This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results are presented on topics like pattern recognition of probability distribution of amino acids, somitogenesis through reaction-diffusion models, mathematical modeling of infectious diseases, and many others. Experts, scientific practitioners, graduate students and professionals working in various interdisciplinary fields will find this book a rich resource for research and applications alike.

As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.

This book provides essential insights into designing a localized DNA circuit to promote the rate of desired hybridization reactions over undesired leak reactions in the bulk solution. The area of dynamic DNA nanotechnology, or DNA circuits, holds great promise as a highly programmable toolbox that can be used in various applications, including molecular computing and biomolecular detection. However, a key bottleneck is the recurring issue of circuit leakage. The assembly of the localized circuit is dynamically driven by the recognition of biomolecules - a different approach from most methods, which are based on a static DNA origami assembly. The design guidelines for individual reaction modules presented here, which focus on minimizing circuit leakage, are established through NUPACK simulation and tested experimentally - which will be useful for researchers interested in adapting the concepts for other contexts. In the closing section, the design concepts are successfully applied to the biomolecular sensing of a broad range of targets including the single nucleotide mutations, proteins, and cell surface receptors.

Cell Surface GRP78, a New Paradigm in Signal Transduction Biology presents a new paradigm that has emerged in the past decade with the discovery that various intracellular proteins may acquire new functions as cell surface receptors. Two very prominent examples are ATP synthase and GRP78. While the role of cell surface ATP synthase has been reviewed in various books, this book directs its attention to the story of cell surface GRP78.

Human Gut Microbiota in Health and Disease: From Pathogenesis to Therapy is a comprehensive discussion of all the aspects associated with gut microbiota early colonization, its development and maintenance, and its symbiotic relationship with the host to promote health. Chapters illustrate the complex mechanisms and metabolic signalling pathways related to how the gut microbiota maintain proper regulation of glucose, lipid and energy homeostasis and immune response, while mediating inflammatory processes involved in the etiology of many chronic disease conditions. Details are provided on the primary etiological factors of chronic disease, the effects of gut dysbiosis and its associated disease conditions, while providing an overview of therapeutic strategies involving dietary fiber and prebiotics, fecal microbiota transplantation therapy and probiotics. Throughout the chapters, a comprehensive review of peer-reviewed animal and human studies is provided as evidence related to the history of human exposure, safety, tolerance, toxicity, nomenclature, and clinical efficacy of utilizing prebiotic fructans, s, as well as probiotic intervention, and dietary modification in the prevention and intervention of chronic disease conditions. With common use today of pharmaceutical medicine in treating symptoms, and frequent overuse of antibiotics in chronic disease within mainstream medical practice, understanding the etiological mechanisms of dysbiosis-induced chronic disease, and natural approaches that offer prevention and potential cures for these diseases is of vital importance to overall human health.

The Microbiology of Central Nervous System Infections, Volume 3, discusses modern approaches to the diagnosis, treatment and prophylaxis of central nervous system (CNS) infections. This new release is divided into five sections that cover treatment strategies, imaging, molecular diagnosis, management of CNS infections with metal nanoparticles, and prophylaxis of CNS infections, including bacterial, viral and fungal infections. The last section contains a chapter on transmissible spongiform encephalopathies and modern trends in its diagnosis and treatment. University teachers, medical practitioners, graduate and postgraduate students, researchers in microbiology, and those in the pharmaceutical and laboratory diagnostic industries will find the book very important.

Handbook of Thermoset-Based Biocomposites is a three-volume set that provides a comprehensive review on the recent developments, characterization, and applications of natural fiber-reinforced biocomposites. An in-depth look at hybrid composites, nanofillers, and natural fiber reinforcement is divided into three books on polyester, vinyl ester, and epoxy composites. The volumes explore the widespread applications of natural fiber-reinforced polyester, vinyl ester, and epoxy composites ranging from the aerospace sector, automotive parts, construction and building materials, sports equipment, and household appliances. Investigating the physio-chemical, mechanical, and thermal properties of these composites, the volumes also consider the influence of hybridization, fibre architecture, and fibre-ply orientation. This three-volume set serves as a useful reference for researchers, graduate students, and engineers in the field of composites.

Viral Proteases and Their Inhibitors provides a thorough examination of viral proteases from their molecular components, to therapeutic applications. As information on three dimensional structures and biological functions of these viral proteases become known, unexpected protein folds and unique mechanisms of proteolysis are realized. This book investigates how this facilitates the design and development of potent antiviral agents used against life-threatening viruses. Users will find descriptions of each virus that detail the structure and function of viral proteases, discuss the design and development of inhibitors, and analyze the structure-activity relationships of inhibitors. This book is ideal biochemists, virologists and those working on antiviral agents.

Rare and Interesting Cases in Pulmonary Medicine provides a look into the uncommon diseases encountered in the field of pulmonary medicine. Using a case-based approach, the book provides clinical scenarios that include relevant accompanying radiology and pathology. Also included are frequently asked questions for each area, as well as a diagnosis and summary, presenting the reader with the most high yield information on each topic. Appropriate for medical students, residents, fellows, and physicians interested in pulmonary medicine, the case-based approach to each topic allows accessibility to the uncommon diseases of the field while also highlighting high yield and important points.

Climb a mountain and experience the landscape. Try to grasp its holistic nature. Do not climb alone, but with others and share your experience. Be sure the ways of seeing the landscape will be very different. We experience the landscape with all senses as a complex, dynamic and hierarchically structured whole. The landscape is tangible out there and simultaneously a mental reality. Several perspectives are obvious because of language, culture and background. Many disciplines developed to study the landscape focussing on specific interest groups and applications. Gradually the holistic way of seeing became lost. This book explores the different perspectives on the landscape in relation to its holistic nature. We start from its multiple linguistic meanings and a comprehensive overview of the development of landscape research from its geographical origins to the wide variety of today's specialised disciplines and interest groups. Understanding the different perspectives on the landscapes and bringing them together is essential in transdisciplinary approaches where the landscape is the integrating concept.

Cell Polarity and Morphogenesis, the latest volume in the Methods in Cell Biology series, looks at cell polarity and morphogenesis. Edited by leaders in the field, this volume provides proven, state-of-art techniques, along with relevant historical background and theory, to aid researchers in efficient design and effective implementation of experimental methodologies.

This textbook provides an accessible introduction to physics for undergraduate students in the life sciences, including those majoring in all branches of biology, biochemistry, and psychology and students working on pre-professional programs such as pre-medical, pre-dental, and physical therapy. The text is geared for the algebra-based physics course, often named College Physics in the United States. The order of topics studied are such that most of the problems in the text can be solved with the methods of Statics or Dynamics. That is, they require a free body diagram, the application of Newton’s Laws, and any necessary kinematics. Constructing the text with a standardized problem-solving methodology, simplifies this aspect of the course and allows students to focus on the application of physics to the study of biological systems. Along the way, students apply these techniques to find the tension in a tendon, the sedimentation rate of red blood cells in haemoglobin, the torques and forces on a bacterium employing a flagellum to propel itself through a viscous fluid, and the terminal velocity of a protein moving in a Gel Electrophoresis device. This is part one of a two-volume set; volume 2 introduces students to the conserved-quantities and applies these problem-solving techniques to topics in Thermodynamics, Electrical Circuits, Optics, and Atomic and Nuclear Physics always with continued focus on biological applications.

This books provides up-to-date reviews on current advances of the role of HSP in veterinary medicine and research. Key basic and clinical research laboratories from major universities, veterinary hospitals and pharmaceutical companies around the world have contributed chapters that review present research activity and importantly project this field into the future. For easy readability, the book is sub divided into sections on HSP in the following aspects of Veterinary Medicine, including, I - Domestic Animals, II - Poultry, III - Aquatic and IV - Parasites. The book is a must read for heat shock protein researchers in general and specifically those involved in clinical and research in veterinary medicine.

This book presents the theoretical foundations of Systems Biology, as well as its application in studies on human hosts, pathogens and associated diseases. This book presents several chapters written by renowned experts in the field. Some topics discussed in depth in this book include: computational modeling of multiresistant bacteria, systems biology of cancer, systems immunology, networks in systems biology.

Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of artificial intelligence in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. This book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues associated with processing patient data. It provides insights into real-world scenarios of the deployment, application, management, and associated benefits of XAI in MDSS. The book outlines the frameworks for MDSS and explores the applicability, prospects, and legal implications of XAI for MDSS. Applications of XAI in MDSS such as XAI for robot-assisted surgeries, medical image segmentation, cancer diagnostics, and diabetes mellitus and heart disease prediction are explored.

This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

Technology maturity: What is it, and why is it important? For more than ten years, the Government Accountability Office (GAO) has criticized federal agencies for a history of cost and schedule overruns on a significant portion of their procurement programs. GAO has repeatedly reported that the use of immature technologies in programs is a primary cause for these overruns. In spite of these repeated reports, the problems in government procurement have not improved. In fact, recent reports indicate that the problems are getting worse. One cause of this worsening situation might be that, while GAO identified lack of technology maturity as a problem, they did not tell how to measure technology maturity, or conversely, its lack. This groundbreaking work attempts to fill this gap by examining the current state of technology maturity measurement, pointing out strengths and weaknesses of available measures, and proposing a complete technology maturity assessment as a potential solution. The book also includes a discussion of risk during technology development.

Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.

This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.

Many breakthroughs in experimental devices, advanced software, as well as analytical methods for systems biology development have helped shape the way we study DNA, RNA and proteins, on the genomic, transcriptional, translational and posttranslational level. This book highlights the comprehensive topics that encompass systems biology with enormous progress in the development of genome sequencing, proteomic and metabolomic methods in designing and understanding biological systems. Topics covered in this book include fundamentals of modelling networks, circuits and pathways, spatial and multi cellular systems, image-driven systems biology, evolution, noise and decision-making in single cells, systems biology of disease and immunology, and personalized medicine. Special attention is paid to epigenomics, in particular environmental conditions that impact genetic background. The breadth of exciting new data towards discovering fundamental principles and direct application of epigenetics in agriculture is also described. The chapter "Deciphering the Universe of RNA Structures and Trans RNA-RNA Interactions of Transcriptomes in vivo - from Experimental Protocols to Computational Analyses" is available open access under a CC BY 4.0 license via link.springer.com.

In this work we plan to revise the main techniques for enumeration algorithms and to show four examples of enumeration algorithms that can be applied to efficiently deal with some biological problems modelled by using biological networks: enumerating central and peripheral nodes of a network, enumerating stories, enumerating paths or cycles, and enumerating bubbles. Notice that the corresponding computational problems we define are of more general interest and our results hold in the case of arbitrary graphs. Enumerating all the most and less central vertices in a network according to their eccentricity is an example of an enumeration problem whose solutions are polynomial and can be listed in polynomial time, very often in linear or almost linear time in practice. Enumerating stories, i.e. all maximal directed acyclic subgraphs of a graph G whose sources and targets belong to a predefined subset of the vertices, is on the other hand an example of an enumeration problem with an exponential number of solutions, that can be solved by using a non trivial brute-force approach. Given a metabolic network, each individual story should explain how some interesting metabolites are derived from some others through a chain of reactions, by keeping all alternative pathways between sources and targets. Enumerating cycles or paths in an undirected graph, such as a protein-protein interaction undirected network, is an example of an enumeration problem in which all the solutions can be listed through an optimal algorithm, i.e. the time required to list all the solutions is dominated by the time to read the graph plus the time required to print all of them. By extending this result to directed graphs, it would be possible to deal more efficiently with feedback loops and signed paths analysis in signed or interaction directed graphs, such as gene regulatory networks. Finally, enumerating mouths or bubbles with a source s in a directed graph, that is enumerating all the two vertex-disjoint directed paths between the source s and all the possible targets, is an example of an enumeration problem in which all the solutions can be listed through a linear delay algorithm, meaning that the delay between any two consecutive solutions is linear, by turning the problem into a constrained cycle enumeration problem. Such patterns, in a de Bruijn graph representation of the reads obtained by sequencing, are related to polymorphisms in DNA- or RNA-seq data.