European Journal of Public Health and Environmental Research
type: channel
description: European Journal of Public Health and Environmental Research (EJPHER) is an international, Refereed, double-blind peer-reviewed, open-access journal dedicated to public health and environmental research. It publishes high-quality studies that contribute to the understanding and improvement of global health policies, environmental sustainability, and the interconnections between human health and ecological systems. Key topics include epidemiology, healthcare management, environmental pollution, climate change, and sustainable development.
publisher: Pinnacle Academic Press
language: en
publication name: European Journal of Public Health and Environmental Research
issn: 3079-8671
items: CRISPR-Based Gene Therapy for Type 2 Diabetic Neuropathy
items: Microplastic Accumulation in Human Placental Tissues: A Multi-Center Epidemiological Study on Birth Outcomes
items: Long-term Exposure to Ambient PM2.5 and the Progression of Non-Alcoholic Fatty Liver Disease (NAFLD): A Population-Based Cohort Study
items: Health Co-benefits of the Transition to Clean Energy: A Health Impact Assessment (HIA) of Decarbonization Policies in Industrial Hubs
items: Evaluating Occupational Heat Stress and Kidney Function Among Workers in the Expanding Renewable Energy Sector
items: Disproportionate Exposure to Industrial Noise Pollution: An Environmental Justice Analysis of Low-Income Housing Zones
items: Bridging the Gap: Integrating Soil Microbiome Health into Global Antimicrobial Resistance (AMR) Surveillance Frameworks
items: Telemedicine Adoption and Equity: Evaluating the Impact of Digital Infrastructure on Rural Healthcare Delivery in Post-Pandemic Eras
items: Predicting the Range Expansion of Vector-Borne Diseases in Southern Europe Under Accelerated Warming Scenarios
items: Patient violence and and antibiotic abuse: Evidence from China
items: Preparation of Wear-Resistant and Antibacterial TiN/GO Coating for Knee Pads by Arc Deposition Technology in Seawater Environment
items: Alleviating the Caregiver Burden: AI as a Systemic Intervention
items: Research Progress on Acupoint Catgut Embedding Therapy for Obesity
items: AI-Driven Strategies for Precision Public Health Interventions
items: Dynamics of Urban Atmospheric Conditions under Emission Mitigation Pathways
items: Public Attitudes Towards Pre-Cooked Food: A Multivariate Survey on Trust, Food Security, Health and Willingness to Eat Pre-Cooked Food in Daily Life
items: Chemical Stabilizers for Prolonged Enzyme Inhibition in Soils: Plant Nutrition and Agricultural Optimization
items: High-Efficiency Urease Inhibitors from Copper Coordination Complexes: Biotechnology and Agricultural Applications
items: Two-Dimensional Metal-Organic Frameworks for Agricultural Applications: Novel Copper Coordination Polymer Design
items: The Dual Role of Carbon Sink Protected Areas in Biodiversity Conservation and Carbon Reduction—Take Zhanjiang Mangrove National Nature Reserve as an Example
items: Sustainable Urease Inhibition in Agriculture: Advances in Chemical Stabilizers and Copper Coordination Polymers
items: Advances in Copper Coordination Polymers and Chemical Stabilizers for Enhanced Urease Inhibition in Agricultural Soils
items: Sports Science Research on Athletic Training Methodologies and Performance Enhancement
items: Physical Therapy Rehabilitation Techniques Incorporating Classical Ballet Movement Therapeutic Principles
items: Research on the Application Potential of Biomass Particles Extracted from Moldy Orange Peels as a Novel Adsorption Material
items: Research on Data-Driven Environmental Policy in Water Resource Management
items: Preliminary Structural Studies of the Kinetoplastida Target Enzyme and Foundation for Subsequent Studies
items: The Role of Light Therapy in Mental Health and Depression
items: The Influence of Genetic and Environmental Factors on the Occurrence and Development of Blood Diseases
items: Innovative Application of Multimodal Medical Imaging in Complex Lesion Diagnosis Based on Deep Fusion Networks

CRISPR-Based Gene Therapy for Type 2 Diabetic Neuropathy
type: item
description: Type 2 diabetic neuropathy represents the most prevalent and debilitating chronic complication associated with diabetes mellitus. The condition is fundamentally characterized by a complex interplay of chronic hyperglycemia, lipid metabolism disorders, severe oxidative stress, systemic inflammation, mitochondrial dysfunction, Schwann cell degradation, neurovascular disease, and abnormal insulin signaling pathways. Traditional therapeutic interventions primarily focus on basic blood sugar control, analgesia, neurotrophic therapy, and improving circulation; however, these conventional approaches fail to significantly suppress the underlying neurological damage or reverse disease progression. Emerging as a revolutionary gene-editing tool, CRISPR technology offers unprecedented advantages, including robust targeting capabilities, high programmability, and flexible intervention strategies. These attributes provide highly promising research perspectives for the precise and curative treatment of type 2 diabetic neuropathy. This comprehensive review systematically examines the potential application value of CRISPR technology in managing oxidative stress, inhibiting inflammatory signaling cascades, repairing Schwann cell damage, restoring myelin sheaths, increasing neurotrophic support, correcting metabolic abnormalities, and remodeling neurovascular structures based on the primary pathogenesis of the disease. Furthermore, we critically discuss the current technological bottlenecks hindering clinical translation, specifically focusing on in vivo delivery challenges, in vitro editing and reinfusion limitations, and the complexities of combination therapies. Ultimately, while CRISPR stands as a top-performing technology for the gene therapy of diabetic neuropathies, further critical breakthroughs must be achieved in off-target effect mitigation, accurate delivery mechanisms, long-term safety, and multi-target synergistic control to successfully advance these applications from b…
subject: Article
  topic: section
subject: CRISPR
  topic: keywords
subject: type 2 diabetes
  topic: keywords
subject: diabetic neuropathy
  topic: keywords
subject: gene therapy
  topic: keywords
subject: schwann cells
  topic: keywords
creator: Xinyu Wen
rights: Copyright (c) 2026 Xinyu Wen (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-05-21
publication date: 2026-05-21
starting page: 120
ending page: 127
doi: 10.71222/3kphhw81

Microplastic Accumulation in Human Placental Tissues: A Multi-Center Epidemiological Study on Birth Outcomes
type: item
description: This research article indubitably investigate the accretion of microplastics in tissue and their possible impact on birth outcomes. Utilise a multi-middle epidemiologic study design, the research search the prevalence, type. And concentration of microplastics in placental sample compile from diverse population. Advanced analytical technique were apply to quantify microplastic levels and assess correlativity with health metrics such as birth age, Apgar, and weight scores. In placental tissue, the findings reveal significant presence, with associations to adverse birth outcomes. This survey emphasize the pressing demand for public health interventions to palliate exposure during maternity.
subject: Article
  topic: section
subject: microplastics
  topic: keywords
subject: placental tissues
  topic: keywords
subject: birth outcomes
  topic: keywords
subject: epidemiological study
  topic: keywords
subject: neonatal health
  topic: keywords
creator: Sanjay Gupta
rights: Copyright (c) 2026 Sanjay Gupta (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-05-08
publication date: 2026-05-08
starting page: 108
ending page: 119
doi: 10.71222/j1hyjg96

Long-term Exposure to Ambient PM2.5 and the Progression of Non-Alcoholic Fatty Liver Disease (NAFLD): A Population-Based Cohort Study
type: item
description: This research article investigate the relationship between long-term exposure to ambient PM2.5 and the progression of Non-Alcoholic Fatty Liver Disease (NAFLD) in a population-based cohort. Utilise molding and a robust dataset, the survey appraise the impact of particulate matter on liver health over time. The findings patently unveil significant association between PM2.5 exposure and accelerated NAFLD progression, accent the demand for targeted health interventions. As intermediary of this relationship, the study farther search possible mechanism, include oxidative accent and inflammation. This work render critical insights into environmental health risks and their implications for disease management.
subject: Article
  topic: section
subject: PM2.5
  topic: keywords
subject: NAFLD
  topic: keywords
subject: Environmental Health
  topic: keywords
subject: Cohort Study
  topic: keywords
subject: Chronic Disease
  topic: keywords
creator: Maria Santos
rights: Copyright (c) 2026 Maria Santos (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-22
publication date: 2026-04-22
starting page: 97
ending page: 107
doi: 10.71222/pnsqe109

Health Co-benefits of the Transition to Clean Energy: A Health Impact Assessment (HIA) of Decarbonization Policies in Industrial Hubs
type: item
description: Specially in industrial hubs where fossil fuel emissions are concentrated, the transition to energy exhibit important health co-benefits. This research article incontestably deal a Health Impact Assessment (HIA) to evaluate the decarbonization policies implement in these part. By examine air quality improvements, diminution in and cardiovascular disease, and health outcomes, the survey incontestably emphasize the interconnection of energy policy and health equity. Using quantitative modeling and scenario analysis, the findings unveil that place intercession in hub can afford mensurable health benefits. To the grow body of grounds supporting the vantage of clean energy transitions, this research contributes : palliate climate change and heighten wellness.
subject: Article
  topic: section
subject: Clean Energy Transition
  topic: keywords
subject: Health Impact Assessment
  topic: keywords
subject: Decarbonization Policies
  topic: keywords
subject: Industrial Hubs
  topic: keywords
subject: Public Health
  topic: keywords
creator: Zhang Tao
rights: Copyright (c) 2026 Zhang Tao (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-16
publication date: 2026-04-16
starting page: 86
ending page: 96
doi: 10.71222/ym617k30

Evaluating Occupational Heat Stress and Kidney Function Among Workers in the Expanding Renewable Energy Sector
type: item
description: This research article value occupational heat stress and its impact on kidney function among worker in the energy sector. With the enlargement of energy industries, specially in part with high ambient temperature, the risk of heat-connect sickness is increase. This survey palpably apply a sundry-methods approach, combine physiological data collection, environmental monitoring, and statistical analysis to assess the prevalence of heat stress and its correlativity with kidney function markers. Punctuate the demand for point interventions, results indicate a significant relationship between prolonged heat exposure and early mark of kidney dysfunction. The findings bestow to health policies and emphasise the importance of mitigate heat stress in this grow men.
subject: Article
  topic: section
subject: occupational heat stress
  topic: keywords
subject: kidney function
  topic: keywords
subject: renewable energy sector
  topic: keywords
subject: workplace health
  topic: keywords
subject: environmental monitoring
  topic: keywords
creator: Ahmad Faiz
creator: Siti Aminah
rights: Copyright (c) 2026 Ahmad Faiz, Siti Aminah (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-16
publication date: 2026-04-16
starting page: 74
ending page: 85
doi: 10.71222/03zxcf91

Disproportionate Exposure to Industrial Noise Pollution: An Environmental Justice Analysis of Low-Income Housing Zones
type: item
description: Focusing on environmental justice implications, this research article canvass the disproportional exposure to noise pollution in low-income housing zones. The survey veritably employ a -methods approach, integrating spacial analysis, noise level measurements. And demographic information to reveal pattern of inequity. Spotlight disparity, result unveil important correlativity between socioeconomic position and noise pollution exposure. To mitigate these impact, the discourse explore policy interventions and community-ground solution. This work train to bring to the discourse on environmental justice by providing grounds and actionable insights.
subject: Article
  topic: section
subject: Environmental Justice
  topic: keywords
subject: Noise Pollution
  topic: keywords
subject: Low-Income Housing
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Policy Interventions
  topic: keywords
creator: Rajesh Kumar
creator: Anita Singh
rights: Copyright (c) 2026 Rajesh Kumar, Anita Singh (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-14
publication date: 2026-04-14
starting page: 63
ending page: 73
doi: 10.71222/9hxp6t07

Bridging the Gap: Integrating Soil Microbiome Health into Global Antimicrobial Resistance (AMR) Surveillance Frameworks
type: item
description: Antimicrobic resistance (AMR) is a world health crisis that demand surveillance frameworks. Despite their office in AMR dynamics, while and animal microbiomes have been studied, soil microbiomes remain. Accentuate development, core themes such as taxonomy and resistance mechanisms; and the challenge of concord soil data with be systems, this revaluation explore the integration of grunge microbiome health into worldwide AMR surveillance frameworks. To bridge, future perspectives spotlight prognosticative moulding and interdisciplinary near this gap. By address and analytic barrier, this paper advocates for a holistic AMR surveillance model that includes soil microbiomes.
subject: Article
  topic: section
subject: Antimicrobial Resistance
  topic: keywords
subject: Soil Microbiome
  topic: keywords
subject: Surveillance Frameworks
  topic: keywords
subject: Microbial Taxonomy
  topic: keywords
subject: Predictive Modeling
  topic: keywords
creator: Wang Wei
creator: Li Qiang
rights: Copyright (c) 2026 Wang Wei, Li Qiang (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-11
publication date: 2026-04-11
starting page: 53
ending page: 62
doi: 10.71222/afbqb550

Telemedicine Adoption and Equity: Evaluating the Impact of Digital Infrastructure on Rural Healthcare Delivery in Post-Pandemic Eras
type: item
description: In the -pandemic era, the acceptation of telemedicine has quicken, in rural areas where admittance to healthcare has traditionally been limit. This research appraise the role of digital substructure in enabling equitable healthcare delivery through telemedicine. Rivet on technological, thereby and socio-economic factor, the survey explores the challenge and chance associated with telemedicine adoption. Employ a sundry-methods approach, the research apparently canvass the impact of broadband availability, literacy. And healthcare provider readiness on telemedicine effectiveness. Event indicate that while telemedicine has ameliorate admittance to healthcare in underserved part, important disparity remain due to spread and socio-barrier. The findings plain emphasize the demand for targeted policy interventions and investments in digital substructure to assure healthcare delivery.
subject: Article
  topic: section
subject: telemedicine
  topic: keywords
subject: digital infrastructure
  topic: keywords
subject: rural healthcare
  topic: keywords
subject: equity
  topic: keywords
subject: post-pandemic
  topic: keywords
creator: Kelvin Tan
creator: Michelle Wong
rights: Copyright (c) 2026 Kelvin Tan, Michelle Wong (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-03-07
publication date: 2026-03-07
starting page: 41
ending page: 52
doi: 10.71222/7p0fhn81

Predicting the Range Expansion of Vector-Borne Diseases in Southern Europe Under Accelerated Warming Scenarios
type: item
description: Vector-borne disease are expanding their compass due to accelerated warming scenarios, in Southern Europe. Rivet on climatic, ecologic. And vector-specific parameter, this research article investigates the predictive molding of range expansion for diseases. Using advanced computational method, including machine learning and climate simulations, the survey identifies critical factor driving disease proliferation. Results quintessentially highlight the interplay between temperature rise, vector adaptability. And human population density, offer actionable insight for health interventions and policy-making. The findings punctuate the importance of proactive step to palliate risks colligate with clime-induce disease spread.
subject: Article
  topic: section
subject: Vector-borne diseases
  topic: keywords
subject: Climate change
  topic: keywords
subject: Southern Europe
  topic: keywords
subject: Predictive modeling
  topic: keywords
subject: Public health
  topic: keywords
creator: Chen Lin
rights: Copyright (c) 2026 Chen Lin (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-03-06
publication date: 2026-03-06
starting page: 29
ending page: 40
doi: 10.71222/vm63rk93

Patient violence and and antibiotic abuse: Evidence from China
type: item
description: Antibiotic abuse poses a critical public health challenge in China, with existing literature primarily emphasizing physicians' economic incentives as the driving force. This paper identifies a novel mechanism: patient violence as a catalyst for defensive antibiotic prescribing. Leveraging a violent incident at a top-tier Beijing hospital with a 95% patient satisfaction rating, we analyze over 67,000 electronic consultation records from an online platform where physicians' income derives solely from service fees-effectively isolating economic incentives from prescribing behavior. Using a difference-in-differences framework with physician and time fixed effects, we find that physicians in the affected department increase antibiotic prescriptions by 11.4 percentage points and non-prescription antibiotic guidance by 11.3 percentage points following the incident. These effects concentrate among patients expressing recovery expectations, with no significant impact on other patients, and decay within one week. Our findings reveal "appeasement behavior" as a distinct form of defensive medicine-physicians accommodate patient demands to mitigate conflict risk when clinical relationships become strained. The results underscore that antibiotic abuse is not solely an economic phenomenon but also a behavioral response to workplace violence, with important implications for antibiotic stewardship programs and patient safety policies.
subject: Article
  topic: section
subject: patient violence
  topic: keywords
subject: antibiotics
  topic: keywords
subject: China
  topic: keywords
subject: decision-making
  topic: keywords
creator: Fuyong Lu
rights: Copyright (c) 2026 Fuyong Lu (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-03-04
publication date: 2026-03-04
starting page: 21
ending page: 28
doi: 10.71222/nk1swe43

Preparation of Wear-Resistant and Antibacterial TiN/GO Coating for Knee Pads by Arc Deposition Technology in Seawater Environment
type: item
description: This study investigates the preparation of wear-resistant and antibacterial titanium nitride/graphene oxide (TiN/GO) coatings on knee pads using arc deposition technology in a simulated seawater environment. The coatings were synthesized with varying GO concentrations to optimize their tribological and antibacterial properties. The microstructure, composition, and mechanical properties of the coatings were characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), and nanoindentation. Wear resistance was evaluated through pin-on-disk tests, while antibacterial activity was assessed against Staphylococcus aureus and Escherichia coli. Results indicated that the incorporation of GO significantly enhanced the wear resistance and antibacterial performance of the TiN coating. Specifically, an optimized GO concentration led to a substantial reduction in the friction coefficient and wear rate, alongside improved antibacterial efficacy. The enhanced performance is attributed to the synergistic effect of TiN’s hardness and GO’s lubricating and antibacterial properties. This research provides a promising approach for developing high-performance coatings for biomedical applications in harsh environments.
subject: Article
  topic: section
subject: TiN/GO coating
  topic: keywords
subject: Arc deposition
  topic: keywords
subject: Wear resistance
  topic: keywords
subject: Antibacterial
  topic: keywords
subject: Seawater environment
  topic: keywords
subject: Knee pads
  topic: keywords
subject: Tribological properties
  topic: keywords
creator: Lingjun Zhu
rights: Copyright (c) 2026 Lingjun Zhu (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 7
ending page: 20
doi: 10.71222/jks62b17

Alleviating the Caregiver Burden: AI as a Systemic Intervention
type: item
description: This article examines the systemic crisis faced by millions of Americans juggling full-time work with unpaid family caregiving. Through a vignette, it illustrates the severe health and professional toll on caregivers, arguing that existing policies like the FMLA are misaligned with the unpredictable, episodic nature of modern care. As a solution, it proposes reimagining artificial intelligence (AI) as essential support infrastructure. By detailing AI's role in remote monitoring, care coordination, and enabling flexible work, the article demonstrates how technology can alleviate daily burdens, restore predictability, and prevent burnout. It counters cost concerns by framing caregiver support as a preventative economic investment and concludes that sustaining caregivers is an urgent public health and economic imperative for an aging society.
subject: Article
  topic: section
subject: family caregivers
  topic: keywords
subject: work-care conflict
  topic: keywords
subject: caregiver burnout
  topic: keywords
subject: artificial intelligence (AI) in healthcare
  topic: keywords
subject: remote patient monitoring
  topic: keywords
subject: flexible work arrangements
  topic: keywords
creator: Jingyi (Jesy) Zhang
rights: Copyright (c) 2026 Jingyi (Jesy) Zhang (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-02-13
publication date: 2026-02-13
starting page: 1
ending page: 6
doi: 10.71222/zqrfsg71

Research Progress on Acupoint Catgut Embedding Therapy for Obesity
type: item
description: Obesity has become a global public health challenge, closely associated with chronic diseases such as type 2 diabetes and cardiovascular disorders. Acupoint catgut embedding, an innovative extension of traditional Chinese medicine (TCM) external therapy, has gained increasing attention as a clinical intervention for obesity. By implanting absorbable sutures into specific acupoints, it provides continuous stimulation to regulate meridian qi and blood flow, offering advantages such as simplified operation and sustained therapeutic effects. Despite its growing application, challenges remain in clinical standardization, protocol consistency, and efficacy evaluation. This review systematically examines the mechanisms, influencing factors, and clinical applications of acupoint catgut embedding in obesity management, aiming to support its evidence-based development and standardized practice.
subject: Article
  topic: section
creator: Caixia Bai
creator: Oyunbileg Yu
creator: Tsend-Ayush D
rights: Copyright (c) 2025 Caixia Bai, Oyunbileg Yu, Tsend-Ayush D (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-31
publication date: 2025-12-31
starting page: 127
ending page: 128
doi: 10.71222/he25qd06

AI-Driven Strategies for Precision Public Health Interventions
type: item
description: The transition from traditional "one-size-fits-all" public health measures to Precision Public Health (PPH) is necessitated by the "Data-Rich, Information-Poor" (DRIP) syndrome, where massive healthcare data volumes fail to translate into rapid response times. This study proposes an AI-driven framework utilizing a Heterogeneous Data Architecture (HDA) to integrate multi-modal streams, including electronic health records (EHRs), environmental IoT telemetry, and digital phenotyping. To address infectious disease dynamics, a hybrid spatiotemporal model merging SEIR compartmental logic with Long Short-Term Memory (LSTM) networks was developed, achieving a +7-day lead-time advantage and an 80% reduction in transmission velocity. For chronic disease management, an unsupervised clustering approach identified four distinct patient phenotypes, including a critical "Invisible" high-risk group whose clinical markers are borderline but whose environmental stressors predict rapid deterioration. Empirical results demonstrate that while precision interventions incur higher upfront costs per capita, they reduce the "Effective Cost per Successful Outcome" by 33% to 70% across various domains. This framework not only stabilizes the healthcare system capacity Kcap but also provides a proactive blueprint for modernizing public health infrastructure through algorithmic stratification and personalized intervention pathways.
subject: Article
  topic: section
subject: Precision Public Health
  topic: keywords
subject: artificial intelligence
  topic: keywords
subject: risk stratification
  topic: keywords
subject: spatiotemporal surveillance
  topic: keywords
subject: chronic disease management
  topic: keywords
subject: Heterogeneous Data Architecture
  topic: keywords
creator: Yehao Wang
creator: Zihang Ma
creator: Yue Xing
creator: Bingxin Li
rights: Copyright (c) 2025 Yehao Wang, Zihang Ma, Yue Xing, Bingxin Li (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-31
publication date: 2025-12-31
starting page: 114
ending page: 126
doi: 10.71222/bc2bkp70

Dynamics of Urban Atmospheric Conditions under Emission Mitigation Pathways
type: item
description: Rapid urbanization and industrialization have led to complex atmospheric pollution characterized by coincident high levels of PM2.5 and ozone (O3) . This study establishes a high-resolution "Emission-Meteorology-Chemistry" simulation system using the WRF-CMAQ model to evaluate the air quality response to three mitigation pathways—structural adjustment (S1), end-of-pipe control (S2), and deep decarbonization (S3)—in the Yangtze River Delta (YRD) region. The results indicate that while all scenarios reduce PM2.5, the Deep Decarbonization (S3) pathway provides the most significant co-benefits, reducing urban PM2.5 by 58.5% to 32.1μg/m3. In contrast, O3 exhibits a strong non-linear response; the S2 scenario triggers a "Chemical Penalty," increasing peak MDA8 ozone by +5.2% due to the weakened NOx titration effect in VOC-limited urban cores. Integrated Process Rate (IPR) and EKMA analysis reveal that only the S3 pathway, through synchronous NOx and VOCs reductions (>60%), successfully crosses the "EKMA Ridgeline" and suppresses the atmospheric oxidizing capacity (AOC) by slowing the HOx radical propagation rate by 84.8%. The findings suggest that achieving carbon neutrality goals is a prerequisite for overcoming the ozone bottleneck. This study proposes a "Spatially Differentiated and Temporally Dynamic" control strategy, prioritizing VOCs abatement in urban cores and strict management of industrial emissions during peak photochemical hours to achieve synergistic pollution and carbon reduction.
subject: Article
  topic: section
subject: WRF-CMAQ
  topic: keywords
subject: deep decarbonization
  topic: keywords
subject: non-linear response
  topic: keywords
subject: synergistic control
  topic: keywords
subject: Yangtze River Delta
  topic: keywords
creator: Siying Wang
creator: Yuejia Wu
creator: Tianjia Zhang
creator: Jiashun Hui
creator: Chuanzhe Lin
creator: Wanran Tu
creator: Kewei Feng
creator: Patrick Qi
rights: Copyright (c) 2025 Siying Wang, Yuejia Wu, Tianjia Zhang, Jiashun Hui, Chuanzhe Lin, Wanran Tu, Kewei Feng, Patrick Qi (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-25
publication date: 2025-12-25
starting page: 100
ending page: 113
doi: 10.71222/ce2cay39

Public Attitudes Towards Pre-Cooked Food: A Multivariate Survey on Trust, Food Security, Health and Willingness to Eat Pre-Cooked Food in Daily Life
type: item
description: This study investigates consumer perceptions and purchasing behaviors related to pre-cooked food using multidimensional data analysis. The findings highlight food safety, product diversity, and price as the primary factors influencing consumer choices. Education level and gender play significant roles in shaping purchasing decisions: individuals with higher education levels tend to exhibit greater awareness and acceptance of pre-cooked food, while women generally express stronger concerns about food safety and freshness compared to men. Furthermore, occupation is closely associated with purchase frequency-office workers are more likely to buy pre-cooked food, and consumers who frequently cook at home demonstrate a higher inclination to purchase these products. Factor analysis revealed two key dimensions affecting consumers' continued consumption intention: the product perception dimension and the quality and safety dimension. Cluster analysis further divided consumers into two distinct groups-one emphasizing food safety and product diversity, and another prioritizing price and cost-effectiveness. Overall, these results offer practical insights for developing targeted marketing strategies in the pre-cooked food sector and provide a valuable foundation for future studies on consumer behavior and market segmentation.
subject: Article
  topic: section
subject: pre-cooked food
  topic: keywords
subject: China
  topic: keywords
subject: customer attitude
  topic: keywords
subject: food security
  topic: keywords
creator: Yan Ma
creator: Yu Mei
creator: Hongmin Huang
creator: Kelei Shui
creator: Hasan Tinmaz
rights: Copyright (c) 2025 Yan Ma, Yu Mei, Hongmin Huang, Kelei Shui, Hasan Tinmaz (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-10-24
publication date: 2025-10-24
starting page: 85
ending page: 99
doi: 10.71222/9y6z6x71

Chemical Stabilizers for Prolonged Enzyme Inhibition in Soils: Plant Nutrition and Agricultural Optimization
type: item
description: Chemical stabilizers play a crucial role in prolonging enzyme inhibition in soil-plant systems, offering significant potential for optimizing agricultural practices and enhancing plant nutrition management. This review examines the mechanisms and applications of chemical stabilizers in controlling soil enzyme activity, particularly focusing on urease inhibition and its implications for nitrogen management in agricultural systems. The effectiveness of various chemical compounds, including synthetic inhibitors and natural plant extracts, in modulating enzyme activity is analyzed through their impact on soil biochemical processes and nutrient availability. The research demonstrates that chemical stabilizers can effectively extend the duration of enzyme inhibition, leading to improved nitrogen use efficiency and reduced environmental losses. Furthermore, the integration of chemical stabilizers with sustainable agricultural practices shows promise for maintaining soil health while optimizing crop productivity. The findings reveal that coordination polymers and hydroxamic acid derivatives exhibit particularly strong inhibitory effects on urease activity, providing extended control over nitrogen transformation processes. This comprehensive analysis highlights the potential of chemical stabilizers as essential tools for modern precision agriculture, contributing to enhanced food security and environmental sustainability through improved nutrient management strategies.
subject: Article
  topic: section
subject: chemical stabilizers
  topic: keywords
subject: enzyme inhibition
  topic: keywords
subject: urease
  topic: keywords
subject: soil biochemistry
  topic: keywords
subject: nitrogen management
  topic: keywords
creator: Chen Li
rights: Copyright (c) 2025 Chen Li (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-09-09
publication date: 2025-09-09
starting page: 75
ending page: 84
doi: 10.71222/gs3q1e19

High-Efficiency Urease Inhibitors from Copper Coordination Complexes: Biotechnology and Agricultural Applications
type: item
description: The development of efficient urease inhibitors has become increasingly critical for agricultural sustainability and environmental protection. This paper examines the potential of copper coordination complexes as high-efficiency urease inhibitors, with particular emphasis on their biotechnological and agricultural applications. Recent advances in coordination chemistry have demonstrated that copper-based compounds exhibit remarkable inhibitory effects against urease enzymes, offering superior performance compared to traditional inhibitors. The study synthesizes current research findings on copper coordination polymers and their inhibitory mechanisms, highlighting their effectiveness in nitrogen management systems. These complexes demonstrate exceptional stability and selectivity, making them promising candidates for sustainable fertilizer technologies. The research encompasses various copper coordination architectures, including dinuclear and two-dimensional coordination polymers, which have shown significant inhibitory activities. Furthermore, the integration of auxiliary ligands in copper complexes enhances their inhibitory potential while maintaining environmental compatibility. The applications extend beyond agriculture to include biosensor development and environmental monitoring systems. The review also addresses the molecular mechanisms underlying urease inhibition by copper complexes, providing insights into structure-activity relationships. These findings contribute to the development of next-generation fertilizer technologies that can reduce nitrogen losses and improve crop yield efficiency. The research demonstrates that copper coordination complexes represent a promising frontier in sustainable agricultural practices and biotechnological applications.
subject: Article
  topic: section
subject: urease inhibitors
  topic: keywords
subject: copper coordination complexes
  topic: keywords
subject: agricultural biotechnology
  topic: keywords
subject: nitrogen management
  topic: keywords
subject: coordination polymers
  topic: keywords
subject: enzyme inhibition
  topic: keywords
creator: Xin Wang
rights: Copyright (c) 2025 Xin Wang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-09-08
publication date: 2025-09-08
starting page: 65
ending page: 74
doi: 10.71222/sg4n6369

Two-Dimensional Metal-Organic Frameworks for Agricultural Applications: Novel Copper Coordination Polymer Design
type: item
description: Two-dimensional metal-organic frameworks (2D MOFs) have emerged as promising materials for agricultural applications due to their unique structural properties and tunable functionality. This study focuses on novel copper coordination polymer designs that demonstrate exceptional performance in agricultural enzyme inhibition, particularly targeting urease activity. The development of copper-based 2D coordination polymers with tailored ligand systems has shown remarkable potential for enhancing agricultural productivity through controlled nutrient release and soil stabilization mechanisms. Recent advances in synthetic methodologies have enabled the creation of highly stable copper coordination frameworks that maintain their structural integrity under agricultural conditions while providing sustained inhibitory effects on soil enzymes. The incorporation of auxiliary ligands in copper-based systems has proven particularly effective in modulating the electronic and structural properties of these materials, leading to enhanced performance in agricultural applications. These 2D copper coordination polymers exhibit superior stability compared to traditional enzyme inhibitors and offer environmentally friendly alternatives for modern sustainable agriculture. The multifunctional nature of these materials allows for simultaneous applications in nutrient management, soil conditioning, and crop protection systems. This review examines the latest developments in copper-based 2D MOF synthesis, characterization, and their specific applications in agricultural enzyme inhibition, providing insights into future directions for sustainable agricultural technology development.
subject: Article
  topic: section
subject: metal-organic frameworks
  topic: keywords
subject: copper coordination polymers
  topic: keywords
subject: agricultural applications
  topic: keywords
subject: urease inhibition
  topic: keywords
subject: two-dimensional materials
  topic: keywords
subject: sustainable agriculture
  topic: keywords
creator: Colin Brennan
rights: Copyright (c) 2025 Colin Brennan (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-09-03
publication date: 2025-09-03
starting page: 54
ending page: 64
doi: 10.71222/ef1pp983

The Dual Role of Carbon Sink Protected Areas in Biodiversity Conservation and Carbon Reduction—Take Zhanjiang Mangrove National Nature Reserve as an Example
type: item
description: Against the backdrop of accelerating global climate change, carbon sink protected areas like mangrove forests have attracted growing attention, as they can mitigate global warming while delivering co-benefits for biodiversity and livelihoods. This study focuses on a representative mangrove ecosystem in southern China to evaluate the outcomes of ecological restoration from the perspectives of carbon reduction and species protection. Using satellite remote sensing data, the study analyzed changes in mangrove coverage to estimate carbon sink potential. Simultaneously, bird monitoring records were reviewed to assess trends in biodiversity. The research investigates the impact of mangrove restoration on regional carbon storage and local biodiversity. Results show that the expansion of mangrove areas significantly increased carbon storage, while the abundance and diversity of indicator species increased. This synergistic effect amplifies the ecological benefits of carbon reduction and species protection, producing outcomes greater than the sum of their parts. The findings underscore the critical role of mangrove reserves in climate regulation and ecological recovery, and the potential of carbon sink protected areas as integrated solutions to climate and biodiversity crises.
subject: Article
  topic: section
subject: carbon sink protected area
  topic: keywords
subject: mangrove ecosystem
  topic: keywords
subject: biodiversity conservation
  topic: keywords
subject: carbon storage assessment
  topic: keywords
subject: ecological restoration
  topic: keywords
creator: Chenrui Zhang
rights: Copyright (c) 2025 Chenrui Zhang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-09-02
publication date: 2025-09-02
starting page: 47
ending page: 53
doi: 10.71222/kksc4347

Sustainable Urease Inhibition in Agriculture: Advances in Chemical Stabilizers and Copper Coordination Polymers
type: item
description: Urease-mediated hydrolysis of urea fertilizer leads to significant nitrogen losses through ammonia volatilization and environmental pollution, posing challenges to sustainable agriculture. Effective urease inhibition is crucial for enhancing nitrogen use efficiency (NUE) and minimizing ecological impact. This review examines two promising strategies for urease inhibition: traditional chemical stabilizers and emerging copper coordination polymers (Cu-CPs) engineered via second auxiliary ligands. Chemical stabilizers such as NBPT have demonstrated rapid urease inhibition but suffer from limitations including short duration and environmental instability. In contrast, Cu-CPs offer tunable structural features and sustained release properties, enabling prolonged urease inhibition alongside multifunctional benefits such as antimicrobial activity. Comparative analyses highlight potential synergies between these approaches, including hybrid formulations that combine immediate and long-lasting effects. Key challenges such as environmental safety, field-level validation, and mechanistic understanding are discussed. Finally, the review advocates for a systems-based interdisciplinary approach to develop eco-friendly, cost-effective urease inhibitors that support sustainable nitrogen management and global food security.
subject: Article
  topic: section
subject: urease inhibition
  topic: keywords
subject: nitrogen use efficiency
  topic: keywords
subject: chemical stabilizers
  topic: keywords
subject: copper coordination polymers
  topic: keywords
subject: second auxiliary ligands
  topic: keywords
creator: Yangyang Zhai
creator: Grant E. Thornton
rights: Copyright (c) 2025 Yangyang Zhai, Grant E. Thornton (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-27
publication date: 2025-08-27
starting page: 39
ending page: 46
doi: 10.71222/c6c2d981

Advances in Copper Coordination Polymers and Chemical Stabilizers for Enhanced Urease Inhibition in Agricultural Soils
type: item
description: Efficient nitrogen management is critical for sustainable agriculture, and urease inhibitors play a vital role in enhancing nitrogen use efficiency by reducing urea hydrolysis losses. Copper-based coordination polymers (Cu-CPs) have recently emerged as promising urease inhibitors due to their unique structural features, controlled copper ion release, and multifunctional inhibitory mechanisms. This review comprehensively discusses the interaction of Cu²⁺ ions with urease active sites, the advantages of Cu-CPs over conventional inhibitors, and the influence of polymer architecture on inhibition kinetics. In particular, the synergistic effects of polymer design and chemical stabilizers in soil environments are highlighted for prolonging inhibitory activity and improving environmental compatibility. Challenges related to material cost, field-scale application, and ecotoxicity are also addressed. Finally, future perspectives emphasize green synthesis approaches, biodegradable ligand design, and smart responsive systems to advance the development of Cu-CP-based urease inhibitors for sustainable agricultural applications.
subject: Article
  topic: section
subject: copper-based coordination polymers
  topic: keywords
subject: urease inhibition
  topic: keywords
subject: controlled release
  topic: keywords
subject: chemical stabilizers
  topic: keywords
subject: nitrogen use efficiency
  topic: keywords
subject: polymer structure
  topic: keywords
subject: sustainable agriculture
  topic: keywords
creator: Xuan Liu
creator: Yi Xu
creator: Nurul Aisyah Binti Ahmad
rights: Copyright (c) 2025 Xuan Liu, Yi Xu, Nurul Aisyah Binti Ahmad (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-23
publication date: 2025-08-23
starting page: 31
ending page: 38
doi: 10.71222/dczs3h58

Sports Science Research on Athletic Training Methodologies and Performance Enhancement
type: item
description: Athletic training methodologies have undergone significant evolution in recent decades, incorporating advanced scientific principles to optimize performance enhancement across diverse sporting disciplines. This comprehensive review examines contemporary approaches to athletic training, focusing on post-activation performance enhancement protocols, warm-up strategies, artificial intelligence integration, and rehabilitation methodologies. The research synthesizes current evidence regarding the effectiveness of various training interventions, highlighting the importance of systematic approaches to performance optimization. Post-activation performance enhancement protocols demonstrate significant improvements in vertical jump performance and explosive power output when properly implemented. Warm-up strategies continue to evolve beyond traditional approaches, incorporating specific physiological and biomechanical considerations that enhance subsequent performance outcomes. The integration of artificial intelligence technologies presents unprecedented opportunities for personalized training prescriptions and real-time performance monitoring. Rehabilitation methodologies, particularly in anterior cruciate ligament reconstruction recovery, have advanced through evidence-based protocols that emphasize movement re-training and progressive return-to-sport criteria. The findings indicate that modern athletic training requires a multidisciplinary approach combining traditional exercise science principles with cutting-edge technological innovations. This synthesis provides practitioners with comprehensive insights into evidence-based methodologies that can be implemented across various athletic populations to maximize performance outcomes while minimizing injury risk.
subject: Article
  topic: section
subject: athletic training
  topic: keywords
subject: performance enhancement
  topic: keywords
subject: post-activation potentiation
  topic: keywords
subject: artificial intelligence
  topic: keywords
subject: rehabilitation
  topic: keywords
subject: warm-up protocols
  topic: keywords
creator: Lucas J. Fairmont
rights: Copyright (c) 2025 Lucas J. Fairmont (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-13
publication date: 2025-08-13
starting page: 21
ending page: 30
doi: 10.71222/dzpprw92

Physical Therapy Rehabilitation Techniques Incorporating Classical Ballet Movement Therapeutic Principles
type: item
description: The integration of classical ballet movement principles into physical therapy rehabilitation has emerged as an innovative approach to treating musculoskeletal injuries and movement disorders. This comprehensive review examines the therapeutic applications of ballet-based techniques in clinical rehabilitation settings, focusing on their effectiveness in addressing common orthopedic conditions, postural dysfunction, and movement impairments. Ballet's emphasis on precise body alignment, controlled movement patterns, and progressive strengthening provides a structured framework for rehabilitation protocols. The study analyzes various rehabilitation strategies that incorporate ballet fundamentals, including barre exercises for postural correction, turnout mechanics for hip mobility, and arabesque positions for core stabilization. Evidence suggests that ballet-inspired therapy demonstrates significant improvements in flexibility, balance, proprioception, and functional movement patterns compared to traditional rehabilitation methods. The research also explores the psychological benefits of dance-based therapy, including enhanced motivation, body awareness, and treatment compliance. Special attention is given to injury prevention strategies derived from ballet pedagogy and their application in clinical practice. This paper presents a systematic analysis of current literature, case studies, and clinical protocols that demonstrate the efficacy of ballet-integrated rehabilitation techniques. The findings support the incorporation of classical ballet principles as a valuable adjunct to conventional physical therapy, offering patients a more engaging and holistic approach to recovery while maintaining clinical rigor and evidence-based practice standards.
subject: Article
  topic: section
subject: ballet rehabilitation
  topic: keywords
subject: dance therapy
  topic: keywords
subject: movement dysfunction
  topic: keywords
subject: postural correction
  topic: keywords
subject: injury prevention
  topic: keywords
subject: therapeutic exercise
  topic: keywords
creator: Emily A. Richardson
rights: Copyright (c) 2025 Emily A. Richardson (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-10
publication date: 2025-08-10
starting page: 10
ending page: 20
doi: 10.71222/wa4h1k14

Research on the Application Potential of Biomass Particles Extracted from Moldy Orange Peels as a Novel Adsorption Material
type: item
description: The escalating environmental pollution caused by industrialization necessitates the development of cost-effective and environmentally friendly adsorbent materials. This study explores the potential of biomass particles extracted from moldy orange peels, an abundant agricultural waste, as a novel adsorbent for environmental remediation. Morphological characterization by scanning electron microscopy (SEM) revealed the particles to be micro-sized, predominantly spherical to elliptical, with highly porous and rough surfaces. Energy-dispersive X-ray spectroscopy (EDX) confirmed their organic nature, primarily composed of carbon and oxygen, with detectable amounts of nitrogen and phosphorus, indicative of their biological origin. Fourier transform infrared spectroscopy (FTIR) further identified various functional groups (hydroxyl, carboxyl, amino groups) crucial for pollutant interaction. Adsorption experiments, simulated using methylene blue as a model pollutant, demonstrated remarkable adsorption capacity, reaching up to 185 mg/g, aligning well with the Langmuir isotherm model. Kinetic studies showed that the adsorption process followed a pseudo-second-order model, suggesting a chemisorption mechanism. Furthermore, preliminary regeneration studies indicated the reusability of these particles for multiple cycles with acceptable efficiency. The findings highlight that these readily available and sustainable biomass particles possess promising attributes as an effective and low-cost adsorbent, offering a valuable solution for wastewater treatment and resource valorization of agricultural waste.
subject: Article
  topic: section
subject: biomass particles
  topic: keywords
subject: moldy orange peels
  topic: keywords
subject: adsorption
  topic: keywords
subject: methylene blue
  topic: keywords
subject: sustainable material
  topic: keywords
creator: Olg Smirnova
creator: Anna Petrova
rights: Copyright (c) 2025 Olg Smirnova, Anna Petrova (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-08
publication date: 2025-08-08
starting page: 1
ending page: 9
doi: 10.71222/b8xhw606

Research on Data-Driven Environmental Policy in Water Resource Management
type: item
description: In the face of global water scarcity and environmental challenges, improving the efficient management and sustainable utilization of water resources has become a core issue for governments and research departments around the world. This study uses a data-driven approach to explore how advanced data technologies can enhance the efficiency of water resource management, as well as improve the accuracy and execution of environmental strategies. This article first reviews the shortcomings of traditional water resource management methods, such as strong reliance on experience, limitations of manual forecasting, difficulties in data integration, and low efficiency in policy implementation. A data-driven water resource management model has been proposed, which utilizes precise prediction, digital transformation, and intelligent management to optimize the allocation, scheduling, and protection processes of water resources.
subject: Article
  topic: section
subject: water resources management
  topic: keywords
subject: data driven
  topic: keywords
subject: environmental policies
  topic: keywords
subject: accurate prediction
  topic: keywords
subject: digital transformation
  topic: keywords
creator: Bin Li
rights: Copyright (c) 2025 Bin Li (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-06-25
publication date: 2025-06-25
starting page: 101
ending page: 107

Preliminary Structural Studies of the Kinetoplastida Target Enzyme and Foundation for Subsequent Studies
type: item
description: Kinetoplastida, a class of flagellated protists, includes several pathogenic genera responsible for neglected tropical diseases. These parasites rely on unique biochemical pathways, such as those involved in glycolysis, which are absent in their human hosts, making them attractive targets for selective drug development. This study presents a preliminary structural and functional analysis of a key target enzyme from Kinetoplastida, laying the foundation for further mechanistic studies and drug screening. Using a combination of homology modeling, molecular docking, and sequence alignment, we identify conserved active site residues and potential ligand binding regions. The results provide valuable insights for future structure-based drug design efforts aimed at treating Trypanosoma and Leishmania infections.
subject: Article
  topic: section
subject: Kinetoplastida
  topic: keywords
subject: enzyme structure
  topic: keywords
subject: homology modeling
  topic: keywords
subject: drug discovery
  topic: keywords
subject: neglected tropical diseases
  topic: keywords
subject: molecular docking
  topic: keywords
subject: Trypanosoma
  topic: keywords
subject: Leishmania
  topic: keywords
creator: Ziyao Liu
rights: Copyright (c) 2025 Ziyao Liu (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-05-03
publication date: 2025-05-03
starting page: 92
ending page: 100
doi: 10.71222/xwzr0q07

The Role of Light Therapy in Mental Health and Depression
type: item
description: The relationship between lighting science and mental health is a multi-dimensional and cross-disciplinary field, and they are closely related to each other. The light's illumination, through factors such as intensity, color, and rhythm, can affect people's emotions, cognition and behaviors through psychological and physiological mechanisms. Therefore, the scientific utilization of light in the field of mental health is an inseparable part of the therapeutic process. However, in the actual treatment process, there are limitations in how to make use of more personalized and attractive cost-effective treatment methods to provide better care for patients. By taking into account the impact of different light sensations and colors on patients, light therapy is applied, combined with artificial and natural light therapy technologies, to offer patients diverse treatment options. At the same time, the integration of online tracking technology and appropriate virtual reality technology effectively retains patients' treatment data, allowing them to not only enjoy a better treatment experience but also achieve better therapeutic outcomes during the treatment process. By saving costs while adopting more attractive and personalized theories and methods, better and more suitable treatment plans are formulated for patients with depression. Light therapy has expanded beyond merely promoting psychological well-being through functional specializations and now utilizes reasonable lighting strategies to better address the symptoms of depression for patients, serving as an important supplement to non-pharmacological approaches.
subject: Article
  topic: section
subject: lighting science
  topic: keywords
subject: psychological health
  topic: keywords
subject: depression patient
  topic: keywords
subject: light therapy
  topic: keywords
subject: virtual reality
  topic: keywords
creator: Rui Bai
rights: Copyright (c) 2025 Rui Bai (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-04-29
publication date: 2025-04-29
starting page: 87
ending page: 91

The Influence of Genetic and Environmental Factors on the Occurrence and Development of Blood Diseases
type: item
description: Hematopoietic disease is due to the abnormal function of the hematopoietic system, is a disease caused by the dual role of heredity and environment. Genetic factors such as gene mutation, chromosome abnormality, immune gene mutation, as well as environmental factors such as exposure to harmful chemicals, viral infection, and living habits are all risk factors for causing blood diseases. Certain gene mutations, such as TP53, JAK2, NPM1, etc., are high-risk for the occurrence of blood diseases, and long-term exposure to harmful chemicals, EBV virus infection, etc., can also lead to the occurrence of blood diseases. This article reviews the influence of genetic and environmental factors on the occurrence and development of blood diseases, and discusses the prevention and control strategies such as early screening, targeted therapy, cell therapy and personalized rehabilitation.
subject: Article
  topic: section
subject: blood diseases
  topic: keywords
subject: gene mutation
  topic: keywords
subject: environmental exposure
  topic: keywords
creator: Qiaoling Wang
creator: Qing Yuan
creator: Jiayu Liu
creator: Shenglin Hu
creator: Junwu Du
creator: Shuzhi Zhou
rights: Copyright (c) 2025 Qiaoling Wang, Qing Yuan, Jiayu Liu, Shenglin Hu, Junwu Du, Shuzhi Zhou (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-04-25
publication date: 2025-04-25
starting page: 80
ending page: 86

Innovative Application of Multimodal Medical Imaging in Complex Lesion Diagnosis Based on Deep Fusion Networks
type: item
description: Multimodal medical imaging, which combines spatial and functional information, plays an important role in improving the accuracy of complex disease diagnosis. This study aims to address the diagnostic challenges of complex lesions by designing a deep fusion network that integrates channel attention and multi-scale feature extraction. An end-to-end model was built and tested on two public multimodal datasets: glioma and lung tumors. The experimental results show that, compared with existing multimodal fusion methods, the proposed approach achieves better performance in classification accuracy, area under the receiver operating characteristic curve (ROC-AUC), and Dice coefficient for image segmentation. This method provides a new solution for clinical decision support based on multi-source imaging.
subject: Article
  topic: section
subject: multimodal fusion
  topic: keywords
subject: deep learning
  topic: keywords
subject: medical image analysis
  topic: keywords
subject: diagnostic support system
  topic: keywords
subject: tumor detection
  topic: keywords
creator: Jisoo Park
creator: Minjae Kim
creator: Eunji Lee
creator: Hyunwoo Choi
creator: Seungmin Oh
rights: Copyright (c) 2025 Jisoo Park, Minjae Kim, Eunji Lee, Hyunwoo Choi, Seungmin Oh (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-04-17
publication date: 2025-04-17
starting page: 73
ending page: 79