Search results for "TASK"
showing 10 items of 1658 documents
Computer Games and Fine Motor Skills
2012
The study seeks to determine the influence of computer games on fine motor skills in young adults, an area of incomplete understanding and verification. We hypothesized that computer gaming could have a positive influence on basic motor skills, such as precision, aiming, speed, dexterity, or tremor. We examined 30 habitual game users (F/M – 3/27; age range 20–25 years) of the highly interactive game Counter Strike, in which players impersonate soldiers on a battlefield, and 30 age- and gender-matched subjects who declared never to play games. Selected tests from the Vienna Test System were used to assess fine motor skills and tremor. The results demonstrate that the game users scored apprec…
Semantic context-processing deficit in thought-disordered schizophrenic patients: Evidence from new semantic priming paradigms
2006
Introduction. Disorders in the processing of the semantic context are now a well-established phenomenon in thought-disordered (TD) schizophrenic patients, and have been revealed especially well by studies that have made use of the experimental paradigm of lexical decision tasks coupled with semantic priming. The main question addressed by this study was the evaluation of the experimental conditions under which TD schizophrenic patients are able to deploy cognitive strategies for semantic context processing. Methods. We studied semantic priming in two double lexical decision tasks (i.e., involving the explicit processing of the prime word) using a sequential presentation of words (stimulus o…
Manipulating feedback on schizophrenia: Evidence from a Posner task.
2021
Abstract Individuals with schizophrenia show difficulties in achieving vital objectives. Abnormal behavioral and emotional responses to environmental feedback may be some of the psychological mechanisms underlying this lack of goal attainment in schizophrenia. The present study aims to assess how different types of feedback may affect performance in a computerized affective Posner task (non-monetary vs. monetary rewards; contingent vs. non-contingent feedback). The sample was composed of 32 patients with schizophrenia and 35 controls. Reaction times and error rates were the behavioral measurements. The emotional experience was assessed through self-reported affective scales. The results ind…
Commentary: Preliminary evaluation of an analog procedure to assess acceptability of intimate partner violence against women: the Partner Violence Ac…
2017
Acceptability of partner violence against women is a risk factor linked to its perpetration, and to public, professionals’ and victims’ responses to this behavior. Research on the acceptability of violence in intimate partner relationships is, however, limited by reliance solely on self-reports that often provide distorted or socially desirable accounts that may misrepresent respondents’ attitudes. This study presents data on the development and initial validation of a new analog task assessing respondents’ acceptability of physical violence toward women in intimate relationships: the Partner Violence Acceptability Movie Task (PVAM). This new analog task is intended to provide a more implic…
Introducing a core curriculum for respiratory sleep practitioners
2015
Abstract: The background and purpose of the HERMES (Harmonising Education in Respiratory Medicine for European Specialists) initiative has been discussed at length in previous articles [1–3]. This article aims to provide more detailed and specific insight into the process and methodology of the Sleep HERMES Task Force in developing a core curriculum in respiratory sleep medicine.
Severe eosinophilic asthma: a roadmap to consensus
2017
Asthma is widely accepted as a complex heterogeneous condition with diverse pathophysiological mechanisms, clinical presentations, comorbidities, physiological characteristics, pathology and outcomes that is typically best managed by a multidisciplinary team [1–4]. Severe asthma is recognised as a major unmet need with a high personal and social impact, as well as a high burden on healthcare resources [4]. As a consequence of advances in the development of precision medicines for patients with severe asthma, the need to identify asthma subtypes by phenotype based on clinical, functional or inflammatory parameters is becoming a mandatory part of management [4–6]. Severe eosinophilic asthma (…
Prevalence and risk factors for delirium in critically ill patients with COVID-19 (COVID-D): a multicentre cohort study
2021
Background: To date, 750 000 patients with COVID-19 worldwide have required mechanical ventilation and thus are at high risk of acute brain dysfunction (coma and delirium). We aimed to investigate the prevalence of delirium and coma, and risk factors for delirium in critically ill patients with COVID-19, to aid the development of strategies to mitigate delirium and associated sequelae. Methods: This multicentre cohort study included 69 adult intensive care units (ICUs), across 14 countries. We included all patients (aged ≥18 years) admitted to participating ICUs with severe acute respiratory syndrome coronavirus 2 infection before April 28, 2020. Patients who were moribund or had life-suppo…
Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts using Multi-task Learning and K-Space Motion Artefact Augmentation
2022
The movement of patients and respiratory motion during MRI acquisition produce image artefacts that reduce the image quality and its diagnostic value. Quality assessment of the images is essential to minimize segmentation errors and avoid wrong clinical decisions in the downstream tasks. In this paper, we propose automatic multi-task learning (MTL) based classification model to detect cardiac MR images with different levels of motion artefact. We also develop an automatic segmentation model that leverages k-space based motion artefact augmentation (MAA) and a novel compound loss that utilizes Dice loss with a polynomial version of cross-entropy loss (PolyLoss) to robustly segment cardiac st…
Quality control in the optical industry: From a work analysis of lens inspection to a training programme, an experimental case study
2007
A cognitive work analysis of quality inspection in the optical industry has been carried out in order to devise a training programme. The task concerned the inspection of high quality human eyeglass lenses. We conducted an experimental investigation of defect detection and acceptability decision-making tasks in 18 experts and novice inspectors. Detection and decision-making were investigated together and separately in two experimental sessions. We showed the effect of expertise on reaction times and errors, and we described the cognitive processes of novice inspectors. On the basis of the processing differences between the two groups, a training programme for new inspectors was devised and …
RabbitQC: high-speed scalable quality control for sequencing data
2019
Abstract Motivation Modern sequencing technologies continue to revolutionize many areas of biology and medicine. Since the generated datasets are error-prone, downstream applications usually require quality control methods to pre-process FASTQ files. However, existing tools for this task are currently not able to fully exploit the capabilities of computing platforms leading to slow runtimes. Results We present RabbitQC, an extremely fast integrated quality control tool for FASTQ files, which can take full advantage of modern hardware. It includes a variety of operations and supports different sequencing technologies (Illumina, Oxford Nanopore and PacBio). RabbitQC achieves speedups between …