bluuebunny/crossref_metadata_2025 huggingface dataset:
An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models
Authors: Sun Yi , Ji Faxiu
Published: January 2025

Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, traditional manual assessment methods are limited in their information processing capacity and cost-effectiveness. This study addresses these challenges by proposing an embodied intelligent system for mine safety assessment based on multi-level large language models (LLMs) for multi-source sensor data. The system employs a multi-layer architecture implemented through multiple LLMs, enabling not only rapid and effective processing of multi-source sensor data but also enhanced environmental perception through physical interactions. By leveraging the tool invocation and reasoning capabilities of LLM in conjunction with a coal mine safety knowledge base, the system achieves logical inference, anomalous data detection, and potential safety risk prediction. Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. This study established a comprehensive experimental framework integrating numerical simulation, scenario simulation, and real-world testing to evaluate the system through embodied intelligence. Experimental results demonstrate that the system effectively processes sensor data and exhibits rapid, efficient safety assessment capabilities during embodied interactions, offering an innovative solution for coal mine safety.
EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks
Authors: Abdi-Sargezeh Bahman , Shirani Sepehr , Valentin Antonio , Alarcon Gonzalo , Sanei Saeid
Published: January 2025

A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain. The model is based on a GAN structure in which a conditional GAN (cGAN) is combined with a variational autoencoder (VAE), named as VAE-cGAN. scEEG sensors are plagued by noise and suffer from low resolution. On the other hand, iEEG sensor recordings enjoy high resolution. Here, we consider the task of mapping the scEEG sensor information to iEEG sensors to enhance the scEEG resolution. In this study, our EEG data contain epileptic interictal epileptiform discharges (IEDs). The identification of IEDs is crucial in clinical practice. Here, the proposed VAE-cGAN is firstly employed to map the scEEG to iEEG. Then, the IEDs are detected from the resulting iEEG. Our model achieves a classification accuracy of 76%, an increase of, respectively, 11%, 8%, and 3% over the previously proposed least-square regression, asymmetric autoencoder, and asymmetric–symmetric autoencoder mapping models.
Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed
Authors: Becker Eliza , Khaksar Siavash , Booker Harry , Hill Kylie , Ren Yifei , Tan Tele , Watson Carol , Wordsworth Ethan , Harrold Meg
Published: January 2025

In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when further assessment is necessary. While inertial measurement units (IMUs) have been used in health research, their use inside hospitals has been limited. This study explores the use of IMUs with machine learning to continuously capture, classify and visualise patient positions in hospital beds. The participants attended a data collection session in a simulated hospital bedspace and were asked to adopt nine positions. Movement data were captured using five IMU Xsens DOTs attached to the forehead, wrists and ankles. Support Vector Machine (SVM) and K-Nearest Neighbours classifiers were trained using five different combinations of sensors (e.g., right wrist only, right and left wrist) to determine body positions. Data from 30 participants were analysed. The highest accuracy (87.7%) was achieved by SVM using forehead and wrist sensors. Adding data from ankle sensors reduced the accuracy. To preserve patient privacy in a hospital setting, a 3D visualisation was developed in Unity, offering a non-identifiable representation of patient positions. This system could help clinicians monitor changes in position which may signal clinical deterioration.
Routing Protocol for Intelligent Unmanned Cluster Network Based on Node Energy Consumption and Mobility Optimization
Authors: Dong He , Yu Baoguo , Wu Wanqing
Published: January 2025

Intelligent unmanned clusters have played a crucial role in military reconnaissance, disaster rescue, border patrol, and other domains. Nevertheless, due to factors such as multipath propagation, electromagnetic interference, and frequency band congestion in high dynamic scenarios, unmanned cluster networks experience frequent topology changes and severe spectrum limitations, which hinder the provision of connected, elastic and autonomous network support for data interaction among unmanned aerial vehicle (UAV) nodes. To address the conflict between the demand for reliable data transmission and the limited network resources, this paper proposes an AODV routing protocol based on node energy consumption and mobility optimization (AODV-EM) from the perspective of network routing protocols. This protocol introduces two routing metrics: node energy based on node degree balancing and relative node mobility, to comprehensively account for both the balance of network node load and the stability of network links. The experimental results demonstrate that the AODV-EM protocol exhibits better performance compared to traditional AODV protocol in unmanned cluster networks with dense node distribution and high mobility, which not only improves the efficiency of data transmission, but also ensures the reliability and stability of data transmission.
The Role of Hygiene in a Sustainable Approach to Managing Pool Water Quality
Authors: Włodyka-Bergier Agnieszka , Bergier Tomasz Adam , Stańkowska Emilia
Published: January 2025

To achieve sustainable swimming pool water management, it is necessary to minimize the consumption of energy, water, and chemical agents to maintain the appropriate water quality. Some of the pollutants are introduced by swimmers and can be relatively easily removed if swimmers take a shower before entering a pool. Thus, this research questions how much of an impact this simple act could have on the water quality and generally on sustainable water management in swimming pools. To address this question, experiments were conducted at the AGH Swimming Pool in Kraków, in a real facility—a hot tub—with the participation of volunteers who took a shower in Variant 1 and did not in Variant 2. The assessment was made on the basis of selected microbiological and physicochemical parameters of swimming pool water, including disinfection by-products. The research results proved that taking a shower can significantly reduce the load of pollutants users introduce into swimming pool water and can contribute to more efficient and ecological treatment of swimming pool water and minimize the negative impact on the health of swimming pool users (microbiological contaminants and precursors of harmful chlorination by-products).
Correction: Fu, H.; Rasiah, R. Fostering Inclusive Green Growth in Chinese Cities: Investigating the Role of Artificial Intelligence. Sustainability 2024, 16, 9809
Authors: Fu Hongbo , Rasiah Rajah
Published: January 2025

The authors would like to make the following corrections about the published paper [...]
Technological Cooperation for Sustainable Development Under the Belt and Road Initiative and the Sustainable Development Goals: Opportunities and Challenges
Authors: Peng Shuhong , Qian Jing , Xing Xiuwei , Wang Jing , Adeli Aliya , Wei Shujie
Published: January 2025

The Belt and Road Initiative (BRI) promotes sustainable development in the participating countries by facilitating technology transfer, talent development, and industrial upgrading. Technological cooperation under the BRI plays a crucial role in helping these countries achieve the Sustainable Development Goals (SDGs). However, BRI cooperation also faces significant challenges, including geopolitical, economic, social, environmental, and legal risks. This paper reviews the current research on BRI technological cooperation, covering cooperation models, influencing factors, mechanisms, and the economic and social impacts of such cooperation. It examines both the opportunities and challenges involved and provides policy recommendations and action plans. This review offers valuable insights for researchers interested in BRI technological cooperation and contributes to advancing sustainable development in BRI countries.
Innovative Entrepreneurship and Sustainability: A Bibliometric Analysis in Emerging Countries
Authors: Dote-Pardo Jairo , Ortiz-Cea Vesnia , Peña-Acuña Verónica , Severino-González Pedro , Contreras-Henríquez José M. , Ramírez-Molina Reynier Israel
Published: January 2025

Innovative entrepreneurship has increasingly been acknowledged as one of the most vital drivers of economic development, job creation at high value, wealth creation, and business growth. This study analyzes the current status and evolution of research on innovative entrepreneurship and sustainability in the context of emerging economies, based on a bibliometric analysis of 132 articles indexed in the Web of Science database. The search was guided by relevant keywords, such as “innovative entrepreneurship*” and “sustainab*”. Systemic barriers limit the scalability of innovative ventures, especially in developing countries. Frugal and green innovations, digital technologies, and rural enterprises show promise but face challenges like resource constraints, ethical concerns, and policy gaps. Collaborative, equity-focused approaches are essential to ensure entrepreneurship drives sustainable and inclusive development. Further studies should expand the data source, increase the pool of articles, and develop cross-country comparisons to enhance global understanding. This may lead to a better understanding of innovative entrepreneurship and sustainability that can be used to create actionable strategies for development in various economic contexts.
The Synergy of Pollution and Carbon Reduction by Green Fiscal Policy: A Quasi-Natural Experiment Utilizing a Pilot Program from China’s Comprehensive Demonstration Cities of Energy Conservation and Emission Reduction Fiscal Policy
Authors: Xu Lei , Peng Shiguang , Wang Le
Published: January 2025

Using data from 2003 to 2019 for China’s 257 cities, this quantitative research utilizes the difference-in-differences approach to evaluate the synergy of the Comprehensive Demonstration Cities of Energy Conservation and Emission Reduction Fiscal Policy on pollution and carbon reduction. The primary results are as follows. The policy successfully reduces total emissions of industrial SO2, industrial wastewater, and CO2, thus achieving the desired synergistic effect of pollution and carbon reduction. Facilitating green technological innovation and promoting industrial upgrading are the transmission mechanisms through which the synergistic effect of the policy operates. The negative effect of the policy on the total emissions of industrial SO2 and CO2 is greater in the eastern area than in the mid-western area and the impact of the policy on decreasing the total emissions of industrial SO2 is more pronounced in non-resource-based cities compared to resource-based cities. This study provides an empirical reference for green fiscal policy with respect to reducing air pollution, wastewater pollution, and greenhouse gas emissions.
Effect of Ventilation Strategies of Center-Mounted Louver Ventilation Window on Building Energy Consumption and Daylighting
Authors: Ma Qingsong , Ma Hao , Wan Ziwei , Wang Zhen , Wei Xindong
Published: January 2025

An innovative center-mounted louver ventilation window suitable for seasonal ventilation strategies was proposed, combining the regional climate of Qingdao. The sustainable development concept is embodied, which can not only reduce building energy consumption but also consider the quality of daylighting. This research constructed a comprehensive evaluation framework, taking an office building in Qingdao as an example. The framework utilized the parametric design platform Grasshopper and its environmental design plug-in Ladybugtools. It considered the daylighting performance and energy consumption of the building. This study included six different ventilation strategies, with energy use intensity and useful daylight illuminance as evaluation indicators. The results indicated that the seasonal ventilation strategies and parameters of blinds were optimized to significantly improve the energy efficiency of the building without compromising daylighting quality. The optimized solution reduces energy consumption from 83.81 kWh/m2 to 55.0 kWh/m2, achieving a 34.4% reduction while maintaining a high UDI. This energy-saving effect reveals the influence of different ventilation strategies on energy and daylighting. And it provides an important reference for sustainable design in similar climate contexts.
Factors Determining Buying Behavior on the Organic Food Market in the Visegrad Group Countries—Using Canonical Correlation Analysis
Authors: Wojciechowska-Solis Julia , Śmiglak-Krajewska Magdalena , Smoluk-Sikorska Joanna , Malinowski Mariusz , Krnáčová Paulína , Jarossová Malgorzata Agnieszka , Kis Gyöngyi Györéné
Published: January 2025

Consumers are increasingly seeking ecological, organic, minimally processed food from certified organic farms. Consumer purchasing decisions in the organic food market are determined by various factors. The main objective of the article is to identify the range and direction of multidimensional relationships between the frequency of purchasing organic food and the factors that determine purchasing decisions. For this purpose, a canonical analysis was performed. Statistical data were obtained from survey research conducted in Poland, Czechia, Slovakia, and Hungary (600 questionnaires filled in each country) from December 2023 to March 2024. Research shows that the key factor that influences purchasing decisions with respect to organic food is its high quality. In countries such as Poland, Czechia, and Slovakia, this feature received the highest percentage of indications as very important, 53%, 44%, and 54%, respectively. In the second place, respondents indicated production without agricultural chemicals and food additives (in Hungary, this factor was considered the most important, with a percentage of indications at the level of 77%). In all the countries of the Visegrad Group, the influence of famous people, celebrities, and bloggers seems to be the least important—40.7% of respondents in Slovakia considered them completely unimportant, and as many as 73% in Hungary. Fashion was similarly rated low. In the case of this factor, the percentage of indications as unimportant ranged from 31% (Slovakia) to 76% (Hungary).
Clinical case of an atypical course of systemic vasculitis
Authors:   City Multidisciplinary Clinical Hospital No. 64, Moscow, Shlopak L. B.
Published: January 2025

Vasculitis is a group of diseases based on immunopathological inflammation of blood vessels
(arteries, arterioles, capillaries, venules, and veins). As a rule, the consequence of this disease is a change in the structure and function of the organs supplied with blood by the inflamed vessels. The causes of
the disease remain unknown. A combination of genetic predisposition with environmental factors, as well
as infections involving Staphylococcus aureus or hepatitis virus, are suspected. Vasculitis is fundamentally divided into primary, caused by inflammation of the vessels themselves, and secondary, in which inflammation of the vessel is a reaction to another disease. The main clinical forms of systemic vasculitis
are hemorrhagic vasculitis (Henoch-Schonlein purpura), microscopic polyangiitis, granulomatosis with
polyangiitis (Wegener’s granulomatosis), eosinophilic granulomatosis with polyangiitis (Churg-Strauss
syndrome), polyarteritis nodosa, Kawasaki disease, Takayasu arteritis, etc.
MANIPULASI PASAR DALAM PERDAGANGAN SAHAM DI PASAR MODAL DITINJAU DARI ASPEK PERLINDUNGAN HUKUM BAGI INVESTOR
Authors: Margareth Panjaitan Meiline Maria , Rani Apriani
Published: January 2025

Manipulasi pasar merupakan suatu usaha yang dilakukan melalui perantaraan anggota bursa,secara mandiri ataupun Bersama-sama yang memberikan gambaran bahwa transaksi efek atau harga yang terjadi adalah sesuai dengan kebutuhan pasar pada saat itu. Manipulasi pasar dapat dilakukan dengan melakukan serangkaian transaksi maupun mempergunakan informasi dengan maksud untuk memanipulasi. Perbuatan manipulasi pasar dilarang dalam UUPM, dapat dilihat pada Pasal 91 dan Pasal 92 UUPM. Dalam Pasal 91 UUPM berbunyi: “setiap pihak dilarang melakukan Tindakan, baik langsung maupun tidak langsung, dengan tujuan untuk menciptakan gambaran atau menyesatkan mengenai kegiatan perdagangan, keadaan pasar, atau harga efek di bursa. Pengaturan mengenai manipulasi pasar modal berkaitan dengan manipulasi harga, volume, spoofing serta manipulasi keterbukaan informasi. Bentuk perlindungan hukum bagi investor yang dirugikan akibat praktik manipulasi pasar modal adalah perlindungan yang diberikan oleh Lembaga terkait seperti Bapepam, BEI serta OJK yang penjatuhan sanksi berupa sanksi pidana, perdata maupun administrasi serta tindakan reprensif dan preventif. Perlindungan hukum terhadap Investor publik atau yang dikenal pemegang saham minoritas, dalam perakteknya masih terdapat beberapa kendala, terutama menyangkut hukum acara misalnya derivative suit dan class action. Prinsip derivative suit dalam hukum acara adalah membenarkan seseorang atau lebih, pemegang saham untuk membawa kasus ke pengadilan atas tindakan-tindakan yang merugikan perusahaan. Jadi “Cause of Action” terhadap perusahaan bukan “direct” terhadap pribadi pemegang saham yang bersangkutan sehingga pemegang saham tidak dapat mengajukan perusahaan kepada pengadilan melainkan pribadi direkturnya.
Pertanggungjawaban Pidana Pelaku Tindak Pidana Kerusuhan di Stadion Kanjuruhan
Authors: Mufti Muhammad Wildan
Published: January 2025

Sebagai makhluk sosial, manusia membutuhkan interaksi dan kerjasama dengan sesama untuk menjalani kehidupan. Konflik yang timbul dari perbedaan kepentingan memerlukan hukum sebagai panduan perilaku dan perlindungan terhadap hak-hak individu dalam masyarakat. Penelitian ini menggunakan metode penelitian hukum normatif dengan pendekatan yuridis normatif untuk menjelaskan fenomena hukum terkait Undang-Undang No 11 Tahun 2022 tentang Keolahragaan. Metode kualitatif digunakan dengan fokus pada studi dokumen dan literatur untuk menggali konsep dasar yang mendasari pola perilaku manusia dalam konteks hukum. Pertanggungjawaban pidana bagi pelaku tindak pidana di Stadion Kanjuruhan meliputi penggunaan gas air mata yang tidak tepat, yang menyebabkan banyak korban jiwa dan luka, serta melanggar hak asasi manusia. Hal ini perlu ditangani melalui penegakan hukum yang adil dan koordinasi yang baik antara semua pihak terkait. Tragedi Kanjuruhan menimbulkan pertanyaan serius mengenai tanggung jawab pidana atas pelanggaran HAM dan penggunaan gas air mata di stadion, yang menekankan perlunya hukuman yang sesuai dengan kesalahan serta menjaga prinsip-prinsip hak asasi manusia dalam setiap langkah penegakan hukum.
Upaya Hukum Perusahaan Untuk Bangkit Dari Jeratan Tuntutan Kepailitan
Authors: Putri Fallen Annisa Aji
Published: January 2025

Pailitnya suatu perusahaan membawa dampak negatif yang meluas, baik secara lokal maupun global. Oleh karena itu, keberadaan lembaga kepailitan sangat penting dalam dunia bisnis. Lembaga ini memungkinkan penyelesaian utang secara teratur dan adil ketika perusahaan tidak lagi mampu bersaing atau terpaksa keluar dari pasar. Pailit terjadi ketika debitur gagal membayar utang yang telah jatuh tempo dan dapat ditagih, menandakan ketidakmampuan membayar atau kurangnya pendapatan untuk melunasi utang. Kepailitan bertujuan menyelesaikan masalah utang, bukan untuk menghancurkan usaha secara sengaja. Prinsip "commercial exit from financial distress" merujuk pada proses di mana perusahaan yang tidak mampu bertahan secara finansial keluar dari pasar secara teratur. Kemudahan dalam mempailitkan debitur dapat membantu proses penyelesaian utang secara efisien dan adil, memungkinkan kreditur mendapatkan pembayaran sesuai prioritas hukum kepailitan, serta memberi kesempatan bagi debitur untuk memperbaiki keuangan dan melanjutkan bisnis.Untuk mencegah pailit, perusahaan dapat mengajukan penundaan kewajiban pembayaran utang guna menyusun rencana perdamaian. Namun, praktik tidak etis di pengadilan niaga dapat merugikan kreditur, sehingga penting bagi sistem peradilan untuk memastikan proses kepailitan berlangsung transparan dan adil.
PERLINDUNGAN HUKUM BAGI PIHAK KREDITUR ATAS PERKARA KEPAILITAN
Authors: Ika Yanuar Margiyanti
Published: January 2025

Kepailitan merupakan sebuah keadaan dimana terdapat seorang debitur memiliki ketidakmampuan dalam memyarkan utang yang dimilikinya. Pengajuan kepailitan ini baru bisa dilakukan apabila memenuhi dua syarat pentiny yaitu seorang debitur memliki dua kreditur atau lebih dan utang yang dimiliki debitur tersebut sudah jatuh tempo tetapi debitur tersebut tidak memiliki kemampuan untuk membayar utang yang dilakukanya. Setelah dilakukannya pengajuan pailit kepada pengadilan niaga setealah putusan pailit itu dijatuhkan maka seluruh harta debitur yang masuk kedalam harta pailit akan di lakukan sita umum dan nantinya akan harta kekayanya tersebut akan dilakukan pengelolaan dan juga pengurusan yang dilakukan oleh kurator yang di tunjuk oleh pengadilan niaga yang diawasi oleh seorang hakim pengawas.
STATUS UTANG KREDITOR SINDIKASI DALAM PERKARA KEPAILITAN DAN PENUNDAAN KEWAJIBAN PEMBAYARAN UTANG
Authors: Abdul Hamid
Published: January 2025

Dengan berkembangnya ekonomi, permintaan kredit dari masyarakat dan pengusaha meningkat, tetapi peraturan saat ini membatasi bank melalui Batas Maksimum Pemberian Kredit (BMPK). Kebutuhan dana sering melebihi batas BMPK, sehingga alternatif seperti kredit sindikasi digunakan untuk penyediaan dana dalam skala besar. Kredit sindikasi menimbulkan komplikasi berbeda dalam kasus kepailitan dan penundaan kewajiban pembayaran utang (PKPU), yang terkait erat dengan utang piutang. Artikel ini membahas regulasi kredit sindikasi di Indonesia dan status utangnya dalam kepailitan dan PKPU, menggunakan penelitian normatif yang meneliti data sekunder. Meskipun belum ada undang-undang khusus, kredit sindikasi berpedoman pada beberapa peraturan, termasuk Undang-Undang Nomor 37 Tahun 2004 tentang Kepailitan dan Penundaan Kewajiban Pembayaran Utang, yang mengatur status kreditor sindikasi. Perjanjian kredit sindikasi harus memperhatikan klausul mengenai pemisahan atau penyatuan hak kreditor sindikasi.
CAN ECO-ENGINEERING MINDS BE ENHANCED? A STUDY OF MALAYSIAN POLYTECHNIC STUDENTS IN GREEN ENTREPRENEURSHIP EDUCATION
Authors: Mohd Razalli Norsalwati , Mat Nashir Irdayanti , Mansor Mazura , Ahmad Zainal Ariffin
Published: January 2025

The imperative for sustainable development has heightened focus on eco-engineering and green entrepreneurship. It investigates the role of the KAP Model in shaping students' eco-consciousness and entrepreneurial mindset. While environmental awareness is rising, there continues to be a dearth of developing effective eco-engineering minds, especially in entrepreneurship. As such, this study examines whether Malaysian Polytechnic students' eco-engineering mindset can be enhanced through targeted green entrepreneurship education. This paper addresses this gap by examining how cognitive, affective, and behavioural factors nurture sustainable attitudes of Polytechnic students. This quantitative research method used an online questionnaire to 155 students from 12 Polytechnics in Peninsular Malaysia. The data analysis conducted includes descriptive and inferential statistics for data using Statistical Package for Social Science (SPSS) Version 26. The data from a diverse sample of Polytechnic students in entrepreneurship courses allowed us to provide real-world insights into the impact of education on nurturing eco-engineering minds. The results revealed that the Knowledge, Attitudes, and Practices (KAP) Model was not significantly different in gender and Cumulative Grade Point Average (CGPA) scores of students on the KAP of green entrepreneurship. The study highlighted the opportunity for targeted pedagogical interventions to nurture eco-entrepreneurs among Malaysian and global students.
" THE IMPACT OF CHATGPT ON STUDENT LEARNING IN PRIVATE HIGHER LEARNING INSTITUTION"
Authors: Narayanasamy Pratiba , Mazlan Wan Suriatty , Ariffin Mustafa Kamal
Published: January 2025

The integration of ChatGPT into the education system has introduced transformative changes, offering both substantial benefits and notable challenges. These abstract addresses the impacts of ChatGPT focusing on teaching and learning providing educational inequalities among students enrolled in higher education at a private higher education institution. ChatGPT is designed to significantly enriches educational practices by delivering personalized learning experiences. Its ability to provide real-time, adaptive feedback allows students to engage with content at their own pace, catering to diverse learning styles and needs. Moreover, ChatGPT facilitates access to information and educational resources. It acts as an on-demand tutor, helping students with homework, clarifying complex concepts, and offering practice problems across various subjects. This increased accessibility in education by providing high-quality support in teaching and learning. However, the integration of ChatGPT into education also presents challenges. Issues of data privacy, the risk of perpetuating biases, and the need for accurate content verification are among the significant concerns. Additionally, reliance on Artificial Technologies (AI) for learning support raises questions about the potential reduction in human interaction, communication and the implications for developing critical thinking and problem-solving skills. The results of this study show that ChatGPT has significant negative impacts to the educational teaching and learning outcomes. This study also crucially addresses the challenges and impacts of using ChatGPT in collaboration, communication, critical thinking and problem-solving skills among students at private higher education level. However, a cross-sectional study comparing respondents from public higher education opinions of ChatGPT are required to undertake a more thorough investigation.
Keywords:
Artificial Intelligence Technologies, Impact of AI, ChatGPT, Pre-U Students Perspective, Teaching, Learning.
KEY DETERMINANTS OF 21ST CENTURY TEACHER EFFECTIVENESS DOMAINS USING NOMINAL GROUP TECHNIQUE
Authors: W. Liah Wan Nurfarahiyah , Zulnaidi Hutkemri , Kenayathulla Husaina Banu
Published: January 2025

In the evolving landscape of 21st century education, the key determinants of teacher effectiveness have expanded to not only pedagogical skills but encompasses technological competencies, social-emotional intelligence and the integration of cultural elements in teaching. Using the Nominal Group Technique (NGT), a structured, systematic method, this study aims to determine and rank the key determinants of 21st century teacher effectiveness derived from the expert’s consensus. A total of seven experts in this field from various educational backgrounds were involved in this study. Grounded by the experts’ consensus and prominent authors' notion, the findings demonstrated four essential key determinants: pedagogical skills and instructional strategies, professional development and reflective teaching, social-emotional and interpersonal skills, and inclusivity and cultural responsiveness of teacher effectiveness in modern classroom teaching. As this study employed NGT to derive the key findings, it provides valuable insight and valid reference for future researchers, educational institution, school teachers, and policymakers to explore these suggested domains in teacher effectiveness and applied the proposed model to their teaching practices.
INSTRUCTIONAL APPROACHES IN VISUAL ARTS EDUCATION FOR STRUCTURING CREATIVE ARTWORK: A SYSTEMATIC LITERATURE REVIEW
Authors: Buhari Siti Nur Farahie , Sihes Ahmad Johari
Published: January 2025

This Systematic Literature Review (SLR) explores instructional strategies in visual arts education that promote structured creativity in student artwork, emphasizing methods that assist learners in expressing originality within defined frameworks. Visual arts education is essential for nurturing creative expression. However, educators often struggle to balance providing structured guidance and encouraging individual artistic exploration. To address this issue, a thorough search of scholarly articles was conducted using reputable databases, including Scopus and Web of Science, focusing on studies published between 2022 and 2024. The review process adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, resulting in 23 primary studies being analyzed. Findings were categorized into three main themes: (1) Creativity and Pedagogy in Visual Arts Education, (2) Innovative Approaches, and (3) Technological Integration in Visual Arts. The review indicates that incorporating structured instructional methods boosts students' creative confidence, enabling them to pursue unique artistic expressions within supportive boundaries. The conclusion highlights the need for further research into adaptive instructional models suitable for various learning contexts in visual arts education. This synthesis provides educators with evidence-based strategies to enhance creativity within a structured artistic framework
MAPPING THE LANDSCAPE OF DIGITAL INQUIRY-BASED LEARNING: A BIBLIOMETRIC ANALYSIS
Authors: Mohd Ramli Azneezal Ar-Rashid , Borhan Mohamad Termizi
Published: January 2025

This bibliometric analysis seeks to provide an in-depth examination of the academic landscape surrounding Digital Inquiry-Based Learning (DIBL). As digital technologies increasingly reshape educational practices, there is a pressing need for a comprehensive understanding of the research trends, key contributors, and thematic developments within this domain. The problem addressed by this study lies in the limited synthesis of the growing body of literature on DIBL, which hinders a nuanced understanding of its evolution and impact. To address this gap, we employed Scopus Analyzer and VOSviewer software to analyze a dataset comprising 1071 academic publications related to DIBL. The analysis identifies prevailing trends in publication volume, influential authors and institutions, and the key thematic clusters driving the field. Our findings indicate a marked increase in research output over recent years, with notable contributions from both the fields of educational technology and pedagogical research. The study further reveals distinct research clusters focused on the integration of digital tools into inquiry-based pedagogies, the effectiveness of such tools in enhancing student engagement, and their impact on learning outcomes. In conclusion, this bibliometric study provides a comprehensive mapping of the DIBL research landscape, offering critical insights into its current state and emerging directions. The findings contribute to a more informed understanding of how digital inquiry-based approaches are evolving and their implications for future educational practices.
PROMOTING ALGORITHMIC THINKING THROUGH UNPLUGGED PRIMARY SCIENCE ACTIVITY IN RURAL SCHOOLS
Authors: Mensan Tracy , Osman Kamisah , Abdul Majid Nazatul Aini
Published: January 2025

Algorithmic thinking, a method for solving problems through a step-by-step process that leads to a solution, is an essential component of computational thinking. Combining computational thinking and artificial intelligence (AI) in rural areas through unplugged activities provides an innovative approach to enhance science inquiry education. This article proposed the integration of algorithmic thinking and artificial intelligence (AI) within rural primary science education through hands-on, unplugged activities. Recognizing the challenges posed by limited digital access in these areas, the study introduces a model that encourages young learners to participate in STEM inquiries using practical, algorithm-oriented tasks that require little to no technology. This method promotes critical thinking, problem-solving skills, and scientific exploration by aligning with Piaget’s stages of cognitive development, allowing students to interact with materials and engage in practical scenarios. Furthermore, the research emphasizes how algorithmic thinking enhances logical reasoning and STEM literacy. By incorporating interactive games such as “Algorithm Walk” and “Science Sorting Relay,” the proposed model offers a contextually relevant and cost-effective approach to integrating computational thinking and fundamental AI concepts into primary education, effectively preparing students for future careers in science and technology. This would help in developing more customized, effective educational strategies and policies aimed at truly elevating meaningful educational experiences.
STRATEGIC GAMIFICATION FOR RELIGIOUS LEARNING: AN EMPIRICAL LITERATURE REVIEW
Authors: Mohd Zainudin Nur ‘Atieqah , Huda Miftachul
Published: January 2025

This study aims to empirically examine the effectiveness of gamification strategies in religious learning as well as identify the challenges and opportunities that exist in efforts to enrich the learning experience of students under the Dini Integrated Curriculum known as Kurikulum Bersepadu Dini (KBD). Through a comprehensive and detailed literature review, this study analyzes the use of innovative gamification elements such as artificial intelligence (AI), augmented reality (AR), and advanced multimedia support in increasing students' motivation and interest in learning religion in Arabic Language. The results of the study show that the integration of this technology with traditional gamification elements such as points, badges, and leaderboards can trigger deeper student engagement and improve learning effectiveness. Students show a higher interest in learning activities and the ability to understand and remember religious concepts more deeply and effectively. However, this study also identified several challenges in the implementation of gamification, including the urgent need for comprehensive training and professional development for teachers as well as the provision of sound technological infrastructure and technical support in schools. By providing practical guidance and detailed recommendations for teachers, this study aims to assist in the application of effective gamification techniques in religious teaching, particularly in the context of KBD. This study concludes that gamification, if applied with the right strategy, has great potential to enrich the religious learning experience and achieve comprehensive and holistic educational goals under KBD, further fostering a generation of more knowledgeable and highly motivated students. With this, it is hoped that religious teaching can become more dynamic, interesting and relevant to today's young generation, as well as fulfilling the aspirations of the National Education Philosophy, the Islamic Education Philosophy and the Malaysian Education Development Plan.
The Effect of Cyberloafing on Work Procrastination in Employees
Authors: Aryanor Zul , Febriani Risna
Published: January 2025

Work procrastination is the behavior of delaying the completion of work performed by the individual (procrastinator), by performing other activities that are not related to work. One of the factors causing work procrastination is pleasure-seeking, as internet users who are always comfortable with online situations or cyberloafing. This research is located at PT. GAL and PT. GIJ. This study aims to determine the effect of cyberloafing on work procrastination in employees. This research used quantitative research methods. The sampling in this study used a non-probability sampling technique with a total sampling method of 51 employees. The scales used in this study were the cyberloafing scale and the work procrastination scale, with the Rating Scale scaling model. The results of a simple linear regression test showed that the calculated t value is 2,386 (p < 0,05) while the table t value was 2,009 which means that the calculated t value was greater than the table t, it can be collected that there was a significant influence of cyberloafing on work procrastination in employees. The results of this study indicate that cyberloafing behavior has a significant impact on employee work procrastination. This finding provides deep insights into work procrastination influenced by the tendency to seek pleasure through online activities. Therefore, it is recommended that companies consider policies that reduce employee opportunities for cyberloafing in the workplace. Additionally, enhancing training and awareness about the negative effects of cyberloafing is crucial to enabling employees to manage their internet usage productively and stay focused on their tasks without succumbing to procrastination. These suggestions are expected to improve productivity and employee performance in the workplace.
The Relationship Between Self-efficacy and Homesickness in New Students in the Islamic Boarding School Environment
Authors: Fajrin Warisatul , Yasmin Maya
Published: January 2025

This study aims to determine the relationship between self-efficacy and homesickness in new students at Islamic boarding schools. This research is quantitative research with correlation data analysis of Product Moment. This research involved 322 new Islamic boarding school students in Agam Regency, West Sumatra using cluster random sampling technique. The scales used in this study are the General Self-efficacy Scale (GSES) belonging to Schwarzer (1995) and the homesickness scale which was self-compiled based on the theory of Stroebe et al. (2002). The results showed that there is a negative relationship between self-efficacy and homesickness in new students at Islamic boarding schools. So, to reduce homesickness in new students at Islamic boarding school, it is necessary to have a role of self-efficacy in new students.
The relationship between social support and level of anxiety post recovery from COVID-19
Authors: Handayani Anifa
Published: January 2025

Self-isolation on pandemic or activity restriction makes the social support’s level that accepted by society has decreased. People become individualism and avoid each other. People whose infected by COVID-19 often ostracized by the citizen because they are afraid of being infected. This study aim to see the correlation of social support and anxiety levels after recovering from COVID-19. There are 62 participants were got from purposive sampling technique. The result showed a negative correlation r = -0.748, where the higher the social support, the lower the level of stress experienced by the individual.
Correlation of self-regulation with resilience of non-residential students living in boarding places
Authors: Zari Sri Wulan , Nastasia Krisnova , Khairiyah Ummil , Fitriany Rany
Published: January 2025

This study was aimed to determine the correlation of self-regulation with the resilience of non-residential students for Electrical Engineering students at the Padang State Polytechnic. The independent variable in this research was self-regulation and the dependent variable is resilience. The measuring instruments used in this research are the self-regulation scale and the resilience scale. The sample selection technique in this research is a random sampling technique. The sample in this research was 118 Electrical Engineering students’ class of 2022 at Padang State Polytechnic. Item index discrimination and reliability testing in this research used the Cronbach's Alpha technique. The results of the item index discrimination on the self-regulation scale ranged from 0.320 to 0.631. The results of the item index discrimination on the resilience scale ranged from 0.300 to 0.722. Self-regulation reliability coefficient of 0.887 and a resilience scale of 0.893. Based on data analysis, the correlation value between self-regulation and resilience is r = 0.532 (p < 0.05), meaning there is a significant correlation between self-regulation and the resilience of non-residential students for Electrical Engineering students at the Padang State Polytechnic. Correlation in a positive direction show that the higher the self-regulation, the higher the resilience and conversely, the lower the self-regulation, the lower the resilience.
The influence of student engagement and school well-being on student learning motivation
Authors: Marsha Gladis Corinna
Published: January 2025

This study aims to examine the influence of student engagement and school well-being on learning motivation among students. The research respondents consisted of 95 students from the Faculty of Psychology at Universitas Muhammadiyah Banjarmasin, class of 2023 and 2024, who were selected using the simple random sampling technique. The estimated value of Cronbach's Alpha reliability on the student engagement scale is 0.907, on the school well-being scale is 0.908, and on the learning motivation scale is 0.929. The results of the analysis using multiple linear regression show that student engagement and school well-being simultaneously have a significant effect on learning motivation (R² = 0.339). Partially, student engagement has a significant influence with b = 0.64 (p < 0.001), and school well-being with b = 0.206 (p = 0.028). These results indicate that the higher the student’s engagement in learning and their school well-being in the educational environment, the greater their motivation to learn. This research emphasizes the importance of creating an academic environment that supports student engagement and school well-being to enhance students' learning motivation. Further studies are recommended to explore additional factors that influence learning motivation to expand the understanding of this dynamic.
A holistic approach to safe and eco-friendly driving in Indonesia from prospective psychology and technology: Literature-based exploration
Authors: Sianipar Suryati Mahdalena , Sitinjak Charli , Handoko Daniel
Published: January 2025

Transportation is essential to daily life in Indonesia, supporting mobility, economic activity, and social connectivity. However, rapid urbanization and population growth have intensified challenges, including severe traffic congestion, high accident rates, and substantial contributions to carbon emissions. Traditional approaches to transportation management have proven insufficient to address these issues. This study aims to explore the role of psychological insights and technological advancements in fostering safer and more sustainable driving practices in Indonesia through a literature-based exploration. Data collection involved a structured review of academic publications, reports, and case studies published between 2010 and 2023, accessed from sources such as Scopus, Google Scholar, and institutional archives. Relevant studies were identified using keywords like "safe driving," "psychology of driver behavior," and "sustainable transportation technologies. “The findings emphasize that psychological factors—such as motivation, risk perception, and emotional regulation—play a pivotal role in influencing driver behavior. In parallel, technologies like Advanced Driver Assistance Systems (ADAS) and eco-driving innovations offer practical solutions to enhance safety and reduce environmental impacts. The synergy between psychological understanding and technological applications creates a comprehensive framework for addressing Indonesia’s unique transportation challenges. This review identifies significant research gaps, such as the limited integration of behavioral insights with technology adoption in Indonesian contexts. The study recommends tailored interventions, such as psychology-informed driver training programs and localized promotion of adaptive driving technologies, to improve transportation safety and sustainability outcomes.
Effective pitch reduction of self-assembled lamellae by the use of (PS-b-PMMA)n multiblock copolymers
Authors: Yoshimoto Kenji , Taniguchi Takashi
Published: January 2025

The current directed self-assembly (DSA) process utilizes a diblock copolymer composed of polystyrene (PS) and polymethylmethacrylate (PMMA) as standard materials. However, domain spacing of the self-assembled PS-b-PMMA is limited to ∼20–30 nm due to weak segregation strength. In this study, we explore a potential to overcome this size limitation through a multiblock approach that has previously been demonstrated with (PS-b-PI)
n
. Specifically, we simulate the self-assembled morphology of the linear multiblock copolymer, (PS-b-PMMA)
n
, using the so-called theoretically informed coarse-grained model developed for symmetric PS-b-PMMA. The simulation results demonstrate that the lamella pitch of (PS-b-PMMA)
n
can be reduced by ∼20%–25% compared to that of diblock copolymer. This reduction is attributed to loop and bridge conformations of the multiblock copolymer chains. These findings indicate that (PS-b-PMMA)
n
could be advantageous for DSA, not only by enabling the size reduction, but also by potentially enhancing the guiding effects through physically cross-linked, self-assembled domains via bridged chains.
Improving radiation tolerance with room temperature annealing of pre-existing defects
Authors: Rahman Md Hafijur , Cooper Felix , Crespillo Miguel L. , Hattar Khalid , Haque Aman , Ren Fan , Pearton Stephen , Wolfe Douglas
Published: January 2025

Pre-existing defects in semiconductor devices can act as nucleation sites for radiation damage. Defects generated from mismatches in lattice constant, stiffness and thermal expansion are difficult to eliminate with thermal annealing. We propose a non-thermal stimulus, the electron wind force, to reduce the pre-existing defect concentration in Zener diodes at room temperature in a minute. The pristine and pre-annealed diodes were exposed to 11 MeV Au3+ ions at different fluences to induce damage levels of 0.2, 2, 10 and 20 displacement per atom (dpa). Post irradiation characterization showed up to 10 times improvement in radiation tolerance in the pre-annealed devices.
Obstruction Of Justice dalam Kasus Binomo Indra Kenz (Obstruction Of Justice in the Indra Kenz Binomo Case)
Authors: Fitri Deswita , Febrina Innes , Rumlus Muhamad Hasan
Published: January 2025

Kasus mengenai Obstruction of Justice menjadi perbin cangan hangat di tengah masyarakat. Kini permasalahan yang menyangkut yakni pertanggung jawaban pelaku Obstruction of Justice yang terus menjadi sorotan masyarakat dan membuat masyarakat bertanya-tanya bagaimana penegakan hukum yang menjadi salah satu delik terjadinya Obstruction of Justice di dalam kasus binomo Indra Kenz ini. Tujuan dari penulisan ini yakni untuk menganalisis serta mengetahui adanya permasalahan penghilangan terhadap alat bukti . Hasil penulisan ini menegaskan bahwa perlu adanya ketegasan dalam menerapkan sanksi pidana bagi pelaku Obstruction of Justice.