The purpose of the present study is to compare three factors of job retention (JRF) including work balance conditions, recognition of colleague support, and inclusiveness between PE and non-PE teachers. Out of 1963 high school teachers in Rasht, 71 PE teachers (4%) and 213 non-PE teachers (13%) were selected. To measure the 3 factors, a standard questionnaire (JRF) designed by Sue Ingles, Pastor and Banyl Chuk (1996) was used. The reliability of the questionnaire was estimated by Ramezani Nejad (2001) with Cronbach Alpha coefficient of 0.83. 81% of the questionnaires (231) were returned (57 PE and 17 non-PE teachers). After collecting the data, T-student test, analysis of variance (ANOVA) and Tukey test were used in the level of P<0.05. The results of the study indicated that from PE teachers and non-PE teachers point of view, the first priority is work balance conditions, and the last ong is inclusiveness. But for al the teachers, the first priority is the recognition of colleague support, and the last one is inclusiveness. A comparison 3 main factors between PE and non-PE teachers showed that there was a significant difference in recognition fo support between high-educated PE teachers and experienced ones. There was also a significant difference in work balance conditions between single and married female non-PE teachers in general. PE teachers had a better condition in recognition of support. Comparing to other teachers the same was true for non-PE teachers regardinginclusiveness.

This study investigates the relationship between PE and macroeconomic variables. In this paper, 21 macroeconomic variables are selected with decomposition to nominal and real variables. Also for detrending, trend variable is entered in model as an independent variable and multiple regression and factorial analysis are used for surveying research hypothesis. The multiple regression analysis result indicates that there is strict correlation between selected variables. However, it is confirmed the relationship between the independent variables and dependent variable (PE) by using factorial analysis and major component method.

This article study and compare malware families and malware detection methods and propose a new and efficient method for malware detection by static analysis. Proposed method based on PE Structure of executable files. Our method propose some new feathers such as quantity، name and size of sections، name of system calls and their libraries in IAT and EAT table، entry point and entropy for detection and distinguishes malwares and benign files by observing and exploring PE structure and header of mentioned files very deeply. These feathers can assign positive and negative point to determine malignant or benign rate of an unknown executable file by formulas of proposed method. We extract these features by doing data-mining on a large scale consist near 15000 malwares and 13500 benign files and used machine learning techniques for train and learn an intelligent rule base model for malware detection. Proposed method of this article cluster malwares in 5 and benign files in 2 families. This article evaluate accuracy of proposed method in detection and clustering malware and benign files and indicate that proposed method can detect and cluster malwares by more than 95 percent in accuracy and compete with other methods and get second ranked.

The effects of three different mixers, two different feeding orders and nanoclay content on the structure development and rheological properties of PE/nanoclay nanocomposite samples were investigated. Fractional Zener and Carreau– Yasuda models were applied to discuss the melt linear viscoelastic properties of the samples. Moreover, scaling law for fractal networks was used to quantify the clay dispersion, which depends on the PE matrix structure. A better dispersion and a higher melt intercalation of nanoclay particles were obtained by simultaneous feeding compared to compatibilizer/nanoclay masterbatch feeding. A twin-screw extruder (Brabender DSE 25 model) showed a greater potential for melt intercalation of PE/nanoclay as compared to internal mixers (Brabender W50 and Haake Rheomix 3000 batch mixers). Comparing the thermal analysis of PE, PE/PE-g-MA and PE/nanoclay samples by DSC technique showed an opposite effect for the compatibilizer versus the nanoclay on the crystallization behavior of PE. PE/nanoclay cast film samples were produced at three different draw ratios. The X-ray diffraction structural analysis in conjunction with the melt linear viscoelastic measurements confirmed that the PE/nanoclay cast film produced at higher draw ratio had a more effective melt intercalation. The tensile test showed that the machine direction modulus and yield strength of both PE and PE/nanoclay cast film samples reduced with increase of the draw ratio.

Aseries of PE/SiO2 nanocomposites, namely PE2D, PE5D, PE7D and PE10D, were prepared via reactive extrusion from the mixtures of vinyl functionalized nano-SiO2 (v-SiO2), Dicumyl peroxide and PE. For comparison, PE/SiO2 nanocomposite (PE7) was also prepared by the same method from a mixture of v-SiO2 and PE. SEM and TEM micrographs showed that the above products were composed of nanocomposite. Xylene extraction results showed that, except PE7, nanocomposites contained gel. FTIR Spectra showed the existence of SiO2 in the gels, meaning that SiO2 nanoparticles were covalently bonded to PE chains, i.e., PE2D, PE5D, PE7D and PE10D were nanocomposites formed by covalent bonds between SiO2 and PE.Studies based on DSC show that all the nanocomposites have Tm of close values and PE7 has higher crystallinity than other nanocomposites. Mechanical properties were investigated through tensile tests and the results show that covalently bonded PE/SiO2 nanocomposites have better performance compared to PE7. In this respect, the tensile strength, modulus, and elongation-at-break of PE7D are given as 41.5 MPa, 349 MPa and 1060% which are as high as 170%, 126% and 125% of the values for pure PE.While the tensile strength, modulus, and elongation-at-break of PE7 are only 109%, 108% and 109% of the values for pure PE, indicating the significant effect of covalent bond between polymer matrix and nanoparticles.