scholarly journals NiPreps: enabling the division of labor in neuroimaging beyond fMRIPrep

2019 ◽  
Author(s):  
Oscar Esteban ◽  
Jessey Wright ◽  
Christopher Johnson Markiewicz ◽  
William Hedley Thompson ◽  
Mathias Goncalves ◽  
...  

The current neuroimaging workflow has matured into a large chain of processing and analysis steps involving a large number of experts, across imaging modalities and applications. The development and fast adoption of fMRIPrep [1] have revealed that neuroscientists need tools that simplify their research workflow, provide visual reports and checkpoints, and engender trust in the tool itself. Here we present the NiPreps (NeuroImaging Preprocessing toolS) framework, which extends fMRIPrep's approach and principles to new imaging modalities. The vision for NiPreps is to provide end-users (i.e., researchers) with applications that allow them to perform quality control smoothly and to prepare their data for modeling and statistical analysis.

2017 ◽  
Vol 9 (5) ◽  
pp. 27
Author(s):  
Ashraf Ahmad Zaghloul

INTRODUCTION: Marketing the hospital image through advertising shapes the sources of information upon which the patient takes a decision to purchase the service. Advertisement is considered to be one of the marketing activities geared towards promoting the hospital’s image. The aim of this study is to explore and investigate the determinants of consumer behavior toward newspaper advertising eye-catchers for hospitals and medical care in the UAE.METHODOLOGY: A cross-sectional study design was followed using the snowball technique to select a convenient sample of the population of Sharjah, UAE. The total number of questionnaires valid for statistical analysis accounted for a 402.RESULTS: The significant adjusted odds included in the model were occupation (Administrative) = 2.1 (CI 1.1-4.5), name and brand = 0.4 (CI 0.1-0.8), clinical staff photo = 0.2 (CI 0.1-0.7), and location = 3.9 (CI 1.3-11.9).  CONCLUSION: Healthcare organizations are required to further assess the feedback of their marketing plans especially newspaper advertisement budgets through the quality control activities performed at these organizations.


2018 ◽  
Vol 35 (8) ◽  
pp. 1605-1620 ◽  
Author(s):  
Susan Rennie ◽  
Peter Steinle ◽  
Alan Seed ◽  
Mark Curtis ◽  
Yi Xiao

AbstractA new quality control system, primarily using a naïve Bayesian classifier, has been developed to enable the assimilation of radial velocity observations from Doppler radar. The ultimate assessment of this system is the assimilation of observations in a pseudo-operational numerical weather prediction system during the Sydney 2014 Forecast Demonstration Project. A statistical analysis of the observations assimilated during this period provides an assessment of the data quality. This will influence how observations will be assimilated in the future, and what quality control and errors are applicable. This study compares observation-minus-background statistics for radial velocities from precipitation and insect echoes. The results show that with the applied level of quality control, these echo types have comparable biases. With the latest quality control, the clear air observations of wind are apparently of similar quality to those from precipitation and are therefore suitable for use in high-resolution NWP assimilation systems.


Author(s):  
Robert Costello

Evaluating e-learning is an important measure for quality control, which aims to improve the whole e-learning environment through taking into consideration users’ perceptions and needs, as well as participants, stakeholders, and institutions. However, literature does indicate that institutions are only using e-learning as a repository for uploading academic materials, instead of taking into consideration of features and the learner. This chapter examines a variety of evaluation techniques adopted from e-learning, personalised learning, and User Modelling to suggest improvements within the industry to challenge the end users’ perceptions of on-line education.


Author(s):  
Robert Costello

Evaluating e-learning is an important measure for quality control, which aims to improve the whole e-learning environment through taking into consideration users' perceptions and needs, as well as participants, stakeholders, and institutions. However, literature does indicate that institutions are only using e-learning as a repository for uploading academic materials, instead of taking into consideration of features and the learner. This chapter examines a variety of evaluation techniques adopted from e-learning, personalised learning, and User Modelling to suggest improvements within the industry to challenge the end users' perceptions of on-line education.


1987 ◽  
Author(s):  
A GOGUEL ◽  
A HOUBOUYAN ◽  
J ROUSSI

One of the aim of the survey conducted in last december 1986 was to assess the efficacy of 2 procedures of standardization :1) the INR system, derived from thromboplastin calibration and adopted in 1983 by the WHO.2) the Reference Calibrated Plasmas (RCP) procedure, evaluated on large scale, through French interlaboratory trials (1977-85), exhibiting net improvement of the dispersion of overall data.Labs were asked to perform with their local thromboplastin and method, the PT of a human lyophilized plasma 86 H/I, originated from long term antivitarnines-K (AVK) treated patients. Results were expressed *in time ; *in % activity, according to the traditional procedure based on saline dilutions of normal plasma ; *in INR using the ISI of the local reagent calibrated by the manufacturer. Calibrated plasmas procedure allow the determination of corrected activity ; *in % activity and INR, according to the linear calibration curve obtained from the PT of 2 reference calibrated plasmas with determinated activities in INR and % activity. These RCP were provided with and tested under the same conditions as plasma 86 H/I6 (2 systems of RCP : AVK and artificially depleted).Statistical analysis shows that the "RCP" procedure leads to the best improvement of the interlaboratory variation for the overall data, and the best uniformization of mean results, whatever the way of expression (%, INR), the thromboplastin brand, and the method of PT testing. Results play also in favour of a system of AVK reference plasmas, giving a better grouping than the artificial calibrated plasmas. The INR system nevertheless provides a common scale of data reporting, but might hold profit from an efficient procedure of standardization, such as the calibrated AVK plasmas procedure.Coefficient of variation (CV) expressed in %. Overall data PT of 86 H/I. French Etalonorme Survey.


2019 ◽  
Vol 35 (24) ◽  
pp. 5359-5360 ◽  
Author(s):  
Caroline J Sands ◽  
Arnaud M Wolfer ◽  
Gonçalo D S Correia ◽  
Noureddin Sadawi ◽  
Arfan Ahmed ◽  
...  

Abstract Summary As large-scale metabolic phenotyping studies become increasingly common, the need for systemic methods for pre-processing and quality control (QC) of analytical data prior to statistical analysis has become increasingly important, both within a study, and to allow meaningful inter-study comparisons. The nPYc-Toolbox provides software for the import, pre-processing, QC and visualization of metabolic phenotyping datasets, either interactively, or in automated pipelines. Availability and implementation The nPYc-Toolbox is implemented in Python, and is freely available from the Python package index https://pypi.org/project/nPYc/, source is available at https://github.com/phenomecentre/nPYc-Toolbox. Full documentation can be found at http://npyc-toolbox.readthedocs.io/ and exemplar datasets and tutorials at https://github.com/phenomecentre/nPYc-toolbox-tutorials.


2017 ◽  
Vol 45 (15) ◽  
pp. e145-e145 ◽  
Author(s):  
Rene Welch ◽  
Dongjun Chung ◽  
Jeffrey Grass ◽  
Robert Landick ◽  
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