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Non-invasive Thermohydrodynamic Approach for Fast Cell Manipulation at the Microscale
(Springer, 2024)
Thermal gradients have emerged as a promising technique for manipulating and sorting biological material at the microscale, holding considerable potential in lab-on-a-chip technology. Herein, we propose a non-invasive ...
Multiphysics modeling and experimental validation of heat and mass transfer for the vacuum induction melting process
(Elsevier, 2024)
Vacuum induction melting is crucial in casting nickel-based superalloy components, ensuring excellent properties for aero-engine applications. Precise melting temperatures are vital for achieving optimal metallurgical ...
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
(Elsevier, 2024)
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. ...
Sobre lo sagrado y la dimensión poético-antropológica del habla
(Instituto Teológico de Murcia O.F.M., 2024-01-15)
El presente texto estudia la línea de diálogo entre Platón, Aristóteles, Humboldt y Heidegger acerca del fundamento del habla y su dimensión antropológica, a partir de obras selectas sobre filosofía del lenguaje. Se muestra ...
End-over-end (EoE) rotation of toroidal cans: An experimentally validated mathematical modelling study
(Elsevier, 2024)
Toroidal cans have been presented recently to improve the canning process efficiency, and previous studies focused on static and axial rotational processes. End-over-End (EoE) rotation is a significant agitation approach ...
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)
One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ...
Influence of Al addition on microstructure and electrochemical behaviour of CrMnFeCoNi high-entropy alloy
(Elsevier, 2024)
To develop new corrosion-resistant materials for structural applications, CrMnFeCoNiAlx high-entropy alloys (HEAs) are produced via semi-industrial induction casting. The study aimed to investigate the influence of Al ...
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 ...
Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6
(Elsevier, 2024)
The design of the different offshore renewable energy (ORE) technologies depends on the characteristics of wind/wave resources. However, these characteristics are not stationary under climate change. In this study the ...
Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturing
(Elsevier, 2024)
Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The ...