Cytomegalovirus infection in HIV-infected patients in the era of combination antiretroviral therapy

Autor: R. Perello, A. Vergara, E. Monclus, S. Jimenez, M. Montero, N. Saubi, A. Moreno, Y. Eto, A. Inciarte, J. Mallolas, E. Martínez, M. A. Marcos

Publikováno v: BMC Infectious Diseases, Vol 19, Iss 1, Pp 1-6 (2019)

Abstract Background Cytomegalovirus infection dramatically decreased with the introduction of antiretroviral therapy. Whether incidence, clinical characteristics and prognosis of cytomegalovirus in HIV infected patients, has changed over time is. sca

Externí odkaz: https://doaj.org/article/db411fe172204e22bafa68f7fb738017

Physiological Measures of Risk Perception in Highly Automated Driving

Autor: Jaume R. Perello-March, Christopher G. Burns, Stewart A. Birrell, Roger Woodman, Mark T. Elliott

Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 23:4811-4822

Highly automated driving will likely result in drivers being out-of-the-loop during specific scenarios and engaging in a wide range of non-driving related tasks. Manifesting in lower levels of risk perception to emerging events, and thus affect drive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::460d457ab1666a20132cad53d7b7bf26
https://doi.org/10.1109/tits.2022.3146793

Detailed analysis of flow-induced thermal mechanisms in sub-micron MEMS-based VOC biosensors: A design solution for the nanometer scale

Autor: R. Perello-Roig, J. Verd, S. Bota, J. Segura

Publikováno v: 2022 IEEE 22nd International Conference on Nanotechnology (NANO).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ec2d03d6d746652e08cce66296655d3
https://doi.org/10.1109/nano54668.2022.9928696

Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios

Autor: Mark T. Elliott, Roger Woodman, Stewart A. Birrell, Christopher G. Burns, Jaume R. Perello-March

Publikováno v: Perello-March, J R, Burns, C G, Woodman, R, Elliott, M T & Birrell, S A 2022, ' Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios ', IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 6, pp. 5187-5197 . https://doi.org/10.1109/TITS.2021.3050518

Highly Automated Driving technology will be facing major challenges before being pervasively integrated across production vehicles. One of them will be monitoring drivers' state and determining whether they are ready to take over control under certai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb85a6e53a8a46f42a0120bc3f19e557
https://hdl.handle.net/20.500.11820/8a595aa0-d7ea-4c8a-9716-c47e8ed704df

Haptic Feedback in Eco Driving Interfaces for Electric Vehicles: Effects on Workload and Acceptance

Autor: Jaume R. Perello-March, Stewart A. Birrell, Eva García-Quinteiro

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319960678

The pervasive inclusion of electric vehicles on our roads is already a reality and is here to stay in the future. Many car manufacturers are including full electric or hybrid models in their catalogues and more will come in the near future. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1cd4c820b5dbca481deca2da4f1b4502
https://doi.org/10.1007/978-3-319-96068-5_73