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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.
This book on medical biotechnology offers a wide array of topics and cutting-edge research in the field featuring contributions from multiple authors, each specializing in their respective areas, making it highly valuable to science students and enthusiasts. The book provides comprehensive coverage on a diverse range of topics including sequence analysis, network pharmacology, drug discovery, CRISPR-Cas technology, precision medicine, neuroimaging biomarkers, therapeutics for neurodegenerative diseases, molecular pathogenesis of various diseases, plant-derived antioxidants, genetic approaches for disease diagnosis, cancer progression, immunotherapy, cancer biomarker identification, RNA Inter...
Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before moving on to more advanced discussions of applications. The book begins with microarray data analysis, machine learning techniques, and mass...
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This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.
Thirty Years of Reform and Social Changes in China is translated from the original Chinese to provide a look into how scholars in China have been assessing their country's recent societal and political history. This volume and the others in the SSRC series, provide western scholars with an accessible English language look at the state of current scholarship in China, and as such, does not simply provide information for the direct study of socio-political issues, but also for meta-level analysis of how the domestic scholarship in China is developing and assessing the interplay of the country's political and economic reforms with the society and daily life of its people.