122 research outputs found
Understanding information professionals: a survey on the quality of Linked Data sources for digital libraries
In this paper we provide an in-depth analysis of a survey
related to Information Professionals (IPs) experiences with Linked Data
quality. We discuss and highlight shortcomings in linked data sources
following a survey related to the quality issues IPs find when using such
sources for their daily tasks such as metadata creation
Single shot, temporally and spatially resolved measurements of fast electron dynamics using a chirped optical probe
A new approach to rear surface optical probing is presented that permits multiple, time-resolved 2D measurements to be made during a single, ultra-intense ( > 1018 W cm−2) laser-plasma interaction. The diagnostic is capable of resolving rapid changes in target reflectivity which can be used to infer valuable information on fast electron transport and plasma formation at the target rear surface. Initial results from the Astra-Gemini laser are presented, with rapid radial sheath expansion together with detailed filamentary features being observed to evolve during single shots
THE EFFECT OF A GAME-SPECIFIC SHORT TERM FATIGUE PROTOCOL ONKICKING IN AUSTRALIAN FOOTBALL
The purpose of this study was to three dimentionally evaluate the effects of a short term game specific fatigue protocol on the kinetics of elite and sub-elite Australian Footballers (AF) during a drop punt kick. Five AF players performed kicks pre and post fatigue protocol. Three dimensional data of the pelvis and kick leg was obtained using a three tower optotrak Certus system (200Hz) and joint torques and moments were calculated in Visual 3D from kick foot toe off until ball contact. Sprint time indicated the protocol induced fatigue. Hip flexion torque significantly increased following fatigue indicating a change in movement strategy similar to that found for jump landing. This greater hip reliant post-fatigue kicking strategy has implications for both skill enhancement and injury prevention
TIKD: A trusted integrated knowledge dataspace for sensitive healthcare data sharing
This paper presents the Trusted Integrated Knowledge Dataspace (TIKD), a new dataspace, based on linked data technologies and trusted data sharing, that supports integrated knowledge graphs for sensitive application environments such as healthcare. State-of-the-art shared dataspaces do not consider sensitive data and privacy-aware log records as part of their solutions, defining only how to access data. TIKD complements dataspace security approaches through trusted data sharing that considers personal data handling, data privileges, pseudonymization of user activity logging, and privacy-aware data interlinking services. TIKD was implemented on the Access Risk Knowledge(ARK) Platform, a socio-technical risk governance system, and deployed as part of the ARK-Virus Project which aims to govern the risk management of Personal Protection Equipment (PPE)across a group of collaborating healthcare institutions. The ARK Platform was evaluated, both before and after implementing the TIKD, using the ISO 27001 Gap Analysis Tool (GAT) which determines compliance with the information security standard.The results of the evaluation indicated that compliance with ISO 27001 increased from 50% to 85%. The evaluation also provided a set of recommended actions to meet the remaining requirements of the ISO 27001 standard. TIKD provides a collaborative environment, based on knowledge graph integration and GDPR-compliant personal data handling, as part of the data security infrastructure. As a result of this work, a new trusted data security methodology, based on personal data handling,data privileges, access control context specification, and privacy-aware data interlinking, was developed using a knowledge graph approac
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Tracer tests in a fractured dolomite: 3. Double-porosity, multiple-rate mass transfer processes in convergent flow tracer tests
Convergent flow tracer tests conducted in the Culebra dolomite (Rustler Formation, New Mexico) are analyzed with both single- and multiple-rate, double-porosity models. Parameter estimation is used to determine the mean and standard deviation of a lognormal distribution of diffusion rate coefficients as well as the advective porosity and longitudinal dispersivity. At two different test sites both multirate and single-rate models are capable of accurately modeling the observed data. The single-well injection-withdrawal test provides more precise estimates of the mass transfer parameters than the convergent flow tracer tests. Estimation of the multirate distribution parameters is consistent across locations for the two types of tests. Limits of resolution are calculated for the multirate distribution, and these limits explain the precision with which the standard deviation of the multirate distribution can be estimated. These limits also explain the necessary increase in the advective porosity for the single-rate model at one location and not the other. Implications of the multirate mass transfer model at time and length scales greater than those of the tracer tests include the instantaneous equilibrium of a significant fraction of the matrix and the possibility of a fraction of the diffusive porosity not reaching an equilibrium solute concentration at long times.Keywords: Hydrology, Groundwater transpor
ARK-Virus: an ARK platform extension for mindful risk governance of personal protective equipment use in healthcare
In this demonstration we present the Access Risk Knowledge (ARK) Platform - a socio-technical risk governance system. Through the ARK Virus Project, the ARK Platform has been extended for risk management of personal protective equipment (PPE) in healthcare settings during the COVID-19 pandemic. ARK demonstrates the benefits of a Semantic Web approach for supporting both the integration and classification of qualitative and quantitative PPE risk data, across multiple healthcare organisations, in order to generate a unique unified evidence base of risk. This evidence base could be used to inform decision making processes regarding PPE use
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Tracer tests in a fractured dolomite: 2. Analysis of mass transfer in single-well injection-withdrawal tests
We investigated multiple-rate diffusion as a possible explanation for observed behavior in a suite of single-well injection-withdrawal (SWIW) tests conducted in a fractured dolomite. We first investigated the ability of a conventional double-porosity model and a multirate diffusion model to explain the data. This revealed that the multirate diffusion hypothesis/model is consistent with available data and is capable of matching all of the recovery curves. Second, we studied the sensitivity of the SWIW recovery curves to the distribution of diffusion rate coefficients and other parameters. We concluded that the SWIW test is very sensitive to the distribution of rate coefficients but is relatively insensitive to other flow and transport parameters such as advective porosity and dispersivity. Third, we examined the significance of the constant double-log late time slopes (−2.1 to −2.8), which are present in several data sets. The observed late time slopes are significantly different than would be predicted by either conventional double-porosity or single-porosity models and are believed to be a distinctive feature of multirate diffusion. Fourth, we found that the estimated distributions of diffusion rate coefficients are very broad, with the distributions spanning a range of up to 3.6 orders of magnitude. Fifth, when both heterogeneity and solute drift are present, late time behavior similar to multirate mass transfer can occur. Although it is clear that multirate diffusion occurs in the Culebra, the number of orders of magnitude of variability may be overestimated because of the combined effects of drift and heterogeneity.Keywords: Hydrology, Groundwater transportKeywords: Hydrology, Groundwater transpor
Early evaluation of the Children and Young People's Mental Health Trailblazer programme:a rapid mixed-methods study
BACKGROUND: The Children and Young People’s Mental Health Trailblazer programme is funding the creation of new mental health support teams to work in schools and further education colleges. Mental health support teams directly support children and young people with ‘mild to moderate’ mental health problems and work with school and college staff to promote well-being for all. A new workforce of education mental health practitioners is being trained for the teams. OBJECTIVE(S): The National Institute for Health and Care Research Birmingham, RAND and Cambridge Evaluation Rapid Evaluation Centre and Policy Innovation and Evaluation Research Unit undertook an early evaluation of the Trailblazer programme to examine the development, implementation and early progress of mental health support teams in the programme’s first 25 ‘Trailblazer’ sites. DESIGN: A mixed-methods evaluation, comprising three work packages: 1. Establishing the baseline and understanding the development and early impacts of the Trailblazer sites, including two rounds of surveys with key informants and participating education settings in all 25 sites. 2. More detailed research in five purposively selected Trailblazer sites, including interviews with a range of stakeholders and focus groups with children and young people. 3. Scoping and developing options for a longer-term assessment of the programme’s outcomes and impacts. Fieldwork was undertaken between November 2020 and February 2022. The University of Birmingham Institute for Mental Health Youth Advisory Group was involved throughout the study, including co-producing the focus groups with children and young people. RESULTS: Substantial progress had been made implementing the programme, in challenging circumstances, and there was optimism about what it had the potential to achieve. The education mental health practitioner role had proven popular, but sites reported challenges in retaining education mental health practitioners, and turnover left mental health support teams short-staffed and needing to re-recruit. Education settings welcomed additional mental health support and reported positive early outcomes, including staff feeling more confident and having faster access to advice about mental health issues. At the same time, there were concerns about children who had mental health problems that were more serious than ‘mild to moderate’ but not serious enough to be accepted for specialist help, and that the interventions offered were not working well for some young people. Mental health support teams were generally spending more time supporting children with mental health problems than working with education settings to develop ‘whole school’ approaches to mental health and well-being, and service models in some sites appeared to be more clinically oriented, with a strong focus on mental health support teams’ therapeutic functions. LIMITATIONS: Despite efforts to maximise participation, survey response rates were relatively low and some groups were less well represented than others. We were not able to gather sufficiently detailed data to develop a typology of Trailblazer sites, as was planned. CONCLUSIONS: Key lessons for future programme implementation include: - Whether mental health support teams should expand support to children and young people with more complex and serious mental health problems. - How to keep the twin aims of prevention and early intervention in balance. - How to retain education mental health practitioners once trained. FUTURE WORK: The findings have important implications for the design of a longer-term impact evaluation of the programme, which is due to commence in summer 2023
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