This study discussed the Capital Assets Pricing model (CAPM) and its ability to measure the required return, the researcher tested this model on Amazon Company listed in S&P 500 during the period (2009-2016), to measure the impact of beta stock and market index return on the required return. Multiple regression model was used to test the effect of independent variables (Beta stock, Market Index Return) on the dependent variable (Required return), it should be noted that there is a statistically significant impact of the US stock market Return (S&P500) and Amazon stock Beta factor on Amazon stock required return, and the study model explanatory was 20% , this means that 20% of the changes in the required return are due to beta and market return, and 80% of the changes due to other factors, also find that CAPM can be applied on efficiency markets and huge companies. The researcher recommends applying the variables of the study on a group of large companies in the S&P 500 index, and looking for other factors that may affect the required return

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Journal: International Journal of Business and Management; Vol. 12, No. 8; 2017 ISSN 1833-3850 E-ISSN 1833-8119

Journal: Journal of law and political sciences VOL.2 ISSUE 1

The artificial intelligence methods in the Patch Antenna Multiple Wireless Applications, Recently indicate great prospects in the application of various areas of microengineering. This use of ANN for sizing patch patches of rectangular microstrip antennas with microstrip feed lines is presented in this article. Neural network in communication systems of wireless applications with antenna switching requires that antenna researchers design broadband antennas; Communication systems with high radiation efficiency should also be developed using the artificial neural network (ANN) simulation method; antenna size is a major limitation especially in mobile and wireless applications. In this paper, the problems of analysis and synthesis for the design of microstrip antennas using the artificial neural network method are considered. The task of the analysis is to calculate the resonant frequency of the microstrip patch antenna, while the artificial intelligence and the radial basis function RBF-ANN were used to implement the network model. Results obtained from an artificial neural network when compared with simulation results. The rapid development of wireless communication systems requires antenna researchers to develop miniature broadband antennas with high radiation efficiency. Communication systems require both the size and performance of the antennas, since there is a huge need for ultra-wideband, compact and efficient antenna structures that can operate in all desired subbands, from LTE (780 MHz) to WiMAX (5.5 GHz) Applications. ) with a good level of radiation efficiency and dimensions not exceeding 130 mm * 100 mm * 10 mm. All these functions are difficult to implement at the same time.

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Information security risk analysis has increased the number of complex issues of information security, requiring the participation of specialists in different areas of knowledge. This leads to inability of such systems to evaluate the security state of computer system thoroughly. Present paper on the intellectual to risk analysis and vulnerability of information systems. The aim of the study is to eliminate subjectivity in the assessment of risks and reduction of time for the process of risk analysis and vulnerability of the computer system. The mathematical tools of artificial neural network and probabilistic attack tree were used in the research. In order to evaluate the efficiency of the developed system, the security assessment for the Windows systems was performed. As the result the conformity between the real security of the information system and the assigned evaluations was proved.

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Journal: Journal of Advanced Sciences and Engineering Technologies Vol. 2, No.1 (2019)

Silver nanoparticles (Ag NPs) are widely used in nanomedicine, pharmaceutical products, industry and other consumer products owing to their unique physiochemical properties with probable potential risk to human health and the ecosystems. The aim of this work was to investigate the in-life morphological effects, biochemical, histological and histochemical alterations that might be induced by variable sizes of Ag NPs in hepatic, renal and testicular tissues with the hypothesis that variable sizes of nano-Ag could induce variable effects in the vital organs. Five groups of adult healthy male mice (BALB/C) were exposed to 35 intraperitoneal injections of Ag NPs (1 mg/kg bw) using five different particle sizes (10, 20, 40, 60 and 100 nm). All mice were subjected to in-life morphometric, biochemical, histological and histochemical analysis. The findings demonstrated that Ag NPs could induce alterations in the average body weight gain, food consumption, water intake and organ indices. In addition, these NPs significantly altered hepatic and renal biomarkers. Moreover, Ag NPs produced ground glass hepatocyte cytoplasm, with mitotic activity, nuclear alterations, degeneration, glycogen depletion and inflammatory cells infiltration in the liver. The kidneys of treated mice exhibited proximal renal tubules degeneration, distal renal tubules regeneration, glomerular shrinkage, Bowman’s capsule thickening and interstitial inflammation. The testicular tissues demonstrated spermatocyte sloughing and spermatid giant cell formation. The findings together indicated that Ag NPs could interact with the anatomical structures of the liver, kidney and testis in ways that could induce injury. In addition, the results indicated that smaller Ag NPs posed a greater potential risk than the larger ones, which might be associated with their behaviour, dissolution rate, bioavailability and their probable variable toxicokinetics.

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Metallic nanoparticles (NPs) are widely used in medical preparations. The present study aims to find out the influence of widely used five metallic NPs on the expression of major hepatic drug-metabolizing enzyme (DME) genes. Six groups of BALB/C mice, 7 mice each, were exposed to: Gold NPs, silver NPs, copper oxide NPs, silicon dioxide NPs and zinc oxide NPs, for 21 days. Liver biopsies from all mice were subjected to mouse cyp3a11, cyp2c29, ugt2b1 and interleukin-6 (il6) gene expression quantification using real-time polymerase chain reaction, in addition to inflammatory cell infiltration examination. All tested NPs caused a sharp and significant (ANOVA, p value <0.05) downregulation in the expression of DME genes, with the highest influence was observed in mice exposed to copper oxide NPs. Additionally, all NPs induced hepatic inflammation and upregulated the expression of il6 gene, which were inversely correlated with the expression of DMEs. It is concluded that all tested NPs downregulated the expression of DME genes, with the highest influence exhibited by copper oxide NPs, in correlation with inflammation and il6 gene induction in the liver. Further studies are needed to find out the effect of anti-inflammatory compounds against the alterations induced by metallic NPs exposure on hepatic DMEs

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Journal: Environmental Toxicology and Pharmacology, Volume 80, November 2020, 103449

Titanium dioxide nanoparticles (Ti NPs) are widely used in many commercial products, nanomedicine, agriculture, personal care products, different industries and pharmaceutical preparations with potential risk in human health and the environment. The current work was conducted to investigate the renal damage that might be induced by the acute toxicity TiO2 NPs. A total of 40 healthy male adult Wistar albino rats (Rattus norvegicus) were exposed to TiO2 NPs (126, 252, 378 mg/kg bw) for 24 and 48 h. Fresh portions of the kidneys from each rat were processed for histological and histochemical alterations. In comparison with respective control rats, exposure to TiO2 NPs has marked the following glomerular, tubular and interstitial alterations including the followings: glomerular congestion, Bowman's capsule swelling and dilatation, inflamed glomeruli, renal tubules cloudy swelling, karyorrhexis, karyolysis, infiltration of inflammatory cells, congestion, necrosis, hydropic degeneration, dilatation and congestion of blood vessels, hyaline droplets and hyaline casts precipitation, interstitial edema and fibrosis. From the findings of the current work one may conclude that TiO2 NPs are capable of inducing kidney damage with more insulation in the cortex and the proximal convoluted tubules than the medulla and the distal ones respectively. In addition, it might be concluded that renal damage induced by these nanomaterials is dose and duration of exposure dependent. Further hematological, biochemical, immunohistochemical, and ultra-structural studies are recommended.

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Journal: 37(3):1049-1057, 2019

We report the whole ram genome of Jordanian Awassi (Ovis aries), screened using the power of Illumina HiSeq sequencing technology, providing insights into the ram's genomic structure. Generated data will help in the assessment of naturally occurring genetic variation and population structure of this sheep breed using different structure variation markers. Also, it will help in the established markertrait associations that can be used in marker-assisted breeding for qualitative and quantitative productive traits. A total of 23,812,247 single nucleotide polymorphism (SNPs) were identified, of which 177,117 (0.74%) were in the coding regions, as well as 3.77 million insertions/deletions and 3357 frame-shifting mutations in the coding region. The re-sequencing revealed 38,900 structure variation types distributed along genome, including 45 insertions and 16,643 deletions types. Also, there were 13,689 copy number variations, of which 3743 were up-regulated, and 9946 were down-regulated. These results will help in describing SNPs and the distribution of structural variations types used in genetic mapping and breeding programs of sheep breeds.

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Journal: Genet. Mol. Res. 19(2): GMR18577