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 FRIM welcomes all original manuscripts that do not be published in any other journals.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)
New Way of Enterprise Human Resource Management in Digital Economy Era
In today's technology-driven society, technological transformation is reshaping business ecosystems and personal lifestyles at an unprecedented pace. This wave of change has fundamentally transformed corporate strategies and market dynamics. For business leaders, proactively adapting to the digital revolution not only strengthens market position but also unlocks organizational innovation potential and commercial value. As a crucial component of core competitiveness, the digital upgrade in human resource management has become a pivotal breakthrough for modern enterprise strategic transformation. By scientifically planning HR digitalization initiatives, companies can achieve precise talent alignment, significantly enhance management efficiency, and build sustainable competitive advantages.
Multi-dimensional Exploration and Practice of Teaching Reform in Higher Vocational Colleges from the Perspective of School- Enterprise Cooperation and Integration of Industry and Education
Against the backdrop of industrial digital transformation and the deepening of vocational education reform, the contradiction between traditional teaching in higher vocational colleges and industrial demand has become increasingly prominent. Through literature research, case analysis, and empirical investigation, this study constructs a three-dimensional reform framework of "curriculum reconstruction - model innovation - guarantee system". The research finds that traditional teaching has such drawbacks as outdated textbooks, fragmented courses, and superficial practice. It is necessary to reconstruct courses based on the post competency framework and realize the integration of "teaching, learning, and doing" through project-based teaching, dual-teacher teams, and other approaches. Practices in institutions such as Dongguan Technician College show that measures such as the operation of industrial colleges and the development of loose-leaf textbooks can make the employment rate of graduates in matching positions exceed 85%. The study proposes that it is necessary to build a schoolenterprise collaborative governance system, resource sharing mechanism, and competency-based evaluation system to provide a paradigm for the cultivation of technical and skilled talents.
Analysis on the Current Situation and Countermeasures of Rural Development in China
With the in-depth advancement of the rural revitalization strategy, rural development has become a key link in China's comprehensive construction of a modern socialist country. This paper adopts the literature research method and case analysis method to focus on the current situation, problems, causes and countermeasures of rural development in China. The study finds that at present, China's rural areas have achieved remarkable achievements in agricultural production capacity, infrastructure construction and farmers' living standards, but still face prominent problems such as a large gap between urban and rural development, low level of agricultural industrialization, loss of rural talents and shortcomings in rural social governance. From the perspective of causes, the urban-rural dual structure at the historical level, the low comparative benefit of agriculture at the economic level, the inadequate implementation of policies and the unbalanced talent flow at the social level have jointly restricted rural development. Based on this, this paper puts forward approaches such as breaking the urban-rural dual structure to promote integrated development, accelerating the process of agricultural modernization, strengthening the construction of rural talent teams, innovating social governance models and improving the rural policy system, aiming to provide practical references for promoting the sustainable development of China's rural areas and narrowing the urban-rural gap.
Copyright (c) 2025 Yongchen Gao,Airu Zhang*
Digital Biomedical Industry Chain and Supply Chain in Hainan Free Trade Port
The global biopharmaceutical industry has entered a new phase of digital empowerment, where R&D efficiency enhancement and supply chain resilience are critically dependent on the integration of digital technologies. As a strategic emerging industry, the digital transformation of Hainan Free Trade Port's biomedical industrial chain plays a pivotal role in boosting international competitiveness. This study focuses on infrastructure development and collaborative mechanisms during the digitalization process of the biopharmaceutical sector, systematically analyzing application scenarios and practical bottlenecks in digital transformation across various industrial chain segments.
Research on the Path of Legal Perfection of Equalization of Urban and Rural Public Services
Equalization of urban and rural public services is an important measure to promote social fairness and justice and narrow the gap between urban and rural areas. It is also an institutional guarantee for comprehensively promoting rural revitalization and achieving common prosperity. In recent years, China has continuously increased the supply of systems in the fields of education, medical care, and social security, but there are still problems such as lack of norms, fragmentation of systems, and poor implementation at the level of legal systems. From the perspective of the rule of law, this paper discusses the practical difficulties of the equalization of urban and rural public services, analyzes the shortcomings of system supply, implementation supervision and rights protection, and puts forward the path of perfecting the legal system, strengthening the system connection, perfecting the supervision mechanism and improving the ability of the rule of law at the grass-roots level, in order to provide institutionalized and legalized guarantee for the realization of the equalization of urban and rural public services.
Legal Issues on Cybersecurity for Small and Medium-sized Enterprises
With the development of informatization and digitalization, small and medium-sized enterprises have occupied an important position in the Australian economy. However, the threats to cyber security are increasing day by day, leading to prominent legal compliance risks. Based on the Australian legal system, this article sorts out the legal framework and policy orientation for small and medium-sized enterprises in terms of cybersecurity, with a focus on analyzing the applicability and impact of regulations such as the Privacy Act, the Data Breach Notification System, the Critical Infrastructure Security Act, and the Cybersecurity Strategy on small and medium-sized enterprises. Research shows that legal compliance is not only the foundation for enterprises to deal with cyber threats, but also an important guarantee for enhancing market competitiveness and sustainable development.
Based on AHP and Machine Learning Study on the Value-added Evaluation of College Students' Comprehensive Quality
In order to scientifically evaluate the effectiveness of college students' comprehensive quality improvement and overcome the limitations of traditional evaluation, this study focuses on the value-added evaluation of college students' comprehensive quality. Based on the concept of developmental evaluation, an evaluation index system including five dimensions of morality, intelligence, physique, aesthetic and labor is constructed. Analytic Hierarchy Process (AHP) is used to determine the weights of each dimension and specific indicators, and then machine learning algorithms are used to construct a prediction and value-added evaluation model of college students' quality development, and to mine students' behavioral trajectories and ability increments. Through the integration of AHP and machine learning algorithms, this study aims to establish a more objective and personalized evaluation model of comprehensive quality value-added, which provides empirical support and decision-making basis for college precision education and students' all-round development.
Copyright (c) 2025 Xinnan Li*,Cuiping Zhang
Stability Analysis of Surrounding Rock in Rock and Underground Engineering Construction
With the advancement of urbanization, the development and utilization of underground projects have become increasingly widespread. In geotechnical and underground engineering construction, retaining wall stability is crucial for both construction safety and project quality. This paper begins by analyzing factors affecting retaining wall stability, then explores strategies for controlling such stability during geotechnical and underground engineering operations. Through examining influencing elements including geological conditions, construction disturbances, and support measures, combined with practical engineering case studies, the paper proposes enhanced geological investigation, optimized excavation methods, timely support systems, and monitoring and early warning mechanisms as key measures for retaining wall stability control. The research demonstrates that comprehensively understanding critical factors affecting retaining wall stability and implementing targeted control strategies are of great significance in ensuring construction safety and improving project quality in geotechnical and underground engineering projects.
The Presentation and Evolution of China's National Image in Overseas Textbooks: A Review Based on Relevant Literature
This paper reviews relevant literature on the presentation and evolution of China's national image in overseas textbooks, analyzing its characteristics, evolutionary logic, and underlying motivations across different countries. This study finds that overseas textbooks' portrayal of China, shaped by historical narratives, national interests, and ideology, is multifaceted and complex, combining affirmation of China's historical status and contemporary rise with prevalent prejudices. Future research should focus on textbooks of Belt and Road countries, Sinoforeign narrative comparisons on historical events, and the influence mechanism on adolescents' cognition to promote a more objective international understanding of China.
Copyright (c) 2025 Mingwei Li,Jianan Yin*
Common Problems and Countermeasures in Geotechnical and Underground Engineering Construction
In the field of geotechnical and underground engineering, numerous technical challenges are encountered, including over-excavation, under-excavation, collapse, seepage, water leakage, settlement, and deformation. To address these construction issues, this paper proposes a series of effective solutions, focusing on enhancing survey and design, optimizing support schemes, improving drilling quality, preventing collapse, strengthening water control and seepage prevention, effectively managing drainage, controlling deformation and settlement, and enhancing process monitoring. By implementing comprehensive management measures and reinforcing dynamic design and information-based construction, the aim is to fundamentally improve the construction quality and safety of geotechnical projects, thereby promoting the efficient development and utilization of underground space resources.
A Brief Study on the Narrative Features of the New Version of In the Mood for Love
Wong Kar-wai is one of the most talented and stylistically distinctive directors in contemporary cinema, whose works have exerted a profound influence on the creations of many emerging directors. His masterpiece In the Mood for Love was re-released in 2025, 25 years after its initial premiere. The director incorporated new scenes and shots into the re-released version, endowing the work with a fresh outlook. This paper briefly analyzes the narrative features of the 2025 release of In the Mood for Love from three perspectives: the presentation of human nature in details, the upholding of secrets in mundane life, and the supplementation of hidden plotlines. As a masterpiece centered on secrets, the film allows audiences to witness the unfolding of secrets and the enduring nature of human beings through the poetic imagery crafted by Director Wong Kar-wai.
Integrated Design and Application of Electronic Information System in Communication Engineering
As the cornerstone of modern communication engineering, electronic information systems are fundamentally shaped by their integrated design capabilities, which directly determine system performance, reliability, and cost efficiency. This study provides a comprehensive analysis of the multifaceted requirements for electronic information systems in communication engineering, with a focus on four critical integration technologies: high-speed interconnects, RF and mixed-signal integration, system-in-package (SIP) solutions, and software-hardware co-design methodologies. The paper further details practical applications of these systems across wireless, fiber-optic, and satellite communication domains. Through in-depth exploration and discussion, this research enhances understanding of integrated design strategies for electronic information systems in communication engineering while offering actionable insights for advancing related technological fields.
The Mediating Effect of Sleep among Preschool Children on the Relationship between Emotional and Behavioral Problems and Child-Care Environments
This study examines the mediating role of sleep habits in the relationship between emotional and behavioral problems (EBPs) and child-care environments among preschool children. A random cluster sampling method was used to select 1, 083 valid participants aged 3 to 6 years from five kindergartens in Leshan City, Sichuan Province, China. The analysis revealed that "Human stimulation" and "Social stimulation" fully mediated the impact of child-care environments on SDQ scores through sleep habits (ab: -0.005, p < 0.001; ab: -0.004, p < 0.001). Furthermore, "Avoidance of restriction" not only significantly enhanced prosocial behavior (c: -0.041, p < 0.001) but also showed a partial mediating effect (ab: -0.008, p < 0.001). These findings highlight the critical role of a positive childcare environment in addressing both childcare environments and sleep habits to mitigate the risk of EBPs.
Copyright (c) 2025 Fangfang Miao,Chunyan Jin*
Carbon-Neutral Tech Revolution: Mapping China's Disruptive Innovation Potential
Since the publication of the Paris Agreement, countries have successively made commitments to carbon emissions reduction, and carbon neutrality has become an integral part of the global community with a shared future. As a positive response to international carbon commitments, China's dual carbon policy pledges to achieve carbon peaking by 2030 and carbon neutrality by 2060. The energy sector accounts for over 80% of China's carbon emissions (with the power sector contributing over 40%), making the early realization of energy carbon neutrality a long-term and arduous goal of China's modern energy revolution. There are two key measures to transform China's energy structure: 1. Renewable energy and energy storage; 2. Fossil fuels and Carbon Capture, Utilization and Storage (CCUS) technology. This paper evaluates and identifies the top five most promising disruptive technologies from the two scenarios: variable renewable energy (VRE) integration, natural gas hydrate (NGH) extraction, efficient hydrogen storage and all-solid-state lithium battery, controllable nuclear fusion, and carbon capture technology. The aim is to review and assess China's current level of energy carbon neutrality technologies and to forecast the future development path of China's disruptive energy technologies.
The curvature of a Euclidean submanifold is perhaps one of the most basic questions in Riemannian Geometry, although it is somehow not generally discussed in a lot of textbooks. So we give a survey of and an answer to this basic question in this article. More importantly we provide a new method of answering this question, which, compared to the old method, is simpler computationally and clearer theoretically.
The Impact of Social Media on Ethnic Identity: Cantonese as an Example
Language is one of the important factors in shaping ethnic identity. However, with the rapid development of social media represented by TikTok, dialects are gradually decreasing in the media. Taking Cantonese as an example, this paper analyses the impact of the development of social media on the Cantonese language environment, to explore the relationship between social media and Cantonese ethnic identity. This paper conducts in-depth interviews with 15 Cantonese speakers of different age groups in Guangdong, and through analyzing the interview data, it is found that the popularity of social media has a two-fold impact on the development of the Cantonese language, the status of the Cantonese language has gradually declined in the Guangdong region, but it still has a certain degree of vitality, in general, social media has a certain influence in the Cantonese community, the factors include the construction of cyberspace, the cohesion of scarcity, and the narration of collective memory. This study combines social media, Cantonese, and ethnic identity to explore the relationship between the three, which is of great significance to the preservation and transmission of Cantonese and local languages.
The Application Demand and Development Prospects of Aluminum Materials in China's Automobile Industry
As the penetration rate of automobile electrification continues to rise, the acquisition stage of high energy-consuming and highemission raw materials in the full life cycle carbon emissions of vehicles has become a key focus for future carbon reduction efforts. Recycled aluminum, with its lightweight, easy-to-recycle, energy-saving, and carbon-reducing properties, has become a key material supporting the lightweight, green, and low-carbon development of automobiles. Therefore, this article focuses on the automotive recycled aluminum industry chain, systematically collecting data on the entire chain, including information, material, and value flow. It analyzes the agglomeration trend and macro development opportunities of the industry chain; builds a full lifecycle assessment model for automobiles to predict the evolution trend of China's automobile ownership and scrap volume. It also evaluates the potential for recycling waste resources by combining the composition of scrap automobile resources. Based on the assumption of "vehicle-to-vehicle recycled aluminum cycle, " it deduces the current supply and demand status and future direction of automotive recycled aluminum, and finally proposes targeted industrial development strategies and suggestions.
Copyright (c) 2025 Pan Wang,Zhiwei Jiao*,Xiaolei Shi,Hu Song,Yihang Sun,Xiao Ding,Zheng Qi,Jiayi Ji
Stabilization Mechanism of Low Temperature Aerobic Granular Sludge Formation and Herd Sensing Effect
The formation of aerobic granular sludge under low-temperature conditions faces the challenges of slowed microbial growth rate and reduced metabolic activity. Based on this, the present study, by deeply exploring the mechanism of group sensing effect in the process of sludge granulation, found that signaling molecules such as N-acyl homoserine lactones (AHLs) could significantly promote the information exchange among microorganisms, and then regulate their physiological behaviors and metabolic pathways. By monitoring the changes of extracellular polymers (EPS), the evolution of microbial population structure, as well as the sludge settling performance and removal efficiency during sludge granulation, the key role of group sensing effect in the stabilization mechanism of low-temperature aerobic granular sludge formation was revealed.
Copyright (c) 2025 Xuanduo Ning,Ziyang Dong,Jiasuo Zhao,Yutong Zou,Zhijian Li
A Study on the Characteristics of Data Assets and Their Challenges to Traditional Accounting Recognition and Measurement Models
Causing and Prevention of Collapse in Rock and Soil and Underground Engineering Construction
As a critical component of geotechnical and underground engineering, tunnel projects are prone to collapse accidents during construction, which can result in significant casualties and economic losses. This article focuses on a specific tunnel project, analyzing the causes of these accidents, including design flaws in the support structures, improper construction techniques, and complex geological conditions. It proposes measures to prevent and mitigate these risks, such as optimizing support schemes, standardizing construction procedures, conducting thorough geological surveys, and monitoring the construction process. The aim is to provide a reference for similar projects, aiming to minimize the risk of collapse and ensure the smooth progress of tunnel construction.
A Study on the Third Way and China's Moderately Universal Welfare System
As a mainstream welfare ideology in the contemporary world, the Third Way holds significant research value. The moderately universal welfare system is a socialist welfare system with Chinese characteristics, which is based on China's national conditions and serves the broad masses of the people. On the basis of analyzing the connotations of the two, this paper conducts an in-depth study of their characteristics. Through comparison, it is found that there are significant similarities between them in terms of implementation subjects, the relationship between rights and obligations, and institutional concepts, which can provide reference for the development of China's welfare system.
Basic Research on Steel Rolling Process in Material Forming and Control Engineering
In the context of manufacturing transformation and upgrading, steel rolling processes serve as a critical component in material forming and control engineering. Their precision and efficiency directly determine the performance of high-end equipment. This study focuses on fundamental research in steel rolling processes, specifically examining hot and cold rolling operations. By integrating numerical simulations with experimental verification methods, we analyze the influence of rolling parameters on material microstructure properties. The findings demonstrate that optimizing temperature gradients and deformation distribution significantly enhances overall mechanical properties of steel materials. These results provide theoretical support for developing high-precision rolling processes.
Research on the Application of Software Engineering Method in Computer Software Development
With the rapid advancement of computer technology, software engineering methodologies have gained increasing attention in software development. This article examines the application of software engineering approaches across various stages of the software development lifecycle, including requirements analysis, design, coding, testing, and maintenance. By summarizing the principles, applicable scenarios, and practical considerations of multiple software engineering methods, it proposes a series of actionable strategies and improvement measures. These efforts aim to provide systematic guidance and reference for enhancing software development quality and efficiency while controlling costs and risks in the development process.
Optimization Design and Analysis of Aerodynamic Performance of New Energy Vehicles in Vehicle Engineering
In the context of global energy transition and environmental protection, aerodynamic performance optimization for new energy vehicles (NEVs) has become a critical technological pathway to enhance driving range and ride comfort. Confronting the unique structural and performance requirements of NEVs, traditional aerodynamic optimization methods demonstrate limitations, necessitating innovative strategies. Through systematic analysis of aerodynamic resistance composition and influencing mechanisms, combined with computational fluid dynamics simulations and wind tunnel experiments, this study investigates optimization approaches including whole-vehicle shape design, underbody flow field management, and active aerodynamic control systems. The research establishes an aerodynamic performance evaluation framework tailored for NEVs. Results indicate that comprehensive aerodynamic optimization strategies can effectively reduce drag coefficients by 15%-25%, significantly improving driving range. These findings provide theoretical foundations and practical guidance for NEV design.
Application of Intelligent Robot in Mechanical and Electronic Engineering
With the deep integration of artificial intelligence and mechatronic engineering, intelligent robotics is reshaping modern manufacturing production models and operational paradigms. This paper focuses on the application of intelligent robots in mechatronic engineering, conducting an in-depth analysis of their technical advantages in efficiency enhancement, cost optimization, quality assurance, and safety improvement. It systematically explores the technological implementation of intelligent robots in flexible automation upgrades for production lines, smart compensation for precision machining, intelligent diagnostics for equipment health management, and smart scheduling for logistics systems. The research aims to address the rigid, inefficient, and uncertain challenges inherent in traditional manufacturing models.
Application of Public Management Decision Theory in Organizational Human Resources Performance Management
This paper delves deeply into the application of public management decision theory in organizational human resources performance management. By analyzing the core content of public management decision theory and combining it with the existing problems in organizational human resources performance management, this paper expounds on the specific paths and methods of applying public management decision theory to human resources performance management. The aim is to enhance the scientificity and effectiveness of organizational human resources performance management, provide strong human support for organizational development, and achieve the coordinated progress of organizational goals and employees' personal development.
Copyright (c) 2025 Zhixin Yu,Zhicheng Yu*
Lifecycle Building Cost and Carbon Impact Analysis and Visualization: Design Sampling and Predictive Modeling
In this research, I have developed a data-driven workflow that recommends sustainable building solutions based on lifecycle cost ($) and carbon impact (kgCO2eq). The workflow can analyze conceptual geometries in the early design stage when there is limited information. By following recommended ranges of numerical attributes and options of categorical attributes, the workflow helps save on average 15% on cost and 25% on carbon impact. Cutting-edge technologies are applied including design sampling, predictive modeling, data analysis and visualization.
Medical Big Data Cleaning and Visualization Research
This study focuses on medical big data and utilizes Python programming language in combination with Kettle tools for data cleaning and processing. The data cleaning process includes missing value imputation, outlier detection and correction, duplicate record removal, and integration of multiple data sources. Python offers a rich set of data processing libraries (such as Pandas and NumPy), greatly facilitating data quality evaluation and cleaning. Meanwhile, Kettle tools excel in large-scale data batch processing and transformation, enabling efficient management of complex data flows. By leveraging the synergy between Python and Kettle, we developed a flexible and efficient data cleaning workflow to ensure data accuracy, consistency, and completeness.
Agricultural Modernization in China--The Adaptive Evolution of Collective Ownership and the Two-Tier Management System
In China's agricultural modernization, the collective ownership system and two-tier management system have formed a unique path through adaptive evolution. Theoretically, based on public ownership of land, it balances efficiency and coordination via the "combination of unified management and decentralized operation, " with its adaptability stemming from three factors including institutional flexibility. Historically, it has gone through three stages: the household contract responsibility system broke the planned economy (1978-1992); land transfer and cooperatives improved the system (1992-2012); and the "separation of ownership, contract right, and management right" drove transformation (since 2012), giving rise to models like Beidahuang and Shouguang. Empirically, it improves economic efficiency, ensures social income growth, reduces chemical fertilizer use ecologically, and breaks Western path dependence. To address issues like "non-grain conversion of farmland, " measures such as policy adjustment, institutional farmland protection, and collective transformation are adopted to achieve winwin for collectives and farmers and consolidate the institutional foundation.
The Construction of Data Resource Market Empowers the Development of New Quality Productivity: A Quasi-Natural Experiment Based on the Establishment of Data Trading Platforms
Data elements, with their unique advantages of low cost and high penetration, have gradually become the core of the development of new-quality productive forces. Based on the panel data of 275 Chinese cities from 2011 to 2021, this article constructs a quasi-natural experiment by using the establishment of data trading platforms and employs a progressive difference-in-differences model to examine the impact of the construction of data resource markets on new-quality productive forces, as well as conduct empirical tests on its transmission mechanism. The research finds that the construction of data resource markets can significantly promote the development of new-quality productive forces. The mechanism test shows that the construction of data resource markets can promote the development of new-quality productive forces by advancing digital technology innovation.
Research on Talent Cultivation Based on the Curriculum of Legal English and the Concept of Integration of Industry and Education
The foreign-related business exchanges in the Guangdong Hong Kong Macao Greater Bay Area are becoming increasingly frequent. Based on this, multiple universities have adapted to the social trend and have carried out foreign-related talent training. The ASEAN Law Program at Guangxi University for Nationalities provides new insights for Guangzhou College of Applied Science and Technology on how to embark on a unique path of cultivating foreign-related legal talents, surpassing the past paths of "promoting education through competition". In this regard, based on the content of the "Legal English" course, this article proposes reconstruction suggestions for the existing "Legal English" course design, shaping an innovative "integration of industry and education" path for cultivating foreign-related talents at Guangzhou University of Applied Science and Technology, to meet the school's differentiated needs for foreign-related legal education in private colleges.
Impact of Digital Tools on the Innovation Efficacy of University Research Teams
In the context where the wave of digital transformation is sweeping across the globe, as the core force of scientific and technological innovation, innovation efficacy of university research teams is directly related to the enhancement of the scientific and technological competitiveness of a country. The traditional scientific research model has some problems such as hysteretic information acquisition, low collaboration efficiency and difficulty in resource sharing, which makes it hard to meet the needs of complex and efficient scientific research in the new era. With the advantages such as information integration, synergy and collaboration, and data analysis, Digital tools provide significant support for breaking through traditional scientific research bottlenecks and enhancing the innovation efficacy of university research teams. This paper aims to study the application of digital tools in university research teams, analyze the key factors influencing their role in enhancing innovation efficacy, and propose practical optimization pathways in order to provide reference for university research teams to enhance their innovation ability through digital tools, and offer decision basis for universities to formulate policies on the development of digital research and perfect the research management mechanism at the same time.
In today's digital era, Facial Recognition Technology has permeated various fields of social life and public safety with its high efficiency and convenience. The principle of informed consent, an important principle of Personal Information Protection, is facing severe challenges in the application scenarios of facial recognition technology: users are often forced to hand over Biometric Data in situations of "Forced Authorization" or "Information Asymmetry", leading to frequent problems such as Privacy Breach and Data Misuse. Based on this, this article uses case analysis and comparative analysis to explore how the law constructs and protects the Digital Order with "User Control Rights" as its core.
Exploration on Improving the Effectiveness of Mental Health Education for Private Vocational Undergraduates under the Pattern of Great Ideological and Political Education
Private higher education plays a key role in China's education system, and the mental health of middle school students in vocational colleges is closely related to the quality of personnel training. Under the current ideological and political situation, there are still many challenges in mental health education in private vocational colleges. This paper takes the mental health education of students in private vocational colleges as a breakthrough point, analyzes the problems existing in the current teaching staff, such as lack of professionalism, incomplete curriculum system and single educational form, and puts forward some ways to promote the effectiveness of mental health education in private vocational colleges, such as building a psychological service system for educating all staff, optimizing curriculum, strengthening the construction of professional teams, innovating educational forms, and integrating resources inside and outside the school, so as to provide reference for cultivating high-quality technical and technical talents with physical and mental health.
Practical Exploration of Contextualized Teaching and Learning of Aviation English Terminology in Vocational Classrooms
Aviation English terminology is a key tool for professional communication in the civil aviation sector, and their learning effect directly affect the employment compatibility and development potential of vocational college students. Traditional classrooms usually take individual words as teaching focus, resulting in low memory efficiency and inadequate practical application ability among students, which makes it difficult for traditional classrooms to meet the requirements of the aviation industry for compound technical talents. Contextualized teaching and learning method employs immersive learning to enhance students' understanding and practical application of terminology and deepen students' understanding of its application scenarios by creating language environment that simulates real working scenarios. By developing appropriate contextualized teaching and learning schemes based on the course characteristics and textbook content of aviation majors, vocational colleges can significantly improve students' accuracy in mastering terminology, proficiency in application, and job adaptability to provide strong support for cultivating technical talents with professional language literacy and promote the integration of vocational education with industry demands.
Superelastic SMA Transformation Ratcheting Behavior Test and Macroscopic Phenomenological Constitutive Model Considering the Effect of Strain Amplitude
This paper proposes an improved constitutive model for the transformation ratcheting behavior of superelastic shape memory alloys (SMA), based on experimental results and the limitations of the Graesser constitutive model. The model divides the hysteresis curve into loading and unloading stages and introduces parameter evolution equations to describe the nonlinear evolution of parameters during cyclic loading. MATLAB simulations verify the model's high-precision predictive capability under various strain amplitude conditions, providing theoretical support for the development of SMA application theory.
Copyright (c) 2025 Yiming Liu,Zhangrui Liu
Research on Training Strategies of Vocational Undergraduate Tourism Management Talents in the New Era
This paper conducts an in-depth study on cultivating tourism management professionals through vocational undergraduate education in the new era. By analyzing emerging trends and evolving demands in the tourism industry, while considering the distinctive features of vocational undergraduate programs, it identifies current challenges in talent development. The paper proposes strategic solutions including optimizing curriculum systems, deepening industry-education integration, enhancing practical training, building dual-qualified faculty teams, and refining talent evaluation mechanisms. These recommendations aim to provide vocational institutions with actionable guidance for developing high-quality applied professionals who meet the evolving needs of the tourism sector, ultimately driving sustainable growth in the industry.
The Influence of Driving and Riding Experience on Consumers' Purchase Intention of New Energy Vehicles: An Empirical Study in Chengdu, China
Copyright (c) 2025 Yongjian Tang,Rapassa Roung-onnam
A Study on the Impact of Artificial Intelligence Technology Application on Enterprise Informatization Management
With the continuous advancement and widespread application of artificial intelligence (AI) technology, enterprise informatization management is gradually entering a new stage of intelligence and automation. AI's capabilities in data mining, intelligent decision-making, and process optimization provide strong support for enterprises to improve management efficiency, reduce operating costs, and enhance organizational agility. Based on the development background and technical characteristics of AI technology, this paper conducts an in-depth analysis of its application paths and functional advantages in enterprise informatization management, with a focus on exploring how AI reshapes enterprise management models in aspects such as data management, business process optimization, and decision support.
Adaptive Strategies for Cultural and Ecological Space of Rural Tourism in Haikou Economic Circle
Against the backdrop of the construction of the Hainan Free Trade Port and the development of "International Tourism and Consumption Destination", rural tourism in the Haikou Economic Circle (including Haikou, Wenchang, Chengmai, Ding' an, and Lingao) has become an important starting point to promote urban-rural integration and rural revitalization by virtue of its unique tropical coastal resources and folk cultural advantages. However, at present, rural tourism in this area generally suffers from spatial fragmentation of ecological spaces, homogenization of resource development, imbalance between ecological protection and tourism development and other problems, which leads to inadequate spatial adaptability and makes it difficult to meet the diverse needs of tourists and the sustainable development goals of rural areas. This paper combines the idea of "lucid waters and lush mountains are invaluable assets" with the requirements of the integrated development of culture and tourism, starts from the current situation of the cultural and ecological space of rural tourism in the Haikou Economic Circle, analyzes the core causes of inadequate spatial adaptability, explores adaptive strategies covering cultural inheritance and spatial integration, ecological protection and tourism development, functional optimization and scenario innovation, proposes policy support, financial guarantee and talent cultivation, and other implementation pathways at the same time, and aims to provide theoretical reference and practical guidance for the high-quality development of rural tourism in the Haikou Economic Circle.
Application of Hainan Regional Culture in Urban Renewal Landscape Design
Exploring on the Mechanism of Cultivating Learning Atmosphere in Colleges and Universities under PDCA Mechanism
Copyright (c) 2025 Bei Wu,Feng Wang*,Yimin He
Research on Urban Lighting Landscape Planning and Design Under Night Economy
With economic growth and evolving lifestyles, night-time tourism has emerged as a new economic growth engine for cities. Urban lighting landscapes, serving as vital components of this industry, play a pivotal role in attracting visitors, enhancing city branding, and stimulating consumption. This study examines the planning and design principles of urban lighting landscapes within the context of night-time tourism, analyzes their significance and current challenges, outlines strategic approaches, and provides practical insights through case studies. The research aims to offer theoretical foundations and actionable references for developing distinctive, high-quality urban lighting designs that drive sustainable development in the night-time economy.
Design of Biomimetic Vascular Structure Microchannel Cold Plate and Its Enhanced Heat Transfer Performance in Electronic Device Heat Dissipation
This article investigates the enhanced heat transfer performance of biomimetic vascular structure microchannel cold plates in electronic device heat dissipation through numerical simulation methods. Three different microchannel cold plates with different channel structures were designed, including a two-stage diversion structure (Scheme A), a three-stage branching biomimetic structure (Scheme B), and a fourth-order branching biomimetic structure (Scheme C). A detailed analysis was conducted on the fl ow fi eld characteristics, temperature distribution, pressure drop and fl ow resistance, and overall performance of the three schemes by establishing a three-dimensional geometric model, performing mesh partitioning and independence verifi cation, setting mathematical models and assumptions, and applying boundary conditions. The results indicate that the four-level branching biomimetic structure (Scheme C) outperforms other schemes in improving fl ow uniformity, reducing maximum wall temperature, and decreasing fl ow resistance. It has the highest comprehensive performance factor (PEC) and is suitable for high heat fl ux density cooling applications.
Copyright (c) 2025 Jialin Tang *,Zhongyun Tian,Mingzhi Kong
Home Design and Application of Home Intelligent System
The application of home design and smart home systems can provide users with innovative living experiences. Through the integration and interconnection of intelligent systems, home design can be intelligently controlled, and smart home devices and furniture can be interconnected to enhance living comfort, convenience, and safety. The combination of home design and smart systems can create customized indoor environments that meet users' personalized needs while improving energy efficiency and environmental friendliness. This integration will bring greater innovation to home design and enhance users' quality of life.
Copyright (c) 2025 Ziqian Luo,Yuxin Wang
Application and Development of Geographic Information Science in Intelligent Transportation
Smart transportation plays a vital role in enhancing people's quality of life and has become an essential component of modern urban planning and management. As the foundational discipline for spatial information acquisition, processing, and analysis, Geographic Information Science provides indispensable spatial frameworks and analytical methodologies for smart transportation. Its capabilities in precise modeling and dynamic representation of geospatial data serve as critical technological support for addressing complex challenges such as traffic congestion and safety hazards. From digital modeling of transportation networks to intelligent route planning, from real-time traffic monitoring to optimized layout of transportation facilities, the integration of Geographic Information Science with smart transportation has permeated every aspect of transportation systems. Exploring the application scenarios and development trends of Geographic Information Science in smart transportation not only enriches interdisciplinary theoretical research but also provides practical guidance for building efficient, green, and safe modern transportation systems. This advancement drives the evolution of transportation systems toward a more adaptive and forward-looking intelligent stage.
Pathways for Improving the Cargo Clearance Efficiency at the Hainan Free Trade Port after Its Customs Closure
Customs closure of the Hainan Free Trade Port is the key to implementing core policies such as "zero tariffs". The efficiency of cargo clearance at the ports directly affects its resource allocation capability and international competitiveness. Currently, the import customs clearance time for regular general cargo at Hainan ports is approximately 36 hours (data comes from the 2024 "Report on the Development of Cross-border Trade Facilitation in Hainan Free Trade Port"), but the time is less than 12 hours at Singapore ports (Data comes from the 2024 "Global Logistics Performance Index Report" of the World Bank). The disparity between the two is significant. This paper combines the special policy environment after the customs closure and domestic and foreign experience, analyzes the bottleneck of customs clearance in Hainan ports from the dimensions of hardware upgrading, digital supervision, process optimization, and collaborative mechanism construction, and proposes intelligent infrastructure, "single window" iteration, regulatory innovation, cross-departmental collaboration, and other improvement pathways. It is expected that the customs clearance time can be shortened by more than 30%. And it aims to provide theoretical and practical reference for optimizing the customs clearance system and helping create international and convenient trade and investment environment.
Innovation in Enterprise Organizational Structure and Efficacy Enhancement in the Integration of Mass Entrepreneurship and Innovation
Against the backdrop of the deep integration of "mass entrepreneurship and innovation" and industrial upgrading, as the core carrier for the implementation of strategies, the adaptability and innovation of enterprise organizational structure directly determine the implementation effect of the integration of mass entrepreneurship and innovation. In light of the requirements of the integration of mass entrepreneurship and innovation for enterprise agility, collaboration, and openness, this paper analyzes the limitations of traditional organizational structures in terms of hierarchical barriers, departmental partition, and lagging decision-making, proposes flat, networked, platform-based structure innovation, and explores pathways for efficacy improvement from four dimensions: authority and responsibility reconfiguration, process optimization, culture cultivation, and technology empowerment. Research shows that innovating organizational structures that are suitable for the integration of mass entrepreneurship and innovation need to break free from the constraints of traditional hierarchy, and achieve efficient allocation of resources and full release of innovation vitality by building a flexible form of organization to provide support for enterprises to achieve high-quality development in the wave of mass entrepreneurship and innovation.
The Analysis of Cross-Border E-commerce Marketing Strategies for Domestic Cosmetics Brands: A Case Study of "Colorkey"'s International Expansion
The rapid growth of cross-border e-commerce (CBEC) presents significant opportunities for international expansion of domestic Chinese cosmetics brands. This thesis employs a SWOT analysis framework to examine the internal strengths and weaknesses, alongside external opportunities and threats through a case study of Colorkey. Through analysis of Colorkey's market positioning, product strategy, digital marketing channels, platform utilization, social media engagement, and brand building efforts, this thesis identifies key success factors and persistent challenges. Findings reveal that Colorkey's success stems from leveraging strengths like agility, digital-native DNA, competitive pricing, and R&D focus, while strategically capitalizing on opportunities presented by platform growth, KOL marketing, and shifting consumer preferences towards diversity and affordability. However, weaknesses such as limited brand heritage, intense competition, and logistical complexities, coupled with threats like geopolitical tensions, platform volatility present critical challenges. By the findings, this thesis proposed Strategic recommendations for Chinese domestic brands seeking across- border expansion.
Application and Practice of DCS System in the Production of Chemical Raw Materials
This paper discusses the application and practice of distributed control system (DCS) for chemical raw materials, in order to cope with the complexity and challenges in the field of chemical pharmacy. Firstly, the basic concept of DCS system is reviewed, and the characteristics of chemical raw material drug production and its requirements for automation system are analyzed. In the analysis of the current situation, the development status of the current technology and the main obstacles faced by the industry are pointed out, including the lack of integration of control systems, low automation level, data transmission delay and insufficient personnel skills training. In view of these problems, this paper puts forward some countermeasures, such as optimizing system architecture and integration scheme, improving automation technology level, improving data transmission technology and strengthening personnel training. The research results show that the effective implementation of DCS system can significantly improve the efficiency and safety of chemical raw materials production, thus promoting the sustainable development of the industry.
Copyright (c) 2025 Zongkai Xie *,Jun Chen,Chunhua Yang,Siqi Han,Su Liu