This study was aimed to investigate the protective effect of vitamin D on L-arginine induced acute pancreatitis in rats. Twenty eight white Albino rats of both sexes were divided into 4 equal groups. Negative control rats (group I) intra-peritoneally injected with normal saline, positive control (group II) rats induced acute pancreatitis with L- arginine, group III rats treated with a single dose of vitamin D, and group IV treated with single dose of vitamin D prior to first dose of L- arginine. Serum amylase, lipase and cytokines such as tumour necrosis factor –alpha (TNF-α), interleukin-1 beta (IL1β); in addition, my eloperoxidase (MPO) enzyme activity in the pancreas were measured. In acute pancreatitis group (group II), there was a significant elevation in all of previously-mentioned parameters compared to negative controls. Administration of vitamin D before first dose of arginine (group IV) produced a significant reduction in serum -amylase and -lipase as well as TNF-α and IL1β and MPO activity in pancreatic tissue compared to acute pancreatitis group (group II). In conclusion, the findings obtained from this study demonstrate the amelioration of pancreatic injury by vitamin D which may suggest the anti-inflammatory property of the intended vitamin and can be utilized in prevention of acute pancreatitis.
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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Release of industrial effluents comprising dyes in water bodies is one of the foremost causes of water pollution. Therefore, the proper and proficient treatment of these dyes contaminated left-over material before their release is crucial. Herein, an eco-friendly biological macromolecule Gum-Acacia (GA) integrated Fe3O4 nanoparticles composite hydrogel was manufactured via co-precipitation technique for effective adsorption of Congo red (CR) dye existing in water bodies. The as-prepared magnetic GA/Fe3O4 composite hydrogel was characterized by FTIR, XRD, EDX, VSM, SEM, and BET techniques. These studies discovered the fruitful fabrication of biodegradable magnetic GA/Fe3O4 composite hydrogel possessing porous structure with large surface are
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An experiment was conducted in pots under field conditions during fall seasons of 2017 and 2018. This study aimed to improve a weak growth of seedlings under salt stress in sorghum. Three factors were studied. 1st factor was three cultivars (Inqath, Rabeh, and Buhoth70). 2nd factor was seed priming (primed and unprimed seed). Seed were primed by soaking for 12 hours in a solution containing 300 + 70 mg L−1 of gibberellic (GA3) and salicylic (SA) acids, respectively. 3rd factor was irrigation with saline water (6, 9 and 12 dS m−1) resulting from dissolving sodium chloride in distilled water in addition to control treatment (distilled water). Randomized complete block design was used with four replications. In both seasons: the results sh
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