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广西医科大学/郭振亚博士论文/蛋白质谱分析结果
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This is a video clip of the microdischarges status in the entire plasma electrolytic oxidation process
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Supplementary Figures: Supplementary Figure 1. Odds ratio meta-analysis of the association between depression and hidradenitis suppurativa. Supplementary Figure 2. Funnel plot of the association between depression and hidradenitis suppurativa.
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The dataset includes ray characteristics obtained from conventional shooting and bouncing simulations. The nominal and numeric versions are available.
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Hyposmia is one of the early signs in idiopathic Parkinson’s disease (PD). Olfactory stimuli were applied during fMRI scanning to show disease-related modulation of central nervous system structures and to advance our understanding of olfactory dysfunction in PD patients. Although there are a few fMRI studies on hyposmia, the findings are inclusive. Therefore, Using a block design of at a 3.0 T scanner we investigated a total of 19 PD patients and 20 age matched controls, while passively perceiving a positively valenced (rose-like or lavender) odoran .Th edifferent activated brain region are also observed.
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Supplement 1: Report of Cases Seven patients were prescribed dupilumab for chronic recalcitrant presumed AD (cases 1-4), or as an off-label treatment for patients with MF and severe pruritus (cases 5-7). In all 7 patients, the standard dosing regimen for dupilumab was followed (600mg loading dose, followed by 300mg every 2 weeks subcutaneously). Case vignettes and photographs found below.
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The data was collected within a mixed-method, first phase consisting of 2 vignettes that help to identify Health 4.0 as an emerging concept. The second phase consists of 4 main criteria with 11 sub criteria analysed with MACBETH method. The data gathered from 6 individuals, 3 academicians (with expertise health management and strategic management), 2 doctors (medical expertise) and one bank manager (expertise in medical insurance). Participants after the indept interviews, are asked to assess each criteria with the steps of MACBETH. Each of them assessed the alternatives of the value tree within a semantic scale from extreme (an alternative is extremely attractive over another), very strong, strong, moderate, weak to very weak (an alternative is very weakly attractive over another). The assessment has done forming a committee on a consensus-based decision-making process. The data was used for an article to determine drivers and challenges of the Health 4.0 concept entitled “Drivers, Challenges, and Integration of Health 4.0 as Societal Engagement” [1]. The data and method can be used in terms of other novel concepts to create insights and to explore to decision makers’ cognitive perspectives.
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Here are the results in a paper entitled "Characterization of the 2008 phreatomagmatic eruption of Okmok from ArcticDEM and InSAR: deposition, erosion, and deformation" submitted to JGR Solid Earth in 2020. The main revision compared to version 1: This revision does not use one DEM (acquired on 15 May 2016) that was partly contaminated by clouds in the north flank of Ahmanilix. This revision mostly improves the result of the elevation change rate (rate.tif), but it also slightly changes the elevation change data and its corresponding uncertainties. It includes the 2-m resolution surface elevation change of the 2008 Okmok eruption (Fig. 3a in the paper) and the 2-m resolution post-eruptive elevation change rate map (Fig. 4), as well as the corresponding uncertainties (Fig. S3). It also includes the boundary of the proximal deposit field classified using a minimum elevation increase of 2 m, the boundary of large slope failure, and the shorelines of two lakes (Fig. 3a and S5) at different acquisition times. The GeoTIFF files can be viewed in free and open-source software QGIS, in Google Earth, or by Matlab using code https://github.com/ihowat/setsm_postprocessing/blob/master/readGeotiff.m. The shapefiles can be viewed in QGIS. Google Earth may not show some of the shapefiles well.
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Appendix C. The model considers the effects of band edge unpinning on the transient photocurrent response as the result of the build up of minority carriers at the semiconductor/electrolyte interface. The approach is explained in the paper and also in the notes uploaded here. Three Matlab programs are available here to calculate transient behaviour as a function of input variables. See notes from Alison Walker on how to run the Matlab code. The submitted manuscript is also available here with examples of calculated responses.
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This feed-forward neural network for discriminating PAH from PVOD is based on the R packages 'caret' and 'nnet'. It was trained on transcriptomics data acquired with the NanoString nSolver technology. Please see the referenced article for further information! The .rds file contains the serialized model. In order to read the model into an R environment the following steps have to be performed: - Start an R terminal - Execute the 'readRDS' function with the (relative) path to the RDS file as only option and store the returned object in a variable - The returned object is of the class caret::train and can directly be used for the classification of samples (given that the data has been identically prepared/normalized) Please see the manuals of the R packages 'caret' and 'nnet' for help on how to use the loaded objects. Examplary R commands: model.caret <- readRDS(file="model.rds") # object of class 'train' (R package 'caret') containing the final model and all training parameters model.final <- model.caret$finalModel # the final model as object of class 'nnet' (R package 'nnet') print(model.caret$trainingData)# display the data used for training the model
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