990 resultados para Lorenz plot
Resumo:
La Universidad del Rosario, junto a la facultad de Administración, anualmente hace entrega del Premio "Mariposa de Lorenz" al empresario más destacado del año, por su dirección estratégica, eficiencia operacional, responsabilidad social y ética empresarial. Este premio se realiza con el propósito de reconocer la perdurabilidad de las empresas colombianas. Para esta investigación se hizo un análisis del Caso - Productos Ramo S.A. Empresa que en el año 2007 recibió este premio - la cual tenía como fin estudiar el por qué la empresa había sido escogida como ganadora tomando 3 disciplinas de la administración: dirección, gerencia e internacionalización, todas llevando un mismo hilo conductor a: la perdurabilidad. Los resultados obtenidos a los largo de toda la investigación llevaron a que la empresa ha sido perdurable gracias a la unión interna que ha mantenido a los largo de los años, fundamentada en políticas, valores y principios claros que han hecho de Productos Ramo S.A. Líderes en su sector.
Resumo:
El estudio de la perdurabilidad empresarial permite pensar cómo sobreviven las empresas a variables endógenas cómo exógenas de su entorno. Una de las variables exógenas de alta importancia son los créditos financieros. El acceso al crédito para empresas que están en constante inversión, crecimiento, desarrollo, transformación cultural como también la internacionalización, son fundamentales para poder convertirse en empresas perdurables en el tiempo, y es aquí donde otras variables exógenas del mercado, como crisis, expansión, tratados de libre comercio, entre otras, juegan un papel fundamental en su proceso de crecimiento haciendo indispensable el financiamiento de sus proyectos y el apalancamiento de los mismos. Uno de los problemas de las empresas del mercado financiero Colombiano son las altas tasas de interés, las cuales han ocasionado las empresas se vean en la obligación de tener un respaldo financiero alto para poder reaccionar ante sus deudas y cualquier imprevisto en el mercado cambiante y sin paradigmas en el que nos desarrollamos. La presente investigación, busca hacer un acercamiento al comportamiento financiero de las empresas perdurables que obtuvieron el premio Empresario Colombiano del Año Mariposa Lorenz de la Universidad del Rosario , teniendo en cuenta el análisis comparativo de indicadores financieros como Liquidez, Endeudamiento, Actividad y Rentabilidad, ligados a áreas estratégicas como lo son Dirección y Gerencia a partir de la exploración de una encuesta que consta de 47 preguntas en dónde se destacan las que tienen mayor relación con los aspectos anteriormente mencionados.
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Proyecto realizado por 6 profesores integrados en el grupo GAUSS y que ejercen su labor docente en diferentes centros públicos y privados-concertados, en los niveles de Primaria y Secundaria de la provincia de Salamanca. Tienen como objetivo: Elaborar una Unidad Didáctica de Matemáticas para la Educación Secundaria Obligatoria con las siguientes características: utilizar como base el material Plot; parte de la experiencia práctica (manipulación) hacia las estructuras conceptuales. La organización del aula será en pequeños grupos de 4-6 miembros. El desarrollo de la experiencia pasó por las siguientes fases: -elaboración de guiones de trabajo; -adquisición de materiales; -experimentación de la unidad en los Centros; -valoración de resultados. Los materiales entregados constan de una guía para el profesor y materiales para el alumno. El trabajo no está publicado..
Resumo:
This policy brief illustrates that both the conceptualisation of democracy and the means to achieve it remain vague, and explains why this is problematic. It points out the risks that stem from a lack of clear understanding about how human rights, governance, civil society and socio-economic development relate to democratisation. It concludes that the EU should reflect on the substance of its external democracy promotion policies and conceptualise the relationship between the different elements of democracy promotion cited above and democratisation. While ongoing reforms of international democracy promotion should continue, a wider debate on substance could help identify what the EU should support in the future. The EU should also establish a reflective external democracy promotion policy where the assessment of actions on democratic development becomes systematic and is institutionalised.
Resumo:
Potatoes of a number of varieties of contrasting levels of resistance were planted in pure or mixed stands in four experiments over 3 years. Three experiments compared the late blight severity and progress in mixtures with that in pure stands. Disease on susceptible or moderately resistant varieties typical of those in commercial use was similar in mixtures and pure stands. In 2 of 3 years, there were slight reductions on cv. Sante, which is moderately susceptible, in mixture with cv. Cara, which is moderately resistant. Cara was unaffected by this mixture. Mixtures of an immune or near-immune partner with Cara or Sante substantially reduced disease on the latter. The effect of the size of plots of individual varieties or mixtures on blight severity was compared in two experiments. Larger plots had a greater area under the disease progress curve, but the average rate of disease progress was greater in smaller plots; this may be because most disease progress took place later, under more favourable conditions, in the smaller plots. In one experiment, two planting densities were used. Density had no effect on disease and did not interact with mixture effects. The overall conclusion is that, while mixtures of potato varieties may be desirable for other reasons, they do not offer any improvement on the average of the disease resistance of the components.
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Statistical graphics are a fundamental, yet often overlooked, set of components in the repertoire of data analytic tools. Graphs are quick and efficient, yet simple instruments of preliminary exploration of a dataset to understand its structure and to provide insight into influential aspects of inference such as departures from assumptions and latent patterns. In this paper, we present and assess a graphical device for choosing a method for estimating population size in capture-recapture studies of closed populations. The basic concept is derived from a homogeneous Poisson distribution where the ratios of neighboring Poisson probabilities multiplied by the value of the larger neighbor count are constant. This property extends to the zero-truncated Poisson distribution which is of fundamental importance in capture–recapture studies. In practice however, this distributional property is often violated. The graphical device developed here, the ratio plot, can be used for assessing specific departures from a Poisson distribution. For example, simple contaminations of an otherwise homogeneous Poisson model can be easily detected and a robust estimator for the population size can be suggested. Several robust estimators are developed and a simulation study is provided to give some guidance on which should be used in practice. More systematic departures can also easily be detected using the ratio plot. In this paper, the focus is on Gamma mixtures of the Poisson distribution which leads to a linear pattern (called structured heterogeneity) in the ratio plot. More generally, the paper shows that the ratio plot is monotone for arbitrary mixtures of power series densities.
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Starting from the classical Saltzman two-dimensional convection equations, we derive via a severe spectral truncation a minimal 10 ODE system which includes the thermal effect of viscous dissipation. Neglecting this process leads to a dynamical system which includes a decoupled generalized Lorenz system. The consideration of this process breaks an important symmetry and couples the dynamics of fast and slow variables, with the ensuing modifications to the structural properties of the attractor and of the spectral features. When the relevant nondimensional number (Eckert number Ec) is different from zero, an additional time scale of O(Ec−1) is introduced in the system, as shown with standard multiscale analysis and made clear by several numerical evidences. Moreover, the system is ergodic and hyperbolic, the slow variables feature long-term memory with 1/f3/2 power spectra, and the fast variables feature amplitude modulation. Increasing the strength of the thermal-viscous feedback has a stabilizing effect, as both the metric entropy and the Kaplan-Yorke attractor dimension decrease monotonically with Ec. The analyzed system features very rich dynamics: it overcomes some of the limitations of the Lorenz system and might have prototypical value in relevant processes in complex systems dynamics, such as the interaction between slow and fast variables, the presence of long-term memory, and the associated extreme value statistics. This analysis shows how neglecting the coupling of slow and fast variables only on the basis of scale analysis can be catastrophic. In fact, this leads to spurious invariances that affect essential dynamical properties (ergodicity, hyperbolicity) and that cause the model losing ability in describing intrinsically multiscale processes.
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Along the lines of the nonlinear response theory developed by Ruelle, in a previous paper we have proved under rather general conditions that Kramers-Kronig dispersion relations and sum rules apply for a class of susceptibilities describing at any order of perturbation the response of Axiom A non equilibrium steady state systems to weak monochromatic forcings. We present here the first evidence of the validity of these integral relations for the linear and the second harmonic response for the perturbed Lorenz 63 system, by showing that numerical simulations agree up to high degree of accuracy with the theoretical predictions. Some new theoretical results, showing how to derive asymptotic behaviors and how to obtain recursively harmonic generation susceptibilities for general observables, are also presented. Our findings confirm the conceptual validity of the nonlinear response theory, suggest that the theory can be extended for more general non equilibrium steady state systems, and shed new light on the applicability of very general tools, based only upon the principle of causality, for diagnosing the behavior of perturbed chaotic systems and reconstructing their output signals, in situations where the fluctuation-dissipation relation is not of great help.
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Current European Union regulatory risk assessment allows application of pesticides provided that recovery of nontarget arthropods in-crop occurs within a year. Despite the long-established theory of source-sink dynamics, risk assessment ignores depletion of surrounding populations and typical field trials are restricted to plot-scale experiments. In the present study, the authors used agent-based modeling of 2 contrasting invertebrates, a spider and a beetle, to assess how the area of pesticide application and environmental half-life affect the assessment of recovery at the plot scale and impact the population at the landscape scale. Small-scale plot experiments were simulated for pesticides with different application rates and environmental half-lives. The same pesticides were then evaluated at the landscape scale (10 km × 10 km) assuming continuous year-on-year usage. The authors' results show that recovery time estimated from plot experiments is a poor indicator of long-term population impact at the landscape level and that the spatial scale of pesticide application strongly determines population-level impact. This raises serious doubts as to the utility of plot-recovery experiments in pesticide regulatory risk assessment for population-level protection. Predictions from the model are supported by empirical evidence from a series of studies carried out in the decade starting in 1988. The issues raised then can now be addressed using simulation. Prediction of impacts at landscape scales should be more widely used in assessing the risks posed by environmental stressors.
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The study of the mechanical energy budget of the oceans using Lorenz available potential energy (APE) theory is based on knowledge of the adiabatically re-arranged Lorenz reference state of minimum potential energy. The compressible and nonlinear character of the equation of state for seawater has been thought to cause the reference state to be ill-defined, casting doubt on the usefulness of APE theory for investigating ocean energetics under realistic conditions. Using a method based on the volume frequency distribution of parcels as a function of temperature and salinity in the context of the seawater Boussinesq approximation, which we illustrate using climatological data, we show that compressibility effects are in fact minor. The reference state can be regarded as a well defined one-dimensional function of depth, which forms a surface in temperature, salinity and density space between the surface and the bottom of the ocean. For a very small proportion of water masses, this surface can be multivalued and water parcels can have up to two statically stable levels in the reference density profile, of which the shallowest is energetically more accessible. Classifying parcels from the surface to the bottom gives a different reference density profile than classifying in the opposite direction. However, this difference is negligible. We show that the reference state obtained by standard sorting methods is equivalent, though computationally more expensive, to the volume frequency distribution approach. The approach we present can be applied systematically and in a computationally efficient manner to investigate the APE budget of the ocean circulation using models or climatological data.
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We systematically compare the performance of ETKF-4DVAR, 4DVAR-BEN and 4DENVAR with respect to two traditional methods (4DVAR and ETKF) and an ensemble transform Kalman smoother (ETKS) on the Lorenz 1963 model. We specifically investigated this performance with increasing nonlinearity and using a quasi-static variational assimilation algorithm as a comparison. Using the analysis root mean square error (RMSE) as a metric, these methods have been compared considering (1) assimilation window length and observation interval size and (2) ensemble size to investigate the influence of hybrid background error covariance matrices and nonlinearity on the performance of the methods. For short assimilation windows with close to linear dynamics, it has been shown that all hybrid methods show an improvement in RMSE compared to the traditional methods. For long assimilation window lengths in which nonlinear dynamics are substantial, the variational framework can have diffculties fnding the global minimum of the cost function, so we explore a quasi-static variational assimilation (QSVA) framework. Of the hybrid methods, it is seen that under certain parameters, hybrid methods which do not use a climatological background error covariance do not need QSVA to perform accurately. Generally, results show that the ETKS and hybrid methods that do not use a climatological background error covariance matrix with QSVA outperform all other methods due to the full flow dependency of the background error covariance matrix which also allows for the most nonlinearity.