Institution
European Academy of Bozen
Government•Bolzano, Italy•
About: European Academy of Bozen is a government organization based out in Bolzano, Italy. It is known for research contribution in the topics: Computer science & Environmental science. The organization has 94 authors who have published 116 publications receiving 5211 citations.
Topics: Computer science, Environmental science, Geology, Snow, Precipitation
Papers published on a yearly basis
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TL;DR: A new phasing algorithm, Eagle2, is introduced that attains high accuracy across a broad range of cohort sizes by efficiently leveraging information from large external reference panels (such as the Haplotype Reference Consortium; HRC) using a new data structure based on the positional Burrows-Wheeler transform.
Abstract: Po-Ru Loh, Alkes Price and colleagues present Eagle2, a reference-based phasing algorithm that allows for highly accurate and efficient phasing of genotypes across a broad range of cohort sizes. They demonstrate an approximately 10% improvement in accuracy and 20% improvement in speed compared to a competing method, SHAPEIT2.
1,246 citations
California Institute of Technology1, Agricultural Research Service2, University of Tsukuba3, University of Guelph4, University of Texas at Austin5, Princeton University6, Kuwait University7, University of Valencia8, University of Salamanca9, Agriculture and Agri-Food Canada10, University of Southern California11, European Academy of Bozen12, University of Grenoble13, Finnish Meteorological Institute14, National Autonomous University of Mexico15, University of Twente16, Comisión Nacional de Actividades Espaciales17, Vienna University of Technology18, Monash University19, Goddard Space Flight Center20, Massachusetts Institute of Technology21
TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance as mentioned in this paper.
487 citations
Zoological Society of London1, University of Würzburg2, German Aerospace Center3, University of Twente4, Wageningen University and Research Centre5, University of Dundee6, Higher University of San Andrés7, University of New South Wales8, University of Zurich9, United Nations Environment Programme10, European Academy of Bozen11, Universities Space Research Association12, Murray State University13, Azim Premji University14, Goddard Space Flight Center15, University of Maryland, College Park16, European Space Agency17, Stellenbosch University18, Carnegie Institution for Science19, University of Ottawa20, Pennsylvania State University21, African Institute of Science and Technology22, Helmholtz Centre for Environmental Research - UFZ23, Edmund Mach Foundation24, Office of Environment and Heritage25, Australian Museum26, Spanish National Research Council27, Council for Scientific and Industrial Research28, University of Granada29, Monash University, Clayton campus30, NASA Headquarters31, Minnesota Department of Natural Resources32, Museum für Naturkunde33, Finnish Environment Institute34, Stockholm Resilience Centre35
TL;DR: This contribution aims to advance the development of a global biodiversity monitoring strategy by updating the previously published definition of EBV, providing a definition of satellite remote sensing EBVs and introducing a set of principles that are believed to be necessary if ecologists and space agencies are to agree on a list of EBVs that can be routinely monitored from space.
Abstract: Although satellite-based variables have for long been expected to be key components to a unified and global biodiversity monitoring strategy, a definitive and agreed list of these variables still remains elusive. The growth of interest in biodiversity variables observable from space has been partly underpinned by the development of the essential biodiversity variable (EBV) framework by the Group on Earth Observations – Biodiversity Observation Network, which itself was guided by the process of identifying essential climate variables. This contribution aims to advance the development of a global biodiversity monitoring strategy by updating the previously published definition of EBV, providing a definition of satellite remote sensing (SRS) EBVs and introducing a set of principles that are believed to be necessary if ecologists and space agencies are to agree on a list of EBVs that can be routinely monitored from space. Progress toward the identification of SRS-EBVs will require a clear understanding of what makes a biodiversity variable essential, as well as agreement on who the users of the SRS-EBVs are. Technological and algorithmic developments are rapidly expanding the set of opportunities for SRS in monitoring biodiversity, and so the list of SRS-EBVs is likely to evolve over time. This means that a clear and common platform for data providers, ecologists, environmental managers, policy makers and remote sensing experts to interact and share ideas needs to be identified to support long-term coordinated actions.
249 citations
Boston University1, Washington University in St. Louis2, University of Michigan3, University of Washington4, University of North Carolina at Chapel Hill5, University of Texas Health Science Center at Houston6, Icahn School of Medicine at Mount Sinai7, University of Greifswald8, Los Angeles Biomedical Research Institute9, Columbia University Medical Center10, George Washington University11, University of Cambridge12, University of Bristol13, University College London14, University of Liverpool15, University of Leicester16, University of Wisconsin–Milwaukee17, Brigham and Women's Hospital18, Vanderbilt University Medical Center19, Wake Forest University20, Erasmus University Rotterdam21, University of Mississippi Medical Center22, Bill & Melinda Gates Foundation23, University of Iceland24, Harvard University25, Broad Institute26, Glenfield Hospital27, Technische Universität München28, King Abdulaziz University29, Queen Mary University of London30, European Academy of Bozen31, University of Regensburg32, National Institutes of Health33, Pennington Biomedical Research Center34, Cedars-Sinai Medical Center35, Northwestern University36, Johns Hopkins University School of Medicine37, Greifswald University Hospital38, National Yang-Ming University39, Chung Shan Medical University40, Wake Forest Baptist Medical Center41, Geneva College42
TL;DR: This large collection of blood pressure–associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
Abstract: Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
218 citations
TL;DR: In this paper, the authors investigated the role played by networking capability in destination management and destination success and found that the effect of networking capability works through increased DMO authority, i.e. enhanced power and acceptance of the DMO within the destination network.
206 citations
Authors
Showing all 123 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Andrew A. Hicks | 80 | 228 | 49771 |
| Peter P. Pramstaller | 74 | 205 | 40783 |
| Christian Fuchsberger | 57 | 142 | 30320 |
| Arne Pfeufer | 52 | 95 | 12509 |
| Man Li | 51 | 143 | 23816 |
| Ulrike Tappeiner | 49 | 207 | 7783 |
| Cosetta Minelli | 48 | 146 | 8914 |
| Erich Tasser | 36 | 98 | 3963 |
| Albert Zink | 35 | 139 | 4532 |
| Francisco S. Domingues | 31 | 74 | 4993 |
| Claudia Notarnicola | 30 | 244 | 3387 |
| Giuseppe Paglia | 29 | 71 | 2886 |
| Frank Maixner | 26 | 61 | 3625 |
| Harald Pechlaner | 25 | 345 | 3136 |
| Johannes Rainer | 24 | 60 | 2345 |