Search Results (1,703)

Background/Objectives: Understanding the durability of immunity induced by mRNA COVID-19 vaccines, especially in individuals with chronic health conditions, remains essential for guiding booster strategies. We conducted a longitudinal study to evaluate humoral and cellular immune responses up to 21 months after a primary two-dose BNT162b2 vaccination followed by a booster, either homologous (BNT162b2) or heterologous (mRNA-1273). Methods: Twenty-eight adults, mostly with chronic conditions, were assessed at approximately 9, 12 and 21 months post-primary vaccination. Serum anti-trimeric Spike IgG levels were quantified, and peripheral blood mononuclear cells were analyzed at 21 months for Spike-specific memory B-cell and T-cell responses by flow cytometry. Results: Participants were stratified by booster type, prior SARS-CoV-2 infection and health status. Anti-Spike IgG persisted in all participants but declined over time. The heterologous mRNA-1273 booster induced higher antibody titers at 9 months, while the homologous BNT162b2 booster led to more sustained antibody levels and higher frequencies of Spike-specific memory B cells at 21 months. Prior infection significantly enhanced antibody titers, particularly in homologous booster recipients. Surprisingly, individuals with chronic health conditions exhibited equal or higher antibody levels compared to healthy participants at all time points. At 21 months, robust Spike-specific class-switched memory B cells and polyfunctional CD4⁺ and CD8⁺ T-cell responses were detected. Conclusions: These findings demonstrate that BNT162b2 vaccination elicits durable, multi-layered immunity lasting nearly two years, even in individuals with chronic conditions, and support the use of both homologous and heterologous mRNA boosters to sustain protection in diverse populations. Full article

Frame Replication and Elimination for Reliability (FRER) in Time-Sensitive Networking (TSN) enhances fault tolerance by duplicating critical traffic across disjoint paths. However, always-on FRER configurations introduce persistent redundancy overhead, even under nominal network conditions. This paper proposes a predictive FRER activation framework that anticipates faults using a Key Performance Indicator (KPI)-driven bidirectional Long Short-Term Memory (BiLSTM) model. By continuously analyzing multivariate KPIs—such as latency, jitter, and retransmission rates—the model forecasts potential faults and proactively activates FRER. Redundancy is deactivated upon KPI recovery or after a defined minimum protection window, thereby reducing bandwidth usage without compromising reliability. The framework includes a Python-based simulation environment, a real-time visualization dashboard built with Streamlit, and a fully integrated runtime controller. The experimental results demonstrate substantial improvements in link utilization while preserving fault protection, highlighting the effectiveness of anticipatory redundancy strategies in industrial TSN environments. Full article

Wharton’s jelly (WJ), the mucoid connective tissue of the umbilical cord, provides essential protection to the umbilical vessels against mechanical stress. While research into WJ-derived stem cells for regenerative medicine has surged, the clinical significance of its in utero pathologies remains less explored. This review synthesizes the current literature on the pathophysiology of WJ abnormalities and their direct impact on fetal and neonatal outcomes. Pathologies are broadly categorized as quantitative (absence/reduction or excess/edema) and structural (pseudocysts, mucoid degeneration). A reduction or segmental absence of WJ critically compromises cord integrity, leading to vascular compression and is a direct cause of stillbirth, fetal growth restriction (FGR), and intrapartum distress. Conversely, excessive WJ or edema is associated with maternal diabetes and fetal hydrops and can also impair hemodynamics. Umbilical cord pseudocysts, arising from focal WJ degeneration, are significant markers for severe chromosomal abnormalities, particularly Trisomy 18 and 13, and other structural defects, especially when persistent or multiple. Sonographic measurement of WJ area shows promise as a surrogate for placental function, with decreased area correlating with placental pathology and FGR. However, significant diagnostic challenges persist, particularly the prenatal detection of segmental WJ absence, a “silent” pathology often discovered only after a catastrophic event. This review highlights the critical role of WJ integrity in determining perinatal outcomes and underscores the urgent need for improved diagnostic modalities and standardized management protocols to mitigate associated risks. Full article

This study investigates the economic role of wine tourism in Nemea, Greece, a prominent Protected Designation of Origin (PDO) wine-producing region. Employing a mixed-methods approach, the research combines interviews with local stakeholders and a structured post-wine-tasting visitor survey to assess wine tourism’s contribution to local development. A two-step multivariate analysis, incorporating Multiple Correspondence Analysis and Hierarchical Cluster Analysis, reveals five distinct visitor profiles differing in spending behaviour, familiarity with the destination, and engagement patterns. While high-spending visitors support winery revenues, their limited local integration reduces their broader developmental impact. Conversely, younger and repeat domestic visitors offer more dispersed economic benefits through overnight stays, gastronomy, and cultural participation. In addition, local stakeholders highlight the region’s viticultural identity and growing tourism interest as strengths but also note persistent weaknesses such as inadequate infrastructure, limited coordination, and underdeveloped visitor services. The study concludes that visitor segmentation offers actionable insights for enhancing wine tourism’s developmental role. Targeted strategies tailored to specific visitor types are essential for improving integration with the local economy. These findings contribute to ongoing discussions on how wine tourism can act as a lever for inclusive, sustainable rural development in traditional wine regions. Full article

Air quality is crucial for public health and the environment, which makes it important to both monitor and forecast the level of pollution. Polluted air, containing harmful substances such as particulate matter, nitrogen oxides, or ozone, can lead to serious respiratory and circulatory diseases, especially in people at risk. Air quality forecasting allows for early warning of smog episodes and taking actions to reduce pollutant emissions. In this article, we review air pollutant concentration forecasting methods, analyzing both classical statistical approaches and modern techniques based on artificial intelligence, including deep models, neural networks, and machine learning, as well as advanced sensing technologies. This work aims to present the current state of research and identify the most promising directions of development in air quality modeling, which can contribute to more effective health and environmental protection. According to the reviewed literature, deep learning–based models, particularly hybrid and attention-driven architectures, emerge as the most promising approaches, while persistent challenges such as data quality, interpretability, and integration of heterogeneous sensing systems define the open issues for future research. Full article

Background/Objectives: Hepatitis B virus (HBV) remains a persistent challenge for transfusion safety. Although testing for hepatitis B surface antigen (HBsAg) and nucleic acid testing (NAT) reduces transmission risk, antibodies to hepatitis B core antigen (anti-HBc) and antibodies to hepatitis B surface antigen (anti-HBs) provide additional insight into past infection and vaccine-induced immunity. We aimed to determine their seroprevalence among blood donors in southern Croatia and assess associations with age, occupation, and time since vaccination. Methods: This cross-sectional study was conducted between February and November 2024 at two regional transfusion centers in southern Croatia. A total of 1008 voluntary blood donors, all HBsAg- and NAT-negative, were tested for anti-HBc and anti-HBs using chemiluminescent microparticle immunoassay. Demographic and vaccination data were collected through verified medical records. Results: Anti-HBc was detected in 0.5% of donors, exclusively among the unvaccinated. Protective anti-HBs levels were found in 38.1% overall and 70.6% of vaccinated donors, with significant declines by age and more than 15 years post-vaccination (p = 0.024). Healthcare workers showed higher seroprotection than non-healthcare donors (67.0% vs. 35.1%; p < 0.001), although one-third still lacked protective levels. Conclusions: HBV exposure was rare, but waning vaccine-induced immunity was evident, with protective anti-HBs levels in 70.6% of vaccinated donors, declining with age and time since vaccination. These findings highlight the need for periodic monitoring of anti-HBs and targeted booster strategies, especially in older and occupationally exposed groups. HBsAg and NAT provide a high level of transfusion safety, while the role of routine anti-HBc testing in this low-endemic context should be carefully evaluated in view of its potential benefits and drawbacks. Donor-based surveillance is a valuable tool for evaluating long-term vaccine effectiveness and guiding public health policy. Full article

Background/Objectives: Adolescents aged 13–18 are exposed to traumatic content even without direct experience, owing to the increasing media coverage of disasters. Such indirect exposure can result in post-traumatic stress symptoms, including intrusion, avoidance, and hyperarousal, as well as associated emotions such as sadness, anger, and guilt. These effects may persist for months, reflecting the vulnerability of adolescents during cognitive and emotional development. This study examined resilience and social support as protective predictors against indirect trauma. Methods: A cross-sectional correlational design was employed, with middle- and high-school students aged 13–18 years in Seoul, South Korea, as participants. Indirect trauma, resilience, and perceived social support were assessed using validated self-report instruments. Correlation analyses were conducted, followed by stepwise regression. Owing to multicollinearity, resilience was retained as the sole predictor in the final model. Results: The average indirect trauma score was 1.20 out of 4, and 59.2% of participants exhibited partial or full post-traumatic stress disorder. The mean resilience and social support scores were 3.47 and 3.82 out of 5, respectively. Resilience was positively correlated with social support (r = 0.60, p = 0.001). The regression analysis indicated that resilience significantly predicted indirect trauma (β = 0.82, p < 0.001), accounting for 66.4% of the variance, whereas social support showed no direct effect. Conclusions: Resilience emerged as a key predictor of indirect trauma, underscoring its importance in mitigating distress. Although social support did not directly predict trauma, its positive correlation with resilience suggests potential indirect effects. These findings highlight the need to strengthen resilience and expand school-based counseling and support systems to help adolescents deal with indirect trauma. Full article

Background: In recent years, breakthrough varicella cases among individuals who have received a single dose of varicella vaccine (VarV) have increased notably, suggesting that the long-term protection following a one-dose VarV regimen requires further investigation. This study aims to evaluate the immune persistence following a single dose of Sinovac VarV at 5 and 8 years post-vaccination. Methods: In this Phase 4, open-label, observational follow-up study, participants aged 1 to 12 years (referring to the age of vaccination) who had received a single dose of either Sinovac VarV or placebo in the previous phase 3 trial were enrolled in a 1:1 ratio. Blood samples were collected 5 years and 8 years post-vaccination to measure antibody levels against varicella using the fluorescent antibody to membrane antigen (FAMA) method. A total of 487 and 422 participants were included in the 5-year and 8-year immune persistence analyses, respectively. The endpoints comprised the seropositive rates (≥1:4 and ≥1:8) and the geometric mean titers (GMTs) of varicella antibodies at both 5 and 8 years following vaccination. Results: Varicella antibody levels declined from 30 days post vaccination but remained stable from 5 to 8 years. Five years after vaccination, the seropositive rates (≥1:4) of varicella antibody were 100% in the VarV group and 80.83% in the placebo group; for ≥1:8, the rates were 89.07% and 64.17%, respectively. The corresponding GMTs were 1:13.67 and 1:7.71, respectively. Eight years after vaccination, the seropositive rates (≥1:4) were 99.54% in the VarV group and 90.69% in the placebo group; for ≥1:8, they were 88.53% and 74.51%, with GMTs of 1:13.52 and 1:9.91, respectively. Eight years post-vaccination, the seropositive rates and antibody levels in the VarV group remained nearly the same as by 5 years. Conclusions: Sinovac VarV can confer good immune persistence for up to 8 years following a single dose of vaccination in children aged 1 to 12 years. However, given the declining trend in antibody levels over time, revaccination may be needed to maintain protective immunity. Full article

In the face of escalating sociopolitical hostility toward diversity, equity, and inclusion (DEI) efforts, trans and queer (TQ) center(ed) diversity workers in higher education are navigating increasingly precarious professional landscapes. This study explores the lived experiences of TQ-center(ed) diversity workers through a general qualitative design informed by participatory action research (PAR). Drawing on the concept of “burn through,” critiquing the role of institutions in the exhaustion of practitioners, and the theory of tempered radicalism, describing the fine line diversity workers must navigate to advocate for change within oppressive systems, we examine how these practitioners persist amid institutional neglect, emotional labor, and political antagonism. Findings from interviews with eight participants reveal three central themes: the systemic nature of burn through, the protective power of community, and the multifaceted role of liberation in TQ-center(ed) diversity work. Participants described both the toll and the transformative potential of their roles, highlighting community as a critical site of resistance and renewal. This study contributes to the growing literature on TQ advocacy in higher education and underscores the need for institutional accountability and collective care in sustaining liberatory futures. Full article

Oases in arid regions are crucial for sustaining agricultural production and ecological stability, yet few studies have simultaneously examined the coupled dynamics of land use/cover change (LUCC), carbon emissions, and ecosystem service value (ESV) at the oasis–agricultural scale. This gap limits our understanding of how different land use trajectories shape trade-offs between carbon processes and ecosystem services in fragile arid ecosystems. This study examines the spatiotemporal interactions between land use carbon emissions and ESV from 1990 to 2020 in the Wensu Oasis, Northwest China, and predicts their future trajectories under four development scenarios. Multi-period remote sensing data, combined with the carbon emission coefficient method, modified equivalent factor method, spatial autocorrelation analysis, the coupling coordination degree model, and the PLUS model, were employed to quantify LUCC patterns, carbon emission intensity, ESV, and its coupling relationships. The results indicated that (1) cultivated land, construction land, and unused land expanded continuously (by 974.56, 66.77, and 1899.36 km²), while grassland, forests, and water bodies declined (by 1363.93, 77.92, and 1498.83 km²), with the most pronounced changes occurring between 2000 and 2010; (2) carbon emission intensity increased steadily—from 23.90 × 10⁴ t in 1990 to 169.17 × 10⁴ t in 2020—primarily driven by construction land expansion—whereas total ESV declined by 46.37%, with water and grassland losses contributing substantially; (3) carbon emission intensity and ESV exhibited a significant negative spatial correlation, and the coupling coordination degree remained low, following a “high in the north, low in the south” distribution; and (4) scenario simulations for 2030–2050 suggested that this negative correlation and low coordination will persist, with only the ecological protection scenario (EPS) showing potential to enhance both carbon sequestration and ESV. Based on spatial clustering patterns and scenario outcomes, we recommend spatially differentiated land use regulation and prioritizing EPS measures, including glacier and wetland conservation, adoption of water-saving irrigation technologies, development of agroforestry systems, and renewable energy utilization on unused land. By explicitly linking LUCC-driven carbon–ESV interactions with scenario-based prediction and evaluation, this study provides new insights into oasis sustainability, offers a scientific basis for balancing agricultural production with ecological protection in the oasis of the arid region, and informs China’s dual-carbon strategy, as well as the Sustainable Development Goals. Full article

The Okapi Wildlife Reserve (OWR) in northeastern Democratic Republic of the Congo represents both a biodiversity hotspot and the ancestral homeland of the Indigenous Mbuti and Efe peoples, whose livelihoods and knowledge systems are closely tied to forest resources. This study investigates how Indigenous knowledge and practices contribute to sustainable resource management under conditions of rapid socio-cultural transformation. A mixed-methods approach was applied, combining socio-demographic surveys (n = 80), focus group discussions, floristic inventories, and statistical analyses (ANOVA, logistic regressions, chi-square, MCA). Results show that hunting, fishing, gathering, and honey harvesting remain central livelihood activities, governed by customary taboos and restrictions that act as de facto ecological regulations. Agriculture, recently introduced through intercultural exchange with neighboring Bantu populations, complements rather than replaces traditional practices and demonstrates emerging agroecological hybridization. Nevertheless, evidence of biodiversity decline (including local disappearance of species such as Dioscorea spp.), erosion of intergenerational knowledge transmission, and increased reliance on monetary income indicate vulnerabilities. Multiple Correspondence Analysis revealed a highly structured socio-ecological gradient (98.5% variance explained; Cronbach’s α = 0.977), indicating that perceptions of environmental change are strongly coupled with demographic identity and livelihood strategies. Floristic inventories confirmed significant differences in species abundance across camps (ANOVA, p < 0.001), highlighting site-specific pressures and the protective effect of persistent customary norms. The findings underscore the resilience and adaptability of Indigenous Peoples but also their exposure to ecological and cultural disruptions. We conclude that formal recognition of Indigenous institutions and integration of their knowledge systems into co-management frameworks are essential to strengthen ecological resilience, secure Indigenous rights, and align conservation policies with global biodiversity and climate agendas. Full article

Marine pollution incidents pose significant threats to marine ecosystems and coastal communities across Pacific Island nations, necessitating advanced predictive capabilities for effective environmental management. This study analyzes 8133 marine pollution incidents from 2001–2014 across 25 Pacific Island nations to develop predictive models for pollution type classification, hotspot identification, and seasonal pattern forecasting. Our analysis reveals Papua New Guinea as the dominant pollution hotspot, experiencing 51.9% of all regional incidents, with plastic waste dumping comprising 78.8% of pollution events and exhibiting pronounced seasonal peaks during June (coinciding with critical fish breeding periods). Machine learning classification achieved 99.1% accuracy in predicting pollution types, with material composition emerging as the strongest predictor, followed by seasonal timing and geographic location. Temporal analysis identified distinct seasonal dependencies, with June representing peak pollution activity (755 average incidents), coinciding with vulnerable marine ecological periods. The predictive framework successfully distinguishes between persistent geographic hotspots and episodic pollution events, enabling targeted conservation interventions during high-risk periods. These findings demonstrate that pollution type and location are highly predictable from environmental and temporal variables, providing marine conservationists with tools to anticipate when and where pollution will most likely impact fish populations and ecosystem health. The study establishes the first comprehensive baseline for Pacific Island marine pollution patterns and validates machine learning approaches for proactive pollution monitoring, offering scalable solutions for protecting ocean ecosystems and supporting evidence-based policy formulation across the region. Full article

Background and Objectives: Laryngeal cancer imposes a disproportionate burden on speech, airway protection and long-term quality of life. Contemporary population-based data for Central and Eastern Europe remain scarce, and the post-pandemic trajectory is uncertain. Materials and Methods: We performed a nationwide, retrospective ecological time-series study using Romanian mortality registers and hospital-discharge files for 2017–2023. Crude and age-standardised mortality rates (ASMRs) were calculated, county-level indirect standardisation and spatial autocorrelation assessed and joinpoint regression quantified temporal trends. Forecasts to 2040 combined Holt–Winters/ARIMA models with Elliott-wave heuristics anchored to Fibonacci retracements. Results: In 2023, 798 laryngeal cancer deaths yielded a crude mortality of 3.65/100,000 (95% CI 3.41–3.91). Male mortality (7.07/100,000) exceeded female mortality 18-fold. Rural residents experienced a higher rate than urban counterparts (4.26 vs. 3.04/100,000), a difference unchanged after indirect age standardisation. National ASMR fell by 3.7% annually (p < 0.01), yet five counties formed a high-risk corridor (standardised mortality ratios 1.59–1.82); Moran’s I = 0.27 (p < 0.01) indicated significant spatial clustering. Pandemic-era surgical throughput collapsed by 48%, generating a backlog projected to persist beyond 2030. Ensemble forecasting anticipates a doubling of discharges and mortality between 2034 and 2037 unless smoking prevalence falls by ≥30% and radon exposure is curtailed. Conclusions: Although overall laryngeal cancer mortality in Romania is declining, the pace lags behind Western Europe and is threatened by geographic inequities and pandemic-related care delays. Aggressive tobacco control, radon-remediation policies and expansion of surgical and radiotherapeutic capacity are required to avert a forecasted surge in the next decade. Full article

The study investigates the use of powerful machine learning approaches to the real-time detection of phishing URLs, addressing a critical cybersecurity concern. The dataset we utilized in this research work was collected from the University of California Irvine (UCI) Machine Learning Repository. It has 235,795 instances with fifty-four distinct parameters. The label class is of binomial type and has only two target classes. We used a range of complex algorithms, including k-nearest neighbor, naive Bayes, decision trees, random forests, and random tree, to assess the discriminative characteristics retrieved from URLs. The random forest classifier beat the other classifiers, reaching the greatest accuracy of 99.99%. The study demonstrates that these models achieve superior accuracy in identifying phishing attempts, significantly outperforming traditional detection methodologies. The findings underscore the potential of machine learning to provide a scalable, efficient, and robust solution for real-time phishing detection. Implementing these innovative platforms to existing security solutions is going to play a critical role in sustaining the protective line against continuously evolving and persistent phishing schemes. Full article

Transcatheter Aortic Valve Implantation (TAVI) has revolutionized the treatment of severe aortic stenosis in high-risk and inoperable patients. Despite significant advancements in patient selection, techniques, and the evolution of TAVI devices, stroke persists as a consistent adverse event over time, presenting a devastating complication of TAVI procedures and exerting a significant negative prognostic impact. Both acute and subsequent strokes following TAVI continue to pose significant challenges, with substantial implications for patient morbidity and mortality. This paper reviews the incidence, mechanisms, risk factors, and preventive strategies for stroke in TAVI, highlighting recent advancements, particularly in current protective devices, and ongoing challenges in minimizing this adverse outcome. Full article