Results 91 to 100 of about 28,524 (229)
Methods Based on Polynomial Chaos for Quadratic Delay Differential Equations With Random Parameters
ABSTRACT We consider systems of delay differential equations (DDEs), including a single delay and a quadratic right‐hand side. In a system, parameters are replaced by random variables to perform an uncertainty quantification. Thus the solution of the DDEs becomes a random process, which can be represented by a series of the generalised polynomial chaos.
Roland Pulch
wiley +1 more source
Output-Only Identification of System Parameters from Noisy Measurements by Multiwavelet Denoising
In this paper we estimate the parameters of a multidimensional system from a record of noisy output measurements by using a multiwavelet denoising technique.
O. Al-Gahtani, M. El-Gebeily, Y. Khulief
doaj +1 more source
Single‐cell mitochondrial lineage tracing: Opportunities and challenges
Abstract Lineage tracing using endogenous mitochondrial DNA (mtDNA) variants holds great promise for reconstructing the lineage histories of individual cells, with broad applications in oncology, developmental biology, and regenerative medicine.
Siqi Li, Kun Wang, Xin Wang, Zheng Hu
wiley +1 more source
Parametric Study of Stochastic Subspace Algorithms in Modal Analysis of Moment‐Resistant Frames [PDF]
The Finite Element Model (FEM) derived from the design drawings may not precisely depict the behavior of the actual structure. This is due to various factors, such as construction variations, uncertainties in boundary conditions, discrepancies in ...
Mehran Pourgholi, Saied Mahdavi
doaj +1 more source
Qubit‐Efficient Quantum Local Search for Combinatorial Optimization
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii +4 more
wiley +1 more source
Digital Twin Simulations Toolbox of the Nitrogen‐Vacancy Center in Diamond
The Nitrogen‐vacancy (NV) center in diamond is a key platform within quantum technologies. This work introduces a Python based digital‐twin of the NV, where the spin dynamics of the system is simulated without relying on commonly used approximations, such as the adoption of rotating frame. The digital‐twin is validated through three different examples,
Lucas Tsunaki +3 more
wiley +1 more source
With the rapid development of underground engineering in China, the heavy structural maintenance work followed is expected to be a great challenge in the future.
Biao Zhou, Xiongyao Xie, Xiaojian Wang
doaj +1 more source
ESPLSM: An Efficient and Interpretable Mediation Analysis Framework Using Sparse Envelopes
ABSTRACT Mediation analysis is a fundamental tool for understanding biological mechanisms through which an exposure exerts its effect on an outcome via intermediate variables, or mediators. However, modern biomedical studies often involve multiple exposures and mediators with complex correlation structures, and may also involve multiple outcomes, as in
Yeonhee Park, Zhihua Su
wiley +1 more source
Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data
A deterministic-stochastic subspace identification method is adopted and experimentally verified in this study to identify the equivalent single-input-multiple-output system parameters of the discrete-time state equation.
Ming-Chih Huang +2 more
doaj +1 more source
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley +1 more source

