SCOPUS 2024
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Item A Bibliometric Analysis of Keywords of HyFlex Learning for the English Language Learning Skills of Teacher Students(School of Liberal Arts, King Mongkut's University of Technology Thonburi, 2024) Thip Khumyoo; Niroumon Suwannasri; Akkrawat Wongthitikun; Jira Jitsupa; Jittree Jampeetong; J. Jitsupa; Faculty of Education, Suan Dusit University, Thailand; email: jira_jit@dusit.ac.thListening, speaking, reading, and writing are important skills in English language learning. However, some students are not successful in learning English due to several factors. The model for improving the English learning skills of students is essential. However, except for the HyFlex learning model, no suitable model for learners has been found following the new normal. This research, therefore, identify the bibliographic keywords of HyFlex learning for the English learning skills of teacher students. According to a total of 465 documents published in the Scopus database, 40 articles met the research inclusion criteria and keywords related to HyFlex learning could be used to guide the development of the model of English language learning skills of students. Findings, the keywords of HyFlex learning for the English learning skills of teacher students 42 keywords related to Hyflex learning that clustered into seven categories: Higher education, Learning environment, Teaching and learning model, Digital technology for learning, Teacher, Student, and English language. © 2024, School of Liberal Arts, King Mongkut's University of Technology Thonburi. All rights reserved.Item A new Approach of Generalized Fractional Integrals in Multiplicative Calculus and Related Hermite-Hadamard-Type Inequalities with Applications(Walter de Gruyter GmbH, 2024) Muhammad Aamir Ali; Michal Fe_kan; Chanon Promsakon; Thanin Sitthiwirattham; M. Fe_kan; Department of Mathematical Analysis and Numerical Mathematics, Comenius University in Bratislava, Bratislava, Mlynsk‡ dolina, 842 48, Slovakia; email: michal.feckan@fmph.uniba.skThe primary goal of this paper is to define Katugampola fractional integrals in multiplicative calculus. A novel method for generalizing the multiplicative fractional integrals is the Katugampola fractional integrals in multiplicative calculus. The multiplicative Hadamard fractional integrals are also novel findings of this research and may be derived from the special situations of Katugampola fractional integrals. These integrals generalize to multiplicative Riemann-Liouville fractional integrals and multiplicative Hadamard fractional integrals. Moreover, we use the Katugampola fractional integrals to prove certain new Hermite-Hadamard and trapezoidal-type inequalities for multiplicative convex functions. Additionally, it is demonstrated that several of the previously established inequalities are generalized from the newly derived inequalities. Finally, we give some computational analysis of the inequalities proved in this paper. © 2024 Mathematical Institute Slovak Academy of Sciences.Item A perception of COVID-19 and self-protection behavior of Thai people in rural communities(Kasetsart University, 2024) Pragai Jirojanakul; Boonsong Supradith; Churai Arpaichiraratana; Atcharee Chandanachulaka; B. Supradith; Agrarajakumari College of Nursing, Chulabhorn Royal Academy, Bangkok, 10210, Thailand; email: boonsong.sup@cra.ac.thThis research was aimed to (1) study the perception of COVID-19 of Thai people in rural communities; (2) compare their perception among sexes and age groups using Q-methodology; and (3) to study their self-protection behaviors and the relationships of their COVID-19 perceptions and self-protection behaviors. The study process comprised (1) three focus group interviews, and (2) the data collection from 64 samples with balanced numbers of sexes and age groups. Three sets of research instruments were used (1) open-ended questions for focus group interview; (2) COVID-19 Perception questionnaire; a Q-sort questions developed by researchers, based on Health Belief Model and the information obtained from focus group interviews; and (3) Self-Protection Behavior questionnaire, a three-level rating scale. The results revealed that COVID-19 perception on five domains of Health Belief Model which obtained highest score were relevant with family e.g., on Perceived severity domain, ÒIf I get COVID-19 my family will be in trouble.Ó; Perceived benefits, ÒI will do everything for the safety of my family members.Ó It was found that Thai people in rural communities have self-protection behaviors much appropriate in general. Women had higher Self-protection behavior scores than men and people in age-group > 60 had highest Self-protection behavior scores. Negative relationships were found between Perceived barriers and Self-protection behaviors in general and two other domains. A conclusion that Thai people in rural communities gave priority to family can be used as the key message on health campaign against COVID-19 and other emerging diseases in the future. © 2024 Kasetsart University.Item A STUDY OF FRACTIONAL HERMITE-HADAMARD-MERCER INEQUALITIES FOR DIFFERENTIABLE FUNCTIONS(World Scientific, 2024) Thanin Sitthiwirattham; Miguel Vivas-Cortez; Muhammad Aamir Ali; HŸseyin Budak; Ibrahim Avci; M. Vivas-Cortez; School of Physical and Mathematical Sciences, Faculty of Exact and Natural Sciences Pontifical Catholic, University of Ecuador, Quito, Av. 12 October 1076, Section, 17-01-2184, Ecuador; email: mjvivas@puce.edu.ecIn this work, we prove a parameterized fractional integral identity involving differentiable functions. Then, we use the newly established identity to establish some new parameterized fractional Hermite-Hadamard-Mercer-type inequalities for differentiable function. The main benefit of the newly established inequalities is that these inequalities can be converted into some new Mercer inequalities of midpoint type, trapezoidal type, and Simpson's type for differentiable functions. Finally, we show the validation of the results with the help of some mathematical examples and their graphs. © The Author(s)Item A Study of the Optimal Conditions for Extracting and Precipitating Silica from Rice Husk Using the Hydrothermal Method in a Base Medium(Research and Development Institute Suan Dusit University, 2024) Orapin Komutiban; Jantharat Wutisatwongkul; Sorasutee Buapool; Khwunjit Itsarasook; Piyanuch Prompamorn; Jittarawadee Tanghiranra; Piyaporn Waranusantigul; J. Wutisatwongkul; Faculty of Science and Technology, Suan Dusit University, Bangkok, 10700, Thailand; email: jantharat_wut@dusit.ac.thThis research investigated the extraction and precipitation methods of silica from rice husk using hydrothermal treatment under basic conditions. It was observed that by subjecting raw rice husk and black rice husk ash to burnt at a temperature of 700¡C for 6 hr raw rice husk yielded 10.68%, while black rice husk yielded 85.40%. The optimal condition for extracting silica is 1 molar of sodium hydroxide at a temperature of 100¡C for 6 hr. Silica extracted from raw materials that have undergone acid pretreatment yields a higher quantity compared to silica from untreated raw materials. However, the raw rice husk, burnt raw rice husk, black rice husk ash and burnt black rice husk ash have silica % of 16.20, 77.60, 63.10 and 89.0, respectively. When the extracted silica was analyzed for its physical characteristics using an inverted microscope, it was observed that silica subjected to acid pretreatment exhibits uniformly sized particles. The examination of particle size using the extraction method revealed that the silica particles were smaller than 53 _m and when all extracted silica was analyzed for functional groups using the FT-IR technique, the siloxane group (Si-O-Si) was found in the wavenumber range of 1,090-801 cm-_. Additionally, the hydroxyl group (-OH) was observed at the wavenumber of 3,400 cm-_. After conducting BrunauerÐEmmettÐTeller Analysis (BET analysis) on silica obtained from burnt rice husk and burnt black rice husk ash, both untreated and treated with HCl, it was found that the pore diameter of the extracted silica ranged from 8.14 to 19.15 nm. This suggests that the silica possesses mesoporous characteristics. Furthermore, the acid-leached silica exhibited a decrease in particle size and an increase in surface area. Specifically, the silica derived from burnt rice husk and treated with HCl demonstrated particle size and surface area values that closely resembled those of commercial-grade silica. When studying the effectiveness of silica in adsorbing methylene blue, the findings showed that the extracted silica demonstrates better adsorption capability for methy lene blue compared to commercial silica. The adsorption values ranged from 1302.49 to 1706.35 mg MB/g, representing 65.78-86.17%. From the investigation of the isotherm for methylene blue adsorption with the extracted silica, it is evident that the adsorption conforms to Freundlich model, indicating a multilayer adsorption behaviour. The method of extracting and precipitating silica through hydrothermal treatment under basic conditions proves to be an effective approach for preparing micro-sized silica particles. © 2024, Research and Development Institute Suan Dusit University. All rights reserved.Item A study on the existence results of boundary value problems of fractional relaxation integro-differential equations with impulsive and delay conditions in Banach spaces(American Institute of Mathematical Sciences, 2024) Saowaluck Chasreechai; Sadhasivam Poornima; Panjaiyan Karthikeyann; Kulandhaivel Karthikeyan; Anoop Kumar; Kirti Kaushik; Thanin Sitthiwirattham; K. Karthikeyan; Department of Mathematics, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, 641407, India; email: karthiphd2010@yahoo.co.in; T. Sitthiwirattham; Research Group for Fractional Calculus Theory and Applications, Science and Technology Research Institute, King MongkutÕs University of Technology North Bangkok, Bangkok, 10800, Thailand; email: thanin.sit@dusit.ac.thThe aim of this paper was to provide systematic approaches to study the existence of results for the system fractional relaxation integro-differential equations. Applied problems require definitions of fractional derivatives, allowing the utilization of physically interpretable boundary conditions. Impulsive conditions serve as basic conditions to study the dynamic processes that are subject to sudden changes in their state. In the process, we converted the given fractional differential equations into an equivalent integral equation. We constructed appropriate mappings and employed the SchaeferÕs fixed-point theorem and the Banach fixed-point theorem to show the existence of a unique solution. We presented an example to show the applicability of our results. © 2024 the Author(s), licensee AIMS Press.Item A VARIANT OF THE PROXIMAL GRADIENT METHOD FOR CONSTRAINED CONVEX MINIMIZATION PROBLEMS(Mathematical Research Press, 2024) Suparat Kesornprom; Kunrada Kankam; Papatsara Inkrong; Nattawut Pholasa; Prasit Cholamjiak; P. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: prasit.ch@up.ac.thThis paper presents a new variant of the proximal gradient algorithm based on double inertial extrapolation to solve a constrained convex minimization problem in real Hilbert spaces. We discuss its weak convergence, including numerical image and signal recovery experiments to support the main results. Some comparisons with other algorithms are also provided. The experiments demonstrate that our method converges better than the other methods in the literature. ©2024 Journal of Nonlinear Functional Analysis.Item Adaptive Multi-Agent Reinforcement Learning for Optimizing Dynamic Electric Vehicle Charging Networks in Thailand(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Pitchaya Jamjuntr; Chanchai Techawatcharapaikul; Pannee Suanpang; P. Suanpang; Department of Information Technology, Faculty of Science & Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.thThe rapid growth of electric vehicles (EVs) necessitates efficient management of dynamic EV charging networks to optimize resource utilization and enhance service reliability. This paper explores the application of adaptive multi-agent reinforcement learning (MARL) to address the complexities of EV charging infrastructure in Thailand. By employing MARL, multiple autonomous agents learn to optimize charging strategies based on real-time data by adapting to fluctuating demand and varying electricity prices. Building upon previous research that applied MARL to static network configurations, this study extends the application to dynamic and real-world scenarios, integrating real-time data to refine agent learning processes and also evaluating the effectiveness of adaptive MARL in maximizing rewards and improving operational efficiency compared to traditional methods. Experimental results indicate that MARL-based strategies increased efficiency by 20% and reduced energy costs by 15% relative to conventional algorithms. Key findings demonstrate the potential of extending MARL in transforming EV charging network management, highlighting its benefits for stakeholders, including EV owners, operators, and utility providers. This research contributes insights into advancing electric mobility and energy management in Thailand through innovative AI-driven approaches. The implications of this study include significant improvements in the reliability and cost-effectiveness of EV charging networks, fostering greater adoption of electric vehicles and supporting sustainable energy initiatives. Future research directions include enhancing MARL adaptability and scalability as well as integrating predictive analytics for proactive network optimization and sustainability. These advancements promise to further refine the efficacy of EV charging networks, ensuring that they meet the growing demands of ThailandÕs evolving electric mobility landscape. © 2024 by the authors.Item An inertial projective forward-backward-forward algorithm for constrained convex minimization problems and application to cardiovascular disease prediction(International Scientific Research Publications, 2024) Prasit Cholamjiak; Watcharaporn Cholamjiak; Kunrada Kankam; P. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: prasit.ch@up.ac.th; W. Cholamjiak; School of Science, University of Phayao, Phayao, 56000, Thailand; email: watcharaporn.ch@up.ac.th; K. Kankam; Elementary Education Program, Faculty of Education, Suan Dusit University Lampang Center, Lampang, 52100, Thailand; email: kunradazzz@gmail.comIn this paper, we introduce a novel machine learning algorithm designed for the classification of cardiovascular diseases. The proposed inertial projected forward-backward-forward algorithm is developed to address constrained minimization in Hilbert spaces, with a specific focus on improving the accuracy of disease classification. Utilizing inertial techniques, the algorithm employs a projected forward-backward-forward strategy, demonstrating convergence under mild conditions. Evaluation of the algorithm employs four essential performance metrics-accuracy, F1-score, recall, and precision to gauge its effectiveness compared to alternative classification models. Results indicate significant performance gains, achieving peak metrics of 77.50% accuracy, 71.57% precision, 91.27% recall, and 80.23% F1-score, thereby surpassing established benchmarks in machine learning models for cardiovascular disease classification. © 2025 All rights reserved.Item Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management(Institute of Electrical and Electronics Engineers Inc., 2024) Gyana Ranjana Panigrahi; Prabira Kumar Sethy; Santi Kumari Behera; Manoj Gupta; Farhan A. Alenizi; Pannee Suanpang; Aziz Nanthaamornphong; P.K. Sethy; Sambalpur University, Department of Electronics, Sambalpur, Odisha, 768019, India; email: prabirsethy.05@gmail.com; A. Nanthaamornphong; Prince of Songkla University, College of Computing, Phuket, 83120, Thailand; email: aziz.n@phuket.psu.ac.thContemporary culture presents a substantial obstacle for cyber security experts in the shape of software vulnerabilities, which, if taken advantage of, can jeopardize the Confidentiality, Integrity, and Availability (CIA) of any system. Data-driven and modern threat intelligence tools can enhance cyber security, bolster resilience, and foster innovation across cloud, multi-cloud, and hybrid platforms. As a result, performance evaluation and accuracy verification have become essential for Security Information and Event Management (SIEM) to prevent cyber threats. The SIEM system offers threat intelligence, reporting, and security incident management through the collection and analysis of event logs and other data sources that are specific to events and their context. We propose a hybrid strategy to address threat intelligence, reporting, and security incident management consisting of two layers that utilize a predefined set of characteristics. Here, we use RStudio to assess how well a hybrid intrusion detection system (HIDS) handles the CIC-Bell-DNS-EXF-2021 dataset. Furthermore, we have incorporated our developed model into Multi-Criteria Decision Analysis Methods (MCDM) to enhance the methods' ability to identify complex DNS exfiltration attacks using machine learning algorithms: RF-AHP (RA), KNN-TOPSIS (KT), GBT-VIKOR (GV), and DT-Entropy-TOPSIS (DET). We consider several factors during the work, including accuracy, absolute error, weighted average recall, weighted average precision, kappa value, logistic loss, and root mean square deviation (RMSD). We use the Machine-Automated Model function to integrate and validate the models. According to the findings, GV has the highest level of accuracy, with a rate of 99.52%, while KT has the lowest level of authenticity, with a rate of 93.65%. Furthermore, these findings illustrate enhanced performance metrics for multiclass classification in comparison to previous approaches. © 2013 IEEE.Item Antioxidant and Anti-Inflammatory Activities of the Extract and Bioaccessible Fraction of Mango Peel in Muffins(University of Zagreb, 2024) Yossaporn Plaitho; Aikkarach Kettawan; Hataichanok Sriprapai; Aurawan Kringkasemsee Kettawan; Phakpoom Kooprasertying; P. Kooprasertying; School of Culinary Arts, Suan Dusit University, Bangkok, Sirinthon Road, Bang Phlat, 10700, Thailand; email: np_kool@hotmail.comResearch background. Mango peel is a production waste and can cause environmental problems, but its nutritional value consists of bioactive compounds that could be benefi-cial for human health. The aim of this study is to determine the bioactive compounds, an-tioxidant and anti-inflammatory activities of mango peels and their use in muffins. Experimental approach. The content of polyphenols, carotenoids and total phenols as well as the antioxidant activity of mango peel extract were evaluated. The anti-inflamma-tory activity of the extract was investigated using Caco-2 cell assay. The mango peel powder was then incorporated into muffin formulations. The sensory properties of these for-tified muffins were evaluated. The total phenolic content, antioxidant activity and anti-inflammatory properties of the muffin extracts and their bioaccessible fractions were also analysed. Results and conclusions. The mango peel contained quercetin, phenolic compounds, _-carotene, _-carotene and lutein, which have antioxidant potential. In Caco-2 cells ex-posed to induced inflammation, the mango peel powder extract (_=10, 50 and 100 µg/ mL) attenuated the production of reactive oxygen species (ROS), tumour necrosis factor-alpha (TNF-_) and interleukin-8 (IL-8), while maintaining cell viability. Muffins supplemented with 5 % mango peel powder showed good sensory properties, but not as good as those of plain muffins without mango peel powder. The total phenolic content and anti-oxidant activities in both the extract and the bioaccessible fraction of the supplemented muffins were higher than those observed in the standard muffins. Moreover, the extract and bioaccessible fraction of the supplemented muffins resulted in a higher reduction of ROS, IL-8 and TNF-_ production in Caco-2 cells than those obtained from the standard muffins. Novelty and scientific contribution. This study is the first to investigate the protective effects of mango peel and muffins supplemented with mango peel powder against IL-1_--induced oxidative damage in Caco-2 cells. The results confirm that both mango peel and the supplemented muffins inhibited the production of inflammatory markers, including ROS and cytokines. These findings suggest that mango peel could be a valuable compo-nent of functional food formulations including dietary supplements. © 2024, University of Zagreb. All rights reserved.Item Bioactive Compounds and Nutrition of Thai Sauces in Retort Pouch and Physicochemical Properties Kinetics During Storage(Rangsit University, 2024) Kanokkan Weeragul; Naruemon Nantaragsa; Chanchana Siripanwattana; Thitima Gaowmanee; Naratip Poonnakasem; N. Poonnakasem; School of Culinary Arts, Suan Dusit University, Bangkok, 10300, Thailand; email: naratip_poo@dusit.ac.thThe objectives of this study were to investigate the bioactive compounds, including carotenoids, flavonoids, total phenolics, antioxidant activity, and nutritional values of two ready-to-cook Thai sauces of stir-fry curry sauce (SCS) and spicy-sour sauce (SSS) in retort pouch and to investigate the kinetics of physicochemical properties, including lightness (L*), water activity, pH and total soluble solids, of the products during storage at 30¡C and 55¡C. The results showed that the temperature and time for sterilization of SCS (low acid foods) was 121¡C for 43 minutes and SSS (acid foods) was 102¡C for 31 minutes. The moisture content was between 57.9 and 63.2%. SCS had higher total fat, saturated fat, and calories because it contained soybean oil and chili paste, but SSS had higher sugar and sodium content than SCS. Trans fats and vitamin C were not detected in either product. SSS had a higher content of total phenols, carotenoids (especially capsanthin, zeaxanthin, and _-carotene) and antioxidants than SCS. The representation of the physicochemical properties of the products as a function of temperature and time resulted in a linear model (R2 = 0.7222 Ð 0.9772). L*, water activity, pH decreased, and TSS increased during the 90-day storage at both 30¡C and 55¡C. The change was more remarkable when stored at 55¡C than 30¡C. © 2018-2024, Rangsit University.Item Blockchain of things (BoT) innovation for smart tourism(John Wiley and Sons Ltd, 2024) Pannee Suanpang; Pattanaphong Pothipassa; Chompunuch Jittithavorn; C. Jittithavorn; College of Management, University of Phayao, Bangkok, 10330, Thailand; email: chompunuch.ji@up.ac.thThis study aims to (a) develop the innovation of BoT prototype; and (b) provide an effective platform to recommend tourists activity, implement and trials blockchain prototype for booking travel activities, whether booking travel programs, air ticket booking hotel stay visits to attractions and payment of goods and services, and evaluate tourist intention to use BoT. The developed architecture enables the integration of blockchain technology capabilities into IoT technology based on high performance of usability, stability, accuracy, and completeness. The BoT prototype is evaluated by 428 users to support smart tourism. This support is significant and the level includes the BoT functional benefit (security, process, and availability) that is positively related to the intention to adopt BoT, and user benefit (trust, usability) is also positive related with intention to adopt BoT. This study significantly contributes to revolutionizing the tourism industry by implementing BOT in smart tourism destinations to gain competitive advantage. © 2024 John Wiley & Sons Ltd.Item Brain Cancer Tumor Detection by U-Net Deep Learning Algorithm from MRI Images(Institute of Electrical and Electronics Engineers Inc., 2024) Utpal Chandra Das; Watit Benjapolakul; Manoj Gupta; Timporn Vitoonpong; Pannee Suanpang; Chanyanan Somthawinpongsai; Sujin Butdisuwan; Aziz Nanthaamornphong; U.C. Das; Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; email: dasutpal999@gmail.comThis research looks at the genomic subtypes of low-grade glioma tumors and their shape characteristics by deep learning magnetic resonance image (MRI) segmentation. We analyzed preoperative imaging and genetic data from 110 patients with low-grade glioma from the Cancer Genome Atlas. Three shape features were recovered to quantify the two- and three-dimensional aspects of the malignancies. Based on gene expression, DNA copy number, IDH mutation, 1p/19q co-deletion, DNA methylation, and microRNA, previously identified clusters were found in genomic data. We used the exact trait test to investigate the connection between chromosomal clusters and imaging traits. Our findings show a significant correlation between the margin fluctuation-bounding ellipsoid volume ratio and the RNA Seq clusters. Furthermore, a correlation was discovered between RNA-seq clusters and angular standard deviation. The U-net deep learning algorithm demonstrated a test accuracy of 94\% and a mean Dice coefficient of 90\%. These findings suggest that tumor shape characteristics derived from MRI can be projected through genomic subtypes in lower-grade gliomas. © 2024 IEEE.Item Can Optimized Genetic Algorithms Improve the Effectiveness of Homestay Recommendation Systems in Smart Villages? A Case of Thailand(John Wiley and Sons Ltd, 2024) Pannee Suanpang; Pitchaya Jamjuntr; Arunee Lertkornkitja; Chompunuch Jittithavorn; C. Jittithavorn; College of Management, University of Phayao, Bangkok, Thailand; email: chompunuchj@gmail.comThis paper introduces a novel approach to optimize genetic algorithms (GAs) for homestay recommendation systems, specifically designed for smart village tourism destinations. Researchers developed an advanced GA focused on maximizing user satisfaction, the main quality metric. The algorithm was tailored to address the dynamic nature of homestay offerings and the varied preferences of travelers, using users' reviews, listing attributes, and historical booking data. The GA framework included a custom encoding scheme, fitness function, and parameters. Validation occurred through a case study in a smart village, with the algorithm's effectiveness tested via user surveys and ratings. Results showed that GA-driven recommendations surpassed traditional methods, enhancing user satisfaction, trust, and booking rates while benefiting hosts with positive reviews. The optimized GA improved recommendation accuracy and efficiency, boosting economic benefits for local communities and contributing significantly to recommendation system research. © 2024 John Wiley & Sons Ltd.Item CiRA-Core: The Connector for Developer Teachers and User Teachers to Artificial Intelligence(Springer Science and Business Media Deutschland GmbH, 2024) Rangsan Jomtarak; Chatree Faikhamta; Tharuesean Prasoplarb; Kornkanok Lertdechapat; C. Faikhamta; Department of Education, Faculty of Education, Kasetsart University, Bangkok, 50 Ngamwongwan Road, Lat Yao, Chatuchak, 10900, Thailand; email: feductf@ku.thTechnology becomes the essential connector of transdisciplinary education as known as STEM education and as the tool for enhancing learners to become a technologically literate person and use information and technology as young innovators. However, there were many studies aimed on the learning innovation developments but only a few teachers could choose or access the appropriate platform to integrated technology in their lessons. This study aimed to survey the similarities and the different views about the nature, purposes, and functions of technology in education between 17 CiRA Core agent-teachers and 69 user-teachers to using CiRA Core through an open-ended questionnaire. Data were analyzed by content analysis, and all codes were then categorized to find the patterns and become the theme. The results visualized the 3 aspects which included the nature, the purposes, and the functions present the characteristic of reflection, connection, and driving the integrated technology of CiRA Core in the instructions consecutive. The most different view between them was found at the purpose of integration of technology connects the new norm teaching (differ 47.31%), while the most similarity view between them was found at the purpose of integration of technology connects the 21st classroom. However, this study found out the most average differ view of nature of technology. That would become an important issue for the future study of professional development to emphasize this aspect for more synchronizing between the developer-teachers and the user-teachers to integrate technology in the instructional design. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Comparison of Pebbles Growing Media from Agricultural Waste Materials on Productivity Growth of Melon (cv. Orange Man and cv. Galia 248) Cultivated in Greenhouse Conditions(Research and Development Institute Suan Dusit University, 2024) Suchaya Kiattiprajuksa; Yuttaya Yuyen; Y. Yuyen; Research and Development Institute, Suan Dusit University, Bangkok, 10300, Thailand; email: yuttaya_yuy@dusit.ac.thThe objective of this research project was to compare the results from the use of pebbles growing media made from agricultural waste suitable for the growth and productivity of two cultivars, Orange Man melon and Galia 248 melon in a greenhouse. Pebbles growing media could reduce cost from the traditional material used for growing melon and have higher productivity for farmers. The experiment was divided into 5 experimental sets, namely, set that uses 100% of pebbles from agricultural waste (T1), set that uses normal planting material (coconut husk and chopped coconut coir in the ratio of 2 to 1), 25% mixed with pebbles from agricultural waste at 75% (T2), 50% mixed with pebbles from agricultural waste at 50% (T3), 75% mixed with pebbles from agricultural waste at 25% (T4), and normal planting material 100% (T5).The research methodology is CRD, with one-way and two-way analysis of variance (ANOVA). In addition, the pair test with ScheffeÕs method to compare the difference that affects fruit weight of the melon at 42 days after pollination was used. The comparison of the means and standard deviation were performed by ScheffeÕs method at P ² 0.05 significance level. From the growth and productivity records of two cultivars melon, it was found that the experimental set that is most suitable is T2 which gave high yield of fruit width, fruit length, fruit weight and Brix value. Orange Man cultivars grown with T2 exhibited the average fruit width, fruit length, fruit weight and Brix value at 23.6±1.8 cm, 23.7±1.9 cm, 1.9±0.1 kg and 16±0.0¡Brix, respectively. Galia 248 cultivars grown with T2 exhibited the average fruit width, fruit length, fruit weight and Brix value at 23.2±0.8 cm, 24.4±1.2 cm, 1.9±0.1 kg and 15±0.6¡Brix, respectively. These results indicated that the factors of cultivar and treatment at the time of pollination are not different from each other with the statistical significance and confidence level of 95% compared with melons grown with T5 (normal planting material). These findings can lead to benefit farmers by reducing the cost of growing material for as much as 75% per time. The new material are easily manageable as well as having a long service life. © 2024, Research and Development Institute Suan Dusit University. All rights reserved.Item _-Contraction of HardyÐRogers type in supermetric spaces with applications(Springer Nature, 2024) Kamaleldin Abodayeh; Syed Khayyam Shah; Muhammad Sarwar; Varaporn Wattanakejorn; Thanin Sitthiwirattham; S.K. Shah; Department of Mathematics, University of Malakand, Chakdara Dir(L), Khyber Pakhtunkhwa, 18800, Pakistan; email: khayyamshah0@gmail.com; V. Wattanakejorn; Mathematics Department, Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: varaporn_wat@dusit.ac.thThis article focuses on studying some fixed-point results via _-contraction of HardyÐRogers type in the context of supermetric space and ordered supermetric space. We also introduced rational-type z-contraction on supermetric space. For authenticity, some illustrative examples and applications have been included. © The Author(s) 2024.Item Controllability of Hilfer fractional neutral impulsive stochastic delayed differential equations with nonlocal conditions(Elsevier Ltd, 2024) Sadam Hussain; Muhammad Sarwar; Kamaleldin Abodayeh; Chanon Promsakon; Thanin Sitthiwirattham; M. Sarwar; Department of Mathematics, University of Malakand, Dir Lower, Pakistan; email: sarwar@uom.edu.pk; C. Promsakon; Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, 10800, Thailand; email: chanon.p@sci.kmutnb.ac.thIn this paper, the controllability for Hilfer fractional neutral stochastic differential equations with infinite delay and nonlocal conditions has been investigated. Using concepts from fractional calculus, semigroup of operators, fixed-point theory, measures of noncompactness, and stochastic theory the main controllability conclusion is attained. The applications of the key findings are finally illustrated with two examples. © 2024 The Author(s)Item Controllability of semilinear noninstantaneous impulsive neutral stochastic differential equations via Atangana-Baleanu Caputo fractional derivative(Elsevier B.V., 2024) Muhammad Sarwar; Sadam Hussain; Kamaleldin Abodayeh; Sawitree Moonsuwan; Thanin Sitthiwirattham; M. Sarwar; Department of Mathematics, University of Malakand, Chakdara Dir(L), Khyber Pakhtunkhwa, 18000, Pakistan; email: sarwarswati@gmail.com; S. Moonsuwan; Mathematics Department, Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: sawitree_moo@dusit.ac.thThis study mainly concerns the controllability of semilinear noninstantaneous impulsive neutral stochastic differential equations via the Atangana-Baleanu (AB) Caputo fractional derivative (FD). The essential findings are created using methods and concepts from semigroup theory, stochastic theory, fractional calculus, K-set contraction, and measure of noncompactness. Finally, an example is provided to demonstrate the applications of the key findings. © 2024 The Author(s)