ABSTRACT
Most viruses have RNA genomes, their biological functions are expressed more by folded architecture than by sequence
Among the various RNA structures, pseudoknots are the most typical. In general, RNA secondary structures prediction doesn't contain pseudoknots because of its difficulty in modeling
Here we present an algorithm of dynamic matching to predict RNA secondary structures with pseudoknots by combining the merits of comparative and thermodynamic approaches
We have tested and verified our algorithm on some viral RNA
Comparisons show that our algorithm and loop matching method has similar accuracy and time complexity, and are more sensitive than the maximum weighted matching method and Rivas algorithm. Among the four methods, our algorithm has the best prediction specificity. The results show that our algorithm is more reliable and efficient than the other methods
ABSTRACT
Objective To explore the diagnosis value of ultrasound-guided COre needle biopsy(CNB)and frozen sectionin breast cancer.Methods There were 41 cases of breast tumor which were suspicious with ultrasonography,and using Bard automatic biopsy device was applied for percutaneous puncture by ultrasound-guided in breast neoplasms.Tissue samples were harvested for frozen soetion pathologic examination.compared with 42 clinical cases of the turnour which suspicious with ultrasonography were excised in operation room(B group)during the same time.Results The outcome of frozen sections were finished in 30～40 miutes.Thirty-nine cases were diagnosed to be malignant,36 cases were infiltrated ductal carcino and 3cases were infiltrated lobular carcinoma,two cases were severely non-type hyperplasia the sensitivity of sonographically guided CNB for the diagnosis of breast cancer was 95.1%.one operation was finished in 60 to 120 minutes,the average is 68.19±12.41 minutes.In group B,sensitivity of diagnosis of breast cancer was 97.6%(P＜0.05).One operation was finished in 120 to 200 minutes,the average was127.88±11.50 minutes(P＜0.05).Conclusion It can achieved higHy diagnostic rate,and have benefit of setting down the operations program and the operating time was curtailed when breast cancer was utrasound-guided by CNB and examinede with frozen section.
ABSTRACT
Objective To analyze health insurance cost based business intelligence technology in which science and real-time environment,the intelligent support of scientific management and decision-making was provided for hospital health insurance operation.Methods The analysis model and various graphics and report analysis of statistical results were established by use of modern business intelligence tools to extract data.Results It is feasible and scientific to make further analysis of health insurance administration and decision-making.The insurance income,workloads and the medicare costs for patients are analyzed on multi-dimension and multi-angle conditions.Conclusion It is necessary to do a good job in the analysis of health insurance for scientific management and decision-making,which can control over-treatment and insurance spending,thus adequate quality of health care services are given by patients.