13 resultados para sabbatical leave

em Universidade do Minho


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Olive oils may be commercialized as intense, medium or light, according to the intensity perception of fruitiness, bitterness and pungency attributes, assessed by a sensory panel. In this work, the capability of an electronic tongue to correctly classify olive oils according to the sensory intensity perception levels was evaluated. Cross-sensitivity and non-specific lipid polymeric membranes were used as sensors. The sensor device was firstly tested using quinine monohydrochloride standard solutions. Mean sensitivities of 14±2 to 25±6 mV/decade, depending on the type of plasticizer used in the lipid membranes, were obtained showing the device capability for evaluating bitterness. Then, linear discriminant models based on sub-sets of sensors, selected by a meta-heuristic simulated annealing algorithm, were established enabling to correctly classify 91% of olive oils according to their intensity sensory grade (leave-one-out cross-validation procedure). This capability was further evaluated using a repeated K-fold cross-validation procedure, showing that the electronic tongue allowed an average correct classification of 80% of the olive oils used for internal-validation. So, the electronic tongue can be seen as a taste sensor, allowing differentiating olive oils with different sensory intensities, and could be used as a preliminary, complementary and practical tool for panelists during olive oil sensory analysis.

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Olive oil quality grading is traditionally assessed by human sensory evaluation of positive and negative attributes (olfactory, gustatory, and final olfactorygustatory sensations). However, it is not guaranteed that trained panelist can correctly classify monovarietal extra-virgin olive oils according to olive cultivar. In this work, the potential application of human (sensory panelists) and artificial (electronic tongue) sensory evaluation of olive oils was studied aiming to discriminate eight single-cultivar extra-virgin olive oils. Linear discriminant, partial least square discriminant, and sparse partial least square discriminant analyses were evaluated. The best predictive classification was obtained using linear discriminant analysis with simulated annealing selection algorithm. A low-level data fusion approach (18 electronic tongue signals and nine sensory attributes) enabled 100 % leave-one-out cross-validation correct classification, improving the discrimination capability of the individual use of sensor profiles or sensory attributes (70 and 57 % leave-one-out correct classifications, respectively). So, human sensory evaluation and electronic tongue analysis may be used as complementary tools allowing successful monovarietal olive oil discrimination.

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The relaxivity displayed by Gd3+ chelates immobilized onto gold nanoparticles is the result of complex interplay between nanoparticle size, water exchange rate and chelate structure. In this work we study the effect of the length of -thioalkyl linkers, anchoring fast water exchanging Gd3+ chelates onto gold nanoparticles, on the relaxivity of the immobilized chelates. Gold nanoparticles functionalized with Gd3+ chelates of mercaptoundecanoyl and lipoyl amide conjugates of the DO3A-N-(-amino)propionate chelator were prepared and studied as potential CA for MRI. High relaxivities per chelate, of the order of magnitude 28-38 mM-1s-1 (30 MHz, 25 ºC) were attained thanks to simultaneous optimization of the rotational correlation time and of the water exchange rate. Fast local rotational motions of the immobilized chelates around connecting linkers (internal flexibility) still limit the attainable relaxivity. The degree of internal flexibility of the immobilized chelates seems not to be correlated with the length of the connecting linkers. Biodistribution and MRI studies in mice suggest that the in vivo behavior of the gold nanoparticles is determined mainly by size. Small nanoparticles (HD= 3.9 nm) undergo fast renal clearance and avoidance of the RES organs while larger nanoparticles (HD= 4.8 nm) undergo predominantly hepatobiliary excretion. High relaxivities, allied to chelate and nanoparticle stability and fast renal clearance in vivo suggests that functionalized gold nanoparticles hold great potential for further investigation as MRI Contrast Agents. This study contributes to understand the effect of linker length on the relaxivity of gold nanoparticles functionalized with Gd3+ complexes. It is a relevant contribution towards “design rules” for nanostructures functionalized with Gd3+ chelates as Contrast Agents for MRI and multimodal imaging.

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Dissertação de mestrado em História

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Dissertação de mestrado em Sociologia das Organizações e Trabalho

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Dissertação de mestrado em Crime, Diferença e Desigualdade

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Dissertação de mestrado em Comunicação, Arte e Cultura

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Atualmente a rede social mais visitada em todo o mundo é o Facebook. Além de nos permitir ter um perfil pessoal podemos partilhar fotos, vídeos, mensagens e outros ficheiros. No Facebook também é permitido criar grupos fechados onde os seus membros podem interagir através de mensagens escritas, de áudio, de vídeo e/ou imagens. Tanto esta rede social quanto os grupos dentro da mesma podem ser usados de forma indevida, mas, por outro lado, também podem ser utilizados para aprender, aprender a fazer, conhecer, desenvolver a linguagem escrita e outras competências. O nosso estudo teve como objetivo conhecer a perceção de educadores de infância e professores de primeiro ciclo do ensino básico relativamente ao uso do Facebook por parte das crianças, bem como às emoções que as crianças manifestam neste uso. Foi um estudo transversal, para o qual construímos e validámos um questionário específico, com questões fechadas sobre o uso da respetiva rede social. O instrumento foi disponibilizado e preenchido online através do Google Forms. A amostra foi de conveniência, tendo sido constituída por 75 indivíduos (69 mulheres, 6 homens) com idades compreendidas entre os 25 e os 56 anos. Os resultados evidenciam que os professores e educadores discordam essencialmente que as crianças aceitem pedidos de amizade e comuniquem pelo chat do Facebook com pessoas que não conhecem, concordando mais que usem para comunicar com familiares e amigos, para aderir a grupos com o objetivo de aprender e que permitem o acesso dos adultos à sua conta. No respeitante as emoções e sentimentos registou-se maior discordância quanto ao facto de as crianças preferirem estar no Facebook do que na presença dos seus amigos e de se sentirem dependentes do uso do mesmo. Porém, observou-se o maior nível de concordância para o facto de ficarem aborrecidas se as obrigarem a sair do Facebook.

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Dissertação de mestrado em Ciências da Comunicação (área de especialização em Audiovisuais e Multimédia)

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Dissertação de mestrado em História

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Dissertação de mestrado em Sociologia (área de especialização em Organizações e Trabalho)

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Natural mineral waters (still), effervescent natural mineral waters (sparkling) and aromatized waters with fruit-flavors (still or sparkling) are an emerging market. In this work, the capability of a potentiometric electronic tongue, comprised with lipid polymeric membranes, to quantitatively estimate routinely quality physicochemical parameters (pH and conductivity) as well as to qualitatively classify water samples according to the type of water was evaluated. The study showed that a linear discriminant model, based on 21 sensors selected by the simulated annealing algorithm, could correctly classify 100 % of the water samples (leave-one out cross-validation). This potential was further demonstrated by applying a repeated K-fold cross-validation (guaranteeing that at least 15 % of independent samples were only used for internal-validation) for which 96 % of correct classifications were attained. The satisfactory recognition performance of the E-tongue could be attributed to the pH, conductivity, sugars and organic acids contents of the studied waters, which turned out in significant differences of sweetness perception indexes and total acid flavor. Moreover, the E-tongue combined with multivariate linear regression models, based on sub-sets of sensors selected by the simulated annealing algorithm, could accurately estimate waters pH (25 sensors: R 2 equal to 0.99 and 0.97 for leave-one-out or repeated K-folds cross-validation) and conductivity (23 sensors: R 2 equal to 0.997 and 0.99 for leave-one-out or repeated K-folds cross-validation). So, the overall satisfactory results achieved, allow envisaging a potential future application of electronic tongue devices for bottled water analysis and classification.