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Global Flow of Foreign Aid and Change in Recipients’ Local Labor Institutions Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-4-9 Shuzhen Niu, Xiang Gao, Zhenhua Gu, Yingchao Zhang, Qian Wei
How does foreign aid affect recipient countries’ labor institutions? Extant empirical evidence is sparse due to ambiguous theoretical predictions and potential endogeneity issues. This study uses data detailing aid flow and institutional functions to mitigate such inconclusiveness and displays originality by constructing a concise theoretical framework in which foreign aid contributes to the improvement
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A Model for the Propagation and Control of Pulmonary Tuberculosis Disease in Kenya Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-31 Erick Mutwiri Kirimi, Grace Gakii Muthuri, Cyrus Gitonga Ngari, Stephen Karanja
Pulmonary tuberculosis is among the leading infectious diseases causing mortality worldwide. Therefore, scaling up intervention strategies to reduce the spread of infections in the population is imperative. In this paper, a population-based compartmental approach has been employed to formulate a mathematical model of pulmonary tuberculosis that incorporates an asymptomatic infectious population. The
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Price-Volume Relationship in Bitcoin Futures ETF Market: An Information Perspective Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-31 Xudong Wang, Xiaofeng Hui
Bitcoin futures exchange-traded funds (ETFs) are recent innovations in cryptocurrency investment. This article studies the price-volume relationship in this market from an information perspective. We first propose effective mutual information which has better estimation accuracy to analyze the contemporaneous relationship. Using half-hourly trading data of the world’s largest Bitcoin futures ETF, we
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Bézier Cubics and Neural Network Agreement along a Moderate Geomagnetic Storm Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-26 Emre Eroglu, Mehmet Emir Koksal
The discussion models the IRI-2012 TEC map over a moderate geomagnetic storm period (5 days) in February 2015 and compares the yield of the models. The models are constructed with the help of cubic Bézier curves and machine learning. In a sense, the comparison of a classical and mechanical approach with a modern and computer-based one is a considerable experience for the paper. The parametric curve
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Dynamic Analysis of a Simple Cournot Duopoly Model Based on a Computed Cost Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-25 S. S. Askar, Ahmad M. Alshamrani
The paper is organized to study some mathematical properties and dynamics of a simple Cournot duopoly game based on a computed quadratic cost. The time evolution of this game is described by a two-dimensional noninvertible discrete time map using the bounded rationality mechanism. For this map, some dynamic characteristics such as multistability and synchronization are investigated. Its equilibrium
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Decision Support System for Single-Valued Neutrosophic Aczel–Alsina Aggregation Operators Based on Known Weights Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-20 Sajid Latif, Kifayat Ullah, Abrar Hussain, Amrullah Awsar
Multiattribute decision making (MADM) approach is a well-known decision-making process utilized in a variety of fields such as solid waste management, renewable energy resources, air quality assurance, hotel location decision, sustainable supplier selection, partner recognition, green supplier enterprises, game theory, construction development authority, and weapon group target estimation. The aggregation
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Impact of Corporate Social Responsibility on Operations of a Live-Streaming Supply Chain Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-19 Suqin Sun, Haodong Zheng, Tao Hang, Xuemei Zhang
Corporate social responsibility (CSR) is widely noticed as an essential tool for business operation and sustainable development. Meanwhile, the fiercely competitive external environment and unpredictable events prompt enterprises’ cooperation to prevent supply chain collapse. We investigate the cooperative strategy in a live-streaming supply chain (LSC) consisting of a dominant brand owner, a retailer
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Numerical Analysis and Computation of a Subgrid-Sparse-Grad-Div Stabilization Method for Incompressible Flow Problems Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-13 Yun-Bo Yang, Bin-Chao Huang
In this article, a subgrid-sparse-grad-div method for incompressible flow problem was proposed, which is a combination of the subgrid stabilization method and the recently proposed sparse-grad-div method. The method maintains the advantage of both methods: (i) It is robust for solving incompressible flow problem with dominance of the convection, especially when the viscosity is too small. (ii) It can
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Deep Reinforcement Learning and Auto-Differential Evolution Co-Guided Coal Washing Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-12 Mingcheng Zuo
Background. Coal washing is a complicated process and difficult to control, which has many controlling parameters with strong coupling relationship. It is still a challenge to realize the self-perception, self-adjustment, and self-evaluation of coal washing machine, improve the quality of coal washing, ensure production safety, and reduce labor cost. Methods. Through the intelligent transformation
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Quantum Game-Based Study on the Incentive Mechanism for the Cooperative Distribution of E-Commerce Logistics Alliance Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-6 Liying Zhang, Fujian Chen
Motivating active participation in e-commerce logistics alliances to enhance delivery efficiency and customer satisfaction has long been a societal interest. Leveraging the quantum game theory, this paper develops a model for incentivizing collaboration within these alliances. This model enables theoretical and numerical analysis of members’ strategies and entanglement levels. The findings show that
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Multiple Solutions of a Nonlocal Problem with Nonlinear Boundary Conditions Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-3-2 Jie Liu, Qing Miao
In this article, we consider a class of nonlocal p(x)-Laplace equations with nonlinear boundary conditions. When the nonlinear boundary involves critical exponents, using the concentration compactness principle, mountain pass lemma, and fountain theorem, we can prove the existence and multiplicity of solutions.
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Novel Complex Intuitionistic Hesitant Fuzzy Distance Measures for Solving Decision-Support Problems Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-2-19 Shahzaib Ashraf, Muhammad Ahmed, Muhammad Naeem, Quashie Duodu
The key objective of this article is to introduce the innovative idea of a complex intuitionistic hesitant fuzzy set (CIHFS), which blends the intuitionistic hesitant fuzzy set with the complex fuzzy set to address the uncertain information in real-life complex problems. In CIHFS, the range of the membership functions is extended from the subset of the real number to the unit disc under the hesitant
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Dynamical Behavior and Expressions of Solutions of a Class of Higher-Order Nonlinear Difference Equations Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-2-12 Ghada AlNemer, Lama Sh. Aljoufi, A. M. Ahmed, Samir Al Mohammady, M. Zakarya, H. M. Rezk
The aim of this article is to get the forms of the solutions of the following nonlinear higher-order difference equations where the initial conditions and are arbitrary real numbers. Also, we examine stability, boundedness, oscillation, and the periodic nature of these solutions.
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Disruption Risk Analysis of Substitutable Dual Product Supply Chain: A System Dynamics Framework Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-2-6 Jing Ke, Weiqiang Jia, Ye Zhou, Xin Wang
Uncertain events such as earthquakes, epidemics, and wars have increased the risk of supply chain disruption. Due to the needs of carbon reduction policies and environmental protection, a large number of enterprises have started to produce both traditional and green products. Studying the issue of supply chain disruption for such enterprises has significant practical significance. We have developed
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Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-2-1 Abdulmajeed Atiah Alharbi
Class noise is a common issue that affects the performance of classification techniques on real-world data sets. Class noise appears when a class variable in data sets has incorrect class labels. In the case of noisy data, the robustness of classification techniques against noise could be more important than the performance results on noise-free data sets. The decision tree method is one of the most
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Bibliometric Analysis on the Distributed Decision, Decentralized Decision, and Fuzzy Logic Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-1-25 Nihan Çağlayan, Sina Abbasi, İbrahim Yilmaz, Babek Erdebilli
This study aims to survey the bibliometric properties of distributed decisions, decentralized decisions, and fuzzy articles published between 1995 and 2023 in the Web of Science (WoS) database. During the analysis process, the keywords “distributed decision, decentralized decision, and fuzzy” were scanned in all languages, both in the titles and the content of all publication types. As a result of
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Research on Nash Equilibrium of Dual-Channel Supply Chain Based on Wholesale Price Discrimination and Sales Efforts Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-1-18 Jin Sha, Sisi Zheng
The progress of communication technology and the Internet has made the dual-channel supply chain have great development. Supply chain members have to compete and cooperate with other enterprises on the chain in order to obtain greater self-benefit. In the competitive-cooperative relationship among enterprises, price discrimination and sales effort are common tools of operation, and Nash equilibrium
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Confidence Levels Measurement of Mobile Phone Selection Using a Multiattribute Decision-Making Approach with Unknown Attribute Weight Information Based on T-Spherical Fuzzy Aggregation Operators Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-1-10 Muhammad Rizwan Khan, Kifayat Ullah, Qaisar Khan, Izatmand Haleemzai
Advancement in mobile phone (MP) technology has revolutionized the lifestyle. In recent years, we observed that MP technology had been involved in almost all aspects of life, such as communication purposes, e-commerce, mobile baking, and social media connectivity. So, it becomes a hot research topic to select the best MP that fulfills the desired feathers requirement. In this paper, the expert’s familiarity
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Asymmetric Impact of Heterogenous Uncertainties on the Green Bond Market Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-1-3 Samuel Asante Gyamerah, Henry Ofoe Agbi-Kaiser, Clement Asare, Nelson Dzupire
Investing in green bonds has been recognized as a strategy that not only promotes environmental performance but also offers attractive investment returns. However, macroeconomic factors, such as geopolitical risk (GPR), climate policy uncertainty (CPU), and global economic policy uncertainty (GEPU), play a substantial role in shaping green bond returns. Using the returns of US green bonds as a proxy
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Based Fault-Tolerance Consensus of Second-Order Heterogeneous System under Input Saturation with Dynamics and Static Leader Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2024-1-2 Jie Wu, Zijing Li, Xisheng Zhan
We focus on fault-tolerant consensus for heterogeneous dynamics systems with static and dynamic leaders under input saturation in this article. We apply theory of finite-time stability to multiagent system cooperative control. Also, we use integral sliding mode to overcome disturbance. The primary goal is a set of second-order linear and second-order nonlinear agents moving along the leader’s trajectory
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CMAIS-WOA: An Improved WOA with Chaotic Mapping and Adaptive Iterative Strategy Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-12-19 Chao-Hsien Hsieh, Qing Zhang, Ya Xu, Ziyi Wang
This paper proposes an improved whale optimization algorithm with chaotic mapping and adaptive iteration strategy (CMAIS-WOA). This algorithm addresses the issues of the WOA algorithm that is prone to local optimal solutions with low stability. CMAIS-WOA utilizes chaotic mapping to enhance the diversity and coverage of the initial population. Also, it adaptively adjusts the weight values based on the
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Blockchain-Based Inventory System considering Uncertain Carbon Footprints and Pandemic Effects Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-12-18 P. Mala, M. Palanivel, S. Priyan
The global supply chain has been severely impacted with the outbreak of COVID-19. The continuous supply of essential products in the post-COVID-19 world is a truly effective and strategic contest. The security and useability of inventory management are a main burden for industries along with the pressure from the government to fulfil the targets of net-zero economy in an uncertain circumstance. One
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Investigating Interaction Dynamics among Nonoil Economic Growth and Its Most Important Determinants: Evidence from Saudi Arabia Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-12-15 Badr Saleh Al-Abdi, Abdallah M. M. Badr, Faisal A. M. Ali, Tawfik M. A. Jabbar, Fahmy Al–Salwi
Over the past decades, Saudi Arabia’s economic development has strongly depended on oil revenues fueled by the rise of oil prices and the strong global market demands for crude oils. However, the country can no longer depend on oil revenues in the face of the dynamic global market, and hence, the Saudi government’s Vision 2030 seeks to reduce this dependence and diversify the economy’s sources of income
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Evaluation of Flavor Type of Tobacco Blending Module: A Prediction Model Based on Near-Infrared Spectrum Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-12-14 Lin Wang, Yuhan Guan, Yaohua Zhang
Near-infrared spectrum technology is extensively employed in assessing the quality of tobacco blending modules, which serve as the fundamental units of cigarette production. This technology provides valuable technical support for the scientific evaluation of these modules. In this study, we selected near-infrared spectral data from 238 tobacco blending module samples collected between 2017 and 2019
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Topological Descriptors and QSPR Modelling of HIV/AIDS Disease Treatment Drugs Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-11-25 Fozia Bashir Farooq, Saima Parveen, Nadeem Ul Hassan Awan, Rakotondrajao Fanja
A topological index is a real number derived from the structure of a chemical graph. It helps determine the physicochemical and biological properties of a wide range of drugs, and it better reflects the theoretical properties of organic compounds. This is accomplished using degree-based topological indices. We examined some of the physiochemical characteristics of thirteen HIV therapy medications and
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Some Identities of Fully Degenerate Dowling Polynomials and Numbers Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-11-14 Lingling Luo, Yuankui Ma, Wencong Liu, Taekyun Kim
Recently, Kim-Kim introduced the degenerate Whitney numbers of the first and second kind involving the degenerate Dowling polynomials and numbers. In this paper, we introduce the fully degenerate Dowling polynomials and the fully degenerate Bell polynomials and derive some identities involving these polynomials. We also obtain the generating functions, expressions, and recurrence relations for the
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Does Fiscal Mechanism Affect the Promotion of Outward Foreign Direct Investment in Green Innovation? Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-11-10 Xiao Lei, Yuanyuan Xie, Xianfeng Chen
This study aims to investigate the driving mechanisms behind outward foreign direct investment (OFDI) on regional green total factor innovation efficiency (GTFIE), focusing specifically on the external fiscal factor perspective. We measured the GTFIE using the super slacks-based model and established a threshold model using financial agglomeration and fiscal decentralization as moderating variables
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Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-11-8 De Zhao, Lan Chen
It is important in image restoration to remove noise while preserving sharp edges and fine details such as blurred thin edges and low-contrast fine feature. The Perona–Malik (P-M) model is a well-known anisotropic diffusion denoising model, which can effectively remove noise while preserving edges. However, its diffusion coefficient only associates with the gradient of each pixel but not with the local
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Research on Government Green Subsidy Strategy of Heterogeneous Agricultural Product Supply Chain Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-11-8 Rong Wu, Yanqi Chen, Man Jiang, Jian Zhang
To promote dual carbon targets, this study builds a heterogeneous agricultural product supply chain comprised of a green agricultural product producer, an ordinary agricultural products producer, and a retailer. This study constructs four strategic government green subsidy models, wherein the nongovernment subsidy, government subsidy for green agricultural producers, subsidy for green consumers, and
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Carbon Emission Performance of Robot Application: Influencing Mechanisms and Heterogeneity Characteristics Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-11-1 Luguang Zhang, Qitaisong Shen
With the new round of technological revolution and industrial change, industrial robots have an important role to play in the fight against climate change and in achieving the goal of “carbon peaking and carbon neutrality.” Based on the panel data of the application level of industrial robots in Shanghai and Shenzhen A-share listed companies from 2011 to 2019, this study examines the impact of industrial
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Reverse Logistics Implementations Solutions: Interval Type 2 FAHP-FTOPSIS Approach Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-31 Sedigheh Solati, Payam Shojaei, Moslem Alimohammadlou, Zahra Heidari Hesamabadi
In recent years, reverse logistics (RL) has come to the fore as an important issue, given the increasing environmental concerns, corporate social responsibility, and sustainable competition. Today, RL is considered a strategic activity. Legal requirements, social responsibilities, environmental concerns, economic interests, and customer awareness have led manufacturers to produce eco-friendly products
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Selection of EVs as Tourist and Logistic Means of Transportation in Bosnia and Herzegovina’s Nature Protected Areas Using Z-Number and Rough Set Modeling Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-31 Adis Puška, Anđelka Štilić, Darko Božanić, Aleksandar Đurić, Dragan Marinkovic
This research focuses on the use of electric vehicles (EVs) to transport visitors and cargo within Bosnia and Herzegovina’s Kozara National Park. Reduced air pollution and the preservation of natural resources are required to help protect this aerial spa. Together with the expert employees of this NP, the EV that would best suit their needs was chosen. The process of decision-making combines subjective
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Automotive Product Portfolio Design from the Perspective of Energy Sustainability: Multicriteria Decision-Making Based on Lotka–Volterra MCGP Model Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-19 Jing Liang, Sheng-Yuan Wang, Xiao-Lan Wu
Low energy consumption and green transformation of automobile product portfolio is the trend of the times. Automotive manufacturers make product portfolio decisions by setting multiple criteria such as fuel consumption, sales, and volume. It is also important to take into account the symbiotic interaction effects between automotive products. In order to achieve the above research objectives, this paper
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A Comparative Study of Particle Swarm Optimization and Artificial Bee Colony Algorithm for Numerical Analysis of Fisher’s Equation Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-18 Geeta Arora, Kiran Bala, Homan Emadifar, Masoumeh Khademi
The aim of this research work is to obtain the numerical solution of Fisher’s equation using the radial basis function (RBF) with pseudospectral method (RBF-PS). The two optimization techniques, namely, particle swarm optimization (PSO) and artificial bee colony (ABC), have been compared for the numerical results in terms of errors, which are employed to find the shape parameter of the RBF. Two problems
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State Feedback H∞ Control for Trajectory Tracking of an Unmanned Surface Vehicle Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-18 Shufang Zhuo, Yonghui He, Yanwei Huang
Aiming at the sway velocity and uncertainties such as wind, wave, and current, a state feedback H∞ control method is proposed to improve the dynamic and steady-state performance with line of sight (LOS) law for trajectory tracking of an unmanned surface vehicle (USV). First, a novel LOS is proposed for trajectory tracking with the position error to obtain the references of surge velocity and heading
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Evaluation of Land Use/Land Cover Changes due to Urban Sprawl in Bengaluru Rural, Karnataka, India Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-17 A. Bharath, M. Manjunatha, T. V. Reshma, Ranjitha B. Tangadagi, Sifatullah Bahij
The availability of productive land is significantly impacted by the global phenomenon of urbanization. The amount of land available for food production and other essential activities decreases as cities grow because the urban perimeter encroaches on rural and natural areas. Conducting research on urban sprawl analysis and land use land cover (LULC) change assessment is essential in ensuring sustainable
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Fractional Derivative Model for Analysis of HIV and Malaria Transmission Dynamics Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-16 Kumama Regassa Cheneke
In this study, a Caputo fractional derivative is employed to develop a model of malaria and HIV transmission dynamics with optimal control. Also, the model’s basic properties are shown, and the basic reproduction number is computed using the next-generation matrix method. Additionally, the order of fractional derivative analysis shows that the infected group decreases at the beginning for the higher-order
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An Impulse-Quantizing Synchronization Approach for Mixed Continuous-Discrete Complex Networks Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-13 Na Hu, Luyan Li, Honghua Bin, Zhenkun Huang
This paper presents synchronization of mixed continuous-discrete complex network via impulse-quantizing approach. A delay-partitioning group strategy is proposed and impulse-quantizing control is designed to derive theoretical criteria ensuring scale-type synchronization of complex networks. Our results show that synchronization of mixed continuous-discrete complex networks can be realized by controlling
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Research on a Model for an Empirical Analysis of Inherent Defect Insurance Based on Ruin Theory Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-13 Xikang Yan, Zeyu Chen, Lida Wang, Qinyu Luo, Yunhan Yan, Tian Qiu, Peng Cheng, Shichao Wang
The system of inherent defect insurance is an important measure to serve the real economy through financial means and improve the quality of construction projects, which is the future development direction of China’s construction industry. However, the related research is not perfect due to the short implementation of the insurance. This could bring risks to the promotion of insurance for companies
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Pricing Policy Selection in a Platform Service Supply Chain with Online Reviews Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-10-7 Jing Tian, Xiaodong Wang, Jinhuan Meng, Pengfei Ma
In the operation of service-sharing platforms, online review information is crucial to attracting consumers. Considering consumers’ preference for online review information, this paper discusses the pricing policy selection for a service-sharing platform providing vertically differentiated services in sharing economy, which is worth studying. In this paper, a platform service supply chain composed
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Switching Delay Effects on Input-to-State Stability of Switched Systems Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-9-14 Yuanyuan Jia, Jingjing Wang, Dongling Cui
In this paper, input-to-state stability (ISS) is investigated for a class of nonlinear switched systems with time-varying switching delay, in which both ISS and non-ISS subsystems are considered simultaneously. By means of the Lyapunov function method, we show that ISS can be ensured for switched systems with time-varying switching delay if the activation time of ISS subsystems is sufficiently large
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A Jump Diffusion Model with Fast Mean-Reverting Stochastic Volatility for Pricing Vulnerable Options Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-9-14 Joy K. Nthiwa, Ananda O. Kube, Cyprian O. Omari
The Black–Scholes–Merton option pricing model is a classical approach that assumes that the underlying asset prices follow a normal distribution with constant volatility. However, this assumption is often violated in real-world financial markets, resulting in mispricing and inaccurate hedging strategies for options. Such discrepancies may result into financial losses for investors and other related
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-9-12 E. Romero, E. Ropero-Moriones
Developed as a refinement of stochastic volatility (SV) models, the stochastic volatility in mean (SVM) model incorporates the latent volatility as an explanatory variable in both the mean and variance equations. It, therefore, provides a way of assessing the relationship between returns and volatility, albeit at the expense of complicating the estimation process. This study introduces a Bayesian methodology
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Dual-Channel Decisions under Blockchain and Returns Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-9-5 Guangdong Liu, Ziyang Li, Jinggui Chen
Blockchain is currently used in a wide range of industries to improve the efficiency of the circulation of goods and effectively reduce counterfeiting in supply chains. In order to improve consumer trust in their purchases and reduce returns, the paper develops four models of consumers return based on blockchain technology from a consumer utility perspective. We conducted a Stackelberg game to analyze
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Hopf Bifurcation Analysis of a Continuous Investment Update Project Model Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-31 Debao Gao
Some investment projects aim not only to produce goods but more importantly, to update and efficiently supply products in accordance with market demand. A double time delay differential dynamics model is formulated for continuous renewal investment projects based on the flowchart of the capital appreciation process and the assumed transfer functions. By analyzing the mathematical model, it can be determined
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An Integrated Approach to Scheduling B-CAVs in Container Terminals considering Battery Management Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-25 Shuo Wang, Jiliang Luo, Weimin Wu, Dahai Zhang, Tao Zhang
With the aim of promoting environmental sustainability and enhancing transport efficiency, battery-powered connected and automated vehicles (B-CAVs) are employed to replace diesel-powered ones in horizontal transport systems (HTSs) of container terminals. The operational efficiency of an HTS can be increased by the cooperation of B-CAVs. However, it is time-consuming to charge them. Therefore, their
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Assessment of Financial Literacy and Its Impact on Investor’s Decisions in Saudi Arabia: A Study in the Context of Enabling Financial Planning to Strengthen Economic Development Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-24 Amar Johri, Misbah Ul Islam, Mustafa Kamal
The significance of financial literacy is increasing faster in today’s world. Financial literacy provides individuals with necessary and adequate financial knowledge and makes them professionally aware of managing their finances. It plays a vital role in the economic development of an economy. The study examines the impact of financial literacy on investors’ financial decisions, financial planning
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Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-23 Geeta Arora, Harshdeep Kaur, Homan Emadifar, Samaneh Roudgarnejad, Hesam Emadifar
In this article, an optimization strategy is presented for the numerical solution of Burgers’ equations, which play an important role in estimating and forecasting pollution. The method involves the exponential B-spline basis function as the basis function in the differential quadrature method. Since exponential B-spline involves a parameter, the artificial bee colony optimization algorithm is implemented
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Multivisit Drone-Vehicle Routing Problem with Simultaneous Pickup and Delivery considering No-Fly Zones Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-22 Yan-Qiu Liu, Jing Han, Ying Zhang, Yan Li, Tao Jiang
The employment of drones for the distribution of goods represents a significant avenue for addressing logistical challenges at the end of the supply chain. The truck-drone cooperative delivery model overcomes drone limitations such as limited capacity and endurance and has emerged as a crucial mode of drone participation in logistics delivery. This delivery model effectively reduces delivery costs
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On Generalized Proportional Fractional Order Derivatives and Darboux Problem for Partial Differential Equations Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-19 Abdellatif Ben Makhlouf, Mondher Benjemaa, Djalal Boucenna, Lassaad Mchiri, Mohamed Rhaima
The study of the existence and uniqueness of solutions to 2D systems utilizing the generalized proportional fractional derivative operator is the focus of this work. We also derive a finite difference scheme in order to numerically approximate such an operator, and we prove that the method we propose is convergent. Several tests are performed at the end to illustrate the robustness of our algorithm
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Metric Dimension of Line Graphs of Bakelite and Subdivided Bakelite Network Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-16 Muhammad Umer Farooq, Atiq ur Rehman, Tabarek Qasim Ibrahim, Muhammad Hussain, Ali Hasan Ali, Badr Rashwani
Graph theory is considered one of the major subjects, and it also plays a significant role in the digital world. It has numerous uses in computer science, robot navigation, and chemistry. Graph theory is employed in forming the structures of different chemical networks, locating robots on a network, and troubleshooting computer networks. Additionally, it finds applications in scheduling airplanes and
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Dynamic Behaviours and Bifurcation Analysis of a Filippov Ecosystem with Fear Effect Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-4 Ben Chu, Guangyao Tang, Changcheng Xiang
Evidences of the fear effect of the prey are well documented, which can greatly affect the dynamics of the predator-prey system. In this study, considering that the fear effect of the prey is triggered on as the density of the predator reaches and exceeds a threshold value, we develop a Filippov system of predator-prey model with the fear effect. In addition, we also include a modify factor of the
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Epidemiological Characteristics of Generalized COVID-19 Deterministic Disease Model Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-1 Shuo Li, Nasir Hussain, Ihsan Ullah Khan, Amjid Hussain, Shewafera Wondimagegnhu Teklu
Coronavirus disease 2019 (COVID-19) is an infection that can result in lung issues such as pneumonia and, in extreme situations, the most severe acute respiratory syndrome. COVID-19 is widely investigated by researchers through mathematical models from different aspects. Inspired from the literature, in the present paper, the generalized deterministic COVID-19 model is considered and examined. The
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Complex Dynamics and Chaos Control of a Discrete-Time Predator-Prey Model Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-8-1 Rizwan Ahmed, Muhammad Rafaqat, Imran Siddique, Mohammad Asif Arefin
The objective of this study is to investigate the complexity of a discrete predator-prey system. The discretization is achieved using the piecewise constant argument method. The existence and stability of equilibrium points, as well as transcritical and Neimark–Sacker bifurcations, are all explored. Feedback and hybrid control methods are used to control the discrete system’s bifurcating and fluctuating
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Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-7-27 Jiamin Zhang, Jiarui Zhang
Artificial intelligence (AI) has received much attention in the domain of railway traffic planning and management (TPM) from academia and industries. While many promising applications have been reported, there remains a lack of detailed review of the many AI models/algorithms and their uses and adaptations in rail TPM. To fill this gap, this systematic literature review conducts, reports, and synthesizes
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A Game Theory Approach for Supply Chain Coordination Model with Incentive Mechanisms of Discount and Delay in Payments Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-7-4 Mohammad Ferdousmakan, Roya M. Ahari, Mohammadreza Vasili, Majid Vaziri Sarashk
The uncertain nature of supply chains is one of the key challenges managers, and researchers encounter in decision-making. Accordingly, this paper proposes a three-echelon supply chain in which demands are uncertain. The proposed supply chain has three participants, including supplier, manufacturer, and retailer, while three decentralized, centralized, and coordination models have been formulated to
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Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-7-3 Yang Yang, Rui Lyu, Zhipeng Gao, Lanlan Rui, Yu Yan
Edge networking brings computation and data storage as close to the point of request as possible. Various intelligent devices are connected to the edge nodes where traffic packets flow. Traffic classification tasks are thought to be a keystone for network management; researchers can analyze packets captured to understand the traffic as it hits their network. However, the existing traffic classification
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Channel Management for Digital Products in the Two-sided Market with Network Externality Effects Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-6-28 Wei Li, Yan-Peng He, Shu-Gang Ma
Channel selection is a critical trade-off for digital products firms whose products are characterized by network externality. This work develops the models of consumers’ utility impacted by the network externality for two channel strategies of the digital product firms in the two-sided market: direct channel strategy and platform channel strategy. Deriving from the consumers’ utility, the optimization
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Behind Jarratt’s Steps: Is Jarratt’s Scheme the Best Version of Itself? Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-6-15 Alicia Cordero, Elaine Segura, Juan R. Torregrosa
In this paper, we analyze the stability of the family of iterative methods designed by Jarratt using complex dynamics tools. This allows us to conclude whether the scheme known as Jarratt’s method is the most stable among all the elements of the family. We deduce that classical Jarratt’s scheme is not the only stable element of the family. We also obtain information about the members of the class with
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Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument Discret. Dyn. Nat. Soc. (IF 1.4) Pub Date : 2023-6-15 Wenqing Zheng, Tao Xie, Wenxiang Fang
This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing the homeomorphism theory, sufficient conditions for the existence and uniqueness of the equilibrium point are obtained; using inequality technique and Lyapunov method, sufficient stability criteria for BAMCGNN with PCA are presented. Finally, a numerical