How to Differentiate and Treat Bi-syndrome by Acupuncture and Moxibustion?Bi-syndrome is the syndrome due to invasion of the exogenous pathogenic factors of wind, cold and dampness, which obstruct the channels and col...How to Differentiate and Treat Bi-syndrome by Acupuncture and Moxibustion?Bi-syndrome is the syndrome due to invasion of the exogenous pathogenic factors of wind, cold and dampness, which obstruct the channels and collaterals, leading to stagnated flow of qi and blood, characterized by such clinical manifestations as aching pain, numbness, heaviness, limited flexion and extension of the muscles, tendons and joints, or swelling and burning heat of the joints. This syndrome includes rheumatic arthritis, rheumatoid arthritis, osseous arthritis, and various neuralgia. The endogenous causative factors for the occurrence of Bi-syndrome are insufficiency of yang-qi, essence and blood, while the exogenous causative factors are the pathogenic wind, cold, and dampness. At the initial stage of the disease, the excessiveness of pathogen usually prevails, and the disease tends to be located in the limbs, skin and muscles, and channels and collaterals; while at the chronic stage, there often exists deficiency of the vital-qi or deficiency and excess intermixed, and the disease tends to be located deeper in the tendons and bones or in the zang-fu organs.展开更多
College classes are becoming increasingly large.A critical component in scaling class size is the collaboration and interactions among instructors,teaching assistants,and students.We develop a prototype of an intellig...College classes are becoming increasingly large.A critical component in scaling class size is the collaboration and interactions among instructors,teaching assistants,and students.We develop a prototype of an intelligent voice instructorassistant system for supporting large classes,in which Amazon Web Services,Alexa Voice Services,and self-developed services are used.It uses a scraping service for reading the questions and answers from the past and current course discussion boards,organizes the questions in JavaScript object notation format,and stores them in the database,which can be accessed by Amazon web services Alexa skills.When a voice question from a student comes,Alexa is used for translating the voice sentence into texts.Then,Siamese deep long short-term memory model is introduced to calculate the similarity between the question asked and the questions in the database to find the best-matched answer.Questions with no match will be sent to the instructor,and instructor’s answer will be added into the database.Experiments show that the implemented model achieves promising results that can lead to a practical system.Intelligent voice instructor-assistant system starts with a small set of questions.It can grow through learning and improving when more and more questions are asked and answered.展开更多
文摘How to Differentiate and Treat Bi-syndrome by Acupuncture and Moxibustion?Bi-syndrome is the syndrome due to invasion of the exogenous pathogenic factors of wind, cold and dampness, which obstruct the channels and collaterals, leading to stagnated flow of qi and blood, characterized by such clinical manifestations as aching pain, numbness, heaviness, limited flexion and extension of the muscles, tendons and joints, or swelling and burning heat of the joints. This syndrome includes rheumatic arthritis, rheumatoid arthritis, osseous arthritis, and various neuralgia. The endogenous causative factors for the occurrence of Bi-syndrome are insufficiency of yang-qi, essence and blood, while the exogenous causative factors are the pathogenic wind, cold, and dampness. At the initial stage of the disease, the excessiveness of pathogen usually prevails, and the disease tends to be located in the limbs, skin and muscles, and channels and collaterals; while at the chronic stage, there often exists deficiency of the vital-qi or deficiency and excess intermixed, and the disease tends to be located deeper in the tendons and bones or in the zang-fu organs.
基金The authors wish to thank their colleagues and students who were involved in this study and provided valuable implementation and technical support.The research is partly supported by general funding at IoT and Robotics Education Lab and FURI program at Arizona State University and is partly supported by China Scholarship Council,Guangdong Science and Technology Department,under Grant Number 2016A010101020,2016A010101021,and 2016A010101022Guangzhou Science and Information Bureau under Grant Number 201802010033.
文摘College classes are becoming increasingly large.A critical component in scaling class size is the collaboration and interactions among instructors,teaching assistants,and students.We develop a prototype of an intelligent voice instructorassistant system for supporting large classes,in which Amazon Web Services,Alexa Voice Services,and self-developed services are used.It uses a scraping service for reading the questions and answers from the past and current course discussion boards,organizes the questions in JavaScript object notation format,and stores them in the database,which can be accessed by Amazon web services Alexa skills.When a voice question from a student comes,Alexa is used for translating the voice sentence into texts.Then,Siamese deep long short-term memory model is introduced to calculate the similarity between the question asked and the questions in the database to find the best-matched answer.Questions with no match will be sent to the instructor,and instructor’s answer will be added into the database.Experiments show that the implemented model achieves promising results that can lead to a practical system.Intelligent voice instructor-assistant system starts with a small set of questions.It can grow through learning and improving when more and more questions are asked and answered.
