الصفحة 7
الصفحة 7
Molecular Pathology of Gynecologic Cancer
This book focuses on putting successful molecular strategies into practice for the treatment of gynecologic cancer. The volume begins with an explication of the editors’ hypothesis that cancer is mainly a disease of the cell cycle, based on the deregulation of the physiological process of cell reproduction. The following eleven chapters focus on specific issues in gynecologic cancers, including: a proposed model of ovarian serous carcinogenesis, molecular markers for ovarian epithelial cancer, an overview of the pathology of endometrial cancer, molecular genetic aspects of endometrial carcinoma and cervical cancer, a natural history of Human Papilloma Virus (HPV) as it relates to cervical cancer, and hereditary issues in gynecologic cancers. The concluding chapter proposes and outlines a holistic approach to the treatment of female cancer patients.
Molecular Mechanisms of Plant and Microbe Coexistence
Molecular Mechanisms of Plant and Microbe Coexistence presents studies on the complex and manifold interactions of plants and microbes at the population, genomics and proteomics level. The role of soil microbial diversity in enhancing plant health and plant microbe beneficial symbioses is discussed. Microbial communities are shown in the light of evolution. Main topics include genome coexistence and the functional genomics and proteomics of plant-associated microbes, which could form the basis for new environmentally benign strategies to combat infectious plant diseases and regulate plant growth. Further chapters focus on the role of signaling during the different stages of plant microbe coexistence, in symbiotic or pathogenic relationships, in quorum sensing and plant viral infections. Methods for studying the interactions in the root zone complement the book, which will certainly be of relevance in the practical application to agriculture, food security and for maintaining the balance of our ecosystems.
Molecular Mechanisms of Neurotransmitter Release
Within the complex neuronal network of the nervous system, neuron-to-neuron communication occurs mainly through chemical synapses, where the presynaptic nerve terminal releases neurotransmitters that control the function of postsynaptic neurons by acting on postsynaptic receptors. Recent decades have brought groundbreaking new developments and a wealth of knowledge to this field. In Molecular Mechanisms of Neurotransmitter Release, leading experts provide concise, up-to-date information on all major molecular mechanisms involved, with complete background information and figures and diagrams to further elucidate key concepts or experiments.Comprehensive and cutting-edge, Molecular Mechanisms of Neurotransmitter Release is sure to provide a learning tool for neuroscience students, a solid reference for neuroscientists, and a source of knowledge for all those who have a general interest in the ever-evolving field of neuroscience.
Molecular docking for computer-aided drug design : Fundamentals, techniques, resources and applications
Molecular Docking for Computer-Aided Drug Design: Fundamentals, Techniques, Resources and Applications offers in-depth coverage on the use of molecular docking for drug design. The book is divided into three main sections that cover basic techniques, tools, web servers and applications. It is an essential reference for students and researchers involved in drug design and discovery.
Molecular Biology of Metal Homeostasis and Detoxification : From Microbes to Man
One of the challenges faced by every cell as well as by whole organisms is to maintain appropriate concentrations of essential nutrient metals while excluding nonessential toxic metals. Toward that end, all organisms have developed mechanisms for metal homeostasis and detoxification to maintain metal levels within physiological limits. This book brings together current knowledge of the molecular basis of metal homeostasis and detoxification in various eukaryotic model systems, including yeasts, plants, and mammals. It focuses on the cellular systems controlling metal transport, intracellular distribution, and immobilization as well as on systems regulating metal-dependent transcription. In addition to environmental aspects (including phytoremediation), the book treats the pathophysiology of metal deficiency and overload in relation to disease.
Molecular autoimmunity
The autoimmune disease paroxysmal cold hemoglobinuria, a rare hemolytic disorder. After a century of research, the list of autoimmune diseases has become impressive. With a prevalence of approximately 5% of the world-wide population, these chronic, debilitating conditions affect almost every major organ of the body and, for reasons that remain unclear, are much more prevalent in woman than in men. Despite our rapidly expanding knowledge of the cellular and molecular pathways that govern a normal immune response, deciphering the precise etiology of autoimmune diseases remains an important challenge. Over the last few years, our understanding of the pathogenesis of autoimmune diseases has improved rapidly, leading to the emergence of elegant immunointervention strategies. Molecular Autoimmunity illustrates how cutting-edge research is continuing to advance our understanding of autoimmune disease mechanisms and identifies novel therapeutic targets that provide a hope for effective future treatments. This volume contains a selected number of exciting advances in unraveling autoimmune reactions, and the resulting new armory of experimental immunotherapies that may lead to new ways of controlling autoimmune reactions.
Modern treatments for chronic blood diseases
Blood is a body fluid in humans and other animals that delivers necessary substances such as nutrients and oxygen to the cells and transports metabolic waste products away from those same cells. In vertebrates, it is composed of blood cells suspended in blood plasma. Plasma, which constitutes 55% of blood fluid, is mostly water (92% by volume), and contains proteins, glucose, mineral ions, hormones, carbon dioxide (plasma being the main medium for excretory product transportation), and blood cells themselves. Albumin is the main protein in plasma, and it functions to regulate the colloida osmotic pressure of blood. The blood cells are mainly red blood cells (also called RBCs or erythrocytes), white blood cells (also called WBCs or leukocytes) and platelets (also called thrombocytes). Thalassemias are inherited blood disorders characterized by decreased hemoglobin production Symptoms depend on the type and can vary from none to severe. Often there is mild to severe anemia (low red blood cells or hemoglobin). Anemia can result in feeling tired and pale skin. There may also be bone problems, an enlarged spleen, yellowish skin, and dark urine. Slow growth may occur in children.
Modern Sliding Mode Control Theory : New Perspectives and Applications
This book is a collection of invited chapters covering several areas of modern sliding mode control theory. The authors identify key contributions defining the theoretical and applicative state of the art of the sliding mode control theory and the most promising trends of the ongoing research activities. The contributions is divided in four main parts: Part I: Basic Theory. Part II: Design Methods. Part III: Observers and Fault Detection. Part IV: Applications.
Modern Methods in the Calculus of Variations : L^p Spaces
This is the first of two books on methods and techniques in the calculus of variations. Contemporary arguments are used throughout the text to streamline and present in a unified way classical results, and to provide novel contributions at the forefront of the theory.This book addresses fundamental questions related to lower semicontinuity and relaxation of functionals within the unconstrained setting, mainly in L^p spaces. It prepares the ground for the second volume where the variational treatment of functionals involving fields and their derivatives will be undertaken within the framework of Sobolev spaces.
Modern Mathematical Statistics with Applications
This book tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on real data gleaned from publicly available sources. The main focus of the book is on presenting and illustrating methods of inferential statistics used by investigators in a wide variety of disciplines, from actuarial science all the way to zoology. It begins with a chapter on descriptive statistics that immediately exposes the reader to the analysis of real data. The next six chapters develop the probability material that facilitates the transition from simply describing data to drawing formal conclusions based on inferential methodology. Point estimation, the use of statistical intervals, and hypothesis testing are the topics of the first three inferential chapters. The remainder of the book explores the use of these methods in a variety of more complex settings.
Modern Hematology : Biology and Clinical Management
The first chapters of this book contain a self-contained introduction to path integrals in Euclidean quantum mechanics and statistical mechanics. The resulting high-dimensional integrals can be estimated with the help of Monte Carlo simulations based on Markov processes. The most commonly used algorithms are presented in detail so as to prepare the reader for the use of high-performance computers as an “experimental” tool for this burgeoning field of theoretical physics. Several chapters are then devoted to an introduction to simple lattice field theories and a variety of spin systems with discrete and continuous spins, where the ubiquitous Ising model serves as an ideal guide for introducing the fascinating area of phase transitions. As an alternative to the lattice formulation of quantum field theories, variants of the flexible renormalization group methods are discussed in detail. Since, according to our present-day knowledge, all fundamental interactions in nature are described by gauge theories, the remaining chapters of the book deal with gauge theories without and with matter.
Modern deep learning for tabular data : Novel approaches to common modeling problems
Synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data - an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs - Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks - through both their 'default' usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability.
Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. You will: Improve the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization. Compress deep learning models while maintaining performance. Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.
Modern cryptography ; Vol.1 : A classical introduction to informational and mathematical principle
This book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical characteristics and computational complexity theory of public key cryptography, focusing on the three main algorithms of public key cryptography, RSA, discrete logarithm and elliptic curve cryptosystem.
Modern Control Systems ; 14th ed.
Written to be equally useful for all engineering disciplines, this text is organized around the concepts of control systems theory in the context of frequency and time domains. It provides coverage of both classical and modern methods of control engineering to give students a strong foundation in basic principles that they can utilize to explore advanced topics in later chapters. Emphasis is placed on real-world complex control systems and practical design applications as well as evolving design strategies like green engineering and human-centered design. Problem solving is strongly emphasized, with an abundance of problems of increasing complexity that help students learn to apply theory to computer-aided design and analysis concepts using MATLAB® and LabVIEW MathScript.
Modern Computational Intelligence Methods for the Interpretation of Medical Images
A detailed description of up-to-date methods used for computer processing and interpretation of medical images is given. The scope of the book include images acquisition, storing with compression, processing, analysis, recognition and also its automatic understanding In introduction general overview of the computer vision methods designed for medical images is presented. Next sources of medical images are presented with their general characteristics. Both traditional (like X-ray) and very modern (like PET) sources of medical images are presented. The main emphasis is placed on such properties of medical images given by particular medical imaging methods which are important form the point of view of its computer processing, analysis and recognition.
Models, Mysteries, and Magic of Molecules
Molecular behaviour, which is no less than magical, holds the key to the understanding, not only of chemistry, but of all biology and of life itself. It is a mystery why molecular behaviour should remain poorly understood and why the authoritative theories of physics have produced no more than superficial models to elucidate this vital issue. This book explores the common ground to guide chemists, biologists, crystallographers, spectroscopists and theorists into a deeper recognition of their individual relevance towards painting a holistic picture of scientific endeavour. This effort to stimulate interest in multidisciplinary research is rare, if not unique.
Models of the Atomic Nucleus
Models of the Atomic Nucleus is a largely non-technical introduction to nuclear theory – an attempt to explain the nucleus in a way that makes nuclear physics as comprehensible as chemistry or cell biology. Unlike many other scientific fields, the "popularization" of nuclear physics has not previously been successful because many fundamental issues remain controversial and a unified theory of nuclear structure has not yet been established. The theme developed in this book is that the many models of nuclear theory each provide a partial perspective on the nucleus and that the many models can in fact be integrated into a coherent whole and expressed in terms of a lattice of nucleons.
Models in Cooperative Game Theory
Cooperative game theory is a booming research area with many new developments in the last few years. So, our main purpose when prep- ing the second edition was to incorporate as much of these new dev- opments as possible without changing the structure of the book. First, this o?ered us the opportunity to enhance and expand the treatment of traditional cooperative games, called here crisp games, and, especially, that of multi-choice games, in the idea to make the three parts of the monograph more balanced. Second, we have used the opportunity of a second edition to update and enlarge the list of references regarding the three models of cooperative games. Finally, we have benefited from this opportunity by removing typos and a few less important results from the ?rst edition of the book, and by slightly polishing the English style and the punctuation, for the sake of consistency along the monograph.
Modellistica numerica per problemi differenziali = Numerical modeling for differential problems
This text introduces the basic concepts for the numerical modeling of partial differential problems. We consider the classic elliptic, parabolic and hyperbolic linear equations, but also other equations, such as those of diffusion and transport, of Navier-Stokes, and the conservation laws, and we provide numerous physical examples underlying these equations. Then we analyze numerical resolution methods based on finite elements, finite differences, finite volumes, spectral methods and domain decomposition methods. In particular, the algorithmic and computer implementation aspects are discussed and various easy-to-use programs are provided.
