راش، گونه­های علفی، حاصل خیزی خاک، آنالیزهای چندمتغیره. this study was carried out in carpino-fagetum orientalis, rusco-fagetum orientalis,fagetum oriental and alno-fagetum orientalisforest communities of namkhaneh, gorazbon and chelir districts of kheiroudkenar forest. the aim of the research was investigation on relationship between understory vegetation and soil condition and to determine th...

Introduction: In this study the effect of psychodrama on body image of female students at secondary school has been examined. Method: In this quasi experimental study, all the female students at secondary school who were studying at high school in academic year 2016-2017 in Tehran were selected as a statistical society. Among the high schools in Tehran's 15th district, one school was selected ...

Information from on-line imaging sensors has great potential for the monitoring and control of quality in spatially distributed systems. The major difficulty lies in the efficient extraction of information from the images, information such as the frequencies of occurrence of specific and often subtle features, and their locations in the product or process space. This paper presents an overview ...

In recent years, multivariate imaging techniques are developed and applied in biomedical research in an increasing degree. In research projets and in clinical studies as well m-dimensional multivariate images (MVI) are recorded and stored to databases for a subsequent analysis. The complexity of the m-dimensional data and the growing number of high throughput applications call for new strategie...

Images have been used in the sciences for a long time and they are used increasingly. Large amounts of data representing complex systems can only be represented by visualization as images. Multivariate images arise from a surprising variety of sources. Some are images in the conventional sense (such as satellite data) while others are not (secondary ion mass spectroscopy, SIMS). Almost all phys...

Multivariate data sets are now produced in several types of microscopy. Multivariate statistical methods are necessary in order to extract the useful information contained in such (image or spectrum) series. In this review, linear and nonlinear multivariate methods are described and illustrated with examples related both to the segmentation of microanalytical maps and to the study of variabilit...