Zobrazeno 1 - 10
of 7 984
pro vyhledávání: '"Wylie, P"'
Autor:
Murphy, Ian, Bobilev, Keren, Hayakawa, Daichi, Ikonen, Eden, Videbæk, Thomas E., Dalal, Shibani, Ahmed, Wylie W., Ross, Jennifer L., Rogers, W. Benjamin
Attaching enzymes to nanostructures has proven useful to the study of enzyme functionality under controlled conditions and has led to new technologies. Often, the utility and interest of enzyme-tethered nanostructures lie in how the enzymatic activit
Externí odkaz:
http://arxiv.org/abs/2409.03040
Autor:
Gomez, Tim, Grizzell, Elise, Haun, Asher, Knobel, Ryan, Peters, Tom, Schweller, Robert, Wylie, Tim
The Tile Automata (TA) model describes self-assembly systems in which monomers can build structures and transition with an adjacent monomer to change their states. This paper shows that seeded TA is a non-committal intrinsically universal model of se
Externí odkaz:
http://arxiv.org/abs/2407.11545
In the fabrication of optical fibres, the viscosity of the glass varies dramatically with temperature so that heat transfer plays an important role in the deformation of the fibre geometry. Surprisingly, for quasi-steady drawing, with measurement of
Externí odkaz:
http://arxiv.org/abs/2406.12170
In this paper we expand on the work of the first author on ambient obstruction solitons, which are self-similar solutions to the ambient obstruction flow. Our main result is to show that any closed ambient obstruction soliton is ambient obstruction f
Externí odkaz:
http://arxiv.org/abs/2405.15870
Autor:
Anderson, Rachel, Fu, Bin, Massie, Aiden, Mukhopadhyay, Gourab, Salinas, Adrian, Schweller, Robert, Tomai, Evan, Wylie, Tim
Step Chemical Reaction Networks (step CRNs) are an augmentation of the Chemical Reaction Network (CRN) model where additional species may be introduced to the system in a sequence of ``steps.'' We study step CRN systems using a weak subset of reactio
Externí odkaz:
http://arxiv.org/abs/2405.00940
In this paper, we seek to provide a simpler proof that the relocation problem in Ricochet Robots (Lunar Lockout with fixed geometry) is PSPACE-complete via a reduction from Finite Function Generation (FFG). Although this result was originally proven
Externí odkaz:
http://arxiv.org/abs/2402.11440
Autor:
Anderson, Rachel, Avila, Alberto, Fu, Bin, Gomez, Timothy, Grizzell, Elise, Massie, Aiden, Mukhopadhyay, Gourab, Salinas, Adrian, Schweller, Robert, Tomai, Evan, Wylie, Tim
We introduce a new model of \emph{step} Chemical Reaction Networks (step CRNs), motivated by the step-wise addition of materials in standard lab procedures. Step CRNs have ordered reactants that transform into products via reaction rules over a serie
Externí odkaz:
http://arxiv.org/abs/2402.08220
Autor:
Charity, R. J., Wylie, J., Wang, S. M., Webb, T. B., Brown, K. W., Cerizza, G., Chajecki, Z., Elson, J. M., Estee, J., Hoff, D. E. M, Kuvin, S. A., Lynch, W. G., Manfredi, J., Michel, N., McNeel, D. G., Morfouace, P., Nazarewicz, W., Pruitt, C. D., Santamaria, C., Sweany, S., Smith, J., Sobotka, L. G., Tsang, M. B., Wuosmaa, A. H.
The boundaries of the Chart of Nuclides contain exotic isotopes that possess extreme proton-toneutron asymmetries. Here we report on strong evidence of 9N, one of the most exotic proton-rich isotopes where more than one half of its constitute nucleon
Externí odkaz:
http://arxiv.org/abs/2309.15180
Autor:
Eilertsen, Justin, Stroberg, Wylie
Eigenvalue disparity, also known as timescale separation, permits the systematic reduction of deterministic models of enzyme kinetics. Geometric singular perturbation theory, of which eigenvalue disparity is central, provides a coordinate-free framew
Externí odkaz:
http://arxiv.org/abs/2305.13348
Autor:
Yiming Shi, Lili Liu, Jun Chen, Kristine M. Wylie, Todd N. Wylie, Molly J. Stout, Chan Wang, Haixiang Zhang, Ya-Chen T. Shih, Xiaoyi Xu, Ai Zhang, Sung Hee Park, Hongmei Jiang, Lei Liu
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
The complex nature of microbiome data has made the differential abundance analysis challenging. Microbiome abundance counts are often skewed to the right and heteroscedastic (also known as overdispersion), potentially leading to incorrect inferences
Externí odkaz:
https://doaj.org/article/f9510e9dbaac45348e81969a59661a35