Lehman Brother analyst Jeffrey Bernstein believes that McDonald's momentum "can be sustained without making heroic changes to their already strong and stable business model, predicated on quick service category leading fundamentals and consistently increasing shareholder value creating initiatives".
Or are they leading a fundamental shift in the role of business in society?
The advent of DG penetration is leading to fundamental changes in distribution network exploitation and exploration.
These centers should carry out long-term nanoscience and engineering research leading to fundamental discoveries of novel applications, processes, phenomena, and enabling tools.
The underlying subject of this research is to explore the remarkable ability of mathematical (applied mechanics) and physical concepts leading to fundamental insights behind fish biology.
It has been highlighted that depending on the precoding schemes, the transmitted signal experiences different equivalent channels, therefore leading to fundamental differences in terms of capacity, SNR gain, and diversity exploitation capability.
A vast body of information leading to fundamental knowledge on the catalytic process was obtained by Academician [G.K. Boreskov, Catalysis in Sulphuric Acid Production, Goskhimizdat (in Russian), Moscow, 1954, p. 348].
In occasion of the century anniversary of the pioneering paper by Wieghardt on splitting and cracking of elastic bodies, and of the half-a-century anniversary of the Irwin's paper on the analysis of stresses and strains near the end of a crack, we propose a review of the most important contributions leading to fundamental advances in this research field.
It shows how the existing evidence converges on a handful of factors involved in radicalisation, including negative life experiences leading to fundamental uncertainty or loss of significance, which spur on the search for and identity shift towards groups with strong norms and ideals, including sacred values that enable extreme ingroup defences (e.g. acts of terrorism).
From a rare events perspective, scheduling disciplines that work well under light (exponential) tailed workload distributions do not perform well under heavy (power) tailed workload distributions, and vice versa, leading to fundamental problems in designing schedulers that are robust to distributional assumptions on the job sizes.
