Image 3_Metabolic readouts of tumor instructed normal tissues (TINT) identify aggressive prostate cancer subgroups for tailored therapy.tif by Ilona Dudka (8857529)

“…</p>Results<p>Benign samples near high-grade tumors (B ISUP 3 + 4) exhibited altered metabolic profiles compared to those close to low-grade tumors (B ISUP 1 + 2). The levels of six metabolites differentiated between the two groups; myo-inositol, lysine, serine and combined signal of lysine/leucine/arginine were increased in benign samples near high-grade tumors (B ISUP 3 + 4) compared to near low-grade tumors (B ISUP 1 + 2), while levels of ethanolamine and lactate were decreased. …”

Table 2_Metabolic readouts of tumor instructed normal tissues (TINT) identify aggressive prostate cancer subgroups for tailored therapy.docx by Ilona Dudka (8857529)

“…</p>Results<p>Benign samples near high-grade tumors (B ISUP 3 + 4) exhibited altered metabolic profiles compared to those close to low-grade tumors (B ISUP 1 + 2). The levels of six metabolites differentiated between the two groups; myo-inositol, lysine, serine and combined signal of lysine/leucine/arginine were increased in benign samples near high-grade tumors (B ISUP 3 + 4) compared to near low-grade tumors (B ISUP 1 + 2), while levels of ethanolamine and lactate were decreased. …”

Supplementary Material for: A risk score prognostic model based on four ubiquitination and immune-related genes in sepsis for outcome prediction and treatment guidance by figshare admin karger (2628495)

Video 2_Contrast-enhanced ultrasound diagnosis and efficacy prediction of primary breast lymphoma: a case report and literature review.mp4 by Siqi Tang (3998222)

“…<p>Primary breast lymphoma (PBL) is a rare entity, accounting for less than 1% of all breast malignancies. PBL is often difficult to differentiate from other benign and malignant breast tumors. …”

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)

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. …”

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. …”

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). …”