Marginal epistasis tests identify single nucleotide polymorphisms (SNPs) that have epistatic interactions with others and are associated with the changes in viral copies. by Ke Li (106849)

GWAS analysis using Cluster 2 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 only Cluster 1 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 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. …”

Table 1_Quantifying the effect of air pollution and temperature on hospitalization costs for chronic lower respiratory diseases.docx by Huanhuan Jia (2546878)

“…With respect to temperature, the hospitalization costs of people aged 60 and above increased by 8.70% on low-temperature days, and the exposure response ratio from lag day 0 to lag day 5 showed a statistically significant gradual decrease. Additionally, on lag days 5 and 11, the hospitalization costs of female patients with CLRDs increased by 3.35 and 3.92%, respectively.…”

Supplementary file 1_Influence of attentional state on EEG-based motor imagery of lower limb.docx by Penghai Li (19823646)

“…</p>Conclusion<p>This study reveals that attentional states significantly influence the neural efficiency of lower-limb motor imagery by modulating ERD/AMI and demonstrates that the TBR can serve as a real-time indicator of attention, providing a novel tool for optimizing attentional processes in motor skill training.…”

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. …”