, R.S.; Jensen, R.L.; Ryan, J.M.; Watts, P.B., 2009:
Modeling Oxygen Uptake during V1 Treadmill Roller Skiing

Cole, J.M.; Cheng, X.; Payne, M.C., 2016:
Modeling Pair Distribution Functions of Rare-Earth Phosphate Glasses Using Principal Component Analysis

Kucinski, A.; Sarter, M., 2015:
Modeling Parkinson's disease falls associated with brainstem cholinergic systems decline

Yun, J-Won.; Ahn, J-Bum.; Kang, B-Cheol., 2016:
Modeling Parkinson's disease in the common marmoset (Callithrix jacchus): overview of models, methods, and animal care

Berisha, V.; Liss, J.; Sandoval, S.; Utianski, R.; Spanias, A., 2014:
Modeling Pathological Speech Perception From Data With Similarity Labels

Genet, M.; Lee, L.C.; Baillargeon, B.; Guccione, J.M.; Kuhl, E., 2016:
Modeling Pathologies of Diastolic and Systolic Heart Failure

Dawadi, P.N.; Cook, D.J.; Schmitter-Edgecombe, M., 2016:
Modeling Patterns of Activities using Activity Curves

Pareja, J.C.Munoz.; Keeley, K.; Duhaime, A-Christine.; Dodge, C.P., 2018:
Modeling Pediatric Brain Trauma: Piglet Model of Controlled Cortical Impact

Graves, R.S.; Mahnken, J.D.; Perea, R.D.; Billinger, S.A.; Vidoni, E.D., 2016:
Modeling Percentile Rank of Cardiorespiratory Fitness Across the Lifespan

Iredahl, F.; Sadda, V.; Ward, L.J.; Hackethal, J.; Farnebo, S.; Tesselaar, E.; Sjöberg, F., 2016:
Modeling Perfusion Dynamics in the Skin During Iontophoresis of Vasoactive Drugs Using Single-Pulse and Multiple-Pulse Protocols

Fu, P.; Zhu, A.; Fang, Q.; Wang, X., 2016:
Modeling Periodic Impulsive Effects on Online TV Series Diffusion

Urbano, M.Fabrizio.; Auricchio, F., 2015:
Modeling Permanent Deformations of Superelastic and Shape Memory Materials

Bois, F.Y.; Brochot, Céline., 2017:
Modeling Pharmacokinetics

Ehler, M.; Dobrosotskaya, J.; Cunningham, D.; Wong, W.T.; Chew, E.Y.; Czaja, W.; Bonner, R.F., 2016:
Modeling Photo-Bleaching Kinetics to Create High Resolution Maps of Rod Rhodopsin in the Human Retina

Zhu, D.Alan.; Zografi, G.; Gao, P.; Gong, Y.; Zhang, G.G.Z., 2017:
Modeling Physical Stability of Amorphous Solids Based on Temperature and Moisture Stresses

Schiavon, M.; Dalla Man, C.; Dube, S.; Slama, M.; Kudva, Y.C.; Peyser, T.; Basu, A.; Basu, R.; Cobelli, C., 2016:
Modeling Plasma-to-Interstitium Glucose Kinetics from Multitracer Plasma and Microdialysis Data

Beran, G.J.O., 2017:
Modeling Polymorphic Molecular Crystals with Electronic Structure Theory

Peragovics, A.; Simon, Z.; Malnasi-Csizmadia, A.; Bender, A., 2016:
Modeling Polypharmacological Profiles by Affinity Fingerprinting

Royce, S.G.; Mukherjee, D.; Cai, T.; Xu, S.S.; Alexander, J.A.; Mi, Z.; Calderon, L.; Mainelis, G.; Lee, K.; Lioy, P.J.; Tetley, T.D.; Chung, K.Fan.; Zhang, J.; Georgopoulos, P.G., 2015:
Modeling Population Exposures to Silver Nanoparticles Present in Consumer Products

Pavlova, V.; Grimm, V.; Dietz, R.; Sonne, C.; Vorkamp, K.; Rigét, F.F.; Letcher, R.J.; Gustavson, K.; Desforges, J-Pierre.; Nabe-Nielsen, J., 2016:
Modeling Population-Level Consequences of Polychlorinated Biphenyl Exposure in East Greenland Polar Bears

Telesca, D.; Müller, P.; Kornblau, S.M.; Suchard, M.A.; Ji, Y., 2011:
Modeling Protein Expression and Protein Signaling Pathways

Li, H.; Sun, L.; Luo, S.; Xia, X.; Lyu, Q., 2015:
Modeling Protein Loop Structure by Cyclic Coordinate Descent-based Approach

Versace, R.E.; Lazaridis, T., 2016:
Modeling Protein-Micelle Systems in Implicit Water

Basdevant, N.; Borgis, D.; Ha-Duong, T., 2013:
Modeling Protein-Protein Recognition in Solution Using the Coarse-Grained Force Field SCORPION

Lolas, G.; Jensen, L.; Bourantas, G.C.; Tsikourkitoudi, V.; Syrigos, K., 2017:
Modeling Proteolytically Driven Tumor Lymphangiogenesis

Lee, M-Tsung.; Vishnyakov, A.; Neimark, A.V., 2015:
Modeling Proton Dissociation and Transfer Using Dissipative Particle Dynamics Simulation

Fermann, J.T.; Moniz, T.; Kiowski, O.; McIntire, T.J.; Auerbach, S.M.; Vreven, T.; Frisch, M.J., 2005:
Modeling Proton Transfer in Zeolites:  Convergence Behavior of Embedded and Constrained Cluster Calculations

Robertson, C.Lee.; Savik, K.; Mathiason-Moore, M.; Mohamed, A.; Hoffman, S., 2018:
Modeling Psychological Functioning in Refugees

Ferencz-Kaddari, M.; Shifman, A.; Koslowsky, M., 2017:
Modeling Psychologists' Ethical Intention: Application of an Expanded Theory of Planned Behavior

Strobel, B.; Duechs, M.J.; Schmid, R.; Stierstorfer, B.E.; Bucher, H.; Quast, K.; Stiller, D.; Hildebrandt, T.; Mennerich, D.; Gantner, F.; Erb, K.J.; Kreuz, S., 2015:
Modeling Pulmonary Disease Pathways Using Recombinant Adeno-Associated Virus 6.2

Reise, S.P.; Gomel, J.N., 1995:
Modeling Qualitative Variation Within Latent Trait Dimensions: Application of Mixed-Measurement to Personality Assessment

Hernández-Porras, I.; Guerra, C., 2018:
Modeling RASopathies with Genetically Modified Mouse Models

Bhandari, Y.R.; Jiang, W.; Stahlberg, E.A.; Stagno, J.R.; Wang, Y-Xing., 2018:
Modeling RNA topological structures using small angle X-ray scattering

Galam, S.; Javarone, M.Alberto., 2017:
Modeling Radicalization Phenomena in Heterogeneous Populations

Chakrabarti, A.; Xiong, Y.; Sun, B.; Darrell, T.; Scharstein, D.; Zickler, T.; Saenko, K., 2015:
Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images

Harczuk, I.; Vahtras, O.; Ågren, H., 2016:
Modeling Rayleigh Scattering of Aerosol Particles

Hughes, T.B.; Dang, N.Le.; Miller, G.P.; Swamidass, S.Joshua., 2016:
Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network

McClanahan, T.R.; Maina, J.M.; Graham, N.A.J.; Jones, K.R., 2017:
Modeling Reef Fish Biomass, Recovery Potential, and Management Priorities in the Western Indian Ocean

Lv, D.; Fan, M.; Kang, Y.; Blanco, K., 2017:
Modeling Refuge Effect of Submerged Macrophytes in Lake System

Ratcliff, R.; Smith, P.L.; McKoon, G., 2016:
Modeling Regularities in Response Time and Accuracy Data with the Diffusion Model

Johnson, T.L.; Landguth, E.L.; Stone, E.F., 2016:
Modeling Relapsing Disease Dynamics in a Host-Vector Community

Strauss, S.M.; Rindskopf, D.M.; Falkin, G.P., 2001:
Modeling Relationships Between Two Categorical Variables When Data Are Missing: Examining Consequences of the Missing Data Mechanism in an HIV Data Set

Chatterjee, P.; Hansteen, V.; Carlsson, M., 2016:
Modeling Repeatedly Flaring δ Sunspots

Stäubert, S.; Weber, U.; Michalik, C.; Dress, J.; Ngouongo, S.; Stausberg, Jürgen.; Winter, A., 2017:
Modeling Requirements for Cohort and Register IT

Guan, P.; Zhuang, J., 2015 :
Modeling Resources Allocation in Attacker-Defender Games with "Warm Up" CSF

Hannam, J.A.; Borrat, X.; Trocóniz, Iñaki.F.; Valencia, Jé.F.; Jensen, E.W.; Pedroso, A.; Muñoz, J.; Castellví-Bel, S.; Castells, A.; Gambús, P.L., 2016:
Modeling Respiratory Depression Induced by Remifentanil and Propofol during Sedation and Analgesia Using a Continuous Noninvasive Measurement of pCO2

Andoh-Noda, T.; Inouye, M.O.; Miyake, K.; Kubota, T.; Okano, H.; Akamatsu, W., 2017:
Modeling Rett Syndrome Using Human Induced Pluripotent Stem Cells

Wu, L.S.; Jimmerson, L.C.; MacBrayne, C.E.; Kiser, J.J.; D'Argenio, D.Z., 2016:
Modeling Ribavirin-Induced Anemia in Patients with Chronic Hepatitis C Virus

Foster, K.J.; Miklavcic, S.J., 2016:
Modeling Root Zone Effects on Preferred Pathways for the Passive Transport of Ions and Water in Plant Roots

Inoue, D.; Abdel-Wahab, O., 2017:
Modeling SF3B1 Mutations in Cancer: Advances, Challenges, and Opportunities

Allen, P.B.; Chen, X.; Simpson, Z.B.; Ellington, A.D., 2014:
Modeling Scalable Pattern Generation in DNA Reaction Networks

Chadsuthi, S.; Iamsirithaworn, S.; Triampo, W.; Modchang, C., 2016:
Modeling Seasonal Influenza Transmission and Its Association with Climate Factors in Thailand Using Time-Series and ARIMAX Analyses

Trnka, R.; Lačev, A.; Balcar, K.; Kuška, M.; Tavel, P., 2016:
Modeling Semantic Emotion Space Using a 3D Hypercube-Projection: An Innovative Analytical Approach for the Psychology of Emotions

Yuan, K.; Xiao, F.; Fei, L.; Kang, B.; Deng, Y., 2016:
Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory

Mitchell, J.C.; MacLeod, B.P.; Cassisi, J.E., 2016:
Modeling Sexual Assault Risk Perception Among Heterosexual College Females: The Impact of Previous Victimization, Alcohol Use, and Coping Style

Jiang, B.; Wang, N.; Sammel, M.D.; Elliott, M.R., 2015:
Modeling Short- and Long-Term Characteristics of Follicle Stimulating Hormone as Predictors of Severe Hot Flashes in Penn Ovarian Aging Study

Saez-Rodriguez, J.; MacNamara, A.; Cook, S., 2016:
Modeling Signaling Networks to Advance New Cancer Therapies

Yesselman, J.D.; Das, R., 2018:
Modeling Small Noncanonical RNA Motifs with the Rosetta FARFAR Server

Wang, H.; Northridge, M.E.; Kunzel, C.; Zhang, Q.; Kum, S.S.; Gilbert, J.L.; Jin, Z.; Metcalf, S.S., 2016:
Modeling Social Capital as Dynamic Networks to Promote Access to Oral Healthcare

Handcock, M.S.; Gile, K.J., 2010:
Modeling Social Networks from Sampled Data

Rausch, M.K.; Karniadakis, G.E.; Humphrey, J.D., 2016:
Modeling Soft Tissue Damage and Failure Using a Combined Particle/Continuum Approach

Dalsgaard, L.; Astrup, R.; Antón-Fernández, C.; Borgen, S.Kynding.; Breidenbach, J.; Lange, H.; Lehtonen, A.; Liski, J., 2016:
Modeling Soil Carbon Dynamics in Northern Forests: Effects of Spatial and Temporal Aggregation of Climatic Input Data

Peng, Y.; Xiong, X.; Adhikari, K.; Knadel, M.; Grunwald, S.; Greve, M.Humlekrog., 2016:
Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra

Sun, Y-jun.; Zheng, X-po.; Qin, Q-ming.; Meng, Q-ye.; Gao, Z-ling.; Ren, H-zhong.; Wu, L.; Wang, J.; Wang, J-hua., 2015:
Modeling Soil Spectral Reflectance with Different Mass Moisture Content

Cerezo, J.; Avila Ferrer, F.J.; Prampolini, G.; Santoro, F., 2016:
Modeling Solvent Broadening on the Vibronic Spectra of a Series of Coumarin Dyes. From Implicit to Explicit Solvent Models

Samson, C.C.; Rajagopalan, B.; Summers, R.Scott., 2016:
Modeling Source Water TOC Using Hydroclimate Variables and Local Polynomial Regression

DeChenne, S.Ellen.; Koziol, N.; Needham, M.; Enochs, L., 2016:
Modeling Sources of Teaching Self-Efficacy for Science, Technology, Engineering, and Mathematics Graduate Teaching Assistants

Ertekin, C.; Evrendilek, F.; Kulcu, R., 2008:
Modeling Spatio-Temporal Dynamics of Optimum Tilt Angles for Solar Collectors in Turkey

Benzekry, S.; Tracz, A.; Mastri, M.; Corbelli, R.; Barbolosi, D.; Ebos, J.M.L., 2016:
Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach

Lovati, A.Barbara.; Romanò, C.Luca.; Bottagisio, M.; Monti, L.; De Vecchi, E.; Previdi, S.; Accetta, R.; Drago, L., 2016:
Modeling Staphylococcus epidermidis-Induced Non-Unions: Subclinical and Clinical Evidence in Rats

Gagliardi, A.; Feldman, N.H.; Lidz, J., 2016:
Modeling Statistical Insensitivity: Sources of Suboptimal Behavior

Santoro, M.; Menegaz, B.A.; Lamhamedi-Cherradi, S-Eddine.; Molina, E.R.; Wu, D.; Priebe, W.; Ludwig, J.A.; Mikos, A.G., 2016:
Modeling Stroma-Induced Drug Resistance in a Tissue-Engineered Tumor Model of Ewing Sarcoma

Takada, S.; Kanada, R.; Tan, C.; Terakawa, T.; Li, W.; Kenzaki, H., 2016:
Modeling Structural Dynamics of Biomolecular Complexes by Coarse-Grained Molecular Simulations

Zhang, L.; Zhu, B.; Gao, J-hui.; Kang, H-qing.; Yang, P.; Wang, H-lei.; Li, Y-e.; Shao, P., 2016:
Modeling Study of A Typical Summer Ozone Pollution Event over Yangtze River Delta

Rogers, J.; Marianno, C.; Kallenbach, G.; Trevino, J., 2017:
Modeling Study of a Proposed Field Calibration Source Using K-40 and High-Z Targets for Sodium Iodide Detectors

Hanson, S.M.; Sansom, M.S.P.; Becker, E.B.E., 2015:
Modeling Suggests TRPC3 Hydrogen Bonding and Not Phosphorylation Contributes to the Ataxia Phenotype of the Moonwalker Mouse

Padmanabhan, P.; Dixit, N.M., 2015:
Modeling Suggests a Mechanism of Synergy Between Hepatitis C Virus Entry Inhibitors and Drugs of Other Classes

Vollertsen, J.; Revilla, N.; Hvitved-Jacobsen, T.; Nielsen, Aørn.Haaning., 2016:
Modeling Sulfides, pH and Hydrogen Sulfide Gas in the Sewers of San Francisco

Allen, T.; Prosperi, P., 2016:
Modeling Sustainable Food Systems

Atalar, E.Gülcan.; Uzbay, T.; Karakaş, S., 2016:
Modeling Symptoms of Attention-Deficit Hyperactivity Disorder in a Rat Model of Fetal Alcohol Syndrome

Crewe, T.L.; Taylor, P.D.; Lepage, D., 2016:
Modeling Systematic Change in Stopover Duration Does Not Improve Bias in Trends Estimated from Migration Counts

Barta, R.; Kalantari, S.; Laule, C.; Vavasour, I.M.; MacKay, A.L.; Michal, C.A., 2016:
Modeling T(1) and T(2) relaxation in bovine white matter

Bayram, S., 2015:
Modeling TGF-mediated flow dynamics in a system of three coupled nephrons

Triesch, J.; Zrenner, C.; Ziemann, U., 2016:
Modeling TMS-induced I-waves in human motor cortex

Biswas, A.N.; Puri, M.; Meier, K.K.; Oloo, W.N.; Rohde, G.T.; Bominaar, E.L.; Münck, E.; Que, L., 2016:
Modeling TauD-J: a high-spin nonheme oxoiron(IV) complex with high reactivity toward C-H bonds

González-Sales, M.; Barrière, O.; Tremblay, P-Olivier.; Nekka, F.; Desrochers, J.; Tanguay, M., 2016:
Modeling Testosterone Circadian Rhythm in Hypogonadal Males: Effect of Age and Circannual Variations

Evans, R.; Martin, K.H.; Moses, B.S.; Slone, W.L.; Hare, I.; Piktel, D.; Thomas, P.; Gibson, L.F., 2016:
Modeling The Bone Marrow Microenvironment's Influence on Leukemic Disease

Stuntz, M., 2015:
Modeling The Burden of Abdominal Aortic Aneurysm (Aaa) In Europe In 2013

Lu, Y.J.; Xu, G.X.; Lu, W.Q.; Liu, Z.; Rl, S.; Xuan, J., 2015:
Modeling The Cost-Effectiveness of Ilaprazole Vs. Omeprazole for The Treatment of Newly Diagnosed Duodenal Ulcer Patients In China

McEwan, P.; Ward, T.; Webster, S.; Kalsekar, A.; Brenner, M.; Yuan, Y., 2015:
Modeling The Cost-Effectiveness of The All Oral, Direct-Acting Antiviral Regimen Daclatasvir Plus Sofosbuvir In Patients Co-Infected With Hepatitis C Virus (Hcv) And Hiv

Ozawa, S.; Portnoy, A.; Getaneh, H.; Clark, S.; Knoll, M.; Bishai, D.; Yang, H.Keri.; Patwardhan, P.D., 2016 :
Modeling The Economic Burden Of Adult Vaccine-Preventable Diseases In The United States

Kim, Y.A.; Virdhi, N.; Raja, P.; DiCarlo, L., 2014:
Modeling The Impact Of A Digital Health Feedback System In Uncontrolled Hypertensive Patients

Iorio, A.; Krishnan, S.; Myrén, K.; Lethagen, S.; McCormick, N.; Karner, P., 2015:
Modeling The Impact of Potential Differences In Real-Wolrd Adherence With Extended-Half-Life Vs. Conventional Factor Viii And Ix on Bleeding

Hernandez, L.; Guo, S.; Altincatal, A.; Naoshy, S.; Watson, C., 2015:
Modeling The Natural History of Secondary-Progressive Multiple Sclerosis: A New Modeling Approach Using Discrete Event Simulation

Flynn, K.J.; Clark, D.R.; Xue, Y., 2008:
Modeling the Release of Dissolved Organic Matter by Phytoplankton(1)

Long, T.J.; Cosgrove, P.A.; Dunn, R.T.; Stolz, D.B.; Hamadeh, H.; Afshari, C.; McBride, H.; Griffith, L.G., 2016:
Modeling Therapeutic Antibody-Small Molecule Drug-Drug Interactions Using a Three-Dimensional Perfusable Human Liver Coculture Platform

Grüner, B.M.; Winkelmann, I.; Feuchtinger, A.; Sun, N.; Balluff, B.; Teichmann, N.; Herner, A.; Kalideris, E.; Steiger, K.; Braren, R.; Aichler, M.; Esposito, I.; Schmid, R.M.; Walch, A.; Siveke, J.T., 2017:
Modeling Therapy Response and Spatial Tissue Distribution of Erlotinib in Pancreatic Cancer

Lozano, G.; Fernandez, N.; Martinez-Salas, E., 2016:
Modeling Three-Dimensional Structural Motifs of Viral IRES

Diez-Gómez, V.; Arbi, K.; Sanz, Jús., 2016:
Modeling Ti/Ge Distribution in LiTi2-xGex(PO4)3 NASICON Series by (31)P MAS NMR and First-Principles DFT Calculations

Li, S.; Erickson, R.J.; Wallis, L.K.; Diamond, S.A.; Hoff, D.J., 2016:
Modeling TiO₂ nanoparticle phototoxicity: The importance of chemical concentration, ultraviolet radiation intensity, and time

Moses, W.W.; Choong, W-S.; Derenzo, S.E., 2015:
Modeling time Dispersion Due to Optical Path Length Differences in Scintillation Detectors

Purnell, C.A.; Gart, M.S.; Tepole, A.B.; Topczewska, J.M.; Kuhl, E.; Gosain, A.K., 2015:
Modeling Tissue Expansion with Isogeometric Analysis: Distinguishing True Skin Growth from Elastic Skin Stretch

Facchinetti, A.; Del Favero, S.; Sparacino, G.; Cobelli, C., 2016:
Modeling Transient Disconnections and Compression Artifacts of Continuous Glucose Sensors

Seth, M.; Ziegler, T.; Steinmetz, M.; Grimme, S., 2013:
Modeling Transition Metal Reactions with Range-Separated Functionals

Zheng, Y.; Pan, F.; Sorensen, S., 2015:
Modeling Treatment Sequences In Health Technology Assessments

Zheng, Y.; Pan, F.; Sorensen, S., 2016:
Modeling Treatment Sequences in Pharmacoeconomic Models

Napoli, M.; Massetti, L.; Brandani, G.; Petralli, M.; Orlandini, S., 2018:
Modeling Tree Shade Effect on Urban Ground Surface Temperature

Zhi, S.; Zhao, B.; Tong, W.; Gao, J.; Yu, D.; Ji, H.; Han, J., 2015:
Modeling Truth Existence in Truth Discovery

Wenger, C.; Giladi, M.; Bomzon, Z'ev.; Salvador, R.; Basser, P.J.; Miranda, P.C., 2016:
Modeling Tumor Treating Fields (TTFields) application in single cells during metaphase and telophase

Wenger, C.; Salvador, R.; Basser, P.J.; Miranda, P.C., 2016:
Modeling Tumor Treating fields (TTFields) application within a realistic human head model

Kieras, D.E.; Wakefield, G.H.; Thompson, E.R.; Iyer, N.; Simpson, B.D., 2016:
Modeling Two-Channel Speech Processing With the EPIC Cognitive Architecture

Rutter, G.A., 2016:
Modeling Type 2 Diabetes GWAS Candidate Gene Function in hESCs

Wu, Y.; Boyle, L.Ng.; McGehee, D.; Roe, C.A.; Ebe, K.; Foley, J., 2016:
Modeling Types of Pedal Applications Using a Driving Simulator

Ghosh, D.; Mukherjee, R., 1999:
Modeling Tyrosinase Monooxygenase Activity. Spectroscopic and Magnetic Investigations of Products Due to Reactions between Copper(I) Complexes of Xylyl-Based Dinucleating Ligands and Dioxygen: Aromatic Ring Hydroxylations and Irreversible Oxidation Products

Milton, B.; Farrell, P.J.; Birkett, N.; Krewski, D., 2016:
Modeling U-Shaped Exposure-Response Relationships for Agents that Demonstrate Toxicity Due to Both Excess and Deficiency

Milton, B.; Krewski, D.; Mattison, D.R.; Karyakina, N.A.; Ramoju, S.; Shilnikova, N.; Birkett, N.; Farrell, P.J.; McGough, D., 2016:
Modeling U-shaped dose-response curves for manganese using categorical regression

Warner, J.H.; Sampaio, C., 2017:
Modeling Variability in the Progression of Huntington's Disease A Novel Modeling Approach Applied to Structural Imaging Markers from TRACK-HD

Graham, J.B.; Jew, C.J.; Wegner, N.C., 2017:
Modeling Variable Phanerozoic Oxygen Effects on Physiology and Evolution

Masías, Víctor.Hugo.; Valle, M.; Morselli, C.; Crespo, F.; Vargas, A.; Laengle, S., 2016:
Modeling Verdict Outcomes Using Social Network Measures: The Watergate and Caviar Network Cases

Fang, B.; Wang, T.; Chen, X.; Jin, T.; Zhang, R.; Zhuang, W., 2016:
Modeling Vibrational Spectra of Ester Carbonyl Stretch in Water and DMSO Based on Molecular Dynamics Simulation

Hagan, M.F., 2015:
Modeling Viral Capsid Assembly

Trevisan, M.; Sinigaglia, A.; Desole, G.; Berto, A.; Pacenti, M.; Palù, G.; Barzon, L., 2016:
Modeling Viral Infectious Diseases and Development of Antiviral Therapies Using Human Induced Pluripotent Stem Cell-Derived Systems

Graw, F.; Perelson, A.S., 2016:
Modeling Viral Spread

Schmitz-Valckenberg, S.; Nadal, J.; Fimmers, R.; Lindner, M.; Holz, F.G.; Schmid, M.; Fleckenstein, M., 2017:
Modeling Visual Acuity in Geographic Atrophy Secondary to Age-Related Macular Degeneration

König, S.D.; Buffalo, E.A., 2016:
Modeling Visual Exploration in Rhesus Macaques with Bottom-Up Salience and Oculomotor Statistics

Zagorecki, A.; Łupińska-Dubicka, A.; Voortman, M.; Druzdzel, M.J., 2016:
Modeling Women's Menstrual Cycles using PICI Gates in Bayesian Network

Hudjetz, S.; Lennartz, G.; Krämer, K.; Roß-Nickoll, M.; Gergs, Aé.; Preuss, T.G., 2014:
Modeling Wood Encroachment in Abandoned Grasslands in the Eifel National Park - Model Description and Testing

Winham, S.J.; Jenkins, G.D.; Biernacka, J.M., 2016:
Modeling X Chromosome Data Using Random Forests: Conquering Sex Bias

Zheng, C., 2016:
Modeling X-linked ancestral origins in multiparental populations

Monje-Galvan, V.; Klauda, J.B., 2016:
Modeling Yeast Organelle Membranes and How Lipid Diversity Influences Bilayer Properties

Rossi, S.L.; Vasilakis, N., 2017:
Modeling Zika Virus Infection in Mice

Mysorekar, I.U.; Diamond, M.S., 2016:
Modeling Zika Virus Infection in Pregnancy

Abbaspour, N.; Amini, M.; Hurrell, R.; Schulin, R., 2015:
Modeling Zinc Intake for Intervention and Scenario Analysis

Chefer, S.; Thomasson, D.; Seidel, J.; Reba, R.C.; Bohannon, J.Kyle.; Lackemeyer, M.G.; Bartos, C.; Sayre, P.J.; Bollinger, L.; Hensley, L.E.; Jahrling, P.B.; Johnson, R.F., 2015:
Modeling [(18)F]-FDG lymphoid tissue kinetics to characterize nonhuman primate immune response to Middle East respiratory syndrome-coronavirus aerosol challenge

Cox, D.H., 2016:
Modeling a Ca(2+) channel/BKCa channel complex at the single-complex level

Son, R.S.; Gowrishankar, T.R.; Smith, K.C.; Weaver, J.C., 2017:
Modeling a Conventional Electroporation Pulse Train: Decreased Pore Number, Cumulative Calcium Transport and an Example of Electrosensitization

Lee, Y-Li.; Chang, P., 2018:
Modeling a Mobile Health Management Business Model for Chronic Kidney Disease

Choi, J.; Jansen, K.; Coenen, A., 2017:
Modeling a Nursing Guideline with Standard Terminology and Unified Modeling Language for a Nursing Decision Support System: A Case Study

Huedo-Medina, T.B.; Shrestha, R.; Copenhaver, M., 2017:
Modeling a Theory-Based Approach to Examine the Influence of Neurocognitive Impairment on HIV Risk Reduction Behaviors Among Drug Users in Treatment

Villalobos, J.; Muñoz, Víctor.; Rogan, Jé.; Zarama, R.; Penagos, J.Felipe.; Toledo, Bín.; Valdivia, J.Alejandro., 2015:
Modeling a bus through a sequence of traffic lights

Ávila-Schwerter, C.; Torres-Andrade, M.C.; Méndez, C.A.; Márquez-Manzano, M., 2018:
Modeling a clinical process for differentiated thyroid cancer health care in Hospital Base Valdivia, Chile

Fu, R.; Gutfraind, A.; Brandeau, M.L., 2017:
Modeling a dynamic bi-layer contact network of injection drug users and the spread of blood-borne infections

Jones, L.; Whitaker, B.J., 2016:
Modeling a halogen dance reaction mechanism: A density functional theory study

Heinke, S.; Pereira, C.; Leonhardt, S.; Walter, M., 2016:
Modeling a healthy and a person with heart failure conditions using the object-oriented modeling environment Dymola

Tao, J.; Xu, E.; Zhao, Y.; Singh, S.; Li, X.; Couchy, G.; Chen, X.; Zucman-Rossi, J.; Chikina, M.; Monga, S.P.S., 2016:
Modeling a human hepatocellular carcinoma subset in mice through coexpression of met and point-mutant β-catenin

Rocca-Serra, P.; Walls, R.; Parnell, J.; Gallery, R.; Zheng, J.; Sansone, S-Assunta.; Gonzalez-Beltran, A., 2015:
Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach

Meechan, D.W.; Maynard, T.M.; Tucker, E.S.; Fernandez, A.; Karpinski, B.A.; Rothblat, L.A.; LaMantia, A-S., 2016:
Modeling a model: Mouse genetics, 22q11.2 Deletion Syndrome, and disorders of cortical circuit development

Theers, M.; Westphal, E.; Gompper, G.; Winkler, R.G., 2016:
Modeling a spheroidal microswimmer and cooperative swimming in a narrow slit

Johnstone, C.D.; LaFontaine, R.; Poirier, Y.; Tambasco, M., 2016:
Modeling a superficial radiotherapy X-ray source for relative dose calculations

Aoki, K., 2014:
Modeling abrupt cultural regime shifts during the Palaeolithic and Stone Age

Moser, Aé.; Clough-Gorr, K.; Zwahlen, M., 2015:
Modeling absolute differences in life expectancy with a censored skew-normal regression approach

Voitsekhovskaya, O.K.; Kashirskii, D.E.; Egorov, O.V.; Shefer, O.V., 2016:
Modeling absorption spectra for detection of the combustion products of jet engines by laser remote sensing

Weiss, M., 2015:
Modeling accelerated and decelerated drug release in terms of fractional release rate

Valparaiso, A.P.; Vicente, D.A.; Bograd, B.A.; Elster, E.A.; Davis, T.A., 2015:
Modeling acute traumatic injury

Luo, J.; Kurt, Z.; Hou, D.; Spain, J.C., 2015:
Modeling aerobic biodegradation in the capillary fringe

Danos, N.; Holt, N.C.; Sawicki, G.S.; Azizi, E., 2016 :
Modeling age-related changes in muscle-tendon dynamics during cyclical contractions in the rat gastrocnemius

Shen, X-Rong.; Feng, R.; Chai, J.; Cheng, J.; Wang, D-Bin., 2015:
Modeling age-specific cancer incidences using logistic growth equations: implications for data collection

Markus, A.A.; Parsons, J.R.; Roex, E.W.M.; de Voogt, P.; Laane, R.W.P.M., 2015:
Modeling aggregation and sedimentation of nanoparticles in the aquatic environment

Vanbelle, S.; Lesaffre, E., 2016:
Modeling agreement on categorical scales in the presence of random scorers

Masseran, N.; Razali, A.Mahir.; Ibrahim, K.; Latif, M.Talib., 2016:
Modeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto model

Frank-Ito, D.O.; Sajisevi, M.; Solares, C.Arturo.; Jang, D.W., 2016:
Modeling alterations in sinonasal physiology after skull base surgery

Brauer, P.M.; Pessach, I.M.; Clarke, E.; Rowe, J.H.; Ott de Bruin, L.; Lee, Y.Nee.; Dominguez-Brauer, C.; Comeau, A.M.; Awong, G.; Felgentreff, K.; Zhang, Y.H.; Bredemeyer, A.; Al-Herz, W.; Du, L.; Ververs, F.; Kennedy, M.; Giliani, S.; Keller, G.; Sleckman, B.P.; Schatz, D.G.; Bushman, F.D.; Notarangelo, L.D.; Zúñiga-Pflücker, J.Carlos., 2017:
Modeling altered T-cell development with induced pluripotent stem cells from patients with RAG1-dependent immune deficiencies

Toribio, Mía.L., 2018:
Modeling altered human T-cell development

Saffarian, A.; Giraud, M.; Touzet, Hélène., 2015:
Modeling alternate RNA structures in genomic sequences

Goodwin, M.L.; Jin, H.; Straessler, K.; Smith-Fry, K.; Zhu, J-Fen.; Monument, M.J.; Grossmann, A.; Randall, R.Lor.; Capecchi, M.R.; Jones, K.B., 2015:
Modeling alveolar soft part sarcomagenesis in the mouse: a role for lactate in the tumor microenvironment

Toli, D.; Buttigieg, Dée.; Blanchard, Séphane.; Lemonnier, T.; Lamotte d'Incamps, B.; Bellouze, S.; Baillat, G.; Bohl, D.; Haase, G., 2016:
Modeling amyotrophic lateral sclerosis in pure human iPSc-derived motor neurons isolated by a novel FACS double selection technique

Platt, B.J.; Clark, J.A., 2016:
Modeling an Inflammation-Related Depressive Phenotype in Mice Using Bacille Calmette-Guérin

Feng, S.Fei.; Jaing, C.; Thissen, J.B.; Wang, C.; Duncan, P., 2018:
Modeling an approach to define sensitivity of viral detection in sample matrices-examples with microarray readout

Sgourakis, N.G.; Yau, W-Ming.; Qiang, W., 2015:
Modeling an in-register, parallel "iowa" aβ fibril structure using solid-state NMR data from labeled samples with rosetta

Jani, D.D.; Reed, D.; Feigley, C.E.; Svendsen, E.R., 2016:
Modeling an irritant gas plume for epidemiologic study

Takeda, Y.; Shimayoshi, T.; Holz, G.G.; Noma, A., 2016:
Modeling analysis of inositol 1,4,5-trisphosphate receptor-mediated Ca2+ mobilization under the control of glucagon-like peptide-1 in mouse pancreatic β-cells

Papageorgopoulou, C.; Shved, N.; Wanek, J.; Rühli, F.J., 2016:
Modeling ancient Egyptian mummification on fresh human tissue: macroscopic and histological aspects

Giraldo, L.Felipe.; Passino, K.M.; Clapp, J.D., 2016:
Modeling and Analysis of Group Dynamics in Alcohol-Consumption Environments

Krueger, E.; Shim, J.; Fathizadeh, A.; Chang, A.Nicole.; Subei, B.; Yocham, K.M.; Davis, P.H.; Graugnard, E.; Khalili-Araghi, F.; Bashir, R.; Estrada, D.; Fologea, D., 2018:
Modeling and Analysis of Intercalant Effects on Circular DNA Conformation

Liu, X.; Zhao, H.; Yao, Y.; He, F., 2016:
Modeling and Analysis of Micro-Spacecraft Attitude Sensing with Gyrowheel

Huang, J.; Wang, Z.; Gao, J.; Yu, B., 2016:
Modeling and Analysis of Phase Fluctuation in a High-Precision Roll Angle Measurement Based on a Heterodyne Interferometer

Duan, X.; Yang, Y.; Cheng, B., 2016:
Modeling and Analysis of a 2-DOF Spherical Parallel Manipulator

Lin, C-Yu.; Shau, Y-Wha.; Wang, C-Li.; Kang, J-Horng., 2016:
Modeling and Analysis of the Viscoelastic Response of the Ankle Ligament Complex in Inversion Ankle Sprain

Zhang, T.; Wang, K.; Zhang, X., 2016:
Modeling and Analyzing the Transmission Dynamics of HBV Epidemic in Xinjiang, China

Chen, J.Lin.; Steele, T.W.J.; Stuckey, D.C., 2016:
Modeling and Application of a Rapid Fluorescence-Based Assay for Biotoxicity in Anaerobic Digestion

Chen, J.; Wang, J.; Zhang, Y.; Yang, S.; Chen, Q.; Gong, X., 2016:
Modeling and Assessment of GPS/BDS Combined Precise Point Positioning

Westerwalbesloh, C.; Grünberger, A.; Stute, B.; Weber, S.; Wiechert, W.; Kohlheyer, D.; von Lieres, E., 2016:
Modeling and CFD simulation of nutrient distribution in picoliter bioreactors for bacterial growth studies on single-cell level

Breit, M.; Netzer, M.; Weinberger, K.M.; Baumgartner, C., 2016:
Modeling and Classification of Kinetic Patterns of Dynamic Metabolic Biomarkers in Physical Activity

Wolf, A.; Pezoa, J.E.; Figueroa, M., 2016:
Modeling and Compensating Temperature-Dependent Non-Uniformity Noise in IR Microbolometer Cameras

Giraud, F.; Sandulescu, P.; Amberg, M.; Lemaire-Semail, B.; Ionescu, F., 2011:
Modeling and Compensation of the Internal Friction Torque of a Travelling Wave Ultrasonic Motor

Chang, S.; Wang, X.; Wang, Z., 2016:
Modeling and Computation of Transboundary Industrial Pollution with Emission Permits Trading by Stochastic Differential Game

Song, L-Peng.; Wang, H-Yu., 2017:
Modeling and Control of Colorectal Cancer

Tian, L.; Bao, H.; Wang, M.; Duan, X., 2016:
Modeling and Control of the Redundant Parallel Adjustment Mechanism on a Deployable Antenna Panel

Jacobsen, M.M.; Walensky, R.P., 2016:
Modeling and Cost-Effectiveness in HIV Prevention

Maafi, M.; Maafi, W., 2016:
Modeling and Elucidation of the Kinetics of Multiple Consecutive Photoreactions AB 4 (4Φ) With Φ-order Kinetics. Application to the Photodegradation of Riboflavin

Chen, S.; You, Z., 2016:
Modeling and Experimental Analysis on the Temperature Response of AlN-Film Based SAWRs

Guo, X.; Merrikh-Bayat, F.; Gao, L.; Hoskins, B.D.; Alibart, F.; Linares-Barranco, B.; Theogarajan, L.; Teuscher, C.; Strukov, D.B., 2016 :
Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

Edwards, J.E.; LaCerte, C.; Peyret, T.; Gosselin, N.H.; Marier, J.F.; Hofmann, A.F.; Shapiro, D., 2016:
Modeling and Experimental Studies of Obeticholic Acid Exposure and the Impact of Cirrhosis Stage

Cho, H.Cheol., 2016:
Modeling and Genome-Editing Brugada Syndrome in a Dish

Dureau, M.; Alessandri, A.; Bagnerini, P.; Vincent, S., 2016:
Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices

Sreenivasa, M.; Ayusawa, K.; Nakamura, Y., 2017:
Modeling and Identification of a Realistic Spiking Neural Network and Musculoskeletal Model of the Human Arm, and an Application to the Stretch Reflex

Liang, W.; Cao, J.; Fan, Y.; Zhu, K.; Dai, Q., 2016:
Modeling and Implementation of Cattle/Beef Supply Chain Traceability Using a Distributed RFID-Based Framework in China

Luo, J.; Wang, Z.; Shen, C.; Kuijper, A.; Wen, Z.; Liu, S., 2016:
Modeling and Implementation of Multi-Position Non-Continuous Rotation Gyroscope North Finder

Thompson, K.M.; Cochi, S.L., 2017:
Modeling and Managing the Risks of Measles and Rubella: A Global Perspective, Part I

Shi, T.; Li, D.; Li, G.; Zhang, Y.; Xu, K.; Lu, L., 2017:
Modeling and Measurement of Correlation between Blood and Interstitial Glucose Changes

Kurt, M.; Laksari, K.; Kuo, C.; Grant, G.A.; Camarillo, D.B., 2016:
Modeling and Optimization of Airbag Helmets for Preventing Head Injuries in Bicycling

Liu, H.; Shao, Q.; Fang, X., 2016:
Modeling and Optimization of Class-E Amplifier at Subnominal Condition in a Wireless Power Transfer System for Biomedical Implants

Chang, Z.; Zhang, R.; Thibault, J-Baptiste.; Pal, D.; Fu, L.; Sauer, K.; Bouman, C., 2016:
Modeling and Pre-Treatment of Photon-Starved CT Data for Iterative Reconstruction

Sutherland, R.; Katz, T.; Liu, V.; Quintano, J.; Brunner, R.; Tong, C.Wei.; Collins, C.E.; Ooi, C.Y., 2018:
Dietary intake of energy-dense, nutrient-poor and nutrient-dense food sources in children with cystic fibrosis

Copetti, M.; Fontana, A.; Pellegrini, F., 2017:
Modeling and Prediction in Neurological Disorders: The Biostatistical Perspective

Wang, J.; Deng, Z., 2017:
Modeling and Prediction of Oyster Norovirus Outbreaks along Gulf of Mexico Coast

Baba, H.; Takahara, J-ichi.; Yamashita, F.; Hashida, M., 2016:
Modeling and Prediction of Solvent Effect on Human Skin Permeability using Support Vector Regression and Random Forest

Iman, M.; Khansefid, Z.; Davood, A., 2016:
Modeling and Proposed Molecular Mechanism of Hydroxyurea Through Docking and Molecular Dynamic Simulation to Curtail the Action of Ribonucleotide Reductase

Barnett, J.Matthew.; Yu, X-Ying.; Recknagle, K.P.; Glissmeyer, J.A., 2017:
Modeling and Qualification of a Modified Emission Unit for Radioactive Air Emissions Stack Sampling Compliance

Jang, C.Ho.; Piao, Y.Lan.; Huang, X.; Yoon, E.Jeong.; Park, S.Hee.; Lee, K.; Zhan, C-Guo.; Cho, H., 2017:
Modeling and Re-Engineering of Azotobacter vinelandii Alginate Lyase to Enhance Its Catalytic Efficiency for Accelerating Biofilm Degradation

Yin, H.; Han, B.; Li, D.; Wu, J.; Sun, H., 2017:
Modeling and Simulating Passenger Behavior for a Station Closure in a Rail Transit Network

de Haan, H.W., 2017:
Modeling and Simulating the Dynamics of Type IV Pili Extension of Pseudomonas aeruginosa

Collins, T.A.; Bergenholm, L.; Abdulla, T.; Yates, J.; Evans, N.; Chappell, M.J.; Mettetal, J.T., 2015:
Modeling and Simulation Approaches for Cardiovascular Function and Their Role in Safety Assessment

Olivier, B.G.; Swat, M.J.; Moné, M.J., 2016:
Modeling and Simulation Tools: From Systems Biology to Systems Medicine

Hirai, T.; Kimura, T.; Echizen, H., 2017:
Modeling and Simulation for Estimating the Influence of Renal Dysfunction on the Hypouricemic Effect of Febuxostat in Hyperuricemic Patients Due to Overproduction or Underexcretion of Uric Acid

Tsoumpas, C.; Gaitanis, A., 2013:
Modeling and Simulation of 4D PET-CT and PET-MR Images

Muniraj, M.; Arulmozhiyal, R., 2015:
Modeling and Simulation of Control Actuation System with Fuzzy-PID Logic Controlled Brushless Motor Drives for Missiles Glider Applications

Zohdi, T.I., 2016:
Modeling and Simulation of Coupled Cell Proliferation and Regulation in Heterogeneous Tissue

Lippert, Jörg.; Burghaus, R.; Kuepfer, L.; Ploeger, B.; Schaller, S.; Schmitt, W.; Willmann, S., 2016:
Modeling and Simulation of In Vivo Drug Effects

Vasquez, P.A.; Jin, Y.; Palmer, E.; Hill, D.; Forest, M.Gregory., 2017:
Modeling and Simulation of Mucus Flow in Human Bronchial Epithelial Cell Cultures - Part I: Idealized Axisymmetric Swirling Flow

Roni Sahroni, T., 2015:
Modeling and Simulation of Offshore Wind Power Platform for 5 MW Baseline NREL Turbine

Knies, D.; Wittmüß, P.; Appel, S.; Sawodny, O.; Ederer, M.; Feuer, R., 2015:
Modeling and Simulation of Optimal Resource Management during the Diurnal Cycle in Emiliania huxleyi by Genome-Scale Reconstruction and an Extended Flux Balance Analysis Approach

Honarmand, M.; Mousavi, S.M., 2015:
Modeling and Simulation of Road Traffic Noise Using Artificial Neural Network and Regression

Ling, J-jiang.; Li, G.; Zhang, R-bin.; Tang, Q.; Ye, Q., 2016:
Modeling and Simulation of Spectral Polarimetric BRDF

Perumal, M.; Dhandapani, S., 2015:
Modeling and Simulation of a Novel Relay Node Based Secure Routing Protocol Using Multiple Mobile Sink for Wireless Sensor Networks

Shahid, W.; Qiu, Z.; Duan, X.; Li, H.; Wang, T.D.; Oldham, K.R., 2014:
Modeling and Simulation of a Parametrically Resonant Micromirror With Duty-Cycled Excitation

Cocco, L.; Marchesi, M., 2016:
Modeling and Simulation of the Economics of Mining in the Bitcoin Market

Budha, N.R.; Leabman, M.; Jin, J.Y.; Wada, D.Russell.; Baruch, A.; Peng, K.; Tingley, W.G.; Davis, J.D., 2016:
Modeling and Simulation to Support Phase 2 Dose Selection for RG7652, a Fully Human Monoclonal Antibody Against Proprotein Convertase Subtilisin/Kexin Type 9

Zhang, X.; Bieberle-Hütter, A., 2017:
Modeling and Simulations in Photoelectrochemical Water Oxidation: From Single Level to Multiscale Modeling

Schweigmann, M.; Kirchhoff, F.; Koch, K.P., 2016:
Modeling and Simulations in Time Domain of a Stimulation Set-up for Cortical Applications

Si, X.A.; Xi, J., 2017:
Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Moeyaert, P.; Dumas, T.; Guillaumont, D.; Kvashnina, K.; Sorel, C.; Miguirditchian, M.; Moisy, P.; Dufrêche, J-François., 2016:
Modeling and Speciation Study of Uranium(VI) and Technetium(VII) Coextraction with DEHiBA

Liu, Y.; Magnus, B.E.; Thissen, D., 2017:
Modeling and Testing Differential Item Functioning in Unidimensional Binary Item Response Models with a Single Continuous Covariate: A Functional Data Analysis Approach

Montgomery, E.B., 2016:
Modeling and Theories of Pathophysiology and Physiology of the Basal Ganglia-Thalamic-Cortical System: Critical Analysis

Kumaraswamy, G.; Manoharan, V.N.; Singh, J.; Bachhar, N.; Kulkarni, S.; Bandyopadhyay, R.; Punnathanam, S.; Srivastav, A.; Roy Chowdhury, P.; Frenkel, D.; Kumar, G.V.Pavan.; Sridurai, V.; Dhabal, D.; Eiser, E.; Tripathy, M.; Edwards, A.; Prasad, B.L.V.; Basavaraj, M.G.; Yadav, H.Om.Sharanam.; Walker, L.; Kumar, S.; Chakravarty, C.; Shinde, V.; Bandyopadhyaya, R.; Jestin, J.; Laradji, M.; Kantorovich, S.; Kotov, N.; Gang, O.; Kumar, S.; Botet, R.; Kolli, H.Bindu.; Joshi, Y.M.; Sánchez, P.A., 2016:
Modeling and Theory: general discussion

Zwaans, B.M.M.; Chancellor, M.B.; Lamb, L.E., 2016:
Modeling and Treatment of Radiation Cystitis

Sun, Y.; Harley, S.J.; Glascoe, E.A., 2015:
Modeling and Uncertainty Quantification of Vapor Sorption and Diffusion in Heterogeneous Polymers

Stein, S.W.; Sheth, P.; Younis, U.S.; Mogalian, E.; Myrdal, P.B., 2016:
Modeling and Understanding Combination pMDI Formulations with Both Dissolved and Suspended Drugs

Walz, Y.; Wegmann, M.; Dech, S.; Vounatsou, P.; Poda, J-Noël.; N'Goran, Eézer.K.; Utzinger, Jürg.; Raso, G., 2016:
Modeling and Validation of Environmental Suitability for Schistosomiasis Transmission Using Remote Sensing

Huang, G.X.; Arany, P.R.; Mooney, D.J., 2016:
Modeling and Validation of Multilayer Poly(Lactide-Co-Glycolide) Scaffolds for In Vitro Directed Differentiation of Juxtaposed Cartilage and Bone

Metselaar, K.I.; Abee, T.; Zwietering, M.H.; den Besten, H.M.W., 2017:
Modeling and Validation of the Ecological Behavior of Wild-Type Listeria monocytogenes and Stress-Resistant Variants

Liu, T.; Poirot, N.Lombard.; Franson, D.; Seiberlich, N.; Griswold, M.A.; Cavusoglu, M.Cenk., 2017:
Modeling and Validation of the Three-Dimensional Deflection of an MRI-Compatible Magnetically Actuated Steerable Catheter

Zhang, C.; Wang, J.; Wang, W.; Xi, N.; Wang, Y.; Liu, L., 2018:
Modeling and analysis of bio-syncretic micro-swimmers for cardiomyocyte-based actuation

Cai, D.; Dai, W.; Prasad, M.; Luo, J.; Gov, N.S.; Montell, D.J., 2016:
Modeling and analysis of collective cell migration in an in vivo three-dimensional environment

Rahimi, J.; Ahmadi, V.; Yavari, M.Hasan., 2016:
Modeling and analysis of distributed feedback quantum dot passively mode-locked lasers

Obaid, A.; Ahmad, J.; Naz, A.; Awan, F.Mehwish.; Paracha, R.Zafar.; Tareen, S.Hayat.Khan.; Anjum, S.; Raza, A.; Baumbach, J.; Ali, A., 2016:
Modeling and analysis of innate immune responses induced by the host cells against hepatitis C virus infection

Safaee, S.M.R.; Janipour, M.; Karami, M.A., 2015:
Modeling and analysis of optical properties of a gold nanoring based on electric and magnetic dipoles

Jirauschek, C.; Huber, R., 2016:
Modeling and analysis of polarization effects in Fourier domain mode-locked lasers

Vázquez-Gallego, F.; Alonso, L.; Alonso-Zarate, J., 2015:
Modeling and analysis of reservation frame slotted-ALOHA in wireless machine-to-machine area networks for data collection

Wang, H.; Yang, S., 2017:
Modeling and analysis of the thermal effects of a circular bimorph piezoelectric actuator

Qayyum, M.; Khan, H.; Rahim, M.Tariq.; Ullah, I., 2015:
Modeling and analysis of unsteady axisymmetric squeezing fluid flow through porous medium channel with slip boundary

Zhu, J.; Wang, K-Ming.; Li, S.; Liu, H-Yan.; Jing, X.; Li, X-Fang.; Liu, Y-He., 2016:
Modeling and analysis of visual digital impact model for a Chinese human thorax

Amiralizadeh, S.; Nguyen, A.T.; Rusch, L.A., 2015:
Modeling and compensation of transmitter nonlinearity in coherent optical OFDM

Liu, P.; Yan, P.; Zhang, Z.; Leng, T., 2014:
Modeling and control of a novel X-Y parallel piezoelectric-actuator driven nanopositioner

Kalpana, D.; Thyagarajan, T.; Gokulraj, N., 2015:
Modeling and control of non-square MIMO system using relay feedback

Sinha, U.; Li, B.; Sankaranarayanan, G., 2015:
Modeling and control of tissue compression and temperature for automation in robot-assisted surgery

Xu, J.; Sisniega, A.; Zbijewski, W.; Dang, H.; Stayman, J.W.; Wang, X.; Foos, D.H.; Aygun, N.; Koliatsos, V.E.; Siewerdsen, J.H., 2016:
Modeling and design of a cone-beam CT head scanner using task-based imaging performance optimization

Nycz, C.J.; Delph, M.A.; Fischer, G.S., 2016:
Modeling and design of a tendon actuated soft robotic exoskeleton for hemiparetic upper limb rehabilitation

Gabrielsson, J.; Hjorth, S.; Vogg, B.; Harlfinger, S.; Gutierrez, P.Morentin.; Peletier, L.; Pehrson, R.; Davidsson, P., 2015:
Modeling and design of challenge tests: Inflammatory and metabolic biomarker study examples

Allam, A.; Elsabbagh, A.; Akl, W., 2016:
Modeling and design of two-dimensional membrane-type active acoustic metamaterials with tunable anisotropic density

Zhang, H.; Wernz, C.; Hughes, D.R., 2016:
Modeling and designing health care payment innovations for medical imaging

Zhang, T.; Niu, X.; Ban, Y.; Zhang, H.; Shi, C.; Liu, J., 2015:
Modeling and development of INS-aided PLLs in a GNSS/INS deeply-coupled hardware prototype for dynamic applications

Marlowe, H.; McEntaffer, R.L.; Tutt, J.H.; DeRoo, C.T.; Miles, D.M.; Goray, L.I.; Soltwisch, V.; Scholze, F.; Herrero, A.Fernandez.; Laubis, C., 2016:
Modeling and empirical characterization of the polarization response of off-plane reflection gratings

Deng, H.; Yang, J., 2016:
Modeling and estimating acoustic transfer functions of external ears with or without headphones

Cortez-Lugo, M.; Rodríguez-Dozal, S.; Rosas-Pérez, I.; Alamo-Hernández, U.; Riojas-Rodríguez, H., 2016:
Modeling and estimating manganese concentrations in rural households in the mining district of Molango, Mexico

Jamilis, Mín.; Garelli, F.; Mozumder, M.Salatul.Islam.; Castañeda, T.; De Battista, Hán., 2016:
Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes

Khoshnam, M.; Skanes, A.C.; Patel, R.V., 2015:
Modeling and estimation of tip contact force for steerable ablation catheters

Testad, I.; Mekki, T.Elin.; Førland, O.; Øye, C.; Tveit, E.Marie.; Jacobsen, F.; Kirkevold, Øyvind., 2016:
Modeling and evaluating evidence-based continuing education program in nursing home dementia care (MEDCED)--training of care home staff to reduce use of restraint in care home residents with dementia. A cluster randomized controlled trial

Kang, J.; Zhang, J.; Bai, Y., 2016:
Modeling and evaluation of the oil-spill emergency response capability based on linguistic variables

Chen, B.; Stein, A.F.; Castell, N.; Gonzalez-Castanedo, Y.; Sanchez de la Campa, A.M.; de la Rosa, J.D., 2016:
Modeling and evaluation of urban pollution events of atmospheric heavy metals from a large Cu-smelter

Matichard, F.; Evans, M.; Mittleman, R.; MacInnis, M.; Biscans, S.; Dooley, K.L.; Sohier, H.; Lauriero, A.; Paris, H.; Koch, J.; Knothe, P.; Carbajo, A.; Dufort, C., 2016:
Modeling and experiment of the suspended seismometer concept for attenuating the contribution of tilt motion in horizontal measurements

Maeda, K.; Colonius, T.; Kreider, W.; Maxwell, A.; Cunitz, B.; Bailey, M., 2016:
Modeling and experimental analysis of acoustic cavitation bubbles for Burst Wave Lithotripsy

Kulkarni, M.R.; Numoto, N.; Ito, N.; Kuroda, Y., 2016:
Modeling and experimental assessment of a buried Leu-Ile mutation in dengue envelope domain III

Ye, Y-Jun.; Dai, X-Tao.; Ding, D-Xin.; Zhao, Y-Li., 2016:
Modeling and experimental examination of water level effects on radon exhalation from fragmented uranium ore

Kaushal, S.; Das, B.Krishna., 2016:
Modeling and experimental investigation of an integrated optical microheater in silicon-on-insulator

Zhao, Z.; Luo, Y.; Yao, N.; Zhang, W.; Wang, C.; Gao, P.; Zhao, C.; Pu, M.; Luo, X., 2016:
Modeling and experimental study of plasmonic lens imaging with resolution enhanced methods

Ajmal, M.; Rusli, S.; Fieg, G., 2016:
Modeling and experimental validation of hydrodynamics in an ultrasonic batch reactor

Wu, C.; Chen, L.; Ni, J.; Xu, J., 2016:
Modeling and experimental verification of a new muffler based on the theory of quarter-wavelength tube and the Helmholtz muffler

Xie, J.; Wang, Y.; Zheng, X.; Yang, Q.; Wang, T.; Zou, Y.; Xing, J.; Dong, Y., 2016:
Modeling and forecasting Acinetobacter baumannii resistance to set appropriate use of cefoperazone-sulbactam: Results from trend analysis of antimicrobial consumption and development of resistance in a tertiary care hospital

Rostami, M.; Jalilian, A.; Hamzeh, B.; Laghaei, Z., 2015:
Modeling and forecasting of the under-five mortality rate in Kermanshah province in Iran: a time series analysis

Zupanic, A.; Meplan, C.; Huguenin, G.V.B.; Hesketh, J.E.; Shanley, D.P., 2017:
Modeling and gene knockdown to assess the contribution of nonsense-mediated decay, premature termination, and selenocysteine insertion to the selenoprotein hierarchy

Nastos, P.T.; Polychroni, I.D., 2016:
Modeling and in situ measurements of biometeorological conditions in microenvironments within the Athens University Campus, Greece

Baklaushev, V.P.; Grinenko, N.F.; Yusubalieva, G.M.; Abakumov, M.A.; Gubskii, I.L.; Cherepanov, S.A.; Kashparov, I.A.; Burenkov, M.S.; Rabinovich, E.Z.; Ivanova, N.V.; Antonova, O.M.; Chekhonin, V.P., 2015:
Modeling and integral X-ray, optical, and MRI visualization of multiorgan metastases of orthotopic 4T1 breast carcinoma in BALB/c mice

Masseroli, M.; Kaitoua, A.; Pinoli, P.; Ceri, S., 2016:
Modeling and interoperability of heterogeneous genomic big data for integrative processing and querying

Van Genderen, E.; Adams, W.; Dwyer, R.; Garman, E.; Gorsuch, J., 2015:
Modeling and interpreting biological effects of mixtures in the environment: introduction to the metal mixture modeling evaluation project

Mounaouer, B.; Abdennaceur, H., 2017:
Modeling and kinetic characterization of wastewater disinfection using chlorine and UV irradiation

Wu, S.; Shi, Y.; Zhou, S.; Wang, C.; Chen, H., 2018:
Modeling and mapping of critical loads for heavy metals in Kunshan soil

Özkan, Kürşad.; Şentürk, Özdemir.; Mert, A.; Negiz, M.Güvenç., 2015:
Modeling and mapping potential distribution of Crimean juniper (Juniperus excelsa Bieb.) using correlative approaches

McClure, M.L.; Burdett, C.L.; Farnsworth, M.L.; Lutman, M.W.; Theobald, D.M.; Riggs, P.D.; Grear, D.A.; Miller, R.S., 2016:
Modeling and mapping the probability of occurrence of invasive wild pigs across the contiguous United States

Ali, I.; Alsbou, N.; Ahmad, S., 2015:
Modeling and measurement of the variations of CT number distributions for mobile targets in cone-beam computed tomographic imaging

Thoreson, W.B.; Van Hook, M.J.; Parmelee, C.; Curto, C., 2016:
Modeling and measurement of vesicle pools at the cone ribbon synapse: Changes in release probability are solely responsible for voltage-dependent changes in release

El Houasli, M.; Maigret, B.; Devignes, M-Dominique.; Ghoorah, A.W.; Grudinin, S.; Ritchie, D.W., 2016:
Modeling and minimizing CAPRI round 30 symmetrical protein complexes from CASP-11 structural models

Wang, D-Gao.; Du, J.; Pei, W.; Liu, Y.; Guo, M., 2015:
Modeling and monitoring cyclic and linear volatile methylsiloxanes in a wastewater treatment plant using constant water level sequencing batch reactors

Sun, Z.; Wang, Z.; Phee, S.Jay., 2015:
Modeling and motion compensation of a bidirectional tendon-sheath actuated system for robotic endoscopic surgery

Zhang, K.; Zhang, B.; Chen, B.; Jing, L.; Zhu, Z.; Kazemi, K., 2017:
Modeling and optimization of Newfoundland shrimp waste hydrolysis for microbial growth using response surface methodology and artificial neural networks

Jacob, S.; Banerjee, R., 2017:
Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm

Lahooti, B.; Khorram, M.; Karimi, G.; Mohammadi, A.; Emami, A., 2017:
Modeling and optimization of antibacterial activity of the chitosan-based hydrogel films using central composite design

D Benson, J., 2015:
Modeling and optimization of cryopreservation

Esfandiarpour-Boroujeni, S.; Bagheri-Khoulenjani, S.; Mirzadeh, H., 2016 :
Modeling and optimization of degree of folate grafted on chitosan and carboxymethyl-chitosan

Chen, X.; Ho, K-Ying.; Wu, Y-Renn., 2015:
Modeling and optimization of p-AlGaN super lattice structure as the p-contact and transparent layer in AlGaN UVLEDs

Schenone, A.V.; Conte, L.O.; Botta, Mía.A.; Alfano, O.M., 2015:
Modeling and optimization of photo-Fenton degradation of 2,4-D using ferrioxalate complex and response surface methodology (RSM)

Šumić, Z.; Vakula, A.; Tepić, A.; Čakarević, J.; Vitas, J.; Pavlić, B., 2016:
Modeling and optimization of red currants vacuum drying process by response surface methodology (RSM)

Martin, S.; Bhushan, B., 2016:
Modeling and optimization of shark-inspired riblet geometries for low drag applications

Wu, H.; Yang, R.; Li, R.; Long, C.; Yang, H.; Li, A., 2016:
Modeling and optimization of the flocculation processes for removal of cationic and anionic dyes from water by an amphoteric grafting chitosan-based flocculant using response surface methodology

Ramić, M.; Vidović, S.; Zeković, Z.; Vladić, J.; Cvejin, A.; Pavlić, B., 2015:
Modeling and optimization of ultrasound-assisted extraction of polyphenolic compounds from Aronia melanocarpa by-products from filter-tea factory

Quan, W.; Lv, L.; Liu, B., 2014:
Modeling and optimizing of the random atomic spin gyroscope drift based on the atomic spin gyroscope

Tamadapu, G.; Grishenkov, D.; Eriksson, A., 2016:
Modeling and parametric investigation of thick encapsulated microbubble's nonspherical oscillations

Lakra, S.; Mandal, S., 2015 :
Modeling and performance analysis of vertically coupled triple microring resonator in the Z domain

Jöhl, A.; Lang, S.; Ehrbar, S.; Guckenberger, M.; Klöck, S.; Meboldt, M.; Schmid Daners, M., 2016:
Modeling and performance evaluation of a robotic treatment couch for tumor tracking

Antonelli, C.; Mecozzi, A.; Shtaif, M.; Winzer, P.J., 2015:
Modeling and performance metrics of MIMO-SDM systems with different amplification schemes in the presence of mode-dependent loss

Waldispühl, Jérôme.; Reinharz, V., 2015:
Modeling and predicting RNA three-dimensional structures

Fullybright, R.; Dwivedi, A.; Mallawaarachchi, I.; Sinsin, B., 2017:
Modeling and predicting drug resistance rate and strength

Xiao, D.; Wu, K.; Tan, X.; Le, J.; Li, H.; Yan, Y.; Xu, Z., 2016:
Modeling and predicting hemorrhagic fever with renal syndrome trends based on meteorological factors in Hu County, China

Wilson, S.; Tod, M.; Ouerdani, A.; Emde, A.; Yarden, Y.; Adda Berkane, A.; Kassour, S.; Wei, M.X.; Freyer, G.; You, B.; Grenier, E.; Ribba, B., 2016:
Modeling and predicting optimal treatment scheduling between the antiangiogenic drug sunitinib and irinotecan in preclinical settings

Yu, H.; Wondrousch, D.; Yuan, Q.; Lin, H.; Chen, J.; Hong, H.; Schüürmann, G., 2016:
Modeling and predicting pKa values of mono-hydroxylated polychlorinated biphenyls (HO-PCBs) and polybrominated diphenyl ethers (HO-PBDEs) by local molecular descriptors

Ariafar, M.Nima.; Buzrul, S.; Akçelik, N., 2016:
Modeling and predicting the biofilm formation of Salmonella Virchow with respect to temperature and pH

Bergström, P.; Lindegarth, S.; Lindegarth, M., 2016:
Modeling and predicting the growth of the mussel, Mytilus edulis: implications for planning of aquaculture and eutrophication mitigation

Riche, B.; Bricout, Hélène.; Kürzinger, M-Laure.; Roche, S.; Iwaz, J.; Etard, J-François.; Ecochard, Ré., 2017:
Modeling and predicting the long-term effects of various strategies and objectives of varicella-zoster vaccination campaigns

Liao, X.; Yuan, Z.; Lai, Q.; Guo, J.; Zheng, Q.; Yu, S.; Tong, Q.; Si, W.; Sun, M., 2016:
Modeling and predicting tissue movement and deformation for high intensity focused ultrasound therapy

Salmas, R.Ekhteiari.; Yurtsever, M.; Stein, M.; Durdagi, S., 2016:
Modeling and protein engineering studies of active and inactive states of human dopamine D2 receptor (D2R) and investigation of drug/receptor interactions

Ribeck, N.; Lenski, R.E., 2016:
Modeling and quantifying frequency-dependent fitness in microbial populations with cross-feeding interactions

Sartori, M.; Maculan, M.; Pizzolato, C.; Reggiani, M.; Farina, D., 2016:
Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion

Vinks, A.A.; Emoto, C.; Fukuda, T., 2015:
Modeling and simulation in pediatric drug therapy: Application of pharmacometrics to define the right dose for children

Barbisan, M.; Zaniol, B.; Pasqualotto, R., 2014:
Modeling and simulation of a beam emission spectroscopy diagnostic for the ITER prototype neutral beam injector

Bunimovich-Mendrazitsky, S.; Pisarev, V.; Kashdan, E., 2015:
Modeling and simulation of a low-grade urinary bladder carcinoma

Ladd Effio, C.; Hahn, T.; Seiler, J.; Oelmeier, S.A.; Asen, I.; Silberer, C.; Villain, L.; Hubbuch, Jürgen., 2016:
Modeling and simulation of anion-exchange membrane chromatography for purification of Sf9 insect cell-derived virus-like particles

Pedram, M.Z.; Shamloo, A.; GhafarZadeh, E.; Alasty, A., 2015:
Modeling and simulation of crossing magnetic nanoparticles through blood brain barrier (BBB)

Curatolo, M.; Teresi, L., 2016:
Modeling and simulation of fish swimming with active muscles

Detofol, M.Roberto.; Aguiar-Oliveira, E.; Bustamante-Vargas, C.Elena.; Soares, A.Batista.de.Jesus.; Soares, Mónica.Beatriz.Alvarado.; Maugeri, F., 2016:
Modeling and simulation of fructooligosaccharides synthesis in a batch basket reactor

Han, K.; Claret, L.; Sandler, A.; Das, A.; Jin, J.; Bruno, R., 2017:
Modeling and simulation of maintenance treatment in first-line non-small cell lung cancer with external validation

Greget, R.; Dadak, S.; Barbier, L.; Lauga, F.; Linossier-Pierre, S.; Pernot, F.; Legendre, A.; Ambert, N.; Bouteiller, J-Marie.; Dorandeu, Fédéric.; Bischoff, S.; Baudry, M.; Fagni, L.; Moussaoui, S., 2017:
Modeling and simulation of organophosphate-induced neurotoxicity: Prediction and validation by experimental studies

Kim, S-Kon., 2015:
Modeling and simulation of patterning diblock copolymers through nanoimprint lithography

Yamashita, F., 2016:
Modeling and simulation of pharmacokinetic drug-drug interaction caused by induction of metabolic enzymes

Delenda, B.; Bader, R.; van Rienen, U., 2016:
Modeling and simulation of platelet reaction and diffusion towards an electro-stimulating dental implant

Ozboyaci, M.; Kokh, D.B.; Corni, S.; Wade, R.C., 2016:
Modeling and simulation of protein-surface interactions: achievements and challenges

Omrane, I.; Etien, E.; Dib, W.; Bachelier, O., 2015:
Modeling and simulation of soft sensor design for real-time speed and position estimation of PMSM

Adachi, T., 2017:
Modeling and simulation of trabecular pattern formation in a cancellous bone defect under mechanical forces

Pappu, J.Sharon.Mano.; Gummadi, S.N., 2017:
Modeling and simulation of xylitol production in bioreactor by Debaryomyces nepalensis NCYC 3413 using unstructured and artificial neural network models

Zhang, J.; Thapar, M.; Farrell, C.; Wire, M.B., 2016:
Modeling and simulation support eltrombopag dosing in thrombocytopenic patients with chronic HCV infection

Cao, J.; Hao, Q.; Cheng, Y.; Zhang, F.; Peng, Y.; Yu, H., 2016:
Modeling and simulations on retina-like sensors based on curved surface

Claret, L.; Mercier, F.; Houk, B.E.; Milligan, P.A.; Bruno, R., 2015:
Modeling and simulations relating overall survival to tumor growth inhibition in renal cell carcinoma patients

Nazmi, F.; Moosavi, M.Amin.; Rahmati, M.; Hoessinpour-Feizi, M.Ali., 2015:
Modeling and structural analysis of human Guanine nucleotide-binding protein-like 3,nucleostemin

Lin, B.; Li, Y.; Han, L.; Kaplan, A.D.; Ao, Y.; Kalra, S.; Bett, G.C.L.; Rasmusson, R.L.; Denning, C.; Yang, L., 2016:
Modeling and study of the mechanism of dilated cardiomyopathy using induced pluripotent stem cells derived from individuals with Duchenne muscular dystrophy

Prieto, Jé.Tomás.; Zuleta, C.; Rodríguez, J.Tulio., 2016:
Modeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala

Varadharajan, V.; Vadivel, S.Shanmuga.; Ramaswamy, A.; Sundharamurthy, V.; Chandrasekar, P., 2015:
Modeling and verification of process parameters for the production of tannase by Aspergillus oryzae under submerged fermentation using agro-wastes

Svehlikova, J.; Zelinka, J.; Bacharova, L.; Tysler, M., 2017:
Modeling and visualization of the activation wavefront propagation to improve understanding the QRS complex changes indicating left ventricular hypertrophy

Danaf, M.; Abou-Zeid, M.; Kaysi, I., 2015:
Modeling anger and aggressive driving behavior in a dynamic choice-latent variable model

Martelloni, G.; Santarlasci Alisa; Bagnoli, F.; Santini, G., 2015:
Modeling ant battles by means of a diffusion-limited Gillespie algorithm

Amorim, P., 2016:
Modeling ant foraging: A chemotaxis approach with pheromones and trail formation

Tilahun, B.; Fritz, F., 2016:
Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals

Morancho, B.; Zacarías-Fluck, M.; Esgueva, A.; Bernadó-Morales, C.; Di Cosimo, S.; Prat, A.; Cortés, J.; Arribas, Jín.; Rubio, I.T., 2016:
Modeling anti-IL-6 therapy using breast cancer patient-derived xenografts

Zhao, J.; Seeluangsawat, P.; Wang, Q., 2016:
Modeling antimicrobial tolerance and treatment of heterogeneous biofilms

Broen, M.P.G.; Köhler, S.; Moonen, A.J.H.; Kuijf, M.L.; Dujardin, K.; Marsh, L.; Richard, I.H.; Starkstein, S.E.; Martinez-Martin, P.; Leentjens, A.F.G., 2016:
Modeling anxiety in Parkinson's disease

Matsunaga, N.; Suzuki, K.; Nakanishi, T.; Ogawa, M.; Imawaka, H.; Tamai, I., 2016:
Modeling approach for multiple transporters-mediated drug-drug interactions in sandwich-cultured human hepatocytes: effect of cyclosporin A on hepatic disposition of mycophenolic acid phenyl-glucuronide

Zare, Y., 2016:
Modeling approach for tensile strength of interphase layers in polymer nanocomposites

Tully, B.; Hawker, N.; Ventikos, Y., 2016:
Modeling asymmetric cavity collapse with plasma equations of state

Carlin, M.A.; Elhilali, M., 2015:
Modeling attention-driven plasticity in auditory cortical receptive fields

Rudnicki, M.; Schoppe, O.; Isik, M.; Völk, F.; Hemmert, W., 2016:
Modeling auditory coding: from sound to spikes

Beltrão-Braga, P.C.B.; Muotri, A.R., 2016:
Modeling autism spectrum disorders with human neurons

Servadio, M.; Vanderschuren, L.J.M.J.; Trezza, V., 2016:
Modeling autism-relevant behavioral phenotypes in rats and mice: Do 'autistic' rodents exist?

Chen, J.; Riazifar, H.; Guan, M-Xin.; Huang, T., 2016:
Modeling autosomal dominant optic atrophy using induced pluripotent stem cells and identifying potential therapeutic targets

Bultmann-Mellin, I.; Conradi, A.; Maul, A.C.; Dinger, K.; Wempe, F.; Wohl, A.P.; Imhof, T.; Wunderlich, F.Thomas.; Bunck, A.C.; Nakamura, T.; Koli, K.; Bloch, W.; Ghanem, A.; Heinz, A.; von Melchner, H.; Sengle, G.; Sterner-Kock, A., 2016:
Modeling autosomal recessive cutis laxa type 1C in mice reveals distinct functions for Ltbp-4 isoforms

Marsac, K.E.; Burnley, P.C.; Adcock, C.T.; Haber, D.A.; Malchow, R.L.; Hausrath, E.M., 2016:
Modeling background radiation using geochemical data: A case study in and around Cameron, Arizona

Yurur, O.; Liu, C.Harold.; Moreno, W., 2015:
Modeling battery behavior on sensory operations for context-aware smartphone sensing

Cipresso, P., 2015:
Modeling behavior dynamics using computational psychometrics within virtual worlds

Moyer-Horner, L.; Mathewson, P.D.; Jones, G.M.; Kearney, M.R.; Porter, W.P., 2016:
Modeling behavioral thermoregulation in a climate change sentinel

Mao, F.; Ong, S.Kee.; Gaunt, J.A., 2015:
Modeling benzene permeation through drinking water high density polyethylene (HDPE) pipes

Korsman, J.C.; Schipper, A.M.; de Vos, M.G.; van den Heuvel-Greve, M.J.; Vethaak, A.Dick.; de Voogt, P.; Hendriks, A.Jan., 2016:
Modeling bioaccumulation and biomagnification of nonylphenol and its ethoxylates in estuarine-marine food chains

Mannucci, A.; Munz, G.; Mori, G.; Makinia, J.; Lubello, C.; Oleszkiewicz, J.A., 2015:
Modeling bioaugmentation with nitrifiers in membrane bioreactors

Hill, D.P.; D'Eustachio, P.; Berardini, T.Z.; Mungall, C.J.; Renedo, N.; Blake, J.A., 2017:
Modeling biochemical pathways in the gene ontology

Shrivastava, D.; Mishra, S.C.; Gordon, C.J., 2017:
Modeling bioheat transfer processes and thermoregulatory responses

Bertens, L.M.F.; Kleijn, J.; Hille, S.C.; Heiner, M.; Koutny, M.; Verbeek, F.J., 2016:
Modeling biological gradient formation: combining partial differential equations and Petri nets

Chylek, L.A.; Wilson, B.S.; Hlavacek, W.S., 2015:
Modeling biomolecular site dynamics in immunoreceptor signaling systems

van Enkhuizen, J.; Milienne-Petiot, M.; Geyer, M.A.; Young, J.W., 2016:
Modeling bipolar disorder in mice by increasing acetylcholine or dopamine: chronic lithium treats most, but not all features

Aydoğdu, A.; Frasca, P.; D'Apice, C.; Manzo, R.; Thornton, J.M.; Gachomo, B.; Wilson, T.; Cheung, B.; Tariq, U.; Saidel, W.; Piccoli, B., 2016:
Modeling birds on wires

Sengers, B.G.; McGinty, S.; Nouri, F.Z.; Argungu, M.; Hawkins, E.; Hadji, A.; Weber, A.; Taylor, A.; Sepp, A., 2017:
Modeling bispecific monoclonal antibody interaction with two cell membrane targets indicates the importance of surface diffusion

Villanueva-Delgado, P.; Krämer, K.W.; Valiente, R.; de Jong, M.; Meijerink, A., 2016:
Modeling blue to UV upconversion in β-NaYF 4 :Tm 3

Cant, J.; Palenstijn, W.Jan.; Behiels, G.; Sijbers, J., 2016:
Modeling blurring effects due to continuous gantry rotation: Application to region of interest tomography

Betancourt, M.R., 2016:
Modeling bond correlations in denatured proteins and polypeptides

Jiang, Y.; Zhang, Q.; Wang, H., 2017:
Modeling boyciana-fish-human interaction with partial differential algebraic equations

Fua, P.; Knott, G.W., 2015:
Modeling brain circuitry over a wide range of scales

Wang, M.; Yuan, W., 2016:
Modeling bubble dynamics and radical kinetics in ultrasound induced microalgal cell disruption

Winslow, R.L.; Walker, M.A.; Greenstein, J.L., 2016:
Modeling calcium regulation of contraction, energetics, signaling, and transcription in the cardiac myocyte

Yizhak, K.; Chaneton, B.; Gottlieb, E.; Ruppin, E., 2016:
Modeling cancer metabolism on a genome scale

Lu, X-Jie.; Qi, X.; Zheng, D-Hui.; Ji, L-Juan., 2016:
Modeling cancer processes with CRISPR-Cas9

Stiedl, P.; Grabner, B.; Zboray, K.; Bogner, E.; Casanova, E., 2015:
Modeling cancer using genetically engineered mice

Caccavo, D.; Ström, A.; Larsson, A.; Lamberti, G., 2016:
Modeling capillary formation in calcium and copper alginate gels

Yuan, L.; Zhou, L.; Smith, A.C., 2016:
Modeling carbon monoxide spread in underground mine fires

Jiang, Y.; Rastetter, E.B.; Rocha, A.V.; Pearce, A.R.; Kwiatkowski, B.L.; Shaver, G.R., 2015:
Modeling carbon-nutrient interactions during the early recovery of tundra after fire

Cherry, B.H.; Nguyen, A.Q.; Hollrah, R.A.; Olivencia-Yurvati, A.H.; Mallet, R.T., 2015 :
Modeling cardiac arrest and resuscitation in the domestic pig

Vivas, J.; Garzón-Alvarado, D.; Cerrolaza, M., 2015:
Modeling cell adhesion and proliferation: a cellular-automata based approach

Okuda, S.; Inoue, Y.; Eiraku, M.; Adachi, T.; Sasai, Y., 2017:
Modeling cell apoptosis for simulating three-dimensional multicellular morphogenesis based on a reversible network reconnection framework

Cunha, M.; Testa, E.; Komova, O.V.; Nasonova, E.A.; Mel'nikova, L.A.; Shmakova, N.L.; Beuve, Mël., 2016:
Modeling cell response to low doses of photon irradiation--Part 1: on the origin of fluctuations

Cunha, M.; Testa, E.; Komova, O.V.; Nasonova, E.A.; Mel'nikova, L.A.; Shmakova, N.L.; Beuve, Mël., 2016:
Modeling cell response to low doses of photon irradiation: Part 2--application to radiation-induced chromosomal aberrations in human carcinoma cells

Albert, P.J.; Schwarz, U.S., 2016:
Modeling cell shape and dynamics on micropatterns

Edirisinghe, J.N.; Weisenhorn, P.; Conrad, N.; Xia, F.; Overbeek, R.; Stevens, R.L.; Henry, C.S., 2017:
Modeling central metabolism and energy biosynthesis across microbial life

Pyle, L.; Bergman, B.C.; Nadeau, K.J.; Cree-Green, M., 2016:
Modeling changes in glucose and glycerol rates of appearance when true basal rates of appearance cannot be readily determined

Glennie, D.L.; Hayward, J.E.; Farrell, T.J., 2015:
Modeling changes in the hemoglobin concentration of skin with total diffuse reflectance spectroscopy

Wheeler, H.E.; Wing, C.; Delaney, S.M.; Komatsu, M.; Dolan, M.Eileen., 2016:
Modeling chemotherapeutic neurotoxicity with human induced pluripotent stem cell-derived neuronal cells

Viejo, G.; Khamassi, M.; Brovelli, A.; Girard, Bît., 2015:
Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning

Imakaev, M.V.; Fudenberg, G.; Mirny, L.A., 2016:
Modeling chromosomes: Beyond pretty pictures

Späti, J.; Aritake, S.; Meyer, A.H.; Kitamura, S.; Hida, A.; Higuchi, S.; Moriguchi, Y.; Mishima, K., 2015:
Modeling circadian and sleep-homeostatic effects on short-term interval timing

Wang, S.; Zang, C.; Xiao, T.; Fan, J.; Mei, S.; Qin, Q.; Wu, Q.; Li, X.; Xu, K.; He, H.Hansen.; Brown, M.; Meyer, C.A.; Liu, X.Shirley., 2016:
Modeling cis-regulation with a compendium of genome-wide histone H3K27ac profiles

Costanza, J.K.; Terando, A.J.; McKerrow, A.J.; Collazo, J.A., 2015:
Modeling climate change, urbanization, and fire effects on Pinus palustris ecosystems of the southeastern U.S

Walsh, C.; Elhadad, Némie., 2015:
Modeling clinical context: rediscovering the social history and evaluating language from the clinic to the wards

Li, D.S.; Zimmermann, J.; Levine, H., 2016:
Modeling closure of circular wounds through coordinated collective motion

Shokouhi, S.; Rogers, B.P.; Kang, H.; Ding, Z.; Claassen, D.O.; Mckay, J.W.; Riddle, W.R., 2016:
Modeling clustered activity increase in amyloid-beta positron emission tomographic images with statistical descriptors

Liu, L.; Zhao, W.; Zhou, X., 2016:
Modeling co-occupancy of transcription factors using chromatin features

Goldman, S.A.; Nedergaard, M.; Windrem, M.S., 2016:
Modeling cognition and disease using human glial chimeric mice

Shin, Y-Jun.; Mahrou, B., 2015:
Modeling collective & intelligent decision making of multi-cellular populations

Solano, E.A.; Mohamed, S.; Mayer, P.M., 2016:
Modeling collision energy transfer in APCI/CID mass spectra of PAHs using thermal-like post-collision internal energy distributions

Rösch, K.; Scholz, M.; Hasenclever, D., 2017:
Modeling combined chemo- and immunotherapy of high-grade non-Hodgkin lymphoma

Mollayeva, T.; Shapiro, C.M.; Mollayeva, S.; Cassidy, J.David.; Colantonio, A., 2016:
Modeling community integration in workers with delayed recovery from mild traumatic brain injury

Peng, B.; Muthukumar, M., 2016:
Modeling competitive substitution in a polyelectrolyte complex

Ueda, Y.; Gullipalli, D.; Song, W-Chao., 2017:
Modeling complement-driven diseases in transgenic mice: Values and limitations

Yang, H.; Anderson, S.A.; Forshee, R.; Williams, A.; Epstein, J.S.; Marks, P.W., 2016:
Modeling complete removal of risk assessment questions in the USA predicts the risk of HIV exposure in blood recipients could increase despite the use of nucleic acid testing

Cheng, C.Yu.; Chou, F-Chieh.; Das, R., 2015:
Modeling complex RNA tertiary folds with Rosetta

Anishchenko, I.; Kundrotas, P.J.; Vakser, I.A., 2016:
Modeling complexes of modeled proteins

Gebremedhin, K.G.; Wu, B.; Perano, K., 2016:
Modeling conductive cooling for thermally stressed dairy cows

Voskuilen, C.; Ratcliff, R., 2016:
Modeling confidence and response time in associative recognition

Tamazian, G.; Ho Chang, J.; Knyazev, S.; Stepanov, E.; Kim, K-Jin.; Porozov, Y., 2017:
Modeling conformational redox-switch modulation of human succinic semialdehyde dehydrogenase

Schölkopf, B.; Hogg, D.W.; Wang, D.; Foreman-Mackey, D.; Janzing, D.; Simon-Gabriel, C-Johann.; Peters, J., 2016:
Modeling confounding by half-sibling regression

Moulton, M.J.; Letsou, A., 2016:
Modeling congenital disease and inborn errors of development in Drosophila melanogaster

Browne, C.; Gulbudak, H.; Webb, G., 2016:
Modeling contact tracing in outbreaks with application to Ebola

Dunn, E.C.; Masyn, K.E.; Johnston, W.R.; Subramanian, S.V., 2015:
Modeling contextual effects using individual-level data and without aggregation: an illustration of multilevel factor analysis (MLFA) with collective efficacy

Jenkner, C.; Lorenz, E.; Becher, H.; Sauerbrei, W., 2017:
Modeling continuous covariates with a "spike" at zero: Bivariate approaches

Mandal, M.; Ghosh, B.; Anura, A.; Mitra, P.; Pathak, T.; Chatterjee, J., 2016:
Modeling continuum of epithelial mesenchymal transition plasticity

Cunningham, S.C.; Siew, S.M.; Hallwirth, C.V.; Bolitho, C.; Sasaki, N.; Garg, G.; Michael, I.P.; Hetherington, N.A.; Carpenter, K.; de Alencastro, G.; Nagy, A.; Alexander, I.E., 2015:
Modeling correction of severe urea cycle defects in the growing murine liver using a hybrid recombinant adeno-associated virus/piggyBac transposase gene delivery system

Coakley, K.E.; Douglas, T.D.; Goodman, M.; Ramakrishnan, U.; Dobrowolski, S.F.; Singh, R.H., 2017:
Modeling correlates of low bone mineral density in patients with phenylalanine hydroxylase deficiency

Fernandez, M.; Breedon, M.; Cole, I.S.; Barnard, A.S., 2017:
Modeling corrosion inhibition efficacy of small organic molecules as non-toxic chromate alternatives using comparative molecular surface analysis (CoMSA)

Taghavy, A.; Pennell, K.D.; Abriola, L.M., 2015:
Modeling coupled nanoparticle aggregation and transport in porous media: a Lagrangian approach

Corwin, L.A.; Graham, M.J.; Dolan, E.L., 2015:
Modeling course-based undergraduate research experiences: an agenda for future research and evaluation

Coppel, L.G.; Slavuj, R.; Hardeberg, J.Yngve., 2016:
Modeling coverage-dependent ink thickness in ink-jet printing

Neben, C.L.; Roberts, R.R.; Dipple, K.M.; Merrill, A.E.; Klein, O.D., 2016:
Modeling craniofacial and skeletal congenital birth defects to advance therapies

Xu, P.; Huang, H., 2016:
Modeling crash spatial heterogeneity: random parameter versus geographically weighting

Mitchell, R.A.; Schumacher, D.W.; Chowdhury, E.A., 2015:
Modeling crater formation in femtosecond-pulse laser damage from basic principles

Alfinito, E.; Reggiani, L., 2016:
Modeling Current-Voltage Charateristics of Proteorhodopsin and Bacteriorhodopsin: Towards an Optoelectronics Based on Proteins

Wasnik, V.; Wingreen, N.S.; Mukhopadhyay, R., 2016:
Modeling curvature-dependent subcellular localization of the small sporulation protein SpoVM in Bacillus subtilis

Galvão, B.R.L.; Mota, V.C.; Varandas, A.J.C., 2015:
Modeling cusps in adiabatic potential energy surfaces

Case, J.L.; Arruda, J.E.; VanWormer, L.A., 2016:
Modeling cyclic variations in sustained human performance as measured by reaction time and the flash visual evoked potential-P2

Helms, G.; Dasanna, A.Kumar.; Schwarz, U.S.; Lanzer, M., 2017:
Modeling cytoadhesion of Plasmodium falciparum-infected erythrocytes and leukocytes-common principles and distinctive features

Zhao, J.; Wang, Q., 2016:
Modeling cytokinesis of eukaryotic cells driven by the actomyosin contractile ring

Price, R.Lee.; Chiocca, E.Antonio., 2015:
Modeling cytomegalovirus infection in mouse tumor models

Goryaeva, A.M.; Carrez, P.; Cordier, P., 2015:
Modeling defects and plasticity in MgSiO 3 post-perovskite: Part 1-generalized stacking faults

Goryaeva, A.M.; Carrez, P.; Cordier, P., 2015:
Modeling defects and plasticity in MgSiO 3 post-perovskite: Part 2-screw and edge [100] dislocations

Feng, J.; Sevier, S.A.; Huang, B.; Jia, D.; Levine, H., 2018 :
Modeling delayed processes in biological systems

Katzourakis, V.E.; Chrysikopoulos, C.V., 2016:
Modeling dense-colloid and virus cotransport in three-dimensional porous media

Yang, Y.; Edwards, T.D.; Bevan, M.A., 2014:
Modeling depletion mediated colloidal assembly on topographical patterns

Min, X.; Kent, A.R.; Rosenberg, S.P.; Fayram, T.A., 2015:
Modeling dermatome selectivity of single-and multiple-current source spinal cord stimulation systems

Faway, Émilie.; Cambier, L.; Mignon, B.; Poumay, Y.; Lambert de Rouvroit, C., 2016:
Modeling dermatophytosis in reconstructed human epidermis: A new tool to study infection mechanisms and to test antifungal agents

Chen, T.; Xiao, R., 2015:
Modeling design iteration in product design and development and its solution by a novel artificial bee colony algorithm

Drake, R.J.; Nordentoft, M.; Haddock, G.; Arango, C.; Fleischhacker, W.Wolfgang.; Glenthøj, B.; Leboyer, M.; Leucht, S.; Leweke, M.; McGuire, P.; Meyer-Lindenberg, A.; Rujescu, D.; Sommer, I.E.; Kahn, Ré.S.; Lewis, S.W., 2016:
Modeling determinants of medication attitudes and poor adherence in early nonaffective psychosis: implications for intervention

Baker, R.L.; Leong, W.Fung.; Brock, M.T.; Markelz, R.J.Cody.; Covington, M.F.; Devisetty, U.K.; Edwards, C.E.; Maloof, J.; Welch, S.; Weinig, C., 2016:
Modeling development and quantitative trait mapping reveal independent genetic modules for leaf size and shape

Chandrasekar, V.; Knabel, S.J.; Anantheswaran, R.C., 2015:
Modeling development of inhibition zones in an agar diffusion bioassay

Young-Pearse, T.L.; Morrow, E.M., 2016 :
Modeling developmental neuropsychiatric disorders with iPSC technology: challenges and opportunities

Brookheart, R.T.; Duncan, J.G., 2017:
Modeling dietary influences on offspring metabolic programming in Drosophila melanogaster

Stopper, D.; Marolt, K.; Roth, R.; Hansen-Goos, H., 2015:
Modeling diffusion in colloidal suspensions by dynamical density functional theory using fundamental measure theory of hard spheres

Palombo, M.; Ligneul, C.; Valette, J., 2016:
Modeling diffusion of intracellular metabolites in the mouse brain up to very high diffusion-weighting: Diffusion in long fibers (almost) accounts for non-monoexponential attenuation

Wu, M.; Li, J.; Ludwig, A.; Kharicha, A., 2013:
Modeling diffusion-governed solidification of ternary alloys - Part 1: Coupling solidification kinetics with thermodynamics

Wu, M.; Li, J.; Ludwig, A.; Kharicha, A., 2014:
Modeling diffusion-governed solidification of ternary alloys - Part 2: Macroscopic transport phenomena and macrosegregation

Peters, J.P.; Her, Y.F.; Maher, L.James., 2015:
Modeling dioxygenase enzyme kinetics in familial paraganglioma

Carvalho, Jé.C.; Cardoso, P.; Rigal, Fçois.; Triantis, K.A.; Borges, P.A.V., 2015:
Modeling directional spatio-temporal processes in island biogeography

Ferber, K.; Archer, K.J., 2015:
Modeling discrete survival time using genomic feature data

Yanovsky-Dagan, S.; Mor-Shaked, H.; Eiges, R., 2015:
Modeling diseases of noncoding unstable repeat expansions using mutant pluripotent stem cells

Zang, Y.T.; Li, B.M.; Bing, S.; Cao, W., 2015:
Modeling disinfection of plastic poultry transport cages inoculated with Salmonella enteritids by slightly acidic electrolyzed water using response surface methodology

Sunder, K.; Gan, W-Seng.; Tan, E-Leng., 2016:
Modeling distance-dependent individual head-related transfer functions in the horizontal plane using frontal projection headphones

Liu, Z.; Guo, W., 2016:
Modeling diurnal hormone profiles by hierarchical state space models

Elhenawy, M.; Jahangiri, A.; Rakha, H.A.; El-Shawarby, I., 2016:
Modeling driver stop/run behavior at the onset of a yellow indication considering driver run tendency and roadway surface conditions

Anderson, P.O.; Sauberan, J.B., 2017:
Modeling drug passage into human milk

Feizabadi, M.Shojania.; Witten, T.M., 2015:
Modeling drug resistance in a conjoint normal-tumor setting

Ohara, R.; Imamura, K.; Morii, F.; Egawa, N.; Tsukita, K.; Enami, T.; Shibukawa, R.; Mizuno, T.; Nakagawa, M.; Inoue, H., 2016:
Modeling Drug-Induced Neuropathy Using Human iPSCs for Predictive Toxicology

Qiao, X.; Tang, Y.; Hu, J.; Zhang, S.; Li, J.; Kota, S.Harsha.; Wu, L.; Gao, H.; Zhang, H.; Ying, Q., 2016:
Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part I. Base case model results

Qiao, X.; Tang, Y.; Kota, S.Harsha.; Li, J.; Wu, L.; Hu, J.; Zhang, H.; Ying, Q., 2016:
Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part II. Emission sector and source region contributions

Driver, J.; Price, P.; vanWesenbeeck, I.; Kaplan, W.; Holden, L.; Ross, J.; Landenberger, B., 2018:
Modeling duration of time lived in a residence, a community and mobility in rural areas of Merced and Ventura, California to assess potential health risks to airborne contaminants

Stifter, C.A.; Rovine, M., 2016:
Modeling dyadic processes using Hidden Markov Models: A time series approach to mother-infant interactions during infant immunization

Ngeo, J.; Tamei, T.; Ikeda, K.; Shibata, T., 2016:
Modeling dynamic high-DOF finger postures from surface EMG using nonlinear synergies in latent space representation

Wang, A.; De Graef, M., 2015:
Modeling dynamical electron scattering with Bethe potentials and the scattering matrix

Ota, M.; Nagai, H.; Koarashi, J., 2016:
Modeling dynamics of (137)Cs in forest surface environments: Application to a contaminated forest site near Fukushima and assessment of potential impacts of soil organic matter interactions

Gillard, J.J.; Laws, T.R.; Lythe, G.; Molina-París, C., 2015:
Modeling early events in Francisella tularensis pathogenesis

Robinson, M.; Sabbagh, A.; Muirhead, R.; Durrant, L.; Van den Heuvel, F.; Hawkins, M., 2016:
Modeling early haematologic adverse events in conformal and intensity-modulated pelvic radiotherapy in anal cancer

Wu, C.; Wang, J.; Peng, J.; Patel, N.; Huang, Y.; Gao, X.; Aljarallah, S.; Eubanks, J.H.; McDonald, R.; Zhang, L., 2015:
Modeling early-onset post-ischemic seizures in aging mice

Murillo, A.L.; Safan, M.; Castillo-Chavez, C.; Phillips, E.D.Capaldi.; Wadhera, D., 2016:
Modeling eating behaviors: The role of environment and positive food association learning via a Ratatouille effect

Dexter, N.; McLeod, S.R., 2015:
Modeling ecological traps for the control of feral pigs

Liu, G.; Wang, J., 2016:
Modeling effects of DO and SRT on activated sludge decay and production

van der Steen, M.C.Marieke.; Schwartze, M.; Kotz, S.A.; Keller, P.E., 2015:
Modeling effects of cerebellar and basal ganglia lesions on adaptation and anticipation during sensorimotor synchronization

Lon, H-Kei.; DuBois, D.C.; Earp, J.C.; Almon, R.R.; Jusko, W.J., 2015:
Modeling effects of dexamethasone on disease progression of bone mineral density in collagen-induced arthritic rats

Gao, X.; Grayden, D.B.; McDonnell, M.D., 2016:
Modeling Electrode Place Discrimination in Cochlear Implant Stimulation

Makita, H.; Hastings, G., 2016:
Modeling electron transfer in photosystem I

Moise, H.; Chettle, D.R.; Pejović-Milić, A., 2016:
Modeling elemental strontium in human bone based on in vivo x-ray fluorescence measurements in osteoporotic females self-supplementing with strontium citrate

Hilbers, J.P.; Van Langevelde, F.; Prins, H.H.T.; Grant, C.C.; Peel, M.J.S.; Coughenour, M.B.; De Knegt, H.J.; Slotow, R.; Smit, I.P.J.; Kiker, G.A.; De Boer, W.F., 2015:
Modeling elephant-mediated cascading effects of water point closure

Presti, D.; Labat, Fédéric.; Pedone, A.; Frisch, M.J.; Hratchian, H.P.; Ciofini, I.; Cristina Menziani, M.; Adamo, C., 2016:
Modeling emission features of salicylidene aniline molecular crystals: A QM/QM' approach

King, M-F.; Noakes, C.J.; Sleigh, P.A., 2016:
Modeling environmental contamination in hospital single- and four-bed rooms

Konc, J.; Lešnik, S.; Janežič, Dšanka., 2015:
Modeling enzyme-ligand binding in drug discovery

Gordillo, L.F., 2016:
Modeling ephemeral mating encounters in insects: The emergence of mate-finding Allee effects and applications to theoretical models of sterile release

Kattis, A.A.; Holiday, A.; Stoica, A-Andreea.; Kevrekidis, I.G., 2016:
Modeling epidemics on adaptively evolving networks: A data-mining perspective

Dolbniak, M.; Kimmel, M.; Smieja, J., 2016:
Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle

Symons, J.E.; Fyhrie, D.P.; Hawkins, D.A.; Upadhyaya, S.K.; Stover, S.M., 2015:
Modeling equine race surface vertical mechanical behaviors in a musculoskeletal modeling environment

Zhang, Z., 2017:
Modeling error distributions of growth curve models through Bayesian methods

Hanson, S.M.; Ekins, S.; Chodera, J.D., 2016:
Modeling error in experimental assays using the bootstrap principle: understanding discrepancies between assays using different dispensing technologies

Chatzistamou, I.; Kiaris, H., 2016:
Modeling estrogen receptor-positive breast cancers in mice: is it the best we can do?

Paulus, P.C.; Castegnetti, G.; Bach, D.R., 2017:
Modeling event-related heart period responses

Klimenko, A.; Matushkin, Y.; Kolchanov, N.; Lashin, S., 2015:
Modeling evolution of spatially distributed bacterial communities: a simulation with the haploid evolutionary constructor

Li, X-Yi.; Giaimo, S.; Baudisch, A.; Traulsen, A., 2016:
Modeling evolutionary games in populations with demographic structure

Doebeli, M.; Abouheif, E., 2017:
Modeling evolutionary transitions in social insects

Vyboishchikov, S.F., 2015:
Modeling exact exchange potential in spherically confined atoms

Azcarate, S.M.; de Araújo Gomes, A.; Alcaraz, M.R.; Ugulino de Araújo, Mário.C.; Camiña, Jé.M.; Goicoechea, Héctor.C., 2016:
Modeling excitation-emission fluorescence matrices with pattern recognition algorithms for classification of Argentine white wines according grape variety

Soloway, A.G.; Dahl, P.H.; Odom, R.I., 2015:
Modeling explosion generated Scholte waves in sandy sediments with power law dependent shear wave speed

Haji-Abolhassani, I.; Guitton, D.; Galiana, H.L., 2016:
Modeling eye-head gaze shifts in multiple contexts without motor planning

Vanni, S.; Sharifian, F.; Heikkinen, H.; Vigário, R., 2016:
Modeling fMRI signals can provide insights into neural processing in the cerebral cortex

Lepnurm, R.; Dobson, R.Thomas.; Peña-Sánchez, J-Nicolás.; Nesdole, R., 2015 :
Modeling factors explaining physicians' satisfaction with competence

Kucinski, A.; Albin, R.L.; Lustig, C.; Sarter, M., 2015:
Modeling falls in Parkinson's disease: Slow gait, freezing episodes and falls in rats with extensive striatal dopamine loss

Chambert, T.; Miller, D.A.W.; Nichols, J.D., 2015:
Modeling false positive detections in species occurrence data under different study designs

Zhang, J.; Silber, J.I.; Mazurowski, M.A., 2016:
Modeling false positive error making patterns in radiology trainees for improved mammography education

Lee, D-Fang.; Su, J.; Kim, H.Suk.; Chang, B.; Papatsenko, D.; Zhao, R.; Yuan, Y.; Gingold, J.; Xia, W.; Darr, H.; Mirzayans, R.; Hung, M-Chie.; Schaniel, C.; Lemischka, I.R., 2015:
Modeling familial cancer with induced pluripotent stem cells

Cho, K.Hwa.; Pachepsky, Y.A.; Oliver, D.M.; Muirhead, R.W.; Park, Y.; Quilliam, R.S.; Shelton, D.R., 2017:
Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities

Maher, J.J., 2016:
Modeling fatty liver disease in animals: Is there an optimal approach, and is the effort worthwhile?

Castegnetti, G.; Tzovara, A.; Staib, M.; Paulus, P.C.; Hofer, N.; Bach, D.R., 2017:
Modeling fear-conditioned bradycardia in humans

Holcombe, S.A.; Wang, S.C.; Grotberg, J.B., 2016:
Modeling female and male rib geometry with logarithmic spirals

Nepstad, R.; Størdal, I.Fladvad.; Brönner, U.; Nordtug, T.; Hansen, Børn.Henrik., 2015:
Modeling filtration of dispersed crude oil droplets by the copepod Calanus finmarchicus

Biondo, A.Emanuele.; Pluchino, A.; Rapisarda, A., 2015:
Modeling financial markets by self-organized criticality

Pondella, D.J.; Zahn, L.A.; Love, M.S.; Siegel, D.; Bernstein, B.B., 2016:
Modeling fish production for southern California's petroleum platforms

Liu, R.; Dix-Cooper, L.; Hammond, S.Katharine., 2015:
Modeling flight attendants' exposure to secondhand smoke in commercial aircraft: historical trends from 1955 to 1989

Ahiablame, L.; Shakya, R., 2016:
Modeling flood reduction effects of low impact development at a watershed scale

Gottschalk, F.; Lassen, C.; Kjoelholt, J.; Christensen, F.; Nowack, B., 2016:
Modeling flows and concentrations of nine engineered nanomaterials in the Danish environment

Meijer, H.G.E.; Eissa, T.L.; Kiewiet, B.; Neuman, J.F.; Schevon, C.A.; Emerson, R.G.; Goodman, R.R.; McKhann, G.M.; Marcuccilli, C.J.; Tryba, A.K.; Cowan, J.D.; van Gils, S.A.; van Drongelen, W., 2015:
Modeling focal epileptic activity in the Wilson-cowan model with depolarization block

Hokr, B.H.; Bixler, J.N.; Elpers, G.; Zollars, B.; Thomas, R.J.; Yakovlev, V.V.; Scully, M.O., 2015:
Modeling focusing Gaussian beams in a turbid medium with Monte Carlo simulations

Schneider, L.; Maher, W.A.; Potts, J.; Taylor, A.M.; Batley, G.E.; Krikowa, F.; Chariton, A.A.; Gruber, B., 2015:
Modeling food web structure and selenium biomagnification in Lake Macquarie, New South Wales, Australia, using stable carbon and nitrogen isotopes

Chylek, L.A.; Harris, L.A.; Faeder, J.R.; Hlavacek, W.S., 2016:
Modeling for (physical) biologists: an introduction to the rule-based approach

Malanson, K.; Jacque, B.; Faux, R.; Meiri, K.F., 2015:
Modeling for Fidelity: virtual mentorship by scientists fosters teacher self-efficacy and promotes implementation of novel high school biomedical curricula

Gao, Z.; Zhang, Y.; Zhang, Y., 2016:
Modeling for IFOG Vibration Error Based on the Strain Distribution of Quadrupolar Fiber Coil

Lafont, E.; Urien, S.; Salem, J-Elie.; Heming, N.; Faisy, C., 2016:
Modeling for critically ill patients: An introduction for beginners

Zhang, K.; Li, Y.P.; Huang, G.H.; You, L.; Jin, S.W., 2016:
Modeling for regional ecosystem sustainable development under uncertainty--A case study of Dongying, China

Li, P.; Li, Y.P.; Huang, G.H.; Zhang, J.L., 2015:
Modeling for waste management associated with environmental-impact abatement under uncertainty

Rambaldi, M.; Pennesi, P.; Lillo, F., 2015:
Modeling foreign exchange market activity around macroeconomic news: Hawkes-process approach

Xiao, Y.; Zhang, X.; Ji, P., 2016:
Modeling forest fire occurrences using count-data mixed models in Qiannan autonomous prefecture of Guizhou province in China

Kazdoba, T.M.; Leach, P.T.; Silverman, J.L.; Crawley, J.N., 2015:
Modeling fragile X syndrome in the Fmr1 knockout mouse

Farghaly, M.A.; Akram, M.Nadeem.; Halvorsen, E., 2016:
Modeling framework for piezoelectrically actuated MEMS tunable lenses

Park, S.Hyuk.; Park, B.; Shon, H.Kyong.; Kim, S., 2016:
Modeling full-scale osmotic membrane bioreactor systems with high sludge retention and low salt concentration factor for wastewater reclamation

Masso, M., 2015:
Modeling functional changes to Escherichia coli thymidylate synthase upon single residue replacements: a structure-based approach

Alfano, L.N.; Yin, H.; Dvorchik, I.; Maus, E.G.; Flanigan, K.M.; Mendell, J.R.; Lowes, L.P., 2016:
Modeling functional decline over time in sporadic inclusion body myositis

Marín-Benito, Jús.María.; Rodríguez-Cruz, Mía.Sonia.; Sánchez-Martín, Mía.Jesús.; Mamy, L., 2016:
Modeling fungicides mobility in undisturbed vineyard soil cores unamended and amended with spent mushroom substrates

Han, H.; Hwang, Y.; Ha, S.Ryong.; Kim, B.Sik., 2015:
Modeling future land use scenarios in South Korea: applying the IPCC special report on emissions scenarios and the SLEUTH model on a local scale

Li, Y.; O'Connor, G.T.; Dupuis, Jée.; Kolaczyk, E., 2016:
Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies

Michel, D., 2016:
Modeling generic aspects of ideal fibril formation

Lu, Y.; Vandehaar, M.J.; Spurlock, D.M.; Weigel, K.A.; Armentano, L.E.; Staples, C.R.; Connor, E.E.; Wang, Z.; Coffey, M.; Veerkamp, R.F.; de Haas, Y.; Tempelman, R.J., 2016:
Modeling genetic and nongenetic variation of feed efficiency and its partial relationships between component traits as a function of management and environmental factors

Eritja, Núria.; Santacana, M.; Maiques, O.; Gonzalez-Tallada, X.; Dolcet, X.; Matias-Guiu, X., 2016:
Modeling glands with PTEN deficient cells and microscopic methods for assessing PTEN loss: endometrial cancer as a model

Morrison, J.C.; Cepurna, W.O.; Johnson, E.C., 2016:
Modeling glaucoma in rats by sclerosing aqueous outflow pathways to elevate intraocular pressure

Bergman, S.; Lezon, T.R., 2016:
Modeling global changes induced by local perturbations to the HIV-1 capsid

Ippolito, A.; Kattwinkel, M.; Rasmussen, J.J.; Schäfer, R.B.; Fornaroli, R.; Liess, M., 2015:
Modeling global distribution of agricultural insecticides in surface waters

Li, Y.; Chow, C.C.; Courville, A.B.; Sumner, A.E.; Periwal, V., 2016:
Modeling glucose and free fatty acid kinetics in glucose and meal tolerance test

Schneider, D.W., 2015:
Modeling graded response congruency effects in task switching

Wheeler, D.C.; Nolan, B.T.; Flory, A.R.; DellaValle, C.T.; Ward, M.H., 2016:
Modeling groundwater nitrate concentrations in private wells in Iowa

Ghelichi, R.; Kamrin, K., 2016:
Modeling growth paths of interacting crack pairs in elastic media

Quintanilla, F.Hernando.; Lowe, M.J.S.; Craster, R.V., 2015:
Modeling guided elastic waves in generally anisotropic media using a spectral collocation method

Silveira, T.C.L.; Gama, A.M.S.; Alves, T.P.; Fontoura, N.F., 2017:
Modeling habitat suitability of the invasive clam Corbicula fluminea in a Neotropical shallow lagoon, southern Brazil

van den Berg, T.; Korver, R.A.; Testerink, C.; Ten Tusscher, K.H.W.J., 2017:
Modeling halotropism: a key role for root tip architecture and reflux loop remodeling in redistributing auxin

Pearson, A.T.; Jackson, T.L.; Nör, J.E., 2017:
Modeling head and neck cancer stem cell-mediated tumorigenesis

Wilson, N.; Nghiem, N.; Eyles, H.; Mhurchu, C.Ni.; Shields, E.; Cobiac, L.J.; Cleghorn, C.L.; Blakely, T., 2016:
Modeling health gains and cost savings for ten dietary salt reduction targets

Whitfield, G.P.; Wendel, A.M., 2015:
Modeling health impacts of the transportation built environment: challenges and opportunities

Lu, H-Min.; Wei, C-Ping.; Hsiao, F-Yuan., 2017:
Modeling healthcare data using multiple-channel latent Dirichlet allocation

Mancini, M.; Calcagnini, G.; Mattei, E.; Censi, F.; Bozzali, M.; Barbieri, R., 2015:
Modeling heart beat dynamics and fMRI signals during carotid stimulation by neck suction

Soliński, M.; Gierałtowski, J.; Żebrowski, J., 2016:
Modeling heart rate variability including the effect of sleep stages

Gebremedhin, K.G.; Wu, B., 2017:
Modeling heat loss from the udder of a dairy cow

Carabaño, M.J.; Logar, B.; Bormann, J.; Minet, J.; Vanrobays, M-L.; Díaz, C.; Tychon, B.; Gengler, N.; Hammami, H., 2017:
Modeling heat stress under different environmental conditions

Tan, K.; Cheng, X.; Cheng, X., 2016 :
Modeling hemispherical reflectance for natural surfaces based on terrestrial laser scanning backscattered intensity data

Chen, Y.; Canton, G.; Kerwin, W.S.; Chiu, B., 2017:
Modeling hemodynamic forces in carotid artery based on local geometric features

Cheng, L.; Li, F.; Bility, M.T.; Murphy, C.M.; Su, L., 2016:
Modeling hepatitis B virus infection, immunopathology and therapy in mice

Scott, N.; Hellard, M.; McBryde, E.Sue., 2016:
Modeling hepatitis C virus transmission among people who inject drugs: Assumptions, limitations and future challenges

Espinosa Angarica, V.; Del Sol, A., 2017:
Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation

Voronin, A.A.; Lanin, A.A.; Zheltikov, A.M., 2016:
Modeling high-peak-power few-cycle field waveform generation by optical parametric amplification in the long-wavelength infrared

Ranganathan, R.; Rokkam, S.; Desai, T.; Keblinski, P.; Cross, P.; Burnes, R., 2015:
Modeling high-temperature diffusion of gases in micro and mesoporous amorphous carbon

Ackley, S.F.; Liu, F.; Porco, T.C.; Pepperell, C.S., 2015:
Modeling historical tuberculosis epidemics among Canadian First Nations: effects of malnutrition and genetic variation

Migale, R.; MacIntyre, D.A.; Cacciatore, S.; Lee, Y.S.; Hagberg, H.; Herbert, B.R.; Johnson, M.R.; Peebles, D.; Waddington, S.N.; Bennett, P.R., 2017:
Modeling hormonal and inflammatory contributions to preterm and term labor using uterine temporal transcriptomics

Vugrin, E.D.; Verzi, S.J.; Finley, P.D.; Turnquist, M.A.; Griffin, A.R.; Ricci, K.A.; Wyte-Lake, T., 2015:
Modeling hospitals' adaptive capacity during a loss of infrastructure services

Kiskowski, M.; Chowell, G., 2016:
Modeling household and community transmission of Ebola virus disease: Epidemic growth, spatial dynamics and insights for epidemic control

van Roekel, E.H.; Bours, M.J.L.; Breedveld-Peters, Jé.J.L.; Willems, P.J.B.; Meijer, K.; Kant, I.; van den Brandt, P.A.; Beets, G.L.; Sanduleanu, S.; Weijenberg, M.P., 2016:
Modeling how substitution of sedentary behavior with standing or physical activity is associated with health-related quality of life in colorectal cancer survivors

Unger, C.; Kramer, N.; Walzl, A.; Scherzer, M.; Hengstschläger, M.; Dolznig, H., 2015:
Modeling human carcinomas: physiologically relevant 3D models to improve anti-cancer drug development

Baek, Y.; Shim, J.Eun.; Song, S., 2018:
Dietary intake of fat and fatty acids by 1-5-year-old children in Korea: a cross-sectional study based on data from the sixth Korea National Health and Nutrition Examination Survey

Schweiger, P.J.; Jensen, K.B., 2016:
Modeling human disease using organotypic cultures

Zon, L., 2017:
Modeling human diseases: an education in interactions and interdisciplinary approaches

Kuc, R.; Kuc, V., 2016:
Modeling human echolocation of near-range targets with an audible sonar

Twitchell, E.L.; Tin, C.; Wen, K.; Zhang, H.; Becker-Dreps, S.; Azcarate-Peril, M.Andrea.; Vilchez, S.; Li, G.; Ramesh, A.; Weiss, M.; Lei, S.; Bui, T.; Yang, X.; Schultz-Cherry, S.; Yuan, L., 2016:
Modeling human enteric dysbiosis and rotavirus immunity in gnotobiotic pigs

Radigan, K.A.; Misharin, A.V.; Chi, M.; Budinger, G.Scott., 2015:
Modeling human influenza infection in the laboratory

Ringelhan, M.; Reisinger, F.; Yuan, D.; Weber, A.; Heikenwalder, M., 2016:
Modeling human liver cancer heterogeneity: virally induced transgenic models and mouse genetic models of chronic liver inflammation

Snoeck, H-Willem., 2015:
Modeling human lung development and disease using pluripotent stem cells

Ben-Zvi, D.; Melton, D.A., 2015:
Modeling human nutrition using human embryonic stem cells

Clark, T.K.; Newman, M.C.; Oman, C.M.; Merfeld, D.M.; Young, L.R., 2015:
Modeling human perception of orientation in altered gravity

Fard, F.S.; Hollensen, P.; Heinke, D.; Trappenberg, T.P., 2016:
Modeling human target reaching with an adaptive observer implemented with dynamic neural fields

Mattoni, A.; Filippetti, A.; Caddeo, C., 2016:
Modeling hybrid perovskites by molecular dynamics

Sanaa, A.; Ben Abid, S.; Boulila, A.; Messaoud, C.; Boussaid, M.; Ben Fadhel, N., 2015:
Modeling hydrochory effects on the Tunisian island populations of Pancratium maritimum L. using colored Petri nets

Frick, K.K.; Krieger, N.S.; Bushinsky, D.A., 2016:
Modeling hypercalciuria in the genetic hypercalciuric stone-forming rat

Lazarevic, I.; Engelhardt, B., 2016:
Modeling immune functions of the mouse blood-cerebrospinal fluid barrier in vitro: primary rather than immortalized mouse choroid plexus epithelial cells are suited to study immune cell migration across this brain barrier

Reyes-Silveyra, J.; Mikler, A.R., 2016:
Modeling immune response and its effect on infectious disease outbreak dynamics

Suwannatrai, A.; Pratumchart, K.; Suwannatrai, K.; Thinkhamrop, K.; Chaiyos, J.; Kim, C.S.; Suwanweerakamtorn, R.; Boonmars, T.; Wongsaroj, T.; Sripa, B., 2016:
Modeling impacts of climate change on the potential distribution of the carcinogenic liver fluke, Opisthorchis viverrini, in Thailand

Vishal, V.; Leung, J.Y., 2016:
Modeling impacts of subscale heterogeneities on dispersive solute transport in subsurface systems

Kananizadeh, N.; Chokejaroenrat, C.; Li, Y.; Comfort, S., 2015:
Modeling improved ISCO treatment of low permeable zones via viscosity modification: assessment of system variables

Meltzer, M.I.; Santibanez, S.; Fischer, L.S.; Merlin, T.L.; Adhikari, B.B.; Atkins, C.Y.; Campbell, C.; Fung, I.Chun-Hai.; Gambhir, M.; Gift, T.; Greening, B.; Gu, W.; Jacobson, E.U.; Kahn, E.B.; Carias, C.; Nerlander, L.; Rainisch, G.; Shankar, M.; Wong, K.; Washington, M.L., 2017:
Modeling in Real Time During the Ebola Response

Mukherjee, D.; Royce, S.G.; Sarkar, S.; Thorley, A.; Schwander, S.; Ryan, M.P.; Porter, A.E.; Chung, K.Fan.; Tetley, T.D.; Zhang, J.; Georgopoulos, P.G., 2014:
Modeling in vitro cellular responses to silver nanoparticles

Kim, J-Woo.; Lee, J-Kwang.; Baik, M-Hoon.; Jeong, J., 2015:
Modeling in-situ transport of uranine and colloids in the fracture network in KURT

Yu, D.; Yan, W.; Chen, N.; Peng, B.; Hong, H.; Zhuo, G., 2016:
Modeling increased riverine nitrogen export: Source tracking and integrated watershed-coast management

Ratcliff, R.; Thompson, C.A.; McKoon, G., 2016:
Modeling individual differences in response time and accuracy in numeracy

Zoccolotti, P.; De Luca, M.; Marinelli, C.V.; Spinelli, D., 2014:
Modeling individual differences in text reading fluency: a different pattern of predictors for typically developing and dyslexic readers

Shiue, I., 2017:
Modeling indoor TV/screen viewing and adult physical and mental health: Health Survey for England, 2012

Meier, R.; Schindler, C.; Eeftens, M.; Aguilera, I.; Ducret-Stich, R.E.; Ineichen, A.; Davey, M.; Phuleria, H.C.; Probst-Hensch, N.; Tsai, M-Yi.; Künzli, N., 2016:
Modeling indoor air pollution of outdoor origin in homes of SAPALDIA subjects in Switzerland

Romano, Véria.; Duboscq, J.; Sarabian, Cécile.; Thomas, E.; Sueur, Cédric.; MacIntosh, A.J.J., 2017:
Modeling infection transmission in primate networks to predict centrality-based risk

Heesterbeek, H.; Anderson, R.M.; Andreasen, V.; Bansal, S.; De Angelis, D.; Dye, C.; Eames, K.T.D.; Edmunds, W.John.; Frost, S.D.W.; Funk, S.; Hollingsworth, T.Deirdre.; House, T.; Isham, V.; Klepac, P.; Lessler, J.; Lloyd-Smith, J.O.; Metcalf, C.Jessica.E.; Mollison, D.; Pellis, L.; Pulliam, J.R.C.; Roberts, M.G.; Viboud, C.; Arinaminpathy, N.; Ball, F.; Bogich, T.; Gog, J.; Grenfell, B.; Lloyd, A.L.; Mclean, A.; O'Neill, P.; Pearson, C.; Riley, S.; Tomba, G.Scalia.; Trapman, P.; Wood, J., 2015:
Modeling infectious disease dynamics in the complex landscape of global health

Bartfeld, S., 2016:
Modeling infectious diseases and host-microbe interactions in gastrointestinal organoids

Nortey, E.Nn.; Ngoh, D.D.; Doku-Amponsah, K.; Ofori-Boateng, K., 2015:
Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models

Medlock, S.; Wyatt, J.C.; Patel, V.L.; Shortliffe, E.H.; Abu-Hanna, A., 2017:
Modeling information flows in clinical decision support: key insights for enhancing system effectiveness

Ben-Arye, E.; Dagash, J.; Silbermann, M.; Saad, B.; Steiner, M.; Popper-Giveon, A.; Lev, E.; Agbarya, A.; Sela, G.Bar.; Karkabi, K.; Schiff, E., 2015:
Modeling integrative oncology care program for Arab patients in north Israel: towards quality of life improvement during chemotherapy

Dziak, J.J.; Li, R.; Tan, X.; Shiffman, S.; Shiyko, M.P., 2016:
Modeling intensive longitudinal data with mixtures of nonparametric trajectories and time-varying effects

Al Garalleh, H.; Thamwattana, N.; Cox, B.J.; Hill, J.M., 2016:
Modeling interactions between C₆₀ antiviral compounds and HIV protease

Korkosh, V.S.; Zhorov, B.S.; Tikhonov, D.B., 2017:
Modeling interactions between blocking and permeant cations in the NavMs channel

Niu, M.; Blackwell, P.G.; Skarin, A., 2017:
Modeling interdependent animal movement in continuous time

Schorge, V.; Grossjohann, R.; Schönekess, H.C.; Herbst, Jörg.; Bockholdt, B.; Ekkernkamp, A.; Frank, M., 2017:
Modeling internal ballistics of gas combustion guns

Astley, R.A.; Coburn, P.S.; Parkunan, S.Madhumathi.; Callegan, M.C., 2018:
Modeling intraocular bacterial infections

Ishizuka, W.; Goto, S., 2012:
Modeling intraspecific adaptation of Abies sachalinensis to local altitude and responses to global warming, based on a 36-year reciprocal transplant experiment

Greene, J.M.; Levy, D.; Fung, K.Leung.; Souza, P.S.; Gottesman, M.M.; Lavi, O., 2015 :
Modeling intrinsic heterogeneity and growth of cancer cells

Annunziato, S.; Kas, S.M.; Nethe, M.; Yücel, H.; Del Bravo, J.; Pritchard, C.; Bin Ali, R.; van Gerwen, B.; Siteur, Børn.; Drenth, A.Paulien.; Schut, E.; van de Ven, M.; Boelens, M.C.; Klarenbeek, S.; Huijbers, I.J.; van Miltenburg, M.H.; Jonkers, J., 2017:
Modeling invasive lobular breast carcinoma by CRISPR/Cas9-mediated somatic genome editing of the mammary gland

Adiban, J.; Jamali, Y.; Rafii-Tabar, H., 2016:
Modeling ion permeation through a bacterial voltage-gated calcium channel Ca V Ab using molecular dynamics simulations

Koopmann, T.T.; Hamilton, R.M., 2016:
Modeling junctional dysrhythmias: Disassembling the JET engine

Nardini, J.T.; Chapnick, D.A.; Liu, X.; Bortz, D.M., 2017:
Modeling keratinocyte wound healing dynamics: Cell-cell adhesion promotes sustained collective migration

Wang, Q.; Liu, S.; Yang, G.; Chen, J., 2017:
Modeling laccase-induced lignin removal in prehydrolysis liquor from kraft-based dissolving pulp production

de Moura Bell, J.M.L.N.; Aquino, L.F.M.C.; Liu, Y.; Cohen, J.L.; Lee, H.; de Melo Silva, V.L.; Rodrigues, M.I.; Barile, D., 2017:
Modeling lactose hydrolysis for efficiency and selectivity: Toward the preservation of sialyloligosaccharides in bovine colostrum whey permeate

Qiang, Y.; Lam, N.S.N., 2015:
Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata

Bende, A.; Toşa, V., 2015:
Modeling laser induced molecule excitation using real-time time-dependent density functional theory: application to 5- and 6-benzyluracil

Engelmann, J.; Walther, T.; Grant, K.; Chicca, E.; Gómez-Sena, L., 2018:
Modeling latency code processing in the electric sense: from the biological template to its VLSI implementation

Jacquemet, V., 2016:
Modeling left and right atrial contributions to the ECG: A dipole-current source approach

Coutte, Fçois.; Niehren, J.; Dhali, D.; John, M.; Versari, C.; Jacques, P., 2016:
Modeling leucine's metabolic pathway and knockout prediction improving the production of surfactin, a biosurfactant from Bacillus subtilis

Greathouse, K.M.; Palladino, S.P.; Dong, C.; Helton, E.S.; Ubogu, E.E., 2016:
Modeling leukocyte trafficking at the human blood-nerve barrier in vitro and in vivo geared towards targeted molecular therapies for peripheral neuroinflammation

Ye, Z.; Wang, C.; Yu, Y.; Shi, X.; Wang, W., 2017:
Modeling level-of-safety for bus stops in China

Paoletta, S.; Sabbadin, D.; von Kügelgen, I.; Hinz, S.; Katritch, V.; Hoffmann, K.; Abdelrahman, A.; Straßburger, J.; Baqi, Y.; Zhao, Q.; Stevens, R.C.; Moro, S.; Müller, C.E.; Jacobson, K.A., 2016:
Modeling ligand recognition at the P2Y12 receptor in light of X-ray structural information

Ruiz-Martínez, A.; Serralta, J.; Seco, A.; Ferrer, J., 2016:
Modeling light and temperature influence on ammonium removal by Scenedesmus sp. under outdoor conditions

Li, J.; Zhu, T.C., 2007:
Modeling light fluence rate distribution in optically heterogeneous prostate photodynamic therapy using a kernel method

Zubko, E., 2015:
Modeling light scattering by forsterite particles

Hu, Z.; Ratner, M.A.; Seideman, T., 2014 :
Modeling light-induced charge transfer dynamics across a metal-molecule-metal junction: bridging classical electrodynamics and quantum dynamics

Lansford, K.L.; Berisha, V.; Utianski, R.L., 2018:
Modeling listener perception of speaker similarity in dysarthria

Elliott, S.J.; Cheer, J., 2015:
Modeling local active sound control with remote sensors in spatially random pressure fields

Olsbjerg, M.; Christensen, K.Bang., 2016:
Modeling local dependence in longitudinal IRT models

Jiang, Y.; Rastetter, E.B.; Shaver, G.R.; Rocha, A.V.; Zhuang, Q.; Kwiatkowski, B.L., 2016:
Modeling long-term changes in tundra carbon balance following wildfire, climate change, and potential nutrient addition

Hajna, Zófia.; Szabadfi, K.; Balla, Z.; Biró, Z.; Degrell, Péter.; Molnár, Gő.A.; Kőszegi, Tás.; Tékus, Véria.; Helyes, Z.; Dobos, Aás.; Farkas, Sándor.; Szűcs, G.; Gábriel, Róbert.; Pintér, E., 2016:
Modeling long-term diabetes and related complications in rats

Bao, Z.; Haberer, C.; Maier, U.; Beckingham, B.; Amos, R.T.; Grathwohl, P., 2016:
Modeling long-term uptake and re-volatilization of semi-volatile organic compounds (SVOCs) across the soil-atmosphere interface

Souza, M.; Eisenmann, J.; Santos, F.; Gomes, T.; Pereira, S.; Forjaz, C.; Maia, Jé., 2017:
Modeling longitudinal changes in hypertensive and waist phenotype: The oporto growth, health, and performance study

Riddle, D.L.; Dumenci, L., 2016:
Modeling longitudinal osteoarthritis data to identify homogeneous subgroups: opportunities and challenges in a burgeoning literature

Sun, S.; Guan, J-Lin., 2016 :
Modeling lymphangiosarcoma in mice

Rambo, R.P.; Tainer, J.A., 2016:
Modeling macromolecular motions by x-ray-scattering-constrained molecular dynamics

Martínez, M.Di.Pietro.; Milano, J.; Eddrief, M.; Marangolo, M.; Bustingorry, S., 2016:
Modeling magnetization curves in magnetic thin films with striped patterns

Goychuk, I., 2016:
Modeling magnetosensitive ion channels in the viscoelastic environment of living cells

Smolen, P., 2015:
Modeling maintenance of long-term potentiation in clustered synapses: long-term memory without bistability

Mutua, J.M.; Wang, F-Bin.; Vaidya, N.K., 2016:
Modeling malaria and typhoid fever co-infection dynamics

Daniels, R.F.; Schaffner, S.F.; Wenger, E.A.; Proctor, J.L.; Chang, H-Han.; Wong, W.; Baro, N.; Ndiaye, D.; Fall, F.Ba.; Ndiop, M.; Ba, M.; Milner, D.A.; Taylor, T.E.; Neafsey, D.E.; Volkman, S.K.; Eckhoff, P.A.; Hartl, D.L.; Wirth, D.F., 2015:
Modeling malaria genomics reveals transmission decline and rebound in Senegal

Siu, E.; Ploss, A., 2015:
Modeling malaria in humanized mice: opportunities and challenges

Montévil, Mël.; Speroni, L.; Sonnenschein, C.; Soto, A.M., 2016:
Modeling mammary organogenesis from biological first principles: Cells and their physical constraints

Sharma, A.N.; Fries, G.R.; Galvez, J.F.; Valvassori, S.S.; Soares, J.C.; Carvalho, Aé.F.; Quevedo, J., 2016:
Modeling mania in preclinical settings: A comprehensive review

Glenn, G.M.; Fries, L.F.; Smith, G.; Kpamegan, E.; Lu, H.; Guebre-Xabier, M.; Hickman, S.P.; Flyer, D., 2016:
Modeling maternal fetal RSV F vaccine induced antibody transfer in guinea pigs

Marshall, W.F.; Fung, J.C., 2016:
Modeling meiotic chromosome pairing: nuclear envelope attachment, telomere-led active random motion, and anomalous diffusion

Yamazaki, T.; Nagao, S.; Lennon, W.; Tanaka, S., 2015:
Modeling memory consolidation during posttraining periods in cerebellovestibular learning

Koebele, S.V.; Bimonte-Nelson, H.A., 2016:
Modeling menopause: The utility of rodents in translational behavioral endocrinology research

Kakiuchi, T.; Takahara, T.; Kasugai, Y.; Arita, K.; Yoshida, N.; Karube, K.; Suguro, M.; Matsuo, K.; Nakanishi, H.; Kiyono, T.; Nakamura, S.; Osada, H.; Sekido, Y.; Seto, M.; Tsuzuki, S., 2016:
Modeling mesothelioma utilizing human mesothelial cells reveals involvement of phospholipase-C beta 4 in YAP-active mesothelioma cell proliferation

Pagán, Jé.; Risco-Martín, Jé.L.; Moya, Jé.M.; Ayala, Jé.L., 2018:
Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases

Esser, D.S.; Leveau, J.H.J.; Meyer, K.M., 2016:
Modeling microbial growth and dynamics

Gompper, G.; Fedosov, D.A., 2016:
Modeling microcirculatory blood flow: current state and future perspectives

Bradford, S.A.; Wang, Y.; Kim, H.; Torkzaban, S.; Šimůnek, J., 2015:
Modeling microorganism transport and survival in the subsurface

de Chiusole, D.; Stefanutti, L.; Anselmi, P.; Robusto, E., 2016:
Modeling missing data in knowledge space theory

Johnson, A.N.; Hromadka, T.V., 2015:
Modeling mixed boundary conditions in a Hilbert space with the complex variable boundary element method (CVBEM)

Cheng, L.; Chen, X.; Wei, M.; Wu, J.; Hou, X., 2015:
Modeling mode choice behavior incorporating household and individual sociodemographics and travel attributes based on rough sets theory

Schwantes, C.R.; Pande, V.S., 2016:
Modeling molecular kinetics with tICA and the kernel trick

Nascimento, D.R.; DePrince, A.Eugene., 2015:
Modeling molecule-plasmon interactions using quantized radiation fields within time-dependent electronic structure theory

Messina, B.G.; Dutta, N.M.; Silvestri, M.M.; Diulio, A.R.; Garza, K.B.; Murphy, J.G.; Correia, C.J., 2016:
Modeling motivations for non-medical use of prescription drugs

Huch, M.; Koo, B-Kyoung., 2016:
Modeling mouse and human development using organoid cultures

Gratacap, R.L.; Bergeron, A.C.; Wheeler, R.T., 2015:
Modeling mucosal candidiasis in larval zebrafish by swimbladder injection

Phan, D.; Wodarz, D., 2016:
Modeling multiple infection of cells by viruses: Challenges and insights

D'Acunto, B.; Frunzo, L.; Klapper, I.; Mattei, M.R., 2016:
Modeling multispecies biofilms including new bacterial species invasion

Son, L.Hoang.; Louati, A., 2017:
Modeling municipal solid waste collection: A generalized vehicle routing model with multiple transfer stations, gather sites and inhomogeneous vehicles in time windows

Cook, B.D., 2015:
Modeling murine yolk sac hematopoiesis with embryonic stem cell culture systems

Palladino, J.L., 2016:
Modeling muscle's nonlinear viscoelastic dynamics

Sakurai, H., 2016:
Modeling muscular diseases by patient-derived iPS cells

Morotti, A.; Rocca, S.; Carrà, G.; Saglio, G.; Brancaccio, M., 2016:
Modeling myeloproliferative neoplasms: From mutations to mouse models and back again

Dale, A.L.; Casman, E.A.; Lowry, G.V.; Lead, J.R.; Viparelli, E.; Baalousha, M., 2015:
Modeling nanomaterial environmental fate in aquatic systems

Grobler, A.; Perez Sierra, Z.; Viljoen, H.J., 2016:
Modeling nanoparticle delivery of TB drugs to granulomas

Curtis, E.M.; Bahrami, A.H.; Weikl, T.R.; Hall, C.K., 2016:
Modeling nanoparticle wrapping or translocation in bilayer membranes

Lei, H.; Mundy, C.J.; Schenter, G.K.; Voulgarakis, N.K., 2015:
Modeling nanoscale hydrodynamics by smoothed dissipative particle dynamics

Bujarski, S.; Roche, D.J.O.; Sheets, E.S.; Krull, J.L.; Guzman, I.; Ray, L.A., 2016 :
Modeling naturalistic craving, withdrawal, and affect during early nicotine abstinence: A pilot ecological momentary assessment study

Yan, W.; Hu, Z.; Zhao, Y.; Zhang, X.; Fan, Y.; Shi, P.; He, Y.; Yu, G.; Li, Y., 2015:
Modeling net ecosystem carbon exchange of alpine grasslands with a satellite-driven model

Leiva, Víctor.; Tejo, M.; Guiraud, P.; Schmachtenberg, O.; Orio, P.; Marmolejo-Ramos, F., 2016:
Modeling neural activity with cumulative damage distributions

S.H.laire, M.A.; Rüger, M.; Fratelli, F.; Hull, J.T.; Phillips, A.J.K.; Lockley, S.W., 2016:
Modeling neurocognitive decline and recovery during repeated cycles of extended sleep and chronic sleep deficiency

Cope, Z.A.; Powell, S.B.; Young, J.W., 2016:
Modeling neurodevelopmental cognitive deficits in tasks with cross-species translational validity

Fujimori, K.; Tezuka, T.; Ishiura, H.; Mitsui, J.; Doi, K.; Yoshimura, J.; Tada, H.; Matsumoto, T.; Isoda, M.; Hashimoto, R.; Hattori, N.; Takahashi, T.; Morishita, S.; Tsuji, S.; Akamatsu, W.; Okano, H., 2017:
Modeling neurological diseases with induced pluripotent cells reprogrammed from immortalized lymphoblastoid cell lines

Shu Kong; Zhuolin Jiang; Qiang Yang, 2015:
Modeling neuron selectivity over simple midlevel features for image classification

Kuznetsov, I.A.; Kuznetsov, A.V., 2016:
Modeling neuropeptide transport in various types of nerve terminals containing en passant boutons

Skakauskas, V.; Katauskis, P., 2017:
Modeling neutralization of Shiga 2 toxin by A-and B-subunit-specific human monoclonal antibodies

Ghane, E.; Fausey, N.R.; Brown, L.C., 2016 :
Modeling nitrate removal in a denitrification bed

Hu, M.; Chen, D.; Dahlgren, R.A., 2016:
Modeling nitrous oxide emission from rivers: a global assessment

Zheng, J.; Doskey, P.V., 2015:
Modeling nitrous oxide production and reduction in soil through explicit representation of denitrification enzyme kinetics

Curtright, A.; Rosser, M.; Goh, S.; Keown, B.; Wagner, E.; Sharifi, J.; Raible, D.W.; Dhaka, A., 2015:
Modeling nociception in zebrafish: a way forward for unbiased analgesic discovery

Bansal, D.; Aref, A.; Dargush, G.; Delaire, O., 2016:
Modeling non-harmonic behavior of materials from experimental inelastic neutron scattering and thermal expansion measurements

Mariotti, E.; Orton, M.R.; Eerbeek, O.; Ashruf, J.F.; Zuurbier, C.J.; Southworth, R.; Eykyn, T.R., 2016:
Modeling non-linear kinetics of hyperpolarized [1-(13)C] pyruvate in the crystalloid-perfused rat heart

Schenone, A.V.; de Araújo Gomes, A.; Culzoni, Mía.J.; Campiglia, Aés.D.; de Araújo, Mário.Cesar.Ugulino.; Goicoechea, Héctor.C., 2015:
Modeling nonbilinear total synchronous fluorescence data matrices with a novel adapted partial least squares method

Patel, D.E.; Geraci, M.; Cortina-Borja, M., 2016:
Modeling normative kinetic perimetry isopters using mixed-effects quantile regression

Pouillot, Régis.; Chen, Y.; Hoelzer, K., 2015:
Modeling number of bacteria per food unit in comparison to bacterial concentration in quantitative risk assessment: impact on risk estimates

Acar, I.; Butt, S.E., 2016:
Modeling nurse-patient assignments considering patient acuity and travel distance metrics

Marze, N.A.; Jeliazkov, J.R.; Roy Burman, S.S.; Boyken, S.E.; DiMaio, F.; Gray, J.J., 2016:
Modeling oblong proteins and water-mediated interfaces with RosettaDock in CAPRI rounds 28-35

Hagey, T.J.; Puthoff, J.B.; Crandell, K.E.; Autumn, K.; Harmon, L.J., 2017:
Modeling observed animal performance using the Weibull distribution

Fadini, R.F.; Cintra, R., 2016:
Modeling occupancy of hosts by mistletoe seeds after accounting for imperfect detectability

González, O.C.; Krishnan, G.P.; Chauvette, S.; Timofeev, I.; Sejnowski, T.; Bazhenov, M., 2015:
Modeling of Age-Dependent Epileptogenesis by Differential Homeostatic Synaptic Scaling

Salem, J-Elie.; El-Aissaoui, M.; Alazard, M.; Hulot, J-Sébastien.; Aissaoui, N.; Le-Heuzey, J-Yves.; Funck-Brentano, C.; Faisy, C.; Urien, S., 2017:
Modeling of Amiodarone Effect on Heart Rate Control in Critically Ill Patients with Atrial Tachyarrhythmias

Haghighatafshar, S.; Ossiansson, E.; Koch, K.; Kjerstadius, H.; Jansen, J.la.Cour.; Davidsson, Åsa., 2015:
Modeling of Anaerobic Digestion with a Focus on Estimation of Hydrolysis Constants at 35, 55, and 60 °C

Venail, F.; Mura, T.; Akkari, M.; Mathiolon, C.; Menjot de Champfleur, S.; Piron, J.Pierre.; Sicard, M.; Sterkers-Artieres, Fçoise.; Mondain, M.; Uziel, A., 2016:
Modeling of Auditory Neuron Response Thresholds with Cochlear Implants

Choi, H.; Song, J.; Park, G.; Kim, J., 2016:
Modeling of Autism Using Organoid Technology

Tango, C.Nkufi.; Wang, J.; Oh, D.Hwan., 2015:
Modeling of Bacillus cereus growth in brown rice submitted to a combination of ultrasonication and slightly acidic electrolyzed water treatment

Ben Rais Lasram, F.; Lasram, F.Ben.Rais.; Hattab, T.; Halouani, G.; Romdhane, M.Salah.; Le Loc'h, Fçois., 2016:
Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering

Diepens, Nël.J.; Van den Heuvel-Greve, M.J.; Koelmans, A.A., 2016:
Modeling of Bioaccumulation in Marine Benthic Invertebrates Using a Multispecies Experimental Approach

Eddins, D.A.; Anand, S.; Camacho, A.; Shrivastav, R., 2016:
Modeling of Breathy Voice Quality Using Pitch-strength Estimates

Roy, T.; Barman, S., 2016:
Modeling of Cancer Classifier to Predict Site of Origin

Sehl, M.E.; Shimada, M.; Landeros, A.; Lange, K.; Wicha, M.S., 2016:
Modeling of Cancer Stem Cell State Transitions Predicts Therapeutic Response

Wang, L.; Zhao, W.; Sun, X.; Zheng, R.; Qu, W., 2016:
Modeling of Causes of Sina Weibo Continuance Intention with Mediation of Gender Effects

Gagnon, L.; Smith, A.F.; Boas, D.A.; Devor, A.; Secomb, T.W.; Sakadžić, S., 2016:
Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation

Sontakke, P.; Jaques, J.; Vellenga, E.; Schuringa, J.Jacob., 2016:
Modeling of Chronic Myeloid Leukemia: An Overview of In Vivo Murine and Human Xenograft Models

Andelic, N.; Arango-Lasprilla, J.Carlos.; Perrin, P.B.; Sigurdardottir, S.; Lu, J.; Landa, L.Olabarrieta.; Forslund, M.V.; Roe, C., 2016:
Modeling of Community Integration Trajectories in the First Five Years after Traumatic Brain Injury

Stasinakis, P.K.; Nicolaou, D., 2016:
Modeling of DNA and protein organization levels with Cn3D software

Agbodjan Prince, J.; Kohl, F.; Sauter, T., 2016:
Modeling of Distributed Sensing of Elastic Waves by Fiber-Optic Interferometry

Sukalovic, V.; Soskic, V.; Kostic-Rajacic, S., 2016:
Modeling of Dopamine D2 Receptor - Overview of 35-Year Evolution

Fernandes, H.C.M.; Vainstein, M.H.; Brito, C., 2015:
Modeling of Droplet Evaporation on Superhydrophobic Surfaces

Chen, K.; Pan, M.; Feng, Z-Gang., 2016:
Modeling of Drug Delivery by A Pump Driven Micro-Needle Array System

Reynaldi, A.; Schlub, T.E.; Piriou, E.; Ogolla, S.; Sumba, O.P.; Moormann, A.M.; Rochford, R.; Davenport, M.P., 2016:
Modeling of EBV Infection and Antibody Responses in Kenyan Infants With Different Levels of Malaria Exposure Shows Maternal Antibody Decay is a Major Determinant of Early EBV Infection

Lu, Z.; Narayanan, S.; Wang, E.N., 2016:
Modeling of Evaporation from Nanopores with Nonequilibrium and Nonlocal Effects

Leng, X.; Chen, X.; Deng, X.; Sutton, M.A.; Lessner, S.M., 2016:
Modeling of Experimental Atherosclerotic Plaque Delamination

Pinkevych, M.; Kent, S.J.; Tolstrup, M.; Lewin, S.R.; Cooper, D.A.; Søgaard, O.S.; Rasmussen, T.A.; Kelleher, A.D.; Cromer, D.; Davenport, M.P., 2016:
Modeling of Experimental Data Supports HIV Reactivation from Latency after Treatment Interruption on Average Once Every 5-8 Days

Guo, C.; Wei, M.; Liu, H., 2016:
Modeling of Gas Production from Shale Reservoirs Considering Multiple Transport Mechanisms

Bengrine, A.; Brochot, E.; Louchet, M.; Herpe, Y.Edouard.; Duverlie, G., 2016:
Modeling of HBV and HCV hepatitis with hepatocyte-like cells

Montalbano, M.; Curcurù, G.; Shirafkan, A.; Vento, R.; Rastellini, C.; Cicalese, L., 2016:
Modeling of Hepatocytes Proliferation Isolated from Proximal and Distal Zones from Human Hepatocellular Carcinoma Lesion

Sripan, P.; Le Coeur, S.; Amzal, B.; Ingsrisawang, L.; Traisathit, P.; Ngo-Giang-Huong, N.; McIntosh, K.; Cressey, T.R.; Sangsawang, S.; Rawangban, B.; Kanjanavikai, P.; Tréluyer, J-Marc.; Jourdain, G.; Lallemant, M.; Urien, Sïk., 2016:
Modeling of In-Utero and Intra-Partum Transmissions to Evaluate the Efficacy of Interventions for the Prevention of Perinatal HIV

Mohammadfam, I.; Soltanzadeh, A.; Moghimbeigi, A.; Akbarzadeh, M., 2016:
Modeling of Individual and Organizational Factors Affecting Traumatic Occupational Injuries Based on the Structural Equation Modeling: A Case Study in Large Construction Industries

Volkov, V.; Perry, C.C., 2016:
Modeling of Infrared-Visible Sum Frequency Generation Microscopy Images of a Giant Liposome

Dobrzyński, L.; Fornalski, K.W.; Socol, Y.; Reszczyńska, J.M., 2016:
Modeling of Irradiated Cell Transformation: Dose- and Time-Dependent Effects

Postnov, D.D.; Marsh, D.J.; Postnov, D.E.; Braunstein, T.H.; Holstein-Rathlou, N-Henrik.; Martens, E.A.; Sosnovtseva, O., 2017:
Modeling of Kidney Hemodynamics: Probability-Based Topology of an Arterial Network

Pelligand, L.; Soubret, A.; King, J.N.; Elliott, J.; Mochel, J.P., 2016:
Modeling of Large Pharmacokinetic Data Using Nonlinear Mixed-Effects: A Paradigm Shift in Veterinary Pharmacology. A Case Study With Robenacoxib in Cats

Finger, H.; Bönstrup, M.; Cheng, B.; Messé, A.; Hilgetag, C.; Thomalla, Götz.; Gerloff, C.; König, P., 2017:
Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path

Kinoshita, N.; Katsukawa, F.; Yamazaki, H., 2016:
Modeling of Longitudinal Changes in Left Ventricular Dimensions among Female Adolescent Runners

Sakharov, D.A.; Rudakovskaya, P.G.; Maltseva, D.V.; Trushkin, E.V.; Tonevitskaya, S.A., 2017:
Modeling of Magnetite Nanoparticles Behavior under Conditions of Microcirculation and Analysis of In Vivo Toxicity

Luo, Y.; Cui, D.; Yu, X.; Chen, S.; Liu, X.; Tang, H.; Wang, X.; Liu, L., 2017:
Modeling of Mechanical Stress Exerted by Cholesterol Crystallization on Atherosclerotic Plaques

Barai, P.; Kumar, A.; Mukherjee, P.P., 2016:
Modeling of Mesoscale Variability in Biofilm Shear Behavior

Zhang, L.; Soeder, D.J., 2017:
Modeling of Methane Migration in Shallow Aquifers from Shale Gas Well Drilling

Long, Q.; Zhao, D.; Fan, W.; Yang, L.; Zhou, Y.; Qi, J.; Wang, X.; Liu, X., 2016:
Modeling of Mitochondrial Donut Formation

Al-Mamun, M.A.; Smith, R.L.; Schukken, Y.H.; Gröhn, Yö.T., 2017:
Modeling of Mycobacterium avium subsp. paratuberculosis dynamics in a dairy herd: An individual based approach

Melezhik, E.O.; Gumenjuk-Sichevska, J.V.; Sizov, F.F., 2016:
Modeling of Noise and Resistance of Semimetal Hg1-xCdxTe Quantum Well used as a Channel for THz Hot-Electron Bolometer

Corrigan, A.M.; Shrestha, R.; Draviam, V.M.; Donald, A.M., 2016:
Modeling of Noisy Spindle Dynamics Reveals Separable Contributions to Achieving Correct Orientation

Ferreira, R.M.; Batagin-Neto, A.; Lavarda, F.C., 2015:
Modeling of Open-Circuit Voltage of Phenyl-C61-Butyric Acid Methyl Ester-Like Based Bulk-Heterojunction Solar Cells

Mellal, L.; Folio, D.; Belharet, K.; Ferreira, A., 2017:
Modeling of Optimal Targeted Therapies Using Drug-Loaded Magnetic Nanoparticles for Liver Cancer

Gaigalas, A.K.; Hunt, F.Y.; Wang, L., 2007:
Modeling of Photochemical Reactions in a Focused Laser Beam

Gaigalas, A.K.; Hunt, F.; Wang, L., 2008:
Modeling of Photochemical Reactions in a Focused Laser Beam, II

Feng, B.; Zeng, G.L., 2015:
Modeling of Pixelated Detector in SPECT Pinhole Reconstruction

Mohanty, P.; Gupta, A.; Bhatnagar, S., 2016:
Modeling of Plasmodium falciparum Telomerase Reverse Transcriptase Ternary Complex: Repurposing of Nucleoside Analog Inhibitors

Turner, M.; Platts, J.A.; Deeth, R.J., 2016:
Modeling of Platinum-Aryl Interaction with Amyloid-β Peptide

Trapeznikov, A.V.; Korzhavin, A.V.; Trapeznikova, V.N.; Nikolkin, V.N., 2016:
Modeling of Processes of Migration and Accumulation of Radionuclides in Freshwater Ecosystems by the Example of the Samson, Lev, Vandras Rivers Related to the Ob-Irtysh River Basin

Romero, A.I.; Bermudez, Jé.M.; Villegas, M.; Dib Ashur, Mía.F.; Parentis, Mónica.L.; Gonzo, E.E., 2017:
Modeling of Progesterone Release from Poly(3-Hydroxybutyrate) (PHB) Membranes

Madan, B.; Kasprzak, J.M.; Tuszynska, I.; Magnus, M.; Szczepaniak, K.; Dawson, W.K.; Bujnicki, J.M., 2016:
Modeling of Protein-RNA Complex Structures Using Computational Docking Methods

Zhang, Z.; Ma, Y., 2016:
Modeling of Rate-Dependent Hysteresis Using a GPO-Based Adaptive Filter

Rosati, G.; Scaramuzza, M.; Pasqualotto, E.; De Toni, A.; Reggiani, C.; Paccagnella, A., 2016:
Modeling of SAM Impedance Onto Gold and Silver Thin-Film Mass-Produced Electrodes and Their Use for Optimization of Lactic Acid Detection

Swart, A.N.; Evers, E.G.; Simons, R.L.L.; Swanenburg, M., 2017:
Modeling of Salmonella Contamination in the Pig Slaughterhouse

Zhang, L.T., 2014:
Modeling of Soft Tissues Interacting with Fluid (Blood or Air) Using the Immersed Finite Element Method

Kordt, P.; Andrienko, D., 2015:
Modeling of Spatially Correlated Energetic Disorder in Organic Semiconductors

Blatter, M.; Sugnaux, M.; Comninellis, C.; Nealson, K.; Fischer, F., 2017:
Modeling of Sustainable Base Production by Microbial Electrolysis Cell

Karampinos, D.C.; Ruschke, S.; Dieckmeyer, M.; Eggers, H.; Kooijman, H.; Rummeny, E.J.; Bauer, J.S.; Baum, T., 2016:
Modeling of T2* decay in vertebral bone marrow fat quantification

Ben Fredj, N.; Woillard, J.Baptiste.; Debord, J.; Chaabane, A.; Boughattas, N.; Marquet, P.; Saint-Marcoux, F.; Aouam, K., 2017:
Modeling of Tacrolimus Exposure in Kidney Transplant According to Posttransplant Time Based on Routine Trough Concentration Data

Zhang, J.; Wang, C.; Ji, L.; Liu, W., 2017:
Modeling of Toxicity-Relevant Electrophilic Reactivity for Guanine with Epoxides: Estimating the Hard and Soft Acids and Bases (HSAB) Parameter as a Predictor

Wellman, T.J.; Winkler, T.; Vidal Melo, M.F., 2016:
Modeling of Tracer Transport Delays for Improved Quantification of Regional Pulmonary ¹⁸F-FDG Kinetics, Vascular Transit Times, and Perfusion

Murovec, T.; Sweeney, D.C.; Latouche, E.; Davalos, R.V.; Brosseau, C., 2016:
Modeling of Transmembrane Potential in Realistic Multicellular Structures before Electroporation

Yagudina, R.; Kulikov, A.; Babiy, V.V., 2015:
Modeling of Using Rilpivirine/ Tenofovir/ Emtricitabine In Treatment of Naïve Hiv-1 Infected Patiens

Chen, A.; McKinley, S.A.; Shi, F.; Wang, S.; Mucha, P.J.; Harit, D.; Forest, M.Gregory.; Lai, S.K., 2016:
Modeling of Virion Collisions in Cervicovaginal Mucus Reveals Limits on Agglutination as the Protective Mechanism of Secretory Immunoglobulin A

Li, L-Fei.; Xiang, C.; Qin, K-Rong., 2016:
Modeling of TRPV₄-C₁ -mediated calcium signaling in vascular endothelial cells induced by fluid shear stress and ATP

Hernandez, W.; Méndez, A.; Maldonado-Correa, J.L.; Balleteros, F., 2016:
Modeling of a Robust Confidence Band for the Power Curve of a Wind Turbine

Zhang, J.; Shi, L.; Zhu, S.; Xu, X.; Zhang, X., 2016:
Modeling of a Single-Notch Microfiber Coupler for High-Sensitivity and Low Detection-Limit Refractive Index Sensing

Al-Maskari, N.S.; McAdams, D.A.; Reddy, J.N., 2016:
Modeling of a biological material nacre: Waviness stiffness model

Shen, B.; Pan, B.; Jiao, J.; Xia, C., 2015:
Modeling of a diode four-side symmetrically pumped alkali vapor amplifier

Nadal, Cément.; Pigache, F.; Erhart, Jří., 2015:
Modeling of a ring rosen-type piezoelectric transformer by Hamilton's principle

Kim, E.; Ihm, C.; Kang, W., 2016:
Modeling of aceclofenac metabolism to major metabolites in healthy volunteers

Zelenyak, A-Manuela.; Hamstad, M.A.; Sause, M.G.R., 2015:
Modeling of acoustic emission signal propagation in waveguides

Wang, X.; Wu, M.; Ma, J.; Chen, X.; Hua, L., 2016:
Modeling of acute cadmium toxicity in solution to barley root elongation using biotic ligand model theory

Delebecque, L.; Pelorson, X.; Beautemps, D., 2016:
Modeling of aerodynamic interaction between vocal folds and vocal tract during production of a vowel-voiceless plosive-vowel sequence

Parkinson, J.; Ploeger, B.; Appelkvist, P.; Bogstedt, A.; Dillner Bergstedt, K.; Eketjäll, S.; Visser, S.A.G., 2014:
Modeling of age-dependent amyloid accumulation and γ-secretase inhibition of soluble and insoluble Aβ in a transgenic mouse model of amyloid deposition

Stamenković, L.J.; Antanasijević, D.Z.; Ristić, M.Đ.; Perić-Grujić, A.A.; Pocajt, V.V., 2016:
Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach

Toschkoff, G.; Just, S.; Knop, K.; Kleinebudde, P.; Funke, A.; Djuric, D.; Scharrer, G.; Khinast, J.G., 2016:
Modeling of an Active Tablet Coating Process

Tan, W.; Shi, L.; Chen, X., 2008:
Modeling of an Optical Sensor Based on Whispering Gallery Modes (WGMs) on the Surface Guiding Layer of Glass Filaments

Schmidt, C.; Zimmermann, U.; van Rienen, U., 2016:
Modeling of an optimized electrostimulative hip revision system under consideration of uncertainty in the conductivity of bone tissue

Lognonné, P.; Karakostas, F.; Rolland, L.; Nishikawa, Y., 2016:
Modeling of atmospheric-coupled Rayleigh waves on planets with atmosphere: From Earth observation to Mars and Venus perspectives

Fedotov, N.M.; Oferkin, A.I.; Zhary, S.V., 2015:
Modeling of atrial defibrillation sources on a triangulated sphere

Rubio-Peña, K.; Fontrodona, L.; Aristizábal-Corrales, D.; Torres, S.; Cornes, E.; García-Rodríguez, F.J.; Serrat, Xènia.; González-Knowles, D.; Foissac, S.; Porta-De-La-Riva, M.; Cerón, Ján., 2016:
Modeling of autosomal-dominant retinitis pigmentosa in Caenorhabditis elegans uncovers a nexus between global impaired functioning of certain splicing factors and cell type-specific apoptosis

Meetei, P.Angamba.; Rathore, R.S.; Prabhu, N.Prakash.; Vindal, V., 2016:
Modeling of babesipain-1 and identification of natural and synthetic leads for bovine babesiosis drug development

Li, H.; Zhang, Y.; Ha, V.; Lykotrafitis, G., 2016:
Modeling of band-3 protein diffusion in the normal and defective red blood cell membrane

Cabeza, A.; Piqueras, C.M.; Sobrón, F.; García-Serna, J., 2017:
Modeling of biomass fractionation in a lab-scale biorefinery: Solubilization of hemicellulose and cellulose from holm oak wood using subcritical water

Karanasiou, G.S.; Gatsios, D.A.; Lykissas, M.G.; Stefanou, K.A.; Rigas, G.A.; Lagaris, I.E.; Kostas-Agnantis, I.P.; Gkiatas, I.; Beris, A.E.; Fotiadis, D.I., 2016:
Modeling of blood flow through sutured micro-vascular anastomoses

Kanematsu, N.; Inaniwa, T.; Nakao, M., 2017:
Modeling of body tissues for Monte Carlo simulation of radiotherapy treatments planned with conventional x-ray CT systems

Geszke-Moritz, Młgorzata.; Moritz, Mł., 2017:
Modeling of boldine alkaloid adsorption onto pure and propyl-sulfonic acid-modified mesoporous silicas. A comparative study

Meza-Romero, R.; Benedek, G.; Jordan, K.; Leng, L.; Pantouris, G.; Lolis, E.; Bucala, R.; Vandenbark, A.A., 2016:
Modeling of both shared and distinct interactions between MIF and its homologue D-DT with their common receptor CD74

Sánchez-Machado, D.I.; López-Cervantes, J.; Correa-Murrieta, M.A.; Sánchez-Duarte, R.G., 2017:
Modeling of breakthrough curves for aqueous iron (III) adsorption on chitosan-sodium tripolyphosphate

Szabó, A.; Unterkofler, K.; Mochalski, P.; Jandacka, M.; Ruzsanyi, V.; Szabó, Gábor.; Mohácsi, Árpád.; Teschl, S.; Teschl, G.; King, J., 2016:
Modeling of breath methane concentration profiles during exercise on an ergometer

Salminen, H.; Jalkanen, R., 2015:
Modeling of bud break of Scots pine in northern Finland in 1908-2014

Lavoine, N.; Guillard, Vérie.; Desloges, I.; Gontard, N.; Bras, J., 2016:
Modeling of caffeine release from a cellulosic substrate coated with microfibrillated cellulose

Kashiri, M.; Asgari, A., 2016:
Modeling of carrier dynamics in InGaAs/GaAs self-assembled quantum dot lasers

Lytvynenko, A.S.; Kolotilov, S.V.; Kiskin, M.A.; Eremenko, I.L.; Novotortsev, V.M., 2015:
Modeling of catalytically active metal complex species and intermediates in reactions of organic halides electroreduction

Golestaneh, A.F.; Nadler, B., 2016:
Modeling of cell adhesion and deformation mediated by receptor-ligand interactions

Cho, S.; Choi, Y.Jin.; Zheng, S.; Han, J.; Ko, S.Young.; Park, J-Oh.; Park, S., 2015:
Modeling of chemotactic steering of bacteria-based microrobot using a population-scale approach

Zubova, Y.O.; Bondarenko, N.S.; Sapronova, A.Ja.; Ugrumov, M.V., 2016:
Modeling of chronic selective inhibition of noradrenaline synthesis in the brain of neonatal rats

Kostanyan, A.E., 2015:
Modeling of closed-loop recycling liquid-liquid chromatography: Analytical solutions and model analysis

Vacca, G.M.; Pazzola, M.; Dettori, M.L.; Pira, E.; Malchiodi, F.; Cipolat-Gotet, C.; Cecchinato, A.; Bittante, G., 2016:
Modeling of coagulation, curd firming, and syneresis of milk from Sarda ewes

Pereira, S.P.; Rosman, P.C.C.; Alvarez, C.; Schetini, C.A.F.; Souza, R.O.; Vieira, R.H.S.F., 2015:
Modeling of coastal water contamination in Fortaleza (Northeastern Brazil)

Cao, X.; Zhang, C.; Dong, Y.; Geng, P.; Bai, F.; Bai, G., 2016:
Modeling of cooked starch digestion process using recombinant human pancreatic α-amylase and maltase-glucoamylase for in vitro evaluation of α-glucosidase inhibitors

Zhang, B.; Liu, W.; Zhang, Z.; Qu, Y.; Chen, Z.; Albert, P.S., 2015 :
Modeling of correlated data with informative cluster sizes: An evaluation of joint modeling and within-cluster resampling approaches

Savini, A.; Bartolucci, F.; Fidanza, C.; Rosica, F.; Orlandi, G., 2017:
Modeling of couch transmission in the RayStation treatment planning system

Mäntysaari, P.; Mäntysaari, E.A., 2016:
Modeling of daily body weights and body weight changes of Nordic Red cows

Xu, B.; Wang, Y.; Li, Q., 2016:
Modeling of damage driven fracture failure of fiber post-restored teeth

Chalacheva, P.; Khoo, M.C.K., 2016:
Modeling of deep breath vasoconstriction reflex

Mariani, M.L.; Romero, R.L.; Zalazar, C.S., 2015:
Modeling of degradation kinetic and toxicity evaluation of herbicides mixtures in water using the UV/H2O2 process

Yang, Z.; Yu, G.; Wang, H.; Lu, Q.; Xu, X., 2015:
Modeling of diode pumped metastable rare gas lasers

Khajeh, M.; Moghaddam, Z.Safaei.; Bohlooli, M.; Khajeh, A., 2016:
Modeling of dispersive liquid-liquid microextraction for determination of essential oil from Borago officinalis L. by using combination of artificial neural network and genetic algorithm method

Vikulova, N.A.; Vasil'eva, A.D.; Zamaraev, D.É.; Solov'eva, O.É.; Markhasin, V.S., 2015:
Modeling of disturbances in electrical and mechanical function of cardiomyocytes under acute ischemia

Negoro, R.; Takayama, K.; Nagamoto, Y.; Sakurai, F.; Tachibana, M.; Mizuguchi, H., 2016:
Modeling of drug-mediated CYP3A4 induction by using human iPS cell-derived enterocyte-like cells

Lee, Y.Feng.; Schmidt, M.; Graalfs, H.; Hafner, M.; Frech, C., 2016:
Modeling of dual gradient elution in ion exchange and mixed-mode chromatography

Delouya, G.; Taussky, D.; Nguyen, T.; Jolicoeur, M.; Lambert, C.; Fortin, M.; Bahary, J.; Gauthier-Bizier, S.; Després, P., 2016:
Modeling of early PSA kinetics in intermediate risk prostate cancer

Dreyer, W.; Guhlke, C.; Müller, Rüdiger., 2015:
Modeling of electrochemical double layers in thermodynamic non-equilibrium

Acikel, V.; Uslubas, A.; Atalar, E., 2016:
Modeling of electrodes and implantable pulse generator cases for the analysis of implant tip heating under MR imaging

Roberts, C.C.; Chang, C-en.A., 2016:
Modeling of enhanced catalysis in multienzyme nanostructures: effect of molecular scaffolds, spatial organization, and concentration

Shourian, M.; Moridi, A.; Kaveh, M., 2017:
Modeling of eutrophication and strategies for improvement of water quality in reservoirs

Santharam, L.; Samuthirapandi, A.Balaje.; Easwaran, S.Nanjan.; Mahadevan, S., 2016:
Modeling of exo-inulinase biosynthesis by Kluyveromyces marxianus in fed-batch mode: correlating production kinetics and metabolic heat fluxes

Smoliński, A.; Drobek, L.; Dombek, Václav.; Bąk, A., 2017:
Modeling of experimental data on trace elements and organic compounds content in industrial waste dumps

Salehi, F.; Kashaninejad, M.; Tadayyon, A.; Arabameri, F., 2015:
Modeling of extraction process of crude polysaccharides from Basil seeds (Ocimum basilicum l.) as affected by process variables

Takácsi-Nagy, A.; Kilár, F.; Thormann, W., 2016:
Modeling of formation and prevention of a pure water zone in capillary isoelectric focusing with narrow pH range carrier ampholytes

Mangaraj, S.; Goswami, T.K.; Panda, D.K., 2015:
Modeling of gas transmission properties of polymeric films used for MA packaging of fruits

Kropat, G.; Bochud, Fçois.; Murith, C.; Palacios Gruson, M.; Baechler, Sébastien., 2016:
Modeling of geogenic radon in Switzerland based on ordered logistic regression

Peercy, B.E.; Sherman, A.S.; Bertram, R., 2016:
Modeling of glucose-induced cAMP oscillations in pancreatic β cells: cAMP rocks when metabolism rolls

Hassanpour, S.; Saboonchi, A., 2017:
Modeling of heat transfer in a vascular tissue-like medium during an interstitial hyperthermia process

Arai, S.; Miyauchi, M.; Kurokawa, M., 2015:
Modeling of hematologic malignancies by iPS technology

Krylov, V.V.; Gavrilov, A.V.; Yatchenko, A.M.; Grigoryeva, E.V.; Godkov, I.M.; Arkhipov, I.V.; Boldyreva, E.V.; Archakov, A., 2018:
Modeling of hemodynamic changes in the aneurysm of the middle cerebral artery depending on the pathology of the parent artery

Zhang, Y.; Liou, W.W.; Gupta, V., 2015:
Modeling of high sodium intake effects on left ventricular hypertrophy

Gousset, Sère.; Petit, C.; Michau, V.; Fusco, T.; Robert, C., 2016:
Modeling of high-precision wavefront sensing with new generation of CMT avalanche photodiode infrared detectors

Xiong, L.; Chui, C-Kong.; Fu, Y.; Teo, C-Leong.; Li, Y., 2015:
Modeling of human artery tissue with probabilistic approach

Lee, Y-Ki.; Ng, K-Man.; Tse, H-Fat., 2015:
Modeling of human cardiomyopathy with induced pluripotent stem cells

Mokhtari, G.; Zhang, Q.; Karunanithi, M., 2016:
Modeling of human movement monitoring using Bluetooth Low Energy technology

Beamer, P.I.; Plotkin, K.R.; Gerba, C.P.; Sifuentes, L.Y.; Koenig, D.W.; Reynolds, K.A., 2015:
Modeling of human viruses on hands and risk of infection in an office workplace using micro-activity data

Tanabe, K., 2016:
Modeling of hydrogen/deuterium dynamics and heat generation on palladium nanoparticles for hydrogen storage and solid-state nuclear fusion

Ahmadi, A.; Khaledifar, A.; Etemad, K., 2016:
Modeling of in hospital mortality determinants in myocardial infarction patients, with and without stroke: A national study in Iran

Ahmadi, A.; Soori, H.; Sajjadi, H., 2015:
Modeling of in hospital mortality determinants in myocardial infarction patients, with and without type 2 diabetes, undergoing pharmaco-invasive strategy: the first national report using two approaches in Iran

Kusnyerik, A.; Rozsa, B.; Veress, M.; Szabo, A.; Nemeth, J.; Maak, P., 2015:
Modeling of in vivo acousto-optic two-photon imaging of the retina in the human eye

Waterman, K.C.; Chen, L.; Waterman, P.; MacDonald, B.C.; Monahan, A.P.; Scrivens, G., 2017:
Modeling of in-use stability for tablets and powders in bottles

Lee, S.X.; McLachlan, G.J.; Pyne, S., 2016:
Modeling of inter-sample variation in flow cytometric data with the joint clustering and matching procedure

Shalaeva, D.N.; Dibrova, D.V.; Galperin, M.Y.; Mulkidjanian, A.Y., 2016:
Modeling of interaction between cytochrome c and the WD domains of Apaf-1: bifurcated salt bridges underlying apoptosome assembly

Raunio, H.; Kuusisto, M.; Juvonen, R.O.; Pentikäinen, O.T., 2015:
Modeling of interactions between xenobiotics and cytochrome P450 (CYP) enzymes

Xu, B.; Zhong, H.; Duan, S., 2016:
Modeling of internal carotid artery aneurysm and blood flow simulation

Iivarinen, J.T.; Korhonen, R.K.; Jurvelin, J.S., 2016:
Modeling of interstitial fluid movement in soft tissue under negative pressure--relevance to treatment of tissue swelling

Blanco, M.; Agabriel, J.; Picard, B.; Micol, D.; Jurie, C.; Bauchart, D.; García-Launay, F., 2016:
Modeling of intramuscular lipids in different muscles in bulls, steers, and cows

Poskas, P.; Grigaliuniene, D.; Narkuniene, A.; Kilda, R.; Justinavicius, D., 2018:
Modeling of irradiated graphite (14)C transfer through engineered barriers of a generic geological repository in crystalline rocks

Martins, A.C.V.; Ribeiro, F.W.P.; Zanatta, G.; Freire, V.N.; Morais, S.; de Lima-Neto, P.; Correia, A.N., 2016:
Modeling of laccase inhibition by formetanate pesticide using theoretical approaches

Feng, S-Jin.; Cao, B-Yi.; Zhang, X.; Xie, H-Jian., 2015:
Modeling of leachate recirculation using vertical wells in bioreactor landfills

Fujii, H.; Yamada, Y.; Kobayashi, K.; Watanabe, M.; Hoshi, Y., 2016:
Modeling of light propagation in the human neck for diagnoses of thyroid cancers by diffuse optical tomography

Lee, K-Hee.; Kim, K-Hyun.; Lee, J-Hong.; Yun, J-Yong.; Kim, C-Hee., 2016:
Modeling of long range transport pathways for radionuclides to Korea during the Fukushima Dai-ichi nuclear accident and their association with meteorological circulations

Yamazaki, N.; Kobayashi, Y.; Kikuchi, H.; Isobe, Y.; Lu, X.; Miyashita, T.; Fujie, M.G., 2015:
Modeling of lung's electrical impedance using fractional calculus for analysis of heat generation during RF-ablation

Nechupurenko, D.Iu.; Il'icheva, I.A.; Khodykov, M.V.; Poptsova, M.S.; Nechipurenko, I.D.; Grokhovskiĭ, S.L., 2015:
Modeling of mechanochemical DNA cleavage by action of ultrasound

Mohamed, M.G.A.; Kim, H.; Cho, T-Won., 2015:
Modeling of memristive and memcapacitive behaviors in metal-oxide junctions

Chang, K.; Music, D.; To Baben, M.; Lange, D.; Bolvardi, H.; Schneider, J.M., 2016:
Modeling of metastable phase formation diagrams for sputtered thin films

Dalvi, S.V.; Joshi, J.R., 2015:
Modeling of microbubble dissolution in aqueous medium

Corovic, S.; Markelc, B.; Dolinar, M.; Cemazar, M.; Jarm, T., 2016:
Modeling of microvascular permeability changes after electroporation