Results 111 to 120 of about 137,250 (253)

Proteomic Profiling of Primary Hippocampal Neurons Reveals Noncanonical GFAP Expression and Metabolic Adaptations in Glia‐Free Culture

PROTEOMICS, EarlyView.
ABSTRACT Despite their widespread use as a research model, a comprehensive, quantitative proteomic profile of the cultured hippocampal neurons has remained unexplored. Here, we provide the first global proteomic characterization of primary murine hippocampal neurons cultured for 14 days under near‐physiological glucose conditions (2.5 mM).
Dominika Drulis‐Fajdasz, Kinga Gostomska‐Pampuch, Natalia Pudełko‐Malik, Mariusz Fleszar, Agnieszka Gizak, Jacek R. Wiśniewski, Dariusz Rakus   +6 more
wiley   +1 more source

Proper orthogonal decomposition analysis of vortex shedding behind a rotating circular cylinder

EPJ Web of Conferences, 2016
Turbulence studies were made in the wake of a rotating circular cylinder in a uniform free stream with the objective of describing the patterns of the vortex shedding up to suppression of the periodic vortex street at high velocity ratios, λ. The results
Dol Sharul Sham
doaj   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Proper orthogonal decomposition investigation in fluid structure interaction

European Journal of Computational Mechanics, 2007
This paper describes Reduced Order Modeling (ROM) in Fluid Structure Interaction (FSI) and discusses Proper Orthogonal Decomposition (POD) utilization. The ROM method was selected because its performance in fluid mechanics. The principal problems of its application in FSI are due the space character of the modes resulting from the POD whereas domains ...
Liberge, Erwan, Benaouicha, Mustapha, Hamdouni, Aziz   +2 more
openaire   +3 more sources

Tailoring Laser Powder Bed Fusion and Post‐Processing Parameters for JIS SKD61 Tool Steels: Surface Roughness, Microstructure, and Mechanical Properties

steel research international, EarlyView.
Laser powder bed fusion of JIS SKD61 tool steel is systematically optimized using a Taguchi design and ANOVA. Hatch spacing and layer thickness are identified as dominant parameters controlling surface roughness and tensile strength. Subsequent tempering at 600°C improves microstructural stability and mechanical performance, enabling high‐density SKD61
Masrurotin Masrurotin, Andi Ard Maidhah, Maziar Ramezani, Wojciech Macek, Cho‐Pei Jiang   +4 more
wiley   +1 more source

On the Application of Proper Orthogonal Decomposition (POD) for In-Cylinder Flow Analysis

Energies, 2018
Proper orthogonal decomposition (POD) is a coherent structure identification technique based on either measured or computed data sets. Recently, POD has been adopted for the analysis of the in-cylinder flows inside internal combustion engines.
Mohammed El-Adawy, Morgan R. Heikal, A. Rashid A. Aziz, Ibrahim Khalil Adam, Mhadi A. Ismael, Mohammed E. Babiker, Masri B. Baharom, Firmansyah, Ezrann Zharif Zainal Abidin   +8 more
doaj   +1 more source

Application of machine learning to viscoplastic flow modeling

, 2018
We present a method to construct reduced-order models for duct flows of Bingham media. Our method is based on proper orthogonal decomposition (POD) to find a low-dimensional approximation to the velocity and artificial neural network to approximate the ...
Koroteev, D., Muravleva, E., Oseledets, I.   +2 more
core   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Model Order Reduction Methods for Rotating Electrical Machines: A Review

Energies
Due to the rise of e-mobility applications, there is an increased demand to create more accurate control methods, which can reduce the loss in an e-drive system.
Kristóf Levente Kiss, Tamás Orosz
doaj   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo, Yao Huang, Jian Cheng, Xiaoyu Ban, Xiaoxiao Zhao, Tianyu Liu   +5 more
wiley   +1 more source