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Fundamentals of Data Mining in Genomics and Proteomics
The book presents key analytical techniques used to analyze genomic and proteomic data by detailing their underlying principles, merits and limitations. An important goal of this text is to provide a highly intuitive and conceptual (as opposed to intricate mathematical) account of the discussed methodologies. This treatment will enable readers with interest in analysis of genomic and proteomic data to quickly learn and appreciate the essential properties of relevant data mining methodologies without recourse to advanced mathematics.
Fundamentals of craniofacial malformations ; Vol.2 : Treatment principles
Readers will find detailed discussion of the treatment principles for craniosynostoses, orofacial clefts, branchio-oculo-facial syndromes, soft tissue malformations, dysgnathia and rare syndromes. In addition to description of important facets of treatment and the treatment planning process, guidance is offered on diagnosis and disease classification.
Fundamentals of clinical research : Bridging medicine, statistics and operations
The scope of clinical research is to evaluate the effect of a treatment on the evolution of a disease in the human species.The treatment can be pharmacological, surgical, psychological/behavioral or organizational/logistic. The disease, intended as an impairment of a state of well-being or a condition capable of provoking such impairment over time, can be universally accepted as such (e.g. a cancer or a bone fracture) or perceived as such only by limited groups of individuals in a given cultural context (e.g. hair loss or weight gain). The course of the disease that ones wishes to change can be the one with no intervention or, more frequently, the one observed with the available treatment. The evaluation of the effect of a treatment on the course of a disease is a lengthy process, which progresses in increasingly complex stages.
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.
Fundamentals of Cavitation
Treats cavitation, which is a unique phenomenon in the field of hyd- dynamics, although it can occur in any hydraulic machinery such as pumps, propellers, artificial hearts, and so forth. Cavitation is generated not only in water, but also in any kind of fluid, such as liquid hydrogen. The generation of cavitation can cause severe damage in hydraulic machinery. Therefore, the prevention of cavitation is an important concern for designers of hydraulic machinery. On the contrary, there is great potential to utilize cavitation in various important applications, such as environmental protection. There have been several books published on cavitation, including one by the same authors. This book differs from those previous ones, in that it is both more physical and more theoretical. Any theoretical explanation of the cavitation phenomenon is rather difficult, but the authors have succeeded in explaining it very well, and a reader can follow the equations easily. It is an advantage in reading this book to have some understanding of the physics of cavitation. Therefore, this book is not an introductory text, but a book for more advanced study. However, this does not mean that this book is too difficult for a beginner, because it explains the cavitation phenomenon using many figures. Therefore, even a beginner on cavitation can read and can understand what cavitation is.
Fundamentals of Cancer Prevention ; 2nd ed.
An authoritative work that provides a detailed review of the current status of cancer prevention and control practice and research. This volume is an essential reference guide and tool for primary care physicians, the research community and students.
Fundamentals of Cancer Prevention ; 1st ed.
An authoritative work that provides a detailed review of the current status of practice and research in cancer prevention and control – an essential reference guide and tool for primary care physicians, the research community and students. Written as a collaborative work by the faculty of the nationally-renowned Cancer Prevention and Control Program at the Arizona Cancer Center, this book harnesses the expertise of researchers, investigators and clinicians in cancer prevention and control, to provide insights into this field for the benefit of nonspecialists.
Fundamentals of Cancer Detection, Treatment, and Prevention
The book offers a comprehensive overview of cancer in humans, from its causes, symptoms, and diagnosis to the variety of treatment options available today. Intuitively organized by cancer type, this guide provides concise information on risk factors, diagnosis, and treatment options for all commonly encountered tumors, including surgery, radiation therapy, chemotherapy, and immunotherapy.
Fundamentals of building performance simulation
Pares the theory and practice of a multi-disciplinary field to the essentials for classroom learning and real-world applications. Authored by a veteran educator and researcher, this textbook equips graduate students and emerging and established professionals in engineering and architecture to predict and optimize buildings’ energy use. It employs an innovative pedagogical approach, introducing new concepts and skills through previously mastered ones and deepening understanding of familiar themes by means of new material. Covering topics from indoor airflow to the effects of the weather, the book’s 19 chapters empower learners to: Understand the models and assumptions underlying popular BPS tools ; Compare models, simulations, and modelling tools and make appropriate selections ; Recognize the effects of modelling choices and input data on simulation predictions
Fundamentals of building construction : Materials and methods
Reference for thousands of professionals and students of architecture, engineering, and construction technology for over thirty years. The materials and methods described in this new seventh edition have been thoroughly updated to reflect the latest advancements in the industry. Carefully selected and logically arranged topics-ranging from basic building methods to the principles of structure and enclosure-help readers gain a working knowledge of the field in an enjoyable, easy-to-understand manner. All major construction systems, including light wood frame, mass timber, masonry, steel frame, light gauge steel, and reinforced concrete construction, are addressed. Now in its seventh edition, Fundamentals of building construction contains substantial revisions and updates.
Fundamentals of Artificial Intelligence
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Fundamentals of anatomy and physiology of speech, language, and hearing
Each topic is explored in bullet-point form with augmentative paragraph information, in-depth box features, and detailed illustrations. High-resolution Anatomage virtual dissection table figures derived from real cadavers offer an unparalleled glimpse into the anatomical structures of the human body, featuring true-to-life colors and an impressive level of detail. Topics explored include respiration, phonation, articulation, swallowing, resonance, hearing, balance, neuroanatomy, and neurophysiology.
Fundamentals of analytical toxicology : Clinical and forensic ; 2nd ed.
An integrated introduction to the analysis of drugs, poisons, and other foreign compounds in biological and related specimens. Assuming only basic knowledge of analytical chemistry, this invaluable guide helps trainee analytical toxicologists understand the principles and practical skills involved in detecting, identifying, and measuring a broad range of compounds in various biological samples. Clear, easy-to-read chapters provide detailed information on topics including sample collection and preparation, spectrophotometric and luminescence techniques, liquid and gas-liquid chromatography, and mass spectrometry including hyphenated techniques. Focuses on analytical, statistical, and pharmacokinetic principles / Describes basic methodology, including colour tests and immunoassay and enzyme-based assays / Outlines laboratory operations, such as method validation, quality assessment, staff training, and laboratory accreditation / Follows IUPAC nomenclature for chemical names and recommended International Non-proprietary Name (rINN) for drugs and pesticides / Includes discussion of 'designer drugs' (novel pharmaceutical substances NPS)
Fundamentals of analytical chemistry ; 10th ed.
Presents the latest developments in analytical chemistry today using a reader-friendly yet systematic and thorough approach. Each chapter begins with a compelling story and stunning visuals. Dynamic photos from renowned chemistry photographer Charlie Winters capture attention while reinforcing key principles. New features highlight chemistry-related careers. You also learn how to use Excel 2019 as a problem-solving tool in analytical chemistry with new exercises, examples and a no-cost supplement by the text authors. OWLv2 online homework tool is also available to help you master the principles of analytical chemistry today.
Fundamentals of Algebraic Graph Transformation
Graphs are widely used to represent structural information in the form of objects and connections between them. Graph transformation is the rule-based manipulation of graphs, an increasingly important concept in computer science and related fields. This is the first textbook treatment of the algebraic approach to graph transformation, based on algebraic structures and category theory.
Fundamentals of airplane flight mechanics
Airplane flight mechanics is the application of Newton's laws to the study of airplane trajectories (performance), stability, and aerodynamic control. This text is limited to flight in a vertical plane and is divided into two parts. The first part, trajectory analysis, is concerned primarily with the derivation of analytical solutions of trajectory problems associated with the sizing of commercial jets, that is, take-off, climb, cruise, descent, and landing, including trajectory optimization. The second part, stability and control, is further classified as static or dynamic. On each iteration of airplane sizing, the center of gravity is placed so that the airplane is statically stable. Dynamic stability and control is included to study the response of an airplane to control and gust inputs, which is needed for the design of automatic flight control systems. Algorithms are presented for estimating lift, drag, pitching moment, and stability derivatives.
Fundamentals in Nuclear Physics : From Nuclear Structure to Cosmology
Explores nuclear physics and its applications ranging from the structure of nuclei and their reactions, to astrophysics and cosmology. The physics is introduced with arguments based on simple ideas such as the empirical structure of nuclear forces and its interplay with the Pauli principle and Coulomb repulsion. The book then develops elementary nuclear models and illustrates nuclear systematics with experimental data. Reactions and decays are discussed both phenomenologically and from the point of view of fundamental electro-weak interaction theory. The discussions of fission and fusion emphasize nuclear energy production. This leads directly into nuclear astrophysics and nucleosynthesis. The book ends with a presentation of the latest ideas about cosmology. As a primer this course will lay the foundations for more specialized subjects within the vast domain of nuclear physics as a whole. This book emerged from a series of topical courses the authors delivered at the Ecole Polytechnique and will be useful for advanced undergraduates and for scientists in a variety of fields.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Fundamental Numerical Methods for Electrical Engineering
The book presents fundamental numerical methods which are most frequently applied in the electrical (electronic) engineering. All methods discussed are illustrated with real-world examples of applications. It is shown how real engineering questions can be transformed into the corresponding mathematical problems and next effectively solved by using appropriate numerical methods.
Fundamental networking in Java
This book is an in-depth learning and teaching resource for the understanding and programming of TCP/IP networking in Java. It covers 'everything you can do to a socket in Java' and explains when and why you might - or might not - want to do that. The book covers TCP and UDP using both blocking streams and non-blocking channels, and also SSL secure sockets in both blocking and non-blocking modes, unravelling the mysteries of the SSLEngine in the process. Particular attention is paid to the neglected topics of multi-homing and multicast. A unique chapter on client and server architectures uses a quantitative approach rather than the usual design-patterns approach, leading to architectures with predictable performance rather than just coding elegance.
