Institution
Memorial University of Newfoundland
Education•St. John's, Newfoundland and Labrador, Canada•
About: Memorial University of Newfoundland is a education organization based out in St. John's, Newfoundland and Labrador, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 13818 authors who have published 27785 publications receiving 743594 citations. The organization is also known as: Memorial University & Memorial University of Newfoundland and Labrador.
Topics: Population, Context (language use), Health care, Gadus, Computer science
Papers published on a yearly basis
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166 citations
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University of California, San Diego1, National Oceanography Centre2, University of Texas at Austin3, Alfred Wegener Institute for Polar and Marine Research4, University Corporation for Atmospheric Research5, Monterey Bay Aquarium Research Institute6, Memorial University of Newfoundland7, University of Glasgow8, Office of Ocean Exploration and Research9, Louisiana State University10, University of Technology, Sydney11, University of the Azores12, National Oceanic and Atmospheric Administration13, New South Wales Department of Primary Industries14, Monterey Institute of International Studies15, Japan Agency for Marine-Earth Science and Technology16, University of Washington17, Centre national de la recherche scientifique18, Deakin University19, Australian Institute of Marine Science20, University of Geneva21, Chinese Academy of Sciences22, National Institute of Ocean Technology23, Woods Hole Oceanographic Institution24
TL;DR: In this article, the authors discuss the scientific need for globally integrated deep-ocean observing, its status, and the key scientific questions and societal mandates driving observing requirements over the next decade.
Abstract: The deep ocean below 200 m water depth is the least observed, but largest habitat on our planet by volume and area. Over 150 years of exploration has revealed that this dynamic system provides critical climate regulation, houses a wealth of energy, mineral, and biological resources, and represents a vast repository of biological diversity. A long history of deep-ocean exploration and observation led to the initial concept for the Deep-Ocean Observing Strategy (DOOS), under the auspices of the Global Ocean Observing System (GOOS). Here we discuss the scientific need for globally integrated deep-ocean observing, its status, and the key scientific questions and societal mandates driving observing requirements over the next decade. We consider the Essential Ocean Variables (EOVs) needed to address deep-ocean challenges within the physical, biogeochemical, and biological/ecosystem sciences according to the Framework for Ocean Observing (FOO), and map these onto scientific questions. Opportunities for new and expanded synergies among deep-ocean stakeholders are discussed, including academic-industry partnerships with the oil and gas, mining, cable and fishing industries, the ocean exploration and mapping community, and biodiversity conservation initiatives. Future deep-ocean observing will benefit from the greater integration across traditional disciplines and sectors, achieved through demonstration projects and facilitated reuse and repurposing of existing deep-sea data efforts. We highlight examples of existing and emerging deep-sea methods and technologies, noting key challenges associated with data volume, preservation, standardization, and accessibility. Emerging technologies relevant to deep-ocean sustainability and the blue economy include novel genomics approaches, imaging technologies, and ultra-deep hydrographic measurements. Capacity building will be necessary to integrate capabilities into programs and projects at a global scale. Progress can be facilitated by Open Science and Findable, Accessible, Interoperable, Reusable (FAIR) data principles and converge on agreed to data standards, practices, vocabularies, and registries. We envision expansion of the deep-ocean observing community to embrace the participation of academia, industry, NGOs, national governments, international governmental organizations, and the public at large in order to unlock critical knowledge contained in the deep ocean over coming decades, and to realize the mutual benefits of thoughtful deep-ocean observing for all elements of a sustainable ocean.
166 citations
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TL;DR: In this article, the surfaces of Green Arrow pea and Eston lentil starches were modified after heat treatment, but the results showed that bonding forces within the amorphous regions of the granule, crystallite orientation and granule surface were altered during heat treatment.
165 citations
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United States Department of Health and Human Services1, Research Triangle Park2, University of Leicester3, University of Washington4, University of Nottingham5, University of Virginia6, Erasmus University Rotterdam7, University of Basel8, Swiss Tropical and Public Health Institute9, University of Greifswald10, University of Bristol11, University of Iceland12, University of Groningen13, University of New Mexico14, Cornell University15, Brigham and Women's Hospital16, National Institutes of Health17, King's College London18, Memorial University of Newfoundland19, Medical Research Council20, Harvard University21, Columbia University22, Imperial College London23, University of Texas Health Science Center at Houston24, Uppsala University25, University of Oxford26, University of North Carolina at Chapel Hill27, Wake Forest University28, Broad Institute29, Veterans Health Administration30, Ghent University31, Boston University32, United States Department of Veterans Affairs33, Cedars-Sinai Medical Center34, Florida International University35, University of Auckland36, Technische Universität München37, University Medical Center Groningen38, University of Geneva39, Group Health Research Institute40, University of Tennessee Health Science Center41, University of Cambridge42, University of Oulu43, St George's, University of London44
TL;DR: In this paper, the authors conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity(FEV (1)/FVC).
Abstract: Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00×10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35×10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28×10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.
165 citations
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TL;DR: The study shows that in spite of obvious differences between the two environments and the analytical approaches employed in each case, the analyses of fatty acid biomarkers can provide relevant ecological information.
165 citations
Authors
Showing all 13990 results
Name | H-index | Papers | Citations |
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Daniel Levy | 212 | 933 | 194778 |
Rakesh K. Jain | 200 | 1467 | 177727 |
Peter W.F. Wilson | 181 | 680 | 139852 |
Martin G. Larson | 171 | 620 | 117708 |
Peter B. Jones | 145 | 1857 | 94641 |
Dafna D. Gladman | 129 | 1036 | 75273 |
Guoyao Wu | 122 | 764 | 56270 |
Fereidoon Shahidi | 119 | 951 | 57796 |
David Harvey | 115 | 738 | 94678 |
Robert C. Haddon | 112 | 577 | 52712 |
Se-Kwon Kim | 102 | 763 | 39344 |
John E. Dowling | 94 | 305 | 28116 |
Mark J. Sarnak | 94 | 393 | 42485 |
William T. Greenough | 93 | 200 | 29230 |
Soottawat Benjakul | 92 | 891 | 34336 |