Search alternatives:
significantly largest » significantly larger (Expand Search), significantly less (Expand Search), significantly affect (Expand Search)
smaller decrease » marked decrease (Expand Search), smaller areas (Expand Search), larger decrease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
small decrease » small increased (Expand Search)
significantly largest » significantly larger (Expand Search), significantly less (Expand Search), significantly affect (Expand Search)
smaller decrease » marked decrease (Expand Search), smaller areas (Expand Search), larger decrease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
small decrease » small increased (Expand Search)
-
1581
Table of dataset division.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1582
Striking image.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1583
Precision, recall, F1-Score curve.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1584
Model comparison experimental results.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1585
Slicing aided hyper inference algorithm.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1586
Improved YOLOv10 network structure.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1587
Loss function variation curve.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1588
Sex and tissue-specificity of piRNA regulation in adult mice following perinatal lead (Pb) exposure
Published 2024“…Piwi-interacting RNAs (piRNAs) are small non-coding RNAs that associate with PIWIL proteins to induce DNA methylation. …”
-
1589
Different model detection results comparison.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1590
Inner-IoU.
Published 2025“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
-
1591
Table 1_Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis.docx
Published 2025“…The multivariate model was significant (F(11,1881) = 20.85, p <.00001, adjusted R<sup>2</sup> = 0.10) and showed significant year by sex interaction (p = .021) and year by occupation interaction (p = .023) on alcohol consumption.…”
-
1592
Presentation 1_Genomic analysis, culturing optimization, and characterization of Escherichia bacteriophage OSYSP, previously studied as effective pathogen control on fresh produce....
Published 2024“…For optimizing phage detection and quantification in the conventional plaque assay, it was observed that decreasing the concentration of agar or agarose, when used as a medium gelling agent, increased phage recovery (p < 0.05), but using agarose resulted in smaller plaque diameters (p < 0.05). …”
-
1593
Data Sheet 1_GBD: incidence rates and prevalence of anxiety disorders, depression and schizophrenia in countries with different SDI levels, 1990–2021.pdf
Published 2025“…</p>Results<p>In countries with different SDI levels, the age-standardized average annual percentage change (AAPC) in the incidence of anxiety were all shown to be increasing, and there were large gender differences between the different SDI levels, with a maximum of 0.97 (0.76–1.18) for females in countries with a high SDI level, Age-standardized more rates per 100,000 people in high SDI countries, from 658.87 in 1990 to 841.56 in 2021, and the largest gender differences in countries with a low to moderate SDI level, with AAPCs for males and females of 0.04 (0.04–0.05), 0.86 (0.63–1.09); for depression, only the countries with medium-high SDI levels were statistically significant compared to the countries with medium-low SDI levels, with AAPCs of 0.05 (0.04–0.07), 0.04 (0.04–0.05); for schizophrenia in addition to the AAPCs of the countries with medium-high SDI levels showed an increase of 0.16 (0.13–0.18); the rest decreased.…”
-
1594
Image 2_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.jpeg
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”
-
1595
Table 1_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.docx
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”
-
1596
Image 1_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.jpeg
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”
-
1597
Table 7_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.docx
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”
-
1598
Table 6_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.docx
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”
-
1599
Table 2_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.docx
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”
-
1600
Table 4_Nusinersen for children with type I spinal muscular atrophy: 4 years’ clinical experience in Turkish cohort.docx
Published 2025“…CHOP-INTEND scores increased notably in all cohorts, with the largest improvement observed in Cohort A (93.5%). …”