2 resultados para Information access

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)


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IN BRAZIL, recent regulations require changes in private and public health systems to make special services available to deaf patients. in the present article, the researchers analyze the perceptions of 25 sign language using patients regarding this assistance. The researchers found communication difficulties between these patients and health services staff, as well as a culture clash and a harmful inability among the service providers to distinguish among the roles of companions, caretakers, and professional translator/interpreters. Thus, it became common for the patients to experience prejudice in the course of treatment and information exchange, damage to their autonomy, limits on their access to services, and reduced efficacy of therapy. The researchers conclude that many issues must be dealt with if such barriers to health access are to be overcome, in particular the worrying degree of exclusion of deaf patients from health care systems.

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This paper presents a new technique and two algorithms to bulk-load data into multi-way dynamic metric access methods, based on the covering radius of representative elements employed to organize data in hierarchical data structures. The proposed algorithms are sample-based, and they always build a valid and height-balanced tree. We compare the proposed algorithm with existing ones, showing the behavior to bulk-load data into the Slim-tree metric access method. After having identified the worst case of our first algorithm, we describe adequate counteractions in an elegant way creating the second algorithm. Experiments performed to evaluate their performance show that our bulk-loading methods build trees faster than the sequential insertion method regarding construction time, and that it also significantly improves search performance. (C) 2009 Elsevier B.V. All rights reserved.