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Integrative Pharmacology-based Research on Traditional Medicine: Methodologies, Medical and Pharmacological Applications
ntegrative Pharmacology can be used to determine the multi-pharmacological effects of traditional medicines such as traditional Chinese medicine (TCM), Kampo, Sa-sang, Ayurveda, etc.). Through qualitative and quantitative pharmacokinetic-pharmacodynamic (PK-PD) correlations among multi-constituents and multi-targets, integrating chemical profiling, ADME/PK processes, molecular network calculation and resulting experimental validation, the use of Integrative Pharmacology has become widespread. The data has provided a novel paradigm to evaluate the druggability of bioactive ingredients of herbs or formulae, to decipher the pharmacological mechanisms of drug action and to screen potentially new indications for approved drugs and previously unidentified adverse events. On this basis, Integrative Pharmacology may offer an effective way to test the potential scientific basis for traditional medicines and to assess what roles of traditional medicine can and cannot play in pharmaceuticals.
China's Human Rights Lawyers
This book offers a unique insight into the role of human rights lawyers in Chinese law and politics. In her extensive account, Eva Pils shows how these practitioners are important as legal advocates for victims of injustice and how bureaucratic systems of control operate to subdue and marginalise them. The book also discusses how human rights lawyers and the social forces they work for and with challenge the system. In conditions where organised political opposition is prohibited, rights lawyers have begun to articulate and coordinate demands for legal and political change. Drawing on hundreds of anonymised conversations, the book analyses in detail human rights lawyers’ legal advocacy in ...
Rising Stars: Africa
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Machine Learning for Cyber Security
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
