[Abstract]: Long non-coding RNAs (lncRNAs) play a key role in several biological processes and scientists are constantly trying to come up with new strategies to elucidate their functions. One common approach to characterize ...

[Abstract] In this work, a robot-assisted laser cleaning system is presented that allows the automatic processing of 3D objects with arbitrary geometry. The system is based on the integration of a femtosecond pulse laser ...

[Abstract] Timber-concrete composite systems are a high-performance alternative for building floors, of great interest in the current context of environmental concerns. Looking for a more eco-friendly solution, the paper ...

[Abstract:] We propose two techniques for computing the energy spectra for 3D unstructured meshes that are consistent across different element types. These techniques can be particularly useful when assessing the dissipation ...

[Abstract]: This paper presents an intuitive, robust and efficient One-Class Classification algorithm. The method developed is called OCENCH (One-class Classification via Expanded Non-Convex Hulls) and bases its operation ...

[Abstract]: One of the main issues with deep learning is the need of a significant number of samples. We intend to address this problem in the field of Optical Coherence Tomography (OCT), specifically in the context of ...

[Abstract] Objectives: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select ...

[Resumen] El artículo propone el estudio de un corpus de doce relaciones de desastres en romance desde la perspectiva retórico-poética. A través de un amplio recorrido entre los textos considerados, analizados en sus ...