DataSheet_3_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_4_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

IKKε interacts with PML and disrupts the PML nuclear bodies. by Xiaoqian Wang (460263)

Semen analysis raw data. by Jiatong Xiao (15344134)

“…During the acute phase after infection, the proportion of erectile dysfunction was significantly higher than before infection, but ejaculatory function was not significantly altered; In addition, semen analysis showed significant difference in semen concentration, semen activity and PR a+b sperm forward movement after infection compared to pre-infection.: COVID-19 Omicron can affect erectile function as well as sexual experience in male patients in the acute phase. …”

The original data of survey. by Jiatong Xiao (15344134)

“…During the acute phase after infection, the proportion of erectile dysfunction was significantly higher than before infection, but ejaculatory function was not significantly altered; In addition, semen analysis showed significant difference in semen concentration, semen activity and PR a+b sperm forward movement after infection compared to pre-infection.: COVID-19 Omicron can affect erectile function as well as sexual experience in male patients in the acute phase. …”

Jitter plot illustrating the distribution of three racial groups across varying rural percentages. by Michael Bradfield (3540005)

Certainty of affect predicted by positive and negative valence. by Anthony G. Vaccaro (5964368)

Contribution of individual models to the ensemble performance on the Lazzarotto <i>et al</i>. (2020) GUIDE-seq dataset. by Kai Kimata (22608153)

Acoustic Startle at 28 dpf. by Morgan Barnes (7876373)

“…(C) There is a significant decrease of PPI in the 48+ and 72 + fish (p < 0.0001). …”

Sequence composition analysis identifies distinct A + U and C + G base frequencies within subregions of mRNA transcripts – with effects on protein coding potential. by Benjamin S. Pickard (21276556)

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. …”