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Journal articles on the topic 'Science topics'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Kleanthous, Colin. "Exploring emerging topics." Emerging Topics in Life Sciences 1, no. 1 (January 18, 2017): e1-e2. http://dx.doi.org/10.1042/etls20160006.

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Life science research is becoming increasingly interdisciplinary in nature, and therefore there is a need for a journal that will support researchers, covering the latest thinking and newest concepts. Emerging Topics in Life Sciences is a new journal that fulfils this need, covering rapidly-moving areas of life science research, and providing a link between the established record and the latest research. Here, Colin Kleanthous, the Editor-in-Chief, provides an introduction to the journal, its aims and scope, and highlights the first featured topics.

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SILK, J. "Physical Topics." Science 255, no. 5040 (January 3, 1992): 94–95. http://dx.doi.org/10.1126/science.255.5040.94.

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Raeside, R., and Robert E. Markland. "Topics in Management Science." Journal of the Operational Research Society 41, no. 7 (July 1990): 648. http://dx.doi.org/10.2307/2583446.

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Raeside, R. "Topics in Management Science." Journal of the Operational Research Society 41, no. 7 (July 1990): 648. http://dx.doi.org/10.1057/jors.1990.93.

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SUZUKI, Toshiyuki. "Topics on Emulsion Science." Kobunshi 44, no. 5 (1995): 302–5. http://dx.doi.org/10.1295/kobunshi.44.302.

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Whitbeck, C. "Overlapping Dissertation Topics." Science 265, no. 5175 (August 19, 1994): 1020. http://dx.doi.org/10.1126/science.265.5175.1020.

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7

Wu, Bing, and Chen Yan Zhang. "Knowledge Diffusion and Innovation Research in Virtual Contexts." Applied Mechanics and Materials 701-702 (December 2014): 1328–31. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.1328.

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Knowledge creation and diffusion in determining growth performance is still a hot topic. We gleaned from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science, concerning advances in knowledge diffusion research in virtual contexts. The result indicates that the main research territory is Italy, accounting for 22.222%. The number of citations on this topic mainly distributes in recently 3 years, reaching climax of 16 in 2012. And from the analysis of research area, there are five main areas: business economics, environment science ecology, geography, public administration, and social sciences other topics. Particularly, the percentage of publication in business economics is 55.556%. Overall, the relating knowledge diffusion and innovation research topics can be classified into five aspects: infrastructures, capacities, performance, policies and modeling.

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Zhang, Zhiyong, and Danyang Zhang. "What is Data Science? An Operational Definition based on Text Mining of Data Science Curricula." Journal of Behavioral Data Science 1, no. 1 (May 2021): 1–16. http://dx.doi.org/10.35566/jbds/v1n1/p1.

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Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These topics reiterate that data science is at the intersection of statistics, computer science, and substantive fields.

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Ma, Keping. "Hot topics for Biodiversity Science." Biodiversity Science 24, no. 1 (2016): 1–2. http://dx.doi.org/10.17520/biods.2016029.

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McCrickard, D. Scott, C. M. Chewar, and Jacob Somervell. "Design, science, and engineering topics?" ACM SIGCSE Bulletin 36, no. 1 (March 2004): 31–35. http://dx.doi.org/10.1145/1028174.971314.

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Lenihan, John. "Selected topics in image science." International Journal of Bio-Medical Computing 16, no. 1 (January 1985): 84–85. http://dx.doi.org/10.1016/0020-7101(85)90049-2.

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Díez-Pascual, Ana Maria. "Hot Topics in Macromolecular Science." Macromol 1, no. 3 (June 23, 2021): 173–76. http://dx.doi.org/10.3390/macromol1030013.

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Wang, Juite, and Chih-Chi Hsu. "A topic-based patent analytics approach for exploring technological trends in smart manufacturing." Journal of Manufacturing Technology Management 32, no. 1 (September 19, 2020): 110–35. http://dx.doi.org/10.1108/jmtm-03-2020-0106.

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PurposeSmart manufacturing can lead to disruptive changes in production technologies and business models in the manufacturing industry. This paper aims to identify technological topics in smart manufacturing by using patent data, investigating technological trends and exploring potential opportunities.Design/methodology/approachThe latent Dirichlet allocation (LDA) topic modeling technique was used to extract latent technological topics, and the generalized linear mixed model (GLMM) was used to analyze the relative emergence levels of the topics. Topic value and topic competitive analyses were developed to evaluate each topic's potential value and identify technological positions of competing firms, respectively.FindingsA total of 14 topics were extracted from the collected patent data and several fast growth and high-value topics were identified, such as smart connection, cyber-physical systems (CPSs), manufacturing data analytics and powder bed fusion additive manufacturing. Several leading firms apply broad R&D emphasis across a variety of technological topics, while others focus on a few technological topics.Practical implicationsThe developed methodology can help firms identify important technological topics in smart manufacturing for making their R&D investment decisions. Firms can select appropriate technology strategies depending on the topic's emergence position in the topic strategy matrix.Originality/valuePrevious research studies have not analyzed the maturity levels of technological topics. The topic-based patent analytics approach can complement previous studies. In addition, this study provides a multi-valuation framework for exploring technological opportunities, thus providing valuable information that supports a more robust understanding of the technology landscape of smart manufacturing.

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Triggle, David J. "Topics in Pharmaceutical Sciences." Journal of Pharmaceutical Sciences 75, no. 8 (August 1986): 822. http://dx.doi.org/10.1002/jps.2600750823.

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Sánchez-Holgado, Patricia, and Carlos Arcila-Calderón. "Supervised Sentiment Analysis of Science Topics." Journal of Information Technology Research 13, no. 3 (July 2020): 80–94. http://dx.doi.org/10.4018/jitr.2020070105.

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Twitter is one of the largest sources of real-time information on the Internet and is continuously fed by millions of users around the world. Each of these users publishes text messages with their opinions, concerns, information, or simply their daily happenings. It is a challenge to address the analysis of massive data in the network, just as it is an objective to look for ways to understand everything that data can offer today in terms of knowledge of society and the market. The sector of science communication is still discovering everything that the web 2.0 and social networks can offer to reach all audiences. This article develops a classification model of messages launched on Twitter, on science topics, in Spanish, with machine learning techniques. The training of this type of models requires the creation of a specific corpus in Spanish for the subject of science, which is one of the most laborious tasks. The classifier is able to predict the sentiment of the message in real time on Twitter, with a confidence interval greater than 80%. The results of its evaluation are at 72% accuracy.

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Monahan, Mary Beth. "Writing “Voiced” Arguments About Science Topics." Journal of Adolescent & Adult Literacy 57, no. 1 (May 15, 2013): 31–40. http://dx.doi.org/10.1002/jaal.204.

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McManus, Paulette M. "Topics in Museums and Science Education." Studies in Science Education 20, no. 1 (January 1992): 157–82. http://dx.doi.org/10.1080/03057269208560007.

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Bawn, C. S. H. "Contemporary topics in polymer science-5." Polymer 26, no. 8 (August 1985): 1277. http://dx.doi.org/10.1016/0032-3861(85)90266-6.

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Chazot, Paul L. "Basic Science—Hot Topics in Pharmacology." Current Anaesthesia & Critical Care 16, no. 2 (February 2005): 69–70. http://dx.doi.org/10.1016/j.cacc.2005.04.002.

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Beniermann, Anna, Laurens Mecklenburg, and Annette Upmeier zu Belzen. "Reasoning on Controversial Science Issues in Science Education and Science Communication." Education Sciences 11, no. 9 (September 8, 2021): 522. http://dx.doi.org/10.3390/educsci11090522.

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The ability to make evidence-based decisions, and hence to reason on questions concerning scientific and societal aspects, is a crucial goal in science education and science communication. However, science denial poses a constant challenge for society and education. Controversial science issues (CSI) encompass scientific knowledge rejected by the public as well as socioscientific issues, i.e., societal issues grounded in science that are frequently applied to science education. Generating evidence-based justifications for claims is central in scientific and informal reasoning. This study aims to describe attitudes and their justifications within the argumentations of a random online sample (N = 398) when reasoning informally on selected CSI. Following a deductive-inductive approach and qualitative content analysis of written open-ended answers, we identified five types of justifications based on a fine-grained category system. The results suggest a topic-specificity of justifications referring to specific scientific data, while justifications appealing to authorities tend to be common across topics. Subjective, and therefore normative, justifications were slightly related to conspiracy ideation and a general rejection of the scientific consensus. The category system could be applied to other CSI topics to help clarify the relation between scientific and informal reasoning in science education and communication.

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Dimond, E. Grey. "Current Topics in Chinese Science: section G: Medical Science." JAMA: The Journal of the American Medical Association 254, no. 18 (November 8, 1985): 2669. http://dx.doi.org/10.1001/jama.1985.03360180181051.

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Malaterre, Christophe, Jean-François Chartier, and Francis Lareau. "The recipes of Philosophy of Science: Characterizing the semantic structure of corpora by means of topic associative rules." PLOS ONE 15, no. 11 (November 18, 2020): e0242353. http://dx.doi.org/10.1371/journal.pone.0242353.

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Scientific articles have semantic contents that are usually quite specific to their disciplinary origins. To characterize such semantic contents, topic-modeling algorithms make it possible to identify topics that run throughout corpora. However, they remain limited when it comes to investigating the extent to which topics are jointly used together in specific documents and form particular associative patterns. Here, we propose to characterize such patterns through the identification of “topic associative rules” that describe how topics are associated within given sets of documents. As a case study, we use a corpus from a subfield of the humanities—the philosophy of science—consisting of the complete full-text content of one of its main journals: Philosophy of Science. On the basis of a pre-existing topic modeling, we develop a methodology with which we infer a set of 96 topic associative rules that characterize specific types of articles depending on how these articles combine topics in peculiar patterns. Such rules offer a finer-grained window onto the semantic content of the corpus and can be interpreted as “topical recipes” for distinct types of philosophy of science articles. Examining rule networks and rule predictive success for different article types, we find a positive correlation between topological features of rule networks (connectivity) and the reliability of rule predictions (as summarized by the F-measure). Topic associative rules thereby not only contribute to characterizing the semantic contents of corpora at a finer granularity than topic modeling, but may also help to classify documents or identify document types, for instance to improve natural language generation processes.

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Habibi, Shafi, Parvin Abdollahzadeh, Mohammadhiwa Abdekhoda, and Hossein Aghayari. "Topic Evolution of Library and Information Science Studies in the Last Twenty Years: A Co-Word Analysis." Depiction of Health 12, no. 1 (March 19, 2021): 55–68. http://dx.doi.org/10.34172/doh.2021.07.

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Abstract Background and Objectives: Topic evolutions of scientific and academic disciplines can be clarified by drawing scientific maps and identifies emerging or developed topics of scientific disciplines, sub-topics and the relationship between different topics of a discipline. The purpose of this study is to draw a strategic diagram to analyze the developments of the last twenty years of library and information science field. Material and Methods: This was a Scientometrics study with co-occurrence analysis of words that was conducted on ten journals with the highest impact factor in the field of library and information science. Twenty years (1998-2017) publications were extracted from LISTA database and imported into SciMAT software. After preparing the data, all publications were divided into four time periods, strategic diagrams of each period were drawn and topic clusters were analyzed. Results: The largest clusters of the first two periods were "Information Retrieval" and "Bibliometrics", which in the next period "Citation-Analysis" appeared instead of "Information Retrieval" cluster, but nevertheless the largest node of this cluster was "Information Retrieval". These clusters were the most developed topics in the field of library and information science. Conclusion: Information retrieval and bibliometrics are at the forefront of library and information science. Sentiment analysis and information literacy with a cognitive approach are emerging topics in the field. Also, studies related to information production and related indicators have led to qualitative research.

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Aragón-Vargas, Luis Fernando. "WHAT IS GOOD SCIENCE AND HOW FAR CAN IT GO?" Pensar en Movimiento: Revista de Ciencias del Ejercicio y la Salud 15, no. 1 (June 28, 2017): 15–26. http://dx.doi.org/10.15517/pensarmov.v15i1.29638.

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I have seized this opportunity to share with our readers a topic, seldom discussed among human movement professionals, which is nevertheless fundamental for our scientific endeavors: philosophy of science.In this editorial I present a few introductory topics, namely, the nature of science, what are its limits, and if and how they should be managed. An attempt is also made to prepare a well-supported list of good scientific research practices. As a researcher who has done most of his work in health and human performance, my focus is on the natural sciences and, more specifically, on human movement science.

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Park, Kinam. "Topics in pharmaceutical sciences 1985." Journal of Controlled Release 4, no. 4 (February 1987): 304–5. http://dx.doi.org/10.1016/0168-3659(87)90025-3.

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Mao, Jin, Yujie Cao, Kun Lu, and Gang Li. "Topic scientific community in science: a combined perspective of scientific collaboration and topics." Scientometrics 112, no. 2 (May 29, 2017): 851–75. http://dx.doi.org/10.1007/s11192-017-2418-7.

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Bradley, Cara. "Information Literacy Articles in Science Pedagogy Journals." Evidence Based Library and Information Practice 8, no. 4 (December 13, 2013): 78. http://dx.doi.org/10.18438/b8jg76.

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Objective – This study sought to determine the extent to which articles about information literacy-related topics have been published in science pedagogy journals. It also explored the nature of these references, in terms of authorship, Association of College and Research Libraries (ACRL) information literacy competency standards addressed, and degree of emphasis on information literacy topics. In addition to characterizing information literacy in the science pedagogy literature, the study presents a methodology that can be adopted by future efforts to explore representations of information literacy in the literature of additional academic disciplines. Methods – The 2011 Journal Citation Reports® Science edition was used to identify the 15 journals with the highest impact factor in the “Education—Scientific Disciplines” subject category. Initially Web of Science was searched to identify occurrences of “information literacy” and related terms in the journals of interest during the 10 year period 2002-2011. This was supplemented by a title scan of the articles to ensure inclusion of relevant items that did not include library-centric terminology. Abstracts and, where necessary, full papers were reviewed to confirm relevance. Only articles were included: editorials, news items, letters, and resource reviews were excluded from the analysis. Articles selected for inclusion were read in their entirety. Professional designations for each author were identified to characterize the authorship of this body of literature. Articles were also classified according to levels developed by O’Connor (2008), to indicate whether information literacy was a “Major Topic,” “Substantive Focus,” “Incidental Mention,” or “Not Explicitly Named.” Further analysis mapped each article to the ACRL information literacy competency standards (2000), to provide more detailed insight into which standards are most frequently addressed in this body of literature. Results – Articles on information literacy-related topics appear only sporadically in science pedagogy journals, and that frequency varies depending on the specific subject area. Overall, librarians contribute a relatively small proportion of these articles, and are more likely to co-author with teaching faculty/graduate students than to publish alone or with other librarians. The degree of focus on information literacy topics (O’Connor level) varies depending on article authorship, with librarians more likely to treat information literacy as the “Major Focus” of their work. Additionally, the articles tend to cluster around ACRL information literacy standards two, three, and especially four, rather than addressing them equally. Conclusions – The presence of some articles on information literacy-related topics in science pedagogy journals suggests that there is a willingness among these journals to publish work in this area. Despite this, relatively few librarians have pursued this publication option, choosing instead to publish articles on information literacy topics within the library and information studies (LIS) literature. As a result, librarians are missing out on the opportunity to share their published work in venues more likely to be seen and valued by subject faculty, and on the chance to familiarize science educators with information literacy topics. Future research should focus on: librarians’ rationale when selecting target publications for their information literacy writing; science educator interest in writing and reading about information literacy topics in their pedagogical journals; and the impact of articles about information literacy in these journals on subject faculty perceptions of the topic’s importance. The methods used in this research have implications for the study of information literacy in other academic disciplines, and demonstrate that the study of information literacy in the literature of academic disciplines can provide valuable insights into representations and characterizations of information literacy in diverse fields of study. A better understanding of how subject faculty think and write about information literacy in their scholarly literature could have a significant impact on how librarians approach and collaborate with faculty in all fields of study.

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Văn Biên, Nguyễn. "Developing and teaching multidisciplinary topics in science." Journal of Science, Educational Science 60, no. 2 (2015): 61–66. http://dx.doi.org/10.18173/2354-1075.2015-0031.

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Small, Henry, Kevin W. Boyack, and Richard Klavans. "Identifying emerging topics in science and technology." Research Policy 43, no. 8 (October 2014): 1450–67. http://dx.doi.org/10.1016/j.respol.2014.02.005.

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Stern, G. "Symposium briefs religion writers on science topics." Science 349, no. 6255 (September 24, 2015): 1466. http://dx.doi.org/10.1126/science.349.6255.1466-a.

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Liu, C., K. G. McAdam, and T. A. Perfetti. "Some Recent Topics in Cigarette Smoke Science." Mini-Reviews in Organic Chemistry 8, no. 4 (November 1, 2011): 349–59. http://dx.doi.org/10.2174/157019311797440272.

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Maurice Balik, C. "Contemporary topics in polymer science, vol. 4." Materials Science and Engineering 73 (August 1985): 222. http://dx.doi.org/10.1016/0025-5416(85)90315-5.

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Marrone, Mauricio. "Application of entity linking to identify research fronts and trends." Scientometrics 122, no. 1 (November 1, 2019): 357–79. http://dx.doi.org/10.1007/s11192-019-03274-x.

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Abstract Studying research fronts enables researchers to understand how their academic fields emerged, how they are currently developing and their changes over time. While topic modelling tools help discover themes in documents, they employ a “bag-of-words” approach and require researchers to manually label categories, specify the number of topics a priori, and make assumptions about word distributions in documents. This paper proposes an alternative approach based on entity linking, which links word strings to entities from a knowledge base, to help solve issues associated with “bag-of-words” approaches by automatically identifying topics based on entity mentions. To study topic trends and popularity, we use four indicators—Mann–Kendall’s test, Sen’s slope analysis, z-score values and Kleinberg’s burst detection algorithm. The combination of these indicators helps us understand which topics are particularly active (“hot” topics), which are decreasing (“cold” topics or past “bursty” topics) and which are maturely developed. We apply the approach and indicators to the fields of Information Science and Accounting.

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Arellano, April Moreno, Wenrui Dai, Shuang Wang, Xiaoqian Jiang, and Lucila Ohno-Machado. "Privacy Policy and Technology in Biomedical Data Science." Annual Review of Biomedical Data Science 1, no. 1 (July 20, 2018): 115–29. http://dx.doi.org/10.1146/annurev-biodatasci-080917-013416.

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Privacy is an important consideration when sharing clinical data, which often contain sensitive information. Adequate protection to safeguard patient privacy and to increase public trust in biomedical research is paramount. This review covers topics in policy and technology in the context of clinical data sharing. We review policy articles related to ( a) the Common Rule, HIPAA privacy and security rules, and governance; ( b) patients’ viewpoints and consent practices; and ( c) research ethics. We identify key features of the revised Common Rule and the most notable changes since its previous version. We address data governance for research in addition to the increasing emphasis on ethical and social implications. Research ethics topics include data sharing best practices, use of data from populations of low socioeconomic status (SES), recent updates to institutional review board (IRB) processes to protect human subjects’ data, and important concerns about the limitations of current policies to address data deidentification. In terms of technology, we focus on articles that have applicability in real world health care applications: deidentification methods that comply with HIPAA, data anonymization approaches to satisfy well-acknowledged issues in deidentified data, encryption methods to safeguard data analyses, and privacy-preserving predictive modeling. The first two technology topics are mostly relevant to methodologies that attempt to sanitize structured or unstructured data. The third topic includes analysis on encrypted data. The last topic includes various mechanisms to build statistical models without sharing raw data.

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Nguyen, Ha, and Jade Jenkins. "In or Out of Sync: Federal Funding and Research in Early Childhood." AERA Open 6, no. 4 (July 2020): 233285842097956. http://dx.doi.org/10.1177/2332858420979568.

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Understanding the relation between federal investment and research has implications for promoting science production in early childhood, a rapidly expanding area in education research and policy. Federally funded research has shaped fundamental issues in early childhood, yet few studies have systematically examined the relation between federal investment and publication output. Our study applies topic modeling and regression analyses on a text corpus of 15,608 publication and grant abstracts in early childhood education to distill the most prominent topics, and the relationship between grant funding and later publications within these topics. We find that grants topics focused on health and early intervention, while publications covered a wider interdisciplinary range. A topic’s prevalence in grants, as a proxy of federal investment, was positively associated with its prevalence in publications in the following year. The study illustrates the affordances of textual analyses and contributes insights about how federal investment motivates scholarly production.

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Key, Ellen M., and Jane Lawrence Sumner. "You Research Like a Girl: Gendered Research Agendas and Their Implications." PS: Political Science & Politics 52, no. 4 (July 10, 2019): 663–68. http://dx.doi.org/10.1017/s1049096519000945.

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ABSTRACTPolitical science, like many disciplines, has a “leaky-pipeline” problem. Women are more likely to leave the profession than men. Those who stay are promoted at lower rates. Recent work has pointed toward a likely culprit: women are less likely to submit work to journals. Why? One answer is that women do not believe their work will be published. This article asks whether women systematically study different topics than men and whether these topics may be less likely to appear in top political science journals. To answer this question, we analyzed the content of dissertation abstracts. We found evidence that some topics are indeed gendered. We also found differences in the representation of “women’s” and “men’s” topics in the pages of the top journals. This suggests that research agendas may indeed be gendered and that variation in research topic might be to blame for the submission gap.

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Shih, Chun Chao, and Ying Chih Kuo. "Development Trends and Analysis of Collaborative Learning in E-Learning Environments 1988-2019." International Journal of Mobile and Blended Learning 13, no. 3 (July 2021): 1–18. http://dx.doi.org/10.4018/ijmbl.2021070101.

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This study applies the bibliometric method to review research in collaborative learning in e-learning and analyzes the trends of research on this topic. Using quantitative tools of science mapping, 8,575 papers in the Scopus database, prior to and including 2019, were reviewed, tracing back to 1988. Retrospective analysis uncovers continuing trends in research by way of topic-related sequence and geographic differences in sub-topics by space; moreover, further analysis is undertaken on the structure of knowledge bases. This reveals that the journals of highest impact include Computers in Human Behavior, Computers & Education, and Journal of Computer Assisted Learning, while the most impactful authors are Barolli, Caballé, Chen, Daradoumis, Dimitriadis, Li, Li, Sterbini, Temperini, Tsiatsos, and Xhafa. This paper concludes that the bibliometric method can target a broad range of research; topics related to applied science and emerging technologies are still to be studied. Research topics are cross-border, not limited to geographically close nations.

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Xie, Ting, Ping Qin, and Libo Zhu. "Study on the Topic Mining and Dynamic Visualization in View of LDA Model." Modern Applied Science 13, no. 1 (December 31, 2018): 204. http://dx.doi.org/10.5539/mas.v13n1p204.

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Text topic mining and visualization are the basis for clustering the topics， distinguishing front topics and hot topics. This paper constructs the LDA topic model based on Python language and researches topic mining， clustering and dynamic visualization，taking the metrology of Library and information science in 2017 as an example. In this model，parameter and parameter are estimated by Gibbs sampling，and the best topic number was determined by coherence scores. The topic mining based on the LDA model can well simulate the semantic information of the large corpus，and make the corpus not limited to the key words. The bubble bar graph of the topic-words can present the many-to-many dynamic relationships between the topic and words.

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Turner, Patricia V., and R. Wayne Barbee. "Responsible Science and Research Animal Use." ILAR Journal 60, no. 1 (2019): 1–4. http://dx.doi.org/10.1093/ilar/ilz020.

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Abstract This issue of the ILAR Journal focuses on the topic of responsible science as it relates to animal research. We start with the concept of the scientist as a responsible citizen and then move through multiple phases of research including careful experimental planning, reporting, and incorporation of laboratory animal science. The work of the Institutional Animal Care and Use Committee (IACUC) or animal ethical/oversight body in reviewing both animal use and contributing to scientific excellence is explored. Additional topics include protection of animal handlers from multiple experimental hazards, use of agricultural animals and wildlife studies, regulatory ambiguities, and harmonization of animal research. Rounding out the issue is a discussion of how animal care and use programs can enhance animal welfare while mitigating regulatory burden, and our responsibility to clearly communicate the ethical use of animals in advancing biomedical research. A deeper understanding of these topics can assist scientists in simultaneously advancing their research and animal welfare.

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Miyata, Yosuke, Emi Ishita, Fang Yang, Michimasa Yamamoto, Azusa Iwase, and Keiko Kurata. "Knowledge structure transition in library and information science: topic modeling and visualization." Scientometrics 125, no. 1 (August 12, 2020): 665–87. http://dx.doi.org/10.1007/s11192-020-03657-5.

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Abstract The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were labeled based on the frequency of terms and the contents of the articles. These topics were plotted on a two-dimensional map using LDAvis and categorized based on their location and characteristics in the plots. Although research areas in some forms were persistent with which discovered in previous studies, they were crucial to the transition of the knowledge structure in LIS and had the following three features: (1) The Internet became the premise of research in LIS in 2015–2017. (2) Theoretical approach or empirical work can be considered as a factor in the transition of the knowledge structure in some categories. (3) The topic diversity of the five core LIS journals decreased from the 2000–2002 to 2015–2017.

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Sajid, Naseer Ahmed, Munir Ahmad, Muhammad Tanvir Afzal, and Atta-ur-Rahman. "Exploiting Papers’ Reference’s Section for Multi-Label Computer Science Research Papers’ Classification." Journal of Information & Knowledge Management 20, no. 01 (March 2021): 2150004. http://dx.doi.org/10.1142/s0219649221500040.

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The profusion of documents production at an exponential rate over the web has made it difficult for the scientific community to retrieve most relevant information against the query. The research community is busy in proposing innovative mechanisms to ensure the document retrieval in a flexible manner. The document classification is a core concept of information retrieval that classifies the documents into predefined categories. In scientific domain, classification of documents to predefined category (ies) is an important research problem and supports number of tasks such as information retrieval, finding experts, recommender systems, etc. In Computer Science, the Association for Computing Machinery (ACM) categorization system is commonly used for organizing research papers in the topical hierarchy defined by the ACM. Accurately assigning a research paper to a predefined category (ACM topic) is a difficult task especially when the paper belongs to multiple topics. In this paper, we exploit the reference section of a research paper to predict the topics of the paper. We have proposed a framework called Category-Based Category Identification (CBCI) for multi-label research papers classification. The proposed approach extracted references from training dataset and grouped them in a Topic-Reference (TR) pair such as TR {Topic, Reference}. The references of the focused paper are parsed and compared in the pair TR {Topic, Reference}. The approach collects the corresponding list of topics matched with the references in the said pair. We have evaluated our technique for two datasets that is Journal of Universal Computer Science (JUCS) and ACM. The proposed approach is able to predict the first node in the ACM topic (topic A to K) with 74% accuracy for both JUCS and ACM dataset for multi-label classification.

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Mi, Shuaishuai, Shanshan Lu, and Hualin Bi. "TRENDS AND FOUNDATIONS IN RESEARCH ON STUDENTS’ CONCEPTUAL UNDERSTANDING IN SCIENCE EDUCATION: A METHOD BASED ON THE STRUCTURAL TOPIC MODEL." Journal of Baltic Science Education 19, no. 4 (August 10, 2020): 551–68. http://dx.doi.org/10.33225/jbse/20.19.551.

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This study aims to reveal the trends and foundations in research on students’ conceptual understanding in science education. The literature was selected from three recognized journals in science education. The Structural Topic Model (STM) method was used to categorize articles into ten topics considering information about the semantic cohesion and exclusivity of words to topics. The topic, which has attracted increasing research interest, was selected using a method similar to standard regression analysis, and its changing focus was identified through an analysis of its research contents. Foundations of research about students’ conceptual understanding between 1980–1999 and 2000–2019 were obtained through a review of their top 10 most-cited papers. Three conclusions were drawn: a) there were ten sub-topics of research about students’ conceptual understanding; b) the research on the development (or pathways) of students’ scientific argumentation/reasoning is likely to attract further interest in the future; and c) compared to the studies in the first period, the studies in the second stage favor research on the description (nature, mental process, etc.) of the process of students’ conceptual understanding as the research foundation. Keywords: conceptual understanding, journal publication, structural topic model, text mining.

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Aleixandre-Tudó, J. L., L. Castelló-Cogollos, J. L. Aleixandre, and R. Aleixandre-Benavent. "Emerging topics in scientific research on global water-use efficiency." Journal of Agricultural Science 157, no. 6 (August 2019): 480–92. http://dx.doi.org/10.1017/s0021859619000789.

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AbstractA bibliometric analysis of research articles published on water-use efficiency was performed using the Web of Science database and evaluated. Journal titles, publication years, subject categories, keywords and countries publishing were obtained. A number of 2077 papers were retrieved, two-thirds of them published in the last decade. The articles were published in 439 journals, with Agricultural Water Management, Agronomy Journal, Crop Science, Field Crops Research and Indian Journal of Agricultural Sciences the most productive. Most of the leading productive journals have Impact Factors in the top quartiles of the Journal Citation Reports. Agronomy, Plant Sciences, Water Resources and Agriculture Multidisciplinary were the most common journal subject categories, indicating a wide diversity of research fields ascribed to this topic. The predominant key words and phrases used were growth, ‘carbon isotope discrimination’, yield, photosynthesis, ‘gas exchange’, evapotranspiration and ‘stomatal conductance’. The productivity ranking for countries was headed by China (456 papers), followed by the USA (410), Australia (176) and India (165). A content analysis of the papers made identification of the key issues of greatest scientific concern possible, as well as their evolution over time. The most cited papers relate to physiological aspects, but also important studies on experimental biology, drought resistance, effects of climate, crop production and ecology, among others.

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Serão, Nick V., Amy L. Petry, and Leticia P. Sanglard. "PSX-41 Late-Breaking Abstract: Self-reported statistical training of graduate students associated with confidence in performing statistical analyses." Journal of Animal Science 98, Supplement_4 (November 3, 2020): 358. http://dx.doi.org/10.1093/jas/skaa278.627.

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Abstract Training in statistical analysis is essential to Animal Science graduate student curricula. Recently, with the increased use of high-throughput technologies in Animal Science fields, graduate students need certain statistical competencies to manage and analyze so-called “Big Data.” The objective of this study was to identify the current statistical competencies associated with graduate students’ perceived confidence to perform statistical analyses. Data from a comprehensive survey of students enrolled in Animal Science-related graduate programs (n = 354; 125 M.S. and 229 Ph.D. students), representing 42 U.S. universities, were used. Students scored their competencies in 32 topics, such as analyzing ANOVA, mixed models, non-normal data, etc., using a 6-point scale: from 0 to 5, representing no to high knowledge, respectively. Confidence in performing statistical analysis (CPSA) was calculated as the sum of the scores across all topics. Participant’s CPSA scores ranged from 12 to 151, averaging 80.3±28.6. Two backward regression analyses were performed to identify factors associated with CPSA, based on the evaluation of self-perceived competencies on 30 topics covered in statistics courses: one based on their perceived received education (PRE) and one on their perceived knowledge (PK). Thirteen topics were selected (P < 0.15) in each analysis, with 7 overlapping, resulting in R-squareds of 56.9% (PRE) and 71.4% (PK). Overlapping topics included descriptive statistics, heterogeneous variances, linear regression, mean separation, mixed models, normality, and observational studies. The only topic with a negative effect on CPSA was the PK of Negative Binomial analysis, indicating graduate students with greater perceived knowledge for this topic had a lower CPSA. The perceived confidence in performing statistical analyses of Animal Science graduate students seems to increase with their perceived training and knowledge in common statistical methods, whereas statistical competencies needed in the “Big Data” era (e.g. generalized linear and multivariate methods) have limited impact or are not covered.

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Archer, Frank M. "Controversial Topics." Canadian Pharmacists Journal / Revue des Pharmaciens du Canada 143, no. 2 (March 2010): 60. http://dx.doi.org/10.3821/1913-701x-143.2.60.

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Li, Ximing, Ang Zhang, Changchun Li, Jihong Ouyang, and Yi Cai. "Exploring coherent topics by topic modeling with term weighting." Information Processing & Management 54, no. 6 (November 2018): 1345–58. http://dx.doi.org/10.1016/j.ipm.2018.05.009.

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Yakubovich, Ekaterina V. "Scientific topics in digital reality." RUDN Journal of Studies in Literature and Journalism 25, no. 1 (December 15, 2020): 177–83. http://dx.doi.org/10.22363/2312-9220-2020-25-1-177-183.

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The article presents the results of a study of more than two hundred scientific Internet resources, a significant part of which are the sites of scientific journals that have a printed version. The remaining resources are electronic industry and popular science publications, online information portals, community accounts in the blogosphere, social networks, and instant messengers. It is shown that these media products form a modern digital reality. The article presents the results of a study of more than two hundred scientific Internet resources, a significant part of which are the sites of scientific journals that have a printed version. The remaining resources are electronic industry and popular science publications, online information portals, community accounts in the blogosphere, social networks, and instant messengers. Based on the results obtained, it is shown that these media products in a special way form the modern digital reality, complicate and improve it. The creators and authors of scientific publications are journalists specializing in the field of popular science problems, scientists - representatives of the scientific community, as well as web users. The article raises the question of using a systematic approach (a complex of natural science, humanitarian and technological) when creating media resources of the scientific direction as the basis of informative-subject models of scientific and popular science media, complicating and qualitatively improving it. The creators and authors of scientific publications are also journalists specializing in the field of popular science problems, scientists - representatives of the scientific community, as well as web users, which reflects one of the modern trends in the development of media. The article raises the question of using a systematic approach (a complex of natural science, humanitarian and technological) in creating scientific media resources. This will be the basis of substantive-subject models of scientific and popular science media.

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HOČEVAR, Marjan, and Tomaž BARTOL. "Agriculture vs. social sciences: subject classification and sociological conceptualization of rural tourism in Scopus and Web of Science." Acta agriculturae Slovenica 108, no. 1 (December 8, 2016): 33. http://dx.doi.org/10.14720/aas.2016.108.1.1.

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<p>Agriculture and consumptive function of countryside (rural areas) are connected which should be reflected in scientific research. In order to test relationships, we selected the topic of rural tourism (also agritourism, agrotourism, agricultural tourism) considering sociological conceptualization (social sciences, sociology) and methodological approaches of information sciences (bibliometrics, scientometrics) in describing fields of science or scientific disciplines. We ascertained scatter of information in citation databases (Web of Science, Scopus, Google Scholar). Functionalities were evaluated, affecting search precision and recall in information retrieval. We mapped documents to Scopus subject areas as well as Web of Science (WOS) research areas and subject categories, and related publications (journals). Databases do not differ substantially in mapping this topic. Social sciences (including economics or business) occupy by far the most important place. The strongest concentration was found in tourism-related journals (consistent with power laws). Agriculture-related publications are rare, accounting for some 10 % of documents. Interdisciplinarity seems to be weak. Results point to poor inclusion of emerging social topics in agricultural research whereby agriculture may lose out in possible venues of future research.</p>

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Laslo, Esther, Ayelet Baram-Tsabari, and Bruce V. Lewenstein. "A growth medium for the message: Online science journalism affordances for exploring public discourse of science and ethics." Journalism 12, no. 7 (September 8, 2011): 847–70. http://dx.doi.org/10.1177/1464884911412709.

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Little attention has been paid to how new media foster public discussion of science-related issues. In this exploratory study, we examine discussions generated by articles on the most popular daily news website in Israel. All articles dealt with research studies that involved animal experimentation, a topic often linked to deep ethical conflicts. Based on analysis of 10 articles and more than 600 reader comments, we found that topics in both science and ethics are initiated both by the original article and in the linked discussion threads. The most fruitful topics (measured by number of comments) were initiated in the discussion threads, not in the articles themselves. We suggest that discourse in new media can be understood by thinking of the audience as a ‘growth medium’ in which seeds planted by individual stories can grow (through the affordances of new media) into both knowledge of the sort imagined by the story writers and new branches nurtured by the community itself.

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Dawson, Vaille, and Katherine Carson. "Science Teachers’ and Senior Secondary Schools Students’ Perceptions of Earth and Environmental Science Topics." Australian Journal of Environmental Education 29, no. 2 (December 2013): 202–20. http://dx.doi.org/10.1017/aee.2014.6.

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AbstractThis article presents an evaluation of a new upper secondary Earth and Environmental Science (EES) course in Western Australia. Twenty-seven EES teachers were interviewed and 243 students were surveyed about the degree of difficulty, relevance and interest of EES topics in the course. The impact of the course on students’ views about EES topics was also explored. It was found that more than two thirds of the students chose to study EES because of personal interest. However, students perceived that some Earth science topics were difficult, boring or irrelevant. A lack of content knowledge from lower secondary science contributed to these perceptions. Nevertheless, teachers and students perceived that their understanding and attitudes towards environmental science topics such as climate change was improved. With the advent of a new Australian senior secondary science curriculum that includes EES, the implications of the findings for curriculum development and teacher professional development are discussed.

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