Presentation of Epilepsy in a Patient with Wilson's Disease and Developmental Venous Anomaly (Venous Angioma) in the Brain

Intracranial developmental venous anomalies (DVAs), also called venous angiomas, and Wilson's disease are both considered rare disorders with varying degrees of neurologic and systemic manifestations; yet the coexistence of the two disorders is considered extremely rare, bearing in mind the low prevalence of each disorder. Epilepsy is a recognised presentation in these disorders and will be the focus of discussion in our report of a 21-year-old male patient who, based on a clinical examination and laboratory and neuroimaging results, was diagnosed with both Wilson's disease and DVA. He presented initially at Sultan Qaboos University Hospital, Oman with tremors and writing difficulties in the right hand followed by the development of epilepsy, and was treated medically by de-coppering and antiepileptic medications. We also present a brief literature review of both disorders, their association with epilepsy, and treatment options. Family screening for patients with Wilson’s disease is pivotal in preventing unfavourable outcomes.

Design of smart wireless changeover for continuous electric current feeding from power sources of variable capacities

Electric power has become a vital element for life today. Despite this importance, electric power consumers in Iraq suffer from the problem of noncontinuity and daily electric power supply interruption. This problem led to the use of various sources of electric power as an alternative to compensate for the shortage of electric power provided by the Iraqi national grid. In this work, a smart wireless changeover device is designed using wireless sensor networks technology aiming to solve problem caused by the multiplicity of power sources received at home and governmental buildings in Iraq by controlling operation of some electrical devices (which consume high current) in the home or workplace automatically when changing source of electricity from one to another. This solution will help to ensure the continuity of electric current feeding from power sources of variable capacities, also, to rationalize power consumption by assigning an operation priority to electric devices. Furthermore, a statistical measurement as a case study was performed in a building with a total power consumption of 160.8 KW/h. The result showed that the device functions effectively and it is capable of achieving an average saving in power of about 50% to 86% depending on the applied priorities and case study scenario

Texture Analysis of smear of Leukemia Blood Cells after Exposing to Cold Plasma

Plasma physics and digital image processing technique (DIPT) were utilized in this research to show the effect of the cold plasma (plasma needle) on blood cells. The second order statistical features were used to study this effect. Different samples were used to reach the aim of this paper; the patients have leukemia and their leukocytes number was abnormal. By studying the results of statistical features (mean, variance, energy and entropy), it is concluded that the blood cells of the sample showed a good response to the cold plasma

Use of Low-Cost Adsorbent for Copper and Lead Removal from Aqueous Solutions

In this study, the effect of the use of environmentally friendly materials (sawdust) in the reduction of some heavy elements of industrial wastewater was studied. The removal of lead and copper elements was tested. In order to evaluate the effect of this material and other factors in increasing the efficiency of removal, different concentrations of heavy elements of lead and copper (5, 10, 15, 20) mg/l and contact time (10, 20, 30, 40) were tested. The effect of pH was also investigated at levels of (3,5,7,10) as well as the impact of the amount of sawdust used and the rate of speed of Mixing was (75,100,150,250) rpm. The results showed that the highest lead removal efficiency was (95%) when using 2 gm of sawdust at ten pH. In comparison, the highest removal efficiency of copper (was 92.5%) when the pH (7) and the study of the number of revolutions and contact time. The results were good indicators when the value of the agitation speed was 75 rpm. Lead removal was 98%, and copper was 94.5% at a speed of 100 rpm. The result also recorded a significant effect of time on the removal efficiency; the efficiency of removal of copper is 90-94% at 30 min while the removal efficiency of lead 70-73% the 34-40 minute period

Reliable Aerial Mobile Communications with RSRP & RSRQ Prediction Models for the Internet of Drones: A Machine Learning Approach

The unmanned aerial vehicle (UAV) industry is moving toward beyond visual line of sight (BVLOS) operations to unlock future internet of drones applications, including unmanned environmental monitoring and long-range delivery services. A reliable and ubiquitous mobile communication link plays a vital role in ensuring flight safety. Cellular networks are considered one of the main enablers of BVLOS operations. However, the existing cellular networks are designed and optimized for terrestrial use cases. To investigate the reliability of provided aerial coverage by the terrestrial cellular base stations (BSs), this article proposes six machine learning-based models to predict reference signal received power (RSRP) and reference signal received quality (RSRQ) based on the multiple linear regression, polynomial, and logarithmic methods. In this regard, first, a UAV-to-BS measurement campaign was conducted in a 4G LTE network within a suburban environment. Then, the aerial coverage was statistically analyzed and the prediction methods were developed as a function of distance and elevation angle. The results reveal the capability of terrestrial BSs in providing aerial coverage under some circumstances, which mainly depends on the distance between the UAV and BS and flight height. The performance evaluation shows that the proposed RSRP and RSRQ models achieved RMSE of 4.37 dBm and 2.71 dB for testing samples, respectively