806 resultados para Poor families


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This paper presents a unique two-stage image restoration framework especially for further application of a novel rectangular poor-pixels detector, which, with properties of miniature size, light weight and low power consumption, has great value in the micro vision system. To meet the demand of fast processing, only a few measured images shifted up to subpixel level are needed to join the fusion operation, fewer than those required in traditional approaches. By maximum likelihood estimation with a least squares method, a preliminary restored image is linearly interpolated. After noise removal via Canny operator based level set evolution, the final high-quality restored image is achieved. Experimental results demonstrate effectiveness of the proposed framework. It is a sensible step towards subsequent image understanding and object identification.

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This paper presents several new families of cumulant-based linear equations with respect to the inverse filter coefficients for deconvolution (equalisation) and identification of nonminimum phase systems. Based on noncausal autoregressive (AR) modeling of the output signals and three theorems, these equations are derived for the cases of 2nd-, 3rd and 4th-order cumulants, respectively, and can be expressed as identical or similar forms. The algorithms constructed from these equations are simpler in form, but can offer more accurate results than the existing methods. Since the inverse filter coefficients are simply the solution of a set of linear equations, their uniqueness can normally be guaranteed. Simulations are presented for the cases of skewed series, unskewed continuous series and unskewed discrete series. The results of these simulations confirm the feasibility and efficiency of the algorithms.

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Children’s perceptions of family relationship are related to their later emotional and social adjustment. This is of particular relevance in the context of family stressors such as maternal affective disorder. This study investigated the effects of maternal postnatal depression and anxiety on children’s family representations. In our sample of postnatally depressed mothers we also explored marital conflict as mediator between maternal psychopathology and children’s representations. Family drawings of 235 4–5 year-old children (93 control, 53 depressed and 89 anxious) were examined. When compared to controls, children of depressed, but not of anxious mothers, were more likely to draw themselves as less prominent than other family members and to represent a dysfunctional family, less likely to represent themselves with a happy face and showed a greater tendency of drawing bizarre pictures. Marital conflict mediated the association between maternal depression and dysfunctionality in drawings.

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Over the past decade genomic approaches have begun to revolutionise the study of animal diversity. In particular, genome sequencing programmes have spread beyond the traditional model species to encompass an increasing diversity of animals from many different phyla, as well as unicellular eukaryotes that are closely related to the animals. Whole genome sequences allow researchers to establish, with reasonable confidence, the full complement of any particular family of genes in a genome. Comparison of gene complements from appropriate genomes can reveal the evolutionary history of gene families, indicating when both gene diversification and gene loss have occurred. More than that, however, assembled genomes allow the genomic environment in which individual genes are found to be analysed and compared between species. This can reveal how gene diversification occurred. Here, we focus on the Fox genes, drawing from multiple animal genomes to develop an evolutionary framework explaining the timing and mechanism of origin of the diversity of animal Fox genes. Ancient linkages between genes are a prominent feature of the Fox genes, depicting a history of gene clusters, some of which may be relevant to understanding Fox gene function.

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Within the development discourse, the narratives of the poor are a well utilized rhetorical tool to describe poverty and its causes. However, narratives can also reveal the beliefs and ‘world-view’ of the narrators. To explore this influence, the authors applied a discursive approach, to deconstruct the narratives of 101 slum dwellers in Kibera, Nairobi. The results revealed that poverty was largely attributed to external constraints, beyond an individual's control. Despite wanting a better life, participants held low expectations for the future. Hopes and dreams were placed on their children. While risk and uncertainty was a constant theme, large differences were found between genders as to the aspirations for the future. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.

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The study explores the uptake of livestock vaccination among poor farming communities in Tamil Nadu State, India by revisiting innovation diffusion theory. Overall, 601 farmers participated in the study. We found the adoption of particular vaccines was strongly influenced by socio-cultural grouping i.e. caste, rather than other factors such as income, age, education-level or gender. Adoption was also related to specific knowledge frames regarding disease causality, rather than any wider ethno-veterinary beliefs. Thus, the adoption of livestock vaccination is unlikely to improve without knowledge transfer activities, which acknowledge both social divisions and local epistemologies regarding animal health. Copyright © 2010 John Wiley & Sons, Ltd.