Advances in Application of Bistortae Rhizoma in Mongolian Medicine and Traditional Chinese Medicine

Mongolian medicine and traditional Chinese medicine have different interpretations of Bistortae Rhizoma,including its name,nature and taste,function and efficacy.This paper sorted out the related application of Chinese and Mongolian medicine from the records of Materia Medica.The chemical components and pharmacological effects of Bistortae Rhizoma were summarized to provide a reference for the clinical application of Bistortae Rhizoma in traditional Chinese medicine and Mongolian medicine,and for the better development and utilization of national medicines.

△T Derived From the Latest Textual Criticism of Timing Records of Lunar Eclipses in Ancient China

In abundant old observational records of lunar eclipses in ancient China, some with timing of lunar eclipse phase are significant to the study of secular variation and fluctuation of the Earth’s rotation.Among the over 700 observational records for about 400 lunar eclipses,133 observational times of eclipse phases about

Variation of the earth's rotation derived from timing records of solar eclipse in ancient China

In the study of variation of the earth’s rotation based on the records of some ancientastronomical events, the timing records of ancient astronomical events and phenomena, suchas solar and lunar eclises and lunar occultation, are important components of the data.The reliable records, especially those from the countries and regions with advanced an-cient astronomy and timing technology, contain valuable information on the variation

Analysis of astronomical records of King Wu's Conquest

All related astronomical records of King Wu's Conquest have been searched and analysed comprehensively. Constrained by the newest conclusions of archeology, philology and history in the Xia-Shang-Zhou Chronology Project and based mainly on dates in Wucheng, Jupiter's position in Guoyu and information on the season, our first choice of the date of King Wu's Conquest is Jun. 20, BC1046. This conclusion explains properly most relevant literature.

Application of the Data Mining Algorithm in the Clinical Guide Medical Records

Objective:This study analyzed the data of the medical cases in the book,“Clinical Guide Medical records”using a data mining method,to provide a reference for Ye Tianshi’s academic thoughts.Methods:We used the web version of the ancient and modern medical records cloud platform to complete distribution statistics,association rules,cluster analysis,and complex network analysis of all the medical records in the“Clinical Guide Medical records.”These methods were used to summarize the baseline data and to identify the core relationship between Chinese medicine diseases and Chinese medicine,as well as the Chinese medicine Classification.Results:A total of 2572 medical records,3136 visits,and 2879 prescriptions of 1127 traditional Chinese medicines were included in this study.The most common diseases(such as hematemesis),syndromes(such as liver–stomach disharmony),symptoms(such as rapid pulse),disease sites(such as gastric cavity),disease properties(such as Yang deficiency),treatment methods(such as activating Yang),and traditional Chinese medicines(such as Poria cocos)were identified.Furthermore,medicines with a warm,flat,cold,sweet,or bitter taste with its effects on the lungs,spleen,and heart were the most common.The observed effects of the drugs included clearing dampness,promoting diuresis,and strengthening the spleen.The association analysis showed that the associations between TCM diseases and traditional Chinese medicines that had a high confidence were“phlegm and fluid retention–Poria cocos,”“diarrhea–Poria cocos,”etc.The cluster analysis showed that traditional Chinese medicines were classified into five categories.The complex network showed the core relationship between nine high-frequency diseases and nine high-frequency traditional Chinese medicine.Conclusion:This study revealed the most important relationships between traditional Chinese medicines diseases and traditional Chinese medicines and classified the most used traditional Chinese medicines.These findings may help the coming generations of doctors to make accurate diagnoses and treat patients effectively and to improve the clinicians’efficacy in clinical diagnosis and treatment.