120 research outputs found

    Multimedia distribuido

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    Los requisitos básicos del futuro MM distribuido -ancho de banda,velocidad, flexibilidad e interactividad- necesitan el desarrollo de tecnologías como la fibra óptica, JDS (Jerarquía Digital Síncrona) y ATM (Modo de Transferencia Asíncrona)

    La cadena multimedia

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    Son cada vez más los usuarios que disponen de un ordenador multimedia. Sin embargo, el futuro presenta un panorama mucho más amplio a esta tecnología. Tres serán los sectores que contribuirán a que el mundo multimedia alcance su pleno desarrollo

    Multimedia informático

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    Desde luego que son muchos y muy variados, puesto que también lo son los aspectos que dicha tecnología debe cubrir. Para no olvidar ninguno vamos a seguir en nuestra exposición el mismo camino que seguiría una señal que evolucionase a través de un sistema multimedia. Este camino se soporta sobre dispositivos semiconductores, tales como procesadores digitales de señal, controladores gráficos y otros circuitos especializado

    PK-guided switch between standard half-life and extended half-life factor VII products

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    P117 Introduction: Extended half-life (EHL) factor VIII (FVIII) requires improvements in half-life (t1/2) & area under the curve (AUC) of 1.3 & 1.25 times compared to standard half-life (SHL) products. The aim of this study is compare pharmacokinetics (PK) after the switch from SHL to EHL in patients with hemophilia A (HA). Methods: Multicenter comparative, cross-sectional, prospective study analyzing PK differences after switch from SHL to EHL (ef-moroctocog alfa [rFVIII-Fc] & rurioctocog alfa pegol [PEG-rFVIII]). WAPPS- Hemo® was used to analyze PK parameters with 2-3 samples: t1/2; AUC, peak level (PL); trough level at 24, 48 & 72 hours (TL24, TL48, TL72); & time to reach FVIII levels of 1, 2, 5% (T1%, T2%, T5%). Ratio of t1/2 & AUC, the number of weekly doses & the dose/kg/week before & after the switch were compared. Wilcoxon & Kruskal-Wallis tests (SPSS®) were used to compare the PK parameters. Results: Eightythree patients from 8 Spanish hospitals were analyzed (62 rFVIII-Fc; 21 PEG-rFVIII), 79 had severe HA & 4 moderate HA. Median age was 30 years (range = 3-64) & no differences in weight were observed between both periods.Dose/kg/week & weekly infusion frequency were reduced after the switch to EHL, & significant improvements were observed in all PK parameters after the change from SHL to EHL (Table 1). The median ratios of t1/2 & AUC were 1.3 (IQR:1.2-1.6) and 1.6 (IQR:1.3-2.2) in the entire cohort. In patients with =12 years ratios of t1/2 & AUC were 1.4 (IQR:1.3-1.6) & 1.7 (IQR:1.3-2.3), and in the cohort of 16 patients <12 years treated with rFVIII-Fc were 1.3 (IQR:0.9-1.5) and 1.4 (IQR:1.1- 2.1).After the switch to EHL, median weekly dose frequency (30%, IQR:0-33.3%) & dose/kg/week (16.9%, IQR:8.7-32.8%) were reduced. In a small subset of 15 younger patients the dose/kg/week was increased a median of 28.6% (IQR:11.7-40-7%). No differences were observed in any of the PK parameters & median ratios of t1/2 & AUC in patients aged =12 years treated with rFVIII-Fc vs. PEG-rFVIII (46 rFVIII-Fc; 21 PEG-rFVIII). Discussion/Conclusion: EHL FVIII have shown significant PK improvements in clinical real practice, allowing to reduce weekly infusion number & dose/kg/week. Outside the clinical trial setting, we have observed an increase in t1/2 & AUC ratios accordingly to EHL definition. Comparisons regarding clinical outcomes (bleeding rate after switch) will be performed after a follow-up of 1 year with EHL for the full cohort

    Patient-reported outcomes in a phase III, randomized study of sunitinib versus interferon-{alpha} as first-line systemic therapy for patients with metastatic renal cell carcinoma in a European population

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    BACKGROUND: The purpose of this study is to evaluate the impact on the health-related quality of life (HRQoL) of sunitinib versus interferon-alpha (IFN-alpha) treatment in patients with metastatic renal cell carcinoma (mRCC). PATIENTS AND METHODS: In all, 304 mRCC patients (European cohort) were randomized 1 : 1 to receive sunitinib (50 mg/day for 4 weeks, followed by 2 weeks off) or IFN-alpha (9 million units s.c. injection three times/week). The following questionnaires were completed (days 1 and 28 per cycle): Functional Assessment of Cancer Therapy-General (FACT-G), the FACT-Kidney Symptom Index and the EuroQol Group's EQ-5D self-report questionnaire (EQ-5D). Results correspond to an ongoing trial with progression-free survival time as primary end point, and patients were still being followed up. Data were analyzed using repeated measures mixed effects models (MEMs) that allow the inclusion of initial differences and uncompleted repeated measures, with the assumption of data missing at random. Six-cycle results were included. RESULTS: Results consistently showed that patients in sunitinib group experienced statistically significantly milder kidney-related symptoms, better cancer-specific HRQoL and general health status (in social utility scores) during the study period as measured by these patient-reported outcome end points. No statistical differences between groups were found on the FACT-G physical well-being subscale or the EQ-5D VAS values. CONCLUSIONS: Results from MEM showed the sunitinib's benefit on HRQoL compared with IFN-alpha

    Automatic Recognition of Affective Body Movement in a Video Game Scenario

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    This study aims at recognizing the affective states of players from non-acted, non-repeated body movements in the context of a video game scenario. A motion capture system was used to collect the movements of the participants while playing a Nintendo Wii tennis game. Then, a combination of body movement features along with a machine learning technique was used in order to automatically recognize emotional states from body movements. Our system was then tested for its ability to generalize to new participants and to new body motion data using a sub-sampling validation technique. To train and evaluate our system, online evaluation surveys were created using the body movements collected from the motion capture system and human observers were recruited to classify them into affective categories. The results showed that observer agreement levels are above chance level and the automatic recognition system achieved recognition rates comparable to the observers' benchmark. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

    Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status

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    Background: Early prognosis in comatose survivors after cardiac arrest due to ventricular fibrillation (VF) is unreliable, especially in patients undergoing mild hypothermia. We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods: Sixty-one out of 239 consecutive patients undergoing mild hypothermia after cardiac arrest, with eventual return of spontaneous circulation (ROSC), and comatose status on admission fulfilled the inclusion criteria. Background clinical variables, VF time and frequency domain fundamental variables were considered. The primary and secondary outcomes were a favorable neurological performance (FNP) during hospitalization and survival to hospital discharge, respectively. The predictive model was developed in a retrospective cohort (n = 32; September 2006 September 2011, 48.5 ± 10.5 months of follow-up) and further validated in a prospective cohort (n = 29; October 2011 July 2013, 5 ± 1.8 months of follow-up). Results: FNP was present in 16 (50.0%) and 21 patients (72.4%) in the retrospective and prospective cohorts, respectively. Seventeen (53.1%) and 21 patients (72.4%), respectively, survived to hospital discharge. Both outcomes were significantly associated (p &lt; 0.001). Retrospective multivariate analysis provided a prediction model (sensitivity = 0.94, specificity = 1) that included spectral dominant frequency, derived power density and peak ratios between high and low frequency bands, and the number of shocks delivered before ROSC. Validation on the prospective cohort showed sensitivity = 0.88 and specificity = 0.91. A model-derived risk-score properly predicted 93% of FNP. Testing the model on follow-up showed a c-statistic &#8805; 0.89. Conclusions: A spectral analysis-based model reliably correlates time-dependent VF spectral changes with acute cerebral injury in comatose survivors undergoing mild hypothermia after cardiac arrest.the CNIC is supported by the Spanish Ministry of Economy and Competitiveness and the Pro-CNIC Foundation.Filgueiras-Rama, D.; Calvo Saiz, CJ.; Salvador-Montañés, Ó.; Cádenas, R.; Ruiz-Cantador, J.; Armada, E.; Rey, JR.... (2015). Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status. International Journal of Cardiology. 186:250-258. doi:10.1016/j.ijcard.2015.03.074S25025818

    Measurement of the atmospheric neutrino-induced upgoing muon flux using MACRO

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    We present a measurement of the flux of neutrino-induced upgoing muons (~100 GeV) using the MACRO detector. The ratio of the number of observed to expected events integrated over all zenith angles is 0.74 +/- 0.036 (stat) +/- 0.046(systematic) +/- 0.13 (theoretical). The observed zenith distribution for -1.0 < cos(theta) < -0.1 does not fit well with the no oscillation expectation, giving a maximum probability for chi^2 of 0.1%. The acceptance of the detector has been extensively studied using downgoing muons, independent analyses and Monte-Carlo simulations. The other systematic uncertainties cannot be the source of the discrepancies between the data and expectations. We have investigated whether the observed number of events and the shape of the zenith distribution can be explained by a neutrino oscillation hypothesis. Fitting either the flux or zenith distribution independently yields mixing parameters of sin^2 (2theta)=1.0 and delta m^2 of a few times 10^-3 eV^2. However, the observed zenith distribution does not fit well with any expectations giving a maximum probability for chi^2 of 5% for the best oscillation hypothesis, and the combined probability for the shape and number of events is 17%. We conclude that these data favor a neutrino oscillation hypothesis, but with unexplained structure in the zenith distribution not easily explained by either the statistics or systematics of the experiment.Comment: 7 pages (two-column) with 4 figure
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