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Related papers: Loops in canonical RNA pseudoknot structures

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The central limit theorem for Markov chains generated by iterated function systems consisting of orientation preserving homeomorphisms of the interval is proved. We study also ergodicity of such systems.

Dynamical Systems · Mathematics 2020-03-24 Klaudiusz Czudek , Tomasz Szarek

The hyperon-nucleon interaction is investigated through the final-state interaction in the $K^-d\to\pi^-\Lambda p$ reaction. We focus on the $\Lambda N$-$\Sigma N$ coupled-channel interaction, which produces characteristic structures around…

Nuclear Theory · Physics 2026-05-04 Shunsuke Yasunaga , Daisuke Jido

The ensemble of RNA secondary structures of uniform sequences is studied analytically. We calculate the partition function for very long sequences and discuss how the cross-over length, beyond which asymptotic scaling laws apply, depends on…

Biological Physics · Physics 2007-05-23 Tsunglin Liu , Ralf Bundschuh

Accurate knowledge of RNA hybridization is essential for understanding RNA structure and function. Here we mechanically unzip and rezip a 2-kbp RNA hairpin and derive the 10 nearest-neighbor base pair (NNBP) RNA free energies in sodium and…

Biomolecules · Quantitative Biology 2022-01-14 Paolo Rissone , Cristiano Valim Bizarro , Felix Ritort

Ropelength and embedding thickness are related measures of geometric complexity of classical knots and links in Euclidean space. In their recent work, Freedman and Krushkal posed a question regarding lower bounds for embedding thickness of…

Geometric Topology · Mathematics 2020-01-14 R. Komendarczyk , A. Michaelides

We investigate the emergence of spanning structures in sparse pseudo-random $k$-uniform hypergraphs, using the following comparatively weak notion of pseudo-randomness. A $k$-uniform hypergraph $H$ on $n$ vertices is called…

Combinatorics · Mathematics 2021-08-11 Hiep Hàn , Jie Han , Patrick Morris

We obtain, using transfer matrix methods, the distribution function $P(R)$ of the end-to-end distance, the loop formation probability and force-extension relations in a model for short double-stranded DNA molecules. Accounting for the…

Soft Condensed Matter · Physics 2009-11-10 P. Ranjith , P. B. Sunil Kumar , Gautam I. Menon

We continue the work of a series of previous studies of a mathematical model that describes the mean-field limit behavior of a homogeneous network of excitatory point spiking neurons. Contrary to other models, here noise is intrinsic to the…

Neurons and Cognition · Quantitative Biology 2017-07-20 Guillem Via

The virtual corrections to the production cross section of a Standard Model Higgs boson are computed up to order \alpha_s^4. Using an effective Lagrangian for the limit M_t -> \infty, we evaluate the relevant massless two-loop vertex…

High Energy Physics - Phenomenology · Physics 2009-10-31 Robert V. Harlander

The weights of a neural network are typically initialized at random, and one can think of the functions produced by such a network as having been generated by a prior over some function space. Studying random networks, then, is useful for a…

Machine Learning · Statistics 2018-11-28 Kevin K. Chen , Anthony C. Gamst , Alden K. Walker

In this paper, we study the restricted isometry property of partial random circulant matrices. For a bounded subgaussian generator with independent entries, we prove that the partial random circulant matrices satisfy $s$-order RIP with high…

Information Theory · Computer Science 2018-08-23 Meng Huang , Yuxuan Pang , Zhiqiang Xu

We continue our consideration of a class of models describing the reversible dynamics of $N$ Boolean variables, each with $K$ inputs. We investigate in detail the behavior of the Hamming distance as well as of the distribution of orbit…

Disordered Systems and Neural Networks · Physics 2016-08-31 S. N. Coppersmith , Leo P. Kadanoff , Zhitong Zhang

C-loops are loops satisfying the identity $x(y\cdot yz) = (xy\cdot y)z$. We develop the theory of extensions of C-loops, and characterize all nuclear extensions provided the nucleus is an abelian group. C-loops with central squares have…

Group Theory · Mathematics 2008-01-15 Michael K. Kinyon , J. D. Phillips , Petr Vojtěchovský

We investigate the limit behavior of supercritical multitype branching processes in random environments with linear fractional offspring distributions and show that there exists a phase transition in the behavior of local probabilites of…

Probability · Mathematics 2017-10-25 Wenming Hong , Minzhi Liu , Vladimir Vatutin

Canalization of genetic regulatory networks has been argued to be favored by evolutionary processes due to the stability that it can confer to phenotype expression. We explore whether a significant amount of canalization and partial…

Quantitative Methods · Quantitative Biology 2009-11-13 C. J. Olson Reichhardt , Kevin E. Bassler

We construct non-perturbative inputs for the elastic gluon-hadron scattering amplitudes in the forward kinematic region for both polarized and non-polarized hadrons. We use the optical theorem to relate invariant scattering amplitudes to…

High Energy Physics - Phenomenology · Physics 2015-12-25 B. I. Ermolaev , F. Olness , S. I. Troyan

The open problem of calculating the limiting spectrum (or its Shannon transform) of increasingly large random Hermitian finite-band matrices is described. In general, these matrices include a finite number of non-zero diagonals around their…

Information Theory · Computer Science 2008-05-13 Oren Somekh , Osvalso Simeone , Benjamin M. Zaidel , H. Vincent Poor , Shlomo Shamai

We describe the fluctuations of the overlap between two replicas in the 2-spin spherical SK model about its limiting value in the low temperature phase. We show that the fluctuations are of order $N^{-1/3}$ and are given by a simple,…

Probability · Mathematics 2019-05-10 Benjamin Landon , Philippe Sosoe

By exerting mechanical force it is possible to unfold/refold RNA molecules one at a time. In a small range of forces, an RNA molecule can hop between the folded and the unfolded state with force-dependent kinetic rates. Here, we introduce a…

Biological Physics · Physics 2012-08-27 M. Manosas , J. -D. Wen , P. T. X. Li , S. B. Smith , C. Bustamante , I. Tinoco, , F. Ritort

We consider two types of random networks grown in blocks. Hooking networks are grown from a set of graphs as blocks, each with a labelled vertex called a hook. At each step in the growth of the network, a vertex called a latch is chosen…

Probability · Mathematics 2022-10-10 Colin Desmarais , Cecilia Holmgren