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Institution

University of Vermont

EducationBurlington, Vermont, United States
About: University of Vermont is a education organization based out in Burlington, Vermont, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 17592 authors who have published 38251 publications receiving 1609874 citations. The organization is also known as: UVM & University of Vermont and State Agricultural College.


Papers
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Journal ArticleDOI
TL;DR: In this article, an object-oriented approach for analyzing and characterizing the urban landscape structure at the parcel level using high-resolution digital aerial imagery and LIght Detection and Ranging (LIDAR) data was presented.
Abstract: This paper presents an object-oriented approach for analysing and characterizing the urban landscape structure at the parcel level using high-resolution digital aerial imagery and LIght Detection and Ranging (LIDAR) data. Additional spatial datasets including property parcel boundaries and building footprints were used to both facilitate object segmentation and obtain greater classification accuracy. The study area is the Gwynns Falls watershed, which includes portions of Baltimore City and Baltimore County, MD. A three-level hierarchical network of image objects was generated, and objects were classified. At the two lower levels, objects were classified into five classes, building, pavement, bare soil, fine textured vegetation and coarse textured vegetation, respectively. The object-oriented classification approach proved to be effective for urban land cover classification. The overall accuracy of the classification was 92.3%, and the overall Kappa statistic was 0.899. Land cover proportions as well as vegetation characteristics were then summarized by property parcel. This exercise resulted in a knowledge base of rules for urban land cover classification, which could potentially be applied to other urban areas.

325 citations

Journal ArticleDOI
TL;DR: This work introduces a class of metapopulation models in which homogeneous mixing holds within local contexts, and that these contexts are embedded in a nested hierarchy of successively larger domains and allow diseases to spread stochastically.
Abstract: Although population structure has long been recognized as relevant to the spread of infectious disease, traditional mathematical models have understated the role of nonhomogenous mixing in populations with geographical and social structure. Recently, a wide variety of spatial and network models have been proposed that incorporate various aspects of interaction structure among individuals. However, these more complex models necessarily suffer from limited tractability, rendering general conclusions difficult to draw. In seeking a compromise between parsimony and realism, we introduce a class of metapopulation models in which we assume homogeneous mixing holds within local contexts, and that these contexts are embedded in a nested hierarchy of successively larger domains. We model the movement of individuals between contexts via simple transport parameters and allow diseases to spread stochastically. Our model exhibits some important stylized features of real epidemics, including extreme size variation and temporal heterogeneity, that are difficult to characterize with traditional measures. In particular, our results suggest that when epidemics do occur the basic reproduction number R 0 may bear little relation to their final size. Informed by our model's behavior, we suggest measures for characterizing epidemic thresholds and discuss implications for the control of epidemics. math model population structure

325 citations

Journal ArticleDOI
TL;DR: The rate of contrast-induced nephropathy, defined by multiple end points, is not statistically different after the intraarterial administration of iopamidol or iodixanol to high-risk patients, with or without diabetes mellitus.
Abstract: Background— No direct comparisons exist of the renal tolerability of the low-osmolality contrast medium iopamidol with that of the iso-osmolality contrast medium iodixanol in high-risk patients. Methods and Results— The present study is a multicenter, randomized, double-blind comparison of iopamidol and iodixanol in patients with chronic kidney disease (estimated glomerular filtration rate, 20 to 59 mL/min) who underwent cardiac angiography or percutaneous coronary interventions. Serum creatinine (SCr) levels and estimated glomerular filtration rate were assessed at baseline and 2 to 5 days after receiving medications. The primary outcome was a postdose SCr increase ≥0.5 mg/dL (44.2 μmol/L) over baseline. Secondary outcomes were a postdose SCr increase ≥25%, a postdose estimated glomerular filtration rate decrease of ≥25%, and the mean peak change in SCr. In 414 patients, contrast volume, presence of diabetes mellitus, use of N-acetylcysteine, mean baseline SCr, and estimated glomerular filtration rate we...

325 citations

Journal ArticleDOI
TL;DR: The authors proposed that people treat the resources, perspectives, and identities of close others as their own, and applied this idea to deepening understanding of feeling "too close" (including too much of the other in the self leading to feeling controlled or a loss of identity).
Abstract: We propose that to some extent, people treat the resources, perspectives, and identities of close others as their own. This proposal is supported by allocation, attribution, response time, and memory experiments. Recently, we have applied this idea to deepening understanding of feeling “too close” (including too much of the other in the self leading to feeling controlled or a loss of identity), the effects of relationship loss (it is distressing to the extent that the former partner was included in the self, liberating to the extent that the former partner was preventing self-expansion), ingroup identification (including ingroup in the self), and the effect of outgroup friendships on outgroup attitudes (including outgroup member in the self entails including outgroup member's identity in the self).

325 citations

Journal ArticleDOI
TL;DR: Adolescents who play more than one hour of console or Internet video games may have more or more intense symptoms of ADHD or inattention than those who do not, and may also place these individuals at increased risk for problems in school.
Abstract: Background: Excessive use of the Internet has been associated with attention deficit hyperactivity disorder (ADHD), but the relationship between video games and ADHD symptoms in adolescents is unknown. Method: A survey of adolescents and parents (n = 72 adolescents, 72 parents) was performed assessing daily time spent on the Internet, television, console video games, and Internet video games, and their association with academic and social functioning. Subjects were high school students in the ninth and tenth grade. Students were administered a modified Young's Internet Addiction Scale (YIAS) and asked questions about exercise, grades, work, and school detentions. Parents were asked to complete the Conners' Parent Rating Scale (CPRS) and answer questions regarding medical/psychiatric conditions in their child. Results: There was a significant association between time spent playing games for more than one hour a day and YIAS (p < 0.001), overall grade point average (p ≤ 0.019), and the "Inattention" and "ADHD" components of the CPRS (p ≤ 0.001 and p ≤ 0.020, respectively). No significant association was found between body mass index (BMI), exercise, number of detentions, or the "Oppositional" and "Hyperactivity" components of CPRS and video game use. Conclusion: Adolescents who play more than one hour of console or Internet video games may have more or more intense symptoms of ADHD or inattention than those who do not. Given the possible negative effects these conditions may have on scholastic performance, the added consequences of more time spent on video games may also place these individuals at increased risk for problems in school.

325 citations


Authors

Showing all 17727 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Ralph B. D'Agostino2261287229636
George Davey Smith2242540248373
Stephen V. Faraone1881427140298
Valentin Fuster1791462185164
Dennis J. Selkoe177607145825
Anders Björklund16576984268
Alfred L. Goldberg15647488296
Christopher P. Cannon1511118108906
Debbie A Lawlor1471114101123
Roger J. Davis147498103478
Andrew S. Levey144600156845
Jonathan G. Seidman13756389782
Yu Huang136149289209
Christine E. Seidman13451967895
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202359
2022177
20211,840
20201,762
20191,653
20181,569