AsymGroup: Asymmetric Grouping and Communication Optimization for 2D Tensor Parallelism in LLM Inference by Ki Tae Kim, Seok-Ju Im, Eui-Young Chung

“…In addition, we introduce a formal communication cost model to accurately quantify bottlenecks and a group optimization algorithm to systematically determine efficient group configurations. …”
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Key Role and Optimization Dispatch Research of Technical Virtual Power Plants in the New Energy Era by Weigang Jin, Peihua Wang, Jiaxin Yuan

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Enhanced Network Traffic Classification Using Bayesian-Optimized Logistic Regression and Random Forest Algorithm by Manisankar Sannigrahi, R. Thandeeswaran

“…It examines the performance of a logistic regression model enhanced by Bayesian optimization for detecting TOR traffic using the UNB-CIC TOR-NonTOR datasets and a Bayesian-optimized random forest model for the CIC-Darknet2020 dataset. …”
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Multi-Objective Optimization Design of Foamed Cement Mix Proportion Based on Response Surface Methodology by Kailu Liu, Wanying Qu, Haoyang Zeng

“…This study provides support for the practical application of foam cement as a thermal insulation material in construction projects and offers guidance for optimizing its mixture composition.…”
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Octopus-Inspired Biomimetic Annular Sealing Grooves: Design and Performance Optimization Under Extreme Conditions by Zhipeng Pan, Shijun Xu, Xiang Guan, Zhihong Wang, Zhenghai Qi, Xiangrui Ye, Jianyang Dong, Yongming Yao, Zhengzhi Mu

“…Results show that the optimized bionic6 configuration (seven grooves, 0.4 mm width, 0.4 mm depth) achieved a 21.71% improvement in average von Mises stress compared to the original design, demonstrating enhanced leakage resistance. …”
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Influence and Optimization of Landscape Elements on Outdoor Thermal Comfort in University Plazas in Severely Cold Regions by Zhiyi Tao, Guoqiang Xu, Guo Li, Xiaochen Zhao, Zhaokui Gao, Xin Shen

“…This study is the first to construct outdoor thermal sensation categories for both summer and winter in Hohhot and to establish a thermal comfort optimization evaluation mechanism that considers both diurnal and seasonal weightings. …”
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Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

“…Underground coal mines face increasing challenges in the scheduling of Electric Rubber-Tired Vehicles (ERTVs) due to confined spaces, dynamic production demands, and the need to coordinate multiple constraints such as complex roadway topologies, strict time windows, and limited charging resources in the context of clean energy transitions. This study presents a Constraint Programming (CP)-based optimization framework that integrates Virtual Charging Station Mapping (VCSM) and sensor fusion positioning to decouple spatiotemporal charging conflicts and applies a dynamic topology adjustment algorithm to enhance computational efficiency. …”
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RESEARCH AND OPTIMIZATION OF THE INCLINATION ANGLE DIFFERENCE OF THE DIGGING SHOVEL SURFACE OF POTATO HARVESTER IN HILLY AREAS by Chunyan Kong, Qixin Wang, Yi Liao, Jie Xia, Yangyang Jin

“…In summary, rational optimization of blade angle design can improve harvest efficiency and crop integrity.…”
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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

“…At present, forest fire aviation emergency has been paid more attention in the world, however, current researches provide limited support to actual situation due to the lack of systematization and pertinently. In this paper, based on remote sensing information and other multi-party data, a two-stage multi-objective stochastic optimization model of sustainable aviation emergency network for forest fire rescue is presented. …”
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Optimizing cellulose acetate microbead formation through premixed membrane emulsification: Unraveling critical parameters by Jisoo Lee, Kie Yong Cho, Eun Hyup Kim, Hoik Lee

“…This study explores the fabrication of cellulose acetate microbeads using the premix membrane emulsification technique and their subsequent conversion to cellulose microbeads through deacetylation, emphasizing the need for environmentally friendly alternatives to conventional synthetic microbeads. By systematically investigating critical processing parameters such as oil-to-water phase ratio, cellulose acetate concentration, dispersion solvent, drying temperature, and flux rate, we optimized the conditions for producing uniform and well-dispersed microbeads. …”
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Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina by Ala’ Omar Hasan Zayed

“…These configurations were systematically generated by varying two critical parameters: box size (10 Å to 125 Å) and exhaustiveness (8 to 100). …”
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Multi-strategy cooperative enhancement dung beetle optimizer and its application in obstacle avoidance navigation by Xiaojie Tang, Zhengyang He, Chengfen Jia

“…This article introduces a novel approach called the multi-strategy cooperative enhanced dung beetle optimization algorithm (RCDBO) and applies it to dispose of path planning issues. …”
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Energy Consumption Analysis and Optimization of Substation Building in Cold Regions Considering Various Influence Factors by Wen Sun, Qi Zhang, Ou Zhang, Ruyu Zhang, Junru Lin, Heng Chen

“…By integrating energy consumption simulations with one-factor-at-a-time and orthogonal multivariate analyses, optimization strategies under key influencing factors are systematically explored. …”
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Weather Prediction for Strawberry Cultivation Using Double Exponential Smoothing and Golden Section Optimization Methods by Herlinah Herlinah, Billy Eden William Asrul, Hafsah HS, Muhammad Faisal, Swa Lee Lee, Hamdan Gani, Zhipeng Feng

“…This research began with the data collection stage through field observations, interviews, and literature studies. The design tool used a systematically organized UML, which included a use case diagram, then an activity diagram, as well as an elaboration into sequence diagrams, and class diagrams. …”
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Mineralization of Rhodamine B dye in water using dielectric barrier plasma jet with process optimization by Md. Mokter Hossain, Sehrish Asghar, Dinithi Mohotti, Towfeeq Robi, Sarah Wu

“…To address the persistent challenge of textile wastewater treatment, a non-thermal dielectric barrier discharge (DBD) plasma jet process was developed and optimized for the effective removal and mineralization of Rhodamine B dye from synthetic wastewater. …”
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Optimizing dsRNA sequences for RNAi in pest control and research with the dsRIP web platform by Doga Cedden, Gözde Güney, Michael Rostás, Gregor Bucher

“…Results Here, we systematically tested different siRNA sequences in the red flour beetle Tribolium castaneum to identify sequence features that correlated with high efficacy using pest control as a study case. …”
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Numerical Simulation and Optimization of Outdoor Wind Environment in High-Rise Buildings Zone of Xuzhou City by Huanhuan Fang, Xiang Ji, Jiuxin Wang, Jijun Lu, Mengcheng Yang, Jiajun Li, Zhongcheng Duan

“…Based on these findings, optimization strategies are formulated and validated through CFD simulations conducted on a representative high-rise settlement in Xuzhou. …”
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Halving Environmental Impacts of Diverse Crop Production in Fujian, China through Optimized Nitrogen Management by Jun Li, Minglei Wang, Wenjiao Shi, Xiaoli Shi

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Optimized workflow for paroxysmal atrial fibrillation ablation using very high power short duration by Lorenzo Gigli, Alberto Preda, Alessio Testoni, Alessio Testoni, Alessio Testoni, Alexios Sotirios Kotinas, Andrea Tacchetto, Fabrizio Guarracini, Marco Carbonaro, Sara Vargiu, Marisa Varrenti, Giulia Colombo, Roberto Menè, Matteo Baroni, Antonio Frontera, Patrizio Mazzone

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Chitosan oligosaccharide and Enteromorpha prolifera polysaccharides as additives affect the bacterial community and optimize the compost performance by Xingsheng Yin, Shutong Chen, Guangcai Shen, Guangfu Zhang, Guangyun Meng, Siman Gao, Hui Yao, Hui Yao, Xiangwei You, Xiangwei You, Yiqiang Li, Yiqiang Li

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