The results of endogenous analysis. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Correlation test. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

S1 Dataset - by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

The mediation of confidence. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Robustness test. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

The effects of consumption inequality on SWB. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Comparison of data after the experiment. by Neng Pan (5262032)

Baseline characteristics. by Neng Pan (5262032)

“…However, the body fat mass (BFM) and body mass index (BMI) decreased significantly in the ST group (p < 0.001 and p = 0.005, respectively). …”

Data ste. by Neng Pan (5262032)

“…However, the body fat mass (BFM) and body mass index (BMI) decreased significantly in the ST group (p < 0.001 and p = 0.005, respectively). …”

Comparison of post-experimental outcome measures. by Neng Pan (5262032)

“…However, the body fat mass (BFM) and body mass index (BMI) decreased significantly in the ST group (p < 0.001 and p = 0.005, respectively). …”

Characteristics of patients who continued working during the two WPAI surveys. by Ryota Naito (21492794)

Longitudinal changes in the lacrimal gland (LG) volume of patients with IgG4-related ophthalmic disease. by Min Kyu Yang (12306485)

A representative case demonstrating the sustained lacrimal gland volume reduction effect of intravenous methylprednisolone treatment. by Min Kyu Yang (12306485)

Effect of 1.25% of SCFP on MDR <i>Salmonella</i> serovars reduction at 24h. by Elena G. Olson (10649705)

S1 File - by Kathleen Kristensen (17525457)

“…</p><p>Results</p><p>Participants had significantly lower odds (AOR = 0.28; 95% CI 0.12–0.65) of reporting difficulty in accessing syringes later in the pandemic. …”

Chicago COVID-19 mitigation policy timeline. by Kathleen Kristensen (17525457)

“…</p><p>Results</p><p>Participants had significantly lower odds (AOR = 0.28; 95% CI 0.12–0.65) of reporting difficulty in accessing syringes later in the pandemic. …”

Demographic and ocular features. by Mingxi Shao (10066570)

“…</p><p>Results</p><p>In the PCG group, H₂O₂ and MDA levels were notably higher than in controls (p < 0.001, <i><i>p</i> </i>= 0.020), while TAS levels were significantly lower (p = 0.043). Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”

Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…</p><p>Results</p><p>In the PCG group, H₂O₂ and MDA levels were notably higher than in controls (p < 0.001, <i><i>p</i> </i>= 0.020), while TAS levels were significantly lower (p = 0.043). Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”

ROC curves of TAS + SOD + MDA to diagnose PCG. by Mingxi Shao (10066570)

“…</p><p>Results</p><p>In the PCG group, H₂O₂ and MDA levels were notably higher than in controls (p < 0.001, <i><i>p</i> </i>= 0.020), while TAS levels were significantly lower (p = 0.043). Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”

Top Panel: Representation of the input voltage signal in the time domain as applied to the proteinoid sample. by Panagiotis Mougkogiannis (17002143)