Analysis of the Response Speed of Musculature of the Knee in Professional Male and Female Volleyball Players

The aim of this study was to evaluate the normalized response speed (Vrn) of the knee musculature (flexor and extensor) in high competitive level volleyball players using tensiomyography (TMG) and to analyze the muscular response of the vastus medialis (VM), rectus femoris (RF), vastus lateralis (VL), and biceps femoris (BF) in accordance with the specific position they play in their teams. One hundred and sixty-six players (83 women and 83 men) were evaluated. They belonged to eight teams in the Spanish women's superleague and eight in the Spanish men's superleague. The use of Vrn allows avoiding possible sample imbalances due to anatomical and functional differences and demands. We found differences between Vrn in each of the muscles responsible for extension (VM, RF, and VL) and flexion (BF) regardless of the sex. Normalized response speed differences seem to be larger in setters, liberos and outside players compared to middle blockers and larger in males when compared to females. These results of Vrn might respond to the differences in the physical and technical demands of each specific position, showing an improved balance response of the knee extensor and flexor musculature in male professional volleyball players.

Confiabilidade Metrológica: o caso da análise de DQO em um laboratório acadêmico.

Desde 2004, o CONAMA (Conselho Nacional de Meio Ambiente), através de sua Resolução n 344, vem exigindo que as análises físicas, químicas e biológicas em matrizes ambientais sejam realizadas em laboratórios ambientais que possuam sua competência técnica reconhecida formalmente através da acreditação concedida pelo Inmetro. Assim, algumas Unidades Federativas vem adotando o mesmo critério para cadastramento de laboratórios em seus bancos de dados. Com isso, houve um crescimento no número de acreditações: em 2002 haviam 12 laboratórios acreditados e em 2012 foram concedidas 198 acreditações a laboratórios ambientais. A adoção da ABNT NBR ISO/IEC 17025 como padrão de trabalho, além de atender as legislações vigentes, possui as seguintes vantagens: satisfação do cliente, credibilidade e melhoria contínua do laboratório, melhoria da capacitação profissional e a conquista de um mercado mais amplo. Buscando adequar-se a essa realidade, apesar de todas as dificuldades inerentes ao processo de implementação dos requisitos da ABNT NBR ISO/IEC 17025 em laboratórios universitários e de pesquisa, o Laboratório de Engenharia Sanitária (LES/DESMA) priorizou a adequação da determinação da demanda química de oxigênio (DQO) aos requisitos técnicos da ABNT NBR ISO/IEC 17025:2005, por ser um parâmetro indicador global de matéria orgânica em águas residuárias e superficiais e ser amplamente utilizado no monitoramento de estações de tratamento de efluentes líquidos e pelo fato deste poder ser determinado por duas técnicas analíticas distintas: espectrofotometria e colorimetria. Em razão deste cenário, o objetivo deste trabalho foi avaliar o desempenho dos métodos 5220 B e 5220 D descritos pelo Standard Methods, através dos parâmetros de validação de métodos analíticos. Ambos os métodos mostraram-se adequados ao uso a que se destinam e o limite de quantificação determinado apresentou-se compatível com o praticado com os laboratórios acreditados. As incertezas foram calculadas de forma a quantificar a qualidade do resultado.

Efficient registration of nonrigid 3-D bodies

We present a novel method to perform an accurate registration of 3-D nonrigid bodies by using phase-shift properties of the dual-tree complex wavelet transform (DT-CWT). Since the phases of DT-\BBCWT coefficients change approximately linearly with the amount of feature displacement in the spatial domain, motion can be estimated using the phase information from these coefficients. The motion estimation is performed iteratively: first by using coarser level complex coefficients to determine large motion components and then by employing finer level coefficients to refine the motion field. We use a parametric affine model to describe the motion, where the affine parameters are found locally by substituting into an optical flow model and by solving the resulting overdetermined set of equations. From the estimated affine parameters, the motion field between the sensed and the reference data sets can be generated, and the sensed data set then can be shifted and interpolated spatially to align with the reference data set. © 2011 IEEE.

Live 3D shape reconstruction, recognition and registration

We present a video-based system which interactively captures the geometry of a 3D object in the form of a point cloud, then recognizes and registers known objects in this point cloud in a matter of seconds (fig. 1). In order to achieve interactive speed, we exploit both efficient inference algorithms and parallel computation, often on a GPU. The system can be broken down into two distinct phases: geometry capture, and object inference. We now discuss these in further detail. © 2011 IEEE.

A new distance for scale-invariant 3D shape recognition and registration

This paper presents a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transforms for the first time. We introduce a new distance between poses in this spacethe SRT distance. It is left-invariant, unlike Euclidean distance, and has a unique, closed-form mean, in contrast to Riemannian distance, so is fast to compute. We demonstrate improved performance over the state of the art in both recognition and registration on a real and challenging dataset, by comparing our distance with others in a mean shift framework, as well as with the commonly used Hough voting approach. © 2011 IEEE.

Scale-invariant vote-based 3D recognition and registration from point clouds

This chapter presents a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transformations for the first time. We introduce a new distance between poses in this spacethe SRT distance. It is left-invariant, unlike Euclidean distance, and has a unique, closed-form mean, in contrast to Riemannian distance, so is fast to compute. We demonstrate improved performance over the state of the art in both recognition and registration on a (real and) challenging dataset, by comparing our distance with others in a mean shift framework, as well as with the commonly used Hough voting approach. © 2013 Springer-Verlag Berlin Heidelberg.