Capturing Regular Human Activity through a Learning Context Memory

A learning context memory consisting of two main parts is presented. The first part performs lossy data compression, keeping the amount of stored data at a minimum by combining similar context attributes — the compression rate for the presented GPS data is 150:1 on average. The resulting data is stored in an appropriate data structure highlighting the level of compression. Elements with a high level of compression are used in the second part to form the start and end points of episodes capturing common activity consisting of consecutive events. The context memory is used to investigate how little context data can be stored containing still enough information to capture regular human activity

Motivating Students towards Online Learning: Institutional Strategies and Imperatives.

In: A.J. Kallenberg and M.J.J.M. van de Ven (Eds), 2002, The New Educational Benefits of ICT in Higher Education: Proceedings. Rotterdam: Erasmus Plus BV, OECR ISBN 90-9016127-9This paper examines the issue of motivation as it applies to online learning. It argues that whilst institutions are currently focussing much effort on the integration and embedding of virtual learning environments, the student perspective is receiving very little attention. Institutional strategies include adopting training and support for academic staff in developing online learning, support for institutional structures to enable the integration of systems and the sharing of good practice and expertise. However, there is very little evidence that institutions are giving enough consideration to the student perspective and in particular the issues of motivation and engagement. The paper begins by examining the characteristics of good motivation and learning approaches that can be characterised as ‘open’ and ‘closed’ approaches to learning. It then examines Keller's (1983) instructional design model for student motivation and his four components that contribute to motivation: arousing interest, creating relevance, developing an expectancy of success, and providing extrinsic/intrinsic rewards. The paper then provides key findings from the evaluation studies to illustrate specific instances of how the nature of the learning environment affected motivation either beneficially or detrimentally. The paper concludes with a set of suggested strategies for optimising levels of student motivation towards virtual or online learning in order to ensure that the organisational investment in new approaches to learning will be repaid through high levels of student participation and effective learning. These conclude that virtual learning needs to provide opportunities not available elsewhere; that tangible extrinsic motivators need to built in; that learners must have clear expectations in a virtual environment; specific guidance is needed to exploit opportunities and the level of threat must be managed through support and peer group induction. The paper ends by outlining future work to be undertaken in this area to exploit the ideas further

Under-represented students’ university trajectories: building alternative identities and forms of capital through digital improvisations

This paper focuses on widening participation in relation to under-represented student negotiations of and trajectories through university by drawing attention to students’ informal digital practices for studying and social interactions associated with undergraduate student life. Drawing on a two-year UK study and Holland et al.’s [1998. Identity and Agency in Cultural Worlds. Cambridge, Massachusetts: Harvard University Press ] framing of agency, culture and identity making across ‘figured worlds’, we consider the importance of informal studying and socio-academic practices and the role of digital technologies in fostering agency and identity making. The significance of this study lies in revealing the particular importance of improvisation and collective agency for under-represented students participating in university. Whilst acknowledging that the technologies can also reproduce social inequalities, we conclude that, through the increasing interconnectedness of academic and social interactions, the digital improvisations offer creative opportunities for students to negotiate spatial, social and academic inequalities and lead to new/alternative identities and develop stronger social, cultural and educational capital

Underuse of coronary revascularization procedures in patients considered appropriate candidates for revascularization.

Background: Ratings by an expert panel of the appropriateness of treatments may offer better guidance for clinical practice than the variable decisions of individual clinicians, yet there have been no prospective studies of clinical outcomes. We compared the clinical outcomes of patients treated medically after angiography with those of patients who underwent revascularization, within groups defined by ratings of the degree of appropriateness of revascularization in varying clinical circumstances.Methods: This was a prospective study of consecutive patients undergoing coronary angiography at three London hospitals. Before patients were recruited, a nine-member expert panel rated the appropriateness of percutaneous transluminal coronary angioplasty (PTCA) and coronary-artery bypass grafting (CABG) on a nine-point scale (with 1 denoting highly inappropriate and 9 denoting highly appropriate) for specific clinical indications. These ratings were then applied to a population of patients with coronary artery disease. However, the patients were treated without regard to the ratings. A total of 2552 patients were followed for a median of 30 months after angiography.Results: Of 908 patients with indications for which PTCA was rated appropriate (score, 7 to 9), 34 percent were treated medically; these patients were more likely to have angina at follow-up than those who underwent PTCA (odds ratio, 1.97; 95 percent confidence interval, 1.29 to 3.00). Of 1353 patients with indications for which CABG was considered appropriate, 26 percent were treated medically; they were more likely than those who underwent CABG to die or have a nonfatal myocardial infarction - the composite primary outcome (hazard ratio, 4.08; 95 percent confidence interval, 2.82 to 5.93) - and to have angina (odds ratio, 3.03; 95 percent confidence interval, 2.08 to 4.42). Furthermore, there was a graded relation between rating and outcome over the entire scale of appropriateness (P for linear trend = 0.002).Conclusions: On the basis of the ratings of the expert panel, we identified substantial underuse of coronary revascularization among patients who were considered appropriate candidates for these procedures. Underuse was associated with adverse clinical outcomes. (N Engl J Med 2001;344:645-54.) Copyright (C) 2001 Massachusetts Medical Society

Macrophage transactivation for chemokine production identified as a negative regulator of granulomatous inflammation using agent-based modeling

Cellular activation in trans by interferons, cytokines and chemokines is a commonly recognized mechanism to amplify immune effector function and limit pathogen spread. However, an optimal host response also requires that collateral damage associated with inflammation is limited. This may be particularly so in the case of granulomatous inflammation, where an excessive number and / or excessively florid granulomas can have significant pathological consequences. Here, we have combined transcriptomics, agent-based modeling and in vivo experimental approaches to study constraints on hepatic granuloma formation in a murine model of experimental leishmaniasis. We demonstrate that chemokine production by non-infected Kupffer cells in the Leishmania donovani-infected liver promotes competition with infected KCs for available iNKT cells, ultimately inhibiting the extent of granulomatous inflammation. We propose trans-activation for chemokine production as a novel broadly applicable mechanism that may operate early in infection to limit excessive focal inflammation

traT gene sequences, serum resistance and pathogenicity-related factors in clinical isolates of Escherichia coli and other gram-negative bacteria

The R6-5 plasmid-specified outer membrane protein, TraT protein, has previously been shown to mediate resistance to bacterial killing by serum. Colony hybridization with a 700 bp DNA fragment carrying most of the traT gene was used to examine the prevalence of traT in Gram-negative bacteria, particularly strains of Escherichia coli, isolated from clinical specimens. traT was found in isolates of E. coli, Salmonella, Shigella and Klebsiella, but not in Pseudomonas, Aeromonas or Plesiomonas, nor in the few isolates of Enterobacter, Proteus, Acinetobacter, Citrobacter, Serratia or Yersinia that were examined. It was detected in a significantly higher proportion of the E. coli strains isolated from the blood of patients with bacteraemia/septicaemia or from faeces of patients with enteric infections (50-70%) than in that of strains isolated from normal faeces (20-40%). The incidence of traT in strains isolated from cases of urinary tract infections was variable. traT was found to be frequently associated with production of the K1 capsule and with the carriage of ColV plasmids, but not with the carriage of R plasmids, nor with serum resistance or the production of haemolysin

GPCRTree: online hierarchical classification of GPCR function

Background: G protein-coupled receptors (GPCRs) play important physiological roles transducing extracellular signals into intracellular responses. Approximately 50% of all marketed drugs target a GPCR. There remains considerable interest in effectively predicting the function of a GPCR from its primary sequence. Findings: Using techniques drawn from data mining and proteochemometrics, an alignment-free approach to GPCR classification has been devised. It uses a simple representation of a protein's physical properties. GPCRTree, a publicly-available internet server, implements an algorithm that classifies GPCRs at the class, sub-family and sub-subfamily level. Conclusion: A selective top-down classifier was developed which assigns sequences within a GPCR hierarchy. Compared to other publicly available GPCR prediction servers, GPCRTree is considerably more accurate at every level of classification. The server has been available online since March 2008 at URL: http://igrid-ext.cryst.bbk.ac.uk/gpcrtree

Utilising a simulation platform to understand the effect of domain model assumptions

© The Author(s) 2014. This article is published with open access at Springerlink.com. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.Computational and mathematical modelling approaches are increasingly being adopted in attempts to further our understanding of complex biological systems. This approach can be subjected to strong criticism as substantial aspects of the biological system being captured are not currently known, meaning assumptions need to be made that could have a critical impact on simulation response. We have utilised the CoSMoS process in the development of an agent-based simulation of the formation of Peyer's patches (PP), gut-associated lymphoid organs that have a key role in the initiation of adaptive immune responses to infection. Although the use of genetic tools, imaging technologies and ex vivo culture systems has provided significant insight into the cellular components and associated pathways involved in PP development, interesting questions remain that cannot be addressed using these approaches, and as such well justified assumptions have been introduced into our model to counter this. Here we focus not on the development of the model itself, but instead demonstrate how the resultant simulation can be used to assess how these assumptions impact the simulation response. For example, we consider the impact of our assumption that the migration rate of lymphoid tissue cells into the gut remains constant throughout PP development. We demonstrate that an analysis of the assumptions made in the construction of the domain model may either increase confidence in the model as a representation of the biological system it captures, or may suggest areas where further biological experimentation is required.This work was funded by the Wellcome Trust [ref:097829] through the Centre for Chronic Diseases and Disorders (C2D2) at the University of York. Paul Andrews is funded by EPSRC grant EP/I005943/1 “Resilient Futures.” Henrique Veiga-Fernandes is funded by Fundação para a Ciência e Tecnologia (PTDC/SAU-MII/100016/2008), Portugal, European Molecular Biology Organisation (Project 1648) and European Research Council (Project 207057). Jon Timmis is part funded by the Royal Society and the Royal Academy of Engineering. Funding for Mark Coles comes from grants from the Human Frontiers Science Program (RGP0006/2009) and the Medical Research Council (G0601156).info:eu-repo/semantics/publishedVersio

A 10-year prognostic model for patients with suspected angina attending a chest pain clinic.

BACKGROUND AND OBJECTIVE: Diagnostic models used in the management of suspected angina provide no explicit information about prognosis. We present a new prognostic model of 10-year coronary mortality in patients presenting for the first time with suspected angina to complement the Diamond-Forrester diagnostic model of disease probability. METHODS AND RESULTS: A multicentre cohort of 8762 patients with suspected angina was followed up for a median of 10 years during which 233 coronary deaths were observed. Developmental (n=4412) and validation (n=4350) prognostic models based on clinical data available at first presentation showed good performance with close agreement and the final model utilised all 8762 patients to maximise power. The prognostic model showed strong associations with coronary mortality for age, sex, chest pain typicality, smoking status, diabetes, pulse rate, and ECG findings. Model discrimination was good (C statistic 0.83), patients in the highest risk quarter accounting for 173 coronary deaths (10-year risk of death: 8.7%) compared with a total of 60 deaths in the three lower risk quarters. When the model was simplified to incorporate only Diamond-Forrester factors (age, sex and character of symptoms) it underestimated coronary mortality risk, particularly in patients with reversible risk factors. CONCLUSIONS: For the first time in patients with suspected angina, a prognostic model is presented based on simple clinical factors available at the initial cardiological assessment. The model discriminated powerfully between patients at high risk and lower risk of coronary death during 10-year follow-up. Clinical utility was reflected in the prognostic value it added to the updated Diamond-Forrester diagnostic model of disease probability