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Evaluating the B-cell density with various activation functions using White Noise Path Integral Approach

机译:使用白噪声路径整体方法评估各种激活功能的B细胞密度

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A The White Noise Path Integral Approach is used in evaluating the B-cell density or the number of B-cell per unit volume for a basic type of immune system response based on the modeling done by Perelson and Wiegel. From the scaling principles of Perelson [1], the B-cell density is obtained where antigens and antibodies mutates and activation function f(S-S_A) is defined describing the interaction between a specific antigen and a B-cell. If the activation function f(S-S_A) is held constant, the major form of the B-cell density evaluated using white noise analysis is similar to the form of the B-cell density obtained by Perelson and Wiegel using a differential approach.A piecewise linear functionis also used to describe the activation f(S-S_A). If f(S-S_A) is zero, the density decreases exponentially. If f(S-S_A)= S-S_A-S_B, the B-cell density increases exponentially until it reaches a certain maximum value. Forf(S-S_A)= 2S_A-S_B-S, the behavior of B-cell density is oscillating and remains to be in small values.
机译:白噪声路径积分方法用于评估基于Perelson和Wiegel的建模的基本免疫系统响应的基本类型的B细胞密度或每单位体积的B细胞数。从髓鞘的缩放原理[1],获得B细胞密度,其中抗原和抗体突变和活化函数F(S-S_A)定义描述特定抗原和B细胞之间的相互作用。如果激活函数f(S-S_A)保持恒定,则使用白噪声分析评估的B细胞密度的主要形式类似于通过Perelson和Wiegel使用差分方法获得的B细胞密度的形式.a分段线性功能还用于描述激活F(S-S_A)。如果F(S-S_A)为零,则密度呈指数增长。如果F(S-S_A)= S-S_A-S_B,则B细胞密度指数增加,直到它达到某个最大值。 FORF(S-S_A)= 2S_A-S_B-S,B细胞密度的行为是振荡的,并且仍然是小值。

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