the design and optimization of hydrocyclones using cfd techniques are gaining popularity and the key to a successful simulation lies with the accurate description of the high turbulent swirling behavior of the flow. this paper presents a detailed comparison between the omega rsm and the rng k–e turbulence model, which are both derived specially for modeling swirling or rotational flow, in the s...

We analyze the thermodynamic costs of the three main approaches to generating random numbers via the recently introduced Information Processing Second Law. Given access to a specified source of randomness, a random number generator (RNG) produces samples from a desired target probability distribution. This differs from pseudorandom number generators (PRNGs) that use wholly deterministic algorit...

This individual differences study examined the separability of three often postulated executive functions-mental set shifting ("Shifting"), information updating and monitoring ("Updating"), and inhibition of prepotent responses ("Inhibition")-and their roles in complex "frontal lobe" or "executive" tasks. One hundred thirty-seven college students performed a set of relatively simple experimenta...

Cryptography is an important tool for protecting and securing data. In public key cryptography, the key generation plays a vital role for strengthening the security. The random numbers are the seed values in key generation process in many of the public key cryptography algorithms, such as Elgamal, Rivest_Shamir_Adleman (RSA) algorithm etc. Much effort is dedicated to develop efficient Random Nu...

In this paper n is a natural number. One can prove the following propositions: (1) For every non empty subset X of E2 T and for every compact subset Y of E2 T such that X ⊆ Y holds N-boundX ¬ N-boundY. (2) For every non empty subset X of E2 T and for every compact subset Y of E2 T such that X ⊆ Y holds E-boundX ¬ E-boundY. (3) For every non empty subset X of E2 T and for every compact subset Y ...

Random number generators (RNGs) are functions which produce pseudo-random numbers. Usually, the numbers produced are fractions between 0 and 1. Ideally, every fraction a computer language can represent will be as likely to be generated as every other by that language’s RNG, and the order of numbers will be unpredictable to the user. Slightly more formally, the RNG should produce sequences of nu...

Proof complexity generators are used to define candidate hard tautologies for strong proof systems like Frege proof system or Extended Frege. They were independently introduced by Krajı́ček [3] and by Alekhnovich, Ben-Sasson, Razborov, and Wigderson [1]. Roughly speaking, the tautologies encode the fact that b / ∈ Rng(g) for an element b outside of the range of a generator g : {0, 1} 7−→ {0, 1},...

Predicting hemolysis is a mandatory task when designing blood flow related mechanisms. For decades, researchers have tried to estimate trauma in red cell (RBC) for applying assist mechanisms development, but the specificity and absence of more physical details limited models this purpose into ranges applications. This work aims present new method modelling considering stress threshold that RBC ...