Positron Emission Tomography (PET) is a widely-used imaging modality for medical research and clinical diagnosis. Imaging of the radiotracer is obtained from the detected hit positions of the two ...positron annihilation photons in a detector array. The image is degraded by backgrounds from random coincidences and in-patient scatter events which require correction. In addition to the geometric information, the two annihilation photons are predicted to be produced in a quantum-entangled state, resulting in enhanced correlations between their subsequent interaction processes. To explore this, the predicted entanglement in linear polarisation for the two photons was incorporated into a simulation and tested by comparison with experimental data from a cadmium zinc telluride (CZT) PET demonstrator apparatus. Adapted apparati also enabled correlation measurements where one of the photons had undergone a prior scatter process. We show that the entangled simulation describes the measured correlations and, through simulation of a larger preclinical PET scanner, illustrate a simple method to quantify and remove the unwanted backgrounds in PET using the quantum entanglement information alone.
Summary
We conducted a randomized controlled trial to compare the efficacy of adding a video tool to a printed booklet on osteoporosis. Both strategies were effective in increasing knowledge and ...decreasing decisional conflict. There was no difference in the measured outcomes between the intervention and control groups. Patient preferences and learning styles are key factors in deciding a presentation format when educating patients with osteoporosis.
Introduction
Innovative approaches to patient education about self-management in osteoporosis may improve outcomes.
Methods
We conducted a randomized controlled trial to compare the efficacy of adding a multimedia patient education tool involving video modeling to a printed educational booklet on osteoporosis. Participants were post-menopausal women with osteoporosis. We assessed osteoporosis knowledge, decisional conflict, self-efficacy, and effectiveness in disease management at baseline, immediately post-intervention, and at 3 and 6 months. Linear regression models were used to explore changes in outcomes at 6 months with respect to baseline characteristics.
Results
Two hundred and twenty-five women were randomized, 111 to receive the multimedia tool in addition to the booklet and 114 to receive the booklet alone. Knowledge and decisional conflict scores significantly improved in both groups at all post-intervention assessment points, but with no significant differences in score changes between the groups. Self-efficacy and disease management effectiveness showed no significant changes from baseline. In the entire cohort, younger age was associated with better effectiveness in disease management and Hispanic women had greater gains in knowledge at 6 months compared to White women. Women with limited health literacy who had received the multimedia tool in addition to the printed materials had higher decisional conflict than those who received printed materials alone.
Conclusion
Both multimedia and printed tools increased knowledge and decreased decisional conflict to the same extent, neither of the educational materials proved to be better than the other. For women with limited health literacy, receiving the booklet alone was more effective in reducing decisional conflict after 6 months, than adding the multimedia tool.
Prediction of wheat phenology facilitates the selection of cultivars with specific adaptations to a particular environment. However, while QTL analysis for heading date can identify major genes ...controlling phenology, the results are limited to the environments and genotypes tested. Moreover, while ecophysiological models allow accurate predictions in new environments, they may require substantial phenotypic data to parameterize each genotype. Also, the model parameters are rarely related to all underlying genes, and all the possible allelic combinations that could be obtained by breeding cannot be tested with models. In this study, a QTL-based model is proposed to predict heading date in bread wheat (Triticum aestivum L.). Two parameters of an ecophysiological model (V sat and P base , representing genotype vernalization requirements and photoperiod sensitivity, respectively) were optimized for 210 genotypes grown in 10 contrasting location × sowing date combinations. Multiple linear regression models predicting V sat and P base with 11 and 12 associated genetic markers accounted for 71 and 68% of the variance of these parameters, respectively. QTL-based V sat and P base estimates were able to predict heading date of an independent validation data set (88 genotypes in six location × sowing date combinations) with a root mean square error of prediction of 5 to 8.6 days, explaining 48 to 63% of the variation for heading date. The QTL-based model proposed in this study may be used for agronomic purposes and to assist breeders in suggesting locally adapted ideotypes for wheat phenology.
Highlight textQTL-based parameters of an ecophysiological model, calibrated on an association genetics panel of 210 genotypes, allowed prediction of heading dates of 80 independent genotypes in six independent experiments with a median prediction error of 5.6 days.
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