This paper describes the basic theories and means of fuzzy logic fault diagnosis. Aiming at the faults that appears in air heater,the fuzzy relation matrix used for its fault diagnosis is constructed. Based on that,the air heater fault diagnosis examples are given. Application results show that it is feasible to apply the method of fuzzy diagnosis to diagnose air heater faults and the method is simple and valid.

Aged ; Chemical and Drug Induced Liver Injury ; Heart Failure ; Humans ; Hydrazones ; adverse effects ; Pyridazines ; adverse effects

Objective:To explore the application of failure mode and effects analysis (FMEA) in low-energy X-ray intraoperative radiotherapy (IORT), analyze its potential risks in IORT, and preliminarily explore the feasibility of FMEA in optimizing IORT management and reducing the occurrence of potential risks.Methods:An FMEA working group was established by the IORT team (1 radiologist, 1 radiology physicist, 2 surgeons, and 2 nurses) to apply the FMEA methodology to conduct a systematic risk assessment. The process modules were established, the potential failure modes and causes for each module were analyzed, the severity (SR), frequency of occurrence (OR) and likelihood of detection (DR) of failure modes were scored and the risk priority number (RPN) was calculated: RPN= SR × OR × DR. The possible errors and potential clinical impact of each part of the radiotherapy process were prospectively analyzed and understood, the causes and current measures were analyzed for each failure mode and preventive measures were proposed and risk management measures were taken accordingly.Results:The IORT process was divided into 8 modules with 14 failure modes. The highest OR value was unsatisfactory target area confirmation (7 points), the highest SR value was equipment failure to discharge the beam (10 points), the highest DR value was wrong key entry after dose calculation (7 points), the highest RPN values were unsatisfactory target area confirmation (210 points) and ineffective protection of endangered organs (180 points). Weaknesses were corrected according to priorities, workflows were optimized and more effective management methods were developed.Conclusion:FMEA is an effective method of IORT management and contributes to reducing the occurrence of potential risks.

The anxiety level of Chinese medical students is higher than the norm.Medical students have varying degrees of mental health problems.The mental health level of medical students is not only related to the individual growth and development of students,but also related to the quality of national medical and health professionals.Therefore,this paper analyzes the influencing factors and countermeasures of medical students'mental health,in order to promote the mental health of medical students and further promote the development of medical and health undertakings in China.

Interpretation of syndrome differentiation is a necessary topic for the research on intelligent syndrome differentiation. The syndrome differentiation system of traditional Chinese medicine （TCM） is huge， with diverse and interrelated interpretations， and non-standardized linguistic expressions， while detailed interpretations involve complex basic theories and literature of TCM， resulting in a challenging organization of the system. From the perspective of text mining， this article analyzed the limitations of existing intelligent syndrome differentiation research， clarified the importance and necessity of constructing a syndrome differentiation interpretation system， and proposed the idea of constructing an interpretation system including conceptual system， logical system， evaluation system， and visualization presentation. Future research can continue to refine the structure， logical and semantic relationships， as well as evaluation methods of the interpretation system based on this ideas， present concrete examples， and build the interpretation corpus by utilizing various data sources such as textbooks， medical records， medical discourse， and papers， to provide technicians with standard reference and data support for TCM syndrome differentiation interpretation.

At present, the somatic function assessment of the elderly mostly depends on the doctor's observation and the scale evaluation, and there isn't the objective and quantitative assessment criteria. In this paper, we design and construct a digital system for the geriatric somatic function assessment, which is based on digital ground, inertial unit, mobile terminal and PC terminal. The gait and balance parameters of the elderly were obtained by the Time Up and Go test and five postures test. Based on the linear regression model of gait and balance parameters, the system was used to evaluate the somatic function of the elderly. The experimental results show that the system not only can accurately distinguish elderly between fall and non-fall, but also has a high correlation between the score of the system and the score of clinical geriatric physical function scale.

In order to evaluate the ability of Parkinson's patients to walk comprehensively, a system based on MEMS to aid clinical quantification of ability in Parkinson's is established. The inertial units are respectively fixed on the back and the waist of subject to be measured. The Kalman fusion algorithm is used to extract the characteristic parameters of accelerometer and gyroscope data. SVM classifier is designed to train and test the classifier by the feature. The results show that the system possesses a high recognition rate for Parkinson's patients and normal subjects and for the classification of the walking ability of patients with Parkinson's disease. So, this system can aid doctors to give more object diagnostic conclusion.