To investigate the formation mechanism of calcium hexaluminate(CaAl_(12)O_(19), CA_6), the analytically pure alumina and calcia used as raw materials were mixed in CaO/Al_2O_3 ratio of 12.57:137.43 by mass. The...To investigate the formation mechanism of calcium hexaluminate(CaAl_(12)O_(19), CA_6), the analytically pure alumina and calcia used as raw materials were mixed in CaO/Al_2O_3 ratio of 12.57:137.43 by mass. The raw materials were ball-milled and shaped into green specimens, and fired at 1300-1600°C. Then, the phase composition and microstructure evolution of the fired specimen were studied, and a first principle calculation was performed. The results show that in the reaction system of CaO and Al_2O_3, a small amount of CA_6 forms at 1300°C, and greater amounts are formed at 1400°C and higher temperatures. The reaction is as follows: CaO ·2Al_2O_3(CA_2) + 4Al_2O_3 → CA_6. The diffusions of Ca^(2+) in CA_2 towards Al_2O_3 and Al^(3+) in Al_2O_3 towards CA_2 change the structures in different degrees of difficulty. Compared with the difficulty of structural change and the corresponding lattice energy change, it is deduced that the main formation mechanism is the diffusion of Ca^(2+) in CA_2 towards Al_2O_3.展开更多
Given the breakthroughs in key technologies,such as image recognition,deep learning and neural networks,artificial intelligence(AI)continues to be increasingly developed,leading to closer and deeper integration with a...Given the breakthroughs in key technologies,such as image recognition,deep learning and neural networks,artificial intelligence(AI)continues to be increasingly developed,leading to closer and deeper integration with an increasingly data-,knowledge-and brain labor-intensive medical industry.As society continues to advance and individuals become more aware of their health needs,the problems associated with the aging of the population are receiving increasing attention,and there is an urgent demand for improving medical technology,prolonging human life and enhancing health.Digestive system diseases are the most common clinical diseases and are characterized by complex clinical manifestations and a general lack of obvious symptoms in the early stage.Such diseases are very difficult to diagnose and treat.In recent years,the incidence of diseases of the digestive system has increased.As AI applications in the field of health care continue to be developed,AI has begun playing an important role in the diagnosis and treatment of diseases of the digestive system.In this paper,the application of AI in assisted diagnosis and the application and prospects of AI in malignant and benign digestive system diseases are reviewed.展开更多
基金financially supported by the National Nature Science Foundation of China(No.51172120)
文摘To investigate the formation mechanism of calcium hexaluminate(CaAl_(12)O_(19), CA_6), the analytically pure alumina and calcia used as raw materials were mixed in CaO/Al_2O_3 ratio of 12.57:137.43 by mass. The raw materials were ball-milled and shaped into green specimens, and fired at 1300-1600°C. Then, the phase composition and microstructure evolution of the fired specimen were studied, and a first principle calculation was performed. The results show that in the reaction system of CaO and Al_2O_3, a small amount of CA_6 forms at 1300°C, and greater amounts are formed at 1400°C and higher temperatures. The reaction is as follows: CaO ·2Al_2O_3(CA_2) + 4Al_2O_3 → CA_6. The diffusions of Ca^(2+) in CA_2 towards Al_2O_3 and Al^(3+) in Al_2O_3 towards CA_2 change the structures in different degrees of difficulty. Compared with the difficulty of structural change and the corresponding lattice energy change, it is deduced that the main formation mechanism is the diffusion of Ca^(2+) in CA_2 towards Al_2O_3.
基金Supported by Key Discipline of Liaoning Traditional Chinese Medicine Clinical Ability Promote Construction Project, No. LNZYXZY201903Development Guidance Plan Projects in Liaoning Province, No. 2019JH-8/10300028
文摘Given the breakthroughs in key technologies,such as image recognition,deep learning and neural networks,artificial intelligence(AI)continues to be increasingly developed,leading to closer and deeper integration with an increasingly data-,knowledge-and brain labor-intensive medical industry.As society continues to advance and individuals become more aware of their health needs,the problems associated with the aging of the population are receiving increasing attention,and there is an urgent demand for improving medical technology,prolonging human life and enhancing health.Digestive system diseases are the most common clinical diseases and are characterized by complex clinical manifestations and a general lack of obvious symptoms in the early stage.Such diseases are very difficult to diagnose and treat.In recent years,the incidence of diseases of the digestive system has increased.As AI applications in the field of health care continue to be developed,AI has begun playing an important role in the diagnosis and treatment of diseases of the digestive system.In this paper,the application of AI in assisted diagnosis and the application and prospects of AI in malignant and benign digestive system diseases are reviewed.
基金supported by the National Natural Science Foundation of China(Nos.61222310,61174142,and 61374021)the Zhejiang Provincial Natural Science Foundation of China(No.LZ14F030002)+1 种基金the Specialized Research Fund for the Doctoral Program of Higher Education of China(Nos.20120101110115 and 20130101110109)the Fundamental Research Funds for the Central Universities,China(No.2014XZZX003-12)