Handbook of Gun Violence provides a comprehensive review of the complex world of gun violence. From its roots in epidemiology and public health to the intricacies of biopsychosocial risk factors to criminological and forensic considerations, this book offers an interdisciplinary exploration of a pressing societal issue. Sections cover everything from the history of firearm injury prevention research to the social, political, and policy implications surrounding gun violence. This book focuses on evidence-based strategies and emerging research areas, and equips readers with the knowledge needed to navigate the complexities of gun violence prevention, intervention, research, and policy. With contributions from leading experts across various fields, including scientists from the CDC and NIH, this handbook provides invaluable insights into understanding, preventing, and addressing gun violence.
A Practical Guide for Finding Interventions that Work for Autistic People: Diversity Affirming Evidence-Based Practice, second edition, provides a socially valid, culturally sensitive, and person-centered resource to aid practitioners in guiding the selection of effective interventions. By providing multiple illustrative examples, practitioners will learn to use their professional judgment to integrate the best available evidence with client values and context. The second edition includes new chapters on diversity affirmation and cultural adaptations of interventions, quality of life, self-determination, guided decision-making, and ethics as foundational skills for identifying effective, socially valid interventions that are delivered with compassion and assent/consent.
Advances in Motivation Science, Volume 10, the latest release in the Motivation Science series, contains interesting articles that cover topics such as Dissonance Motivation from an Action-Based Perspective: An Updated Review, The Bright, Dark, and Dim Light Colors of Motivation: Advances in Conceptualization and Measurement from a Self-Determination Theory Perspective, Future Self to Current Action: Integrated Review and Identity-Based Motivation Synthesis, Using Free Will Wisely: The Importance of Self-Concordant Goal Pursuit, Workplace Engagement and Motivation, and Mental Calibration: Fine Tuning the Dynamics of Mind and Action.
Written by experts and founders in the world of equine assisted services (EAS), Integrating Horses into Healing: A Comprehensive Guide to Equine Assisted Services is an all-inclusive, hands-on guide for any practitioner, researcher, or student interested in EAS. The book provides a wealth of knowledge, including perspectives from therapy and coaching practitioners, equine professionals, veterinarians, researchers, clients, board members, and founders of the EAS industry. These diverse perspectives offer a depth and insight that make this a go-to guide for EAS practitioners and researchers. The focus of the book is on the ethical incorporation of equines into different therapy modalities. The well-being of the equine as well as the practitioner team is addressed, as well as sustainability and health within a for-profit and non-profit structure.
The Therapeutic Community: Research and Practice brings together the diverse lens of these communities, illuminating and challenging current practice models and research. The book seeks to demonstrate the working collaboration between research-based and practice-based research, as well as filling the gaps for professions in behavioral health, neurobiology, corrections and workforce development. Each chapter explores how both environment and modality work together to change the quality of an individual's life. The reader is provided with a foundation and introduction to the language of 'Democratic' and 'Concept-based' TCs. This book presents case studies, protocols, fidelity measures and emerging research to help readers incorporate applications into their own practice.
**Doody’s Core Titles® 2024 in Occupational and Environmental Medicine**This third edition of Human Factors in Aviation and Aerospace is a fully updated and expanded version of the highly successful second edition. Written for the widespread aviation community including students, engineers, scientists, pilots, managers, government personnel, etc., this edition continues to offer a comprehensive overview, including pilot performance, human factors in aircraft design, and vehicles and systems. With new editors, this edition adds chapters on aviator attention and perception, accident investigations, automated systems in civil transport airplanes, and aerospace. Multicontributed by leading professionals in the field, this book is the ultimate resource for anyone in the aviation and aerospace industries.
Advances in Child Development and Behavior, Volume 63 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.
Advances in the Study of Behavior, Volume 54 highlights new advances in the field, with this new volume presenting interesting chapters on Mobbing in animals: a thorough review and proposed future directions, Learned components of courtship: a focus on gestures, choreographies and construction abilities, Sexual selection in the true bugs, and Brain-behavior relationships of cognition in vertebrates: lessons from amphibians, Pre-Copulatory and Copulatory Courtship in Male-Dimorphic Arthropods.
Advances in Motivation Science, Volume Nine, the latest release in Elsevier's serial on the topic of motivation science, contains interesting articles that cover topics such as The Relentless Pursuit of Acceptance and Belonging, Reward uncertainty and the aversion-attraction dilemma, Neurobiological Mechanisms of Selectivity in Motivated Memory, Accounting for long-term motivation and sustained motivated learning, Interest: A Unique Affective and Cognitive Motivational Variable That Develops, and Neural systems for aversively motivated behavior, Neural systems for aversively motivated behavior, and more.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health. With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field.