scholarly journals Silicon Photovoltaic Systems Performance Assessment Using the Principal Component Analysis Technique

Author(s):  
Hicham Lotfi ◽  
Mustapha Adar ◽  
Amin Bennouna ◽  
Driss Izbaim ◽  
Fatimazahra Oum'bark ◽  
...  
PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134828 ◽  
Author(s):  
Mahdi Maktabdar Oghaz ◽  
Mohd Aizaini Maarof ◽  
Anazida Zainal ◽  
Mohd Foad Rohani ◽  
S. Hadi Yaghoubyan

2017 ◽  
Vol 71 (11) ◽  
pp. 2497-2503 ◽  
Author(s):  
Saranjam Khan ◽  
Rahat Ullah ◽  
Samina Javaid ◽  
Shaheen Shahzad ◽  
Hina Ali ◽  
...  

This study demonstrates the analysis of nasopharyngeal cancer (NPC) in human blood sera using Raman spectroscopy combined with the multivariate analysis technique. Blood samples of confirmed NPC patients and healthy individuals have been used in this study. The Raman spectra from all these samples were recorded using 785 nm laser for excitation. Important Raman bands at 760, 800, 815, 834, 855, 1003, 1220–1275, and 1524 cm−1, have been observed in both normal and NPC samples. A decrease in the lipids content, phenylalanine, and β-carotene, whereas increases in amide III, tyrosine, and tryptophan have been observed in the NPC samples. The two data sets were well separated using principal component analysis (PCA) based on Raman spectral data. The spectral variations between the healthy and cancerous samples have been further highlighted by plotting loading vectors PC1 and PC2, which shows only those spectral regions where the differences are obvious.


Author(s):  
Candraningrat . ◽  
Oktaviani . ◽  
Sri - Suhandiah

This study aims to find success factors for succession in family-based MSMEs in MSMEs in Surabaya, Indonesia, where Surabaya is a metropolitan city that allows entrepreneurs to develop and be sustainable for the next generation of family businesses. The research method used is factor analysis which is an analysis technique that forms the latent variables that have not been determined before the analysis, the results of anilisation will find any factors that influence the success of succession in MSMEs. Sample in this study amounted to 100 MSMEs of family businesses that could be met in Surabaya or incidental sampling, while respondents in this study were second generation family business owners. The method of data collection is a survey with a questionnaire instrument that has been tested for validity and reliability. The data analysis technique used is the Principal Component Analysis Factor Analysis with SPSS software. The results of this study found that six factors that determine the success of succession in MSMEs in the city of Surabaya are succession preparation procedures, successor characteristics, readiness of previous generations, communication in the succession process, relationships between family members, and introduction to the business environment. This research is expected to provide references on the sustainability of family business to the next generation in the city of Surabaya, East Java, Indonesia.


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