Multifractal temporally weighted detrended partial cross-correlation analysis of two non-stationary time series affected by common external factors

Effects of heating process on 3D printing properties of Pennahia argentata surimi: Water distribution, gel formation, rheology, chemical bonds

“…The correlations between the materials properties were easy to be discovered from Figure 7. Bivariate correlation analysis indicates the correlations of two variables, partial correlation analysis meant that the correlations of special variables when some variables were controlled (Li, Hu, Hu, et al, 2021; Li, Hu, Liu, et al, 2021; Li, Ling, & Yu, 2021; Zhao et al, 2021). According to the bivariate correlation analysis of Figure 7b, chemical bonds, gel strength, texture, and rheological properties of materials all had significant correlations with each other and heating temperature as well as the heating time.…”

“…Depending on the method of Li, Hu, Hu, et al, 2021; Li, Hu, Liu, et al, 2021; Li, Ling, & Yu, 2021 and improving it, the Differential Scanning Calorimeter (DSC‐600, Nanjing Huicheng Instruments Co., Ltd.) was used to determine the thermal stability of proteins. For temperature scanning: the proteins were heated from 4°C to 120°C at a rate of 5°C/min.…”

“…3D printing is a new technology of layer‐by‐layer printing. It has great potential and gradually been widely used in food processing due to its characteristics (forming without a mold) (Li, Hu, Hu, et al, 2021; Li, Hu, Liu, et al, 2021; Li, Ling, & Yu, 2021). While the specific properties of materials for printing are necessary for the success of printed foods, such as fluid properties, gel strength, texture, which led to its being easily extruded from the printer nozzle and quickly solidified after extrusion (Liu et al, 2017).…”

“…Additionally, nutritional foods also are suitable to be processed by 3D printing technology, because the different materials could be better combined to form personal foods through the technology (Gurrala & Regalla, 2014). While the materials used for printing also should have corresponding properties with the suitable fluidity and supporting structure, such as the materials whose main ingredient is protein, starch or gel (Li, Hu, Hu, et al, 2021; Li, Hu, Liu, et al, 2021; Li, Ling, & Yu, 2021).…”

Navigating Choppy Waters: Interplay between Financial Stress and Commodity Market Indices

“…To uncover the multifractal properties of two cross-correlated non-stationary indicators, Zhou [63] devised multifractal detrended cross-correlation analysis (MFDCCA, alternatively termed MFDXA), a consolidation of the MFDFA and DCCA methods. Since then, DCCA and MFDCCA have been extensively utilized in fields such as finance, chemistry and geophysics [88][89][90][91]. Regarding empirical investigation, several studies applied the MFDCCA approach to explore the cross-correlations between two financial time series, for instance efficiency of stock prices, Cryptocurrency prices and economic policy uncertainty, commodity prices and energy market, tourism and supply chain management [92][93][94][95][96][97][98][99].…”