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Second order method of multiple scales has been used to study the stability of the system for simply supported and clamped free sandwich beams.
Scale invariance, the property relating time series across multiple scales, has provided a new perspective of physiological phenomena and their underlying control systems.
As the social and environmental impacts of human activity have become more evident, the role of sustainable development as an organising principle in a variety of policy contexts and over multiple scales has become central.
In the area of materials development, the guiding concept of bio-inspired hierarchical structures combined with controlled fabrication at multiple scales has the potential to result in substantially improved mechanical performance.
Over the years, the availability of highly informative but complex physiological data over multiple scales has steadily increased, paving the way for detailed modeling approaches.
Furthermore, simultaneous evaluation or comparison of structures at multiple scales has also been attempted in macroscopic brain studies (Sporns et al. 2007; Bassett et al. 2011; Shen et al. 2012; Shimono 2013).
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Erosion studies at multiple scales have shown selectivity in particle transport and delivery can be inferred from nutrient enrichment.
Therefore, multiple scales have been proposed to assess the quality of trials included in a meta-analysis in order to decrease bias due to the inclusion of low-quality trials.
Developing robust simulation tools for problems involving multiple mathematical scales has been a subject of great interest in computational mathematics and engineering.
The second-order character of self-similar network traffic, i.e. its correlation existing at multiple time scales, has an enormous impact on network performance, which has been widely studied.
The importance of considering coupled interactions across multiple population scales has not previously been studied for highly pathogenic avian influenza (HPAI) in the British commercial poultry industry.
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