The main purpose of this study was to investigate gender differences as for predictors of entrepreneurial intention among students in Iranian higher entrepreneurship education system. A survey of all students in entrepreneurship faculty of Tehran University was carried out (N = 211). 136 students were selected for the study using a stratified random sampling method. The result showed there were a significant positive relationship between entrepreneurial intentions of male students and their attitudes towards entrepreneurship, social norms and self-efficacy beliefs. While among the female students, attitudes towards entrepreneurship and self-belief had a significant positive relationship with entrepreneurial intentions. The results of the analysis showed students \'self-efficacy beliefs in male and female students\' attitudes toward entrepreneurship had the most direct and significant impact on their entrepreneurial intentions. Also, comparing the results suggested significant impact of gender on attitudes towards entrepreneurship; social norms and self-efficacy beliefs of students. The results of this study can have implications for higher education planners dealing with entrepreneurship to enhance students\' entrepreneurial intentions and behavior and reduce the gender gap in their entrepreneurial activities in the future.

In the recent decades, new arts even digital and computer ones have been more popular. Now museums have been established with different approaches which are the best place to display these products. Today, developments having taken place in the fields of art and architecture show that museums need changes regarding inside spaces and planning method. In this research we attempt to study museum and environment capabilities and existed potential to get desired criteria in planning museum by parametric designing. This study which was done based on descriptive analytic method and on written documents by analyzing examples of exist outstanding works concluded that planning museum due to form, function and economy contains fixed principles that parametric architecture as a new method in increasing designing speed and frugality and providing dynamic and complicated forms using simple repeated method is effective. Designing software in parametric method provides opportunities of designing complicated geometrical ones existed in planned models ever made whose applying seemed impossible for architects.

This research has been carried out to determine the growth lambs and reproductive characteristics and milk yield of Hamdani sheep in rural farm conditions, in the Çığlı village of Çukurca district, Hakkari city, Turkey. In general, information related to the performance of native sheep breeds of Turkey under rural farm conditions is insufficient. Average means of the birth weight (BWT), weaning weight (WWT) at 90th day and 6th month live weight (SMLW) were found 4.13±0.21, 21.78±1.30 and 35.09±1.62 kg, respectively. The average daily gains from birth to weaning (ADWG1) and from birth to 6th month (ADWG2) were 171.98±8.75 and 196.30±14.27 g, respectively. Hamdani sheep who gave birth between December to February such as lambing rate (LR), sterility rate (STR), twinning rate (TW), fecundity (FEC) and litter size (LITS) were found to be 92%, 8%, 13.05%, 1.04 and 1.13, respectively. The survival rates of lambs until the 7th and 90th (until weaning) days were 98.5% and 94.6%, respectively. The means of lactation milk yield (LMY) and lactation length (LL) for ewes were 83.96±11.55 l and 170.98±10.72 days, respectively. The results indicated that the growth of lambs, reproductive characteristics and milk yield of ewes in Hamdani sheep in rural farm conditions were concluded to be comparable determined by the characteristics of the study on other domestic ewe breeds.

Drowsiness or sleepiness is one of the major concerns for drivers often in night time. In recent years, road accidents are occurred highly due to fatigue of driver. It may cause several deaths and injuries. According to WHO, India has contributes highest number of death rate due to road accidents in the world. In this survey, reported that at every 4 minutes one person dies in road accident. In this method, driver attention is monitored continuously for detecting drowsiness or any kind of sleep disorder by using Electroencephalogram (EEG).Through EEG the brain activities of driver should be analyses constantly. Based on the brain signal levels, their performance must be calculated and alertness also given to that driver. It resists the level of accidents that might be happen. And also reduces the ratio of deaths and injuries because of drowsiness of the driver.

Blind Parameter Estimation and classification is a key\ntask in military and commercial applications such as electronic\nwarfare, spectrum monitoring, and spectrum awareness in cognitive\nradio systems. Cyclostationary signals is one, that exhibits a\nstatistical property to identify whether the signal is treated to be a\nstochastic or a deterministic time. However there are many criterias\nto be developed, led to investigate the problem in digital modulation.\nThe problems are overcome by using different algorithms which\nincludes Single Carrier Linearly Digitally modulated (SCLD) signals,\nOrthogonal Frequency Division Multiplexing (OFDM), Block\nTransmitted-Single Carrier Linearly Digitally modulated (BT-SCLD)\nsignals. Analytical closed-form expressions are derived for the cyclic\nautocorrelation function (CAF), cyclic spectrum (CS),\ncomplementary CAF (CCAF), and corresponding cycle frequencies\n(CFs). Furthermore, the conditions for avoiding aliasing in the cycle\nand spectral frequency domains are obtained. The paper demonstrates\nthat the effectiveness of proposed algorithm under low signal-tonoise\nratios (SNRs), short sensing times, and various channel\nconditions.

In recent years there is tremendous growth of research focused on unmanned aerial vehicle stabilization and its control. This research article focused on control system design for the stabilization of Roll angle of Fix –wing UAV. There are several different types of UAVs available in the market, but fixed-wing UAVs is the most common one which is used for surveillance and rescue applications. Like other UAVs, Fix-wing UAVs are also non linear in nature and its stabilization during flight is most critical task. In lateral autopilot controlling of Fixing UAV the roll angle stabilization play very significant part and its proper controlling is essential for UAV stability. In this research work PID with Extended kalman Filter control algorithm is proposed for stabilization of roll angle of fixed-wing UAV under uncertainty conditions. PID parameters are tuned in such a way that the roll stabilized as fast as possible and within limited overshoot and the addition of extended kalman filter (EKF) makes UAV more stable by canceling the noises produced by the system and sensors. Simulation results proved that, the proposed control technique works well and produce effective results for fixed-wing UAV’s roll angle stabilization.

Our main aim in the present work is to study the influence of heat transfer analysis of thin film flows of a third grade fluid in the presence of magneto hydrodynamic (MHD) on a vertical moving belt. The momentum and energy equations are solved analytically by using the Adomian decomposition method (ADM). The results include the velocity profile, average velocity, volume flux and the temperature distribution across the film. Particular attention is given to the combined effect of heat transfer and MHD on the velocity field. Optimal Homotopy Asymptotic Method (OHAM) is also used for comparison. The numerical results and absolute errors are derived in tables. The influence of different parameters on velocity profile and temperature distribution is discussed graphically