Forum on Research and Innovation Management
Forum on Research and Innovation Management (FRIM), published by Scineer Publishing PTE. LTD, is an open-access journal. FRIM is devoted to publish research and innovation management related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on research and innovation management throughout the world. FRIM welcomes all original manuscripts that do not be published in any other journals. ISSN: 3029-1933(P) 3029-1984(O)
Risks and Prevention of Generative Artificial Intelligence Empowering the Construction of Digital Government
As a major branch of artificial intelligence technology, generative artificial intelligence demonstrates prominent advantages over traditional artificial intelligence technologies, bringing new development opportunities for the construction of digital government. However, a series of risks arise at the technical, governance and application levels in the process of generative artificial intelligence empowering the construction of digital government. It is imperative to adopt governance measures from multiple dimensions including technological optimization, institutional construction and public participation to advance the in-depth integration of generative artificial intelligence with the construction of digital government.
Research on Performance Prediction and Intelligent Optimization Method of Polyamide-Based Composite Materials for Electronic Packaging Applications
Copyright (c) 2026 Yi Guo,Jing Wang,Lingling Li
Research on Wafer Reference Mark Recognition Method Based on Lightweight Improved YOLOv5
Aiming at the problems of grayscale shift and edge blur caused by process fluctuations in wafer reference marks during semiconductor manufacturing, traditional image recognition methods such as template matching and edge detection have poor robustness and can hardly meet the requirements of precision positioning. This paper proposes a lightweight method based on YOLOv5s and structured pruning, which achieves the balance between model compression and accuracy through simulated degraded data, transfer learning and structured pruning. Experimental results show that the proposed method effectively reduces the model parameters and computational cost while maintaining high-precision recognition performance, has significant advantages in degraded scenarios, and can be efficiently deployed on ordinary CPU devices.
Machine Learning-driven Channel State Information Prediction and Resource Optimization Strategy for Millimeter-wave Communication Channels
This paper focuses on the application of machine learning in channel state information prediction and resource optimization for millimeter-wave communication systems. By analyzing the characteristics of millimeter-wave communication and the limitations of traditional methods, we demonstrate the advantages of machine learning in this field. We provide a detailed exploration of machine learning-based channel state information prediction methods, including model construction, feature extraction, and optimization strategies. Additionally, we investigate resource optimization strategies encompassing spectrum allocation, power control, and beam management. Finally, through practical case studies, we evaluate the effectiveness of machine learning-driven approaches and outline future development trends, offering theoretical support and practical guidance for the advancement of millimeter-wave communication technologies.
Research on the Challenges and Strategic Responses to Digital Transformation in Enterprise Human Resource Management
Exploration of biomedical engineering teaching reform under OBE concept
With the deep penetration of artificial intelligence, big data and other technologies in the medical field, biomedical engineering (BME) industry puts forward dual requirements for talents' core competence: solid technical foundation, interdisciplinary collaboration, ethical judgment and other comprehensive qualities. At present, there are some problems in biomedical engineering education, such as the solidification of curriculum system, the disconnection between theory and practice, and the single evaluation method, which are difficult to meet the needs of industry development. Based on OBE (Results-Oriented Education) concept, with reverse design as the core, the framework of teaching reform is constructed from three dimensions: curriculum system reconstruction, teaching mode innovation and evaluation mechanism optimization. By integrating industry needs, strengthening interdisciplinary practice and integrating ethical education, the dual training goal of "technical ability+professional quality" is realized, which provides practical reference for the education reform of biomedical engineering specialty.
In the renewal process of historical blocks, problems such as cultural rupture, spatial homogenization, and insufficient participation of local residents are widespread. Guided by spatial narrative theory, this paper explores its application potential and methodological approaches in the renewal of historical blocks. Taking Gushi Old Street in Gushi Town, Songyang County, Zhejiang Province as an example, through field investigation, case analysis and narrative clue extraction, this paper proposes a four-in-one spatial narrative design strategy of "Theme-Framework-Translation-Participation", aiming to build a block space with both historical authenticity and contemporary vitality, and provide a reference for the organic renewal of similar historical blocks.
Against the backdrop of the rapid development of Generative Artificial Intelligence (GAI), college students have widely adopted GAI tools such as DeepSeek, deeply integrating them into their studies and daily lives. This has led to increasing dependence and a growing crisis of cognitive substitution. Based on grounded theory and semi-structured interviews with college students from various universities, this study constructs a formation mechanism model of the transition from tool use to deep reliance. It provides theoretical and practical guidance for balancing GAI's empowerment in education against the risks of cognitive substitution.
Copyright (c) 2026 Haiying Chen,Mengying Liu,You Yang*
Research on the Design of Computer Algorithms for Intelligent Decision-Making
Against the backdrop of the continuous expansion of intelligent applications, decision-making tasks have put forward higher requirements for the real-time performance, accuracy, and adaptive capacity of computer algorithms. Focusing on the key links in intelligent decision-making scenarios, such as data perception, feature modeling, model training, rule generation, and feedback optimization, this paper conducts research on the design of computer algorithms for intelligent decision-making, with emphasis on analyzing the structural composition, core implementation paths, and performance evaluation methods of the algorithm system. The research shows that the design idea combining hierarchical architecture, parameter optimization, and closed-loop feedback can enhance the adaptability of algorithms to complex data environments and improve the stability and effectiveness of decision-making output.
Building Organizational Resilience in International Joint Ventures under Dynamic Environments: Empirical Evidence from Chinese Power Enterprises in South Asia
Low-Carbon Renewal and Thermal Environment Optimization for High-Density Cities: A Case Study of Beijing
Exploration of Financial Response and Biodiversity Conservation Mechanisms Under Ecological Thresholds
Biodiversity loss and climate change stand as among the most pressing ecological and developmental challenges confronting the global community today. These critical risks have exerted profound impacts on the global economy and financial markets, compelling nations to prioritize biodiversity conservation as a key agenda item and policy objective. This study systematically examines the theoretical foundations of financial support for biodiversity conservation, mechanisms of financial risk transmission, asset pricing dynamics, and associated challenges. It further analyzes the effects of ecological threshold shifts on financial markets and proposes actionable recommendations. The findings aim to facilitate research and practical exploration in establishing diversified investment and financing systems, enhancing financial risk governance frameworks, and advancing green transformation in international financial markets.
Copyright (c) 2026 Shunyu Feng*,Wenle Wang,Zhongxin Liu
Research on the Evaluation of General Aviation Electronic Flight Bag Interfaces Based on the SEEV Model
To enable rapid evaluation of general aviation electronic flight bag (general aviation EFB) prototype interfaces, this paper proposes a task-value-oriented method based on the SEEV model. Using areas of interest (AOIs) as units, it quantifies salience, effort, expectancy, and value, then derives three matching degrees, an overall AOI matching degree, and an overall interface evaluation index. A case study covering six general aviation EFB functional categories and three layout schemes shows that the method supports scheme comparison and selection while identifying mismatch sources in key AOIs, thus providing support for prototype-stage layout optimization.
Research on the Optimization Design and Implementation Path of Campus Landscape based on the Concept of Sponge City
With the development of urbanization, campus landscape is facing problems such as poor rainwater discharge, insufficient ecological function and poor environmental experience. The concept of sponge city emphasizes the management of rainwater by means of infiltration, water storage and purification, which provides a new method for campus landscape optimization. Guided by the concept of sponge city and combined with the principles of campus landscape design, this study analyzes the current situation of the campus, finds out the main problems, and puts forward the optimized design scheme. The scheme includes the layout of rainwater management facilities, the adjustment of landscape space functions and the application of environmental protection materials. At the same time, the design implementation and daily maintenance strategies are formulated. The research results show that this method can improve the rainwater regulation ability of campus, improve the quality of ecological environment and landscape experience, and has strong operability and promotion value, which can provide reference for campus landscape planning.
Multi-Source Information Fusion for UAV State Estimation and Identification
With the rapid development of UAV technology, low-altitude, slow-speed, small unmanned aircraft have become a growing threat to public security. UAV monitoring and identification in complex environments present significant technical challenges. This paper investigates multi-source information fusion for UAV state estimation and identification. A distributed fusion framework is constructed. It integrates radar, electro-optical sensors, radio reconnaissance, acoustic sensing, and navigation deception modules. This study achieves reliable target UAV detection via spatiotemporal registration, feature extraction, and decision-level fusion. The proposed method has been deployed in the lowaltitude security system of a critical facility. Results show that it improves the system's capability to detect, identify, and counter target UAVs.
Copyright (c) 2026 Xiuhui Lu,Xin Ma,Kai Guo
Patience Capital Drives the Green Transformation of Supply Chain
Copyright (c) 2026 Chenyu Zhao,Lixia Wang
Research on the Mechanism of Cross-border E-commerce Promoting the Growth of International Trade under the Belt and Road Initiative
Copyright (c) 2026 Boqiang Zhang,Jiaqi Yuan
Research on the Path of Financial Resource Allocation Optimization to Promote Technological Innovation of New Energy Industry
Under the background of green and low-carbon transformation, the new energy industry has become an important force to promote high-quality economic development. However, its technological innovation process still faces practical constraints such as unbalanced allocation of financial resources, narrow financing channels, and dislocation of financial supply and innovation demand. Based on the research foundation of financial resource mismatch and technological innovation of new energy industry, this paper systematically combs the current situation of technological innovation and development of new energy industry, analyzes the mechanism of financial resource allocation affecting technological innovation, and reveals the problems of structural imbalance, regional differences and insufficient adaptation in current financial support. On this basis, the optimization path is proposed from three aspects: institutional environment, multi-level financial system and industrial financial coordination, in order to improve the efficiency of financial resource allocation, enhance the technological innovation ability of new energy industry, and provide reference for promoting the high-quality development of new energy industry.
Research on Intelligent Detection and Diagnosis of Civil Engineering Quality Driven by Artificial Intelligence
The quality of civil engineering is related to the safety, durability and service efficiency of buildings. And the traditional detection and diagnostic mode is dependent upon manpower; there are many significant issues like lack of efficiency, heavy subjective element, poor ability in identifying concealed faults, hard-to-quantify traceability of data etc., thus it's hard to fulfill the need for modern large-scale civil engineering in terms of quality control. The paper focuses mainly on the deep integration of AI tech and civil engineering quality detection, which will improve detection accuracy, diagnose better and make the process more intelligent. And we fully explore its main application roads, technical difficulties and new breakthroughs in the field of AI with respect to civil engineering quality detection and diagnostic. Carry out theoretical analysis through the study and verification of the applicability based on actual application of important technical core theories such as computer vision technology, deep learning technology, multi-mode data fusion etc., put forward improvement measures and give direction to develop in the future, provide a theoretical reference for converting the conversion from manual civil engineering quality inspection to intelligent, also helps promote the transition in civil engineering quality supervision and inspection model from original mode converted to intelligence early warning precise and efficient smart Early Warning Mode.
Research on the Coordinated Development of University Psychological Clubs from the Perspective of Regional Integration
With the continuous advancement of regional higher education integration, the cross-university sharing and coordinated development of mental health resources in colleges and universities have become an important path to enhance service quality. Psychological clubs, as an important carrier of the mental health education system in colleges and universities, their coordinated development can effectively break through the barriers of single-campus resources, expand the service coverage, and enhance the influence of activities. This paper takes regional integration as the research perspective, systematically reviews the theoretical basis of the coordinated development of psychological clubs in colleges and universities, analyzes the current development status and coordination dilemmas, and constructs the coordination mechanism and practical path, providing theoretical references and practical guidance for the optimization of the regional higher education mental health education service system.
GIS-Based Fire Risk Assessment and Emergency Response Optimization
With the acceleration of urbanization and the increasing complexity of the human living environment, fire disasters, as a common sudden public safety incident, have brought serious threats to people's lives and property safety and social stability. Geographic Information System (GIS), as a powerful spatial information processing tool, has been widely applied in the field of fire management due to its advantages in spatial data integration, analysis and visualization. This paper focuses on the research status of GIS-based fire risk assessment and emergency response optimization, systematically sorts out the application ideas, technical paths and research hotspots of GIS in these two fields, analyzes the existing problems in the current research, and looks forward to the future development trend, so as to provide a reference for the in-depth research and practical application of related fields.
Research on the Application of Intelligent Technologies in Safety Management of Phosphate Mines
How to Think About Artificial Intelligence "Machinistically"?
A Comparative Study on the Dual Modes of 1210 Bonded Import and 9610 Direct Mail Import for Cross-Border E-Commerce in Shanghai Free Trade Zone
With the continuous expansion of China's cross-border e-commerce retail import and export scale, 1210 bonded stock import and 9610 direct mail retail import have become the mainstream customs supervision modes. Taking Shanghai Free Trade Zone as the research area, this paper systematically analyzes the core characteristics, complementary mechanism and synergistic foundation of the two models, sorts out the development status and challenges, and puts forward countermeasures and suggestions from the enterprise and government levels.
Copyright (c) 2026 Dan Lin,Weijia Hu,Dan Wang*
Practice Exploration of Full Process Management of Hazardous Chemicals in Biochemistry Laboratory
Theoretical Research on the Living Inheritance and Industrial Development of Intangible Cultural Heritage Sports along the Grand Canal
The Grand Canal corridor has accumulated a rich variety of intangible cultural heritage (ICH) in sports, yet with the acceleration of modernization, these items broadly face challenges such as inheritance discontinuity and shrinking survival space. Taking Grand Canal sports ICH as the research object, this paper draws on cultural ecology, industrial economics, and ICH protection theory to examine its historical context and cultural characteristics, explore the theoretical framework and practical mechanisms of living inheritance, analyze the internal logic and realistic obstacles of industrial development, and propose recommendations for coordinated advancement of both. The study argues that living inheritance is a dynamic cultural practice embedded in social life, while industrialization serves as an effective means of providing sustainable economic support for inheritance within reasonable boundaries. The two are not opposed; the key lies in establishing effective coordination mechanisms to achieve bidirectional conversion between cultural and economic value.
Core Modules and Offline Processing Mechanism of a Wholesale Merchant Assistant APP Based on Microservices Architecture
With the development of the digital economy, the wholesale industry is accelerating its transformation. However, traditional models suffer from low efficiency, complex pricing, difficult credit management, and lagging inventory control. Based on a microservices architecture, this paper designs the core modules and offline processing mechanisms of a wholesale merchant assistant APP, focusing on an order and pricing engine, credit sales management, and inventory management. The proposed solution enables full-process transaction control, manageable risks, precise inventory management, and continuous offline business operations. This scheme improves operational efficiency, reduces risks, and provides technical support and practical reference for the digital transformation of the wholesale industry.
Advances in the Application of Intelligent Responsive Polymer Materials in Environmental Monitoring
Intelligent responsive polymer materials (IRPMs), also known as smart polymers, are functional materials that exhibit reversible or irreversible physical/chemical changes in response to external stimuli such as temperature, pH, light, ions, and biomolecules. Due to their unique responsiveness, biocompatibility, and ease of modification, IRPMs have garnered significant attention in environmental monitoring. This paper systematically reviews the classification and response mechanisms of IRPMs, with a focus on recent advances in their application for detecting heavy metal ions, organic pollutants, microplastics, and environmental parameters (e.g., temperature, pH, and humidity). It also discusses the current technical challenges and future development trends, aiming to provide a reference for further research and practical application of IRPMs in environmental monitoring.
Research on the Current Operation Status and Improvement Measures of the Public Interest Litigation System
After more than ten years of development, the public interest litigation system has become an important legal force for protecting national interests and social public interests. The scope of the case has expanded from the initial four areas to more than ten statutory areas, and the quality and efficiency of case handling have steadily improved, forming a preliminary pattern of collaborative governance. However, issues such as imbalanced litigation structure, ineffective cross regional jurisdiction mechanism, insufficient investigation and evidence collection power, disorderly expansion of new fields, and fragmented legislative system constrain the development of the system. We should promote the high-quality development of the public interest litigation system by establishing the principle of priority in administrative public interest litigation, improving cross regional jurisdiction mechanisms, strengthening the rigidity of investigation and evidence collection, standardizing standards for expanding new fields, and promoting specialized legislation.
Digital Tax Competition: International Power Competition and Global Governance Dilemma in the Digital Economy Era
The globalization of the digital economy has pushed international tax rules into a phase of profound restructuring. The rapid rise of unilateral digital services taxes (DSTs) has transformed from a fiscal issue into a core arena for major-power strategic competition and global governance contestation. The emergence of unilateral DSTs is fundamentally driven by power asymmetry in the digital economy, the obsolescence of traditional international tax rules, and insufficient supply of multilateral governance mechanisms. The institutional confrontation, trade retaliation and rule-making rivalry between the United States and Europe over digital taxation vividly reflect the conflicting interests between market jurisdictions and capital-exporting states, as well as institutional competition between hegemonic powers and regional blocs in the digital age. Unilateral taxation measures have intensified the fragmentation of international tax rules, eroded multilateral coordination frameworks, exacerbated conflicts of tax jurisdiction and economic frictions, and plunged global digital governance into serious disorder. Only by returning to the multilateral framework and restructuring the allocation rules of digital taxation rights can major-power tensions be mitigated, the international economic order be stabilized, and institutional support be provided for the sustainable development of the global digital economy.
The Tax Reduction Effect of Enterprise Digital Transformation: Internal Mechanisms, Practical Challenges, and Optimization Pathways
This paper analyzes the internal mechanisms through which enterprise digital transformation generates tax reduction effects, identifies the practical shortcomings encountered in the process of enabling tax reduction, and proposes targeted optimization strategies by integrating tax policies with enterprise realities. The aim is to provide theoretical references and practical insights for promoting scientifically-based burden reduction for enterprises, improving the tax incentive policy system, and fostering high-quality, synergistic development between tax authorities and enterprises.
Landscape Remediation of a Historic Village Under Heritage Conservation Constraints: A Case Study of Jingping Ancient Village, Hunan Province, China
Key Technology Bottleneck and Breakthrough Direction of Mining Intelligent Construction
Mining intelligence is an important strategy to ensure the safety of national energy resources and promote the high-quality development of the industry. This paper systematically analyzes the key technical bottlenecks in the intelligent construction of mining industry in China, and points out the bottlenecks such as the lack of transparency of geological support system, the poor adaptability of intelligent equipment to complex environment, and the shallow application of artificial intelligence. On this basis, it puts forward the technical breakthrough direction of intelligent construction of mining industry. Through the development of transparent geological technology of multi-source data fusion, the construction of Intelligent Collaborative Control System of equipment cluster, the deepening of AI application of "small model+large model" fusion, and the improvement of standard system and talent training mechanism, it helps to make a breakthrough in intelligent construction of mining industry in China and ensure energy security in China.
Application of Material Forming and Control Engineering in Aluminum Alloy Die Casting of Mechanical Manufacturing
As the mechanical manufacturing industry transitions toward lightweight and high-performance applications, aluminum alloy die casting has emerged as a pivotal forming technology due to its lightweight material properties and high molding efficiency. To enhance product quality and production stability while driving technological advancement, this study integrates material forming and control engineering principles to explore practical applications in raw material selection, mold design, forming control, and quality inspection for aluminum alloy die casting. Supported by case studies of integrated die casting for new energy vehicle chassis, the research demonstrates that advanced material forming and control engineering techniques can effectively optimize casting processes, reduce defect generation, and improve product yield rates, thereby providing technical support for the high-quality development of aluminum alloy die casting in mechanical manufacturing.
A Study on the Application of Management Accounting in Cost Control of Small and Medium-Sized Enterprises Evidence from the Manufacturing Industry in Meishan
Small and medium-sized enterprises (SMEs) are key actors in regional manufacturing, yet many still face major cost-control challenges due to limited management resources, weak budgeting, and poor coordination between operations and accounting. Against this background, management accounting has become an important tool for improving internal management and cost control. Focusing on manufacturing SMEs in Meishan, this paper combines qualitative and quantitative analysis. It examines the functions of management accounting in budgeting, cost allocation, performance evaluation, and decision-making, using publicly available official data from Meishan. The findings show that although local manufacturing has developed steadily, many SMEs still suffer from rough cost accounting and weak budget execution. Management accounting can improve cost control by strengthening budgeting, refining responsibility control, and enhancing financialbusiness integration.
Copyright (c) 2026 Linhua Chen,Tingting Dong,Yaru Wang
Innovative Paths for Library Service Models in the Context of Digital Transformation
The wave of digitalization has profoundly reshaped the knowledge supply and dissemination landscape of society, posing disruptive challenges to traditional library service models. Focusing on the context of digital transformation, this paper analyzes the dual driving forces of digital technology iteration and user demand evolution on library services. Building upon this, it breaks down traditional business boundaries and systematically constructs an innovative framework for a new service model from three dimensions: the holographic digital evolution of resource forms, intelligent applications enabled by big data and AI, and ubiquitous scenarios integrating online and offline elements. To facilitate the implementation of this model, the paper further proposes an implementation path centered on data-driven and cross-sector collaboration, and emphasizes the underlying supporting role of institutional reconstruction and the development of a composite talent team. The aim is to provide a pragmatic theoretical reference for the high-quality transformation and service efficiency enhancement of modern libraries.
Construction of Traditional Chinese Medicine Image in Russian Mainstream Media Discourse: An Empirical Study Based on Appraisal Theory and Corpus Analysis
Grounded in appraisal theory, the study adopts a mixed method approach analyzing data collected from Traditional Chinese Medicine (TCM)-related reports from TASS, Kommersant and RIA Novosti (2021-2024) in Russia as the research corpus. The study systematically examines the types and distribution of attitudinal resources in the corpus, identifies the core characteristics of TCM image constructed by Russian media, and reveals the societal attitude reflected in the media discourse. Findings indicate that Russian mainstream media adopt a predominantly positive attitude toward TCM. The constructed TCM image is characterized by three core attributes: a clinically reliable complementary therapeutic approach, a key practical carrier of China-Russia Silk Road of Health Cooperation, and a traditional medical system with great development potential and practical bottlenecks.
Optimization of Stamping Process in Material Forming and Control Engineering
Stamping process optimization is pivotal to enhancing material forming quality. This study investigates stamping techniques in material forming and control engineering, conducting an in-depth analysis of current technological status and key technologies such as precision mold regulation. The research proposes an optimization pathway encompassing superior base material selection, mold refinement, precise parameter control, and intelligent monitoring. The objective is to overcome traditional process limitations, improve the accuracy and production stability of stamped components, and provide technical support for industry-wide quality enhancement and efficiency improvement.
Normative Guidance and Governance Strategies for English Internet Expressions on Social Media
Against the backdrop of the rapid development of social media, English internet expressions, as a significant linguistic phenomenon in digital contexts, exhibit diversified and dynamic trends of development. While enhancing communicative efficiency and enriching modes of expression, they also give rise to issues such as the weakening of linguistic norms shifts in cultural identity and cognitive impacts on adolescents. Grounded in the context of social media, this study systematically examines the typological features dissemination pathways and usage scenarios of English internet expressions, and analyzes the principal problems associated with their use. On this basis, it proposes approaches to normative guidance from the perspectives of the unity of linguistic standardization and innovation the strengthening of cultural orientation and value guidance and the construction of a multi stakeholder collaborative governance framework, and further explores specific strategies in terms of legal regulation platform management educational guidance and technological governance. The study aims to provide theoretical references for optimizing the online linguistic ecosystem and enhancing language governance capacity.
Differentiated Paths of Freshippo Store Layout in Eastern, Central, and Western Cities
Against the backdrop of the in-depth penetration of the new retail format, regional development imbalances have placed demands on retail enterprises for precise adaptation in store layout. Taking Freshippo as the research object, this paper analyzes the core influencing factors of store layout in eastern, central, and western cities from a professional and technical perspective, including the stratification of consumption capacity, the density of supply chain infrastructure, differences in policy regulations, and the penetration rate of digitalization. The study finds that its differentiated manifestations focus on four dimensions: format selection, SKU structure, fulfillment mode, and scenariobased operations. Based on this, optimized paths are proposed, including regional restructuring of the supply chain, dynamic adaptation of format combinations, sinking of digital capabilities, and deepening of localized operations. The research conclusions provide practical references for new retail enterprises to break through regional development bottlenecks and achieve sustainable cross-regional expansion, while enriching the theoretical and practical dimensions of differentiated regional retail layout.
Analysis of the Effectiveness of Ecological Restoration Technologies in River and Lake Basins for Water Pollution Control
Water pollution in river and lake basins is a pressing issue facing the current ecological environment, posing a serious threat to regional water security and biodiversity. As a key means of addressing water pollution, ecological restoration technologies play an irreplaceable role in improving aquatic environments and restoring ecological functions. However, in practical application, various restoration technologies still suffer from issues such as a lack of diversity in their configuration and insufficient synergy, which limits the effectiveness of remediation efforts. Starting from the significance of water pollution control, this paper systematically analyses the characteristics and current status of four core technologies: phytoremediation, microbial remediation, physical-ecological remediation, and constructed wetland remediation. It proposes application strategies covering the rational configuration of plant communities, precise regulation of microbial communities, integration of physical engineering measures, and optimisation of constructed wetland structures, with the aim of providing guidance for water pollution control in river and lake basins.