Traditional medicine use among rabies exposed individuals in Ethiopia: A systematic review and meta-analysis. by Gizew Dessie Asres, Yeshiwork Kebede Gessesse, Desalew Salew, Negese Sewagegn Semie, Etsegenet Kindie, Molalign Tarekegn Minwagaw, Wudu Tafere, Zewudu Belay, Habtamu Alebachew, Getasew Mulat Bantie, Taye Zeru

“…Successful prevention and control of rabies requires the collaboration of important stakeholders with the One Health approach. …”
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Efficient Post-Quantum Cross-Silo Federated Learning Based on Key Homomorphic Pseudo-Random Function by Xiaoyuan Qin, Rui Xu

“…Federated Learning (FL) enables collaborative model training across distributed users, while preserving data privacy by only sharing model updates. …”
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Digitally deployed, GP remote consultation video intervention that aims to reduce opioid prescribing in primary care: protocol for a mixed-methods evaluation by Nick Hex, Christopher Price, Yu Fu, Ben Allen, Tracy Finch, Denis Martin, Cormac G Ryan, Alan M Batterham, Niki Jones, Ewan Maule

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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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Quality Control Automation for Student Driven Digitization Workflows by Corinne Chatnik, James Gaskell

“…Many of these errors are difficult to catch during quality control checks because they are so minute, such as a missed counted page number here, or a transposed character in a filename there. So, a Computer Science student and a librarian collaborated to create a quality control automation application for the digitization workflow. …”
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A Survey on Mitigation of Cache Pollution Attacks in NDN by Najam U Saqib, Sani Isnain

“…This paper reviews several mitigation techniques for these attacks, grouping them into proactive, reactive, and collaborative approaches. Each strategy is assessed based on its scalability, detection accuracy, and overall impact on network performance. …”
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Mapping the future: bibliometric insights into ferroptosis and diabetic nephropathy by Tangwen Wei, Yang Qin, Xiaohui Lin, Xiujuan Wang, Suyi Chen, Xia Chen, Nan Yan, Xinyi Wei, Zhichang Zhang, Bing Wei

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Il Sistema Traduco nel Progetto Traduzione del Talmud Babilonese by Andrea Bellandi, Giulia Benotto, Davide Albanesi, Emiliano Giovannetti

“…In the context of the Babylonian Talmud Translation Project, the Institute of Computational Linguistics of the CNR has developed Traduco, a collaborative web tool with some features that make it particularly suitable for translating texts that present interpretative problems. …”
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Data Collection System of IoT Based on the Coordination of Drones and Unmanned Surface Vehicle by Zhigang Wang, Liqin Tian, Lianhai Lin, Jianfei Xie, Wenxing Wu, Yinghua Tong

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Low Complexity Mode Decision for 3D-HEVC by Qiuwen Zhang, Nana Li, Yong Gan

“…High efficiency video coding- (HEVC-) based 3D video coding (3D-HEVC) developed by joint collaborative team on 3D video coding (JCT-3V) for multiview video and depth map is an extension of HEVC standard. …”
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The ACP and LLM-based framework for criminology: a review and prospect by LIU Jiaxi, WANG Xingxia, FAN Lili, HUANG Jun, ZHANG Ning, MENG Qingzhen

“…Given the challenges in practical applications, interdisciplinary collaboration and technological innovation are necessary to further advance criminological studies and improve crime prevention effectiveness.…”
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The ACP and LLM-based framework for criminology: a review and prospect by LIU Jiaxi, WANG Xingxia, FAN Lili, HUANG Jun, ZHANG Ning, MENG Qingzhen

“…Given the challenges in practical applications, interdisciplinary collaboration and technological innovation are necessary to further advance criminological studies and improve crime prevention effectiveness.…”
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A Simple and Efficient Local Search Algorithm for the Machine Reassignment Problem by Darío Canales, María-Cristina Riff, Elizabeth Montero

“…Considering a computational service as a set of processes, several issues can impact its performance, such as failures and shutdowns. …”
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A network topology method for cluster communication based on wolf pack algorithm by LI Xuesi, WU Zheping, SHI Haobin, JI Qingbing

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Performance of single-agent and multi-agent language models in Spanish language medical competency exams by Fernando R. Altermatt, Andres Neyem, Nicolas Sumonte, Marcelo Mendoza, Ignacio Villagran, Hector J. Lacassie

“…Notably, several exam questions were correctly answered using simpler single-agent strategies without employing complex reasoning or collaboration frameworks. Conclusions and relevance Multi-agent strategies, particularly MDAGENTS, significantly enhance GPT-4o’s performance on Spanish-language medical exams, leveraging collaboration to improve diagnostic accuracy. …”
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Teaching Statistics for the Social Sciences Using Active Learning: A Case Study by Daniel Douglas

“…Active learning, a pedagogical approach that places emphasis on students’ collaborative work, has been shown to increase student learning and course success in STEM fields of study and in mathematics courses. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

“…This paper first designs the overall framework of the active light source system, detailing the functions of each module and their collaborative working principles. Furthermore, optimization experiments are conducted on the variable active light source module. …”
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Baseline Findings of an HIV Incidence Cohort Study to Prepare for Future HIV Prevention Clinical Trials in Kisumu, Kenya by Wairimu Chege, Sherri L Pals, Eleanor McLellan-Lemal, Sanjyot Shinde, Monicah Nyambura, Frederick O Otieno, Deborah A Gust, Robert T Chen, Timothy Thomas

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Modelling the impact of rapid diagnostic tests on Plasmodium vivax malaria in South Korea: a cost–benefit analysis by Jun Yong Choi, Jung Ho Kim, Jiyeon Suh, Woon Ji Lee, Heun Choi, Jong-Dae Kim, Changsoo Kim, Ryeojin Ko, Heewon Kim, Jeehyun Lee, Joon Sup Yeom

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