Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Laura P. Schaposnik"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract A dramatic increase in the number of outbreaks of dengue has recently been reported, and climate change is likely to extend the geographical spread of the disease. In this context, this paper shows how a neural network approach can incorpora
Externí odkaz:
https://doaj.org/article/207cb8299c5f45e392cc2848c5dfcb9a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract This paper presents a novel biologically-inspired explore-and-fuse approach to solving a large array of problems. The inspiration comes from Physarum, a unicellular slime mold capable of solving the traveling salesman and Steiner tree proble
Externí odkaz:
https://doaj.org/article/c36161d28fd74c14985e468b6d0dd4a2
Autor:
Varun Mittal, Laura P. Schaposnik
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e16286- (2023)
Through the reinterpretation of housing data as candlesticks, we extend Nature Scientific Reports article by Liang and Unwin [LU22] on stock market indicators for COVID-19 data, and utilize some of the most prominent technical indicators from the sto
Externí odkaz:
https://doaj.org/article/2a990682870c40028deae2b106e9f0bf
Autor:
Vishaal Ram, Laura P. Schaposnik
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate,
Externí odkaz:
https://doaj.org/article/182c0f148a524152b9cc284eeba5add0
Autor:
Laura P. Schaposnik, Anlin Zhang
Publikováno v:
Letters in Biomathematics, Vol 5, Iss 1, Pp 49-69 (2018)
Since social interactions have been shown to lead to symmetric clusters, we propose here that symmetries play a key role in epidemic modelling. Mathematical models on d-ary tree graphs were recently shown to be particularly effective for modelling ep
Externí odkaz:
https://doaj.org/article/38eef816836c44b3966e8b11ed9ebda9
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 10, Pp 1-56 (2017)
Abstract Singular limits of 6D F-theory compactifications are often captured by T-branes, namely a non-abelian configuration of intersecting 7-branes with a nilpotent matrix of normal deformations. The long distance approximation of such 7-branes is
Externí odkaz:
https://doaj.org/article/e0999284886445b48e137be6e35c08be
Autor:
Vishaal Ram, Laura P. Schaposnik, Nikos Konstantinou, Eliz Volkan, Marietta Papadatou-Pastou, Banu Manav, Domicele Jonauskaite, Christine Mohr
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 033350 (2020)
By means of an experimental dataset, we use deep learning to implement an RGB (red, green, and blue) extrapolation of emotions associated to color, and do a mathematical study of the results obtained through this neural network. In particular, we see
Externí odkaz:
https://doaj.org/article/5394a3a122c547f3ade0e043019eab63
Autor:
Yuyuan Luo, Laura P. Schaposnik
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023001 (2020)
This paper is dedicated to the study of the interaction between dynamical systems and percolation models, with views toward the study of viral infections whose virus mutate with time. Recall that r-bootstrap percolation describes a deterministic proc
Externí odkaz:
https://doaj.org/article/a19be4c411324236a8ada2469c0b4cf8
Publikováno v:
Annals of Global Analysis and Geometry. 60:539-557
Since their introduction by Beilinson–Drinfeld (Opers, 1993. arXiv math/0501398; Quantization of Hitchin’s integrable system and Hecke eigensheaves, 1991), opers have seen several generalizations. In Biswas et al. (SIGMA Symmetry Integr Geom Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab97eb344b6431ff3c820202e5a0e068
https://doi.org/10.1007/s10455-021-09783-4
https://doi.org/10.1007/s10455-021-09783-4
Autor:
Sheryl Hsu, Laura P. Schaposnik
Publikováno v:
J R Soc Interface
Physarum Polycephalum is a unicellular slime mold that has been intensely studied due to its ability to solve mazes, find shortest paths, generate Steiner trees, share knowledge, remember past events, and its applications to unconventional computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ff12d02811d1f8c283e356670a32c0e
https://doi.org/10.1098/rsif.2022.0054
https://doi.org/10.1098/rsif.2022.0054