Barely Significant

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Calculate the information entropy, with the specific formula as follows 28 : 9 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H\left( x \right) = - \sum \left( {P_{i} * \log 2\left( {P_{i} } \right)} \right)\left( {i = 1,2,3,...,n} \right)$$\end{document} As shown in Table 1 , by comparing the information entropy of images before and after encryption, a significant trend can be observed: the information entropy of cipher images is significantly higher than that of ordinary images.
Specifically, the highly purified formulation “C” showed positive moderate/strong correlations with SIME (significant) and MEQ (approaching significance), while less purified formulations (“A” and “B”) demonstrated consistently negative correlations ( r = − 0.35 to − 0.42), although not reaching significance.
As the adjustable proportion of electric vehicle load decreases, the cost of interaction with the power grid increases, indicating that the amount of photovoltaic power on the grid decreases, that is, photovoltaic excess power is more used to charge electric vehicles than to connect them to the grid; The total charging cost of electric vehicles shows an increasing trend as the adjustable proportion of electric vehicle load decreases.
Sensitivity to bending exhibited an increasing trend during the initial cracking stage, but high temperatures exacerbate nonlinear fluctuations and noise interference, leading to unstable sensing responses. “Sensing capability begins to degrade notably after 400 °C, with weakened resistivity–stress correlation, and is significantly weakened at 800 °C”.