Search alternatives:
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
gap decrease » gain decreased (Expand Search), mean decrease (Expand Search), step 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)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
gap decrease » gain decreased (Expand Search), mean decrease (Expand Search), step 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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1401
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1402
S1 File -
Published 2025“…Despite the prevalence and severity of sleep disturbances during opioid withdrawal, there is a gap in our understanding of their interactions. …”
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1403
Absolute β convergence results.
Published 2025“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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1404
Conditional β convergence results.
Published 2025“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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1405
Markov transition probability matrix (k = 4).
Published 2025“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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1406
Markov transition probability matrix (k = 4).
Published 2025“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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1407
Regression results.
Published 2025“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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1408
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1409
SHAP dependence plots with interaction coloring.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1410
Screening process diagram.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1411
SHAP waterfall plot.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1412
SHAP decision plot.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1413
LASSO regression visualization plot.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1414
SHAP dependence plots.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1415
Tertile stratified subgroup analysis.
Published 2025“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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1416
Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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1417
Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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1418
Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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1419
Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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1420
Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
Published 2025“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”