dc.contributorVillalon-Turrubiates, I.E., Department of Computer Sciences and Engineering, Los Valles University Center, University of Guadalajara Guadalajara, Ameca Highway Km. 45.5, 46600 Ameca, Mexico
dc.creatorVillalon-Turrubiates, I.E.
dc.date.accessioned2015-09-15T19:18:50Z
dc.date.accessioned2022-11-02T14:50:08Z
dc.date.available2015-09-15T19:18:50Z
dc.date.available2022-11-02T14:50:08Z
dc.date.created2015-09-15T19:18:50Z
dc.date.issued2008
dc.identifierhttp://hdl.handle.net/20.500.12104/45707
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84904227950&partnerID=40&md5=d0963479f7134f672c235802cdffcd08
dc.identifier10.1007/s12031-014-0376-6
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5004892
dc.description.abstractThe extraction of remote sensing signatures from a particular geographical region allows the generation of electronic signature maps, which are the basis to create a high-resolution collection atlas processed in continuous discrete time. This can be achieved using a new multispectral image classification approach based on pixel statistics for the class description. This is referred to as the Weighted Pixel Statistics Method. This paper explores the effectiveness of this novel approach developed for supervised segmentation and classification of remote sensing signatures, with a comparison with the traditional Weighted Order Statistics Method. The extraction of remote sensing signatures from real-world high-resolution environmental remote sensing imagery is reported to probe the efficiency of the developed technique. " 2008 IEEE.",,,,,,"10.1109/ICEEE.2008.4723424",,,"http://hdl.handle.net/20.500.12104/45721","http://www.scopus.com/inward/record.url?eid=2-s2.0-61549086787&partnerID=40&md5=a0238c026eeda282c3d7c2b85d8e6974",,,,,,,,"2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2008",,"534
dc.description.abstract539",,,,"Scopus",,,,,,"Image classification; Image segmentation; Remote sensing; Statistics",,,,,,"Weighted pixel statistics for multispectral image classification of remote sensing signatures: Performance study",,"Conference Paper" "47486","123456789/35008",,"Bayod, S., Unitat de Farmacologia i Farmacognòsia. Facultat de Farmàcia, Institut de Biomedicina (IBUB), Universitat de Barcelona, Nucli Universitari de Pedralbes, Barcelona, 08028, Spain, Centros de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain; Guzmán-Brambila, C., División de Biotecnología y Salud, Escuela de Medicina, Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Guadalajara, Guadalajara, Jalisco 45201, Mexico; Sanchez-Roige, S., School of Psychology, University of Sussex, Falmer, Brighton, BN1 9QG, United Kingdom; Lalanza, J.F., Institut de Neurociències, Departamento. de Psiquiatria i Medicina Legal, Universitat Autónoma de Barcelona, Bellaterra, 08193, Spain; Kaliman, P., Instituto de Investigaciones Biomédicas de Barcelona IIBB-CSIC, c/Rosselló 161, 6th floor, Barcelona, 08036, Spain; Ortuño-Sahagun, D., Instituto de Investigación en Ciencias Biomédicas (IICB), CUCS, Universidad de Guadalajara, Sierra Mojada No. 950, Col. Independencia, Guadalajara, Jalisco 44340, Mexico; Escorihuela, R.M., Institut de Neurociències, Departamento. de Psiquiatria i Medicina Legal, Universitat Autónoma de Barcelona, Bellaterra, 08193, Spain; Pallás, M., Unitat de Farmacologia i Farmacognòsia. Facultat de Farmàcia, Institut de Biomedicina (IBUB), Universitat de Barcelona, Nucli Universitari de Pedralbes, Barcelona, 08028, Spain, Centros de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain",,"Bayod, S.
dc.description.abstractGuzman-Brambila, C.
dc.description.abstractSanchez-Roige, S.
dc.description.abstractLalanza, J.F.
dc.description.abstractKaliman, P.
dc.description.abstractOrtuno-Sahagun, D.
dc.description.abstractEscorihuela, R.M.
dc.description.abstractPallas, M.",,"2014",,"Regular physical exercise mediates health and longevity promotion involving Sirtuin 1 (SIRT1)-regulated pathways. The anti-aging activity of SIRT1 is achieved, at least in part, by means of fine-tuning the adenosine monophosphate (AMP)-activated protein kinase (AMPK) pathway by preventing the transition of an originally pro-survival program into a pro-aging mechanism. Additionally, SIRT1 promotes mitochondrial function and reduces the production of reactive oxygen species (ROS) through regulating peroxisome proliferator-activated receptor ? coactivator 1? (PGC-1?), the master controller of mitochondrial biogenesis. Here, by using senescence-accelerated mice prone 8 (SAMP8) as a model for aging, we determined the effect of wheel-running as a paradigm for long-term voluntary exercise on SIRT1-AMPK pathway and mitochondrial functionality measured by oxidative phosphorylation (OXPHOS) complex content in the hippocampus and cortex. We found differential activation of SIRT1 in both tissues and hippocampal-specific activation of AMPK. These findings correlated well with significant changes in OXPHOS in the hippocampal, but not in the cerebral cortex, area. Collectively, the results revealed greater benefits of the exercise in the wheel-running intervention in a murine model of senescence, which was directly related with mitochondrial function and which was mediated through the modulation of SIRT1 and AMPK pathways. " 2014 Springer Science+Business Media New York.
dc.relationScopus
dc.relationWOS
dc.relationJournal of Molecular Neuroscience
dc.relation55
dc.relation2
dc.relation525
dc.relation532
dc.titleVoluntary Exercise Promotes Beneficial Anti-aging Mechanisms in SAMP8 Female Brain
dc.typeArticle in Press


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