Aerobic training increases renal antioxidant defence and reduces angiotensin II levels, mitigating the high mortality in SHR-STZ model by Vinicius Guzzoni (21977127)

“…These findings might reflect a better survival under the combined pathological conditions, hypertension, and diabetes.…”

Table_1_RETRACTED: CXCL6 Promotes Renal Interstitial Fibrosis in Diabetic Nephropathy by Activating JAK/STAT3 Signaling Pathway.DOCX by Meng-Yao Sun (6502697)

“…CXCL6 is promising to be a potential novel therapeutic target and candidate biomarker for JAK/STAT3 signaling for the treatment of DN.…”

Transmission electron microscopy (TEM) photographs. by Jingjing Chen (293564)

“…<p><b>A</b>: Normal keratocytes were distributed parallel to the epithelium, collagen fibers formed lamellae, and the EBM had integrated lamina lucida and lamina densa (Magnification=30000). …”

DataSheet3_Dysregulation of the 3β-hydroxysteroid dehydrogenase type 2 enzyme and steroid hormone biosynthesis in chronic kidney disease.xlsx by Yiyi Zuo (19945293)

“…</p>Results<p>Metabolic characteristics revealed significant shifts in CKD, with 61 metabolites increased and 65 metabolites decreased, highlighting the disruption in steroid hormone biosynthesis pathways influenced by HSD3B2. …”

DataSheet2_Dysregulation of the 3β-hydroxysteroid dehydrogenase type 2 enzyme and steroid hormone biosynthesis in chronic kidney disease.xlsx by Yiyi Zuo (19945293)

“…</p>Results<p>Metabolic characteristics revealed significant shifts in CKD, with 61 metabolites increased and 65 metabolites decreased, highlighting the disruption in steroid hormone biosynthesis pathways influenced by HSD3B2. …”

DataSheet1_Dysregulation of the 3β-hydroxysteroid dehydrogenase type 2 enzyme and steroid hormone biosynthesis in chronic kidney disease.pdf by Yiyi Zuo (19945293)

“…</p>Results<p>Metabolic characteristics revealed significant shifts in CKD, with 61 metabolites increased and 65 metabolites decreased, highlighting the disruption in steroid hormone biosynthesis pathways influenced by HSD3B2. …”

Control analyses of behavioral timescales. by Isabel Raposo (21615517)

“…<p><b>(A)</b> Left: Randomly shuffling the time series data abolishes the signal autocorrelation; hence, removes the aperiodic temporal structure as indexed by decreasing timescales (<i>p</i> < 0.0001; <i>z</i>-scored relative to shuffled distribution). …”

Algorithm training accuracy experiments. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

Repeat the detection experiment. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

Cardiac function. by Gerald Yu Liao (20490394)

“…<p><b>A.</b> C57BL/6J mice did not show age-related changes in LVMI (tibia). …”

Data Sheet 1_Impact of SARS-CoV-2 vaccination and of seasonal variations on the innate immune inflammatory response.pdf by Hend Jarras (13138641)

“…</p>Results<p>Our results show that IL-8 production after stimulation decreased after vaccination. In addition, the IL-8 response was significantly different depending on the season when the visit occurred, for both COVID-19 vaccinated and unvaccinated individuals.…”

Detection network structure with IRAU [34]. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

Ablation experiments of various block. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

Kappa coefficients for different algorithms. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

The structure of ASPP+ block. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

The structure of attention gate block [31]. by Yingying Liu (360782)

“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”

Data Sheet 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”

Data Sheet 2_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.csv by Jiashuo Li (7865036)

“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”

Image 2_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg by Jiashuo Li (7865036)

“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”

Image 4_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg by Jiashuo Li (7865036)

“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”