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Institution

University of North Texas

EducationDenton, Texas, United States
About: University of North Texas is a education organization based out in Denton, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 11866 authors who have published 26984 publications receiving 705376 citations. The organization is also known as: Fight, North Texas & UNT.


Papers
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Proceedings Article
01 Apr 2007
TL;DR: A method for generating sense-tagged data using Wikipedia as a source of sense annotations and showing that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers is described.
Abstract: This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

277 citations

Proceedings ArticleDOI
30 Mar 2009
TL;DR: This paper compares a number of knowledge-based and corpus-based measures of text similarity, evaluates the effect of domain and size on the corpus- based measures, and introduces a novel technique to improve the performance of the system by integrating automatic feedback from the student answers.
Abstract: In this paper, we explore unsupervised techniques for the task of automatic short answer grading. We compare a number of knowledge-based and corpus-based measures of text similarity, evaluate the effect of domain and size on the corpus-based measures, and also introduce a novel technique to improve the performance of the system by integrating automatic feedback from the student answers. Overall, our system significantly and consistently outperforms other unsupervised methods for short answer grading that have been proposed in the past.

277 citations

Journal ArticleDOI
TL;DR: This article will review a set of techniques to interpret MR effects, identify the elements of the data on which the methods focus, and identify statistical software to support such analyses.
Abstract: While multicollinearity may increase the difficulty of interpreting multiple regression (MR) results, it should not cause undue problems for the knowledgeable researcher. In the current paper, we argue that rather than using one technique to investigate regression results, researchers should consider multiple indices to understand the contributions that predictors make not only to a regression model, but to each other as well. Some of the techniques to interpret MR effects include, but are not limited to, correlation coefficients, beta weights, structure coefficients, all possible subsets regression, commonality coefficients, dominance weights, and relative importance weights. This article will review a set of techniques to interpret MR effects, identify the elements of the data on which the methods focus, and identify statistical software to support such analyses.

277 citations

Journal ArticleDOI
TL;DR: It is no longer adequate to describe responses of fish to thermal gradients, rather falsifiable hypotheses concerning adaptive relations between thermoselection, and physiological, biochemical, life-history and genetic correlates must be developed and tested experimentally.
Abstract: Fishes released from constraints of their previous thermal history tend to limit thermal exposure to a narrow range of temperatures. Thermoregulatory behavior (final preferendum) is a stable characteristic of each species studied, suggesting strong regulation by natural selection. However, the adaptive significance of the final preferendum has not been documented for most species. Species with wide geographic distributions, such as bluegill sunfish and largemouth bass exhibit constant laboratory final preferenda regardless of their geographic origin or thermal histories. This apparent evolutionary anomaly of the final preferendum requires further study. It is no longer adequate to describe responses of fish to thermal gradients, rather falsifiable hypotheses concerning adaptive relations between thermoselection, and physiological, biochemical, life-history and genetic correlates must be developed and tested experimentally.

276 citations

Journal ArticleDOI
29 Jan 2016-PLOS ONE
TL;DR: Arabidopsis plants were found to be more susceptible to a combination of salt and heat stress compared to each of the different stresses applied individually, and mutants deficient in abscisic acid metabolism and signaling were more susceptible than wild type plants.
Abstract: Abiotic stresses such as drought, heat or salinity are a major cause of yield loss worldwide. Recent studies revealed that the acclimation of plants to a combination of different environmental stresses is unique and cannot be directly deduced from studying the response of plants to each of the different stresses applied individually. Here we report on the response of Arabidopsis thaliana to a combination of salt and heat stress using transcriptome analysis, physiological measurements and mutants deficient in abscisic acid, salicylic acid, jasmonic acid or ethylene signaling. Arabidopsis plants were found to be more susceptible to a combination of salt and heat stress compared to each of the different stresses applied individually. The stress combination resulted in a higher ratio of Na+/K+ in leaves and caused the enhanced expression of 699 transcripts unique to the stress combination. Interestingly, many of the transcripts that specifically accumulated in plants in response to the salt and heat stress combination were associated with the plant hormone abscisic acid. In accordance with this finding, mutants deficient in abscisic acid metabolism and signaling were found to be more susceptible to a combination of salt and heat stress than wild type plants. Our study highlights the important role abscisic acid plays in the acclimation of plants to a combination of two different abiotic stresses.

276 citations


Authors

Showing all 12053 results

NameH-indexPapersCitations
Steven N. Blair165879132929
Scott D. Solomon1371145103041
Richard A. Dixon12660371424
Thomas E. Mallouk12254952593
Hong-Cai Zhou11448966320
Qian Wang108214865557
Boris I. Yakobson10744345174
J. N. Reddy10692666940
David Spiegel10673346276
Charles A. Nelson10355740352
Robert J. Vallerand9830141840
Gerald R. Ferris9333229478
Michael H. Abraham8972637868
Jere H. Mitchell8833724386
Alan Needleman8637339180
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022300
20211,796
20201,769
20191,645
20181,484