4 research outputs found

    Olfactory capabilities of sharks: an anatomical and molecular comparative approach

    No full text
    Theoretical thesis.Bibliography: pages 52-66.Chapter 1. General introduction -- Chapter 2. Anatomical characteristics of the olfactory organ of sharks -- Chapter 3. Molecular characteristics of the olfactory organ of sharks -- Chapter 4. General discussion -- Final conclusions and further directions -- Supplementary electronic material -- References.Sharks rely heavily on the sense of smell, and their olfactory apparatus has likely evolved to suit the differing lifestyle requirements of each species. Unfortunately, the selective pressures that shape the various physical traits of the olfactory organ of sharks, and their effect on olfactory capabilities, are poorly understood. Here, a multidisciplinary approach combining microscopic and transcriptomic techniques was used to characterise the olfactory organs of two shark species: the pelagic, shortfin mako (Isurus oxyrinchus) and the benthic blind shark (Brachaelurus waddi). The total sensory surface area of the olfactory organs-a traditional proxy of olfactory capabilities-is relatively larger in I. oxyrinchus due to greater coverage of sensory epithelium and more extensive secondary folding of the lamellae. However, examination of the de novo transcriptomes reveals a more diversified olfactory receptor repertoire in B. waddi. These findings suggest that sharks may rely on different olfactory strategies (i.e. more extensive olfactory organs and/or more diversified receptor repertoires) that may be related to the characteristics of the flow within their olfactory organs, their ecology or phylogeny. Consequently, multidisciplinary studies considering the anatomical and molecular traits of the olfactory system of sharks are required to fully comprehend the olfactory capabilities of this group -- abstract.Mode of access: Internet.1 online resource (x, 80 pages) illustration

    Computing Activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment in the LHC Run3 period and towards High Luminosity (HL-LHC)

    No full text
    The ATLAS Spanish Tier-1 and Tier-2s have more than 18 years of experience in the deployment and development of LHC computing components and their successful operation. The sites are actively participating in, and even coordinating, R&D computing activities in the LHC Run3 and developing the computing models needed in the HL-LHC period. In this contribution, we present details on the integration of some components, such as HPC computing resources to execute ATLAS simulation workflows; the development of new techniques to improve efficiency in a cost-effective way; and improvements in Data Organization, Management and Access through storage consolidations, the use of data Caches, and improving experiment data catalogues, through contributions such as Event Index. The design and deployment of novel analysis facilities using GPUs together with CPUs and techniques like Machine Learning will also be presented. ATLAS Tier-1 and Tier-2 sites in Spain, are, and will be, contributing to significant R&D in computing and evaluating different models for improving performance of computing and data storage capacity in the LHC High Luminosity era

    Computing Activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment in the LHC Run3 period and towards High Luminosity (HL-LHC)

    No full text
    The ATLAS Spanish Tier-1 and Tier-2s have more than 18 years of experience in the deployment and development of LHC computing components and their successful operations. The sites are actively participating in, and even coordinating, R&D computing activities in the LHC Run3 and developing the computing models needed in HL-LHC period. In this contribution, we present details on the integration of some components, such as HPC computing resources to execute ATLAS simulation workflows; the development of new techniques to improve efficiency in a cost-effective way; and improvements in Data Organization, Management and Access through storage consolidations, the use of data Caches, and improving experiment data catalogues, like Event Index. The design and deployment of novel analysis facilities using GPUs together with CPUs and techniques like Machine Learning will also be presented. ATLAS Tier-1 and Tier-2 sites in Spain are, and will be, contributing to significant R&D in computing, evaluating different models for improving performance of computing and data storage capacity in the LHC High Luminosity era
    corecore