Search Results (9,869)

Transonic shock buffet is a complex flow phenomenon characterized by self-sustained shock oscillations, which severely limits the flight envelope of modern civil aircraft. While Shock Control Bumps (SCBs) have been widely studied for drag reduction, their potential for delaying the buffet boundary on swept wings has yet to be fully explored. This study employs numerical analysis to investigate the efficacy of three-dimensional (3D) contour SCBs in delaying the buffet boundary of the NASA Common Research Model (CRM) wing. The buffet boundary is identified using both the lift-curve slope change and trailing-edge pressure divergence criteria. The results reveal that 3D SCBs generate streamwise vortices that energize the boundary layer, thereby not only weakening local shock strength but, more critically, suppressing the spanwise expansion of shock-induced separation. Collectively, the reduction in shock strength and the containment of spanwise separation delay the buffet boundary, thereby improving the aerodynamic efficiency of the wing. Two configurations, designed at different lift conditions (SCB-L at $C_L=0.460$ and SCB-H at $C_L=0.507$), demonstrate a trade-off between buffet delay and off-design drag reduction. The SCB-H configuration achieves a buffet boundary lift coefficient improvement of 6.3% but exhibits limited drag reduction at lower angles of attack, whereas the SCB-L offers a balanced improvement of 4.0%, with a broader effective drag-reduction range. These results demonstrate that effective suppression of spanwise flow is key to delaying swept-wing buffet and establish a solid reference framework for the buffet-oriented design of SCBs. Full article

The application of nanotechnology in medicine has garnered significant interest, particularly in the development of advanced drug delivery systems. Graphene oxide (GO) shows promise as a carrier for delivering microRNA (miRNA) mimics or antisense constructs. miRNAs play a crucial role in regulating gene expression, and their dysregulation is associated with various diseases, including cancer. This study aimed to evaluate the impact of graphene oxide on cellular signaling pathways and its potential as a platform for gene delivery by developing a GO–antisense miRNA-21 nanosystem in HepG2 liver cancer cells. A colloidal dispersion of GO was used to prepare GO-antisense miRNA-21 nanosystems via self-assembly. The nanosystem was characterized in terms of ultrastructure, size distribution, surface composition and binding by TEM, DLS, ATR-FTIR and UV-Vis spectra. Zeta potential measurements were conducted to evaluate nanosystem stability by assessing the release kinetics of antisense miRNA-21. The efficiency of the GO nanosystem in delivering antisense miRNA-21 into HepG2 cells was analyzed using confocal microscopy and flow cytometry. Given the central role of miRNA-21 in inflammatory and oncogenic pathways, we first assessed its expression following GO exposure. In line with previous studies reporting high miRNA-21 expression in hepatocellular carcinoma cells, GO treatment further increased miRNA-21 levels in HepG2 cells compared with untreated controls. Changes in the expression levels of IL-8, MCP-1, ICAM-1, TIMP-2, and NF-kB were quantified by qPCR analysis. The ultrastructural analysis confirmed a strong affinity between GO and antisense miRNA-21. Transfection results demonstrate that the GO-based nanosystem effectively delivered antisense miRNA-21 into HepG2 cells, leading to a reduction in the expression of key pro-inflammatory genes. These findings suggest that GO-based nanocarriers may offer a promising strategy for delivering localized intratumoral miRNA-based therapies that target gene regulation in hepatocellular carcinoma. Full article

Background/Objective: Nutrition security, defined as consistent access to and consumption of nutritious foods that support health, remains a persistent challenge in rural populations. The HEALTHY (Helping Early Adolescents Live Their Healthiest Youth) program aimed to improve rural adolescents’ nutrition security through school-based strategies. This study evaluated its effectiveness by examining changes in fruit consumption, fruit waste, and skin carotenoid levels. Methods: A quasi-experimental, pre–post program was assessed in five rural middle schools (two experimental sites, three comparison sites). The programming paired four biweekly smoothie taste tests with nutrition education grounded in Social Cognitive Theory and Choice Architecture. Students in grades 3–8 (N = 149) participated. Digital tray photographs quantified selection and waste. The Veggie Meter^® assessed skin carotenoids on a scale from 0 to 800. Surveys captured perceptions and self-reported intakes. Analyses included χ², McNemar’s, GLMM, paired t-tests, and ANCOVA. Significance was set at p < 0.005. Results: At post-program, 98.3% of experimental trays contained the standard fruit option and/or a smoothie, compared with 41.0% of comparison trays (χ² = 41.66, p < 0.001). Fruit selection odds were 16.22 times higher in experimental schools (95% CI: 6.30–41.77, p < 0.001). Among trays with both (n = 39), smoothie waste was lower than the standard fruit option waste (t(38) = −7.10, p < 0.001, d = 1.14), resulting in greater estimated consumption (~0.43 vs. ~0.15 cups). Skin carotenoids increased in both groups, with greater improvement among experimental students in the lowest baseline quartile, F (1,19) = 9.20, p = 0.007, partial η² = 0.326. Conclusions: The HEALTHY program, which paired frozen-fruit smoothies with nutrition education, may offer a feasible and scalable approach to improving nutrition security among rural adolescents. Full article

The aim of this article is to present the social–ecological system (SES) as a unit of analysis for sustainable water management under conditions of anthropogenic pressure in Poland. In the face of accelerating climate change and growing human impacts, Polish water systems are exposed to increasing ecological stress and to material and immaterial losses affecting local communities. The SES approach provides an integrative analytical framework that links ecological and social components, enabling a holistic view of adaptive and governance processes at multiple spatial scales, from municipalities to areas that transcend administrative boundaries. Methodologically, this study triangulates three complementary approaches to strengthen explanatory inference. This conceptual SES review defines the analytical categories used in the paper, the bibliometric mapping (Scopus database with VOSviewer) identifies dominant research streams and underexplored themes, and the qualitative Polish case studies operationalize these categories to diagnose mechanisms, feedbacks, and governance vulnerabilities under anthropogenic pressure. The bibliometric analysis identifies the main research streams at the intersection of SES, water management and sustainable development, revealing thematic clusters related to climate change adaptation, environmental governance, ecosystem services and hydrological extremes. The case studies - the 2024 flood, the 2022 ecological disaster in the Odra River, and water deficits associated with lignite opencast mining in Eastern Wielkopolska - illustrate how anthropogenic pressure and climate-related hazards interact within local SES and expose governance gaps. Particular attention is paid to attitudes and social participation, understood as configurations of behaviors, knowledge and emotions that shape decision-making in local self-government, especially at the municipal level. This study argues that an SES-based perspective can contribute to building the resilience of water systems, improving the integration of ecological and social dimensions and supporting more sustainable water management in Poland. Full article

Background/Objectives: This study explores the diagnostic and management pathways for dyspareunia in women seeking specialist care, focusing on gynecologists’ feedback and women’s perceptions of their experience. Methods: An online survey was conducted among 225 sexually active women to explore their perceptions of dyspareunia, its impact on relationships, and experiences with healthcare feedback, diagnosis, and treatment. The Numeric Rating Scale (NRS) for pain assessment and the Female Sexual Function Index (FSFI) were used. Gynecologists’ feedback was classified as positive, neutral, or negative based on its influence on the therapeutic pathway. Results: Of 78 women reporting dyspareunia, 12 with pain level ≥5 on NRS were selected for in-depth analysis. The mean pain score was 7.0 ± 1.53, with symptoms lasting from several months to over two years and occurring during most sexual encounters. The mean FSFI score was 24.86 ± 4.54, with half of the participants scoring within the sexual dysfunction range. Qualitative findings revealed frequent dismissive responses from healthcare professionals and limited access to appropriate management. Common self-management strategies included changing sexual positions and using lubricants, while half of the participants had not undergone a formal diagnostic process. Most frequent diagnoses were hormonal disorders and recurrent genital tract infections, and women were advised to undergo pharmacological treatment. Half of the participants were unaware of the possibility of physiotherapeutic management. Conclusions: Women with dyspareunia often face an inadequate diagnostic and therapeutic process. The care received is often insufficient and not aligned with a biopsychosocial model. Full article

Background: Self-amplifying mRNA (sa-mRNA) represents a promising platform for vaccines and gene therapies, offering sustained protein expression at low doses through self-replication. For vaccines targeting respiratory pathogens, pulmonary delivery of sa-mRNA lipid nanoparticles (LNPs) is particularly advantageous, enabling direct delivery to the infection site and induction of mucosal immunity. Objective: In this study, we evaluated the stability of sa-mRNA–LNPs under refrigerated and frozen conditions and developed a dry powder formulation suitable for inhalation, produced by freeze-drying followed by cryomilling with leucine. Methods: sa-mRNA–LNPs formulated in HEPES buffer with 20% (w/v) sucrose were stored for up to 8 weeks as liquid or freeze-dried samples at various temperatures (−80 °C, −20 °C, 4 °C, and 20 °C). Biological stability was assessed by transfection efficiency in HeLa cells, while physical stability was characterized by encapsulation efficiency, zeta potential, particle size, and polydispersity index. Results: Liquid formulations remained stable for at least 8 weeks at −80 °C and −20 °C but rapidly lost stability at 4 °C and 20 °C. Freeze-drying effectively preserved sa-mRNA–LNP functionality and structural integrity for up to 8 weeks at 4 °C, with only minor structural changes. Subsequent cryomilling in the presence of 4 wt-% leucine produced a respirable dry powder while retaining approximately 60% of the original sa-mRNA–LNP functionality. Although cryomilling induced some structural alterations, the remaining functional fraction remained stable during storage. The resulting powders displayed favorable aerosol performance for deep lung delivery, as demonstrated by cascade impaction (MMAD = 4.13 ± 0.26 µm). Conclusions: In conclusion, freeze-drying effectively preserved sa-mRNA–LNP integrity at 4 °C, whereas cryomilling with leucine produced a respirable dry powder suitable for pulmonary delivery, providing a foundation for globally accessible, needle-free sa-mRNA vaccines against respiratory diseases. Full article

New ventures operating in volatile and unpredictable environments must rely on rapid adaptation and decisive action, making improvisation a critical entrepreneurial capability. This study examines how improvisation enhances new venture performance by uncovering the psychological and learning-based mechanisms through which its effects unfold. Drawing on the Knowledge-Based View (KBV) and Social Learning Theory (SLT), the model proposes that improvisation strengthens entrepreneurial self-efficacy, enabling entrepreneurs to approach uncertainty with greater confidence and adaptive judgment. Using a two-wave survey of 322 startup founders in Turkey and analyses conducted through PROCESS and complementary SEM estimation, the findings show that improvisation significantly boosts both entrepreneurial self-efficacy and new venture performance. Entrepreneurial self-efficacy emerges as a key mediating mechanism, indicating that improvisational experiences help entrepreneurs develop mastery, reinforce capability beliefs, and translate spontaneous action into improved outcomes. The results further suggest that improvisational episodes provide immediate learning cues that enhance situational awareness and decision-making agility, deepening the psychological pathway that links spontaneous behavior to venture performance. Additionally, relative explorative learning significantly moderates the relationship between improvisation and entrepreneurial self-efficacy, demonstrating that entrepreneurs benefit more from improvisation when they actively pursue new knowledge, experiment with unfamiliar approaches, and challenge routine assumptions. This moderating role clarifies when improvisation produces its strongest effects, while the mediating mechanism explains how performance improvements materialize through confidence-building processes. By integrating these mechanisms into a unified explanation, the study advances understanding of the improvisation–performance relationship and highlights the importance of learning-oriented behavior in converting spontaneous action into sustained entrepreneurial advantage. The findings offer theoretical contributions and actionable insights for entrepreneurs seeking to strengthen adaptability, resilience, and competitiveness in fast-changing environments. Full article

Education and post-licencing training programmes for novice drivers are widely implemented to improve road safety, yet their effectiveness remains debated. This study evaluates short-term attitudinal changes relating to participation in a mandatory post-licencing training programme for novice drivers in Slovenia. A within-subject pre–post survey methodology was used to evaluate self-reported driving attitudes across six safety-related domains among 225 novice drivers at a Slovenian driving training centre in 2024. Paired t-tests revealed minor yet statistically significant improvement following the programme in perceived support for the additional driver training, lowered overconfidence, heightened care in speeding and intersection behaviour, and enhanced attitudes towards vehicle operation and utilization of safety equipment. Attitudes regarding attention and adherence to traffic regulations showed negligible shifts, indicating a strong baseline attitude towards safe driving. The findings indicate a modest but fairly consistent short-term change in attitudes after programme participation. Due to the lack of a control group and dependence on self-reported data, the findings should be seen as evaluative rather than causative, necessitating more longitudinal and behavioural research to evaluate long-term and behavioural effects. Full article

Current approaches to gaming disorder prevention remain comparatively narrow, and prevention efforts are frequently underdeveloped and fragmented. Using the socio-ecological model (SEM), this qualitative study mapped frontline practitioners’ perceived obstacles and opportunities to develop a multi-level, practice-grounded framework for policy and implementation. Semi-structured interviews were conducted with 18 prevention professionals in Flanders (Dutch-speaking Belgium), recruited via purposive and snowball sampling. A hybrid inductive–deductive analysis—iterative coding guided by Layder’s adaptive theory—organized findings across SEM levels. At the public policy level, participants highlighted insufficient sustainable funding but saw potential in coordinated frameworks moving prevention beyond substance-focused agendas. At the community level, a clear knowledge gap emerged, with opportunities in integrating gaming within broader digital well-being efforts. Institutionally, the absence of practical tools and clear referral pathways was noted, in addition to high participation barriers, whereas accessible programs with targeted outreach were viewed as promising. Interpersonally, parental disengagement was common, but early involvement and pedagogical guidance were seen as key levers. At the intrapersonal level, limited self-insight and emotion regulation impeded change, while resilience, self-confidence, and offline activities were protective. This first empirical application of the SEM to gaming disorder prevention highlights the need for a multi-level, context-sensitive framework that bridges public health and digital media perspectives. Full article

In the ecosystem, birds are important indicators that can sensitively reflect changes in the ecological environment and its health. However, bird monitoring has challenges due to species diversity, variable behaviors, and distinct morphological characteristics. Therefore, we propose a parallel dual-branch hybrid CNN–Transformer architecture for feature extraction that simultaneously captures local and global image features to address the “local feature similarity” issue in dual tasks of bird species and behaviors. The dual-task framework comprises three main components: the Token Re-segmentation Module (TRM), the Multi-scale Adaptive Module (MAM), and the Feature Interleaving Structure (FIS). The designed MAM fuses hybrid attention to address the problem of different-scale birds. MAM models the interdependencies between spatial and channel dimensions of features from different scales. It enables the model to adaptively choose scale-specific feature representations, accommodating inputs of different scales. In addition, we designed an efficient feature-sharing mechanism, called FIS, between parallel CNN branches. FIS interleaving delivers and fuses CNN feature maps across parallel layers, combining them with the features of the corresponding Transformer layer to share local and global information at different depths and promote deep feature fusion across parallel networks. Finally, we designed the TRM to address the challenge of visually similar but distinct bird species and of similar poses with distinct behaviors. TRM adopts a two-step approach: first, it locates discriminative regions, and then performs fine segmentation on them. This module enables the network to allocate relatively more attention to key areas while merging non-essential information and reducing interference from irrelevant details. Experiments on the self-made dataset demonstrate that, compared with state-of-the-art classification networks, the proposed network achieves the best performance, achieving 79.70% accuracy in bird species recognition, 76.21% in behavior recognition, and the best performance in dual-task recognition. Full article

This study focuses on the site-specific improvisatory dance performance Deconstruction and Reconstruction of the Path of Life, a self-directed and self-performed work in Lhasa’ s sacred space dominated by a huge Buddha statue. It aims to explore how site-specific context and altitude sickness shape performance, and how freedom and meaning are created within limitations. Using auto-ethnography including video documentation, creative journals and reflective observation, this research examines interactions with spatial elements (Xuan paper, Buddha feet, stairs, flowers) and physiological responses to low oxygen. Main findings include that altitude-induced breath difficulty, chest oppression, and movement imbalance became generative forces: breathing rhythm changes (steady-rapid-steady) symbolized life’s struggles, while a “pain-movement-meaning” chain fostered new bodily senses, framing pain as a gateway to spirituality. Rather than treating the space as a static backdrop, this study explores how the material and cultural characteristics of the location actively lead to dance movement choices and choreographic logic under extreme physiological condition. Full article

Additive manufacturing (AM) of polymers and polymer composites is changing how customized, lightweight, and complex parts are produced across various industries. However, predicting the final properties of printed parts remains challenging due to variations in material compositions, processing conditions, and microstructural characteristics. This review explores how machine learning (ML) is being used to address these challenges. It examines the application of various ML approaches in polymer and polymer composite design for AM, including supervised, unsupervised, semi-supervised, self-supervised, and reinforcement learning, for predicting key properties such as mechanical strength, thermal stability, and electrical performance. The review also highlights hybrid techniques that combine ML with physics-informed modeling, including the use of digital twins, to enhance AM process control. Challenges and future perspectives, such as data scarcity, model interpretability, and computational demands, are discussed. In summary, ML is showing strong potential to support faster, more reliable, and more sustainable development of advanced polymers and polymer composites for AM. Full article

Background/Objectives: Emotional dysregulation (ED) is emerging as a major contributor to functional impairment in Autism Spectrum Disorder (ASD). Although effective behavioral interventions exist, pharmacological treatments remain constrained by side effects and variable tolerability. Given their neurobiological roles that include neurotransmission, inflammation, and neuroplasticity, vitamin D and omega-3 polyunsaturated fatty acids (PUFAs) have been identified as promising candidates for modulating emotional and behavioral dysregulation. This systematic review aimed to evaluate the efficacy of combined vitamin D and omega-3 supplementation in improving emotional and behavioral regulation in individuals with ASD. Methods: This review was conducted in accordance with PRISMA guidelines. Included studies were English peer-reviewed studies involving participants with ASD that assessed combined vitamin D and omega-3 suppleupplementation with outcomes related to emotional or behavioral dysregulation. The search was restricted to 2015–2025 to ensure inclusion of recent, methodologically consistent studies and to minimize heterogeneity in diagnostic criteria and supplementation protocols. Results: Of 649 records initially screened, 3 studies met inclusion criteria: one randomized controlled trial, one observational study, and one case report, involving participants ranging from early childhood to young adulthood. Across studies, combined supplementation was associated with improvements in irritability, hyperactivity, agitation, and self-injurious behaviors. These clinical effects were accompanied by specific biochemical changes, including reductions in the AA/EPA ratio, increases in serum 25(OH)D and omega-3 indices, and decreased urinary levels of HVA and VMA. Conclusions: This review indicates that co-supplementation with vitamin D and omega-3 fatty acids may exert preliminary beneficial effects on emotional and behavioral dysregulation in individuals with ASD, potentially through anti-inflammatory and neuroregulatory mechanisms. However, the available evidence remains limited due to a small number of studies, their modest sample size, and methodological heterogeneity. Further, biomarker-driven randomized studies are needed to confirm efficacy and delineate optimal dosing strategies for application in clinics. Full article

Background/Objectives: Low back pain (LBP) is increasingly prevalent among children and adolescents and represents a growing public health concern due to its potential persistence into adulthood. Screen-based sedentary behavior has substantially increased in pediatric populations. However, evidence regarding its association with LBP remains inconsistent, and the existence of a dose–response relationship is not well established. Methods: A systematic review and meta-analysis of observational studies was conducted in accordance with PRISMA guidelines. Studies examining the association between screen-based sedentary behavior and LBP in children and adolescents aged 6–18 years were included. Random-effects meta-analyses were used to pool continuous exposure estimates, and a multivariate random-effects dose–response meta-analysis was performed to assess changes in LBP risk across increasing levels of daily screen time. Results: A total of 30 studies were included. The pairwise meta-analysis of continuous exposure showed no statistically significant association between screen time and LBP, with OR = 1.02 (95% CI 0.65 to 1.59). In contrast, the dose–response meta-analysis demonstrated a significant positive association, with a 26% (95% CI 8% to 48%) increase in the odds of LBP for each additional hour of daily screen time. High between-study heterogeneity was observed, and most studies relied on self-reported measures of screen exposure and LBP, which may have introduced recall and misclassification bias and warrants cautious interpretation of the findings. Conclusions: Higher levels of screen-based sedentary behavior were associated with an increased risk of LBP in children and adolescents when examined using a dose–response approach, whereas pairwise meta-analyses did not identify a significant association. Nevertheless, substantial between-study heterogeneity and high risk of bias limit causal inference and require cautious interpretation. Full article

Background: Aging is a complex process that involves various biological, psychological and social changes. Moreover, older people (≥65 years) are more susceptible to lower self-efficacy and social support, as well as deteriorating mental health. As the global population ages, there is a growing demand for evidence-based interventions tailored to address specific mental health problems, enhance social support and improve overall well-being. The aim of this study was to investigate the effectiveness of a seven-week mindfulness-based community intervention on mental health, self-efficacy and social support in older people. Methods: This quasi-experimental nonrandomized study included 257 participants who were divided into an intervention group and a comparison group that did not participate in the seven-week mindfulness-based community intervention and was not part of a waiting list. Assessments were conducted before the intervention began and 6 months after its completion. Results: The results revealed a significant reduction in depression in the intervention group (p < 0.001). Furthermore, the intervention led to a significant improvement in general self-efficacy, chronic disease self-management self-efficacy, physical activity and nutritional self-efficacy compared with the comparison group. Perceived social support increased within the intervention group; however, covariate adjusted between-group effects for social support were not statistically significant. Conclusions: Overall, the mindfulness-based community intervention was associated with improvements in current depressive symptoms and multiple self-efficacy domains at 6-month follow-up in older people in a community setting. Effects on perceived social support were less robust, and no statistically significant between-group differences were observed after adjustment for baseline covariates. The results of the present study show that this program leads to immediate health benefits in terms of mental health and self-efficacy in older people while contributing to the development of effective strategies for chronic disease self-management. Full article