Browsing by Author "Teodoro, M. F."
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- Forward-Backward Differential Equations: Approximation of Small SolutionsPublication . Teodoro, M. F.; Lima, P. M.; Ford, N. J.; Lumb, P. M.In the context of physics, economic dynamics, nance, optimal control, biology and other applied sciences, many mathematical models contain mixed type functional differential equations (MTFDEs), equations with both delayed and advanced arguments. Knowing from the analysis of delay di erential equations (DDEs) that the evaluation of small solutions (that decay faster than any exponential) often leads to computational problems (degeneracy), we investigate this subject in the case of MTFDEs. Some computations have been carried out and are presented here, concerning the linear nonautonomous case. We continue this work and extend the investigation to other problems.
- Preliminary Study of Contact Modelling the Interface between User Skin and Wearable EquipmentPublication . Teodoro, M. F.; Silva, Paula; Figueiredo-Pina, CélioFor a suitable development of wearable equipment, it is important to take in consideration comfort issues, and the simulation of the contact between is the adequate tool. To simulate the contact a preliminary study an empirical models were developed using non-linear fitting. The data was collected using compression and decompression tests using different indenter’s diameters in one subject.
- Relating air Pollution and Respiratory Diseases OccurrencesPublication . Teodoro, M. F.; Garcia, J. N.; Coelho, Luis Manuel Rodrigues; Carvalho, M. G.In this article we study the impact of air pollution on children's health in Portugal. In particular, we focus our attention on the city of Barreiro. We use the general linear methods (GLM), taking advantage of all the ease of handling and analyzing data in order to relate air quality and health. We relate levels of air pollution and incidence of entries from children with symptoms of respiratory problems in the pediatric urgency service at the hospital of Barreiro. It was not easy to obtain clear and unambiguous relations in particle dispersion, air quality and health. A set of models are estimated by GLM and validated using adequate tests and residual analysis. At the end of this process, we combine the best models. The work is still going on.