Contributions à la modélisation mathématique et numérique de problèmes issus de la biologie : applications aux Prions et à la maladie d’Alzheimer

The aim of this thesis is to study, under several aspects, the formation of amyloids from proteins polymerization. The mathematical modelling of these phenomena in the case of in vitro or in vivo polymerisation remains questioned. We then propose here several models, which are also investigated from theoritical and numerical point of view. In the first part we present works done in collaboration with biologists. We propose two models based on the current theory on Prion phenomena that are designed for specific experimental conditions. These models allow us to analyse the experimental data obtained in laboratory and raise phenomena that remain unexplained by the theory. Then, from these results and biophysical considerations, we introduce a model which corroborates with data and provides a new approach on the amyloid formation in the particular case of Prion. This part is ended by the mathematical analysis of the model consisting of an infinite set of differentials equations. The system analysed is a Becker-Doring system coupled to a discrete growth-fragmentation system. The second part is dedicated to the analysis of a new model for polymerization of proteins with fragmentation subject to the surrounding variations of the fluid. Thus, we propose a model which is close to the experimental conditions and introduce new measurable macroscopic quantities to study the polymerization. The first introductory chapter states the stochastic description of the problem. We give the equations of motion for each polymers and monomers as well as a general formalism to study the limit in large number. Next, we give the mathematical framework and prove the existence of solutions to the Fokker-Planck-Smoluchowski equation for the configurational density of polymers coupled to the diffusion equation for monomers. The last chapter provides a numerical method adapted to this problem with numerical simulations In the last part, we are interested in modelling Alzheimer’s disease. We introduce a model that describes the formation of amyloids plaques in the brain and the interactions between Aβ-oligomers and Prion proteins which might be responsible of the memory impairment. We carry out the mathematical analysis of the model. Namely, for a constant polymerization rate, we provide existence and uniqueness together with stability of the equilibrium. Finally we study the existence in a more general and biological relevant case, that is when the polymerization depends on the size of the amyloidL’objectif de cette thèse est d’étudier, sous divers aspects, le processus de formation d’amyloïde à partir de la polymérisation de protéines. Ces phénomènes, aussi bien in vitro que in vivo, posent des questions de modélisation mathématique. Il s’agit ensuite de conduire une analyse des modèles obtenus. Dans la première partie nous présentons des travaux effectués en collaboration avec une équipe de biologistes. Deux modèles sont introduits, basés sur la théorie en vigueur du phénomène Prions, que nous ajustons aux conditions expérimentales. Ces modèles nous permettent d’analyser les données obtenues à partir d’expériences conduites en laboratoire. Cependant celles-ci soulèvent certains phénomènes encore inexpliqués par la théorie actuelle. Nous proposons donc un autre modèle qui corrobore les données et donne une nouvelle approche de la formation d’amyloïde dans le cas du Prion. Nous terminons cette partie par l’analyse mathématique de ce système compose d’une infinité d’équations différentielles. Ce dernier consiste en un couplage entre un système de type Becker-Doring et un système de polymérisation-fragmentation discrète. La seconde partie s’attache à l’analyse d’un nouveau modèle pour la polymérisation de protéines dont la fragmentation est sujette aux variations du fluide environnant. L’idée est de décrire au plus près les conditions expérimentales mais aussi d’introduire de nouvelles quantités macroscopiques mesurables pour l’étude de la polymérisation. Le premier chapitre de cette partie présente une description stochastique du problème. On y établit les équations du mouvement des polymères et des monomères (de type Langevin) ainsi que le formalisme pour l’étude du problème limite en grand nombre. Le deuxième chapitre pose le cadre fonctionnel et l’existence de solutions pour l équation de Fokker-Planck- Smoluchowski décrivant la densité de configuration des polymères, elle-même couplée a une équation de diffusion pour les monomères. Le dernier chapitre propose une méthode numérique pour traiter ce problème. On s’intéresse dans la dernière partie à la modélisation de la maladie d’Alzheimer. On construit un modèle qui décrit d’une part la formation de plaque amyloïde in vivo, et d’autre part les interactions entre les oligomères d’Aβet la protéine prion qui induiraient la perte de mémoire. On mène l’analyse mathématique de ce modèle dans un cas particulier puis dans un cas plus général ou le taux de polymérisation est une loi de puissanc

Ahlfors circle maps and total reality: from Riemann to Rohlin

This is a prejudiced survey on the Ahlfors (extremal) function and the weaker {\it circle maps} (Garabedian-Schiffer's translation of "Kreisabbildung"), i.e. those (branched) maps effecting the conformal representation upon the disc of a {\it compact bordered Riemann surface}. The theory in question has some well-known intersection with real algebraic geometry, especially Klein's ortho-symmetric curves via the paradigm of {\it total reality}. This leads to a gallery of pictures quite pleasant to visit of which we have attempted to trace the simplest representatives. This drifted us toward some electrodynamic motions along real circuits of dividing curves perhaps reminiscent of Kepler's planetary motions along ellipses. The ultimate origin of circle maps is of course to be traced back to Riemann's Thesis 1851 as well as his 1857 Nachlass. Apart from an abrupt claim by Teichm\"uller 1941 that everything is to be found in Klein (what we failed to assess on printed evidence), the pivotal contribution belongs to Ahlfors 1950 supplying an existence-proof of circle maps, as well as an analysis of an allied function-theoretic extremal problem. Works by Yamada 1978--2001, Gouma 1998 and Coppens 2011 suggest sharper degree controls than available in Ahlfors' era. Accordingly, our partisan belief is that much remains to be clarified regarding the foundation and optimal control of Ahlfors circle maps. The game of sharp estimation may look narrow-minded "Absch\"atzungsmathematik" alike, yet the philosophical outcome is as usual to contemplate how conformal and algebraic geometry are fighting together for the soul of Riemann surfaces. A second part explores the connection with Hilbert's 16th as envisioned by Rohlin 1978.Comment: 675 pages, 199 figures; extended version of the former text (v.1) by including now Rohlin's theory (v.2

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen