Analysis of correlation of LV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

LV-GLS agreement analysis between expert and trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

GLS analysis with 2D-STE software. by Chantelle M. de Vet (16535257)

“…The student’s RV-GLS consistency was poor during the first 25 measurements, moderate-to good during the second 25 measurements and again poor-to-moderate during the final 50 measurements. Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i>_adj<0.001), which was not significantly different between trainees. …”

Standard deviation of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

RV-GLS agreement analysis between expert and novice trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

Standard deviation of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

ICC of each trainee RV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

ICC of each trainee LV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

Mean of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

Mean of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

Whole sample storing experiment: Mean FECs of day 0, day 1 and day 2 for hookworm, <i>A</i>. <i>lumbricoides</i> and <i>T</i>. <i>trichiura</i>. by Felix Bosch (10024550)

<i>M</i>. <i>leprae</i> was detected in the liver of a multibacillary patient and can decrease ApoA-I expression in HepG2 cells. by Robertha Mariana R. Lemes (8635935)

Fig 2 - by Megan Armstrong (1782073)

CONSORT diagram for prospective survey recruitment. by Megan Armstrong (1782073)

Patient characteristics by medical conditions pre-and post-prescription law. by Megan Armstrong (1782073)

Opioid medication use and patient satisfaction after hospital discharge. by Megan Armstrong (1782073)

Number of days and MMEs/kg prescribed at discharge by days to law change. by Megan Armstrong (1782073)

Stress strain curves (from a1 to f1), stress—AE count plots (from a2 to f2) and stress—cumulative AE count plots (from a3 to f3) for the sample temperatures of 20°C, 50°C, 100°C, 1... by Nazlı Tunar Özcan (14833635)

Imaging from a man in his 50s diagnosed with World Health Organization grade III oligodendroglioma. by Qing Wang (27728)

Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma by Zhihao Liu (419349)

“…In our previous study, we have identified a series of type I PRMT inhibitors, among which ZL-28-6 (<b>6</b>) exhibited increased activity against CARM1 while displaying decreased potency against other type I PRMTs. …”