Dynamic motion and freezing of polaronic local structures in a colossal-magnetoresistive perovskite manganite La0.7Ca0.3MnO3 detected with radioactive nuclei

2019 ◽  
Vol 100 (18) ◽  
Author(s):  
W. Sato ◽  
S. Komatsuda ◽  
H. Shimizu ◽  
R. Moriichi ◽  
S. Abe ◽  
...  
Keyword(s):  
Perovskite Manganite ◽  
Colossal Magnetoresistive ◽  
Dynamic Motion ◽  
Local Structures

Chemical composition effects in the thin films of the colossal magnetoresistive perovskite manganates grown by MOCVD

1999 ◽  
Vol 09 (PR8) ◽  
pp. Pr8-659-Pr8-666 ◽  
Author(s):  
O. Yu. Gorbenko ◽  
I. E. Graboy ◽  
A. A. Bosak ◽  
V. A. Amelichev ◽  
A. Yu. Ganin ◽  
...  
Keyword(s):  
Thin Films ◽  
Chemical Composition ◽  
Colossal Magnetoresistive ◽  
Composition Effects

Evaluation of left atrial size and function – from M-mode to 3D speckle-tracking echocardiography

2014 ◽  
Vol 155 (41) ◽  
pp. 1624-1631 ◽  
Author(s):  
Attila Nemes ◽  
Tamás Forster
Keyword(s):  
Left Atrium ◽  
Left Atrial ◽  
Functional Characterization ◽  
Left Atrial Size ◽  
Dynamic Motion ◽  
Heart Chamber ◽  
Atrial Size ◽  
Exact Measurement ◽  
Heart Cycle ◽  
And Function

Left atrium is not a passive heart chamber, because it has a dynamic motion respecting heart cycle and, in accordance with its stretching, it releases atrial natriuretic peptides. Since in the course of certain invasive procedures the size of left atrium may change substantially, its exact measurement and functional characterization are essential. The aim of the present review is to summarize echocardiographic methods for the assessment of left atrial size and functional parameters. Orv. Hetil., 2014. 155(41), 1624–1631.

Single Image Dehazing by Predicting Atmospheric Scattering Parameters

2020 ◽  
Vol 2020 (1) ◽  
pp. 74-77
Author(s):  
Simone Bianco ◽  
Luigi Celona ◽  
Flavio Piccoli
Keyword(s):  
Reference Image ◽  
Single Image ◽  
Scattering Parameters ◽  
Image Dehazing ◽  
Atmospheric Scattering ◽  
Local Structures ◽  
Full Reference ◽  
Reconstruction Quality ◽  
Single Image Dehazing

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.

Does Local Structure Bias How a Crystal Nucleus Evolves?

2018 ◽  
Author(s):  
Kyle Hall ◽  
Zhengcai Zhang ◽  
Christian Burnham ◽  
Guang-Jun Guo ◽  
Sheelagh Carpendale ◽  
...  
Keyword(s):  
Local Structure ◽  
Molecular Level ◽  
Hydrate Formation ◽  
Mixed Gas ◽  
Local Structures ◽  
Surrounding Environment ◽  
Gas Hydrate Formation ◽  
Significant Research ◽  
Crystal Phases ◽  
Recent Experimental Work

<p>The broad scientific and technological importance of crystallization has led to significant research probing and rationalizing crystallization processes, particularly how nascent</p> <p>crystal phases appear. Previous work has generally neglected the possibility of the molecular-level dynamics of individual nuclei coupling to local structures (e.g., that of the nucleus and its</p> <p>surrounding environment). However, recent experimental work has conjectured that this can occur. Therefore, to address a deficiency in scientific understanding of crystallization, we have</p> <p>probed the nucleation of prototypical single and multi-component crystals (specifically, ice and mixed gas hydrates). Here, we establish that local structures can bias the evolution of nascent</p> <p>crystal phases on a nanosecond timescale by, for example, promoting the appearance or disappearance of specific crystal motifs, and thus reveal a new facet of crystallization behaviour.</p> <p>Analysis of the crystallization literature confirms that structural biases are likely present during crystallization processes beyond ice and gas hydrate formation. Moreover, we demonstrate that</p> <p>structurally-biased dynamics are a lens for understanding existing computational and experimental results while pointing to future opportunities.</p>

Does Local Structure Bias How a Crystal Nucleus Evolves?

2018 ◽  
Author(s):  
Kyle Hall ◽  
Zhengcai Zhang ◽  
Christian Burnham ◽  
Guang-Jun Guo ◽  
Sheelagh Carpendale ◽  
...  
Keyword(s):  
Local Structure ◽  
Molecular Level ◽  
Hydrate Formation ◽  
Mixed Gas ◽  
Local Structures ◽  
Surrounding Environment ◽  
Gas Hydrate Formation ◽  
Significant Research ◽  
Crystal Phases ◽  
Recent Experimental Work

<p>The broad scientific and technological importance of crystallization has led to significant research probing and rationalizing crystallization processes, particularly how nascent</p> <p>crystal phases appear. Previous work has generally neglected the possibility of the molecular-level dynamics of individual nuclei coupling to local structures (e.g., that of the nucleus and its</p> <p>surrounding environment). However, recent experimental work has conjectured that this can occur. Therefore, to address a deficiency in scientific understanding of crystallization, we have</p> <p>probed the nucleation of prototypical single and multi-component crystals (specifically, ice and mixed gas hydrates). Here, we establish that local structures can bias the evolution of nascent</p> <p>crystal phases on a nanosecond timescale by, for example, promoting the appearance or disappearance of specific crystal motifs, and thus reveal a new facet of crystallization behaviour.</p> <p>Analysis of the crystallization literature confirms that structural biases are likely present during crystallization processes beyond ice and gas hydrate formation. Moreover, we demonstrate that</p> <p>structurally-biased dynamics are a lens for understanding existing computational and experimental results while pointing to future opportunities.</p>

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