Proceeding on the assumption that the utmost possible number of actively diseased rA patients should be treated with an LAARD the treatment of all 372 rA-patients of the Mobile Rheumahilfe Hannover was analysed. As a ...
Proceeding on the assumption that the utmost possible number of actively diseased rA patients should be treated with an LAARD the treatment of all 372 rA-patients of the Mobile Rheumahilfe Hannover was analysed. As a result 44% of the patients did not get any LAARD. In case of the newly admitted patients the main reason was that the indication had not been sufficiently explored. In case of the repeatedly treated patients the most important reasons were a favorable course of the disease, the prevailing of contraindications and the patients refusal to take the drugs. It must be asked, whether the part of patients treated with a LAARD can be a criterion for the quality of a rheumatological care.
Background: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers remain somewhat inconsistent, particularly among lessexperienced *...
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Background: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers remain somewhat inconsistent, particularly among lessexperienced ***: To assess the feasibility of deep learning (DL) for the automated assessment of image quality in biparametric MRI scans and compare its performance to that of less-experienced ***: We used bi-parametric prostate MRI scans from the PI-CAI dataset in this study. A 3-point Likert scale, consisting of poor, moderate, and excellent, was utilized for assessing image quality. Three expert readers established the ground-truth labels for the development (500) and testing sets (100). We trained a 3D DL model on the development set using probabilistic prostate masks and an ordinal loss function. Four less-experienced readers scored the testing set for performance ***: The kappa scores between the DL model and the expert consensus for T2W images and ADC maps were 0.42 and 0.61, representing moderate and good levels of agreement. The kappa scores between the lessexperienced readers and the expert consensus for T2W images and ADC maps ranged from 0.39 to 0.56 (fair to moderate) and from 0.39 to 0.62 (fair to good).Conclusions: Deep learning (DL) can offer performance comparable to that of less-experienced readers when assessing image quality in bi-parametric prostate MRI, making it a viable option for an automated quality assessment tool. We suggest that DL models trained on more representative datasets, annotated by a larger group of experts, could yield reliable image quality assessment and potentially substitute or assist visual evaluations by human readers.
Mixed proton and electron conductor ceramic composites are among the most promising materials for hydrogen separation membrane technology especially if designed in an asymmetrical configuration (thin membrane supporte...
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Mixed proton and electron conductor ceramic composites are among the most promising materials for hydrogen separation membrane technology especially if designed in an asymmetrical configuration (thin membrane supported onto a thicker porous substrate). However a precise processing optimization is needed to effectively obtain planar and crack free asymmetrical membranes with suitable microstructure and composition without affecting their hydrogen separation efficiency. This work highlights for the first time the most critical issues linked to the tape casting process used to obtain BaCe0.65Zr0.20Y0.15O3-delta - Ce0.8Gd0.2O2-delta (BCZY-GDC) asymmetrical membranes for H-2 separation. The critical role of the co-firing process, sintering aid and atmosphere was critically investigated. The optimization of the production strategy allowed to obtain asymmetric membranes constituted by a dense 20 mu m-thick ceramic-ceramic composite layer supported by a porous (36%) 750 mu m-thick BCZY-GDC substrate. The asymmetric membranes here reported showed H2 fluxes (0.47 mL min(-1) cm(-2) at 750 degrees C) among the highest obtained for an all-ceramic membrane. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
In this study, Pt3-cluster-doped SnS2 was first proposed as the adsorption and sensing materials of typical SF6 decomposed gases (SO2, SOF2, SO2F2 and H2S). Based the density functional theory, the possible applicatio...
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In this study, Pt3-cluster-doped SnS2 was first proposed as the adsorption and sensing materials of typical SF6 decomposed gases (SO2, SOF2, SO2F2 and H2S). Based the density functional theory, the possible application of Pt3-SnS2 as gas sensor or absorbents for the SF6 decomposed gas is discussed through the analysis of the density of states, adsorption energy, charge transfer and the frontier molecular orbital. These results illustrate that the doping of Pt metal clusters can greatly improve the response of pure SnS2 monolayer to the characteristic decomposition gas of sulfur hexafluoride (SF6). The excessive high adsorption energy indicates a strong chemical interaction of the Pt3-SnS2 monolayer with SO2 (-2.800 eV) and H2S (-3.346 eV) molecules, which suggests that Pt3-SnS2 is a potential ideal candidate for gas adsorbent. Moreover, the large variation of band gap and appropriate adsorption energy show that Pt3-SnS2 has the promising to be a candidate gas sensor material for the SOF2 (-1.060 eV), and SO2F2 (-0.904 eV). This study also provides guidance for further study of the SnS2 monolayer doped by transition metal clusters.
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