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.

Information security in data storage and transmission is increasingly important. On the other hand, images are used in many procedures. Therefore, preventing unauthorized access to image data is crucial by encrypting images to protect sensitive data or privacy. The methods and algorithms for masking or encoding images vary from simple spatial-domain methods to frequency-domain methods, which are the most complex and reliable. In this paper, a new cryptographic system based on the random key generator hybridization methodology by taking advantage of the properties of Discrete Cosine Transform (DCT) to generate an indefinite set of random keys and taking advantage of the low-frequency region coefficients after the DCT stage to pass them to

قال احد المربين ( أعطوني طفولة سعيدة ممتلئة وخذوا شباباً ناضجاً سليماً) ويعني بالطفولة السعيدة تلك الطفولة المشبعة بالحب والحنان وتلبية الحاجات المهمة للطفل حيث يتعلم الطفل من احضان العائلة بعض النواهي والاوامر حتى اذا اتسعت دائرة معارفه شملت الرفقة والعصبة حيث يبدأ الطفل بالتحرر شيئاً فشيئأ من الضوابط العائلية وينتقل مركز ولائه واخلاصه من العائلة الى العصبية وكلما تتوسع علاقات الطفل تزداد خبراته وت

Abstract

Objectives: The main objective of this study is to find the influence level of nursing incivility on psychological well-being among nurses in southeastern Iraq.

Methods: In this descriptive correlational study, a convenience sample of 250 nurses working in three government hospitals in Missan province in the south of Iraq were surveyed using the nursing incivility scale (NIS) and Ryff's psychological well-being scale (PWB) from November 2021, to July 2022. A multivariate multiple regression analysis was done to analyze the multivariate effect of workplace incivility on the psychological well-being of nurses.

Results: The study results show a

الادب في اللغة ملكة تقصي من قامت به عن كل ما يشبنه

او هو حسن الخلق وفعل المكارم

او الظرف وحسن التناول

او الالتزام لما يندب له الانسان⁽¹⁾ .

وقد كثر استخدام هذه اللفظة في التراث فقيل ادب الطبيب ، وادب الوزير، وادب القاضي ، وادب المائدة ، وادب الخط ، وادب المعلم والمتعلم ، وادب المعلم في نفسه وفي درسه ،وادب المتعلم مع استاذه وادب البحث والدرس.

     This aims tackles the importance of the organizational energy of the hotel organizations that search the success in the business field to penetrate in the whole tourist markets, and to draw the policies and firm rules which must be framed with the administrative strategies that contributed in creativity and achievement the targets besides provide a future vision due to its position among the competitive henceforth achieving the activity. This is what the chapters tackle in the theoretical side. Also many general questions have been arisen to determinate the importance of the research and many other special questions that express the problem of the study. To limit the levels of study alter

This paper aims to decide the best parameter estimation methods for the parameters of the Gumbel type-I distribution under the type-II censorship scheme. For this purpose, classical and Bayesian parameter estimation procedures are considered. The maximum likelihood estimators are used for the classical parameter estimation procedure. The asymptotic distributions of these estimators are also derived. It is not possible to obtain explicit solutions of Bayesian estimators. Therefore, Markov Chain Monte Carlo, and Lindley techniques are taken into account to estimate the unknown parameters. In Bayesian analysis, it is very important to determine an appropriate combination of a prior distribution and a loss function. Therefore, two different