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Nonlinear rank scaling and hidden structure in NHS expenditure transparency data NHS支出透明度数据的非线性等级标度与隐藏结构
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-31 DOI: 10.1016/j.amc.2026.129971
Animotu Mohammed , Golnaz Shahtahmassebi , Haroldo V. Ribeiro , Peter Scriven , Jack Sutton , Quentin S. Hanley
A variety of transparency initiatives have been introduced by governments to reduce corruption and allow citizens to independently evaluate the effectiveness and efficiency of spending. In 2010, the UK government mandated transparency for many expenditures exceeding £25,000. The resulting data is dispersed across a range of governmental organizations and presents an opportunity to understand expenditure at scale, interrogate organizational structures and develop transparency measures. Here, we focus on data from the top two layers of the National Health Service (NHS) within England, including NHS England (NHSE) and Integrated Care Boards (ICBs). As one of the largest government run healthcare organizations in the world and potentially the sixth largest employer globally, the NHS provides a distinctive case for studying healthcare delivery, contractor dynamics, and organizational self-organization. We find that limiting transparency to larger transactions conceals a substantial share of spending from scrutiny, including most transactions. The rank-frequency distributions of suppliers, expense types, and spending categories exhibit multiple scaling regimes similar to patterns observed in word frequency and urban scaling studies indicating these methodologies can be deployed to analyze financial transparency data at scale.
各国政府采取了各种透明措施,以减少腐败,并允许公民独立评估支出的效力和效率。2010年,英国政府要求许多超过2.5万英镑的支出透明化。由此产生的数据分散在一系列政府组织中,为了解大规模支出、审查组织结构和制定透明度措施提供了机会。在这里,我们关注的是来自英格兰国家医疗服务体系(NHS)最顶层的两层数据,包括NHS英格兰(NHSE)和综合护理委员会(icb)。作为世界上最大的政府运营医疗保健组织之一,并且可能是全球第六大雇主,NHS为研究医疗保健服务、承包商动态和组织自组织提供了独特的案例。我们发现,将透明度限制在较大的交易上,隐藏了很大一部分支出,包括大多数交易。供应商、费用类型和支出类别的等级-频率分布表现出与词频和城市比例研究中观察到的模式相似的多重比例制度,表明这些方法可以用于大规模分析财务透明度数据。
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引用次数: 0
Adaptive parameter-space refinement and Markov state models for eco-epidemiological dynamics 生态流行病学动态的自适应参数空间细化和马尔可夫状态模型
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-29 DOI: 10.1016/j.amc.2026.129974
Eymard Hernández-López , Mohammad Sharif Ullah , Giovanni Wences , Jin Wang
We propose a computational framework that combines Adaptive Mesh Refinement in Parameter Space (AMR-PS), ensemble stochastic simulation, and Markov state model (MSM) coarse-graining to characterize metastable dynamics in an infection-predator-prey eco-epidemiological system. By adaptively refining regions near bifurcations, the strategy dramatically reduces the cost of exploring high-dimensional parameter spaces while preserving fidelity. Ensemble simulations capture the stochastic pathways connecting metastable states, highlighting regimes in which noise qualitatively reshapes basins of attraction. MSM coarse-graining supplies interpretable macrostates and transition matrices that permit efficient computation of quantities of interest, and that faithfully summarize long-time behavior. Applied to representative eco-epidemiological regimes, the workflow identifies parameter regions where stochasticity most realistically reflects the deterministic bifurcation structure, quantifies escape times between endemic and disease-extinction basins, and could provide practical diagnostics for ecological management. The method is scalable, modular, and applicable to multiscale problems where rare events and parametric sensitivity influence complex system dynamics.
我们提出了一个结合参数空间自适应网格细化(AMR-PS)、集合随机模拟和马尔可夫状态模型(MSM)粗粒度的计算框架,以表征感染-捕食者-猎物生态流行病学系统的亚稳态动力学。通过自适应细化分岔附近的区域,该策略大大降低了探索高维参数空间的成本,同时保持了保真度。集合模拟捕获了连接亚稳态的随机路径,突出了噪声定性地重塑吸引力盆地的制度。MSM粗粒度提供可解释的宏观状态和转换矩阵,允许对感兴趣的数量进行有效计算,并忠实地总结长期行为。应用于代表性生态流行病学制度,该工作流程确定了随机性最能真实反映确定性分岔结构的参数区域,量化了流行和疾病灭绝盆地之间的逃逸时间,并可为生态管理提供实用的诊断。该方法具有可扩展性和模块化,适用于罕见事件和参数敏感性影响复杂系统动力学的多尺度问题。
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引用次数: 0
Neural-network-based asynchronous security control for delayed Markov jump systems with imperfect transition probabilities via dynamic-memory event-triggered mechanism 基于动态记忆事件触发机制的不完全转移概率延迟马尔可夫跳变系统的异步安全控制
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-29 DOI: 10.1016/j.amc.2026.129973
Mengchen Wang, Haibo Bao
In this article, we tackle the problem of realizing boundedness for delayed Markov jump systems (MJSs) with deception attacks and imperfect transition probabilities. To alleviate the burden of communication and conserve bandwidth in the communication network channel, a novel model-dependent dynamic-memory event-triggered mechanism (DMETM) is designed. Different from the general dynamic event-triggered mechanism (ETM), the designed DMETM includes historical trigger data in its triggering conditions, so it is able to dynamically adjust data transmission according to the long-term changes in the system state, thereby improving resource utilization. A hidden Markov model (HMM) with unmeasured probabilities is employed to comprehensively characterize plant-controller asynchrony. Moreover, deception attacks, considering the vulnerability of communication links, are taken into account. While existing studies typically assume bounded false data injection in MJSs, establishing accurate bounds in practical scenarios remains challenging. Considering this problem, a neural network-based asynchronous memory compensation feedback controller is developed, which effectively identifies and mitigates the impact of deception attacks. By leveraging a Lyapunov-Krasovskii functional (LKF), sufficient conditions for bounded in probability of the closed-loop system are derived. The effectiveness of the theoretical analysis is illustrated through an illustrative example.
本文研究具有欺骗攻击和不完全转移概率的延迟马尔可夫跳变系统(MJSs)的有界性实现问题。为了减轻通信负担,节约通信网络信道带宽,设计了一种基于模型的动态记忆事件触发机制(DMETM)。与一般的动态事件触发机制(ETM)不同,所设计的DMETM在触发条件中包含历史触发数据,能够根据系统状态的长期变化动态调整数据传输,从而提高资源利用率。采用一种具有不可测概率的隐马尔可夫模型(HMM)来全面表征对象-控制器的异步性。此外,考虑到通信链路的脆弱性,还考虑了欺骗攻击。虽然现有的研究通常假设mjs中存在有界的虚假数据注入,但在实际场景中建立准确的边界仍然具有挑战性。针对这一问题,设计了一种基于神经网络的异步记忆补偿反馈控制器,有效地识别和减轻欺骗攻击的影响。利用Lyapunov-Krasovskii泛函(LKF),导出了闭环系统概率有界的充分条件。通过算例说明了理论分析的有效性。
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引用次数: 0
The equitable chromatic number of circulant graphs with maximum degree at most 4 最大度不超过4的循环图的公平色数
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-24 DOI: 10.1016/j.amc.2026.129962
Xiaoyu Jin , Guiying Yan , Weihua Yang , Shuang Zhao
A graph G=(V,E) is equitably k-colorable [1] if its vertex set V can be partitioned into k independent sets V1,,Vk such that ||Vs||Vt||1 for all s, t. The minimum such k is referred to as the equitable chromatic number of G, denoted χ=(G).
Meyer conjectured that for any graph G that is neither a complete graph Km nor an odd cycle C2m+1, the inequality χ=(G)Δ(G) holds. The decoding scheduling of multi-edge type QC-LDPC codes in channel coding can be regarded as an equitable coloring problem of a circulant graph. Motivated by the NP-hardness of determining optimal equitable colorings in general, we focus on circulant graphs with Δ(G) ≤ 4. We show that if gcd(d2,n)d1.textand.gcd(d1,n)d2, then the circulant graph G(n; {d1, d2}) satisfies χ=(G(n;{d1,d2}))=2or3Δ(G).
如果图G=(V,E)的顶点集V可以划分为k个独立集V1,…,Vk,使得对于所有s, t, ||Vs| - |Vt||≤1,则图G=(V,E)是公平可色的[1]。这样的最小k称为G的公平色数,记为χ=(G)。Meyer推测对于任何既不是完全图Km也不是奇循环C2m+1的图G,不等式χ=(G)≤Δ(G)成立。信道编码中多边型QC-LDPC码的译码调度问题可以看作是一个循环图的公平着色问题。由于一般情况下确定最优公平着色的np -硬度,我们主要研究Δ(G) ≤ 4的循环图。我们证明,如果gcd(d2,n)∤d1.textand。gcd(d1,n)∤d2,则循环图G(n;{d1,d2})满足χ=(G(n;{d1,d2}))=2or3≤Δ(G)。
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引用次数: 0
STWCR: Weak collocation regression for revealing hidden stochastic dynamics from single trajectory data 基于弱搭配回归的单轨迹数据隐藏随机动力学分析
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-24 DOI: 10.1016/j.amc.2026.129958
Yan Jiang , Zhijun Zeng , Wuyue Yang , Liu Hong , Pipi Hu , Yi Zhu
Revealing hidden stochastic dynamics from observation data is of great importance in applications. Traditional methods usually require a large number of independent trajectories to obtain the probability distributions at several time snapshots. This paper proposes a fast and accurate regression method to obtain the stochastic dynamics from a single trajectory. If the stochastic system possesses a stationary distribution, we can utilize the ergodicity and the Weak Collocation Regression method, which is a fast method based on the weak form and sparse regression to solve inverse problems of partial differential equations related to probability density functions, to extract the score function of the stationary distribution from the single trajectory data without high cost. Then a novel expression of the drift term in terms of the score function and the diffusion term can be established, based on which we can extract the drift and diffusion terms through the Weak Collocation Regression method again. Our method has a high efficiency and low requirements for the trajectory data. Its outstanding performance has been verified through extensive numerical experiments, including non-gradient drift, multi-scale and high-dimensional problems.
从观测数据中揭示隐藏的随机动力学在实际应用中具有重要意义。传统的方法通常需要大量独立的轨迹来获得多个时间快照的概率分布。本文提出了一种快速准确的单轨迹随机动力学回归方法。如果随机系统具有平稳分布,我们可以利用遍历性和弱配置回归方法,这是一种基于弱形式和稀疏回归的求解与概率密度函数相关的偏微分方程逆问题的快速方法,可以在不高成本的情况下从单个轨迹数据中提取平稳分布的分数函数。然后用分数函数和扩散项建立漂移项的新表达式,在此基础上再用弱配置回归法提取漂移项和扩散项。该方法效率高,对轨迹数据要求低。通过大量的非梯度漂移、多尺度和高维问题的数值实验,验证了该方法的卓越性能。
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引用次数: 0
An efficient and accurate numerical modeling for measuring moisture content profiles in an unsaturated porous medium 一种测量非饱和多孔介质含水率曲线的高效、精确数值模拟方法
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-23 DOI: 10.1016/j.amc.2026.129961
Sanjay L. Gosiya, Vikas H. Pradhan
The Richards’ equation (RE), a non-linear elliptic-parabolic partial differential equation, is extensively used to simulate the flow processes in the unsaturated porous medium. This equation’s coefficients include two highly non-linear functions associated with unsaturated hydraulic conductivity, soil water potential, and soil water content. Various standard models are available in the literature to express these non-linear functions, potentially leading to significantly different outcomes in unsaturated flow problems. van Genuchten model is most widely used to express these non-linear functions for measuring accurate moisture content profiles. This paper presents the numerical results of a mixed form of RE based on this model using the Crank-Nicolson finite difference scheme. We compare the obtained numerical results with the available analytical and experimental results to verify the model. Accurate numerical results are also presented by comparing them with those obtained from Hydrus-1D, a widely used numerical tool for solving the RE. Notwithstanding, the numerical results are extended in 2D and 3D.
理查兹方程(RE)是一种非线性椭圆-抛物型偏微分方程,被广泛用于模拟非饱和多孔介质中的流动过程。该方程的系数包括两个高度非线性的函数,它们与非饱和水力电导率、土壤水势和土壤含水量有关。文献中有各种标准模型来表达这些非线性函数,可能导致非饱和流动问题的显著不同结果。范genuchten模型最广泛地用于表达这些非线性函数,以测量精确的水分含量剖面。本文用Crank-Nicolson有限差分格式给出了基于该模型的混合形式RE的数值结果。我们将得到的数值结果与现有的分析和实验结果进行了比较,以验证模型的正确性。通过与Hydrus-1D(一种广泛用于求解RE的数值工具)的数值结果进行比较,得到了精确的数值结果,并将数值结果扩展到二维和三维。
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引用次数: 0
Dynamic event-triggered prescribed time bipartite consensus for matrix-weighted HMASs under asynchronous attacks 异步攻击下矩阵加权HMASs的动态事件触发约定时间二部一致性
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-21 DOI: 10.1016/j.amc.2026.129957
Shuangfei Yin , Xiuxia Yin , Zhiwei Gao
This article is centered on event-triggered prescribed-time bipartite output consensus issue for matrix-weighted heterogeneous multi-agent systems under asynchronous DoS attacks, where the dependencies between adjacent agents are characterized by the matrix weights of the edges within the network. First, the system suffering from invalid attack is considered as a switching system. Then, by limiting the duration of the valid attack, a novel prescribed-time bipartite compensator with a static event-triggered mechanism is introduced to track the leader’s state for this category of generalized networks. In order to reduce communication between agents to a greater extent, we introduce a prescribed-time bipartite compensator with a dynamic event-triggered mechanism. Moreover, we demonstrate that neither mechanism exhibits Zeno behavior. Then, through compensator, a distributed state-feedback control protocol and an output-feedback control protocol are designed to achieve prescribed-time bipartite output consensus. Finally, simulation examples are presented to validate the validity of the main results.
Key words: Asynchronous DoS attacks; Prescribed-time consensus; Matrix-weighted networks; Dynamic event-triggered mechanism; Bipartite consensus.
本文主要研究异步DoS攻击下矩阵加权异构多智能体系统的事件触发的规定时间二部输出共识问题,其中相邻智能体之间的依赖关系由网络内边的矩阵权重表征。首先,将遭受无效攻击的系统视为交换系统。然后,通过限制有效攻击的持续时间,引入了一种新的具有静态事件触发机制的规定时间二部补偿器来跟踪这类广义网络的领导者状态。为了最大程度地减少智能体之间的通信,我们引入了一个带有动态事件触发机制的规定时间双部补偿器。此外,我们证明了这两种机制都没有表现出芝诺行为。然后,通过补偿器,设计了分布式状态反馈控制协议和输出反馈控制协议,以达到规定时间的二部输出一致性。最后通过仿真算例验证了主要结果的有效性。关键词:异步DoS攻击;约定的期限一致;Matrix-weighted网络;动态事件触发机制;双方的共识。
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引用次数: 0
Continuous bounded control of feedforward nonlinear systems with low-order power and nonlinear growth rate 具有低阶功率非线性增长率的前馈非线性系统的连续有界控制
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-20 DOI: 10.1016/j.amc.2026.129964
Liang Liu, Rulan Bai, Gang Sun
This paper concentrates on the global strong stabilization for a type of feedforward nonlinear systems subject to the low-order power and nonlinear growth rate. On the strength of the bottom-up recursive design philosophy and the introduction of proper coordinate changes, the continuous and bounded state feedback controller is constructed in an explicit form. Under the generalized Lyapunov stability criterion, it is proved that the developed control scheme ensures that the trivial solution of the closed-loop system (CLS) is globally strongly stable (GSS). Two examples are given to show the feasibility of the developed control approach.
研究一类具有低阶功率和非线性增长率的前馈非线性系统的全局强镇定问题。在自底向上递归设计思想的基础上,引入适当的坐标变化,以显式形式构造连续有界状态反馈控制器。在广义Lyapunov稳定性判据下,证明了所提出的控制方案能保证闭环系统的平凡解是全局强稳定的。最后给出了两个算例,说明了所提出的控制方法的可行性。
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引用次数: 0
Memory capacity and decision preference co-shape cooperation in public goods games 记忆容量与决策偏好共同塑造公共物品博弈中的合作
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-20 DOI: 10.1016/j.amc.2026.129956
Jingchu Jia , Luhe Yang , Duoxing Yang , Lianzhong Zhang
Empirically grounded bounded rationality decision-making, when information exchange is lacking, can be abstracted as an aspiration-driven dynamic mechanism within anonymous evolutionary games. Prospect Theory, meanwhile, provides a behavioral economics-based qualitative description for such decision-making. Therefore, we establish a micro-dynamic model based on Prospect Theory, incorporating psychological reference point dynamics, heterogeneous memory mechanisms, and asymmetric strategy updating dynamics. We systematically examine the influence of individual cognitive and behavioral parameters on the evolution of cooperation. Through Monte Carlo simulations and asynchronous update mechanisms, it reveals the complex interaction among factors such as memory capacity, decision preference, strategy updating sensitivity, synergy factor, and initial cooperation proportion. Findings indicate that the effect of memory capacity on cooperation strongly depends on decision preferences, long memory significantly promotes cooperation only when individuals exhibit more greedy as defectors. Strategy updating sensitivity can either enhance group steady-state cooperation level or compromise system stability. The synergy factor forms positive synergy with the memory mechanism by amplifying cooperation payoffs. Additionally, group steady-state cooperation levels are independent of initial conditions. These findings emphasize the condition-dependent nature of cooperation promotion. We suggest that future research should pay more attention to the important role of bounded rationality in modeling human decision-making behavior.
当缺乏信息交换时,基于经验的有限理性决策可以抽象为匿名进化博弈中的愿望驱动动态机制。同时,前景理论为这种决策提供了基于行为经济学的定性描述。因此,我们基于前景理论建立了一个包含心理参考点动力学、异质记忆机制和非对称策略更新动力学的微观动力学模型。我们系统地考察了个体认知和行为参数对合作进化的影响。通过蒙特卡罗仿真和异步更新机制,揭示了记忆容量、决策偏好、策略更新灵敏度、协同因子、初始合作比例等因素之间的复杂交互作用。研究结果表明,记忆容量对合作的影响强烈依赖于决策偏好,只有当个体表现出更贪婪的行为时,长记忆才能显著促进合作。策略更新敏感性既会提高群体稳态合作水平,也会损害系统稳定性。协同因素通过放大合作收益与记忆机制形成正向协同。此外,群体稳态合作水平与初始条件无关。这些发现强调了合作促进的条件依赖性。我们建议未来的研究应更多地关注有限理性在人类决策行为建模中的重要作用。
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引用次数: 0
A robust exact Riemann solver for a laminar two-phase flow model with two layers 两层层流两相流模型的鲁棒精确黎曼解算器
IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-20 DOI: 10.1016/j.amc.2026.129960
Lilu Sahu, T. Raja Sekhar
In this work, we analyze the solution of the Riemann problem for a quasilinear hyperbolic system of partial differential equations which describes the laminar two-phase flow model with two velocities. We explicitly construct rarefaction waves and shock waves with the help of the Riemann invariants and the Rankine-Hugoniot conditions, respectively. By using the continuity of averaged velocity and total density, we reduce the system of governing partial differential equations to a system of nonlinear algebraic equations and solve them exactly. Also resolve the complete wave structure of the two-layer two-phase flows. Various possible test cases are explored based on the wave configuration to assess the robustness of the proposed Riemann solver. Additionally we implement three finite volume schemes based on Godunov-type, whose solutions are independent of the proposed Riemann solver, to validate our analytical solution.
本文分析了描述两种速度层流两相流模型的拟线性双曲型偏微分方程组的黎曼问题的解。我们分别借助黎曼不变量和朗肯-休戈尼奥条件明确地构造了稀疏波和激波。利用平均速度和总密度的连续性,将控制偏微分方程组简化为非线性代数方程组,并对其进行了精确求解。还解析了两层两相流的完整波结构。基于波浪结构,探讨了各种可能的测试用例,以评估所提出的黎曼解算器的鲁棒性。此外,我们实现了三个基于godunov型的有限体积格式,其解与所提出的黎曼解无关,以验证我们的解析解。
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引用次数: 0
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Applied Mathematics and Computation
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