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Institution

Williams College

EducationWilliamstown, Massachusetts, United States
About: Williams College is a education organization based out in Williamstown, Massachusetts, United States. It is known for research contribution in the topics: Population & Politics. The organization has 2257 authors who have published 5015 publications receiving 213160 citations. The organization is also known as: Williams.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors discuss the structure of the future integrated marine debris observing system (IMDOS) that is required to provide long-term monitoring of the state of the anthropogenic pollution and support operational activities to mitigate impacts on the ecosystem and safety of maritime activity.
Abstract: Plastics and other artificial materials pose new risks to health of the ocean. Anthropogenic debris travels across large distances and is ubiquitous in the water and on the shorelines, yet, observations of its sources, composition, pathways and distributions in the ocean are very sparse and inaccurate. Total amounts of plastics and other man-made debris in the ocean and on the shore, temporal trends in these amounts under exponentially increasing production, as well as degradation processes, vertical fluxes and time scales are largely unknown. Present ocean circulation models are not able to accurately simulate drift of debris because of its complex hydrodynamics. In this paper we discuss the structure of the future integrated marine debris observing system (IMDOS) that is required to provide long-term monitoring of the state of the anthropogenic pollution and support operational activities to mitigate impacts on the ecosystem and safety of maritime activity. The proposed observing system integrates remote sensing and in situ observations. Also, models are used to optimize the design of the system and, in turn, they will be gradually improved using the products of the system. Remote sensing technologies will provide spatially coherent coverage and consistent surveying time series at local to global scale. Optical sensors, including high-resolution imaging, multi- and hyperspectral, fluorescence, and Raman technologies, as well as SAR will be used to measure different types of debris. They will be implemented in a variety of platforms, from hand-held tools to ship-, buoy-, aircraft-, and satellite-based sensors. A network of in situ observations, including reports from volunteers, citizen scientists and ships of opportunity, will be developed to provide data for calibration/validation of remote sensors and to monitor the spread of plastic pollution and other marine debris. IMDOS will interact with other observing systems monitoring physical, chemical, and biological processes in the ocean and on shorelines as well as state of the ecosystem, maritime activities and safety, drift of sea ice, etc. The synthesized data will support innovative multi-disciplinary research and serve diverse community of users.

184 citations

Journal ArticleDOI
TL;DR: Investigation of whether important racial, ethnic, or socioeconomic status health disparities exist in infertility, impaired fecundity, or infertility treatment found that older women, non-Hispanic white women, and women who are more educated are more likely to have ever received treatment.

184 citations

Journal ArticleDOI
TL;DR: The approaches to addressing data partitioning and load balancing issues within the Zoltan Parallel Data Services toolkit are discussed.

183 citations

Book ChapterDOI
Douglas Gollin1
TL;DR: A review of theoretical arguments and empirical evidence for the hypothesis that agricultural productivity improvements lead to economic growth in developing countries can be found in this paper, where the authors show that there is abundant evidence for correlations between agricultural productivity increases and economic growth but little definitive evidence for a causal connection.
Abstract: In most poor countries, large majorities of the population live in rural areas and earn their livelihoods primarily from agriculture. Many rural people in the developing world are poor, and conversely, most of the world's poor people inhabit rural areas. Agriculture also accounts for a significant fraction of the economic activity in the developing world, with some 25% of value added in poor countries coming from this sector. The sheer size of the agricultural sector implies that changes affecting agriculture have large aggregate effects. Thus, it seems reasonable that agricultural productivity growth should have significant effects on macro variables, including economic growth. But these effects can be complicated. The large size of the agricultural sector does not necessarily imply that it must be a leading sector for economic growth. In fact, agriculture in most developing countries has very low productivity relative to the rest of the economy. Expanding a low-productivity sector might not be unambiguously good for growth. Moreover, there are issues of reverse causation. Economies that experience growth in aggregate output could be the beneficiaries of good institutions or good fortune that also helps the agricultural sector. Thus, even after 50 years of research on agricultural development, there is abundant evidence for correlations between agricultural productivity increases and economic growth but little definitive evidence for a causal connection. This chapter reviews theoretical arguments and empirical evidence for the hypothesis that agricultural productivity improvements lead to economic growth in developing countries. For countries with large interior populations and limited access to international markets, agricultural development is essential for economic growth. For other countries, the importance of agriculture-led growth will depend on the relative feasibility and cost of importing food. JEL classifications: O11, O13, O41, O47, Q1

183 citations

Journal ArticleDOI
TL;DR: This article examined the relationship of personal and ethnic identity exploration to adaptive and maladaptive aspects of psychosocial functioning such as anxiety and depression, as well as the extent to which these relationships were mediated by identity confusion.
Abstract: Identity exploration has often been associated with maladaptive aspects of psychosocial functioning such as anxiety and depression. It is not known, however, whether maladaptive psychosocial functioning is related to both personal and ethnic identity exploration. In the present study, we examined the relationships of personal and ethnic identity exploration to adaptive (self-esteem, purpose in life, internal locus of control, and ego strength) and maladaptive (depression, anxiety, impulsivity, and tolerance for deviance) psychosocial functioning, as well the extent to which these relationships were mediated by identity confusion. A multi-ethnic sample of 905 White, Black, and Hispanic university students completed measures of personal and ethnic identity exploration, as well as of adaptive and maladaptive psychosocial functioning. Current personal identity exploration was negatively associated with adaptive psychosocial functioning and was positively associated with anxiety, depression, and impulsivity. An opposite pattern of relationships emerged for past personal identity exploration. All these relationships were mediated by identity confusion – positively for current exploration and negatively for past exploration. Ethnic identity exploration was not directly associated with psycho social functioning and evidenced only a weak association through identity confusion. These findings were consistent across gender and across the three ethnic groups studied. Implications for identity theory, research, and intervention are discussed.

183 citations


Authors

Showing all 2291 results

NameH-indexPapersCitations
Alfred Kröner10137431665
Gabriel B. Brammer9133430335
William M. Tierney8442324235
Larry L. Jacoby7716625631
David P. DiVincenzo7128240038
James T. Carlton7019721690
Robert K. Merton6719074002
Allen Taylor6322216589
John A. Smolin6315024657
Qing Wang6254817215
Neal I. Lindeman6221731462
Michael I. Norton6027317597
Charles H. Bennett6011767435
Brian D. Fields5725063673
Hans C. Oettgen5712410056
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
202271
2021209
2020237
2019216
2018190