Institution
Auburn University
Education•Auburn, Alabama, United States•
About: Auburn University is a education organization based out in Auburn, Alabama, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 19653 authors who have published 41830 publications receiving 1059561 citations. The organization is also known as: AU & AUM.
Topics: Population, Catfish, Poison control, Context (language use), Ictalurus
Papers published on a yearly basis
Papers
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TL;DR: This paper reviews process parameters and their fundamental modes of action for promising pretreatment methods and concludes that pretreatment processing conditions must be tailored to the specific chemical and structural composition of the various, and variable, sources of lignocellulosic biomass.
6,110 citations
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TL;DR: Signaling theory is useful for describing behavior when two parties (individuals or organizations) have access to different information as mentioned in this paper, and it holds a prominent position in a variety of management literatures, including strategic management, entrepreneurship, and human resource management.
3,241 citations
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TL;DR: An overview and tutorial is presented describing genetic algorithms (GA) developed specifically for problems with multiple objectives that differ primarily from traditional GA by using specialized fitness functions and introducing methods to promote solution diversity.
2,943 citations
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TL;DR: A tutorial account of variable structure control with sliding mode is presented, introducing in a concise manner the fundamental theory, main results, and practical applications of this powerful control system design approach.
Abstract: A tutorial account of variable structure control with sliding mode is presented. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of this powerful control system design approach. This approach is particularly attractive for the control of nonlinear systems. Prominent characteristics such as invariance, robustness, order reduction, and control chattering are discussed in detail. Methods for coping with chattering are presented. Both linear and nonlinear systems are considered. Future research areas are suggested and an extensive list of references is included. >
2,884 citations
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TL;DR: Results indicate that the PCL-5 is a psychometrically sound measure of PTSD symptoms, and implications for use of the PCl-5 in a variety of assessment contexts are discussed.
Abstract: The Posttraumatic Stress Disorder Checklist (PCL) is a widely used DSM-correspondent self-report measure of PTSD symptoms. The PCL was recently revised to reflect DSM-5 changes to the PTSD criteria. In this article, the authors describe the development and initial psychometric evaluation of the PCL for DSM-5 (PCL-5). Psychometric properties of the PCL-5 were examined in 2 studies involving trauma-exposed college students. In Study 1 (N = 278), PCL-5 scores exhibited strong internal consistency (α = .94), test-retest reliability (r = .82), and convergent (rs = .74 to .85) and discriminant (rs = .31 to .60) validity. In addition, confirmatory factor analyses indicated adequate fit with the DSM-5 4-factor model, χ2 (164) = 455.83, p < .001, standardized root mean square residual (SRMR) = .07, root mean squared error of approximation (RMSEA) = .08, comparative fit index (CFI) = .86, and Tucker-Lewis index (TLI) = .84, and superior fit with recently proposed 6-factor, χ2 (164) = 318.37, p < .001, SRMR = .05, RMSEA = .06, CFI = .92, and TLI = .90, and 7-factor, χ2 (164) = 291.32, p < .001, SRMR = .05, RMSEA = .06, CFI = .93, and TLI = .91, models. In Study 2 (N = 558), PCL-5 scores demonstrated similarly strong reliability and validity. Overall, results indicate that the PCL-5 is a psychometrically sound measure of PTSD symptoms. Implications for use of the PCL-5 in a variety of assessment contexts are discussed.
2,774 citations
Authors
Showing all 19867 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jian-Kang Zhu | 161 | 550 | 105551 |
David W. Bates | 159 | 1239 | 116698 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Nancy J. Cox | 135 | 778 | 109195 |
Shaobin Wang | 126 | 872 | 52463 |
Fuller W. Bazer | 109 | 803 | 46194 |
William L. Jorgensen | 108 | 586 | 95112 |
Erik De Clercq | 106 | 1447 | 59200 |
Leonard H. Epstein | 106 | 575 | 40114 |
Li Chen | 105 | 1732 | 55996 |
Wei Liu | 102 | 2927 | 65228 |
Abby C. King | 99 | 434 | 39674 |
Jan Balzarini | 99 | 1431 | 47240 |
Thomas E. Spencer | 98 | 383 | 32248 |
C.T. Liu | 93 | 716 | 37841 |