Objective A correlation method for evaluating operation quality of air conditioning systems is proposed , based on the outdoor and the indoor temperature history data of the terminal user from internet of things for the central air conditioning system , for lacking efficient way to evaluate . Methods A methematical model is set up based on the variance ratio of the data of the indoor and out temperture obtained from IOT within a given time interval , and theoretically induce the possibility and correctness to employ these index to evaluate the operation quality of the central air conditioning system . Results A typical central air conditioning system of a large sacal hospital is analyzed , the results shows the variance ratio of the indoor and outdoor temperature can reflect the capacity of the central air conditioning system for controlling the indoor temperature . Conclusion The method proposed for evaluating the op-eration quality of the air conditioning system based on IOT system is theotically correct and practically efficient , and can be employed to evaluate the operation quality of the air conditioning system of large scale medical buildings .

Objective: To investigate the value of MRI in the early diagnosis of diagnosis of dysbaric osteonecrosis. Methods: Labor hygiene investigation and occupation health were examined on 52 high pressure operating personnel, were selected for the examination of both shoulders, hips and knees with X-ray and CT scan. Results: The cystic sign in dysbaric osteonecrosis as an important imaging feature, which perform in the MRI examination for T1W I sequence showed low or slightly low signal and T2W I sequence showed high signal, and X-ray and CT have a lower detection rate than MRI. The Kappa consistency test showed a high consistency with the two methods. At the same time MRI examination also can discover the bone marrow cavity necrosis early pathological change. Conclusion MRI is an effective method for the diagnosis of early dysbaric osteonecrosis, which can improve the early diagnosis rate of dysbaric osteonecrosis.

Background::Life’s Simple 7, the former construct of cardiovascular health (CVH) has been used to evaluate adverse non-communicable chronic diseases (NCDs). However, some flaws have been recognized in recent years and Life’s Essential 8 has been established. In this study, we aimed to analyze the association between CVH defined by Life’s Essential 8 and risk of 44 common NCDs and further estimate the population attributable fractions (PAFs) of low-moderate CVH scores in the 44 NCDs.Methods::In the UK Biobank, 170,726 participants free of 44 common NCDs at baseline were included. The Life’s Essential 8 composite measure consists of four health behaviours (diet, physical activity, nicotine exposure, and sleep) and four health factors (body mass index, non-high density lipoprotein cholesterol, blood glucose, and blood pressure), and the maximum CVH score was 100 points. CVH score was categorized into low, moderate, and high groups. Participants were followed up for 44 NCDs diagnosis across 10 human system disorders according to the International Classification of Diseases 10th edition (ICD-10) code using linkage to national health records until 2022. Cox proportional hazard models were used in this study. The hazard ratios (HRs) and PAFs of 44 NCDs associated with CVH score were examined.Results::During the median follow-up of 10.85 years, 58, 889 incident NCD cases were documented. Significant linear dose-response associations were found between higher CVH score and lower risk of 25 (56.8%) of 44 NCDs. Low-moderate CVH (<80 points) score accounted for the largest proportion of incident cases in diabetes (PAF: 80.3%), followed by gout (59.6%), sleep disorder (55.6%), chronic liver disease (45.9%), chronic kidney disease (40.9%), ischemic heart disease (40.8%), chronic obstructive pulmonary disease (40.0%), endometrium cancer (35.8%), lung cancer (34.0%), and heart failure (34.0%) as the top 10. Among the eight modifiable factors, overweight/obesity explained the largest number of cases of incident NCDs in endocrine, nutritional, and metabolic diseases (35.4%), digestive system disorders (21.4%), mental and behavioral disorders (12.6%), and cancer (10.3%); however, the PAF of ideal sleep duration ranked first in nervous system (27.5%) and neuropsychiatric disorders (9.9%).Conclusions::Improving CVH score based on Life’s Essential 8 may lower risk of 25 common NCDs. Among CVH metrics, avoiding overweight/obesity may be especially important to prevent new cases of metabolic diseases, NCDs in digestive system, mental and behavioral disorders, and cancer.

Objective To study the composition and concentration of atmospheric particulate pollutants in four seasons in the industrial and clean living areas， and to provide a scientific basis for the strategy of controlling industrial pollution and atmospheric environment. Methods An industrial area dominated by the automobile industry in Shanghai and a relatively clean living area were selected. Samples were collected simultaneously in both areas and continuously for 7 days in the middle of each season. The composition and concentration of PM_2.5 were determined， and the ecological risk of heavy metals in PM_2.5 was evaluated by the potential ecological risk index method. Results We found PM_2.5 concentration was associated with seasonal changes. The PM_2.5 concentration in living areas was the highest in winter， followed by spring， and the lowest in summer. The PM_2.5 concentration in industrial areas was the highest in spring， followed by winter， and the lowest in summer. The heavy metals in PM_2.5 were the same， including Al， Cr， Mn， Ni， As， Cd， Hg and Pb. The content of Cr， Cd and Pb in PM_2.5 in the industrial area is significantly higher than that in the living area. The potential ecological hazard coefficient of PM_2.5 heavy metal Cd in the industrial zone was the highest， up to 189.47， and it was the main component of the total potential ecological hazard index of heavy metals. According to the total potential risk grade of heavy metals， the heavy metal Cd in the industrial area had different degrees of ecological harm with seasonal changes. The ecological harm degree of heavy metal Cd was the highest in winter， high in spring and autumn， and low in summer. Conclusion Although the concentration of PM_2.5 in the industrial area is not higher than that in the living area， the content of Cr， Cd and Pb in the PM_2.5 in the industrial area is significantly higher than that in the living area. The concentration of PM_2.5 in the industrial area is mainly related to seasons， industrial production and human factors. The potential ecological harm coefficient of heavy metal Cd in PM_2.5 is the highest in comparison with other heavy metals such as Cr， Hg and Pb， and it is the main component of the total potential ecological harm index ofheavy metals.