Floods are one of nature's most destructive disasters because of the immense damage to land,buildings,and human *** is difficult to forecast the areas that are vulnerable to flash flooding due to the dynamic and compl...
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Floods are one of nature's most destructive disasters because of the immense damage to land,buildings,and human *** is difficult to forecast the areas that are vulnerable to flash flooding due to the dynamic and complex nature of the flash ***,earlier identification of flash flood susceptible sites can be performed using advanced machine learning models for managing flood *** this study,we applied and assessed two new hybrid ensemble models,namely Dagging and Random Subspace(RS)coupled with Artificial Neural Network(ANN),Random Forest(RF),and Support Vector Machine(SVM)which are the other three state-of-the-art machine learning models for modelling flood susceptibility maps at the Teesta River basin,the northern region of *** application of these models includes twelve flood influencing factors with 413 current and former flooding points,which were transferred in a GIS *** information gain ratio,the multicollinearity diagnostics tests were employed to determine the association between the occurrences and flood influential *** the validation and the comparison of these models,for the ability to predict the statistical appraisal measures such as Freidman,Wilcoxon signed-rank,and t-paired tests and Receiver Operating Characteristic Curve(ROC)were *** value of the Area Under the Curve(AUC)of ROC was above 0.80 for all *** flood susceptibility modelling,the Dagging model performs superior,followed by RF,the ANN,the SVM,and the RS,then the several benchmark *** approach and solution-oriented outcomes outlined in this paper will assist state and local authorities as well as policy makers in reducing flood-related threats and will also assist in the implementation of effective mitigation strategies to mitigate future damage.
Objective:To study the in vivo efficacy of these two ACTs in the treatment of Plasmodium falciparum {*** malaria) in Kolkata and to detennine the prevalence of mutant S769N codon of the PfATPase6 gene among field isol...
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Objective:To study the in vivo efficacy of these two ACTs in the treatment of Plasmodium falciparum {*** malaria) in Kolkata and to detennine the prevalence of mutant S769N codon of the PfATPase6 gene among field isolates of *** collected from the study area. Methods:A total of 207 *** positive cases were enrolled randomly in two study arms and followed up for 42 days as per WHO(2009) protocol.A portion of PfATPase6 gene spanning codon S769N was amplified and sequenced by direct sequencing ***:It was observed that the efficacy of bodi the ACT regimens were highly effective in the study area and no mutant S769N was detected from any ***:The used,combination AS+SP is effective and the other combination AM+I.F might be an alternative,if needed.
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