Search alternatives:
significantly influenced » significantly increased (Expand Search), significantly reduced (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
influenced decrease » influences disease (Expand Search)
significantly influenced » significantly increased (Expand Search), significantly reduced (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
influenced decrease » influences disease (Expand Search)
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3061
Anonymized data set: the anonymized data set necessary to replicate our study.
Published 2025Subjects: -
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Proposed Alzheimer’s disease classification pipeline using Multi-Scale EfficientNet with SVM.
Published 2025Subjects: -
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Remote learning: Preferences on recorded content. <i><i>Results displayed in percentages.</i></i>
Published 2025Subjects: -
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How mental health changed compared to last semester. <i><i>Results displayed in percentages.</i></i>
Published 2025Subjects: -
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Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025Subjects: -
3070
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3071
Influencing factor index system.
Published 2025“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”
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3072
Selection and description of influencing factors.
Published 2025“…<div><p>Exploring the spatial structure of residential land prices within metropolitan areas is crucial for identifying regional development disparities. It holds significant practical value for guiding the rational allocation of resources, optimizing land use efficiency, and promoting collaborative development across the metropolitan region. …”
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