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Long term EIT based compliance monitoring in COVID-19 patients
(De Gruyter, 2021)The COVID-19 is a viral infection that causes respiratory complications. Infected lungs often present ground glass opacities, thus suggesting that medical imaging technologies could provide useful information for the disease ... -
Foveal Remodeling of Retinal Microvasculature in Parkinson’s Disease
(Frontiers, 2021)Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular ... -
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ... -
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ... -
Association Between Retinal Features From Multimodal Imaging and Schizophrenia
(JAMA Network, 2023)Importance. The potential association of schizophrenia with distinct retinal changes is of clinical interest but has been challenging to investigate because of a lack of sufficiently large and detailed cohorts. Objective. ... -
Behaviour of a Ternary Mixture with the Net Separation Ratio Close to Zero
(IOP Publishing, 2021)The behaviour of the ternary hydrocarbon mixture of toluene-methanol-cyclohexane in mass proportion 0.62/0.31/0.07 is studied. The direct numerical simulation is carried out for the two-dimensional closed cavity heated ... -
Business Model Innovation in Established SMEs: A Configurational Approach
(MDPI, 2020)Small and medium-sized enterprises (SMEs) are at the heart of a nation’s wealth creation, employment generation and economic development. To help SMEs stay competitive in a fast-changing environment, researchers have ... -
Effect of Tool Geometry and LCO2 Cooling on Cutting Forces and Delamination when Drilling CFRP Composites Using PCD Tools
(Elsevier, 2022)Lightweight materials like Carbon Fiber Reinforced Polymers (CFRPs) present certain challenges, mainly regarding the resultant surface integrity of the holes. Different techniques such as optimized tool geometries, machining ... -
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
(Elsevier, 2022)The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ... -
A tribological characterisation of Ti-48Al-2Cr-2Nb and Ti-6Al-4V alloys with dry, flood, and MQL lubricants
(Elsevier, 2023)The development of cutting tools requires the knowledge of tribological phenomena at the tool – workpiece contact area. This knowledge is in dearth particularly for difficult-to-cut alloys like gamma titanium aluminide ... -
Binary Diffusion Coefficients for Short Chain Alcohols in Supercritical Carbon Dioxide-Experimental and Predictive Correlations
(MDPI, 2023)Experimental binary diffusion coefficients for short-chain alcohols in supercritical carbon dioxide were measured using the Taylor dispersion technique in a temperature range of 306.15 K to 331.15 K and along the 10.5 MPa ... -
Diffusion in liquid mixtures
(Springer Nature, 2023)The understanding of transport and mixing in fluids in the presence and in the absence of external fields and reactions represents a challenging topic of strategic relevance for space exploration. Indeed, mixing and transport ... -
Excess healthcare costs of mental disorders in children, adolescents and young adults in the Basque population registry adjusted for socioeconomic status and sex
(Springer Nature, 2023)Background Mental illnesses account for a considerable proportion of the global burden of disease. Economic evaluation of public policies and interventions aimed at mental health is crucial to inform decisions and improve ... -
Fibre-Wood Laminate Biocomposites: Seawater Immersion Effects on Flexural and Low Energy Impact Properties
(MDPI, 2022)The present paper explores a new concept of a hybrid eco-composite by substituting the natural fibre plies with thin wood veneers. The new composite, named Fibre–Wood Laminate (FWL), is inspired by fibre–metal laminate ... -
Numerical analysis of AISI 321 alloy material parameters on rubber pad diaphragm forming
(IOP Publishing, 2022)Rubber pad diaphragm forming is a technology that uses a rigid die in conjunction with a flexible polyurethane tool and fluid pressure action in order to shape metal sheets. In this process, the action of the fluid forms ... -
Synthetic Subject Generation with Coupled Coherent Time Series Data †
(MDPI, 2022)A large amount of health and well-being data is collected daily, but little of it reaches its research potential because personal data privacy needs to be protected as an individual’s right, as reflected in the data ... -
Time-Frequency Analysis of Experimental Measurements for the Determination of EMI Noise Generators in Power Converters
(MDPI, 2022)In the context of recent decades in which there has been great development in power electronics systems with increasingly better operating characteristics, the study of the factors that affect the behaviour of these systems ... -
Service design for digital servitization: Facilitating manufacturers' advanced services value proposition design in the context of Industry 4.0
(Elsevier, 2023)Industry 4.0 provides increasing opportunities for manufacturing companies in servitization, which has led to the emergence of digital servitization. Several single case studies have suggested service design as a means to ... -
Big Data Life Cycle in Shop-floor. Trends and Challenges
(IEEE, 2023)Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from ... -
A maturity model for the autonomy of manufacturing systems
(Springer, 2023)Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require ...
