Holding eternity in an hour: A practical exploration of the arts in the health care of older people with dementia

This project involved creative artists working with older people with dementia and staff from two Belfast Health and Social Care Trust supported housing centres in a mixed programme of dance, painting, music and drama which culminated in an open workshop with relatives and friends of the tenants. The study steered away from traditional medical models of art/music/dance therapy where the participant is perceived as a ‘patient’ in favour of identifying the participant as a ‘student’ who avails of a life-long learning experience. A key premise was that access to the arts is a human right, especially in the context of advancing age and cognitive impairment. . According to one the tenants of Mullan Mews, the project served to ‘awaken - or reawaken - folk with dementia to the endless vista of possibility already in their lives if they will only look for it’. A phenomenographic analysis of video data generated by the project emphasises the importance of the individual experiences of participants in the programme. The evidence from these storylines gained strength from the development of a documentary-style film text that has proved successful in capturing and translating the live experience of the project participants into a supportive text that goes beyond the written word.

Evaluation of a Passive Millimeter Wave (PMMW) imager for wire detection in degraded visual conditions

Ground vehicle tests have been performed to evaluate the performance of a Passive Millimeter Wave (PMMW) imager in reduced visibility conditions and in particular, the ability to detect power lines and cables. A PMMW imager was
compared with Long Wave Infrared (LWIR) and visible imaging cameras. The three sensors were mounted on a Land Rover, together with GPS and digital recording system. All three sensors plus the GPS data were recorded simultaneously in order to provide direct comparisons. The vehicle collected imagery from a number of sites in the vicinity of Malvern, UK, in January, 2008. Imagery was collected both while the vehicle was stationary at specific sites
and while it was moving. Weather conditions during the data collection included clear, drizzle, rain and fog. Imagery was collected during the day, at night, and during dusk/dawn transition periods. The PMMW imager was a prototype which operated at 94 GHz and was based on a conically scanned folded Schmidt camera and the LWIR and visible sensors were commercial off the shelf items.

A Capabilities-Aware Framework for Using Computational Accelerators in Data-Intensive Computing

Multicore computational accelerators such as GPUs are now commodity components for highperformance computing at scale. While such accelerators have been studied in some detail as stand-alone computational engines, their integration in large-scale distributed systems raises new challenges and trade-offs. In this paper, we present an exploration of resource management alternatives for building asymmetric accelerator-based distributed systems. We present these alternatives in the context of a capabilities-aware framework for data-intensive computing, which uses an enhanced implementation of the MapReduce programming model for accelerator-based clusters, compared to the state of the art. The framework can transparently utilize heterogeneous accelerators for deriving high performance with low programming effort. Our work is the first to compare heterogeneous types of accelerators, GPUs and a Cell processors, in the same environment and the first to explore the trade-offs between compute-efficient and control-efficient accelerators on data-intensive systems. Our investigation shows that our framework scales well with the number of different compute nodes. Furthermore, it runs simultaneously on two different types of accelerators, successfully adapts to the resource capabilities, and performs 26.9% better on average than a static execution approach.

Random Regret Minimization: Exploration of a New Choice Model for Environmental and Resource Economics

This paper introduces the discrete choice model-paradigm of Random Regret Minimization (RRM) to the field of environmental and resource economics. The RRM-approach has been very recently developed in the context of travel demand modelling and presents a tractable, regret-based alternative to the dominant choice-modelling paradigm based on Random Utility Maximization-theory (RUM-theory). We highlight how RRM-based models provide closed form, logit-type formulations for choice probabilities that allow for capturing semi-compensatory behaviour and choice set-composition effects while being equally parsimonious as their utilitarian counterparts. Using data from a Stated Choice-experiment aimed at identifying valuations of characteristics of nature parks, we compare RRM-based models and RUM-based models in terms of parameter estimates, goodness of fit, elasticities and consequential policy implications.

Investigating the efficiency of fitting Coxian phase-type distributions to health care data

Coxian phase-type distributions are becoming a popular means of representing survival times within a health care environment. They are favoured as they show a distribution as a system of phases and can allow for an easy visual representation of the rate of flow of patients through a system. Difficulties arise, however, in determining the parameter estimates of the Coxian phase-type distribution. This paper examines ways of making the fitting of the Coxian phase-type distribution less cumbersome by outlining different software packages and algorithms available to perform the fit and assessing their capabilities through a number of performance measures. The performance measures rate each of the methods and help in identifying the more efficient. Conclusions drawn from these performance measures suggest SAS to be the most robust package. It has a high rate of convergence in each of the four example model fits considered, short computational times, detailed output, convergence criteria options, along with a succinct ability to switch between different algorithms.

AVEC 2011–The First International Audio/Visual Emotion Challenge

The Audio/Visual Emotion Challenge and Workshop (AVEC 2011) is the first competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and audiovisual emotion analysis, with all participants competing under strictly the same conditions. This paper first describes the challenge participation conditions. Next follows the data used – the SEMAINE corpus – and its partitioning into train, development, and test partitions for the challenge with labelling in four dimensions, namely activity, expectation, power, and valence. Further, audio and video baseline features are introduced as well as baseline results that use these features for the three sub-challenges of audio, video, and audiovisual emotion recognition.

How position, velocity, and temporal information combine in the prospective control of catching:data and model

The cerebral cortex contains circuitry for continuously computing properties of the environment and one's body, as well as relations among those properties. The success of complex perceptuomotor performances requires integrated, simultaneous use of such relational information. Ball catching is a good example as it involves reaching and grasping of visually pursued objects that move relative to the catcher. Although integrated neural control of catching has received sparse attention in the neuroscience literature, behavioral observations have led to the identification of control principles that may be embodied in the involved neural circuits. Here, we report a catching experiment that refines those principles via a novel manipulation. Visual field motion was used to perturb velocity information about balls traveling on various trajectories relative to a seated catcher, with various initial hand positions. The experiment produced evidence for a continuous, prospective catching strategy, in which hand movements are planned based on gaze-centered ball velocity and ball position information. Such a strategy was implemented in a new neural model, which suggests how position, velocity, and temporal information streams combine to shape catching movements. The model accurately reproduces the main and interaction effects found in the behavioral experiment and provides an interpretation of recently observed target motion-related activity in the motor cortex during interceptive reaching by monkeys. It functionally interprets a broad range of neurobiological and behavioral data, and thus contributes to a unified theory of the neural control of reaching to stationary and moving targets.

External beam radiotherapy in exudative age-related macular degeneration: a pooled analysis of phase I data

In recent years external beam radiotherapy (EBRT) has been proposed as a treatment for the wet form of age-related macular degeneration (AMD) where choroidal neovascularization (CNV) is the hallmark. While the majority of pilot (Phase I) studies have reported encouraging results, a few have found no benefit, i.e. EBRT was not found to result in either improvement or stabilization of visual acuity of the treated eye. The natural history of visual loss in untreated CNV of AMD is highly variable. Loss of vision is influenced mainly by the presenting acuity, and size and composition of the lesion, and to a lesser extent by a variety of other factors. Thus the variable outcome reported by the small Phase I studies of EBRT published to date may simply reflect the variation in baseline factors. We therefore obtained information on 409 patients treated with EBRT from eight independent centres, which included details of visual acuity at baseline and at subsequent follow-up visits. Analysis of the data showed that 22.5% and 14.9% of EBRT-treated eyes developed moderate and severe loss of vision, respectively, during an average follow-up of 13 months. Initial visual acuity, which explained 20.5% of the variation in visual loss, was the most important baseline factor studied. Statistically significant differences in loss of vision were observed between centres, after considering the effects of case mix factors. Comparisons with historical data suggested that while moderate visual loss was similar to that of the natural history of the disease, the likelihood of suffering severe visual loss was halved. However, the benefit in terms of maintained/improved vision in the treated eye was modest.

Visual outcomes in the subfoveal radiotherapy study:A randomized controlled trial of teletherapy for age-related macular degeneration

Objective: To determine whether teletherapy with 6-mV photons can reduce visual loss in patients with subfoveal choroidal neovascularization in age-related macular degeneration. Design: A multicenter, single-masked, randomized controlled trial of 12 Gy of external beam radiation therapy delivered to the macula of an affected eye vs observation only. Setting: Three United Kingdom-based hospital units. Participants: Patients with age-related macular degeneration, aged 60 years and older, who had subfoveal choroidal neovascularization and a visual acuity of 20/200 (logMAR 1.0) or better. Methods: Two hundred three patients were randomly assigned to radiotherapy or observation. Treatment was undertaken at designated radiotherapy centers, and patients assigned to the treatment group received a total dosage of 12 Gy of 6-mV photons in 6 fractions. Follow-up was scheduled at 3, 6, 12, and 24 months. After excluding protocol violators, the data from 199 patients were analyzed. Main Outcome Measures: The primary outcome measure was mean loss of distance visual acuity in the study eye at 12 and 24 months. Other outcome variables analyzed were near visual acuity and contrast sensitivity. The proportions of patients losing 3 or more or 6 or more lines of distance and near acuity and 0.3 or more or 0.6 or more log units of contrast sensitivity at each follow-up were also analyzed. Results: At all time points, mean distance visual acuity was better in the radiotherapy-treated group than in the control group, but the differences did not reach statistical significance. At 24 months, analysis of the proportions of patients with loss of 3 or more (moderate) (P=.08) or 6 or more (severe) (P=.29) lines of distance vision showed that fewer treated patients had severe losses, but there was no statistically significant difference between groups. For near visual acuity, although there was no evidence of treatment benefit at 12 and 24 months, a significant difference in favor of treatment was present at 6 months (P=.048). When analyzed by the proportions of patients losing 3 lines of contrast sensitivity, there was a significant difference in favor of treatment at 24 months (P=.02). No adverse retinal effects were observed during the study, but transient disturbance of the precorneal tear film was noted in treated patients. Conclusion: The results of the present trial do not support the routine clinical use of external beam radiation therapy in subjects with subfoveal choroidal neovascularization in age-related macular degeneration.

Sexual offences against children: An exploration of attrition in the Northern Ireland criminal justice system

Objective: This paper uses data provided by the Police Service for Northern Ireland (PSNI) to compare the characteristics and outcomes of reported sexual offences involving child and adult victims and explore the factors associated with case outcomes.
Method: PSNI provided data on 8,789 sexual offences recorded between April 2001 and March 2006. Case outcomes were based on whether a case was recorded by police as having sufficient evidence to summons, charge, or caution an offender (detected). Where an offender was summonsed, charged, or cautioned, this is classified as detection with a formal sanction. A case can also be classified as "detected" without a formal sanction. The analysis focused on two key categories of detection without formal sanction: cases in which the police deem there to be sufficient evidence to charge an offender but took no further action because the victim did not wish to prosecute, or because the police or the Public Prosecution Service (PPS) decided that no useful purpose would be served by proceeding.
Results: The analysis confirmed that the characteristics of recorded sexual offences involving adult and child victims vary significantly according to gender, offence type, the timing of report and victim-offender relationship. Almost half of child sex abuse cases are not detected by police and a quarter do not proceed through the criminal justice system because either the victim declines to prosecute or the Police/PPS decide not to proceed. Only one in five child cases involved detection with a formal sanction. Child groups with lower detection with formal sanction rates included children under 5, teenagers, those who do not report when the abuse occurs but disclose at a later date; and those who experience abuse at the hands of peers and adults known to them but not related. The analysis also highlighted variation in formal sanction rates depending on where the offence was reported.
Conclusions: Consideration needs to be given to improving the criminal justice response to specific child groups as well as monitoring detection rates in different police areas in order to address potential practice variation.
Practice implications: Consideration needs to be given to improving the professional response in relation to with particularly lower detection with formal sanction rates. There is also a need to monitor case outcomes to ensure that child victims in different areas receive a similar service.

Decompressive hemicraniectomy following malignant middle cerebral artery infarctions:a mixed methods exploration of carer experience and level of burden

Purpose: This study explores the experiences and sense of burden of family carers of survivors of malignant middle cerebral artery infarctions who had undergone decompressive hemicraniectomy. To date, there have been no studies examining carer outcomes among this unique population. This study, taken alongside an already published study of survivor outcomes, provides a more holistic picture with regard to sequelae within the sample. Method: Six family carers completed the Sense of Competence Questionnaire and the Hospital Anxiety and Depression Scale. These results were compared with existing normative data. Carers also consented to a semi-structured interview. Interview data were examined using thematic content analysis. Consistent with the mixed methods design, quantitative and qualitative findings were integrated for further analysis. Results: While carers experienced many losses, their overall sense of burden was not outside 'Average' limits, nor did they experience clinically significant symptoms of depression. All carers identified methods of coping with the demands of caregiving. These included intrapersonal, interpersonal and practical strategies. All carers apart from one were able to identify areas of post-traumatic growth. Conclusion: Carers will benefit from information, support and care. In addition, problem solving skills are essential in managing the myriad difficulties that arise in the aftermath of stroke. [Box: see text].

Lifetime visual prognosis of patients with glaucoma

BACKGROUND: To investigate the visual outcome of glaucoma patients.

DESIGN: This is a retrospective study of case notes of patients who died while under follow up in a glaucoma clinic of a University Hospital in Scotland between 2006 and 2009.

PARTICIPANTS: Seventy-seven patients were identified.

METHODS: Data collected included type of glaucoma, coexisting pathology and best-corrected visual acuity in Snellen (converted to decimal values) for the first and final clinic visit. The final visual status was evaluated based on the best-corrected visual acuity of the better seeing eye at the last glaucoma clinic visit. Patients who had best-corrected visual acuity of less than Snellen decimal 0.5 were considered not to meet the standards for driving.

MAIN OUTCOME MEASURES: Snellen decimal best-corrected visual acuity, fulfilment of driving standards, and eligibility for partial sight and blind registration at the last clinic visit.

RESULTS: The mean ages at presentation and death were 71.8 ± 10.3 years and 82.2 ± 8.7 years respectively. The mean Snellen decimal best-corrected visual acuity of the better eye at presentation was 0.78, and at the final clinic visit was 0.61. At the final clinic visit, no patients were partial sight registrable, four (5.2%) were blind registrable, and 27 (35.1%) did not fulfil UK driving criteria. Glaucoma patients with other ocular pathologies were more likely to fail UK driving criteria at presentation (P = 0.02) and at last clinic visit (P = 0.03).

CONCLUSION: The majority of glaucoma patients maintained good visual function at the end of their lifetime.

Robust Multimodal Person Identification With Limited Training Data

This paper presents a novel method of audio-visual feature-level fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there are limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new multimodal feature representation and a modified cosine similarity are introduced to combine and compare bimodal features with limited training data, as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal dataset created from the SPIDRE speaker recognition database and AR face recognition database with variable noise corruption of speech and occlusion in the face images. The system's speaker identification performance on the SPIDRE database, and facial identification performance on the AR database, is comparable with the literature. Combining both modalities using the new method of multimodal fusion leads to significantly improved accuracy over the unimodal systems, even when both modalities have been corrupted. The new method also shows improved identification accuracy compared with the bimodal systems based on multicondition model training or missing-feature decoding alone.

Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments

The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow applications with security constraints in distributed data-intensive computing environments and present a novel security constraint model. Several meta-heuristic adaptations to the particle swarm optimization algorithm are introduced to deal with the formulation of efficient schedules. A variable neighborhood particle swarm optimization algorithm is compared with a multi-start particle swarm optimization and multi-start genetic algorithm. Experimental results illustrate that population based meta-heuristics approaches usually provide a good balance between global exploration and local exploitation and their feasibility and effectiveness for scheduling work-flow applications. © 2010 Elsevier Inc. All rights reserved.

Visually extracting data records from the deep web

Web sites that rely on databases for their content are now ubiquitous. Query result pages are dynamically generated from these databases in response to user-submitted queries. Automatically extracting structured data from query result pages is a challenging problem, as the structure of the data is not explicitly represented. While humans have shown good intuition in visually understanding data records on a query result page as displayed by a web browser, no existing approach to data record extraction has made full use of this intuition. We propose a novel approach, in which we make use of the common sources of evidence that humans use to understand data records on a displayed query result page. These include structural regularity, and visual and content similarity between data records displayed on a query result page. Based on these observations we propose new techniques that can identify each data record individually, while ignoring noise items, such as navigation bars and adverts. We have implemented these techniques in a software prototype, rExtractor, and tested it using two datasets. Our experimental results show that our approach achieves significantly higher accuracy than previous approaches. Furthermore, it establishes the case for use of vision-based algorithms in the context of data extraction from web sites.