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Publications

2017

Disinfection of simulated and real winery wastewater using sulphate radicals: Peroxymonosulphate/transition metal/UV-A LED oxidation

Authors
Rodriguez Chueca, J; Moreira, SI; Lucas, MS; Fernandes, JR; Tavares, PB; Sampaio, A; Peres, JA;

Publication
JOURNAL OF CLEANER PRODUCTION

Abstract
The inactivation of four different microorganisms, Escherichia coli, Bacillus mycoides, Staphylococcus aureus and Candida albicans, inoculated in simulated (SWW) and real winery wastewaters (RWW), was assessed by the first time using free sulphate and hydroxyl radicals from photolytic (UV-A LED radiation; 370 nm) and metal [Fe(II) or Co(II)] activation of peroxymonosulphate (PMS). The experimental conditions tested were [PMS] = 0.1 mM and [Fe(II) or Co(II)] = 0.1 mM and pH 5.0 for the inactivation of microorganisms in SWW. However, due to the complexity of the water matrix, not unexpectedly, a fivefold concentration of reagents was required to inactivate the same organisms in RWW. In addition, compared to the bacteria, the fungus C. albicans presented a higher oxidative stress resistance to the treatments, and different experimental conditions were necessary to inactivate these cells. After 90 min, the photolytic activation of PMS through UV-A LED radiation achieved complete inactivation of E. coli, followed by S. aureus (approximate to 4 log) and B. mycoides (approximate to 3 log). Total inactivation of C. albicans was also achieved, but with higher dosages of PMS (10 mM). The metal activation of PMS through the use of a transition metal [Fe(II) or Co(II)] accelerated the inactivation rate, particularly in the first minutes of exposure time. These treatments reached between 1 and 3 log inactivation of microorganisms in the first minute of the experiment. In addition, the use of Co(II) as promoter in the activation of PMS, was more effective in the inactivation of S. aureus and C. albicans than activation with Fe(II). Since linear mathematical models do not adjust satisfactorily to inactivation results in all cases, different mathematical models were tested to fit the experimental inactivation data. In general, the Hom model correctly fits the inactivation results of the four microorganisms in all applied treatments. However, other models such as Biphasic and Double Weibull fit acceptably as well.

2017

Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings

Authors
Oliveira, EC; Gama, J; Vale, ZA; Cardoso, HL;

Publication
EPIA

Abstract

2017

Comparative study of the optical properties of colon mucosa and colon precancerous polyps between 400 and 1000 nm

Authors
Carvalho, S; Gueiral, N; Nogueira, E; Henrique, R; Oliveira, L; Tuchin, VV;

Publication
DYNAMICS AND FLUCTUATIONS IN BIOMEDICAL PHOTONICS XIV

Abstract
Optical properties of biological tissues are unique and may be used for tissue identification, tissue discrimination or even to identify pathologies. Early stage colorectal cancer evolves from adenomatous polyps that arise in the inner layer of the colorectal tube - the mucosa. The identification of different optical properties between healthy and pathological colorectal tissues might be used to identify different tissue components and to develop an early stage diagnosis method using optical technologies. Since most of the biomedical optics techniques use light within the visible and near infrared wavelength ranges, we used the inverse adding-doubling method to make a fast estimation of the optical properties of colorectal mucosa and early stage adenocarcinoma between 400 and 1000 nm. The estimated wavelength dependencies have provided information about higher lipid content in healthy mucosa and higher blood content in pathological tissue. Such data has also indicated that the wavelength dependence of the scattering coefficient for healthy mucosa is dominated by Rayleigh scattering and for pathological mucosa it is dominated by Mie scattering. Such difference indicates smaller scatterer size in healthy mucosa tissue. Such information can now be used to develop new diagnosis or treatment methods for early cancer detection or removal. One possibility is to use optical clearing technique to improve tissue transparency and create localized and temporary tissue dehydration for image contrast improvement during diagnosis or polyp laser removal. Such techniques can now be developed based on the different results that we have found for healthy and pathological colorectal mucosa.

2017

AppVox: An Application to Assist People with Speech Impairments in Their Speech Therapy Sessions

Authors
Goncalves, C; Rocha, T; Reis, A; Barroso, J;

Publication
RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2

Abstract
In this study an application to assist people with speech impairments in their speech therapy sessions is presented. AppVox simulates a vocalizer (audio stimulus feature) that can be used to train speech by repeating different words. In this paper, we aim at presenting the application as an assistive technology option and assess if this is a usable option for digital interaction for children with speech impairment. To assess the application we present a case study in which the participants were asked to perform tasks using the AppVox application. The results showed that this group of participants attained a good performance when interacting with the application.

2017

Is innovation interest cyclical?

Authors
Pinto Ferreira, JJ; Mention, AL; Torkkeli, M;

Publication
Journal of Innovation Management

Abstract
In the last issue of 2015, the editorial was titled “Winter is coming: The dawn of Innovation?“ As almost 2 years have gone by, this topic was revisited. So why not wonder how innovation was going around this same time of the year? In trying to answer this question, a visit to Google© Trends revealed an interesting and possibly unexpected chart that is illustrated in figure 1. (...)

2017

Grand Timely Topics in Software Engineering

Authors
Cunha, J; Fernandes, JP; Lämmel, R; Saraiva, J; Zaytsev, V;

Publication
Lecture Notes in Computer Science

Abstract

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