47 research outputs found

    Utilización de los residuos de la industria del corcho como sustrato hortícola

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    En este trabajo se pone de manifiesto la aptitud de los residuos de la industria del corcho como sustrato, alternativo a la turba rubia, para el cultivo de diversas especies vegetales. Se consideran y discuten los resultados obtenidos en diferentes ensayos, tras cuatro años de trabajo en esta línea, que han permitido caracterizar el producto desde el punto de vista físico, químico y biológico, así como realizar un seguimiento de los procesos de germinación, enraizamiento y" desarrollo de distintas plantas, en dicho residuo.It has been studied the waste of the cork industry as a new horticultural substrat. Results about physical, chemical and biological analyses of cork are presented. Also it has been studied germination, rooting and growth of different horticultural and ornamental plants on cork as potting media

    Perfil emocional matemático y competencias profesionales

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    The main aim of this research was to measure professional skills of our students of the Degree in Primary Education. This is a quite recent topic in research on mathematics education, having a key importance for designing and evaluating teacher training programs. In this paper we describe the analysis carried out about these skills and the analysis of the correlations between them. We found that the formation achieved by these students is limited and, therefore, they may have problems as future teachers of mathematics in Primary Education (pupils aged between six and twelve years). At the same time,  the detected correlations between tested skills are sparse and exist significant differences between girls and boys in geometry skills.El principal objetivo de esta investigación fue la medición de competencias profesionales de alumnos del Grado en Educación Primaria. Es un tema relativamente novedoso en la investigación en Educación Matemática y posee una importancia capital para el diseño y evaluación de la formación de maestros. En este artículo se describe el análisis realizado sobre tales competencias y el análisis de sus correlaciones. Se descubrió que la formación que alcanzan estos alumnos es escasa y que, por tanto, pueden tener problemas como futuros profesores de matemáticas en Educación Primaria (alumnos de edades entre 6 y 12 años). Así mismo, las correlaciones detectadas entre las competencias analizadas son escasas y existen diferencias significativas en las competencias relativas a los contenidos de geometría debidas al sexo

    Semilleros de algarrobo y pino en sustratos de turba y corcho compostado

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    El residuo de la industria corchera, tras un adecuado tratamiento de compostaje, puede ser utilizado como sustrato para el cultivo de plantas en contenedor. En este trabajo se presentan los resultados obtenidos en un ensayo de sustratos, utilizando tres tipos de turbas y sus mezclas con corcho compostado para la producción de plantas de algarrobo y pino piñonero en bandejas forestales.The cork industry produces a residue wich after composting may be used as a substrate for container growing plants. Results of a substrate trial are presented. They were studied three different peat substrates and their mixtures with composted cork or the production of in forest pots.CICY

    Trispyrazolylborate Ligands Supported on Vinyl Addition Polynorbornenes and Their Copper Derivatives as Recyclable Catalysts

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    Polynorbornenes prepared by vinyl addition poly- merization and bearing pendant alkenyl groups serve as skeletons to support trispyrazolylborate ligands (Tpx) built at those alkenyl sites. Reaction with CuI in acetonitrile led to VA-PNB–TpxCu(NCMe) (VA-PBN = vinyl addition polynorbor- nene) with a 0.8–1.4 mmol incorporation of Cu per gram of polymer. The presence of tetracoordinated copper(I) ions was been assessed by FTIR studies on the corresponding VA-PNB-TpxCu(CO) adducts, in agreement with those on discrete TpxCu(CO). The new materials were employed as heteroge- neous catalysts in several carbene- and nitrene-transfer reac- tions, showing a behavior similar to that of the homogene- ous counterparts but also being recycled several times main- taining a high degree of activity and selectivity. This is the first example of supported Tpx ligands onto polymeric sup- ports with catalytic applications.MINECO (CTQ2017-82893-C2-1-R, CTQ2016-80913-P and Red Intecat CTQ2016-81923-REDC)Junta de Castilla y León (VA051P17, VA062G18)European Union (CHAOS COST ACTION CA-15106)

    ECO D2.5 Learning analytics requirements and metrics report

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    In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided.Part of the work carried out has been funded with support from the European Commission, under the ICT Policy Support Programme, as part of the Competitiveness and Innovation Framework Programme (CIP) in the ECO project under grant agreement n° 21127

    Elearning, Communication and Open-data: Massive Mobile, Ubiquitous and Open Learning

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    ABSTRACT: In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided

    A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study

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    Background: The identification of critically ill COVID-19 patients at risk of fatal outcomes remains a challenge. Here, we first validated candidate microRNAs (miRNAs) as biomarkers for clinical decision-making in critically ill patients. Second, we constructed a blood miRNA classifier for the early prediction of adverse outcomes in the ICU. Methods: This was a multicenter, observational and retrospective/prospective study including 503 critically ill patients admitted to the ICU from 19 hospitals. qPCR assays were performed in plasma samples collected within the first 48 h upon admission. A 16-miRNA panel was designed based on recently published data from our group. Results: Nine miRNAs were validated as biomarkers of all-cause in-ICU mortality in the independent cohort of critically ill patients (FDR < 0.05). Cox regression analysis revealed that low expression levels of eight miRNAs were associated with a higher risk of death (HR from 1.56 to 2.61). LASSO regression for variable selection was used to construct a miRNA classifier. A 4-blood miRNA signature composed of miR-16-5p, miR-192-5p, miR-323a-3p and miR-451a predicts the risk of all-cause in-ICU mortality (HR 2.5). Kaplan‒Meier analysis confirmed these findings. The miRNA signature provides a significant increase in the prognostic capacity of conventional scores, APACHE-II (C-index 0.71, DeLong test p-value 0.055) and SOFA (C-index 0.67, DeLong test p-value 0.001), and a risk model based on clinical predictors (C-index 0.74, DeLong test-p-value 0.035). For 28-day and 90-day mortality, the classifier also improved the prognostic value of APACHE-II, SOFA and the clinical model. The association between the classifier and mortality persisted even after multivariable adjustment. The functional analysis reported biological pathways involved in SARS-CoV infection and inflammatory, fibrotic and transcriptional pathways. Conclusions: A blood miRNA classifier improves the early prediction of fatal outcomes in critically ill COVID-19 patients.11 página

    Effect of viral storm in patients admitted to intensive care units with severe COVID-19 in Spain: a multicentre, prospective, cohort study

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    Background: The contribution of the virus to the pathogenesis of severe COVID-19 is still unclear. We aimed to evaluate associations between viral RNA load in plasma and host response, complications, and deaths in critically ill patients with COVID-19. Methods: We did a prospective cohort study across 23 hospitals in Spain. We included patients aged 18 years or older with laboratory-confirmed SARS-CoV-2 infection who were admitted to an intensive care unit between March 16, 2020, and Feb 27, 2021. RNA of the SARS-CoV-2 nucleocapsid region 1 (N1) was quantified in plasma samples collected from patients in the first 48 h following admission, using digital PCR. Patients were grouped on the basis of N1 quantity: VIR-N1-Zero ([removed]2747 N1 copies per mL). The primary outcome was all-cause death within 90 days after admission. We evaluated odds ratios (ORs) for the primary outcome between groups using a logistic regression analysis. Findings: 1068 patients met the inclusion criteria, of whom 117 had insufficient plasma samples and 115 had key information missing. 836 patients were included in the analysis, of whom 403 (48%) were in the VIR-N1-Low group, 283 (34%) were in the VIR-N1-Storm group, and 150 (18%) were in the VIR-N1-Zero group. Overall, patients in the VIR-N1-Storm group had the most severe disease: 266 (94%) of 283 patients received invasive mechanical ventilation (IMV), 116 (41%) developed acute kidney injury, 180 (65%) had secondary infections, and 148 (52%) died within 90 days. Patients in the VIR-N1-Zero group had the least severe disease: 81 (54%) of 150 received IMV, 34 (23%) developed acute kidney injury, 47 (32%) had secondary infections, and 26 (17%) died within 90 days (OR for death 0·30, 95% CI 0·16–0·55; p<0·0001, compared with the VIR-N1-Storm group). 106 (26%) of 403 patients in the VIR-N1-Low group died within 90 days (OR for death 0·39, 95% CI 0·26–0·57; p[removed]11 página

    Higher versus lower nut consumption and changes in cognitive performance over two years in a population at risk of cognitive decline: a cohort study

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    Background: Tree nuts and peanuts (henceforth, nuts) are nutrient-dense foods rich in neuroprotective components; thus, their consumption could benefit cognitive health. However, evidence to date is limited and inconsistent regarding the potential benefits of nuts for cognitive function. Objective: To prospectively evaluate the association between nut consumption and 2-y changes in cognitive performance in older adults at cognitive decline risk. Methods: A total of 6,630 participants aged 55 to 75 y (mean age 65.0±4.9 y, 48.4% women) with overweight/obesity and metabolic syndrome completed a validated semi-quantitative food frequency questionnaire and a comprehensive battery of neuropsychological tests at baseline and a 2-y follow-up. Composite cognitive scores were used to assess global, general, attention, and executive function domains. Nut consumption was categorized as Results: Nut consumption was positively associated with 2-y changes in general cognitive function (P-trend Conclusion: Frequent nut consumption was associated with a smaller decline in general cognitive performance over 2 y in older adults at risk of cognitive decline. Randomized clinical trials to verify our findings are warranted
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