Data_Sheet_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.DOCX by Sven Iburg (9251132)

“…Conversely, a significant decrease in relative abundance from 18.2 ± 5.6% in control to 7 ± 3.4% in of the genus Paraplectana was also detected. …”

Data_Sheet_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.DOCX by Sven Iburg (9251132)

“…Conversely, a significant decrease in relative abundance from 18.2 ± 5.6% in control to 7 ± 3.4% in of the genus Paraplectana was also detected. …”

Psychosocial alarm symptoms according to gender (* represents statistically significant). by Shahab Abid (8698851)

Phenotypic effect sizes of top SNPs from the significant QTLs. by Anne Boshove (17769087)

Number of significant GWAS QTLs overlapping between breeds and traits. by Anne Boshove (17769087)

Table_1_On-Farm Trials Reveal Significant but Uncertain Control of Botrytis cinerea by Aureobasidium pullulans and Potassium Bicarbonate in Organic Grapevines.DOCX by Anabelle Laurent (10185680)

“…<p>Botrytis cinerea, a fungal pathogen that causes gray mold on grapes, can decrease yield, substantially reduce wine quality, and therefore cause significant economic losses. …”

Cosine Quantogram Analysis with 1% and 5% significance levels. by Thibaud Poigt (22049483)

Variants of uncertain significance. by Ghada Al-Kafaji (12054792)

Subjects:

Critical behavior of <i>Significance</i> in partition transition. by Ke Hu (84619)

Data_Sheet_1_Significant Global Yield-Gap Closing Is Possible Without Increasing the Intensity of Environmentally Harmful Nitrogen Losses.docx by Andrew Smerald (12416149)

Top contributor of tissues of significant genes for AD. By ranking tissues based on their loadings in matrix <i>T</i>, we identified which tissues are the top contributors to significant genes. by Yan Yan (208529)

DataSheet1_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

“…Based on assessed biomarker cut-offs, four patient groups were created to determine whether biomarker values were out of range (ORV) compared to cut-off: 1) No ORV biomarkers (n = 24; OS = 26.07 months); 2) one ORV biomarker (n = 21; OS = 13.50 months); 3) two ORV biomarkers (n = 20; OS = 7.97 months), and 4) three ORV biomarkers (n = 10; OS = 3.91 months). …”

DataSheet1_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

“…Based on assessed biomarker cut-offs, four patient groups were created to determine whether biomarker values were out of range (ORV) compared to cut-off: 1) No ORV biomarkers (n = 24; OS = 26.07 months); 2) one ORV biomarker (n = 21; OS = 13.50 months); 3) two ORV biomarkers (n = 20; OS = 7.97 months), and 4) three ORV biomarkers (n = 10; OS = 3.91 months). …”

Qualitative comparison of the contributed dataset with the existing one. by Abdullah Ahmed Bahashwan (17935851)

Ages of 1,360 cats fed meat-based or vegan diets. by Andrew Knight (50208)

Subjects:

PRISMA checklist. by Giacomo Stroffolini (11716410)

“…</p><p>Conclusions/Significance</p><p>Our findings demonstrate a significant decrease of <i>S</i>. …”

PRISMA flow diagram. by Giacomo Stroffolini (11716410)

“…</p><p>Conclusions/Significance</p><p>Our findings demonstrate a significant decrease of <i>S</i>. …”

Main characteristics of included papers. by Giacomo Stroffolini (11716410)

“…</p><p>Conclusions/Significance</p><p>Our findings demonstrate a significant decrease of <i>S</i>. …”

Regional marker-trait associations of the most significant loci for <i>setback</i> based on MLM, MLMM, and FarmCPU methods. by Cristiano Silva dos Santos (11985971)

Significantly different 5-HT_1A receptor binding based on prematurity. by Hannah C. Kinney (10280975)