تحسين النتائح
ترتيب حسب
من
الى
الصفحة 1
الصفحة 1
Lung Pathology
Learning the diagnostic elements of lung pathology requires not only great familiarity with a wide diversity of cases, but also a sharp eye for analyzing pictorial images. In Lung Pathology: A Consultative Atlas, leading experts offer a novel and substantive approach to the teaching of pulmonary pathology. Drawing on 263 challenging, yet exemplary, referral cases taken from files collected over 20 years by internationally renowned lung pathologist, Dr. Eugene Mark, the authors introduce his state-of-the-art approach to the interpretation of pulmonary pathology. This text includes the primary and/or differential diagnosis and the pertinent histological features of each case, as well as clinical history, when available. Key words or phrases in the text are highlighted and digitally hyperlinked to associated images or regions of interest within those images to assist the readers in their correlation. Novel and user friendly, Lung Pathology: A Consultative Atlas describes a cutting-edge diagnostic approach to pulmonary pathology, describing its principles and demonstrating its application in text and full-color illustrations drawn from 263 difficult cases of human lung pathologies.
Liver MRI : Correlation with other Imaging Modalities and Histopathology
In this seminal manuscript the - thor described a new imaging technique which moved the single dimension of NMR spectroscopy to the dual dimension of spatial orientation, thereby resulting in the foundation of modern magnetic re- nance (MR) imaging. Over the ensuing years, MR imaging has assumed an increasingly important role in clinical imaging. It distinguishes itself from other imaging modalities, such as ultrasound (US) or computed tomography (CT), by the unique ability to visualize specific tissue components in a non-- vasive manner. In the earlier days, diagnostic MR imaging was limited to cerebral and musculoskeletal diseases. - aging of other areas which are more prone to movement through breathing (abdominal) or pulsation motions (cardiac) became available more recently, with the introduction of faster sequences and the - velopment of more dedicated MR imaging coils.
Clinical chemistry : Principles, techniques, and correlations ; 9th ed.
Keeps students at the forefront of what continues to be one of the most rapidly advancing areas of laboratory medicine with clear explanations that balance analytic principles, techniques, and correlation of results with coverage of disease states. The book not only demonstrates the how of clinical testing, but also the what, why, and when of testing correlations to help students develop the knowledge and interpretive and analytic skills they'll need in their future careers.
Clinical chemistry : principles, procedures, correlations ; 8th ed.
Demonstrates the how of clinical testing, and also the what, why, and when of testing correlations to help students develop the knowledge and interpretive and analytic skills they'll need in their future careers
Applied Spatial Data Analysis with R
Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data, The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping.
Advances in multiple Sclerosis and Experimental Demyelinating Diseases
Challenging Charcot’s hypothesis that inflammatory response is the primary contributor to demyelination, Dr. Rodriguez and colleagues take a fresh, bold look at the causes and possible treatments of MS.Assuming oligodendrocyte injury as a prerequisite to MS, the authors explore viruses, toxins and genetic defects as possible culprits. They present novel methods to interrupt and reverse demyelination. This book examines the correlation between axonal loss and clinical deficits, including the implied role of the CD8+ T cell and perforin. It assesses proteases, specifically, kallikrein 6, which are strongly associated with active demyelination. By directing natural autoantibodies against oligodendrocytes that demonstrate remyelination in animal models, the authors envision clinical trials for remyelination enhancement.
Anatomy of the forehead, face, and neck: a dissection manual
Provides a detailed step-by-step approach to the dissection of the forehead, face, and neck, in a structural, layered approach. This dissection manual follows an atlas format, with color photographs from past professional lectures and classroom courses, as well as line drawings, enhancing descriptions. Clinical correlations are also interjected throughout to highlight the importance of individual anatomic structures. Chapters describe the preparation and storage of specimens and the dissection of the forehead and eyebrows, the midface, nose, ear, and lower face, and the neck.
Mathematical Models for Registration and Applications to Medical Imaging
Image registration is an emerging topic in image processing with many applications in medical imaging, picture and movie processing. The classical problem of image registration is concerned with ?nding an appropriate transformation between two data sets. This fuzzy de?nition of registration requires a mathematical modeling and in particular a mathematical speci?cation of the terms appropriate transformations and correlation between data sets. Depending on the type of application, typically Euler, rigid, plastic, elastic deformations are considered. The variety of similarity p measures ranges from a simpleL distance between the pixel values of the data to mutual information or entropy distances. This goal of this book is to highlight by some experts in industry and medicine relevant and emerging image registration applications and to show new emerging mathematical technologies in these areas. Currently, many registration application are solved based on variational prin- ple requiring sophisticated analysis, such as calculus of variations and the theory of partial differential equations, to name but a few. Due to the numerical compl- ity of registration problems ef?cient numerical realization are required. Concepts like multi-level solver for partial differential equations, non-convex optimization, and so on play an important role. Mathematical and numerical issues in the area of registration are discussed by some of the experts in this volume.
Magnetism in the Solid State : An Introduction
Presents a phenomenological approach to the field of solid state magnetism. After introducing the basic concepts from statistical thermodynamics and electronic structure theory, the first part discusses the standard models for localized moments (Weiss, Heisenberg) and delocalized moments (Stoner). This is followed by a chapter about exchange and correlation in metals, again considering the results for the localized and delocalized limit. The book ends with a chapter about spin fluctuations, which are introduced as an alternative to the finite temperature Stoner theory. A useful reference work for researchers, this book will also be a valuable accompaniment to graduate courses on magnetism and magnetic materials.
Low-Dimensional Molecular Metals
Assimilating new research in the field of low-dimensional metals, this monograph provides a detailed overview of the current status of research on quasi-one- and two-dimensional molecular metals, describing normal-state properties, magnetic field effects, superconductivity, and the phenomena of interacting p and d electrons. It will be useful not only for frontier researchers with a broad interest in low-dimensional electronic and magnetic properties, but also for graduate students of solid-state physics and chemistry with some background knowledge of solid-state physics. It includes a number of fundamental and novel findings relating to the characteristics of these low-dimensional metals, which in future are likely to become standard material in textbooks on solid-state physics.
Biophotonics ; Optical science and engineering for the 21st century
Biophotonics: Optical Science and Engineering in the 21st Century serves as an ideal aid to the research and development of these areas integrating light, photonics, and biological systems.Key topics include: Fluctuation Correlation Spectroscopy in Cells: Determination of Molecular Aggregation ,Using GFP and FRET Technologies for Studying Signaling Mechanisms of Apoptosis in a Single Living Cell, Study on Protein-Protein Interaction in Single Living Cells, Functional Optical Coherence Tomography: Simultaneous In Vivo Imaging of Tissue Structure and Physiology, Imaging –Photo- and Sonodynamic Diagnosis of Cancer Mediated by Chemiluminescence Probes, Biophotonic Analysis of Spontaneous Self-Organizing Oxidative Processes in Aqueous Systems, Biophoton Emission and Defense Systems in Plants
Automatic Autocorrelation and Spectral Analysis
It takes advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data. Improved order selection quality guarantees that one of the best (and often the best) will be selected automatically. The data themselves suggest their best representation. Should the analyst wish to intervene, alternatives can be provided. Written for graduate signal processing students and for researchers and engineers using time series analysis for practical applications ranging from breakdown prevention in heavy machinery to measuring lung noise for medical diagnosis.
Atomic structure theory : Lectures on atomic physics
This is a textbook for students with a background in quantum mechanics. The text is designed to give hands-on experience with atomic structure calculations. Material covered includes angular momentum methods, the central field Schrödinger and Dirac equations, Hartree-Fock and Dirac-Hartree-Fock equations, multiplet structure, hyperfine structure, the isotope shift, dipole and multipole transitions, basic many-body perturbation theory, configuration interaction, and correlation corrections to matrix elements.
Applications of random matrices in physics
Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Dyson and Wigner. Although it is an old subject, it is constantly developing into new areas of physics and mathematics. It constitutes now a part of the general culture of a theoretical physicist. Mathematical methods inspired by random matrix theory become more powerful, sophisticated and enjoy rapidly growing applications in physics. Recent examples include the calculation of universal correlations in the mesoscopic system, new applications in disordered and quantum chaotic systems, in combinatorial and growth models, as well as the recent breakthrough, due to the matrix models, in two dimensional gravity and string theory and the non-abelian gauge theories. The book consists of the lectures of the leading specialists and covers rather systematically many of these topics.
Advanced Time-Correlated Single Photon Counting Techniques
Time-correlated single photon counting (TCSPC) is a remarkable technique for recording low-level light signals with extremely high precision and picosecond-time resolution. TCSPC has developed from an intrinsically time-consuming and one-dimensional technique into a fast, multi-dimensional technique to record light signals. So this reference and text describes how advanced TCSPC techniques work and demonstrates their application to time-resolved laser scanning microscopy, single molecule spectroscopy, photon correlation experiments, and diffuse optical tomography of biological tissue. It gives practical hints about constructing suitable optical systems, choosing and using detectors, detector safety, preamplifiers, and using the control features and optimising the operating conditions of TCSPC devices. Advanced TCSPC Techniques is an indispensable tool for everyone in research and development who is confronted with the task of recording low-intensity light signals in the picosecond and nanosecond range.
A History of Parametric Statistical Inference from Bernoulli to Fischer, 1713-1935
This is a history of parametric statistical inference, written by one of the most important historians of statistics of the 20th century, Anders Hald. This book can be viewed as a follow-up to his two most recent books, although this current text is much more streamlined and contains new analysis of many ideas and developments. And unlike his other books, which were encyclopedic by nature, this book can be used for a course on the topic, the only prerequisites being a basic course in probability and statistics.
A First Course in Statistics for Signal Analysis
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation.
