Yinyang Bipolar Relativity A Unifying Theory Of Nature Agents And Causality With Applications In Quantum Computing Cognitive Informatics And Life Sciences

YinYang bipolar relativity can trace its philosophical origins to ancient Chinese YinYang cosmology, which claims that everything has two sides or two opposite, but reciprocal, poles or energies. More specifically, this discipline is intended to be a logical unification of general relativity and quantum mechanics. YinYang Bipolar Relativity: A Unifying Theory of Nature, Agents and Causality with Applications in Quantum Computing, Cognitive Informatics and Life Sciences presents real-world applications of YinYang bipolar relativity that focus on quantum computing and agent interaction. This unique work makes complex theoretical topics, such as the ubiquitous effects of quantum entanglement, logically comprehendible to a vast audience.

This book presents a new agency paradigm that can resolve complex socio-political situations in cross-cultural environments.

There are many different approaches to understanding human consciousness. By conducting research to better understand various biological mechanisms, these can be redefined and utilized for technological purposes. Advanced Research on Biologically Inspired Cognitive Architectures is an essential reference source for the latest scholarly research on the biological elements of human cognition and examines the applications of consciousness within computing environments. Featuring exhaustive coverage on a broad range of innovative topics and perspectives, such as artificial intelligence, bio-robotics, and human-computer interaction, this publication is ideally designed for academics, researchers, professionals, graduate students, and practitioners seeking current research on the exploration of the intricacies of consciousness and different approaches of perception.

This monograph discusses decision making methods under bipolar fuzzy graphical models with the aim of overcoming the lack of mathematical approach towards bipolar information—positive and negative. It investigates the properties of bipolar fuzzy graphs, their distance functions, and concept of their isomorphism. It presents certain notions, including irregular bipolar fuzzy graphs, domination in bipolar fuzzy graphs, bipolar fuzzy circuits, energy in bipolar fuzzy graphs, bipolar single-valued neutrosophic competition graphs, and bipolar neutrosophic graph structures. This book also presents the applications of mentioned concepts to real-world problems in areas of product manufacturing, international relations, psychology, global terrorism and more, making it valuable for researchers, computer scientists, social scientists and alike.

In real applications, most decisions are fuzzy decisions, and the decision results mainly depend on the choice of aggregation operators. In order to aggregate information more scientifically and reasonably, the Heronian mean operator was studied in this paper.

The medical profession requires extensive training and preparation in order to ensure the success and competency of future doctors and healthcare professionals. With an emphasis on professional development and medical education, current professionals in this field acknowledge the importance of residency programs and training in the professional development of future doctors. Optimizing Medicine Residency Training Programs presents a comprehensive overview of chapters ranging from the history of medicine to opportunities and research for further exploration geared toward the professional development and medical training for the next generation of doctors and healthcare professionals. This publication is an essential reference source for academicians, practitioners, and professionals interested in the education and training of modern medical professionals.

The unprecedented economic growth in many East Asian societies in the few past decades have placed the region center stage, and increasing globalization have made East-West cultural understanding of even greater importance today. This book is the most comprehensive on East Asian cognition and thinking styles to date, and is the first to bring together a large body of empirical research on "naïve dialecticism" (Peng & Nisbett, 1999; Peng, Spencer-Rodgers, & Nian, 2006) and "analytic/holistic thinking" (Nisbett, 2003), theories in cultural psychology that stem from Richard Nisbett's (2003) highly influential and successful book on The Geography of Thought: How Asians and Westerners Think Differently ... and Why. More specifically, the current book examines the psychological, philosophical, and cultural underpinnings and consequences of "dialectical thinking" (Peng & Nisbett, 1999) and cognitive holism (Nisbett, 2003) for human thought, emotion, and behaviour. Since the publication of Peng and Nisbett's (1999) seminal article, research on this topic has flourished, and East-West cultural differences have been documented in almost all aspects of the human condition and life, from the manner in which people reason and make decisions, conceptualize themselves and others, to how they cope with stress and mental illness, and interact with others, including romantic partners and social groups. Twenty-one chapters written by leading experts in psychology and related fields cover such diverse topics as cultural neuroscience and the brain, lifespan development, attitudes and group perception, romantic relationships, extracultural cognition (the adoption of foreign mind-sets and perspectives), creativity, emotion, the self-concept, racial/ethnic identity, psychopathology, and coping processes and wellbeing. This research has practical implications for business and organizational management, international relations and politics, education, and clinical and counselling psychology, and may be of particular interest to business professionals, managers in government and non-profit sectors, as well as educators and clinicians working with East Asians and Americans of East Asian descent.

Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.