bout This Research Topic is the follow up to Insights in Addictive Disorders: 2021 We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Addictive Disorders. Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of Addictive Disorders, with articles from the Associate Members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Dr. Khazaal, Specialty Chief Editor of the Addictive Disorders section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Addictive Disorders. The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining, recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges. The goal of this special edition Research Topic is to shed light on the progress made in the past decade in the Addictive Disorders field, and on its future challenges to provide a thorough overview of the field. This article collection will inspire, inform and provide direction and guidance to researchers in the field. This Research Topic is the follow up to Insights in Addictive Disorders: 2021 We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Addictive Disorders.

We are all familiar with the feeling of being stuck when a problem we are faced with seems intractable and we are unable to find a solution. But sometimes, a new way of seeing the problem pops into the mind from out of the blue. The missing piece of the puzzle is found, the gap is filled, and the solution is now obvious. This is the insight experience - the Aha! Moment - which has been a source of fascination to those who study problem solving for centuries. Written by leading researchers from around the world, this volume explores cutting-edge perspectives on insight, the processes that underlie it, and the conditions that promote it. Chapters draw on key themes: from attention, to memory and learning, to evolutionary perspectives. Students and researchers in applied, cognitive, and educational psychology, as well as those studying creativity, insight, and cognitive neuroscience, will benefit from these perspectives.

The first COVID-19 case in the US was reported on January 20, 2020. As the first cases were being reported in the US, Washington State became a reliable source not just for hospital bed demand based on incidence and community spread but also for modeling the impact of skilled nursing facilities and assisted living facilities on hospital bed demand. Various hospital bed demand modeling efforts began in earnest across the United States in university settings, private consulting and health systems. Nationally, the University of Washington Institute of Health Metrics and Evaluation seemed to gain a footing and was adopted as a source for many states for its ability to predict the epidemiological curve by state, including the peak. This book therefore addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the pandemic. What is clear, at least from the US perspective, is that the healthcare system was unprepared and uncoordinated from an analytics perspective. Learning from this experience will only better prepare all healthcare systems and leaders for future crisis. Both prospectively, from a modeling perspective and retrospectively from a root cause analysis perspective, analytics provide clarity and help explain causation and data relationships. A more structured approach to teaching healthcare analytics to students, using the pandemic and the rich dataset that has been developed, provides a ready-made case study from which to learn and inform disaster planning and preparedness. The pandemic has strained the healthcare and public health systems. Researchers and practitioners must learn from this crisis to better prepare our processes for future pandemics, at minimum. Finally, government officials and policy makers can use this data to decide how best to assist the healthcare and public health systems in crisis.

We live in a digital world, where we use digital tools and smart devices to communicate over the Internet. In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data. Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers. Therefore, we need modern systems capable of handling and managing data efficiently. In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms. Some well-known emerging computing paradigms include cloud computing, fog computing, and edge computing, which have leveraged the increase in the volume of data being generated every second. However, the distributed computing paradigms face critical challenges, including network management and cyber security. We have witnessed the development of various networking models—IoT, SDN, and ICN—to support modern systems requirements. However, they are undergoing rapid changes and need special attention. The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges. Therefore, there is a significant need to develop improved network management and cyber security solutions. To this end, this book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.

Responding to the Oppression of Addiction brings together the voices of over 40 academics and social work practitioners from across Canada to provide a diverse and multidimensional perspective to the study of addiction. This thoroughly updated edition features eight new chapters and streamlines the content of the previous editions, with chapters condensed and combined to create a more accessible text. The fourth edition features new content on themes such as residential schools, prevention initiatives, special needs of different populations, policy perspectives framed within an anti-oppression standpoint, cognitive behavioral therapy, and the emerging topic of problem gambling. Returning chapters have been updated, with contributors providing more in-depth examinations of trauma-informed approaches. The entire volume has a strengthened anti-oppressive framework, on both an overarching and by-chapter level. This celebrated and varied collection is an indispensable resource for upper-level students, graduate students, and practitioners working in the fields of social work, addictions studies, and the helping professions. FEATURES: - Thoroughly updated chapter-by-chapter content grounded in an anti-oppressive framework with deeper exploration of trauma-informed approaches - Provides an authoritative analysis of the practices and policies that contribute to the construction of the meaning of addiction through a Canadian lens

This Handbook providew an overview of the state of the science behind the psychology of addiction, including psychological theories of addiction and evidence-based addiction treatment. Emphasizing a forward-looking perspective, the book highlights future directions in addiction research and treatment.

This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.