Periodología literaria y enseñanza de la literatura. Perspectiva didáctica e intervención educativa desde la literatura comparada

Algunos criticos como Croce defendieron la originalidad y la individualidad de toda obra literaria basandose en que se trataba de algo unico, irrepetible y por tanto siempre al margen de cualquier catalogacion (cfr. Croce 1946). Por supuesto, esta vision implicaba un rechazo directo hacia los rotulos y la causa generacional, que segun el prof. Pires de Aguiar e Silva podian sugerir, bien implicando, una buena dosis de imprecision (cfr. Aguiar e Silva 1990: 243). Sin embargo, desde un punto de vista eminentemente sociologico hemos de tener en cuenta que cada escritor o escritora puede considerarse como producto de un tiempo y un pensamiento determinados, lo cual permite su inclusion en un proyecto comun que lo delata, la delata, como miembro de una comunidad precisa y concreta, de una epoca determinada y, por supuesto, de un espacio y un momento claramente definidos. Es asi como, aludiendo a Godzich, que ha criticado la ceguera de la historiografia literaria ante una realidad tan compleja como el manifiesto (cfr. Godzich 1986: 8-9), podriamos apostar en el mismo sentido por la vena periodologica en semejante clave historiografica

Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo

In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

Design de embalagem: a legibilidade pelo usuário idoso

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Conformidade da rotulagem de alimentos consumidos por escolares à legislação brasileira

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Antioxidantes informados nos rótulos dos óleos vegetais comestíveis

The study of antioxidant has a great interest to biochemistry and medicine, due to of used in the human body as inhibitor to free radical process, which can cause premature aging and degenerative diseases. Furthermore, antioxidant is widely used in food industry that i s used to prevent food deterioration, in fats and oils (autoxidation, known as rancidity). Thereby, the survey data labels of vegetable oils such as soybean one, corn one and sunflower one, it is very important, with this survey data label was possible to verify the antioxidants used on vegetable oils and describe their chemical structure, molecular formula, lethal dose and daily dose by review. Following this review, it was possible to create a website with in formation and description of antioxidants. This database has free access to the public, in order to help the population about these chemicals compounds, and help them to choose the more beneficial food to eat