Browsing University of Hertfordshire by Title
Now showing items 8451-8470 of 24184
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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 ... -
Feedback by massive stars and the emergence of superbubbles. II. X-ray properties
(2014-06-20)Context. In a previous paper we investigated the energy transfer of massive stars to the interstellar medium (ISM) as a function of time and the geometrical configuration of three massive stars via 3D-mesh-refining ... -
Feedback from massive stars at low metallicities : MUSE observations of N44 and N180 in the Large Magellanic Cloud
(2018-10-05)We present MUSE integral field data of two HII region complexes in the Large Magellanic Cloud (LMC), N44 and N180. Both regions consist of a main superbubble and a number of smaller, more compact HII regions that formed ... -
Feedback in Action : An 'in-school' music education programme for primary teachers
(2017-07-17)My research explores the development of generalist primary teachers’ attitudes, musical understanding and practices during a one year ‘in-school’ music education professional development programme in an urban school. The ... -
Feedback in Action : An innovative approach to developing primary teachers’ attitudes, musical understanding and practices
(2016-10-24)My research addresses issues of professional development in music education with reference to a one year ‘in-school’ programme of training provided by a nationally renowned music education charity in an urban primary school. ... -
The Feedback Intervention Trial (FIT) - improving hand-hygiene compliance in UK healthcare workers : a stepped wedge cluster randomised controlled trial
(2012-10-23)Introduction: Achieving a sustained improvement in hand-hygiene compliance is the WHO’s first global patient safety challenge. There is no RCT evidence showing how to do this. Systematic reviews suggest feedback is most ...