Mechanobiology

Mechanobiology
Author: Glen L. Niebur
Publisher: Elsevier
Total Pages: 256
Release: 2019-12-01
Genre: Science
ISBN: 0128179325

Mechanobiology: From Molecular Sensing to Disease will provide a review of the current state of understanding of mechanobiology and its role in health and disease. It covers: Current understanding of the main molecular pathways by which cells sense and respond to mechanical stimuli, A review of diseases that with known or purported mechanobiological underpinnings; The role of mechanobiology in tissue engineering and regenerative medicine; Experimental methods to capture mechanobiological phenomena; Computational models in mechanobiology. - Presents our current understanding of the main molecular pathways by which cells sense and respond to mechanical stimuli - Provides a review of diseases with known or purported mechanobiological underpinnings - Includes the role of mechanobiology in tissue engineering and regenerative medicine - Covers experimental methods to capture mechanobiological phenomena

Mathematical Understanding of Infectious Disease Dynamics

Mathematical Understanding of Infectious Disease Dynamics
Author: Stefan Ma
Publisher: World Scientific
Total Pages: 240
Release: 2009
Genre: Technology & Engineering
ISBN: 9812834826

An Original book with a comprehensive collection of many significant topics of the frontiers in applied presentation of many epidemic models with many real-life examples. presents an integration of interesting ideas from the well-mixed fields of statistics and mathematics. A valuable resource for researchers in wide range of disciplines to solve problems of practical interest.

Modeling and Dynamics of Infectious Diseases

Modeling and Dynamics of Infectious Diseases
Author: Zhien Ma
Publisher: World Scientific
Total Pages: 355
Release: 2009
Genre: Medical
ISBN: 9814261254

This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of ? along with many new ideas and results on ? infectious disease modeling, parameter estimation and transmission dynamics. It provides complementary approaches, from deterministic to statistical to network modeling; and it seeks viewpoints of the same issues from different angles, from mathematical modeling to statistical analysis to computer simulations and finally to concrete applications.

Population Dynamics and Infectious Diseases in Asia

Population Dynamics and Infectious Diseases in Asia
Author: Adrian Sleigh
Publisher: World Scientific
Total Pages: 463
Release: 2006
Genre: Medical
ISBN: 9812568336

Initially stimulated by a scholarly workshop convened in Singapore in late 2004, and written over the subsequent 18 months, this volume considers the potentially lethal pattern of infectious disease emergence in Asia. It studies linkages to changes in patterns of human activity, including but not limited to shifts in the distribution and concentration of human settlements and the patterns of movement within and between them. It explores the causes and consequences of infectious agents in the region historically and examines such newly emergent natural biological threats as SARS and avian influenza.Drawing on a range of disciplinary perspectives, the book contains analyses rooted in the social, physical and biological sciences as well as works which span these fields. Among the issues considered are the ways in which changes in our natural and built environment, social and economic pressures, shifting policies and patterns of collaboration in responding to disease impact upon our approach to and success in containing serious threats.Infection control has moved beyond the province of clinical experts, epidemiologists and microbiologists, into the mathematics of epidemic prevention and control, as well as the overall physical and human ecology and historical contexts of emerging infections. Not only does such a broad approach enable appreciation of complex forces driving growing epidemic risks in Asia today, it also reveals the importance and relevance of population dynamics, as well as the global urgency of alleviating unsatisfactory health conditions in Asia. The topic and the broad approach has international appeal beyond the region as many of these forces operate throughout the world.

Large-Scale Inverse Problems and Quantification of Uncertainty

Large-Scale Inverse Problems and Quantification of Uncertainty
Author: Lorenz Biegler
Publisher: John Wiley & Sons
Total Pages: 403
Release: 2011-06-24
Genre: Mathematics
ISBN: 1119957583

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: Brings together the perspectives of researchers in areas of inverse problems and data assimilation. Assesses the current state-of-the-art and identify needs and opportunities for future research. Focuses on the computational methods used to analyze and simulate inverse problems. Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.

Mathematical Epidemiology of Infectious Diseases

Mathematical Epidemiology of Infectious Diseases
Author: O. Diekmann
Publisher: John Wiley & Sons
Total Pages: 324
Release: 2000-04-07
Genre: Mathematics
ISBN: 9780471492412

Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J. A. P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled. Conceptual clarity is attained, assumptions are stated clearly, hidden working hypotheses are attained and mechanistic links between different observables are exposed. Features: * Model construction, analysis and interpretation receive detailed attention * Uniquely covers both deterministic and stochastic viewpoints * Examples of applications given throughout * Extensive coverage of the latest research into the mathematical modelling of epidemics of infectious diseases * Provides a solid foundation of modelling skills The reader will learn to translate, model, analyse and interpret, with the help of the numerous exercises. In literally working through this text, the reader acquires modelling skills that are also valuable outside of epidemiology, certainly within population dynamics, but even beyond that. In addition, the reader receives training in mathematical argumentation. The text is aimed at applied mathematicians with an interest in population biology and epidemiology, at theoretical biologists and epidemiologists. Previous exposure to epidemic concepts is not required, as all background information is given. The book is primarily aimed at self-study and ideally suited for small discussion groups, or for use as a course text.

The Granulomatous Disorders

The Granulomatous Disorders
Author: D. Geraint James
Publisher: Cambridge University Press
Total Pages: 766
Release: 1999-09-09
Genre: Medical
ISBN: 9780521592215

This authoritative account of the granulomatous disorders provides a comprehensive overview of this complex group of diseases. Collectively, these disorders can present a bewildering array of symptoms, affecting all the body systems. This volume takes full account of recent advances in our knowledge of the molecular biology and immunology of these disorders, and casts fresh light on their diagnosis and treatment. This timely publication is organised to include chapters focused on causative agents and those addressing affected body systems. Highly illustrated throughout, including numerous colour plates, it encompasses and integrates the very latest science, pathology and practical clinical advice. Compiled by international authorities with chapters which combine the expertise of both a pathologist and clinician, it is sure to become an essential source of reference for a very wide readership including infectious disease specialists, immunologists, pathologists, radiologists, ophthalmologists and general physicians.

Mathematical Models for Communicable Diseases

Mathematical Models for Communicable Diseases
Author: Fred Brauer
Publisher: SIAM
Total Pages: 288
Release: 2012-01-01
Genre: Mathematics
ISBN: 9781611972429

This graduate-level textbook appeals to readers interested in the mathematical theory of disease transmission models. It is self-contained and accessible to readers who are comfortable with calculus, elementary differential equations, and linear algebra. The book provides insight into modeling cross-immunity between different disease strains (such as influenza) and the synergistic interactions between multiple diseases (e.g., HIV and tuberculosis); diseases transmitted by viral agents, bacteria, and vectors (e.g., mosquitos transmitting malaria to humans); and both epidemic and endemic disease occurrences.

Geographically Weighted Regression

Geographically Weighted Regression
Author: A. Stewart Fotheringham
Publisher: John Wiley & Sons
Total Pages: 282
Release: 2003-02-21
Genre: Science
ISBN: 0470855258

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).

Dynamical Modeling And Analysis Of Epidemics

Dynamical Modeling And Analysis Of Epidemics
Author: Zhien Ma
Publisher: World Scientific
Total Pages: 513
Release: 2009-05-22
Genre: Mathematics
ISBN: 9814471429

This timely book covers the basic concepts of the dynamics of epidemic disease, presenting various kinds of models as well as typical research methods and results. It introduces the latest results in the current literature, especially those obtained by highly rated Chinese scholars. A lot of attention is paid to the qualitative analysis of models, the sheer variety of models, and the frontiers of mathematical epidemiology. The process and key steps in epidemiological modeling and prediction are highlighted, using transmission models of HIV/AIDS, SARS, and tuberculosis as application examples.