Organ Crosstalk in Acute Kidney Injury: Basic Concepts and Clinical Practices (1版)

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This is an original work dedicated to an important and current topic in nephrology: organ crosstalk in acute renal injury. Acute kidney injury is a prevalent and serious syndrome. The related mortality to this syndrome has not been significantly reduced in the last decades despite the advances in renal replacement therapy technology. For this reason, a new approach to obtain an effective treatment is urgently needed. The organ crosstalk perspective could be useful in order to achieve this objective since it implies a very early acute kidney injury diagnose and treatment. This book includes a comprehensive review of the organ crosstalk perspective in acute kidney injury. Organized in two parts, the chapters in the first part present general subjects as an introduction to analysing the crosstalk concept. These chapters give an overview of the concepts of biosemiotics, hormones, neurotransmitters, cytokines, signalling and adhesion molecules, organ intercommunication, and epigenetics. The second part gathers chapters on the different kidney crosstalk, such as brain, lung, heart, liver, gut, and placenta. Finally, there is a chapter dedicated to the influence of renal replacement treatment on kidney crosstalk. Since acute kidney injury is a topic of interest to many health professionals, this work will be a useful resource to general practitioners, internal medicine physicians, geriatricians, nephrologists, critical care therapists, immunologists, and also biologists and bioengineers.

LINEAR ALGEBRA I: BASIC CONCEPTS

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This is the first volume of the two-volume book on linear algebra, in the University of Tokyo (UTokyo) Engineering Course. The objective of this volume is to present, from the engineering viewpoint, the standard mathematical results in linear algebra such as those on systems of equations and eigenvalue problems. In addition to giving mathematical theorems and formulas, it explains how the mathematical concepts such as rank, eigenvalues, and singular values are linked to engineering applications and numerical computations. In particular, the following four aspects are emphasized. How matrices arise (discretization of differential equations, description of system structures, description of transition probability) What kinds of matrices arise (sparse matrices, positive definite matrices, diagonally-dominant matrices, nonnegative matrices, integer matrices, polynomial matrices) What characteristics we are interested in (rank, eigenvalues, singular values, positive definiteness) How we can compute (expansion formulas of determinants, elementary transformation, estimates of eigenvalues) Request Inspection Copy Sample Chapter(s) Preface Chapter 1: Matrices Contents: Preface Matrices Determinants Elementary Transformations and Elimination Rank Systems of Linear Equations Eigenvalues Quadratic Forms Singular Values and the Method of Least Squares Vector Spaces Bibliography Index Readership: Undergraduate students majoring in engineering and other mathematical sciences.

BASIC CONCEPTS IN ALGORITHMS

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This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms and methods combining basic programming constructs as building blocks and their usefulness in the derivation of algorithms. Its coverage includes the algorithms' design process and an analysis of their performance. It is primarily intended as a textbook for the teaching of Algorithms for second year undergraduate students in study fields related to computers and programming. Klein reproduces his oral teaching style in writing, with one topic leading to another, related one. Most of the classical and some more advanced subjects in the theory of algorithms are covered, though not in a comprehensive manner. The topics include Divide and Conquer, Dynamic Programming, Graph algorithms, probabilistic algorithms, data compression, numerical algorithms and intractability. Each chapter comes with its own set of exercises, and solutions to most of them are appended. Related Link(s) Press Release - Basic algorithms for undergraduates in a concise and readable form Sample Chapter(s) Preface Chapter 1: Divide and Conquer Request Inspection Copy Contents: List of Background Concepts List of Algorithms Preface Recursion: Divide and Conquer Dynamic Programming Graph Algorithms: Minimum Spanning Trees Shortest Paths Probabilistic Algorithms: Primality Text Algorithms: Data Compression Pattern Matching Numerical Algorithms: Fast Fourier Transform Cryptography Intractability: NP Completeness Approximations Solutions to Selected Exercises References Index Readership: Advanced undergraduate; 2nd year of Computer Science, engineering, data science. The book is intended for a broad audience acquainting the reader with the theoretical sides of computer programming, for students studying computer related fields.