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10412024
Article
Proposed model to predict preeclampsia using machine learning approach
Muhammad Modi Lakulu
Pregnancy complications, which are the biggest cause of death in productive women, are more common in developing countries with low incomes. One of the contributors to death in pregnant women is preeclampsia which contributes 2-8% every day. Based on research results, more than 70% of the use of technology can be a solution for early prevention in detecting cases of pregnancy. The aim of this research is to build a model for early detection of preeclampsia using a machine learning approach. Sample using retrospective data with sample size 1.473. Based on the result, decision tree (DT) is the best model with accuracy 92.2% (area under curve (AUC): 0.91; Spec: 92.3; and Sens: 83.6), according to weigh correlation we can show 3 (three) highest features causes preeclampsia is history of hypertension, history of diabetes mellitus, and history of preeclampsia. The health of pregnant women is essential in the development of the fetus, so it needs optimal monitoring. Monitoring during pregnanc.....

94 hits

10422024
Article
Navigating challenges in the sustainable development of urban brownfields: A PLS path modeling perspective
Nor Shahida Azali
The sustainable redevelopment of urban brownfields represents a complex interplay of socio-economic, environmental, and regulatory factors. This study addresses the research problem of quantifying the challenges inherent in the sustainable redevelopment process and hypothesizes that these challenges vary significantly across different domains such as governance, environmental impact, financial economics, technical operations, and legal regulations. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), the study aims to explore and quantify these challenges, providing actionable insights for policymakers and stakeholders. Focusing on brownfield projects within Chengdu's five urban districts, a survey was conducted spanning from November 1, 2023, to March 1, 2024, with a total of 436 respondents participating. Drawing upon an extensive dataset encompassing governance, environmental impact, financial economics, technical operations, and legal regulations, we provide a co.....

152 hits

10432024
Article
Integration of FDOSM and FWZIC under homogeneous fermatean fuzzy environment: A prioritization of COVID-19 patients for mesenchymal stem cell transfusion
Alamoodi, Abdullah Hussein
Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 patients for MSC transfusion based on multiple criteria is considered a multi-Attribute decision-Analysis (MADA) problem. Although literature reviews have assessed the prioritization of COVID-19 patients for MSCs, issues arising from imprecise, unclear and ambiguous information remain unresolved. Compared with the existing MADA methods, the robustness of the fuzzy decision by opinion score method (FDOSM) and fuzzy-weighted zero inconsistency (FWZIC) is proven. This study adopts and integrates FDOSM and FWZIC in a homogeneous Fermatean fuzzy environment for criterion weighting followed by the prioritization of the most eligible COVID-19 patients for MSC transfusion. The research methodology had two phases. The decision matrices of three COVID-19 emergency levels (moderate, severe, and critical) were adopted based.....

64 hits

10442024
Article
Exploring United Arab Emirates school teachers’ perceptions, motivation and benefits of game-based teaching and learning environments
Md Monjurul Islam
Recent research specifies that game-based learning effectively engages students in classroom activities. Although there has been a prominent upsurge in game-based teaching and learning, this area has not received significant attention within the context of Gulf nations. This study investigates the perceptions, motivations, and benefits of game-based teaching-learning among school teachers, aiming to enhance the interactive learning environment. This study used a quantitative method and survey data from 505 school teachers who were actively teaching around the United Arab Emirates to reach its objectives. The majority of teachers believed that using games as a teaching tool in the classroom was a good idea. The study revealed the potential for game-based learning in the classroom and identified challenges, such as the need for rigorous game-based instructional design. We examined game-based teaching and learning’s role in contributing to interactive learning environments and its appar.....

149 hits

10452024
Article
Development and validity of arabic muamalat module (M~BAM) for Islamic finance higher education learning program
Al Muhsin, Muhammad Anas
The objective of this paper is to develop an Arabic Muamalat Module (M~BAM) and evaluate its effectiveness in improving mastery of Arabic related to muamalat. This module is constructed using the ADDIE model, which consists of five development phases. The study design is descriptive, employing a quantitative approach. The instrument used for the study is the module content-validation assessment form. The module underwent validation by seven experts in validity assessment, comprising lecturers from both public and private universities as well as Institute of Teacher Education (IPG) lecturers. All possess expertise in module development, Arabic content and pedagogy. The results of the experts' validity assessment indicate that the module is relevant and usable, with a mean score of 4.29. It can be concluded that a meticulous approach to developing the M~BAM module is required for Islamic finance students, aligning with educational standards, and employing diverse teaching methods. With a.....

224 hits

10462024
Article
Convolutional neural network for sentiment analysis on metaverse-related tweets: A deep learning approach
Haslinda Hashim
Sentiment analysis has become an indispensable tool in interpreting vast amounts of data generated from social media platforms, providing insights into public opinions on a variety of topics. This is particularly relevant in the context of emerging technologies like the Metaverse, which are frequently discussed across digital platforms. Traditional sentiment analysis tools struggle with the volume and complexity of data, particularly when dealing with nuanced discussions around new technologies such as the Metaverse. Convolutional Neural Networks (CNNs), known for their success in image processing, have not been extensively validated for their efficacy in analyzing sentiment from text-based social media data. This study introduces a novel approach by applying CNNs specifically to Metaverse-related tweets. This approach leverages CNNs’ ability to extract meaningful patterns from complex textual data, offering potentially superior performance over traditional models. We utilized a data.....

124 hits

10472024
Article
Conservation and management plan at a prehistoric archaeological site: The case of the Niah Caves in Sarawak, Malaysia
Nurulasyikin Hassan
The Niah Caves are an important archaeological site that supports a resident population and is host to a large and growing number of visitors. Close monitoring, strict regulations and careful management will be required in the long term to avoid pressures and threats from urban expansion, plantations, resource use, village growth, excessive tourist infrastructure and use, and service development. However, the absence of a formally written conservation and management plan prior to 2022 has left the heritage conservation and management of the Niah Cave site insufficient in addressing its management challenges. Hence, this paper analyses the conservation and management plan for the site through systematic observation, site analysis, and stakeholder interviews. The research focuses on documentation and recording, assessing the site’s importance, identifying all factors and issues, defining management policy, selecting management strategies, and monitoring and reviewing the plans for the .....

283 hits

10482024
Article
An investigation on the types of humour in English language teaching among Malaysian lecturers in higher education
Mazlin Mohamed Mokhtar
Humour in English Language Teaching (ELT) is known to be beneficial for both the educators and students. However, the literature addressing the types of humour used by Malaysian lecturers in higher education on this matter are yet to be explored. To address these issues, the study focusses to explore on the types of humour used in ELT by Malaysian lecturers in relation to the four types of humour: verbal, visual, auditory and figural humour. The research design is a qualitative study which implements two instruments; classroom observation and semi-structured interviews. Thematic analysis will be used to analyse the data. The results from the study show that there are three types of humour commonly used: verbal humour, visual humour and auditory humour. The data analysis indicates that there are four factors which influence the types of humour used in the classroom: humour used for content delivery, humour to build rapport, humour to attract attention and humour to instil discipline. ©.....

261 hits

10492024
Article
Educational enhancement through augmented reality simulation: A bibliometric analysis
Mohamed Nor Azhari Azman
Augmented Reality (AR) has become a key technology in the education sector, offering interactive learning experiences that improve student engagement and understanding. Despite its increasing use, a thorough summary of AR research in educational environments is still required. This study applies bibliometric analysis to identify trends in this research field. Data from the Scopus database and VOSviewer software version 1.6.19 was used to analyze academic publications from 2018 to 2023. The original dataset of 4858 articles was narrowed down to 1109 articles concentrating on “augmented reality” AND “simulation” in student learning. Methods such as advanced data mining, co-citation analysis, and network visualization were utilized to outline the structure and trends in this research area. Key findings include a significant rise in research activity over the past decade, identification of the ten most prolific authors in AR simulation studies, and detailed visualizations of inform.....

251 hits

10502024
Article
Development of an e-module based on local wisdom ethnoastronomy in the digital era to strengthen the pedagogical competence of social studies teachers
Shakila Che Dahalan
This research aims purposes to design and develop a digital-based e-module with ethnoastronomy content for junior high school students. We used a Design-Based Research (DBS) approach with four steps: needs analysis, design planning, development, and reflection on results of use. We used questionnaires, field notes, literature studies, and documentation for social studies teachers. The results showed that the preparation of e-modules refers to the applicable curriculum and pays attention to the analysis of learning needs. E-module design is very good as interactive teaching material, concrete, implementable, characteristic practical, and economical, making it easier for students to understand. The enthusiasm of social studies teachers in improving pedagogical technology competence following the demands of independent, adaptive, and contextual professional teacher competence supports the successful use of e-modules. The research implications increase the variety of interactive teaching m.....

130 hits

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