Significant condition. by Junxia Zhou (14381598)

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Results of significance for regression factors. by Junxia Zhou (14381598)

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Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Increased NFKB2⁺ cells and decreased ACADM⁺ and ANGPTL4⁺ cells were observed in KIRC tissues. by Yu Zhang (12946)

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Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC. by Sara Hijazi (21656615)

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The top 20 candidate drugs demonstrating the most significant sensitivity differences between high- and low-GSRS subjects. by Yu Zhang (12946)

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Parameter setting table. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Data set. by Belachew Tekleyohannes Wogayehu (19470257)

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Degeneration Saline group presented with significant decreased final weight in relation to other groups. by Flavia Gomes Velasque Gama (21175112)

Spatial transcriptomics analysis of NFKB2, HSD11B1, and GR in KIRC tissues. by Yu Zhang (12946)

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Spatial transcriptomics analysis indicated the association of GSRS with CD8⁺ T cell infiltration and TEX in KIRC samples. by Yu Zhang (12946)

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ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”

Schematic overview of the study workflow. by Yu Zhang (12946)

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Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

Analysis of Significantly Different Bacteria. by Xu Jia (187142)

Testing set error. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)