Browsing Research publications by Title
Now showing items 21751-21770 of 22823
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Using podcasts/audio downloads and an electronic voting system to transform a traditionally delivered module into a blended learning module
(Academic Conferences Ltd., 2007)At the authors‟ institution, blended learning is defined as “educational provision where high quality e-learning opportunities and excellent campus-based learning are combined or blended in coherent, reflective and innovative ... -
Using pre and post-processing methods to improve binding site predictions
(2009)Currently the best algorithms for transcription factor binding site prediction within sequences of regulatory DNA are severely limited in accuracy. In this paper, we integrate 12 original binding site prediction algorithms, ... -
Using problem-based learning to develop graduate skills
(2001)The Hertfordshire Integrated Learning Project’s (1)(HILP) model for developing Graduate Skills is based on the integration of skills development with academic content using problem-based learning (PBL) as the integrative ... -
Using qualitative research methods in paramedic practice
(Open University Press, 2012) -
Using randomised vectors in transcription factor binding site predictions
(Institute of Electrical and Electronics Engineers (IEEE), 2010)Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may or may not contain binding sites. This ... -
Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play
(Institute of Electrical and Electronics Engineers (IEEE), 2009)This paper presents an application of the Cascaded Information Bottleneck Method for real-time recognition of Human-Robot Interaction styles in robot-assisted play. This method, that we have developed, is implemented here ... -
Using real-valued meta classifiers to integrate and contextualize binding site predictions
(Springer Nature, 2007) -
Using real-valued metaclassifiers to integrate binding site predictions
(Institute of Electrical and Electronics Engineers (IEEE), 2005)Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. There is good reason to believe that predictions from these different classes of algorithms could be used in ... -
Using salt counterions to modify β2-agonist behaviour in vivo
(2016-10-03)There is a paucity of data describing the impact of salt counterions on the biological performance of inhaled medicines in vivo. The aim of this study was to determine if the coadministration of salt counterions influenced ... -
Using sampling methods to improve binding site predictions
(2006)Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling into SMOTE over-sampling technique, working with ... -
Using Self-Imitation to Direct Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2006)An evolutionary predecessor to observational imitation may have been self-imitation. Self-imitation is where an agent is able to learn and replicate actions it has experienced through the manipulation of its body by another. ... -
Using Sensory-Motor Phase-Plots to Characterise Robot-Environment Interactions
(Institute of Electrical and Electronics Engineers (IEEE), 2005)Information theoretic methods are used to characterise and identify robot-environment interactions, with a view to using these to build an embodied interaction history from the robot's perspective. A bottom-up approach is ... -
Using serum CA125 to assess the activity of potential cytostatic agents in ovarian cancer
(2014-05)Objective: New strategies are required to rapidly identify novel cytostatic agents before embarking on large randomized trials. This study investigates whether a change in rate of rise (slope) of serum CA125 from before ... -
Using Simple Neural Networks to Correct Errors in Optical Data Transmission.
(De Montfort University, 2008)We have demonstrated the applicability of neural-network-based systems to the problem of reducing the effects of signal distortion, and shown that such a system has the potential to reduce the bit-error-rate in the ... -
Using simulation modelling to transform hospital planning and management to address health inequalities
(2024-04)Health inequalities are a perennial concern for policymakers and in service delivery to ensure fair and equitable access and outcomes. As health inequalities are socially influenced by employment, income, and education, ... -
Using simulation to on-board clinical staff joining a new pediatric and women’s hospital
(2012)Introduction/Rationale Since the 1990s, simulation has been increasingly employed in healthcare as an educational strategy to supplement other types of instruction. This educational strategy is increasingly accepted as an ... -
Using single layer networks for discrete, sequential data: an example from natural language processing
(1997)Natural Language Processing (NLP) is concerned with processing ordinary, unrestricted text. This work takes a new approach to a traditional NLP task, using neural computing methods. A parser which has been successfully ... -
Using single layer networks for discrete, sequential data: an example from natural language processing. [extended version]
(University of Hertfordshire, 1996)Supervised, feed-forward networks will, in general, need more than one layer to process data. However, if they can be used, single layer networks offer advantages of functional transparency and operational speed. Now, in ... -
Using Social Media in Business-to-Business Marketing
(2013-08-20)Twitter, Facebook and LinkedIn have proven to be game changers in business-to-customer marketing, opening up whole new ways of enthusing the customer for your products or services. Ross Brennan and Robin Croft, both marketing ...