Water table waves in an unconfined aquifer: Experiments and modeling

[1] Comprehensive measurements are presented of the piezometric head in an unconfined aquifer during steady, simple harmonic oscillations driven by a hydrostatic clear water reservoir through a vertical interface. The results are analyzed and used to test existing hydrostatic and nonhydrostatic, small-amplitude theories along with capillary fringe effects. As expected, the amplitude of the water table wave decays exponentially. However, the decay rates and phase lags indicate the influence of both vertical flow and capillary effects. The capillary effects are reconciled with observations of water table oscillations in a sand column with the same sand. The effects of vertical flows and the corresponding nonhydrostatic pressure are reasonably well described by small-amplitude theory for water table waves in finite depth aquifers. That includes the oscillation amplitudes being greater at the bottom than at the top and the phase lead of the bottom compared with the top. The main problems with respect to interpreting the measurements through existing theory relate to the complicated boundary condition at the interface between the driving head reservoir and the aquifer. That is, the small-amplitude, finite depth expansion solution, which matches a hydrostatic boundary condition between the bottom and the mean driving head level, is unrealistic with respect to the pressure variation above this level. Hence it cannot describe the finer details of the multiple mode behavior close to the driving head boundary. The mean water table height initially increases with distance from the forcing boundary but then decreases again, and its asymptotic value is considerably smaller than that previously predicted for finite depth aquifers without capillary effects. Just as the mean water table over-height is smaller than predicted by capillarity-free shallow aquifer models, so is the amplitude of the second harmonic. In fact, there is no indication of extra second harmonics ( in addition to that contained in the driving head) being generated at the interface or in the interior.

Gene flow in great bustard populations across the Strait of Gibraltar as elucidated from excremental PCR and mtDNA sequencing

Recent advances in molecular biology have made it possible to use the trace amounts of DNA in faeces to non-invasively sample endangered species for genetic studies. Here we use faeces as a source of DNA and mtDNA sequence data to elucidate the relationship among Spanish and Moroccan populations of great bustards. 834 bp of combined control region and cytochrome-b mtDNA fragments revealed four variable sites that defined seven closely related haplotypes in 54 individuals. Morocco was fixed for a single mtDNA haplotype that occurs at moderate frequency (28%) in Spain. We could not differentiate among the sampled Spanish populations of Caceres and Andalucia but these combined populations were differentiated from the Moroccan population. Estimates of gene flow (Nm = 0.82) are consistent with extensive observations on the southern Iberian peninsular indicating that few individuals fly across the Strait of Gibraltar. We demonstrate that both this sea barrier and mountain barriers in Spain limit dispersal among adjacent great bustard populations to a similar extent. The Moroccan population is of high ornithological significance as it holds the only population of great bustards in Africa. This population is critically small and genetic and observational data indicate that it is unlikely to be recolonised via immigration from Spain should it be extirpated. In light of the evidence presented here it deserves the maximum level of protection.

Surface diffusion of strongly adsorbing vapors in activated carbon by a differential permeation method

Conventional methods to determine surface diffusion of adsorbed molecules are proven to be inadequate for strongly adsorbing vapors on activated carbon. Knudsen diffusion permeability (B-k) for strongly adsorbing vapors cannot be directly estimated from that of inert gases such as helium. In this paper three models are considered to elucidate the mechanism of surface diffusion in activated carbon. The transport mechanism in all three models is a combination of Knudsen diffusion, viscous flow and surface diffusion. The collision reflection factor f (which is the fraction of molecules undergoing collision to the solid surface over reflection from the surface) of the Knudsen diffusivity is assumed to be a function of loading. It was found to be 1.79 in the limit of zero loading, and decreases as loading increases. The surface diffusion permeability increases sharply at very low pressures and then starts to decrease after it has reached a maximum (B(mum)s) at a threshold pressure. The initial rapid increase in the total permeability is mainly attributed to surface diffusion. Interestingly the B(mum)s for all adsorbates appear at the same volumetric adsorbed phase concentration, suggesting that the volume of adsorbed molecules may play an important role in the surface diffusion mechanism in activated carbon. (C) 2003 Elsevier Ltd. All rights reserved.

The left ventricular contractility of the rat heart is modulated by changes in flow and a1-adrenoceptor stimulation

Myocardial contractility depends on several mechanisms such as coronary perfusion pressure (CPP) and flow as well as on a1-adrenoceptor stimulation. Both effects occur during the sympathetic stimulation mediated by norepinephrine. Norepinephrine increases force development in the heart and produces vasoconstriction increasing arterial pressure and, in turn, CPP. The contribution of each of these factors to the increase in myocardial performance needs to be clarified. Thus, in the present study we used two protocols: in the first we measured mean arterial pressure, left ventricular pressure and rate of rise of left ventricular pressure development in anesthetized rats (N = 10) submitted to phenylephrine (PE) stimulation before and after propranolol plus atropine treatment. These observations showed that in vivo a1-adrenergic stimulation increases left ventricular-developed pressure (P<0.05) together with arterial blood pressure (P<0.05). In the second protocol, we measured left ventricular isovolumic systolic pressure (ISP) and CPP in Langendorff constant flow-perfused hearts. The hearts (N = 7) were perfused with increasing flow rates under control conditions and PE or PE + nitroprusside (NP). Both CPP and ISP increased (P<0.01) as a function of flow. CPP changes were not affected by drug treatment but ISP increased (P<0.01). The largest ISP increase was obtained with PE + NP treatment (P<0.01). The results suggest that both mechanisms, i.e., direct stimulation of myocardial a1-adrenoceptors and increased flow, increased cardiac performance acting simultaneously and synergistically.

An optical flow-based sensing system for reactive mobile robot navigation

This work discusses the use of optical flow to generate the sensorial information a mobile robot needs to react to the presence of obstacles when navigating in a non-structured environment. A sensing system based on optical flow and time-to-collision calculation is here proposed and experimented, which accomplishes two important paradigms. The first one is that all computations are performed onboard the robot, in spite of the limited computational capability available. The second one is that the algorithms for optical flow and time-to-collision calculations are fast enough to give the mobile robot the capability of reacting to any environmental change in real-time. Results of real experiments in which the sensing system here proposed is used as the only source of sensorial data to guide a mobile robot to avoid obstacles while wandering around are presented, and the analysis of such results allows validating the proposed sensing system.

Transações com partes relacionadas : determinantes e impactos no desempenho das empresas

A literatura internacional que analisa os fatores impactantes das transações com partes relacionadas concentra-se no Reino Unido, nos EUA e no continente asiático, sendo o Brasil um ambiente pouco investigado. Esta pesquisa tem por objetivo investigar tanto os fatores impactantes dos contratos com partes relacionadas, quanto o impacto dessas transações no desempenho das empresas brasileiras. Estudos recentes que investigaram as determinantes das transações com partes relacionadas (TPRs), assim como seus impactos no desempenho das empresas, levaram em consideração as vertentes apresentadas por Gordon, Henry e Palia (2004): (a) de conflitos de interesses, as quais apoiam a visão de que as TPRs são danosas para os acionistas minoritários, implicando expropriação da riqueza deles, por parte dos controladores (acionistas majoritários); e (b) transações eficientes que podem ser benéficas às empresas, atendendo, desse modo, aos objetivos econômicos subjacentes delas. Esta pesquisa apoia-se na vertente de conflito de interesses, com base na teoria da agência e no fato de que o cenário brasileiro apresenta ter como característica uma estrutura de propriedade concentrada e ser um país emergente com ambiente legal caracterizado pela baixa proteção aos acionistas minoritários. Para operacionalizar a pesquisa, utilizou-se uma amostra inicial composta de 70 empresas com ações listadas na BM&FBovespa, observando o período de 2010 a 2012. Os contratos relacionados foram identificados e quantificados de duas formas, de acordo com a metodologia aplicada por Kohlbeck e Mayhew (2004; 2010) e Silveira, Prado e Sasso (2009). Como principais determinantes foram investigadas proxies para captar os efeitos dos mecanismos de governança corporativa e ambiente legal, do desempenho das empresas, dos desvios entre direitos sobre controle e direitos sobre fluxo de caixa e do excesso de remuneração executiva. Também foram adicionadas variáveis de controle para isolar as características intrínsecas das firmas. Nas análises econométricas foram estimados os modelos pelos métodos de Poisson, corte transversal agrupado (Pooled-OLS) e logit. A estimação foi feita pelo método dos mínimos quadrados ordinários (MQO), e para aumentar a robustez das estimativas econométricas, foram utilizadas variáveis instrumentais estimadas pelo método dos momentos generalizados (MMG). As evidências indicam que os fatores investigados impactam diferentemente as diversas medidas de TPRs das empresas analisadas. Verificou-se que os contratos relacionados, em geral, são danosos às empresas, impactando negativamente o desempenho delas, desempenho este que é aumentado pela presença de mecanismos eficazes de governança corporativa. Os resultados do impacto das medidas de governança corporativa e das características intrínsecas das firmas no desempenho das empresas são robustos à presença de endogeneidade com base nas regressões com variáveis instrumentais.

Hedge accounting no mercado acionário brasileiro : efeitos na qualidade da informação contábil e disclosure

Este trabalho investiga, no mercado acionário brasileiro, o efeito da contabilidade de hedge na qualidade das informações contábeis divulgadas, no disclosure dos instrumentos financeiros derivativos e na assimetria de informação. Para medir a qualidade da informação contábil, foram utilizadas as métricas de relevância da informação contábil e informatividade dos lucros contábeis. Para a execução deste trabalho, foi constituída uma amostra geral com empresas brasileiras, não financeiras, listadas na Bolsa de Valores de São Paulo, compreendendo as 150 empresas com maior valor de mercado em 01/01/2014. A partir da amostra geral, foram constituídas amostras para a aplicação dos modelos de value relevance, informativeness, disclosure e assimetria de informação. A amostra para relevância contou com 758 observações firmas-anos, para o período de 2008 a 2013. A amostra para informatividade contou com 701 observações firmas-anos, para o período de 2008 a 2013. A amostra para disclosure contou com 100 observações firmas-anos, para o período de 2011 a 2012. A amostra para assimetria de informação contou com 100 observações firmas-anos, para o período de 2011 a 2012. Para as análises dos dados, utilizou-se regressões com errospadrão robustos com abordagem POLS e Efeitos Fixos, aplicadas sobre dados em painel. Complementarmente, para as análises do efeito do hedge accounting sobre o disclosure e assimetria de informação, foi aplicado o método de Propensity Score Matching. As evidências encontradas para a influência da contabilidade de hedge na relevância da informação contábil apontaram uma relação positiva e significante na interação com o LL. Na análise da informatividade dos lucros contábeis, a pesquisa evidenciou uma relação negativa e estatisticamente significante do lucro quando interagido com a variável dummy de hedge accounting. Quanto às evidências encontradas para a influência do hedge accounting sobre o disclosure dos derivativos, verificou-se uma relação positiva e estatisticamente significante da dummy de hedge accounting com o indicador de evidenciação dos derivativos. Em relação às evidências para a assimetria de informação, embora os coeficientes se mostrassem no sentido esperado, os mesmos não foram estatisticamente significativos. Adicionalmente, incorporamse às análises econométricas uma análise descritiva, na amostra geral, da utilização do hedge accounting no Brasil, para o ano de 2013. Dentre as 150 empresas da amostra, 49 empresas utilizaram hedge accounting, onde 41 empresas adotam apenas 1 tipo de hedge. O hedge de fluxo de caixa é o tipo de hedge mais adotado pelas empresas, sendo utilizado por 42 companhias.

Estudo da cristalização de parafinas por espectroscopia de RMN em temperaturas variáveis

A cristalização e formação de depósitos parafínicos é um problema operacional crítico na indústria do petróleo em todo o mundo e provoca grandes perdas econômicas na recuperação do óleo. São muitos os estudos que têm sido realizados para desenvolver modelos termodinâmicos de predição da precipitação de parafinas, sendo que boa parte deles utilizam a ressonância magnética nuclear (RMN) em alto ou baixo campo magnético juntamente com outras técnicas como calorimetria exploratória diferencial (DSC), análise elementar e cromatografia gasosa para caracterizar a fase sólida formada a partir do petróleo. Este trabalho busca um maior entendimento da cristalização de ceras parafínicas por meio de experimentos de espectroscopia de RMN de 1H e 13C conduzidos em temperaturas variáveis, o que pode auxiliar na previsão e remediação dos problemas causados pela sua deposição nas linhas de escoamento da produção. Para isso, o estudo desse fenômeno foi conduzido inicialmente em amostras de parafina comercial e, posteriormente, em uma amostra de petróleo parafínico com variação de temperatura sem extrair a fase sólida, garantindo a não interferência de solventes que podem influenciar no processo de cristalização. A metodologia desenvolvida demonstrou ser útil para determinar a temperatura inicial de aparecimento de cristais (TIAC), sendo obtida uma boa concordância com os resultados de DSC para a parafina comercial e petróleo. O registro de espectros em diferentes temperaturas permitiu também a identificação das variações de intensidade e largura de linha dos sinais associados aos diferentes grupos químicos presentes nos materiais estudados.

Measuring fund performance using multi-factor models: evidence for the Portuguese market

This paper examines the performance of Portuguese equity funds investing in the domestic and in the European Union market, using several unconditional and conditional multi-factor models. In terms of overall performance, we find that National funds are neutral performers, while European Union funds under-perform the market significantly. These results do not seem to be a consequence of management fees. Overall, our findings are supportive of the robustness of conditional multi-factor models. In fact, Portuguese equity funds seem to be relatively more exposed to smallcaps and more value-oriented. Also, they present strong evidence of time-varying betas and, in the case of the European Union funds, of time-varying alphas too. Finally, in terms of market timing, our tests suggest that mutual fund managers in our sample do not exhibit any market timing abilities. Nevertheless, we find some evidence of timevarying conditional market timing abilities but only at the individual fund level.

Models for the Reverse Engineering of Java/Swing Applications

Abstract. Interest in design and development of graphical user interface (GUIs) is growing in the last few years. However, correctness of GUI's code is essential to the correct execution of the overall software. Models can help in the evaluation of interactive applications by allowing designers to concentrate on its more important aspects. This paper describes our approach to reverse engineering abstract GUI models directly from the Java/Swing code.

Color Models and Illumination Changes

Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.

Extracting and verifying coordination models from source code

Current software development relies increasingly on non-trivial coordination logic for com- bining autonomous services often running on di erent platforms. As a rule, however, in typical non-trivial software systems, such a coordination layer is strongly weaved within the application at source code level. Therefore, its precise identi cation becomes a major methodological (and technical) problem which cannot be overestimated along any program understanding or refactoring process. Open access to source code, as granted in OSS certi cation, provides an opportunity for the devel- opment of methods and technologies to extract, from source code, the relevant coordination information. This paper is a step in this direction, combining a number of program analysis techniques to automatically recover coordination information from legacy code. Such information is then expressed as a model in Orc, a general purpose orchestration language

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.