The aim of the present study is to highlight the role of total cholesterol (TC), triacylglycerol (TG), Glycated hemoglobin A1c and iron in Iraqi women with multiple sclerosis and also to examine the biochemical action of copaxone (which is the most widely used in the 21st century to treat multiple sclerosis) on these biochemical parameters. This is the first study in Iraq which deals copaxone action on TC , TG , HbA1c and iron. Ninety women in their fourth decade suffering from multiple sclerosis were enrolled in this study. They were divided into: the first (group B) composed of (30) women without any treatment related to multiple sclerosis or any treatment linked with chronic or inflammatory diseases. The second (group A1) included (30) women under treatment with copaxone for 1 year, whereas the third group (group A2) involved (30) women under treatment with copaxone for 2 years. Patients groups were compared with a healthy control group (group C) composed of (30) healthy women, TC, TG, HbA1c and iron levels were determined in the sera of patients and control groups. Results of the present study has revealed that TC was high significantly increasing in the sera of group B (250.68±9.76) mg/dl compared with group C (175.36±8.81) mg/dl, while it was high significantly decreasing in the sera of groups A1 (211.88±5.90) mg/dl and A2 (212.12±5.60) mg/dL compared with group B (250.68±9.76) mg/dl. Beside, a non-significant difference was suggested between groups A1 (211.88±5.90) mg/dl and A2 (212.12±5.60) mg/dl. The present study also reported that TG was high significantly increasing in group B (224.84±10.76) mg / dl compared with group C (131.36±7.53) mg/dL whereas a significant decrease was shown in group A1(142.48±4.63) mg/dl and group A2 (195±4.20) mg/dl compared with group B (224.84±10.76) mg / dl. Surprisingly, a highly significant increase was reported in group A2 (195±4.20) mg/dl compared with group A1(142.48±4.63) mg/dl. The present study also suggested that HbA1c level was high significantly increasing in the sera of group B (6.53±0.57) mg/dl compared with group C (4.99±0.07) mg/dl. Oppositely, it was high significantly decreasing in the sera of groups A1 (4.72±0.42) mg/dl and A2 (4.53±0.35) mg/dl compared with group B (6.53±0.57) mg/dl. Futhermore, a non-significant difference was noted between groups A1 (4.72±0.42) mg/dl and A2 (4.53±0.35) mg/dl. This study also reported that iron level was high significantly decreasing in the sera of group B (37.31±4.24) µg / dl compared with group C (98.23±9.21) µg/ dl, whereas it was significantly increasing in the sera of groups A1 (44.05±6.32) µg/dl and A2 (45.31±6.82) µg/dl compared with group B (37.31±4.24) µg/dl . A non significant difference was shown between groups A1 (44.05±6.32) µg / dl and A2 (45.31±6.82) µg / dl.
Fire is one of the most critical risks devastating to human life and property. Therefore, humans make different efforts to deal with fire hazards. Many techniques have been developed to assess fire safety risks. One of these methods is to predict the outbreak of a fire in buildings, and although it is hard to predict when a fire will start, it is critical to do so to safeguard human life and property. This research deals with evaluating the safety risks of the existing building in the city of Samawah/Iraq and determining the appropriateness of these buildings in terms of safety from fire hazards. Twelve parameters are certified based on the National Fire Protection Association (NFPA20
Alumina thin films have significant applications in the areas of optoelectronics, optics, electrical insulators, sensors and tribology. The novel aspect of this work is that the homogeneous alumina thin films were prepared in several stages to generate a plasma jet. In this paper, aluminium nanoparticles suspended in vinyl alcohol were prepared using exploding wire plasma. TEM analysis was used to determine the size and shape of particles in aluminium and vinyl alcohol suspensions; the TEM images showed that the particle size is 17.2 nm. Aluminium/poly vinyl alcohol (Al/PVA) thin films were prepared using this suspension on quartz substrate by plasma jet technique at room temperature with an argon gas flow rate of 1 L/min. The Al/PV
... Show MoreThe objective of this study is to verify the overall performance and evaluate the wastewater quality of the wastewater treatment plant at the Abu Ghraib Dairy Factory and compare the results with the Iraqi Quality Standards (IQS) for effluent disposal and with the national determinants of treated water use. Agricultural irrigation wastewater, which included daily assessment records of the main parameters affecting wastewater [five-day biochemical oxygen demand (BOD5), chemical oxygen demand (COD), total dissolved solids (T.D.S), total suspended solids (TSS), phosphate (PO4), nitrate (NO3), hydrogen ion concentration (pH)] obtained from the quality control department of Abu Ghraib dairy plant registered from January 2017 to December 2020. Th
... Show MoreIn this work, the photocatalytic degradation of indigo carmine (IC) using zinc oxide suspension was studied. The effect of influential parameters such as initial indigo carmine concentration and catalyst loading were studied with the effect of Vis irradiation in the presence of reused ZnO was also investigated. The increased in initial dye concentration decreased the photodegradation and the increased catalyst loading increased the degradation percentage and the reused-ZnO exhibits lower photocatalytic activity than the ZnO catalyst. It has been found that the photocatalytic degradation of indigo carmine obeyed the pseudo-first-order kinetic reaction in presence of zinc oxide. This was found from plotting the relationship between ln
... Show MoreClinical keratoconus (KCN) detection is a challenging and time-consuming task. In the diagnosis process, ophthalmologists must revise demographic and clinical ophthalmic examinations. The latter include slit-lamb, corneal topographic maps, and Pentacam indices (PI). We propose an Ensemble of Deep Transfer Learning (EDTL) based on corneal topographic maps. We consider four pretrained networks, SqueezeNet (SqN), AlexNet (AN), ShuffleNet (SfN), and MobileNet-v2 (MN), and fine-tune them on a dataset of KCN and normal cases, each including four topographic maps. We also consider a PI classifier. Then, our EDTL method combines the output probabilities of each of the five classifiers to obtain a decision b