Subjective well‐being and valuation of future health states : discrepancies between anticipated and experienced life satisfaction

One way of informing health policy decisions is to ask people about the impact that different health states would have on their future subjective well‐being. The present research explored the relation between anticipated and experienced changes in health‐related subjective well‐being, and examined whether affective forecasting errors could be reduced by psychological distancing manipulations. Using survey methodology, we tested whether people can accurately estimate the impact of different possible health states on their subjective well‐being. We also manipulated psychological distance: Forecasts were made about present self, future self, or others. Based on construal level theory and past work on affective forecasting errors, our prediction was that increasing psychological distance may reduce the mismatch between anticipated and experienced impact of health states on subjective well‐being. We found that the impact of ill health on subjective well‐being was greatly overpredicted and that this overprediction was not eliminated when participants were asked to make predictions about themselves in the future or about other people. Consistent with past work, we found that our participants correctly expected that their subjective well‐being would deteriorate more if they experienced the highest levels of mental illness as compared to the highest intensities of pain or most severe limitations to physical functioning

Extraction of shear viscosity in stationary states of relativistic particle systems

Starting from a classical picture of shear viscosity we construct a stationary velocity gradient in a microscopic parton cascade. Employing the Navier-Stokes ansatz we extract the shear viscosity coefficient $\eta$. For elastic isotropic scatterings we find an excellent agreement with the analytic values. This confirms the applicability of this method. Furthermore for both elastic and inelastic scatterings with pQCD based cross sections we extract the shear viscosity coefficient $\eta$ for a pure gluonic system and find a good agreement with already published calculations.Comment: 17 pages, 7 figure

Prediction of image noise contributions in proton computed tomography and comparison to measurements

We present a method to accurately predict image noise in proton computed tomography (pCT) using data generated from a Monte Carlo simulation and a patient or object model that may be generated from a prior x-ray CT image. This enables noise prediction for arbitrary beam fluence settings and, therefore, the application of fluence-modulated pCT (FMpCT), which can achieve prescribed noise targets and may significantly reduce the integral patient dose. We extended an existing Monte Carlo simulation of a prototype pCT scanner to include effects of quenching in the energy detector scintillators and constructed a beam model from experimental tracking data. Simulated noise predictions were compared to experimental data both in the projection domain and in the reconstructed image. Noise prediction agreement between simulated and experimental data in terms of the root-mean-square (RMS) error was better than 7% for a homogeneous water phantom and a sensitometry phantom with tubular inserts. For an anthropomorphic head phantom, modeling the anatomy of a five-year-old child, the RMS error was better than 9% in three evaluated slices. We were able to reproduce subtle noise features near heterogeneities. To demonstrate the feasibility of Monte Carlo simulated noise maps for fluence modulation, we calculated a fluence profile that yields a homogeneous noise level in the image. Unlike for bow-tie filters in x-ray CT this does not require constant fluence at the detector and the shape of the fluence profile is fundamentally different. Using an improved Monte Carlo simulation, we demonstrated the feasibility of using simulated data for accurate image noise prediction for pCT. We believe that the agreement with experimental data is sufficient to enable the future optimization of FMpCT fluence plans to achieve prescribed noise targets in a fluence-modulated acquisition

Eficiência de fungicidas para controle de giberela em trigo: resultados dos ensaios cooperativos - safra 2012.

Considerando o conjunto dos ensaios e as três variáveis analisadas, há evidências de que o tratamento com fungicidas reduziu os níveis de giberela e minimizou os danos ao rendimento de grãos. Os dados obtidos até o momento, incluindo o ano de 2011, mostram que o controle de giberela por fungicidas apresenta pouca eficiência. Esse é um indicativo que novas estratégias devem ser adotadas para que se possa melhorar o desempenho dos fungicidas no controle de giberela.bitstream/item/103787/1/2014-comunicado-tecnico-online336.pd