• A NKp80-based identification strategy reveals that CD56neg NK cells are not completely dysfunctional in health and disease. 

  Orrantia Robles, Ane; Terrén Martínez, Iñigo; Izquierdo Lafuente, Alicia; Alonso Cabrera, Juncal Anne; Sandá Mera, Víctor; Vitallé Andrade, Joana; Moreno, Santiago; Tasias, María; Uranga, Alasne; González, Carmen; Mateos, Juan J.; García Ruíz, Juan Carlos; Zenarruzabeitia Belaustegui, Olatz; Borrego Rabasco, Francisco (Cell Press, 2020-07-01)

  Natural killer (NK) cells are usually identified by the absence of other lineage markers, due to the lack of cell-surface-specific receptors. CD56neg NK cells, classically identified as CD56negCD16+, are very scarce in the ...
• Scalability of an Eulerian-Lagrangian large-eddy simulation solver with hybrid MPI/OpenMP parallelisation 

  Ouro, Pablo; Fraga, Bruño; López Novoa, Unai; Stoesser, Thorsten (Elsevier, 2019-01-30)

  Eulerian-Lagrangian approaches capable of accurately reproducing complex fluid flows are becoming more and more popular due to the increasing availability and capacity of High Performance Computing facilities. However, the ...
• Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum 

  Nieto, Gorka; De la Iglesia, Idoia; López Novoa, Unai; Perfecto del Amo, Cristina Begoña (Springer, 2024-05-03)

  The integration of new Internet of Things (IoT) applications and services heavily relies on task offloading to external devices due to the constrained computing and battery resources of IoT devices. Up to now, Cloud Computing ...
• Implementation of a scalable platform for real-time monitoring of machine tools 

  Tapia, Endika; López Novoa, Unai; Sastoque Pinilla, Edwar Leonard; López de Lacalle Marcaide, Luis Norberto (Elsevier, 2024-02-01)

  In the new hyper connected factories, data gathering, and prediction models are key to keeping both productivity and piece quality. This paper presents a software platform that monitors and detects outliers in an industrial ...

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