Interlocking Director Networks and Systemic Risk in Financial Institutions [0.03%]
交联董事网络与金融机构的系统性风险
Kaiwei Jia,Xintian Li
Kaiwei Jia
The study investigates how interlocking director networks influence systemic risk in financial institutions. Drawing on social network theory and resource dependence theory, using a sample of 129 A-share listed financial institutions in Chi...
P Moon,M S Fairbanks,J Schirillo et al.
P Moon et al.
Fractals are formed by patterns that repeat across multiple size scales. They are found in natural structures (for example, trees, clouds, and mountains) and have also been generated by artists and mathematicians. Previously, the authors ha...
Vikas N OReilly-Shah
Vikas N OReilly-Shah
Consciousness science has generated diverse theoretical frameworks, each offering insights into different aspects of conscious experience. However, this diversity has created a fractured landscape: theories operate at different explanatory ...
Joanna RencÅ Awowicz,Marcin ChoiÅ Ski,Urszula Skwara
Joanna RencÅ Awowicz
In this study, we examine a two-strain dengue model that captures the interactions between human and mosquito populations. The proposed model incorporates the possibility of reinfection with a different strain and vertical transmission of t...
Wiktor Mazin
Wiktor Mazin
This article introduces quantum fractal art, a novel fusion of quantum computing and fractal mathematics that reimagines the classic Julia set through the lens of quantum mechanics. Rooted in foundational principles such as quantum superpos...
The "Two Worlds, Two Urns" Experiment: A Teacher's Reflection on Ergodicity and Economic Methodology [0.03%]
“两个世界,两个瓮的实验”——一名教师关于遍历性及经济研究方法的思考
Tomasz Kopczewski,Tomasz Potocki
Tomasz Kopczewski
Two Worlds, Two Urns is a turnkey classroom experiment that empirically demonstrates and teaches ergodicity, while also serving as a compact research protocol for history-dependent dynamics in behavioral economics. By contrasting an ergodic...
Lambert W Function in Solving Delay Differential Equations for Modeling in Economics and Finance [0.03%]
Lambert W函数在经济和金融建模中的延迟微分方程求解中的应用
Adam Krawiec,Akio Matsumoto,Anna Połeć
Adam Krawiec
This paper is a study of applications of the Lambert W function to solve delay differential equation models that arise in economics and finance. The Lambert W function, one of the mathematical special functions, is a basis of an effective t...
Jose Alvarez-Ramirez,Monica Meraz,Eduardo Rodriguez
Jose Alvarez-Ramirez
Entropy-based methods have gained increasing prominence in analyzing and detecting patterns in complex systems data. Key aspects such as fractality, time reversibility, and nonlinearity are commonly characterized using these methods, often ...
On the Effectiveness of Sparse Identification Methods to Detect Nonlinear Models of Oscillatory Dynamics in Psychology and the Life Sciences [0.03%]
稀疏识别方法在心理学和生命科学振动态非线性模型检测中的有效性研究
Alessandro Maria Selvitella,Elliot Allen
Alessandro Maria Selvitella
Traditionally, applied mathematics and nonlinear analysis have focused on creating models of real-world systems using first principles. However, in many contemporary scientific domains, first-principles approaches face increasing limitation...
Estimating Fractional Dependencies and Scale Invariance in Univariate Time Series Data: A Primer [0.03%]
一维时间序列数据的分数依赖性和标度不变性的估计:入门指南
Matthijs Koopmans
Matthijs Koopmans
The estimation of fractal patterns in time series data is a small but important specialty in the expansion of research methods that are specifically attuned to dealing with nonlinear dynamics and complex processes. This paper provides a bri...