30 research outputs found

    The role of weeds in the Integrated Pest Management of the white-spotted stinkbug of rice, "Eysarcoris ventralis"

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    “Eysarcoris ventralis” (Hemiptera, Pentatomidae) es la principal plaga del cultivo del arroz en la provincia de Sevilla. Se presenta su dinámica poblacional en la zona y los huéspedes alternativos. “Polypogon monspeliensis” es el huésped fundamental de febrero a julio. El cultivo del arroz sólo se ve atacado por la 5ª y última generación. Ante la ausencia de sustancias activas registradas para su control en Sevilla, se plantea el manejo de la vegetación espontánea huésped como la herramienta más eficaz para reducir las poblaciones y evitar daños al cultivo.“Eysarcoris ventralis” (Hemiptera, Pentatomidae) is the main rice pest in Seville province. Its seasonal development in the area and alternative hosts are presented. “Polypogon monspeliensis” is the main host from February to July. It is only the fifth and last generation that feeds on rice plants. Due to the absence of registered active substances for its control in Sevilla, it is proposed to manage weed host plants as the most effective tool to reduce populations and avoid damage

    Injerto perióstico vascularizado de cúbito para el tratamiento de la seudoartrosis recalcitrante de radio: A propósito de un caso

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    Se han desarrollado distintas técnicas para estimular la consolidación ósea en las seudoartrosis de huesos largos, como el uso de injerto óseo molido o estructural, injertos vascularizados o la técnica de membrana inducida. En 2018, Barrera-Ochoa describió la anatomía de un injerto perióstico vascularizado de cúbito con eje vascular interóseo posterior, y mostró su experiencia clínica inicial en niños utilizándolo en una seudoartrosis atrófica de radio y un defecto óseo después de la exéresis de un tumor de Ewing. Presentamos nuestra experiencia con el injerto perióstico vascularizado de cúbito para el tratamiento de una seudoartrosis recalcitrante en la diáfisis de radio de un paciente adulto

    Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

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    This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic

    Tropical tree growth driven by dry-season climate variability

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    Interannual variability in the global land carbon sink is strongly related to variations in tropical temperature and rainfall. This association suggests an important role for moisture-driven fluctuations in tropical vegetation productivity, but empirical evidence to quantify the responsible ecological processes is missing. Such evidence can be obtained from tree-ring data that quantify variability in a major vegetation productivity component: woody biomass growth. Here we compile a pantropical tree-ring network to show that annual woody biomass growth increases primarily with dry-season precipitation and decreases with dry-season maximum temperature. The strength of these dry-season climate responses varies among sites, as reflected in four robust and distinct climate response groups of tropical tree growth derived from clustering. Using cluster and regression analyses, we find that dry-season climate responses are amplified in regions that are drier, hotter and more climatically variable. These amplification patterns suggest that projected global warming will probably aggravate drought-induced declines in annual tropical vegetation productivity. Our study reveals a previously underappreciated role of dry-season climate variability in driving the dynamics of tropical vegetation productivity and consequently in influencing the land carbon sink.We acknowledge financial support to the co-authors provided by Agencia Nacional de Promoción Científica y Tecnológica, Argentina (PICT 2014-2797) to M.E.F.; Alberta Mennega Stichting to P.G.; BBVA Foundation to H.A.M. and J.J.C.; Belspo BRAIN project: BR/143/A3/HERBAXYLAREDD to H.B.; Confederação da Agricultura e Pecuária do Brasil - CNA to C.F.; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES, Brazil (PDSE 15011/13-5 to M.A.P.; 88881.135931/2016-01 to C.F.; 88887.199858/2018-00 to G.A.-P.; Finance Code 001 for all Brazilian collaborators); Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq, Brazil (ENV 42 to O.D.; 1009/4785031-2 to G.C.; 311874/2017-7 to J.S.); CONACYT-CB-2016-283134 to J.V.-D.; CONICET to F.A.R.; CUOMO FOUNDATION (IPCC scholarship) to M.M.; Deutsche Forschungsgemeinschaft - DFG (BR 1895/15-1 to A.B.; BR 1895/23-1 to A.B.; BR 1895/29-1 to A.B.; BR 1895/24-1 to M.M.); DGD-RMCA PilotMAB to B.T.; Dirección General de Asuntos del Personal Académico of the UNAM (Mexico) to R.B.; Elsa-Neumann-Scholarship of the Federal State of Berlin to F.S.; EMBRAPA Brazilian Agricultural Research Corporation to C.F.; Equatorian Dirección de Investigación UNL (21-DI-FARNR-2019) to D.P.-C.; São Paulo Research Foundation FAPESP (2009/53951-7 to M.T.-F.; 2012/50457-4 to G.C.; 2018/01847‐0 to P.G.; 2018/24514-7 to J.R.V.A.; 2019/08783-0 to G.M.L.; 2019/27110-7 to C.F.); FAPESP-NERC 18/50080-4 to G.C.; FAPITEC/SE/FUNTEC no. 01/2011 to M.A.P.; Fulbright Fellowship to B.J.E.; German Academic Exchange Service (DAAD) to M.I. and M.R.; German Ministry of Education, Science, Research, and Technology (FRG 0339638) to O.D.; ICRAF through the Forests, Trees, and Agroforestry research programme of the CGIAR to M.M.; Inter-American Institute for Global Change Research (IAI-SGP-CRA 2047) to J.V.-D.; International Foundation for Science (D/5466-1) to M.I.; Lamont Climate Center to B.M.B.; Miquelfonds to P.G.; National Geographic Global Exploration Fund (GEFNE80-13) to I.R.; USA’s National Science Foundation NSF (IBN-9801287 to A.J.L.; GER 9553623 and a postdoctoral fellowship to B.J.E.); NSF P2C2 (AGS-1501321) to A.C.B., D.G.-S. and G.A.-P.; NSF-FAPESP PIRE 2017/50085-3 to M.T.-F., G.C. and G.M.L.; NUFFIC-NICHE programme (HEART project) to B.K., E.M., J.H.S., J.N. and R. Vinya; Peru ‘s CONCYTEC and World Bank (043-2019-FONDECYT-BM-INC.INV.) to J.G.I.; Peru’s Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT-BM-INC.INV 039-2019) to E.J.R.-R. and M.E.F.; Programa Bosques Andinos - HELVETAS Swiss Intercooperation to M.E.F.; Programa Nacional de Becas y Crédito Educativo - PRONABEC to J.G.I.; Schlumberger Foundation Faculty for the Future to J.N.; Sigma Xi to A.J.L.; Smithsonian Tropical Research Institute to R. Alfaro-Sánchez.; Spanish Ministry of Foreign Affairs AECID (11-CAP2-1730) to H.A.M. and J.J.C.; UK NERC grant NE/K01353X/1 to E.G.Peer reviewe

    The Helicobacter pylori Genome Project : insights into H. pylori population structure from analysis of a worldwide collection of complete genomes

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    Helicobacter pylori, a dominant member of the gastric microbiota, shares co-evolutionary history with humans. This has led to the development of genetically distinct H. pylori subpopulations associated with the geographic origin of the host and with differential gastric disease risk. Here, we provide insights into H. pylori population structure as a part of the Helicobacter pylori Genome Project (HpGP), a multi-disciplinary initiative aimed at elucidating H. pylori pathogenesis and identifying new therapeutic targets. We collected 1011 well-characterized clinical strains from 50 countries and generated high-quality genome sequences. We analysed core genome diversity and population structure of the HpGP dataset and 255 worldwide reference genomes to outline the ancestral contribution to Eurasian, African, and American populations. We found evidence of substantial contribution of population hpNorthAsia and subpopulation hspUral in Northern European H. pylori. The genomes of H. pylori isolated from northern and southern Indigenous Americans differed in that bacteria isolated in northern Indigenous communities were more similar to North Asian H. pylori while the southern had higher relatedness to hpEastAsia. Notably, we also found a highly clonal yet geographically dispersed North American subpopulation, which is negative for the cag pathogenicity island, and present in 7% of sequenced US genomes. We expect the HpGP dataset and the corresponding strains to become a major asset for H. pylori genomics

    Aumento con injerto estructural endomedular en la osteosíntesis de fracturas de húmero proximal

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    Introducción: Las fracturas de húmero proximal son frecuentes, particularmente en la población mayor. Los resultados de la fijación con placa bloqueada siguen siendo impredecibles. El soporte de la columna medial jugaría un rol significativo. Nuestro propósito fue evaluar los resultados de la osteosíntesis de húmero proximal con aloinjerto óseo estructural. Materiales y Métodos: Se evaluaron los resultados clínico-radiológicos en 12 pacientes con fractura de húmero proximal tratados con placa bloqueada e injerto estructural endostal. Se definió como pérdida de reducción a un cambio del ángulo cervicodiafisario >5° o en la altura de la cabeza humeral >3 mm. La evaluación clínica incluyó rango de movilidad, puntaje de Constant-Murley, valor subjetivo del hombro, escala analógica visual para dolor y retorno a la actividad habitual. Resultados: Doce pacientes completaron el seguimiento (edad promedio 62.8 años). Diez mantuvieron la reducción. El puntaje promedio de Constant-Murley fue de 82,1; el del valor subjetivo del hombro, del 80%, y el de la escala analógica visual, de 1,9. La elevación anterior fue de 138,3°; la rotación externa, de 49,5°, y la rotación interna a nivel de la vértebra de L3. La diferencia de la altura de la cabeza humeral y el ángulo cervicodiafisario fue de 2,3 mm y 4,92°. No hubo complicaciones. Conclusiones: La osteosíntesis con placa bloqueada y aumento con injerto estructural endomedular es una técnica fiable para tratar fracturas de cuello quirúrgico del húmero. Proporciona soporte al cuello humeral y mantiene la reducción en la fractura de húmero proximal con rotura de la bisagra medial

    Modelo de análise de investimentos para fabricação de produtos ecologicamente corretos Investment analysis model for green manufacturing

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    As pressões da sociedade, consumidores, governo e outras organizações no cuidado com o meio ambiente levam algumas empresas a adotar medidas sobre seus impactos ambientais. A decisão de cuidar das questões ambientais precede a escolha da forma de agir, podendo ser desde a seleção de insumos adequados até a certificação da ISO 14001. Para cada possibilidade de cuidados com o meio ambiente, a empresa necessita de recursos financeiros para viabilizar o projeto. O objetivo deste artigo é de apresentar um modelo de análise de viabilidade na fabricação de produtos com alguma preocupação ambiental. Considerando que nos modelos já existentes não é realizada uma mensuração do valor para os consumidores para dar suporte às decisões de investimentos sobre a variável ambiental nas organizações, este estudo busca preencher esta lacuna. O modelo proposto é composto por seis etapas. Espera-se que este modelo genérico possa servir de apoio para as organizações definirem o volume de investimentos necessários para uma equilibrada gestão ambiental.<br>Demands of society, consumers, government, and other organizations for care of the environment, have led some companies to adopt environmental impact measures. The decision about caring for the environment precedes the choice of measures to be taken, which include from the selection of appropriate inputs to the ISO 14001 certification. Funds are necessary for every potential environmental care project. The aim of this paper is to present a feasibility analysis model for environmentally conscious manufacturing. Considering the fact that there is no measurement of value for consumers in the existing models to support investment decisions on environment variables in organizations, this study seeks to bridge this gap. The proposed model consists of six steps. It is expected that this generic model can help organizations define the volume of investments required for a balanced environmental management

    Tropical tree growth driven by dry-season climate variability

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    Interannual variability in the global land carbon sink is strongly related to variations in tropical temperature and rainfall. This association suggests an important role for moisture-driven fluctuations in tropical vegetation productivity, but empirical evidence to quantify the responsible ecological processes is missing. Such evidence can be obtained from tree-ring data that quantify variability in a major vegetation productivity component: woody biomass growth. Here we compile a pantropical tree-ring network to show that annual woody biomass growth increases primarily with dry-season precipitation and decreases with dry-season maximum temperature. The strength of these dry-season climate responses varies among sites, as reflected in four robust and distinct climate response groups of tropical tree growth derived from clustering. Using cluster and regression analyses, we find that dry-season climate responses are amplified in regions that are drier, hotter and more climatically variable. These amplification patterns suggest that projected global warming will probably aggravate drought-induced declines in annual tropical vegetation productivity. Our study reveals a previously underappreciated role of dry-season climate variability in driving the dynamics of tropical vegetation productivity and consequently in influencing the land carbon sink.Fil: Zuidema, Pieter A.. University of Agriculture Wageningen; Países BajosFil: Babst, Flurin. University of Arizona; Estados UnidosFil: Groenendijk, Peter. Universidade Estadual de Campinas; BrasilFil: Trouet, Valerie. University of Arizona; Estados UnidosFil: Abiyu, Abrham. World Agroforestry Centre; KeniaFil: Acuña Soto, Rodolfo. Universidad Nacional Autónoma de México; MéxicoFil: Adenesky Filho, Eduardo. Universidade Regional de Blumenau; BrasilFil: Alfaro Sánchez, Raquel. Wilfrid Laurier University; CanadáFil: Aragão, José Roberto Vieira. Universidade Estadual de Campinas; BrasilFil: Assis Pereira, Gabriel. Universidade de Sao Paulo; Brasil. Universidad Federal de Lavras; BrasilFil: Bai, Xue. Chinese Academy of Sciences; República de ChinaFil: Barbosa, Ana Carolina. Universidad Federal de Lavras; BrasilFil: Battipaglia, Giovanna. Seconda Universita Degli Studi Di Napoli; ItaliaFil: Beeckman, Hans. Royal Museum For Central Africa; BélgicaFil: Botosso, Paulo Cesar. Embrapa Forestry; BrasilFil: Bradley, Tim. U.S. Department of Agriculture; Estados UnidosFil: Bräuning, Achim. Universitat Erlangen Nuremberg; AlemaniaFil: Brienen, Roel. University of Leeds; Reino UnidoFil: Buckley, Brendan M.. Columbia University; Estados UnidosFil: Camarero, J. Julio. Instituto Pirenaico de Ecología; EspañaFil: Carvalho, Ana. Universidad de Coimbra; PortugalFil: Ceccantini, Gregório. Universidade de Sao Paulo; BrasilFil: Centeno Erguera, Librado R.. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; MéxicoFil: Cerano Paredes, Julián. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; MéxicoFil: Chávez-Durán, Álvaro Agustín. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; MéxicoFil: Cintra, Bruno Barçante Ladvocat. Universidade de Sao Paulo; BrasilFil: Cleaveland, Malcolm K.. University of Arkansas for Medical Sciences; Estados UnidosFil: Couralet, Camille. Royal Museum For Central Africa; BélgicaFil: D?Arrigo, Rosanne. Columbia University; Estados UnidosFil: del Valle, Jorge Ignacio. Universidad Nacional de Colombia; ColombiaFil: Ferrero, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Lopez Callejas, Lidio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Roig Junent, Fidel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina. Universidad Mayor; Chil
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