Search alternatives:
significant correlation » significantly correlated (Expand Search)
correlation degree » correlation between (Expand Search), coordination degree (Expand Search), correlation scores (Expand Search)
significant mean » significant main (Expand Search), significant gap (Expand Search), significant degs (Expand Search)
mean decrease » a decrease (Expand Search)
significant correlation » significantly correlated (Expand Search)
correlation degree » correlation between (Expand Search), coordination degree (Expand Search), correlation scores (Expand Search)
significant mean » significant main (Expand Search), significant gap (Expand Search), significant degs (Expand Search)
mean decrease » a decrease (Expand Search)
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Originally developed disturbance-loading system.
Published 2024“…The lateral head sway was significantly larger in the older participants (1.13±0.7 m/s<sup>2</sup>) than in the younger individuals (0.54±0.3 m/s<sup>2</sup>); whereas, the angle displacement (older -14.1±7.1 degree, young -8.3±4.5 degree) and angular velocity (older 9.9±6.6 degree/s, 41.2±27.7 degree/s) of the head were significantly lower in the older than in the younger participants. …”
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Data for graphs (representative values).
Published 2024“…The lateral head sway was significantly larger in the older participants (1.13±0.7 m/s<sup>2</sup>) than in the younger individuals (0.54±0.3 m/s<sup>2</sup>); whereas, the angle displacement (older -14.1±7.1 degree, young -8.3±4.5 degree) and angular velocity (older 9.9±6.6 degree/s, 41.2±27.7 degree/s) of the head were significantly lower in the older than in the younger participants. …”
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Transcripts with increased translation efficiency during GSC to DGC transition have a significant loss in m6A methylation.
Published 2021“…Change in TE rank obtained by measuring degree of change in TE of individual transcripts between their respective GSC and DGC state and then ranking the transcripts accordingly (ranges from highest rank: greatest increase in TE with transition; to lowest rank: most decrease in TE). …”
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Data Sheet 1_Characteristics of cardiopulmonary exercise capacity in adults with different degrees of obesity.pdf
Published 2025“…Single factor analysis of variance was used to compare the mean of each index between groups. Spearman correlation analysis was used to analyze the correlation between BMI and various indicators.…”
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Data_GDP/ Ndvi.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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Flow chart of the study.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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Example of manual identification.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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Data_soil.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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Data_road.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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Excel_ESs and transfer matrix.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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Data sources and descriptions.
Published 2025“…Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”