Results 141 to 150 of about 1,914,780 (311)

Development of Reduced Order Model for Steady State Flow Field in Two-dimensional Lower Plenum

Yuanzineng kexue jishu
In the field of reactor thermal-hydraulics, system thermal-hydraulic codes have been widely employed to quickly determine the global response characteristics of the primary system.
SHANG He1, PENG Minjun1, 2, XIA Genglei1, 2, , ZHANG Shiqi1, ZHU Shijie1
doaj   +1 more source

Semi-mechanistic reduced order model of pharmaceutical tablet dissolution for enabling Industry 4.0 manufacturing systems. [PDF]

Int J Pharm, 2023
Ferdoush S, Gonzalez M.
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
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, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Development of a force identification method using system-level measurements with component-level reduced-order modeling

Nuclear Engineering and Technology
The accurate estimation of excitation forces is essential for maintaining the structural integrity of dynamic systems. However, direct measurement of excitation forces is often infeasible in practical scenarios.
Hyeongyeong Jin, Seunghun Baek
doaj   +1 more source

An improved reduced-order model for pressure drop across arterial stenoses. [PDF]

PLoS One, 2021
Lyras KG, Lee J.
europepmc   +1 more source

Koopman Reduced-Order Modeling with Confidence Bounds

SIAM Journal on Applied Dynamical Systems
This paper introduces a reduced order modeling technique based on Koopman operator theory that gives confidence bounds on the model's predictions. It is based on a data-driven spectral decomposition of the Koopman operator. The reduced order model is constructed using a finite number of Koopman eigenvalues and modes, while the rest of spectrum is ...
Ryan Mohr, Maria Fonoberova, Igor Mezic
openaire   +2 more sources

Stabilizing Control For Higher Order Systems Via Reduced Order Model - A Passivity Based Approach

, 2004
In this paper a methodology for design of stabilizing control for high order system via reduced order model is presented. In the first part a method is proposed for the reduction of original higher order passive system to a lower order stable model ...
Shingare, Prashant, Abhyankar, H. K., Bandyopadhyay, B.   +2 more
core   +1 more source

PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines

FEBS Open Bio, EarlyView.
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart, Manon Van den Abbeel, Christoph Schifflers, Karim Bouhjar, Andrea Scarmelotto, Alexis Khelfi, Anne‐Catherine Wera, Carine Michiels   +7 more
wiley   +1 more source

Reduced-Order Model of a Time-Trial Cyclist Helmet for Aerodynamic Optimization Through Mesh Morphing and Enhanced with Real-Time Interactive Visualization

Fluids
Aerodynamics is a key factor in time-trial cycling. Over the years, various aspects have been investigated, including positioning, clothing, bicycle design, and helmet shape.
E. Di Meo, A. Lopez, C. Groth, M. E. Biancolini, P. P. Valentini   +4 more
doaj   +1 more source

A reduced-order model of the spine to study pediatric scoliosis. [PDF]

Biomech Model Mechanobiol, 2021
Neelakantan S, Purohit PK, Pasha S.
europepmc   +1 more source