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Functions of Chinese in Secondary EFL Classroom in China 被引量:1
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作者 Mingfa Yao Caijin Zeng 《Sino-US English Teaching》 2006年第7期38-42,共5页
The use of native language in EFL teaching is very common. Although teachers avoid using it, the native language, however, is sometimes quite necessary in practical language teaching. In this paper, the authors invest... The use of native language in EFL teaching is very common. Although teachers avoid using it, the native language, however, is sometimes quite necessary in practical language teaching. In this paper, the authors investigate the use of native language (Chinese) by two teachers in English classroom, analyze and interpret the functions of Chinese in detail. We argue that far from being viewed as a random activity, use of native language can be seen as a purposeful activity. 展开更多
关键词 use of native language functions secondary EFL classroom
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Challenges using electronic nursing routine data for outcome analyses:A mixed methods study
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作者 Renate Nantschev Elske Ammenwerth 《International Journal of Nursing Sciences》 CSCD 2022年第1期92-99,I0006,共9页
Objectives To explore the challenges of secondary use of routinely collected data for analyzing nursing-sensitive outcomes in Austrian acute care hospitals.Method A convergent parallel mixed methods design was perform... Objectives To explore the challenges of secondary use of routinely collected data for analyzing nursing-sensitive outcomes in Austrian acute care hospitals.Method A convergent parallel mixed methods design was performed.We conducted a quantitative representative survey with nursing managers from 32 Austrian general acute care hospitals and 11 qualitative semi-structured interviews with nursing quality management experts.Both results were first analyzed independently and afterward merged in the discussion.Results On average,76%of nursing documentation is already electronically supported in the surveyed Austrian hospitals.However,existing nursing data is seldom used for secondary purposes such as nursing-sensitive outcome analyses.This is due to four major reasons:First,hospitals often do not have a data strategy for the secondary use of routine data.Second,hospitals partly lack the use of standardized and uniform nursing terminologies,especially for nursing evaluation.Third,routine nursing data is often not documented correctly and completely.Fourth,data on nursing-sensitive outcomes is usually collected in specific documentation forms not integrated into routine documentation.Conclusion The awareness of the possibilities for secondary use of nursing data for nursing-sensitive outcome analyses in Austrian hospitals is still in its infancy.Therefore,nursing staff and nursing management must be trained to understand how to collect and process nursing data for nursing-sensitive outcome analyses.Further studies would be interesting in order to determine the factors that influence the decision-making processes for the secondary use of nursing data for outcome analyses. 展开更多
关键词 Austria Health care quality indicators Nursing care plan Nursing informatics Routinely collected health data secondary use Standardized nursing terminology
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Integration, Cataloguing and Management of Biobanking and Clinical Data Using FAIR Genomes Metadata Schema
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作者 Radoslava Kacová TomášHoufek +6 位作者 Ondřej Horký Jan Kuráň Radovan Tomášik Michal Růžička Roman Hrstka Vít Nováček Zdenka Dudová 《Data Intelligence》 2025年第1期163-184,共22页
In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and o... In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and opportunities in managing hospital-generated data, particularly within the Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic. Utilizing Next-Generation Sequencing (NGS) technology, MMCI generates substantial volumes of genomic data. Due to inadequate curation, these data remain difficult to integrate with clinical records for secondary use (such as personalised treatment outcome prediction and patient stratification based on their genomic profiles). This paper proposes solutions based on the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) to enhance data sharing and reuse. The primary output of our work is the development of an automated pipeline that continuously processes and integrates NGS data with clinical and biobank information upon their creation. It stores the data in a special secured repository for sensitive data in a structured form to ensure smooth retrieval. 展开更多
关键词 FAIR data point FAIR principles METADATA Interoperability secondary use of healthcare data Hospital-generated data Genomic data Data sharing
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