Boxplots comparing KGE_mean values of every scenario group (a-e) for calibration, where the black star is showing the mean. by Fabian Mitze (21084251)

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)

The effects of pre-administrated PPG, BCA or NaHS on rat blood pressure. by Chufan Sun (3390608)

Optimal conditions for mean germination time. by Ahad Asghari (20615202)

“…The results revealed that increasing PAW levels up to 0.18 min/mL led to an increase in seed germination percentage, seedling weight (both fresh and dry), seedling length, vigor indexes A and B, and water uptake and decreasing mean germination time. …”

Deletion <i>of bipA</i> in <i>E. coli</i> and <i>S.</i> Typhimurium results in a growth defect at low temperatures. by Eunsil Choi (8271039)

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)

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)

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 Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

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

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

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

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”