5,847 research outputs found

    The role of the ā€œInter-Lifeā€ virtual world as a creative technology to support student transition into higher education

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    The shape of Higher Education (HE) in the UK and internationally is changing, with wider access policies leading to greater diversity and heterogeneity in contemporary student populations world-wide. Students in the 21st Century are often described as ā€œfragmentedā€; meaning they are frequently working whilst participating in a full time Degree programme. Consequently, those in the HE setting are required to become ā€œfuture readyā€ which increasingly involves the seamless integration of new digital technologies into undergraduate programmes of teaching and learning. The present study evaluated the effectiveness of the ā€œInter-Lifeā€ three-dimensional virtual world as a suitable Technology Enhanced Learning (TEL) tool to support the initial stages of transition from school into university. Our results demonstrate that Inter-Life is ā€œfit for purposeā€ in terms of the robustness of both the educational and technical design features. We have shown that Inter-Life provides a safe space that supports induction mediated by active learning tasks using learner-generated, multi-modal transition tools. In addition, through the provision of private spaces, Inter-Life also supports and fosters the development of critical reflective thinking skills. However, in keeping with the current literature in the field, some of the students expressed a wish for more training in the functional and social skills required to navigate and experience the Inter-Life virtual world more effectively. Such findings resonate with the current debate in the field which challenges the notion of ā€œdigital nativesā€, but the present study has also provided some new evidence to support the role of virtual worlds for the development of a suitable community to support students undergoing transition to university

    Accelerator measurement of the energy spectra of neutrons emitted in the interaction of 3-GeV protons with several elements

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    The application of time of flight techniques for determining the shapes of the energy spectra of neutrons between 20 and 400 MeV is discussed. The neutrons are emitted at 20, 34, and 90 degrees in the bombardment of targets by 3 GeV protons. The targets used are carbon, aluminum, cobalt, and platinum with cylindrical cross section. Targets being bombarded are located in the internal circulating beam of a particle accelerator

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    Blood lactate clearance after maximal exercise depends on active recovery intensity

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    AIM: High-intensity exercise is time-limited by onset of fatigue, marked by accumulation of blood lactate. This is accentuated at maximal, all-out exercise that rapidly accumulates high blood lactate. The optimal active recovery intensity for clearing lactate after such maximal, all-out exercise remains unknown. Thus, we studied the intensity-dependence of lactate clearance during active recovery after maximal exercise.<p></p> METHODS: We constructed a standardized maximal, all-out treadmill exercise protocol that predictably lead to voluntary exhaustion and blood lactate concentration >10 mM. Next, subjects ran series of all-out bouts that increased blood lactate concentration to 11.5Ā±0.2 mM, followed by recovery exercises ranging 0% (passive)-100% of the lactate threshold.<p></p> RESULTS: Repeated measurements showed faster lactate clearance during active versus passive recovery (P<0.01), and that active recovery at 60-100% of lactate threshold was more efficient for lactate clearance than lower intensity recovery (P<0.05). Active recovery at 80% of lactate threshold had the highest rate of and shortest time constant for lactate clearance (P<0.05), whereas the response during the other intensities was graded (100%=60%>40%>passive recovery, P<0.05).<p></p> CONCLUSION: Active recovery after maximal all-out exercise clears accumulated blood lactate faster than passive recovery in an intensity-dependent manner, with maximum clearance occurring at active recovery of 80% of lactate threshold

    Coincident multi-point observations of the E- and F- region decametre-scale plasma waves at high latitudes

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    Presented is an extensive analysis of the E-region backscatter observed at magnetic latitudes 75Ā°-80Ā°N by the PolarDARN component of the Super Dual Auroral Radar Network (SuperDARN). The statistical occurrence characteristics of the short-range echoes reveal significant differences from those of the auroral and sub-auroral SuperDARN radars

    sFlt-1 and NTproBNP independently predict mortality in a cohort of heart failure patients.

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    Objective: Soluble fms-like tyrosine kinase-1 (sFlt-1) is a circulating receptor for VEGF-A. Recent reports of elevated plasma levels of sFlt-1 in coronary heart disease and heart failure (HF) motivated our study aimed at investigating the utility of sFlt-1 as a prognostic biomarker in heart failure patients. Methods: ELISA assays for sFlt-1 and NTproBNP were performed in n=858 patients from a prospective multicentre, observational study (the PEOPLE study) of outcome among patients after appropriate treatment for an episode of acute decompensated HF in New Zealand. Plasma was sampled at a baseline visit and stored at -80Ā°C. Statistical tests were adjusted for patient age at baseline visit, skewed data were log-adjusted and the endpoint for clinical outcome analysis was all-cause death. Patients were followed for a median of 3.63 (range 0.74-5.50) years. Results: Mean baseline plasma sFlt-1 was 125 +/- 2.01 pg/ml. sFlt-1 was higher in patients with HF with reduced ejection fraction (HFrEF) (130 +/- 2.62 pg/ml, n=553) compared to those with HF with preserved EF (HFpEF) (117 +/-3.59 pg/ml, n=305; p=0.005). sFlt-1 correlated with heart rate (r=0.148, p<0.001), systolic blood pressure (r=-0.139, p<0.001) and LVEF (r=-0.088, p=0.019). A Cox proportional hazards model showed sFlt-1 was a predictor of all-cause death (HR=6.30, p<0.001) in the PEOPLE cohort independent of age, NTproBNP, ischaemic aetiology, and NYHA class (n=842, 274 deaths), established predictors of mortality in the PEOPLE cohort. Conclusion: sFlt-1 levels at baseline should be investigated further as a predictor of death; complementary to established prognostic biomarkers in heart failure
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