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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84 citations
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22 Sep 2003TL;DR: This paper introduces an approach for semantically enhanced collaborative filtering in which structured semantic knowledge about items, extracted automatically from the Web based on domain-specific reference ontologies, is used in conjunction with user-item mappings to create a combined similarity measure and generate predictions.
Abstract: Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificing recommendation or prediction accuracy. Item-based algorithms avoid the bottleneck in computing user-user correlations by first considering the relationships among items and performing similarity computations in a reduced space. Because the computation of item similarities is independent of the methods used for generating predictions, multiple knowledge sources, including structured semantic information about items, can be brought to bear in determining similarities among items. The integration of semantic similarities for items with rating- or usage-based similarities allows the system to make inferences based on the underlying reasons for which a user may or may not be interested in a particular item. Furthermore, in cases where little or no rating (or usage) information is available (such as in the case of newly added items, or in very sparse data sets), the system can still use the semantic similarities to provide reasonable recommendations for users. In this paper, we introduce an approach for semantically enhanced collaborative filtering in which structured semantic knowledge about items, extracted automatically from the Web based on domain-specific reference ontologies, is used in conjunction with user-item mappings to create a combined similarity measure and generate predictions. Our experimental results demonstrate that the integrated approach yields significant advantages both in terms of improving accuracy, as well as in dealing with very sparse data sets or new items.
84 citations
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TL;DR: Assuming an S-shaped population or organism size versus time curve and a growth rate law, the rate equation can be converted to an integral function from which the best pair to describe the growth rate can be obtained graphically.
84 citations
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TL;DR: Alternative treatments, acupuncture and several types of meditative practice show the most promise for future scientific investigation, and magnesium, l-carnitine, and S-adenosylmethionine are nonpharmacological supplements with the most potential for further research.
Abstract: Background: There have been several systematic reviews attempting to evaluate the efficacy of possible treatments for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM). However, information regarding the efficacy of complementary and alternative medicine (CAM) has not been comprehensively or systematically covered in these reviews, despite its frequent use in the patient community. Purpose: The purpose of this study was to systematically review and evaluate the current literature related to alternative and complementary treatments for ME/CFS and FM. It should be stressed that the treatments evaluated in this review do not reflect the clinical approach used by most practitioners to treat these illnesses, which include a mix of natural and unconventionally used medications and natural hormones tailored to each individual case. However, nearly all clinical research has focused on the utility of single CAM interventions, and thus is the primary focus of this review. Me...
84 citations
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TL;DR: The main stressors identified by the subjects as a result of adjusting to life in the United States were language barriers, isolation and loneliness, fear of dependence upon their children,Fear of being a burden, financial problems, transportation problems, discrimination, and fear of death.
Abstract: The purpose of this preliminary, qualitative study was to describe elderly Korean immigrants' perception of stressors they experienced through immigration and the acculturation process. The methodology used was naturalistic inquiry, a descriptive approach used to elicit the elderly immigrants' own perception of their immigration and acculturation experiences. The six elderly Korean immigrants were interviewed via a semi-structured, open-ended interview guide. The main stressors identified by the subjects as a result of adjusting to life in the United States were language barriers, isolation and loneliness, fear of dependence upon their children, fear of being a burden, financial problems, transportation problems, discrimination, and fear of death. These Korean elders also perceived changes in the traditional family values of respect for elders and support for the aged. The results of this research help to provide an understanding of the immigration and acculturation experiences of elderly Korean immigrants.
83 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 |