Results 81 to 90 of about 1,806,397 (284)

Dynamic Parameter Identification of Hydrodynamic Bearing-Rotor System

open access: yesShock and Vibration, 2015
A new method called modal parameter genetic time domain identification was employed to study the characteristics of the bearing-rotor system. A multifrequency signal decomposition technology to identify the main components of the measured signal and ...
Zhiqiang Song, Yunhe Liu
doaj   +1 more source

System identification, time series analysis and forecasting:The Captain Toolbox handbook. [PDF]

open access: yes, 2007
CAPTAIN is a MATLAB compatible toolbox for non stationary time series analysis, system identification, signal processing and forecasting, using unobserved components models, time variable parameter models, state dependent parameter models and multiple ...
Pedregal, Diego J.   +2 more
core  

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Semi-analytic parameter identification for complex yield functions

open access: yesMATEC Web of Conferences, 2016
This paper presents a new parameter identification scheme for complex yield criteria of sheet metals using experimentally determined load and strain distributions and combining analytical stress analysis on sectional strain data with common inverse ...
Küsters Niklas, Brosius Alexander
doaj   +1 more source

Research on Modeling of Microgrid Based on Data Testing and Parameter Identification

open access: yesEnergies, 2018
The model parameter identification based on real operation data is a means to accurately determine the simulation parameters of the microgrid, but the real operation data cannot guarantee the exact agreement with the required data for parameter ...
Junjun Zhang   +4 more
doaj   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira   +14 more
wiley   +1 more source

Modelling and Parameter Identification Using Reduced I-V Data [PDF]

open access: yes, 2017
No abstract ...
Lim, Li Hong Idris, Tay, Shaun, Ye, Zhen
core  

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

open access: yesMolecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath   +13 more
wiley   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

open access: yesMolecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy   +9 more
wiley   +1 more source

A parameter identification problem in stochastic homogenization

open access: yesESAIM: Proceedings and Surveys, 2015
In porous media physics, calibrating model parameters through experiments is a challenge. This process is plagued with errors that come from modelling, measurement and computation of the macroscopic observables through random ...
Legoll Frédéric   +3 more
doaj   +1 more source

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