A brazilian ergonomic human-robot interface case

Brazilian and foreign companies operating in Brazil in the last 30 years have been using automated productive resources, especially robots. These 3 decades doesńt seem to have been enough to develop in the actors involved with robots an adequate professional awareness. If we consider the predictive security and ergonomic aspects involved, we notice that there are critical failures on handling these situations. So in this study we tried to observe the presence of the human being in some workstations that operate with robots in the Brazilian Southeastern region. © (2013) Trans Tech Publications, Switzerland.

Desenvolvimento de um sistema computacional para monitoramento de parâmetros físicos na área de irrigação, com base na plataforma labVIEW

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Blog diários: reflexões sobre a identidade indígena na virtualidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aspectos ergonômicos em colhedoras de cana-de-açúcar: ruído, distribuição dos comandos e avaliação ponderada de conforto

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Deep learning architecture for gesture recognition

Pós-graduação em Engenharia Mecânica - FEG

Avaliação da usabilidade de representações cartográficas em diferentes escalas para sistema de navegação e guia de rota em automóvel

Pós-graduação em Ciências Cartográficas - FCT

Realidade misturada: conceitos, ferramentas e aplicações

The Mixed Reality proposes scenes combining between virtual and real worlds offering to the user an intuitive way of interaction according to a specific application. This tutorial paper aims at presenting the fundamentals concepts of this emergent kind of human-computer interface.

A linguagem do videogame como ferramenta auxiliar no processo de ensino e aprendizado

Thisarticlediscussesissuesrelatedtothedesignlang uagewith a focusonteachingandlearningthroughthe useofgamesas a tool touncoverthe world. The gamesare abletosystematizethelanguagesothatyoucanlearnbyplayingthi swayandmakingthe interfacemore playful, more accessibleandlike us. Playing as apusherelementof newpossibilitiesandgamesare emergingas aplayfulargumentfor teachingin theman-machine interface.

A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data

Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules elicits phenotypic effects, requires experimental approaches that are time-consuming and laborious. Thus, a computational approach which could accurately predict such genes on a genome-wide scale would be invaluable for accelerating the pace of discovery of causal relationships between genes and diseases as well as the determination of druggability of gene products.Results: In this paper we propose a machine learning-based computational approach to predict morbid and druggable genes on a genome-wide scale. For this purpose, we constructed a decision tree-based meta-classifier and trained it on datasets containing, for each morbid and druggable gene, network topological features, tissue expression profile and subcellular localization data as learning attributes. This meta-classifier correctly recovered 65% of known morbid genes with a precision of 66% and correctly recovered 78% of known druggable genes with a precision of 75%. It was than used to assign morbidity and druggability scores to genes not known to be morbid and druggable and we showed a good match between these scores and literature data. Finally, we generated decision trees by training the J48 algorithm on the morbidity and druggability datasets to discover cellular rules for morbidity and druggability and, among the rules, we found that the number of regulating transcription factors and plasma membrane localization are the most important factors to morbidity and druggability, respectively.Conclusions: We were able to demonstrate that network topological features along with tissue expression profile and subcellular localization can reliably predict human morbid and druggable genes on a genome-wide scale. Moreover, by constructing decision trees based on these data, we could discover cellular rules governing morbidity and druggability.

Análise da interface adesiva entre cimentos resinosos e diferentes terços da dentina intrarradicular

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Determination of anticonvulsants in human plasma using SPME in a heated interface coupled online to liquid chromatography (SPME-LC)

A simple and sensitive method using solid phase microextraction (SPME) and liquid chromatography (LC) with heated online desorption (SPME-LC) was developed and validated to analyze anticonvulsants (AEDs) in human plasma samples. A heated lab-made interface chamber was used in the desorption procedure, which allowed the transference of the whole extracted sample. The SPME conditions were optimized by applying an experimental design. Important factors are discussed such as fiber coating types, pH, extraction time and desorption conditions. The drugs were analyzed by LC, using a C18 column (150 mm 4.6 mm 5 mm); and 50 mmol L1 , pH ¼ 5.50 ammonium acetate buffer : acetonitrile : methanol (55 : 22 : 23 v/v) as the mobile phase with a flow rate of 0.8 mL min1 . The suggested method presented precision (intra-assay and inter-assay), linearity and limit of quantification (LOQ) all adequate for the therapeutic drug monitoring (TDM) of AEDs in plasma.

Análise da interface adesiva entre pinos de fibra de vidro e dentina intrarradicular submetida à irrigação com diferentes agentes condicionantes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Effect of Conventional and Resin-modified Glass-Ionomer Liner on Dentin Adhesive Interface of Class I Cavity Walls After Thermocycling

Objective: The aim of this in vitro study was to analyze the effect of glass-ionomer cement as a liner on the dentin/resin adhesive interface of lateral walls of occlusal restorations after thermocycling.Materials and Methods: Occlusal cavities were prepared in 60 human molars, divided into six groups: no liner (1 and 4); glass-ionomer cement (GIC, Ketac Molar Easymix, 3M ESPE) (2 and 5); and resin-modified glass-ionomer cement (RMGIC, Vitrebond, 3M ESPE) (3 and 6). Resin composite (Filtek Z250, 3M ESPE) was placed after application of an adhesive system (Adper Single Bond 2, 3M ESPE) that was mixed with a fluorescent reagent (Rhodamine B) to allow confocal microscopy analysis. Specimens of groups 4, 5 and 6 were thermocycled (5 degrees C-55 degrees C) with a dwell time of 30 seconds for 5000 cycles. After this period, teeth were sectioned in approximately 0.8-mm slices. One slice of each tooth was randomly selected for confocal microscopy analysis. The other slices were sectioned into 0.8 nun x 0.8 mm beams, which were submitted to microtensile testing (MPa). Data were analyzed using two-way ANOVA and Tukey test (p < 0.05).Results: There was no detectedstatistical difference on bond strength among groups (alpha < 0.05). Confocal microscopy analysis showed a higher mean gap size in group 4(12.5 mu m) and a higher percentage of marginal gaps in the thermocycled groups. The RNIGIC liner groups showed the lowest percentage of marginal gaps.Conclusions: Lining with RMGIC resulted in less gap formation at the dentin/resin adhesive interface after artificial aging. RMGIC or GIC liners did not alter the microtensile bond strength of adhesive system/resin composite to dentin on the lateral walls of Class I restorations.

HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)