Divergência genética por análise multivariada de caracteres fenotípicos de Anacardium humile (St. Hilaire)1

RESUMO A espécie Anacardium humile (St. Hilaire) é uma fruteira nativa do Cerrado, utilizada tradicionalmente, tanto no consumo in natura como na forma de sucos, doces e geleias, mas ainda pouco explorada economicamente. Em uma área de cerrado campo sujo, com transição para cerrado campo rupestre, localizada no município de Patrocínio, Minas Gerais, Brasil, 38 genótipos de uma população dessa espécie foram estudados; com o objetivo de avaliar a diversidade fenotípica, estimada por análise multivariada, bem como características morfológicas promissoras para programas de melhoramento e conservação. Assim, o estudo mostrou variabilidade genética satisfatória dentro da população estudada, destacando-se os genótipos 6, 10, 24, 36 e 38 por elevada produção de frutos e maiores pedúnculos e por se apresentarem distantes geneticamente, sendo indicados para futuros trabalhos de melhoramento genético, para serem multiplicados e utilizados em plantios comerciais e de conservação da espécie.

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.

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.

A Feedback Learning and Mental Models Perspective on Strategic Decision Making

This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term success. We present a set of hypotheses about the influence of feedback information and systems thinking facilitation on mental models and management performance. We explore, under controlled conditions, the role of mental models in terms of structure and behaviour. A test based on a simulation experiment with a system dynamics model was performed. Three out of the four hypotheses were confirmed. Causal diagramming positively influences mental model structure similarity, mental model structure similarity positively influences mental model behaviour similarity, and mental model behaviour similarity positively influences the quality of the decision.

A Feedback Learning and Mental Models Perspective on Strategic Decision Making

This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term success. We present a set of hypotheses about the influence of feedback information and systems thinking facilitation on mental models and management performance. We explore, under controlled conditions, the role of mental models in terms of structure and behaviour. A test based on a simulation experiment with a system dynamics model was performed. Three out of the four hypotheses were confirmed. Causal diagramming positively influences mental model structure similarity, mental model structure similarity positively influences mental model behaviour similarity, and mental model behaviour similarity positively influences the quality of the decision

Glauceste Saturnio e a Real Mesa Censória: uma crítica genética das Obras de Cláudio Manuel da Costa

Este artigo objetiva analisar manuscrito original das Obras de Cláudio Manuel da Costa publicadas em 1768, que passou pela Real Mesa Censória e contém vários cortes e correções. Pretende-se discutir as modificações feitas por iniciativa do poeta ou pela Mesa Censória, órgão criado por Pombal para o controle e censura das obras impressas ou em circulação no Reino, funções antes tripartidas entre o Desembargo do Paço, o Santo Ofício e o Ordinário.

A engenharia genética

São abordados os progressos havidos com as técnicas de engenharia genética, capazes de alterar o potencial genético de um organismo, quer pela introdução, quer pela supressão de novos genes estruturais. São mencionadas algumas das aplicações em geral e, em particular, possibilidades de uso no campo da medicina. É feita uma análise crítica dos benefícios e riscos envolvidos.

CP properties of symmetry-constrained two-Higgs-doublet models

The two-Higgs-doublet model can be constrained by imposing Higgs-family symmetries and/or generalized CP symmetries. It is known that there are only six independent classes of such symmetry-constrained models. We study the CP properties of all cases in the bilinear formalism. An exact symmetry implies CP conservation. We show that soft breaking of the symmetry can lead to spontaneous CP violation (CPV) in three of the classes.

Renormalization-group constraints on Yukawa alignment in multi-Higgs-doublet models

We write down the renormalization-group equations for the Yukawa-coupling matrices in a general multi-Higgs-doublet model. We then assume that the matrices of the Yukawa couplings of the various Higgs doublets to right-handed fermions of fixed quantum numbers are all proportional to each other. We demonstrate that, in the case of the two-Higgs-doublet model, this proportionality is preserved by the renormalization-group running only in the cases of the standard type-I, II, X, and Y models. We furthermore show that a similar result holds even when there are more than two Higgs doublets: the Yukawa-coupling matrices to fermions of a given electric charge remain proportional under the renormalization-group running if and only if there is a basis for the Higgs doublets in which all the fermions of a given electric charge couple to only one Higgs doublet.

Optimal design of piezolaminated structures using B-spline strip finite element models

A package of B-spline finite strip models is developed for the linear analysis of piezolaminated plates and shells. This package is associated to a global optimization technique in order to enhance the performance of these types of structures, subjected to various types of objective functions and/or constraints, with discrete and continuous design variables. The models considered are based on a higher-order displacement field and one can apply them to the static, free vibration and buckling analyses of laminated adaptive structures with arbitrary lay-ups, loading and boundary conditions. Genetic algorithms, with either binary or floating point encoding of design variables, were considered to find optimal locations of piezoelectric actuators as well as to determine the best voltages applied to them in order to obtain a desired structure shape. These models provide an overall economy of computing effort for static and vibration problems.

Dominar o aleatório? Risco e incerteza no pensamento moderno: o caso da biomedicina na era da genética

A constatação relativa às importantes transformações que têm vindo a ocorrer na biomedicina, em virtude dos inúmeros avanços em áreas como a genética e a biologia molecular, fornecem-nos elementos de análise bastante relevantes para a compreensão das reconfigurações que a tecnociência tem imprimido nas ciências da vida. Tomando esta evidência como ponto de partida, pretende-se com este trabalho desenvolver uma abordagem ancorada numa reflexão acerca do modo como as noções de Risco e de Incerteza são equacionadas pela ciência moderna. O questionamento crítico destas noções permitir-nos-á, assim, analisar dois aspectos fundamentais. Por um lado, o modo como o pensamento moderno se posiciona teórica e epistemologicamente face aos paradoxos e complexas margens de indeterminação que sempre decorrem da actividade técnico-científica, e por outro, analisar quais as finalidades que subjazem à vontade da ciência e da técnica em controlarem a realidade nas suas múltiplas e variadas dimensões.

Departamento de Genética Humana do INSA e as suas atividades: apresentação no âmbito de uma visita de estudo do ensino secundário

Apresentação das actividades realizadas no Departamento de Genética Humana com particular destaque para a investigação desenvolvida pelo grupo de Toxicologia Genética. Introdução à visita dos alunos aos laboratórios de genética.

Dynamical behaviour on the parameter space: new populational growth models proportional to beta densities

We present new populational growth models, generalized logistic models which are proportional to beta densities with shape parameters p and 2, where p > 1, with Malthusian parameter r. The complex dynamical behaviour of these models is investigated in the parameter space (r, p), in terms of topological entropy, using explicit methods, when the Malthusian parameter r increases. This parameter space is split into different regions, according to the chaotic behaviour of the models.

Constructing good deals in discrete time arbitrage-free dynamic pricing models

Recent literature has proved that many classical pricing models (Black and Scholes, Heston, etc.) and risk measures (V aR, CV aR, etc.) may lead to “pathological meaningless situations”, since traders can build sequences of portfolios whose risk leveltends to −infinity and whose expected return tends to +infinity, i.e., (risk = −infinity, return = +infinity). Such a sequence of strategies may be called “good deal”. This paper focuses on the risk measures V aR and CV aR and analyzes this caveat in a discrete time complete pricing model. Under quite general conditions the explicit expression of a good deal is given, and its sensitivity with respect to some possible measurement errors is provided too. We point out that a critical property is the absence of short sales. In such a case we first construct a “shadow riskless asset” (SRA) without short sales and then the good deal is given by borrowing more and more money so as to invest in the SRA. It is also shown that the SRA is interested by itself, even if there are short selling restrictions.