Unsupervised clustering of TCGA-KIRC subjects based on glucocorticoid signaling-related genes. by Yu Zhang (12946)

IRE1 depletion downregulates multiple cell cycle proteins in synchronized cells. by Iratxe Zuazo-Gaztelu (21071939)

Impact of solar radiation power on temperature field. by Guoli Li (291427)

Flowchart of analysis. by Fanqiang Meng (4786071)

“…Migration didn’t make a big difference but caused a greater financial burden. …”

Fig 1B raw image. by Rachel K. Meade (22216529)

“…<i><i>Ctsz</i></i> disturbance within murine macrophages enhances production of chemokine (C-X-C motif) ligand 1 (CXCL1), a known biomarker of TB severity. From a Ugandan household contact study, we identify significant associations between <i>CTSZ</i> variants and TB disease severity. …”

Survey sample distribution. by Yin Liu (50073)

“…The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a ‘raising the low ‘ effect. …”

An exemplary case one year after open wedge high tibial osteotomy (OWHTO) for right knee osteoarthritis. by Yusuke Fuchioka (22806178)

Variable definition and descriptive statistics. by Yin Liu (50073)

“…The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a ‘raising the low ‘ effect. …”

Robustness test. by Yin Liu (50073)

“…The results show that: (1) Based on the counterfactual hypothesis, if the farmers who obtain microcredit for poverty-alleviated population are not loaned, their production and operating income will decrease by 3.31%, that is, microcredit has a significant income-increasing effect, and the income-increasing effect of obtaining microcredit for the poverty-alleviated population on the monitoring objects is greater than the households that have lifted out of poverty. (2) The mechanism of action shows that the microcredit policy for the poverty- alleviated population promotes income increase by promoting farmers to increase material capital investment and social capital investment. (3) The income-increasing effect of obtain microcredit for poverty-alleviated population on the low-income initial endowment farmers is greater than that on high-income initial endowment farmers, and farmers with low-land initial endowment have a higher income increase effect, that is, a ‘raising the low ‘ effect. …”

Overview of selected datasets. by Tejaswini Baral (14320736)

“…Moreover, geographical location exerts a more significant impact on microbial diversity than the disease state in a specific location, highlighting the potential for precision medicine to tailor interventions based on individual or regional microbiome characteristics.…”

Differential expression of glucocorticoid signaling-related genes between paracarcinoma and KIRC tissues in the TCGA-KIRC cohort. by Yu Zhang (12946)

Differences in microbial functions among groups in pathways of KEGG. by Xueyan Lin (448667)

Endogenous IRE1 protein can localize to the nuclear envelope. by Iratxe Zuazo-Gaztelu (21071939)

Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race. by Tony Wong (779773)

Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

LEfSe Analysis. by Tejaswini Baral (14320736)

Clinicopathological associations of GSRS. by Yu Zhang (12946)

Male-to-female ratios of yearly crude rates. by Tony Wong (779773)

Yearly crude rates stratified by age from 1999 to 2024 and by race from 1999 to 2020. by Tony Wong (779773)

Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)