Heart failure (HF) affects at least 26 million people worldwide, so predicting adverse events in HF patients represents a major target of clinical data science. However, achieving large sample sizes ...

Researchers have developed a method for generating numbers guaranteed to be random, through the use of quantum mechanics. The experimental technique surpasses all previous methods for ensuring the ...

Random number generation is a key part of cybersecurity and encryption, and it is applied to many apps used in everyday life, both for business and leisure. These numbers help create unique keys, ...

The urgency of the problem of personal data protection increases with the growth of global digitalization. This problem hinders the growth of many information technologies. Nowadays, information ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: The information system based on the double random algorithm is widely used in the industry with the implementation of the "double random and one open" policy. However, the traditional ...

1 Ministry of Education Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Northeast Electric Power University, Jilin, China 2 Changchun Power Supply Branch of ...

The object of this work is to describe how to implement the differential ‎transformation method (DTM) for finding exact and approximate solutions of ‎the second-order random differential equations. To ...

I'd like to be able to apply a random rotation to an object. There are a couple of ways I initially thought to do this: random euler angles, random (normalized) rotation matrix values, and random ...

When using the random.Random class, using the .seed() method with version=1 and then calling .randrange() does not always reproduce the same results as the .seed() method did in Python 2. From the ...