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Defects of Secretion in Cystic Fibrosis
This book brings together physicians, physiologists, and other scientists involved in basic research, from molecular biology to drug design and introduces novel investigative and therapeutic aspects of secretion disorders relevant in cystic fibrosis and related diseases. This book will be of interest to Molecular biologists, physiologists, scientists working in pharmaceutical research and drug developement, physicians and researchers in Cystic fibrosis and related diseases.
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Presents a comprehensive comparison of the performance of stochastic optimization algorithms / Includes an introduction to benchmarking and statistical analysis / Provides a web-based tool for making statistical comparisons of optimization algorithms / Overviews of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios. The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches.
Deep learning pipeline : Building a deep learning model with TensorFlow
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.
Decoupling Control
Decoupling or non-interactive control has attracted considerable research attention since the 1960s when control engineers started to deal with multivariable systems. The theory and design techniques for decoupling control have now, more or less matured for linear time-invariant systems, yet there is no single book which focuses on such an important topic. The present monograph fills this gap by presenting a fairly comprehensive and detailed treatment of decoupling theory and relevant design methods. Decoupling control under the framework of polynomial transfer function and frequency response settings, is included as well as the disturbance decoupling problem. The emphasis here is on special or relatively new compensation schemes such as (true and virtual) feedforward control and disturbance observers, rather than use of feedback control alone. The results are presented in a self-contained way and only the knowledge of basic linear systems theory is assumed of the reader.
Decision Making in Dental Implantology : Atlas of Surgical and Restorative Approaches
offers an image-based resource to both the surgical and restorative aspects of implant therapy, presenting more than 2,000 color images with an innovative case-by-case approach. Takes a highly pictorial approach to all aspects of implant dentistry Discusses both the surgical and restorative aspects of implant therapy in a single resource. Describes a wide range of clinical scenarios likely to be encountered in daily practice Covers anterior, posterior, and full-mouth restorations . Presents more than 2,000 color images showing the basic concepts and clinical cases
Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring.
Data structure and algorithms using C++ : A practical implementation
Intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners.
Data science in theory and practice : Techniques for big data analytics and complex data sets
Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. Readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets
Data Science for Civil Engineering : A Beginner's Guide
Explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation.
Data Communications and networking
Helps students understand the basics of data communications and networking, and the protocols used in the Internet in particular by using the protocol layering of the Internet and TCP/IP protocol suite. Technologies related to data communication and networking may be the fastest growing in today's culture.
Data communications and network technologies
Aims to help readers master the basics of network communications and use Huawei network devices to set up enterprise LANs and WANs, wired networks, and wireless networks, ensure network security for enterprises, and grasp cutting-edge computer network technologies. The content of this book includes: network communication fundamentals, TCP/IP protocol, Huawei VRP operating system, IP addresses and subnetting, static and dynamic routing, Ethernet networking technology, ACL and AAA, network address translation, DHCP server, WLAN, IPv6, WAN PPP and PPPoE protocol, typical networking architecture and design cases of campus networks, SNMP protocol used by network management, operation and maintenance, network time protocol NTP, SND and NFV, programming, and automation.
Data Assimilation : The Ensemble Kalman Filter
Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filters and smoothers. It is demonstrated how the different methods can be derived from a common theoretical basis, as well as how they differ and/or are related to each other, and which properties characterize them, using several examples.It presents the mathematical framework and derivations in a way which is common for any discipline where dynamics is merged with measurements. The mathematics level is modest, although it requires knowledge of basic spatial statistics, Bayesian statistics, and calculus of variations. Readers will also appreciate the introduction to the mathematical methods used and detailed derivations, which should be easy to follow, are given throughout the book. The codes used in several of the data assimilation experiments are available on a web page.The focus on ensemble methods, such as the ensemble Kalman filter and smoother, also makes it a solid reference to the derivation, implementation and application of such techniques. Much new material, in particular related to the formulation and solution of combined parameter and state estimation problems and the general properties of the ensemble algorithms, is available here for the first time.
Cytokines and Cancer
This volume provides a comprehensive review of the current knowledge on cytokines and cancer. Cytokines play a variety of roles in cancer, both as components of pathogenetic mechanisms, as well as agents used in the treatment of certain malignancies.The volume is divided in two sections. Section one focuses on current developments in the basic science field with particular emphasis on novel mechanisms of cytokine actions in malignant cells. The second section deals with translational and clinical research in the field, and many of the chapter authors were among the first to introduce several cytokines in the treatment of certain tumors.
Cycle Spaces of Flag Domains : A Complex Geometric Viewpoint
This monograph, divided into four parts, presents a comprehensive treatment and systematic examination of cycle spaces of flag domains. Assuming only a basic familiarity with the concepts of Lie theory and geometry, this work presents a complete structure theory for these cycle spaces, as well as their applications to harmonic analysis and algebraic geometry.
Current concepts in dental implantology: from science to clinical research
Presents comprehensive information on all modern scientific and clinical methods used in today's dental implantology. Chapters address such topics as osseointegration and basic science in dental implantology, current trends and biomaterials of clinical relevance, advanced clinical techniques, peri-implantitis, and prosthodontic trends in dental implantology. This book provides a better understanding of the scientific approach to basic concepts in dental implantology and presents the results of many clinical studies.
Cryptography and network security : principles and practices
Introduces students to the compelling and evolving field of cryptography and network security. In an age of viruses and hackers, electronic eavesdropping, and electronic fraud on a global scale, security is paramount. The purpose of this book is to provide a practical survey of both the principles and practice of cryptography and network security. In the first part of the book, the basic issues to be addressed by a network security capability are explored by providing a tutorial and survey of cryptography and network security technology. The latter part of the book deals with the practice of network security: practical applications that have been implemented and are in use to provide network security.
Cryptographic Algorithms on Reconfigurable Hardware
This book covers the study of computational methods, computer arithmetic algorithms, and design improvement techniques needed to implement efficient cryptographic algorithms in FPGA reconfigurable hardware platforms. The concepts and techniques reviewed in this book will make special emphasis on the practical aspects of reconfigurable hardware design, explaining the basic mathematics related and giving a comprehensive description of state-of-the-art implementation techniques. The authors show how high-speed cryptographic algorithms implementations can be achieved on reconfigurable hardware devices without posing prohibited high requirements for hardware resources. The material in this book will be of interest to engineering professionals, programmers, hardware designers, and graduate students interested in the development of security and cryptographic mechanisms at a beginning/intermediate level.
Crop Biosecurity : Assuring our Global Food Supply
Prevention and preparedness are the two basic approaches to maximize food security against any sort of tampering, whether natural, inadvertent or intentional. The NATO funded project “Tools for crop biosecurity” was designed to strengthen the cooperation among U.S., Europe and Israel in the field of crop biosecurity and to generate awareness on how the psychological, economic and cultural consequences of crop bioterrorism, especially attacks on soft targets such as crop seeds, could have a disproportionate adverse effect on Mediterranean agriculture and, more generally, on society.This book illustrates the achievements of the project originated from the workshops organized during the project itself taking in consideration main microbiological threads posed to crops, the tools to recognize and to control them, the needs for international cooperation and research funds to create networks which can face emerging risks for agriculture.
Critical Information Infrastructures : Resilience and Protection
Starting with some basic definitions and assumptions on the topic, this book explores various aspects of Critical Infrastructures throughout the world – including the technological, political, economic, strategic and defensive. This book will be of interest to the CEO and Academic alike as they grapple with how to prepare Critical Information Infrastructures for new challenges.
Crisis Management in Acute Care Settings : Human Factors and Team Psychology in a High Stakes Enviroment
This book addresses all issues relevant to error prevention and safe practice in the acute and emergency health-care setting. It begins with the basic principles of human behavior and decision making and then partitions into three sections where the individual, the team, and the organizational influences within the health-care system are discussed in greater depth.
