942 resultados para proximity points
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Thesis (Master's)--University of Washington, 2016-06
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Thesis (Master's)--University of Washington, 2016-06
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Use of nonlinear parameter estimation techniques is now commonplace in ground water model calibration. However, there is still ample room for further development of these techniques in order to enable them to extract more information from calibration datasets, to more thoroughly explore the uncertainty associated with model predictions, and to make them easier to implement in various modeling contexts. This paper describes the use of pilot points as a methodology for spatial hydraulic property characterization. When used in conjunction with nonlinear parameter estimation software that incorporates advanced regularization functionality (such as PEST), use of pilot points can add a great deal of flexibility to the calibration process at the same time as it makes this process easier to implement. Pilot points can be used either as a substitute for zones of piecewise parameter uniformity, or in conjunction with such zones. In either case, they allow the disposition of areas of high and low hydraulic property value to be inferred through the calibration process, without the need for the modeler to guess the geometry of such areas prior to estimating the parameters that pertain to them. Pilot points and regularization can also be used as an adjunct to geostatistically based stochastic parameterization methods. Using the techniques described herein, a series of hydraulic property fields can be generated, all of which recognize the stochastic characterization of an area at the same time that they satisfy the constraints imposed on hydraulic property values by the need to ensure that model outputs match field measurements. Model predictions can then be made using all of these fields as a mechanism for exploring predictive uncertainty.
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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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Jane Austen is typically described as having excellent health until the age of 40 and the onset of a mysterious and fatal illness, initially identified by Sir Zachary Cope in 1964 as Addison's disease. Her biographers, deceived both by Cassandra Austen's destruction of letters containing medical detail, and the cheerful high spirits of the existing letters, have seriously underestimated the extent to which illness affected Austen's life. A medical history reveals that she was particularly susceptible to infection, and suffered unusually severe infective illnesses, as well as a chronic conjunctivitis that impeded her ability to write. There is evidence that Austen was already suffering from an immune deficiency and fatal lymphoma in January 1813, when her second and most popular novel, Pride and Prejudice, was published. Four more novels would follow, written or revised in the shadow of her increasing illness and debility. Whilst it is impossible now to conclusively establish the cause of her death, the existing medical evidence tends to exclude Addison's disease, and suggests there is a high possibility that Jane Austen's fatal illness was Hodgkin's disease, a form of lymphoma.
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Penaeid prawns were sampled with a small seine net to test whether catches of postlarvae and juveniles in seagrass were affected by the distance of the seagrass (mainly Zostera capricorni) from mangroves and the density of the seagrass in a subtropical marine embayment. Sampling was replicated on the western and eastern sides of Moreton Bay, Queensland, Australia. Information on catches was combined with broad-scale spatial information on the distribution of habitats to estimate the contribution of four different categories of habitat (proximal dense seagrass, distal dense seagrass, proximal sparse seagrass, distal sparse seagrass) to the overall population of small prawns in these regions of Moreton Bay. The abundance of Penaeus plebejus and Metapenaeus bennettae was significantly and consistently greater in dense seagrass proximal to mangroves than in other types of habitat. Additionally, sparse seagrass close to mangroves supported more of these species than dense seagrass farther away, indicating that the role of spatial arrangement of habitats was more important than the effects of structural complexity alone. In contrast, the abundance of P. esculentus tended to be greatest in sparse seagrass distal from mangroves compared with the other habitats. The scaling up of the results from different seagrass types suggests that proximal seagrass beds on both sides of Moreton Bay provide by far the greatest contribution of juvenile M. bennettae and P. plebejus to the overall populations in the Bay.
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This Article does not have an abstract.
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Spatial data mining recently emerges from a number of real applications, such as real-estate marketing, urban planning, weather forecasting, medical image analysis, road traffic accident analysis, etc. It demands for efficient solutions for many new, expensive, and complicated problems. In this paper, we investigate the problem of evaluating the top k distinguished “features” for a “cluster” based on weighted proximity relationships between the cluster and features. We measure proximity in an average fashion to address possible nonuniform data distribution in a cluster. Combining a standard multi-step paradigm with new lower and upper proximity bounds, we presented an efficient algorithm to solve the problem. The algorithm is implemented in several different modes. Our experiment results not only give a comparison among them but also illustrate the efficiency of the algorithm.
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This article focuses on the empirical domain of the solidarity uses of certain insults in different varieties of French (standard, Quebec, Burgundy) from diachronic and synchronic points of view. Solidarity uses refers to the usage of axiological terms as terms of endearment to mark social proximity between subjects. This value is signalled by morphosyntactic, prosodic and mimeo-gestural features indicating the speaker's disposition towards the addressee. These psychological and social parameters conspire to attenuate the axiological term's argumentative program, which however can never be entirely evacuated. This argumentative program is nevertheless subordinated to pragmatics, which remains necessary in order to evaluate the extent to which the conventional lexical meaning is maintained in these uses. The attenuation of conventional meaning under solidarity uses shows the relevance of relational and attitudinal notions for the negotiation of meaning. It further establishes that at least in some cases, the analysis of linguistic interpretation require a multidisciplinary approach, most specifically where the relation between Semantics and Pragmatics is concerned.