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Heart fatty acid-binding protein (H-FABP) is supposed to be the most sensitive biomarker of early acute myocardial infarction (AMI). To evaluate the diagnostic value of H-FABP for AMI in the early stage, the plasma levels of H-FABP were measured by sandwich ELISA in 93 patients with suspected AMI at admission within 6 h after onset of chest pain and 69 normal healthy subjects. The plasma concentrations of cardiac troponin-I (cTnI), creatine kinase-MB (CK-MB) and myoglobin (Mb) were assayed at the same time by using corpuscle chemiluminescence for those patients. The patients were classified as AMI group (n=32) and non-AMI group (n=61) retrospectively. The diagnostic validity was evaluated in terms of sensitivity, specificity and receiver operating characteristic (ROC) curve analysis. The results showed the cutoff value of H-FABP for AMI was 16.8 ng/ml, and its diagnostic sensitivity for AMI was 64.29% within 3 h and 84.38% within 6 h after onset of chest pain, and the diagnostic specificity for non-AMI was 100% within 3 h and 91.8% within 6 h. H-FABP had higher sensitivity than that of cTnI and CK-MB at all time points (P0.05), whereas there was no significant difference in specificity among the four markers. But the area under the ROC curve of H-FABP was significantly greater than that of cTnI, CK-MB and Mb within 3 h. These results revealed that H-FABP possessed high diagnostic sensitivity and specificity for AMI in early stage, especially within 3 h after onset of persistent angina pectoris. In conclusion, H-FABP can be used as a sensitive marker for AMI in the early stage.

Vegetable industry plays a very important role in adjusting agricultural structure and increasing farmers' income. But many new and increasing competitive pressures derived from opening market, consumer growing behavior and global trade patterns had a strong exposure that the vegetable sector faces many types of uncertainty and price risk, while few means can provide true protection from price risk to vegetable industry stakeholders. So a decision support system for price risk management across vegetable supply chain (VegRisk) has been developed by China agricultural University. Based on questionnaire and interviews, we analyze the decision problems and user needs first, and the architecture and development of VegRisk were described subsequently, some conclusions are given finally.

During last 16 years we have successfully developed the computer-assisted vectorcardiogram analysis systems: model TJ-I, TJ-II, and TJ-III, but some technical problems remained unresolved, such as the recognition accuracy for vectorcardiograms, measurement of the parameters of complicated QRS waves, the ratio of T loop length to width, and the area of spatial vectors etc. A new system, model TJ-IV was designed to resolve these technical problems. The system was equipped with a 586 computer with a CPU of 120 MHz. Special new low-noise amplifier was employed and C language was used for programming. Three graph recognition techniques were used to enhance the accuracy of VCG recognition. 32 orthogonal electrocardiograms and vectorcardiograms were displayed and printed, and 566 parameters of vectorcardiograms were calculated. Our results with 150 cases showed that the system had high accuracy of graph recognition, and parameter calculation and the results were essentially consistent with those of manipulative methods. We were led to concluded when compared with TJ-III system, the new version has higher accuracy of processing and measurement for vectorcardiograms, is able to process more vectorcardiographic parameters, with higher processing speed.