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Showing papers by "Bruno de Sousa published in 2023"

Journal Article•DOI•
Structural study and antimicrobial and wound healing effects of lectin from Solieria filiformis (Kützing) P.W.Gabrielson.

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Renata Pinheiro Chaves, Alexandre Lopes Andrade, Aryane de Azevedo Pinheiro, FM Da Silva, I. Neto, Eduardo Henrique Salviano Bezerra, Jade Oliveira Abreu, Fátima Cristiane Teles de Carvalho, Oscarina Viana de Sousa, Bruno de Sousa, B. A. M. da Rocha, André Luis Coelho da Silva, Luiz Gonzaga do Nascimento Neto, Mayron Alves de Vasconcelos, Edson Holanda Teixeira, Rômulo Farias Carneiro, Alexandre Holanda Sampaio, Celso Shiniti Nagano 
08 Jun 2023-Biochimie
TL;DR: In this article , the SfL-1 isoform from the marine red algae Solieria filiformis was produced in recombinant form (rSfL1) and showed hemagglutinating activity and inhibition similar to native Sl1.
Proceedings Article•DOI•
SALEM: Service Fairness in Wireless Mesh Environments

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Henrique Carvalho Silva, Noé Paulo Lopes Godinho, Bruno de Sousa
08 Jan 2023
TL;DR: In this paper , a multicommodity flow heuristic, based on a Mixed Integer Linear Programming (MILP) formulation, is implemented in the ONOS controller to enable a fair utilization of links in a topology replicating a real-world scenario.
Abstract: The utilisation of resources from a fairness perspective has been an extensively researched topic, either to enhance the quality of services or to allow spectrum sharing, among others. One method to define forwarding routes is through flow algorithms, which aim to find optimal paths between nodes where capacity constraints are of interest. SALEM is an approach to enable fairness in services competing for resources in wireless mesh environments. SALEM implements a multicommodity flow heuristic, based on a Mixed Integer Linear Programming (MILP) formulation, to consider fairness in reliability, delay and energy objectives and is constrained by bandwidth and link usage criteria. SALEM is implemented in the ONOS controller to enable a fair utilisation of links in a topology replicating a real-world scenario. Within a time complexity that is directly related to the topology, the number of users and available services, the results of SALEM demonstrate its feasibility to run in production-ready networks with minimal overhead.