经方量化归经研究中的向量矩阵应用

在经方量化归经研究中发现,药物组成的归经量化问题,若以五维向量表示更能体现其药物的归经方向和归经比例.利用向量矩阵分析方法给出了方剂归经量化的一种全新的量化模型体系,并以此研究方剂归经的量化规律及其应用特点.     

中医方药量化研究中“相对药量”的数学模型体系

建立中医方药量华研究的"相对药量"概念模型体系;方法:运用微分方程理论;提出五种情况下,中药常用量范围内相对药量概念的数学模型,分别为直线模型、指数函数模型、对数函数模型、二次函数模型(开口向上和向下两种),并说明该模型体系的和理性与适应性;结论:相对药量概念核心体系的建立,增加了中医方药"相对药量"可比性的全面性,这对进一步研究单位药乃至方剂中各药在性、味、归经等方面的影响程度及其规律性,将起到至关重要的作用.     

函数中端点最值的思考

<正>在中学里我们便学习了一个函数给定一个区间,该函数的最值只能在区间端点处或极值点处取,最值需取端点值和极值进行比较.此知识点在高考中一般会给定一个含参不等式恒成立来求参数的范围,对此可以构造函数转化为函数的最值问题,就要对函数端点值和极值进行比较,     

中医方药量化研究中方剂“归经强度”层次分析法模型和应用

初步探讨中医方药归经量化研究中方剂的"归经强度"模型和应用.根据中药归经理论,运用(量化)层次分析法进行研究,以四君子汤为例,给出中医方药归经量化中方剂"归经权重"和"归经强度"的计算模型.方剂归经强度模型能较准确的计算方剂的归经强度,不但创新了量化层次分析法而且实现了中医方剂"归经强度"差异性量化分析和合理性应用.     

模糊影响图评价算法在供应链金融信用风险评估中的应用

传统的银行信贷模式风险评价专注于个体企业的财务数据.供应链金融新融资模式下的信用风险评价不同于传统的融资模式风险评价,它的评价范围更宽,不确定性因素更加复杂.在分析供应链金融模式的信用风险评价体系的基础上,结合模糊集和影响图理论建立了模糊影响图评价模型,对评估中难以量化的问题进行模糊处理,对变量之间的模糊影响关系进行分析,最后计算出信用风险概率分布.方法定性与定量相结合,为供应链金融新模式下的风险评估提供了一种新思路.     

“双端点运动线段”长的最小值问题

<正>所谓"双端点运动线段",是指两个端点都在某个图形上运动的线段.由于"双端点运动线段"有别于我们熟悉的"单端点运动段"(只有一个端点运动的线段),因而与"双端点运动线段"有关的问题常常令我们的思维受阻.解决这类问题的关键是运用转化思想,将问题转     

一个一维简化量子能量运输稳态模型分析(英文)

本文研究一维半导体器件中的稳态量子能量运输模型,证明其古典解的存在性.当电子浓度在两端点处取相同值时文[3]已经得到这样一个结果.本文把这一结果推广到电子浓度在端点处取不同值时的情形.与文[3]不同的是,为了进行分部积分以便得到所需估计,需要仔细构造一个辅助函数.     

抛物线两弦端点处切线的有趣性质

文[1]给出了椭圆两弦端点处的切线的两个优美性质,笔者类似此法,发现抛物线两条弦端点处的切线也存在着类似的性质.     

基于MCLP的知识挖掘模型在项目管理中的应用

针对项目管理中不同知识的分类和表达模式,提出了一种基于多目标线性规划的知识挖掘模型.该模型在对文本信息预处理的基础上,采用多目标线型规划方法,实现了对可量化信息和不可量化信息的同时挖掘,从而挖掘出更准确的项目知识模式,实现了项目管理中的知识的再利用,并就应用过程中遇到的具体问题进行了探讨.     

爆炸药间隙零门可靠性窗口分析

可靠性窗口的区间长度是爆炸药间隙零门设计过程中重点考虑的问题,它直接影响间隙零门能否成功作用.在固定装药密度和通道截面的情况下,将可靠性窗口问题转化为基于间隙长度的三元响应问题,并把窗口端点的阈值视为随机变量,给出了基于可靠性窗口两个端点的联合响应分布模型.为估计模型的参数,结合得分检验统计量,给出了判断三元响应分布中两阈值变量相关性的准则和模型参数估计方法.为了说明方法的有效性,结合试验数据,利用极大似然估计,给出了一类间隙零门可靠性窗口端点和区间长度的估计结果.     

Hidden Markov partition models

We describe an extension of the hidden Markov model in which the manifest process conditionally follows a partition model. The assumption of local independence for the manifest random variable is thus relaxed to arbitrary dependence. The proposed class generalizes different existing models for discrete and continuous time series, and allows for the finest trading off between bias and variance. The models are fit through an EM algorithm, with the usual recursions for hidden Markov models extended at no additional computational cost.     

Mathematical modeling of the dynamics of the bladder cancer and the immune response applied to a patient: Evolution and short‐term prediction

Bladder cancer is one of the most common malignant diseases in the urinary system and a highly aggressive neoplasm. The prognosis is not favorable usually, and its evolution for particular patients is very difficult to find out. In this paper, we propose a dynamic mathematical model that describes the bladder tumor growth and the immune response evolution. This model is customized for a single patient, determining appropriate model parameter values via model calibration. Due to the uncertainty of the tumor evolution, using the calibrated model parameters, we predict the tumor size and the immune response evolution over the next few months assuming three different scenarios: favorable, neutral, and unfavorable. In the former, it is not expected any trace of the cancer in the middle of September 2018 (after 16 mo). In the neutral scenario, at the same date, a 7‐ to 8‐mm tumor is expected. In the worst case, a 40‐mm tumor is expected. The patient was cited on 10 September 2018 to check the tumor size, and according to the doctors, there was no sign of recurrence. It seems that we are in the favorable scenario. The patient will be called again for follow‐up in mid‐2019.     

Modeling treatment of cancer using virotherapy with generalized logistic growth of tumor cells

Abstract

Virotherapy is an effective strategy in cancer treatment. It eliminates tumor cells without harming the healthy cells. In this article, a deterministic mathematical model to understand the dynamics of tumor cells in response to virotherapy is formulated and analyzed by incorporating cytotoxic T lymphocytes (CTLs). The basic reproduction number and the immune response reproduction number are computed and different equilibria of the proposed model are found. The local stability of different equilibria is discussed in detail. Further, the proposed model is extended to stochastic model. Numerical simulation is performed for both deterministic and stochastic models. It is observed that when both the reproduction numbers are greater than one, which corresponds to existence of unique nontrivial equilibrium point, dynamics of deterministic and stochastic models are almost same. The deterministic model shows a very complex dynamics when one or both the reproduction numbers are below one. The system exhibits both backward bifurcation and Hopf-bifurcation for suitable sets of parameters and in this situation it is not easy to predict the dynamics of cancer cells and virus particles. The existence of backward bifurcation demonstrates the fact that partial success of virotherapy can be achieved even if the immune response reproduction number is less than one.     

Analysis of a fractional order eco‐epidemiological model with prey infection and type 2 functional response

In this paper, we introduce fractional order into an ecoepidemiological model, where predator consumes disproportionately large number of infected preys following type 2 response function. We prove different mathematical results like existence, uniqueness, nonnegativity, and boundedness of the solutions of fractional order system. We also prove the local and global stability of different equilibrium points of the system. The results are illustrated with several examples.     

股票市盈率水平的决定因素——上海证券交易所的数据验证

本文利用截面分析方法,从多个角度讨论影响股票市盈率水平的因素,并利用上海证券交易所股票数据进行验证。首先,利用上海证券交易所的股票历史数据计算按不同板块 (如行业,每股收益大小等)划分股票类别时,各板块市盈率水平的具体数值,并讨论各不同板块市盈率的分布特征。其次,讨论了市盈率与其直接影响变量(股票价格和每股收益 )之间的相互关系,用数学模型论述两者在影响市盈率变化时所存在的差异。最后,通过对影响市盈率水平的各种因素进行详细的统计特征分析,筛选影响强烈的因素,并建立了描述市盈率与各影响因素之间相关性的多因素模型。     

Comparing partitions of two sets of units based on the same variables

We propose a procedure based on a latent variable model for the comparison of two partitions of different units described by the same set of variables. The null hypothesis here is that the two partitions come from the same underlying mixture model. We define a method of “projecting” partitions using a supervised classification method: once one partition is taken as a reference; the individuals of the second data set are allocated to the clusters of the reference partition; it gives two partitions of the same units of the second data set: the original and the projected one and we evaluate their difference by usual measures of association. The empirical distributions of the association measures are derived by simulation.     

A transient model of thermoregulation in a clothed human

This paper describes a mathematical model of human thermoregulation in a clothed individual. Heat flow within and from the clothed body is expressed as a system of partial differential equations. The system is nonlinear as a result of the very nature of human thermoregulation. Such important physical properties as shivering, sweating, vasodilation and vasoconstriction are included in the simulation. Finite difference techniques are used to approximate spatial partial derivatives, thus reducing the problem to that of solving a system of nonlinear ordinary differential equations. A high accuracy approximation in the time dimension is used to generate a solution to the problem. The model is used to predict the reaction of a clothed human to various changes in environmental conditions.     

运载火箭姿态运动并行实时数字仿真

1.前言 大型运载火箭的姿态运动是指火箭绕其质心的运动,它是火箭姿态稳定控制系统的控制对象.火箭的姿态运动是多种运动的复合,诸如火箭壳体的弹性弯曲振动、液体推进剂在贮箱内的晃动,都会使其发生弱阻尼或不衰减的振荡.另外,火箭的参数,如转动惯量、重心位置、谐振频率和气动特性等都是随时间和飞行状态变化的,从而使运动特性变得非常复杂.