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Objective: In the present study, Solenostemma argel effervescent tablets were prepared from Argel methanolic extract. Methods: The tablets were examined for their ability to impede carbon tetrachloride (CCl4)-induced lipid peroxidation in mice liver. The antioxidant activities of the enzymes; super-oxide dismutase (SOD), glutathione peroxidase (GS-PX) along with malondialdehyde level were tested in liver tissues. Results: The obtained results indicated that the antioxidant enzyme activities were remarkably reduced while the level of Malondialdehyde (MDA), which shows lipid peroxidation, and the activity of alanine aminotransferase (a liver function test) were remarkably intensified following intra-peritoneal i.p injection with the single sub-lethal hepatotoxic dose of CCl4 compared to the control. A necrotic lesion in the liver of mice injected with CCl4 was observed by the histopathological examination. The damaging influence of CCl4 was improved by the retreatment with Argel or BHT, which could also be observed in the normal appearance of the liver tissue. Conclusion: In this study, it was concluded that S. Argel and butylated hydroxytoluene (BHT) could be effective by decreasing lipid peroxidation and increasing the activities of antioxidant enzymes. Therefore, Argel might be applied as a hepatoprotective agent without any side effects.

In present times, the Internet of Things (IoT) is becoming the new era in technology by including smart devices in every aspect of our lives. Smart devices in IoT environments are increasing and storing large amounts of sensitive data, which attracts a lot of cybersecurity threats. With these attacks, digital forensics is needed to conduct investigations to identify when and where the attacks happened and acquire information to identify the persons responsible for the attacks. However, digital forensics in an IoT environment is a challenging area of research due to the multiple locations that contain data, traceability of the collected evidence, ensuring integrity, difficulty accessing data from multiple sources, and transparency in the process of collecting evidence. For this reason, we proposed combining two promising technologies to provide a sufficient solution. We used federated learning to train models locally based on data stored on the IoT devices using a dataset designed to represent attacks on the IoT environment. Afterward, we performed aggregation via blockchain by collecting the parameters from the IoT gateway to make the blockchain lightweight. The results of our framework are promising in terms of consumed gas in the blockchain and an accuracy of over 98% using MLP in the federated learning phase.

Background Overweight and obesity among children are progressively turning into global issues. Numerous factors have been linked to the proliferation of pediatric obesity. However, there are still questions as to whether the corresponding proliferation in the use of technology could be linked to the increase in body mass index (BMI) among children. The aim of this study is to investigate the association between high BMI in female elementary school-age children and time spent using electronic devices. Methods This is a cross-sectional study that was conducted across three female elementary schools located in Jeddah between 2017 and 2018. All schools which are affiliated with the Ministry of National Guard in Jeddah were included. Demographic data, school performance, sleep routine, physical activity, parents' beliefs, and family demographic data were collected from the legal custodian of the children. The research group visited schools to obtain children's BMI measurements. Results The number of participants who responded to the survey was 681. The results showed that the increase in BMI was non-significantly linked with the period spent using electronic devices, the use of electronic devices before sleep, nor the kind of device used. However, there was a significant association between high BMI and one type of electronic device: the television. There was a significant association between high BMI and the denial by parents that their children were obese. Furthermore, 50% of children were obese while 92.9% of overweight children's parents did not believe that there was a problem with the weight of their children. Conclusion There is no significant association between screen time spent on electronic devices and high BMI among female elementary school-age children. However, lack of physical activity, fast food consumption, and genetic predispositions are still major contributing factors for childhood obesity and overweight. Nearly all parents of children who are overweight did not perceive their children as being overweight, which brings to the fore the subject of lack of awareness about childhood obesity among parents.