Journal of the European Academy Open University
type: channel
description: 《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
publisher: 拾华出版社
language: en
publication name: Journal of the European Academy Open University
issn: 3105-5850
items: Geopolitical Tensions, Currency Collapse, and Public Health: Protecting Civilians in Crisis Zones
items: Research on Intelligent Pipeline Robot Navigation and Defect Identification Based on Multi-Sensor Fusion
items: Global Fan Repatriation Marketing Strategy：A Feasibility Analysis for Subsidizing Overseas 22/7 Fans to Attend the 22/7 10th Anniversary Live Performance at Budokan
items: Research on Intelligent Analysis Framework for Time Series Data and Financial Risk Early Warning in the Digital Economy
items: https://ojs.shiharr.cn/index.php/eaou/article/view/1220
items: https://ojs.shiharr.cn/index.php/eaou/article/view/1219
items: Lonely Confined Spaces: A Social Stratification Study of Dwelling Duration in University Library Toilet Stalls
items: How Many Car Trips Is Chinese New Year Firecracker Use Equivalent To? A National PM2.5 Emission Perspective
items: The Sacramental Masquerade of Ave Mujica: An Exegetical Investigation of Latin Nomenclature and Sanctified Personaein the Proto-Canonical Mythos of a Post-Secular Gothic Anime
items: From the stage to the vegetable garden: Mujica's Mutsumi and her cucumber timing experiment
items: Research on Mechanism Optimization for Fact Verification in Financial Institution Inspections from a Collaborative Governance Perspective: Focusing on the “Face-to-Face Meeting Communication” Model
items: Research on Anomaly Detection and Root Cause Analysis of Performance Degradation in Photovoltaic Power Stations
items: Optimization Research on Hospital Informatization Construction Based on 2023 Medical Resource Statistical Data
items: A Study of Integrated Traditional Chinese Medicine (TCM) Intervention for Diabetic Peripheral Neuropathy Rehabilitation: Based on the Spleen-Kidney Correlation Theory
items: 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
items: Research on Power Regulation Characteristics and Optimisation Strategies for Photovoltaic Power Stations under Low Irradiance Conditions Based on Operational Data Mining
items: The Necessity of Constructing Civil Air Defense Engineering in Residential Communities
items: The diversified development of pension financial products: a bank-centered exploration
items: An Analysis of Common Problems and Countermeasures in the Teaching of Civil Air Defense Engineering Architectural Design
items: Research on the Mechanism Test and Spatial Optimization of Digital Economy driving the Improvement of New Quality Productivity in Hebei Province
items: A Brief Discussion on Construction Technology and Quality Control of Civil Air Defense Engineering
items: Towards Carbon Neutrality: The Development and Technological Pathways from Green Buildings and Passive Buildings to Zero-Carbon Buildings
items: 人防工程电气设计常见问题与对策
items: 不同冷却水温度对冷水机组能效的影响分析
items: Social Determinants of Vaccine Hesitancy: Implications for Immunization Programmes
items: Application Research of Deep Learning-Based Large-Scale Time Series Intelligent Analysis in Financial Risk Control
items: A Study on Innovation Strategies of Footwear Manufacturing Enterprises in the Current Era
items: 大监督体系驱动下问题整改效能提升路径研究
items: 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
items: A Survey Study on Mild Stress Among College Students: A Chronic Poison Affecting Mental Health

Geopolitical Tensions, Currency Collapse, and Public Health: Protecting Civilians in Crisis Zones
type: item
description: Recent geopolitical tensions in the Middle East have triggered cascading crises that extend far beyond security: severe currency depreciation, hyperinflation, shortages of essential medicines and food, and a steady erosion of population health and health system capacity. For ordinary civilians—especially children, pregnant women, older adults, and those with chronic illnesses—these shocks are not abstract economic indicators but daily threats to survival and dignity. Sharp currency devaluation has rendered savings nearly worthless, pushing basic goods and healthcare out of reach for millions. As import-dependent health systems face disrupted supply chains, medications, diagnostics, and medical consumables become scarce or unaffordable. Inflation further reduces real household income, worsening malnutrition, mental distress, and preventable mortality. Such socioeconomic collapse undermines the foundations of universal health coverage and global health security, turning economic stress into a public health emergency. From a health policy perspective, crisis-affected populations deserve consistent protection: unimpeded access to humanitarian and medical assistance, safeguarding of critical health infrastructure, and policy responses that prioritize equity and humanitarian principles. Evidence repeatedly shows that sanctions, conflict, and economic instability disproportionately harm vulnerable groups and generate long-term public health scars. The international health community has a responsibility to advocate for civilian protection, evidence-based humanitarian response, and peaceful resolution of disputes. Health is not a casualty of geopolitics; it is a universal right that must be upheld even in the most challenging contexts.
subject: Articles
  topic: section
creator: Shengran Zhao
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2026.v2i3.1271

Research on Intelligent Pipeline Robot Navigation and Defect Identification Based on Multi-Sensor Fusion
type: item
description: With the increasing complexity of pipeline inspection and maintenance requirements, traditional single sensor methods have exposed significant technical bottlenecks in dealing with changing pipeline environments. This study proposes an intelligent pipeline robot navigation and defect recognition framework based on multi-sensor fusion. By integrating the complementary characteristics of lidar, visual sensors, and inertial measurement units (IMUs), a laser vision inertial multimodal data fusion system is constructed. The system adopts a hierarchical progressive architecture, with the bottom layer achieving spatiotemporal alignment and dynamic compensation of multi-source data through extended Kalman filtering. The middle layer uses improved ICP algorithm and visual SLAM technology to complete environmental modeling and pose estimation. The top layer is based on lightweight convolutional neural networks to achieve accurate recognition of defect types and positions. The experiment shows that the proposed method achieves centimeter level positioning accuracy and 92.7% defect recognition accuracy in complex pipeline scenes, significantly improving the system's environmental adaptability and detection reliability under interference such as lighting changes and metal reflections compared to traditional methods. At the level of multimodal data fusion, an innovative nonlinear optimization framework based on UKF has been proposed, which achieves collaborative optimization of pose estimation and feature extraction by unifying the state vectors of modeling navigation and defect recognition tasks. Experimental verification shows that the framework can control the cumulative positioning error within ± 8cm in typical complex scenarios such as pipeline bends and branch nodes, and improve system robustness by more than 40% through multi-sensor redundancy design. In response to the detection requirements of different pipe diameters, the system successfully verified its universality wi…
subject: Articles
  topic: section
subject: multi-sensor fusion
  topic: keywords
subject: Intelligent pipeline robot
  topic: keywords
subject: Navigation and positioning
  topic: keywords
subject: Defect identification
  topic: keywords
subject: UKF nonlinear optimization
  topic: keywords
subject: Laser vision inertial fusion
  topic: keywords
creator: Weijian Huang
creator: Rongqi Zhang
creator: Haopeng Lin
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1232

Global Fan Repatriation Marketing Strategy：A Feasibility Analysis for Subsidizing Overseas 22/7 Fans to Attend the 22/7 10th Anniversary Live Performance at Budokan
type: item
description: As Japanese idol group 22/7 approaches its tenth anniversary with a stated aspiration to perform at Nippon Budokan, questions of audience density and symbolic scale become central. This article evaluates a speculative but numerically grounded proposal: reimbursing international fans for airfare and accommodation to ensure a fully realized Budokan event. Drawing on publicly observable fan distribution metrics and recent overseas live attendance figures, the study models a scenario in which overseas mobilization guarantees capacity fulfillment.
subject: Articles
  topic: section
subject: Air Transportation
  topic: keywords
subject: Popular Culture
  topic: keywords
subject: Marketing
  topic: keywords
subject: Japanese Pop Culture
  topic: keywords
creator: Andy Ljd
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1231

Research on Intelligent Analysis Framework for Time Series Data and Financial Risk Early Warning in the Digital Economy
type: item
description: With the rapid development of the digital economy, the scale and complexity of financial market transactions have grown exponentially. Traditional risk warning models based on static data are no longer able to meet the needs of dynamic risk identification. This study addresses the challenge of dynamic correlation analysis of time-series data and innovatively constructs an intelligent analysis framework that integrates spatiotemporal attention mechanism and time-series graph neural network, achieving unified modeling and real-time warning of market risk, credit risk, and liquidity risk. This framework captures key time nodes and risk transmission paths through spatiotemporal attention mechanisms, and combines time-series graph neural networks to analyze dynamic relationships between financial institutions, effectively solving the problem of information fragmentation in traditional methods for modeling multidimensional time-series data. The introduction of CRITIC objective weighting method to optimize multi model fusion strategy, combined with ARIMA-GARCH combination model and deep learning algorithm, significantly improved the cross scale correlation analysis ability between high-frequency trading data and macroeconomic indicators. The research has broken through the limitations of traditional models at the methodological level, achieving accurate characterization of risk contagion networks through dynamic weight allocation and real-time correlation analysis. Real time test data shows that the response delay of the framework in abnormal transaction detection is reduced by 96% compared to traditional systems, the accuracy of risk event warning is 92.4%, and the warning signal is sent out on average 14.3 minutes in advance. In the bond default warning task, the AUC value of the model reached 0.91 in the 9 months before default, which was 0.14 higher than the traditional logistic regression model, and the recall rate increased to 87%, effectively reducing the risk of un…
subject: Articles
  topic: section
subject: digital economy
  topic: keywords
subject: Time series data analysis
  topic: keywords
subject: Financial risk warning
  topic: keywords
subject: Deep learning
  topic: keywords
subject: Graph neural network
  topic: keywords
subject: Multi source data fusion
  topic: keywords
creator: Weijian Huang
creator: Haopeng Lin
creator: Shihan Zhang
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1230

https://ojs.shiharr.cn/index.php/eaou/article/view/1220
type: item
title: Study on the Appropriate Application of Traditional Chinese Medicine Formulas in Integrated Traditional Chinese and Western Medicine Diagnosis and Treatment Scenarios-Taking Common Chronic Diseases (Hypertension/Diabetes/Chronic Gastritis) as an Example
description: Objective: Based on a big data set of 84,294 traditional Chinese medicine (TCM) prescriptions, a four-dimensional matching model (Fitting Model, FM) integrating "syndrome type-target point-functionality-ingredient" was constructed. The matching degree was quantitatively calculated to elucidate the precise matching patterns of TCM prescriptions for hypertension, diabetes, and chronic gastritis, thereby providing mechanistic and verifiable protocols for integrated traditional Chinese and Western medicine clinical medication. Methods: 1. Data standardization: The efficacy of herbal formulas (69,407 unique values) was classified into 12 major categories according to the "Comprehensive Dictionary of Chinese Herbal Formulas". Active ingredients F = α × J + β × R + γ × SJRSα/β/γwere extracted from the TCMSP database by associating drug components, while Western drug targets were determined by referencing DrugBank. Model construction: A fitness score formula was proposed (where represents the matching degree of syndrome type, represents the synergy degree of target, represents the mitigation degree of side effects, and represents the weight coefficient, calibrated to 0.35/0.40/0.25 via AHP hierarchical analysis method). 3. Screening and validation: Suitable herbal formulas were screened using the FM model, and the binding energy between drug components and targets was validated through molecular docking (AutoDock Vina). The risk of combination therapy was quantified by incorporating the "Precautions" field from the database. Results: A total of 328 high- F ≥ 8.0F均值 = 8.6F均值 = 8.4F均值 = 8.71RriskRrisk ≥ 8.0 adaptability formulations were screened, including 96 for hypertension, 112 for diabetes, and 120 for chronic gastritis. Molecular docking validation demonstrated that the binding energies of core drug components to targets were all <-5.0 kcal/mol (e.g., Uncaria rhynchophylla isuncaria alkaloid-CACNA1C: -7.2 kcal/mol). The combination risk scoring indicated that high-risk …
subject: Articles
  topic: section
subject: Integrated traditional Chinese and Western medicine
  topic: keywords
subject: Chinese herbal formulations;\
  topic: keywords
subject: Chronic diseases
  topic: keywords
subject: Four-dimensional compatibility model
  topic: keywords
subject: Compatibility formula
  topic: keywords
subject: Molecular docking validation
  topic: keywords
creator: Lehao Han
creator: Peilin Han
creator: Shengran Zhao
creator: Fangwei xue
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1220

https://ojs.shiharr.cn/index.php/eaou/article/view/1219
type: item
title: Study on the Adaptability of Traditional Chinese Medicine Prescriptions under Integrated Traditional Chinese and Western Medicine: A Case Study of Common Chronic Diseases (Hypertension, Diabetes Mellitus, Chronic Gastritis)
description: Based on a TCM prescription database containing 81,219 valid records, this study focused on three clinically high-incidence chronic diseases (hypertension, diabetes mellitus, and chronic gastritis), constructed an evaluation system and quantitative model for the adaptability of TCM prescriptions in the diagnosis and treatment scenario of integrated traditional Chinese and Western medicine (TCM-WM), and systematically explored the adaptive application rules and characteristics of TCM prescriptions in this diagnosis and treatment mode. Combining text mining technology, statistical analysis and model verification methods, the study conducted an in-depth analysis from three core dimensions: prescription source distribution, drug composition characteristics, and quantitative adaptability score. The results showed that there were 4,428 hypertension-related prescriptions with an average adaptability score of 4.15; 1,659 diabetes-related prescriptions with an average adaptability score of 3.92; and 2,885 chronic gastritis-related prescriptions with an average adaptability score of 3.83. A significant positive correlation was found between the number of drugs and the adaptability score (r=0.118, p<0.001), and there were extremely significant statistical differences in the adaptability scores of TCM prescriptions for different chronic diseases (F=58.974, p<0.001). The research results can provide solid data support and scientific methodological reference for the precise screening and standardized application of TCM prescriptions in integrated TCM-WM diagnosis and treatment, and offer new ideas for the optimization of integrated TCM-WM treatment regimens for chronic diseases.
subject: Articles
  topic: section
subject: Integrated traditional Chinese and Western medicine
  topic: keywords
subject: TCM prescriptions
  topic: keywords
subject: Adaptability evaluation
  topic: keywords
subject: Chronic diseases
  topic: keywords
subject: Hypertension
  topic: keywords
subject: Diabetes mellitus
  topic: keywords
subject: Chronic gastritis
  topic: keywords
creator: Lehao Han
creator: Peilin Han
creator: Shengran Zhao
creator: Fangwei xue
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1219

Lonely Confined Spaces: A Social Stratification Study of Dwelling Duration in University Library Toilet Stalls
type: item
description: Background: Toilet stalls serve multiple functions for students: avoiding acquaintances, scrolling phones, and escaping academic pressure. Existing research rarely examines dwelling durations among status groups. Methods: 30‑day fieldwork in six male stalls of a “Double First‑Class” university library (n=327). Findings: (1) Doctoral students' average dwelling (8.7 min) > master's (4.2) > undergrad (2.3); (2) Backpack +3.5 min; (3) Video audio correlates with duration (r=0.67, p<0.05). Conclusion: Toilet stalls are micro‑fields for status performance and pressure relief. Future research should examine squatting posture vs. publication counts.
subject: Articles
  topic: section
subject: Toilet behavior
  topic: keywords
subject: dwelling duration
  topic: keywords
subject: social stratification
  topic: keywords
subject: academic pressure
  topic: keywords
creator: Mr. Green
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1196

How Many Car Trips Is Chinese New Year Firecracker Use Equivalent To? A National PM2.5 Emission Perspective
type: item
description: This study develops a transparent, stepwise estimation framework to quantify nationwide PM2.5 emissions from minimal firecracker use during the Chinese New Year. Under conservative assumptions we estimate approximately 1,014 tons of PM2.5 nationwide. This represents roughly 1–2% of China’s annual vehicular particulate emissions. The results illustrate if you set off firecrackers during the Chinese New Year, you would need to give up approximately 100–200 kilometers of car travel to compensate for the environmental “sin” you have committed. The results indicate that setting off firecrackers during the Chinese New Year is roughly equivalent to 100–200 kilometers of car travel, meaning that you would need to forgo that distance to compensate for the resulting environmental impact.
subject: Articles
  topic: section
subject: Chinese New Year
  topic: keywords
subject: firecrackers
  topic: keywords
subject: PM2.5 emissions
  topic: keywords
subject: emission estimation
  topic: keywords
subject: particulate pollution
  topic: keywords
subject: vehicular emissions
  topic: keywords
creator: Zechen Wang
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1206

The Sacramental Masquerade of Ave Mujica: An Exegetical Investigation of Latin Nomenclature and Sanctified Personaein the Proto-Canonical Mythos of a Post-Secular Gothic Anime
type: item
description: This study undertakes a solemn yet deliberately absurde exegetical investigation of BanG Dream! Ave Mujica, a fictional Gothic metal ensemble from contemporary Japanese animation, read here as a proto-canonical mythos with latent theological resonances. Employing the hermeneutical lens of Latinate nomenclature, symbolic anthropology, and historical theological tropes, this paper examines how the five personae — Oblivionis, Mortis, Doloris, Timoris, and Amoris — function as theological signifiers analogous to Christian motifs of oblivion and kenosis, death and transfiguration, sorrow and lamentation, reverential fear, and sacrificial love. Drawing upon canonical and Christian mystical sources and patristic hagiography, we argue that the seemingly secular and aesthetic conventions of Ave Mujica enact a sacramental masquerade through which affective identities are dramatized. Within this framework even the scripted conceit that the members awaken like dolls under moonlight acquires an apocalyptic gloss consonant with resurrection symbolism. Ultimately, the paper proposes that Ave Mujica — though never intended as doctrinal text — yields a mythic theology of affective experience, wherein secular performative spectacle and ancient theological archetypes intersect in a post-secular cultural liturgy that both mirrors and mocks the classical interpretation of sacred personae.
subject: Articles
  topic: section
subject: Ave Mujica, Latin nomenclature, theological symbolism, Christian motifs, apophatic tradition, symbolic anthropology, post-secular mythos, affective identity, Gothic animation
  topic: keywords
creator: Haiyong He
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1199

From the stage to the vegetable garden: Mujica's Mutsumi and her cucumber timing experiment
type: item
description: This article studies the process of Mutsumi planting cucumbers in actual combat and using the timing prediction model to predict its growth trend in a semi-serious way. Although it comes from the animation BanG Dream! The setting of Ave Mujica, this article introduces real style background, timing prediction modelling and random generation of simulation data, and shows the training process, error evaluation and visualisation output for follow-up research or fan creation reference.
subject: Articles
  topic: section
subject: Time sequence prediction; analogue data generation; LSTM; cucumber growth; Ave Mujica; Mutsumi
  topic: keywords
creator: zihao wei
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-07
publication date: 2026-03-07
doi: 10.71411/eaou.2025.v1i1.1193

Research on Mechanism Optimization for Fact Verification in Financial Institution Inspections from a Collaborative Governance Perspective: Focusing on the “Face-to-Face Meeting Communication” Model
type: item
description: Within the supervisory inspection framework of financial institutions, the fact verification phase constitutes the critical nexus between problem identification and corrective action implementation. Conventional unidirectional and fragmented verification models are susceptible to information distortion, accountability ambiguity, and rectification delays. Grounded in collaborative governance theory and contextualized within the current paradigm of enhanced financial regulation and risk mitigation, this paper conducts an in-depth examination of a collaborative verification mechanism. This mechanism is centered on "face-to-face meeting communication" and integrates three key stakeholders: the inspection department, the inspected unit, and the issue closure department (typically the responsible business line management unit). It emphasizes the concurrent determination of a rectification plan during the fact verification process. This approach aims to foster greater acceptance and cooperation from the inspected unit and to preemptively mitigate delays and disputes during the issue closure phase that often arise from subjective interpretive differences. Through theoretical analysis, mechanism design, case application, and the integration of structured comparative and analytical tables (Tables 1-6), this paper substantiates the model's practical value in enhancing regulatory efficacy, strengthening internal controls, and promoting a compliance culture. It also offers insights for optimizing regulatory policies and institutional internal control procedures, supported by an expanded reference list of 30 sources aligned with international scholarly standards.
subject: Articles
  topic: section
subject: Financial Institution Inspection
  topic: keywords
subject: Fact Verification
  topic: keywords
subject: Face-to-Face Meeting
  topic: keywords
subject: Collaborative Governance
  topic: keywords
subject: Rectification Plan
  topic: keywords
subject: Issue Closure
  topic: keywords
creator: Guojing Li
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-07
publication date: 2026-02-07
doi: 10.71411/eaou.2026.v2i1.1178

Research on Anomaly Detection and Root Cause Analysis of Performance Degradation in Photovoltaic Power Stations
type: item
description: To address abnormal phenomena such as sudden power drops during photovoltaic power plant operation, this study proposes a data-driven anomaly detection and root cause analysis method to enhance system maintenance efficiency and power generation benefits. Utilising 5-minute operational data from a 50kW photovoltaic power plant, combined with NASA meteorological data, an integrated anomaly detection framework and multi-dimensional feature engineering system were constructed. K-Means++ clustering and LightGBM classification models were employed for pattern recognition and root cause tracing of detected anomalies. Experiments demonstrate: 1) The anomaly detection framework achieves an F1 score of 0.87; 2) Three distinct power loss patterns and their distribution ratios are identified; 3) The LightGBM root cause classification model attains an average accuracy of 88%. The proposed method effectively diagnoses the root causes of performance degradation in photovoltaic systems, providing both theoretical foundations and technical support for implementing predictive maintenance.
subject: Articles
  topic: section
subject: photovoltaic power generation
  topic: keywords
subject: anomaly detection
  topic: keywords
subject: performance degradation
  topic: keywords
subject: root cause analysis
  topic: keywords
subject: preventive maintenance
  topic: keywords
creator: Geyang Liu
creator: Zhaoxi Zhao
creator: Qiuhe Feng
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-07
publication date: 2026-02-07
doi: 10.71411/eaou.2026.v2i1.1177

Optimization Research on Hospital Informatization Construction Based on 2023 Medical Resource Statistical Data
type: item
description: Based on 15 national medical and health institution statistical documents in 2023, this study systematically sorts out core indicators such as the number of hospitals, bed capacity grouping, and distribution of primary-level institutions. Adopting quantitative analysis methods, it reveals the coupling correlation mechanism between medical resource allocation and hospital informatization construction. The study introduces the Theil index to measure the regional balance of medical resources, and combined with 5 types of core data tables, clarifies the core characteristics of China's medical resources: "small and medium-sized hospitals as the mainstay, uneven regional distribution, and weak foundation of primary-level institutions", as well as their constraints on hospital informatization construction. By constructing a "resource-demand-investment" three-dimensional matching model, a targeted hierarchical and classified informatization construction path is proposed, providing an optimized scheme with both data support and practical feasibility to solve the current practical dilemmas of "investment imbalance, supply-demand mismatch, and data fragmentation" in hospital informatization construction.
subject: Articles
  topic: section
subject: Hospital Informatization Construction
  topic: keywords
subject: Medical Resource Allocation
  topic: keywords
subject: Hierarchical Construction
  topic: keywords
subject: Regional Balance
  topic: keywords
subject: Data Interoperability
  topic: keywords
creator: Pan Qing
creator: Peilin Han
creator: Shengran Zhao
creator: Fangwei xue
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-07
publication date: 2026-02-07
doi: 10.71411/eaou.2026.v2i1.1176

A Study of Integrated Traditional Chinese Medicine (TCM) Intervention for Diabetic Peripheral Neuropathy Rehabilitation: Based on the Spleen-Kidney Correlation Theory
type: item
description: This study thoroughly explores the practical application value and efficacy of a comprehensive treatment regimen based on the traditional Chinese medicine (TCM) theory of "Spleen-Kidney Correlation" in the rehabilitation process of diabetic peripheral neuropathy (DPN). By systematically reviewing the historical origins, core connotations, and significant position of the "Spleen-Kidney Correlation" theory within the TCM theoretical framework, and integrating modern medical understanding of the pathogenesis of DPN, this study further analyzes the pathological characteristics of the disease from a TCM perspective. It proposes a comprehensive treatment strategy primarily guided by the principles of strengthening the spleen and kidney, as well as promoting collateral circulation and activating blood flow. During the implementation of the study, we rigorously designed a scientific research framework, established clear inclusion and exclusion criteria for study subjects, and adopted a randomized controlled trial method to ensure the reliability and comparability of the data. By systematically observing the physiological indicators, symptom improvement, and changes in quality of life of patients after receiving the comprehensive Traditional Chinese Medicine (TCM) treatment regimen, we comprehensively evaluated the clinical efficacy of this protocol.
subject: Articles
  topic: section
subject: Diabetic Peripheral Neuropathy (DPN)
  topic: keywords
subject: Spleen-Kidney Correlation Theory
  topic: keywords
subject: Integrated Traditional Chinese Medicine (TCM) Intervention
  topic: keywords
subject: Strengthening Spleen and Tonifying Kidney
  topic: keywords
subject: Promoting Blood Circulation and Unblocking Collaterals
  topic: keywords
creator: Han Lehao
creator: Fangwei xue
rights: Copyright (c) 2026 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-07
publication date: 2026-02-07
doi: 10.71411/eaou.2026.v2i1.1175

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
type: item
description: 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.
subject: Articles
  topic: section
subject: Rainy weather
  topic: keywords
subject: Maize mold
  topic: keywords
subject: Lung infection
  topic: keywords
subject: Farmers' health
  topic: keywords
subject: Environmental exposure
  topic: keywords
subject: Mold spores
  topic: keywords
subject: Public health
  topic: keywords
creator: fangwei xue
creator: Shengran Zhao
creator: Minghui Gao
creator: Han Peilin Han
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.967

Research on Power Regulation Characteristics and Optimisation Strategies for Photovoltaic Power Stations under Low Irradiance Conditions Based on Operational Data Mining
type: item
description: 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.
subject: Articles
  topic: section
creator: Zhaoxi Zhao
creator: Qiuhe Feng
creator: Geyang Liu
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1011

The Necessity of Constructing Civil Air Defense Engineering in Residential Communities
type: item
description: 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.
subject: Articles
  topic: section
creator: 王彬
creator: 明月
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1010

The diversified development of pension financial products: a bank-centered exploration
type: item
description: 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.
subject: Articles
  topic: section
creator: Li Guojing
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1009

An Analysis of Common Problems and Countermeasures in the Teaching of Civil Air Defense Engineering Architectural Design
type: item
description: 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.
subject: Articles
  topic: section
creator: 王彬
creator: 石琴琴
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1008

Research on the Mechanism Test and Spatial Optimization of Digital Economy driving the Improvement of New Quality Productivity in Hebei Province
type: item
description: 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.
subject: Articles
  topic: section
creator: Wang Yi
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1007

A Brief Discussion on Construction Technology and Quality Control of Civil Air Defense Engineering
type: item
description: 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.
subject: Articles
  topic: section
creator: 王彬
creator: 占兰兰
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1006

Towards Carbon Neutrality: The Development and Technological Pathways from Green Buildings and Passive Buildings to Zero-Carbon Buildings
type: item
description: 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.
subject: Articles
  topic: section
creator: Guo Peng
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1005

人防工程电气设计常见问题与对策
type: item
description: 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。
subject: Articles
  topic: section
creator: 王彬
creator: 张艳
creator: 孙蕾
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-22
publication date: 2025-12-22
doi: 10.71411/eaou.2025.v1i5.1004

不同冷却水温度对冷水机组能效的影响分析
type: item
description: 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。
subject: Articles
  topic: section
creator: 郭鹏
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.896

Social Determinants of Vaccine Hesitancy: Implications for Immunization Programmes
type: item
description: 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.
subject: Articles
  topic: section
creator: Xindong Chang
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.895

Application Research of Deep Learning-Based Large-Scale Time Series Intelligent Analysis in Financial Risk Control
type: item
description: 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 th…
subject: Articles
  topic: section
creator: Weijian Huang
creator: Xiaodi Guo
creator: Jianmiao Jin
creator: ShunXu
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.894

A Study on Innovation Strategies of Footwear Manufacturing Enterprises in the Current Era
type: item
description: 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.
subject: Articles
  topic: section
creator: Zheng-wei ZHU
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.893

大监督体系驱动下问题整改效能提升路径研究
type: item
description: 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。
subject: Articles
  topic: section
creator: 国景 李
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.892

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
type: item
description: 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。
subject: Articles
  topic: section
creator: 乐豪 韩
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.891

A Survey Study on Mild Stress Among College Students: A Chronic Poison Affecting Mental Health
type: item
description: 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.
subject: Articles
  topic: section
creator: 薛方伟
creator: 韩佩霖
creator: 徐世冠
creator: 李琳
rights: Copyright (c) 2025 Journal of the European Academy Open University https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-23
publication date: 2025-11-23
doi: 10.71411/eaou.2025.v1i4.804