Design of OpenFOAM mesh generation client software based on C/S architecture by Zhang Zhida, Huai Xiaoyong, Gao Ruochen

“…The client remotely invokes the OpenFOAM mesh generation computing service on the cloud through the mesh generation protocol, and builds a user interaction interface according to the service interface specification, realizing cloud collaboration mesh calculation function. …”
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Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment by Yuhao Xiao, Yping Yao, Feng Zhu

“…Cloud computing provides considerable amounts of cheap and convenient computing resources, thus providing efficient support for multi-sample simulation tasks. …”
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Applicability of IT Systems in Business in the Context of the Digitalization of Economic Processes by Ioana Lazarescu, Gabriela Gheorghe, Alexandrina Brinza

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SpanTrain: a cross-domain distributed model training system for cloud-edge-end heterogeneous devices by WANG Jinquan, LIU Xuzhao, LIAO Xiaojian, XIAO Limin, HUO Zhisheng, SUO Jiashun, LI Yuntong, SHEN Runnan, XIE Xilong, TANG Xicheng

“…Currently, in addition to cloud computing centers, the edge and end environments represented by the internet of things, fixed or mobile computing edges are also filled with a large number of intelligent computing devices. …”
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COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms by Marek Ostaszewski, Anna Niarakis, Alexander Mazein, Inna Kuperstein, Robert Phair, Aurelio Orta‐Resendiz, Vidisha Singh, Sara Sadat Aghamiri, Marcio Luis Acencio, Enrico Glaab, Andreas Ruepp, Gisela Fobo, Corinna Montrone, Barbara Brauner, Goar Frishman, Luis Cristóbal Monraz Gómez, Julia Somers, Matti Hoch, Shailendra Kumar Gupta, Julia Scheel, Hanna Borlinghaus, Tobias Czauderna, Falk Schreiber, Arnau Montagud, Miguel Ponce de Leon, Akira Funahashi, Yusuke Hiki, Noriko Hiroi, Takahiro G Yamada, Andreas Dräger, Alina Renz, Muhammad Naveez, Zsolt Bocskei, Francesco Messina, Daniela Börnigen, Liam Fergusson, Marta Conti, Marius Rameil, Vanessa Nakonecnij, Jakob Vanhoefer, Leonard Schmiester, Muying Wang, Emily E Ackerman, Jason E Shoemaker, Jeremy Zucker, Kristie Oxford, Jeremy Teuton, Ebru Kocakaya, Gökçe Yağmur Summak, Kristina Hanspers, Martina Kutmon, Susan Coort, Lars Eijssen, Friederike Ehrhart, Devasahayam Arokia Balaya Rex, Denise Slenter, Marvin Martens, Nhung Pham, Robin Haw, Bijay Jassal, Lisa Matthews, Marija Orlic‐Milacic, Andrea Senff-Ribeiro, Karen Rothfels, Veronica Shamovsky, Ralf Stephan, Cristoffer Sevilla, Thawfeek Varusai, Jean‐Marie Ravel, Rupsha Fraser, Vera Ortseifen, Silvia Marchesi, Piotr Gawron, Ewa Smula, Laurent Heirendt, Venkata Satagopam, Guanming Wu, Anders Riutta, Martin Golebiewski, Stuart Owen, Carole Goble, Xiaoming Hu, Rupert W Overall, Dieter Maier, Angela Bauch, Benjamin M Gyori, John A Bachman, Carlos Vega, Valentin Grouès, Miguel Vazquez, Pablo Porras, Luana Licata, Marta Iannuccelli, Francesca Sacco, Anastasia Nesterova, Anton Yuryev, Anita de Waard, Denes Turei, Augustin Luna, Ozgun Babur, Sylvain Soliman, Alberto Valdeolivas, Marina Esteban‐Medina, Maria Peña‐Chilet, Kinza Rian, Tomáš Helikar, Bhanwar Lal Puniya, Dezso Modos, Agatha Treveil, Marton Olbei, Bertrand De Meulder, Stephane Ballereau, Aurélien Dugourd, Aurélien Naldi, Vincent Noël, Laurence Calzone, Chris Sander, Emek Demir, Tamas Korcsmaros, Tom C Freeman, Franck Augé, Jacques S Beckmann, Jan Hasenauer, Olaf Wolkenhauer, Egon L Willighagen, Alexander R Pico, Chris T Evelo, Marc E Gillespie, Lincoln D Stein, Henning Hermjakob, Peter D'Eustachio, Julio Saez‐Rodriguez, Joaquin Dopazo, Alfonso Valencia, Hiroaki Kitano, Emmanuel Barillot, Charles Auffray, Rudi Balling, Reinhard Schneider, the COVID‐19 Disease Map Community

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Versatile optoelectronic memristor based on wide-bandgap Ga2O3 for artificial synapses and neuromorphic computing by Dongsheng Cui, Mengjiao Pei, Zhenhua Lin, Hong Zhang, Mengyang Kang, Yifei Wang, Xiangxiang Gao, Jie Su, Jinshui Miao, Yun Li, Jincheng Zhang, Yue Hao, Jingjing Chang

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Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing by Shu Xu, Qingjie Liu, Chengye Gong, Xupeng Wen

“…The framework enables collaborative decision making among multiple UAVs to efficiently serve sparsely distributed ground mobile devices (MDs) and establish an integrated mobility, communication, and computational offloading model, which formulates a joint optimization problem aimed at minimizing the weighted sum of task processing latency and UAV energy consumption. …”
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Survey of federated learning research by Chuanxin ZHOU, Yi SUN, Degang WANG, Huawei GE

“…Federated learning has rapidly become a research hotspot in the field of security machine learning in recent years because it can train the global optimal model collaboratively without the need for multiple data source aggregation.Firstly, the federated learning framework, algorithm principle and classification were summarized.Then, the main threats and challenges it faced, were analysed indepth the comparative analysis of typical research programs in the three directions of communication efficiency, privacy and security, trust and incentive mechanism was focused on, and their advantages and disadvantages were pointed out.Finally, Combined with application of edge computing, blockchain, 5G and other emerging technologies to federated learning, its future development prospects and research hotspots was prospected.…”
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IMPACT OF CELEBRITY STATEMENTS ON INTERNET SEARCHES ON THE USE OF SEMAGLUTIDE FOR WEIGHT LOSS by S. PROVENZANO, O.E. SANTANGELO2,3

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Cloud PricingOps: A Decision Support Framework to Explore Pricing Policies of Cloud Services by George Fragiadakis, Anargyros Tsadimas, Evangelia Filiopoulou, George Kousiouris, Christos Michalakelis, Mara Nikolaidou

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MatSwarm: trusted swarm transfer learning driven materials computation for secure big data sharing by Ran Wang, Cheng Xu, Shuhao Zhang, Fangwen Ye, Yusen Tang, Sisui Tang, Hangning Zhang, Wendi Du, Xiaotong Zhang

“…Additionally, the heterogeneous and non-independent and identically distributed (non-i.i.d.) nature of material data hinders model accuracy and generalization in collaborative computing. In this paper, we introduce the MatSwarm framework, built on swarm learning, which integrates federated learning with blockchain technology. …”
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Underlying-event studies with strange hadrons in pp collisions at $$\sqrt{s} = 13$$ s = 13 TeV with the ATLAS detector by ATLAS Collaboration

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Introduction to the usage of open data from the Large Hadron Collider for computer scientists in the context of machine learning by Timo Saala, Matthias Schott

“…To effectively leverage the latest developments in computer science for particle physics, a strengthened collaboration between computer scientists and physicists is essential. …”
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Multi-Agent Reinforcement Learning-Based Computation Offloading for Unmanned Aerial Vehicle Post-Disaster Rescue by Lixing Wang, Huirong Jiao

“…It enables collaboration among edge devices through the design of the ’critic’ network. …”
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Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study by Zhai Liu, Yongjun Li, Chenguang Zhang, Hui Xu, Junlu Zhao, Chencui Huang, Xingzhi Chen, Qingyun Ren

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Increasing Commuter Students’ Sense of Belonging with Situated Learning in a First-year Computer Programming Course by Lily Liang, Rui Kang

“…This study examines the impact of a situated learning class framework on student learning and sense of belonging in a first-year introductory computer programming course offered at an urban commuter campus. …”
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A Study on the Construction of Translation Curriculum System for English Majors from the Perspective of Human-Computer Interaction by Qi Li

“…This paper proposes a collaborative human-computer interaction recommendation model for English major translation courses to address the problems of poor course recommendation and lack of robustness to noisy data in traditional recommendation models for English major translation courses. …”
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Development of basic reading skills in Latin: a corpus-based tool for computer-assisted fluency training by Milena Kuehnast, Konstantin Schulz, Anke Lüdeling

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Risk Analysis of Fuel Leakage and Explosion in LNG-Powered Ship Cabin Based on Computational Fluid Dynamics by Yuechao Zhao, Yubo Li, Weijie Li, Yuan Gao, Qifei Wang, Dihao Ai

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Misdiagnosis of sacroiliac joint gout as ankylosing spondylitis: Solving the diagnostic dilemma with dual-energy computed tomography by Jia-jie Tu, Jian-xiong Wang, Sheng-qian Xu

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