Detection of citrus psorosis virus by RT‐qPCR validated by diagnostic parameters

2021 ◽  
Author(s):  
Melina Simeone ◽  
Claudio Gómez ◽  
Ana Bertalmío ◽  
Esperanza Ruiz ◽  
Claudia Hauteville ◽  
...  
Keyword(s):  
Diagnostic Parameters ◽  
Citrus Psorosis Virus

Resistance to Citrus psorosis virus in transgenic sweet orange plants is triggered by coat protein–RNA silencing

2011 ◽  
Vol 151 (1) ◽  
pp. 151-158 ◽  
Author(s):  
Carina Andrea Reyes ◽  
Agustina De Francesco ◽  
Eduardo José Peña ◽  
Norma Costa ◽  
María Inés Plata ◽  
...  
Keyword(s):  
Coat Protein ◽  
Rna Silencing ◽  
Sweet Orange ◽  
Citrus Psorosis Virus

scholarly journals Method of reduction of diagnostic parameters during observation on the example of a combustion engine

2017 ◽  
Vol 118 ◽  
pp. 00034 ◽  
Author(s):  
Malgorzata Orczyk ◽  
Franciszek Tomaszewski
Keyword(s):  
Combustion Engine ◽  
Diagnostic Parameters

Diagnostic Parameters in Liquid-Based Cervical Cytology Using a Coagulant Suspension Fixative

2005 ◽  
Vol 49 (5) ◽  
pp. 513-519 ◽  
Author(s):  
Mathilde E. Boon ◽  
Elisabeth Ouwerkerk-Noordam ◽  
Albert J. H. Suurmeijer ◽  
Lambrecht P. Kok
Keyword(s):  
Cervical Cytology ◽  
Diagnostic Parameters

scholarly journals Selection of informing aggregates of diagnostic parameters in tasks of image recognition

2001 ◽  
Vol 7 (1s) ◽  
pp. 43-47
Author(s):  
V.D. Pavlenko ◽  
◽  
A.A. Fomin ◽  
Keyword(s):  
Image Recognition ◽  
Diagnostic Parameters ◽  
Selection Of

scholarly journals On Designing an Expert Diagnostic System of the Aircraft Turbine Engine Functional Units

2020 ◽  
Vol 50 (1) ◽  
pp. 171-192
Author(s):  
Henryk Borowczyk ◽  
Jarosław Spychała
Keyword(s):  
Dynamic Models ◽  
Diagnostic System ◽  
Compact Representation ◽  
Diagnostic Model ◽  
Diagnostic Systems ◽  
Turbine Engine ◽  
Flight Data ◽  
Diagnostic Parameters ◽  
Functional Units ◽  
The Relationship

AbstractThe paper presents issues related to the design of an expert diagnostic system of turbine engine functional units. Dedicated diagnostic stations and on-board flight data recorders are the sources of diagnostic signals. The signals were parameterized or identified dynamic models to get a compact representation in the form of a set of parameters. The set of diagnostic parameters was subjected to integer encoding. On this basis, a multi-valued diagnostic model describing the relationship between the set of faults and the set of symptoms (code values of diagnostic parameters) was determined. The proposed approach can be used in the design of expert diagnostic systems for propulsion units of any aircraft.

scholarly journals Definition of Set of diagnostic Parameters of System based on the Functional Spaces Theory

2019 ◽  
Vol 18 (4) ◽  
pp. 949-975 ◽  
Author(s):  
Valentin Senchenkov ◽  
Damir Absalyamov ◽  
Dmitriy Avsyukevich
Keyword(s):  
Fourier Series ◽  
Experimental Studies ◽  
Numerical Procedure ◽  
Physical Nature ◽  
Convergent Series ◽  
Technical Condition ◽  
Partial Sums ◽  
Diagnostic Tools ◽  
Diagnostic Parameters ◽  
Integrable Functions

The development of methodical and mathematical apparatus for formation of a set of diagnostic parameters of complex technical systems, the content of which consists of processing the trajectories of the output processes of the system using the theory of functional spaces, is  considered in this paper. The trajectories of the output variables are considered as Lebesgue measurable functions. It ensures a unified approach to obtaining diagnostic parameters regardless  a physical nature of these variables and a set of their jump-like changes (finite discontinuities of trajectories). It adequately takes into account a complexity of the construction, a variety of physical principles and algorithms of systems operation. A structure of factor-spaces of measurable square Lebesgue integrable functions, ( spaces) is defined on sets of trajectories. The properties of these spaces allow to decompose the trajectories by the countable set of mutually orthogonal directions and represent them in the form of a convergent series. The choice of a set of diagnostic parameters as an ordered sequence of coefficients of decomposition of trajectories into partial sums of Fourier series is substantiated. The procedure of formation of a set of diagnostic parameters of the system, improved in comparison with the initial variants, when the trajectory is decomposed into a partial sum of Fourier series by an orthonormal Legendre basis, is presented. A method for the numerical determination of the power of such a set is proposed. New aspects of obtaining diagnostic information from the vibration processes of the system are revealed. A structure of spaces of continuous square Riemann integrable functions ( spaces) is defined on the sets of vibrotrajectories. Since they are subspaces in the afore mentioned factor-spaces, the general methodological bases for the transformation of vibrotrajectories remain unchanged. However, the algorithmic component of the choice of diagnostic parameters becomes more specific and observable. It is demonstrated by implementing a numerical procedure for decomposing vibrotrajectories by an orthogonal trigonometric basis, which is contained in spaces. The processing of the results of experimental studies of the vibration process and the setting on this basis of a subset of diagnostic parameters in one of the control points of the system is provided. The materials of the article are a contribution to the theory of obtaining information about the technical condition of complex systems. The applied value of the proposed development is a possibility of their use for the synthesis of algorithmic support of automated diagnostic tools.

scholarly journals Twenty-Three Citrus Psorosis Virus Isolates of Different Origin Detected by RT-PCR Using Primers Designed from Sequences of the Isolate CRSV-4 from Florida

2000 ◽  
Vol 14 (14) ◽  
Author(s):  
G. Legarreta ◽  
M. L. Garcia ◽  
N. Costa ◽  
M. E. S. de la torre ◽  
P. Moreno ◽  
...  
Keyword(s):  
Rt Pcr ◽  
Citrus Psorosis Virus ◽  
Virus Isolates ◽  
Different Origin
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