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A decision tree has been developed for evaluating risks posed by combined exposures to multiple chemicals. The decision tree divides combined exposures of humans and ecological receptors into groups where one or more components are a concern by themselves, ...
With this concept note, IRGC intends to help improve the understanding and governance of emerging risks that have impacts on human health and safety, the environment, the economy and society at large. It draws from a roundtable discussion in 2009 about why ...
We propose a new real-time load sharing policy (LSP), which optimally dispatches the incoming workload according to the current availability of the operators. Optimality means here that the global service permanently requires the engagement of a minimum nu ...
After introducing the challenges and failures of first generation e-government (identified as e-Gov 1.0), and the rhetoric of the next generation of e-government efforts (identified as e-Gov 2.0), this paper presents an analysis of the promises of m-govern ...
In the last decade, the exponential development of shale gas activities in United States resulted in a real revolution both in terms of gas prices and energy security. However, next to these positive effects, many risks and impacts for the environment and ...
We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in a collaborative manner some parameter of interest from their measurements. The centralized solution to the problem uses a fusion c ...
Institute of Electrical and Electronics Engineers2008
Current available risk analysis techniques are well adapted to industry needs since they were developed for its purpose. All hazards present in industry are also met in research/academia, although quantities of some hazardous substances are smaller. Still, ...
To optimally manage a metapopulation, managers and conservation biologists can favor a type of habitat spatial distribution (e.g. aggregated or random). However, the spatial distribution that provides the highest habitat occupancy remains ambiguous and num ...
Understanding how organisms deal with probabilistic stimulus-reward associations has been advanced by a convergence between reinforcement learning models and primate physiology, which demonstrated that the brain encodes a reward prediction error signal. Ho ...
We consider the problem of distributed estimation in adaptive networks where a collection of nodes are required to estimate in a collaborative manner some parameter of interest from their measurements. The centralized solution to the problem uses a fusion ...
