Modern Management Science & Engineering (MMSE) is an international, Refereed, double-blind peer-reviewed, open-access journal published by Scholink. The mission of MMSE is to provide a high-level platform for experts and scholars all over the world to share their latest ideas of management and foster the prosperity of the discipline. We would welcome scholars and researchers engaging in the related field to submit your manuscripts to MMSE. Both of online submission and E-mail submission (mmse@scholink.org) are acceptable. We would welcome scholars and researchers engaging in the related field but is not limited to the following fields: Public Management and Engineering Management Science Theories and Methods Business Management Engineering Management Loop Management Agricultural Engineering Management Industrial Engineering and Operations Management: Policy and Risk Management Operations and Supply Chain Management Sustainable Management and Green Engineering Strategic Management and Organizational Behavior Integration of Information Technology and Management Others Both of online submission and E-mail submission (mmse@scholink.org) are acceptable. ------------------------------------------------------------------------ Open access: Modern Management Science & Engineering is available online to the reader "without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself." Peer review: Modern Management Science & Engineering takes peer review policy. Peer review is the evaluation of work by one or more people of similar competence to the producers of the work (peers).
Authors who publish with this journal must agree to the following terms: Authors should promise that their works are entirely original, and all the references in their works should be appropriately cited or quoted. The works have not been published previously. The behavior of submitting the same work to other journals is unacceptable. The journal editor has the right to edit the format of works.
China’s Smart City Development and the Enhancement of Enterprise New Quality Productive Forces
This paper constructs a quasi-natural experiment based on China’s batch-by-batch smart city pilot policy implemented between 2012 and 2015. Using a sample of 907 listed companies classified as “specialized, sophisticated, distinctive, and Novel” enterprises in China’s Yangtze River Delta region from 2011 to 2023, we employ a multi-period difference-in-differences model to empirically examine the driving effect of smart city development on the new quality productive forces of these firms. The findings reveal that the implementation of the smart city pilot policy has a significant positive impact on enhancing the level of new quality productive forces among the specialized, sophisticated, distinctive, and Novel(SSDN) enterprises in the Yangtze River Delta region. This conclusion remains robust after undergoing a series of tests, including parallel trend tests.This study not only enriches the research on the microeconomic effects of smart city policies but also provides empirical evidence and practical pathways for local governments to leverage smart city development for the targeted cultivation of new quality productive forces in enterprises.
Copyright (c) 2026 Chenglong Pan, Jiahuan Ma http://creativecommons.org/licenses/by/4.0
Research on the Influence of Firm Economic Policy Uncertainty Perception on the Level of Firm Risk Taking
Risk-taking level is a key factor determining corporate performance and growth rate. Moderate risk-taking contributes to the maximization of corporate value and high-quality economic development. However, corporate risk decisions are highly reliant on the anticipation of the macroeconomic environment. Current research often assumes that firms have a consistent perception of external uncertainties and employs national-level indicators to measure economic policy uncertainty. This paper innovatively approaches from the perspective of firm-level perception of economic policy uncertainty, taking into account perception heterogeneity, and delves into its impact on corporate risk-taking levels. It aims to enrich theoretical and empirical research in the field that combines macro and micro perspectives, providing decision-making references for government and corporate departments. Subsequently, hypotheses are proposed, and using China's Shanghai and Shenzhen A-share listed companies as the research subjects, this paper empirically examines the impact of the perception of economic policy uncertainty on corporate risk-taking levels and explores the mediating role of corporate investment. Based on the above conclusions, this paper puts forward policy recommendations from the perspectives of government policy formulation and implementation, the disclosure of firms' perception of economic policy uncertainty, investment decisions, and internal governance. This study enriches research in the field that integrates macro and micro perspectives, offering insights for the country to formulate long-term and stable economic policies and providing valuable references for firms to understand uncertainty and maintain appropriate risk-taking levels.
Copyright (c) 2026 Jiawen Xu, Xiongfeng Lin http://creativecommons.org/licenses/by/4.0
Research on the Correlativity of Daily Schedule Sequences and Academic Achievement among Senior High School Students Based on Dimensional Statistical Analysis
Based on the survey data of 54,102 eighth-grade students in Shanghai, this study adopts statistical methods such as multiple regression analysis, threshold model and Shapley value decomposition to explore the correlation between senior high school students’ daily schedule sequences (including sleep duration, study time, homework burden, electronic device use and extracurricular activities) and academic achievement. The study finds that both sleep duration and study time have a significant inverted U-shaped relationship with academic achievement, with the optimal interval of sleep duration being 7-9 hours and that of study time being 2-4 hours. Homework burden is negatively correlated with academic achievement, especially for rural students, excessive homework burden will significantly inhibit their academic performance. There is an obvious “substitution effect” in the use of electronic devices: excessive recreational use crowds out study time, while moderate educational use has a positive impact on academic achievement. The results of Shapley value decomposition show that sleep duration contributes the most to the explanation of academic achievement, followed by study time, and homework burden has the most significant negative impact. The findings provide an empirical basis for optimizing senior high school students’ schedules and improving their academic achievement.
Copyright (c) 2026 Zhenhao Gu http://creativecommons.org/licenses/by/4.0
Evaluation and Analysis of Development Strategies for Pet Industry and Related Industries Based on Fuzzy Comprehensive Evaluation and Gray Prediction Modeling
With the deepening of economic development, the pet economy presents a multi-dimensional growth trend, however, the pet industry also exists in development dilemma. Therefore, this paper studies its current situation and factors affecting the development of the pet industry, predict the development trend, formulate effective development strategies to promote the sustainable development of the pet industry, and is committed to the deepening of the process of economic globalization. For Problem 1, firstly, data on the current development status of China’s pet industry industry from 2019-2023 are collected and visualized to analyze its previous development. Secondly, the weights of the indicators of the development factors of China’s pet industry are measured using the expected value method, and the fuzzy comprehensive evaluation method is used to establish a comprehensive evaluation index system for it, and the fuzzy comprehensive evaluation scores are obtained for each year from 2019 to 2023. Finally, using the gray prediction model to predict the development trend of China’s pet industry in the next three years, it is found that the overall development of China’s pet industry will show a steady upward trend, but the penetration rate of pet households is decreasing year by year. For Problem 2, the effective data of global pet food demand from 2018-2023 are collected to explore the development of global pet industry through data visualization. Secondly, the entropy weight-TOPSIS method is utilized to obtain the relative proximity C value of global pet food demand for each year from 2018-2023. Constructing the gray prediction model and multiple linear regression model to predict the overall development of global pet food demand indicators-relative proximity C value and specific development data, we get that the overall pet food demand is on the rise, and the predicted results of the global pet food demand in 2024-2026 are US$ 152.32 billion, US$ 18.534 billion, and US$ 22.001 billion, respectively. For Problem 3, firstly, a ridge regression model is used to calculate China’s pet food production and export volume from 2019-2023. Secondly, using the gray forecasting model, without considering the economic policy, based on the global pet food market demand trend and China’s development, China’s pet food production is forecasted to be 290,161 million pieces, 598,962 million pieces and 12,364,402 million pieces, and demand is forecasted to be 1,509 million pieces, 1,877 million pieces and 2,335 million pieces, respectively, for the period of 2024-2026. For Problem 4, firstly, the fuzzy comprehensive evaluation method is utilized to solve the impact of the foreign economic policies of Europe and the United States on the pet food industry, and the impact scores of the foreign trade, foreign investment, monetary policy and tariff policy of Europe and the United States on China’s pet food industry are obtained to be 46.45, 51.22, 16.67 and 37.78 respectively, and to formulate the strategy of sustainable development of China’s pet food industry.
Copyright (c) 2026 Xinyi Zhang http://creativecommons.org/licenses/by/4.0
Optimal Design of a Small Multi-Purpose Fixed-Wing Flying Platform Based on Arduino Open-Source Hardware
To address the limitations of traditional small fixed-wing unmanned aerial vehicles (UAVs), such as their fixed configuration, high structural integration, and difficulty in rapid reconfiguration based on mission requirements, this paper designs and implements a small intelligent multi-purpose fixed-wing flying platform based on Arduino open-source hardware. Centered on a high degree of structural modularity, the platform utilizes 3D printing rapid manufacturing technology and standardized mechanical and electrical interfaces to divide the airframe into multiple functional modules, enabling free combination and rapid assembly of different configurations. In terms of structural design, key load-bearing components and module interfaces were optimized to reduce overall weight while ensuring structural strength and stiffness, supporting flexible configurations such as V-tail, T-tail, and various wingspans and payload types. Regarding system implementation, an Arduino Nano serves as the core control unit, integrated with inertial measurement, barometric altitude, data storage, and LoRa wireless communication modules, constructing an open, low-cost flight control and data acquisition system. Through aerodynamic simulation analysis, 3D printing manufacturing, and ground testing validation, the results demonstrate that the platform possesses good structural stability, assembly efficiency, and configuration scalability, providing a reference for teaching experiments and multi-purpose validation.
Copyright (c) 2026 Junrui Zhu, Zengxin Zhu http://creativecommons.org/licenses/by/4.0
Optimized Design of Instrument Test Platforms for Industrial Sites
Instrument test platforms for industrial sites are key means to improve product quality, shorten R&D cycles, and support reliability verification. This paper systematically elaborates on the overall architecture and functional modules of such platforms, proposes an optimized design strategy based on virtual instrumentation, parameter optimization, multi-physics simulation, and remote monitoring, and discusses the implementation paths of key technologies such as fault injection, power management, and digital twin integration. Through engineering cases of power equipment and automotive ADAS test platforms, the effectiveness of the platform in improving testing accuracy, efficiency, and safety is validated. Looking ahead, test platforms will continue to evolve toward intelligence, digitalization, and modularization, becoming essential support systems for industrial intelligent testing and collaborative verification. The research presented in this paper provides a theoretical basis and practical reference for the design and implementation of test platforms under complex operating conditions.
Copyright (c) 2026 Yaping Wu http://creativecommons.org/licenses/by/4.0
New Quality Productive Forces and the Development of New Flexible Employment Models Constraints and Pathways
Based on the developmental context of the era of New Quality Productive Forces, this paper systematically analyzes the connotations, theoretical mechanisms, and developmental constraints of new flexible employment models, proposing a multi-dimensional collaborative development pathway. The study indicates that new flexible employment models are characterized by technological embeddedness, platform-based collaboration, and diversified value exchange. Their development requires overcoming the structural contradictions between traditional labor institutions and skills supply. By constructing a safeguard system through institutional innovation and policy synergy, strengthening technology empowerment and the application of data elements, deepening the reform of the education system, promoting the synergistic development of the platform economy ecosystem and social value, and improving the social security and risk-sharing mechanisms, the current constraints can be effectively addressed. Driven by New Quality Productive Forces, flexible employment models are not only an inevitable choice for the labor market to adapt to technological change but also a crucial pathway to achieve the “free and comprehensive development of individuals” and high-quality economic development.
Copyright (c) 2026 Yaokai Zhang, ZePing Li, Simin Yang http://creativecommons.org/licenses/by/4.0
Supply Chain Network Centrality and Corporate Financial Risk: Evidence from Chinese Listed Firms
This study investigates the relationship between supply chain network centrality and corporate financial risk using Chinese A-share non-financial listed firms from 2011 to 2023. Firms’ supply chain networks are constructed based on major supplier and customer relationships, and network positions are measured using degree, closeness, and betweenness centrality. Empirical results show a significant inverted U-shaped relationship between network centrality and financial risk. As centrality increases, financial risk initially rises and then declines, with turning points differing across centrality measures. Robustness tests, including U-shape tests, alternative financial risk measures (O-score), and lagged explanatory variables, confirm the main findings. The results highlight the importance of considering supply chain network structure when analyzing firm financial risk, offering new evidence on the nonlinear impact of network positions on corporate stability.
Copyright (c) 2026 Chu Wang http://creativecommons.org/licenses/by/4.0
Research on Clay-based Low-Carbon Building Materials in Ningbo: R&D, Process Improvement and Whole-Chain Innovation Model
Based on Ningbo’s high-quality local clay resources, this research focuses on green inorganic new materials, low-carbon building materials, and the recycling of ancient building materials, constructing an innovative project that integrates material R&D, low-carbon production, green application, and rural industrial empowerment. Relying on traditional ancient brick-making craftsmanship, the research team improved the mud formula and optimized the low-carbon firing process, thereby enhancing the materials’ weather resistance and mechanical properties. Three product series were developed: low-carbon antique bricks, special bricks for ancient building restoration, and new green decorative materials. These products have been applied in the restoration of 86 cultural relics in Ningbo, including Tianyi Pavilion and Cicheng Ancient Building Complex, and have been expanded to green applications such as new Chinese-style buildings, low-carbon cultural tourism spaces, and photovoltaic supporting bases. The project constructs a closed loop integrating industry-university-research cooperation, green low-carbon practices, and rural revitalization. Through a linkage mechanism involving the government, enterprises, and villagers, it drives local employment and income growth, activating new momentum for rural revitalization. This paper systematically elaborates on the R&D and performance optimization of local clay-based low-carbon antique bricks, the low-carbon improvement path of ancient brick-making craftsmanship, and the whole-chain innovation model, providing a replicable industrial path for rural revitalization and ecological civilization construction.
Copyright (c) 2026 Xin Liu, Ziyi Zhu, Yaying Zhang http://creativecommons.org/licenses/by/4.0
Experimental Study on Mix Proportion of Fluid Solidified Soil of Shield Muck Foundation
In order to solve the problem of resource utilization of shield muck produced by underground engineering construction in Qingdao area, taking the shield muck of a project in Qingdao as the research object, using cement and lime as curing agents, a three-factor and four-level orthogonal test was designed to optimize the mix ratio of fluid solidified soil. The influence of cement content, lime content and water content on the unconfined compressive strength of 7 d and 28 d of fluid solidified soil was investigated by range analysis and variance analysis, and a multiple linear regression model of compressive strength and various influencing factors was established. The results show that the cement content is a very significant factor affecting the compressive strength of the solidified soil, the water content is a significant factor, and the lime content is an insignificant factor. The order of influence of each factor is cement content > water content > lime content. The optimal mix ratio of fluid solidified soil is 12% cement content, 4% lime content and 30% water content. Under this ratio, the unconfined compressive strength of 7d and 28d reaches 1.86 MPa and 3.22 MPa respectively, which meets the technical requirements of engineering backfilling in Qingdao area. The established multiple linear regression model has good fitting degree and high prediction accuracy. The relative error between the predicted value of 7d and 28d compressive strength and the actual test value is less than 5%, which can effectively predict the compressive strength of the shield muck solidified soil. The research results provide experimental basis and theoretical support for the engineering application of shield muck solidified soil in Qingdao area.
Copyright (c) 2026 Xiaotao Du, Li Liu, Qianqian Cheng, Muyuan Li, Boxiao Li, Linlin Ma http://creativecommons.org/licenses/by/4.0
Design of Multi-functional Elderly Walking Aid Device
With the accelerating aging process of the population in China, the daily mobility and living assistance needs of the elderly have become increasingly prominent. To enhance the autonomy and safety of mobility for the elderly, this paper conducts field visits to nursing homes, rehabilitation hospitals and communities, systematically investigates the current usage status and user pain points of existing mobility AIDS, and proposes an intelligent mobility aid device that integrates functions such as lift assistance, mobility assistance, automatic following, intelligent obstacle avoidance, health monitoring and one-click first aid. The device is structured based on ergonomic principles and integrates multi-sensor technology and intelligent control algorithms to meet the diverse and individualized assistive needs of the elderly, providing an effective solution to mobility assistance problems in an aging society.
Copyright (c) 2026 Yimei Liu http://creativecommons.org/licenses/by/4.0
The Effect of In-Platform Generative AI Use on Users’ Continuance Intention: Evidence from Xiaohongshu
With the rapid integration of generative artificial intelligence into social media platforms, lifestyle community platforms such as Xiaohongshu have become important channels for users to obtain information, refer to experiences, and support decision-making. However, whether in-platform AI functions can translate into users’ Continuance Intention remains a key issue in platform intelligence development. Based on expectation-confirmation theory and information systems post-adoption research, the study divides in-platform Generative AI Use into three dimensions: Use Intensity, Use Breadth, and Use Depth. It then constructs a relationship model among in-platform Generative AI Use, Personalized Experience, and users’ Continuance Intention, and tests the model using 500 valid survey responses. The results show that in-platform Generative AI Use significantly enhances users’ Continuance Intention, and that Use Intensity, Use Breadth, and Use Depth all exert significant positive effects. In-platform Generative AI Use also significantly improves users’ Personalized Experience, which mediates the relationship between in-platform Generative AI Use and users’ Continuance Intention. Theoretically, this study extends expectation-confirmation theory to the context of Generative AI embedded in social media platforms. Practically, it offers implications for lifestyle community platforms such as Xiaohongshu to optimize intelligent function design, improve personalized experience, and strengthen user retention.
Copyright (c) 2026 Linming Chen, Daoming Wang http://creativecommons.org/licenses/by/4.0
Intelligent Prediction and Parameter Optimization Analysis of Shield Construction Attitude Based on Random Forest Model
Aiming at the problem that the attitude deviation is affected by multi-parameter coupling and the prediction accuracy is insufficient in the process of shield construction, this paper uses the random forest algorithm to construct the attitude deviation prediction model based on the field measured construction data. By sorting and optimizing the importance of input parameters, eliminating redundant features and optimizing the model structure, the accurate prediction of attitude deviation is realized. The results show that the goodness of fit (R2) of the model after parameter optimization is 0.917, the error indexes are significantly reduced, and the predicted values are in good agreement with the real values. The total thrust, cutterhead torque and earth pressure are the key parameters affecting the attitude deviation. The research shows that the random forest model based on parameter optimization can effectively improve the accuracy of attitude prediction, which can provide technical reference for the intelligent control of shield construction alignment.
Copyright (c) 2026 Li Liu, Qianqian Cheng, Xiaotao Du, Airu Sun http://creativecommons.org/licenses/by/4.0
Climate Risk Exposure and Firm Risk-Taking: Evidence from Chinese Listed Firms
This paper uses data from more than 2,400 Chinese non-financial A-share listed companies from 2007 to 2022, to investigate the impact of firm-level climate risk exposure on corporate risk-taking. The main conclusions are as follows: (1)First,corporate climate risk exposure has a significant inhibitory effect on the level of risk-taking, and this conclusion remains valid under a series of robustness tests, including instrumental variable regression, propensity score matching regression, and placebo tests.(2)Second, the positive impact of climate risk exposure on risk-taking is more pronounced for heavily polluting enterprises, small enterprises, and state-owned enterprises. Moreover, when enterprises already have a relatively high level of risk-taking, the negative impact of climate risk exposure on them is further strengthened. (3)Finally, climate risk exerts a negative influence on corporate risk-taking mainly through the principal-agent channel and the resource-based channel. Because enterprise managers are concerned about their reputation and future career development, they tend to make short-sighted and cautious decisions, thereby intensifying the negative impact of climate risk exposure on risk-taking. In addition, climate risk exposure prompts enterprises to increase their investments in green environmental protection, which in turn crowds out traditional venture investments and reduces their risk-taking levels.
Copyright (c) 2026 Shengzhen Ding, Zhe Zhang http://creativecommons.org/licenses/by/4.0
Impact of Artificial Intelligence Service Robots on Customer Satisfaction and Brand Loyalty in High-End Hotels
This research investigates the impact of artificial intelligence (AI) service robots on customer satisfaction and brand loyalty in high-end hotels. By analyzing customer interactions and perceptions, the study identifies key factors influencing satisfaction and loyalty, while also exploring the operational benefits and challenges of AI integration. The findings provide actionable insights for hotel managers aiming to enhance customer experiences and foster long-term brand loyalty through AI-driven innovations.
Copyright (c) 2026 Yuting Xie http://creativecommons.org/licenses/by/4.0
Drivers of Economic Growth and Structural Change in China under the Carbon Peaking and Carbon Neutrality Goals
Through a literature review and theoretical analysis, this paper examines how the reconstruction of the production function during the low-carbon transition shapes the drivers of economic growth and structural change in China. It also explores the new theoretical perspectives required, and the challenges encountered, in pursuing the “dual carbon” goals of carbon peaking by 2030 and carbon neutrality by 2060. The study finds that the production function is being reconfigured through the reallocation of factor inputs, the introduction of directed technological progress, policy guidance, and adjustment of the industrial structure. By developing low-carbon industries—including clean energy, green manufacturing, and environmental services—and by accelerating the rise of emerging industries while upgrading traditional ones, China’s economic structure is undergoing a transition toward lower carbon intensity and higher technological content. Technological innovation, green finance, carbon emissions trading, and international cooperation are identified as the key pathways through which China can realize its carbon neutrality goal. The paper concludes with policy recommendations aimed at supporting the joint pursuit of growth and decarbonization.
Copyright (c) 2026 Jiang Hui http://creativecommons.org/licenses/by/4.0
Research on Optimization of Compensation Strategy for Online Retailers of Fresh Agricultural Products Considering Spoilage Rate
In the context of the rural revitalization strategy, online retail of fresh agricultural products has developed rapidly. However, the loss caused by the perishability of products and consumer dissatisfaction have become key pain points restricting the industry’s development. To balance consumer satisfaction and retailer profits, this paper aims to explore the differences in optimal pricing and profit decisions between online retailers adopting and not adopting compensation strategies in the face of product spoilage. The article constructs a mathematical model based on the spoilage rate, deriving the retailer’s expected profit functions under the “no compensation strategy” and “with compensation strategy” scenarios, respectively. It analyzes the impact of spoilage rate on pricing, compensation amount, and market demand through numerical simulation. The research findings are as follows: First, compensation strategies are not applicable in all scenarios, exhibiting a significant threshold effect of spoilage rate; Second, when the spoilage rate is below the threshold (approximately 0.69), compensation strategies can effectively increase sales and profits, but they will push up the selling price; Third, when the spoilage rate exceeds the threshold, compensation strategies instead lead to a decline in profits and shrinking sales.
Copyright (c) 2026 Kuangjie Chen http://creativecommons.org/licenses/by/4.0
A Study on Innovation in Corporate Business Management Models in the Context of Digital Transformation
For companies around the world today, digital transformation is a trend that has become increasingly apparent and will continue to transform the foundational principles of business management and how we define value at the enterprise level. The development of new and innovative enterprise business management models will serve as the primary means through which companies can adjust to the rapid pace of change brought on by digital transformations and develop sustainable competitive advantages. By focusing on four major areas of decision-making, organizational structure, value creation, and profitability and utilizing scientific methods of verification as a basis for promoting innovative processes, these new models provide practical and actionable ways for organizations to not only demonstrate the essence of management reform in the digital economy but also provide organizations with the tools necessary to achieve the highest quality of development over time in an ever-changing marketplace.
Copyright (c) 2026 Xueyan Su http://creativecommons.org/licenses/by/4.0
Task Decomposition for Cloud Manufacturing under Industrial Internet Using an Improved Genetic Algorithm
In the industrial internet environment, task decomposition and reconfiguration are key links connecting user demands with manufacturing resources in a cloud manufacturing platform. To address the issues of traditional methods relying on process logic while neglecting enterprise capability differences, a capability matching‑based multi‑dimensional task decomposition method is proposed. A multi‑dimensional task correlation model covering technological, capability, geographical, and cost correlations is constructed, followed by a multi‑objective reconfiguration optimization model targeting efficiency, cost, and quality. For efficient solution, an improved genetic algorithm is designed (integer encoding, order‑preserving crossover, heuristic mutation, and adaptive parameter adjustment). A case study on aero‑engine impeller manufacturing demonstrates that, while maintaining the optimal makespan, the optimized solution reduces cost by 5.69% and improves quality by 0.33%, verifying the effectiveness of the proposed method.
Copyright (c) 2026 Yan Wang http://creativecommons.org/licenses/by/4.0
Traffic Control Strategies for Virtual Emergency Lanes on Expressways
Expressway congestion and traffic accidents often hinder the passage of emergency vehicle, while traditional fixed emergency lanes suffer from issues such as low resource utilization and poor adaptability. To address mixed traffic flows comprising connected and automated vehicle, human-driven vehicle, and truck, this paper proposes a dynamic virtual emergency lane control strategy. This strategy creates continuous passage space for emergency vehicle through segmented dynamic allocation of right-of-way and stepwise lane-changing guidance. Based on cellular automata theory, a simulation model for mixed traffic flows is established by integrating the NS model, the IDM following model, and an improved STCA lane-changing rule.Using a 2,000-meter, four-lane expressway as the simulation scenario, the results indicate that, compared to a fixed emergency lane, this strategy can increase peak traffic volume by 30.2% and reduce the congestion rate by 10%–27% under moderate traffic density. It performs best in scenarios with four lanes and a low to moderate proportion of truck. This strategy effectively improves the efficiency of emergency vehicle and the utilization of road resources, making it suitable for emergency management scenarios on smart expressways.
Copyright (c) 2026 Yuting Shi http://creativecommons.org/licenses/by/4.0
Shear Behavior and Design Method of Precast Shear Walls with Unconnected Vertical Distributed Bars
Traditional precast shear walls rely on grout sleeves or lap splices, leading to complex construction, difficult quality inspection, and high cost. The precast shear wall with unconnected vertical distributed bars is an innovative system that discontinues web reinforcement connection, strengthens boundary elements, and transfers shear force through horizontal mortar joints. This system can significantly simplify construction and improve assembly efficiency. Based on existing tests, codes, and engineering applications, this paper systematically analyzes its shear mechanism, failure modes, key influencing factors, and calculation methods. Results show that with reasonable design, its shear performance is close to cast-in-place walls. Shear capacity is mainly governed by axial compression ratio, shear span ratio, and boundary stirrup ratio. Shear resistance is jointly provided by concrete, interface friction, and stirrups, while vertical distributed bars make no contribution. A simplified shear capacity formula is proposed, which agrees well with test data. This study provides a theoretical basis and design reference for engineering application and popularization of such walls.
Copyright (c) 2026 Qingchi Zhang, Xiaoxiao Sun, Huaken Zhang, Lijuan Chen, Qun Liu http://creativecommons.org/licenses/by/4.0
The “Small Window”of Government Affairs Plays a Great Role in Facilitating Enterprises and People-Based on the Reform of Doing One Thing Efficiently
From the perspective of public satisfaction, based on the structural characteristics of the customer satisfaction index model, combined with the actual situation in various places, this paper analyzes the current situation of the reform of colleges and universities, and draws the conclusion that perceived quality is the core element to improve public satisfaction; perceived value is the dominant factor to enhance public satisfaction; government image is the core link to enhance public satisfaction; public trust is an important factor to improve public satisfaction. According to the research conclusions, suggestions are put forward: to promote the construction of government service channels and the innovation of government service mode, strengthen the application of new technology empowerment mechanism, promote digital empowerment government service, comprehensively carry out ‘good evaluation’ evaluation, and improve the evaluation and evaluation mechanism of government service, so as to provide strong support and guarantee for optimizing the business environment and promote the transformation of government service from being able to do to being good.
Copyright (c) 2026 Huang Liang jing yi http://creativecommons.org/licenses/by/4.0
Research on Optimization of Large Span and Large Cantilever Steel Frame Structures
This paper takes the design optimization of a large cantilevered steel frame and a large-span steel frame structure at a school in Jinan as an engineering case, and conducts an in-depth comparison of the significant differences in structural systems, member cross-sections, and steel consumption before and after optimization. Due to the lack of steel structure design experience among the designers, concrete design thinking was improperly applied to the design of large cantilevered and large-span steel structures, resulting in seriously unreasonable structural layout. Although the reinforced concrete frame and steel frame structural systems have similarities in simplified member modeling and force transmission paths, there are significant differences in aspects including beam-slab interaction, joint connection methods, torsional resistance, and seismic performance. For large-span steel frame structures, taking the steel structure roof of a 20-meter-span school auditorium as an example, this study compares and analyzes two schemes: arranging secondary beams along the large-span direction and arranging secondary beams perpendicular to the large-span direction, and draws the conclusion that the scheme with secondary beams arranged perpendicular to the large-span direction can reduce steel consumption by more than 50%. For large cantilevered steel frame structures, taking the 3-meter cantilevered external corridor of the school as an example, through comparative analysis of two schemes: the joint cantilevering of primary and secondary beams and the cantilevering of only primary beams, it is found that the scheme with only primary beams cantilevering can save approximately 30% of steel consumption. The biggest problem of the original scheme lies in its failure to fully leverage the core advantage of low self-weight of steel structures. This case clearly demonstrates that in the design of large cantilevered and large-span steel structures, structural layout scheme is the key factor determining structural efficiency and economic performance. Adhering to the design concept of "light roof, high-performance members" is the fundamental approach to achieve an integrated structural solution that is safe, economical, and reasonable.
Copyright (c) 2026 Wang Ning, Zhan Jia, Zhao Ziyuan http://creativecommons.org/licenses/by/4.0