This best-selling, eminently practical, evidence-based guide to the cognitive behavioural approach to counselling has now been substantially revised and updated to reflect current theoretical and practical developments in the CBT field. The second edition contains an expanded step-by-step guide to the process of counselling, from initial contact with the client to termination. The guide follows a skills-based format and new case studies illustrate the theory into practice. Drawing on their own extensive experience and contemporary research, the authors provide a concise overview of the cognitive behavioural approach, with new material on emotional problems rarely covered in practitioner guides, a strong emphasis on the therapeutic alliance, and updated bibliographic references throughout.
The first comprehensive study of the challenges faced by children in establishing entitlement to refugee protection. This book, which draws extensively on national case law from the United States, the United Kingdom, Canada, New Zealand and Australia, will be an invaluable resource for any academic, decision-maker or practitioner working in the area.
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.
Ecosystem-based fishery management (EBFM) is rapidly becoming the default approach in global fisheries management. The clarity of what EBFM means is sharpening each year and there is now a real need to evaluate progress and assess the effectiveness and impacts. By examining a suite of over 90 indicators (including socioeconomic, governance, environmental forcing, major pressures, systems ecology, and fisheries criteria) for 9 major US fishery ecosystem jurisdictions, the authors systematically track the progress the country has made towards advancing EBFM and making it an operational reality. The assessment covers a wide range of data in both time (multiple decades) and space (from the tropics to the poles, representing over 10% of the world's ocean surface area). The authors view progress towards the implementation of EBFM as synonymous with improved management of living marine resources in general, and highlight the findings from a national perspective. Although US-centric, the lessons learned are directly applicable for all parts of the global ocean. Much work remains, but significant progress has already been made to better address many of the challenges facing the sustainable management of our living marine resources. This is an essential and accessible reference for all fisheries professionals who are currently practicing, or progressing towards, ecosystem-based fisheries management. It will also be of relevance and use to researchers, teachers, managers, and graduate students in marine ecology, fisheries biology, biological oceanography, global change biology, conservation biology, and marine resource management.
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