Search Results (63,481)

Fly ash (FA) captures most mercury (Hg) in the waste stream during municipal solid waste incineration (MSWI), and the content and speciation of Hg in MSWI fly ash (MSWI-FA) have a significant impact on the ecological environment. In this study, 245 fly ash samples were collected from 18 MSWI facilities in Guizhou Province, a fragile karst area with a high Hg background in Southwest China. The results indicate that total Hg ranged from 0.52 to 444 mg/kg among samples, while the geometric means varied from 0.85 to 223.33 mg/kg for different incinerators, with a weighted geometric mean of 22.14 mg/kg, more than double the national average. Substantial temporal variability in Hg content suggested intermittent inputs of Hg-rich waste into the MSW stream. While positive correlations (p < 0.05) were observed between Hg and chlorine, potassium, and cadmium, the moderate to low R² values indicate that Hg enrichment is a complex multi-factor system influenced by heterogeneous waste compositions and transient thermochemical conditions. Speciation analysis revealed that most of the Hg exists in its elemental form (F4), constituting over 80% of the total Hg. However, the water-soluble fraction (F1) and the ion-exchangeable fraction (F2) each reached up to 26–29% in some samples, indicating substantial environmental mobility. These findings demonstrate that MSWI-FA in Guizhou contains elevated Hg levels, posing considerable ecological and environmental risks. Enhancing the classification and management of Hg-containing waste in MSW is critical to mitigating the environmental risks of fly ash, particularly in karst ecological areas. Full article

Existing research on driving under the influence (DUI) crashes predominantly employs independent modeling frameworks that overlook the interdependency between injury outcomes of impaired and sober drivers, potentially leading to biased parameter estimates and an incomplete understanding of crash mechanisms. This study develops a copula-based bivariate ordered response modeling framework to investigate how injury severities of DUI and non-DUI drivers are interdependent and how this dependency varies systematically across weather conditions. Using crash data from the U.S. Crash Report Sampling System (2016–2022), we analyze 3773 two-vehicle crashes involving one alcohol-impaired and one sober driver under clear, rain/snow, and fog conditions. Three key findings emerge from our analysis. First, injury severities between DUI and non-DUI drivers exhibit significant dependency, with both the strength and structure of this association varying systematically across weather conditions. Dependency intensity increases progressively from clear weather (Kendall’s τ = 0.2717) to rain/snow (0.2966) and peaks under fog (0.3239). Moreover, the optimal dependency structure differs by weather conditions. Second, DUI and non-DUI drivers demonstrate markedly differentiated response patterns to risk factors, with the same factor often producing opposite-direction or substantially different magnitude effects on the two parties. Third, weather conditions play a critical moderating role, with most risk factors exhibiting significant amplification effects on crash injury severity under adverse weather. For example, on curved roadways under fog compared to clear weather, severe/fatal injury risk increases from 4.45% to 5.81% for DUI drivers and from 7.99% to 11.36% for non-DUI drivers. These findings highlight the importance of joint dependency modeling in alcohol-related crash research and provide evidence-based insights for weather-sensitive DUI enforcement and targeted safety interventions. Full article

Lactoferrin (LF) is present in tears, nasal secretions, saliva, and milk and maintains mucosal homeostasis. The palatine tonsils represent the first immune tissue to recognize pathogens invading the oral cavity via Toll-like receptors (TLRs). We aimed to investigate the effects of bovine LF on tonsillar immune cells stimulated with ligands of TLR7 or TLR9, which recognize viral single-stranded RNA or bacterial unmethylated CpG DNA. Mononuclear cells isolated from palatine tonsils of patients with recurrent tonsillitis or immunoglobulin A (IgA) nephropathy were cultured with LF, TLR7, or TLR9 ligands. Under TLR7 stimulation, LF enhanced the activation of plasmacytoid dendritic cells (pDCs), T-killer cells, and B cells without inducing inflammatory cytokines. In contrast, under TLR9 stimulation, LF suppressed the activation of pDCs, myeloid dendritic cells, T-helper cells, T-killer cells, B cells, and natural killer cells, as well as the production of TNF-α and IL-6. Moreover, LF decreased the production of the B-cell activation factor (BAFF), a proliferation-inducing ligand (APRIL), and galactose-deficient IgA1, all of which are risk factors of IgA nephropathy. Overall, LF may enhance the immune response against viruses and contribute to immune tolerance against commensal bacteria in the palatine tonsils, indicating potential benefits in managing cold-like symptoms, recurrent tonsillitis, and IgA nephropathy. Full article

Assessment of landslide risk is crucial given the substantial related economic losses and infrastructure damage in mountain areas every year. Particularly, the Sagarmatha National Park (SNP), a key destination for Himalayan glacier tourism, remains relatively understudied in this context. Existing studies primarily focus on regional inventories or simply inventory landslides and lack tourism-specific hazard assessment. This study evaluates landslide distribution, its controlling factors, and the exposure of infrastructure to varying degrees of landslide susceptibility in SNP. A blind inventory of 680 landslides and twelve conditioning factors, including six topographic and six non-topographic variables, were analyzed using Frequency Ratio (FR), Logistic Regression (LR), and Random Forest (RF) models. In addition, spatial overlay analysis was employed to assess the degree of infrastructure exposure. Results indicate that Land Surface Temperature (LST) is the most dominant factor influencing landslides occurrence, followed by rainfall, elevation, and slope, along with specific aspects like south and west and, land cover class like Barren land and Alpine meadows. Random Forest achieved the highest predictive accuracy (91%), outperforming both Logistic Regression (87%) and Frequency Ratio (84%). Exposure assessment of key tourism infrastructure indicates that trekking routes, helipads, buildings, campsites, and bridges are subject to varying levels of landslide risk. Although only 2.73 km (0.52%) of trekking routes intersect active landslide scars, 147 km (28%) lie within high-exposure zones. Consequently, both typical and paraglacial landslides threaten access to glacier tourism destinations, highlighting significant implications for Nepal’s tourism. Full article

Background/Objectives: Traumatic brain injury (TBI) remains a major global health concern, contributing substantially to mortality and long-term disability. Although sex hormones have been proposed to influence TBI outcomes, sex has not been incorporated into widely used prognostic models. Given the rapidly aging population in Japan, this study aimed to investigate the impact of sex on post-TBI outcomes. Methods: We analyzed data from the Japan Neurotrauma Data Bank, comprising four prospective multicenter cohorts (P1998, P2004, P2009, P2015). Patients with Glasgow Coma Scale (GCS) scores ≥9 at admission were included. Multivariate logistic regression identified predictors of unfavorable outcomes (death, vegetative state, or severe disability) on the Glasgow Outcome Scale. Subgroup analyses stratified by sex and age were performed. Results: Of 717 eligible patients, 195 (27.2%) were females. Females were significantly older than males (median age: 68 vs. 58.5 years). Traffic accidents were more common among females, whereas non-traffic injuries predominated in males. Independent predictors of unfavorable outcomes included age ≥51 years, male sex, GCS 9–12, Injury Severity Score ≥ 16, hypoxia, targeted temperature management, and subarachnoid hemorrhage. Stratified analysis showed that females aged ≥75 years had significantly better outcomes. Conclusions: Female sex was independently associated with more favorable functional outcomes among patients with TBI presenting with admission GCS ≥ 9, particularly among those aged ≥75 years. Although prior studies have reported potential biological influences, the underlying mechanisms remain uncertain. Further investigation of sex differences and associated risk factors may help inform the development of more individualized management strategies for patients with TBI. Full article

Kid health problems are important welfare and productivity concerns in goat farming, yet herd-level patterns and management responses remain poorly described in many production systems. This cross-sectional study investigated farmer-reported kid health problems in Swedish goat herds and their associations with herd size and management practices. An online questionnaire distributed through national goat networks during 2024 yielded 684 completed responses, representing approximately one-third of Swedish goat keepers. Overall, 27.63% of farms (189/684) reported at least one kid health problem during the preceding three years, most commonly gastrointestinal disorders (22.8%), followed by joint-related (15.1%) and neurological conditions (9.0%). A subset of farms (6.0%) reported multiple concurrent types of kid health problems, indicating more complex herd health profiles. The proportion of farms reporting at least one kid health problem increased with herd size; large herds (>50 animals) were more likely to report health problems compared with small herds (RR = 1.51; 95% CI: 1.08–2.10), while medium-sized herds showed modest, non-significant increases. This herd-level outcome is inherently influenced by herd size, as larger herds have a higher probability of observing at least one case. Farms reporting multiple concurrent kid health problems more frequently implemented management measures such as isolation during kidding, early colostrum provision, and selenium supplementation, likely reflecting reactive adoption following previous health challenges rather than proactive prevention. Longitudinal studies using animal-level data are needed to clarify causal relationships. Full article

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine–metabolic disorder associated with insulin resistance (IR), visceral adiposity, and increased cardiometabolic risk. The visceral adiposity index (VAI) is a validated surrogate marker of adipose tissue dysfunction, but its relationship with circulating neurotrophins and adipokine balance in PCOS remains incompletely understood. In this study, 100 women with PCOS were stratified into lower- (n = 50) and higher-risk (n = 50) groups according to VAI. Anthropometric measures, fasting glucose and insulin concentrations, lipid profile, and serum levels of brain-derived neurotrophic factor (BDNF), nerve growth factor-β (NGFβ), leptin, adiponectin, and resistin were assessed. HOMA-IR, adipokine ratios and atherogenic indices were calculated. Multivariate regression showed that BDNF was independently associated with VAI and non-HDL cholesterol, whereas NGFβ was independently linked to HDL cholesterol and estradiol, highlighting neurotrophin relationships with metabolic and endocrine parameters beyond general adiposity. Correlation heatmap and network analyses demonstrated interconnected clusters linking visceral adiposity, IR, dyslipidemia, adipokine imbalance, and neurotrophins, with the leptin/adiponectin ratio emerging as a central integrative marker. These findings suggest that within a PCOS population, VAI-defined cardiometabolic risk is associated with distinct neurotrophin–adipokine signatures, highlighting neurotrophin–adipokine networks underlying visceral adiposity-driven cardiometabolic and endocrine risk. Full article

Pharmacological activation of brain Retinoid X Receptors (RXRs) enhances cognition and facilitates amyloid-beta (Aβ) clearance in Alzheimer’s disease (AD) mouse models, partly by upregulating apolipoprotein E (Apoe), a major AD genetic risk factor. However, the specific cellular contributions to these effects are unclear. Here, we used single-cell transcriptomic profiling to investigate cell subpopulation-specific responses to bexarotene, an RXR agonist, in APP/PS1 mice. Our analysis revealed that bexarotene activated cholesterol biosynthesis and lipid metabolism transcriptional programs in homeostatic astrocytes and oligodendrocytes. Astrocytes also upregulated neurodevelopmental genes, while oligodendrocytes and endothelial cells showed enhanced protein folding and cellular growth pathways. Bexarotene further modulated immune responses, promoting Aβ-responsive signatures in disease-associated microglia and reactive astrocytes while dampening pro-inflammatory responses in homeostatic microglia and endothelial cells. Furthermore, Apoe expression was significantly elevated across multiple cell types, especially in microglia and oligodendrocytes. Cell–cell communication analysis highlighted increased astrocyte-centered signaling, with APOE-driven pathways emerging as a prominent mediator. These findings clarify the molecular complexity of RXR-mediated regulation, revealing the cellular origins of bexarotene’s known effects as well as novel, cell-type-specific responses. This study provides mechanistic insights into RXR-targeted interventions and supports APOE-associated pathways as promising therapeutic targets in AD. Full article

Apolipoprotein E4 (apoE4) is the strongest genetic risk factor for late-onset Alzheimer’s disease (AD). Yet the molecular mechanisms underlying its contribution to AD remain to be fully elucidated. Here, we developed and characterized a set of apoE-specific single-domain antibodies (nanobodies) as a molecular toolbox to investigate intracellular apoE4. The nanobodies bind human apoE with nanomolar to sub-nanomolar affinity and recognize both apoE3 and apoE4. Domain-level epitope mapping revealed nanobodies that selectively bind either an N-terminal (residues 1–173) or C-terminal (residues 170–299) apoE4 fragment. Several nanobodies were validated as endoplasmic reticulum-targeted intrabodies that bind apoE4 intracellularly and promote its intracellular retention. These nanobodies constitute a versatile toolbox for probing and manipulating apoE4 in cellular models. As an exploratory application of this nanobody toolbox, we examined cytosolic apoE4, motivated by previous studies suggesting that cytosolic apoE4 fragments may influence AD-related cellular processes. Cytosolic expression of apoE4 resulted in perinuclear protein assemblies and the appearance of a ~25 kDa apoE4 fragment. Using a nanobody-based nuclear relocalization assay, we showed that cytosolic apoE4 remains accessible for nanobody binding but was not relocated to the nucleus by a nuclear localization signal-equipped nanobody. Altogether, this study introduces a nanobody-based toolbox to investigate apoE4 in distinct intracellular contexts, which can be relevant to AD. Full article

COVID-19 vaccine hesitancy is well documented, but less is known about booster hesitancy among fully vaccinated adults. A qualitative approach was employed to identify factors affecting COVID-19 booster hesitancy using diffusion of innovation (DoI) theory. The study was conducted in Philadelphia, Pennsylvania. In-depth interviews (n = 30) were done with adults, including those who had (n = 9) and had not (n = 21) been boosted. Participants were categorized into DoI adopter groups or a “refuser” group for those with no intention of getting boosted. Transcripts were analyzed using an iterative coding process with consensus and triangulation to develop thematic categories. Participants had a mean age of 41 and were 63.3% Black; 20% were classified as innovators, 6.7% early adopters, 3.3% early majority, 6.7% late majority, 43.3% laggards and 20% refusers. Three themes varied across groups: level of perceived risk susceptibility of getting COVID-19 in the future, information needs and levels of vaccine literacy, and effects of ongoing institutional mistrust. Those in the laggard and refuser groups generally had lower vaccine literacy, higher levels of institutional mistrust, and were more likely to listen to friends and family for booster advice, all consistent with DoI adopter characteristics. These differences indicate important intervention targets to promote booster uptake, especially in those who have been previously vaccinated. Full article

Background/Objectives: Comprehensive management of lifestyle factors is important for long-term survival. This study aims to examine whether a comprehensive healthy lifestyle score (HLS) incorporating overall diet assessment predicts all-cause, cancer, and cardiovascular mortality in Korean population. Methods: This prospective cohort study was conducted among men and women (n = 111,633, 64.6% women) aged 40 to 85 years who participated in the Korean Genome and Epidemiology Study_Health Examinees (Mean age = 55.2, SD = 8.8). Participants completed a baseline questionnaire between 2004 and 2013 and were followed until December 2023. The HLS consisted of five components classified as healthy behaviors: never or former smoking; engaging in ≥30 min/day of moderate-to-vigorous physical activity on ≥5 days/week; alcohol intake ≤40 g/day for men and ≤20 g/day for women; a BMI of 18.5–24.9 kg/m²; and an unhealthful plant-based diet index (uPDI) in the bottom 40th percentile, which reflects overall diet quality and aligns with the traditional plant-rich dietary pattern of Koreans. Diet was assessed using data from baseline and the first follow-up, while the remaining components were measured at baseline only. Cox proportional hazards models were applied to evaluate multivariable-adjusted associations between the HLS and all-cause, cancer, and cardiovascular mortality. Results: During 1,538,490 person-years of follow-up, 5246 all-cause deaths, 2362 cancer deaths, and 815 cardiovascular deaths were documented. Compared with the lowest HLS category, men with the highest HLS had lower risks of all-cause (HR: 0.65, 95% CI: 0.53–0.80), cancer (HR: 0.62, 95% CI: 0.46–0.85), and cardiovascular mortality (HR: 0.34, 95% CI: 0.17–0.66). Among women, the corresponding HRs were 0.38 (95% CI: 0.26–0.55), 0.52 (95% CI: 0.29–0.90), and 0.30 (95% CI: 0.11–0.84), respectively. The inverse association was stronger in older adults (≥55 years) than in younger adults. All five individual lifestyle components, including diet (quintile 5 vs. quintile 1 of uPDI: HR 0.74, 95% CI: 0.66–0.83 in men; HR 0.67, 95% CI: 0.58–0.76 in women), were significantly associated with a lower risk of all-cause mortality. However, when smoking was excluded from the HLS, the inverse association was attenuated, particularly among men. Conclusions: Greater adherence to a healthy lifestyle score was strongly associated with reduced risks of all-cause, cancer, and cardiovascular mortality. These findings underscore the importance of promoting integrated, multi-behavior lifestyle interventions, especially smoking cessation, to reduce premature mortality. Full article

The operational reliability of gears in ship propulsion systems is an important factor affecting safety, efficiency, and cost-effectiveness in ship operation. Gear failures may result in loss of propulsion, increased maintenance costs, and risks to crew safety. This paper presents an integrated methodological framework for assessing gear reliability in ship propulsion systems by integrating qualitative causal analysis, quantitative reliability growth modelling, and system dynamics simulation. The analysis is based on empirical data collected from the AMOS computerised maintenance management system for ship propulsion gear over the course of 20,000 operating hours. The Ishikawa diagram is applied as a qualitative tool to structure potential failure causes related to human, technical, material, procedural, measurement, and environmental factors. Using a system dynamics approach, a qualitative conceptual model of cause-and-effect relationships and a quantitative simulation model were developed, where the mathematical model of Goel–Okumoto reliability growth was applied to quantitatively describe the process of detecting and eliminating failures, with an exponential decrease in failure intensity over time and a high level of agreement with empirical data (R² = 0.9962), corresponding to the part of the bathtub curve related to the running-in of ship systems. The system dynamics simulation implemented in the POWERSIM environment integrates the analytically estimated model parameters and provides a dynamic representation of the relationships between failure intensity, cumulative failures, reliability, and the mean time between failures. The scientific contribution of this work lies in the structured integration of established methods into a single analytical framework, enabling coherent interpretation of empirical reliability data under real operating conditions. The results provide a methodological basis for developing predictive maintenance tools, optimising maintenance strategies, and improving the safety of ship propulsion systems. Full article

Fire smoke, rich in toxic ultrafine particles and polycyclic aromatic hydrocarbons (PAHs), poses significant health risks to first responders and vulnerable populations. In this study, a reproducible combustion–smoke simulation platform was developed to mechanistically quantify fire behavior, particle emissions, and PAH toxicity under controlled heat flux and oxygen conditions. Consistent combustion and smoke emissions were achieved by measuring heat release rate, particle mass, particle number concentration, and PAH concentration, with an overall average coefficient of variation below 15%. Systematic experiments with representative biomass (pine, oak) and plastics (PVC, polystyrene) demonstrate that fuel composition, heat flux, and oxygen availability jointly govern particle formation and PAH partitioning. Regardless of the combustion factors, ultrafine particles dominated the particle number concentration (55.5–86.2%). Plastic combustion generated 7 to 59 times particle mass, up to 260 times higher PAH emissions, and up to 58,500 times greater PAH toxic equivalent quotient (PAH-TEQ) than wood. Oxygen-deficient and smoldering regimes shifted emissions toward fine and ultrafine particles enriched in high-molecular-weight PAHs, revealing a coupled physical–chemical hazard not captured by bulk PM metrics alone. These results establish a quantitative framework linking combustion regime, particle size, and PAH toxicity, providing critical insight for exposure assessment, PPE design, and mitigation strategies in ventilation-limited and mixed-fuel fire scenarios. Full article

Background/Objectives: Adverse childhood experiences (ACEs), including physical and sexual abuse, are significantly associated with long-term health issues, particularly among socially disadvantaged populations. The study examines the social determinants of health, such as poverty, racial inequities, and limited access to care, to assess their association with adverse childhood experiences, including exposure to physical violence and sexual abuse. Methods: We performed multivariable logistic regression analyses using data from the 2023 Georgia Behavioral Risk Factor Surveillance System (BRFSS) (n = 8227) to examine associations between selected ACEs and key social determinants of health (SDOH). Results: Our results indicated that a lack of emotional and social support was associated with increased odds of witnessing parental violence (AOR = 2.00) and physical abuse (AOR = 1.90). Absence of food insecurity was associated with lower odds of witnessing parental violence (AOR = 0.65), unwanted sexual touching (AOR = 0.77), and forced sex (AOR = 0.63). Similarly, not reporting transportation barriers was associated with lower odds across ACE outcomes (AORs ranging from 0.54 to 0.65). Sexual and gender minority individuals exhibited substantially higher odds of childhood sexual abuse (AORs = 3.64–5.56). Hispanic ethnicity was associated with increased odds of physical abuse (AOR = 1.47), and older adults (ages 45–64) had greater odds of experiencing forced sex (AORs = 2.08–2.48). These findings highlight complex relationships between SDOH and early trauma. Conclusions: Trauma-informed public health strategies must address structural inequities and strengthen emotional and material support for vulnerable populations. Full article

Machine learning (ML) models can complement traditional measurement-based approaches by supporting large-scale screening, spatial analysis, and prioritization of buildings for testing of indoor radon, a leading cause of lung cancer among non-smokers. Originating from uranium decay in soil and rock, radon enters homes via foundation cracks and accumulates indoors, influenced by building characteristics, ventilation, urbanization, and geogenic factors. As part of the Zagreb pilot within the “Evidence Driven Indoor Air Quality Improvement” (EDIAQI) project, this is the first ML application for indoor radon analysis in Croatia. This research evaluates residential indoor radon concentrations in Zagreb using ML applied to a dataset of 80 households. Several linear regression and tree-based ensemble methods were tested. The best-performing model (GBR) achieved an R² of 0.99 on the training set and 0.57 on the test set, with an RMSE of 33 Bq/m³ and MAE of 26 Bq/m³. Although predictive performance was moderate and generalization limited, key building characteristics such as construction year, dwelling type, occupancy details, and floor level were identified as relevant variables. The results suggest that machine learning may support radon risk prioritization in urban environments, but cannot replace direct measurements for regulatory purposes. Full article