The paper quantizes symptom data through binary coding,divides 8 syndromes summed up by experts into excess and de-ficiency syndromes,values and quantizes them,and establishes the model for classification of excess and deficiency syndromes of colorec-tal cancer based on BP neural network and decision tree.The result shows that BP neural network classification model is more applicablefor the handling of the nonlinear mapping relation compared with decision tree classification model.

Objective:To develop a method for the rapid determination of 15 elements such as Al,Ca,Cr,Mg,Zn,K,B,Sr, Cd,Ba,Pb,As,Sb,Na and Li in ibuprofen injection by ICP-MS. Methods:After diluted by 2% nitric acid solution,the samples was determined directly by inductively coupled plasma mass spectrometry(ICP-MS)with the online internal standard to correct matrix interference and signal drifting. Results:The detection limits of the method were ranged from 0. 031 to 5. 1 μg·L-1 . The average recoveries were within the range of 82. 6% -107% and RSDs were all less than 5% . Conclusion:The method is rapid, accurate and highly sensitive,which can provide technical support for the quality control of ibuprofen injection.

Objective:To investigate the isolation characteristics and the antibiotic resistance of Streptococcus pneumoniae in hospitalized children from the Bao′an District of Shenzhen for many consecutive years, and to provide evidence for the assessment as well as clinical prevention and treatment of Streptococcus pneumoniae infection. Methods:The isolation rate and sample source of Streptococcus pneumoniae isolates as well as age composition of hospitalized children in Bao′an Maternal and Child Health Hospital of Shenzhen city from January 2012 to December 2018 were retrospectively analyzed.The susceptibility of the isolates to antibiotics was tested by disk diffusion method and E-test method. Results:(1) From 2012 to 2018, a total of 90 807 specimens were retrospectively summarized, 9 193 strains of Streptococcus pneumoniae were isolated, with an isolation rate of 10.1%, which was the first pathogen; 98.68% (9 072/9 193 cases) from respiratory tract samples and 97.20% from sputum samples.Among 107 strains isolated from aseptic body fluid specimens, 97 strains were blood specimens. Streptococcus pneumoniae was the most common bacteria with positive culture in aseptic body fluids.(2) The isolation rate of Streptococcus pneumoniae was 10.7% in children under 2 years old, 10.2% in children between 2 and 5 years old and 4.1% in children over 5 years old.About 97% of Streptococcus pneumoniae isolates came from children under 5 years old.(3) According to breakpoints of non-meningitis strains, the sensitivity rate of parenteral Penicillin was 93.18%, the mediation rate was 6.79%, the resistance rate was only 0.03%, the lowest drug concentration to inhibit the growth of 50% bacteria(MIC 50) value was 0.50 and the lowest drug concentration to inhibit the growth of 90% bacteria(MIC 90) value was 2.00; the sensitivity rate of Ceftria-xone was 76.55%, the mediation rate was 20.18%, the resistance rate was 3.26%, the MIC 50 value was 1.00 and the MIC 90 value was 2.00; when interpreted by the breakpoint of meningitis strains, the resistance rate of extra-gastrointestinal Penicillin reached 77.22%, and the mediation rate of Ceftriaxone increased to 30.48% and the drug resistance rate reached 18.45%.The drug resistance rates of Erythromycin, Clindamycin, Tetracycline and Compound neomycin were all over 85.00%.The resistance rates against Levofloxacin and Chloramphenicol were 0.16% and 7.85% respectively.No Vancomycin-resistant Streptococcus pneumoniae was found. Conclusions:Streptococcus pneumoniae is the first bacterial pathogen causing respiratory tract and invasive infection in hospitalized children under 5 years old in this area.Penicillin is still the preferred drug for non-meningitis pneumococcal infection, but the drug resistance rate is high in meningitis patients.