Background/Aims: Iron deficiency is a global nutritional disorder, especially for pregnant women. There is a close relationship between deficiency in trace elements and unexplained infertility in females. However, the relationship between iron deficiency and unexplained infertility has not been determined. This study was designed to determine the effect of iron deficiency on conception in a rat model. Methods: Female rats were randomly divided into two groups (n = 15 each): an iron-deficiency group fed a low iron diet and a normal control group. Both groups of female rats were mated with healthy male rats after the iron-deficiency model was established. Results: Iron-deficient rats developed white skin and eyes, hair loss, and weight loss. Hemoglobin levels and red blood cell count were significantly lower than in controls, showing successful establishment of the iron-deficiency model. There was a significantly lower conception rate in the iron-deficiency group; there also appeared to be a disruption of estrus and a delay in conception in the iron-deficiency group. Conclusions: Severe iron deficiency has a significant influence on fertility, and may be an important factor in unexplained infertility. Further research on the role of iron in conception is warranted.

It is the complex structure of the armoured equipment that determines the traditional organizations of the case-warehouse cannot direct the case-based reasoning effectively. Adopting the way to analyse failure mode before the case-warehouse organizations, suming up for the classification. Building the apart index mechanism and establishing the basis of the effective organizations of the case-warehouse at last.

According to the problem that the difference of test mode, mixed quantitative and qualitative information of electromechanical equipment state prediction, a state prediction method based on information fusion was proposed in this paper. It was used DS evidence theory to fuse decision level information of electromechanical equipments at this method. Simulation results showed that it is feasible and effective that information fusion technology is applied on the state prediction for mechanical and electrical equipment. Information for decision-making integrated repeatedly by different forecasting methods, can greatly reduce the blindness of judgment and improve the accuracy of state prediction.

Abstract.To solve the problem of simultaneous localization and mapping of mobile robot vision navigation using infrared thermal imaging, A point-line feature extraction and matching algorithm after infrared image enhancement is proposed for visual odometry. We first used a guided filter to smooth the input image and separate it into the base layer and the detail layer. Then constraining the gradient of the detail will be used gain mask to enhance it. Finally, the two parts of the image combined with weighted coefficients will be exported into the second guided filter. The output image will use LSD to extract line feature, then using ORB algorithm will get point feature extraction and matching from line feature image . The results show the it can effectively improve the defect of infrared image blurred with similar background temperature and difficult to extract image features for mobile robot visual SLAM.

In order to solve the problem that the level of armored equipment maintenance cannot be content with the maintenance demand and improve the decision ability at the same time, the paper attempts to integrate the date warehouse with the case-based reasoning to establish the decision-support system, providing support for armored equipment maintenance,and researches on the key points at the last.