{"title":"Representation of Syntactic Structures with Coordinating Conjunctions","authors":"","doi":"10.3103/s0147688223050039","DOIUrl":"https://doi.org/10.3103/s0147688223050039","url":null,"abstract":"<span> <h3>Abstract</h3> <p>The paper discusses sentences with coordinating conjunctions and homonymy where it is hard or impossible to build feasible syntactic structures using well-known models: dependency-based parse trees, constituency-based parse trees, and syntactic group models. We suggest an approach to representing syntactic structures with conjunctions. We present features which distinguish our approach from the models under investigation. This paper shows multiple ways of visualization of syntactic structures.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"28 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140046070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pareto Set Reduction Based on Information about Type Two Fuzzy Preference Relation. Algorithm Description","authors":"","doi":"10.3103/s0147688223060023","DOIUrl":"https://doi.org/10.3103/s0147688223060023","url":null,"abstract":"<span> <h3>Abstract</h3> <p>A multicriteria choice problem is considered in the case when the preferences of a decision maker are expressed using a type two fuzzy binary relation. A Pareto set reduction algorithm based on fuzzy quanta of information about the preferences of the decision maker is presented. An example of its application is also discussed.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"100 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140055055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Specifics of Russian Students’ Interaction with Scientific Resources: Survey Results","authors":"","doi":"10.3103/s014768822304010x","DOIUrl":"https://doi.org/10.3103/s014768822304010x","url":null,"abstract":"<span> <h3>Abstract</h3> <p>In this empirical study, we investigated the approaches employed by students at different educational levels (in ’bachelor’s, ’master’s, and doctoral programs) in Russian universities when tackling tasks related to scientific information search and retrieval. The survey was conducted during the period of April to May 2023, with a total sample of 612 participants. Our findings suggest that while discernible progress is observed as students advance to higher academic levels, the overall level of scientific literacy, particularly in the investigated aspects, remains notably limited. This outcome indicates the potential influence of insufficient systematic education on the development of essential scientific literacy skills among Russian students.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"10 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140036045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research Data with Open Access in Foreign Information Systems","authors":"","doi":"10.3103/s0147688223040032","DOIUrl":"https://doi.org/10.3103/s0147688223040032","url":null,"abstract":"<span> <h3>Abstract</h3> <p>The results are presented of the analysis of 214 foreign current research information systems (–CRISs) as basic resources reflecting the state of research of specific scientific institutions. A quantitative assessment of the research data registered in the system is given. Emphasis is placed on open access data collected in information systems. It is found that the number of scientific research results in open access is increasing every year. Today, the share of publicly available scientific products in the considered CRIS systems averages about 25%.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"41 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140036177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Possible Areas of Application of Artificial Intelligence in Libraries and Information Centers","authors":"","doi":"10.3103/s0147688223040093","DOIUrl":"https://doi.org/10.3103/s0147688223040093","url":null,"abstract":"<span> <h3>Abstract</h3> <p>The concept of artificial intelligence arose in the middle of the 20th century, but the rapid development of one specific area for the implementation of artificial intelligence, namely, neural networks, has only occurred over the past 10 years. Neural networks have come to process huge amounts of information, extract its essence, compose a coherent text on their basis that cannot be distinguished from a human one, and conduct a conversation, taking context into account. These capabilities of neural networks can find everyday use in library activities for automatic annotation of documents, cataloging images, searching for similar documents, analyzing bibliographic references in scientific articles, and so on. Then, the information stored in libraries can be used to train neural networks.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"237 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140036056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ensuring Information Openness of Enterprises: Benefits and Risks","authors":"","doi":"10.3103/s0147688223040044","DOIUrl":"https://doi.org/10.3103/s0147688223040044","url":null,"abstract":"<span> <h3>Abstract</h3> <p>The importance of the disclosure of corporate information for attracting capital from interested parties is substantiated. It is shown that information about the activities of an enterprise placed in the public domain can have both positive and negative sides. The experience of the information openness of the largest Russian companies is described based on the analysis of their non-financial reports.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"104 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140036308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pareto Set Reduction Based on Information about Type Two Fuzzy Preference Relation. Algorithm Justification","authors":"","doi":"10.3103/s0147688223060035","DOIUrl":"https://doi.org/10.3103/s0147688223060035","url":null,"abstract":"<span> <h3>Abstract</h3> <p>A multicriteria choice problem is considered in which the preferences of a decision maker are described using a type two fuzzy binary relation. The mathematical rationale of the Pareto set reduction algorithm based on fuzzy quanta of information on the preferences of the decision maker is presented. Algorithm optimization is discussed for practically important cases.</p> </span>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"25 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140055036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interdependence of Research Performance Indicators","authors":"P. A. Kalachikhin","doi":"10.3103/s0147688223030103","DOIUrl":"https://doi.org/10.3103/s0147688223030103","url":null,"abstract":"","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135737395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Potential of Applying the Artificial Intelligence Language Model ChatGPT-3.5 in Library and Bibliographic Activities","authors":"V. K. Stepanov, M. Sh. Madzhumder, D. D. Begunova","doi":"10.3103/s0147688223030036","DOIUrl":"https://doi.org/10.3103/s0147688223030036","url":null,"abstract":"","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135737398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classification of Short Scientific Texts","authors":"I. K. Kusakin, O. V. Fedorets, A. Y. Romanov","doi":"10.3103/s0147688223030024","DOIUrl":"https://doi.org/10.3103/s0147688223030024","url":null,"abstract":"","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135737650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}