Table 2_Oxphos targeting of MYCN-amplified neuroblastoma.xlsx by Soraya Epp (22489120)

“…Similarly to DPI, MitoQ appears to have a greater effect on cells with higher MYCN levels. Furthermore, low nanomolar concentrations of MitoQ significantly decrease MYCN protein expression and induce differentiation of MNA cells. …”

Table 1_Oxphos targeting of MYCN-amplified neuroblastoma.xlsx by Soraya Epp (22489120)

“…Similarly to DPI, MitoQ appears to have a greater effect on cells with higher MYCN levels. Furthermore, low nanomolar concentrations of MitoQ significantly decrease MYCN protein expression and induce differentiation of MNA cells. …”

Data Sheet 1_Oxphos targeting of MYCN-amplified neuroblastoma.pdf by Soraya Epp (22489120)

“…Similarly to DPI, MitoQ appears to have a greater effect on cells with higher MYCN levels. Furthermore, low nanomolar concentrations of MitoQ significantly decrease MYCN protein expression and induce differentiation of MNA cells. …”

Bouquin et al. - High variability in the reproducibility of key hemodynamic responses to head-up tilt by Heidi Bouquin (17563521)

“…<p dir="ltr">Increased blood pressure upon standing is considered a cardiovascular risk factor. We investigated the reproducibility of changes in aortic blood pressure, heart rate, stroke volume, cardiac output, and systemic vascular resistance during three passive head-up tilts (HUT) in 223 participants without cardiovascular medications (mean age 46 years, BMI 28 kg/m2, 54% male). …”

High variability in the reproducibility of key hemodynamic responses to head-up tilt by Heidi Bouquin (17563521)

“…<p dir="ltr">Increased blood pressure upon standing is considered a cardiovascular risk factor. We investigated the reproducibility of changes in aortic blood pressure, heart rate, stroke volume, cardiac output, and systemic vascular resistance during three passive head-up tilts (HUT) in 223 participants without cardiovascular medications (mean age 46 years, BMI 28 kg/m2, 54% male). …”

Bouquin et al. - High variability in the reproducibility of key hemodynamic responses to head-up tilt by Heidi Bouquin (17563521)

“…<p dir="ltr">Increased blood pressure upon standing is considered a cardiovascular risk factor. We investigated the reproducibility of changes in aortic blood pressure, heart rate, stroke volume, cardiac output, and systemic vascular resistance during three passive head-up tilts (HUT) in 223 participants without cardiovascular medications (mean age 46 years, BMI 28 kg/m2, 54% male). …”

Bouquin et al. - High variability in the reproducibility of key hemodynamic responses to head-up tilt by Heidi Bouquin (17563521)

“…<p dir="ltr">Increased blood pressure upon standing is considered a cardiovascular risk factor. We investigated the reproducibility of changes in aortic blood pressure, heart rate, stroke volume, cardiac output, and systemic vascular resistance during three passive head-up tilts (HUT) in 223 participants without cardiovascular medications (mean age 46 years, BMI 28 kg/m2, 54% male). …”

Mapping the properties of cells in relation to their local neighborhood. by Matthew French (13007466)

“…<b>D:</b> Heightened TBXT and TBX6 CV to the NMP region and decreases into the mesodermal PS. Lines indicate the fit of a non-parametric multiple regression curve and shading indicates 0.05 and 0.95 confidence intervals calculated as (mean ± 1.96 * (<i>σ</i>/(√<i>n</i>)). …”

Supplementary tables: Assessing healthcare resource utilization burden and unmet treatment needs in patients with Parkinson’s disease: results from a real-world study by Malgorzata Ciepielewska (22143499)

“…The intermediate versus early group had a significantly greater proportion of patients with unmet treatment needs (p < 0.001), e.g., slowing disease progression, providing neuroprotection. …”

Supplementary data: Assessing healthcare resource utilization burden and unmet treatment needs in patients with Parkinson’s disease: results from a real-world study by Malgorzata Ciepielewska (22143499)

“…The intermediate versus early group had a significantly greater proportion of patients with unmet treatment needs (p < 0.001), e.g., slowing disease progression, providing neuroprotection. …”

Data from "A Historical Misstep: Niche Shift to Specialisation Is Pushing Insular Ginger Towards an Evolutionary Dead End" by Min-Wei Chai (15899033)

“…<i>Z. shuanglongense</i>, as the specialist, despite an initial increase during the Last Glacial Maximum (~22 Kya), has been subjected to a long-term decrease in effective population size (<i>Ne</i>), while <i>Z. pleiostachyum</i> is on the contrary increasing, leading to a significantly larger current <i>Ne</i>. …”

Supplementary Material for: The impact of laparoscopic cystectomy for ovarian endometrioma on anti-Mullerian hormone levels: a systematic review and meta-analysis by figshare admin karger (2628495)

“…Primary outcomes showed a statistically significant (P < 0.001) decrease in anti-Müllerian hormone in the postoperative short-term period [-1.39 ng/mL, 95% CI, -2.01- (-0.76)], medium term period [-1.13 ng/mL (95% CI, -1.4- (-0.87)], and long term [-2.12 ng/mL (95% CI, -2.61- (-1.63)]. …”

Table 2_Improved quality of life in head and neck cancer patients treated with modern arc radiotherapy techniques – A prospective longitudinal analysis.docx by Eva Yu-Hsuan Chuang (19724116)

“…Moreover, patients who participated in swallowing rehabilitation programs had a greater decrease in nausea and vomiting (p=0.036).…”

Table 1_Improved quality of life in head and neck cancer patients treated with modern arc radiotherapy techniques – A prospective longitudinal analysis.docx by Eva Yu-Hsuan Chuang (19724116)

“…Moreover, patients who participated in swallowing rehabilitation programs had a greater decrease in nausea and vomiting (p=0.036).…”

Table 6_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”

Table 2_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”

Table 3_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”

Table 1_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”

Table 4_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”

Data Sheet 1_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.docx by Chengli Yu (1445185)

“…</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”