Search alternatives:
means decrease » mean decrease (Expand Search), deaths decreased (Expand Search)
ns decrease » _ decrease (Expand Search), a decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
20 means » _ means (Expand Search), k means (Expand Search), a means (Expand Search)
means decrease » mean decrease (Expand Search), deaths decreased (Expand Search)
ns decrease » _ decrease (Expand Search), a decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
20 means » _ means (Expand Search), k means (Expand Search), a means (Expand Search)
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Thermal denaturation of ZIKV NS2B/NS3<sup>pro</sup> and CHIKV nsP2<sup>pro</sup> using fluorescence spectroscopy.
Published 2021“…<b>B:</b> Plot of the native protein fraction (fN) and the unfolding protein fraction (fU), during thermal denaturation from 20 to 85°C. With increasing temperature fN decrease and fU increase, on the intersection of both curves the melting temperature (T<sub>m</sub>) of 43°C was determined for ZIKV NS2B/NS3<sup>pro</sup>. …”
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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses
Published 2025“…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. …”
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K-means++ clustering algorithm.
Published 2025“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”
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