Multi-task Design Research Articles

Differential reconfiguration of brain networks in children in response to standard versus rewarded go/no-go task demands.

Response inhibition and sustained attention are critical for higher-order cognition and rely upon specific patterns of functional brain network organization. This study investigated how functional brain networks reconfigure to execute these cognitive processes during a go/no-go task with and without the presence of rewards in 26 children between the ages of 8 and 12 years. First, we compared task performance between standard and rewarded versions of a go/no-go task. We found that the presence of rewards reduced commission error rate, a measure considered to indicate improved response inhibition. Tau, thought to index sustained attention, did not change across task conditions. Next, changes in functional brain network organization were assessed between the resting state, the standard go/no-go task, and the rewarded go/no-go task. Relative to the resting state, integration decreased and segregation increased during the standard go/no-go task. A further decrease in integration and increase in segregation was observed when rewards were introduced. These patterns of reconfiguration were present globally and across several key brain networks of interest, as well as in individual regions implicated in the processes of response inhibition, attention, and reward processing. These findings align with patterns of brain network organization found to support the cognitive strategy of sustained attention, rather than response inhibition, during go/no-go task performance and suggest that rewards enhance this organization. Overall, this study used large-scale brain network organization and a within-subjects multi-task design to examine different cognitive strategies and the influence of rewards on response inhibition and sustained attention in late childhood.

DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning

Proteins with intrinsically disordered regions (IDRs) are common among eukaryotes. Many IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported by computational predictors, but to date, only one tool that predicts interactions with nucleic acids was released, and recent assessments demonstrate that current predictors offer modest levels of accuracy. We have developed DeepDISOBind, an innovative deep multi-task architecture that accurately predicts deoxyribonucleic acid (DNA)-, ribonucleic acid (RNA)- and protein-binding IDRs from protein sequences. DeepDISOBind relies on an information-rich sequence profile that is processed by an innovative multi-task deep neural network, where subsequent layers are gradually specialized to predict interactions with specific partner types. The common input layer links to a layer that differentiates protein- and nucleic acid-binding, which further links to layers that discriminate between DNA and RNA interactions. Empirical tests show that this multi-task design provides statistically significant gains in predictive quality across the three partner types when compared to a single-task design and a representative selection of the existing methods that cover both disorder- and structure-trained tools. Analysis of the predictions on the human proteome reveals that DeepDISOBind predictions can be encoded into protein-level propensities that accurately predict DNA- and RNA-binding proteins and protein hubs. DeepDISOBind is available at https://www.csuligroup.com/DeepDISOBind/.

A Comparison of English Vocabulary in the Spoken Production of One Non-native Long-residency Group, One Non-native University Group and One Native Group in Three Tasks

This study investigates the rate of high- and low-frequency words, types and tokens, in L2 spoken English by two advanced Swedish groups, one studying English at a Swedish university and one living and working in London. They were compared to an English native group and to one another. The material had a multitask design: a role play, an interview and an online-narration. The results for the two non-native groups showed vulnerability on both frequency levels depending on task. Only the London group was nativelike across frequencies in the role play confirming our expectation. The results also show that the London group performed the tasks with a higher degree of lexical diversity and fluency than the university group.

Preparation and characterization of alginate based-fluorescent magnetic nanoparticles for fluorescence/magnetic resonance multimodal imaging applications

Simple and versatile methodologies have been reported that customize the surface of superparamagnetic iron oxide (SPIO) nanoparticles and impart additional fluorescence capabilities to these contrast agents. Herein, we present the rational design, synthesis, characterization, and biological applications of a new magnetic-based fluorescent probe. The dual modality imaging protocol was developed by labeling fluorophore with alginate natural polymers that have excellent biocompatibility and biodegradability, and using gelification method to form nanocomposites containing SPIO. The formation of alginate-based fluorescent magnetic (AFM) nanoparticles was observed in spherical and elliptical forms with a diameter of less than 500 nm by a transmission electron microscope (TEM). The fluorescent wavelength band in the range of 560 nm was also confirmed in the UV–visible spectrophotometer. In this study, we demonstrate that the multi-tasking design of AFM nanoparticles provides an ideal platform for building balanced dual-image probes of magnetic resonance imaging and optical imaging.

Behaviour and performance comparison between FreeRTOS and µC/OS-III

As the prevalence of embedded systems in various fields has spread, real-time operating systems (RTOSs) have been widely used for many years satisfying real-time requirements and a multitasking design. The use of RTOS adds additional overhead to a system, which should be deliberately considered and evaluated in some critical systems. This paper presents a qualitative and quantitative comparison between an open-source RTOS (FreeRTOS V8.0.0) and a commercial one (?C/OS-III). Both RTOS use a preemptive multitasking kernel, with additional support for round robin scheduling. We aim to benchmark and evaluate their performance and behaviour, including seven performance tests and two behaviour tests. Comparing the measurement results shows that the commercial µC/OS-III does not behave much better than FreeRTOS. Furthermore, we discovered that the priority changing function of µC/OSIII does not behave correctly in some circumstances. Although FreeRTOS has no such problem in the latest version, it still has a problem with its dynamic memory management.

Filtration software: Shedding light on fluid flow system design

Design analysis and simulation techniques have come a long way from the days of slide rules and drafting tables. The next step, claims Jim Spann of Blue Ridge Numerics, is putting fluid flow simulation capabilities into the hands of multi-tasking design engineers, potentially saving costs and energy further along in the filtration process.

Simultaneous Assessment of Motor and Language Areas with a Single Functional MR Imaging Paradigm: Feasibility

The purpose of this study was to test a hybrid multitask paradigm in healthy subjects and in a patient at preoperative functional magnetic resonance (MR) imaging. In this new paradigm, tasks related to different centers of brain function (motor and language) are performed in alternation during a single functional MR imaging examination, without the typical rest period, to improve time efficiency without compromising the quality of activation maps. The institutional review board approved the study, and all participants gave informed prior consent. The study complied with the Health Insurance Portability and Accountability Act. Seven healthy right-handed volunteers (four men, three women; age range, 22-40 years) were studied first. In both individual and group analyses, there was no statistically significant difference in results between assessment with the multitask design and that with the traditional block design. An advantage of the new paradigm was substantial time savings because the subject was engaged during the entire examination. Finally, the multitask design was tested in a patient undergoing preoperative evaluation, with similar results; therefore, use of the multitask design is feasible in a clinical setting.

Task scheduling policies for real-time systems

The software of modern real-time embedded systems is frequently very complex. Many applications occupy a megabyte or more of code 1. Application programmers are increasingly adopting a multi-tasking design approach to produce reliable and predictable software. To support such implementations, system support in the form of real-time operating systems or real-time executives is required, and central to these is the task scheduler and its associated scheduling policies. Scheduling software must be optimized for small size, fast interrupt response and fast context switching. These requirements are very demanding of scheduling policy and implementation. It is not sufficient that a scheduler functions as required; it must also perform in ‘real-time’. This paper describes a variety of task scheduling policies for use with real-time embedded systems, including commonly used practical strategies as well as new ideas from the research community. The performance of these policies is compared using simulation techniques.

XGKS—A multitask implementation of GKS

A multitask design for GKS is presented, a realization aiming small computers and intelligent graphic hardware.