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    LMOD2 interaction with ACTC1 regulates myogenic differentiation by Kaiming Wang, Caihong Liu, Lei Yi, Sui Liufu, Wenwu Chen, Xiaolin Liu, Bohe Chen, Xin Xu, Jingwen Liu, Xibing Liu, Yulong Yin, Haiming Ma

    Published 2025-07-01
    “…We screened ACTC1 as a candidate interacting protein for LMOD2 using protein prediction software and RNA-seq, and Co-IP experiments confirmed the relationship between LMOD2 and ACTC1. …”
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  3. 1023

    The spatial glaciological data infrastructure by T. Y. Khromova, A. A. Medvedev

    Published 2015-03-01
    “…Such facilities can be provided by the newly developed GIS technologies. Digital data bases are used as the key component of the GIS methods. …”
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    Drug repositioning framework using embedding drug-protein-disease similarities with graph convolution network and ensemble learning by Hanaa Torkey, Heba El-Behery, Abdel-Fattah Atti, Nawal El-Fishawy

    Published 2025-03-01
    “…As the number of drugs increases, their targets and interactions generate imbalanced data, which may be undesirable as input to computational prediction model. …”
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  6. 1026

    Using blended and online learning to increase appreciation of learning outcomes: case of a problematic game design unit by Isaiah T. Awidi, Tauel Harper, David Savat

    Published 2025-08-01
    “…An online survey was administered via the LMS to 137 enrolled students, with 101 responses collected over a four-week period. Quantitative data were analyzed using ANOVA and linear multivariate analysis to assess the impact of these interventions.Results and discussionThe findings suggest that the introduction of active and blended learning strategies—particularly those that increased student participation in lectures and group discussions—enhanced overall engagement and improved student satisfaction with the unit. …”
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  7. 1027

    Are Claims Grounded in Data? An Empowering Linking Approach for Misalignment Identification in Online Data-Driven Discussions by Tiziano Citro, Maria Angela Pellegrino, Carmine Spagnuolo

    Published 2024-01-01
    “…First, we propose a text-visualization interaction-based approach, named <monospace>HOOD</monospace>, to aid users in online data-driven discussions by integrating deictic data visualization with messages, avoiding tab switching, and enabling fine-grain text-to-visualization linking. …”
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  8. 1028

    Vario-scale data structures by Radan Šuba

    Published 2018-12-01
    “…There is a noticeable technological shift towards continuous generalisation which supports interactive map use where users can zoom in, out and navigate more gradual way. …”
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  9. 1029

    The Influence of Fashion Retailers on Customer Psychology Using Visual Merchandising and Store Layout to Improve Shopping Decision by Nicoleta-Valentina Florea, Gabriel Croitoru, Dan-Marius Coman, Mihaela-Denisa Coman

    Published 2025-02-01
    “…This research aims to identify the key factors that shape consumer behavior and provide useful insights for retailers by using interactive marketing factors. …”
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  10. 1030

    Big data, big responsibilities by Primavera De Filippi

    Published 2014-01-01
    “…Big data refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them. …”
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    Exploring the impact of coffee consumption and caffeine intake on cognitive performance in older adults: a comprehensive analysis using NHANES data and gene correlation analysis by Jinrui Li, Kai Yu, Fan Bu, Peng Li, Lei Hao

    Published 2025-07-01
    “…Cognitive performance was assessed using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) test, Animal Fluency test, and Digit Symbol Substitution Test (DSST). …”
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  16. 1036

    Visceral adiposity index (VAI) association with suicidal ideation among U.S. adults: a cross-sectional study using NHANES 2005–2018 data by Guangwei Qing, Jiakuan Tu, Hao He, Mengqian Su, Yan Chen, Bo Wei, Yuanjian Yang, Bin Zhang, Guang Yang

    Published 2025-05-01
    “…Methods A cross-sectional study using NHANES data from 2005–2018 included adults aged 18 and above with complete SI and VAI data. …”
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    Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

    Published 2025-07-01
    “…To construct a conditional <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>β</mi></mrow></semantics></math></inline-formula> PDF with better performance, a systematic PDF modeling and analysis framework coupled with machine learning methods based on the sparse experimental data was proposed. A comparative analysis was conducted for five machine learning methods across two experimental datasets using this framework. …”
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