A Three-Phase Linear Power Flow Calculation Method for Distribution Networks Considering PV Nodes by Kuan LIU, Chun WANG, Fagen YIN, Yujie CHEN, Huicheng WU

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Numerical Analysis of the Effect of the Rock Particle Size on the Macroscopic Mechanical Properties Under Uniaxial Compression and Shearing by Chaoyi Yang, Su Li, Xinglong Feng, Zhengrong Li, Xuran Ding, Hang Lin

“…When the distribution characteristics of rock particles are unknown, obtaining reasonable particle size parameters through trial-and-error methods is time-consuming. Therefore, identifying a set of particle size parameters that can accurately reflect the macro-mechanical properties of rock is crucial. …”
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Shaping a sustainable future: Assessing the response of Russian aluminum exports to the global clean energy transition by Shujaat Abbas, Monirul Islam, Irina Kalina, Oleg Mariev, Kazi Sohag

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Use-Case-Dependent Modeling Approach for Analysis of Distributed DC Grids by Melanie Lavery, Raffael Schwanninger, Martin Marz

“…These differences however fall within acceptable error margins, especially in the context of system stability analysis. …”
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High-Precision Flow Rate Measurement Based on Distributed Optical Fiber Acoustic Sensing by Keqing Zhang, Baoqiang Yan, Hao Li, Junliang Lin, Jie Wu, Zhijun Yan, Qizhen Sun

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A Novel Pressure Drop Model for Seabed Airlift Devices Considering the Particle Sinking Effect by H. Long, Z. N. Wang, X. W. Wang, C. T. Tran

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Study on the prediction model of corrosion and scaling in the external cooling water system of ultra-high voltage converter stations phase modulator by GU Xiantao, FAN Peipei, CHEN Xiaochun, GAO Yuxiang, ZHOU Zhongkang, ZHANG Junjie, MA Xiaowei, JI Qiaozhen, WU Yan, XU Yayan, DONG Haosheng, DUAN Zhongxin, YANG Lin, GAO Zhonghui

“…The mean absolute percentage error(MAPE) and the coefficient of determination(R²) were 7.53% and 0.985 respectively, indicating good fitting performance and generalization ability of the model.…”
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Does fiscal decentralization foster renewable electricity generation? A panel data study of OECD countries by Serhiy Lyeonov, Oksana Okhrimenko, Artem Artyukhov, Mariia Saiensus, Iuliia Myroshnychenko, Yuliia Yehorova, Oleksii Havrylenko

“…Utilizing a panel dataset of 34 countries spanning 2000–2023, the analysis employs a fixed-effects regression model with Driscoll-Kraay standard errors. It includes a one-year lag of fiscal variables to ensure robustness. …”
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Study on cutting force in laser-assisted ultrasonic elliptical vibration machining (LUEVM) of high volume SiCp/Al composites by Peicheng Peng, Tian Tian, Heshuai Yu, Daohui Xiang, Ke Niu, Wei Gao, Yanqin Li, Zhaojie Yuan, Guofu Gao

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Replication of a GWAS signal near HLA-DQA2 with AML using a disease-only cohort and external population-based controls by Rose Laflamme, Véronique Lisi, Josée Hébert, Guy Sauvageau, Sébastien Lemieux, Vincent-Philippe Lavallée, Guillaume Lettre

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Design and Uncertainty Analysis of an AC Loss Measuring Instrument for Superconducting Magnets by Pasquale Arpaia, Davide Cuneo, Ernesto De Matteis, Antonio Esposito, Pedro Ramos

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Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data by Shihua Li, Shunda Zhao, Zhilin Tian, Hao Tang, Zhonghua Su

“…The primary source of errors was the irregularity of tree morphology. Our method produced reasonable results across different parameter settings, demonstrating its insensitivity to parameter configurations.…”
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Design and Parameter Optimization of Drum Pick-Up Machine Based on Archimedean Curve by Caichao Liu, Feng Wu, Fengwei Gu, Man Gu, Jingzhan Ni, Weiweng Luo, Jiayong Pei, Mingzhu Cao, Bing Wang

“…Field tests were carried out with the same parameters, and the picking rate was 91.42% and the soil content was 3.567%, with errors of 0.038% and 0.054% compared with the predicted values, indicating that the stone picker meets the field operation requirements. …”
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Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images by Yanzhao Wang, Yonghua Sun, Xuyue Cao, Yihan Wang, Wangkuan Zhang, Xinglu Cheng, Ruozeng Wang, Jinkun Zong

“…However, there were still abnormal samples, such as classification errors, LC changes within a year, and spectral anomalies. (3) Using the LSCP algorithm, 70.10% of the abnormal samples were removed, resulting in a final training sample accuracy that exceeded 97.87% in each region. …”
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A guideline study for optimal machine learning approaches to predict the off-design performance of sCO2-PCHEs by Xin Sui, Wenqi Wang, Chunyang Liu, Peixin Dong

“…As research increasingly focuses on predicting the off-design performance of PCHEs using machine learning (ML) approaches, there is a clear need to identify the most cost-effective method that offers optimal accuracy and generalization across a wide range of operating conditions in sCO2 power cycles. …”
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Multi-Field-Coupled Model and Solution of Active Electronically Scanned Array Antenna Based on Model Reconstruction by Dan Han, Jin Huang, Jinzhu Zhou, Mei Wang, Sen Xu, Haitao Li, Shen Li

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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“… Background and purpose: Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. …”
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Data-Driven Multi-Scale Channel-Aligned Transformer for Low-Carbon Autonomous Vessel Operations: Enhancing CO₂ Emission Prediction and Green Autonomous Shipping Efficien... by Jiahao Ni, Hongjun Tian, Kaijie Zhang, Yihong Xue, Yang Xiong

“…Validated on a 22-dimensional real autonomous vessel dataset, MCAT reduces prediction errors by 12.5% MAE and 24% MSE compared to state-of-the-art methods, demonstrating superior robustness under noisy scenarios. …”
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Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…Furthermore, ICS-SNN significantly outperforms mainstream models such as Long Short-Term Memory (LSTM) and Backpropagation (BP) networks, reducing prediction errors by 10.8% (MAE) and 34.9% (MSE), respectively, without compromising computational efficiency. …”
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AttenCRF-U: Joint Detection of Sleep-Disordered Breathing and Leg Movements in OSA Patients by Qiuyue Li, Kewei Li, Cong Fu, Yiyuan Zhang, Huan Yu, Chen Chen, Wei Chen

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