Showing 2,441 - 2,460 results of 7,384 for search 'MTNL~', query time: 1.48s Refine Results
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    Benchmarking protein language models for protein crystallization by Raghvendra Mall, Rahul Kaushik, Zachary A. Martinez, Matt W. Thomson, Filippo Castiglione

    Published 2025-01-01
    “…The LightGBM classifiers utilizing embeddings from ESM2 model with 30 and 36 transformer layers and 150 and 3000 million parameters respectively have performance gains by 3- $$5\%$$ than all compared models for various evaluation metrics, including AUPR (Area Under Precision-Recall Curve), AUC (Area Under the Receiver Operating Characteristic Curve), and F1 on independent test sets. …”
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    Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio by Shuai Shang, Meng Wei, Huasheng Lv, Xiaoyan Liang, Yanmei Lu, Baopeng Tang

    Published 2025-02-01
    “…Calibration and DCA curves indicated model accuracy and clinical utility. Risk stratification revealed higher mortality in the high-risk group, emphasizing WBC/TP as predictors and the model's value for early high-risk patient identification in infant heart failure.…”
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    Safe Separation of the Low-Concentration and Oxygen-Bearing Coal Mine Methane by Vacuum Pressure Swing Adsorption by Xiong Yang, Yingshu Liu, Yongling Li, Yu Meng, Chuanzhao Zhang, Junjie Yan

    Published 2014-08-01
    “…Pressure swing adsorption (PSA) is a suitable method to enrich the concentration of methane in coal mine methane (CMM) separation processes. However, traditional PSA processes for low-concentration CMM can easily increase the concentration of methane to explosive limits, which subsequently increases the risk of explosion. …”
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    Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

    Published 2025-01-01
    “…This module identifies hard samples based on the consistency of models or samples, where we develop uncertainty evaluation and the instance discrimination strategy to assess the contributions of samples effectively. We utilize ResNet50 and ViT architectures with Faster-RCNN for detection and recognition, developed using PyTorch 2.0. …”
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    Dihydromyricetin Inhibits M1 Macrophage Polarization in Atherosclerosis by Modulating miR-9-Mediated SIRT1/NF-κB Signaling Pathway by Zhousheng Yang, Tianyu Li, Chunyan Wang, Mingyu Meng, Shenglan Tan, Lei Chen

    Published 2023-01-01
    “…We showed that DMY treatment markedly decreased M1 macrophage markers (e.g., Tnf-α and IL-1β) and p65-positive macrophage numbers in the vessel wall of Apoe-deficient (Apoe–/–) mice. …”
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