dc.contributorCotton, R.G.H., Genomic Disorders Research Centre, St. Vincent's Hospital Melbourne, 35 Victoria Parade, Melbourne, Vic. 3065, Australia; Appelbe, W., Victorian Partnership for Advanced Computing, Melbourne, Vic., Australia; Auerbach, A.D., Rockefeller University, New York, NY, United States; Becker, K., National Institute on Aging, Bethesda, MD, United States; Bodmer, W., Weatherall Institute of Molecular Medicine, Oxford, United Kingdom; Boone, D.J., National Center for Health Marketing, US Centers for Disease Control and Prevention, Atlanta, GA, United States; Boulyjenkov, V., World Health Organization, Geneva, Switzerland; Brahmachari, S., Institute of Genomics and Integrative Biology, Delhi, India; Brody, L., National Human Genome Research Institute, Bethesda, MD, United States; Brookes, A., University of Leicester, Leicester, United Kingdom; Brown, A.F., Medical Research Council, Human Genetics Unit, Edinburgh, United Kingdom; Byers, P., University of Washington, Seattle, WA, United States; Maria Cantu, J., Universidad de Guadalajara, Guadalajara, Mexico; Cassiman, J.-J., Center for Human Genetics, University of Leuven, Leuven, Belgium; Claustres, M., CHU de Montpellier, Montpellier, France; Concannon, P., Benaroya Research Institute at Virginia Mason, Seattle, WA, United States; Cotton, R.G.H., Genomic Disorders Research Centre, Melbourne, Vic., Australia; Den Dunnen, J.T., Leiden University Medical Center, Leiden, Netherlands; Flicek, P., European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom; Gibbs, R., Baylor College of Medicine, Baylor, TX, United States; Hall, J., University of British Columbia, Vancouver, BC, Canada; Hasler, J., Natural Sciences Sector, United Nations Educational, Scientific and Cultural Organization (UNESCO), Paris, France; Katz, M., March of Dimes Birth Defects Foundation, Mamaroneck, NY, France; Kwok, P.-Y., University of California San Francisco, San Francisco, CA, United States; Laradi, S., Facultd de Pharmacie, Monastir, Tunisia; Lindblom, A., Karolinska Institutet, Stockholm, Sweden; Maglott, D., National Center for Biotechnology Information (NCBI), US National Institutes of Health (NIH), Bethesda, MD, United States; Marsh, S., Anthony Nolan Research Institute, United Kingdom; Masimirembwa, C.M., African Institute of Biomedical Science and Technology, Harare, Zimbabwe; Minoshima, S., Hamamatsu University School of Medicine, Hamamatsu, Japan; De Ramirez, A.M.O., Centro de Estudio de Las Metabolopatías Congénitas (CEMECO), National University of Córdoba, Santísima Trinidad Children's Hospital, Córdoba, Argentina; Pagon, R., University of Washington, Seattle, WA, United States; Ramesar, R., University of Cape Town, Cape Town, South Africa; Ravine, D., Royal Perth Hospital, Perth, WA, Australia; Richards, S., Oregon Health and Science University, Portland, OR, United States; Rimoin, D., Cedars-Sinai Medical Center, Los Angeles, CA, United States; Ring, H.Z., NIH Pharmacogenetics Research Network, Bethesda, MD, United States; Scriver, C.R., Montreal Children's Hospital Research Institute, Montreal, Que., Canada; Sherry, S., Karolinska Institutet, Stockholm, Sweden; Shimizu, N., Keio University School of Medicine, Tokyo, Japan; Stein, L., Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, United States; Tadmouri, G.O., Centre for Arab Genomic Studies, Dubai, United Arab Emirates; Taylor, G., St. James' University Hospital, Leeds, United Kingdom; Watson, M., American College of Medical Genetics, Bethesda, MD, United States
dc.creatorCotton, R.G.H.
dc.creatorAppelbe, W.
dc.creatorAuerbach, A.D.
dc.creatorBecker, K.
dc.creatorBodmer, W.
dc.creatorBoone, D.J.
dc.creatorBoulyjenkov, V.
dc.creatorBrahmachari, S.
dc.creatorBrody, L.
dc.creatorBrookes, A.
dc.creatorBrown, A.F.
dc.creatorByers, P.
dc.creatorMaria Cantu, J.
dc.creatorCassiman, J.-J.
dc.creatorClaustres, M.
dc.creatorConcannon, P.
dc.creatorCotton, R.G.H.
dc.creatorDen Dunnen, J.T.
dc.creatorFlicek, P.
dc.creatorGibbs, R.
dc.creatorHall, J.
dc.creatorHasler, J.
dc.creatorKatz, M.
dc.creatorKwok, P.-Y.
dc.creatorLaradi, S.
dc.creatorLindblom, A.
dc.creatorMaglott, D.
dc.creatorMarsh, S.
dc.creatorMasimirembwa, C.M.
dc.creatorMinoshima, S.
dc.creatorDe Ramirez, A.M.O.
dc.creatorPagon, R.
dc.date.accessioned2015-09-15T18:48:22Z
dc.date.accessioned2023-07-04T01:40:40Z
dc.date.available2015-09-15T18:48:22Z
dc.date.available2023-07-04T01:40:40Z
dc.date.created2015-09-15T18:48:22Z
dc.date.issued2007
dc.identifierhttp://hdl.handle.net/20.500.12104/44092
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84921044734&partnerID=40&md5=35febed7c5b7d4331e1b23dd1ed46b63
dc.identifier10.1016/j.neucom.2014.10.031
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7258674
dc.description.abstractLists of variations in genomic DNA and their effects have been kept for some time and have been used in diagnostics and research. Although these lists have been carefully gathered and curated, there has been little standardization and coordination, complicating their use. Given the myriad possible variations in the estimated 24,000 genes in the human genome, it would be useful to have standard criteria for databases of variation. Incomplete collection and ascertainment of variants demonstrates a need for a universally accessible system. These and other problems led to the World Heath Organization-cosponsored meeting on June 20-23, 2006 in Melbourne, Australia, which launched the Human Variome Project. This meeting addressed all areas of human genetics relevant to collection of information on variation and its effects. Members of each of eight sessions (the clinic and phenotype, the diagnostic laboratory, the research laboratory, curation and collection, informatics, relevance to the emerging world, integration and federation and funding and sustainability) developed a number of recommendations that were then organized into a total of 96 recommendations to act as a foundation for future work worldwide. Here we summarize the background of the project, the meeting and its recommendations. " 2007 Nature Publishing Group.",,,,,,"10.1038/ng2024",,,"http://hdl.handle.net/20.500.12104/44111","http://www.scopus.com/inward/record.url?eid=2-s2.0-34047165392&partnerID=40&md5=47cd959de030ae3441c58e7f29705c96",,,,,,"4",,"Nature Genetics",,"433
dc.description.abstract436",,"39",,"Scopus",,,,,,,,,,,,"Recommendations of the 2006 Human Variome Project meeting",,"Review" "45881","123456789/35008",,"Vargas-Zúñiga, R., Universidad De Guadalajara, Mexico; Pedro Solís-Cámara, R., Universidad De Guadalajara, Mexico",,"Vargas-Zuniga, R.
dc.description.abstractPedro Solis-Camara, R.",,"2013",,"The Kansas Reflection-Impulsivity Scale for Preschoolers (KRISP) was developed in the 70's of the last century for testing the cognitive styles of reflection-impulsivity (R-I). Later, research studies pointed out some deficiencies of the KRISP as a measure of R-I styles; however, researchers are still using the KRISP, probably because it is the sole scale available to test preschoolers' styles. The aim of the present study was to develop an improved version of the scale for the assessment of R-I in preschoolers. Participants were 59 preschoolers with a mean age of 3.4 years (SD = 0.39). Several methodological strategies allowed the authors to develop a 10-itemversion of the scale. Analyses with this new version indicated alpha Cronbach coefficients of.82 for latencies and of.67 for total errors. The obtained correlation between latency and errors was -.36 (p =.002). Based on these analyses a new version of the scale, called KRISP-R, is proposed. The importance of carrying out research studies of the new scale but with bigger samples and variables that have been traditionally related with the R-I styles is also discussed.",,,,,,,,,"http://hdl.handle.net/20.500.12104/44102","http://www.scopus.com/inward/record.url?eid=2-s2.0-84901686367&partnerID=40&md5=46e1cdd92b540066458e43e8780b0363",,,,,,"1",,"Acta Colombiana de Psicologia",,"115
dc.description.abstract121",,"16",,"Scopus",,,,,,"Cognitive styles; KRISP; KRISP-R; Preschoolers; Reflection-impulsivity",,,,,,"Rebuilding the kansas reflection-impulsivity scale for preschoolers (KRISP) [Reconstruyendo la escala kansas de reflexión-impulsividad para preescolares (KRISP)]",,"Article" "45871","123456789/35008",,"Lopez, V.G., CINVESTAV, Unidad Guadalajara, Apartado Postal 31-438 Plaza La LunaGuadalajara, Jalisco, Mexico; Alanis, A.Y., CUCEI, Universidad de Guadalajara, Apartado Postal 51-71, Col. Las AguilasZapopan, Jalisco, Mexico; Sanchez, E.N., CINVESTAV, Unidad Guadalajara, Apartado Postal 31-438 Plaza La LunaGuadalajara, Jalisco, Mexico; Rivera, J., CUCEI, Universidad de Guadalajara, Apartado Postal 51-71, Col. Las AguilasZapopan, Jalisco, Mexico",,"Lopez, V.G.
dc.description.abstractAlanis, A.Y.
dc.description.abstractSanchez, E.N.
dc.description.abstractRivera, J.",,"2015",,"A reduced order state estimator based on recurrent high-order neural networks (RHONN) trained using an extended Kalman filter (EKF) is designed for the magnetic fluxes of a linear induction motor (LIM). The proposed state estimator does not need the mathematical model of the plant. This state estimator is employed to obtain the unmeasurable state variables of the LIM in order to use a state feedback nonlinear controller. A neural inverse optimal control is implemented to achieve trajectory tracking for a position reference. Real-time implementation results on a LIM prototype illustrate the applicability of the proposed scheme. " 2014 Elsevier B.V.
dc.relationScopus
dc.relationWOS
dc.relationNeurocomputing
dc.relation152
dc.relation403
dc.relation412
dc.titleReal-time implementation of neural optimal control and state estimation for a linear induction motor
dc.typeArticle


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