Role emerging placements in undergraduate occupational therapy training: a case study

YesPurpose: Role emerging placements in occupational therapy training are contributing to professional and workforce development because of their strong occupational focus and placement of students in emerging practice. This manuscript explores how one role emerging placement challenged and developed student theoretical and clinical skills, presented new ways of working at the recipient site and enhanced service delivery. Methods: The background to role emerging placements in occupational therapy is explored through the use of a case study which reflects on and analyses how the assessment and treatment of occupation enhanced service delivery at a local, no-traditional site is presented. Eight students in England developed and ran a psycho-education group to support the occupational needs of female service users who have experienced domestic abuse. Results: There was an overall increase in self-esteem scores and an expressed increase in knowledge and understanding by participants. Students reported developing a deeper understanding of occupation and the hosts identified the student’s clinical skills as unique contributors to service delivery. Conclusion: By focusing on occupation, role emerging placements draw on the roots of the profession and anchor its future to the theoretical foundations of its past. However, in order to employ occupational therapists, these organisations need to understand what the occupational therapy profession can offer them

Analysis of potential for supplemental irrigation in southern Illinois

The aim of this study is to determine the potential for supplemental crop irrigation of the tight subsoil area of Southern Illinois with surface water impounded in small catchment reservoirs. The geographic area of the tight soils (mainly the southern 1/3 of Illinois includes almost 25 percent of the state. Random statistical sampling was used to select topographic quadrangles in this area for investigation of reservoir sites. Costs and water volume were then computed for sites with potential for reservoir siting. The results of the survey of potential reservoirs and cost analysis indicate about 1.2 million acres of land in the claypan area of Southern Illinois can be irrigated under current cost conditions depending on the price of corn and soybeans. From inspection of the best potential reservoir sites, watersheds, and irrigation areas, a specific site was selected for detailed analysis. Site analysis showed the most profitable management practice to be a corn-soybean rotation with reduced tillage, up-and-down slopes plowing, and irrigation. Further analysis was performed concerning the effect of sedimentation on reservoir capacity and, optimal land use. The results indicate that, over a thirty-year period, sedimentation will not have any appreciable effect on reservoir capacity and on land use practice. Finally, the supplemental irrigation system was analysed to determine its overall economic feasibility. A supply curve for irrigation from reservoirs was developed.U.S. Department of the InteriorU.S. Geological SurveyOpe

A long hard look at MCG-6-30-15 with XMM-Newton and BeppoSAX

We summarise the primary results from a 320 ks observation of the bright Seyfert 1 galaxy MCG-6-30-15 with XMM-Newton and Beppo-SAX.Comment: 4 pages, 6 figures. Proc. of the meeting: "The Restless High-Energy Universe" (Amsterdam, The Netherlands), E.P.J. van den Heuvel, J.J.M. in 't Zand, and R.A.M.J. Wijers Ed

Magnetic, magnetocaloric and magnetotransport properties of RSn_{1+x}Ge_{1-x} compounds (R=Gd, Tb, Er; x=0.1)

We have studied the magnetic, magnetocaloric and magnetotransport properties of RSn1+xGe1-x(R=Gd, Tb, Er; x=0.1) series by means of magnetization, heat capacity and resistivity measurements. It has been found that all the compounds crystallize in the orthorhombic crystal structure described by the centrosymmetric space group Cmcm (No. 63). The magnetic susceptibility and heat capacity data suggest that all the compounds are antiferromagnetic. Large negative values of {\theta}p in case of GdSn1.1Ge0.9 and TbSn1.1Ge0.9 indicate that strong antiferromagnetic interactions are involved, which is also reflected in the magnetization isotherms. On the other hand ErSn1.1Ge0.9 shows weak antiferromagnetic interaction. The heat capacity data have been analyzed by fitting the temperature dependence and the values of {\theta}D and {\gamma} have been estimated. Among these three compounds, ErSn1.1Ge0.9 shows considerable magnetic entropy change of 9.5 J/kg K and an adiabatic temperature change of 3.2 K for a field of 50 kOe. The resistivity data in different temperature regimes have been analyzed and the dominant contributions have been identified. All the compounds show small but positive magnetoresistance.Comment: 23 pages,11 figure

Return-Volatility Relationship: Insights from Linear and Non-Linear Quantile Regression

The purpose of this paper is to examine the asymmetric relationship between price and implied volatility and the associated extreme quantile dependence using linear and non linear quantile regression approach. Our goal in this paper is to demonstrate that the relationship between the volatility and market return as quantified by Ordinary Least Square (OLS) regression is not uniform across the distribution of the volatility-price return pairs using quantile regressions. We examine the bivariate relationship of six volatility-return pairs, viz. CBOE-VIX and S&P-500, FTSE-100 Volatility and FTSE-100, NASDAQ-100 Volatility (VXN) and NASDAQ, DAX Volatility (VDAX) and DAX-30, CAC Volatility (VCAC) and CAC-40 and STOXX Volatility (VSTOXX) and STOXX. The assumption of a normal distribution in the return series is not appropriate when the distribution is skewed and hence OLS does not capture the complete picture of the relationship. Quantile regression on the other hand can be set up with various loss functions, both parametric and non-parametric (linear case) and can be evaluated with skewed marginal based copulas (for the non linear case). Which is helpful in evaluating the non-normal and non-linear nature of the relationship between price and volatility. In the empirical analysis we compare the results from linear quantile regression (LQR) and copula based non linear quantile regression known as copula quantile regression (CQR). The discussion of the properties of the volatility series and empirical findings in this paper have significance for portfolio optimization, hedging strategies, trading strategies and risk management in general