S2 Data - by Dwight D. Harris (14484648)

“…Trichrome stain demonstrated a significant decrease in perivascular and interstitial fibrosis in the SIT group relative to CON (all p<0.05). …”

S1 Data - by Dwight D. Harris (14484648)

“…Trichrome stain demonstrated a significant decrease in perivascular and interstitial fibrosis in the SIT group relative to CON (all p<0.05). …”

S4 Data - by Dwight D. Harris (14484648)

“…Trichrome stain demonstrated a significant decrease in perivascular and interstitial fibrosis in the SIT group relative to CON (all p<0.05). …”

Sensitivity analysis. by Jiuming Li (11711375)

“…Logistic regression models were employed to analyze the association between TTP and exclusive breastfeeding.</p><p>Results</p><p>A total of 535 pregnant women were initially included in the study cohort and 478(89.35%) completed the follow-up, among 79 (16.5%) in the prolonged TTP group, and the rest in the short TTP group (n = 399, 83.5%). …”

Characteristics of participants. by Jiuming Li (11711375)

“…Logistic regression models were employed to analyze the association between TTP and exclusive breastfeeding.</p><p>Results</p><p>A total of 535 pregnant women were initially included in the study cohort and 478(89.35%) completed the follow-up, among 79 (16.5%) in the prolonged TTP group, and the rest in the short TTP group (n = 399, 83.5%). …”

Participant Flowchart. by Jiuming Li (11711375)

“…Logistic regression models were employed to analyze the association between TTP and exclusive breastfeeding.</p><p>Results</p><p>A total of 535 pregnant women were initially included in the study cohort and 478(89.35%) completed the follow-up, among 79 (16.5%) in the prolonged TTP group, and the rest in the short TTP group (n = 399, 83.5%). …”

Stratified analyses. by Jiuming Li (11711375)

“…Logistic regression models were employed to analyze the association between TTP and exclusive breastfeeding.</p><p>Results</p><p>A total of 535 pregnant women were initially included in the study cohort and 478(89.35%) completed the follow-up, among 79 (16.5%) in the prolonged TTP group, and the rest in the short TTP group (n = 399, 83.5%). …”

Zebrafish PGRP5 exhibits differential expression characteristics under different bacterial stimuli. by Xi Li (19208)

Table_1_Effectiveness of Improved Use of Chewing Gum During Capsule Endoscopy in Decreasing Gastric Transit Time: A Prospective Randomized Controlled Study.XLS by Liang Huang (114017)

“…<p>Background/Aim: Chewing gum throughout small bowel capsule endoscopy (SBCE) increases completion rates (CRs) but decreases small bowel transit time (SBTT) and diagnostic yield (DY). …”

Table_1_Effectiveness of Improved Use of Chewing Gum During Capsule Endoscopy in Decreasing Gastric Transit Time: A Prospective Randomized Controlled Study.XLS by Liang Huang (114017)

“…<p>Background/Aim: Chewing gum throughout small bowel capsule endoscopy (SBCE) increases completion rates (CRs) but decreases small bowel transit time (SBTT) and diagnostic yield (DY). …”

Table_1_When and Why Did Human Brains Decrease in Size? A New Change-Point Analysis and Insights From Brain Evolution in Ants.XLSX by Jeremy M. DeSilva (7247009)

“…<p>Human brain size nearly quadrupled in the six million years since Homo last shared a common ancestor with chimpanzees, but human brains are thought to have decreased in volume since the end of the last Ice Age. …”

Data from Queiroz et al Ant diversity decreases during the dry season: a meta-analysis of the effects of seasonality on ant richness and abundance.xlsx by Antonio Queiroz (12529531)

Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

“…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”

Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

“…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”

Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

“…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”

Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

“…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”

Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

“…A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”

A nonsense mutation in <i>anmK</i> contributes to decreased growth of AC811 in Arabidopsis leaves. by Megan R. O’Malley (7485323)

Expression of <i>uvrC</i> is decreased in AC811 but not in Δ<i>gacA</i>-1. by Megan R. O’Malley (7485323)

Mean scores and 95% CIs according to SARS-CoV-2 infection status and work-related determinants. by A. H. Ayesha Lavell (16734002)