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The problem of the phonon bottleneck in the relaxation of two-level systems (spins) to a narrow group of resonant phonons via emission-absorption processes is investigated from the first principles. It is shown that the kinetic approach…

Statistical Mechanics · Physics 2008-05-06 D. A. Garanin

Molecular electronic devices currently serve as a platform for studying a variety of physical phenomena only accessible at the nanometer scale. One such phenomenon is the highly correlated electronic state responsible for the Kondo effect,…

Mesoscale and Nanoscale Physics · Physics 2015-03-13 Gavin D. Scott , Douglas Natelson

The transduction process that occurs in the inner ear of the auditory system is a complex mechanism which requires a non-linear dynamical description. In addition to this, the stochastic phenomena that naturally arise in the inner ear…

Physics Education · Physics 2022-01-17 Francesco Veronesi , Edoardo Milotti

We develop a formalism to describe the discrete-time dynamics of systems containing an arbitrary number of interacting species. The individual-based model, which forms our starting point, is described by a Markov chain, which in the limit…

Statistical Mechanics · Physics 2014-10-06 César Parra-Rojas , Joseph D. Challenger , Duccio Fanelli , Alan J. McKane

We describe a mechanism for pronounced biochemical oscillations, relevant to microscopic systems, such as the intracellular environment. This mechanism operates for reaction schemes which, when modeled using deterministic rate equations,…

Cell Behavior · Quantitative Biology 2009-11-13 A. J. McKane , J. D. Nagy , T. J. Newman , M. O. Stefanini

We present a new method for parameter identification of ODE system descriptions based on data measurements. Our method works by splitting the system into a number of subsystems and working on each of them separately, thereby being easily…

Computational Engineering, Finance, and Science · Computer Science 2012-08-21 Anastasis Georgoulas , Allan Clark , Andrea Ocone , Stephen Gilmore , Guido Sanguinetti

Monitoring respiration parameters such as respiratory rate could be beneficial to understand the impact of training on equine health and performance and ultimately improve equine welfare. In this work, we compare deep learning-based methods…

Signal Processing · Electrical Eng. & Systems 2025-08-05 Jeanne I. M. Parmentier , Rhana M. Aarts , Elin Hernlund , Marie Rhodin , Berend Jan van der Zwaag

Hundreds of applications utilize frequency response characterization of a system. Identification of frequency response requires long experimentation time, use of transformation techniques and other difficulties associated with isolating the…

Systems and Control · Electrical Eng. & Systems 2021-03-22 Resmi Suresh , Raghunathan Rengaswamy

Measurement in biological systems became a subject of concern as a consequence of numerous reports on limited reproducibility of experimental results. To reveal origins of this inconsistency, we have examined general features of biological…

Other Quantitative Biology · Quantitative Biology 2017-04-03 Dalibor Štys , Jan Urban , Renata Rychtáriková , Anna Zhyrova , Petr Císař

Fano mechanism is the universal explanation of asymmetric resonance appearing in different systems. We report the evidence of Fano-like resonance in selective reflection from a resonant two-level medium. We draw an analogy with the…

Optics · Physics 2016-04-13 Denis V. Novitsky

Ocean dynamics play a crucial role in global climate, ecosystems, and human activities, necessitating accurate and efficient methods to characterize ocean currents and waves. This paper presents the development of a novel bio-inspired…

Fluid Dynamics · Physics 2024-09-23 Brendan M. Unikewicz

Based on a modified Anderson-Weiss approximation (N. Fatkullin, A. Gubaidullin, C. Mattea, S.Stapf, J. Chem. Phys. 137 (2012), 224907) an improved theory of proton spin solid echo in polymer melts is formulated, taking into account…

Chemical Physics · Physics 2015-08-27 N. Fatkullin , A. Lozovoi , C. Mattea , S. Stapf

Behavior analysis of animals involves the observation of intraspecific and interspecific interactions among various organisms in the environment. Collective behavior such as herding in farm animals, flocking of birds, and shoaling and…

Computer Vision and Pattern Recognition · Computer Science 2020-06-30 Riza Rae Pineda , Kristofer delas Peñas , Dana Manogan

A fundamental question in complex systems is how to relate interactions between individual components ("microscopic description") to the global properties of the system ("macroscopic description"). Another fundamental question is whether…

Quantitative Methods · Quantitative Biology 2023-08-08 Dan Gorbonos , Felix Oberhauser , Luke L. Costello , Yannick Günzel , Einat Couzin-Fuchs , Benjamin Koger , Iain D. Couzin

We introduce a novel approach to studying animal behaviour and the context in which it occurs, through the use of microphone backpacks carried on the backs of individual free-flying birds. These sensors are increasingly used by animal…

Sound · Computer Science 2016-12-19 Dan Stowell , Emmanouil Benetos , Lisa F. Gill

We examine the question of whether it is possible for a diagonalizing system, to learn to use environmental reward and punishment as an information, in order to appropriately adapt. More specifically, we study the possiblity of such a…

Machine Learning · Computer Science 2020-07-10 Alexandros Arvanitakis

Deep phenotyping study has become an emerging field to understand the gene function and the structure of biological networks. For the living animal C. elegans, recent advances in genome-editing tools, microfluidic devices and phenotypic…

Quantitative Methods · Quantitative Biology 2019-05-08 Nan Xu

Rhythmic and sequential segmentation of the embryonic body plan is a vital developmental patterning process in all vertebrate species. However, a theoretical framework capturing the emergence of dynamic patterns of gene expression from the…

Biological Physics · Physics 2016-10-12 David J. Jörg , Andrew C. Oates , Frank Jülicher

A hidden Markov process is a well known concept in information theory and is used for a vast range of applications such as speech recognition and error correction. We bridge between two disciplines, experimental physics and advanced…

Mesoscale and Nanoscale Physics · Physics 2015-06-24 Ido Kanter , Aviad Frydman , Asaf Ater

We present an interpretation of Deepcode, a learned feedback code that showcases higher-order error correction relative to an earlier interpretable model. By interpretation, we mean succinct analytical encoder and decoder expressions…

Information Theory · Computer Science 2024-08-23 Yingyao Zhou , Natasha Devroye , Gyorgy Turan , Milos Zefran
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