Effect of follicular fluid (FF) supplementation during the maturation period on cumulus cell expansion. by Verónica M. Negrón-Pérez (20691412)

ROC curves for hub genes. by Jiyong Zhang (2498740)

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Differences in immune infiltration between NAFLD and control groups. by Jiyong Zhang (2498740)

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Enrichment Analysis Based on Ferroptosis-Related Differentially Expressed Genes. by Jiyong Zhang (2498740)

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Correlation between hub genes and 50 hallmark signaling pathways. by Jiyong Zhang (2498740)

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ROC curves for hub genes. by Jiyong Zhang (2498740)

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Intersection genes obtained from the PPI network and PPI network analysis of intersection genes. colored circles represent genes. by Jiyong Zhang (2498740)

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Expression profile heatmaps of key genes in gene sets. by Jiyong Zhang (2498740)

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Construction of the WGCNA Co-expression Network. by Jiyong Zhang (2498740)

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Differential Gene Expression Associated with Non-Alcoholic Fatty Liver Disease. by Jiyong Zhang (2498740)

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Interaction analysis of hub genes. by Jiyong Zhang (2498740)

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Regression situation of each cross-section. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Statistical Table of Formation Loss Rate <i>V1.</i> by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Fitting Results for Each Operating Condition. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

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Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n... by Thomas Hanslmeier (19949694)

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Shares of specialist groups prescribing 1^st, 2^nd, and 3^rd antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019. by Thomas Hanslmeier (19949694)

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Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0). by Thomas Hanslmeier (19949694)

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Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.8... by Thomas Hanslmeier (19949694)

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Comparison of 1^st, 2^nd, and 3^rd antibiotic prescription. by Thomas Hanslmeier (19949694)

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