Repercussões do envelhecimento no funcionamento visual: uma meta-análise

Introdução: Em Portugal a proporção de pessoas com 65 anos ou mais duplicou nos últimos 45 anos, provocando um aumento anual do índice de envelhecimento. O declínio da função visual com o envelhecimento, é fonte de grande preocupação. Pelo menos 1 a 2% da população mundial sofre de acentuadas baixas de visão e estima-se que 20 a 50% dos indivíduos, acima dos 65 anos, tem alguma diminuição visual. O objectivo deste estudo é descrever as repercussões do envelhecimento no funcionamento visual em indivíduos com idade igual ou superior a 65 anos. Metodologia: este estudo de tipo meta-análise considerou uma amostra de 93 artigos sujeitos a leitura seletiva. Os artigos incluídos foram selecionados com base nos seguintes critérios de inclusão: conter referência a implicações do envelhecimento na visão e funcionamento visual de idosos binocularmente; conter referência a pelo menos uma das funções visuais em estudo (acuidade visual, sensibilidade ao contraste e campo visual, com e sem factor atencional). Como critérios de exclusão foram estabelecidos a referência a patologia específica e em que estivesse definida a existência de deficiência visual. Foram seleccionados 18 artigos. Resultados: existe uma relação entre o envelhecimento e a diminuição das funções visuais em estudo. Existe também uma relação entre a diminuição das funções visuais: e uma redução do desempenho em tarefas do quotidiano como a leitura e a condução; e quedas, colisões, erros de orientação e velocidade da caminhada. Conclusão: O envelhecimento tem repercussões ao nível do funcionamento visual. Todas as funções visuais analisadas se encontram diminuídas com o envelhecimento. Esta diminuição varia consoante as condições de teste e do próprio teste utilizado, assim como a amostragem em causa.

Characterization of airborne particles generated from metal active gas welding process

This study is focused on the characterization of particles emitted in the metal active gas welding of carbon steel using mixture of Ar + CO2, and intends to analyze which are the main process parameters that influence the emission itself. It was found that the amount of emitted particles (measured by particle number and alveolar deposited surface area) are clearly dependent on the distance to the welding front and also on the main welding parameters, namely the current intensity and heat input in the welding process. The emission of airborne fine particles seems to increase with the current intensity as fume-formation rate does. When comparing the tested gas mixtures, higher emissions are observed for more oxidant mixtures, that is, mixtures with higher CO2 content, which result in higher arc stability. These mixtures originate higher concentrations of fine particles (as measured by number of particles by cm 3 of air) and higher values of alveolar deposited surface area of particles, thus resulting in a more severe worker's exposure.

In situ NIR spectroscopy monitoring of plasmid production processes effect of producing strain, medium composition and the cultivation strategy

BACKGROUNDWhile the pharmaceutical industry keeps an eye on plasmid DNA production for new generation gene therapies, real-time monitoring techniques for plasmid bioproduction are as yet unavailable. This work shows the possibility of in situ monitoring of plasmid production in Escherichia coli cultures using a near infrared (NIR) fiber optic probe. RESULTSPartial least squares (PLS) regression models based on the NIR spectra were developed for predicting bioprocess critical variables such as the concentrations of biomass, plasmid, carbon sources (glucose and glycerol) and acetate. In order to achieve robust models able to predict the performance of plasmid production processes, independently of the composition of the cultivation medium, cultivation strategy (batch versus fed-batch) and E. coli strain used, three strategies were adopted, using: (i) E. coliDH5 cultures conducted under different media compositions and culture strategies (batch and fed-batch); (ii) engineered E. coli strains, MG1655endArecApgi and MG1655endArecA, grown on the same medium and culture strategy; (iii) diverse E. coli strains, over batch and fed-batch cultivations and using different media compositions. PLS models showed high accuracy for predicting all variables in the three groups of cultures. CONCLUSIONNIR spectroscopy combined with PLS modeling provides a fast, inexpensive and contamination-free technique to accurately monitoring plasmid bioprocesses in real time, independently of the medium composition, cultivation strategy and the E. coli strain used.

Exploiting the bin-class histograms for feature selection on discrete data

In machine learning and pattern recognition tasks, the use of feature discretization techniques may have several advantages. The discretized features may hold enough information for the learning task at hand, while ignoring minor fluctuations that are irrelevant or harmful for that task. The discretized features have more compact representations that may yield both better accuracy and lower training time, as compared to the use of the original features. However, in many cases, mainly with medium and high-dimensional data, the large number of features usually implies that there is some redundancy among them. Thus, we may further apply feature selection (FS) techniques on the discrete data, keeping the most relevant features, while discarding the irrelevant and redundant ones. In this paper, we propose relevance and redundancy criteria for supervised feature selection techniques on discrete data. These criteria are applied to the bin-class histograms of the discrete features. The experimental results, on public benchmark data, show that the proposed criteria can achieve better accuracy than widely used relevance and redundancy criteria, such as mutual information and the Fisher ratio.