Soft Statistical Mechanics for Biology

Bizzarri, Mariano; Giuliani, Alessandro

doi:10.1007/978-1-0716-2095-3_11

Cited by 2 publications

(2 citation statements)

References 44 publications

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“…In our case, the response function due to a weak time-dependent function can be obtained from equation (1) to yield…”

Section: α-Dependent Energy Dissipationmentioning

confidence: 99%

“…The study of the interaction between a probe particle and its surrounding medium has been an active avenue in research in the past. Understanding the physical mechanism between these interactions advances our understanding of equilibrium and nonequilibrium statistical mechanics of different systems [1][2][3][4]. As a prominent example, an active system exhibits non-equilibrium dynamics by harnessing energy from its environment [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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An active fractional Ornstein–Uhlenbeck particle: diffusion and dissipation

Rangaig

2024

J. Stat. Mech.

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In this work, we consider a particle subjected to active fluctuations due to the presence of an active bath. The active fluctuation driving the particle is modeled as an Ornstein–Uhlenbeck process with memory, due to the recent experimental result in that a bacterial bath under a chemotactic mechanism exhibits a large distribution of persistence time, which may result in long-range persistence of a probe particle that cannot be captured by the conventional Ornstein–Uhlenbeck model for active noise. As a paradigmatic model, we consider introducing a fractional Ornstein–Uhlenbeck process with a power-law kernel, which includes a fractional order variable 0 < α ⩽ 1 , to model an active noise acting on a particle. We present the relevant properties of the active noise and its implications for the diffusion of free and harmonically confined single particles. This is also supported by the derived active Smoluchowski description. More importantly, we find that the effect of α can either reduce or increase the effective temperature at long time, depending on the competition between the harmonic timescale and persistence time. Lastly, the effects of presented active noise on the spectral density of the energy dissipation rate and the dissipation energy from both the thermal and active bath are explored.

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“…In our case, the response function due to a weak time-dependent function can be obtained from equation (1) to yield…”

Section: α-Dependent Energy Dissipationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An active fractional Ornstein–Uhlenbeck particle: diffusion and dissipation

Rangaig

2024

J. Stat. Mech.

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Reimagining Cancer: Moving from the Cellular to the Tissue Level

Demicheli¹,

Hrushesky

2022

Cancer Research

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The current universally accepted explanation of cancer origin and behavior, the somatic mutation theory, is cell-centered and rooted in perturbation of gene function independent of the external environmental context. However, tumors consist of various epithelial and stromal cell populations temporally and spatially organized into an integrated neoplastic community, and they can have properties similar to normal tissues. Accordingly, we review specific normal cellular and tissue traits and behaviors with adaptive temporal and spatial self-organization that result in ordered patterns and structures. A few recent theories have described these tissue-level cancer behaviors, invoking a conceptual shift from the cellular level and highlighting the need for methodological approaches based on the analysis of complex systems. We propose extending the analytical approach of regulatory networks to the tissue level and introduce the concept of "cancer attractors." These concepts require re-evaluation of cancer imaging and investigational approaches and challenge the traditional reductionist approach of cancer molecular biology.

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Soft Statistical Mechanics for Biology

Cited by 2 publications

References 44 publications

An active fractional Ornstein–Uhlenbeck particle: diffusion and dissipation

An active fractional Ornstein–Uhlenbeck particle: diffusion and dissipation

Reimagining Cancer: Moving from the Cellular to the Tissue Level

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