Institution
San Francisco State University
Education•San Francisco, California, United States•
About: San Francisco State University is a education organization based out in San Francisco, California, United States. It is known for research contribution in the topics: Population & Planet. The organization has 5669 authors who have published 11433 publications receiving 408075 citations. The organization is also known as: San Francisco State & San Francisco State Normal School.
Topics: Population, Planet, Poison control, Exoplanet, Planetary system
Papers published on a yearly basis
Papers
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TL;DR: In this article, a simple model of a metropolitan housing market is presented identifying three interrelated submarkets and estimating equations for rent, housing prices and urban land prices using two-stage least squares.
Abstract: In attempting to explain why housing prices, rents and urban land prices vary so dramatically between U.S. metropolitan areas, a simple model of a metropolitan housing market is presented identifying three interrelated submarkets. Estimating equations for rent, housing prices and urban land prices are identified and estimated using two-stage least squares. The empirical results provide strong support for the theoretical model concerning how these three submarkets interact. The results also suggest that household income and construction costs are the most important factors causing housing prices, rents and land prices to vary between metropolitan areas.
163 citations
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TL;DR: Analysis for the presence of 16 priority polynuclear aromatic hydrocarbons was carried out in fish, sediment and water samples of a fishing settlement in the Niger Delta region of Nigeria, which is supposed to be extensively polluted by seepages from oil discharge terminals.
163 citations
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TL;DR: Biased discussion was found to occur to a greater degree when communication mode was computer-mediated, and the group members were not in conflict prior to the discussion.
Abstract: One advantage of groups is that they have access to a larger pool of expertise and knowledge than individual group members. However, groups are sometimes ineffective at exchanging information. This tendency has been called biased discussion. The present study examines the effects of communication mode face-to-face vs. computer mediated, and Prediscussion information distribution characteristics on biased discussion. Biased discussion was found to occur to a greater degree when communication mode was computer-mediated, and the group members were not in conflict prior to the discussion.
163 citations
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TL;DR: In this paper, the authors extended the international literature by empirically testing a model of expatriate adjustment that examines the relationships between organizational antecedents (i.e., reasons for assignment), a more comprehensive set of adjustment behaviors, selfreported performance, and subordinate-rated managerial effectiveness.
Abstract: This study extends the international literature by empirically testing a model of expatriate adjustment that examines the relationships between organizational antecedents (i.e., reasons for assignment), a more comprehensive set of adjustment behaviors, self-reported performance, and subordinate-rated managerial effectiveness. Using data from 194 expatriate managers and 505 subordinates working in the multinational hotel industry, structural equations modeling results supported the hypothesized model. The conceptual and empirical contributions of this study as well as the managerial implications are discussed.
162 citations
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TL;DR: Elevation predictions using the Marsh Equilibrium Model highlight the importance of including vegetation responses to sea-level rise and include adjacent uplands for long-term marsh survival and incorporating such areas in conservation planning efforts.
Abstract: Tidal marshes maintain elevation relative to sea level through accumulation of mineral and organic matter, yet this dynamic accumulation feedback mechanism has not been modeled widely in the context of accelerated sea-level rise. Uncertainties exist about tidal marsh resiliency to accelerated sea-level rise, reduced sediment supply, reduced plant productivity under increased inundation, and limited upland habitat for marsh migration. We examined marsh resiliency under these uncertainties using the Marsh Equilibrium Model, a mechanistic, elevation-based soil cohort model, using a rich data set of plant productivity and physical properties from sites across the estuarine salinity gradient. Four tidal marshes were chosen along this gradient: two islands and two with adjacent uplands. Varying century sea-level rise (52, 100, 165, 180 cm) and suspended sediment concentrations (100%, 50%, and 25% of current concentrations), we simulated marsh accretion across vegetated elevations for 100 years, applying the results to high spatial resolution digital elevation models to quantify potential changes in marsh distributions. At low rates of sea-level rise and mid-high sediment concentrations, all marshes maintained vegetated elevations indicative of mid/high marsh habitat. With century sea-level rise at 100 and 165 cm, marshes shifted to low marsh elevations; mid/high marsh elevations were found only in former uplands. At the highest century sea-level rise and lowest sediment concentrations, the island marshes became dominated by mudflat elevations. Under the same sediment concentrations, low salinity brackish marshes containing highly productive vegetation had slower elevation loss compared to more saline sites with lower productivity. A similar trend was documented when comparing against a marsh accretion model that did not model vegetation feedbacks. Elevation predictions using the Marsh Equilibrium Model highlight the importance of including vegetation responses to sea-level rise. These results also emphasize the importance of adjacent uplands for long-term marsh survival and incorporating such areas in conservation planning efforts.
162 citations
Authors
Showing all 5744 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yuri S. Kivshar | 126 | 1845 | 79415 |
Debra A. Fischer | 121 | 567 | 54902 |
Sandro Galea | 115 | 1129 | 58396 |
Vijay S. Pande | 104 | 445 | 41204 |
Howard Isaacson | 103 | 575 | 42963 |
Paul Ekman | 99 | 235 | 84678 |
Russ B. Altman | 91 | 611 | 39591 |
John Kim | 90 | 406 | 41986 |
Santi Cassisi | 89 | 471 | 30757 |
Peng Zhang | 88 | 1578 | 33705 |
Michael D. Fayer | 84 | 537 | 26445 |
Raymond G. Carlberg | 84 | 316 | 28674 |
Geoffrey W. Marcy | 83 | 550 | 82309 |
Ten Feizi | 82 | 381 | 23988 |
John W. Eaton | 82 | 298 | 26403 |