Institution
University of North Texas
Education•Denton, 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 published on a yearly basis
Papers
More filters
••
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
••
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
••
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
••
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
•
01 Apr 2011TL;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
Name | H-index | Papers | Citations |
---|---|---|---|
Steven N. Blair | 165 | 879 | 132929 |
Scott D. Solomon | 137 | 1145 | 103041 |
Richard A. Dixon | 126 | 603 | 71424 |
Thomas E. Mallouk | 122 | 549 | 52593 |
Hong-Cai Zhou | 114 | 489 | 66320 |
Qian Wang | 108 | 2148 | 65557 |
Boris I. Yakobson | 107 | 443 | 45174 |
J. N. Reddy | 106 | 926 | 66940 |
David Spiegel | 106 | 733 | 46276 |
Charles A. Nelson | 103 | 557 | 40352 |
Robert J. Vallerand | 98 | 301 | 41840 |
Gerald R. Ferris | 93 | 332 | 29478 |
Michael H. Abraham | 89 | 726 | 37868 |
Jere H. Mitchell | 88 | 337 | 24386 |
Alan Needleman | 86 | 373 | 39180 |