Final Quality Assessment Research Articles

Ecological assessment of pastures semi-deserts and dry steppes of Azerbaijan

The absence in the scientific literature of criteria for assessing the ecological status of pasture lands, insufficient knowledge of the use of predictive methods and technology for carrying out special agrochemical measures, as well as issues of permissible loads, served as the basis for choosing the topic of research work. For the first time, in the conditions of pastures in Azerbaijan, an environmental and energy assessment of soil-landscape complexes was carried out. A detailed and final quality assessment was drawn up on soil scale, and the coefficient of their comparative merit was determined. A scientifically based system of agrochemical measures for the superficial and fundamental improvement of pastures has been developed. The final bonitet scale, reflecting the level of fertility of soil varieties, showed that the soils of the Jeyranchol massif turned out to be the most fertile at 62 points, compared with them, the pasture soils of Ajinohur on average across the massif received 53 points, Gobustan 51 points, and the Kura-Araz lowland 55 points. On average, pasture lands in Azerbaijan are valued at 55 points, which indicates the need for agro-reclamation measures. The types of forage plants are distributed as follows: i) Cereals 116, 12%; ii) Asteraceae 109, 11.2%; iii) Legumes 82, 8.4%; iv) Brassicas 59, 6.2%; 6%; v) Cloves 50, 5.3%; vi) Lamiaceae 42, 4.6%; vii) Linear 40, 4.2%; viii) Goosefoot 6, ix) Gimletaceae 32 species, 3.4%; x) Umbrellas 38, 4.4%; xi) Other 339 types, 35.5%.

Real-Time Monitoring of Dough Quality in a Dough Mixer Based on Current Change

Accurate assessment of dough kneading is pivotal in pasta processing, where both under-kneading and over-kneading can detrimentally impact dough quality. This study proposes an innovative approach utilizing a cost-effective current sensor to ascertain the optimal kneading time for dough. Throughout the kneading process, the dough’s tensile resistance gradually increases, reflecting the evolution of properties such as the gluten network. This leads to a discernible ascending phase in dough quality, evident through an increase in the load current of the mixing machine, succeeded by a subsequent decline beyond a certain threshold. The identification of this peak point enables the achievement of optimal dough consistency, thereby enhancing the overall quality of both the dough and subsequent pasta products. After the final product quality assessment, this novel method promises to be a valuable tool in optimizing pasta processing and ensuring consistent product quality.

Non-intrusive assessment of speech quality for classical Chinese poetry recitals using perceptual and acoustic features

Non-intrusive speech quality assessment is vital for objectively rating vast speech datasets without pristine reference signals. However, most existing research emphasizes speech clarity, neglecting tempo and rhythm. Different from normal Chinese speech, the prosody of classical Chinese poetry conveys profound emotion and a unique classical beauty. To assess the speech quality of classical Chinese poetry recitals across varied reciters and recording conditions, it's essential to design modules evaluating both clarity and prosody. In this paper, we propose a non-intrusive assessment method, utilizing perceptual and acoustic features as key indicators. First, by extracting the poetry's pitch frequency, we quantify the reference assessment function, deriving a prosodic score based on deviation degrees. Secondly, we devise a residual-structured neural network to capture the Mel-spectrogram's perceptual features, yielding the objective MOS score. Finally, we craft a comprehensive model using second-order polynomial regression to map both the objective MOS and prosody scores to the poetry recital quality score. After experimental validation, prosody and clarity modules both show outstanding prediction accuracy. The final quality assessment score performs a high correlation with human perception.

Comparing Oral Versus Intravenous Antibiotics Administration for Cellulitis Infection: Protocol for a Systematic Review and Meta-Analysis

Background Cellulitis is defined as an infection of the skin that is usually characterized by localized but poorly demarcated areas of erythema, swelling, and pain. Erysipelas is a subtype of cellulitis that is characterized by a more superficial infection, often involving the face. Because gram-positive bacteria are the most common infective agent, beta-lactam antibiotics such as cephalosporins are commonly used. However, guidelines and physician preference vary widely as different antibiotic options and routes of administration exist, in addition to the fact that most cases are treated empirically without microbiological lab guidance. This lack of standardization in evidence, guidelines, and physician practice prompted this systematic review and meta-analysis of both randomized trial data and cohort studies to aggregate the currently available evidence for the optimal routes of antibiotic administration in cellulitis treatment. Objective The primary objective of our review is to compare the efficacy of oral versus intravenous antibiotic administration for cellulitis infections, thereby providing clinicians with evidence-based guidelines for treatment. Methods We will search MEDLINE, Embase, and CENTRAL through Ovid as well as Web of Science and CINAHL for all available literature comparing different routes of antibiotic administration in the treatment of cellulitis and erysipelas. We will perform title and abstract as well as full-text screening in duplicate according to the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) guidelines and then extract the relevant data using a prepiloted data sheet. The primary outcome for our review is the duration of infection resolution, and secondary outcomes such as incidence of sepsis, mortality, hospital admission, and Clostridium difficile infection. We will assess the risk of bias in our included studies using the RoB 2.0 (revised tool for Risk of Bias in randomized trials) and ROBINS-I (Risk of bias in non-randomized studies for interventions) tools, with a final quality assessment using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) framework and a sensitivity analysis to examine heterogeneity. Results We will publish the final results of our systematic review in a peer-reviewed academic journal. This project received no funding or financial assistance. Data analysis is currently underway, and the results are expected to be submitted for publication in late November 2023. Conclusions To our knowledge, this will be the most up-to-date review of the best available evidence comparing different routes of antibiotic administration for cellulitis. Because of the vast selection of antibiotic options available and the empirical nature of the treatment, we anticipate heterogeneity within our data but nonetheless hope to provide aggregated evidence on the efficacy of intravenous versus oral administration of antibiotics in cellulitis treatment. We hope the results from this study will better inform physician practices in the future for cellulitis infections. International Registered Report Identifier (IRRID) PRR1-10.2196/48342

Estrogen's Tissue-Specific Regulation of the SLC26A6 Anion Transporter Reveal a Phenotype of Kidney Stone Disease in Estrogen-Deficient Females: A Systematic Review.

Kidney stone formation is an intricate process that involves a disruption in the interplay of the multiple organs and systems involved in regulating the concentration of specific ions in the body. Women who have gone through menopause are susceptible to kidney stone disease.This systematic review aims toinvestigatethe potential influence of estrogen on kidney function and oxalate homeostasis, notably through the anion transporter SLC26A6 (also known as putativeanion transporter1 or PAT1)in females. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist, a systematic search of online databases included Pubmed, ScienceDirect Journals, and Ingenta Connect Journals. Predetermined criteria to include and exclude papers, gathering articles published between 2012 and 2022, were determined. After a thorough analysis, eight articles (three cohorts, one case-control, one in vivo, one in vitro, and two cross-sectional studies) were identified for the final quality assessment review. The eight selected and quality-assessed articles provided evidence of a directly proportional connection between estrogen and kidneyfunction. Acorrelation between serum estrogen levels and the development of kidney stone disease was confirmed. Administration of β-estradiol was shown to effectively inhibit the function of the anion transporter PAT1 in a tissue-specific manner. In the case of the kidney, estrogen wasobserved to down-regulate PAT1, which led to a reduction in oxalate transporting activity and, consequently, a decrease in kidney stone formation. Consensus suggests that serum estrogen levels and optimal kidney functioning are interrelated. Furthermore,analysis of the quality-assessed articles and a comprehensive literature review revealed estrogen'stissue-specific regulation of the PAT1 anion transporter aids in maintaining kidney function and anion homeostasis.Additional research is needed to solidify estrogen's role in kidney stone disease to determine its therapeutic value in clinical practice.

Visual quality and safety monitoring system for human-robot cooperation

Efficient workspace awareness is critical for improved interaction in cooperative and collaborative robotic applications. In addition to safety and control aspects, quality-related tasks such as the monitoring of manual activities and the final quality assessment of the results are also required. In this context, a visual quality and safety monitoring system is developed and evaluated. The system integrates close-up observation of manual activities and posture monitoring. A compact single-camera stereo vision system and a time-of-flight depth camera are used to minimize the interference of the sensors with the operator and the workplace. Data processing is based on a deep learning to detect classes related to quality and safety aspects. The operation of the system is evaluated while monitoring a human-robot manual assembly task. The results show that the system ensures a high level of safety, provides reliable visual feedback to the operator on errors in the assembly process, and inspects the finished assembly with a low critical error rate.

Результаты проведения в 2020–2022 гг. независимой оценки качества условий осуществления образовательной деятельности организациями, осуществляющими образовательную деятельность по образовательным программам высшего образования и дополнительным профессиональным программам

The article summarizes the results of the 2020–2022 independent assessment of the quality of the conditions for the provision of services in relation to educational organizations that carry out educational activities on educational programs of higher education and additional professional programs. The dynamics of the number of participants in the independent assessment procedure and their distribution among the main administrators of federal budget funds are presented. The results of the analysis of the final quality assessment for all organizations, as well as in the context of individual criteria and indicators are given. The authors noted the rather high quality of the conditions for the implementation of educational activities provided by the participating organizations of the procedure and a clear improvement in the quality of these conditions in the period from 2020 to 2022, and also made a conclusion about the effectiveness of the IQC procedure, about its stimulating, and not just controlling effect.

What Makes a Quality Health App? Developing a Global Research-based Health App Quality Assessment Framework for CEN-ISO/TS 82304-2: A Delphi Study.

The lack of an international standard for assessing and communicating health app quality and even of consensus about what makes a high-quality health app negatively affects uptake of such apps. At the request of the European Commission, international Standard Development Organizations (SDOs) CEN-CENELEC, ISO, and IEC have joined forces to develop a Technical Specification (TS) for assessing the quality and reliability of health and wellness apps. This study aimed to create a useful, globally applicable, trustworthy, and usable framework to assess health app quality. A two-round Delphi technique with 83 experts from 6 continents (predominantly Europe) participating in one (n=42) or both (n=41) rounds was used to achieve consensus on a framework for assessing health app quality. Aims included identifying the at most 100 requirement questions for uptake of health apps that do or do not qualify as medical devices. The draft assessment framework was built on 26 existing frameworks, the principles of stringent legislation, and input from 20 core experts. A follow-up survey with 28 respondents informed a scoring mechanism for the questions. After subsequent alignment with related standards, the quality assessment framework was tested and fine-tuned with manufacturers of 11 COVID-19 symptom apps. National mirror committees from the 52 countries spanning 6 continents who participated in the SDO technical committees, were invited to comment on 4 working drafts and afterwards vote on the TS. The final quality assessment framework includes 81 questions, 67 of which impact the scores of 4 overarching quality aspects. After testing with people with low health literacy, these aspects were phrased as 'Healthy and safe', 'Easy to use', 'Secure data', and 'Robust build'. The scoring mechanism enables communication of the quality assessment results in a health app quality score and label, alongside a detailed report. Unstructured interviews with stakeholders revealed that evidence and third-party assessment are needed for health app uptake. The manufacturers considered the time needed to complete the assessment and gather evidence (2 to 4 days) acceptable. Publication of CEN-ISO/TS 82304-2:2021 Health software - Part 2: Health and wellness apps - Quality and reliability was approved in May 2021 in a nearly unanimous vote by 34 national SDOs from 6 continents. These included 6 of the 10 most populous countries worldwide (China, India, the US, Pakistan, Brazil, and Russian Federation). A useful and usable international standard for health app quality assessment was developed. Its quality, approval rate, and early use provide proof of its potential to become the trusted, commonly used global framework. The framework will help manufacturers to enhance and efficiently demonstrate the quality of health apps, consumers and healthcare professionals to make informed decisions on health apps, and insurers to make reimbursement decisions on health apps.

Clinical Effectiveness of Vestibular Shields in Orthodontic Treatment: A Scoping Review.

This systematic literature search was performed to determine the clinical effectiveness of vestibular shields (VSs) in children undergoing orthodontic treatment. A comprehensive electronic search was performed in May 2022 using three databases (Medline via PubMed, the Cochrane Central Register of Controlled Trials, and Ovid). The initial screening of articles was based on titles and abstracts. Studies meeting the inclusion criteria were retrieved for the final quality assessment and the methodological qualities were assessed according to the Newcastle-Ottawa Scale and Cochrane risk of bias. The initial search identified 262 publications, of which 15 studies were potentially eligible, with excellent intra-examiner reliability (K = 0.88). A total of five studies were selected for the final analysis, including one randomized controlled trial, three clinical trials, and one cohort study. VS may have potential impacts on orthodontic treatment, lips and dental arches, but further high-quality studies are warranted.

Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method

With the rapid development of science and technology, the big data market has emerged. In addition to the influence of the modern market environment, more and more enterprises pursue great profits, which requires enterprises to have higher standards for their products. Therefore, product innovation is an inevitable trend. However, product innovation is a comprehensive problem, involving a wide range. Both the characteristics of the product and the consumer should be taken into account. In the design method, it is necessary to pay attention to the interrelation with big data. Firstly, the theory of big data technology is expounded, including the framework and the principle of big data technology, and the classification of data analysis. Secondly, this research explains the process and method of product design, as well as the market-based research process, and proposes the route of using big data technology for product innovation. Finally, the Microsoft COCO: Common Objects in Context (MS-COCO) data set is taken as the research object, and ten groups of data are selected. Through the Back Propagation Neural Network (BPNN) model and neural style transfer (NTS) model, the results of the product innovation design method of big data technology are predicted. Two experiments were carried out, namely, the comparison analysis of the prediction accuracy of BPNN and NTS model; the error analysis of BPNN prediction and NTS model, and the final quality assessment of the two products. The final results reveal that: (1) the prediction accuracy of the BPNN is around 95.71%, and the prediction accuracy of the NTS model is about 85.7%. Therefore, the prediction accuracy of the BPNN is obviously higher than that of the NTS model in the product innovation design method. (2) The mean absolute error (MAE) of the prediction of the BPNN model is about 0.08, and the MAE of the prediction of the NTS model is about 0.11. Thus, the error of the BPNN model in the product innovation design method for product prediction is small. Furthermore, based on the BPNN model, the quality assessment of the two products is finally carried out, and the error rate is 0.11% and 0.12% respectively, which is very small. Thereby, the BPNN model has higher accuracy in predicting the product innovation design methods. The big data technology studied here is of great significance to the product innovation design method and has certain research significance for the intelligent and systematic design of products. Combined with the BPNN model, the accuracy of the prediction ability of product innovation can be guaranteed to a certain extent. This article is protected by copyright. All rights reserved.

Identifying eating disorders in adolescents and adults with overweight or obesity: A systematic review of screening questionnaires.

ObjectiveThis review aimed to examine the validity of self‐report screening questionnaires for identifying eating disorder (ED) risk in adults and adolescents with overweight/obesity.MethodFive databases were searched from inception to September 2020 for studies assessing validation of self‐report ED screening questionnaires against diagnostic interviews in adolescents and adults with overweight/obesity. The review was registered with PROSPERO (https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=220013).ResultsTwenty‐seven papers examining 15 questionnaires were included. Most studies validated questionnaires for adults (22 of 27 studies), and most questionnaires (12 of 15) screened for binge eating or binge‐eating disorder (BED). The Eating Disorder Examination Questionnaire (sensitivity = .16–.88, specificity = .62–1.0) and Questionnaire on Eating and Weight Patterns (sensitivity = .07–1.0, specificity = .0–1.0) were most frequently validated (six studies each). Five studies of three questionnaires were in adolescents, with the Adolescent Binge‐Eating Disorder Questionnaire having highest sensitivity (1.0) but lower specificity (.27). Questionnaires designed to screen for BED generally had higher diagnostic accuracy than those screening for EDs in general.DiscussionQuestionnaires have been well validated to identify BED in adults with overweight/obesity. Validated screening tools to identify other EDs in adults and any ED in adolescents with overweight/obesity are lacking. Thus, clinical assessment should inform the identification of patients with co‐morbid EDs and overweight/obesity.Public SignificanceIndividuals with overweight/obesity are at increased risk of EDs. This review highlights literature gaps regarding screening for ED risk in this vulnerable group. This work presents possibilities for improving care of individuals with overweight/obesity by reinventing ED screening tools to be better suited to diverse populations.

Film and Digital Media: Open Issues and Novel Approaches for Digital Color Film Restoration

The problems and issues which can affect color film restoration may involve all the steps of the cinematographic and photographic restoration workflow, from the digitization to the final quality assessment. In this paper, I aim at providing an overview of the main problems which can occur throughout a digital restoration, with particular focus on glare effect, and at offering some novel solutions.

Leveraging Spirituality and Religion in European For-profit-organizations: a Systematic Review

This systematic review synthesises the available evidence regarding the European understanding of workplace spirituality (definitions), the importance of spirituality and religion (evidence) as well as spiritual leadership (meaning and practice) in for-profitorganizations. The search for eligible studies was conducted in OPAC Plus, SCOPUS, Science Direct, JSTOR, EBSCO, and Google Scholar from 2007/01 to 2017/07. Three independent scholars extracted the data. Twenty studies were included (two mixed-methods, eight quantitative, ten qualitative) for the final quality assessment. A study quality assessment and thematic analysis was conducted. This review gives suggestions for study quality improvement and reporting. Thematically, two different approaches to religion and spirituality (R/S) were detected: a) work has a spiritual dimension and b) religious and spiritual orientation as “spiritual capital”. Studies demonstrated positive effect on job satisfaction, health, commitment, company productivity and sustainability; Christian leadership does not address personal religious orientation; the spiritual dimension may lead to a change of perspective; workplace spirituality may exploit people for profit-oriented business goals; non-white Muslims experience discrimination. This systematic review provides robust evidence and findings for evidence-informed policymaking and encourages a more rigorous research in this field of study.

Perspectives on the systematic review for the 2020 Dietary Reference Intakes for Koreans for calcium.

An accurate assessment of the recommended calcium (Ca) intake may contribute to reducing the risk of fractures and chronic diseases, ultimately improving quality of life. This review was performed to summarize key findings of Ca studies, investigate the effect of Ca intake on health outcomes, and determine the adequacy of evidence to revise the 2015 Dietary Reference Intakes for Koreans (KDRIs) for Ca in 2020. Databases were searched for intervention studies that assessed health outcomes by providing Ca in diets or as supplements. The framework of the systematic review comprised conducting literature searches, data extraction, quality assessment of the literature, and summarizing key findings relevant to set the Estimated Average Requirement (EAR) and Tolerable Upper Intake Level (UL) for Ca for the 2020 KDRI. The final search was performed in June 2019. A total of 13,309 studies were identified through databases and manual search. Sixtyfive studies were included in the final quality assessment and were summarized according to health indicators. As bone health was used as an indicator of the EAR for Ca, literature reports on bone health were further categorized by the life-cycle stage of the participants. This systematic review did not find new evidence that could be applied to the general Korean adult population, including postmenopausal women, for defining a new EAR for Ca in the 2020 KDRIs. Evidence in most of the reviewed literature was considered weak; however, some evidence was found that could improve the criteria on how the EAR for Ca was determined in children and adolescents. A review of the literature for the 2020 KDRIs for Ca did not find strong evidence in order to change the recommended values of the 2015 KDRIs. More clinical interventions are required among Koreans to strengthen the body of evidence to warrant the revision of the KDRIs.

Quality assessment for inspection images of power lines based on spatial and sharpness evaluation

Digital imaging and image-processing techniques have revolutionized the way of power line inspection in recent years. Massive images are captured and utilized for further processing to maintain the reliability, safety, and sustainability of power transmission. For power line inspection, the component region in the delivered images is required to be centered, large, and clear enough. In this paper, a component-oriented image quality assessment method is proposed to automatically predict image quality according to the demand of power line inspection. The proposed method considers two factors: spatial characteristic evaluation and sharpness evaluation. The spatial characteristic evaluation utilizes YOLOv3 to evaluate whether the component region is sufficiently centered and large, which enables the observer to quickly find the target. The sharpness evaluation employs ResNet to evaluate the clarity of component and makes the condition monitoring more accurately. For final quality assessment, a multi-stage filtering strategy is presented to aggregate these two factors and obtain high quality inspection images. The experimental results indicate that the high-quality images can be accurately identified to satisfy the requirements of power line inspection. The proposed quality assessment method enhances the efficiency for further data analysis of aerial images.

Choice of architecture for heterogeneous information resources integration systems in natural-technical objects complex modeling

The paper presents a methodology of an architecture type multi-criteria choice for a system of integrating heterogeneous data required for complex modeling of natural-technical objects. Suggested methodology is based on using linguistic scales for architectures quality particular indicators, as well as methods of decisions verbal analysis and the experiment planning theory for processing results of peer review in the final architectures quality assessment.

Substrate type selection in diatom based lake water quality assessment

Various studies report contrasting results on the substrate-type effect on diatom community composition, but the particularly important question is whether or not it affects diatom-based assessments of water quality. We investigated whether the substrate type is a significant predictor of the diatom community composition and if it affects lake water quality assessment based on diatom indices. This study took place in Sava Lake (Serbia). We used glass, ceramic, willow and yew tree tiles as artificial substrates for periphyton development, and pebbles from the lake littoral as natural substrate. Results revealed differences in both the diatom community composition and diatom indices values related to the substrates. A distinction was recognized between natural, artificial wooden, and artificial inert substrates. However, the final lake quality assessment based on diatom indices was more or less similar in all substrate types in our study, and depended on value ranges associated with water quality classification and on diatom index choices. Artificial substrates in our study did show potential as an alternative for natural substrate, but further studies are required, particularly in various types of lentic ecosystems to confirm our findings and support artificial substrate employment in lake water quality assessment.

Micromegas chambers for the ATLAS New Small Wheel upgrade

The ATLAS collaboration at LHC has chosen the resistive Micromegas technology, along with the small-strip Thin Gap Chambers (sTGC), for the high luminosity upgrade of the first muon station in the high-rapidity region, the so called New Small Wheel (NSW) project. After the R&D, design and prototyping phase, the series production Micromegas quadruplets are being constructed at the involved construction sites in France, Germany, Italy, Russia and Greece. At CERN, the final validation and the integration of the modules in Sectors are in progress. The installation of the first NSW, the NSW-A is foreseen for the LHC long shutdown in 2020. The construction of the four types of large size quadruplets, all having trapezoidal shapes with surface areas between 2 and 3 m2, will be reviewed. The achievement of the requirements for these detectors revealed to be even more challenging than expected, when scaling from the small prototypes to the large dimensions. The encountered problems will be described, to a large extent common to other micro-pattern gaseous detectors, along with the adopted solutions. Final quality assessment and validation results on the achieved mechanical precision, on the High-Voltage stability during operation with and without irradiation will be reviewed together with the most relevant steps and results of the modules integration into sectors.

Towards an integrated perinatal care pathway for vulnerable women: The development and validation of quality indicators

ObjectiveDevelopment and validation of a set of quality indicators for vulnerable women during the perinatal period. DesignA three-phase method was used. Phase 1 consisted of a literature review to identify publications for the development of care domains and potential QIs, as well as a quality assessment by the research team. In phase 2 an expert panel assessed the set of concept QIs in a modified three-round Delphi survey. Finally, semi-structured interviews with vulnerable women were conducted as a final quality assessment of a set of indicators (phase 3). Ethical approval was obtained from the ethics committee of the University Hospital Brussels and from the Ethics Committees of all the participating hospitals. SettingThe Flemish Region and the Brussels Capital Region in Belgium. ParticipantsHealthcare and social care professionals (n = 40) with expertise in the field of perinatal care provision for vulnerable families. Vulnerable women (n = 11) who gave birth in one of the participating hospitals. FindingsThe literature review resulted in a set of 49 potential quality indicators in five care domains: access to healthcare, assessment and screening, informal support, formal support and continuity of care. After assessment by the expert panel and vulnerable women, a final set of 21 quality indicators in five care domains was identified. First of all, organisation of care must involve an integrated multidisciplinary approach taking account of financial, administrative and social barriers (care domain 1: access to healthcare). Second, qualitative care includes the timely initiation of care, a general screening of the various aspects of vulnerability (biological, psychological, social and cognitive) and a risk assessment for all women (care domain 2: assessment and screening). Vulnerable women benefit from intensive formal and informal support taking account of individual needs and strengths (care domain 3: formal support; care domain 4: informal support). Finally, continuity of care needs to be guaranteed in line with vulnerable woman's individual needs (care domain 5: continuity of care). Key conclusions and implications for practiceImplementing quality indicators in existing and new care pathways offers an evidence-based approach facilitating an integrated view promoting a healthy start for woman and child. These quality indicators can assist healthcare providers, organisations and governmental agencies to improve the quality of perinatal care for vulnerable women.

The Micromegas chambers for the ATLAS New Small Wheel upgrade

The ATLAS collaboration at the LHC has chosen the resistive Micromegas (MM) technology, along with the small-strip Thin Gap Chambers (sTGC), for the high luminosity upgrade of the first muon station in the high-rapidity region, the so called New Small Wheel (NSW) project. After the R&D, design and prototyping phase, the first series production Micromegas quadruplets are being constructed at the involved construction sites in France, Germany, Italy, Russia and Greece. At CERN, the final validation and the integration of the modules in Sectors are in progress. These are big steps forward for the installation of the NSW foreseen for the LHC long shutdown in 2019 and 2020. The construction of the four types of large size quadruplets, all having trapezoidal shapes with surface areas between 2 and 3 m2, will be reviewed. Achieving the requirements for these detectors has proven to be even more challenging than expected, when scaling from the small prototypes to large dimensions. We will describe the encountered problems, to a large extent common to other micro-pattern gaseous detectors, and the adopted solutions. Final quality assessment of the High-Voltage stability of the modules, with and without irradiation, will be presented together with the most relevant steps and results.