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/v) (solvent A) and in acetonitrile (solvent B), 0.1% formic acid, v/v), and an optimized gradient elution program from 7% to 40% of solvent B over 50 min with a flow rate of 1.0 mL/min. Data processing and multivariate statistical analysis Unsupervised PCA and

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the differences of all medicinal parts of T. asiatica , the obtained data were statistically processed by multivariate statistical analysis including bivariate analysis, hierarchical clustering analysis (HCA) and principal component analysis (PCA

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Organic wines produced by using organically cultivated grapes were evaluated using multivariate analysis and profiled by quantitative descriptive analysis. Trained judges rated the intensity of aroma and flavour descriptors. The statistical evaluation of the data demonstrated the close relation between Merlot and Cabernet sauvignon wines, considering their aroma descriptors and between Merlot and Carignan taking into account the taste descriptors. Significant differences among white wines were determined for sweet and bitter attributes and among red wines for sour, sweet, bitter, and astringency descriptors. The results of wine aroma characteristics demonstrated the following major descriptors for each wine type: metallic (Columbard); grape juice, wet wood, vine leaf (Semillon); burned wood (Grenache); dust, sour cherry, tobacco, yeast (Cabernet sauvignon); cork, unripe fruit, cinnamon (Carignan); grape molasses, dry plum (Merlot). Flavor profile of organic wines revealed specific descriptors for each wine type, namely raisin (Columbard); alcohol, rose, vine leaf, sulphur (Semillon); clove, salty (Grenache); flower, sour cherry, melon, cornelian cherry (Cabernet sauvignon), dry plum (Carignan, Merlot).

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Abstract  

The publications produced in a medical research institute in a 16 year interval were classified into five categories (scientific papers in the journals covered byCurrent Contents orScience Citation Index, scientific papers in other journals, books and monographs, technical papers, congress and symposia communications) and counted for each year separately. The number of researchers and yearly budgets were also recorded. The data were analysed by contingency table, correlation and factor-analytical methods. It was shown that, upon introducing quantitative minimal criteria for job promotions, the proportion of scientific papers increased. Principal component analysis indicated that the data can be approximately represented as linear combinations of three mutually independent factors. The approach used is recommended for evaluating the production of scientific information in research institutions and for assessing the effects of the measures of scientific policy.

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Abstract  

X-ray fluorescence analysis study of 44 archaeological pottery samples collected from Tell Jendares site north-west of Syria has been carried out. Four samples of the total previous investigated samples were obtained from the kiln found on Tell Jendares site. Seventeen different chemical elements were determined. The XRF results have been processed using two multivariate statistical cluster and factor analysis methods in order to determine the similarities and correlation between the selected samples based on their elemental composition. The methodology successfully separates the samples where three distinct chemical groups were discerned.

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Abstract

This paper aims to reveal the relationship and structure of library and information science (LIS) journals in China. 24 core LIS journals in China are selected and the relevant data of journal co-citation are retrieved from Chinese Journal Full-Text Database constructed by China National Knowledge Infrastructure during the period of 1999–2009. By calculating mean co-citation frequencies and correlation coefficients, we find that there is a strong relationship among LIS journals in China. Utilizing the methods of cluster analysis, multidimensional scaling analysis and factor analysis, we analyze the data of journal co-citation. LIS journals in China are divided into four clusters. The relatedness among journals is shown manifestly through their locations in the two-dimensional map. A three-factor solution is obtained with the factor loading of each journal. Finally, we interpret and discuss the results to get some conclusions and also expect to describe the network characters of journal co-citation in future research.

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articles on the given subject or field, could provide an immediate picture of the actual content of research topics (Callon et al. 1991 ; Ding et al. 2001 ). With the aid of multivariate statistical analysis and social network analysis, co-word analysis

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Abstract  

The results of a study on 111 obsidian artifacts collected during an archaeological campaign performed by the University of Siena near Sesto Fiorentino (Florence, Italy) are reported. Earlier, we used the concentration ratios among some elements as reported in the literature to discriminate the deposit sources. Later, optimizing the characterization and for having a more strong classification, multivariate chemiometric investigation has been performed (multivariate statistical analysis in Principal Components and Discriminating Factor Analysis). The data obtained show three wellseparated groups connected to the relative sites in Lipari and in Sardinia (flows A and C from Arci Mountain).

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Abstract  

Obsidian samples from Monte Arci in Sardinia (Italy) have been characterized by their minor and trace element concentration in order to find discriminating parameters useful to provenance the prime matter of obsidian artifacts. Obsidian samples were collected both at the SA, SB and SC outcrops and far away from them. All samples were submitted to INAA. The trace element concentration appears to be very useful to discriminate the three flows. Multivariate statistical analysis confirms the satisfactory distinction between the three sources. The assignment of the samples collected far away from outcrops to a specific flow (SC) validates the hypothesis that obsidian blocks might have been washed out by alluvial events.

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Summary  

A comprehensive sampling of organic and conventional oranges was carried out in Bebedouro, an important citrus producing region of Brazil. The soils, leaves and fruits of the variety Valencia (Citrus sinensis [L.]Osbeck) budded on Rangpur lime (Citrus limonia Osbeck) were analyzed. The chemical characterization was accomplished by instrumental neutron activation analysis (INAA). Indications for a difference between organic and conventional orange juices and leaves were obtained by applying univariate and multivariate statistical analysis. There were differences between samples for Br, Co, Cs, La and Rb from both systems.

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