4,358 research outputs found

    Bernardino Ramazzini, three hundred years after his death, Padua (Italy), October 18th, 2014

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    open2noThe year 2014 has marked the tercentenary from the death of Bernardino Ramazzini (1633-1714), universally credited as the founder of Occupational Health (5, 9, 10, 11). Indeed, the renowned physician died on November 5th 1714 in Padua, where he had been appointed as Professor of Practical Medicine at the local prestigious University from the year 1700. To commemorate this anniversary, the professors of Occupational Health of the University of Padua, the Italian Society of Occupational Health and Industrial Hygiene (Società Italiana di Medicina del Lavoro eIgiene Industriale, SIMLII), the International Commission on Occupational Health (ICOH) and the University of Padua organized a conference in the wonderful location of Palazzo Bo (Main Hall) under the patronage of the Padua Municipality, the Workers' Compensation Authority (INAIL), the Venetian Region and the Societas Internationalis Historiae MedicinaopenRiva, Michele Augusto; Zampieri, FabioRiva, Michele Augusto; Zampieri, Fabi

    A comprehensive analysis of the geometry of TDOA maps in localisation problems

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    In this manuscript we consider the well-established problem of TDOA-based source localization and propose a comprehensive analysis of its solutions for arbitrary sensor measurements and placements. More specifically, we define the TDOA map from the physical space of source locations to the space of range measurements (TDOAs), in the specific case of three receivers in 2D space. We then study the identifiability of the model, giving a complete analytical characterization of the image of this map and its invertibility. This analysis has been conducted in a completely mathematical fashion, using many different tools which make it valid for every sensor configuration. These results are the first step towards the solution of more general problems involving, for example, a larger number of sensors, uncertainty in their placement, or lack of synchronization.Comment: 51 pages (3 appendices of 12 pages), 12 figure

    Histopathological and immunohistochemical study of salivary gland tumors

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    Orientador : Marcio Ajudarte LopesTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Odontologia de PiracicabaResumo: Al√©m de incomuns, os tumores de gl√Ęndulas salivares despertam interesses por apresentarem uma grande diversidade histol√≥gica, morfol√≥gica e de comportamento biol√≥gico. Nas √ļltimas d√©cadas v√°rios estudos t√™m mostrado que tais diversidades est√£o relacionadas ao ac√ļmulo de altera√ß√Ķes gen√©ticas. As investiga√ß√Ķes de tais altera√ß√Ķes s√£o importantes para entender os mecanismos de oncog√™nese, avaliar o comportamento biol√≥gico e conseq√ľentemente aperfei√ßoar terap√™uticas favorecendo o progn√≥stico. O objetivo deste estudo foi analisar as caracter√≠sticas histopatol√≥gicas e imunohistoqu√≠micas dos quatro tumores de gl√Ęndulas salivares mais freq√ľentes: adenoma pleom√≥rfico, carcinoma mucoepiderm√≥ide, tumor de Warthin e carcinoma aden√≥ide c√≠stico. Para isso foi realizada an√°lise histol√≥gica do componente epitelial e mesenquimal dos adenomas pleom√≥rficos, classifica√ß√£o histol√≥gica dos tumores de Warthin, carcinomas mucoepiderm√≥ides e carcinomas aden√≥ide c√≠stico e estudo imunohistoqu√≠mico para Ki-67, EGF, EGFR, ErbB-2, FAS, receptor de andr√≥geno, receptor de estr√≥geno e receptor de progesterona. Dos 189 casos de adenoma pleom√≥rfico selecionados para o estudo histopatol√≥gico, 99 (52,4%) foram classificados como estroma-rico, 69 (36,5%) como celular e 21 (11,1%) como cl√°ssico. Dos 30 casos de tumor de Warthin, 17 casos (56,7%) foram classificados como t√≠picos, 10 (33,3%) como estroma pobre e 3 (10%) como estroma-rico. Dos 30 casos de carcinoma mucoepiderm√≥ide, 15 casos (50%) foram classificados histologicamente como de baixo grau, 3 (10%) como grau intermedi√°rio e 12 (40%) como de alto grau. Dos 30 casos de carcinoma aden√≥ide c√≠stico, 15 casos (50%) foram classificados como cribriforme, 8 (26,7%) como tubular e 7 (23,3%) como s√≥lido. Ki-67, EGFR e ErbB-2 foram mais freq√ľentemente encontrados em carcinomas mucoepiderm√≥ides, principalmente em tumores de alto grau de malignidade. EGF e FAZ foram encontrados mais freq√ľentemente em adenomas pleom√≥rficos e carcinomas mucoepiderm√≥ides. Todos os casos estudados foram negativos para receptor de estr√≥geno e receptor de progesterona. Receptor de andr√≥geno foi positivo em apenas 2 casos de adenoma pleom√≥rfico, 2 de carcinoma mucoepiderm√≥ide e 2 de carcinoma aden√≥ide c√≠stico. Concluindo, EGFR, ErbB-2 e FAS parecem desempenhar papel na tumorig√™nese de tumores de gl√Ęndulas salivares, especialmente em carcinomas mucoepiderm√≥ides, e devem ser mais extensivamente estudados; receptor de estr√≥geno e receptor de progesterona n√£o desempenham papel na tumorig√™nese de adenomas pleom√≥rficos, tumores de Warthin, carcinomas mucoepiderm√≥ides e carcinomas aden√≥ide c√≠stico; e apesar de poucos casos positivos em tumores de gl√Ęndulas salivares, receptor de andr√≥geno deve ser melhor estudado e considerado como potencial alvo em tratamentos com drogas anti-andr√≥genosAbstract: Beyond uncommon, salivary gland tumors are interesting because their great diversity of histological, morphological and biological behavior. In the last decades some studies have shown that such diversities are related to the accumulation of genetic alterations. The investigation of such alterations are important to understand the mechanisms of oncogenesis, to evaluate the biological behavior and consequently to improve therapeutics favoring the prognosis. The aim of this study was to analyze the histopathological and immunohistochemical characteristics of the four more frequent salivary gland tumors: pleomorphic adenoma, mucoepiderm√≥ide carcinoma, Warthin¬Ņs tumor and adenoid cystic carcinoma. For this, it was realized the histological analysis of the epithelial and mesenchymal components of pleomorphic adenomas, histological classification of Warthin¬Ņs tumors, mucoepidermoid carcinomas and adenoid cystic carcinoma and immunohistochemical study for Ki-67, EGF, EGFR, ErbB-2, FAS, androgen receptor, estrogen receptor and progesterone receptor. Of the 189 cases of pleomorphic adenoma selected for the histopathological study, 99 (52.4%) were classified as stroma-rich, 69 (36.5%) as cellular and 21 (11.1%) as classic. Of the 30 cases of Warthin¬Ņs tumor, 17 cases (56.7%) were classified as typical, 10 (33.3%) as stroma-poor and 3 (10%) as stroma-rich. Of the 30 cases of mucoepidermoid carcinoma, 15 cases (50%) were classified as low grade, 3 (10%) as intermediate grade and 12 (40%) as high grade. Of the 30 cases of adenoid cystic carcinoma, 15 cases (50%) were classified as cribriform, 8 (26.7%) as tubular and 7 (23.3%) as solid. Ki-67, EGFR and ErbB-2 were more frequently found in mucoepidermoid carcinomas, particularly in high grade tumors. EGF and FAS were more frequently found in pleomorphic adenomas and mucoepidermoid carcinomas. All studied cases were negative for estrogen receptor and progesterone receptor. Androgen receptor was positive in only 2 cases of pleomorphic adenoma, 2 of mucoepidermoid carcinoma and 2 of adenoid cystic carcinoma. In conclusion, EGFR, ErbB-2 and FAS seem to play a role in the tumorigenesis of salivary gland tumors, especially in MEC, and they should be more extensively studied; estrogen receptor and progesterone receptor do not play a role in the tumorigenesis of pleomorphic adenomas, Warthin¬Ņs tumors, mucoepidermoid carcinomas and adenoid cystic carcinomas; and regardless of few positive cases in salivary gland tumors, androgen receptor should be better studied and considered as potential targets for treatment with anti-androgens drugsDoutoradoPatologiaDoutor em Estomatopatologi

    Development of thin surface virtual sensors for predictive maintenance

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    Mestrado de dupla diploma√ß√£o com a UTFPR, Universidade Tecnol√≥gica Federal do Paran√°In the field of manufacturing, metal stamping and plastic injection are some essential procedures, such that companies in this sector need to optimize these processes to gain a competitive advantage. In this sense, this work is part of the On-Surf project, which aims to develop surface modification processes, which promote advanced solutions within the transformation industry through surface engineering techniques. This work proposes the study of techniques based on virtual sensors, to monitor the temperature of a plastic injection mold in real time. The method makes use of Computer Aided Engineering (CAE) software to model the injection system, mathematical software to adjust the process equations, and an algorithm developed in Python that calculates the value of the soft sensors from the input of one or multiple physical sensors. The work makes use of case studies of simple metallic surfaces to define the thermal behavior and associate it with a correlation factor. Then apply the techniques developed in the geometry of an injection mold. Through the use of soft sensors, it is possible to obtain more temperature points about the mold. Such information is extremely important for the predictive maintenance (PdM) of the machine, since it aims to facilitate the operational parameters decision making, reducing the probability of failures, both in the manufactured parts and in the physical sensors themselves, because the technique guarantees the monitoring of the values in real time.Na √°rea de manufatura, estampagem e inje√ß√£o de pl√°stico s√£o alguns procedimentos essenciais, de forma que as empresas do setor precisam otimizar esses processos para ganhar vantagem competitiva. Neste sentido, este trabalho √© parte do projeto On-Surf, que visa desenvolver solu√ß√Ķes avan√ßadas dentro da ind√ļstria de transforma√ß√£o atrav√©s de t√©cnicas de engenharia de superf√≠cies. Este trabalho prop√Ķe o desenvolvimento de sensores virtuais, para monitorar a tem- peratura de um molde de inje√ß√£o de pl√°stico em tempo real. O m√©todo utiliza um software de Engenharia Assistida por Computador (CAE) para modelar o sistema de inje√ß√£o, um software matem√°tico para ajustar as equa√ß√Ķes do processo e um algoritmo desenvolvido em Python que infere o valor dos sensores virtuais a partir da entrada de um ou v√°rios sensores f√≠sicos. O trabalho faz uso de estudos de caso de superf√≠cies met√°licas simples para definir o comportamento termico e associar a um fator de correla√ß√£o. A seguir aplicam-se essas t√©cnicas desenvolvidas na geometria de um molde de inje√ß√£o. Com o uso de sensores virtuais, ser√° poss√≠vel obter mais pontos de temperatura sobre o molde. Tais informa√ß√Ķes s√£o extremamente importantes para a manuten√ß√£o preditiva (PdM) da m√°quina, pois facilita a tomada de decis√£o dos par√Ęmetros operacionais, re- duzindo a probabilidade de falhas, tanto nas pe√ßas fabricadas quanto nos pr√≥prios sensores f√≠sicos, devido o monitoramento dos valores em tempo real

    The algebro-geometric study of range maps

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    Localizing a radiant source is a widespread problem to many scientific and technological research areas. E.g. localization based on range measurements stays at the core of technologies like radar, sonar and wireless sensors networks. In this manuscript we study in depth the model for source localization based on range measurements obtained from the source signal, from the point of view of algebraic geometry. In the case of three receivers, we find unexpected connections between this problem and the geometry of Kummer's and Cayley's surfaces. Our work gives new insights also on the localization based on range differences.Comment: 38 pages, 18 figure

    Um arcabouço para seleção e fusão de classificadores de padrão

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    Orientadores: Ricardo da Silva Torres, Anderson RochaTese (doutorado) - Universidade Estadual de Campinas, Instituto de Computa√ß√£oResumo: O crescente aumento de dados visuais, seja pelo uso de in√ļmeras c√Ęmeras de v√≠deo monitoramento dispon√≠veis ou pela populariza√ß√£o de dispositivos m√≥veis que permitem pessoas criar, editar e compartilhar suas pr√≥prias imagens/v√≠deos, tem contribu√≠do enormemente para a chamada ''big data revolution". Esta grande quantidade de dados visuais d√° origem a uma caixa de Pandora de novos problemas de classifica√ß√£o visuais nunca antes imaginados. Tarefas de classifica√ß√£o de imagens e v√≠deos foram inseridos em diferentes e complexas aplica√ß√Ķes e o uso de solu√ß√Ķes baseadas em aprendizagem de m√°quina tornou-se mais popular para diversas aplica√ß√Ķes. Entretanto, por outro lado, n√£o existe uma ''bala de prata" que resolva todos os problemas, ou seja, n√£o √© poss√≠vel caracterizar todas as imagens de diferentes dom√≠nios com o mesmo m√©todo de descri√ß√£o e nem utilizar o mesmo m√©todo de aprendizagem para alcan√ßar bons resultados em qualquer tipo de aplica√ß√£o. Nesta tese, propomos um arcabou√ßo para sele√ß√£o e fus√£o de classificadores. Nosso m√©todo busca combinar m√©todos de caracteriza√ß√£o de imagem e aprendizagem por meio de uma abordagem meta-aprendizagem que avalia quais m√©todos contribuem melhor para solu√ß√£o de um determinado problema. O arcabou√ßo utiliza tr√™s diferentes estrat√©gias de sele√ß√£o de classificadores para apontar o menos correlacionados e eficazes, por meio de an√°lises de medidas de diversidade. Os experimentos mostram que as abordagens propostas produzem resultados compar√°veis aos famosos m√©todos da literatura para diferentes aplica√ß√Ķes, utilizando menos classificadores e n√£o sofrendo com problemas que afetam outras t√©cnicas como a maldi√ß√£o da dimensionalidade e normaliza√ß√£o. Al√©m disso, a nossa abordagem √© capaz de alcan√ßar resultados eficazes de classifica√ß√£o usando conjuntos de treinamento muito reduzidosAbstract: The frequent growth of visual data, either by countless available monitoring video cameras or the popularization of mobile devices that allow each person to create, edit, and share their own images and videos have contributed enormously to the so called ''big-data revolution''. This shear amount of visual data gives rise to a Pandora box of new visual classification problems never imagined before. Image and video classification tasks have been inserted in different and complex applications and the use of machine learning-based solutions has become the most popular approach to several applications. Notwithstanding, there is no silver bullet that solves all the problems, i.e., it is not possible to characterize all images of different domains with the same description method nor is it possible to use the same learning method to achieve good results in any kind of application. In this thesis, we aim at proposing a framework for classifier selection and fusion. Our method seeks to combine image characterization and learning methods by means of a meta-learning approach responsible for assessing which methods contribute more towards the solution of a given problem. The framework uses three different strategies of classifier selection which pinpoints the less correlated, yet effective, classifiers through a series of diversity measure analysis. The experiments show that the proposed approaches yield comparable results to well-known algorithms from the literature on many different applications but using less learning and description methods as well as not incurring in the curse of dimensionality and normalization problems common to some fusion techniques. Furthermore, our approach is able to achieve effective classification results using very reduced training setsDoutoradoCi√™ncia da Computa√ß√£oDoutor em Ci√™ncia da Computa√ß√£

    Source localization and denoising: a perspective from the TDOA space

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    In this manuscript, we formulate the problem of denoising Time Differences of Arrival (TDOAs) in the TDOA space, i.e. the Euclidean space spanned by TDOA measurements. The method consists of pre-processing the TDOAs with the purpose of reducing the measurement noise. The complete set of TDOAs (i.e., TDOAs computed at all microphone pairs) is known to form a redundant set, which lies on a linear subspace in the TDOA space. Noise, however, prevents TDOAs from lying exactly on this subspace. We therefore show that TDOA denoising can be seen as a projection operation that suppresses the component of the noise that is orthogonal to that linear subspace. We then generalize the projection operator also to the cases where the set of TDOAs is incomplete. We analytically show that this operator improves the localization accuracy, and we further confirm that via simulation.Comment: 25 pages, 9 figure
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