Report on the West Kent Clinical Commissioning Group's 'Six Steps End-of-Life Care Programme'

This report outlines the evaluation data of a commission by West Kent Clinical Commissioning Group (CCG) to deliver the national 'Six Steps' end-of-life care programme to staff in a number of long-term care facilities in the Maidstone Area in 2013

From Group Recommendations to Group Formation

There has been significant recent interest in the area of group recommendations, where, given groups of users of a recommender system, one wants to recommend top-k items to a group that maximize the satisfaction of the group members, according to a chosen semantics of group satisfaction. Examples semantics of satisfaction of a recommended itemset to a group include the so-called least misery (LM) and aggregate voting (AV). We consider the complementary problem of how to form groups such that the users in the formed groups are most satisfied with the suggested top-k recommendations. We assume that the recommendations will be generated according to one of the two group recommendation semantics - LM or AV. Rather than assuming groups are given, or rely on ad hoc group formation dynamics, our framework allows a strategic approach for forming groups of users in order to maximize satisfaction. We show that the problem is NP-hard to solve optimally under both semantics. Furthermore, we develop two efficient algorithms for group formation under LM and show that they achieve bounded absolute error. We develop efficient heuristic algorithms for group formation under AV. We validate our results and demonstrate the scalability and effectiveness of our group formation algorithms on two large real data sets.Comment: 14 pages, 22 figure

P131: Understanding factors behind the late testing and diagnosis of HIV: UK results from the IMPRESS Health 2 study.

Background: Over 100,000 have HIV in the UK. However, while effective treatment exists, there is neither a cure nor a preventative vaccine, so >500 people die from AIDS every year with many others dying undiagnosed. Health policy focuses on prevention and support, but it is necessary to increase the number of early diagnoses and reduce the rate of spread (Public Health England, 2014). Approximately 25% of HIV positive individuals do not know their status however, and almost half of all UK diagnoses occur late. It is vital therefore, to understand and address barriers to early testing and diagnosis to address this trend. Methods: Clinical data for 240 patients diagnosed with HIV in 3 trusts in Kent and Medway over 5 years were analysed in relation to clinical, social, demographic and psychosexual factors likely to affect knowledge of HIV and their decision to seek a test. Fifty-three semi-structured interviews were also conducted with patients and healthcare professionals to elicit experience and perceptions about barriers to testing and ways to increase uptake. Results: Patients were aged 19-81 years (mean 40 years) and 67.5% were men. Women were more likely to be diagnosed late however (67.9% versus 56.8%), and late diagnosis was higher than the national average for both sexes (60.4%) with the highest rates in Medway (66.1%) and Maidstone and Tunbridge Wells (64.6%). Patients diagnosed late were 4 years older than those diagnosed early; and late diagnoses was higher in ethnic minority groups (70.2%) compared to white British (53.0%). Those born outside the UK were also generally diagnosed later (69.8%). The most frequent categories affected were heterosexuals (56.2%), men who have sex with men (36.6%) and intravenous drug users (2.0%). Patients diagnosed during an acute hospital admission were far more likely to be diagnosed late (89.1%) compared to other settings (49.6 - 57.1%). Qualitative data suggested that outmoded notions of HIV as a ‘gay disease’ still prevailed and heterosexuals did not generally consider themselves to be at risk. Healthcare professionals sometimes failed to acknowledge risks in ‘non-traditional’ groups and often overlooked HIV as a likely cause of symptoms until patients were seriously unwell. Conclusion: Clearer public health messages should be targeted at the general population and there is a need to better educate professionals, especially GPs, about the clinical indicators of HIV which also need to be de-stigmatised

Skills for future university librarians

Accepted ManuscriptPublishe

Simulation of the Elastic Properties of Reinforced Kevlar-Graphene Composites

The compressive strength of unidirectional fiber composites in the form of Kevlar yarn with a thin outer layer of graphene was investigated and modeled. Such fiber structure may be fabricated by using a strong chemical bond between Kevlar yarn and graphene sheets. Chemical functionalization of graphene and Kevlar may achieved by modification of appropriate surface-bound functional (e.g., carboxylic acid) groups on their surfaces. In this report we studied elastic response to unidirectional in-plane applied load with load peaks along the diameter. The 2D linear elasticity model predicts that significant strengthening occurs when graphene outer layer radius is about 4 % of kevlar yarn radius. The polymer chains of Kevlar are linked into locally planar structure by hydrogen bonds across the chains, with transversal strength considerably weaker than longitudinal one. This suggests that introducing outer enveloping layer of graphene, linked to polymer chains by strong chemical bonds may significantly strengthen Kevlar fiber with respect to transversal deformations

Transfer Learning for Multi-language Twitter Election Classification

Both politicians and citizens are increasingly embracing social media as a means to disseminate information and comment on various topics, particularly during significant political events, such as elections. Such commentary during elections is also of interest to social scientists and pollsters. To facilitate the study of social media during elections, there is a need to automatically identify posts that are topically related to those elections. However, current studies have focused on elections within English-speaking regions, and hence the resultant election content classifiers are only applicable for elections in countries where the predominant language is English. On the other hand, as social media is becoming more prevalent worldwide, there is an increasing need for election classifiers that can be generalised across different languages, without building a training dataset for each election. In this paper, based upon transfer learning, we study the development of effective and reusable election classifiers for use on social media across multiple languages. We combine transfer learning with different classifiers such as Support Vector Machines (SVM) and state-of-the-art Convolutional Neural Networks (CNN), which make use of word embedding representations for each social media post. We generalise the learned classifier models for cross-language classification by using a linear translation approach to map the word embedding vectors from one language into another. Experiments conducted over two election datasets in different languages show that without using any training data from the target language, linear translations outperform a classical transfer learning approach, namely Transfer Component Analysis (TCA), by 80% in recall and 25% in F1 measure

The Specific Heat of a Ferromagnetic Film.

We analyze the specific heat for the $O(N)$ vector model on a $d$-dimensional film geometry of thickness $L$ using ``environmentally friendly'' renormalization. We consider periodic, Dirichlet and antiperiodic boundary conditions, deriving expressions for the specific heat and an effective specific heat exponent, \alpha\ef. In the case of $d=3$, for $N=1$, by matching to the exact exponent of the two dimensional Ising model we capture the crossover for \xi_L\ra\infty between power law behaviour in the limit {L\over\xi_L}\ra\infty and logarithmic behaviour in the limit {L\over\xi_L}\ra0 for fixed $L$, where $\xi_L$ is the correlation length in the transverse dimensions.Comment: 21 pages of Plain TeX. Postscript figures available upon request from [email protected]

Dimensional Crossover in the Large N Limit

We consider dimensional crossover for an $O(N)$ Landau-Ginzburg-Wilson model on a $d$-dimensional film geometry of thickness $L$ in the large $N$-limit. We calculate the full universal crossover scaling forms for the free energy and the equation of state. We compare the results obtained using ``environmentally friendly'' renormalization with those found using a direct, non-renormalization group approach. A set of effective critical exponents are calculated and scaling laws for these exponents are shown to hold exactly, thereby yielding non-trivial relations between the various thermodynamic scaling functions.Comment: 25 pages of PlainTe

A focus on cross-purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR)

The fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 5–6 November 2019 in The Hague, the Netherlands. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. The group seeks to facilitate the development and acceptance of automated techniques for systematic reviews. In 2018, the major themes discussed were the transferability of automation tools (i.e., tools developed for other purposes that might be used by systematic reviewers), the automated recognition of study design in multiple disciplines and applications, and approaches for the evaluation of automation tools

Phase 1 Research Report on the IMPRESS Health 2 (Interreg IVA Channel Programme) Project 4282: Understanding the factors behind the late testing and diagnosis of HIV

This report outlines Phase 1 data from an EU Interreg IVA Channel Programme funded research project (Number 4282) conducted to understand factors behind the late testing and diagnosis of HIV in Kent and Medway (UK). The views of patients or service users (n=37) and health care professionals (n=16) on the barriers to early HIV testing and diagnosis were elicited in a series of semi-structured interviews across three organisations providing HIV testing in Kent and Medway between January and March 2014. A retrospective analysis of all patients diagnosed with HIV between January 2008 and December 2013 (n=242) in those centres was also conducted to identify the proportion of early and late presenters in each organisation and identify any correlating factors which may have impacted upon an individual's likelihood of being diagnosed late (i.e. with a CD4 count <350). Chief among the recommendations for a Phase 2 intervention study were the need for improved education and training of healthcare staff (particularly in primary care) to elicit individual's concerns about HIV risk and address stereotypical ideas that it is a condition which predominantly affects men who have sex with men or particular immigrant populations. The data showed that white heterosexuals, and in particular, white women were at particular risk of having their HIV diagnosed late in the region. The second recommendation for immediate action was the need for a concerted social media and public health campaign aimed at 'atypical' HIV patient groups in order to raise awareness of HIV transmission risk and the benefits of early testing and diagnosis