Models In Bioscience And Materials Research
DOWNLOAD
Download Models In Bioscience And Materials Research PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Models In Bioscience And Materials Research book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Models In Bioscience And Materials Research
DOWNLOAD
Author : Kholmirzo T. Kholmurodov
language : en
Publisher: Nova Science Publishers
Release Date : 2013
Models In Bioscience And Materials Research written by Kholmirzo T. Kholmurodov and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Biology categories.
This book provides an overview on different aspects of materials science and biological research. It outlines the current state and prospects of computer molecular simulation studies covering a broad spectrum of problems in modern physics, biochemistry, and nanotechnology. Topics discussed include molecular dynamics simulations of proteins mutation transition effects in protein structures and Monte-Carlo simulations of radiation-induced mutations. Novel MD computing methods and modern communication architectures are also mentioned.
Dynamic Models In Biology
DOWNLOAD
Author : Stephen P. Ellner
language : en
Publisher: Princeton University Press
Release Date : 2011-09-19
Dynamic Models In Biology written by Stephen P. Ellner and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-19 with Science categories.
From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.
Introduction To Modeling For Biosciences
DOWNLOAD
Author : David J. Barnes
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-23
Introduction To Modeling For Biosciences written by David J. Barnes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-23 with Computers categories.
Mathematical modeling can be a useful tool for researchers in the biological scientists. Yet in biological modeling there is no one modeling technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often unclear which modeling approaches will be most suitable for a particular biological question, a problem which requires researchers to know a reasonable amount about a number of techniques, rather than become experts on a single one. "Introduction to Modeling for Biosciences" addresses this issue by presenting a broad overview of the most important techniques used to model biological systems. In addition to providing an introduction into the use of a wide range of software tools and modeling environments, this helpful text/reference describes the constraints and difficulties that each modeling technique presents in practice, enabling the researcher to quickly determine which software package would be most useful for their particular problem. Topics and features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; intersperses the text with exercises throughout the book; includes practical introductions to the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment; discusses agent-based models, stochastic modeling techniques, differential equations and Gillespie’s stochastic simulation algorithm; contains appendices on Repast batch running, rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; supplies source code for many of the example models discussed, at the associated website http://www.cs.kent.ac.uk/imb/. This unique and practical guide leads the novice modeler through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Students and active researchers in the biosciences will also benefit from the discussions of the high-quality, tried-and-tested modeling tools described in the book. Dr. David J. Barnes is a lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming. Dr. Dominique Chu is a lecturer in computer science at the University of Kent, UK. He is an internationally recognized expert in agent-based modeling, and has also in-depth research experience in stochastic and differential equation based modeling.
Computational Modeling From Chemistry To Materials To Biology Proceedings Of The 25th Solvay Conference On Chemistry
DOWNLOAD
Author : Kurt Wuthrich
language : en
Publisher: World Scientific
Release Date : 2020-12-21
Computational Modeling From Chemistry To Materials To Biology Proceedings Of The 25th Solvay Conference On Chemistry written by Kurt Wuthrich and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-21 with Science categories.
Chaired by K Wüthrich (Nobel Laureate in Chemistry, 2002) and co-chaired by B Weckhuysen, this by-invitation-only conference has gathered 39 participants — who are leaders in the field of computational modeling and its applications in Chemistry, Material Sciences and Biology. Highlights of the Conference Proceedings are short, prepared statements by all the participants and the records of lively discussions on the current and future perspectives in the field of computational modeling, from chemistry to materials to biology.
Modeling Of Biological Materials
DOWNLOAD
Author : Francesco Mollica
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-31
Modeling Of Biological Materials written by Francesco Mollica and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-31 with Technology & Engineering categories.
This unique collection highlights the central role played by modeling in general, and the modeling of mechanical considerations that have an effect on living matter. The volume collects several survey papers by actively working specialists, dealing with some of the most important problems – both theoretical and practical – in biomechanics. Written in a user-friendly style, these papers clearly explain both the biomedical and mechanical backgrounds associated with complex phenomena. This book may be used in interdisciplinary introductory courses covering various biomechanical topics for graduate students in applied mathematics, engineering, and biomedicine.
Dynamic Models And Control Of Biological Systems
DOWNLOAD
Author : Vadrevu Sree Hari Rao
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-30
Dynamic Models And Control Of Biological Systems written by Vadrevu Sree Hari Rao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Science categories.
Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biological sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems which arise in the biological sciences and gives some indication of the wide spectrum of questions that modeling can address.
Mathematical Models For Dental Materials Research
DOWNLOAD
Author : Alex Fok
language : en
Publisher: Springer Nature
Release Date : 2020-02-24
Mathematical Models For Dental Materials Research written by Alex Fok and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with Medical categories.
This book presents a mechanistic approach—mathematical modeling—for carrying out dental materials research. This approach allows researchers to go beyond the null hypothesis and obtain a solution that is more general and therefore predictive for conditions other than those considered in a study. Hence it can be used either on its own or to complement the commonly used statistical approach. Through a series of practical problems with wide-ranging application, the reader will be guided on: How to construct a mathematical model for the behavior of dental materials by making informed assumptions of the physical, chemical, or mechanical situation How to simplify the model by making suitable simplifications How to calibrate the model by calculating the values of key parameters using experimental results How to refine the model when there are discrepancies between predictions and experiments Only elementary calculus is required to follow the examples and all the problems can be solved by using MS Excel© spreadsheets. This is an ideal book for dental materials researchers without a strong mathematical background who are interested in applying a more mechanistic approach to their research to give deeper insight into the problem at hand. Advance praise for Mathematical Models for Dental Materials Research: “This is a nice addition for research students on how to conduct their work and how to manage data analysis. It brings together a number of important aspects of dental materials investigations which has been missing in the literature. The practical examples make it much easier to understand.” – Michael F. Burrow, Clinical Professor in Prosthodontics, The University of Hong Kong “The great strengths of this volume are the real world examples of dental materials research in the successive chapters. In turn, this is an outcome of the outstanding expertise of both authors. I warmly recommend this book to the dental biomaterials community worldwide.” – David C. Watts, Professor of Biomaterials Science, University of Manchester, UK
Biomaterials For 3d Tumor Modeling
DOWNLOAD
Author : Subhas C. Kundu
language : en
Publisher: Elsevier
Release Date : 2020-08-22
Biomaterials For 3d Tumor Modeling written by Subhas C. Kundu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-22 with Technology & Engineering categories.
Biomaterials for 3D Tumor Modeling reviews the fundamentals and most relevant areas of the latest advances of research of 3D cancer models, focusing on biomaterials science, tissue engineering, drug delivery and screening aspects. The book reviews advanced fundamental topics, including the causes of cancer, existing cancer models, angiogenesis and inflammation during cancer progression, and metastasis in 3D biomaterials. Then, the most relevant biomaterials are reviewed, including methods for engineering and fabrication of biomaterials. 3D models for key biological systems and types of cancer are also discussed, including lung, liver, oral, prostate, pancreatic, ovarian, bone and pediatric cancer. This book is suitable for those working in the disciplines of materials science, biochemistry, genetics, molecular biology, drug delivery and regenerative medicine. Reviews key biomaterials topics, including synthetic biomaterials, hydrogels, e-spun materials and nanoparticles Provides a comprehensive overview of 3D cancer models for key biological systems and cancer types Includes an overview of advanced fundamental concepts for an interdisciplinary audience in materials science, biochemistry, regenerative medicine and drug delivery
Multi Scale Analysis For Microscopic Models In Materials Science And Cell Biology
DOWNLOAD
Author : Alvin T. J. Kho
language : en
Publisher:
Release Date : 2000
Multi Scale Analysis For Microscopic Models In Materials Science And Cell Biology written by Alvin T. J. Kho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Differential equations, Nonlinear categories.
Mathematical Models For Society And Biology
DOWNLOAD
Author : Edward Beltrami
language : en
Publisher: Academic Press
Release Date : 2002
Mathematical Models For Society And Biology written by Edward Beltrami and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Mathematical Modeling for Society and Biology engagingly relates mathematics to compelling real-life problems in biology and contemporary society. It shows how mathematical tools can be used to gain insight into these modern, common problems to provide effective, real solutions. Beltrami's creative, non-threatening approach draws on a wealth of interesting examples pertaining to current social and biological issues. Central ideas appear again in different contexts throughout the book, showing the general unity of the modeling process. The models are strikingly novel and based on issues of real concern. Most have never appeared in book form. Through the relevance of these models mathematics becomes not just figures and numbers, but a means to a more refined understanding of the world.