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RISS 인기검색어
- 검색키워드
- 저자 : Al-Sharari, Shakir D. (검색결과 2 건)
- 무료
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Al-Sharari, Waad,Mahmood, Mahmood A.,Abd El-Aziz, A.A.,Azim, Nesrine A. International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.6
Novel Coronavirus (COVID-19) is viewed as one of the main general wellbeing theaters on the worldwide level all over the planet. Because of the abrupt idea of the flare-up and the irresistible force of the infection, it causes individuals tension, melancholy, and other pressure responses. The avoidance and control of the novel Covid pneumonia have moved into an imperative stage. It is fundamental to early foresee and figure of infection episode during this troublesome opportunity to control of its grimness and mortality. The entire world is investing unimaginable amounts of energy to fight against the spread of this lethal infection. In this paper, we utilized machine learning and deep learning techniques for analyzing what is going on utilizing countries shared information and for detecting the climate factors that effect on spreading Covid-19, such as humidity, sunny hours, temperature and wind speed for understanding its regular dramatic way of behaving alongside the forecast of future reachability of the COVID-2019 around the world. We utilized data collected and produced by Kaggle and the Johns Hopkins Center for Systems Science. The dataset has 25 attributes and 9566 objects. Our Experiment consists of two phases. In phase one, we preprocessed dataset for DL model and features were decreased to four features humidity, sunny hours, temperature and wind speed by utilized the Pearson Correlation Coefficient technique (correlation attributes feature selection). In phase two, we utilized the traditional famous six machine learning techniques for numerical datasets, and Dense Net deep learning model to predict and detect the climatic factor that aide to disease outbreak. We validated the model by using confusion matrix (CM) and measured the performance by four different metrics: accuracy, f-measure, recall, and precision.
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Atiq, Ayesha,Shal, Bushra,Naveed, Muhammad,Khan, Adnan,Ali, Jawad,Zeeshan, Sara,Al-Sharari, Shakir D.,Kim, Yeong Shik,Khan, Salman Elsevier 2019 european journal of pharmacology Vol.843 No.-
<P><B>Abstract</B></P> <P>5-Fluorouracil (5-FU) is one of the most commonly prescribed anti-cancer agent. However, its use is associated with several debilitating adverse effects such as intestinal mucositis (IM) and myelosuppression. Oxidative stress and inflammation are major contributors in the development of mucositis. Diadzein is known for its potent anti-inflammatory and anti-oxidative activities from decades. The present study focused on investigating the effects of diadzein on intestinal mucositis induced by 5-FU by mainly focusing on oxidative stress and inflammatory markers in mice. Mucositis was induced in mice by administration of 5-FU (50 mg/kg, i.p.), once daily for three days and diadzein (1, 5, 10 mg/kg) was administered once daily for seven days. Diadzein pretreatment was found to reduce the severity of mucosal injury in a dose-dependent manner. Diadzein significantly reversed weight loss, relieved diarrhea, and improved histopathological deformities associated with inflammation. Moreover, diadzein remarkably improved the intestinal wall histopathology by reducing inflammatory mediators infiltration and prevented suppression of antioxidants (glutathione, glutathione sulfo-transferase, and catalase) by 5-FU administration. Furthermore, nitrite production in intestinal tissue was reduced by diadzein consistent with the observed modulation of inflammatory markers. Additionally, diadzein also improved the amended microflora profile, by reducing the number of pathogenic bacteria and increasing the abundance of probiotics. Taken together, the behavioral, biochemical and histological outcomes of the present study demonstrates that diadzein has significant anti-mucositis properties in 5-FU induced mucositis model, and the attenuative potential of diadzein might be due to inhibition of oxidative stress and inflammatory mediators.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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