Search Results (2,163)

Energy transition, including the transition away from fossil fuels, is a difficult and complex process, particularly in emerging and developing economies. One of the key factors determining its effectiveness is the acceptance of its course and consequences by local communities. Taking into account these circumstances, as well as the ongoing period of profound energy sector transformation in Poland, the main objective of this article is to diagnose the perception of energy transition and assess the preparedness of local authorities for its consequences from the perspective of a representative sample of 1863 residents from 19 cities with county rights located in the Upper Silesian Coal Basin. The research was conducted in the second quarter of 2025. In analyzing the survey results, descriptive statistics, identification of interdependencies, and non-parametric statistical tests (Mann–Whitney U, Kruskal–Wallis, and Wilcoxon) were employed. The obtained results indicate relative acceptance of decarbonization; however, there is significantly lower support for closing hard-coal mines. Respondents rate the preparedness of local authorities for the consequences of hard-coal mining liquidation in the region as low. Moreover, they believe that the local labor market is better prepared for restructuring changes than the local governments of Silesian cities. The respondents’ answers differ primarily according to gender and education, although the identified relationships are neither obvious nor linear. Furthermore, the age of respondents only influences the perception of the necessity of closing hard-coal mines and the assessment of city authorities’ preparedness for the consequences of this process. The results of the conducted research contribute to the analysis of socio-economic processes accompanying energy transition and may be useful in conducting social consultations and communication and information activities, as well as in developing regional restructuring strategies. Full article

Objective: Inferior alveolar (IAN) and lingual nerve (LN) injuries are known complications of impacted mandibular third molar surgery and may result in persistent neurosensory deficits. This exploratory, non-randomized clinical study evaluated the clinical and electrophysiological effects of low-level laser therapy (LLLT) and transcutaneous electrical nerve stimulation (TENS) on neurosensory recovery following trigeminal nerve injury. Methods: Twenty-seven patients with postoperative IAN or LN injury received LLLT, TENS, or placebo therapy according to institutional clinical protocols. Clinical outcomes were assessed using Visual Analog Scale (VAS) scores, and electrophysiological evaluation was performed using electromyography by measuring cutaneous silent period (CSP) duration. Non-parametric statistical analyses were conducted using the Wilcoxon signed-rank and Mann–Whitney U tests. Results: LLLT was associated with statistically significant improvements in several neurosensory symptoms, including pain, burning sensation, speech difficulty, biting, and taste disturbance. In contrast, TENS and placebo treatment did not demonstrate a consistent or generalized improvement across neurosensory outcomes. CSP durations differed significantly between healthy and pathological sides both before and after treatment. Although CSP duration showed a tendency to increase following LLLT, these changes did not reach statistical significance. Subgroup analysis revealed greater clinical improvement in LN injuries compared with IAN injuries within the LLLT group. Conclusions: Within the limitations of this exploratory study, LLLT was associated with more pronounced clinical improvement than TENS or placebo in patients with third molar-related trigeminal nerve injury. CSP measurements provided supportive objective information, although electrophysiological recovery remained limited. Full article

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection results in dysregulated inflammatory and coagulation pathways that drive immunothrombosis and contribute to adverse clinical outcomes. While individual cytokines and endothelial biomarkers have been associated with disease severity and mortality, the prognostic relevance of combined inflammatory and endothelial signatures remains incompletely characterised. To identify inflammatory cytokines and markers of endothelial activation associated with mortality in patients with severe COVID-19 requiring supplemental oxygen. This retrospective observational study included 73 consecutive adults admitted to a dedicated supplemental oxygen unit with severe COVID-19. Plasma concentrations of IL-1α, IL-1β, IL-6, IL-8, IL-10, TNF-α, von Willebrand factor (VWF) antigen and propeptide, ADAMTS13 antigen and activity, and ADAMTS13 autoantibodies were measured on admission using ELISA-based assays. Associations with mortality were assessed using non-parametric analyses, age-adjusted logistic regression, multivariable logistic regression, and receiver operating characteristic (ROC) curve analysis. Increasing age was independently associated with mortality. After adjustment for age, higher IL-1α concentrations were associated with increased odds of death, whereas a higher IL-6/IL-10 ratio was independently protective. In multivariable models, including non-ratio variables, ADAMTS13 autoantibody levels remained independently associated with mortality. In ratio-based multivariable analysis, both the ADAMTS13 activity/autoantibody ratio and the IL-6/IL-10 ratio were independently protective, while age was no longer significant. IL-10 and ADAMTS13 autoantibodies demonstrated moderate discriminative performance for mortality prediction (AUC ~0.70). A combined biomarker model incorporating IL-1α, IL-8, IL-10, and ADAMTS13 autoantibodies yielded very high predicted mortality probabilities. Our findings highlight IL-1α and ADAMTS13 autoantibodies as independent predictors of mortality in severe COVID-19, reflecting the interplay between inflammatory and endothelial pathways. Biomarker ratios capturing immune and endothelial balance—particularly the ADAMTS13 activity/autoantibody ratio—may enhance risk stratification and support integrated prognostic models. Full article

Long underground expressways have emerged as an alternative to surface highways in densely urbanized areas; however, their enclosed geometry, extended length, and steep longitudinal gradients introduce traffic-flow dynamics distinct from those of surface roads. This study investigates the combined and interaction effects of traffic volume, heavy-vehicle ratio, longitudinal gradient, lane number, and lane-changing policy on traffic performance in long underground expressways using microscopic traffic simulation. A hypothetical 20 km underground expressway network was evaluated under 72 systematically designed scenarios. Weighted average speed and throughput were analyzed using nonparametric statistics, generalized linear models with interaction terms, and machine learning-based sensitivity analysis. While traffic volume and heavy-vehicle ratio were confirmed as dominant determinants of performance, a key contribution of this study is the identification of the density-dependent role of lane-changing policies. Under moderate traffic density, permissive lane-changing improves efficiency by enabling vehicles to bypass localized disturbances caused by heavy vehicles and longitudinal gradients, thereby enhancing capacity utilization. In contrast, under high-density conditions, permissive lane-changing amplifies lane-change conflicts and shockwave propagation within the confined underground environment, accelerating traffic instability and performance breakdown. These adverse effects are further intensified by steep uphill gradients. The findings demonstrate that lane-changing policies on long underground expressways should be designed in a context-sensitive manner, balancing efficiency and stability across traffic states. Full article

The Iberá Wetlands in northeastern Argentina constitute the second largest wetland system in South America, yet the fern and lycophyte flora of this region remains poorly documented. The aims of this work were to update the species richness of these plant groups, evaluate the intensity of collecting efforts, identify conservation priorities, estimate the potential true species richness, and make biogeographical inferences. We compiled a database of species from multiple sources, and the study area (21,853 km²) was divided into 19 grid cells for analysis. Sampling effort and species richness were quantified, and non-parametric estimators (Chao2, ICE, Jack2) were used to evaluate inventory completeness. Several similarity analyses were performed using the Jaccard index, incorporating reference areas from the Chaco and Paranaense phytogeographic provinces. The Ituzaingó–La Paz geological fracture and the geological formations present in the area were also considered. We recorded 76 taxa, whereas estimators suggested a potential richness of 130–140 species. The center of the Iberá Wetlands showed the lowest sampling effort, while the eastern sector exhibited the highest species richness. The distribution of species appears to be correlated with geological formations. These findings emphasize the importance of continuing sampling in the area. Full article

Background/Objectives: We aimed to establish and validate population-based reference intervals (RIs) for serum ferritin (SF) using an indirect, date-driven approach based on real-world laboratory data and to optimize partitioning strategies. Methods: SF results from 29,723 apparently healthy individuals who underwent health examinations at West China Hospital between 2020 and 2024 were retrospectively analyzed. SF was measured on a Roche Cobas e801 electrochemiluminescence immunoassay platform. After Box–Cox transformation, outliers were removed using an iterative Tukey method. Potential partitioning factors were evaluated, and data-driven age cut-points were explored using decision tree regression and verified with the Harris–Boyd criteria. RIs were estimated using nonparametric percentile methods and validated in an independent cohort of 2494 individuals. Results: SF concentrations were significantly higher in males than in females (p < 0.001). In females, SF showed a significant positive association with age (r = 0.466, p < 0.001), whereas no such association was observed in males. Decision tree analysis identified 50 years as the optimal age cut-off for females (R² = 0.2467). The final study-derived RIs were 98.02–997.78 µg/L for males, 10.30–299.55 µg/L for females ≤ 50 years, and 36.61–507.00 µg/L for females > 50 years. In the validation cohort, the study-derived RIs achieved pass rates of 93.83–94.72%, which were significantly higher than the manufacturer-provided RIs (37.12–73.97%, all p < 0.001). Conclusions: Using a large health examination database and a multi-step partitioning strategy, we established robust sex- and age-specific SF RIs on the Roche Cobas e801 platform for the local population. This work provides a reproducible, generalizable framework for indirect RI determination of other biomarkers. Full article

This review synthesizes the state of the art in flapping foil technology and bridges the distinct engineering domains of bio-inspired propulsion and power generation via flow energy harvesting. This review is motivated by the observation that propulsion and power-generation studies are frequently presented separately, even though they share common unsteady vortex dynamics. Accordingly, we adopt a unified unsteady-aerodynamic perspective to relate propulsion and energy-extraction regimes within a common framework and to clarify their operational duality. Within this unified framework, the feathering parameter provides a theoretical delimiter between momentum transfer and kinetic energy extraction. A critical analysis of experimental foundations demonstrates that while passive structural flexibility enhances propulsive thrust via favorable wake interactions, synchronization mismatches between deformation and peak hydrodynamic loading constrain its benefits in power generation. This review extends the analysis to complex and non-homogeneous environments and identifies that density stratification fundamentally alters the hydrodynamic performance. Specifically, resonant interactions with the natural Brunt–Väisälä frequency of the fluid shift the optimal kinematic regimes. The present study also surveys computational methodologies and highlights a paradigm shift from traditional parametric sweeps to high-fidelity three-dimensional (3D) Large-Eddy Simulations (LESs) and Deep Reinforcement Learning (DRL) to resolve finite-span vortex interconnectivities. Finally, this review outlines the critical pathways for future research. To bridge the gap between computational idealization and physical reality, the findings suggest that future systems prioritize tunable stiffness mechanisms, multi-phase environmental modeling, and artificial intelligence (AI)-driven digital twin frameworks for real-time adaptation. Full article

This study examines the economic, social, and spatial dynamics of the Meetings, Incentives, Conferences, and Exhibitions (MICE) sector in the Regional Unit of Thessaloniki, Greece, over the period 2011–2022. It explores how MICE activity is distributed across the Thessaloniki metropolitan region and whether municipal districts differ significantly in economic performance, employment, and specialization. Using data from the Hellenic Statistical Authority’s Business Register, the analysis considers enterprise turnover, employment, productivity, and spatial specialization, measured through Location Quotients (Ls). Nonparametric statistical tests (Spearman’s rho, Kruskal–Wallis, and Mann–Whitney U) are used to examine relationships among indicators and to identify spatial disparities between districts. The results point to a strongly polarized pattern: turnover and employment are concentrated in the Thessaloniki District, whereas peripheral districts show limited involvement in MICE-related activity. These findings suggest that the sector supports metropolitan growth but can also reinforce spatial and social inequalities. The study highlights the need for balanced regional planning and inclusive strategies that strengthen the resilience and long-term sustainability of urban MICE economies. Full article

Background: Static coronal alignment is considered a key of lower limb biomechanics after total knee replacement (TKR); however, its relationship with dynamic foot loading patterns and gait characteristics remains unclear. The primary objective of this prospective study was to investigate whether there is a correlation between dynamic plantar pressures and spatiotemporal parameters of gait and the coronal alignment of the lower limb after unilateral TKR for primary knee osteoarthritis (KOA). Methods: Thirty-two consecutive patients scheduled for TKR were evaluated preoperatively and at six months postoperatively. Changes in plantar pressure distribution and spatiotemporal gait parameters were collected using a multiplatform plantar pressure analysis system (PPAS), while coronal alignment was assessed using the femorotibial angle (FTA). Relationships with preoperative, postoperative, and correction-related alignment measures were examined using non-parametric statistical methods. Results: Dynamic plantar pressures and spatiotemporal gait parameters were not found to be consistently associated with pre- or postoperative values of FTA, respectively. Furthermore, the degree of correction did not appear to influence baropodometric outcomes. Conclusions: Static coronal alignment, as defined by the FTA, was not found to be consistently associated with dynamic plantar pressure patterns or spatiotemporal gait parameters at six months following unilateral TKR in our study population. These findings highlight the potential limitations of using solely static radiographic markers to evaluate complex functional outcomes such as gait. Full article

This paper presents a repetitive learning control scheme to handle systems subject to both time-delay and dead-zone nonlinearities and the state-dependent input gain simultaneously. The adaptive bounding techniques are utilized to deal with the nonparametric uncertainties originated from the time-delay and the state-dependent input gain, in which the indirect learning manner is employed to avoid the appearance of the sign function, alleviating the requirement for the system information. The only prior knowledge of the proposed scheme is the lower bound of the input gain and the dead-zone slope. The desired control signal is recognized as the parametric uncertainties with a constant regressor. The derivation of the convergence analysis is provided in detail, and the boundedness of variables in the closed-loop system is guaranteed. The numerical simulation is conducted to testify the effectiveness of the presented control approach. Full article

Product placement has become an integral part of contemporary marketing communication, aiming to influence consumer attitudes and purchasing behaviour through subtle brand exposure in audiovisual media. Despite its growing prevalence, the effectiveness of product placement in shaping purchase intentions remains influenced by various demographic and behavioural factors. This study examines how demographic and economic factors jointly shape consumer responses to product placement and identifies the key determinants of consumers’ likelihood of purchasing products featured in audiovisual media. Data for the study were collected through a questionnaire survey and analysed using a combination of non-parametric subgroup tests, contingency-based association analysis, and machine-learning classification methods to assess both marginal group differences and multivariate interaction patterns. In addition to inferential testing, predictive models were developed using CART and alternative modelling techniques to verify the robustness of the identified predictors across analytical frameworks. The results reveal statistically significant generational and economic heterogeneity in awareness of product placement and purchase probability, highlighting the dominant role of age in shaping purchasing behaviour. The findings contribute to a deeper understanding of behavioural segmentation in audiovisual marketing and provide insights for optimising marketing communication strategies within audiovisual content. Full article

This study systematically verified the applicability and accuracy of the Probability Density Evolution Method (PDEM) in the probabilistic modeling of the dynamic response of anchored rock slopes under random seismic action through large-scale shaking table model tests. Across 144 sets of non-stationary random ground motions and 7 sets of white noise excitations, key response data such as acceleration, displacement, and changes in anchor axial force were collected. The PDEM was used to model the instantaneous probability density function (PDF) and cumulative distribution function (CDF), which were then compared with the results of normal distribution, Gumbel distribution, and direct sample statistics from multiple dimensions. The results show that the PDEM does not require a preset distribution form and can accurately reproduce the non-Gaussian, multi-modal, and time evolution characteristics of the response; in the reliability assessment of peak responses, its prediction deviation is much smaller than that of traditional parametric models; the three-dimensional probability density evolution cloud map further reveals the law governing the entire process of the response PDF from “narrow and high” in the early stage of the earthquake, “wide and flat” in the main shock stage, to “re-convergence” after the earthquake. The study confirms that the PDEM has significant advantages and engineering application value in the analysis of random seismic responses and the dynamic reliability assessment of anchored slopes. Full article

High-purity germanium (HPGe) gamma-ray detectors are core instruments in nuclear physics and astrophysics experiments, where long-term stability and reliable extraction of decay parameters are essential. However, the standard exponential decay analyses of the detector time-series data are often affected by the strong correlations between the fitted parameters and the sensitivity to detector-related fluctuations and outliers. In this study, we present a robust analysis framework for HPGe detector decay data based on pairwise ratios and the Steiner’s most frequent value (MFV) statistic. By forming point-to-point ratios of background-subtracted net counts, the dependence on the absolute detector response is eliminated, removing the amplitude–lifetime correlation that is inherent to conventional regression. The resulting pairwise lifetime estimates exhibit heavy-tailed behavior, which is efficiently summarized using the MFV, a robust estimator designed for such distributions. For the case study, a long and stable dataset from an HPGe detector was used. This data was gathered during a low-temperature nuclear physics experiment focused on observing the 216 keV gamma-ray line in ⁹⁷Ru. Using measurements spanning approximately 10 half-lives, we obtain a mean lifetime of $\tau =4.0959\pm 0.{0007}_{\mathrm{stat}}\pm 0.{0110}_{\mathrm{syst}}\mathrm{d}$, corresponding to a half-life of $T_{1/2}=2.8391\pm 0.{0005}_{\mathrm{stat}}\pm 0.{0076}_{\mathrm{syst}}\mathrm{d}$. These results demonstrate that the pairwise–MFV approach provides a robust and reproducible tool for analyzing long-duration HPGe detector data in nuclear physics and nuclear astrophysics experiments, particularly for precision decay measurements, detector-stability studies, and low-background monitoring. Full article

Background/Objectives: Veterinarians are among the most stressed of all professional groups. Their work is characterised by long working hours, high emotional demands and an increased risk of anxiety, depression, suicide and burnout. The aim of this cross-sectional study that examines retrospective records of experienced violence was to analyse the frequency of violent acts and their connection to certain factors (age, gender, place of work, and specialist area according to animal species). Methods: This nationwide, cross-sectional, online survey of veterinarians in Germany was conducted between July 2021 and February 2023. A total of 1053 veterinarians were included in the analysis, which was conducted according to the respondents’ age, (<35 years, 35–45 years and >45 years), gender, workplace and veterinary specialisation. Sociodemographic and work-related data were collected, as were responses to questions regarding experiences of violence, which were differentiated between verbal abuse and physical violence. The data were analysed using descriptive statistics and non-parametric group comparisons (Kruskal–Wallis test with Bonferroni correction, Mann–Whitney U test and Pearson’s chi-squared test). Results: Overall, 52.7% of veterinarians reported experiencing verbal abuse or physical violence at the hands of animal owners. Verbal abuse occurred, on average, more than three times per month, whereas physical violence was rare. Physical violence occurred significantly more frequently among middle-aged veterinarians (p < 0.001). The highest prevalence of verbal abuse or violence (72.5%, p < 0.001) was reported by veterinarians working in public authorities, while the lowest was reported by those working in laboratories. Conclusions: Workplace violence against veterinarians is a frequent occupational burden in Germany and highlights the urgent need for targeted prevention, de-escalation training and organisational support across veterinary settings. Full article

Background: Hepatitis B vaccination is the most effective strategy for preventing chronic hepatitis B virus (HBV) infection; however, interindividual variability in vaccine-induced antibody responses remains a significant challenge in the field. Innate immune components, particularly lectin complement pathway proteins such as mannose-binding lectin (MBL), mannose-associated serine protease 1 (MASP-1), and mannose-associated serine protease 2 (MASP-2), may contribute to this variability in outcomes. This study aimed to evaluate the association between serum MBL, MASP-1, and MASP-2 levels, birth weight, and humoral response to hepatitis B vaccination in infants. Methods: This single-center prospective observational study included 37 term infants who received hepatitis B vaccinations at birth, 1 month, and 6 months of age according to the national immunization schedule. Venous blood samples were collected at month 6, before, and month 7 after the 3rd vaccine dose. Serum MBL, MASP-1, MASP-2, and antiHB levels were measured using commercial ELISA and chemiluminescence assays. Data were analyzed using non-parametric statistical tests and Spearman’s correlation analysis. Results: AntiHB levels increased significantly following vaccination (median Pre-3rdVac: 125.8 mIU/mL; Post-3rdVac: 609.7 mIU/mL; p < 0.001). MASP-1 concentrations also showed a significant Post-3rdVac increase (median Pre-3rdVac: 809.52 ng/mL; Post-3rdVac: 1133.93 ng/mL; p = 0.019). Birth weight was positively correlated with both MASP-1 levels (r_s = 0.492, p = 0.004) and changes in MASP-1 concentrations (r_s = 0.524, p = 0.002) after the third dose. In addition, MASP-1 levels were positively associated with antiHB levels (r_s = 0.385, p = 0.030) and Post-3rdVac antiHB titers (r_s = 0.493, p = 0.004). In contrast, serum MBL and MASP-2 concentrations were not significantly associated with antiHB levels before or after vaccination. Conclusions: MASP-1, but not MBL or MASP-2, is associated with the magnitude of the antibody response to hepatitis B vaccination in infants. These findings suggest that specific components of the lectin pathway may influence vaccine-induced immunity, independent of MBL. Further large-scale studies incorporating genetic and functional analyses are warranted to clarify the mechanisms by which lectin pathway proteins shape hepatitis B vaccine response. Full article