7 resultados para reciprocal rank
em Repositório Científico do Instituto Politécnico de Lisboa - Portugal
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O presente estudo tem como principal objetivo identificar na interação mãe- bebés de 3 meses, indicadores de risco e de qualidade e, consequentemente, criar um guião que ajude os profissionais a identificar esses mesmos indicadores. Para o efeito observámos 30 díades mãe-filho(a) em jogo livre distribuídas em dois grupos: 1) 12 díades sem condições assinaláveis de risco e 2) 18 díades em risco socioeconómico. O comportamento interativo dos bebés e das mães foi avaliado através do Child-Adult Relashionship Experimental, designado pela autora de CARE-Index (Crittenden, 2003). Os comportamentos maternos e infantis foram cotados de acordo com os 7 aspetos do comportamento diádico: Expressão Facial, Expressão Verbal, Posição e Contato Corporal, Afetividade, Reciprocidade, Diretividade e Escolha da Atividade. Os resultados do nosso estudo revelam que as díades mãe-filho(a) sem condições assinaláveis de risco apresentam interações mais positivas, recíprocas e ajustadas à idade das crianças do que as díades sujeitas a condições de risco e que o comportamento materno sensível e responsivo surge associado ao comportamento cooperativo infantil e negativamente correlacionado com a dificuldade infantil, enquanto que uma postura controladora, diretiva ou punitiva da mãe surge positivamente correlacionada com a submissão e evitamento infantil. Por fim, encontramos associados a comportamentos maternos sensíveis uma variabilidade de comportamentos infantis desde satisfação, coerção, procura de proximidade ou evitamento. Na discussão dos resultados apresentamos um script dos indicadores de qualidade e de risco do comportamento materno. - Abstract This study main goal was to study mother-infant quality of interaction in dyads with 3 months babies. Moreover, our goal was to explore maternal and infant key behaviors that shape the quality of the interaction in order to organize a script that helps professionals to identify these critical interactive behaviors. To this end we observed 30 mother-child dyads (a) in free play interaction divided into two groups: 1) 12 dyads without any known risk condition and 2) 18 dyads at socioeconomic risk. The interactive behavior of infants and mothers was assessed using the Child-Adult Relationship Experimental, designated by the author of CARE-Index (Crittenden, 2003). The maternal and infant behaviors were rated according to seven aspects of dyadic behavior: Facial Expression, Verbal Expression, Position and Contact Body, Affection, Reciprocity, Directivity and Choice of Activity. Findings indicate that mother-child dyads without know risk conditions are more likely to present positive interactions, reciprocal and age-adjusted than dyads at risk. The sensitive and responsive maternal behavior emerges associated with children's cooperative behavior and negatively correlated with infant difficultness, while a controlling or punitive maternal behavior is positively correlated with infant compliance and avoidance. Finally, sensitive maternal behaviors were associated with a variability of child behaviors, from satisfaction, coercion, avoidance or proximity search. In the results discussion we present a script of the quality and risks indicators of maternal behavior.
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Background: A common task in analyzing microarray data is to determine which genes are differentially expressed across two (or more) kind of tissue samples or samples submitted under experimental conditions. Several statistical methods have been proposed to accomplish this goal, generally based on measures of distance between classes. It is well known that biological samples are heterogeneous because of factors such as molecular subtypes or genetic background that are often unknown to the experimenter. For instance, in experiments which involve molecular classification of tumors it is important to identify significant subtypes of cancer. Bimodal or multimodal distributions often reflect the presence of subsamples mixtures. Consequently, there can be genes differentially expressed on sample subgroups which are missed if usual statistical approaches are used. In this paper we propose a new graphical tool which not only identifies genes with up and down regulations, but also genes with differential expression in different subclasses, that are usually missed if current statistical methods are used. This tool is based on two measures of distance between samples, namely the overlapping coefficient (OVL) between two densities and the area under the receiver operating characteristic (ROC) curve. The methodology proposed here was implemented in the open-source R software. Results: This method was applied to a publicly available dataset, as well as to a simulated dataset. We compared our results with the ones obtained using some of the standard methods for detecting differentially expressed genes, namely Welch t-statistic, fold change (FC), rank products (RP), average difference (AD), weighted average difference (WAD), moderated t-statistic (modT), intensity-based moderated t-statistic (ibmT), significance analysis of microarrays (samT) and area under the ROC curve (AUC). On both datasets all differentially expressed genes with bimodal or multimodal distributions were not selected by all standard selection procedures. We also compared our results with (i) area between ROC curve and rising area (ABCR) and (ii) the test for not proper ROC curves (TNRC). We found our methodology more comprehensive, because it detects both bimodal and multimodal distributions and different variances can be considered on both samples. Another advantage of our method is that we can analyze graphically the behavior of different kinds of differentially expressed genes. Conclusion: Our results indicate that the arrow plot represents a new flexible and useful tool for the analysis of gene expression profiles from microarrays.
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Dissertação apresentada para obtenção do grau de Mestre em Ciências da Educação Área de especialização em Intervenção Precoce
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
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This paper presents a single precision floating point arithmetic unit with support for multiplication, addition, fused multiply-add, reciprocal, square-root and inverse squareroot with high-performance and low resource usage. The design uses a piecewise 2nd order polynomial approximation to implement reciprocal, square-root and inverse square-root. The unit can be configured with any number of operations and is capable to calculate any function with a throughput of one operation per cycle. The floatingpoint multiplier of the unit is also used to implement the polynomial approximation and the fused multiply-add operation. We have compared our implementation with other state-of-the-art proposals, including the Xilinx Core-Gen operators, and conclude that the approach has a high relative performance/area efficiency. © 2014 Technical University of Munich (TUM).
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Let X be a finite or infinite chain and let be the monoid of all endomorphisms of X. In this paper, we describe the largest regular subsemigroup of and Green's relations on. In fact, more generally, if Y is a nonempty subset of X and is the subsemigroup of of all elements with range contained in Y, we characterize the largest regular subsemigroup of and Green's relations on. Moreover for finite chains, we determine when two semigroups of the type are isomorphic and calculate their ranks.
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The rank of a semigroup, an important and relevant concept in Semigroup Theory, is the cardinality of a least-size generating set. Semigroups of transformations that preserve or reverse the order or the orientation as well as semigroups of transformations preserving an equivalence relation have been widely studied over the past decades by many authors. The purpose of this article is to compute the ranks of the monoid