5,762 research outputs found

    Data Extract: Mining Context from the Web for Dataset Extraction

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    Qualification achievement rates data extract guidance 2018 to 2019. Version 2: August 2019

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    Benchmarking database systems for Genomic Selection implementation

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    Motivation: With high-throughput genotyping systems now available, it has become feasible to fully integrate genotyping information into breeding programs. To make use of this information effectively requires DNA extraction facilities and marker production facilities that can efficiently deploy the desired set of markers across samples with a rapid turnaround time that allows for selection before crosses needed to be made. In reality, breeders often have a short window of time to make decisions by the time they are able to collect all their phenotyping data and receive corresponding genotyping data. This presents a challenge to organize information and utilize it in downstream analyses to support decisions made by breeders. In order to implement genomic selection routinely as part of breeding programs, one would need an efficient genotyping data storage system. We selected and benchmarked six popular open-source data storage systems, including relational database management and columnar storage systems. Results: We found that data extract times are greatly influenced by the orientation in which genotype data is stored in a system. HDF5 consistently performed best, in part because it can more efficiently work with both orientations of the allele matrix

    Researching in-between experience and reality

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    In this article, we draw on LORENZER's method in our analysis of a single case data extract derived from a research project generating data through the Tavistock Infant Observation tradition. The partial case analysis demonstrates our methodological approach and explores conceptual territory at the meeting point of German and British psychoanalytically-informed traditions. Our scenic composition synthesised key elements of one observation visit to the home of a young black first-time mother in London. LORENZER's advice to the cultural analyst to explore what irritates or provokes in the scene has something in common with the way that observers in the infant observation tradition use their emotional responses and process their experience. The aim is to provide access to what WINNICOTT described as an intermediate area of experience and LORENZER considered "in-between". We explore this area through two provocations in our scenic composition. Using these data examples we ask: is it possible to conceptualise collective, societal-cultural unconscious processes (LORENZER's gesellschaftlich-kollektives Unbewußtes, 1986) within this intermediate area? Specifically, how is racial and class difference present in the scene? How can it be located through scenic understanding of research data? And why does it matter

    The gains and losses of face in ongoing intercultural interaction: A case study of Chinese participant perspectives

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    Given the small number of existing studies of face in intercultural settings and the increasing attention given to participant perspectives in face research, this paper explores the gains and losses of face as perceived by Chinese government officials during a three-week delegation visit to the United States of America. These perspectives were obtained from the group’s spontaneous discussions during regular evening meetings when they reflected on the day’s events. Several key features emerged from the discussions. Firstly, face enhancement was a primary goal for the visit – enhancement of their own face as a delegation, of the face of the Ministry they belonged to, as well as the face of their American hosts. Secondly, the delegates attempted to manage these face goals strategically. Thirdly, they spoke of face as a volatile image that could rise and fall sharply and yet endured across incidents, days and weeks. The paper reports on and discusses these participant perspectives in the light of recent theorizing on face

    Data Quality: Integral to CAUTI Surveillance and Improvement in Non-Critical Care Units

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    Background: Urinary tract infections (UTIs) are the most common type of healthcare-acquired infection (HAI), with 75% approximately associated with urinary catheter use. The key to preventing UTIs is to avoid the use of indwelling urinary catheters (IUCs). This study explores denominator data extract logic modifications to increase IUC data capture and accuracy. It is set in a 249-bed acute care, teaching hospital in the Diablo Service Area in Northern California. Problem: The electronic system used to extract the CAUTI denominator data is inconsistently capturing the IUC device days from the electronic medical record (EMR). This has regulatory reporting ramifications and negatively impacts CAUTI metrics, specifically the Standardized Infection Ratio (SIR) and the Urinary Catheter Standardized Utilization Ratio (SUR). Interventions: Enhancing the Infoview Foley Days report aims to maximize device capture and increase data accuracy. The three-pronged approach involves modifying the extract logic to focus on individual inpatient encounters, applying inpatient admission status as the date of admission, and modifying the data extract time. Outcome Measures: Two hundred forty Infoview cases validated against the EMR from January to June 2023 yielded 100% data capture and accuracy, exceeding intervention targets. Results: Data extract logic modification using the set criteria and applying additional exclusion criteria improved the CAUTI denominator data quality by 40%. Conclusion: Infoview modification increased the data quality for CAUTI surveillance and reporting, also improving the CAUTI SUR. The improved SUR is utilized as an adjunct to the CAUTI SIR for tailored data-driven infection prevention initiatives. The project’s success led to the implementation of the revised logic across the Northern California hospital system and will be rolled out as the enterprise-wide model for standardized CAUTI denominator data extract

    Professional autonomy in 21st century healthcare: nurses’ accounts of clinical decision-making

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    Autonomy in decision-making has traditionally been described as a feature of professional work, however the work of healthcare professionals has been seen as steadily encroached upon by State and managerialist forces. Nursing has faced particular problems in establishing itself as a credible profession for reasons including history, gender and a traditional subservience to medicine. This paper reports on a focus group study of UK nurses participating in post-qualifying professional development in a London university in 2008. Three groups of nurses in different specialist areas comprised a total of 26 participants. The study uses accounts of decision-making to gain insight into contemporary professional nursing. The study also aims to explore the usefulness of a theory of professional work set out by Jamous and Peloille in 1970. The analysis draws on notions of interpretive repertoires and elements of narrative analysis. We identified two interpretive repertoires: ‘clinical judgement’ which was used to describe the different grounds for making judgements; and ‘decision-making’ which was used to describe organisational circumstances influencing decision-making. Jamous and Peloille’s theory proved useful for interpreting instances where the nurses collectively withdrew from the potential dangers of too extreme claims for technicality or indeterminacy in their work. However, their theory did not explain the full range of accounts of decision-making that were given. Taken at face value, the accounts from the participants depict nurses as sometimes practising in indirect ways in order to have influence in the clinical and bureaucratic setting. However, a focus on language use and in particular, interpretive repertoires, has enabled us to suggest that despite an overall picture of severely limited autonomy, nurses in the groups reproduced stories of the successful accomplishment of moral and influential action
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