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
core
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Three-Dimensional Electromagnetic Mixing Models for Dual-Phase Steel Microstructures
Linking the ferrite fraction in a dual-phase (DP) steel microstructure and its electromagnetic properties is critical in the effort to develop on-line measurement techniques for phase transformation using electromagnetic (EM) sensors.
Weibin Zhou +8 more
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
A complete characterization of the evolution of RC4 pseudo random generation algorithm
In this paper, we provide a complete characterization of the RC4 Pseudo Random Generation Algorithm (PRGA) for one step: i = i + 1; j = j + S[i]; swap(S[i], S[j]); z = S[S[i] + S[j]].
Basu Riddhipratim +3 more
doaj +1 more source
GROUP-THEORETIC GENERATION OF NON-UNIFORM PSEUDO-RANDOM SEQUENCES FOR SIMULATION [PDF]
: Many applications involving statistical simulation, such as Monte Carlo methods, require non-uniform random sequences. These are usually created by first generating a uniform sequence and then using techniques such as rejection sampling or ...
Marco Pollanen
core
Random Generation and Approximate Counting of Ambiguously Described Combinatorial Structures [PDF]
This paper concerns the uniform random generation and the approximate counting of combinatorial structures admitting an ambiguous description. we propose a general framework to study the complexity of these problems and present some applications to ...
Massimo Santini +5 more
core +1 more source
Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang +22 more
wiley +1 more source
The maximum k-coverage problem (MKCP) is a problem of finding a solution that includes the maximum number of covered rows by selecting k columns from an m ×n matrix of 0s and 1s.
Yoon Choi, Jingeun Kim, Yourim Yoon
doaj +1 more source
Performance Analysis of Cryptographic Pseudorandom Number Generators
Pseudorandom number generators (PRNGs) are important in cryptography and have been used in several security applications, such as authentication protocols, session keys, key distribution, and keystream for a one-time pad.
Mohammad Aljohani +3 more
doaj +1 more source

