Tool For Evaluation Of Quality Research Articles

Fuzzy Testing Model Built on Confidence Interval of Process Capability Index CPMK

A variety of process capability indices are applied to the quantitative measurement of the potential and performance of processes in manufacturing. As it is easy to understand the formulae of these indices, this method is easy to apply. Furthermore, a process capability index is frequently utilized by a manufacturer to gauge the quality of a process. This index can be utilized by not only an internal process engineer to assess the quality of the process but also as a communication tool for an external sales department. When the manufacturing process deviates from the target value T, the process capability index CPMK can be quickly detected, which is conducive to the promotion of smart manufacturing. Therefore, this study applied the index CPMK as an evaluation tool for process quality. As noted by some studies, process capability indices have unknown parameters and therefore must be estimated from sample data. Additionally, numerous studies have addressed that it is essential for companies to establish a rapid response mechanism, as they wish to make decisions quickly when using a small sample size. Considering the small sample size, this study proposed a 100 (1 − α)% confidence interval for the process capability index CPMK based on suggestions from previous studies. Subsequently, this study built a fuzzy testing model on the 100 (1 − α)% confidence interval for the process capability index CPMK. This fuzzy testing model can help enterprises make decisions rapidly with a small sample size, meeting their expectation of having a rapid response mechanism.

The rise in popularity of central bank digital currencies. A systematic review

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central bank digital currencies and the evolving landscape of CBDCs, and explores emerging areas of research and trends by using the PRISMA method and VOSviewer, with the goal of showing the main opportunities and challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, and SRDR were the screening and quality evaluation tools employed for study eligibility criteria, design screening and content selection, text analysis data extraction, methodological quality predictors, and reliable and reproducible evidence assessment. A total of 1024 articles on central bank digital currencies were identified in Scopus and the Web of Science, out of which 747 have been included in the review (documents which were not in English language and not categorized as journal articles were excluded). Through an analysis of the relevant literature, the study categorizes CBDC research into positive, negative and neutral research, with a particular focus on sustainability issues, and conducts a keyword co-occurrence analysis using VOSviewer, following a narrowing down of the relevant articles to be included in the study by applying the PRISMA framework. This generates an overall view for experts and researchers who can use the main analyzed features of CBDCs and adapt them accordingly, taking into account relevant macroeconomic characteristics. The study highlights the need to continue interdisciplinary research, by adapting the research and CBDC characteristics to keep up with the latest technologies and with the shift towards green finance, and explores the elaborate relationship between finance, technology and sustainability.

Chemical fingerprinting and multicomponent quantitative analysis for quality control of Cinnamomum tamala collected from Western Himalaya by HPLC-DAD

Cinnamomum tamala, commonly known as “Indian bay leaf” or “Tejpat”, is an economically important plant widely used in medicine, food and cosmetic industries. Growing demand for its leaf and bark in the herbal trade and non-availability of quality materials lead to large-scale species admixture and adulteration in the global market. The present study aims at developing a validated HPLC-DAD (High-performance liquid chromatography coupled with diode array detection) method and multiple markers-based chemical fingerprints for quality evaluation of C. tamala leaf extracts. Five bioactive compounds, viz., coumarin, cinnamyl alcohol, cinnamic acid, cinnamaldehyde and cinnamyl acetate, were identified and quantified in 28 samples collected from the western Himalayan region of India. The chromatographic separation was achieved on Shimadzu Shimpak C18 column (dimension 250 × 4.6 mm, pore size 5 μm) with a gradient elution of mobile phase using acetonitrile and 0.1 percent phosphate buffer and the chromatograms were obtained at a wavelength of 265 nm. The method validation was done by analyzing the linearity, LOD, LOQ, precision, stability, repeatability and recovery rates of standard compounds for quantitative analysis. The values of coefficient of correlation (R2) were found to be close to 1 for linearity and similarity analysis; and standard deviation was less than 3 percent in case of precision, stability, repeatability and recovery rates. The content of target compounds such as coumarin, cinnamyl alcohol, cinnamic acid, cinnamaldehyde and cinnamyl acetate varied in the range of 0–1.09, 0–0.05, 0.07–0.51, 0.39–1.27 and 0–0.27 percent, respectively. In the chemical fingerprint of C. tamala leaves, a total of 13 peaks were assigned as common peaks. The results of the study indicated that the HPLC method now developed combining chemical fingerprint with quantification of analytes could serve as a useful tool for quality evaluation of herbal raw materials of C. tamala and a valuable reference for further study.

MORTALITY AND ASSOCIATED FACTORS AMONG INTENSIVE CARE UNIT ADMITTED ADULT PATIENTS WITH MECHANICAL VENTILATION IN ETHIOPIA: A SYSTEMATIC REVIEW AND META-ANALYSIS.

Introduction: The global demand for intensive care has risen, given its effectiveness in lowering mortality rates. Mechanical ventilation (MV) is integral to intensive care but introduces risks such as ventilator-associated complications. Ethiopia experiences a high intensive care unit (ICU) mortality rate. Objective: This systematic review and meta-analysis aim to comprehensively synthesize evidence on the mortality of adults undergoing MV in Ethiopia and identify associated factors. Methods: The study extensively searched databases and gray literature for research on MV outcomes, trends, and associated factors in adult ICUs. Adhering to the 2020 PRISMA checklist, a systematic review and meta-analysis sought to establish the mortality rate and key determinants among adult ICU patients on MV. The search incorporated keywords and MeSH terms, excluding studies with unsound methodologies or missing data. Data extraction, quality assessment, and analysis followed established protocols, including the JBI tool for methodological quality evaluation. STATA version 17.0 facilitated analysis, assessing heterogeneity, publication bias, and performing sensitivity and meta-regression analyses. Results: The pooled mortality rate among adult ICU patients undergoing MV was 48.61% (95% CI: 40.82, 56.40%). Significant mortality-contributing factors included medical diagnosis, Glasgow Coma Scale score, sepsis/septic shock, sedation use, multiple-organ dysfunction syndrome, and cardiovascular disease. Although some pooled odds ratios seemed insignificant, closer examination revealed significant associations in individual studies. Conclusion : The study underscores the urgent need for further research, improved ICU infrastructure, and healthcare personnel training in Ethiopia to enhance outcomes for mechanically ventilated patients. Identified factors offer valuable insights for targeted interventions, guiding tailored treatment strategies to reduce mortality. This study contributes to understanding mortality and associated factors in MV patients, informing initiatives to improve critical care outcomes in Ethiopia.

Development of a blended teaching quality evaluation scale (BTQES) for undergraduate nursing based on the Context, Input, Process and Product (CIPP) evaluation model: A cross-sectional survey

ObjectiveDeveloping a nursing undergraduate blended teaching quality evaluation tool based on the Context, Input, Process and Product model and evaluating its reliability and validity. BackgroundBlended teaching is a commonly used teaching method in medical education, but there are limited tools available to effectively measure the quality of blended teaching. DesignA Delphi study and cross-sectional study. MethodsUsing the Context, Input, Process and Product model as the theoretical framework, a questionnaire was developed through literature review, expert consultation and pre-survey. From April to July 2023, 448 students from a certain university were selected as the research subjects and the questionnaire was examined for reliability and validity through a survey method. ResultsThe blended teaching quality evaluation scale with 35 items includes four dimensions Context, Input, Process and Product. The content validity and reliability of the blended teaching quality evaluation scale are both good, with a content validity index of 0.934 for the total scale and a content validity index of 0.750–1.00 for each item. The SEM shows that χ2/df = 6.89, RMSEA = 0.115, CFI = 0.882, NFI=0.865, RFI= 0.855, IFI = 0.882, TLI = 0.873. The Cronbach’s α coefficient of the total scale is 0.991 and the Cronbach’s α coefficient for each dimension is 0.944–0.984. ConclusionThe scale is based on the characteristics of blended learning and quality evaluation covers all aspects of teaching. It can accurately evaluate the quality of teaching, evaluate the problems in the teaching process based on the teaching quality score and propose reasonable teaching improvement suggestions based on the weak links in the teaching process.

Abstract 2344: Federated image quality assessment of prostate MRI scans in a multi-institutional setting

Abstract Introduction: Reliability of machine and deep learning models on medical images can be compromised by the presence of image artifacts of variability in image acquisition. This is further exacerbated when validating model performance across multiple institutions, where multiple acquisition protocols and scanner equipment may result in significant numbers of outlier scans. We developed a privacy-preserving outlier identification algorithm via federated MR imaging quality evaluation of a distributed multi-institutional cohort of prostate MRI scans. Methods: This retrospective study utilized T2-weighted prostate MRI scans from 1 public collection (used as a template) and 3 federated institutions. An open-source MR image quality evaluation tool (MRQy) was implemented via Docker within the RhinoHealth Federated Computing Platform (FCP). This enabled remote extraction of 9 specific metadata values and remote computation of 15 quality measurements from each scan, while ensuring confidentiality of patient data by avoiding direct access to patient images and information. Centralized analysis of extracted image quality attributes utilized a rule-based classifier to determine whether individual metadata or measurement values for a given MRI scan fell within or outside predefined bounds: (i) ±20% of template metadata values, (ii) 5th - 95th percentile range of template measurement values. Scans were considered outliers if more than 60% of their image quality attributes fell outside predefined bounds. Results: In total, 630 MRI scans from 3 institutions were analyzed in a federated manner. 344 MRI scans from 1 public collection formed a benchmark cohort to calibrate the rule-based classifier and determine predefined bounds for outlier detection. Centralized analysis of federated image quality attributes showed marked differences in the number of outliers per institution (3%, 19%, 79% for Institutions 1, 2, 3, respectively). Further analysis of Institution 3 determined significant intensity and resolution differences compared to other institutions, requiring extensive post-processing prior to downstream analysis. Conclusion: Federated image quality assessment can allow for distributed, privacy preserving analysis of outliers and thus curate multi-institutional cohorts of consistent quality for downstream machine learning tasks. Further analysis of the impact of quality-based curation on federated machine learning applications is currently underway. Citation Format: Mohsen Hariri, Prathyush Chirra, Malhar Patel, Tal Tiano Einat, Ittai Dayan, Alex Tonetti, Yuval Baror, Tristan Barrett, Nikita Sushentsev, Joshua D. Kaggie, Shuaiyu Yuan, Dufan Wu, Baihui Yu, Zhiliang Lyu, Cheyu Hsu, Weichung Wang, Smitha Krishnamurthi, Satish E. Viswanath. Federated image quality assessment of prostate MRI scans in a multi-institutional setting [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2344.

The role of physiotherapy interventions in the management of temporomandibular joint ankylosis: a systematic review and meta-analysis

BackgroundThe main aim of this systematic review and meta-analysis was to identify peer-reviewed scholarly journal articles reporting the significance of physiotherapy interventions in managing TMJ ankylosis. In addition, this study aimed to critically appraise the existing evidence on the prevalence and clinical presentation, physiotherapy intervention approaches, efficacy of physiotherapy interventions, adverse effects, and safety of physiotherapy interventions in TMJ ankylosis management.MethodsAn all-inclusive literature search was conducted using the PubMed, Google Scholar, and Scopus electronic databases. The researchers screened the potential articles and assessed for eligibility based on the reported inclusion and exclusion criteria. The quality evaluation tool for observational cohort and cross-sectional studies developed by the National Institutes of Health (NIH) and the Cochrane Collaboration's Risk of Bias Tool were used to assess the quality of the included studies. Researchers also comprehensively analyzed the data, reported the results, and discussed them according to the predominant themes.ResultsThe primary electronic database search yielded 409 articles, of which 25 were included in this review. A secondary search was conducted from citations of the included studies, yielding 74 articles, of which six were included in the study. A significantly higher prevalence of bony ankylosis than fibrous ankylosis, with an overall effect size of p < 0.00001. In addition, there were significantly more unilateral than bilateral presentations with an overall effect size of p < 0.00001. Moreover, there were 78 reported complications out of 245 subjects according to five included studies demonstrating a significant effect size with p = 0.001 following the treatment protocols.ConclusionThis study highlighted the prevalence of bony ankylosis in temporomandibular joint ankylosis, emphasizing its impact on patients' well-being. On the other hand, the results show that physiotherapy is essential to optimize postoperative outcomes and minimize adverse events such as re-ankylosis. Practitioners and healthcare professionals must monitor postoperative recovery and ensure strict adherence to physiotherapy protocols for optimal outcomes.

Analisis Butir Soal Penilaian Akhir Tahun Pelajaran Bahasa Arab Kelas VII MTs Al-Ma’arif Rakit Banjarnegara Jawa Tengah

Analysis of question items is very important in learning evaluation because it determines the quality of the evaluation tool used. The aim of this research is to analyze the results of the final semester Arabic evaluation at the Al-Ma’arif Junior High School. The researchers conducted a series of tests consisting of measurements of validity, reliability, differential strength, difficulty level, and debilitating power. The method used in this research is quantitative descriptive method. The population of the study was 25 students of the 7th grade in the IT High School Building Amal School Year 2022/2023. As for the sample used, the final evaluation of the Arabic semester of the teaching year 2022/2023 was documentation and observation. The result of this study is; in the validity test found 30% of questions can be said to be valid. Then the remaining 70% is declared invalid because it has a significance value &lt;0,05 and the value of R count is smaller than R Table. Then in the reliability test found using Cronbach's Alpha method, and the element of this question is worth 0.625 with the number of questions (N of items) amounting to 40. Difference shows 6 questions in the category "Bad once in distinction, 25 questions in category "badly once in differentiation", 6 issues in the categories "Sufficient enough in distinguishment", 3 questions with category "Good once in distinctness" whereas with the question of category "good once in discrimination" was not found. Difficulty level there are 25 questions with very easy questions category, 14 questions with easy categories, 1 questions with difficult categories. The fractional strength of the answer option A indicates that the question is not working well with the student as the data indicates more fractionals of the question are rejected than accepted. The same applies to options B, C, and D. Thus, a question that does not meet the revised criteria can be concluded or a new question created and tested again. This research can be used as evaluation material for teachers to create quality evaluation tools. Further research can focus on discussing the development of superior evaluation instruments.

Experiences regarding Home Care for Older Adults from the Viewpoint of Family, Paid Caregivers, Nurses, and Experts: A Qualitative Study

Home care (HC) is recommended for older adults who want to live at home as long as possible despite life-limiting conditions. It is more convenient and cost-effective than institutionalization and hospitalization. However, HC for older adults in Iran faces many challenges. The purpose of this study was to explore the perspectives of different stakeholders involved in HC for older adults about their experiences and suggestions for HC improvement. This qualitative study was conducted based on the explorative content analysis approach between 2021 and 2022 in Tabriz, Iran. The participants were selected using the purposeful sampling method, and the data were collected through in-depth semistructured personal interviews. A total of 27 individuals who participated in individual interviews were family members, HC workers (including nurses and unqualified paid caregivers), heads of counseling and nursing care at home centers, and experts who had clinical or research experience in the field of geriatric care. Collected data were categorized into three main themes: defects in home care governance, concern about the efficiency of home care, and caregivers’ job security concerns. These themes reflected the problems of HC, such as conflicts between multiple trustees, lack of evaluation and monitoring, inadequate competence and financial barriers of families and caregivers, and poor integration and coordination of services. Therefore, it is recommended to develop a national model for HC for Iranian older adults and allocation of different financial resources for HC, implementing quality improvement and evaluation tools, enhancing the training of caregivers, providing them with adequate compensation and benefits, and ensuring the safety and quality of services. These findings can inform the policymakers and planners of care services about the needs and challenges of this population and facilitate the collaboration among different stakeholders to provide better HC for older adults.

Applying Librarian-Created Evaluation Tools to Determine Quality and Credibility of Open Access Library Science Journals

abstract: This article explores the application of journal quality and credibility evaluation tools to library science publications. The researchers investigate quality and credibility attributes of forty-eight peer-reviewed library science journals with open access components using two evaluative tools developed and published by librarians. The results identify common positive and negative attributes of library science journals, compare the results of the two evaluation tools, and discuss their ease of use and limitations. Overall, the results show that while library science journals do not fall prey to the same concerning characteristics that librarians use to caution other researchers, there are several areas in which publishers can improve the quality and credibility of their journals.

Solvent retention capacity as a useful tool for quality evaluation of flours produced from Slovak bred wheat varieties

Abstract Wheat varieties (IS Danubius and MS Luneta) bred in Slovakia were assessed for their bakery potential. It was found that flour produced from IS Danubius was characterised by significantly higher level of wet and dry gluten content (30.91 and 20.53 %, respectively) and exhibited higher gluten swelling capacity (29.3 %) in comparison to commercial wheat flour that is usually available in Slovak markets. Solvent retention capacity (solvation in specific solvents) of the tested flours was also determined. The measurements showed that these parameters significantly differ from those determined for commercially available flour, whereas the flour produced from IS Danubius wheat variety had the highest lactic acid retention capacity (124.15 %). Correlation analysis indicated strong positive correlations between solvent retention capacity values and gluten characteristics. Furthermore, it was found that baked rolls prepared from IS Danubius flour showed significantly higher loaf volume compared to commercial wheat flour. This study proves lactic acid retention capacity and sucrose retention capacity as parameters enabling the prediction of gluten network quality in dough and of qualitative parameters of baked goods. From the sensory evaluation resulted that the highest score for overall acceptance was observed in IS Danubius baked rolls, which significantly differs from both MS Luneta and commercial wheat flour.

Midwives' experience of respectful maternity care (RMC) globally: A meta-synthesis.

Respectful maternity care (RMC) emphasizes the social and relational elements of maternity care and is a crucial part of initiatives to improve service accessibility and quality. Women's perceptions have influenced much of what we know about RMC and contempt in the labor ward. In order to understand midwives' perspectives of RMC, this meta-synthesis focused on them. For this inquiry, the databases PubMed/Medline, Embase, Web of Science, and Scopus were searched to find studies on midwives' perceptions of RMC written between 2011 and April 20th 2023. The included articles were to English language restriction. The results of the included research were examined using thematic analysis. Using the inclusion criteria, 84 potentially relevant articles were carefully reviewed, and only 22 were ultimately selected for synthesis. The quality of the qualitative study was assessed using the CASP, a tool for quality evaluation and PRISMA guidelines were followed. Using the MAXQDA program, the cited quotes and the original authors' interpretations were combined. There were 22 studies total, thematic synthesis was determined to be appropriate for a total of 22 research studies. Following are the topics which we summarized our analysis: in six major themes: Midwives' conceptualizations of RMC, Midwives commitment to woman's rights, The value and impact of RMC to midwives, Midwife's perception of disrespectful care, Challenges in providing respectful maternity care, and Midwives' recommendations for optimal RMC practice. In addition to specific focus on promoting cooperation, policies to enhance health systems and strategic consideration of the midwifery profession's future are required.

Social robotics for children: an investigation of manufacturers' claims.

As the market for commercial children's social robots grows, manufacturers' claims around the functionality and outcomes of their products have the potential to impact consumer purchasing decisions. In this work, we qualitatively and quantitatively assess the content and scientific support for claims about social robots for children made on manufacturers' websites. A sample of 21 robot websites was obtained using location-independent keyword searches on Google, Yahoo, and Bing from April to July 2021. All claims made on manufacturers' websites about robot functionality and outcomes (n = 653 statements) were subjected to content analysis, and the quality of evidence for these claims was evaluated using a validated quality evaluation tool. Social robot manufacturers made clear claims about the impact of their products in the areas of interaction, education, emotion, and adaptivity. Claims tended to focus on the child rather than the parent or other users. Robots were primarily described in the context of interactive, educational, and emotional uses, rather than being for health, safety, or security. The quality of the information used to support these claims was highly variable and at times potentially misleading. Many websites used language implying that robots had interior thoughts and experiences; for example, that they would love the child. This study provides insight into the content and quality of parent-facing manufacturer claims regarding commercial social robots for children.

Four kinds of traditional Chinese exercise therapy in the treatment of type 2 diabetes: a systematic review and network meta-analysis

ObjectiveTo perform an evidence-based evaluation of the clinical efficacy of Taijiquan, Baduanjin, Yijinjing and Wuqinxi in interventions for type 2 diabetes.DesignA systematic review and network meta-analysis.MethodsThe comprehensive search included Chinese and other language databases such as the MEDLINE (PubMed), Web of Science, Excerpta Medica Database (Embase), The Cochrane Library, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, China Scientific Journal Database, VIP and China Biomedical Literature Database (CBM). Clinical randomized controlled trials of four traditional Chinese exercise therapies in the treatment of type 2 diabetes, including Taijiquan, Baduanjin, Yijinjing and Wuqinxi, were retrieved. The search time was conducted from the establishment of the database to 30 October 2022. Two researchers screened the documents that met the inclusion criteria, extracted data according to the preset table and evaluated the methodological quality of the included studies according to the quality evaluation tools recommended by the Cochrane System Reviewer Manual V.5.1. The R language, Stata and ADDIS statistical software programs were used to conduct statistics and analysis of intervention measures.ResultsA total of 33 randomized controlled trials with 2609 patients were identified. All patients were from China. The results of the network meta-analysis showed that Taijiquan ranked the best for improving HbA1c, 2-h postprandial blood glucose (2hPG), low-density lipoprotein cholesterol (LDL-C) and insulin sensitivity index indicator levels; Yijinjing reduced fasting plasma glucose (FPG) and total cholesterol (TC) indicator levels for the best probability ranking; Baduanjin improved the triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) probability ranking the most. When the training period was less than 12 weeks, Baduanjin had better effects in improving 2hPG, TC, TG, HDL-C and LDL-C indicator levels. Taijiquan had better effects in reducing FPG levels. When the training period was 12 weeks, the effect of Yijinjing in improving FPG, HbAlc, TC and HDL-C levels was better than that in other traditional Chinese exercise, and Taijiquan had better effects in improving 2hPG, TG and LDL-C indicator levels. When the training period was longer than 12 weeks, Taijiquan had better effects in improving FPG, HbAlc, 2hPG and LDL-C indicator levels, and Baduanjin had better effects in improving TC, TG and HDL-C indicator levels.ConclusionThe four traditional Chinese exercise therapies can improve blood glucose levels, blood lipid levels and insulin-related indicators of type 2 diabetes to varying degrees. Studies have shown that Taijiquan has a better targeted treatment effect on type 2 diabetes.Systematic review registrationCRD42020214786.Protocol publishedWe published the protocol article “Network meta-analysis of four kinds of traditional Chinese exercise therapy in the treatment of type 2 diabetes: Protocol for a systematic review” in the BMJ Open magazine 2021, Issue 11, Volume 7.

Re-evaluation for systematic reviews of traditional Chinese medicine in the treatment of chronic bronchitis.

Chronic bronchitis (CB) is a common clinical chronic respiratory disease, which has a high incidence in the middle aged and elderly population. With the development of the disease, the number of acute attacks becomes more and more frequent, which leads to the continuous decrease of lung function. If not treated in time, it will lead to a variety of complications and seriously affect the quality of life of patients. Traditional Chinese medicine (TCM) or TCM combined with western medicine is highly effective in the treatment of CB disease. In recent years, there are many systematic reviews on the use of TCM therapy in the treatment of CB, and the efficacy and safety of TCM in the treatment of CB diseases are evaluated. The aim of this study was to re-evaluate the Meta analysis/Systematic reviews (MAs/SRs) of TCM for the treatment of CB, aiming to provide a clinical basis for the treatment of CB by TCM. Retrieval among Chinese and English databases such as China National Knowledge Infrastructure, Wanfang database, China Scientific Journals Database, SinoMed, PubMed, Web of Science, The Cochrane Library and EMbase, etc. were conducted within the duration from database establish Tion date to March 2023.The included research was independently conducted by 2 researchers for literature screening, data extraction, and quality evaluation. The AMSTAR 2 scale was used to evaluate the quality of the report, the PRISMA 2020 statement evaluated the quality of the report, the ROBIS tool evaluated the risk of bias, and the GRADE quality evaluation tool evaluated the quality of the evidence. Fifteen MAs/SRs were included, for a total of 224 studies involving 20,710 patients with CB. The 15 studies included in AMSTAR 2 are of very low quality. The ROBIS evaluation results showed that 8 MAs/SRs were considered to have high risk and 7 with low risk. The PRISMA 2020 report quality showed evaluation results of the included studies scores between 24 and 30, among them 13 with high quality and 2 with low quality. The GRADE system results showed that, within 70 outcome indicators, only 14 of them have moderate quality for evidence, with 31 for low quality, 25 for very low quality, and none for high quality. The MAs/SRs methodological quality of using TCM for treatment CB is generally poor, the quality of reports as well as evidence are generally low, and the risk of bias is high, therefore we should treat these results with caution.

An uncertainty-based quality evaluation tool for nanoindentation systems

Instrumented Indentation Test (IIT) is a nonconventional mechanical tests allowing multi-scale mechanical characterisation. It is employed for research and quality control in strategic manufacturing fields for developing edge technologies. The state-of-the-art lacks a robust methodology to assess quality of indentations and benchmark indentation devices. This is limiting the application of IIT for specifying and verifying tolerances. This work proposes an uncertainty-based quality evaluation tool for IIT. A non-parametric uncertainty evaluation of calibration contribution is proposed. The method shows the statistical significance of indentation sets modelled by the bootstrap samples. The uncertainty is then propagated according to the law of uncertainty propagation for the evaluation of mechanical characteristics. The methodology is applied to five case studies. Results show that the uncertainty evaluation model can achieve robust and sensitive quantification of the indentation results and system quality, thus providing a useful practical tool for industrial and academic practitioners within a metrological framework.

A comprehensive MAGDM-based approach using EDAS and CRITIC as an auxiliary tool for quality evaluation of ceramic product modeling design

Ceramic art has a long history of development in China and is an important component of the inheritance and development of traditional culture. The highly distinctive ceramic art expression content has been sought after by many international research enthusiasts and applied to product design, highlighting different social backgrounds and special cultural connotations of different eras, while also laying an important theoretical foundation for the inheritance and development of culture. The quality evaluation of ceramic product modeling design could be deemed as a classic multiple attribute group decision making (MAGDM) problem. Recently, the EDAS and CRITIC method has been used to cope with MAGDM issues. Spherical fuzzy sets (SFSs) can excavate the uncertainty and fuzziness in MAGDM more effectively and deeply. In this article, on basis of evaluation based on distance from average solution (EDAS), a novel spherical fuzzy number EDAS (SFN-EDAS) method based on Hamming distance and Euclid distance is built for dealing with MAGDM. Moreover, when the attribute weights are completely unknown, the CRITIC method is extended to SFSs to acquire the attribute weights. Finally, SFN-EDAS method is used for quality evaluation of ceramic product modeling design to prove practicability of the developed method and compare SFN-EDAS method with existing methods to further demonstrate its superiority.

Implementation of Discrepancy Evaluation Application Based on TOPSIS-TTA

One of the developments in the field of educational evaluation utilized as an evaluation tool to identify the key elements that drive the success of blended learning is the TOPSIS-TTA-based Discrepancy evaluation application. This evaluation application combines the TTA (Tat Twam Asi) concept, the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, and the Discrepancy evaluation model concept. The purpose of this study is to demonstrate the implementation outcomes of the TOPSIS-TTA-based Discrepancy evaluation application at IT vocational schools in Bali, as well as the results of usage trials, final product revisions, and its dissemination. The research method used focused on the usage trial stage, final product revisions stage, dissemination stage, and implementation stage. The usage trials comprised 39 respondents, while the application test involved 150 participants. For the final product revisions, three research team members were engaged, along with 150 respondents during the dissemination activity. The assessment instruments employed during the trial usage and application testing were questionnaires. Bali’s IT vocational schools served as the study’s location. The study’s data analysis method was descriptive quantitative by converting the results of the application effectiveness percentage which has been compared with the standard effectiveness scale of eleven. The findings of this investigation suggest the effectiveness level of evaluation application including the advanced category, so that in general the evaluation application is ready to be implemented on a wide scale in the field. The significance of this study in the field of educational evaluation lies in its ability to simplify the process for evaluators in choosing high quality evaluation tools, relying on dependable trials of application implementation and usage.

Rapid determination of rice protein content using near-infrared spectroscopy coupled with feature wavelength selection

Protein content is a key indicator for rice nutritional value, and its accurate determination has become a necessary tool for rice quality evaluation and breeding. To solve the shortcomings of slow and costly testing by traditional methods, a rapid detection model of rice protein content was constructed based on near-infrared spectroscopy coupled with feature wavelength selection. The backward interval partial least squares (BiPLS) was combined with the genetic simulated annealing algorithm (GSA) and the simulated annealing binary particle swarm optimization algorithm (SABPSO), respectively, to construct BiPLS-GSA and BiPLS-SABPSO for selecting protein feature wavelengths, thereby establishing a corresponding partial least squares quantitative calibration model. Among them, the regression model established using feature wavelengths selected by BiPLS-SABPSO had the best performance. The determination coefficient of the model for the validation set and the independent test set were 0.949 and 0.956, the root mean square error were 0.174% and 0.214%, the relative root mean square error were 2.621% and 3.118%, and the residual predictive deviation being 4.235 and 4.500, respectively, which could meet the requirement for rapid and accurate determination of rice protein content. The combination of BiPLS-SABPSO and near-infrared spectroscopy has developed into a new method to achieve fast and reliable determination of rice protein content, providing an alternative strategy for rapid qualitative detection of related agricultural products.

Harnessing the benefits of the Nutrition Care Process Quality Evaluation and Standardization Tool: a national auditing initiative to improve quality of documentation.

The Nutrition Care Process Quality Standardization and Evaluation Tool (NCP QUEST) is a validated audit instrument assessing the quality of NCP documentation by Registered Dietitians Nutritionists (RDNs). The present quality improvement project describes change in documentation quality as measured by NCP QUEST and word count of notes after a monthly national digital training provided to Veteran Affairs (VA) RDNs. The training and adoption of NCP QUEST was voluntary. Facilities were recruited among those that had participated during the design and validation study of NCP QUEST. The NCP QUEST score was calculated and the word count was determined for 52 documentation notes (28 from NCP QUEST non-user facilities and 24 from NCP QUEST user facilities) before and after training. The mean pre-training NCP QUEST score for notes from NCP QUEST non-user facilities was 13.71 and 13.88 for NCP QUEST user facilities. The mean post training total NCP QUEST score for non-user facilities was 14.00 and 17.65 for user facilities, with no improvement for the non-user facilities (P=0.69). A significant improvement was identified for the NCP QUEST user facilities (P≤0.001). All facilities experienced a significant reduction in the word count of assessment notes (P=0.04). Use of the electronic NCP terminology website increased 123-fold and was sustained after the training. NCP QUEST users reported that the audit tool is useful. The NCP QUEST should be at the center of RDNs' training and more strategic effort is needed to engage practitioners in the optimal application of the NCP.