Stroke is a critical public health issue that frequently has long-term impairment and negative effects. Devising innovative methods that enable timely and accurate identification and intervention is crucial. In this regard, machine learning (ML) and deep learning (DL) approaches of artificial intelligence (AI) play a crucial role in reducing the incidence of strokes. This study systematically analyzed articles from 2012 to 2022 using the PRISMA Method. PRISMA is a tool that facilitates researchers’ access to an online platform for self-directed learning. The cumulative quantity of articles gathered for ten years reached 1405 from five databases. However, only 79 relevant articles were used for identification. The main objective was to provide a thorough taxonomy that classifies using and implementing machine learning approaches for stroke prediction. The results of this experiment confirm that machine-learning techniques have a great deal of potential for accurate stroke prediction. .....

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This study conducted a bibliometric and thematic analysis on research related to Islamic social finance from 2000 to 2022. The research aimed to evaluate the current growth and publication trends in Islamic social finance studies, identify the most prolific contributors in the field, determine the most highly cited documents, and explore the research gaps and implications for future research perspectives in Islamic social finance. Data were collected from the Scopus database using keywords such “Islamic Social Finance” OR “Zakat” OR “Sadaqah” OR “Islamic Microfinance” OR “Waqf” and OR “Qard al-Hasan”. A total of 1316 documents were initially obtained, and after screening, 732 documents were included for analysis. The data were analyzed using tools like Biblioshiny and Microsoft Excel. The results showed that most publications were in 2022 (106 publications). The most significant author, affiliation and source were Saad, R.A.J. by the author (16 articles), Intern.....

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New Year pictures are an essential part of Chinese traditional culture, with profound historical deposits and unique artistic value. However, with the rapid development of society, the inheritance and protection of traditional New Year pictures are facing many challenges. One of them is the recognition of the New Year painting images. This paper introduces image recognition technology based on machine learning, including research background, method steps, result discovery, and advantage limitations. Image recognition is an essential means to protect and inherit the traditional New Year painting culture and machine learning technology can improve recognition accuracy and efficiency. This paper presents deep learning implemented through data collection, feature extraction, and classification. The experimental results show that the method can effectively identify New Year images with high accuracy and recall. © 2024, Innovative Information Science and Technology Research Group. All right.....

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Group counselling can assist teachers in better adapting to society and enhancing personality growth. Psychological capital also plays an important role in teachers’ professional development and career engagement. Nevertheless, the relationship between group counselling and the psychological capital development of kindergarten teachers is not fully understood. This study investigated the effects of group counselling on rural kindergarten teachers’ psychological capital status. A pre and post-test experimental design was conducted to investigate the effectiveness of the group counselling programme on rural kindergarten teachers’ psychological capital in Fujian Province, China. The group counselling programme comprised three stages: initial, theme activity, and final stages, and was carried out for 8 weeks, with one topic per week, and 90 minutes for each session. The psychological capital questionnaire was used as an assessment tool to intervene with 40 kindergarten teachers in th.....

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This systematic literature review examines the barriers, strategies, and accessibility issues affecting the engagement and retention of learners with disabilities in Massive Open Online Courses (MOOCs). Employing the PRISMA procedures, this study systematically identifies and analyzes relevant literature from five prestigious databases: (a) Scopus, (b) ScienceDirect, (c) Emerald, (d) SpringerLink, and (e) EBSCOhost in order to identify (1) the common barriers experienced by learners with disabilities in MOOCs, (2) the strategies that can be employed to improve the engagement and participation of special needs students in MOOCs and (3) influence of accessibility on engagement and retention rates of learners with disabilities in MOOCs. After conducting the screening and eligibility analysis according to the pre-defined criteria, 19 studies of out 624 sources were finally selected between 2014–2024. The review underscores the necessity for comprehensive policy frameworks and institution.....

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This research aims to explore the urgency, content expectations, and teachers' attitudes towards learning creative dance based on traditional folk games in building the imagination of preschool children. Knowledge about the teacher's urgency, content, and attitudeis needed to develop a creative dance learning model that can increase the imagination of preschool children using traditional folk  games.  A  survey  conducted  on  40  preschool  teachers  in  Malaysia  showed  that  teachers  felt  an  urgency  to  improve  children's imagination (mean = 4.48), proposed somecontent related to traditional games (mean = 4.45), and saw that traditional games could inspirea creative movementto increase children's imagination (mean = 4.41). This research is still in the early stages of evaluating teacher needs and readiness and has not yet reached the design or empirical testing of the Active-Tradir model. Nevertheless, these findings provide a strong basis for further develo.....

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[No abstract available]..

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The genus Lindera in the family Lauraceae, is widely distributed in tropical and subtropical areas throughout the world. Its roots and leaves have been used for thousands of years as a traditional Chinese medicine and functional food. This study was carried out to investigate the antioxidant, antifungal, and antibiofilm properties from Lindera subumbelliflora (Blume) Kosterm (leaves and roots) and L. caesia Reinw. ex Fern.-Vill. (leaves) growing in Malaysia. Antioxidant activity was determined using DPPH assay, antifungal activity by microdilution method for determination of MIC and MFC, whereas antibiofilm was determined using a semi-quantitative static biofilm. The L. caesia leaf extract revealed strong activity in DPPH assay with IC50 value of 65.6 μg mL-1, while the L. subumbelliflora roots extract exhibited the best antifungal activity against Candidca albicans ECE1 with MIC and MFC value of 250 μg mL-1. In addition, all Lindera extracts showed promising antibiofilm inhibitory a.....

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Contextual ambidexterity and digital platform capability can help SMEs achieve long-term success. However, achieving a balance between exploration and exploitation of contextual ambidexterity for integrating and reconfiguring organisations using digital platform capability is challenging to SMEs. The inherent disadvantage of size and lack of resources plaguing SMEs limits their market competitiveness. In this digital age, it is pertinent for SMEs to focus on capabilities development, especially capabilities that can leverage digital infrastructure to compensate for resource deficiencies. To address this issue, this study examines the implications of contextual ambidexterity and digital platform capability on SMEs performance, and the role of absorptive capacity as a moderator. Using a quantitative method, 157 responses from Malaysian SME managers were analysed using PROCESS Macro. The results show that both contextual ambidexterity and digital platform capability have positive relation.....

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Botrytis cinerea, commonly known as gray mold, is a pervasive fungal pathogen that affects a wide range of plant species, leading to significant agricultural losses. The identification of Botrytis cinerea in Malaysia is crucial for protecting the agricultural sector, minimizing economic losses, ensuring food security, maintaining export quality, addressing environmental concerns, and advancing scientific research. In the present research, tomato fruits collected from Cameron Highlands, Pahang, Malaysia showed gray mold disease symptoms of B. cinerea. The fungal isolates were examined morphologically for colony colour, growth rate, conidiophores, conidia shape, and sclerotia on PDA and V8 agar. According to the results, conidiophores appeared in grape shape and length was range of 21.26-32.52 μm, ovoid conidial dimensions were in the range of 10.03-16.08 × 7.37-11.15 μm and sclerotia size was range 1.91-4.50 × 1.70-4.00 mm. All isolates were attributed to the morphospecies Botrytis .....

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