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https://www.selleckchem.com/products/jph203.html Deep learning methods have been applied to Chinese named entity recognition for the online medical consultation. They require a large number of marked samples. However, no such database is available at present. This paper begins with constructing a larger labelled Chinese texts database for the online medical consultation. Second, a basic framework unit is proposed, which is pre-trained by the transfer learning from both Bidirectional language model and Mask language model trained on the larger unlabelled data. Finally, cross domains adversarial learning (CDAL) for Chinese named entity recognition is proposed to further improve the performance, which not only uses the pre-trained basic framework unit, but also uses the adversarial multi-task learning on both electronic medical record texts and online medical consultation texts. Experimental results validate the effectiveness of CDAL.Inflammatory bowel disease (IBD) is an important chronic condition associated with the infection affecting the gastrointestinal tract (G.I.) in dogs. Several factors' viz. gastrointestinal tract lymphoid tissue (GALT), permeability defects, genetic, ischemic, biochemical, psychosomatic disorders, infectious and parasitic agents, dietary allergies, and adverse drug reactions are associated with inflammatory bowel disease. The most noticeable clinical signs are vomiting, diarrhea, changes in appetite, weight loss, anorexia, ascites and peripheral edema. Nitric oxide (NO), a pleiotropic free radical messenger molecule plays an immense role in playing mucosal inflammation in the intestine through activation of NO synthase enzyme (iNOS). The complex mechanism associated with inflammation in the G.I. tract is also correlated with the expression of iNOS, enzymatic activity, and NO production. NO exerts a beneficial role in maintaining epithelial permeability as well as the immune response in acute colitis. But the excessive production of NO cause

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