Mental health has been a growing concern in society but recently has further come to light due to the COVID-19 pandemic and its effects on societal well-being. With mental health issues such as depression on the rise, professionals need to implement new techniques that are effective in reducing psychological problems and enhancing psychological well-being. The integration of meditation and mindfulness techniques presents new methods for providing psychological intervention to alleviate psychological distress. Clinical Applications of Meditation and Mindfulness-Based Interventions in Mental Health presents mindfulness-based interventions in clinical and non-clinical conditions. This book disseminates evidence-based practices in the area of meditation and mindfulness to mental health professionals for the advancement of the mental health discipline and the benefit of students and trainees. Covering topics including mindful parenting, mediation, trauma-informed work, and psychological trauma recovery, this book is essential for mental health practitioners, therapists, psychologists, counselors, meditation specialists, professionals, students, researchers, and academicians.

Communication is a key component of everyday life, but what happens when an individual is faced with a communication disorder? Today, the prevalence of individuals with communication disorders has increased substantially. However, many of these ailments are poorly understood, and medical professionals often lack the training and research necessary to manage and treat these individuals. The Handbook of Research on Psychosocial Perspectives of Human Communication Disorders is a critical scholarly resource that covers needs-based issues pertaining to the assessment and management of communication disorders. It provides the latest research on the importance of early identification, as well as prevention and intervention practices to promote healthy cognitive, speech, language, motor, social, and emotional development. Featuring coverage on a broad range of topics such as speech therapy for children, behavior therapy, and communication disorders, this book is a vital reference source for clinical psychologists, audiologists, speech-language pathologists, special education teachers, occupational therapists, physiotherapists, physiatrists, otolaryngologists, and neurologists.

Neurodevelopmental disorders encompass a group of conditions that can typically manifest during early childhood. These include intellectual disabilities, communication disorders, autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), specific learning disorder (SLD), and motor disorders. Early identification and assessment can be a valuable tool in determining diagnosis, prognosis, functional abilities, and formulating clinical intervention for both children and adults with neurodevelopmental disorders. Emerging Trends in the Diagnosis and Intervention of Neurodevelopmental Disorders is an essential reference source that discusses and disseminates contributions covering recent trends in diagnosis, assessment, and intervention techniques. Featuring research on topics such as clinical linguistics, neural connectivity, and animal-assisted therapy, this book is ideally designed for speech pathologists, social workers, occupational therapists, psychologists, psychiatrists, neurologists, pediatricians, researchers, clinicians, and academicians seeking coverage on neural and developmental disorder identification and strategies for clinician support and therapies.

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation