scholarly journals Large-scale neural model validation of partial correlation analysis for effective connectivity investigation in functional MRI

2009 ◽  
Vol 30 (3) ◽  
pp. 941-950 ◽  
Author(s):  
G. Marrelec ◽  
J. Kim ◽  
J. Doyon ◽  
B. Horwitz
Keyword(s):  
Correlation Analysis ◽  
Functional Mri ◽  
Model Validation ◽  
Large Scale ◽  
Partial Correlation ◽  
Effective Connectivity ◽  
Neural Model ◽  
Partial Correlation Analysis

scholarly journals Correlating Capsaicinoid Levels and Physicochemical Proper-ties of Kimchi and Its Perceived Spiciness

Foods ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 86
Author(s):  
So-Ra Yoon ◽  
Yun-Mi Dang ◽  
Su-Yeon Kim ◽  
Su-Yeon You ◽  
Mina K. Kim ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Physicochemical Properties ◽  
Correlation Coefficient ◽  
Partial Correlation ◽  
Sugar Content ◽  
Amino Acid Content ◽  
Titratable Acidity ◽  
Free Sugar ◽  
Partial Correlation Analysis ◽  
The Relationship

Capsaicinoid content, among other factors, affects the perception of spiciness of commercial kimchi. Here, we investigated whether the physicochemical properties of kimchi affect the spicy taste of capsaicinoids perceived by the tasting. High-performance liquid chromatography (HPLC) was used to evaluate the capsaicinoid content (mg/kg) of thirteen types of commercial kimchi. The physicochemical properties such as pH, titratable acidity, salinity, free sugar content, and free amino acid content were evaluated, and the spicy strength grade was determined by selected panel to analyze the correlation between these properties. Panels were trained for 48 h prior to actual evaluation by panel leaders trained for over 1000 h according to the SpectrumTM method. Partial correlation analysis was performed to examine other candidate parameters that interfere with the sensory evaluation of spiciness and capsaicinoid content. To express the specific variance after eliminating the effects of other variables, partial correlations were used to estimate the relationships between two variables. We observed a strong correlation between spiciness intensity ratings and capsaicinoid content, with a Pearson’s correlation coefficient of 0.78 at p ≤ 0.001. However, other specific variables may have influenced the relationship between spiciness intensity and total capsaicinoid content. Partial correlation analysis indicated that the free sugar content most strongly affected the relationship between spiciness intensity and capsaicinoid content, showing the largest first-order partial correlation coefficient (rxy/z: 0.091, p ≤ 0.01).

scholarly journals Temperature Extreme May Exaggerate the Mortality Risk of COVID-19 in the Low- and Middle-income Countries: A Global Analysis

2020 ◽  
Author(s):  
Mizanur Rahman ◽  
Mahmuda Islam ◽  
Mehedi Hasan Shimanto ◽  
Jannatul Ferdous ◽  
Abdullah Al-Nur Shanto Rahman ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Global Analysis ◽  
Temperature Extreme ◽  
Spread Rate ◽  
Partial Correlation Analysis ◽  
Mixed Effect ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

We performed a global analysis with data from 149 countries to test whether temperature can explain the spatial variability of the spread rate and mortality of COVID-19 at the global scale. We performed partial correlation analysis and linear mixed effect modelling to evaluate the association of the spread rate and motility of COVID-19 with maximum, minimum, average temperatures and temperature extreme (difference between maximum and minimum temperature) and other environmental and socioeconomic parameters. After controlling the effect of the duration after the first positive case, partial correlation analysis revealed that temperature was not related with the spatial variability of the spread rate of COVID-19. Mortality was negatively related with temperature in the countries with high-income economies. In contrast, temperature extreme was significantly and positively correlated with mortality in the low-and middle-income countries. Taking the country heterogeneity into account, mixed effect modelling revealed that inclusion of temperature as a fixed effect in the model significantly improved model skill predicting mortality in the low-and middle-income countries. Our analysis suggest that warm climate may reduce the mortality rate in high-income economies but in low and middle-income countries temperature extreme may increase the mortality risk.

Use of element-mineral correlations to investigate fractionation of rare earth elements in fine-grained sediments

1994 ◽  
Vol 58 (393) ◽  
pp. 533-541 ◽  
Author(s):  
J. T. Temple ◽  
J. N. Walsh
Keyword(s):  
Rare Earth ◽  
Correlation Analysis ◽  
Rare Earth Elements ◽  
Partial Correlation ◽  
Correlation Coefficients ◽  
Partial Correlation Analysis ◽  
Middle Ordovician ◽  
Fine Grained ◽  
South Wales

AbstractRelative concentrations of elements in the minerals of fine-grained sediments can be inferred from element-mineral correlation coefficients. The technique is applied to the distribution of REE in Middle Ordovician shales from South Wales analysed by ICPAES, Leco C/S125 and XRD. Phosphate and chlorite show mid-REE enrichment; muscovite + biotite shows mid-REE depletion. The complementarity of the chlorite and muscovite + biotite patterns may be due to fractionation during diagenetic recrystallisation. Partial correlation analysis is used to infer the presence of zircon.

Detection of Model Parameter Mismatch Using Simplified Partial Correlation Analysis for Closed-Loop System

2014 ◽  
Vol 625 ◽  
pp. 398-401
Author(s):  
Nur Hidayah Kamal Iqbal ◽  
Nooryusmiza Yusoff ◽  
Lemma Dendena Tufa
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Closed Loop ◽  
Loop System ◽  
Model Structure ◽  
Closed Loop System ◽  
Partial Correlation Analysis ◽  
Parameter Mismatch ◽  
Arx Model ◽  
Model Parameter

Partial correlation analysis is used in detecting the model-plant mismatch as it will give accurate location of mismatched submodel. In this work of model parameter mismatch detection in closed-loop system, a simplified method of partial correlation analysis is proposed. In this method, the identification step for input sensitivities relating setpoints and manipulated variables,Sru, is omitted due the ability of ARX model structure to capture the dynamic of the input-output data even though in the presence of unmeasured disturbance in closed-loop system. The ARX model structure is implemented in decorrelating the observed data from the correlated inputs. By using the ARX model, the mismatch is detected at the precise location compared to the detection using FIR decorrelation model.

scholarly journals Circulating Levels of Betatrophin and Irisin Are Not Associated with Pancreaticβ-Cell Function in Previously Diagnosed Type 2 Diabetes Mellitus Patients

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Lingshu Wang ◽  
Jun Song ◽  
Chuan Wang ◽  
Peng Lin ◽  
Kai Liang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Correlation Analysis ◽  
Partial Correlation ◽  
Cell Function ◽  
Area Under The Curve ◽  
Partial Correlation Analysis

Betatrophin and irisin are two recently identified hormones which may participate in regulating pancreaticβ-cell function. However, the associations of these two hormones withβ-cell function remain unclear. The present study aims to demonstrate the associations of circulating betatrophin and irisin levels withβ-cell function, assessed by the area under the curve (AUC) of C-peptide, and the possible correlation between these two hormones in previously diagnosed type 2 diabetes mellitus (T2DM) patients. In total, 20 age-, sex-, and body mass index- (BMI-) matched normal glucose tolerance (NGT) subjects and 120 previously diagnosed T2DM patients were included in this study. Partial correlation analysis was used to evaluate the relationships between these two hormones and indexes ofβ-cell function and insulin resistance. Our results showed that betatrophin levels were significantly elevated, while irisin levels were significantly decreased, in patients with T2DM compared with NGT subjects. However, partial correlation analysis showed that betatrophin levels did not correlate withβ-cell function-related variables or insulin resistance-related variables before or after controlling multiple covariates, while irisin correlated positively with insulin sensitivity but is not associated withβ-cell function-related variables. Besides, no correlation was observed between betatrophin and irisin levels. Hence we concluded that betatrophin and irisin were not associated withβ-cell function in previously diagnosed T2DM patients.

scholarly journals KORELASI INFORMASI JENIS PEKERJAAN, STATUS SOSIAL EKONOMI ORANG TUA DAN SARANA PRAKTEK DENGAN MINAT KERJA SISWA KELAS XII PROGRAM KEAHLIAN TEKNIK OTOMOTIF SMK NEGERI 2 BIMA TAHUN AJARAN 2015/2016

TAMAN VOKASI ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Rizal Ardianto ◽  
Slamet Priyanto
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Economic Status ◽  
Multiple Correlation ◽  
Partial Correlation Analysis ◽  
Automotive Engineering ◽  
Socio Economic Status ◽  
Engineering Program ◽  
Job Information ◽  
Academic Year

The aims of this study is to find out; (1) the correlation between the type of job information, socio-economic status of parents and the practice facilities with a working interest (X1); (2) the correlation between the type of job information with the working interest (X2); (3) the correlation between socio-economic status of parents with working interests (X3); and (4) the correlation between practice facilities with a working interest of students of class XII Automotive Engineering Program SMK Negeri 2 Bima 2015/2016 academic year (Y).The research was conducted at SMK Negeri 2 Bima. The research was conducted in the first semester of the 2015/2016 academic year. The population in this study are 127 students taken from all of the students of class XII Automotive Engineering Expertise program. This study used applied try out technique. This research is a Ex Post Facto research. Data collection technique used a questionnaire method. Data analysis techniques used trials using multiple correlation analysis and partial correlation analysis.Based on the data analysis obtained the following results: (1) the results of the analysis of multiple correlation obtained coefficient rhitung 0433 and Fhitung 5629> Ftable 3:32 so it can be concluded that simultaneous correlation exists a positive and significant correlation between information type of work (X1) socioeconomic status (X2) and the practice facilities (X3) with working interests (Y); (2) the results of partial correlation analysis obtained rhitung 0312> rtabel 0176 so it can be concluded that there is a positive and significant correlation between the information type of work with work interests; (3) the results of partial correlation analysis obtained rhitung 0305> rtabel 0176 so it can be concluded that there is a positive and significant correlation between socio-economic status of parents with working interests; and (4) the results of partial correlation analysis obtained rhitung 0.244> 0.176 rtabel so it can be concluded that there is a positive and significant correlation between the practice facilities with a working interest of students of class XII Automotive Engineering Program SMK Negeri 2 Bima the academic year 2015/2016

scholarly journals Specific Association Between Religiosity and Cognitive Functions in Alzheimer’s Disease

2019 ◽  
Vol 34 (4) ◽  
pp. 254-260
Author(s):  
JaeHoon Jung ◽  
Chang Hyun Lee ◽  
Kitack Shin ◽  
Daeyoung Roh ◽  
Sang-Kyu Lee ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Correlation Analysis ◽  
Cognitive Functions ◽  
Structural Equation ◽  
Partial Correlation ◽  
Equation Modeling ◽  
Religious Activity ◽  
Partial Correlation Analysis ◽  
With Memory

Objectives: This study aimed to identify the specific relationship between subdomains of religious variables and cognitive functions in outpatients with Alzheimer’s disease (AD). Methods: We recruited 325 patients with AD from a psychiatry outpatient clinic. The Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease and the Duke University Religion Index were used to assess cognitive functions and religiosity. We performed structural equation modeling and partial correlation analysis after controlling for demographic data. Results: The model in which religiosity beneficially affects cognitive functions showed acceptable model fit (root-mean-square error of approximation = 0.076, Tucker-Lewis index = 0.921, comparative fit index = 0.947). In the partial correlation analysis, organizational religious activity demonstrated positive relationships with memory ( r = 0.144, P = .010), language ( r = 0.149, P = .007), and constructional ability ( r = 0.191 P = .001). Nonorganizational religious activity and intrinsic religiosity were positively associated with memory ( r = 0.115, P = .040; r = 0.140, P = .012) and constructional ability ( r = 0.207, P = .000; r = 0.136, P = .015). Conclusions: The findings suggest that religiosity positively affects cognitive functions and that each religious variable is related differently to the subdomains of cognitive functions in patients with AD.

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