GXM decreases the trans-endothelial electrical resistance (TEER) and transmigration of <i>C</i>. <i>neoformans</i> through HBECs in a blood brain barrier (BBB) model. by Hiu Ham Lee (15374677)

Shows the 5′ region and the exons of the <i>C3</i> gene in the vertical line and the three new SNPs that we found by sequencing. by Yonghui Wang (287491)

KDM6A mRNA expression is decreased in PTFE mice. by Simon Lebek (9756148)

Data from: Spillage and food dust do not decrease efficacy of long-lasting insecticide-incorporated netting against stored product insects by Sabita Ranabhat (17484660)

Exercise test characteristics for identifying stenosis ≥ 50% in any limb among the 60 limbs with normal ABIs (> 0.91). by O. Stivalet (6890189)

Demographic, anthropometric, mobility, health, and cognitive characteristics of the participants (N = 50). by Sirinun Boripuntakul (13994171)

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

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. …”

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. …”

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)

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)