Cradle to grave environmental analysis of cigarettes with emphasis on end-of-life management.

Estimation model and future projections for leaf longevity in alpine grasslands based on XGBoost-SHAP algorithm: A case study of the Three-Rivers-Source Region, China

How does the organizational innovation atmosphere in a school setting influence the development of teachers' creative performance?

Molecular mechanisms of shenhong tongluo formula against myocardial ischemia-reperfusion injury: Insights from RNA sequencing, bioinformatics, reverse network pharmacology, molecular docking, and molecular dynamics simulations combined with experimental studies.

Key drivers and relationships between spring maize water use efficiency and soil fertility in northern China under future climate scenarios

Brand equity and smartphone choice among Ghanaian university students

Integrated pan-cancer profiling and experimental validation identify CCDC59 as a key driver and therapeutic biomarker in liver hepatocellular carcinoma.

Factors influencing performance of university lecturers in Tanzania: Mediating role of job satisfaction

Understanding the urban-rural divide in residential energy consumption (REC) is essential for designing equitable energy and decarbonization strategies. This study examines REC disparity in China using a framework combining the Dagum Gini coefficient, spatiotemporal geographic weighted regression (GTWR), and gray prediction. Key findings include: (1) From 1995–2022, urban REC grew faster than rural REC, although per capita REC showed signs of convergence, with persistent disparities indicated by an average inter-regional Gini coefficient of 0.420; (2) High-consumption clusters were concentrated in northern China, shifting from west to east over time; (3) REC structure changed in three stages: coal dominance (1995–2006), urban diversification and rural biomass reliance (2007–2017), and a shift towards clean energy in urban areas post-2018, while rural areas lagged; (4) Key drivers of REC disparity included residential consumption, population size, employment numbers, and energy structure, with spatial differences due to uneven economic development, urbanization and policy interventions; (5) Predictions for 2023–2050 suggest continued REC growth, with urban consumption outpacing rural, which could exacerbate existing disparities. These findings highlight the need for targeted policies, such as increasing rural clean energy support, balancing urban-rural infrastructure investment, and implementing dynamic carbon pricing to promote equitable decarbonization. • Persistent urban-rural REC gaps despite per capita convergence (1995–2022). • Northern high-REC clusters shifted westward-eastward with structural transitions. • Key drivers of REC include: consumption, population, employment, energy structure. • Urban REC growth to outpace rural, widening disparities through 2050.

On-board determination and ecological risk of Cu species in Yellow River Estuary.

Explainable artificial intelligence identifies key meteorological drivers of extreme precipitation in the Asian Monsoon Region

Design and synthesis of novel ATP-citrate lyase inhibitors and their effects on MAFLD/MASH.

Stagnant oxidative potential in declining agricultural fleets: Evidence from key particulate matter composition despite fleet renewal.

Reimagining dry eye disease management - a multimodal approach targeting the key pathophysiological drivers.

Microwave and ultrasound assisted synergistic extraction of aromatics from food and agro-waste using DES and NADES

This study investigated the reparative effects of Brassica rapa L. ethanolic extract (BREE) on H2O2-induced oxidative injury in PC-12 cells. Brassica rapa L., a cruciferous plant rich in bioactive flavonoids, exhibits potent antioxidant and neuroprotective properties against oxidative stress, a key pathological driver in neurodegenerative diseases. This study investigated the reparative effects of Brassica rapa L. ethanolic extract (BREE) on H2O2-induced oxidative injury in PC-12 cells, employing a multi-omics approach integrating LC-MS/MS metabolite profiling, molecular docking, and transcriptomic validation. BREE demonstrated robust radical-scavenging activity. Molecular docking identified direct interactions among flavonoids within BREE, suggesting a role in redox modulation. Subsequent experiments confirmed the activation of the PI3K/Akt, Keap1-Nrf2, and cell cycle pathways. Functionally, BREE significantly restored cell viability to 162.3% ± 6.9% of that in the control group. These findings validate BREE's dual action in scavenging ROS and reprogramming redox signaling networks, positioning it as a candidate for combating oxidative stress-associated neurodegeneration and as a potential functional food for age-related cognitive decline.

Understanding the spatial variability and environmental drivers of soil organic carbon (SOC) is critical for improving carbon management in fragile karst landscapes. This study collected 110 topsoil samples across county Yangshan, southern China, and applied an interpretable machine learning framework combining Random Forest (RF) and SHapley Additive exPlanations (SHAP) to explore the spatial heterogeneity and key environmental controls of SOC. The measured contents ranged from 3.33 to 44.20 g/kg, with a coefficient of variation of 43.5%, indicating moderate variability. RF-based spatial predictions revealed that higher SOC levels were mainly concentrated in the northern and southern subregions associated with clastic rocks, while lower SOC values clustered in central areas dominated by carbonate bedrocks. SHAP analysis indicated that soil physicochemical properties contributed over 53% to SOC, with total nitrogen and cation exchange capacity exerting the strongest influences, particularly in karst zones. Hydrological, vegetation, and terrain-related factors showed moderate importance, especially in high-elevation areas with natural vegetation and complex topography that promoted SOC accumulation. In contrast, climatic variables had relatively weak impacts, with their influences clustered in lowlands dominated by anthropogenic land uses. These findings revealed spatially heterogenous controls on SOC between karst and non-karst landscapes, emphasizing the dominant role of soil properties under shallow, erosion-prone conditions and highlighting the role of topography and vegetation in enhancing SOC stocks in mountainous areas. The integrated use of interpretable machine learning approaches improves the understanding of localized SOC dynamics and provides a valuable reference for precision carbon management and ecological restoration in other environmentally sensitive regions. • RF-SHAP framework effectively identified key environmental drivers on SOC. • Local SHAP values visualized spatial heterogeneity in karst and non-karst areas. • TN and CEC dominated contributions of SOC, especially under karst landscapes. • Hydrology, vegetation, and terrain influenced SOC in high-elevation clastic zones. • Climatic impacts clustered in lowlands associated with anthropogenic disturbance.

Meeting global climate targets requires cost-effective strategies for reducing carbon emissions, especially in the waste management sector. Waste-to-energy (WtE) technologies are widely recognized for their greenhouse gas mitigation potential by diverting waste from disposal sites and displacing fossil fuels with energy recovered from waste. However, their cost-effectiveness for carbon abatement remains underexplored. This study introduces the Levelized Cost of Carbon Mitigation (LCOCM) as a novel metric to assess the economic feasibility of WtE technologies in Iran. The LCOCM is particularly valuable in countries where carbon pricing mechanisms such as emission trading schemes (ETS) are not yet in place, thereby serving as an alternative decision-support tool for policymakers. The results show LCOCM values of $32/ton CO₂-eq for incineration, $14/ton CO₂-eq for anaerobic digestion (AD), and $7/ton CO₂-eq for landfill gas (LFG) recovery. Financial indicators confirm that LFG and AD are economically viable options for carbon-emission reduction, with NPVs of $1.9 billion and $1.1 billion, IRRs of 28 % and 13 %, and payback periods of 3 and 7 years, respectively, whereas incineration is not viable under current conditions. Sensitivity analyses further underscore the critical role of operational optimization—such as extended lifespans, improved energy yields, and minimized downtimes—in reducing the LCOCM. This study demonstrates the cost-effectiveness of WtE technologies for carbon mitigation and provides a replicable framework for sustainable energy and climate policy in emerging economies. • Introduces LCOCM as a novel metric for assessing WtE carbon mitigation costs. • AD and LFG show strong economic feasibility with positive NPV and high IRR. • Incineration offers highest mitigation but remains financially unviable. • WtE systems could achieve up to 54 % of Iran’s 2030 emission reduction target. • Sensitivity analysis identifies CAPEX, OPEX, and efficiency as key cost drivers.

Objectives. To examine the relationship between housing insecurity and lesbian, gay, bisexual, pansexual, transgender, gender-expansive, queer, and questioning (LGBTQ+) identity with mental health burdens from climate events among California adults. Methods. We used cross-sectional data from 2023 California Health Interview Survey (n = 14 307). The outcome was self-reported mental health burden from climate events. Primary predictors were LGBTQ+ identity and housing insecurity. We conducted survey-weighted descriptive statistics and multivariable logistic regression, adjusting for covariates, with an interaction term assessing synergistic effects of primary predictors. Results. Transgender or gender-expansive (adjusted odds ratio [AOR] = 4.05; 95% confidence interval [CI] = 2.66, 6.15) and bisexual or pansexual individuals (AOR = 1.67; 95% CI = 1.19, 2.33) had significantly higher odds of climate-related mental health burden. High housing insecurity was also associated with greater odds (AOR = 1.26; 95% CI = 1.07, 1.48). Among gay respondents, experiencing housing insecurity was associated with approximately threefold higher odds of climate-related mental health burden (adjusted ratio of odds ratios = 3.1; 95% CI = 1.40, 6.82). Conclusions. Bisexual or pansexual and transgender or gender-expansive individuals reported higher mental health burdens from climate events. Housing insecurity appears to be a key social driver shaping disparities in climate-related mental health among LGBTQ+ populations. (Am J Public Health. 2026;116(6):779-789. https://doi.org/10.2105/AJPH.2025.308379).

The Yin and Yang of tertiary lymphoid structures in primary liver cancer.