Other differentially-accumulated metabolites in <i>P</i>. <i>fijiensis</i> exposed to thiabendazole. by María Gabriela Maridueña-Zavala (3377081)

“…<i>fijiensis</i> that were significantly over-accumulated after exposure to 100 μg.mL^-1 thiabendazole for 6 or 24 h but showed decreased concentrations at 48 h. …”

Table 1_How long do pathogens persist and survive in water? A systematic review.docx by Famous K. Sosah (22509419)

“…Viruses averaged 22 days of survival but could persist up to 1,095 days; Human Adenovirus and Porcine epidemic diarrhea virus were the most frequently studied viral pathogens, while Human Norovirus survived over 70 days in surface water at 37°C. Viral viability decreased significantly at extreme pH levels. Parasites/protozoans, such as Cryptosporidium parvum and Giardia lamblia only showed survival duration, averaged 30 days survival, enduring extreme conditions and often benefiting from biofilm association. …”

Table 1_The expanding role of 16s ribosomal RNA PCR in the management of patients with infective endocarditis undergoing cardiac surgery.docx by Natalia Pavone (9442097)

“…The sensitivity of both valve culture and 16srRNA decreased significantly with prolonged preoperative antibiotic therapy. …”

Image 3_The expanding role of 16s ribosomal RNA PCR in the management of patients with infective endocarditis undergoing cardiac surgery.tiff by Natalia Pavone (9442097)

“…The sensitivity of both valve culture and 16srRNA decreased significantly with prolonged preoperative antibiotic therapy. …”

Image 1_The expanding role of 16s ribosomal RNA PCR in the management of patients with infective endocarditis undergoing cardiac surgery.tiff by Natalia Pavone (9442097)

“…The sensitivity of both valve culture and 16srRNA decreased significantly with prolonged preoperative antibiotic therapy. …”

Image 2_The expanding role of 16s ribosomal RNA PCR in the management of patients with infective endocarditis undergoing cardiac surgery.tiff by Natalia Pavone (9442097)

“…The sensitivity of both valve culture and 16srRNA decreased significantly with prolonged preoperative antibiotic therapy. …”

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)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

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)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

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)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

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)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

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. …”

Table_1_Engaging Underserved Communities in COVID-19 Health Equity Implementation Research: An Analysis of Community Engagement Resource Needs and Costs.docx by Nicole A. Stadnick (8788511)

“…Needed resources decreased, albeit with a greater diversity of activities, in later phases of community engagement with Spanish language translation requiring most in the later stage of the study. …”

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. …”