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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 identification of rockfall source areas is a fundamental work for rockfall disaster prevention and mitigation. Based on the Culmann model, a pair of important indicators to estimate the state of slope stability is the relief and slope angles. Considering the limit of field survey and the increasing requirements for identification over a large area, a new approach using the relief–slope angle relationship to identify rockfall source areas controlled by rock mass strength at a regional scale is proposed in this paper. Using data from helicopter-based remote sensing imagery, a digital elevation model of 10 m resolution, and field work, historical rockfalls in the Wolong study area of Tibet where frequent rockfalls occur are identified. A clear inverse relationship between the relief and slope angles of historical rockfalls enables us to calculate the rock mass strength of the landscape scale by the Culmann model and the relief–slope angle relationship curve. Other parameters used in our proposed approach are calculated by ArcGIS and statistic tools. By applying our approach, the potential rockfall source areas in the study are identified and further zoned into three susceptibility classes that could be used as a reference for a regional rockfall susceptibility study. Using the space partition of historical rockfall inventory, our prediction result is validated. Most of the rockfall source areas (i.e., 71.92%) identified in the validation area are occupied by historical rockfalls, which proves the good prediction of our approach. The dominant uncertainty in this paper is derived from the process of calculating rock mass strength, defining the specific area for searching potential rockfall source areas, and the resolution of the digital elevation model.