145 research outputs found
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MOLES3: implementing an ISO standards driven data catalogue
ISO19156 Observations and Measurements (O&M) provides a standardised framework for
organising information about the collection of information about the environment. Here
we describe the implementation of a specialisation of O&M for environmental data, the
Metadata Objects for Linking Environmental Sciences (MOLES3).
MOLES3 provides support for organising information about data, and for user navigation
around data holdings. The implementation described here, “CEDA-MOLES”, also supports
data management functions for the Centre for Environmental Data Archival, CEDA.
The previous iteration of MOLES (MOLES2) saw active use over five years, being replaced
by CEDA-MOLES in late 2014. During that period important lessons were learnt
both about the information needed, as well as how to design and maintain the necessary
information systems. In this paper we review the problems encountered in MOLES2; how
and why CEDA-MOLES was developed and engineered; the migration of information
holdings from MOLES2 to CEDA-MOLES; and, finally, provide an early assessment of
MOLES3 (as implemented in CEDA-MOLES) and its limitations.
Key drivers for the MOLES3 development included the necessity for improved data provenance,
for further structured information to support ISO19115 discovery metadata export
(for EU INSPIRE compliance), and to provide appropriate fixed landing pages for Digital
Object Identifiers (DOIs) in the presence of evolving datasets. Key lessons learned
included the importance of minimising information structure in free text fields, and the
necessity to support as much agility in the information infrastructure as possible without
compromising on maintainability both by those using the systems internally and externally
(e.g. citing in to the information infrastructure), and those responsible for the systems
themselves. The migration itself needed to ensure continuity of service and traceability of
archived assets
Clinical handover: An audit from Australia
BackgroundThe Australian National Safety and Quality Health Service (NHQHS) Standards (the “Standards”) provide external criteria for hospitals to assess their practices. Since the introduction of the Standards, no Australian hospital has published a report on how its handover practices compare to these Standards.AimsTo evaluate house medical officer (HMO) shift-to-shift handover practices against the Standards at a large regional hospital.MethodAll HMOs employed by Barwon Health were invited to participate in our qualitative and quantitative study by completing an online questionnaire and taking part in a focus group.ResultsOf the 100 HMOs, 61 completed the questionnaire and 11 HMOs participated in focus groups. Questionnaire results revealed that HMOs were concerned about the quality of shift-to-shift handovers. Fifty-three per cent reported that current shift-to-shift handover practices could be putting patients at risk of adverse events. Ninety-eight per cent indicated that the handover processes could be improved. One hundred per cent of the HMOs stated that the quality of handover varies according to the doctors involved. In the focus groups, issues were raised about current handover structure, documentation, attendance, content, and training.ConclusionHMOs in the current study identified multiple deficiencies in handover practice with regard to structure, documentation, attendance, content, and training. The primary methods to improve handover include making it more structured and standardised, and to provide HMOs with handover training
Development and psychometric validation of the mental health-related barriers and benefits to EXercise (MEX) scale in healthy adults
Background: Physical exercise has been shown to reduce anxiety and depression symptoms, the most common mental health disorders globally. Despite the benefits of exercise in anxiety and depression, the symptoms of these disorders may directly contribute to a lack of engagement with exercise. However, mental health-related barriers and benefits to exercise engagement have not been addressed in quantitative research. We introduce the development and psychometric validation of the Mental health-related barriers and benefits to EXercise (MEX) scale. Methods: Three samples were collected online prospectively (sample 1 n = 492; sample 2 n = 302; sample 3 n = 303) for scale refinement and validation with exploratory and confirmatory factor analysis. All participants were generally healthy adults, aged 18–45, and had no history of severe mental illness requiring hospitalization and no physical disability impacting over 50% of daily function. Results: We identified a 30-item, two-factor model comprising 15 barrier and 15 benefit items. Overall model fit was excellent for an item-level scale across the three samples (Comparative Fit Index = 0.935–0.951; Root-Mean-Square Error of Approximation = 0.037–0.039). Internal consistency was also excellent across the three samples (α = 0.900–0.951). The barriers subscale was positively correlated with symptoms of anxiety, depression and stress, and negatively correlated with measures of physical activity and exercise engagement. The benefits subscale was negatively correlated with symptoms of anxiety, depression and stress, and positively correlated with measures of physical activity and exercise engagement. Conclusion: The MEX is a novel, psychometrically robust scale, which is appropriate for research and for clinical use to ascertain individual and/or group level mental health-related barriers and benefits to exercise
The Validity of Studies with Line of Business Data: Comment
In the March 1985 issue of this Review, George Benston found fault with Federal Trade Commission Line of Business (LB) data generally and singled out for extended criticism thirteen LB data-based papers written by the authors of this comment. Even by the pre-Queensberry rules governing eco- nomic disputation, Benston\u27s article is one- sided and negative. Moreover, it is marred by numerous errors in characterizing our work. We wish to set the record straight
Sedimentation record in the Konkan-Kerala Basin: implications for the evolution of the Western Ghats and the Western Indian passive margin
The Konkan and Kerala Basins constitute a major depocentre for sediment from the onshore hinterland of Western India and as such provide a valuable record of the timing and magnitude of Cenozoic denudation along the continental margin. This paper presents an analysis of sedimentation in the Konkan-Kerala Basin, coupledwith a mass balance study, and numerical modelling of flexural responses to onshore denudational unloading and o¡shore sediment loading in order to test competing conceptual models for the development of high-elevation passive margins. The Konkan-Kerala Basin contains an estimated 109,000 km<sup>3</sup>; of Cenozoic clastic sediment, a volume difficult to reconcile with the denudation of a downwarped rift flank onshore, and more consistent with denudation of an elevated rift flank. We infer from modelling of the isostatic response of the lithosphere to sediment loading offshore and denudation onshore that flexure is an important component in the development of the Western Indian Margin.There is evidence for two major pulses in sedimentation: an early phase in the Palaeocene, and a second beginning in the Pliocene. The Palaeocene increase in sedimentation can be interpreted in terms of a denudational response to the rifting between India and the Seychelles, whereas the mechanism responsible for the Pliocene pulse is more enigmatic
Bright spots as climate‐smart marine spatial planning tools for conservation and blue growth
publishedVersio
Adaptation and validation of the Charlson Index for Read/OXMIS coded databases
BACKGROUND: The Charlson comorbidity index is widely used in ICD-9 administrative data, however, there is no translation for Read/OXMIS coded data despite increasing use of the General Practice Research Database (GPRD). Our main objective was to translate the Charlson index for use with Read/OXMIS coded data such as the GPRD and test its association with mortality. We also aimed to provide a version of the comorbidity index for other researchers using similar datasets. METHODS: Two clinicians translated the Charlson index into Read/OXMIS codes. We tested the association between comorbidity score and increased mortality in 146 441 patients from the GPRD using proportional hazards models. RESULTS: This Read/OXMIS translation of the Charlson index contains 3156 codes. Our validation showed a strong positive association between Charlson score and age. Cox proportional models show a positive increasing association with mortality and Charlson score. The discrimination of the logistic regression model for mortality was good (AUC = 0.853). CONCLUSION: We have translated a commonly used comorbidity index into Read/OXMIS for use in UK primary care databases. The translated index showed a good discrimination in our study population. This is the first study to develop a co-morbidity index for use with the Read/OXMIS coding system and the GPRD. A copy of the co-morbidity index is provided for other researchers using similar database
Genome-wide association of functional traits linked with<i> Campylobacter jejuni </i>survival from farm to fork
Campylobacter jejuni is a major cause of bacterial gastroenteritis worldwide, primarily associated with the consumption of contaminated poultry. C. jejuni lineages vary in host range and prevalence in human infection, suggesting differences in survival throughout the poultry processing chain. From 7,343 MLST-characterised isolates, we sequenced 600 C. jejuni and C. coli isolates from various stages of poultry processing and clinical cases. A genome-wide association study (GWAS) in C. jejuni ST-21 and ST-45 complexes identified genetic elements over-represented in clinical isolates that increased in frequency throughout the poultry processing chain. Disease-associated SNPs were distinct in these complexes, sometimes organised in haplotype blocks. The function of genes containing associated elements was investigated, demonstrating roles for cj1377c in formate metabolism, nuoK in aerobic survival and oxidative respiration, and cj1368-70 in nucleotide salvage. This work demonstrates the utility of GWAS for investigating transmission in natural zoonotic pathogen populations and provides evidence that major C. jejuni lineages have distinct genotypes associated with survival, within the host specific niche, from farm to fork. </p
Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans
Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have
fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in
25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16
regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of
correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP,
while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in
Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium
(LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region.
Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant
enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the
refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa,
an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of
PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent
signals within the same regio
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