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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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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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)

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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Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

ngLVA degradation kinetics. by Nicole A. Grieshaber (11175417)

“…<p>Cos-7 cell infected with L2-euoprom-ngLVA, treated with 34 μg/ml chloramphenicol (CAM) or vehicle only (1:1000 EtOH in RPMI) at 35 hpi (arrow). …”

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…<p><b>(a)</b> Autocorrelation profiles of 53 key BO-NN features. Per feature, a black line shows the time point where the autocorrelation drops below .5. …”

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

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)