The 12 prophets dataset

The "Ajeijadinho 3D" project is an initiative supported by the University of S\~ao Paulo (Museum of Science and Dean of Culture and Extension), which involves the 3D digitization of art works of Brazilian sculptor Antonio Francisco Lisboa, better known as Aleijadinho. The project made use of advanced acquisition and processing of 3D meshes for preservation and dissemination of the cultural heritage. The dissemination occurs through a Web portal, so that the population has the opportunity to meet the art works in detail using 3D visualization and interaction. The portal address is http://www.aleijadinho3d.icmc.usp.br. The 3D acquisitions were conducted over a week at the end of July 2013 in the cities of Ouro Preto, MG, Brazil and Congonhas do Campo, MG, Brazil. The scanning was done with a special equipment supplied by company Leica Geosystems, which allowed the work to take place at distances between 10 and 30 meters, defining a non-invasive procedure, simplified logistics, and without the need for preparation or isolation of the sites. In Ouro Preto, we digitized the churches of Francisco of Assis, Our Lady of Carmo, and Our Lady of Mercy; in Congonhas do Campo we scanned the entire Sanctuary of Bom Jesus de Matosinhos and his 12 prophets. Once scanned, the art works went through a long process of preparation, which required careful handling of meshes done by experts from the University of S\~ao Paulo in partnership with company Imprimate.Comment: Full dataset online at http://aleijadinho3d.icmc.usp.br/data.htm

Recording from two neurons: second order stimulus reconstruction from spike trains and population coding

We study the reconstruction of visual stimuli from spike trains, recording simultaneously from the two H1 neurons located in the lobula plate of the fly Chrysomya megacephala. The fly views two types of stimuli, corresponding to rotational and translational displacements. If the reconstructed stimulus is to be represented by a Volterra series and correlations between spikes are to be taken into account, first order expansions are insufficient and we have to go to second order, at least. In this case higher order correlation functions have to be manipulated, whose size may become prohibitively large. We therefore develop a Gaussian-like representation for fourth order correlation functions, which works exceedingly well in the case of the fly. The reconstructions using this Gaussian-like representation are very similar to the reconstructions using the experimental correlation functions. The overall contribution to rotational stimulus reconstruction of the second order kernels - measured by a chi-squared averaged over the whole experiment - is only about 8% of the first order contribution. Yet if we introduce an instant-dependent chi-square to measure the contribution of second order kernels at special events, we observe an up to 100% improvement. As may be expected, for translational stimuli the reconstructions are rather poor. The Gaussian-like representation could be a valuable aid in population coding with large number of neurons

On the design of co-extrusion dies for polymeric multilayer products

The authors would like to acknowledge the funding by FEDER funds through the COMPETE 2020 Programme and National Funds through FCT - Portuguese Foundation for Science and Technology under the projects UIDB/05256/2020/UIDP/05256/2020 and TSSiPRO - Technologies for Sustainable and Smart Innovative Products (NORTE-01- 0145-FEDER-000015). The authors also acknowledge the support of the computational clusters Search-ON2 (NORTE-07-0162-FEDER-000086) and Minho Advanced Computing Center (MACC). M.M. Martins would like to thank also the support of the University Centre - Catholic of Santa Catarina (Brazil)

Using computational modelling to improve the insight regarding multi-layer polymer flows in co-extrusion

Polymer multilayer co-extrusion is a manufacturing process wherein two or more polymers feed a common extrusion die to form a layered product, aiming to combine in a synergic way the properties of the individual polymers comprising each layer [1]. The usual manufacturing approach starts by co-extruding two layers which are duplicated in each Interfacial Surface Generator Module (ISGM) employed, see Figure 1. This is achieved by dividing the flow of the two inlet layers (AB) in the division region, deforming and overlapping the two individual streams, which are subsequently joined in the junction region to reach a 4 layer structure (ABAB) [2]. In this way, each ISGM employed allows duplicating the number of layers in the final product.This work is funded by National Funds through FCT - Portuguese Foundation for Science and Technology, Reference UID/CTM/50025/2019. The authors would like also to thank the support of the Search Cluster, Project TSSIPRO - Portugal and University Centre - Catholic of Santa Catarina - Brazil

Using computational modelling to study extensional rheometry tests for inelastic fluids

The present work focuses on the extensional rheometry test, performed with the Sentmanat extensional rheometer (SER) device, and its main objectives are: (i) to establish the modelling requirements, such as the geometry of the computational domain, initial and boundary conditions, appropriate case setup, and (ii) to investigate the effect of self-induced errors, namely on the sample dimensions and test temperature, on the extensional viscosity obtained through the extensional rheometry tests. The definition of the modelling setup also comprised the selection of the appropriate mesh refinement level to model the process and the conclusion that gravity can be neglected without affecting the numerical predictions. The subsequent study allowed us to conclude that the errors on the sample dimensions have similar effects, originating differences on the extensional viscosity proportional to the induced variations. On the other hand, errors of a similar order of magnitude on the test temperature promote a significant difference in the predicted extensional viscosity.This work was funded by FEDER funds through the COMPETE 2020 Program and National Funds through FCT-Portuguese Foundation for Science and Technology under the projects UIDB/05256/2020/, UIDP/05256/2020, CPCA/A2/6202/2020, CPCA_A2_6231_2020, NORTE-08-5369- FSE-000034, under program IMPULSE-Polímeros e Compósitos: Drivers da Inovação Tecnológica e da Competitividade Industrial

Endoparasitos do pacu-manteiga Mylossoma duriventre Cuvier, 1817 (Characidae) do lago Coari, região do Médio Rio Solimões, Estado do Amazonas.

Resumo simples

Crescimento de bananeira "Grande Naine" sob diferentes lâminas de irrigação.

A banana é uma das frutas mais consumidas no mundo, e a sua produção se concentra em países de clima tropical. Apesar de ser um dos maiores produtores mundiais, o Brasil apresenta baixa produtividade média, quando comparado com outros países como Guatemala e Costa Rica (FAO, 2007). O baixo rendimento constatado nas regiões produtoras de banana evidencia a necessidade de ajustes tecnológicos e de manejo da cultura nas diversas áreas do conhecimento. Uma das tecnologias mais relevantes demandadas para esta cultura, diz respeito à irrigação, já que ela é muito sensível ao déficit hídrico e seu potencial produtivo depende de uma apreciável taxa de transpiração e boa uniformidade de distribuição de água durante o seu ciclo produtivo, não sendo fácil encontrar condições ecológicas naturais que satisfaçam todas as suas exigências (FIGUEIREDO, et al. 2006).pdf 180

THE RELATIONSHIPS BETWEEN SPRINT RUN AND STRENGTH PARAMETERS IN YOUNG ATHLETES AND NON-ATHLETES

The aim of this study was to examine the relationships between the sprint run and strength tests, which measure the capability to produce force in isometric, pure concentric and stretch shortening cycle muscular actions. The seventy two subjects were assessed for six tests 60m sprint run, to evaluate the speed, and isometric leg-press, squat jump, countermovement jump, drop jump, and 5 horizontal jumps, to evaluate strength parameters. The 5 jumps, was the most important predictor of the 60m sprint time, maybe because of is cyclic and horizontal characteristics (more similar to the specific movement of sprint run). We suppose that the reason for results do not explain different relationship between tests and sprint performance, in young athletes can be find in multifactorial characteristics of sprinting performance and the characteristics of the subjects, youngest have reduced training adaptation