Free radicals and oxidative damage caused by them have being suggested to be involved in the pathogenesis of migraine. These may result from distorted equilibrium of pro-oxidant/anti-oxidant system that continuously generates and detoxifies oxidants during normal aerobic metabolism. Escape of such system from equilibrium leads to damage of cellular elements with the depletion of cellular stores of anti-oxidants material such as glutathione and vitamin E. Therefore, free radical scavengers (vitamin E or melatonin) seems to be of potential benefit as prophylactic anti-migraine therapy by neutralizing free radicals overproduction and possibly preventing formation of highly toxic intermediates (such as nitric oxide). In addition of being powerful antioxidant, melatonin was shown to possess promising effects in modulating severity, frequency and duration of migraine attacks. For this reason the present study was conducted to investigate the involvement of changed anti-oxidant defense (measured as total antioxidant status “TASâ€) during migraine attack and the possible modulation of such status by classical anti-migraine therapy (ergotamine), antioxidants (vitamin E and melatonin) and their combination. 23 normal subjects and 21 migraine patients with age range of (17-45) years were enrolled in the study. Patients were diagnosed according to neurologist decision to have migraine with and without aura. Migraine patients were divided into three treatment groups; first group treated with ergotamine alone, second group with ergotamine /vitamin E and third group with ergotamine /melatonin. All groups were advised to take their treatments during attacks. Blood samples were drawn from migraine patients and normal subjects before initiation of therapy and after pain has been relived (from migraine patients only) for the investigation of TAS . The results of the study showed that TAS was significantly lower in migraine patients in comparison to control healthy subjects (P<0.05) with a percent reduction ranged from 35.46% to 43.97%. However, there is no significant difference in the level of TAS among migraine patients (P>0.05). Treatment with ergotamine raised significantly the level of TAS by 157%. The addition of vitamin E or melatonin greatly raised TAS by 179% and 176% respectively. The addition of vitamin E to ergotamine showed superior effect to that when melatonin was added. The greater reduction in TAS seen in this study among migraine patients in comparison to control healthy subjects suggests the presence of generalized decrease in antioxidant defense elements. Elevation of TAS by all treatments was very clear. In conclusion the decrease in TAS can be implicated in the pathophysiology of migraine and enhancement of antioxidant system can add a beneficial effect for the management of migraine headache with the use of antioxidants (vitamin E or melatonin) with classical anti-migraine drug.
This work deals with the preparation of a zeolite/polymer flat sheet membrane with hierarchical porosity and ion-exchange properties. The performance of the prepared membrane was examined by the removal of chromium ions from simulated wastewater. A NaY zeolite (crystal size of 745.8 nm) was prepared by conventional hydrothermal treatment and fabricated with polyethersulfone (15% PES) in dimethylformamide (DMF) to obtain an ion-exchange ultrafiltration membrane. The permeate flux was enhanced by increasing the zeolite content within the membrane texture indicating increasing the hydrophilicity of the prepared membranes and constructing a hierarchically porous system. A membrane contain
In this article, a continuous terminal sliding mode control algorithm is proposed for servo motor systems. A novel full-order terminal sliding mode surface is proposed based on the bilimit homogeneous property, such that the sliding motion is finite-time stable independent of the system’s initial condition. A new continuous terminal sliding mode control algorithm is proposed to guarantee that the system states reach the sliding surface in finitetime. Not only the robustness is guaranteed by the proposed controller but also the continuity makes the control algorithm more suitable for the servo mechanical systems. Finally, a numerical example is presented to depict the advantages of the proposed control algorithm. An application in the rota
... Show MoreIn cognitive radio system, the spectrum sensing has a major challenge in needing a sensing method, which has a high detection capability with reduced complexity. In this paper, a low-cost hybrid spectrum sensing method with an optimized detection performance based on energy and cyclostationary detectors is proposed. The method is designed such that at high signal-to-noise ratio SNR values, energy detector is used alone to perform the detection. At low SNR values, cyclostationary detector with reduced complexity may be employed to support the accurate detection. The complexity reduction is done in two ways: through reducing the number of sensing samples used in the autocorrelation process in the time domain and through using the Slid
... Show MoreUltra-High Temperature Materials (UHTMs) are at the base of entire aerospace industry; these high stable materials at temperatures exceeding 1600 °C are used to manage the heat shielding to protect vehicles and probes during the hypersonic flight through reentry trajectory against aerodynamic heating and reducing plasma surface interaction. Those materials are also recognized as Thermal Protection System Materials (TPSMs). The structural materials used during the high-temperature oxidizing environment are mainly limited to SiC, oxide ceramics, and composites. In addition to that, silicon-based ceramic has a maximum-use at 1700 °C approximately; as it is an active oxidation process o
This study is dedicated to solving multicollinearity problem for the general linear model by using Ridge regression method. The basic formulation of this method and suggested forms for Ridge parameter is applied to the Gross Domestic Product data in Iraq. This data has normal distribution. The best linear regression model is obtained after solving multicollinearity problem with the suggesting of 10 k value.
In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks. To cope with this, new detection techniques are required especially the ones that use Artificial Intelligence techniques such as machine learning based intrusion detection and prevention systems. Many machine learning models are used to deal with intrusion detection and each has its own pros and cons and this is where this paper falls in, performance analysis of different Machine Learning Models for Intrusion Detection Systems based on supervised machine learning algorithms. Using Python Scikit-Learn library KNN, Support Ve
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