Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents by LI Jiayu, WANG Jianjun, LIU Yanchao, LIU Jie, LI Hao, JIANG Junjie, TENG Jialun

“…Additionally, a strategy for selecting critical safety constraints based on an iterative method is introduced, enhancing solution efficiency by focusing solely on crucial safety constraints in the optimization model to satisfy all feasible power flows. …”
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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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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…<h4>Availability</h4>An open source, platform-independent implementation of the method in the Julia programming language is freely available at https://github.com/dkoslicki/ARK. …”
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A neural dynamics model prediction-based adaptive control system for AUV formation control by Jiwen ZHANG, Bo XU, Chuyan WANG, Zhaoyang WANG

“…Active and inhibitory sources are created to solve the local optimization problem of potential field methods. …”
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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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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ObjectiveThis study aims to develop a robust and generalizable deep learning framework for detecting misinformation related to the prolonged impacts of COVID-19 by integrating pretrained language models (PLMs) with an innovative fuzzy rank-based ensemble approach. MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. …”
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LIO-GC: LiDAR Inertial Odometry with Adaptive Ground Constraints by Wenwen Tian, Juefei Wang, Puwei Yang, Wen Xiao, Sisi Zlatanova

“…By optimizing laser range factors, ground feature constraints, and loop closure factors using graph optimization frameworks, our method surpasses current approaches, demonstrating superior performance through evaluation on open-source and newly collected datasets.…”
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Biodecaffeination by Pseudomonas pseudoalcaligenes TPS8, an Isolated Strain from Tea Plantation Soil by morahem Ashengroph, Sajad Ababaf

“…Thirteen bacterial strains, isolated from tea plantation soils in the north region of Iran, were screened to show their abilities in using caffeine as the sole source of carbon and nitrogen. The intrinsic tolerance of the isolated strains to the caffeine substrate was measured in a defined and complex medium by using the agar dilution method. …”
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Regenerative Braking in PV-Mounted Electric Vehicle With Reduced Switch VSI-Driven BLDC Motor and HAP-FUP Controller by Ron Carter S. B., Thangavel S.

“…Maximum energy is extracted from the PV module via employment of a particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm, while propulsion is provided through utilization of a brushless direct current (BLDC) motor driven by reduced switch voltage source inverter (VSI). …”
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DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM by Yuanyuan Sun, Ting Zhou

“…Carefully crafted structured prompts are used to align emotion semantics with dataset annotations, combined with Low-Rank Adaptation (LoRA) for parameter-efficient optimization. The method achieves a state-of-the-art weighted F1-score of 68.57% on the MELD benchmark. …”
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Unsupervised SAR Fine-Grained Ship Classification via Spherical Metric Refinement With Deep Subdomain Adaptation by Zhichao Han, Haitao Lang

“…Unsupervised domain adaptation (UDA) is a promising method for addressing the problem of SAR fine-grained ship classification in target domain with no labeled data available by leveraging a large number of labeled samples from source domains. …”
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The Influence of Activity-Based Costing and Just-in-Time on Efficiency Cost Production with Company Size as a Moderation Variable by Fri Medistya Anke Priyono

“…In competition, an increasingly growing industry, strict efficiency cost production has become important in increasing the Power competitiveness and profitability of companies. The ABC method is used for allocate cost based on actual activity​ consume source power, while JIT focuses on reducing waste and optimization production through management proper stock​ time.  …”
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Redesigning CMOS VLSI using Yosys synthesis tool by D. I. Cheremisinov, L. D. Cheremisinova

“…The goal of the work is to develop an approach to redesigning circuits using open source design automation software packages.Methods. …”
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Construction of ecological security pattern of Jiangnan water town considering water-related ecosystem services: a case study of Yuecheng District, Shaoxing by Meizi Zhou, Yong He, Yonghua Li, Jialei Wang, Song Yao

“…The results indicated that (1) 25 ecological sources were identified, mainly distributed in the central canal water network area and the southern mountainous area; (2) we extracted 51 ecological corridors, with 44 of these being blue ecological corridors overlapping with rivers; (3) we developed a spatial optimization scheme known as “two belts, one circle and three zones” based on the ESP. …”
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Enhanced heat transfer and flow control in Oldroyd-B hybrid nanofluids: A study on electro-osmosis effects and thermal characteristics by Alugunuri Raghu, Mahesh Garvandha, Nagaraju Gajjela, Adigoppula Raju

“…We analyse the impacts of a variable heat source, thermal radiation, and stratification using the Cattaneo–Christov method. …”
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AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models by Xukuan Xu, Donghui Li, Jinghou Bi, Michael Moeckel

“…Abstract Design of experiments (DOE) is an established method to allocate resources for efficient parameter space exploration. …”
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