الصفحة 28
الصفحة 28
Introduction to Computational Biology : An Evolutionary Approach
Molecular biology has changed dramatically over the past two decades. Until the early 1990s genes were studied one at a time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In the bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as a new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors.
Introduction to Complex Analysis in Several Variables
This book gives a comprehensive introduction to complex analysis in several variables. It clearly focusses on special topics in complex analysis rather than trying to encompass as much material as possible. Many cross-references to other parts of mathematics, such as functional analysis or algebras, are pointed out in order to broaden the view and the understanding of the chosen topics. A major focus is extension phenomena alien to the one-dimensional theory, which are expressed in the famous Hartog's Kugelsatz, the theorem of Cartan-Thullen, and Bochner's theorem.
Introduction to Classical Geometries
This book follows Felix Klein’s proposal of studying geometry by looking at the symmetries (or rigid motions) of the space in question. In this way the classical geometries are studied: Euclidean, affine, elliptic, projective and hyperbolic. For simplicity the focus is on the two-dimensional case, which is already rich enough, though some aspects of the 3- or n-dimensional geometries are included. Once plane geometry is well understood, it is much easier to go into higher dimensions.
Introduction to Calculus and Classical Analysis
This text is intended for an honors calculus course or for an introduction to analysis. Involving rigorous analysis, computational dexterity, and a breadth of applications, it is ideal for undergraduate majors. This second edition includes corrections as well as some additional material.The text is completely self-contained and starts with the real number axioms; the integral is defined as the area under the graph, while the area is defined for every subset of the plane; there is a heavy emphasis on computational problems.
Introduction to Bayesian Statistics
This is the second and translated edition of the German book “Einf ̈uhrung in die Bayes-Statistik, Springer-Verlag, Berlin Heidelberg New York, 2000”. It has been completely revised and numerous new developments are pointed out together with the relevant literature. The Chapter 5.2.4 is extended by the stochastic trace estimation for variance components. The new Chapter 5.2.6 presents the estimation of the regularization parameter of type Tykhonov regularization for inverse problems as the ratio of two variance components.The reconstruction and the smoothing of digital three-dimensional images is demonstrated in the new Chapter 5.3. The Chapter 6.2.1 on importance sampling for the Monte Carlo integration is rewritten to solve a more general integral. This chapter contains also the derivation of the SIR (sampling-importance-resampling) algorithm as an alternative to the rejection method for generating random samples. Markov Chain Monte Carlo methods are now frequently applied in Bayesian statistics.
Introduction to Bayesian Scientific Computing : Ten Lectures on Subjective Computing
Inverse problems are closely related to statistical inference problems, where the observations are used to infer on an underlying probability distribution. This connection between statistical inference and inverse problems is a central topic of the book. Inverse problems are typically ill-posed: small uncertainties in data may propagate in huge uncertainties in the estimates of the unknowns. To cope with such problems, efficient regularization techniques are developed in the framework of numerical analysis. The counterpart of regularization in the framework of statistical inference is the use prior information.
Introduction to basics of pharmacology and toxicology ; Vol.3 : Experimental pharmacology : Research methodology and biostatistics
Elaborates on the general principles of experimental pharmacology. Describes about the screening methods for the evaluation of different categories of drugs. Summarizes the various aspects of research methodology and biostatistics.
Introduction to basics of pharmacology and toxicology ; Vol.2 : Essentials of systemic pharmacology : From principles to practice
Describes the pharmacology of drugs acting on different systems in the human body Analyses various human diseases and the pharmacological agents governing them Provides a valuable reference resource for academicians, researchers, and clinical practitioners Offers a comprehensive overview of the pharmacology concerning the autonomic, central, and peripheral nervous systems. Presenting up-to-date information on chemical mediators and their significance, it highlights the therapeutic aspects of several diseases affecting the cardiovascular, renal, respiratory, gastrointestinal, endocrinal, and hematopoietic systems. The book also includes drug therapy for microbial and neoplastic diseases. It also comprises sections on immunopharmacology, dermatological, and ocular pharmacology providing valuable insights into these emerging and recent topics.
Introduction to Applied Optimization
This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter.
Introduction aux méthodes numériques
Au cours de l’histoire, les méthodes de calcul ont été l’expression de pratiques sans cesse renouvelées. Le développement de l’informatique a largement contribué à une rapide progression de l’ensemble des techniques numériques. En moins de cinquante ans, le paysage algorithmique a été complètement transformé. Aujourd’hui, la plupart des logiciels que nous employons font appel à des méthodes de plus en plus efficaces. Dans les simulations, comme dans les modélisations, l’analyse numérique occupe une place centrale. Composants essentiels de la vie scientifique, les méthodes et algorithmes qui sont présentés ici, illustrés par de nombreux exemples, sont mis à la portée de tous. De l’approximation polynomiale à la résolution d’équations aux dérivées partielles par des méthodes de différences, de volumes et d’éléments finis, ce livre offre un large panorama des méthodes numériques actuelles.
Introduction à SCILAB
Ce livre est organisé en deux parties. La première partie est consacrée au langage Scilab et à son environnement. Dans la seconde partie, les fonctionnalités des grands domaines d'utilisation du calcul numérique sont décrites et illustrées par des exemples: calcul matriciel, simulation, optimisation, résolution d'équations, statistiques.
Introduction à la résolution des systèmes polynomiaux = Introduction to solving polynomial systems
This book is an introduction to algebraic methods for solving this type of equations. We show how the geometry of algebraic varieties defined by these equations, their dimension, their degree, or their components can be deduced from the properties of the corresponding quotient algebras. For this, we approach methods of effective algebraic geometry, such as Grobner bases, resolution by eigenvalues and vectors, resultants, bezoutians, duality, Gorenstein algebras and algebraic residues.
Introducing Robotic Process Automation to Your Organization : A Guide for Business Leaders
Enables you, a novice to RPA, to successfully implement an RPA program at your company. RPA is rapidly growing in use, but is only starting to be taught at a university level. Many mid-level managers will be tasked with introducing an RPA program at their organizations as senior management learns of its efficacy, but will be unfamiliar with how to do so. This book provides you with the skills and information you need to make an informed decision. You will learn: Know the benefits of robotic process automation (RPA) / Understand the limitations of RPA / Ask the right questions to determine whether a process is a good candidate for automation / Obtain buy-in from skeptics at the senior and middle manager levels, and from line workers Be familiar with the structure required for success
Introducing Biological Rhythms : A Primer on the Temporal Organization of Life, with Implications for Health, Society, Reproduction, and the Natural Environment
Biological rhythms are a fundamental property of all life and encompass a wide range of frequencies, from seconds to a century or more. Introducing Biological Rhythms is a primer that serves to introduce individuals to the area of biological rhythms. It describes the major characteristics and discusses the implications and applications of these rhythms, while citing scientific results and references. Also, the primer includes essays that provide in-depth historic and other background information for those interested in more specific topics or concepts. Introducing Biological Rhythms covers a basic cross-section of the field of chronobiology clearly enough so that it can be understood by a novice, or an undergraduate student, but it is also sufficiently technical and detailed for the scientist.
Intraspecific Genetic Diversity : Monitoring, Conservation, and Management
Population and evolutionary genetics have been quickly developing ?elds of biological research over the past decades. This book compiles our current understanding of genetic processes in natural populations. In addition, the book provides the author’s original ideas and concepts based on the data obtained by himself and his close coworkers. The author introduces his pioneering concept of population genetic stability,and much of thebook is concerned with the factors and conditions of such stability. Why does genetic stability matter so much? Altukhov argues that the sustainable use of natural resources, including genetic resources of popu- tions, critically depends on the maintenance of their stability. The preser- tion of well-adapted genetic characteristics from one generation to the next is essential for this stability. Traditionally, population genetics has been - cusedonevolution andthe role of evolutionary factorsinshapinggenetic structures of populations. While the idea of a population as a dynamic unit of evolution has been widely accepted, the signi?cance of genetic stability and its implications for the long-term survival of populations and species have not been fully appreciated.
Intraoperative complications in dental implants
Examines intraoperative complications associated with dental implant surgery, a critical and under-researched area in dental practice. The study focuses on identifying the most common intraoperative complications, their potential causes, and dental surgeons' strategies to manage these issues effectively. Through a comprehensive review of recent literature and a series of case studies, this research identifies specific risk factors and procedural challenges that lead to complications during the surgical phase of implant placement. Additionally, the thesis proposes a set of guidelines aimed at minimizing the occurrence of these complications.
Intracranial vascular malformations and aneurysms : From diagnostic work-up to endovascular therapy ; 2nd ed.
This book describes the pathoanatomical, pathophysiological, and imaging features of vascular malformations and aneurysms of the brain and the modern, minimally invasive endovascular methods and techniques employed in their treatment.
Intracranial vascular malformations and aneurysms : From diagnostic work-up to endovascular therapy ; 1st ed.
This book describes the pathoanatomical, pathophysiological, and imaging features of vascular malformations and aneurysms of the brain and the modern, minimally invasive endovascular methods or techniques employed in their treatment. Individual chapters are devoted to venous malformations, capillary telangiectasias and cavernomas, pial arteriovenous malformations, dural arteriovenous malformations, and intracranial aneurysms. Each chapter is subdivided into four principal sections on pathology, clinical presentation, diagnostic imaging, and therapy, ensuring a standardized approach throughout. The book is richly illustrated with numerous informative CT, MR and DSA images.
Intracellular Mechanisms for Neuritogenesis
This book present in novel, distinct, but highly related aspects of the intracellular mechanisms required for the formation of a functional neurite, which include cytoskeletal organization, membrane traffic, and signal transduction.
Interval / Probabilistic Uncertainty and Non-Classical Logics
Contains proceedings of the first international workshop that brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. We hope that this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.
