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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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Journal ArticleDOI
TL;DR: In this article, the enthalpies of fusion and melting point temperatures have been gathered from the chemical literature and presented in tabular form according to increasing carbon and hydrogen atom numbers.

167 citations

Journal ArticleDOI
TL;DR: This article examined how strategic communication is linked to specific relational features and found that perceptions of a communicator's competence mediate the effects of conflict strategies on the relational outcomes measured by trust, control mutuality, intimacy, and satisfaction.
Abstract: This study examines how strategic communication is linked to specific relational features. We hypothesize that perceptions of a communicator's competence mediate the effects of conflict strategies on the relational outcomes measured by trust, control mutuality, intimacy, and satisfaction. The components of competence were specific and general appropriateness, effectiveness, and global competence; these were included in LISREL analyses to investigate How the variables conflict, competence, and relational outcomes were linked. Participants reported on their partners’ conflict strategies, their own perceptions of the partner's competence, and relational variables. The results reveal that integrative strategies were positively linked to competence, whereas distributive and avoidant strategies were negatively linked to competence. The results support the view that competence perceptions mediate the link between conflict messages and relational outcomes.

167 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of TiB precipitates on the nucleation, growth, and morphology of the α phase precipitated during the solid-state β→α+β transformation in α/β Ti alloy composites is discussed.

167 citations

Journal ArticleDOI
TL;DR: In this paper, a review examines relationships between group personality composition (GPC) and group effectiveness, focusing on four questions: (a) How have researchers operationalized GPC? (b) What criteria have been used as measures of group effectiveness? (c) Is GPC related to group effectiveness; (d) Under what conditions is GPC associated with group effectiveness.
Abstract: This review examines relationships between group personality composition (GPC) and group effectiveness, focusing on four questions: (a) How have researchers operationalized GPC? (b) What criteria have been used as measures of group effectiveness? (c) Is GPC related to group effectiveness? (d) Under what conditions is GPC associated with group effectiveness? A review of 31 studies yielding 334 unique relationships distinguished task and relationship predictors and criteria. Findings indicate operational definitions of GPC are varied, variance scores correlate negatively with group effectiveness, and minimum scores predict as well as mean scores. GPC is related to group effectiveness, and the effect is stronger in field studies than lab studies. Implications are discussed.

167 citations

Book
01 Apr 2011
TL;DR: The use of graph-based algorithms for natural language processing and information retrieval is extensively covered in this article, which brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification, and text classification.
Abstract: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications, and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification, and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

167 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
20211,795
20201,769
20191,644
20181,484