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The combined effect of contact interface size and spin on lubricated traction in rolling-sliding point contacts
(Elsevier, 2023)
Traction in lubricated rolling and sliding contacts plays an important role in the performance of several machine elements. Many of such elements are subject to spin motion, which can affect their performance. Recent studies ...
Methodology and toolset for testing highly reconfigurable programmable logic controllers
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
The manufacturing industry has entered a new era of highly changeable customer requirements and tailor-made products. To meet market demands, manufacturing systems need to be redefined to be able to cost-effectively produce ...
Caracterización y modelización del comportamiento mecánico de materiales compuestos de fibra continua con orientaciones no-convencionales fabricados mediante impresión 3D
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
The ambitious goal of zero emissions in the transport sector requires the development of new materials and technologies that can significantly contribute to weight reduction. Recent advances in Fused Filament Fabrication ...
Local gradient analysis of human brain function using the Vogt-Bailey Index
(Springer, 2024)
In this work, we take a closer look at the Vogt-Bailey (VB) index, proposed in Bajada et al. (NeuroImage 221:117140, 2020) as a tool for studying local functional homogeneity in the human cortex. We interpret the VB index ...
Development and Comparison of Rule- and Machine Learning-Based EMS for HESS Providing Grid Services
(IEEE, 2024)
In this paper, a smart machine-learning-based energy management system (MLBEMS) is developed for a hybrid energy storage system (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics, ...
Dynamic context-aware workflow management architecture for efficient manufacturing: A ROS-based case study
(Elsevier, 2024)
The manufacturing industry of the future requires innovative approaches to optimize operational efficiency and adaptability. Integrating context-awareness into workflow management systems has emerged as a promising avenue ...
How ready is the wind energy industry for the circular economy?
(Elsevier, 2023)
Despite the strong contribution of wind energy for decarbonisation, the readiness of the wind industry for the transition to a sustainable circular economy (CE) is still unclear. To support CE innovation in the wind industry, ...
Physicochemical characterization of hydrophobic type III and type V deep eutectic solvents based on carboxylic acids
(Elsevier, 2023)
In the present work, novel type III and type V deep eutectic solvents (DESs) were prepared by mixing choline chloride (ChCl), tetrabutylammonium chloride (TBAC) or thymol as HBA, and different alkyl chain length carboxylic ...
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
(American Journal of Analogy, 2023)
Background and Objectives
Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether ...
Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...