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 FRIM welcomes all original manuscripts that do not be published in any other journals.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)
Research on Intelligent Steering Technology for Petroleum Drilling and Precision Matching Methods of Geological Formations
This paper focuses on the core challenges of precise trajectory control and effective drilling encounter of geological targets in the process of oil drilling. Taking intelligent steering technology and geological horizon matching method as the research objects, it systematically expounds their key technologies and integration mechanisms. By constructing a real-time closed-loop system of "geological prediction - interpretation while drilling - trajectory regulation", it achieves dynamic optimization and adaptive adjustment of the wellbore trajectory in the three-dimensional geological space, significantly improving the drilling accuracy of complex reservoirs and the recovery efficiency of oil and gas.
A Multi-Scale Convolutional Attention Mechanism IntegratedMethod for Battery Capacity Prediction of New Energy Vehicles
Accurate battery health prediction is critical for electric vehicle safety and utilization, yet real-world operational data pose significant challenges. This paper proposes a battery capacity prediction method based on real-world charging data and a multi-scale attention mechanism. Capacity labels are obtained using an improved ampere-hour integration method with monthly averaging to suppress noise. Correlation-based feature screening is applied to construct an optimal feature set. A dual-encoder model with temporal decomposition and multi-scale attention is developed to capture long- and short-term degradation patterns. Experimental results demonstrate superior performance, achieving MAE and MSE of 0.3663 and 0.3694, outperforming traditional and mainstream temporal models, and showing strong potential for practical battery health monitoring.
Copyright (c) 2026 Bohang Chen*,Chao Yin,Yan Wang
The rational determination of rock mass classification and mechanical parameters is critical for the stability analysis of underground engineering. Investigating the quantitative relationship between the Geological Strength Index (GSI) within the Hoek-Brown criterion and the widely used Rock Mass Rating (RMR) is of great significance for engineering construction. This paper systematically reviews the current research status of the relationship between GSI and RMR based on the Hoek-Brown criterion, with a specific focus on analyzing empirical correlations established by various scholars across different engineering contexts, including tunnels, slopes, and borehole cores. Through a comprehensive comparative analysis, it is found that although engineering conditions and evaluation methods vary among studies, RMR and GSI generally exhibit a positive linear correlation. However, significant differences exist in the slopes and intercepts of these empirical equations. The results indicate that no universal, strict conversion formula exists between RMR and GSI. Consequently, in future engineering practice, the selection and modification of conversion relationships should be based on specific geological conditions.
On the Subject of Tort Liability in Artificial Intelligence Autonomous Driving
Globally, countries are actively advancing the research and development of unmanned vehicles which is seen as an expanding competitive trend within the automotive industry. Conceptually, unmanned vehicles are believed to offer better environmental benefits and improved road safety. However, in practice, these vehicles may become involved in traffic accidents due to various factors. Such scenarios differ significantly from traditional vehicle usage particularly in terms of accident causes and liability allocation. When an unmanned vehicle is involved in a road accident there is an urgent need to clarify the identification of responsible parties and the applicability of liability principles. It is also essential to assess whether existing legal regulations designed for human-driven vehicles remain suitable for this new technology. Nonetheless, issues such as difficulty in identifying the liable party confusion in applying principles of liability attribution and complexities in establishing causation persist in the realm of unmanned vehicle tort liability. These challenges represent pressing legal problems that need to be urgently addressed.
Research on the Construction of Trust Model for Public Data Authorization Operation
Amid the digital economy, public data, as a fundamental national strategic resource, has seen pilot authorized operation projects launched across China. However, three core issues remain in practice: unclear ownership definition, the contradiction between data security and efficient utilization, and inadequate revenue distribution mechanisms. These seriously hinder the full release of public data's potential value. Given the challenges in system construction and practical operation of public data authorized operation, introducing the data trust model can offer an effective institutional path for public data governance. Leveraging the data trust mechanism, we can achieve the dual goals of safeguarding public data security and realizing its value-added utilization. From an interdisciplinary perspective integrating trust law and data law, this approach can not only deepen theoretical research on public data governance but also provide useful references and guidance for public data trust practice in ongoing regional authorized operation pilots.
The Dynamic Impact of Digital Technology on Carbon Emission Efficiency: Evidence from China's Regions
Based on panel data from 30 provinces in China from 2004 to 2021, this study uses two-way fixed model and panel threshold model to analyze the impact of digital technology on carbon emission efficiency. The results indicate that digital technology significantly enhances carbon emission efficiency, and the threshold effect test further reveals that the relationship between the two is not linear but exhibits a positive U-shaped non-linear pattern. The conclusions provide valuable insights for policy makers to fully exploit digital technology to achieve carbon neutrality.
Challenges and Countermeasures of Avoiding Poverty Reoccurrence in Ethnic Minority Areas under the Background of Rural Revitalization -- Taking Liangshan Yi Ethnic Group Settlement Area in Sichuan Province as an Example
As China's largest Yi ethnic community and the most impoverished region, Liangshan Yi Autonomous Prefecture has achieved near-total eradication of absolute poverty in its Yi settlements through arduous poverty alleviation efforts, mirroring the national strategy for targeted poverty reduction. However, a review of these initiatives reveals persistent challenges: heightened screening complexities, low farmer participation rates, and impractical government support programs. This study begins with an examination of precision poverty alleviation, then analyzes specific issues in Liangshan's Yi settlements while proposing targeted solutions.
Toward Standardization: Cooking Techniques of Qiong Cuisine in the Context of the Hainan Free Trade Port
The construction of the Hainan Free Trade Port has provided unprecedented opportunities for the development of Qiong cuisine, and equally put forward higher requirements for the standardized and international development of Qiong cuisine. As the cornerstone of Qiong cuisine's flavor profile, the standardization level of its cooking techniques directly governs both quality consistency and brand influence. This study focuses on the standardization of Qiong cooking techniques, and aligns with Hainan Free Trade Port's strategic framework to analyze the practical implications of such standardization, dissect critical challenges in the inheritance and evolution of Qiong cooking techniques, and explore the pathways for building a scientific and reasonable standard system for Qiong cooking techniques, aiming to provide theoretical support for Qiong cuisine to achieve industrialization and internationalization by taking advantage of the favorable conditions of the Hainan free trade port.
Spanish Digital Attention to Cities in Zhejiang: A Five-Year Analysis Using Google Trends Data (2021-2025)
Using Google Trends data, this study analyzes Spanish digital attention toward nine Zhejiang cities (2021-2025). Three distinct patterns emerged: (1) Sustained growth (Hangzhou) - attention rose steadily and continued increasing post-Asian Games, reaching historical highs in 2024-2025, demonstrating mega-events' cumulative effect. (2) Event-driven spikes (Ningbo) - attention peaked (RSV=100) during WTA 500 (October 2024) then rapidly declined, showing short-term impact. (3) Stable-sustained (Wenzhou) - maintained moderate attention via diaspora network. Additionally, trade-driven fluctuation (Yiwu) and cultural product-focused patterns (Shaoxing) revealed niche internationalization strategies. These patterns demonstrate that search data analysis provides valuable insights into cities' international visibility dynamics, offering an empirical foundation for understanding differentiated pathways to global engagement.
Research on the Cultivation of Core Competencies for College Students Majoring in Preschool Education from the Perspective of the Spirit of Educators
In the context of pursuing simultaneous improvement in both quality and scale in preschool education, the competency level of college students majoring in preschool education determines the upper limit of future early childhood education. Based on the spirit of educators, this paper discusses how to embed it into the curriculum system, mentorship programs, and master teacher initiatives, and integrate it throughout practical teaching, in order to simultaneously strengthen students' professional ethics and professional skills, thereby solidifying the foundation for the long-term development of preschool education.
Copyright (c) 2026 Jinshan Wu,Sukyoung Cho
The Division of Labor in Urban Networks and Its Formation Mechanism from the Perspective of Manufacturing Value Chain Links: Based on the Guangdong-Guangxi Cooperation Context
Research on urban networks based on value chain division of labor is emerging as a hot topic in economic geography. Using social network analysis methods applied to manufacturing enterprise network data, this study characterizes the urban network features of Guangdong and Guangxi. By identifying the primary functions of micro-enterprises within cities, it measures the functional division of labor among node cities and investigates the formation mechanisms of urban network specialization.
Copyright (c) 2026 Zhili Zhang,Fangbin Qin,Changyu Ning*
Research on the Impact of Tax Incentives on the High-Quality Development of High-tech Enterprises
This study examines the impact of tax incentives on the high-quality development of high-tech enterprises within China's current economic strategy. Using data from listed companies and empirical econometric models, the research demonstrates that tax incentives significantly promote such development. A key finding is the presence of a non-linear, dual-threshold effect: the positive impact of tax incentives intensifies progressively as the policy's support strength increases, indicating that greater incentive intensity yields proportionally larger benefits. Furthermore, the analysis reveals significant heterogeneity in policy effectiveness. The promotional effect is markedly stronger for non-stateowned enterprises compared to state-owned ones, suggesting differing capacities to utilize fiscal support. Regional disparities are also evident, with enterprises in the more developed central and eastern regions benefiting more than those in western regions. At the industry level, technology-intensive sectors exhibit a more pronounced positive response to tax incentives than other high-tech fields. These findings underscore the critical role of well-structured tax policies in driving innovation-led growth. They suggest that policymakers should consider implementing tiered or intensity-based tax incentive schemes and tailor policies to account for enterprise ownership, regional context, and industry-specific characteristics to maximize their effectiveness in fostering sustainable, high-quality development in the strategic high-tech sector.
Research on the Strengthening Path of Security Protection System of Big Data Platform
With the rapid development of the digital economy and next-generation information technologies, big data platforms have become critical infrastructure for government governance, industrial operations, and public services. Their security directly impacts the realization of data resource value and the stability of societal operations. However, amid the rapid expansion of data scale and increasingly complex platform architectures, big data platforms face diverse and systematic security risks across data collection, storage, computation, sharing, and application. Traditional perimeter-based security models are no longer sufficient to meet current demands. In response, this paper conducts a systematic investigation into big data platform security protection, addressing three dimensions: current state analysis, risk identification, and implementation pathways. First, it examines the prevailing security practices of typical big data platforms and analyzes major threats using relevant theories. Second, it identifies prominent challenges in existing security frameworks, focusing on data lifecycle management, heterogeneous component coordination, and real-time threat response. Finally, it proposes enhancement pathways for the big data platform security framework across technical implementation, management and operations, as well as standards, regulations, and talent development. This paper aims to provide systematic and actionable recommendations for big data platform security governance, offering reference for enhancing platform security capabilities and data element protection levels.
The Impact of Financing Constraints on R&D Investment in Small and Medium-sized Enterprises (SMEs)
This study examines the influence of financing constraints on research and development (R&D) investment in small and mediumsized enterprises (SMEs). Using panel data from 300 SMEs across manufacturing and technology sectors from 2015 to 2021, we analyze the relationship between various financing constraint measures and R&D intensity. Our findings indicate that financing constraints significantly reduce R&D investment, with this effect being more pronounced in younger firms and technology-intensive sectors. The study employs fixedeffects regression models and instrumental variable approaches to address potential endogeneity. Results suggest that improving access to diverse financing sources could mitigate negative impacts on innovation activities in SMEs.
Research on Strategies for the Integrated Development of Media and Cultural Industries from the Perspective of Urban Brand Communication
Against the backdrop of increasingly intense urban competition and rapidly evolving media technologies, promoting the integration of urban brand communication and the media and cultural industry has become an important way to enhance urban competitiveness. Based on the perspective of urban brand communication, this paper analyzes the intrinsic connection between the two, explores the constraining factors in their integrated development, and subsequently proposes targeted development strategies. The study helps clarify the internal logic of their integration, provides ideas for breaking industrial barriers and optimizing resource allocation, and holds significant practical significance for enhancing urban brand influence and promoting high-quality development of the media and cultural industry.
Intelligent Content Creation: Exploration and Practice of AIGC
AIGC is reshaping the short film creation process with relatively low barriers and high efficiency: from script conception to storyboard generation, and then to audio-visual synthesis, the expressive boundaries for creators are rapidly expanding. However, the accelerated development of technology also brings new uncertainties, such as aesthetic homogenization, barriers in data and computing power, unclear copyright ownership, and the spillover of ethical risks. Without governance and collaboration, innovation can easily fall into a short-lived boom. This paper outlines the trend of integration between AIGC and short film creation, analyzes the current challenges, and proposes practical, systematic approaches to provide references for the industry in establishing sustainable creation mechanisms and standards.
Dilemmas and Pathways for AI Application in International Criminal Judicial Assistance
Artificial intelligence technology provides efficient tools for combating transnational crime, yet its application in international criminal judicial assistance faces unique dilemmas: existing international conventions fail to cover rules for determining the legality of algorithmgenerated evidence; disparities in national data protection laws impede cross-border data flows; and algorithmic bias and the "black box" problem exacerbate difficulties in review and liability determination. This article argues that overcoming these dilemmas requires constructing multi-tiered international rules, promoting mutual recognition of technical standards, clarifying AI's auxiliary role, and strengthening rights remedies to balance technological empowerment with human rights protection.
Exploring the Enhancement Pathways of Digital Literacy for University Foreign Language Teachers in the Context of Digital Transformation
Higher education has undergone profound changes due to digital transformation, and the digital literacy of foreign language teachers directly affects teaching effectiveness. Through analyzing the elements of digital literacy among university foreign language teachers, the study reveals that teachers have deficiencies in digital concept recognition and technical application levels, and supporting training mechanisms need further improvement. Based on this, the research suggests creating a structured competency cultivation system, developing intelligent teaching support platforms, and improving multi-dimensional evaluation and incentive measures to strengthen teacher digital literacy. Implementing these strategies can effectively enhance teachers' informatization capabilities, promote the in-depth development of foreign language education digital transformation, and provide strong support for cultivating internationalized talents that meet new era standards.
Research on the Practical Application Path of Enterprise Accounting under the New Revenue Standard
The new revenue standard takes "transfer of control" as the core idea instead of "transfer of risk and reward", constructs a "five step" unified model, and systematically reconstructs the theoretical basis and practical rules of revenue recognition. The study focuses on the key obstacles in the implementation of guidelines, revealing the common difficulties faced by enterprises in defining contract boundaries, breaking down performance obligations, estimating variable consideration, and making periodic performance judgments, such as strong subjectivity, insufficient data support, and vague professional judgment standards. In response to these challenges, it is proposed to establish an implementation framework that integrates organizational support, process reengineering, technological empowerment, and capability upgrading. This framework aims to achieve deep integration of business and finance through cross functional collaboration mechanisms, solidify confirmation rules and allocation logic based on ERP systems and business intelligence platforms, and enhance the execution of guidelines for all employees through a hierarchical training system and knowledge management.
Screening of Lactic Acid Bacteria with High L-Lactic Acid Production from Pit Mud and Its Application in Kimchi
This study aimed to screen lactic acid bacteria (LAB) with high L-lactic acid production from the pit mud of Luzhou-flavor Baijiu and explore their application effects in kimchi production. High-quality aged pit mud was used as the bacterial source, and the screened strains were identified through morphological observation and molecular biotechnology before being added to the kimchi production process. The results showed that 4 LAB strains were isolated from the pit mud, among which strain 5-2 exhibited strong acid resistance and was identified as Lactobacillus casei via 16S rRNA sequencing. During kimchi fermentation, the L-lactic acid concentration in naturally fermented kimchi was 0.5 g/L, while that in kimchi supplemented with the screened LAB reached 1.2 g/L. This study demonstrated that the high L-lactic acidproducing LAB isolated from pit mud can be applied in kimchi production to increase L-lactic acid content, providing theoretical support for the utilization of microorganisms in pit mud.
Copyright (c) 2026 Zhiguo Huang,Lvchang Liu,Chunhui Wei,Zhiqiang Ren,Jun Xie,Jie Deng*
Prospects of Electronic Information Automation
Engineering Application of Microbial-Induced Surface Modification Technology for Ecological Restoration of Limestone Mines
Large areas of bare limestone surfaces are commonly exposed after long-term mining activities, resulting in slow natural weathering, poor substrate conditions, and difficulty in vegetation establishment [1, 3, 4]. Traditional engineering restoration methods, such as soil covering and hydroseeding, are often limited by steep terrain, high costs, and unstable restoration effects. In this study, a microbial-induced surface modification technology was tested on limestone samples and exposed rock surfaces in a typical limestone mining area. A composite microbial suspension was sprayed onto limestone surfaces under natural high-temperature and high-radiation conditions, and the attachment, growth, and surface modification effects of microorganisms were continuously observed. The results indicate that microbial coatings can gradually form on limestone surfaces, leading to visible changes in surface texture and microstructure. This process contributes to the improvement of surface conditions and provides a favorable basis for subsequent ecological restoration. The findings demonstrate the engineering feasibility of microbial technology as a supplementary method for limestone mine ecological restoration.
Copyright (c) 2026 Fan Jiang*,Yiting Wang
Research on the Problems of "Returning to Hometown" University Students' Participation in Grassroots Services in Horqin Left Wing Rear Banner
Since ancient times, China has regarded the personal development of young university students as an important force driving national development and social progress. As part of the nation, grassroots service work in Horqin Left Wing Rear Banner also relies on the effective support of young university students. Therefore, this paper takes Horqin Left Wing Rear Banner as the study area and the "Returning to Hometown" social practice activity as a case study. It attempts to analyze current problems from three dimensions: the degree of participation of university students in grassroots services, the service fields, and logistical support. Corresponding optimization paths are proposed to enhance the overall effectiveness of grassroots services.
Cross-Operating-Condition Fault Diagnosis of Gearboxes Based on Multi-Source Subdomain Adaptation and ClassifierAlignment
To address the significant distribution variations in gearbox data across different operating conditions and the limitations of singlecondition data in providing comprehensive fault diagnosis knowledge, this study proposes a cross-condition fault diagnosis method for gearboxes based on multi-source subdomain adaptation and classifier alignment. After data augmentation and normalization, raw signals from multiple source domains and the target domain are fed into a shared feature extractor. Private feature extractors map each source-target domain pair to a specific feature space. Local maximum mean differences are used to align distributions across domains while minimizing discrepancies among all classifiers. The final prediction is obtained by averaging outputs from multiple classifiers.
Copyright (c) 2026 Yan Wang*,Chao Yin,Bohang Chen
The Impact of Smart Tourism Empowered by Digital Technologies on Tourist Experience and Satisfaction
With the continuous advancement of digital technologies, smart tourism has become an important approach for tourism destinations to improve service quality and competitiveness. Digital empowerment enables destinations to integrate technologies such as mobile internet, data platforms, and intelligent service systems into tourism activities, thereby reshaping tourists' overall experience. However, empirical evidence on how smart tourism influences tourist satisfaction through experiential mechanisms remains limited. Based on survey data collected from tourists who have used smart tourism services, this study examines the relationships among smart tourism, tourist experience, and tourist satisfaction. The results indicate that smart tourism has a significant positive impact on tourist experience and tourist satisfaction. Tourist experience is also found to play a partial mediating role in the relationship between smart tourism and tourist satisfaction. These findings provide empirical support for the role of digital empowerment in enhancing tourism experience and satisfaction, and offer practical insights for tourism destinations seeking to promote smart tourism development and improve visitor-oriented service performance.
Research on Security Protection Strategies for Big Data Platforms under Cloud Computing Architecture
The widespread adoption of cloud computing architectures brings advantages to big data platforms, such as high-concurrency processing, elastic scalability, and resource sharing. However, it also presents security risks characterized by cross-domain, dynamic, and systematic traits. Based on the security challenges in cloud computing environments, this study analyzes the core risks arising from multitenant isolation, enhanced data mobility, and elastic resource scheduling, and constructs a cloud security protection framework encompassing zero-trust access control, cloud-edge-terminal encryption systems, automated configuration management, and continuous monitoring. On this basis, three optimization paths are proposed: intelligent threat detection, visual compliance governance, and joint protection mechanisms between cloud service providers and enterprises, aiming to enhance the platform's proactive defense capabilities and collaborative governance effectiveness. The study seeks to provide scalable technical ideas and practical references for building security systems in cloud-based big data platforms.
Analysis of Rhizosphere Soil Bacterial Community Structure and Diversity in Acanthopanax giraldiifrom Different Regions of Qinghai
This study focused onAcanthopanax senticosusfrom the BaoKu and HuZhu regions. The rhizosphere soil bacterial communities were characterized by sequencing the 16S rRNA gene amplicons using Illumina high-throughput sequencing technology. Data analysis and visualization were performed using ANOVA and R language. The results indicated that Proteobacteria and Bacteroidota were the common dominant phyla, while Muribaculaceaewas the common dominant genus. Available phosphorus and pH were identified as potential key factors influencing the bacterial community composition. The rhizosphere soil of Acanthopanax senticosusin different regions of Qinghai exhibits rich bacterial diversity.
Copyright (c) 2026 Linlin Li,Qiangfeng Li*
Application of Material Forming and Control Engineering in Aluminum Alloy Casting Process Optimization
Aluminum alloys, renowned for their lightweight and high-strength properties, have become essential structural materials in aerospace and automotive manufacturing. Casting processes constitute the core of their production. This study employs material forming and control engineering technologies to conduct practical research through two dimensions: precise process parameter regulation and coordinated defect quality management. By utilizing numerical simulation, closed-loop control, and online monitoring techniques, we achieve scientific optimization of casting temperature, filling speed, and mold temperature. This addresses issues such as shrinkage cavities, cracks, and compositional inhomogeneity, driving the transformation of aluminum alloy casting from "experience-driven" to "technology-driven". The research provides reliable technical support for high-end aluminum alloy casting production.
Application of Computer Simulation Technology in Optimizing Operational Parameters for Petroleum Fracturing
Computer simulation technology provides an efficient and low-risk parameter optimization approach for oil fracturing operation. By establishing a multi field coupling numerical model to simulate the complex behaviors such as fracture propagation, fluid flow and proppant migration in the fracturing process, and combining sensitivity analysis and intelligent optimization algorithm, the key parameters such as displacement and sand ratio can be quantitatively optimized. In addition, relying on the dynamic feedback mechanism of real-time monitoring data, the adaptability and reliability of the construction process are further improved, which effectively supports the refined design and safe and efficient implementation of the fracturing scheme.
Research on Contextualized Marketing Strategy for Enterprise Operation under the Experience Economy
With the comprehensive penetration of the experience economy, consumer demand has shifted from functional satisfaction to emotional resonance and value identification. Contextualized marketing has thus become a primary strategic choice for enterprises to connect with users and build competitive advantages. Based on the essential characteristics of the experience economy, this paper systematically analyzes the logic and value of contextualized marketing strategies within this framework. It establishes a strategic implementation framework from three dimensions: emotional resonance scenarios, interactive participation scenarios, and value identification scenarios. Furthermore, it proposes implementation paths such as scenario positioning based on user needs insights, scenario construction through cultural empowerment, and scenario dissemination via omni-channel linkage. The research aims to clarify the intrinsic connection between the experience economy and contextualized marketing, providing theoretical guidance and practical references for enterprises to achieve business upgrading and enhance market competitiveness through contextualized strategies.
AI-Enabled Trust Reconstructionin Live Streaming E-commerce: Changes, Challenges and Collaborative Paths
Copyright (c) 2026 Daozhi Chen,Shiyao Li*,Zhaojun Shao
Research on Innovative Pathways for Campus Plant Culture Construction
This paper explores innovative pathways for campus plant culture construction, grounded in the "Three-All Education" concept, analyzes the educational role of campus plant culture and its landscape-related cultural creations by focusing on the essence of plant culture. It examines the significance of such initiatives in higher education, and proposes optimized strategies by leveraging plant resources and their distinctive features. The study aims to formulate actionable recommendations that advance the integration of "Three-All Education" into campus plant cultural development.
Research on the Development Strategy of XY Group: A Resource-Based View
Based on the Resource-Based View (RBV), this study aims to conduct a deep and systematic analysis of the internal resources, external environment, and competitive landscape of XY Group, a leading omni-channel watch distribution service provider in China. As of 2024, the Chinese watch market has undergone significant structural transformation, reaching a total scale of 268 billion yuan. Notably, the secondhand watch segment has surged to exceed 160 billion yuan, while smartwatches maintain a steady growth trajectory, challenging traditional timepieces. As the undisputed industry leader, XY Group achieved 11.85 billion yuan in revenue and 642 million yuan in net profit in 2024, commanding an 18.5% market share. However, beneath these figures lie critical strategic vulnerabilities: an excessive reliance on upstream supplier oligopolies, the weak market presence of its independent brand, and the intensifying encroachment of smart wearable devices.
Preparation and Application of Carbon Nanotube Heating Films for Extreme Environments in Smart Wearables
With the expansion of extreme scenarios such as polar exploration and plateau operations, the demand for environmental adaptability of smart wearable devices has become increasingly urgent. Traditional heating materials are difficult to meet the harsh application requirements due to inherent shortcomings in energy efficiency, stability, and flexibility. This paper takes carbon nanotubes (CNTs) as the core functional material to systematically carry out research on the optimization of heating film preparation processes and integrated applications in smart wearables. By analyzing the microstructure and electrothermal conversion mechanism of CNTs, comparing the process characteristics of solution-based film formation, vacuum filtration method, and spray coating method, the core preparation technology route suitable for flexible wearable scenarios is determined; with the help of extreme environment simulation experiments, the evolution law of thermoelectric performance of the heating film under the action of -40? ~80? temperature range, 95% relative humidity, and repeated mechanical stress is explored; based on the performance test results, three types of application schemes including intelligent thermal clothing, integrated health monitoring and thermotherapy equipment, and extreme environment operation equipment are designed, and the technical advantages of CNTs heating films are verified by comparing with traditional metal heating wires and polymer heating films. Finally, the core challenges in the large-scale promotion of this technology are summarized, and the development direction of multi-material composite modification and intelligent integration is prospected, providing theoretical support and technical reference for the performance upgrading of smart wearable devices in extreme environments.
Copyright (c) 2026 Haodong Li,Wenjie Li,Guanjie Qu,Xinmai Liu,Haoyang Tian*
Research on the Construction of an Industry-Education Integration Experimental Teaching System for University Physics Laboratory Courses Guided by the "Three Innovations and Three Practicalities" Approach
As industrial upgrading accelerates, societal demand for engineering graduates' innovative practical capabilities intensifies. Traditional university physics laboratory teaching faces increasingly evident shortcomings, including outdated content and insufficient industry-education collaboration, necessitating systematic solutions. This study constructs an industry-education integration experimental teaching system aligned with industrial needs, grounded in the core principles of "Three Creativities and Three Practices" (i.e., creativity, innovation, entrepreneurship experiments, practical training, and practical application). Specifically, by reconfiguring the objectives, optimising the content, and innovating the assessment of university physics laboratory courses, and through empirical research integrating the industry-education integration practices of Sanya University and Geely Group, the effectiveness of this system in enhancing students' innovative literacy, practical abilities, and employment quality was ultimately validated. The findings indicate that the deep integration of the "Three Creativities and Three Practices" concept with industry-education integration has explored a replicable and viable pathway for reforming engineering laboratory teaching in applied universities.
Prediction of AQI in Industrial Cities under the "Triple Carbon" Strategy: Comparison and Optimization Based on Multiple Machine Learning Models
Application of Signal Processing System in Comprehensive Practice of Electronic Information Engineering
Comprehensive electronic information engineering practice serves as a critical bridge between theory and engineering application. As a core technical tool, the depth of signal processing system implementation directly impacts students 'engineering competency development. This paper elaborates on practical implementation paths for five scenarios: low-frequency signal acquisition calibration, power frequency interference filtering, short-range communication modulation, speech noise reduction optimization, and dual-channel fault simulation. It specifies hardware configurations (e.g., STM32, ADXL355), algorithm parameters (e.g., IIR filter passband, RLS step size), and operational verification criteria (e.g., error ?0.5? , 15dB SNR improvement). Through concrete case studies, it addresses the disconnect between simulation and practical implementation, establishing a closed-loop process from hardware development to performance verification. This provides a reusable solution for practical education, fostering students' engineering problem-solving mindset.
Practical Exploration of Game-based Learning in Public English Courses at Vocational Universities Based on Vocational Competence Development
The core objective of public English teaching at vocational universities is to cultivate students' English proficiency in workplace scenarios. However, the traditional teaching model is prone to causing a disconnection between teaching and career requirements. Game-based learning, with its interactivity, contextualization, and fun, offers an effective pathway to address this dilemma. Based on the vocational competence development mandate and aligned with the pain points of public English teaching at vocational universities, this study deeply explores the application logic and implementation strategies of the game-based learning, and forms an end-to-end practice ecosystem by anchoring learning objectives, designing teaching content, and refining teaching process and teaching assessment, aiming to provide actionable frameworks for improving the quality of public English teaching at vocational universities and empowering students' career development.
Copyright (c) 2026 Xiaofei Zhao,Leyu Zhuang