16 papers · ranked by Valyu relevance
Josep Marín-Llaó, Sarah Mubeen, Alexandre Perera-Lluna, Martin Hofmann-Apitius + 3 more
Emergent properties of biological processes primarily arise from complex interactions linking physical entities which, in turn, can build up complex biological networks, such as metabolic, signaling and regulatory. The use of these networks has become commonplace for a variety of analytic tasks, yet integrated networks…
Shunsuke Teraguchi, Yutaro Kumagai
Background Time course measurement of single molecules on a cell surface provides detailed information about the dynamics of the molecules that would otherwise be inaccessible. To extract the quantitative information, single particle tracking (SPT) is typically performed. However, trajectories extracted by SPT…
Mohammad Azimi, Yousef Jamali, Mohammad R. K. Mofrad, Nic D. Leipzig
Diffusion plays a key role in many biochemical reaction systems seen in nature. Scenarios where diffusion behavior is critical can be seen in the cell and subcellular compartments where molecular crowding limits the interaction between particles. We investigate the application of a computational method for modeling the…
Sihai Guan, Qing Cheng, Yong Zhao, Bharat Biswal
To better perform distributed estimation, this paper, by combining the Fair cost function and adapt-then-combine scheme at all distributed network nodes, a novel diffusion adaptive estimation algorithm is proposed from an M-estimator perspective, which is called the diffusion Fair (DFair) adaptive filtering algorithm.…
Loris Ibarrart, Stéphane Blanco, Cyril Caliot, Jérémi Dauchet + 12 more
'Simon Eibner' 'Mouna El Hafi' 'Olivier Farges' 'Vincent Forest' 'Richard Fournier' 'Jacques Gautrais' 'Raj Konduru' 'Léa Penazzi' 'Jean-Marc Trégan' 'Thomas Vourc’h' 'Daniel Yaacoub' 'Asad Ullah'] We address the question of numerically simulating the coupling of diffusion, advection and one-speed linear transport…
Dirk Gillespie, Francesco Pappalardo
The numerical integration of the time-dependent spherically-symmetric radial diffusion equation from a point source is considered. The flux through the source can vary in time, possibly stochastically based on the concentration produced by the source itself. Fick’s one-dimensional diffusion equation is integrated over…
Yang Weng, Wendong Xiao, Lihua Xie
Distributed estimation of Gaussian mixtures has many applications in wireless sensor network (WSN), and its energy-efficient solution is still challenging. This paper presents a novel diffusion-based EM algorithm for this problem. A diffusion strategy is introduced for acquiring the global statistics in EM algorithm in…
Atiyo Ghosh, Tatiana T. Marquez-Lago, Francesco Pappalardo
Chemical reactions inside cells are generally considered to happen within fixed-size compartments. However, cells and their compartments are highly dynamic. Thus, such stringent geometrical assumptions may not reflect biophysical reality, and can highly bias conclusions from simulation studies. In this work, we present…
Lei Ma, Yu Gao, Tengyu Fu, Liang Cheng + 2 more
When estimating national PM2.5 concentrations, the results of traditional interpolation algorithms are unreliable due to a lack of monitoring sites and heterogeneous spatial distributions. PM2.5 spatial distribution is strongly correlated to elevation, and the information diffusion algorithm has been shown to be highly…
Matthias Vigelius, Bernd Meyer, Grant Lythe
For many biological applications, a macroscopic (deterministic) treatment of reaction-drift-diffusion systems is insufficient. Instead, one has to properly handle the stochastic nature of the problem and generate true sample paths of the underlying probability distribution. Unfortunately, stochastic algorithms are…
EVAN SCOPE CRAFTS, UMBERTO VILLA
In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems. However, it is unclear how to optimally integrate a diffusion model trained on the prior distribution with a given likelihood…
Kara Layne Johnson, Nicole Bohme Carnegie
Genetic algorithms mimic the process of natural selection in order to solve optimization problems with minimal assumptions and perform well when the objective function has local optima on the search space. These algorithms treat potential solutions to the optimization problem as chromosomes, consisting of genes which…
Rafał Brociek, Agata Wajda, Damian Słota, Bartłomiej Płaczek + 1 more
'Marcin Bernaś'] In recent times, fractional calculus has gained popularity in various types of engineering applications. Very often, the mathematical model describing a given phenomenon consists of a differential equation with a fractional derivative. As numerous studies present, the use of the fractional derivative…
Tao Guo
Prior studies have focused on the overall behavior of randomly moving particle swarms. However, the characteristics of the stochastic-constrained particles that form ubiquitously within these swarms remain oblivious. This study demonstrates a generalized diffusion equation for stochastic-constrained particles that…
Heping Wen, Yiting Lin, Shenghao Kang, Xiangyu Zhang + 1 more
Title: Summary Aiming at the problem of insufficient security of image encryption technology, a secure image encryption algorithm using chaos-based block permutation and weighted bit planes chain diffusion is proposed, which is based on a variant structure of classical permutation-diffusion. During the permutation…
Stephen Smith, Claudia Cianci, Ramon Grima
It is now well established that cell interiors are significantly crowded by macromolecules, which impede diffusion and enhance binding rates. However, it is not fully appreciated that levels of crowding are heterogeneous, and can vary substantially between subcellular regions. In this article, starting from a…