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  1. 26801

    Extraction of Nd(III) by Hydrophobic Deep Eutectic Solvent BTMPPA/Phenol from Nitrate Solution by Inna V. Zinov’eva, Yulia A. Zakhodyaeva, Andrey A. Voshkin

    Published 2024-05-01
    “…Solvent extraction is an effective method in the hydrometallurgical processing of NdFeB magnets. Recently, researchers have been using alternative solvents in the development of new REE extraction processes. …”
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  2. 26802

    Prevalence and factors associated with false hyperkalaemia in Asians in primary care: a cross-sectional study (the Unlysed Hyperkalaemia- the Unseen Burden (UHUB) study) by Ngiap Chuan Tan, Alicia Ying Ying Boo, Yi Ling Eileen Koh, Pei Lin Hu

    Published 2020-09-01
    “…The average processing time among specimens with potassium ≥6.0 mmol/L was 50 min longer, compared with those with potassium <5.1 mmol/L. …”
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  3. 26803

    Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

    Published 2022-08-01
    “…As the main source of spatial data, old maps were used, selected according to 12 stages of the development of the Stavropol region ATD system over a 237-year period. For the processing and analysis of spatial data, the functionality of the GIS package Mapinfo Professional and the Vertical Mapper module were used. …”
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  4. 26804
  5. 26805

    Heat transfer performance appraisal of hybrid and ternary nanofluid flows over a wedge considering viscous dissipation and quadratic thermal convection: Non-similar solution approa... by Muhammad Ramzan, Nazia Shahmir, Ibtehal Alazman, Chandu Veetil Ahamed Saleel, Jaber M. Asiri, Abdulkafi Mohammed Saeed, Wei Sin Koh

    Published 2025-06-01
    “…The model accounts for homogeneous-heterogeneous (HOM-HET) reactions and surface-catalyzed processes that enhance reaction rates by increasing molecular collision frequency. …”
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  6. 26806
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    IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

    Published 2025-03-01
    “…Extensive experiments on public datasets demonstrate that IDDNet achieves 89.4% precision and 83.9% AP, showing its superior accuracy, processing speed, generalization, and robust detection performance.…”
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    Left atrial spatial entropy: a novel tool for electrophysiological substrate characterization in atrial fibrillation by Lorenzo Gigli, Lorenzo Gigli, Alberto Preda, Davide Coluzzi, Marta Sartore, Muhamed Vila, Marco Carbonaro, Matteo Baroni, Marisa Varrenti, Sara Vargiu, Fabrizio Guarracini, Antonio Frontera, Luigi Pannone, Gian Battista Chierchia, Carlo De Asmundis, Patrizio Mazzone, Roberto Sassi

    Published 2024-11-01
    “…The aim of this study is to assess left atrial spatial entropy (LASE) from voltage maps routinely obtained during AF ablation to further characterize the LA substrate.Materials and MethodsHigh-density electroanatomic maps (EAMs) of 27 patients with paroxysmal or persistent AF undergoing routine CA were prospectively collected. Computational post-processing was performed on the voltage maps. …”
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  14. 26814

    SSFAN: A Compact and Efficient Spectral-Spatial Feature Extraction and Attention-Based Neural Network for Hyperspectral Image Classification by Chunyang Wang, Chao Zhan, Bibo Lu, Wei Yang, Yingjie Zhang, Gaige Wang, Zongze Zhao

    Published 2024-11-01
    “…Finally, the MLP Block processes the input features through a series of linear transformations, GELU activation functions, and Dropout layers, capturing complex patterns and relationships within the data, and concludes with an argmax layer for classification. …”
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  15. 26815

    CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

    Published 2025-01-01
    “…CSTFNet integrates spectral and spatial processing capabilities, significantly reducing computational complexity while maintaining high classification accuracy. …”
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