Results 121 to 130 of about 193,973 (281)
Some Difficult-to-pass Tests of Randomness [PDF]
We describe three tests of randomness-- tests that many random number generators fail. In particular, all congruential generators-- even those based on a prime modulus-- fail at least one of the tests, as do many simple generators, such as shift register
George Marsaglia, Wai Wan Tsang
core +1 more source
PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart +7 more
wiley +1 more source
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda +12 more
wiley +1 more source
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Quantum random number generators with entanglement for public randomness testing. [PDF]
Jacak JE +3 more
europepmc +1 more source
A Search for Good Pseudo-random Number Generators : Survey and Empirical Studies
In today's world, several applications demand numbers which appear random but are generated by a background algorithm; that is, pseudo-random numbers. Since late $19^{th}$ century, researchers have been working on pseudo-random number generators (PRNGs).
Bhattacharjee, Kamalika +2 more
core
AbstractMost modern encryption and authentication methods rely on generating random numbers for key generation, initial vectors, or nonces. A Random Number Generator is cryptographically secure if the sequences of numbers that it generates are unpredictable. They are typically grouped into two categories: Pseudo-Random Number Generators and True Random
openaire +1 more source
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman +4 more
wiley +1 more source
This study comprehensively examines security and performance-oriented selection and evaluation criteria for Random Number Generators (RNGs) used in cryptographic applications.
Ali Murat Garıpcan, Ebubekir Erdem
doaj +1 more source
Author Correction: Quantum random number generators with entanglement for public randomness testing. [PDF]
Jacak JE +3 more
europepmc +1 more source

