A qualitative analysis of the Taiyi Jinhua Zongzhi

The Taiyi Jinhua Zongzhi (太一金華宗旨) is an important Daoist text, in particular to the Longmen branch of the Quanzhen movement. It is attributed to Lü Dongbin and describes a form of meditation called huiguang (回光 – turning around or reversing the light). The text was popularized in the West through a commentary by Carl Jung on Richard Wilhelm’s translation. However, the accuracy of both Jung’s commentary (e.g., Cott & Rock, 2009) and Wilhelm’s translation (e.g., Cleary, 1991) have been questioned. While the Taiyi Jinhua Zongzhi tends to express its message in much clearer language than many Daoist texts, it is still may not be immediately accessible to most readers on first viewing. Thus, the results presented herein are intended to clearly present the main messages of the Taiyi Jinhua Zongzhi for those unfamiliar with the text, while attempting to avoid committing the same errors as, for example, Jung. To do this, the present analysis extracted all the prominent constructs discussed in the text, descriptions of their nature, and the relationships between them. This resulted in five overarching themes, two of which describe the general process of turning the light around, and a further three that describe a stage-like progression resulting from this general process. The constructs and relationships that constitute each theme are discussed in detail with the aid of diagrammatic representations, as are the relationships between the five themes.
It is hoped that this analysis will make the general teachings of the Taiyi Jinhua Zongzhi more accessible to psychologists wishing to pursue studies in the area of Daoism.

Application of neural network to rock slope stability assessments

It is known that rock masses are inhomogeneous, discontinuous media composed of rock material and naturally occurring discontinuities such as joints, fractures and bedding planes. These features make any analysis very difficult using simple theoretical solutions. Generally speaking, back analysis technique can be used to capture some implicit parameters for geotechnical problems. In order to perform back analyses, the procedure of trial and error is generally required. However, it would be time-consuming. This study aims at applying a neural network to do the back analysis for rock slope failures. The neural network tool will be trained by using the solutions of finite element upper and lower bound limit analysis methods. Therefore, the uncertain parameter can be obtained, particularly for rock mass disturbance.