O protagonismo da mulher na agroindústria familiar.

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Chrononyms and the Time Identity

This paper intends to argue that Chrononymy the denomination of time divisions have been only descriptive or designative because time is still far from being understood So this study of Chrononymy focuses on the examination of the names of temporal phenomena and its goal is to discover the initial motivation of a given chrononym as well as the moment and circumstances in which the primitive semantic layer was broken redirecting a new fluid of meaning through new ramifications of meanings or its semantic emptying It is assumed that the Chrononymy or way of naming the time used by civilizations reveals kinetic-astral space environmental religious and metaphorical motivations In this way Chrononymy would envelop descriptions of these phenomena from the perspective of the paradigms of each epoch which when uncovered rescues the basic scientific and anthropological reference of temporal identity eclipsed by continuous semantic emptying It is sought a theoretical anchor in authors as Bakhtin 1990 Dick 1990 1998 Piettre 1997 among others and analyze etymology and historical-semantic flow for terms like second minute week month year century age and its chrononimic subdivisions with the purpose of identifying the nominee s motivation

Efficient Computation of Multiple Density-Based Clustering Hierarchies

HDBSCAN*, a state-of-the-art density-based hierarchical clustering method, produces a hierarchical organization of clusters in a dataset w.r.t. a parameter mpts. While the performance of HDBSCAN* is robust w.r.t. mpts in the sense that a small change in mpts typically leads to only a small or no change in the clustering structure, choosing a "good" mpts value can be challenging: depending on the data distribution, a high or low value for mpts may be more appropriate, and certain data clusters may reveal themselves at different values of mpts. To explore results for a range of mpts values, however, one has to run HDBSCAN* for each value in the range independently, which is computationally inefficient. In this paper, we propose an efficient approach to compute all HDBSCAN* hierarchies for a range of mpts values by replacing the graph used by HDBSCAN* with a much smaller graph that is guaranteed to contain the required information. An extensive experimental evaluation shows that with our approach one can obtain over one hundred hierarchies for the computational cost equivalent to running HDBSCAN* about 2 times.Comment: A short version of this paper appears at IEEE ICDM 2017. Corrected typos. Revised abstrac

Understanding the role of influencers’ credibility in social media and its impact on consumers’ purchase intentions

Digital media and the internet, in particular, have developed into a massive vehicle for consumer-generated communications. In these contexts, consumers are no longer only passive subjects in the marketing exchange process. Else than consuming content, they increasingly create, share and distribute information to other consumers through digital platforms. The fast growth of social media over the last decades has boosted the adoption of influencer marketing. This type of marketing brought companies new opportunities to expose themselves and strengthen relationships with customers. However, there is some lack of knowledge regarding the drivers that influence the effects of the influencer. In this sense, the current dissertation intents to understand how the characteristics of digital influencers, concerning various dimensions of credibility, affect the consumers' purchase intentions, comparing low and high product involvement. The present study was developed in an exploratory and quantitative way, in which a survey was conducted with 1924 valid responses obtained. The final results indicate that, for low-involvement products, all the credibility related characteristics, namely expertise, trustworthiness, attractiveness and popularity, influence consumers' purchasing intentions. Moreover, it was confirmed that an increase in the influencer’s credibility might increase the user’s purchase intentions. Contrarily, for high-involvement products, only trustworthiness and attractiveness affect purchase intentions, and increases in the credibility of the influencer might not have such a significant impact on purchase intentions.Mídia digital e a internet, em particular, transformaram-se num veículo massivo para as comunicações geradas pelos consumidores. Nestes contextos, os consumidores deixaram de ser apenas agentes passivos no processo de troca no marketing. Mais do que consumir conteúdo, eles cada vez mais criam, partilham e distribuem informações através das plataformas digitais. O rápido crescimento das redes sociais nas últimas décadas impulsionou a adoção do marketing de influência. Este tipo de marketing trouxe novas oportunidades para as empresas se exporem e fortalecerem relações com os seus clientes. No entanto, existe alguma falta de conhecimento sobre os drivers que influenciam os efeitos dos influenciadores. Neste sentido, a presente dissertação foi desenvolvida com o intuito de compreender de que forma as características dos influenciadores digitais, no que diz respeito a várias dimensões de credibilidade, afetam as intenções de compra dos consumidores, comparando baixo e alto envolvimento com o produto. O estudo atual foi desenvolvido de forma exploratória e quantitativa, no qual foi realizado um inquérito com 1924 respostas válidas obtidas. Os resultados finais indicam que, para produtos de baixo envolvimento, todas as características relacionadas com a credibilidade, nomeadamente perícia, fidedignidade, atratividade e popularidade, influenciam as intenções de compra dos consumidores. Além disso, foi confirmado que um aumento na credibilidade do influenciador poderá aumentar as intenções de compra dos consumidores. Pelo contrário, para produtos de alto envolvimento, apenas a fidedignidade e atratividade afetam as intenções de compra, e um aumento da credibilidade do influenciador poderá não ter um impacto significativo nas intenções de compra

Coletânea LABGG para escolas e universidades: NEF.801 ‐ estudo dos polígonos e seus elementos

O uso de computadores nas escolas e universidades tem se mostrado muito importante. Usado como recurso didático, o computador torna‐se cada vez mais presente no ensino aprendizagem. Assim, o presente artigo faz parte de uma coletânea de assuntos matemáticos em forma de módulos aplicados no Laboratório GeoGebra (LABGG)1, segundo Nascimento (2012a, 2012b) é o produto designado pela análise e aplicação do software livre de geometria dinâmica GeoGebra sob uma abordagem construtivista no processo de possibilidades de estudo e aprendizagem da matemática e estatística. Ressalta‐se, porém, que o trabalho dinâmico de estudo e pesquisa provoca a manifestação e a participação dos professores e coordenadores, sensibilizando‐os para o uso adequado do computador como ferramenta de mediação e de auxílio no processo de ensino e aprendizagem. O estudo do artigo denominado módulo NEF.602 trata‐se de uma avaliação de possibilidades de estudo e pesquisas em Geometria I, no tocante as noções inicias para o entendimento dos conceitos de Geometria (aplicada no sexto ano do ensino fundamental), usando e explorando os recursos do LABGG, sendo por escrita (comandos) ou/e graficamente

Intelligent tutoring system for distance education

This study aims to develop and implement a tool called intelligent tutoring system in an online course to help a formative evaluation in order to improve student learning. According to Bloom et al. (1971,117) formative evaluation is a systematic evaluation to improve the process of teaching and learning. The intelligent tutoring system may provide a timely and high quality feedback that not only informs the correctness of the solution to the problem, but also informs students about the accuracy of the response relative to their current knowledge about the solution. Constructive and supportive feedback should be given to students to reveal the right and wrong answers immediately after taking the test. Feedback about the right answers is a form to reinforce positive behaviors. Identifying possible errors and relating them to the instructional material may help student to strengthen the content under consideration. The remedial suggestion should be given in each answer with detaileddescription with regards the materials and instructional procedures before taking next step. The main idea is to inform students about what they have learned and what they still have to learn. The open-source LMS called Moodle was extended to accomplish the formative evaluation, high-quality feedback, and the communal knowledge presented here with a short online financial math course that is being offered at a large University in Brazil. The preliminary results shows that the intelligent tutoring system using high quality feedback helped students to improve their knowledge about the solution to the problems based on the errors of their past cohorts. The results and suggestion for future work are presented and discussed