Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant source » significant burden (Expand Search)
significant side » significant sex (Expand Search), significant burden (Expand Search), significant gender (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant source » significant burden (Expand Search)
significant side » significant sex (Expand Search), significant burden (Expand Search), significant gender (Expand Search)
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Data types and their sources.
Published 2025“…Conversely, land areas occupied by cultivated land, Erica forest, grassland, and herbaceous plants are projected to decrease by 28.52%, 3.28%, 19.03%, and 6.55%, respectively. …”
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qRT-PCR results of differentially expressed miRNAs in rats’ myocardial tissue after training.
Published 2025Subjects: -
2128
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Differential expression of miRNAs in SHR-SED group and BFRT group (all miRNAs).
Published 2025Subjects: -
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Histogram of the GO functional enrichment of differential miRNA target genes.
Published 2025Subjects: -
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Changes in SHR body weight, hemodynamics and cardiac function before and after training.
Published 2025Subjects: -
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Characteristics of households participating in the SchistoBreak study in Pemba, Tanzania.
Published 2025Subjects: -
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Split structural models for belief.
Published 2024“…More conservative political views and higher income correlated with decreased hesitancy. No other latent variables or covariates had a significant effect on vaccine hesitancy. …”
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Data source and description.
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. …”