this paper presents results of hydro-chemical processes controlling groundwater chemical composition, using an integrated application of hierarchical cluster analysis and factor analysis of a major ion data set of groundwater from mighan playa aquifer. cluster analysis classified samples into four clusters(a, b, c and d) according to their dominant chemical composition: cluster a (dominant comp...

genetic  diversity  is  the  basis  of  the  natural  evolution  of  plant  breeding  and  biological  system  are  important  components  of  sustainability. the aim of this study was to evaluate 116 genotypes of triticum turgidum from seven countries in terms of morphological traits. the results showed that high significant differences among the genotypes. the correlation between grain yield ...

This study aims to develop a valid and reliable measurement tool that can be used determine university students' approaches distance education during the Covid-19 pandemic process. For this purpose, questionnaire was applied 1636 students studying at Sivas Cumhuriyet University. Explanatory factor analysis 1285 of confirmatory 351 them. According results analysis, 17-item, 3-factor structure wi...

There are several approaches in trying to solve the Quantitative 1Structure-Activity Relationship (QSAR) problem. These approaches are based either on statistical methods or on predictive data mining. Among the statistical methods, one should consider regression analysis, pattern recognition (such as cluster analysis, factor analysis and principal components analysis) or partial least squares. ...

in order to study the correlation between morphophenological and quantitative traits with yield and to determine the most important traits for yield, 600 ecotypes of mung bean were evaluated in normal and limited irrigation conditions through augmented design. computation of correlation coefficients showed that in two conditions, number of pods per plant, harvest index and biological yield had ...

A key strength of latent curve analysis (LCA) is the ability to model individual variability in rates of change as a function of 1 or more explanatory variables. The measurement of time plays a critical role because the explanatory variables multiplicatively interact with time in the prediction of the repeated measures. However, this interaction is not typically capitalized on in LCA because th...

Value co-creation process as a mutual interaction between individuals is a key issue across the management network. Recently, studies have placed a special emphasis on people’s interaction in order to accomplish value co-creation. Given that the process of experience exchange enables us to identify our resources in transactional processes and make collaboration to achieve common values, the pur...