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Reply to Comment on 'Length Scale Dependence of DNA Mechanical Properties'

Biomolecules · Quantitative Biology 2013-10-15 Agnes Noy , Ramin Golestanian

I review recent progress in our understanding of the basis of statistical models for hadronic reactions and of the mechanisms of thermalization in nonabelian gauge theories. (Invited talk given at the NATO Advanced Research Workshop on Hot…

High Energy Physics - Phenomenology · Physics 2009-09-25 Berndt Mueller

We study the statistical mechanics of the one-dimensional discrete nonlinear Schr\"odinger (DNLS) equation with saturable nonlinearity. Our study represents an extension of earlier work [Phys. Rev. Lett. {\bf 84}, 3740 (2000)] regarding the…

Pattern Formation and Solitons · Physics 2013-04-23 Mogens R. Samuelsen , Avinash Khare , Avadh Saxena , Kim Ø. Rasmussen

A method for correcting smearing effects using machine learning technique is presented. Compared to the standard deconvolution approaches in high energy particle physics, the method can use more than one reconstructed variable to predict…

Data Analysis, Statistics and Probability · Physics 2020-01-30 Bora Işıldak , Alper Hayreter , Aidan R. Wiederhold

Estimation of division and death rates of lymphocytes in different conditions is vital for quantitative understanding of the immune system. Deuterium, in the form of deuterated glucose or heavy water, can be used to measure rates of…

Populations and Evolution · Quantitative Biology 2015-05-13 Vitaly V. Ganusov , Jose Borghans , Rob De Boer

On an example of the open nonlinear electrodynamic system - transverse non-homogeneous, isotropic, nonlinear (a Kerr-like dielectric nonlinearity) dielectric layer, the algorithms of solution of the diffraction problem of a plane wave on…

Computational Physics · Physics 2007-05-23 V. V. Yatsyk

The dynamics and thermodynamics of dislocated crystals are studied within the framework of the nonlinear theory of elastic and plastic deformations.

Materials Science · Physics 2007-05-23 Ruslan Sharipov

Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process of identifying gene/protein interactions from experimental…

Machine Learning · Computer Science 2017-03-10 Stefano Beretta , Mauro Castelli , Ivo Goncalves , Ivan Merelli , Daniele Ramazzotti

This talk is a natural continuation of that given by V.Vereshagin at this conference. We discuss some details not covered in that talk and review the calculational technique using the (\pi N)-elastic scattering as an example. Finally, we…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. Vereshagin

This paper deals with the formulation and numerical implementation of a fully coupled continuum model for deformation-diffusion in linearized elastic solids. The mathematical model takes into account the effect of the deformation on the…

Numerical Analysis · Computer Science 2018-06-07 M. K. Mudunuru , K. B. Nakshatrala

Nonlinear statistics (i.e. statistics of permanents) on the eigenvalues of invariant random matrix models are considered for the three Dyson's symmetry classes $\beta=1,2,4$. General formulas in terms of hyperdeterminants are found for…

Mathematical Physics · Physics 2015-05-14 Jean-Gabriel Luque , Pierpaolo Vivo

This paper is devoted to the problem of statistical mechanics raised by the analysis of an issue of sociological interest: the teen birth phenomenon. It is expected that these data are characterized by correlated fluctuations, reflecting…

Data Analysis, Statistics and Probability · Physics 2009-11-10 M. Ignaccolo , P. Allegrini , P. Grigolini , P. Hamilton , B. J. West

Bilinear models that decompose dynamic data to spatial and temporal factors are powerful and memory-efficient tools for the recovery of dynamic MRI data. These methods rely on sparsity and energy compaction priors on the factors to…

Image and Video Processing · Electrical Eng. & Systems 2021-07-01 Abdul Haseeb Ahmed , Prashant Nagpal , Mathews Jacob

We adapt the work of Power to describe general, not-necessarily composable, not-necessarily commutative 2-categorical pasting diagrams and their composable and commutative parts. We provide a deformation theory for pasting diagrams valued…

Category Theory · Mathematics 2009-02-20 D. N. Yetter

Problem with the figures should be corrected. Apparently a broken uuencoder was the cause.

General Relativity and Quantum Cosmology · Physics 2009-10-22 Carsten Gundlach , Richard Price adn Jorge Pullin

Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]

Methodology · Statistics 2008-12-18 Anastasios A. Tsiatis , Marie Davidian

Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]

Methodology · Statistics 2008-12-18 Greg Ridgeway , Daniel F. McCaffrey

We provide a theoretical justification for sample recovery using diffusion based image inpainting in a linear model setting. While most inpainting algorithms require retraining with each new mask, we prove that diffusion based inpainting…

Machine Learning · Statistics 2023-02-03 Litu Rout , Advait Parulekar , Constantine Caramanis , Sanjay Shakkottai

We review models of biological evolution in which the population frequency changes deterministically with time. If the population is self-replicating, although the equations for simple prototypes can be linearised, nonlinear equations arise…

Populations and Evolution · Quantitative Biology 2015-05-27 Kavita Jain , Sarada Seetharaman

Nonlinear bending phenomena of thin elastic structures arise in various modern and classical applications. Characterizing low energy states of elastic rods has been investigated by Bernoulli in 1738 and related models are used to determine…

Numerical Analysis · Mathematics 2024-12-20 Sören Bartels