Relevant bibliographies by topics / Biological systems modeling / Dissertations / Theses
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Dissertations / Theses on the topic 'Biological systems modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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1

Thiele, Sven. "Modeling biological systems with Answer Set Programming." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2012/5938/.

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Biology has made great progress in identifying and measuring the building blocks of life. The availability of high-throughput methods in molecular biology has dramatically accelerated the growth of biological knowledge for various organisms. The advancements in genomic, proteomic and metabolomic technologies allow for constructing complex models of biological systems. An increasing number of biological repositories is available on the web, incorporating thousands of biochemical reactions and genetic regulations. Systems Biology is a recent research trend in life science, which fosters a sy
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2

Iyoho, Anthony E. "Modeling and analysis of nonlinear biological systems." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/6012.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on December 28, 2007) Includes bibliographical references.
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3

Gao, Yue. "Modeling of Drug Transport in Biological Systems." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1316452154.

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4

Shi, Kevin Ph D. Massachusetts Institute of Technology. "Modeling and controlling uncertainty in multi-level biological systems." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121701.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 153-172).<br>Mathematical modeling is essential to the understanding and design of biological systems. Modeling uncertainty, which variously represents lack of data, variability between individuals and between different measurements of a single ind
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5

Mackin, Charles Edward. "Graphene chemical and biological sensors : modeling, systems, and applications." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118095.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis. Page 199 blank.<br>Includes bibliographical references (pages 173-198).<br>Graphene exhibits a unique combination of properties making it particularly promising for sensing applications. This thesis builds new graphene chemical and biological sensing technologies from the ground up by developing device models, systems, and applications. On the modeling side, this thesis develops a DC model for graphene electrolyte-gated field-effect tr
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6

Pokrzywa, Revonda Maria. "Systems Biology in an Imperfect World: Modeling Biological Systems with Incomplete Information." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/39938.

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One of the primary goals of systems biology is to understand the complex underlying network of biochemical interactions which allow an organism to respond to environmental stimuli. Models of these biological interactions serve as a tool to both codify current understanding of these interactions as well as a starting point for scientific discovery. Due to the massive amount of information which is required for this modeling process, systems biology studies must often attempt to construct models which reflect the whole of the system while having access to only partial information. In some cases,
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7

Lao, Bert Juan. "Diversified approach to the mathematical and computational modeling of biological systems." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1562159981&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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8

Shvonski, Alexander J. "Modeling Nonlocal and Nonlinear Response Phenomena of Plasmonic and Biological Systems." Thesis, Boston College, 2018. http://hdl.handle.net/2345/bc-ir:108209.

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Thesis advisor: Krzysztof Kempa<br>In this work, we first examine nonlocal behavior in plasmonic systems and develop or expand upon models that enable calculation of higher-order, nonlocal responses for systems with novel geometries. The effects of nonlocality, i.e., spatial dispersion, are prominent in nanostuctures with small feature sizes, and accurate calculations of the nonlocal response of nanostructures are increasingly important for the study of novel physics at the nanoscale. Next, we consider a specific biological system, double-stranded DNA, and investigate the nonlocal and nonlinea
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9

Ren, Xiaojing. "Modeling pattern formation of swimming E.coli." Click to view the E-thesis via HKUTO, 2010. http://sunzi.lib.hku.hk/hkuto/record/B43704001.

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10

Thiele, Sven [Verfasser], and Torsten [Akademischer Betreuer] Schaub. "Modeling biological systems with Answer Set Programming / Sven Thiele. Betreuer: Torsten Schaub." Potsdam : Universitätsbibliothek der Universität Potsdam, 2012. http://d-nb.info/1023164612/34.

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11

Stokes, Richard D. Jr. "Exergy Modeling to Compare Engineered Products to Biological Systems for Sustainable Design." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1783.

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An ambitious and novel approach to engineering design and sustainability has been taken to explore the potential of drawing parallels between mechanical and biological systems for the possible development of sustainable engineering design metrics using a thermodynamic model. This approach looks to biology. Natural selection has given biological beings and processes high exergetic efficiencies, even while being only 30-40% energy efficient on the cell level. This energy inefficiency, resulting in a release of heat, can then be used to aid in driving other biochemical processes. The Gibbs free e
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12

Quo, Chang Feng. "Reverse engineering homeostasis in molecular biological systems." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49144.

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This dissertation is an initial study of how modern engineering control may be applied to reverse engineer homeostasis in metabolic pathways using high-throughput biological data. This attempt to reconcile differences between engineering control and biological homeostasis from an interdisciplinary perspective is motivated not only by the observation that robust behavior in metabolic pathways resembles stabilized dynamics in controlled systems, but also by the challenges forewarned in achieving a true meeting of minds between engineers and biologists. To do this, a comparator model is developed
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13

Vera-Licona, Martha Paola. "Algorithms for modeling and simulation of biological systems; applications to gene regulatory networks." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28073.

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Systems biology is an emergent field focused on developing a system-level understanding of biological systems. In the last decade advances in genomics, transcriptomics and proteomics have gathered a remarkable amount data enabling the possibility of a system-level analysis to be grounded at a molecular level. The reverse-engineering of biochemical networks from experimental data has become a central focus in systems biology. A variety of methods have been proposed for the study and identification of the systemâ s structure and/or dynamics. The objective of this dissertation is to introduce
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14

Mitchell, Cassie S. "Viewpoint aggregation via relational modeling and analysis." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28213.

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Thesis (M. S.)--Biomedical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Lee, Robert; Committee Member: Kemp, Melissa; Committee Member: Prinz, Astrid; Committee Member: Ting, Lena; Committee Member: Wiesenfeld, Kurt.
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15

Flowers, David Christopher 1988. "Computational modeling of knowledge and uncertainty in systems biology for drug target identification and protein engineering." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119969.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 72-76).<br>In systems biology, ordinary differential equation models are used frequently to model the dynamics of molecular and cellular systems. These models are parameterized with rate constants and other quantities that are often estimated from empirical data. When the data are insufficient to fully determine the model parameters, the parameter values are unidentifiable, and many parameter sets are consisten
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16

Sonntag, Sebastian [Verfasser], and Inga [Akademischer Betreuer] Hense. "Modeling biological-physical feedback mechanisms in marine systems / Sebastian Sonntag. Betreuer: Inga Hense." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2013. http://d-nb.info/1045023582/34.

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17

Wierling, Christoph [Verfasser]. "Theoretical biology : Modeling and simulation of biological systems and laboratory methods / Christoph Wierling." Berlin : Freie Universität Berlin, 2010. http://d-nb.info/1024007383/34.

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18

Chowdhury, Indranil. "Potential based multi-physics modeling and simulation for integrated electronic and biological systems /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/5977.

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19

Zhao, Linlin [Verfasser], and Markus [Gutachter] Kollmann. "Modeling Biological Systems - from Mechanistics to Machine Learning / Linlin Zhao ; Gutachter: Markus Kollmann." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2019. http://d-nb.info/1200633989/34.

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20

Wu, Chih-Sung. "Designing tangible tabletop interactions to support the fitting process in modeling biological systems." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50128.

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This thesis aims to explore how to physically interact with computational models on an interactive tabletop display. The research began with the design and implementation of several prototype systems. The research of the prototype systems showed that tangible interactions on interactive tabletops have the potential to be more effective on some tasks than traditional interfaces that use screen displays, keyboards and mice. The prototype work shaped the research to focus on the effectiveness of adopting tangible interactions on interactive tabletops. To substantiate the thesis claims, this thesi
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21

Moses, Gregory J. "Dynamical Systems In Biological Modeling: Clustering In the Cell Division Cycle of Yeast." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1438170442.

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22

Uechi, Risa. "Modeling of Biological and Economical Phenomena Based on Analysis of Nonlinear Competitive Systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199432.

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23

Cui, Yuanyuan Ph D. Massachusetts Institute of Technology. "Computational modeling techniques for biological network productivity increases : optimization and rate-limiting reaction detection." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79208.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Computational and Systems Biology Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>The rapid development and applications of high throughput measurement techniques bring the biological sciences into a 'big data' era. The vast available data for enzyme and metabolite concentrations, fluxes, and kinetics under normal or perturbed conditions in biological networks provide unprecedented opportunities to understand the cell functions. On the other hand, it brings new challenges of handling, int
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24

Allen, Nicholas A. "Computational Software for Building Biochemical Reaction Network Models with Differential Equations." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/30059.

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The cell is a highly ordered and intricate machine within which a wide variety of chemical processes take place. The full scientific understanding of cellular physiology requires accurate mathematical models that depict the temporal dynamics of these chemical processes. Modelers build mathematical models of chemical processes primarily from systems of differential equations. Although developing new biological ideas is more of an art than a science, constructing a mathematical model from a biological idea is largely mechanical and automatable. This dissertation describes the practices and pr
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Allen, Nicholas Alexander. "Computational Software for Building Biochemical Reaction Network Models with Differential Equations." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/30059.

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The cell is a highly ordered and intricate machine within which a wide variety of chemical processes take place. The full scientific understanding of cellular physiology requires accurate mathematical models that depict the temporal dynamics of these chemical processes. Modelers build mathematical models of chemical processes primarily from systems of differential equations. Although developing new biological ideas is more of an art than a science, constructing a mathematical model from a biological idea is largely mechanical and automatable. This dissertation describes the practices and proc
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26

Zhang, Bai. "Modeling and Characterization of Dynamic Changes in Biological Systems from Multi-platform Genomic Data." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29111.

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Biological systems constantly evolve and adapt in response to changed environment and external stimuli at the molecular and genomic levels. Building statistical models that characterize such dynamic changes in biological systems is one of the key objectives in bioinformatics and computational biology. Recent advances in high-throughput genomic and molecular profiling technologies such as gene expression and and copy number microarrays provide ample opportunities to study cellular activities at the individual gene and network levels. The aim of this dissertation is to formulate mathematically d
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27

Pusuluri, Sai Teja. "Exploring Neural Network Models with Hierarchical Memories and Their Use in Modeling Biological Systems." Ohio University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1490116134938074.

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28

Hengenius, James B. "Quantitative modeling of spatiotemporal systems| Simulation of biological systems and analysis of error metric effects on model fitting." Thesis, Purdue University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3687049.

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<p> Understanding the biophysical processes underlying biological and biotechnological processes is a prerequisite for therapeutic treatments and technological innovation. With the exponential growth of computational processing speed, experimental findings in these fields have been complemented by dynamic simulations of developmental signaling and genetic interactions. Models provide means to evaluate "emergent" properties of systems sometimes inaccessible by reductionist approaches, making them test beds for biological inference and technological refinement.</p><p> The complexity and interc
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29

Claas, Allison. "Systems modeling of quantitative kinetic data identifies receptor tyrosine kinase-specific resistance mechanisms to MAPK pathway inhibition in cancer." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112514.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 149-156).<br>Targeted cancer therapeutics have seen constraint in clinical efficacy due to resistance. Indicators for resistance may include genetic mutations or protein-level overexpression of targeted or bypass receptor tyrosine kinases (RTKs). While the latter is often attributed to gene amplification, genetic characterization of tumor biopsies has failed to explain substantial proportions of resistance. We
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30

Wu, Jialiang. "Hybrid modeling and analysis of multiscale biochemical reaction networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/47723.

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This dissertation addresses the development of integrative modeling strategies capable of combining deterministic and stochastic, discrete and continuous, as well as multi-scale features. The first set of studies combines the purely deterministic modeling methodology of Biochemical Systems Theory (BST) with a hybrid approach, using Functional Petri Nets, which permits the account of discrete features or events, stochasticity, and different types of delays. The efficiency and significance of this combination is demonstrated with several examples, including generic biochemical networks with feed
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31

Ren, Xiaojing, and 任晓晶. "Modeling pattern formation of swimming E.coli." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B43704001.

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32

Payne, Karl A. "Mathematical and Numerical Modeling of Hybrid Adsorption and Biological Treatment Systems for Enhanced Nitrogen Removal." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7702.

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High nutrient loading into groundwater and surface water systems has deleterious impacts on the environment, such as eutrophication, decimation of fish populations, and oxygen depletion. Conventional onsite wastewater treatment systems (OWTS) and various waste streams with high ammonium (NH4+) concentrations present a challenge, due the inconsistent performance of environmental biotechnologies aimed at managing nutrients from these sources. Biological nitrogen removal (BNR) is commonly used in batch or packed-bed reactor configurations for nitrogen removal from various waste streams. In recogn
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33

OBAIDULLAH, AHMAD J. "USING HYDROPATHIC MOLECULAR MODELING TOOLS TO ENHANCE UNDERSTANDING OF PROTEIN-LIGAND INTERACTIONS IN BIOLOGICAL SYSTEMS." VCU Scholars Compass, 2017. https://scholarscompass.vcu.edu/etd/5156.

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Hydropathic molecular modeling is a computer-aided molecular design technique for obtaining, representing, and understanding the properties and interactions of biomacromolecular complexes in the biological environment. Hydropathic INTeraction (HINT) is a novel empirical force field to calculate the free energy of intermolecular interaction based on experimentally determined partition coefficients (log Po/w). It includes all the expected interactions between molecules such as hydrogen bonding, hydrophobic, electrostatic, acid-base, and Coulombic interactions, entropy, solvation and others. HINT
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34

Benkirane, Soufiene. "Process algebra for epidemiology : evaluating and enhancing the ability of PEPA to describe biological systems." Thesis, University of Stirling, 2011. http://hdl.handle.net/1893/3603.

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Modelling is a powerful method for understanding complex systems, which works by simplifying them to their most essential components. The choice of the components is driven by the aspects studied. The tool chosen to perform this task will determine what can be modelled, the maximum number of components which can be represented, as well as the analyses which can be performed on the system. Performance Evaluation Process Algebra (PEPA) was initially developed to tackle computer systems issues. Nevertheless, it possesses some interesting properties which could be exploited for the study of epidem
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35

Rosenblatt, Marcus [Verfasser], and Jens [Akademischer Betreuer] Timmer. "From steady states to dynamics : : methods for mechanistic modeling of biological systems with applications to interferon apha signaling." Freiburg : Universität, 2021. http://d-nb.info/1233966510/34.

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36

Gonçalves, Monteiro Pedro Tiago. "Towards an integrative approach for the modeling and formal verification of biological regulatory networks." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10239/document.

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L'étude des grands modèles de réseaux biologiques par l'utilisation d'outils d'analyse et de simulation conduit à un grand nombre de prédictions. Cela soulève la question de savoir comment identifier les prédictions intéressantes de nouveaux phénomènes, qui peuvent être confrontés à des données expérimentales. Les techniques de vérification formelle basées sur le model checking constituent une technologie puissante pour faire face à cette augmentation d'échelle et de complexité pour l'analyse de ces réseaux. L'application de ces techniques est par contre difficile, pour plusieurs raisons. Prem
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37

Borger, Simon. "Parametrising kinetic models of biological networks." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2009. http://dx.doi.org/10.18452/16041.

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Systembiologie strebt danach, biologische Netzwerke dynamisch zu modellieren. Zwei Erfordernisse sind zuhierfür erfüllen. Erstens müssen die Interaktionsnetzwerke bekannt sein. Zweitens muss die Dynamik einerjeden Interaktion aufgedeckt werden. Die Dynamik von Interaktionen werden durch Ratengleichungen beschrieben unter Verwendung von Kinetiken. Diese Kinetiken beschreiben den Interaktionsmechanismus. Für jede einzelne Interaktion des Netzwerkes sind die Parameter durch das Experiment zu bestimmt. Für enzymkatalysierte Reaktionen zum Beispiel werden Messungen durchgeführt, in welchen der Verb
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38

Hajaya, Malek Ghaleb. "Fate and effect of quaternary ammonium antimicrobial compounds on biological nitrogen removal within high-strength wastewater treatment systems." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41113.

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High strength wastewater (HSWW) generated in food processing industries is characterized by high organic carbon and nitrogen content, and thus high oxygen demand. Biological nitrogen removal (BNR) is a technology widely used for the treatment of HSWW. Food processing facilities practice sanitation to keep food contact surfaces clean and pathogen-free. Benzalkonium chlorides (BACs) are cationic quaternary ammonium antimicrobial compounds (QACs) common in industrial antimicrobial formulations. BAC-bearing wastewater generated during sanitation applications in food processing facilities is combin
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39

Assar, Rodrigo. "Modeling and simulation of Hybrid Systems and Cell factory applications." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2011. http://tel.archives-ouvertes.fr/tel-00635273.

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Les Fonctions biologiques sont le résultat de l'interaction de beaucoup de processus, avec differents objectives, complexités, niveaux d'hiérarchie, et changements de conditions que modi ent le comportement de systèmes. Nous utilisons des équations diferenciales ou dynamiques plus générales, et Stochastic Systèmes de Transition pour décrire la dynamique de changements des modèles. La composition, réconciliation et reutilisation des modèles nous permettent d'obtenir des descriptions de systèmes biologiques complètes et compatibles et leur combiner. Notre spéci cation de Systèmes Hybrides avec B
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40

Assar, Cuevas Rodrigo. "Modeling and simulation of hybrid systems and cell factory applications." Thesis, Bordeaux 1, 2011. http://www.theses.fr/2011BOR14335/document.

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Les fonctions biologiques sont le résultat de l'interaction de beaucoup de processus, avec différents objectifs, complexités, niveaux de hiérarchie, et changements de conditions que modifient le comportement de systèmes. Nous utilisons des équations différentielles ou dynamiques plus générales, et systèmes stochastiques de transition pour décrire la dynamique de changements des modèles. La composition, réconciliation et réutilisation des modèles nous permettent d'obtenir des descriptions de systèmes biologiques complètes et compatibles et leur combiner. Notre spécification de systèmes hybrides
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41

Neto, Milton Gallo. "Modelagem farmacocinética e análise de sistemas lineares para a predição da concentração de medicamentos no corpo humano." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3150/tde-18072013-153947/.

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A modelagem farmacocinética permite prever a concentração de medicamentos em diferentes tecidos do organismo humano. O desenvolvimento de modelos matemáticos é importante para verificar a adequação de certos procedimentos realizados na administração de medicamentos. O objetivo deste trabalho é o desenvolvimento de um modelo farmacocinético capaz de prever a concentração plasmática de drogas no organismo para diversas formas de infusão. Foram utilizados dois tipos de abordagem. Inicialmente, na abordagem monocompartimental, considerou-se que a droga adentra ao organismo diretamente no compartim
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42

George, Suma. "Simulink modeling and implementation of cmos dendrites using fpaa." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44915.

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In this thesis, I have studied CMOS dendrites, implemented them on a reconfigurable analog platform and modeled them using MATLAB Simulink. The dendrite model was further used to build a computational model. I implemented a Hidden Markov Model (HMM) classifier to build a simple YES/NO wordspotter. I also discussed the inter-relation between neural systems, CMOS transistors and HMM networks. The physical principles behind the operation of silicon devices and biological structures are similar. Hence silicon devices can be used to emulate biological structures like dendrites. Dendrites are a bran
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43

Janowski, Sebastian Jan [Verfasser]. "VANESA - A bioinformatics software application for the modeling, visualization, analysis, and simulation of biological networks in systems biology applications / Sebastian Jan Janowski." Bielefeld : Universitaetsbibliothek Bielefeld, 2013. http://d-nb.info/1036112020/34.

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44

Reid, Michael Steven. "The Role of Heterogeneity in Rhythmic Networks of Neurons." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14565.

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Engineers often view variability as undesirable and seek to minimize it, such as when they employ transistor-matching techniques to improve circuit and system performance. Biology, however, makes no discernible attempt to avoid this variability, which is particularly evident in biological nervous systems whose neurons exhibit marked variability in their cellular properties. In previous studies, this heterogeneity has been shown to have mixed consequences on network rhythmicity, which is essential to locomotion and other oscillatory neural behaviors. The systems that produce and control thes
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45

Kuonen, Oliver Dominik. "De novo design, molecular dynamics simulations and ab initio calculations as tools to investigate biological systems : a critical application of the Molecular Modeling approach in ligand design /." Zürich : ETH, 1997. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=12370.

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46

Luo, Yang. "Stochastic modelling in biological systems." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610145.

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47

Billing, Alison Emslie. "Modelling techniques for biological systems." Master's thesis, University of Cape Town, 1987. http://hdl.handle.net/11427/21917.

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The objective of this investigation has been to develop and evaluate techniques which are appropriate to the modelling and simulation of biological reaction system behaviour. The model used as the basis for analysis of modelling and simulation techniques is a reduced version of the biological model proposed by the IAWPRC Task Group for mathematical modell ing in wastewater treatment design. This limited model has the advantage of being easily manageable in terms of analysis and presentation of the simulation techniQues whilst at the same time incorporating a range of features encountered with
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48

Djema, Walid. "Understanding cell dynamics in cancer from control and mathematical biology standpoints : particular insights into the modeling and analysis aspects in hematopoietic systems and leukemia." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS470.

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Cette thèse porte sur la modélisation et l’analyse de stabilité de certains mécanismes biologiques complexes en rapport avec le cancer. Un intérêt particulier est porté au cas de l’hématopoïèse et de la leucémie aiguë myéloblastique (LAM). Les modèles utilisés et/ou introduits dans cette thèse se décrivent par des équations aux dérivées partielles structurées en âge, qui se réduisent à des systèmes à retards de plusieurs types (retards ponctuels ou distribués, à support fini ou infini). Ces modèles à retards sont parfois couplés à des équations aux différences, et possiblement avec des paramèt
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49

Denoyer, Yves. "Stimulation électrique transcrânienne multisite dans l'épilepsie pharmaco-résistante." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S110.

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La stimulation cérébrale transcrânienne à courant continu (tDCS) est une technique de neuromodulation qui a connu un essor récent en neurologie clinique et en neuropsychologie. La stimulation cathodale a un effet inhibiteur sur le cortex cérébral, qui pourrait avoir une action thérapeutique dans l’épilepsie focale, avec des effets rémanents parfois durables. Les mécanismes neurophysiologiques en restent mal connus. La première partie de ce travail est une étude clinique pilote visant à tester un nouveau matériel de tDCS à haute résolution dans l’épilepsie focale pharmacorésistante. 5 patients
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Cameretti, Luca F. "Modeling of thermodynamic properties in biological solutions." Göttingen Cuvillier, 2008. http://d-nb.info/992302749/04.

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