This study aims to study carbon monoxide (CO) concentration in the Federal Territory of Kuala Lumpur (FTKL), which involves primary data through field studies with a quantitative approach. The CO sampling method involves 12 observation stations covering six main zones for eight days. Data are collected twice a day at night and day between 01:00-04:00 AM and 1:00-4:00 PM. The duration of the sampling is 30 minutes for one sample. Sampling time may vary for stations but still within the stipulated time. The instrument to measure CO is the Model Carbon Monoxide meter AS700A. The Analysis is descriptive. The findings show that the lowest value at night is stations 3 and 10, with an average concentration value of 5 parts per million (ppm). Simultaneously, the highest CO value in the afternoon is at station 1 and station 4, with a concentration of 12 ppm. The overall average at each station is high, between 7 to 12 ppm. Most stations show readings exceeding the WHOs standard (5 ppm/hour). Ho.....

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Purpose: The Malaysia Education Blueprint is primarily concerned with the transformation of students' minds through the curriculum offered at the school level (2013-2025). Diversity in the application of teaching and learning methods is one means of achieving the transformation of students' minds through the Secondary School Standard Curriculum. Consequently, the production of ExSheetLink's Module for Accounting Education is the primary outcome of this study, which had three objectives: the need for ExSheetLink's Module in the process of producing financial statements for Accounting Students in secondary school to the Accounting Teacher; and the design of ExSheetLink's Module that meets the entire process in the production of financial statements for Accounting Students in secondary school based on the Documents Curriculum and the Accounting Students' needs. Research design, data and methodology: This study outlines the research framework for module development in accordance with the D.....

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Using a pre-trained Convolutional Neural Network (CNN) model for a practical biometric authentication system requires specific procedures for training and performance evaluation. There are two criteria for a practical biometric system studied in this paper. First, the systems ability to handle identity theft or impersonation attacks. Second, the ability of the system to generate high authentication performance with minimal enrollment period. We propose the use of the Multiple Clip Contrast Limited Adaptive Histogram Equalization (MC-CLAHE) technique to process finger images before being trained by CNN. A pre-trained CNN model called AlexNet is used to extract features as well as classify the MC-CLAHE images. The authentication performance of the pre-trained AlexNet model has increased by a maximum of 30% when using this technique. To ensure that the pre-trained AlexNet model is evaluated based on its ability to prevent impersonation attacks, a procedure to generate the Receiver Operati.....

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This paper proposes a system for automatic detection of litter and garbage dumps in CCTV feeds with the help of deep learning implementations. The designed system named Greenlock scans and identifies entities that resemble an accumulation of garbage or a garbage dump in real time and alerts the respective authorities to deal with the issue by locating the point of origin. The entity is labelled as garbage if it passes a certain similarity threshold. ResNet-50 has been used for the training purpose alongside TensorFlow for mathematical operations for the neural network. Combined with a pre-existing CCTV surveillance system, this system has the capability to hugely minimize garbage management costs via the prevention of formation of big dumps. The automatic detection also saves the manpower required in manual surveillance and contributes towards healthy neighborhoods and cleaner cities. This article is also showing the comparison between applied various algorithms such as standard Tensor.....

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As the field of information technology expands, there is a huge need for cloud service providers (CSP). CSP's vast solutions and services support Cloud, IoT, Fog, and Edge computing. In today's competitive cloud market, customer satisfaction is critical more than ever. CSP and consumer satisfaction with service level agreement (SLA) fulfillment have always been given more attention. As a result of signing SLA and CSP agreements to supply resources in high demand, customers are now experiencing issues with resource delivery. Cloud and heterogeneous environments necessitate an intelligent recommender and negotiation agent model (IRNAM) to handle responsibilities in the current system. The Recommender system recommends CSP as per users' priorities, which eases the filtration process. The negotiation process provided by IRNAM ensures that users' choices are prioritized with maximum jobs to CSP. IRNAM keeps track of the most critical metrics and can reach decisions quickly and for the best .....

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Pedagogical practices with high quality could affect students positively. In recent years, pedagogy in education is learner-centric or teacher-centric. Accordingly, different pedagogical approaches have been used by various traditional studies with an aim of creating an effective education system. Hence, this study intends to comprehensively examine various recent pedagogical practices to find its impact on students. It also attempts to discuss pedagogical statistics in global viewpoint and assess distinct approaches for teaching and learning. The study has also reviewed the Malaysian perspective regarding the pedagogical practices. Finally, it discusses the innovations to be employed in future for an effective education. Various teaching and learning styles are explored which could be opted by educators that suits them, and also employ the learning methods to students based on their ability. Innovations to be made in future pedagogy is also described that could serve as a guideline fo.....

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INTRODUCTION: Anxiety and depression are common mental illnesses among cancer caregivers. Most caregivers often sacrifice a lot of time, energy and their own physical and emotional needs. MATERIALS AND METHOD: A cross sectional study was conducted among 156 caregivers of cancer patients who provided treatment and moral support to cancer patients at the Oncology clinic of Sultan Ismail Hospital (SIH), Johor Bahru, Malaysia. The Hospital Anxiety Depression Scale (HADS) was used to assess the depression and anxiety levels among the respondents. Data was analysed using Statistical Package for Social Sciences version 17.0 software. The P value of less than 0.5 was taken a significant. RESULTS: In general, there was moderate relationship between cancer caregivers and patients in term of emotional, care and patient treatment, but in some circumstances, caregivers were also exposed to risk during care period of cancer patients. There was a significant relationship with moderate correlation bet.....

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Following the outbreak of the COVID-19 pandemic in December 2019, which has since proved to be a pandemic of variants, the educational landscape has undergone a drastic transformation as educational institutions across the globe have shifted en masse into online learning, resulting in an unprecedented paradigm shift from on-campus face-to-face instruction to a remote teaching model. Pivotal and timely, this applied linguistic survey research, aimed to investigate this forced immersion into academic cyberspace and the challenges created by this emergency adoption of virtual education by exploring the experiences, challenges and perceptions of 50 English language faculty members affiliated with three universities in three different countries. The study sought to identify and document (1) the effectiveness of online teaching, (2) the difficulties of its implementation, (3) student interaction and engagement in the online environment, and (4) factors that could enhance its efficacy. The st.....

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We revisit the oil price and stock market nexus by considering the impact of major economic shocks in the post-global financial crisis (GFC) scenario. Our breakpoint unit root test and Markov switching regression (MRS) analyses using West Texas Intermediate (WTI) oil price and Standard & Poors 500 (S&P 500) market index show that among the major economic events, the recent coronavirus (COVID-19) pandemic is the most significant contributor to market volatilities. Furthermore, our MRS results show that the relationship between oil price and the stock market is regime-dependent; the stock market experiences substantial and positive shocks in a volatile oil price regime. Our results provide valuable insights to investors and policymakers regarding risk management and financial market stability during economic crisis periods, specifically during the COVID-19 pandemic. The Author(s) 2023...

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The education field has seen numerous revolutions and innovations that have altered the teaching and learning process through the emergence of Information and Communications Technology (ICT) which provides numerous benefits to both educators and students. However, there is concern that students' focus in the classroom becomes less due to the lack of pleasurable during the teaching and learning sessions. Thus, the existence of learning using Augmented Reality (AR) applications seems to help students improve their thinking skills in terms of cognitive as well as behaviorism. Therefore, this study proposed the Design and Development of an Augmented Reality (AR) Application for Internet Evolution Learning Topics known as AREvo. The methodology used in this study was based on design and development research (DDR) and ADDIE Model was used for designing and developing AREvo. Several platforms and software were used to develop AREvo. Several experts in the Creative Multimedia field from higher.....

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