Based on our research and data analysis, we have made an in-depth study of the elements that have had an impact on the archiving of those office records from the automated office management system. In addition, we als...Based on our research and data analysis, we have made an in-depth study of the elements that have had an impact on the archiving of those office records from the automated office management system. In addition, we also offered a few suggestions about archiving such electronic office records more efficiently and effectively from a holistic perspective. In this paper, these authors discussed at some length about the following issues which included but limited to the unique features and requirements about the offline record transmission, the online record archiving, the requirements of electronic archiving stemming from the automated office document generating system, how to make the electronic business management system more congenial to its task-specific requirements for business records management and how to protect the system users' interest during the process of the system's continuous evolutionary development.展开更多
Jin Zijiu(金子久),taught by his father Jin Zhishi(金芝石),is a famous doctor in the late Qing Dynasty and the early Republican period(1840-1928).With remarkable medical skills and high medical ethics,Jin Zijiu has lot...Jin Zijiu(金子久),taught by his father Jin Zhishi(金芝石),is a famous doctor in the late Qing Dynasty and the early Republican period(1840-1928).With remarkable medical skills and high medical ethics,Jin Zijiu has lots of students and is especially good at treating warm diseases.By analyzing one prescription of Jin Zijiu preserved in Shanghai Museum of Traditional Chinese Medicine(上海中医药博物馆),this article explains his academic thought and clinical experience and shows his superb literary and artistic accomplishment.展开更多
Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can ...Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number of very useful goals when used by computers.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.70773088)
文摘Based on our research and data analysis, we have made an in-depth study of the elements that have had an impact on the archiving of those office records from the automated office management system. In addition, we also offered a few suggestions about archiving such electronic office records more efficiently and effectively from a holistic perspective. In this paper, these authors discussed at some length about the following issues which included but limited to the unique features and requirements about the offline record transmission, the online record archiving, the requirements of electronic archiving stemming from the automated office document generating system, how to make the electronic business management system more congenial to its task-specific requirements for business records management and how to protect the system users' interest during the process of the system's continuous evolutionary development.
文摘Jin Zijiu(金子久),taught by his father Jin Zhishi(金芝石),is a famous doctor in the late Qing Dynasty and the early Republican period(1840-1928).With remarkable medical skills and high medical ethics,Jin Zijiu has lots of students and is especially good at treating warm diseases.By analyzing one prescription of Jin Zijiu preserved in Shanghai Museum of Traditional Chinese Medicine(上海中医药博物馆),this article explains his academic thought and clinical experience and shows his superb literary and artistic accomplishment.
文摘Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number of very useful goals when used by computers.
