Detection of the Challenging mutations at 1% VAF and 50 ng DNA input. by Lizhi Yu (12476136)

IC₅₀s data of antimalarials against controls. by Winnie Okore (14139712)

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Effect of melatonin (50 μM) on the TGF-β1 (10 ng/mL, 72 h)-mediated TGF-β1/Smad pathway and EMT in HBdSMCs. by Yang Zhang (30734)

Drugs IC₅₀s data during the study period. by Winnie Okore (14139712)

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SNPs IC₅₀s data at codon 876 during the study period. by Winnie Okore (14139712)

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Association of polymorphic IC_50s versus wild<i>-</i>type at codon 876 in selected drugs tested. by Winnie Okore (14139712)

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Ifit2 deficiency results in decreased neuroinflammation upon RSA59 infection. by Jayasri Das Sarma (652473)

Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

ROC curve and P-R curve (attack traffic proportion = 50%). by Longyan Ran (18452261)

Number of samples per site during the study period. by Winnie Okore (14139712)

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Performance of selected antimalarials against field isolates during the study period. by Winnie Okore (14139712)

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<i>Pfmrp1</i> gene SNPs data during the study period. by Winnie Okore (14139712)

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Performance of selected drugs against field isolates during the study period. by Winnie Okore (14139712)

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Frequency of SNPs in <i>Pfmrp1</i> gene in field isolates during the study period. by Winnie Okore (14139712)

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<i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials. by Winnie Okore (14139712)

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<i>In vitro</i> susceptibility responses of field isolates to antimalarials during the study period. by Winnie Okore (14139712)

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Primers used for analysis of four SNPs in one gene. by Winnie Okore (14139712)

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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. …”