Data overview for continuous imagery duration. by Daphne Cuvelier (561619)

Relationships between leaf toughness and litter chemical trait changes (as fractions of final / initial) in amounts or in concentrations under different environment conditions. by Xu Pan (517723)

Correlation between stored patterns affects sequence completion in the DDN model. by Mehdi Bayati (5819342)

Figure 7 by Guadalupe Arzadun (7251194)

Example of an mNP patient. by Mammar Hachemi (520328)

Silencing expression of Foxo1 increases Na_V1.5 expression. by Weike Mao (181121)

“…<p>Western blots showed decrease of Foxo1 protein by 50 MOI (n = 4) and 100 MOI Adv-Foxo1 RNAi (n = 4) increased Na_V1.5 protein in HL-1 cells in comparison with 100 MOI Adv-scramble RNAi (n = 4) (A) and this inhibition reached the significant difference (*p<0.05) at 100 MOI Adv-Foxo1-RNAi (C). …”

Nucleotide and amino acid changes and in vivo phenotypes of <i>mip1</i> mutants. by Françoise Foury (196285)

PDGF-BB mediated NIH-3T3 fibroblast chemotaxis is inhibited by MANS pretreatment. by Laura E. Ott (423780)

“…Data shown represents the average number of cells in 10 high-powered fields from four individual experiments with “a” and “b” denoting a significant decrease in percent (%) wound closure relative to RNS and VC treatment, respectively (p<0.05).…”

<b>Future Fairness Concerns: Influences on Punishment and Compensation Strategies in Fairness Maintenance</b> by Zhuang Li (10217024)

Sarcoplasmic reticulum caffeine-induced Ca²⁺ release properties. by Thomas J. Harvey (800460)

Sex-specific lifespan and gene expression. by Frederic Zimmer (7312322)

“…The decline was quantified as the Pearson correlation coefficient of the mean expression with age. A value of 0 would indicate no correlation (i.e., stable expression across aging), while a negative correlation is indicative of decreased mean RNA levels. …”

Palmitate diet causes systolic dysfunction in 12 weeks. by Catherine J. Knowles (400844)

“…No differences were observed in diastolic contractile performance. Means ± SE, n = 4–8 (50/50 gender split in all groups), linear regression analysis through single data points using GraphPad Prism 4.…”

CD4 T-cell expression of IFN-γ and IL-17 in pediatric malarial anemia by Evans Raballah (3937781)

“…In addition, SMA was characterized by decreased memory-like T-cells (CD4+CD45RA-) expressing IL-17 (<i>P</i> = 0.009) and lower mean fluorescence intensity in memory-like CD4+ T-cells for both IFN-γ (<i>P</i> = 0.063) and IL-17 (<i>P</i> = 0.006). …”

PTH promotes the repair of SAON after CD surgery in the bone tunnel and bone marrow of each group. by Chen-he Zhou (4057408)

“…(B) in the coronal plane of distal femur with a bone tunnel (yellow dotted circles). (C) The percentage of the area of necrosis foci and the percentage of empty osteocyte lacuna were measured, n = 6 in the SAON-CD-PTH group, n = 6 in the SAON-CD group, and n = 4 in the sham-CD group, Data are presented as mean ± SD, and error bars in the figure denote SD, *p<0.05, **p<0.01 (H&E, 50x and 200x).…”

Presentation_1_Early development of infant gut microbiota in relation to breastfeeding and human milk oligosaccharides.pdf by Maciej Chichlowski (362455)

RV adaptation to increased afterload in congenital heart disease and pulmonary hypertension by Mieke M. P. Driessen (5892452)

Image_1_Early development of infant gut microbiota in relation to breastfeeding and human milk oligosaccharides.pdf by Maciej Chichlowski (362455)

Supplementary file 1_Investigating the feasibility of machine learning to guide personalized red blood cell (RBC) transfusion: analyzing the heterogeneity of RBC transfusion in sep... by Penglei Yang (8090156)

“…The mean prediction coefficient estimated by the causal forest was 1.00 with a standard error of 0.57, while the differential forest prediction coefficient was 1.64 with a standard error of 0.48, demonstrating the model’s ability to effectively identify differences in the impact of transfusion on survival rates among individuals. …”

Supplementary Material for: GFR-Specific versus GFR-Agnostic Cutoffs for Parathyroid Hormone and Fibroblast Growth Factor-23 in Advanced Chronic Kidney Disease by Canney M. (5218298)

Sensitivity analysis of the Simulink model in <b>Figure 3</b>. by Mark F. Walker (359676)

“…Effect of varying model parameters on the error function of the simulation (the summed squared difference of simulated and actual eye velocities). Similar to <b>a</b> and <b>b</b>, the error function is shown as a percent of the baseline; thus, a value of 50 corresponds to an error magnitude that is 50 times greater. …”