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  • 1
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    In:  Geophys. Res. Lett., Amsterdam, Schweizerbart'sche Verlagsbuchhandlung, vol. 19, no. 2, pp. 1539-1542, pp. L07302, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Publication Date: 1992
    Keywords: Crustal deformation (cf. Earthquake precursor: deformation or strain) ; Geodesy ; GRL
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  • 2
    Publication Date: 2019
    Electronic ISSN: 2398-9629
    Topics: Biology
    Published by Springer Nature
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  • 3
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    Nature Publishing Group (NPG)
    Publication Date: 2012-02-03
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shrestha, Uttam Babu -- England -- Nature. 2012 Feb 1;482(7383):35. doi: 10.1038/482035b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22297957" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biodiversity ; *Endangered Species ; Humans ; Medicine, East Asian Traditional/*economics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2012-03-24
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shrestha, Uttam Babu -- New York, N.Y. -- Science. 2012 Mar 23;335(6075):1439-40. doi: 10.1126/science.335.6075.1439-b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22442460" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2015-07-15
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schoggins, John W -- MacDuff, Donna A -- Imanaka, Naoko -- Gainey, Maria D -- Shrestha, Bimmi -- Eitson, Jennifer L -- Mar, Katrina B -- Richardson, R Blake -- Ratushny, Alexander V -- Litvak, Vladimir -- Dabelic, Rea -- Manicassamy, Balaji -- Aitchison, John D -- Aderem, Alan -- Elliott, Richard M -- Garcia-Sastre, Adolfo -- Racaniello, Vincent -- Snijder, Eric J -- Yokoyama, Wayne M -- Diamond, Michael S -- Virgin, Herbert W -- Rice, Charles M -- K01 DK095031/DK/NIDDK NIH HHS/ -- R00 AI095320/AI/NIAID NIH HHS/ -- R01 AI032972/AI/NIAID NIH HHS/ -- R01 AI091707/AI/NIAID NIH HHS/ -- R01 AI102597/AI/NIAID NIH HHS/ -- R01 AI104972/AI/NIAID NIH HHS/ -- England -- Nature. 2015 Sep 3;525(7567):144. doi: 10.1038/nature14555. Epub 2015 Jul 8.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26153856" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2013-11-29
    Description: The type I interferon (IFN) response protects cells from viral infection by inducing hundreds of interferon-stimulated genes (ISGs), some of which encode direct antiviral effectors. Recent screening studies have begun to catalogue ISGs with antiviral activity against several RNA and DNA viruses. However, antiviral ISG specificity across multiple distinct classes of viruses remains largely unexplored. Here we used an ectopic expression assay to screen a library of more than 350 human ISGs for effects on 14 viruses representing 7 families and 11 genera. We show that 47 genes inhibit one or more viruses, and 25 genes enhance virus infectivity. Comparative analysis reveals that the screened ISGs target positive-sense single-stranded RNA viruses more effectively than negative-sense single-stranded RNA viruses. Gene clustering highlights the cytosolic DNA sensor cyclic GMP-AMP synthase (cGAS, also known as MB21D1) as a gene whose expression also broadly inhibits several RNA viruses. In vitro, lentiviral delivery of enzymatically active cGAS triggers a STING-dependent, IRF3-mediated antiviral program that functions independently of canonical IFN/STAT1 signalling. In vivo, genetic ablation of murine cGAS reveals its requirement in the antiviral response to two DNA viruses, and an unappreciated contribution to the innate control of an RNA virus. These studies uncover new paradigms for the preferential specificity of IFN-mediated antiviral pathways spanning several virus families.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077721/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077721/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schoggins, John W -- MacDuff, Donna A -- Imanaka, Naoko -- Gainey, Maria D -- Shrestha, Bimmi -- Eitson, Jennifer L -- Mar, Katrina B -- Richardson, R Blake -- Ratushny, Alexander V -- Litvak, Vladimir -- Dabelic, Rea -- Manicassamy, Balaji -- Aitchison, John D -- Aderem, Alan -- Elliott, Richard M -- Garcia-Sastre, Adolfo -- Racaniello, Vincent -- Snijder, Eric J -- Yokoyama, Wayne M -- Diamond, Michael S -- Virgin, Herbert W -- Rice, Charles M -- 099220/Wellcome Trust/United Kingdom -- AI057158/AI/NIAID NIH HHS/ -- AI057160/AI/NIAID NIH HHS/ -- AI083025/AI/NIAID NIH HHS/ -- AI091707/AI/NIAID NIH HHS/ -- AI095611/AI/NIAID NIH HHS/ -- AI104972/AI/NIAID NIH HHS/ -- DK095031/DK/NIDDK NIH HHS/ -- G0801822/Medical Research Council/United Kingdom -- GM076547/GM/NIGMS NIH HHS/ -- GM103511/GM/NIGMS NIH HHS/ -- HHSN266200700010C/PHS HHS/ -- HHSN272200900041CU19/CU/CSP VA/ -- K01 DK095031/DK/NIDDK NIH HHS/ -- R00 AI095320/AI/NIAID NIH HHS/ -- R01 AI032972/AI/NIAID NIH HHS/ -- R01 AI091707/AI/NIAID NIH HHS/ -- R01 AI102597/AI/NIAID NIH HHS/ -- R01 AI104972/AI/NIAID NIH HHS/ -- T32 AI005284/AI/NIAID NIH HHS/ -- T32 AR007279/AR/NIAMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Jan 30;505(7485):691-5. doi: 10.1038/nature12862. Epub 2013 Nov 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, New York 10065, USA [2] Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA (J.W.S.); MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland G61 1QH, UK (R.M.E.). ; Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, New York 10065, USA. ; Rheumatology Division, Department of Medicine, and Howard Hughes Medical Institute, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Infectious Diseases Division, Department of Medicine and Department of Molecular Microbiology, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA. ; 1] Seattle Biomedical Research Institute, Seattle, Washington 98109, USA [2] Institute for Systems Biology, Seattle, Washington 98109, USA. ; Seattle Biomedical Research Institute, Seattle, Washington 98109, USA. ; Department of Microbiology and Immunology, Columbia University, New York, New York 10032, USA. ; Department of Microbiology, University of Chicago, Chicago, Illinois 60637, USA. ; 1] School of Biology, University of St Andrews, St Andrews, Scotland KY16 9ST, UK [2] Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA (J.W.S.); MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland G61 1QH, UK (R.M.E.). ; 1] Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA [2] Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA [3] Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. ; Department of Medical Microbiology, Leiden University Medical Center, Leiden 2300 RC, The Netherlands. ; 1] Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri 63110, USA [2] Infectious Diseases Division, Department of Medicine and Department of Molecular Microbiology, Washington University School of Medicine, St Louis, Missouri 63110, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24284630" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cluster Analysis ; DNA Viruses/immunology/pathogenicity ; Flow Cytometry ; Gene Library ; Immunity, Innate/*genetics/*immunology ; Interferon Regulatory Factor-3/immunology/metabolism ; Interferons/*immunology/metabolism ; Membrane Proteins/metabolism ; Mice ; Mice, Knockout ; Nucleotidyltransferases/deficiency/genetics/*immunology/*metabolism ; RNA Viruses/immunology/pathogenicity ; STAT1 Transcription Factor/metabolism ; Substrate Specificity ; Viruses/classification/*immunology/pathogenicity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2012-11-03
    Description: The Journal of Organic Chemistry DOI: 10.1021/jo301894s
    Print ISSN: 0022-3263
    Electronic ISSN: 1520-6904
    Topics: Chemistry and Pharmacology
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  • 8
    Publication Date: 2016-01-19
    Description: ABSTRACT Climate change impact studies depend on projections of future climate provided by climate models. The number of climate models is large and increasing, yet limitations in computational capacity make it necessary to compromise the number of climate models that can be included in a climate change impact study. The selection of climate models is not straightforward and can be done by following different methods. Usually, the selection is either based on the entire range of changes in climatic variables as projected by the total ensemble of available climate models or on the skill of climate models to simulate past climate. The present study combines these approaches in a three-step sequential climate model selection procedure: (1) initial selection of climate models based on the range of projected changes in climatic means, (2) refined selection based on the range of projected changes in climatic extremes and (3) final selection based on the climate model skill to simulate past climate. This procedure is illustrated for a study area covering the Indus, Ganges and Brahmaputra river basins. Subsequently, the changes in climate between 1971–2000 and 2071–2100 are analysed, showing that the future climate projections in this area are highly uncertain but that changes are imminent.
    Print ISSN: 0899-8418
    Electronic ISSN: 1097-0088
    Topics: Geosciences , Physics
    Published by Wiley
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  • 9
    Publication Date: 2016-05-21
    Description: ABSTRACT The Koshi river basin is a sub-basin of the Ganges shared among China, Nepal, and India. The river system has a high potential for investment in hydropower development and for irrigation in downstream areas. The upper part of the basin contains a substantial reserve of freshwater in the form of snow and glaciers. Climate variability, climate change, and climate extremes might impact on these reserves, and in turn impact on systems that support livelihoods, such as agriculture, biodiversity and related ecosystem services. Climatological variability and trends over the Koshi river basin were studied using RClimDex. Daily temperature data (20 stations) and precipitation data (50 stations) from 1975 to 2010 were used in the analysis. The results show that the frequency and intensity of weather extremes are increasing. The daily maximum temperature (TXx) increased by 0.1 °C decade −1 on average between 1975 and 2010 and the minimum (TNn) by 0.3 °C decade −1 . The number of warm nights increased at all stations. Most of the extreme temperature indices showed a consistently different pattern in the mountains than in the Indo-Gangetic plains, although not all results were statistically significant. The warm days (TX90p), warm nights (TN90p), warm spell duration (WSDI), and diurnal temperature range (DTR) increased at most of the mountain stations; whereas monthly maximum and minimum values of daily maximum temperature, TX90p, cool nights (TN10p), WSDI, cold spell duration indicator (CSDI), DTR decreased at the stations in the Indo-Gangetic plains, while the number of cold days increased. There was an increase in total annual rainfall and rainfall intensity, although no clear long-term linear trend, whereas the number of consecutive dry days increased at almost all stations. The results indicate that the risk of extreme climate events over the basin is increasing, which will increase people's vulnerability and has strong policy implications.
    Print ISSN: 0899-8418
    Electronic ISSN: 1097-0088
    Topics: Geosciences , Physics
    Published by Wiley
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  • 10
    Publication Date: 2014-06-26
    Description: The impact of climate change on the water resources and hydrology of High Asia is uncertain. This work uses a cryospheric hydrological model to quantify the hydrology of five major rivers in the region and project future water availability. Runoff is expected to increase until at least 2050 due to an increase in precipitation in the upper catchment of four rivers and increased melt entering the fifth river. Nature Climate Change 4 587 doi: 10.1038/nclimate2237
    Print ISSN: 1758-678X
    Electronic ISSN: 1758-6798
    Topics: Geosciences
    Published by Springer Nature
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