Results 61 to 70 of about 82,300 (309)
Dynamical Sampling with Additive Random Noise [PDF]
Dynamical sampling deals with signals that evolve in time under the action of a linear operator. The purpose of the present paper is to analyze the performance of the basic dynamical sampling algorithms in the finite dimensional case and study the impact of additive noise.
Aldroubi, Akram +5 more
openaire +3 more sources
Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source
On additive channels with generalized Gaussian noise [PDF]
2017 IEEE International Symposium on Information Theory (ISIT)
Alex Dytso +3 more
openaire +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Structure-preserving Runge-Kutta methods for stochastic Hamiltonian equations with additive noise
There has been considerable recent work on the development of energy conserving one-step methods that are not symplectic. Here we extend these ideas to stochastic Hamiltonian problems with additive noise and show that there are classes of Runge-Kutta ...
Burrage, Pamela, Burrage, Kevin
core +1 more source
An open-loop approach to study the stochastic properties [PDF]
Randomness is an inevitable aspect of biological networks. It has been long accepted that variability of components in a network can propagate throughout the network. In this thesis, we introduce a method that allows us to decompose the total variability
Maleki, Farzaneh
core +1 more source
The results of the investigation and develop of the suppressing additive noise methods in fiber-optic interferometric sensors, in which optical scheme is based on a two-beam Michelson interferometer, are presented.
A. V. Volkov +2 more
doaj +1 more source
Information Concealment Through Noise Addition
AbstractA novel method of concealing information is proposed. Encrypted data is mixed with noise to add the security. The cost of an attack increases linearly with the size of the added noise. Since generating noise is cheap, the size of noise can be as large as possible.
Budi Rahardjo +3 more
openaire +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Front propagation sustained by additive noise
The effect of noise in a motionless front between a periodic spatial state and an homogeneous one is studied. Numerical simulations show that noise induces front propagation. From the subcritical Swift-Hohenberg equation with noise, we deduce an adequate equation for the envelope and the core of the front.
Clerc Gavilán, Marcel +2 more
openaire +6 more sources

