To test for an association between the LRRK2-G2019S mutation and gait, we studied 52 first-degree relatives of patients with Parkinson’s disease (PD) who carry this mutation. An accelerometer quantified gait during usualwalking, fast-walking, and dual-tasking. Noncarriers (n 1⁄4 27) and carriers (n1⁄4 25) were similar with respect to age, gender, height, and gait speed during all conditions. Du...

Multi-context team decision making under time stress is an extremely challenging issue faced by various real world application domains. In this study we employ an experience-based cognitive agent architecture (R-CAST) to address the informational challenges associated with military command and control (C) decision making teams, the performance of which can be significantly affected by dynamic c...

To test for an association between the LRRK2-G2019S mutation and gait, we studied 52 first-degree relatives of patients with Parkinson's disease (PD) who carry this mutation. An accelerometer quantified gait during usual-walking, fast-walking, and dual-tasking. Noncarriers (n = 27) and carriers (n = 25) were similar with respect to age, gender, height, and gait speed during all conditions. Duri...

We present several formal program refinement rules for designing multi-tasking programs with hard real-time constraints.

We describe using OpenMP to compute δ-hyperbolicity, a quantity of interest in social and information network analysis, at a scale that uses up to 1000 threads. By considering both OpenMP workshare and tasking models to parallelize the computations, we find that multiple task levels permits finer grained tasks at runtime and results in better performance at scale than worksharing constructs. We...

Research on the limitations of dual-tasking might profit from using setups with a predictable sequence stimuli and responses assessing acquisition of this sequence. Detrimental effects implicit learning in serial reaction time task (SRTT; Nissen & Bullemer, 1987) – when paired with an uncorrelated have been attributed to participants’ lack separating the streams events in either task. Assuming ...

In this work, we adhere to explore a Multi-Tasking learning (MTL) based network perform document attribute classification such as the font type, size, emphasis and scanning resolution of image. To accomplish these tasks, operate on either segmented word level or uniformed size patches randomly cropped out document. Furthermore, hybrid convolution neural (CNN) architecture ”MTL+MI”, which is com...