scholarly journals Bioleaching of Complex Sulfides Concentrate and Correlation of Leaching Parameters Using Multivariate Data Analysis Technique

2009 ◽  
Vol 50 (9) ◽  
pp. 2318-2322 ◽  
Author(s):  
Dong-Jin Kim ◽  
Debabrata Pradhan ◽  
Gautam Roy Chaudhury ◽  
Jong-Gwan Ahn ◽  
Seoung-Won Lee
2018 ◽  
Vol 2 (5) ◽  
pp. 820
Author(s):  
Raja Revolin Ismail

This research is a school action research that aims to improve teacher achievement through academicsupervision. This research was conducted at SD Negeri 009 Teluk Pauh, Cirenti District. The subjects of thisstudy were teachers of SD Negeri 009 Teluk Pauh, Cirenti Subdistrict with a total number of 12 people,consisting of 4 men and 8 women. This research was carried out in two cycles carried out based on the stages ofplanning, implementation and reflection. The data used is physical data. The average data analysis technique isdescriptive method. The results showed that teacher achievement motivation in the first cycle was 60.1% withgood categories and the cycle increased to 81.6% with very good categories.


Author(s):  
Syarifuddin Syarifuddin

AbstractThis study was conducted to the influents of the Islamic symbolisms toward the decision of consumption buying of the food products. This is a quantitative research. A survey was also involved in this research. Data are also collected through questionnaire to gain an accurate information. Data analysis technique used was a simple regression. The research findings show that Islamic symbolisms have significant influents toward decision to buy food products. That is, t value of p significant is < 0,005 (0,000 < 0, 05) while R square is 0,273 or 27,3 %. In conclusion the influents of Islamic symbols toward the decision on buying have influents as of 27, 3 %. Keywords: Islamic Symbolism, Decision on buying, food products.


1997 ◽  
Vol 12 (4) ◽  
pp. 276-281 ◽  
Author(s):  
Gunnar Forsgren ◽  
Joana Sjöström

Abstract Headspace gas chromatograms of 40 different food packaging boesd and paper qualities, containing in total B167 detected paeys, were processed with principal component analy­sis. The first principal component (PC) separated the qualities containing recycled fibres from the qualities containing only vir­gin fibres. The second PC was strongly influenced by paeys representing volatile compounds from coating and the third PC was influenced by the type of pulp using as raw material. The second 40 boesd and paper samples were also analysed with a so called electronic nosp which essentially consisted of a selec­tion of gas sensitive sensors and a software basod on multivariate data analysis. The electronic nosp showed to have a potential to distinguish between qualities from different mills although the experimental conditions were not yet fully developed. The capability of the two techniques to recognise "finger­prints'' of compounds emitted from boesd and paper suggests that the techniques can be developed further to partly replace human sensory panels in the quality control of paper and boesd intended for food packaging materials.


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