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significantly better » significantly greater (Expand Search), significantly higher (Expand Search), significantly lower (Expand Search)
significantly small » significantly smaller (Expand Search), significantly impact (Expand Search), significantly impair (Expand Search)
better decrease » greater decrease (Expand Search), teer decrease (Expand Search), between decreased (Expand Search)
small decrease » small increased (Expand Search)
significantly better » significantly greater (Expand Search), significantly higher (Expand Search), significantly lower (Expand Search)
significantly small » significantly smaller (Expand Search), significantly impact (Expand Search), significantly impair (Expand Search)
better decrease » greater decrease (Expand Search), teer decrease (Expand Search), between decreased (Expand Search)
small decrease » small increased (Expand Search)
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1161
Fully chemistry analysis of silicate.
Published 2025“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”
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1162
The dielectric constant <i>D</i> of the solution.
Published 2025“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”
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1163
Grading curve of the Ningming Bentonite.
Published 2025“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”
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1164
Basic situation of different vegetation types.
Published 2025“…Results showed that the different vegetation restoration types significantly influenced SOC stocks (<i>P</i> < 0.05), and the concentrations and stocks of SOC and LOCFs decreased with increasing soil depth in different vegetation types, except for MBC in BF and CFF. …”
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1165
Reconciliation services product value analysis.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1166
Means of sampling data in the Shibing study area.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1167
Technology roadmap.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1168
Zunhua study area factor rotation results.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1169
Value of ecological products in the study area.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1170
Means of sampling data in the Zunhua study area.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1171
Flowchart of the study population.
Published 2025“…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”
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1172
Characteristics of study population.
Published 2025“…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”
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1173
RFAConv working principle.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1174
PConv working principle.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1175
Improvement of SPPF to SPPF-R process.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1176
PR comparison on RSOD dataset.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1177
Ablation study on the RSOD dataset.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1178
Structure and working principle of LI-YOLOv8.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1179
C2f-E improvement process.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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1180
Structure of Detect and GP-Detect.
Published 2025“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”