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The relations between these four systems are as follows: S4 is stronger than T; i.e., it contains all the theorems of T and others besides.
It uses two kinds of classifiers (support vector machines (SVM) and decision tree (DT)) during training and testing phases and two kinds of feature selection criteria (Principal Component Analysis (PCA) and Fisher Discriminant Ratio (FDR)), thus, leading to an exhaustive comparison between these four systems.
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"We're seeing direct evidence for the interactions between these two systems during learning, which hasn't been seen before.
The hybridization between these two systems makes it possible to produce micro-energies as well.
In spite of significant differences between these two systems, a deviation from the idealized Ising configuration is demonstrated in both cases.
The mechanism(s) of the interaction between these two systems has not clarified yet, but one could speculate about an involvement of cholecystokinin (CCK).
The different copolymerization behaviours between these two systems were attributed to the different monomer ratios in polymerization loci.
As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems.
The short-term interactions between these two systems can be highly significant and influential to their individual performance.
The difference between these three systems lies in the immobilization of two or three enzymes into a single or in different sol gel slides.
Between these two systems, the lighting and the power supply system, a command and control unit has to operate to ensure an accurate system management.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com