Publish in OALib Journal
APC: Only $99
Objective: China mainland and Taiwan are separated by the Taiwan Strait, but their land edges are close to each other, blood relationship is very compact, and the origin is profound, the communication of Traditional Chinese Medicine (TCM) between China mainland especially Fujian and Taiwan district is more and more frequent. From the actuality and situation of traditional Chinese medicine and pharmacy (TCMP), the objective of this study was to briefly expound the points to which attention should be attached urgently in education, research and development of TCM between China mainland especially between Fujian and Taiwan, and be provide with several resolving threads and recommenddations to aim directly at the attention points, and wish it can offer some assistance to the development and generalization of the cross-Strait TCMP. Methods: The China Statistical Yearbook of Chinese Medicine (1987-2010), the Yearbook of Public Health of Taiwan (2009), the full-text data base of China National Knowledge Infrastructure (CNKI) (1993-2009), provides information on research and education in TCMP acrossTaiwan Straitin the last 10 years. The methods of analysis and comparison are applied in this study to show the TCMP situation betweenTaiwanandChinamainland. Result: Due to the differences in history, district, policy and legislation, the TCMP’s industry and trade, education, research and exploitation, standard and so on, have lots of differences betweenTaiwanandChinamainland, and many barriers are produced in the communication and cooperation of cross-Strait
Strong law of large numbers is a fundamental theory in probability and statistics. When the measure tool is nonadditive, this law is very different from additive case. In 2010 Chen investigated the strong law of large numbers under upper probabilityVby assumingVis continuous. This assumption is very strong. Upper probabilities may not be continuous. In this paper we prove the strong law of large numbers for an upper probability without the continuity assumption whereby random variables are quasi-continuous and the upper probability is generated by a weakly compact family of probabilities on a complete and separable metric sample space.