Objective To cure various clinical manifestation of spontaneous pneumothorax(SP) through various measures. Methods BZ According to different clinical manifestation and pneumothorax compression degree. We could use artificial airbleeder, blocking drainage and pleural adhesion to test the effect. Results 74 out of 78 patients had been cured through proper measures. Conclusion SP can be cured by proper measures.

OBJECTIVE To improve the work quality in department of nosocomial infection management,and make the "The Year of Hospital Management" action go on effectively.METHODS To look into and analyze the difficulty point in the work of nosocomial infection management.RESULTS Lots of difficulty points about nosocomial infection management existed in departments of nosocomial infection management of 24 hospitals and affected the management quality of nosocomial infection.CONCLUSIONS Solving the difficulty points about nosocomial infection management,it can make the work of nosocomial infection go on smoothly,and improve the medical care quality.

The independent component analysis is a new method for signal processing, which has been paid attention to in the field of biomedical engineering. This paper introduces the design of biopotential analysis system based on ICA neural network and discusses its foundamental components.

Infant acute lymphoblastic leukemia B (B-ALL) accounts for 10% of childhood ALL. Eighty percent of infant B-ALL was caused byMLL gene rearrangement (MLL-r). The overall survival rate of ALL was less than 35% in infants with MLL-r. Among infant ALL with MLL-r, infants with positivefusion geneMLL-AF4 (MA4) formed by chromosome t (4;11) had even poor prognosis. Studies in monozygotic twins and archived blood spot at birth had veriifed that fusion gene MA4 originated from antenatal. Whole genome sequencing found that t (4;11) alone might be sufifcient to spawn leukemia. This paper is going to summarize the advances in biological characteristics such as clinical features, cellular origin, genomics and disease models of normalMLL gene and infant B-ALL withMA4.

Objective To enhance the students’ performance ability in the massage, acupuncture and moxibustion teaching and objectify the operation practice. Methods To utilize the miniature sensing technology,collect the various physical signals,quantify the technique parameter after computer information processing. Results Students’practice of massage,acupuncture and moxibustion can be visualized to meet the requirement of teaching experiment in massage, acupuncture and moxibustion,which shows that this research can innovatively solve the problem of the deficiency of quantity index in the teaching of massage and acupuncture.

Objective:To explore the diagnostic value of mammography and ultrasonography(US)in diagnosis of breast disease with microcalcifications.Methods:Seventy-eight cases with breast microcalcifications were detected by mammography.The detection rate of breast microcalcification at US was analyzed.And the sensitivity,specificity and the accuracy of US in diagnosis breast disease with microcalcifications was compared with these of mammography.Results:The detection rate of breast microcalcification was 66.7%,And US depicted more malignant(87.5%)than benign microcalcification(33.3%).The sensitivity specificity and accuracy of US was 68.7%、83.3%、 74.3%respectively,and the sensitivity specificity and accuracy of mammography was 72.9%、 73.3%、75.6%respectively,there were no significant difference between the two methods.The sensitivity,specificity and accuracy of the combined the two methods was 89.6%,90.0%,92.3% respectively.Conclusion:US can effectively detect and identify the breast microcalicications.The combination can improve the assessment of breast disease with microcalicications,and has a significant clinical practical value in diagnosis of early breast cancer.

Objective To investigate the effects of left dorsolateral prefrontal cortex with 10HZ , 80%motor threshold repetitive transcranial magnetic stimulation ( rTMS ) on the cognitive function in unipolar depression. Method Sixty-nine patients with unipolar depression were randomly assigned to either the real rTMS group or the sham rTMS treatment( the control group) ,all patients were given extended releasing venlafaxine. the cognitive function was evaluated using P300 and Repeatable battery for the assessment of neuropsychological status ( RBANS-immediate memory, visuospatial, language, attention, delayed memory, total score), Wisconsin card sorting test ( WCST-Right responses, Completed categories, Total errors , Preservative errors, Nonpreservative errors ). The depression severity was assessed with the 24-item Hamilton Rating Scale for Depression(HAMD-24). All of tests were examined before and after six weeks with thirty times rTMS. Results At the end of six weeks treatments, regarding the WCST,real rTMS group showed better improvement in the right responses than control group(33.23±10.29 vs 27.09 ± 9.82, F= 16. 116 , P= 0. 000), besides right responses, real rTMS group had better performance in the rest items than control group(F=4.862 ～ 17.758, P= 0.031 ～ 0.000) ;concerning the RBANS, real rTMS group was significantly superior to control group in total score( (88.83 ± 16.48 ) vs (78.85 ± 13.51 ), F= 8. 425,P = 0. 005 ), besides total score , the real rTMS group had better performance in some rest factors than control group (F= 10.088 ～20. 801, P=0. 002 ～0.000);real rTMS group showed better improvement in the amplitude of P3than control group( (8.27 ± 2.97 ) μV vs ( 7.37 ± 2.66) μV, F= 5. 838 , P=0.018 ) ;real rTMS group demonstrated better improvement in HAMD-24 than control group( (4.7 ±2.4)vs ( 11.2 ±5.1 ), F= 29.537, P=0. 000).Conclusion rTMS can significantly improve cognitive function and depressive symptoms with unipolar depression.

Wavelet transform(WT) is a powerful technique in signal separation and can improve the signal-to-noise ratio by separating the white noise and useful signal.The method in the paper introduces the concepts of Wavelet transform.According to the analysis of Wavelet coefficients between the noise and signal at different levels,the appropriate filter is realized.The patch clamp experiment results demonstrate the feasibility of the method.

The nonlinear wavelet method is used to detect ECG signal. The ECG signal disrupted by high-frequency noise is decomposed with a dyadic Daubechies wavelet according to Mallat algorithm. The principle of the nonlinear wavelet detection method is discussed. Along with the Lipschitz criterion, it is applied to denoising the disrupted ECG signal. The ECG signal is effectively recovered while denoised.

In allusion to high labor intensity, low working efficiency and high error rate in hospital laboratory, a detection system of the enzyme-linked analyzer based on Multiscan EX instrument is developed. Being easy to operate, the detection system proves effective in enhancing working efficiency. It deserves popularizing because of its comprehensive applications to the detection.