Co-Creating OERs in Computer Science Education to Foster Intrinsic Motivation by Lezeth van der Walt, Chantelle Bosch

“…Interpretative Phenomenological Analysis revealed five core themes: ownership and confidence, personal growth and SDL development, collaboration and connection, motivation and engagement, and challenges and problem solving. …”
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Synergizing DeepSeek's artificial intelligence innovations with brain–computer interfaces by Canbiao Wu, Nayu Chen, Tuo Sun, Ping Tan, Peng Wang, Guangli Li

“…Finally, we offer recommendations for interdisciplinary collaboration, regulatory improvements, and equitable technology dissemination to foster the sustainable development of AI–BCI technology.…”
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AI-driven design: powered by large language model and intelligent computation by Guodong Sa, Zhinan Li, Zhenyu Liu, Jianrong Tan

“…This approach achieves deep integration of large models with manufacturing domain knowledge, seamless fusion of AI with Computer-Aided Design/Computer-Aided Engineering (CAD/CAE) systems, and comprehensive synthesis of physics-based mechanisms with data-driven methods, driving the evolution of intelligent design from human-dominated iterative processes toward autonomous collaborative innovation systems, thereby providing robust support for technological breakthroughs in precision and extreme manufacturing equipment while facilitating the intelligent transformation of the manufacturing industry.…”
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Biophysical and computational insights from modeling human cortical pyramidal neurons by Sapir Shapira, Ido Aizenbud, Daniela Yoeli, Yoni Leibner, Huibert D. Mansvelder, Christiaan P. J. de Kock, Michael London, Michael London, Idan Segev, Idan Segev

“…These capabilities likely arise, in part, from the distinct properties of human neurons, which have only recently been elucidated through collaborative efforts among neurosurgeons, experimental, and theoretical neuroscientists. …”
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Selected Topics on Business Informatics: Editorial Introduction to Issue 13 of CSIMQ by Jelena Zdravkovic, Óscar Pastor, Peri Loucopoulos

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Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows. by Ariel Deardorff

“…<h4>Introduction</h4>As biomedical research becomes more data-intensive, computational reproducibility is a growing area of importance. …”
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A Preliminary Exploration on the Terminology and Standard System for Computing Power-Electricity-Heat Synergy by WANG Yongzhen, HAN Yibo, GUO Kai, HAN Kai, HAN Te, FAN Junqiu

“…[Methods] This study analyzes the current research and development status of computing power-electricity-heat collaborative systems in data centers. …”
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A secure and trustworthy blockchain-assisted edge computing architecture for industrial internet of things by Sasikumar Asaithambi, Senthilkumar Nallusamy, Jing Yang, Sunil Prajapat, Gyanendra Kumar, Pramod Singh Rathore

“…For automation in industry, optimization, collaboration and protection, and scalability, the IoTs paradigm, technology for communication and information, and intelligent systems are integrated as a single organism. …”
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Inter-Satellite Cooperative Computing Scheme Driven by Business Graph in LEO Satellite Network by Xiaobo GUO, Zhiyuan REN, Wenchi CHENG, Zhe JI

“…Low earth orbit-satellite network (LEO-SN) has the advantages of wide coverage and short satellite-to-earth link, and has become a current hot research fi eld.A business graph-driven inter-satellite collaborative computing method in LEO-SN was proposed to solve the problem of high transmission delay when the task was offl oaded to the cloud computing center.This method shielded the dynamics of LEO-SN by relying on the weighted time expansion graph model, combined multiple satellite computing resources, and dispatches tasks in the form of a directed acyclic graph to the satellites in the transmission path, thereby realizing the ＆quot;computing while transmitting” of user services in the satellite cluster.The simulation results showed that when the data volume was 5 MB, the latency performance of on-orbit collaborative computing was improved by 58.9% compared to ground cloud computing.…”
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Quantum computing empowering blockchain technology with post quantum resistant cryptography for multimedia data privacy preservation in cloud-enabled public auditing platforms by Abdullah Ayub Khan, Asif Ali Laghari, Hamad Almansour, Leila Jamel, Fahima Hajjej, Vania V. Estrela, Mohamad Afendee Mohamed, Sajid Ullah

“…This paper proposes a novel and secure framework that collaborates BDLT with quantum-resilient, mainly known post-quantum cryptographic schemes to ensure long-term data integrity and privacy preservation in cloud-based infrastructures. …”
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In-material physical computing based on reconfigurable microwire arrays via halide-ion segregation by Dengji Li, Pengshan Xie, Yuekun Yang, Yunfan Wang, Changyong Lan, Yiyang Wei, Jiachi Liao, Bowen Li, Zenghui Wu, Quan Quan, Yuxuan Zhang, You Meng, Mingqi Ding, Yan Yan, Yi Shen, Weijun Wang, Sai-Wing Tsang, Shi-Jun Liang, Feng Miao, Johnny C. Ho

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Cloud Computing for Improving Work Efficiency at the Belibi Village Government Office in the Era of Transformation by Kurniasih Mika, Ocky Sundari Rahardjo

“…The findings show that although cloud computing offers significant benefits such as efficient data storage and online collaboration, its implementation is still hindered by weak digital infrastructure, low technological literacy among staff, and the absence of formal training. …”
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Cloud-based intelligent computing center ten-thousand card cluster innovation and practice by DING Hongqing, ZHANG Pengfei, NIU Hongweihua, LI Zhiyong, ZHOU Danyuan, DING Guoqiang, LI Panpan, LI Daotong, ZHANG Jiuxian

“…To address issues such as low availability of computing power in ultra-large scale computing clusters of intelligent computing centers, low maturity of domestically produced technologies, bottlenecks in large-scale networking efficiency, and complex operations and maintenance, a system based on cloud computing technology for constructing a ten-thousand card cluster in an intelligent computing center was proposed. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Data isolation across different healthcare institutions hinders cross-institutional collaboration in clinics and research. In this work, we anticipate an innovative MRI system and its four generations that integrate emerging distributed cloud computing, 6G bandwidth, edge computing, federated learning, and blockchain technology. …”
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QSA-QConvLSTM: A Quantum Computing-Based Approach for Spatiotemporal Sequence Prediction by Wenbin Yu, Zongyuan Chen, Chengjun Zhang, Yadang Chen

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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…The purpose of this study is to analyze the learning outcomes and educational implications of introducing a new Problem-Based Learning project approach in a computing course for non-major students. The Problem-Based Learning project approach, designed by the research team, provides a teaching and learning strategy in which students collaborate to analyze and extend code within real-world problem contexts while systematically exchanging feedback. …”
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Optimizing Internet of Things Services Placement in Fog Computing Using Hybrid Recommendation System by Hanen Ben Rjeb, Layth Sliman, Hela Zorgati, Raoudha Ben Djemaa, Amine Dhraief

“…Fog Computing extends Cloud computing capabilities by providing computational resources closer to end users. …”
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Perception of premium services based on the evolution of hyper-service network in mobile edge computing by Xiaojun Zhang, Zhizhong Liu, Dianhui Chu, Meiyue Zhao

“…Abstract Recently, massive services from multiple domains are available on the network with the rapid development of Mobile Edge Computing (MEC) technology. These various services construct a service network through services’ collaboration, which can provide users with rich resources at anytime and anywhere. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…Furthermore, the study presents a multi-tier federated edge learning architecture that integrates cloud collaboration with edge servers to manage the increasing number of industrial devices and the demand for timely local model training. …”
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Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises by Xueli Yin, Xuguang Zhang, Luyao Pei, Rong Hu, Kaihui Ye, Kangkang Cai

“…It responds to the current lack of systematic optimization mechanisms and evaluation methods in existing cloud computing applications. The proposed model focuses on resource scheduling optimization, task load balancing, and improvements in computational efficiency. …”
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