QUANTITATIVE PROPOSITIONAL ANALYSIS AS APPLIED TO BUSINESS ADMINISTRATION RESEARCH

The analysis of interviews with open-ended questions is a common practice amongst researchers in the field of Management. The difficulty therein is to convert the linguistic data into categories or quantitative values for subsequent statistical treatment. Proposals made to this end generally entail counting lexical occurrences which, since they are founded on previously established meanings, fail to include semantic associations made by interviews. This article aims to present an analysis tool comprising a set of techniques apt to generate linguistic units that can be statistically described, compared, modeled and inferred: the Quantitative Propositional Analysis (QPA), Its main difference from other such methods lies in the choice of a proposition - and not the lexical unit - as analysis unit. We present the application of this method through a study about the international expansion of retail firms

Análisis proposicional cuantitativo aplicado a la investigación en administración

A análise de entrevistas com questões abertas é frequente no cotidiano do pesquisador em Administração. Uma de suas dificuldades é a conversão dos dados da fala em categorias ou valores quantitativos para posterior tratamento estatístico. As propostas nesse sentido em geral estão baseadas em contagens de ocorrências lexicais que, por estarem fundamentadas em significações dicionarizadas (previamente estabelecidas), deixam de lado as associações semânticas feitas pelo próprio entrevistado no contexto da entrevista. O objetivo deste artigo é apresentar um instrumento de análise composto de um conjunto de procedimentos para a geração de unidades linguísticas passíveis de descrição, comparação, modelagem e inferência estatísticas: a Análise Proposicional Quantitativa (APQ). Sua principal diferença em relação a outros métodos consiste na escolha da proposição, e não do léxico, como unidade de análise. A aplicação do método é apresentada em um estudo sobre internacionalização de empresas do varejo.The analysis of interviews with open-ended questions is a common practice amongst researchers in the field of Management. The difficulty therein is to convert the linguistic data into categories or quantitative values for subsequent statistical treatment. Proposals made to this end generally entail counting lexical occurrences which, since they are founded on previously established meanings, fail to include semantic associations made by interviews. This article aims to present an analysis tool comprising a set of techniques apt to generate linguistic units that can be statistically described, compared, modeled and inferred: the Quantitative Propositional Analysis (QPA). Its main difference from other such methods lies in the choice of a proposition - and not the lexical unit - as analysis unit. We present the application of this method through a study about the international expansion of retail firms.El análisis de entrevistas con cuestiones abiertas es frecuente en el cotidiano del investigador en Administración. Una de sus dificultades es la conversión de lo datos de la elocución en categorías o valores cuantitativos para posterior tratamiento estadístico. Las propuestas en ese sentido, en general, están basadas en resultados de ocurrencias léxicas que, fundamentadas en significaciones previamente establecidas, dejan de lado las asociaciones semánticas hechas por el propio entrevistado en el contexto de la entrevista. El objetivo de este artículo es presentar un instrumento de análisis compuesto de un conjunto de procedimientos para la generación de unidades lingüísticas pasibles de descripción, comparación, modelo e inferencia estadísticas: el análisis proposicional cuantitativo (APC). Su principal diferencia en relación a otros métodos consiste en la elección de la proposición, y no del léxico, como unidad de análisis. La aplicación del método es presentada en un estudio sobre internacionalización de empresas al por menor

Composição química e atividade inibidora de acetilcolinesterase de óleos voláteis de Myrceugenia myrcioides(Cambess.) O. Berg and Eugenia riedeliana O. Berg, Myrtaceae

The chemical composition of volatile oils from two Myrtaceae species, Myrceugenia myrcioidesand Eugenia riedeliana, both native from the Brazilian Atlantic Rain Forest, was analyzed by GC-MS. Acetylcholinesterase inhibitory activity was colorimetrically evaluated for these oils. For M. myrcioides, monoterpene hydrocarbons represented the major class in the volatile oil, with α-pinene as the most abundant component and a weak inhibitory activity was observed, whilst for E. riedeliana sesquiterpenes were found in higher amounts, being valerianol the major compound, and this oil presented a strong acetylcholinesterase inhibition.A composição química dos óleos voláteis de duas espécies de Myrtaceae, Myrceugenia myrcioidese Eugenia riedeliana, ambas nativas da Mata Atlântica, foi analisada por CG-EM. A atividade inibidora de acetilcolinesterase foi determinada colorimetricamente para estes óleos. Em M. myrcioides, hidrocarbonetos monoterpênicos representaram a classe majoritária de compostos presentes no óleo volátil, sendo α-pineno o componente mais abundante e a atividade inibidora de acetilcolinesterase foi baixa, enquanto para E. riedelianaos sesquiterpenos foram observados em maiores concentrações, sendo o valerianol o componente majoritário, e este óleo apresentou uma forte atividade inibidora da enzima.BIOTA/FAPESPCNPqCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES

A distributed computation of Interpro Pfam, PROSITE and ProDom for protein annotation

Interpro is a widely used tool for protein annotation in genome sequencing projects, demanding a large amount of computation and representing a huge time-consuming step. We present a strategy to execute programs using databases Pfam, PROSITE and ProDom of Interpro in a distributed environment using a Java-based messaging system. We developed a two-layer scheduling architecture of the distributed infrastructure. Then, we made experiments and analyzed the results. Our distributed system gave much better results than Interpro Pfam, PROSITE and ProDom running in a centralized platform. This approach seems to be appropriate and promising for highly demanding computational tools used for biological applications

In vitro and in vivo assessment of the anti-malarial activity of Caesalpinia pluviosa

<p>Abstract</p> <p>Background</p> <p>To overcome the problem of increasing drug resistance, traditional medicines are an important source for potential new anti-malarials. <it>Caesalpinia pluviosa</it>, commonly named "sibipiruna", originates from Brazil and possess multiple therapeutic properties, including anti-malarial activity.</p> <p>Methods</p> <p>Crude extract (CE) was obtained from stem bark by purification using different solvents, resulting in seven fractions. An MTT assay was performed to evaluate cytotoxicity in MCF-7 cells. The CE and its fractions were tested <it>in vitro </it>against chloroquine-sensitive (3D7) and -resistant (S20) strains of <it>Plasmodium falciparum</it> and <it>in vivo </it>in <it>Plasmodium chabaudi</it>-infected mice. <it>In vitro </it>interaction with artesunate and the active <it>C. pluviosa </it>fractions was assessed, and mass spectrometry analyses were conducted.</p> <p>Results</p> <p>At non-toxic concentrations, the 100% ethanolic (F4) and 50% methanolic (F5) fractions possessed significant anti-malarial activity against both 3D7 and S20 strains. Drug interaction assays with artesunate showed a synergistic interaction with the F4. Four days of treatment with this fraction significantly inhibited parasitaemia in mice in a dose-dependent manner. Mass spectrometry analyses revealed the presence of an ion corresponding to <it>m/z </it>303.0450, suggesting the presence of quercetin. However, a second set of analyses, with a quercetin standard, showed distinct ions of <it>m/z </it>137 and 153.</p> <p>Conclusions</p> <p>The findings show that the F4 fraction of <it>C. pluviosa </it>exhibits anti-malarial activity <it>in vitro </it>at non-toxic concentrations, which was potentiated in the presence of artesunate. Moreover, this anti-malarial activity was also sustained <it>in vivo </it>after treatment of infected mice. Finally, mass spectrometry analyses suggest that a new compound, most likely an isomer of quercetin, is responsible for the anti-malarial activity of the F4.</p

Counting BPS states on the Enriques Calabi-Yau

We study topological string amplitudes for the FHSV model using various techniques. This model has a type II realization involving a Calabi-Yau threefold with Enriques fibres, which we call the Enriques Calabi-Yau. By applying heterotic/type IIA duality, we compute the topological amplitudes in the fibre to all genera. It turns out that there are two different ways to do the computation that lead to topological couplings with different BPS content. One of them leads to the standard D0-D2 counting amplitudes, and from the other one we obtain information about bound states of D0-D4-D2 branes on the Enriques fibre. We also study the model using mirror symmetry and the holomorphic anomaly equations. We verify in this way the heterotic results for the D0-D2 generating functional for low genera and find closed expressions for the topological amplitudes on the total space in terms of modular forms, and up to genus four. This model turns out to be much simpler than the generic B-model and might be exactly solvable.Comment: 62 pages, v3: some results at genus 3 corrected, more typos correcte

How Habitat Change and Rainfall Affect Dung Beetle Diversity in Caatinga, a Brazilian Semi-Arid Ecosystem

The aim of the present study was to evaluate how dung beetle communities respond to both environment and rainfall in the Caatinga, a semi-arid ecosystem in northeastern Brazil. The communities were sampled monthly from May 2006 to April 2007 using pitfall traps baited with human feces in two environments denominated “land use area” and “undisturbed area.” Abundance and species richness were compared between the two environments and two seasons (dry and wet season) using a generalized linear model with a Poisson error distribution. Diversity was compared between the two environments (land use area and undisturbed area) and seasons (dry and wet) using the Two-Way ANOVA test. Non-metric multidimensional scaling was performed on the resemblance matrix of Bray-Curtis distances (with 1000 random restarts) to determine whether disturbance affected the abundance and species composition of the dung beetle communities. Spearman's correlation coefficient was used to determine whether rainfall was correlated with abundance and species richness. A total of 1097 specimens belonging to 13 species were collected. The most abundant and frequent species was Dichotomius geminatus Arrow (Coleoptera: Scarabaeidae). The environment exerted an influence over abundance. Abundance and diversity were affected by season, with an increase in abundance at the beginning of the wet season. The correlation coefficient values were high and significant for abundance and species richness, which were both correlated to rainfall. In conclusion, the restriction of species to some environments demonstrates the need to preserve these areas in order to avoid possible local extinction. Therefore, in extremely seasonable environments, such as the Caatinga, seasonal variation strongly affects dung beetle communities