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Now showing items 121-130 of 130
Testing a vaccine candidate against Hepatitis C virus designed by combinatorial optimization
(Nature, 2023)
This paper presents a new procedure for vaccine design against highly variable viruses such as Hepatitis C. The procedure uses an optimization algorithm to design vaccines that maximize the coverage of epitopes across ...
Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders
(Elsevier, 2023-11)
Floating offshore wind turbines (FOWTs) show promise in terms of energy production, availability, and sustainability, but remain unprofitable due to high maintenance costs. This work proposes a deep learning algorithm to ...
Lipidomics signature in post-COVID patient sera and its influence on the prolonged inflammatory response
(Elsevier, 2024-04)
Background
The ongoing issues with post-COVID conditions (PCC), where symptoms persist long after the initial infection, highlight the need for research into blood lipid changes in these patients. While most studies ...
Systemic cellular migration: The forces driving the directed locomotion movement of cells
(Oxford University Press, 2024-04)
Directional motility is an essential property of cells. Despite its enormous relevance in many fundamental physiological and pathological
processes, how cells control their locomotion movements remains an unresolved ...
Future electricity production at Mutriku Wave Energy Plant estimated from CMIP6 wave climate projections (2015–2100)
(Elsevier, 2024-01-01)
Renewable marine energy sources are rapidly developing worldwide. With numerous operational marine power
plants in existence, it is becoming increasingly important to explore their potential. Hence, this study aims ...
Future offshore wind energy evolution in the Bay of Biscay
(Elsevier, 2024-05)
A relevant point near the Biscay Marine Energy Platform (BiMEP) has been chosen and data from the ERA5 reanalysis and CMIP6 datasets in future SSP5-85 scenario (wind and wave data) have been used to analyse the energy ...
A Finite Element based Deep Learning solver for parametric PDEs
(Elsevier, 2022-03)
We introduce a dynamic Deep Learning (DL) architecture based on the Finite Element Method (FEM) to solve linear parametric Partial Differential Equations (PDEs). The connections between neurons in the architecture mimic ...
On quadrature rules for solving Partial Differential Equations using Neural Networks
(Elsevier, 2022-04)
Neural Networks have been widely used to solve Partial Differential Equations. These methods require to approximate definite integrals using quadrature rules. Here, we illustrate via 1D numerical examples the quadrature ...
A stochastic programming model for ambulance (re)location–allocation under equitable coverage and multi-interval response time
(Elsevier, 2024-03-25)
Emergency Medical Services are essential for health systems as their effective management can improve patient
prognosis. Nevertheless, designing an optimized distribution of resources is a difficult task due to the ...
Characterization of rankings generated by pseudo-Boolean functions
(Elsevier, 2024-03-16)
In this paper we pursue the study of pseudo-Boolean functions as ranking generators. The objective of the work is to find new insights between the relation of the degree
of a pseudo-Boolean function and the rankings ...