European Journal of Public Health and Environmental Research
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.
CRISPR-Based Gene Therapy for Type 2 Diabetic Neuropathy
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 basic laboratory research to widespread clinical practice.
Copyright (c) 2026 Xinyu Wen (Author) https://creativecommons.org/licenses/by/4.0
Microplastic Accumulation in Human Placental Tissues: A Multi-Center Epidemiological Study on Birth Outcomes
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.
Copyright (c) 2026 Sanjay Gupta (Author) https://creativecommons.org/licenses/by/4.0
Long-term Exposure to Ambient PM2.5 and the Progression of Non-Alcoholic Fatty Liver Disease (NAFLD): A Population-Based Cohort Study
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.
Copyright (c) 2026 Maria Santos (Author) https://creativecommons.org/licenses/by/4.0
Health Co-benefits of the Transition to Clean Energy: A Health Impact Assessment (HIA) of Decarbonization Policies in Industrial Hubs
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.
Copyright (c) 2026 Zhang Tao (Author) https://creativecommons.org/licenses/by/4.0
Evaluating Occupational Heat Stress and Kidney Function Among Workers in the Expanding Renewable Energy Sector
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.
Copyright (c) 2026 Ahmad Faiz, Siti Aminah (Author) https://creativecommons.org/licenses/by/4.0
Disproportionate Exposure to Industrial Noise Pollution: An Environmental Justice Analysis of Low-Income Housing Zones
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.
Copyright (c) 2026 Rajesh Kumar, Anita Singh (Author) https://creativecommons.org/licenses/by/4.0
Bridging the Gap: Integrating Soil Microbiome Health into Global Antimicrobial Resistance (AMR) Surveillance Frameworks
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.
Copyright (c) 2026 Wang Wei, Li Qiang (Author) https://creativecommons.org/licenses/by/4.0
Telemedicine Adoption and Equity: Evaluating the Impact of Digital Infrastructure on Rural Healthcare Delivery in Post-Pandemic Eras
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.
Copyright (c) 2026 Kelvin Tan, Michelle Wong (Author) https://creativecommons.org/licenses/by/4.0
Predicting the Range Expansion of Vector-Borne Diseases in Southern Europe Under Accelerated Warming Scenarios
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.
Copyright (c) 2026 Chen Lin (Author) https://creativecommons.org/licenses/by/4.0
Patient violence and and antibiotic abuse: Evidence from China
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.
Copyright (c) 2026 Fuyong Lu (Author) https://creativecommons.org/licenses/by/4.0
Preparation of Wear-Resistant and Antibacterial TiN/GO Coating for Knee Pads by Arc Deposition Technology in Seawater Environment
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.
Copyright (c) 2026 Lingjun Zhu (Author) https://creativecommons.org/licenses/by/4.0
Alleviating the Caregiver Burden: AI as a Systemic Intervention
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.
artificial intelligence (AI) in healthcare
Copyright (c) 2026 Jingyi (Jesy) Zhang (Author) https://creativecommons.org/licenses/by/4.0
Research Progress on Acupoint Catgut Embedding Therapy for Obesity
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.
Copyright (c) 2025 Caixia Bai, Oyunbileg Yu, Tsend-Ayush D (Author) https://creativecommons.org/licenses/by/4.0
AI-Driven Strategies for Precision Public Health Interventions
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.
Copyright (c) 2025 Yehao Wang, Zihang Ma, Yue Xing, Bingxin Li (Author) https://creativecommons.org/licenses/by/4.0
Dynamics of Urban Atmospheric Conditions under Emission Mitigation Pathways
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.
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
Public Attitudes Towards Pre-Cooked Food: A Multivariate Survey on Trust, Food Security, Health and Willingness to Eat Pre-Cooked Food in Daily Life
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.
Copyright (c) 2025 Yan Ma, Yu Mei, Hongmin Huang, Kelei Shui, Hasan Tinmaz (Author) https://creativecommons.org/licenses/by/4.0
Chemical Stabilizers for Prolonged Enzyme Inhibition in Soils: Plant Nutrition and Agricultural Optimization
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.
Copyright (c) 2025 Chen Li (Author) https://creativecommons.org/licenses/by/4.0
High-Efficiency Urease Inhibitors from Copper Coordination Complexes: Biotechnology and Agricultural Applications
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.
Copyright (c) 2025 Xin Wang (Author) https://creativecommons.org/licenses/by/4.0
Two-Dimensional Metal-Organic Frameworks for Agricultural Applications: Novel Copper Coordination Polymer Design
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.
Copyright (c) 2025 Colin Brennan (Author) https://creativecommons.org/licenses/by/4.0
The Dual Role of Carbon Sink Protected Areas in Biodiversity Conservation and Carbon Reduction—Take Zhanjiang Mangrove National Nature Reserve as an Example
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.
Copyright (c) 2025 Chenrui Zhang (Author) https://creativecommons.org/licenses/by/4.0
Sustainable Urease Inhibition in Agriculture: Advances in Chemical Stabilizers and Copper Coordination Polymers
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.
Copyright (c) 2025 Yangyang Zhai, Grant E. Thornton (Author) https://creativecommons.org/licenses/by/4.0
Advances in Copper Coordination Polymers and Chemical Stabilizers for Enhanced Urease Inhibition in Agricultural Soils
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.
Copyright (c) 2025 Xuan Liu, Yi Xu, Nurul Aisyah Binti Ahmad (Author) https://creativecommons.org/licenses/by/4.0
Sports Science Research on Athletic Training Methodologies and Performance Enhancement
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.
Copyright (c) 2025 Lucas J. Fairmont (Author) https://creativecommons.org/licenses/by/4.0
Physical Therapy Rehabilitation Techniques Incorporating Classical Ballet Movement Therapeutic Principles
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.
Copyright (c) 2025 Emily A. Richardson (Author) https://creativecommons.org/licenses/by/4.0
Research on the Application Potential of Biomass Particles Extracted from Moldy Orange Peels as a Novel Adsorption Material
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.
Copyright (c) 2025 Olg Smirnova, Anna Petrova (Author) https://creativecommons.org/licenses/by/4.0
Research on Data-Driven Environmental Policy in Water Resource Management
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.
Copyright (c) 2025 Bin Li (Author) https://creativecommons.org/licenses/by/4.0
Preliminary Structural Studies of the Kinetoplastida Target Enzyme and Foundation for Subsequent Studies
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.
Copyright (c) 2025 Ziyao Liu (Author) https://creativecommons.org/licenses/by/4.0
The Role of Light Therapy in Mental Health and Depression
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.
Copyright (c) 2025 Rui Bai (Author) https://creativecommons.org/licenses/by/4.0
The Influence of Genetic and Environmental Factors on the Occurrence and Development of Blood Diseases
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.
Copyright (c) 2025 Qiaoling Wang, Qing Yuan, Jiayu Liu, Shenglin Hu, Junwu Du, Shuzhi Zhou (Author) https://creativecommons.org/licenses/by/4.0
Innovative Application of Multimodal Medical Imaging in Complex Lesion Diagnosis Based on Deep Fusion Networks
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.
Copyright (c) 2025 Jisoo Park, Minjae Kim, Eunji Lee, Hyunwoo Choi, Seungmin Oh (Author) https://creativecommons.org/licenses/by/4.0