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Institution

University of Alabama

EducationTuscaloosa, Alabama, United States
About: University of Alabama is a education organization based out in Tuscaloosa, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27323 authors who have published 48609 publications receiving 1565337 citations. The organization is also known as: Alabama & Bama.


Papers
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Journal ArticleDOI
TL;DR: The LysM RLK1-mediated chitin signaling pathway is unique, but it may share a conserved downstream pathway with the FLS2/flagellin- and EFR/EF-Tu–mediated signaling pathways.
Abstract: Chitin, a polymer of N -acetyl-d-glucosamine, is found in fungal cell walls but not in plants. Plant cells can perceive chitin fragments (chitooligosaccharides) leading to gene induction and defense responses. We identified a LysM receptor-like protein (LysM RLK1) required for chitin signaling in Arabidopsis thaliana . The mutation in this gene blocked the induction of almost all chitooligosaccharide-responsive genes and led to more susceptibility to fungal pathogens but had no effect on infection by a bacterial pathogen. Additionally, exogenously applied chitooligosaccharides enhanced resistance against both fungal and bacterial pathogens in the wild-type plants but not in the mutant. Together, our data indicate that LysM RLK1 is essential for chitin signaling in plants (likely as part of the receptor complex) and is involved in chitin-mediated plant innate immunity. The LysM RLK1-mediated chitin signaling pathway is unique, but it may share a conserved downstream pathway with the FLS2/flagellin- and EFR/EF-Tu–mediated signaling pathways. Additionally, our work suggests a possible evolutionary relationship between the chitin and Nod factor perception mechanisms due to the similarities between their potential receptors and between the signal molecules perceived by them.

741 citations

Journal ArticleDOI
TL;DR: A consensus document is presented that proposes a standardized case definition and diagnostic guidelines for evaluation of adults and children with suspected encephalitis and will serve as a practical aid to clinicians evaluating patients with suspectedEncephalitis.
Abstract: Background Encephalitis continues to result in substantial morbidity and mortality worldwide. Advances in diagnosis and management have been limited, in part, by a lack of consensus on case definitions, standardized diagnostic approaches, and priorities for research. Methods In March 2012, the International Encephalitis Consortium, a committee begun in 2010 with members worldwide, held a meeting in Atlanta to discuss recent advances in encephalitis and to set priorities for future study. Results We present a consensus document that proposes a standardized case definition and diagnostic guidelines for evaluation of adults and children with suspected encephalitis. In addition, areas of research priority, including host genetics and selected emerging infections, are discussed. Conclusions We anticipate that this document, representing a synthesis of our discussions and supported by literature, will serve as a practical aid to clinicians evaluating patients with suspected encephalitis and will identify key areas and approaches to advance our knowledge of encephalitis.

740 citations

Journal ArticleDOI
TL;DR: The willingness of the Banff process to adapt continuously in response to new research and improve potential weaknesses, led to the implementation of six working groups on the following areas: isolated v‐lesion, fibrosis scoring, glomerular lesions, molecular pathology, polyomavirus nephropathy and quality assurance.

738 citations

Proceedings ArticleDOI
01 Feb 1990
TL;DR: In this article, a small population approach (coined as Micro-Genetic Algorithms--μGA) with some very simple genetic parameters was explored and it was shown that,μGA implementation reaches the near-optimal region much earlier than the SGA implementation.
Abstract: Simple Genetic Algorithms (SGA) have been shown to be useful tools for many function optimization problems. One present drawback of SGA is the time penalty involved in evaluating the fitness functions (performance indices) for large populations, generation after generation. This paper explores a small population approach (coined as Micro-Genetic Algorithms--μGA) with some very simple genetic parameters. It is shown that ,μGA implementation reaches the near-optimal region much earlier than the SGA implementation. The superior performance of the ,μGA in the presence of multimodality and their merits in solving non-stationary function optimization problems are demonstrated.

736 citations

Journal ArticleDOI
TL;DR: In this article, the authors utilized data from 1,067 firms in six countries to clarify the psychometric properties of the entrepreneurial orientation (EO) measure, and the first research question addressed dimensional information.
Abstract: This study utilized data from 1,067 firms In six countries to clarify the psychometric properties of the entrepreneurial orientation (EO) measure. The first research question addressed dimensionali...

735 citations


Authors

Showing all 27508 results

NameH-indexPapersCitations
Jasvinder A. Singh1762382223370
Hongfang Liu1662356156290
Ian J. Deary1661795114161
Yongsun Kim1562588145619
Dong-Chul Son138137098686
Simon C. Watkins13595068358
Kenichi Hatakeyama1341731102438
Conor Henderson133138788725
Peter R Hobson133159094257
Tulika Bose132128588895
Helen F Heath132118589466
James Rohlf131121589436
Panos A Razis130128790704
David B. Allison12983669697
Eduardo Marbán12957949586
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202372
2022357
20212,703
20202,759
20192,602
20182,411