Objective To study the value of zoledronic acid combined with psychological intervention in osteoporotic vertebral compression fractures in percutaneous balloon kyphoplasty (PKP). Methods 72 patients with osteoporotic vertebral fractures underwent PKP operation from August 2013 to August 2015 were randomly divided into observation group and control group,with 36 cases,in each group. The patients in the control group were given salmon calcitonin after operation. The patients in the observation group were given zoledronic acid after operation. Both patients were given psychological care. The total effective rate of clinical treatment and the incidence of secondary osteoporotic vertebral compression fractures,Visual analogue pain scale before and after treatment (VAS), Oswestry dysfunction index questionnaire (ODI) score, bone mineral density T value changes were compared between the two groups. Results The total effective rate was 94.44% in the observation group and 77.78% in the control group (P<0.05). The recurrence fracture rate was significantly lower than that of the control group (P<0.05). After treatment, the scores of VAS and ODI in the observation group were significantly lower than those in the control group (P<0.05). The T value of bone mineral density was significantly higher than that of the control group (P<0.05). Conclusion Zoledronic acid combined with psychological intervention can effectively improve the effective rate of PKP after osteoporotic vertebral compression fractures, increase bone density and reduce the incidence of fracture, which is worthy of clinical application.

Objective: To investigate the chromosomal aberration rate, micronucleus cell rate and the related factors of radiation workers in Changzhou, provide evidence for the occupational health and safety of radiation workers. Methods: Descriptive analysis of the chromosomal aberration rate, micronucleus cell rate and the related factors of 3021 radiation workers who conducted occupational health examination in the Changzhou Center for Disease Control and prevention in 2017, multivariate logistic regression was used to analyze the data. Results: The abnormal rate of chromosome aberration and micronucleus cells of 3021radiation workers in Changzhou were 1.32% and 3.34% respectively. The results of multivariate logistic regression showed that the exposure year (OR=1.501, 95%CI:1.078~2.089, P=0.016) was a risk factor for chromosome aberration. The risk of chromosome aberration in radiation therapy (OR=6.417, 95%CI:1.360~30.280, P=0.019) and interventional radiology (OR=4.598, 95%CI:1.688~12.524, P=0.003) was higher than that of industrial application. the exposure year (OR=1.245, 95%CI:1.007~1.539, P=0.043) is also a risk factor for micronucleus cell rate. The micronucleus cell rate abnormality Risk of nuclear medicine (OR=3.934, 95%CI:1.305~11.858, P=0.015) , radiation therapy (OR=3.802, 95%CI:1.101~13.128, P=0.035) , and interventional radiology (OR=2.953, 95%CI:1.324~6.584, P=0.008) is higher than industrial application. Conclusion The chromosome aberration rate and micronucleus rate of workers who are exposed to low dose ionizing radiation for long time are related to the exposure year of radiation workers and the occupational categories involved.

Due to the ability of overcoming both the dimensionality and the collinear problems of the spectral data, partial least squares ( PLS ) is in ever increasingly used for quantitative spectrometric analysis, especially for near-infrared spectrum, mid-infrared spectrum and Raman spectrum. In this work, an improved PLS algorithm is proposed for efficient information extraction and noise reduction. The spectral variables are clustering to several subsets, and several sub-models are built for each subset. Then, the sub-models are re-weighted and ensemble to the final model. Experiments on two near-infrared datasets ( octane number prediction in gasoline and nicotine prediction in tobacco leafs ) demonstrate that the new method provides superior prediction performance and outperformed the conventional PLS algorithm, and the root mean square error of prediction ( RMSEP) is reduced by 32% and 22%, respectively.