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  1. 13821

    Integrated Physiological, Transcriptomic, and Metabolomic Analysis Reveals Mechanism Underlying the <i>Serendipita indica</i>-Enhanced Drought Tolerance in Tea Plants by Gaojian Shen, Hongli Cao, Qin Zeng, Xiaoyu Guo, Huixin Shao, Huiyi Wang, Liyong Luo, Chuan Yue, Liang Zeng

    Published 2025-03-01
    “…Metabolome analysis showed that <i>S. indica</i> promoted the accumulation of flavonoid metabolites, including naringin, (-)-epiafzelechin, naringenin chalcone, and dihydromyricetin, while inhibiting the content of amino acids and derivatives, such as homoarginine, L-arginine, N6-acetyl-L-lysine, and N-palmitoylglycine, during water deficit. The expression patterns of <i>S. indica</i>-stimulated genes were investigated using transcriptome analysis. …”
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  2. 13822

    Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features by Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee

    Published 2025-08-01
    “…Our findings revealed robust directional-specific high-gamma modulation within the insular cortex during motor execution. Temporal decomposition through dPCA demonstrated distinct spatiotemporal patterns of high-gamma activity across movement conditions. …”
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  3. 13823

    Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl by Heba Bedair, Heba Bedair, Yehia Hazzazi, Asmaa Abo Hatab, Marwa Waseem A. Halmy, Mohammed A. Dakhil, Mohammed A. Dakhil, Mubaraka S. Alghariani, Mubaraka S. Alghariani, Mari Sumayli, A. El-Shabasy, Mohamed M. El-Khalafy

    Published 2025-02-01
    “…Assessing the impact of climate change on the distribution patterns of Mediterranean endemics is of critical importance for understanding the dynamics of these terrestrial ecosystems under the uncertainty of future changes. …”
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  4. 13824

    Metabolic Status and Atrioventricular Block Risk: The Role of Physical Activity by Ho-Gi Chung, Pil-Sung Yang, Eunsun Jang, Daeun Joung, Daehoon Kim, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Jung-Hoon Sung, Hui-Nam Pak, Moon-Hyoung Lee, Boyoung Joung

    Published 2025-05-01
    “…This pattern was consistent for second-degree AVB (HR: 1.59, 95% CI: 1.12–2.27; p = 0.010), third-degree AVB (HR: 1.50, 95% CI: 1.12–2.03; p = 0.008), and AVB-related pacemaker implantation (HR: 2.25, 95% CI: 1.44–3.52; p < 0.001). …”
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  5. 13825
  6. 13826

    Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning by Supasuta Busayakanon, Morakot Kaewthamasorn, Natchapon Pinetsuksai, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang, Veerayuth Kittichai

    Published 2024-11-01
    “…Among the SSL models, ResNet50 consistently achieved high accuracy, reaching 0.992 in most classes, which aligns well with the patterns observed in the pre-trained uniform manifold approximation and projection representations. …”
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  7. 13827

    Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature by Qiuqiao Mu, Qiuqiao Mu, Qiuqiao Mu, Han Zhang, Ying Shi, Mengli Xue, Jingxian Wang, Yun Ding, Lin Tan, Hui Yuan, Xin Li, Xin Li, Daqiang Sun, Daqiang Sun, Daqiang Sun

    Published 2025-07-01
    “…The functional role of the hub gene SELENBP1 was experimentally validated through quantitative PCR (qPCR), Western blotting, immunohistochemistry (IHC), Transwell migration assays, colony formation assays, flow cytometry, ROS quantification, and subcutaneous tumorigenesis assays in vivo.ResultsSingle-cell transcriptomic analysis identified four distinct malignant epithelial subtypes (Clusters 0–3), each characterized by unique patterns of CNV. Leveraging these defined cellular subpopulations, we constructed a highly accurate model for prognostication in LUAD, enabling reliable classification of patients based on clinical outcomes. …”
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  8. 13828

    Bridging aging, immunity, and atherosclerosis: novel insights into senescence-related genes by Yan Lu, Rong Yuan, Rong Yuan, Qiqi Xin, Qiqi Xin, Keji Chen, Keji Chen, Weihong Cong, Weihong Cong

    Published 2025-06-01
    “…Pseudotime trajectory analysis revealed that PDLIM1, PARP14, and SEL1L3 exhibited stage-specific expression patterns during macrophage differentiation. Analyses based on CellChat indicated that senescent vascular cells predominantly communicate with macrophages, with differential expression of these biomarkers observed across distinct macrophage populations. …”
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  9. 13829

    Mycorrhizal and nutrient controls of carbon sequestration in tropical rainforest soil by Jie Chen, Xin Tang, Han Xu, Yanpeng Li, Adriana Corrales, Yide Li, Yakov Kuzyakov, Zhanfeng Liu, Shirong Liu

    Published 2025-02-01
    “…The AM tree community patterns had inconsistent regulations on SOC, with basal area showing a positive while species richness exerting a negative effect on SOC content. …”
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  10. 13830

    Reciprocal METTL3-PAX5 regulation in maintaining B-cell identity and promoting B-cell hyperreactivity in SLE by Yiying Yang, Ying Zhang, Shasha Xie, Ke Liu, Meidong Liu, Yisha Li, Hui Luo, Xiaoxia Zuo, Huali Zhang, Muyao Guo

    Published 2025-06-01
    “…MeRIP-seq analysis identified distinct m6A methylation patterns among B-cell subsets, particularly in key transcription factors critical for B-cell activation and differentiation. …”
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  11. 13831

    Global burden of diphtheria, 1990–2021: a 204-country analysis of socioeconomic inequality based on SDI and DTP3 vaccination differences before and after the COVID-19 pandemic (GBD... by Zilun Wu, Zilun Wu, Liyu Lin, Liyu Lin, Jinbu Zhang, Jinbu Zhang, Jirui Zhong, Jirui Zhong, Donglan Lai, Donglan Lai, Donglan Lai

    Published 2025-06-01
    “…This study provides the first systematic quantification of spatiotemporal diphtheria burden patterns, offering critical evidence for the WHO 2030 Diphtheria Elimination Roadmap. …”
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  12. 13832

    AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

    Published 2025-12-01
    “…This research underscores the potential of predictive modeling to enhance pharmacovigilance efforts and ensure safer clinical trial outcomes. • The research methodology includes a comparison of supervised learning algorithms, such as Logistic Regression, Random Forest, Gradient Boost, CNN, and genetic algorithms, to identify patterns and anomalies in clinical trial data. BERT and GPT, were also employed to provide the functionality of textual interactions over medical data. • Performance metrics such as accuracy, precision, recall, and F1-score were systematically applied to evaluate each model’s performance. …”
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  13. 13833

    In situ U-Pb dating and trace elements of magmatic rutile from Mujicun Cu-Mo deposit, North China Craton: Insights into porphyry mineralization by Fan Yang, Jing-wen Mao, Wei-dong Ren, Jia-run Tu, Gilby Jepson, Si-yuan Meng, Zhi-min Wang

    Published 2024-10-01
    “…Rutile trace element data show flat-like REE patterns characterized by relatively enrichment LREEs and depleted HREEs, which could be identified as magmatic rutile. …”
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  14. 13834

    The Running Performance of Elite Youth Football Players in Matches with a 1-4-3-3 Formation in Relation to Their Playing Position by Yiannis Michailidis, Andreas Stafylidis, Lazaros Vardakis, Angelos E. Kyranoudis, Vasilios Mittas, Vasileios Leftheroudis, Spyridon Plakias, Athanasios Mandroukas, Thomas I. Metaxas

    Published 2025-04-01
    “…The players’ movement patterns were captured using a GPS device and categorized into six velocity zones (first: 0.1–7.19 km/h, second: 7.2–10.99, third: 11–14.39 km/h, fourth: 14.4–19.79 km/h, fifth: 19.8–25.19 km/h, sixth: >25.2 km/h). …”
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  15. 13835

    Insights into bloodstream infections in South African paediatric burn patients: Implications for antimicrobial stewardship by Dr Michael Christie, Professor Theunis Avenant, Dr Zeenat Bhikhoo

    Published 2025-03-01
    “…Polymicrobial and fungal BSIs occurred later during hospitalization, highlighting evolving infection patterns in burn patients. …”
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  16. 13836

    Condomless sexual encounters among female sex workers included in a longitudinal coital diary study in Zimbabwe by Galven Maringwa, Tatenda Kujeke, Memory Makamba, Gracious Madimutsa, Sungai T. Chabata, Harriet Jones, Fortunate Machingura, Elizabeth Fearon, Frances M. Cowan, James R. Hargreaves

    Published 2025-02-01
    “…We aimed to estimate the prevalence and patterns of condomless sex by partner type at the sexual encounter level, as well as identify factors associated with condomless sex among FSWs recruited into a diary study in Zimbabwe. …”
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  17. 13837
  18. 13838

    Impact and elastic modulus of coal mining on terrestrial ecosystems by Jihong Dong, Wenting Dai, Jiren Xu, Hui Zhang, Yunpeng Li, Fei Xie

    Published 2025-03-01
    “…Using China’s open-pit coal mining as a case study: (1) the research examines the fundamental attributes and evolving patterns of spatial distribution among these mines within the country. …”
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  19. 13839

    Real-world data of Azvudine-induced hepatotoxicity among hospitalized COVID-19 patients in China: a retrospective case-control study by Yuanguo Xiong, Hao Xin, Cai Shi, Xianxi Guo, Ying Chen, Caifei Huang, Fuwang Ma, Ge Yang, Jian Yang

    Published 2025-06-01
    “…However, the incidence and risk factors associated with Azvudine-induced hepatotoxicity in hospitalized patients remained unclear.ObjectsTo assess the prevalence, risk factors, clinical patterns, and outcomes of Azvudine-induced hepatotoxicity by real-world data.MethodsWe conducted a single-center retrospective case-control study at Renmin Hospital of Wuhan University, including patients administered Azvudine for COVID-19 treatment between December 2022 and May 2023. …”
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  20. 13840

    A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

    Published 2025-05-01
    “…Additionally, ResNet-MSIS effectively captured the horizontal TMD variations, including equatorial mass density anomaly (EMA) and midnight density maximum (MDM) structures, confirming its ability to learn complex spatiotemporal patterns. This work underscores the value of merging data-driven methods with domain-specific prior knowledge, offering a promising pathway for advancing TMD modeling in space weather and atmospheric research.…”
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