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Depressive Disorders: Mechanisms, Measurement and Management
This book offers a state-of-the-art report on recent discoveries concerning the basic and clinical, neuroscientific and psychiatric findings in depression research. Depressive disorder is a severe and recurrent brain disorder that can manifest in depressive mood, somatic symptoms and cognitive impairment. The underlying mechanisms of depressive disorder and its clinical practice are subjects of long-standing interests. This book is a biologically plausible and multilevel theory which describes neural, physiological, molecular and genomic mechanisms that drive depression pathogenesis, as well as navigates the clinical practice and management for depressive disorder. It mainly describes advances made over the past 20 years on the neural, molecular, neuroimaging, physiology, pathophysiology, pharmacology and internet-based measurement and management of depressive disorder. It will help postgraduate students and academic researchers to get either basic or clinical picture of depressive disorder. Also, it may benefit pharmaceutical companies for developing novel drugs to treat this disease.
Neuroscience for Artificial Intelligence
The ongoing boom of applications for artificial intelligence (AI) is based on algorithms that were inspired by neuroscience discoveries in the 1960s. This is a timely book to introduce the new discoveries and ideas in neuroscience, for the next wave of more powerful AI. AI researchers are all interested in the human brain, which is more capable and energy-efficient, but do not have good reading materials from the rather separate subfields of neuroscience, all with plenty of jargons. Based on hundreds of publications from top journals, the book fills in the gap between existing computational hardware/algorithms and emerging knowledge from neuroscience.
Dynamic Functional Connectivity in Neuropsychiatric Disorders: Methods and Applications, volume II
Neuropsychiatric disorders have a huge impact on individuals, families and societies. However, the neuropathology underlying cognitive deficits in neuropsychiatric disorders remains unclear. Resting-state functional connectivity provides a powerful way to investigate functional alterations underlying cognitive deficits in neuropsychiatric disorders. Traditional FC analysis measures the correlations of signals with an assumption that functional connectivity remains constant during the observation period. In recent years, several studies have demonstrated the feasibility of dynamic methods in characterization of functional brain changes, such as dynamic functional connectivity investigated by a sliding window method. However, selection of window size, window stepsize and window type are open areas of research and an important parameter to capture the resting-state FC dynamics.
The Chinese Filmography
From A to Z, Abandon Superstitions (1958; Po Chu Mi Xing in Chinese) to Zuo Wenjun and Sima Xiangru (1984; Zuo Wen Jun Ahe Si Ma Xiang Ru), this comprehensive reference work provides filmographic data on 2,444 Chinese features released since the formation of the People's Republic of China. The films reflect the shifting dynamics of the Chinese film industry, from sweeping epics to unabashedly political docudramas, although straight documentaries are excluded from the current work. The entries include the title in English, the Chinese title (in Pinyin romanization with each syllable noted separately for clarity), year of release, studio, technical information (e.g., black and white or color, letterboxed or widescreen), length, technical credits, literary source (when applicable), cast, plot summary, and awards won.
