Abstract :

This research investigates the methods that can be utilised to improve community products and cultural tourism in Thailand's central northeast in order to address economic and social disparities. The study takes after the philosophy of King Rama IX and creative local wisdoms and uses a three-pronged approach. Firstly, working to improve and establish quality standards for community products and leveraging local knowledge can lead to the enhancement of community products. Secondly, the framework for cultural tourism can be conceptualised through the capitalisation of the uniqueness of the region. Thirdly, fostering community innovations, sustainable learning arises as the pragmatic resolution for long-run empowerment of cultural and economic development. The study utilises a combination of research methods such as interviews, observations, and surveys to pinpoint important areas for growth. These areas include establishing a brand, utilizing content marketing, improving product design, and developing regional tourism calendars. The results indicate that these strategies, which are rooted in local knowledge and the King's philosophy, have the potential to reduce economic and social inequalities while promoting community-based prosperity.

Abstract :

This study aims toward developing and implementing a Massive Open Online Course (MOOC) learning model specifically for Thai secondary schools in order to address challenges in relation to online learning with the intention to create a tailored curriculum, content, and online lessons which comply with learners’ needs in the changing landscape of teaching and learning. The research involved 70 school representatives from the Secondary Educational Service Area Office of the Mahasarakham prefecture with their consented participation in interviews and questionnaires for data collection. The data was then analysed via content analysis and descriptive statistics. The key findings of the study deduce that the students have their own learning devices, with 80% having internet access from home. Students are actively engaged in online learning, showing positive participation and effective use of teacher programs. Teachers provide strong support and recommend online resources, indicating moderate views towards the MOOC implementation. Recommendations from the study include limiting MOOC course content to 12 hours, with 35% delivered through video media in 10-minute segments. Teacher development guidelines must emphasise classroom management, teaching skills, and digital proficiency. Overall, this research contributes to the advancement of MOOC learning models in Thai secondary education, aiding in facilitating the shift towards digital teaching and learning methods.

Abstract :

Brain tumors require precise and prompt detection techniques because they pose a serious challenge to medical diagnosis and treatment. In order to improve brain tumor diagnosis from medical imaging data, this work presents a novel method that combines the Otsu methodology with a customized Differential Evolution (DE) algorithm. For segmentation, the Otsu approach is used for accurate thresholding, and the DE algorithm is specifically tailored to improve the process. This study assesses the efficacy of the suggested methodology through thorough testing and analysis using a variety of datasets, including MRI and CT scans. Comparing the results to traditional methods, it is clear that the accuracy of tumor detection and the quality of segmentation have significantly improved. The integrated approach exhibits favorable outcomes for advancing computer-aided diagnostic systems, offering medical practitioners a reliable means for early tumor identification and subsequent treatment planning.

Abstract :

In the dynamic realm of precision agriculture, the "Soil Nutrient Analyzer" stands tall as a groundbreaking project, revolutionizing how we approach crop cultivation. Leveraging the power of the NPK sensor, Arduino Nano, Modbus, and an OLED screen, this innovative system aims to decode the soil's nutritional secrets, thus assisting farmers in making informed decisions for optimal crop selection. The project's core functionality involves extracting Nitrogen, Phosphorus, and Potassium values directly from the soil, providing valuable insights into the soil's fertility.

Keywords:

Arduino Nano, Modbus, NPK Sensor, OLED Screen, Soil Nutrient Analyzer

Abstract :

An increasingly important tactic for risk reduction and uninterrupted operation in infrastructure management is strengthening aging bridges. As a result of age and degradation as well as more stringent environmental and load requirements, transportation networks are home to an increasing number of defective buildings. However, from an economic and environmental perspective, employable resources are limited. Strengthening options, which improve bridges with little impact on the economy or the environment, should be taken into consideration as a feasible choice for these reasons. A selection of the most intriguing strengthening methods for historic truss steel bridges are shown from this angle. In order to discuss practical remedies, the most common issues with vintage truss railway bridges are first discussed. Results from a representative bridge cluster were compared to a literature review and expert interview process. After that, several approaches to the issues that have been brought to light are gathered and qualitatively assessed for their effectiveness in meeting structural and conventional building criteria. Ultimately, broad observations and suggestions grounded in gathered data are shown.

Abstract :

Development of a layup geopolymer machine is expected by many green road contractors that coutch increasing demand overtime as the regulation support, conservation of water prioritized everywhere, abundance materials of geopolymer agregate for road hardener, and increasing awereness of green road application in many infrastructure development. Green road production has been implemented in certain areas such as resort, housing communities, and public buildings in the form of paving block. Green road production machines that process geopolymer material in similar fashion to other road hardener production practices such as using asphalt or concrete are not yet available in the market as it requires certain specific process to layup, compacted, and let the geopolymer material form porous structure. The process was researched including agregate geopolymer materials composition, some weight to compact, and holding time to form porous structure to determine criteria of machine design and development. Then, using VDI-2222 methodology the design criteria were carried out into manufacturing stage that will be presented in this paper. The machine design will present the main part of the agregate polymer mixing and layup on the road surface for such purpose. The machine design also presented for green road production as it requested first by contractor partners under the initial survey which will specifically build road shoulders to absorb water which has road dimension of 1,0 meter wide and of 10,0 cm thickness. This publication is one of the output of the National Reseach on Vocational Product that is supported by the ministry of education, culture and reseach aiming to push real product into commercial stage

Abstract :

The crisis brought about by the spreading of coronavirus disease 2019 (COVID-19) pushed the medical field around the world to explore techniques to monitor one’s health condition. A critical aspect of containing illness is isolation; however, it could also lead to less interaction between a patient and a corresponding caregiver. This study aimed to develop a home healthcare system for a person under monitoring, like those experiencing illness, that is easy to use and multifunctional. The system includes the following devices: a smart medicine box that could remind the patient which medicine to take at a specific time of the day; an automated vital signs monitoring device that could automatically retrieve vital signs from a pulse oximeter and temperature sensor; general communication devices between the patient and the caregiver; and a web application that is locally available for the patient and the caregiver and could be accessed by a doctor using the Internet. The said devices are interconnected via a local network, and a raspberry pi syncs the data from the local database to the cloud database, where the doctor can view it using the online web application. The said devices were successfully implemented and interconnected via a router and tested with an Internet connection. The delays recorded in the devices were low enough to make them acceptable for possible medical usage in the future once medically proven safe to use.

Abstract :

An effective communication could relate well to the use of VARK model which consist of visual learning, aural learning, read write learning and lastly the kinesthetics learning. Each learning style has its unique way of igniting the suitable way of learning among students. This study aims to investigate the impact of learning preference among students and best suited teaching style using VARK model by academicians in American Degree Transfer Program (ADTP). The study used qualitative research with purposive sampling. There were five (5) lecturers from various major’s background from ADTP whom has been interviewed. The study found that learning style differs according to each module and subject. Further this study confirms that under the VARK model the visual mode is more popular among student as it’s the millennial generation who prefers the digital technology compared to traditional classroom. However, respondents believed that face to face delivery of subject are definitely the best approach. Nevertheless, hands on activities and presentation does attract student engagement unlike textbook usage which only helps with further enhancement of a subject matter. Apart from acquiring skills and creating positive attitude, this study also creates unique learning environment that could ignite the sense of students to think further. As a conclusion, the study is important for academicians to know and understand their students in order to acknowledge the best suited learning style preferred by students. A comparison of learning style using the VARK model can be carried out between private and public varsity in future studies.

Abstract :

An effective communication could relate well to the use of VARK model which consist of visual learning, aural learning, read write learning and lastly the kinesthetics learning. Each learning style has its unique way of igniting the suitable way of learning among students. This study aims to investigate the impact of learning preference among students and best suited teaching style using VARK model by academicians in American Degree Transfer Program (ADTP). The study used qualitative research with purposive sampling. There were five (5) lecturers from various major’s background from ADTP whom has been interviewed. The study found that learning style differs according to each module and subject. Further this study confirms that under the VARK model the visual mode is more popular among student as it’s the millennial generation who prefers the digital technology compared to traditional classroom. However, respondents believed that face to face delivery of subject are definitely the best approach. Nevertheless, hands on activities and presentation does attract student engagement unlike textbook usage which only helps with further enhancement of a subject matter. Apart from acquiring skills and creating positive attitude, this study also creates unique learning environment that could ignite the sense of students to think further. As a conclusion, the study is important for academicians to know and understand their students in order to acknowledge the best suited learning style preferred by students. A comparison of learning style using the VARK model can be carried out between private and public varsity in future studies.

Abstract :

Naegleria fowleri, a free-living waterborne amoeba, causes fatal primary amoebic meningoencephalitis (PAM) when it enters the brain through the nose. Treatments options are limited due to a lack of FDA-approved drugs and poor blood-brain barrier penetration. Silver nanoparticles exhibit potent antiamoebic properties and can enhance the efficacy of therapeutic agents at specific biological targets. Natural folk remedies have long been utilized in disease treatment, with phytochemicals from various plants demonstrating significant amoebicidal properties. These bioactive compounds offer potential therapeutic benefits against amoebic infections. In this study, malabaricones A, B, and C, extracted from Myristica cinnamomea, were conjugated with silver nanoparticles (AgNO3) to determine their effects on PAM infection. These AgNPs coated with malabaricones (AgNPs-Mal-A, B, C) were characterized by using UV-visible spectrophotometry showed gave a maximum absorbance at 380, 425 and 422 nm, while high-resolution transmission electron microscopy showed the nanoconjugates were regular and rounded in shape, respectively. These nanoconjugates were evaluated against trophozoites and cysts of N. fowleri. The most potent activity was recorded for Mal-C nanoconjugate, significantly inhibit the viability of both trophozoites and cysts showing an IC50/24 h at 43.63 ± 1.08 and 49.03 ± 0.92 µM, respectively. The morphological changes was recorded via light microscopy. All nanoconjugates showed strong host cell cytopathogenicity but moderate toxicity at lower concentrations against HaCaT cells. The results indicate that Mal-C nanoconjugates show potential as effective alternative therapeutic agents against Naegleria infections.

Abstract :

Acanthamoeba castellanii, an opportunistic free-living amoeba, causes severe CNS infections like granulomatous amoebic encephalitis (GAE) and blinding ocular infections like Acanthamoeba keratitis (AK). Treatment challenges stem from the absence of safe and effective drugs, inability to penetrate blood-brain barrier (BBB) and amoeba's cyst-forming ability. Most of the drug is currently under development, and there is limited information regarding its dosage, optimal timing, role, and route of administration. Therefore, repurposing drugs is an ideal strategy for promptly addressing A. castellanii infection. The objective of this study was to assess the anti-amoebic properties of two clinically approved AEDs, Zonisamide (A) and perampanel (B) against A. castellanii of the T4 genotype. Both drugs (A and B) exhibited potent antiamoebic activity with IC50/24 hr values of 56.04 ± 1.09 and 62.03 ± 0.67 µM. At 50 µM, they reduced cyst viability by 70% and 62%, respectively. Zonisamide inhibited phenotypic transformation significantly at 50 µM, whereas perampanel required higher concentrations. Both drugs effectively reduced host cell cytopathogenicity and demonstrated moderate toxicity towards HaCaT cells at lower concentrations. Amoebic morphological changes induced by drug treatment were observed using light microscopy during the assessment. These results showed that both drugs exhibit promising potential as repurposed drugs against AGE caused by A. castellanii, representing a significant advancement in drug development targeting all stages of the pathogen.

Abstract :

The United Nations and the African Union have expressed its intention to harness the capabilities of social commerce (s-commerce) as a means to promote trade in accordance with Sustainable Development Agenda. S-commerce sustainability is linked to attainment of Ten out of the Seventeen Sustainable Development Goals. Despite its relevance very little studies have been conducted on s-commerce Approbation and sustainability with a focus on generation z in lower-middle income country context. It is against this backdrop that the current paper aims do develop a baseline structural model to encourage the Approbation and sustainability of s-commerce from the perspective of generation z by extending Technology Organization Environment (TOE) with Social Capital Theory, and Technology Acceptance Model (TAM). The paper utilizes quantitative research approach, explanatory design, and a survey - based questionnaire. Our hypotheses have been tested using Smart Partial Least Square (Smart-PLS) version 3.8.9 and Structural Equation Modelling (SEM) techniques. Our indicative results have showed that the dimensions of TOE (Technological, Organizational, and Environmental), dimensions of TAM (Perceived Ease of Use, and Perceived Usefulness), and social trust significantly affect s-commerce Approbation. Moreover, the s-commerce Approbation mediates the relationship between its determinants and sustainability performance of small business. These results have implications on policymakers, practitioners, and academicians in fostering the creation of respectable employment opportunities, facilitating productive endeavors, nurturing entrepreneurial spirit, fostering innovation, and cultivating creativity, all in the pursuit of business sustainability. Again, the newly built model could be used to encourage the Approbation and sustainability of s-commerce from the perspective of generation z in lower middle countries where such studies largely remain fuzzy.

Keywords:

Social Commerce and Small Business, Sustainability, TOE Model, Generation Z, Social Capital Theory

Abstract :

Several studies have delved into technical aspects of Hierarchical Deterministic wallets. However, there is yet research regarding its use in organizations. This study aims to explore various aspects of HD wallets in organizational settings. Exploring technical requirements for implementation, benefits and risks of adoption for organizations, and adoption recommendations. The data will be gathered through a systematic literature review, utilizing specific coding forms to extract information from different literatures. Furthermore, an experimental implementation for gathering information regarding technical requirements of HD wallets. The results of the review aim to answer the research questions constructed prior to the start of the research, covering the possible benefits and risks of adopting HD wallets, technical specifications, and considerations of adoption. In the end, a literature review was conducted on 18 literatures, and an implementation was created uncovering information regarding technical aspects of implementing HD wallets, such as access control, key management, data transmission, and more. The findings provided information regarding the requirements and considerations relating to the implementation and adoption of HD wallets. Providing several recommendations for organizations looking to adopt HD wallets, such as conducting regular security audits, human factors, and key management practices.

Abstract :

With the advancing technology and rapidly growing need for solar energy, scientists are paying greater attention to photovoltaic systems to enhance efficiency. Dust accumulation and overheating are the main aspects of maintenance required for enhanced and longer yield performance of PV panels and are major hindrances to increasing the efficiency of the PV system. The temperature of the environment where the panels are placed decreases their efficiency and may lead to overheating. The accumulation of dust on the surface of solar panels decreases the ability of the panels to absorb light. Our paper aims to analyze the influence of cooling and cleaning mechanisms on the PV panel's performance by addressing the two issues. Our system uses cooling and cleaning systems to address the issues affecting PV panels' efficiency under overheating and dust accumulation and enhance their performance. We mount wipers on the solar panel to clean the dust from its surface and implant a piping cooling system under the solar panel to solve the overheating problem. The cooling system starts when the sensor's temperature of the panel surface exceeds the overheating threshold, and the cleaning system is timed by one hour to wipe the system automatically. We compared the power generated by the solar panel and calculated the system's efficiency with and without the cooling and cleaning systems. The results indicate that cleaning and cooling the PV panel’s surface decreases the operating temperature by 5 to 8 degrees, increases power output by about 4.5 watts, and improves efficiency by about 3%.

Abstract :

The investigation of new energy solutions is imperative in light of the prevailing climate changes and the pressing necessity to curtail carbon emissions. In this context, blue energy represents a promising energy resource with remarkable potential to contribute to clean energy production. In this study, the technique of energy generation by pressure retarded osmosis (PRO) was tested at the laboratory level. Different membranes and cells were tested using both synthetic waters and natural waters. The natural waters were collected from the Danube River (fresh water) and the Black Sea (salty water). A series of experiments were conducted to investigate the effects of varying parameters, including salinity concentrations, pressures, and flow rates. The data obtained from the various sensors employed to monitor the system's behavior were recorded electronically. The efficiency, effectiveness, and performance of PRO technology, as well as the inherent challenges associated with this technology, were investigated. The results demonstrated that blue energy has significant potential as a source of continuous, stable, and reliable energy. The incorporation of blue energy into the global energy mix has the potential to diminish reliance on fossil fuels, mitigate greenhouse gas emissions, and contribute to the mitigation of climate change.

Abstract :

In an effort to enhance 5G network performance, dynamic spectrum access poses a significant challenge, particularly in optimizing transmission efficiency. This concept paper proposes a framework that utilizes Deep Q-Networks (DQN) to dynamically manage spectrum resources in 5G networks. The primary objectives are to design and simulate a DQN-integrated transmission optimization framework and to evaluate its performance against other Deep Reinforcement Learning (DRL) algorithms such as Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A3C). The methodology involves developing a 5G network model and a DQN model using MATLAB, followed by running simulations to collect performance data on throughput, spectral efficiency, latency, packet loss, and energy per bit. By comparing these metrics across different DRL algorithms, the research aims to demonstrate the superiority of the DQN-based approach in optimizing transmission efficiency. The expected contributions of this study include providing a novel framework to improve data transmission while reducing energy consumption, thereby advancing the state-of-the-art in 5G network optimization.

Abstract :

The study aims to investigate the development and impact of a web-based application that seeks to centralize and streamline access to information about special education schools (SLB) and treatment facilities in the Malang Raya area. The rapid progress of information and communication technology (ICT) presents a huge chance to improve the delivery of services and the spread of information in the domains of education and healthcare, specifically for children with special needs. This research utilizes many data collection techniques, such as observations, interviews, and document analyses, to identify the precise requirements and difficulties encountered by parents and caregivers when seeking pertinent information. The program employs digital technology to centralize fragmented data, providing a user-friendly interface that enhances the effectiveness of data retrieval and facilitates streamlined decision-making for parents. The program offers several important features, such as interactive maps, comprehensive service descriptions, and a community forum. These features work together to promote stronger community support and improve communication between service providers and users. The study finds that the application effectively helps to decrease the digital gap, empowering parents and caregivers by offering timely and accurate information that promotes the optimal development of children with special needs. This research highlights the significant impact that ICT may have in developing educational and therapeutic environments that are more inclusive and responsive.

Keywords:

Special Education, Web-based Application, Information Accessibility, Therapy Services, Digital Inclusion

Abstract :

This study introduces an inno- vative system designed to refine song rec- ommendations based on the user’s expressed emotions. By leveraging a comprehensive database of songs spanning from 1950 to 2019, the system ranks and retrieves top songs, in- tegrating a feedback loop to enhance person- alized experiences. It also incorporates the Streamlit platform, enabling interactive input for personalized music recommendations.The objective is to elevate user engagement by pri- oritizing music selections finely attuned to the user’s emotional state, offering an enriched and tailored music recommendation service.

Keywords:

Music information retrieval, emotion- based model, metadata-based model, cosine similarity, content-based recommenda- tion, feedback loop

Abstract :

This study aims to address and prevent cases of femicide in Santiago de Surco, Lima, Peru, through an advanced mobile application that identifies patterns and risks using Big Data techniques. The application allows users to report cases of femicide and violence, comparing these data with records from the local police station to detect patterns and generate relevant statistics. It employs data preprocessing techniques such as one-hot encoding and the logistic regression algorithm to analyze large volumes of data, which will enable the prediction of femicide risks. The solution uses the Ethereum Blockchain to store reports through Smart Contracts, ensuring the immutability, transparency of the data, and protecting victims' rights against possible acts of corruption in the justice system. Communication technologies such as Twilio are integrated to send emergency alerts via WhatsApp messages, allowing the user's pre-assigned contacts to track her in real-time through an interactive map. The application offers alert activation through wearables and voice actions where manual use is not possible and can function in the background. This approach combines data analysis techniques, blockchain, and assistance tracking to provide a comprehensive solution to the issue, demonstrating its applicability to similar contexts and contributing to the advancement of gender violence prevention through technology

Abstract :

In this study, we examine the influence of the Work-Life Balance dimensions, namely WIPL (Work Interference with Personal Life) and PLIW (Personal Life Interference with Work), and Job Satisfaction (JS) on Turnover Intention (TI) in the context of Public Accounting Firms (KAP) in Indonesia. A survey was conducted on 114 employees working in various KAPs such as EY, PWC, KPMG, Deloitte, and other KAPs. This study uses quantitative analysis with the use of SmartPLS 4.0 for primary data management and SEM model acquisition. The results show that five out of seven hypotheses are accepted. The simulation of these effects shows that WIPL significantly affects JS and TI, while PLIW only affects JS and does not affect TI. Furthermore, JS significantly affects TI and mediates the effect of PLIW on TI, but JS does not mediate the relationship between WIPL and TI. This study found that employees who feel their personal lives are interfered with by their work lives are more likely to have the intention to leave the company. This study also shown that employees will be satisfied with their work if there is a balance between work responsibilities and personal life. Therefore, this study can be used to design human resource strategies that include a comfortable working environment while still giving employees the freedom to pursue personal activities outside of work in order to increase JS and minimize TI.

Abstract :

Access to drinking water, sanitation, and hygiene is a human right, although half the world's population suffers from water scarcity. This insufficiency is expected to worsen with rising global temperatures and climate change. Including the entire Society in the management of water resources will bring sustainability to human and ecological systems. Including the Society in the management of water resources will bring sustainability to human and environmental systems. This can be achieved with education; however, what are the essential topics in Education for Water (E4W)? In what areas of knowledge is it relevant? This research sought to answer these questions through quantitative analysis. We consulted 44 experts (47% females, 90% having postgraduate studies, and 71% working in the public education sector) and found that the most important E4W topics are Water Quality, Natural Availability, and Renewable Water. Additionally, they mentioned Hydric Resources Management and Awareness of Water. Although this topic is interdisciplinary and interinstitutional, most participants stated that E4W should only be addressed in certain areas of knowledge. In contrast, the authors, in agreement with the United Nations, consider that to strengthen the water security of communities, E4W must become a real object of study at all educational levels and areas of knowledge. This way we will be forming and developing the technology that Society 5.0 requires.

Abstract :

The main purpose of this study is to investigate the difficulties of students in learning biology. Especially, causes of difficulties in terms of subject-related factors, student-related factors and teacher-related factors were examined. A total of 100 Grade 10 learners participated in this study, and a descriptive quantitative design was administered. One survey instrument for student was used. For obtaining questionnaire reliability and validity, it was validated by the experts and tested using exploratory factor analysis (EFA). According to level of difficulties, causes of students’ difficulties learning were presented on percentage. Based on students’ responses the major cause of learning difficulties was presented on weighted mean and ranking. The results showed that the major causes of student’s difficulties in learning biology were abstractness and saturation of highly specialized foreign/Latin words of biology concepts, lack of manipulative skills of students in conducting biological experiments, students have hard time in grasping and understanding right away biological concepts and principles during teachers’ discussions, students did not like and can’t endure the long process of memorizations of biological facts, teacher’s teaching behavior such that teachers discussed the lesson so quickly, teachers lack in providing more illustrative examples and students’ struggles in listening to the teachers’ discussions while taking down notes at the same time.

Abstract :

The Students’ loss of interest in chemistry subject has been a long-standing serious problem in science education. This study was significant investigating the specific factors students’ aversion towards chemistry subject of senior high school students in MSU-Balindong Community High School. A total of one hundred forty (140) students employed simple random sampling from senior high school participated in the study. The instrument contained questions on students’ aversion towards chemistry subject such as nature chemistry of subject, teacher causes and students’ interest causes. Descriptive survey type of research design was used. It utilized the frequency, percentage and weighted mean statistics in analyzing the data. Finding revealed that the overall weighted mean on the nature of chemistry subject was described as neutral; teacher causes was described as neutral; and the students’ interest was described as neutral.The study recommend that teachers should connect to real life applications which highlight how chemistry is integral to everyday life and various careers. Teacher should be interactive teaching methods which incorporate hand-on experiment, interactive simulation, and multimedia resources.

Keywords:

Aversion, Nature of Chemistry causes, Teacher causes, Students’ interest causes

Abstract :

This research investigates the factors contributing to physics aversion among senior high school STEM students in Marawi City, Philippines. The study aims to identify and analyze the key elements leading to students' aversion to the subject. Data were collected using the Aversion in Physics Questionnaire (APQ), a self-developed instrument employing a 5-point Likert scale, which demonstrated high internal consistency (α = .908), indicating robust reliability in measuring the underlying construct. The questionnaire was administered to 212 public senior high school students in the STEM strand during the 2023-2024 academic year. Descriptive statistics and Spearman correlation coefficients were utilized for data analysis. The findings highlighted several significant factors contributing to physics aversion: difficulty in understanding physics concepts and principles (x̄ = 3.3066) under the nature of physics factor, the high frequency of problem-solving assignments (x̄ = 3.4292) under the teacher factor, lack of interest in solving real-life physics problems (x̄ = 2.9764) under the students' interest factor, and challenges with mathematical manipulation in problem-solving (x̄ = 3.8443) under the fear of mathematics factor. Among these, the fear of mathematics was identified as the predominant cause of physics aversion, followed by the nature of physics and teacher-related factors, while the students' interest factor had a comparatively lower impact. Additionally, all four factors—nature of physics, teacher-related issues, students' interest, and fear of mathematics—were found to be positively and significantly correlated with each other. This suggests a complex interplay between these elements in influencing students' aversion to physics.

Keywords:

Physics aversion, nature of physics, fear in mathematics, physics interest

Abstract :

The digital transformation has fundamentally altered the knowledge management landscape, necessitating the adoption of advanced technologies to handle the growing volume and complexity of information. This paper explores the role of AI chatbots in enhancing web- based knowledge management systems. It highlights the unique capabilities of chatbots in facilitating rapid information retrieval, providing personalized responses, and fostering continuous learning. It also explores the development considerations, advantages, disadvantages, and necessity of chatbots in this context, as well as the evolution of chatbot technology over time. The implementation of chatbots in web-based knowledge management portals offers several advantages. Chatbots provide instant availability and the ability to respond naturally through a conversational interface, offering the same benefits as a live interview. Moreover, chatbots demonstrate the capability to create engaging interactions with users, which can be leveraged to support engagement, goal-setting, and learning outcomes. However, the integration of chatbots in this context also presents some drawbacks. While recent advancements in natural language processing and machine learning have significantly improved the capabilities of chatbots, their understanding of conversational nuances and ability to provide contextually-appropriate responses is still limited. The findings suggest that the integration of AI chatbots can significantly improve the accessibility, responsiveness, and scalability of knowledge management platforms, ultimately enhancing organizational productivity and decision-making.

Keywords:

Physics aversion, nature of physics, fear in mathematics, physics interest

Abstract :

Material extrusion 3D printing has made significant strides, yet challenges remain in seamlessly integrating multiple polymer materials in a single print. This abstract introduces a novel technique that precisely overlaps two polymer materials during the printing process, expanding the capabilities of additive manufacturing. Leveraging advanced control systems to synchronize the deposition of two distinct polymers, this method ensures a seamless transition and strong adhesion between layers. Optimizing material flow rates, temperature profiles, and layer bonding mechanisms is crucial for achieving high-quality prints with enhanced structural integrity and material properties. This approach unlocks possibilities across various industries. For instance, in the automotive sector, it enables the fabrication of lightweight components with tailored mechanical properties, such as reinforced sections overlapped with flexible elastomers for vibration damping. In the medical field, the technique facilitates the creation of complex implants with biocompatible coatings for improved integration and reduced rejection rates. Beyond traditional applications, this technique paves the way for developing functional prototypes, customized products, and advanced composite structures with superior performance characteristics. Through collaborative efforts and continued innovation, this method promises to redefine the boundaries of additive manufacturing and drive the next wave of technological advancement. By enabling the precise deposition of overlapping polymer materials, it significantly enhances the potential of 3D printing technology, offering new solutions to complex manufacturing challenges and contributing to the advancement of various fields.

Abstract :

In this new world of technology and sciences, knowledge and skills in mathematics is an essential key in understanding disciplines related to science, technology, engineering, and other fields. They say that “without mathematics, there is no science, without science, there is no modern technology and without modern technology, there is no modern society (Sa’ad, Adam. & Sadiq, 2014). Despite the importance of mathematics in the real world scenario, several studies have revealed that many of the students in the basic education sector experienced mathematics anxiety. Thus, this research investigates the factors that causes mathematics anxiety among high school learners. The study utilizes survey research design - a nonexperimental design used to describe an individual or group by having the participants complete a questionnaire. Data were collected using the Causes of Students’ Anxiety in Mathematics Questionnaire (CSAMQ), a self-developed instrument which is highly reliable in terms of its internal consistency ( α = 0.935). It is focused on the opinions and feelings of students regarding mathematics anxiety and to know its major causes such as subject-related factors, student-related factors and teacher-related factors. Respondents were the secondary students from one of the national high school in the Division of Lanao del Sur 1 school year 2023 – 2024. The results revealed that the major factors that caused mathematics anxiety of the students were the abstract, difficult and complex concepts involved in this discipline. Further, interest and motivation of students in learning the area under discussion is a very important aspect to be considered in the teaching and learning process of mathematics.

Keywords:

Mathematics anxiety, nature of mathematics, students’ interest

Abstract :

Additive manufacturing is an emerging technology that encompasses broad spectrum of applications that caters client-specific needs. This study explores the modulation properties of PLA, ABS, and TPU materials in 3D printing for the development of patient-specific shielding designs in radiation diagnostics. By varying the infill density and infill patterns, the research aims to control the penetration of the X-rays to targeted regions, thereby enhancing the image quality and protecting the organs susceptible to damages at the same time. Numerical models are developed to establish the relationship between design density and attenuation, utilizing mass and linear attenuation coefficients calculated from EpiXS and XCOM software. Additionally, key attenuation parameters such as the half-value layer, tenth-value layer, mean free path, and electron density are calculated using the EpiXS program. The results indicate that adjusting the infill density and design substantially affects the material density and, therefore, the X-ray attenuation properties of the 3D-printed materials. PLA, ABS, and TPU samples with higher infill densities exhibited enhanced attenuation characteristics, making them potentially suitable for use in X-ray applications where precise dose modulation is Essential. This study underscores the significance of optimizing 3D printing parameters to improve the functional properties of printed materials for medical applications, thereby advancing the development of personalized and efficient X-ray therapy solutions.

Abstract :

The rapid expansion of digital commerce has significantly elevated part of electronic service quality (e-service quality) and brand experience in influencing competitive strategies, especially for global brands like Nike. As a dominant force in the sportswear industry, Nike has continually adapted to meet its customers' evolving needs, not only by offering innovative products but also by delivering high-quality digital experiences. This study specifically examines Nike’s Indonesian market, exploring the effects of e- service quality and brand experience on brand loyalty, with customer satisfaction acting as a mediating variable. There was utilization of a quantitative research design and information was gathered through Google Forms using purposive non-probability sampling, resulting in a total of 207 respondents. The information was examined using Structured Equation Modelling-Partial Least Square (PLS-SEM) to investigate the connections between the variables. The outcomes show that e-service quality has a substantial beneficial result for both customer satisfaction and brand loyalty, indicating that a strong digital service environment is essential to fostering loyalty. Additionally, brand experience constructive effects customer satisfaction, though it doesn't directly impact brand loyalty. Customer satisfaction was also shown that pleasure acted as a mediator in the connection between e-service quality and brand loyalty positively, underscoring its significance in efforts for keeping customers. However, the mediating role of customer satisfaction between brand experience and brand loyalty was not supported by the data. These findings provide valuable insights for global brands like Nike, highlighting the significance of enhancing e-service quality and focusing on customer satisfaction to strengthen brand loyalty in a competitive digital landscape.

Keywords:

e-service quality, brand Experience, customer satisfaction, brand loyalty, Nike Brand

Abstract :

This study presents a bibliometric analysis of research trends on regulatory frameworks on Financial Technology (Fintech). This review is to identify key trends, influential authors, leading journals, and emerging themes in this dynamic field. Using the Scopus database, we extracted relevant publications from 1998 to 2024 and employed bibliometric techniques to examine citation networks, co-authorship patterns, and keyword co-occurrences. The results illustrate the evolution of research topics over the years, highlighting significant transitions from traditional regulatory issues to contemporary challenges such as digital currencies, blockchain, and regulatory sandboxes. The analysis also reveals regional and institutional collaborations, demonstrating increased research output from developed and emerging markets. This paper presents a comprehensive overview of the current state of the study. It makes recommendations for future avenues for research into the regulation of Fintech, making it a helpful source for academics, lawmakers, and industry practitioners. Keywords: financial technology, fintech, regulations, financial industry, regulatory landscape, bibliometric analysis, regulatory impact.

Abstract :

Investment behaviour is a complex and vital field that warrants thorough examination. This research paper seeks to provide a detailed understanding of the factors that influence people's financial investment decisions, equipping policymakers, financial institutions, and investors with the knowledge to make decisions that can positively affect the global economy. Currently, developing countries invest just over 30% of their GDP, nearly double the investment rate of high-income countries, which stands at around 17%. This significant disparity underscores the critical role of investment in shaping the future of our world. As the global economy becomes more interconnected, it is increasingly important to analyze and understand investment behaviour to foster positive growth and development. In this paper, we delve into the key factors that drive individuals' investment decisions, promoting a deeper understanding of the purpose of investment and its transformative potential. By thoroughly comprehending investment behaviour, we can make informed decisions that positively impact our financial future and the world around us.

Keywords:

Investment Behaviour, Investment decisions, positive growth, financial future

Abstract :

This research shows how entrepreneurial orientation, dynamic capability, and innovation capability impact the performance of food and beverage SMEs in the Jabodetabek area, with competitive advantage acting as a mediating factor. SMEs in this sector face growing challenges in improving performance and maintaining a competitive edge in an increasingly dynamic business landscape. The objective of this study is to show that enhancing entrepreneurial orientation, along with developing dynamic and innovation capabilities, can significantly influence both firm performance and competitive standing. Data was collected through structured questionnaires distributed to SME owners in Jabodetabek, and the analysis involved regression and mediation techniques. The results demonstrate that entrepreneurial orientation, dynamic capability, and innovation capability strongly influence both firm performance and competitive advantage. Furthermore, competitive advantage serves as an important mediator in the relationship between these factors and performance, emphasizing its role in optimizing business capabilities for better outcomes. The study suggests that for SMEs to succeed in a competitive market, they need to foster an entrepreneurial approach while continuously adapting and innovating. It contributes to the existing literature by providing empirical evidence on how these capabilities can enhance performance and competitiveness in SMEs. For SME owners and managers, the findings highlight the need to build dynamic and innovative capabilities to remain competitive and ensure sustainable business success. Future studies could explore these dynamics across different industries and regions.

Abstract :

In the contemporary global landscape, Indian institutions are increasingly recognizing the pivotal role of strategic management in shaping international relations. This paper explores how strategic management principles are employed by Indian educational and governmental institutions to build and enhance international relations. By integrating strategic management frameworks with international relations theories, Indian institutions are able to navigate complex global dynamics, foster international collaborations, and enhance their global standing. The study delves into various strategic initiatives undertaken by Indian institutions, such as international partnerships, global research collaborations, and student exchange programs. It highlights the importance of strategic planning, resource allocation, and stakeholder engagement in achieving internationalization goals. Furthermore, the paper examines case studies of successful strategic management practices in Indian institutions, illustrating how these practices contribute to building robust international relations. Through a comprehensive analysis, this paper aims to provide insights into the symbiotic relationship between strategic management and international relations within the Indian context. It underscores the necessity for Indian institutions to adopt a strategic approach to internationalization, thereby positioning themselves as key players in the global arena.

Abstract :

Concrete is one of the most widely used materials worldwide and depending on different manufacturing factors, as well as the use of aggregates, the physical-mechanical properties and durability of concrete can be different. The objective of this research was to determine whether the application of lignocellulosic waste (sawdust) in conventional concrete allows for the improvement or detriment of its mechanical, physical and thermal properties. The Peruvian Technical Standard (NTP) and international standards (ASTM) were considered as methodology for the tests of water absorption, density, shrinkage, compressive strength and thermal transmittance. Of the 4 dosages carried out: traditional concrete (standard), with 2.5% sawdust, with 5% sawdust and 7.5% sawdust. The results show that the blocks with 2.5% and 5% sawdust dosage are classified in category A (Strength greater than 7.5 MPa) which means that they can be used in structural applications, however, the blocks with 7.5% sawdust are classified in category B (Strength between 5.0 MPa and 7.5 MPa), limiting their application in non-structural construction systems. Regarding physical properties, the blocks with 7.5% sawdust dosage show a lower density (1.631 g/cm3) and a higher absorption percentage (9.93%) than all of them, however, this absorption percentage is within the permitted limit for concrete blocks. While the thermal conductivity of the block was low due to the presence of air in the pores of the sawdust which makes it a good insulator; due to this property, blocks with sawdust can improve the energy efficiency of a structure, maintaining more stable indoor temperatures. From the results it can be concluded that the block with 5% sawdust dosage is the most efficient mix design, since it combines good compressive strength, increasing its applicability in the construction industry, as well as adequate thermal and physical behavior, which gives added value to the product as a construction piece.

Abstract :

Stunting is a significant public health concern with long-term consequences for children's physical and cognitive development. Traditional stunting classification methods often fail due to the complexity and imbalance of health data. This study proposes a novel technique combining Support Vector Machines (SVM) with Synthetic Minority Oversampling Technique (SMOTE) and Tomek Links to address these challenges. The proposed method was evaluated on a dataset from Kecapi Jepara, focusing on children's nutritional status before and after vitamin intervention. The results showed a significant improvement in classification accuracy, with an F1-score improvement of 12% and a 10% increase in overall accuracy compared to conventional methods. Specifically, the use of SMOTE and Tomek Links corrected the data imbalance, reducing the misclassification of stunted children by 15%. By incorporating these advanced machine learning techniques, the study offers a robust framework for early stunting detection, providing valuable insights for targeted public health interventions and contributing to global efforts to reduce stunting prevalence.

Keywords:

Stunting classification, SVM, SMOTE, Tomek Links, Imbalanced data, Public health

Abstract :

The advancement of information technology has significantly accelerated the development of big data, statistics, and machine learning technologies. The utilization of statistics to harness the potential of extensive data in various aspects of life and leverage it for the enhancement of machine learning technology is a critical concern for contemporary researchers. In this paper, we employ multiple linear regression (LR) analysis using the Jeffreys Amazing Statistics Program (JASP) tool to investigate the impact of 5 factors (hours of study (HS), previous scores (PS), participation in extracurricular activities (EA), amount of sleep (SL), and the number of sample question papers practiced (SQPP)) on the students’ performance. The derived multiple linear regression formula from JASP will be applied in PyCharm to predict the performance of an additional 1000 students. Our experimental results reveal the substantial influence of the five factors (HS, PS, EA, SL, SQPP) on students' performance. Apparently, the accuracy of the model produced by JASP is higher than the accuracy of the multiple LR model in PyCharm, with a remarkably low mean squared error (MSE: 0.0005311), mean absolute error (MAE: 0.0161541) and root mean squared error (RMSE: 0.0230456). Compared with the LR model results in PyCharm, the MSE, MAE, and RMSE of the JASP output model increases of 40%, 12% and 20% respectively. The multiple LR model in statistical software supports researchers to quickly obtain a more accurate LR model. The objective of this article is to reveal that the multiple LR algorithm of machine learning built into statistics tool (JASP) can help scholars obtain more accurate models faster and easier. Aside from that, this paper provides researchers with a new idea that the scholars can use the algorithm models built into statistical tools to quickly discover the meaning behind the data, and the accuracy of models produced by statistical tools can be regarded as a reference for tuning models. In addition, the predictive results can aid educators and students in adapting their educational and learning strategies.

Keywords:

Multiple Linear Regression; Statistics; Machine Learning; Jeffreys Amazing Statistics Program (JASP); PyCharm; students’ performance; mean squared error (MSE); mean absolute error (MAE); root mean squared error (RMSE)

Abstract :

In the construction process, there is a design and planning process. In the design and planning process carried out by an architect, comprehensive concepts are used from learning outcomes and experience. In some projects, there are problems with client dissatisfaction such as changes in drawings in the middle of implementation and misunderstandings between clients and architects. Many problems arise even though in general architects only provide a maximum of three drawing revisions, so there is no meeting point between the architect and the client. Unwittingly, every human being has a different personality character. Experts have put forward theories of these differences, including the Hippocrates-Galenus personality character theory, MBTI, and Ocean. In this study, the researcher sought a relationship between personality character based on the Hippocrates-Galenus theory, and the perception of comfort in interior architectural space. Thus, if there is a relationship, it will be very helpful for an architect to know the client's personality character in advance so that the design will be more targeted, not based on trial and error. This study uses a quantitative descriptive method, looking for correlation and regression. VR headsets and EEG were used to explore the personality characteristics of 40 respondents who were separated into four categories: choleric, melancholic, sanguine, and phlegmatic. The study covers the senses of sight, hearing, smell, and touch. Researchers found a relationship between personality traits and perception of comfort, where each character (melancholic, choleric, phlegmatic, and sanguine) has a different perception of comfort towards the room's interior.