Browsing by Issue Date, starting with "2015-06-05"
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- Quinoxaline, its derivatives and applications: A state of the art reviewPublication . Almeida, Joana; Pessoa, Ana M.; Cordeiro, M. Natália D. S.; Fernandes, Rúben; Prudêncio, Cristina; Noronha, João Paulo; Vieira, MónicaQuinoxaline derivatives are an important class of heterocycle compounds, where N replaces some carbon atoms in the ring of naphthalene. Its molecular formula is C8H6N2, formed by the fusion of two aromatic rings, benzene and pyrazine. It is rare in natural state, but their synthesis is easy to perform. In this review the State of the Art will be presented, which includes a summary of the progress made over the past years in the knowledge of the structure and mechanism of the quinoxaline and quinoxaline derivatives, associated medical and biomedical value as well as industrial value. Modifying quinoxaline structure it is possible to obtain a wide variety of biomedical applications, namely antimicrobial activities and chronic and metabolic diseases treatment.
- Relatório médico em imagiologia: estudo de práticas de criação e usoPublication . Felgueiras, Nídia Maria Lopes; Terra, Ana LúciaConsiderando como objeto de estudo o Relatório Médico em imagiologia, esta investigação encontra-se situada entre duas áreas do saber, a Ciência de Informação e as Ciências da Saúde (mais designadamente no âmbito da imagiologia). O Relatório Médico em imagiologia é um documento textual, físico e/ou digital, sigiloso, com caráter legal, que compreende informação médica relativa a um (ou vários) exame(s) médico(s) de um utente e que têm como principal objetivo fornecer dados/indicadores para o diagnóstico médico especializado. Com esta investigação, pretende-se posicionar o objeto de estudo, documentar a sua génese intelectual e material, refletir sobre todo o fluxo informacional do documento, revelar a importância das suas fases de produção e de normalização. Foram realizados levantamentos bibliográficos e abordagens reflexivas sobre a importância e produção do relatório médico, que depois foram cruzados com estudos de caso baseado em diferentes instituições, onde a experiência profissional do médico (produtor intelectual) e datilógrafo (produtor material) nos elucida sobre a temática apresentada e nos permitiu entender práticas e fluxos informacionais. No final do estudo analisamos o papel do datilógrafo como produtor material do relatório médico, salientando-se a sua consciência ética e profissional e sugerindo um conjunto de boas práticas no âmbito da elaboração e normalização de relatórios médicos em imagiologia.
- An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computingPublication . Kumar, Neeraj; Singh, Jaskaran Preet; Bali, Rasmeet S.; Misra, Sudip; Ullah, SanaIn recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.