The exercise of activities and sports are of great importance to public health and to maintain the ideal health weight as well as the psychological and mental comfort of humans. The aim of this study is to determine the contribution and participation of educated females in physical activities at the University of Baghdad hall for the years 2011-2016, and to show the factors that influence women's contribution to physical activities at the university by selecting 100 students of males and 100 females' students randomly. During the questioning questions and statistical analysis of the questioning to find out the reasons for the discouraging contribution of the women to the various physical activities and try to find solutions and recommendations to encourage women to participate more with physical activities. The results of the study showed that the percentage of female university students in physical activities participation was 1.2 in 2011, while it was raised to 5.03% in 2016. This percentage is very low compared to the number of female students, which is 2.9% higher than that of males in the university. More than half of the women participating in the sports were overweight and obese, and the proportion of obese women was 59.4 in 2011 and the proportion decreased statistically to 53.3 in 2016. There is a high statistical difference between natural and high weight for the years 2011-2016. It was also found that there is a significant difference of females who suffer from chronic diseases and for all ages of 2011-2016 years. The statistical analysis of the questionnaire questions shows that most respondents did not participate or exercise physical activities, and the high proportion of them prefer to participate to a high degree of sports activities when they have opportunities to participate. It was also found that the large percentage of respondents attributed the reason for not exercising to sports due to lack of time and discouragement by others as well as the lack of places and halls for the exercise of sports activities. The study showed that the high percentage of respondents explained the possibility of increasing the contribution to sports activities for females by increasing the number of places and gymnasiums in all Iraqi cities as well as increasing the awareness of sports and propaganda through the media, through the television screen and the importance of health and clarification through video, The high percentage of respondents encouraged them to their families and friends to engage in various sports activities, and fortunately the economic factor and income is of little importance to those respondents. All of this shows that there is great concern and enthusiasm for physical activities participation's, which are understandable for their health importance and for maintaining the ideal health weight, but for the difficult conditions that Iraq is going through and the lack of infrastructure.
The aim of this research is to identify the availability of quality standards for the websites of the Palestinian TV channels and to provide an assessment of the quality standards used by the websites of TV Channels web sites in general and Palestinian TV channels in particular. Through the use of the method of media survey method descriptive methods, and the research has reached the difference in the application of quality standards for TV Channels sites in the web sites of Palestinian TV Channels, and the development of language of visual communication for the design of those sites in exchange for the lack of access to those sites of the technical possibilities that is Provided by the Internet.
The purpose of this research is to find the estimator of the average proportion of defectives based on attribute samples. That have been curtailed either with rejection of a lot finding the kth defective or with acceptance on finding the kth non defective.
The MLE (Maximum likelihood estimator) is derived. And also the ASN in Single Curtailed Sampling has been derived and we obtain a simplified Formula All the Notations needed are explained.
this study was perform to defined the effect of fungus Metarhiziumanisopliae Sorokin with concentrations 5x101, 5x103 and 5x105 spore/ ml and Actelic insecticide with concentration 0.001% in in rate of germinate treated string bean seeds also study effect of packed bags in two different type: jute and polypropylene bags which treated with fungal suspension pervious mention and insecticide in rate infested the string bean seeds packed in it.Results of the study showed the following: Lower rate of weight loss of cowpea seeds appear in poly propylene bags 4.41, 5.95% after six months of treatment with 5x 105 spore/ ml and Actelic insecticide respectively compared with 15.08% to control treatment. The fungal concentrations and insecticide not
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This paper assesses the impact of changes and fluctuations in bank deposits on the money supply in Iraq. Employing the research constructs an Error Correction Model (ECM) using monthly time series data from 2010 to 2015. The analysis begins with the Phillips-Perron unit root test to ascertain the stationarity of the time series and the Engle and Granger cointegration test to examine the existence of a long-term relationship. Nonparametric regression functions are estimated using two methods: Smoothing Spline and M-smoothing. The results indicate that the M-smoothing approach is the most effective, achieving the shortest adjustment period and the highest adjustment ratio for short-term disturbances, thereby facilitating a return
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Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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In this paper, we investigate the connection between the hierarchical models and the power prior distribution in quantile regression (QReg). Under specific quantile, we develop an expression for the power parameter ( ) to calibrate the power prior distribution for quantile regression to a corresponding hierarchical model. In addition, we estimate the relation between the and the quantile level via hierarchical model. Our proposed methodology is illustrated with real data example.
In this study a polymeric composite material was prepared by hand
lay-up technique from epoxy resin as a matrix and magnesium oxide
(MgO) as a reinforcement with different weight fraction (5,10,15,
and 20)% to resin. Then the prepared samples were immersed under
normal condition in H2So4(1 M) solution, for periods ranging up to
10 weeks. The result revealed that the diffusion coefficient
decreasing as the concentration of MgO increase. Also we studied
Hardness for the prepared samples before and after immersion. The
result revealed that the hardness values increase as the concentration
of MgO increase, while the hardness for the samples after immersion
in H2SO4 dec
Pyrolysis of high density polyethylene (HDPE) was carried out in a 750 cm3 stainless steel autoclave reactor, with temperature ranging from 470 to 495° C and reaction times up to 90 minute. The influence of the operating conditions on the component yields was studied. It was found that the optimum cracking condition for HDPE that maximized the oil yield to 70 wt. % was 480°C and 20 minutes. The results show that for higher cracking temperature, and longer reaction times there was higher production of gas and coke. Furthermore, higher temperature increases the aromatics and produce lighter oil with lower viscosity.