Statistically significant differences in gut microbiome relative abundances. by Anju Saxena (12098170)

Subjects:

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

“…Certain risk factors, such as age and sex differences, are thought to play a significant role in the susceptibility, progression, and response to neurological disease. …”

Structure of a trial. by Marcel F. Hinss (14675457)

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Differences in observed movement caused by aggregation methodology. by Hamish Gibbs (9548952)

Subjects:

Scatter plot for the significant Mendelian randomization (MR) association (P < 0.05) between mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

A proposed working model of how the GmNN1/FT2a-GmNYFA-C-GmENOD40 module regulates nodulation in soybean. by Xinxin Li (281237)

Subjects:

Beta diversity observation in different subgroups. by Changyoon Baek (2614585)

Significant differences in the relative abundance of specific bacterial families. by Jill V. Hagey (6706790)

Heatmaps of significant community cohesion differences between paired groups. by Yan He (116705)

Subjects:

Heatmaps of significant community disjointedness differences between paired groups. by Yan He (116705)

Subjects:

Significant histopathology was observed 12 months after moderate and severe TBI. by Juliana Sanchez-Molano (16792787)

Data_Sheet_1_Repeated Inoculation of Young Calves With Rumen Microbiota Does Not Significantly Modulate the Rumen Prokaryotic Microbiota Consistently but Decreases Diarrhea.docx 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. …”

Exercise is associated with a decrease in BMI. by Stephanie Y. Yang (8384520)

“…<p>There was a significant association between a greater number of exercise sessions attended and decreased BMI over the 6-month intervention period.…”

No differences were observed in the USV group averages. by Brooke Rodgers (21161974)

table1_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

“…Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. …”

table4_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

“…Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. …”

table3_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.docx by Gabriella Gálffy (177759)

“…Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. …”

image1_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg by Gabriella Gálffy (177759)

“…Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. …”

image3_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg by Gabriella Gálffy (177759)

“…Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. …”

image2_Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016.jpg by Gabriella Gálffy (177759)

“…Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. …”