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largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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1121
Image1_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.tif
Published 2024“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”
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1122
Table2_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.xlsx
Published 2024“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”
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1123
Table3_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.docx
Published 2024“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”
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1124
Table1_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.xlsx
Published 2024“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”
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1125
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1126
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1127
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1128
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1129
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1130
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1131
The technical route of the study.
Published 2025“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
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1132
Point cloud fusion instance effect.
Published 2025“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
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1133
Experimental results in the SubT-MRS dataset.
Published 2025“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
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1134
Univariate analyses.
Published 2025“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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1135
Overview of individuals in the study.
Published 2025“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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1136
Multivariate analyses.
Published 2025“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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1137
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1138
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1139
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1140