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Mental Health, Epidemiology and Machine Learning
Mental health disorders are underlain by a wide diversity of influencing factors, and they exert their impact across multiple domains in a patient's life. As such, mental health research has greatly benefited from the proliferation of large and diverse databanks with many and new types of data, often covering a large sample of or even whole populations. However, traditional epidemiological and statistical techniques have proven to be insufficient to tackle the complexity of mental illness. While such data have spurred important advances in the area of mental health, they have also introduced new limitations that risk stalling progress. In this context, machine learning provides, in theory, n...
I Have PTSD
Counselor and trauma expert Curtis Solomon helps those who have suffered the disorienting effects of a traumatic experience to reorient their lives to the path God has for them.
The Rise of the Chinese Empire: Nation, state, & imperialism in early China, ca. 1600 B.C.-A.D. 8
A comprehensive reconstruction of ancient and early Imperial Chinese history based on literary and archaeological texts, and over 60,000 Han-time documents on bamboo, wood, and silk
What Works in Conservation 2021
Does the creation of artificial reefs benefit subtidal benthic invertebrates? Is the use of organic farming instead of conventional farming beneficial to bat conservation? Does installing wildlife warning reflectors along roads benefit mammal conservation? Does the installation of exclusion and/or escape devices on fishing nets benefit marine and freshwater mammal conservation? What Works in Conservation has been created to provide practitioners with answers to these and many other questions about practical conservation. This book provides an assessment of the effectiveness of 2526 conservation interventions based on summarized scientific evidence. The 2021 edition containssubstantial new ma...
Li Ao
Neo-Confucianism, the state sponsored orthodoxy of China's later empires, is now recognized as an important key to understanding China. This study looks at the roots of Neo-Confucianism in an age when Buddhism and Taoism had eclipsed the Confucian tradition in importance. Li Ao (c. 772-836 A.D.), though generally acknowledged as a forerunner of Neo-Confucianism, is still regarded as deeply influenced by Buddhism. The historical reasons for the creation of this image of Li Ao are examined, prior to a close investigation of the actual circumstances which shaped his Fu-hsing shu, 'Book of Returning to One's True Nature,' the essay which had the deepest influence on the development of early Neo-Confucianism. Although common assumptions about Buddhist influence on Li Ao are questioned, the true importance of the essay emerges in the typically Chinese patterns of thought which it exhibits and which gave it an impact transcending the immediate circumstances that prompted its writing. Li Ao is an important contribution for academics and students interested in East Asian history and thought and religious studies, especially Buddhist studies.
