Showing papers by "Texas Christian University published in 2020"
Romina Ahumada1, Carlos Allende Prieto2, Carlos Allende Prieto3, Andres Almeida4 +342 more•Institutions (94)
TL;DR: The most recent data release from the Sloan Digital Sky Surveys (SDSS-IV) is DR16 as mentioned in this paper, which is the fourth and penultimate from the fourth phase of the survey.
Abstract: This paper documents the sixteenth data release (DR16) from the Sloan Digital Sky Surveys; the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the southern hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and all raw and reduced spectra from that project are released here. DR16 also includes all the data from the Time Domain Spectroscopic Survey (TDSS) and new data from the SPectroscopic IDentification of ERosita Survey (SPIDERS) programs, both of which were co-observed on eBOSS plates. DR16 has no new data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey (or the MaNGA Stellar Library "MaStar"). We also preview future SDSS-V operations (due to start in 2020), and summarize plans for the final SDSS-IV data release (DR17).
803 citations
TL;DR: In this paper, a review of recent advances in the measurement and modeling of thermophysical properties at the nanoscale (from the solid state to colloids) is presented, including thermal conductivity, dynamic viscosity, specific heat capacity, and density.
322 citations
Lund University1, Malmö University2, New Mexico State University3, Spanish National Research Council4, University of La Laguna5, University of Arizona6, University of Utah7, University of Texas at Austin8, University of Colorado Boulder9, Sternberg Astronomical Institute10, Apache Corporation11, Uppsala University12, University of Virginia13, Eötvös Loránd University14, Universidade Federal de Sergipe15, Princeton University16, Carnegie Learning17, University of Toronto18, Texas Christian University19, Ohio State University20, University of Washington21
TL;DR: The spectral analysis and data products in Data Release 16 (DR16; 2019 December) from the high-resolution near-infrared Apache Point Observatory Galactic Evolution Experiment (APOGEE)-2/Sloan Digital Sky Survey (SDSS)-IV survey are described in this article.
Abstract: The spectral analysis and data products in Data Release 16 (DR16; 2019 December) from the high-resolution near-infrared Apache Point Observatory Galactic Evolution Experiment (APOGEE)-2/Sloan Digital Sky Survey (SDSS)-IV survey are described. Compared to the previous APOGEE data release (DR14; 2017 July), APOGEE DR16 includes about 200,000 new stellar spectra, of which 100,000 are from a new southern APOGEE instrument mounted on the 2.5 m du Pont telescope at Las Campanas Observatory in Chile. DR16 includes all data taken up to 2018 August, including data released in previous data releases. All of the data have been re-reduced and re-analyzed using the latest pipelines, resulting in a total of 473,307 spectra of 437,445 stars. Changes to the analysis methods for this release include, but are not limited to, the use of MARCS model atmospheres for calculation of the entire main grid of synthetic spectra used in the analysis, a new method for filling "holes"in the grids due to unconverged model atmospheres, and a new scheme for continuum normalization. Abundances of the neutron-capture element Ce are included for the first time. A new scheme for estimating uncertainties of the derived quantities using stars with multiple observations has been applied, and calibrated values of surface gravities for dwarf stars are now supplied. Compared to DR14, the radial velocities derived for this release more closely match those in the Gaia DR2 database, and a clear improvement in the spectral analysis of the coolest giants can be seen. The reduced spectra as well as the result of the analysis can be downloaded using links provided on the SDSS DR16 web page. (Less)
209 citations
TL;DR: This work discusses organizational practices—corporate social responsibility, work design, recruitment and selection, and compensation management—that can contribute to the normalization, reinforcement, and reduction of economic inequalities in society.
144 citations
TL;DR: In this paper, the severity of formal and informal institutional voids shapes the productivity of entrepreneurial activities within society, and they propose a new space for institutional theory, and propose a theory of institutional void.
Abstract: Building new space for institutional theory, we propose how the severity of formal and informal institutional voids shapes the productivity of entrepreneurial activities within society. Our theory ...
139 citations
TL;DR: A comprehensive review of the organ-specific clinical manifestations of COVID-19 is provided to increase awareness about the various organs affected by SARS-CoV-2 and to provide a brief insight into the similarities and differences in the clinical manifestations.
Abstract: The severe acute respiratory syndrome coronavirus−2 (SARS-CoV-2) has been recently identified as the culprit of the highly infectious, outbreak named coronavirus disease 2019 (COVID-19) in China. Now declared a public health emergency, this pandemic is present in more than 200 countries with over 14 million cases and 600,000 deaths as of July 18, 2020. Primarily transmitted through the respiratory tract, the most common clinical presentations of symptomatic individuals infected with SARS-CoV-2 include fever, dyspnea, cough, fatigue, and sore throat. In advanced cases, patients may rapidly develop respiratory failure with acute respiratory distress syndrome, and even progress to death. While it is known that COVID-19 manifests similarly to the 2003 Severe Acute Respiratory Syndrome (SARS) and the 2012 Middle East Respiratory Syndrome (MERS), primarily affecting the pulmonary system, the impact of the disease extends far beyond the respiratory system and affects other organs of the body. The literature regarding the extrapulmonary manifestations (cardiovascular, renal, hepatic, gastrointestinal, ocular, dermatologic, and neurological) of COVID-19 is scant. Herein, we provide a comprehensive review of the organ-specific clinical manifestations of COVID-19, to increase awareness about the various organs affected by SARS-CoV-2 and to provide a brief insight into the similarities and differences in the clinical manifestations of COVID-19 and the earlier SARS and MERS.
124 citations
Leibniz Institute for Astrophysics Potsdam1, University of Barcelona2, Universidade Federal do Rio Grande do Sul3, University of Birmingham4, University of Porto5, University of São Paulo6, Millennium Institute7, Andrés Bello National University8, University of La Laguna9, Spanish National Research Council10, Carnegie Learning11, University of Notre Dame12, Apache Corporation13, Sternberg Astronomical Institute14, University of Utah15, University of Arizona16, Centre national de la recherche scientifique17, Texas Christian University18, Pontifical Catholic University of Chile19, University of Atacama20, University of Virginia21, Johns Hopkins University22, University of Antofagasta23, University of La Serena24, University of Washington25, University of Colorado Boulder26
TL;DR: The StarHorse code as mentioned in this paper is written in python 3.6 and makes use of several community-developed python packages, among them astropy (Astropy Collaboration 2013), ezpadova (https://github.com/mfouesneau/ezpadova), numpy and scipy (Virtanen et al. 2020), and matplotlib (Hunter 2007).
Abstract: The StarHorse code is written in python 3.6 and makes use of several community-developed python packages, among them astropy (Astropy Collaboration 2013), ezpadova (https://github.com/ mfouesneau/ezpadova), numpy and scipy (Virtanen et al. 2020), and matplotlib (Hunter 2007). The code also makes use of the photometric filter database of VOSA (Bayo et al. 2008), developed under the Spanish Virtual Observatory project supported from the Spanish MICINN through grant AyA2011-24052. Funding for the SDSS Brazilian Participation Group has been provided by the Ministerio de Ciencia e Tecnologia (MCT), Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ), Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq), and Financiadora de Estudos e Projetos (FINEP). Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the US Department of Energy Office of Science, and the Participating Institutions. SDSS-IV acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. The SDSS web site is www.sdss. org. SDSS-IV is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration including the Brazilian Participation Group, the Carnegie Institution for Science, Carnegie Mellon University, the Chilean Participation Group, the French Participation Group, Harvard-Smithsonian Center for Astrophysics, Instituto de Astrofisica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo, Lawrence Berkeley National Laboratory, Leibniz-Institut fur Astrophysik Potsdam (AIP), Max-Planck-Institut fur Astronomie (MPIA Heidelberg), Max-Planck-Institut fur Astrophysik (MPA Garching), Max-Planck-Institut fur Extraterrestrische Physik (MPE), National Astronomical Observatory of China, New Mexico State University, New York University, University of Notre Dame, Observatario Nacional/MCTI, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Uni-versidad Nacional Autonoma de Mexico, University of Arizona, University of Colorado Boulder, University of Oxford, University of Portsmouth, University of Utah, University of Virginia, University of Washington, University of Wisconsin, Vanderbilt University, and Yale University. Guoshoujing Telescope (the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST) is a National Major Scientific Project built by the Chinese Academy of Sciences. Funding for the project has been provided by the National Development and Reform Commission. LAMOST is operated and managed by the National Astronomical Observatories, Chinese Academy of Sciences. Funding for RAVE has been provided by: the Australian Astronomical Observatory; the Leibniz-Institut fur Astrophysik Potsdam (AIP); the Australian National University; the Australian Research Council; the French National Research Agency; the German Research Foundation (SPP 1177 and SFB 881); the European Research Council (ERC-StG 240271 Galactica); the Istituto Nazionale di Astrofisica at Padova; The Johns Hopkins University; the National Science Foundation of the USA (AST-0908326); the W. M. Keck foundation; the Macquarie University; the Netherlands Research School for Astronomy; the Natural Sciences and Engineering Research Council of Canada; the Slovenian Research Agency; the Swiss National Science Foundation; the Science & Technology Facilities Council of the UK; Opticon; Strasbourg Observatory; and the Universities of Groningen, Heidelberg and Sydney. The RAVE web site is at https://www.rave-survey. org. This work has made use of data from the European Space Agency (ESA) mission Gaia (http://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://www.cosmos.esa. int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work has also made use of data from Gaia-ESO based on data products from observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 188.B-3002. FA is grateful for funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 800502 H2020-MSCA-IF-EF-2017. CC acknowledges support from DFG Grant CH1188/2-1 and from the ChETEC COST Action (CA16117)
114 citations
TL;DR: In this paper, the authors make the case that conditions and timing are right and, despite some challenges, there are many benefits to conducting management research in Latin America, including the benefits of having an independent management research community.
110 citations
TL;DR: An overview of the formation and effects of acid mine drainage can be found in this paper, where the authors identify critical research gaps and explore the associated challenges and opportunities for environmental scientists and researchers.
102 citations
Eötvös Loránd University1, Hungarian Academy of Sciences2, Spanish National Research Council3, University of La Laguna4, University of Notre Dame5, New Mexico State University6, Space Telescope Science Institute7, University of Arizona8, University of Virginia9, University of Atacama10, Centre national de la recherche scientifique11, Texas Christian University12, University of La Serena13, University of Concepción14, University of Utah15, Pennsylvania State University16, Ohio State University17, Pontifical Catholic University of Chile18, University of Antofagasta19, University of New South Wales20, Andrés Bello National University21, Millennium Institute22, Johns Hopkins University23, Montana State University24, Liverpool John Moores University25, University of Texas at Austin26, University of Colorado Boulder27, Sun Yat-sen University28
TL;DR: In this article, the authors investigated the abundance of red giant stars in 31 globular clusters from high-resolution spectra observed in both the Northern and Southern hemisphere by the SDSS-IV APOGEE-2 survey.
Abstract: We investigate the Fe, C, N, O, Mg, Al, Si, K, Ca, Ce, and Nd abundances of 2283 red giant stars in 31 globular clusters from high-resolution spectra observed in both the Northern and Southern hemisphere by the SDSS-IV APOGEE-2 survey. This unprecedented homogeneous data set, largest to date, allows us to discuss the intrinsic Fe spread, the shape, and statistics of Al-Mg and N-C anti-correlations as a function of cluster mass, luminosity, age, and metallicity for all 31 clusters. We find that the Fe spread does not depend on these parameters within our uncertainties including cluster metallicity, contradicting earlier observations. We do not confirm the metallicity variations previously observed in M22 and NGC 1851. Some clusters show a bimodal Al distribution, while others exhibit a continuous distribution as has been previously reported in the literature. We confirm more than two populations in ω Cen and NGC 6752, and find new ones in M79. We discuss the scatter of Al by implementing a correction to the standard chemical evolution of Al in the Milky Way. After correction, its dependence on cluster mass is increased suggesting that the extent of Al enrichment as a function of mass was suppressed before the correction. We observe a turnover in the Mg-Al anticorrelation at very low Mg in ω Cen, similar to the pattern previously reported in M15 and M92. ω Cen may also have a weak K-Mg anticorrelation, and if confirmed, it would be only the third cluster known to show such a pattern.
97 citations
Malmö University1, Lund University2, New Mexico State University3, Spanish National Research Council4, University of La Laguna5, University of Arizona6, University of Utah7, University of Texas at Austin8, University of Colorado Boulder9, Apache Corporation10, Sternberg Astronomical Institute11, Uppsala University12, University of Virginia13, Eötvös Loránd University14, Universidade Federal de Sergipe15, Carnegie Learning16, Princeton University17, University of Toronto18, Texas Christian University19, Ohio State University20, University of Washington21
TL;DR: The spectral analysis and data products in Data Release 16 (DR16; December 2019) from the high-resolution near-infrared APOGEE-2/SDSS-IV survey are described in this paper.
Abstract: The spectral analysis and data products in Data Release 16 (DR16; December 2019) from the high-resolution near-infrared APOGEE-2/SDSS-IV survey are described. Compared to the previous APOGEE data release (DR14; July 2017), APOGEE DR16 includes about 200000 new stellar spectra, of which 100000 are from a new southern APOGEE instrument mounted on the 2.5 m du Pont telescope at Las Campanas Observatory in Chile. DR16 includes all data taken up to August 2018, including data released in previous data releases. All of the data have been re-reduced and re-analyzed using the latest pipelines, resulting in a total of 473307 spectra of 437445 stars. Changes to the analysis methods for this release include, but are not limited to, the use of MARCS model atmospheres for calculation of the entire main grid of synthetic spectra used in the analysis, a new method for filling "holes" in the grids due to unconverged model atmospheres, and a new scheme for continuum normalization. Abundances of the neutron capture element Ce are included for the first time. A new scheme for estimating uncertainties of the derived quantities using stars with multiple observations has been applied, and calibrated values of surface gravities for dwarf stars are now supplied. Compared to DR14, the radial velocities derived for this release more closely match those in the Gaia DR2 data base, and a clear improvement in the spectral analysis of the coolest giants can be seen. The reduced spectra as well as the result of the analysis can be downloaded using links provided in the SDSS DR16 web page.
Texas Christian University1, University of Arizona2, University of Concepción3, University of La Laguna4, Spanish National Research Council5, University of La Serena6, University of Barcelona7, Princeton University8, Carnegie Learning9, Sternberg Astronomical Institute10, Apache Corporation11, University of Utah12, INAF13, Leibniz Institute for Astrophysics Potsdam14, Space Telescope Science Institute15, Malmö University16, Lund University17, Pontifical Catholic University of Chile18, University of Atacama19, University of Virginia20, Andrés Bello National University21, University of Washington22
TL;DR: SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Institutes of Health (NIH), and the U.S. Department of Energy Office of Science as discussed by the authors.
Abstract: comments.
J.D. and P.M.F. acknowledge support for this research from the
National Science Foundation (AST-1311835 & AST-1715662).
K.C. acknowledges support for this research from the National
Science Foundation (AST-0907873).
D.A.G.H. acknowledges support from the State Research
Agency (AEI) of the Spanish Ministry of Science, Innovation,
and Universities (MCIU), and the European Regional Development Fund (FEDER) under grant AYA2017-88254-P.
D.G. and D.M. gratefully acknowledge support from the
Chilean Centro de Excelencia en Astrofisica y Tecnologias Afines
(CATA) BASAL grant AFB-170002. D.G. also acknowledges
financial support from the Direccion de Investigacion y Desarrollo
de la Universidad de La Serena through the Programa de
Incentivo a la Investigacion de Academicos (PIA-DIDULS). D.M.
is also supported by the Programa Iniciativa Cientifica Milenio grant IC120009, awarded to the Millennium Institute of
Astrophysics (MAS), and by Proyecto FONDECYT regular No.
1170121.
H.J. acknowledges support from the Crafoord Foundation,
Stiftelsen Olle Engkvist Byggmastare, and Ruth och Nils-Erik
Stenbacks stiftelse.
A.R.-L. acknowledges financial support provided in Chile by
Comision Nacional de Investigacion Cientifica y Tecnologica
(CONICYT) through the FONDECYT project 1170476 and by
the QUIMAL project 130001
Funding for SDSS-III has been provided by the Alfred P.
Sloan Foundation, the Participating Institutions, the National
Science Foundation, and the U.S. Department of Energy Office
of Science. The SDSS-III website is http://www.sdss3.org/.
SDSS-III is managed by the Astrophysical Research
Consortium for the Participating Institutions of the SDSS-III
Collaboration including the University of Arizona, the
Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the
French Participation Group, the German Participation Group,
Harvard University, the Instituto de Astrofisica de Canarias, the
Michigan State/Notre Dame/JINA Participation Group, Johns
Hopkins University, Lawrence Berkeley National Laboratory,
Max Planck Institute for Astrophysics, Max Planck Institute for
Extraterrestrial Physics, New Mexico State University, New
York University, Ohio State University, Pennsylvania State
University, University of Portsmouth, Princeton University, the
Spanish Participation Group, University of Tokyo, University
of Utah, Vanderbilt University, University of Virginia,
University of Washington, and Yale University.
Funding for the Sloan Digital Sky Survey IV has been provided
by the Alfred P. Sloan Foundation, the U.S. Department of
Energy Office of Science, and the Participating Institutions.
SDSS-IV acknowledges support and resources from the Center
for High-Performance Computing at the University of Utah. The
SDSS website is www.sdss.org.
TL;DR: The authors argue that the heavy reliance on student evaluations of teaching in decisions about faculty hiring and promotion might encourage teaching practices that boost students' subjective ratings of teaching effectiveness, but do not enhance students' learning and their development of metacognitive skills.
Abstract: Students’ judgments of their own learning are often misled by intuitive yet false ideas about how people learn. In educational settings, learning experiences that minimize effort and increase the appearance of fluency, engagement, and enthusiasm often inflate students’ estimates of their own learning, but do not always enhance their actual learning. We review the research on these “illusions of learning,” how they can mislead students’ evaluations of the effectiveness of their instructors, and how students’ evaluations of teaching effectiveness can be biased by factors unrelated to teaching. We argue that the heavy reliance on student evaluations of teaching in decisions about faculty hiring and promotion might encourage teaching practices that boost students’ subjective ratings of teaching effectiveness, but do not enhance—and may even undermine—students’ learning and their development of metacognitive skills.
Max Planck Society1, New York University2, Carnegie Institution for Science3, Princeton University4, University of Virginia5, Montana State University6, University of La Serena7, University of Pittsburgh8, University of Notre Dame9, Space Telescope Science Institute10, Northern Kentucky University11, Vanderbilt University12, University of Atacama13, Texas Christian University14, University of La Laguna15, Spanish National Research Council16, Smithsonian Institution17, University of Utah18, University of Antofagasta19, University of Washington20, University of Colorado Boulder21, Salisbury University22
TL;DR: In this paper, the authors explore whether and how internal social media influences employee engagement, and propose a conceptual model that links employee use of internal media, perceived organizational transparency, and organizational identification, to employee engagement.
TL;DR: This paper will apply both traditional and advanced machine learning approaches to investigate the difference among several advanced models and comprehensively validate multiple techniques in model implementation on regression and provide an optimistic result for housing price prediction.
Cornell University1, Memorial Sloan Kettering Cancer Center2, Rice University3, University of Manchester4, University of Padua5, Pennsylvania State University6, University of Maryland, College Park7, University of Strasbourg8, École Polytechnique Fédérale de Lausanne9, University of Antwerp10, University of Bordeaux11, Monash University, Clayton campus12, Harvard University13, Dublin City University14, University of Würzburg15, University of North Carolina at Greensboro16, Carnegie Mellon University17, University of Nebraska–Lincoln18, Lehigh University19, Silesian University of Technology20, University of Göttingen21, University of California, Berkeley22, Peking University23, Université de Montréal24, University of Tokyo25, Texas Christian University26, Ikerbasque27, University of Trieste28, University College Dublin29, University of Rhode Island30, Massachusetts Institute of Technology31, National Institute of Advanced Industrial Science and Technology32
TL;DR: The inclusion of all carbon nanotubes in the SIN list discourages research and investment in these materials that are being applied, for instance, to treat kidney disease, track viral outbreaks and to investigate Parkinson’s disease.
University of Virginia1, University of Utah2, University of Texas at Austin3, Space Telescope Science Institute4, Liverpool John Moores University5, University of Arizona6, Carnegie Institution for Science7, Princeton University8, York University9, University of La Laguna10, Spanish National Research Council11, Sternberg Astronomical Institute12, New Mexico State University13, Texas Christian University14, University of Atacama15, Millennium Institute16, Eötvös Loránd University17, Hungarian Academy of Sciences18, Catholic University of the North19, University of Chile20, Montana State University21, University of La Serena22, University of Washington23, University of Colorado Boulder24
TL;DR: In this article, the authors presented a survey of the National Science Foundation (NSF) grant recipients in the field of astronomy and space science, highlighting the role of the NSF in the development of the Space Telescope Science Institute (STSI).
Abstract: National Science Foundation (NSF)
DGE-1315231
National Science Foundation (NSF)
AST-1616636
National Science Foundation (NSF)
AST-1801940
National Aeronautics & Space Administration (NASA)
51386.01
Space Telescope Science Institute
Spanish MINECO
AYA2017-86389
grant (AEI/FEDER, UE)
AYA2017-89076-P
MCIU Ramon y Cajal Fellowship
RYC-2012-11537
Ministerio de Ciencia, Innovacion y Universidades (MCIU), through the State Budget
Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community
National Aeronautics & Space Administration (NASA)
NAS 5-26555
Physics Frontier Center/JINA Center for the Evolution of the Elements (JINA-CEE) - US National Science Foundation
PHY 14-30152
Leverhulme Trust
National Science Foundation (NSF)
AST-1715662
State Research Agency (AEI) of the Spanish Ministry of Science, Innovation and Universities (MCIU)
European Union (EU)
AYA2017-88254-P
Premium Postdoctoral Research Program of the Hungarian Academy of Sciences
Hungarian Academy of Sciences
Hungarian NKFI grants of the Hungarian National Research, Development and Innovation Office
K-119517
GINOP-2.3.2-152016-00003
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT PIA/BASAL
AFB-170002
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT FONDECYT
1170364
Alfred P. Sloan Foundation
United States Department of Energy (DOE)
Brazilian Participation Group
Carnegie Institution for Science
Carnegie Mellon University
Chilean Participation Group
French Participation Group
Smithsonian Institution
Harvard-Smithsonian Center for Astrophysics
Instituto de Astrofisica de Canarias
Johns Hopkins University
Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
Korean Participation Group
United States Department of Energy (DOE)
Leibniz Institut fur Astrophysik Potsdam (AIP)
Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
Max-Planck-Institut fur Astrophysik (MPA Garching)
Max-Planck-Institut fur Extraterrestrische Physik (MPE)
National Astronomical Observatories of China
New Mexico State University
New York University
University of Notre Dame
Observatario Nacional/MCTI
Ohio State University
Pennsylvania State University
Shanghai Astronomical Observatory
United Kingdom Participation Group
Universidad Nacional Autonoma de Mexico
University of Arizona
University of Colorado Boulder
University of Oxford
University of Portsmouth
University of Utah
University of Virginia
University of Washington
University of Wisconsin
Vanderbilt University
Yale University
TL;DR: A mathematical model of viral coinfection is used to study SARS‐CoV‐2 coinfections, finding that Sars‐Co V‐2 replication is easily suppressed by many common respiratory viruses.
Abstract: The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread around the world, causing serious illness and death and creating a heavy burden on the healthcare systems of many countries. Since the virus first emerged in late November 2019, its spread has coincided with peak circulation of several seasonal respiratory viruses, yet some studies have noted limited coinfections between SARS-CoV-2 and other viruses. We use a mathematical model of viral coinfection to study SARS-CoV-2 coinfections, finding that SARS-CoV-2 replication is easily suppressed by many common respiratory viruses. According to our model, this suppression is because SARS-CoV-2 has a lower growth rate (1.8/d) than the other viruses examined in this study. The suppression of SARS-CoV-2 by other pathogens could have implications for the timing and severity of a second wave.
Liverpool John Moores University1, University of Birmingham2, University of Notre Dame3, University of Atacama4, Texas Christian University5, Spanish National Research Council6, University of La Laguna7, University of La Serena8, University of Concepción9, New Mexico State University10, University of Utah11, Malmö University12, Lund University13, Pontifical Catholic University of Chile14, University of Virginia15, Eötvös Loránd University16, Catholic University of the North17, Johns Hopkins University18, University of Antofagasta19, University of Hertfordshire20
TL;DR: In this article, the kinematics and chemical compositions of the SDSS/APOGEE survey were studied and the results showed that the loci of both in situ and accreted subgroups in chemical space match those of their field counterparts, which could either mean that they share a similar origin or that they are associated with distinct satellites which underwent similar chemical enrichment histories.
Abstract: Studies of the kinematics and chemical compositions of Galactic globular clusters (GCs) enable the reconstruction of the history of star formation, chemical evolution, and mass assembly of the Galaxy. Using the latest data release (DR16) of the SDSS/APOGEE survey, we identify 3090 stars associated with 46 GCs. Using a previously defined kinematic association, we break the sample down into eight separate groups and examine how the kinematics-based classification maps into chemical composition space, considering only α (mostly Si and Mg) elements and Fe. Our results show that (i) the loci of both in situ and accreted subgroups in chemical space match those of their field counterparts; (ii) GCs from different individual accreted subgroups occupy the same locus in chemical space. This could either mean that they share a similar origin or that they are associated with distinct satelliteswhich underwent similar chemical enrichment histories; (iii) the chemical compositions of the GCs associated with the low orbital energy subgroup defined by Massari and collaborators is broadly consistent with an in situ origin. However, at the low-metallicity end, the distinction between accreted and in situ populations is blurred; (iv) regarding the status of GCs whose origin is ambiguous, we conclude the following: the position in Si-Fe plane suggests an in situ origin for Liller 1 and a likely accreted origin for NGC 5904 and NGC 6388. The case of NGC 288 is unclear, as its orbital properties suggest an accretion origin, its chemical composition suggests it may have formed in situ. (Less)
University of Twente1, Chinese Academy of Sciences2, University of California, Berkeley3, Peking University4, Washington University in St. Louis5, VU University Medical Center6, Tsinghua University7, University of Auckland8, University of Edinburgh9, Université de Montréal10, The Chinese University of Hong Kong11, University of Southampton12, Fudan University13, Centers for Disease Control and Prevention14, Yale University15, Columbia University16, University of Iowa17, Virginia Commonwealth University18, National University of Singapore19, Sichuan University20, Qingdao University21, Texas Christian University22, Icahn School of Medicine at Mount Sinai23, University of Cambridge24, University of Canterbury25, University of East Anglia26, University of Connecticut27, Dartmouth College28, Chinese Center for Disease Control and Prevention29, Arizona State University30, University of Melbourne31, University of Helsinki32, Brown University33, Ball State University34, Xi'an Jiaotong University35, Utrecht University36, Harvard University37
TL;DR: The aim is to provide a checklist of recommendations to improve and make more consistent reporting of spatial lifecourse epidemiologic studies, and to revisit and adapt the ISLE-ReSt at least every 2-3 years from its release.
TL;DR: In this paper, the authors study how major land-grant institutions with agriculture and natural resource programs in the United States offer online courses to meet student demand and understand how major educ...
Abstract: Many land-grant institutions with agriculture and natural resource programs in the United States offer online courses to meet student demand. The goal of this study was to understand how major educ...
University of Notre Dame1, Yale University2, University of Wisconsin-Madison3, Johns Hopkins University4, Space Telescope Science Institute5, Princeton University6, University of California, Santa Cruz7, California Institute of Technology8, Northwestern University9, Texas Christian University10, North Carolina State University11, Johns Hopkins University Applied Physics Laboratory12, First Green Bank13, W.M. Keck Observatory14, West Virginia University15, Providence College16, University of Washington17
TL;DR: In this article, the authors used the AMIGA sample of 43 QSOs that pierce the circumgalactic medium (CGM) of Andromeda (M31) from R=25 to 569 kpc (25 of them probing gas from 25 kpc to about the virial radius-Rvir = 300 kpc-of M31).
Abstract: Project AMIGA (Absorption Maps In the Gas of Andromeda) is a large ultraviolet Hubble Space Telescope program, which has assembled a sample of 43 QSOs that pierce the circumgalactic medium (CGM) of Andromeda (M31) from R=25 to 569 kpc (25 of them probing gas from 25 kpc to about the virial radius-Rvir = 300 kpc-of M31). Our large sample provides an unparalleled look at the physical conditions and distribution of metals in the CGM of a single galaxy using ions that probe a wide range of gas phases (Si II, Si III, Si IV, C II, C IV, and O VI, the latter being from the Far Ultraviolet Spectroscopic Explorer). We find that Si III and O VI have near unity covering factor maintained all the way out to 1.2Rvir and 1.9Rvir, respectively. We show that Si III is the dominant ion over Si II and Si IV at any R. While we do not find that the properties of the CGM of M31 depend strongly on the azimuth, we show that they change remarkably around 0.3-0.5Rvir, conveying that the inner regions of the CGM of M31 are more dynamic and have more complicated multi-phase gas-structures than at R>0.5Rvir. We estimate the metal mass of the CGM within Rvir as probed by Si II, Si III, and Si IV is 2x10^7 Msun and by O VI is >8x10^7 Msun, while the baryon mass of the 10^4-10^5.5 K gas is ~4x10^10 (Z/0.3 Zsun)^(-1) Msun within Rvir. We show that different zoom-in cosmological simulations of L* galaxies better reproduce the column density profile of O VI with R than Si III or the other studied ions. We find that observations of the M31 CGM and zoom-in simulations of L* galaxies have both lower ions showing higher column density dispersion and dependence on R than higher ions, indicating that the higher ionization structures are larger and/or more broadly distributed.
TL;DR: In this paper, the authors conceptualize entrepreneurial fear of failure as a negative affective reaction based in cognitive appraisals of the potential for failure in the uncertain and ambiguous context of entrepreneurship.
TL;DR: In this paper, the authors investigated the relationship of clay minerals, pore throat structure and reservoir properties of the Permian tight sandstones in the Hangjinqi area, in the north Ordos Basin, China.
TL;DR: In this article, a dye-sensitized photoelectrochemical cells (DSPECs) have traditionally targeted solar-driven water splitting for the conversion of solar energy into fuels in aqueous media.
Abstract: Molecular-based dye-sensitized photoelectrochemical cells (DSPECs) have traditionally targeted solar-driven water splitting for the conversion of solar energy into fuels in aqueous media. This work...
TL;DR: It is argued that inclusion of Registered Reports by researchers and journals will improve the transparency, replicability, and trust in sport and exercise science research.
Abstract: The primary means of disseminating sport and exercise science research is currently through journal articles. However, not all studies, especially those with null findings, make it to formal publication. This publication bias towards positive findings may contribute to questionable research practices. Preregistration is a solution to prevent the publication of distorted evidence resulting from this system. This process asks authors to register their hypotheses and methods before data collection on a publicly available repository or by submitting a Registered Report. In the Registered Report format, authors submit a stage 1 manuscript to a participating journal that includes an introduction, methods, and any pilot data indicating the exploratory or confirmatory nature of the study. After a stage 1 peer review, the manuscript can then be offered in-principle acceptance, rejected, or sent back for revisions to improve the quality of the study. If accepted, the project is guaranteed publication, assuming the authors follow the data collection and analysis protocol. After data collection, authors re-submit a stage 2 manuscript that includes the results and discussion, and the study is evaluated on clarity and conformity with the planned analysis. In its final form, Registered Reports appear almost identical to a typical publication, but give readers confidence that the hypotheses and main analyses are less susceptible to bias from questionable research practices. From this perspective, we argue that inclusion of Registered Reports by researchers and journals will improve the transparency, replicability, and trust in sport and exercise science research. The preprint version of this work is available on SportR$$\chi $$iv: https://osf.io/preprints/sportrxiv/fxe7a/.
TL;DR: In 2016, Republican presidential nominee Donald Trump used the term "bad hombres" to criticise immigrants, and in particular Latino men as mentioned in this paper, using a no-no rule.
Abstract: When discussing immigration on the campaign trail in 2016, Republican presidential nominee Donald Trump used the term ‘bad hombres’ to criticise immigrants, and in particular Latino men. Using a no...
TL;DR: A recent special issue as discussed by the authors includes state-of-the-art papers that leverage various theories from evolutionary psychology (EP) to shed light on important consumption-related phenomena such as conspicuous consumption and salient signs of "showing off".