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Nanoparticles tethered with DNA strands are promising building blocks for bottom-up nanotechnology, and a theoretical understanding is important for future development. Here we build on approaches developed in polymer physics to provide…

Soft Condensed Matter · Physics 2014-11-03 Chia Wei Hsu , Francesco Sciortino , Francis W. Starr

Reply to a comment by T. Rakovszky, F. Pollmann, and C. W von Keyserlingk [arXiv:2010.07969].

Strongly Correlated Electrons · Physics 2021-06-16 Marko Znidaric

This letter presente a comment on the paper Prediction of Kidney Function from Biopsy Images using Convolutional Neural Networks by Ledbetter et al. (2017)

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Washington LC dos-Santos , Angelo A Duarte , Luiz AR de Freitas

The paper uses mesoscopic, non-linear lattice dynamics based (Peyrard-Bishop-Dauxois, PBD) modeling to describe thermal properties of DNA below and near the denaturation temperature. Computationally efficient notation is introduced for the…

Statistical Mechanics · Physics 2015-03-18 Nikos Theodorakopoulos

Comment on R. Planet, S. Santucci, J. Ortin, Phys. Rev. Lett. 102, 094502 (2009) about the rescaling of the data and the data collapse. Reply to be found here.

Statistical Mechanics · Physics 2015-05-19 Gunnar Pruessner

We comment on the paper published in PRL 112, 010403 (2014).

General Physics · Physics 2015-06-19 S C Tiwari

In previous work, we constructed a statistical framework for estimating the rate of clustered ionization from charged particle radiation in DNA. This model is extended to include contributions from secondary electrons. Using a simple…

Medical Physics · Physics 2023-11-17 Kay Kinoshita , Yusra Zabarmawi

Discussion of "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]

Methodology · Statistics 2010-10-06 Geert Molenberghs , Michael G. Kenward , Geert Verbeke

Discussion of "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]

Methodology · Statistics 2010-10-06 Thomas A. Louis

Comment on "Revision of Bubble Bursting: Universal Scaling Laws of Top Jet Drop Size and Speed"

Fluid Dynamics · Physics 2019-01-30 José Manuel Gordillo , Javier Rodríguez-Rodríguez

I comment on the experiment to realize an "on-demand," reversible single-photon source by Kuhn, Hennrich, and Rempe [Phys. Rev. Lett. 89, 067901 (2002)].

Quantum Physics · Physics 2009-11-07 H. J. Kimble

A Comment on the Letter by Granger et.al., Phys. Rev. Lett. 89, 135506 (2002).

Materials Science · Physics 2007-05-23 Z. C. Tu , Z. C. Ou-Yang

Reply to the Comment physics/0307134 by A. Helmstetter and D. Sornette

We respond to a Comment on our recent paper (Phys.Rev.C77:024304,2008) by Paar (arXiv:0803.0274).

Nuclear Theory · Physics 2008-11-26 C. Barbieri , E. Caurier , K. Langanke , G. Martínez-Pinedo

This is a Comment on Phys. Rev. Lett., {\bf 95}, 187404 (2005)

Materials Science · Physics 2009-11-13 Yujun Zheng

I would like to thank Junk and Lyons (arXiv:2009.06864) for beginning a discussion about replication in high-energy physics (HEP). Junk and Lyons ultimately argue that HEP learned its lessons the hard way through past failures and that…

Data Analysis, Statistics and Probability · Physics 2021-05-10 Andrew Fowlie

The occurrence of a bubble, due to an inversion of s$_{1/2}$ state with the state usually located above, is investigated. Proton bubbles in neutron-rich Argon isotopes are optimal candidates. Pairing effects which can play against the…

Nuclear Theory · Physics 2008-11-26 E. Khan , M. Grasso , J. Margueron , N. Van Giai

This is a Comment on the Article ``Aging, phase ordering and conformal invariance'' by M.Henkel, M.Pleimling, C.Godr\`eche and J.M.Luck [Phys.Rev.Lett. 87, 265701 (2001)].

Statistical Mechanics · Physics 2009-11-07 Federico Corberi , Eugenio Lippiello , Marco Zannetti

This paper is a comment to M Wilkinson, EPL 106 (2014) 40001, arXiv:1401.4620 [physics.ao-ph,cond-mat.soft], which draws conclusion from our data that are at variance with our observations.

Atmospheric and Oceanic Physics · Physics 2014-11-11 Martin Rohloff , Tobias Lapp , Jürgen Vollmer
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