Ontologia empresarial do modelo de referência MPS para software (MR-MPS-SW) com foco nos níveis G e F

Pós-graduação em Ciência da Computação - IBILCE

Desenvolvimento de uma ontologia para apoiar a adoção do modelo MPS para software

O principal objetivo deste artigo é contribuir com a adoção do modelo de referência MPS para Software (MPS-SW). Para isso, é proposta uma ontologia dos níveis G e F do modelo, visando apoiar a compreensão e implementação desses níveis. O modelo MPS-SW é adequado a micro, pequenas e médias empresas (mPME), assim como a empresas de grande porte. A proposta pretende mitigar os investimentos técnicos e financeiros na implantação e treinamento do modelo, principalmente nas mPME. Neste contexto, este artigo apresenta a metodologia utilizada para o desenvolvimento da ontologia, com a inclusão de conhecimentos de especialistas no modelo, conceitos do PMBOK (Project Management Body of Knowledge) e indicadores do BSC (Balanced Scorecard). A partir de testes centrados no usuário, foi gerada uma versão beta da ontologia, que está disponível em repositórios livres e gratuitos.

Mapeamento de ontologias empresariais para modelos de processos de negócio em BPMN, com aplicação em processos de software

Pós-graduação em Ciência da Computação - IBILCE

Aprendizagem de máquina para análise de indicadores na engenharia de software

Indicadores de desempenho são importantes recursos para a gestão da qualidade no desenvolvimento de software. O volume de dados produzido por esses indicadores tende a aumentar significativamente com o tempo de monitoração, dificultando análises e tomadas de decisão. As bases históricas tornam-se complexas, considerando a quantidade de dados monitorados e a diversidade de indicadores (diferentes tipos, granularidade e frequência). Este trabalho propõe o uso de técnicas de aprendizagem de máquina para análise dessas bases, utilizando redes neurais artificiais combinadas com técnicas de visualização de informação. É utilizado um modelo de indicadores, com base nos processos do modelo de referência MPS para Software (MPS-SW), agrupados segundo as perspectivas estratégicas do Balanced Scorecard (BSC).

Evidencia sobre la eficacia de cannabinoides en el dolor neuropático oncológico

Contexto: La eficacia de los cannabinoides en el dolor neuropático es desconocida. El control del dolor es determinante en los pacientes ya que genera un impacto negativo en la calidad de vida de los pacientes. Objetivo: El presente trabajo pretende demostrar la evidencia sobre la eficacia de los medicamentos cannabinoides en el control del dolor neuropático oncológico, mediante la evaluación de la literatura disponible. Metodología: Se realizó una revisión sistemática de literatura incluyendo estudios experimentales, observacionales y revisiones sistemáticas en un periodo de 15 años. Se incluyeron todos los estudios desde el años 2000 con evidencia IB según la escala de evidencia de Oxford. Resultados: Cuatro estudios cumplieron criterios para su inclusión, sin embargo la evidencia es baja y no permite recomendar o descartar los cannabinoides como terapia coadyuvante en control del dolor neuropático oncológico. La combinación de THC/CDB (Sativex®) parece ser un medicamento seguro pues no se reportaron muertes asociadas a su uso, sin embargo la presentación de eventos adversos a nivel gastrointestinal y neurológico podría aumentar el riesgo de interacciones medicamentosas y tener un impacto negativo en la calidad de vida de los pacientes oncológicos. Conclusiones: No hay suficiente literatura y la evidencia no es suficiente para recomendar o descartar el uso de los cannabinoides en dolor neuropático oncológico. Futuros estudios deben realizarse para analizar el beneficio de estos medicamentos. Aunque ética y socialmente hay resistencia para el uso de los cannabinoides, actualmente hay una gran discusión política en el mundo y en Colombia para su aceptación como terapia en el control del dolor.

Initial CFD investigation of an MR fluid in a bicycle ergometer

A bicycle ergometer is a scientific device used by exercise physiologists which attempts to mimic on-road cycling characteristics such as foot technique, EMG activity, VO2, VCO2 and rider cardiology in a laboratory environment. Presently there are no known useful scientific ergometers that mimic these characteristics and are able to provide a satisfactory controlled resistance that is independent of speed. Previous research has suggested the use of a Magneto-Rheological (MR) Fluid as part of the ergometer design, as when used in a rotary brake application it is able to be controlled electronically to increase resistance instantly and independent of speed. In the target application, MR fluids are subject to immense tribological wear and temperature during viscous shearing, and will eventually show some degree of deterioration which is usually manifested as an increase in off-state viscosity. It is not known exactly how the fluid fails, however the amount of deterioration is related to the shear rate, temperature and duration and directly related to the power dissipation. Currently, there is very little literature that investigates the flow and thermal characteristics of MR fluid tribology using CFD. In this paper, we present initial work that aims to improve understanding of MR fluid wear via CFD modelling using Fluent, and results from the model are compared with those obtained from a experimental test rig of an MR fluid-based bicycle ergometer.

Introducing Mr Perky : subverting the fantasy trope of immortality in contemporary speculative fiction

The Tide Lords series of fantasy novels set out to examine the issue of immortality. Its purpose was to look at the desirability of immortality, specifically why people actively seek it. It was meant to examine the practicality of immortality, specifically — having got there, what does one do to pass the time with eternity to fill? I also wished to examine the notion of true immortality — immortals who could not be killed. What I did not anticipate when embarking upon this series, and what did not become apparent until after the series had been sold to two major publishing houses in Australia and the US, was the strength of the immortality tropes. This series was intended to fly in the face of these tropes, but confronted with the reality of such a work, the Australian publishers baulked at the ideas presented, requesting the series be re-written with the tropes taken into consideration. They wanted immortals who could die, mortals who wanted to be immortal. And a hero with a sense of humour. This exegesis aims to explore where these tropes originated. It will also discuss the ways I negotiated a way around the tropes, and was eventually able to please the publishers by appearing to adhere to the tropes, while still staying true to the story I wanted to tell. As such, this discussion is, in part, an analysis of how an author negotiates the tensions around writing within a genre while trying to innovate within it.

Hysteresis modeling of Magneto-Rheological (MR) fluid damper by self tuning fuzzy control

Magneto-rheological (MR) fluid damper is a semi-active control device that has recently received more attention by the vibration control community. But inherent nonlinear hysteresis character of magneto-rheological fluid dampers is one of the challenging aspects for utilizing this device to achieve high system performance. So the development of accurate model is necessary to take the advantage their unique characteristics. Research by others [3] has shown that a system of nonlinear differential equations can successfully be used to describe the hysteresis behavior of the MR damper. The focus of this paper is to develop an alternative method for modeling a damper in the form of centre average fuzzy interference system, where back propagation learning rules are used to adjust the weight of network. The inputs for the model are used from the experimental data. The resulting fuzzy interference system is satisfactorily represents the behavior of the MR fluid damper with reduced computational requirements. Use of the neuro-fuzzy model increases the feasibility of real time simulation.

Comparison of standard image segmentation methods for segmentation of brain tumors from 2D MR images

In the analysis of medical images for computer-aided diagnosis and therapy, segmentation is often required as a preliminary step. Medical image segmentation is a complex and challenging task due to the complex nature of the images. The brain has a particularly complicated structure and its precise segmentation is very important for detecting tumors, edema, and necrotic tissues in order to prescribe appropriate therapy. Magnetic Resonance Imaging is an important diagnostic imaging technique utilized for early detection of abnormal changes in tissues and organs. It possesses good contrast resolution for different tissues and is, thus, preferred over Computerized Tomography for brain study. Therefore, the majority of research in medical image segmentation concerns MR images. As the core juncture of this research a set of MR images have been segmented using standard image segmentation techniques to isolate a brain tumor from the other regions of the brain. Subsequently the resultant images from the different segmentation techniques were compared with each other and analyzed by professional radiologists to find the segmentation technique which is the most accurate. Experimental results show that the Otsu’s thresholding method is the most suitable image segmentation method to segment a brain tumor from a Magnetic Resonance Image.

The impact of rhetoric and reality on community anticipation of risk in the development of multi-purpose services (MPS) : A grounded theory study

better health service.Conclusion:This research provides an insight into the perceptions of the rhetoric and reality of community member involvement in the process of developing multi-purpose services. It revealed a grounded theory in which fear and trust were intrinsic to a process of changing from a traditional hospital service to the acceptance of a new model of health care provided at a multi-purpose service.

Modeling of a magneto-rheological (MR) fluid damper using a self tuning fuzzy mechanism

A magneto-rheological (MR) fluid damper is a semi-active control device that has recently begun to receive more attention in the vibration control community. However, the inherent nonlinear nature of the MR fluid damper makes it challenging to use this device to achieve high damping control system performance. Therefore the development of an accurate modeling method for a MR fluid damper is necessary to take advantage of its unique characteristics. Our goal was to develop an alternative method for modeling a MR fluid damper by using a self tuning fuzzy (STF) method based on neural technique. The behavior of the researched damper is directly estimated through a fuzzy mapping system. In order to improve the accuracy of the STF model, a back propagation and a gradient descent method are used to train online the fuzzy parameters to minimize the model error function. A series of simulations had been done to validate the effectiveness of the suggested modeling method when compared with the data measured from experiments on a test rig with a researched MR fluid damper. Finally, modeling results show that the proposed STF interference system trained online by using neural technique could describe well the behavior of the MR fluid damper without need of calculation time for generating the model parameters.

Reduced variance in monozygous twins for multiple MR parameters : implications for disease studies and the genetic basis of brain structure

Twin studies offer the opportunity to determine the relative contribution of genes versus environment in traits of interest. Here, we investigate the extent to which variance in brain structure is reduced in monozygous twins with identical genetic make-up. We investigate whether using twins as compared to a control population reduces variability in a number of common magnetic resonance (MR) structural measures, and we investigate the location of areas under major genetic influences. This is fundamental to understanding the benefit of using twins in studies where structure is the phenotype of interest. Twenty-three pairs of healthy MZ twins were compared to matched control pairs. Volume, T2 and diffusion MR imaging were performed as well as spectroscopy (MRS). Images were compared using (i) global measures of standard deviation and effect size, (ii) voxel-based analysis of similarity and (iii) intra-pair correlation. Global measures indicated a consistent increase in structural similarity in twins. The voxel-based and correlation analyses indicated a widespread pattern of increased similarity in twin pairs, particularly in frontal and temporal regions. The areas of increased similarity were most widespread for the diffusion trace and least widespread for T2. MRS showed consistent reduction in metabolite variation that was significant in the temporal lobe N-acetylaspartate (NAA). This study has shown the distribution and magnitude of reduced variability in brain volume, diffusion, T2 and metabolites in twins. The data suggest that evaluation of twins discordant for disease is indeed a valid way to attribute genetic or environmental influences to observed abnormalities in patients since evidence is provided for the underlying assumption of decreased variability in twins.