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Now showing items 8543-8562 of 24467
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Feasibility study of a randomised controlled trial to investigate the effectiveness of using a humanoid robot to improve the social skills of children with an Autism Spectrum Disorder (Kaspar RCT): A Study Protocol
(2017-06-22)Introduction: Interventions using robot-assisted therapy may be beneficial for the social skills development of children with autism spectrum disorder (ASD), however randomised controlled trials (RCTs) are lacking. The ... -
Feasibility Study of Connecting Nuclear Generation to the National Electricity Transmission System via HVDC Technology
(2016-09-01)High Voltage Direct Current (HVDC) technology has never before been used to connect a Nuclear Power Plant (NPP) directly to the National Electricity Transmission System (NETS). There are both technical and economic factors ... -
A feasibility study of mindfulness-based cognitive therapy for individuals with borderline personality disorder
(2011)Design : The design of the study was a repeated measures, quasi-experimental design employing within-subject and between-subject comparisons of a sample of participants with BPD. Based on previous studies and theoretical ... -
Feasibility study of the Home-based Exercises for Responsible Sex (HERS) intervention to promote correct and consistent condom use among young women
(2021-07-27)Background: Male condoms are effective in preventing common sexually transmitted infections (STIs) and unintended pregnancy, if used correctly and consistently. However, condom use errors and problems are common and young ... -
A feasibility study of using Kaspar, a humanoid robot for speech and language therapy for children with learning disabilities
(Institute of Electrical and Electronics Engineers (IEEE), 2023-11-13)The research presented in this paper investigates the feasibility of using humanoid robots like Kaspar as assistive tools in Speech, Language and Communication (SLC) therapy for children with learning disabilities. The ... -
Feasibility trial of cognitive behavioural therapy for fatigue in haemodialysis (BReF intervention)
(2020-10-14)OBJECTIVE: Fatigue affects at least half of patients who are on haemodialysis with considerable repercussions on their functioning, quality of life, and clinical outcomes. This study assessed the feasibility, acceptability, ... -
Feasibility, acceptability and practicality of transcranial stimulation in obsessive compulsive symptoms (FEATSOCS): A randomised controlled crossover trial
(2023-04-30)Background: Transcranial direct current stimulation (tDCS) is a non-invasive form of neurostimulation with potential for development as a self-administered intervention. It has shown promise as a safe and effective treatment ... -
Featherweight Go
(2020-11-13)We describe a design for generics in Go inspired by previous work on Featherweight Java by Igarashi, Pierce, and Wadler. Whereas subtyping in Java is nominal, in Go it is structural, and whereas generics in Java are defined ... -
Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition
(Institute of Electrical and Electronics Engineers (IEEE), 2010)This paper presents a spiking neural network-based investigation of the issues associated with extraction of onset, offset, and coincidental firing features from spectro-temporal data. Speech samples containing spoken ... -
Feature Fusion and Detection in Alzheimer’s Disease Using a Novel Genetic Multi-Kernel SVM Based on MRI Imaging and Gene Data
(2022-05-07)Voxel-based morphometry provides an opportunity to study Alzheimer’s disease (AD) at a subtle level. Therefore, identifying the important brain voxels that can classify AD, early mild cognitive impairment (EMCI) and healthy ... -
Feature Relevance in Ward’s Hierarchical Clustering Using the Lp Norm
(2015-04)In this paper we introduce a new hierarchical clustering algorithm called Ward p . Unlike the original Ward, Ward p generates feature weights, which can be seen as feature rescaling factors thanks to the use of the L p ... -
Feature selection for fault detection systems : Application to the Tennessee Eastman Process
(2011)A fault detection system based on data mining techniques is developed in this work. A novel concept of feature selection based on the k-way correlation is introduced and used to detect redundant measures relevant features ... -
Feature weighting as a tool for unsupervised feature selection
(2018-01-01)Feature selection is a popular data pre-processing step. The aim is to remove some of the features in a data set with minimum information loss, leading to a number of benefits including faster running time and easier data ... -
Feature Weighting for Clustering : Using K-Means and the Minkowski Metric
(LAP Lambert Academic publishing, 2012) -
Feature weighting in DBSCAN using reverse nearest neighbours
(2023-05-01)DBSCAN is arguably the most popular density-based clustering algorithm, and it is capable of recovering non-spherical clusters. One of its main weaknesses is that it treats all features equally. In this paper, we propose ... -
Features of central sensitisation in patients with shoulder pain : A feasibility study
(2019-12-01)Design. A case-control feasibility study, comparing people with unilateral shoulder pain and pain free controls. Background. Previous studies have suggested that central sensitisation (CS) may be present in people with ... -
Fecundity and lifespan manipulations in Caenorhabditis elegans using exogenous peptides
(2008)In this study using Caenorhabditis elegans, we have been able to suppress (> 60%) and enhance (> 40%) fecundity (number of offspring) while extending lifespan by a fifth, by administering synthetic peptides to the aqueous ... -
Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code.
(2021-04-01)In studies of the visual system as well as in computer vision, the focus is often on contrast edges. However, the primate visual system contains a large number of cells that are insensitive to spatial contrast and, instead, ... -
Feedback by massive stars and the emergence of superbubbles. I. Energy efficiency and Vishniac instabilities
(2013-01-24)Context. Massive stars influence their environment through stellar winds, ionising radiation, and supernova explosions. This is signified by observed interstellar bubbles. Such feedback is an important factor for galaxy ...