Object To study the effects of active fraction L.F04 from the ground part of Lycopus lucidus Turcz. var. hirtus Reg. on platelet aggregation and thrombosis formation and investigate its mechanisms of promoting blood circulation and removing blood stasis. Methods The effects of L.F04 on platelet aggregation induced by ADP in vivo, thrombosis of artery vein side road and thrombus formed in rotary loop in vitro were examined, the rat model of blood stasis made by injecting high molecular weight dextran (HMWD) was used. Results L.F04 0.408 and 0.204 g/kg evidently inhibited the ADP induced increase of platelet maximum aggregation rate in vivo in HMWD model, with a concentration dependent manner. Compared with the control group, the thrombus weight in rat model of blood stasis was increased significantly and the length of thrombus was shown an increasing trendency. L.F04 0.408 and 0.204 g/kg both shown the anti thrombosis effect. L.F04 0.408 g/kg showed better effects of lessening the thrombus dry weight and wet weight. Both L.F04 0.408 and 0.204 g/kg could inhibit the thrombosis of artery vein side road, the inhibition rates are separately 27.41% and 27.14%. Conclusion L. lucidus var. hirtus F04 could significantly inhibit platelet aggregation and thrombosis formation.

Occupational injuries cause a large number of personal injuries, illnesses, or deaths, resulting in a huge burden of disease, and has become an important global occupational safety and health problem. Developed countries in Europe and the United States have provided strong support for occupational injury prevention and control by establishing continuous and stable occupational injury surveillance systems. The occupational injury problem has not attracted enough attention and concern in China, with few relevant research reports, and the current occupational injury surveillance system is far from perfection. From the perspective of protecting workers' occupational health, this paper analyzed and compared the classification and scope of occupational injuries at home and abroad, as well as the status quo of occupational injury surveillance and assessment, and proposed to set up an occupational injury surveillance system with multiple surveillance methods and multiple data sources that complement with each other, so as to strengthen the continuity of surveillance activities, consistency of data formats, and comparability of assessment indicators. Step by step, we can set up a surveillance system covering the whole process of surveillance, assessment, intervention, and evaluation of intervention effects.

Objective:To understand the current situation of the construction of occupational health information system in China and put forward countermeasures and suggestions for the construction of occupational health information system.Methods:In November 2019 and April 2020, a cross-sectional survey was conducted on the occupational health information systems of national, provincial and some central enterprises. A total of 57 occupational health information systems were investigated, including 4 national systems, 44 provincial systems and 9 industrial systems. The terminal type, main function, construction type, user classification and main authority, computer terminal structure, data collection mode, data transmission mode, data docking are analyzed.Results:The four national level systems all adopt B/S structure, and all transmit network data through computer terminals. The main data acquisition mode is online acquisition and external system docking. Among the 44 provincial-level systems, 41 (93.18%) were self built systems, 75.00% (33/44) were computer terminals, and 90.91% (40/44) were B/s structures; 17 (38.64%) systems used multiple data acquisition methods; 13.64% (6/44) systems used multiple data transmission methodsand the main way of data transmission method is network report (88.64%, 39/44) ; 84.09% (37/44) of the system network access mode was Internet mode. Among the nine industry systems, 66.67% (6/9) of them deployed servers in the form of self built computer rooms, 77.78% (7/9) of them supported docking and reserved ports; 66.67% (6/9) of them used computer terminals, and 100.00% (9/9) of them used B/S structure; 77.78% (7/9) of them used manual filling for data collection.Conclusion:The construction of occupational health information system in China has many problems, such as scattered and separate construction, and lack of effective data sharing between related systems, it＇s urgent to unify the standard and plan as a whole.

Objective:To understand the current situation of the construction of occupational health information system in China and put forward countermeasures and suggestions for the construction of occupational health information system.Methods:In November 2019 and April 2020, a cross-sectional survey was conducted on the occupational health information systems of national, provincial and some central enterprises. A total of 57 occupational health information systems were investigated, including 4 national systems, 44 provincial systems and 9 industrial systems. The terminal type, main function, construction type, user classification and main authority, computer terminal structure, data collection mode, data transmission mode, data docking are analyzed.Results:The four national level systems all adopt B/S structure, and all transmit network data through computer terminals. The main data acquisition mode is online acquisition and external system docking. Among the 44 provincial-level systems, 41 (93.18%) were self built systems, 75.00% (33/44) were computer terminals, and 90.91% (40/44) were B/s structures; 17 (38.64%) systems used multiple data acquisition methods; 13.64% (6/44) systems used multiple data transmission methodsand the main way of data transmission method is network report (88.64%, 39/44) ; 84.09% (37/44) of the system network access mode was Internet mode. Among the nine industry systems, 66.67% (6/9) of them deployed servers in the form of self built computer rooms, 77.78% (7/9) of them supported docking and reserved ports; 66.67% (6/9) of them used computer terminals, and 100.00% (9/9) of them used B/S structure; 77.78% (7/9) of them used manual filling for data collection.Conclusion:The construction of occupational health information system in China has many problems, such as scattered and separate construction, and lack of effective data sharing between related systems, it＇s urgent to unify the standard and plan as a whole.

In order to promote the development of China's occupational injury surveillance system, this paper presented the legal basis, project overview, reporting procedures, definitions and stati statistical scope, data sources and collection standards, statistical data management and analysis points of the European Statistics on Accidents at Work (ESAW), and combined with existing research and related surveillance management system in China, five key points were proposed for constructing China's occupational injury surveillance system: 1) Establish and improve laws and regulations related to occupational injury surveillance; 2) Promote utilization of nation-level data systems; 3) Establish and optimize a sound national occupational injury surveillance system; 4) Provide standardized protocols for data collection and data application of occupational injury statistics; 5) Strengthen supervision and law enforcement targeting industries and enterprises.

Objective: To evaluate the performence of GeneXpert MTB/RIF and BACTEC-MGIT 960 on detecting Mycobacterium tuberculosis and rifampicin resistance for pneumoconiosis-associated tuberculosis patients. Methods: The recruited 133 suspected active pneumoconiosis-associated tuberculosis hospitalized cases, morning sputum samples were collected to do modified L-J culture, conventional proportion method drug susceptibility test, GeneXpert MTB/RIF and BACTEC-MGIT 960. Analyze the sensitivity and specificity of the 133 sputum from patients, the positive rates of patients with tuberculosis in GeneXpert MTB/RIF test, BACTEC-MGIT 960 and modified L-J culture were 37.59%, 34.59% and 30.08% respectively. There was no significant difference among the three tests respectively (P>0.05) . According to the modified L-J culture, the sensitivity of GeneXpert MTB/RIF and BACTEC-MGIT 960 in detecting tuberculosis were 92.5% and 95.0% respectively, and specificity in rifampicin resistance were 86.0% and 91.4% respectively. There was no significant difference between GeneXpert MTB/RIF and BACTEC-MGIT 960 (P>0.05) . According to conventional proportion method drug susceptibility test, the sensitivity of GeneXpert MTB/RIF and BACTEC-MGIT 960 in detecting rifampicin resistance were 90.0% and 100%, and specificity were 92.6% and 96.4%. There was no significant difference between GeneXpert MTB/RIF and BACTEC-MGIT 960 (P>0.05) . Conclusion The GeneXpert MTB/RIF has good performence of detecting tuberculosis and rifampicin resistance. It has good application value among pneumoconiosis-associated tuberculosis patients.

The new business forms are the new patterns of the job market extended by the use of mobile internet, big data, cloud computing, and other information technologies in the context of a new round of information technology development. In recent years, under the catalysis of the new employment model, a large number of new business employees have emerged such as food delivery riders, couriers, and online car-hailing drivers, whose employment forms are flexible and don’t fully conform to the establishment of labor relations with the employers, and whose problem of overtime work is common. The employment characteristics of new business forms of "focusing on performance and ignoring responsibility" make workers at great risks of occupational injuries and occupational health problems such as work-related musculoskeletal disorders, mental disorders, and overwork. However, the current research on occupational safety and health of workers in new business forms is insufficient, and the experience of institutional practice and supervision is also limited. Therefore, based on relevant research progress at home and abroad, this paper discussed the health injuries of workers in new business forms, summarized associated influencing factors from four aspects: employment form, employment affiliation, long working hours exposure, and institutional guarantee, and then proposed countermeasures to strengthen occupational safety and health protection of workers. For the current problems in the employment of new business forms, the government, enterprises, and workers need to work together to improve the legal and regulatory system for employment of new business forms, and standardize occupational safety and health management, thus effectively protect the occupational safety and health rights and interests of workers in new business forms.

During the career life cycle, workers may face various health problems such as occupational injuries, occupational diseases, and work-related diseases. How to comprehensively protect the health of workers is a crucial scientific issue that needs to be solved urgently. Workers show the characteristics of co-exposure to multiple occupational risks or co-existence of multiple health conditions in their occupational activities. Occupational injuries are closely related to occupational diseases and work-related diseases. To carry out prevention and control of occupational injuries in the context of "big health", we should further strengthen the systematic approach and highlight the concept of "overall process" and "all-round". That is to establish an occupational injury surveillance system covering the whole process of surveillance-assessment-intervention and the evaluation of intervention effects, and to set up the joint prevention and control strategy of occupational injuries, occupational diseases, and work-related diseases. This will promote the implementation of efficient and intensive health management at government, society, employers, workers and other levels to achieve all-round protection of workers' health. When exploring the possible effects of job burnout, occupational stress, comorbidity, and other factors on occupational injuries, the introduction of machine learning methods provides a new approach to identifying and analyzing the influencing factors of occupational injuries and to exploring potential underlying mechanisms.

Background Identification and analysis of influencing factors of occupational injury is an important research content of feature selection. In recent years, with the rise of machine learning algorithms, feature selection combined with Boosting algorithm provides a new analysis idea to construct occupational injury prediction models. Objective To evaluate applicability of Boosting algorithm-based model in predicting severity of miners' non-fatal occupational injuries, and provide a basis for rationally predicting the severity level of miners' non-fatal occupational injuries. Methods The publicly available data of the US Mine Safety and Health Administration (MSHA) from 2001 to 2021 on metal miners' non-fatal occupational injuries were used, and the outcome variables were lost working days < 105 d (minor injury) and ≥ 105 d (serious injury). Four different feature sets were screened out by four feature selection methods including least absolute shrinkage and selection operator (Lasso) regression, stepwise regression, single factor + Lasso regression, and single factor + stepwise regression. Logistic regression, gradient boosting decision tree (GBDT), and extreme gradient boosting (XGBoost) were selected to construct prediction models by training with the four feature sets. A total of 12 prediction models of severity of miners' non-fatal occupational injuries were built and their area under the curve (AUC), sensitivity, specificity, and Youden index were calculated for model evaluation. Results According to the results of four feature selection methods, age, time of accident occurrence, total length of service, cause of injury, activities that triggered injury occurrence, body part of injury, nature of injury, and outcome of injury were identified as influencing factors of non-fatal occupational injury severity in miners. Feature set 4 was the optimal set screened out by single factor+stepwise regression and the GBDT model presented the best predictive performance in predicting the severity of non-fatal occupational injuries. The associated specificity, sensitivity, and Youden index were 0.7530, 0.9490, and 0.7020, respectively. The AUC values of logistic regression, GBDT, and XGBoost models trained by feature set 4 were 0.8526 (95%CI: 0.8387, 0.8750), 0.8640 (95%CI: 0.8474, 0.8806), and 0.8603 (95%CI: 0.8439, 0.8773), respectively, higher than the AUC values trained by feature set 2 [0.8487 (95%CI: 0.8203, 0.8669), 0.8110 (95%CI: 0.8012, 0.8344), and 0.8439 (95%CI: 0.8245, 0.8561), respectively] . The AUC values of GBDT and XGBoost models trained by feature set 4 were higher than that of logistic regression model. Conclusion The performance of the prediction models constructed by predictors screened out by two feature selection methods is better than those by single feature selection methods. At the same time, under the condition of optimal feature set, the performance of model prediction based on Boosting is better than that of traditional logistic regression model.

Background The severity of occupational injury in countries such as the United Kingdom, the United States, and Germany is usually analyzed using lost workdays, but in existing occupational injury surveillance research in China, the application of this index is rare. Objective To evaluate the application value of lost workdays in non-fatal occupational injury surveillance, and provide a reference for the construction of occupational injury surveillance index system. Methods The public data of European Statistics on Accidents at Work (ESAW) from 2010 to 2019 on non-fatal injury accidents in 27 member states of the European Union were used. Non-fatal occupational injury is defined as an injury event during occupational activities or at work resulting a victim's absence from work for ≥4 d. According to the European Statistics on Accidents at Work-Summary methodology, the lost workdays were divided into 8 categories (4-6 d, 7-13 d, 14-20 d, 21-30 d, 31-91 d, 92-182 d, 183 d and above, and unknown). Annual percentage change (APC) and the average annual percentage change (AAPC) were used to evaluate the overall trend changes in the incidence rate of non-fatal occupational injury accidents in different lost workdays from 2010 to 2019, and the non-fatal occupational injury accidents in key industries. The characteristics of the occurrence of non-fatal occupational injuries were analyzed in conjunction with the changes in non-fatal occupational injuries in different lost workdays in the industry. Results From 2010 to 2019, the overall incidence of non-fatal occupational injury accidents in the European Union showed a downward trend, and the AAPC was −1.0% (P<0.05). The accident rates of lost workdays of 4-6 d and 92-182 d showed an upward trend, and the AAPC were 7.9% and 5.8% respectively (P<0.05). The average annual accident rates of non-fatal occupational injuries (≥4 d) in Categories C (manufacturing industry), E (water supply, sewage treatment, waste management and remediation), and F (construction industry) showed a linear downward trend, and the AAPC were −3.0%, −2.5%, and −1.5%, respectively (P<0.05). However, among them, the rate of non-fatal occupational injury accidents with 92-182 d of lost workdays in the manufacturing industry showed a significant upward trend, with an AAPC of 3.7% (P<0.001). Conclusion Using lost workdays combined with APC and AAPC by Join-point linear regression analysis can measure the severity and trend changes of non-fatal occupational injury accidents in different industries and different lost workdays. This indicator has an important practical significance in evaluating the effectiveness of occupational injury prevention and control strategies adopted by countries and enterprises.