Details of aquatic exercise protocol. by Asma Salari (21432948)

“…</p><p>Results</p><p>The EX group showed increased EMG activation for the tibialis anterior, gastrocnemius medialis, rectus femoris, and biceps femoris in both anterior-posterior (2.23 MVIC%, 95% CI: 1.13 to 3.34, p < 0.001) and posterior-anterior directions (2.35 MVIC%, 95% CI: 1.80 to 2.91, p < 0.001) compared to CO group. Onset time decreased significantly in the EX group relative to CO group (anterior-posterior: -108.07 ms, 95% CI: -117.23 to -98.89, p < 0.001; posterior-anterior: -98.72 ms, 95% CI: -106.54 to -90.90, p < 0.001). …”

Figure 4 from Functional Profiling of p53 and RB Cell Cycle Regulatory Proficiency Suggests Mechanism-Driven Molecular Stratification in Endometrial Carcinoma by Zelei Yang (18491142)

“…The individual points for each cell line in the individual graph for each treatment represent the average of three experiments, and error bars represent standard error of the mean. An ordinary one-way ANOVA with Šídák’s multiple comparisons test was performed to assess the significance of the difference between either the 4 hour or the 24 hour timepoint and the 45 minute timepoint for each cell line within each treatment. …”

Image 4_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…Introduction<p>Heart failure (HF) with improved ejection fraction (HFimpEF) was shown to be related with improved outcome but increase of left ventricular ejection fraction (LVEF) in patients without HF is of less known clinical significance. The aim of the study was to evaluate long-term prognosis in patients with different cardiovascular disorders, with and without HF, depending on temporal variations of LVEF.…”

Image 2_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…Introduction<p>Heart failure (HF) with improved ejection fraction (HFimpEF) was shown to be related with improved outcome but increase of left ventricular ejection fraction (LVEF) in patients without HF is of less known clinical significance. The aim of the study was to evaluate long-term prognosis in patients with different cardiovascular disorders, with and without HF, depending on temporal variations of LVEF.…”

Image 3_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…Introduction<p>Heart failure (HF) with improved ejection fraction (HFimpEF) was shown to be related with improved outcome but increase of left ventricular ejection fraction (LVEF) in patients without HF is of less known clinical significance. The aim of the study was to evaluate long-term prognosis in patients with different cardiovascular disorders, with and without HF, depending on temporal variations of LVEF.…”

Image 1_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…Introduction<p>Heart failure (HF) with improved ejection fraction (HFimpEF) was shown to be related with improved outcome but increase of left ventricular ejection fraction (LVEF) in patients without HF is of less known clinical significance. The aim of the study was to evaluate long-term prognosis in patients with different cardiovascular disorders, with and without HF, depending on temporal variations of LVEF.…”

Supplementary file 1_Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm.pdf by Sanglin Zhao (20915732)

“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”

多杀性巴氏杆菌流行过程中水平基因转移对其毒力与耐药的影响-附录.xlsx by He Jiao (19924953)

“…The transcription levels of iron acquisition systems such as fecABCDE, sitABCD operons, and dppAB were also significantly reduced, but the afuAB-dependent periplasmic binding protein-mediated iron transport mechanism was significantly upregulated. …”

Table_1_Successful treatment of refractory palmoplantar pustulosis by upadacitinib: report of 28 patients.DOC by Na Du (294594)

“…</p>Results<p>A total of 28 patients were diagnosed with PPP, including 10 males and 18 females, and 8 patients (3 males and 5 females) were diagnosed with SAPHO syndrome. The mean age was (36.3 ± 10.5) years. After 12 weeks of treatment, PPPASI scores decreased from baseline (13.86 ± 2.76) to (5.56 ± 1.08), with a statistically significant difference (p < 0.05). …”

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. …”

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. …”

Image 6_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_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. …”

Image 7_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 5_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. …”