In recent years, systems biology seems to have encountered insurmountable obstacles. Precision medicine faces the problem of integration in disease regulation, despite the establishment of biomarker systems and the continuous discovery of new targeted drugs. Towards Holistic Medicine explores the development of modern medicine and the future medical model in the broader perspective of Chinese and Western medicine, biology, and even the methodological evolution of natural science in recent centuries. The book discusses how modern medicine will move past systems biology and precision medicine and toward holistic medicine.

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.

"RNA Interference: Application to Drug Discovery and Challenges to Pharmaceutical Development provides a general overview of this rapidly emerging field, with a strong emphasis on issues and aspects that are important to a drug development team. The first part covers more general background of RNA interference and its application in drug discovery. In the second part, the book addresses siRNA (small interfering RNA), a pharmaceutically potent form, and its use and delivery in therapeutics along with manufacturing and delivery aspects"--Provided by publisher.

Metamorphosis has always been one of biology's greatest wonders and toughest riddles. To emerge a butterfly, a caterpillar dissolves inside its chrysalis and builds a brand new brain, wings and legs. Why all this destruction and remodelling? Why all this wasted energy and time?

Oren Harman beautifully unfurls the untold story of metamorphosis across two millennia, asking why it has obsessed and inspired us so profoundly. Along the way we meet poets, artists, philosophers, and a cast of scientists as colourful as the animals themselves: whether Aristotle determining cucumbers had souls, Sigmund Freud searching in vain for eel testicles, or a Japanese zoologist singing karaoke to a baby jellyfish.

Taking us on an exhilarating journey through the creatures that metamorphose - a staggering three-quarters of all animal species - from starfish reproducing in reverse in ocean depths, to poison dart frogs on steaming rainforest canopies, to human adolescents struggling to control themselves, Metamorphosis is a new classic of natural history: a book that, by explaining a mystery of nature, causes us to relearn ourselves.

Exam Board: Edexcel Level: A level Subject: Science / Biology First teaching: September 2015 First exams: June 2017 An ActiveBook is included with every Student Book, giving your students easy online access to the content in the Student Book. They can make it their own with notes, highlights and links to their wider reading. Perfect for supporting work and revision activities. Student Book 1 supports a standalone AS course and provides the first year of a two-year A level course; Student Books 1 and 2 together support the full A level course. A cumulative approach to learning constantly builds on what has previously been taught. The chapter openers highlight prior learning requirements and link to future learning. The required maths skills are highlighted at the start of each chapter providing opportunities for students to check understanding and remedy gaps. Bigger spreads require students to read real-life material that's relevant to the course and use knowledge in new contexts. Accompanying questions require students to analyse how scientists write, think critically and consider issues. Preparing for your exams sections highlight the key differences between preparing for an AS and full A level exam. Practice question spreads provide opportunities for students to regularly check their understanding using questions written in the style of the new exams from day one.

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers:

General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms

Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding

Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data

Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies

Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions

Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. "Data Mining for Systems Biology: Methods and Protocols," surveys and demonstrates the science and technology of converting an unprecedented data deluge to new knowledge and biological insight. The volume is organized around two overlapping themes, network inference and functional inference. Written in the highly successful "Methods in Molecular Biology " series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, "Data Mining for Systems Biology: Methods and Protocols" also seeks to aid researchers in the further development of databases, mining and visualization systems that are central to the paradigm altering discoveries being made with increasing frequency."

For CXC students who want to prepare fully for their exams, CXC Study Guides are a series of titles that provide students with additional support to pass the exam. CXC Study Guides are a unique product that have been written by experienced examiners at CXC and carry the board's exclusive branding.

This book provides a multidisciplinary overview to the application of high order derivative spectrophotometry and Electron Spin Resonance (ESR) spectroscopy in biology and ecology. The characteristics of the principle methods as well as the generation of reliable spectra are discussed in general terms allowing the reader to gain an idea of these methods' potentials. Furthermore the authors give an extended overview to the spectroscopic and spectro-photometric analysis of specific biological materials. This volume is a well condensed description of an analytical method and a clear review to its application in biology and related fields and an essential tool for researchers who are new in the field of spectroscopic methods and their applications in the life sciences.

A short but engaging exploration of the brain. In Brains, scientist Leif Østergaard explores our most complicated and mysterious organ. From the dissection of Einstein's brain to research on how to map networks of neurons, Østergaard deconstructs the different parts of the brain and provides an engaging overview of its essential functions. He explains how we store information in the synapses of neural networks and how these networks carry commands to our muscles and internal organs and receive sensory input from our skin, eyes, ears, nose, and mouth. Delving into the subconscious, we learn what our brains are doing while we daydream and how neurotransmitters play a role in addiction. In this fascinating book, Østergaard reveals how this enigmatic organ is even more complex than we thought it was. In Reflections, a series copublished with Denmark's Aarhus University Press, scholars deliver 60-page reflections on key concepts. These books present unique insights on a wide range of topics that entertain and enlighten readers with exciting discoveries and new perspectives.

This book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it illustrates real-world applications in numerous scientific disciplines and includes references to the latest software solutions available for compositional data analysis, thus providing a valuable and up-to-date guide for researchers and practitioners working with compositional data. Featuring selected contributions by leading experts in the field, the book is dedicated to Vera Pawlowsky-Glahn on the occasion of her 70th birthday.

The Psychology of Death Investigations outlines definitively how behavioral evidence can often provide the necessary components and "missing pieces" to complement physical evidence as an essential tool for incident reconstruction. In order to determine the direction of an investigation and to prioritize leads, if necessary, death investigators must establish the manner of a death: natural, accident, homicide or suicide. The most overlooked aspect of death investigation is the psychological dimension, which can provide unique leads, correct false assumptions, enhance investigative awareness, and solve cases in surprising ways. In an estimated 10-20% of cases, the manner of death cannot be determined, or worse, has been erroneously categorized. Since many jurisdictions can't afford behavioral consultants, this book has been written to provide practical information for a basic psychological analysis. If the circumstances surrounding a death are equivocal, psychological consultants can compile information retrospectively about a deceased person's mental state and possible motive to assist with unravelling ambiguity about the manner of death. This is the primary function of a psychological autopsy, and, as such, this is the first book of its kind dedicated solely to the topic. In the event that the manner of death is determined to be a homicide, behavioral profiling can help to focus the potential pool of suspects. Professionals and students alike will benefit from the exercise of cognitive awareness and the application of psychological logic presented. Psychologists, medical examiners, coroners, attorneys, fraud examiners, law enforcement personnel, death and homicide investigators, and students enrolled in criminal profiling, forensic psychology, and criminal justice programs will find this text to be a compelling and insightful reference to add to their professional toolkit.

Practical Analysis and Reconstruction of Shooting Incidents, Second Edition presents a holistic approach to shooting incident analysis and reconstruction, covering the entire spectrum of related sub-disciplines of forensic science. The book reviews basic firearm design and function, ammunition components, and terminology, explaining what constitutes pertinent evidence and appropriate results relative to autopsies, forensic laboratory analysis, and reenactments. The second edition features numerous additions including: Four new chapters Complete and extensive updates to all 16 original chapters Three case studies contributed by renowned professionals in the field New and revised exercises at the ends of chapters, with answers provided An expanded glossary of terminology Nearly 340 figures and illustrations, with several in full color New and updated references and suggested readings Appendices containing relevant terminology, checklists, and other resources The book details the mathematics of shooting reconstruction in clear, precise language that allows readers-both those with and without extensive science backgrounds-to apply a logical thought process to the evaluation of shooting scene evidence in order to establish the probable related events to the shooting incident. This new edition provides up-to-date information for field investigators to recognize, preserve, document, and interpret the physical evidence typically found after shooting incidents. In addition to the hundreds of illustrations, the book uses both case studies and step-by-step outlines to clearly describe the required analytical processes involved in reconstructing and interpreting shooting incident scenes.

Mathematical Models of Biological Systems provides a practical introduction to basic mathematical modelling methodology and analysis. It covers a variety of biological applications and uses these topics in turn to highlight key components in the art of modelling. Its primary aim is to give students the tools to translate simple, real-world biological problems into rigorous mathematical models. A secondary aim is to teach the reader how to critically assess the modelling components in the primary life science literature. The book covers deterministic as well as stochastic dynamics, continuous-time as well as discrete-time dynamics, partial differential equations, dimensional analysis, and curve fitting/parameter estimation. It contains numerous case studies, graded from elementary examples to more complicated problems, as well as a general treatment of good modelling practice. Although the book assumes a basic background in mathematics, specifically beginning calculus and elementary statistics, all requisite material is included in a series of appendices.

This is an agenda-setting and high-profile book that presents an authoritative and cutting-edge analysis of nanoscience and technology. The Oxford Handbook of Nanoscience and Technology provides a comprehensive and accessible overview of the major achievements in different aspects of this field.
The Handbook comprises 3 volumes, structured thematically, with 25 chapters each. Volume I presents fundamental issues of basic physics, chemistry, biochemistry, tribology etc. of nanomaterials. Volume II focuses on the progress made with host of nanomaterials including DNA and protein based nanostructures. Volume III highlights engineering and related developments, with a focus on frontal application areas. All chapters are written by noted international experts in the field. The book should be useful for final year undergraduates specializing in the field. It should prove indispensable to graduate students, and serious researchers from academic and industrial sectors working in the field of Nanoscience and Technology from different disciplines including Physics, Chemistry, Biochemistry, Biotechnology, Medicine, Materials Science, Metallurgy, Ceramics, Information Technology as well as Electrical, Electronic and Computational Engineering.

Although nanotechnology has revolutionized fields such as medicine, genetics, biology, bioengineering, mechanics, and chemistry, its increasing application in the food industry is relatively recent in comparison. Nanotechnology is being used to discover new methods for creating new flavors, extending food shelf life, and improving food protection and nutritional value. Nanotechnology in the food industry is now being explored for intelligent nutrient delivery systems, "smart" foods, contaminant detection nanodevices and nanosensors, advanced food processing, antimicrobial chemicals, encapsulation, and green nanomaterials. This new three-volume set, Nanotechnology Horizons in Food Process Engineering, addresses a multitude of topical issues and new developments in the field. Volume 1 focuses food preservation, food packaging and sustainable agriculture, while Volume 2 looks at nanotechnology in food process engineering, applications of biomaterials in food products, and the use of modern nanotechnology for human health. The third volume explores the newest trends in nanotechnology for food applications and their application for improving food delivery systems. Together, these three volumes provide a comprehensive and in-depth look at the emerging status of nanotechnology in the food processing industry, explaining the benefits and drawbacks of various methodologies that will aid in the improvement and development of food product sourcing and food hygiene monitoring methods. Volume 3: Trends, Nanomaterials and Food Delivery provides an overview of the current trends in nanotechnology for food applications and food delivery systems. Topics include a collection of chapters on diverse topics, including the stability of nanoparticles in food, nanobiosensing for the detection of food contaminants, nanotechnology applications in agriculture, the role of nanotechnology in nutrient delivery, how nanotechnology is applied in dairy products, biofunctional magnetic nanoparticles in food safety, the development of nutraceuticals using nanotechnological tools, and more.

This book provides a comprehensive and up-to-date coverage of the relationship between drug metabolism enzymes and transporters on drug toxicity, along with methods to investigate their role on adverse drug reactions. Unites both the metabolism and transporter components of drug toxicity two aspects not normally connected and the latter often neglected Familiarizes readers with the mechanism and species differences in drug metabolizing enzymes and transporters Discusses promising approaches to accurately predict human drug toxicity via the incorporation of human drug metabolism in toxicity evaluation

Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and on the computer. As a beginning text in modeling, readers will learn to value the approach and apply competencies in other settings. Included case studies focus on building a model to solve a particular biological problem from concept and translation into a mathematical form, to validating the parameters, testing the quality of the model and finally interpreting the outcome in biological terms. The book also shows how particular mathematical approaches are adapted to a variety of problems at multiple biological scales. Finally, the labs bring the biological problems and the practical issues of collecting data to actually test the model and/or adapting the mathematics to the data that can be collected.