In the current era of rapid technological advancements, educators are actively seeking appropriate digital multimedia tools to enhance students' learning experiences. Access to such resources is crucial for preparing students for the job market and ensuring their success. Digital note-taking has become a popular method of engagement, organizing, and composing comprehensible notes. The emergence of mobile technology has facilitated the shift from traditional note-taking to "digital note-taking." This study explores the effects of digital note-taking using CANVA, a popular digital tool, on students' academic achievement levels. CANVA for Education provides educators with a user-friendly platform for creating visually appealing and collaborative learning resources. It promotes project-based learning, enhances creativity and collaboration skills, and offers readily accessible features that contribute to a positive learning environment. This study aims to examine whether using CANVA significantly impacts students' performance compared to non-CANVA approaches. Additionally, it seeks to gather students' perspectives on the integration of CANVA for an effective learning experience. The study incorporates training, assistance, and feedback through questionnaires to evaluate the effectiveness of CANVA as a note-taking and teaching tool. The results show that the majority of students familiarized themselves with CANVA and preferred it over Microsoft PowerPoint for creating comprehensive and visually appealing notes. The findings suggest that CANVA enhances engagement, comprehension, and cognitive development during class activities, leading to positive learning outcomes. This study contributes to understanding the benefits of using CANVA as a digital tool for effective notetaking and teaching in classroom activities.

Achieving net zero emissions to ensure a sustainable future has become increasingly urgent in light of climate change. The palm oil industry in Malaysia plays a significant role in the country's economy but has faced criticism for its environmental impact, particularly in terms of sustainability and greenhouse gas emissions. While the government has implemented policies and initiatives to promote sustainable palm oil production and reduce emissions, there remains a need for a comprehensive and integrated mitigation strategy to help make an informed decision to improve the performance. To address the limitations of the current framework, this study proposes an Integrated Mitigation Strategy Model which incorporates established frameworks of Palm Oil Mill Carbon Accounting (POMCFA) and Sustainability Index (POMSI). This model has been developed based on the superstructure approach, considering a set of mitigation options to improve weak indicators identified through assessments. The selection of these options is informed by a theoretical review of existing literature on factor changes and their impact on emissions reduction. The model is further validated through case studies, ensuring its robustness and reliability. Based on the case study, it reveals that palm oil mill effluent, diesel consumption, and water consumption contribute the most to carbon dioxide equivalent emissions. In terms of sustainability scoring, the environmental aspect obtains the lowest scores compared to social and economic aspects. Weaknesses identified include dust concentration, palm oil mill effluent, and boiler emissions. Using the heuristics of factor changes equation, the mitigation model suggests implementing high-technology boilers as the optimal solution for these weaknesses. With the theoretical and empirical support behind the choice of variables, our model provides a valuable tool for decision-making in achieving net-zero emissions and sustainable palm oil production.

The significance and extraordinary effectiveness of using VR technology into health, safety, and environment (HSE) education are highlighted. It addresses the many benefits that VR has to offer, especially when it comes to fire exit training, by giving students engaging, involving, and profound learning experiences. The research highlights the seamless incorporation of VR into Health, Safety and Environment (HSE) courses, where VR simulations serve as important tools for teaching crucial evacuation tactics and encouraging students' in-depth understanding and preparedness for actual fire emergencies. This study investigates students' responses regarding their understanding in one of the HSE subject following the implementation of VR technology. Valuable student feedback has been gathered through comprehensive surveys, enabling a continuous process of improvement and refinement for the HSE program. Overall, this research stands as a compelling testament to the profound impact of VR in optimizing learning outcomes and fostering a heightened sense of safety awareness in professional environments.

Certain industrial chemical processes are known to change over time but are still regarded as normal; this can lead to false alarms when monitored using a non-adaptive process monitoring technique. Adaptive process monitoring techniques can improve product quality and minimize downtime by reducing false alarms. Since most industrial chemical processes are time-variant, standard principal component analysis (PCA) is not the best method for monitoring a slowly changing process. It is crucial to predetermine the data's characteristics to choose the best process monitoring technique. It has been discovered that t-distributed stochastic neighbour embedding (t-SNE) is a valuable data visualisation method. This paper uses t-SNE to visualise simulated data from a continuously stirred tank reactor (CSTR) process. It has been found that the visualized data using t-SNE is worth monitoring with recursive PCA due to its non-linear data characteristics. Consequently, sample-wise recursive PCA is utilized to identify slow changes caused by variations in ambient temperature during the day and night. Compared to standard PCA, the recursive PCA model performs noticeably better in reducing false alarms due to its effective adaptation to slow changes.

The petrochemical manufacturing industry serves as the countries’ main source of income apart from fulfilling consumer demand and daily needs. However, producti The petrochemical manufacturing industry serves as the countries’ main source of income apart from fulfilling consumer demand and daily needs. However, producti

The petroleum refineries sector is one of the highest-ranked sectors in terms of GHG emissions per facility. As a way forward in managing climate change, GHG assessment has become crucial in achieving net zero emissions. The objective of this study is to develop appropriate measurements for GHG assessment performance for the Malaysia petroleum refinery sector. The framework includes establishing indicators and parameters to quantify and assess carbon footprint and to obtain an approximate measure for carbon footprint accounting. The overall methodology for the GHG assessment framework is separated into two main parts with a total of eight steps for this study to be completed, however in this study the focus is only on the familiarization of plant, determination of parameters and indicators and greenhouse gases mapping which are part of the indicator development. With all information of the study being prepared, the next goal is to develop a comprehensive framework that can be used in the petroleum refinery process for carbon footprint accounting.