Pinho, Fernando F. S., and Paulo B. Lourenço. "
Paredes."
Caderno de síntese tecnológica. Reabilitação de edifícios. ISBN 978-989-20-6183-2. Lisboa: Plataforma Tecnológica Portuguesa da Construção, 2015. 47.
Coelho, Helena, T. Matsushita, G. Artigas, H. Hinou, FJ Cañada, R. Lo-Man, C. Leclerc, E. J. Cabrita, J. Jiménez-Barbero, S. - I. Nishimura, F. Garcia-Martín, and F. Marcelo. "
The Quest for Anticancer Vaccines: Deciphering the Fine-Epitope Specificity of Cancer-Related Monoclonal Antibodies by Combining Microarray Screening and Saturation Transfer Difference NMR."
J. Am. Chem. Soc.. 137 (2015): 12438-12441.
Silva, João André, Tiago Vale, Ricardo Dias, Hervé Paulino, and João M. Lourenço Supporting Multiple Data Replication Models in Distributed Transactional Memory. ICDCN 2015. Goa, India: ACM, 2015.
AbstractDistributed transactional memory (DTM) presents itself as a highly expressive and programmer friendly model for con- currency control in distributed programming. Current DTM systems make use of both data distribution and replication as a way of providing scalability and fault tolerance, but both techniques have advantages and drawbacks. As such, each one is suitable for different target applications, and deployment environments. In this paper we address the support of different data replication models in DTM. To that end we propose ReDstm, a modular and non-intrusive framework for DTM, that supports multiple data replication models in a general purpose programming language (Java). We show its application in the implementation of distributed software transactional memories with different replication models, and evaluate the framework via a set of well-known benchmarks, analysing the impact of the different replication models on memory usage and transaction throughput.
Silva, João A., Tiago M. Vale, Ricardo J. Dias, Hervé Paulino, and João M. Lourenço. "
Supporting Multiple Data Replication Models in Distributed Transactional Memory."
Proceedings of the 2015 International Conference on Distributed Computing and Networking. ICDCN '15. Goa, India: ACM, 2015. 11:1-11:10.
AbstractDistributed transactional memory (DTM) presents itself as a highly expressive and programmer friendly model for concurrency control in distributed programming. Current DTM systems make use of both data distribution and replication as a way of providing scalability and fault tolerance, but both techniques have advantages and drawbacks. As such, each one is suitable for different target applications, and deployment environments. In this paper we address the support of different data replication models in DTM. To that end we propose ReDstm, a modular and non-intrusive framework for DTM, that supports multiple data replication models in a general purpose programming language (Java). We show its application in the implementation of distributed software transactional memories with different replication models, and evaluate the framework via a set of well-known benchmarks, analysing the impact of the different replication models on memory usage and transaction throughput.
Gonçalves, L., Z. Santos, Miguel Amado, I. Craveiro, J. Cabral, Lapão L.V., A. P. Delgado, A. Correia, D. Alves, and R. Simões. "
Urban Planning and Health Inequities: looking in a small-scale in a City of Cape Verde."
PLOSone. 23/11/2015.DOI: 10.1371/journal.pone.0142955 (2015).
Silva, Tiago, Maria Loja, Nuno M. M. Maia, and Joaquim Barbosa A hybrid procedure to identify the optimal stiffness coefficients of elastically restrained beams. Vol. 25. International Journal of Applied Mathematics and Computer Science, 25.2., 2015.
AbstractThe formulation of a bending vibration problem of an elastically restrained Bernoulli-Euler beam carrying a finite number of concentrated elements along its length is presented. In this study, the authors exploit the application of the differential evolution optimization technique to identify the torsional stiffness properties of the elastic supports of a Bernoulli-Euler beam. This hybrid strategy allows the determination of the natural frequencies and mode shapes of continuous beams, taking into account the effect of attached concentrated masses and rotational inertias, followed by a reconciliation step between the theoretical model results and the experimental ones. The proposed optimal identification of the elastic support parameters is computationally demanding if the exact eigenproblem solving is considered. Hence, the use of a Gaussian process regression as a meta-model is addressed. An experimental application is used in order to assess the accuracy of the estimated parameters throughout the comparison of the experimentally obtained natural frequency, from impact tests, and the correspondent computed eigenfrequency.