Results 71 to 80 of about 8,865,576 (206)
ABSTRACT Background Cognitive reappraisal is an emotion‐regulation strategy that involves altering the emotional impact of a situation by changing its appraisal. However, individuals with depressive symptoms often struggle to deploy momentary cognitive reappraisal during emotional encounters due to impaired cognitive control.
Shengdong Chen +5 more
wiley +1 more source
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Abstract INTRODUCTION Preserving adult hippocampal neurogenesis alleviates cognitive deficits in Alzheimer's disease (AD), yet how biophysical alterations in such as stiffness in the neurogenic niche regulate neurogenesis remains unclear. METHODS Stiffness in the hippocampal dentate gyrus subgranular cell zone (SGZ) of 5×FAD mice was measured using ...
Weiqi Sun +25 more
wiley +1 more source
Non-linear M -sequences Generation Method
The article deals with a new method for modeling a pseudorandom number generator based on R-blocks. The gist of the method is the replacement of a multi digit XOR element by a stochastic adder in a parallel binary linear feedback shift register scheme.
Z. R. Garifullina +3 more
doaj
Pseudorandom Number Generators [PDF]
Sequences of pseudorandom numbers are needed for applications of stochastic simulation. Usually they are generated in the computer by a deterministic algorithm which produces a sequence of standard pseudorandom numbers, i.e. a sequence of numbers which “behave” as a realization of a sequence of independent identically distributed random variables ...
openaire +1 more source
Compact digital pseudorandom number generator
A general-purpose easy-to-implement random number generator is presented. It features an 8 bit word size, good statistical properties and repeatability of the generated sequence. The circuit has been included in the design of many systems, ranging from neural networks to cryptography.
ANGUITA, DAVIDE +2 more
openaire +2 more sources
Cryptanalytic Attacks on Pseudorandom Number Generators [PDF]
In this paper we discuss PRNGs: the mechanisms used by real-world secure systems to generate cryptographic keys, initialization vectors, "random" nonces, and other values assumed to be random. We argue that PRNGs are their own unique type of cryptographic primitive, and should be analyzed as such.
John Kelsey +3 more
openaire +1 more source
Abstract INTRODUCTION Cognitive changes in the asymptomatic stages of Alzheimer disease (AD) are subtle and difficult to detect using conventional cognitive tests. High‐frequency smartphone‐based testing may improve sensitivity to these changes, but generational differences in technology use could influence performance.
Samhita Katteri +32 more
wiley +1 more source
On optimal GFSR pseudorandom number generators [PDF]
It is shown that in t ( ≥ 4
openaire +2 more sources

