5 resultados para Non verbal Intelligence

em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal


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Aristotle said "Man is a social animal," that does not know how to live isolated and need interaction with their peers. Over several millenniums the man was found many ways to communicate – from smoke signals to sign language or even writing – and this need not slowed down over the years, instead of this, became increasingly glaring. Communication has become increasingly imperative in our lives. But the communication has long ceased to be seen merely as a transmission of words. Nowadays, in the today's society, the man relates to others through two levels: verbal and non-verbal. These two dimensions of communication arise often together, completing or in opposition to, even if the human being does not realize it. Proxemics, as one of the areas covered in Non-Verbal Communication is responsible for studying the distances and proximities that are between people and spaces and how each of us do to protect and defend their personal territory. Will be the Gender, Age, Profession or the Barriers to Communication able to significantly influence the proxemic? The present study will answer to these questions.

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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.

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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.

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Developed societies are currently facing severe demographic changes: the world is getting older at an unprecedented rate. In 2000, about 420 million people, or approximately 7 percent of the world population, were aged 65 or older. By 2050, that number will be nearly 1.5 billion people, about 16 percent of the world population. This demographic trend will be also followed by an increase of people with physical limitations. New challenges will be raised to the traditional health care systems, not only in Portugal, but also in all other European states. There is an urgent need to find solutions that allow extending the time people can live in their preferred environment by increasing their autonomy, self-confidence and mobility. AAL4ALL presents an idea for an answer through the development of an ecosystem of products and services for Ambient Assisted Living (AAL) associated to a business model and validated through large scale trial. This paper presents the results of the first survey developed within the AAL4ALL project: the users’ survey targeted at the Portuguese seniors and pre-seniors. This paper is, thus, about the lives of the Portuguese population aged 50 and over.

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O uso da imagem, no livro ilustrado, está associado às idades em que a criança ainda não tem domínio da escrita sendo a descodificação e a exploração das imagens as primeiras competências a serem adquiridas. À medida que a criança se familiariza com a leitura verbal e com o desenvolvimento desta competência, a imagem é gradualmente retirada do livro. No âmbito do projeto prático integrado no Mestrado em Ilustração e Animação foi criado um livro para a infância com atividades onde o leitor intervenha tornando-se também autor, concluindo-o e produzindo um objeto único. Propusemo-nos, ainda, apresentar o livro ilustrado e as atividades/ experiências visuais como instrumentos que ajudam a criança a crescer sem frustrações, onde descobrem e desenvolvem capacidades estéticas, emocionais e intelectuais. Dentro do livro ilustrado pretendemos estudar os livros interativos que exploram as duas linguagens, criando uma narrativa plástica e que permitem explorar a tridimensionalidade e o brincar ao faz de conta. Estes são produtos de experiências visuais e tácteis, repletos de estímulos para que a criança seja capaz de explorar e comunicar verbalmente e visualmente, articulando muitas vezes entre o bidimensional com o tridimensional, a regra com o acaso e a forma com a “não forma”, permitindo uma apreciação máxima do objeto.