Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significantly impact » significant impact (Expand Search), significantly improve (Expand Search), significantly improved (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significantly impact » significant impact (Expand Search), significantly improve (Expand Search), significantly improved (Expand Search)
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3221
Mapping of transposon insertions in the selected mutants of <i>M</i>. <i>bovis</i> PG45.
Published 2024Subjects: -
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3225
Data of soil response to nitrogen deposition.xlsx
Published 2024“…Chemical fertilizer use, fossil fuel combustion, and industrial activities have significantly increased nitrogen deposition. Despite significant research on soil, studies addressing soil acidification under different nitrogen and soil conditions remain limited. …”
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Example of sample data.
Published 2025“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”
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3229
Structure of BPNN.
Published 2025“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”
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3230
The workflow of EGA-BPNN.
Published 2025“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”
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3231
S1 Data -
Published 2025“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”
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3232
Algorithm flow of the GA-BPNN model.
Published 2025“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”
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3233
Modeling method used.
Published 2025“…The most influential variables for predicting larval presence were the mean of Normalized Difference Vegetation Index (NDVI), texture indices from both NDVI, brightness index (BI), and the panchromatic image. Urban vegetation significantly influences larval presence, although higher vegetation index values correlate with a decreased probability of larval occurrence. …”
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3240