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Institution

Texas Christian University

EducationFort Worth, Texas, United States
About: Texas Christian University is a education organization based out in Fort Worth, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3245 authors who have published 8258 publications receiving 282216 citations. The organization is also known as: TCU & Texas Christian University, TCU.


Papers
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Journal ArticleDOI
TL;DR: The paper develops new measures of the sufficiency and extraneousness of the attributes for each purpose and view and contributes a new construct, purpose-view alignment, which may help explain project success in future studies.

74 citations

Journal ArticleDOI
TL;DR: In this article, a case study of the potential effects of climate change on assessments of water-supply capabilities and focuses on whether and how climate change considerations should be incorporated in the water availability modeling (WAM) system.
Abstract: The state of Texas recently implemented a water-availability modeling (WAM) system to support planning and regulatory activities. River basin hydrology is represented in the WAM system by sequences of historical monthly naturalized streamflows and net reservoir evaporation rates. This paper describes a case study investigation of the potential effects of climate-change on assessments of water-supply capabilities and focuses on whether and how climate change considerations should be incorporated in the WAM system. A modeling approach was adopted to explore the impacts of climate change on hydrologic and institutional water availability for the numerous water users who depend on supplies provided by the 118,000 km2 Brazos River Basin. Analyses of historical naturalized streamflows indicate hidden but significant multiple-year cycles but no long-term trends during the twentieth century. A climate model and watershed hydrology model are used to adjust the WAM system hydrology to reflect anomalous climate duri...

74 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a model predicting the filtering efficiency of different sizes of filter-feeding gizzard shad Dorosoma cepedianum, based on the cumulative frequencies of interraker distances of the gill rakers.
Abstract: We developed a model predicting the filtering efficiency of different sizes of filter-feeding gizzard shad Dorosoma cepedianum. The model is based on the cumulative frequencies of interraker distances of the gill rakers and was corroborated by feeding trials in which gizzard shad ingested different sizes of suspended plastic microspheres and plankton. The proportion of particles removed by fish increased as a function of particle size, leveling off when particle diameters exceeded 35 μm for small fish (7.1–11.1 cm standard length, SL) and 55 μm for large fish (13.6–16.3 cm SL). According to selectivity index values computed from the filtering efficiency model, gizzard shad of 5, 15, and 25 cm SL would selectively feed on particles larger than 19, 40, and 63 μm, respectively. This change in selective particle ingestion may explain why phytoplankton becomes less important in the diet of gizzard shad and why this clupeid shifts its feeding niche as it increases in length.

74 citations

Journal ArticleDOI
TL;DR: It is suggested that athletes participating in short distance acceleration events (i.e., ≤15 yd; ≤13.7 m) should use AST protocols, whereas athletesparticipating in events that require greater maximum velocity should use resisted sprint training protocols.
Abstract: This investigation evaluated the effects of a 4-week, 12-session training program using resisted sprint training (RST), assisted sprint training (AST), and traditional sprint training (TST) on maximal velocity and acceleration in National Collegiate Athletic Association (NCAA) Division IA female soccer athletes (n = 27). The subjects, using their respective training modality, completed 10 maximal effort sprints of 20 yd (18.3 m) followed by a 20-yd (18.3 m) deceleration to jog. Repeated measures multivariate analyses of variance and analyses of variance demonstrated significant (p 15 yd; > 13.7 m) should use resisted sprint training protocols.

73 citations

Journal ArticleDOI
TL;DR: In this article, the authors identified five precursor sentiments deemed important by organizational scientists studying reactions of organizational change recipients, and collected interview data to understand reactions to change, and used them to guide the analysis of qualitative interview data collected from a top management team as part of an assessment of major organizational change.
Abstract: From research dating to the 1940s, we identified five precursor sentiments deemed important by organizational scientists studying reactions of organizational change recipients. Collectively, these sentiments constitute a framework for understanding reactions to change. We investigated the validity and utility of the framework for assessing the progress of an organizational change by using it to guide the analysis of qualitative interview data collected from a top management team as part of an assessment of a major organizational change. We demonstrate that the five-sentiment framework provides a useful and reliable tool for coding interview responses. In addition, the data, thus coded, provided very useful insight into the underlying concerns regarding the change. We suggest that the five sentiment framework is a useful guide for diagnosing change progress and planning measures to correct change shortcomings.

73 citations


Authors

Showing all 3295 results

NameH-indexPapersCitations
Fred H. Gage216967185732
Daniel J. Eisenstein179672151720
Michael A. Hitt12036174448
Joseph Sarkis10148245116
Peter M. Frinchaboy7621638085
Lynn A. Boatner7266122536
Tai C. Chen7027622671
D. Dwayne Simpson6524516239
Garry D. Bruton6415017157
Robert F. Lusch6418043021
Johnmarshall Reeve6011318671
Nigel F. Piercy541669051
Barbara J. Thompson5321712992
Zygmunt Gryczynski5237410692
Priyabrata Mukherjee5114014328
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202320
2022107
2021439
2020458
2019391
2018326