Search Results (39,321)

Glutathione-S-Transferase T1 (GSTT1) and M1 (GSTM1) are key enzymes involved in phase II detoxification. Null genotypes resulting from gene deletions are known to cause a complete loss of enzymatic activity and have been associated with altered xenobiotic metabolism in previous studies. Although genotype frequencies vary across ethnic groups, data from non-European populations, particularly Andean populations, remain limited. In this cross-sectional study, the frequency of GSTM1 and GSTT1 null genotypes was determined in 206 individuals from Cusco and Junín. Genotyping was performed by PCR using genomic DNA extracted from peripheral blood. The frequency of the GSTM1 null genotype was 49.51%, whereas that of GSTT1 was 25.24%. Combined genotype analysis showed that 63.11% of participants carried at least one null genotype and 11.65% carried both null variants. No significant differences were observed between Cusco and Junín. Compared with previously reported data, these frequencies were similar to those observed in Peruvian coastal and several South American populations. At the intercontinental level, frequencies were comparable to Europe, the Middle East, and Asia but differed from Sub-Saharan Africa and Native American populations. This first molecular characterization of GSTM1 and GSTT1 null genotypes in Andean populations provides a population-specific genetic baseline for pharmacogenetics and precision medicine research in high-altitude settings. Full article

The growing complexity of school leadership, intensified by increasing accountability and administrative demands, has heightened the need to understand principals’ wellbeing. This study examines the wellbeing of 161 public primary school principals in Greece, focusing on the factors that shape their professional experience and overall functioning. Survey findings indicate generally high levels of emotional, cognitive, social, psychological, and spiritual wellbeing, although physical wellbeing was noticeably lower. A significant gender difference emerged, with male principals reporting higher overall wellbeing than female principals, highlighting the relevance of gendered experiences in leadership roles. Job satisfaction also proved central, showing a strong positive association with all six dimensions of wellbeing and underscoring its importance for sustaining principals’ resilience and effectiveness. Beyond individual characteristics, several organizational factors—including relationships with staff, working conditions, school climate, and administrative workload—were identified as key contributors to principals’ wellbeing and daily practice. These conditions illustrate how organizational environments can enhance or strain leaders’ capacity to navigate evolving role expectations. Qualitative insights further clarified how personal attributes and school-level circumstances interact with these broader dynamics. Overall, the study illuminates the interplay between gender, job satisfaction, and contextual factors in shaping principals’ wellbeing, offering evidence to inform targeted support within contemporary educational settings. Full article

The rapid development of digital technologies presents both a challenge and an opportunity for strengthening sustainability in construction project management. Within the broader digitalization agenda, Building Information Modelling (BIM) and Artificial Intelligence (AI) have emerged as key tools for improving environmental and economic performance through resource optimization. While traditional methods for optimizing resources, costs, and time remain relevant, the integration of BIM and AI introduces innovative capabilities that support decision-making, process automation, and data-driven sustainability strategies. The aim of this research is to analyze the extent to which BIM and AI are used for sustainable resource optimization in construction and to quantify their potential impact on the optimization of costs, resources, and time in the sector. A cross-sectional survey was conducted among construction companies operating in three European markets, Slovakia, Slovenia, and Croatia. The collected data were analyzed using descriptive statistics, correlation and regression analysis, and statistical hypothesis testing to assess the significance of relationships between technology adoption and sustainability outcomes. The results confirm that BIM adoption is positively correlated with improved sustainability management and optimization practices, with usage levels varying by company size and project scale. In contrast, AI adoption remains at a low level, indicating untapped potential for broader application. These findings contribute to understanding the role of digital tools in driving sustainable transformation in the construction sector and highlight areas for further research and practical deployment. BIM demonstrates particularly strong correlations with cost planning (r = 0.983), resource planning (r = 0.964), and schedule planning (r = 0.867), while AI shows robust associations with cost planning (r = 0.925), schedule planning (r = 0.865), and resource planning (r = 0.809). The findings indicate that maximum effectiveness is achieved when BIM and AI are deployed in a complementary manner under skilled human oversight. Full article

In this study, we employ the panel smooth transition (PSTR) model to establish a nonlinear framework for examining the relationship between international oil prices and stock returns in China. We specifically investigate how economic policy uncertainty (EPU) acts as a threshold-driven moderator in this relationship. We analyze data from August 2007 to November 2023 and select the EPU index from seven representative countries to examine its cross-border effects on China’s oil–stock relationship. Furthermore, we incorporate an analysis of industry heterogeneity to gain a deeper understanding of how international crude oil prices impact stocks in both upstream and downstream industries. Our findings reveal the following: (1) Under the influence of EPU, there is a significant nonlinear regime-switching effect between international oil prices and Chinese stock returns. (2) Sensitivity to U.S. EPU is the highest, but its effect on risk magnification is the weakest. In contrast, European EPU shows lower sensitivity but a more pronounced risk magnification effect. (3) Chinese EPU significantly amplifies the risk for midstream manufacturing stocks more than for downstream consumer service stocks. This variation reflects the differing abilities of industries to transfer costs along the supply chain; however, there are no substantial differences in sensitivity. Full article

This study constructs a global transportation carbon emission spatial correlation network via a modified gravity model and explores its evolutionary characteristics and dynamic mechanisms by integrating three-dimensional evolutionary analysis (node, overall, structural) and temporal exponential random graph model (TERGM). The main findings are as follows: (1) Global transportation carbon emission spatial correlation intensity keeps rising, with improved connectivity and integration, forming three regionally agglomerated correlation poles centered on the United States (America), China (Asia) and major European countries (Europe). (2) Network centrality distributes asymmetrically: Switzerland, Norway and the United States remain core nodes, while China, Japan and other Asian economies with strong direct correlation radiation are not in the core tier. (3) Third, evolutionary dynamics stem from the synergistic interaction of multidimensional attributes. ① Economic level positively drives bidirectional connection emission and attraction; economic scale and openness curb emission but boost attraction, while tertiary industry structure inhibits both. ② Only economic level and government efficiency exert significant positive effects on absdiff, fostering network heterophilic attraction. ③ Spatial and institutional proximity in edgecov effectively facilitate connection formation. ④ Endogenous network variables present a collaborative mechanism of reciprocity and transmission, constrained by network density. ⑤ Temporal effects show early connection structure forms path dependence, resulting in low dynamic variability and overall network stability. Full article

The integration of artificial intelligence (AI) into education in the United Arab Emirates (UAE) is moving rapidly as it becomes increasingly mandatory, yet schools often lack the proper expertise and resources to achieve successful implementation. AI integration is not just about having access to AI large language models and supplying schools with the right machines; it is also about ensuring the right preparation before introducing the tools and connectivity. Existing research has primarily focused on technological capabilities or individual attitudes, offering limited insight into how human, organizational, and well-being factors jointly shape institutional readiness. This study examines the determinants of AI adoption readiness in K–12 education using quantitative survey data collected from 602 teachers across public and private schools in the United Arab Emirates. The study builds on the technology–organization–environment framework and behavioral perception theory to test the influence of multiple factors on perceived usefulness. Professional development availability, school encouragement, access to AI tools, work–life balance, teaching experience, and institutional readiness in schools were examined. The findings of this study suggest that cultural readiness is as important as technical readiness. In addition, it underscores the primacy of perception, leadership support, and infrastructure alignment in shaping the transformation. This study presents an empirically tested explanatory framework that may inform policymakers and school leaders seeking to conduct AI transformation. It also offers practical implications for designing professional development, leadership strategy, and implementation models to support sustainable AI integration. Full article

Background and Objectives: People with epilepsy frequently complain of poor sleep quality, excessive daytime sleepiness (EDS), and insomnia. Therefore, this study aimed to evaluate differences in anxiety and depression symptoms, as well as clinical characteristics, across groups defined by sleep quality in patients with epilepsy. Materials and Methods: Seventy-eight adults with epilepsy were assessed using standardized questionnaires for sleep quality (Pittsburgh Sleep Quality Index, PSQI), daytime sleepiness (Epworth Sleepiness Scale, ESS), insomnia severity (Insomnia Severity Index, ISI), and psychiatric symptoms (PHQ-9, GAD-7, and HADS). Demographic data (age and sex), seizure frequency and characteristics, use of antiepileptic drugs (AEDs), and EEG findings were collected. Patients were divided into groups based on sleep quality scores, and comparisons were made regarding anxiety, depression, and selected clinical variables. Associations were analyzed using t-tests, chi-squared tests, and Spearman correlation coefficients. Results: Poor sleep quality (PSQI > 5) was present in 70.9% of patients and was significantly associated with insomnia, daytime sleepiness, depression, and anxiety symptoms (p < 0.001 for all comparisons). Patients who had experienced generalized tonic–clonic seizures (GTCS) in the past year had significantly worse sleep quality compared to those without GTCS (p = 0.025). Clinical insomnia (ISI ≥ 15) was observed in 23.1% of cases and was significantly associated with the presence of seizures (p = 0.015). EDS was present in 19% of cases and was associated with depressive symptoms (p = 0.019). A higher concentration of levetiracetam was associated with better sleep quality, whereas a higher concentration of lamotrigine was associated with worse sleep quality (p = 0.024 for both). EEG abnormalities, seizure frequency, and duration of epilepsy were not associated with sleep quality. Conclusions: Poor sleep quality was reported in 70% of the study patients and was associated with increased insomnia severity, EDS, and psychiatric comorbidities. People with EDS were more likely to have higher levels of depression and anxiety. Patients who experienced GTCS within the past year were significantly more likely to report poor sleep quality. Insomnia was associated with older age and female sex. Seizure-free patients had less insomnia. Nevertheless, no associations were found between sleep evaluation scores and other demographic or clinical epilepsy characteristics. Full article

Earthquake Early Warning (EEW) systems based on on-site measurements enable ultra-rapid alerts by exploiting the time gap between the arrival of P-waves and the subsequent damaging S-waves. A central challenge is the reliable estimation of impending ground motion using only the earliest portion of the signal. This study investigates a site-specific methodology based on the S/P amplitude ratio for near-real-time seismic acceleration estimation at the Iași stations, Romania, in a region dominated by Vrancea intermediate-depth seismicity. Using 50 strong-motion records from the European Strong-Motion (ESM) database, a local calibration coefficient of k = PGA_S/PGA_P = 6.2 was derived for the Iași area, consistent with its soft-soil conditions and with values reported for comparable sedimentary environments worldwide. A regional analysis confirms that the S/P ratio is primarily governed by local site effects, requiring station-level calibration. The methodology was experimentally validated through shaking-table tests using real P-wave recordings. Predicted S-wave peak ground accelerations exhibit no systematic bias, with a median relative error of +2.0% and dispersion consistent with the intrinsic log-normal variability of the S/P ratio. The results demonstrate that a locally calibrated S/P ratio provides a robust and physically grounded basis for rapid seismic acceleration estimation in on-site EEW systems. Full article

Wolves (Canis lupus) have recolonized Belgium after more than a century of absence, raising concerns about interactions with livestock in densely populated regions such as Flanders. Empirical field-based documentation of wolf behavior near protected livestock in such landscapes remains limited. This study presents a short-term, descriptive camera-trap case study documenting wolf presence near a temporary sheep pasture protected by electric fencing and livestock guardian dogs (LGDs). Nineteen camera traps monitored the pasture perimeter within a military training area in northeastern Flanders over a 16-day period in September 2023. Sheep were present for 11 days and accompanied by six LGDs. Twenty-three wolf images were recorded, corresponding to eight distinct detection events. Wolves were detected shortly after fence installation and following sheep removal. Occasional close approaches and fence inspection behavior were observed, but no fence crossings or predation events occurred. Most wolf detections occurred when sheep and LGDs were absent, although wolves were also recorded near periods of human activity. Given the observational design, causal inference is not possible. The study provides baseline documentation of wolf–livestock–LGD interactions in a densely populated European landscape. Full article

The European Union Aviation Safety Agency (EASA) is developing guidelines to certify AI-based systems in aviation with learning assurance as a key framework. Central to the learning assurance are the definitions of a Concept of Operations, an Operational Domain, and an AI/ML constituent Operational Design Domain (ODD). However, because no further guidance on these concepts is provided to developers, this work introduces a framework for defining them. For the concepts of the Operational Domain of the overall system and the AI/ML constituent ODD, a tabular definition language is introduced. Furthermore, processes are introduced to define the different necessary artifacts. During the specification process for the AI/ML constituent ODD, existing steps were identified and consolidated, including the identification of domain-specific concepts for the AI/ML constituent. To validate the framework, it was applied to the pyCASX system, which employs neural-network-based compression. For this use case, the framework produced an AI/ML constituent ODD with finer detail than other ODDs defined for the same airborne collision avoidance use case. Thus, the proposed novel framework is an important step toward a holistic approach aligned with EASA’s guidelines. Full article

Aflatoxin M1 (AFM₁) is a carcinogenic milk contaminant and a persistent food safety concern in Serbia, especially under changing climate conditions that exacerbate contamination risks. This review synthesizes national research conducted between 2012 and 2024, covering more than thirty thousand analyzed milk and dairy samples, to evaluate AFM1 contamination, public health risks, and the need for structured risk ranking and prioritization frameworks recommended by the Food and Agriculture Organization (FAO) and the European Food Safety Authority (EFSA). A systematic analysis of Serbian studies explored AFM₁ occurrence, dietary exposure, and health risk estimates across population groups. The evidence reveals persistent AFM1 contamination with pronounced seasonal peaks during drought years and winter months, frequently exceeding the EU maximum limit of 0.05 µg/kg. Recent multi-year studies confirm that climate-driven AFB1 contamination in maize and compound feed remains a significant and recurring source of AFM1 in milk, highlighting the necessity of structured risk prioritization frameworks. Exposure assessments highlight children and students as the most vulnerable groups, displaying the highest estimated daily intake. Although current margin of exposure (MOE) values remain within acceptable limits, the persistence of contamination underscores a need for proactive risk management. Adoption of FAO and EFSA risk-ranking methodologies would enhance monitoring efficiency, protect high-risk populations, and support alignment with EU standards. Implementing structured risk prioritization is crucial for strengthening Serbia’s food safety governance, guiding policy decisions, and reducing the health burden of AFM₁ in the dairy sector. Full article

Background/Objectives: Keeping physical activity (PA) at an optimal level is important for protecting independence and keeping quality of life at the highest level while adopting healthy aging. This study aimed to estimate the PA levels of the older population living in Northern Cyprus and to examine the relationship between barrier and facilitator factors and PA levels. This is a cross-sectional population-based study. Methods: Detailed sociodemographic information was recorded and the PA level of the participants was evaluated using the Physical Activity Scale for the Elderly (PASE). Facilitators and barriers to participation in PA were assessed by questionnaire. Results: A total of 387 older individuals (224 women and 163 men; mean age: 74.3 ± 3.12) were grouped as youngest-old (68.31 ± 3.05) and old (80.29 ± 3.21). PA frequency and PASE scores were low in the overall study population and they were higher in the youngest-old group (p < 0.001). Conclusions: Low PA levels were estimated in older adults living in Northern Cyprus and they were significantly higher in the youngest-old group compared with the old group. There is a relationship between PA level and barriers such as fear of falling, fear of injury, comorbidities, shortness of breath, heart palpitations, incontinence, not knowing the benefits of PA, financial problems, not driving, and doing PA alone. Facilitators such as weight loss; living in a walkable area; friendship with groups; and being active, energetic, happy, and safe are related to PA level. This study highlights the importance of increasing PA levels by increasing awareness of the importance of PA in the older adult population, removing the barriers and using facilitators. Full article

Achieving improvement of energy performance in listed buildings remains a complex challenge due to the need to combine innovative solutions with preservation of the characteristics that define the historical and architectural value of these buildings. The aim of this study is to better understand the state of the art regarding the compatibility of energy efficiency measures with the protection of listed buildings. A systematic review was performed that included peer-reviewed publications in English and Italian from Scopus, Web of Science, and Google Scholar (last search: November 2025). Sixty-nine studies were included and organized into methodological, applicative, review and theoretical-reflective studies. Results show a European predominance, particularly Italian, and identify four recurring themes: balancing efficiency with conservation, decision-making processes, evaluation criteria, and technological strategies. Current research is focusing on developing objective evaluation methods, moving toward multi-criteria methodologies that quantify aesthetic, technical, and environmental compatibility. While there is a preference for minimally invasive and reversible technological solutions, the review reveals a lack of shared protocols and limited generalizability of results. The study concludes that a strategic shift is required: moving from isolated experiments to integrated urban policies. Furthermore, it highlights a need for increased technical training to bridge the gap between research and practical application. Future research should focus on validating evaluation criteria using real cases and developing regional policy tools to support decision-making. This review was not registered. Full article

This paper explores the intertwined relationship between food systems and climate change, emphasizing their role in achieving the global target of limiting warming to 1.5 °C above pre-industrial levels. Food systems contribute significantly to greenhouse gas emissions; approximately 30% of global CO₂ emanates from agricultural practices, livestock production, and export-oriented supply chains. Conversely, climate change disrupts food production via rising temperatures, sea-level rise, and water scarcity, particularly in vulnerable regions such as Namibia and other parts of the Southern Hemisphere. In contrast, the European Arctic faces unique opportunities and challenges. This paper highlights mitigation and adaptation strategies, including smart agriculture technologies and genetic crop engineering. Behavioural shifts toward plant-based diets and strengthening local food systems are identified as critical for reducing emissions and enhancing resilience. Furthermore, the value of Indigenous knowledge and traditional food systems, which promote biodiversity, minimize fossil fuel use, and offer climate-resilient crops, is highlighted. Institutional capacity and governance frameworks are pivotal for implementing these solutions. The authors advocate for co-production of knowledge between the Northern and Southern Hemispheres, ensuring equitable adaptation rather than one-way technology transfer. Ultimately, integrated strategies combining technological innovation, policy reform, and cultural resilience are essential to break the cycle between food systems and climate change, fostering global cooperation toward the 1.5 °C goal. Full article

Functional foods have attracted increasing scientific and commercial interest due to their potential roles in health promotion and the prevention of non-communicable diseases such as diabetes and cardiovascular diseases. In this review, we will critically examine the current evidence on functional foods by focusing on their classification, bioactive components, biological mechanisms, consumer acceptance and regulatory frameworks. Bioactive compounds, such as polyphenols, dietary fibre and probiotics, from both plant- and animal-origin functional foods, have also been examined in this review. Despite substantial experimental and epidemiological evidence, the translation of functional foods into consistent health benefits remains challenged by variability in bioavailability, food matrix effects, processing conditions and interindividual differences in genetics and gut microbiota. Key mechanistic determinants of bioefficacy, including intestinal transport processes, molecular structure, stereochemistry, and food–drug interactions, are discussed. Consumers’ perception and purchasing behaviour are examined, identifying the influence of product format, socio-demographic characteristics, information sources, health motivation and price sensitivity. Our review also compares the regulatory approaches in the United States, European Union, Japan and China, highlighting the heterogeneity in definitions and health claim substantiation requirements. Finally, emerging opportunities such as metabolic profiling technologies and personalised nutrition are highlighted as future directions to support evidence-based, effective and equitable functional food development. Full article