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  1. 2421

    The role of malnutrition on outcomes of multisystem inflammatory syndrome in children (MIS-C) due to COVID-19 by Tutku Soyer, Kübra Aykaç, Gözde Özer, Yasemin Özsürekçi, H. Nursun Özcan, Kaya Yorgancı, Osman Abbasoğlu

    Published 2024-05-01
    “…Patients with MIS-C were evaluated for demographic features, anthropometric parameters, clinical findings and outcomes. …”
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  2. 2422
  3. 2423

    A novel asymmetric form of the power half-logistic distribution with statistical inference and real data analysis by Amal S. Hassan, Najwan Alsadat, Mohammed Elgarhy, Laxmi Prasad Sapkota, Oluwafemi Samson Balogun, Ahmed M. Gemeay

    Published 2025-02-01
    “…To be more specific, we created an innovative two-parameter lifetime model called the sine power half-logistic distribution (SPHLD) by using features from the sine-generated family of distributions. …”
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  4. 2424

    River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

    Published 2025-03-01
    “…Further innovation is evident in the introduction of the Residual Partial Convolutional Network (RPCN) as the backbone, which selectively applies convolutions to key channels, leveraging the concept of residuals to reduce computational redundancy and enhance accuracy. The enhancement of the RepBlock with Conv3XCBlock, along with the integration of a parameter-free attention mechanism within the convolutional layers, underscores our commitment to efficiency, ensuring that the model prioritizes valuable information while suppressing redundancy. …”
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  5. 2425
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  9. 2429

    Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

    Published 2020-02-01
    “…The correlations between the level of cognitive activity and the individual typology of extracurricular activities (based on features of personality formation and social influence of the family) has been determined.…”
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  10. 2430
  11. 2431

    Open-source Flux Transport (OFT). I. HipFT–High-performance Flux Transport by Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Cooper Downs, Lisa A. Upton, Bibhuti Kumar Jha, Raphael Attie, Charles N. Arge, Carl J. Henney

    Published 2025-01-01
    “…The Open-source Flux Transport (OFT) model seeks to fill this gap by providing an open and user-extensible SFT model that also builds on the knowledge of previous models with updated numerical and data acquisition/assimilation methods along with additional user-defined features. In this first of a series of papers on OFT, we introduce its computational core: the High-performance Flux Transport (HipFT) code ( https://github.com/predsci/hipft ). …”
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  12. 2432

    Impact of Nanofluid Flow over an Elongated Moving Surface with a Uniform Hydromagnetic Field and Nonlinear Heat Reservoir by Haroon U. R. Rasheed, Saeed Islam, Zeeshan Khan, Sayer O. Alharbi, Hammad Alotaibi, Ilyas Khan

    Published 2021-01-01
    “…Thus, innovative thermal transport fluids require to boost thermal conductivity and heat flow features to upsurge convection heat rate, and nanofluids have been effectively employed as standard heat transfer fluids. …”
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    Article
  13. 2433

    CDUNeXt: efficient ossification segmentation with large kernel and dual cross gate attention by Hailiang Xia, Chuantao Wang, Zhuoyuan Li, Yuchen Zhang, Shihe Hu, Jiliang Zhai

    Published 2024-12-01
    “…By designing lightweight module structures, utilizing large-kernel convolutions to extracts the long-distance dependencies of different features of the image, and adopting dual-cross-gate-attention(DCGA) to sequentially capture the channel and spatial dependencies so as to fast and accurate segmentation while maintaining fewer parameters and lower complexity. …”
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  14. 2434

    K0-K¯0 Mixing in the Minimal Flavor-Violating Two-Higgs-Doublet Models by Natthawin Cho, Xin-Qiang Li, Fang Su, Xin Zhang

    Published 2017-01-01
    “…The two-Higgs-doublet model (2HDM), as one of the simplest extensions of the Standard Model (SM), is obtained by adding another scalar doublet to the SM and is featured by a pair of charged Higgs, which could affect many low-energy processes. …”
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  15. 2435

    WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks by Jose Perdomo, M. A. Gutierrez-Estevez, Chan Zhou, Jose F. Monserrat

    Published 2025-01-01
    “…With ablation experiments, we validate the downlink signal-to-interference-and-noise ratio (SINR) user equipment (UE) node feature as the most significant contributor to reconstruct downlink rates. …”
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  16. 2436

    Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

    Published 2025-08-01
    “…This study establishes an expandable new dataset that accommodates additional parameters to improve the prediction accuracy. Results demonstrate the model's ability to overcome data imbalance limitations through debris cloud features, enabling rapid and accurate rear plate damage prediction across wider scenarios with minimal data requirements.…”
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  17. 2437
  18. 2438

    YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

    Published 2025-04-01
    “…Comparative evaluations demonstrate significant improvements over baseline models, achieving 91.7% recognition accuracy with 389 FPS processing speed while maintaining 19.2% parameter reduction and 32.1% lower computational load compared to standard YOLOv8. …”
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  19. 2439

    A Multiscale Gradient Fusion Method for Color Image Edge Detection Using CBM3D Filtering by Zhunruo Feng, Ruomeng Shi, Yuhan Jiang, Yiming Han, Zeyang Ma, Yuheng Ren

    Published 2025-03-01
    “…Next, the vector gradients of the color image and anisotropic Gaussian directional derivatives for two scale parameters are computed. These are then averaged pixel-by-pixel to generate a refined edge strength map. …”
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  20. 2440

    High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

    Published 2024-12-01
    “…Abstract Metamaterial design, encompassing both microstructure topology selection and geometric parameter optimization, constitutes a high‐dimensional optimization problem, with computationally expensive and time‐consuming design evaluations. …”
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