A Proper Generalized Decomposition Approach for Low Frequency Dynamic Problems

2014 ◽  
Author(s):  
P. Nargil ◽  
F. Louf ◽  
P.-A. Boucard
Keyword(s):  
Low Frequency ◽  
Dynamic Problems ◽  
Proper Generalized Decomposition ◽  
Decomposition Approach

scholarly journals Model order reduction in hyperelasticity: a proper generalized decomposition approach

2013 ◽  
Vol 96 (3) ◽  
pp. 129-149 ◽  
Author(s):  
Siamak Niroomandi ◽  
Icíar Alfaro ◽  
David González ◽  
Elías Cueto ◽  
Francisco Chinesta
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
Proper Generalized Decomposition ◽  
Model Order ◽  
Decomposition Approach

scholarly journals A proper generalized decomposition approach for optical flow estimation

2020 ◽  
Vol 43 (8) ◽  
pp. 5339-5356
Author(s):  
Abdallah El Hamidi ◽  
Marwan Saleh ◽  
Nicolas Papadakis ◽  
B. Denis Senneville
Keyword(s):  
Optical Flow ◽  
Proper Generalized Decomposition ◽  
Decomposition Approach ◽  
Flow Estimation ◽  
Optical Flow Estimation

scholarly journals Efficient estimation of cardiac conductivities: A proper generalized decomposition approach

2020 ◽  
Vol 423 ◽  
pp. 109810 ◽  
Author(s):  
Alessandro Barone ◽  
Michele Giuliano Carlino ◽  
Alessio Gizzi ◽  
Simona Perotto ◽  
Alessandro Veneziani
Keyword(s):  
Efficient Estimation ◽  
Proper Generalized Decomposition ◽  
Decomposition Approach

scholarly journals Drivers of Stock Prices in Ghana: An Empirical Mode Decomposition Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Emmanuel. N. Gyamfi ◽  
Frederick A. A. Sarpong ◽  
Anokye M. Adam
Keyword(s):  
Empirical Mode Decomposition ◽  
Stock Prices ◽  
Low Frequency ◽  
Rank Correlation ◽  
Stock Index ◽  
Intrinsic Mode Functions ◽  
Decomposition Approach ◽  
Statistical Measures ◽  
Mode Decomposition ◽  
Kendall Rank Correlation

This study utilized the empirical mode decomposition (EMD) technique and examined which group of investors based on their trading frequencies influence stock prices in Ghana. We applied this technique to a dataset of daily closing prices of GSE Financial Stock Index for the period 04/01/2011 to 28/08/2015. The daily closing prices were decomposed into six intrinsic mode functions (IMFs) and a residue. We used the hierarchical clustering method to reconstruct the IMFs into high frequency, low frequency, and trend components. Using statistical measures such as Pearson product moment correlation coefficient and the Kendall rank correlation, we found that the low frequency and trend components of stock prices are the main drivers of the GSE stock index. These low-frequency traders are the institutional investors. Therefore, stock prices on the GSE are affected by real economic growth but not short-lived market fluctuations.

A Study on the Fine Structure of the Lateral Line Organ of the Sea Eel

1973 ◽  
Vol 31 ◽  
pp. 648-649
Author(s):  
K. Hama
Keyword(s):  
Fine Structure ◽  
Electron Microscope ◽  
Lateral Line ◽  
Low Frequency ◽  
Sensory Cells ◽  
Apical Surface ◽  
Voltage Electron ◽  
Sensory Epithelia ◽  
Low Frequency Vibration ◽  
Transmission Electron

The lateral line organs of the sea eel consist of canal and pit organs which are different in function. The former is a low frequency vibration detector whereas the latter functions as an ion receptor as well as a mechano receptor.The fine structure of the sensory epithelia of both organs were studied by means of ordinary transmission electron microscope, high voltage electron microscope and of surface scanning electron microscope.The sensory cells of the canal organ are polarized in front-caudal direction and those of the pit organ are polarized in dorso-ventral direction. The sensory epithelia of both organs have thinner surface coats compared to the surrounding ordinary epithelial cells, which have very thick fuzzy coatings on the apical surface.

Lectin Binding to Human Breast Tumor Cells

1976 ◽  
Vol 34 ◽  
pp. 34-35
Author(s):  
Robert E. Nordquist ◽  
J. Hill Anglin ◽  
Michael P. Lerner
Keyword(s):  
Carcinoma Cell ◽  
Ricinus Communis ◽  
Lectin Binding ◽  
Low Frequency ◽  
Breast Carcinoma Cell Line ◽  
Human Breast ◽  
Human Breast Tumor ◽  
Duct Carcinoma ◽  
Specific Antigens ◽  
Ricin Agglutinin

A human breast carcinoma cell line (BOT-2) was derived from an infiltrating duct carcinoma (1). These cells were shown to have antigens that selectively bound antibodies from breast cancer patient sera (2). Furthermore, these tumor specific antigens could be removed from the living cells by low frequency sonication and have been partially characterized (3). These proteins have been shown to be around 100,000 MW and contain approximately 6% hexose and hexosamines. However, only the hexosamines appear to be available for lectin binding. This study was designed to use Concanavalin A (Con A) and Ricinus Communis (Ricin) agglutinin for the topagraphical localization of D-mannopyranosyl or glucopyranosyl and D-galactopyranosyl or DN- acetyl glactopyranosyl configurations on BOT-2 cell surfaces.

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