"Owned by...". Country of origin's new cue

This study identifies and explores a new country of origin (COO) cue, “owned by….” The importance of three extrinsic cues “owned by …,” “made in …” and price was examined using conjoint analysis. Data were collected from a sample of 268 undergraduate students familiar with color televisions. Segments were formed using cluster analysis and analyzed using multiple discriminant analysis. “Owned by …” was found to be important and distinct from the “made in …” cue. Segments based on the two COO cues were identified using importance weights and individual utilities. When segments were formed using individual utilities the individual difference construct, economic nationalism, provided discriminatory power while consumer ethnocentrism did not, supporting the hypothesis that economic nationalism and consumer ethnocentrism differ. Practitioners can now use “owned by …” knowing that it forms an important and distinct marketing tool. Limitations and future research are discussed.

Stock discrimination and movements of narrow-barred Spanish mackerel across northern Australia as indicated by parasites

The parasite fauna of Spanish mackerel Scomberomorus commerson from 10 sites across northern Australia and one site in Indonesia, was examined to evaluate the degree of movement and subsequent stock structure of the fish. Kupang fish (Indonesia) had very few Terranova spp.. Grillotia branchi, Otobothrium cysticum or Pterobothrium sp. compared to Australian fish, indicating that no Australian fish enter the Kupang fishery. Univariate and discriminant function analysis of four 'temporary' parasite species, the copepod Pseudocyenoides armatus and the monogeneans Gotocotyla bivaginalis, Pricea multae and Pseudothoracocotyla ovalis, demonstrated little similarity between areas of northern Australia, indicating minimal short-term exchange between neighbouring groups of S. commerson. Analyses of five 'permanent' parasite species, the larval helminths G. branchi, O. cysticum, Pterobothrium sp., Callitetrarhynchus gracilis and Paranybelinia balli, also revealed large differences between areas thus indicating long-term separation. There are at least six parasitological stocks across northern Australia: Fog Bay/Bathurst Island, Cape Wessel. Groote/Sir Edward Pellew. Mornington Island, Weipa. and the Torres Strait. The occurrence of a few irregular fish in the samples suggested that LIP to 5% of fish moved between stocks during their lifetime. The similarity of within-school variability to that between schools showed that the fish do not form long-term school associations. (C) 2003 The Fisheries Society of the British Isles.

Computational differentiation of N-terminal signal peptides and transmembrane helices

Signal peptides and transmembrane helices both contain a stretch of hydrophobic amino acids. This common feature makes it difficult for signal peptide and transmembrane helix predictors to correctly assign identity to stretches of hydrophobic residues near the N-terminal methionine of a protein sequence. The inability to reliably distinguish between N-terminal transmembrane helix and signal peptide is an error with serious consequences for the prediction of protein secretory status or transmembrane topology. In this study, we report a new method for differentiating protein N-terminal signal peptides and transmembrane helices. Based on the sequence features extracted from hydrophobic regions (amino acid frequency, hydrophobicity, and the start position), we set up discriminant functions and examined them on non-redundant datasets with jackknife tests. This method can incorporate other signal peptide prediction methods and achieve higher prediction accuracy. For Gram-negative bacterial proteins, 95.7% of N-terminal signal peptides and transmembrane helices can be correctly predicted (coefficient 0.90). Given a sensitivity of 90%, transmembrane helices can be identified from signal peptides with a precision of 99% (coefficient 0.92). For eukaryotic proteins, 94.2% of N-terminal signal peptides and transmembrane helices can be correctly predicted with coefficient 0.83. Given a sensitivity of 90%, transmembrane helices can be identified from signal peptides with a precision of 87% (coefficient 0.85). The method can be used to complement current transmembrane protein prediction and signal peptide prediction methods to improve their prediction accuracies. (C) 2003 Elsevier Inc. All rights reserved.

Estudo da camada limite atmosférica em regiões metropolitanas costeiras com simulações de brisa marítima

O principal objetivo deste trabalho foi identificar e caracterizar a evolução diária da Camada Limite Atmosférica (CLA) na Região da Grande Vitória (RGV), Estado do Espírito Santo, Brasil e na Região de Dunkerque (RD), Departamento Nord Pas-de-Calais, França, avaliando a acurácia de parametrizações usadas no modelo meteorológico Weather Research and Forecasting (WRF) em detectar a formação e atributos da Camada Limite Interna (CLI) que é formada pelas brisas marítimas. A RGV tem relevo complexo, em uma região costeira de topografia acidentada e uma cadeia de montanhas paralela à costa. A RD tem relevo simples, em uma região costeira com pequenas ondulações que não chegam a ultrapassar 150 metros, ao longo do domínio de estudos. Para avaliar os resultados dos prognósticos feitos pelo modelo, foram utilizados os resultados de duas campanhas: uma realizada na cidade de Dunkerque, no norte da França, em Julho de 2009, utilizando um sistema light detection and ranging (LIDAR), um sonic detection and ranging (SODAR) e dados de uma estação meteorológica de superfície (EMS); outra realizada na cidade de Vitória – Espírito Santo, no mês de julho de 2012, também usando um LIDAR, um SODAR e dados de uma EMS. Foram realizadas simulações usando três esquemas de parametrizações para a CLA, dois de fechamento não local, Yonsei University (YSU) e Asymmetric Convective Model 2 (ACM2) e um de fechamento local, Mellor Yamada Janjic (MYJ) e dois esquemas de camada superficial do solo (CLS), Rapid Update Cycle (RUC) e Noah. Tanto para a RGV quanto para a RD, foram feitas simulações com as seis possíveis combinações das três parametrizações de CLA e as duas de CLS, para os períodos em que foram feitas as campanhas, usando quatro domínios aninhados, sendo os três maiores quadrados com dimensões laterais de 1863 km, 891 km e 297 km, grades de 27 km, 9 km e 3 km, respectivamente, e o domínio de estudo, com dimensões de 81 km na direção Norte-Sul e 63 km na Leste-Oeste, grade de 1 km, com 55 níveis verticais, até um máximo de, aproximadamente, 13.400 m, mais concentrados próximos ao solo. Os resultados deste trabalho mostraram que: a) dependendo da configuração adotada, o esforço computacional pode aumentar demasiadamente, sem que ocorra um grande aumento na acurácia dos resultados; b) para a RD, a simulação usando o conjunto de parametrizações MYJ para a CLA com a parametrização Noah produziu a melhor estimativa captando os fenômenos da CLI. As simulações usando as parametrizações ACM2 e YSU inferiram a entrada da brisa com atraso de até três horas; c) para a RGV, a simulação que usou as parametrizações YSU para a CLA em conjunto com a parametrização Noah para CLS foi a que conseguiu fazer melhores inferências sobre a CLI. Esses resultados sugerem a necessidade de avaliações prévias do esforço computacional necessário para determinadas configurações, e sobre a acurácia de conjuntos de parametrizações específicos para cada região pesquisada. As diferenças estão associadas com a capacidade das diferentes parametrizações em captar as informações superficiais provenientes das informações globais, essenciais para determinar a intensidade de mistura turbulenta vertical e temperatura superficial do solo, sugerindo que uma melhor representação do uso de solo é fundamental para melhorar as estimativas sobre a CLI e demais parâmetros usados por modelos de dispersão de poluentes atmosféricos.

Towards Emotional Interaction: Using Movies to Automatically Learn Users' Emotional States

The HCI community is actively seeking novel methodologies to gain insight into the user’s experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies’ scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.

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.

Análise psicométrica da escala de impacto na autonomia e participação, em pessoas com esclerose múltipla

A avaliação da Autonomia e funcionalidade das pessoas com esclerose múltipla é fundamental para a compreensão das limitações e necessidades destas pessoas. O presente estudo tem como objectivo estudar as propriedades psicométricas da Escala de Impacto Autonomia e Participação em doentes com esclerose múltipla. Participaram neste estudo 280 indivíduos com diagnóstico de esclerose múltipla, 71,4% mulheres com idade média de 39,23 anos. Procedeu-se à análise factorial exploratória, consistência interna, teste-reteste, validade convergente e discriminante. Os resultados demonstram valores psicométricos apropriados para a versão de língua portuguesa semelhantes às versões de língua alemã e de língua inglesa. Concluímos que esta escala tem boas condições psicométricas para avaliar a autonomia funcional em indivíduos com esclerose múltipla. ABSTRACT: Assessment of Autonomy and participation of patients with multiple sclerosis is essential to understand the limitations and necessities of these patients. The present study aims to examine the psychometric proprieties of the Impact on Participation and Autonomy Questionnaire (IPA) in patient with multiple sclerosis. Participants are 280 patients with a diagnostic of multiple sclerosis, 71.4% females, mean age of 39.23 years. We inspect metric properties namely, validity, construt validity and convergent and discriminant validity, and reliability, internal consistency and test-retest. The results show that IPA is a reliable and valid instrument for assessment autonomy and participation in Portuguese language, with similar sensibility than the Germany and English version. In conclusion these instruments have psychometric conditions for assessment the functional autonomy of people with multiple sclerosis.

Return premiums of sustainable companies listed on the Spanish stock market

The purpose of this paper is to analyze whether companies with a greater commitment to corporate social responsibility (SRI companies) perform differently on the stock market compared to companies that disregard SRI. Over recent years, this relationship has been taken up at both a theoretical and practical level, and has led to extensive scientific research of an empirical nature involving the examination of the relationships existing between the financial and social, environmental and corporate governance performance of a company and the relationship between SRI and investment decisions in the financial market. More specifically, this work provides empirical evidence for the Spanish market as to whether or not belonging to a group of companies the market classes as sustainable results in return premiums that set them apart from companies classed as conventional, and finds no differences in the stock market performance of companies considered to be SRI or conventional.

A model to forecast financial failure, in non financial galician SMES

We are concerned with providing more empirical evidence on forecast failure, developing forecast models, and examining the impact of events such as audit reports. A joint consideration of classic financial ratios and relevant external indicators leads us to build a basic prediction model focused in non-financial Galician SMEs. Explanatory variables are relevant financial indicators from the viewpoint of the financial logic and financial failure theory. The paper explores three mathematical models: discriminant analysis, Logit, and linear multivariate regression. We conclude that, even though they both offer high explanatory and predictive abilities, Logit and MDA models should be used and interpreted jointly.

Schizophrenia in males of cognitive performance: discriminative and diagnostic values

OBJECTIVE: To evaluate the discriminative and diagnostic values of neuropsychological tests for identifying schizophrenia patients. METHODS: A cross-sectional study with 36 male schizophrenia outpatients and 72 healthy matched volunteers was carried out. Participants underwent the following neuropsychological tests: Wisconsin Card Sorting test, Verbal Fluency, Stroop test, Mini Mental State Examination, and Spatial Recognition Span. Sensitivity and specificity estimated the diagnostic value of tests with cutoffs obtained using Receiver Operating Characteristic curves. The latent class model (diagnosis of schizophrenia) was used as gold standard. RESULTS: Although patients presented lower scores in most tests, the highest canonical function for the discriminant analysis was 0.57 (Verbal Fluency M). The best sensitivity and specificity were obtained in the Verbal Fluency M test (75 and 65, respectively). CONCLUSIONS: The neuropsychological tests showed moderate diagnostic value for the identification of schizophrenia patients. These findings suggested that the cognitive impairment measured by these tests might not be homogeneous among schizophrenia patients.

Drogas, sujeito e proibicionismo: uma discussão sobre os modelos de atenção aos usuários de drogas

Pós-graduação em Psicologia - FCLAS

Development and validation of the Portuguese version of the WHOQOL-OLD module

OBJECTIVE: The increasing proportion of older adults in the general population and the specific characteristics of this age group show the need for the development of specific instruments to measure quality of life in older adults. The study aimed at describing the development and validation of the Portuguese version of the World Health Organization Quality of Life for Older Persons (WHOQOL-OLD) module. METHODS: The WHOQOL-OLD instrument was administered in a sample of 424 older adults in the city of Porto Alegre, Southern Brazil, in 2005. The questionnaire comprises 24 items divided into six facets: sensory abilities; autonomy; past, present and future activities; social participation; death and dying; and intimacy. Besides the WHOQOL-OLD module, the WHOQOL-BREF, BDI and BHS instruments were also applied. The instrument's internal consistency was assessed using Cronbach's alpha coefficient. RESULTS: The instrument showed adequate internal consistency (Cronbach's coefficients ranging from 0.71 to 0.88), discriminant validity (p<0.01), concurrent validity (correlation coefficients ranging from -0.61 to -0.50) and test-retest reliability (correlation coefficients ranging from 0.58 to 0.82). Findings concerning criterion validity need further studies. CONCLUSIONS: The WHOQOL-Old module is a useful alternative with good psychometric performance in the investigation of quality of life in older adults.

Fungos endofíticos em Eugenia brasiliensis: prospecção química, biológica, enzimática e avaliação do co-cultivo e epigenética em Xylaria cubensis, Diaporthe sp. e Colletotrichum sp.

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A aprendizagem da divisão: um olhar sobre os procedimentos usados pelos alunos

Este artigo apresenta e discute alguns aspetos sobre a aprendizagem da divisão com números naturais, focando-se nos procedimentos usados por alunos de uma turma do 3.º ano na resolução de tarefas de divisão. Os resultados apresentados fazem parte de uma investigação mais abrangente que teve como finalidade a compreensão do modo como os alunos aprofundam a aprendizagem da multiplicação numa perspetiva de desenvolvimento do sentido do número. A investigação realizada seguiu uma metodologia de design research, na modalidade de experiência de ensino. A análise das produções escritas dos alunos e de episódios de sala de aula relativos às discussões coletivas sobre as resoluções das tarefas propostas mostra que os alunos usam uma diversidade de procedimentos e que estes evoluem significativamente ao longo da experiência de ensino. Esta evolução parece ser suportada pelas características das tarefas, os seus contextos e números, assim como pela articulação, desde logo estabelecida, entre a divisão e a multiplicação. Além disso, o recurso ao modelo retangular parece, também, ter contribuído para a progressão para procedimentos multiplicativos, baseados na decomposição de um dos fatores. Os resultados do estudo permitem ainda perceber que a evolução dos procedimentos usados pelos alunos e a sua diversidade não são alheias ao ambiente de sala de aula construído.