Table 1_Survival assessment in extremely preterm neonates in a middle-income setting.docx by Maria J. Rodriguez-Sibaja (17456689)

“…Overall mortality decreased with increasing gestational age, from 100% (22/22) at <24.0 weeks of gestation to 87% (14/16), 42% (16/38), and 21% (11/52) at a gestational age of 25, 26, and 27 weeks, respectively. …”

Table 2_Survival assessment in extremely preterm neonates in a middle-income setting.docx by Maria J. Rodriguez-Sibaja (17456689)

“…Overall mortality decreased with increasing gestational age, from 100% (22/22) at <24.0 weeks of gestation to 87% (14/16), 42% (16/38), and 21% (11/52) at a gestational age of 25, 26, and 27 weeks, respectively. …”

Table 1_Denosumab in patients with osteogenesis imperfecta and a historical control study with alendronate.docx by Yazhao Mei (13041882)

“…Vertebral area loss decreased significantly with denosumab (-14.6%, P=0.029), unlike alendronate (-8.8%, P=0.296). …”

Image 1_Denosumab in patients with osteogenesis imperfecta and a historical control study with alendronate.tif by Yazhao Mei (13041882)

“…Vertebral area loss decreased significantly with denosumab (-14.6%, P=0.029), unlike alendronate (-8.8%, P=0.296). …”

Image 2_Denosumab in patients with osteogenesis imperfecta and a historical control study with alendronate.tif by Yazhao Mei (13041882)

“…Vertebral area loss decreased significantly with denosumab (-14.6%, P=0.029), unlike alendronate (-8.8%, P=0.296). …”

Table 1_Association between life’s crucial 9 and sarcopenia: estimated glucose disposal rate as a key mediator.doc by Xialian Tang (22319332)

“…In crude models, each 10-point increase in LC9 was associated with a 4.9% decrease in sarcopenia odds (OR: 0.951, p < 0.001). …”

Data Sheet 1_Polyphenol-mediated microbiome modulation in STEMI patients: a pilot study.zip by Argul Issilbayeva (21398168)

“…</p>Conclusion<p>Our findings demonstrate that polyphenol supplementation maintains stable TMAO levels by restructuring gut microbiome composition in STEMI patients, evidenced by a more focused microbiome with a significant increase in beneficial butyrate-producing bacteria (Roseburia, Agathobaculum sp., Alistipes finegoldii, and Sellimonas) and a decreased Firmicutes/Bacteroidetes ratio, suggesting microbiome-mediated cardioprotective effects. …”

Single-cell profiling of lymphoid subsets. by Abishek Balakumar (20189865)

Table 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 1_Effects of icariin as a feed additive on the reproductive function in bucks (Capra hircus).docx by Fang-e Zhao (20140809)

“…However, the serum concentration of GnRH in the ICA group initially increased, followed by a subsequent decrease (p < 0.05). The hypothalamic concentrations of dopamine (DA) and 5-hydroxytryptamine (5-HT) were significantly higher in the ICA group compared to the control group (p < 0.01). …”

Table 5_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 4_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Data from "A Historical Misstep: Niche Shift to Specialisation Is Pushing Insular Ginger Towards an Evolutionary Dead End" by Min-Wei Chai (15899033)

“…<i>Z. shuanglongense</i>, as the specialist, despite an initial increase during the Last Glacial Maximum (~22 Kya), has been subjected to a long-term decrease in effective population size (<i>Ne</i>), while <i>Z. pleiostachyum</i> is on the contrary increasing, leading to a significantly larger current <i>Ne</i>. …”

Key factors affecting enterprise competitiveness and business efficiency: a case study of tourism enterprises in Vietnam by Phan Thanh Tam (19969603)

“…<p>Vietnam’s tourism business has been dramatically affected by the Covid‑19 outbreak, leading to a considerable decrease in the number of tourists visiting the country. …”

Baseline characteristics of the study sample^βμ. by Osama Mohamed Ibrahim (12006954)

“…A significant difference was observed in the proportion of DRP types between Active Group A and the Control Group. …”