4,361 research outputs found

    The influence of alcohol content variation in UK packaged beers on the uncertainty of calculations using the Widmark equation

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    It is common for forensic practitioners to calculate an individual's likely blood alcohol concentration following the consumption of alcoholic beverage(s) for legal purposes, such as in driving under the influence (DUI) cases. It is important in these cases to be able to give the uncertainty of measurement on any calculated result, for this reason uncertainty data for the variables used for any calculation are required. In order to determine the uncertainty associated with the alcohol concentration of beer in the UK the alcohol concentration (%v/v) of 218 packaged beers (112 with an alcohol concentration of ≤5.5%v/v and 106 with an alcohol concentration of >5.5%v/v) were tested using an industry standard near infra-red (NIR) analyser. The range of labelled beer alcohol by volume (ABV's) tested was 3.4%v/v – 14%v/v. The beers were obtained from a range of outlets throughout the UK over a period of 12 months. The root mean square error (RMSE) was found to be ±0.43%v/v (beers with declared %ABV of ≤5.5%v/v) and ±0.53%v/v (beers with declared %ABV of >5.5%v/v) the RMSE for all beers was ±0.48%v/v. The standard deviation from the declared %ABV is larger than those previously utilised for uncertainty calculations and illustrates the importance of appropriate experimental data for use in the determination of uncertainty in forensic calculations

    Qualitative Methods of Road Traffic Crash Research in Low- and Middle-income Countries: A Review

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    Road traffic crashes are rapidly becoming one of the leading causes of injury and death globally. It is predicted that by 2030 crashes will become the fourth leading cause of disability-adjusted life years (DALYs) (Mathers & Loncar, [11]) and the seventh leading global cause of death (World Health Organization [WHO], [26]). The global death toll due to crashes has already escalated by 46% over the past two decades (The World Bank, [21]). Low- and middle-income countries (LMICs) are acutely affected by this \u27hidden epidemic\u27 (Balch, [ 1]). Ninety per cent of the world\u27s crash-related deaths occur in LMICs where only 54% of its motor vehicles are registered (WHO, [25]). Furthermore, the economic toll of crashes in LMICs is concerning because nearly one half of all health care expenditures in LMICs is used to treat injuries related to motor vehicle crashes (Zakeri & Nosratnejad, [28]). This epidemic deserves urgent attention (Lin, [10]). Research on the epidemiology of crash problems in LMICs is increasing but these research efforts predominantly report statistics. There is a paucity of qualitative research that could help to explain the statistics. Qualitative exploration has the potential to enhance crash research by describing and explicating the contexts and social processes surrounding crashes, such as the antecedents, the environments in which crashes occur and injuries are produced, and the behaviours of people which make crashes more likely (Roberts, [14]; Rothe, [16]). Qualitative research methods can spark and mobilize the ideas and efforts of affected community members, thereby optimizing crash prevention interventions. Additionally, incorporating local citizens\u27 perspectives on the nature, causes and potential solutions of traffic problems in their locale increases the likelihood that proposed solutions will be effective, wanted and beneficial (Roberts, Smith, & Bryce, [15]). This article will review the literature to assess the extent to which qualitative methods have been implemented to research road traffic crashes in LMICs and to inform future methodological decision-making

    Factors in Patient Responsiveness to Directional Preference-Matched Treatment of Neck Pain With or Without Upper Extremity Radiation

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    Purpose: Patient-related predictive factors in responsiveness to directional preference therapy for neck pain with or without upper extremity radiation (NP/R) have not been reported. A directional preference is any neck movement that, when performed repeatedly to end range, results in centralization and/or alleviation of NP/R. It was hypothesized that patient compliance with a prescribed, directional preference-matched home exercise program would improve positive responsiveness to NP/R treatment. Methods: Patient-related factors thought to affect responsiveness to care were collected retrospectively from charts and de-identified for patients with NP/R who underwent chiropractic treatment at a multispecialty spine clinic from January 2014 through June 2015. Responsiveness was measured by calculating the percentage change in Neck Bournemouth Questionnaire (NBQ) scores over treatment time. Multiple linear regression was used to identify factors associated with positive responsiveness. Results: Mean percentage change in patient NBQ score from initial intake to discharge was 50% (standard deviation: 32%). Of 104 patients meeting study inclusion criteria, 86 (83%) reported experiencing improvement after the first treatment session. Bivariate analysis of patient characteristics by compliance with directional preference-matched exercise indicated that compliant patients (n = 95, 91%) demonstrated significantly greater responsiveness to care than did noncompliant patients, at 55% versus 25% change in NBQ score, respectively (P = 0.0041). Four factors were statistically significant predictors of patient responsiveness to directional preference therapy for NP/R: patient compliance with directional preference-matched exercise (P = 0.0023), patient age (P = 0.0029), condition chronicity (P < 0.0001), and whether the patient reported improvement of symptoms following initial treatment session (P = 0.0003). Conclusions: The results of this study suggest that patient compliance with directional preference exercise is associated with patient responsiveness to conservative treatment of NP/R, as are age, chronicity and report of immediate symptom improvement

    Understanding Etiologies of Road Traffiffic Crashes, Injuries, and Death for Patients at National Hospital Abuja: A Qualitative Content Analysis Using Haddon\u27s Matrix

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    Road traffic crashes and sequelae are reaching pandemic proportions globally and have currently achieved disproportionately high levels in Nigeria. Quantitative studies are accumulating in the peer-reviewed literature, but there is a paucity of qualitative research in Nigeria. Data for this study of structural and behavioral factors of road traffic crashes and injuries in Federal Capital Territory were collected in semi-structured interviews with crash survivors at National Hospital Abuja. Interviews were analyzed via qualitative content analysis, revealing crash location and participant beliefs about crash etiologies. Units of analysis were developed from participant statements and were structured within four a priori etiologic categories using Haddon\u27s (1980) matrix: human-, vehicle-, physical environment-, and socioeconomic environment-related. Subcategories were generated. Human-related subcategories included reckless behavior and drivers, limited technical knowledge and skill. Vehicle-related subcategories included vehicular disrepair and lack of safety equipment. Physical environment-related subcategories included road disrepair, infrastructural inadequacy, and weather. Socioeconomic environment-related subcategories included government, prehospital care, money, and prayer. Subcategories were organized temporally by pre-event, event, and post-event phases, with most units of analysis allocated in the preevent phase. These qualitative results can be utilized to guide future research along community-aligned priorities, and to structure community-engaged preventative and interventional efforts

    Understanding Etiologies of Road Traffic Crashes, Injuries, and Death for Patients at National Hospital Abuja: A Qualitative Content Analysis Using Haddon’s Matrix

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    Road traffic crashes and sequelae are reaching pandemic proportions globally and have currently achieved disproportionately high levels in Nigeria. Quantitative studies are accumulating in the peer-reviewed literature, but there is a paucity of qualitative research in Nigeria. Data for this study of structural and behavioral factors of road traffic crashes and injuries in Federal Capital Territory were collected in semi-structured interviews with crash survivors at National Hospital Abuja. Interviews were analyzed via qualitative content analysis, revealing crash location and participant beliefs about crash etiologies. Units of analysis were developed from participant statements and were structured within four a priori etiologic categories using Haddon’s (1980) matrix: human-, vehicle-, physical environment-, and socioeconomic environment-related. Subcategories were generated. Human-related subcategories included reckless behavior and drivers, limited technical knowledge and skill. Vehicle-related subcategories included vehicular disrepair and lack of safety equipment. Physical environment-related subcategories included road disrepair, infrastructural inadequacy, and weather. Socioeconomic environment-related subcategories included government, prehospital care, money, and prayer. Subcategories were organized temporally by pre-event, event, and post-event phases, with most units of analysis allocated in the pre-event phase. These qualitative results can be utilized to guide future research along community-aligned priorities, and to structure community-engaged preventative and interventional efforts

    Anisotropic Coarsening: Grain Shapes and Nonuniversal Persistence

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    We solve a coarsening system with small but arbitrary anisotropic surface tension and interface mobility. The resulting size-dependent growth shapes are significantly different from equilibrium microcrystallites, and have a distribution of grain sizes different from isotropic theories. As an application of our results, we show that the persistence decay exponent depends on anisotropy and hence is nonuniversal.Comment: 4 pages (revtex), 2 eps figure

    The impact of school reopening on the spread of COVID-19 in England

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    By mid-May, cases of COVID-19 in the UK had been declining for over a month; a multi-phase emergence from lockdown was planned, including a scheduled partial reopening of schools on 1st June. Although evidence suggests that children generally display mild symptoms, the size of the school-age population means the total impact of reopening schools is unclear. Here, we present work from mid-May that focused on the imminent opening of schools and consider what these results imply for future policy. We compared eight strategies for reopening primary and secondary schools in England. Modifying a transmission model fitted to UK SARS-CoV-2 data, we assessed how reopening schools affects contact patterns, anticipated secondary infections and the relative change in the reproductive number, R. We determined the associated public health impact and its sensitivity to changes in social-distancing within the wider community. We predicted reopening schools with half-sized classes or focused on younger children was unlikely to push R above one. Older children generally have more social contacts, so reopening secondary schools results in more cases than reopening primary schools, while reopening both could have pushed R above one in some regions. Reductions in community social-distancing were found to outweigh and exacerbate any impacts of reopening. In particular, opening schools when the reproductive number R is already above one generates the largest increase in cases. Our work indicates that while any school reopening will result in increased mixing and infection amongst children and the wider population, reopening schools alone in June was unlikely to push R above one. Ultimately, reopening decisions are a difficult trade-off between epidemiological consequences and the emotional, educational and developmental needs of children. Into the future, there are difficult questions about what controls can be instigated such that schools can remain open if cases increase

    Aeolianite and barrier dune construction spanning the last two glacial-interglacial cycles from the southern Cape coast, South Africa

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    The southern Cape region of South Africa has extensive coastal aeolianites and barrier dunes. Whilst previously reported, limited knowledge of their age has precluded an understanding of their relationship with the climatic and sea-level fluctuations that have taken place during the Late Quaternary. Sedimentological and geomorphological studies combined with an optical dating programme reveal aeolianite development and barrier dune construction spanning at least the last two glacial–interglacial cycles. Aeolianite deposition has occurred on the southern Cape coast at ca 67–80, 88–90, 104–128, 160–189 and >200 ka before the present. Using this and other published data coupled with a better understanding of Late Quaternary sea-level fluctuations and palaeocoastline configurations, it is concluded that these depositional phases appear to be controlled by interglacial and subsequent interstadial sea-level high stands. These marine transgressions and regressions allowed onshore carbonate-rich sediment movement and subsequent aeolian reworking to occur at similar points in the landscape on a number of occasions. The lack of carbonates in more recent dunes (Oxygen Isotope Stages 1/2 and 4/5) is attributed not to leaching but to changes to carbonate production in the sediment source area caused by increased terrigenous material and/or changes in the balance between the warm Agulhas and nutrient-rich Benguela ocean current
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