Ciencia-tecnología-sociedad, globalización y los límites del planeta

En las sociedades globalizadas en las que vivimos nos encontramos frente a una crisis ecológica producida por nuestro modelo de desarrollo, que aquí lo consideramos bajo el concepto del paradigma de la dominación, y que hunde sus raíces en la tradición griega y judeocristiana. Si queremos salir hacia un nuevo modelo de sociedad sostenible nos vemos obligados a salir de este paradigma lo que implica una revolución a otro nuevo que proponemos que sea el del cuidado de la comunidad biótica de la que formamos parte. Se analizan las bases histórico conceptuales del paradigma anterior que nos han llevado a la insostenibilidad y se propone un esbozo del modelo ético antropológico que permita una globalización más justa desde una concepción de la CTS activista; esto es, con un fuerte carácter ético

Naturally presented HLA class I–restricted epitopes from the neurotrophic factor S100-β are targets of the autoimmune response in type 1 diabetes

Type 1 diabetes (T1D) results from the destruction of pancreatic β-cells by the immune system, and CD8+ T lymphocytes are critical actors in this autoimmune response. Pancreatic islets are surrounded by a mesh of nervous cells, the peri-insular Schwann cells, which are also targeted by autoreactive T lymphocytes and express specific antigens, such as the neurotrophic factor S100-β. Previous work has shown increased proliferative responses to whole S100-β in both human T1D patients and the nonobese diabetic (NOD) mouse model. We describe for the first time naturally processed and presented epitopes (NPPEs) presented by class I human leukocyte antigen–A*02:01 (A2.1) molecules derived from S100-β. These NPPEs triggered IFN-γ responses more frequently in both newly diagnosed and long-term T1D patients compared with healthy donors. Furthermore, the same NPPEs are recognized during the autoimmune response leading to diabetes in A2.1-transgenic NOD mice as early as 4 wk of age. Interestingly, when these NPPEs are used to prevent diabetes in this animal model, an acceleration of the disease is observed together with an exacerbation in insulitis and an increase in S100-β–specific cytotoxicity in vaccinated animals. Whether these can be used in diabetes prevention needs to be carefully evaluated in animal models before use in future clinical assays.—Calviño-Sampedro, C., Gomez-Tourino, I., Cordero, O. J., Reche, P. A., Gómez-Perosanz, M., Sánchez-Trincado, J. L., Rodríguez, M. Á., Sueiro, A. M., Viñuela, J. E., Calviño, R. V. Naturally presented HLA class I–restricted epitopes from the neurotrophic factor S100-β are targets of the autoimmune response in type 1 diabetesThe authors thank Dr. Sefina Arif (King’s College London, London, United Kingdom) for critically reviewing the manuscript. This work was funded by the Ministerio de Economía y Competitividad (Grant BIO2014-53091-C3-3-R to R.V.C.). During this work, I.G.-T. was supported by a Maria Barbeito predoctoral fellowship (Xunta de Galicia, La Coruña, Spain). During this work, C.C.-S. was supported by a Deputación da Coruña grant (2012–2013 and 2016–2017)S

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)

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

Proyectos globales, cooperación docente : benchmarking

Este trabajo obtuvo el primer premio de la modalidad B de los Premios Joaquín Sama 2005Experiencia basada en la técnica empresarial benchmarking cuyo objetivo era dotar a los alumnos de herramientas que les permitan tener fórmulas de cooperación e intercambio entre ellos. También se pretendía fomentar la interactividad, las relaciones sociales, la autoestima, la responsabilidad individual, el respeto por las cualidades y limitaciones de los compañeros y disfrutar del proceso de aprendizaje. El eje de la actividad era el área de Tecnología, aunque era interdisciplinar con otras áreas: Inglés, Matemáticas, Lengua, Ciencias Naturales, Biología, Ciencias Sociales, Educación Física, Educación Plástica y Visual, Informática y Filosofía.ExtremaduraConsejería de Educación. Dirección General de Política Educativa; Calle Delgado Valencia, 6; 06800 Mérida (Badajoz); Tel. +34924006714; Fax +34924006716; [email protected]

Music dissemination, criticism and communication: new perspectives and challenges

Este proyecto tiene como objeto la formación práctica en recursos actuales de divulgación musical, crítica y comunicación, con el fin de fomentar la transferencia de conocimiento y el emprendimiento en el ámbito de la Musicología.This project aims to provide practical training in current resources for the dissemination of music, and communication, in order to promote knowledge transfer and entrepreneurship in the field of musicology. the field of Musicology.Fac. de Geografía e HistoriaFALSEsubmitte

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