The structures of T3 and Kylo-0603. by Xueqin lu (22250795)

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Synthesis process of Kylo-0603. by Xueqin lu (22250795)

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ESI-HRMS spectra for Kylo-0603. by Xueqin lu (22250795)

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Subgroup analyses for the association of frailty status with risks of Urinary Incontinence by potential mediators. by Xiaohan Gan (22097061)

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Correlation matrix depicting significant (p ≤ 0.05) Spearman correlations between the relative abundance of root endophytic bacterial major phyla/class and the chemical characteris... by Rabiath F. R. Adigoun (14189090)

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Flowchart of the study population. by Alejandro Rojas Chaves (20614814)

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Characteristics of participants with an asymptomatic malaria infection: Overall and by anemia status (n = 393). by Alejandro Rojas Chaves (20614814)

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Factors associated with anemia stratified by age group: By logistic regression. by Alejandro Rojas Chaves (20614814)

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Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip by Adyant Agrawal (22492518)

“…These simulations robustly confirm that the intrinsic viscosity decreases with increasing aspect ratio and becomes negative beyond a threshold ≈5.5, providing a molecular-level confirmation of this behavior in a realistic graphene–water system. …”

Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip by Adyant Agrawal (22492518)

“…These simulations robustly confirm that the intrinsic viscosity decreases with increasing aspect ratio and becomes negative beyond a threshold ≈5.5, providing a molecular-level confirmation of this behavior in a realistic graphene–water system. …”

The injectable contraceptives depot medroxyprogesterone acetate and norethisterone enanthate substantially and differentially decrease testosterone and sex hormone binding globulin... by Chanel Avenant (409756)

“…The substantial and differential decrease in testosterone and SHBG levels does not explain our previous finding of no detected decrease in risky sexual behavior or sexual function for DMPA-IM or NET-EN users from D0 to 25W. …”

A table showing the QTLs at a significance level of α = 0.05 for average of all locations for phenotypes %C, %N, %S and the ratios of these elements. by Earl Taliercio (551949)

Receiver operating characteristic curve analyses for the prediction of hepatitis C. by Lu Han (151620)

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Exploring the correlation between systemic inflammation biomarkers and HCV infection (logarithm base 2). by Lu Han (151620)

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Threshold effect analysis of systemic inflammatory biomarkers on hepatitis C using two-piece wise linear regression. by Lu Han (151620)

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Exclusion and enrollment summary from NHANES. by Lu Han (151620)

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Demographic information and baseline population characteristics. by Lu Han (151620)

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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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