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Electrogenerated gas nanobubbles strongly influence the performance of electrochemical energy-conversion systems, yet their nucleation and early evolution remain poorly understood due to limitations of existing experimental and…

软凝聚态物质 · 物理学 2026-01-19 Nima Shakourifar , Nana Ofori-Opoku , Benzhong Zhao

The event-triggered control problem over lossy communication networks is addressed in this paper. Although packet dropouts have been considered in the implementation of event-triggered controllers, the assumption of protocols that employ…

最优化与控制 · 数学 2020-07-31 Eloy Garcia , Panos J. Antsaklis

This paper investigates the distributed event-triggered control problem for a class of uncertain pure-feedback nonlinear multi-agent systems (MASs) with polluted feedback. Under the setting of event-triggered control, substantial challenges…

系统与控制 · 电气工程与系统科学 2023-02-28 Libei Sun , Zhirong Zhang , Xinjian Huang , Xiucai Huang

We typically think of cells as responding to external signals independently by regulating their gene expression levels, yet they often locally exchange information and coordinate. Can such spatial coupling be of benefit for conveying…

分子网络 · 定量生物学 2015-01-19 Thomas R. Sokolowski , Gašper Tkačik

The activity of biological cells is primarily based on chemical reactions and typically modeled as a reaction-diffusion system. Cells are, however, highly crowded with macromolecules, including a variety of molecular machines such as…

生物物理 · 物理学 2018-11-02 Yuichi Togashi

Spatial information from cell-surface receptors is crucial for processes that require signal processing and sensing of the environment. Here, we investigate the optimal placement of such receptors through a theoretical model that minimizes…

生物物理 · 物理学 2025-04-17 Albert Alonso , Robert G. Endres , Julius B. Kirkegaard

In many cellular signaling pathways, key components form clusters at the cell membrane. Although much work has focused on the mechanisms behind such cluster formation, the implications for downstream signaling remain poorly understood.…

分子网络 · 定量生物学 2012-03-14 Andrew Mugler , Aimee Gotway Bailey , Koichi Takahashi , Pieter Rein ten Wolde

We propose a new non-equilibrium model for spatial pattern formation on the basis of local information transfer. Unlike standard models of pattern formation it is not based on the Turing instability. Information is transmitted through the…

统计力学 · 物理学 2007-05-23 Thimo Rohlf , Stefan Bornholdt

In biological cells and novel diagnostic devices biochemical receptors need to be sensitive to extremely small concentration changes of signaling molecules. The accuracy of such molecular signaling is ultimately limited by the counting…

亚细胞过程 · 定量生物学 2023-04-06 Aljaz Godec , Ralf Metzler

Bistability is a major mechanism for cellular decision making and usually results from positive feedback in biochemical control systems. Here we show theoretically that bistability between unbound and bound states of adhesion clusters…

亚细胞过程 · 定量生物学 2010-02-24 T. Erdmann , U. S. Schwarz

We introduce and theoretically investigate a minimal particle-based model for a new class of active matter where particles exhibit directional, volume-conserving division in confinement while interacting sterically, mimicking cells in early…

软凝聚态物质 · 物理学 2024-10-01 Samantha R. Lish , Lukas Hupe , Ramin Golestanian , Philip Bittihn

Based on a non-equilibrium mechanism for spatial pattern formation we study how position information can be controlled by locally coupled discrete dynamical networks, similar to gene regulation networks of cells in a developing…

分子网络 · 定量生物学 2009-08-26 Thimo Rohlf , Stefan Bornholdt

Biomolecular condensates are small droplets forming spontaneously in biological cells via phase separation. They play a role in many cellular processes, but it is unclear how cells control them. Cellular regulation often relies on…

软凝聚态物质 · 物理学 2024-03-15 Jan Kirschbaum , David Zwicker

Gene expression via transcription-translation is the most fundamental reaction to sustain biological systems, and complex reactions such as this one occur in a small compartment of living cells. There is increasing evidence that t physical…

分子网络 · 定量生物学 2022-08-04 Yusuke T. Maeda

Recent research has shown that supervised learning can be an effective tool for designing optimal feedback controllers for high-dimensional nonlinear dynamic systems. But the behavior of these neural network (NN) controllers is still not…

最优化与控制 · 数学 2022-10-10 Tenavi Nakamura-Zimmerer , Qi Gong , Wei Kang

The proper functioning of multicellular organisms requires the robust establishment of precise proportions between distinct cell-types. This developmental differentiation process typically involves intracellular regulatory and stochastic…

细胞行为 · 定量生物学 2016-06-22 Benjamin Pfeuty , Kunihiko Kaneko

Biological learning achieves temporal credit assignment despite sparse and imprecise feedback, often relying on neuromodulatory signals acting over space and time. Here, we introduce a learning mechanism in which error information diffuses…

神经元与认知 · 定量生物学 2026-03-11 João Barretto-Bittar , Anna Levina , Emmanouil Giannakakis , Roxana Zeraati

We uncover a chain of nonlinear modal interactions in softly clamped nanostring resonators. The process involves the sequential coupling of five mechanical modes, during frequency sweeps, yielding a broad nonlinear response with nearly…

介观与纳米尺度物理 · 物理学 2026-02-10 Zichao Li , Minxing Xu , Richard A. Norte , Alejandro M. Aragón , Peter G. Steeneken , Farbod Alijani

Magnetization dynamics in the system of magnetic nanoclusters with randomly distributed properties are studied by means of computer simulations. The main attention is paid to the possibility of coherent magnetization reversal from a…

介观与纳米尺度物理 · 物理学 2015-06-12 P. V. Kharebov , V. K. Henner , V. I. Yukalov

Event-triggered and self-triggered control have recently been proposed as implementation strategies that considerably reduce the resources required for control. Although most of the work so far has focused on closing a single control loop,…

最优化与控制 · 数学 2011-09-05 Romain Postoyan , Paulo Tabuada , Dragan Nesic , Adolfo Anta