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Institution

Mississippi State University

EducationStarkville, Mississippi, United States
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.


Papers
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Journal ArticleDOI
01 Jul 2007
TL;DR: In this paper, the authors examine the process through which multilevel network structures translate into knowledge acquisition from alliance partners and argue that the degree of knowledge transfer a multidivisional company achieves from its network of alliance partners is determined by the organization's external network structure, but also by the structure of relationships among its business units.
Abstract: This article examines the process through which multilevel network structures translate into knowledge acquisition from alliance partners. The degree of knowledge transfer a multidivisional company achieves from its network of alliance partners is determined not only by the organization's external network structure, but also by the structure of relationships among its business units. By distinguishing two perspectives on the distribution of social capital's benefits – private versus collective – this article's approach reconciles the competing views on what types of network structures create social capital, that is, the brokerage and closure views of the social network literature. Private benefits of brokerage and centrality are more beneficial in interfirm networks, whereas collective benefits provided by network closure and low levels of centralization are more beneficial in intrafirm networks.

208 citations

Journal ArticleDOI
Judith A. Blake, Mary E. Dolan, H. Drabkin, David P. Hill, L. Ni, D. Sitnikov, Shane C. Burgess1, Teresia Buza1, Cathy R. Gresham1, Fiona M. McCarthy1, Lakshmi Pillai1, Hui Wang1, Seth Carbon2, Suzanna E. Lewis2, Christopher J. Mungall2, P Gaudet, Rex L. Chisholm, Petra Fey3, Warren A. Kibbe3, S. Basu3, Deborah A. Siegele4, B. K. McIntosh4, Daniel P. Renfro4, Adrienne E. Zweifel4, James C. Hu4, Nicholas H. Brown5, Susan Tweedie5, Yasmin Alam-Faruque, Rolf Apweiler, A. Auchinchloss, Kristian B. Axelsen, Ghislaine Argoud-Puy, Benoit Bely, M. C. Blatter, Lydie Bougueleret, Emmanuel Boutet, S. Branconi-Quintaje, Lionel Breuza, Alan Bridge, Paul Browne, W. M. Chan, Elisabeth Coudert, Isabelle Cusin, E. Dimmer, P. Duek-Roggli, Ruth Y. Eberhardt, Anne Estreicher, L Famiglietti, S. Ferro-Rojas, M Feuermann, Malcolm J. Gardner, Arnaud Gos, Nadine Gruaz-Gumowski, Ursula Hinz, Chantal Hulo, Rachael P. Huntley, J. James, S. Jimenez, Florence Jungo, Guillaume Keller, Kati Laiho, Duncan Legge, P Lemercier, Damien Lieberherr, Michele Magrane, Maria Jesus Martin, Patrick Masson, M. Moinat, Claire O'Donovan, Ivo Pedruzzi, Klemens Pichler, Diego Poggioli, P. Porras Millán, Sylvain Poux, Catherine Rivoire, Bernd Roechert, Tony Sawford, Maria Victoria Schneider, H. Sehra, Eleanor J Stanley, Andre Stutz, Shyamala Sundaram, Michael Tognolli, Ioannis Xenarios, Rebecca E. Foulger, Jane Lomax, Paola Roncaglia, Evelyn Camon6, Varsha K. Khodiyar6, Ruth C. Lovering6, Philippa J. Talmud6, Marcus C. Chibucos7, M. Gwinn Giglio7, Kara Dolinski8, Sven Heinicke8, Michael S. Livstone8, Ralf Stephan, Midori A. Harris5, Stephen G. Oliver5, Kim Rutherford5, Valerie Wood5, Jürg Bähler6, Antonia Lock6, Paul J. Kersey9, Mark D. McDowall9, Daniel M. Staines9, Melinda R. Dwinell10, Mary Shimoyama10, Stan Laulederkind10, Tom Hayman10, Shur-Jen Wang10, Victoria Petri10, Timothy F. Lowry10, P D'Eustachio11, Lisa Matthews11, C. D. Amundsen12, Rama Balakrishnan12, Gail Binkley12, J. M. Cherry12, Karen R. Christie12, Maria C. Costanzo12, Selina S. Dwight12, Stacia R. Engel12, Dianna G. Fisk12, Jodi E. Hirschman12, Benjamin C. Hitz12, Eurie L. Hong12, Kalpana Karra12, Cynthia J. Krieger12, Stuart R. Miyasato12, Robert S. Nash12, Julie Park12, Marek S. Skrzypek12, Shuai Weng12, Edith D. Wong12, Tanya Z. Berardini13, Dong Li13, Eva Huala13, Donna K. Slonim14, Heather C. Wick14, Paul Thomas15, Juancarlos Chan16, Ranjana Kishore16, Paul W. Sternberg16, K. Van Auken16, Douglas G. Howe17, Monte Westerfield17 
TL;DR: The Gene Ontology (GO) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies and continues to expand and improve as a result of targeted ontology development.
Abstract: The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources.

207 citations

Journal ArticleDOI
TL;DR: A classifier that couples nearest-subspace classification with a distance-weighted Tikhonov regularization with a competitive process among the classes is proposed to simplify parameter tuning for hyperspectral imagery.
Abstract: A classifier that couples nearest-subspace classification with a distance-weighted Tikhonov regularization is proposed for hyperspectral imagery. The resulting nearest-regularized-subspace classifier seeks an approximation of each testing sample via a linear combination of training samples within each class. The class label is then derived according to the class which best approximates the test sample. The distance-weighted Tikhonov regularization is then modified by measuring distance within a locality-preserving lower-dimensional subspace. Furthermore, a competitive process among the classes is proposed to simplify parameter tuning. Classification results for several hyperspectral image data sets demonstrate superior performance of the proposed approach when compared to other, more traditional classification techniques.

207 citations

Journal ArticleDOI
TL;DR: It appears that this newly developed Bt cotton expressing two toxins will be more effective and have a wider range of activity on these lepidopteran pests.
Abstract: A series of laboratory assays were performed to compare the relative impact of commercial and experimental cultivars of cotton, Gossypium hirsutum (L.), expressing zero, one, or two insecticidal proteins of Bacillus thuringiensis Berliner, on several lepidopteran pests. Assays in which larvae were fed fresh plant tissue indicated that dual-toxin B. thuringiensis (Bt) cultivars, expressing both Cry1Ac and Cry2Ab endotoxins of B. thuringiensis, were more toxic to bollworms, Helicoverpa zea (Boddie), fall armyworms, Spodoptera frugiperda (J. E. Smith), and beet armyworms, Spodoptera exigua (Hubner), than single-toxin cultivars expressing Cry1Ac. Assays in which lyophilized plant tissue was incorporated into artificial diet also indicated improved activity of the dual-toxin Bt cultivar compared with single-toxin plants. Both bollworm and tobacco budworm, Heliothis virescens (F.), growth was reduced by Bt cotton, particularly the dual-toxin cultivar. Although assays with lyophilized tissues were done using largely sublethal doses, bollworm survival was reduced by the dual-toxin cultivar. It appears that this newly developed Bt cotton expressing two toxins will be more effective and have a wider range of activity on these lepidopteran pests.

207 citations

Journal ArticleDOI
TL;DR: It is concluded that the combination of a commercial antioxidant and biocide is synergistic, which implies that extractives may protect wood by more than simply being fungicidal.

206 citations


Authors

Showing all 14277 results

NameH-indexPapersCitations
Naomi J. Halas14043582040
Bin Liu138218187085
Shuai Liu129109580823
Vijay P. Singh106169955831
Liangpei Zhang9783935163
K. L. Dooley9532063579
Feng Chen95213853881
Marco Cavaglia9337260157
Tuan Vo-Dinh8669824690
Nicholas H. Barton8426732707
S. Kandhasamy8123550363
Michael S. Sacks8038620510
Dinesh Mohan7928335775
James Mallet7820921349
George D. Kuh7724830346
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022247
20211,725
20201,620
20191,465
20181,467