Supplementary file 2_Quantile regression application to identify key determinants of malnutrition in five West African countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria.... by Reshav Beni (21422981)

“…</p>Method<p>This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to facilitate focused policy measures and intervention strategies aimed at decreasing the prevalence.</p>Results<p>For the lower quantiles (0.1 and 0.25), which indicate severe malnutrition, significant variables included the child’s weight [quantile = 0.1, 95% CI(0.0063, 0.0103), quantile = 0.25, 95% CI(0.0054, 0.0107)], mother’s education level [No education: quantile = 0.1, 95% CI(−49.7471, −32.1376), quantile = 0.25, 95% CI(−38.1513, −22.4438) Primary: quantile = 0.1, 95% CI(−24.8095, −5.7693), quantile = 0.25, 95% CI(−19.5273, −6.3424) Higher: quantile = 0.1, 95% CI(5.6499, 40.3274), quantile = 0.25, 95% CI(21.8158, 40.278)], drinking water source [Natural Sources: quantile = 0.1, 95% CI(0.6877, 24.384),Piped: quantile = 0.1, 95% CI(25.578, 45.2368), quantile = 0.25, 95% CI(22.2782, 34.8212), Bottle/Sachet: quantile = 0.25, 95% CI(3.438, 98.1675)], toilet type [Flush: quantile = 0.25, 95% CI(2.2598, 18.3457),Other: quantile = 0.1, 95% CI(8.7863, 24.504), quantile = 0.25, 95% CI(7.0995, 20.1119)], household wealth index [Poorest: quantile = 0.1, 95% CI(−52.5112, −16.9197), quantile = 0.25, 95% CI(−48.3804, −23.0633),Poorer: quantile = 0.1, 95% CI(−38.8744, −4.7586), quantile = 0.25, 95% CI(−34.6993, −9.1766), Middle: quantile = 0.25, 95% CI(−28.9491, −6.5834)], health care visits [No: quantile = 0.1, 95% CI(−19.293, −3.6393), quantile = 0.25, 95% CI(−17.2342, −5.6411)], consumption of fortified foods and tubers [No: quantile = 0.1, 95% CI(−36.3898, −12.0378), quantile = 0.25, 95% CI(−17.8127, −1.2374)], anemia status [Anemic: quantile = 0.1, 95% CI(−15.9326, −1.1929), quantile = 0.25, 95% CI(−12.3361, −1.5516)], mosquito net usage [No: quantile = 0.1, 95% CI(−22.0323, −0.8033), quantile = 0.25, 95% CI(−13.8107, 1.1366)], child’s age [0 to 12 months: quantile = 0.1, 95% CI(81.6424, 105.7155), quantile = 0.25, 95% CI(61.4817, 78.5194),12 to 24 months: quantile = 0.1, 95% CI(0.5592, 24.933), 24 to 36 months: quantile = 0.1, 95% CI(7.9128, 40.2828)] and gender [Female: quantile = 0.1, 95% CI(4.5351, 17.9783), quantile = 0.25, 95% CI(5.0076, 15.4735)], and recent fever [No: quantile = 0.1, 95% CI(11.5663, 29.5984), quantile = 0.25, 95% CI(7.0313, 20.8918)]. …”

Supplementary file 1_Quantile regression application to identify key determinants of malnutrition in five West African countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria.... by Reshav Beni (21422981)

“…</p>Method<p>This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to facilitate focused policy measures and intervention strategies aimed at decreasing the prevalence.</p>Results<p>For the lower quantiles (0.1 and 0.25), which indicate severe malnutrition, significant variables included the child’s weight [quantile = 0.1, 95% CI(0.0063, 0.0103), quantile = 0.25, 95% CI(0.0054, 0.0107)], mother’s education level [No education: quantile = 0.1, 95% CI(−49.7471, −32.1376), quantile = 0.25, 95% CI(−38.1513, −22.4438) Primary: quantile = 0.1, 95% CI(−24.8095, −5.7693), quantile = 0.25, 95% CI(−19.5273, −6.3424) Higher: quantile = 0.1, 95% CI(5.6499, 40.3274), quantile = 0.25, 95% CI(21.8158, 40.278)], drinking water source [Natural Sources: quantile = 0.1, 95% CI(0.6877, 24.384),Piped: quantile = 0.1, 95% CI(25.578, 45.2368), quantile = 0.25, 95% CI(22.2782, 34.8212), Bottle/Sachet: quantile = 0.25, 95% CI(3.438, 98.1675)], toilet type [Flush: quantile = 0.25, 95% CI(2.2598, 18.3457),Other: quantile = 0.1, 95% CI(8.7863, 24.504), quantile = 0.25, 95% CI(7.0995, 20.1119)], household wealth index [Poorest: quantile = 0.1, 95% CI(−52.5112, −16.9197), quantile = 0.25, 95% CI(−48.3804, −23.0633),Poorer: quantile = 0.1, 95% CI(−38.8744, −4.7586), quantile = 0.25, 95% CI(−34.6993, −9.1766), Middle: quantile = 0.25, 95% CI(−28.9491, −6.5834)], health care visits [No: quantile = 0.1, 95% CI(−19.293, −3.6393), quantile = 0.25, 95% CI(−17.2342, −5.6411)], consumption of fortified foods and tubers [No: quantile = 0.1, 95% CI(−36.3898, −12.0378), quantile = 0.25, 95% CI(−17.8127, −1.2374)], anemia status [Anemic: quantile = 0.1, 95% CI(−15.9326, −1.1929), quantile = 0.25, 95% CI(−12.3361, −1.5516)], mosquito net usage [No: quantile = 0.1, 95% CI(−22.0323, −0.8033), quantile = 0.25, 95% CI(−13.8107, 1.1366)], child’s age [0 to 12 months: quantile = 0.1, 95% CI(81.6424, 105.7155), quantile = 0.25, 95% CI(61.4817, 78.5194),12 to 24 months: quantile = 0.1, 95% CI(0.5592, 24.933), 24 to 36 months: quantile = 0.1, 95% CI(7.9128, 40.2828)] and gender [Female: quantile = 0.1, 95% CI(4.5351, 17.9783), quantile = 0.25, 95% CI(5.0076, 15.4735)], and recent fever [No: quantile = 0.1, 95% CI(11.5663, 29.5984), quantile = 0.25, 95% CI(7.0313, 20.8918)]. …”

Table 1_Dynamic changes of gut microbiota between the first and second trimester for women with gestational diabetes mellitus and their correlations with BMI: a nested cohort study... by Shilin Zhong (9588065)

“…</p>Results<p>In the first trimester, GDM group exhibited lower levels of Bacteroides_H and Acetatifactor compared to ND group (p < 0.05). …”

Table 2_Clinical features and prognosis of NMOSD patients with positive autoimmune antibodies.docx by Yutao Liu (87989)

“…</p>Results<p>(1) Anti-CTD Abs (+): higher proportion of female patients, increased relapse frequency; decreased red blood cell (RBC) count and aspartate aminotransferase (AST) levels. (2) ATAbs (+): greater incidence of acute brainstem syndrome (ABS); reduced peripheral leukocyte, neutrophil, and lymphocyte counts; elevated serum urea levels. (3) Double (+): marked female predominance, higher incidence of ABS, decreased RBC count, hemoglobin (Hb) levels, and cerebrospinal fluid (CSF) chloride concentration; elevated serum urea. (4) AQP4-IgG association: AQP4-IgG-positive patients were more frequently female, with higher prevalence of anti-CTD Abs positivity but lower prevalence of ATAbs positivity. (5) Prognostic analysis: both double-positive and single-antibody-positive groups showed higher disability (EDSS ≥4.0/≥6.0) compared with antibody-negative patients, although no significant differences were observed between the two single-antibody subgroups. (6) Multivariate analysis identified combined antibody positivity (OR = 16.292), baseline EDSS score (OR = 3.179), and age at onset (OR = 1.052) as independent predictors of poor clinical outcomes.…”

Table 4_Clinical features and prognosis of NMOSD patients with positive autoimmune antibodies.docx by Yutao Liu (87989)

“…</p>Results<p>(1) Anti-CTD Abs (+): higher proportion of female patients, increased relapse frequency; decreased red blood cell (RBC) count and aspartate aminotransferase (AST) levels. (2) ATAbs (+): greater incidence of acute brainstem syndrome (ABS); reduced peripheral leukocyte, neutrophil, and lymphocyte counts; elevated serum urea levels. (3) Double (+): marked female predominance, higher incidence of ABS, decreased RBC count, hemoglobin (Hb) levels, and cerebrospinal fluid (CSF) chloride concentration; elevated serum urea. (4) AQP4-IgG association: AQP4-IgG-positive patients were more frequently female, with higher prevalence of anti-CTD Abs positivity but lower prevalence of ATAbs positivity. (5) Prognostic analysis: both double-positive and single-antibody-positive groups showed higher disability (EDSS ≥4.0/≥6.0) compared with antibody-negative patients, although no significant differences were observed between the two single-antibody subgroups. (6) Multivariate analysis identified combined antibody positivity (OR = 16.292), baseline EDSS score (OR = 3.179), and age at onset (OR = 1.052) as independent predictors of poor clinical outcomes.…”

Table 1_Clinical features and prognosis of NMOSD patients with positive autoimmune antibodies.docx by Yutao Liu (87989)

“…</p>Results<p>(1) Anti-CTD Abs (+): higher proportion of female patients, increased relapse frequency; decreased red blood cell (RBC) count and aspartate aminotransferase (AST) levels. (2) ATAbs (+): greater incidence of acute brainstem syndrome (ABS); reduced peripheral leukocyte, neutrophil, and lymphocyte counts; elevated serum urea levels. (3) Double (+): marked female predominance, higher incidence of ABS, decreased RBC count, hemoglobin (Hb) levels, and cerebrospinal fluid (CSF) chloride concentration; elevated serum urea. (4) AQP4-IgG association: AQP4-IgG-positive patients were more frequently female, with higher prevalence of anti-CTD Abs positivity but lower prevalence of ATAbs positivity. (5) Prognostic analysis: both double-positive and single-antibody-positive groups showed higher disability (EDSS ≥4.0/≥6.0) compared with antibody-negative patients, although no significant differences were observed between the two single-antibody subgroups. (6) Multivariate analysis identified combined antibody positivity (OR = 16.292), baseline EDSS score (OR = 3.179), and age at onset (OR = 1.052) as independent predictors of poor clinical outcomes.…”

Table 3_Clinical features and prognosis of NMOSD patients with positive autoimmune antibodies.docx by Yutao Liu (87989)

“…</p>Results<p>(1) Anti-CTD Abs (+): higher proportion of female patients, increased relapse frequency; decreased red blood cell (RBC) count and aspartate aminotransferase (AST) levels. (2) ATAbs (+): greater incidence of acute brainstem syndrome (ABS); reduced peripheral leukocyte, neutrophil, and lymphocyte counts; elevated serum urea levels. (3) Double (+): marked female predominance, higher incidence of ABS, decreased RBC count, hemoglobin (Hb) levels, and cerebrospinal fluid (CSF) chloride concentration; elevated serum urea. (4) AQP4-IgG association: AQP4-IgG-positive patients were more frequently female, with higher prevalence of anti-CTD Abs positivity but lower prevalence of ATAbs positivity. (5) Prognostic analysis: both double-positive and single-antibody-positive groups showed higher disability (EDSS ≥4.0/≥6.0) compared with antibody-negative patients, although no significant differences were observed between the two single-antibody subgroups. (6) Multivariate analysis identified combined antibody positivity (OR = 16.292), baseline EDSS score (OR = 3.179), and age at onset (OR = 1.052) as independent predictors of poor clinical outcomes.…”

Image 1_Mitochondrial DNA oxidation and content in different metabolic phenotypes of women with polycystic ovary syndrome.jpeg by Mailén Rojo (10802556)

“…However, mtDNA oxidation levels did not differ significantly among these groups. Additionally, the decline in mtDNA content and the increase in oxidation levels between controls and patients with PCOS lost significance when these relationships were adjusted for the HOMA index.…”

Supplementary file 1_The action of ginsenoside Rg1 in patients with carotid atherosclerosis: a controlled clinical trial.docx by Xu Fang (450501)

“…No significant intergroup differences were observed in arterial stiffness index (P > 0.05). …”

Replication package for "Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993-2019" by Borin Keo (20919743)

“…Despite their practical significance and increasing policy attention in the country, little is known about these costs.…”

Table 2_Age-Period-Cohort analysis and 2036 projections of the burden of ischemic stroke in Finland, Korea, Singapore and China, 1990–2021.xlsx by Jiayue Zhang (7832669)

“…Whereas, Singapore, South Korea, and Finland were lower than the global average. The APC model showed that the incidence increased significantly with the increase of age. …”

Table 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.xls by Dang Li (16400478)

“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”

Table 4_Age-Period-Cohort analysis and 2036 projections of the burden of ischemic stroke in Finland, Korea, Singapore and China, 1990–2021.xlsx by Jiayue Zhang (7832669)

“…Whereas, Singapore, South Korea, and Finland were lower than the global average. The APC model showed that the incidence increased significantly with the increase of age. …”

Table 5_Age-Period-Cohort analysis and 2036 projections of the burden of ischemic stroke in Finland, Korea, Singapore and China, 1990–2021.xlsx by Jiayue Zhang (7832669)

“…Whereas, Singapore, South Korea, and Finland were lower than the global average. The APC model showed that the incidence increased significantly with the increase of age. …”

Image 13_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”

Image 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”

Analytic framework. by Muayad Albadrani (7495145)

“…</p><p>Results</p><p>Logistic regression analysis revealed a strong negative association where household income increases and indoor air pollution-related mortality significantly decreases. Specifically, Households in the highest income quartile showed a 22% reduction progressively in the odds of mortality risk compared to the lowest income quintile. …”

Image 12_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

“…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”

Factors influencing nurses’ turnover intention. by Şehrinaz Polat (20978625)

“…Additionally, nurses working in private/non-profit healthcare organizations who had voluntarily chosen their profession exhibited statistically significantly lower turnover intentions. Interventions aimed at reducing career plateaus, tailored to the type of healthcare institution, and supporting nurses’ autonomy in career choice can reduce turnover intentions. …”

Table 1_Effects of education level on natural language processing in cardiovascular health communication.xlsx by Stanley Joseph (19282225)

“…</p>Results<p>Readability decreased significantly with increasing education level across all models (p < 0.001). …”