5 research outputs found

    “El Transistor golpea El Larguero” ‘El Larguero durante la etapa de José Ramón de la Morena y Manu Carreño’

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    La elección de este trabajo se debe al interés por reflejar una serie de transformaciones que ha sufrido el programa El Larguero de la Cadena Ser durante el verano de 2016. Se parte del hecho de que El Larguero, que comenzó a emitirse en 1989, es el espacio referente de la radio deportiva nocturna en España desde 1995, cuando le arrebató el liderato radiofónico nocturno al programa de José María García, líder absoluto de esa franja horaria desde hacía años. José Ramón de la Morena, su creador y presentador hasta su marcha el verano pasado, consolidó a este programa como el más escuchado de las ondas en nuestro país y ha creado en torno al programa una legión de oyentes que, noche tras noche, han terminado convirtiéndolo en un referente de la prensa deportiva. En este sentido, El Larguero ha narrado en las últimas décadas un amplio conjunto de noticias, polémicas, reportajes y un amplio etcétera del panorama deportivo nacional e internacional que han quedado en la memoria colectiva de toda su audiencia. Actualmente, Manu Carreño es el conductor del programa que continúa siendo el más escuchado en su franja horaria y que parece estar superando una tarea complicada. El periodista vallisoletano está superando los índices de audiencia de De la Morena tras su marcha a Onda Cero. Se ha citado las cuestiones anteriores para señalar el propósito de esta investigación que es plasmar qué ha supuesto ese cambio en la dirección de El Larguero, las implicaciones del cambio en la figura del presentador estrella de un espacio radiofónico y cómo ha afectado tanto a la audiencia como a los contenidos, colaboradores o las secciones del programa.Departamento de Historia Moderna, Contemporánea y de América, Periodismo y Comunicación Audiovisual y PublicidadGrado en Periodism

    The age again in the eye of the COVID-19 storm: evidence-based decision making

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    Background: One hundred fifty million contagions, more than 3 million deaths and little more than 1 year of COVID-19 have changed our lives and our health management systems forever. Ageing is known to be one of the significant determinants for COVID-19 severity. Two main reasons underlie this: immunosenescence and age correlation with main COVID-19 comorbidities such as hypertension or dyslipidaemia. This study has two aims. The first is to obtain cut-off points for laboratory parameters that can help us in clinical decision-making. The second one is to analyse the effect of pandemic lockdown on epidemiological, clinical, and laboratory parameters concerning the severity of the COVID-19. For these purposes, 257 of SARSCoV2 inpatients during pandemic confinement were included in this study. Moreover, 584 case records from a previously analysed series, were compared with the present study data. Results: Concerning the characteristics of lockdown series, mild cases accounted for 14.4, 54.1% were moderate and 31.5%, severe. There were 32.5% of home contagions, 26.3% community transmissions, 22.5% nursing home contagions, and 8.8% corresponding to frontline worker contagions regarding epidemiological features. Age > 60 and male sex are hereby confirmed as severity determinants. Equally, higher severity was significantly associated with higher IL6, CRP, ferritin, LDH, and leukocyte counts, and a lower percentage of lymphocyte, CD4 and CD8 count. Comparing this cohort with a previous 584-cases series, mild cases were less than those analysed in the first moment of the pandemic and dyslipidaemia became more frequent than before. IL-6, CRP and LDH values above 69 pg/mL, 97 mg/L and 328 U/L respectively, as well as a CD4 T-cell count below 535 cells/?L, were the best cut-offs predicting severity since these parameters offered reliable areas under the curve. Conclusion: Age and sex together with selected laboratory parameters on admission can help us predict COVID-19 severity and, therefore, make clinical and resource management decisions. Demographic features associated with lockdown might affect the homogeneity of the data and the robustness of the results

    First scientific observations with MEGARA at GTC

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    On June 25th 2017, the new intermediate-resolution optical IFU and MOS of the 10.4-m GTC had its first light. As part of the tests carried out to verify the performance of the instrument in its two modes (IFU and MOS) and 18 spectral setups (identical number of VPHs with resolutions R=6000-20000 from 0.36 to 1 micron) a number of astronomical objects were observed. These observations show that MEGARA@GTC is called to fill a niche of high-throughput, intermediateresolution IFU and MOS observations of extremely-faint narrow-lined objects. Lyman-α absorbers, star-forming dwarfs or even weak absorptions in stellar spectra in our Galaxy or in the Local Group can now be explored to a new level. Thus, the versatility of MEGARA in terms of observing modes and spectral resolution and coverage will allow GTC to go beyond current observational limits in either depth or precision for all these objects. The results to be presented in this talk clearly demonstrate the potential of MEGARA in this regard

    The age again in the eye of the COVID-19 storm: evidence-based decision making.

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    One hundred fifty million contagions, more than 3 million deaths and little more than 1 year of COVID-19 have changed our lives and our health management systems forever. Ageing is known to be one of the significant determinants for COVID-19 severity. Two main reasons underlie this: immunosenescence and age correlation with main COVID-19 comorbidities such as hypertension or dyslipidaemia. This study has two aims. The first is to obtain cut-off points for laboratory parameters that can help us in clinical decision-making. The second one is to analyse the effect of pandemic lockdown on epidemiological, clinical, and laboratory parameters concerning the severity of the COVID-19. For these purposes, 257 of SARSCoV2 inpatients during pandemic confinement were included in this study. Moreover, 584 case records from a previously analysed series, were compared with the present study data. Concerning the characteristics of lockdown series, mild cases accounted for 14.4, 54.1% were moderate and 31.5%, severe. There were 32.5% of home contagions, 26.3% community transmissions, 22.5% nursing home contagions, and 8.8% corresponding to frontline worker contagions regarding epidemiological features. Age > 60 and male sex are hereby confirmed as severity determinants. Equally, higher severity was significantly associated with higher IL6, CRP, ferritin, LDH, and leukocyte counts, and a lower percentage of lymphocyte, CD4 and CD8 count. Comparing this cohort with a previous 584-cases series, mild cases were less than those analysed in the first moment of the pandemic and dyslipidaemia became more frequent than before. IL-6, CRP and LDH values above 69 pg/mL, 97 mg/L and 328 U/L respectively, as well as a CD4 T-cell count below 535 cells/μL, were the best cut-offs predicting severity since these parameters offered reliable areas under the curve. Age and sex together with selected laboratory parameters on admission can help us predict COVID-19 severity and, therefore, make clinical and resource management decisions. Demographic features associated with lockdown might affect the homogeneity of the data and the robustness of the results
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