Search alternatives:
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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dsRNA knockdown of putative tsetse serpins results in decreased trypanosome prevalence in the tsetse midgut.
Published 2015“…A degree of cross-reactivity was observed with two genes, with knockdown of <i>GmmSRPN9</i> leading to a significant decrease in transcript level of two other serpins (<i>GmmSRPN5</i> and <i>GmmSRPN10</i>) and knockdown of <i>GmmSRPN3</i> leading to a significant increase in <i>GmmSRPN9</i>. …”
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Long-term treatment with rapamycin results in decrease in progenitor cells.
Published 2015“…Quantitative calculation of DCX-positive cells per field in different groups. Rats treated with 1.0 and 3.0 mg/kg rapamycin demonstrated decrease in DCX-positive cells. …”
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573
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574
A flow diagram of the study entry.
Published 2025“…Criteria included: at least six months’ residency before death, ability to eat orally during the study period, and death within the facility. We created a time-series dataset for 69 participants, documenting their average weekly food intake (on a scale of 0-10). …”
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575
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Comparison of the three attention steps.
Published 2024“…The proposed network reduces the number of floating-point computations by 1.0 G and the number of parameters by 0.16 M. Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
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