University of the Basque Country

A Two-Stage Unsupervised–Supervised Machine Learning Framework for Maximum Power Point Tracking of Photovoltaic Systems

Maximum Power Point Tracking (MPPT) is essential for maximizing photovoltaic (PV) energy extraction under changing operating conditions. This paper investigates a two-stage machine-learning framework combining K-means or fuzzy C-means (FCM) clustering of irradiance–temperature co...

Surface-Functionalized Nanofibers via Green Electrospinning: A Sustainable Platform for Enzyme Immobilization

Abstract In this work, we present a sustainable and efficient approach for the fabrication of surface-functionalized nanofibers via green electrospinning, an aqueous-based technique that employs polymer latexes and eliminates the need for organic solvents. Three carboxylic acid a...

Investigating the role of previously acquired languages in L3 semantic access through long-term crosslanguage repetition priming

The study's aim was to examine how learners with different L3 proficiency levels access the conceptual representations of L3 Spanish words through their previously acquired languages. To do so, a long-term crosslanguage repetition priming task was administered. During the encodin...

Combined sewer overflows attributable to wet weather season contributing to pharmaceutical pollution: a case study in northern Spain

The use of combined sewer systems is associated with frequent overflow events and discharges of untreated wastewater containing micropollutants, including active pharmaceutical ingredients (APIs). The aim of this study was to evaluate the impact of weather-related factors on the...

Wave-resolved dynamics and power generation at the Mutriku wave farm: Oceanic resonance and evidence of Zipf’s law

In this study, Supervisory Control and Data Acquisition (SCADA) records sampled at 0.5 s intervals at the Mutriku wave farm, covering the period from August 2018 to July 2019, were analyzed. The dataset was decomposed into more than 3.2 million individual pressure cycles of varyi...

Design and analysis of smooth geometry‐conforming lattices via Generalized Bézier patches

Abstract We propose a novel methodology to model globally G 1 geometry‐conforming metamaterials using Generalized Bézier‐based (GB) patches. Since every canonical tile is inscribed in a unit cube, we exploit its natural decomposition in octants and design multi‐sided patches for...

Multi-decadal assessment of wave power and variability from satellite altimetry observations in Ireland

Thirty years of observations from a calibrated multi-mission satellite altimetry dataset are employed to assess the Irish wave power density (energy flux) as well as its long-term variability. The significant wave height and the back-scatter coefficient measured by the altimeters...

Rethinking glyme electrolytes in sodium batteries: from passive solvents to active reaction media

Sodium-based batteries are emerging as promising alternatives to lithium technologies owing to the abundance and low cost of sodium. However, their performance is strongly governed by electrolyte chemistry. This perspective examines the role of glyme-based electrolytes in sodium...

StayStill: a large‐scale 3D idle animation dataset

Abstract Idle animations are essential for virtual characters, as they convey realistic behaviour during inactive states. While automatic animation generation has been widely studied, limited attention has been given to idle motion due to the absence of dedicated training dataset...

Salivary biomarkers of inflammation, angiogenesis, and aging in hookah smokers, cigarette smokers, and non-smokers

Hookah smoking is an increasingly prevalent form of tobacco consumption, particularly among young adults. Although conventional cigarette smoking is well established as a modulator of inflammatory and biological processes in the oral environment, salivary inflammatory and protect...

From Platform Development to Scale-Up: Stable Producer Cell Line-Based Lentiviral Vector Manufacturing

Background: The development of stable producer cell lines (SCLs) represents a promising alternative for lentiviral vector (LVV) manufacturing, offering improved reproducibility and reduced manufacturing costs. In previous work, our group established an SCL generation platform bas...

How Crystallite Size and Topology Control Intrusion–Extrusion Hysteresis in Metal–Organic Frameworks

Heterogeneous lyophobic systems (HLSs) are of interest for diverse applications, including energy materials and column chromatography. Within these systems, tuneability is a key property to broaden the scope of application. In this work, we explore how the exogeneous property of...

Analog quantum feature selection with neutral-atom quantum processors

Abstract We present a quantum-native approach to feature selection (QFS) based on analog quantum simulation with neutral-atom arrays. Feature relevance, measured through mutual information with the target variable, is encoded in site-dependent local detunings, while pairwise feat...

Predicting Chemical Stressor Effects on Conjugative Plasmid Transfer Rates Using Machine Learning

Abstract Chemical stressors in environmental and clinical settings can alter conjugative plasmid transfer, which is a key process driving antibiotic resistance dissemination. However, predicting these effects across chemically diverse compounds is challenging. Here, we compiled a...

Plasmon‐Enhanced Second‐Harmonic Generation in Atomically Thin Crystalline Silver Nanostructures

ABSTRACT The intrinsically weak nonlinear optical response of existing materials, further constrained by symmetry‐forbidden second‐order processes in centrosymmetric media, severely limits efficient frequency conversion in deeply subwavelength, ultrathin volumes. Addressing this...

Evidence-based atlas of risk and protective factors for psychotic disorders: an umbrella review to inform personalized prognosis and prevention.

Identifying updated, evidence-based risk and protective factors for psychotic disorders is essential to advancing scientific and clinical knowledge of their etiology. Since the most recent umbrella review published in this journal, the evidence base has expanded substantially. Fo...

Order Parameter Discovery for Quantum Many-Body Systems

Quantum phase transitions reveal deep insights into the behavior of many-body quantum systems, but identifying these transitions without prior knowledge of order parameters remains a significant challenge. In this work, we introduce a method for constructing phase diagrams using...

Integrative holo-omic data analysis predicts interactions across the host-microbiome axis

Understanding the interplay between host organisms and their microbiomes is central to the development of sustainable food systems. However, high dimensionality and spurious associations remain major obstacles to extracting meaningful biological insight from multi-omic host-assoc...

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

Abstract Objective: Chagas disease is a parasitic infection that is endemic to Latin America and primarily transmitted by insects. When untreated, Chagas disease can cause cardiomyopathy. Serological testing capacities for Chagas disease are limited, but Chagas cardiomyopathy oft...

2D theoretically twistable material database

The study of twisted two-dimensional (2D) materials, in which twisting layers create moiré superlattices, has created opportunities for investigating topological phases and strongly correlated physics. The broader potential of a seemingly infinite set of twistable 2D materials re...