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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Decreasing oxygen saturation with corresponding levels of NLR and D-dimer for understanding the interplay of inflammation. by Narendran Gopalan (110148)

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)

The decrease in blood flow disrupts CV pruning. by Lin Wen (557398)

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

JBPOS0101 decreased Amyloid Beta (Aβ) aggregates in the cortex and hippocampal regions in 5xFAD mouse brains. by Jihoon Jeong (4852690)

Performance of selected antimalarials against field isolates 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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Number of samples per site 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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<i>In vitro</i> susceptibility responses of field isolates to antimalarials 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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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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Boron Leaching Decreases withIncreases on Soil pH by Alessandra Aparecida de Sá (12700698)

“…The experiment was carried out in the laboratory in 2012, and treatments consisted of a factorial combination of two rates of liming (without and with lime to raise the soil pH to 6.0) and five rates of B (0, 10, 20, 50 and 100 mg kg-1, as boric acid). …”

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)