Stratified associations between systemic inflammation biomarkers and hepatitis C (OR 95%, <i>P</i> value, LOG base 2). by Lu Han (151620)

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General addictive models demonstrate the relationship between systemic inflammatory biomarkers and anti-HCV. by Lu Han (151620)

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Comparison of systemic inflammation biomarkers in infected and uninfected populations. by Lu Han (151620)

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Thioflavin-T (ThT) fluorescence analysis of amyloid fibril formation in wild-type and p.R163C mutant αB-crystallin under thermochemical stress. by Aref Baharvand (21713886)

Schematic presentation <i>M</i>. <i>bovis</i> PG45 5′ nucleotidase and phylogenetic tree of its homologs. by Aga E. Gelgie (17661720)

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<i>In vitro</i> characterization of the mnuA::Tn and 0690::Tn mutants. by Aga E. Gelgie (17661720)

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Loss of mammary fitness and virulence by <i>M</i>. <i>bovis</i> 0690::Tn mutant. by Aga E. Gelgie (17661720)

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

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

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

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

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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)

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

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Effect of alkali-stress (NaHCO₃ (250 mmol·L⁻¹)) on SGAT activity, Rubico activity, glycine (Gly), and serine (Ser) content in hemp seedling leaves grown under... by Zeyu Jiang (5094320)

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Flowchart of the study protocol. by Min Wang (21070)

“…Moreover, contrasting with a decrease in the control group, TC group demonstrated significance increased theta oscillatory power in C3, C4, F4, P3, T7, and T8, and a significant negative correlations were observed between state anxiety and F4-θ (r = -0.31, p = 0.04), T7-θ (r = -0.43, p = 0.01), and T8-θ (r = -0.30, p = 0.05).…”

Subject characteristics (n = 45). by Min Wang (21070)

“…Moreover, contrasting with a decrease in the control group, TC group demonstrated significance increased theta oscillatory power in C3, C4, F4, P3, T7, and T8, and a significant negative correlations were observed between state anxiety and F4-θ (r = -0.31, p = 0.04), T7-θ (r = -0.43, p = 0.01), and T8-θ (r = -0.30, p = 0.05).…”

Variants in the three-way intersections of credible sets predicetd to alter chromatin accessibility in brain cell types. by Daniela Fusco (10027975)

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Genes associated by SMR to both BMI and at least one sMRI trait. by Daniela Fusco (10027975)

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Genetic correlations between sMRI traits and BMI. by Daniela Fusco (10027975)

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SMR reveals common molecular patterns. by Daniela Fusco (10027975)

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