Occupational hazards pose a major public health challenge that seriously endangers the health of the working population. As a statutory key component of occupational health work, occupational health risk assessment urgently requires more attention. Currently, commonly used occupational health risk assessment methods exhibit notable deficiencies such as insufficient comprehensive assessment capabilities and limited applicability. The absence of assessment methods that accurately align with occupational health practices has constrained the depth and breadth of occupational health risk assessment in China, resulting in inadequate risk identification and significant deficiencies in social service provision, decision-making support, and health protection. Meanwhile, under the current assessment system, the occupational health big data obtained from risk assessments, occupational health examinations, biological monitoring, and other sources suffer from issues such as fragmented resources and low utilization rates. As a result, existing systems are unable to effectively support critical operational needs, including accurate risk early warning, timely risk response, and refined risk management. This study systematically reviewed the common occupational health risk assessment methods and the current status of occupational health risk assessment and big data applications in China, identified existing shortcomings, proposed a comprehensive risk assessment and risk prediction-early warning scheme based on the application of occupational health big data. The scheme is expected to provide theoretical foundations and methodological references for advancing comprehensive risk assessment of occupational health through big data analytics, and to enhance the level of occupational health management, thereby safeguarding worker health and promoting sustainable socioeconomic development.

Objective To analyze the influenza-like illness (ILI) data in Ordos City from 2017 to 2023 and conduct nucleic acid detection of the virus to understand the local influenza epidemic situation, and to provide a reliable basis for influenza prevention and control in the city. Methods Real-time quantitative polymerase chain reaction (qPCR) was used to identify virus subtypes in ILI throat swab samples. Comparisons of positive rates were conducted using the chi-square test, with a significance level of α=0.05. Results From 2017 to 2023, a total of 3,283,434 outpatient and emergency visits were recorded at the Ordos City Central Hospital, including 74,159 ILI cases, with an ILI proportion of 2.26%. The majority of ILI cases (74.43%) occurred in children aged 0~14 years old. The overall positive rate of influenza virus nucleic acid detection was 10.87%, with the highest proportion being subtype A (seasonal H3) at 43.03%. The highest detection rate was observed in the 5~14 years age group, with statistically significant differences in positive rates across age groups (χ²=155.638, P<0.001). Influenza peaks occurred mainly from November to March of the following year. From January to April, three types of influenza were prevalent alternately or mixed, while from October to December, subtype A (seasonal H3) predominated. Positive rates varied significantly across months (χ²=250.923, P<0.001). The temporal trends of ILI proportions and PCR-positive rates were consistent. Conclusion Influenza in Ordos City exhibits distinct seasonal and age distribution characteristics, with alternating or mixed circulation of three virus types. Continued efforts are needed to strengthen influenza surveillance, especially the prevention and control of influenza in infants and adolescents.

China's public hospitals have basically established a smart hospital construction framework of the"trinity"of smart medical care,smart service and smart management,and have achieved a series of results.However,in the process of construction,there are still obstacles such as"information islands",insufficient capital and technology investment,and difficulty in coordination between various systems.The construction of smart hospitals needs to build solutions from the three dimensions of system,resources and technology to promote the improvement of the refined and intelligent level of hospital management and promote the high-quality development of public hospitals.

China's public hospitals have basically established a smart hospital construction framework of the"trinity"of smart medical care,smart service and smart management,and have achieved a series of results.However,in the process of construction,there are still obstacles such as"information islands",insufficient capital and technology investment,and difficulty in coordination between various systems.The construction of smart hospitals needs to build solutions from the three dimensions of system,resources and technology to promote the improvement of the refined and intelligent level of hospital management and promote the high-quality development of public hospitals.

Objective:To analyze the changes in the management methods of large medical equipment in China, evaluate the equity of large medical equipment allocation planning from the 13th Five-Year Plan to the 14th Five-Year Plan.Methods:The literature research was used to sort out the characteristics and changes of the management of large medical equipment in China. The database was established to quantitatively analyze the existing number of large medical equipment at the end of the 13th Five-Year Plan and the planned number of large medical equipment at the end of the 14th Five-Year Plan, and then the fairness evaluation was carried out based on the Lorenz curve and Gini coefficient.Results:Since the 1980s, the management measures of large-scale medical equipment in China have been introduced and updated iteratively to meet the needs of social development and medical services. In addition to conventional radiotherapy equipment, the number of large medical equipment per million population in China at the end of the 14th Five-Year Plan at least doubled compared with the end of the 13th Five-Year Plan, among which the heavy ion radiotherapy system and the laparoscopic surgery system increased by more than two times. Lorenz curve analysis showed that the fairness of large medical equipment based on population distribution at the end of the 14th Five-Year Plan was better than that at the end of the 13th Five-Year Plan, especially for heavy ion proton radiotherapy system, high-end radiotherapy equipment and PET/MR. The Gini coefficient of large medical equipment planning based on population distribution during the 14th Five-Year Plan was generally smaller than that of the 13th Five-Year Plan. Except for the heavy ion proton radiotherapy system and PET/MR in North China, the Gini coefficient of the planned number of all kinds of equipment in the six regions of the country during the 14th Five-Year Plan was less than 0.4 based on population distribution, which was in a relatively fair state.Conclusions:The management of large medical equipment in China keeps pace with the times and constantly adapts to the new development stage of health care. The fairness of large medical equipment allocation planning based on population distribution in six regions of China has been steadily improved, and it is suggested that the fairness based on population distribution and the clinical application of existing equipment should be taken into account in the allocation planning.

Objective:To explore the value of machine-learning models based on magnetic resonance imaging(MRI)radiomics features for the preoperative prediction of the blood supply in pituitary neuroendocrine tumors.Methods:A retrospective analysis was performed on the clinical and imaging data of 136 patients with pathologically confirmed pituitary neuroendocrine tumors(diameter>10 mm)from April 2013 to April 2023 at Yi Jishan Hospital of Wannan Medical College.Based on the intraoperative findings,the patients were assigned into richly vascularized(n=50)and normally vascularized(n=86)groups.All patients were allocated randomly in a 7:3 ratio into a training(n=96)or a validation group(n=40).Three machine-learning algorithms,multivariate Logistic regression(LR),random forest(RF),and support vec-tor machine(SVM),were used to establish radiomics prediction models.Receiver operating characteristic(ROC)curves were plotted to eval-uate the diagnostic performance of the models;decision curve analysis(DCA)was used to assess the net clinical benefit of the models.Res-ults:The clinical model achieved areas under the ROC curve(AUC)of 0.74 and 0.82 in the training and validation groups,respectively.The radiomics models using T1-weighted imaging(WI),T2WI,T1WI-enhanced,and combined sequences achieved AUCs of 0.80,0.84,0.82,and 0.84 in the training group and 0.82,0.80,0.85,and 0.83 in the validation group,respectively.The LR,RF,and SVM models had AUCs of 0.85,0.87,and 0.84 in the training group and 0.85,0.85,and 0.83 in the validation group,respectively.All radiomics models demonstrated great-er diagnostic efficacy than the clinical model.DCA indicated that the LR,SVM,and combined-sequence models achieved good net clinical be-nefits;the LR model showed the best results.Conclusions:Machine-learning models based on MRI radiomics exhibit high predictive value,surpassing the clinical judgment of radiologists based on MRI images alone,and offer a favorable net clinical benefit.

Objective To analyze and assess the postoperative motor function in children with spastic cerebral palsy (SCP) by surface electromyography (sEMG) and joint angle. Methods Sixteen children with SCP were involved in this study. The sEMG of rectus femoris, biceps femoris, semitendinosus, tibialis anterior, lateral gastrocnemius and medial gastrocnemius muscles and joint angles of the hip, knee and ankle during straight walking were collected preoperatively and postoperatively. In every gait phase, the mean values of joint angles, root mean square and integrated electromyography of sEMG were calculated, to evaluate muscle strength and muscular tension quantitatively. Results The muscle tension of lower limbs was significantly decreased (P<0.05). The muscle strength of rectus femoris and biceps femoris was decreased in the swing phase. At the midswing and terminal swing phase, the strength of tibialis anterior increased significantly (P<0.05). The flexion angle of hip and knee decreased significantly (P<0.05). The dorsiflexion angle of ankle increased significantly (P<0.05), and the varus angle decreased significantly (P<0.05). Conclusions After operation, the crouching gait and clubfoot were improved positively. Therefore, the motor function of children was improved. Combining sEMG and joint angle can evaluate the muscle function of patients quantitatively, and it also can provide references for clinical diagnosis.

Objective : To investigate the role of N-methyladenosine(m6 A) demethylase ALKBH5 in the prolifera- tion and activation of cardiac fibroblasts( CFs) in rats． Methods : The CFs taken from SD rats in 1 to 3 days were isolated by differential adhesion and observed under microscope．After cells were adherently grown to appropriate density，the cells were induced by TGF-β1 for modeling．The model cells were divided into the overexpression of ALKBH5 group infected by lentivirus and the negative control group for 24－48 hours. RT-qPCR was used to detect mRNA expression of ALKBH5，α-smooth muscle actin( α-SMA) ，type I collagen ( Collagen Ⅰ ) and proliferating cell nuclear antigen (PCNA) ．The expression of ALKBH5、α-SMA、Collagen Ⅰ and PCNA were assayed by West- ern blot．The cell proliferation activity was tested by CCK-8 assay and EdU. Results : Compared with the control group，the protein and mRNA of ALKBH5 were reduced in the model group active by TGF-β1．Meanwhile，the bi- omarkers of activation，such as PCNA，α-SMA and Collagen Ⅰ , increased significantly．Besides，the protein and mRNA of PCNA、α-SMA and Collagen Ⅰ were lower in overexpression of ALKBH5 group than those of the negative control group．CCK-8 assay and EdU suggested that the proliferation viability of CFs was reduced evidently in over- expression of ALKBH5 group，compared with the negative control group． Conclusion Overexpression of ALKBH5 can inhibit the proliferation of CFs，suggesting that ALKBH5 may be a key regulatory point in the development of myocardial fibrosis.

Cinnamomum migao plants often face different degrees of drought in karst habitats, which can lead to plants’ death, especially in the seedling stage. Widespread of arbuscular mycorrhizal (AM) fungi in karst soils have the potential to address this drought, which is a threat to C. migao seedlings. We inoculated C. migao seedlings with spores from Glomus lamellosum and Glomus etunicatum, two AM fungi widely distributed in karst soils, to observe seedling growth response after simulated drought. Our results showed that 40 g of G. lamellosum and G. etunicatum significantly promoted the growth of C. migao seedlings, 120 days after inoculation. Following a 15-day drought treatment, root colonization of the seedlings with G. lamellosum or G. etunicatum had lower the accumulation of malondialdehyde (MDA) and increased the accumulation of enzymes and osmotic substances in the seedlings. The relative water content in different organs (roots, stems, and leaves) of the drought-stressed seedlings was higher in plants with G. lamellosum or G. etunicatum than in plants without AM fungi colonization. Our results showed that inoculation with AM fungi was an effective means to improve the drought resistance of C. migao seedlings.

Cinnamomum migao plants often face different degrees of drought in karst habitats, which can lead to plants’ death, especially in the seedling stage. Widespread of arbuscular mycorrhizal (AM) fungi in karst soils have the potential to address this drought, which is a threat to C. migao seedlings. We inoculated C. migao seedlings with spores from Glomus lamellosum and Glomus etunicatum, two AM fungi widely distributed in karst soils, to observe seedling growth response after simulated drought. Our results showed that 40 g of G. lamellosum and G. etunicatum significantly promoted the growth of C. migao seedlings, 120 days after inoculation. Following a 15-day drought treatment, root colonization of the seedlings with G. lamellosum or G. etunicatum had lower the accumulation of malondialdehyde (MDA) and increased the accumulation of enzymes and osmotic substances in the seedlings. The relative water content in different organs (roots, stems, and leaves) of the drought-stressed seedlings was higher in plants with G. lamellosum or G. etunicatum than in plants without AM fungi colonization. Our results showed that inoculation with AM fungi was an effective means to improve the drought resistance of C. migao seedlings.