Aiming at building research disciplines,Xijing hospital has initially achieved a strategic transformation into a hospital with research disciplines,with such measures as scientific layout of disciplines,making of advantageous disciplines with overseas benchmarks,encouragement of potential disciplines with advantageous disciplines,promotion of medical innovation with innovative ideas,and upgrading clinical service quality with technical innovation.

Objective To compare the transparency efficiency of six different optical clearing method on the rat brain tissues. Methods Brain tissue blocks of 14 SD rats were processed with iDISCO, SeeDB, CUBIC, SCALEVIEW-A2,CLARITY-CUBIC, Passive-CLARITY clearing method, respectively. Results The gray value of PBS group was 13.031 ± 0.586,that of iDISCO,SeeDB,CUBIC,SCALEVIEW-A2,CLARITY-CUBIC,passive-CLARITY clearing were 6.447 ± 0.574,11.690 ± 0.909,2.318 ± 0.986,8.118 ± 1.026,8.591 ± 0.384,4.198 ± 0.182, respectively. Except the SeeDB group(P=0.185),the rest groups showed significant differences compared with the PBS group(P< 0.01), and there were significant differences between CUBIC and other groups(P < 0.01). After the clearing treatment, the changes of tissue area ratio in the iDISCO, SeeDB, CUBIC, SCALEVIEW-A2, CLARITY-CUBIC, Passive-CLARITY method were(-30.02 ± 2.39)%,(19.74 ± 4.09)%,(14.7 ± 3.92)%,(10.7 ± 5.55)%,(23.01 ± 4.19)%,(66.51 ± 5.68)%,respectively. Each group showed a significant difference compared with the groups iDISCO and the Passive-CLARITY,P< 0.01. Conclusions Except the SeeDB method,all the clearing methods can achieve a transparent effect, while CUBIC is better than the other groups applied for rat brain tissues. The tissue block volume is shrunken after iDISCO clearing,and expanded after Passive-CLARITY processing.

Objective: To study the effect of noise on hypertension and hyperglycemia among occupational workers. Methods: Total 670 workers in an automobile manufacturing company were selected as the subjects of physical examination in 2017. According to the noise exposure or not, the subjects were divided into control group (no noise exposure) 143 and contact group (noise exposure) 527. Questionnaire survey and physical examination were conducted. The measurement data were analyzed by t-test, and the count data and grade data were analyzed by χ² test. The influence of noise on blood glucose, heart rate, blood pressure and other indicators was analyzed by logistic regression, and the OR and 95%CI of each risk factor were calculated. Results: The average age of the control group and the contact group was no significant difference (P>0.05) . There were 139 (20.7%) cases of high systolic pressure, 154 (23.0%) cases of high diastolic pressure, 63 (9.4%) cases of hyperglycemia, 29 (4.3%) cases of tachycardia. Compared with the control group, there were significant differences in systolic blood pressure, diastolic blood pressure and blood glucose in the contact group (P<0.05) . Compared with the control group, the systolic blood pressure, diastolic blood pressure and blood glucose of the subjects in the corresponding age contact group increased significantly (P<0.05) . The years of noise exposure were protective factors for systolic and diastolic blood pressure (OR=0.970, 0.973) . Conclusion Noise exposure may increase blood pressure and blood sugar of occupational workers, but the effect on heart rate can not be determined.