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9 results for “lexis”
The LEXIS Distributed Data Infrastructure: Demonstrator System
<p><strong>The LEXIS Distributed Data Infrastructure: Demonstrator System</strong><br> by: LEXIS Project and Work Package 3 Team</p> <p>Project Lead: IT4Innovations National Supercomputing Centre (Czech Republic)<br> Work Package 3 Lead: Leibniz Supercomputing Centre (LRZ, Garching b. M., Germany)</p> <p>The enormous amounts of data generated in modern industry, business and science pose a significant challenge to those extracting actionable intelligence from data, using various filtering and analysis techniques. In this "Big Data" setting, the LEXIS project (Large-scale EXecution for Industry & Society) provides a user-friendly portal and platform for optimised execution of mixed Cloud-HPC (HPC: High-Performance Computing) workflows. The system will rely on advanced, distributed orchestration solutions (Bull Ystia Orchestrator, based on TOSCA and Alien4Cloud technologies), the High-End Application Execution Middleware HEAppE, and new hardware capabilities for maximizing efficiency in data processing, analysis and transfer (e.g. Burst Buffers with GPU- and FPGA-based data reprocessing).</p> <p>LEXIS handles computation tasks and data from three Pilots, based on representative and demanding HPC/Cloud-Computing use cases in Industry and Science: i) compute-/data-intensive and time-consuming simulations of turbo-machinery and gearbox systems in Aeronautics, ii) Earthquake and Tsunami simulations which are accelerated to enable accurate real-time analysis, and iii) Weather and Climate HPC simulations where massive amounts of in situ data are assimilated to improve forecasts.</p> <p>Here, we introduce and show a demonstrator of the LEXIS Distributed Data Infrastructure (DDI), the core data back-end of the LEXIS project. The DDI provides a unified "File Space" for LEXIS, across the participating sites and computing centres. Based on iRODS (irods.org) and EUDAT-B2SAFE (eudat.eu), it will ensure reliable and efficient access to large datasets in the Terabyte range and beyond. We have prepared virtual machine templates for the LEXIS Cloud resources which implement a Demonstrator of the LEXIS DDI. The system, once instantiated, consists of two iRODS-iCAT (provider) servers, representing the LRZ and IT4I iRODS zones, and of two client machines for access to the distributed data management system. Thus, interested colleagues can explore the possibilities offered by this system on an "own" demonstrator instance. Please contact us at info[at]lexis-project.eu if you are interested.</p>
LEXIS Platform Architecture Scheme
<p>This image contains current version of the <a href="https://lexis-project.eu/web/lexis-platform/">LEXIS platform architecture</a>, which has been created during the LEXIS project.</p> <p>The architecture is divided in three top-level layers:</p> <ol> <li> <p>The LEXIS Portal Layer, providing easy access to the LEXIS platform for Pilots and possible external users,</p> </li> <li> <p>The LEXIS Services Layer, running on top of the infrastructure layer. It includes federated security Infrastructure (Authentication & Authorization Infrastructure, AAI), data management (Data Distribution Infrastructure, DDI), and orchestration services (Orchestrator),</p> </li> <li> <p>The HPC/Cloud Infrastructure Layer, focusing on the interactions among HPC and Cloud hardware systems to provide the computing power and data storage space to the upper layers. It is implemented as a federation of multiple HPC providers and data centres.</p> </li> </ol> <p>Please refer to the project WP2 (co-design) deliverables at <a href="https://lexis-project.eu/web/outcomes/deliverables/">https://lexis-project.eu/web/outcomes/deliverables/</a> for more information.</p>
LEXIS Turbomachinary use case: T106 profile test case
<p>The test case for T106 profile in a linear cascade. Cascade rigs are a way to test in a simple way various turbomachinery blades. Blades are cylindrical, which means equal 2D sections from hub to tip wall, and repeated tangentially according to the specified pitch. In this case, end walls are linear, not cylindrical and not tapered. The dataset contains an</p> <ul> <li>excel file with <ul> <li>description of the airfoil (x, y coordinates in [mm])</li> <li>geometric pitch /chord data, aspect ratio (parallel end walls)</li> <li>entry boundary conditions <ul> <li>total pressure</li> <li>total temperature</li> <li>flow angle</li> </ul> </li> <li>outlet boundary condition <ul> <li>static pressure</li> </ul> </li> <li>Reynold number (120 000)</li> <li>Velocity at the exit (Mach = 0,59</li> </ul> </li> <li>OpenFOAM input files for <ul> <li>serial run (Allrun)</li> <li>parallel run (Allrun_parallel)</li> </ul> </li> <li>PDF file with the description of the case and obtained results</li> </ul>
Lexis and tradition: variation in the vocabulary of Sanskrit Mahāyāna literature - datasets
<p>Lexical datasets containing annotated concordances of words pertaining to the conceptual domains of language and conceptualisation in Buddhist Sanskrit Literature. The smaller dataset contains linguistic annotations, the larger only metadata. The concordances have been taken from the segmented Sanskrit corpus 10.5281/zenodo.3526665.</p> <p>These datasets have been created as part of the project 'Lexis and Tradition: variation in the vocabulary of Sanskrit Mahāyāna literature', funded by the British Academy through a Newton International Fellowship (NF161436) and hosted at the Department of Theology and Religious Studies at King's College London under the supervision of Prof. Henrietta Kate Crosby. </p> <p>Dr. Bruno Galasek-Hul and Luis Quiñones have assisted me with semantic annotations thanks to funding from the Mangalam Research Center.</p> <p>The repository also contains R scripts for text clustering on the basis of the lexical data provided.</p> <p>the annotated dataset can be interactively explored at:</p> <ol> <li> <a href="https://ligeialugli.shinyapps.io/VisualDictionaryOfBuddhistSanskrit/">https://ligeialugli.shinyapps.io/VisualDictionaryOfBuddhistSanskrit/</a></li> <li> <a href="https://ligeialugli.shinyapps.io/VisualDictionaryOfBuddhistSanskrit/">https://ligeialugli.shinyapps.io/VisualThesaurusOfBuddhistSanskrit/</a></li> </ol> <p>Updated versions 1.1-1.2 correct some mistakes in metadata and add a few new lemmata.</p> <p> </p>
Clinical Validation of the Lexie Lumen Hearing Aid
ClinicalTrials.gov study NCT05337748. IPD Sharing: NO. Countries: 1. Publications: 3.
Comparing Self-Fitting Strategies in the Lexie Powered by Bose Hearing Aids
ClinicalTrials.gov study NCT05782153. IPD Sharing: NO. Countries: 1. Publications: 10.
Feedback regulation of cholesterol metabolism by LeXis, a lipid-responsive non-coding RNA
GEO Series GSE77793. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Mouse Liver LeXis overexpression
GEO Series GSE77802. Mus musculus. 8 samples. Type: Expression profiling by array.
Assessing Functional Outcomes and User Experience of the Lexie B3 Pro Powered by Bose Over-the-counter Self-Fitting Hearing Aid
ClinicalTrials.gov study NCT06878300. IPD Sharing: NO. Countries: 0. Publications: 0.
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