Results 101 to 110 of about 561,925 (299)
SOURCES OF RANDOMNESS FOR USE IN RANDOM NUMBER GENERATION
International Journal of Computing, 2014 Efficient generation of random numbers plays significant role in cryptographic applications. Such a generator has to produce unpredictable and un-correlated random bits. Random number generators are classified as pseudo-random number generators (PRNGs) and true random number generators (TRNGs).
Anastasios Fragopoulos +1 more
openaire +2 more sources
, 2003 Cellular Automata (CA) has been used in pseudorandom number generation over a decade. Recent studies show that two-dimensional (2-d) CA Pseudorandom Number Generators (PRNGs) may generate better random sequences than conventional one-dimensional (1-d) CA
Guan, SU, Zhang, S
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Molecular Oncology, EarlyView.Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata +10 more
wiley +1 more source
Random Walks Arising in Random Number Generation
The Annals of Probability, 1987 Random number generators often work by recursively computing \(X_{n+1}\equiv aX_ n+b(mod p)\). Various schemes exist for combining these random number generators. In one scheme, a and b are themselves chosen each time from another generator. Assuming that this second source is truly random, we investigate how long it takes for \(X_ n\) to become random.
Chung, F. R. K. +2 more
openaire +3 more sources
A Simple Gamma Random Number Generator for Arbitrary Shape Parameters [PDF]
This paper proposes an improved gamma random generator. In the past, a lot of gamma random number generators have been proposed, and depending on a shape parameter (say, alpha) they are roughly classified into two cases: (i) alpha lies on the interval (0,
Hisashi Tanizaki
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
A Bias-Free Quantum Random Number Generation Using Photon Arrival Time Selectively
IEEE Photonics Journal, 2015 We present a high-quality bias-free quantum random number generator (QRNG) using photon arrival time selectively, in accordance with the number of photon detection events within a sampling time interval in attenuated light.
Jian-min Wang +5 more
doaj +1 more source
Pseudorandom number generation with self programmable cellular automata
, 2004 In this paper, we propose a new class of cellular automata – self programming cellular automata (SPCA) with specific application to pseudorandom number generation. By changing a cell's state transition rules in relation to factors such as its neighboring
Guan, SU, Tan, SK
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Molecular Oncology, EarlyView.Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
Photon Arrival Time Quantum Random Number Generation
, 2009 A quantum random number generator (QRNG) is one which re- lies on a physical process, extracting randomness from the inherent uncertainty in quantum mechanics.
Wayne, Michael A.
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