Searching for the main anti-bacterial components in artificial Calculus bovis using UPLC and microcalorimetry coupled with multi-linear regression analysis

2011 ◽  
Vol 34 (23) ◽  
pp. 3330-3338 ◽  
Author(s):  
Qing-Ce Zang ◽  
Jia-Bo Wang ◽  
Wei-Jun Kong ◽  
Cheng Jin ◽  
Zhi-Jie Ma ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multi Linear Regression

scholarly journals Spectral Correlations in some Substituted Styryl (E)-4-((2-Oxopropyl)Diazenyl) Benzoic Acids

2014 ◽  
Vol 30 ◽  
pp. 33-43
Author(s):  
V. Sathiyendiran ◽  
K.G. Sekar ◽  
Ganesamoorthy Thirunarayanan ◽  
R. Arulkumaran ◽  
R. Sundararajan ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Benzoic Acids ◽  
Effect Of Substituents ◽  
Substituent Constants ◽  
Multi Linear Regression ◽  
Spectral Group

A series of titled compounds were prepared and analyzed their purities by literature method. The infrared and NMR spectral group frequencies of the compounds were assigned and correlated with Hammett substituent constants, F and R constants using single and multi linear regression analysis. From the results of statistical analysis, the effect of substituents on the above spectral frequencies was discussed.

scholarly journals Preheated Fly-Ash Catalyzed Cyclization of Chalcones: Synthesis of some Substituted Pyrazole-1-Carbothioamides and Spectral Correlations in 3-(3,4-Dichlorophenyl)-5-(Substituted Phenyl)-4,5-Dihydro-1H-Pyrazole-1-Carbothioamides

2013 ◽  
Vol 15 ◽  
pp. 18-34 ◽  
Author(s):  
Ganesamoorthy Thirunarayanan ◽  
K.G. Sekar
Keyword(s):  
Regression Analysis ◽  
Fly Ash ◽  
Linear Regression ◽  
Microwave Irradiation ◽  
Spectral Data ◽  
Linear Regression Analysis ◽  
Solvent Free ◽  
Physical Constants ◽  
Multi Linear Regression ◽  
Substituted 1

Some substituted 1-thiocarbomyl pyrazolines including 3-(3,4-dichlorophenyl)-5-(substituted phenyl)-4,5-dihydro-1H-pyrazole-1-carbothioamides using solvent-free preheated fly-ash catalyzed cyclization between chalcones and thiosemicarbazide microwave irradiation. The yields of these thiocarbomyl pyrazolines are more than 80%. The purities of these synthesised pyrazoline derivatives are checked by their physical constants and spectral data earlier reported in the literature. The spectral data of these 3-(3,4-dichlorophenyl)-5-(substituted phenyl)-4,5-dihydro-1H-pyrazole-1-carbothioamides had been correlated, using single and multi-linear regression analysis.

The Effect of Service Quality Dimension on Taxpayers’ Satisfaction (Study at Howard Tax Consultant)

2020 ◽  
Vol 18 (3) ◽  
pp. 62
Author(s):  
Gladys Greselda Gosal ◽  
Christina Whidya Utami
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Linear Regression Analysis ◽  
Likert Scale ◽  
Independent Variables ◽  
Quality Dimension ◽  
Multi Linear Regression ◽  
The Impact

This research aims to explore the impact of service quality towards the satisfaction of taxpayers who use the services of Howard Tax Consultant. Dimensions of the service quality that are used as independent variables are flexibility, reliability, assurance, tangibles, and responsiveness, meanwhile the dependent variable is taxpayers’ satisfaction. All members of the population are taken as the sample of the research, with total of 50 respondents, among those are 35 individual taxpayers and 15 corporate taxpayers. Data was collected through questionnaire with 24 indicators with Likert scale, and was analyzed using multi-linear regression analysis. The result of multi-linear regression analysis shows that flexibility, reliability, assurance, tangibles, and responsiveness are significantly and positively correlated to the satisfaction of taxpayers who use the services of Howard Tax Consultant, and therefore it is concluded that all the hypothesis in this research are upheld.

Study Applicable for Multi-Linear Regression Analysis and Logistic Regression Analysis

2014 ◽  
Vol 8 (1) ◽  
pp. 782-786
Author(s):  
Ju Wu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression ◽  
Blood Sugar ◽  
Logistic Regression Analysis ◽  
Linear Regression Analysis ◽  
Modeling Method ◽  
Independent Variables ◽  
Multi Linear Regression ◽  
Relative Factors

Current study focus on using method of multi-linear regression analysis and logistic regression analysis, and discuss about the condition and scope of multi-linear regression analysis and logistic regression analysis. A modeling method has been introduced keeping in the basic principles of multi-linear regression analysis and logistic regression analysis. The modeling method and two forms of analytic methods have been analyzed, based on two clinic test data of diabetes and Model-2 diabetes as objects of study in combination with the analytic methods of multi-linear regression and logistic regression. Analysis result indicate that glycosylated hemoglobin, glycerin trilaurate, total cholesterol of serum and blood sugar concentration present obvious positive relation (P < 0.05), whereas insulin and blood sugar present negative relation(P < 0.05); body mass index (BMI) and relative factors are dangerous; physical excise and relative factors are protective. In conclusion, multi-linear regression analysis and logistic regression analysis respectively have their own emphasis; for example, multi-linear regression analysis emphasizes on analyzing linear dependent relation with an dependent variable and multiple independent variables, whereas logistic regression analysis emphasizes on analyzing the relation between probability of occurring an incident and independent variables.

scholarly journals Hammett Spectral Correlations in Benzofuranyl Flavonols

2014 ◽  
Vol 25 ◽  
pp. 39-47
Author(s):  
Ganesamoorthy Thirunarayanan ◽  
K.G. Sekar
Keyword(s):  
Hydrogen Peroxide ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sodium Bicarbonate ◽  
Spectroscopic Data ◽  
Chemical Shifts ◽  
Linear Regression Analysis ◽  
Infrared Spectral ◽  
Substituent Constants ◽  
Multi Linear Regression

A series containing eleven benzofuranyl flavonols have been prepared by cyclization of 3-hydroxybenzofuranyl chalcones with 30% hydrogen peroxide in the presence of sodium bicarbonate. The synthesized flavonols were characterized by their physical constants, analytical and spectroscopic data. The infrared spectral νOH, CO stretches(cm-1), NMR chemical shifts of OH, CO(δ, ppm) of these flavonols were assigned and correlated with Hammett substituent constants, F and R parameters using single and multi linear regression analysis. From the results of statistical analyses, the effects of substituents on the above group frequencies were discussed.

scholarly journals Infrared and 13C NMR Spectral Studies of some Aryl Hydrazides: Assessment of Substituent Effects

2014 ◽  
Vol 32 ◽  
pp. 88-94 ◽  
Author(s):  
Ganesamoorthy Thirunarayanan ◽  
K.G. Sekar ◽  
R. Lakshmi Narayanan
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Substituent Effects ◽  
Spectral Studies ◽  
Substituent Constants ◽  
Multi Linear Regression ◽  
Spectral Group ◽  
C Nmr

A series of some aryl hydrazides have been synthesized. These hydrazides purities were analyzed by physical constants and spectral data. The assigned spectral group frequencies were correlated with Hammett substituent constants and Swain-Lupton parameters using single and multi-linear regression analysis. From the results of statistical analysis, the effect of substituents on the spectral group frequencies has been discussed

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