Institution
University of Maryland, Baltimore County
Education•Baltimore, Maryland, United States•
About: University of Maryland, Baltimore County is a education organization based out in Baltimore, Maryland, United States. It is known for research contribution in the topics: Population & Aerosol. The organization has 8749 authors who have published 20843 publications receiving 795706 citations. The organization is also known as: UMBC.
Papers published on a yearly basis
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TL;DR: In this paper, the authors define the term e-government, discuss the literature of local-Ievel eGovernment, and document the adoption and sophistication of eGovernment among U.S. local governments.
Abstract: Much like businesses with electronic commerce, public organizations are beginning to embrace electronic government (e-government). This article defines the term e-government, discusses the literature oflocal-Ievel e-government, and documents the adoption and sophistication of e-government among U.S. local governments. It employs data from a survey conducted in 2000 to examine local adoption of e-government. E-government adoption among local governments generally tracks previously documented patterns of information technology adoption, which show a statistically significant relationship between adoption and such demographic variables as population size, form and type of government, region, and metro status. The article compares the results of that survey to a normative model of e-government maturity and finds that the emergence of e-government at the local level is still in its formative stages. The analysis also examines perceived impacts from e-govemment, sophistication of e-government offerings, barrier...
309 citations
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University of Leicester1, Goddard Space Flight Center2, University of Maryland, College Park3, Pennsylvania State University4, University College London5, Los Alamos National Laboratory6, California Institute of Technology7, Tel Aviv University8, University of Maryland, Baltimore County9, INAF10, University of Warwick11, Agenzia Spaziale Italiana12, Istanbul University13, Southern Utah University14, Clemson University15, National Science Foundation16, Universities Space Research Association17, University of Copenhagen18, Stockholm University19, Aoyama Gakuin University20
TL;DR: Ultraviolet and x-ray observations of a binary neutron star merger show a hot kilonova but no jet along the line of sight, which avoids both obscuration from the heaviest elements in the orbital plane and a direct view of any ultrarelativistic, highly collimated ejecta.
Abstract: With the first direct detection of merging black holes in 2015, the era of gravitational wave (GW) astrophysics began. A complete picture of compact object mergers, however, requires the detection of an electromagnetic (EM) counterpart. We report ultraviolet (UV) and X-ray observations by Swift and the Nuclear Spectroscopic Telescope ARray (NuSTAR) of the EM counterpart of the binary neutron star merger GW170817. The bright, rapidly fading ultraviolet emission indicates a high mass ($\approx0.03$ solar masses) wind-driven outflow with moderate electron fraction ($Y_{e}\approx0.27$). Combined with the X-ray limits, we favor an observer viewing angle of $\approx 30^{\circ}$ away from the orbital rotation axis, which avoids both obscuration from the heaviest elements in the orbital plane and a direct view of any ultra-relativistic, highly collimated ejecta (a gamma-ray burst afterglow).
308 citations
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TL;DR: Both new actigraph brands were found to have good sensitivity, but poorer specificity (to detect wake), suggesting the need for caution when comparing results across studies that use different brands of actigraphic devices.
Abstract: Study objectives To evaluate the validity and reliability of 2 new models of commercially available actigraphs compared to polysomnography for children and adolescents. Design and setting Subjects concurrently wore the Ambulatory Monitoring Inc. Motionlogger Sleep Watch (AMI) and the Phillips Respironics Mini-Mitter Actiwatch-2 (PRMM) while undergoing overnight polysomnography (PSG) in a pediatric sleep laboratory housed in a tertiary care children's hospital. Participants 115 youth (59 girls, 56 boys), ages 3-18 years (mean 8.8 years, SD 4.4 years). Measurements Outcome variables were total sleep time (TST), wake after sleep onset (WASO), and sleep efficiency (SE). Epoch-by-epoch comparisons were made between the 2 devices and PSG to determine sensitivity, specificity, and accuracy. Agreement between the 2 devices was determined with t-tests and the Bland-Altman concordance technique. Different algorithms/sensitivities, developmental age groups, and sleep disordered breathing (SDB) status were also examined. Results For both device brands, sensitivity (0.89-0.97), specificity (0.54-0.77), and accuracy (0.87-0.90) were similar to previous reports. Notably, compared to PSG, both device brands significantly overestimated WASO, while the AMI device also significantly underestimated TST. Inter-device comparison of the 2 brands found poor agreement for TST, WASO, and SE. Agreement with PSG differed depending on the scoring algorithm (AMI) or sensitivity setting (PRMM), as well as across developmental age group and sleep disordered breathing (SDB) status. Conclusions Similar to previous reports, both new actigraph brands were found to have good sensitivity (to detect sleep), but poorer specificity (to detect wake). Study results also suggest that researchers should adjust the scoring algorithm/sensitivity depending on a study's design (e.g., young children vs. adolescents, healthy children vs. youth with SDB). Further, inter-device reliability was poor, suggesting the need for caution when comparing results across studies that use different brands of actigraphic devices.
308 citations
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TL;DR: ICA has recently demonstrated considerable promise in characterizing functional magnetic resonance imaging data, primarily due to its intuitive nature and ability for flexible characterization of the brain function.
Abstract: Independent component analysis (ICA) is a statistical method used to discover hidden factors (sources or features) from a set of measurements or observed data such that the sources are maximally independent. Typically, it assumes a generative model where observations are assumed to be linear mixtures of independent sources and works with higher-order statistics to achieve independence. ICA has recently demonstrated considerable promise in characterizing functional magnetic resonance imaging (fMRI) data, primarily due to its intuitive nature and ability for flexible characterization of the brain function. In this article, ICA is introduced and its application to fMRI data analysis is reviewed.
307 citations
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Research Triangle Park1, Foundation for Research & Technology – Hellas2, University of Washington3, University of Michigan4, National Center for Atmospheric Research5, University of East Anglia6, Colorado State University7, University of Maryland, Baltimore County8, Leibniz Association9, University of Crete10, Columbia University11, University of Illinois at Urbana–Champaign12, Nankai University13, Georgia Institute of Technology14, Tsinghua University15, Pacific Northwest National Laboratory16, McGill University17
TL;DR: This paper reviews and synthesizes the current state of knowledge on the acidity of atmospheric condensed phases, specifically particles and cloud droplets, including recommendations for estimating acidity and pH, standard nomenclature, a synthesis of current pH estimates based on observations, and new model calculations on the local and global scale.
Abstract: . Acidity, defined as pH, is a central component of aqueous
chemistry. In the atmosphere, the acidity of condensed phases (aerosol
particles, cloud water, and fog droplets) governs the phase partitioning of
semivolatile gases such as HNO3 , NH3 , HCl, and organic acids and
bases as well as chemical reaction rates. It has implications for the
atmospheric lifetime of pollutants, deposition, and human health. Despite
its fundamental role in atmospheric processes, only recently has this field
seen a growth in the number of studies on particle acidity. Even with this
growth, many fine-particle pH estimates must be based on thermodynamic model
calculations since no operational techniques exist for direct measurements.
Current information indicates acidic fine particles are ubiquitous, but
observationally constrained pH estimates are limited in spatial and temporal
coverage. Clouds and fogs are also generally acidic, but to a lesser degree
than particles, and have a range of pH that is quite sensitive to
anthropogenic emissions of sulfur and nitrogen oxides, as well as ambient
ammonia. Historical measurements indicate that cloud and fog droplet pH has
changed in recent decades in response to controls on anthropogenic
emissions, while the limited trend data for aerosol particles indicate
acidity may be relatively constant due to the semivolatile nature of the
key acids and bases and buffering in particles. This paper reviews and
synthesizes the current state of knowledge on the acidity of atmospheric
condensed phases, specifically particles and cloud droplets. It includes
recommendations for estimating acidity and pH, standard nomenclature, a
synthesis of current pH estimates based on observations, and new model
calculations on the local and global scale.
305 citations
Authors
Showing all 8862 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert C. Gallo | 145 | 825 | 68212 |
Paul T. Costa | 133 | 406 | 88454 |
Igor V. Moskalenko | 132 | 542 | 58182 |
James Chiang | 129 | 308 | 60268 |
Alex K.-Y. Jen | 128 | 921 | 61811 |
Alan R. Shuldiner | 120 | 557 | 71737 |
Richard N. Zare | 120 | 1201 | 67880 |
Vince D. Calhoun | 117 | 1234 | 62205 |
Rita R. Colwell | 115 | 781 | 55229 |
Kendall N. Houk | 112 | 997 | 54877 |
Elliot K. Fishman | 112 | 1335 | 49298 |
Yoram J. Kaufman | 111 | 263 | 59238 |
Paulo Artaxo | 107 | 454 | 44346 |
Braxton D. Mitchell | 102 | 558 | 49599 |
Sushil Jajodia | 101 | 664 | 35556 |