SPIRIT schedule: Timeline of recruitment and assessment. <i>t</i>₀: Daily screening; <i>t</i>₁: Between the 3^rd and 10^th day of ICU admi... by Cristobal Padilla-Fortunatti (21376807)

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Variables and generalized linear mixed models to explore PICS-F impairments. by Cristobal Padilla-Fortunatti (21376807)

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Percentage of positive responses to overall satisfaction 2011/12 by A) Age and sex B) SIMD decile C) Number of Health Issues and D) Urban/Rural Class. by David Henderson (4612354)

Percentage of positive responses to access question 2011/12 by A) Age and sex B) SIMD decile C) Number of Health Issues and D) Urban/Rural Class. by David Henderson (4612354)

Correlation between protein abundances and R_5-20 z-score among cases at baseline. Protein abundances, normalized to mean 0 and variance 1, are displayed on the y-axis. (... by Spela Kokelj (8356644)

AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

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Logistic regression analysis to predict the efficacy for liver function. by Naruyoshi Gyoutoku (22537831)

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Comparison in baseline variables between efficacy group and non-efficacy group. by Naruyoshi Gyoutoku (22537831)

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Comparison of ALT (A), AST (B), and Fib-4 index (C) before and after imeglimin treatment in ALT ≥ 25 IU/L and ALT < 25IU/L groups. by Naruyoshi Gyoutoku (22537831)

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Clinical characteristics at baseline and at the end of the study. by Naruyoshi Gyoutoku (22537831)

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Multi-organ differential gene expression changes statistically significant at hypertension onset. by Eden Hornung (20148295)

“…<i>Tgfb1</i> is significantly decreased in male SHR kidney compared to female at 16 weeks of age (p = 0.004). …”

Femoral trochlear 3D-MRI before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

Patellar 3D-MRI before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

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. …”

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. …”

Coal mine fire area sampling data. (a) temperature, (b) humidity, (c) total nitrogen, (d) total phosphorus, and (e) available potassium (Republished from Desheng Xie under a CC BY... by Desheng Xie (21439869)

LEfSe Analysis. by Tejaswini Baral (14320736)

Bluetooth beacons with colour coded lanyards. by J Mark Ansermino (13958512)

“…At both intervention sites, there was a significant reduction in antimicrobial utilization of 47% (Kenya) and 33% (Uganda) compared to baseline. …”

A Comparison of Pediatric Prehospital Opioid Encounters and Social Vulnerability by Stephen Sandelich (19991783)

“…The analysis demonstrated that as socioeconomic status (SES) improves, the likelihood of opioid-related activations increases significantly supported by a significant negative linear trend (Estimate = −0.2971, SE = 0.1172, z = −2.54, <i>p</i> = 0.0112. …”