This research aims to find out the relationship of risk behavior & job satisfaction for workers in the emergency program in the international relief agency (UNRWA) in the Gaza Strip and the level of each of them, and to achieve that we have been conducting research on the strength of "210" sample employees of the emergency program staff in the international relief agency in Gaza governorates, and try to answer the research questions the researcher through the use of measurements of risk behavior and job satisfaction are two of the researcher, The researcher has used several statistical methods to identify the validity and reliability of scales and access to research and interpretations of the results, and these methods: the mean, standard deviation and relative weight, Pearson correlation coefficient, test "t", scheffe test, variance and variance analysis bilateral analysis test (2 × 2), results showed that the level of risk-taking behavior is located at the average level of relative weight (68.5%), and job satisfaction level is at a good level relative weight (73.5%) among respondents, as well as the presence of a statistically significant relationship between job satisfaction and risk taking behavior in general, and the presence of statistically significant differences in the level of risk-taking behavior is attributable to gender, educational qualification, the nature of the profession, the workplace, and to maintain, and the lack of statistically significant differences in the level of risk-taking behavior attributed to marital status, years of experience, and the lack of statistically significant differences in the level of satisfaction differences career due to the variable gender, marital status, educational qualification, years of experience and the workplace, and the presence of significant differences in the level of job satisfaction differences due to the variable nature of the profession, the province, and the presence of the effect statistically significant interaction between gender "male, female" job satisfaction "low , high "after the distinctive capabilities of personal risk, while the results did not show statistically significant impact indicative of the rest of the dimensions of the total degree of risk taking behavior have, And the existence of the effect statistically significant interaction between qualification and job satisfaction "low, high," a motivated risk, while the results did not show significant influential statistically for the rest of the overall dimensions and the degree of risk taking behavior they have, and the presence of the effect statistically significant interaction between the nature of the profession and job satisfaction "low, high "Just risk decision-making, while the results did not show significant influential statistically for the rest of dimensions and the total score for the behavior of the risk they have, and the presence of the effect statistically significant interaction between the workplace and job satisfaction" low, high, "the dimensions accept the risk, and the motives of the risk, while not shown Results statistically significant effect on the rest of the dimensions of the total degree of risk taking behavior.
S Ali…, Journal of Physical Education, 2019 - Cited by 1
This research is concerned with the re-analysis of optical data (the imaginary part of the dielectric function as a function of photon energy E) of a-Si:H films prepared by Jackson et al. and Ferlauto et al. through using nonlinear regression fitting we estimated the optical energy gap and the deviation from the Tauc model by considering the parameter of energy photon-dependence of the momentum matrix element of the p as a free parameter by assuming that density of states distribution to be a square root function. It is observed for films prepared by Jackson et al. that the value of the parameter p for the photon energy range is is close to the value assumed by the Cody model and the optical gap energy is which is also close to the value
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The faujasite type Y zeolite catalyst was prepared from locally available kaolin. For prepared faujasite type NaY zeolite X-ray, FT-IR, BET pore volume and surface area, and silica/ alumina were determined. The Xray and FT-IR show the compatibility of prepared catalyst with the general structure of standard zeolite Y. BET test shows that the surface area and pore volume of prepared catalyst were 360 m2 /g and 0.39 cm3 /g respectively.
The prepared faujasite type NaY zeolite modified by exchanging sodium ion with ammonium ion using ammonium nitrate and then ammonium ion converted to hydrogen ion. The maximum sodium ion exchange with ammonium ion was 53.6%. The catalytic activity of prepared faujasite type NaY, NaNH4Y and NaHY zeolites
Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an ob
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The two parameters of Exponential-Rayleigh distribution were estimated using the maximum likelihood estimation method (MLE) for progressively censoring data. To find estimated values for these two scale parameters using real data for COVID-19 which was taken from the Iraqi Ministry of Health and Environment, AL-Karkh General Hospital. Then the Chi-square test was utilized to determine if the sample (data) corresponded with the Exponential-Rayleigh distribution (ER). Employing the nonlinear membership function (s-function) to find fuzzy numbers for these parameters estimators. Then utilizing the ranking function transforms the fuzzy numbers into crisp numbers. Finally, using mean square error (MSE) to compare the outcomes of the survival
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Grass trimming operation is widely done in Malaysia for the purpose of maintaining highways. Large number of operators engaged in this work encounters high level of noise generated by back pack type grass trimmer used for this purpose. High level of noise exposure gives different kinds of ill effect on human operators. Exact nature of deteriorated work performance is not known. For predicting the work efficiency deterioration, fuzzy tool has been used in present research. It has been established that a fuzzy computing system will help in identification and analysis of fuzzy models fuzzy system offers a convenient way of representing the relationships between the inputs and outputs of a system in the form of IF-THEN rules. The paper presents
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