The collected massive data during the breeding process usually cost plenty of human power. Therefore, it is urgent to create highly-efficient specific breeding data analysis software to assist breeders to screen fine varieties. For this reason, this paper developed a breeding data management analysis system by taking MyEclipse as development tool, which covers various statistical analysis techniques. In the development process of each algorithm module, JNI technology is adopted to realize Java-called DLL and complete algorithm call, improving the execution efficiency of a large number of arithmetical operations. This paper introduced Java-called DLL by aid of JNI technology in One-Way ANOVA in details and the parameter passing between Java and C++ and how to realize Java-called DLL in the operating system without C++ operating environment. Through the above-mentioned call, the advantages of C++ and Java are comprehensively considered, which not only lightens the burden of Java virtual machine and avoids the repeatability, but also improves the efficiency of arithmetical operation and the utilization rate of codes.

BackgroundTranscription factors bind to response elements on the promoter regions of genes to regulate transcriptional activity. One of the major problems with identifying transcription factors is their low abundance relative to other proteins in the cell. Developing a purification technique specific for transcription factors is crucial to the understanding of gene regulation. Promoter trapping is a method developed that uses the promoter regions as bait to trap proteins of interest and then purified using column chromatography. Here we utilize this technique to study the telomerase promoter, which has increased transcriptional activity in cancer cells. Gaining insight on how to control the enzyme at the promoter level may give new routes towards cancer treatments.ResultsOur findings show that the telomerase promoter (−170 - +91) and Promoter Trapping isolate a transcriptionally active and reproducible complex, when analyzed by liquid chromatography tandem mass spectrometry. We were also able to identify transcription factors, including AP-2 and SP1 known to bind this promoter, as well as show that these two proteins can bind to each other’s response element.ConclusionHere we focus on verifying the ability and versatility of Promoter Trapping coupled with additional well-characterized methods to identify already known factors responsible for telomerase transcriptional regulation.Electronic supplementary materialThe online version of this article (doi:10.1186/s12953-014-0053-2) contains supplementary material, which is available to authorized users.

After the emergency occurred, emergency supplies are an important guarantee for the emergency response activities in chemical park. Rapid procurement and rational transfer of emergency supplies are the key to improve the efficiency of emergency response. Based on the construction needs and development trends of the "smart park" concept, an integrated process of emergency supplies management is proposed in this article. It covers all aspects of emergency supply, such as procurement, storage, inspection, maintenance, and transshipment. Meanwhile, taking Shanghai Chemical Industry Park (SCIP) as a case, an Emergency Supply Reserve Management System (ESRMS) is puts forward according to the current management model of the park. In order to realize dynamic management, maintenance, procurement, transshipment, and other functions the software platform is developed. According to the research results, the role of supplies in emergency response activities was systematically expounded, which strengthened the central position of Emergency Response Center (ERC) of chemical park. It can provide some reference for the management of similar chemical parks.