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  1. 1721
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    Genome-wide identification and salt stress-responsive expression profiling of Aux/IAA gene family in Asparagus officinalis by Shuangshuang Wen, Jiali Ying, Youju Ye, Yunfei Cai, Lebin Li, Renjuan Qian

    Published 2025-06-01
    “…Additionally, the expression patterns of AoIAAs in A. officinalis differed among various tissues. …”
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    Article
  3. 1723

    The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces by Chengzhen Wu, Bo Yao, Xin Zhang, Ting Li, Jinhai Wang, Jiangbo Pu

    Published 2025-02-01
    “…The incorporation of entropy features can significantly enhance pattern classification accuracy (by 8–10%). …”
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    Article
  4. 1724

    Tumor-infiltrating lymphocytes are the key determinants of pathological features associated with pathogenic BRCA variants in high-grade serous ovarian carcinoma by Dang H. Nguyen-Phan, Dang H. Nguyen-Phan, Dang H. Nguyen-Phan, Tin Dang, Anh N. Dang, Loc T. H. Huynh, Phuong T. B. Nguyen, Vu Q. Tran, Hanh T. T. Ngo, Thao T. P. Doan, Tu A. Thai, Chien-Chin Chen, Chien-Chin Chen, Chien-Chin Chen, Chien-Chin Chen

    Published 2025-06-01
    “…Statistical analyses were used to determine the associations between these features and BRCA variant status.ResultsIn TIL-negative HGSOCs, SET patterns were strongly associated with pathogenic or likely pathogenic BRCA variants (p = 0.028), emerging as the most reliable morphological marker in this group. …”
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    Article
  5. 1725

    Uncovering How Information Quality Shapes Diverse User Engagement on Content Community Platforms: Harnessing Deep Learning for Feature Extraction by Yanzi Wang, Min Wang, Zhen Zhu, Haoxiang Ye

    Published 2024-10-01
    “…Our objective is to uncover distinct patterns of impact that information quality features have on these different forms of user engagement. …”
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    Article
  6. 1726

    PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network by Mahmood A. Rashid, Mayank Chaturvedi, Kuldip K. Paliwal

    Published 2025-01-01
    “…The CNN model processes these combined features to extract local patterns and motifs critical for RNA-protein interactions. …”
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    Article
  7. 1727
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    Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

    Published 2025-10-01
    “…Machine learning enhances machine diagnostics through advanced data analysis, pattern recognition, and fault prediction. This study investigates the application of machine learning algorithms for bearing fault detection. …”
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    Article
  10. 1730

    Prevalence and spectrum of PIK3 mutations in breast cancer and their correlation with clinicopathological features: A cross-sectional observational study from South India by HS Darling, Rahul Sud, Deep Kumar Raman

    Published 2025-01-01
    “…The secondary objectives included evaluating the correlation of PIK3CA mutations with clinicopathological features such as tumor grade, stage, receptor status, molecular subtype, and metastatic pattern. …”
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    Article
  11. 1731

    Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

    Published 2025-02-01
    “…This network incorporates an intra-window graph contrastive constraint to enhance the discriminative ability of the extracted features. Moreover, temporal dependencies across windows are captured by integrating feature embeddings through a self-attention mechanism, and the inter-window recurrent contrastive constraint is devised to extract higher-order spatio-temporal topological features. …”
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    Article
  12. 1732

    Pathophysiological mechanisms in severe preeclampsia: role of upregulated proteins in blood pressure, extracellular matrix and immunity by Caroline Cristina Pinto-Souza, Julyane Natsumi Saito Kaihara, Bruno César Rossini, Ricardo de Carvalho Cavalli, Lucilene Delazari dos Santos, Valéria Cristina Sandrim

    Published 2025-08-01
    “…Protein identification and annotation were performed using UniProt and PatternLab for Proteomics. Multivariate statistical analyses, including PLS-DA and sPLS-DA, as well as VIP score evaluation and Volcano plot visualization, were conducted with MetaboAnalyst to assess group separation and identify key discriminative features. …”
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    Article
  13. 1733

    EXPERIENCE IN PRESERVING THE GENETIC DIVERSITY OF STONE FRUITS USING THE BORDER HEDGING TECHNOLOGY by G. V. Eremin, T. A. Gasanova, V. G. Eremin, I. S. Chepinoga

    Published 2019-10-01
    “…Among them are biological features of the in situ plant growth habit, including vigor, selection of rootstock or decision on own-root cultivation, layout of the plot, and maintenance system. …”
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    Article
  14. 1734

    Evaluating the Effect of Environmental-Physical Factors on the Livability and Quality of Urban Streets (Case Study: Nader and Enghelab Streets in Sari City) by Armin Akhavan, Esmail Salehi, Shirin Toghyani

    Published 2018-09-01
    “…Studied streets’ environmental-physical features were considered as independent variables and their quality and livability were taken as dependent variables. …”
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    Article
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    Literary Elite in Processes of Socio-Cultural Modernization of Russia in 1830-1850: Main Identificational Features and Peculiarities of Status and Role Identification by T. F. Arzhanykh

    Published 2017-05-01
    “…The process of formation of bases for self-identity are investigated as well as attribute characteristics of the humanitarian-artistic intelligentsia of Russia in 1830-1850. Specific features of the particular inter-class group of intellectuals of intelligentsia reflection are distinguished. …”
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    Article
  19. 1739

    Intraventricular silicone oil migration post-retinal detachment surgery: diagnostic features and classification – a case study with literature review by Wenkui Li, Chuyue Wu, Wei Xue, Rong Deng

    Published 2025-03-01
    “…This report discusses the radiological features and differential diagnosis of IVM-SiO, underlining the diagnostic challenges in distinguishing it from other intraventricular pathologies. …”
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    Article
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