scholarly journals Revealing hydrological relations of adjacent karst springs by partial correlation analysis

2017 ◽  
Vol 49 (3) ◽  
pp. 616-633 ◽  
Author(s):  
Ana Kadić ◽  
Vesna Denić-Jukić ◽  
Damir Jukić
Keyword(s):  
Correlation Function ◽  
Relative Humidity ◽  
Correlation Analysis ◽  
Output Signal ◽  
Partial Correlation ◽  
Cross Correlation ◽  
Partial Correlation Analysis ◽  
Karst Springs ◽  
Input And Output ◽  
Effects Of Temperature

Abstract The objective of this work is the study of two adjacent karst springs, Jadro and Žrnovnica, in Croatia. This work focuses on the effects of temperature, relative humidity, rainfall and discharges on the hydrological behavior and relations of two adjacent karst springs. Partial correlation analysis reveals the type of the control signal that affects the cross-correlation function between an input and output signal. It has been confirmed that in the case of the adjacent karst springs Jadro and Žrnovnica, the discharge of the Žrnovnica Spring has an impact on the rainfall-discharge relation of the Jadro Spring. The demonstrated approach represents an improvement in investigating the relations of adjacent karst springs and could be used as an integral part of their hydrological and hydrogeological investigations, considering that the necessary data can occur in a relatively simple and inexpensive manner.

scholarly journals Hidrološki odnosi susjednih krških izvora

2017 ◽  
Author(s):  
◽  
Ana Kadić
Keyword(s):  
Correlation Function ◽  
Relative Humidity ◽  
Correlation Analysis ◽  
Output Signal ◽  
Partial Correlation ◽  
Cross Correlation ◽  
Control Signal ◽  
Cross Correlation Function ◽  
Partial Correlation Analysis ◽  
Karst Springs

The objective of this work is the study of two adjacent karst springs Jadro and Žrnovnica in Croatia. This work focuses on the effects of temperature, relative humidity, rainfall and discharges on the behaviour and relations of two adjacent karst springs. Partial correlation analysis implies that the impact of the control signal on the cross-correlation function between the input and output signal can be detected from the correlation coefficient between the input signal and control signal and from the cross-correlation function between the control signal and output signal. The groundwater recharge depends on the process of evapotranspiration and rainfall, so air temperature, relative humidity and rainfall control the spatial and temporal distribution of this process. The major contribution of the paper relies on the utilization of simple correlation and fist-order partial correlation analysis to characterize the functioning and relations of two adjacent karst springs in a dry and wet hydrological year by using hourly data. It has been confirmed that in the case of adjacent karst springs the discharge of each spring has effect on the rainfall-discharge correlation of the other spring. The demonstrated approach represents an improvement in investigating the relations of adjacent karst springs in dry and wet periods, and can be applied on any adjacent karst springs.

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.

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