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1A. R. Forrest ; H. Kawaji ; M. Rehli ; J. K. Baillie ; M. J. de Hoon ; V. Haberle ; T. Lassmann ; I. V. Kulakovskiy ; M. Lizio ; M. Itoh ; R. Andersson ; C. J. Mungall ; T. F. Meehan ; S. Schmeier ; N. Bertin ; M. Jorgensen ; E. Dimont ; E. Arner ; C. Schmidl ; U. Schaefer ; Y. A. Medvedeva ; C. Plessy ; M. Vitezic ; J. Severin ; C. Semple ; Y. Ishizu ; R. S. Young ; M. Francescatto ; I. Alam ; D. Albanese ; G. M. Altschuler ; T. Arakawa ; J. A. Archer ; P. Arner ; M. Babina ; S. Rennie ; P. J. Balwierz ; A. G. Beckhouse ; S. Pradhan-Bhatt ; J. A. Blake ; A. Blumenthal ; B. Bodega ; A. Bonetti ; J. Briggs ; F. Brombacher ; A. M. Burroughs ; A. Califano ; C. V. Cannistraci ; D. Carbajo ; Y. Chen ; M. Chierici ; Y. Ciani ; H. C. Clevers ; E. Dalla ; C. A. Davis ; M. Detmar ; A. D. Diehl ; T. Dohi ; F. Drablos ; A. S. Edge ; M. Edinger ; K. Ekwall ; M. Endoh ; H. Enomoto ; M. Fagiolini ; L. Fairbairn ; H. Fang ; M. C. Farach-Carson ; G. J. Faulkner ; A. V. Favorov ; M. E. Fisher ; M. C. Frith ; R. Fujita ; S. Fukuda ; C. Furlanello ; M. Furino ; J. Furusawa ; T. B. Geijtenbeek ; A. P. Gibson ; T. Gingeras ; D. Goldowitz ; J. Gough ; S. Guhl ; R. Guler ; S. Gustincich ; T. J. Ha ; M. Hamaguchi ; M. Hara ; M. Harbers ; J. Harshbarger ; A. Hasegawa ; Y. Hasegawa ; T. Hashimoto ; M. Herlyn ; K. J. Hitchens ; S. J. Ho Sui ; O. M. Hofmann ; I. Hoof ; F. Hori ; L. Huminiecki ; K. Iida ; T. Ikawa ; B. R. Jankovic ; H. Jia ; A. Joshi ; G. Jurman ; B. Kaczkowski ; C. Kai ; K. Kaida ; A. Kaiho ; K. Kajiyama ; M. Kanamori-Katayama ; A. S. Kasianov ; T. Kasukawa ; S. Katayama ; S. Kato ; S. Kawaguchi ; H. Kawamoto ; Y. I. Kawamura ; T. Kawashima ; J. S. Kempfle ; T. J. Kenna ; J. Kere ; L. M. Khachigian ; T. Kitamura ; S. P. Klinken ; A. J. Knox ; M. Kojima ; S. Kojima ; N. Kondo ; H. Koseki ; S. Koyasu ; S. Krampitz ; A. Kubosaki ; A. T. Kwon ; J. F. Laros ; W. Lee ; A. Lennartsson ; K. Li ; B. Lilje ; L. Lipovich ; A. Mackay-Sim ; R. Manabe ; J. C. Mar ; B. Marchand ; A. Mathelier ; N. Mejhert ; A. Meynert ; Y. Mizuno ; D. A. de Lima Morais ; H. Morikawa ; M. Morimoto ; K. Moro ; E. Motakis ; H. Motohashi ; C. L. Mummery ; M. Murata ; S. Nagao-Sato ; Y. Nakachi ; F. Nakahara ; T. Nakamura ; Y. Nakamura ; K. Nakazato ; E. van Nimwegen ; N. Ninomiya ; H. Nishiyori ; S. Noma ; T. Noazaki ; S. Ogishima ; N. Ohkura ; H. Ohimiya ; H. Ohno ; M. Ohshima ; M. Okada-Hatakeyama ; Y. Okazaki ; V. Orlando ; D. A. Ovchinnikov ; A. Pain ; R. Passier ; M. Patrikakis ; H. Persson ; S. Piazza ; J. G. Prendergast ; O. J. Rackham ; J. A. Ramilowski ; M. Rashid ; T. Ravasi ; P. Rizzu ; M. Roncador ; S. Roy ; M. B. Rye ; E. Saijyo ; A. Sajantila ; A. Saka ; S. Sakaguchi ; M. Sakai ; H. Sato ; S. Savvi ; A. Saxena ; C. Schneider ; E. A. Schultes ; G. G. Schulze-Tanzil ; A. Schwegmann ; T. Sengstag ; G. Sheng ; H. Shimoji ; Y. Shimoni ; J. W. Shin ; C. Simon ; D. Sugiyama ; T. Sugiyama ; M. Suzuki ; N. Suzuki ; R. K. Swoboda ; P. A. t Hoen ; M. Tagami ; N. Takahashi ; J. Takai ; H. Tanaka ; H. Tatsukawa ; Z. Tatum ; M. Thompson ; H. Toyodo ; T. Toyoda ; E. Valen ; M. van de Wetering ; L. M. van den Berg ; R. Verado ; D. Vijayan ; I. E. Vorontsov ; W. W. Wasserman ; S. Watanabe ; C. A. Wells ; L. N. Winteringham ; E. Wolvetang ; E. J. Wood ; Y. Yamaguchi ; M. Yamamoto ; M. Yoneda ; Y. Yonekura ; S. Yoshida ; S. E. Zabierowski ; P. G. Zhang ; X. Zhao ; S. Zucchelli ; K. M. Summers ; H. Suzuki ; C. O. Daub ; J. Kawai ; P. Heutink ; W. Hide ; T. C. Freeman ; B. Lenhard ; V. B. Bajic ; M. S. Taylor ; V. J. Makeev ; A. Sandelin ; D. A. Hume ; P. Carninci ; Y. Hayashizaki
Nature Publishing Group (NPG)
Published 2014Staff ViewPublication Date: 2014-03-29Publisher: Nature Publishing Group (NPG)Print ISSN: 0028-0836Electronic ISSN: 1476-4687Topics: BiologyChemistry and PharmacologyMedicineNatural Sciences in GeneralPhysicsKeywords: Animals ; *Atlases as Topic ; Cell Line ; Cells, Cultured ; Cluster Analysis ; Conserved Sequence/genetics ; Gene Expression Regulation/genetics ; Gene Regulatory Networks/genetics ; Genes, Essential/genetics ; Genome/genetics ; Humans ; Mice ; *Molecular Sequence Annotation ; Open Reading Frames/genetics ; Organ Specificity ; Promoter Regions, Genetic/*genetics ; RNA, Messenger/analysis/genetics ; Transcription Factors/metabolism ; Transcription Initiation Site ; Transcription, Genetic/genetics ; Transcriptome/*geneticsPublished by: -
2FURLANELLO, F. ; BERTOLDI, A. ; DALLAGO, M. ; FURLANELLO, C. ; FERNANDO, F. ; INAMA, G. ; PAPPONE, C. ; CHIERCHIA, S.
Oxford, UK : Blackwell Publishing Ltd
Published 1998Staff ViewISSN: 1540-8159Source: Blackwell Publishing Journal Backfiles 1879-2005Topics: MedicineNotes: Arrhythmogenic right ventricular dysplasia (ARVD) is a predisposing factor for sportrelated cardiac arrest (CA), sudden cardiac death (SD). and life-threatening ventricular tachyarrhythmias (VT). The aim of this study was the assessment of athletes with ARVD, particularly the CA survivors. From 1974 to January 1996, 1642 competitive athletes (aver. 25.5 yr.), 136 of whom were top level athletes (TLA), were studied for important arrhythmic manifestations. All athletes underwent an individualised study protocol including a series of non invasive and invasive diagnostic techniques. One hundred and one athletes (90 males, 11 females, aver. 25.9 yr.) were diagnosed as being affected by ARVD on the basis of the WHO/ISFC criteria. The same percentage (about 6%) of ARVD is present in both the general arrhythmic athletes population and in the subgroup of TLA. Prevalence of ARVD among athletes with CA or SD is high (respectively 23% and 25%), confirming the observation that ARVD is one of the major causes of SD in Italian athletes. All CA were athletic activity related, indicating the potentiality of exercise as a cause of electrical destabilisation in subjects with ARVD. In athletes with documented ARVD intense sport activity has to be proscribed. In athletes at risk of CA or SD an aggressive treatment, ICD implantation and RF catheter ablation must be taken into consideration.Type of Medium: Electronic ResourceURL: -
3Staff View
ISSN: 1432-0770Source: Springer Online Journal Archives 1860-2000Topics: BiologyComputer SciencePhysicsNotes: Abstract A memory-based system for autonomous indoor navigation is presented. The system was implemented as a follow-midline reflex on a robot that moves along the corridors of our institute. The robot estimates its position in the environment by comparing the visual input with images contained in its memory. Spatial positions are represented by classes. Memories are formed during a learning phase by encoding labeled images. The output of the system is the a posteriori probability distribution of the classes, given an input image. During performance, an image is assigned to the class that maximizes the probability. This work shows that extensive use of memory can reduce information processing to a simple and flexible procedure, without the need of complicated and specific preprocessing. The system is shown to be reliable, with good generalization capability. With learning limited to a small part of a corridor, the robot navigates along the entire corridor. Furthermore, it is able to move in other corridors of different shape, with different illumination conditions.Type of Medium: Electronic ResourceURL: -
4Staff View
ISSN: 1432-0770Source: Springer Online Journal Archives 1860-2000Topics: BiologyComputer SciencePhysicsNotes: Abstract A memory-based system for autonomous indoor navigation is presented. The system was implemented as a follow-midline reflex on a robot that moves along the corridors of our institute. The robot estimates its position in the environment by comparing the visual input with images contained in its memory. Spatial positions are represented by classes. Memories are formed during a learning phase by encoding labeled images. The output of the system is the a posteriori probability distribution of the classes, given an input image. During performance, an image is assigned to the class that maximizes the probability. This work shows that extensive use of memory can reduce information processing to a simple and flexible procedure, without the need of complicated and specific preprocessing. The system is shown to be reliable, with good generalization capability. With learning limited to a small part of a corridor, the robot navigates along the entire corridor. Furthermore, it is able to move in other corridors of different shape, with different illumination conditions.Type of Medium: Electronic ResourceURL: