Skip to main content
Elsevier
View Cart
openUserAccount

Books in Mathematical biosciences

BooksJournals
11-20 of 28 results in All results

Computational Modelling of Biomechanics and Biotribology in the Musculoskeletal System

  • 1st Edition
  • April 8, 2014
  • Z Jin
  • English
  • Paperback
    9 7 8 - 0 - 8 5 7 0 9 - 6 6 1 - 6
  • eBook
    9 7 8 - 0 - 8 5 7 0 9 - 6 7 3 - 9
Computational Modelling of Biomechanics and Biotribology in the Musculoskeletal System reviews how a wide range of materials are modelled and how this modelling is applied. Computational modelling is increasingly important in the design and manufacture of biomedical materials, as it makes it possible to predict certain implant-tissue reactions, degradation, and wear, and allows more accurate tailoring of materials' properties for the in vivo environment. Part I introduces generic modelling of biomechanics and biotribology with a chapter on the fundamentals of computational modelling of biomechanics in the musculoskeletal system, and a further chapter on finite element modelling in the musculoskeletal system. Chapters in Part II focus on computational modelling of musculoskeletal cells and tissues, including cell mechanics, soft tissues and ligaments, muscle biomechanics, articular cartilage, bone and bone remodelling, and fracture processes in bones. Part III highlights computational modelling of orthopedic biomaterials and interfaces, including fatigue of bone cement, fracture processes in orthopedic implants, and cementless cup fixation in total hip arthroplasty (THA). Finally, chapters in Part IV discuss applications of computational modelling for joint replacements and tissue scaffolds, specifically hip implants, knee implants, and spinal implants; and computer aided design and finite element modelling of bone tissue scaffolds. This book is a comprehensive resource for professionals in the biomedical market, materials scientists and mechanical engineers, and those in academia.

Computational Neuroscience

  • 1st Edition
  • Volume 123
  • February 18, 2014
  • Kim L. Blackwell
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 9 7 8 9 7 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 7 9 0 8 - 7
Progress in Molecular Biology and Translational Science provides a forum for discussion of new discoveries, approaches, and ideas in molecular biology. It contains contributions from leaders in their fields and abundant references. This volume brings together different aspects of, and approaches to, molecular and multi-scale modeling, with applications to a diverse range of neurological diseases. Mathematical and computational modeling offers a powerful approach for examining the interaction between molecular pathways and ionic channels in producing neuron electrical activity. It is well accepted that non-linear interactions among diverse ionic channels can produce unexpected neuron behavior and hinder a deep understanding of how ion channel mutations bring about abnormal behavior and disease. Interactions with the diverse signaling pathways activated by G protein coupled receptors or calcium influx adds an additional level of complexity. Modeling is an approach to integrate myriad data sources into a cohesive and quantitative model in order to evaluate hypotheses about neuron function. In particular, a validated model developed using in vitro data allows simulations of the response to in vivo like spatio-temporal patterns of synaptic input. Incorporating molecular signaling pathways into an electrical model, allows a greater range of models to be developed, ones that can predict the response to pharmaceuticals, many of which target neuromodulator pathways.

Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems

  • 1st Edition
  • October 22, 2013
  • A.J. Askew + 2 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 1 - 8 9 5 8 - 1
Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems is a collection of paper that details the experiences in the operational and logistical aspects of utilizing water resource models. The title provides the general report on model structure and classification; experiences of the hydrologic engineering center in maintaining widely used hydrologic and water resource computer models; and the operational experience of on-line hydrological simulation. The selection also covers the implementation and application of a suite for the simulation of complex water resource systems in evaluation and planning studies; and the use of a groundwater model in the design, performance; and the assessment, and operation of a river regulation scheme. The book will be of great use to researchers and practitioners of hydrological sciences.

Mathematical Neuroscience

  • 1st Edition
  • August 16, 2013
  • Stanislaw Brzychczy + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 1 1 4 6 8 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 0 4 8 2 - 2
Mathematical Neuroscience is a book for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear analysis of infinite systems based on functional analysis techniques arising in modern mathematics. Neural models that describe the spatio-temporal evolution of coarse-grained variables—such as synaptic or firing rate activity in populations of neurons —and often take the form of integro-differential equations would not normally reflect an integrative approach. This book examines the solvability of infinite systems of reaction diffusion type equations in partially ordered abstract spaces. It considers various methods and techniques of nonlinear analysis, including comparison theorems, monotone iterative techniques, a truncation method, and topological fixed point methods. Infinite systems of such equations play a crucial role in the integrative aspects of neuroscience modeling.

Handbook of Systems Biology

  • 1st Edition
  • November 20, 2012
  • Marian Walhout + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 5 9 4 4 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 5 9 4 5 - 7
This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as the importance of systems biology in human biological research. Technology, being an extremely important aspect of scientific progress overall, and in the creation of new fields in particular, is discussed in 'boxes' within each chapter to relate to appropriate topics.

Geometric Morphometrics for Biologists

  • 2nd Edition
  • August 2, 2012
  • Miriam Zelditch + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 6 9 0 3 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 6 9 0 4 - 3
The first edition of Geometric Morphometrics for Biologists has been the primary resource for teaching modern geometric methods of shape analysis to biologists who have a stronger background in biology than in multivariate statistics and matrix algebra. These geometric methods are appealing to biologists who approach the study of shape from a variety of perspectives, from clinical to evolutionary, because they incorporate the geometry of organisms throughout the data analysis. The second edition of this book retains the emphasis on accessible explanations, and the copious illustrations and examples of the first, updating the treatment of both theory and practice. The second edition represents the current state-of-the-art and adds new examples and summarizes recent literature, as well as provides an overview of new software and step-by-step guidance through details of carrying out the analyses.

Modern Computational Approaches to Traditional Chinese Medicine

  • 1st Edition
  • July 13, 2012
  • Zhaohui Wu + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 2 8 2 7 2 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 8 5 1 9 - 4
Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM’s independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine.

Synthetic Biology, Part B

  • 1st Edition
  • Volume 498
  • June 9, 2011
  • Chris Voigt
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 5 1 2 0 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 5 1 2 1 - 5
Synthetic biology encompasses a variety of different approaches, methodologies and disciplines, and many different definitions exist. This Volume of Methods in Enzymology has been split into 2 Parts and covers topics such as Measuring and Engineering Central Dogma Processes, Mathematical and Computational Methods and Next-Generation DNA Assembly and Manipulation.

Matlab® in Bioscience and Biotechnology

  • 1st Edition
  • June 5, 2011
  • Leonid Burstein
  • English
  • Hardback
    9 7 8 - 1 - 9 0 7 5 6 8 - 0 4 - 6
  • eBook
    9 7 8 - 1 - 9 0 8 8 1 8 - 0 3 - 4
MATLAB® in bioscience and biotechnology presents an introductory Matlab course oriented towards various collaborative areas of biotechnology and bioscience. It concentrates on Matlab fundamentals and gives examples of its application to a wide range of current bioengineering problems in computational biology, molecular biology, bio-kinetics, biomedicine, bioinformatics, and biotechnology. In the last decade Matlab has been presented to students as the first computer program they learn. Consequently, many non-programmer students, engineers and scientists have come to regard it as user-friendly and highly convenient in solving their specific problems. Numerous books are available on programming in Matlab for engineers in general, irrespective of their specialization, or for those specializing in some specific area, but none have been designed especially for such a wide, interdisciplinary, and topical area as bioengineering. Thus, in this book, Matlab is presented with examples and applications to various school-level and advanced bioengineering problems - from growing populations of microorganisms and population dynamics, reaction kinetics and reagent concentrations, predator-prey models, mass-transfer and flow problems, to sequence analysis and sequence statistics.

Computer Methods, Part C

  • 1st Edition
  • Volume 487
  • December 24, 2010
  • Melvin I. Simon
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 1 2 7 0 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 1 2 7 1 - 1
The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with the 2 previous Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research.

Related subjects

Computational biology

Theoretical biology