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A quantitative understanding of organism-level behaviour requires predictive models that can capture the richness of behavioural phenotypes, yet are simple enough to connect with underlying mechanistic processes. Here, we investigate the motile behaviour of nematodes at the level of their translational motion on surfaces driven by undulatory propulsion. We broadly sample the nematode behavioural repertoire by measuring motile trajectories of the canonical laboratory strain Caenorhabditis elegans N2 as well as wild strains and distant species. We focus on trajectory dynamics over time scales spanning the transition from ballistic (straight) to diffusive (random) movement and find that salient features of the motility statistics are captured by a random walk model with independent dynamics in the speed, bearing and reversal events. We show that the model parameters vary among species in a correlated, low-dimensional manner suggestive of a common mode of behavioural control and a trade-off between exploration and exploitation. The distribution of phenotypes along this primary mode of variation reveals that not only the mean but also the variance varies considerably across strains, suggesting that these nematode lineages employ contrasting 'bet-hedging' strategies for foraging.
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http://dx.doi.org/10.1098/rsif.2019.0174 | DOI Listing |
Phys Rev E
November 2024
Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg 195251, Russia and Institute for Problems in Mechanical Engineering RAS, Saint Petersburg 199178, Russia.
The transition from a ballistic to a diffusive regime of heat transfer is studied using two models. The first model is a one-dimensional chain with bonds, capable of dissociation. Interparticle forces in the chain are harmonic for bond deformations below a critical value, corresponding to the dissociation, and zero above this value.
View Article and Find Full Text PDFJ Chem Phys
September 2023
Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia.
Numerically "exact" methods addressing the dynamics of coupled electron-phonon systems have been intensively developed. Nevertheless, the corresponding results for the electron mobility μdc are scarce, even for the one-dimensional (1d) Holstein model. Building on our recent progress on single-particle properties, here we develop the momentum-space hierarchical equations of motion (HEOM) method to evaluate real-time two-particle correlation functions of the 1d Holstein model at a finite temperature.
View Article and Find Full Text PDFJ Acoust Soc Am
April 2023
Center for Wave Phenomena, Colorado School of Mines, Golden, Colorado 80401, USA.
We study the transition from ballistic to diffusive to equipartitioned waves in scattering media using the acoustic radiative transfer equation. To solve this equation, we first transform it into an integral equation for the specific intensity and then construct a time stepping algorithm with which we evolve the specific intensity numerically in time. We handle the advection of energy analytically at the computational grid points and use numerical interpolation to deal with advection terms that do not lie on the grid points.
View Article and Find Full Text PDFNanophotonics
February 2023
Center for Integrated Quantum Information Technologies (IQIT), School of Physics and Astronomy and State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China.
Phys Rev Lett
September 2021
International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.
Bacterial swarms display intriguing dynamical states like active turbulence. Now, using a hydrodynamic model, we show that such dense active suspensions manifest superdiffusion, via Lévy walks, which masquerades as a crossover from ballistic to diffusive scaling in measurements of mean-squared displacements, and is tied to the emergence of hitherto undetected oscillatory streaks in the flow. Thus, while laying the theoretical framework of an emergent advantageous strategy in the collective behavior of microorganisms, our Letter underlines the essential differences between active and inertial turbulence.
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