Zn deficiency was induced by feeding Zn-deficient diet (ZDD), and BPA was administered orally (100 mg/kg/d). The present study aims to investigate the toxicity of BPA in Zn deficient condition in the liver and kidney of rat and to correlate its synergistic actions. Bisphenol A (BPA) can alter Zn homeostasis and perturb the physiological system by provoking oxidative stress, which can lead to damage of different organs such as reproductive, immune, neuroendocrine, hepatic and renal systems. Zn deficiency has been found to be associated with negative effects on the functioning of many organ systems, including hepatic and renal systems. Zinc (Zn) plays an important role in the maintenance of redox status in the biological system. The effectiveness of the proposed method is validated by its application in helping diagnose breast lesions with the diagnostic data of five radiologists collected from a tertiary hospital located in Hefei, Anhui, China. With the two strategies, the process of the proposed method is presented. The two strategies are intended for improving the performance of the proposed method. A data selection strategy is designed to increase the similarity between the data from source and target domains and a weight initialization strategy is designed based on the available gold standards. This may be the first attempt to combine transfer learning with a decision making method to help generate high-quality solutions satisfactory to decision makers when only few data are available for the problem in the target domain. Following this idea, this paper proposes a cross-domain decision making method based on the combination of TrAdaBoost, an instance-based transfer learning method, and a decision making method in the context of the evidential reasoning approach. The data from source domains might be useful for helping generate solutions to the problem in the target domain.

There may be some domains correlated to the target domain, which are called source domains. Suppose that the few data are collected from a domain called the target domain. However, this might be infeasible when only few data are available. The accumulated historical data are beneficial for generating solutions that are more satisfactory to decision makers because their preferences and experience are characterized by historical data.

Statistical tools for data analysis ppt