Journal of the European Academy Open University
《Journal of the European Academy Open University》（欧洲学院开放大学学报）是由欧洲学院开放大学校友会与中国建筑文化出版社联合创办，旨在推进欧洲学院开放大学与国际接轨，提升欧洲学院开放大学在国际的影响力并推动全球科技水平的进步。根据2025年欧洲学院开放大学开设专业表，《Journal of the European Academy Open University》的收稿范围为全科，我刊拥有完整的投稿、审稿、出版流程，欢迎各位投稿，投稿邮箱：Journal@edu.aeou.cn
A Systematic Review of the Impact of Maize Mold Exposure on Lung Health of Farmers in the Central and Eastern Plains of China Under Long-term Rainy Conditions
The central and eastern plains of China are major maize-producing areas. In October 2025, prolonged rainy weather led to massive mold growth on maize in producing regions such as Shandong and Henan. Farmers lacked effective protection when harvesting and shelling maize in the rain, resulting in direct exposure to high concentrations of mold spores and a significant increase in the risk of lung infectious diseases. This paper systematically reviews the promoting effect of rainy weather on mold growth and the impact of mold spore exposure on lung health, analyzes the pathological mechanisms and epidemiological characteristics of farmers' lung infections, evaluates the effectiveness of current prevention and control measures, puts forward targeted environmental and health intervention strategies, and provides suggestions for future research directions and policy formulation. The aim is to improve the health security level of farmers and contribute to the sustainable development of food security and public health.
Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
Research on Power Regulation Characteristics and Optimisation Strategies for Photovoltaic Power Stations under Low Irradiance Conditions Based on Operational Data Mining
Addressing issues such as inadequate power regulation capability and reduced generation efficiency in photovoltaic power stations under low irradiance conditions, this study proposes a performance optimisation method based on operational data mining. Utilising actual operational data from a 50kW photovoltaic power station, an improved variational modal decomposition and fuzzy C-means clustering method were employed to analyse the system's power regulation characteristics under low irradiance conditions. Integrating NASA meteorological data, a system performance evaluation model accounting for multiple environmental factors was established, alongside an adaptive optimisation control strategy. Research indicates: the system exhibits pronounced power regulation lag under low irradiance, with response times extended by 42% compared to normal conditions. The proposed optimisation control strategy enhances power generation efficiency by 5.8% and reduces power fluctuations by 37.2% under low irradiance. [Conclusion] The proposed method effectively improves the operational performance of photovoltaic systems under low irradiance, providing a novel technical pathway to enhance power stations' all-weather power generation capabilities.
The Necessity of Constructing Civil Air Defense Engineering in Residential Communities
With the rapid development of the national economy and the continuous improvement of people's living standards, residential communities in cities have gradually become an important part of the national civil air defense engineering construction system against the backdrop of social development and evolving international situations. In peacetime, civil air defense projects in various residential communities serve functions such as commercial development and recreational activities for the public. However, when war breaks out, these projects can be quickly transformed into civil air defense facilities, providing solid protection for people's basic lives and property. Therefore, civil air defense engineering in residential communities has become a vital military-civilian facility integrating peacetime and wartime functions. Civil air defense engineering in modern communities is also a key component of China's national defense security construction system. This paper first analyzes the current status of the civil air defense engineering construction system in urban residential communities in China, then elaborates on the importance of constructing such projects in communities. Finally, based on China's current actual situation and in light of the prominent problems existing in the existing civil air defense projects, corresponding countermeasures and suggestions are put forward.
The diversified development of pension financial products: a bank-centered exploration
Under the background of the acceleration of population ageing and the diversification of pension needs, the innovation of pension financial products has become the core proposition to deal with the challenges of the silver-haired economy. This paper takes the bank-dominated pension finance ecology as the entry point, and reconstructs the dynamic life cycle model and the theoretical framework of intertemporal utility optimization, an asset allocation strategy based on multi-dimensional demand clustering and an open product architecture design are proposed, which break through the limitation of single function of traditional financial products, it explores the innovation of technology-driven service models such as the construction of closed-loop medical health payment through API technology, integrated home care monitoring through the Internet of things, and evaluation of digital twin empowerment institutions, and build a two-dimensional prevention and control mechanism for full-cycle risk monitoring and consumer protection. The purpose of this paper is to provide theoretical support and practical path for the product iteration and service upgrading of commercial banks in the field of pension finance, and to help realize the precise allocation and sustainable development of pension resources.
An Analysis of Common Problems and Countermeasures in the Teaching of Civil Air Defense Engineering Architectural Design
Civil air defense engineering is an important national strategy, serving as a long-term national initiative to advance China's national defense strategic needs and the stable development of the economy. Against the backdrop of the intricate and complex international situation, which poses significant threats to China's stable and secure development, promoting the construction of civil air defense engineering has become crucial. In the construction process of civil air defense engineering, architectural design serves as the overall guideline and the fundamental reference for specific implementation. Therefore, the cultivation of professionals specialized in civil air defense engineering architecture is particularly important. Only by continuously optimizing the teaching link of civil air defense engineering architectural design can we boost the development of civil air defense engineering, and further advance the overall strategic layout of national defense and national development.
Research on the Mechanism Test and Spatial Optimization of Digital Economy driving the Improvement of New Quality Productivity in Hebei Province
At the critical moment of industrial structure transformation and the kinetic energy conversion, the new digital economy as the core engine to foster productivity can assign role increasingly highlighted. As a major industrial province in northern China, Hebei province needs to solve the development dilemma of high proportion of traditional industries and insufficient innovation capacity. Based on the panel data of 11 cities in Hebei Province from 2011 to 2023, this paper constructs a comprehensive evaluation system of digital economy and new quality productivity, and uses entropy method, panel data model, mediating effect model and spatial Durbin model to systematically explore the enabling effect, mechanism, regional heterogeneity and spatial characteristics of digital economy on new quality productivity. Based on this, this paper puts forward countermeasures and suggestions from the four dimensions of digital infrastructure improvement, regional collaborative development, mechanism innovation activation and policy system optimization, providing decision-making reference for Hebei Province to solve the problems of industrial transformation and cultivate new quality productivity with the help of digital economy.
A Brief Discussion on Construction Technology and Quality Control of Civil Air Defense Engineering
From the perspective of civil air defense engineering, the fundamental goal of construction is to realize social benefits and combat readiness benefits. In this regard, continuously improving the quality of civil air defense engineering and presenting excellent peacetime and wartime functions have become the top priority. This study conducts in-depth investigation and analysis on multiple civil air defense engineering projects in Guizhou Province, and finds that there are still many problems, which will directly affect the overall quality of civil air defense engineering and deviate to a certain extent from the combat readiness requirements of civil air defense engineering. Therefore, it is necessary to sort out and summarize the relevant problems, and formulate scientific and feasible solutions through discussion and research.
Towards Carbon Neutrality: The Development and Technological Pathways from Green Buildings and Passive Buildings to Zero-Carbon Buildings
Against the backdrop of global efforts to address climate change and China's steadfast advancement of the "dual carbon" strategic goals, the low-carbon transition in the building sector has become critical to achieving carbon neutrality. This paper examines the evolutionary pathway from green buildings and passive buildings to zero-carbon buildings, systematically analyzing the inherent logic and progressive development of these three building concepts in terms of their sustainability objectives, core principles, and technological systems. The study reveals that green buildings establish a comprehensive philosophy of lifecycle environmental friendliness, passive buildings minimize building energy demand through state-of-the-art energy efficiency technologies, while zero-carbon buildings build upon the solid foundations of the former two by integrating renewable energy and carbon management to ultimately achieve net-zero carbon balance in building operation and even across the entire lifecycle. The paper further analyzes the key technological pathways underpinning this evolution, including passive-first strategies ranging from integrated design to ultra-low energy consumption, as well as active renewable energy supply systems progressing from energy efficiency enhancement to energy generation integration. Ultimately, the paper aims to provide a clear theoretical framework and practical roadmap for the building industry to systematically and incrementally progress toward the goal of carbon neutrality.
人防工程电气设计常见问题与对策
随着我国城市发展水平的不断提高，人防工程越来越受到国家的重视。人防工程不仅为解决城市发展空间受限、防灾减灾等方面提供了很好的途径，而且为提升整座城市的防护及生存能力，提供了重要支撑。人防工程中的电气专业为人防工程运行提供了动力来源，显得尤为重要。
不同冷却水温度对冷水机组能效的影响分析
本文分析了不同冷却水温度对冷水机组能效的影响。通过理论计算与数据分析，指出在标准工况下，降低冷却水供水温度可显著提高冷水机组的制冷性能系数（COP），每降低1℃供水温度，COP约提升2~3%。研究比较了不同冷却水温差和冷水机组类型（定频离心式、变频离心式、螺杆式）在部分负荷下的能效表现，合理控制冷却水温度有助于优化系统运行效率，降低制冷系统能耗，对实现建筑节能目标具有重要意义。
Social Determinants of Vaccine Hesitancy: Implications for Immunization Programmes
Vaccination remains one of the most successful public health interventions, yet vaccine hesitancy continues to threaten progress toward universal immunization. While early work on vaccine hesitancy focused on individual attitudes, a growing body of research highlights the central role of social determinants of health in shaping vaccination decisions. This narrative review synthesizes recent evidence on how socioeconomic position, education, health system access, cultural and political context, and the contemporary information environment interact to produce heterogeneous patterns of vaccine hesitancy and uptake. Building on widely used conceptual frameworks of hesitancy, the review emphasizes that doubts about vaccines are rarely the result of “misinformed individuals” alone. Rather, they are patterned along lines of poverty and marginalization, place of residence, historical experiences with state and health institutions, and differential exposure to (mis)information and trust-eroding events. The review concludes by outlining implications for practice: embedding immunization in broader social policy, strengthening primary health care and community engagement, investing in trust-building communication, and designing interventions that are locally tailored and structurally informed. Finally, it identifies priorities for future research, including theory-driven mixed-methods studies and more work in low- and middle-income settings.
Application Research of Deep Learning-Based Large-Scale Time Series Intelligent Analysis in Financial Risk Control
In recent years, with the acceleration of digital transformation in global financial markets, financial transaction data has shown exponential growth. Traditional time series analysis methods face problems such as complex feature engineering and insufficient pattern capture ability when processing high-dimensional and nonlinear financial data. This study proposes a three-dimensional hybrid deep learning model based on GCN-LSTM-CLUSTING to address this challenge. By integrating graph convolutional networks (GCN), long short-term memory networks (LSTM), and clustering analysis techniques, a multi-level and multi perspective financial risk assessment framework is constructed. This model innovatively integrates complex network relationships, time series dynamic features, and risk event pattern recognition among financial institutions, achieving full chain automation processing from data collection, feature extraction to risk decision-making. On the theoretical level, the model combines the basic theory of deep learning, time series analysis methods, and financial risk control theory to form a systematic modeling ability for nonlinear and high-dimensional financial data; On the technical level, the GCN module captures the correlation characteristics of market participants, the LSTM module processes non-stationary sequences such as asset size fluctuations, and the CLUSTING module implements clustering analysis of risk events, significantly improving the robustness of the model in complex market environments. The experimental results show that the 3D model has an accuracy improvement of 12% -18% compared to traditional methods in predicting abnormal fluctuations in asset size and identifying systemic risk transmission pathways. In the risk control scenario of oil product sales customers, the model improves the accuracy of identifying high-risk customers to 87.3% and reduces the false alarm rate to 5.2%; The application of quantitative stock selection strategy shows that the annualized return rate of the strategy reached 18.7%, an increase of 6.4 percentage points compared to traditional methods, and the maximum drawdown decreased by 8.3 percentage points; In the field of anti money laundering monitoring, the model has reduced the false positive rate of suspicious transactions from 28.7% to 6.3%, and reduced compliance labor costs by 4.2 million yuan per year. The study further validated the effectiveness of the model in handling credit imbalance data, improving classification accuracy to 91.5% through the Stacking algorithm and maintaining prediction stability of over 85% in stress tests. The practical application shows that the model not only improves the accuracy and efficiency of risk identification, but also provides a traceable and interpretable analysis path for decision makers through the visual feature map and dynamic risk scoring system, effectively balancing the technical progressiveness and regulatory transparency requirements. This study provides a complete theoretical framework and technological implementation path for the intelligent transformation of the financial risk control field. Its innovative three-dimensional architecture design, multimodal data fusion strategy, and dynamic risk assessment mechanism have important practical value for building a more robust intelligent risk control ecosystem. Future research will further explore the application of models in sub fields such as high-frequency trading warning and cross-border fund flow monitoring, while combining causal reasoning frameworks to enhance model interpretability and promote the development of intelligent risk control technology towards higher efficiency and transparency.
A Study on Innovation Strategies of Footwear Manufacturing Enterprises in the Current Era
This study investigates the role of innovation strategies in the sustainable development of small and medium-sized manufacturing enterprises (SMEs), with a focus on China's footwear industry. The sector faces significant challenges, including overcapacity, low value-added production, tariff barriers, rising labor costs, and shifting global supply chains. Innovation is posited as a critical pathway for SMEs to escape homogeneous competition and enhance value creation. Through a mixed-methods approach that combines case study analysis and industry data, this research demonstrates that innovation must be approached as a systemic strategy integrating organizational, technological, and cultural dimensions. The findings suggest that specialized digitalization, brand development, and cross-industry collaboration are essential for SMEs to achieve deterministic growth. This study contributes to the theoretical discourse on industrial innovation and offers practical insights for SMEs navigating contemporary market challenges.
大监督体系驱动下问题整改效能提升路径研究
本研究围绕大监督体系下问题整改效能提升展开系统性探讨。针对当前存在的思想认识偏差、协同机制不畅、制度标准化不足、数字化监督缺位及成果转化薄弱等五大现实问题，提出以党委为核心驱动，通过构建“1+2+5+N”效能提升模型，强化监督体系协同机制、完善制度标准化建设、创新数字化监督平台、打造专业化监督队伍、实施场景化专项监督等五维路径，形成闭环式监督整改长效机制，实现监督效能进阶跃升的实践方案。
基于“筋脉理论”的中医综合疗法改善帕金森病 患者运动功能的临床研究
目的 探讨基于中医“筋脉理论”构建的综合疗法对帕金森病（PD）患者运动功能的改 善效果，为临床治疗提供循证依据。方法 选取 2023 年 1 月—2024 年 6 月就诊的 60 例 PD 患者，采用随机数字表法分为观察组和对照组，每组 30 例。对照组采用常规西药治疗（左 旋多巴类药物），观察组在对照组基础上实施基于“筋脉理论”的中医综合疗法（针灸+中药 汤剂+穴位推拿），疗程均为 12 周。比较两组治疗前后统一帕金森病评分量表（UPDRS）运 动功能部分评分、改良 Hoehn-Yahr 分级及日常生活活动能力（ADL）评分，记录不良反应发 生情况。结果 治疗 12 周后，两组 UPDRS 运动功能评分均较治疗前显著降低（P＜0.05）， 且观察组评分[（26.35±5.72）分]低于对照组[（34.86±6.14）分]，差异有统计学意义（P ＜0.05）；观察组 Hoehn-Yahr 分级改善有效率（76.67%）高于对照组（53.33%），差异有统计 学意义（P＜0.05）；两组 ADL 评分均较治疗前升高（P＜0.05），观察组[（68.42±8.31）分] 高于对照组（[ 59.65±7.94）分]，差异有统计学意义（P＜0.05）。观察组不良反应发生率（6.67%） 低于对照组（23.33%），差异有统计学意义（P＜0.05）。结论 基于“筋脉理论”的中医综合 疗法可显著改善 PD 患者运动功能及日常生活活动能力，降低西药不良反应发生率，值得临 床推广应用。
A Survey Study on Mild Stress Among College Students: A Chronic Poison Affecting Mental Health
To clarify the current status of chronic stress and superficial stress among college students as well as the corresponding intervention strategies, this study adopted a multi-dimensional research approach combining questionnaire surveys (with 102 college student samples) and case analyses. The results showed that: Stress is prevalent among college students: 56.86% of them perceive stress, 71.57% experience long-term negative emotions, and stress leads to linked impairments in psychological, physiological, and behavioral aspects. The core stressors are anxiety about employment/further education (99.02%), academic competition (scoring 3.98, the highest), and family expectations (99.02%). At the cognitive level, there is a significant cognitive gap in superficial stress (97.06% have insufficient cognition) and weak stress management ability (only 19.61% consider stress bearable). A typical case (Student Li) further confirmed that the superposition of chronic stress (explicit academic load) and superficial stress (implicit cognitive burden) is likely to induce emotional problems. The study proposes a gradient intervention plan, emphasizing the need to improve the current situation by popularizing stress-related knowledge, enhancing stress management ability, and building a support system. This research provides data support and practical paths for mental health interventions among college students, and is of great significance for reducing the risk of mental illnesses.
城市发展指数报告全国第五的背后—济南市生态环境和可持续发展调研
2025 年 10 月《城市综合发展指数报告》将济南列为全国第五，引发外界对其生态环境的质疑。为理性评估，研究通过线上问卷调查（101 份有效样本）、线下访谈（5 位代表性市民）、抖音平台气象科普分析及近 3 年气候数据统计展开研究。结果显示，多数公众关注极端天气（54.45%“非常 / 比较关注”），认其对济南影响明显（64.35% 感知显著），社交媒体是预警主渠道（22.77% 依赖）但老年人存在 “数字鸿沟”；100% 受访者支持城市绿化创新，64.35% 对当前生态环境评价良好，62.37% 认可政府极端天气应对表现；近 3 年气候数据表明，降水量与气温、AQI 呈负相关。本次调研为济南生态环境治理与可持续发展提供了多维度依据。
Quantum Computing-Driven Optimization of Artificial Intelligence Algorithms and Cross-Domain Applications
With the rapid development of artificial intelligence (AI) technology, traditional computing methods have encountered bottlenecks when processing large-scale data and complex models. Quantum computing, as an emerging computational paradigm, is expected to surpass classical computers in certain computational tasks by virtue of its unique properties such as quantum superposition and quantum entanglement. The introduction of quantum computing provides new perspectives and solutions for optimizing AI algorithms, particularly in enhancing computational speed, optimizing search strategies, and improving model training. This paper explores the applications of quantum computing in the field of AI, focusing on how quantum computing drives the optimization of AI algorithms through the integration of quantum machine learning (QML) and quantum optimization algorithms. Firstly, this paper reviews the fundamental principles of quantum computing and analyzes its applications in AI, including quantum support vector machines, quantum neural networks, and the Quantum Approximate Optimization Algorithm (QAOA). Next, this paper delves into the cross-industry applications of quantum computing in sectors such as healthcare, finance, and autonomous driving, and discusses how quantum computing can drive technological innovations in these fields. Despite its significant theoretical advantages, quantum computing still faces several technical challenges in practical applications, such as the stability of quantum hardware and the adaptability of quantum algorithms. This paper also explores these challenges and proposes future development trends for the integration of quantum computing and AI. Finally, this paper concludes that with the continuous advancement of quantum computing technology, quantum computing will play an increasingly important role in the field of AI, especially in large-scale data analysis, intelligent decision optimization, and solving complex problems. It is anticipated that AI algorithm optimization driven by quantum computing will not only advance academic research but also bring disruptive innovations to industrial applications.
From Historical Roots to Sustainable Futures: Integrating Design Theory for Industry Sustainability
This study examines how historical design paradigms—Functionalism, Bauhaus, and Postmodernism—can inform contemporary sustainability practices in diverse cultural and economic contexts. By integrating these enduring principles with contemporary approaches such as systems thinking, design thinking, and circular design, the research develops an integrated framework aligned with the Triple Bottom Line (TBL) and the United Nations Sustainable Development Goals (SDGs). Using a qualitative multiple case study approach, five examples from architecture, consumer electronics, fashion, public space design, and community-based craft in developing countries are analyzed, revealing that historical design values remain relevant when adapted through modern mediating approaches. The findings demonstrate transformation pathways from theory to practice and provide actionable, context-specific recommendations for industry, education, and policy, including targeted incentives, cross-cultural design curricula, and locally adapted circular systems. This study highlights that sustainable design is an iterative process, requiring continuous feedback and cultural adaptability to achieve environmental, social, and economic benefits.
随着医疗服务需求的不断增长，传统就医流程中的排队时间长、流程繁琐等问题逐渐凸显，患者就医体验亟待提升。本文以医疗自助终端为研究对象，通过文献分析与案例调研，探讨了自助终端在优化就医流程、增强患者自主性、提升服务效率等方面的作用。研究发现，自助终端可有效覆盖挂号、缴费、报告打印、信息查询等核心就医环节，显著缩短患者非诊疗等待时间，并在服务公平性、疫情防控等场景中展现重要价值。针对自助终端存在的操作门槛、系统稳定性等问题，本文提出了优化界面设计、加强技术维护、完善配套服务等改进策略，旨在为医疗机构进一步推广应用自助终端、提升患者就医体验提供参考。
制造企业绩效与区域经济协同发展研究 —— 基于人力资源管理的整合视角
在 “中国制造 2025” 战略持续深化、“工业 4.0” 技术全面融入制造业生产环节的当下，制造企业早已不是过去被动跟随区域经济发展的 “参与者”，而是与区域经济深度绑定、共同成长的 “共生驱动者”—— 二者之间，“企业绩效” 是连接彼此的核心纽带，“人力资源管理（HRM）” 则是让这份关联落地的关键传导枢纽。 研究过程中我们发现，HRM 在这双向互动里扮演着 “转换器” 和 “放大器” 两个重要角色：一方面，HR 通过招聘配置、技能培训、绩效激励、薪酬调节、技术流动、文化辐射这六大具体动作，把企业里 “每小时多产 1 件产品”“不良率少 1%” 这样的微观效率，变成区域里 “多 100 个就业岗位”“多 2000 万税收”“行业技术水平提升” 这样的宏观收益；另一方面，区域经济发展带来的 “市场变大了”“园区基建变好了”“政府给了补贴” 等资源，也能通过 HR 的运作，变成企业里 “员工奖金变多了”“招到的技术人才更专业了”“生产本钱变低了” 这样的绩效动力。 最后，本文给出了 “政府精准出政策 × 企业 HR 系统升级 × 产业协同联动” 的三位一体实践方案，还配套了 HR 能直接用的绩效指标库、政府补贴怎么算的公式、数字化绩效监控看板的模板 —— 就是想把 “学术理论” 变成 “政策能用、企业能落地” 的工具，帮 HR 管理者优化绩效体系，也给政府制定产业政策提供实实在在的参考。
A fair and secure blockchain cross chain mechanism based on artificial intelligence
This paper focuses on the design of a fair and secure blockchain cross - chain mechanism based on artificial intelligence. With the continuous development of blockchain technology, the demand for cross - chain interaction has become increasingly prominent. However, traditional cross - chain mechanisms face challenges such as low security, lack of fairness, and high energy consumption. By introducing artificial intelligence technology, this paper proposes a new cross - chain mechanism that can effectively improve the security, fairness, and efficiency of cross - chain transactions. The mechanism uses artificial intelligence algorithms for cross - chain consensus, security risk prediction, and fairness optimization. Experimental results show that the proposed cross - chain mechanism has better performance in terms of security, fairness, and transaction efficiency compared with traditional methods, providing a new solution for the development of blockchain cross - chain technology.
医疗成像设备的能源之星测试：标准、要求与实施
本文系统且深入地剖析了医疗成像设备在能源之星（ENERGY STAR）计划中的测试标准、认证全流程、技术实施细节及行业影响。通过梳理能源之星医疗成像设备规范 1.0 版本的核心条款，结合国际电工委员会（IEC）相关测试标准，详细阐述了不同类型医疗成像设备（如 MRI、CT、超声设备）的能效指标、测试环境控制、数据采集方法及认证审核要求。同时，结合医疗机构实际运营场景，分析了节能技术应用的具体效果与实施难点，并通过多组典型案例验证了能源之星认证对降低医疗运营成本、减少碳排放的实际价值。本文旨在为医疗设备制造商提供从技术研发到认证落地的全流程指导，为医疗机构采购节能设备、优化能源管理提供决策依据，同时为行业能效标准的完善提供参考。
中国国有企业伦理型领导力对职务态度的影响研究
基于真诚守信、公正廉洁、以人为本、集体优先的伦理准则，伦理型领导模式必然对组织成员产生深刻影响。然而当前学术界针对伦理型领导与职业心理状态关联性的实证研究仍显不足，尤其在公有制企业领域的探索更为匮乏。在中国国民经济支柱的国有企业开展相关实证研究具有重要理论价值与实践意义。本文系统梳理伦理型领导理论与职业态度研究的学术脉络，构建理论模型探讨二者作用机制。以国有CP集团556份有效问卷为样本，运用Spss 25.0和Amos 26.0进行数据分析，通过结构方程模型验证研究假设并系统提出了相关管理建议。
浅谈教育部智慧中小学平台赋能基础教育发展的成果与优化
教育部智慧中小学平台的建设和应用，为中国基础教育数字化改造提供了核心支持[1]。本文聚焦平台发展脉络，梳理我国基础教育数字化领域的四大基础建设成果：泛在化学习环境构建的全域网络覆盖、数字教育优质资源体系拓展、教学融合应用机制创新和师生数字素养提升工程。重点阐述智慧中小学平台在架构升级（多端适配、智能运维）、资源整合（类型扩容至10大板块、总量达8.8万条）、应用推广（教师培训体系、试点示范工程）等方面的突破性进展[2]，及其在教育公平（弥合区域/阶层差异）、学生学习（资源多元化、自主能力培养）、教师教学（资源供给、模式创新）、家校协同（沟通效率、教育合力）四大维度的赋能价值[3]。研究基于平台使用现状，从功能迭代（互动模块、个性化推荐、学习分析）和家校合作深化（家长功能拓展、亲子活动设计）两方面提出优化路径，以期为平台后续发展提供参考[4]。
Comparative Analysis of Carbon Emissions in the Operation Phase of Different HVAC Systems
This paper provides a comparative analysis of the energy consumption and carbon emissions of four typical HVAC systems (water-cooled chiller + gas boiler, ground source heat pump, air source heat pump, and variable refrigerant flow units) in the operation phase. The carbon emission performance of different HVAC systems in operation is quantitatively evaluated by establishing a building carbon emission model and a carbon emission calculation method for HVAC systems, combined with specific calculation examples. The results of the study show that the ground source heat pump system has a clear advantage in terms of carbon emissions, followed by the variable refrigerant flow system, while the carbon emissions of the water-cooled chiller + gas boiler system are similar to those of the air source heat pump unit. This study provides theoretical basis and data support for the energy-saving and low-carbon selection of building HVAC systems.
A Tiered Framework for Copyright Ownership in AI-Generated Content​
The rapid proliferation of Artificial Intelligence Generated Content (AIGC) has precipitated an ontological crisis in copyright law, challenging its foundational anthropocentric principles. This study constructs a tripartite subjecthood framework to resolve attribution dilemmas across the autonomy spectrum of generative systems. Through doctrinal analysis of seminal cases (Naruto v. Slater, Feist v. Rural) and emergent legislation (EU AI Act, China’s Interim Measures), we demonstrate that granting AI legal personhood fundamentally conflicts with copyright’s utilitarian purpose. Crucially, we introduce a ​​Contribution Weight Matrix​​ (α·HI + β·AD + γ·UP) quantifying human-algorithmic collaboration in hybrid creation scenarios, validated against ISO/IEC 23053-2 documentation standards. Our legislative proposal advocates: Mandatory blockchain provenance registration(C2PA standard); Sui generis rights for transformative generativity; Developer strict liability-training data infringement. Empirical evidence from Vanity Fair v. AI Art Collective and Japan’s 2025 Copyright Act confirms the framework’s cross-jurisdictional viability. This research provides the first computational solution to AIGC copyright allocation while preserving creative incentives in the algorithmic age.
PDCA思维与5W2H方法论在工业质量管理领域的作用研究
在全球制造业竞争日益激烈和消费者质量需求不断升级的背景下，工业质量管理面临着诸多挑战。本文聚焦工业质量管理领域，旨在探究 PDCA 思维与 5W2H 方法论在该领域的作用。通过文献研究和案例分析法，剖析了 PDCA 思维和 5W2H 方法论的理论内涵，构建了二者在工业质量管理中的应用路径与协同机制。研究发现，PDCA 思维提供了系统化的持续改进路径，5W2H 方法论确保了质量管控细节的精准落地，二者协同应用能有效解决工业质量管理中的目标模糊、责任不清、改进低效等问题，对提升产品质量稳定性、降低质量成本具有重要意义。最后，结合 A 汽车制造企业的案例进行实证分析，验证了二者协同应用的有效性，并对未来发展进行了展望。​
本文以苏州某纺织公司员工通勤过程为研究对象，聚焦工伤与交通事故的情境下企业面临的经济成本构成。通过整合《工伤保险条例》《中华人民共和国民法典》等法律规范与司法实践案例，构建包含直接成本、间接成本与隐性成本三个维度的成本结构模型，深度分析双重赔偿机制对企业经营的影响。经过研究发现，在司机全责的交通事故工伤的案件中，企业因赔偿项目重叠、追偿机制不畅等问题导致的超额成本占比达到 23.6%。提出 “预防-处置-追偿” 全流程风控策略，包括员工上班通勤地图、组合保险等关键举措，为公司降低经济损失、实现合规管理并提供系统性解决方案。
Empirical Research on the Association Between Nasdaq Index Volatility and Depression Indices Across Different Age Groups in the U.S.
This study aims to explore the relationship between Nasdaq Index fluctuations and depression indices among different age groups in the United States. By analyzing various indicators of the Nasdaq Index and age-specific depression index data provided by the U.S. Centers for Disease Control and Prevention (CDC) from 2020 to 2024, the study reveals a significant age-heterogeneous association between stock market volatility and the mental health of different age groups. Specifically, the Nasdaq Index is generally negatively correlated with depression indices across all age groups, with the strength of the correlation increasing with age, and the strongest correlation observed in the 50-59 age group. Granger causality tests reveal a unidirectional causal effect of depression indices in the 30-39 age group on the Nasdaq Index, and a unidirectional causal effect of the Nasdaq Index on depression indices in the 70+ age group. LSTM model prediction results show that the model performs best in predicting depression indices for the 70-79 age group, while the explanatory power of the model is significantly reduced for the 80+ age group. The research findings emphasize the differential impact of economic fluctuations on the mental health of various age groups and provide a basis for developing targeted mental health interventions.