Plot of mean Burnout by group and time. by Kunal Desai (18784208)

Subjects:

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

Subjects:

Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

Volcano plots indicating the plasma metabolic features that significantly differ between high-fat diet-fed and chow-fed minipigs stratified by sex. by Ditte Olsen Lützhøft (10837857)

Subjects:

Eight urinary metabolites exhibited significant changes in the MSG-treated groups at week 12, and MSG-withdrawal group at weeks 0, 4, 8, 10, and 12. by Manatsaphon Sukmak (19532771)

“…In contrast, three metabolites including methylamine (E), N-methyl-4-pyridone-3-carboxamide (F), and taurine (H) showed significant decreased after MSG consumption and elevated after MSG withdrawal. …”

Significant decrease of the viability of A375 melanoma cells after CD treatment. by Lena Berning (7430117)

Macronutrient and food groups intakes of study participants (n = 382). by Habiba I. Ali (10451382)

Subjects:

Bacterial groups that significantly changed over time within the control group based on sequence analysis. by Evangelia M. Stavroulaki (11840809)

Clinical characteristics of the GBM group. by Sang-Soo Choi (11820298)

Subjects:

<i>HLA-DQB1/DQA2</i> rs9274619:A significantly interacts with T2D on triglycerides. by Margaret Sunitha Selvaraj (13994016)

“…<p>A) Allele frequency of rs9274619:A in T2D and non-T2D samples grouped by raw TG values. Significance of samples proportions between the groups was assessed using Fisher’s exact test for the lower and higher TG bins. …”

Absorption peaks of groups. by Xinhui Luo (11880086)

“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”

Principal component analysis with correlation circles (A, C) and factor maps (B, D) showing the grouping of the 29 <i>Synsepalum dulcificum</i> accessions based on 20 mineral eleme... by Rabiath F. R. Adigoun (14189090)

Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines. by Nazima Nasrullah (6874496)

“…<p>Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines.…”

PiCRUST prediction of the functional potential of a microbial community based on 16S rRNA gene sequencing data. by Jun Ho Song (1675123)

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. …”

Comparison of the statistical significance between t-tests with C₁ = 40 and CTOT with C₁ = 32. by Wei Zhuang (146641)

“…The inset Venn diagram illustrates statistically significant differences of levels of circulating microRNAs between control and treated groups, applying the CTOT, MC, or CO method and a maximum quality cycle threshold of C₁ = 32 to the data reported by Silva et al. …”