SEEMP: A Semantic Interoperability Infrastructure for e-government services in the employment sector

This paper presents SEEMP, a marketplace to coordinate and integrate public and private employment services (ESs) around the EU Member States. The need for flexible collaboration in the marketplace gives rise to the issue of interoperability in both data exchange and share of services. SEEMP proposes a mixed approach that relies on the concepts of services and semantics. SEEMP approach combines Software Engineering and Semantic Web methodologies/tools in an infrastructure that allows for a meaningful service-based communication among ESs

Dynamical renormalization group approach to transport in ultrarelativistic plasmas: the electrical conductivity in high temperature QED

The DC electrical conductivity of an ultrarelativistic QED plasma is studied in real time by implementing the dynamical renormalization group. The conductivity is obtained from the realtime dependence of a dissipative kernel related to the retarded photon polarization. Pinch singularities in the imaginary part of the polarization are manifest as growing secular terms that in the perturbative expansion of this kernel. The leading secular terms are studied explicitly and it is shown that they are insensitive to the anomalous damping of hard fermions as a result of a cancellation between self-energy and vertex corrections. The resummation of the secular terms via the dynamical renormalization group leads directly to a renormalization group equation in real time, which is the Boltzmann equation for the (gauge invariant) fermion distribution function. A direct correspondence between the perturbative expansion and the linearized Boltzmann equation is established, allowing a direct identification of the self energy and vertex contributions to the collision term.We obtain a Fokker-Planck equation in momentum space that describes the dynamics of the departure from equilibrium to leading logarithmic order in the coupling.This determines that the transport time scale is given by t_{tr}=(24 pi)/[e^4 T \ln(1/e)}]. The solution of the Fokker-Planck equation approaches asymptotically the steady- state solution as sim e^{-t/(4.038 t_{tr})}.The steady-state solution leads to the conductivity sigma = 15.698 T/[e^2 ln(1/e)] to leading logarithmic order. We discuss the contributions beyond leading logarithms as well as beyond the Boltzmann equation. The dynamical renormalization group provides a link between linear response in quantum field theory and kinetic theory.Comment: LaTex, 48 pages, 14 .ps figures, final version to appear in Phys. Rev.

Pensando un rediseño de agroecosistemas campesinos del Chaco Semiárido argentino: el caso de la asociación campesinos del Valle del Conlara (San Luis, Argentina)

La expansión del modelo de agricultura industrial en la región chaqueña ha generado fuertes cambios ambientales y sociales (desmontes masivos, pérdida de biodiversidad, expulsión de campesinos). Desde 2009, estudiantes, docentes e investigadores de la Universidad de Buenos Aires trabajan junto a campesinos y técnicos locales de la Asociación Campesinos del Valle del Conlara (San Luis, Argentina; ACVC), en pensar cómo mejorar la cantidad, calidad y estabilidad de la oferta forrajera del monte nativo. Partimos de una caracterización preliminar de los agroecosistemas campesinos, publicada en SOCLA (2013). Aquí, nos proponemos compartir las reflexiones sobre alternativas de rediseño y manejo agroecológico, así como los trabajos que se realizaron en la ACVC en este sentido. Este trabajo se enmarca dentro de un proyecto interdisciplinario, cuyo propósito es contribuir al fortalecimiento de la autonomía ecológica y económica de los campesinos, una alternativa al modelo hegemónico.Eje: B5 Sistemas de conocimiento (Relatos de experiencias)Facultad de Ciencias Agrarias y Forestale

Pensando un rediseño de agroecosistemas campesinos del Chaco Semiárido argentino: el caso de la asociación campesinos del Valle del Conlara (San Luis, Argentina)

La expansión del modelo de agricultura industrial en la región chaqueña ha generado fuertes cambios ambientales y sociales (desmontes masivos, pérdida de biodiversidad, expulsión de campesinos). Desde 2009, estudiantes, docentes e investigadores de la Universidad de Buenos Aires trabajan junto a campesinos y técnicos locales de la Asociación Campesinos del Valle del Conlara (San Luis, Argentina; ACVC), en pensar cómo mejorar la cantidad, calidad y estabilidad de la oferta forrajera del monte nativo. Partimos de una caracterización preliminar de los agroecosistemas campesinos, publicada en SOCLA (2013). Aquí, nos proponemos compartir las reflexiones sobre alternativas de rediseño y manejo agroecológico, así como los trabajos que se realizaron en la ACVC en este sentido. Este trabajo se enmarca dentro de un proyecto interdisciplinario, cuyo propósito es contribuir al fortalecimiento de la autonomía ecológica y económica de los campesinos, una alternativa al modelo hegemónico.Eje: B5 Sistemas de conocimiento (Relatos de experiencias)Facultad de Ciencias Agrarias y Forestale

Pensando un rediseño de agroecosistemas campesinos del Chaco Semiárido argentino: el caso de la asociación campesinos del Valle del Conlara (San Luis, Argentina)

La expansión del modelo de agricultura industrial en la región chaqueña ha generado fuertes cambios ambientales y sociales (desmontes masivos, pérdida de biodiversidad, expulsión de campesinos). Desde 2009, estudiantes, docentes e investigadores de la Universidad de Buenos Aires trabajan junto a campesinos y técnicos locales de la Asociación Campesinos del Valle del Conlara (San Luis, Argentina; ACVC), en pensar cómo mejorar la cantidad, calidad y estabilidad de la oferta forrajera del monte nativo. Partimos de una caracterización preliminar de los agroecosistemas campesinos, publicada en SOCLA (2013). Aquí, nos proponemos compartir las reflexiones sobre alternativas de rediseño y manejo agroecológico, así como los trabajos que se realizaron en la ACVC en este sentido. Este trabajo se enmarca dentro de un proyecto interdisciplinario, cuyo propósito es contribuir al fortalecimiento de la autonomía ecológica y económica de los campesinos, una alternativa al modelo hegemónico.Eje: B5 Sistemas de conocimiento (Relatos de experiencias)Facultad de Ciencias Agrarias y Forestale

p38γ and p38δ regulate postnatal cardiac metabolism through glycogen synthase 1

During the first weeks of postnatal heart development, cardiomyocytes undergo a major adaptive metabolic shift from glycolytic energy production to fatty acid oxidation. This metabolic change is contemporaneous to the up-regulation and activation of the p38γ and p38δ stress-activated protein kinases in the heart. We demonstrate that p38γ/δ contribute to the early postnatal cardiac metabolic switch through inhibitory phosphorylation of glycogen synthase 1 (GYS1) and glycogen metabolism inactivation. Premature induction of p38γ/δ activation in cardiomyocytes of newborn mice results in an early GYS1 phosphorylation and inhibition of cardiac glycogen production, triggering an early metabolic shift that induces a deficit in cardiomyocyte fuel supply, leading to whole-body metabolic deregulation and maladaptive cardiac pathogenesis. Notably, the adverse effects of forced premature cardiac p38γ/δ activation in neonate mice are prevented by maternal diet supplementation of fatty acids during pregnancy and lactation. These results suggest that diet interventions have a potential for treating human cardiac genetic diseases that affect heart metabolism.G.S. is a YIP EMBO member. B.G.T. was a fellow of the FPI Severo Ochoa CNIC program (SVP-2013-067639) and currently is funded by the AHA-CHF (AHA award number: 818798). V.M.R. is a FPI fellow (BES-2014-069332) and A.M.S. is a fellow of the FPI Severo Ochoa CNIC program (BES-2016-077635). This work was funded by the following grants: to G.S.: funding from the EFSD/Lilly European Diabetes Research Programme Dr Sabio, from Spanish Ministry of Science, Innovation and Universities (MINECO-FEDER SAF2016-79126-R and PID2019-104399RB-I00), Comunidad de Madrid (IMMUNOTHERCAN-CM S2010/BMD-2326 and B2017/BMD-3733) and Fundación Jesús Serra; to P.A.: Ayudas para apoyar grupos de investigación del sistema Universitario Vasco (IT971-16 to P.A.), MCIU/AEI/FEDER, funding from Spanish Ministry of Science, Innovation and Universities (RTI2018-095134-B-100); Excellence Network Grant from MICIU/AEI (SAF2016-81975-REDT and 2018-PN188) to PA and GS; to J.V.: funding from Spanish Ministry of Science, Innovation and Universities (PGC2018-097019-B-I00), the Instituto de Salud Carlos III (Fondo de Investigación Sanitaria grant PRB3 (PT17/0019/0003- ISCIII-SGEFI / ERDF, ProteoRed), and “la Caixa” Banking Foundation (project code HR17-00247); to J.P.B.: funding from Spanish Ministry of Science, Innovation and Universities (PID2019-105699RB-I00, RED2018‐102576‐T) and Escalera de Excelencia (CLU-2017-03); to J.A.E.: funding from Spanish Ministry of Science, Innovation and Universities MINECO (RED2018-102576-T, RTI2018-099357-B-I00), CIBERFES (CB16/10/00282), and HFSP (RGP0016/2018). RAP (XPC/BBV1602 and MIN/RYC1102). The CNIC is supported by the Ministry of Science, Innovation and Universities and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Accuracy, realism and general applicability of European forest models

Forest models are instrumental for understanding and projecting the impact of climate change on forests. A considerable number of forest models have been developed in the last decades. However, few systematic and comprehensive model comparisons have been performed in Europe that combine an evaluation of modelled carbon and water fluxes and forest structure. We evaluate 13 widely used, state-of-the-art, stand-scale forest models against field measurements of forest structure and eddy-covariance data of carbon and water fluxes over multiple decades across an environmental gradient at nine typical European forest stands. We test the models\u27 performance in three dimensions: accuracy of local predictions (agreement of modelled and observed annual data), realism of environmental responses (agreement of modelled and observed responses of daily gross primary productivity to temperature, radiation and vapour pressure deficit) and general applicability (proportion of European tree species covered). We find that multiple models are available that excel according to our three dimensions of model performance. For the accuracy of local predictions, variables related to forest structure have lower random and systematic errors than annual carbon and water flux variables. Moreover, the multi-model ensemble mean provided overall more realistic daily productivity responses to environmental drivers across all sites than any single individual model. The general applicability of the models is high, as almost all models are currently able to cover Europe\u27s common tree species. We show that forest models complement each other in their response to environmental drivers and that there are several cases in which individual models outperform the model ensemble. Our framework provides a first step to capturing essential differences between forest models that go beyond the most commonly used accuracy of predictions. Overall, this study provides a point of reference for future model work aimed at predicting climate impacts and supporting climate mitigation and adaptation measures in forests

Accuracy, realism and general applicability of European forest models

Forest models are instrumental for understanding and projecting the impact of climate change on forests. A considerable number of forest models have been developed in the last decades. However, few systematic and comprehensive model comparisons have been performed in Europe that combine an evaluation of modelled carbon and water fluxes and forest structure. We evaluate 13 widely used, state-of-the-art, stand-scale forest models against field measurements of forest structure and eddy-covariance data of carbon and water fluxes over multiple decades across an environmental gradient at nine typical European forest stands. We test the models' performance in three dimensions: accuracy of local predictions (agreement of modelled and observed annual data), realism of environmental responses (agreement of modelled and observed responses of daily gross primary productivity to temperature, radiation and vapour pressure deficit) and general applicability (proportion of European tree species covered). We find that multiple models are available that excel according to our three dimensions of model performance. For the accuracy of local predictions, variables related to forest structure have lower random and systematic errors than annual carbon and water flux variables. Moreover, the multi-model ensemble mean provided overall more realistic daily productivity responses to environmental drivers across all sites than any single individual model. The general applicability of the models is high, as almost all models are currently able to cover Europe's common tree species. We show that forest models complement each other in their response to environmental drivers and that there are several cases in which individual models outperform the model ensemble. Our framework provides a first step to capturing essential differences between forest models that go beyond the most commonly used accuracy of predictions. Overall, this study provides a point of reference for future model work aimed at predicting climate impacts and supporting climate mitigation and adaptation measures in forests.Peer reviewe

The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand level, and remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a "SQLite" relational database or "ASCII" flat file version (at https://doi.org/10.5880/PIK.2020.006/; Reyer et al., 2020). The data policies of the individual contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R package (https://CRAN.R- project.org/package=ProfoundData; Silveyra Gonzalez et al., 2020), which provides basic functions to explore, plot and extract the data for model set-up, calibration and evaluation.Peer reviewe

Nuclear expression of Rac1 in cervical premalignant lesions and cervical cancer cells

<p>Abstract</p> <p>Background</p> <p>Abnormal expression of Rho-GTPases has been reported in several human cancers. However, the expression of these proteins in cervical cancer has been poorly investigated. In this study we analyzed the expression of the GTPases Rac1, RhoA, Cdc42, and the Rho-GEFs, Tiam1 and beta-Pix, in cervical pre-malignant lesions and cervical cancer cell lines.</p> <p>Methods</p> <p>Protein expression was analyzed by immunochemistry on 102 cervical paraffin-embedded biopsies: 20 without Squamous Intraepithelial Lesions (SIL), 51 Low- grade SIL, and 31 High-grade SIL; and in cervical cancer cell lines C33A and SiHa, and non-tumorigenic HaCat cells. Nuclear localization of Rac1 in HaCat, C33A and SiHa cells was assessed by cellular fractionation and Western blotting, in the presence or not of a chemical Rac1 inhibitor (NSC23766).</p> <p>Results</p> <p>Immunoreacivity for Rac1, RhoA, Tiam1 and beta-Pix was stronger in L-SIL and H-SIL, compared to samples without SIL, and it was significantly associated with the histological diagnosis. Nuclear expression of Rac1 was observed in 52.9% L-SIL and 48.4% H-SIL, but not in samples without SIL. Rac1 was found in the nucleus of C33A and SiHa cells but not in HaCat cells. Chemical inhibition of Rac1 resulted in reduced cell proliferation in HaCat, C33A and SiHa cells.</p> <p>Conclusion</p> <p>Rac1 is expressed in the nucleus of epithelial cells in SILs and cervical cancer cell lines, and chemical inhibition of Rac1 reduces cellular proliferation. Further studies are needed to better understand the role of Rho-GTPases in cervical cancer progression.</p