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The model of high-order multidimensional tree with tristate applied to the digitalization of Yin-Yang theory of Traditional Chinese Medicine

机译:三态高阶多维树模型在阴阳中医理论数字化中的应用

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To approach the digital reciprocal expression with undamaged information about the topology of the high-order multidimensional tree with sequenced nodes(HMTSN) and to build method for calculating the characteristic discrepancy of state-space between HMTSN, this paper applies mapping and matrix theory to seek for the potential applicability in biomedical field, especially in Traditional Chinese Medicine (TCM). [Methods] 1. Applying n-dimensional spatial vector representation, as well as set and mapping theory, this research mappings HMTSN to a characterized square matrix (CSM) based on a customer-set protocol; 2. Calculating the differences in value between the elements from two different square matrices being mapped from corresponding tree spatial status, the result obtains the difference between two multidimensional structures with multi-state.[Results] 1. With a special case with {-1,0, +1} in effective nodes, HMTSN can be used to describe the characteristics of multidimensional structure in Yin-Yang differentiation of TCM(DIFF) with tristate; 2. The customer-set protocol is satisfied to reciprocally and fully express the characterized of HMTSN with CSM through mapping from HMTSN model to a matrix; 3. The square root of the matrix trace (SRMT) calculated from two CSM, which is the matrix product made by the difference between square matrices (DSM) multiplied by the transpose of DSM, may reflect the structural difference in value between HMTSN. HMTSN with tristate and SRMT may express the Yin-Yang DIFF and have potential benefit for its transmission study. [Conclusions] The matrixing for the model of HMTSN and its algorithm, as a special case of tristate with Yin, Balance and Yang, being as a method of the DIFF and a potential algorithm for DIFF transmission in TCM with the core of Yin and Yang, may offer a creative metrizable method for TCM theory.
机译:为了利用具有顺序节点(HMTSN)的高阶多维树的拓扑结构的无损信息来进行数字倒数表达,并建立计算HMTSN之间的状态空间特征差异的方法,本文应用映射和矩阵理论来寻求在生物医学领域,特别是在中医药(TCM)中的潜在适用性。 [方法] 1.运用n维空间向量表示法,并结合集合和映射理论,将HMTSN映射到基于客户集合协议的特征方阵(CSM)。 2.计算从对应的树空间状态映射的两个不同平方矩阵的元素之间的值差,结果获得两个具有多状态的多维结构之间的差。[结果] 1.特殊情况为{-1 ,0,+1},在有效节点中,HMTSN可用于描述具有三态的TCM(DIFF)阴阳分化的多维结构特征; 2.通过从HMTSN模型到矩阵的映射,满足客户设置协议,以交互和完整地表达具有CSM的HMTSN的特征; 3.由两个CSM计算得出的矩阵迹线(SRMT)的平方根,即平方矩阵之间的差(DSM)乘以DSM的转置所得的矩阵乘积,可能反映了HMTSN之间的值结构差异。具有三态和SRMT的HMTSN可以表达阴阳差,并对其传播研究具有潜在的好处。 [结论] HMTSN模型及其算法的矩阵化,作为阴,阳,阳三态的特例,作为DIFF的一种方法,是一种以阴阳为核心的中医DIFF传输的潜在算法,可以为中医理论提供一种新颖的可量化的方法。

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