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The role of the SLAM-SAP signaling pathway in the modulation of CD4+ T cell responses BJMBR
Vilar,M.L.L.V.; Frutuoso,M.S.; Arruda,S.M.; Lima,D.M.; Bezerra,C.S.; Pompeu,M.M.L..
The signaling lymphocytic activation molecule (SLAM), present on the surface of hematopoietic cells, can regulate some events of the immune responses. This modulatory action is associated with the capacity of SLAM to interact with an intracytoplasmic adapter, such as SLAM-associated protein (SAP). SLAM is constitutively expressed in most of these cells, is rapidly induced after antigenic or inflammatory stimuli, and participates in the immunological synapse. Defects in the function of the SLAM-SAP pathway contribute to immunological abnormalities, resulting in autoimmune diseases, tumors of the lymphoid tissues and inadequate responses to infectious agents. Initially, the role of SLAM was investigated using an anti-SLAM monoclonal antibody (α-SLAM mAb)...
Tipo: Info:eu-repo/semantics/article Palavras-chave: SLAM; SAP; IFN-γ; Immunoreceptor; Immunomodulation.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2011000400002
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OV2SLAM: A Fully Online and Versatile Visual SLAM for Real-Time Applications ArchiMer
Ferrera, Maxime; Eudes, Alexandre; Moras, Julien; Sanfourche, Martial; Le Besnerais, Guy.
Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-time capability. In this work, we describe OV 2 SLAM, a fully online algorithm, handling both monocular and stereo camera setups, various map scales and frame-rates ranging from a few Hertz up to several hundreds. It combines numerous recent contributions in visual localization within an efficient multi-threaded architecture. Extensive comparisons with competing algorithms shows the state-of-the-art accuracy and real-time performance of the resulting algorithm. For the benefit of the community, we release the source code: https://github.com/ov2slam/ov2slam .
Tipo: Text Palavras-chave: SLAM; Localization; Mapping; Field robotics.
Ano: 2021 URL: https://archimer.ifremer.fr/doc/00684/79583/82305.pdf
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