CFU-Mk is significantly decreased by GATA1s overexpression in <i>GATA1s</i> strains. by Shiori Matsuo (10492159)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…</p><p dir="ltr">Compared to the ECIB algorithm and previous approaches, HDECO achieved significant improvements:</p><ul><li><b>Up to 10% reduction in energy consumption</b></li><li><b>8% decrease in overall execution cost</b></li><li><b>Better real execution time and fewer unnecessary migrations</b></li></ul><p dir="ltr">This makes HDECO an effective and lightweight solution for instance-intensive cloud workflows.…”

Most significant muscle activation values. by María Benito-de-Pedro (22057468)

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Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.134 ± 0.050, shuffled = 0.123 ± 0.035, p < 0.005, two-sided Wilcoxon rank-sum test, n_empirical = 229 units from 5 recording sessions, n_shuffled = 22900 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.132 ± 0.054, shuffled = 0.124 ± .054, p = 0.13, two-sided Wilcoxon rank-sum test, n_empirical = 124 units from 4 recording sessions, n_shuffled = 12400 simulated units from 4 recording sessions). …”

Table_1_Decreased Serum Brain-Derived Neurotrophic Factor Concentrations 72 Hours Following Marathon Running.DOCX by Astrid Roeh (11136600)

“…</p><p>Results: Linear mixed-model analyses revealed a main effect of time for BDNF concentrations over the study period (F_(4,89.389) = 4.296, p = 0.003). Values decreased significantly with the lowest values at 72 h after the marathon compared to baseline (p = 0.025), a finding that was more pronounced in the larger male cohort.…”

Summary of significant single-arm time effect. by Wensheng Xiao (16557866)

Mean and standard error of the mean for force capability according to anchor point level change. by Jihun Kim (10091)

Epac activation increased MYPT phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

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The results of KEGG enrichment analysis (Annotation: Circles represent each pathway, and the redder the color, the larger the circle, and the more important it is). by Lin Zhou (141050)

Phosphorylation status of myofilament proteins prepared from Epac1TG. by Yoshiki Ohnuki (576298)

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Epac activation with 8CPT-AM induced RLC phosphorylation in the perfused hearts. by Yoshiki Ohnuki (576298)

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Epac activation increased RLC phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

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Costs savings breakdown per tray. by Jay Toor (14309485)

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Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

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Incremental cost-effectiveness scatter plot. by Yiping An (20609789)

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Functional characterization of skinned myocardium prepared from Epac1TG. by Yoshiki Ohnuki (576298)

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Effects of chronic ISO infusion on cardiac function in Epac1TG. by Yoshiki Ohnuki (576298)

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Results of mean differences. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Statistically-significant cytokine changes between the pre-infusion and post-infusion blood draws plot of the mean (dot) and confidence interval (whiskers) for the coefficients of... by Jordan K. Abbott (8934239)

Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”