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Plasma filaments generated by turbulence in the scrape-off layer are sometimes observed in experi- ments and simulations to disconnect from the target plate in the vicinity of the X-point, resulting in a “quiescent zone” with reduced fluctuations, possibly ...
This thesis aims to further investigate rare natural disasters and studies adaptation decisions under uncertainty by solving several computational economic models. The modeling of rare natural disasters depends on the treatment of catastrophic outcomes wit ...
The response of microbes to external signals is mediated by biochemical networks with intrinsic time scales. These time scales give rise to a memory that impacts cellular behaviour. Here we study theoretically the role of cellular memory in Escherichia col ...
The recent burgeoning interest in massive multiobject spectroscopy has pushed the development of massive optical fiber positioning systems. These systems rely on precise fiber placement to detect the light spectra of many stars and galaxies. One successful ...
Cuts to government spending rather than increases in consumption taxes are statistically associated with internal devaluations in the euro area during the period 2010-2014. Countries that cut spending experienced a decline in nominal wages, rising net expo ...
We argue that the time-varying regional distribution of housing equity influences the aggregate consequences of monetary policy through its effects on mortgage refinancing. Using detailed loan-level data, we show that regional differences in housing equity ...
Cuts to government spending rather than increases in consumption taxes are statistically associated with internal devaluations in the euro area during the period 2010-2014. Countries that cut spending experienced a decline in nominal wages, rising net expo ...
Housing plays a crucial role in the transition towards sustainability. Zero-energy or low-carbon housing solutions are key, but their success depends on their acceptance by the users. We propose a conceptual and an operational framework for understanding h ...
Research on summarization has mainly been driven by empirical approaches, crafting systems to perform well on standard datasets with the notion of information Importance remaining latent. We argue that establishing theoretical models of Importance will adv ...