Overexpression <i>TRIM37</i> enhances PEX5 protein stability by promoting PEX5 monoubiquitination. by Lai Jiang (2401513)

Supplementary file 1_Temporal interaction information and laser evoked responses: preliminary results in fibromyalgia patients with small fibers pathology.docx by Livio Clemente (22152382)

“…</p>Results<p>Control subjects generally exhibited synergy clusters corresponding to N2 and P2 peaks, whereas patients with fibromyalgia (FM), particularly those with distal denervation, exhibited increased redundancy and decreased synergy.</p>Conclusion<p>Patients with FM and small fiber pathology exhibited an alteration in higher-order integration mechanisms due to a complex interaction between cortical processing of pain and denervation of nociceptive fibers.…”

Figure 4 from Impact of Glucocorticoids on Immune Checkpoint Inhibitor Efficacy and Circulating Biomarkers in Non–Small Cell Lung Cancer Patients by Lauren Polyakov (21672045)

Each subfigure shows a different local size (LS) and context size (CS) configuration, where the reliability of the model across different initializations is measured in R-squared. by Eloy Geenjaar (21533195)

“…<p>In most cases where both the local size and context size is small, the DSVAE model is significantly more reliable than the IDSVAE method. …”

Table 2_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…Objectives<p>Ventilator-associated lower respiratory tract infections (VA-LRTIs) cause significant mortality. …”

Image 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.tif by Ji Zhou (481629)

“…Objectives<p>Ventilator-associated lower respiratory tract infections (VA-LRTIs) cause significant mortality. …”

Table 3_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.docx by Ji Zhou (481629)

“…Objectives<p>Ventilator-associated lower respiratory tract infections (VA-LRTIs) cause significant mortality. …”

Table 1_Predicting ventilator-associated lower respiratory tract infection outcomes using sequencing-based early microbiological response: a proof-of-concept prospective study.doc by Ji Zhou (481629)

“…Objectives<p>Ventilator-associated lower respiratory tract infections (VA-LRTIs) cause significant mortality. …”

The correlogram. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

The food consumption quantity. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Dataset. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Fig 5 - by Torsten Schober (20485754)

Fig 4 - by Torsten Schober (20485754)

Scatter plots of the linear regression for the relationship between the duration of the vegetative phase and the average mass of single inflorescences. by Torsten Schober (20485754)

Fig 6 - by Torsten Schober (20485754)

Fig 9 - by Torsten Schober (20485754)

Fig 8 - by Torsten Schober (20485754)

Individual data. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Descriptive statistics. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”

Time matched metabolic cost. by JoEllen M. Sefton (16880253)

“…Average oxygen consumption (VO2) was significantly lower (2.36 mL/kg/min) with the exoskeleton (t = 2.81; p = 0.023), and peak VO2 was 3.33 mL/kg/min lower with the exoskeleton (t = 2.37; p = 0.045). …”