Unadjusted and adjusted odds ratios (95% confidence interval) for associations between patients who were prescribed aspirin at baseline and the occurrence of post-COVID-19 acute th... by Anna D. Ware (19688153)

Subjects:

Forest plot displaying the association (odds ratio [95% CI]) between patients who were prescribed aspirin at baseline and the occurrence of post-COVID-19 acute thromboembolic disor... by Anna D. Ware (19688153)

Subjects:

Frequency of post-COVID-19 acute thromboembolic disorders among aspirin users vs. non-users within 12 months following index date. by Anna D. Ware (19688153)

Subjects:

Primers used for gRNA synthesis, amplicon sequencing, pathogen biomass quantification, qRT-PCR. by Bikram Poudel (15989201)

Subjects:

Global transcriptional analysis for activated gametocytes of Δ<i>pbpp6</i> parasites by RNA-seq. by Yonghui Feng (12227596)

(a) Coastline length changes in the Caspian Sea; (b) LSI changes between 1985 and 2023 (P1 = 1985–1990, P2 = 1990–1995, P3 = 1995–2000, P4 = 2000–2005, P5 = 2005–2010, P6 = 2010–20... by Zihao Duan (17403792)

Differences in glenohumeral joint stability (A) and muscle force of the infraspinatus (B), and subscapularis (C) in models with and without cuff tears. by Shobu Nakashima (22537717)

“…<p>The black bar indicates a significant increase compared with the Intact model, and the gray bar indicates a significant decrease compared with the Intact model.…”

The concentration of inflammatory parameters (TNF-α and IL-10) in serum (a and b) and burned skin samples (c) of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

The concentrations of malondialdehyde (a), super oxide dismutase (b), and NOx (nitrate +nitrite)(c) in the burned skin samples of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

S1 File - by Chantelle M. de Vet (16535257)

“…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”

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)

“…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”

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)