SCOPUS 2025
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Item A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases(Springer Nature, 2025) Veerayuth Kittichai; Morakot Kaewthamasorn; Apinya Arnuphaprasert; Rangsan Jomtarak; Kaung Myat Naing; Teerawat Tongloy; Santhad Chuwongin; Siridech Boonsang; S. Boonsang; Department of Electrical Engineering, School of Engineering, King MongkutÕs Institute of Technology Ladkrabang, Bangkok, Thailand; email: siridech.bo@kmitl.ac.thAnaplasmosis, which is caused by Anaplasma spp. and transmitted by tick bites, is one of the most serious livestock animal diseases worldwide, causing significant economic losses as well as public health issues. Anaplasma marginale, a gram-negative intracellular obligate bacterium, can cause disease in cattle and other ruminants. Because of the insufficient quality of the slides, a microscopic diagnostic procedure is time-consuming and challenging to diagnose. Intra- and inter-rater variation is frequently imposed on by technicians who are underqualified and unexperienced. Alternatively, algorithms could support local employees in tracking disease transmission and quick action, especially in Thailand where this cattle disease is common. As a result, the study intends to create an automated tool based on a deep neural network linked with an image-retrieval procedure for recognizing infections in microscopic pictures. The Resnext-50 model, which serves as the embedding spaceÕs backbone and is optimized by Triplet-Margin loss, outperforms, with averaged accuracy and specificity ratings of 91.30 percent and 92.83 percent, respectively. The modelÕs performance was also improved by a fine-tuned procedure between k-nearest neighbor and its normalized distance of each data point, including precision of 0.833 ± 0.134, specificity of 0.930 ± 0.054, recall of 0.838 ± 0.118, and accuracy of 0.915 ± 0.025, respectively. Five-fold cross-validation confirms that the trained model using the optimal k-nearest neighbor (kNN) for the image-based retrieval system, involving 12 images, prevents overfitting via dataset variations indicating areas under the receiver operating curve rankings ranging from 0.917 to 0.922. The image retrieval technique demonstrated in this research is a prototype for a variety of applications. The findings may aid in the early diagnosis of anaplasmosis infections in remote areas without access to veterinary care or costly molecular diagnostic tools. © The Author(s) 2024.Item Characteristic and flavor profiles of specialty Arabica coffee derived from fermentation with protease, at different conditions(EDP Sciences, 2025) Intugon Wongyai; Khomson Suttisintong; Benjawan Thumthanaruk; Tita Foophow; Tamaki Yasutomo; Vilai RungsardthongCoffee is one of the most popular beverages in the world. Development of coffee beans with specific flavor profiles can enhance the quality and value of the product. In this study, the flavor profiles of Arabica coffee (Coffea arabica L.) beans treated with protease, at different enzyme loading, time, and pH, were investigated using gas chromatography tandem mass spectrometry (GC-MS/MS). The coffee beverages were evaluated for their sensory characteristics by Q-Grader (professional coffee taster). The coffee beans obtained from protease hydrolysis exhibited specific and unique volatile compounds or flavor profiles than the control (coffee beans without enzyme loading). Specific volatile profiles in the enzymetreated coffee beans, such as isopropenyl acetate, 2-acetyl-5-methylfuran, and delta-dodecalactone were identified. Coffee beverages obtained from roasted coffee beans from protease fermentation with 0.84% protease, pH 6.2 at 41 h (R-FP5), and 1.00% protease, pH 5.0 at 30 h (R-FP8) were evaluated as specialty coffees (a score of 79.75 points), showing their specific aroma profiles as fruity, spice, mango, dry fruit, ripe fruit, nutty and tamarind notes. The present work revealed that enzymatic fermentation of the green Arabica coffee beans is a promising method for the modulating and improving of specialty coffee with specific acceptable flavors and aromas. © The Authors, published by EDP Sciences, 2025.Item Enhancement of Compressive Strength in Cement Admixed Bangkok Clay with Glass Fiber and Bottom Ash for Eco-Friendly Functional Road Materials(Semnan University, Faculty of Mechanical Engineering, 2025) Sakol Pochalard; Chalermpon Wungsumpow; Keeratikan Piriyakul; K. Piriyakul; Department of Civil and Environmental Engineering Technology, College of Industrial Technology, King MongkutÕs University of Technology North Bangkok, Bangkok, Thailand; email: keeratikan.p@cit.kmutnb.ac.thThis article aims at the development of new eco-friendly functional road materials, examining the optimum mixing ratio of cement, bottom ash, glass fibers, and the mechanical properties of soil-cement subbase (pavement) materials. The optimum ratio of cement, bottom ash, and glass fibers was determined for the mixing of soil-cement as eco-friendly functional road materials. This study was carried out by using the unconfined compression test. All soil-cement samples were mixed at the liquid limit of 88%, with varying glass fiber content between 0.5, 1.0, 1.5, 2.0, and 2.5% by volume respectively. The glass fiber lengths were used 3, 6, and 12 mm. The OPC content was added between 2, 4, 6, 8, and 10%, respectively by dry weight. The bottom ash content was 5, 10, 15, 20, 25 and 30% by volume respectively. All soil-cement samples were cured for 7, 14, 28, 60 and 90 days. It was found that the optimum OPC soil-cement content mixture was around 8-10% according to ACI 230.1R-09 standard which requires OPC of 10-16% and the optimum fiber content was between 1.0 and 1.5%. The best UCS result for glass fiber length was 12mm. Finally, the optimum bottom ash content was 5-10%, and the recommended curing period should exceed 28-90 days. © 2025 The Author(s).Item Growth and bioactivity of Phellinus linteus in the mushroom farm, at different cultivation times(EDP Sciences, 2025) Supapitch Jitchum; Lueacha Tabtimmai; Weerachon Phoohinkong; Benjawan Thumthanaruk; Xiaoshuan Zhang; Khomson Suttisintong; Vilai Rungsardthong; V. Rungsardthong; Department of Agro-Industrial, Food and Environmental Technology, Faculty of Applied Science, King Mongkuts University of Technology North Bangkok, 10800, Thailand; email: vilai.r@sci.kmutnb.ac.thPhellinus linteus (PL) growth depends on environmental conditions such as light intensity, humidity, temperature, and CO2. This research investigated the growth of PL and their bioactive activities in the PL fruiting body from different locations of Top, Middle, and Bottom zones in the mushroom farm, harvested at different cultivation times, up to 18 months. Results showed that PL weights increased from 9.35 g/fruiting body to 46.89 g/fruiting body at 18 months. PL growths at each location were not significantly different during 12 months, while a bit higher growth of PL at the Bottom zone was observed at 18 months. The temperature during the cultivation was 30-35 C with high humidity (83-100%). The Bottom zone indicated the higher CO2 than the other two zones. The bioactivity in PL extracts from the cultivation during at 3-18 months showed a non-significant difference in both TPC, and antioxidant activities analyzed by DPPH. PL extract presented an anti-inflammatory effect comparable to the medicine diclofenac. The potential applications of PL extract inhibit cancerItem New Forms of the Open Newton-Cotes-Type Inequalities for a Family of the Quantum Differentiable Convex Functions(University of Maragheh, 2025) Jarunee Soontharanon; Muhammad Aamir Ali; Shahram Rezapour; Muhammad Toseef; Thanin Sitthiwirattham; S. Rezapour; Department of Mathematics, Azarbaijan Shahid Madani University, Tabriz, Iran; email: rezapourshahram@yahoo.caThe main objective of this paper is to establish some new inequalities related to the open Newton-Cotes formulas in the setting of q-calculus. We establish a quantum integral identity first and then prove the desired inequalities for q-differentiable convex functions. These inequalities are useful for determining error bounds for the open Newton-Cotes formulas in both classical and q-calculus. This work distinguishes itself from existing studies by employing quantum operators, leading to sharper and more precise error estimates. These results extend the applicability of Newton-Cotes methods to quantum calculus, offering a novel contribution to the numerical analysis of convex functions. Finally, we provide mathematical examples and computational analysis to validate the newly established inequalities. © 2025 University of Maragheh. All rights reserved.Item Preparation and characterization of dextran-modified ZnO and Cu-doped ZnO nanohybrid material for enhanced antimicrobial delivery and activity(Elsevier Ltd, 2025) Tita Foophow; Pipat Lertkowit; Udomsak Kitthawee; Weerachon Phoohinkong; W. Phoohinkong; Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: weerachon_pho@dusit.ac.thZinc oxide (ZnO) nanoparticles are widely used in various applications, particularly in antimicrobial products. Efforts to enhance their performance and efficacy, including copper (Cu) doping and incorporating natural polymers. In this study, dextran-modified ZnO and Cu-doped ZnO nanohybrids were synthesized and characterized using exodextran isolated from Leuconostoc mesenteroides TISTR 473. Characterization results showed that dextran binds to the surface of ZnO particles through C[sbnd]O_Zn and C-OH_O interactions, particularly at oxygen vacancy sites. The incorporation of dextran improved the antibacterial efficacy of ZnO and Cu-doped ZnO nanoparticles against bacteria related to fruit and vegetable spoilage, including gram-positive Bacillus altitudinis and gram-negative Achromobacter mucicolens. These findings highlight the potential of dextran-modified ZnO nanomaterials in enhancing antimicrobial activity and biocompatibility for biomedical applications, as well as their use in food packaging to extend shelf life. © 2024 Elsevier LtdItem Sequential green extraction, identification, and encapsulation of bioactive compound from Phellinus linteus fruiting body(Elsevier B.V., 2025) Tita Foophow; Sittiruk Roytrakul; Vilai Rungsardthong; Weerachon Phoohinkong; W. Phoohinkong; Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: weerachon_pho@dusit.ac.thPhellinus linteus, a traditional medicinal mushroom, is highly valued for its health benefits. The commercially available fruiting body of Phellinus linteus (PL) was extracted and characterized to elucidate its potential nutritional bioactivity. A sequential extraction method was employed, starting with conventional ethanol extraction (PL-E), followed by mechanical ball-mill assisted ethanol extraction (PL-B) or supercritical CO2 cosolvent (PL-C), resulting in the identification of 19, 9, and 10 tentative compounds, respectively. The extracts comprised non-polar compounds, including triterpenoids and sterols in PL-E, and polyphenols and long-chain fatty acids in PL-B and PL-C. Hispidin and hispolon were found exclusively in PL-E. The PL-E demonstrated anticancer potential against MCF-7 cells, while the PL-C showed the highest activity against MCF-7 and HT-29 cells, suggesting that this high bioactivity fraction may be a promising candidate for anticancer studies. The PL-E, which exhibited high yield and bioactivity with various bioactive compounds, underwent complexation encapsulation with _-cyclodextrin. This study also proposes a potential green method to enhance these compounds' bioactivity value and bioaccessibility, supporting their development for food, nutraceutical, and pharmacological applications. © 2025Item The effect of metaverse technology on multicultural learning: Strengthening the social attitudes, cultural awareness and critical thinking skills of secondary school students(Asian Online Journal Publishing Group, 2025) Prisana Mutchima; Yutthapong Leelakitpaisarn; Bunpod Pijitkamnerd; Nattha Phiwma; Saisuda Pantrakool; S. Pantrakool; Suan Dusit University, Bangkok, Thailand; email: Saisuda_pan@dusit.ac.thThe purpose of this study is to investigate the effect of metaverse technology on multicultural learning to strengthen the social attitudes, cultural awareness and critical thinking skills of secondary school students. Methodology: A quasi-experimental research method was used in this study to equally divide 80 secondary school students in the Dusit district, under the Office of the Basic Education Commission, Bangkok, Thailand into an experimental group and a control group. The experiment of the metaverse on multicultural learning in an eight week teaching period comprised four components: virtual cultural exploration, role-playing, discussions and reflections, and collaborative projects. The results showed a significant difference in the average outcomes between the groups. In conclusion, the major findings include three dimensions: 1) Students who learn through metaverse technology have a higher learning progress than students in traditional classrooms. 2) Social attitudes and critical thinking skills from utilizing metaverse technology in learning are both statistically significant. 3) The overall assessment proves that metaverse technology improves students' learning outcomes. Therefore, this study supports the integration of metaverse technology into education, especially in developing thinking skills and social competence in multicultural learning. The metaverse supported teachersÕ instruction to enhance studentsÕ social, cultural, and critical thinking skills. © 2025 by the authorsItem Three-step projected forwardÐbackward algorithms for constrained minimization problem(Springer Nature, 2025) Kunrada Kankam; Muhammad Aslam Noor; Prasit Cholamjiak; P. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: prasitch2008@yahoo.comWe design new projective forwardÐbackward algorithms for constrained minimization problems. We then discuss its weak convergence via a new linesearch that the hypothesis on the Lipschitz constant of the gradient of functions is avoided. We provide its applications to solve image deblurring and image inpainting. Finally, we discuss the optimal selection of parameters that are proposed in algorithms in terms of PSNR and SSIM. It reveals that our new algorithm outperforms some recent methods introduced in the literature. © The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2024.