bluuebunny/crossref_metadata_2025 huggingface dataset:
Pros and Cons of Multimodality in AI Used by College Students
Authors: Lateef Umnia Jamal , Ahmed Imad Ibrahim , Hussein Sara Khalil , Yasseen Aws Abduljabbar , Ghalavandi Hassan.
Published: January 2025

Artificial intelligence's (AI) incorporation of multimodality has revolutionized education by giving college students cutting-edge resources for communication, learning, and problem-solving. Richer interactions and more individualized learning experiences are made possible by multimodal AI, which integrates many input formats like text, graphics, speech, and video. Even while there are advantages like increased accessibility, creativity, and teamwork, problems like unequal access, ethical dilemmas, and cognitive overload still exist. This study examines the benefits and drawbacks of multimodality in AI as it relates to college students, offering insights into its educational implications and the necessity of ethical, well-balanced integration.
Settlement of Foreign Direct Investment (FDI) Disputes through Arbitration
Authors: AL-MUSLEHI SALEM , AL HUMAIDI THABIT
Published: January 2025

This research delves into the complexities surrounding the settlement of Foreign Direct Investment (FDI) disputes through arbitration, addressing the lack of a uniform definition of investment, the role of arbitration in attracting and safeguarding foreign investments, and the implications of the Oman Commercial Arbitration Canter (OCAC). Through legal analysis and comparative assessments, the study aims to highlight the importance of arbitration in resolving FDI disputes, examining the criteria for defining investments, the impact on investors and host countries, and suggesting enhancements to the Omani Arbitration Law to bolster investor protection and streamline dispute resolution processes within Oman.
Interactive Effects of Fit Mean, Fit Dispersion, and Team-Member Exchange on Team Performance
Authors: Seong Jee Young , Zhang Linyuan , Hong Doo-Seung , Yoon Hye Jung
Published: January 2025

This paper posits that person-group (PG) fit can be conceptualized into two distinctive subdimensions: PG fit mean and PG fit dispersion. Specifically, this study investigates how person-group (PG) fit mean, PG fit dispersion, and team-member exchange interact conceptually to influence team performance, examining the interactive effects of fit perceptions and exchange behaviors within teams at the group level in predicting team performance. The results based on a survey with full-time employees in Korea showed that the three-way interaction between PG fit, its dispersion, and team-member exchange predicts team performance. These findings highlight the importance of considering both contextual and relational factors when designing organizational strategies to enhance team effectiveness and sustainability.
Ocean Wave Energy Converter
Authors: Ranjan Kumod , Khare Anula , Gupta Manju
Published: January 2025

This research paper presents a comparative analysis of power extraction from an Oscillating Water Column (OWC) and a Point Absorber using mathematical modeling. Both systems are modeled under the same wave input conditions, with the OWC utilizing airflow dynamics to drive a turbine, and the Point Absorber modeled through heave motion equations. Linear wave theory and hydrodynamic interactions are applied to calculate power output. Results indicate that the OWC performs optimally in nearshore environments with consistent waves, while the Point Absorber is more efficient in offshore conditions. The comparison highlights how different wave characteristics influence energy capture efficiency.
Anomaly Detection in Data Streams Using Machine Learning and Deep Learning
Authors: Daneshwar Muhammad Amin
Published: January 2025

Data stream mining for movement has emerged as an important area of machine learning because of the huge amount of changing and continuous data coming from diverse sources such as social media, business sensors, and mobile communications. The goal of this anomaly identification in the data streams is to find patterns that deviate substantially from the way things usually work. This will be valuable information for making decisions in a large number of areas, including healthcare, management of financial risk, keeping communities safe, and operating the power grid. This research discusses the intractable ways of finding oddities in a stream of data with the corresponding predicaments of always having a new inflow of data, creating information fast, and also dynamics of information changing. We also observe how distinct deep learning and machine learning approaches are being used in different fields to rapidly detect anomalies. Some examples of the way these techniques have been used to discover network intrusions, malware, IoT outliers, healthcare anomalies, and credit card frauds are a demonstration of the techniques work.
An Autonomous Smart Metering Infrastructure Based on UAV Swarm: Planning and Design
Authors: Qassab Mustafa Siham , Ali Qutaiba Ibrahim
Published: January 2025

This research paper proposes a novel autonomous smart metering infrastructure based on a swarm of Unmanned Aerial Vehicles (UAVs), or drones. This infrastructure aims to overcome the limitations of traditional smart city applications by leveraging the flexibility, mobility, and scalability of UAV swarms. The proposed system comprises a Data Management Center (DMC) responsible for mission control and data analysis, and a self-organizing network of UAVs capable of autonomously executing pre-defined tasks. The paper details the system's operational framework, including initialization, flight, and data collection phases. Crucially, it addresses potential failure points and introduces novel failure prediction and recovery procedures to ensure system reliability. The paper also proposes specific system messages and communication protocols to facilitate efficient data exchange and coordination within the swarm. Finally, a mathematical evaluation of the system is presented, providing insights into expected latency and throughput for various scenarios. This research contributes to the growing body of knowledge on UAV applications in smart cities, paving the way for safer, more efficient, and resilient urban environments.
Analysis of the Effect of Website Quality on Customer Satisfaction Using the Webqual 4.0 Method Case Study: Villa Merah Picture Tutoring
Authors: Darmanto Tedjo , Maulana Cahya , Nurrahman Muhammad Esa , Rahmatunisya Linda , Maulana Priski Putra , Ramdhani Muhammad Rizky
Published: January 2025

This research aims to analyze the quality of the Villa Merah Picture Tutoring website on customer satisfaction using the Webqual 4.0 method. Using a quantitative approach, data was collected through a questionnaire distributed to users of the tutoring website. The Likert scale measures user perceptions of various aspects of website quality and customer satisfaction. Analysis was carried out to evaluate website quality based on the dimensions determined by the Webqual 4.0 method and to identify the relationship between website quality and customer satisfaction. It is hoped that the research results will provide better insight into the factors that influence customer trust in online tutoring services and provide guidance for business owners in improving website quality and strengthening relationships with customers.
Evaluating the teaching abilities of Residents to assess the effectiveness of their instruction.
Authors: Anam Nasir
Published: January 2025

Objective: Interns are frequently given teaching responsibilities in Pakistan. Interns are often recruited at the bottom of the teaching scale with little or no teaching experience and usually without any formal teacher training while pursuing undergraduate programs.
Methodology:  Assess the interns' level of teaching skill, so that if needed, appropriate action can be taken to raise the bar on instruction. This cross-sectional study was conducted by University of Faisalabad, from April to June 2023. Using Medical Education Teaching Readiness Questionnaire (METRQ) the knowledge, skill and attitude of the responders based on different experiences pertaining to medical teaching were accessed from fifty first-year dental interns approached for the questionnaire that was statistically evaluated in SPSS 21.
Results: Forty (80%) of the interns considered that mastering the basics of teaching, for example planning "what to teach" was necessary, but they were not prepared to teach. For skills, 38 (76%) respondents said that viewing their lecturers was very helpful, while only 1 (2%) said receiving feedback on their own instruction was helpful. At graduation, most of the factors, ranked as traits of teaching—such as drive, excitement, and competence—began to depreciate. When some experience in teaching had been accumulated during the internship, similar qualities showed clearly higher ratings.
Conclusion: In creating teacher-training programs or assessing the current state of those teaching in the health professions, METRQ can be a great tool to conduct needs assessments. Important for improving the quality of instruction and, thereby, the quality of education, are teacher training programs.
Keywords: Aptitude, Cross sectional studies, Needs Assessment, Teacher training.
Patient Safety Culture in Operation Theatres of Peripheral Teaching Hospitals
Authors: Ashir Naveed
Published: January 2025

Objective: to learn how postgraduate surgical and allied trainees at Arif Memorial Teaching Hospital (AMTH), Pakistan, feel about non-technical abilities in the operating room.
Methodology: A cross-sectional survey was conducted at the AMTH theaters, thirty postgraduate trainees filled the Operating Room Management Attitudes Questionnaire (ORMAQ).
Results: Except for procedural compliance and error disclosure, which point to differences in implementation and awareness, postgraduate trainees have good opinions about every aspect of the ORMAQ survey.
Conclusion: The findings mostly match those of earlier ORMAQ surveys of surgical teams conducted in other nations. Due to shady systematic working practices and cultural norms, the disparities highlight the possible hazard to patient safety. The results validate the use of human factor training and team interventions to apply protocols and guidelines. This survey also aids in gathering information for a hospital's quality assurance program.
Keywords: Non-technical skills, ORMAQ, patient safety, surgery, human factors
Artificial intelligence in Medical Education-A Crosssectional study in Private Setup
Authors: Arooj Javed
Published: January 2025

Objective: For healthcare providers, expectations, duties, and job descriptions must change as the information age fades and the artificial intelligence age becomes more prevalent. In order to identify areas that can benefit from curriculum restructuring, this study looked at how aspiring doctors perceived the potential effects of artificial intelligence on medicine.
Methodology: A nationwide study including 3018 medical students was carried out using a cross-sectional approach across multiple centers. An online survey created and disseminated using a web-based service served as the study's instrument.
Results: Artificial intelligence was viewed by the majority of medical students as an assistive technology that might ease patients' access to healthcare (76.7%), physicians' access to information (85.6%), and errors (70.5%). Nonetheless, 44.9% of the participants expressed concern over a potential cutback in physician services, which would result in joblessness. Additionally, it was decided that the application of artificial intelligence in medicine would harm patient-physician interactions (42.7%), devalue the medical profession (58.6%), and erode trust (45.5%). Furthermore, almost half of the participants (44.7%) agreed that they could maintain professional secrecy when using AI apps, whereas 16.1% contended that AI in medicine could lead to professional confidentiality violations. Out of all the individuals involved, a mere 6.0% claimed to be knowledgeable enough to advise patients about the advantages and disadvantages of artificial intelligence. 
Conclusion: The participants indicated that the medical curriculum needed updating in light of the requirements for transforming healthcare through artificial intelligence. In addition to ensuring that professional values and rights are upheld, the update should focus on providing aspiring physicians with the information and abilities they need to use artificial intelligence technologies successfully.
Keywords: Medical Students, Medical Ethics, Medical Curriculum, Artificial Intelligence Medicine
SMART-MD JPM: Best of 2024
Authors: Whitcomb David
Published: January 2025

Year 1 of SMART-MD Journal of Precision Medicine - ISSN 2997-2876
2024 has been a special year! See the fantastic content of year 1 in this summary with links to - "do not miss" content.
Valid Custom (‘urf al-sahih): Its Legitimacy and Implications in Nangarhar Province, Afghanistan
Authors: Fazli Fazal Hadi , Safi Shamsul Islam Shams
Published: January 2025

This study examines the role and implications of valid custom (urf al-sahih) in Nangarhar Province, Afghanistan, focusing on how traditional practices influence legal and social frameworks within the region. The aim of this article is to understand the significance of these customs in the everyday lives of the residents of Nangarhar province, particularly in maintaining social relationship and order. The importance of this research is to acknowledge the residents of Nangarhar province that they should follow and obey a custom which is in accordance with the common good and needs of a society. From the other hand, people must follow a custom which does not contradict people's interests, and at the same time does not propagate corruption in a society. The methodology used in this research is doctrinal and the research approaches are explanatory, descriptive and analytical. It is worth mentioning that this research study is entirely based on library sources. Most of the sources are reputable and trustworthy textbooks, scholarly published and unpublished journal articles, law reports, and online websites related to the research area. The findings suggest that all Islamic scholars pay special attention to valid custom. There is still some conclusive implications of the holy Quran and hadith that strongly support the mentioned custom. Furthermore, the adherence to valid customs contributes to social cohesion and stability within communities by reinforcing shared values and norms, which can enhance community solidarity and collective identity.
Innovative Approaches to Foreign Language Learning: A Study of Methods Including Duolingo and Beyond
Authors: Aliyeva Tahmina
Published: January 2025

This article examines the effectiveness of various methods of foreign language learning, including digital tools like Duolingo, traditional grammar-focused approaches, immersive learning environments, and the role of music in language acquisition. Through a comparative analysis, the study highlights the strengths and limitations of each method and advocates for a blended approach that integrates these techniques to maximize learning outcomes. The findings suggest that combining digital platforms, traditional methods, immersive experiences, and supplementary tools such as music provides the most comprehensive path to language proficiency. The article calls for further research into the integration of these methods in formal education systems.
NÚMEROS DA DOENÇA DE PARKINSON NO BRASIL NOS ÚLTIMOS 10 ANOS E O PAPEL DA DEEP BRAIN STIMULATION (DBS) NO TRATAMENTO DA INSTABILIDADE POSTURAL: UMA REVISÃO
Authors: Andrade Neto Gabriel Ribeiro , Nascimento Thiago Santos , Cruz Rafael Andrade
Published: January 2025

A doença de Parkinson (DP) é uma desordem neurodegenerativa progressiva que afeta o sistema nervoso central, principalmente as vias dopaminérgicas, com impactos sociais e econômicos significativos, especialmente em países como o Brasil. Este estudo teve como objetivo analisar os dados epidemiológicos da DP no Brasil entre 2014 e 2023 e revisar o papel da estimulação cerebral profunda (DBS) no manejo da instabilidade postural, um dos sintomas mais desafiadores da doença. Trata-se de um estudo observacional e retrospectivo, cujos dados foram obtidos das plataformas DATASUS/TABNET. O papel da DBS foi revisado a partir de publicações científicas nas bases PUBMED, SCIELO e MEDLINE. A DBS é indicada para casos avançados de DP, nos quais os sintomas motores, como tremor, bradicinesia e instabilidade postural, não respondem adequadamente a tratamentos farmacológicos. No entanto, os resultados da DBS na instabilidade postural são limitados, especialmente em estágios avançados. Estudos apontam benefícios moderados da DBS, com melhorias mais evidentes em equilíbrio dinâmico do que estático. Ensaios clínicos destacaram que o DBS no PPN pode melhorar a instabilidade postural em casos selecionados, embora com respostas variáveis. Adicionalmente, a integração com fisioterapia e reabilitação motora é essencial para otimizar os resultados. Conclui-se que, apesar de avanços na utilização da DBS para tratamento da DP, a instabilidade postural permanece um desafio, exigindo maior investigação científica e desenvolvimento de novas abordagens terapêuticas. Estratégias que incluam políticas públicas de acesso equitativo ao diagnóstico e tratamentos avançados, bem como maior ênfase na reabilitação funcional, são fundamentais para melhorar a qualidade de vida dos pacientes no Brasil.
Critical Success Factors of Public Private Partnership (PPP) Implementation inBangladesh
Authors:   Associate Professor, Department of Management, Bangladesh Open University, Gazipur 1705, Bangladesh, Ahmed Faruq , Md Mesbah Uddin ,   Professor, Department of Management, University of Dhaka, Dhaka 1000, Bangladesh., Mannan Zahed ,   Professor, Department of Management, University of Dhaka, Dhaka 1000, Bangladesh.
Published: January 2025

Research on key success factors (CSFs) for public-private partnership (PPP) initiatives in developing nations is lacking, especially in South Asian countries like Bangladesh, despite the necessity of such studies. The purpose of this research is to learn how different public and private sector actors in Bangladesh view the CSFs and how those views affect the implementation of PPP projects in the country's infrastructure. To learn how public and private sector actors view the CSFs and SSFs of PPP projects, a questionnaire survey was used. After reviewing the literature, we were able to identify CSFs and SSFs and test the level of agreement between public and private sector respondents. We utilized SPSS software to rank the CSFs and SSFs and look at the perceived disparities between the sectors; 59 responses were usable in total. According to the findings, "economic viability" was the most important criterion, followed by "suitable risk allocation," "sound financial packages," "promising investment environment," and "dependable concessionaire" in that order. The perceptions between the sectors are likewise found to be mixed. In Bangladesh, key parties must be engaged and consensus must be reached over this finding
Profile Face Recognition and Classification Using Multi-Task CascadedConvolutional Networks
Authors:   Students, The University of Texas at Arlington, Arlington, Texas, United States of America, Challapalli Srinivasa Sai Abhijeet
Published: January 2025

This paper presents an in-depth analysis of Multi-task Cascaded Convolutional Networks (MTCNN) for facial recognition, focusing on both frontal and side profile face detection and classification. MTCNN, known for its ability to simultaneously perform face detection, landmark
localization, and face alignment, is evaluated through a series of experiments. We assess its performance across key parameters, including cosine similarity, detection confidence, processing time, and accuracy
metrics such as true positives and false positives. The results demonstrate that MTCNN excels in recognizing frontal faces with high accuracy and fast processing times, achieving excellent detection confidence and low false positive rates. While the system also performs well on side profile recognition, some challenges with false positives are observed in more difficult cases. This is estimated using a Cartesian Coordinate System along with the angles between left eye, right eye and nose in a 2D Euclidean
space. It is evaluated on our own dataset as we could not find the appropriate one for this approach, with an accuracy rate of 84.7%. We also used a classifier for this approach called Random Forest Classifier.
The suggested approach involves integrating our dataset into the MTCNN model, which effectively extracts key features and recognizes facial landmarks. The attributes extracted are arranged in a structured
data frame with corresponding class labels, which serve as the Random Forest Classifier’s input. This classifier effectively trains to categorize and detect faces by using the extracted facial features to identify connections and patterns in the data. The application of cutting-edge deep learning techniques for feature extraction, along with the interpretability and effectiveness of the Random Forest Classifier, are important
aspects of this strategy. Combining these techniques provides a dependable and expandable approach to face recognition problems, appropriate for various practical uses like biometric information identification,security, and surveillance.
IoT Enabled Motor Drive Vehicle for the Early Fault Detection in New Energy Conservation
Authors:   Associate Professor, Department of Business School, Koneru Educational Foundation, Guntur, Andhra Pradesh-522302, India, B.V Sri Mythreyee ,   Students, Department of Business School, Koneru Educational Foundation, Guntur, Andhra Pradesh522302, India, T Snehanjali ,   Students, Department of Business School, Koneru Educational Foundation, Guntur, Andhra Pradesh522302, India, K Rohitha ,   Students, Department of Business School, Koneru Educational Foundation, Guntur, Andhra Pradesh522302, India, G.B Aditya Sriram ,   Students, Department of Business School, Koneru Educational Foundation, Guntur, Andhra Pradesh522302, India
Published: January 2025

The key areas of interest in respect of which analyses are provided within the context of the paper are sustainable business practices that can help drive the change towards a low carbon economy. The study focuses on advanced techniques for managing businesses to advance the link between economic development and environmental conservation to optimize economic and environmental performance. Furthermore, based on the features, discussed in the paper, it is possible to identify the meaning of the concepts making the organizations introduce sustainability factors, as well as the possible effect these decisions may have on their future performance. This paper explores the role of machine learning (ML) and data-driven business strategies in promoting sustainable business development within smart cities. By integrating ML models across various sectors such as energy management, transportation, waste management, water usage, public safety, and urban planning, cities can optimize resources, reduce environmental impact, and enhance overall efficiency. Results from implementing these strategies in a smart city context show a 10% reduction in energy consumption (from 200,000 kWh to 180,000 kWh), a 50% increase in renewable energy share (from 20% to 30%), and a 40% decrease in CO2 emissions (from 500 tons to 300 tons) due to the use of autonomous electric vehicles. In transportation, average traffic speed improved by 16.67% (from 30 km/h to 35 km/h), and public transport efficiency increased by 21.43% (from 70% to 85%). In waste management, waste collection costs were reduced by 20% (from $50,000 to $40,000), and the recycling rate increased by 40% (from 25% to 35%). Water usage efficiency rose by 12.5% (from 80% to 90%), while water leak incidents decreased by 60% (from 50 to 20). Additionally, predictive policing reduced crime rates by 40% (from 5 to 3 per 1,000 residents), and emergency response times improved by 33.33% (from 15 minutes to 10 minutes). Finally, urban planning efficiency increased by 25% (from 60% to 75%) in land use, and green space area expanded by 40% (from 50 to 70 square kilometers).
Optimizing Dallas-Fort Worth Bus Transportation System Using Any Logic
Authors:   Student, The University of Texas at Arlington, Arlington, Texas, United States of America, Challapalli Srinivasa Sai Abhijit
Published: January 2025

The bus transportation system, modeled using the AnyLogic simulation software, aims to optimize the flow of buses and manage key operational challenges such as bus bunching and delays. The simulation incorporates various elements, including bus agents, bus stops, and passenger behaviors, with a focus on how buses interact with each other and with passengers at different stops. The system is designed to simulate real-world bus routes, taking into account factors like bus speed, intervals, dwell times, and passenger load. By adjusting bus schedules and frequencies, the simulation tests different scenarios to identify strategies that minimize wait times, reduce delays, and improve service efficiency. This paper explores the optimization of bus transportation systems in the Dallas-Fort Worth area, focusing on addressing the challenge of bus bunching and improving overall service efficiency. Using the AnyLogic simulation tool, the study models the dynamics of bus operations, including factors such as bus intervals, dwell times, and passenger load variations during rush and normal hours. By adjusting bus schedules and service frequencies, the paper evaluates multiple optimization scenarios to identify strategies that reduce passenger wait times, minimize delays, and enhance system efficiency. The results demonstrate that strategically reducing bus intervals during peak hours and extending them during non peak hours can significantly improve operational performance, with service efficiency increasing from 75% to 88% under optimal conditions. The findings highlight the importance of tailoring bus schedules to passenger demand and time-of-day factors to mitigate issues like bus bunching and ensure more reliable public transportation services.
Editorial
Authors: Smolo Edib
Published: January 2025

We are pleased to present the second issue of the Journal of Economics, Law, and Society (JELS). This issue builds on the foundations laid in our inaugural publication, continuing to explore the critical intersections between economics, law, and societal dynamics. Our aim remains to foster scholarly discourse that bridges diverse disciplines, addressing contemporary challenges with innovative, multidisciplinary approaches.
The second issue features five diverse and thought-provoking articles that contribute to the advancement of knowledge in Islamic finance, economic sustainability, and the historical evolution of financial systems. Each article underscores the journal’s commitment to high-quality research and its role as a platform for intellectual exchange.
Surah Al-Qalam and the Tragedy of the Commons
Authors: Lloyd Haris
Published: January 2025

This paper examines Surah Al-Qalam (Chapter of the Pen) from the Qur’an, highlighting its economic and ethical implications through the lens of the ‘Tragedy of the Garden’ narrative (verses 17–32). The paper challenges traditional Tafsir interpretations and draws parallels with Garrett Hardin’s ‘Tragedy of the Commons’. Employing the Qur’anic exegesis method Tafsir-ul-Qur’an bil-Qur’an, the paper derives authentic Islamic principles such as stakeholder inclusion, sustainability, self-restraint, social responsibility, and cooperation over shared resources. The paper additionally explores contemporary applications of the Surah, including environmental conservation, public resource management, and sustainable corporate governance. By integrating modern concepts like game theory and stakeholder theory, the study demonstrates how Qur’anic principles can address current challenges, urging a re-evaluation of classical interpretations to unlock the Qur’an’s potential for advancing Islamic economic thought.
Hak Kepemilikan Harta Dalam Al-Qur’an
Authors: Ahmad Royhan Firdausy  , Zainol Hasan  , Supriyadi
Published: January 2025

This study aims to examine the concept of property ownership rights in the Qur'an, emphasizing the balance in life through the management of wealth for collective well-being. Islam acknowledges the natural human inclination toward owning wealth but establishes regulations to ensure that ownership benefits not only individuals but also the broader community. This research employs a descriptive-analytical method with a library research approach. Primary sources include the Qur'an, Hadith, and tafsir texts, supplemented by relevant supporting literature. The findings reveal that Allah SWT is the ultimate owner of all that exists in the heavens and the earth (QS. Al-Maidah: 120), while humans are entrusted with temporary ownership to sustain their livelihoods (QS. Al-Hadid [57]: 7). This ownership is categorized into three types: individual ownership, acquired through work (QS. Al-Jumu'ah [62]: 10) or inheritance (QS. Al-Baqarah [2]: 180; QS. An-Nisa’ [4]: 11-12); state ownership, which includes zakat, ghanimah, and fa'i (QS. Al-Anfaal [8]: 41; QS. Al-Hasyr [59]: 7); and public ownership, encompassing resources managed for communal benefit (QS. Ar-Rahmaan [55]: 10). This study contributes to the development of Islamic economic theory by emphasizing the importance of equitable wealth distribution and providing practical foundations for economic policies grounded in Qur'anic values to achieve collective prosperity.
Efektivitas Badan Arbitrase Syariah Dalam Sengketa Konsumen Pada Fatwa DSN-MUI Tentang Online Shop
Authors: Novriansyah Yudhi , Usdeldi
Published: January 2025

This research aims to examine the Effectiveness of the Sharia Arbitration Board in Consumer Disputes based on the DSN-MUI Fatwa regarding Online Shops. Considering the tendency of consumers to resolve consumer disputes through out-of-court channels (Non Litigasi). Using a qualitative descriptive method, this research examines related journals, compares research findings, and analyzes relevant regulations and fatwas. The research results indicate that there are still weaknesses in the Sharia Arbitration Board in resolving consumer disputes, including: the dispute resolution process requiring the agreement of both parties, the weak legal force of the decisions, limited legality, limited infrastructure that does not reach all of Indonesia, the need for reliable human resources for Sharia arbiters who understand online business issues, and the acceptance and legitimacy from the wider community
The Objective of Communication Technology (ICT) And Information System on Accounting Profession: An Analysis of Anan University, Kwall, Plateau State, Nigeria
Authors: Taiwo Hassan Sulaiman , Deborah Ojochenemi Egwuma
Published: January 2025

The relationship between ICT and the accounting profession in Nigeria is assessed in this study. A closed-ended, structured questionnaire was used as the research tool in this study and was given to the employees of the chosen businesses. The chi-square statistical tool, a non-parametric test used to ascertain whether a systematic link exists between two (2) variables, is used to assess the data acquired and retrieved from the research instrument used. The data analysis was conducted using the statistical package for social science (SPSS). According to the study's findings, there is a statistically significant correlation between ICT and the accounting profession in Nigeria. The research found that the accounting profession in Nigeria is impacted by the positive and robust relationship of ICT. A nation's rapid economic and social development is largely dependent on its ICT infrastructure, which has had an effect on the accounting profession in one way or another. Hajela (2005). This, result is also consistent with Buseni James's (2003) discovery that workers' skills and ICT use are connected, indicating that companies with high ICT usage also employ more knowledge workers
Exploring the Role of Artificial Intelligence in Enhancing Student Motivation and Cognitive Development in Higher Education
Authors: Elbadiansyah  , Sain Zohaib Hassan , Shehu Lawal Uthman , Chansa Thelma Chanda , Luqman Aziz Aulia
Published: January 2025

Artificial Intelligence (AI) has significantly transformed higher education in recent years by enhancing teaching methods and influencing student learning outcomes. This study investigates the effects of AI on student motivation and cognitive skills, addressing both the benefits and challenges of AI integration. The research adopts a mixed-methods approach, combining a comprehensive literature review with a questionnaire-based survey of 60 university students from diverse academic disciplines. The results indicate that AI tools, such as intelligent tutoring systems and learning analytics, increase student engagement, motivation, and problem-solving abilities. However, concerns regarding over-reliance on AI reduced creativity, and ethical issues such as privacy and fairness persist. This study highlights the potential of AI to foster personalized learning while emphasizing the need for responsible AI implementation to address its limitations.
Exploring the Ethical Dimensions of Halal Supply Chain Management with AI
Authors: Rochim Abdul , Azhari Julian Fajar , Maulidizen Ahmad
Published: January 2025

This study aims to explore the ethical dimensions of halal supply chain management through the utilization of artificial intelligence (AI). In the context of globalization and the rising demand for halal products, understanding how technology can support not only operational efficiency but also adherence to Islamic principles and ethics is crucial. The research examines the integration of AI technology in each phase of the halal supply chain, from the procurement of raw materials to the distribution of final products. Through literature analysis and case studies, the research identifies the ethical challenges faced at each stage, including transparency, accountability, and fairness in transactions. Furthermore, the study offers recommendations for developing ethical guidelines that can guide effective and responsible halal supply chain management practices. Findings suggest that with the appropriate application of AI, companies can enhance consumer integrity and trust while strengthening their position in the rapidly growing halal market. This research contributes to the existing literature on halal supply chain management and emphasizes the importance of incorporating ethical considerations in the digital era.
Formulasi dan Uji Aktivitas Antioksidan Emulgel dari Ekstrak Daun Bidara (Ziziphus mauritiana Lamk.)
Authors: Nur Ain Thomas  , Endah Nurrohwinta Djuwarno  , Widy Susanti Abdulkadir  , Andi Makkulawu  , Defita Zubaidi
Published: January 2025

Daun bidara (Ziziphus mauritiana Lamk.) merupakan tanaman yang memberikan manfaat luas berkat banyaknya senyawa yang terkandung didalamnya. Senyawa tersebut diantaranya adalah antioksidan dengan potensi aktivitas yang kuat. Emulgel adalah sediaan topikal jenis semisolid yang menggabungkan emulsi dan gel. Sediaan ini memiliki sifat penyebarannya yang baik di permukaan kulit, memberikan rasa lembut dan nyaman saat digunakan. Penelitian ini bertujuan untuk memformulasikan emulgel dari ekstrak daun bidara (Ziziphus mauritiana Lamk.) dan untuk mengetahui adanya kandungan akivitas antioksidan emulgel ekstrak daun bidara (Ziziphus mauritiana Lamk.)dengan menggunakan metode DPPH. Penelitian dimulai dengan mengekstraksi daun bidara (Ziziphus mauritiana Lamk.) kemudian mengoptimasi basis dengan variasi konsentrasi setil alkohol sebagai F1 3%, F2 5% dan F3 7%. Konsentrasi yang menghasilkan stabilitas fisik yang baik adalah F1 3%. Basis dengan konsentrasi 3% setil alkohol diformulasikan menjadi emulgel dengan variasi ekstrak daun bidara (Ziziphus mauritiana Lamk.) F1a 10%, F1b 15% dan F1c 20%. Masing-masing diuji stabilitas fisik seperti uji organoleptik, pH, daya sebar, daya lekat, viskositas dan uji freez thaw serta pengujian akivitas antioksidan dengan metode DPPH menggunakan spektrofotometer UV-Vis. Hasil yang diperoleh menunjukkan ketiga formula memenuhi syarat. Hasil uji statistik one way anova diperoleh p value lebih besar dari 0.05, Hal ini menandakan sediaan memiliki stabilitas fisik yang baik kecuali daya lekat dengan p value <0.05. Menunjukkan adanya perbedaan yang signifikan selama 28 hari penyimpanan. Hasil aktivitas antioksidan menunjukkan dimana IC50 F1a (255,19) dalam kategori sangat lemah, F1b (156,54) kategori lemah dan F1c (109,08) kategori sedang.
Pengaruh PhytoSolve 8004 Terhadap Stabilitas Fisik Krim Liposom Ceramide
Authors: Tungadi Robert , Thomas Nurain , Ramadhani Fika Nuzul , Paneo Mohamad Aprianto , Kahar Oktaviani
Published: January 2025

Ceramide merupakan komponen utama lipid interseluler dari stratum korneum yang diproduksi secara alami di kulit. Namun ceramide dapat berkurang seiring dengan bertambahnya usia dan faktor lainnya sehingga menyebabkan kulit menjadi kering. Untuk itu ceramide diformulasikan ke dalam bentuk liposom yang selanjutnya dibuat dalam bentuk krim dengan basis PhytoSolve 8004. Penelitian ini bertujuan untuk melihat pengaruh PhytoSolve 8004 terhadap stabilitas fisik krim liposom ceramide. Penelitian ini diawali dengan pembuatan liposom ceramide kemudian dilakukan karakterisasi menggunakan PSA (Particle Size Analyzer) dengan hasil 104 nm, PDI yaitu 0,205; dan entrapment efficiency sebesar 79,07%. Selanjutnya dilakukan pembuatan sediaan krim dengan berbagai variasi konsentrasi PhytoSolve 8004 yaitu F1 10%; F2 15%; dan F3 20%. Ketiga formula dievaluasi sifat fisiknya meliputi uji organoleptis, uji homogenitas, uji pH, uji daya sebar, uji daya lekat, uji viskositas dan pengujian freeze thaw. Hasil evaluasi fisik dari ketiga formula sediaan krim liposom ceramide memenuhi persyaratan evaluasi fisik yang baik. Tidak terdapat pengaruh yang signifikan dari variasi konsentrasi PhytoSolve 8004  yang digunakan dalam formula terhadap stabilitas fisik krim liposom ceramide.
Pengaruh Media Flash Card Terhadap Keterampilan Membaca Siswa Sekolah Dasar
Authors: Nurana Safa , Rosnaningsih Asih , Magdalena Ina
Published: January 2025

Riset ini berupaya mengevaluasi dampak penggunaan media flash card terhadap keterampilan membaca siswa kelas II di SDN Tegal Cabe, Kota Cilegon. Riset didasari oleh permasalahan rendahnya keterampilan membaca pada tingkat dasar, yang disebabkan oleh kurangnya motivasi dan metode pembelajaran yang kurang menarik. Eksperimen menjadi cara bedah dengan desain pre-test post-test control group. Terdiri dari dua kelompok kelas sebagai sampel, yakni kelompok eksperimen yang menggunakan media flash card dan kelompok kontrol yang menggunakan kartu kata tanpa gambar, masing-masing terdiri dari 15 siswa. Hasil riset mengungkap adanya peningkatan keterampilan membaca yang signifikan pada kelompok eksperimen dibandingkan dengan kelompok kontrol, dengan nilai rata-rata post-test kelompok eksperimen mencapai 82,33, sedangkan kelompok kontrol hanya 66,00. Analisis statistik dengan uji-t mengungkapkan bahwa nilai t-hitung (2,240) melebihi t-tabel (1,701) pada taraf signifikansi 95%, sehingga hipotesis nol (Ho) ditolak. Temuan ini mengindikasikan bahwa penggunaan media flash card terbukti efektif dalam meningkatkan keterampilan membaca siswa. Kesimpulannya, media flash card merupakan alternatif yang efektif untuk meningkatkan keterampilan membaca di tingkat sekolah dasar, dan perlu dilakukan pengembangan lebih lanjut dalam metode pengajaran yang inovatif.
Pengaruh Model SQ3R Terhadap Kemampuan Membaca Pemahaman Teks Cerpen Siswa Sekolah Dasar
Authors: Aisah Ratu Putri , Unaenah Een , Nurfadhillah Septy
Published: January 2025

Riset ini bertujuan untuk mengkaji efektivitas model pembelajaran SQ3R (Survey, Question, Read, Recite, Review) dalam upaya peningkatan kemampuan membaca pemahaman teks cerpen siswa kelas V SDN Padek 2 Kota Serang. Latar belakang riset ini didasari oleh rendahnya kemampuan membaca pemahaman siswa yang masih di bawah Kriteria Ketuntasan Minimal (KKM). Eksperimen semu digunakan sebagai cara bedah riset dengan desain pre-test post-test group control, melibatkan dua kelas yaitu kelas eksperimen yang menggunakan model SQ3R dan kelas kontrol dengan model pembelajaran konvensional. Hasil riset menunjukkan bahwa model SQ3R mampu meningkatkan kemampuan membaca pemahaman siswa, ditandai dengan peningkatan signifikan pada skor post-test rata-rata di kelas eksperimen dari 63,9 menjadi 81,7, dibandingkan dengan peningkatan di kelas kontrol dari 61,23 menjadi 75,85. Uji hipotesis juga memperkuat temuan ini, dengan t-hitung ≥ t-tabel (2,577 ≥ 2,002), yang berarti terdapat pengaruh signifikan dari penggunaan model SQ3R terhadap kemampuan membaca pemahaman siswa. Kesimpulannya, model SQ3R memberikan dampak positif dalam meningkatkan kemampuan membaca pemahaman siswa dan direkomendasikan sebagai strategi pembelajaran yang efektif di sekolah dasar untuk memperbaiki kualitas literasi siswa.
Mastering the Art of Chibi
Authors: Aulia Gina Fajri
Published: January 2025

Book Title: Beginner’s Guide To Drawing Manga Chibi Girls: Create Your Own Adorable Mini Characters.Author: Mosoko Miyatsuki and Tsubara Kodomaru.Year: 2021Publisher: Tuttle Publishing.Number of Pages: 184 pages.  ISBN: 978-480-531-613-9The book consists of six chapters: 1. Let's Start with the Basics; 2. Character with a 2.5 Head-to-Body Ratio; 3. Drawing Characters with Different Head-to-Body Ratios; 4. Drawing Chibi Faces; 5. Expressing Chibi Emotions; and 6. Inside the Artist Studio.
Peran Media Video Tutorial YouTube sebagai Sumber Penunjang Praktik Instrumen Gesek (Violin)
Authors: Yensharti Yensharti , Riyadi Lanang
Published: January 2025

Kebutuhan akan metode pembelajaran violin yang lebih fleksibel dan interaktif di era digital, menjadi akar permasalahan dalam penelitian ini. Tujuan penelitian ini adalah menelaah literatur terkait dampak penggunaan video tutorial terhadap keterampilan musik siswa serta mengidentifikasi tantangan dan kelebihan yang terkait. Metode penelitian yang digunakan adalah studi literatur dengan pendekatan kualitatif, di mana peneliti mengumpulkan dan menganalisis sumber-sumber literatur yang relevan. Hasil penelitian menunjukkan bahwa video tutorial secara signifikan meningkatkan keterampilan teknis siswa, memberikan aksesibilitas yang lebih baik, dan memungkinkan pembelajaran mandiri. Video tutorial juga membantu siswa memahami teknik dengan lebih baik melalui demonstrasi visual. Namun, tantangan terkait kualitas dan kredibilitas sumber video teridentifikasi, yang dapat memengaruhi efektivitas pembelajaran. Penelitian ini menekankan pentingnya integrasi video tutorial dalam kurikulum pendidikan musik dan perlunya pelatihan bagi pengajar untuk memaksimalkan potensi video tutorial sebagai alat bantu pembelajaran yang efektif, menciptakan pengalaman belajar yang menarik dan bermanfaat bagi siswa.
Analisis Proses Pembelajaran Membatik di Sanggar Batik Cikadu Tanjunglesung
Authors: Amalia Selvi , Kholifah Zahrah Luthfi , Juliani Novita Sausan , Kasmahidayat Yuliawan
Published: January 2025

Penelitian ini dilatarbelakangi oleh pentingnya pelestarian budaya batik di tengah arus globalisasi yang mengancam keberlanjutan tradisi lokal, khususnya di Sanggar Batik Cikadu, Pandeglang, Banten. Tujuan penelitian ini adalah untuk memahami proses pembelajaran membatik serta menggali nilai-nilai budaya dan pendidikan yang terkandung dalam setiap aktivitas di sanggar tersebut. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa pembelajaran membatik tidak hanya mengajarkan keterampilan teknis, tetapi juga mengintegrasikan nilai-nilai budaya lokal, seperti kesabaran, ketelitian, dan gotong royong, yang diinternalisasi melalui praktik langsung. Pembelajaran ini berperan penting dalam melestarikan warisan budaya dan meningkatkan kesadaran masyarakat akan identitas budaya mereka. Penelitian ini merekomendasikan pengembangan kurikulum yang lebih terintegrasi dengan kearifan lokal serta pemanfaatan teknologi digital untuk menarik minat generasi muda terhadap seni batik, sehingga keberlanjutan budaya batik dapat terjaga dan berkontribusi pada perekonomian lokal.
Graphic Organizers as a Power Tool: A Study Examining Critical Literacy Development among Primary Learners in Rural Ghana
Authors: Scott Lakia , McKamie Jessica
Published: January 2025

This study explores the role of repetition and bilingual instructional strategies in fostering critical literacy in multilingual classrooms. Classroom observations were conducted in dual-language immersion settings, where English was used as the academic language and Twi as the native/social language. The findings reveal that while repetition is a common strategy, it is insufficient for promoting higher-order cognitive skills such as analysis, evaluation, and synthesis, which are essential for critical literacy. The study highlights the effectiveness of graphic organizers in supporting students’ comprehension and engagement with academic texts in English, demonstrating their potential as a cost-effective tool in resource-limited environments. The research also underscores the importance of integrating both languages in bilingual education to enhance cognitive development. Based on these findings, the study recommends that educators move beyond rote learning to incorporate strategies that foster critical thinking, and that professional development programs focus on bilingual instructional practices and the use of low-cost tools like graphic organizers. The implications of this research extend to bilingual education, critical literacy, and the development of cost-effective teaching strategies in multilingual classrooms.
The Relationship Between Lower-Body Flexibility and Running Performance in a Half Marathon Downhill Running Event
Authors: Petty Logan , Lawrence Marcus M.
Published: January 2025

Although previous studies examining treadmill or relatively flat overground running events have found relationships for running performance and flexibility, no study has examined these outcomes during downhill events, including between sexes. Therefore, the purpose of this study was to determine if a relationship exists between lower body flexibility and running performance in recreational adult male and female distance runners competing in a downhill half marathon race. Recreational (n=11 male, n=19 female) adult distance runners completed this study. On the day prior to the race, participants performed a standardized warm-up, followed by determining their sit-and-reach flexibility. The next day, individuals ran their race and their performance scores were recorded using the race organizers website. Pearson correlation coefficients (r) were determined between race time and flexibility. Sex differences were determined using independent t-tests, with significance set at p<0.05. A significant relationship was observed across all participants for race performance and flexibility (r=0.42, p=0.01), but was not when separating out male (r=0.53, p=0.10) and female (r=0.32, p=0.19). Sex differences were observed for performance times (male: 6692.0±920.1 vs female: 7613.3±1073.5 sec., p=0.021, d=0.84), but not flexibility (male: 28.1±8.4 vs female: 32.9±10.8 cm, p=0.19, d=0.47). Flexibility is an important component of running performance, but may have less predictive ability by sex in downhill running performance in recreational runners.