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Evidence of conditioned behavior in amoebae
(Nature, 2019-08-15)
Associative memory is the main type of learning by which complex organisms endowed with evolved nervous systems respond efficiently to certain environmental stimuli. It has been found in different multicellular species, ...
Supervised Deep Learning with Finite Element simulations for damage identification in bridges
(Elsevier, 2022-04-15)
[EN] This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep ...
Bearing Assessment Tool for Longitudinal Bridge Performance
(Springer, 2020-11)
This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection ...
Modeling and Calibration for Some Stochastic Differential Models
(MDPI, 2022-11-28)
In many scientific fields, the dynamics of the system are often known, and the main challenge is to estimate the parameters that model the behavior of the system. The question then arises whether one can use experimental ...
p-Basilica Groups
(Springer, 2022)
We consider a generalisation of the Basilica group to all odd primes: the p-Basilica groups acting on the p-adic tree. We show that the p-Basilica groups have the p-congruence subgroup property but not the congruence ...
An integer programming model for obtaining cyclic quasi-difference matrices
(Elsevier, 2023)
Orthogonal arrays are of great importance in mathematical sciences. This paper analyses a certain practical
advantage of quasi-difference matrices over difference matrices to obtain orthogonal arrays with given
parameters. ...
Computational and Experimental Evaluation of the Immune Response of Neoantigens for Personalized Vaccine Design
(MDPI, 2023-05-19)
In the last few years, the importance of neoantigens in the development of personalized antitumor vaccines has increased remarkably. In order to study whether bioinformatic tools are effective in detecting neoantigens that ...
Impact of Delay on Stochastic Predator–Prey Models
(MDPI, 2023-06-12)
Ordinary differential equations (ODE) have long been an important tool for modelling and understanding the dynamics of many real systems. However, mathematical modelling in several areas of the life sciences requires the ...
Clinical prediction rules for adverse evolution in patients with COVID-19 by the Omicron variant
(Elsevier, 2023-05)
Objective
We identify factors related to SARS-CoV-2 infection linked to hospitalization, ICU admission, and mortality and develop clinical prediction rules.
Methods
Retrospective cohort study of 380,081 patients ...
GGS-groups over primary trees: branch structures
(Springer, 2023-04)
We study branch structures in Grigorchuk–Gupta–Sidki groups (GGS-groups) over primary trees, that is, regular rooted trees of degree pn for a prime p. Apart from a small set of exceptions for p=2, we prove that all these ...