902 resultados para Hidden Markov Random Field
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Tese de Doutoramento em Geografia - Geografia Humana
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Os fatores que envolvem os processos da dinâmica da floresta influenciam a sua biodiversidade e, portanto, a qualidade da floresta. A definição de estratégias que envolve a proteção e o uso adequado da floresta manejada e a recuperação de áreas já degradadas tornam-se possível com o estudo da estrutura e dinâmica da floresta primária por meio de informações como a mortalidade, o recrutamento e a permanência das árvores no sistema florestal. Este trabalho teve como objetivo avaliar a dinâmica de uma floresta não perturbada e fazer projeções da dinâmica florestal usando a matriz de transição probabilística (Cadeia de Markov). As taxas de recrutamento, mortalidade e incremento foram determinadas a partir de inventários florestais realizados em dois transectos, nos sentidos Norte-Sul e Leste-Oeste (20 x 2500 m cada, totalizando 10 ha), localizados no km 50 da BR 174, na estrada vicinal ZF-2, Manaus/AM, nos anos de 2000 e 2004. A floresta acumulou 8,34 t.ha-1.ano-1 de biomassa fresca acima do solo. De acordo com projeção para 2008, o número total de árvores diminuirá em 2,67% (de 5987 indivíduos (2004) para 5827 (2008)) e a mortalidade será 15% maior (de 264 (2004) para 311 (2008)). O teste Qui-quadrado mostrou que não há diferença significativa (1% de probabilidade) entre as informações coletadas e projetadas. Esses resultados permitem concluir que a Cadeia de Markov é um eficiente instrumento para projetar a dinâmica da floresta natural, contribuindo para o planejamento em curto prazo das atividades que utilizam os recursos florestais.
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The last decade has witnessed an increased research effort on multi-phase magnetoelectric (ME) composites. In this scope, this paper presents the application of novel materials for the development of anisotropic magnetoelectric (ME) sensors based on δ-FeO(OH)/P(VDF-TrFE) composites. The composite is able to precisely determine the amplitude and direction of the magnetic field. A new ME effect is reported in this study, as it emerges from the magnetic rotation of the δ-FeO(OH) nanosheets inside the piezoelectric P(VDF-TrFE) polymer matrix. δ-FeO(OH)/P(VDF-TrFE) composites with 1, 5, 10 and 20 δ-FeO(OH) filler weigh percentage in three δ-FeO(OH) alignment states (random, transversal and longitudinal) have been developed. Results shown that the modulus of the piezoelectric response (10-24 pC.N-1) is stable at least up to three months, the shape and magnetization maximum value (3 emu.g-1) is dependent on δ-FeO(OH) content and the obtained ME voltage coefficient, with a maximum of ≈0.4 mV.cm-1.Oe-1, is dependent on the incident magnetic field direction and intensity. In this way, the produced materials are suitable for innovative anisotropic sensor and actuator applications.
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This Letter presents a search for a hidden-beauty counterpart of the X(3872) in the mass ranges 10.05--10.31 GeV and 10.40--11.00 GeV, in the channel Xb→π+π−Υ(1S)(→μ+μ−), using 16.2 fb−1 of s√=8 TeV pp collision data collected by the ATLAS detector at the LHC. No evidence for new narrow states is found, and upper limits are set on the product of the Xb cross section and branching fraction, relative to those of the Υ(2S), at the 95% confidence level using the CLS approach. These limits range from 0.8% to 4.0%, depending on mass. For masses above 10.1 GeV, the expected upper limits from this analysis are the most restrictive to date. Searches for production of the Υ(13DJ), Υ(10860), and Υ(11020) states also reveal no significant signals.
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Many of our everyday tasks require the control of the serial order and the timing of component actions. Using the dynamic neural field (DNF) framework, we address the learning of representations that support the performance of precisely time action sequences. In continuation of previous modeling work and robotics implementations, we ask specifically the question how feedback about executed actions might be used by the learning system to fine tune a joint memory representation of the ordinal and the temporal structure which has been initially acquired by observation. The perceptual memory is represented by a self-stabilized, multi-bump activity pattern of neurons encoding instances of a sensory event (e.g., color, position or pitch) which guides sequence learning. The strength of the population representation of each event is a function of elapsed time since sequence onset. We propose and test in simulations a simple learning rule that detects a mismatch between the expected and realized timing of events and adapts the activation strengths in order to compensate for the movement time needed to achieve the desired effect. The simulation results show that the effector-specific memory representation can be robustly recalled. We discuss the impact of the fast, activation-based learning that the DNF framework provides for robotics applications.
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Dissertação de mestrado em Relações Internacionais
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We summarise recent results about the evolution of linear density perturbations in scalar field cosmologies with an exponential potential. We use covariant and gauge invariant perturbation variables and a dynamical systems' approach. We establish under what conditions do the perturbations decay to the future in agreement with the cosmic no-hair conjecture.
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The computation of the optical conductivity of strained and deformed graphene is discussed within the framework of quantum field theory in curved spaces. The analytical solutions of the Dirac equation in an arbitrary static background geometry for one dimensional periodic deformations are computed, together with the corresponding Dirac propagator. Analytical expressions are given for the optical conductivity of strained and deformed graphene associated with both intra and interbrand transitions. The special case of small deformations is discussed and the result compared to the prediction of the tight-binding model.
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We study the longitudinal and transverse spin dynamical structure factors of the spin-1/2 XXX chain at finite magnetic field h, focusing in particular on the singularities at excitation energies in the vicinity of the lower thresholds. While the static properties of the model can be studied within a Fermi-liquid like description in terms of pseudoparticles, our derivation of the dynamical properties relies on the introduction of a form of the ‘pseudofermion dynamical theory’ (PDT) of the 1D Hubbard model suitably modified for the spin-only XXX chain and other models with two pseudoparticle Fermi points. Specifically, we derive the exact momentum and spin-density dependences of the exponents ζτ(k) controlling the singularities for both the longitudinal  and transverse (τ = t) dynamical structure factors for the whole momentum range  , in the thermodynamic limit. This requires the numerical solution of the integral equations that define the phase shifts in these exponents expressions. We discuss the relation to neutron scattering and suggest new experiments on spin-chain compounds using a carefully oriented crystal to test our predictions.
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Inspired by natural structures, great attention has been devoted to the study and development of surfaces with extreme wettable properties. The meticulous study of natural systems revealed that the micro/nano-topography of the surface is critical to obtaining unique wettability features, including superhydrophobicity. However, the surface chemistry also has an important role in such surface characteristics. As the interaction of biomaterials with the biological milieu occurs at the surface of the materials, it is expected that synthetic substrates with extreme and controllable wettability ranging from superhydrophilic to superhydrophobic regimes could bring about the possibility of new investigations of cellâ material interactions on nonconventional surfaces and the development of alternative devices with biomedical utility. This first part of the review will describe in detail how proteins and cells interact with micro/nano-structured surfaces exhibiting extreme wettabilities.
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There are two significant reasons for the uncertainties of water demand. On one hand, an evolving technological world is plagued with accelerated change in lifestyles and consumption patterns; and on the other hand, intensifying climate change. Therefore, with an uncertain future, what enables policymakers to define the state of water resources, which are affected by withdrawals and demands? Through a case study based on thirteen years of observation data in the Zayandeh Rud River basin in Isfahan province located in Iran, this paper forecasts a wide range of urban water demand possibilities in order to create a portfolio of plans which could be utilized by different water managers. A comparison and contrast of two existing methods are discussed, demonstrating the Random Walk Methodology, which will be referred to as the â On uncertainty pathâ , because it takes the uncertainties into account and can be recommended to managers. This On Uncertainty Path is composed of both dynamic forecasting method and system simulation. The outcomes show the advantage of such methods particularly for places that climate change will aggravate their water scarcity, such as Iran.
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v.13:pt.2:no.1(1918)
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v.13:pt.2:no.2(1919)
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El informe de la Organización Mundial de la Salud (2001), refiere que en un plazo de 20 años los trastornos mentales pasarán a ser la segunda causa dentro de la carga de morbilidad a nivel mundial, y en la actualidad una de cada cuatro personas padece de algún trastorno mental en alguna etapa de su vida. Los estudios realizados en diversos países revelan que una proporción importante de los consultantes de la atención primaria en salud presentan algún tipo de trastornos mentales. Desde esta perspectiva, la atención primaria de la salud ofrece una oportunidad de intervenir en el manejo de los trastornos mentales de forma temprana y eficaz. En Argentina, es limitada la información acerca del registro epidemiológico en salud mental, no contando con estudios abordados desde la Atención Primaria en la provincia de Córdoba. El objetivo general del proyecto es estimar la prevalencia de trastornos mentales entre los consultantes de atención primaria por problemas de salud general. Para ello se propone: Estimar la prevalencia de trastornos mentales en una muestra representativa de consultantes adultos por problemas de salud general, de centros de atención primaria de la ciudad de Córdoba, identificar y describir los tipos de trastornos mentales que presentan estos consultantes adultos de centros de atención primaria y analizar la prevalencia de los trastornos mentales por sexo y edad de la población en estudio. Metodología: el estudio se realizará en consultorios de Atención Primaria de Salud distribuídos en todo el éjido de la ciudad, teniendo en cuenta la representación de las 12 zonas de CPC. La muestra es probabilística, estratificada, polietápica de pacientes que consultan en el primer nivel de atención. Se entrevistarán 1200 pacientes utilizando la versión computorizada del CIDI 3.0, que proporciona diagnóstico de acuerdo a la DSM IV y la CIE-10. La confiabilidad y la validez del instrumento ha sido ampliamente documentada y la traducción de la encuesta al español fue realizada conforme a las recomendaciones de la OMS. El análisis efectuado será de prevalencia de Trastornos Mentales y del Comportamiento (TMC),asociación entre factores sociodemográficos y TCM estimados calculando las razones de disparidad (odds ratio), regresión logística a fin de ajustar los resultados por la posible interacción entre variables, análisis de la asociación de todas las variables con los TMC, análisis univariado de la asociación de cada variable con los TMC, controlando sexo y edad, se construirá un modelo de regresión logística. En todos los casos el nivel de significación será de 0,05. El equipo de trabajo, de cooperación internacional entre profesionales de la UNC y de la Universidad de Chile, y con la participación en colaboración de los profesionales dependientes de la Secretaría de Salud de la municipalidad de Córdoba, representa un avance para trabajar en los centros de salud de esta ciudad, constituyéndose en un avance, cualitativo y cuantitativo de la actividad científica en Atención Primaria en salud mental con abordaje epidemiológico. Se espera contribuir al conocimiento acerca de la prevalencia de los problemas de salud mental de esta población en la ciudad de Córdoba, proporcionando información a los funcionarios y responsables por la gestión de las áreas vinculadas a la salud mental, aportando conocimiento que promueva una temprana identificación de riesgos iniciales en salud mental y conductas de cuidado en la población como potencial de bienestar.Así mismo, se espera sistematizar una experiencia que pueda ser replicada en otros sitios geográficos. Por todo lo anterior, esta propuesta permitirá conocer por primera vez en la ciudad de Córdoba la frecuencia y características de los problemas de salud mental entre consultantes de Atención Primaria, información fundamental para el desarrollo posterior de estrategias que busquen mejorar la detección y el tratamiento de estos problemas. According to the WHO Report (2001), in 20 years, mental health disorders (MHDs) will be the world’s second most frequent cause of morbidity. Primary care offers the opportunity to handle MHDs efficiently at an early stage. In Argentina, the epidemiologic data on mental health (MH) is limited, and there are no records for Córdoba. The aim of this project is to assess the prevalence of MHDs among consultants who resort to primary health centers (PHCCs) in the city of Córdoba for common health problems, by using a representative sample of adult consultants, identifying and describing the types of MHDs evinced, and analysing prevalence by sex and age group under study. Methodology:the study will be carried out in PHCCs located in the municipal area of Córdoba, covering the 12 zones corresponding to the CPCs (municipal branch offices for each zone). A multi-stage stratified random sample of 1200 patients will be interviewed using the program CIDI 3.0 to produce a diagnostic according to DSM IV and CIE-10, a tool with proven reliability and validity.The aspects to be analysed are prevalence of mental and behavior disorders, their association with socio-demographic factors estimated by odds ratios, logistic regression for adjustment of potential interaction among variables, association with all variables, and univariate analysis for association with each variable. Significance level will be 0.05 in all cases. The international teamwork including professionals from the Universities of Córdoba, Chile and the Public Health Department of the Municipality of Córdoba constitutes a qualitative and quantitative step forward in the field of primary health care studies with an epidemiologic approach. This project aims at providing administrators in the MH area with data for the early detection of initial risks in MH and the promotion of prevention habits. This will be the first study conducted in Córdoba, and is aimed at facilitating replication in other geographical areas.