Malaysia will be an ageing population by 2030 as the number of those aged 60 years and above has increased drastically from 6.2 percent in 2000 and is expected to reach 13.6 percent by 2030. There are many challenges that will be faced due to the ageing population, one of which is the increasing cost of pensions in the future. In view of that, it is necessary to investigate the effect of actuarial assumptions on pension liabilities under the perspective of ageing. To estimate the pension liabilities, the Projected Unit Credit method is used in the study and commutation functions are employed in the process. Demographic risk and salary risk have been identified as major risks in analyzing pension liabilities in this study. The sensitivity analyses will be conducted in the study to investigate how the pension liabilities will be affected when these major risks changes. This study analyzes nine scenarios under assumptions in the actuarial model, namely age of retirement, rate of mortality and rate of salary growth. The result of this study indicates that the implied mortality experience and salary growth rate assumptions have a significant impact on pension liabilities.
six specimens of the Hg0.5Pb0.5Ba2Ca2Cu3-y
In this research we study a variance component model, Which is the one of the most important models widely used in the analysis of the data, this model is one type of a multilevel models, and it is considered as linear models , there are three types of linear variance component models ,Fixed effect of linear variance component model, Random effect of linear variance component model and Mixed effect of linear variance component model . In this paper we will examine the model of mixed effect of linear variance component model with one –way random effect ,and the mixed model is a mixture of fixed effect and random effect in the same model, where it contains the parameter (μ) and treatment effect (τi ) which has
... Show MoreResearchers have increased interest in recent years in determining the optimum sample size to obtain sufficient accuracy and estimation and to obtain high-precision parameters in order to evaluate a large number of tests in the field of diagnosis at the same time. In this research, two methods were used to determine the optimum sample size to estimate the parameters of high-dimensional data. These methods are the Bennett inequality method and the regression method. The nonlinear logistic regression model is estimated by the size of each sampling method in high-dimensional data using artificial intelligence, which is the method of artificial neural network (ANN) as it gives a high-precision estimate commensurate with the dat
... Show MoreThe study aims to explore the effect of cognitive behavioral therapy on internet addiction among university students. The experimental method was used. The study population consisted of (100) university students (50 males, 50 females). The Research sample included (13) University students at Baghdad University addicted to the Internet (9 males, 4 females), divided into two groups: a control group consisting of (6) individuals (4 males, 2 females) and an experimental sample consisting of (6) individuals (4 males, 2 females). The Scale of Internet Addiction by Young (1996), which was translated and modified into the Arabic language by (Moegel and Prism, 2016), was administered to the study sample. The sample was subjected to two sess
... Show Moreتعد الحروب و الصراعات واحدة من اقدم الظواىر التي عرفتها المجتمعات البشرية وان ىذه الظاىرة تجسدت في البداية على مستوى الصراعات الفردية عندما كانت ترتقي الى مستوى الاشتباك وكانت بدائية في وسائلها وادواتها ،وكما ان ظاىرة الحرب بدأت من الاسرة ومن ثم القبيلة والعشيرة وانتهت بالدولة ،اذ ان ظاىرة الحروب بشكلها التقليدي تأخذ شكلا تدميريا بعد ان تتطور ابعادىا القصوى وان حدوثها ىو تضارب مصالح واىداف الاطراف وانها ال
... Show MoreThe study search for the history and the beginning of Faluja city in addition to its growing and developing stages , as well as its planning nature through ottoman era depending on aerial map of Falluja in 1919 as it is the oldest map from Baghdad Real Estate Department, this mentioned map is characterized by the accuracy of the information,
Recommendation systems are now being used to address the problem of excess information in several sectors such as entertainment, social networking, and e-commerce. Although conventional methods to recommendation systems have achieved significant success in providing item suggestions, they still face many challenges, including the cold start problem and data sparsity. Numerous recommendation models have been created in order to address these difficulties. Nevertheless, including user or item-specific information has the potential to enhance the performance of recommendations. The ConvFM model is a novel convolutional neural network architecture that combines the capabilities of deep learning for feature extraction with the effectiveness o
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