Basic characteristics of the observations. by Linni Gu (13886921)

“…<div><p>Background</p><p>Academic performance serves as a crucial indicator for evaluating adolescents’ educational outcomes in China, which prompting parents and schools to place significant emphasis on students’ academic achievements. …”

Characteristics of the study participants. by Michał Wendt (17601180)

“…A significant time effect was also observed for PPT, with an increase in the right-side threshold (p = 0.0186; d = 0.58). …”

The funnel plot of mortality rate. by Lei Wang (6656)

“…Furthermore, one week or more following surgery, administration of high-dose intravenous iron resulted in a significant increase in postoperative hemoglobin levels (mean difference 0.71, 95% CI 0.41 to 1.01, P < 0.00001, n = 907, I² = 63%, certainty of evidence: moderate). …”

General Characteristics of the Included Studies. by Lei Wang (6656)

“…Furthermore, one week or more following surgery, administration of high-dose intravenous iron resulted in a significant increase in postoperative hemoglobin levels (mean difference 0.71, 95% CI 0.41 to 1.01, P < 0.00001, n = 907, I² = 63%, certainty of evidence: moderate). …”

Tissue-specific expression of splice variants diversifying the LR2 region of Calcineurin A/TAX-6 in <i>C. elegans.</i> by Martina Rudgalvyte (22320301)

Trends of HIV/AIDS in Ethiopia (1990-2021). by Tegene Atamenta Kitaw (17930374)

“…Statistical analyses included Joinpoint regression to identify trend shifts and calculate the Annual and Average Annual Percentage Change over time, with significance determined at a p-value of 0.05. Geographic variations were visualized using ArcGIS Pro, highlighting regions with varying HIV burdens. …”

Table_1_The influence of multivitamins on neurological and growth disorders: a cross-sectional study.DOCX by Jiaxiao Zhu (19739362)

“…In addition, the inverse association but not statistically significant was observed between multivitamins and growth disorders, particularly growth retardation revealed a negative association, and some individual growth disorders revealed positive associations including obesity and malnutrition.…”

Longitudinal changes in the lacrimal gland (LG) volume of patients with IgG4-related ophthalmic disease. by Min Kyu Yang (12306485)

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. …”

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. …”