الصفحة 3
الصفحة 3
Motion Planning in Medicine : Optimization and Simulation Algorithms for Image-Guided Procedures
The monograph written by Ron Alterovitz and Ken Goldberg combines ideas from robotics, physically-based modeling, and operations research to develop new motion planning and optimization algorithms for image-guided medical procedures. A challenge clinicians commonly face is compensating for errors caused by soft tissue deformations that occur when imaging devices or surgical tools physically contact soft tissue. A number of methods are presented which can be applied to a variety of medical procedures, from biopsies to anaesthesia injections to radiation cancer treatment. They can also be extended to address problems outside the context of medical robotics, including nonholonomic motion planning for mobile robots in field or manufacturing environments.
Mosby's 2024 nursing drug reference
Makes it easy to find the most vital information on the drugs you administer most frequently. More than 5,000 drugs are profiled — including more than 25 new entries for drugs recently approved by the FDA. And no other drug guide places a higher emphasis on patient safety, with Black Box Warnings for dangerous adverse reactions, High Alerts for drugs with the greatest risk, and a focus on both common and life-threatening side effects. From nursing pharmacology expert Linda Skidmore-Roth, this perennial bestseller proves there is a difference in drug guides.
Mosby’s dental drug reference
Profiles the most commonly used drugs in dentistry, with emphasis on dental-specific considerations. More than 800 drug monographs make it easy to find information such as dosages, indications, contraindications, interactions, precautions, side effects, and serious reactions.
Morphological Models of Random Structures
This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The introduced models concern many physical situations in heterogeneous media, where a probabilistic approach is required, like fracture statistics of materials, scaling up of permeability in porous media, electron microscopy images (including multispectral images), rough surfaces, multi-component composites, biological tissues, textures for image coding and synthesis. The common feature of these random structures is their domain of definition in n dimensions, requiring more general models than standard Stochastic Processes.The main topics of the book cover an introduction to the theory of random sets, random space tessellations, Boolean random sets and functions, space-time random sets and functions (Dead Leaves, Sequential Alternate models, Reaction-Diffusion), prediction of effective properties of random media, and probabilistic fracture theories.
Molecular Markers of Brain Tumor Cells : Implications for Diagnosis, Prognosis and Anti-Neoplastic Biological Therapy
Childhood brain tumors are a diverse group of diseases characterized by the abnormal growth of tissue contained within the skull. Other than leukemia and lymphoma, brain tumors are the most common type of neoplasms that occur in children. The leading cause of death from childhood neoplasms among persons up to 19 years is brain tumors. As such, this book is a review of the most recent molecular biological research concerning brain tumors with references and comparisons to a variety of neoplastic disorders. The book then uses this information to foreshadow the direction that future anti-neoplastic therapies will take. Because of the wide spectrum of the objectives of the book, any individual involved in cancer research will greatly benefit from the work. Histopathologists, neuropathologists, clinical and research oncologists, and medical students will find this book to be an invaluable resource as a reference guide. Patients and their families will also find the book useful as it offers a comprehensive update on new, non-classical therapeutic modality options and contains a detailed description and analysis of brain tumors. Such an endeavor has yet to be undertaken by any other book and may prove to be the most comprehensive book on brain tumors thus far.
Molecular Biology of Human Cancers: An Advanced Student's Textbook
Presents many of the molecules and mechanisms generally important in human cancers. Following an overview on the cancer problem, individual chapters deal with cancer genetics and epigenetics, DNA damage and repair, oncogenes, tumor suppressors, regulatory pathways in cancer, apoptosis, cellular senescence, tumor invasion, and metastasis. A consensus is emerging that while these common mechanisms and molecules are all relevant to human cancers, in each cancer type (or even subtype) a selection of them are extremely important. For selected cancers, the route from genetic and epigenetic changes to their biological and clinical behavior can already be traced. Part II of the book presents a broad, but exemplary selection of cancers that serve as paradigms to illustrate this point. In fact, cancer research has now reached a critical stage, in which the accumulated knowledge on molecular mechanisms is gradually translated into improved prevention, diagnosis, and treatment. The state, pitfalls, and potential of these efforts are summarized in Part III. More than ever, cancer research is now an interdisciplinary effort which requires a basic knowledge of commonly used terms, facts, issues, and concepts. The aim of this book is to provide advanced students and practitioners of different disciplines with this basis, bridging the gap between standard textbooks of molecular biology, pathology, and oncology on the one hand and the specialized cancer literature on the other.
Modified Fibers with Medical and Specialty Applications
This book will be an invaluable resource for researchers and others interested in future developments in fiber technology. Several innovative applications for natural and synthetic fibers are described in considerable detail with emphasis on the experimental data that supports these new applications. From bandages to magnetic materials and from antibacterial clothing to implants, creative modifications to fibers are described that could one day become commonplace. Never before has this much new information about fiber modification been packaged into one book volume. In this book the world’s leading experts describe their most recent research in their areas of expertise.
Modernizing the academic teaching and research environment : Methodologies and cases in business research
Constitutes a valuable manual for young and seasoned business researchers alike, and provides a comprehensive summary for the whole research journey. It is a must-read for all researchers who need to understand the basics of business research, from identifying research topics, to planning and organizing the research process, and selecting the most appropriate methodology for the topic at hand. This book also provides insights on how to avoid common pitfalls in business research and outlines the research skills needed to write a fine piece of research. In order to capture the innovative element of research, the book also highlights methods for thinking outside the box. It also stresses the importance of respecting ethics while conducting business research. Lastly, it presents important cases and provides hands-on training for preparing survey tools. Readers looking to master business research won’t want to miss out on this unique and insightful book.
Modern parallel programming with C++ and assembly language : X86 SIMD development using AVX, AVX2, and AVX-512
Understand the essential details about x86 SIMD architectures and instruction sets including AVX, AVX2, and AVX-512. / Master x86 SIMD data types, arithmetic instructions, and data management operations using both integer and floating-point operands. / Code performance-enhancing functions and algorithms that fully exploit the SIMD capabilities of a modern x86 processor. Employ C++ intrinsic functions and x86-64 assembly language code to carry out arithmetic calculations using common programming constructs including arrays, matrices, and user-defined data structures. Harness the x86 SIMD instruction sets to significantly accelerate the performance of computationally intense algorithms in applications such as machine learning, image processing, computer graphics, statistics, and matrix arithmetic. / Apply leading-edge coding strategies and techniques to optimally exploit the x86 SIMD instruction sets for maximum possible performance.
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 cryotherapy as cancer treatment
Despite the new development of cancer therapy we noticed that we still have a high mortality rate and it is of importance to introduce all types of new cancer therapies to our patients in Syria. Cryotherapy is a new old option and first used in skin cancer which we will discuss in our study and we will also a new diagnostic tool for the most aggressive cancer melanoma which may help doctors to identify at which stage we can start with cryotherapy by early detection of that cancer. Breast and prostate cancers are the most common and lethal for women and men respectively however we will also add breast cancer in men, and the application of cryotherapy in such tumors, and our interest about bone tumor was based on the fact of the expanses of bone marrow transplantation in our country so we need many types of cancer therapies to prevent patients from reaching this option.
Modern Circuit Placement : Best Practices and Results
This book has four unique characteristics. First, it focuses on the most recent highly scalable placement techniques used for multi-million gate circuit designs, with consideration of many practical aspects of modern circuit placement, such as density and routability control, mixed-size placement support, and area I/O support. Second the book addresses dominant techniques being used in the field. Although these tools are developed by academia, many core techniques in these tools are being used extensively in industry and represent today’s advanced placement techniques. Third, the book provides quantitative comparison among the various techniques on common benchmark circuits derived from real-life industrial designs. The book includes significant amounts of analysis on each technique, such as trade-offs between quality-of-results (QoR) and runtime. Finally, analysis of the optimality of the placement techniques is included.
Modern asset allocation for wealth management
This book provides a complete taxonomy of modern methods for constructing investment portfolios. It goes beyond the simplest models and heuristics that are commonly used today and brings advances that are otherwise buried in Ph.D.-level mathematics to the financial advisor community. It covers all aspects of creating client portfolios, including choosing asset classes to invest in, selecting securities within asset classes, client risk preference assessment, portfolio construction, and portfolio rebalancing.
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 for Discrete Longitudinal Data
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors consider a variety of extensions, such as models for multivariate longitudinal measurements, random-effects models with serial correlation, and mixed models with non-Gaussian random effects. They sketch the general principles for how to deal with the commonly encountered issue of incomplete longitudinal data. The authors critique frequently used methods and propose flexible and broadly valid methods instead, and conclude with key concepts of sensitivity analysis. The book shows how the different approaches can be implemented within the SAS software package. The text is organized so the reader can skip the software-oriented chapters and sections without breaking the logical flow.
Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems
Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems covers the background theory of fluid power and indicates the range of concepts necessary for a modern approach to condition monitoring and fault diagnosis in a readable and understandable fashion. The theory is constantly leavened by 15 years' worth of practical measurements by the author, working in association with major fluid power companies, and real industrial case studies – hot-strip-mill monitoring in conjunction with Corus p.l.c. being just one example. Comprising four parts, it provides: • an introduction to component behaviour. • a guide to the modelling methods employed for circuit analysis. • methods for doing condition monitoring. • common faults and breakdowns.
Modelling water and nutrient dynamics in soil-crop systems : Applications of different models to common data sets - Proceedings of a workshop held 2004 in Müncheberg, Germany
This book contains articles from a workshop on "Modelling water and nutrient dynamics in crop-soil systems". Data sets from lysimeters and experimental fields of multiyear crop rotations were provided for modellers. A unique data set is provided of a 100 year long term field experiment regarding crop yield and organic carbon development under different management systems. The book includes a detailed description of data sets which can be used by modellers and the papers describe the applications of 18 different modelling approaches describing soil-crop-atmosphere interactions for water, nitrogen and carbon dynamics.
Modeling Excitable Tissue : The EMI Framework
This volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells.
Model-Driven Design Using Business Patterns
This book takes exactly this step: it shows you how to apply the pattern ideas in business applications and presents more than 20 structural and behavioral business patterns that use the REA (resources, events, agents) pattern as a common backbone. If you are a developer working on business frameworks, you can use the patterns presented to derive the right abstractions (e.g., business objects) and to design and ensure that the meta-rules (e.g., process patterns) are followed by the developers of the actual applications. And if you are an application developer, you can use these patterns to design your business application, to ensure that it does not violate the domain rules, and to adapt the application to changing requirements without the need to change the overall architecture. As with patterns in general, this approach allows for both more flexible and more solid software architectures and hence better software quality.
