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    Short-Term Exposure to Air Pollution Associated with an Increased Risk of ST-Elevation and Non-ST-Elevation Myocardial Infarction Hospital Admissions: A Case-Crossover Study from B... by Yakun Zhao, Yuxiong Chen, Yanbo Liu, Siqi Tang, Yitao Han, Jia Fu, Zhen’ge Chang, Xinlong Zhao, Yuansong Zhuang, Jinyan Lei, Zhongjie Fan

    Published 2025-06-01
    “…These findings demonstrate that air pollutants differentially impact AMI subtypes through distinct temporal patterns and population vulnerabilities, underscoring the necessity of incorporating AMI subtype classification and individual susceptibility factors in environmental health risk assessments and related public health policies.…”
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  17. 27097

    Modeling corticotroph deficiency with pituitary organoids supports the functional role of NFKB2 in human pituitary differentiation by Thi Thom Mac, Teddy Fauquier, Nicolas Jullien, Pauline Romanet, Heather Etchevers, Anne Barlier, Frederic Castinetti, Thierry Brue

    Published 2024-11-01
    “…Our results provide strong evidence for the direct role of NFKB2 mutations in the endocrine phenotype observed in patients leading to a new classification of a NFKB2 variant of previously unknown clinical significance as pathogenic in pituitary development.…”
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  18. 27098

    Diagnostic and prognostic potential of cell-free RNAs in cerebrospinal fluid and plasma for brain tumors by Jinyong Huang, Jinxia Zhou, Jun Wang, Yonghao Yi, Lu Zhang, Shuyong Qiu, Yuanyan Tan, Qianwen Guo, Feilong Zhao, Xinying Li, Yanqin Niu, Haoyu Li, Changwu Wu, Kang Kang, Qing Liu, Deming Gou

    Published 2025-04-01
    “…Additionally, we identified 33 CSF and 3 plasma cfRNAs with prognostic significance for postoperative patient outcomes. …”
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  19. 27099

    A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

    Published 2025-09-01
    “…Key findings include: (1) the ASMF estimates exhibited high accuracy (R2 = 0.723), with optimal performance for forests aged 9–10 years; (2) secondary mangrove forests comprised 47 % (823.87 ha) of the total mangrove area within the DNNR; and (3) younger stands (1–9 years) represented 32 % of all secondary mangrove forests. …”
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