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Item A Model for Human Capital Competency Development by Upgrading the Basic Economy through Community-Based Tourism under the Concept of Innovative Businesses for Society and Communities and the Creative Economy to Develop Tourism for Thai Tourists in Suphan Buri Province in the New Normal(Thammasat University, 2024) Wanphen Kuensman; Wipada Mukda; Sarinya Somboon; W. Mukda; Faculty of Management Science, Suan Dusit University, Thailand; email: amimukda9002@gmail.comThis study aimed to: 1) investigate a participatory community-based tourism management model for Thai tourists in Suphan Buri during the New Normal; 2) examine a model for human capital competency development through community-based tourism for Thai tourists in Suphan Buri during the New Normal; and 3) propose guidelines for enhancing human capital through community-based tourism by integrating innovative business and creative economy concepts. Research instruments included questionnaires from 400 residents, in-depth interviews with 100 key informants, and focus group discussions involving 30 community leaders and members. Data were analyzed using statistical methods such as frequency, percentage, mean, and standard deviation, followed by a synthesis and interpretation of qualitative data from interviews and focus groups. The findings revealed high levels of participatory tourism management in Suphan Buri, covering aspects like environment, facilities, community involvement, and human resources. Human capital competency, particularly in leadership, partnerships, resource mobilization, and skills and knowledge, was also found to be high. The proposed guidelines emphasize targeted training for tourism-related groups, focusing on skills in community-based tourism management, knowledge of destinations, basic English communication, tourist service excellence, and health and safety standards. © 2024, Thammasat University. All rights reserved.Item Role of Insect Natural Enemies Integrated Pest Management of Citrus Insect Pests(University of Missouri, 2024) Rungkiat Kawpet; Ravee Ganeshaborirak; R. Ganeshaborirak; Faculty of Agricultural Production, Mae Jo University, Thailand; email: raveeganesha@gmail.comThis study aimed to evaluate species diversity and population dynamics of citrus insect pests and their associated natural enemies in the Chiang Mai and Lamphang provinces. Additionally, it examined the biology and feeding potential of selected natural enemies to support the development of an Integrated Pest Management (IPM) programme. Analysis of population dynamics identified the lime butterfly (Papilio demoleus, Lepidoptera: Papilionidae), citrus leaf miner (Phyllocnistis citrella, Lepidoptera: Phyllocnistidae), yellow citrus aphid (Aphis citricola, Hemiptera: Aphididae), and thrips (Thrips spp., Thysanoptera: Thripidae) as major insect pests affecting citrus crops year-round. Among the 26 species of natural enemies observed, the stink bug Eocanthecona furcellata (Hemiptera: Pentatomidae), assassin bug Sycanus collaris (Hemiptera: Reduviidae), and green lacewing Mallada basalis (Neuroptera: Chrysopidae) emerged as potential predators for augmentative biological control of key pests. Species diversity was found to play a critical role in sustainable pest management strategies, as evidenced by a strong positive correlation (r = 0.82) between pest populations and their natural enemies. The feeding efficacy of the three selected predators was also assessed. Eocanthecona furcellata and Sycanus collaris demonstrated high potential in suppressing major lepidopterous pests, with feeding rates of 5.62±1.33 and 4.25±2.14 caterpillars per day, respectively. Conversely, Mallada basalis exhibited significant potential for controlling leaf-sucking pests, including aphids, whiteflies, scale insects, and thrips. The study thus underscores the biological and predatory potential of these natural enemies, advocating their use in IPM programmes to manage citrus pests effectively. © 2024 AgBioForumItem Enhancing 3-Star Hotels to Wellness Hotels through User-Centered and UX/UI Design: A Case Study in Hua Hin District, Prachuap Khiri Khan(Research and Development Institute Suan Dusit University, 2024) Pichsinee Puttitaweesri; Wannapat Rimphati; Nathita Inya; Nattha Phiwma; N. Phiwma; Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: nattha_phi@dusit.ac.thThis research investigates the transformation of 3-star hotels into wellness hotels through user-centered and UX/UI design approaches in Hua Hin District, Prachuap Khiri Khan. The study employed a mixed-methods approach, combining qualitative interviews with three key informants and a quantitative survey of 50 tourists. The qualitative component provided in-depth insights into wellness tourism trends and challenges, while the quantitative survey assessed tourists’ preferences and expectations regarding wellness amenities and services. Key qualitative findings revealed that successful wellness hotel transformations require a comprehensive approach integrating physical design, service offerings, and digital experiences. Quantitative results showed that tourists prioritize hydrotherapy (16.7%), health exercise (16.0%), and massage (12.8%) as top wellness activities. For dining, 30.9% emphasized healthy food menus, and 20.0% prioritized healthy beverages. Based on these insights, prototypes for websites, menus, and signage were developed and evaluated by 50 hotel entrepreneurs and related agencies. The overall satisfaction with the prototypes was high (mean = 4.24, SD = 0.267). This research contributes to understanding that user-centered and UX/UI design can effectively transform 3-star hotels into wellness-oriented establishments. The high satisfaction ratings suggest that the developed prototypes have significant potential for enhancing user experiences and hotel competitiveness in the wellness tourism market. These findings provide design strategies, services, and product information for 3-star hotels seeking to enhance their offerings and competitiveness in the evolving wellness tourism market, potentially contributing to the broader development of wellness tourism in Thailand. © 2024, Research and Development Institute Suan Dusit University. All rights reserved.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 Thailand’s evolving electric mobility landscape. © 2024 by the authors.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 Fečkan; Chanon Promsakon; Thanin Sitthiwirattham; M. Fečkan; Department of Mathematical Analysis and Numerical Mathematics, Comenius University in Bratislava, Bratislava, Mlynská 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 Education Management Model for Early Childhood Development Promotion(Research and Development Institute Suan Dusit University, 2024) Chanasuek Nichanong; Jiraporn Rodpuang; J. Rodpuang; Faculty of Education, Suan Dusit University, Bangkok, 10300, Thailand; email: jiraporn_rod@dusit.ac.thThis research aims to assess the education management model for development promotion of early childhood. The research team conducted the simple random sampling. The sample group included 93 parents of early childhood students in kindergarten level 1 and 2 of La-orutis Demonstration School, Bangkok, La-or Plus Curriculum in educational year of 2020. The research tool is a questionnaire developed by the research team in accordance with Early Years Foundation Stage Statutory Framework (EYFS). The research team checked the content validity by Index of Item – Objective Congruence (IOC) and the result is between 0.80-1.00. the reliability Cronbach’s alpha value of questionnaires is 0.96. The statistics applied in the research are means and standard deviations. It is found that the authentic assessment of application of education management model which promotes early childhood children’s development in general and in particular aspects corresponded to realistic situations at a high level, as follows 1) The aspect of inputs corresponded to realistic situations at a high level. The highest item is personnel, followed by environment and learning source management and media and innovation, respectively. When considered in each item, it was found that the number one was the school prioritizes and takes the students’ health and safety into account in high level. Number two was Adequate teachers and nursery teachers to take care of all students in high level and number three was The school provides the environment promoting the student’s learning in high level 2) The aspect of process corresponded to authenticity at a high level. The highest item is nutritious care, followed by expressive art and design, communication and language, respectively. When considered in each item, it was found that the number one was the school prioritizes preparation of good and beneficial foods for the students in high level. Number two was the school provides guidance on nutritious food selection for the students in high level. Number three was the school prioritizes food preparation with proper nutrition proportion in high level and 3) The aspect of outcomes corresponded to authenticity at a high level. The highest item is physical health development, followed by communication and language, expressive art and design, respectively. When considered in each item, it was found that the students have proper physical development in accordance with the development criteria in high level. Number two was the students can well move their body and use their muscles in high level. Number three was the students can express their imagination through playing in high level. © 2024, Research and Development Institute Suan Dusit University. All rights reserved.Item Technological and managerial approaches to fostering sustainable travel(IGI Global, 2024) Kittisak Jermsittiparsert; Pannee SuanpangThe rapid changes in many dimensions that have occurred in the past decade have resulted in significant transformations in people's conditions and lifestyles. The role of technology in facilitating the fastest pace of development in human history remains a major theme of our times, especially as humanity faced the most severe pandemic of the century, COVID-19. One of the major human activities particularly affected by the pandemic is tourism, which came to a near complete halt due to travel restrictions. The impact of at least two of these factors-technological developments and the emergence of epidemics-makes it imperative for tourism to adapt. However, sustainability, a trend that has spanned more than half a century, remains a path that tourism, like any other activity, needs to be aware of, guided by, and headed towards. Technological and Managerial Approaches to Fostering Sustainable Travel compiles research on sustainable tourism from experts, including academics, researchers, and practitioners in the field of tourism and related disciplines. It covers topics such as artificial intelligence, hotel management, and quality management, offering valuable resources for academics, researchers, and students in their teaching and research. Similarly, entrepreneurs and professionals can use it as data for research and development, operations, and related activities. © 2024 by IGI Global. All rights reserved.Item Why financial knowledge of valuation methodologies is crucial for accounting professions(Research and Development Institute Suan Dusit University, 2024) Nattapan Tantikul; Wanvitu Soranarak; N. Tantikul; Faculty of Management Science, Suan Dusit University, Bangkok, 10300, Thailand; email: nattapan_t@yahoo.comThe main objective of this article is to highlight concerns about the importance of financial knowledge, specifically regarding valuation methodologies and present value measurement used in both Thai and international financial reporting standards. Since the Conceptual Framework for Financial Reporting allows companies to choose “current value measurement” as one of the techniques to arrive at a measure, it undeniably brings accounting much closer to finance than ever before. Regardless of the technical terms of current value measurement used in Thai Accounting Standards (TASs) or Thai Financial Reporting Standards (TFRSs)—such as fair value, value in use, or fulfilment value—the complexity of present value measurement techniques makes current value measurement difficult to understand and apply, especially for accountants or auditors who lack sufficient financial knowledge and experience with valuation methodologies. This issue is exacerbated by the fact that most current accounting curricula in Thailand and other countries require only one finance subject, where concepts such as time value of money, present value measurement, central estimate of cash flows, and risk premium are only briefly covered. Although this financial knowledge might be revisited when specific TASs or TFRSs are taught, the limited time allocated to each accounting subject raises questions about the depth of understanding of these complex topics. To address this issue, if adding another finance subject focused on valuation methodologies is not feasible, it is suggested that all accounting programs should at least enhance the existing finance subject by: (a) discussing this problem with finance instructors and requesting them to devote sufficient time to topics related to value measurement, and (b) making accounting students aware of the importance of financial knowledge to the accounting profession, encouraging them to focus more on key concepts of valuation and present value measurement. In conclusion, this paper emphasizes the close relationship between accounting and finance, and the critical importance of finance, especially for financial accounting. Given the increasing trend of current value measurement, it is imperative to provide prospective accounting professionals with sufficient financial knowledge. Improved understanding will empower accountants and auditors to handle the complexities of TASs and TFRSs involving current/fair value measurement, ultimately strengthening the reliability and faithful representation of companies’ financial statements and enhancing investment decision-making for investors and other financial statement users worldwide. © 2024, Rodman Publishing, Corp.. All rights reserved.Item Sustainable development, humanities, and social sciences for society 5.0(IGI Global, 2024) Kittisak Jermsittiparsert; Ismail Wekke; Pannee SuanpangIn a world where business is increasingly influenced by rapid technological advancements and shifting societal norms, the definition of success has undergone a fundamental transformation. Profitability, once the sole measure of achievement, now shares the stage with sustainability as a critical component of business performance. As we transition into Society 5.0-a hyper-connected era where technology and human values converge-redefining success to include sustainability becomes not just desirable but essential. Sustainable Development, Humanities, and Social Sciences for Society 5.0 explores this paradigm shift, presenting a forward-thinking perspective on the intersection of technological innovation and sustainable business practices. This comprehensive volume bridges the gap between emerging technologies and the imperative for businesses to thrive in a way that benefits society and the environment. Through a curated collection of insights, strategies, and case studies, the book offers a valuable resource for understanding how to achieve continuous good performance while making a positive impact in the age of Society 5.0. © 2025 by IGI Global Scientific Publishing. All rights reserved.Item Self-drive tourism: Unlocking the potential of the thailand riviera(Research and Development Institute Suan Dusit University, 2024) Parleda Sampaothong; Narin Sungraksa; Neeyakarn Limaroon; Kwanrat Jansirinara; Thapana Tangjui; Panarat Srisaeng; P. Sampaothong; School of Tourism and Hospitality Management, Suan Dusit University, Bangkok, 10300, Thailand; email: panarat_sri@duist.ac.thThe Thailand Riviera is a key element in the government's strategic plan to boost the nation's economy through targeted tourism development initiatives. Despite its natural beauty and numerous attractions, awareness of the region remains limited, suggesting the need for enhanced promotional efforts. This study aims to develop a proactive marketing and public relations model to promote tourism in the Thailand Riviera, with a focus on self-drive tourism as a case study. A mixed- methods approach was employed, including a survey of 400 tourists to examine their behaviors and perceptions of the Thailand Riviera, as well as in-depth interviews with 24 key informants, including tourists, government officials, and tourism professionals. The EDFR research method was applied to establish a proactive marketing and public relations model, incorporating the insights of 17 experts. A qualitative approach was used to test and verify the proposed self-drive tourism model. The findings suggest that the marketing and tourism promotion strategy for the Thailand Riviera should emphasize self-drive tourism and highlight a distinctive regional identity in alignment with provincial tourism policies under the Thailand Riviera brand. To build brand awareness, mascot marketing should be implemented, positioning the mascot as a tourism ambassador. The proposed self-drive tourism model includes the Thailand Riviera Self-Drive Salt Route in Phetchaburi, connected to the Thailand Riviera Self-Drive Coastal Route in Prachuap Khiri Khan, with community-based tourism activities along the scenic routes. This form of tourism has the potential to reach remote areas, promoting income distribution within local communities and contributing to national economic growth. Overall, this study provides valuable insights into the potential of self-drive tourism as a key driver for promoting tourism in the Thailand Riviera. © 2024, Research and Development Institute Suan Dusit University. All rights reserved.Item OPTIMIZING LAST-MILE DELIVERY BY DEEP Q-LEARNING APPROACH FOR AUTONOMOUS DRONE ROUTING IN SMART LOGISTICS(Regional Association for Security and crisis management, 2024) Pannee Suanpang; Pitchaya Jamjuntr; P. Suanpang; Department of Information Technology, Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.thThe advancement technology of artificial intelligence and e-commerce has increased and this has called for new ways to improve last-mile transportation, which is regarded as an essential part of the logistics value chain, especially in smart logistics. This paper addresses the problem of developing effective routes for autonomous drones in last-mile logistics using deep Q-learning. This paper aims to improve the process of delivery by utilizing the flexibility and intelligence of self-driven autonomous drones in smart logistics transportation. The key challenge for the effective provision of last-mile delivery services remains the decision on the routing of many aerial drones in an indoor urban environment, concerning the restrictions of a time window for delivery, energy consumption and traffic. This paper implements a deep Q-learning paradigm that allows drones to relearn their flight paths and delivery strategy during the lifecycle, thereby reducing the cost in the long run while using the costing strategies as part of the reengineering process. The approach has been validated through extensive experimentation and simulations. Results obtained indicate that the delivery drones modified for the study attained the designed requirements of deep Q-learning, including optimal navigation and performance that attained 12.8% shorter delivery time, an increase in energy efficiency by 8.4%, and a route quality improvement of 20.1%. Furthermore, highlights the performance of the system in various situations where deep Q-learning and standard routing approaches are compared. This paper not only aids in the minimization of the last-mile delivery constraint by the use of shipping drones but also emphasizes the capacities of reinforcement learning strategies such as deep Q-learning in tackling the routing problems in smart logistics systems. At last, it advocates carrying on deeper into the application of reinforcement learning in the solving of complex optimization problems in various other fields. © 2024 Regional Association for Security and crisis management. All rights reserved.Item Integrating Generative AI and IoT for Sustainable Smart Tourism Destinations(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Pannee Suanpang; Pattanaphong Pothipassa; P. Suanpang; Department of Information Technology, Faculty of Science & Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.thThis paper aims to develop a groundbreaking approach to fostering inclusive smart tourism destinations by integrating generative artificial intelligence (Gen AI) with natural language processing (NLP) and the Internet of Things (IoT) into an intelligent platform that supports tourism decision making and travel planning in smart tourism destinations. The acquisition of this new technology was conducted using Agile methodology through requirements analysis, system architecture analysis and design, implementation, and user evaluation. The results revealed that the synergistic combination of these technologies was organized into three tiers. The system provides information, including place names, images, descriptive text, and an audio option for users to listen to the information, supporting tourists with disabilities. Employing advanced AI algorithms alongside NLP, developed systems capable of generating predictive analytics, personalized recommendations, and conducting real-time, multilingual communication with tourists. This system was implemented and evaluated in Suphan Buri and Ayutthaya, UNESCO World Heritage sites in Thailand, with 416 users participating. The results showed that system satisfaction was influenced by (1) the tourism experience, (2) tourism planning and during-trip factors (attention, interest, and usage), and (3) emotion. The relative Chi-square (_2/df) of 1.154 indicated that the model was suitable. The Comparative Fit Index (CFI) was 0.990, the Goodness-of-Fit Index (GFI) was 0.965, and the model based on the research hypothesis was consistent with the empirical data. This paper contributions significant advancements in the field of smart tourism by demonstrating the integration of Gen AI, NLP, and the IoT and offering practical solutions and theoretical insights that enhance accessibility, personalization, and environmental sustainability in tourism. © 2024 by the authors.Item Virtual Learning Environment - Evaluation of LearnerÕs Behavior Using Topic Models(Institute of Electrical and Electronics Engineers Inc., 2024) N.A. Deepak; Gyanendra Kumar; Aunkrisa Sangchumnong; R.S. Chaithra; Sur Singh Rawat; Aziz Nanthaamornphong; Girish B.C. Kumar; Manoj Gupta; N.A. Deepak; RV Institute of Technology and Management, Bengaluru, India; email: deepakna.rvitm@rvei.edu.inOnline learning platforms come with a number of difficulties. To identify the student who does not do the given assignment within the allotted time. Researchers have been attempting to solve this issue in the literature of late, however most algorithms are unable to produce linearly separable learner clusters and correctly classify the input documents. In an attempt to overcome these problems, the suggested methodology builds clusters of linearly separable learners by applying topic models such as Latent Dirichlet Allocation (LDA). First, the necessary features are retrieved and converted into an appropriate LDA of words and phrases. The topic-modeling algorithm (LDA) is then fed the words to create clusters of related content or learners. A number of experiments were carried out to assess how well various predictive models performed. The results show the topic-modeling algorithm LDA attains significant clustering of documents over the other state-of-art. © 2024 IEEE.Item EXTENDING NETWORK INTRUSION DETECTION WITH ENHANCED PARTICLE SWARM OPTIMIZATION TECHNIQUES(Academy and Industry Research Collaboration Center (AIRCC), 2024) Surasit Songma; Watcharakorn Netharn; Siriluck LorpunmaneeThe present research investigates how to improve Network Intrusion Detection Systems (NIDS) by combining Machine Learning (ML) and Deep Learning (DL) techniques, addressing the growing challenge of cybersecurity threats. A thorough process for data preparation, comprising activities like cleaning, normalization, and segmentation into training and testing sets, lays the framework for model training and evaluation. The study uses the CSE-CIC-IDS 2018 and LITNET-2020 datasets to compare ML methods (Decision Trees, Random Forest, XGBoost) and DL models (CNNs, RNNs, DNNs, MLP) against key performance metrics (Accuracy, Precision, Recall, and F1-Score). The Decision Tree model performed better across all measures after being fine-tuned with Enhanced Particle Swarm Optimization (EPSO), demonstrating the model's ability to detect network breaches effectively. The findings highlight EPSO's importance in improving ML classifiers for cybersecurity, proposing a strong framework for NIDS with high precision and dependability. This extensive analysis not only contributes to the cybersecurity arena by providing a road to robust intrusion detection solutions, but it also proposes future approaches for improving ML models to combat the changing landscape of network threats. © (2024), (Academy and Industry Research Collaboration Center (AIRCC)). All Rights Reserved.Item Upgrading the Grass-roots Economy Through Community-Based Tourism under the Concepts of Innovative Business and Creative Economy(Research and Development Institute Suan Dusit University, 2024) Wanphen Kuensman; Wipada Mukda; W. Mukda; Faculty of Management Science, Suan Dusit University, Bangkok, 10300, Thailand; email: Wanphen_3956@hotmail.comThis academic paper aims to study the upgrading of the grass-roots economy through community-based tourism under the concepts of innovative business and the creative economy. The grass-roots economy at the local community level needs to be strong and increase competitiveness this means it must be self-reliant through economic and behavioral restructuring by promoting the learning process of the community such as educating open exchange platform and organizing a community learning center or community information center to collect history. These efforts provide the community with a foundation for driving community-based tourism, enabling them to innovate, add value, and elevate the quality of products and services, thereby building trust among stakeholders. © 2024, Research and Development Institute Suan Dusit University. All rights reserved.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 Development of sweet fermented rice (Khao-Mak) production using a pure culture of Amylomyces rouxii TISTR 3182 by the mixture design approach(Springer, 2024) Sujaya Rittisorn; Manida Chorum; Sorayaporn Ratchakit; Nattawan Klaeabangthong; Srisuda Samaimai; Thanasak Lomthong; T. Lomthong; Division of Biology, Faculty of Science and Technology, Rajamangala University of Technology, Thanyaburi, Pathum Thani, 12110, Thailand; email: thanasak_l@rmutt.ac.thA mixture design approach was used to investigate how different types of glutinous rice impacted the production of sweet fermented rice (Khao-Mak) using a pure culture of Amylomyces rouxii TISTR 3182. White glutinous rice provided the highest total soluble solids (TSS) and alcohol content (24.3 ± 0.35oBrix and 2.0 ± 0.14%, respectively). The combination of black glutinous rice (88%) with white glutinous rice (12%) gave the highest total phenolic content (TPC) at 120.21 ± 2.20ʵg GAE/mL. The optimal combination was chosen for large-scale production, yielding 22.00 ± 0.5oBrix, 1.63 ± 0.23%, and 102.98 ± 0.76ʵg GAE/mL of TSS, alcohol, and TPC, respectively. Thin-layer chromatography (TLC) revealed that the sugar obtained from the fermentation was glucose. Scanning electron microscopy (SEM) showed that growth of the fungal strain hydrolyzed the rice structure during fermentation. The crude extract of sweet fermented rice, fermented using a pure fungal strain culture through a biotechnological approach, suppressed the growth of Staphylococcus aureus DMST 2933 and Salmonella sp. ATCC 13311. © Association of Food Scientists & Technologists (India) 2024.Item Exploring the Association Between Loneliness, Subjective Cognitive Decline, and Quality of Life Among Older Thai Adults: A Convergent Parallel Mixed-Method Study(SAGE Publications Inc., 2024) Panawat Sanprakhon; Wachira Suriyawong; Orranuch Chusri; Peerayut Rattanaselanon; W. Suriyawong; Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand; email: suriyawo@msu.eduExamining the rising prevalence of subjective cognitive decline as an early indicator of dementia in adults, this study investigates its complex interaction with loneliness and quality of life in individuals with preclinical dementia. Using a convergent parallel mixed-method approach, we employed Structural Equation Modeling on a cohort of 149 older adults. Qualitative insights were derived from focused group discussions and in-depth semi-structured interviews with a cohort of 23 older adults. Loneliness emerges as a pivotal contributor, exerting a discernible partial indirect effect on quality of life through subjective cognitive decline (indirect effect = _0.145, p =.006). Noteworthy differentials surfaced, with the impact of subjective cognitive decline on quality of life heightened in those with chronic diseases (__2 = 6.139, p =.013). Loneliness, wielding a palpable impact, intricately interlaces with quality of life, the nexus of which is intricately mediated by subjective cognitive decline. © The Author(s) 2024.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)