scholarly journals Development of a method for rapid evaluation of the color of flour and pasta made from wheat of different species

2020 ◽  
Vol 16 (4) ◽  
Author(s):  
Л. А. Вечерська ◽  
О. В. Голік ◽  
Л. І. Реліна ◽  
Л. І. Буряк ◽  
Т. А. Шелякіна
Keyword(s):  
Evaluation System ◽  
B Value ◽  
High Accuracy ◽  
Carotenoid Content ◽  
Oxidation Reactions ◽  
Color Selection ◽  
System L ◽  
Adobe Photoshop ◽  
Flour Color ◽  
Visual Assessments

Purpose. Develop a simplified method for estimating the color of flour and pasta using Adobe Photo Shop® software.Methods. The research material was grain of varieties and selection lines of wheat species Triticum durum, T. dicoccum, T. timopheevii bred in the Рlant Production Institute nd. a. V. Ya. Yuryev and samples of the National Center for Genetic Resources of Plants of Ukraine, 2018–2020 harvest. Batch of flour and pieces of dough were scanned using EPSON Scanner 010 F. Color was evaluated using Adobe PhotoShop®. The level of carotenoids was determined by spectrophotometric method.Results. Visual assessments of flour and pasta color, presented by different researchers, differ significantly (up to 2–3 points on a 9-point scale). At the same time, the use of the developed method of express color evaluation of flour and pasta samples in Adobe PhotoShop® with the color evaluation system L*a*b*, used in modern reflectometers, allows to obtain data in numerical value and provides high accuracy. In the case of the developed me­thod, correlations were established between the content of carotenoids and the index b* of flour (r = 0.41 / ≤ 0.05) and pasta (r = 0.60 / p ≤ 0.001) and allowed to select the best in flour color selection lines 10-56, 10-65, 14-153, sample T. durum var. falcatomelanopus, in pasta color – lines 10-56, 10-65, 11-29, 12-3.Conclusions. The developed method provides high accuracy and can be used to evaluate the color of pasta and wheat flour, simplifies the evaluation of test samples, standardizes the parameters of agricultural products and avoids subjective judgment. The established weak correlation between the carotenoid content and the b* value of flour indicates the effect on the color of flour not only orange but also yellow and red pigments, and the ave­rage correlation between the carotenoid content and the b* value of pasta indicates the influence of the products of polyphenols oxidation reactions of wheat grain. The best in color flour and pasta lines were selected for breeding work to increase the content of carotenoid pigments in grain.

Fabric Sewability Prediction with Kernel PCA Based on SFC-RBFNN

2011 ◽  
Vol 332-334 ◽  
pp. 1143-1153
Author(s):  
Yong Hui Pan ◽  
Fang Bao ◽  
Mao Gang Wu
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Fuzzy Clustering ◽  
Basis Function ◽  
Evaluation System ◽  
High Accuracy ◽  
Kernel Pca ◽  
Prediction System ◽  
Woolen Fabric ◽  
Seam Pucker

By extracting five kernel principal components of fabric FAST (Fabric Assurance by Simple Testing) low mechanical data, this paper proposed a supervised fuzzy clustering radial basis function neural network to construct fabric sewability prediction system. Our experimental results demonstrate that the proposed system could efficiently be used as an objective seam pucker evaluation system with high accuracy and is robust for various structures and mechanical properties of middle-thickness woolen fabric.

scholarly journals CANcer-specific Evaluation System (CANES): a high-accuracy platform, for preclinical single/multi-biomarker discovery

Oncotarget ◽  
2017 ◽  
Vol 8 (41) ◽  
pp. 69808-69822
Author(s):  
Min-Seok Kwon ◽  
Seungyoon Nam ◽  
Sungyoung Lee ◽  
Young Zoo Ahn ◽  
Hae Ryung Chang ◽  
...  
Keyword(s):  
Evaluation System ◽  
Biomarker Discovery ◽  
High Accuracy ◽  
Specific Evaluation

scholarly journals A Fall and Near-Fall Assessment and Evaluation System

2009 ◽  
Vol 3 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Anh Dinh ◽  
Yang Shi ◽  
Daniel Teng ◽  
Amitoz Ralhan ◽  
Li Chen ◽  
...  
Keyword(s):  
Evaluation System ◽  
Model Building ◽  
Fall Detection ◽  
High Accuracy ◽  
Ease Of Use ◽  
Machine Learning Algorithms ◽  
Wireless Sensor ◽  
Assessment And Evaluation ◽  
Near Falls ◽  
Bayes Algorithm

The FANFARE (Falls And Near Falls Assessment Research and Evaluation) project has developed a system to fulfill the need for a wearable device to collect data for fall and near-falls analysis. The system consists of a computer and a wireless sensor network to measure, display, and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power are considered in the design. The system was built and tested successfully. Different machine learning algorithms were applied to the stored data for fall and near-fall evaluation. Results indicate that the Naïve Bayes algorithm is the best choice, due to its fast model building and high accuracy in fall detection.

scholarly journals Comparative Assessment of Fertilizers on Yield and Quality of Marigold (Tagetes erecta L.)

2020 ◽  
Author(s):  
C. Sonklien ◽  
P. Intanon ◽  
S. Terapongtanakorn ◽  
R. Intanon
Keyword(s):  
Block Design ◽  
Organic Fertilizer ◽  
B Value ◽  
Carotenoid Content ◽  
Npk Fertilizers ◽  
Yield And Quality ◽  
Flower Yield ◽  
Hue Angle ◽  
Phosphorus And Potassium ◽  
Tagetes Erecta L

Different types of fertilization strategies were investigated on marigold (Golden King F1) in a randomized complete block design (RCBD) with four replications at Thailand. The treatments were composed of chemical and granular organic fertilizer with hormone mixed formula (HO) and two NPK fertilizers. From the results, flower size (6.22 cm), flower yield/plot (16.05 kg) and flower yield/ha (16053.19 kg) were highest in the chemical and granular organic fertilizer with hormone mixed formula C (T15). Flower shelf-life was more prolonged in T15 (8.58 g) after 72 hr of harvest. Carotenoid content, hue angle and B value were also highest in T15 (114.32 mg/100g fresh weight, 86.80o and 121.44), respectively. Also, the nitrogen, phosphorus and potassium contents in the plants were maximum in T15 (0.15%, 0.48% and 2.38%), respectively. The treatment T15 produced the greatest yield due to its high balance nutrients and is recommended for commercial marigold production.

Theoretical and experimental investigations on the effects of friction, bending rigidity, extensibility, and Poisson's ratio on fabric tensile properties

2020 ◽  
pp. 004051752094945
Author(s):  
Yi Sun ◽  
Dongming Zheng ◽  
Gui Liu ◽  
Zhaoqun Du ◽  
Zou Haochen ◽  
...  
Keyword(s):  
Tensile Properties ◽  
Power Law ◽  
Evaluation System ◽  
Surface Friction ◽  
High Accuracy ◽  
Radius Ratio ◽  
Experimental Investigations ◽  
Bending Rigidity ◽  
Practical Application ◽  
Runge Kutta Method

A three-point tensile model that consists of a noncontact model and a modified capstan model of contact sections, including coupling effects of factors, is established in this study. The tension ratio calculated using the Runge–Kutta method increases along with the extensibility, surface friction coefficient, and radius ratio and is inhibited by the power-law friction ([Formula: see text]). Moreover, the theoretical model in a case with all the factors and frictional modification shows high accuracy with the actual test of the quick-intelligent handling evaluation system, and the Poisson's effect can be negligible, especially with the power-law friction. It has been confirmed that greater surface roughness and thickness (lower radius ratio) with worse extensibility result in tighter fabric tensile properties. Therefore, this work can provide theoretical guidance for the measurement of fabric tensile properties and the evaluation of practical application of fabrics.

scholarly journals Potential of Fractal Analysis of Earthquakes through Wavelet Analysis and Determination of b Value as an Aftershock Precursor: A Case Study Using Earthquake Data between 2003 and 2011 in Turkey

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
V. Srivardhan ◽  
Uppala Srinu
Keyword(s):  
Fractal Dimension ◽  
Wavelet Analysis ◽  
Fractal Analysis ◽  
B Value ◽  
High Accuracy ◽  
Elegant Method ◽  
Stress Accumulation ◽  
Earthquake Data

The b value of earthquakes is very useful to forecast the occurrence of aftershocks in a given region. The b value characterizes the release of energy due to stress accumulation in the rocks through an earthquake and is a direct indicator for the prediction of aftershocks in the region. Wavelet based fractal analysis is used in this study to determine the b value by calculating the fractal dimension. This method guarantees high accuracy results through a limited dataset. The objective of this work was to demonstrate an elegant method for the determination of the b value after an earthquake and predict the occurrence of aftershocks with high accuracy. Repeated earthquakes were analyzed between 2003 and 2011 in Turkey and the b value was found for these earthquakes. The results gave an indication that the b value of the mainshock and its aftershocks are different and aftershocks occur in the region when the b value of the mainshock deviates significantly from 0.5, and aftershocks keep occurring until the b value of the earthquake approaches close to 0.5 for this region.

scholarly journals European Database of Carotenoid Levels in Foods. Factors Affecting Carotenoid Content

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 912
Author(s):  
M. Graça Dias ◽  
Grethe Iren A. Borge ◽  
Kristina Kljak ◽  
Anamarija I. Mandić ◽  
Paula Mapelli-Brahm ◽  
...  
Keyword(s):  
Data Quality ◽  
Human Health ◽  
Evaluation System ◽  
Analytical Data ◽  
Food Composition ◽  
Carotenoid Content ◽  
Factors Affecting ◽  
Positive Effects ◽  
Food Composition Tables ◽  
Total Data

Many studies indicate that diets including carotenoid-rich foods have positive effects on human health. Some of these compounds are precursors of the essential nutrient vitamin A. The present work is aimed at implementing a database of carotenoid contents of foods available in the European market. Factors affecting carotenoid content were also discussed. Analytical data available in peer-reviewed scientific literature from 1990 to 2018 and obtained by HPLC/UHPLC were considered. The database includes foods classified according to the FoodEx2 system and will benefit compilers, nutritionists and other professionals in areas related to food and human health. The results show the importance of food characterization to ensure its intercomparability, as large variations in carotenoid levels are observed between species and among varieties/cultivars/landraces. This highlights the significance of integrating nutritional criteria into agricultural choices and of promoting biodiversity. The uncertainty quantification associated with the measurements of the carotenoid content was very rarely evaluated in the literature consulted. According to the EuroFIR data quality evaluation system for food composition tables, the total data quality index mean was 24 in 35, reflecting efforts by researchers in the analytical methods, and less resources in the sampling plan documentation.

A New 1,000 kV Electron Microscope

1967 ◽  
Vol 25 ◽  
pp. 260-261
Author(s):  
M. Nishigaki ◽  
S. Katagiri ◽  
H. Kimura ◽  
B. Tadano
Keyword(s):  
Electron Microscope ◽  
High Voltage ◽  
Basic Research ◽  
Chromatic Aberration ◽  
High Accuracy ◽  
Biological Specimen ◽  
Voltage Electron ◽  
High Voltage Electron Microscope ◽  
High Voltage Electron

The high voltage electron microscope has many advantageous features in comparison with the ordinary electron microscope. They are a higher penetrating efficiency of the electron, low chromatic aberration, high accuracy of the selected area diffraction and so on. Thus, the high voltage electron microscope becomes an indispensable instrument for the metallurgical, polymer and biological specimen studies. The application of the instrument involves today not only basic research but routine survey in the various fields. Particularly for the latter purpose, the performance, maintenance and reliability of the microscope should be same as those of commercial ones. The authors completed a 500 kV electron microscope in 1964 and a 1,000 kV one in 1966 taking these points into consideration. The construction of our 1,000 kV electron microscope is described below.

A proposed method for assessing the quality of sealants - the CCC Sealant Evaluation System

2001 ◽  
Vol 29 (2) ◽  
pp. 83-91 ◽  
Author(s):  
Christopher Deery ◽  
Hazel E. Fyffe ◽  
Zoann J. Nugent ◽  
Nigel M. Nuttall ◽  
Nigel B. Pitts
Keyword(s):  
Evaluation System
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