Showing papers by "Memorial University of Newfoundland published in 2020"
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McMaster University1, University of Pennsylvania2, University of Calgary3, Libin Cardiovascular Institute of Alberta4, Dalhousie University5, University of Alberta6, Alexandra Hospital7, Laval University8, University of Ottawa9, Concordia University10, Ottawa Hospital11, University of British Columbia12, Heart and Stroke Foundation of Canada13, Florida International University14, Queen's University15, University of Toronto16, Alberta Health Services17, Centre for Addiction and Mental Health18, University Health Network19, University of Minnesota20, York University21, Université de Sherbrooke22, Centre Hospitalier Universitaire de Sherbrooke23, Simon Fraser University24, Vancouver Island Health Authority25, Foothills Medical Centre26, University of Saskatchewan27, Population Health Research Institute28, St. Michael's Hospital29, St. John's University30, Memorial University of Newfoundland31
TL;DR: Obesity is a complex chronic disease in which abnormal or excess body fat (adiposity) impairs health, increases the risk of long-term medical complications and reduces lifespan.
Abstract: KEY POINTS
Obesity is a complex chronic disease in which abnormal or excess body fat (adiposity) impairs health, increases the risk of long-term medical complications and reduces lifespan.[1][1] Epidemiologic studies define obesity using the body mass index (BMI; weight/height2), which can stratify
457 citations
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TL;DR: A meta-analysis investigation of recent peer-reviewed GEE articles focusing on several features, including data, sensor type, study area, spatial resolution, application, strategy, and analytical methods confirmed that GEE has and continues to make substantive progress on global challenges involving process of geo-big data.
Abstract: Google Earth Engine (GEE) is a cloud-based geospatial processing platform for large-scale environmental monitoring and analysis. The free-to-use GEE platform provides access to (1) petabytes of publicly available remote sensing imagery and other ready-to-use products with an explorer web app; (2) high-speed parallel processing and machine learning algorithms using Google’s computational infrastructure; and (3) a library of Application Programming Interfaces (APIs) with development environments that support popular coding languages, such as JavaScript and Python. Together these core features enable users to discover, analyze and visualize geospatial big data in powerful ways without needing access to supercomputers or specialized coding expertise. The development of GEE has created much enthusiasm and engagement in the remote sensing and geospatial data science fields. Yet after a decade since GEE was launched, its impact on remote sensing and geospatial science has not been carefully explored. Thus, a systematic review of GEE that can provide readers with the “big picture” of the current status and general trends in GEE is needed. To this end, the decision was taken to perform a meta-analysis investigation of recent peer-reviewed GEE articles focusing on several features, including data, sensor type, study area, spatial resolution, application, strategy, and analytical methods. A total of 349 peer-reviewed articles published in 146 different journals between 2010 and October 2019 were reviewed. Publications and geographical distribution trends showed a broad spectrum of applications in environmental analyses at both regional and global scales. Remote sensing datasets were used in 90% of studies while 10% of the articles utilized ready-to-use products for analyses. Optical satellite imagery with medium spatial resolution, particularly Landsat data with an archive exceeding 40 years, has been used extensively. Linear regression and random forest were the most frequently used algorithms for satellite imagery processing. Among ready-to-use products, the normalized difference vegetation index (NDVI) was used in 27% of studies for vegetation, crop, land cover mapping and drought monitoring. The results of this study confirm that GEE has and continues to make substantive progress on global challenges involving process of geo-big data.
438 citations
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Radcliffe Institute for Advanced Study1, University of St Andrews2, University of Konstanz3, Max Planck Society4, Memorial University of Newfoundland5, King Abdullah University of Science and Technology6, Yale University7, Aarhus University8, University of La Rochelle9, North Carolina State University10, North Carolina Museum of Natural Sciences11, Goethe University Frankfurt12, Boston University13, Radboud University Nijmegen14
TL;DR: Reduced human mobility during the pandemic will reveal critical aspects of the authors' impact on animals, providing important guidance on how best to share space on this crowded planet.
Abstract: Reduced human mobility during the pandemic will reveal critical aspects of our impact on animals, providing important guidance on how best to share space on this crowded planet
357 citations
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TL;DR: In this paper, a bathymetric sill in Sherard Osborn Fjord, northwest Greenland shields Ryder Glacier from melting by warm Atlantic water found at the bottom of the fjord.
Abstract: The processes controlling advance and retreat of outlet glaciers in fjords draining the Greenland Ice Sheet remain poorly known, undermining assessments of their dynamics and associated sea-level rise in a warming climate. Mass loss of the Greenland Ice Sheet has increased six-fold over the last four decades, with discharge and melt from outlet glaciers comprising key components of this loss. Here we acquired oceanographic data and multibeam bathymetry in the previously uncharted Sherard Osborn Fjord in northwest Greenland where Ryder Glacier drains into the Arctic Ocean. Our data show that warmer subsurface water of Atlantic origin enters the fjord, but Ryder Glacier’s floating tongue at its present location is partly protected from the inflow by a bathymetric sill located in the innermost fjord. This reduces under-ice melting of the glacier, providing insight into Ryder Glacier’s dynamics and its vulnerability to inflow of Atlantic warmer water. A bathymetric sill in Sherard Osborn Fjord, northwest Greenland shields Ryder Glacier from melting by warm Atlantic water found at the bottom of the fjord, according to high-resolution bathymetric mapping and oceanographic data.
288 citations
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Xishuangbanna Tropical Botanical Garden1, Boston University2, University of Montpellier3, University of Vienna4, Memorial University of Newfoundland5, National University of Singapore6, Arthur Rylah Institute for Environmental Research7, James Hutton Institute8, James Cook University9, University of Wisconsin-Madison10, Portland State University11, University of Guelph12
TL;DR: This editorial can only be a snapshot of a quickly evolving situation, but it hopes that it can offer some encouragement and insights for colleagues in lockdown and how the conservation community must be ready to respond.
267 citations
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TL;DR: In this paper, it was shown that the naive limit of the higher-dimensional Gauss-Bonnet theory to D = 4 is not well defined and contrast the resultant metrics with the actual solutions of the new theory.
Abstract: We comment on the recently introduced Gauss-Bonnet gravity in four dimensions. We argue that it does not make sense to consider this theory to be defined by a set of D → 4 solutions of the higher-dimensional Gauss-Bonnet gravity. We show that a well-defined D → 4 limit of Gauss-Bonnet Gravity is obtained generalizing a method employed by Mann and Ross to obtain a limit of the Einstein gravity in D = 2 dimensions. This is a scalar-tensor theory of the Horndeski type obtained by dimensional reduction methods. By considering simple spacetimes beyond spherical symmetry (Taub-NUT spaces) we show that the naive limit of the higher-dimensional theory to D = 4 is not well defined and contrast the resultant metrics with the actual solutions of the new theory.
191 citations
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Durham University1, Charles University in Prague2, Memorial University of Newfoundland3, McGill University4, Dalhousie University5, Minnesota Department of Natural Resources6, Alberta Geological Survey7, University of Wisconsin-Madison8, Laurentian University9, University of Exeter10, Université du Québec à Rimouski11, Geological Survey of Canada12, University of Maine13, University at Buffalo14, Laval University15, Université du Québec à Montréal16, Oregon State University17, Simon Fraser University18, University of Illinois at Urbana–Champaign19, Government of Quebec20, Western Washington University21, State University of New York at Plattsburgh22, University of Copenhagen23, University of Wisconsin–Milwaukee24, University of Minnesota25, University of Gothenburg26, Western Michigan University27, University College Dublin28, Geological Survey of Denmark and Greenland29, Indiana University30, University of Cincinnati31, Norwegian University of Science and Technology32, Université de Montréal33, Tufts University34, University of Waterloo35, University of Manitoba36, Alberta Environment37
TL;DR: The most up-to-date and authoritative margin chronology for the entire ice sheet complex is featured in two publications (Geological Survey of Canada Open File 1574 [Dyke et al., 2003] and as mentioned in this paper ).
171 citations
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TL;DR: It is argued that the collective power of combining diverse data will transcend the limited value of the individual data sets and produce unexpected insights and create future networks, observatories and policies that are more adept in protecting biological diversity across the world.
171 citations
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University of British Columbia1, Memorial University of Newfoundland2, University of Paris3, National Autonomous University of Mexico4, Scottish Association for Marine Science5, École Normale Supérieure6, University of Kiel7, University of Tasmania8, Woods Hole Oceanographic Institution9, Leibniz Institute for Neurobiology10, University of East Anglia11, Ocean Conservancy12, UNESCO13, Instituto Politécnico Nacional14, Alfred Wegener Institute for Polar and Marine Research15, University of São Paulo16, Centre national de la recherche scientifique17
TL;DR: In this article, the authors recommend key strategies to address these challenges, including stronger integration of sciences and ocean-observing systems, improved science-policy interfaces, new partnerships supported by a new ocean-climate finance system, and improved ocean literacy and education to modify social norms and behaviors.
Abstract: The health of the ocean, central to human well-being, has now reached a critical point. Most fish stocks are overexploited, climate change and increased dissolved carbon dioxide are changing ocean chemistry and disrupting species throughout food webs, and the fundamental capacity of the ocean to regulate the climate has been altered. However, key technical, organizational, and conceptual scientific barriers have prevented the identification of policy levers for sustainability and transformative action. Here, we recommend key strategies to address these challenges, including (1) stronger integration of sciences and (2) ocean-observing systems, (3) improved science-policy interfaces, (4) new partnerships supported by (5) a new ocean-climate finance system, and (6) improved ocean literacy and education to modify social norms and behaviors. Adopting these strategies could help establish ocean science as a key foundation of broader sustainability transformations.
164 citations
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TL;DR: Application of the integrated DEMATEL methodology with Best-Worst method (BWM) and Bayesian network (BN) is illustrated by adopting a case study of safety management in the high-tech industry.
163 citations
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TL;DR: Guselkumab, a human monoclonal antibody that specifically inhibits IL-23 by binding the cytokine's p19 subunit, was efficacious and demonstrated an acceptable benefit-risk profile in patients with active psoriatic arthritis who were naive to treatment with biologics.
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TL;DR: From this literature review of DT, it was found that asset integrity monitoring, project planning, and life cycle management are the key application areas of digital twin in the O&G industry while cyber security, lack of standardization, and uncertainty in scope and focus are theKey challenges of DT deployment in the o-G industry.
Abstract: With the emergence of industry 4.0, the oil and gas (O&G) industry is now considering a range of digital technologies to enhance productivity, efficiency, and safety of their operations while minimizing capital and operating costs, health and environment risks, and variability in the O&G project life cycles. The deployment of emerging technologies allows O&G companies to construct digital twins (DT) of their assets. Considering DT adoption, the O&G industry is still at an early stage with implementations limited to isolated and selective applications instead of industry-wide implementation, limiting the benefits from DT implementation. To gain the full potential of DT and related technological adoption, a comprehensive understanding of DT technology, the current status of O&G-related DT research activities, and the opportunities and challenges associated with the deployment of DT in the O&G industry are of paramount importance. In order to develop this understanding, this paper presents a literature review of DT within the context of the O&G industry. The paper follows a systematic approach to select articles for the literature review. First, a keywords-based publication search was performed on the scientific databases such as Elsevier, IEEE Xplore, OnePetro, Scopus, and Springer. The filtered articles were then analyzed using online text analytic software (Voyant Tools) followed by a manual review of the abstract, introduction and conclusion sections to select the most relevant articles for our study. These articles and the industrial publications cited by them were thoroughly reviewed to present a comprehensive overview of DT technology and to identify current research status, opportunities and challenges of DT deployment in the O&G industry. From this literature review, it was found that asset integrity monitoring, project planning, and life cycle management are the key application areas of digital twin in the O&G industry while cyber security, lack of standardization, and uncertainty in scope and focus are the key challenges of DT deployment in the O&G industry. When considering the geographical distribution for the DT related research in the O&G industry, the United States (US) is the leading country, followed by Norway, United Kingdom (UK), Canada, China, Italy, Netherland, Brazil, Germany, and Saudi Arabia. The overall publication rate was less than ten articles (approximately) per year until 2017, and a significant increase occurred in 2018 and 2019. The number of journal publications was noticeably lower than the number of conference publications, and the majority of the publications presented theoretical concepts rather than the industrial implementations. Both these observations suggest that the DT implementation in the O&G industry is still at an early stage.
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Chinese Academy of Sciences1, Met Office2, Columbia University3, University of California, San Diego4, St. Francis Xavier University5, Silver Spring Networks6, Memorial University of Newfoundland7, IFREMER8, Hobart Corporation9, University of Graz10, University of Vienna11, Pacific Marine Environmental Laboratory12, University of Bremen13, European Centre for Medium-Range Weather Forecasts14, Johns Hopkins University Applied Physics Laboratory15, ETH Zurich16, University of Leeds17, Yale University18, Woods Hole Oceanographic Institution19
TL;DR: Von Schuckmann et al. as mentioned in this paper presented an updated assessment of ocean warming estimates as well as new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018.
Abstract: . Human-induced atmospheric composition changes cause a radiative imbalance at
the top of the atmosphere which is driving global warming. This Earth energy imbalance (EEI) is the most critical number defining the prospects for continued global warming and climate change. Understanding the heat gain of
the Earth system – and particularly how much and where the heat is
distributed – is fundamental to understanding how this affects warming
ocean, atmosphere and land; rising surface temperature; sea level; and loss
of grounded and floating ice, which are fundamental concerns for society.
This study is a Global Climate Observing System (GCOS) concerted
international effort to update the Earth heat inventory and presents an
updated assessment of ocean warming estimates as well as new and updated estimates
of heat gain in the atmosphere, cryosphere and land over the period
1960–2018. The study obtains a consistent long-term Earth system heat gain
over the period 1971–2018, with a total heat gain of 358±37 ZJ,
which is equivalent to a global heating rate of 0.47±0.1 W m −2 .
Over the period 1971–2018 (2010–2018), the majority of heat gain is reported
for the global ocean with 89 % (90 %), with 52 % for both periods in
the upper 700 m depth, 28 % (30 %) for the 700–2000 m depth layer and 9 % (8 %) below 2000 m depth. Heat gain over land amounts to 6 %
(5 %) over these periods, 4 % (3 %) is available for the melting of
grounded and floating ice, and 1 % (2 %) is available for atmospheric warming. Our
results also show that EEI is not only continuing, but also increasing: the EEI
amounts to 0.87±0.12 W m −2 during 2010–2018. Stabilization of
climate, the goal of the universally agreed United Nations Framework Convention on Climate
Change (UNFCCC) in 1992 and the Paris
Agreement in 2015, requires that EEI be reduced to approximately zero to
achieve Earth's system quasi-equilibrium. The amount of CO2 in the
atmosphere would need to be reduced from 410 to 353 ppm to increase heat
radiation to space by 0.87 W m −2 , bringing Earth back towards energy
balance. This simple number, EEI, is the most fundamental metric that the
scientific community and public must be aware of as the measure of how well
the world is doing in the task of bringing climate change under control, and
we call for an implementation of the EEI into the global stocktake based on
best available science. Continued quantification and reduced uncertainties
in the Earth heat inventory can be best achieved through the maintenance of
the current global climate observing system, its extension into areas of
gaps in the sampling, and the establishment of an international framework for
concerted multidisciplinary research of the Earth heat inventory as
presented in this study. This Earth heat inventory is published at the German Climate Computing Centre (DKRZ, https://www.dkrz.de/ , last access: 7 August 2020) under the DOI
https://doi.org/10.26050/WDCC/GCOS_EHI_EXP_v2
(von Schuckmann et al., 2020).
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The Centre for Applied Genomics1, University of Toronto2, Illumina3, Mayo Clinic4, University of California, Davis5, Holland Bloorview Kids Rehabilitation Hospital6, Montreal Neurological Institute and Hospital7, Memorial University of Newfoundland8, University of British Columbia9, Queen's University10, Dalhousie University11, Halifax12, Centre for Addiction and Mental Health13, University of Alberta14, Autism Speaks15
TL;DR: Genome-wide analysis of tandem DNA repeats in the genomes of individuals with autism spectrum disorder and control participants reveals a strong contribution of tandem repeat expansions to the genetic aetiology and phenotypic complexity of Autism spectrum disorder.
Abstract: Tandem DNA repeats vary in the size and sequence of each unit (motif). When expanded, these tandem DNA repeats have been associated with more than 40 monogenic disorders1. Their involvement in disorders with complex genetics is largely unknown, as is the extent of their heterogeneity. Here we investigated the genome-wide characteristics of tandem repeats that had motifs with a length of 2–20 base pairs in 17,231 genomes of families containing individuals with autism spectrum disorder (ASD)2,3 and population control individuals4. We found extensive polymorphism in the size and sequence of motifs. Many of the tandem repeat loci that we detected correlated with cytogenetic fragile sites. At 2,588 loci, gene-associated expansions of tandem repeats that were rare among population control individuals were significantly more prevalent among individuals with ASD than their siblings without ASD, particularly in exons and near splice junctions, and in genes related to the development of the nervous system and cardiovascular system or muscle. Rare tandem repeat expansions had a prevalence of 23.3% in children with ASD compared with 20.7% in children without ASD, which suggests that tandem repeat expansions make a collective contribution to the risk of ASD of 2.6%. These rare tandem repeat expansions included previously undescribed ASD-linked expansions in DMPK and FXN, which are associated with neuromuscular conditions, and in previously unknown loci such as FGF14 and CACNB1. Rare tandem repeat expansions were associated with lower IQ and adaptive ability. Our results show that tandem DNA repeat expansions contribute strongly to the genetic aetiology and phenotypic complexity of ASD. Genome-wide analysis of tandem DNA repeats in the genomes of individuals with autism spectrum disorder and control participants reveals a strong contribution of tandem repeat expansions to the genetic aetiology and phenotypic complexity of autism spectrum disorder.
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TL;DR: In this paper, it was shown that the naive limit of the higher-dimensional Gauss-Bonnet theory to four dimensions is not well defined and contrast the resultant metrics with the actual solutions of the new theory.
Abstract: We comment on the recently introduced Gauss-Bonnet gravity in four dimensions. We argue that it does not make sense to consider this theory to be defined by a set of $D\to 4$ solutions of the higher-dimensional Gauss-Bonnet gravity. We show that a well-defined $D\to 4$ limit of Gauss-Bonnet Gravity is obtained generalizing a method employed by Mann and Ross to obtain a limit of the Einstein gravity in $D=2$ dimensions. This is a scalar-tensor theory of the Horndeski type obtained by a dimensional reduction methods. By considering simple spacetimes beyond spherical symmetry (Taub-NUT spaces) we show that the naive limit of the higher-dimensional theory to four dimensions is not well defined and contrast the resultant metrics with the actual solutions of the new theory.
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TL;DR: Biodiversity time series from temperate regions reveal that marine communities in warmer places gain species but lose individuals with warming, but colder environments show weaker trends, whereas no systematic relationships between biodiversity and temperature change were detectable for terrestrial communities.
Abstract: Climate change is reshaping global biodiversity as species respond to changing temperatures. However, the net effects of climate-driven species redistribution on local assemblage diversity remain unknown. Here, we relate trends in species richness and abundance from 21,500 terrestrial and marine assemblage time series across temperate regions (23.5–60.0° latitude) to changes in air or sea surface temperature. We find a strong coupling between biodiversity and temperature changes in the marine realm, where species richness mostly increases with warming. However, biodiversity responses are conditional on the baseline climate, such that in initially warmer locations richness increase is more pronounced while abundance declines with warming. In contrast, we do not detect systematic temperature-related richness or abundance trends on land, despite a greater magnitude of warming. As the world is committed to further warming, substantial challenges remain in maintaining local biodiversity amongst the non-uniform inflow and outflow of ‘climate migrants’. Temperature-driven community restructuring is especially evident in the ocean, whereas climatic debt may be accumulating on land. Biodiversity time series from temperate regions reveal that marine communities in warmer places gain species but lose individuals with warming, but colder environments show weaker trends, whereas no systematic relationships between biodiversity and temperature change were detectable for terrestrial communities.
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Stazione Zoologica Anton Dohrn1, Spanish National Research Council2, National Oceanography Centre, Southampton3, International Union for Conservation of Nature and Natural Resources4, Newcastle University5, University of Queensland6, Scripps Institution of Oceanography7, Hebrew University of Jerusalem8, Norwegian Institute for Water Research9, Monterey Bay Aquarium Research Institute10, University of Hawaii11, Memorial University of Newfoundland12, Jacobs University Bremen13, Duke University14, University of Hong Kong15
TL;DR: Analysis of expert elicitation methods indicates a wide consensus amongst deep-sea experts that monitoring should prioritize large organisms living in deep waters and in benthic habitats, whereas monitoring of ecosystem functioning should focus on trophic structure and biomass production.
Abstract: The deep sea (>200 m depth) encompasses >95% of the world's ocean volume and represents the largest and least explored biome on Earth (<0.0001% of ocean surface), yet is increasingly under threat from multiple direct and indirect anthropogenic pressures. Our ability to preserve both benthic and pelagic deep-sea ecosystems depends upon effective ecosystem-based management strategies and monitoring based on widely agreed deep-sea ecological variables. Here, we identify a set of deep-sea essential ecological variables among five scientific areas of the deep ocean: (1) biodiversity; (2) ecosystem functions; (3) impacts and risk assessment; (4) climate change, adaptation and evolution; and (5) ecosystem conservation. Conducting an expert elicitation (1,155 deep-sea scientists consulted and 112 respondents), our analysis indicates a wide consensus amongst deep-sea experts that monitoring should prioritize large organisms (that is, macro- and megafauna) living in deep waters and in benthic habitats, whereas monitoring of ecosystem functioning should focus on trophic structure and biomass production. Habitat degradation and recovery rates are identified as crucial features for monitoring deep-sea ecosystem health, while global climate change will likely shift bathymetric distributions and cause local extinction in deep-sea species. Finally, deep-sea conservation efforts should focus primarily on vulnerable marine ecosystems and habitat-forming species. Deep-sea observation efforts that prioritize these variables will help to support the implementation of effective management strategies on a global scale.
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University of Gothenburg1, University of St Andrews2, University of Edinburgh3, Martin Luther University of Halle-Wittenberg4, Denison University5, National Oceanography Centre6, Leipzig University7, Université de Sherbrooke8, Stanford University9, University of Aveiro10, University of Helsinki11, University of Minnesota12, Northern Illinois University13, University of Würzburg14, Memorial University of Newfoundland15
TL;DR: In this paper, the authors used multivariate statistics to examine the spatial relationships among anthropogenic change drivers and characterize the typical combinations of drivers experienced by different regions of the world and identify 11 ATCs that can be used to test hypotheses about patterns of biodiversity and ecosystem change, especially about the joint effects of multiple drivers.
Abstract: Climate change and other anthropogenic drivers of biodiversity change are unequally distributed across the world. Overlap in the distributions of different drivers have important implications for biodiversity change attribution and the potential for interactive effects. However, the spatial relationships among different drivers and whether they differ between the terrestrial and marine realm has yet to be examined.
We compiled global gridded datasets on climate change, land‐use, resource exploitation, pollution, alien species potential and human population density. We used multivariate statistics to examine the spatial relationships among the drivers and to characterize the typical combinations of drivers experienced by different regions of the world.
We found stronger positive correlations among drivers in the terrestrial than in the marine realm, leading to areas with high intensities of multiple drivers on land. Climate change tended to be negatively correlated with other drivers in the terrestrial realm (e.g. in the tundra and boreal forest with high climate change but low human use and pollution), whereas the opposite was true in the marine realm (e.g. in the Indo‐Pacific with high climate change and high fishing).
We show that different regions of the world can be defined by Anthropogenic Threat Complexes (ATCs), distinguished by different sets of drivers with varying intensities. We identify 11 ATCs that can be used to test hypotheses about patterns of biodiversity and ecosystem change, especially about the joint effects of multiple drivers.
Our global analysis highlights the broad conservation priorities needed to mitigate the impacts of anthropogenic change, with different priorities emerging on land and in the ocean, and in different parts of the world.
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TL;DR: A new and updated system for parvovirus classification is presented, which includes the introduction of a third subfamily, Hamaparvovirinae, resolves the paraphyly within genus Ambidensovirus, and introduces new genera and species into the subfamily ParvovIRinae.
Abstract: Parvoviridae, a diverse family of small single-stranded DNA viruses was established in 1975. It was divided into two subfamilies, Parvovirinae and Densovirinae, in 1993 to accommodate parvoviruses that infect vertebrate and invertebrate animals, respectively. This relatively straightforward segregation, using host association as the prime criterion for subfamily-level classification, has recently been challenged by the discovery of divergent, vertebrate-infecting parvoviruses, dubbed “chapparvoviruses”, which have proven to be more closely related to viruses in certain Densovirinae genera than to members of the Parvovirinae. Viruses belonging to these genera, namely Brevi-, Hepan- and Penstyldensovirus, are responsible for the unmatched heterogeneity of the subfamily Densovirinae when compared to the Parvovirinae in matters of genome organization, protein sequence homology, and phylogeny. Another genus of Densovirinae, Ambidensovirus, has challenged traditional parvovirus classification, as it includes all newly discovered densoviruses with an ambisense genome organization, which introduces genus-level paraphyly. Lastly, current taxon definition and virus inclusion criteria have significantly limited the classification of certain long-discovered parvoviruses and impedes the classification of some potential family members discovered using high-throughput sequencing methods. Here, we present a new and updated system for parvovirus classification, which includes the introduction of a third subfamily, Hamaparvovirinae, resolves the paraphyly within genus Ambidensovirus, and introduces new genera and species into the subfamily Parvovirinae. These proposals were accepted by the ICTV in 2020 March.
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Bjerknes Centre for Climate Research1, Utrecht University2, Université libre de Bruxelles3, Goddard Space Flight Center4, University of Bristol5, California Institute of Technology6, National Center for Atmospheric Research7, University of Reading8, Met Office9, University of Tokyo10, University of Leeds11, Université Paris-Saclay12, Lamont–Doherty Earth Observatory13, Goddard Institute for Space Studies14, University of Alaska Fairbanks15, Los Alamos National Laboratory16, Potsdam Institute for Climate Impact Research17, Hokkaido University18, University of California, Irvine19, King's College London20, University of Liège21, Victoria University of Wellington22, Alfred Wegener Institute for Polar and Marine Research23, University of Bremen24, GNS Science25, University of Liverpool26, University of Maryland, College Park27, University of St Andrews28, Scripps Institution of Oceanography29, Memorial University of Newfoundland30
TL;DR: In this article, the authors used a large ensemble of Greenland ice sheet models forced by output from a representative subset of the Coupled Model Intercomparison Project (CMIP5) global climate models to project ice sheet changes and sea-level rise contributions over the 21st century.
Abstract: . The Greenland ice sheet is one of the largest contributors to global mean
sea-level rise today and is expected to continue to lose mass as the Arctic
continues to warm. The two predominant mass loss mechanisms are increased
surface meltwater run-off and mass loss associated with the retreat of
marine-terminating outlet glaciers. In this paper we use a large ensemble of
Greenland ice sheet models forced by output from a representative subset of
the Coupled Model Intercomparison Project (CMIP5) global climate models to project ice sheet changes and sea-level rise
contributions over the 21st century. The simulations are part of the
Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We estimate the
sea-level contribution together with uncertainties due to future climate
forcing, ice sheet model formulations and ocean forcing for the two
greenhouse gas concentration scenarios RCP8.5 and RCP2.6. The results
indicate that the Greenland ice sheet will continue to lose mass in both
scenarios until 2100, with contributions of 90±50 and 32±17 mm to sea-level rise for RCP8.5 and RCP2.6, respectively. The largest
mass loss is expected from the south-west of Greenland, which is governed by
surface mass balance changes, continuing what is already observed today.
Because the contributions are calculated against an unforced control
experiment, these numbers do not include any committed mass loss, i.e. mass
loss that would occur over the coming century if the climate forcing
remained constant. Under RCP8.5 forcing, ice sheet model uncertainty
explains an ensemble spread of 40 mm, while climate model uncertainty and
ocean forcing uncertainty account for a spread of 36 and 19 mm,
respectively. Apart from those formally derived uncertainty ranges, the
largest gap in our knowledge is about the physical understanding and
implementation of the calving process, i.e. the interaction of the ice sheet
with the ocean.
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TL;DR: Anaerobic digestion (AD) is an effective process for waste management, pollution mitigation, renewable energy utilization, and greenhouse gas emissions reduction as mentioned in this paper, however, low temperature is one of the most limiting factors for the application of AD in many cold regions.
Abstract: Anaerobic digestion (AD) is an effective process for waste management, pollution mitigation, renewable energy utilization, and greenhouse gas emissions reduction. However, low temperature is one of the most limiting factors for the application of AD in many cold regions. To expand the applications of AD to larger areas in the world, many studies have been conducted to explore its potential under low-temperature conditions. The purpose of this article is to present a comprehensive review on recent progresses and findings in this field. The generation and management of manure in cold regions are summarized to demonstrate the potential capacity of AD. Advancements in theories and technologies that can improve the performance of anaerobic digestion in cold regions are thoroughly reviewed. The benefits of AD applications in terms of emission reduction are evaluated at global scale.
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TL;DR: To estimate the worldwide prevalence of obsessive-compulsive disorder, examine whether women are at greater risk than men, and explore other potential moderators of OCD prevalence to explain variability in community-based epidemiologic studies.
Abstract: Objective To estimate the worldwide prevalence of obsessive-compulsive disorder (OCD), examine whether women are at greater risk than men, and explore other potential moderators of OCD prevalence to explain variability in community-based epidemiologic studies Data sources An electronic search of PsycINFO and PubMed was conducted until January 2017, without date or language restrictions, using the keywords OCD, epidemiology, and prevalence The search was supplemented by articles referenced in the obtained sources and relevant reviews Study selection Studies were included if they reported current, period, and/or lifetime OCD prevalence (diagnosed according to an interview based on DSM or ICD criteria) in representative community samples of adults aged 18 years or older A total of 4,045 studies were retrieved, with 34 studies ultimately included Data extraction OCD prevalence was extracted from each study alongside 9 moderators: gender, year, response rate, region, economic status, diagnostic criteria, diagnostic interview, interviewer, and age Results The overall aggregate current, period, and lifetime OCD prevalence estimates were 11%, 08%, and 13%, respectively In a typical sample, women were 16 times more likely to experience OCD compared to men, with lifetime prevalence rates of 15% in women and 10% in men There was also a trend toward younger adults' being more likely to experience OCD in their lifetime than older adults All findings demonstrated moderate heterogeneity Conclusions Women are typically at greater risk of experiencing OCD in their lifetime than men
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TL;DR: A comprehensive review of MIP technologies reported in the literature for water analysis is provided and key performance criteria, such as adsorption capacity, imprinting factor, chromatographic retention factor, and cross-selectivity are critically evaluated.
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18 May 2020TL;DR: The goal of this review is to summarize current knowledge on the effects of temperature on energy homeostasis, with specific focus on metabolism, feeding, digestion, and how fish are often able to “adapt” to changing environments through phenotypic and physiological changes.
Abstract: As most fish are ectotherms, their physiology is strongly affected by temperature. Temperature affects their metabolic rate and thus their energy balance and behavior, including locomotor and feeding behavior. Temperature influences the ability/desire of the fish to obtain food, and how they process food through digestion, absorb nutrients within the gastrointestinal tract, and store excess energy. As fish display a large variability in habitats, feeding habits, and anatomical and physiological features, the effects of temperature are complex and species-specific. The effects of temperature depend on the timing, intensity, and duration of exposure as well as the speed at which temperature changes occur. Whereas acute short-term variations of temperature might have drastic, often detrimental, effects on fish physiology, long-term gradual variations might lead to acclimation, e.g. variations in metabolic and digestive enzyme profiles. The goal of this review is to summarize our current knowledge on the effects of temperature on energy homeostasis, with specific focus on metabolism, feeding, digestion, and how fish are often able to "adapt" to changing environments through phenotypic and physiological changes.
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Vita-Salute San Raffaele University1, Katholieke Universiteit Leuven2, University of Wisconsin-Madison3, Virginia Commonwealth University4, Oslo University Hospital5, Tufts University6, Monash University7, Stanford University8, VU University Amsterdam9, Queen's University10, Memorial University of Newfoundland11, Federal University of São Paulo12, University of Amsterdam13, University of Pisa14, Sapienza University of Rome15, Università Campus Bio-Medico16, Washington University in St. Louis17, Geneva College18, University of Auckland19, McGill University20, Columbia University21
TL;DR: The proceedings of the conference led to recommendations for areas in need of further investigation through appropriately designed intervention trials, and areas of uncertainly and controversy include the following: daily doses of vitamin D needed to maintain a normal level of 25OHD in the general population.
Abstract: The Third International Conference on Controversies in Vitamin D was held in Gubbio, Italy, September 10-13, 2019. The conference was held as a follow-up to previous meetings held in 2017 and 2018 to address topics of controversy in vitamin D research. The specific topics were selected by the steering committee of the conference and based upon areas that remain controversial from the preceding conferences. Other topics were selected anew that reflect specific topics that have surfaced since the last international conference. Consensus was achieved after formal presentations and open discussions among experts. As will be detailed in this article, consensus was achieved with regard to the following: the importance and prevalence of nutritional rickets, amounts of vitamin D that are typically generated by sun exposure, worldwide prevalence of vitamin D deficiency, the importance of circulating concentrations of 25OHD as the best index of vitamin D stores, definitions and thresholds of vitamin D deficiency, and efficacy of vitamin D analogues in the treatment of psoriasis. Areas of uncertainly and controversy include the following: daily doses of vitamin D needed to maintain a normal level of 25OHD in the general population, recommendations for supplementation in patients with metabolic bone diseases, cutaneous production of vitamin D by UVB exposure, hepatic regulation of 25OHD metabolites, definition of vitamin D excess, vitamin D deficiency in acute illness, vitamin D requirements during reproduction, potential for a broad spectrum of cellular and organ activities under the influence of the vitamin D receptor, and potential links between vitamin D and major human diseases. With specific regard to the latter area, the proceedings of the conference led to recommendations for areas in need of further investigation through appropriately designed intervention trials. © 2020 The Authors. JBMR Plus published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research.
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TL;DR: Combined effect of drought and heat stress was more detrimental than individual stresses and detailed studies are needed to fully understand the genetic mechanisms behind these physiological and biochemical changes in flag leaf in response to combined heat and drought stress.
Abstract: Heat stress along with low water availability at reproductive stage (terminal growth phase of wheat crop) is major contributing factor towards less wheat production in tropics and sub-tropics. Flag leaf plays a pivotal role in assimilate partitioning and stress tolerance of wheat during terminal growth phase. However, limited is known about biochemical response of flag leaf to combined and individual heat and drought stress during terminal growth phase. Therefore, current study investigated combined and individual effect of terminal drought and heat stress on water relations, photosynthetic pigments, osmolytes accumulation and antioxidants defense mechanism in flag leaf of bread wheat. Experimental treatments comprised of control, terminal drought stress alone (50% field capacity during reproductive phase), terminal heat stress alone (wheat grown inside plastic tunnel during reproductive phase) and terminal drought stress + terminal heat stress. Individual and combined imposition of drought and heat stresses significantly (p≤0.05) altered water relations, osmolyte contents, soluble proteins and sugars along with activated antioxidant defensive system in terms of superoxide dismutase (SOD), peroxidase (POD) and ascorbate peroxidase (APX). Turgor potential, POD and APX activities were lowest under individual heat stress; however, these were improved when drought stress was combined with heat stress. It is concluded that combined effect of drought and heat stress was more detrimental than individual stresses. The interactive effect of both stresses was hypo-additive in nature, but for some traits (like turgor potential and APX) effect of one stress neutralized the other. To best of our knowledge, this is the first report on physiological and biochemical response of flag leaf of wheat to combine heat and drought stress. These results will help future studies dealing with improved stress tolerance in wheat. However, detailed studies are needed to fully understand the genetic mechanisms behind these physiological and biochemical changes in flag leaf in response to combined heat and drought stress.
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Fred Hutchinson Cancer Research Center1, German Cancer Research Center2, University of Washington Medical Center3, Kaiser Permanente4, Wageningen University and Research Centre5, Johns Hopkins University6, University of Southern California7, University of Virginia Health System8, Ohio State University9, Karolinska Institutet10, Harvard University11, Karolinska University Hospital12, University of Barcelona13, University of Melbourne14, Cincinnati Children's Hospital Medical Center15, Umeå University16, Huntsman Cancer Institute17, University of Leeds18, Mayo Clinic19, Imperial College London20, Translational Genomics Research Institute21, National Institutes of Health22, Children's Hospital of Philadelphia23, Oregon Health & Science University24, University of Hamburg25, Dresden University of Technology26, Memorial Sloan Kettering Cancer Center27, University of Virginia28, University of Hawaii29, First Faculty of Medicine, Charles University in Prague30, International Agency for Research on Cancer31, University of Utah32, Ontario Institute for Cancer Research33, Memorial University of Newfoundland34, University of Cambridge35, American Cancer Society36, University of Washington37, Lunenfeld-Tanenbaum Research Institute38, University of North Carolina at Chapel Hill39, University of León40, Vanderbilt University Medical Center41, Columbia University Medical Center42, New York University43, University of Pittsburgh44, Broad Institute45
TL;DR: Different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) are derived and compared, and the developed PRS offers a way for risk-stratified CRC screening and other targeted interventions.
Abstract: Accurate colorectal cancer (CRC) risk prediction models are critical for identifying individuals at low and high risk of developing CRC, as they can then be offered targeted screening and interventions to address their risks of developing disease (if they are in a high-risk group) and avoid unnecessary screening and interventions (if they are in a low-risk group). As it is likely that thousands of genetic variants contribute to CRC risk, it is clinically important to investigate whether these genetic variants can be used jointly for CRC risk prediction. In this paper, we derived and compared different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105 CRC-affected case subjects and 65,079 control subjects of European ancestry. We built the PRS in three ways, using (1) 140 previously identified and validated CRC loci; (2) SNP selection based on linkage disequilibrium (LD) clumping followed by machine-learning approaches; and (3) LDpred, a Bayesian approach for genome-wide risk prediction. We tested the PRS in an independent cohort of 101,987 individuals with 1,699 CRC-affected case subjects. The discriminatory accuracy, calculated by the age- and sex-adjusted area under the receiver operating characteristics curve (AUC), was highest for the LDpred-derived PRS (AUC = 0.654) including nearly 1.2 M genetic variants (the proportion of causal genetic variants for CRC assumed to be 0.003), whereas the PRS of the 140 known variants identified from GWASs had the lowest AUC (AUC = 0.629). Based on the LDpred-derived PRS, we are able to identify 30% of individuals without a family history as having risk for CRC similar to those with a family history of CRC, whereas the PRS based on known GWAS variants identified only top 10% as having a similar relative risk. About 90% of these individuals have no family history and would have been considered average risk under current screening guidelines, but might benefit from earlier screening. The developed PRS offers a way for risk-stratified CRC screening and other targeted interventions.
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TL;DR: The potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring are explored.
Abstract: Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.
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TL;DR: In this paper, a review article summarizes the performance and adverse effects of WCO as a rejuvenator for hot mix asphalt (HMA) binder, which contains the similar lighter oil components of asphalt and can be used as an acceptable rejuvenator.
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University of Sheffield1, Central and North West London NHS Foundation Trust2, Maastricht University3, Memorial University of Newfoundland4, University of Toronto5, Flinders University6, Harvard University7, University of Bedfordshire8, University of California, San Diego9, Icahn School of Medicine at Mount Sinai10
TL;DR: Clinician experiences of the issues that should be attended to, and how to address them within a telehealth framework are drawn together, to assist clinicians over the period of changed practice.
Abstract: Objective The coronavirus pandemic has led to a dramatically different way of working for many therapists working with eating disorders, where telehealth has suddenly become the norm. However, many clinicians feel ill equipped to deliver therapy via telehealth, while adhering to evidence-based interventions. This article draws together clinician experiences of the issues that should be attended to, and how to address them within a telehealth framework. Method Seventy clinical colleagues of the authors were emailed and invited to share their concerns online about how to deliver cognitive-behavioral therapy for eating disorders (CBT-ED) via telehealth, and how to adapt clinical practice to deal with the problems that they and others had encountered. After 96 hr, all the suggestions that had been shared by 22 clinicians were collated to provide timely advice for other clinicians. Results A range of themes emerged from the online discussion. A large proportion were general clinical and practical domains (patient and therapist concerns about telehealth; technical issues in implementing telehealth; changes in the environment), but there were also specific considerations and clinical recommendations about the delivery of CBT-ED methods. Discussion Through interaction and sharing of ideas, clinicians across the world produced a substantial number of recommendations about how to use telehealth to work with people with eating disorders while remaining on track with evidence-based practice. These are shared to assist clinicians over the period of changed practice.