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Spanish Corpora of tweets about COVID-19 vaccination for automatic stance detec...

Yáñez Martínez, Rubén; Blanco, Guillermo; Lourenço, Anália Maria Garcia

Available online 30 January 2023; The paper presents new annotated corpora for performing stance detection on Spanish Twitter data, most notably Health-related tweets. The objectives of this research are threefold: (1) to develop a manually annotated benchmark corpus for emotion recognition taking into account different variants of Spanish in social posts; (2) to evaluate the efficiency of semi-supervised model...


A multilayered graph-based framework to explore behavioural phenomena in social...

Blanco, Guillermo; Lourenço, Anália Maria Garcia

Objective Social media is part of current health communications. This research aims to delve into the effects of social contagion, biased assimilation, and homophily in building and changing health opinions on social media. Materials and Methods Conversations about COVID-19 vaccination on English and Spanish Twitter are the case studies. A new multilayered graph-based framework supports the integrated analysis ...


Boosting biomedical document classification through the use of domain entity re...

Pérez-Pérez, Martín; Ferreira, Tânia; Lourenço, Anália Maria Garcia; Igrejas, Gilberto; Fdez-Riverola, Florentino

"Available online 11 November 2021"; The increasing number of scientific research documents published keeps growing at an unprecedented rate, making it increasingly difficult to access practical information within a target domain. This situation is motivating a growing interest in applying text mining techniques for the automatic processing of text resources to structure the information that helps researchers t...


Understanding the social evolution of the Java community in Stack Overflow: a 1...

Blanco, Guillermo; Pérez-López, Roi; Fdez-Riverola, Florentino; Lourenço, Anália Maria Garcia

Supplementary material related to this article can be foundonline at https://doi.org/10.1016/j.future.2019.12.021 ; "Available online 17 December 2019"; Today, Social Media is a key information source for a wide range of domains as a means to gain a better understanding of information flows and user communities. This work introduces a methodology combining machine learning and graph mining approaches to address...


Las proteínas extracelulares de Lactobacillus acidophilus DSM 20079t como poten...

Blanco-Míguez, Aitor; Hidalgo-Cantabrana, Claudio; Moro-García, Marco Antonio; Fdez-Riverola, Florentino; Oliván, Mamen; Royo, Luis; Riestra, Sabino

El uso de probióticos o compuestos bacterianos se ha propuesto como un mecanismo para modular la respuesta inmune del hospedador y remodelar el microbioma humano. Sin embargo, actualmente existe una falta de información sobre las vías moleculares inducidas por las bacterias probióticas, o sobre la interacción entre los probióticos y el sistema inmunológico. Lactobacillus es un género del filo Firmicutes que inc...


Exploring anti-quorum sensing and anti-virulence based strategies to fight Cand...

Graínha, Tânia Raquel Rodrigues; Jorge, Paula Alexandra Silva; Pérez-Pérez, Martín; Rodríguez, Gael Pérez; Pereira, Maria Olívia

The complex virulence attributes of Candida albicans are an attractive target to exploit in the development of new antifungals and anti-virulence strategies to combat C. albicans infections. Particularly, quorum-sensing (QS) has been reported as critical for virulence regulation in C. albicans. This work presents two knowledge networks with up-to-date information about QS regulation and experimentally tested an...


Agent-based model of diffusion of N-acyl homoserine lactones in a multicellular...

Pérez-Rodríguez, Gael; Dias, Sónia; Pérez-Pérez, Martín; Fdez-Riverola, Florentino; Azevedo, Nuno Filipe Ribeiro Pinto Oliveira

Experimental incapacity to track microbemicrobe interactions in structures like biofilms, and the complexity inherent to the mathematical modelling of those interactions, raises the need for feasible, alternative modelling approaches. This work proposes an agent-based representation of the diffusion of N-acyl homoserine lactones (AHL) in a multicellular environment formed by Pseudomonas aeruginosa and Candida a...


Insights into Pseudomonas aeruginosa quorum sensing therapeutics through text- ...

Jorge, Paula Alexandra Silva; Pérez-Pérez, Martín; Rodríguez, Gael Pérez; Pereira, Maria Olívia; Lourenço, Anália Maria Garcia

The unceasing emergence of antibiotic-resistant strains and resilient biofilm-related infections is pressing researchers to develop novel antimicrobial strategies. Quorum sensing (QS) is a key communication mechanism that holds promise as target to control clinical pathogens. QS allows bacteria to regulate gene expression, and thus many physiological activities, such as virulence, motility, and biofilm formatio...


High performance computing for three-dimensional agent-based molecular models

Pérez-Rodríguez, G.; Pérez-Pérez, M.; Fdez-Riverola, F.; Lourenço, Anália Maria Garcia

Agent-based simulations are increasingly popular in exploring and understanding cellular systems, but the natural complexity of these systems and the desire to grasp different modelling levels demand cost-effective simulation strategies and tools. In this context, the present paper introduces novel sequential and distributed approaches for the three-dimensional agent-based simulation of individual molecules in ...


Insights into Pseudomonas aeruginosa and Candida albicans consortia challenged ...

Grainha, Tânia; Rodrigues, Maria Elisa Costa; Lopes, Susana Patrícia; Lourenço, Anália Maria Garcia; Henriques, Mariana; Pereira, Maria Olívia

Ventilator associated pneumonia (VAP), an usual nosocomial infection in the intensive care units and the most common in mechanically ventilated patients, is a serious problem due to high mortality and morbidity rates associated. The presence of the endotracheal tube is the principal risk factor for developing VAP because its surface is prone to microbial adhesion and the formation of biofilms, deserving thus hi...


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