Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Overflow Metabolism
Overflow Metabolism: From Yeast to Marathon Runners provides an overview of overflow metabolism, reviewing the major phenomenological aspects as observed in different organisms, followed by a critical analysis of proposed theories to explain overflow metabolism. In our ideal view of metabolism, we think of catabolism and anabolism. In catabolism nutrients break down to carbon dioxide and water to generate biochemical energy. In anabolism nutrients break down to generate building blocks for cell biosynthesis. Yet, when cells are pushed to high metabolic rates they exhibit incomplete catabolism of nutrients, with a lower energy yield and excretion of metabolic byproducts. This phenomenon, char...
The Spice of Life
Modern nutrition is all about calories, fats, proteins, and carbohydrates. What about our DNA? To make DNA we need the amino acids aspartate, glutamine and glycine. That is covered by the recommended daily intake of protein. But we need one more ingredient: Formate. What is formate? Where it comes from? What if my formate intake is low? What if I eat too much formate? This book provides the answer to these questions.
Rethinking Cancer
Leading scientists argue for a new paradigm for cancer research, proposing a complex systems view of cancer supported by empirical evidence. Current consensus in cancer research explains cancer as a disease caused by specific mutations in certain genes. After dramatic advances in genome sequencing, never before have we known so much about the individual cancer cell--and yet never before has it been so unclear what to do with this knowledge. In this volume, leading researchers argue for a new theory framework for understanding and treating cancer. The contributors propose a complex systems view of cancer, presenting conceptual building blocks for a new research paradigm supported by empirical...
Network Analysis
‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.
Biological Networks
This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex system approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.
Biological Network Analysis
Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource. Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes Includes a discussion of various graph theoretic and data analytics approaches
Neuroproteomics
In this, the post-genomic age, our knowledge of biological systems continues to expand and progress. As the research becomes more focused, so too does the data. Genomic research progresses to proteomics and brings us to a deeper understanding of the behavior and function of protein clusters. And now proteomics gives way to neuroproteomics as we beg
MUSCLE PHYSIOLOGY
Embark on a captivating journey into the dynamic world of Muscle Physiology with our specialized guide. Tailored for students, researchers, and fitness enthusiasts, "Muscle Physiology" is a comprehensive book that unravels the intricacies of muscular systems. Enriched with in-depth insights, practical knowledge, and extensive Multiple-Choice Question (MCQ) practice, this guide is designed to deepen your understanding of muscle function, performance, and health. Key Features: Mechanisms of Muscle Contraction: Delve into the molecular and cellular processes that govern muscle contraction. "Muscle Physiology" provides a thorough exploration of the mechanisms, including the role of actin, myosin...
Complex Networks
This volume is devoted to the applications of techniques from statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that form this book are aimed at students and newcomers to the field, and will also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability.
The Nature of Complex Networks
The Nature of Complex Networks provides a systematic introduction to the statistical mechanics of complex networks and the different theoretical achievements in the field that are now finding strands in common.The book presents a wide range of networks and the processes taking place on them, including recently developed directions, methods, and techniques. It assumes a statistical mechanics view of random networks based on the concept of statistical ensembles but also features the approaches and methodsof modern random graph theory and their overlaps with statistical physics.This book will appeal to graduate students and researchers in the fields of statistical physics, complex systems, graph theory, applied mathematics, and theoretical epidemiology.
