Migrating to Full Text Finder: A Case Study

2019 ◽  
Vol 77 (3-4) ◽  
pp. 113-123
Author(s):  
Alice L. Daugherty
Keyword(s):  
Full Text

SYSTEMATIC REVIEW: EFEKTIFITAS METODE HANDOVER DALAM MENINGKATKAN KOMUNIKASI PERAWAT

2017 ◽  
Author(s):  
Hani Tuasikal
Keyword(s):  
Systematic Review ◽  
Data Base ◽  
Full Text ◽  
Advanced Search ◽  
Google Search

Latar belakang: Pelaksanaan handover di RS berkiatan erat dengan dengan peran perawat dalam menggunakan metode pada saat pergantian shift. Oleh karena itu, untuk meningkatkan komunikasi diantara perawat dibutuhkan metode-metode yang efektif dalam metode-melakukan handover. Adapun metode yang digunakan adalah verbal, dengan catatan, melalui telepon dan SBAR. Metode: Penelusuran literature data base dari EBSCO, sciendirect, google search dan PubMed dari tahun 2005-2015 dilakukan menggunakan advanced search keyword yang dipilih dalam pencarian adalah handover communication, patien savety. Pencarian dibatasi pada tahun 2005-2015, full text, dan harus yang berbahasa inggris. Setelah dilakukan search ditemukan 171 artikel pada sciendirect, 23 artikel pada PubMed, dan 32 artikel pada ebscho dan yang sesuai dengan kriteria inklusi adalah 6 artikel. 6 artikel tersebut sesuai dengan kriteria study yaitu RCTs, Cohor, Case Study dan Systematic Review. Responden dalam artikel ini adalah perawat yang melakukan handover. Intervensi yang dilakukan adalah metode-metode handover. Outcome meningkatkan komunikasi antar perawat. Hasil: temuan berupa 6 artikel hasil pembahasan menunjukan bahwa metode handover dengan SBAR sangat efektif untuk meningkatkan komunikasi antar perawat. Kesimpulan: Metode SBAR sangat efektif digunakan dalam handover. Dengan metode ini, dapat mengoptimalkan komunikasi antar perawat dalam melakukan handover di setiap pergantian shif.

scholarly journals The recipes of Philosophy of Science: Characterizing the semantic structure of corpora by means of topic associative rules

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242353
Author(s):  
Christophe Malaterre ◽  
Jean-François Chartier ◽  
Francis Lareau
Keyword(s):  
Philosophy Of Science ◽  
Full Text ◽  
Topic Modeling ◽  
Semantic Content ◽  
Semantic Structure ◽  
Language Generation ◽  
Topological Features ◽  
Text Content ◽  
F Measure

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.

Task design and assignment of full-text generation on mass Chinese historical archives in digital humanities

2020 ◽  
Vol 72 (2) ◽  
pp. 262-286
Author(s):  
Jihong Liang ◽  
Hao Wang ◽  
Xiaojing Li
Keyword(s):  
Full Text ◽  
Character Recognition ◽  
Digital Humanities ◽  
Task Design ◽  
Text Generation ◽  
Content Type ◽  
Historical Archives ◽  
Archival Documents ◽  
Effective Design

PurposeThe purpose of this paper is to explore the task design and assignment of full-text generation on mass Chinese historical archives (CHAs) by crowdsourcing, with special attention paid to how to best divide full-text generation tasks into smaller ones assigned to crowdsourced volunteers and to improve the digitization of mass CHAs and the data-oriented processing of the digital humanities.Design/methodology/approachThis paper starts from the complexities of character recognition of mass CHAs, takes Sheng Xuanhuai archives crowdsourcing project of Shanghai Library as a case study, and makes use of the theories of archival science, including diplomatics of Chinese archival documents, and the historical approach of Chinese archival traditions as the theoretical basis and analysis methods. The results are generated through the comprehensive research.FindingsThis paper points out that volunteer tasks of full-text generation include transcription, punctuation, proofreading, metadata description, segmentation, and attribute annotation in digital humanities and provides a metadata element set for volunteers to use in creating or revising metadata descriptions and also provides an attribute tag set. The two sets can be used across the humanities to construct overall observations about texts and the archives of which they are a part. Along these lines, this paper presents significant insights for application in outlining the principles, methods, activities, and procedures of crowdsourced full-text generation for mass CHAs.Originality/valueThis study is the first to explore and identify the effective design and allocation of tasks for crowdsourced volunteers completing full-text generation on CHAs in digital humanities.

scholarly journals Climate Change, Tourism and Livelihood: A case Study of Manaslu Region of Nepal

2019 ◽  
Vol 20 ◽  
pp. 152-172
Author(s):  
L. K. Shrestha ◽  
T. P. Devkota
Keyword(s):  
Climate Change ◽  
Full Text

Available with full text.

scholarly journals Degree nursing at the University of Fort Hare- A descriptive case study

1998 ◽  
Vol 3 (1) ◽  
pp. 24-29
Author(s):  
Leigh Evertse
Keyword(s):  
Nursing Education ◽  
Full Text ◽  
Education And Training ◽  
Descriptive Case Study ◽  
University Of Fort Hare ◽  
The University ◽  
Graduate Nursing ◽  
And Training

This case study traces and records the background to the introduction of graduate nursing education and training within the Ciskei.OpsommingIn hierdie studie word die inleiding van graad verpleegkunde opieiding binne Ciskei nagevors en opgeteken. *Please note: This is a reduced version of the abstract. Please refer to PDF for full text.

scholarly journals The Impact of Systematic Review Automation Tools on Methodological Quality and Time Taken to Complete Systematic Review Tasks: Case Study

10.2196/24418 ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e24418
Author(s):  
Justin Clark ◽  
Catherine McFarlane ◽  
Gina Cleo ◽  
Christiane Ishikawa Ramos ◽  
Skye Marshall
Keyword(s):  
Systematic Review ◽  
Error Rate ◽  
Full Text ◽  
Methodological Quality ◽  
Error Rates ◽  
Level Of Evidence ◽  
The Difference ◽  
Time Required ◽  
The Impact

Background Systematic reviews (SRs) are considered the highest level of evidence to answer research questions; however, they are time and resource intensive. Objective When comparing SR tasks done manually, using standard methods, versus those same SR tasks done using automated tools, (1) what is the difference in time to complete the SR task and (2) what is the impact on the error rate of the SR task? Methods A case study compared specific tasks done during the conduct of an SR on prebiotic, probiotic, and synbiotic supplementation in chronic kidney disease. Two participants (manual team) conducted the SR using current methods, comprising a total of 16 tasks. Another two participants (automation team) conducted the tasks where a systematic review automation (SRA) tool was available, comprising of a total of six tasks. The time taken and error rate of the six tasks that were completed by both teams were compared. Results The approximate time for the manual team to produce a draft of the background, methods, and results sections of the SR was 126 hours. For the six tasks in which times were compared, the manual team spent 2493 minutes (42 hours) on the tasks, compared to 708 minutes (12 hours) spent by the automation team. The manual team had a higher error rate in two of the six tasks—regarding Task 5: Run the systematic search, the manual team made eight errors versus three errors made by the automation team; regarding Task 12: Assess the risk of bias, 25 assessments differed from a reference standard for the manual team compared to 20 differences for the automation team. The manual team had a lower error rate in one of the six tasks—regarding Task 6: Deduplicate search results, the manual team removed one unique study and missed zero duplicates versus the automation team who removed two unique studies and missed seven duplicates. Error rates were similar for the two remaining compared tasks—regarding Task 7: Screen the titles and abstracts and Task 9: Screen the full text, zero relevant studies were excluded by both teams. One task could not be compared between groups—Task 8: Find the full text. Conclusions For the majority of SR tasks where an SRA tool was used, the time required to complete that task was reduced for novice researchers while methodological quality was maintained.

scholarly journals Use of different bivariate statistical landslide susceptibility methods: A case study of Khulekhani watershed, Nepal

2012 ◽  
Vol 44 ◽  
pp. 1-12 ◽  
Author(s):  
Ananta Man Singh Pradhan ◽  
Anurag Dawadi ◽  
Yun Tae Kim
Keyword(s):  
Full Text ◽  
Landslide Susceptibility

Available with full text.

scholarly journals Negotiating a Text Mining License for Faculty Researchers

2014 ◽  
Vol 33 (3) ◽  
pp. 5 ◽  
Author(s):  
Leslie A. Williams ◽  
Lynne M Fox ◽  
Christophe Roeder ◽  
Lawrence Hunter
Keyword(s):  
Text Mining ◽  
Language Processing ◽  
Full Text ◽  
Publishing Industry ◽  
Journal Articles ◽  
Data Set ◽  
Pubmed Central ◽  
Extensible Markup ◽  
The Right

<p>This case study examines strategies used to leverage the library’s existing journal licenses to obtain a large collection of full-text journal articles in extensible markup language (XML) format; the right to text mine the collection; and the right to use the collection and the data mined from it for grant-funded research to develop biomedical natural language processing (BNLP) tools. Researchers attempted to obtain content directly from PubMed Central (PMC). This attempt failed due to limits on use of content in PMC. Next researchers and their library liaison attempted to obtain content from contacts in the technical divisions of the publishing industry. This resulted in an incomplete research data set. Then researchers, the library liaison, and the acquisitions librarian collaborated with the sales and technical staff of a major science, technology, engineering, and medical (STEM) publisher to successfully create a method for obtaining XML content as an extension of the library’s typical acquisition process for electronic resources. Our experience led us to realize that text mining rights of full-text articles in XML format should routinely be included in the negotiation of the library’s licenses.</p>

Full-text search capability: a new tool for researching the development of scientific language. The ‘Whirlpool Nebula’ as a case study

2008 ◽  
Vol 62 (2) ◽  
pp. 187-196 ◽  
Author(s):  
William Tobin
Keyword(s):  
Full Text ◽  
Spiral Structure ◽  
British Library ◽  
Scientific Language ◽  
Text Search ◽  
Full Text Search ◽  
Online Databases ◽  
Online Newspaper ◽  
Search Capability

Burgeoning numbers of books and periodicals from earlier centuries are becoming available in online databases such as the British Library Online Newspaper Archive, the Making of America collection, the Million Book Project, the Gallica Project, Google Book Search and the Royal Society's Digital Journal Archive. For those databases that offer it, full-text search capability provides the historian with a novel tool for researching the origin and development of scientific language. A case study is given concerning the adoption of the ‘whirlpool’ epithet for Messier 51 (the astronomical nebula in which the Third Earl of Rosse first discovered spiral structure in 1845). This illustrates the power of the tool but also reveals some limitations. In particular, access to originals is still often necessary. Unexpectedly, the astronomical appropriation of ‘whirlpool’ predates Rosse's discovery.

scholarly journals PubMed Central as a platform for the survival of open-access biomedical society journals published in Korea

2021 ◽  
Vol 8 (2) ◽  
pp. 153-158
Author(s):  
Sun Huh
Keyword(s):  
Full Text ◽  
Journal Article ◽  
Biomedical Journal ◽  
Xml Database ◽  
Pubmed Central ◽  
Biomedical Journals ◽  
International Diversity ◽  
History Of ◽  
Present Case Study

Twenty-one years have passed since PubMed Central (PMC) launched. The present case study describes Korean editors’ history of participation in PMC and their contributions to PMC. The three main turning points in the history of Korean editors’ involvement with PMC were as follows: first, the production of PMC XML files and deposition starting in 2008; second, thorough evaluations of applying journals since 2014; and third, the feasibility of non-English journals being indexed in PMC starting in 2019. The importance of PMC is further shown by the fact that KoreaMed Synapse, a full-text XML database of biomedical journals in Korea that was launched in 2007, was created by benchmarking PMC. Scholarly societies or institutes publish 724 (34.2%) of the 2,119 PMC journals without embargo in June 2021. Out of those 724 journals, 127 (17.5%) are published in Korea. PMC has helped local journals receive more citations from researchers worldwide, increasing their likelihood of being indexed in international databases. The number of submissions from international researchers has increased, thereby making it possible for journals to achieve international diversity. As the best full-text platform of biomedical journals, PMC has provided an excellent opportunity for biomedical journal editors in Korea to change their journals’ language to English and produce full-text JATS (Journal Article Tag Suite) XML files. These factors have made Korea the second-ranked country in terms of no-embargo PMC journals published by academic societies or institutes.

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