Results 21 to 30 of about 232,747 (248)

Data-Driven Bayesian Inference for Stochastic Model Identification of Nonlinear Aeroelastic Systems

AIAA Journal
The objective of this work is to propose a data-driven Bayesian inference framework to efficiently identify parameters and select models of nonlinear aeroelastic systems. The framework consists of the use of Bayesian theory together with advanced kriging
Michael McGurk, Adolphus Lye, L. Renson, Jie Yuan   +3 more
semanticscholar   +1 more source

Modeling and characteristic analysis of unsteady broadband excitation spectrum of thruster based on OU−Gaussian process

Zhongguo Jianchuan Yanjiu
ObjectivesTo solve the problem of obtaining propeller excitation information in the prediction and control of ship acoustic vibration, a generalized characterization model of the unsteady broadband excitation of a propeller induced by turbulence based on
Ye WEI, Zhenguo ZHANG
doaj   +1 more source

Gauge-Invariant Quantum Thermodynamics: Consequences for the First Law

Entropy
The universality of classical thermodynamics rests on the central limit theorem, due to which, measurements of thermal fluctuations are unable to reveal detailed information regarding the microscopic structure of a macroscopic body.
Lucas C. Céleri, Łukasz Rudnicki
doaj   +1 more source

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Infinite dimensional parameter identification for stochastic parabolic systems [PDF]

, 1988
The infinite dimensional parameter estimation for stochastic heat diffusion equations is considered using the method of sieves.
Aihara, ShinIchi, Bagchi, Arunabha
core   +3 more sources

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

Advanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon, Raúl López‐Martín, Verner Håkonsen, Nader Yaacoub, Francisco J. Terán, Alberto López Ortega, Jose A. De Toro, Gurvinder Singh   +7 more
wiley   +1 more source

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

Advanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian, Talin Ebrahimian, Jonathan Miranda O'Connor, Janusz Rak, Stephanie Lehoux, Maryam Tabrizian   +5 more
wiley   +1 more source

Deciphering HIV-1 Transcription Initiation and Elongation from Single-Molecule Imaging Data

Research
The stages of transcription initiation and elongation are critical in the regulation of HIV-1 gene expression. Recent single-molecule imaging in living cells has shown that HIV-1 transcription occurs across multiple time scales and plays a key role in ...
Xiyan Yang, Zihao Wang, Changhong Shi, Tianshou Zhou, Jiajun Zhang   +4 more
doaj   +1 more source

An Extended Kalman Filter for Data-enabled Predictive Control

, 2020
The literature dealing with data-driven analysis and control problems has significantly grown in the recent years. Most of the recent literature deals with linear time-invariant systems in which the uncertainty (if any) is assumed to be deterministic and
Alpago, Daniele, Dorfler, Florian, Lygeros, John   +2 more
core   +1 more source