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Final Report of COIA 2022 COIA 2022的最终报告
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2022-01-01 DOI: 10.30546/1683-6154.21.3.2022.349
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引用次数: 0
A Quantitative Reasoning Framework and the Importance of Quantitative Modeling in Biology 定量推理框架及定量建模在生物学中的重要性
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2022-01-01 DOI: 10.11648/j.acm.20221101.11
R. Mayes, David Owens, J. Dauer, Kent Rittschof
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引用次数: 0
Discrete Probability of Random Möbius Groups: Random Subgroups by Two Generators 随机群的离散概率Möbius:两个生成器的随机子群
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2022-01-01 DOI: 10.11648/j.acm.20221101.13
Binlin Dai, Zekun Li
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引用次数: 0
Constructions of Input and Output Isoquants in DEA Models with Selective Convexity 具有选择凸性的DEA模型中输入和输出等量的构造
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2022-01-01 DOI: 10.30546/1683-6154.21.3.2022.317
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引用次数: 2
Some Ostrowski-Mercer Type Inequalities for Differentiable Convex Functions via Fractional Integral Operators with Strong Kernels
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2022-01-01 DOI: 10.30546/1683-6154.21.3.2022.329
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引用次数: 2
Nanosatellite Attitude Estimation in Sun and Eclipse Periods without Gyroscopes 无陀螺仪的日蚀期纳米卫星姿态估计
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2022-01-01 DOI: 10.30546/1683-6154.21.3.2022.246
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引用次数: 1
Asymptotic Behavior of Multivariate Extremes Geometric Type Random Variables 多元极值几何型随机变量的渐近性质
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2021-11-11 DOI: 10.11648/J.ACM.20211006.12
Frédéric Béré, Kpèbbèwèrè Cédric Somé, Remi Guillaume Bagré, Pierre Clovis Nitiéma
This document was an opportunity for us to measure the contributions of researchers on the asymptotic behavior of the extremes random variables. Beyond the available results, we have proposed an analysis of the behavior of the extremes of random variables of geometric type. We succeeded in determining a subsequence which allows us to establish a convergence in law of the extremes of this type of random variable while passing by the determination of a speed of convergence. We then exposed the limited law which results from it then we called upon the copulas of the extreme values to propose a joint limited law for two independent samples of random variables of geometric type. These results will allow us to analyze, in a document, not only the convergence in moment of order of the other extremes of the random variables of geometric type but also the general asymptotic behavior of the extremes of a serie of random variables with integer value. This document was an opportunity for us to measure the contributions of researchers on the asymptotic behavior of the extremes random variables. Beyond the available results, we have proposed an analysis of the behavior of the extremes of random variables of geometric type. We first made the case of the fact that the random variables of geometric type could be constructed from the random variables of exponential distribution and that they were not only integer variables but also that in general there were no sequences standards that allowed their extremes to converge. To do this, we first built a convergent ϕ(k) subsequence which we then used to define a geometric type Tϕ(k) subsequence of random variables. We have also proved the convergence in distribution of the extremes of the random variables Tϕ(k). We have also exhibited the resulting limit law. Finally, in this document, we have dealt with the multivariate case of random variables of geometric type. We considered two independent samples of random variables of geometric types. Using a copula of extreme values, in particular the logistic copula, we proposed a joint limit distribution of two independent samples of subsequences of geometric type random variables. We then exposed the limited law which results from it then we called upon the copulas of the extreme values to propose a joint limited law for two independent samples of random variables of geometric type.
这份文件是一个机会,让我们衡量研究人员的贡献在极端随机变量的渐近行为。在已有的结果之外,我们提出了对几何型随机变量的极值行为的分析。我们成功地确定了一个子序列,使我们能够在确定收敛速度的同时,根据这类随机变量的极值律建立收敛性。然后揭示了由此得出的极限律,然后利用极值的连数式提出了两个独立的几何型随机变量样本的联合极限律。这些结果将使我们不仅可以分析几何型随机变量的其他极值在阶矩上的收敛性,而且可以分析一系列整数值随机变量的极值的一般渐近行为。这份文件是一个机会,让我们衡量研究人员的贡献在极端随机变量的渐近行为。在已有的结果之外,我们提出了对几何型随机变量的极值行为的分析。我们首先提出了几何型随机变量可以由指数分布的随机变量构造而成,它们不仅是整数变量,而且一般不存在允许其极值收敛的序列标准。为此,我们首先构建了一个收敛的ϕ(k)子序列,然后用它来定义随机变量的几何类型Tϕ(k)子序列。我们还证明了随机变量tφ (k)的极值分布的收敛性。我们也展示了所得的极限定律。最后,在本文中,我们处理了几何型随机变量的多元情况。我们考虑了几何类型随机变量的两个独立样本。利用极值的联结,特别是逻辑联结,给出了几何型随机变量子序列的两个独立样本的联合极限分布。然后揭示了由此得出的极限律,然后利用极值的连数式提出了两个独立的几何型随机变量样本的联合极限律。
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引用次数: 0
An Accurate and Stable Filtered Explicit Scheme for Biopolymerization Processes in the Presence of Perturbations 扰动存在下生物聚合过程的一种精确稳定的过滤显式方案
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2021-11-05 DOI: 10.11648/J.ACM.20211006.11
L. Davis, F. Pahlevani, T. S. Rajan
The focus of this paper is the development, numerical simulation and parameter analysis of a model of the transcription of ribosomal RNA in highly transcribed genes. Inspired by the well-known classic Lighthill-Whitham-Richards (LWR) traffic flow model, a linear advection continuum model is used to describe the DNA transcription process. In this model, elongation velocity is assumed to be essentially constant as RNA polymerases move along the strand through different phases of gene transcription. One advantage of using the linear model is that it allows one to quantify how small perturbations in elongation velocity and inflow parameters affect important biology measures such as Average Transcription Time (ATT) for the gene. The ATT per polymerase is the amount of time an individual RNAP spends traveling through the DNA strand. The numerical treatment for model simulations includes introducing a low complexity and time accurate method by adding a simple linear time filter to the classic upwind scheme. This improved method is modular and requires a minimal modification of adding only one line of code resulting in increased accuracy without increased computational expense. In addition, it removes the overdamping of upwind. A stability condition for the new algorithm is derived, and numerical computations illustrate stability and convergence of the filtered scheme as well as improved ATT estimation.
本文的重点是高转录基因核糖体RNA转录模型的开发、数值模拟和参数分析。受著名的经典lighhill - whitham - richards (LWR)交通流模型的启发,采用线性平流连续体模型来描述DNA转录过程。在这个模型中,假设延伸速度基本上是恒定的,因为RNA聚合酶沿着链移动,通过基因转录的不同阶段。使用线性模型的一个优点是,它允许人们量化延伸速度和流入参数的微小扰动如何影响重要的生物学测量,如基因的平均转录时间(ATT)。每个聚合酶的ATT是单个RNAP通过DNA链所花费的时间。模型模拟的数值处理包括在经典的迎风方案中加入简单的线性时间滤波器,从而引入低复杂度和时间精度的方法。这种改进的方法是模块化的,只需要添加一行代码的最小修改,从而在不增加计算费用的情况下提高准确性。此外,它消除了逆风的过阻尼。推导了新算法的稳定性条件,并通过数值计算证明了该滤波方案的稳定性和收敛性,以及改进的ATT估计。
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引用次数: 2
A Knot Invariant Defined Based on the Skein Relation with Two Equations 基于两方程绞合关系的一个结不变量
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2021-10-16 DOI: 10.11648/J.ACM.20211005.12
Liu Weili, Huimin Lu
Knot theory is a branch of the geometric topology, the core question of knot theory is to explore the equivalence classification of knots; In other words, for a knot, how to determine whether the knot is an unknot; giving two knots, how to determine whether the two knots are equivalent. To prove that two knots are equivalent, it is necessary to turn one knot into another through the same mark transformation, but to show that two knots are unequal, the problem is not as simple as people think. We cannot say that they are unequal because we can't see the deformation between them. For the equivalence classification problem of knots, we mainly find equivalent invariants between knots. Currently, scholars have also defined multiple knot invariants, but they also have certain limitations, and even more difficult to understand. In this paper, based on existing theoretical results, we define a knot invariant through the skein relation with two equations. To prove this knot invariant, we define a function f(L), and to prove f(L) to be a homology invariant of a non-directed link, we need to show that it remains constant under the Reideminster moves. This article first defines the fk(L), the property of f(L) is obtained by using the properties of fk(L). In the process of proof, the induction method has been used many times. The proof process is somewhat complicated, but it is easier to understand. And the common knot invariant is defined by one equation, which defining the knot invariant with two equations in this paper.
绳结理论是几何拓扑学的一个分支,绳结理论的核心问题是探讨绳结的等价分类;换句话说,对于一个结,如何判断这个结是否为解结;给定两个结,如何确定这两个结是否相等。要证明两个结是等价的,需要通过相同的标记变换把一个结变成另一个结,但要证明两个结是不等的,问题并不像人们想象的那么简单。我们不能说它们是不等的,因为我们看不到它们之间的变形。对于结点的等价分类问题,我们主要寻找结点之间的等价不变量。目前,学者们也对多个结不变量进行了定义,但也存在一定的局限性,更加难以理解。本文在已有理论结果的基础上,通过两个方程的绞结关系定义了一个结不变量。为了证明这个结不变量,我们定义了一个函数f(L),为了证明f(L)是一个非有向连杆的同调不变量,我们需要证明它在Reideminster运动下保持不变。本文首先定义了fk(L),利用fk(L)的性质得到了f(L)的性质。在证明过程中,多次使用了归纳法。证明过程有些复杂,但比较容易理解。一般的结点不变量用一个方程来定义,本文用两个方程来定义结点不变量。
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引用次数: 0
The Global Dynamics of HIV Latency Model Including Cell-to-Cell Viral Transmission 包括细胞间病毒传播在内的HIV潜伏期模型的全局动力学
IF 1 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2021-07-09 DOI: 10.11648/J.ACM.20211004.12
Wajahat Ali, Zhipeng Qiu
HIV spreads by cell-to-cell transfer and the release of cell-free particles. A slightly more effective method of retroviral transmission is the direct cell-to-cell transfer of HIV, according to recent reports. Intracellular interaction between unhealthy and healthy cells, in combination with cytokine discharged by the cells included, may affect the susceptibility of a target resting CD4+T cell to HIV infection and the formation of latent infection. We suggest a class of HIV latency mathematical model, integrating both cell-free virus transmission and direct cell-to-cell diffusion to improve the understanding of the dynamics of the latent reservoirs. We incorporate four components in our model: the uninfected T cells, the latently infected T cells, the active-infected T cells and the HIV viruses. We examine the latency model by introducing the basic reproduction number. We first establish the non-negativity and boundedness of the solutions of the system, and then we investigate the global stability of the steady states. The diseased-free equilibrium is globally stable when the basic reproduction number is less than 1 and if the basic reproduction number is greater than 1, the diseased equilibrium exists and is globally stable. Numerical simulations are executed to interpret the theoretical outcomes and evaluate the relative contribution of latency fractions in the virus production and the HIV latent reservoir by providing estimates.
艾滋病毒通过细胞间转移和释放无细胞颗粒传播。根据最近的报道,一种更有效的逆转录病毒传播方法是HIV的细胞间直接传播。不健康细胞和健康细胞之间的细胞内相互作用,结合细胞释放的细胞因子,可能影响靶静息CD4+T细胞对HIV感染的易感性和潜伏感染的形成。我们提出了一类HIV潜伏期数学模型,整合了无细胞病毒传播和直接细胞间扩散,以提高对潜伏库动力学的理解。我们在模型中纳入了四个组成部分:未感染的T细胞、潜伏感染的T细胞、活跃感染的T细胞和HIV病毒。我们通过引入基本复制数来检验延迟模型。首先建立了系统解的非负性和有界性,然后研究了系统稳态的全局稳定性。当基本繁殖数小于1时,无病平衡全局稳定,当基本繁殖数大于1时,患病平衡存在且全局稳定。执行数值模拟来解释理论结果,并通过提供估计来评估潜伏分数在病毒生产和HIV潜伏库中的相对贡献。
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Applied and Computational Mathematics
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