514 resultados para Buchanan, Edsel


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We recently reported that a linkage disequilibrium (LD) block on chromosome 10q encompassing the gene encoding insulin-degrading enzyme (IDE) harbors sequence variants that associate with Alzheimer disease (AD). Evidence also indicated effects upon a number of quantitative indices of AD severity, including age-at-onset (AAO). Since linkage of this immediate region to AAO has been shown in both AD and Parkinson disease (PD), we have explored the possibility that polymorphism within this LD block might also influence PD. Utilizing single nucleotide polymorphisms that delineate common haplotypes from this region, we observed significant evidence of association with AAO in an Australian PD case-control sample. Analyses were complemented with AAO data from two independent Swedish AD case samples, for which previously reported findings were replicated. Results were consistent between AD and PD, suggesting the presence of equivalent detrimental and protective alleles. These data highlight a genomic region in the proximity of IDE that may contribute to AD and PD in a similar manner.

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A primary haplotype (H1) of the microtubule-associated protein Tau (MAPT) gene is associated with Parkinson's disease (PD). However, the mechanism for disease susceptibility remains unknown. We examined the promoter region of MAPT and identified single nucleotide polymorphisms and insertions of 1 to 11 nucleotides. These polymorphisms corresponded to the previously characterized haplotypes, H1 and H2, as well as a novel variant of the H1 haplotype, H1'. As observed in other studies, we demonstrated a significant association with the H1/H1 promoter genotype and PD in a cohort of 206 idiopathic late-onset cases. This is in contrast with a panel of 13 early-onset PD patients, for whom we did not detect any mutations in MAPT. By examining single nucleotide polymorphisms in adjacent genes, we showed that linkage disequilibrium does not extend beyond the MAPT haplotype to neighboring genes. To define the mechanism of disease susceptibility, we examined the transcriptional activity of the promoter haplotypes using a luciferase reporter assay. We demonstrated in two human cell lines, SK-N-MC and 293, that the H1 haplotype was more efficient at driving gene expression than the H2 haplotype. Our data suggest that an increase in expression of the MAPT gene is a susceptibility factor in idiopathic PD.

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Primates have X chromosome genes for cone photopigments with sensitivity maxima from 535 to 562 nm. Old World monkeys and apes (catarrhines) and the New World ( platyrrhine) genus Alouatta have separate genes for 535-nm ( medium wavelength; M) and 562-nm ( long wavelength; L) pigments. These pigments, together with a 425-nm ( short wavelength) pigment, permit trichromatic color vision. Other platyrrhines and prosimians have a single X chromosome gene but often with alleles for two or three M/L photopigments. Consequently, heterozygote females are trichromats, but males and homozygote females are dichromats. The criteria that affect the evolution of M/L alleles and maintain genetic polymorphism remain a puzzle, but selection for finding food may be important. We compare different types of color vision for detecting more than 100 plant species consumed by tamarins ( Saguinus spp.) in Peru. There is evidence that both frequency-dependent selection on homozygotes and heterozygote advantage favor M/L polymorphism and that trichromatic color vision is most advantageous in dim light. Also, whereas the 562-nm allele is present in all species, the occurrence of 535- to 556-nm alleles varies between species. This variation probably arises because trichromatic color vision favors widely separated pigments and equal frequencies of 535/543- and 562-nm alleles, whereas in dichromats, long-wavelength pigment alleles are fitter.

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Urban regions present some of the most challenging areas for the remote sensing community. Many different types of land cover have similar spectral responses, making them difficult to distinguish from one another. Traditional per-pixel classification techniques suffer particularly badly because they only use these spectral properties to determine a class, and no other properties of the image, such as context. This project presents the results of the classification of a deeply urban area of Dudley, West Midlands, using 4 methods: Supervised Maximum Likelihood, SMAP, ECHO and Unsupervised Maximum Likelihood. An accuracy assessment method is then developed to allow a fair representation of each procedure and a direct comparison between them. Subsequently, a classification procedure is developed that makes use of the context in the image, though a per-polygon classification. The imagery is broken up into a series of polygons extracted from the Marr-Hildreth zero-crossing edge detector. These polygons are then refined using a region-growing algorithm, and then classified according to the mean class of the fine polygons. The imagery produced by this technique is shown to be of better quality and of a higher accuracy than that of other conventional methods. Further refinements are suggested and examined to improve the aesthetic appearance of the imagery. Finally a comparison with the results produced from a previous study of the James Bridge catchment, in Darleston, West Midlands, is made, showing that the Polygon classified ATM imagery performs significantly better than the Maximum Likelihood classified videography used in the initial study, despite the presence of geometric correction errors.

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Monitoring land-cover changes on sites of conservation importance allows environmental problems to be detected, solutions to be developed and the effectiveness of actions to be assessed. However, the remoteness of many sites or a lack of resources means these data are frequently not available. Remote sensing may provide a solution, but large-scale mapping and change detection may not be appropriate, necessitating site-level assessments. These need to be easy to undertake, rapid and cheap. We present an example of a Web-based solution based on free and open-source software and standards (including PostGIS, OpenLayers, Web Map Services, Web Feature Services and GeoServer) to support assessments of land-cover change (and validation of global land-cover maps). Authorised users are provided with means to assess land-cover visually and may optionally provide uncertainty information at various levels: from a general rating of their confidence in an assessment to a quantification of the proportions of land-cover types within a reference area. Versions of this tool have been developed for the TREES-3 initiative (Simonetti, Beuchle and Eva, 2011). This monitors tropical land-cover change through ground-truthing at latitude / longitude degree confluence points, and for monitoring of change within and around Important Bird Areas (IBAs) by Birdlife International and the Royal Society for the Protection of Birds (RSPB). In this paper we present results from the second of these applications. We also present further details on the potential use of the land-cover change assessment tool on sites of recognised conservation importance, in combination with NDVI and other time series data from the eStation (a system for receiving, processing and disseminating environmental data). We show how the tool can be used to increase the usability of earth observation data by local stakeholders and experts, and assist in evaluating the impact of protection regimes on land-cover change.

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Objective. To examine children's knowledge, understanding and experience of stress from 4 to 11 years of age across four age groups (4–5, 6–7, 8–9, and 10–11 years old). Methods. A semi-structured interview format was used to elicit information from 50 children about their understanding and experience of stress. Results. Most children were able to define stress, with older children providing more complex responses. Many children had indirect and/or personal experience of stress. Younger children were more likely than older children to report that there was nothing people could do to stop stress; children reported using both adaptive and maladaptive coping strategies to deal with stress. Conclusion. Some young children have a basic understanding of stress and many have experience of stress; both understanding and experience develop with age. Practice Implications. The research has potential implications for provider-patient communication, particularly within preventative health education and clinically within the field of childhood post-traumatic stress disorder (PTSD).

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Postharvest senescence in broccoli (Brassica oleracea L. var Italica) florets results in phenotypic changes similar to those seen in developmental leaf senescence. To compare these two processes in more detail, we investigated molecular and biochemical changes in broccoli florets stored at two different temperatures after harvest. We found that storage at cooler temperatures delayed the symptoms of senescence at both the biochemical and gene expression levels. Changes in key biochemical components (lipids, protein, and chlorophyll) and in gene expression patterns occurred in the harvested tissue well before any visible signs of senescence were detected. Using previously identified senescence-enhanced genes and also newly isolated, differentially expressed genes, we found that the majority of these showed a similar enhancement of expression in postharvest broccoli as in developmental leaf senescence. At the biochemical level, a rapid loss of membrane fatty acids was detected after harvest, when stored at room temperature. However, there was no corresponding increase in levels of lipid peroxidation products. This, together with an increased expression of protective antioxidant genes, indicated that, in the initial stages of postharvest senescence, an orderly dismantling of the cellular constituents occurs, using the available lipid as an energy source. Postharvest changes in broccoli florets, therefore, show many similarities to the processes of developmental leaf senescence.

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Monitoring is essential for conservation of sites, but capacity to undertake it in the field is often limited. Data collected by remote sensing has been identified as a partial solution to this problem, and is becoming a feasible option, since increasing quantities of satellite data in particular are becoming available to conservationists. When suitably classified, satellite imagery can be used to delineate land cover types such as forest, and to identify any changes over time. However, the conservation community lacks (a) a simple tool appropriate to the needs for monitoring change in all types of land cover (e.g. not just forest), and (b) an easily accessible information system which allows for simple land cover change analysis and data sharing to reduce duplication of effort. To meet these needs, we developed a web-based information system which allows users to assess land cover dynamics in and around protected areas (or other sites of conservation importance) from multi-temporal medium resolution satellite imagery. The system is based around an open access toolbox that pre-processes and classifies Landsat-type imagery, and then allows users to interactively verify the classification. These data are then open for others to utilize through the online information system. We first explain imagery processing and data accessibility features, and then demonstrate the toolbox and the value of user verification using a case study on Nakuru National Park, Kenya. Monitoring and detection of disturbances can support implementation of effective protection, assist the work of park managers and conservation scientists, and thus contribute to conservation planning, priority assessment and potentially to meeting monitoring needs for Aichi target 11.

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The survey was jointly funded by NHS Health Scotland and the Glasgow Centre for Population Health.

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Date of Acceptance: 10/07/2015 The Chief Scientist Office of the Scottish Government Health and Social Care Directorates funds HERU. The survey was jointly funded by NHS Health Scotland and the Glasgow Centre for Population Health. The views expressed in this paper are those of the authors only and not those of the funding bodies. The investigator team for the overall survey comprises David Walsh, Gerry McCartney, Sarah McCullough, Marjon van der Pol, Duncan Buchanan and Russell Jones.

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The survey was jointly funded by NHS Health Scotland and the Glasgow Centre for Population Health.