scholarly journals Thermal dependencies of fruit puree density

2021 ◽  
pp. 51-58
Author(s):  
V. V. Kondratenko ◽  
T. V. Fedosenko ◽  
E. A. Medvedeva ◽  
T. V. Nariniyants ◽  
L. K. Patsyuk ◽  
...  
Keyword(s):  
Temperature Coefficient ◽  
Correlation Coefficient ◽  
Reduction Rate ◽  
Pairwise Correlation ◽  
Density Reduction ◽  
Physical Density ◽  
Coefficient Corrélation ◽  
The Media ◽  
Food Media ◽  
Fruit Purée

Density is among the key properties of liquid food media, affecting homogenisation and dispersion. The work aimed to study the temperature effect on fruit puree density, determine temperature constants and grade purees by density. The study included apple, pear and cherry plum purees. Pycnometric densities were measured at 20, 30, 40 and 50ºC temperatures. Different media were shown to vary in the density reduction rate at increasing measurement temperatures. The correlation coefficient was strongly dependent on the reference (baseline) density and extremely — on temperature coefficient. Correlation dynamics modelling of elevating temperature revealed the slope vs. temperature coefficient pairwise correlation to monotonously increase starting from very high baseline values of >0.999. The relative slope vs. baseline density pairwise correlation coefficient decreased monotonously from 0.9032. It was additionally found that the media density grading is temperature-dependent. Thus, the descending series was pear–apple–cherry plum at 0–+24.68ºC, pear–cherry plum–apple at +24.68–+84.34ºC, cherry plum–pear–apple at +84.34–+174.31ºC and cherry plum–apple–pear at ≥+174.31ºC. For three study media, the number of temperature ranges inducing puree density gradients was 4. This approach to study thermal impact on the density of food fluids is generally acknowledged and can be successfully applied in the areas, where physical density and its comparative assessment are substantive.

scholarly journals Suitable Docking Protocol for the Design of Novel Coumarin Derivatives with Selective MAO-B Effects

2021 ◽  
Vol 1 (1) ◽  
pp. 40-47
Author(s):  
Emilio Viktorov Mateev ◽  
Iva Valkova ◽  
Maya Georgieva ◽  
Alexander Zlatkov
Keyword(s):  
Correlation Coefficient ◽  
Scoring Functions ◽  
Pearson’S Correlation ◽  
Chain Flexibility ◽  
Pearson’S Correlation Coefficient ◽  
Pairwise Correlation ◽  
Mao B ◽  
Docking Protocol ◽  
Pearson's Correlation ◽  
Pearson's Correlation Coefficient

Recently, the application of molecular docking is drastically increasing due to the rapid growth of resolved crystallographic receptors with co-crystallized ligands. However, the inability of docking softwares to correctly score the occurred interactions between ligands and receptors is still a relevant issue. This study examined the Pearson’s correlation coefficient between the experimental monoamine oxidase-B (MAO-B) inhibitory activity of 44 novel coumarins and the obtained GOLD 5.3 docking scores. Subsequently, optimization of the docking protocol was carried out to achieve the best possible pairwise correlation. Numerous modifications in the docking settings such as alteration in the scoring functions, size of the grid space, presence of active waters, and side-chain flexibility were conducted. Furthermore, ensemble docking simulations into two superimposed complexes were performed. The model was validated with a test set. A significant Pearson’s correlation coefficient of 0.8217 was obtained for the latter. In the final stage of our work, we observed the major interactions between the top-scored ligands and the active site of 1S3B.

A Correlation between Radiotherapy Dose on the Mediastinal Lymphoma and Cardiovascular Dose with Using Respiratory Control System

2017 ◽  
Vol 62 (5) ◽  
pp. 40-46
Author(s):  
Е. Филатова ◽  
E. Filatova ◽  
О Ламанова ◽  
O Lamanova ◽  
П. Филатов ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Respiratory Control ◽  
Threshold Level ◽  
Ascending Aorta ◽  
Reproductive Age ◽  
Breath Holding ◽  
Average Dose ◽  
Mediastinal Lymphoma ◽  
Coefficient Corrélation ◽  
Radiotherapy Dose

Purpose: To find a correlation between prescribed dose on the irradiation area and dose on heart and ascending aorta, using the "breath holding" method in classical radiotherapy course for patients with Hodgkin and non-Hodgkin mediastinal lymphomas. Material and methods: For patients of reproductive age with diagnose Hodgkin, non-Hodgkin mediastinal lymphomas we conducted radiotherapy with contouring of tumor, and critical structures, include heart and ascending aorta. Radiotherapy was conducted on breath holding (ABC) for shielding radiation dose from heart, ascending aorta and lungs. We did calculations of length and diameter of the contoured aorta and dose that it and heart took. Also, we did correlation calculation of relationship between prescribed dose on the tumor and doses cover to the heart and aorta on 6 and 10 MV nominal energies. Results: According to the protocol RTOG 1005 for the heart zone, exceeding the threshold level for V20 < 5 % occurred in 11 cases out 21, and 8 cases from them are for 10 MV energy. For V10 < 30 % it happened in nine cases from 21, and seven cases from them are for 10 MV energy too. The correlation coefficient between the prescribed dose and the received dose for protocol RTOG 1005 V10 < 30 % was 0.71 and it showed the highest value. This index is lower on 13 % for protocol RTOG 0623 (V67) – 0..58, and it has the weakest coefficient correlation (V33) – 0.45. The value of the correlation coefficient for the aorta decreased with an increase in the volume to which the prescribed dose of the irradiation area falls and, consequently a 10 and 20 % of the aorta volume is getting a maximum value from the prescribed dose. Conclusion: Our research showed what contouring of ascending aorta is obligatorily procedure, because the average dose on it was 10.73 Gy for 10 MV and 6.50 Gy for 6 MV energies. It is obvious that using 6 MV energy is more organ-preserving method of thea radiotherapy treatment when using a such techniques as ABC. It is a very important to study the issue of the permissible dose per volume of ascending aorta without critical consequences for cardiovascular system. In addition, it particularly important if we take into account that all patients had a chemotherapy course before radiation therapy which also caused cardiotoxicity.

Analysis of Raw Silk Fineness Series and the Fine Limit Point

2013 ◽  
Vol 796 ◽  
pp. 187-190
Author(s):  
Ting Ting Tao ◽  
Huan Wang ◽  
Wan Chun Fei
Keyword(s):  
Correlation Coefficient ◽  
Gravimetric Method ◽  
Cross Sectional ◽  
Auto Correlation ◽  
Section Shape ◽  
Fiber Fineness ◽  
Coefficient Corrélation ◽  
The Difference ◽  
Fine Limit ◽  
Size Series

In this thesis, the fineness and the size are measured, in order to analyze and compare them. The fineness is measured with the cross-sectional area and the size is measured with traditional gravimetric method. The section shape of raw silk is assumed be approximately elliptical, and the diameters of different grade raw silk are measured in mutual perpendicular directions with Fiber fineness instrument, which connects microscope with computer, and the shapes and diameters of raw silk can be directly watched and measured on the computer screen. Meanwhile the weights of the corresponding segments of the raw silk are weighed. The raw silk fineness series and size series are analyzed through statistic parameters such as the expectation, variance, auto-correlation coefficient, correlation coefficient. And the difference between different grades of raw silk is analyzed. The result of this study is useful for improvement of raw silk reeling process and inspection of raw silk quality.

scholarly journals Studies on some Physico-Chemical Parameters of Cyanophycean Members and Correlation Coefficient of Eutrophic Ponds in Chidambaram, Tamil Nadu, India

2014 ◽  
Vol 16 ◽  
pp. 145-156 ◽  
Author(s):  
B. Elayaraj ◽  
M. Selvaraju
Keyword(s):  
Statistical Analysis ◽  
Correlation Coefficient ◽  
Tamil Nadu ◽  
Pond Water ◽  
Chemical Parameters ◽  
Correlation Studies ◽  
Physico Chemical ◽  
Coefficient Corrélation ◽  
The Relationship

The present study deals with the statistical analysis of physico-chemical parameters and cyanophycean members of two pond water quality of Chidambaram, Cuddalore district (Tamil Nadu). The qualities of pond water were analyzed for six months. Eleven important parameters were included in statistical analysis. The qualities of pond water have been assessed by calculating mean, standard deviation and correlation coefficient. Correlation studies of hydrobiology with physico-chemical parameters revealed that the relationship between phytoplankton density in general and that of the specific groups are highly complex and often controlled by interactions of different factors. In the both pond water the correlation coefficient test revealed that cyanophycean members positively correlated with temperature, pH, CO2, alkalinity, hardness, nitrate, BOD and COD at 1 % and 5 % level significant, where as it is negatively correlated with acidity and dissolved oxygen. In the present study it can be concluded that the cyanophycean members are highly tolerant organisms. They prefer to grow at higher temperatures and in highly alkaline, BOD and COD waters. Hence they can with stand high levels of contaminated waters of Thillai Kali Kovil pond, when compared to Ilamiyakkinar Kovil pond.

scholarly journals PENGARUH MEDIA SOSIAL TERHADAP MINAT BELI ONLINE (STUDI KASUS PADA MAHASISWA STIE BIMA)

2020 ◽  
Vol 16 (2) ◽  
pp. 166-175
Author(s):  
Esti Purnamasari ◽  
Ismunandar Ismunandar
Keyword(s):  
Social Media ◽  
Correlation Coefficient ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Simple Correlation ◽  
Coefficient Corrélation ◽  
Independent Variable ◽  
Definition Of ◽  
Online Buying ◽  
Senior Students

This study aims to determine the effect of social media on online buying interest (case studies on senior students) with 50 respondents. The indicators of social media (x) consist of 2 namely trust and convenience while the indicators of buying interest (y) consist of 4 namely transactional interest, refrential interest, preferential interest and explorative interest. The definition of this study uses 2 variables: the independent variable is social media (x) and the dependent variable is online buying interest (y). The research method is an associative research using a qualitative approach consisting of questionnaire data. Data analysis techniques used in this study are validity, reliability, simple linear regression, simple correlation coefficient, correlation, coefficient of determination and using the statistical t test. The results showed that the influence of social media significantly influenced online buying interest.

scholarly journals Correlation and Regression using VASSARSTATS

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Suma AP ◽  
KP Suresh
Keyword(s):  
Correlation Coefficient ◽  
Partial Correlation ◽  
Rank Order ◽  
Correlation Coefficients ◽  
Regression Coefficients ◽  
Multiple Correlation ◽  
Population Correlation ◽  
Coefficient Corrélation ◽  
Sample Correlation ◽  
Simple Logistic

In a bivariate or a multivariate data, to understand the association between the variables Correlation is the best tool. It gives the degree of relationship between the variables. Regression gives the exact linear relationship between the variables. This article gives details of capabilities of Vassarstats Correlation and Regression and procedure to calculate Correlation coefficient and Regression coefficients with examples. Vassarstats Correlation and Regression can perform Linear Correlation and Regression, Intercorrelations, Multiple Correlation and Regression, Partial Correlation, 0.95 and 0.99 Confidence intervals for population correlation coefficient, Estimating the Population Value of rho, Significance of value of r, Significance of difference between two correlation coefficients, Significance of difference between sample correlation coefficient and hypothetical value of population Correlation coefficient, Rank Order Correlation, Correlation coefficient for a 2*2 contingency table, Point biserial correlation coefficient, Correlation for unordered pairs, and then Simple Logistic Regression.

scholarly journals TOO MANY COOKS: TRUSTING NEW VOICES IN ONLINE CULINARY ADVICE

2019 ◽  
Vol 2019 ◽  
Author(s):  
Katherine Kirkwood
Keyword(s):  
Media Literacy ◽  
Online News ◽  
Critical Media Literacy ◽  
Food Literacy ◽  
Mainstream Media ◽  
Food And Nutrition ◽  
Critical Media ◽  
Australian Case ◽  
The Media ◽  
Food Media

Digital technology is becoming increasingly enmeshed in the everyday practices of cooking and eating (see Lewis 2018; Kirkwood 2018). In negotiating the increasingly complex web of culinary information online users need to remain vigilant about the voices and perspectives they turn to for food and nutrition advice. In examining which online sources are trustworthy, this paper adds to the scholarship that highlights how the growing industrialisation of food negatively impacted food literacy (Pollan 2006; Vileisis 2008). In relation to digital food media, Lewis (2018, 214) argues that “food citizens increasingly require a critical media literacy…”. This is important considering that consumers are more likely to turn to the media than nutrition professionals for advice (Contois and Day 2018, 16). This paper builds on Lewis’ (2018) calls for greater critical media literacy Through textual analysis of online news and popular commentary, this paper examines the two Australian case studies of Australian celebrity chef Pete Evans and fraudulent wellness advocate Belle Gibson. These examples highlight risks associated with online culinary information and provide contrasting perspectives on credibility and trustworthiness. Evans leverages mainstream media exposure and experience as a chef to establish credibility for his online channels where he explores his alternative culinary views more extensively. Gibson’s reputation meanwhile was established through achieving grassroots fame online for supposedly beating cancer through shunning conventional treatments. Understanding how trustworthiness or authority is established and negotiated, and particularly how these characteristics work between legacy and online media are important in developing critical media literacy around food.

scholarly journals Dissecting random and systematic differences between noisy composite data sets

2017 ◽  
Vol 73 (4) ◽  
pp. 286-293 ◽  
Author(s):  
Kay Diederichs
Keyword(s):  
Correlation Coefficient ◽  
Unit Sphere ◽  
Dimensional Space ◽  
Scaling Analysis ◽  
Data Sets ◽  
Random Errors ◽  
Experimental Conditions ◽  
Data Set ◽  
Pairwise Correlation ◽  
Composite Data

Composite data sets measured on different objects are usually affected by random errors, but may also be influenced by systematic (genuine) differences in the objects themselves, or the experimental conditions. If the individual measurements forming each data set are quantitative and approximately normally distributed, a correlation coefficient is often used to compare data sets. However, the relations between data sets are not obvious from the matrix of pairwise correlations since the numerical value of the correlation coefficient is lowered by both random and systematic differences between the data sets. This work presents a multidimensional scaling analysis of the pairwise correlation coefficients which places data sets into a unit sphere within low-dimensional space, at a position given by their CC* values [as defined by Karplus & Diederichs (2012),Science,336, 1030–1033] in the radial direction and by their systematic differences in one or more angular directions. This dimensionality reduction can not only be used for classification purposes, but also to derive data-set relations on a continuous scale. Projecting the arrangement of data sets onto the subspace spanned by systematic differences (the surface of a unit sphere) allows, irrespective of the random-error levels, the identification of clusters of closely related data sets. The method gains power with increasing numbers of data sets. It is illustrated with an example from low signal-to-noise ratio image processing, and an application in macromolecular crystallography is shown, but the approach is completely general and thus should be widely applicable.

Sign in / Sign up

Export Citation Format

Share Document