Authors:Muhanad ALYASİRİ Abstract: Muography is an imaging technique based on theabsorption or scattering of atmospheric muons produced fromcosmic-ray interactions in the atmosphere. These muons areabundant at sea level and thus provide a natural source forimaging. Scattering density is a characteristic of matter that canbe used to discriminate between different materials. When muonspass through material they produce an aggregate of scatteringangles with an approximately Gaussian distribution. The standarddeviation of the distribution can be calculated using theradiation length of the substance. In this study, we calculate thescattering densities for 20 elements at different four values ofthe momentum of the muons to show the dependency on the momentum of the incident muons.Our results presented in this study complete the results obtained in some previous related studies. PubDate: Mon, 03 Jan 2022 00:00:00 +030
Authors:Alla SAAD; Hisham MOHAMMED Abstract: In this research, we have developed a new algorithm in the field of optimiza-tion and its application in teaching artificial neural networks with front feeding to predict the risk of car accidents due to consuming alcoholic beverages, and the algorithm has proven a high efficiency in prediction as it was compared with the results of the model predicting the risk of car accidents due to eating Given alco-hol and the results were very close to the true solution to the model PubDate: Mon, 03 Jan 2022 00:00:00 +030
Authors:Oludare ADEDIRE Abstract: Abstract — In this paper, monthly retail prices of imported Thailand rice in Plateau State are analyzed and a model is proposed. Data were collected from major warehouses of businessmen in Plateau State capital and based on the observed pattern in the raw data, time series analysis was employed. Particularly, Seasonal Autoregressive Integrated Moving Average (SARIMA) method is used on the data which covered a period of 132 months (January 2007- December 2017). The results from SARIMA (1, 1, 0)(0,1,1) show Lying –Box Q statistics value of 23.265 with p value of 0.107 and stationary R-squared value of 0.717 at 95% confidence bound which are all indicative of adequate fitted model for forecast. Hence the developed model can be used to predict monthly retail prices of Thailand rice in Plateau State Nigeria to aid government policy and enable adequate planning for future changes in price of rice. PubDate: Mon, 03 Jan 2022 00:00:00 +030
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