Response of human pulps to different in-office bleaching techniques: preliminary findings

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O American Israel Public Affairs Office Committee (AIPAC) e sua influência na política externa dos Estados Unidos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Biosecurity in public and private office

Biosecurity is currently a concern for all health-related services, including dentistry, since infection control has a relevant importance. In dental practice, health-related occupations have contact with a great number of individuals who are potentially capable to transmit pathogens. This study comprised a descriptive evaluation of the universal precaution measures for infection control adopted by dental practitioners working at public and private offices in the city of Araçatuba, SP. Data collection was performed by a quiz with questions about individual and collective protection equipments. The results showed that the use of caps was reported by 55% of the professionals working at the public sector and 90% for the private sector. The use of masks and gloves was reported by all professionals surveyed; nevertheless, glove change between patients was not reported by 40% of professionals working at the public sector. There were more flaws in public offices as to the use of protective barriers, since except for the use of gloves, gowns and masks, the frequency of use of those barriers was smaller than at private offices.

A support system that delineates location-choice sets for firms seeking office space

Factors influencing the location decisions of offices include traffic, accessibility, employment conditions, economic prospects and land-use policies. Hence tools for supporting real-estate managers and urban planners in such multidimensional decisions may be useful. Accordingly, the objective of this study is to develop a GIS-based tool to support firms who seek office accommodation within a given regional or national study area. The tool relies on a matching approach, in which a firm's characteristics (demand) on the one hand, and environmental conditions and available office spaces (supply) on the other, are analyzed separately in a first step, after which a match is sought. That is, a suitability score is obtained for every firm and for every available office space by applying some value judgments (satisfaction, utility etc.). The latter are powered by a focus on location aspects and expert knowledge about the location decisions of firms/organizations with respect to office accommodation as acquired from a group of real-estate advisers; it is stored in decision tables, and they constitute the core of the model. Apart from the delineation of choice sets for any firm seeking a location, the tool supports two additional types of queries. Firstly, it supports the more generic problem of optimally allocating firms to a set of vacant locations. Secondly, the tool allows users to find firms which meet the characteristics of any given location. Moreover, as a GIS-based tool, its results can be visualized using GIS features which, in turn, facilitate several types of analyses.

Avaliação de desenpenho do método 3DLBP utilizando mapas de profundidade gerados pelo Microsoft Kinect

Problemas com pose e iluminação são desafios complexos para o reconhecimento de faces 2D. Devido a estes problemas vários métodos para reconhecimento de faces 3D têm sido propostos, principalmente pelo fato que os dados em 3D são mais resistentes a iluminação e são úteis para correção de pose. O maior problema com a utilização de métodos 3D é o custo elevado dos scanners 3D tradicionais. Uma alternativa é a utilização do Microsoft Kinect que, além de ser consideravelmente mais barato, é capaz de capturar os dados de profundidade com precisão necessária para discriminar sujeitos. O principal objetivo do presente trabalho é avaliar a performance do método 3DLBP para o reconhecimento de faces quando utilizando os mapas de profundidade gerados pelo Kinect. Outro objetivo é investigar quais regiões da face que desempenham melhor no reconhecimento de face.