This book offers a comprehensive overview of recent COVID-19 associated challenges posed in relation to mental health and well-being. An understanding of the topics covered in the book is essential in the context of designing strategies to protect our mental health and well-being from further harm due to the pandemic. Not only can professionals in the fields of psychiatry, counselling and education benefit from this book but so can the public and private sectors and the general public.
A one-of-a-kind survey of the field of Reconfigurable Computing Gives a comprehensive introduction to a discipline that offers a 10X-100X acceleration of algorithms over microprocessors Discusses the impact of reconfigurable hardware on a wide range of applications: signal and image processing, network security, bioinformatics, and supercomputing Includes the history of the field as well as recent advances Includes an extensive bibliography of primary sources
NEW! Full-color design makes content more vivid. NEW! Expanded clinical content offers a clearer understanding of structure and function. NEW! Video clips and clinical photos provide a clear demonstration of palpation techniques.
Substantially revised to include a wealth of new material, the second edition of this highly acclaimed work provides a concise, coherent introduction that brings structure to an increasingly fragmented and amorphous discipline. Paul R. McHugh and Phillip R. Slavney offer an approach that emphasizes psychiatry's unifying concepts while accommodating its diversity. Recognizing that there may never be a single, all-encompassing theory, the book distills psychiatric practice into four explanatory methods: diseases, dimensions of personality, goal-directed behaviors, and life stories. These perspectives, argue the authors, underlie the principles and practice of all psychiatry. With an understanding of these fundamental methods, readers will be equipped to organize and evaluate psychiatric information and to develop a confident approach to practice and research.
Exam Board: OCR Level: A-level Subject: Sociology First Teaching: September 2015 First Exam: June 2017 Build students' confidence to tackle the key themes of the 2015 OCR A-Level Sociology specification with this clear and accessible approach delivered by a team of leading subject authors. - Develop knowledge and understanding of key Year 2 concepts in a contemporary context, including globalisation and the digital social world - Strengthen essential sociological skills with engaging activities at every stage of the course - Reinforce learning and prepare for exams with practice and extension questions and exercises
Reconfigurable circuit devices have opened up a fundamentally new way of creating adaptable systems. Combined with artificial evolution, reconfigurable circuits allow an elegant adaptation approach to compensating for changes in the distribution of input data, computational resource errors, and variations in resource requirements. Referred to as "Evolvable Hardware" (EHW), this paradigm has yielded astonishing results for traditional engineering challenges and has discovered intriguing design principles, which have not yet been seen in conventional engineering. In this thesis, we present new and fundamental work on Evolvable Hardware motivated by the insight that Evolvable Hardware needs to compensate for events with different change rates. To solve the challenge of different adaptation speeds, we propose a unified adaptation approach based on multi-objective evolution, evolving and propagating candidate solutions that are diverse in objectives that may experience radical changes. Focusing on algorithmic aspects, we enable Cartesian Genetic Programming (CGP) model, which we are using to encode Boolean circuits, for multi-objective optimization by introducing a meaningful recombination operator. We improve the scalability of CGP by objectives scaling, periodization of local- and global-search algorithms, and the automatic acquisition and reuse of subfunctions using age- and cone-based techniques. We validate our methods on the applications of adaptation of hardware classifiers to resource changes, recognition of muscular signals for prosthesis control and optimization of processor caches.
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