Solishatfield4317

2 ± 14.7%, 26.9 ± 12.6%, and 15.3 ± 7.1%, respectively), and the average self-care score was 12.2 ± 3.5 (10-27) for all patients. Higher self-care score was significantly related to younger patients' age and higher daily radiation exposure in nurses. CONCLUSION Individual exposure to radiation was well controlled. Nurses who care for pediatric patients needing daily assistance must be aware of the radiation exposure risks, which can be reduced by establishing a care system and monitoring radiation exposure.German medical students are not sufficiently introduced to the ethical principles and pitfalls of scientific work. Therefore, a compulsory course on good scientific practice (GSP) has been developed and implemented into the curriculum of medical students, with the goal to foster scientific integrity and prevent scientific misconduct. Students' knowledge and attitudes towards GSP were evaluated by a pre-post-teaching questionnaire survey (n = 239). Most participants initially had startling knowledge gaps in the field. Moreover, they were not acquainted with core institutions on GSP, the office of ombudsperson and the nationally binding guidelines on GSP. The pre-post-teaching comparison showed statistically significant improvement in all areas tested; moreover, after the course participants confided more trust in GSP institutions. Applying ethical rules into practice can be challenging; therefore, students need to learn to work independently with guidelines on GSP and should be introduced to institutions providing further guidance. As our study has shown, students are very willing to pursue a scientific career based on integrity and honesty, however, they lack the knowledge how to do so. In light of our results, we therefore recommend to integrate courses on GSP already at an early time into the mandatory curriculum of medical students.PURPOSE To develop a mapping algorithm for generating EQ-5D-5-level (EQ-5D-5L) utility scores from the Dermatology Life Quality Index (DLQI) in patients with atopic dermatitis (AD). METHODS The algorithm was developed using data from 1232 patients from four countries participating in the National Health and Wellness Study. find more Spearman's rank correlation coefficient was used to evaluate the conceptual overlap between DLQI and EQ-5D-5L. Six mapping models (ordinary least squares [OLS], Tobit, three different two-part models, and a regression mixture model) were tested with different specifications to determine model performance and were ranked based on the sum of mean absolute error (MAE), and root mean squared error (RMSE). RESULTS The mean DLQI score was 7.23; mean EQ-5D-5L score was 0.78; and there were moderate negative correlations between DLQI and EQ-5D-5L scores (p = - 0.514). A regression mixture model with total DLQI, and age and sex as independent variables performed best for mapping DLQI to EQ-5D-5L (RMSE = 0.113; MAE = 0.079). CONCLUSION This was the first study to map DLQI to EQ-5D-5L exclusively in patients with AD. The regression mixture model with total DLQI, and age and sex as independent variables was the best performing model and accurately predicted EQ-5D-5L. The results of this mapping can be used to translate DLQI data from clinical studies to health state utility values in economic evaluations.BACKGROUND In the United States and Canada, ca. one-half of native orchid species are now threatened with extinction. A number of these species are restricted to tallgrass prairies of central North America, such as the Eastern Prairie Fringed Orchid, Platanthera leucophaea (Nutt.) Lindl.-a U.S. Federally threatened species. RESULTS We provide new records of fungi recovered from roots of P. leucophaea and five other orchid species inhabiting prairie sites in Illinois and neighboring states during a 10-year period (2008-2017). A total of 39 fungal endophytes were isolated from Cypripedium candidum (1), Platanthera lacera (1), P. leucophaea (32), P. peramoena (3), Spiranthes lacera (1), and S. magnicamporum (1), 31 (79%) of which were assignable to Ceratobasidium and the remainder to Tulasnella. These fungi were acquired from 16 different sites, 13 of which are new records including two new state records (Iowa, Wisconsin). Molecular analysis revealed that some Ceratobasidium strains were virtually identical despite being geographically isolated by > 300 km. CONCLUSIONS This study, encompassing a decade of work, confirms that Platanthera leucophaea is a mycorrhizal specialist with heavy reliance on Ceratobasidium with the tallgrass prairie ecosystem of North America. Our isolation of Ceratobasidium from P. leucophaea spanning additional sites suggests that the association is widespread. Such information should provide conservationists and land managers with more confidence in developing protocols that facilitate the long-term conservation of this prairie orchid.Designing computer-assisted diagnosis (CAD) systems that can precisely identify lesions from mammography images would be useful for clinicians. Considering the morphological variation in breast cancer, it is necessary to extract robust features from the mammogram. Here, we propose a mass detection CAD system that is based on Faster R-CNN. First, we applied a novel convolution network in the backbone of Faster R-CNN, namely deformable convolution network (DCN), which improves the detection of lesions with varying shapes and sizes. Second, the original Faster R-CNN uses the output of the last layer of the backbone as a single-scale feature map. To facilitate the detection of small lesions, we used a multiscale feature pyramid network of multiple cross-scale connections between the different output layers of the backbone, called the neural architecture search-feature pyramid network (NAS-FPN). Thus, we were able to integrate the best features into the model. We then evaluated our method by using the datasets the Curated Breast Imaging Subset of Digital Database for Screening Mammography (CBIS-DDSM) and INbreast, respectively. Our method yielded a true positive rate of 0.9345 at 2.2805 false positive per image on CBIS-DDSM and a true positive rate of 0.9554 at 0.3829 false positive per image on INbreast. Graphical abstract.