Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

“…The leaching process conforms to the model of unreacted contraction core model under mixed control, the activation energy is 71.76 kJ/mol, and the macroscopic kinetic equation in terms of stirring rate, oxygen partial pressure and ultrasonic power is 1-(1-X)1/3-1/3ln(1-X) = 40.457P02 0.071r0.903 e(-8630.19/T)t.…”
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Research on the Harmonic Impedance of Three-phase PWM Converter by SHI Hongtao, ZHUO Fang, HOU Lixiang, YUE Xiaolong, ZHANG Dong, GENG Zhiqing

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Application of Low Stray Inductance Bus-bar Technology in IGBT Converter by CHEN Mingyi, MA Bole, CHEN Yuqi, WANG Xiong

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Link and Match Strategy Management in Building Graduate Competitiveness by Mashuri Mashuri, Simran Ballani, Saefuddaulah Mehir, Barnawi Barnawi, Jubaedi Jubaedi

“…Strategy evaluation and control are done through review, performance measurement and revision. …”
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Integrating artificial intelligence in drug discovery and early drug development: a transformative approach by Alberto Ocana, Atanasio Pandiella, Cristian Privat, Iván Bravo, Miguel Luengo-Oroz, Eitan Amir, Balazs Gyorffy

“…In early clinical development, AI supports patient recruitment by analyzing electronic health records and improves trial design through predictive modeling, protocol optimization, and adaptive strategies. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…Five-fold cross-validation confirms model stability with a CV coefficient of 0.092. Overall model fit achieves an R² value of 0.87, with prediction interval coverage reaching 93.8%, demonstrating strong explanatory power and reliability. …”
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Numerical Simulation on the Influence of Air Supply Parameters on Temperature Field in the Core Freezer by Liu Zeqin, Yu Yongjie, Li Jie

“…To optimize the uniformity of the temperature field distribution inside the core freezer and control the temperature fluctuation range, a test rig of core model and a three-dimensional RNG k-ε turbulence model were built based on the similarity principle to investigate the influence of air supply parameters (air supply temperature is from -3?…”
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UAV-Based Yield Prediction Based on LAI Estimation in Winter Wheat (<i>Triticum aestivum</i> L.) Under Different Nitrogen Fertilizer Types and Rates by Jinjin Guo, Xiangtong Zeng, Qichang Ma, Yong Yuan, Nv Zhang, Zhizhao Lin, Pengzhou Yin, Hanran Yang, Xiaogang Liu, Fucang Zhang

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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

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Microstructure Evolution and the Influence on Residual Stress in Metal Additive Manufacturing with Analytics by Wei Huang, Hamid Garmestani, Steven Y. Liang

“…Hence, this work provides a more accurate analytical residual stress model and lays the foundation for better control of residual stress in the AM industry.…”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The experimental results demonstrate that the BP neural network model incorporating multi-scale features outperforms traditional BP neural network models and other control models in several evaluation metrics. …”
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Finite Element Analysis of Stress Distribution in Canine Lumbar Fractures with Different Pedicle Screw Insertion Angles by Ziyao Zhou, Xiaogang Shi, Jiahui Peng, Xiaoxiao Zhou, Liuqing Yang, Zhijun Zhong, Haifeng Liu, Guangneng Peng, Chengli Zheng, Ming Zhang

“…The 58° insertion angle demonstrated optimal biomechanical stability with minimal stress concentration, with 56–60° as a biomechanically favorable range for pedicle screw fixation in canine lumbar fractures, balancing stress distribution and deformation control. …”
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Discussion on the future development trend of China’s iron and steel industry under the background of double carbon by Zhifeng CUI, Fangqin SHANGGUAN, Wenlue MA, Xiao LI, Zhengdong LIU, Ruiyu YIN

“…This study constructs a forecast model for various parameters such as crude steel output, scrap steel resource output, carbon emissions, ferrous resource structure, production process structure, and energy consumption structure in the steel industry. …”
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AI-Based Deep Learning of the Water Cycle System and Its Effects on Climate Change by Hasib Khan, Wafa F. Alfwzan, Rabia Latif, Jehad Alzabut, Rajermani Thinakaran

“…The proposed model simulates the development of global temperature, precipitation, and water availability, integrating key climate parameters that control these dynamics. …”
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Detection of the Pigment Distribution of Stacked Matcha During Processing Based on Hyperspectral Imaging Technology by Qinghai He, Zhiyuan Liu, Xiaoli Li, Yong He, Zhi Lin

“…This study enhances pigment detection efficiency in tea processing, supports process optimization, and aids in quality control.…”
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mRNA vaccine design using the proteome of Theileria annulata through immunoinformatics approaches by Roohollah Fattahi, Behrooz Sadeghi Kalani

“…A multi-epitope protein was then modeled and optimized, followed by structural and stability analyses of the mRNA vaccine construct. …”
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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

“…Methods This study proposed that the AB (anatomy and beam) model be compared with the control Mask (only anatomy) model. …”
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Landslide susceptibility assessment and zonation using negative sampling strategy: A case study of Bazhong area, Sichuan Province by Xueqiang GONG, Chuanjie XI, Xiewen HU, Yayun HU, Yonghao ZHOU, Yu ZHANG

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Enhanced reactivity and electron efficiency of nanoscale zero-valent iron for nitroaromatic compounds reduction through modification with anthraquinone-2-carboxylic acid by Yuxin Li, Shiqi Yang, Zihan Liu, Yiyang Pan, Pengfei Zhang, Zhiqiu Qu, Chao Shan

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Enhancing solar irradiance prediction precision: A stacked ensemble learning-based correction paradigm by Bo Tian, Ningbo Wang, Yuanxin Lin, Shuangquan Shao

“…Accurate solar irradiance prediction is critical for ensuring reliable control of solar energy systems. This study proposes a stacked ensemble learning model to correct daily solar irradiance forecasts derived from numerical weather prediction (NWP). …”
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