scholarly journals A Short Review and a Comparison of Simulation Models of Electrical Treeing Development in Solid Insulation

2020 ◽  
Vol 13 (4) ◽  
pp. 69-75
Author(s):  
C. Satrazanis ◽  
N. C. Mavrikakis ◽  
K. G. Siderakis ◽  
M. G. Danikas
Keyword(s):  
Simulation Models ◽  
Short Review ◽  
Electrical Treeing ◽  
Solid Insulation

scholarly journals Propagation of Electrical Trees under the Influence of Mechanical Stresses: A Short Review

2019 ◽  
Vol 9 (1) ◽  
pp. 3750-3756
Author(s):  
M. Danikas ◽  
D. Papadopoulos ◽  
S. Morsalin
Keyword(s):  
Short Review ◽  
Mechanical Stresses ◽  
Insulating Materials ◽  
Electrical Trees ◽  
Electrical Treeing ◽  
Solid Insulation

The present paper deals with the phenomenon of electrical treeing in solid insulation, under the influence of mechanical stresses. In this short review, it is indicated that mechanical stressing can affect the propagation of electrical trees and –depending on whether it is tensile or compressive- it can facilitate (or render more difficult) the breakdown. In aged insulating materials, electrical trees can appear very quickly and can lead to breakdown.

Mechanical aspects of electrical treeing in solid insulation

1996 ◽  
Vol 12 (2) ◽  
pp. 21-26 ◽  
Author(s):  
B.R. Varlow ◽  
D.W. Auckland
Keyword(s):  
Electrical Treeing ◽  
Solid Insulation

Modelling farmer decision-making: concepts, progress and challenges

2006 ◽  
Vol 82 (6) ◽  
pp. 783-790 ◽  
Author(s):  
G. Edwards-Jones
Keyword(s):  
Decision Making ◽  
Quantitative Methods ◽  
New Technologies ◽  
Animal Health ◽  
Simulation Models ◽  
Short Review ◽  
Theoretical Frameworks ◽  
Psychological Variables ◽  
Farmer Decision Making

AbstractDecisions made by farmers may have large influences beyond the farm boundary, and for this reason they are often of interest to Government and the public. The process of adoption of new technologies and policies has received considerable academic attention over many years, and this has highlighted the rôle of social influences in decision-making. In addition a range of purely economic-based models of farmer decision-making have been developed in order to predict potential changes in agriculture and land use under future policy and market scenarios. Since the 1990s these traditional approaches to understanding decision-making have been supplemented by an increasing input from psychology. As a result of this work it is clear that farmers' decisions are influenced by a range of factors which may be grouped under six headings: socio-demographics of the farmer, psychological make up of the farmer, the characteristics of the farm household, structure of the farm business, the wider social milieu and the characteristics of the innovation to be adopted. This paper presents a short review of the quantitative methods that seek to integrate insights from economics and social science within theoretical frameworks derived from psychology. Suggestions for further work include more empirical study in farmer decision-making related to animal health and welfare, the rôle of the farmers' own health status in decision-making and the formal integration of economic and psychological variables in simulation models.

Pollutant Identification by Selected Area Electron Diffraction

1974 ◽  
Vol 32 ◽  
pp. 532-533
Author(s):  
R. E. Ferrell ◽  
G. G. Paulson ◽  
C. W. Walker
Keyword(s):  
Thermal Treatment ◽  
Electron Diffraction ◽  
Sample Preparation ◽  
Crystal Structures ◽  
Water Samples ◽  
Environmental Samples ◽  
Short Review ◽  
Selected Area Electron Diffraction ◽  
Multiple Component

Selected area electron diffraction (SAD) has been used successfully to determine crystal structures, identify traces of minerals in rocks, and characterize the phases formed during thermal treatment of micron-sized particles. There is an increased interest in the method because it has the potential capability of identifying micron-sized pollutants in air and water samples. This paper is a short review of the theory behind SAD and a discussion of the sample preparation employed for the analysis of multiple component environmental samples.

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

POPDC proteins and cardiac function

2019 ◽  
Vol 47 (5) ◽  
pp. 1393-1404 ◽  
Author(s):  
Thomas Brand
Keyword(s):  
Potential Role ◽  
Striated Muscle ◽  
Short Review ◽  
Effector Proteins ◽  
Muscle Disease ◽  
Disease Genes ◽  
Protein Protein Interaction ◽  
Interaction Partners ◽  
And Function

Abstract The Popeye domain-containing gene family encodes a novel class of cAMP effector proteins in striated muscle tissue. In this short review, we first introduce the protein family and discuss their structure and function with an emphasis on their role in cyclic AMP signalling. Another focus of this review is the recently discovered role of POPDC genes as striated muscle disease genes, which have been associated with cardiac arrhythmia and muscular dystrophy. The pathological phenotypes observed in patients will be compared with phenotypes present in null and knockin mutations in zebrafish and mouse. A number of protein–protein interaction partners have been discovered and the potential role of POPDC proteins to control the subcellular localization and function of these interacting proteins will be discussed. Finally, we outline several areas, where research is urgently needed.

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