artificial neural networks (ann) have shown to be a powerful tool for system modeling in a wide range of applications. the focus of this study is on neural network applications to data analysis in egg production. an ann model with two hidden layers, trained with a back propagation algorithm, successfully learned the relationship between the input (age of hen) and output (egg production) variabl...

Interannual to multidecadal variability of winter storminess in the eastern United States was studied using water level measurements from coastal tide gauges. The proximity to the coast of the primary winter storm track in the region allows the use of tide gauges to study temporal modulations in the frequency of these storms. Storms were identified in high-passed, detided sea level anomalies in...

aim and background: this study was aimed to investigate the possibility of predicting success or failure in marital relationships according to adult attachment styles and religious attitudes. method and materials: this was a case-control study. the sample consisted of 49 divorce-seeking and 52 intact couples. the divorce-seeking and intact couples were respectively selected through convenient a...

In this paper, we investigate the degree to which power dissipation induced by program execution can be measured by application-level software tools and predicted by a compiler and runtime system. Application control of the power it uses while executing on a processor is critical to battery-powered mobile devices that are an integral to any realization of ubiquitous computing. Our work investig...