Multiple linear regression analysis of the RAAS system and glucose metabolism indexes in HT and NT patients. by Ningning Wang (560944)

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Effect of mHealth application on FOC score in intervention group compared to control group at different time points (n = 70). by Sahar Khademioore (17319385)

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McNemar-Bowker test for mode change among the repeated measures; each cell represents the total repeated measures (N = 203); the width of the colour represents the proportion; phas... by Lan Li (73597)

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Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties. by Jun Sun (48981)

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Significant interactions from mixed linear models of ECM colonization (Table 1). by Laura García de Jalón (8939456)

Incremental costs per month for different HCV testing models. by Bao Vu Ngoc (14551955)

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Degeneration Saline group presented with significant decreased final weight in relation to other groups. by Flavia Gomes Velasque Gama (21175112)

Temporal trend (1972–2017) of ∑PCB (upper graph) and PCB TEQ (lower graph) in osprey eggs in the whole dataset and in different study areas. by Matti Viluksela (321291)

“…A smoothed green line is shown for non-linear trend components if p < 0.05 (ANOVA). Both ∑PCB and PCB TEQ decreased significantly in the whole dataset (annual decrease 3.5 and 4.0%, respectively) and in all study areas (annual decrease 2.2–4.4%).…”

Mean and Standard Deviation of T Values in Regions with Significant Differences among the Three Study Groups. by Morteza Fattahi (15892028)

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Analysis of variance showing significant differences among 39 onion genotypes for nutraceutical traits. by Najma Tabussam (11973225)

“…<p>Analysis of variance showing significant differences among 39 onion genotypes for nutraceutical traits.…”

Statistically significant differences (P < 0.05) in bacterial phyla among the treatment plants. by Tawanda E. Maguvu (9239170)

Multiple linear regression analysis of the RAAS and glucose metabolism indicators before and after treatment in DKD and non-DKD patients. by Ningning Wang (560944)

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Difference in retinal thickness measurements between participants with and without diabetes (with no/mild diabetic retinopathy). by Roomasa Channa (374127)

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Image_4_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_1_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_3_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_5_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Image_2_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.TIF by Dengpan Bu (369549)

“…Principal coordinates analysis (PCoA) based on weighted UniFrac distance showed no significant (P > 0.05) difference in the overall rumen prokaryotic microbiota profiles among the four calf groups, and principal component analysis (PCA) based on Bray-Curtis dissimilarity showed no significant (P > 0.05) difference in functional features predicted from the detected taxa. …”

Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

The values of angiotensin II by Ningning Wang (560944)

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