PERSPECTIVE POSSIBILITIES OF USING CUSTOMS PROCESSING PROCEDURE IN THE CUSTOMS TERRITORY AS A FACTOR IN THE DEVELOPMENT OF RUSSIAN EXPORTS

2020 ◽  
Vol 6 (85) ◽  
pp. 37-47
Author(s):  
R.P. Meshechkina ◽  
◽  
A.S. Vysochinenko ◽  
Keyword(s):  
Processing Procedure

TEM processing procedure for a bacillus organism grown on solid media

1990 ◽  
Vol 48 (3) ◽  
pp. 624-625
Author(s):  
Jane Payne ◽  
Philip Coudron
Keyword(s):  
Electron Microscopy ◽  
Room Temperature ◽  
Fume Hood ◽  
Vacuum Aspiration ◽  
Solid Media ◽  
Transmission Electron ◽  
Solid Agar ◽  
Processing Procedure ◽  
Agar Media ◽  
Rat Bone

This transmission electron microscopy (TEM) procedure was designed to examine a gram positive spore-forming bacillus in colony on various solid agar media with minimal artifact. Cellular morphology and organization of colonies embedded in Poly/Bed 812 resin (P/B) were studied. It is a modification of procedures used for undecalcified rat bone and Stomatococcus mucilaginosus.Cultures were fixed and processed at room temperature (RT) under a fume hood. Solutions were added with a Pasteur pipet and removed by gentle vacuum aspiration. Other equipment used is shown in Figure 3. Cultures were fixed for 17-18 h in 10-20 ml of RT 2% phosphate buffered glutaraldehyde (422 mosm/KgH2O) within 5 m after removal from the incubator. After 3 (30 m) changes in 0.15 M phosphate buffer (PB = 209-213 mosm/KgH2O, pH 7.39-7.41), colony cut-outs (CCO) were made with a scalpel.

Pre-Processing of Hyperspectral Images Using Nonlinear Filters

2013 ◽  
Vol 11 (1) ◽  
pp. 8-13
Author(s):  
V. Behar ◽  
V. Bogdanova
Keyword(s):  
Signal To Noise Ratio ◽  
Correlation Coefficients ◽  
Hyperspectral Images ◽  
Spectral Correlation ◽  
Edge Preserving ◽  
Improvement Factor ◽  
Filter Output ◽  
Average Improvement ◽  
Processing Procedure

Abstract In this paper the use of a set of nonlinear edge-preserving filters is proposed as a pre-processing stage with the purpose to improve the quality of hyperspectral images before object detection. The capability of each nonlinear filter to improve images, corrupted by spatially and spectrally correlated Gaussian noise, is evaluated in terms of the average Improvement factor in the Peak Signal to Noise Ratio (IPSNR), estimated at the filter output. The simulation results demonstrate that this pre-processing procedure is efficient only in case the spatial and spectral correlation coefficients of noise do not exceed the value of 0.6

scholarly journals A Method to Correct the Thermal Dome Effect of Pyranometers in Selected Historical Solar Irradiance Measurements

2007 ◽  
Vol 24 (3) ◽  
pp. 529-536 ◽  
Author(s):  
Qiang Ji
Keyword(s):  
Data Processing ◽  
Thermal Effect ◽  
Case Studies ◽  
Solar Irradiance ◽  
Research Initiative ◽  
Processing Procedure ◽  
Field Campaigns ◽  
Sky Conditions ◽  
Data Processing Procedure

Abstract In using pyranometers to measure solar irradiance, it is important to know the magnitudes and the consequences of the thermal effect, which is introduced by the glass domes of the instruments. Historically, the thermal dome effect was not monitored on a regular basis. Case studies show that, due to the thermal dome effect, the output of the pyranometers altered from less than 5 W m−2 in the nighttime to over 20 W m−2 around noontime during the Aerosol Recirculation and Rainfall Experiment (ARREX) in 1999 and the Southern African Fire–Atmosphere Research Initiative (SAFARI) in 2000 field campaigns, depending on sky conditions. A calibration and data processing procedure with the thermal dome effect incorporated has been tested to resolve the issue. It is demonstrated that the intrinsic calibration constants of the pyranometers can be obtained if two pyranometers are used side by side, and the thermal dome effect may be inferred whenever a pyranometer and a pyrgeometer are collocated.

scholarly journals Optimization of Virtual Shack-Hartmann Wavefront Sensing

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4698
Author(s):  
Xian Yue ◽  
Yaliang Yang ◽  
Fei Xiao ◽  
Hao Dai ◽  
Chao Geng ◽  
...  
Keyword(s):  
Optimization Methods ◽  
Wavefront Sensing ◽  
Noise Performance ◽  
Zero Padding ◽  
Ocular Aberrations ◽  
Processing Procedure ◽  
Wavefront Error ◽  
Before And After ◽  
Calculation Algorithms ◽  
Normal Human

Virtual Shack–Hartmann wavefront sensing (vSHWS) can flexibly adjust parameters to meet different requirements without changing the system, and it is a promising means for aberration measurement. However, how to optimize its parameters to achieve the best performance is rarely discussed. In this work, the data processing procedure and methods of vSHWS were demonstrated by using a set of normal human ocular aberrations as an example. The shapes (round and square) of a virtual lenslet, the zero-padding of the sub-aperture electric field, sub-aperture number, as well as the sequences (before and after diffraction calculation), algorithms, and interval of data interpolation, were analyzed to find the optimal configuration. The effect of the above optimizations on its anti-noise performance was also studied. The Zernike coefficient errors and the root mean square of the wavefront error between the reconstructed and preset wavefronts were used for performance evaluation. The performance of the optimized vSHWS could be significantly improved compared to that of a non-optimized one, which was also verified with 20 sets of clinical human ocular aberrations. This work makes the vSHWS’s implementation clearer, and the optimization methods and the obtained results are of great significance for its applications.

Effect of processing procedure on the formation of resistant starch in tamales

2016 ◽  
Vol 68 (11-12) ◽  
pp. 1121-1128 ◽  
Author(s):  
Juan de Dios Figueroa-Cárdenas ◽  
José Juan Véles-Medina ◽  
Anaid Michelle Esquivel-Martínez ◽  
Rosa María Mariscal-Moreno ◽  
David Santiago-Ramos ◽  
...  
Keyword(s):  
Resistant Starch ◽  
Processing Procedure

scholarly journals A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive

2020 ◽  
Author(s):  
Hisao Ishibuchi ◽  
Lie Meng Pang ◽  
Ke Shang
Keyword(s):  
Pareto Front ◽  
Algorithm Design ◽  
Future Research ◽  
Multi Objective ◽  
Final Population ◽  
External Archive ◽  
Processing Procedure ◽  
Distributed Solutions ◽  
New Framework ◽  
Main Characteristic Feature

This paper proposes a new framework for the design of evolutionary multi-objective optimization (EMO) algorithms. The main characteristic feature of the proposed framework is that the optimization result of an EMO algorithm is not the final population but a subset of the examined solutions during its execution. As a post-processing procedure, a pre-specified number of solutions are selected from an unbounded external archive where all the examined solutions are stored. In the proposed framework, the final population does not have to be a good solution set. The point of the algorithm design is to examine a wide variety of solutions over the entire Pareto front and to select well-distributed solutions from the archive. In this paper, first we explain difficulties in the design of EMO algorithms in the existing two frameworks: non-elitist and elitist. Next, we propose the new framework of EMO algorithms. Then we demonstrate advantages of the proposed framework over the existing ones through computational experiments. Finally we suggest some interesting and promising future research topics.

scholarly journals Automatic instance segmentation of mitochondria in electron microscopy data

2021 ◽  
Author(s):  
Luke Nightingale ◽  
Joost de Folter ◽  
Helen Spiers ◽  
Amy Strange ◽  
Lucy M Collinson ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Large Scale ◽  
Machine Learning Algorithms ◽  
Public Repository ◽  
Post Processing ◽  
Human Cortex ◽  
Electron Microscopy Data ◽  
Processing Procedure ◽  
Microscopy Data ◽  
Instance Segmentation

We present a new method for rapid, automated, large-scale 3D mitochondria instance segmentation, developed in response to the ISBI 2021 MitoEM Challenge. In brief, we trained separate machine learning algorithms to predict (1) mitochondria areas and (2) mitochondria boundaries in image volumes acquired from both rat and human cortex with multi-beam scanning electron microscopy. The predictions from these algorithms were combined in a multi-step post-processing procedure, that resulted in high semantic and instance segmentation performance. All code is provided via a public repository.

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