Journal of Applied Science and Emerging Technology https://ph01.tci-thaijo.org/index.php/JASCI <p>Journal of Applied Science and Emerging Technology (JASET) is an academic journal published biannually by the Faculty of Applied Science, King Mongkut's University of Technology North Bangkok. The JASET publishes papers in four types: (1) research articles in Thai or English, (2) academic articles in Thai or English, (3) review articles in Thai or English, and (4) editorial corner/invitation articles in English, encompassing all areas of applied science and technology. However, in the case of (4) editorial corner/invitation articles will be reviewed and approved by editors of the JASET. The journal will not accept articles, which have been published or are being considered for publication by another journal, nor should papers published here be submitted to other journals. </p> <div class="content3-container line-box"> <div class="content3-container-1col"> <div class="content-txtbox-noshade"> <p><strong>"Journal of Applied Science and Emerging Technology does not have the policy to collect publication fee"</strong></p> <p><strong>"Each article must be evaluated by three peers (double-blinded) before accepted for publication"</strong></p> <p><strong>"Article must be revised and sent back to the journal within 4 weeks after the return for revision unless the article will be rejected"</strong></p> <p><strong>"Journal of Applied Science and Emerging Technology published both as hard -copies [ISSN 2822-1451 (Print)] and electronic journal [ISSN 2822-1508 (Online)] available on ThaiJO system"</strong></p> </div> </div> </div> en-US narumol.k@sci.kmutnb.ac.th (Assoc.Prof. Narumol Kreua-ongarjnukool) jaset@sci.kmutnb.ac.th (Kitsiya Chuchuaysuwan) Wed, 29 Apr 2026 22:13:46 +0700 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 A systematic Literature Review on Mobile Application Development for Children with Autism Spectrum Disorder (ASD) https://ph01.tci-thaijo.org/index.php/JASCI/article/view/265621 <p>Mobile applications are increasingly used to support children with autism spectrum disorder (ASD). This systematic literature review analyzed studies published between 2018 and 2025 on mobile app development for children with ASD. Using PRISMA guidelines, 78 records were identified from Scopus and IEEE Xplore databases, and 15 met the inclusion criteria. Study quality was evaluated using the CASP checklist, with 47% (7/15) achieving high quality scores. The findings showed geographic diversity, with many studies conducted in Asia, and varied methodological quality. Several design approaches were used, including User-Centered Design, Applied Behavior Analysis, TEACCH, gamification, and artificial intelligence. Intervention-based studies reported positive outcomes in communication, emotional regulation, daily living skills, and user engagement. However, many studies relied on small sample sizes and short testing periods, limiting generalizability. Applications combining multiple therapeutic and design approaches demonstrated higher usability and effectiveness than single-method systems, with usability scores reaching up to 97/100. This review provides evidence-based guidance for researchers, developers, and clinicians working to advance mobile interventions for children with ASD.</p> Hana Samah, Anas Tawalbeh, Fauzan Mapa Copyright (c) 2026 Journal of Applied Science and Emerging Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph01.tci-thaijo.org/index.php/JASCI/article/view/265621 Wed, 29 Apr 2026 00:00:00 +0700 Random Forest Algorithm Applications in Studying Children Under-five: Systematic Literature Review (SLR) https://ph01.tci-thaijo.org/index.php/JASCI/article/view/265307 <p>Effective monitoring of health and development in children under five is essential for timely detection, informed clinical decision-making, and cost-effective public health action. Recent advances in machine learning have expanded the potential of under-five monitoring systems, particularly for early screening, population-level risk prediction, and determinant-oriented surveillance. This paper presents a systematic literature review of Random Forest and closely related modelling practices in under-five monitoring, with attention to both opportunities and methodological constraints. The review identified 15 eligible studies, covering applications in respiratory infection monitoring, malaria risk prediction, nutrition and growth surveillance, and developmental assessment, drawing on national survey microdata, clinical records, and imaging or audio modalities. The review concludes by outlining implications for researchers, practitioners, and educators, and by highlighting priorities for stronger evidence—particularly external validation, transparent leakage safeguards, and evaluation aligned with clinical purpose.</p> Anas Tawalbeh, Maroning Useng, Sahidan Abdulmana Copyright (c) 2026 Journal of Applied Science and Emerging Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph01.tci-thaijo.org/index.php/JASCI/article/view/265307 Wed, 29 Apr 2026 00:00:00 +0700 The Distinct Aroma Characteristics Among Commercially Cultivated World Mango Varieties https://ph01.tci-thaijo.org/index.php/JASCI/article/view/267481 <p>Mango ranks among the most widely consumed tropical fruits worldwide, following bananas, oranges, and pineapples. At present, more than 1,000 mango cultivars have been identified; however, only a limited number are cultivated on a commercial scale in the global market. Prominent examples include ‘Alphonso’ (India), ‘Carabao’ (the Philippines), ‘Irwin’ and ‘Kent’ (United States), ‘Kensington Pride’ (Australia), and ‘Nam Dok Mai’ (Thailand). These cultivars are generally characterized by a balanced sweet–sour flavor profile and relatively low fiber content, although such traits are not unique to them and can also be observed in other varieties. Consequently, distinct aroma attributes are likely a key determinant of consumer preference, as discussed in this review.</p> Sompoch Noichinda, Kitti Bodhipadma, Chalermchai Wongs-Aree Copyright (c) 2026 Journal of Applied Science and Emerging Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph01.tci-thaijo.org/index.php/JASCI/article/view/267481 Wed, 29 Apr 2026 00:00:00 +0700 Greenhouse Gas Emission Assessment of Bottom Ash Block, Hemp and Pineapple Fibers Concrete Blocks https://ph01.tci-thaijo.org/index.php/JASCI/article/view/263964 <p>This study aims to assess the greenhouse gas emissions from concrete blocks in comparison to three alternatives: concrete blocks with 100% bottom ashes as a replacement of aggregate (BA100), concrete blocks mixed with 10% hemp (HF10), and concrete blocks mixed with 10% pineapple fibers (PF10) as additional materials by volume of sand. The assessment was evaluated based on the cradle-to-gate, which included the process of extracting and processing materials, transportation of materials to the concrete production plant, and concrete block production. The results found that concrete blocks 1 m<sup>3</sup> in size, 70 x 190 x 390 mm, weigh not more than 7 kg, according to the TIST 58-2560 Concrete. The compressive strength of the concrete blocks varies from 4.15 to 5.37 MPa, and their density is classified as that of a general concrete block aged 28 days. The greenhouse gas emissions for the general blocks, BA100, HF10, and PF10, were 194.86, 169.97, 202.45, and 202.56 kgCO<sub>2</sub>e, respectively. The key emission hotpot comes from raw materials (cement), accounting for 62-74%, followed by the concrete block manufacturing process at 26-36%. The replacement of bottom ash can contribute to efforts in reducing greenhouse gas emissions by 12.77%.</p> Maneerat Khemkhao, Keattisak Kongkeaw, Pimporn Aphichatabut, Apisedkorn Suwansaard, Vichai Domrongpokkaphan Copyright (c) 2026 Journal of Applied Science and Emerging Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph01.tci-thaijo.org/index.php/JASCI/article/view/263964 Wed, 29 Apr 2026 00:00:00 +0700 Neuroprotective Potential of CBD and Terpenes from Cannabis sativa L. (Hang Kra Rog Phu Phan ST1) on the Potentiation or Antagonism of Amyloid-β1-42-Induced Apoptosis in SH-SY5Y Neuroblastoma Cells https://ph01.tci-thaijo.org/index.php/JASCI/article/view/264081 <p> Dementia, particularly Alzheimer’s Disease (AD), is characterized by the extracellular accumulation of Amyloid-β (Aβ) and intracellular Tau hyperphosphorylation, both of which trigger neuroinflammation and neuronal apoptosis. This study investigated the efficacy of Cannabidiol (CBD) combined with three terpenes including α-Pinene, Linalool, and β-Caryophyllene as potential adjuvants to mitigate Aβ<sub>1-42</sub>-induced neurotoxicity. Using the MTT assay on SH-SY5Y neuroblastoma cells, the optimal non-toxic concentrations were determined to be 150 µM for CBD, α-Pinene, and Linalool, and 100 µM for β-Caryophyllene. Synergistic testing revealed that the combination of CBD with α-Pinene and CBD with Linalool significantly reduced cell mortality (p &lt; 0.01) when administered post-Aβ<sub>1-42 </sub>accumulation, demonstrating a potential curative effect. However, pre-treatment with these combinations failed to provide a preventive effect against subsequent Aβ<sub>1-42 </sub>insult. Notably, the combination of CBD with β-Caryophyllene, or the administration of more than two compounds simultaneously, resulted in increased cytotoxicity and significantly higher rates of cell death. These findings suggest that while certain cannabinoid-terpene combinations offer therapeutic potential, their application is limited by specific chemical interactions and timing. Further research into precise formulations and intervention windows is essential to develop safe and effective cannabis-based treatments for Alzheimer's Disease</p> Pathomporn Eamjai, Nuntachai Hanpramukkun, Chatchawan Singhapol Copyright (c) 2026 Journal of Applied Science and Emerging Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph01.tci-thaijo.org/index.php/JASCI/article/view/264081 Wed, 29 Apr 2026 00:00:00 +0700 Satisfaction Study Using Online Teaching Aids of Faculty Members in the Department of Agro-industrial, Food and Environment Technology https://ph01.tci-thaijo.org/index.php/JASCI/article/view/264671 <p>This study aimed to collect data regarding online teaching tools and the satisfaction of faculty members from the Department of Agro-Industrial, Food, and Environmental Technology, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand. The study encompassed 30 faculty members across three disciplines: 1) Agro-Industrial Technology, 2) Food Science and Technology, and 3) Environmental Science and Technology. Additionally, the study examined the grouping of online teaching tool usage in theoretical and practical courses. Data collection and statistical evaluation included frequency, mean, standard deviation, and one-way ANOVA analysis using IBM<sup>®</sup> SPSS<sup>®</sup> Statistics Version 28.0.0.0. The study's key findings revealed that there was no significant difference in satisfaction with online teaching tools between theoretical and practical courses. Faculty members from all three disciplines demonstrated similar levels of efficiency in utilizing these tools. The overall satisfaction with online teaching tools was found to be very high. However, when the tools were categorized by service provider, a statistically significant difference at P-Value &lt; 0.05 level was observed among professors. This difference could be attributed to the varying convenience and compactness of course content provided by each service provider.</p> Jirawan Bowornwongsathien Copyright (c) 2026 Journal of Applied Science and Emerging Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph01.tci-thaijo.org/index.php/JASCI/article/view/264671 Wed, 29 Apr 2026 00:00:00 +0700