The paper explores the changes in determinants of interprovincial inequality China during period 2000 to 2017 by way bi-dimensional decomposition method. method integrates two decompositions both regional groups and gross product components, helping us evaluate contributions components within-region between-region inequalities, overall inequality. It is found that exhibited a declining trend “W...

The fluorescence properties of tryptophan residues are sensitive to the microenvironment of tryptophan fluorophores in proteins. Therefore, fluorescence characteristics are widely used to study structural transitions in proteins. We have developed algorithms for the decomposition of multi-component protein fluorescence spectra and the correlation of these spectral parameters with protein struct...

CO2 emissions from China accounted for 27 per cent of global emisions in 2019. More than one third China's come the thermal electricity and heating sector. Unfortunately, this area has received limited academic attention. This research aims to find key drivers sector, as well investigating how energy policies affect those drivers. We use data 2007 2018 decompose into four types, namely: structu...

The structural properties and activities of Cu-Co catalysts used in Fischer-Tropsch synthesis are explored according to their method of preparation. Impregnation, co-precipitation, and a novel method of thermal decomposition were applied to an inorganic precursor complex to generate the Cu-promoted alumina- and silica-supported cobalt catalysts. The precursors and the catalysts obtained by ...

in this paper some new applications of empirical mode decomposition (emd) and hilbert spectrum in seismic ground-roll attenuation, random noise attenuation and spectral decomposition are introduced. hilbert spectrum is a time-frequency representation for hilbert-huang transform which is obtained by combination of instantaneous frequency (if) concept and intrinsic mode function of empirical mode...

This work presents the isotropic and orthogonal decomposition of 2D signals into local geometrical and structural components. We will present the solution for 2D image signals in four steps: signal modeling in scale space, signal extension by higher order generalized Hilbert transforms, signal representation in classical matrix form, followed by the most important step, in which the matrixvalue...