A5100743544- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and Audio Processing
- Control Systems and Identification
- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Music and Audio Processing
- Topic Modeling
- Advanced Control Systems Design
- Subtitles and Audiovisual Media
- Traffic control and management
- Aortic Disease and Treatment Approaches
- Artificial Intelligence in Healthcare and Education
- Translation Studies and Practices
- Aortic aneurysm repair treatments
- Artificial Intelligence in Law
- Greenhouse Technology and Climate Control
- Autonomous Vehicle Technology and Safety
- Multi-Agent Systems and Negotiation
- Traffic Prediction and Management Techniques
- Asthma and respiratory diseases
- Semantic Web and Ontologies
- Cinema History and Criticism
Universitat Autònoma de Barcelona
2013-2023
Clinica Universidad de Navarra
2023
University of the Philippines Diliman
2021
Hospital Clínico San Carlos
1998-2020
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos
2014-2020
Hospital General Universitario Gregorio Marañón
2014
Universidad de Navarra
2012
Universidad Pontificia Bolivariana
2011
Universidad Complutense de Madrid
2009
Hospital de Sant Pau
2006
To investigate the effect of short-term high-dose atorvastatin on blood and plaque inflammation in patients with carotid stenosis.Twenty undergoing endarterectomy without previous statin treatment were randomized to receive either 80 mg/d (n=11) or no statins (n=9) for 1 month. We studied inflammatory mediators plasma (enzyme-linked immunosorbent assay), peripheral mononuclear cells (PBMCs; quantitative RT-PCR EMSA) plaques (immunohistochemistry Southwestern histochemistry).Atorvastatin...
Road traffic forecasting systems are in scenarios where sensor or system failure occur. In those scenarios, it is known that missing values negatively affect estimation accuracy although being often underestimate current deep neural network approaches. Our assumption data can be generated from a latent space. Thus, we propose an online unsupervised imputation method based on learning the distribution using variational autoencoder (VAE). This used as independent pre-processing step prior to...
Alexithymia is a psychological trait characterised by difficulty in perceiving and expressing emotions body sensations. Failure to perceive dyspnoea could lead alexithymic asthmatics underestimate the severity of an asthma exacerbation, thereby increase risk developing fatal or near-fatal (NFA) attack. The objective present study was determine prevalence alexithymia NFA patients analyse their clinical characteristics. assessed using Toronto Scale this multicentric prospective observational...
Prostaglandin E2 (PGE2), the product of cyclooxygenase-2 (COX-2) and prostaglandin E synthase-1 (mPGES-1), acts through its receptors (EPs) induces matrix metalloproteinase (MMP) expression, which may favor instability atherosclerotic plaques. The effect statins on EPs expression has not been previously studied. aim this study was to investigate atorvastatin (ATV, 80 mg/d, for one month) EP in plaques peripheral blood mononuclear cells (PBMC) patients with carotid atherosclerosis. In...
This paper is an attempt to exclusively focus on investigating the pivot language technique in which a bridging utilized increase quality of Persian-Spanish low-resource Statistical Machine Translation (SMT).In this case, English used as language, and Persian-English SMT combined with English-Spanish one, where relatively large corpora each may be support pairing.Our results indicate that outperforms direct processes currently use between Persian Spanish.Furthermore, we investigate sentence...
Audio segmentation is important as a pre-processing task to improve the performance of many speech technology tasks and, therefore, it has an undoubted research interest. This paper describes database, metric, systems and results for Albayzín-2014 audio campaign. In contrast previous evaluations where was non-overlapping classes, evaluation proposes delimitation presence speech, music and/or noise that can be found simultaneously. The database used in created by fusing different media noises...
Speaker diarization has become a key process within other speech processing systems which take advantage of single-speaker signals. Furthermore, finding recurrent speakers among set audio recordings, known as cross-show diarization, is gaining attention in the last years. Current state-of-the-art-systems provide good performance, but usually at cost long times. This limitation may make current not suitable for real-life applications. In this line, speaker approach based on binary modeling...
Speaker diarization has become an important building block in many speech-related systems. Given the great increase of audiovisual media, fast systems are required order to process large amounts data a reasonable time. In this regard, recently proposed speaker system based on binary key modeling provides very alternative state-of-the-art at cost slight decrease performance. This is mainly due drawbacks final clustering selection algorithm, which far from returning optimum actually able...
Transient receptor potential vanilloid 2 (TRPV2) channels are expressed in both smooth muscle and endothelial cells participate vascular mechanotransduction sensing of high temperatures lipids. Nevertheless, the impact TRPV2 channel activation by agonists on coordinated cell-type specific modulation vasoreactivity is unknown.Aorta from 2- to 4-months-old male Oncins France 1 mice was dissected mounted tissue baths for isometric tension measurements. expression assessed immunofluorescence...
explanation (Fig 1).
Speaker diarization is the task of partitioning an audio stream into homogeneous segments according to speaker identity. Today state-of-the-art systems have achieved very competitive performance. However, any small improvement in Diarization Error Rate (DER) usually subject large processing times (real time factor above one), which makes not suitable for some time-critical, real-life applications. Recently, a novel fast technique based on modeling using binary keys was presented. The...
Neuromorphic systems based on Hardware Neural Networks (HNN) are expected to be an energy-efficient computing architecture for solving complex tasks. Due the variability common all nano-electronic devices, HNN success depends development of reliable weight storage or mitigation techniques against variation. In this manuscript, we propose a neural network training technique mitigate impact device-to-device variation due conductance imperfections at import in offline-learning. To that aim, add...
En el presente estudio se evaluaron los estilos de vida 378 estudiantes del área la salud residentes en ciudad Bucaramanga. Se estudiaron cuatro dimensiones analíticas: ejercicio y actividad física; consumo alcohol; cigarrillo sustancias psicoactivas; sexualidad. La investigación concluyó que, acorde con estudios previos, posesión conocimiento no es suficiente para adopción conductas saludables, así como tampoco lo son disponer creencias adecuadas sobre o motivaciones consistentes frente a...