Articles publicats Departament d'Informàtica, Matemàtica Aplicada i Estadística: Recent submissions
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Pathology and parasite distribution in mice challenged with Toxoplasma gondii from different geographical origins
Toxoplasma gondii (T. gondii), a zoonotic parasite, can cause severe disease in warm-blooded animals. Pathological changes in murine tissues infected with different T. gondii isolates were studied to establish factors ...
A Native Strategy for Integrating Deep-Learning Models for Segmentation into a Radiological Viewer
The use of deep-learning (DL) models to support and automate medical imaging diagnostic procedures has become an ongoing focus of research and development. Despite advances in the subject, the integration of such solutions ...
Replicating Expert Bone Measurements Automatically: A Case Study with Femoral Allografts
Precise morphological assessment of bone allografts is essential for successful graft-recipient matching in tissue banking. Manual measurement protocols, while standard, are labor-intensive, time-consuming, and prone to ...
Principal microbial groups: compositional alternative to phylogenetic grouping of microbiome data
Statistical and machine learning techniques based on relative abundances have been used to predict health conditions and to identify microbial biomarkers. However, high dimensionality, sparsity and the compositional nature ...
Entropy stability and Milnor–Thurston invariants for Bowen–Series-like maps
We define a family of discontinuous maps on the circle, called Bowen–Series-like maps, for geometric presentations of surface groups. The family has 2N parameters, where 2N is the number of generators of the presentation. ...
Longitudinal Prediction of Mental Health Outcomes in Vulnerable Youth using Machine Learning
Mental illnesses affect almost 15% of the world's population, with half of the cases emerging before age 14. Improved methods for predicting mental distress among adolescents, particularly in vulnerable populations, are ...
Semi-algebraic geometry and generic Hamiltonian stability
The steepness property is a local geometric transversality condition on the gradient of a -function which proves fundamental in order to ensure the stability of sufficiently-regular nearly-integrable Hamiltonian systems ...
Understanding variation of antimicrobial resistance genes in two agricultural catchments in Scotland
Antimicrobial resistance (AMR) is a global public health threat as it reduces the effectiveness of drug treatments and therefore our ability to combat infections. For the first time, this study used high temporal resolution ...
The composition of gases from a diffusion flame above longleaf pine needle fuel beds
The gas and tar composition of a wildland fire diffusion flame from longleaf pine needles is currently relatively unmeasured and more data are needed to fill in the gap between pyrolysis data and smoke plume data, thus ...
Solving weighted Maximum Satisfiability with Branch and Bound and clause learning
MaxSAT is a widely studied NP-hard optimization problem due to its broad applicability in modeling and solving diverse real-world optimization problems. Branch-and-Bound (BnB) MaxSAT solvers have proven efficient for solving ...
Using search algorithm statistics for assessing maze and puzzle difficulty
A video game’s difficulty has a large impact on player engagement. For instance, it is crucial in some genres to give the players a challenge difficult enough without frustrating them. We propose a simple method for assessing ...
The role of artificial intelligence in the assessment of the spine and spinal cord
Artificial intelligence (AI) application development is underway in all areas of radiology where many promising tools are focused on the spine and spinal cord. In the past decade, multiple spine AI algorithms have been ...
La necesidad de un Manifiesto a favor de la Alfabetización Estadística
Este trabajo surge con el proposito de contextualizar el MAE (Manifiesto de la Alfabetización Estadística) y profundizar en el concepto de alfabetización estadística. El texto se estructura de la siguiente manera. En la ...
Empirical comparison of post-processing debiasing methods for machine learning classifiers in healthcare
Machine learning classifiers in healthcare tend to reproduce or exacerbate existing health disparities due to inherent biases in training data. This relevant issue has brought the attention of researchers in both healthcare ...
Plasma acylcarnitines and gut-derived aromatic amino acids as sex-specific hub metabolites of the human aging metabolome
Aging biology entails a cell/tissue deregulated metabolism that affects all levels of biological organization. Therefore, the application of “omic” techniques that are closer to phenotype, such as metabolomics, to the study ...
Protective Efficacy of Decreasing Antigen Doses of a Chlamydia abortus Subcellular Vaccine Against Ovine Enzootic Abortion in a Pregnant Sheep Challenge Model
Background/Objective: Chlamydia abortus, the cause of ovine enzootic abortion, is a zoonotic bacterial pathogen and one of the most infectious causes of foetal death in sheep worldwide. Although the disease can be controlled ...
Exploring geochemical data using compositional techniques: a practical guide
John Aitchison revolutionised in 1982 our way of approaching geochemical data focusing on their relative nature. In this perspective, the investigation of single variables is meaningless due to the entangled structure that ...
Structure and metabolic potential of the prokaryotic communities from the hydrothermal system of Paleochori Bay, Milos, Greece
Shallow hydrothermal systems share many characteristics with their deep-sea counterparts, but their accessibility facilitates their study. One of the most studied shallow hydrothermal vent fields lies at Paleochori Bay off ...
How to choose a proper representation of compositional data for mineral exploration?
Regional mineral exploration is based on geochemical data of which the nature is compositional and frequently involves a large number of components. Consequently, it mostly needs multivariate dimension reduction methods ...
Detrital zircon age distributions in Bayes-Hilbert spaces
A growing number of researchers in the Earth Science community use the information provided by the U-Pb ages of detrital zircon in sedimentary environments, be these modern (sediments) or ancient (sedimentary or metasedimentary ...
