Cerebellum (cb) is the most important and sensitive part of the central nervous system (CNS) after cerebrum. The exposure to any infection during embryogenesis produces abnormalities in the cerebellum function and morphology that effect on behavioral of offspring later. In the present study we used 30 mature female pregnant albino rats divided in to three groups, each group contain 10 females: G1 was considered the control group received D.W only, while G2 group treated orally with (2mg/kg /day) suspension of silver nanoparticles (AgNPs) and G3 group treated orally with (20mg/kg/day) AgNPs. The embryos retrieved in different embryonic days from ED12 to ED21. In this study morphometric analysis was measured in the developing albino rats cerebellum after maternal exposure to two concentrations of AgNPs from preimplantation period until delivery . we measured the morphometric parameters (area, perimeter, anterior-posterior diameter APD and transverse diameter TD) of the selected embryonic days; ED12,ED15,ED18, and ED21 and retrieved the embryos from these days. The morphometric results in the control group(G1) showed that increased significantly (P≤ 0.05) in the area of the developing cerebellum from ED12 until reach the optimal level in the end of gestation at ED21 (14.0815mm2 to 18.969 mm2 respectively), perimeter (9.804 mm2 to 16.267 mm2) and TD (52.6308μm to 431.6 μm),while the APD value was increased significantly (P≤ 0.05) at ED12 and ED15 only (367.0041 μm, 454.011 μm )respectively but the orientation growth of the cerebellum decreased significantly (P≤ 0.05) at the later stage of the development at ED18 and ED21(364.48 μm, 225μm) respectively. In the present research both concentrations of the AgNPs (2mg and 20 mg/kg/ B.Wt) showed changes in the dimensions of the developing cerebellum cortex according to the studied morphometric parameters; in the 2 mg/kg/ B.Wt, the area of the developing cerebellum cortex was increased significantly (P≤0.05) from ED12 (47.437mm 2) and reached to maximum growth at ED18 (130.220 mm2), while it is growth inhibited at ED21( 68.909 mm2) compared to control group, the values of the developing cerebellum cortex perimeter increased significantly (P≤0.05) from ED12 until ED15 (0.964 mm 2, 2.548 mm 2) respectively compared to control group; TD values of the developing cerebellum cortex increased significantly (P≤0.05) from ED12 until ED15 also (259.341 μm,436.203 μm) respectively compared to control group. While the APD of the developing cerebellum cortex was decreased significantly (P≤0.05) during late development of the cortex at ED18 and ED21(330.415 μm, 131.5 μm) respectively as in the control group. In G3 group which treated with 20mg/kg/ B.Wt concentration of AgNPs, the similar results of area were showed as in the lower concentration, area of the developing cortex increased significantly (P≤0.05) from ED12(80.11mm 2) and reached to maximum growth at ED18(140.56 mm2) and lower after that. the values of the developing cerebellum cortex perimeter increased significantly (P≤0.05) from ED12 until ED15 (0.256 mm2, 0.543 mm2) respectively compared to control group; while in the APD and TD values the effect of the higher concentration of the AgNPs was more effect on these dimensions; APD values decreased significantly (P≤0.05) at ED15 (360.48 μm ) and not reach to the complete growth, also in TD values decreased at ED15 (400.5744 μm) and do not reach to maximum growth at end embryonic development compared to the embryonic development timing in the control group.
Advanced strategies for production forecasting, operational optimization, and decision-making enhancement have been employed through reservoir management and machine learning (ML) techniques. A hybrid model is established to predict future gas output in a gas reservoir through historical production data, including reservoir pressure, cumulative gas production, and cumulative water production for 67 months. The procedure starts with data preprocessing and applies seasonal exponential smoothing (SES) to capture seasonality and trends in production data, while an Artificial Neural Network (ANN) captures complicated spatiotemporal connections. The history replication in the models is quantified for accuracy through metric keys such as m
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Background: The world is in front of two emerging problems being scarceness of virgin re-sources for bioactive materials and the gathering of waste production. Employment of the surplus waste in the mainstream production can resolve these problems. The current study aimed to prepare and characterize a natural composite CaO-SiO2 based bioactive material derived from naturally sustained raw materials. Then deposit this innovative novel bioactive coating composite materials overlying Yttria-stabilized tetragonal zirconia substrate. Mate-rials and method; Hen eggshell-derived calcium carbonate and rice husk-derived silica were extracted from natural resources to prepare the composite coating material. The manufac-tured powder was characterized
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Background: Multi- drug resistant (MDR) Staphylococcus aureus infections have become a major public health concern in both hospital and community settings.Objective: to investigate the antibacterial activity of T. Foenum- groecum essential oil against skin infection with S. aureus and to study probable synergistic activity in combination with Clindamycin.Type of the study: Cross-sectional study.
Methods: Antibacterial activity of T. Foenum- groecum essential oil extract (1.2gm/100 µl) was investigated in multi- drug resistance (MDR) Staphylococcus aureus specimen isolated from patients with skin infection in Baghdad. T. Foenum- groecum use externally for cellulites and skin inflammation due to the presence of diosgenin .fast liq
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Background: Early detection of subclinical left ventricular (LV) systolic dysfunction is crucial and could influence patients' prognosis by aiding the clinician to candidate patients for better management.
Objective: To detect early LV systolic dysfunction in asymptomatic patient with chronic aortic regurgitation by two dimensional speckle tracking echocardiography.
Methods: Sixty one asymptomatic patients with chronic aortic regurgitation, with no ischemic heart diseases (by coronary angiography) or conductive heart diseases, no diabetes mellitus, no hypertension, and no other valvular heart diseases (group 1) and fifty age and sex-matched healthy subjects (
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The current study used extracts from the aloe vera (AV) plant and the hibiscus sabdariffa flower to make Ag-ZnO nanoparticles (NPs) and Ag-ZnO nanocomposites (NCs). Ag/ZnO NCs were compared to Ag NPs and ZnO NPs. They exhibited unique properties against bacteria and fungi that aren't present in either of the individual parts. The Ag-ZnO NCs from AV showed the best performance against E. coli, with an inhibition zone of up to 27 mm, compared to the other samples. The maximum absorbance peaks were observed at 431 nm and 410 nm for Ag NPs, at 374 nm and 377 nm for ZnO NPs and at 384 nm and 391 nm for Ag-ZnO NCs using AV leaf extract and hibiscus sabdariffa flower extract, respectively. Using field emission-scanning electron microscopes (FE-
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ABSTRACT Background: Viral hepatitis places a heavy burden on the health care. Large number of patient with bleeding disorders has chronic hepatitis C infection, while few are chronic carriers of hepatitis B virus. Aims of study: evaluate the prevalence of HBV, HCV infection among patient with Von Willebrand disease and to find factors that associated with the chance of getting the infection.