Design and Finite Element Analysis of Brake Disc Heat Dissipation Rib for Urban Rail Transit Vehicle by WU Na, SONG Hao, YANG Jianwei, WU Chunguang, WANG Chengxu

“…[Result & Conclusion] Both the design schemes of the wheel-mounted straight-plate heat dissipation ribs and the axle-mounted cylindrical heat dissipation ribs significantly optimize the heat dissipation paths, improving the transfer efficiency of heat from the heat source to the external cooling medium. …”
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A Semianalytical Approach for Production of Oil from Bottom Water Drive Tight Oil Reservoirs with Complex Hydraulic Fractures by Shuhui Dai, Chunqiang Chen, Hao Wang, Zhaohui Fu, Dameng Liu

“…Based on the fractal theory, a semianalytical model is presented to simulate a complex fracture system by using the volumetric source method and superposition principle, and the solutions are determined iteratively. …”
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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Our method presented can be used as an auxiliary tool for reduction pipeline optimization and improving source measurements, and it deserves wide applications in similar tasks.…”
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Analysis and Calculation of Energy Storage Configuration in Power System by Yu DONG, Gaofeng FAN, Cun DONG, Ruoying YU, Junyi ZHAO

“…Starting from the overall operation demand of the power system, this paper summarized three key factors that should be considered for the energy storage configuration: the source-grid-load development, the replacement effect of energy storage on conventional units, and the comprehensive optimization of energy storage charging/discharging strategies. …”
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Real-Time LiDAR–Inertial Simultaneous Localization and Mesh Reconstruction by Yunqi Cheng, Meng Xu, Kezhi Wang, Zonghai Chen, Jikai Wang

“…Firstly, to reduce the odometry drift errors we use scan-to-map matching, and inter-frame inertial information is used to generate prior relative pose estimation for later LiDAR-dominated optimization. Then, based on the motivation that the unevenly distributed residual terms tend to degrade the nonlinear optimizer, a novel residual density-driven Gauss–Newton method is proposed to obtain the optimal pose estimation. …”
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Thermal Degradation of β-Carotene from Macauba Palm: Mathematical Modeling and Parameter Estimation by Pedro Prates Valério, Amanda Lemette Brandão, Jesus Maria Frias Celayeta, Erika Cristina Cren

“…The kinetic parameters from both models were estimated through a hybrid optimisation method using the Particle Swarm Optimization and the Gauss-Newton method, followed by statistical analyses. …”
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Transductive Radar Clutter Segmentation Network for Ionospheric Inhomogeneity Clutter Suppression by Yuanbiao Li, Lei Yu, Yinsheng Wei

“…A deep unfolding approach maps the iterative optimization procedure onto a neural network, jointly optimizing across multiple traditional clutter suppression methods. …”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…ParticleHolography.jl is an open-source Julia package designed for particle measurements using in-line holography. …”
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Production of subtilisin proteases in bacteria and yeast by A. S. Rozanov, S. V. Shekhovtsov, N. V. Bogacheva, E. G. Pershina, A. V. Ryapolova, D. S. Bytyak, S. E. Peltek

“…Details are provided on the methods for expression optimization of industrial subtilases of various strains: the details of the most important parameters of cultivation, i. e., composition of the media, culture duration, and the inf luence of temperature and pH. …”
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AMMap tool for additive manufacturing design, alloy discovery, and path planning by Alexander M Richter, Adam M Krajewski, Zhening Yang, Allison M Beese, Zi-Kui Liu

“…To define and navigate the high order chemical systems of CCMs/FGMs, the open-source tool, AMMap, has been developed utilizing open models and CALPHAD methods for thermodynamic computation. …”
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Enhancing medical AI with retrieval-augmented generation: A mini narrative review by Omid Kohandel Gargari, Gholamreza Habibi

“…Retrieval-augmented generation (RAG) is a powerful technique in artificial intelligence (AI) and machine learning that enhances the capabilities of large language models (LLMs) by integrating external data sources, allowing for more accurate, contextually relevant responses. …”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…Microgrids (MGs) often integrate various energy sources to enhance system reliability, including intermittent methods, such as solar panels and wind turbines. …”
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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…Addressing these issues through algorithm optimization, parallel processing, and the integration of additional data sources such as multispectral or LiDAR data could enhance its scalability and robustness. …”
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Analysis of Landscape Fragmentation Evolution Characteristics and Driving Factors in the Wei River Basin, China by Changzheng Gao, Qisen Dang, Chu Li, Yongming Fan

“…The edge density index (ED), the landscape division index (DIVISION), the landscape shape index (LSI), and the Shannon diversity index (SHDI) have increased annually, while the contagion index (CONTAG) and area-weighted mean patch size (Area_AM) have continuously decreased; (2) Landscape fragmentation in the Wei River basin is characterized by stable changes in the source and tributary fragmentation areas, a concentrated distribution of fragmentation in the tributaries, and a significant increase in fragmentation in the main stream; (3) The analysis using the geographic detector method indicates that vegetation coverage (FVC), human activity intensity (HAI), and land use/land cover change (LUCC) are the main driving factors of landscape fragmentation in the Wei River basin. …”
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Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach by Ting Ni, Xiaohong Zhang, Peng Leng, Mark Pelling, Jiuping Xu

“…Abstract The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. …”
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An overview of ahead geological detection technologies in tunnels by Dingchao Chen, Xiangyu Wang, Jianbiao Bai, Yuan Chu, Xian Wang, Jiaxin Zhao, Menglong Li

“…This paper underscores the need for multi-source, cooperative detection approaches and transparent geological models to improve the safety and efficiency of tunneling operations, ultimately contributing to the optimization of tunnel design and construction strategies.…”
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Microwave-Assisted Valorization of Tomato Pomace for Pectin Recovery: Improving Yields and Environmental Footprint by Nikolina Golub, Emerik Galić, Kristina Radić, Nada Smigic, Ilija Djekić, Sandra Pedisić, Dubravka Vitali Čepo

“…The response surface methodology was used to model the optimization process. The physico-chemical properties of pectin were determined using titrimetric methods and FTIR spectroscopy. …”
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Sectoral interactions and primary drivers in integrated CLEWs modeling: insights from Kenya by Roberto Heredia-Fonseca, Pietro Lubello, Francesco Gardumi, Will Usher

“…Using the Morris screening method, the analysis emphasizes the key role of discount rates—both global and technology- specific—influencing the energy sector, biomass use for cooking, renewable energy sources penetration, and forest land cover. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. …”
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Simulation and Numerical Analysis of Energy-and-Ecological Compatibility of Indoor Plant Lighting by S. A. Rakutko, E. N. Rakutko

“…The technique includes an analysis of the energy conversion effi ciency at various stages in the blocks of the artifi cial bioenergy system of indoor plant lighting (ABES): a source of electrical power; a radiation source; an optical part; spatial fl ow distribution; surface fl ow distribution; and a plant. …”
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