DEBT, FINANCIAL FRAGILITY AND ECONOMIC GROWTH: A POST-KEYNESIAN MACROMODEL

It is developed a mathematical post-keynesian macromodel of capacity utilization and growth in which the supply of credit-money is endogenous and firms' debt position - and thus the financial fragility of the economy - is explicitly modeled. Both the influence of interest rate and indebtedness on capacity utilization and the rates of profit and growth, on the one hand, and the effect of the parameters of the saving and investment functions on financial fragility, on the other hand, are carefully analyzed.

A MACRODYNAMICS OF DEBT REGIMES, FINANCIAL INSTABILITY AND GROWTH

It is developed a dynamic macromodel of utilization and growth of productive capacity, in which the supply of credit-money is endogenous and firms' debt position - and thus the financial fragility of the economy à la Hyman Minsky - is explicitly modeled. The rate of interest is set as a markup over the base rate, which is exogenously determined by the monetary authority. Banking markup varies with changes in economic activity, which is measured by capacity utilization, while firms' debt position varies with the rates of interest, profit and capital accumulation. Regarding dynamics, it is shown the possibility of relating the stability properties of a system with the interest rate and the debt ratio as state variables to the type of minskyan regime - hedge, speculative, Ponzi - which prevails.

The dependence of the viscosity-parameter on the disk scale height profile

It is shown that the height scale for accretion disks is a constant whenever hydrostatic equilibrium and sub-sonic turbulence regime hold in the disk. In order to have a variable height scale, processes that do contribute with an extra term to the continuity equation are needed. This makes the viscosity parameter much greater in the outer region and much smaller in the inner region. Under these circumstances, turbulence is a presumable source of viscosity in the disk.Comment: 8 pages, submitted to Apj

On the relation between Transversal and Longitudinal Scaling in Cities

Given that a group of cities follows a scaling law connecting urban population with socio-economic or infrastructural metrics (transversal scaling), should we expect that each city would follow the same behavior over time (longitudinal scaling)? This assumption has important policy implications, although rigorous empirical tests have been so far hindered by the lack of suitable data. Here, we advance the debate by looking into the temporal evolution of the scaling laws for 5507 municipalities in Brazil. We focus on the relationship between population size and two urban variables, GDP and water network length, analyzing the time evolution of the system of cities as well as their individual trajectory. We find that longitudinal (individual) scaling exponents are city-specific, but they are distributed around an average value that approaches to the transversal scaling exponent when the data are decomposed to eliminate external factors, and when we only consider cities with a sufficiently large growth rate. Such results give support to the idea that the longitudinal dynamics is a micro-scaling version of the transversal dynamics of the entire urban system. Finally, we propose a mathematical framework that connects the microscopic level to global behavior, and, in all analyzed cases, we find good agreement between theoretical prediction and empirical evidence

Desenvolvimento de marcador molecular para diagnóstico de Pantoea ananatis, o agente causal da mancha branca do milho.

Suplemento. Edição dos resumos do 44º Congresso Brasileiro de Fitopatologia, 2011, Bento Gonçalves. Resumo 1372

Diagnóstico molecular de Pantoea ananatis em milho, sorgo e Digitaria sp.

A doença conhecida como mancha-branca-do-milho (MWS), inicialmente descrita como mancha-de-phaeosphaeria (PLS), é uma das principais doenças do milho no Brasil e vem crescendo em importância para os produtos em diferentes países. A identificação correta do agente etiológico é uma etapa importante para predição e manejo adequado da doença. O fungo Phaeosphaeria maydis foi inicialmente descrito como o agente etiológico dessa doença (Rane et al., 1966). Contudo, o insucesso na reprodução de sintomas, a ocorrência do fungo restrita a algumas áreas de cultivo do milho e sua ausência em áreas de elevada incidência da doença geraram sérias dúvidas sobre a etiologia da mesma. Assim, a realização de estudos científicos detalhados possibilitaram a identificação correta do agente causal da doença como sendo a bactéria Pantoea ananatis (Paccola-Meirelles et al., 2001). A partir dessa data, a doença passou a ser denominada mancha-branca-do-milho. O desenvolvimento de métodos diagnósticos simples, precisos e rápidos podem acelerar a tomada de decisões para controle da doença. Nesse documento é apresentado um método de diagnóstico que apresenta as características descritas anteriormente e que consiste no uso de apenas um par de iniciadores (primers) para amplificar uma região do cromossomo bacteriano que constitui uma assinatura genômica da espécie P. ananatis.bitstream/item/70056/1/doc-142-1.pd

Avaliação da sustentabilidade dos recursos naturais em área de várzea na região do Paraná de Parintins.

As áreas de várzea possuem uma grande diversidade de recursos naturais que são explorados por diversos atores que nela vivem e dependem desse recurso para a sua sobrevivência. Mas poucos estudos nessa área mostram como se encontram a sustentabilidade desses recursos, bem como os impactos gerados pelo seu uso. Este trabalho buscou monitorar os impactos do uso dos recursos naturais em área de manejo de lagos

The Crystal-t Algorithm: A New Approach To Calculate The Sle Of Lipidic Mixtures Presenting Solid Solutions.

Lipidic mixtures present a particular phase change profile highly affected by their unique crystalline structure. However, classical solid-liquid equilibrium (SLE) thermodynamic modeling approaches, which assume the solid phase to be a pure component, sometimes fail in the correct description of the phase behavior. In addition, their inability increases with the complexity of the system. To overcome some of these problems, this study describes a new procedure to depict the SLE of fatty binary mixtures presenting solid solutions, namely the Crystal-T algorithm. Considering the non-ideality of both liquid and solid phases, this algorithm is aimed at the determination of the temperature in which the first and last crystal of the mixture melts. The evaluation is focused on experimental data measured and reported in this work for systems composed of triacylglycerols and fatty alcohols. The liquidus and solidus lines of the SLE phase diagrams were described by using excess Gibbs energy based equations, and the group contribution UNIFAC model for the calculation of the activity coefficients of both liquid and solid phases. Very low deviations of theoretical and experimental data evidenced the strength of the algorithm, contributing to the enlargement of the scope of the SLE modeling.1616740-5