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'The book covers a wide range of topics related to tourism, including environmental sustainability, destination planning, cultural heritage, leadership, technological impact, and health concerns, among others. The content of the book includes case studies and research from various countries and regions, providing a global perspective on tourism challenges, advances, and opportunities. Several chapters focus on sustainable tourism, addressing the contradictions and challenges of nature-based tourism. It also explores the potential of tourism in diversifying rural livelihoods and developing rural tourism destination brands using relationship-based approaches. The book delves into marketing cultural resources as tourism products and highlights eco-cultural tourism's significance in promoting natural and cultural heritage. The book serves as a valuable resource for anyone interested in the in various aspects of tourism, students pursuing degrees in tourism or related fields can use the book as a comprehensive reference for coursework and research projects.'

'In mental health care, artificial intelligence (AI) tools can enhance diagnostic accuracy, personalize treatment plans, and provide support through virtual therapy and chatbots that offer real-time assistance. These technologies can help identify early signs of mental health issues by analyzing patterns in speech, behavior, and physiological data. However, the integration of AI also raises concerns about privacy, data security, and the potential for algorithmic bias, which could impact quality of care. As AI continues to evolve, its role in psychological well-being and healthcare will depend on addressing these ethical and practical considerations while harnessing its potential to improve mental health outcomes and streamline healthcare delivery. AI Technologies and Advancements for Psychological Well-Being and Healthcare discusses the latest innovations in AI that are transforming the landscape of mental health and healthcare services. This book explores how AI applications, such as machine learning algorithms and natural language processing, are enhancing diagnostic accuracy, personalizing treatment options, and improving patient outcomes. Covering topics such as behavioral artificial intelligence, medical diagnosis, and precision medicine, this book is an excellent resource for mental health professionals, healthcare providers and administrators, AI and data scientists, academicians, researchers, healthcare policymakers, and more.'--