Research on Technology Development of Traditional Chinese Medicine Extraction Based on Patent Information

Objective To understand the development status of traditional Chinese medicine extraction technology,so as to provide a reference for enterprises and scientific research institutions to determine the direction of technological innovation.Besides,the government can formulate scientific and technological innovation strategies.Methods Based on patent information,statistical methods were applied to analyze the development of traditional Chinese medicine extraction technology.Then,the core technology was identified by constructing a patent citation network.Finally,the main path analysis method was applied to discover the technological evolution path.Results and Conclusion The extraction technology of traditional Chinese medicine is still in the growth stage.At present,its R&D is based on enterprises,supplemented by scientific research institutions.The core technologies are ultrasonic extraction and enzymatic extraction.The main path represented by enzymatic extraction technology reveals the evolution process of traditional Chinese medicine extraction technology.Based on this,relevant suggestions are put forward.Firstly,technological innovation cooperation should be strengthened to explore new models of achievement transformation and cooperation.Secondly,key enterprises of technology clusters should be cultivated to accelerate breakthroughs in core technologies.Thirdly,combined technologies can achieve high-efficiency enzyme-assisted extraction and open up new ways of extracting traditional Chinese medicine.Fourthly,traditional techniques should be improved to develop innovative modern techniques.

Query Expansion for Chinese Information Retrieval by Using a Decaying Co-occurrence Model

Query expansion with thesaurus is one of the useful techniques in modern information retrieval (IR). In this paper, a method of query expansion for Chinese IR by using a decaying co-occurrence model is proposed and realized. The model is an extension of the traditional co-occurrence model by adding a decaying factor that decreases the mutual information when the distance between the terms increases. Experimental results on TREC-9 collections show this query expansion method results in significant improvements over the IR without query expansion.

Integrative analysis of bone-formation associated genes and immune cell infiltration in osteoporosis, and the prediction of active ingredients in targeted traditional Chinese medicine

Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of targeted traditional Chinese medicine(TCM)herbs.Methods The Gene Expression Omnibus(GEO)and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP.The R package was utilized as the analytical tool for the identification of differentially expressed genes.Least absolute shrinkage and selection operator(LASSO)logis-tic regression analysis and support vector machine-recursive feature elimination(SVM-RFE)algorithm were employed in defining the genetic signature specific to OP.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses for the selected pivotal genes were conducted.The cell-type identification by estimating rela-tive subsets of RNA transcripts(CIBERSORT)algorithm was leveraged to examine the infiltra-tion patterns of immune cells;with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells.Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP.Comparative Toxicogenomics Database(CTD)was employed for forecasting the TCM ac-tive ingredients targeting the key genes.AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results;facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets.Results Ten genes were identified by intersecting the results from the GEO and GeneCards databases.Through the application of LASSO regression and SVM-RFE algorithm;four piv-otal genes were selected:coat protein(CP);kallikrein 3(KLK3);polymeraseγ(POLG);and transient receptor potential vanilloid 4(TRPV4).GO and KEGG pathway enrichment analy-ses revealed that these trait genes were predominantly engaged in the regulation of defense response activation;maintenance of cellular metal ion balance;and the production of chemokine ligand 5.These genes were notably associated with signaling pathways such as ferroptosis;porphyrin metabolism;and base excision repair.Immune infiltration analysis showed that key genes were highly correlated with immune cells.Macrophage M0;M1;M2;and resting dendritic cell were significantly different between groups;and there were signifi-cant differences between different groups(P<0.05).The interaction counts of resveratrol;curcumin;and quercetin with KLK3 were 7;3;and 2;respectively.It shows that the interac-tions of resveratrol;curcumin;and quercetin with KLK3 were substantial.Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes.Conclusion Pivotal genes including CP;KLK3;POLG;and TRPV4;exhibited commendable significant prognostic value;and played a crucial role in the diagnostic assessment of OP.Resveratrol;curcumin;and quercetin;natural compounds found in TCM;showed promise in their potential to effectively modulate the bone-forming gene KLK3.This study provides a sci-entific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.

China’s Perspectives on the Modern Educational Value of Critical Information Literacy

Critical information literacy is a new and important direction of information literacy education for university students in the new media era.By comparing critical information literacy between China and the West,combining with the research on information literacy education in China in the past 20 years,and based on the three major relationships that Chinese philosophy is concerned about that people need to face in the world of life,i.e.,the individual and the self,the individual and nature,and the individual and the society,this paper defines critical information literacy as that individuals,as information subjects,discover,select,confirm,and evaluate the information they are exposed to by obtaining and discriminating the content elements of the information world(information sources,information,and information assets)and using critical thinking skills and methods,creatively interpret or solve the relevant problems arising from the interaction between individuals and self,individuals and nature,individuals and society,and form the literacy that represents the knowledge,ability,attitude,habit,and level of the information subject through continuous reflection and practice.In order for human beings to better understand the world and construct it responsibly,critical information literacy can play a greater role and educational value.It not only helps contemporary college students build knowledge of“good questioning”and enhance their“reasoning”skills,but also encourages them to maintain a“firm standpoint,”cultivate a habit of“healthy skepticism,”and enhance their“decision-making”skills.

Discursive Construction of Chinese Military Image in the British Media

This study takes the image of China’s military as c onstructed in the British media’s military coverage of China as an object of study,and creates two reference corpora for comparative research.It is used to better analyse and compare the ideologies hidden in the British media’s coverage of China’s milita ry.From the analysis of the corpus,it is concluded that due to China’s rapid military and economic development,Western countries have developed a sense of crisis and have used media reports to instigate China’s foreign relations and mislead public think ing.

The Application of Geographic Information System(GIS) to the Study of Chinese History

Historical geographic information system construction echoes the call of academic development in the information era and demonstrates the in-depth advancement of history studies. In recent years, an increasing number of data platforms have been built to facilitate historical information storage, display, management and analysis. In such a context, the geographic information system(GIS) begins to contribute to the study of Chinese history. Its contribution is highlighted in nine areas: historical climate, fluvial landforms, town economies, rural settlements, hydraulic societies, environmental changes, ancient cities, ancient maps and HGIS-enabled research methods. The application of GIS to the study of Chinese history initiates a reform in research methods and at the same time upgrades the philosophy of history studies, facilitating the utilization of a diversity of historical data(documents, ancient maps, remote-sensing images, archaeological information, etc.) for dynamic tracing and multi-factor comprehensive research. At present, restricted by traditional disciplinary boundaries, the construction of HGIS platforms remains slow and insufficient, making it difficult to extensively apply GIS to the study of Chinese history.

A New Word Detection Method for Chinese Based on Local Context Information

Finding out out-of-vocabulary words is an urgent and difficult task in Chinese words segmentation. To avoid the defect causing by offline training in the traditional method, the paper proposes an improved prediction by partical match （PPM） segmenting algorithm for Chinese words based on extracting local context information, which adds the context information of the testing text into the local PPM statistical model so as to guide the detection of new words. The algorithm focuses on the process of online segmentatien and new word detection which achieves a good effect in the close or opening test, and outperforms some well-known Chinese segmentation system to a certain extent.

CHINESE JOURNAL OF CANCER RESEARCH Information for Authors

Chinese Journal of Cancer Research, an international biomedical journal edited and published quarterly in English by Chinese Anti-Cancer Association (CACA), is a comprehensive academic journal, aiming to reflect primarily the creative or innovative achievements in all fields of cancer research in China. The papers (original research articles or reviews, specially) of basic experiments,

Information Moment for Chinese Character Recognition

Moment invariants firstly introduced by M. K Hu in 1962, has some shortcomings. After counting a large number of statistical distribution information of Chinese characters,the authors put forward the concept of information moments and demonstrate its invariance to translation,rotation and scaling.Also they perform the experiment in which information moments compared with moment invaiants for the effects of similar Chinese characters and font recognition.At last they show the recognition rate of 88% by information moments,with 70% by moment inariants.

The Research of Chinese Words Semantic Similarity Calculation with Multi-Information

Text similarity has a relatively wide range of applications in many fields, such as intelligent information retrieval, question answering system, text rechecking, machine translation, and so on. The text similarity computing based on the meaning has been used more widely in the similarity computing of the words and phrase. Using the knowledge structure of the and its method of knowledge description, taking into account the other factor and weight that influenced similarity, making full use of depth and density of the Concept-Sememe tree, an improved method of Chinese word similarity calculation based on semantic distance was provided in this paper. Finally the effectiveness of this method was verified by the simulation results.

Research on the intelligent convergence of the information and data on overseas Chinese affairs based on the semantic web

The massive data on the Intemet needs to be exchanged and managed in a way that can understand the semantics of the data. The development and maturity of the semantic web make the highly efficient and high-quality semantic information retrieval possible. The semantic web technology has been applied in the intelligent information retrieval, the inter-enterprise data exchange and knowledge management, and the Interact services and so on. Through the semantic web technology, we can explore the intelligent convergence of the overseas Chinese information data, design the intelligent aggregation model of the overseas Chinese information data, and design the relationship and functions between various modules.

An overview on the development of Chinese library and information science journals

This paper gives an overview of the history and the present status of Chinese library and information science journals, and introduces the operation and management of Chinese library and information science journals by taking Journal of Library Science In China, Library and Information Service, Journal of Academic Libraries, and Journal of Information Science as examples. Besides, six suggestions are given for the future development of Chinese library and information science journals.

Current status and future development of Chinese Government Public Information Online

Since its launch last year, the Chinese Government Public Information Online(CGPIO) platform's basic construction has developed rapidly. This paper describes the technology and service status of the platform, analyzes its problems, and details the future development of the alliance platform in the future.

Chinese Journal of Library and Information Science

(CJLIS,Chinese Title:《中国文献情报》)ISSN 1674-3393,CN 11570/G2;Price:$US 199/Volume Chinese Journal of Library and Information Science(CJLIS)is the first and only Englishlanguage academic journal in the field of Library and Information Science(LIS)that has been published in China’s mainland so far.It aims to establish a platform for students,researchers and professionals in LIS and archive science to engage in intellectual dialogs and to share best professional practices of their experience.