A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…In addition, Google Colab supports learning by providing a collaborative and accessible programming environment. …”
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The Importance of Clinical and Radiological Correlation in Pediatric Orbital Floor Fractures: Computed Tomography Imaging Findings and Clinical Outcomes by Etkin Boynuyogun, Batuhan Temiz, Arda Yavuz, Ugur Kocer

“…Interdisciplinary collaboration, prompt diagnosis, and timely surgical intervention are essential to prevent persistent orbital dysfunction.…”
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Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI by Tianze Xu, Jixing Li, Xiaoming Jiang

“…This study demonstrates an alternative method to engage with the debate on argument structure, highlighting a collaborative effort between theoretical, neuroscientific, and computational linguistics.…”
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Artificial Intelligence Applied to Computational Fluid Dynamics and Its Application in Thermal Energy Storage: A Bibliometric Analysis by Edgar F. Rojas Cala, Ramón Béjar, Carles Mateu, Emiliano Borri, Luisa F. Cabeza

“…By comparing two research domains—artificial intelligence in computational fluid dynamics and artificial intelligence in computational fluid dynamics applied to thermal energy storage—this paper identified a significant gap in the latter, as reflected in the low number of publications, limited collaboration networks, and weak citation relationships. …”
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Modeling instructional strategies and their transformative role in enhancing engagement and equity in computer studies: a quasi-experimental study by Chukwudum Collins Umoke, Musa Adekunle Ayanwale, Sunday Odo Nwangbo, Ngele Cletus Ezeoke, Sunday Okechukwu Abonyi, Stella Oluwakemi Olatunbosun

“…Over eight weeks, the treatment group experienced a modeling-based instructional approach emphasizing hands-on, collaborative learning, while the control group received conventional teaching. …”
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PROFESSIONAL AND APPLIED PHYSICAL TRAINING FOR STUDENTS OF COMPUTER ENGINEERING SPECIALTY IN THE TEMPORARILY OCCUPIED TERRITORY WITH USING DISTANCE LEARNING by Shuba Liudmyla, Shuba Victor, Shuba Victoria

“…On the other hand, negative aspects include: social isolation, reduced motivation, lack of stimulating environment, difficulty concentrating, insufficient physical activity, technical difficulties, challenges with assessment and reporting, lack of teacherstudent interaction, an increased self-discipline level, need for support and structure, and limited access to resources and opportunities for collaboration and group work. The purpose of the research is to develop a model of professional and applied physical training for students of Computer engineering specialty in the temporarily occupied territory with using distance/asynchronous learning in Ukraine. …”
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The Proposal and Validation of a Distributed Real-Time Data Management Framework Based on Edge Computing with OPC Unified Architecture and Kafka by Daixing Lu, Kun Wang, Yubo Wang, Ye Shen

“…Sensors, PLCs, and various types of automation equipment in smart factories continue to generate massive amounts of heterogeneous data, but existing systems generally have bottlenecks in data collection standardization, real-time processing capabilities, and system scalability, which make it difficult to meet the needs of efficient collaboration and dynamic decision making. This study proposes a multi-level industrial data processing framework based on edge computing that aims to improve the response speed and processing ability of manufacturing sites to data and to realize real-time decision making and lean management of intelligent manufacturing. …”
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Post-COVID-19 Student and Faculty Perceptions of Online Computing Labs: Better Targeted, Better Perceptions, but Still Need Improvement by Yunfei Hou, Miranda May McIntyre, Joyce Fu, Jesus Herrera, Hani Aldirawi, Montgomery Van Wart

“…Before the pandemic, computer science-related disciplines were less keen on online labs because of their inherently hands-on nature. …”
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Adaptive and survivable trust management for Internet of Things systems by Farhana Jabeen, Zia‐ur‐Rehman Khan, Zara Hamid, Zobia Rehman, Abid Khan

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Multi-node cooperative distributed offloading strategy in V2X scenario by Dun CAO, Yingbao ZHANG, Dian ZOU, Jin WANG, Qiang TANG, Baofeng JI

“…In order to cope with the dynamic changes of the offloading environment for computing resource-intensive and separable tasks in Internet of vehicle and deal with the problem that different collaborative nodes had different communication and computing resources, a distributed offloading strategy that multiple collaborative nodes had serial offloading mode and parallel computing mode in vehicle to everything (V2X) scenario was proposed.Utilizing the predictable motion trajectories of vehicle, the tasks were split into unequal parts, finally each part was computed on itself, mobile edge server, and vehicles in parallel.Then an optimization problem of the system time delay minimization was established.To solve the optimization problem, an offloading scheme based on the game theory was designed to determine the serial offloading execution order of the cooperative nodes.Considering the dynamic characteristics of Internet of vehicles, a sequential quadratic programming (SQP) algorithm was adopted to optimally split tasks.Finally, the simulation results show that the proposed strategy can effectively reduce system delay, and when multiple cooperative nodes offload in parallel, the proposed strategy can still maintain the stable system performance under the different parameter conditions.…”
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FORMATION OF FOREIGN LANGUAGE COMMUNICATIVE COMPETENCE IN THE INFORMATION TRAINING ENVIRONMENT OF HIGHER EDUCATION INSTITUTION AND THE PRINCIPLES OF SOCIAL CONSTRUCTIVISM by Alla B. Nisilevich, Ekaterina V. Strigova, Olga V. Haritonova

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Detecting Creative States From Emotional Cues: Insights From Speech With Focus on Text Modality by Sepideh Kalateh, Sanaz Nikghadam-Hojjati, Jose Barata

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Research and application of MEC service continuity technology by Lei MAO, Weibin WANG, Jian LUO

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Federated Learning for COVID-19 Detection: Artificial Intelligence-Assisted Diagnosis from Unsegmented Chest Computed Tomography Scans by Lucian Mihai FLORESCU, Cristina Mihaela CIOFIAC, Ioana-Andreea CÎRLIG, Rossy Vladut TEICĂ, Ioana Andreea GHEONEA

“…Three clients, each with distinct datasets, participated in the FL process, enabling collaborative model training without direct data sharing. …”
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Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

“…Meanwhile, a cloud-edge collaborative decision-making model is adopted to accurately analyze crop maturity through real-time processing of heterogeneous data. …”
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High-Performance and Lightweight AI Model with Integrated Self-Attention Layers for Soybean Pod Number Estimation by Qian Huang

“…With rapid advancements in artificial intelligence (AI), deep learning has enabled automatic pod number estimation in collaboration with unmanned aerial vehicles (UAVs). However, existing AI models are computationally demanding and require significant processing resources (e.g., memory). …”
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Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

“…The distributed collaborative training in EFL deals with delay and privacy issues compared to traditional centralized model training. …”
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Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments by Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han

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The Relevance of Computer Science and Arabic Language Learning Technology in Supporting Arabic Language Learning from The Perspective of Israel Scheffler by Muhammad Fadli Ramadhan, Suhayib Suhayib, Ichwanul Muttaqin, Mawadda Warahmah

“…Digital technologies, such as AI and interactive applications, have revolutionized learning methods, enabling more responsive and effective curricula and teaching methods. Collaboration between computer science experts and Arabic language educators through joint training and projects results in innovative solutions, improving teaching efficiency and enriching students' learning experience so that education remains relevant.…”
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Integrating computational thinking practices into early childhood education in culturally responsive ways: Insights from research–practice partnership by Jeanne Hubelbank, Mia Dubosarsky, Shakhnoza Kayumova, Tiffany Davis, Nea Sann, Shawn Fortin, Gillian Smith

“…The study outlines the collaborative development of processes and frameworks co‐constructed by the RPP educators, as well as teacher‐developed curricular materials and lesson plans integrating CT in CR ways. …”
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