Activity of xylanase in mixed feed and liver (mg saccharide/g sample/h), n = 12/treatment. by Miloš Skřivan (5122037)

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Nutrient retention in broilers (g/kg/day). by Miloš Skřivan (5122037)

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Composition of the gut microbiota at the phylum level following the administration of MP. by Yu Sang Choi (22656230)

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Concentrations of fatty acids in the diet (mg/100 g). by Miloš Skřivan (5122037)

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Comparison of (a) Chao index and (b) Shannon diversity index of the fecal microbiota in WT and Lep KO mice. by Yu Sang Choi (22656230)

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Fatty acid composition (mg/100 g) of breast meat. by Miloš Skřivan (5122037)

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Fat contents (g/kg) in breast meat and liver. by Miloš Skřivan (5122037)

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Analysis of variance results (mean sum of squares and significance) for the effect of soil types, crop species, and diuron doses on plant and their interactions on crop growth resp... by Win Win Pyone (20396432)

Differential miRNA target gene pathway enrichment bubble map. by Zhaowen Tan (12283502)

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qRT-PCR results of differentially expressed miRNAs in rats’ myocardial tissue after training. by Zhaowen Tan (12283502)

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Volcano plot and clustering of differentially expressed miRNAs. by Zhaowen Tan (12283502)

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Summary of miRNAs sequencing data quality. by Zhaowen Tan (12283502)

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Differential expression of miRNAs in SHR-SED group and BFRT group (all miRNAs). by Zhaowen Tan (12283502)

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Histogram of the GO functional enrichment of differential miRNA target genes. by Zhaowen Tan (12283502)

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The miRNA target genes. by Zhaowen Tan (12283502)

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Changes in SHR body weight, hemodynamics and cardiac function before and after training. by Zhaowen Tan (12283502)

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Table of miRNA comparisons with reference genomes. by Zhaowen Tan (12283502)

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Correlation of predicted sVNT against XBB1.5, XBB1.16, BA.5, Ancestral strain, and log Anti-RBD Ig titers using non-linear regression analysis. by Napon Hiranburana (21213386)

Statistical association (P < 0.10) between background factors and dog owners’ attitude (AT), subjective norms (SN) and perceived behavioral control (PBC) that were significantly as... by Fentahun Mengie (20862454)

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Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”