Identification of a multi-tissue transcriptional signature of CR in mice. by Jamie L. Barger (246202)

Stability scores with refinement, no USM decreases, no AFILMVWY. by Jedediah M. Singer (10331212)

“…<p>Effects of guided and random substitutions within GM designs with a maximum sequence identity to any expert-designed protein of less than 50%, when guided substitutions are not permitted to decrease USM EC₅₀ predictions and neither guided nor random substitutions are allowed to change amino acids to alanine, phenylalanine, isoleucine, leucine, methionine, valine, tryptophan, or tyrosine.…”

Phenothrin sensitivity decreases with age in honey bees. by Frank D. Rinkevich (107592)

Response of haemoglobin signals to a step up in demand. by Murad Banaji (269755)

“…<p>The response in <i>μ</i>M of ΔHbO2 (red), ΔHHb (green) and ΔHbt (black) to a step up in demand. The stimulus and parameter values are as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000212#pcbi-1000212-g005" target="_blank">Figure 5</a>. …”

Responding Vγ9Vδ2-individuals decreases among HIV-infected patients who present lower Vγ9Vδ2 T-cell number than HD. by Rita Casetti (608635)

Lethal time (mean LT₅₀ and LT₉₀ with 95% confidence limits) for aphid populations from different agroecological zones exposed to six entomopathogenic fungal i... by Aime Cheoh Enoh (20141758)

AMPK activation is decreased with aging in human skin. by Yasuo Ido (172159)

Klotho decreased the expression of CHOP in mouse heart. by Shuang Song (457799)

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)