Filter Results
6230676 results
Correlation matrices
Data Types:
  • Tabular Data
  • Dataset
In active learning, Optimally Balanced Entropy-Based Sampling (OBEBS) method is a selection strategy from unlabelled data. At active zero-shot learning there is not enough information for supervised machine learning method, thus, our sampling strategy was based on unsupervised learning (clustering). The cluster membership likelihoods of the items were essential for the algorithm to connect the clusters and the classes; i.e. to find assignment between them. For best assignment, Hungarian algorithm was used. We developed and implemented adaptive assignment variants of OBEBS method in the software.
Data Types:
  • Software/Code
  • Dataset
  • Text
This is analytical proofs and raw data for research article, “The Influence of Dependability in Adopting Cloud Computing: Focus on Similarities and Differences by IT Intensity and Service Type”. The original study explored the role of a multi-faceted dependability in cloud computing adotion, focusing on clarifying the similarities and differences by IT intensity (by industry) and service type. This article is consists of analytical proofs, measurement items, analytic tables, and raw data. Files included are as follows. ○ File 1 - Title: Details of prior studies on cloud computing adoption - Description: This file presents a review of seventy-nine studies (2009 to 2019) that focused on the adoption of cloud computing adoption at both individual and organizational level. ○ File 2 - Title: Measurement items - Description: This file reports details of the measurement items used in the original research article. ○ File 3 - Title: Samples profiles - Description: This file shows the demographic profiles of the samples. ○ File 4 - Title: Results of measurement invariance test - Description: This file shows the results of measurement invariance test. ○ File 5 - Title: Results of multicollinearity - Description: This file shows the results of variance inflation factor (VIF). ○ File 6 - Title: Hypothesis test results (table format) - Description: This file shows the results of hypothesis test on both full data set and subgroups. ○ File 7 - Title: results of mediation test for full data set - Description: This file shows the results of hypothesis test on both full data set and subgroups. ○ File 8 - Title: results of mediation test for IT intensity by industry - Description: This file shows the results of hypothesis test on IT intensity by industry ○ File 9 - Title: results of mediation test for for service type - Description: This file shows the results of hypothesis test on on service type ○ File 10 - Title: data - Description: This file contains raw data for the original study: 230 samples were used for its analysis.
Data Types:
  • Software/Code
  • Dataset
  • Document
3x2x2 design factor 1: condition (feature-alone color, feature-alone shape, binding) factor 2: block (two experimental runs/condition/participants) factor 3: group (old vs young participants) In this study, we compared the electrophysiological activity associated with the binding process in young (N=22, mean age=28.5) and old (N=22; mean age=67.4) participants in a change detection task. Analysis of event-related brain potentials (ERP) focused on the differences between feature-alone (color or shape) and feature-conjunction (color-shape) conditions in stimulus encoding. Independently of aging, discrimination ability was significantly attenuated in the binding condition. The effect, however, was more pronounced in old participants. ERP components related to the visual feature detection and processing (posterior N1 and frontal P2) were not modulated in the binding condition. Only in old participants, a late positive ERP component (LPC) was increased signaling the allocation of additional resources.
Data Types:
  • Tabular Data
  • Dataset
  • File Set
123 descrizionefd av
Data Types:
  • Tabular Data
  • Dataset
  • Document
Background: Many patients with chronic itch and atopic dermatitis (AD) or psoriasis do not receive/use available medical and psychosocial treatments properly due to system, provider, and/or patient factors. Objective: An educational website (ITCH-RELIEF4Me) to improve itch-related quality of life (QoL) for adults with AD or psoriasis and chronic itch was developed and assessed. Psychometric characteristics of the English version Itch Cognitions Questionnaire and two new measures of scratch as well as sleep-related scratch and itch were evaluated. Methods: Single-arm pre- and post-test design with one-month follow up (N = 137 at baseline).
Data Types:
  • Software/Code
  • Dataset
  • Document
Primary analysis files for bioRxiv manuscript with id 2019/859603 (https://www.biorxiv.org/content/10.1101/859603v1) to evaluate how common variant effect prediction methods capture effect determined by deep mutational scanning experiments. 'data' contains the deep mutational scanning data in a parsed format. See the manuscript for the original data sources which would then be processed with parseRawDatasets.py, followed by manual sequence mapping (resulting in the mapped_seqs.txt files) and then be processed with parseScores.py to result in the .npz files. 'predictionData' contains predictions from SIFT, PolyPhen-2, SNAP2 and Envision, parsed into .npz files. Additional folders are for dummy methods and while executing the below scripts. 'analysis' will contain most of the output files. See below for sample calls to reproduce e.g. Figure 1 from the paper. The scripts are written in Python3 and require, among others, numpy, pandas, scipy, sklearn, rpy2, svgutils and matplotlib. For all scripts the --normalization-scheme flag describes how the experimental scores are processed to fit on the same scale of values. The scheme used for the final manuscript is 'wt0_del_scaled' for deleterious effect variants and 'wt0_ben_scaled' for beneficial effect variants. For compareBinaryDMSToPredictions.py the --binarization-scheme flag describes how scores are binarized to neutral/effect. Possible values are the schemes outlined in the manuscript 'syn90', 'syn95' and 'syn99'.
Data Types:
  • Other
  • Software/Code
  • Sequencing Data
  • Tabular Data
  • Dataset
  • Text
Dataset created during the research of the paper.
Data Types:
  • Tabular Data
  • Dataset
Deregulated expression of MYC induces a dependence on the NUAK1 kinase, but the molecular mechanisms underlying this dependence have not been fully clarified. Here we show that NUAK1 is a predominantly nuclear protein that associates with a network of nuclear protein phosphatase 1 (PP1) interactors and that PNUTS, a nuclear regulatory subunit of PP1, is phosphorylated by NUAK1. Both NUAK1 and PNUTS associate with the splicing machinery. Inhibition of NUAK1 abolishes chromatin association of PNUTS, reduces spliceosome activity and suppresses nascent RNA synthesis. Activation of MYC does not bypass the requirement for NUAK1 for spliceosome activity, but significantly attenuates transcription inhibition. Consequently, NUAK1 inhibition in MYC-transformed cells induces global accumulation of RNAPII both at the pause-site and at the first exon/intron boundary, but does not increase mRNA synthesis. We suggest that NUAK1 inhibition in the presence of deregulated MYC traps non-productive RNAPII due to the absence of correctly assembled spliceosomes.
Data Types:
  • Tabular Data
  • Dataset
  • File Set
we carried out a series of experiments about breakdown performance of multi channel multi gap gas switch for linear transformer driver by using several different kind of insulation gases. we publish the results of our test which has been finished in 2019.
Data Types:
  • Tabular Data
  • Dataset
11