Objective To construct a platform for in silico elongation and batch analysis of Schistosoma japonicum(Sj) ESTs, acquire the potential novel genes and research the expression profile of the genes. \ Methods\ On the basis of Linux operating system and local ESTs database of Sj, the BLAST and PHRAP softwares were used to construct a program to achieve the elongation of ESTs. Stand\|alone BLAST search against the nr database helped analyze the elongated sequence. After finishing the batch analysis script, the platform was used to research the Sj gene expression profile and acquire the potential novel genes. \ Results \ The platform showed satisfactory efficiency and fidelity. 487 elongated sequences obtained from 552 and 307 elongated sequences showed high homology within the nr database downloaded from NCBI. Furthermore, 104 elongated sequences displayed significant homology but showed no homology before elongated. 27 potential novel genes were filtered out. \ Conclusion \ An effective platform for Sj ESTs data mining was accomplished and further information on the potential novel genes was acquired.

The computer network system is the core of a smart hospital,and the requirements for network architecture in the construction of large-scale smart hospitals are becoming increasingly high.Traditional network architectures with users moving with the network generally suffer from problems such as low installation efficiency,slow policy deployment speed,and easy confu-sion of asset accounts.When faced with complex network requirements in hospitals,they also face challenges such as poor net-work scalability and cumbersome management.Selecting appropriate network virtualization technology and building a new,high-speed,and reliable network architecture play a crucial role in promoting the development of large-scale smart hospitals.Starting from 2023,a large tertiary hospital in Guangzhou has built a new branch network project based on software-defined networking,showcasing the advantages of this architecture in terms of deployment speed,policy configuration,and endpoint management.Ex-perimental data ultimately shows that using a software-defined networking architecture can significantly improve the efficiency of policy deployment in hospital networks.