Microbial fuel cells (MFCs) are processes used for simultanuous bioenergy capturing and waste treatment. In this study, a model for MFCs based upon a conduction mechanism for electron transfer is proposed, which integrates substrate utilization, current production and conduction and  microbial distribution and growth in batch flow mode. The outputs of the model and that of a mediator based mode...

People who attach personal importance to an attitude are especially knowledgeable about the attitude object. This article tests an explanation for this relation: that importance causes the accumulation of knowledge by inspiring selective exposure to and selective elaboration of relevant information. Nine studies showed that (a) after watching televised debates between presidential candidates, v...

A supply chain disruption is an unanticipated event that disrupts the flow of materials in a chain. Any given could have significant negative impact on entire Supply network designs usually consider two stage decision process business environment. The first deals with strategic levels, such as to determine facility locations and their capacity, while second considers tactical level, production ...

PACSR, a probabilistic extension of the real-time process algebra ACSR, is presented. The extension is built upon a novel treatment of the notion of a resource. In ACSR, resources are used to model contention in accessing physical devices. Here, resources are invested with the ability to fail and are associated with a probability of failure. The resulting formalism allows one to perform probabi...

Infrastructure systems, such as wind farms, are prone to various human-induced and natural disruptions extreme weather conditions. There is growing concern among decision makers about the ability of farms withstand regain their performance when facing disruptions, in terms resilience-enhanced strategies. This paper proposes a probabilistic model calculate resilience disruptive In this study, co...

Disruptions in airline operations can result in infeasibilities in aircraft and passenger schedules. Airlines typically recover aircraft schedules and disruptions in passenger itineraries sequentially. However, passengers are severely affected by disruptions and recovery decisions. In this paper, we present a mathematical formulation for the integrated aircraft and passenger recovery problem th...

Clustering in high-dimensions poses many statistical challenges. While traditional distance-based clustering methods are computationally feasible, they lack probabilistic interpretation and rely on heuristics for estimation of the number clusters. On other hand, model-based techniques often fail to scale devising algorithms that able effectively explore posterior space is an open problem. Based...