<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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Comparison of network throughput between eHMP and EOPAPS. by Khong-Lim Yap (8357256)

Pro- and anti-inflammatory cytokines are significantly decreased at acute time points following IR. by Jordan A. Gunning (18143970)

PI+ CD3+ T cells decrease at day 14 after IR while PI+ CD3- cells decrease at all time points. by Jordan A. Gunning (18143970)

Network throughput of MPTCP and heterogeneous handover using eHMP. by Khong-Lim Yap (8357256)

Average throughput between eHMP and EOPAPS in each range. by Khong-Lim Yap (8357256)

Change of the switch point between dual-E and single-E control with decreasing values of <i>k</i>₉, <i>k</i>₁₁, and <i>k</i>₁₃. by Qaiser Waheed (5095328)

The decrease of similarity between the displacement of the center of pressure (COP) and the gaze point inhibited the displacement of the COP. by Hikaru Nakahara (13955347)

Average throughput of MPTCP and heterogeneous handover using eHMP in each range. by Khong-Lim Yap (8357256)

Equilibrium points and their corresponding eigenvalues of Eq (5). by Xinghua Fan (7344632)

RSSI of connected WiFi AP in MPTCP and heterogeneous handover using eHMP. by Khong-Lim Yap (8357256)

The average retransmission rate using the proposed eHMP, MPTCP and MPTCP with mobility prediction. by Khong-Lim Yap (8357256)

Loss of FOXP1 results in decreased number of bRGCs. by Seon Hye E. Park (16765033)

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)