Heterogeneity test at different educational levels. by Yanling Li (269030)

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Results of baseline regression. by Yanling Li (269030)

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Unmatched kernel density function diagram. by Yanling Li (269030)

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Comparing admission rate of each ward before and during COVID-19 outbreak. by Mahsa Motiei (18275525)

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Comparing diagnosis based on ICD-10 criteria in patients before and after COVID-19 outbreak. by Mahsa Motiei (18275525)

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Demographic information of participating emergency medicine physicians. by Leigh V. Evans (19753987)

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CONSORT flow diagram depicting participant flow through the trial. by Leigh V. Evans (19753987)

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Comparison of HRV and STAI between intervention and control at Pre-CRI:SIS and Post-CRI-SIS shifts from linear mixed model for repeated measures. by Leigh V. Evans (19753987)

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Comparing demographic and clinical characteristics of patients before and COVID-19 outbreak. by Mahsa Motiei (18275525)

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Improvement of CBS to CBR process. by Pingping Yan (462509)

“…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”

Interfacial Dynamics and Environmental Responsiveness of Double Emulsions Stabilized by Zein Particles and Surfactant Using Microfluidic Techniques by Meimiao Chen (18478414)

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Participants data. by Mohamed Achraf Harrabi (22446782)

“…In addition, scores of general (P < 0.001), physical (P < 0.001) and mental (P < 0.001) fatigue, and reduced activity (P < 0.001) and motivation (P = 0.006) decreased significantly in post- intervention compared to pre- intervention. …”

Flow chart of study participants. by Mohamed Achraf Harrabi (22446782)

“…In addition, scores of general (P < 0.001), physical (P < 0.001) and mental (P < 0.001) fatigue, and reduced activity (P < 0.001) and motivation (P = 0.006) decreased significantly in post- intervention compared to pre- intervention. …”

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”