Canto e emoção: indicadores emocionais não verbais na execução do discurso musical cantado

Na performance de uma obra musical cantada, o cantor tem um papel determinante para a transmissão ao público, não só das suas componentes informativas, de natureza conceptual, a nível musical e literário, mas também na indução nos ouvintes dos estados emocionais intrínsecos a cada momento da obra através de indicadores vocais não verbais. Este estudo teve como objectivo central a análise dos parâmetros acústicos que constituem estes indicadores e a sua eficácia. Procurou-se estabelecer uma relação entre as alterações fisiológicas que caracterizam os processos somáticos que acompanham o despoletar dos estados emocionais e os perfis acústicos das vocalizações produzidas nessas condições, partindo de uma reflexão sobre o cantor e a sua função social, passando pela análise do fenómeno da emoção como parte integrante da biologia do indivíduo e da espécie. O grau de indução emocional no público depende da capacidade de o cantor integrar os processos de expressão da emoção na sua execução musical, reflectindo no perfil acústico daí resultante não só a qualidade da sua técnica e as suas características vocais, mas também as alterações fisiológicas que acompanham a libertação de neurotransmissores e neuromoduladores, as modificações na expressão facial, na forma e grau de tensão do tracto vocal, ou no perfil respiratório. Este mecanismo utiliza o relacionamento entre sinais sonoros e estados emocionais do emissor e do receptor processado através de um grupo específico de neurónios, os neurónios de espelho. Para caracterizar os indicadores acústicos dos estados emocionais mais simples, foi elaborado um conjunto de parâmetros, aplicados na análise de vocalizações recolhidas em situações emocionais induzidas. Os cantores que colaboraram no presente estudo passaram pelo mesmo processo, e os seus parâmetros foram comparados com os do paradigma estabelecido. O grau de compatibilidade com a norma foi medido por um índice onde se valorizaram os parâmetros mais significativos. Estes resultados foram posteriormente aferidos com os de testes onde se procurou determinar o grau de identificação pelo público dos sinais acústicos portadores de sentido emocional em exemplos musicais cantados. Destes, foram seleccionados aqueles que atingiram os níveis de identificação acima de 90% e os inferiores a 50%, procedendo-se à análise dos parâmetros acústicos de segmentos particularmente relevantes extraídos desses exemplos, para definir aqueles que se mostraram decisivos para a escolha do público.

Correlates of facial expressions in the primary visual cortex

Face detection and recognition should be complemented by recognition of facial expression, for example for social robots which must react to human emotions. Our framework is based on two multi-scale representations in cortical area V1: keypoints at eyes, nose and mouth are grouped for face detection [1]; lines and edges provide information for face recognition [2].

Recognition of facial expressions by cortical multi-scale line and edge coding

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extraction. Simple, complex and end-stopped cells provide input for line, edge and keypoint detection. Detected events provide a rich, multi-scale object representation, and this representation can be stored in memory in order to identify objects. In this paper, the above context is applied to face recognition. The multi-scale line/edge representation is explored in conjunction with keypoint-based saliency maps for Focus-of-Attention. Recognition rates of up to 96% were achieved by combining frontal and 3/4 views, and recognition was quite robust against partial occlusions.

Cape Verde coastal ecosystem: a study of community structure, trophic interactions and exploitation pattern

Tese de dout., Ciências e Tecnologia das Pescas, Faculdade de Ciências do Mar e do Ambiente, Universidade do Algarve, 2005

Cardiorespiratory fitness is negatively associated with metabolic risk factors independently of the adherence to a healthy dietary pattern

Background and aim: Cardiorespiratory fitness (CRF) and diet have been involved as significant factors towards the prevention of cardio-metabolic diseases. This study aimed to assess the impact of the combined associations of CRF and adherence to the Southern European Atlantic Diet (SEADiet) on the clustering of metabolic risk factors in adolescents. Methods and Results: A cross-sectional school-based study was conducted on 468 adolescents aged 15-18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC), HDL-cholesterol, triglycerides, systolic blood pressure, waits circumference and height. HOMA, TC/HDL-C ratio and waist-to-height ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS) was constructed by summing the Z scores of all individual risk factors. High risk was considered when the individual had 1SD of this score. CRF was measured with the 20 m-Shuttle-Run- Test. Adherence to SEADiet was assessed with a semi-quantitative food frequency questionnaire. Logistic regression showed that, after adjusting for potential confounders, unfit adolescents with low adherence to SEADiet had the highest odds of having MRS (OR Z 9.4; 95%CI:2.6e33.3) followed by the unfit ones with high adherence to the SEADiet (OR Z 6.6; 95% CI: 1.9e22.5) when compared to those who were fit and had higher adherence to SEADiet.

Fractional central pattern generators for bipedal locomotion

Locomotion has been a major research issue in the last few years. Many models for the locomotion rhythms of quadrupeds, hexapods, bipeds and other animals have been proposed. This study has also been extended to the control of rhythmic movements of adaptive legged robots. In this paper, we consider a fractional version of a central pattern generator (CPG) model for locomotion in bipeds. A fractional derivative D α f(x), with α non-integer, is a generalization of the concept of an integer derivative, where α=1. The integer CPG model has been proposed by Golubitsky, Stewart, Buono and Collins, and studied later by Pinto and Golubitsky. It is a network of four coupled identical oscillators which has dihedral symmetry. We study parameter regions where periodic solutions, identified with legs’ rhythms in bipeds, occur, for 0<α≤1. We find that the amplitude and the period of the periodic solutions, identified with biped rhythms, increase as α varies from near 0 to values close to unity.

Dynamic Analysis and Pattern Visualization of Forest Fires

This paper analyses forest fires in the perspective of dynamical systems. Forest fires exhibit complex correlations in size, space and time, revealing features often present in complex systems, such as the absence of a characteristic length-scale, or the emergence of long range correlations and persistent memory. This study addresses a public domain forest fires catalogue, containing information of events for Portugal, during the period from 1980 up to 2012. The data is analysed in an annual basis, modelling the occurrences as sequences of Dirac impulses with amplitude proportional to the burnt area. First, we consider mutual information to correlate annual patterns. We use visualization trees, generated by hierarchical clustering algorithms, in order to compare and to extract relationships among the data. Second, we adopt the Multidimensional Scaling (MDS) visualization tool. MDS generates maps where each object corresponds to a point. Objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to identify forest fire patterns.

Dados de reconhecimento facial em Business Intelligence

Vivemos cada vez mais numa era de crescentes avanços tecnológicos em diversas áreas. O que há uns anos atrás era considerado como praticamente impossível, em muitos dos casos, já se tornou realidade. Todos usamos tecnologias como, por exemplo, a Internet, Smartphones e GPSs de uma forma natural. Esta proliferação da tecnologia permitiu tanto ao cidadão comum como a organizações a sua utilização de uma forma cada vez mais criativa e simples de utilizar. Além disso, a cada dia que passa surgem novos negócios e startups, o que demonstra o dinamismo que este crescimento veio trazer para a indústria. A presente dissertação incide sobre duas áreas em forte crescimento: Reconhecimento Facial e Business Intelligence (BI), assim como a respetiva combinação das duas com o objetivo de ser criado um novo módulo para um produto já existente. Tratando-se de duas áreas distintas, é primeiramente feito um estudo sobre cada uma delas. A área de Business Intelligence é vocacionada para organizações e trata da recolha de informação sobre o negócio de determinada empresa, seguindo-se de uma posterior análise. A grande finalidade da área de Business Intelligence é servir como forma de apoio ao processo de tomada de decisão por parte dos analistas e gestores destas organizações. O Reconhecimento Facial, por sua vez, encontra-se mais presente na sociedade. Tendo surgido no passado através da ficção científica, cada vez mais empresas implementam esta tecnologia que tem evoluído ao longo dos anos, chegando mesmo a ser usada pelo consumidor final, como por exemplo em Smartphones. As suas aplicações são, portanto, bastante diversas, desde soluções de segurança até simples entretenimento. Para estas duas áreas será assim feito um estudo com base numa pesquisa de publicações de autores da respetiva área. Desde os cenários de utilização, até aspetos mais específicos de cada uma destas áreas, será assim transmitido este conhecimento para o leitor, o que permitirá uma maior compreensão por parte deste nos aspetos relativos ao desenvolvimento da solução. Com o estudo destas duas áreas efetuado, é então feita uma contextualização do problema em relação à área de atuação da empresa e quais as abordagens possíveis. É também descrito todo o processo de análise e conceção, assim como o próprio desenvolvimento numa vertente mais técnica da solução implementada. Por fim, são apresentados alguns exemplos de resultados obtidos já após a implementação da solução.

Dynamic Analysis and Pattern Visualization of Forest Fires

This paper analyses forest fires in the perspective of dynamical systems. Forest fires exhibit complex correlations in size, space and time, revealing features often present in complex systems, such as the absence of a characteristic length-scale, or the emergence of long range correlations and persistent memory. This study addresses a public domain forest fires catalogue, containing information of events for Portugal, during the period from 1980 up to 2012. The data is analysed in an annual basis, modelling the occurrences as sequences of Dirac impulses with amplitude proportional to the burnt area. First, we consider mutual information to correlate annual patterns. We use visualization trees, generated by hierarchical clustering algorithms, in order to compare and to extract relationships among the data. Second, we adopt the Multidimensional Scaling (MDS) visualization tool. MDS generates maps where each object corresponds to a point. Objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to identify forest fire patterns.

Anti-Tumor Necrosis Factor Alpha-Induced Drug Eruptions: One Patient, More Than a Pattern

Background: Tumor necrosis factor alpha (TNFα) antagonists are effective in treating several immune-inflammatory diseases, including psoriasis and inflammatory bowel disease. The paradoxical and unpredictable induction of psoriasis and psoriasiform skin lesions is a recognized adverse event, although of unclear aetiology. However, histological analysis of these eruptions remains insufficient, yet suggesting that some might constitute a new pattern of adverse drug reaction, rather than true psoriasis. Case report: The authors report the case of a 43-year-old woman with severe recalcitrant Crohn disease who started treatment with infliximab. There was also a personal history of mild plaque psoriasis without clinical expression for the past eight years. She developed a heterogeneous cutaneous eruption of psoriasiform morphology with pustules and crusts after the third infliximab infusion. The histopathological diagnosis was of a Sweet-like dermatosis. The patient was successfully treated with cyclosporine in association with both topical corticosteroid and vitamin D3 analogue. Three weeks after switching to adalimumab a new psoriasiform eruption was observed, histologically compatible with a psoriasiform drug eruption. Despite this, and considering the beneficial effect on the inflammatory bowel disease, it was decided to maintain treatment with adalimumab and to treat through with topicals, with progressive control of skin disease. Discussion: Not much is known about the pathogenesis of psoriasiform eruptions induced by biological therapies, but genetic predisposition and Koebner phenomenon may contribute to it. Histopathology can add new facets to the comprehension of psoriasiform reactions. In fact, histopathologic patterns of such skin lesions appear to be varied, in a clear asymmetry with clinical findings. Conclusion: The sequential identification in the same patient of two clinical and histopathologic patterns of drug reaction to TNFα antagonists is rare. Additionally, to the authors’ knowledge, there is only one other description in literature of a TNFα antagonist-induced Sweet-like dermatosis, emphasizing the singularity of this case report.

Breaking the Pattern and Creating New Paths – Feminist Mizrahi Women Artists in Israel

This article addresses the work of Mizrahi women artists, i.e., Israeli-Jewish women of Asian or African ethnic origin, using the artist Vered Nissim as a case study. Nissim seeks to affirm the politics of identity and recognition, as well as feminism in order to create a paradigm shift with regards to the local regime of cultural representations in the Israeli art scene. Endeavouring to find ways of undermining the rigid imbalances between different social groups, she calls for a comprehensive reform of the status quo through artistic activism. Nissim employs a style, content, and medium that disrupts the accepted social order, using humour and irony as unique weapons with which she takes liberties with conventional moral, social, and economic values. Placing issues of race, class and gender at the centre of her work, she seeks to undermine and problematize essentialist attitudes, highlighting the political intersections of different identity categories as the critical analysis of intersectionality unfolds.

Male-pattern baldness susceptibility locus at 20p11.

We conducted a genome-wide association study for androgenic alopecia in 1,125 men and identified a newly associated locus at chromosome 20p11.22, confirmed in three independent cohorts (n = 1,650; OR = 1.60, P = 1.1 x 10(-14) for rs1160312). The one man in seven who harbors risk alleles at both 20p11.22 and AR (encoding the androgen receptor) has a sevenfold-increased odds of androgenic alopecia (OR = 7.12, P = 3.7 x 10(-15)).