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Parental involvement in monitoring foundation students’ online learning in Malaysia
No full textThis study examined the parental involvement in monitoring their children online learning at foundation level through the parents’ perspectives, challenges and satisfaction. In addition, this study explored the relationship between parent’s perspectives on student’s online learning and parents’ demographic information (number of households, household income, and education level). This study employed a cross-sectional survey design, where a questionnaire was used for data collection. A total of 276 samples were selected randomly from parents who enrolled their children at a foundation center in a selected year. Data of the study were analyzed through descriptive (mean, standard deviation, percentage) and inferential statistics (Sperman’s correlation) using SPSS version 23. The findings of the study showed that majority of the parents have positive perspectives and high satisfactions towards involvement in monitoring foundation students’ online learning at home. The findings also revealed a strong positive correlation between parental perspectives towards involvement in monitoring foundation student’s online learning and household income as well as parents’ education level. The outcome of the study highlighted the parental readiness and awareness in their role in monitoring students’ online learning in tertiary education level while also providing awareness to educators on its importances and challenges in their online learning classes
Using AHP-Entropy Method to Evaluate the Effect of Specific Surface Area of Manganese Slag on Concrete Properties : A Case Study on Sustainable Cementitious Materials
Get PDFThis investigation examines the viability of employing Manganese Slag (MnS), an industrial by-product, as a sustainable Supplementary Cementitious Material (SCM) in concrete. MnS with four distinct Specific Surface Area (SSA) values (60, 120, 235, and 400 m²/kg) is assessed for its effects on workability, mechanical characteristics, and durability. Concrete specimens were fabricated by substituting different proportions of cement (by mass) with MnS, and their performance was evaluated through slump tests, compressive and flexural strength measurements, freeze-thaw resistance, sulfate attack, and chloride ion penetration analyses. The findings suggest that heightened SSA generally improves fluidity, strength, and durability, with better overall performance observed at 235-400 m²/kg SSA and 5-15% substitution. To find the optimal mixture design, the Analytic Hierarchy Process (AHP) and entropy methodology were utilized, and it was concluded that the most balanced overall performance of concrete was obtained at 235 m²/kg SSA and 10% substitution. This research establishes that MnS when appropriately processed and incorporated, can improve concrete properties while promoting sustainable industrial waste management. These outcomes advance the development of environmentally conscious construction materials and optimize SCM applications in cementitious systems
Psychometric properties of the general conspiracy belief scale using item response theory
Get PDFEvaluation of the psychometric properties of conspiracy theory belief instruments has been dominated by classical approaches with limitations, especially in dependence on sample size and inaccuracies in item-level analysis. This study aims to fill this gap by applying a polytomous Item Response Theory (IRT) approach to reanalyze the General Conspiracy Belief Scale (GCBS). This study aims to re-examine the psychometric properties of the GCBS with an IRT approach to produce measurements that are more precise and independent of sample characteristics. The research design used was a quantitative replication utilizing secondary data from 2,495 students at the college level. The instrument used consisted of 15 items on a five-category Likert scale. The analysis was conducted using three polynomial IRT models, namely the Graded Response Model (GRM), Partial Credit Model (PCM), and Generalized Partial Credit Model (GPCM), with the help of R software. The results showed that the GRM model was the model that best fit the data, with most items showing high distinctiveness and providing maximum information on respondents with low to moderate levels of conspiratorial belief. Empirical marginal reliabilitycoefficients were high, indicating that the instrument's internal consistency was perfect. This study contributes to the field by offering a more robust and nuanced psychometric evaluation of the GCBS through IRT, providing researchers with a validated framework for assessing conspiracy beliefs with higher accuracy and scale precision. However, the limitation of this study lies in the use of secondary data sourced from one particular population group, so the generalizability of the findings still needs to be further examined in a more diverse context
A Review : Performance Analysis of Single Board Computer Technology as an IoT System
No full textThe development of Internet of Things (IoT) technology has driven the demand for cost-effective server solutions capable of managing large volumes of data, thereby
creating efficiencies in data management to support smart digitalization. Single Board Computer (SBC) technology, such as Raspberry Pi and Tinkerboard have been developed over the years to offer another alternative for powering energy efficient server infrastructure that has decent performance for diverse dataset processing for the IoT. Advantages provided by such devices make SBC a potential candidate for IoT servers. Such low-cost, low power machines can offer required computing resources to facilitate various IoT applications, such as edge
processing, data aggregation and analysis. This paper compares single board computer products as IoT servers, such as Raspberry Pi 3, Raspberry Pi 4 and Asus Tinkerboard, from the case study of room sensor monitoring in Internet of
Things. It can be seen from the test results that the Raspberry Pi 4 is more suitable to deploy IoT application at a low price when the CPU response time is 62 seconds, and the CPU response time is 96 seconds for the Raspberry Pi 3 and 64
seconds for the Tinker Board. This work will give useful advice to IoT developers, readers to choose an appropriate Single Board Computer for their environmental sensing work
Formulation and Mitigation of Soft Error in CMOS Memory System by using Transmission Gate
Get PDFThe downscaling of technology has resulted in increased packing density in CMOS
technology and thus, a worrying uptick in single event upset susceptibility in contemporary
technology. SRAMs in particular, which now occupy up to 70% of all chip size, are
vulnerable to errors from single event upsets, leaving the reliability of its memory storage
potentially compromised. The application of submicron electronics in areas of high particle
activity in fields such as aerospace calls for the need for technology that is resistant against
the occurrence of soft errors, with an increased capacity of mitigating the phenomenon of
single event upsets. The current literature has proposed methods such as radiation hardening
through methods such as transistor sizing and triple modular redundancy which are unable
to keep pace with technology downscaling. This study aims to characterize and model the
transient pulse formed from a single event upset, formulate the probability of a state flip in
various SRAMs, and produce a transient filter based on transmission gate. The transient
pulse, modelled by the double exponential model is injected into the vulnerable memory
nodes of the interlocked inverters, Q and QB in the 4T, 6T and 9T SRAMs to observe the
amplitude of transient pulse required to incite a state change. The critical charge is then
calculated from the readings, and its subsequent probability is calculated further based on
the memory node area, technology node of 180nm and the atmospheric cross section per unit
area constant. The transmission gate transient filter SRAM achieves an 88% improvement
in error probability reduction
Impact of Global Value Chain and Industrial Agglomeration on China’s Automobile Industry Upgrading
Get PDFThe automobile industry is a crucial component of China's national economy, serving as both a pillar and a leading sector. In the era of globalization, the trend of mergers and acquisitions has swept across the globe, making China's automobile industry a microcosm of the global automotive landscape. This industry is characterized by its high degree of interconnectedness, an extensive industrial chain, and a broad employment scope, all of which play a significant role in driving the growth of the national economy. Although China leads the world in automobile production, the Chinese automobile industry lacks competitiveness in the international market. The objective of this study is to investigate the factors influencing the upgrading of China's automobile industry and provide recommendations to enhance its competitiveness in the global market. Specifically, this thesis mainly studies the impact of industrial agglomeration and global value chain on the upgrading of China's automobile industry, and discusses whether government support plays a moderating role in the process of industrial agglomeration's impact on the upgrading of China's automobile industry, and whether foreign direct investment plays a moderating role in the process of global value chain's impact on the upgrading of China's automobile industry. Moreover, it analyses whether technological innovation plays a mediating role in the impact of global value chain on the upgrading of China's automobile industry. Finally, it examines whether human capital has a threshold effect in the impact of industrial agglomeration on the upgrading of China's automobile industry. It aims to contribute to the development of China's automobile industry and strengthen China's position in the global automobile market. This study selects a 21-year dataset from 28 provinces in China, spanning from 2000 to 2020, to ensure the availability and authenticity of the data. To measure industrial upgrading, total factor productivity (TFP) is chosen as the proxy variable. The TFP is calculated using the DEA-Malmquist method with the Deap2.1 software. For estimation, System GMM and the dynamic panel threshold model are employed, with regression analysis conducted using Stata 17 software. The empirical results indicate that industrial agglomeration positively promotes the upgrading of China's automobile industry. However, embedding in the global value chain inhibits this upgrading. Government support does play a mediating role in the influence of industrial agglomeration on the upgrading of China's automobile industry. Similarly, foreign direct investment moderates the impact of global value chain on the upgrading of China's automobile industry, and technological innovation serves as a mediating factor in the effect of global value chain on the upgrading of China's automobile industry. Additionally, human capital acts as a threshold factor influencing the impact of industrial agglomeration on the upgrading of China's automobile industry, with a threshold value of 8.5099. Specifically, when human capital is below this threshold, industrial agglomeration does not significantly promote the upgrading of the industry. It is only when human capital exceeds the threshold that industrial agglomeration significantly enhances the upgrading of China's automobile industry. Based on these empirical analysis results, this study proposes recommendations for the upgrading of China's automobile industry
Research Trends in ESG and Banking Performance
No full textThe purpose of this paper is to provide a comprehensive analysis of the existing literature on ESG and banking performance. A bibliometric analysis was conducted using data extracted from the Scopus databases, covering the period from 2016 to July 2025. Based on a search within the fields of “article title, abstract, keywords”, a total of 179 documents were selected for further analysis. BiblioMagika was employed to generate citation metrics, OpenRefine was used to clean and standardise the dataset, and VOSviewer was applied for data visualisation. These findings are presented through bibliometric indicators, particularly subject areas, publication trends, source titles, leading contributors and author keyword co-occurrence analysis. As a result, most articles were published in the field of economics, econometrics, and finance. In addition, there was a significant spike in total citations in 2019, reaching 1238 citations, whereas the highest number of publications was recorded in 2024, with a total of 64. Furthermore, Finance Research Letters has contributed the most articles to ESG and banking performance research. Moreover, Amina Mohammed Buallay stands out as the most productive and influential author in this field. Brunel University London leads in institutional contributions, while Italy emerges as the top contributing country for ESG and banking performance studies. Lastly, the author keyword of “ESG” emerged as the most frequently used term in the field of ESG and banking performance studies. Therefore, the analysis of existing literature offers valuable insights for both scholars and policymakers, establishing a solid foundation for future research in this field
The current state of forensic imaging – recommended radiological tools and international guidelines
Get PDFThe last few decades have seen the emergence of forensic imaging, both clinical and post-mortem. Year after year, the scienti c community has re ned the radiological tools that can be used for post-mortem and clinical forensic purposes. As a result, scienti c societies have published recommendations that are essential for the daily work of forensic imaging. This third part of the review of the current state of forensic imaging describes these recommended radiological tools and also presents an overview of the various international guidelines dealing with post mortem imaging that can be found in the literature or that have been written by scienti c societies
Landscape design of Langya Mountain Scenic Area based on regional culture : A field study
Get PDFIn the context of rapid urbanization and the increasing homogenization of tourism landscapes, integrating regional cultural elements into landscape design has become essential for reinforcing cultural identity and enhancing visitor engagement. This study explores the Langya Mountain Scenic Area in Chuzhou, China, to develop strategies for translating local culture into the spatial landscape forms. It proposes a research pathway consisting of cultural excavation, element extraction, and landscape expression. The study systematically identifies and classifies the regional cultural elements of Chuzhou, with a particular emphasis on the symbolic translation of regional culture and the representation of the landscape. This includes the
construction of material carriers, spatial organization, the incorporation of visual symbols, and the design of immersive experiences, collectively facilitating both the inheritance and innovative expression of local culture. By embedding cultural genes into specific landscape compositions and integrating the topography and cultural nodes of Langya Mountain, the study advocates for the restoration of historic sites and the creation of thematic zones, such as the Folk Culture Square and the Food and Chuju Cultural Experience Zone. These efforts enable a systematic translation from cultural distillation to scene creation. The research demonstrates that the spatial expression of regional culture not only enriches the cultural depth of the
landscape but also significantly enhances visitors’ cultural experience, offering a design paradigm for the cultural landscape development of Langya Mountain and contributing to the advancement of regional cultural landscape design theory