scispace - formally typeset
Search or ask a question
Institution

University of Virginia

EducationCharlottesville, Virginia, United States
About: University of Virginia is a education organization based out in Charlottesville, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52543 authors who have published 113268 publications receiving 5220506 citations. The organization is also known as: U of V & UVa.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the authors analyze the potential conflict between economic growth and the maintenance of environmental quality in an overlapping generations model and find that there is a negative correlation between environmental quality and growth under zero maintenance in contrast to the positive correlation at interior equilibrium.
Abstract: This chapter analyses the potential conflict between economic growth and the maintenance of environmental quality in an overlapping generations model. Since environmental damage may outlive its perpetrators, overlapping generations’ models provide an appropriate demographic structure for analysis of environmental externalities. In general, environmental externalities could arise from production or consumption and could affect welfare or productivity. The chapter identifies interior equilibrium without external increasing returns and considers equilibrium with external increasing returns. Increased saving benefits generations through the external increasing returns, and hurts generations through reduced maintenance and greater consumption; higher saving is desirable if the first effect dominates. The dynamics of the economy therefore imply a negative correlation between environmental quality and growth under zero maintenance, in contrast to the positive correlation at interior equilibrium. Agents in economies with little capital or with high environmental quality may choose not to engage in maintenance of the environment.

602 citations

Journal ArticleDOI
TL;DR: In this article, a visual examination of the images from the Galactic Legacy Infrared Mid-Plane Survey Extraordinaire (GLIMPSE) has revealed 322 partial and closed rings that represent partially or fully enclosed three-dimensional bubbles.
Abstract: A visual examination of the images from the Galactic Legacy Infrared Mid-Plane Survey Extraordinaire (GLIMPSE) has revealed 322 partial and closed rings that we propose represent partially or fully enclosed three-dimensional bubbles. We argue that the bubbles are primarily formed by hot young stars in massive star formation regions. We have found an average of about 1.5 bubbles per square degree. About 25% of the bubbles coincide with known radio H II regions, and about 13% enclose known star clusters. It appears that B4-B9 stars (too cool to produce detectable radio H II regions) probably produce about three-quarters of the bubbles in our sample, and the remainder are produced by young O-B3 stars that produce detectable radio H II regions. Some of the bubbles may be the outer edges of H II regions where PAH spectral features are excited and may not be dynamically formed by stellar winds. Only three of the bubbles are identified as known SNRs. No bubbles coincide with known planetary nebulae or W-R stars in the GLIMPSE survey area. The bubbles are small. The distribution of angular diameters peaks between 1' and 3' with over 98% having angular diameters less than 10' and 88% less than 4'. Almost 90% have shell thicknesses between 0.2 and 0.4 of their outer radii. Bubble shell thickness increases approximately linearly with shell radius. The eccentricities are rather large, peaking between 0.6 and 0.7; about 65% have eccentricities between 0.55 and 0.85.

602 citations

Journal ArticleDOI
TL;DR: In this paper, a method of predicting two forest stand structure attributes, basal area and aboveground biomass, from measurements of forest vertical structure was developed and tested using field and remotely sensed canopy structure measurements.

601 citations

Journal ArticleDOI
TL;DR: In this paper, a rigorous coupled-wave analysis for metallic surface-relief gratings is presented for all diffracted orders as a function of period, groove depth, polarization, and angle of incidence.
Abstract: A rigorous coupled-wave analysis for metallic surface-relief gratings is presented. This approach allows an arbitrary complex permittivity to be used for the material and thus avoids the infinite conductivity (perfect-conductor) approximation. Both TE and TM polarizations and arbitrary angles of incidence are treated. Diffraction characteristics for rectangular-groove gold gratings with equal groove and ridge widths are presented for free-space wavelengths of 0.5, 1.0 and 10.0 μm for all diffracted orders as a function of period, groove depth, polarization, and angle of incidence. Results include the following: (1) TM-polarization diffraction characteristics vary more rapidly than do those for TE polarization, (2) 95% first-order diffraction efficiency occurs for TM polarization at 10.0 μm, (3) 50% absorption of incident power occurs at 0.5 μm, and (5) the perfect-conductor approximation is not valid for TM polarization at any of the wavelengths and is not valid for TE polarization at 0.5 μm.

601 citations


Authors

Showing all 53083 results

NameH-indexPapersCitations
Joan Massagué189408149951
Michael Rutter188676151592
Gordon B. Mills1871273186451
Ralph Weissleder1841160142508
Gonçalo R. Abecasis179595230323
Jie Zhang1784857221720
John R. Yates1771036129029
John A. Rogers1771341127390
Bradley Cox1692150156200
Mika Kivimäki1661515141468
Hongfang Liu1662356156290
Carl W. Cotman165809105323
Ralph A. DeFronzo160759132993
Elio Riboli1581136110499
Dan R. Littman157426107164
Network Information
Related Institutions (5)
Columbia University
224K papers, 12.8M citations

96% related

University of Pennsylvania
257.6K papers, 14.1M citations

96% related

University of Michigan
342.3K papers, 17.6M citations

96% related

University of Washington
305.5K papers, 17.7M citations

96% related

Stanford University
320.3K papers, 21.8M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023189
2022783
20215,566
20205,600
20195,001
20184,586