Heterostructured materials as a new class of materials have excellent mechanical properties due to hetero-deformation induced (HDI) strengthening and hardening. However, how do heterostructural parameters affect the evolution of geometrically necessary dislocations (GNDs) and HDI stress remains...

Microstructure, texture and mechanical properties of extruded Mg- x Gd sheets (x =1.0, 1.5, 2.0 and 2.5 wt%) were discussed, and microstructural evolution of an Mg-1.0Gd alloy during extrusion were investigated. The extrudedMg- x Gd sheets presented a fully recrystallized microstructure. The...

While Magnesium (Mg) matrix composites have been intensively investigated as the promising light structural materials, the relatively low ductile nature limited their wide-scale applications. Herein, we report that AZ91 Mg matrix composites reinforced by Ti-6-Al-4V (TC4) particles were prepared...

For basal textured magnesium alloy subjecting to in-plane compression, the deformation is complicated since twinning, dislocation slipping and their intersecting are involved. In this work, a high-resolution digital image correlation (HR-DIC) technique combined with electron backscatter...

We construct investor sentiment of UK stock market using the procedure of principal component analysis. Using sentiment-augmented EGARCH component model, we analyse the impacts of sentiment on market excess return, the permanent component of market volatility and the transitory component of...

Christopher Alexander argued that modernist approach to architecture prioritizes innovation, abstraction, and mechanistic efficiency at the expense of human-centered and organic values. According to Christopher Alexander, this shift has led to a proliferation of buildings that are visually...

In this paper, we propose a multivariate quantile regression method which enables localized analysis on conditional quantiles and global comovement analysis on conditional ranges for high-dimensional data. The proposed method, hereafter referred to as FActorisable Sparse Tail Event Curves, or...

For many applications, analyzing multiple response variables jointly is desirable because of their dependency, and valuable information about the distribution can be retrieved by estimating quantiles. In this paper, we propose a multi-task quantile regression method that exploits the potential...

A multivariate quantile regression model with a factor structure is proposed to study data with many responses of interest. The factor structure is allowed to vary with the quantile levels, which makes our framework more flexible than the classical factor models. The model is estimated with the...