90 research outputs found

    Characterizing the dual mixed volume via additive functionals

    Full text link
    Integral representations are obtained of positive additive functionals on finite products of the space of continuous functions (or of bounded Borel functions) on a compact Hausdorff space. These are shown to yield characterizations of the dual mixed volume, the fundamental concept in the dual Brunn-Minkowski theory. The characterizations are shown to be best possible in the sense that none of the assumptions can be omitted. The results obtained are in the spirit of a similar characterization of the mixed volume in the classical Brunn-Minkowski theory, obtained recently by Milman and Schneider, but the methods employed are completely different

    Ghosts in Discrete Tomography

    Get PDF

    DRUDIT: web-based DRUgs DIscovery Tools to design small molecules as modulators of biological targets.

    Get PDF
    Abstract Motivation New in silico tools to predict biological affinities for input structures are presented. The tools are implemented in the DRUDIT (DRUgs DIscovery Tools) web service. The DRUDIT biological finder module is based on molecular descriptors that are calculated by the MOLDESTO (MOLecular DEScriptors TOol) software module developed by the same authors, which is able to calculate more than one thousand molecular descriptors. At this stage, DRUDIT includes 250 biological targets, but new external targets can be added. This feature extends the application scope of DRUDIT to several fields. Moreover, two more functions are implemented: the multi- and on/off-target tasks. These tools applied to input structures allow for predicting the polypharmacology and evaluating the collateral effects. Results The applications described in the article show that DRUDIT is able to predict a single biological target, to identify similarities among biological targets, and to discriminate different target isoforms. The main advantages of DRUDIT for the scientific community lie in its ease of use by worldwide scientists and the possibility to be used also without specific, and often expensive, hardware and software. In fact, it is fully accessible through the WWW from any device to perform calculations. Just a click or a tap can start tasks to predict biological properties for new compounds or repurpose drugs, lead compounds, or unsuccessful compounds. To date, DRUDIT is supported by four servers each able to execute 8 jobs simultaneously. Availability and implementation The web service is accessible at the www.drudit.com URL and its use is free of charge. Supplementary information Supplementary data are available at Bioinformatics online

    Segundo Ordenamiento territorial de los bosques nativos de la provincia de Santa Cruz

    Get PDF
    Documento técnico elaborado en el marco de la Ley Nacional de Nº 26331 sobre Presupuestos Mínimos de Protección Ambiental de los Bosques Nativos y Ley Provincial de adhesión Nº 3031.El Segundo Ordenamiento Territorial de Bosques Nativos (OTBN) de la provincia de Santa Cruz se enmarca con lo dispuesto en el artículo 6 de la Ley Nº 26.331 de Presupuestos Mínimos de Protección Ambiental de los Bosques Nativos y su Decreto Reglamentario Nº 91/09, en la que se plantea actualizar cada 5 años el OTBN. Esta ley tiene los siguientes objetivos: a) Promover la conservación mediante el Ordenamiento Territorial de los bosques nativos y la regulación de la expansión del cambio de uso del suelo. b) Implementar las medidas necesarias para regular y controlar la disminución de la superficie de bosques nativos existentes. c) Mejorar y mantener los procesos ecológicos y culturales en los bosques nativos que beneficien a la sociedad; d) Hacer prevalecer los principios precautorio y preventivo, manteniendo bosques nativos. e) Fomentar las actividades de enriquecimiento, conservación, restauración, mejoramiento y manejo sostenible de los bosques nativos. También se tuvo en cuenta las Resoluciones 230/12 (Establecimiento de pautas para la consideración, identificación y mapeo de los bosques nativos en el Ordenamiento Territorial de los Bosques Nativos), 236/12 (Pautas metodológicas para las actualizaciones de los Ordenamientos Territoriales de los Bosques Nativos) y 277/14 (Aprobación del Reglamento de Procedimientos Generales Ley Nº 26.331) del Consejo Federal Del Medio Ambiente (COFEMA). En función de esto, la provincia de Santa Cruz no presenta en su Segundo OTBN una disminución en los niveles de conservación alcanzados. Cabe destacar, que como la Ley Nº 26.331 establece, el Segundo OTBN de la provincia de Santa Cruz se realizó dentro de un proceso participativo para garantizar la participación social en la toma de decisiones para la protección, manejo y preservación del bosque nativo. El proceso participativo se efectuó en dos fases de consulta: (i) consulta propiamente dicha donde se informó y discutió la propuesta preliminar de OTBN, recabándose comentarios y observaciones de los participantes; (ii) una segunda fase que consistió en la validación de la propuesta resultante, incorporando lo recabado en la primera fase de consulta. Santa Cruz adhiere a la adopción de un enfoque integral que compatibilice los objetivos económicos, ambientales y sociales para el uso de sus bosques nativos, por lo que la actualización del OTBN constituye un instrumento que posibilita avanzar hacia “un desarrollo económicamente competitivo, socialmente justo y ecológicamente sustentable.EEA Santa CruzFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Quevedo, Carla. Consejo Agrario Provincial de Santa Cruz (CAP); Argentina.Fil: Javier De Urquiza. Consejo Agrario Provincial de Santa Cruz (CAP); Argentina.Fil: Alberti, Ayelén. Consejo Agrario Provincial de Santa Cruz (CAP). Dirección Provincial de Bosques; Argentina

    Herbivory and nutrients shape grassland soil seed banks

    Get PDF
    Anthropogenic nutrient enrichment and shifts in herbivory can lead to dramatic changes in the composition and diversity of aboveground plant communities. In turn, this can alter seed banks in the soil, which are cryptic reservoirs of plant diversity. Here, we use data from seven Nutrient Network grassland sites on four continents, encompassing a range of climatic and environmental conditions, to test the joint effects of fertilization and aboveground mammalian herbivory on seed banks and on the similarity between aboveground plant communities and seed banks. We find that fertilization decreases plant species richness and diversity in seed banks, and homogenizes composition between aboveground and seed bank communities. Fertilization increases seed bank abundance especially in the presence of herbivores, while this effect is smaller in the absence of herbivores. Our findings highlight that nutrient enrichment can weaken a diversity maintaining mechanism in grasslands, and that herbivory needs to be considered when assessing nutrient enrichment effects on seed bank abundance.EEA Santa CruzFil: Eskelinen, Anu. German Centre for Integrative Biodiversity Research; AlemaniaFil: Eskelinen, Anu. Helmholtz Centre for Environmental Research. Department of Physiological Diversity; AlemaniaFil: Eskelinen, Anu. University of Oulu. Ecology & Genetics; FinlandiaFil: Jessen, Maria Theresa. Helmholtz Centre for Environmental Research. Department of Physiological Diversity; AlemaniaFil: Jessen, Maria Theresa. German Centre for Integrative Biodiversity Research; AlemaniaFil: Jessen, Maria Theresa. Helmholtz Centre for Environmental Research – UFZ. Department of Community Ecology; AlemaniaFil: Bahamonde, Hector Alejandro. Universidad Nacional de La Plata. Ciencias Agrarias y Forestales; Argentina.Fil: Bakker, Jonathan D. University of Washington. School of Environmental and Forest Sciences; Estados UnidosFil: Borer, Elizabeth T. University of Minnesota. Department of Ecology, Evolution & Behavior; Estados UnidosFil: Caldeira, Maria C. University of Lisbon. Forest Research Centre. Associate Laboratory TERRA. School of Agriculture; Portugal.Fil: Harpole, William Stanley. German Centre for Integrative Biodiversity Research (iDiv); AlemaniaFil: Harpole, William Stanley. Helmholtz Centre for Environmental Research – UFZ. Department of Community Ecology; AlemaniaFil: Harpole, William Stanley. Martin Luther University. Institute of Biology; AlemaniaFil: Jia, Meiyu. University of Washington. School of Environmental and Forest Sciences; Estados UnidosFil: Jia, Meiyu. East China University of Technology. School of Water Resources & Environmental Engineering; China.Fil: Jia, Meiyu. Beijing Normal University. College of Life Sciences; China.Fil: Lannes, Luciola S. São Paulo State University-UNESP. Department of Biology and Animal Sciences; Brasil.Fil: Nogueira, Carla. University of Lisbon. Forest Research Centre. Associate Laboratory TERRA. School of Agriculture; Portugal.Fil: Venterink, Harry Olde. Vrije Universiteit Brussel (VUB). Department of Biology; BélgicaFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Porath-Krause, Anita J. University of Minnesota. Department of Ecology, Evolution & Behavior; Estados UnidosFil: Seabloom, Eric William. University of Minnesota. Department of Ecology, Evolution & Behavior; Estados UnidosFil: Schroeder, Katie. University of Minnesota. Department of Ecology, Evolution & Behavior; Estados UnidosFil: Schroeder, Katie. University of Georgia. Odum School of Ecology; Estados UnidosFil: Tognetti, Pedro M. Universidad de Buenos Aires. Facultad de Agronomía; Argentina.Fil: Tognetti, Pedro M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA); Argentina.Fil: Tognetti, Pedro M. Swiss Federal Institute for Forest, Snow and Landscape Research WSL; SuizaFil: Yasui, Simone-Louise E. Queensland University of Technology. School of Biological and Environmental Sciences; Australia.Fil: Virtanen, Risto. University of Oulu. Ecology & Genetics; FinlandiaFil: Sullivan, Lauren L. University of Missouri. Division of Biological Sciences; Estados UnidosFil: Sullivan, Lauren L. Michigan State University. Department of Plant Biology; Estados UnidosFil: Sullivan, Lauren L. Michigan State University. W. K. Kellogg Biological Station; Estados UnidosFil: Sullivan, Lauren L. Michigan State University. Ecology, Evolution and Behavior Program; Estados Unido

    Acromegaly is associated with increased cancer risk: A survey in Italy

    Get PDF
    It is debated if acromegalic patients have an increased risk to develop malignancies. The aim of the present study was to assess the standardized incidence ratios (SIRs) of different types of cancer in acromegaly on a large series of acromegalic patients managed in the somatostatin analogs era. It was evaluated the incidence of cancer in an Italian nationwide multicenter cohort study of 1512 acromegalic patients, 624 men and 888 women, mean age at diagnosis 45 \uc2\ub1 13 years, followed up for a mean of 10 years (12573 person-years) in respect to the general Italian population. Cancer was diagnosed in 124 patients, 72 women and 52 men. The SIRs for all cancers was significantly increased compared to the general Italian population (expected: 88, SIR 1.41; 95% CI, 1.18-1.68, P < 0.001). In the whole series, we found a significantly increased incidence of colorectal cancer (SIR 1.67; 95% CI, 1.07-2.58, P = 0.022), kidney cancer (SIR 2.87; 95% CI, 1.55-5.34, P < 0.001) and thyroid cancer (SIR 3.99; 95% CI, 2.32-6.87, P < 0.001). The exclusion of 11 cancers occurring before diagnosis of acromegaly (all in women) did not change remarkably the study outcome. In multivariate analysis, the factors significantly associated with an increased risk of malignancy were age and family history of cancer, with a non-significant trend for the estimated duration of acromegaly before diagnosis. In conclusion, we found evidence that acromegaly in Italy is associated with a moderate increase in cancer risk
    corecore