Pepito Grillo medioambiental

Se desarrolla un proyecto de innovación educativa que pretende concienciar al alumnado y a la comunidad educativa sobre la necesidad de proteger el medio ambiente a partir de nueve temas de trabajo que se desarrollan a lo largo del curso implicando a todas las áreas curriculares de Educación Infantil y educación Primaria. Se pretende que la Educación Ambiental sea un eje importante en la actividad docente y a partir de ahí trascender no sólo a los miembros de la comunidad escolar, sino también a los ámbitos familiares e institucionales. El proyecto parte de los conocimientos previos del alumnado para desarrollar los objetivos propuestos por el Seminario de Centros Comprometidos con el Medio Ambiente del cual se han tomado las actividades propuestas como instrumentos de trabajo en su entorno más próximo y de sus hábitos de respeto y de conservación del medio natural. El plan de trabajo se lleva a cabo a través de nueve bloques de acciones, uno por cada mes del curso escolar. Los nueve temas son: clasificación de los residuos; paseos ambientales de otoño; compostaje; consumo responsables; ahorro energético; disfraces con material reciclado; plantación de semillas; uso racional del agua; usos tradicionales y fiestas tradicionales. El proyecto ha favorecido el aprendizaje de los alumnos a partir del desarrollo de las actividades propuestas y fundamentalmente en la realización práctica de las mismas que ha supuesto una mejora sustancial en lo que se refiere a la conciencia medioambiental del alumnado tal y como lo demuestran las encuestas realizadas. Se ha conseguido que los niños y niñas asuman responsabilidades y se conciencien y sensibilicen en relación a los problemas medioambientales, incluso que sean capaces de trasladarlo a su entorno familiar más cercano.Castilla y LeónConsejería de Educación. Dirección General de Universidades e Investigación; Monasterio de Nuestra Señora de Prado, Autovía Puente Colgante s. n.; 47071 Valladolid; +34983411881; +34983411939ES

COVID-19 in hospitalized HIV-positive and HIV-negative patients : A matched study

CatedresObjectives: We compared the characteristics and clinical outcomes of hospitalized individuals with COVID-19 with [people with HIV (PWH)] and without (non-PWH) HIV co-infection in Spain during the first wave of the pandemic. Methods: This was a retrospective matched cohort study. People with HIV were identified by reviewing clinical records and laboratory registries of 10 922 patients in active-follow-up within the Spanish HIV Research Network (CoRIS) up to 30 June 2020. Each hospitalized PWH was matched with five non-PWH of the same age and sex randomly selected from COVID-19@Spain, a multicentre cohort of 4035 patients hospitalized with confirmed COVID-19. The main outcome was all-cause in-hospital mortality. Results: Forty-five PWH with PCR-confirmed COVID-19 were identified in CoRIS, 21 of whom were hospitalized. A total of 105 age/sex-matched controls were selected from the COVID-19@Spain cohort. The median age in both groups was 53 (Q1-Q3, 46-56) years, and 90.5% were men. In PWH, 19.1% were injecting drug users, 95.2% were on antiretroviral therapy, 94.4% had HIV-RNA < 50 copies/mL, and the median (Q1-Q3) CD4 count was 595 (349-798) cells/μL. No statistically significant differences were found between PWH and non-PWH in number of comorbidities, presenting signs and symptoms, laboratory parameters, radiology findings and severity scores on admission. Corticosteroids were administered to 33.3% and 27.4% of PWH and non-PWH, respectively (P = 0.580). Deaths during admission were documented in two (9.5%) PWH and 12 (11.4%) non-PWH (P = 0.800). Conclusions: Our findings suggest that well-controlled HIV infection does not modify the clinical presentation or worsen clinical outcomes of COVID-19 hospitalization

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts

Integrate and learn. Building a farm-to-table blockchain

DecanatoFac. de VeterinariaFALSEsubmitte