"Bioinformatics of Human Proteomics" discusses the development of methods, techniques and applications in the field of protein bioinformatics, an important direction in bioinformatics. It collects contributions from expert researchers in order to provide a practical guide to this complex field of study. The book covers the protein interaction network, drug discovery and development, the relationship between translational medicine and bioinformatics, and advances in proteomic methods, while also demonstrating important bioinformatics tools and methods available today for protein analysis, interpretation and predication. It is intended for experts or senior researchers in the fields of clinical research-related biostatistics, bioinformatics, computational biology, medicine, statistics, system biology, molecular diagnostics, biomarkers, or drug discovery and development. Dr.Xiangdong Wang works as a distinguished professor of Respiratory Medicine at Fudan University, Shanghai, China. He serves as Director of Biomedical Research Center, Fudan University Zhongshan Hospital and adjunct professor of Clinical Bioinformatics at Lund University, Sweden. His main research is focused on the role of clinical bioinformatics in the development of disease-specific biomarkers and dynamic network biomarkers, the molecular mechanism of organ dysfunction and potential therapies.

This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.

Most photovoltaic (PV) installations utilise heavy conventional glass or polycarbonate panels, and even newly developed thin plastic or metal films for PV cell use may fracture during both construction and application. Textile fabrics, the most widespread flexible materials in everyday use, offer a solution to the need for lightweight, flexible solar PV generators. Solar Textiles: The Flexible Solution for Solar Power is about the incorporation and operation of solar cells on textile fabrics. The combination of textile manufacturing and solar PV cell technology opens up further avenues for both the textile and semiconductor industries. Thus, this book reflects the progressively increasing commercial interest in PV cell technology and the versatility that their integration in textiles provides. Discusses textiles as electrical substrates Explains the photovoltaic effect and associated parameters Offers special consideration of solar cells on textiles Compares fibres and fabrics and how to implement PV activity on a textile Describes manufacturing methods outside of semiconductor technology Includes applications open only to textiles This work is aimed at textile technologists, electronic engineers, solar technologists, civil engineers and designers in building fabrics and architecture.

Obesity Epidemic and the Environment: Latin America and the Caribbean Region provides a broad analysis of the macroeconomic impact of the obesity epidemic on environmental degradation in the LAC region. Case studies combine theory and practice to achieve critical conclusions (and subsequent policy implications), providing useful tools for those working on actual health, energy and environmental challenges. Written for researchers, policymakers, international organizations and practitioners in various fields, especially those in public health, health economics, energy and environmental economics and social sciences, this book thoroughly highlights the obesity epidemic in this region. In the LAC region, obesity has become a public health issue. The increase of this problem is related to the economic gains obtained from the process of liberalization and privatization, the increase of foreign investment, and infrastructure investments.

The novel coronavirus 2019 (COVID-19) has caused a serious global pandemic in just one year. Nearly every country and territory in the world has been affected by the virus. The virulence and infection rate of the virus are profound, and has required extreme social distancing measures across the globe in order to prevent overwhelming the healthcare services and hospitals. COVID-19 appears to have the greatest effects on elderly individuals and those who have co-morbid diseases, such as diabetes and obesity. As the cases and death rate remain high, there are justified fears of this virus remaining for several months or years to come. To address this, a rapid and unprecedented worldwide mobilization effort has begun to identify effective treatments and develop vaccines. As these begin to be deployed and administered across the globe, many now feel the virus will be brought under control and lives will eventually return to normal. This new volume will increase readers' understanding of the ongoing COVID-19 pandemic through a series of chapters that address these concerns. Leading experts will discuss new treatment approaches, vaccine development, mental health aspects of the pandemic, and convey the results of survey studies. The book will be an excellent resource for researchers studying virology, metabolic diseases, respiratory disorders, and clinical scientists, physicians, drug companies, and healthcare services and workers.

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis.

Detection canines have been utilized throughout the world for over a century, and while numerous attempts have been made to replicate the canine's ability to detect substances by mechanical means, none has been as successful. The olfactory system is a highly intricate and sophisticated design for chemical sensing, and the olfactory capacity of many animals, including canines, is considered unmatched by machine due to not only their great sensitivity and superior selectivity but also their trainability and mobility. These unique features have led to the use of such animals as "whole-animal" biosensors. Amplifying the benefits and diminishing the limitations of detection canines' interdisciplinary research is crucial to understanding canine olfaction and detection and enhancing this powerful and complex detector. The past 50 years have produced vast advancements in animal behavior/training technology to develop canines into more proficient and reliable sensors, while scientific research has provided tremendous support to help practitioners better understand how to utilize this powerful sensor. This book assembles a diverse group of authors with expertise in a variety of fields relating to detection canines and the chemical sensing industry, including both research and operational perspectives on detection canines. It illustrates how science enhances our understanding of how canines are employed for solving some of the world's leading detection challenges.

This book is a collection of full papers based on the peer-reviewed submissions accepted for the ERIDOB 2020 conference (which was cancelled due to COVID-19). ERIDOB brings together researchers in Biology Education from around the world to share and discuss their research work and results. It is the only major international conference on biology education research, and all the papers therefore are written by international researchers from across Europe (and beyond), which present the findings from a range of contemporary biology education research projects. They are all entirely new papers describing new research in the field. The papers are peer-reviewed by experienced international researchers selected by the ERIDOB Academic Committee. The papers reflect the ERIDOB conference strands by covering topics on: Socioscientific issues, Nature of Science and scientific thinking Teaching and learning in biology Perceptions of biology and biology education Textbook analysis Outdoor and environmental education By providing a collection of new research findings from many countries, this book is a great resource for researchers and practitioners such as school, college and university biology teachers' around the world. It is useful for training biology teachers and therefore valuable to teacher training institutions.

Stem cell therapy is a fast-growing field of medicine with remarkable prospects in a broad spectrum of diseases. Stem Cell Therapy: Practical Considerations addresses the biological properties of stem cells, mechanisms of action; as well as actual therapeutic decisions such as cell type, source, dose, manipulation, and route of injection. After discussing all this data, the book will illustrate how to travel through the idea from abstract question to laboratory experiment, animal experiment and then on to design a clinical trial throughout all its phases. Written for scientists and postgraduate students in the field of stem cell research and therapy. The authors will cover practical therapeutic issues they have long experienced in the field.

This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.

This third edition provides new and updated chapters detailing a complete introduction to common and emerging procedures for characterizing the interactions of individual proteins with their natural ligands, drugs or other binding partners. Chapters detail natural substrates, potential drug leads, quantitative understanding of the mechanism of interaction, and different techniques. 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Protein Ligand Interactions: Methods and Applications, Third Edition serves as an ideal guide for researchers new to the field of biophysical characterization of protein interactions.

This book's aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie-Simpson numerical algorithm, models represented by nonlinear reaction-diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful.

Lignin is a large phenolic polymer found in the cell wall of most land plants. Volume ABR104, provides in-depth reviews on the most recent discoveries in the field. It revisits the lignin paradigm and reviews the occurrence of unconventional lignin precursors that are derived from both the monolignol biosynthetic pathway, and from other polyphenolic biosynthetic pathways. The volume encompasses the most recent data about the regulation of lignin biosynthesis in a environment of polysaccharides, the importance of oxidases, the pivotal role of feruloylation and coumaroylation of the cell wall both in the lignified stem and in the cereal grain. The volume gives an important part to the transcriptional regulation at different scales. At last, vibrational and fluorescence microscopy methods to characterize the lignin-decorated cell wall as well the most recent bioengineering approaches towards lignin modification are reviewed.

The papers in this volume comprise the refereed proceedings of the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), in Beijing, China, 2008. The conference on the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA 2008) is cooperatively sponsored and organized by the China Agricultural University (CAU), the National Engineering Research Center for Information Technology in Agriculture (NERCITA), the Chinese Society of Agricultural Engineering (CSAE) , International Federation for Information Processing (IFIP), Beijing Society for Information Technology in Agriculture, China and Beijing Research Center for Agro-products Test and Farmland Inspection, China. The related departments of China's central government bodies like: Ministry of Science and Technology, Ministry of Industry and Information Technology, Ministry of Education and the Beijing Municipal Natural Science Foundation, Beijing Academy of Agricultural and Forestry Sciences, etc. have greatly contributed and supported to this event. The conference is as good platform to bring together scientists and researchers, agronomists and information engineers, extension servers and entrepreneurs from a range of disciplines concerned with impact of Information technology for sustainable agriculture and rural development. The representatives of all the supporting organizations, a group of invited speakers, experts and researchers from more than 15 countries, such as: the Netherlands, Spain, Portugal, Mexico, Germany, Greece, Australia, Estonia, Japan, Korea, India, Iran, Nigeria, Brazil, China, etc.

The next generation of nursing leadership needs in-depth exposure to the real world of health policy, its culture and history, including understanding what historical barriers and professional opposition exists to nursing functioning of its training and expertise. Shaping Nursing Healthcare Policy: A View from the Inside directly addresses the recommendations of the Institute of Medicine landmark reports on the Future of Nursing. This important work brings to life the practical realties of advanced practice nursing's maturation and related social change, rather than relying on excessively abstract and theoretical opinions.

This book provides a comprehensive and critical overview of carbon materials in terms of molecular structure, intermolecular relationships, bulk and surface properties, and their behavior in current and emerging applications. It also presents advances in carbon research and development.

Advances in Agronomy, Volume 175, the latest release in this leading reference on agronomy, contains a variety of updates and highlights new advances in the field. Each chapter is written by an international board of authors.

This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results. Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.

Health Effects of the Fukushima Nuclear Disaster provides a multidisciplinary retrospective on the health consequences on the population the first decade after the Fukushima nuclear disaster. Sections 1 and 2 of the book begins with an introduction and an overview of the developments surrounding the Fukushima accident. Section 3 discusses topics such as the physical health impact of radiation exposure as well as diseases that resulted from long-term evacuation. Section 4 examines the psychological factors and the social impact of the disaster and how their combined influence affected the physical and mental wellness of the population. The book concludes with Section 5 which covers the mitigation strategy for treatment and care of psychological health issues resulting from the disaster. The book contains expert contributions from those who have first-hand experience in the recovery efforts and are still actively researching the impact of the disaster. Health Effects of the Fukushima Nuclear Disaster provides readers with a coherent, multi-dimensional narrative about the physical, psychosocial, and psychological aspects of the decade-long aftermath of the Fukushima nuclear disaster.

The field of electromagnetic sensitivity is the new epidemic of the 21st century, and can cause disease of the automatic nerve system in any part of the body. This is as a result of chemical sensitivity, in which over 80,000 chemicals are involved, resulting in innumerable combinations. A cursory understanding of the combinations can help clinicians partially understand the associated problems and thus help in the diagnosis and treatment of electromagnetic sensitivities. But a basic understanding of environmentally induced illness and healing must first be understood by the clinicians before diseases occur such as cardiac arrhythmia, muscle spasms, and nerve pain. Key Features: Describes how an understanding of the vast combinations of electrical and chemical sensitivities will help in the diagnosis and treatment of electromagnetic sensitivities Reveals the complexity and multi-faceted presentation often seen in chemical sensitivity and chronic degenerative disease cases Provides information backed up by rigorous scientific data including hundreds of tables and figures as online resources Features a Dedication to Robert Becker, MD, an orthopedic surgeon who was one of the first clinicians to recognize the significance of EMF in medicine and surgery, and also to his assistant Andrew Marino, PhD, who helped develop the basic science of orthopedic electromagnet healing

The Feynman Lectures on Gravitation are based on notes prepared during a course on gravitational physics that Richard Feynman taught at Caltech during the 1962-63 academic year. For several years prior to these lectures, Feynman thought long and hard about the fundamental problems in gravitational physics, yet he published very little. These lectures represent a useful record of his viewpoints and some of his insights into gravity and its application to cosmology, superstars, wormholes, and gravitational waves at that particular time. The lectures also contain a number of fascinating digressions and asides on the foundations of physics and other issues.Characteristically, Feynman took an untraditional non-geometric approach to gravitation and general relativity based on the underlying quantum aspects of gravity. Hence, these lectures contain a unique pedagogical account of the development of Einstein's general theory of relativity as the inevitable result of the demand for a self-consistent theory of a massless spin-2 field (the graviton) coupled to the energy-momentum tensor of matter. This approach also demonstrates the intimate and fundamental connection between gauge invariance and the principle of equivalence.

This book explores the original discovery of lithium and its development from a mineral to various applications that culminate in its present use in the electromotive industry

This book highlights the multiple ways of telling stories of radiation exposure; they include stories about Japan, Australia, the United States, the Canadian Arctic, and more, and they probe the framing of major incidents such as Three Mile Island, Chernobyl, and Fukushima. All the chapters in this book are written by authors who participated in our work at Oregon State University and have benefited from hearing not only from scientists but also from those whose lives were directly affected by the history of radiation exposure. The question 'What is at stake when researching and narrating the histories of radiation exposure?' is discussed, but the book does not reinforce existing frameworks, such as legal decisions or government policies, but rather highlights what narrative framings accomplish and commit by scrutinizing them with rigorous research, varied approaches, and, above all, listening to those whose lives were most affected by exposure. Previously published in Journal of the History of Biology Volume 54, issue 1, April 2021

The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.