Kylo-0603’s EC50 & tissue levels. by Xueqin lu (22250795)

Fig 2 - by Elizabeth R. Stevens (5754185)

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. …”

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. …”

Modeling the Shape and Stability of Co Nanoparticles as a Function of Size and Support Interactions through DFT Calculations and Monte Carlo Simulations by Enrico Sireci (12127349)

“…We additionally report the size-dependent surface energies and chemical potentials of Co NPs, which are both shown to decrease fast in the 2–6 nm size range and approach convergence afterward. …”

Effects of TGF-β1 on the expression of fibrosis indicators in HBdSMCs and the effects of MEL on the expression of fibrosis indicators in HBdSMCs induced by TGF-β1. by Yang Zhang (30734)

S1 File - by Yonghui Zhang (279832)

“…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”

Detailed information on field experiments. by Yonghui Zhang (279832)

“…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”

List of symbols used in this study. by Yonghui Zhang (279832)

“…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”

Data sources for calibration and evaluation. by Yonghui Zhang (279832)

“…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”

Fig 4 - by Min Sub Sim (8193564)

IC₅₀ of indole alkaloid against lipase [23]. by Atikarn Janthongkaw (17020498)

Absence of neocortex is associated with a dorsal shift of piriform cortex in <i>Emx1</i>-cKO mice. by Sathish Venkataramanappa (10331993)

Process steps in the Entscheidungsnavi. by Christian Hannes (17817132)

Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

“…Downregulation of DOM decreased PER levels at CT1-5 and CT17-21. (Scale bar: 50 um.) …”

S1 Data - by Jan Willem Koten (17743224)

“…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”

Connectivity statistics. by Jan Willem Koten (17743224)

“…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”

Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

Plot of mean compassion satisfaction by group and time. by Kunal Desai (18784208)

Chicken salad preparation steps in each experimental scenario and the number of samples collected and analyzed. by Rortana Chea (13183927)