Abstract The search for a reliable source of energy has been a challanging task to manking while conventional energy resorces are diminishing nuclear fusion, especially laser fusion, promises to be the source of the future. Experimental costs in laser fusion are astronomical and computer modeling drastically minimizes such costs and gives a chance for less fortunate Gauntries to gain insight into the scientific and technical aspects of the subject since a large portion of information involved is classified. This work deals with the spatial and temporal evolution of the laser fusion produced by different laser pulses It is based on a computer code called MEDUSA which takes into account the variation in the wavelength, power density pulse duration, target geometry and material. It assumes a target which is divided into 20 cells each of 24 urn width. Inverse-Bremsstrahlung and resonance absorption are the two main mechanisms responsible for absorption of energy from the incident laser pulse. Fusion takes place in the plasma as a result of ablation of the plasma corona where the formed shock waves compress the plasma cells and heat them. The rate of energy deposited into and radiated from the plasma ,which causes variation of the plasma internal energy, is expressed by the energy equation. This equation is transformed into a finite difference form and solved by Gauss Elimination Method to calculate the plasma parameters such as electron(T e) and ion ternperatures(Ti), pressure(P) and density(p) and the different processes of energy absorption and losses. The temporal evolution of these parameters is studied through the divisions of the pulse into chosen time steps at which the evolution is clear. The results have shown that by increasing laser power the energy deposited into and radiated from the plasma increases. The electron and ion temperatures the plasma pressure and density also increase. This is because of the geadual propagation of the shock wave from the surface of the pellet towards its center causing compression of the plasma cells. The optimum value of such parameters are obtained close to the end of the pulse where the incident laser power is maximum and so as the energy deposited into the plasma center where heating and compression causes the consumption of the whole target After the end of the pulse duration, the plasma cells coordinates expand and the plasma parameters decrease, a process known as diminishing of the plasma The effect of the laser parameters of four diffterent lasers namely CO2, KrF, Nd-glass and Ruby of 5ns, 15ns and 45ns pulse duration was studied. It was found that: (1) the maximum value of the plasma parameters decrease by increasing the pulse duration of a certain power and wavelength, (2) the maximum value of the plasma parameters increase by increasing the wavelength because of increasing the energy deposited into the plasma by resonance absorption process. At the optimum implosion time, the plasma parameters show a strong spatial variation. However, a strong temporal variation of the plasma parameters was observed at the pellet center.
هناء محمد حسن موسي (1994)

In this study, the linear structural relationship model’s slope parameter is determined by using the proposed robust nonparametric method based on trimmed mean. This method is an upgrade to the nonparametric method that was put forward by Al-Nasser and Ebrahem (2005) by employing trimmed mean for all likely paired slopes rather than median slopes. Simulation study and real data were used to compare the proposed method’s performance versus the traditional maximum likelihood method. In the simulation study, based on both methods’ mean square error, it was inferred that the MLE method breaks down due to the presence of outliers even though its functioning was not affected when there was no outlier in the data set. Based on the real life example, it can be concluded that the performance of our proposed method was quite well in determining slope parameter
Amel Saad Alshargawi, (1-2022)

Accumulating evidence indicates the role of endocrine disruptor bisphenol A (BPA) in many pathological conditions. Histone deacetylase (HDAC) inhibition has potential for the treatment of many diseases/abnormalities. Using a mouse BPA exposure model, this study investigated the hepatoprotective effects of the Food and Drug Administration–approved HDAC2 inhibitor valproic acid (VPA) against BPA-induced liver pathology. We randomly divided 30 adult male Swiss albino mice (8 weeks old; N = 6) into five groups: group 1, no treatment (sham control (SC)); group 2, only oral sterile corn oil (vehicle control (VC)); group 3, 4 mg/kg/day of oral BPA (single dose (BPA group)); group 4, 0.4% oral VPA (VPA group); and group 5, oral BPA + VPA (BPA + VPA group). At the age of 10 weeks, the mice were euthanized for biochemical and histological examinations. BPA promoted a significant decrease in the body weight (BW), an increase in the liver weight, and a significant increase in the levels of liver damage markers aspartate aminotransferase and alanine aminotransferase in the BPA group compared to SC, as well as pathological changes in liver tissue. We also found an increase in the rate of apoptosis among hepatocytes. In addition, BPA significantly increased the levels of oxidative stress indices, malondialdehyde, and protein carbonylation but decreased the levels of reduced glutathione (GSH) in the BPA group compared to SC. In contrast, treatment with the HDAC2 inhibitor VPA significantly attenuated liver pathology, oxidative stress, and apoptosis and also enhanced GSH levels in VPA group and BPA + VPA group. The HDAC2 inhibitor VPA protects mice against BPA-induced liver pathology, likely by inhibiting oxidative stress and enhancing the levels of antioxidant-reduced GSH.
Mohamed A. Al-Griw, Zaynab Osama Alshibani, Rabia Omar abdullah Alghazeer, Mohamed Elhensheri, Refaat. M. Tabagh, Areej A. Eskandrani, Wafa S. Alansari, Mahmoud M. Habibulla, Ghalia Shamlan(6-2022)