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Institution

University of Alcalá

EducationAlcalá de Henares, Spain
About: University of Alcalá is a education organization based out in Alcalá de Henares, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 10795 authors who have published 20718 publications receiving 410089 citations. The organization is also known as: University of Alcala & University of Alcala de Henares.


Papers
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Journal ArticleDOI
TL;DR: Preliminary evidence that SCIT is feasible and may improve social cognition for bipolar and schizoaffective outpatients is provided.

94 citations

Journal ArticleDOI
TL;DR: The development of and the first experiments in a Spanish to sign language translation system in a real domain focusing on the sentences spoken by an official when assisting people applying for, or renewing their Identity Card are described.

94 citations

Journal ArticleDOI
TL;DR: This paper presents a novel pedestrian detection system for intelligent vehicles that uses dense stereo for both the generation of regions of interest and pedestrian classification and employs a fusion of depth and intensity on the classifier level.
Abstract: This paper presents a novel pedestrian detection system for intelligent vehicles. We propose the use of dense stereo for both the generation of regions of interest and pedestrian classification. Dense stereo allows the dynamic estimation of camera parameters and the road profile, which, in turn, provides strong scene constraints on possible pedestrian locations. For classification, we extract spatial features (gradient orientation histograms) directly from dense depth and intensity images. Both modalities are represented in terms of individual feature spaces, in which discriminative classifiers (linear support vector machines) are learned. We refrain from the construction of a joint feature space but instead employ a fusion of depth and intensity on the classifier level. Our experiments involve challenging image data captured in complex urban environments (i.e., undulating roads and speed bumps). Our results show a performance improvement by up to a factor of 7.5 at the classification level and up to a factor of 5 at the tracking level (reduction in false alarms at constant detection rates) over a system with static scene constraints and intensity-only classification.

94 citations

Journal ArticleDOI
TL;DR: An overview of MC phenotypes in health and disease is given, and explanations for the phenotypic variability of MC are attempted to provide.
Abstract: Mast cells (MC) are multipotent effector cells of the immune system. They contain an array of biologically active mediator substances in their granules. MC also express a number of functionally important cell surface antigens, including stem cell factor receptor (SCFR=kit=CD117), high affinity IgER (FcepsilonRI), or CSaR (CD88). Respective ligands can induce or promote degranulation, migration, or cytokine production. Other integral surface molecules can mediate adhesion or cell aggregation. Recent data suggest that a number of critical molecules are variably expressed on the surface of human MC. In fact, depending on the environment (organ), stage of cell maturation, type of disease, and other factors, MC express variable amounts of activation-linked antigens (CD25, CD63, CD69, CD88), cell recognition molecules (CD2, CD11, CD18, CD50, CD54), or cytokine receptors. At present, however, little is known about the mechanisms and regulation of expression of such antigens. The present article gives an overview of MC phenotypes in health and disease, and attempts to provide explanations for the phenotypic variability of MC.

94 citations


Authors

Showing all 10907 results

NameH-indexPapersCitations
José Luis Zamorano105695133396
Jesús F. San Miguel9752744918
Sebastián F. Sánchez9662932496
Javier P. Gisbert9599033726
Luis M. Ruilope9484197778
Luis M. Garcia-Segura8848427077
Alberto Orfao8559737670
Amadeo R. Fernández-Alba8331821458
Rafael Luque8069328395
Francisco Rodríguez7974824992
Andrea Negri7924235311
Rafael Cantón7857529702
David J. Grignon7830123119
Christophe Baudouin7455322068
Josep M. Argilés7331019675
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20251
20243
202375
2022166
20211,660
20201,532