Glyceride structure variation in soybean varieties: I. Stereospecific analysis

Lipids ◽  
1977 ◽  
Vol 12 (12) ◽  
pp. 1032-1036 ◽  
Author(s):  
S. H. Fatemi ◽  
E. G. Hammond
Keyword(s):  
Stereospecific Analysis ◽  
Glyceride Structure ◽  
Structure Variation

DOMAIN STRUCTURE VARIATION WITH THICKNESS OF Nd2Fe14B SINGLE CRYSTAL

1988 ◽  
Vol 49 (C8) ◽  
pp. C8-589-C8-590
Author(s):  
Y. Luo ◽  
Q. G. Ji ◽  
N. Zhang ◽  
B. S. Han
Keyword(s):  
Single Crystal ◽  
Domain Structure ◽  
Structure Variation

scholarly journals Control of Structural and Magnetic Properties of Polycrystalline Co2FeGe Films via Deposition and Annealing Temperatures

Nanomaterials ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1229
Author(s):  
Andrii Vovk ◽  
Sergey A. Bunyaev ◽  
Pavel Štrichovanec ◽  
Nikolay R. Vovk ◽  
Bogdan Postolnyi ◽  
...  
Keyword(s):  
Magnetic Properties ◽  
Spin Transfer Torque ◽  
Spin Transfer ◽  
Post Deposition Annealing ◽  
Structure Variation ◽  
Annealing Temperatures ◽  
Damping Parameter ◽  
Soft Ferromagnetic ◽  
Thin Polycrystalline ◽  
Post Deposition

Thin polycrystalline Co2FeGe films with composition close to stoichiometry have been fabricated using magnetron co-sputtering technique. Effects of substrate temperature (TS) and post-deposition annealing (Ta) on structure, static and dynamic magnetic properties were systematically studied. It is shown that elevated TS (Ta) promote formation of ordered L21 crystal structure. Variation of TS (Ta) allow modification of magnetic properties in a broad range. Saturation magnetization ~920 emu/cm3 and low magnetization damping parameter α ~ 0.004 were achieved for TS = 573 K. This in combination with soft ferromagnetic properties (coercivity below 6 Oe) makes the films attractive candidates for spin-transfer torque and magnonic devices.

EVOLUTION OF SHANGHAI STOCK MARKET BASED ON MAXIMAL SPANNING TREES

2012 ◽  
Vol 27 (03) ◽  
pp. 1350022 ◽  
Author(s):  
CHUNXIA YANG ◽  
YING SHEN ◽  
BINGYING XIA
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Spanning Tree ◽  
Stock Price ◽  
Spanning Trees ◽  
Turning Points ◽  
Single Step ◽  
P Value ◽  
Power Law Distribution ◽  
Structure Variation

In this paper, using a moving window to scan through every stock price time series over a period from 2 January 2001 to 11 March 2011 and mutual information to measure the statistical interdependence between stock prices, we construct a corresponding weighted network for 501 Shanghai stocks in every given window. Next, we extract its maximal spanning tree and understand the structure variation of Shanghai stock market by analyzing the average path length, the influence of the center node and the p-value for every maximal spanning tree. A further analysis of the structure properties of maximal spanning trees over different periods of Shanghai stock market is carried out. All the obtained results indicate that the periods around 8 August 2005, 17 October 2007 and 25 December 2008 are turning points of Shanghai stock market, at turning points, the topology structure of the maximal spanning tree changes obviously: the degree of separation between nodes increases; the structure becomes looser; the influence of the center node gets smaller, and the degree distribution of the maximal spanning tree is no longer a power-law distribution. Lastly, we give an analysis of the variations of the single-step and multi-step survival ratios for all maximal spanning trees and find that two stocks are closely bonded and hard to be broken in a short term, on the contrary, no pair of stocks remains closely bonded for a long time.

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