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  • New
  • Research Article
  • 10.1016/j.amc.2026.129959
Stochastic ecoevolutionary dynamics under coupled behavioral and environmental feedback
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Xiaoqian Zhao + 3 more

  • New
  • Research Article
  • 10.1016/j.amc.2026.129950
A simplified discontinuous reproducing kernel method for impulsive differential equations
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Liangcai Mei + 3 more

  • New
  • Research Article
  • 10.1016/j.amc.2026.129951
Evolutionary dynamics of cooperation in two-layer lattice networks with a leader-follower hierarchy: integrating dominant strategy and time cost
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Bolin Yang + 1 more

  • New
  • Research Article
  • 10.1016/j.amc.2026.129957
Dynamic event-triggered prescribed time bipartite consensus for matrix-weighted HMASs under asynchronous attacks
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Shuangfei Yin + 2 more

  • New
  • Research Article
  • 10.1016/j.amc.2026.129954
Sensor attack detection and identification for cyber-physical systems: A data-driven approach
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Kaiyu Wang + 1 more

  • New
  • Research Article
  • 10.1016/j.amc.2026.129974
Adaptive parameter-space refinement and Markov state models for eco-epidemiological dynamics
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Eymard Hernández-López + 3 more

  • New
  • Research Article
  • 10.1016/s0096-3003(26)00054-8
Editorial Board
  • Jul 1, 2026
  • Applied Mathematics and Computation

  • New
  • Open Access Icon
  • Research Article
  • 10.1016/j.amc.2026.129971
Nonlinear rank scaling and hidden structure in NHS expenditure transparency data
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Animotu Mohammed + 5 more

• Analysis of 1.96 million financial transactions from NHS transparency data. • Financial transparency limited to >£25k conceals most transactions. • Financial transparency limited to outgoing transactions limits public oversight. • Total expenditures to suppliers resemble word use kernel and extended lexicons. 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.

  • New
  • Research Article
  • 10.1016/s0096-3003(26)00066-4
Editorial Board
  • Jul 1, 2026
  • Applied Mathematics and Computation

  • New
  • Open Access Icon
  • Research Article
  • 10.1016/j.amc.2026.129956
Memory capacity and decision preference co-shape cooperation in public goods games
  • Jul 1, 2026
  • Applied Mathematics and Computation
  • Jingchu Jia + 3 more