The human neutrophil IL-1β secretory response, in contrast to the CXCL8/IL-8 secretory response decreases as MOI increases. by Florencia Sabbione (4862455)

Differential gene expression assay EC₅₀ values in Huh-7 cells and PHH. by Xuan G. Luong (9761423)

Image_1_Reduced Ca2+ transient amplitudes may signify increased or decreased depolarization depending on the neuromodulatory signaling pathway.PDF by Arunima Debnath (13136676)

Differential protective effects of a history of thyroid cancer on breast cancer-specific mortality in patients at age<50years and age≥50years at the diagnosis of breast cancer. by Weiwei Cheng (582223)

Factors affecting the biology of <i>Pachycrepoideus vindemmiae</i> (Hymenoptera: Pteromalidae), a parasitoid of spotted-wing drosophila (<i>Drosophila suzukii</i>) by Cherre S. Bezerra Da Silva (7026926)

“…Based on survival and host-killing capacity, we conclude that <i>P</i>. <i>vindemmiae</i> has a tremendous biocontrol potential against SWD. …”

DataSheet1_Solamargine Inhibits the Development of Hypopharyngeal Squamous Cell Carcinoma by Decreasing LncRNA HOXA11-As Expression.PDF by Ying Meng (327793)

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)

PAP I point mutations lead to a decrease in pYV PCN, plasmid stability, and T3SS activity. by Katherine Schubert (5452712)

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)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

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. …”

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. …”