Universitat Politècnica de València

Scalable Multi-UAV Target Assignment via Permutation-Invariant Reinforcement Learning and Conditional Control-Barrier-Function Safety Filtering

Coordinating multiple unmanned aerial vehicles (UAVs) to assign targets and generate collision-free trajectories in dynamic, obstacle-dense environments is a challenging problem with applications in search-and-rescue, surveillance, and precision agriculture. Existing deep reinfor...

Nanoclay-Stabilized Hybrid Pigments from Plant and Biowaste Extracts for Cotton Printing: Color and Fastness Performance

Selected low-impact extracts from red cabbage, spent coffee grounds, Pisolithus sp., orange peel, Iris germanica petals, dragon fruit peel and pine bark were immobilized on halloysite (HA), hydrotalcite (HT) and laponite (LAP) and evaluated as hybrid pigments for cotton printing....

Development of Sustainable Thermoplastic Zein by Partial Substitution of Glycerol with Olive Oil or Oleic Acid: a New Route for Injection-Molded Biopolymers

Thermoplastic zein formulations containing 25 wt% total modifier were processed by extrusion and injection molding. Glycerol was progressively replaced with oleic acid (OA) or olive oil (OO) at substitution levels ranging from 2.5 to 10 wt%, while maintaining the zein and total m...

Advancing Sustainable Development Through Resource Efficiency: Institutional Asymmetries and Firm Capabilities in European Agri‐Food SMEs

ABSTRACT Resource efficiency has become a priority for the European agri‐food sector, yet adoption remains uneven across countries and firms. This study examines how European agri‐food small and medium‐sized enterprises (SMEs) adopt resource efficiency practices. The study draws...

Multispectral representation of Distributed Acoustic Sensing data: A framework for physically interpretable feature extraction and visualisation

Distributed Acoustic Sensing (DAS) enables continuous monitoring of dynamic strain along tens of kilometres of optical fibre, generating massive datasets whose interpretation and automated analysis remain challenging. DAS data can be understood as a time-distance image array. How...

Toxicity Evaluation of Microplastics Exposure in Water Contaminated with Pyrene and Methyl Chlorpyrifos Using Daphnia magna

Abstract In freshwater environments, microplastics (MPs) have emerged as important organic contaminants vectors. This study investigates the individual and combined toxicity of microparticles of polystyrene (PS) and polylactic acid (PLA) with two contaminants of major concern in...

Load- versus concentration-based water quality metrics: Field assessment of permeable pavement and filter drain under Mediterranean rainfall in Valencia, Spain

Study Region Valencia, Spain. Study Focus Two full-scale Sustainable Urban Drainage Systems (SUDS), a permeable pavement (PP) and a filter drain (FD), were monitored over one year at a residential street in Valencia under Mediterranean rainfall conditions. Hydraulic and water-qua...

Expired endoscopic devices remain sterile and functional: an international multicentre study challenging current shelf-life criteria

Background and study aims Expired medical devices represent an environmental and economic concern, yet their magnitude and true shelf life remain poorly defined. We aimed to quantify the volume and cost of expired endoscopic devices and evaluate their sterility and functionality...

Valorisation of Leek Processing Residues Through Microwave Pretreatment to Produce Functional Powdered Ingredients

The transformation of vegetable wastes into powders allows for their integral valorisation by applying three basic stages: grinding, dehydration and milling. Additionally, pretreatments can be applied to improve process efficiency and modify the properties of the powders obtained...

Digital stone grafting for volumetric reintegration and reconstruction of architectural sculptural-ornamental elements: case study in cultural heritage

The volumetric reintegration of stone architectural elements remains a significant challenge in heritage conservation, particularly when material losses affect the legibility, integrity, or interpretation of sculptural-ornamental features. Traditional approaches, including stone...

Irreversible electroporation for liver metastases not amenable to conventional treatments, an experience with technical challenges, clinical outcomes, and complications

Irreversible electroporation (IRE) is a non-thermal ablation technique for perivascular liver tumors unsuitable for conventional thermal ablation due to heat-sink effects. This prospective, single-center, single-arm study (2020–2025) evaluated IRE in 14 patients with 16 anatomica...

Structural and metabolic imaging after mechanical thrombectomy for acute ischemic stroke: A hybrid 18F-FDG PET/MRI pilot study

Hybrid 2-[18F]-fluoro-2-deoxy-D-glucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) enables simultaneous, single-session assessment of structural and metabolic stroke damage. We prospectively studied 10 consecutive patients (6 women; mean age 71.6 ±...

The Limits of Regionalism in Achieving Effective Spatial Outcomes

Abstract Institutional quality matters and decentralisation and regionalisation should be in service of this overall aim. This paper, in putting forward this simple proposition, lays out evidence on regionalisation, decentralisation and institutions. Despite an assumption that th...

Effects of Controlled Fermentation and Drying on the Physicochemical, Morphological, and Sensory Quality of Cocoa Beans from Clone FSV41

Abstract The growing demand for high-quality cocoa has driven improvements in postharvest processes with the aim of enhancing its physicochemical, sensory, and functional properties. In this context, the present study analysed the impact of controlling the fermentation and drying...

Nutritional and Functional Potential of Mangosteen (Garcinia mangostana L.) By-products: Compositional, Color and Antioxidant Analysis of Leaves, Pericarp, Seeds and Pulp

Garcinia mangostana L. is a tropical fruit widely recognized for its nutritional and functional properties; however, the compositional characteristics of its different anatomical parts remain insufficiently explored. This study evaluated the proximate composition, mineral content...

Enhancing Knowledge Tracing with Talking-Heads Attention and Item Response Theory

Knowledge tracing (KT) is a fundamental task in student modeling within online education systems, enabling the tracking of a student’s learning progress and the prediction of future performance. Recent attention-based KT methods have leveraged self-attention mechanisms to capture...

Province-level estimation of sustainable agricultural biomass energy potential in Spain: A three-tier framework with cultivated-area stability and seasonal availability analysis

This study presents a province-level assessment of sustainable agricultural biomass energy potential in Spain, covering eighteen crop systems across the country's fifty-two provinces from 2013 to 2023. Building on established frameworks, the methodology applies a three-tier frame...

Microbial Biostimulants for Drought Resilience in Plants: Mechanisms, Plant–Microbiome Interactions, and Sustainable Agricultural Applications

Drought stress is one of the most significant challenges for global agriculture, adversely affecting crop yields and food security. In recent years, microbial biostimulants have emerged as a promising solution to enhance plant resilience against such abiotic stresses. This review...

Spatial Data Fusion and Machine Learning Bias Correction for Convection-Permitting Atmospheric Downscaling and Multi-Criteria Site Feasibility Mapping in Complex Coastal Terrains

High-resolution atmospheric modeling over topographically complex coastal zones requires multi-source spatial data fusion to bridge the scale gap between satellite-assimilated global reanalysis and localized boundary layer dynamics. This study presents a spatial data fusion frame...

Edge-Optimized Reservoir Computing for Forecasting Complex Ecological Systems: Predicting Fishery Collapse with Incomplete Data

Monitoring landings in data-scarce fisheries is hampered by short, noisy series and multi-year reporting gaps. We benchmark Echo State Networks (ESNs) against SARIMA, LightGBM, and LSTM models and against naïve and seasonal-naïve persistence, for one-step-ahead forecasting of the...