[PDF] Top 20 Mathematical modeling in Neuroscience

... use in large stochastic particle systems, can be significantly weakened, in favor of statistical equivalent, and more structured global exchangeability properties such as the translation ...implications ... Voir le document complet

... use in large stochastic particle systems, can be significantly weakened, in favor of statistical equivalent, and more structured global exchangeability properties such as the translation ...implications ... Voir le document complet

... bioreactor. In this work, a mathematical model using Compu- tational Fluid Dynamics (CFD) techniques is used to study the gas-liquid dispersion in an airlift ...impeller in the stationary ... Voir le document complet

... Keywords: mathematical modeling, proliferation, theory, equations, param- eters 1 Introduction Mathematical modeling may serve many purposes such as performing quanti- tative predictions or ... Voir le document complet

... : Mathematical Modeling in Cellular Dynamics: Applications to Cancer Research Abstract : This thesis fits into the general framework of the study of population dynam- ...considered in this ... Voir le document complet

... Background: Mathematical modeling in epidemiology (MME) is being used ...uncertainties in terms of definitions, uses and quality features of ...published in the domain of ...have ... Voir le document complet

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

... presented in Lau and Derradji-Aouat (2004). In the time domain, the ice breaking by the ship is comprised of the following processes: 1) the ice deforms with the relatively small deflection and some initial ... Voir le document complet

... option? In a general perspective, apart from the interpretation of tumor dormancy 70 as an observed natural phenomenon in human cancers, the idea to transform cancer into a chronic disease is in the ... Voir le document complet

... studied in several organisms using time-lapse microscopy 146 ...missed. In regards to megakaryopoiesis, time-lapse video microscopy has also been applied to visualize two important dynamic processes; ... Voir le document complet

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

... noise in measurements and the inherent insensitivity mentioned before. In its most general form EIET is severely ill-posed and ...theorem in elliptic partial differential ...point in the ... Voir le document complet

... § Developing an adapted mathematical model for the process: Piecewise Deterministic Markov model [Davis (1984)] § Using the theory of optimal control from [Costa et al. (2016)] to solve the impulse control problem ... Voir le document complet

... method. In sect. 2 we perform, in the appropriate Sobolev spaces, the error analysis of a finite element spatial discretization and of a Newmark-type discrete time ... Voir le document complet

... shown in Appendix ...problem in designing and estimating epidemiological models, that also affects models with vector-borne transmission ( Kao and Eisenberg , 2018 ) and even simple models ( Evans et ...). ... Voir le document complet

... presented in Figures 5A, B, C, and D, ...tested in the laboratory), obtained values can be compared with in situ measurements to estimate an IE time for the hydraulic work to reach ... Voir le document complet

... microscopic-level modeling problem for the bioelectric activity of the heart, we mention the work by ...model in the framework of Γ-convergence theory presented in [PSF05] for a specific ionic ... Voir le document complet

... some mathematical results concerning the PCR system (Panic-Control-Reflex), which is a model for hu- man behaviors during catastrophic ...catastrophe, in a context of an established increase of natural and ... Voir le document complet

... are in immunolog- ical failure is that their viral load seems too low to be able to deplete the CD4 + population by direct killing ...alone. In this respect, the first studies 8 relate immunological failure ... Voir le document complet

... individual input variables. The predictive regime instead prioritizes the relevance of the model’s output for precise forecasting. Predictive modeling describes what ‘does’ happen. Prediction often does not ... Voir le document complet