Comparison of body weight and food intake of rats in each group. by Shudan Liu (7049483)

Comparison of steroid hormone levels in rats in each group. by Shudan Liu (7049483)

Relative abundance of different intestinal flora of rats in each group at the genus level. by Shudan Liu (7049483)

The relative abundance of different microflora at intestinal portal level of rats in each group was different. by Shudan Liu (7049483)

Comparison of levels of inflammatory cytokines and LPS in each group. by Shudan Liu (7049483)

Determination of SCFA content in fecal stool and intestinal metabolites of rats in each group. by Shudan Liu (7049483)

Data Sheet 1_Previous COVID-19 infection significantly reduces elastase levels in newly diagnosed pulmonary tuberculosis patients.pdf by Nancy Hilda Joseph (21837314)

Metabolome data of the discovery cohort. by Feng Gao (3548)

“…The results showed that compared with HC, five metabolites, including DL-stachydrine, D-(+)-pipecolinic acid, furazolidone, L-arginine and 5α-dihydrotestosterone glucuronide were significantly elevated and one metabolite, prenylcysteine, was significantly decreased in the serum of OC, and that the increase in L-arginine and the decrease in prenylcysteine led to impaired urea cycling and a high risk of developing atherosclerosis, respectively. …”

The diagram of study area. by Zhendong Sun (4723221)

Mortality dataset used in analysis. by Samuel Sendagala (21417164)

“…<div><p>Background</p><p>Uganda reported a significant reduction in the mortality rate of children under 5 years of age, from 146/1,000 live births in 2000–42/1,000 live births in 2021. …”

Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

Metabolome KEGG enrichment analysis of serum in Omicron variant cases and recovered cases. by Feng Gao (3548)

The orthogonal projection to latent structure discriminant analysis (OPLS-DA) analysis of the three groups (OC vs HC, OC vs RC and RC vs HC) of the discovery cohort. by Feng Gao (3548)

Untargeted metabolomic profiling of sera from Omicron variant cases of the discovery cohort. by Feng Gao (3548)

Cox risk curve. by Zhendong Sun (4723221)

“…The study uses non-parametric and semi-parametric analysis methods in survival analysis to explore if and how weather conditions, parking tariffs, and temporal factors (weekdays, weekends, and short holidays) impact the parking duration. The parking data of a large commercial supermarket in Zhengzhou was collected over one month. …”

Weather factor dummy variable. by Zhendong Sun (4723221)

“…The study uses non-parametric and semi-parametric analysis methods in survival analysis to explore if and how weather conditions, parking tariffs, and temporal factors (weekdays, weekends, and short holidays) impact the parking duration. The parking data of a large commercial supermarket in Zhengzhou was collected over one month. …”

Day factor dummy variable. by Zhendong Sun (4723221)

“…The study uses non-parametric and semi-parametric analysis methods in survival analysis to explore if and how weather conditions, parking tariffs, and temporal factors (weekdays, weekends, and short holidays) impact the parking duration. The parking data of a large commercial supermarket in Zhengzhou was collected over one month. …”

Desensitized original data. by Zhendong Sun (4723221)

“…The study uses non-parametric and semi-parametric analysis methods in survival analysis to explore if and how weather conditions, parking tariffs, and temporal factors (weekdays, weekends, and short holidays) impact the parking duration. The parking data of a large commercial supermarket in Zhengzhou was collected over one month. …”

Cox survival function curve. by Zhendong Sun (4723221)

“…The study uses non-parametric and semi-parametric analysis methods in survival analysis to explore if and how weather conditions, parking tariffs, and temporal factors (weekdays, weekends, and short holidays) impact the parking duration. The parking data of a large commercial supermarket in Zhengzhou was collected over one month. …”