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This paper is the first in the literature on Environmental, Social, and Governance (ESG) investments and clean energy markets to employ a time-frequency-quantile framework, exploring the interrelations among energy commodities (such as oil, coal, and coke), clean energy equities, and ESG investments in China. The main findings reveal that, in the short term, clean energy equities are substantial net contributors, while commodity markets primarily act as recipients. Over a long horizon, ESG investments emerge as the foremost contributors, followed by coke and solar investments, while clean energy equities diminish in significance. Oil, nuclear equities, and green bonds are significant recipients in this dynamic. Furthermore, our analysis highlights the dominance of short-term shocks over long-term shocks in influencing these markets. Quantile analysis underscores unique behaviors under extreme market conditions. Notably, strong connections between oil and coke with other financial markets are observed during extreme periods, such as bull or bear phases, contrasting with their interactions under normal conditions. Conversely, coal exhibits strong interdependencies across various market scenarios, distinguishing it from the patterns observed for oil commodities. [ABSTRACT FROM AUTHOR]

[Display omitted] • Reconstituted meat-based products from minced fish exhibited some fibrousness. • Reconstituted fish steaks were prepared via different physical extrusion strength. • Appropriate physical extrusion endowed anisotropic reconstitution during frying. • Porosity and cross-linking network of multi-layered structure were characterized. • Low random coil and moisture content were found in nice multi-layered products. Multi-layered structure of reconstituted meat-based products from minced fish was formed by physical extrusion, followed by an investigation into the impact of extrusion strength on structural and physicochemical properties before and after frying. Under an appropriate pressure (3–9 kPa), the air within minced fish underwent enrichment and rearrangement to form a stratified phase, promoting the formation of multi-layered structure during frying. Conversely, the lower pressure (≤1.5 kPa) was insufficient for phase separation and directional rearrangement, while the higher pressure (≥15 kPa) would cause the stratified phase to flow out of food system. Moreover, by directly increasing water mobility and meat compactness, physical extrusion indirectly caused more water loss and stronger ionic bonds during frying, which was positively correlated with multi-layered structure. However, an excessive pressure caused an increase in random coil and hydrophobic interactions during frying, which was negatively correlated with multi-layered structure. In conclusion, appropriate physical extrusion strength promoted the formation of multi-layered structure. [ABSTRACT FROM AUTHOR]

Remanufacturing attains much attention from both industrial and academic sectors due to its beneficial roles in energy conservation and environment protection, where disassembly is a crucial part. To reach the comprehensive sustainability and global optimization of disassembling multiple end-of-life products, this paper suggests a multi-objective multi-product disassembly line balancing problem with considering disassembly profit, energy consumption and noise pollution simultaneously. According to the natures of the problem under consideration, a multi-objective integer programming model is constructed. Its goals are to reach maximum disassembly profit and realize minimum energy consumption while observing noise pollution requirements and resource constraints. Accordingly, a multi-objective group teaching optimization algorithm is specially devised. In it, rank and crowding distance methods are employed to partition the population into two groups. Moreover, precedence preserving crossover and mutation methods are severally used on the two groups to realize the teacher phase. Furthermore, to achieve the student phase, an adaptive local search method is applied to refine solutions in an external archive, and thus its exploitation ability is enhanced. By executing contrast experiments between the devised approach and its powerful competitors on a set of real-world test instances, the experimental results validate that it has highly-adaptive and well-superior performance in tackling the problem of concern. [Display omitted] [ABSTRACT FROM AUTHOR]