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Adenoid cystic carcinoma in the maxillary gingiva: a case report and immunohistochemical study 被引量:1
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作者 chi zhao Jin-Zhong Liu +1 位作者 Shu-Bin Wang Shi-Chang Wang 《Cancer Biology & Medicine》 SCIE CAS CSCD 2013年第1期52-54,共3页
Gingival adenoid cystic carcinoma (ACC) is a rare malignancy. We describe the diagnosis and treatment of a 43 year- old woman who presented with a persistent oral ulcer for approximately 1 year, and subsequent pain in... Gingival adenoid cystic carcinoma (ACC) is a rare malignancy. We describe the diagnosis and treatment of a 43 year- old woman who presented with a persistent oral ulcer for approximately 1 year, and subsequent pain in the left posterior maxillary region. Clinical examination revealed an ulcer in the left upper molar gingiva, with swelling in the region from the second premolar to the third molar. X-ray images demonstrated the involvement of the maxillary alveolar bone. The histopathological and immunohistochemical features were diagnostic of ACC. ACC is often presented as a gingival lesion; thus, it may easily be neglected by patients. The identification of this tumor using specific pathological analyses prevents misdiagnosis and enables clinicians to determine the appropriate treatment. In this case, no recurrence or distant metastasis was observed after 2 years of follow-up. 展开更多
关键词 腺样囊性癌 免疫组化 牙龈 病例报告 口腔溃疡 恶性肿瘤 治疗方案 病理组织学
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Network pharmacological analysis on the active ingredients of Yigan Powder in treating Alzheimer's disease with depressive disorder
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作者 chi zhao Rong-Juan Guo +3 位作者 Fei-Fei Ren Yao Yu Jun-Nan Li Yang Li 《Journal of Hainan Medical University》 2022年第2期40-47,共8页
Objective:To study the potential therapeutic effect of Yigan Powder on Alzheimer’s disease(AD)comorbid Depressive Disorder with Network Pharmacology.Methods:The active ingredients of Yigan Powder were screened from T... Objective:To study the potential therapeutic effect of Yigan Powder on Alzheimer’s disease(AD)comorbid Depressive Disorder with Network Pharmacology.Methods:The active ingredients of Yigan Powder were screened from Traditional Chinese Medicine Systems Pharmacology database and analysis platform(TCMSP)by ADME parameters,targets are predicted by Swiss Target Prediction database,disease targets are downloaded from GeneCards,OMIM and PharGKB database.Using R to run GO terms enrichment and KEGG pathway enrichment analysis.Protein interaction data is downloaded from the String database.Cytoscape software is used to build network.AutoDock Vina and PyMOL software are used for molecular docking.Results:There are 125 active ingredients in Yigan Powder with 953 predicted targets,85 of predicted targets are related to Alzheimer's Disease comorbid Depressive Disorder,shows highly enriched signaling pathways and biological processes.PPI network shows APP,MAPK1 and STAT3 may be important potential treatment of Alzheimer's Disease comorbid Depressive Disorder.The results of AutoDock Vina docking showed that the active ingredients of Yigan Powder had good binding activity with important receptors.Conclusion:Yigan Powder shows effect on neurotransmitter metabolism,synaptic transmission,neuroinflammation and other aspects in the treatment of Alzheimer's Disease comorbid Depressive Disorder. 展开更多
关键词 Yigan Powder Alzheimer’s disease Depressive disorder Network pharmacology
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Opinion Dynamics in Two-Layer Networks with Hypocrisy
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作者 chi zhao Elena Parilina 《Journal of the Operations Research Society of China》 EI CSCD 2024年第1期109-132,共24页
We propose a general concealed voter model(GCVM),in which individuals interact in two layers and can exchange their opinions in the internal layer.This interaction is not allowed in a CVM.By exchanging opinions in the... We propose a general concealed voter model(GCVM),in which individuals interact in two layers and can exchange their opinions in the internal layer.This interaction is not allowed in a CVM.By exchanging opinions in the internal layer,we mean that individuals share their real or internal opinions with their close friends.The process of opinion formation in GCVM is presented in the paper.We make the series of numerical simulations of GCVM with different network structures(both external and internal)and get some counterintuitive conclusions.For instance,we find out that sometimes with a relatively simple network structure of an external layer the consensus within the individuals’opinions cannot be reached,and if individuals in the network are not good at expressing their opinions publicly(in an external layer),exchanging opinions with their close friends(in an internal layer)is almost useless. 展开更多
关键词 Opinion dynamics Voter model Concealed voter model General concealed voter model
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