XRD diffraction pattern spectra of PFAgNPs. by Kenedy Kiyimba (9942393)

“…The no observed adverse effect level was 50 mg/kgBW, the lowest observed adverse effect level was 100 mg/kgBW, and median lethal dose (LD₅₀) was 1000 mg/kg. The PFAgNPs significantly decreased (<i>P</i> < 0.05) serum proteins, cholesterol, estrogen and progesterone alongside preservation of the histoarchitecture of the uterus. …”

DataSheet1_The long-term prognostic implications of free triiodothyronine to free thyroxine ratio in patients with obstructive sleep apnea and acute coronary syndrome.docx by Yun Zhou (308977)

“…The FT3/FT4 ratio between OSA and non-OSA patients was not significantly different. During 2.8 (1.4, 3.5) years follow up, the risk of MACCE increased with the decreasing FT3/FT4 tertiles in patients with OSA (tertile3 as reference, tertile2: hazard ratio (HR) 1.26, 95% CI: 0.85-1.86, P = 0.255; tertile1: 1.60, 95% CI 1.11-2.32; P = 0.013). …”

Table2_The long-term prognostic implications of free triiodothyronine to free thyroxine ratio in patients with obstructive sleep apnea and acute coronary syndrome.jpg by Yun Zhou (308977)

“…The FT3/FT4 ratio between OSA and non-OSA patients was not significantly different. During 2.8 (1.4, 3.5) years follow up, the risk of MACCE increased with the decreasing FT3/FT4 tertiles in patients with OSA (tertile3 as reference, tertile2: hazard ratio (HR) 1.26, 95% CI: 0.85-1.86, P = 0.255; tertile1: 1.60, 95% CI 1.11-2.32; P = 0.013). …”

Table4_The long-term prognostic implications of free triiodothyronine to free thyroxine ratio in patients with obstructive sleep apnea and acute coronary syndrome.jpg by Yun Zhou (308977)

“…The FT3/FT4 ratio between OSA and non-OSA patients was not significantly different. During 2.8 (1.4, 3.5) years follow up, the risk of MACCE increased with the decreasing FT3/FT4 tertiles in patients with OSA (tertile3 as reference, tertile2: hazard ratio (HR) 1.26, 95% CI: 0.85-1.86, P = 0.255; tertile1: 1.60, 95% CI 1.11-2.32; P = 0.013). …”

Table 1_Oral bacterial community dynamics during induction of gingival inflammation.xlsx by Bart J. F. Keijser (16884185)

“…Multivariate statistical analyses were applied to evaluate microbial dynamics and their associations with clinical outcomes.</p>Results<p>The study revealed pronounced microbial changes, particularly in supragingival plaque, where Leptotrichia and Prevotella increased while Streptococcus decreased. …”

Image 1_Integrated analysis of miRNAs-mRNAs in skeletal muscle development revealed that novel-miR-766 affects myoblast differentiation and myofiber-type formation in sheep.tif by Zhenzhen Gu (21488168)

“…Differential expression and functional enrichment analysis of target genes of DE-miRNAs obtained from stage A revealed the target relationships between 159 DE-miRNAs and 21 differentially expressed target genes associated with myofiber formation. In vitro assays revealed that myoblast differentiation and myotube formation were significantly inhibited by MYH3 knockdown via siMYH3 and that novel-miR-766 targets and decreases the expression of MYH3. …”

Table 2_Integrated analysis of miRNAs-mRNAs in skeletal muscle development revealed that novel-miR-766 affects myoblast differentiation and myofiber-type formation in sheep.xlsx by Zhenzhen Gu (21488168)

“…Differential expression and functional enrichment analysis of target genes of DE-miRNAs obtained from stage A revealed the target relationships between 159 DE-miRNAs and 21 differentially expressed target genes associated with myofiber formation. In vitro assays revealed that myoblast differentiation and myotube formation were significantly inhibited by MYH3 knockdown via siMYH3 and that novel-miR-766 targets and decreases the expression of MYH3. …”

Table 1_Integrated analysis of miRNAs-mRNAs in skeletal muscle development revealed that novel-miR-766 affects myoblast differentiation and myofiber-type formation in sheep.xlsx by Zhenzhen Gu (21488168)

“…Differential expression and functional enrichment analysis of target genes of DE-miRNAs obtained from stage A revealed the target relationships between 159 DE-miRNAs and 21 differentially expressed target genes associated with myofiber formation. In vitro assays revealed that myoblast differentiation and myotube formation were significantly inhibited by MYH3 knockdown via siMYH3 and that novel-miR-766 targets and decreases the expression of MYH3. …”

Table 4_Integrated analysis of miRNAs-mRNAs in skeletal muscle development revealed that novel-miR-766 affects myoblast differentiation and myofiber-type formation in sheep.xlsx by Zhenzhen Gu (21488168)

“…Differential expression and functional enrichment analysis of target genes of DE-miRNAs obtained from stage A revealed the target relationships between 159 DE-miRNAs and 21 differentially expressed target genes associated with myofiber formation. In vitro assays revealed that myoblast differentiation and myotube formation were significantly inhibited by MYH3 knockdown via siMYH3 and that novel-miR-766 targets and decreases the expression of MYH3. …”

Table3_The long-term prognostic implications of free triiodothyronine to free thyroxine ratio in patients with obstructive sleep apnea and acute coronary syndrome.jpg by Yun Zhou (308977)

“…The FT3/FT4 ratio between OSA and non-OSA patients was not significantly different. During 2.8 (1.4, 3.5) years follow up, the risk of MACCE increased with the decreasing FT3/FT4 tertiles in patients with OSA (tertile3 as reference, tertile2: hazard ratio (HR) 1.26, 95% CI: 0.85-1.86, P = 0.255; tertile1: 1.60, 95% CI 1.11-2.32; P = 0.013). …”

Supplementary file 1_Oral bacterial community dynamics during induction of gingival inflammation.docx by Bart J. F. Keijser (16884185)

“…Multivariate statistical analyses were applied to evaluate microbial dynamics and their associations with clinical outcomes.</p>Results<p>The study revealed pronounced microbial changes, particularly in supragingival plaque, where Leptotrichia and Prevotella increased while Streptococcus decreased. …”

Data Sheet 1_Effects of nitrogen application amount on nitrogen distribution and photosynthesis in tea leaves.pdf by Kai Li (205203)

“…Additionally, nitrogen content in the structural system increased slowly, whereas that in the storage system rose significantly. With increasing nitrogen levels, the distribution ratio of leaf nitrogen in the carboxylation and electron transport systems initially increased and then decreased; in the structural system, it first decreased and subsequently stabilized, while in the storage system, it gradually increased. …”

Table 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 4_Prediction of major adverse cardiovascular events following ST-segment elevation myocardial infarction using cardiac obesity marker—epicardial adipose tissue mass index: a... by Zeyan Liu (3748747)

“…Background<p>Although reperfusion therapy has led to improvements in the acute phase of ST-segment elevation myocardial infarction (STEMI), the incidence of major adverse cardiovascular events (MACE) following STEMI has not significantly decreased. The accumulation of epicardial adipose tissue (EAT) may be associated with poorer STEMI prognosis and could serve as a potential prognostic marker. …”

Table 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Table 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”

Image 8_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…<p>The global prevalence of metabolic diseases, including hypertension, type 2 diabetes mellitus (T2DM), gout, and obesity, has significantly increased over the past two decades. The brain plays a central role in regulating both human behavior and metabolism. …”