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Nuevo epígrafe funerario romano procedente de San Félix (Paredes, Siero, Asturias)

Díaz García, Fructuoso · García de Castro Valdés, César · Muñiz Alvarez, Juan R. + 3 authors

2024Publisher: Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen ZerbitzuaRepository: ADDI — University of the Basque Country

A new roman funerary epigraph from the site of San Félix (Paredes, Siero, Asturias) is presented. it was discovered during the survey carried out to update the archaeological inventory of the Municipality of Siero (Asturias, Spain). the proximity to the late roman graveyard of…

DOI: 10.1387/veleia.24800

Is It Possible to Improve the Perceived Quality of Life of Overweight or Obese Older People through a Multicomponent Physical Exercise Program?

Pleticosic Ramírez, Yazmina · Arufe Giráldez, Víctor · Rodríguez Negro, Josune + 2 authors

2024Publisher: MDPIRepository: ADDI — University of the Basque Country

Multicomponent exercise is a physical exercise modality in which various physical qualities (strength, cardiorespiratory endurance, flexibility, and balance) are developed with an equal distribution of volume in the same session (approximately 60 min) and that has been little…

DOI: 10.3390/bs14070618

Characterizing in-band full-duplex in broadcast communications: From field trials to a loopback channel model

Bilbao Barrenechea, Iñigo · Iradier Gil, Eneko · Fernández Andrés, Marta + 4 authors

2024Publisher: ElsevierRepository: ADDI — University of the Basque Country

This work was supported by the Basque Government, Spain (under the grant IT1436-22 and the grant Elkartek KK-2022/00069) and by the Spanish Government under the grant PID2021-124706OB-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by ERDF A way of making Europe . We want to…

DOI: 10.1016/j.measurement.2024.114792

Comparison of Modulation-Assisted Machining Strategies for Achieving Chip Breakage When Turning 17-4 PH Stainless Steel

Robles Ampudia, Ainhoa · Astarloa Badiola, Asier · Llanos González de Durana, Iñigo + 3 authors

2024Publisher: MDPIRepository: ADDI — University of the Basque Country

This research was partially funded from the European Union’s Horizon 2020 Research and Innovation. Programme under the project InterQ (grant agreement No. 958357), and it is an initiative of the Factories-of-the-Future (FoF) Public Private Partnership

DOI: 10.3390/jmmp8040167

Predicción de la temperatura crítica de superconductores mediante técnicas de Machine Learning. Redes neuronales y algoritmos genéticos

Herrero Álvarez, Javier

2024Repository: ADDI — University of the Basque Country

[ES] En este trabajo se desarrolla un modelo de regresión para predecir la temperatura crítica de materiales superconductores a partir de su fórmula empírica, utilizando técnicas de Machine Learning (ML). Los superconductores son materiales que por debajo de una temperatura…