GWAS analysis using Cluster 3 data (shown in S1 Fig). by Ke Li (106849)

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

GWAS analysis using Cluster 4 data (shown in S1 Fig). by Ke Li (106849)

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

Length distribution and condition factors <i>K</i> of <i>E. erythropterus</i> (A) before and (B) after the NRE opening. by Jeong-Soo Gim (18058588)

Distribution of zooplankton abundance by depth (A) before and (B) after and phytoplankton abundance by depth (C) before and (D) after the opening of the NRE. by Jeong-Soo Gim (18058588)

Graphical representation on the impact of native orientin and NF-orientin on the expression of VEGF-A and FGF2 mRNA isolated from the CAM. by Yashwanth Elumalai (21743452)

Computational Fluid Dynamics results for a parallel plate flow chamber based on FLUENT. by Xinyao Zhao (5824427)

A summary of the dogs used to detect sleep disturbances with PLUS CYCLE^®. by Akihiro Ohnishi (10989900)

The number of COVID-19 cases and deaths recorded in Mexico (a) and the number of tourist arrivals at the city of Mazatlan (b). by Francisco Flores-de-Santiago (20391063)

Screening Sheet: A sheet that contains the full screening process that we used to include or exclude any study. by Mohamed R. Abdelraouf (21501468)

Relative abundance (%) of the major endophytic bacterial phyla/classes identified in the leaves (A) and roots (B) of 29 accessions of <i>Synsepalum dulcificum</i> sampled in Benin. by Rabiath F. R. Adigoun (14189090)

Visual depiction of the relative abundance of the dominant endophytic bacterial taxa from the leaves (A) and roots (B) of <i>Synsepalum dulcificum</i> through Sankey diagrams. by Rabiath F. R. Adigoun (14189090)

Association between CAP value and carotid-femoral pulse wave velocity. by Johannes Nairz (18010746)

Subjects:

Parameter diagram for the pit portions on the surface of the test specimen (a) Total volume (b) Total surface area (c) Average depth (d) Cross-sectional area. by Yang Li (7082)

Parameter diagram for the raised portions on the surface of the test specimen (a) Total volume (b) Total surface area (c) Average height (d) Cross-sectional area. by Yang Li (7082)

Each subfigure shows a different local size (LS) and context size (CS) configuration, where the reliability of the model across different initializations is measured in R-squared. by Eloy Geenjaar (21533195)

“…<p>In most cases where both the local size and context size is small, the DSVAE model is significantly more reliable than the IDSVAE method. However, for a local size of 8, the IDSVAE method is significantly more reliable when the context sizes are 2 or 8. …”

Average ratio of the concentrations obtained with qPCR, before and after DNase treatment, and with DAO before DNase treatment of the ISP phage stocks. by Saar Van Overfelt (20378458)

Average concentration of the ISP phage stocks obtained with qPCR, before and after DNase treatment, and with the DAO method before the DNase treatment. by Saar Van Overfelt (20378458)

S1 File - by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Presentation 1_Decreased brain-derived neurotrophic factor expression in chronic kidney disease: integrated clinical and experimental evidence.pptx by Juan Chen (61123)

“…</p>Conclusion<p>This study integrated meta-analysis, murine model validation, and single-cell transcriptomic profiling to demonstrate a significant reduction of BDNF in CKD. Furthermore, renal BDNF expression decreased locally, predominantly originating from proximal tubule cells, macrophages, and podocytes, possibly epigenetically inhibited by the upregulation of lnc RNA Bdnf-as.…”

Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”