321 research outputs found

    Details of Deformable Part Models for Automatically Georeferencing Historical Map Images

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    Libraries are digitizing their collections of maps from all eras, generating increasingly large online collections of historical cartographic resources. Aligning such maps to a modern geographic coordinate system greatly increases their utility. This work presents a method for such automatic georeferencing, matching raster image content to GIS vector coordinate data. Given an approximate initial alignment that has already been projected from a spherical geographic coordinate system to a Cartesian map coordinate system, a probabilistic shape-matching scheme determines an optimized match between the GIS contours and ink in the binarized map image. Us- ing an evaluation set of 20 historical maps from states and regions of the U.S., the method reduces average alignment RMSE by 12%

    Deformable Part Models for Automatically Georeferencing Historical Map Images

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    Libraries are digitizing their collections of maps from all eras, generating increasingly large online collections of historical cartographic resources. Aligning such maps to a modern geographic coordinate system greatly increases their utility. This work presents a method for such automatic georeferencing, matching raster image content to GIS vector coordinate data. Given an approximate initial alignment that has already been projected from a spherical geographic coordinate system to a Cartesian map coordinate system, a probabilistic shape-matching scheme determines an optimized match between the GIS contours and ink in the binarized map image. Using an evaluation set of 20 historical maps from states and regions of the U.S., the method reduces average alignment RMSE by 12%

    A systematic review of the prevalence and determinants of nonadherence to phosphate binding medication in patients with end-stage renal disease

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    <p>Abstract</p> <p>Background</p> <p>Cardiovascular events are the leading cause of death in end stage renal disease (ESRD). Adherence to phosphate binding medication plays a vital role in reducing serum phosphorus and associated cardiovascular risk. This poses a challenge for patients as the regimen is often complex and there may be no noticeable impact of adherence on symptoms. There is a need to establish the level of nonadherence to phosphate binding medication in renal dialysis patients and identify the factors associated with it.</p> <p>Methods</p> <p>The online databases PsycINFO, Medline, Embase and CINAHL were searched for quantitative studies exploring predictors of nonadherence to phosphate binding medication in ESRD. Rates and predictors of nonadherence were extracted from the papers.</p> <p>Results</p> <p>Thirty four studies met the inclusion criteria. There was wide variation in reported rates of non-adherence (22–74% patients nonadherent, mean 51%). This can be partially attributed to differences in the way adherence has been defined and measured. Demographic and clinical predictors of nonadherence were most frequently assessed but only younger age was consistently associated with nonadherence. In contrast psychosocial variables (e.g. patients' beliefs about medication, social support, personality characteristics) were less frequently assessed but were more likely to be associated with nonadherence.</p> <p>Conclusion</p> <p>Nonadherence to phosphate binding medication appears to be prevalent in ESRD. Several potentially modifiable psychosocial factors were identified as predictors of nonadherence. There is a need for further, high-quality research to explore these factors in more detail, with the aim of informing the design of an intervention to facilitate adherence.</p

    Stress, illness perceptions, behaviours and healing in venous leg ulcers: findings from a prospective observational study

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    Objective: To investigate the impact of stress, illness perceptions and behaviours on healing of venous leg ulcers. Methods: A prospective observational study of 63 individuals for 24 weeks investigated possible psychosocial predictors of healing. There were two indices of healing: rate of change in ulcer area and number of weeks to heal. Psychological variables were assessed at baseline using self-report measures (Perceived Stress Scale, Hospital Anxiety and Depression Scale, Revised Illness Perception Questionnaire, adapted Summary of Diabetes Self-Care Activities, Adherence Questionnaire and Short-Form Health Survey). Results: Controlling for socio-demographic and clinical variables, over the 24 weeks a slower rate of change in ulcer area was predicted by greater stress (standardised beta =-0.61, p=0.008); depression (standardised beta =-0.51, p=0.039); holding negative perceptions or beliefs about the ulcer (standardised beta =-1.4, p=0.045). By 24 weeks 69% of ulcers had closed. A more negative emotional response to the ulcer at baseline, (i.e., emotional representation of the ulcer), was associated with a greater number of weeks to heal [Hazard Ratio (HR) = 0.63, 95% CI 0.41 - 0.95, p=0.028]. Higher educational attainment (HR= 3.22, 95% CI 1.37 - 7.55, p=0.007) and better adherence to compression bandaging (HR= 1.41 95% CI 1.06 - 1.88, p=0.019) were associated with fewer weeks to heal. No other psychosocial variable (stress; perceptions about the ulcer; health behaviours) predicted weeks to heal. Conclusions: Alongside ulcer-related predictors, psychological and sociodemographic factors were associated with healing. Future research should explore mediating mechanisms underlying these associations and develop interventions to target these variables

    Psychological Determinants of Medication Adherence in Stroke Survivors: a Systematic Review of Observational Studies

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    © 2017 The Author (s). This is an Open Access article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.BACKGROUND: Medications targeting stroke risk factors have shown good efficacy, yet adherence is suboptimal. To improve adherence, its determinants must be understood. To date, no systematic review has mapped identified determinants into the Theoretical Domains Framework (TDF) in order to establish a more complete understanding of medication adherence. PURPOSE: The aim of this study was to identify psychological determinants that most influence stroke survivors' medication adherence. METHODS: In line with the prospectively registered protocol (PROSPERO CRD42015016222), five electronic databases were searched (1953-2015). Hand searches of included full text references were undertaken. Two reviewers conducted screening, data extraction and quality assessment. Determinants were mapped into the TDF. RESULTS: Of 32,825 articles, 12 fulfilled selection criteria (N = 43,984 stroke survivors). Tested determinants mapped into 8/14 TDF domains. Studies were too heterogeneous for meta-analysis. Three TDF domains appeared most influential. Negative emotions ('Emotions' domain) such as anxiety and concerns about medications ('Beliefs about Consequences' domain) were associated with reduced adherence. Increased adherence was associated with better knowledge of medications ('Knowledge' domain) and stronger beliefs about medication necessity ('Beliefs about Consequences' domain). Study quality varied, often lacking information on sample size calculations. CONCLUSIONS: This review provides foundations for evidence-based intervention design by establishing psychological determinants most influential in stroke survivors' medication adherence. Six TDF domains do not appear to have been tested, possibly representing gaps in research design. Future research should standardise and clearly report determinant and medication adherence measurement to facilitate meta-analysis. The range of determinants explored should be broadened to enable more complete understanding of stroke survivors' medication adherence.Peer reviewedFinal Published versio

    Understanding and predicting a complex behaviour using n-of-1 methods : Photoprotection in xeroderma pigmentosum

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    Acknowledgements: We would like to thank Lesley Foster (research nurse) for all her work in setting up the n-of-1 study with patients; the XP national clinical team (Hiva Fassihi, Tanya Henshaw, Sally Turner, Isabel Garrood, Alan Lehmann) and members of the PPI panel (Cathy Coleman, Ben Fowler, Sandra Webb, Ros Tobin) for input into design of materials. Funding: This research is funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research (RP-PG- 1212-20009). The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the NIHR, NHS, or the Department of Health.Peer reviewedPostprin
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