891 resultados para Descriptive sequence
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Background. High quality maternal health care is an important tool to reduce maternal and neonatal mortality. Services offered should be evidence based and adapted to the local setting. This qualitative descriptive study explored the perspectives and experiences of midwives, assistant physicians and medical doctors on the content and quality of maternal health care in rural Vietnam. Method. The study was performed in a rural district in northern Vietnam. Four focus group discussions with health care professionals at primary health care level were conducted. The data was analysed using qualitative manifest and latent content analysis. Result. Two main themes emerged: "Contextual conditions for maternal health care" and "Balancing between possibilities and constraints". Contextual conditions influenced both pregnant women's use of maternal health care and health care professionals' performance. The study participants stated that women's uses of maternal health care were influenced by economical constraints and cultural norms that impeded their autonomy in relation to childbearing. Structural constraints within the health care system included inadequate financing of the primary health care, resulting in lack of human resources, professional re-training and adequate equipment. Conclusion. Contextual conditions strongly influenced the performance and interaction between pregnant women and health care professionals within antenatal care and delivery care in a rural district of Vietnam. Although Vietnam is performing comparatively well in terms of low maternal and child mortality figures, this study revealed midwives' and other health care professionals' perceived difficulties in their daily work. It seemed maternal health care was under-resourced in terms of staff, equipment and continuing education activities. The cultural setting in Vietnam constituting a strong patriarchal society and prevailing Confucian norms limits women's autonomy and reduce their possibility to make independent decisions about their own reproductive health. This issue should be further addressed by policy-makers. Strategies to reduce inequities in maternal health care for pregnant women are needed. The quality of client-provider interaction and management of pregnancy may be strengthened by education, human resources, re-training and provision of essential equipment.
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This paper proposes an efficient pattern extraction algorithm that can be applied on melodic sequences that are represented as strings of abstract intervallic symbols; the melodic representation introduces special “binary don’t care” symbols for intervals that may belong to two partially overlapping intervallic categories. As a special case the well established “step–leap” representation is examined. In the step–leap representation, each melodic diatonic interval is classified as a step (±s), a leap (±l) or a unison (u). Binary don’t care symbols are used to represent the possible overlapping between the various abstract categories e.g. *=s, *=l and #=-s, #=-l. We propose an O(n+d(n-d)+z)-time algorithm for computing all maximal-pairs in a given sequence x=x[1..n], where x contains d occurrences of binary don’t cares and z is the number of reported maximal-pairs.
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This paper proposes an efficient pattern extraction algorithm that can be applied on melodic sequences that are represented as strings of abstract intervallic symbols; the melodic representation introduces special “binary don’t care” symbols for intervals that may belong to two partially overlapping intervallic categories. As a special case the well established “step–leap” representation is examined. In the step–leap representation, each melodic diatonic interval is classified as a step (±s), a leap (±l) or a unison (u). Binary don’t care symbols are used to represent the possible overlapping between the various abstract categories e.g. *=s, *=l and #=-s, #=-l. We propose an O(n+d(n-d)+z)-time algorithm for computing all maximal-pairs in a given sequence x=x[1..n], where x contains d occurrences of binary don’t cares and z is the number of reported maximal-pairs.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Estudos regionais mais detalhados, utilizando modelos de paisagem e geoestatística, têm demonstrado que, em áreas consideradas homogêneas, sob uma única classe de solo, existe dependência espacial de atributos granulométricos. Visando a avaliar a variabilidade espacial de atributos granulométricos em Latossolo Vermelho eutroférrico, foram feitas amostragens do solo em intervalos regulares de 50 m, em forma de malha, totalizando 306 pontos de amostragem. Foram coletadas amostras nas profundidades de 0-0,2 m e 0,6-0,8 m para a determinação da argila, silte, areia total (AT), areia grossa (AG), areia média (AM), areia fina (AF) e areia muito fina (AMF). Os dados foram submetidos à análise estatística descritiva, geoestatística e interpolação por krigagem. Os valores do coeficiente de variação apresentaram-se baixos para argila, médios para silte, AT, AF, AM e AMF e altos para AG. Observou-se ocorrência de dependência espacial para todas as variáveis com grau moderado de dependência espacial, com os maiores alcances ocorrendo na profundidade de 0-0,2 m. Os latossolos, apesar de serem homogêneos, mesmo em áreas de mesma classe de solo e manejo, apresentaram variabilidade diferenciada para os atributos granulométricos.