Image 2_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

“…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”

Image 3_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

“…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”

Image 1_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

“…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”

Image 4_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

“…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”

IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

CICID2017 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

Shows the basic architecture of an autoencoder. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

Architecture of deep neural networks. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

Proposed model framework. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

WUSTL-EHMS-2020 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

“…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”

Table1_Comparative efficacy of different exercise modalities on metabolic profiles and liver functions in non-alcoholic fatty liver disease: a network meta-analysis.docx by Mingming Huang (1802023)

“…The network meta-analysis revealed that aerobic exercise was the most effective intervention for improving BMI in patients with NAFLD, demonstrating a significant decrease in BMI (−0.72, 95%CI: −0.98 to −0.46; p < 0.05; Surface Under the Cumulative Ranking (SUCRA) = 79.8%). …”

Table2_Comparative efficacy of different exercise modalities on metabolic profiles and liver functions in non-alcoholic fatty liver disease: a network meta-analysis.docx by Mingming Huang (1802023)

“…The network meta-analysis revealed that aerobic exercise was the most effective intervention for improving BMI in patients with NAFLD, demonstrating a significant decrease in BMI (−0.72, 95%CI: −0.98 to −0.46; p < 0.05; Surface Under the Cumulative Ranking (SUCRA) = 79.8%). …”

Table_1_Outcomes of retroperitoneal fibrosis-related hydronephrosis and its risk factors for poor prognosis: a multi-center retrospective cohort study in Chinese patients.DOCX by figshare admin frontiersin (4545187)

“…Hydronephrosis is a common complication of RPF, however, its clinical features and outcomes have not been well elucidated.…”

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

The source code of LazyAct. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Visualization on SMAC-25m based on <i>LazyAct</i>. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”