The effect of COVID-19 on informant use and management, during the peak imposed Government lockdown measures was felt across English Welsh police Dedicated Source Units. Within these restrictions, staff managing informants had to develop then implement new strategies that delivered safe, yet effective, handling capacity capability. Based a survey 205 respondents directly involved in handling, 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...

Performance metrics and evaluation criteria are used to develop a novel taxonomy which classifies barrier mechanisms into categories ranging from simple Static-Binding Idle-Tasking (SBIT) methods to robust Dynamic-Binding Any-Tasking (DBAT) methods. Such capabilities include support for multiple barriers, reconfigurable and reusable synchronization resources, and provisions for dynamic process...

The Ravenscar tasking profile for Ada 95 has been designed to allow implementation of highly safety critical systems in Ada. Ravenscar defines a tasking run-time system with deterministic behaviour and low complexity. We provide a formal model of the primitives provided by Ravenscar including exceptions. This formal model can be used to verify safety properties of applications targeting a Raven...