Factor analysis as a complement to band resolution techniques. VI. Complex formation between pentachlorophenol-OD and acetone

1979 ◽  
Vol 57 (20) ◽  
pp. 2707-2713 ◽  
Author(s):  
J. Korppi-Tommola ◽  
H. F. Shurvell

Complex formation between pentachlorophenol-OD (PCP-OD) and acetone and acetone-d6 in CCl4 solution has been studied. Digitized infrared spectra in the O—D stretching region ν(OD) of PCP-OD and the C—O stretching region ν(CO) of acetone have been recorded from solutions of various concentrations. The present results are compared with previous work on complex formation between PCP and the same acceptor molecules. In the ν(OD) region, factor analysis (principal component analysis) and a concentration study of the areas of the resolved band components suggest that two (1:1) complexes occur in solution. The equilibrium constant obtained for one of the complexes shows an isotope effect due to deuteration of the proton donor. In the ν(CO) region, only one band due to complexed species was resolved. Equilibrium constants calculated using the results from the ν(OD) and ν(CO) regions are in good agreement with each other.

1985 ◽  
Vol 63 (8) ◽  
pp. 2303-2307 ◽  
Author(s):  
Patrice B. Bentham ◽  
Cynthia G. Romak ◽  
Herbert F. Shurvell

The techniques of factor analysis (principal component analysis) and band contour resolution have been applied to Raman spectra obtained from seven aqueous solutions of HgCl2 with various amounts of HCl added to increase the chloride to mercury ratio. The digitized spectra of the Hg—Cl stretching region (200–380 cm−1) were subjected to baseline fitting and removal, and normalization using the v2 band of ClO4− (380–530 cm−1) as an internal intensity standard. Factor analysis indicated the presence of three scattering components in the Hg—Cl stretching band envelope. Band resolution gave the positions of peaks assigned to HgCl2, HgCl3−, and HgCl42− at 320, 290, and 269 cm−1, respectively. Approximate values for equilibrium constants for the equilibria present in the system have been calculated from the resolved band areas.


Author(s):  
Mihwa Han ◽  
Kyunghee Lee ◽  
Mijung Kim ◽  
Youngjin Heo ◽  
Hyunseok Choi

Metacognition is a higher-level cognition of identifying one’s own mental status, beliefs, and intentions. This research comprised a survey of 184 people with schizophrenia to verify the reliability of the metacognitive rating scale (MCRS) with the revised and supplemented metacognitions questionnaire (MCQ) to measure the dysfunctional metacognitive beliefs of people with schizophrenia by adding the concepts of anger and anxiety. This study analyzed the data using principal component analysis and the varimax method for exploratory factor analysis. To examine the reliability of the extracted factors, Cronbach’s α was used. According to the results, reliability was ensured for five factors: positive beliefs about worry, negative beliefs about uncontrollability and danger of worry, cognitive confidence, need for control, and cognitive self-consciousness. The negative beliefs about uncontrollability and danger of worry and the need for control on anger expression, which were both added in this research, exhibited the highest correlation (r = 0.727). The results suggest that the MCRS is a reliable tool to measure the metacognition of people with schizophrenia.


Author(s):  
Nucky Vilano ◽  
Setia Budi

The company's application design is very important because it displays the company's image and to attract more users to purchase/utilize the application. This research applies Kansei Engineering Method to analyze the emotion or feelings of the user towards the design of a mobile application interface. Six Kansei Words and three specimens are utilised in this research, where Kansei words are selected from words related to user experience. The participants of this research consist of 54 students from Maranatha Christian University. Participants’ responses are studied using multivariate statistical analysis (e.g., Coefficient Correlation Analysis, Principal Component Analysis, and Factor Analysis). This study explores the emotional factors that occur in designing an application. This analysis shows that there are some major factors that greatly influence the design of a mobile application interface.


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