Science and Technology Libraries最新文献

{"title":"Mapping Knowledge and Themes Trends in the Cybersecurity of Medical Devices: A Bibliometric Investigation","authors":"Othman A. Alfahad, Tanzeel Ur Rehman, Alexander Woodman, Emad Abdulhadi Malaekah, Mohammad Rasheed","doi":"10.1080/0194262x.2023.2274547","DOIUrl":"https://doi.org/10.1080/0194262x.2023.2274547","url":null,"abstract":"ABSTRACTThe cybersecurity of medical devices has gained a high priority among health technology professionals. As researchers and scientists continue to discover new uses for innovative devices, their numbers are steadily growing. These devices (and systems of devices) perform increasingly complex functions and are mostly software or computer-based. To improve efficiency and reliability, more devices are being integrated into larger hospital networks or even outside of them. The aim of this study is to provide an overview of the current state of medical device cybersecurity research by identifying key authors, institutions, and journal publishers, key concepts, methodologies, and technologies that are often discussed in the context of medical devices. The current study is a bibliometric analysis. The Scopus database related to the cyber security of medical devices was searched. MS Excel (Office-365), VOS viewer (version 1.6.18), and Biblioshiny (version 4.2.2) were utilized for the analysis and visualization of the selected documents. A total of 267 related documents were found in the first search. 122 inclusive articles showed the majority of work in this field has been done in the United States (US), with a total of 56 highly cited publications. India and the United Kingdom (UK) with emerging technology hubs, ranked second and third in this technology race, respectively. Kevin Fu is cited most frequently, with an average of 44.5 citations per publication. The analysis revealed a significant increase in research output in the past decade, indicating a growing concern and awareness regarding cybersecurity issues in medical devices. This trend underscores the recognition of the potential risks associated with these devices. Collective efforts must be made to improve the safety of medical devices and ensure the safety of health technologies in general by addressing identified research topics and trends, collaborating within existing networks, and considering policy and regulatory implications.KEYWORDS: Bibliometric studycybersecuritymedical devicespatient safetyprivacy of data AcknowledgmentsThe authors acknowledge the valuable insights provided by the scholarly community whose articles have been cited and referenced in this manuscript. They express gratitude to the authors, editors, and publishers of the articles, journals, and books that were reviewed and discussed while conducting the literature review for this article.Disclosure statementNo potential conflict of interest was reported by the author(s).Consent for publicationEach author agrees to the publication of personally identifiable information contained in the submission in the Journal.CRediT author statementOthman A Alfahad*: Conceptualization, Methodology, Software Tanzeel Ur Rehman*: Methodology, Software, Data curation, Writing- Original draft preparation. Alexander Woodman: Validation, writing – reviewing, editing Emad Abdulhadi Malaekah: Data visualization Mohammad Rasheed: Supervisi","PeriodicalId":39556,"journal":{"name":"Science and Technology Libraries","volume":"25 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270893","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":"Redesigning Tertiary Educational Evaluation with AI: A Task-Based Analysis of LIS Students’ Assessment on Written Tests and Utilizing ChatGPT at NSTU","authors":"Shamima Yesmin","doi":"10.1080/0194262x.2023.2269230","DOIUrl":"https://doi.org/10.1080/0194262x.2023.2269230","url":null,"abstract":"","PeriodicalId":39556,"journal":{"name":"Science and Technology Libraries","volume":"21 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134909098","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":"Measuring the Uptake of Pharmacoepidemiologic Research Through Qualitative Analysis of Citations: A Case Study from a Canadian Network of Researchers","authors":"Robyn L. Traynor, Wusiman Aibibula, Kristian B. Filion, Samuel A. Stewart, Ingrid S. Sketris, Melissa Helwig","doi":"10.1080/0194262x.2023.2242430","DOIUrl":"https://doi.org/10.1080/0194262x.2023.2242430","url":null,"abstract":"ABSTRACTHealth research, including drug safety research, is communicated, in part, by being cited; understanding these citations can help determine its reach and impact. We analyzed the uptake of a Canadian Network for Observational Drug Effect Studies study of the heart failure risk of incretin-based drugs using quantitative and qualitative bibliometric approaches. A Scopus® search (2016–2020) returned 127 citing articles, mostly single studies and review articles. Many were also high impact journals, with intended audiences of other researchers, policy makers, and practitioners. Using the Becker Model, 93% contributed to “advancing knowledge.” Research impact can be difficult to establish. We have demonstrated one comprehensive approach that can be further adapted and automated; researchers and funders need to determine the best indicators, tools, and frameworks to use that are feasible and context relevant.KEYWORDS: Bibliometricscitationsincretinspharmacoepidemiologyresearch impact AcknowledgmentsThe authors wish to acknowledge Master of Library and Information Studies (MLIS) interns, Cora-Lynn Munroe-Lynds and Ally Patton, for their assistance with data extraction; Natasha Rodney-Cail, for her assistance with manuscript preparation; and Dr. Melissa Rothfus, for her assistance with final manuscript review.Disclosure statementRLT, WA, KBF, ISS, and SAS have received salary support, in part, from CIHR for CNODES. KBF is supported by a senior salary support award from the Fonds de recherche du Québec - santé (Quebec Foundation for Research – Health) and a William Dawson Scholar award from McGill University. WA was employed by Lady Davis Institute for Medical Research, Montreal, Quebec, Canada at the time of this work; he is now employed by Complete HEOR Solutions, Montreal, Quebec, Canada.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/0194262X.2023.2242430Notes1. Pharmacoepidemiology is “the study of the use of and effects of drugs in large numbers of people;” it applies epidemiological methods to pharmacological questions (Strom Citation2019).2. CIHR and Health Canada have since transferred responsibility for the work of DSEN to the Canadian Agency for Drugs and Technologies in Health (CADTH), which launched its Post-Market Drug Evaluation (PMDE) Program on September 1, 2022 (CADTH Citation2022).3. The incretin-based drugs studied in Filion et al. (Citation2016) were DPP-4 inhibitors (sitagliptin, vildagliptin, saxagliptin) and GLP-1 analogs (exenatide, liraglutide).4. Study data were collected and managed using REDCap electronic data capture tools hosted at Dalhousie University (https://projectredcap.org/resources/citations/) (Harris et al. Citation2009, Citation2019).5. List of citations available on Borealis (https://borealisdata.ca/).Additional informationFundingThe Canadian Network for Observational Drug Effect Studies (CNODES) is funded by the Canadian Institutes of Health Researc","PeriodicalId":39556,"journal":{"name":"Science and Technology Libraries","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136210273","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":"Purpose of Using e-ShodhSindhu by Indian Institute of Technology Faculty: A Study","authors":"Harish H T","doi":"10.1080/0194262x.2023.2255995","DOIUrl":"https://doi.org/10.1080/0194262x.2023.2255995","url":null,"abstract":"The study is about the purpose of using e-ShodhSindhu e-Resources by Indian Institute of Technology faculty in India. Professors, Associate Professors and Assistant Professors of selected seven Indian Institute of Technology were used as samples for the study. Objectives: To find out the core purpose and augmented purpose of using e-ShodhSindhu e-Resources, to know the advantages of using e-ShodhSindhu e-Resources, to know the importance, to know the satisfaction and to find out IIT faculty will recommend e-ShodhSindhu e-Resources to others. Methodology: The survey and questionnaire methods were used to gather data. Seven hundred and seventy questionnaires were distributed to selected Indian Institute of Technology (seven Indian IITs). Results and discussions: Most of the respondents are from IIT Bombay, the majority of the respondents are male, it is evident that users between the ages of 36 and 45 are the majority, majority of the respondents are Professors, research is the core purpose of using e-ShodhSindhu e-Resources, the highest mean value of 4.42 is for to-be-up-to-date in subject IIT faculty use e-ShodhSindhu e-Resources, the majority of IIT faculty thinks that searchability and convenient to use are the advantages of using e-ShodhSindhu e-Resources, majority of IIT faculty think that information content and coverage by e-ShodhSindhu is useful and IIT faculty members are satisfied with e-ShodhSindhu e-Resources.","PeriodicalId":39556,"journal":{"name":"Science and Technology Libraries","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739168","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":"Married Indonesian Women’s Everyday Health-Information Literacy Related to COVID-19","authors":"Yeni Budi Rachman, Mad Khir Johari Abdullah Sani, Margareta Aulia Rachman, Tamara Adriani Salim","doi":"10.1080/0194262x.2023.2256002","DOIUrl":"https://doi.org/10.1080/0194262x.2023.2256002","url":null,"abstract":"ABSTRACTThis paper presents a study about the everyday health information literacy (EHIL) related to COVID-19 of 394 married women in a suburban city in West Java Province, Indonesia. This study aimed to understand married Indonesian women’s EHIL related to COVID-19 and identify topics searched for by married Indonesian women on everyday health information related to COVID-19. The findings reveal that most married Indonesian women studied had a relatively high level of health information literacy regarding COVID-19 (3.81 mean value) and tended to search for healthy lifestyle topics related to COVID-19 for daily health information (n = 298, 75.63%).KEYWORDS: COVID-19EHILeveryday health information literacyinformation literacymarried women Disclosure statementNo potential conflict of interest was reported by the author(s).Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/0194262X.2023.2256002Additional informationFundingThis work was supported by Direktorat Riset dan Pengembangan Universitas Indonesia under Grant Publikasi Terindeks Internasional (PUTI) Q2. Year 2022-2023 (Batch 2) [Grant Number NKB-1205/UN2/RST/HKP.05.00/2022].Universitas Indonesia. We would like to thank Shuri Mariasih Gietty Tambunan and Academic Writing Center Faculty of Humanities, Universitas Indonesia, for their assistance in the language review process.","PeriodicalId":39556,"journal":{"name":"Science and Technology Libraries","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136308623","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":"Impact of Conversational and Generative AI Systems on Libraries: A Use Case Large Language Model (LLM)","authors":"Rahat Khan, Nidhi Gupta, Atasi Sinhababu, Rupak Chakravarty","doi":"10.1080/0194262x.2023.2254814","DOIUrl":"https://doi.org/10.1080/0194262x.2023.2254814","url":null,"abstract":"The study aims to examine how artificial intelligence (AI) could potentially affect specific services provided by academic libraries in the near future. To achieve this, the study uses three different Generative AI systems: ChatGPT, Perplexity, and iAsk.Ai. By analyzing the potential impact of AI on academic library services, the study aims to provide insights into how libraries can adapt to these changes to better serve their patrons. The three AI systems selected for this study represent different AI approaches that can be used in academic libraries. ChatGPT, for example, is a conversational AI system that can provide quick answers to patrons’ queries, while Perplexity is a language model that can assist with tasks such as cataloging and content classification. iAsk.Ai is a natural language processing (NLP) system that can assist with research and reference inquiries. By assessing the potential impact of these AI systems on academic library services, the study can provide insights into the future of library services and how AI could be used to enhance them. Ultimately, this could help academic libraries prepare for and adapt to the changing technological landscape, ensuring that they continue to meet the needs of their patrons in the years to come.","PeriodicalId":39556,"journal":{"name":"Science and Technology Libraries","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979894","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}