The Impact of Continuous Code Quality Assessment on Defects

Author(s):  
Pfeiffer Rolf-Helge
2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 95.1-96
Author(s):  
D. Berkovic ◽  
C. Parker ◽  
D. Ayton ◽  
A. M. Briggs ◽  
I. Ackerman

Background:On a global scale, it is estimated that adults in their peak income-earning years are disproportionately impacted by arthritis (1). Younger adults with arthritis are less likely to be employed and are more likely to face productivity challenges at work when compared to healthy similar-aged peers (2). The work-related impacts of arthritis on younger adults remain largely unexplored and are rarely considered in routine clinical care for arthritis.Objectives:To systematically identify, appraise and synthesise the available evidence on work impacts experienced by individuals aged 16-50 years with arthritis.Methods:Eligible studies from 2000 - 2020 were identified in OVID Medline, PsycINFO, Embase, and CINAHL databases using a comprehensive search strategy. Quantitative and qualitative studies containing self-reported data on the work impacts of arthritis on younger people were included. Quality assessment was undertaken using validated quality appraisal tools (3).Results:From a yield of 300 studies, 35 were included in the review. After quality assessment and exclusion of the lowest-ranked studies, 28 studies (17 quantitative, 11 qualitative) were analysed. Work outcomes data were organised into five themes (1-3 for quantitative outcomes, 4-5 for qualitative outcomes): (1) the impacts of arthritis on work productivity; (2) the impacts of arthritis on work participation; (3) other arthritis attributable workplace challenges; (4) barriers to work participation associated with arthritis, and (5) enablers to work participation associated with arthritis. For quantitative themes, arthritis was strongly associated with other workplace challenges: scores on the Workplace Activity Limitations Scale ranged from 5.9 (moderate workplace difficulty) to 9.8 (considerable workplace difficulty); and work disability relative to the healthy population (prevalence ranging from 6% - 80%). For qualitative themes, barriers to work participation included lack of workplace support; enablers included workplace support and intrinsic motivation to work.Conclusion:Arthritis is associated with poorer work outcomes for younger people relative to healthy peers. The available evidence was heterogeneous across studies. Additional research focusing solely on the unique workplace needs of younger population groups is required. This would inform the development of tailored intervention or workplace support strategies to maximise productive working years.References:[1]European League Against Rheumatism. Horizon 2020 Framework Programme: EULAR’s positions and recommendations. EULAR 2011.[2]Jetha A. (2015). The impact of arthritis on the early employment experiences of young adults: A literature review. Disabil Health J. 8(3) 317-324.[3]Joanna Briggs Institute. Critical Appraisal Tools. The University of Adelaide 2019.Disclosure of Interests:None declared


2015 ◽  
Vol 15 (7) ◽  
pp. 88-98
Author(s):  
J. Dezert ◽  
A. Tchamova ◽  
P. Konstantinova

Abstract The main purpose of this paper is to apply and to test the performance of a new method, based on belief functions, proposed by Dezert et al. in order to evaluate the quality of the individual association pairings provided in the optimal data association solution for improving the performances of multisensor-multitarget tracking systems. The advantages of its implementation in an illustrative realistic surveillance context, when some of the association decisions are unreliable and doubtful and lead to potentially critical mistake, are discussed. A comparison with the results obtained on the base of Generalized Data Association is made.


Author(s):  
Akhil Mulloth ◽  
Gabriel Banks ◽  
Giulio Zamboni ◽  
Simon Bather

Gas turbine performance is highly dependent on the quality of the manufactured parts. Manufacturing variations in the parts can significantly alter the performance, especially efficiency and thus SFC. The legacy process is to accept variations within predefined profile tolerance limits and a few other qualitative parameters, mostly at a few, key two-dimensional aerofoil sections. With the widespread use of White light scans and other similar three-dimensional scans, this has improved to include the three-dimensional profile. The future however may lie with performance based quality assessment of manufactured parts, combined with quantitative surface quality assessment to implement an intelligent screening process for the parts. The adjoint method, typically used for shape optimization is adapted to provide a prediction of the impact on performance due to manufacturing variations. The work presented outlines a three stage quality assessment process for manufactured parts, involving three-dimensional profile tolerance based screening, followed by a surface curvature based screening and finally an Adjoint based performance prediction.


2019 ◽  
Author(s):  
Imad Abugessaisa ◽  
Shuhei Noguchi ◽  
Melissa Cardon ◽  
Akira Hasegawa ◽  
Kazuhide Watanabe ◽  
...  

AbstractAnalysis and interpretation of single-cell RNA-sequencing (scRNA-seq) experiments are compromised by the presence of poor quality cells. For meaningful analyses, such poor quality cells should be excluded to avoid biases and large variation. However, no clear guidelines exist. We introduce SkewC, a novel quality-assessment method to identify poor quality single-cells in scRNA-seq experiments. The method is based on the assessment of gene coverage for each single cell and its skewness as a quality measure. To validate the method, we investigated the impact of poor quality cells on downstream analyses and compared biological differences between typical and poor quality cells. Moreover, we measured the ratio of intergenic expression, suggesting genomic contamination, and foreign organism contamination of single-cell samples. SkewC is tested in 37,993 single-cells generated by 15 scRNA-seq protocols. We envision SkewC as an indispensable QC method to be incorporated into scRNA-seq experiment to preclude the possibility of scRNA-seq data misinterpretation.


2021 ◽  
Author(s):  
Laura Jefferson ◽  
Su Golder ◽  
Veronica Dale ◽  
Holly Essex ◽  
Elizabeth McHugh ◽  
...  

Background Over recent years chronic stress and burnout have been reported by doctors working in general practice in the UK NHS and internationally. The COVID-19 pandemic has changed general practitioners working lives; adding potential pressures from avoiding infection and addressing pent-up demand for care, but also changing processes such as rapidly taking up remote consultations. To date, there has been a focus on exploring the impact of the pandemic on the wellbeing of hospital clinicians. No registered systematic reviews currently focus on exploring the impact of the pandemic on the mental health and wellbeing of general practitioners. Aims and objectives To synthesise the current international evidence base exploring the impact of COVID-19 on the mental health and wellbeing of general practitioners, and which factors are associated with their reported mental health and wellbeing during the pandemic. Methods In this paper we report a systematic review protocol, following PRISMA guidance. In our search strategy we will identify primary research studies or systematic reviews exploring the mental health and wellbeing of general practitioners during the COVID-19 pandemic in four databases (MEDLINE, Embase, PsychInfo and Medrxiv) and Google Scholar. We will hand-search reference lists and grey literature. Two reviewers will undertake all stages including study selection, data extraction and quality assessment, with arbitration by a third reviewer where necessary. We will use standardised quality assessment tools to ensure transparency and reduce bias in quality assessment. Depending on the quality of included studies, we may undertake a sensitivity analysis by excluding studies from narrative synthesis that are rated as low quality using the checklists. We will describe the findings across studies using narrative thematic data synthesis, and if sufficiently homogenous data are identified, we will pool quantitative findings through meta-analysis.


2020 ◽  
Vol 5 (3-4) ◽  
pp. 215-234
Author(s):  
Geraldine Seguela ◽  
J. R. Littlewood ◽  
G. Karani

Abstract This paper documents a non-potable water (NPW) quality assessment methodology for a decentralized non-potable water system in Abu Dhabi (AD), capital city of the United Arab Emirates (UAE), which is dominated by sandy and salty soil, high temperature, and humidity. The context is a medical facility case study (MFCS) in AD, which includes a landscape 50% as large as its building footprint. The project identified the need to investigate the impact of air handling unit (AHU) air conditioning (A/C) condensate water (CW) quality on soil health and building hydraulic systems. The aim of the research was to measure the impact of using recycled on-site NPW sources in a MFCS in AD, to alleviate the use of desalinated potable water and reduce associated energy consumption, operation cost, and greenhouse gas emissions for landscape irrigation (LI) and water feature (WF) use. CW has been tested in 2016 and in 2017 and analysed against local authority’s parameter limits to establish suitability for LI and WF use. The findings are that in AD CW classification and characterization is a gap in knowledge whereby salinity and toxicity concentration limits should be addressed by the local authority because CW has an impact on soil infiltration rate due its low dissolved salt content as evidenced by the water test results. The recommendations for this paper are to develop a sustainable water conservation and reuse (SWC) strategy forming the basis for a water protocol by the competent authority for regional medical facility including a methodology for assessing on-site NPW quality for outdoor reuse to reduce soil infiltration problems and consequently conserve water and associated energy. The next steps are to confirm if the MFCS soil infiltration rate is affected by the CW or other factors, and to test additional NPW types.


2021 ◽  
Vol 10 (7) ◽  
pp. 475
Author(s):  
Ting Zhang ◽  
Ruiqing Yang ◽  
Yibo Yang ◽  
Long Li ◽  
Longqian Chen

The remote-sensing ecological index (RSEI), which is built with greenness, moisture, dryness, and heat, has become increasingly recognized for its use in urban eco-environment quality assessment. To improve the reliability of such assessment, we propose a new RSEI-based urban eco-environment quality assessment method where the impact of RSEI indicators on the eco-environment quality and the seasonal change of RSEI are examined and considered. The northern Chinese municipal city of Tianjin was selected as a case study to test the proposed method. Landsat images acquired in spring, summer, autumn, and winter were obtained and processed for three different years (1992, 2005, and 2018) for a multitemporal analysis. Results from the case study show that both the contributions of RSEI indicators to eco-environment quality and RSEI values vary with the season and that such seasonal variability should be considered by normalizing indicator measures differently and using more representative remote-sensing images, respectively. The assessed eco-environment quality of Tianjin was, overall, improving owing to governmental environmental protection measures, but the damage caused by rapid urban expansion and sea reclamation in the Binhai New Area still needs to be noted. It is concluded that our proposed urban eco-environment quality assessment method is viable and can provide a reliable assessment result that helps gain a more accurate understanding of the evolution of the urban eco-environment quality over seasons and years.


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