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Zabihollah Y.,Mazandaran University of Medical Sciences | Ahmad T.,Tarbiat Modares University | Kamran N.,Islamic Azad University at Qaemshahr | Younes Y.,Institute of Higher Education | Aliakbar Y.,Depatment of Environment
Life Science Journal | Year: 2013

In the research, multivariate statistical techniques, such as cluster analysis (CA), principal component analysis (PCA) and factor analysis (FA) were used to identify characteristics of water quality and to assess spatial and seasonal variations of water quality in Tajan River Basin. Water quality data collected from ten sampling stations in river during Six years were analyzed for 14 parameters. Cluster analysis grouped stations into three clusters and the characteristic of clusters was agreed to the spatial pattern human activities in the Tajan river basin. In this investigation, cluster three (station 10) matches to highly polluted sites. The principal component analysis/factor analysis helped to extract and recognize the factors or origins responsible for water quality variations in four seasons. The temperature (natural parameter), BOD5, COD, FC, NO3-and PO4 (anthropogenic activities) were the most significant parameters contributing to water quality variations for all seasons.


Barzegari A.,Payame Noor University | Ebrahimi M.,Islamic Azad University at Amol | Azizi M.,Razi University | Ranjbar K.,Institute of Higher Education
World Applied Sciences Journal | Year: 2011

This study designed for understanding the nutrition knowledge, attitude and food habits of college's students. The target population consisted entirely of college student of Payam Nour Universities. Standard questionnaire (K Parmenter and J Wardle 1999) which was developed to measure subject's nutrition knowledge, attitude and food habits distributed among 415 students randomly. After translation, questionnaires were evaluated by professor's faculty of physical education and sport sciences. The reliability analysis yielded Cronbach Alpha values of 0.78 for the knowledge and 0.74 for the attitude scales. The collected data was analyzed by t-test, one-way ANOVA and Pearson correlation coefficient (P<0.05). Results show that nutrition knowledge score in physical education student were highest and in business management student were lowest. ANOVA show that there were no significant differences among nutrition knowledge of all majors and between genders. Also nutrition attitude scores for physical education were highest and for psychology were lowest; but difference between nutrition attitudes among all majors was not significant. There were significant positive correlations between nutrition knowledge and attitude; and between nutrition attitude and food habits of male and females students.According to our results, we suggest that student should more attention to nutrition. Also study in college as a golden period for learning, can affect on promote nutrition knowledge, attitude and practices of students, therefore the importance of nutrition in various college curriculums and improvement of the learning environment, related to nutrition need to be emphasized on college campuses. © IDOSI Publications, 2011.


Du Q.,Institute of Higher Education | Kou B.,Institute of Foreign Languages
Progress in Mine Safety Science and Engineering II - Proceedings of the 2nd International Symposium of Mine Safety Science and Engineering | Year: 2014

With the establishment of modern enterprise system and its huge benefits, the establishment of a modern enterprise has become the only way for coal enterprise to make sustainable development. Only improving the current coal enterprise safety education, constantly strengthening staff training, and improving the overall safety of the workers quality, can we ensure the competitive advantage of enterprise itself, and keep an impregnable position in the market competition. As a result, the coal enterprise safety education is an effective way to enhance their awareness of the importance of enterprise staff safety, and it is a main method of improving the quality of company worker safety, and it is also the important guarantee to realize safety in production. © 2014 Taylor & Francis Group.


Taghipour S.,University of Tehran | Taghipour S.,Institute of Higher Education | Kananian A.,University of Tehran | Kananian A.,Institute of Higher Education | And 2 more authors.
Arabian Journal of Geosciences | Year: 2014

The Esfordi iron oxide-apatite deposit is located in the Bafq district, Central Iran. The ore body is hosted by the Lower Cambrian succession of rhyolite, rhyolitic tuff, cherty dolomite, and limestone. Calc-silicate assemblages occur locally in altered host rocks as stratigraphically controlled patches. The main hydrothermal minerals include apatite, magnetite-hematite, actinolite, garnet, clinopyroxene, talc, calcite, and quartz. The prograde calc-silicate mineral paragenesis manifests as garnet (Ad96.7, Gr1.88) and clinopyroxene (Di76.14, Hd22.65, Jo1.21), whereas apatite, magnetite, hematite, tremolite-actinolite, chlorite, talc, epidote, quartz formed during retrograde episode. Microthermometric results yield a temperature range for 222-465 ° C, with a salinity of 8 to 21 wt% NaCl for apatite that coexists with retrograde mineral assemblage. δ18O isotopic variations of apatite (1.23-14.9 ‰), magnetite (6.8-8.3 ‰), and quartz (13.8-15.8 ‰) suggests that mixing of magmatic and meteoric fluids occurred during mineralization. Calc-silicates prograde stage is believed to have formed at T < 550 °C and high f{hook}O2 conditions. The field, mineralogical, and geochemical evidence indicate distal calcic skarn type alteration occurred locally in the Esfordi hydrothermal system. © 2014 Saudi Society for Geosciences.


Farokhi S.,University of Technology Malaysia | Sheikh U.U.,University of Technology Malaysia | Flusser J.,Czech Institute of Information Theory And Automation | Shamsuddin S.M.,University of Technology Malaysia | Hashemi H.,Institute of Higher Education
Jurnal Teknologi (Sciences and Engineering) | Year: 2014

This study evaluates the performance of global and local feature extractors as well as dimension reduction methods in NIR domain. Zernike moments (ZMs), Independent Component Analysis (ICA), Radon Transform + Discrete Cosine Transform (RDCT), Radon Transform + Discrete Wavelet Transform (RDWT) are employed as global feature extractors and Local Binary Pattern (LBP), Gabor Wavelets (GW), Discrete Wavelet Transform (DWT) and Undecimated Discrete Wavelet Transform (UDWT) are used as local feature extractors. For evaluation of dimension reduction methods Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPDA), Linear Discriminant Analysis + Principal Component Analysis (Fisherface), Kernel Fisher Discriminant Analysis (KFD) and Spectral Regression Discriminant Analysis (SRDA) are used. Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that ZMs as a global feature extractor, UDWT as a local feature extractor and SRDA as a dimension reduction method have superior overall performance compared to some other methods in the presence of facial expressions, eyeglasses, head rotation, image noise and misalignments. © 2014 Penerbit UTM Press. All rights reserved.

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