bluuebunny/crossref_metadata_2025_split huggingface dataset:
School Budget Management Training at SMP Katholik Don Bosco Semboro Tanggul – Jember
Authors: Prayitno Budi , Wany Eva , Yustisie Renta 
Published: December 2024

Objective: This study aims to enhance financial and administrative management at SMP Katholik Don Bosco Semboro Jember, an educational institution that has experienced significant growth in assets and scale. This growth necessitates the adoption of efficient and accountable financial practices to establish robust and credible organizational governance. Method: The method employed includes a structured approach of training sessions, continuous assistance, and activity evaluations. Each session is designed to address gaps in financial and administrative management, focusing on budget discipline, financial planning, and accurate record-keeping. A training module was also provided to aid in participants' understanding of the material. Results: The activities were well-received by the school's finance and administrative staff, resulting in improvements in budget planning, transparent financial reporting, and streamlined administrative processes. Adherence to applicable financial standards further enhanced accountability and efficiency in the school's financial management. Novelty: The novelty of this study lies in its comprehensive, practice-oriented training model tailored specifically for educational institutions. This model offers a replicable framework for similar foundations seeking to strengthen their financial governance. The outputs include a training module and an improved financial management framework adapted to the needs of SMP Katholik Don Bosco Semboro Jember, providing long-term benefits for the foundation’s financial accountability and organizational credibility.
Evaluasi Implementasi Kurikulum Merdeka Belajar di Madrasah Ibtidaiyah Nahdlatul Wathan Mengkuru Sakra Barat Lombok Timur
Authors: Sayuti Lalu , Zulfani Sesmiarni  , Silfia Hanani  
Published: December 2024

Tujuan dari kegiatan ini yaitu untuk memberikan gambaran pelaksanaan asesmen madrasah, asesmen kompetensi minimal dan survei karakter, penyusunan RPP yang efektif, efisien dan berorientasi pada pembelajaran siswa, serta penerimaan siswa zonasi baru di Madrasah Ibtidaiyah Nahdlatul Wathan Mengkuru Sakra Barat, Lombok Timur. Metode yang digunakan dalam pengabdian ini adalah metode workshop dengan memberikan evaluasi ke lokasi pengabdian dan membandingkan menggunakan literatur (kepustakaan) baik berupa buku, catatan pedoman maupun lainnya yang disajikan secara deskriptif. Hasil yang diperoleh penerapan kurikulum merdeka belum dilaksanakan secara penuh dalam kegiatan pembelajaran di kelas, karena guru masih dalam proses pembelajaran di karenakan kurikulum ini adalah kurikulum baru.
Políticas de comunicación y comunicación política. Senderos e intersecciones, de Glenn Postolski (idea y coordinación) (2024)
Authors: Manguia Silvina 
Published: December 2024

“La Política y la Comunicación (así, con mayúsculas) son, probablemente, dos de los conceptos con mayores intersecciones en el marco de las ciencias sociales”, afirma Alicia Entel en este libro que da cuenta de las múltiples entradas posibles que la confirman. Recorrerlo permite reencontrarse con las preocupaciones de Glenn Postolski y los autores que participaron de él. En una búsqueda por enunciar respuestas a un presente hostil donde no solo se vulneran derechos, se alienta la desinformación y se promueve la “maquinaria económica política al servicio de la desinformación”, limando o reduciendo a simple enunciado a la Ley de Servicios de Comunicación Audiovisual, Políticas de comunicación y comunicación política. Senderos e intersecciones ofrece posibles salidas a través de proyectos de políticas públicas que pueden ser exitosas.
La centralidad de los márgenes. Homenaje a través de sus textos, de Glenn Postolski. Compilación y edición de Alicia Entel y Susana Sel (2024)
Authors: Manguia Silvina 
Published: December 2024

Inspiradas en la obra y el pensamiento de Glenn Postolski, las escritoras Alicia Entel y Susana Sel recopilan seis artículos suyos. Los textos sintetizan su trayectoria profesional como investigador, docente, político y militante de las políticas emancipadoras de la comunicación social y el derecho a la comunicación democrática e igualitaria. Como lo señala su título, el libro es un homenaje a la vida académica y política de quien fue un hacedor de iniciativas en los roles que le tocó desempeñar como decano de la Facultad de Ciencias Sociales de la Universidad de Buenos Aires, como docente y director de la Carrera de Ciencias de la Comunicación de esta casa de estudios, como Subsecretario de Planificación Académica y Subsecretario de Medios de la Universidad de Buenos Aires, entre otros.
Punteros, malandras y porongas. Ocupación de tierras y usos políticos de la pobreza, de Jorge L. Ossona (2024)
Authors: Mora Matías 
Published: December 2024

Jorge Ossona es un historiador que se desempeña como docente universitario, investigador y columnista habitual en el diario Clarín. Durante el año 2014 publicó el libro Punteros, malandras y porongas realizando un trabajo etnográfico profundo, mediante el cual analiza y examina la compleja y delicada situación de las ocupaciones de tierras ocurridas entre los períodos 1983 y 2001 en el partido bonaerense de Lomas de Zamora, particularmente en el fragmento denominado como “Campo Unamuno”, ubicado en la periferia más vulnerada y humilde de Villa Fiorito. El trabajo histórico de reconstrucción de los enlaces políticos, económicos, sociales y familiares de los distintos actores que se desempeñaron en las tomas de los terrenos que bordeaban al antiguo arroyo Unamuno se da en un contexto particular; la narración nos lleva a situarnos al final del período dictatorial, en el retorno a la democracia con el gobierno de Alfonsín y la disputa con el peronismo, atravesando luego el gobierno menemista con las políticas neoliberales como principal expresión, hasta el estallido social en 2001 con el gobierno de De la Rúa.
An Automated Fingerprint Image Detection and Localization Approach-based Unsupervised Learning Algorithms using Low-quality Biometrics Plam Data
Authors: Jadaan Abed Abdulrasool , Abdulhadi Abdullah Dhahir 
Published: December 2024

In this study, fingerprint identification and classification of low-quality fingerprints have been analyzed accordingly. As technology advances and methodologies evolve, staying at the forefront of research and innovation is imperative. The challenges addressed in this paper provide a foundation for future investigations and underscore the importance of developing resilient and adaptable biometric systems for real-world applications. The quest for accurate, efficient, and robust fingerprint identification in adverse conditions is a testament to the continuous evolution and refinement of machine learning and deep learning approaches in biometrics. While deep learning models exhibited improved performance, it is essential to acknowledge the need for further research and development in this domain. Additionally, integrating multimodal biometric systems and combining fingerprint data with other biometric modalities might present a viable avenue for mitigating the limitations associated with degraded fingerprints. In this paper, we develop a fingerprint identification approach for low-quality fingerprint images. The success rate accuracy of the propped algorithm for the low-quality fingerprint images should be significantly better than that of the standard local minutia approach. The main design of our deep learning approach is based on detecting and extracting the primary correlation during the training and using the correlation feature map to calculate the distance between the low-quality fingerprint images during the predicting phase. The experimental results show a very promising repulsing and high prediction accuracy.
Traffic Violation Detection Using Computer Vision Techniques
Authors: Ong Chin Sin , Connie Tee , Ong Goh Michael Kah 
Published: December 2024

The increasing number of road accidents is still a global concern. Traditional approaches to detecting traffic violators on the road, such as radar guns and sensors, are expensive and time-consuming to maintain and install. This often results in inefficient and ineffective detection of traffic violators. This paper proposes a more cost-effective and efficient approach to traffic violation detection utilizing visual data from CCTV footage. Specifically, the method targets two common violations: crossing red lights and overtaking on double lines. In this study, YOLO is integrated for road object detection, providing the detection of vehicles and traffic lights on the road for our system. Then, the Deep SORT tracker tracks detected vehicles, ensuring continuous monitoring over time. An automated lane detection technique is formulated to identify the stopping line/lane for red light violation detection, enabling precise detection of vehicles that cross the stop lane during red light. For overtaking detection, the system detects the double line to serve as the boundary that vehicles should not cross, identifying illegal overtaking. Furthermore, point-line distance calculation is utilized to detect traffic violators by analyzing their tracked trajectories and positions. The proposed solution is evaluated using real-world CCTV footage from online repositories to reflect the real-world scenarios as closely as possible. Experimental results show that the proposed techniques achieve promising detection of real-time traffic violators, which leads to a safer environment for road users.
PRiSm: Policy Recommendation Systems in Cadastral Survey Using National Public Opinion Big Data
Authors: Lee Kihoon , Chang Yohan 
Published: December 2024

Cadastral surveys are vital for assessing individual properties and generating national statistics. In South Korea, rapid territorial changes have exposed personal-level issues, while current systems limited public engagement capabilities have constrained policymaking. Although efforts have been made to bridge this gap, they have been hindered by the lack of an effective medium. This study introduces a novel framework, PRiSm (Policy Recommendation Systems in Cadastral Survey), which leverages National Public Opinion Big Data. We collected and analyzed two key data sources: 1) public opinion data from 2018 to 2023, which correlates strongly with cadastral resurveys across South Korea, and 2) content from 54 major news media outlets over the same period. The first data set represents bottom-up opinions at the individual level, while the second reflects top-down perspectives on national issues. The PRiSm system, developed in this study, utilizes Natural Language Processing (NLP) and advanced Machine Learning (ML) techniques, including Word2Vec and a Genetic Algorithm for hyperparameter optimization, to process over a thousand inquiries and news articles. Our results highlight how different groups engage in discussions shaped by their interests and concerns, revealing key sensitivities and recommending terms invaluable for stakeholders and policymakers. We anticipate that PRiSm will offer meaningful insights for the public and decision-makers. Additionally, with more advanced ML and/or Deep Learning algorithms, there is significant potential for further advancements in NLP within the PRiSm framework.
A Novel Information Hiding Approach using Selective Quantization Technique in Video Coding
Authors: Hau Joan , Tew Yiqi , Tan Li Peng 
Published: December 2024

This research examines the different areas of information hiding in current and emerging video compression standards. In the subsequent sections, we provide a detailed comparison of these techniques based on partition modes, prediction units, transform coding, and syntax elements. It shows the engineer and the reader that none of the methods are perfect but are the best for selected applications. We also consider the new video coding standards that have recently appeared, H.266/Versatile Video Coding (VVC) and H.265/High-Efficiency Video Coding (HEVC) and stress the fact that information hiding is critical in attaining such high compression efficacy. To facilitate the reader's understanding of all the relative information, the table that provides the analysis of each technique is presented in the form of a simple listing containing information about each technique's advantages, disadvantages, impacts, and practical applications. The current resource is intended to assist researchers and practitioners in optimizing information hiding for improved video compression. The study's outcome can contribute to enhancing knowledge of information hiding and the new developments of information hiding in video compression beyond what current research offers now, as well as provide a foundation for fresh advances in the field. Further, it is introduced to selective quantization techniques as the approach to information hiding. This method also minimizes this distortion while putting the information into the compressed stream. Finally, we evaluate the performance of this introduced approach towards information hiding capacity and maintaining video quality, with the potential to inspire further research and development in the field.
Comprehensive Review of Security Requirements for Mitigating Threats and Attacks on IoT Assets
Authors: Janisar Aftab Alam , Shafee bin Kalid Khairul , Sarlan Aliza Bt , Iqbal M. Aqeel , Amir Khan Muhammad 
Published: December 2024

Machine learning and artificial intelligence are increasingly being utilized to automate identifying and defining security requirements (SR) and addressing diverse IoT security issues. Despite its extensive environment, IoT-focused cyberattacks had the largest attack surface. IoT security requirements include data confidentiality, integrity, authentication, access control, and privacy. Inadequate emphasis on assessing security requirements leads to attacks and threats. To address the security issues that threaten the IoT environment, additional security measures are required to protect IoT-based applications from threats and other vulnerabilities. However, the absence of the security requirement assessment in IoT systems architecture jeopardizes security, exposing the system to vulnerabilities and risking organizational assets and reputation while also escalating the cost and time required to address security issues. In this study major threats and attacks are identified relevant to the assets of IoT security requirements. To systematically identify, analyze, and address potential security threats and attacks related to IoT assets, this research proposes a three-step methodology: (1) analysis of the IoT security requirements, (2) Identification of threats and attacks in IoT, and (3) IoT assets centric security threats and attacks. An illustrative example of IoT asset security is provided to highlight potential attacks and threats relevant to IoT assets. This approach offers a practical and clear foundation for the early identification of IoT security requirements and their seamless integration into requirements engineering (RE) activities, contributing to a more secure and resilient IoT system architecture.
Virtual Reality in Algorithm Programming Course: Practicality and Implications for College Students
Authors: Dewi Ika Parma , Ambiyar - , Mursyida Lativa , Effendi Hansi , Giatman Muhammad , Efrizon - , Hanafi Hafizul Fahri , Ali Siti Khadijah 
Published: December 2024

Virtual Reality (VR) is one of the revolutionary technologies in education that can simulate learning interactively and realistically. The reliability of VR supports various variations in learning, including learning programming algorithms. This research aims to design and develop VR in learning programming algorithms. The ADDIE model is applied in this study to develop products through the stages of analysis, design, development, implementation, and evaluation. The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. Therefore, this VR learning design integrates various elements of students' learning styles, including visual, audiovisual, kinesthetic, and reading. The product developed is in the form of a VR application that presents learning by having a variety of learning styles. Audiovisual displays are presented in a VR environment, while kinesthetic interactions are obtained through user movements, and material information and readings are presented in a VR environment. The data collected included the results of a practicality and effectiveness test involving sixty-six students. The results of the practicality test show that this VR product is practical to use based on the indicators of convenience, attractiveness, efficiency, and benefits. Meanwhile, the effectiveness test shows that this VR product can improve learning outcomes better than traditional learning methods. Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. The presence of VR, which presents a variety of realistic displays in a virtual environment, opens opportunities for further research related to distance learning through VR technology as well as an analysis of the impact of VR on health.
Problem-Frame-Oriented Requirements Traceability to Enhance Requirements Management
Authors: ShengWen Xiao , Hassan Sa'adah , Che Pa Noraini 
Published: December 2024

Managing software requirements is a challenge in software development and maintenance. Requirements changes are inevitable, particularly in a rapid iterative development approach that leads to occasional changes in software requirements. Unable to manage this properly will impact the overall quality of the software. Thus, requirements traceability is essential because it ensures that all requirements are adequately addressed, changes are managed effectively, and that there's a clear linkage between business requirements and the system's functionality. Inadequate traceability mechanisms can make changing the requirements and detecting their impact difficult. Thus, it is crucial to establish precise requirements traceability and maintain clear links to manage the requirement changes effectively. Our research explores using a problem frames modeling approach to address this issue. It starts by representing requirements as problems, creating a requirements relationship diagram, and generating a corresponding relationship matrix. The values in the traceability matrix help identify which elements are most affected by requirement changes, allowing developers to prioritize changes that minimize overall system impact. Furthermore, using problem frame modeling, complex problems can be broken down into manageable sub-problems, providing a clear structure for understanding the requirements. Additionally, a tool has been created to streamline the process, and a case study is used to demonstrate the functionalities. An evaluation has been conducted to assess the usability of the proposed work. The requirements relationship diagrams and relationship matrices visually and quantitatively map the links between requirements, enabling traceability and identifying the impact of changes in requirements.
Lee M. J. Moral Transformation in Greco-Roman Philosophy of Mind: Mapping the Moral Milieu of the Apostle Paul and his Diaspora Jewish
Authors: М.В. Ковшов 
Published: December 2024

Апостол язычников, как известно, не только хорошо знал, но в целом положительно относился к греко-римской этической философии, о чем свидетельствуют работы таких современных ученых, как Абрахам Малербе, Троэльс Энгберг-Педерсен, Стэнли Стауэрс, Эмма Вассерман и других. В этот большой поток исследований вписывается и рецензируемая книга Макса Ли «Моральная трансформация в греко-римской философии разума: картографирование моральной среды апостола Павла и его современников из иудейской диаспоры».
The Apostle of the Gentiles, as is known, not only knew well, but generally had a positive attitude towards Greco-Roman ethical philosophy, as evidenced by the work of such modern scientists as Abraham Malherbe, Troels Engberg-Pedersen, Stanley Stowers, Emma Wasserman and others. Max Lee's peer-reviewed book "Moral Transformation in the Greco-Roman Philosophy of Mind: Mapping the Moral Environment of the Apostle Paul and his Contemporaries from the Jewish Diaspora" fits into this large stream of research.
Контекст публикации дневника «На пути в объятия Отчи» иеросхимонаха Феодосия (Харитонова)
Authors: Н.В. Солодов 
Published: December 2024

Дневник Василия Харитонова, будущего иеросхимонаха Феодосия Карульского, опубликованный в журнале «Церковное слово» в 1907–1908 гг., интересен как свидетельство аскетического пути афонского подвижника и как источник биографических сведений о нем. Публикация дневника ставит перед биографами о. Феодосия несколько вопросов. Как попала рукопись дневника в редакцию журнала «Церковное слово»? Знал ли автор дневника о публикации? Кто был посредником в передаче материалов? Документов, содержащих прямые ответы, нет, однако внимательное изучение контекста позволяет сделать вероятную реконструкцию: публикация состоялась благодаря прямому или косвенному участию в ней вологодского епархиального миссионера Н. Н. Следникова (впоследствии епископа Неофита) и его помощников иеромонаха Симеона (Стефанова) и священника Аполлинария Заплатина. Восстановление их биографий и общей обстановки вокруг издательских проектов Вологодской епархии составляет дополнительный результат исследования.
The diary of Vasily Kharitonov, the future Hieroschemonk Theodosius of Karul published in the journal «Church Word» between 1907 and 1908 is an interesting source of evidence for the ascetic life of an Athonite monk. It also provides biographical information on him. The publishing of the diary raises several questions for the biographers of Father Theodosius: how did the manuscript get to the editorial office? Did the author know about the publishing? Who was involved in transferring the materials? There are no direct answers in the documents, but careful analysis of the context can help us make a plausible reconstruction: the publishing was facilitated by the direct or indirect involvement of N.N. Slednikov, later Bishop Neophytus, and his assistants, Hieromonk Simeon and Priest Apollinaris Zaplatin. The restoration of their biographies and the overall situation around the publishing projects of the Vologda Diocese are additional results of the study.