Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alexandria Volkening"'
Autor:
W. Duncan Martinson, Alexandria Volkening, Markus Schmidtchen, Chandrasekhar Venkataraman, José A. Carrillo
Publikováno v:
Royal Society Open Science, Vol 11, Iss 7 (2024)
Self-organization of individuals within large collectives occurs throughout biology. Mathematical models can help elucidate the individual-level mechanisms behind these dynamics, but analytical tractability often comes at the cost of biological intui
Externí odkaz:
https://doaj.org/article/ec2c9bf134114955a20676d5ba1f1c3d
Publikováno v:
npj Systems Biology and Applications, Vol 9, Iss 1, Pp 1-14 (2023)
Abstract Different cell types aggregate and sort into hierarchical architectures during the formation of animal tissues. The resulting spatial organization depends (in part) on the strength of adhesion of one cell type to itself relative to other cel
Externí odkaz:
https://doaj.org/article/fcabfc95c4334eea868c71230255412f
Autor:
Joseph Benson, Mariya Bessonov, Korana Burke, Simone Cassani, Maria-Veronica Ciocanel, Daniel B. Cooney, Alexandria Volkening
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 9179-9207 (2023)
Academic spaces in colleges and universities span classrooms for $ 10 $ students to lecture halls that hold over $ 600 $ people. During the break between consecutive classes, students from the first class must leave and the new class must find their
Externí odkaz:
https://doaj.org/article/dd940676b4bd42be8424fba21997477c
Autor:
Kristina Mallory, Joshua Rubin Abrams, Anne Schwartz, Maria-Veronica Ciocanel, Alexandria Volkening, Björn Sandstede
Publikováno v:
Royal Society Open Science, Vol 8, Iss 1 (2021)
Studying the spread of infections is an important tool in limiting or preventing future outbreaks. A first step in understanding disease dynamics is constructing networks that reproduce features of real-world interactions. In this paper, we generate
Externí odkaz:
https://doaj.org/article/3593ef6a11804048bce34d6c185e58f4
Autor:
Alexandria Volkening, Björn Sandstede
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
Iridophores interact with other cells to give zebrafish their stripes, but what drives their form shifts is unknown. Here, modelling allows the authors to identify robust cues that may specify iridophore form and to find changes to these cues that li
Externí odkaz:
https://doaj.org/article/83bce5266a284f02817570788f2104bb
Autor:
Blake Shirman, Alexandria Volkening
Publikováno v:
Frontiers for Young Minds. 10
When you think of fish, what comes to mind? Maybe you think of pet goldfish, movie characters like Dory or Nemo, or trout in a local river. One of the things that all these fish have in common is patterns in their skin. Nemo sports black and white st
Autor:
Alexandria Volkening
Publikováno v:
Current Opinion in Genetics & Development. 63:78-85
Zebrafish are characterized by dark and light stripes, but mutants display a rich variety of altered patterns. These patterns arise from the interactions of brightly colored pigment cells, making zebrafish a self-organization problem. The diversity o
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance While pattern formation has been studied extensively using experiments and mathematical models, methods for quantifying self-organization are limited to manual inspection or global measures in many applications. Our work introduces a met
Publikováno v:
Bulletin of Mathematical Biology. 82
As zebrafish develop, black and gold stripes form across their skin due to the interactions of brightly colored pigment cells. These characteristic patterns emerge on the growing fish body, as well as on the anal and caudal fins. While wild-type stri
Autor:
Maria-Veronica Ciocanel, Björn Sandstede, Alexandria Volkening, Joshua Rubin Abrams, Kristina Mallory, Anne Schwartz
Publikováno v:
Royal Society Open Science, Vol 8, Iss 1 (2021)
Royal Society Open Science
Royal Society Open Science
Studying the spread of infections is an important tool in limiting or preventing future outbreaks. A first step in understanding disease dynamics is constructing networks that reproduce features of real-world interactions. In this paper, we generate