Table 4_Morphophysiological and transcriptomic analyses during the development of microspores and megaspores in Orobanche coerulescens.xlsx by Kelin Cui (20936231)

“…However, its richness in high-value secondary metabolites makes it a significant medicinal resource. …”

Table 2_Morphophysiological and transcriptomic analyses during the development of microspores and megaspores in Orobanche coerulescens.xlsx by Kelin Cui (20936231)

“…However, its richness in high-value secondary metabolites makes it a significant medicinal resource. …”

Table 3_Morphophysiological and transcriptomic analyses during the development of microspores and megaspores in Orobanche coerulescens.xls by Kelin Cui (20936231)

“…However, its richness in high-value secondary metabolites makes it a significant medicinal resource. …”

Dataset Rigenera by Angelica Moè (21154697)

Supplemental information for "Data Driven Model to Estimate Furrow Irrigation Sediment Loss in Western U.S." by Bradley King (16921360)

Modulation of performance during learning. by Daniel Ramandi (10047543)

“…(B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”

Table5_SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression.xlsx by Zhiqiang Chen (218692)

“…Top genes included SNAP25, MYC, NRXN1, GAD2, and SYT1. SNAP25 was notably associated with M2 macrophage infiltration. …”

DataSheet2_SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression.zip by Zhiqiang Chen (218692)

“…Top genes included SNAP25, MYC, NRXN1, GAD2, and SYT1. SNAP25 was notably associated with M2 macrophage infiltration. …”

Table2_SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression.xls by Zhiqiang Chen (218692)

“…Top genes included SNAP25, MYC, NRXN1, GAD2, and SYT1. SNAP25 was notably associated with M2 macrophage infiltration. …”

Table3_SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression.xlsx by Zhiqiang Chen (218692)

“…Top genes included SNAP25, MYC, NRXN1, GAD2, and SYT1. SNAP25 was notably associated with M2 macrophage infiltration. …”

Table4_SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression.xlsx by Zhiqiang Chen (218692)

“…Top genes included SNAP25, MYC, NRXN1, GAD2, and SYT1. SNAP25 was notably associated with M2 macrophage infiltration. …”

Image 3_Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study.... by Xuewen Rong (6242657)

“…The correlation between the sociodemographic index (SDI) and EAPC had a rho value of −0.18. The slope index of inequality for the mortality burden decreased from 1.97 to 1.62. …”

Image 2_Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study.... by Xuewen Rong (6242657)

“…The correlation between the sociodemographic index (SDI) and EAPC had a rho value of −0.18. The slope index of inequality for the mortality burden decreased from 1.97 to 1.62. …”

Table 2_Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study.... by Xuewen Rong (6242657)

“…The correlation between the sociodemographic index (SDI) and EAPC had a rho value of −0.18. The slope index of inequality for the mortality burden decreased from 1.97 to 1.62. …”

Image 4_Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study.... by Xuewen Rong (6242657)

“…The correlation between the sociodemographic index (SDI) and EAPC had a rho value of −0.18. The slope index of inequality for the mortality burden decreased from 1.97 to 1.62. …”

The projected effects of insecticide treated nets (ITNs) on the age distribution of the mosquito population. by Isaac J. Stopard (10151370)

“…In A-B the yellow lines indicate simulations with no ITNs, with blue lines denoting populations where ITNs are deployed at the vertical dashed line (day 180 of the year for the panels titled "ITN distribution when abundance is increasing" and day 280 in panels titled "ITN distribution when abundance is decreasing"). Multiple stochastic realisations of the model are shown, with the mean value denoted by the thicker line.…”

Numerical Study of the Mechanical Properties and Failure Mechanisms of Shale Under Different Loading Conditions by Tianran Lin (21099298)

“…The results reveal the following key findings: (1) With an increase in the bedding angle, the uniaxial compressive strength of shale shows a U-shaped change trend, while the tensile strength gradually decreases. …”

Annual distribution of IG-ralated AE reports. by Shaozhi Liu (13720340)

“…Further identification of signal strength based on the BCPNN method was conducted by categorizing signals into four levels based on the Information Component (IC) value and its 95% confidence interval: weak signals (0 < IC025 ≤ 1.5), moderate signals (1.5 < IC025 ≤ 3), and strong signals (IC025 > 3). …”

Proportion of AEs by SOCs in pregnant women. by Shaozhi Liu (13720340)

“…Further identification of signal strength based on the BCPNN method was conducted by categorizing signals into four levels based on the Information Component (IC) value and its 95% confidence interval: weak signals (0 < IC025 ≤ 1.5), moderate signals (1.5 < IC025 ≤ 3), and strong signals (IC025 > 3). …”

Flow chart for inclusion and exclusion criteria. by Maleda Tefera (9025154)

“…Specifically, the prevalence of stunting was 42.9% (95% CI: 42.14, 43.56), followed by underweight at 30.28% (95% CI: 29.63, 30.92), and wasting at 13.84% (95% CI: 13.35, 12.04).Children breastfed into their third year of life were more likely to develop underweight (AOR: 1.55; 95% CI 1.41, 1.70) and stunting (AOR: 5.45; 95% CI 4.83, 6.15). …”