Politecnico di Milano

Sparse autoencoders for unsupervised health assessment of a concrete dam

This study explores the application of dynamic monitoring combined with Sparse AutoEncoder (SAE) networks applied to acceleration time series for identifying and locating structural anomalies or material damage and deterioration. Compared to previous approaches proposed in the li...

Irrigation quantification through ensemble physical modelling

Agriculture is the largest freshwater user worldwide, averaging 70% of freshwater consumption. Despite this, irrigation represents the most uncertain flux of the water cycle, since it is rarely measured and is difficult to predict because of complex and site-specific water manage...

Dual Delivery from a Multilayer Buccal Film: Rational Design of a Combination Product for Localized Treatment of Oral Fibrosis

Oral submucous fibrosis (OSF) is a chronic, progressive, and potentially malignant disorder characterized by severe oral cavity remodeling. The condition is driven by a painful burning sensation and a pathognomonic restriction of mouth opening (trismus), severely diminishing pati...

Exploring the value of thematic urban ecosystem accounts in Western Balkan countries to inform urban greening actions

Urban ecological health is increasingly prioritised in Europe, as reflected in the EU Biodiversity Strategy 2030, the Nature Restoration Regulation, and the amended Regulation on Environmental-Economic Accounts. Translating these commitments into effective greening policy and pla...

Energy transfer and scale organisation in dense canopy turbulence

This study identifies the scale-dependent processes that sustain turbulence in dense submerged canopy flows. Using a scale-resolved energy budget, we determine where in space and at which scales production, pressure–strain redistribution and inter-scale transfer predominantly occ...

Dissociation Between Instrumented Mobility and Self-Reported Function in Adults Aged 70 Years or Older After Unilateral Total Knee Arthroplasty: A Preliminary Longitudinal Study Using an Inertial Sensor and the WOMAC

Background and Objectives: Total knee arthroplasty (TKA) reliably reduces pain and improves self-reported function, yet objective mobility may remain impaired in older adults. We examined the relationship between inertial-sensor-based mobility and the Western Ontario and McMaster...

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics

The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time infere...

Bridging temporalities in service design: A double-cone spiralling model for integrating ancestrality and future possibilities

As a field increasingly engaging interdisciplinary forms of inquiry, service design (SD) has integrated perspectives from adjacent disciplines to extend its capability and reinforce its transformative role in addressing service ecosystem transformations. Yet, as both external and...

A Physics‐Informed Machine Learning Model for Predicting Fatigue Delamination Growth With Fiber Bridging‐Defined Confidence Intervals in Composite Laminates

ABSTRACT In fatigue delamination growth (FDG), for different fiber bridging intensity and load ratios ( R ‐ratios), the Paris‐type law on FDG rate ( da/dN ) is formulated using strain energy release rate ( SERR ) on the crack tip Δ√ G tip and effective SERR Δ√ G eff as similitude...

Hydropeaking Catalyzes Redox Reactions in Impacted Aquifers: A First Field Evidence

Abstract Hydropeaking indicates the sudden and frequent fluctuation of river stage caused by the operation of hydropower plants. This river alteration affects numerous physical, chemical, biological, and ecohydrological processes in surface water bodies. The impact of hydropeakin...

Is International Trade Good for You? Individual and Contextual Determinants of Anti‐Trade Attitudes

ABSTRACT This paper studies the determinants of anti‐trade attitudes in the European Union. In particular, it investigates how individuals' perceptions of international trade are shaped by the extent and nature of their local communities' integration into international trade. Dra...

Circular Transformation in the Silk Sector: A Fuzzy Delphi–DEMATEL Analysis of Critical Factors

ABSTRACT The circular transformation in the silk industry is crucial for enhancing resource efficiency and minimizing waste. Despite growing interest in circularity within the textile sector, the silk industry remains underexplored. This study addresses this gap by systematically...

Structural Behaviour of Umbrella Vaults Under Self-Weight: A Case Study

Masonry buildings belonging to the architectural heritage are often characterized by the presence of masonry arches, vaults, and domes. A thorough structural assessment of masonry vaults is essential from a conservation perspective, as these elements are often subject to damage,...

Integrated Conversion of Coconut and Palm Oils into Bio-Based Chemicals via Hydrolysis and Kolbe Electrolysis

This study presents an integrated two-step synthetic protocol for the conversion of coconut and palm oils into high-value bio-based hydrocarbons, alcohols, and aldehydes. The process employs alkaline hydrolysis followed by Kolbe electrolysis. Under reflux in an EtOH-KOH system, b...

Mineralogical and Elemental Variability of Canine Dental Calculi Reveals an Age-Associated Calcite–Apatite Continuum

Abstract Dental calculus is a mineralized oral biofilm widely occurring in domestic dogs, yet its mineralogical variability and chemical evolution remain insufficiently defined. Here, we investigate dental calculus collected as biological waste material during routine professiona...

Enhanced Uncertainty Quantification Variational Autoencoders for the Solution of Bayesian Inverse Problems

Among other uses, neural networks are used to solve deterministic and Bayesian inverse problems, where variational autoencoders enable the Bayesian estimation of model parameters and their distribution from observational data allowing real-time inverse uncertainty quantification....

Cellulose-Based Nanosponges with PEDOT:PSS as Pressure Sensors with Tunable Elasticity: A Study on Modulation of Mechanical Properties and Pressure Response

Abstract This study investigates the suitability of sustainable, highly porous nanosponges, composed of TEMPO-oxidized cellulose nanofibers (TOCNF) and branched polyethylenimine (bPEI, cross-linker), as scaffolds for PEDOT:PSS poly(3,4-ethylenedioxythiophene):polystyrenesulfonate...

The Reaction Kinetics of H Atoms with Methylamine: Measurements and Theory

Abstract Understanding the reactivity of methylamine (CH3NH2), the simplest primary amine, is of relevance in a variety of contexts, ranging from atmospheric chemistry to pyrolysis and combustion. In this work we determined experimentally and theoretically the rate of the H-abstr...

Inclusion Complexes Between α-Cyclodextrins and Xenon: Molecular Dynamics Simulations and Experimental Study

Xenon (Xe) is an inert noble gas receiving increasing attention in medical research due to its anesthetic properties, ability to regulate metabolic processes, and broad organoprotective effects. Due to its small size and non-covalent intermolecular interactions, Xe can be encapsu...

Stress reduces loss aversion without increasing reward-cue attentional salience

Abstract Attentional and evaluative decision biases both shape motivated behavior, yet their interplay under acute stress remains unclear. We tested whether acute psychosocial stress affects loss aversion and reward-cue attentional salience. Sixty-one healthy adults completed the...