SCOPUS 2025

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A CURRENT FORWARD-BACKWARD-FORWARD METHOD FOR INCLUSION PROBLEMS
(American Institute of Mathematical Sciences, 2025) Kunrada Kankam; Prasit Cholamjiak
This research presents the projection forward-backward-forward method based on two inertials. We combine linesearch and self-adaptive stepsize to select the stepsize in the proposed method. The weak convergence is established under mild assumptions without the assumptions on the Lipschitz constants. Finally, numerical experiments are performed, which explain the effectiveness of the proposed method. We provide practical applications in image inpainting problem. The results of our numerical analysis conclusively indicate that the proposed method exhibits greater efficiency than those previously recommended in literature. © 2025 American Institute of Mathematical Sciences. All rights reserved.
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.th
Anaplasmosis, 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.
A double inertial embedded modified S-iteration algorithm for nonexpansive mappings: A classification approach for lung cancer detection
(Elsevier B.V., 2025) Watcharaporn Yajai; Kunrada Kankam; Jen-Chih Yao; Watcharaporn Cholamjiak; W. Cholamjiak; Department of Mathematics, School of Science, University of Phayao, Phayao, 56000, Thailand; email: watcharaporn.ch@up.ac.th
This paper introduces a double inertial embedded modified S-iteration algorithm for finding a common fixed point of nonexpansive mappings in a real Hilbert space. A weak convergence theorem is established under suitable conditions involving control parameters. Three algorithms are directly obtained for addressing split equilibrium problems through the equivalence of nonexpansive mappings. An illustrative example in an infinite-dimensional space is provided to substantiate the proposed main algorithm. Furthermore, we highlight the practical application of these algorithms in lung cancer screening, where they are employed to optimize three different machine learning models, thereby potentially improving patient outcomes. The efficiency of the proposed algorithms is validated through comparative analysis with existing algorithms. © 2025
A modified inertial projected forward–backward algorithm for convex optimization problems
(Springer-Verlag Italia s.r.l., 2025) Kunrada Kankam; Papatsara Inkrong; Prasit Cholamjiak; P. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: prasit.ch@up.ac.th
The primary objective of this study is to establish the convergence theorem associated with the modified inertial projected forward–backward algorithm using line search techniques. Many applications in applied sciences can be modeled as constrained convex minimization problems. Our numerical experiments offer practical applications for resolving image deblurring issues. The results of our numerical analysis conclusively indicate that the proposed algorithms exhibit greater efficiency than those previously introduced in the literature. © The Author(s), under exclusive licence to Springer-Verlag Italia S.r.l., part of Springer Nature 2024.
Aroma profiles and potential odour-active compounds in Thai fish sauce produced from anchovies caught from three different coastal regions in Thailand
(Taylor and Francis Ltd., 2025) Wasana Wongngam; Thanaporn Pengjun; Apiniharn Phewpan; Chanchana Siripanwattana; Nattapon Deesom; Suwimon Keeratipibul; Thiranan Kunanopparat; T. Kunanopparat; Pilot Plant Development and Training Institute, King Mongkut’s University of Technology Thonburi, Bangkok, 126 Pracha Uthit Rd. Bangmod, Thung Khru, 10140, Thailand; email: thiranan.kun@kmutt.ac.th
Thai fish sauces produced from anchovies caught from three different coastal regions of Thailand [the western (WT), eastern (ET), and southern (ST)] had similar overall sensory aroma profiles with strong fishy and meaty odours followed by sweet, cheesy, sour and musty odours. The 3 fish sauces differed in the intensity levels of these 6 attributes. Fish sauce odourants were extracted by solvent extraction followed by solvent-assisted flavor evaporation (SAFE) and analyzed by gas chromatography-olfactometry (GC-O). Odour-active compounds of three fish sauces were analyzed using aroma extract dilution analysis (AEDA) with flavor dilution (FD) factor ≥1024. There were 18 potential odour-active compounds which exhibited FD factor ≥128 in at least one of the studied fish sauces. Differences in the FD factors of these odourants between each fish sauce were found. These results suggested that anchovies caught from different regions contributed to the different sensory profiles of the fish sauces. © 2025 The Author(s). Published with license by Taylor & Francis Group, LLC.
Avatar influence: How form realism and message appeal shape Generation Z's travel intentions
(Elsevier Ltd, 2025) Zhen Su; Biman Lei; Shichang Liang; Tanaporn Khotphat; Qi Hu; S. Liang; Business School, Guangxi University, Nanning, No. 100 East Daxue Road, 530004, China; email: liangshch@gxu.edu.cn
Although avatars have gained popularity in virtual reality marketing, research on their influence on Generation Z consumers' travel intentions remains limited. Drawing on the Construal Level Theory and the Elaboration Likelihood Model, this study examined the congruent effects of avatar form realism and message appeal on Generation Z's travel intentions through three experimental scenarios. The findings indicate that high-form realism avatars with rational appeal and low-form realism avatars with emotional appeal significantly boost travel intentions. These effects are mediated by believability and affect intensity and are more pronounced among individuals with low behavioral realism expectations. This study enhances our understanding of avatar-mediated persuasion in tourism marketing by linking core avatar attributes to consumer decision-making processes. These insights enable us to leverage the visual and verbal components of avatars to promote destinations that attract young travelers. © 2025 The Authors
Bielecki-Ulam stability of a hammerstein-type difference system
(Elsevier B.V., 2025) Gul Rahmat; Sohail Ahmad; Muhammad Sarwar; Kamaleldin Abodayeh; Saowaluck Chasreechai; Thanin Sitthiwirattham; M. Sarwar; Department of Mathematics, University of Malakand, Khyber Pakhtunkhwa, Pakistan; email: sarwar@uom.edu.pk
In this study, we investigate the Bielecki-Ulam (B-U) stabilities of two forms of Hammerstein-type difference systems (HT-DS). Specifically, we consider the systems: (0.1){xm+1−xm=M¯mxm+F¯(m,xm,xhm)[∑[j=0][m]G¯(m,j)H¯(j,xj,xhj)]x0=b0,and (0.2){xm+1−xm=M¯mxm+F¯(m,xm,L¯xm,J¯xm)x0=b0,by establishing conditions under which a unique solution exists. We derive sufficient conditions for the existence and uniqueness of solutions that satisfy B-U stability criteria. To demonstrate the theoretical findings, we provide an illustrative example that confirms the validity of our results. • Purpose: In this study, we examine the Bielecki-Ulam (B-U) stabilities of two forms of Hammerstein-type difference systems (HT-DS) to understand the conditions necessary for solution uniqueness and stability. • Methodology: We analyze two specific systems characterized by distinct recursive nonlinear structures and employ the Banach contraction principle under the Bielecki norm to establish stability results. The theoretical development involves verifying boundedness and Lipschitz continuity of the nonlinear terms and ensuring that the involved operators satisfy contractive conditions. • Findings: We derive sufficient conditions (outlined in Theorems 2 and 3) under which the systems possess unique solutions and are shown to be Bielecki-Ulam stable (Theorems 4 and 5). Specifically, these conditions include boundedness of system coefficients, Lipschitz continuity of nonlinear mappings, and the fulfillment of a contraction inequality using the Bielecki norm. Illustrative examples are provided to confirm the applicability of the results. © 2025 The Author(s)
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 Rungsardthong
Coffee 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.
Development of an IFOAM-compliant Prototype for Organic Chili Pepper Production: Innovations in Sustainable Cultivation and Pest Management
(University of Kassel, 2025) Rungkiat Kawpet; Ravee Ganeshaborirak; R. Ganeshaborirak; Program in Agriculture, Faculty of Agricultural Production, Mae Jo University, Thailand; email: raveeganesha@gmail.com
The International Federation of Organic Agriculture Movement (IFOAM) indicates that the detrimental impact of pesticide residues in chilli pepper production for consumption prompted the creation of a prototype approach for cultivating organic chilli peppers to safeguard safety and human health. Researchers conducted an inquiry on a chilli pepper crop in Lampang province and examined the simulation of organic chilli growing in an IFOAM-certified region at the Biological Control Technology Learning Centre, Maejo University, Chiang Mai, Thailand. The analysis effectively optimised organic chilli pepper output to comply with regulations by meticulous selection of planting materials, fertilisers, and pest management techniques. The research was carried out in Lampang province and at the IFOAM-certified site at Maejo University, Chiang Mai, Thailand. The inquiry effectively adhered to organic standards through the selection of planting materials, fertilisers, and pest management techniques. The prototype technique involved utilising certified seeds, organic fertilisers, Trichoderma sp. for pest management, and natural predators such as stink bugs. The objective was to attain a plant density of 5,000-6,000 plants per rai. Researchers controlled insect pests by employing stink bugs to manage chilli pepper cutworms 7–14 days post-transplantation, thereafter applying Beauveria bassiana and neem extract solution at 21 and 28 days after transplantation, respectively. The prototype yielded chilly paper at 1,680 ± 4.27 kg/rai, comparable to the regular manufacturing schedule. The study found a favourable correlation between pest control approach and pest epidemic number (R2 = 0.86) as well as plant disease (R2 = 0.53). Simultaneously, the quantity of insect epidemics and plant diseases had a positive link with crop yield, with R2 values of 0.65 and 0.67, respectively. The research established a prototype that presents a sustainable, pesticide-free production technique for chilli peppers, promoting the green economy and furnishing a practical guidance for farmers to implement organic methods. © (2025), (University of Kassel). All rights reserved.
Effect of the Variation of Solid/Liquid Content in Food on the Sterilizing Time and Physical Properties of Chicken and Turkey Berries in Green Curry in Retort Pouch
(Taylor and Francis Ltd., 2025) Teeranuch Chysirichote; Weawwan Wattanasiriwit; Kamontip Ploykrachang; Teerin Chysirichote; T. Chysirichote; Department of Food Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 1 Chalongkrung 1 Rd, Ladkrabang, Thailand; email: teerin.ch@kmitl.ac.th
When industrial sterilizing is being done on a large scale, retort pouches are typically loaded with solid components first, followed by liquid ones. The error of filling steps occurs before the sterilization procedure is feasible. The curry with chicken and turkey berries was chosen as the food protocol to be studied. The food’s solid/liquid ratio was tested, from 0.93 to 4.49. The process time was influenced by the heat capacity ratio of the solid and liquid, but it was not considerably affected by the solid/liquid ratio. As a result, the process time had an impact on the texture and color of the meat but had no effect on the texture of the vegetables for process periods between 5 and 12 min (F0 = 4). The process time was earlier researched; however, the results of this study were used to roughly estimate the process time in the instance of the F0. © 2023 Taylor & Francis Group, LLC.
Effects of traditional Thai folk dance combined with cognitive stimulation program on behavior and cognition among older adults with cognitive decline: A randomized controlled trial
(2025) Panawat Sanprakhon; Wachira Suriyawong; Natsala Longphasuk; Natsuda Khatichop; Churai Arpaichiraratana; Sresuda Wongwiseskul; Peerayut Rattanaselanon; Noppamas Pipatpiboon; Papan Thaipisuttikul
BACKGROUND: Older adults with mild behavioral impairment (MBI) are at the higher risk of developing dementia compared to those without MBI, leading to decreased quality of life (QoL). Addressing MBI in older adults provides valuable opportunities to prevent dementia. OBJECTIVES: This study aimed to determine the effects of traditional Thai folk dance combined with a cognitive stimulation program on MBI, QoL, subjective cognitive decline (SCD), and cognitive functioning in older Thai adults. DESIGN: Single-blinded, two-armed, randomized controlled trial, with a three-month follow-up period. SETTING: Outpatient chronic disease clinics at two districts in Suphan Buri province, Thailand. PARTICIPANTS: One-hundred twenty-eight older adults with MBI were randomly assigned to either the experimental (n = 64) and cognitive education control group (n = 64). INTERVENTION: The 14-session, 7-week traditional Thai folk-dance program combined with cognitive stimulation focused on enhanced moderate intensity physical activity and cognitive stimulation engagement to improve MBI of older adults. MEASUREMENTS: The primary outcome was MBI assessed using Mild Behavioral Impairment Checklist. Secondary outcomes were QoL, SCD, and cognitive tests of memory and executive functions. RESULTS: Compared to the control group, participants in the experimental group demonstrated significantly reduced MBI (p <.01), improved QoL (p <.01), decreased SCD (p <.01), and enhanced cognitive functioning (p <.01) after the 7-week intervention and at the 12-week follow-up. CONCLUSION: The traditional Thai folk dance combined with cognitive stimulation improved outcomes related to early signs of dementia and enhanced the overall QoL of older adults. Copyright © 2025 The Authors. Published by Elsevier Masson SAS.. All rights reserved.
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.th
This 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).
Existence, uniqueness and controllability results of nonlinear neutral implicit ABC fractional integro-differential equations with delay and impulses
(American Institute of Mathematical Sciences, 2025) Sivaranjani Ramasamy; Thangavelu Senthilprabu; Kulandhaivel Karthikeyan; Palanisamy Geetha; Saowaluck Chasreechai; Thanin Sitthiwirattham; S. Ramasamy; Department of Mathematics, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, 641 407, India; email: sivaranjanirphd@gmail.com; S. Chasreechai; Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, 10800, Thailand; email: saowaluck.c@sci.kmutnb.ac.th
In this article, the necessary and sufficient conditions for the existence and uniqueness of the mild solutions for nonlinear neutral implicit integro-differential equations of non-integer order 0 < α < 1 in the sense of ABC derivative with impulses, delay, and integro initial conditions were established. The existence results were derived using the semi-group theory, measures of non-compactness, and the fixed-point theory in the sense of Arzelà–Ascoli theorem and Schauder’s fixed-point theorem. We analyzed the controllability results of the proposed problem by incorporating the ideas of semi-group theory and fixed-point techniques. The Banach contraction principle was used to derive the uniqueness and controllability of the proposed problem. We provide an example to support the theoretical results. © 2025 the Author(s), licensee AIMS Press.
Exploring Water Hyacinth for Sustainable Sound Absorber
(Korean Society of Wood Science Technology, 2025) Siwarut Jullaprom; Sorasutee Buapool; Jantharat Wutisatwongkul; S. Buapool; Department of Sustainable Industrial Management Engineering, Faculty of Engineering, Rajamangala University of Technology Phra Nakhon, Bangkok, 10800, Thailand; email: sorasutee.b@rmutp.ac.th
The construction industry has increasingly emphasized the importance of sustainable materials. These sustainable materials offer insights into the development of effective and ecofriendly acoustic materials. This study explored the potential of water hyacinths for sound absorption performance. An impedance tube test was conducted to analyze the sound absorption coefficient. The specimens were fabricated by spraying dried water hyacinth stalks with a polyvinyl alcohol adhesive, allowing them to dry and then cutting them into different thicknesses for measurement. A systematic analysis revealed that the sound absorption coefficients improved with increasing thickness and air-gap depth. The specimen reached its highest sound absorption coefficient value of 0.73 at 500 Hz with a thickness of 10 mm and an air gap depth of 20 mm. A greater thickness significantly enhanced the sound absorption, and additional air-gap depths further improved it. These factors correlated with higher noise reduction coefficient values (0.24 to 0.41), highlighting water hyacinth's suitability as a sound-absorbing material. Water hyacinth offers excellent sound absorption and aesthetic value. © 2025 The Korean Society of Wood Science & Technology.
From coconut to papaya: A study of sensory and nutritional qualities in Thai dessert
(Malque Publishing, 2025) Chaiyasit Punfujinda; Sermsri Songnearm; Paponpat Pattarathitiwat; Apidech Pongprajak; Aroonwan Atthatham; Dusit Bulan; Rath Chombhuphan; Amornrat Anunvrapong; Sirinthip Suttapong; Sawai Boukaew; Krittin Chumkaew; K. Chumkaew; Faculty of Home Economics Technology, Rajamangala University of Technology Thanyaburi, Pathum Thani, 12110, Thailand; email: krittin_c@rmutt.ac.th
Thai desserts are renowned for their unique characteristics, with coconut being a crucial ingredient. However, the limited availability and high cost of mature coconut pose challenges for dessert production. This study aimed to investigate green papaya substitution in caramelized grated coconut (Na Kra Cheek) and evaluate its properties and application. Different substitution levels (0%, 25%, 50%, 75%, and 100% w/w) were analyzed for sensory qualities, nutritional properties, and consumer acceptance through expert panels (n=15) and consumer testing (n=50). The results showed that 50% substitution maintained sensory acceptance comparable to the control (p≥0.05) in appearance, taste, texture, and overall acceptance while reducing protein content from 2.15% to 1.23%, fat content from 13.70% to 6.83%, and total carbohydrate content from 64.80% to 58.31%. The application in sticky rice dessert demonstrated no significant differences (p≥0.05) in consumer acceptance between control and 50% substitution formulas in all characteristics including appearance, color, smell, taste, texture, and overall acceptability, with overall acceptability scores of 7.50±0.78 and 7.28±0.85, respectively. Production costs decreased by 36.24% with 50% substitution. These findings suggest that green papaya can effectively substitute for mature coconut up to 50% in Thai desserts, offering cost-effective and healthier alternatives while maintaining traditional qualities. This innovation provides practical solutions for addressing both availability and cost challenges in Thai dessert production while potentially offering more nutritious options to consumers. The similarity in physical properties and the year-round availability of green papaya make this a viable approach for preserving Thai culinary traditions while addressing contemporary economic and nutritional considerations. Copyright (c) 2025 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Gibberellic Acid and Salicylic Acid Improved Atrazine and Pyrethroid Pesticide Phytoremediation Efficiency by Pennisetum purpureum cv. Mahasarakham in Soil
(Taylor and Francis Ltd., 2025) Khanitta Somtrakoon; Waraporn Chouychai; Wilailuck Khompun; Chonlada Dechakiatkrai Theerakarunwong; Piyaporn Waranusuntigul; K. Somtrakoon; Department of Biology, Faculty of Science, Mahasarakham University, Kantharawichai, Maha Sarakham, 44150, Thailand; email: khanitta.s@msu.ac.th
Many pesticides used in agriculture increase their contamination in agricultural areas and must be remediated from the soil. Sweet grass (Pennisetum purpureum cv. Mahasarakham), a cultivar of Napier grass with plant growth regulator application, was promised to increase pesticide removal from the soil. The cutting of sweet grass soaking with 0.01 mg/L gibberellic acid or 100 mg/L salicylic acid for 24 h before planting in pyrethroid and atrazine co-contaminated soil for 20 days. The results showed that both plant growth regulators could stimulate shoot and root growth of sweet grass in pyrethroid and atrazine co-contaminated soil. Also, both plant growth regulators could increase chlorophyll a and total chlorophyll content in sweet grass leaves, but there was no effect on the carotenoid, proline, and relative water content of sweet grass. Soaking in salicylic acid was more effective than soaking in gibberellic acid for promoting shoot length and dry weight. Sweet grass planting increased pyrethroid and atrazine removal from the soil, and gibberellic acid soaking was better than other treatments for enhancing permethrin (71.9%) removal by Sweet grass from the soil. The bioconcentration factor for all pesticides was less than 1, indicating a limited accumulation of pyrethroid and atrazine in sweet grass tissue. © 2025 Taylor & Francis Group, LLC.
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.th
Phellinus 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 cancer
Improving Fire Extinguishing Properties of Class B Fire with Cellulose-Hydrogel from Water Hyacinth (Eichhornia crassipes) Extract
(Faculty of Engineering, Universitas Indonesia, 2025) Surachat Sinworn; Nuttabodee Viriyawattana; N. Viriyawattana; Department of Occupational Health and Safety, Faculty of Science and Technology, Suan Dusit University, Bangkok, Bangplad District, 10700, Thailand; email: nuttabodee_vir@dusit.ac.th
Cellulose can be processed into a hydrogel that enhances performance in extinguishing Class B (oil) fire. This hydrogel has a significant increase in viscosity after exposure to high temperatures. As the temperature increases, the viscosity rises, enhancing the ability of hydrogel to coat the fuel surface and effectively prevent the production of flammable vapor. Therefore, this study aimed to synthesize cellulose-based hydrogel by extracting water hyacinth to obtain cellulose in the form of methylcellulose (MC) powder. Properties of cellulose hydrogel were tested using Fourier Transform-Infrared Spectrometer (FT-IR), Scanning Electron Microscope (SEM), Energy Dispersive X-Ray Spectroscopy (EDX), viscosity, Thermogravimetric Analysis (TGA), and gel fraction analysis. To define its performance, fire extinguishing efficiency tests were performed by comparing mono-ammonium phosphate (MAP) or ABC (control) and MAP+ cellulose hydrogel (treatment). The data obtained were the radiation temperature, the time required to extinguish fire, and characteristics of the fuel coating during combustion. The results showed that fire extinguishing performance for Class B fire, in terms of radiation temperature, was lower for MAP+cellulose Hydrogel at 284.67±39.28°C, compared to MAP at 368.10±51.46°C. Extinguishing time for the MAP+ Cellulose Hydrogel was 4.19 seconds faster than only MAP. Additionally, the coating properties improved as the substance transitioned from powder to gel, effectively coating the fuel at high temperatures. This was consistent with the results of the Gel Fraction Analysis and TGA, which prevented fire spread and improved flame retardancy. © (2025), (Faculty of Engineering, Universitas Indonesia). All Rights Reserved.
In vitro Antioxidant, Anti-Inflammatory, and Wound Healing Properties of Aloe Vera Infused with Canola Oil for Possible Application in Skin Cosmetics
(Research and Development Institute Suan Dusit University, 2025) Khwunjit Itsarasook; Piyanuch Prompamorn; Jittarawadee Tanghiranrat; Amornrat Srisukong; Orapin Komutiban; Woraphot Haritakun; Kanlayaporn Chantree; K. Itsarasook; Department of Chemistry, Faculty of Science, Ramkhamhaeng University, Bangkok, 10240, Thailand; email: Khwunjit.its@hotmail.com
This research investigates the antioxidant, anti-inflammatory, and wound-healing properties of Aloe vera oil, along with its cytotoxic effects on normal human dermal fibroblasts (NHDF), particularly in the context of its potential use as a natural antioxidant in skincare formulations. A. vera oil was extracted using an infusion method with canola oil, and its properties were thorough characterized. The concentration of aloin and cycloartenol in the A. vera oil were measured using high-performance liquid chromatography (HPLC). The resulted indicated that A. vera oil exhibited no cytotoxicity towards NHDF cells. Additionally, the oil demonstrated antioxidant activity, as evidenced by its ability to scavenge 2,2-diphenyl-1-picrylhydrazyl (DPPH) radicals, and its reducing potential assessed through free radical scavenging activity (FRAP) assays. Regarding its anti-inflammatory properties, the A. vera oil at a specific concentration showed no cytotoxic effects on RAW 264.7 macrophage cells. Notably, its potent anti-inflammatory effects significantly (p<0.05) reduced nitric oxide (NO) productions in RAW 264.7 macrophage cells stimulated by lipopolysaccharide (LPS), compared to the LPS-treated cells group. Moreover, NHDF cells treated with A. vera oil exhibited a statistically significant (p<0.05) improvement in wound closure area in a scratch wound assay, indicating enhanced cell migration. Collectively, these findings highlight the antioxidant, anti-inflammatory, and wound-healing properties of A. vera oil, underscoring its potential as an eco-friendly and beneficial ingredient for cosmetic skincare products. © 2025, Research and Development Institute Suan Dusit University. All rights reserved.
Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection
(Institute of Electrical and Electronics Engineers Inc., 2025) Kumaresh Pal; Kumari Namrata; Ashok Kumar Akella; Manoj Gupta; Pannee Suanpang; Aziz Nanthaamornphong; M. Gupta; SOS-Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Department of Electrical Engineering, Bilaspur, Chhattisgarh, 495009, India; email: manojgupta35@yahoo.co.in; A. Nanthaamornphong; Prince of Songkla University, Phuket Campus, College of Computing, Phuket, 83120, Thailand; email: aziz.n@phuket.psu.ac.th
A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the power system and human lives. In this paper, a novel machine learning islanding detection method (IDM) based on image classification utilizing the histogram of oriented gradient (HOG) feature is proposed. In particular, the set of parameters are utilized, namely total harmonic distortion (THD) of both three phase currents and voltages, and rate of change of negative sequence voltage, are first transformed into time-frequency representations (i.e., spectrograms via the short time Fourier transform, and scalograms through continuous wavelet transform). Then, the HOG features are extracted from these images and used to train the machine learning (ML) algorithms to distinguish between occurrences of islanding and non-islanding events. Performance metrics including F1 score, recall, accuracy, precision and misclassification error are employed in the assessment process. Numerical results show that our image-based detector achieves faster detection times and higher detection accuracy versus state-of-art methods, thus confirming the validity of such approach for identifying islanding events. © 2013 IEEE.

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