Miao Wang

This article discusses the practice and development of organ donation by capital prisoners in China. It analyzes the issue of informed consent regarding organ donation from capital prisoners in light of Confucian ethics and expounds the point that under the influence of Confucianism, China is a country that attaches great importance to the role of the family in practicing informed consent in various areas, the area of organ donation from capital prisoners included. It argues that a proper form of organ donation from capital prisoners can be justified within the Confucian moral context in which the proper interests of capital prisoners and their families, the benefit of organ receptors, and a rightful order of society should all be appropriately considered. From the Confucian perspective, the act of donating organs from a capital prisoner must be decided by both the prisoner and his/her family (i.e., each side should hold a veto power), whereas such donation, in the proper circumstance protected by a rightful procedure, should be appreciated as a morally praiseworthy act of the prisoner who is willing to make the final effort to repent and correct his/her evil conduct and to leave something good to the world

The inversion of directions is an important operation with directions which plays an important role in qualitative spatial reasoning and spatial queries. In this work, we address on the inversion operation of the basic cardinal direction relations in the model of Goyal. The direction relation matrix model proposed by Goyal is a projection-based model for spatial direction relations between regions. This model is simple in calculation and easy to carry out formal reasoning, which is considered as currently one of the most excellent models for representation and qualitative reasoning with cardinal direction relations in two-dimensional space. This work aims to realize the automatic inference and calculation of the inverse of the basic cardinal direction relations in the model of Goyal and further to improve the ability of spatial reasoning and spatial analysis of spatial database. In order to avoid the complicated manual reasoning, an algorithm for automatically performing the inverse operation on this model is devised by means of the operations of direction relation matrix. Theorems are provided to prove formally that our algorithm is correct and complete, which is also verified by comparing the result of our algorithm with that of manual reasoning for each basic cardinal direction relation. This study realized the automatic inference and calculation of the inverse of the basic cardinal direction relations in the model of Goyal and further improved the ability of spatial reasoning and spatial analysis of spatial database.

Because of the lack of interaction between seeking mode cats and tracking mode cats in cat swarm optimization, its convergence speed and convergence accuracy are affected. An information interaction strategy is designed between seeking mode cats and tracking mode cats to improve the convergence speed of the CSO. To increase the diversity of each cat, a top-N learning strategy is proposed during the tracking process of tracking mode cats to improve the convergence accuracy of the CSO. On ten standard test functions, the average values, standard deviations, and optimal values of the proposed algorithm with different N values are compared with the original CSO algorithm and the adaptive cat swarm algorithm based on dynamic search. Experimental results show that the global search ability and the convergence speed of the proposed algorithm are significantly improved on all test functions. The proposed two strategies will improve the convergence accuracy and convergence speed of CSO greatly.