Applying a reproducible research approach to distance education by M. A. Eremeev, O. V. Trubienko, I. I. Zakharchuk

“…Agile project management methodologies such as Scrum, along with Infrastructure-as-Code approaches in information and telecommunication infrastructure management, and Documentation-as-Code approaches in documentation development, aim to present design, development, testing, and documentation as short cycle iterative processes to permit the rapid and transparent addition of new product value in discrete portions. …”
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Unipa-GPT: Large Language Models for university-oriented QA in Italian by Irene Siragusa, Roberto Pirrone

“…Further comparison with other Large Language Models and the experimental results during the SHARPER night are illustrated. Corpora and code are available on GitHub1.…”
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An Actor-Oriented and Architecture-Driven Approach for Spatially Explicit Agent-Based Modeling by Eric Fotsing, Severin Vianey Tuekam Kakeu, Eric Desire Kameni, Marcellin Julius Antonio Nkenlifack

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Noise-induced self-supervised hybrid UNet transformer for ischemic stroke segmentation with limited data annotations by Wei Kwek Soh, Jagath C. Rajapakse

“…The code is available at https://github.com/vicsohntu/HUTNSS_CT .…”
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Cross-border labor market participation in the Greater Region for young people - challenges for social work(ers) by Ulrike Zöller

“…These"should be offered socio-educational assistance within the framework of youth welfare, which promotes their school and vocational training, integration into the world of work and their social integration" (SGB VIII §13 (1); German Social Code Book VIII, Paragraph 13, Section 1). …”
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WEB VULNERABILITIES DETECTION USING A HYBRID MODEL OF CNN, GRU AND ATTENTION MECHANISM by Sarbast H. Ali, Arman I. Mohammed, Sarwar MA. Mustafa, Sardar Omar Salih

“…When using the dataset SXCM1, our model achieved 99.77%, 99.66% and 99.63% for training, validation and testing, respectively. The results obtained on data from the DPU-WVD dataset are even better because it was 99.97%, 99.98% and 99.99% for training, validation and testing, respectively. …”
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Attitudes of University Students Toward Statistics as a Pathway to Data Literacy: A Meta-Analysis by Rosaura Fernández Pascual, David Caballero Mariscal, Maria Pinto, Ana Eugenia Marín-Jiménez

“…Intrinsic and extrinsic moderating variables such as region, discipline, educational level, learning methodology, code-based software practice (RStudio), and source were also analyzed. …”
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R2GenGPT: Radiology Report Generation with frozen LLMs by Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

“…Our code is available at https://github.com/wang-zhanyu/R2GenGPT.…”
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Colour guided ground-to-UAV fire segmentation by Rui Zhou, Tardi Tjahjadi

“…The code is available at https://github.com/Rui-Zhou-2/Colour-Mix.…”
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Employing large language models to enhance K-12 students’ programming debugging skills, computational thinking, and self-efficacy by Shu-Jie Chen, Xiaofen Shan, Ze-Min Liu, Chuang-Qi Chen

“…The introduction of programming education in K-12 schools to promote computational thinking has attracted a great deal of attention from scholars and educators. Debugging code is a central skill for students, but is also a considerable challenge when learning to program. …”
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Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

“…In simulation environments, Decima# reduced the average job duration by 19% compared to the Decima algorithm, while also achieving a 56% increase in training convergence speed. Code has been made available at https://github.com/limengzhaolihai/spark-decimasharp-ppog.…”
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Quantifying dislocation-type defects in post irradiation examination via transfer learning by Michael Wu, Jeremy Sharapov, Matthew Anderson, Yu Lu, Yaqiao Wu

“…This work approaches dislocation-type defect identification and segmentation using a standard open-source computer vision model, YOLO11, that leverages transfer learning to create a highly effective dislocation defect quantification tool while using only a minimal number of annotated micrographs for training. This model demonstrates the ability to segment both dislocation lines and loops concurrently in micrographs with high pixel noise levels and on two alloys not represented in the training set. …”
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“Shrink back is not my intention”: a qualitative exploration of Chinese security guards’ experiences with bystander CPR by Mingzhu Yang, Junyang Song, Yuanyuan Jin, Youqing Peng

“…Participants also shared their perspectives on the desired CPR training, including trainers, training contents, training formats, and training incentives. …”
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Bridging the Security Gap in SDLC: Challenges and Solutions for Local IT Firms in Bangladesh by Ibrahim Fatima, Ashfaque Youhana Ebnul, Roknuzzaman Md., Islam Merajul, Sumi Sadia Jaman, Nahar Nujhat, Hasan Mahady

“…Current approaches rely heavily on traditional methods like code reviews and penetration testing, with newer techniques largely absent. …”
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Dynamic Behavior of an Oil Droplet Adhered to the Wall Surface in a Channel Flow by the Lattice Boltzmann Method by M. Varmazyar, R. Mohamady, M. Bazargan

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Efficient Multi-Stage Self-Supervised Learning for Pathology Image Analysis via Masking by Ming Feng, Weiquan Huang, Liang Hu

“…To address this, we propose the Rapid Histopathology Pre-training (RHP) framework, which employs a simple yet effective method for training vision Transformers. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…Federated learning (FL) offers a new distributed learning paradigm that protects privacy by transmitting model updates from edge servers to local devices, allowing training on local datasets. Nevertheless, the training parameters communicated between local mobile devices and edge servers may contain raw data that malicious adversaries could exploit. …”
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EFH:an online unsupervised hash learning algorithm by Zhenyu SHOU, Jiangbo QIAN, Yihong DONG, Huahui CHEN

“…Many unsupervised learning to hash algorithm needs to load all data to memory in the training phase,which will occupy a large memory space and cannot be applied to streaming data.An unsupervised online learning to hash algorithm called evolutionary forest hash (EFH) was proposed.In a large-scale data retrieval scenario,the improved evolution tree can be used to learn the spatial topology of the data.A path coding strategy was proposed to map leaf nodes to similarity-preserved binary code.To further improve the querying performance,ensemble learning was combined,and an online evolving forest hashing method was proposed based on the evolving trees.Finally,the feasibility of this method was proved by experiments on two widely used data sets.…”
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Self and Peer Correction to Improve College Students’ Writing Skills by Irais Ramírez Balderas, Patricia María Guillén Cuamatzi

“…This study highlights the importance of allocating class time for continuous training to allow students to systematize their writing practices.…”
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THE COMOR PROJECT – A MULTI-CRITERIA RESEARCH OF ORGANIZATIONAL CULTURE IN ROMANIA by Constantin ROȘCA, Nicolae ISTUDOR, Nicolae SICHIGEA

“…Representing an experiment of the Scientific Society of Management in Romania, conducted together with the Association of Faculties of Economics, Romania, the COMOR project studies in an analytical manner the many forms of expression of organizational behaviors - generally - and of managerial ones- in particular through the value judgments of a broad spectrum of respondents (7655 managers and non-managers, males and females, young and elderly people, with higher and secondary education, managers and employees, with or without institutionalized managerial training) working in 594 companies from all areas of economic activity (according to the NACE code ) of the Romanian counties and who expressed their views in two situational aspects (according to the evaluations of current situation - on the one hand, and - in parallel –according to a prognosis desired by the respondents, on the other hand). …”
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