AIM: To compare the incidence of gingival fissures after the use of soft and medium-hard toothbrushes. MATERIAL & METHODS: Overall, 35 participants (14-20 years old), with periodontal attachment loss (PAL)

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This work presents the HyperCAL3D, an application to support the teaching and learning process of Descriptive Geometry through the study of solid objects. The methodology used for its implementation and the main features of the application are described. A selection of concepts was carried out to determine the functional structure of the software should have. From this, the main features were modeled through processes of vector geometry equivalent to that used in Descriptive Geometry. The main features introduced include: the projection process, the representation of hidden lines in three-dimensional model and the projections, successive auxiliary views in real time, and the intersection process. All these tools are implemented in an application that aids the learning process of the students and the teaching procedures of professors.

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Este artigo pretende retomar a interpretação que pode ser chamada de tradicional das três condições do ato propriamente virtuoso expostas em  EN II 4, i.e., o conhecimento, escolher deliberadamente o ato por ele mesmo e seguir-se de uma disposição firme e não hesitante. A atenção da análise será voltada à primeira e à terceira condição. Buscar-se-á mostrar que a condição do conhecimento pode ser compreendida como conhecimento das circunstâncias, do ato ele mesmo como virtuoso e das técnicas ou ofícios que podem ser por ele requeridos. Buscar-se-á igualmente justificar a introdução do termo ‘disposição’ na tradução apresentada, já que o termo grego ‘hexis’ não consta na passagem analisada. Um apontamento será feito, por fim, no sentido de oferecer uma justificativa mais ampla para a interpretação aqui defendida na medida em que a localiza como um posicionamento contrário à concepção intelectualista socrática.

Discrimination and classification time series becomes almost indispensable since the large amountof information available nowadays. The problem of time series discrimination and classification isdiscussed in [1]. In this work the authors propose a novel clustering algorithm based on a class ofquasi U-statistics and subgroup decomposition tests. The decomposition may be applied to any con-cave time-series distance. The resulting test statistics is proved to be asymptotically normal for eitheri.i.d. or non-identically distributed groups of time-series under mild conditions. In practice thereare many time series that are correlated among themselves. An example that can describe this fact isthe financial markets globalization. When one of these markets is affected by an exogenous factor, achain reaction can affect many others. So the independence condition fail.We are interested in analyzing how the correlation among the groups of time series can affectclassification and clustering methods especially the one proposed by [1]. Empirical results show thatthe proposed method is robust to the presence of correlation among time series. The convergence ofthe test statistic for dependent time series will be one of the goals in this work.

References[1]

Valk, M., Pinheiro, A. 2012: Time-series clustering via quasi U-statistics,J. Time Ser. Anal.,Vol. 33, 4, 608 -619.