Probabilities of endorsing depressive symptoms derived from baseline 4-class latent class analysis (N = 619). by Carolin Oetzmann (11397968)

Model fit and class prevalence for baseline LCA models with varying numbers of classes and residual associations (N = 619). by Carolin Oetzmann (11397968)

Adjusted multinomial logistic regression models of class membership at baseline in relation to participant characteristics (N = 432). by Carolin Oetzmann (11397968)

Transition probabilities and class sizes for three-step LTA model (N = 432). by Carolin Oetzmann (11397968)

Relative permeability curve of a well in Gudong test area. by Mengyun Li (7490870)

Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Image 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.tif by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Table 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.doc by Ji Zhou (481629)

“…RQR significantly increased on day 4 in the non-survival group (median 5.285), and decreased in the survival group (median 0.1864). …”

Ultrafine Particulate Matter Exacerbates the Risk of Delayed Neural Differentiation: Modulation Role of METTL3-Mediated m⁶A Modification by Rui Wang (52434)

“…Our mechanistic findings indicate that PM_0.1 enhances m⁶A methylation of <i>Zic1</i> by upregulating <i>Mettl3</i>, leading to decreased mRNA stability and expression of this gene. …”

Effect of the cement filling speed on unconfined compressive strength q_u and uniformity (C_v): (a) Changes in qu and C_v with increasing number of in... by Xiaoyan Ding (291429)

Table 1_Body mass index influences Antimüllerian Hormone and inhibin B in adult males.xls by Wen Zhou (49050)

“…However, due to the low effect size of BMI/AMH, caution is needed in interpreting its clinical significance. Although we found a non-linear relationship and key thresholds between these variables, further studies with larger sample sizes are needed to confirm these findings.…”

Variation law of RA and AF in sandstone with different freeze-thaw cycles under a loading rate of 0.20mm/min. by Wenyu Lv (20139458)

Variation law of RA and AF in sandstone with different freeze-thaw cycles under a loading rate of 0.05mm/min. by Wenyu Lv (20139458)

S1 Data - by Guoqing Meng (4669774)

“…Additionally, mice in the PRE and POS groups showed significantly increased levels of IL-10 (<i>P</i> < 0.01), and significantly decreased levels of IL-5, IL-13, MCP-1, eotaxin, and tumor necrosis factor-α (<i>P</i> < 0.01).…”

Differential counts of leukocytes in mouse BALF. by Guoqing Meng (4669774)

“…Additionally, mice in the PRE and POS groups showed significantly increased levels of IL-10 (<i>P</i> < 0.01), and significantly decreased levels of IL-5, IL-13, MCP-1, eotaxin, and tumor necrosis factor-α (<i>P</i> < 0.01).…”

Data Sheet 2_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf by Diana Maltseva (11678641)

“…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …”

Data Sheet 4_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf by Diana Maltseva (11678641)

“…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …”

Data Sheet 5_CD44 knockdown alters miRNA expression and their target genes in colon cancer.zip by Diana Maltseva (11678641)

“…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …”

Data Sheet 1_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf by Diana Maltseva (11678641)

“…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …”