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Pseudo-Random Number Generator Based on Logistic Chaotic System Open
In recent years, a chaotic system is considered as an important pseudo-random source to pseudo-random number generators (PRNGs). This paper proposes a PRNG based on a modified logistic chaotic system. This chaotic system with fixed system …
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Encoding of Predictable and Unpredictable Stimuli by Inferior Temporal Cortical Neurons Open
Animals and humans learn statistical regularities that are embedded in sequences of stimuli. The neural mechanisms of such statistical learning are still poorly understood. Previous work in macaque inferior temporal (IT) cortex demonstrate…
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A light weight secure image encryption scheme based on chaos & DNA computing Open
This paper proposed a new light weight secure cryptographic scheme for secure image communication. In this scheme the plain image is permuted first using a sequence of pseudo random number (PRN) and encrypted by DeoxyriboNucleic Acid (DNA)…
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The origin of Vierordt's law: The experimental protocol matters Open
In 1868, Karl Vierordt discovered one type of errors in time perception—an overestimation of short duration and underestimation of long durations, known as Vierordt's law. Here we reviewed the original study in its historical context and a…
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Structured sequences emerge from random pool when replicated by templated ligation Open
Significance The structure of life emerged from randomness. This is attributed to selection by molecular Darwinian evolution. This study found that random templated ligation led to the simultaneous elongation and sequence selection of olig…
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Prediction of Protein Hotspots from Whole Protein Sequences by a Random Projection Ensemble System Open
Hotspot residues are important in the determination of protein-protein interactions, and they always perform specific functions in biological processes. The determination of hotspot residues is by the commonly-used method of alanine scanni…
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True random coded photon counting Lidar Open
A true random coded photon counting Lidar system is proposed in this paper, in which a single photon detector acts as the true random sequence signal generator instead of the traditional function generator. Compared with the traditional ps…
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Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences Open
The emergence of catalytic RNA is believed to have been a key event during the origin of life. Understanding how catalytic activity is distributed across random sequences is fundamental to estimating the probability that catalytic sequence…
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Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences Open
The emergence of catalytic RNA is believed to have been a key event during the origin of life. Understanding how catalytic activity is distributed across random sequences is fundamental to estimating the probability that catalytic sequence…
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Neural basis of implicit motor sequence learning: Modulation of cortical power Open
Implicit sequence learning describes the acquisition of serially ordered movements and sequentially structured cognitive information, that occurs without awareness. Theta, alpha and beta cortical oscillations are present during implicit mo…
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Variational Attention for Sequence-to-Sequence Models Open
The variational encoder-decoder (VED) encodes source information as a set of random variables using a neural network, which in turn is decoded into target data using another neural network. In natural language processing, sequence-to-seque…
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Uniform generation of random graphs with power-law degree sequences Open
We give a linear-time algorithm that approximately uniformly generates a random simple graph with a power-law degree sequence whose exponent is at least 2.8811. While sampling graphs with power-law degree sequence of exponent at least 3 is…
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Computer simulations of Template-Directed RNA Synthesis driven by temperature cycling in diverse sequence mixtures Open
We present simulations of non-enzymatic template-directed RNA synthesis that incorporate primer extension, ligation, melting, and reannealing. Strand growth occurs over multiple heating/cooling cycles, producing strands of several hundred …
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Fixed points and cycle structure of random permutations Open
Using the recently developed notion of permutation limits this paper derives the limiting distribution of the number of fixed points and cycle structure for any convergent sequence of random permutations, under mild regularity conditions. …
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Self-Adaptive Image Encryption Algorithm Based on Quantum Logistic Map Open
This study proposes a self-adaptive image encryption algorithm based on the quantum logistic map. First, the initial values are substituted into the quantum logistic map based on an iteration process to generate three random sequences. Aft…
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Combined Pseudo-Random Sequence Generator for Cybersecurity Open
Random and pseudo-random number and bit sequence generators with a uniform distribution law are the most widespread and in demand in the market of pseudo-random generators. Depending on the specific field of application, the requirements f…
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Memristive Structure-Based Chaotic System for PRNG Open
This paper suggests an approach to generate pseudo-random sequences based on the discrete-time model of the simple memristive chaotic system. We show that implementing Euler’s and Runge–Kutta’s methods for the simulation solutions gives th…
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Distributed wide field electromagnetic method based on high-order 2 sequence pseudo random signal Open
To make three-dimensional electromagnetic exploration achievable, the distributed wide field electro- magnetic method (WFEM) based on the high-order 2n sequence pseudo-random signal is proposed and realized. In this method, only one set of…
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The Effects of Sequence Length and Composition of Random Sequence Peptides on the Growth of E. coli Cells Open
We study the potential for the de novo evolution of genes from random nucleotide sequences using libraries of E. coli expressing random sequence peptides. We assess the effects of such peptides on cell growth by monitoring frequency change…
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Design and Test of an Integrated Random Number Generator with All-Digital Entropy Source Open
In the cybersecurity field, the generation of random numbers is extremely important because they are employed in different applications such as the generation/derivation of cryptographic keys, nonces, and initialization vectors. The more u…
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Improving the Statistical Qualities of Pseudo Random Number Generators Open
Pseudo random and true random sequence generators are important components in many scientific and technical fields, playing a fundamental role in the application of the Monte Carlo methods and stochastic simulation. Unfortunately, the qual…
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Compound Poisson approximation for random fields with application to sequence alignment Open
The article presents the theory of stationary regularly varying random fields. In this context, we prove a new compound Poisson approximation theorem under appropriate dependence conditions, and demonstrate a couple of effective methods fo…
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Striking universalities in stochastic resetting processes Open
Given a random process which undergoes stochastic resetting at a constant rate r to a position drawn from a distribution , we consider a sequence of dynamical observables associated to the intervals between resetting events. We calculate e…
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A Generic Model of the Pseudo-Random Generator Based on Permutations Suitable for Security Solutions in Computationally-Constrained Environments Open
Symmetric cryptography methods have an important role in security solutions design in data protection. In that context, symmetric cryptography algorithms and pseudo-random generators connected with them have strong influence on designed se…
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Dynamical Pseudo-Random Number Generator Using Reinforcement Learning Open
Pseudo-random number generators (PRNGs) are based on the algorithm that generates a sequence of numbers arranged randomly. Recently, random numbers have been generated through a reinforcement learning mechanism. This method generates rando…
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Neural Mechanisms of the Contextual Interference Effect and Parameter Similarity on Motor Learning in Older Adults: An EEG Study Open
The purpose of this study was to investigate the neural mechanisms of the contextual interference effect (CIE) and parameter similarity on motor learning in older adults. Sixty older adults (mean age, 67.68 ± 3.95 years) were randomly assi…
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Effects of satisfying and violating expectations on serial dependence Open
Serial dependence refers to the phenomenon that observers tend to report stimuli as being more similar to previous stimuli than they really are (attractive dependence) or, in some cases, as more different than they really are (repulsive de…
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Randomness in Sequence Evolution Increases over Time Open
The second law of thermodynamics states that entropy, as a measure of randomness in a system, increases over time. Although studies have investigated biological sequence randomness from different aspects, it remains unknown whether sequenc…
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Working with cryptographic key information Open
It is important to create a cryptographic system such that the encryption system does not depend on the secret storage of the algorithm that is part of it, but only on the private key that is kept secret. In practice, key management is a s…
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Randomly stopped sums with consistently varying distributions Open
Let $\{\xi _{1},\xi _{2},\dots \}$ be a sequence of independent random variables, and η be a counting random variable independent of this sequence. We consider conditions for $\{\xi _{1},\xi _{2},\dots \}$ and η under which the distributio…