Supplementary file 1_Global trends in childhood urinary tract infections, 1990–2021: results from the GBD study.docx by Xiepeng Zuo (22308208)

“…Notably, childhood UTIs burden demonstrated significant associations with regional socioeconomic development and environmental conditions. …”

Image 1_Association between daily variations in the levels of atmospheric O3, PM2.5, and NO2 and the frequency of hospital visits due to respiratory diseases and hypertension in Me... by Elizabeth Vega (13793101)

“…Background<p>Environmental pollution is a significant public health issue in Mexico City. Patients with respiratory or cardiovascular diseases such as asthma or hypertension often experience exacerbations triggered by environmental factors. …”

Data Sheet 1_Hypocomplementemia dynamics during tocilizumab therapy in systemic juvenile idiopathic arthritis: a retrospective longitudinal study.xlsx by Jiayun Ling (15249289)

“…At week 48, hypocomplementemia was observed in 68.42% of patients for C3 and 26.32% for C4. The mixed linear model revealed significant reductions in C3 (β = -0.058, P < 0.001), C4 (β = -0.061, P = 0.022), and sJADAS10-ESR scores (β = -0.628, P < 0.001) across all time points compared to baseline. …”

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)]. …”

Table3_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.xlsx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table6_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.xlsx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table7_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.docx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table4_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.xlsx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table2_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.xlsx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table1_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.docx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

DataSheet1_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.docx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table5_Shifts in sulphur-cycling bacteria in the rhizobiome support the adaptation of Caulerpa prolifera to elevated sulphide levels.xlsx by Anastasiia Barilo (19938834)

“…While photosynthesis was not affected, the Caulerpa weight-based growth rate decreased linearly with increasing sulphide concentration. …”

Table 1_The global burden of childhood diarrhea and its epidemiological characteristics from 1990 to 2021.doc by Hai-Yan Zhu (17595684)

“…The ASPR is mostly concentrated in children aged 10–14 years old, among which the ASPR of children under 5 years old has the most significant decline, from 3,138.81 per 100,000 people (95% UI: 2,749.19–3,557.51) in 1,990–885.07 per 100,000 people (95% UI: 755.93–1,029.39), a decrease of 71%. …”

Presentation 1_Changes to inflammatory markers during 5 years of viral suppression and during viral blips in people with HIV initiating different integrase inhibitor based regimens... by Nicholas T. Funderburg (9422033)

“…Levels of D-dimer, sCD14, and TNFR1 decreased significantly from baseline in all treatment arms, with no significant differences between arms at any timepoint. …”

Table 1_Sex-specific association between triglyceride-glucose index and all-cause mortality in patients with osteoporotic fractures: a retrospective cohort study.docx by Shao-han Guo (19690687)

“…However, in males, there was a non-linear correlation, where patients in the uppermost TyG-I tertile showed a substantially decreased mortality risk relative to those in the lowest tertile (HR: 0.53, 95% CI: 0.30–0.92, p = 0.02). …”

Supplementary file 1_Sex-specific association between triglyceride-glucose index and all-cause mortality in patients with osteoporotic fractures: a retrospective cohort study.xlsx by Shao-han Guo (19690687)

“…However, in males, there was a non-linear correlation, where patients in the uppermost TyG-I tertile showed a substantially decreased mortality risk relative to those in the lowest tertile (HR: 0.53, 95% CI: 0.30–0.92, p = 0.02). …”

Table 1_Coffee consumption as a double-edged sword for serum lipid profile: findings from NHANES 2005–2020.docx by Chaoyue Mo (21684056)

“…In males, a similar non-linear trend was observed for TG, with levels peaking at 3.0 cups/day before decreasing.…”

<b>Impact of the Rhizosphere on Soil and Microbial Stoichiometry across Global Agroecosystems</b> by Andong Cai (10329365)

“…Additional information gathered encompassed latitude, longitude, climate, plant properties, soil properties, microbial properties, and experimental conditions.The rhizosphere significantly increases soil C:N, C:P, and N:P ratios while decreasing e microbial C:N, C:P, and N:P ratios compared to bulk soil. …”

S5 Fig - The human medial temporal lobe represents memory items in their ordinal position in both declarative and motor memory domains by Ainsley Temudo (21673160)

“…Planned pairwise comparisons indicate that in M1 and PMC, similarity values of the diagonal (i.e., lag 0, same position) were significantly larger than all other lags (i.e., lag 0 > all other lags, all <i>p</i>_<i>corr</i> < .05), while in the PHC, the diagonal was only significantly larger than lag 2 (<i>p</i>_<i>corr</i> < .05). …”