8 resultados para Ruggles, Timothy, 1711-1795.
em Instituto Politécnico do Porto, Portugal
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Artigo em texto integral no link da versão do editor
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Similarly to its past, Africa plays a similar role in the football world as it did during History, if we look at the creation of some of the most powerful empires in the world (the Portuguese, French or English, for example) – as an almost unlimited workforce ‘supplier’. Africa is still searching for its own place in the football world map. With a recent history filled with social conflicts, civil wars and racial discrimination, it was possibly in this continent that the sport was first seen as a means towards social evolution and as ‘peacemaker’. Although these problems also exist in African stadiums, supporters all over the continent go to matches to celebrate and socialize; in a reality constantly shrouded in conflicts and oppression, football is like a ‘light at the end of the tunnel’ to those who believe in a continent sustained by healthy political relations between countries, democratic values and a socially fair ‘use’ of a country’s potential – and always for the profit of its own people. But while see the attempt to use football with that objective, others see it as their ticket out of their country, to avoid getting involved in military conflicts and seek better life conditions for themselves and their families (both those who accompany them and those who remain in Africa). Others, still, try to make the most of others’ will to leave a less favourable social reality; Portugal, for its past as a colonizing country, also saw in the African players a way to develop the football phenomenon in its European territory. This article attempts to analyze the influence of Portuguese colonialism in the emigration of African players to Europe, since Portugal presents itself as one of the biggest ‘importers’ of these players.
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This study describes the change of the ultraviolet spectral bands starting from 0.1 to 5.0 nm slit width in the spectral range of 200–400 nm. The analysis of the spectral bands is carried out by using the multidimensional scaling (MDS) approach to reach the latent spectral background. This approach indicates that 0.1 nm slit width gives higher-order noise together with better spectral details. Thus, 5.0 nm slit width possesses the higher peak amplitude and lower-order noise together with poor spectral details. In the above-mentioned conditions, the main problem is to find the relationship between the spectral band properties and the slit width. For this aim, the MDS tool is to used recognize the hidden information of the ultraviolet spectra of sildenafil citrate by using a ShimadzuUV–VIS 2550, which is in theworld the best double monochromator instrument. In this study, the proposed mathematical approach gives the rich findings for the efficient use of the spectrophotometer in the qualitative and quantitative studies.
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In this paper, the fractional Fourier transform (FrFT) is applied to the spectral bands of two component mixture containing oxfendazole and oxyclozanide to provide the multicomponent quantitative prediction of the related substances. With this aim in mind, the modulus of FrFT spectral bands are processed by the continuous Mexican Hat family of wavelets, being denoted by MEXH-CWT-MOFrFT. Four modulus sets are obtained for the parameter a of the FrFT going from 0.6 up to 0.9 in order to compare their effects upon the spectral and quantitative resolutions. Four linear regression plots for each substance were obtained by measuring the MEXH-CWT-MOFrFT amplitudes in the application of the MEXH family to the modulus of the FrFT. This new combined powerful tool is validated by analyzing the artificial samples of the related drugs, and it is applied to the quality control of the commercial veterinary samples.
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The goal of this study is to analyze the dynamical properties of financial data series from nineteen worldwide stock market indices (SMI) during the period 1995–2009. SMI reveal a complex behavior that can be explored since it is available a considerable volume of data. In this paper is applied the window Fourier transform and methods of fractional calculus. The results reveal classification patterns typical of fractional order systems.
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One of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machinelearning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm optimization (DPSO) is an evolutionary algorithm that extends the PSO using natural selection, or survival of the fittest, to enhance the ability to escape from local optima. This paper firstly presents a survey on PSO algorithms mainly focusing on the DPSO. Afterward, a method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts is proposed. The fractional-order optimization algorithm, denoted as FO-DPSO, is tested using several well-known functions, and the relationship between the fractional-order velocity and the convergence of the algorithm is observed. Moreover, experimental results show that the FO-DPSO significantly outperforms the previously presented FO-PSO.