The inward momentum flux driven by the off-diagonal pressure gradient in a fluid model for ion temperature gradient turbulence with large Richardson number is significantly reduced by the excitation of stable eigenmodes. This is accomplished primarily through the amplitude autocorrelation of the damped eigenmode, which, in the flux, directly counteracts the quasilinear contribution of the unsta...

A comparison between two known strategies of modeling lap joint interfaces, namely, zero-thickness and thin layer interface theories and their associated updating procedures, is made. Finite element...

This paper describes a general instance-based learning model of sensemaking in the context of geospatial intelligence tasks. Building upon a model previously described in Lebiere, Pirolli, Thomson et al. (2013), our model captures human performance across two tasks involving generating and updating likelihoods based on simulated geospatial intelligence. The model predicted human performance in ...

The Damped and Delayed Sinusoidal (DDS) model is suitable for modeling compactly short time events (as the audio transient for instance). This property is closely related to its ability to reduce the time-support of each sinusoidal component. In this work, we derive an analytical and numerical conditional CRB for this model. In particular, we show that this model has, in general and at least, s...