A newly developed production machine was introduced, which was used to produce radioisotope capsule for medical treatment. The machine can produce radioisotope capsule at different dose for treating different patients. Also, the machine can do real time detection to the production and automatically record information during production. The exploitation of the equipment avoids the side effects of using liquor radioisotope.

Objective To construct Fisher discrminant functions with index of ultrasonography. Methods A total of 48 non-neoplastic ovarian cysts, 137 benign and 120 malignant ovarian tumors were enrolled in this study. Taking ultrasonographic parameters and Doppler blood flow signals as differential diagnosis variable, a diagnosis model was developed using stepwise discriminant analysis. Then a projection and territorial map were drew and the diagnostic ability of the model was verified with substitution method and jackknife. Results ①Univariate analysis indicated that ovarian cysts volume, end-diastolic blood flow velocity (V_(ED)), mean blood flow velocity (V_m), resistance index (RI), pulse index (PI), physical property, echo, shape, boundary, ascites and blood flow signal have statistical difference among the three kinds of ovarian cysts. ②Stepwise discriminant analysis showed that volume, resistance index, physical property, shape and boundary are the independent prognostic variables. The two Fisher discriminant functions were as following: Function 1=0.002volume-4.793 RI+0.468physical property+0.862shape+0.901boundary-4.076, Function 2=0.005volume-1.480 RI+0.851physical property-0.291shape+0.443boundary+0.524. ③The projective positions of three kinds of ovarian cysts at 2D coordinates were clear. ④The sensibility and specificity of mode for diagnosis non-neoplastic ovarian cysts, benign and malignant ovarian tumors was 91.67%, 88.32% and 93.33% with substitution method, and was 91.67%, 86.13% and 93.33% with jackknife method. Conclusion Cysts volume, RI, physical property, shape and boundary are the significant differential prognostic variables. Fisher discriminant analysis can provide a reliable prognostic model for ovarian cysts.

Objective To investigate the possible mechanism of metoprolol on protecting against ischemia‐reperfusion in‐duced injury .Methods A total of 32 healthy 3-4 months male C57BL/6 mice were divided into four groups(n=8)as following :Sham‐operating group(control group);metoprolol group;ischemia‐reperfusion group(I/R group);metoprolol + I/R group .Myo‐cardial injury ,apoptosis ,cytochrome c release ,Caspase‐3 activity and calpain activity were determined in these groups .Results Al‐though there was no obvious changes in the regions at risk between I/R group and metoprolol + I/R group ,metoprolol pretreat‐ment significantly reduced the ratio of the infarct to risk regions(P<0 .05) .In the I/R group ,the rate of cardiomyocyte apoptosis , cytochrome c release ,as well as the activity of Caspase‐3 and calpain significantly increased compared to the control group(P<0 .01) .However ,these effects of I/R injury were alleviated by pretreatment with metoprolol .Conclusion metoprolol might protect against ischemia‐reperfusion induced injury by preventing calpain activation .