Results 61 to 70 of about 561,925 (299)

Pseudorandom number generation based on controllable cellular automata

open access: yes, 2004
A novel Cellular Automata (CA) Controllable CA (CCA) is proposed in this paper. Further, CCA are applied in Pseudorandom Number Generation. Randomness test results on CCA Pseudorandom Number Generators (PRNGs) show that they are better than 1-d CA PRNGs
Zhang, S.   +3 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

On Random Number Generation for Kernel Applications

open access: yesFundamenta Informaticae, 2022
An operating system kernel uses cryptographically secure pseudorandom number generator for creating address space localization randomization offsets to protect memory addresses to processes from exploration, storing users' password securely and creating cryptographic keys.
Kunal Abhishek   +1 more
openaire   +3 more sources

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

On the Construction of Random Number Generators and Random Function Generators [PDF]

open access: yes, 1988
Blum, Micali (1982), Yao (1982), Goldreich, Goldwasser and Micali (1984), and Luby, Rackoff (1986) have constructed random number generators, random function generators and random permutation generators that are perfect if certain complexity assumptions hold.
openaire   +1 more source

On the design of state-of-the-art pseudorandom number generators by means of genetic programming [PDF]

open access: yes, 2004
Congress on Evolutionary Computation. Portland, EEUU, 19-23 June 2004The design of pseudorandom number generators by means of evolutionary computation is a classical problem. Today, it has been mostly and better accomplished by means of cellular automata
Seznec, André   +3 more
core   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks

open access: yesAlgorithms, 2020
A Pseudo-Random Number Generator (PRNG) is any algorithm generating a sequence of numbers approximating properties of random numbers. These numbers are widely employed in mid-level cryptography and in software applications.
Luca Pasqualini, Maurizio Parton
doaj   +1 more source

Binarizations in random number generation

open access: yes2016 IEEE International Symposium on Information Theory (ISIT), 2016
Extracting procedures produce unbiased random bits from biased coin flips. Binarizations take inputs from an m-faced dice and produce bit sequences to be fed into a (binary) extracting procedure to obtain random bits, and this can be done in an entropy-preserving manner, without loss of information. Such a procedure has been proposed by Zhou and Bruck [
openaire   +2 more sources

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