Xiaojie Fan

BACKGROUND: Medical staff is the main force behind the construction of a healthy China. As a result of increasing social pressure, doctors are at high risk for diseases such as "sudden death" and "overwork death". It is essential that the physical and mental health of medical staff be assessed and long-term mechanisms be introduced to care for medical staff. This study sought to investigate the health status, work pressure, and occupational environments of medical staff at level A tertiary public hospitals in Shanghai to provide a basis for exploring the establishment of long-term mechanisms for the exquisite and precise care of medical staff. METHODS: A questionnaire was administered to employees at 10 level A tertiary public hospitals in Shanghai using a random sampling method; 50 medical staff were surveyed at each hospital. A descriptive analysis of the data was conducted using R language. RESULTS: A total of 478 questionnaires were collected; thus, the recovery rate was 95.6%. The analysis revealed that 61% of the medical staff surveyed believed that their health was "good," and 57% believed that they were under high pressure. Over 50% of medical staff were moderately satisfied with their practice environment and salary; however, staff's satisfaction evaluations were affected by their academic qualifications (degrees), work positions, and other factors. Reasonable salary is the primary motivating and demotivating factor. CONCLUSIONS: The party organization can play a leading role in contacting and serving employees. Further, 4 caring systems for health protection, welfare benefits, safety protection, and career planning should be offered to medical staff to ensure they are cared for with elaboration and precision.

As the first of the five economic tasks, it is obvious that the current situation of excessive industrial capacity cutting is serious. As the precursory industry under the excessive industrial capacity cutting, iron and steel industry attaches great importance of central government. In order to further promote the structural reform and pays special attention to the excessive industrial capacity cutting task of iron and steel industry, the country puts forward some suggestions within one is "Removing the city steel mill under the environmental protection ". And it faced many risks and challenges. This article is discussed mainly aimed at the fund-raising problems of moving.

There is a necessary combustion facility called the flare stack to ensure production safety in every petrochemical plant, smelter, and refinery all over the world. Because of the incomplete combustion of flare gas, the flare stack discharges a large amount of smoke into the atmosphere and make it dirty. The air pollution is becoming more and more serious caused worldwide concern. Hence, there is in desperate need of an efficient and available smoke detection method to protect the atmosphere. To this end, we present a novel Self-Attention Weight Transformer (SAWT) that can detect accurately smoke, then guarantee full combustion of the flare stack. First, we are concerned about the weight relationship between channels and draw on the self-attention mechanism in the MobileViT block structure to adaptively adjust channel-wise feature weight. Second, we leverage short connections to thoroughly learn and fuse local and global features. Results of experiments on a real smoke dataset reveal that the proposed SAWT achieves superior performance to the popular deep CNNs and state-of-the-art smoke detection algorithms.