Abstract: A use of nitrogen-doped carbon fluorescent quantum dots in preparation of aerobic glycolysis detection products is provided. The carbon-nitrogen fluorescent quantum dots are selected from one or more of C3N4 quantum dots, C2N quantum dots, and C3N quantum dots. The aerobic glycolysis detection products are reagents, based on a final volume of the reagents, the reagents comprise the carbon-nitrogen fluorescent quantum dots with a final concentration of 1 ?g/mL-1 mg/mL. The present disclosure realizes fluorescent labeling of NAD+ in living cells using the carbon-nitrogen fluorescent quantum dots, thus achieving fluorescent labeling and imaging of cells having aerobic glycolysis, which has the advantages of low cost, high efficiency, rapidity, and high accuracy.

Abstract: An analysis method for the causal inference of human physiological network in multiscale time series signals includes the following steps: S1: decomposing physiological signals u1, u2, . . . , um to be analyzed by using a noise-assisted multivariate empirical mode decomposition (NA-MEND) algorithm; S2: carrying out a causal analysis between two different physiological signals ui, uj, where i=1, 2, . . . , m, j=1, 2, . . . , m, and i?j, to obtain a causality between the two signals; and S3: repeating step S2 for any two signals in u1, u2, . . . , um until a causality between each two signals in u1, u2, . . . , um is obtained to form the causal network. The present invention can effectively analyze the causal network of the physiological signals, thereby facilitating the application of the physiological signals.