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Get PDF Full Texts from EurekaMag Chapter 58330

Chapter 58330 provides scholary research titles of which PDF Full Texts are available through EurekaMag.

Mortazavi, S.Negin.; Geddes, D.; Hassanipour, F., 2015:
Modeling of milk flow in mammary ducts in lactating human female breast

Parsons, N.; Levin, D.A.; van Duin, A.C.T.; Zhu, T., 2014:
Modeling of molecular nitrogen collisions and dissociation processes for direct simulation Monte Carlo

Nemati Aram, T.; Anghel-Vasilescu, P.; Asgari, A.; Ernzerhof, M.; Mayou, D., 2016:
Modeling of molecular photocells: Application to two-level photovoltaic system with electron-hole interaction

Ding, L.; Kurowski, B.G.; He, H.; Alexander, E.S.; Mersha, T.B.; Fardo, D.W.; Zhang, X.; Pilipenko, V.V.; Kottyan, L.; Martin, L.J., 2014:
Modeling of multivariate longitudinal phenotypes in family genetic studies with Bayesian multiplicity adjustment

Iwasaki, L.R.; Liu, H.; Gonzalez, Y.M.; Marx, D.B.; Nickel, J.C., 2016:
Modeling of muscle forces in humans with and without temporomandibular joint disorders

Teich, L.; Kappe, D.; Rempel, T.; Meyer, J.; Schröder, C.; Hütten, A., 2015:
Modeling of nanoparticular magnetoresistive systems and the impact on molecular recognition

Soleymani, S.; Khoo, M.C.K.; Noori, S.; Seri, I., 2016:
Modeling of neonatal hemodynamics during PDA closure

Lushnikov, P.M.; Vladimirova, N., 2015:
Modeling of nonlinear combining of multiple laser beams in Kerr medium

Shen, Y.; Cesnik, C.E.S., 2016:
Modeling of nonlinear interactions between guided waves and fatigue cracks using local interaction simulation approach

Pilou, M.; Vaquero-Moralejo, C.; Jaén, Mía.; Lopez De Ipiña Peña, Jús.; Neofytou, P.; Housiadas, C., 2016:
Modeling of occupational exposure to accidentally released manufactured nanomaterials in a production facility and calculation of internal doses by inhalation

Liu, W.; Zou, D.; Xu, Z., 2015:
Modeling of optical wireless scattering communication channels over broad spectra

Nogaj, T.; Randall, A.; Jimenez, J.; Takacs, I.; Bott, C.; Miller, M.; Murthy, S.; Wett, B., 2015:
Modeling of organic substrate transformation in the high-rate activated sludge process

Rong, P.; Kuehn, D.P.; Shosted, R.K., 2016:
Modeling of oropharyngeal articulatory adaptation to compensate for the acoustic effects of nasalization

Hadlocon, L.S.; Zhao, L.Y.; Bohrer, G.; Kenny, W.; Garrity, S.R.; Wang, J.; Wyslouzil, B.; Upadhyay, J., 2015:
Modeling of particulate matter dispersion from a poultry facility using AERMOD

Wieczerzak, M.; Kudłak, Błażej.; Yotova, G.; Nedyalkova, M.; Tsakovski, S.; Simeonov, V.; Namieśnik, J., 2016:
Modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models

Ippoliti, D.; Gómez, C.; del Mar Morales-Amaral, Mía.; Pistocchi, R.; Fernández-Sevilla, J.M.; Acién, F.Gabriel., 2016:
Modeling of photosynthesis and respiration rate for Isochrysis galbana (T-Iso) and its influence on the production of this strain

Maran, J.Prakash.; Nivetha, C.Vigna.; Priya, B.; Al-Dhabi, N.Abdullah.; Ponmurugan, K.; Manoj, J.Jony.Blessing., 2016 :
Modeling of polysaccharide extraction from Gossypium arboreum L. seed using central composite rotatable design

Li, K.Way.; Wang, C.Wen.; Yu, R., 2015:
Modeling of predictive muscular strength for sustained one-handed carrying task

Kostanyan, A.E., 2016:
Modeling of preparative closed-loop recycling liquid-liquid chromatography with specified duration of sample loading

Lapelosa, M.; Patapoff, T.W.; Zarraga, I.E., 2016:
Modeling of protein-anion exchange resin interaction for the human growth hormone charge variants

Blaszczyk, M.; Kurcinski, M.; Kouza, M.; Wieteska, L.; Debinski, A.; Kolinski, A.; Kmiecik, S., 2016:
Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking

Auslender, I.; Barmashenko, B.; Rosenwaks, S.; Zhdanov, B.; Rotondaro, M.; Knize, R.J., 2015:
Modeling of pulsed K diode pumped alkali laser: Analysis of the experimental results

Lee, D-Ho.; Joo, J-Young.; Lee, S-Kyu., 2015:
Modeling of reflection-type laser-driven white lighting considering phosphor particles and surface topography

Shakiba, B.; Dayeri, M.; Mohammad-Rafiee, F., 2016:
Modeling of ribosome dynamics on a ds-mRNA under an external load

Zinoubi, B.; Vandewalle, H.; Driss, T., 2016:
Modeling of Running Performances in Humans: Comparison of Power Laws and Critical Speed

Kucher, E.O.; Egorov, A.Iu.; Chernikova, N.A.; Filatova, E.V., 2014:
Modeling of schizophrenia with Levodopa + Carbidopa

Oláh, J.; Norris, V.; Ovádi, J., 2015:
Modeling of sensing potency of cytoskeletal systems decorated with metabolic enzymes

Sun, X.; Bao, J.; You, Z.; Chen, X.; Cui, J., 2016:
Modeling of signaling crosstalk-mediated drug resistance and its implications on drug combination

Xu, W.; Chen, W.; Chen, H., 2015:
Modeling of soft interfacial volume fraction in composite materials with complex convex particles

Brites-Neto, Jé.; Duarte, K.Maria.Roncato., 2016:
Modeling of spatial distribution for scorpions of medical importance in the São Paulo State, Brazil

Giorgi, E.; Kreppel, K.; Diggle, P.J.; Caminade, C.; Ratsitorahina, M.; Rajerison, M.; Baylis, M., 2017:
Modeling of spatio-temporal variation in plague incidence in Madagascar from 1980 to 2007

Dudov, S.V., 2016:
Modeling of species distribution using topography and remote sensing data, with vascular plants of the Tukuringra Range low mountain belt (Zeya state Nature Reserve, Amur Region) as a case study

Zhang, W.; Lei, X.; Chen, W.; Xu, H.; Wang, A., 2015:
Modeling of spectral changes in bent fiber Bragg gratings

Josupeit, A.; Kopčo, N.; Hohmann, V., 2016:
Modeling of speech localization in a multi-talker mixture using periodicity and energy-based auditory features

Manganelli, C.L.; Pintus, P.; Bonati, C., 2015:
Modeling of strain-induced Pockels effect in Silicon

Yan, W.; Fang, L.; Heuchel, M.; Kratz, K.; Lendlein, A., 2016:
Modeling of stress relaxation of a semi-crystalline multiblock copolymer and its deformation behavior

Dow, C.F.; Kulessa, B.; Rutt, I.C.; Tsai, V.C.; Pimentel, S.; Doyle, S.H.; van As, D.; Lindbäck, K.; Pettersson, R.; Jones, G.A.; Hubbard, A., 2015:
Modeling of subglacial hydrological development following rapid supraglacial lake drainage

Choi, Y-Hee.; Briollais, L.; Win, A.K.; Hopper, J.; Buchanan, D.; Jenkins, M.; Lakhal-Chaieb, L., 2016:
Modeling of successive cancer risks in Lynch syndrome families in the presence of competing risks using copulas

Chahine, G.L.; Kapahi, A.; Choi, J-Keun.; Hsiao, C-Tsung., 2015:
Modeling of surface cleaning by cavitation bubble dynamics and collapse

Dyshlyuk, A.V.; Vitrik, O.B.; Kulchin, Y.N., 2015:
Modeling of surface plasmon resonance in metalized optical waveguides with low V number by eigenmode expansion method

Huang, C-Yu.; Liang, R., 2015:
Modeling of surface topography in single-point diamond turning machine

Çakir, Yüksel., 2016:
Modeling of synchronization behavior of bursting neurons at nonlinearly coupled dynamical networks

Mølgaard Mortensen, P.; Hansen, T.Willum.; Birkedal Wagner, J.; Degn Jensen, A., 2015:
Modeling of temperature profiles in an environmental transmission electron microscope using computational fluid dynamics

Sabirov, M.A., 2015:
Modeling of temporal and local spatial variability in mixed settlements of Mytilus edulis and Mytilus trossulus

Wang, X.; Wang, G.; Hao, M., 2016:
Modeling of the Bacillus subtilis Bacterial Biofilm Growing on an Agar Substrate

Novoseletsky, V.N.; Volyntseva, A.D.; Shaitan, K.V.; Kirpichnikov, M.P.; Feofanov, A.V., 2016:
Modeling of the Binding of Peptide Blockers to Voltage-Gated Potassium Channels: Approaches and Evidence

Kundrat, M.D.; Autschbach, J., 2009:
Modeling of the Chiroptical Response of Chiral Amino Acids in Solution Using Explicit Solvation and Molecular Dynamics

Haustenne, L.; Bastin, G.; Hols, P.; Fontaine, L., 2016:
Modeling of the ComRS Signaling Pathway Reveals the Limiting Factors Controlling Competence in Streptococcus thermophilus

Gallaher, W.R.; Garry, R.F., 2015:
Modeling of the Ebola virus delta peptide reveals a potential lytic sequence motif

Stolze, L.; Volpin, F., 2015:
Modeling of the Elk river spill 2014

Oyelade, J.; Isewon, I.; Rotimi, S.; Okunoren, I., 2016:
Modeling of the Glycolysis Pathway in Plasmodium falciparum using Petri Nets

Couka, E.; Willot, Fçois.; Jeulin, D.; Ben Achour, M.; Chesnaud, A.; Thorel, A., 2015:
Modeling of the Multiscale Dispersion of Nanoparticles in a Hematite Coating

Fehr, N.; Dietz, C.; Polyhach, Y.; von Hagens, T.; Jeschke, G.; Paulsen, H., 2016:
Modeling of the N-terminal Section and the Lumenal Loop of Trimeric Light Harvesting Complex II (LHCII) by Using EPR

Karamaoun, C.; Van Muylem, A.; Haut, Bît., 2016:
Modeling of the Nitric Oxide Transport in the Human Lungs

Karhu, L.; Turku, A.; Xhaard, H., 2016:
Modeling of the OX1R-orexin-A complex suggests two alternative binding modes

Szaleniec, M.; Heider, J., 2016:
Modeling of the Reaction Mechanism of Enzymatic Radical C-C Coupling by Benzylsuccinate Synthase

Liu, C.; Pineda, E.; Qiao, J.; Crespo, D., 2016:
Modeling of the Sub-Tg Relaxation Spectrum of Pd42.5Ni7.5Cu30P20 Metallic Glass

Polyakov, V.A.; Miltz, J., 2016:
Modeling of the Temperature Effect on Oxygen Absorption by Iron-Based Oxygen Scavengers

Wang, D.; Hu, H.; Wang, Z., 2014:
Modeling of the acoustic field of thermally induced ultrasonic emission from a spherical cavity surface

Dong, R.G.; Welcome, D.E.; McDowell, T.W.; Wu, J.Z., 2013:
Modeling of the biodynamic responses distributed at the fingers and palm of the hand in three orthogonal directions

Mickiewicz, A.; Sarzyńska, J.; Miłostan, M.; Kurzyńska-Kokorniak, A.; Rybarczyk, A.; Łukasiak, P.; Kuliński, T.; Figlerowicz, M.; Błażewicz, J., 2016:
Modeling of the catalytic core of Arabidopsis thaliana Dicer-like 4 protein and its complex with double-stranded RNA

Barminova, H.Y.; Saratovskyh, M.S., 2016:
Modeling of the charge-state separation at ITEP experimental facility for material science based on a Bernas ion source

Fagnani, F.; Pham, T.; Claudepierre, P.; Berenbaum, F.; D.C.alus, T.; Saadoun, C.; Joubert, J-Michel.; Fautrel, B., 2016:
Modeling of the clinical and economic impact of a risk-sharing agreement supporting a treat-to-target strategy in the management of patients with rheumatoid arthritis in France

Colaïtis, A.; Duchateau, G.; Ribeyre, X.; Tikhonchuk, V., 2015:
Modeling of the cross-beam energy transfer with realistic inertial-confinement-fusion beams in a large-scale hydrocode

Denzin, N.; Gerdes, U., 2016:
Modeling of the financial reserves required by the livestock disease compensation fund of Lower Saxony for rebates in the course of disease outbreaks incorporating spatial restriction zones

Kitagawa, T.; Murakami, N.; Nagano, S., 2010:
Modeling of the gap junction of pancreatic β-cells and the robustness of insulin secretion

Lagutina, I.V.; Valentine, V.; Picchione, F.; Harwood, F.; Valentine, M.B.; Villarejo-Balcells, B.; Carvajal, J.J.; Grosveld, G.C., 2015:
Modeling of the human alveolar rhabdomyosarcoma Pax3-Foxo1 chromosome translocation in mouse myoblasts using CRISPR-Cas9 nuclease

Hasenaka, Y.; Okamura, T-aki.; Onitsuka, K., 2016:
Modeling of the hydrophobic microenvironment of water-soluble molybdoenzymes in an aqueous micellar solution

Dolatabadi, Z.; Elhami Rad, A.Hossien.; Farzaneh, V.; Akhlaghi Feizabad, S.Hashem.; Estiri, S.Hossein.; Bakhshabadi, H., 2016:
Modeling of the lycopene extraction from tomato pulps

Garcia, A.; Rodriguez Matas, J.F.; Raimondi, M.T., 2016:
Modeling of the mechano-chemical behaviour of the nuclear pore complex: current research and perspectives

Hedaya, M.A.; Helmy, S.A., 2015:
Modeling of the pharmacokinetic/pharmacodynamic interaction between irbesartan and hydrochlorothiazide in normotensive subjects

Melaun, C.; Werblow, A.; Cunze, S.; Zotzmann, S.; Koch, L.K.; Mehlhorn, H.; Dörge, D.D.; Huber, K.; Tackenberg, O.; Klimpel, S., 2016:
Modeling of the putative distribution of the arbovirus vector Ochlerotatus japonicus japonicus (Diptera: Culicidae) in Germany

Belyaeva, N.E.; Schmitt, F-J.; Paschenko, V.Z.; Riznichenko, G.Yu.; Rubin, A.B., 2016:
Modeling of the redox state dynamics in photosystem II of Chlorella pyrenoidosa Chick cells and leaves of spinach and Arabidopsis thaliana from single flash-induced fluorescence quantum yield changes on the 100 ns-10 s time scale

Sadeghi, M.; Ahmadi, A.; Baradaran, A.; Masoudipoor, N.; Frouzandeh, S., 2015:
Modeling of the relationship between the environmental air pollution, clinical risk factors, and hospital mortality due to myocardial infarction in Isfahan, Iran

Eren, E.; Zamuda, K.; Patton, J.T., 2016:
Modeling of the rotavirus group C capsid predicts a surface topology distinct from other rotavirus species

Li, H.; Zhang, Y., 2015:
Modeling of the viscoelastic behavior of collagen gel from dynamic oscillatory shear measurements

de Jong, J.A.; Wijnant, Y.H.; Wilcox, D.; de Boer, A., 2015:
Modeling of thermoacoustic systems using the nonlinear frequency domain method

Kaynar, Ümit.H.; Şabikoğlu, I.; Kaynar, S.Çam.; Eral, M., 2016:
Modeling of thorium (IV) ions adsorption onto a novel adsorbent material silicon dioxide nano-balls using response surface methodology

So, R.; Vingarzan, R.; Jones, K.; Pitchford, M., 2015:
Modeling of time-resolved light extinction and its applications to visibility management in the Lower Fraser Valley of British Columbia, Canada

Skakauskas, V.; Katauskis, P., 2016:
Modeling of toxin-antibody interaction and toxin transport toward the endoplasmic reticulum

Ovcharenko, E.A.; Klyshnikov, K.U.; Yuzhalin, A.E.; Savrasov, G.V.; Kokov, A.N.; Batranin, A.V.; Ganyukov, V.I.; Kudryavtseva, Y.A., 2016:
Modeling of transcatheter aortic valve replacement: Patient specific vs general approaches based on finite element analysis

Naili, S.; Nguyen, V-Hieu.; Vu, M-Ba.; Desceliers, C.; Soize, C., 2016:
Modeling of transient wave propagation in a heterogeneous solid layer coupled with fluid: application to long bones

Romanova, G.A.; Shakova, F.M.; Parphenov, A.L., 2015:
Modeling of traumatic brain injury

Kumari, M.; Gupta, S.K., 2016:
Modeling of trihalomethanes (THMs) in drinking water supplies: a case study of eastern part of India

Balevičius, V.; Valkunas, L.; Abramavicius, D., 2015:
Modeling of ultrafast time-resolved fluorescence applied to a weakly coupled chromophore pair

Zhu, W.; Deng, M.; Xiang, Y.; Xuan, F-Zhen.; Liu, C.; Wang, Y-Ning., 2016:
Modeling of ultrasonic nonlinearities for dislocation evolution in plastically deformed materials: Simulation and experimental validation

Chen, Y.; Luo, Z.; Zhou, Q.; Zou, L.; Lin, L., 2015:
Modeling of ultrasonic propagation in heavy-walled centrifugally cast austenitic stainless steel based on EBSD analysis

Wu, X.; Li, Y'neng.; Sun, X.; Wang, J.; Zhao, C.; Yang, M.; Zhu, S.; Cao, Q.; Wu, H.; Wang, M., 2016:
Modeling of unstable pelvic fractures for 20 ° sagittally rotated pelvic displacement

Obaid, H.A.; Shahid, S.; Basim, K.N.; Chelliapan, S., 2015:
Modeling of wastewater quality in an urban area during festival and rainy days

Gu, J.; Jing, Y., 2016 :
Modeling of wave propagation for medical ultrasound: a review

Afenyo, M.; Khan, F.; Veitch, B.; Yang, M., 2016:
Modeling oil weathering and transport in sea ice

Heritage, S., 2015:
Modeling olfactory bulb evolution through primate phylogeny

Rojo, J.; Orlandi, F.; Pérez-Badia, R.; Aguilera, F.; Ben Dhiab, A.; Bouziane, H.; Díaz de la Guardia, C.; Galán, C.; Gutiérrez-Bustillo, A.M.; Moreno-Grau, S.; Msallem, M.; Trigo, M.M.; Fornaciari, M., 2016:
Modeling olive pollen intensity in the Mediterranean region through analysis of emission sources

Ghose, S.; Rajshekaran, R.; Labanca, M.; Conley, L., 2016:
Modeling on-column reduction of trisulfide bonds in monoclonal antibodies during protein A chromatography

Johnson, K.; Stokes, B.; Anthony, D.; Ward, R.; Freemantle, N.; Hill, S., 2016:
Modeling oncology surrogate markers

Ratcliff, R., 2016:
Modeling one-choice and two-choice driving tasks

Murray, S.L.; Harputlu, E.; Mentzer, R.A.; Mannan, M.Sam., 2015:
Modeling operators' emergency response time for chemical processing operations

Nurbawono, A.; Liu, S.; Zhang, C., 2015:
Modeling optical properties of silicon clusters by first principles: From a few atoms to large nanocrystals

Gayán, E.; Serrano, Mía.Jesús.; Álvarez, I.; Condón, S., 2016:
Modeling optimal process conditions for UV-heat inactivation of foodborne pathogens in liquid foods

Choe, S.; Lee, S., 2016:
Modeling optimal treatment strategies in a heterogeneous mixing model

Jia, F.; Yang, Q.; Han, J.; Liu, X.; Li, X.; Peng, Y., 2016:
Modeling optimization and evaluation of tightly bound extracellular polymeric substances extraction by sonication

Kalkowska, D.A.; Duintjer Tebbens, R.J.; Grotto, I.; Shulman, L.M.; Anis, E.; Wassilak, S.G.F.; Pallansch, M.A.; Thompson, K.M., 2015:
Modeling options to manage type 1 wild poliovirus imported into Israel in 2013

Antonijevic, T.; Lancaster, J.L.; Starobin, J.M., 2016:
Modeling order-disorder transition in Low-Density Lipoprotein

Bustillo-Lecompte, C.Fernando.; Mehrvar, M.; Quiñones-Bolaños, E.; Castro-Faccetti, C.Fernanda., 2016:
Modeling organic matter and nitrogen removal from domestic wastewater in a pilot-scale vertical subsurface flow constructed wetland

Noorbakhsh, J.; Schwab, D.J.; Sgro, A.E.; Gregor, T.; Mehta, P., 2016:
Modeling oscillations and spiral waves in Dictyostelium populations

Vigmond, E.J.; Stuyvers, B.D., 2016:
Modeling our understanding of the His-Purkinje system

Wilman, E.A.; Wilman, E.N., 2016:
Modeling outcomes of approaches to sustained human and snow leopard coexistence

Bonafede, E.; Picard, F.; Robin, Séphane.; Viroli, C., 2017:
Modeling overdispersion heterogeneity in differential expression analysis using mixtures

Layton, A.T.; Vallon, V.; Edwards, Aélie., 2015 :
Modeling oxygen consumption in the proximal tubule: effects of NHE and SGLT2 inhibition

Gall, E.T.; Siegel, J.A.; Corsi, R.L., 2016:
Modeling ozone removal to indoor materials, including the effects of porosity, pore diameter, and thickness

Nir, O.; Bishop, N.Fridman.; Lahav, O.; Freger, V., 2016:
Modeling pH variation in reverse osmosis

Kotland, A.; Chollet, Sébastien.; Autret, J-Marie.; Diard, C.; Marchal, L.; Renault, J-Hugues., 2015:
Modeling pH-zone refining countercurrent chromatography: a dynamic approach

Stüeken, E.E.; Kipp, M.A.; Koehler, M.C.; Schwieterman, E.W.; Johnson, B.; Buick, R., 2016:
Modeling pN2 through Geological Time: Implications for Planetary Climates and Atmospheric Biosignatures

Dale, S.; Markovski, J.; Hristovski, K.D., 2015:
Modeling packed bed sorbent systems with the Pore Surface Diffusion Model: Evidence of facilitated surface diffusion of arsenate in nano-metal (hydr)oxide hybrid ion exchange media

Baker, L.A.; Tiriac, Hé.; Clevers, H.; Tuveson, D.A., 2016:
Modeling pancreatic cancer with organoids

Huguet, F.; Yorke, E.D.; Davidson, M.; Zhang, Z.; Jackson, A.; Mageras, G.S.; Wu, A.J.; Goodman, K.A., 2015:
Modeling pancreatic tumor motion using 4-dimensional computed tomography and surrogate markers

Chi, Y.; Tian, Z.; Jia, X., 2017:
Modeling parameterized geometry in GPU-based Monte Carlo particle transport simulation for radiotherapy

Lipińska, P.; Allen, S.V.; Hopkins, W.G., 2015:
Modeling parameters that characterize pacing of elite female 800-m freestyle swimmers

Winkler-Heil, R.; Hofmann, W., 2016:
Modeling particle deposition in the Balb/c mouse respiratory tract

Zhou, Z.; Hu, Q.; Wang, W., 2015:
Modeling pedestrian's conformity violation behavior: a complex network based approach

Kaklanis, N.; Stavropoulos, G.; Tzovaras, D., 2016:
Modeling people with motor disabilities to empower the automatic accessibility and ergonomic assessment of new products

Wu, M.; Cao, H.; Nguyen, H-Long.; Surmacz, K.; Hargrove, C., 2016:
Modeling perceived stress via HRV and accelerometer sensor streams

Ramkumar, P.; Fernandes, H.; Kording, K.; Segraves, M., 2015:
Modeling peripheral visual acuity enables discovery of gaze strategies at multiple time scales during natural scene search

Lin, Y.; Abaid, N., 2016:
Modeling perspectives on echolocation strategies inspired by bats flying in groups

Worley-Morse, T.O.; Gunsch, C.K., 2016:
Modeling phage induced bacterial disinfection rates and the resulting design implications

Kastelic, M.; Kalyuzhnyi, Y.V.; Vlachy, V., 2016:
Modeling phase transitions in mixtures of β-γ lens crystallins

Qin, D.; Feng, Y.; Wan, M., 2015:
Modeling photoacoustic cavitation nucleation and bubble dynamics with modified classical nucleation theory

Kurwadkar, S.; Evans, A.; DeWinne, D.; White, P.; Mitchell, F., 2017 :
Modeling photodegradation kinetics of three systemic neonicotinoids-dinotefuran, imidacloprid, and thiamethoxam-in aqueous and soil environment

Pluhařová, E.; Slavíček, P.; Jungwirth, P., 2016:
Modeling photoionization of aqueous DNA and its components

Rosenkranz, S.; Schäfer, W.; Tropea, C.; Zoubir, A.M., 2016:
Modeling photon transport in turbid media for measuring colloidal concentration in drops using the time-shift technique

Fu, Y.; Dinku, A.G.; Hara, Y.; Miller, C.W.; Vrouwenvelder, K.T.; Lopez, R., 2015:
Modeling photovoltaic performance in periodic patterned colloidal quantum dot solar cells

Mukherjee, D.; Leo, B.Fen.; Royce, S.G.; Porter, A.E.; Ryan, M.P.; Schwander, S.; Chung, K.Fan.; Tetley, T.D.; Zhang, J.; Georgopoulos, P.G., 2015:
Modeling physicochemical interactions affecting in vitro cellular dosimetry of engineered nanomaterials: application to nanosilver

D.M.ggio, J.; Fernández, C.; Parodi, E.R.; Diaz, M.Soledad.; Estrada, V., 2016:
Modeling phytoplankton community in reservoirs. A comparison between taxonomic and functional groups-based models

Schönfeld, F.; Wiskott, L., 2015:
Modeling place field activity with hierarchical slow feature analysis

Lavedrine, C.; Farcot, E.; Vernoux, T., 2016:
Modeling plant development: from signals to gene networks

Taff, Y.; Apter, B.; Katz, E.A.; Efron, U., 2015:
Modeling plasmonic efficiency enhancement in organic photovoltaics

Dagan, R.; Juergens, C.; Trammel, J.; Patterson, S.; Greenberg, D.; Givon-Lavi, N.; Porat, N.; Gruber, W.C.; Scott, D.A., 2017:
Modeling pneumococcal nasopharyngeal acquisition as a function of anticapsular serum antibody concentrations after pneumococcal conjugate vaccine administration

Rojo, Jús.; Rivero, R.; Romero-Morte, J.; Fernández-González, F.; Pérez-Badia, R., 2016:
Modeling pollen time series using seasonal-trend decomposition procedure based on LOESS smoothing

Prado, R.B.; Novo, E.M.L.M., 2016:
Modeling pollution potential input from the drainage basin into Barra Bonita reservoir, São Paulo - Brazil

Ximendes, E.C.; Silva, W.F.; Vermelho, M.V.D.; Astrat, N.G.C.; Malacarne, L.C.; Baesso, M.L.; Catunda, T.; Jacinto, C., 2015:
Modeling population and thermal lenses in the presence of Auger Upconversion for Nd(3+) doped materials

Chavas, J-Paul., 2016:
Modeling population dynamics: A quantile approach

Haseltine, E.L.; Kimko, H.; Luo, H.; Tolsma, J.; Bartels, D.J.; Kieffer, T.L.; Garg, V., 2016:
Modeling population heterogeneity in viral dynamics for chronic hepatitis C infection: Insights from Phase 3 telaprevir clinical studies

Araujo, H.Andres.; Cooper, A.B.; MacIsaac, E.A.; Knowler, D.; Velez-Espino, A., 2016:
Modeling population responses of Chinook and coho salmon to suspended sediment using a life history approach

Li, M.; Chou, S-Yi., 2016:
Modeling postpartum depression in rats: theoretic and methodological issues

Pearson, L.; Hazel, E.; Tam, Y., 2015:
Modeling potential reduction of child mortality after national scale-up of community-based treatment of childhood illnesses in Ethiopia

Sánchez-Benavides, G.; Gispert, J.D.; Fauria, K.; Molinuevo, Jé.Luis.; Gramunt, N., 2016:
Modeling practice effects in healthy middle-aged participants of the Alzheimer and Families parent cohort

Haab, L.; Mortezapouraghdam, Z.; Strauss, D.J., 2015:
Modeling prediction of a generalized habituation deficit in decompensated tinnitus sufferers

Cooke, D.; Bond, R.; Lawton, J.; Rankin, D.; Heller, S.; Clark, M.; Speight, J., 2016:
Modeling predictors of changes in glycemic control and diabetes-specific quality of life amongst adults with type 1 diabetes 1 year after structured education in flexible, intensive insulin therapy

Aboelkassem, Y.; Savic, D.; Campbell, S.G., 2016:
Modeling predicts a connection between sinus vortex effects and aortic compliance

Kunisaki, C.; Miyata, H.; Konno, H.; Saze, Z.; Hirahara, N.; Kikuchi, H.; Wakabayashi, G.; Gotoh, M.; Mori, M., 2016:
Modeling preoperative risk factors for potentially lethal morbidities using a nationwide Japanese web-based database of patients undergoing distal gastrectomy for gastric cancer

Gündeğer, E.; Selçuki, C.; Okutucu, B., 2016:
Modeling prepolymerization step of a serotonin imprinted polymer

Kingdom, F.A.A.; Baldwin, A.S.; Schmidtmann, G., 2015:
Modeling probability and additive summation for detection across multiple mechanisms under the assumptions of signal detection theory

O'Connor, K.L.; Dolphin, L.; Fitzgerald, A.; Dooley, B., 2016:
Modeling problem behaviors in a nationally representative sample of adolescents

O'Leary, K.A.; Shea, M.P.; Schuler, L.A., 2015:
Modeling prolactin actions in breast cancer in vivo: insights from the NRL-PRL mouse

Orenstein, Y.; Shamir, R., 2016:
Modeling protein-DNA binding via high-throughput in vitro technologies

Lensink, M.F.; Velankar, S.; Wodak, S.J., 2016:
Modeling protein-protein and protein-peptide complexes: CAPRI 6th edition

Grewal, R.K.; Roy, S., 2016:
Modeling proteins as residue interaction networks

Wen, Z.; Christian, K.M.; Song, H.; Ming, G-li., 2016:
Modeling psychiatric disorders with patient-derived iPSCs

Beltz, A.M.; Corley, R.P.; Bricker, J.B.; Wadsworth, S.J.; Berenbaum, S.A., 2015:
Modeling pubertal timing and tempo and examining links to behavior problems

Saito, A.; Nikolaidis, N.M.; Amlal, H.; Uehara, Y.; Gardner, J.C.; LaSance, K.; Pitstick, L.B.; Bridges, J.P.; Wikenheiser-Brokamp, K.A.; McGraw, D.W.; Woods, J.C.; Sabbagh, Y.; Schiavi, S.C.; Altinişik, Göksel.; Jakopović, M.; Inoue, Y.; McCormack, F.X., 2016:
Modeling pulmonary alveolar microlithiasis by epithelial deletion of the Npt2b sodium phosphate cotransporter reveals putative biomarkers and strategies for treatment

Souza, M.C.M.M.; Rezende, G.F.M.; Barea, L.A.M.; Wiederhecker, G.S.; Frateschi, N.C., 2016:
Modeling quasi-dark states with temporal coupled-mode theory

Noorzadeh, S.; Niknazar, M.; Rivet, B.; Fontecave-Jallon, J.; Gumery, P-Yves.; Jutten, C., 2016:
Modeling quasi-periodic signals by a non-parametric model: application on fetal ECG extraction

Carante, M.P.; Altieri, S.; Bortolussi, S.; Postuma, I.; Protti, N.; Ballarini, F., 2016:
Modeling radiation-induced cell death: role of different levels of DNA damage clustering

Pérez-Rodríguez, P.; Soto-Gómez, D.; López-Periago, J.E.; Paradelo, M., 2015:
Modeling raindrop strike performance on copper wash-off from vine leaves

Camac, J.S.; Williams, R.J.; Wahren, C-Henrik.; Jarrad, F.; Hoffmann, A.A.; Vesk, P.A., 2016:
Modeling rates of life form cover change in burned and unburned alpine heathland subject to experimental warming

Ceriani, L.; Papa, E.; Kovarich, S.; Boethling, R.; Gramatica, P., 2015:
Modeling ready biodegradability of fragrance materials

Blackwell, D.L., 2015:
Modeling receipt of influenza A(H1N1)pdm09 vaccinations among US children during the 2009-2010 flu season: findings from the 2010 National Health Interview Survey

Mathieu, J.E.; Kukenberger, M.R.; D'Innocenzo, L.; Reilly, G., 2015:
Modeling reciprocal team cohesion-performance relationships, as impacted by shared leadership and members' competence

Dagnas, Séphane.; Gougouli, M.; Onno, B.; Koutsoumanis, K.P.; Membré, J-Marie., 2016:
Modeling red cabbage seed extract effect on Penicillium corylophilum: Relationship between germination time, individual and population lag time

Gajic, M.; Karwa, N.; Mojiri, A.; Rosengarten, G., 2015:
Modeling reflection loss from an evacuated tube inside a compound parabolic concentrator with a cylindrical receiver

Wang, X.; Kooij, R.E.; Van Mieghem, P., 2016:
Modeling region-based interconnection for interdependent networks

Siminos, E.; Sánchez-Arriaga, G.; Saxena, V.; Kourakis, I., 2015:
Modeling relativistic soliton interactions in overdense plasmas: a perturbed nonlinear Schrödinger equation framework

Tanigawa, S.; Perantoni, A.O., 2017:
Modeling renal progenitors - defining the niche

Gupta, R.; Szczesniak, R.D.; Macaluso, M., 2016:
Modeling repeated count measures with excess zeros in an epidemiological study

Basu, K.; Campbell, R.L.; Guo, S.; Sun, T.; Davies, P.L., 2016:
Modeling repetitive, non-globular proteins

Fragomeni, B.O.; Lourenco, D.A.L.; Tsuruta, S.; Andonov, S.; Gray, K.; Huang, Y.; Misztal, I., 2016:
Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States

Johnson, B.B.; Hallman, W.K.; Cuite, C.L., 2016:
Modeling retrospective attribution of responsibility to hazard-managing institutions: an example involving a food contamination incident

Scholz, S.; Mittendorf, T., 2015:
Modeling rheumatoid arthritis using different techniques - a review of model construction and results

Meshkati, F.; Fu, H.Chien., 2015:
Modeling rigid magnetically rotated microswimmers: rotation axes, bistability, and controllability

Kelley, M.L.; Lawrence, H.R.; Milletich, R.J.; Hollis, B.F.; Henson, J.M., 2016:
Modeling risk for child abuse and harsh parenting in families with depressed and substance-abusing parents

Palomaki, G.E.; Haddow, J.E.; Haddow, H.R.M.; Salahuddin, S.; Geahchan, C.; Cerdeira, A.Sofia.; Verlohren, S.; Perschel, F.H.; Horowitz, G.; Thadhani, R.; Karumanchi, S.Ananth.; Rana, S., 2016:
Modeling risk for severe adverse outcomes using angiogenic factor measurements in women with suspected preterm preeclampsia

Valuri, G.; Croft, M.; Morgan, V.; Jablensky, A., 2006:
Modeling risk from conception to disease: issues in the design of a population health database for psychiatric research

Paccha, B.; Jones, R.M.; Gibbs, S.; Kane, M.J.; Torremorell, M.; Neira-Ramirez, V.; Rabinowitz, P.M., 2016:
Modeling risk of occupational zoonotic influenza infection in swine workers

Gylmiyarova, F.N.; Radomskaya, V.M.; Gusyakova, O.A.; Ryskina, E.A.; Kolotyeva, N.A.; Shahnovich, E.A.; Nefedova, N.S.; Baisheva, G.M.; Pervova, Y.Y.; Pleten, A.P., 2015:
Modeling role of pyruvate in the processes of protein-protein interaction

Yin, Y.; Bijvelds, M.; Dang, W.; Xu, L.; van der Eijk, A.A.; Knipping, K.; Tuysuz, N.; Dekkers, J.F.; Wang, Y.; de Jonge, J.; Sprengers, D.; van der Laan, L.J.W.; Beekman, J.M.; Ten Berge, D.; Metselaar, H.J.; de Jonge, H.; Koopmans, M.P.G.; Peppelenbosch, M.P.; Pan, Q., 2016:
Modeling rotavirus infection and antiviral therapy using primary intestinal organoids

Hernandez, M.R.; Johansson, M.L.; Xiao, Y.; Lewis, M.A.; MacIsaac, H.J., 2016:
Modeling sampling strategies for determination of zooplankton abundance in ballast water

Beauchamp, G.; Ruxton, G.D., 2016:
Modeling scan and interscan durations in antipredator vigilance

Westbrook, J.K.; Nagoshi, R.N.; Meagher, R.L.; Fleischer, S.J.; Jairam, S., 2015:
Modeling seasonal migration of fall armyworm moths

Wang, S.; Liao, Y.; Yang, H.; Wang, X.; Wang, J., 2016:
Modeling seawater salinity and temperature sensing based on directional coupler assembled by polyimide-coated micro/nanofibers

Junhua, W.; Boya, L.; Lanfang, Z.; Ragland, D.R., 2016:
Modeling secondary accidents identified by traffic shock waves

Terfous, A.; Chiban, S.; Ghenaim, A., 2016:
Modeling sediment deposition from marine outfall jets

Cavnar, S.P.; Rickelmann, A.D.; Meguiar, K.F.; Xiao, A.; Dosch, J.; Leung, B.M.; Cai Lesher-Perez, S.; Chitta, S.; Luker, K.E.; Takayama, S.; Luker, G.D., 2016:
Modeling selective elimination of quiescent cancer cells from bone marrow

Xu, Z.; Li, D.; Schreiber, D.K.; Rosso, K.M.; Bruemmer, S.M., 2015:
Modeling selective intergranular oxidation of binary alloys

Roos, N.C.; Carvalho, A.R.; Lopes, P.F.M.; Pennino, M.Grazia., 2016:
Modeling sensitive parrotfish (Labridae: Scarini) habitats along the Brazilian coast

Bikson, M.; Truong, D.Q.; Mourdoukoutas, A.P.; Aboseria, M.; Khadka, N.; Adair, D.; Rahman, A., 2016:
Modeling sequence and quasi-uniform assumption in computational neurostimulation

Haxton, T.K.; Mannige, R.V.; Zuckermann, R.N.; Whitelam, S., 2016:
Modeling sequence-specific polymers using anisotropic coarse-grained sites allows quantitative comparison with experiment

Gowen, B.B.; Westover, J.B.; Miao, J.; Van Wettere, A.J.; Rigas, J.D.; Hickerson, B.T.; Jung, K-Hoon.; Li, R.; Conrad, B.L.; Nielson, S.; Furuta, Y.; Wang, Z., 2016:
Modeling Severe Fever with Thrombocytopenia Syndrome Virus Infection in Golden Syrian Hamsters: Importance of STAT2 in Preventing Disease and Effective Treatment with Favipiravir

Malesios, C.; Demiris, N.; Abas, Z.; Dadousis, K.; Koutroumanidis, T., 2015:
Modeling sheep pox disease from the 1994-1998 epidemic in Evros Prefecture, Greece

Bao, Z.; Haberer, C.M.; Maier, U.; Beckingham, B.; Amos, R.T.; Grathwohl, P., 2016:
Modeling short-term concentration fluctuations of semi-volatile pollutants in the soil-plant-atmosphere system

von Thienen, W.; Metzler, D.; Witte, V., 2016:
Modeling shortest path selection of the ant Linepithema humile using psychophysical theory and realistic parameter values

Jaworska, E.; Kozlowska, E.; Switonski, P.M.; Krzyzosiak, W.J., 2017:
Modeling simple repeat expansion diseases with iPSC technology

Mendes, C.; Esquerre, K.; Queiroz, L.Matos., 2016:
Modeling simultaneous carbon and nitrogen removal (SCNR) in anaerobic/anoxic reactor treating domestic wastewater

Stojanović, I.; Baumgartner, W.; van der Velden, T.J.G.; Terstappen, L.W.M.M.; Schasfoort, R.B.M., 2017:
Modeling single cell antibody excretion on a biosensor

Keßler, S.; Schmid, F.; Drese, K., 2016:
Modeling size controlled nanoparticle precipitation with the co-solvency method by spinodal decomposition

Giordano, D.; Kavasidis, I.; Spampinato, C., 2016:
Modeling skeletal bone development with hidden Markov models

Ouyang, Q.; Wang, L.; Mu, Y.; Xie, X-Qun., 2015:
Modeling skin sensitization potential of mechanistically hard-to-be-classified aniline and phenol compounds with quantum mechanistic properties

Fifel, K.; Piggins, H.; Deboer, T., 2016:
Modeling sleep alterations in Parkinson's disease: How close are we to valid translational animal models?

Gavrilovic, B.; Popovic, M.R.; Yadollahi, A., 2016:
Modeling sleep apnea severity using bioimpedance measurements

Swihart, B.J.; Punjabi, N.M.; Crainiceanu, C.M., 2016:
Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses

Kovalev, V.S.; Manukovsky, N.S.; Tikhomirov, A.A.; Kolmakova, A.A., 2015:
Modeling snail breeding in a bioregenerative life support system

Hamazaki, K.; Takamori, A.; Tsuchida, A.; Kigawa, M.; Tanaka, T.; Ito, M.; Adachi, Y.; Saito, S.; Origasa, H.; Inadera, H.; Kishi, R.; Yaegashi, N.; Hashimoto, K.; Mori, C.; Ito, S.; Yamagata, Z.; Inadera, H.; Kamijima, M.; Heike, T.; Iso, H.; Shima, M.; Kawai, Y.; Suganuma, N.; Kusuhara, K.; Katoh, T., 2017:
Dietary intake of fish and n-3 polyunsaturated fatty acids and risks of perinatal depression: The Japan Environment and Children's Study (JECS)

Shoham, D.A.; Hammond, R.; Rahmandad, H.; Wang, Y.; Hovmand, P., 2015:
Modeling social norms and social influence in obesity

Bretti, C.; Giuffrè, O.; Lando, G.; Sammartano, S., 2016:
Modeling solubility and acid-base properties of some amino acids in aqueous NaCl and (CH3)4NCl aqueous solutions at different ionic strengths and temperatures

Hamed, Y.Ahmed.; Yasuda, H.; Persson, M.; Berndtsson, R.; Wang, X-ping., 2015:
Modeling solute transport by DLA in soils of northeastern Egypt

Goodell, A.J.; Kahn, J.G.; Ndeki, S.S.; Kaale, E.; Kaaya, E.E.; Macfarlane, S.B.J., 2016:
Modeling solutions to Tanzania's physician workforce challenge

Delgado, A.; Corni, S.; Pittalis, S.; Rozzi, C.Andrea., 2015:
Modeling solvation effects in real-space and real-time within density functional approaches

Signon, L.; Nowakowski, B.; Lemarchand, A., 2016:
Modeling somite scaling in small embryos in the framework of Turing patterns

McReynolds, J.; Wen, Y.; Li, X.; Guan, J.; Jin, S., 2016:
Modeling spatial distribution of oxygen in 3d culture of islet beta-cells

Coker, E.; Ghosh, J.; Jerrett, M.; Gomez-Rubio, V.; Beckerman, B.; Cockburn, M.; Liverani, S.; Su, J.; Li, A.; Kile, M.L.; Ritz, B.; Molitor, J., 2016:
Modeling spatial effects of PM(2.5) on term low birth weight in Los Angeles County

Venteris, E.R.; Basta, N.T.; Bigham, J.M.; Rea, R., 2015:
Modeling spatial patterns in soil arsenic to estimate natural baseline concentrations

Yang, Y.; Auchincloss, A.H.; Rodriguez, D.A.; Brown, D.G.; Riolo, R.; Diez-Roux, A.V., 2015:
Modeling spatial segregation and travel cost influences on utilitarian walking: Towards policy intervention

Samuels, M.A.; Reed, M.P.; Arbogast, K.B.; Seacrist, T., 2015:
Modeling spatial trajectories in dynamics testing using basis splines: application to tracking human volunteers in low-speed frontal impacts

Mizraji, E.; Lin, J., 2015:
Modeling spatial-temporal operations with context-dependent associative memories

Saeedghalati, M.; Abbassian, A., 2015:
Modeling spatio-temporal dynamics of network damage and network recovery

Cha, Y.; Park, M-Hyun.; Lee, S-Hyup.; Kim, J.Ha.; Cho, K.Hwa., 2017:
Modeling spatiotemporal bacterial variability with meteorological and watershed land-use characteristics

Veran, S.; Simpson, S.J.; Sword, G.A.; Deveson, E.; Piry, S.; Hines, J.E.; Berthier, K., 2015:
Modeling spatiotemporal dynamics of outbreaking species: influence of environment and migration in a locust

de Wiljes, O.O.; van Elburg, R.A.J.; Biehl, M.; Keijzer, F.A., 2015:
Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution

Blanco, C.; Ribó, J.M.; Hochberg, D., 2016:
Modeling spontaneous chiral symmetry breaking and deracemization phenomena: discrete versus continuum approaches

Haverkate, M.R.; Bootsma, M.C.J.; Weiner, S.; Blom, D.; Lin, M.Y.; Lolans, K.; Moore, N.M.; Lyles, R.D.; Weinstein, R.A.; Bonten, M.J.M.; Hayden, M.K., 2016:
Modeling spread of KPC-producing bacteria in long-term acute care hospitals in the Chicago region, USA

Khemka, S.; Tzovara, A.; Gerster, S.; Quednow, B.B.; Bach, D.R., 2016:
Modeling startle eyeblink electromyogram to assess fear learning

Wade, N.G.; Vogel, D.L.; Armistead-Jehle, P.; Meit, S.S.; Heath, P.J.; Strass, H.A., 2016:
Modeling stigma, help-seeking attitudes, and intentions to seek behavioral healthcare in a clinical military sample

Wolsiefer, K.; Westfall, J.; Judd, C.M., 2016:
Modeling stimulus variation in three common implicit attitude tasks

Meister, A.; Du, C.; Li, Y.Henry.; Wong, W.Hung., 2015:
Modeling stochastic noise in gene regulatory systems

Koyama, K.; Hokunan, H.; Hasegawa, M.; Kawamura, S.; Koseki, S., 2016:
Modeling Stochastic Variability in the Numbers of Surviving Salmonella enterica, Enterohemorrhagic Escherichia coli, and Listeria monocytogenes Cells at the Single-Cell Level in a Desiccated Environment

Mariano, L.J.; Poore, J.C.; Krum, D.M.; Schwartz, J.L.; Coskren, W.D.; Jones, E.M., 2015:
Modeling strategic use of human computer interfaces with novel hidden Markov models

Satake, A.; Sakurai, G.; Kinoshita, T., 2016:
Modeling strategies for plant survival, growth and reproduction

Hahn, A.; Schain, M.; Erlandsson, M.; Sjölin, P.; James, G.M.; Strandberg, O.T.; Hägerström, D.; Lanzenberger, R.; Jögi, J.; Olsson, T.G.; Smith, R.; Hansson, O., 2016:
Modeling Strategies for Quantification of In Vivo 18F-AV-1451 Binding in Patients with Tau Pathology

Marinković, T.; Orešič, M., 2016:
Modeling strategies to study metabolic pathways in progression to type 1 diabetes--Challenges and opportunities

Ferreira, Mário.; Filipe, A.Filipa.; Bardos, D.C.; Magalhães, M.Filomena.; Beja, P., 2016:
Modeling stream fish distributions using interval-censored detection times

Wyles, S.P.; Li, X.; Hrstka, S.C.; Reyes, S.; Oommen, S.; Beraldi, R.; Edwards, J.; Terzic, A.; Olson, T.M.; Nelson, T.J., 2016:
Modeling structural and functional deficiencies of RBM20 familial dilated cardiomyopathy using human induced pluripotent stem cells

Neuwirth, C.; Peck, A.; Simonović, S.P., 2015:
Modeling structural change in spatial system dynamics: A Daisyworld example

Zhuang, X.; Klauda, J.B., 2016:
Modeling structural transitions from the periplasmic-open state of lactose permease and interpretations of spin label experiments

Kim, C.Kon.; Park, B.Ho.; Park, S.Jin.; Kim, C.Kyung., 2015:
Modeling studies on the uptake of hydrogen molecules by graphene

Qiao, A.; Pan, Y.; Dong, N., 2015:
Modeling study of aortic root for ross procedure: a structural finite element analysis

Gerasimov, G., 2016:
Modeling study of polychlorinated dibenzo-p-dioxins and dibenzofurans behavior in flue gases under electron beam irradiation

Halkitis, P.N.; Siconolfi, D.E.; Stults, C.B.; Barton, S.; Bub, K.; Kapadia, F., 2015:
Modeling substance use in emerging adult gay, bisexual, and other YMSM across time: the P18 cohort study

Cardozo, N.P.; Sentelhas, P.C.; Panosso, A.R.; Palhares, A.L.; Ide, B.Y., 2015:
Modeling sugarcane ripening as a function of accumulated rainfall in Southern Brazil

Wang, W.; Roulet, N.T.; Strachan, I.B.; Tremblay, A., 2016:
Modeling surface energy fluxes and thermal dynamics of a seasonally ice-covered hydroelectric reservoir

Nattino, F.; Galparsoro, O.; Costanzo, F.; Díez Muiño, R.; Alducin, M.; Kroes, G-Jan., 2016:
Modeling surface motion effects in N2 dissociation on W(110): Ab initio molecular dynamics calculations and generalized Langevin oscillator model

Nerantzaki, S.D.; Giannakis, G.V.; Efstathiou, D.; Nikolaidis, N.P.; Sibetheros, I.Α.; Karatzas, G.P.; Zacharias, I., 2016:
Modeling suspended sediment transport and assessing the impacts of climate change in a karstic Mediterranean watershed

Wang, Y.; Licht, L.; Just, C., 2015:
Modeling sustainable reuse of nitrogen-laden wastewater by poplar

Habela, C.W.; Song, H.; Ming, G-Li., 2018:
Modeling synaptogenesis in schizophrenia and autism using human iPSC derived neurons

Mysin, I.E.; Kitchigina, V.F.; Kazanovich, Y., 2016:
Modeling synchronous theta activity in the medial septum: key role of local communications between different cell populations

Barrott, J.J.; Kafchinski, L.A.; Jin, H.; Potter, J.W.; Kannan, S.D.; Kennedy, R.; Mosbruger, T.; Wang, W-Lien.; Tsai, J-Wei.; Araujo, D.M.; Liu, T.; Capecchi, M.R.; Lazar, A.J.; Jones, K.B., 2017:
Modeling synovial sarcoma metastasis in the mouse: PI3'-lipid signaling and inflammation

Zhang, Z.; Deng, Z.; Rusch, K.A.; Walker, N.D., 2016:
Modeling system for predicting enterococci levels at Holly Beach

Conrad, J.A.; Gordon, M.S., 2014:
Modeling systems with π-π interactions using the Hartree-Fock method with an empirical dispersion correction

MacLeod, M.; Nersessian, N.J., 2015:
Modeling systems-level dynamics: Understanding without mechanistic explanation in integrative systems biology

Storms, Z.J.; Sauvageau, D., 2016:
Modeling tailed bacteriophage adsorption: Insight into mechanisms

Fu, Z.; Cui, Y.; Cui, F.; Zhang, G., 2016:
Modeling techniques and fluorescence imaging investigation of the interactions of an anthraquinone derivative with HSA and ctDNA

Tam, S.Nok.; Smith, M.L.; Stamenović, D., 2016:
Modeling tensional homeostasis in multicellular clusters

Olsen, T.; Kamrin, K., 2015:
Modeling tensorial conductivity of particle suspension networks

Pappas, C.; Fatichi, S.; Burlando, P., 2016:
Modeling terrestrial carbon and water dynamics across climatic gradients: does plant trait diversity matter?

Burke, J.F.; Langa, K.M.; Hayward, R.A.; Albin, R.L., 2015:
Modeling test and treatment strategies for presymptomatic Alzheimer disease

Siettos, C.; Anastassopoulou, C.; Russo, L.; Grigoras, C.; Mylonakis, E., 2015 :
Modeling the 2014 Ebola Virus Epidemic - Agent-Based Simulations, Temporal Analysis and Future Predictions for Liberia and Sierra Leone

Fan, C.Chieh.; Bartsch, H.; Schork, A.J.; Chen, C-Hua.; Wang, Y.; Lo, M-Tzu.; Brown, T.T.; Kuperman, J.M.; Hagler, D.J.; Schork, N.J.; Jernigan, T.L.; Dale, A.M., 2016:
Modeling the 3D geometry of the cortical surface with genetic ancestry

Olmos, A.; Bertolini, E.; Ruiz-García, A.B.; Martínez, C.; Peiró, R.; Vidal, E., 2016:
Modeling the Accuracy of Three Detection Methods of Grapevine leafroll-associated virus 3 During the Dormant Period Using a Bayesian Approach

Zhang, Y.; Yin, X.; He, Z.; Zhang, X.; Wen, Y.; Wang, H., 2016:
Modeling the Activated Sludge--Thickening Process in Secondary Settlers

Ramos, M.Elena.; Emiroglu, C.; García, D.; Sainz-Díaz, C.Ignacio.; Huertas, F.Javier., 2015:
Modeling the Adsorption of Oxalate onto Montmorillonite

Tiwari, M.K.; Kepp, K.P., 2016:
Modeling the Aggregation Propensity and Toxicity of Amyloid-β Variants

Snyder, M.; Halford, R.; Knill, C.; Adams, J.N.; Bossenberger, T.; Nalichowski, A.; Hammoud, A.; Burmeister, J., 2017:
Modeling the Agility MLC in the Monaco treatment planning system

Yong, X., 2016:
Modeling the Assembly of Polymer-Grafted Nanoparticles at Oil-Water Interfaces

Šiljić Tomić, A.N.; Antanasijević, D.Z.; Ristić, M.Đ.; Perić-Grujić, A.A.; Pocajt, V.V., 2016:
Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models

Djukic, T.R.; Karthik, S.; Saveljic, I.; Djonov, V.; Filipovic, N., 2016 :
Modeling the Behavior of Red Blood Cells within the Caudal Vein Plexus of Zebrafish

Vorberg, S.; Tetko, I.V., 2014:
Modeling the Biodegradability of Chemical Compounds Using the Online CHEmical Modeling Environment (OCHEM)

Zhang, W.; Li, Y.; Wang, C.; Wang, P.; Hou, J.; Yu, Z.; Niu, L.; Wang, L.; Wang, J., 2017:
Modeling the Biodegradation of Bacterial Community Assembly Linked Antibiotics in River Sediment Using a Deterministic-Stochastic Combined Model

Adriani, G.; Ma, D.; Pavesi, A.; Goh, E.L.K.; Kamm, R.D., 2016:
Modeling the Blood-Brain Barrier in a 3D triple co-culture microfluidic system

Stuntz, M., 2016:
Modeling the Burden of Abdominal Aortic Aneurysm in the USA in 2013

Sibert, E.L.; Tabor, D.P.; Lisy, J.M., 2015:
Modeling the CH Stretch Vibrational Spectroscopy of M(+)[Cyclohexane] (M = Li, Na, and K) Ions

Knauf, M.; Köhl, M.; Mues, V.; Olschofsky, K.; Frühwald, A., 2015:
Modeling the CO 2 -effects of forest management and wood usage on a regional basis

D'Angelo, E.; Antonietti, A.; Casali, S.; Casellato, C.; Garrido, J.A.; Luque, N.Rafael.; Mapelli, L.; Masoli, S.; Pedrocchi, A.; Prestori, F.; Rizza, M.Francesca.; Ros, E., 2016:
Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

Hyttinen, N.; Kupiainen-Määttä, O.; Rissanen, M.P.; Muuronen, M.; Ehn, M.; Kurtén, T., 2016:
Modeling the Charging of Highly Oxidized Cyclohexene Ozonolysis Products Using Nitrate-Based Chemical Ionization

Teixeira, L.B.C.; Hoeve, J.N.Ver.; Mayer, J.A.; Dubielzig, R.R.; Smith, C.M.; Radcliff, A.B.; Duncan, I.D., 2016 :
Modeling the Chronic Loss of Optic Nerve Axons and the Effects on the Retinal Nerve Fiber Layer Structure in Primary Disorder of Myelin

Abdi, M.; Karimi, A.; Navidbakhsh, M.; Rahmati, M.; Hassani, K.; Razmkon, A., 2013:
Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances

Sanchez, D.; Boudes, M.; van Tilbeurgh, H.; Durand, D.; Quevillon-Cheruel, S., 2015:
Modeling the ComD/ComE/comcde interaction network using small angle X-ray scattering

Kots, E.D.; Khrenova, M.G.; Lushchekina, S.V.; Varfolomeev, S.D.; Grigorenko, B.L.; Nemukhin, A.V., 2016:
Modeling the Complete Catalytic Cycle of Aspartoacylase

Bernuzzi, S.; Dietrich, T.; Nagar, A., 2015:
Modeling the Complete Gravitational Wave Spectrum of Neutron Star Mergers

Fortini, L.B.; Cropper, W.P.; Zarin, D.J., 2016:
Modeling the Complex Impacts of Timber Harvests to Find Optimal Management Regimes for Amazon Tidal Floodplain Forests

Sharpton, T.J.; Gaulke, C.A., 2016:
Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health

Machado, D.; Herrgård, M.J.; Rocha, I., 2015:
Modeling the Contribution of Allosteric Regulation for Flux Control in the Central Carbon Metabolism of E. coli

Wright, D.R.; Kenney, E.L.; Giles, C.M.; Long, M.W.; Ward, Z.J.; Resch, S.C.; Moodie, M.L.; Carter, R.C.; Wang, Y.Claire.; Sacks, G.; Swinburn, B.A.; Gortmaker, S.L.; Cradock, A.L., 2016:
Modeling the Cost Effectiveness of Child Care Policy Changes in the U.S

Pandya, A.; Eggman, A.A.; Kamel, H.; Gupta, A.; Schackman, B.R.; Sanelli, P.C., 2016 :
Modeling the Cost Effectiveness of Neuroimaging-Based Treatment of Acute Wake-Up Stroke

Bhanegaonkar, A.; Lee, B.W.; Shek Pei Chi, L.; Van Bever, H.; Horodniceanu, E.G.; Ji, X.; Detzel, P.; Botteman, M.F., 2014:
Modeling the Cost-Effectiveness of 100% Whey-Based Partially Hydrolyzed Versus. Cow's Milk Infant Formula in the Prevention of Atopic Dermatitis in Singapore

Rafia, R.; Brennan, A.; Madan, J.; Collins, K.; Reed, M.W.R.; Lawrence, G.; Robinson, T.; Greenberg, D.; Wyld, L., 2017:
Modeling the Cost-Effectiveness of Alternative Upper Age Limits for Breast Cancer Screening in England and Wales

Kozhimannil, K.B.; Hardeman, R.R.; Alarid-Escudero, F.; Vogelsang, C.A.; Blauer-Peterson, C.; Howell, E.A., 2016:
Modeling the Cost-Effectiveness of Doula Care Associated with Reductions in Preterm Birth and Cesarean Delivery

Sharma, M.; Farquhar, C.; Ying, R.; Krakowiak, D.; Kinuthia, J.; Osoti, A.; Asila, V.; Gone, M.; Mark, J.; Barnabas, R.V., 2017:
Modeling the Cost-Effectiveness of Home-Based HIV Testing and Education (HOPE) for Pregnant Women and Their Male Partners in Nyanza Province, Kenya

Pye, H.O.T.; Luecken, D.J.; Xu, L.; Boyd, C.M.; Ng, N.L.; Baker, K.R.; Ayres, B.R.; Bash, J.O.; Baumann, K.; Carter, W.P.L.; Edgerton, E.; Fry, J.L.; Hutzell, W.T.; Schwede, D.B.; Shepson, P.B., 2016:
Modeling the Current and Future Roles of Particulate Organic Nitrates in the Southeastern United States

Martin, E.G.; MacDonald, R.H.; Smith, L.C.; Gordon, D.E.; Lu, T.; OʼConnell, D.A., 2015:
Modeling the Declining Positivity Rates for Human Immunodeficiency Virus Testing in New York State

Ma, Y-Ki., 2016:
Modeling the Dependency Structure of Integrated Intensity Processes

Iyer, S.; Lopez-Hilfiker, F.; Lee, B.H.; Thornton, J.A.; Kurtén, T., 2016:
Modeling the Detection of Organic and Inorganic Compounds Using Iodide-Based Chemical Ionization

Cross, R.W.; Fenton, K.A.; Geisbert, J.B.; Mire, C.E.; Geisbert, T.W., 2015:
Modeling the Disease Course of Zaire ebolavirus Infection in the Outbred Guinea Pig

Choy, S.; de Winter, W.; Karlsson, M.O.; Kjellsson, M.C., 2016:
Modeling the Disease Progression from Healthy to Overt Diabetes in ZDSD Rats

Wawrziczny, E.; Berna, G.; Ducharme, F.; Kergoat, M-Jeanne.; Pasquier, F.; Antoine, P., 2016:
Modeling the Distress of Spousal Caregivers of People with Dementia

Hanafi-Bojd, A.Ali.; Yaghoobi-Ershadi, M.Reza.; Haghdoost, A.Akbar.; Akhavan, A.Ahmad.; Rassi, Y.; Karimi, A.; Charrahy, Z., 2015:
Modeling the Distribution of Cutaneous Leishmaniasis Vectors (Psychodidae: Phlebotominae) in Iran: A Potential Transmission in Disease Prone Areas

Garcia, T.Y.; Gutierrez, M.; Reynolds, J.; Lamba, D.A., 2016:
Modeling the Dynamic AMD-Associated Chronic Oxidative Stress Changes in Human ESC and iPSC-Derived RPE Cells

Estes, A.M., 2016:
Modeling the Dynamic Digestive System Microbiome

Botesteanu, D-Adriana.; Lee, J-Min.; Levy, D., 2016:
Modeling the Dynamics of High-Grade Serous Ovarian Cancer Progression for Transvaginal Ultrasound-Based Screening and Early Detection

Morrison, M.L.; Raphael, M.G., 1993:
Modeling the Dynamics of Snags

Bernuzzi, S.; Nagar, A.; Dietrich, T.; Damour, T., 2015:
Modeling the Dynamics of Tidally Interacting Binary Neutron Stars up to the Merger

Guemmegne, J.T.; Kengwoung-Keumo, J-J.; Tabatabai, M.A.; Singh, K.P., 2015:
Modeling the Dynamics of the U.S. Healthcare Expenditure Using a Hyperbolastic Function

Peters, P.N.; Schryver, E.M.; Lengyel, E.; Kenny, H., 2016:
Modeling the Early Steps of Ovarian Cancer Dissemination in an Organotypic Culture of the Human Peritoneal Cavity

Guo, T.; Englehardt, J.D.; Fallon, H.J., 2016:
Modeling the Economic Feasibility of Large-Scale Net-Zero Water Management: A Case Study

Johnson, K.I.; Palin, H.J.; Sibbring, G.C.; Selby, R., 2014:
Modeling the Effect of Combining Alogliptin With Dual therapy in Type 2 Diabetes

Hu, X.; Wisniewski, K.; Czerwionka, K.; Zhou, Q.; Xie, L.; Makinia, J., 2016:
Modeling the Effect of External Carbon Source Addition under Different Electron Acceptor Conditions in Biological Nutrient Removal Activated Sludge Systems

Graeden, E.; Fielding, R.; Steinhouse, K.E.; Rubin, I.N., 2016:
Modeling the Effect of Herd Immunity and Contagiousness in Mitigating a Smallpox Outbreak

Urevc, J.; Žun, I.; Brumen, M.; Štok, B., 2016:
Modeling the Effect of Red Blood Cells Deformability on Blood Flow Conditions in Human Carotid Artery Bifurcation

Duffey, K.J.; Poti, J., 2016:
Modeling the Effect of Replacing Sugar-Sweetened Beverage Consumption with Water on Energy Intake, HBI Score, and Obesity Prevalence

Liu, K.J.; Hartman, R.I.; Joyce, C.; Mostaghimi, A., 2017:
Modeling the Effect of Shared Care to Optimize Acne Referrals From Primary Care Clinicians to Dermatologists

Luo, K.; Hong, S-Sam.; Oh, D-Hwan., 2016:
Modeling the Effect of Storage Temperatures on the Growth of Listeria monocytogenes on Ready-to-Eat Ham and Sausage

Ding, T.; Yu, Y-Yan.; Hwang, C-An.; Dong, Q-Li.; Chen, S-Guo.; Ye, X-Qian.; Liu, D-Hong., 2016:
Modeling the Effect of Water Activity, pH, and Temperature on the Probability of Enterotoxin A Production by Staphylococcus aureus

Samaratunga, A.; Kudina, O.; Nahar, N.; Zakharchenko, A.; Minko, S.; Voronov, A.; Pryor, S.W., 2016:
Modeling the Effect of pH and Temperature for Cellulases Immobilized on Enzymogel Nanoparticles

Zhang, X.; Tang, S.; Cheke, R.A.; Zhu, H., 2016:
Modeling the Effects of Augmentation Strategies on the Control of Dengue Fever With an Impulsive Differential Equation

Nachman, G.; Gotoh, T., 2016:
Modeling the Effects of Constant and Variable Temperatures on the Vital Rates of an Age-, Stage-, and Sex-Structured Population by Means of the SANDY Approach

Cherng, S.T.; Tam, J.; Christine, P.J.; Meza, R., 2018:
Modeling the Effects of E-cigarettes on Smoking Behavior: Implications for Future Adult Smoking Prevalence

Li, Y.; Wang, C.; Zhang, W.; Wang, P.; Niu, L.; Hou, J.; Wang, J.; Wang, L., 2016:
Modeling the Effects of Hydrodynamic Regimes on Microbial Communities within Fluvial Biofilms: Combining Deterministic and Stochastic Processes

Vaidya, N.K.; Ribeiro, R.M.; Perelson, A.S.; Kumar, A., 2016:
Modeling the Effects of Morphine on Simian Immunodeficiency Virus Dynamics

Mushayabasa, S.; Tapedzesa, G., 2016:
Modeling the Effects of Multiple Intervention Strategies on Controlling Foot-and-Mouth Disease

Neokleous, K.; Shimi, A.; Avraamides, M.N., 2016:
Modeling the Effects of Perceptual Load: Saliency, Competitive Interactions, and Top-Down Biases

Snelling, T.; McIntyre, P., 2016:
Modeling the Effects of Priming With the Whole-Cell Bordetella Pertussis Vaccine

Baumgartner, R.; Majdak, P.; Laback, B., 2016:
Modeling the Effects of Sensorineural Hearing Loss on Sound Localization in the Median Plane

Ke, R.; Lewin, S.R.; Elliott, J.H.; Perelson, A.S., 2016:
Modeling the Effects of Vorinostat In Vivo Reveals both Transient and Delayed HIV Transcriptional Activation and Minimal Killing of Latently Infected Cells

Hallez, Y.; Meireles, M., 2016:
Modeling the Electrostatics of Hollow Shell Suspensions: Ion Distribution, Pair Interactions, and Many-Body Effects

de Sousa, L.Evaristo.; Ribeiro, L.Antonio.; Fonseca, A.Luciano.de.Almeida.; da Silva Filho, Détrio.Antonio., 2016:
Modeling the Emission Spectra of Organic Molecules: A Competition between Franck-Condon and Nuclear Ensemble Methods

Silverman, A.I.; Nelson, K.L., 2017:
Modeling the Endogenous Sunlight Inactivation Rates of Laboratory Strain and Wastewater E. coli and Enterococci Using Biological Weighting Functions

Mukandavire, Z.; Morris, J.Glenn., 2016:
Modeling the Epidemiology of Cholera to Prevent Disease Transmission in Developing Countries

Somerville, T.D.D.; Vakoc, C.R., 2016:
Modeling the Epigenetic Chain Reaction Downstream of DNMT3A(R882H)

Perez, R.E.; Shen, H.; Duan, L.; Kim, R.H.; Kim, T.; Park, N-Hee.; Maki, C.G., 2016:
Modeling the Etiology of p53-mutated Cancer Cells

Marković, D.; Gläscher, J.; Bossaerts, P.; O'Doherty, J.; Kiebel, S.J., 2016:
Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism

Kapustina, M.; Tsygankov, D.; Zhao, J.; Wessler, T.; Yang, X.; Chen, A.; Roach, N.; Elston, T.C.; Wang, Q.; Jacobson, K.; Forest, M.Gregory., 2016:
Modeling the Excess Cell Surface Stored in a Complex Morphology of Bleb-Like Protrusions

Ma, Y.; Rohlfing, M.; Molteni, C., 2010:
Modeling the Excited States of Biological Chromophores within Many-Body Green's Function Theory

Yang, K.; White, C.E., 2016:
Modeling the Formation of Alkali Aluminosilicate Gels at the Mesoscale Using Coarse-Grained Monte Carlo

Mak, H.Craig., 2016:
Modeling the Future

Sotero, R.C., 2016:
Modeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models

Hahn, M.B.; Jarnevich, C.S.; Monaghan, A.J.; Eisen, R.J., 2016:
Modeling the Geographic Distribution of Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae) in the Contiguous United States

Apolinário, A.; Quitério, P.; Sousa, C.T.; Ventura, J.; Sousa, J.B.; Andrade, L.; Mendes, A.M.; Araújo, J.P., 2015:
Modeling the Growth Kinetics of Anodic TiO2 Nanotubes

Lu, H.; Yuan, W.; Cheng, J.; Rose, R.B.; Classen, J.J.; Simmons, O.D., 2016:
Modeling the Growth of Archaeon Halobacterium halobium Affected by Temperature and Light

Mansur, A.Rois.; Oh, D-Hwan., 2016:
Modeling the Growth of Epiphytic Bacteria on Kale Treated by Thermosonication Combined with Slightly Acidic Electrolyzed Water and Stored under Dynamic Temperature Conditions

Sugai-Guérios, M.Harumi.; Balmant, W.; Furigo, A.; Krieger, N.; Mitchell, D.Alexander., 2015:
Modeling the Growth of Filamentous Fungi at the Particle Scale in Solid-State Fermentation Systems

Bailey, M.A.; Baxter, P.D.; Jiang, T.; Charnell, A.M.; Griffin, K.J.; Johnson, A.B.; Bridge, K.I.; Sohrabi, S.; Scott, D.Julian.A., 2013:
Modeling the Growth of Infrarenal Abdominal Aortic Aneurysms

Steinmann, S.N.; Michel, C.; Schwiedernoch, R.; Filhol, J-Sebastien.; Sautet, P., 2015:
Modeling the HCOOH/CO2 Electrocatalytic Reaction: When Details Are Key

Kalkhoran, S.; Glantz, S.A., 2016:
Modeling the Health Effects of Expanding e-Cigarette Sales in the United States and United Kingdom: A Monte Carlo Analysis

Müllhaupt, B.; Bruggmann, P.; Bihl, F.; Blach, S.; Lavanchy, D.; Razavi, H.; Semela, D.; Negro, F., 2016:
Modeling the Health and Economic Burden of Hepatitis C Virus in Switzerland

Trachsel, M.A.; Ottiger, P.; Frey, H-Martin.; Pfaffen, C.; Bihlmeier, A.; Klopper, W.; Leutwyler, S., 2016:
Modeling the Histidine-Phenylalanine Interaction: The NH···π Hydrogen Bond of Imidazole·Benzene

Deddens, J.C.; Sadeghi, A.Hossein.; Hjortnaes, J.; van Laake, L.W.; Buijsrogge, M.; Doevendans, P.A.; Khademhosseini, A.; Sluijter, J.P.G., 2016:
Modeling the Human Scarred Heart In Vitro: Toward New Tissue Engineered Models

Lamberto, G.; Richard, V.; Dumas, Rël.; Valentini, P.Paolo.; Pennestrì, E.; Lu, T-Wu.; Camomilla, V.; Cappozzo, A., 2016:
Modeling the Human Tibiofemoral Joint Using Ex Vivo Determined Compliance Matrices

Ramazani, A.; Mandal, T.; Larson, R.G., 2016:
Modeling the Hydrophobicity of Nanoparticles and Their Interaction with Lipids and Proteins

Sutton, C.C.R.; da Silva, G.; Franks, G.V., 2015:
Modeling the IR spectra of aqueous metal carboxylate complexes: correlation between bonding geometry and stretching mode wavenumber shifts

Alonso, W.J.; Rabaa, M.A.; Giglio, R.; Miller, M.A.; Schuck-Paim, C., 2016:
Modeling the Impact of Alternative Immunization Strategies: Using Matrices as Memory Lanes

King, A.M.; Glass, K.A.; Milkowski, A.L.; Seman, D.L.; Sindelar, J.J., 2016:
Modeling the Impact of Ingoing Sodium Nitrite, Sodium Ascorbate, and Residual Nitrite Concentrations on Growth Parameters of Listeria monocytogenes in Cooked, Cured Pork Sausage

Lyon, A.R.; Maras, M.A.; Pate, C.M.; Igusa, T.; Vander Stoep, A., 2015:
Modeling the Impact of School-Based Universal Depression Screening on Additional Service Capacity Needs: A System Dynamics Approach

Kripke, K.; Vazzano, A.; Kirungi, W.; Musinguzi, J.; Opio, A.; Ssempebwa, R.; Nakawunde, S.; Kyobutungi, S.; Akao, J.N.; Magala, F.; Mwidu, G.; Castor, D.; Njeuhmeli, E., 2017:
Modeling the Impact of Uganda's Safe Male Circumcision Program: Implications for Age and Regional Targeting

Zvuloni, A.; Artzy-Randrup, Y.; Katriel, G.; Loya, Y.; Stone, L., 2016:
Modeling the Impact of White-Plague Coral Disease in Climate Change Scenarios

Hoover, B.; Nevitt, G., 2016:
Modeling the Importance of Sample Size in Relation to Error in MHC-Based Mate-Choice Studies on Natural Populations

Chien, S-Yung.; Sheen, S.; Sommers, C.H.; Sheen, L-Yan., 2016:
Modeling the Inactivation of Intestinal Pathogenic Escherichia coli O157:H7 and Uropathogenic E. coli in Ground Chicken by High Pressure Processing and Thymol

Trevino, A.C.; Jesteadt, W.; Neely, S.T., 2016:
Modeling the Individual Variability of Loudness Perception with a Multi-Category Psychometric Function

Norrix, L.W.; Van Tasell, D.; Ross, J.; Harris, F.P.; Dean, J., 2015:
Modeling the Influence of Acoustic Coupling of Hearing Aids on FM Signal-to-Noise Ratio

Linares, A.M.; Wambach, K.; Rayens, M.K.; Wiggins, A.; Coleman, E.; Dignan, M.B., 2016:
Modeling the Influence of Early Skin-to-Skin Contact on Exclusive Breastfeeding in a Sample of Hispanic Immigrant Women

Le, T.C.; Tran, N.; Mulet, X.; Winkler, D.A., 2016:
Modeling the Influence of Fatty Acid Incorporation on Mesophase Formation in Amphiphilic Therapeutic Delivery Systems

Berger, S.D.; Crook, S.M., 2015:
Modeling the Influence of Ion Channels on Neuron Dynamics in Drosophila

Zhao, R-yi.; Lü, X-fu.; Duan, Y-fan., 2015:
Modeling the Influencing Factors of Karstification and Karst Carbon Cycle in Laboratory

Walitzer, K.S.; Dermen, K.H.; Barrick, C.; Shyhalla, K., 2016:
Modeling the Innovation-Decision Process: Dissemination and Adoption of a Motivational Interviewing Preparatory Procedure In Addiction Outpatient Clinics

Singh, S.; Lo, M-Chen.; Damodaran, V.B.; Kaplan, H.M.; Kohn, J.; Zahn, J.D.; Shreiber, D.I., 2016:
Modeling the Insertion Mechanics of Flexible Neural Probes Coated with Sacrificial Polymers for Optimizing Probe Design

Guo, Z.; Liu, Y.; Xiao, Q.; Schönherr, H.; Zhang, X., 2016:
Modeling the Interaction between AFM Tips and Pinned Surface Nanobubbles

Fgaier, H.; Mustafa, I.H.I.; Awad, A.A.R.; Elkamel, A., 2016:
Modeling the Interaction between β-Amyloid Aggregates and Choline Acetyltransferase Activity and Its Relation with Cholinergic Dysfunction through Two-Enzyme/Two-Compartment Model

Laghari, S.; Niazi, M.A., 2016:
Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive Agent-Based Computing Approach

Belfatto, A.; Riboldi, M.; Ciardo, D.; Cattani, F.; Cecconi, A.; Lazzari, R.; Jereczek-Fossa, B.Alicja.; Orecchia, R.; Baroni, G.; Cerveri, P., 2015:
Modeling the Interplay Between Tumor Volume Regression and Oxygenation in Uterine Cervical Cancer During Radiotherapy Treatment

Wolf, S.; Pflüger-Grau, K.; Kremling, A., 2016:
Modeling the Interplay of Pseudomonas putida EIIA with the Potassium Transporter KdpFABC

Modi, N.; Benz, R.; Hancock, R.E.W.; Kleinekathöfer, U., 2012:
Modeling the Ion Selectivity of the Phosphate Specific Channel OprP

Sun, B.; Dong, H.; He, D.; Rao, D.; Guan, X., 2016:
Modeling the Kinetics of Contaminants Oxidation and the Generation of Manganese(III) in the Permanganate/Bisulfite Process

Verdier, Tée.; Foret, L.; Castelnovo, M., 2016:
Modeling the Kinetics of Open Self-Assembly

Sanwald, J.; Albrecht, U.; Wagenpfeil, J.; Thomas, M.; Sawodny, O.; Bode, J.G.; Feuer, R., 2016:
Modeling the LPS-induced effects on transcription factor activation and gene expression in murine macrophages

Osteen, P.; Frey, J.M.; Woods, M.N.; Ko, J.; Shipe, S., 2016:
Modeling the Longitudinal Direct and Indirect Effects of Attitudes, Self-Efficacy, and Behavioral Intentions on Practice Behavior Outcomes of Suicide Intervention Training

Liger-Belair, Gérard., 2016:
Modeling the Losses of Dissolved CO2 from Laser-Etched Champagne Glasses

Rockson, S.G., 2016:
Modeling the Lymphatics

Ferasyi, T.R.; Barrett, P.Hugh.R.; Blache, D.; Martin, G.B., 2017:
Modeling the Male Reproductive Endocrine Axis: Potential Role for a Delay Mechanism in the Inhibitory Action of Gonadal Steroids on GnRH Pulse Frequency

Unckless, R.L.; Messer, P.W.; Connallon, T.; Clark, A.G., 2016:
Modeling the Manipulation of Natural Populations by the Mutagenic Chain Reaction

Fuelscher, I.; Williams, J.; Wilmut, K.; Enticott, P.G.; Hyde, C., 2016:
Modeling the Maturation of Grip Selection Planning and Action Representation: Insights from Typical and Atypical Motor Development

Lee, J.Bong.; Derome, D.; Guyer, R.; Carmeliet, J., 2016:
Modeling the Maximum Spreading of Liquid Droplets Impacting Wetting and Nonwetting Surfaces

Fan, R.; Gong, H.; Zhang, X.; Liu, J.; Jia, Z.; Zhu, D., 2016:
Modeling the Mechanical Consequences of Age-Related Trabecular Bone Loss by XFEM Simulation

Wu, T.; Feng, J.J., 2016:
Modeling the Mechanosensitivity of Neutrophils Passing through a Narrow Channel

Barnard, A.S.; Zapol, P.; Curtiss, L.A., 2005:
Modeling the Morphology and Phase Stability of TiO2 Nanocrystals in Water

Leiboff, S.; DeAllie, C.K.; Scanlon, M.J., 2016:
Modeling the Morphometric Evolution of the Maize Shoot Apical Meristem

Zeoli, A.M.; Grady, S.; Pizarro, J.M.; Melde, C., 2015:
Modeling the Movement of Homicide by Type to Inform Public Health Prevention Efforts

Pouch, A.M.; Jackson, B.M.; Lai, E.; Takebe, M.; Tian, S.; Cheung, A.T.; Woo, Y.Joseph.; Patel, P.A.; Wang, H.; Yushkevich, P.A.; Gorman, R.C.; Gorman, J.H., 2016:
Modeling the Myxomatous Mitral Valve With Three-Dimensional Echocardiography

Cheyette, S.J.; Plaut, D.C., 2016:
Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension

Cohen, D.M., 2016:
Modeling the Neurologic and Cognitive Effects of Hyponatremia

Ibrahim, G.; Rona, A.; Hainsworth, S.V., 2016:
Modeling the Nonlinear Motion of the Rat Central Airways

Lamas, L.; Santana, F.; Heiner, M.; Ugrinowitsch, C.; Fellingham, G., 2016:
Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball

Berman, Y.; Shapira, Y.; Ben-Jacob, E., 2016:
Modeling the Origin and Possible Control of the Wealth Inequality Surge

Gronchi, G.; Raglianti, M.; Noventa, S.; Lazzeri, A.; Guazzini, A., 2016:
Modeling the Overalternating Bias with an Asymmetric Entropy Measure

Maitra, A.; Dill, K.A., 2016:
Modeling the Overproduction of Ribosomes when Antibacterial Drugs Act on Cells

Wang, B.; Li, S.L.; Truhlar, D.G., 2015:
Modeling the Partial Atomic Charges in Inorganometallic Molecules and Solids and Charge Redistribution in Lithium-Ion Cathodes

Thompson, L.M.; Hratchian, H.P., 2015:
Modeling the Photoelectron Spectra of MoNbO2(-) Accounting for Spin Contamination in Density Functional Theory

Novak, M.T.; Reichert, W.M., 2016:
Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo

Fortelius, M.; Geritz, S.; Gyllenberg, M.; Raia, P.; Toivonen, J., 2016:
Modeling the Population-Level Processes of Biodiversity Gain and Loss at Geological Timescales

Sadeghi, O.; Djafarian, K.; Ghorabi, S.; Khodadost, M.; Nasiri, M.; Shab-Bidar, S., 2017:
Dietary intake of fish, n-3 polyunsaturated fatty acids and risk of hip fracture: A systematic review and meta-analysis on observational studies

Warntjes, M.; Engström, M.; Tisell, A.; Lundberg, P., 2016:
Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI

Springer, Y.P.; Jarnevich, C.S.; Barnett, D.T.; Monaghan, A.J.; Eisen, R.J., 2016:
Modeling the Present and Future Geographic Distribution of the Lone Star Tick, Amblyomma americanum (Ixodida: Ixodidae), in the Continental United States

Enciso, J.; Mayani, H.; Mendoza, L.; Pelayo, R., 2016:
Modeling the Pro-inflammatory Tumor Microenvironment in Acute Lymphoblastic Leukemia Predicts a Breakdown of Hematopoietic-Mesenchymal Communication Networks

Hamlington, K.L.; Ma, B.; Smith, B.J.; Bates, J.H.T., 2016:
Modeling the Progression of Epithelial Leak Caused by Overdistension

Wu, H-Tieng.; Wu, H-Kuei.; Wang, C-Li.; Yang, Y-Lung.; Wu, W-Hsiang.; Tsai, T-Hu.; Chang, H-Hong., 2017:
Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform

Geller, M.A.; Zhou, T.; Shindell, D.; Ruedy, R.; Aleinov, I.; Nazarenko, L.; Tausnev, N.L.; Kelley, M.; Sun, S.; Cheng, Y.; Field, R.D.; Faluvegi, G., 2016:
Modeling the QBO-Improvements resulting from higher-model vertical resolution

Mantel, C.; Sogaard, J.; Bech, S.; Korhonen, J.; Pedersen, J.Melgaard.; Forchhammer, S., 2016:
Modeling the Quality of Videos Displayed With Local Dimming Backlight at Different Peak White and Ambient Light Levels

Philipson, C.W.; Bassaganya-Riera, J.; Viladomiu, M.; Kronsteiner, B.; Abedi, V.; Hoops, S.; Michalak, P.; Kang, L.; Girardin, S.E.; Hontecillas, R., 2016:
Modeling the Regulatory Mechanisms by Which NLRX1 Modulates Innate Immune Responses to Helicobacter pylori Infection

Tighe, E.L.; Schatschneider, C., 2016:
Modeling the Relations Among Morphological Awareness Dimensions, Vocabulary Knowledge, and Reading Comprehension in Adult Basic Education Students

Xu, X.Steven.; Ryan, C.J.; Stuyckens, K.; Smith, M.R.; Saad, F.; Griffin, T.W.; Park, Y.C.; Yu, M.K.; De Porre, P.; Vermeulen, A.; Poggesi, I.; Nandy, P., 2016:
Modeling the Relationship Between Exposure to Abiraterone and Prostate-Specific Antigen Dynamics in Patients with Metastatic Castration-Resistant Prostate Cancer

Guthrie, J.T.; Klauda, S.Lutz.; Ho, A.N., 2013:
Modeling the Relationships Among Reading Instruction, Motivation, Engagement, and Achievement for Adolescents

Feist, T.J.; Pauer, J.J.; Melendez, W.; Lehrter, J.C.; DePetro, P.A.; Rygwelski, K.R.; Ko, D.S.; Kreis, R.G., 2017:
Modeling the Relative Importance of Nutrient and Carbon Loads, Boundary Fluxes, and Sediment Fluxes on Gulf of Mexico Hypoxia

Varshney, V.; Roy, A.K.; Baur, J.W., 2015:
Modeling the Role of Bulk and Surface Characteristics of Carbon Fiber on Thermal Conductance across the Carbon-Fiber/Matrix Interface

Ripoll, D.R.; Khavrutskii, I.; Wallqvist, A.; Chaudhury, S., 2016:
Modeling the Role of Epitope Arrangement on Antibody Binding Stoichiometry in Flaviviruses

Leber, A.; Bassaganya-Riera, J.; Tubau-Juni, N.; Zoccoli-Rodriguez, V.; Viladomiu, M.; Abedi, V.; Lu, P.; Hontecillas, R., 2016:
Modeling the Role of Lanthionine Synthetase C-Like 2 (LANCL2) in the Modulation of Immune Responses to Helicobacter pylori Infection

Isakov, A.; Holcomb, A.; Glowacki, L.; Christakis, N.A., 2016:
Modeling the Role of Networks and Individual Differences in Inter-Group Violence

Murase, Y.; Jo, H-Hyun.; Török, János.; Kertész, János.; Kaski, K., 2016:
Modeling the Role of Relationship Fading and Breakup in Social Network Formation

Hinners, J.; Hofmeister, R.; Hense, I., 2015:
Modeling the Role of pH on Baltic Sea Cyanobacteria

Kyrtsos, C.Rose.; Baras, J.S., 2016:
Modeling the Role of the Glymphatic Pathway and Cerebral Blood Vessel Properties in Alzheimer's Disease Pathogenesis

Sahni, E.K.; Pikal, M.J., 2016:
Modeling the Secondary Drying Stage of Freeze Drying: Development and Validation of an Excel-Based Model

Marchi, M.; Abel, Séphane., 2015:
Modeling the Self-Aggregation of Small AOT Reverse Micelles from First-Principles

Kraft, J.F.; Vestergaard, M.; Schiøtt, B.; Thøgersen, L., 2012:
Modeling the Self-Assembly and Stability of DHPC Micelles Using Atomic Resolution and Coarse Grained MD Simulations

Roussel, T.J.; Vega, L.F., 2013:
Modeling the Self-Assembly of Nano Objects: Applications to Supramolecular Organic Monolayers Adsorbed on Metal Surfaces

Schultz, M.T.; Lance, R.F., 2016:
Modeling the Sensitivity of Field Surveys for Detection of Environmental DNA (eDNA)

Wang, S.; Hottz, P.; Schechter, M.; Rong, L., 2016:
Modeling the Slow CD4+ T Cell Decline in HIV-Infected Individuals

Sun, J.; Hinton, M.G.; Webster, D.G., 2016:
Modeling the Spatial Dynamics of International Tuna Fleets

Stujenske, J.M.; Spellman, T.; Gordon, J.A., 2016:
Modeling the Spatiotemporal Dynamics of Light and Heat Propagation for In Vivo Optogenetics

Do, T.Sug.; Lee, Y.S., 2016:
Modeling the Spread of Ebola

Bernasconi, A.; Dapiaggi, M.; Pavese, A.; Agostini, G.; Bernasconi, M.; Bowron, D.T., 2016:
Modeling the Structure of Complex Aluminosilicate Glasses: The Effect of Zinc Addition

Morsnowski, Aé.; Maune, S., 2017:
Modeling the Test-Retest Statistics of a Localization Experiment in the Full Horizontal Plane

Darville, N.; van Heerden, M.; Erkens, T.; D.J.nghe, S.; Vynckier, A.; D.M.ulder, M.; Vermeulen, A.; Sterkens, P.; Annaert, P.; Van den Mooter, G., 2015:
Modeling the Time Course of the Tissue Responses to Intramuscular Long-acting Paliperidone Palmitate Nano-/Microcrystals and Polystyrene Microspheres in the Rat

Possas, Aícia.M.M.; Posada-Izquierdo, G.D.; Pérez-Rodríguez, F.; García-Gimeno, R.M., 2016:
Modeling the Transfer of Salmonella Enteritidis during Slicing of Ready-to-Eat Turkey Products Treated with Thyme Essential Oil

Xia, Z-Qiang.; Zhang, J.; Xue, Y-Kui.; Sun, G-Quan.; Jin, Z., 2016:
Modeling the Transmission of Middle East Respirator Syndrome Corona Virus in the Republic of Korea

Abernathy, K.; Burke, J., 2016:
Modeling the Treatment of Glioblastoma Multiforme and Cancer Stem Cells with Ordinary Differential Equations

Galindo-Garre, F.; Hidalgo, Mía.Dolores.; Guilera, G.; Pino, O.; Rojo, J.Emilio.; Gómez-Benito, J., 2015:
Modeling the World Health Organization Disability Assessment Schedule II using non-parametric item response models

Sui, H.; Li, L.; Zhu, X.; Chen, D.; Wu, G., 2016:
Modeling the adsorption of PAH mixture in silica nanopores by molecular dynamic simulation combined with machine learning

Khrapko, K.; Trayanova, N.; Nattel, S., 2016:
Modeling the aging heart: from local respiratory defects to global rhythm disturbances

Mehrotra, S.; Kilambi, V.; Gilroy, R.; Ladner, D.P.; Klintmalm, G.B.; Kaplan, B., 2015:
Modeling the allocation system: principles for robust design before restructuring

Barrera, E.L.; Spanjers, H.; Solon, K.; Amerlinck, Y.; Nopens, I.; Dewulf, J., 2016:
Modeling the anaerobic digestion of cane-molasses vinasse: extension of the Anaerobic Digestion Model No. 1 (ADM1) with sulfate reduction for a very high strength and sulfate rich wastewater

Gaudreault, Fçois.; Drolet, P.; Fallaha, M.; Varin, F., 2015:
Modeling the anesthetic effect of ropivacaine after a femoral nerve block in orthopedic patients: a population pharmacokinetic-pharmacodynamic analysis

Hu, X.; Cueff, Sébastien.; Romeo, P.Rojo.; Orobtchouk, Régis., 2015:
Modeling the anisotropic electro-optic interaction in hybrid silicon-ferroelectric optical modulator

Salter, E.A.; Honkanen, R.E.; Wierzbicki, A., 2015:
Modeling the antiferromagnetic MnIIMnII system within the protein phosphatase-5 catalytic site

DeWind, N.K.; Adams, G.K.; Platt, M.L.; Brannon, E.M., 2015:
Modeling the approximate number system to quantify the contribution of visual stimulus features

Fekete, A.; Komáromi, Ián., 2016:
Modeling the archetype cysteine protease reaction using dispersion corrected density functional methods in ONIOM-type hybrid QM/MM calculations; the proteolytic reaction of papain

Ferrage, E.; Hubert, F.; Tertre, E.; Delville, A.; Michot, L.J.; Levitz, P., 2015:
Modeling the arrangement of particles in natural swelling-clay porous media using three-dimensional packing of elliptic disks

Valero, E.; Macià, H.; De la Fuente, I.M.; Hernández, Jé-Antonio.; González-Sánchez, Mía-Isabel.; García-Carmona, F., 2016:
Modeling the ascorbate-glutathione cycle in chloroplasts under light/dark conditions

Turner, C.Heath.; Lei, Y.; Bao, Y., 2016:
Modeling the atomistic growth behavior of gold nanoparticles in solution

Ben-Reuven, L.; Reiner, O., 2016 :
Modeling the autistic cell: iPSCs recapitulate developmental principles of syndromic and nonsyndromic ASD

Kulig, A.; Drożdż, Sław.; Kwapień, Jław.; Oświȩcimka, Pł., 2015:
Modeling the average shortest-path length in growth of word-adjacency networks

Mtimet, N.; Trunet, Cément.; Mathot, A-Gabrielle.; Venaille, L.; Leguérinel, I.; Coroller, L.; Couvert, O., 2015:
Modeling the behavior of Geobacillus stearothermophilus ATCC 12980 throughout its life cycle as vegetative cells or spores using growth boundaries

Augustin, J-Christophe.; Kalmokoff, M.; Ells, T.; Favret, S.; Desreumaux, J.; Decourseulles Brasseur, E.; Gnanou Besse, N., 2016:
Modeling the behavior of Listeria monocytogenes during enrichment in half Fraser broth; impact of pooling and the duration of enrichment on the detection of L. monocytogenes in food

Gupta, S.; Basant, N.; Rai, P.; Singh, K.P., 2016:
Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches

Verbruggen, S.W.; Loo, J.H.W.; Hayat, T.T.A.; Hajnal, J.V.; Rutherford, M.A.; Phillips, A.T.M.; Nowlan, N.C., 2017:
Modeling the biomechanics of fetal movements

Kaizer, A.M.; Foré, S.A.; Kim, H-J.; York, E.C., 2016:
Modeling the biotic and abiotic factors that describe the number of active off-host Amblyomma americanum larvae

Marlow, R.; Dontu, G., 2016:
Modeling the breast cancer bone metastatic niche in complex three-dimensional cocultures

Mahlich, Jörg.; Nishi, M.; Saito, Y., 2015:
Modeling the budget impact of long-acting injectable paliperidone palmitate in the treatment of schizophrenia in Japan

Chua, Y.; Morrison, A.; Helias, M., 2015:
Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime

Kuntz, L.B.; Laakso, T.A.; Schrag, D.P.; Crowe, S.A., 2016:
Modeling the carbon cycle in Lake Matano

Gu, Y., 2016:
Modeling the cellular mechanisms and olfactory input underlying the triphasic response of moth pheromone-sensitive projection neurons

Harper, L.K.; Bayse, C.A., 2017:
Modeling the chelation of As(III) in lewisite by dithiols using density functional theory and solvent-assisted proton exchange

Crassini, K.; Shen, Y.; Mulligan, S.; Giles Best, O., 2016:
Modeling the chronic lymphocytic leukemia microenvironment in vitro

Xie, Z.; Ouyang, Z.; Zhang, P.; Yi, D.; Kong, D., 2016:
Modeling the citation network by network cosmology

Su, W.; Huang, J.; Chen, F.; Iacobucci, W.; Mocarski, M.; Dall, T.M.; Perreault, L., 2016:
Modeling the clinical and economic implications of obesity using microsimulation

Petscher, Y.; Quinn, J.M.; Wagner, R.K., 2016:
Modeling the co-development of correlated processes with longitudinal and cross-construct effects

Seetha, N.; Mohan Kumar, M.S.; Majid Hassanizadeh, S., 2016:
Modeling the co-transport of viruses and colloids in unsaturated porous media

Maisel, M.E.; Stephenson, K.G.; South, M.; Rodgers, J.; Freeston, M.H.; Gaigg, S.B., 2016 :
Modeling the cognitive mechanisms linking autism symptoms and anxiety in adults

HafezQorani, S.; Lafzi, A.; de Bruin, R.G.; van Zonneveld, A.Jan.; van der Veer, E.P.; Son, Yşim.Aydın.; Kazan, H., 2017:
Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation

Knittel, A.K.; Snow, R.C.; Riolo, R.L.; Griffith, D.M.; Morenoff, J., 2016:
Modeling the community-level effects of male incarceration on the sexual partnerships of men and women

Ye, M.; Yu, M.; Li, Z.; Yin, F.; Hu, Q., 2015:
Modeling the commuting travel activities within historic districts in Chinese cities

Marang, L.; van Loosdrecht, M.C.M.; Kleerebezem, R., 2016:
Modeling the competition between PHA-producing and non-PHA-producing bacteria in feast-famine SBR and staged CSTR systems

de Mooij, T.; Schediwy, K.; Wijffels, Ré.H.; Janssen, M., 2016:
Modeling the competition between antenna size mutant and wild type microalgae in outdoor mass culture

Fernandez-Funez, P.; de Mena, L.; Rincon-Limas, D.E., 2016:
Modeling the complex pathology of Alzheimer's disease in Drosophila

Gonzalez, K.; Tebbani, S.; Lopes, F.; Thorigné, A.; Givry, Sébastien.; Dumur, D.; Pareau, D., 2016:
Modeling the continuous lactic acid production process from wheat flour

Brandão, F.Sofia.Quintela.da.Silva.; Parente, M.Paulo.Lages.; Rocha, P.Alexandre.Gomes.Gonçalves.; Saraiva, M.Teresa.da.Quinta.E.Costa.de.Mascarenhas.; Ramos, I.Maria.Amorim.Pereira.; Natal Jorge, R.Manuel., 2016:
Modeling the contraction of the pelvic floor muscles

Miller, B.F.; Wolff, C.A.; Peelor, F.F.; Shipman, P.D.; Hamilton, K.L., 2015:
Modeling the contribution of individual proteins to mixed skeletal muscle protein synthetic rates over increasing periods of label incorporation

Marino, C.; Vieno, A.; Pastore, M.; Albery, I.P.; Frings, D.; Spada, M.M., 2018:
Modeling the contribution of personality, social identity and social norms to problematic Facebook use in adolescents

Li, L.; Li, M.; Liu, J.; Wan, J.; Xie, Z.; Wang, W.; Zhou, Y.; Ding, S.; Li, B.; Li, Z.; Xuan, J., 2015:
Modeling the cost-effectiveness of a new covered stent (willis) vs. Endovascular coil occlusion for the treatment of intracranial aneurysms in china

Xuan, J.W.; Song, R.L.; Xu, G.X.; Lu, W.Q.; Lu, Y.J.; Liu, Z., 2016:
Modeling the cost-effectiveness of ilaprazole versus omeprazole for the treatment of newly diagnosed duodenal ulcer patients in China

Kuhlmann, A.; von der Schulenburg, J-Matthias.Graf., 2016:
Modeling the cost-effectiveness of infant vaccination with pneumococcal conjugate vaccines in Germany

Epstein, D.; García-Mochón, L.; Kaptoge, S.; Thompson, S.G., 2015:
Modeling the costs and long-term health benefits of screening the general population for risks of cardiovascular disease: a review of methods used in the literature

Mathias, P.C.; Tarczy-Hornoch, P.; Shirts, B.H., 2016:
Modeling the costs of clinical decision support for genomic precision medicine

Bergamaschi, R.; Montomoli, C., 2016:
Modeling the course and outcomes of MS is statistical twaddle--No

Taylor, B.V., 2016:
Modeling the course and outcomes of multiple sclerosis is statistical twaddle--Yes

Peleg, M.; Normand, M.D.; Dixon, W.R.; Goulette, T.R., 2016 :
Modeling the degradation kinetics of ascorbic acid

He, W.; Bhole, S.D.; Chen, D., 2008:
Modeling the dependence of strength on grain sizes in nanocrystalline materials

Chen, X.; Matsuzawa, T.; Hitsu, E.; Zhong, W.; Qian, Z.; Jiang, J.; Hu, P., 2015:
Modeling the dermatopharmacokinetic profile of two loxoprofen patches for bioequivalence confirmation

Pannala, V.R.; Camara, A.K.S.; Dash, R.K., 2016:
Modeling the detailed kinetics of mitochondrial cytochrome c oxidase: Catalytic mechanism and nitric oxide inhibition

De Cort, K.; Schroijen, M.; Hurlemann, R.; Claassen, S.; Hoogenhout, J.; Van den Bergh, O.; Goossens, L.; Van Diest, I.; Schruers, K., 2016:
Modeling the development of panic disorder with interoceptive conditioning

Sturdy, J.; Ottesen, J.T.; Olufsen, M.S., 2016:
Modeling the differentiation of A- and C-type baroreceptor firing patterns

Prosnier, Lïc.; Loreau, M.; Hulot, F.D., 2015:
Modeling the direct and indirect effects of copper on phytoplankton-zooplankton interactions

Bonamano, S.; Madonia, A.; Borsellino, C.; Stefanì, C.; Caruso, G.; D.P.squale, F.; Piermattei, V.; Zappalà, G.; Marcelli, M., 2016:
Modeling the dispersion of viable and total Escherichia coli cells in the artificial semi-enclosed bathing area of Santa Marinella (Latium, Italy)

Tenison, C.; Anderson, J.R., 2017:
Modeling the distinct phases of skill acquisition

Sormani, M.Pia., 2012:
Modeling the distribution of new MRI cortical lesions in multiple sclerosis longitudinal studies by Sormani MP, Calabrese M, Signori A, Giorgio A, Gallo P, De Stefano N [PLoS One 2011;6(10):e26712. Epub 2011 October 20

Shajari, A.; Sanjerehei, M.Mousaei., 2016:
Modeling the distribution of urolithiasis prevalence under projected climate change in Iran

Larbat, R.; Robin, C.; Lillo, C.; Drengstig, T.; Ruoff, P., 2017:
Modeling the diversion of primary carbon flux into secondary metabolism under variable nitrate and light/dark conditions

Costalat, G.; Pichon, Aélien.; Joulia, F.; Lemaître, Fédéric., 2016:
Modeling the diving bradycardia: Toward an "oxygen-conserving breaking point"?

Olid, C.; Diego, D.; Garcia-Orellana, J.; Cortizas, A.Martínez.; Klaminder, J., 2015:
Modeling the downward transport of (210)Pb in Peatlands: Initial Penetration-Constant Rate of Supply (IP-CRS) model

Caccavo, D.; Cascone, S.; Lamberti, G.; Barba, A.Angela., 2016:
Modeling the drug release from hydrogel-based matrices

Li, X.; Zhang, J.H.; Betts, R.F.; Morrison, V.A.; Xu, R.; Itzler, R.F.; Acosta, C.J.; Dasbach, E.J.; Pellissier, J.M.; Johnson, G.R.; Chan, I.S.F., 2015:
Modeling the durability of ZOSTAVAX® vaccine efficacy in people ≥60 years of age

Hamilton, J.G.; Mays, D.; DeMarco, T.; Tercyak, K.P., 2017:
Modeling the dyadic effects of parenting, stress, and coping on parent-child communication in families tested for hereditary breast-ovarian cancer risk

Shi, E.; Li, J.; Leu, S-Yuan.; Antwi, P., 2016:
Modeling the dynamic volatile fatty acids profiles with pH and hydraulic retention time in an anaerobic baffled reactor during the startup period

Mendez, A.; Ng, C.A.; Torres, Jão.Paulo.Machado.; Bastos, W.; Bogdal, C.; Dos Reis, G.Alexandre.; Hungerbuehler, K., 2015:
Modeling the dynamics of DDT in a remote tropical floodplain: indications of post-ban use?

Adekunle, A.I.; Pinkevych, M.; McGready, R.; Luxemburger, C.; White, L.J.; Nosten, Fçois.; Cromer, D.; Davenport, M.P., 2016:
Modeling the dynamics of Plasmodium vivax infection and hypnozoite reactivation in vivo

Ben-Isaac, E.; Fodor, É.; Visco, P.; van Wijland, F.; Gov, N.S., 2016:
Modeling the dynamics of a tracer particle in an elastic active gel

Wasnik, V.; Mukhopadhyay, R., 2014:
Modeling the dynamics of dendritic actin waves in living cells

Remien, C.H., 2015:
Modeling the dynamics of stable isotope tissue-diet enrichment

Gorbachev, V.V.; Lapinsky, A.G.; Prikoki, O.V.; Solovenchuk, L.L., 2015:
Modeling the dynamics of the effective population size of the Okhotsk Sea pollock in the Holocene era on the basis of genetic variability in the Nd2 and Cytb mtDNA loci

Yoshida, M.; Kitaoka, S.; Egawa, N.; Yamane, M.; Ikeda, R.; Tsukita, K.; Amano, N.; Watanabe, A.; Morimoto, M.; Takahashi, J.; Hosoi, H.; Nakahata, T.; Inoue, H.; Saito, M.K., 2016:
Modeling the early phenotype at the neuromuscular junction of spinal muscular atrophy using patient-derived iPSCs

Calmon, P.; Gonze, M-A.; Mourlon, C., 2015:
Modeling the early-phase redistribution of radiocesium fallouts in an evergreen coniferous forest after Chernobyl and Fukushima accidents

Walsh, M.; Haseeb, M.A., 2015:
Modeling the ecologic niche of plague in sylvan and domestic animal hosts to delineate sources of human exposure in the western United States

Bartsch, S.M.; Hotez, P.J.; Hertenstein, D.L.; Diemert, D.J.; Zapf, K.M.; Bottazzi, M.Elena.; Bethony, J.M.; Brown, S.T.; Lee, B.Y., 2016:
Modeling the economic and epidemiologic impact of hookworm vaccine and mass drug administration (MDA) in Brazil, a high transmission setting

Birger, R.; Kouyos, R.; Dushoff, J.; Grenfell, B., 2016:
Modeling the effect of HIV coinfection on clearance and sustained virologic response during treatment for hepatitis C virus

Gireesan, S.; Pandit, A.B., 2016:
Modeling the effect of carbon-dioxide gas on cavitation

Caniparoli, L.; O'Brien, E.P., 2016:
Modeling the effect of codon translation rates on co-translational protein folding mechanisms of arbitrary complexity

Ahlfors, S.P.; Wreh, C., 2016:
Modeling the effect of dendritic input location on MEG and EEG source dipoles

Phillips, G.M.A.; Shorten, P.R.; Wake, G.C.; Guan, J., 2016:
Modeling the effect of insulin-like growth factor-1 on human cell growth

de Oliveira, Lília.Maria.; Maillard, P.; de Andrade Pinto, Éber.José., 2016:
Modeling the effect of land use/land cover on nitrogen, phosphorous and dissolved oxygen loads in the Velhas River using the concept of exclusive contribution area

Safaai, H.; Neves, R.; Eschenko, O.; Logothetis, N.K.; Panzeri, S., 2016:
Modeling the effect of locus coeruleus firing on cortical state dynamics and single-trial sensory processing

Li, Z.; Du, J.; Zhao, Y.; Wang, Y.; Leng, Y.; Shao, J., 2015:
Modeling the effect of nanosecond laser conditioning on the femtosecond laser-induced damage of optical films

Tavakoli Kashani, A.; Rabieyan, R.; Besharati, M.Mehdi., 2016:
Modeling the effect of operator and passenger characteristics on the fatality risk of motorcycle crashes

Saladino, G.; Gervasio, F.Luigi., 2016:
Modeling the effect of pathogenic mutations on the conformational landscape of protein kinases

Binion, W.R.; Friend, T.H., 2015:
Modeling the effect of reflective calf hutch covers on reducing heat loss

Fung, I.Chun-Hai.; Gambhir, M.; Glasser, J.W.; Gao, H.; Washington, M.L.; Uzicanin, A.; Meltzer, M.I., 2015:
Modeling the effect of school closures in a pandemic scenario: exploring two different contact matrices

Costa, M.Schellenberger.; Born, J.; Claussen, J.Christian.; Martinetz, T., 2016:
Modeling the effect of sleep regulation on a neural mass model

Manson, S.M.; Jordan, N.R.; Nelson, K.C.; Brummel, R.F., 2016:
Modeling the effect of social networks on adoption of multifunctional agriculture

van Eijkeren, J.C.H.; Olie, J.Daniël.N.; Bradberry, S.M.; Vale, J.Allister.; de Vries, I.; Clewell, H.J.; Meulenbelt, J.; Hunault, C.C., 2016:
Modeling the effect of succimer (DMSA; dimercaptosuccinic acid) chelation therapy in patients poisoned by lead

Szczawiński, J.; Szczawińska, M.E.; Łobacz, A.; Jackowska-Tracz, A., 2016:
Modeling the effect of temperature on survival rate of Listeria monocytogenes in yogurt

Chaudhury, S., 2016:
Modeling the effect of transcriptional noise on switching in gene networks in a genetic bistable switch

Ákos Szabó, C.; Salinas, F.S.; Li, K.; Franklin, C.; Leland, M.Michelle.; Fox, P.T.; Laird, A.R.; Narayana, S., 2017:
Modeling the effective connectivity of the visual network in healthy and photosensitive, epileptic baboons

Gueho, F.; Beaune, Sébastien.; Devillier, P.; Urien, S.; Faisy, C., 2016:
Modeling the effectiveness of nebulized terbutaline for decompensated chronic obstructive pulmonary disease patients in the emergency department

Chen, C.; Xie, Y., 2016:
Modeling the effects of AADT on predicting multiple-vehicle crashes at urban and suburban signalized intersections

Zañartu, Mías.; Galindo, G.E.; Erath, B.D.; Peterson, S.D.; Wodicka, G.R.; Hillman, R.E., 2015:
Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction

Wilson, J.D.; Blanco, J.A.; Mazar, S.; Bly, M., 2015:
Modeling the effects of biological tissue on RF propagation from a wrist-worn device

Keith, D.; Wagner, G.; Moreno-Cruz, J., 2016:
Modeling the effects of climate engineering

Idder-Ighili, H.; Idder, M.Azzedine.; Doumandji-Mitiche, B.; Chenchouni, H., 2016:
Modeling the effects of climate on date palm scale (Parlatoria blanchardi) population dynamics during different phenological stages of life history under hot arid conditions

Kilbride, P.; Woodward, H.J.; Tan, K.Boone.; Thanh, Nễn.T.K.; Chu, K.M.Emily.; Minogue, S.; Waugh, M.G., 2015:
Modeling the effects of cyclodextrin on intracellular membrane vesicles from Cos-7 cells prepared by sonication and carbonate treatment

Bacak, B.J.; Segaran, J.; Molkov, Y.I., 2016:
Modeling the effects of extracellular potassium on bursting properties in pre-Bötzinger complex neurons

Jiang, N.; Bailey, M.E.; Burke, J.; Ross, J.L.; Dima, R.I., 2016:
Modeling the effects of lattice defects on microtubule breaking and healing

Rouseff, D.; Lunkov, A.A., 2015:
Modeling the effects of linear shallow-water internal waves on horizontal array coherence

Hartwigsen, G.; Bergmann, T.Ole.; Herz, D.Marc.; Angstmann, S.; Karabanov, A.; Raffin, E.; Thielscher, A.; Siebner, H.Roman., 2016:
Modeling the effects of noninvasive transcranial brain stimulation at the biophysical, network, and cognitive level

Drozdov, A.D.; deClaville Christiansen, J., 2015:
Modeling the effects of pH and ionic strength on swelling of polyelectrolyte gels

Erazo, D.; Cordovez, J., 2017:
Modeling the effects of palm-house proximity on the theoretical risk of Chagas disease transmission in a rural locality of the Orinoco basin, Colombia

Gao, X.P.; Li, G.N.; Li, G.R.; Zhang, C., 2015:
Modeling the effects of point and non-point source pollution on a diversion channel from Yellow River to an artificial lake in China

Liu, R.; Layton, A.T., 2016:
Modeling the effects of positive and negative feedback in kidney blood flow control

Lorz, A.; Lorenzi, T.; Clairambault, J.; Escargueil, A.; Perthame, Bît., 2016:
Modeling the effects of space structure and combination therapies on phenotypic heterogeneity and drug resistance in solid tumors

Park, C.Min.; Heo, J.; Her, N.; Chu, K.Hoon.; Jang, M.; Yoon, Y., 2017:
Modeling the effects of surfactant, hardness, and natural organic matter on deposition and mobility of silver nanoparticles in saturated porous media

Cooper, R.L.; Segal, R.A.; Diegelmann, R.F.; Reynolds, A.M., 2015:
Modeling the effects of systemic mediators on the inflammatory phase of wound healing

Silva, L.P.; Gonzales-Barron, U.; Cadavez, V.; Sant'Ana, A.S., 2015:
Modeling the effects of temperature and pH on the resistance of Alicyclobacillus acidoterrestris in conventional heat-treated fruit beverages through a meta-analysis approach

Abichou, T.; Kormi, T.; Yuan, L.; Johnson, T.; Francisco, E., 2015:
Modeling the effects of vegetation on methane oxidation and emissions through soil landfill final covers across different climates

Toloni, I.; Lehmann, Fçois.; Ackerer, P., 2016:
Modeling the effects of water content on TiO2 nanoparticles transport in porous media

Toloni, I.; Lehmann, Fçois.; Ackerer, P., 2015:
Modeling the effects of water velocity on TiO2 nanoparticles transport in saturated porous media

Hathout, L.; Ellingson, B.; Pope, W., 2016:
Modeling the efficacy of the extent of surgical resection in the setting of radiation therapy for glioblastoma

Baskaran, A.; Ratsch, C.; Smereka, P., 2016:
Modeling the elastic energy of alloys: Potential pitfalls of continuum treatments

Behnia, S.; Fathizadeh, S., 2016:
Modeling the electrical conduction in DNA nanowires: charge transfer and lattice fluctuation theories

LaMalfa Ribolla, E.; Rizzo, P., 2016:
Modeling the electromechanical impedance technique for the assessment of dental implant stability

Tria, F.; Servedio, V.D.P.; Mufwene, S.S.; Loreto, V., 2016:
Modeling the emergence of contact languages

Male, D.; Wu, W.; Mitchell, N.J.; Bursian, S.; Pestka, J.J.; Wu, F., 2016:
Modeling the emetic potencies of food-borne trichothecenes by benchmark dose methodology

Friesen, D.E.; Baracos, V.E.; Tuszynski, J.A., 2016:
Modeling the energetic cost of cancer as a result of altered energy metabolism: implications for cachexia

Yashin, V.V.; Levitan, S.P.; Balazs, A.C., 2016:
Modeling the entrainment of self-oscillating gels to periodic mechanical deformation

Reynolds, H.T.; Ingersoll, T.; Barton, H.A., 2015:
Modeling the environmental growth of Pseudogymnoascus destructans and its impact on the white-nose syndrome epidemic

Atangana, A., 2016:
Modeling the enzyme kinetic reaction

Davila-Velderrain, J.; Martinez-Garcia, J.C.; Alvarez-Buylla, E.R., 2015:
Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of development

Diddens, C.; Kuerten, J.G.M.; van der Geld, C.W.M.; Wijshoff, H.M.A., 2016:
Modeling the evaporation of sessile multi-component droplets

Fierst, J.L.; Phillips, P.C., 2015:
Modeling the evolution of complex genetic systems: the gene network family tree

Mesterton-Gibbons, M.; Dai, Y.; Goubault, Mène., 2016:
Modeling the evolution of winner and loser effects: A survey and prospectus

Greenman, C.D.; Cooke, S.L.; Marshall, J.; Stratton, M.R.; Campbell, P.J., 2016:
Modeling the evolution space of breakage fusion bridge cycles with a stochastic folding process

Patel, M.; Joshi, B., 2016:
Modeling the evolving oscillatory dynamics of the rat locus coeruleus through early infancy

Cuervo, P.F.; Rinaldi, L.; Cringoli, G., 2016:
Modeling the extrinsic incubation of Dirofilaria immitis in South America based on monthly and continuous climatic data

Hanamoto, S.; Hasegawa, E.; Nakada, N.; Yamashita, N.; Tanaka, H., 2016:
Modeling the fate of a photoproduct of ketoprofen in urban rivers receiving wastewater treatment plant effluent

Burch, T.R.; Sadowsky, M.J.; LaPara, T.M., 2015:
Modeling the fate of antibiotic resistance genes and class 1 integrons during thermophilic anaerobic digestion of municipal wastewater solids

Fang, S-Ming.; Zhang, X.; Bao, L-Jun.; Zeng, E.Y., 2016:
Modeling the fate of p,p'-DDT in water and sediment of two typical estuarine bays in South China: Importance of fishing vessels' inputs

Miao, Y.; Liu, S.; Zheng, Y.; Wang, S., 2016:
Modeling the feedback between aerosol and boundary layer processes: a case study in Beijing, China

Tarle, V.; Ravasio, A.; Hakim, V.; Gov, N.S., 2016:
Modeling the finger instability in an expanding cell monolayer

Subhedar, A.; Steinbach, I.; Varnik, F., 2015:
Modeling the flow in diffuse interface methods of solidification

Ferroni, M.; Giusti, S.; Nascimento, D.; Silva, A.; Boschetti, F.; Ahluwalia, A., 2017:
Modeling the fluid-dynamics and oxygen consumption in a porous scaffold stimulated by cyclic squeeze pressure

Zhu, X.; Zhang, X., 2016:
Modeling the formation of TOCl, TOBr and TOI during chlor(am)ination of drinking water

Escribano, J.; Sánchez, M.T.; García-Aznar, J.M., 2016:
Modeling the formation of cell-matrix adhesions on a single 3D matrix fiber

Inkaew, K.; Saffarzadeh, A.; Shimaoka, T., 2016:
Modeling the formation of the quench product in municipal solid waste incineration (MSWI) bottom ash

Xu, X.; Thai, H.; Kitrinos, K.M.; Xia, G.; Gaggar, A.; Paulson, M.; Ganova-Raeva, L.; Khudyakov, Y.; Lara, J., 2016:
Modeling the functional state of the reverse transcriptase of hepatitis B virus and its application to probing drug-protein interaction

Aguilar, E.; Ghirlanda, S., 2016:
Modeling the genealogy of a cultural trait

Chen, J.; Zou, L.; Jin, Z.; Ruan, S., 2016:
Modeling the geographic spread of rabies in China

Badve, C.; Sloan, A.E., 2016:
Modeling the growth dynamics of glioblastoma using magnetic resonance imaging

Ahmad, A.; Zachariasen, C.; Christiansen, L.Engbo.; Græsbøll, K.; Toft, N.; Matthews, L.; Nielsen, Søren.Saxmose.; Olsen, J.Elmerdahl., 2017:
Modeling the growth dynamics of multiple Escherichia coli strains in the pig intestine following intramuscular ampicillin treatment

Tremarin, Aéia.; Longhi, D.Angelo.; Salomão, B.de.Cassia.Martins.; Aragão, Gáucia.Maria.Falcão., 2015:
Modeling the growth of Byssochlamys fulva and Neosartorya fischeri on solidified apple juice by measuring colony diameter and ergosterol content

Silva, Nália.Buss.da.; Longhi, D.Angelo.; Martins, W.Figueiredo.; Laurindo, Jão.Borges.; Aragão, Gáucia.Maria.Falcão.de.; Carciofi, B.Augusto.Mattar., 2016:
Modeling the growth of Lactobacillus viridescens under non-isothermal conditions in vacuum-packed sliced ham

Jamshidi, A.; Khanzadi, S.; Azizi, M.; Azizzadeh, M.; Hashemi, M., 2015:
Modeling the growth of Staphylococcus aureus as affected by black zira (Bunium persicum) essential oil, temperature, pH and inoculum levels

Koch, L.K.; Cunze, S.; Werblow, A.; Kochmann, J.; Dörge, D.D.; Mehlhorn, H.; Klimpel, S., 2016:
Modeling the habitat suitability for the arbovirus vector Aedes albopictus (Diptera: Culicidae) in Germany

Van Effelterre, T.; Marano, C.; Jacobsen, K.H., 2016:
Modeling the hepatitis A epidemiological transition in Thailand

Wu, W.; Sun, W.; Sun, T., 2016:
Modeling the heterogeneity of p53 dynamics in DNA damage response

Weiss, M.; Sermsappasuk, P.; Siegmund, W., 2016:
Modeling the heterogeneous intestinal absorption of propiverine extended-release

Nenov, A.; Giussani, A.; Segarra-Martí, J.; Jaiswal, V.K.; Rivalta, I.; Cerullo, G.; Mukamel, S.; Garavelli, M., 2015:
Modeling the high-energy electronic state manifold of adenine: Calibration for nonlinear electronic spectroscopy

Jonsson, U.; Lindahl, O.; Andersson, B., 2015:
Modeling the high-frequency complex modulus of silicone rubber using standing Lamb waves and an inverse finite element method

Cunningham, C.E.; Hutchings, T.; Henderson, J.; Rimas, H.; Chen, Y., 2016:
Modeling the hospital safety partnership preferences of patients and their families: a discrete choice conjoint experiment

Kertesz, R.; Green, O.Odom.; Shuster, W.D., 2015:
Modeling the hydrologic and economic efficacy of stormwater utility credit programs for US single family residences

Hosseinichimeh, N.; Rahmandad, H.; Wittenborn, A.K., 2016:
Modeling the hypothalamus-pituitary-adrenal axis: A review and extension

Misra, A.K.; Tiwari, P.K.; Venturino, E., 2016:
Modeling the impact of awareness on the mitigation of algal bloom in a lake

Sen, S.; Gode, A.; Ramanujam, S.; Ravikanth, G.; Aravind, N.A., 2016:
Modeling the impact of climate change on wild Piper nigrum (Black Pepper) in Western Ghats, India using ecological niche models

Steinbrekera, B.; Roghair, R., 2016:
Modeling the impact of growth and leptin deficits on the neuronal regulation of blood pressure

Doan, T.N.; Kong, D.C.M.; Marshall, C.; Kirkpatrick, C.M.J.; McBryde, E.S., 2015:
Modeling the impact of interventions against Acinetobacter baumannii transmission in intensive care units

Rivers, C.M.; Lofgren, E.T.; Marathe, M.; Eubank, S.; Lewis, B.L., 2015:
Modeling the impact of interventions on an epidemic of ebola in sierra leone and liberia

Long, S.A.; Tachiev, G.I.; Fennema, R.; Cook, A.M.; Sukop, M.C.; Miralles-Wilhelm, F., 2015:
Modeling the impact of restoration efforts on phosphorus loading and transport through Everglades National Park, FL, USA

Vynnycky, E.; Yoshida, L.Myint.; Huyen, D.Thi.Thanh.; Trung, N.Dac.; Toda, K.; Cuong, N.Van.; Thi Hong, D.; Ariyoshi, K.; Miyakawa, M.; Moriuchi, H.; Tho, L.Huu.; Nguyen, H.Anh.; Duc Anh, D.; Jit, M.; Hien, N.Tran., 2016:
Modeling the impact of rubella vaccination in Vietnam

Xiaoyi Min; Kent, A.R., 2016:
Modeling the impact of spinal cord stimulation paddle lead position on impedance, stimulation threshold, and activation region

Oxlade, O.; Piatek, A.; Vincent, C.; Menzies, D., 2015:
Modeling the impact of tuberculosis interventions on epidemiologic outcomes and health system costs

McReynolds, S.W.; Sanderson, M.W.; Reeves, A.; Hill, A.E., 2015:
Modeling the impact of vaccination control strategies on a foot and mouth disease outbreak in the Central United States

Zhou, S.; Sheen, S.; Pang, Y-Hsin.; Liu, L.; Yam, K.L., 2015:
Modeling the impact of vapor thymol concentration, temperature, and modified atmosphere condition on growth behavior of Salmonella on raw shrimp

Ferguson, N.M.; Kien, D.Thi.Hue.; Clapham, H.; Aguas, R.; Trung, V.Tuan.; Chau, T.Nguyen.Bich.; Popovici, J.; Ryan, P.A.; O'Neill, S.L.; McGraw, E.A.; Long, V.Thi.; Dui, L.Thi.; Nguyen, H.L.; Chau, N.Van.Vinh.; Wills, B.; Simmons, C.P., 2015:
Modeling the impact on virus transmission of Wolbachia-mediated blocking of dengue virus infection of Aedes aegypti

Zhao, Z.; Sha, Z.; Liu, Y.; Wu, S.; Zhang, H.; Li, C.; Zhao, Q.; Cao, L., 2016:
Modeling the impacts of alternative fertilization methods on nitrogen loading in rice production in Shanghai

Lai, L.; Kumar, S.; Chintala, R.; Owens, V.N.; Clay, D.; Schumacher, J.; Nizami, A-Sattar.; Lee, S.Soo.; Rafique, R., 2016:
Modeling the impacts of temperature and precipitation changes on soil CO2 fluxes from a Switchgrass stand recently converted from cropland

Morrison, K.D.; Kolden, C.A., 2015:
Modeling the impacts of wildfire on runoff and pollutant transport from coastal watersheds to the nearshore environment

Bates, J.H.T., 2015:
Modeling the impairment of airway smooth muscle force by stretch

Netcher, A.C.; Duranceau, S.J., 2016:
Modeling the improvement of ultrafiltration membrane mass transfer when using biofiltration pretreatment in surface water applications

Fidjeland, J.; Nordin, A.; Pecson, B.M.; Nelson, K.L.; Vinnerås, B., 2016:
Modeling the inactivation of ascaris eggs as a function of ammonia concentration and temperature

Strauß, J.F.; Telschow, A., 2015:
Modeling the indirect effect of Wolbachia on the infection dynamics of horizontally transmitted viruses

Wu, Y.; Zhao, X.; Chen, C.; He, J.; Rong, J.; Ma, J., 2016:
Modeling the influence of Chevron alignment sign on young male driver performance: A driving simulator study

Huo, H-Feng.; Zhang, X-Ming., 2016:
Modeling the influence of Twitter in reducing and increasing the spread of influenza epidemics

Bottalico, F.; Pesola, L.; Vizzarri, M.; Antonello, L.; Barbati, A.; Chirici, G.; Corona, P.; Cullotta, S.; Garfì, V.; Giannico, V.; Lafortezza, R.; Lombardi, F.; Marchetti, M.; Nocentini, S.; Riccioli, F.; Travaglini, D.; Sallustio, L., 2016:
Modeling the influence of alternative forest management scenarios on wood production and carbon storage: A case study in the Mediterranean region

Burghardt, L.T.; Metcalf, C.Jessica.E.; Wilczek, A.M.; Schmitt, J.; Donohue, K., 2015:
Modeling the influence of genetic and environmental variation on the expression of plant life cycles across landscapes

Wray, A.T.; Klaine, S.J., 2015:
Modeling the influence of physicochemical properties on gold nanoparticle uptake and elimination by Daphnia magna

Moezzi, B.; Iannella, N.; McDonnell, M.D., 2015:
Modeling the influence of short term depression in vesicle release and stochastic calcium channel gating on auditory nerve spontaneous firing statistics

Schneider, D.; Valiullin, R.; Monson, P.A., 2014:
Modeling the influence of side stream and ink bottle structures on adsorption/desorption dynamics of fluids in long pores

Aggoune, D.; Tosca, L.; Sorel, N.; Bonnet, M-Laure.; Dkhissi, F.; Tachdjian, Gérard.; Bennaceur-Griscelli, A.; Chomel, J-Claude.; Turhan, A.G., 2015:
Modeling the influence of stromal microenvironment in the selection of ENU-induced BCR-ABL1 mutants by tyrosine kinase inhibitors

White, S.R.; Hutchinson, S.J.; Taylor, A.; Bird, S.M., 2015:
Modeling the initiation of others into injection drug use, using data from 2,500 injectors surveyed in Scotland during 2008-2009

Carter, P.M.; Flannagan, C.A.C.; Bingham, C.Raymond.; Cunningham, R.M.; Rupp, J.D., 2015:
Modeling the injury prevention impact of mandatory alcohol ignition interlock installation in all new US vehicles

Sieber, K.B.; Gajer, P.; Dunning Hotopp, J.C., 2016:
Modeling the integration of bacterial rRNA fragments into the human cancer genome

Kanani, S.; Allahverdipour, H.; AsghariJafarabadi, M., 2015:
Modeling the intention to choose natural vaginal delivery: using reasoned action and social cognitive theories

Serratos, I.N.; Castellanos, P.; Pastor, N.; Millán-Pacheco, César.; Rembao, D.; Pérez-Montfort, R.; Cabrera, N.; Reyes-Espinosa, F.; Díaz-Garrido, P.; López-Macay, A.; Martínez-Flores, K.; López-Reyes, A.; Sánchez-García, A.; Cuevas, E.; Santamaria, A., 2016:
Modeling the interaction between quinolinate and the receptor for advanced glycation end products (RAGE): relevance for early neuropathological processes

Hong, E-Mi.; Shelton, D.; Pachepsky, Y.A.; Nam, W-Ho.; Coppock, C.; Muirhead, R., 2016:
Modeling the interannual variability of microbial quality metrics of irrigation water in a Pennsylvania stream

Fredland, N.; McFarlane, J.; Symes, L.; Maddoux, J.; Pennings, J.; Paulson, R.; Binder, B.; Gilroy, H., 2016:
Modeling the intergenerational impact of partner abuse on maternal and child function at 24 months post outreach: Implications for practice and policy

Truscott, J.; Hollingsworth, T.Déirdre.; Anderson, R., 2016:
Modeling the interruption of the transmission of soil-transmitted helminths by repeated mass chemotherapy of school-age children

Laske, T.; Heldt, F.Stefan.; Hoffmann, H.; Frensing, T.; Reichl, U., 2016:
Modeling the intracellular replication of influenza A virus in the presence of defective interfering RNAs

Mushayabasa, S.; Posny, D.; Wang, J., 2017:
Modeling the intrinsic dynamics of foot-and-mouth disease

Huber, S.E.; Probst, M., 2015:
Modeling the intrusion of molecules into graphite: Origin and shape of the barriers

Vega, S.; Saucedo, D.; Rodrigo, D.; Pina, C.; Armero, C.; Martínez, A., 2016:
Modeling the isothermal inactivation curves of Listeria innocua CECT 910 in a vegetable beverage under low-temperature treatments and different pH levels

Li, Q.; Shi, H.; Yang, D.; Wei, X., 2016:
Modeling the key factors that could influence the diffusion of CO 2 from a wellbore blowout in the Ordos Basin, China

Walters, S.H.; Robbins, E.M.; Michael, A.C., 2016:
Modeling the kinetic diversity of dopamine in the dorsal striatum

Bednarko-Młynarczyk, E.; Szteyn, J.; Białobrzewski, I.; Wiszniewska-Łaszczych, A.; Liedtke, K., 2015:
Modeling the kinetics of survival of Staphylococcus aureus in regional yogurt from goat's milk

Diaz-Cabrera, M.; Ferrer, M.A.; Morales, A., 2016:
Modeling the lexical morphology of Western handwritten signatures

Lyu, H.; Lazár, Dšan., 2016:
Modeling the light-induced electric potential difference (ΔΨ), the pH difference (ΔpH) and the proton motive force across the thylakoid membrane in C3 leaves

Eslamibidgoli, M.Javad.; Melchy, P-Éric.Alix.; Eikerling, M.H., 2015:
Modeling the local potential at Pt nanoparticles in polymer electrolyte membranes

Chen, S.; Zhou, Z.; Wei, F-Xue.; Huang, S-Jie.; Tan, Z.; Fang, Y.; Zhu, F-Cai.; Wu, T.; Zhang, J.; Xia, N-Shao., 2016:
Modeling the long-term antibody response of a hepatitis E vaccine

Lambertini, E.; Mishra, A.; Guo, M.; Cao, H.; Buchanan, R.L.; Pradhan, A.K., 2016:
Modeling the long-term kinetics of Salmonella survival on dry pet food

López, E.L.; Contrini, Mía.Marta.; Mistchenko, A.; Kieffer, A.; Baggaley, R.F.; D.T.nna, G.Luca.; Desai, K.; Rasuli, A.; Armoni, J., 2015:
Modeling the long-term persistence of hepatitis A antibody after a two-dose vaccination schedule in Argentinean children

Ruiz, M.A.; Álvarez, E.; Carrasco, J.L.; Olivares, Jé.M.; Pérez, Mía.; Rejas, J., 2016:
Modeling the longitudinal latent effect of pregabalin on self-reported changes in sleep disturbances in outpatients with generalized anxiety disorder managed in routine clinical practice

Fumasoli, A.; Morgenroth, E.; Udert, K.M., 2016:
Modeling the low pH limit of Nitrosomonas eutropha in high-strength nitrogen wastewaters

Atalla, A.; Nagarkar, K.; Ashe, J., 2016:
Modeling the magnetic disturbance of pulsatile blood flow in a static magnetic field

Baldoví, Jé.J.; Gaita-Ariño, A.; Coronado, E., 2015:
Modeling the magnetic properties of lanthanide complexes: relationship of the REC parameters with Pauling electronegativity and coordination number

Zhu, Y.; Chen, X.; Zhang, X.; Chen, S.; Shen, Y.; Song, L., 2017:
Modeling the mechanical properties of liver fibrosis in rats

Garimella, H.T.; Kraft, R.H., 2016:
Modeling the mechanics of axonal fiber tracts using the embedded finite element method

Fang, Y.; Lai, K.W.C., 2016:
Modeling the mechanics of cells in the cell-spreading process driven by traction forces

Carvalho, A.T.P.; Szeler, K.; Vavitsas, K.; Åqvist, J.; Kamerlin, S.C.L., 2015:
Modeling the mechanisms of biological GTP hydrolysis

Li, M.; Zhu, T-Shu., 2016:
Modeling the melting temperature of nanoscaled bimetallic alloys

Létourneau-Montminy, M.P.; Narcy, A.; Dourmad, J.Y.; Crenshaw, T.D.; Pomar, C., 2016:
Modeling the metabolic fate of dietary phosphorus and calcium and the dynamics of body ash content in growing pigs

Tanaka, H., 2016 :
Modeling the motor cortex: Optimality, recurrent neural networks, and spatial dynamics

Mayer, J.A.; Griffiths, I.R.; Goldman, J.E.; Smith, C.M.; Cooksey, E.; Radcliff, A.B.; Duncan, I.D., 2015:
Modeling the natural history of Pelizaeus-Merzbacher disease

Stevens, R.H.; Galloway, T.L., 2015:
Modeling the neurodynamic organizations and interactions of teams

Ji, T.; Chen, J., 2016:
Modeling the next generation sequencing read count data for DNA copy number variant study

Vale, P., 2015:
Modeling the occurrence of shellfish poisoning outbreaks caused by Gymnodinium catenatum (Dinophyceae) through electromagnetic signal triggering

Songlin, W.; Ning, Z.; Si, W.; Qi, Z.; Zhi, Y., 2014:
Modeling the oxidation kinetics of sono-activated persulfate's process on the degradation of humic acid

Chennamsetty, N.; Quan, Y.; Nashine, V.; Sadineni, V.; Lyngberg, O.; Krystek, S., 2015:
Modeling the oxidation of methionine residues by peroxides in proteins

Zhang, T.; Cheng, L.; Ma, L.; Meng, F.; Arnold, R.G.; Sáez, A.Eduardo., 2016:
Modeling the oxidation of phenolic compounds by hydrogen peroxide photolysis

Baty, F.; Ritz, C.; van Gestel, A.; Brutsche, M.; Gerhard, D., 2016:
Modeling the oxygen uptake kinetics during exercise testing of patients with chronic obstructive pulmonary diseases using nonlinear mixed models

Venkatesan, A.K.; Halden, R.U., 2016:
Modeling the pH-mediated extraction of ionizable organic contaminants to improve the quality of municipal sewage sludge destined for land application

Elowsson, A.; Friberg, A., 2015:
Modeling the perception of tempo

Li, J.; Shi, E.; Antwi, P.; Leu, S-Yuan., 2017:
Modeling the performance of an anaerobic baffled reactor with the variation of hydraulic retention time

Janardhan, S.; Ram Vivek, M.; Narahari Sastry, G., 2016:
Modeling the permeability of drug-like molecules through the cell wall of Mycobacterium tuberculosis: an analogue based approach

Pan, W.J.; Li, H.; Xiao, J.J.; Horner, M.J.; Lebrec, H.N.; Butz, E.A.; Kaliyaperumal, A.; Cheah, T.C.; Ortiz, R.C.; Prokop, S.P.; Buntich, S.A.; Boren, B.M.; Wolford, S.T.; Tsuji, W.H.; Wienkers, L.C.; Köck, K., 2016:
Modeling the pharmacokinetic-pharmacodynamic relationship of the monoclonal anti-macaque-IL-15 antibody Hu714MuXHu in cynomolgus monkeys

Kumar, H.; Spence, C.J.T.; Tawhai, M.H., 2016:
Modeling the pharyngeal pressure during adult nasal high flow therapy

Colina-Márquez, Jé.; Machuca-Martínez, F.; Li Puma, G., 2016:
Modeling the photocatalytic mineralization in water of commercial formulation of estrogens 17-β estradiol (E2) and nomegestrol acetate in contraceptive pills in a solar powered compound parabolic collector

Vione, D.; D.L.urentiis, E.; Berto, S.; Minero, C.; Hatipoglu, A.; Cinar, Z., 2016:
Modeling the photochemical transformation of nitrobenzene under conditions relevant to sunlit surface waters: Reaction pathways and formation of intermediates

Azarias, Cé.; Adamo, C.; Perrier, Aélie., 2016:
Modeling the photosensitizing properties of thiolate-protected gold nanoclusters

Denzi, A.; Strigari, L.; D.F.lippo, F.; Botti, C.; D.F.lippo, S.; Perracchio, L.; Ronchetti, M.; Cadossi, R.; Liberti, M., 2016 :
Modeling the positioning of single needle electrodes for the treatment of breast cancer in a clinical case

Vugrin, E.D.; Rostron, B.L.; Verzi, S.J.; Brodsky, N.S.; Brown, T.J.; Choiniere, C.J.; Coleman, B.N.; Paredes, A.; Apelberg, B.J., 2016:
Modeling the potential effects of new tobacco products and policies: a dynamic population model for multiple product use and harm

Weng, S-Shun.; Yang, M-Hsien.; Koo, T-Lih.; Hsiao, P-I., 2016:
Modeling the prediction of business intelligence system effectiveness

Shin, D-Phil.; Gwak, H-Seong.; Lee, D-Eun., 2016:
Modeling the predictors of safety behavior in construction workers

Jahangiri, P.; Doering, R.; Ferguson, S.; Li, K.; Buckley, K.; Bénard, Fçois.; Martinez, D.Mark.; Hoehr, C., 2016:
Modeling the pressure rise of a liquid target on a medical cyclotron: Steady-state analysis

Duintjer Tebbens, R.J.; Pallansch, M.A.; Thompson, K.M., 2016:
Modeling the prevalence of immunodeficiency-associated long-term vaccine-derived poliovirus excretors and the potential benefits of antiviral drugs

Wang, J.; Wang, Y.; Bi, C.; Weng, J.; Yan, X., 2016:
Modeling the probability of freeway lane-changing collision occurrence considering intervehicle interaction

Ervens, B., 2015:
Modeling the processing of aerosol and trace gases in clouds and fogs

Liu, Y.; Wang, J.; Wolcott, M., 2016:
Modeling the production of sugar and byproducts from acid bisulfite pretreatment and enzymatic hydrolysis of Douglas-fir

Watté, R.; Aernouts, B.; Van Beers, R.; Herremans, E.; Ho, Q.Tri.; Verboven, P.; Nicolaï, B.; Saeys, W., 2015 :
Modeling the propagation of light in realistic tissue structures with MMC-fpf: a meshed Monte Carlo method with free phase function

Babapour, R.; Naghdi, R.; Ghajar, I.; Ghodsi, R., 2016:
Modeling the proportion of cut slopes rock on forest roads using artificial neural network and ordinal linear regression

Sabbah, D.A.; Zhong, H.A., 2018:
Modeling the protonation states of β-secretase binding pocket by molecular dynamics simulations and docking studies

Panasyuk, G.Y.; Yerkes, K.L., 2016:
Modeling the quasistatic energy transport between nanoparticles

Li, R.; Palm, B.B.; Ortega, A.M.; Hlywiak, J.; Hu, W.; Peng, Z.; Day, D.A.; Knote, C.; Brune, W.H.; de Gouw, J.A.; Jimenez, J.L., 2016:
Modeling the radical chemistry in an oxidation flow reactor: radical formation and recycling, sensitivities, and the OH exposure estimation equation

Gupta, S.; Basant, N.; Mohan, D.; Singh, K.P., 2016:
Modeling the reactivities of hydroxyl radical and ozone towards atmospheric organic chemicals using quantitative structure-reactivity relationship approaches

Curado, L.F.A.; Musis, C.R.DE.; Cunha, C.R.DA.; Rodrigues, T.R.; Pereira, V.M.R.; Nogueira, Jé.S.; Sanches, L., 2016:
Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks

Didericksen, K.Wickel.; Berge, J.M., 2016:
Modeling the relationship between family home environment factors and parental health

Li, H.; Liu, L.; Ji, X., 2015:
Modeling the relationship between landscape characteristics and water quality in a typical highly intensive agricultural small watershed, Dongting lake basin, south central China

Georgiou, G.K.; Aro, M.; Liao, C-Huei.; Parrila, R., 2015:
Modeling the relationship between rapid automatized naming and literacy skills across languages varying in orthographic consistency

Vink, P.; Bazley, C.; Jacobs, K., 2016:
Modeling the relationship between the environment and human experiences

Liu, L.; Jin, G.; Zhou, X., 2015:
Modeling the relationship of epigenetic modifications to transcription factor binding

Skeltved, A.Broberg.; Østgaard, N.; Carlson, B.; Gjesteland, T.; Celestin, S., 2015:
Modeling the relativistic runaway electron avalanche and the feedback mechanism with GEANT4

Jain, A.; Sheats, J.; Reifenberger, J.G.; Cao, H.; Dorfman, K.D., 2016:
Modeling the relaxation of internal DNA segments during genome mapping in nanochannels

Smyczynski, M.S.; Gifford, H.C.; Lehovich, A.; McNamara, J.E.; Segars, W.Paul.; Hoffman, E.A.; Tsui, B.M.W.; King, M.A., 2016:
Modeling the respiratory motion of solitary pulmonary nodules and determining the impact of respiratory motion on their detection in SPECT imaging

Werginz, P.; Benav, H.; Zrenner, E.; Rattay, F., 2016:
Modeling the response of ON and OFF retinal bipolar cells during electric stimulation

Qiao, X.; Zhang, X.; Tian, Y.; Meng, Y., 2015:
Modeling the response of a quartz crystal microbalance under nanoscale confinement and slip boundary conditions

Philippe, A.G.; Py, G.; Favier, Fçois.B.; Sanchez, A.M.J.; Bonnieu, A.; Busso, T.; Candau, R., 2015:
Modeling the responses to resistance training in an animal experiment study

Tong, S.; Shen, M.; Zhang, H.; Cheng, D.; Yan, J., 2016:
Modeling the retention mechanism for high-performance liquid chromatography with a chiral ligand mobile phase and enantioseparation of mandelic acid derivatives

Cella, L.; D'Avino, V.; Palma, G.; Conson, M.; Liuzzi, R.; Picardi, M.; Pressello, M.Cristina.; Boboc, G.Ionela.; Battistini, R.; Donato, V.; Pacelli, R., 2016:
Modeling the risk of radiation-induced lung fibrosis: Irradiated heart tissue is as important as irradiated lung

Patterson-Lomba, O.; Safan, M.; Towers, S.; Taylor, J., 2016:
Modeling the role of healthcare access inequalities in epidemic outcomes

Kumar, A.; Srivastava, P.K.; Takeuchi, Y., 2016:
Modeling the role of information and limited optimal treatment on disease prevalence

Schlosser, D.A.; Campellone, T.R.; Biagianti, B.; Delucchi, K.L.; Gard, D.E.; Fulford, D.; Stuart, B.K.; Fisher, M.; Loewy, R.L.; Vinogradov, S., 2016:
Modeling the role of negative symptoms in determining social functioning in individuals at clinical high risk of psychosis

Tancredi, F.B.; Girouard, H.; Hoge, R.D., 2016:
Modeling the role of osmotic forces in the cerebrovascular response to CO2

Holmes, W.R.; Liao, L.; Bement, W.; Edelstein-Keshet, L., 2016:
Modeling the roles of protein kinase Cβ and η in single-cell wound repair

Chen, C.; Xie, Y., 2015:
Modeling the safety impacts of driving hours and rest breaks on truck drivers considering time-dependent covariates

Jin, C.; Liu, C.; Yin, Y.; Bi, L.; Nousiainen, T., 2016:
Modeling the scattering phase matrix of red clays

Yan, X.; Kruger, J.A.; Li, X.; Nielsen, P.M.F.; Nash, M.P., 2016:
Modeling the second stage of labor

Chien, S-Chia.; Auerbach, S.M.; Monson, P.A., 2016:
Modeling the self-assembly of silica-templated nanoparticles in the initial stages of zeolite formation

Curtice, C.; Johnston, D.W.; Ducklow, H.; Gales, N.; Halpin, P.N.; Friedlaender, A.S., 2015:
Modeling the spatial and temporal dynamics of foraging movements of humpback whales (Megaptera novaeangliae) in the Western Antarctic Peninsula

Flament, Héloïse.; Alonso Ramirez, R.; Prémel, V.; Joncker, N.T.; Jacquet, A.; Scholl, S.; Lantz, O., 2015:
Modeling the specific CD4+ T cell response against a tumor neoantigen

Pearson, J.C.; Yu, S.; Pirali, O., 2016:
Modeling the spectrum of the 2ν 2 and ν 4 states of ammonia to experimental accuracy

Kuang, D.; Charrière, Rée.; Matsapey, N.; Flury, M.; Faucheu, J.; Chavel, P., 2015:
Modeling the specular spectral reflectance of partially ordered alumina nanopores on an aluminum substrate

McGee, M.J.; Grill, W.M., 2016:
Modeling the spinal pudendo-vesical reflex for bladder control by pudendal afferent stimulation

Abdelrazec, A.; Bélair, J.; Shan, C.; Zhu, H., 2015:
Modeling the spread and control of dengue with limited public health resources

Gharouni, A.; Wang, L., 2016:
Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation

Yaari, R.; Kaliner, E.; Grotto, I.; Katriel, G.; Moran-Gilad, J.; Sofer, D.; Mendelson, E.; Miller, E.; Huppert, A.; Anis, E.; Kopel, E.; Manor, Y.; Mor, O.; Shulman, L.; Singer, R.; Weil, M., 2017:
Modeling the spread of polio in an IPV-vaccinated population: lessons learned from the 2013 silent outbreak in southern Israel

Koh, I.; Lonsdorf, E.V.; Williams, N.M.; Brittain, C.; Isaacs, R.; Gibbs, J.; Ricketts, T.H., 2016:
Modeling the status, trends, and impacts of wild bee abundance in the United States

Zare, Y., 2015:
Modeling the strength and thickness of the interphase in polymer nanocomposite reinforced with spherical nanoparticles by a coupling methodology

Li, X.; Schroeder, C.M.; Dorfman, K.D., 2015:
Modeling the stretching of wormlike chains in the presence of excluded volume

Caulkins, J.P.; Disley, E.; Tzvetkova, M.; Pardal, M.; Shah, H.; Zhang, X., 2018:
Modeling the structure and operation of drug supply chains: The case of cocaine and heroin in Italy and Slovenia

Bernardes, C.E.S.; Mochida, T.; Canongia Lopes, Jé.N., 2015:
Modeling the structure and thermodynamics of ferrocenium-based ionic liquids

Specks, J.; Nieto-Soler, M.; Lopez-Contreras, A.J.; Fernandez-Capetillo, O., 2015:
Modeling the study of DNA damage responses in mice

Mantel, C.; Bech, Søren.; Korhonen, J.; Forchhammer, Søren.; Pedersen, J.Melgaard., 2014:
Modeling the subjective quality of highly contrasted videos displayed on LCD with local backlight dimming

Caglar, B.; Niemantsverdriet, J.W.Hans.; Weststrate, C.J.Kees-Jan., 2016:
Modeling the surface chemistry of biomass model compounds on oxygen-covered Rh(100)

Vazhappilly, T.; Kilin, D.S.; Micha, D.A., 2015:
Modeling the surface photovoltage of silicon slabs with varying thickness

Santillana Farakos, S.M.; Pouillot, Régis.; Anderson, N.; Johnson, R.; Son, I.; Van Doren, J., 2016:
Modeling the survival kinetics of Salmonella in tree nuts for use in risk assessment

Laallam, H.; Boughediri, L.; Bissati, S.; Menasria, T.; Mouzaoui, M.S.; Hadjadj, S.; Hammoudi, R.; Chenchouni, H., 2015:
Modeling the synergistic antibacterial effects of honey characteristics of different botanical origins from the Sahara Desert of Algeria

Sage, Jérémie.; E.O.eibi, E.; Saad, M.; Gromaire, M-Christine., 2016:
Modeling the temporal variability of zinc concentrations in zinc roof runoff-experimental study and uncertainty analysis

López-Haro, S.A.; Gutiérrez, M.I.; Vera, A.; Leija, L., 2016:
Modeling the thermo-acoustic effects of thermal-dependent speed of sound and acoustic absorption of biological tissues during focused ultrasound hyperthermia

Li, M.; Deng, X.; Wang, J.; Chen, Q.; Tang, Y., 2016:
Modeling the thermotaxis behavior of C.elegans based on the artificial neural network

Moraes, L.E.; Fadel, J.G.; Castillo, A.R.; Casper, D.P.; Tricarico, J.M.; Kebreab, E., 2016:
Modeling the trade-off between diet costs and methane emissions: A goal programming approach

Lin, C-Ju.; Deger, K.A.; Tien, J.H., 2016:
Modeling the trade-off between transmissibility and contact in infectious disease dynamics

Dee, S.; Neill, C.; Singrey, A.; Clement, T.; Cochrane, R.; Jones, C.; Patterson, G.; Spronk, G.; Christopher-Hennings, J.; Nelson, E., 2016:
Modeling the transboundary risk of feed ingredients contaminated with porcine epidemic diarrhea virus

Johnson, R.M.; Kerr, M.S., 2016:
Modeling the transcriptome of genital tract epithelial cells and macrophages in healthy mucosa versus mucosa inflamed by Chlamydia muridarum infection

Ding, C.; Zhou, F.; Li, X.; Zhang, T.; Wang, X., 2016:
Modeling the transfer of arsenic from soil to carrot (Daucus carota L.)--a greenhouse and field-based study

Bayle, E.A., 2016:
Modeling the transition state structure to probe a reaction mechanism on the oxidation of quinoline by quinoline 2-oxidoreductase

Stanga, D.; D.F.lice, P.; Keightley, J.; Capogni, M.; Ionescu, E., 2015:
Modeling the transmission of beta rays through thin foils in planar geometry

Nham, H.Thuy.Thi.; Greskowiak, J.; Nödler, K.; Rahman, M.Azizur.; Spachos, T.; Rusteberg, B.; Massmann, G.; Sauter, M.; Licha, T., 2015:
Modeling the transport behavior of 16 emerging organic contaminants during soil aquifer treatment

Tcaciuc, A.Patricia.; Apell, J.N.; Gschwend, P.M., 2016:
Modeling the transport of organic chemicals between polyethylene passive samplers and water in finite and infinite bath conditions

Kievit, F.M.; Wang, K.; Erickson, A.E.; Lan Levengood, S.K.; Ellenbogen, R.G.; Zhang, M., 2015:
Modeling the tumor microenvironment using chitosan-alginate scaffolds to control the stem-like state of glioblastoma cells

Xu, S.; Schlüter, P.M., 2015:
Modeling the two-locus architecture of divergent pollinator adaptation: how variation in SAD paralogs affects fitness and evolutionary divergence in sexually deceptive orchids

Usabiaga, I.; González, J.; Arnáiz, P.F.; León, I.; Cocinero, E.J.; Fernández, Jé.A., 2016:
Modeling the tyrosine-sugar interactions in supersonic expansions: glucopyranose-phenol clusters

Sitzenfrei, R.; Rauch, W.; Rogers, B.; Dawson, R.; Kleidorfer, M., 2015:
Modeling the urban water cycle as part of the city

Brosch, T.; Yoo, Y.; Li, D.K.B.; Traboulsee, A.; Tam, R., 2015:
Modeling the variability in brain morphology and lesion distribution in multiple sclerosis by deep learning

Golpayegani, G.Nazari.; Jafari, A.Homayoun.; Dabanloo, N.Jafarnia., 2016:
Modeling the virus-immune system interactions in the peripheral bloodstream of HIV infected individuals using a cellular automata model with considering the effects of antiretroviral therapy

Garellek, M.; Samlan, R.; Gerratt, B.R.; Kreiman, J., 2016:
Modeling the voice source in terms of spectral slopes

Zhang, T.; Marinescu, M.; O'Neill, L.; Wild, M.; Offer, G., 2015:
Modeling the voltage loss mechanisms in lithium-sulfur cells: the importance of electrolyte resistance and precipitation kinetics

Yu, G.; Yang, Y.; Tu, Z.; Jie, Y.; Yu, Q.; Hu, X.; Yu, H.; Zhou, R.; Chen, X.; Wang, H., 2016:
Modeling the water-satisfied degree for production of the main food crops in China

Pavlov, N.G.; Kondratyev, N.M.; Gorodetsky, M.L., 2016:
Modeling the whispering gallery microresonator-based optical modulator

Zare, Y., 2016:
Modeling the yield strength of polymer nanocomposites based upon nanoparticle agglomeration and polymer-filler interphase

González, M.G.; Sorichetti, P.A.; Santiago, G.D., 2014:
Modeling thin-film piezoelectric polymer ultrasonic sensors

Abdullatypov, A.V.; Tsygankov, A.A., 2016:
Modeling three-dimensional structure of two closely related Ni-Fe hydrogenases

Zhao, L.; Yang, L.; Lin, H.; Zhang, M.; Yu, H.; Liao, B-Qiang.; Wang, F.; Zhou, X.; Li, R., 2016:
Modeling three-dimensional surface morphology of biocake layer in a membrane bioreactor based on fractal geometry

Bazrafkan, S.; Kazemi, K., 2014:
Modeling time resolved light propagation inside a realistic human head model

Banbeta, A.; Seyoum, D.; Belachew, T.; Birlie, B.; Getachew, Y., 2015:
Modeling time-to-cure from severe acute malnutrition: application of various parametric frailty models

Thompson, T.M.; Shepherd, D.; Stacy, A.; Barna, M.G.; Schichtel, B.A., 2016:
Modeling to Evaluate Contribution of Oil and Gas Emissions to Air Pollution

Tan, J.; Chen, M.; Li, Y.; Liu, X.; Yu, C.; Sun, X., 2014:
Modeling to Predict Severe Maternal Morbidity Based on 33993 Deliveries of Registered Study in China

Louis, Vérie.R.; Phalkey, R.; Horstick, O.; Ratanawong, P.; Wilder-Smith, A.; Tozan, Y.; Dambach, P., 2015:
Modeling tools for dengue risk mapping - a systematic review

Li, W.; Zhang, Y.; Cui, L.; Zhang, M.; Wang, Y., 2016:
Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks

Camp, M.J.; Shipley, L.A.; Johnson, T.R.; Forbey, J.Sorensen.; Rachlow, J.L.; Crowell, M.M., 2016:
Modeling trade-offs between plant fiber and toxins: a framework for quantifying risks perceived by foraging herbivores

Bernabei, J.M.; Lee, W.Hee.; Peterchev, A.V., 2016:
Modeling transcranial electric stimulation in mouse: a high resolution finite element study

Geeter, N.De.; Dupré, L.; Crevecoeur, G., 2016:
Modeling transcranial magnetic stimulation from the induced electric fields to the membrane potentials along tractography-based white matter fiber tracts

Zilelidou, E.A.; Tsourou, V.; Poimenidou, S.; Loukou, A.; Skandamis, P.N., 2015:
Modeling transfer of Escherichia coli O157:H7 and Listeria monocytogenes during preparation of fresh-cut salads: impact of cutting and shredding practices

Minhas, G.; Morishita, R.; Shimamura, M.; Bansal, R.; Anand, A., 2015:
Modeling transient retinal ischemia in mouse by ligation of pterygopalatine artery

Zhang, L.; Polyansky, A.; Buck, M., 2016:
Modeling transmembrane domain dimers/trimers of plexin receptors: implications for mechanisms of signal transmission across the membrane

Nemaura, T., 2015:
Modeling transportation of efavirenz: inference on possibility of mixed modes of transportation and kinetic solubility

Qiang, B.; Brigham, J.C.; Aristizabal, S.; Greenleaf, J.F.; Zhang, X.; Urban, M.W., 2016:
Modeling transversely isotropic, viscoelastic, incompressible tissue-like materials with application in ultrasound shear wave elastography

Duggar, W.Neil.; Nguyen, A.; Stanford, J.; Morris, B.; Yang, C.C., 2015:
Modeling treatment couches in the Pinnacle treatment planning system: Especially important for arc therapy

Xue, J.; Zartarian, V.; Mintz, B.; Weber, M.; Bailey, K.; Geller, A., 2016:
Modeling tribal exposures to methyl mercury from fish consumption

Hattne, J.; Shi, D.; de la Cruz, M.Jason.; Reyes, F.E.; Gonen, T., 2016:
Modeling truncated pixel values of faint reflections in MicroED images

Román-Román, P.; Román-Román, S.; Serrano-Pérez, J.José.; Torres-Ruiz, F., 2017:
Modeling tumor growth in the presence of a therapy with an effect on rate growth and variability by means of a modified Gompertz diffusion process

Liu, Z.; Vunjak-Novakovic, G., 2016:
Modeling tumor microenvironments using custom-designed biomaterial scaffolds

Romanescu, R.; Deardon, R., 2015:
Modeling two strains of disease via aggregate-level infectivity curves

Tripathi, S.; Tabor, R.F., 2016:
Modeling two-rate adsorption kinetics: Two-site, two-species, bilayer and rearrangement adsorption processes

Zhu, G.; Yin, F.; Wang, L.; Wei, W.; Jiang, L.; Qin, J., 2016:
Modeling type 2 diabetes-like hyperglycemia in C. elegans on a microdevice

Fazzi, D.; Barbatti, M.; Thiel, W., 2015:
Modeling ultrafast exciton deactivation in oligothiophenes via nonadiabatic dynamics

Kalkowska, D.A.; Duintjer Tebbens, R.J.; Pallansch, M.A.; Cochi, S.L.; Wassilak, S.G.F.; Thompson, K.M., 2015:
Modeling undetected live poliovirus circulation after apparent interruption of transmission: implications for surveillance and vaccination

Fan, H.; Li, S., 2016:
Modeling universal dynamics of cell spreading on elastic substrates

Thompson, J.M.; Hsieh, C-Hong.; Luthy, R.G., 2015 :
Modeling uptake of hydrophobic organic contaminants into polyethylene passive samplers

Basant, N.; Gupta, S., 2016:
Modeling uptake of nanoparticles in multiple human cells using structure-activity relationships and intercellular uptake correlations

Tashayo, B.; Alimohammadi, A., 2016:
Modeling urban air pollution with optimized hierarchical fuzzy inference system

Garcia-Larsen, V.; Thawer, N.; Charles, D.; Cassidy, A.; van Zele, T.; Thilsing, T.; Ahlström, M.; Haahtela, T.; Keil, T.; Matricardi, P.M.; Brożek, G.; Kowalski, M.L.; Makowska, J.; Niżankowska-Mogilnicka, E.; Rymarczyk, B.; Loureiro, C.; Todo Bom, A.; Bachert, C.; Forsberg, B.; Janson, C.; Torén, K.; Potts, J.F.; Burney, P.Gj., 2018:
Dietary Intake of Flavonoids and Ventilatory Function in European Adults: A GA²LEN Study

Chettiar, U.K.; Engheta, N., 2015:
Modeling vanadium dioxide phase transition due to continuous-wave optical signals

Rawat, V.K.; Vidal-de-Miguel, G.; Hogan, C.J., 2016:
Modeling vapor uptake induced mobility shifts in peptide ions observed with transversal modulation ion mobility spectrometry-mass spectrometry

Ahsan, M.H.; Blomquist, G.E., 2016:
Modeling variation in early life mortality in the western lowland gorilla: Genetic, maternal and other effects

Techie Quaicoe, M.; Twenefour, F.B.K.; Baah, E.M.; Nortey, E.N.N., 2015:
Modeling variations in the cedi/dollar exchange rate in Ghana: an autoregressive conditional heteroscedastic (ARCH) models

Hall, R.J.; Brown, L.M.; Altizer, S., 2017:
Modeling vector-borne disease risk in migratory animals under climate change

Zehetleitner, M.; Ratko-Dehnert, E.; Müller, H.J., 2015:
Modeling violations of the race model inequality in bimodal paradigms: co-activation from decision and non-decision components

López-Guerra, E.A.; Solares, S.D., 2015:
Modeling viscoelasticity through spring-dashpot models in intermittent-contact atomic force microscopy

Lin, Y-Shin.; Heinke, D.; Humphreys, G.W., 2015:
Modeling visual search using three-parameter probability functions in a hierarchical Bayesian framework

Mallya, S.M.; Corrado, K.R.; Saria, E.A.; Yuan, F-Ning.Frank.; Tran, H.Q.; Saucier, K.; Atti, E.; Tetradis, S.; Arnold, A., 2016:
Modeling vitamin D insufficiency and moderate deficiency in adult mice via dietary cholecalciferol restriction

Fukushima, M.; Saunders, R.C.; Fujii, N.; Averbeck, B.B.; Mishkin, M., 2015:
Modeling vocalization with ECoG cortical activity recorded during vocal production in the macaque monkey

Kuzmanovski, V.; Trajanov, A.; Leprince, F.; Džeroski, Sšo.; Debeljak, M., 2014:
Modeling water outflow from tile-drained agricultural fields

Chang, F-John.; Tsai, Y-Hsuan.; Chen, P-An.; Coynel, A.; Vachaud, G., 2015:
Modeling water quality in an urban river using hydrological factors--data driven approaches

Aouissi, J.; Benabdallah, S.; Chabaâne, Z.Lili.; Cudennec, C., 2015:
Modeling water quality to improve agricultural practices and land management in a tunisian catchment using the soil and water assessment tool

Cunniffe, N.J.; Cobb, R.C.; Meentemeyer, R.K.; Rizzo, D.M.; Gilligan, C.A., 2016:
Modeling when, where, and how to manage a forest epidemic, motivated by sudden oak death in California

Duval, T.; Stikov, N.; Cohen-Adad, J., 2016:
Modeling white matter microstructure

Fitts Cochrane, J.; Lonsdorf, E.; Allison, T.D.; Sanders-Reed, C.A., 2015:
Modeling with uncertain science: estimating mitigation credits from abating lead poisoning in Golden Eagles

Turner, A.M.; Brownstein, M.K.; Cole, K.; Karasz, H.; Kirchhoff, K., 2015:
Modeling workflow to design machine translation applications for public health practice

Potter, G.E.; Smieszek, T.; Sailer, K., 2015:
Modeling workplace contact networks: The effects of organizational structure, architecture, and reporting errors on epidemic predictions

Fu, L.; Xu, X.; Ren, R.; Wu, J.; Zhang, W.; Yang, J.; Ren, X.; Wang, S.; Zhao, Y.; Sun, L.; Yu, Y.; Wang, Z.; Yang, Z.; Yuan, Y.; Qiao, J.; Izpisua Belmonte, J.Carlos.; Qu, J.; Liu, G-Hui., 2016:
Modeling xeroderma pigmentosum associated neurological pathologies with patients-derived iPSCs

Neelon, B.; O'Malley, A.James.; Smith, V.A., 2016:
Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview

Neelon, B.; O'Malley, A.James.; Smith, V.A., 2016:
Modeling zero-modified count and semicontinuous data in health services research part 2: case studies

Wood, G.P.F.; Rauk, A.; Radom, L., 2005:
Modeling β-Scission Reactions of Peptide Backbone Alkoxy Radicals:  Backbone C-C Bond Fission

Feigin, M.; Whyte, R.; Bhandari, A.; Dorington, A.; Raskar, R., 2015:
Modeling "wiggling" as a multi-path interference problem in AMCW ToF imaging

He, H.; Sharkh, S.M.; Zhang, C.; Zhou, X.; Xiong, R., 2015 :
Modeling, Control, and Optimization Technologies in Electric Drive Vehicles

Zheng, Z.; Peng, K.; Du, W.; Zhang, G., 2015:
Modeling, Control, and Optimization in Aeronautical Engineering

Sweeney, M.W.; Kabouris, J.C., 2016:
Modeling, Instrumentation, Automation, and Optimization of Water Resource Recovery Facilities

Sweeney, M.W.; Kabouris, J.C., 2016:
Modeling, Instrumentation, Automation, and Optimization of Water Resource Recovery Facilities

Zeng, M.; Robinson, A.E.; Nguyen, T.Q., 2015:
Modeling, Prediction, and Reduction of 3D Crosstalk in Circular Polarized Stereoscopic LCDs

Bigeleisen, P.E.; Hess, A.; Zhu, R.; Krediet, A., 2016:
Modeling, Production, and Testing of an Echogenic Needle for Ultrasound-Guided Nerve Blocks

Xiang, C.; Weber, A.Z.; Ardo, S.; Berger, A.; Chen, Y.; Coridan, R.; Fountaine, K.T.; Haussener, S.; Hu, S.; Liu, R.; Lewis, N.S.; Modestino, M.A.; Shaner, M.M.; Singh, M.R.; Stevens, J.C.; Sun, K.; Walczak, K., 2016:
Modeling, Simulation, and Implementation of Solar-Driven Water-Splitting Devices

Heck, M.C.; Wagner, C.E.; Shahani, P.H.; MacNeill, M.; Grozic, A.; Darwaiz, T.; Shimabuku, M.; Deans, D.G.; Robinson, N.M.; Salama, S.H.; Ziller, J.W.; Ma, N.; van der Vaart, A.; Marshall, P.A.; Jurutka, P.W., 2016:
Modeling, Synthesis, and Biological Evaluation of Potential Retinoid X Receptor (RXR)-Selective Agonists: Analogues of 4-[1-(3,5,5,8,8-Pentamethyl-5,6,7,8-tetrahydro-2-naphthyl)ethynyl]benzoic Acid (Bexarotene) and 6-(Ethyl(5,5,8,8-tetrahydronaphthalen-2-yl)amino)nicotinic Acid (NEt-TMN)

Rezvani, A.; Khalili, A.; Mazareie, A.; Gandomkar, M., 2016:
Modeling, control, and simulation of grid connected intelligent hybrid battery/photovoltaic system using new hybrid fuzzy-neural method

Vinhal, J.O.; Lage, M.R.; Carneiro, Jé.Walkimar.M.; Lima, C.F.; Cassella, R.J., 2016:
Modeling, kinetic, and equilibrium characterization of paraquat adsorption onto polyurethane foam using the ion-pairing technique

Pradeepkiran, J.Adi.; Kumar, K.Kranthi.; Kumar, Y.Nanda.; Bhaskar, M., 2016:
Modeling, molecular dynamics, and docking assessment of transcription factor rho: a potential drug target in Brucella melitensis 16M

Sun, M.; Zaman, M.H., 2016:
Modeling, signaling and cytoskeleton dynamics: integrated modeling-experimental frameworks in cell migration

Walczak, K.; Chen, Y.; Karp, C.; Beeman, J.W.; Shaner, M.; Spurgeon, J.; Sharp, I.D.; Amashukeli, X.; West, W.; Jin, J.; Lewis, N.S.; Xiang, C., 2015:
Modeling, simulation, and fabrication of a fully integrated, acid-stable, scalable solar-driven water-splitting system

Lu, P.; Hontecillas, R.; Abedi, V.; Kale, S.; Leber, A.; Heltzel, C.; Langowski, M.; Godfrey, V.; Philipson, C.; Tubau-Juni, N.; Carbo, A.; Girardin, S.; Uren, A.; Bassaganya-Riera, J., 2016:
Modeling-Enabled Characterization of Novel NLRX1 Ligands

Verma, M.; Hontecillas, R.; Abedi, V.; Leber, A.; Tubau-Juni, N.; Philipson, C.; Carbo, A.; Bassaganya-Riera, J., 2016:
Modeling-Enabled Systems Nutritional Immunology

Unterkofler, K.; King, J.; Mochalski, P.; Jandacka, M.; Koc, H.; Teschl, S.; Amann, A.; Teschl, G., 2015:
Modeling-based determination of physiological parameters of systemic VOCs by breath gas analysis: a pilot study

Chassagne, F.; Badel, P.; Convert, R.; Giraux, P.; Molimard, Jérôme., 2016:
Modelisation of the action of compression bandages on the lower limb

Komac, B.; Esteban, P.; Trapero, L.; Caritg, R., 2016:
Modelization of the Current and Future Habitat Suitability of Rhododendron ferrugineum Using Potential Snow Accumulation

Pswarayi, C.; Kara, R.; Hollmann, S.; Ferko, N.; Dawson, D.; Delatore, P., 2015:
Modelled U.K. And U.S. Analyses Demonstrate Sherlock 3cg® Tip Confirmation System For Peripherally Inserted Central Catheter Placement Is Associated With Favourable Health Economic Outcomes

Weimer, R.N.; Sundell-Bergman, Söve.; Sonesten, L.; Wikenros, C.; Rosén, K., 2016:
Modelling (137)Cs concentrations in moose (1986-2012) from areas highly contaminated by the Chernobyl fallout

Smit, B.; Styring, P.; Wilson, G.; Rochelle, G.; Donat, F.; Yao, J.; Trusler, M.; Adjiman, C.; Lyth, S.; Lee, J-Sing.M.; Hills, T.; Brandl, P.; Gazzani, M.; Cuellar-Franca, R.; Fennell, P.; Sutter, D.; Bui, M.; Scholes, C.; Dowson, G.; Gibbins, J.; Joss, L.; Maitland, G.; Brandani, S.; Garcia-Gutierrez, P.; Zhang, Y.; Müller, C.; Jackson, G.; Ocone, R.; Joos, L.; Bell, R.; Graham, R., 2016:
Modelling - from molecules to mega-scale: general discussion

Ziegler, S.; Pedersen, M.L.; Mowinckel, A.M.; Biele, G., 2016:
Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning

Kang, Y.; Sawyer, A.M.; Griffin, P.M.; Prabhu, V.V., 2015:
Modelling Adherence Behaviour for the Treatment of Obstructive Sleep Apnoea

Vergne, Tée.; Korennoy, F.; Combelles, L.; Gogin, A.; Pfeiffer, D.U., 2017:
Modelling African swine fever presence and reported abundance in the Russian Federation using national surveillance data from 2007 to 2014

Baronas, R.; Kulys, J., 2008:
Modelling Amperometric Biosensors Based on Chemically Modified Electrodes

Christiansen-Jucht, Céline.; Erguler, K.; Shek, C.Yan.; Basáñez, Mía-Gloria.; Parham, P.E., 2016:
Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival

Caldwell, M.; Moroz, T.; Hapuarachchi, T.; Bainbridge, A.; Robertson, N.J.; Cooper, C.E.; Tachtsidis, I., 2016:
Modelling Blood Flow and Metabolism in the Preclinical Neonatal Brain during and Following Hypoxic-Ischaemia

Bennion Callister, J.; Ryan, S.; Sim, J.; Rollinson, S.; Pickering-Brown, S.M., 2016:
Modelling C9orf72 dipeptide repeat proteins of a physiologically relevant size

Santana, V.M.; Alday, J.G.; Lee, H.; Allen, K.A.; Marrs, R.H., 2016:
Modelling Carbon Emissions in Calluna vulgaris-Dominated Ecosystems when Prescribed Burning and Wildfires Interact

Granfeldt, A., 2016:
Modelling Cardiac Arrest-Are We There?

Segler, M.H.S.; Waller, M.P., 2016:
Modelling Chemical Reasoning to Predict and Invent Reactions

Vasiev, B., 2016:
Modelling Chemotactic Motion of Cells in Biological Tissues

Lee, D.; Porter, J.; Hertel, N.; Hatswell, A.J.; Briggs, A., 2016:
Modelling Comparative Efficacy of Drugs with Different Survival Profiles: Ipilimumab, Vemurafenib and Dacarbazine in Advanced Melanoma

Bolsinova, M.; de Boeck, P.; Tijmstra, J., 2016:
Modelling Conditional Dependence Between Response Time and Accuracy

Olier, I.; Springate, D.A.; Ashcroft, D.M.; Doran, T.; Reeves, D.; Planner, C.; Reilly, S.; Kontopantelis, E., 2016:
Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink

Verschave, S.H.; Rose, H.; Morgan, E.R.; Claerebout, E.; Vercruysse, J.; Charlier, J., 2016:
Modelling Cooperia oncophora: Quantification of key parameters in the parasitic phase

Zhou, H.; Hanson, T.; Jara, A.; Zhang, J., 2015:
Modelling County Level Breast Cancer Survival Data Using A Covariate-Adjusted Frailty Proportional Hazards Model

Jordanous, A.; Keller, B., 2016:
Modelling Creativity: Identifying Key Components through a Corpus-Based Approach

Gentile, F.; Tuszynski, J.A.; Barakat, K.H., 2018:
Modelling DNA Repair Pathways: Recent Advances and Future Directions

Dannenberg, F.; Dunn, K.E.; Bath, J.; Kwiatkowska, M.; Turberfield, A.J.; Ouldridge, T.E., 2016:
Modelling DNA origami self-assembly at the domain level

Winfield, J.M.; deSouza, N.M.; Priest, A.N.; Wakefield, J.C.; Hodgkin, C.; Freeman, S.; Orton, M.R.; Collins, D.J., 2015:
Modelling DW-MRI data from primary and metastatic ovarian tumours

Ruan, Y.; Wilinska, M.E.; Thabit, H.; Hovorka, R., 2016:
Modelling Day-to-Day Variability of Glucose-Insulin Regulation over 12-Week Home Use of Closed-Loop Insulin Delivery

Rakonczai, P.; Nagy, B.; Rojkovich, B.; Gáti, T., 2014:
Modelling Dependence Between Disability Status and Health Service Costs of People With Rheumatoid Arthritis in Hungary

Arata, L.; Meusburger, K.; Frenkel, E.; A'Campo-Neuen, A.; Iurian, A-Rada.; Ketterer, M.E.; Mabit, L.; Alewell, C., 2016:
Modelling Deposition and Erosion rates with RadioNuclides (MODERN) - Part 1: A new conversion model to derive soil redistribution rates from inventories of fallout radionuclides

Arata, L.; Alewell, C.; Frenkel, E.; A'Campo-Neuen, A.; Iurian, A-Rada.; Ketterer, M.E.; Mabit, L.; Meusburger, K., 2016:
Modelling Deposition and Erosion rates with RadioNuclides (MODERN) - Part 2: A comparison of different models to convert 239+240 Pu inventories into soil redistribution rates at unploughed sites

Kura, K.; Broom, M.; Kandler, A., 2015:
Modelling Dominance Hierarchies Under Winner and Loser Effects

Mushanyu, J.; Nyabadza, F.; Muchatibaya, G.; Stewart, A.G.R., 2016:
Modelling Drug Abuse Epidemics in the Presence of Limited Rehabilitation Capacity

Martyushev, A.; Nakaoka, S.; Sato, K.; Noda, T.; Iwami, S., 2016:
Modelling Ebola virus dynamics: Implications for therapy

Leander, R.N.; Goff, W.S.; Murphy, C.W.; Pulido, S.A., 2017:
Modelling Ebola within a community

Martínez-Moreno, J.M.; Sánchez-González, P.; Luna, M.; Roig, T.; Tormos, J.M.; Gómez, E.J., 2015:
Modelling Ecological Cognitive Rehabilitation Therapies for Building Virtual Environments in Brain Injury

Verstraeten, T.; Jiang, B.; Weil, J.G.; Lin, J.H., 2016:
Modelling Estimates of Norovirus Disease in Patients with Chronic Medical Conditions

Hughes, M.; Seesaghur, A.; D.S.lva, D., 2014:
Modelling Evolving Cancer Risk During Epidemiological Transition Using Economic Data

Peiró, S.; Gordon, M.H.; Blanco, Mónica.; Pérez-Llamas, F.; Segovia, F.; Almajano, Mía.Pilar., 2014:
Modelling Extraction of White Tea Polyphenols: The Influence of Temperature and Ethanol Concentration

Wang, C.; Xu, C.; Xia, J.; Qian, Z., 2016:
Modeling faults among e-bike-related fatal crashes in China

Hull, M.J.; Soffe, S.R.; Willshaw, D.J.; Roberts, A., 2016:
Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity

Dibal, J.M.; Igbadun, H.E.; Ramalan, A.A.; Mudiare, O.J., 2014:
Modelling Furrow Irrigation-Induced Erosion on a Sandy Loam Soil in Samaru, Northern Nigeria

Hughes, J.; Kabir, Z.; Bennett, K.; Hotchkiss, J.W.; Kee, F.; Leyland, A.H.; Davies, C.; Bandosz, P.; Guzman-Castillo, M.; O'Flaherty, M.; Capewell, S.; Critchley, J., 2016:
Modelling Future Coronary Heart Disease Mortality to 2030 in the British Isles

Fettig, J.; Liebe, H., 2015:
Modelling GAC adsorption of biologically pre-treated process water from hydrothermal carbonization

Hetmanski, J.H.R.; Schwartz, J-Marc.; Caswell, P.T., 2017:
Modelling GTPase dynamics to understand RhoA-driven cancer cell invasion

Emami, A.; Youssef, J.El.; Rabasa-Lhoret, R.; Pineau, J.; Castle, J.R.; Haidar, A., 2016:
Modeling Glucagon Action in Patients With Type 1 Diabetes

Kuwano, T.; Kawano, S.; Kagawa, D.; Yasuda, Y.; Inoue, Y.; Murase, T., 2018:
Dietary intake of glucono-δ-lactone attenuates skin inflammation and contributes to maintaining skin condition

Sun, X.; Xiao, Y.; Peng, Z., 2016:
Modelling HIV superinfection among men who have sex with men

Fiorentino, F.; Alarcão, J.; Bárbara, C.; Costa, J.; Borges, M.; Gouveia, M., 2015:
Modelling Health Benefits Associated to Early Diagnosis and Treatment of Copd

Gheorghe, M.; Brouwer, W.; van Baal, P., 2014:
Modelling Health-Related Quality Of Life (Hrqol) Longitudinally. A Bayesian Mixed Beta Regression Approach

Liau, K.Fui.; Yeoh, H.Koon.; Shoji, T.; Chua, A.Seak.May.; Ho, P.Yee., 2016:
Modelling High-temperature EBPR by Incorporating Glycogen and GAOs: Challenges from a Preliminary Study

Bauchau, V.; Van Holle, L.; Cohen, C., 2016:
Modelling Hospitalisation Ratios for Febrile Convulsions and Severe Varicella Under Combined Measles, Mumps, Rubella, and Varicella (MMRV-Priorix-Tetra™) Compared to Separate MMR + V Vaccination

Adhikari, D.; Tiwary, R.; Barik, S.Kanta., 2016:
Modelling Hotspots for Invasive Alien Plants in India

Wang, W.; Lu, H.; Yang, D.; Sothea, K.; Jiao, Y.; Gao, B.; Peng, X.; Pang, Z., 2016:
Modelling Hydrologic Processes in the Mekong River Basin Using a Distributed Model Driven by Satellite Precipitation and Rain Gauge Observations

Foreman, M.G.G.; Guo, M.; Garver, K.A.; Stucchi, D.; Chandler, P.; Wan, D.; Morrison, J.; Tuele, D., 2016:
Modelling Infectious Hematopoietic Necrosis Virus Dispersion from Marine Salmon Farms in the Discovery Islands, British Columbia, Canada

Vande Kerckhove, C.; Martin, S.; Gend, P.; Rentfrow, P.J.; Hendrickx, J.M.; Blondel, V.D., 2016:
Modelling Influence and Opinion Evolution in Online Collective Behaviour

Gasparrini, A., 2017:
Modelling Lagged Associations in Environmental Time Series Data: A Simulation Study

Altincatal, A.; Lawson, R.; King, F.; Marsh, K., 2014:
Modelling Long-Term Changes In Opioid Induced Constipation (OIC)

Jen, M.H., 2014:
Modelling Longitudinal Trajectories of Patient-Reported Outcomes To Evaluate Treatment Effect

Dang, P.T.; Bui, Q.; D'Souza, C.S.; Orian, J.M., 2015:
Modelling MS: Chronic-Relapsing EAE in the NOD/Lt Mouse Strain

Martin-Clouaire, R.; Rellier, J-Pierre.; Paré, Né.; Voltz, M.; Biarnès, A., 2016:
Modelling Management Practices in Viticulture while Considering Resource Limitations: The Dhivine Model

Reddy, B.; Adams, R.; Barry, M.; Kind, P.; Walsh, C.; Salomon, J., 2015:
Modelling Methods for Eq-5d - a Fitting Time for Change

Gao, H.; Qi, N.; Feng, L.; Ma, X.; Danton, M.; Berry, C.; Luo, X., 2016:
Modelling mitral valvular dynamics-current trend and future directions

Zhivagui, M.; Korenjak, M.; Zavadil, J., 2016:
Modelling Mutation Spectra of Human Carcinogens Using Experimental Systems

Kovess-Masfety, V.; Boyd, A., 2015:
Modelling Needs for Mental Healthcare from Epidemiological Surveys with Validation Using Sociodemographic Census Data

Bottomley, C.; Isham, V.; Vivas-Martínez, S.; Kuesel, A.C.; Attah, S.K.; Opoku, N.O.; Lustigman, S.; Walker, M.; Basáñez, M-Gloria., 2017:
Modelling Neglected Tropical Diseases diagnostics: the sensitivity of skin snips for Onchocerca volvulus in near elimination and surveillance settings

Seaton, S.E.; Barker, L.; Draper, E.S.; Abrams, K.R.; Modi, N.; Manktelow, B.N., 2016:
Modelling Neonatal Care Pathways for Babies Born Preterm: An Application of Multistate Modelling

Holte, J.Helgheim.; Sivey, P.; Abelsen, B.; Olsen, J.Abel., 2018:
Modelling Nonlinearities and Reference Dependence in General Practitioners' Income Preferences

Cuevas Rivera, D.; Bitzer, S.; Kiebel, S.J., 2016:
Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference

Njagarah, J.B.H.; Nyabadza, F., 2016:
Modelling Optimal Control of Cholera in Communities Linked by Migration

Sinclair, K.; Kinable, E.; Grosch, K.; Wang, J., 2017:
Modelling PK/QT relationships from Phase I dose-escalation trials for drug combinations and developing quantitative risk assessments of clinically relevant QT prolongations

Islam, M.R.; Garcia, S.C.; Clark, C.E.F.; Kerrisk, K.L., 2015:
Modelling Pasture-based Automatic Milking System Herds: Grazeable Forage Options

Islam, M.R.; Garcia, S.C.; Clark, C.E.F.; Kerrisk, K.L., 2015:
Modelling Pasture-based Automatic Milking System Herds: System Fitness of Grazeable Home-grown Forages, Land Areas and Walking Distances

Islam, M.R.; Clark, C.E.F.; Garcia, S.C.; Kerrisk, K.L., 2015:
Modelling Pasture-based Automatic Milking System Herds: The Impact of Large Herd on Milk Yield and Economics

Roques, L.; Bonnefon, O., 2016:
Modelling Population Dynamics in Realistic Landscapes with Linear Elements: A Mechanistic-Statistical Reaction-Diffusion Approach

Oliver, J.F.; Rafecas, M., 2016 :
Modelling Random Coincidences in Positron Emission Tomography by Using Singles and Prompts: A Comparison Study

Burden, R.J.; Higgins, J.; Whyte, G.P.; Pedlar, C.R., 2016:
Modelling Red Cell Population Dynamics and Iron Status in Elite Endurance Athletes: 1384 Board #37 June 2, 8: 00 AM - 9: 30 AM

Chen, L.; Dubrawski, A.; Clermont, G.; Hravnak, M.; Pinsky, M.R., 2015:
Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process

Christopher, A.; Hameister, H.; Corrigall, H.; Ebenhöh, O.; Müller, B.; Ullner, E., 2016:
Modelling Robust Feedback Control Mechanisms That Ensure Reliable Coordination of Histone Gene Expression with DNA Replication

Ferrer Savall, J.; Bidot, C.; Leblanc-Maridor, M.; Belloc, C.; Touzeau, S., 2017:
Modelling Salmonella transmission among pigs from farm to slaughterhouse: Interplay between management variability and epidemiological uncertainty

Lou, P.; Wang, L.; Zhang, X.; Xu, J.; Wang, K., 2016:
Modelling Seasonal Brucellosis Epidemics in Bayingolin Mongol Autonomous Prefecture of Xinjiang, China, 2010-2014

Ashiagbori, G.; Forkuo, E.K.; Laari, P.; Aabeyir, R., 2016:
Modelling Soil Erosion in the Densu River Basin Using RUSLE and GIS Tools

Giriraj, A.; Irfan-Ullah, M.; Murthy, M.Sri.Ramachandra.; Beierkuhnlein, C., 2008:
Modelling Spatial and Temporal Forest Cover Change Patterns (1973-2020): A Case Study from South Western Ghats (India)

Tebby, C.; Mombelli, E., 2013:
Modelling Structure Activity Landscapes with Cliffs: a Kernel Regression-Based Approach

Lee, D.; Porter, J.; Hertel, N.; Hatswell, A.J., 2014 :
Modelling Survival in the Presence of Different Mechanisms of Action: Ipilimumab and Vemurafenib in Advanced Melanoma

Calcagnì, A.; Kors, L.; Verschuren, E.; D.C.gli, R.; Zampelli, N.; Nusco, E.; Confalonieri, S.; Bertalot, G.; Pece, S.; Settembre, C.; Malouf, G.G.; Leemans, J.C.; de Heer, E.; Salvatore, M.; Peters, D.Jm.; D.F.ore, P.Paolo.; Ballabio, A., 2016:
Modelling TFE renal cell carcinoma in mice reveals a critical role of WNT signaling

Wang, X.; Saro, J.; Wei, Z.; Shi, M.M.; Xia, J.; Jones, G.; Bruckmann, K.; Wisniewski, L.; Schran, H.F., 2016:
Modelling TKI258 exposure and biomarker response in support of phase I dosing schedule finding

Dzhurakhalov, A.; Avramova, V.; Vissenberg, K.; Beemster, G.T.S.; Broeckhove, J., 2016:
Modelling The Cell Expansion In Maize Leaf

Martin, A.; Martin, C., 2015:
Modelling The Likely Impact of The Obesity Epidemic on Mortality And Cause of Death In Older Adults

Theodorakis, M.J.; Katsiki, N.; Arampatzi, K.; Chrousos, G.P., 2016:
Modeling the oral glucose tolerance test in normal and impaired glucose tolerant states: a population approach

James, A.; Molloy, S.M.; Ponder-Sutton, A.; Plank, M.J.; Lamoureaux, S.L.; Bourdôt, G.W.; Kelly, D., 2015:
Modelling Tradescantia fluminensis to assess long term survival

Pietribiasi, M.; Waniewski, J.; Załuska, A.; Załuska, W.; Lindholm, B., 2016:
Modelling Transcapillary Transport of Fluid and Proteins in Hemodialysis Patients

Bradbury, K.E.; Tong, T.Y.N.; Key, T.J., 2017:
Dietary Intake of High-Protein Foods and Other Major Foods in Meat-Eaters, Poultry-Eaters, Fish-Eaters, Vegetarians, and Vegans in UK Biobank

Bomzon, Z.; Urman, N.; Wenger, C.; Giladi, M.; Weinberg, U.; Wasserman, Y.; Kirson, E.D.; Miranda, P.C.; Palti, Y., 2016:
Modelling Tumor Treating Fields for the treatment of lung-based tumors

Miquelajauregui, Y.; Cumming, S.G.; Gauthier, S., 2016:
Modelling Variable Fire Severity in Boreal Forests: Effects of Fire Intensity and Stand Structure

Clapham, H.E.; Quyen, T.Ha.; Kien, D.Thi.Hue.; Dorigatti, I.; Simmons, C.P.; Ferguson, N.M., 2017:
Modelling Virus and Antibody Dynamics during Dengue Virus Infection Suggests a Role for Antibody in Virus Clearance

McAnally, K.; Martin, R., 2016:
Modelling Visual Change Detection and Identification under Free Viewing Conditions

Kwon, T-Sung.; Li, F.; Kim, S-Soo.; Chun, J.Hwa.; Park, Y-Seuk., 2016:
Modelling Vulnerability and Range Shifts in Ant Communities Responding to Future Global Warming in Temperate Forests

Mazzacavallo, M.G.; Kulmatiski, A., 2016:
Modelling Water Uptake Provides a New Perspective on Grass and Tree Coexistence

Ouyang, J.F.; Bettens, R.P.A., 2015:
Modelling Water: A Lifetime Enigma

Grau-Crespo, R.; Aziz, A.; Collins, A.W.; Crespo-Otero, R.; Hernández, N.C.; Rodriguez-Albelo, L.Marleny.; Ruiz-Salvador, A.Rabdel.; Calero, S.; Hamad, S., 2016:
Modelling a Linker Mix-and-Match Approach for Controlling the Optical Excitation Gaps and Band Alignment of Zeolitic Imidazolate Frameworks

O'Shea, R.; Wall, D.; Murphy, J.D., 2016:
Modelling a demand driven biogas system for production of electricity at peak demand and for production of biomethane at other times

Augustin, N.H.; Mattocks, C.; Faraway, J.J.; Greven, S.; Ness, A.R., 2015:
Modelling a response as a function of high-frequency count data: The association between physical activity and fat mass

Visser, L.G.; Roukens, A.He., 2016:
Modelling a way out of yellow fever

Mauya, E.William.; Ene, L.Theodor.; Bollandsås, O.Martin.; Gobakken, T.; Næsset, E.; Malimbwi, R.Ernest.; Zahabu, E., 2015:
Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania

Christie, I.M.; Petropoulou, M.; Mimica, P.; Giannios, D., 2016:
Modelling accretion disc and stellar wind interactions: the case of Sgr A

Mantouka, A.; Dogan, H.; White, P.R.; Leighton, T.G., 2016:
Modelling acoustic scattering, sound speed, and attenuation in gassy soft marine sediments

Katipoglu-Yazan, T., 2015:
Modelling aerobic stabilization of domestic and industrial sludge using a multi-component biomass model

Refsgaard, L.K.; Hoffmann-Petersen, J.; Sahlholt, M.; Pickering, D.S.; Andreasen, J.T., 2016:
Modelling affective pain in mice: Effects of inflammatory hypersensitivity on place escape/avoidance behaviour, anxiety and hedonic state

Lamonica, D.; Clément, B.; Charles, S.; Lopes, C., 2016:
Modelling algae-duckweed interaction under chemical pressure within a laboratory microcosm

Weremfo, A.; Lu, X.; Carter, P.; Hibbert, D.Brynn.; Zhao, C., 2016:
Modelling an electrochemically roughened porous platinum electrode for water oxidation

Arnell, M.; Astals, S.; Åmand, L.; Batstone, D.J.; Jensen, P.D.; Jeppsson, U., 2017:
Modelling anaerobic co-digestion in Benchmark Simulation Model No. 2: Parameter estimation, substrate characterisation and plant-wide integration

Satpathy, P.; Biernacki, P.; Uhlenhut, F.; Cypionka, H.; Steinigeweg, S., 2016:
Modelling anaerobic digestion in a biogas reactor: ADM1 model development with lactate as an intermediate (Part I)

Satpathy, P.; Biernacki, P.; Cypionka, H.; Steinigeweg, S., 2016:
Modelling anaerobic digestion in an industrial biogas digester: Application of lactate-including ADM1 model (Part II)

Ness, Tørn.V.; Chintaluri, C.; Potworowski, J.; Łęski, S.; Głąbska, H.; Wójcik, D.K.; Einevoll, G.T., 2016:
Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs)

Tang, G.; Zhu, Y.; Wu, G.; Li, J.; Li, Z-Liang.; Sun, J., 2016:
Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China

Tariq, I.; Chen, T.; Kirkby, N.F.; Jena, R., 2016:
Modelling and Bayesian adaptive prediction of individual patients' tumour volume change during radiotherapy

Deka, H.; Sarmah, R.; Sharma, A.; Biswas, S., 2015:
Modelling and Characterization of Glial Fibrillary Acidic Protein

Torrent-Sellens, J.; Díaz-Chao, Ángel.; Soler-Ramos, I.; Saigí-Rubió, F., 2017:
Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users

Anelone, A.J.N.; Spurgeon, S.K., 2016:
Modelling and Simulation of the Dynamics of the Antigen-Specific T Cell Response Using Variable Structure Control Theory

Huang, M.; Song, X.; Li, J., 2018:
Modelling and analysis of impulsive releases of sterile mosquitoes

Tareen, S.Hayat.Khan.; Ahmad, J., 2016:
Modelling and analysis of the feeding regimen induced entrainment of hepatocyte circadian oscillators using petri nets

Buckus, R.; Strukcinskiene, B.; Raistenskis, J.; Stukas, R., 2016:
Modelling and assessment of the electric field strength caused by mobile phone to the human head

Eleftheriou, G.; Monte, L.; Brittain, J.E.; Tsabaris, C., 2016:
Modelling and assessment of the impact of radiocesium and radiostrontium contamination in the Thermaikos Gulf, Greece

Kuang, Y.; Hilgers, A.; Sadiq, M.; Cochran, S.; Corner, G.; Huang, Z., 2016:
Modelling and characterisation of a ultrasound-actuated needle for improved visibility in ultrasound-guided regional anaesthesia and tissue biopsy

Bachis, G.; Maruéjouls, T.; Tik, S.; Amerlinck, Y.; Melcer, H.; Nopens, I.; Lessard, P.; Vanrolleghem, P.A., 2016:
Modelling and characterization of primary settlers in view of whole plant and resource recovery modelling

Chang, S.; Wang, X., 2016:
Modelling and computation in the valuation of carbon derivatives with stochastic convenience yields

Barbosa, Cátia.; Dong, T., 2016:
Modelling and design of a capacitive touch sensor for urinary tract infection detection at the point-of-care

Ducatti, C.; Sartori, M.M.P.; Denadai, J.C.; Costa, V.E.; Pelícia, V.C.; Macari, M., 2015:
Modelling and determination of metabolic pools by stable carbon isotopes in the avian duodenal mucosa and albumen

Raj, Y.; Sahu, D.; Pandey, A.; Venkatesh, S.; Reddy, D.; Bakkali, T.; Das, C.; Singh, K.Jitenkumar.; Kant, S.; Bhattacharya, M.; Stover, J.; Jha, U.Mohan.; Kumar, P.; Mishra, R.Manohar.; Chandra, N.; Gulati, B.K.; Mathur, S.; Joshi, D.; Chavan, L., 2015:
Modelling and estimation of HIV prevalence and number of people living with HIV in India, 2010-2011

Veliov, V.M.; Widder, A., 2018:
Modelling and estimation of infectious diseases in a population with heterogeneous dynamic immunity

ThiKimOanh, L.; Bloemhof-Ruwaard, J.M.; van Buuren, J.Cl.; van der Vorst, J.Gaj.; Rulkens, W.H., 2016:
Modelling and evaluating municipal solid waste management strategies in a mega-city: the case of Ho Chi Minh City

Erkaya, Sçuk.; Geymen, A.; Bostancı, Bülent., 2015:
Modelling and evaluation of light railway system's noise using neural predictors

Gómez, M.; Murcia, M.D.; Gómez, E.; Ortega, S.; Sánchez, A.; Thaikovskaya, O.; Briantceva, N., 2016:
Modelling and experimental checking of the influence of substrate concentration on the first order kinetic constant in photo-processes

Karystianis, G.; Sheppard, T.; Dixon, W.G.; Nenadic, G., 2016:
Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database

Pinto, R.Suzuky.; Lopes, M.S.; Collins, N.C.; Reynolds, M.P., 2016:
Modelling and genetic dissection of staygreen under heat stress

Jørgensen, C.; Enberg, K.; Mangel, M., 2016:
Modelling and interpreting fish bioenergetics: a role for behaviour, life-history traits and survival trade-offs

López, R.; Fernández, C.; Martínez, O.; Sánchez, M.E., 2015:
Modelling and kinetics studies of a corn-rape blend combustion in an oxy-fuel atmosphere

Diaz-de-Quijano, M.; Joly, D.; Gilbert, D.; Toussaint, M-Laure.; Franchi, M.; Fallot, J-Michel.; Bernard, N., 2016:
Modelling and mapping trace element accumulation in Sphagnum peatlands at the European scale using a geomatic model of pollutant emissions dispersion

Natrella, M.; Liu, C-Pang.; Graham, C.; van Dijk, F.; Liu, H.; Renaud, C.C.; Seeds, A.J., 2016:
Modelling and measurement of the absolute level of power radiated by antenna integrated THz UTC photodiodes

García-Herrera, C.M.; Celentano, D.J.; Herrera, E.A., 2016:
Modelling and numerical simulation of the in vivo mechanical response of the ascending aortic aneurysm in Marfan syndrome

Homayoonfal, M.; Khodaiyan, F.; Mousavi, M., 2015:
Modelling and optimising of physicochemical features of walnut-oil beverage emulsions by implementation of response surface methodology: effect of preparation conditions on emulsion stability

Kitzler, O.; McKay, A.; Spence, D.J.; Mildren, R.P., 2015:
Modelling and optimization of continuous-wave external cavity Raman lasers

Martinez-Rios, V.; Østergaard, N.Bjerre.; Gkogka, E.; Rosshaug, P.Sand.; Dalgaard, P., 2016:
Modelling and predicting growth of psychrotolerant pseudomonads in milk and cottage cheese

Lounis, F.Meriem.; Chamieh, J.; Leclercq, L.; Gonzalez, P.; Cottet, Hé., 2016:
Modelling and predicting the interactions between oppositely and variously charged polyelectrolytes by frontal analysis continuous capillary electrophoresis

Ačai, P.; Valík, L'.; Medved'ová, A.; Rosskopf, F., 2015:
Modelling and predicting the simultaneous growth of Escherichia coli and lactic acid bacteria in milk

Mejlholm, O.; Dalgaard, P., 2015:
Modelling and predicting the simultaneous growth of Listeria monocytogenes and psychrotolerant lactic acid bacteria in processed seafood and mayonnaise-based seafood salads

Mao, Z.; Saint-André, L.; Bourrier, F.; Stokes, A.; Cordonnier, T., 2016:
Modelling and predicting the spatial distribution of tree root density in heterogeneous forest ecosystems

Duc, H.Nguyen.; Bang, H.Quoc.; Quang, N.Xuan., 2016:
Modelling and prediction of air pollutant transport during the 2014 biomass burning and forest fires in peninsular Southeast Asia

Serrano, D.R.; Persoons, T.; D'Arcy, D.M.; Galiana, C.; Dea-Ayuela, M.Auxiliadora.; Healy, A.Marie., 2016:
Modelling and shadowgraph imaging of cocrystal dissolution and assessment of in vitro antimicrobial activity for sulfadimidine/4-aminosalicylic acid cocrystals

Cui, J.; Liu, Z.; Xu, L., 2016:
Modelling and simulation for table tennis referee regulation based on finite state machine

Hettinger, L.J.; Kirlik, A.; Goh, Y.Miang.; Buckle, P., 2015:
Modelling and simulation of complex sociotechnical systems: envisioning and analysing work environments

Khuzwayo, Z.; Chirwa, E.M.N., 2015:
Modelling and simulation of photocatalytic oxidation mechanism of chlorohalogenated substituted phenols in batch systems: Langmuir-Hinshelwood approach

Bustos, C.A.; García-Herrera, C.M.; Celentano, D.J., 2016:
Modelling and simulation of the mechanical response of a Dacron graft in the pressurization test and an end-to-end anastomosis

Rajika, J.K.A.T.; Narayana, M., 2016:
Modelling and simulation of wood chip combustion in a hot air generator system

Zhang, Y.; Wang, S.; Meng, D., 2015:
Modelling and structural characteristics analysis of gene networks for prostate cancer

Mahony, M.; Hulme, M., 2016:
Modelling and the Nation: Institutionalising Climate Prediction in the UK, 1988-92

Bohl, D.; Pochet, R.; Mitrecic, D.; Nicaise, C., 2015:
Modelling and treating amyotrophic lateral sclerosis through induced-pluripotent stem cells technology

Cecil, A.; Ohlsen, K.; Menzel, T.; François, P.; Schrenzel, J.; Fischer, A.; Dörries, K.; Selle, M.; Lalk, M.; Hantzschmann, J.; Dittrich, M.; Liang, C.; Bernhardt, Jörg.; Ölschläger, T.A.; Bringmann, G.; Bruhn, H.; Unger, M.; Ponte-Sucre, A.; Lehmann, L.; Dandekar, T., 2015:
Modelling antibiotic and cytotoxic isoquinoline effects in Staphylococcus aureus, Staphylococcus epidermidis and mammalian cells

Fang, F.; Lake, S.P., 2016:
Modelling approaches for evaluating multiscale tendon mechanics

Tonietto, M.; Rizzo, G.; Veronese, M.; Bertoldo, A., 2016:
Modelling arterial input functions in positron emission tomography dynamic studies

Chaurasia, P.; McClean, S.I.; Nugent, C.D.; Cleland, I.; Zhang, S.; Donnelly, M.P.; Scotney, B.W.; Sanders, C.; Smith, K.; Norton, M.C.; Tschanz, J., 2016:
Modelling assistive technology adoption for people with dementia

Hartter, J.; Stevens, F.R.; Hamilton, L.C.; Congalton, R.G.; Ducey, M.J.; Oester, P.T., 2016:
Modelling associations between public understanding, engagement and forest conditions in the Inland Northwest, USA

Xu, J.; Jüllig, M.; Middleditch, M.J.; Cooper, G.J.S., 2016:
Modelling atherosclerosis by proteomics: Molecular changes in the ascending aortas of cholesterol-fed rabbits

Karl, M.; Svendby, T.; Walker, S-E.; Velken, A.S.; Castell, N.; Solberg, S., 2015:
Modelling atmospheric oxidation of 2-aminoethanol (MEA) emitted from post-combustion capture using WRF-Chem

De Vuyst, É.; Mound, A.; Lambert de Rouvroit, C.; Poumay, Y., 2016:
Modelling atopic dermatitis during the morphogenetic process involved in reconstruction of a human epidermis

Ratola, N.; Jiménez-Guerrero, P., 2015:
Modelling benzo[a]pyrene in air and vegetation for different land uses and assessment of increased health risk in the Iberian Peninsula

He, Y.; Kulasiri, D.; Samarasinghe, S., 2017:
Modelling bidirectional modulations in synaptic plasticity: A biochemical pathway model to understand the emergence of long term potentiation (LTP) and long term depression (LTD)

Kazemi, M.; Biria, D.; Rismani-Yazdi, H., 2016:
Modelling bio-electrosynthesis in a reverse microbial fuel cell to produce acetate from CO2 and H2O