Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks: Real-time Applications

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DESCRIPTION SMART AND SUSTAINABLE APPROACHES FOR OPTIMIZING PERFORMANCE OF WIRELESS NETWORK Explores the intersection of sustainable growth, green computing and automation, and performance optimization of 5G wireless networks Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks explores how wireless sensing applications, green computing, and Big Data analytics can increase the energy efficiency and environmental sustainability of real-time applications across areas such as healthcare, agriculture, construction, and manufacturing. Bringing together an international team of expert contributors, this authoritative volume highlights the limitations of conventional technologies and provides methodologies and approaches for addressing Quality of Service (QOS) issues and optimizing network performance. In-depth chapters cover topics including blockchain-assisted secure data sharing, smart 5G Internet of Things (IoT) scenarios, intelligent management of ad hoc networks, and the use of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) techniques in smart healthcare, smart manufacturing, and smart agriculture. Covers design, implementation, optimization, and sustainability of wireless and sensor-based networks Discusses concepts of sustainability and green computing as well as their relevance to society and the environment Addresses green automation applications in various disciplines such as computer science, nanoscience, information technology (IT), and biochemistry Explores various smart and sustainable approaches for current wireless and sensor-based networks Includes detailed case studies of current methodologies, applications, and implementations Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks: Real-time Applications is an essential resource for academic researchers and industry professionals working to integrate sustainable development and Information and Communications Technology (ICT).

Therapeutic Applications of Dopamine D3 Receptor Function (1版)

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The CTBN volume Therapeutic Applications of Dopamine D3 Receptor Function reviews the state of the knowledge on the dopamine D3 receptor and its role in human behavior and disease (i.e.: neuropsychiatric illnesses including schizophrenia, mood disorders, Parkinson’s disease, restless legs syndrome, addictions and substance use disorders). The volume is written by leading experts across multidisciplinary areas (imaging, biobehavioral testing and clinical trials, preclinical models / molecular pharmacology) converging on the therapeutic implications / potential of the D3 receptor. The D3 dopamine receptor is a member of the D2-like family of G protein-coupled receptors. It was cloned and characterized almost 25 years ago. A key feature of the D3 dopamine receptor system, which has attracted considerable attention, is its anatomical localization remarkably restricted to the limbic circuitry. This has spurred the hypothesis that D3 involvement could contribute to the pathophysiology of neuropsychiatric disorders (or to some features of neuropsychiatric disorders), including but not limited to psychosis, addictions and substance abuse, mood and movement disorders.