Institution
DePaul University
Education•Chicago, Illinois, United States•
About: DePaul University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5658 authors who have published 11562 publications receiving 295257 citations.
Topics: Population, Poison control, Chronic fatigue syndrome, Recommender system, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: The shifting nature of international conflict has prompted a rethinking of the Correlates of War Project's classification of wars and a new expanded war typology and the resultant three war data sets as discussed by the authors.
Abstract: The shifting nature of international conflict has prompted a rethinking of the Correlates of War Project's classification of wars. This research note describes the new expanded war typology and the resultant three war data sets. Lists of the qualifying wars in the inter-state, extra-state, and intra-state categories during the 1816-1997 period are appended.
515 citations
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TL;DR: It is suggested that MTF transgender youth of color have many unmet needs and are at extreme risk of acquiring HIV, and future research is needed to better understand this adolescent subgroup and to develop targeted broad-based interventions that reduce risky behaviors.
511 citations
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TL;DR: A positive association between perceived racism and psychological distress is found and a moderation effect for psychological outcomes is found, with anxiety, depression, and other psychiatric symptoms having a significantly stronger association than quality of life indicators.
Abstract: The literature indicates that perceived racism tends to be associated with adverse psychological and physiological outcomes; however, findings in this area are not yet conclusive. In this meta-analysis, we systematically reviewed 66 studies (total sample size of 18,140 across studies), published between January 1996 and April 2011, on the associations between racism and mental health among Black Americans. Using a random-effects model, we found a positive association between perceived racism and psychological distress (r .20). We found a moderation effect for psychological outcomes, with anxiety, depression, and other psychiatric symptoms having a significantly stronger association than quality of life indicators. We did not detect moderation effects for type of racism scale, measurement precision, sample type, or type of publication. Implications for research and practice are discussed.
510 citations
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National Institutes of Health1, Kean University2, Murdoch University3, Agricultural Research Service4, University of Graz5, Hirosaki University6, Mae Fah Luang University7, Biotec8, University of North Carolina at Chapel Hill9, Uppsala University10, Masaryk University11, DePaul University12, Oregon State University13, Illinois Natural History Survey14, University of Illinois at Chicago15, University of Chicago16, University of Minnesota17, Universidade Nova de Lisboa18, Prince of Songkla University19, University of Hong Kong20, Blaise Pascal University21, University of Illinois at Urbana–Champaign22, Technical University of Madrid23, Tuscia University24, Tottori University25, University of Pretoria26, Stellenbosch University27
TL;DR: A genomic comparison of 6 dothideomycete genomes with other fungi finds a high level of unique protein associated with the class, supporting its delineation as a separate taxon.
507 citations
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09 Nov 2001TL;DR: This paper proposes effective and scalable techniques for Web personalization based on association rule discovery from usage data that can achieve better recommendation effectiveness, while maintaining a computational advantage over direct approaches to collaborative filtering such as the k-nearest-neighbor strategy.
Abstract: To engage visitors to a Web site at a very early stage (i.e., before registration or authentication), personalization tools must rely primarily on clickstream data captured in Web server logs. The lack of explicit user ratings as well as the sparse nature and the large volume of data in such a setting poses serious challenges to standard collaborative filtering techniques in terms of scalability and performance. Web usage mining techniques such as clustering that rely on offline pattern discovery from user transactions can be used to improve the scalability of collaborative filtering, however, this is often at the cost of reduced recommendation accuracy. In this paper we propose effective and scalable techniques for Web personalization based on association rule discovery from usage data. Through detailed experimental evaluation on real usage data, we show that the proposed methodology can achieve better recommendation effectiveness, while maintaining a computational advantage over direct approaches to collaborative filtering such as the k-nearest-neighbor strategy.
499 citations
Authors
Showing all 5724 results
Name | H-index | Papers | Citations |
---|---|---|---|
C. N. R. Rao | 133 | 1646 | 86718 |
Mark T. Greenberg | 107 | 529 | 49878 |
Stanford T. Shulman | 85 | 502 | 34248 |
Paul Erdös | 85 | 640 | 34773 |
T. M. Crawford | 85 | 270 | 23805 |
Michael H. Dickinson | 79 | 196 | 23094 |
Hanan Samet | 75 | 369 | 25388 |
Stevan E. Hobfoll | 74 | 271 | 35870 |
Elias M. Stein | 69 | 189 | 44787 |
Julie A. Mennella | 68 | 178 | 13215 |
Raouf Boutaba | 67 | 519 | 23936 |
Paul C. Kuo | 64 | 389 | 13445 |
Gary L. Miller | 63 | 306 | 13010 |
Bamshad Mobasher | 63 | 243 | 18867 |
Gail McKoon | 62 | 125 | 14952 |