<i>M</i>. <i>bovis</i> 0690::Tn mutant failed to elicit the recruitment of neutrophils into milk spaces. by Aga E. Gelgie (17661720)

Subjects:

Data supporting the findings of this study. by Aga E. Gelgie (17661720)

Subjects:

Comparison of densitometric, biochemical, and hormonal variables, and bone turnover markers of EBF + 6 months versus EBF + one year postpartum. by Larissa Brazolotto Ferreira (17671168)

Subjects:

Study flow chart. by Benjamin R. Lewis (22279166)

Subjects:

Change in QIDS-SR-16 and MBI-HSS-MP by Treatment Group. by Benjamin R. Lewis (22279166)

Subjects:

I Optimal design for optimization of Axitinib loaded Spanlastics. by Randa Mohammed Zaki (21637175)

Subjects:

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

Subjects:

ANOVA for I optimal design of Axitinib loaded Spanlastics. by Randa Mohammed Zaki (21637175)

Subjects:

The kinetic release data of the optimized formula compared to drug suspension. by Randa Mohammed Zaki (21637175)

Subjects:

Change in Demoralization Scale (DSII) by Treatment Group. by Benjamin R. Lewis (22279166)

Subjects:

Change in Watt’s Connectedness Scale (WCS), General Connectedness by Treatment Group. by Benjamin R. Lewis (22279166)

Subjects:

Oligonucleotides used in this study. by Aga E. Gelgie (17661720)

Subjects:

Open data. by Larissa Brazolotto Ferreira (17671168)

Subjects:

Impact of 5′ nucleotidase disruption on <i>M</i>. <i>bovis</i> growth phenotype in axenic conditions. by Aga E. Gelgie (17661720)

Subjects:

General and sociodemographic characteristics of the EBF and EBF+ groups. by Larissa Brazolotto Ferreira (17671168)

Subjects:

Inactivation of MnuA and 5′-NT reduced bacterial fitness and virulence of <i>M</i>. <i>bovis</i> PG45 in mammary glands. by Aga E. Gelgie (17661720)

Subjects:

Mapping of transposon insertions in the selected mutants of <i>M</i>. <i>bovis</i> PG45. by Aga E. Gelgie (17661720)

Subjects:

Certainty of affect predicted by valence and low, medium, and, high trait emotional clarity Predicted certainty of knowing how you feel in a trial, as predicted by the subject’s st... by Anthony G. Vaccaro (5964368)

Analysis of differential microbiome and classification prediction model between case and control groups. by Chuan Zhang (187157)

“…The relative importance of each genus in the predictive model was evaluated using the mean decreasing accuracy and the Gini coefficient.…”

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…The significance of this research lies not only in its contribution to improving hydrological prediction accuracy but also in its broader applicability. …”