Search results for " quality control"
showing 10 items of 29 documents
Quality for Global Knowledge-Intensive Organizations: A Step-by-Step Guide
2009
Learning and education as well as knowledge-intensive work processes have become more and more internationalized. Knowledge workers are distributed around the world, study programs are exported across borders, and learners work in globally distributed groups. However, the quality of their work differs in many cases. In this paper, an approach to manage quality within the process of internationalization for globally distributed knowledge-intensive organizations (such as universities) is presented. A particular focus is the field of e-Learning. The key quality factors for internationalization of global learning are defined and examples for quality criteria resulting from these factors are int…
Autoantibody detection using indirect immunofluorescence on HEp-2 cells
2009
The detection of autoantibodies is an important element in the diagnosis and monitoring of disease progression in patients with autoimmune diseases. In laboratory diagnostic tests for connective tissue and autoimmune liver diseases, indirect immunofluorescence on HEp-2 cells plays a central role in a multistage diagnostic process. Despite the high quality of diagnostics, findings at different laboratories can differ considerably due to a lack of standardization, as well as subjective factors. The present paper formulates recommendations for the standardized processing and interpretation of the HEp-2 cell test for the detection of non-organ-specific (especially antinuclear) antibodies. It pr…
Geostatistical 3-dimensional integration of measurements of soil magnetic susceptibility.
2010
In soil magnetometry, two types of measurements are usually performed. The first type is measurements performed on the soil surface, frequently using an MS2D sensor. The second type includes measurements of magnetic susceptibility carried out in the soil profile, usually to a depth of about 30 cm. Up to now, such measurement results were analyzed separately. However, it is possible and advantageous to integrate these two types of measurements. The goal of the study was to integrate measurements of magnetic susceptibility performed on the soil surface and in the soil profile. More specifically, the goal was to obtain 3-dimensional spatial distributions of magnetic susceptibility of the topso…
Quality control of B-lines analysis in stress Echo 2020
2018
Background The effectiveness trial “Stress echo (SE) 2020” evaluates novel applications of SE in and beyond coronary artery disease. The core protocol also includes 4-site simplified scan of B-lines by lung ultrasound, useful to assess pulmonary congestion. Purpose To provide web-based upstream quality control and harmonization of B-lines reading criteria. Methods 60 readers (all previously accredited for regional wall motion, 53 B-lines naive) from 52 centers of 16 countries of SE 2020 network read a set of 20 lung ultrasound video-clips selected by the Pisa lab serving as reference standard, after taking an obligatory web-based learning 2-h module ( http://se2020.altervista.org ). Each te…
On the internal multivariate quality control of analytical laboratories. A case study: the quality of drinking water
2001
Abstract Multivariate statistical process control (MSPC) tools, based on principal component analysis (PCA), partial least squares (PLS) regression and other regression models, are used in the present study for automatic detection of possible errors in the methods used for routine multiparametric analysis in order to design an internal Multivariate Analytical Quality Control (iMAQC) program. Such tools could notice possible failures in the analytical methods without resorting to any external reference since they use their own analytical results as a source for the diagnosis of the method's quality. Pseudo-univariate control charts provide an attractive alternative to traditional univariate …
Ythdf is a N6‐methyladenosine reader that modulates Fmr1 target mRNA selection and restricts axonal growth in Drosophila
2021
Abstract N6‐methyladenosine (m6A) regulates a variety of physiological processes through modulation of RNA metabolism. This modification is particularly enriched in the nervous system of several species, and its dysregulation has been associated with neurodevelopmental defects and neural dysfunctions. In Drosophila, loss of m6A alters fly behavior, albeit the underlying molecular mechanism and the role of m6A during nervous system development have remained elusive. Here we find that impairment of the m6A pathway leads to axonal overgrowth and misguidance at larval neuromuscular junctions as well as in the adult mushroom bodies. We identify Ythdf as the main m6A reader in the nervous system,…
BAG3 Proteomic Signature under Proteostasis Stress
2020
The multifunctional HSP70 co-chaperone BAG3 (BCL-2-associated athanogene 3) represents a key player in the quality control of the cellular proteostasis network. In response to stress, BAG3 specifically targets aggregation-prone proteins to the perinuclear aggresome and promotes their degradation via BAG3-mediated selective macroautophagy. To adapt cellular homeostasis to stress, BAG3 modulates and functions in various cellular processes and signaling pathways. Noteworthy, dysfunction and deregulation of BAG3 and its pathway are pathophysiologically linked to myopathies, cancer, and neurodegenerative disorders. Here, we report a BAG3 proteomic signature under proteostasis stress. To elucidat…
Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts using Multi-task Learning and K-Space Motion Artefact Augmentation
2022
The movement of patients and respiratory motion during MRI acquisition produce image artefacts that reduce the image quality and its diagnostic value. Quality assessment of the images is essential to minimize segmentation errors and avoid wrong clinical decisions in the downstream tasks. In this paper, we propose automatic multi-task learning (MTL) based classification model to detect cardiac MR images with different levels of motion artefact. We also develop an automatic segmentation model that leverages k-space based motion artefact augmentation (MAA) and a novel compound loss that utilizes Dice loss with a polynomial version of cross-entropy loss (PolyLoss) to robustly segment cardiac st…
Quality System for Production Software as Tool for Monitoring and Improving Organization KPIs
2013
In this paper we propose a solution as support for quality systems for production software. The motivation behind this study was to reduce that cost in the production area caused by gaps in the quality of the production software. Our proposal: QSPS (Quality System for Production Software) is offering support in the "vulnerable points" of these quality systems which usually generate nonconformities and have proved to be difficult or impossible to control. QSPS is a method in seven steps or modules that integrates also software tools, templates, checklists, evaluating tools elaborated complying to products, process and system quality standards. If other analyzed methods like: Scrum, XP, Fuzzy…
Quality Indicators in Reference to the Evaluation of the Quality Management of Services in Local Public Administration
2014
Abstract The paper proposes to show evidence in measures of quality through quantification of the level of current performance of an organization, like local public administration, in accordance with performance standards. The evaluation of quality measures the difference between the expected performance and the actual performance, to identify and improve the quality of the local public administration. Standards of performance could be set for different dimensions of quality. For example: the quality of managing documents, the products, processes and services requires the gathering and analysis of information, set in measuring terms. In a few cases the measuring of quality as percentage of …