38 research outputs found

    FormaciĂłn de la teorĂ­a botĂĄnica: del Medievo al Renacimiento

    Get PDF

    Comparison of parallel implementation strategies in GPU-accelerated System-on-Chip under proton irradiation

    Get PDF
    Commercial off-the-shelf (COTS) system-on-chip (SoC) are becoming widespread in embedded systems. Many of them include a multicore central processing unit (CPU) and a high-end graphics processing unit (GPU). They combine high computational performance with low power consumption and flexible multilevel parallelism. This kind of device is also being considered for radiation environments where large amounts of data must be processed or compute-intensive applications must be executed. In this article, we compare three different strategies to perform matrix multiplication in the GPU of a Tegra TK1 SoC. Our aim is to analyze how the different use of the resources of the GPU influences not only the computational performance of the algorithm, but also its radiation sensitivity. Radiation experiments with protons were performed to compare the behavior of the three strategies. Experimental results show that most of the errors force a reboot of the platform. The number of errors is directly related with how the algorithms use the internal memories of the GPU and increases with the matrix size. It is also related with the number of transactions with the global memory, which in our experiments is not affected by the radiation. Results show that the smallest cross section is obtained with the fastest algorithm, even if it uses the cores of the GPU more intensively.This work was supported in part by the Valencian Regional Government under Grant PROMETEO/2019/109, in part by Jaume I University under Project UJIB2019-36, and in part by the Spanish Ministry of Science and Innovation under Project PID2019-106455GB-C21 and Project PID2020-113656RB-C21.Publicad

    Radiation Testing of a Multiprocessor Macrosynchronized Lockstep Architecture With FreeRTOS

    Get PDF
    Nowadays, high-performance microprocessors are demanded in many fields, including those with high-reliability requirements. Commercial microprocessors present a good tradeoff between cost, size, and performance, albeit they must be adapted to satisfy the reliability requirements when they are used in harsh environments. This work presents a high-end multiprocessor hardened with macrosynchronized lockstep and additional protections. A commercial dual-core Advanced RISC Machine (ARM) cortex A9 has been used as a case study and a complete hardened system has been developed. Evaluation of the proposed hardened system has been accomplished with exhaustive fault injection campaigns and proton irradiation. The hardening approach has been accomplished for both baremetal applications and operating system (OS)-based. The hardened system has demonstrated high reliability in all performed experiments with error coverage up to 99.3% in the irradiation experiments. Experimental irradiation results demonstrate a cross-sectional reduction of two orders of magnitude.This work was supported in part by the Spanish Ministry of Science and Innovation under Project PID2019-106455GB-C21 and in part by the Community of Madrid under Project 49.520608.9.18Publicad

    Patient-Reported Morbidity Instruments: A Systematic Review

    Get PDF
    Objectives: Although comorbidities play an essential role in risk adjustment and outcomes measurement, there is little consensus regarding the best source of this data. The aim of this study was to identify general patient-reported morbidity instruments and their measurement properties. Methods: A systematic review was conducted using multiple electronic databases (Embase, Medline, Cochrane Central, and Web of Science) from inception to March 2018. Articles focusing primarily on the development or subsequent validation of a patient-reported morbidity instrument were included. After including relevant articles, the measurement properties of each morbidity instrument were extracted by 2 investigators for narrative synthesis. Results: A total of 1005 articles were screened, of which 34 eligible articles were ultimately included. The most widely assessed instruments were the Self-Reported Charlson Comorbidity Index (n = 7), the Self-Administered Comorbidity Questionnaire (n = 3), and the Disease Burden Morbidity Assessment (n = 3). The most commonly included conditions were diabetes, hypertension, and myocardial infarction. Studies demonstrated substantial variability in item-level reliability versus the gold standard medical record review (Îș range 0.66-0.86), meaning that the accuracy of the self-reported comorbidity data is dependent on the selected morbidity. Conclusions: The Self-Reported Charlson Comorbidity Index and the Self-Administered Comorbidity Questionnaire were the most frequently cited instruments. Significant variability was observed in reliability per comorbid condition of patient-reported morbidity questionnaires. Further research is needed to determine whether patient-reported morbidity data should be used to bolster medical records data or serve as a stand-alone entity when risk adjusting observational outcomes data

    Evaluation of shoulder-specific patient-reported outcome measures: A systematic and standardized comparison of available evidence

    Get PDF
    This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.Background: The aim of this study was to perform a standardized and systematic evaluation of the available evidence on multi-item shoulder-specific patient-reported outcome measures that are applicable to a wide spectrum of disorders. Materials and methods: A systematic review was conducted in PubMed to identify articles with information regarding the development process, metric properties, and administration issues of shoulder-specific patient-reported outcome measures. Two experts independently reviewed all the articles identified for one instrument and applied the EMPRO (Evaluating Measures of Patient Reported Outcomes) tool, which was designed to assess the quality of attributes in a standardized way. An overall EMPRO score and 6 attribute-specific scores were calculated (range, 0-100) to describe the quality of instrument performance. Results: We identified 11 instruments and 112 articles (2-30 articles per instrument). The American Shoulder and Elbow Surgeons (ASES) shoulder assessment, Simple Shoulder Test (SST), and Oxford Shoulder Score (OSS) were the best rated, with overall scores of 77.4 points, 72.6 points, and 69.7 points, respectively. They have been shown to be valid, reliable, and responsive, with a low administration burden. Acceptable results were also found for the Flexilevel Scale of Shoulder Function, Shoulder Pain and Disability Index, and Dutch Shoulder Disability Questionnaire, but some of their attributes need further evaluation. Conclusions: Current evidence supports the use of the ASES, SST, or OSS. We recommend the SST for longitudinal studies or clinical trials, the Dutch Shoulder Disability Questionnaire for clinical practice to minimize administration burden, and the ASES or OSS to discriminate among patients' or groups' evaluations at one point of time. © 2014 Journal of Shoulder and Elbow Surgery Board of Trustees.Department of HealthGovernment of the Basque Country, Spai

    The relationship between literacy and multimorbidity in a primary care setting

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Multimorbidity is now acknowledged as a research priority in primary care. The identification of risk factors and people most at risk is an important step in guiding prevention and intervention strategies. The aim of this study was to examine the relationship between literacy and multimorbidity while controlling for potential confounders.</p> <p>Methods</p> <p>Participants were adult patients attending the family medicine clinic of a regional health centre in Saguenay (Quebec), Canada. Literacy was measured with the Newest Vital Sign (NVS). Multimorbidity was measured with the Disease Burden Morbidity Assessment (DBMA) by self-report. Information on potential confounders (age, sex, education and family income) was also collected. The association between literacy (independent variable) and multimorbidity was examined in bivariate and multivariate analyses. Two operational definitions of multimorbidity were used successively as the dependent variable; confounding variables were introduced into the model as potential predictors.</p> <p>Results</p> <p>One hundred three patients (36 men) 19–83 years old were recruited; 41.8% had completed 12 years of school or less. Forty-seven percent of patients provided fewer than four correct answers on the NVS (possible low literacy) whereas 53% had four correct responses or more. Literacy and multimorbidity were associated in bivariate analyses (p < 0.01) but not in multivariate analyses, including age and family income.</p> <p>Conclusion</p> <p>This study suggests that there is no relationship between literacy and multimorbidity when controlling for age and family income.</p

    Effectiveness of an intervention for improving drug prescription in primary care patients with multimorbidity and polypharmacy:Study protocol of a cluster randomized clinical trial (Multi-PAP project)

    Get PDF
    This study was funded by the Fondo de Investigaciones Sanitarias ISCIII (Grant Numbers PI15/00276, PI15/00572, PI15/00996), REDISSEC (Project Numbers RD12/0001/0012, RD16/0001/0005), and the European Regional Development Fund ("A way to build Europe").Background: Multimorbidity is associated with negative effects both on people's health and on healthcare systems. A key problem linked to multimorbidity is polypharmacy, which in turn is associated with increased risk of partly preventable adverse effects, including mortality. The Ariadne principles describe a model of care based on a thorough assessment of diseases, treatments (and potential interactions), clinical status, context and preferences of patients with multimorbidity, with the aim of prioritizing and sharing realistic treatment goals that guide an individualized management. The aim of this study is to evaluate the effectiveness of a complex intervention that implements the Ariadne principles in a population of young-old patients with multimorbidity and polypharmacy. The intervention seeks to improve the appropriateness of prescribing in primary care (PC), as measured by the medication appropriateness index (MAI) score at 6 and 12months, as compared with usual care. Methods/Design: Design:pragmatic cluster randomized clinical trial. Unit of randomization: family physician (FP). Unit of analysis: patient. Scope: PC health centres in three autonomous communities: Aragon, Madrid, and Andalusia (Spain). Population: patients aged 65-74years with multimorbidity (≄3 chronic diseases) and polypharmacy (≄5 drugs prescribed in ≄3months). Sample size: n=400 (200 per study arm). Intervention: complex intervention based on the implementation of the Ariadne principles with two components: (1) FP training and (2) FP-patient interview. Outcomes: MAI score, health services use, quality of life (Euroqol 5D-5L), pharmacotherapy and adherence to treatment (Morisky-Green, Haynes-Sackett), and clinical and socio-demographic variables. Statistical analysis: primary outcome is the difference in MAI score between T0 and T1 and corresponding 95% confidence interval. Adjustment for confounding factors will be performed by multilevel analysis. All analyses will be carried out in accordance with the intention-to-treat principle. Discussion: It is essential to provide evidence concerning interventions on PC patients with polypharmacy and multimorbidity, conducted in the context of routine clinical practice, and involving young-old patients with significant potential for preventing negative health outcomes. Trial registration: Clinicaltrials.gov, NCT02866799Publisher PDFPeer reviewe

    Using health status to measure NHS performance: another step into the dark for the health reform in England

    No full text
    The National Health Service in England is moving away from targets based on processes of care and focusing on patient outcomes. This vision is operationalised in the recently published NHS Outcomes Framework, which includes the generalised use of Patient Reported Outcomes (health status and quality of life) as measures of population health at the provider level. This is the first time that such a bold initiative is attempted in the UK and it is not without risks. In this article we elaborate on our experience on the use of Patient Reported Outcomes and identify challenges and likely implications of this approach and suggest less disruptive alternatives
    corecore