Zobrazeno 1 - 10
of 538
pro vyhledávání: '"Sharpee TO"'
Autor:
Praturu, Anoop, Sharpee, Tatyana O.
Publikováno v:
In iScience 20 December 2024 27(12)
Autor:
George G. Kennedy, William Sharpee, Alana L. Jacobson, Mary Wambugu, Benard Mware, Linda Hanley-Bowdoin
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Cassava mosaic disease is caused by a complex of whitefly-transmitted begomoviruses, which often occur in co-infections. These viruses have bipartite genomes consisting of DNA-A and DNA-B that are encapsidated into separate virions. Individu
Externí odkaz:
https://doaj.org/article/9ad0f748e8c347ab938f00972501b2fb
Akademický článek
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Autor:
Anna E. Dye, Brenda Muga, Jenniffer Mwangi, J. Steen Hoyer, Vanessa Ly, Yamilex Rosado, William Sharpee, Benard Mware, Mary Wambugu, Paul Labadie, David Deppong, Louis Jackai, Alana Jacobson, George Kennedy, Elijah Ateka, Siobain Duffy, Linda Hanley-Bowdoin, Ignazio Carbone, José Trinidad Ascencio-Ibáñez
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Cassava is a root crop important for global food security and the third biggest source of calories on the African continent. Cassava production is threatened by Cassava mosaic disease (CMD), which is caused by a complex of single-stranded DNA viruses
Externí odkaz:
https://doaj.org/article/da426d13260149268a29991e5609334c
Using the diagrammatic method, we derive a set of self-consistent equations that describe eigenvalue distributions of large correlated asymmetric random matrices. The matrix elements can have different variances and be correlated with each other. The
Externí odkaz:
http://arxiv.org/abs/1610.09353
Autor:
Zhou, Yuansheng, Sharpee, Tatyana O.
Publikováno v:
In iScience 19 March 2021 24(3)
Publikováno v:
Phys. Rev. E 93, 022302 (2016)
Using a generalized random recurrent neural network model, and by extending our recently developed mean-field approach [J. Aljadeff, M. Stern, T. Sharpee, Phys. Rev. Lett. 114, 088101 (2015)], we study the relationship between the network connectivit
Externí odkaz:
http://arxiv.org/abs/1509.02546
Autor:
Kennedy, George G.1 (AUTHOR) gkennedy@ncsu.edu, Sharpee, William1 (AUTHOR), Jacobson, Alana L.2 (AUTHOR), Wambugu, Mary3 (AUTHOR), Mware, Benard3 (AUTHOR), Hanley-Bowdoin, Linda4 (AUTHOR)
Publikováno v:
Scientific Reports. 6/21/2023, Vol. 13 Issue 1, p1-13. 13p.
Akademický článek
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Computation in the brain involves multiple types of neurons, yet the organizing principles for how these neurons work together remain unclear. Information theory has offered explanations for how different types of neurons can optimize the encoding of
Externí odkaz:
http://arxiv.org/abs/1409.2604