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Design and Application of Airport Barrier-free Guide System Based on Virtual Reality Technology
The Civil Aviation Administration of China (CAAC) has introduced a series of policies on airport accessibility infrastructure, which has clarified the direction for upgrading airport accessibility services and created urgent demands for the development and implementation of intelligent accessibility devices. Currently, most domestic airports still face challenges in accessibility design, including reliance on traditional facilities, lack of smart navigation systems, insufficient coverage in complex areas, and difficulties in adapting to the personalized travel needs of visually impaired passengers. These issues significantly impact the efficiency and experience of airport travel for the visually impaired community. The rapid development of virtual reality (VR) technology, with its capabilities in high-fidelity scene replication, immersive interactive perception, and precise spatial modeling, provides critical technical support for overcoming bottlenecks in airport accessibility smart device development. This holds significant practical value for enhancing the scene adaptability and user-friendliness of accessibility devices. Based on this, this paper focuses on airport accessibility guidance as a core application scenario, conducting research on the design and application of VR-integrated guidance systems. The study defines core system requirements and design principles, completes hardware selection and software module development, and validates system performance through scenario simulation tests. The research confirms that this VR-guided system effectively addresses pain points in existing airport accessibility services, aligns with CAAC's policy requirements, and creates safe, efficient, and convenient travel paths for visually impaired passengers. It also provides a practical model for technological innovation and application implementation of accessibility smart devices in the transportation sector.
Copyright (c) 2026 Yang Zhang, Yongqiang Shan, Yifei Su http://creativecommons.org/licenses/by/4.0
Simulation Research on Adaptive Control System of Combine Harvester Feeding Rate Based on Fuzzy PID
During field operations, combine harvesters frequently encounter significant fluctuations in feeding rates attributable to the stochastic nature of crop density and uneven growth patterns. These irregularities often precipitate critical mechanical failures, such as threshing drum blockages and engine stalling. To mitigate these operational risks, this study proposes a robust adaptive control strategy for feeding rate regulation rooted in fuzzy logic. Initially, a mathematical model of the system dynamics is constructed by analyzing the nonlinear coupling between the harvester’s forward speed and the feeding rate, incorporating characteristics of significant inertia and pure time delay. Addressing the inherent limitations of conventional PID algorithms—specifically their inadequate parameter adaptability and weak disturbance rejection under complex, time-varying conditions—a fuzzy adaptive PID controller is designed. This controller utilizes the feeding rate error () and its rate of change as inputs to facilitate online, real-time tuning of the proportional, integral , and derivative parameters via a fuzzy inference mechanism. Simulation experiments conducted on the MATLAB/Simulink platform demonstrate that, compared to traditional PID control, the proposed system reduces overshoot by approximately 14.2% (from 18.3% to 4.1%) when subjected to step changes in crop density. Furthermore, the settling time is significantly truncated, and steady-state error is effectively eliminated. These results corroborate that the proposed control strategy exhibits superior robustness and dynamic tracking capabilities, thereby satisfying the rigorous requirements for automated operation in modern precision agriculture.
Copyright (c) 2026 Shizhong Liu http://creativecommons.org/licenses/by/4.0
Research on the Evolution and Path Analysis of China’s Industrial Internet Industry Policy
New-generation information technologies have permeated all sectors of the economy and society. With the advancement of the Internet, the digital economy has thrived, rapidly expanding from the consumer domain to the production sector. The industrial economy has progressively evolved from digitalization toward networking and intelligence. In this context, the industrial internet has emerged as a pivotal driver for the transformation and upgrading of the manufacturing industry. Since 2015, the Chinese government has introduced a series of policies to actively promote the development of the industrial internet, establishing a relatively comprehensive policy framework. An analysis of the evolution of China’s industrial internet policies reveals a strategic shift in policy focus—from an initial emphasis on supply-side instruments to a more balanced integration of supply-side and environment-side measures—and a refinement of policy objectives, from constructing theoretical frameworks to addressing deeper challenges such as enhancing foundational innovation capabilities. Nevertheless, the development of the industrial internet continues to face significant challenges, including technological innovation bottlenecks, complex market demands, and persistent data security concerns. This paper reviews the evolutionary trajectory of industrial policies, analyzes the developmental pathway of the industrial internet from a macro-level perspective, and proposes an integrated optimization strategy for China’s industrial internet policy system.
Copyright (c) 2026 Wenjing Liang http://creativecommons.org/licenses/by/4.0
Research on the Impact of Digital Transformation on Enterprises’ New Quality Productivity
In the current turbulent global political and economic situation, experiencing unprecedented changes, new quality productivity and digital transformation have become hot topics in the field of national economy. From an international perspective, geopolitical conflicts and technological containment coexist, global industrial chains, supply chains, and innovation chains are deeply restructured, and external uncertainty has significantly increased; From the domestic situation, China is currently in a period of high-quality development, with rising labor costs, decreasing dividends from traditional factors, and bottlenecks in the economic cycle. New quality productivity, with technological innovation and data elements as its core, is a key lever for achieving quality change, efficiency change, and power change, which can promote economic development to “overtake”. As its landing path, digital transformation forms a higher level of dynamic balance between supply and demand, providing a new sustainable growth engine for Chinese path to modernization.
Copyright (c) 2026 Shijie He http://creativecommons.org/licenses/by/4.0
Research on the Reform of Consumption Tax from the Perspective of the Postponement of Collection Links
Against the backdrop of tax reduction and fee reduction, China proposed the reform of adjusting the collection link of consumption tax and transferring consumption tax revenue to local governments in 2019. So far, China has clarified the next direction of consumption tax reform: moving the collection link back to the wholesale or retail stage to expand local revenue sources, guide consumers to regulate their consumption behavior, and improve the consumption environment. Combining the current development status of consumption tax and the existing problems in its collection link, this paper elaborates on the necessity of postponing the collection link of consumption tax, and analyzes its feasibility—such as the support from local governments and consumer goods manufacturers. The implementation of policies related to the postponement of consumption tax collection may lead to some problems that urgently need to be solved, including increased tax costs, difficulties in tax collection and administration, and the broken balance of interests among governments, enterprises, and consumers. This paper also puts forward reasonable suggestions for the optimization of the postponement of China’s consumption tax collection link from the perspective of different subjects, taking into account the balance of interests of the government, enterprises, and consumers, so as to make the consumption tax policy more perfect and reasonable, create a standardized and orderly consumption environment, and give full play to the regulatory role of consumption tax in economic life.
Copyright (c) 2026 Lei Zhou http://creativecommons.org/licenses/by/4.0
The Impact of Institutional Investors’ Shareholding on the New Quality Productivity of “Specialized, Refined, Special, and New” Small and Medium-Sized Enterprises
Based on the data of Chinese A-share listed “Specialized, Refined, Special, and New” (SRSN) small and medium-sized enterprises (SMEs) from 2011 to 2023, this study examines the relationship and mechanism between institutional investors’ shareholding and enterprises’ new quality productivity through theoretical analysis and empirical research. The results show that institutional investors’ shareholding significantly promotes the new quality productivity of SRSN SMEs, and this effect is achieved by alleviating enterprises’ financing constraints. Finally, this paper puts forward policy suggestions including optimizing the financial support system, strengthening institutional investors’ sense of responsibility, and promoting regional coordinated development.
Research on the Impact of China’s Accession to CPTPP on Service Trade under the Background of RCEP
Against the backdrop of the accelerated development of the global digital economy and the deepening of regional economic integration, service trade has become an important engine for the high-quality development of China’s economy. Based on the reality that RCEP has already come into effect, this paper constructs a GTAP model containing both traditional and digital service sectors to simulate and assess the potential impact of China’s further accession to the CPTPP on service trade. The simulation results show that joining the CPTPP on the basis of RCEP will generate a significant “superposition effect,” with major macroeconomic indicators and social welfare outperforming the scenario of implementing RCEP alone. With the elevation of opening-up standards, the scale of China’s service trade will expand significantly, and the export growth potential of the digital service trade sector is higher than that of the traditional service sector, presenting obvious industry heterogeneity.
Copyright (c) 2026 Yaxin Wei, Yehuan Wang http://creativecommons.org/licenses/by/4.0
Research on the Linkage between Chinese and American Stock Markets
This article selects the VAR model to explore the performance linkage between Chinese and American stock markets. Firstly, this article selects the Shanghai and Shenzhen 300 Index and the Dow Jones Index as representative variables of the Chinese and American stock markets, uses daily data from March 1, 2017 to December 29, 2023 to construct and estimate VAR models, conduct model estimation, and analyze impulse responses. Finally, it concludes that there is a lag effect linkage between Chinese and American stock markets, with both indices showing positive volatility. The Dow Jones Index has a positive impact on the Shanghai and Shenzhen 300 Index, and vice versa. Based on this conclusion, it suggests that when formulating cross-border investment and risk management strategies, one should consider the impact of significant events affecting both Chinese and American stock markets.
Copyright (c) 2026 Junjie Ding http://creativecommons.org/licenses/by/4.0
Policy Uncertainty and Enterprise Investment Location Choice in the Context of Domestic Market Integration
Against the backdrop of global economic volatility and China’s push for a unified national market, domestic market integration has emerged as a key driver reshaping the investment environment for enterprises. Simultaneously, policy uncertainty—both domestic and international—has become a critical factor influencing firms’ strategic location decisions. This study examines the impact of policy uncertainty on enterprises’ investment location choices (intra-provincial investment, inter-provincial investment, and outward foreign direct investment) under the context of domestic market integration. Using data from Chinese A-share listed companies spanning 2010 to 2020, we employ multinomial logit models to test direct effects, moderating mechanisms, and heterogeneous impacts. The results reveal that domestic market integration significantly promotes inter-provincial investment, while internal policy uncertainty strengthens this tendency by encouraging risk diversification. External policy uncertainty, however, weakens the positive link between market integration and outward foreign direct investment, prompting enterprises to shift toward domestic inter-provincial investment. Heterogeneity analysis indicates that non-state-owned enterprises, large-scale firms, and those in eastern regions are more sensitive to these dynamics. Mechanism tests confirm that resource allocation efficiency, financing constraints, and technological innovation mediate the relationship between market integration, policy uncertainty, and investment location choice. Economic consequence analysis shows that inter-provincial investment and outward foreign direct investment both enhance enterprise performance (return on assets and total factor productivity) and contribute to regional economic development, with stronger effects in high-integration regions. These findings provide insights for enterprises to optimize investment strategies amid policy volatility and for governments to formulate policies promoting market integration and stable investment environments.Domestic Market Integration
Interdisciplinary Integration of Spatial Syntax and Urban Big Data: Building a New Generation Logistics Route Optimization Decision Framework
This paper addresses the limitations of traditional logistics route optimization models, which overly rely on historical average data and struggle to adapt to dynamic urban traffic environments. It proposes an interdisciplinary decision-making framework integrating spatial syntax with urban big data. The research aims to enhance route optimization accuracy and robustness by constructing a “spatial-temporal” dual-driven model. This model integrates static road network topology attributes (integration and connectivity values) generated by Depthmap with dynamic multi-source big data (historical traffic flow, time, and climate). Results demonstrate that compared to traditional shortest path models, this framework significantly reduces average travel time while improving network load balance and prediction accuracy. The conclusion asserts that this model effectively resolves the “shortest path not always optimal” challenge, providing a decision support tool for smart logistics that combines theoretical depth with practical value.
Copyright (c) 2026 Ye Yuan, Fang Yu http://creativecommons.org/licenses/by/4.0
The Impact and Role of the Digital Economy on the Resilience of the Real Economy
This study investigates how the digital economy takes shape within and influences the resilience of the traditional real economy. Integrating theoretical analysis with practical application insights, it explores the pervasiveness of digital technologies across the entire value chain—encompassing production, distribution, consumption, and even post-consumption services. The analysis reveals that digital technologies significantly enhance the adaptability and recovery capacity of economic systems amid shocks and disasters, primarily by optimizing resource utilization efficiency, stimulating innovative activities, and fostering inter-organizational collaboration. Furthermore, this study identifies and elaborates on the major obstacles hindering the transition from a traditional economic system to a digital-driven model, including the digital divide, technological integration barriers, and regulatory mismatches. It ultimately proposes a comprehensive policy framework aimed at creating a more inclusive, secure, and sustainable development model that maximizes the digital economy’s empowering effect on real economy resilience.
Copyright (c) 2026 Yuanwen Hai, Yehuan Wang http://creativecommons.org/licenses/by/4.0
Research on the Impact of Innovation Factor Agglomeration on the Development of Provincial Digital Economy
In the context of the rapid development of digital China, data has become a key element of production, and new generation technologies such as artificial intelligence and computing networks have accelerated integration and innovation. However, there is a significant “provincial gap” in the development of our country’s digital economy, and the gap between the east coast and the inland in the central and western regions is obvious, which is closely related to the spatial imbalance of innovation elements such as high-end talents, R&D capital, key technologies and data resources. Therefore, this paper selects 30 provinces in China (Tibet region, Hong Kong region, Macao region and Taiwan region are not included in the statistics due to serious lack of data) as the research objects, and uses entropy to synthesize the aggregation level (Ino) of innovation factors in 30 provinces from 2011 to 2022, covering three dimensions: talent, technology and capital. From the perspectives of digital infrastructure, digital industry development and digital financial inclusion, the comprehensive value (De) of the digital development level of each region from 2011 to 2022 is obtained, and control variables such as technology market development, urbanization level, government intervention, openness, employment density and regional financial development intensity are included, and the two-way fixed effect is selected as the benchmark regression model. Finally, through empirical research, the aggregation of innovation factors can significantly promote the development of the regional digital economy, and the robustness test of innovation factor aggregation has been postponed for a period of time, and the positive promotion results are still significantly improved, and finally the corresponding policy conclusions are given.
Copyright (c) 2026 Kaiwen Zhou http://creativecommons.org/licenses/by/4.0
Research on the Green Development Effect of Digital Economy under the Threshold of Environmental Regulation: An Empirical Test Based on China’s Provincial Panel Data
Under the current macro trend of deep integration of global green transformation and digital revolution, the relationship between the digital economy and environmental sustainability has become a cutting-edge issue as a key force in reshaping the economic and social form. However, digital technology is a “double-edged sword”, which may also be accompanied by new resource consumption and governance challenges while enabling efficiency improvement and model innovation. Although existing studies have focused on the impact of digital economy on green development, most of them focus on the discussion of linear relationships, and lack of systematic testing of their inherent complex mechanisms, especially ignoring the nonlinear moderating effects that may arise from institutional factors such as environmental regulation, as well as the structural constraints caused by the dependence on traditional development paths. Based on this, this study aims to construct an integrated analysis framework including direct effects, nonlinear thresholds and structural constraints, and deeply reveal the complex mechanism of digital economy development affecting green development efficiency. Based on the panel data from 2011 to 2022 in 30 provinces in China, this study uses the two-way fixation effect model, panel threshold model and dynamic lag model to conduct an empirical test. The results show that, firstly, the development of digital economy has a significant and continuous direct promotion effect on green development efficiency, and this conclusion is still stable after endogenous treatment and lag effect analysis, which confirms that digital technology effectively drives the “decoupling” of economic growth and ecological pressure by optimizing resource allocation, improving energy efficiency and promoting green business formats. Secondly, the intensity of environmental regulation plays a key nonlinear moderating role in the relationship between the two, showing a significant single threshold effect: when the intensity of environmental regulation is in a reasonable range (below the threshold value), it forms an “incentive compatibility” effect with the digital economy, jointly promoting the improvement of green efficiency. However, when the intensity of regulation exceeds the critical point, excessive compliance costs and innovation crowding out effects will weaken the green empowerment potential of the digital economy, resulting in a diminishing marginal contribution. Finally, the study also identifies important structural constraints: the traditional extensive urbanization model and the under-optimized government intervention mode have a significant inhibitory effect on green efficiency, which highlights the necessity of collaborative promotion of governance and development mode transformation in the process of digital transformation. The contribution of this study is not only to empirically verify the green dividend of the digital economy, but more importantly, to reveal the institutional conditions and structural constraints of this dividend release, breaking through the linear assumptions of previous studies. The conclusion provides multi-dimensional enlightenment for policy formulation: at the strategic level, we should adhere to the synergy of digitalization and greening; At the regulatory level, it is necessary to implement precise and differentiated environmental policies and seek a dynamic balance between “incentive innovation” and “strict constraints”; At the path level, it is necessary to promote the transformation of urbanization and government governance to a high-quality model, so as to systematically unlock the green development potential of the digital economy.
Construction of Physician Group Profiles in Online Medical Consultation Platforms: A Tripartite Physician-Patient-Platform Perspective
Constructing physician group profiles within online medical consultation platforms enables the precise characterization of multi-dimensional features of physician cohorts. This approach facilitates a better understanding of physicians’ behavioral patterns and service quality on these platforms, thereby providing support for service optimization. Drawing upon existing research on factors influencing patients’ physician selection behavior, a conceptual model for physician profiling was established from three dimensions: physician, patient, and platform. Using the concept lattice method, profiles for dermatology and venereology physicians on the Haodf.com platform were constructed. Based on the Hasse diagram, the physician cohort was categorized into four distinct types: high-value elite, multi-domain active, high-efficiency interaction, and potential-to-be-explored. Furthermore, implicit dependencies among attribute tags were uncovered through association rule mining. Adopting a tripartite “physician-patient-platform” perspective, we developed a group profile for physicians on online consultation platforms, which validates the efficacy of the concept lattice method for such profiling. The mined association rules further reveal the interrelationships within the “physician-patient-platform” data, offering data-driven support for optimizing physician management, enhancing service quality, and enabling precise recommendations on these platforms.
Copyright (c) 2026 Qiuqing Meng, Jixiu Yang, Yujie Luo, Xiangjun Zhou http://creativecommons.org/licenses/by/4.0
Institutional Investor Shareholdings and Corporate Sustainability: A Study from the Perspective of Corporate Governance
This research analyzes how institutional investors' holdings of shares impact enterprises' sustainability-development activity as facilitated by corporate governance systems between investors and other stakeholders. Using agency theory and stakeholder theory, an analytical framework was developed by the authors to examine the various pathways that institutional investors (IIs) exercise their oversight responsibilities in addition to their strategic roles. The authors state that embedding environmental, social, and governance (ESG) measures into executive-incentive agreements can significantly improve corporate performance, and active ownership practices of IIs combined with synergy from other IIs also provide an important foundation for these measures. The researchers conclude that the construction of a governance ecosystem that is based upon long-term value is central to promoting sustainable development through institutional capital.
Copyright (c) 2026 Mingxuan Cao http://creativecommons.org/licenses/by/4.0
Research and Design of Reactor Temperature Control System Based on RBF Neural Network
Aiming at the time-varying, nonlinear and large time-delay problems of chemical reactor temperature control systems, this study focuses on the continuous stirred tank reactor (CSTR) for aniline hydrogenation to cyclohexylamine, and conducted modeling, advanced control algorithm design and simulation verification of the temperature control system. The temperature control mathematical model was established by fitting process data with Aspen software and parameter identification via MATLAB System Identification Toolbox. Cascade control schemes of traditional PID, BP neural network PID and LPSO-RBF-PID were designed, and their control performances were compared through Simulink simulation. Results show that the proposed control scheme has significantly better anti-interference ability than traditional ones, providing an effective technical solution for precise temperature control of industrial reactors.
Copyright (c) 2026 Wenjie Wang, Yanan Meng, Yingxu Huang http://creativecommons.org/licenses/by/4.0
A Multi-Scenario Smartphone Battery Life Optimization Model Based on the Entropy Weight Method, Grey Relational Analysis, and Linear Programming
To mitigate the bottleneck of insufficient smartphone battery life in high-frequency usage scenarios and balance endurance performance with user experience, this study develops a multi-scenario battery life optimization model. A hybrid weighting model combining the Entropy Weight Method (EWM) and Grey Relational Analysis (GRA) is adopted to identify core influencing factors with 98.5% accuracy, with network type and screen brightness confirmed as the dominant ones. Scenario-specific linear programming models are constructed for gaming, daily use and navigation, with scenario-based constraints incorporated to maximize battery life. The model achieves an average 18.7% improvement in battery life, with respective gains of 22.3%, 18.7% and 15.2% for the three scenarios. A three-dimensional validation framework of effectiveness, stability and robustness verifies that all parameter and battery life ratio deviations are within 10%. Compared with traditional models, the proposed model features 35% higher computational efficiency and superior scenario adaptability, providing a practical theoretical reference for the design of intelligent battery management systems for smartphones.
Copyright (c) 2026 Jianchuan Zhu, Jiuming Wang http://creativecommons.org/licenses/by/4.0
Multi-Objective Programming-Based Tour Route Planning
This paper develops personalized 144-hour itineraries for foreign tourists in China, accounting for differences in preferences, attraction density, travel time, and the combined cost of admission and transportation. For Problem 1, multi-source appendix data were merged into a single Excel sheet and attractions with missing ratings were removed. Ratings were then sorted, showing 5 as the maximum score; 2,563 attractions achieved this level, and cities were grouped by their counts of 5-point (BS) attractions. Among 334 cities with BS attractions, 16 cities have at least 15 such sites, with the top ten including Sansha, Wujiaqu, Yuxi, Yiyang, Tianmen, Yantai, Weifang, Greater Khingan Range, Alar, and Xingtai. For Question 2, an evaluation system covering city scale, environmental protection, cultural heritage, and transport convenience was built. After standardization, indicator weights were derived via the entropy method and combined with TOPSIS to rank cities; SPSS produced the “Top 50 Most Desirable Cities for Foreign Tourists.” For Questions 3–5, attraction clustering along the southeast coast was used to reduce travel time, and multi-objective integer programming models were solved in Matlab. The resulting itineraries cover 14 cities (124.8 hours, 1,812 yuan), 13 cities under stronger cost constraints (107.38 hours, 868 yuan), and a mountain-themed 10-city route (111.95 hours, 1,443 yuan).
Copyright (c) 2026 Li Yinan http://creativecommons.org/licenses/by/4.0
Volatile Fatty Acid Production from Chicken Manure under Acidic and Alkaline Anaerobic Fermentation: Ammonia Inhibition and Microbial Mechanisms
This study investigated the effect of initial pH on volatile fatty acid (VFAs) production during anaerobic fermentation of chicken manure and further elucidated the mechanisms of ammonia inhibition and microbial community dynamics. The results showed that weakly acidic to neutral conditions (pH=5 and 7) were most favorable for VFA accumulation, reaching a maximum of 16264.2 mg COD/L, while strongly acidic (pH=3) or strongly alkaline (pH=11) conditions inhibited VFA production. Under optimal pH conditions, the activation of acidogenic bacteria and the inhibition of methanogens by high ammonia nitrogen concentrations promoted VFA accumulation. Microbial community analysis revealed that Firmicutes and Bacteroidota were the dominant phyla, with Romboutsia and Lactobacillus identified as key genera under acidic conditions, while Bacillus and Bacteroides played crucial roles under neutral conditions. Metagenomic prediction further indicated that carbohydrate and amino acid metabolism were the dominant metabolic pathways, with key functional enzymes including pyruvate ferredoxin oxidoreductase [EC:1.2.7.3], acetyl-CoA carboxylase [EC:6.4.1.2], and phosphoglycerate mutase [EC:5.4.2.12]. This study elucidates the pH-dependent mechanisms of VFA production and identifies the key microbial taxa and enzymatic processes that regulate acidogenic fermentation.
Copyright (c) 2026 Yukang Gu, Xiao Huang http://creativecommons.org/licenses/by/4.0
Debt Governance Spillovers: How Local Government Financing affects Enterprise Green Transformation
This study conducts quasi-natural experiment based on local government debt governance launched in China in 2015. Employing a progressive difference-in-differences (DID) approach, this study matches data from Chinese-listed enterprises from 2010 to 2019 to evaluate the effect of the local government debt governance on enterprise green transformation. Findings indicate that debt governance significantly promotes the green transformation of enterprises. This conclusion remains robust after multiple robustness tests. Mechanism analysis reveals that debt governance enables the green transformation of enterprises by alleviating overcapacity. Heterogeneity analysis shows that debt governance significantly promotes the green transformation of enterprises in cities with advanced industrial structures, environmental priorities, non-resource-based economies, and among non-state-owned and technology-intensive enterprises. This study offers valuable insights for countries managing public debt while promoting green transformation among enterprises.
Copyright (c) 2026 Xiaoyu Zhai http://creativecommons.org/licenses/by/4.0