914 resultados para Restoration indicators
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Analiza a traves del examen de las estadisticas e indicadores existentes, los cambios demograficos mas relevantes para el conocimiento de la situacion de la mujer que han tenido lugar durante el periodo 1950-1980.
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Background and aims. Dementia weakens older people and can lead to malnutrition; therefore, the objective of this study was to assess the association between indicators of dementia and biochemical indicators, anthropometric indicators and food intake in institutionalised older people. Methods. A total of 150 older people of both genders participated in this study. Nutritional status was determined by body mass index and other anthropometric variables, and biochemical indicators were used to analyse the differences between individuals with and without dementia. Energy and nutrient intakes were determined by food records, and dementia was investigated with the Mini-Mental State Examination. The data were analysed by the chi-square test, Student's t-test and Mann-Whitney tests. Results. Of the 150 individuals studied, 48% were men with a mean age of 73±10years and 52% were women with a mean age of 80±9years. Thirty-six per cent had some degree of malnutrition and 48% presented dementia, which was more prevalent in women (59%). The nutritional status of men and women individuals with and without dementia differed significantly (P<0.001 for men and women). The only variables that presented a significant difference between individuals with and without dementia were those associated with muscle mass in men. There were no differences in energy and nutrient intakes between individuals with and without dementia except for vitamin C intake, which differed among women (P=0.032). Conclusion. In the conditions of the present study, dementia was associated with nutritional status, but not with energy and nutrient intakes, suggesting that older people with dementia may have higher nutritional requirements. Implications for practice. Investigation of dementia may contribute to the nutritional status assessment of older people and energy expenditure and immobility should be investigated for a more complete assessment. © 2012 Blackwell Publishing Ltd.
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Background: The aim of this clinical study is to evaluate the 2-year term results of gingival recession (GR) associated with non-carious cervical lesions (NCCLs) treated by connective tissue graft (CTG) alone or in combination with a resin-modified glass ionomer restoration (CTG+R). Methods: Thirty-six patients with Miller Class I buccal GR associated with NCCLs completed the follow-up. The defects were randomly assigned to receive either CTG or CTG+R. Bleeding on probing (BOP), probing depth (PD), relative GR, clinical attachment level (CAL), and cervical lesion height coverage were measured at baseline, 6 months, 1 year, and 2 years after treatment. Results: Both groups showed statistically significant gains in CAL and soft-tissue coverage. The differences between groups were not statistically significant in BOP, PD, relative GR, or CAL after 2 years. Cervical lesion height coverage was 79.31% ± 18.51% for CTG and 71.95% ± 13.25% for CTG+R (P >0.05). Estimated root coverage was 91.56% ± 11.74% for CTG and 93.29% ± 7.97% for CTG+R (P ≥0.05). Conclusions: Within the limits of the present study, it can be concluded that both procedures provide comparable soft tissue coverage after 2 years of follow-up.
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Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search (HS) to find out near-optimal solutions in a Projections Onto Convex Sets-based formulation to solve this problem. The experiments using HS and four of its variants have shown that we can obtain near-optimal and faster restored images than other evolutionary optimization approach. © 2013 IEEE.
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The effectiveness of ecological restoration actions toward biodiversity conservation depends on both local and landscape constraints. Extensive information on local constraints is already available, but few studies consider the landscape context when planning restoration actions. We propose a multiscale framework based on the landscape attributes of habitat amount and connectivity to infer landscape resilience and to set priority areas for restoration. Landscapes with intermediate habitat amount and where connectivity remains sufficiently high to favor recolonization were considered to be intermediately resilient, with high possibilities of restoration effectiveness and thus were designated as priority areas for restoration actions. The proposed method consists of three steps: (1) quantifying habitat amount and connectivity; (2) using landscape ecology theory to identify intermediate resilience landscapes based on habitat amount, percolation theory, and landscape connectivity; and (3) ranking landscapes according to their importance as corridors or bottlenecks for biological flows on a broader scale, based on a graph theory approach. We present a case study for the Brazilian Atlantic Forest (approximately 150 million hectares) in order to demonstrate the proposed method. For the Atlantic Forest, landscapes that present high restoration effectiveness represent only 10% of the region, but contain approximately 15 million hectares that could be targeted for restoration actions (an area similar to today's remaining forest extent). The proposed method represents a practical way to both plan restoration actions and optimize biodiversity conservation efforts by focusing on landscapes that would result in greater conservation benefits. © 2013 Society for Ecological Restoration.
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Incluye BibliografÃa
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Includes bibliography
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Includes bibliography