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  1. 1021

    Spatial mapping of the localized corrosion behavior of a magnesium alloy AZ31B tungsten inert gas weld by Leslie G. (Bland) Miller, Corey M. Efaw, Rebecca F. Schaller, Kari Higginbotham, Steve D. Johns, Paul H. Davis, Elton Graugnard, John R. Scully, Michael F. Hurley

    Published 2025-01-01
    “…The galvanic coupling and evolution of the intrinsic corrosion behavior between the weld zones is explained by monitoring the hydrogen evolution reaction (HER) with SECM over time. …”
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    Article
  2. 1022

    Morphology and dynamics of sporadic E layers observed by amateur radio by WenYu Hao, Tao Yu, Yang-Yi Sun, Jin Wang, LiHui Qiu

    Published 2025-07-01
    “…The results provide us a way for obtaining the horizontal structure and dynamic features of Es layers, which can help improve our understanding of the formation and evolution of Es layers.…”
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  3. 1023

    Research on Multi-Step Prediction of Pipeline Corrosion Rate Based on Adaptive MTGNN Spatio-Temporal Correlation Analysis by Mingyang Sun, Shiwei Qin

    Published 2025-05-01
    “…In order to comprehensively investigate the spatio-temporal dynamics of corrosion evolution under complex pipeline environments and improve the corrosion rate prediction accuracy, a novel framework for corrosion rate prediction based on adaptive multivariate time series graph neural network (MTGNN) multi-feature spatio-temporal correlation analysis is proposed. …”
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    Article
  4. 1024
  5. 1025
  6. 1026

    A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

    Published 2024-11-01
    “…This classical method identifies a feature subset that maximizes the correlation between features and targets and minimizes redundancy between features based on mutual information. …”
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    Article
  7. 1027

    A Novel Method for Technology Roadmapping: Nanorobots by Huailan Liu, Zhen Li, Rui Zhang, Yufei Liu, Yixin He

    Published 2024-11-01
    “…The methodology begins with text feature extraction, clustering algorithms, and theme mining to identify dominant technological themes. …”
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    Article
  8. 1028

    Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

    Published 2025-01-01
    “…The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. …”
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  9. 1029
  10. 1030
  11. 1031

    AutoLDT: a lightweight spatio-temporal decoupling transformer framework with AutoML method for time series classification by Peng Wang, Ke Wang, Yafei Song, Xiaodan Wang

    Published 2024-11-01
    “…TS-separable linear self-attention mechanism and convolutional feedforward network achieve feature extraction in a lightweight way by decoupling temporal and spatial features of time series. …”
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  12. 1032
  13. 1033

    The Evaluation оf Potential Threat оf Animal’s Coronaviruses аs Human’s Patogens by T. E. Sizikova, V. N. Lebedev, S. V. Borisevich

    Published 2021-06-01
    “…The main focus is on bat coronaviruses (as a reservoir of SARS-CoV, MERS-CoV and SARS-CoV-2 viruses), as well as avian coronaviruses, due to the potential ability of these animals to become vectors of spread of new emergent diseases and the coronaviruses of carnivores, due to the established during the COVID-19 pandemic fact of transmission of the SARS-CoV-2 virus from man to mink and from mink to man. Studying the features of molecular evolution it will help you better understand the mechanisms of occurrence and adaptation to humans pathogens of emergent viral diseases.…”
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  14. 1034

    Theoretical foundations of the formation of the concept of sustainable development and its practical implementation at the current stage of social development by O.V. Tarasuik

    Published 2025-03-01
    “…The main stages of development were formed, the features and characteristic signs of its formation were determined. …”
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  15. 1035

    An Improved Transformer-Based Model for Urban Pedestrian Detection by Tianyong Wu, Xiang Li, Qiuxuan Dong

    Published 2025-03-01
    “…Furthermore, we present a nonlinear feature fusion module that fuses information from various feature scales and contexts more successfully. …”
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  16. 1036

    Application of Optimization Parameters VMD and MED in Fault Diagnosis of Train Gearbox Rolling Bearings by Changqing LI, Jianhui LIN, Yongxu HU

    Published 2020-05-01
    “…Aiming at the problem of feature extraction of train gearbox rolling bearing’s incipient fault in the case of strong noise, a method of fault diagnosis based on minimum entropy deconvolution (MED) and parameter optimized variational mode decomposition (VMD) was proposed. …”
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  17. 1037
  18. 1038

    Single Mutation in <i>iolT1</i> in <i>ptsG</i>-Deficient <i>Corynebacterium glutamicum</i> Enables Growth Boost in Xylose-Containing Media by Katharina Hofer, Lynn S. Schwardmann, Jung-Won Youn, Volker F. Wendisch, Ralf Takors

    Published 2025-07-01
    “…By combining rational strain engineering with continuous adaptive laboratory evolution, we evolved a <i>ptsG</i>-deficient <i>C. glutamicum</i> strain in glucose–xylose mixtures for 600 h under consistent selection pressure. …”
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  19. 1039

    An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

    Published 2025-02-01
    “…This study uses Jinan, a typical foothill plain city in Shandong Province, as a case study to compare the performance of differential evolution (DE), genetic algorithm (GA), and particle swarm optimization (PSO) in calibrating the SWMM. …”
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  20. 1040

    New Maps of Lunar Surface Oxide Abundances and Mg# Using an Optimized Ensemble Learning Algorithm by Chaofa Bian, Kefei Zhang, Yunzhao Wu, Suqin Wu, Yu Lu, Yabo Duan, Huajing Wu, Zhenxing Zhao, Wei Wu

    Published 2025-01-01
    “…The oxide and Mg# distributions in three craters from different geological units&#x2014;Highlands, SPA basin, and Maria&#x2014;indicate different magmatic evolution processes, providing new insights into lunar geological evolution and volcanism.…”
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