Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…In the realm of IoV, we propose OptiE2ERL, an advanced Reinforcement Learning (RL) based model designed to optimize energy efficiency and routing. Our model leverages a reward matrix and the Bellman equation to determine the optimal path from source to destination, effectively managing communication overhead. …”
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Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…【Objective】Effectively collecting sunlight and transmitting it through optical fibers to illuminate areas that require lighting can replace some traditional light sources. The fiber optic day lighting system is significantly affected by the angle of incident light and the coupling efficiency of incident light. …”
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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…TMBocelot enables precise and reliable delineation of TMB-positive thresholds, facilitating the implementation of immunotherapy. The source code for TMBocelot is publicly available at https://github.com/YixuanWang1120/TMBocelot.…”
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Efficiently optimized multi-fillers for rain gardens: Long-term pollution control performance by Tianyin Huang, Zhixin Wang, Yiming Nie, Hanhan Liu, Peirong Li, Jingjing Yang, Bingdang Wu

“…Long-term operational evaluation (>110 days) revealed that the optimized filler layer significantly improved the removal rates of COD, TN, and TP to 86.83%, 80.19%, and 88.42%, respectively. …”
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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…However, current research often faces certain challenges related to the feature selection of prediction indices and poor model optimization performance. This study compiled 342 rockburst cases from domestic and international sources to construct an initial database. …”
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Optimizing Sound Insulation Performance of Triple Glazing with Different Glass and Cavity Thickness Combinations by Honghu Zhang, Yan Wang, Xiaosheng Ji

“…The optimal combination was 8-12A-6-12A-4, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>R</mi><mi mathvariant="normal">w</mi></msub></semantics></math></inline-formula> reached 44 dB. …”
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Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…An accelerator neutron source target station for energy calibration using the time-of-flight (TOF) method was designed in this paper. …”
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Research on optimization technology of new pipeline design for regional natural gas pipeline network by Jingyi CUI, Kunfeng ZHU, Cuixian GAO, Li GU, Jing REN, Yuxing LI, Wuchang WANG

“…To meet future gas demand and enhance the efficiency of pipeline design, it is essential to review and analyze existing pipeline planning and design methods, as well as optimization algorithms. There is an urgent need to develop a set of design optimization methods suitable for complex pipeline network systems with multiple gas sources, numerous users, and aging pipeline infrastructures. …”
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Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…Furthermore, given the extensive use of nuclear energy in various sectors, shielding design must strike a balance between safety standards and considerations of compactness and lightweight design, as seen in marine nuclear power, land-based nuclear power sources, and space reactors. Thus, radiation shielding design for nuclear reactors poses a typical multi-objective combinatorial optimization challenge, involving various design objectives and parameters, including radiation dose rate, volume, weight, and more. …”

Optimization of the Treatment of Beer Lees for Their Use in Sustainable Biomass Production of Lactic Acid Bacteria by Natalia S. Brizuela, Marina E. Navarro, Gabriel Rivas, Gabriel Gómez, Carolina Pérez, Liliana Semorile, Emma E. Tymczyszyn, Bárbara Bravo-Ferrada

“…Therefore, the aim of this study was to optimize the use of BL as a low-cost alternative source of YE through different lysis treatments, evaluating its suitability to support the growth of UNQLpc 10 and UNQLp 11 strains in a whey permeate (WP)-based medium. …”
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Optimizing canopy-spacing configuration increases soybean yield under high planting density by Ruidong Li, Cailong Xu, Zongsheng Wu, Yifan Xu, Shi Sun, Wenwen Song, Cunxiang Wu

“…These findings suggest that suitable row spacing configurations optimize the light environment for plants, promote source-sink transformation in soybeans, and further improve yield. …”
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Analysis and optimization of heat dissipation of gas mainframe case based on field synergy principle by HUANG Zhiqiang, ZHANG Guoxu, WANG Zhiyong, WANG Shuo, WANG Cheng, LI Tao, YOU Zhengtao

“…Based on the principle of field synergy, the internal flow field, temperature field and heat dissipation performance of key equipments in the mainframe cabinet were analysed, and an optimized scheme for adding a flow-guiding device was proposed. …”
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Optimized Method to Generate Well-Characterized Macrophages from Induced Pluripotent Stem Cells by Qimin Hai, Peter Bazeley, Juying Han, Gregory Brubaker, Jennifer Powers, Claudia M. Diaz-Montero, Jonathan D. Smith

“…Human macrophages can be obtained via culturing peripheral blood monocytes; however, this source has limited yields and requires patient contact for each proposed use. …”
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Enhancing Port Energy Autonomy Through Hybrid Renewables and Optimized Energy Storage Management by Dimitrios Cholidis, Nikolaos Sifakis, Nikolaos Savvakis, George Tsinarakis, Avraam Kartalidis, George Arampatzis

“…The unique proposed EMS takes it a step further, optimizing not just the energy flow but also the cost, making the overall system more efficient—and less costly—for the user. …”
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Land Use Optimization and Simulation in the Dongjiang River Basin with a Low-Carbon Orientation by He Yanhu, Wu Luyan, Lin Zeyu

“…Land use is one of the main sources of carbon emissions, driven by numerous human economic and social activities. …”
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…In this study, a comprehensive investigation into the parameter fitting and acoustic performance optimization of porous materials is conducted, utilizing advanced physical models, multifluid impedance transfer theory, and particle swarm optimization algorithms. …”
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Optimizing energy flow in advanced microgrids: a prediction-independent two-stage hybrid system approach by Mohamad Javad Mohamadi, Mohammad Tolou Askari, Mahmoud Samiei Moghaddam, Vahid Ghods

“…Abstract This paper presents a two-stage optimization framework for long-term energy management in microgrids, aiming to efficiently integrate various energy sources, storage systems, and consumption elements while addressing uncertainties in load demand and renewable generation. …”
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Integrating optimal terrain representations from public DEMs using spaceborne LiDAR by Xingang Zhang, Shanchuan Guo, Haowei Mu, Bo Yuan, Zilong Xia, Xiaoquan Pan, Hong Fang, Pengfei Tang, Peijun Du

“…Due to differences in data sources and processing methods, the accuracy of Digital Elevation Models (DEMs) varies greatly in different regions, which poses challenges for users in data selection. …”
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Formative research to optimize pre-eclampsia risk-screening and prevention (PEARLS): study protocol by Nicole Minckas, Alim Swarray-Deen, Sue Fawcus, Rosa Chemwey Ndiema, Annie McDougall, Jennifer Scott, Samuel Antwi Oppong, Ayesha Osman, Alfred Onyango Osoti, Katherine Eddy, Mushi Matjila, George Nyakundi Gwako, Joshua P. Vogel, A. Metin A. Gülmezoglu, Adanna Uloaku Nwameme, Meghan A. Bohren, the PEARLS Trial collaborative group

“…Data will be analyzed using thematic analysis and triangulated across sources and participant groups. The findings will inform trial design and help optimize implementation. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…The majority of these images were sourced from the Agricultural Research Center of Isfahan Province in Iran, supplemented by contributions from researchers who had previously studied in this field. …”
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