Semantic enabled complex event language for business process monitoring

Efforts are being made to enable business process monitoring and analysis through processing continuously generated events. Several ontologies and tools have been defined and implemented to allow applying general-purpose Business Process Analysis techniques to specific domains. On this basis, a Semantic Enabled Monitoring Event Language (SEMEL) is proposed to facilitate defining complex queries over monitoring data so as to interleave temporal and ontological reasoning. In this paper, the formal semantics of SEMEL is discussed, and the implementation approach of SEMEL interpreter is also briefly described, which encompasses translation into an operational language

Maternal Employment and Childhood Obesity: A Search for Mechanisms in Time Use Data

Recent research has found that maternal employment is associated with an increased risk of childhood obesity. This paper explores mechanisms for that correlation. We estimate models of instrumental variables using a unique dataset, the American Time Use Survey, that measure the effect of maternal employment on the mother’s allocation of time to activities related to child diet and physical activity. We find that employed women spend significantly less time cooking, eating with their children, and playing with their children, and are more likely to purchase prepared foods. We find suggestive evidence that these decreases in time are only partly offset by husbands and partners. These findings offer plausible mechanisms for the association of maternal employment with childhood obesity.

A framework for feeding Linked Data to Complex Event Processing engines

A huge volume of Linked Data has been published on the Web, yet is not processable by Complex Event Processing (CEP) or Event Stream Processing (ESP) engines. This paper presents a frame-work to bridge this gap, under which Linked Data are first translated into events conforming to a lightweight ontology, and then fed to CEP engines. The event processing results will also be published back onto the Web of Data. In this way, CEP engines are connected to the Web of Data, and the ontological reasoning is integrated with event processing. Finally, the implementation method and a case study of the framework are presented

Instability of Dynamic Inventory Systems

We show in this paper that instability is an intrinsic cause of production variability in a dynamic inventory system. We first show that a unique stationary optimal policy exists for both full-backlog and lost-sales case and under the policy a firm replenishes its inventory to a constant target level. We then express the constant inventory target as the unique steady state of the Euler’s equation governing the dynamics of target inventories. We finally show that the Euler’s equation is locally instable at the steady state but a sufficiently large refund to unsold inventory in lost-sales case can stabilize the inventory system.stability, production variability, dynamic inventory system, full-backlog, lost-sales

Mechanisms for the Association Between Maternal Employment and Child Cognitive Development

Recent research has found that maternal employment is associated with worse child performance on tests of cognitive ability. This paper explores mechanisms for that correlation. We estimate models of instrumental variables using a unique dataset, the American Time Use Survey, that measure the effect of maternal employment on the mother's allocation of time to activities related to child cognitive development. We find that employed women spend significantly less time reading to their children, helping with homework, and in educational activities in general. We find no evidence that these decreases in time are offset by increases in time by husbands and partners. These findings offer plausible mechanisms for the association of maternal employment with child cognitive development.