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Antiurolithic effect of olive oil in a mouse model of ethylene glycol-induced urolithiasis
Mohammed Alenzi,Shaik Rahiman,Bilal Ahmad Tantry 대한비뇨의학회 2017 Investigative and Clinical Urology Vol.58 No.3
Purpose: At present, commercially available antiurolithic drugs have more adverse effects than potential therapeutic or preventive effects with chronic use. With this in mind, the present study was designed to assess the antiurolithic effect of olive oil in a mouse model of ethylene glycol (EG)-induced urolithiasis. Materials and Methods: Adult albino mice were divided into 6 groups. Group I was fed the vehicle only. Group II was supplemented with 0.75% EG alone in drinking water during the experimental period to initiate deposition of calcium oxalate in kidneys, which leads to urolithiasis in animals. Groups III (olive oil control group) through V were fed olive oil orally at various doses during the experimental period. Group VI received cystone (750 mg/kg). Groups IV–VI additionally received 0.75% EG in drinking water ad libitum. SPSS ver.17.0 was used for statistical analysis. Results: The study results showed significantly higher levels of serum urea, uric acid, and creatinine (p<0.05) in group II than in groups III–VI and I. Administration of olive oil at different doses restored the elevated serum parameters in groups IV and V compared with group II. Urine and kidney calcium, oxalate, and phosphate levels in groups IV–VI were significantly lower (p<0.05) than in animals with EG-induced urolithiasis (group II). Group V mice showed a significant restoration effect on serum as well as urine and kidney parameters compared with group II. Conclusions: Supplementation with olive oil (1.7 mL/kg body weight) reduced and prevented the growth of urinary stones, possibly by inhibiting renal tubular membrane damage due to peroxidative stress induced by hyperoxaluria.
Diagnosing a Child with Autism using Artificial Intelligence
Alharbi, Abdulrahman,Alyami, Hadi,Alenzi, Saleh,Alharbi, Saud,bassfar, Zaid International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.6
Children are the foundation and future of this society and understanding their impressions and behaviors is very important and the child's behavioral problems are a burden on the family and society as well as have a bad impact on the development of the child, and the early diagnosis of these problems helps to solve or mitigate them, and in this research project we aim to understand and know the behaviors of children, through artificial intelligence algorithms that helped solve many complex problems in an automated system, By using this technique to read and analyze the behaviors and feelings of the child by reading the features of the child's face, the movement of the child's body, the method of the child's session and nervous emotions, and by analyzing these factors we can predict the feelings and behaviors of children from grief, tension, happiness and anger as well as determine whether this child has the autism spectrum or not. The scarcity of studies and the privacy of data and its scarcity on these behaviors and feelings limited researchers in the process of analysis and training to the model presented in a set of images, videos and audio recordings that can be connected, this model results in understanding the feelings of children and their behaviors and helps doctors and specialists to understand and know these behaviors and feelings.
Access Control Models for XML Databases in the Cloud
Alfaqir, Shumukh,Hendaoui, Saloua,Alhablani, Fatimah,Alenzi, Wesam International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.5
Security is still a great concern to this day, albeit we have come a long way to mitigate its numerous threats. No-SQL databases are rapidly becoming the new database de-facto, as more and more apps are being developed every day. However, No-SQL databases security could be improved. In this paper, we discuss a way to improve the security of XML-based databases with the use of trust labels to be used as an access control model.