Public perception of the collection and use of critical care patient data beyond treatment: a pilot study

No abstract available

Short- and Longer-Term Benefits of Temporary Alcohol Abstinence During ‘Dry January’ Are Not Also Observed Among Adult Drinkers in the General Population: Prospective Cohort Study

Aims The alcohol abstinence challenge ‘Dry January’ continues to grow, but there is a lack of knowledge of how Dry January participants compare to the general population. There is also a need to determine whether benefits experienced by Dry January participants are unique to that group or are also observed among other people. Methods We conducted a prospective cohort study using online questionnaires in early January, February and August 2019. We compared 1192 Dry January participants and 1549 adult drinkers who did not attempt to abstain from alcohol. Key outcomes were self-rated physical health, psychological well-being (Warwick–Edinburgh Mental Well-Being Scale), control over drinking (Drink Refusal Self-Efficacy Scale (DRSE)) and alcohol intake (Alcohol Use Disorders Identification Test–Consumption (AUDIT-C) subscale). Baseline differences in demographic and alcohol consumption variables were included as covariates in between-group analyses. Results Dry January participants had higher SES, poorer well-being, higher AUDIT-C scores and less control over their drinking than the general population. Beneficial changes in health, WEMWBS, DRSE and AUDIT-C observed among people completing Dry January were not observed among other adult drinkers. Conclusions Dry January appears to attract people who are heavier drinkers than the general population and who are more concerned about their alcohol intake. Completion of Dry January is associated with short- and longer-term benefits to well-being that are not observed in the general population

Characterization of acoustic diffusion using refracto-vibrometry

Refracto-vibrometry is a relatively new measurement technique that is sensitive to variations in the optical refractive index of a medium caused by changes in acoustic pressure within that medium (the acousto-optic effect). It has so far been employed primarily as a qualitative visualization tool for airborne sound propagation because determining sound pressure level at a point using the technique is difficult and inefficient. Instead, the authors propose that this optical technique is well suited for determining dimensionless quantities, such as coefficients describing scattering uniformity from a surface. A new measurement and analysis process relying on refracto-vibrometry has been developed and used to determine acoustic diffusion coefficients through purely optical means for the first time. A quadratic residue diffuser is used as an arbitrary test surface, and refracto-vibrometry measurements of its polar response have been performed and results compared to a boundary element model. The benefits and limitations of the optical method over the traditional microphone-based approach are discussed

Improvements to the optimal cerebral perfusion pressure calculation

No abstract available

Data Analytics for Uncovering Fraudulent Behaviour in Elite Sports

Sports officials around the world are facing societal challenges due to the unfair nature of fraudulent practices performed by unscrupulous athletes. Recently, sample swapping has been raised as a potential practice where some athletes exchange their doped sample with a clean one to evade a positive test. The current detection method for such cases includes laboratory testing like DNA analysis. However, these methods are costly and time-consuming, which goes beyond the budgetary limits of anti-doping organisations. Therefore, there is a need to explore alternative methods to improve decision-making. We presented a data analytical methodology that supports anti-doping decision-makers on the task of athlete disambiguation. Our proposed model helps identify the swapped sample, which outperforms the current state-of-the-art method and different baseline models. The evaluation on real-world sample swapping cases shows promising results that help advance the research on the application of data analytics in the context of anti-doping analysis

An integrated approach to modelling the fluid-structure interaction of a collapsible tube

The well known collapsible tube experiment was conducted to obtain flow, pressure and materials property data for steady state conditions. These were then used as the boundary conditions for a fully coupled fluid-structure interaction (FSI) model using a propriety computer code, LS-DYNA. The shape profiles for the tube were also recorded. In order to obtain similar collapse modes to the experiment, it was necessary to model the tube flat, and then inflate it into a circular profile, leaving residual stresses in the walls. The profile shape then agreed well with the experimental ones. Two departures from the physical properties were required to reduce computer time to an acceptable level. One of these was the lowering of the speed of sound by two orders of magnitude which, due to the low velocities involved, still left the mach number below 0.2. The other was to increase the thickness of the tube to prevent the numerical collapse of elements. A compensation for this was made by lowering the Young's modulus for the tube material. Overall the results are qualitatively good. They give an indication of the power of the current FSI algorithms and the need to combine experiment and computer models in order to maximise the information that can be extracted both in terms of quantity and quality