984 resultados para liga à base de cobre


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Helicoverpa armigera (Lepidoptera; Noctuidae), conocida como el taladro del tomate, es una especie polífaga y de amplia distribución, responsable de grandes pérdidas económicas en más de 60 cultivos a lo largo de las regiones tropicales y subtropicales del mundo. Estas plagas se controlan mayoritariamente con plaguicidas químicos, aunque existe un gran interés por desarrollar otros agentes de control biológico. Entre estos, se encuentra el nucleopoliedrovirus de Helicoverpa armigera (HearNPV, Baculoviridae), que por sus características de seguridad y eficacia, sería útil para impulsar los programas de gestión integrada de plagas que se fomentan desde la Directiva 2009/128/CEE. El objetivo de este trabajo fue realizar una caracterización bioquímica y biológica de varios aislados de HearNPV : un aislado silvestre español (Badajoz) HearNPV-SP1, un aislado chino HearSNPV-G4, tres aislados sudafricanos (HearNPV-Whl, HearNPV-Kzn, HearNPV-Alb) y la materia activa de un producto comercial en uso en Europa (HearNPV-Hx). El análisis con las enzimas de restricción determinó que la enzima BglII generaba perfiles similares pero con fragmentos característicos en todos los casos a excepción de los aislados HearNPV-Kzn y HearNPVAlb, que no pudieron ser diferenciados entre sí con ninguna de las enzimas probadas. El análisis filogenético, basado en las secuencias parciales de los genes poliedrina (polh), lef-8 y lef-9, donde se incluyeron las secuencias correspondientes a 18 genomas mostró que el aislado HearNPV-Whl es filogenéticamente próximo a las cepas de origen ibérico, mientras que los aislados HearNPV-Hx y HearNPV-Alb comparten la misma rama que los aislados asiáticos y australiano. La caracterización insecticida de los aislados HearNPV-SP1, HearNPV-Hx y HearNPV-G4 reveló que la virulencia (TMM) del aislado HearNPV-SP1 (104 h) fue significativamente menor que la de los aislados HearNPV-G4 (109 h) y HearNPV-Hx (111 h). En este trabajo, se determinó que el tiempo de acción del HearNPV-SP1 es menor al de otros bioinsecticidas en uso en Europa, por lo que se confirma la posibilidad de mejorar los productos activos en uno de los aspectos más sensibles de cara a su comercialización como es su tiempo de actuación.

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UPNa. Instituto de Agrobiotecnología. Laboratorio de Biofilms Microbianos.

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De acuerdo a la normativa de TFEs el repositorio no puede dar acceso a este trabajo. Para consultarlo póngase en contacto con el tutor del trabajo. Puede acceder al resumen del mismo pinchando en el pdf adjunto

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Tese de Doutoramento apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutror em Ciências da Terra.

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

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Trabalho de Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para a obtenção do grau de Mestre em Cooperação Internacional e Desenvolvimento

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5 hojas : ilustraciones, fotografías a color

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http://www.archive.org/details/homebaseofmissio003154mbp

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Case-Based Reasoning (CBR) uses past experiences to solve new problems. The quality of the past experiences, which are stored as cases in a case base, is a big factor in the performance of a CBR system. The system's competence may be improved by adding problems to the case base after they have been solved and their solutions verified to be correct. However, from time to time, the case base may have to be refined to reduce redundancy and to get rid of any noisy cases that may have been introduced. Many case base maintenance algorithms have been developed to delete noisy and redundant cases. However, different algorithms work well in different situations and it may be difficult for a knowledge engineer to know which one is the best to use for a particular case base. In this thesis, we investigate ways to combine algorithms to produce better deletion decisions than the decisions made by individual algorithms, and ways to choose which algorithm is best for a given case base at a given time. We analyse five of the most commonly-used maintenance algorithms in detail and show how the different algorithms perform better on different datasets. This motivates us to develop a new approach: maintenance by a committee of experts (MACE). MACE allows us to combine maintenance algorithms to produce a composite algorithm which exploits the merits of each of the algorithms that it contains. By combining different algorithms in different ways we can also define algorithms that have different trade-offs between accuracy and deletion. While MACE allows us to define an infinite number of new composite algorithms, we still face the problem of choosing which algorithm to use. To make this choice, we need to be able to identify properties of a case base that are predictive of which maintenance algorithm is best. We examine a number of measures of dataset complexity for this purpose. These provide a numerical way to describe a case base at a given time. We use the numerical description to develop a meta-case-based classification system. This system uses previous experience about which maintenance algorithm was best to use for other case bases to predict which algorithm to use for a new case base. Finally, we give the knowledge engineer more control over the deletion process by creating incremental versions of the maintenance algorithms. These incremental algorithms suggest one case at a time for deletion rather than a group of cases, which allows the knowledge engineer to decide whether or not each case in turn should be deleted or kept. We also develop incremental versions of the complexity measures, allowing us to create an incremental version of our meta-case-based classification system. Since the case base changes after each deletion, the best algorithm to use may also change. The incremental system allows us to choose which algorithm is the best to use at each point in the deletion process.

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info:eu-repo/semantics/published

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BACKGROUND: Palliative medicine has made rapid progress in establishing its scientific and clinical legitimacy, yet the evidence base to support clinical practice remains deficient in both the quantity and quality of published studies. Historically, the conduct of research in palliative care populations has been impeded by multiple barriers including health care system fragmentation, small number and size of potential sites for recruitment, vulnerability of the population, perceptions of inappropriateness, ethical concerns, and gate-keeping. METHODS: A group of experienced investigators with backgrounds in palliative care research convened to consider developing a research cooperative group as a mechanism for generating high-quality evidence on prioritized, clinically relevant topics in palliative care. RESULTS: The resulting Palliative Care Research Cooperative (PCRC) agreed on a set of core principles: active, interdisciplinary membership; commitment to shared research purposes; heterogeneity of participating sites; development of research capacity in participating sites; standardization of methodologies, such as consenting and data collection/management; agile response to research requests from government, industry, and investigators; focus on translation; education and training of future palliative care researchers; actionable results that can inform clinical practice and policy. Consensus was achieved on a first collaborative study, a randomized clinical trial of statin discontinuation versus continuation in patients with a prognosis of less than 6 months who are taking statins for primary or secondary prevention. This article describes the formation of the PCRC, highlighting processes and decisions taken to optimize the cooperative group's success.