Discrete cyanide-bridged mixed-valence Co/Fe complexes: Outer-sphere redox behaviour

The outer-sphere redox behaviour of a series of [LnCoIII-NCFeII(CN)(5)](-) (L-n = n-membered pentadentate aza-macrocycle) complexes have been studied as a function of pH and oxidising agent. All the dinuclear complexes show a double protonation process at pH approximate to 2 that produces a shift in their UV/Vis spectra. Oxidation of the different non-protonated and diprotonated complexes has been carried out with peroxodisulfate, and of the non-protonated complexes also with trisoxalatocobaltate(III). The results are in agreement with predictions from the Marcus theory. The oxidation of [Fe(phen)(3)](3+) and [IrCl6](2-) is too fast to be measured, although for the latter the transient observation of the process has been achieved at pH = 0. The study of the kinetics of the outer-sphere redox process, with the S2O82- and [Co(ox)(3)](3-) oxidants, has been carried out as a function of pH, temperature, and pressure. As a whole, the values found for the activation volumes, entropies, and enthalpies are in the following margins, for the diprotonated and non-protonated dinuclear complexes, respectively: DeltaV(not equal) from 11 to 13 and 15 to 20 cm(3) mol(-1); DeltaS(not equal) from 110 to 30 and -60 to -90 J K-1 mol(-1); DeltaH(not equal) from 115 to 80 and 50 to 65 kJ.mol(-1). The thermal activation parameters are clearly dominated by the electrostriction occurring on outer-sphere precursor formation, while the trends found for the values of the volume of activation indicate an important degree of tuning due to the charge distribution during the electron transfer process. The special arrangement on the amine ligands in the isomer trans[(L14CoNCFeII)-N-III(CN)(5)](-) accounts for important differences in solvent-assisted hydrogen bonding occurring within the outer-sphere redox process, as has been established in redox reactions of similar compounds. ((C) Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2003).

Sorte? Lógica? Modelos de significação e a noção de acaso de adultos alunos do Proeja

Esta tese se propôs investigar a lógica inferencial das ações e suas significações em situações que mobilizam as noções de composição probabilística e acaso, bem como o papel dos modelos de significação no funcionamento cognitivo de adultos. Participaram 12 estudantes adultos jovens da classe popular, voluntários, de ambos os sexos, de um curso técnico integrado ao Ensino Médio da Educação de Jovens e Adultos. Foram realizados três encontros, individualmente, com registro em áudio e planilha eletrônica, utilizando-se dois jogos, o Likid Gaz e o Lucky Cassino, do software Missão Cognição (Haddad-Zubel, Pinkas & Pécaut, 2006), e o jogo Soma dos Dados (Silva, Rossetti & Cristo, 2012). Os procedimentos da tarefa foram adaptados de Silva e Frezza (2011): 1) apresentação do jogo; 2) execução do jogo; 3) entrevista semiestruturada; 4) aplicação de três situações-problema com intervenção segundo o Método Clínico; 5) nova partida do jogo; e 6) realização de outras duas situações-problema sem intervenção do Método Clínico. Elaboraram-se níveis de análise heurística, compreensão dos jogos e modelos de significação a partir da identificação de particularidades de procedimentos e significações nos jogos. O primeiro estudo examinou as implicações dos modelos de significação e representações prévias no pensamento do adulto, considerando que o sujeito organiza suas representações ou esquemas prévios relativos a um objeto na forma de modelos de significação em função do grau de complexidade e novidade da tarefa e de sua estrutura lógico matemática, que evoluem por meio do processo de equilibração; para o que precisa da demanda a significar esse aspecto da 13 realidade. O segundo estudo investigou a noção de combinação deduzível evidenciada no jogo Likid Gaz, identificando o papel dos modelos de significação na escolha dos procedimentos, implicando na rejeição de condutas de sistematização ou enumeração. Houve predominância dos níveis iniciais de análise heurística do jogo. O terceiro estudo examinou a noção de probabilidade observada no jogo Lucky Cassino, no qual a maioria dos participantes teve um nível de compreensão do jogo intermediário, com maior diversidade de modelos de significação em relação aos outros jogos, embora com predominância dos mais elementares. A síntese das noções de combinação, probabilidade e acaso foi explorada no quarto estudo pelo jogo Soma dos Dados (Silva, Rossetti & Cristo, 2012), identificando-se que uma limitação para adequada compreensão das ligações imbricadas nessas noções é a implicação significante – se aleatório A, então indeterminado D (notação A  D), com construção de pseudonecessidades e pseudo-obrigações ou mesmo necessidades locais, generalizadas inapropriadamente. A resistência ou obstáculos do objeto deveria provocar perturbações, mas a estrutura cognitiva, o ambiente social e os modelos culturais, e a afetividade podem interferir nesse processo.

Dilemma of choice: China's response to climate change

In recent years, erratic global climate conditions have generated an incessant series of natural disasters in China. This article seeks to explore China's climate change policies. This article addresses the impacts of climate change on China's environment and China's perception, principle, objective and policy actions in response to climate change.

Conditioning information in mutual fund performance evaluation: Portuguese evidence

We estimate and compare the performance of Portuguese-based mutual funds that invest in the domestic market and in the European market using unconditional and conditional models of performance evaluation. Besides applying both partial and full conditional models, we use European information variables, instead of the most common local ones, and consider stochastically detrended conditional variables in order to avoid spurious regressions. The results suggest that mutual fund managers are not able to outperform the market, presenting negative or neutral performance. The incorporation of conditioning information in performance evaluation models is supported by our findings, as it improves the explanatory power of the models and there is evidence of both time-varying betas and alphas related to the public information variables. It is also shown that the number of lags to be used in the stochastic detrending procedure is a critical choice, as it will impact the significance of the conditioning information. In addition, we observe a distance effect, since managers who invest locally seem to outperform those who invest in the European market. However, after controlling for public information, this effect is slightly reduced. Furthermore, the results suggest that survivorship bias has a small impact on performance estimates.

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.

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

Tourists’ perceptions of world heritage destinations: the case of Guimarães

Guimarães is a world heritage site (UNESCO) since December 2001, and is hosting the European Capital of Culture (ECOC) in 2012. This paper examines the profile, destination image and motivations of tourists’ visiting Guimarães before the cultural event. Based on survey responses from 276 tourists, this study found that tourists arrived to Guimarães came from the two most important cities in the northern part of Portugal (Porto and Braga). They are relatively young and well educated compared with the average tourists that visited Portugal. The results suggest that many tourists are aware of the city status as a world heritage site encompassing a historic centre, monuments, and architectural buildings. Further, these perceptions shape the image of Guimarães, as the factor analysis indicates that “historical background and functionality” is the most reliable and valid factor behind the choice of visiting the city. Finally, the main tourists’ motivation to choose Guimarães as theirs destination is educational, rather than recreational as they want to live a learning experience.

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.

The political economy of corruption in Brazil

This article is the first part of a research on corruption in Brazil and it is theoretical. Despite this, it provides an economic interpretation of corruption using Brazil as a case study. The main objective of this research is to apply some microeconomic tools to understand the "big corruption". However, I am going to show that corruption is not simply a kind of crime. Rather, it is an ordinary economic activity that arises in some institutional environments. Firstly, some corruption cases in Brazil will be described. This article is aimed at showing that democracy itself does not ensure control over corruption. Secondly, I am going to do a very brief survey of institutional changes and controls over corruption in some Western Societies in which I am going to argue that corruption, its control and its illegality depend on institutional evolution by streamlining the constitutional and institutional framework. Thirdly, I am going to explain how some economic models could be adopted for a better understanding of corruption. Finally, I will present a multiple-self model applied to the public agent (politician and bureaucrat) constrained by institutions and pay-off systems.

Budgeting and resource allocation in universities: a public choice approach

The calls for colleges and universities to improve their productivity are coming thick and fast in Brazil. Many studies are suggesting evaluation systems and external criteria to control the quality of teaching and research in universities. Since universities and colleges are not profit-oriented organizations (considering only the legitimate and serious research and teaching organizations, of course), the traditional microeconomics and administrative variables used to measure efficiency do not have any direct function. An alternative would be to create an "as if" market control system to evaluate performance in universities and colleges. Internal budget and resources allocation mechanism can be used as incentive instruments to improve quality and productivity. It will be the main issue of this article.

ABOUT PSYCHOLOGICAL VARIABLES IN APPLICATION SCORING MODELS

The purpose of this study is to investigate the contribution of psychological variables and scales suggested by Economic Psychology in predicting individuals’ default. Therefore, a sample of 555 individuals completed a self-completion questionnaire, which was composed of psychological variables and scales. By adopting the methodology of the logistic regression, the following psychological and behavioral characteristics were found associated with the group of individuals in default: a) negative dimensions related to money (suffering, inequality and conflict); b) high scores on the self-efficacy scale, probably indicating a greater degree of optimism and over-confidence; c) buyers classified as compulsive; d) individuals who consider it necessary to give gifts to children and friends on special dates, even though many people consider this a luxury; e) problems of self-control identified by individuals who drink an average of more than four glasses of alcoholic beverage a day.