bluuebunny/crossref_metadata_2025 huggingface dataset:
The Diet Equation: Linking Food, Genetics, and Wellness
Authors: Ghazanfar Shakira
Published: November 2024

Recent research demonstrates that food affects our physiology, and genetic code, influencing health and life span.  Our knowledge of diet and wellness has increased significantly, highlighting the connection between our genetic makeup and what we eat in our daily routine. This method changes our conviction about health and offers a modified path to a great lifestyle [1].
Historically, all types of dietary guidelines were based on the study of a large population and generally recommended to everyone.  After the involvement of genetic research, the approaches have been different now, a study revealed that everybody processes food and absorbs nutrients differently according to their genetic makeup. For example, some people might metabolize caffeine slowly compared to others, whereas some people have a genetic tendency to lactose intolerance. As per the type of nutritional information, it is stated that nutrients can change the genetic information over the generations.
Nutritional genomics also known as nutrigenomics, explores the relationship between the human genome, diet, and health outcomes. Researchers reveal how our body responds to different types of food and nutrients, and also identify the interaction between specific food compounds and genes. Food contains micro and macronutrients and their breakdown activates the genetic switches to regulate the genome.
Furthermore, the development of individual genetic testing helps to identify the personal genetic makeup and design their food accordingly, helping to make decisions about the nutrients. The significant increase in cases of diabetes, cardiovascular disease, and obesity has been linked to the high sugar and fat content typical of Western lifestyles. Medical anthropologists and researchers have termed this phenomenon a ‘disease of civilization’.
Despite these advancements in the field of nutrigenomics, the integration of genetics and diet is not without challenges. One of the major concerns is the interpretation and application of genetic information. Furthermore, there is a need for more rigorous clinical studies to validate the effect of a personalized based diet on genetic information.
Additionally, ethical considerations surrounding genetic data privacy and potential misuse of genetic information are paramount. Assurance that genetic data is handled with confidentiality and that personalized dietary recommendations are based on robust scientific evidence is crucial for maintaining public health.
With the advancement in genomics, data science, and biotechnology. We can anticipate a more nuanced understanding of how genetic variations influence nutritional needs and health outcomes.
In conclusion, the intersection of genetics, food, and wellness represents a promising frontier in personalized medicine. As research and technology progress, the diet equation will become increasingly sophisticated, paving the way for a future where our diets are as unique as our genetic blueprints.
Bridging the Digital Divide: Unveiling the Usage Level of Digital Educational Tools among Teachers and Students of Target Region (A Case Study of Gilgit- Baltistan, Pakistan)
Authors: Lee Cheng-Wen , Ullah Ehsan
Published: November 2024

The purpose of this assessment is to identify gaps in access and availability of digital tools, as well as to evaluate their effectiveness in improving learning outcomes. A total of 300 students and 100 teachers were randomly selected from different government, private, and NGO higher secondary schools in GB. A questionnaire was created using the LIKERT scale and given to both teachers and students. Afterward, a statistical analysis was conducted. An effort was made to determine the variations in teachers’ gender using the T-test, and to analyze the differences in school types for students using one-way ANOVA. Revealing the average mean usage of digital educational tools by both teachers and students is (3.163272, 3.163272). The analysis indicates that both teachers and students have moderate usage level of digital educational tools. Additionally, both teachers and students lack advanced-level skills in using digital tools for teaching and learning, furthermore The usage level of educational digital tools in private schools is moderate, while in government schools it is low, and in NGO-based schools, it is again at a moderate level skills in learning. The usage level of digital educational tools in schools has significant implications for academic outcomes, teacher quality, and resource allocation. Integrating digital tools effectively can improve learning outcomes, increase accessibility, and personalize instruction.
Are We Prepared as Management Undergraduates for an AI-Driven Future?
Authors: Anjala Kristy
Published: November 2024

This study investigated the attitudes and perceptions of management undergraduates towards Artificial Intelligence (AI) in higher education. Drawing on survey data from 185 management undergraduates across three leading public universities in Sri Lanka, the study examined the respondents’ perspectives towards AI along with seven distinctive domains of General Perception and Awareness, Comfort and Confidence, Education and Curriculum Design, Ethical Considerations, Impact of market jobs, Learning experience and Future Preparedness. Employing cross-sectional descriptive research design, an online survey using Google Forms was administered to collect data, covering seven sub-areas related to AI awareness and attitudes. Results indicated a moderate level of knowledge about AI concepts among management undergraduates, coupled with a significant gap in formal education and awareness about AI technologies within their academic curriculum. While many undergraduates expressed optimism about the positive impact of AI on their performance and the job market, there is a clear need for increased integration of AI topics into academic programs to enhance skills and knowledge of the undergraduates in this rapidly evolving field. Ethical considerations surrounding AI emerged as an important area of concern, highlighting the need for greater awareness and education on AI ethics within academic curricula. Accordingly, the study contributes valuable insights to the growing body of literature on AI in higher education and emphasizes the importance of addressing the evolving role of AI in preparing management undergraduates for the future.
ESL Pre-Service Teachers’ Literacy and Acceptance of ChatGPT as a Generative AI Tool for Writing: A Sequential Explanatory Study
Authors: Balatero Lea Me , Jayno Jessie Rose , Miranda Khif Muamar
Published: November 2024

The main objective of this research is to explore how ESL pre-service teachers perceived ChatGPT, a generative AI tool for writing, and the factors shaping their perception of ChatGPT for writing skills in an educational context. The research aims to investigate ESL pre-service teachers’ awareness, acceptance, perception, and the interplay between these factors regarding ChatGPT for writing. A sequential explanatory research design was employed and utilized complete enumeration sampling. The sample consisted of 80 undergraduate students enrolled in the Teacher Education Department English majors were used to collect students’ engagement data including students’ perceptions and usage of the platform, and user experiences were examined using the data using a 5-point Likert scale. Also, an in-depth interview was conducted with ten (10) students based on those who got the highest and lowest scorers in the Quantitative phase to understand deeper experiences in using ChatGPT and to explore design opportunities for leveraging ChatGPT as a generative AI tool for writing in the field of ESL education. The findings emphasized the awareness and acceptance of ChatGPT in writing. However, there were limitations to consider. These challenges encompassed issues such as inaccurate automated responses and the possibility of plagiarism. Despite these limitations, the research findings demonstrate that ChatGPT is effective writing tool. As researchers who experienced the process of different writing styles using ChatGPT, researchers believe that its potential needs to be maximally utilized. We suggest its application across different subjects and disciplines to examine its strengths and weaknesses in depth thoroughly.
Developing music teaching capacities for primary education students at Tan Trao University to meet the 2018 general education curriculum
Authors: Van Huong Mai Thi
Published: November 2024

The article discusses theories of music teaching, the content of music within the 2018
general education curriculum, and the current situation of teaching music courses to
primary education students at Tan Trao University. It proposes three methods to
enhance the teaching capacities of primary education students in music teaching to
meet the requirements of the new general education curriculum. The research results
contribute to improving the music teaching capacities of primary education students
to meet the new demands and training objectives of the university.
MULHERES CAMPONESAS E FEMINISTAS E A AGROECOLOGIA
Authors: Kubiak Cristiane , Marques Siomara Aparecida
Published: November 2024

Historicamente, as mulheres foram vítimas do sistema patriarcal e das desigualdades de gênero. Este estudo objetiva analisar como a pedagogia feminista e a prática da agroecologia podem contribuir no processo de transformação social das mulheres camponesas da região da Cantuquiriguaçu/PR. Buscou-se por meio desta pesquisa, verificar qual foi a influência da agroecologia na vida das mulheres camponesas, moradoras em acampamentos e assentamentos de reforma agrária participantes do Movimento dos Trabalhadores Rurais Sem Terra (MST) por meio de entrevistas com perguntas semiestruturadas e que foram, na sua maioria, realizadas nos lotes das entrevistadas. Essas mulheres vivem nos municípios paranaenses de Laranjeiras do Sul, de Rio Bonito do Iguaçu e de Nova Laranjeiras. Por muito tempo, as mulheres camponesas viveram no anonimato, invisíveis perante a sociedade. Elas ficavam restritas aos ambientes domésticos e destinadas a cuidar da família e da casa, ou seja, viviam em um universo extremamente dominado pelo patriarcado. Os primeiros passos em busca da emancipação feminina foram dados por aquelas que, talvez, nem se consideravam feministas, mas que possuíam tais características por lutarem pelo acesso à terra e condições dignas de vida para suas famílias. Nesse sentido, buscou-se compreender de que forma o “ser feminista” e a agroecologia contribuíram para a transformação social de mulheres camponesas da região da Cantuquiriguaçu.
SILÊNCIO QUE GRITA: O DISTINGUISH E CONSENTIMENTO DO ESTUPRO DE VULNERÁVEL À LUZ DA SÚMULA 593 DO STJ
Authors: Ferreira Nicolle Gioia Farias Coutinho , Martins Sarah Ribeiro , Teixeira Yuri Ygor Serra
Published: November 2024

A presente pesquisa analisa as consequências da aplicação da técnica jurídica de distinguish em relação à Súmula 593 do STJ, no contexto do estupro de vulnerável. O objetivo é avaliar a compatibilidade da técnica com o entendimento consolidado e seus impactos na segurança jurídica. A discussão aborda conceitos essenciais, como a definição de vulnerável e a irrelevância do consentimento, sustentada por fundamentos jurídicos. A técnica de distinguish é importante no direito penal, mas sua aplicação pode gerar riscos, como insegurança jurídica. A análise de jurisprudências relevantes examina critérios utilizados e fundamentos jurídicos que embasaram decisões. As consequências da aplicação da técnica são investigadas, enfatizando impactos na proteção dos direitos das vítimas e desafios enfrentados pelo sistema jurídico. A metodologia utilizada foi pesquisa documental e bibliográfica, com abordagem indutiva e qualitativa. O trabalho defende um viés protecionista à vítima de estupro de vulnerável, centralizando-se na realidade do sistema jurisprudencial brasileiro. Os resultados destacam a necessidade de equilíbrio entre flexibilidade e segurança jurídica. A técnica de distinção deve ser utilizada com cautela, protegendo os direitos das vítimas e promovendo a justiça. A pesquisa conclui que a aplicação da técnica de distinguish deve ser feita com cuidado, considerando os impactos na proteção das vítimas e na segurança jurídica.
PNEUMONIA TUBERCULOIDE COMO DIAGNÓSTICO DIFERENCIAL EM PACIENTE COM CONSOLIDAÇÃO PULMONAR E DERRAME PLEURAL
Authors: Rodrigues Núbia Souza , Freitas Maria Gabriela Tirelli de , Araújo Pedro Victor Oliveira
Published: November 2024

A tuberculose (TB) continua sendo uma das doenças infecciosas mais relevantes globalmente, especialmente em países com alta carga, como o Brasil. A pneumonia tuberculóide (PT) é uma manifestação rara da TB, frequentemente confundida com pneumonia adquirida na comunidade (PAC), devido à semelhança de seus sintomas. Este artigo relata o caso de um paciente de 68 anos, inicialmente diagnosticado com PAC, mas que, após falha no tratamento antibiótico, teve diagnóstico de tuberculose pleural confirmado. O relato destaca a importância do diagnóstico diferencial entre PT e PAC, especialmente em áreas endêmicas, e a necessidade de investigação detalhada para diagnóstico precoce e tratamento adequado. O paciente foi tratado com o esquema RIPE, apresentando melhora clínica significativa.
Cybersecurity Threats and Solutions in Autonomous Vehicles
Authors:   San Francisco, California, USA, Shetty Saiman , Jaiswal Harsh ,   Mumbai, Maharashtra, India
Published: November 2024

Abstract—The integration of autonomous vehicles
into modern transportation systems introduces both
transformative potential and significant cybersecurity
challenges. This paper examines the critical importance
of cybersecurity in autonomous vehicles, highlighting
key threats such as remote hacking, sensor spoofing,
and data breaches that jeopardize vehicle safety and user
privacy. Utilizing a mixed-methods approach, the study
combines quantitative data analysis with qualitative
case studies to thoroughly assess these vulnerabilities.
Additionally, it evaluates a range of solutions, including
advanced intrusion detection systems, robust encryption
protocols, and machine learning-driven threat
prevention methods. The findings reveal that while
technological advancements offer effective
countermeasures, continuous innovation and
collaboration among manufacturers, cybersecurity
experts, and regulatory bodies are crucial in adapting to
evolving threats. This research provides strategic
insights and practical recommendations for enhancing
the security of autonomous vehicles, thereby
safeguarding public safety and reinforcing trust in
automated transportation systems.
Index Terms—Cybersecurity, Autonomous Vehicles,

Threat Analysis, Intrusion Detection, Vehicle-to-
Everything (V2X), Data Privacy
Implementing Multi-Touch Attribution at Scale for a Global Sales and Marketing Team in an Enterprise Environment
Authors: Kukkuhalli Shreesha Hegde
Published: November 2024

Multi-touch attribution (MTA) offers a sophisticated, data-driven approach to distributing credit across touchpoints
within the customer journey [1] [2], thereby enabling more precise insights into channel and campaign performance.
However, implementing MTA at scale for a global enterprise's sales and marketing team presents unique challenges,
including the need to integrate disparate data sources, handle vast data volumes, apply advanced attribution models,
and provide insights in real-time. This paper presents the design and implementation of a scalable MTA framework
tailored to the needs of a global sales and marketing team, leveraging cloud-native infrastructure, big data processing,
and machine learning algorithms to achieve accurate and actionable insights at scale. The proposed MTA solution
addresses data heterogeneity by creating a unified data pipeline that integrates structured and unstructured data from
CRM systems, web analytics, social media, paid media platforms, and offline sources.
Keywords: Multi-touch attribution, sales and marketing, data integration, machine learning, cloud computing,
enterprise analytics.
THE STRATEGIC ROLE OF INTELLECTUAL CAPITAL AND FINANCIAL TECHNOLOGY IN IMPROVING MSME PERFORMANCE IN BANYUMAS REGENCY
Authors: Suparno Chandra , Sulistyandari Sulistyandari , Novandari Weni , Widiastuti Ekaningtyas
Published: November 2024

The existence of Micro, Small and Medium Enterprises (MSMEs) plays a significant role in contributing to the growth of the Indonesian economy. MSMEs are required to optimize their resources, especially non-physical resources, and utilize existing financial technology (Fintech) in order to be able to compete and develop at all times. Intellectual capital is increasingly recognized as a strategic asset that is considered important for sustainable profits. Business support by utilizing financial technology will improve business performance. The goal of this research is to investigate the impact of intellectual capital and financial technology components on the performance of MSMEs. The resulting sample was 66 respondents who were MSME business actors. The method used was Multiple Regression analysis. The results of the study found that customer capital and structural capital, which are elements of intellectual capital, affect MSME performance, while human capital, social capital, spiritual capital and financial technology do not affect MSME performance. Thus, the elements of intellectual capital owned by MSMEs need to be utilized optimally to achieve competitive advantage and maintain business existence.
Modern İktisat ve Hz. Peygamber’in Sünneti Perspektifinde Sermaye Birikiminin Değerlendirilmesi: Mukayeseli Bir Yaklaşım
Authors: Kümbet Teoman , Özsoy Abdulvahap
Published: November 2024

Hz. Peygamber’den (sas) sermaye birikimini destekleyen hadisler ve uygulamalar nakledildiği gibi, biriktirilen bu sermayenin nasıl kullanılacağı veya ne şekilde değerlendirileceğini açıklayan birçok hadis rivayet edilmiştir. Bu hadis ve uygulamaların geneline baktığımızda Rasûlullah (sas) biriken sermayenin genelde, üretim ve kalkınma alanında ve bunu destekleyecek mahiyette olan faiz yasağıyla birlikte karz-ı hasen, infâk, emek-sermaye ortaklığı gibi alanlarda değerlendirilmesini tavsiye etmiştir.
Yeni Bir Göç Türü Olarak Seçim Göçü ve Türk Siyasi Hayatına Etkileri
Authors: Kocatepe Mehmet
Published: November 2024

Türkiye’de göç, demografik bir olgu ve Türkiye’nin siyasi sistemini etkileyen önemli bir faktördür. Bu makale, literatürde ‘seçim göçü’ olarak adlandırılan bu yeni göç türünün dikkate alınmasını sağlamak amacıyla Adrese Dayalı Nüfus Kayıt Sistemi’nin (ADNKS) uygulamaya konulduğu 2007 yılından bu yana Türkiye’deki göç hareketlerini analiz etmektedir. Geleneksel göç hareketliliğinin aksine, dönemsel göçün nedenleri arasında hızlı ulaşım, etkin iletişim, ekonomik etkilerden daha ağır basan sosyal etkiler ve metropollerde yaşayan kırsal nüfusu doğdukları bölgeye taşınmaya motive eden sosyal ve psikolojik nedenler yer almaktadır. Makalenin metodolojisi, nicel veri analizini içermektedir. Nicel veri olarak 2009-2019 yılları arasındaki göç ve nüfus hareketlerine ilişkin TÜİK verileri kullanılmıştır. Bu veriler, seçim dönemleri öncesindeki hareketliliğe ilişkin istatistiksel analizlerle değerlendirilmiş, özellikle yerel seçimlerin arifesinde artan göç hareketleri gözlemlenmiştir. Bu gerçeklerden yola çıkarak, Türkiye’de seçim göçü kavramının üzerinde durulması gereken yeni bir kavram olduğu ve il siyasi sistemlerinin ve idari birimlerin de seçim göçünden etkilendiği söylenebilir. Özetle, seçim dönemlerindeki göç hareketleri Türkiye’nin mevcut siyasi sistemini anlamak açısından büyük önem taşımaktadır. Bu nedenle, politika yapıcılar ve analistler seçim stratejilerini değerlendirirken ve gelecekteki siyasi gelişmeleri tahmin ederken göç eğilimlerini dikkate almalıdır.
English language teaching through student-centered activities: An overview
Authors: R. B Dhivya. , M Ilankumaran
Published: November 2024

Student-centered activities in teaching English transform the traditional role of teachers and learners in the classroom. This method moves the emphasis from the instructor as the exclusive authority to the students as active contributors to their own education. In this paper, the roles of teachers and learners in student-centered activities of teaching English, highlighting their responsibilities and contributions to creating a dynamic and active learning environment have been explored. It takes a dynamic, inclusive approach to teach English to multiple students, taking into account their varied backgrounds, requirements, and skill levels. This paper also projects effective strategies and approaches for teaching English to multilevel students, seeking to establish a welcoming classroom that accommodates each student's unique requirements. With these strategies and approaches, teachers can effectively nurture the language skills of multilevel students, equipping them with the tools for successful communication and fostering their growth as global citizens. Teaching English to multilevel students presents a host of challenges that educators must navigate effectively. By embracing certain roles, teachers and learners forge a partnership that empowers learners and cultivates a lifelong love for learning English. As a whole, the benefits and strategies of teaching English through student-centered activities, emphasizing the importance of empowering students and promoting meaningful language acquisition have also been discussed in detail.
Modified energy efficient multi-level and spectrum aware unequal clustering with primary user classification in cognitive radio sensor networks
Authors: Subrahmanyam Ch , Lakshmi T.R. Vijaya , Kumar K. Praveen , Naidu M. Lakshmu , Sireesha Majeti Venkata , Sujeetha G. Spica
Published: November 2024

The study has produced a cross-layered routing protocol, which was built as part of the research. This protocol uses an updated contention window technique and Particle Swarm Optimization (PSO) to construct consistent and energy-efficient network routing pathways. The protocol was established as a result of the study. The PSO algorithm takes into account a variety of metrics, including as the Traffic index, Average energy load, data success rate, and trust value, in order to successfully optimize routing patterns. These parameters are all calculated at the network layer. Contention windows at the MAC layer are constantly modified according to real-time measurements of contentions and average energy loads. This further improves the efficiency of communication by taking into account the data. The trustworthiness of a node is decided by taking into account not only the quality trust that is generated from the node's Quality of Service (QoS), but also the group trust that is offered by neighbouring nodes. As a consequence of this procedure, detailed trust ratings are bestowed onto individual nodes; these ratings serve as a guide for selecting relay nodes. In addition, the study presents a dual authentication system, which incorporates advanced dual authentication (EnDA) methodologies and key management processes to strengthen data security and guarantee data integrity. In addition, Elliptical Curve Cryptography (ECC) and Diffie-Hellman key exchanges using bilinear maps have been employed to further strengthen the security of communications. According to the findings of the tests, the suggested protocol has impressive performance in terms of successfully establishing a secure key agreement while data is being sent and maintaining acceptable levels of energy usage.
Microplastic detection and identification in edible bivalves from Dolores and Oras, Eastern Samar
Authors: Nibalvos Aljon Victor G. , Nibalvos Cristina T. , Obina Maricar T.
Published: November 2024

Microplastics are very minute plastic fragments that contaminate the environment and the organisms around it. One such important organism is bivalves. In Oras and Dolores, bivalves, specifically, Corbicula fluminea or “bibe” are well known for its economic importance. Henceforth, this study was conducted to detect the presence of microcontaminants or microplastics in the bivalves, being sold in the localities of Oras and Dolores, Eastern Samar. Digestion and Filtration procedures were used to attain consistent results with emphasis on current quality controls. Results revealed the presence of microplastics in the bivalve species collected on both sampling sites. Furthermore, it was found out that most microplastics were microfibers, mostly are filamentous and has the transparent/white to blue coloration. This results suggest the contamination of these non-biodegradable to edible bivalves which may pose health threats once eaten or utilized for various use.
An exploratory examination of the willingness to adopt mobile banking services
Authors: Inoubli Chiheb Eddine , Sallami Mourad
Published: November 2024

The significance of digital marketing or mobile marketing is growing steadily as a potent strategy in service marketing. In this article, our focus is on unraveling the factors that shape an individual's inclination to engage with mobile banking. Drawing on the Technology Acceptance Model (TAM), we gathered 350 questionnaires from mobile banking service users in Tunisia. Our analysis reveals that perceived attitude, trust, and word-of-mouth play a constructive and notable role in influencing the intention to use mobile banking. Furthermore, perceived usefulness and ease of use exert an indirect impact on the intention to adopt mobile banking.
Limitations and potentials of ChatGPT-4 in gender expression: A future research outlook from a feminist perspective
Authors: Wang Yunning
Published: November 2024

This paper explores the limitations and potentials of ChatGPT in gender expression, with a particular focus on its impact on gender bias and stereotypes. As a generative model relying on vast training data, ChatGPT often reflects societal gender biases and stereotypical representations of traditional gender roles in its content generation. This phenomenon may lead ChatGPT to unintentionally reproduce or even reinforce these biases, further solidifying associations of "male dominance" and "female subordination," thereby limiting the diversity of gender role expressions. Adopting a feminist perspective, this study reviews core feminist principles and analyzes the potential of ChatGPT-4 and its image generation model, DALL-E, to express female subjectivity, promote diverse representations, and challenge stereotypes. Additionally, this paper reveals the technical and ethical challenges posed by data bias and algorithmic prejudice in ChatGPT, highlighting their implications for gender-equitable expression. To achieve more inclusive and diverse gender representation, this study proposes future directions for improvement, aiming to advance ChatGPT’s development from a feminist perspective through diversified and balanced data handling and optimized generative model structures.
Determining post-pandemic organizational health in the education sector: A review of a school-based workshop programming intervention
Authors: Trudel Lesley Eblie , Sokal Laura
Published: November 2024

The purpose of this study is to evaluate the effectiveness of a post-pandemic, school-based workshop programming intervention developed by a national mental health organization, to support education sector employees as they navigate post-pandemic challenges. Using a qualitative approach, data were gathered through post-workshop interviews conducted during the 2022-23 school year, and analysed according to five key indicators of organizational health: connectedness, organizational commitment, well-being, recovery and resilience.  Findings indicate that while some participants continued to report role strain in each of these areas, highlighting the need for improved worklife balance, the workshop intervention positively influenced employee well-being through enhanced awareness of mental health resources and increased capacity for supportive dialogue with colleagues. This was notable specifically, when participants were aware of their emotional resilience and able to manage it effectively. The study highlights the vital role of sensemaking in helping education sector employees interpret complex or challenging situations.  The research demonstrates that understanding these nuances can better inform future programming aimed at reducing further stress, minimizing additional burnout and preventing potential staff turnover. Accordingly, practical insights are suggested to guide the development of initiatives that enhance employee well-being, strengthen individual resilience and reinforce organizational commitment within the sector, factors that ultimately contribute to more sustainable and supportive work environments in education.
The roadmap in selecting a supervisor for Cambodian graduate students in health sciences
Authors: Sok Phan , Sin Chea
Published: November 2024

With a remarkable increase in the number of students pursuing higher education in Cambodia over the past decade, this article aims to provide practical tips for Cambodian students pursuing a master’s or doctoral degree in health sciences on how to select a supervisor. Unstructured literature searches were conducted, and key factors are outlined to consider when selecting a supervisor, including research interests, statistical expertise, scholarly publication record, mentorship, financial support, expectations, and decision making. Each of these aspects is discussed to help students weigh the relative merits of a potential supervisor. This study is the first ever attempt to outline supervision for graduate students in Cambodia. This article concludes that selecting a potential supervisor for Cambodian graduates in health sciences is necessary to assist them due to the growing number of Cambodian students in higher education, which necessitates the implementation of a well-designed advising mechanism to meet their needs. Further research needs to explore the role of the supervisor, challenges, and needs among Cambodian graduate students as the country continues to grow in graduate education with limited experience and overall resources.
Graduates with High-Functioning Autism: Perceptions of Academic and Labor Market Adjustment
Authors: Davidovitch Nitza , Gerkerova Aleksandra
Published: November 2024

This study explores the perceptions of academic and labor market adaptation among graduates with high-functioning Autism Spectrum Disorder (ASD), in comparison to neurotypical counterparts. Contrary to the expected significant differences attributed to the unique challenges associated with ASD, the findings did not indicate major disparities in perceptions of adaptation to both academic settings and labor market entry. The investigation encompassed 134 participants, divided between individuals diagnosed with high-functioning ASD and a control group from the general population, employing self-administered questionnaires to evaluate adaptability perceptions. The absence of anticipated differences suggests that the existing supports within educational and employment contexts may be effectively facilitating the transition for graduates with ASD. The study highlights the importance of inclusive career guidance and job placement services, demonstrating a positive correlation between academic adaptation and labor market preparedness. These results challenge pre-existing notions regarding the ASD experience during critical transitions from higher education to employment, advocating for enhanced policies and practices that accommodate the diverse needs of all graduates.
The Development Instructional Model Based on Steam Education by TP-SMART MODEL to Enhance Technological Innovation and Creativity Skills of Secondary Student Mathayom 6
Authors: Promket Warachit
Published: November 2024

The Development Instructional Model Based on Steam Education by TP-SMART MODEL To Enhance Technological Innovation and Creativity Skills of Secondary student Mathayom 6, divided into 4 steps. Step 1: Study the current and expected conditions of student learning and innovation skills development. 2) Develop the model 3) Study the results of use 4) Evaluate the results. Sample group used in the study Mathayom 6/4 students at That Phanom School, Semester 1, academic year 2023, 1 classroom, 26 people. By means of Cluster Random Sampling, statistics used include mean (X), standard deviation (S.D.), essential needs index (PNI Modified), and t-test (Match paired t-test) The results of the study found that 1) The results from the synthesis of learning skills and innovation components consisted of 3 components: Including (1) communication and cooperation (2) critical thinking and problem-solving and (3) Creative thinking and innovation Elements with the highest demand index values are creativity and innovation PNIModified=.294. 2) The model development is consistent with values between 0.80-1.00 and the overall average is 0.933. The confirmation results found that the overall components were appropriate at the highest level (X=4.258, S.D.=0.668). 3) Results of the comparative analysis of scores before and after using the format. The difference is statistically significant at .05. 4) Overall evaluation of the use of the model The average is at a high level (X=4.29, S.D.=0.65).
Hybrid Project-Based Learning Model on Metaverse to Enhance Collaboration
Authors: Cheerapakorn Pasawut , Hinon Kanitta , Wannapiroon Panita
Published: November 2024

The Hybrid Project-Based Learning Model on Metaverse to Enhance Collaboration. The concept is based on the integration of hybrid learning, project-based learning, and metaverse. This research has the objective: (1) To study and synthesize the conceptual framework of the hybrid project-based learning model on metaverse to enhance collaboration. (2) To develop the hybrid project-based learning model on metaverse to enhance collaboration. (3) To study the suitability of the hybrid project-based learning model on metaverse to enhance collaboration. Research hypothesis: The suitability of the hybrid project-based learning model on metaverse to enhance collaboration is at the high level. The participants in this research include seven experts from various institutions, all of whom are specialized in the design and development of instruction models and systems. The results, show that (1) This research can serve as a guideline for developing a hybrid project-based learning via metaverse that can enhance collaboration, consisting of a 6-step hybrid project-based learning process, integrated with metaverse. (2) the overall suitability of the development to the hybrid project-based learning model on metaverse to enhance collaboration is at a very high level (Mean = 4.92, S.D. = 0.18, IR = 0.04, Q.D. = 0.02), (3) The results of the evaluation certify the suitability of using the hybrid project-based learning model on metaverse to enhance collaboration is suitable for actual use at a very high level (Mean = 4.71, S.D. = 0.76, IR = 0.00, Q.D. = 0.00).
Pemetaan Penelitian Literasi Lingkungan
Authors: Mu'yidarrahmatillah Arslyn Aqylah , Winoto Yunus , Khaerul Anwar Rully
Published: November 2024

Penelitian ini mengeksplorasi tren dalam literasi lingkungan menggunakan analisis bibliometrik, mengingat urgensi topik ini di tengah krisis lingkungan global. Dengan menggunakan data publikasi ilmiah dari 1971 hingga 2024, studi ini menunjukkan adanya peningkatan signifikan dalam jumlah penelitian serta kolaborasi internasional. Temuan menyoroti pentingnya integrasi literasi lingkungan dalam pendidikan sebagai alat untuk meningkatkan kesadaran dan tindakan kolektif terhadap keberlanjutan. Selain itu, perkembangan teknologi berperan krusial dalam memperluas akses terhadap informasi dan mendukung gerakan global untuk menjaga lingkungan. Studi ini menegaskan perlunya sinergi antara pendidikan, kebijakan, dan teknologi untuk mengoptimalkan literasi lingkungan.
Factors that have an impact on improving profit management of manufacturing companies
Authors: Sososutiksno Christina , Gasperz Jefry , Limba Franco Benony , Sapulette Shella Gilby
Published: November 2024

This study aims to examine the effect of good corporate governance and accounting conservatism on earnings management in manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2020 to 2022. Using a quantitative approach and multiple linear regression analysis, the research analyzes data from five manufacturing companies, resulting in 15 samples from financial reports over three years. The findings reveal that good corporate governance has a positive and significant impact on earnings management, indicating that better corporate governance improves earnings management practices. However, the study shows that accounting conservatism has no significant effect on earnings management when analyzed independently. Despite this, the combined effect of good corporate governance and accounting conservatism on earnings management is found to be positive and significant. This suggests that while accounting conservatism alone does not influence earnings management, it contributes positively when combined with strong corporate governance practices. The implications of this research emphasize the importance of robust corporate governance for enhancing earnings management, while accounting conservatism helps present more accurate financial statements. Manufacturing companies are encouraged to strengthen internal controls through effective corporate governance and conservative accounting practices to boost stakeholder confidence and ensure sustainability.
Analysing Malaysian exports, capital, exchange rate, and income growth through the balance of payments constrained growth model
Authors: Ramasamy Kanageswary , Said Rusmawati , Ismail Normaz Wana
Published: November 2024

This research examines Malaysian exports, capital, exchange rate, and income growth through the balance of payments constrained growth model. Malaysia's economy has grown slower in the last several years, as seen by the country's dropping goods exports, weaker ringgit, and decreased influx of foreign capital. This study examines potential economic constraints on Malaysia using the extended Balance of Payments Constrained Growth (BPCG) model, which calculates GDP growth by adding exports, foreign capital positions (FDI and FPI), and exchange rates using quarterly data from 2011 to 2022. The Autoregressive Distributed Lag (ARDL) method is used to estimate the model, and Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) are used to assess the model's robustness. The BPCG model places Malaysia's growth rate at 7.3%, which is higher than the country's actual growth rate of 4.6% for the research period. Policymakers should accelerate the New Industrial Master Plan and National Investment Master Plan 2030 to optimise this potential. These efforts aim to boost economic growth by sustaining foreign capital inflows and exports. Through comprehensive trade agreements, authorities should boost exports, market access, and global economic development.
The impact of ESG scores on corporate financial performance: A study of non-financial firms listed in the UK
Authors: Al-Tarawneh Ahmad , Tayeh Mohammad , Iskandrani Majd , Obeidat Muhanned
Published: November 2024

This study investigates the relationship between Environmental, Social, and Governance (ESG) scores and firm financial performance, measured by Tobin's Q and Return on Assets (ROA), for non-financial firms listed in the UK. The study sample included 188 firms from 2015 to 2023. Panel regression was used to account for the firm- and time-specific unobservable variables, while the Generalized Method of Moments (GMM) estimation was used to account for endogeneity concerns. The results reveal a significant negative relationship between ESG combined score and Tobin’s Q, suggesting that higher ESG ratings are associated with lower firm valuation. Additionally, the impact of the Governance score on Tobin’s Q is negative and statistically significant at the 1% level. The results validate the trade-off theory, indicating that investors may view investments in ESG initiatives less favorably at least in the short run, suggesting that listed companies with strong stakeholder-oriented practices are not rewarded with a premium price. The findings underscore the importance of ESG initiatives for management and decision makers to enhance investor awareness about the role of ESG initiatives in contributing to long-term shareholder value through sustainable growth, improved stakeholder relationships, and effective risk management.
Macroeconomic determinants of stock market development in the Sultanate of Oman
Authors: Shehab Ayman Al
Published: November 2024

This study evaluates the effect of macroeconomic variables on the development of the Omani stock market using quarterly data from 2010 Q1–2022 Q4. Financial markets are vital to every economy, as they’re the most important engines. Specifically, the impact of the inflation rate, the development of the banking sector, liquidity of the stock market, trade openness, economic growth, and oil prices on Muscat Stock Exchange development were investigated to help policymakers develop the stock market and reinforce sustainable economic growth. Insufficient data prevented the use of foreign direct investment (FDI). The literature showed significant variations in determining the essential macroeconomic factors that affect the stock market's development. There was a dearth of such studies conducted in Oman. The autoregressive distributed lag (ARDL) model was employed, and the macroeconomic variables and Omani financial market development were found to be cointegrated. The long-term determinants were the liquidity of the stock market, oil prices, and the development of the banking sector. In the short term, the drivers were economic growth, the stock market's liquidity, and the development of the banking sector. The researcher advises policymakers to increase stock market liquidity through expediting listing procedures and simplifying initial public offering (IPO) processes.
Impact of foreign direct investment on the emergence of SMEs in Morocco: Analysis and strategic perspectives
Authors: Boushib Kaoutar , Moujahid Mustapha , Hajji Malak
Published: November 2024

This research investigates the impact of foreign direct investment on the emergence of SMES in Morocco. One of the strategic objectives that Morocco seeks to achieve through its policy of promoting foreign direct investment (FDI) is the exploitation of positive externalities on its national economy. These benefits include encouraging the creation and development of small and medium-sized enterprises (SMEs). This article aims to empirically examine the impact of FDI on the creation of SMEs in Morocco, assessing both long-term and short-term effects. A time series econometric analysis was conducted using Moroccan macroeconomic data covering the period from 2009 to 2022. The study applied a cointegration approach and a vector error correction model (VECM) to assess the relationship between FDI inflows and SME creation. The empirical results reveal that, in the long term, the FDI variable exerts a positive and statistically significant effect on the creation of SME. Conversely, the short-term results show no statistically significant effect, suggesting that the influence of FDI on SME creation does not materialize immediately. FDI is a vital contributor to SME development in Morocco, but its benefits materialize over the long run, necessitating sustained policy efforts to maximize these effects. Policymakers should focus on creating an environment that fosters long-term investments and facilitates the absorption of FDI spillovers, particularly in sectors linked to SME development.
The impact of experience quality on customer loyalty: The mediating role of achievement of training and trust, with image of training as a moderating variable
Authors: Kiemas Ramatun Anggraini , Noermijati  , Hussein Ananda Sabil , Mugiono
Published: November 2024

This research examines and validates the theory of service-dominant logic through the co-creation process between service providers and training consumers by investigating the effects of experience quality on customer loyalty. The study posits that the achievement of training and trust mediate the relationship between experience quality and customer loyalty, while the image of the training institution moderates the impact of experience quality on customer loyalty. The population for this study comprises individuals who have participated in and successfully completed training programs organized by the Agency for Technological Assessment and Application (AAAT). Employing non-probability random sampling, a sample of 182 individuals was selected for survey administration. The research model was subsequently tested using SmartPLS. This study reveals that the quality of experience exerts a significant influence on customer loyalty. Furthermore, it identifies that the outcomes of training and the establishment of trust serve as mediators in the relationship between experience quality and customer loyalty. However, the research indicates that the image of the training institution does not moderate the effect of experience quality on customer loyalty. This study offers significant practical implications for marketing management, particularly in understanding the influence of experience quality on customer loyalty. The findings serve as a valuable reference for developing both theoretical and empirical models. This study is the first to advance the service-dominant logic theory by incorporating value-in-use, and it introduces the mediating roles of training achievement and trust, as well as the moderating role of the training institution's image. The research specifically examines the impact of experience quality on customer loyalty among consumers of the AAAT training institution.
Assessing the severity of non-performing loans for residential and non-residential properties in Malaysia
Authors: Sing Ramila Devi Ram , Hosin Husnizam , Mohamad Shafi , Bawazir Abdullah Abdulaziz
Published: November 2024

This study attempts to assess the macroeconomic factors impacting non-performing loans (NPLs) in both residential and non-residential properties held by commercial and Islamic banks in Malaysia between 2007 and 2021. The study will analyze quarterly NPL (non-performing loan) ratio data from reputable sources like Bank Negara, International Financial Statistics, and the Bank for International Settlements. It will focus on NPL trends across different property types in commercial and Islamic banks. Using the Autoregressive Distributed Lag (ARDL) technique, the study will evaluate the long-term relationship between NPLs and key macroeconomic factors. The results show a proven cointegrating link between determinants and NPLs. This provides crucial insights into fostering economic growth through macroeconomic factors while also bolstering the overall sustainability of the financial systems. The models are designed to anticipate non-performing loans based on data from Q12007- Q22021. Thus, the conclusions have practical limits, such as distortions in reflecting actual conditions or trends. Since then, the economy, society, and technology have all changed dramatically. Furthermore, human behaviors and preferences might change, making previous patterns less dependable for forecasting future actions. Key regulatory authorities, such as Bank Negara Malaysia, have developed measures to detect and address imbalances and vulnerabilities in the financial industry. Many of these measures have long lags; thus, it is important to identify macroeconomic and macro-financial factors that could act as leading indicators for future non-performing loan developments. The paper primarily contributes by estimating models to predict variables related to non-performing loans (NPLs). Its findings are valuable to regulatory agencies, as these agencies often rely on delayed indicators to identify key drivers of NPLs, including macroeconomic and bank-specific factors.