Zobrazeno 1 - 10
of 41 158
pro vyhledávání: '"BONNER BE"'
The surge of pelagic \emph{Sargassum} in the Intra-America Seas, particularly the Caribbean Sea, since the early 2010s has raised significant ecological concerns. This study emphasizes the need for a mechanistic understanding of \emph{Sargassum} dyna
Externí odkaz:
http://arxiv.org/abs/2410.01468
How does the human visual cortex encode sensory information? To address this question, we explore the covariance structure of neural representations. We perform a cross-decomposition analysis of fMRI responses to natural images in multiple individual
Externí odkaz:
http://arxiv.org/abs/2409.06843
Autor:
Cattaneo, Alberto, Bonner, Stephen, Martynec, Thomas, Luschi, Carlo, Barrett, Ian P, Justus, Daniel
Knowledge Graph Completion has been increasingly adopted as a useful method for several tasks in biomedical research, like drug repurposing or drug-target identification. To that end, a variety of datasets and Knowledge Graph Embedding models has bee
Externí odkaz:
http://arxiv.org/abs/2409.04103
Autor:
Chen, Zirui, Bonner, Michael F.
Do neural network models of vision learn brain-aligned representations because they share architectural constraints and task objectives with biological vision or because they learn universal features of natural image processing? We characterized the
Externí odkaz:
http://arxiv.org/abs/2408.12804
Maintaining a robust communication network plays an important role in the success of a multi-robot team jointly performing an optimization task. A key characteristic of a robust cooperative multi-robot system is the ability to repair the communicatio
Externí odkaz:
http://arxiv.org/abs/2404.03834
Autor:
Ba, Ismaïla, Turgeon, Maxime, Veniamin, Simona, Joel, Juan, Miller, Richard, Graham, Morag, Bonner, Christine, Bernstein, Charles N., Arnold, Douglas L., Bar-Or, Amit, Marrie, Ruth Ann, O'Mahony, Julia, Yeh, E. Ann, Banwell, Brenda, Waubant, Emmanuelle, Knox, Natalie, Van Domselaar, Gary, Mirza, Ali I., Armstrong, Heather, Muthukumarana, Saman, McGregor, Kevin
Dimension reduction techniques are among the most essential analytical tools in the analysis of high-dimensional data. Generalized principal component analysis (PCA) is an extension to standard PCA that has been widely used to identify low-dimensiona
Externí odkaz:
http://arxiv.org/abs/2404.03127
Autor:
Olascoaga, M. J., Beron-Vera, F. J., Beyea, R. T., Bonner, G., Castellucci, M., Goni, G. J., Guigand, C., Putman, N. F.
Publikováno v:
Physics of Fluids 35, 111702 (2023)
A recent Maxey--Riley theory for \sarg raft motion, which models a raft as a network of elastically interacting finite-size, buoyant particles, predicts the carrying flow velocity to be given by the weighted sum of the water and air velocities $(1-\a
Externí odkaz:
http://arxiv.org/abs/2311.08279
Autor:
Hongxing Shen, Oluwagbemiga A. Ojo, Haitao Ding, Logan J. Mullen, Chuan Xing, M. Iqbal Hossain, Abdelrahman Yassin, Vivian Y. Shi, Zach Lewis, Ewa Podgorska, Shaida A. Andrabi, Maciek R. Antoniewicz, James A. Bonner, Lewis Zhichang Shi
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Hypoxia is a common feature in various pathophysiological contexts, including tumor microenvironment, and IFN-γ is instrumental for anti-tumor immunity. HIF1α has long been known as a primary regulator of cellular adaptive responses to hyp
Externí odkaz:
https://doaj.org/article/17a66108966a4d25bc8186281738e71b
Autor:
Bonner, Gage
Let $\{U(n)\}_{n \geq 0}$ be a sequence of independent random variables such that $U(n)$ is distributed uniformly on $\{0, 1, 2 \dots n\}$. The Ulam-Kac adder is the history-dependent random sequence defined by $X_{n + 1} = X_{n} + X_{U(n)}$ with the
Externí odkaz:
http://arxiv.org/abs/2303.03606
Autor:
Sung Hee Choi, Jay Thomas Myers, Suzanne Louise Tomchuck, Melissa Bonner, Saada Eid, Daniel Tyler Kingsley, Kristen Ashley VanHeyst, Seong‐Jin Kim, Byung‐Gyu Kim, Alex Yee‐Chen Huang
Publikováno v:
Cancer Communications, Vol 44, Iss 8, Pp 884-888 (2024)
Externí odkaz:
https://doaj.org/article/c715f8ab333248fc8a982c36ebed7edb