"This book is a user-friendly, real-world guide to assessing and managing any type of wound. The author presents vital information for nurses and nursing students who provide wound care in any setting...a wonderful resource for nurses."--The AORN Journal (Association of Perioperative Registered Nurses)
"Wound care is arguably the single most difficult topic in medicine. It has no defined solution like insulin for the diabetic...no easy strategy that covers all wounds...we are so tremendously blessed when a wound care specialist] like Zelia carves out time to capture a career of experiences in text so that it can be shared with others. We are indebted to her for making this important contribution to the clinician's armament for dealing with the] difficult-to-heal wounds of their patients."-- Bruce Gibbins, PhD Founder, Chief Technical Officer and Chairman of the Board of AcryMed, Inc. Former faculty at the University of Otago Medical School
Using the concise, compact Fast Facts format, this guide encompasses the multitude of new healing technologies and presents important breakthroughs in understanding why some wounds don't heal. Each chapter builds, step-by-step, on the essential principles of wound care including wound assessment and documentation, the spectrum of wounds from simple to complex, wound treatment guidelines and protocols, and the legal aspects and regulations surrounding wound care. This user-friendly guide organizes the vast amount of information relating to wound care products and eases the complexity of wound management.
A Fast Facts in a Nutshell section in each chapter provides quick access to important wound care principles, and bullet-point information and tables enable readers to quickly locate relevant information. This guide will be a useful companion in the day-to-day care of wound patients, reinforcing knowledge needed in all practice settings, including acute care, critical care, long-term care, home care, operating room, and outpatient settings.
Key Features:
Organizes and simplifies a vast amount of wound care information into a compact, user-friendly format
Addresses wound care assessment, protocol, and treatment of the spectrum of wounds from simple to complex for all levels of practitioners
Encompasses new healing technologies and information regarding difficult-to-heal wounds
Presents comprehensive wound care algorithms, dressings, debridement procedures, ostomy care, optimal surface and equipment for wound patients, and adjunctive therapies
Автор: Kifer Michael, Liu Yanhong Annie Название: Declarative Logic Programming: Theory, Systems, and Applications ISBN: 1970001968 ISBN-13(EAN): 9781970001969 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 85730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The idea of this book grew out of a symposium that was held at Stony Brook in September 2012 in celebration of David S.Warren's fundamental contributions to Computer Science and the area of Logic Programming in particular.Logic Programming (LP) is at the nexus of Knowledge Representation, Artificial Intelligence, Mathematical Logic, Databases, and Programming Languages. It is fascinating and intellectually stimulating due to the fundamental interplay among theory, systems, and applications brought about by logic. Logic programs are more declarative in the sense that they strive to be logical specifications of ""what"" to do rather than ""how"" to do it, and thus they are high-level and easier to understand and maintain. Yet, without being given an actual algorithm, LP systems implement the logical specifications automatically.Several books cover the basics of LP but focus mostly on the Prolog language with its incomplete control strategy and non-logical features. At the same time, there is generally a lack of accessible yet comprehensive collections of articles covering the key aspects in declarative LP. These aspects include, among others, well-founded vs. stable model semantics for negation, constraints, object-oriented LP, updates, probabilistic LP, and evaluation methods, including top-down vs. bottom-up, and tabling.For systems, the situation is even less satisfactory, lacking accessible literature that can help train the new crop of developers, practitioners, and researchers. There are a few guides onWarren’s Abstract Machine (WAM), which underlies most implementations of Prolog, but very little exists on what is needed for constructing a state-of-the-art declarative LP inference engine. Contrast this with the literature on, say, Compilers, where one can first study a book on the general principles and algorithms and then dive in the particulars of a specific compiler. Such resources greatly facilitate the ability to start making meaningful contributions quickly. There is also a dearth of articles about systems that support truly declarative languages, especially those that tie into first-order logic, mathematical programming, and constraint solving.LP helps solve challenging problems in a wide range of application areas, but in-depth analysis of their connection with LP language abstractions and LP implementation methods is lacking. Also, rare are surveys of challenging application areas of LP, such as Bioinformatics, Natural Language Processing, Verification, and Planning.The goal of this book is to help fill in the previously mentioned void in the LP literature. It offers a number of overviews on key aspects of LP that are suitable for researchers and practitioners as well as graduate students. The following chapters in theory, systems, and applications of LP are included.
Автор: Kifer Michael, Liu Yanhong Annie Название: Declarative Logic Programming: Theory, Systems, and Applications ISBN: 1970001992 ISBN-13(EAN): 9781970001990 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 103210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The idea of this book grew out of a symposium that was held at Stony Brook in September 2012 in celebration of David S.Warren's fundamental contributions to Computer Science and the area of Logic Programming in particular.Logic Programming (LP) is at the nexus of Knowledge Representation, Artificial Intelligence, Mathematical Logic, Databases, and Programming Languages. It is fascinating and intellectually stimulating due to the fundamental interplay among theory, systems, and applications brought about by logic. Logic programs are more declarative in the sense that they strive to be logical specifications of ""what"" to do rather than ""how"" to do it, and thus they are high-level and easier to understand and maintain. Yet, without being given an actual algorithm, LP systems implement the logical specifications automatically.Several books cover the basics of LP but focus mostly on the Prolog language with its incomplete control strategy and non-logical features. At the same time, there is generally a lack of accessible yet comprehensive collections of articles covering the key aspects in declarative LP. These aspects include, among others, well-founded vs. stable model semantics for negation, constraints, object-oriented LP, updates, probabilistic LP, and evaluation methods, including top-down vs. bottom-up, and tabling.For systems, the situation is even less satisfactory, lacking accessible literature that can help train the new crop of developers, practitioners, and researchers. There are a few guides onWarren’s Abstract Machine (WAM), which underlies most implementations of Prolog, but very little exists on what is needed for constructing a state-of-the-art declarative LP inference engine. Contrast this with the literature on, say, Compilers, where one can first study a book on the general principles and algorithms and then dive in the particulars of a specific compiler. Such resources greatly facilitate the ability to start making meaningful contributions quickly. There is also a dearth of articles about systems that support truly declarative languages, especially those that tie into first-order logic, mathematical programming, and constraint solving.LP helps solve challenging problems in a wide range of application areas, but in-depth analysis of their connection with LP language abstractions and LP implementation methods is lacking. Also, rare are surveys of challenging application areas of LP, such as Bioinformatics, Natural Language Processing, Verification, and Planning.The goal of this book is to help fill in the previously mentioned void in the LP literature. It offers a number of overviews on key aspects of LP that are suitable for researchers and practitioners as well as graduate students. The following chapters in theory, systems, and applications of LP are included.
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