S1 File - 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. …”

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

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)

Synthesis and Antiproliferative Activity of a New Series of Mono- and Bis(dimethylpyrazolyl)‑<i>s</i>‑triazine Derivatives Targeting EGFR/PI3K/AKT/mTOR Signaling Cascades by Ihab Shawish (13015516)

Subjects:

Synthesis and Antiproliferative Activity of a New Series of Mono- and Bis(dimethylpyrazolyl)‑<i>s</i>‑triazine Derivatives Targeting EGFR/PI3K/AKT/mTOR Signaling Cascades by Ihab Shawish (13015516)

Subjects:

TBEV-induced translational arrest results in the decreased protein levels of GAPDH, HPRT1, and viperin. by Martin Selinger (3195987)

ngLVA degradation kinetics. by Nicole A. Grieshaber (11175417)

“…Chloramphenicol treated sample showed a decrease of half max intensity 30 mins after treatment.…”

Decreased spacing with different numbers of branches to enhance green fig production by Rafael Pio (4618255)

“…Fig trees, with two or four fruiting branches, were distributed in four blocks, at a standard spacing of 2.5 m between rows, three spacing between plants in a row (0.50, 0.75, and 1.00 m), and densities of 8,000, 5,333, and 4,000 plants per hectare. …”

Diarrheal stool output rate overall and by blood type status in the modified intent-to-treat population. by Rahsan Erdem (11726357)

Subjects:

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)