Current Issue : October-December Volume : 2026 Issue Number : 4 Articles : 5 Articles
Elevated neutral-to-earth voltage or simply known as Neutral-To-Earth Voltage (NTEV), and the related phenomenon called stray voltage is typically caused by fundamental frequency currents returning to the source via the neutral conductor and earth. The nature of grounded power systems results in the fact that the neutral conductors are not always at zero potential with respect to the earth. This study also aims to investigate the effect of Neutral to Earth voltage on power distribution. Using the appropriate measurement equipment, the data logger was attached to Main Switch Boards to record data for 4 days for monitoring, recording, and analyzing frequency, harmonics, and voltage fluctuation. In addition, the data logger for this measurement tool have been installed on the main switchboard (MSB1) in Agensi Nuklear Malaysia. This study performed a comparison of peak time (8 am-5 pm) and non-peak time (6 pm-6 am) and also the correlation between each parameter. Based on the result of standard deviation and mean, all parameters deviate very closely to the mean value. The skewness value provide evidence that the measured data was distributed close to the nominal specification. Through correlation analysis, at the end of this study it was found that the correlation between NTEV and THDV of each phase in the first location has a very high correlation....
Maintaining consistent quality performance of recycled aggregates is essential for their reliable use in construction applications. This study evaluated whether the regulatory revision permitting concurrent appointment of quality and environmental managers affected post-certification quality test performance within Korea’s recycled aggregate certification system. Extending a previous 2025 audit-based study, this research analyzed 311 certification-application-level follow-up quality test results obtained during the 2023 national post-certification management process. Statistical analyses, including chi-square tests, Fisher’s exact tests, odds ratio comparisons, and subgroup analyses, were conducted according to management structure, personnel change status, and recycled aggregate application type. The results showed that concurrent appointment and personnel changes were not associated with statistically significant deterioration in post-certification quality test performance. In contrast, the recycled aggregate application type showed substantially greater influence on pass/fail outcomes, with relatively higher failure risks observed in concrete and fine aggregate applications requiring stricter quality control conditions. Road construction and asphalt concrete applications generally maintained relatively stable pass rates regardless of management structure or personnel continuity conditions. The subgroup analyses additionally showed that concurrent appointment did not significantly increase failure risk within any recycled aggregate application category. These findings indicate that concurrent appointment did not significantly deteriorate actual post-certification quality performance within the analyzed national certification dataset....
The automotive industry depends on high-quality paint coatings for both aesthetic appeal and functional performance. However, surface imperfections such as scratches, paint runs, and orange peel can arise from process and environmental variations. This study employs machine learning (ML) and exploratory data analysis (EDA) to identify key factors that influence surface defect formation in automotive painting. Using historical production data from Lucky Motor Corporation Limited, models based on linear regression, support vector machines (SVM), and random forests were developed and validated under various process conditions. The best-performing model achieved an R² of 0.94, with a mean absolute error (MAE) of 0.125 and mean squared error (MSE) of 0.033, demonstrating high predictive accuracy. The proposed ML framework offers a data-driven approach for quality control and process optimization, with the potential to enhance production efficiency, reduce waste, and improve overall paint surface quality....
Background Esophageal cancer is associated with substantial morbidity and mortality worldwide and is frequently diagnosed at advanced stages, leading patients and their relatives to seek health-related information beyond traditional clinical encounters. In recent years, YouTube has become a popular source of medical information. Nevertheless, questions persist regarding the accuracy, credibility, and overall reliability of the content available on the platform. Methods This cross-sectional study evaluated publicly available YouTube videos related to esophageal cancer. Data were collected on December 3, 2025, using a browser without a user login to minimize algorithm-driven bias. Viewer engagement metrics (views, likes, and comments), source categories, and country of origin were recorded for each video. Content quality and reliability were assessed using the DISCERN instrument, Journal of the American Medical Association (JAMA) benchmark criteria, and Global Quality Score (GQS). Non-parametric statistical analyses were used to compare quality outcomes across source categories and evaluate the correlations between the engagement metrics and quality scores. Results A total of 78 videos met the inclusion criteria, most of which originated in the USA (83.3%). Health-related channels constituted the largest source category (35.9%), followed by patient experience-based videos (23.1%), and private institutions (20.5%). Viewer engagement metrics (views, likes, and comments) did not differ significantly among source types (p > 0.05). In contrast, the content quality varied substantially. Videos produced by public institutions achieved the highest DISCERN, JAMA, and GQS values, whereas patient-experience-based videos demonstrated significantly lower quality and reliability (p < 0.001). Engagement metrics were strongly intercorrelated but showed no association with quality scores. Conclusion YouTube videos related to esophageal cancer frequently exhibit moderate informational quality, and popularity metrics do not reflect content reliability. Source credibility plays a critical role in determining video quality, underscoring the need for greater involvement of healthcare professionals and public institutions in digital health content production....
Corporate sustainability and the reliability of ESG reporting have gained relevance in the evaluation of listed companies, particularly in emerging capital markets, where reporting practices are still in their early stages of development. The purpose of this study is to analyze the relationship between the quality of ESG reporting, the risk of greenwashing estimated using a proxy derived from reported information, and the market value of companies listed on the Bucharest Stock Exchange. The research employs a mixed-methods design, involving content analysis of annual reports, sustainability reports, and sustainability statements for 25 companies over the 2020–2024 period. The scores corresponding to the Environmental, Social, and Governance dimensions, as well as the proxy for greenwashing risk, were developed using an ordinal scoring grid, which was validated through inter-rater assessment. During the course of the study, the empirical relationships were tested using pooled OLS specifications on short panel data, incorporating the natural logarithm of market capitalization, financial controls, year effects, and sector dummy variables. The results highlight the presence of an association between the quality of ESG reporting and market value, particularly for environmental and social dimensions, while the greenwashing risk proxy exhibits a limited statistical influence. The study contributes to the literature on ESG reporting in emerging markets and highlights the need for a cautious interpretation of indicators constructed based on corporate disclosures....
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