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Development of battery monitoring system for power generators: insights and experience
No full textThe increasing dependence on battery monitoring systems (BMS) by power generators highlights the critical role of the former in ensuring continuous power operation and supply in commercial and residential facilities. This paper details the development of a BMS specifically tailored for monitoring Nickel-Cadmium (Ni-Cad) batteries at Jayalax Resources. The system provides near real-time data on essential metrics such as voltage, current, temperature, internal resistance, and state of charge (SOC) for each individual battery cell, all presented through an intuitive online dashboard. Additionally, the BMS features automated email notifications and alerts for critical conditions, including low voltage, high temperature, and significant SOC drops, ensuring timely intervention for remedial actions. The successful deployment of this system across various commercial and residential buildings in the Klang Valley has minimized the need for frequent manual inspections, reduced human error, and generated significant cost savings for Jayalax Resources. Insights gained from this project underscore the importance of robust monitoring solutions in optimizing battery performance and reliability in generator applications
Colorectal cancer among youths a growing concern
No full textBetween 2012 and 2016, colorectal cancer (CRC) was identified as the second-most common cancer in Malaysia, accounting for 13.5% of all new cancer cases
Automated mold defects classification in paintings: a comparison of machine learning and rule-based techniques.
No full textMold defects pose a significant risk to the preservation of valuable fine art paintings, typically arising from fungal growth in humid environments. This paper presents a novel approach for detecting and categorizing mold defects in fine art paintings. The technique leverages a feature extraction method called Derivative Level Thresholding to pinpoint suspicious regions within an image. Subsequently, these regions are classified as mold defects using either morphological filtering or machine learning models such as Classification and Regression Trees (CART) and Linear Discriminant Analysis (LDA). The efficacy of these methods was evaluated using the Mold Features Dataset (MFD) and a separate set of test images. Results indicate that both methods improve the accuracy and precision of mold defect detection compared to no classifier. However, the CART algorithm exhibits superior performance, increasing precision by 32% to 53% while maintaining high accuracy (96%) even with an imbalanced dataset. This innovative method has the potential to transform the approach to managing mold defects in fine art paintings by offering a more precise and efficient means of identification. By enabling early detection of mold defects, this method can play a crucial role in safeguarding these invaluable artworks for future generations
Pharmacists are health carers too
No full textAs we approach World Pharmacist Day on September 25, the 2025 theme, “Think Health, Think Pharmacist,” offers a timely opportunity to reflect on the remarkable evolution of the pharmacy profession in Malaysia. We take pride in the fact that the current Deputy Speaker of the Dewan Rakyat, YB Puan Alice Lau, is a pharmacist by training. Furthermore, Malaysia’s top research universities – UM, UKM, and USM now have pharmacists serving as Deputy Vice-Chancellors. Their appointments are a powerful testament to the leadership capabilities nurtured within the pharmacy profession
Preparing Malaysia’s health care industry for IFRS sustainability standards
No full textPreparing for these new standards is not merely a compliance exercise; it is a strategic imperative for future-proofing key economic sectors and enhancing the integrity of the entire Malaysian capital market
Psychological distress among Malaysian University students: the protective roles of hope, optimism, resilience, and self-efficacy
No full textPsychological distress is a growing concern among university students, yet the role of Psychological Capital (PsyCap) components in mitigating distress remains unclear. This study examines the protective roles of self-efficacy, optimism, hope, and resilience on psychological distress among Malaysian university students. A total of 547 students aged 18 to 24years (M=21.23, SD = 1.82) participated in this cross-sectional correlational study. Using SmartPLS software, the regression analysis showed that self-efficacy and optimism were significant negative predictors of psychological distress, whereas pessimism and succumbing were significant positive predictors.
However, hope and resilience did not exhibit significant predictive effects. These findings highlight the protective roles of self-efficacy and optimism in reducing distress, while acknowledging the detrimental impact of pessimism and succumbing. Outcomes of the study support Psychological Distress Theory and partially validate PsyCap, highlighting the distinct contributions of its components on psychological distress. Addressing these negative psychological constructs through targeted interventions such as self-efficacy enhancement workshops and cognitive-behavioural programs may help reduce pessimistic thoughts and psychological distress among university students
A pressing need for public air quality alerts
No full textLETTERS: We need to be aware of an invisible threat regarding the recent gas pipeline explosion in Putra Heights that left a trail of destruction.
I'm referring to the possibility of a dangerous level of air pollution, particularly fine particulate matter, or PM2.5, released during the inferno.
Many surrounding residents might be unaware of the risks because no formal warnings or air quality updates have been issued in the wake of this incident
Urgent need for AI ethics education
No full textThe recent incident involving a student in Johor allegedly using artificial intelligence (AI) to create and sell lewd images of classmates is a deeply disturbing wake-up call for Malaysia's education system. While technology offers tremendous opportunities, this case highlights a serious gap, revealing that our youth are not being adequately educated on the ethical and responsible use of AI
Teens text, they'd rather not talk
No full textA recent article by Radio New Zealand highlighted a shift in teenagers' communication patterns, in which they choose not to answer incoming calls despite having their phones in hand