John P. Wilson – författare

Synthesizing insights from psychiatry, social psychology, and anthropology, Voices of Trauma: Treating Survivors across Cultures sets out a framework for therapy that is as culturally informed as it is productive. An international panel of 23 therapists offers contextual knowledge on PTSD, coping skills, and other trauma sequelae as they affect survivors of traumatic events. Case studies from Egypt to Chechnya demonstrate various therapeutic approaches (and the Cultural Formation of Diagnosis from the DSM-IV), often integrated with social agencies outside the clinical setting. Authors explore the balance of inter- and intrapersonal factors in reactions to trauma, dispel misconceptions that hinder progress in treatment, and provide profound examples of mutual trust and empathy, even how the wounded may heal the therapist.

Highlights of the coverage: Silence as a coping strategy: Sudanese refugee women; Individual and group identity, Western and non-Western healing: a Chinese woman in Hong Kong; Mother/infant psychotherapy with a Kosovar family; Trauma and the bicultural self: New York’s Dominican community and the crash of Flight 587; Why war? Why genocide? A social psychology theory of collective violence; Transference, countertransference, and supervisory issues in intercultural treatment.

Today’s political climate has made refugee mental health a growing public health issue. Voices of Trauma gives clinical and counseling psychologists, psychiatrists, psychotherapists, rescue and social workers, the tools to create healing on a global scale.

Recent advances in trauma treatment, coupled with ongoing traumatic world events, point to a critical need for global standards in assessment. But despite the best intentions of Western psychology, one model does not fit all cultures. Cross-Cultural Assessment of Psychological Trauma and PTSD addresses key issues in the field to help fill this knowledge gap. Focusing equally on theoretical concepts, culturally valid assessment methods, and cultural adaptation in trauma and resilience, 29 experts present the cutting edge of research and strategies. Extended case examples (including West Africans in Austria, Hmong in the U.S., and Aboriginal people in Australia) illustrate an informative range of symptom profiles, comorbid conditions, and coping skills, as well as secondary traumas that can occur in asylum seekers. Professional concerns are also highlighted, from training and competency issues to the challenges of translating assessment into treatment.

International Human Resource Development provides thought-provoking questions and stimulating answers to key issues in human resource development today, putting HRD in its strategic organizational context and examining in depth the process of learning from different perspectives. This third edition provides a thorough exploration of international human resource development, and has been completely updated and revised with a variety of case studies and contributions from a range of HR development experts, making it the most topical book in this field. It also addresses the increasingly important area of knowledge management, incorporating learning and development. Clearly structured and mapped against the current Chartered Institute of Personnel and Development (CIPD) standards, this comprehensive handbook covers each aspect of the training cycle, including the role and identification of learning, training and development needs in organizations, working in multicultural and multilingual settings, learning and competitive strategy, planning and design, delivering effective training programmes, assessment and evaluation, international development and managing the human resource function.

In a fast-paced and innovative world, traditional training methods can no longer be relied on to improve performance, engagement or promote behavioural change. Experience-based learning, in which the experience is central to the learning process, is more affordable, appealing and effective than ever before. Experiential Learning combines in-depth theory with international case studies from companies including KidZania, Shell and the UK National Health Service (NHS) and numerous practical tools for developing and delivering learning experiences in both for-profit and not-for-profit organizations. It presents a simple model, the Learning Combination Lock, which enables trainers, coaches, facilitators and educators to select the best strategies for their circumstances to maximize comprehension, knowledge retention and application. Essential reading for anyone designing and delivering learning experiences, it covers areas such as experiential learning activities, indoor and outdoor learning environments, creative learning, working with the senses and emotions to help promote learning, and reviewing and evaluating initiatives.In addition to featuring new international case studies and examples, this updated fourth edition of Experiential Learning contains new material on the mechanisms underpinning learning, mindfulness and wellbeing, experience and language and digital games and the design of multi-sensory experiences. Online supporting resources consist of audio files exploring sensory intelligence.

A digital elevation model (DEM) is a digital representation of ground surface topography or terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented as a raster (a grid of squares) or as a vector based triangular irregular network (TIN). DEMs are commonly built using remote sensing techniques, but they may also be built from land surveying. DEMs are used often in geographic information systems, and are the most common basis for digitally-produced relief maps. The terrain surface can be described as compromising of two different elements; random and systematic. The random (stochastic) elements are the continuous surfaces with continuously varying relief. It would take an endless number of points to describe exactly the random terrain shapes, but these can be described in practice with a network of point. It is usual to use a network that creates sloping triangles or regular quadrants.

This book examines how the methods and data sources used to generate DEMs and calculate land surface parameters have changed over the past 25 years. The primary goal is to describe the state-of-the-art for a typical digital terrain modeling workflow that starts with data capture, continues with data preprocessing and DEM generation, and concludes with the calculation of one or more primary and secondary land surface parameters. Taken as a whole, this book covers the basic theory behind the methods, the instrumentation, analysis and interpretation that are embedded in the modern digital terrain modeling workflow, the strengths and weaknesses of the various methods that the terrain analyst must choose among, typical applications of the results emanating from these terrain modeling workflows, and future directions.

This book is intended for researchers and practitioners who wish to use DEMs, land surface parameters, land surface objects and landforms in environmental projects. The book will also be valuable as a reference text for environmental scientists who are specialists in related fields and wish to integrate these kinds of digital terrain workflows and outputs into their own specialized work environments.

A digital elevation model (DEM) is a digital representation of ground surface topography or terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented as a raster (a grid of squares) or as a vector based triangular irregular network (TIN). DEMs are commonly built using remote sensing techniques, but they may also be built from land surveying. DEMs are used often in geographic information systems, and are the most common basis for digitally-produced relief maps. The terrain surface can be described as compromising of two different elements; random and systematic. The random (stochastic) elements are the continuous surfaces with continuously varying relief. It would take an endless number of points to describe exactly the random terrain shapes, but these can be described in practice with a network of point. It is usual to use a network that creates sloping triangles or regular quadrants.

This book examines how the methods and data sources used to generate DEMs and calculate land surface parameters have changed over the past 25 years. The primary goal is to describe the state-of-the-art for a typical digital terrain modeling workflow that starts with data capture, continues with data preprocessing and DEM generation, and concludes with the calculation of one or more primary and secondary land surface parameters. Taken as a whole, this book covers the basic theory behind the methods, the instrumentation, analysis and interpretation that are embedded in the modern digital terrain modeling workflow, the strengths and weaknesses of the various methods that the terrain analyst must choose among, typical applications of the results emanating from these terrain modeling workflows, and future directions.

This book is intended for researchers and practitioners who wish to use DEMs, land surface parameters, land surface objects and landforms in environmental projects. The book will also be valuable as a reference text for environmental scientists who are specialists in related fields and wish to integrate these kinds of digital terrain workflows and outputs into their own specialized work environments.