Interface HL7 para observation patterns

Com a generaliza����o das tecnologias de informa����o e comunica����o na ��rea da sa��de, a monitoriza����o remota de pacientes, a partir de dispositivos m��veis, �� uma realidade que contribui para uma melhor qualidade de vida dos pacientes. Mas, n��o s��o s�� os pacientes que ganham com a introdu����o destas tecnologias, tamb��m os profissionais de sa��de e os hospitais retiram as suas vantagens. Os profissionais de sa��de s��o munidos de uma ferramenta m��vel de monitoriza����o permanente de sinais vitais, aumentando desta forma a liga����o m��dico-paciente. Relativamente aos hospitais, estes v��em os custos de manuten����o reduzirem, em virtude da possibilidade dos pacientes puderem ser monitorizados a partir dos seus lares. Neste projecto pretende-se identificar mecanismos que possibilitem responder de forma eficaz �� necessidade de partilha de informa����o, nomeadamente protocolos de comunica����o, seguran��a e sistemas de integra����o. Foi projectado um prot��tipo, constitu��do por um middleware e uma aplica����o cliente m��vel, onde o middleware tem como miss��o garantir a interoperabilidade entre um servidor HL7 e a aplica����o cliente, utilizada pelo profissional de sa��de. A normaliza����o da informa����o m��dica trocada entre o servidor HL7 e o middleware obedece �� norma internacional HL7.

Evaluation of atmospheric deposition and patterns of polycyclic aromatic hydrocarbons in fa��ades of historic monuments of Oporto (Portugal)

Atmospheric pollution by motor vehicles is considered a relevant source of damage to architectural heritage. Thus the aim of this work was to assess the atmospheric depositions and patterns of polycyclic aromatic hydrocarbons (PAHs) in fa��ades of historical monuments. Eighteen PAHs (16 PAHs considered by US EPA as priority pollutants, dibenzo[a,l]pyrene and benzo[j]fluoranthene) were determined in thin black layers collected from fa��ades of two historical monuments: Hospital Santo Ant��nio and Lapa Church (Oporto, Portugal). Scanning electron microscopy (SEM) was used for morphological and elemental characterisation of thin black layers; PAHs were quantified by microwave-assisted extraction combined with liquid chromatography (MAE-LC). The thickness of thin black layers were 80���110 ��m and they contained significant levels of iron, sulfur, calcium and phosphorus. Total concentrations of 18 PAHs ranged from 7.74 to 147.92 ng/g (mean of 45.52 ng/g) in thin black layers of Hospital Santo Ant��nio, giving a range three times lower than at Lapa Church (5.44��� 429.26 ng/g; mean of 110.25 ng/g); four to six rings compounds accounted at both monuments approximately for 80���85% of ��PAHs. The diagnostic ratios showed that traffic emissions were significant source of PAHs in thin black layers. Composition profiles of PAHs in thin black layers of both monuments were similar to those of ambient air, thus showing that air pollution has a significant impact on the conditions and stone decay of historical building fa��ades. The obtained results confirm that historical monuments in urban areas act as passive repositories for air pollutants present in the surrounding atmosphere.

Seasonal patterns of polycyclic aromatic hydrocarbons in digestive gland and arm of octopus (Octopus vulgaris) from the Northwest Atlantic

Among organic pollutants existing in coastal areas, polycyclic aromatic hydrocarbons (PAHs) are of great concern due to their ubiquity and carcinogenic potential. The aim of this study was to evaluate the seasonal patterns of PAHs in the digestive gland and arm of the common octopus (Octopus vulgaris) from the Northwest Atlantic Portuguese coast. In the different seasons, 18 PAHs were determined and the detoxification capacity of the species was evaluated. Ethoxyresorufin O-deethylase (EROD) and ethoxycoumarin O-deethylase (ECOD) activities were measured to assess phase I biotransformation capacity. Individual PAH ratios were used for major source (pyrolytic/petrogenic) analysis. Risks for human consumption were determined by the total toxicity equivalence approach. Generally, low levels of PAHs were detected in the digestive gland and in the arm of octopus, with a predominance of low molecular over high molecular weight compounds. PAHs exhibited seasonality in the concentrations detected and in their main emission sources. In the digestive gland, the highest total PAH levels were observed in autumn possibly related to fat availability in the ecosystem and food intake. The lack of PAH elimination observed in the digestive gland after captivity could be possibly associated to a low biotransformation capacity, consistent with the negligible/undetected levels of EROD and ECOD activity in the different seasons. The emission sources of PAHs found in the digestive gland varied from a petrogenic profile observed in winter to a pyrolytic pattern in spring. In the arm, the highest PAH contents were observed in June; nevertheless, levels were always below the regulatory limits established for food consumption. The carcinogenic potential calculated for all the sampling periods in the arm were markedly lower than the ones found in various aquatic species from different marine environments. The results presented in this study give relevant baseline data for environmental monitoring of organic pollution in coastal areas.

An integer programming framework for sequencing cutting patterns based on interval graph completion

We derived a framework in integer programming, based on the properties of a linear ordering of the vertices in interval graphs, that acts as an edge completion model for obtaining interval graphs. This model can be applied to problems of sequencing cutting patterns, namely the minimization of open stacks problem (MOSP). By making small modifications in the objective function and using only some of the inequalities, the MOSP model is applied to another pattern sequencing problem that aims to minimize, not only the number of stacks, but also the order spread (the minimization of the stack occupation problem), and the model is tested.

Sequencing cutting patterns with colored interval graphs

The problem addressed here originates in the industry of flat glass cutting and wood panel sawing, where smaller items are cut from larger items accordingly to predefined cutting patterns. In this type of industry the smaller pieces that are cut from the patterns are piled around the machine in stacks according to the size of the pieces, which are moved to the warehouse only when all items of the same size have been cut. If the cutting machine can process only one pattern at a time, and the workspace is limited, it is desirable to set the sequence in which the cutting patterns are processed in a way to minimize the maximum number of open stacks around the machine. This problem is known in literature as the minimization of open stacks (MOSP). To find the best sequence of the cutting patterns, we propose an integer programming model, based on interval graphs, that searches for an appropriate edge completion of the given graph of the problem, while defining a suitable coloring of its vertices.

Engineering Temporal and Spatial Aspects in OWL using Patterns

WWW is a huge, open, heterogeneous system, however its contents data is mainly human oriented. The Semantic Web needs to assure that data is readable and ���understandable��� to intelligent software agents, though the use of explicit and formal semantics. Ontologies constitute a privileged artifact for capturing the semantic of the WWW data. Temporal and spatial dimensions are transversal to the generality of knowledge domains and therefore are fundamental for the reasoning process of software agents. Representing temporal/spatial evolution of concepts and their relations in OWL (W3C standard for ontologies) it is not straightforward. Although proposed several strategies to tackle this problem but there is still no formal and standard approach. This work main goal consists of development of methods/tools to support the engineering of temporal and spatial aspects in intelligent systems through the use of OWL ontologies. An existing method for ontology engineering, Fonte was used as framework for the development of this work. As main contributions of this work Fonte was re-engineered in order to: i) support the spatial dimension; ii) work with OWL Ontologies; iii) and support the application of Ontology Design Patterns. Finally, the capabilities of the proposed approach were demonstrated by engineering time and space in a demo ontology about football.

Bipedal Locomotion: A Fractional CPG for Generating Patterns

Proceedings of the 10th Conference on Dynamical Systems Theory and Applications

An automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference

In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate.

User Profiling and Knowledge Extraction For Tourism

O sector do turismo �� uma ��rea francamente em crescimento em Portugal e que tem desenvolvido a sua divulga����o e estrat��gia de marketing. Contudo, apenas se prende com indicadores de desempenho e de oferta instalada (n��mero de quartos, hot��is, voos, estadias), deixando os indicadores estat��sticos em segundo plano. De acordo com o ��� Travel & tourism Competitiveness Report 2013���, do World Economic Forum, classifica Portugal em 72�� lugar no que respeita �� qualidade e cobertura da informa����o estat��stica, dispon��vel para o sector do Turismo. Refira-se que Espanha ocupa o 3�� lugar. Uma estrat��gia de mercado, sem base anal��tica, que sustente um quadro de orienta����es espec��fico e objetivo, com relevante conhecimento dos mercados alvo, dificilmente �� compreens��vel ou at�� mesmo materializ��vel. A implementa����o de uma estrutura de Business Intelligence que permita a realiza����o de um levantamento e tratamento de dados que possibilite relacionar e sustentar os resultados obtidos no sector do turismo revela-se fundamental e crucial, para que sejam criadas estrat��gias de mercado. Essas estrat��gias s��o realizadas a partir da informa����o dos turistas que nos visitam, e dos potenciais turistas, para que possam ser cativados no futuro. A an��lise das caracter��sticas e dos padr��es comportamentais dos turistas permite definir perfis distintos e assim detetar as tend��ncias de mercado, de forma a promover a oferta dos produtos e servi��os mais adequados. O conhecimento obtido permite, por um lado criar e disponibilizar os produtos mais atrativos para oferecer aos turistas e por outro inform��-los, de uma forma direcionada, da exist��ncia desses produtos. Assim, a associa����o de uma recomenda����o personalizada que, com base no conhecimento de perfis do turista proceda ao aconselhamento dos melhores produtos, revela-se como uma ferramenta essencial na capta����o e expans��o de mercado.