Tomato, an extensively cultivated edible crop is prone to many viral pathogens. Among them, bud necrosis incited by Groundnut bud necrosis orthotospovirus (GBNV) causes huge yield loss (80-100%). Out of all known stra...
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Tomato, an extensively cultivated edible crop is prone to many viral pathogens. Among them, bud necrosis incited by Groundnut bud necrosis orthotospovirus (GBNV) causes huge yield loss (80-100%). Out of all known strategies for viral disease management in plants, RNA interference (RNAi) mediated approaches have greater potential in managing viral diseases. Small RNAs especially microRNA (miRNA) play a major role in RNAimediated defense in plants. Using in silico analysis, we have identified the possible tomato encoded miRNA that have the potential to interact with GBNV-mRNA. The results revealed that, sly-MIR9479-3p, sly-MIR10529, sly-MIR397-5p, sly-MIR10528, sly-MIR477-3p, and sly-MIR6024 predicted by the computational algorithms viz., miRanda, psRNA target, RNA22 and RNA hybrid have the potential to interact with different GBNV-ORFs. Conserved complementary sequences of sly-MIR10529 and sly-MIR6024, targeting GBNV genome regions (ORF2 and ORF5), were confirmed in multiple GBNV isolates. The expression of Sly-miR-10529 (1.72-fold increase),Sly-miR-6024 (2.83-fold decrease) and their corresponding glycoprotein and coat protein gene expression were quantified through q-RT-PCR. These predicted miRNAs can offer useful information for the production of antiviral agents/RNAi mediated transgenic crop plants against GBNV in tomato.
Very often, in the course of uncertainty quantification tasks or data analysis, one has to deal with high-dimensional random variables. Here the interest is mainly to compute characterizations like the entropy, the Ku...
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Very often, in the course of uncertainty quantification tasks or data analysis, one has to deal with high-dimensional random variables. Here the interest is mainly to compute characterizations like the entropy, the Kullback-Leibler divergence, more general f-divergences, or other such characteristics based on the probability density. The density is often not available directly, and it is a computational challenge to just represent it in a numerically feasible fashion in case the dimension is even moderately large. It is an even stronger numerical challenge to then actually compute said characteristics in the high-dimensional case. In this regard it is proposed to approximate the discretized density in a compressed form, in particular by a low-rank tensor. This can alternatively be obtained from the corresponding probability characteristic function, or more general representations of the underlying random variable. The mentioned characterizations need point-wise functions like the logarithm. This normally rather trivial task becomes computationally difficult when the density is approximated in a compressed resp. low-rank tensor format, as the point values are not directly accessible. The computations become possible by considering the compressed data as an element of an associative, commutative algebra with an inner product, and using matrix algorithms to accomplish the mentioned tasks. The representation as a low-rank element of a high order tensor space allows to reduce the computational complexity and storage cost from exponential in the dimension to almost linear.
A piecewise Chebyshevian spline space is good for design when it possesses a B-spline basis and this property is preserved under knot insertion. The interest in such kind of spaces is justified by the fact that, simil...
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A piecewise Chebyshevian spline space is good for design when it possesses a B-spline basis and this property is preserved under knot insertion. The interest in such kind of spaces is justified by the fact that, similarly as for polynomial splines, the related parametric curves exhibit the desired properties of convex hull inclusion, variation diminution and intuitive relation between the curve shape and the location of the control points. For a good-for-design space, in this paper we construct a set of functions, called transition functions, which allow for efficient computation of the B-spline basis, even in the case of nonuniform and multiple knots. Moreover, we show how the spline coefficients of the representations associated with a refined knot partition and with a raised order can conveniently be expressed by means of transition functions. This result allows us to provide effective procedures that generalize the classical knot insertion and degree raising algorithms for polynomial splines. We further discuss how the approach can straightforwardly be generalized to deal with geometrically continuous piecewise Chebyshevian splines as well as with splines having section spaces of different dimensions. From a numerical point of view, we show that the proposed evaluation method is easier to implement and has higher accuracy than other existing algorithms. (c) 2021 Elsevier B.V. All rights reserved.
New integral equations are proposed to determine first-passage-time densities for timeinhomogeneous birth-death processes. Such equations, particularly suitable for computational purposes, are also used to obtain clos...
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New integral equations are proposed to determine first-passage-time densities for timeinhomogeneous birth-death processes. Such equations, particularly suitable for computational purposes, are also used to obtain closed-form expressions for the first-passage-time densities of special birth-death processes of interest in various application fields.(c) 2022 Elsevier Inc. All rights reserved.
The paper provides an overview of the scientific achievements of K.I. Babenko, Corresponding Member of Academy of Sciences of the USSR, in the field of mechanics and applied mathematics, including numerical studies of...
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The paper provides an overview of the scientific achievements of K.I. Babenko, Corresponding Member of Academy of Sciences of the USSR, in the field of mechanics and applied mathematics, including numerical studies of ideal gas flows around a body, investigation of viscous fluid flows, and research in the field of computational mathematics. A characteristic feature of these works is the combination of deep analytical methods and tools and numerical solutions of specific problems.
Human attribution of absorption onset wavelength (lambda(onset)) most often produces small, but non-negligible errors in the attribution of this value tied to the optical energy gap. The present work utilizes a free a...
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Human attribution of absorption onset wavelength (lambda(onset)) most often produces small, but non-negligible errors in the attribution of this value tied to the optical energy gap. The present work utilizes a free and freely available computer program ("0nset") developed herein to determine the inflection point and subsequent x-intercept defining lambda(onset). The manually attributed absorption curve lambda(onse) wavelengths are typically in error to the red (in 27 out of 38 attributions) for the dataset utilized in the present work when a rigorous manual analysis was performed implying a systematic human error. The raw (- 2 nm) and absolute (3 nm) errors are relatively small, but there are exceptions when the errors are even larger than 20 nm. The numerically computed results from 0nset are independent of application bias and will reduce errors moving forward by consistently generating lambda(onse) values from the same algorithm. Additionally, it will reduce errors in circumstances where the inflection points are difficult to isolate or in regions like the UV where similar to 5-10 nm errors are more significant energetically. Finally, 0nset only *** inputs and is built for both Windows and Unix-based operating systems making uptake and usage straightforward for experimental groups. (c) 2021 Elsevier Ltd. All rights reserved.
computational microscopy algorithms can be used to improve resolution by synthesizing a bigger numerical aperture. Fourier Ptychographic (FP) microscopy utilizes multiple exposures, each illuminated with a unique inci...
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ISBN:
(纸本)9781728185798
computational microscopy algorithms can be used to improve resolution by synthesizing a bigger numerical aperture. Fourier Ptychographic (FP) microscopy utilizes multiple exposures, each illuminated with a unique incidence angle coherent source. The recorded images are often corrupted with background noises and preprocessing improves the quality of the FP recovered image. The preprocessing involves data denoising, thresholding and intensity balancing. We propose a wavelet-based thresholding scheme for noise removal. Any image can be decomposed into its coarse approximation, horizontal details, vertical details, and diagonal details using suitable wavelets. The details are extracted to find a suitable threshold, which is used to perform thresholding. In the proposed algorithm, two wavelet families, Daubechies and Biorthogonal with compact support of db4, db30, bior2.2 and bior6.8, have been used in conjunction with ptychographic phase retrieval. The obtained results show that the wavelet-based thresholding significantly improves the quality of the reconstructed FP microscopy image.
On the example of an orthotropic shell, the problems of the dynamics of thin-walled structures under aerodynamic loading are studied, taking into account the viscoelastic properties of material and geometric nonlinear...
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On the example of an orthotropic shell, the problems of the dynamics of thin-walled structures under aerodynamic loading are studied, taking into account the viscoelastic properties of material and geometric nonlinearity. The aerodynamic pressure is determined using the AA. llyushin's piston theory. Equations of motion relative to displacements are described by a system of integro-differential equations in partial derivatives. Using the Bubnov-Galerkin method, based on the polynomial approximation of deflections, the problem is reduced to a system of ordinary integro-differential equations, where time is an independent variable. Solutions of integro-differential equations are determined by a numerical method based on the elimination of the singularity in the relaxation kernel of the integral operator. computational algorithms and applied programs have been developed to solve the problems on the nonlinear flutter for viscoelastic elements of an aircraft. The critical flutter speed for the viscoelastic orthotropic cylindrical shells is determined. It is established that an account of viscoelastic properties of shell material leads to a decrease in the critical flutter. (C) 2018 Elsevier Masson SAS. All rights reserved.
The dynamic properties of automatic control systems are equally determined by the properties of the control object and the automatic controller. In this regard, when designing automation systems, the choice of a regul...
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ISBN:
(纸本)9781728103396
The dynamic properties of automatic control systems are equally determined by the properties of the control object and the automatic controller. In this regard, when designing automation systems, the choice of a regulator should be made taking into account the properties of the controlled object and the required indicators of regulatory quality. The approach to the synthesis of digital linear regulators based on discrete-time models is considered. The analysis of the quality control of a dynamic object, depending on the law of regulation. The features of the implementation of computational algorithms for discrete Proportional-Integrated-Differential laws are shown.
In this paper the authors address the topic of the medium voltage electrical systems with the neutral treated, which consists in the neutral grounding by means of a compensation coil. Thus, the main computational aspe...
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ISBN:
(纸本)9781728114132
In this paper the authors address the topic of the medium voltage electrical systems with the neutral treated, which consists in the neutral grounding by means of a compensation coil. Thus, the main computational aspects that arise in the case of medium voltage networks having the neutral treated by means of compensating coils are summarized. In this regard, three case studies for 35 kV and 20 kV overhead power lines and respectively 6 kV electric cable lines with neutral compensated by means of compensating coils have been studied. A number of parameters were calculated and the obtained values were interpreted, among which the currents: capacitive earthing;through the compensation coil;earthing;the power absorbed by the coil;unbalance network;uncompensated / compensated network amortization coefficients;the displacement of the neutral point, considering the earthing net or by an arc with a certain resistance value;the power of the special transformer required to create an artificial neutral on the 6 kV side of the electrical system consisting in the cable network, etc. For this purpose, the authors have compiled computational algorithms and also made graphical representations of the various calculated parameters using their own design programs developed in the Mathcad programming environment.
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