Construction and application of knowledge graph of Treatise on Febrile Diseases

Objective To establish the knowledge graph of“disease-syndrome-symptom-method-formula”in Treatise on Febrile Diseases(Shang Han Lun,《伤寒论》)for reducing the fuzziness and uncertainty of data,and for laying a foundation for later knowledge reasoning and its application.Methods Under the guidance of experts in the classical formula of traditional Chinese medicine(TCM),the method of“top-down as the main,bottom-up as the auxiliary”was adopted to carry out knowledge extraction,knowledge fusion,and knowledge storage from the five aspects of the disease,syndrome,symptom,method,and formula for the original text of Treatise on Febrile Diseases,and so the knowledge graph of Treatise on Febrile Diseases was constructed.On this basis,the knowledge structure query and the knowledge relevance query were realized in a visual manner.Results The knowledge graph of“disease-syndrome-symptom-method-formula”in the Treatise on Febrile Diseases was constructed,containing 6469 entities and 10911 relational triples,on which the query of entities and their relationships can be carried out and the query result can be visualized.Conclusion The knowledge graph of Treatise on Febrile Diseases systematically realizes its digitization of the knowledge system,and improves the completeness and accuracy of the knowledge representation,and the connection between“disease-syndrome-symptom-treatment-formula”,which is conducive to the sharing and reuse of knowledge can be obtained in a clear and efficient way.

China Court Cases on Intellectual Property Rights——First Chinese-English treatise on lP-related case analyses;hard cover,900 pages

For the purpose of summarising the judicial experiencein adjudicating IP-related cases and familarising the readersin China and overseas with the practical situation of

Heterogeneous graph construction and node representation learning method of Treatise on Febrile Diseases based on graph convolutional network

Objective To construct symptom-formula-herb heterogeneous graphs structured Treatise on Febrile Diseases(Shang Han Lun,《伤寒论》)dataset and explore an optimal learning method represented with node attributes based on graph convolutional network(GCN).Methods Clauses that contain symptoms,formulas,and herbs were abstracted from Treatise on Febrile Diseases to construct symptom-formula-herb heterogeneous graphs,which were used to propose a node representation learning method based on GCN−the Traditional Chinese Medicine Graph Convolution Network(TCM-GCN).The symptom-formula,symptom-herb,and formula-herb heterogeneous graphs were processed with the TCM-GCN to realize high-order propagating message passing and neighbor aggregation to obtain new node representation attributes,and thus acquiring the nodes’sum-aggregations of symptoms,formulas,and herbs to lay a foundation for the downstream tasks of the prediction models.Results Comparisons among the node representations with multi-hot encoding,non-fusion encoding,and fusion encoding showed that the Precision@10,Recall@10,and F1-score@10 of the fusion encoding were 9.77%,6.65%,and 8.30%,respectively,higher than those of the non-fusion encoding in the prediction studies of the model.Conclusion Node representations by fusion encoding achieved comparatively ideal results,indicating the TCM-GCN is effective in realizing node-level representations of heterogeneous graph structured Treatise on Febrile Diseases dataset and is able to elevate the performance of the downstream tasks of the diagnosis model.

Discussion on the application of Ginseng efficacy from"Treatise on Spleen and Stomach"

According to the original works of an ancient Chinese medicine book"Treatise on Spleen and Stomach"(Detailed Analysis of Spleen and Stomach Diseases;1249 C.E.)written by Li Dongyuan(1180-1251 C.E),and related explanations of later physicians,the efficacy and application of Ginseng(Ginseng Radix et Rhizoma)in related prescriptions were investigated from the aspects of dosage,usage and treatment methods.Ginseng appeared in 27 named prescriptions,including 20 decoctions,4 pill and 3 powder.In terms of dosage and usage,the common dosage of Ginseng is five points,mainly decoction.Most of the processing methods are"Fuju"(Bite up the medicine with your mouth so it can be taken.)and decoction with water.In terms of treatment methods,Ginseng is used in the sweet temperature and heat removing method and Nourishes Qi and Eliminates Evils Method(build your body to cure disease)in Li Dongyuan's"Treatise on Spleen and Stomach".Explaining Sweet Temperature Heat Removal Method(Use sweet and warm medicines to treat Qi-deficiency fever or Blood-deficiency fever;there are many reasons for fever,and cold and cooling medicines with heat-clearing effect are generally used for treatment.Use bitter cold medicine,so as not to consume the body's Yang.)takes Buzhong Yiqi Decoction(BYD)as an example,and explaining the Nourishes Qi and Eliminates Evils Method takes Mahuang-renshen-shaoyao decoction as an example.At the same time,"Treatise on Spleen and Stomach"matured in the Jin and Yuan Dynasties(1115-1368 C.E.).Its system of weights and measures,terminology and medical theory are quite different from those of modern Chinese medicine.Therefore,when researching the dosage,usage and treatment methods of Ginseng,we will explore the controversial points,and explain them by using modern Chinese medicine theory,so as to guide the clinical medication more accurately.

Exploration and Research on Translation Strategies of Terminologies in Treatise on Warm Heat Disease

Cultural Translation Theory,originated in the 20 th century,states that the study of translation is the study of cultural in-teraction.It aims to explain that translation should not merely be constrained at traditional linguistic level,but should go to a muchbroader area,that is to say,the cultural and historical frame to direct our translation.Wen Re Lun(Treatise on Warm Heat Disease)is a representative classic of Warm Disease Theory in Traditional Chinese Medicine(TCM),with considerable cultural tradition.From the perspective of Cultural Translation Theory,this thesis discussed the translation strategy of terminologies in Wen Re Lun.The principle,"mainly based on foreignization and domestication as minor",could be preferable to transmit the TCM essence byits own language.

Ye Gui and Treatise on Warm-heat Diseases

Ye Gui (courtesy name:Ye Tianshi,assumed name:Ye Xiangyan 1667-1746),a celebrated physician of the Qing Dynasty was from Wu County,Jiangsu province.Born into a TCM family and nurtured by his family tradition,he read many medical classics like Huangdi's Canon of Medicine (Huang Di Nei Jing),Classic of Difficulties (Nan Jing),etc.,which laid a solid foundation for his future medical career.He was naturally bright and talented so he was good at drawing analogies.Although his medical attainments outdid his teachers,he did not become complacent.He was modest and eager to learn,so when he met any medical expert he would listen to advice with an open mind.He chose to learn from 17 super physicians,which became a favorite topic among the medical cycles.1 Since he discovered and made use of the strong points of all others and gained a thorough understanding,he advanced by leaps and bounds and his fame skyrocketed.Eventually he became a very influential medical expert.

Text Mining and Analysis of Treatise on Febrile Diseases Based on Natural Language Processing

Objective:With using natural language processing (NLP) technology to analyze and process the text of "Treatise on Febrile Diseases (TFDs)"for the sake of finding important information, this paper attempts to apply NLP in the field of text mining of traditional Chinese medicine (TCM)literature. Materials and Methods:Based on the Python language, the experiment invoked the NLP toolkit such as Jieba, nltk, gensim,and sklearn library, and combined with Excel and Word software. The text of "TFDs" was sequentially cleaned, segmented, and moved the stopped words, and then implementing word frequency statistics and analysis, keyword extraction, named entity recognition (NER) and other operations, finally calculating text similarity. Results:Jieba can accurately identify the herbal name in "TFDs." Word frequency statistics based on the word segmentation found that "warm therapy" is an important treatment of "TFDs." Guizhi decoction is the main prescription,and five core decoctions are identified. Keyword extraction based on the term "frequency-inverse document frequency" algorithm is ideal.The accuracy of NER in "TFDs" is about 86%;latent semantic indexing model calculating the similarity,"Understanding of Synopsis of Golden Chamber (SGC)" is much more similar with "SGC" than with "TFDs." The results meet expectation. Conclusions:It lays a research foundation for applying NLP to the field of text mining of unstructured TCM literature. With the combination of deep learning technology,NLP as an important branch of artificial intelligence will have broader application prospective in the field of text mining in TCM literature and construction of TCM knowledge graph as well as TCM knowledge services.

Treatise by Olbrycht Strumieński (1573)--The First Polish Book on Hydraulic Engineering

The treatise by Olbrycht Strumieński is chronologically the first book in Poland, and the second in Europe, describinglevelling instruments. A few years after Strumieński’s death, the text was published by Stanisław Stroynowski. Until the 19th century,only three Polish-language treatises addressed the problems of levelling. Strumieński described the technique of building andmanaging fish ponds in Moravia, Bohemia and Poland. The presented surveying instruments and measuring methods are sufficientfor the design and construction of a pond that can survive for over 300 years. Strumieński also presented the principles of freshwateraquaculture. Poland, along with Bohemia, Moravia and Hungary, was an exporter of freshwater fish to Western Europe from the 16thto the mid-18th century.

“Kutadgu Bilig”, Philosophical-Legal Political Treatise (Book of Government) of the History of Turkish-Islamic Culture of the 11th Century

Kutadgu Bilig(Gracious Knowledge),a common cultural monument of modern Turkic peoples,is a valuable historical,theoretical,and methodological source that reveals the artistic and political thinking of the 11th century,shapes the life and spiritual culture of society,and explains the prospects for governing the state.In this work,which is a philosophical and legal political treatise(Book of Government)of the history of Turkish-Islamic culture of the 11th century,the general terms of the government strategy,which forms the basis of public administration,are widely interpreted from different aspects.Kutadgu Bilig,which reveals the unique artistic treasures of the Turkish language and Turkish artistic and political thinking,shows that the proper regulation of relations between the people and the government is the most important factor in public administration.Kutadgu Bilig,a philosophical and legal political treatise of the Turkish-Islamic cultural history of the 11th century,which contains very important theoretical and practical knowledge in the field of state building and administration,has not lost its actuality since it reflects the theoretical and methodological principles of public administration.

Epidemic Diseases and Chinese Medicine: Example of SARS and COVID-19: Part Two

Along with the legends about epidemic demons,China has developed over the centuries a medical approach to epidemic diseases based on the teachings of Hucng Di Nei Jing(《黄帝内经》Huangdi s Intermnal Classic),Nan Jing(《难经》Classic of Difficult Issues),and Shang Han Lun(《伤寒论》Treatise on Cold Damage).Other doctors and scientists participated in this evolution of knowledge,like Wang Shuhe(王叔和),Ge Hong(葛洪),Chao Yuanfang(巢元方),Sun Simiao(孙思邈),and Liu Wansu(刘完素).However,it was in the 17^th century,after the great break of the Song,Jin,and Yuan eras that an innovative spirit,Wu Youke(吴又可1582-1652)first foresaw the existence of microorganisms as we know them now.His Wen Yi Lun(《瘟疫论》Treatise on Pestilence)foreshadows an original approach to epidemic diseases,particularly emerging infectious diseases of the 21^st century.After them,traditional Chinese medicine developed a comprehensive method of diagnosing and treating of these diseases(Epidemic Diseases Theory瘟疫学说)within the School ofHeat Diseases(温病学派).In a third article,we will examine some applications in the treatment of the SARS 2003-2004 epidemic(非典型肺炎)and the current COVID-19(新型冠状病毒肺炎)pandemic.

Epidemic Diseases and Chinese Medicine:Example of SARS and COVID‑19:Part Two

Along with the legends about epidemic demons,China has developed over the centuries a medical approach to epidemic diseases based on the teachings of Huang Di Nei Jing(《黄帝内经》Huangdi’s Internal Classic),Nan Jing(《难经》Classic of Difficult Issues),and Shang Han Lun(《伤寒论》Treatise on Cold Damage).Other doctors and scientists participated in this evolution of knowledge,like Wang Shuhe(王叔和),Ge Hong(葛洪),Chao Yuanfang(巢元方),Sun Simiao(孙思邈),and Liu Wansu(刘完素).However,it was in the 17th century,after the great break of the Song,Jin,and Yuan eras that an innovative spirit,Wu Youke(吴又可1582–1652)first foresaw the existence of microorganisms as we know them now.His Wen Yi Lun(《瘟疫论》Treatise on Pestilence)foreshadows an original approach to epidemic diseases,particularly emerging infectious diseases of the 21st century.After them,traditional Chinese medicine developed a comprehensive method of diagnosing and treating of these diseases(Epidemic Diseases Theory瘟疫学说)within the School of Heat Diseases(温病学派).In a third article,we will examine some applications in the treatment of the SARS 2003–2004 epidemic(非典型肺炎)and the current COVID-19(新型冠状病毒肺炎)pandemic.