Analysis of subgroups. by Da Huang (1306407)

“…Normally presenting with symptoms such as dyspnea, decreased exercise tolerance, decreased maximal heart rate, and decreased arterial oxygen saturation. …”

BMI groups by SES. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Diagram of study population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Data Sheet 1_Impact of multiple environmental factors on influenza–like illness in Fujian Province, China, 2015–2023: a multicity study.zip by Xiaoyan Yao (8723622)

“…Introduction<p>Influenza-like illness (ILI) represents a significant global public health challenge influenced by environmental factors. …”

Supplementary file 1_Mechanical properties of 3D voxel-printed materials for cardiovascular tissue imitation.docx by Joël Illi (21449474)

“…These resulted in slightly flatter (more linear) stress–strain curves compared to the non-linear strain-softening behavior observed in Agilus30 Clear. …”

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…The preoperative IOP was 15.06 ± 3.51 mmHg and significantly reduced to 12.22 ± 2.23 mmHg at 3 months and 12.99 ± 2.45 mmHg at 12 months. …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…The preoperative IOP was 15.06 ± 3.51 mmHg and significantly reduced to 12.22 ± 2.23 mmHg at 3 months and 12.99 ± 2.45 mmHg at 12 months. …”

(A-H). Case 1: primary subcutaneous facial alveolar echinococcosis. by Louis Bohard (22250661)

Table 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx by Haiyan Yu (356393)

“…For men, risk for new-onset diabetes decreased significantly with increasing sleep duration only among participants < 60 years. …”

Data Sheet 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx by Haiyan Yu (356393)

“…For men, risk for new-onset diabetes decreased significantly with increasing sleep duration only among participants < 60 years. …”

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)