The influence of super-strong magnetic field on chemical potential of non-zero temperature electron gas is analyzed,and the change of eigen energy level in low-lying energy transition of β decay in super-strong magnetic field is studied,then the 59Fe,62Co is investigated as an example.

Moreover,the author points out that the quantative features of Γ-distribution lie in that the less the larger, the more the less, and extraordinary vast is less.

This paper introduces the concepts of a content-based image retrieval technology and medical image retrieval system,analyzes the present research situation of medical image retrieval system,and by using multiple aspects normalized image retrieval method and the combination of low-level features and semantic features,establishes a medical image retrieval system based on ontology.

Although a variety of retrieval techniques have been designed to reduce the number of the candidate images,most techniques are based on low-level features and consider little or no high level semantic information.