Search Results (104)

Background/Objectives: Trauma triggers complex early immune responses. However, the relationship among trauma severity, changes in immune cell survival, and circulating inflammatory mediators remains unclear. This study compared early cell viability and death patterns in CD66b⁺ granulocytes, total T lymphocytes, and CD4⁺ and CD8⁺ T-cell subsets as well as inflammatory mediator levels between patients with non-severe and severe trauma. Methods: This single-center prospective observational study included 67 adult patients with trauma who were classified into non-severe and severe trauma groups according to the Injury Severity Score (ISS < 15 vs. ISS ≥ 15). Blood samples were obtained within 1 h of arrival at the emergency department. Flow cytometry was used to assess the viability, early apoptosis, late apoptosis, and necrosis in the leukocyte subsets. Serum concentrations of intercellular adhesion molecule-1 (ICAM-1), macrophage migration inhibitory factor (MIF), CD40 ligand (CD40L), and interleukin-1 receptor antagonist (IL-1ra) were measured using enzyme-linked immunosorbent assays. Results: The severe trauma group had a significantly lower proportion of early apoptotic CD66b⁺ granulocytes than the non-severe trauma group (2.9% [1.4–6.7] vs. 6.3% [3.7–10.9], p = 0.001), whereas the live, late apoptotic, and necrotic CD66b⁺ granulocyte fractions did not differ significantly between the two groups. Most T-cell death parameters were similar between the groups, although an exploratory increase in necrotic CD4⁺ T lymphocyte abundance was observed in the severe trauma group. IL-1ra levels were significantly higher in the severe trauma group than in the non-severe trauma group and were associated with ISS in both mediator-only and adjusted sensitivity regression analyses. Conclusions: Severe trauma was associated with reduced early apoptosis in the CD66b⁺ granulocyte compartment and elevated IL-1ra levels shortly after injury compared with non-severe trauma. These findings suggest that early immune alterations after severe trauma may involve compartment-specific granulocyte death patterns and counter-regulatory inflammatory responses rather than generalized changes across leukocyte populations. Full article

Cosmic-Ray Neutron Sensing (CRNS) has become a standard method for non-invasive soil moisture monitoring at the field scale. With most CRNS sensors being derivatives from scientific nuclear equipment, the development of instruments based on alternative neutron detection technologies is a major development goal for CRNS. We present a modular instrument family based on boron-10-lined proportional counters, specifically designed for long-term autonomous field operation. The system is controlled by a data logger supporting various telemetry options and external SDI-12 environmental sensors, while the frontend electronics use pulse-height and pulse-length information to suppress non-neutron background and electronic noise. Our results show high energy efficiency, with the latest generation close to 50 mW, allowing solar-powered operation even in challenging environments. The performance of the instruments is validated within long-term field deployments in different settings, showing that boron-10-based systems provide a scalable, low-power and cost-efficient alternative for the next generation of CRNS monitoring networks. Full article

Disinformation is a global challenge that affects areas such as politics, health, economics, and science and is spread rapidly by social media (SM), suggesting the necessity of advancing educational proposals to strengthen critical thinking (CT) and digital literacy (DL). This quantitative, non-experimental, descriptive study identified the self-perception that master’s students (n = 72; at three Spanish universities; October 2024–March 2025) have regarding their DL, along with their CT, in post-truth and fake news settings. A self-administered online questionnaire (53 items) was conducted, covering aspects such as the responsible use of information and platforms, algorithmic perceptions, actions taken to verify this information, and concepts of CT, post-truth, and fake news. The results show that Instagram (97%) and WhatsApp (96%) predominated, with a notable proportion of users (86%) reporting that algorithms influenced them ‘highly’ or ‘moderately’. Despite being aware of disinformation they find on social media (65%) as well as its close link to hate speech (90% who ‘strongly’ or ‘somewhat’ agreed), this knowledge does not fully translate into taking measures to counter it. In fact 61% of respondents report sharing news on at least some occasions, while only 25% are able to identify a professional fact-checking organization. In conclusion, these findings suggest the merit of assessing the prevalence of skills such as Critical Thinking (CT) and strategies like fact-checking among students in other postgraduate education systems. Such assessments could inform the potential promotion of media and digital literacy as cross-curricular skills in education. This approach would help bridge the gap between theoretical knowledge and the active verification needed to counter disinformation. Full article

We have used long observations of galaxy clusters obtained with the Rossi X-ray Timing Explorer to search for the 3.55 keV line from sterile neutrino decay. If a lepton-number asymmetry exists in one or more types of active neutrinos in the early Universe, sterile neutrinos can be produced via the Shi–Fuller mechanism. The data consist of 11 clusters observed for a total of 3.1 megaseconds using the Proportional Counter Array. A 2.5$\sigma$ excess of emission over a thermal model is found over the energy span of the 3.55 keV line in the combined spectra of the eight clusters that individually have an excess. These residuals are added to increase the signal to noise ratio of the excess, which is then modeled with a Gaussian to simulate the instrumental spectral response. We find a significant correlation (r = 0.76) for a line centered at 3.6 keV with a model flux of 3.07 × 10⁻⁵ ph cm⁻² s⁻¹. Mixing angle for detected clusters ranges from 2.0 to 21.6 × 10⁻¹⁰. The decay rate inferred from the line flux is strongly correlated (r = 0.87) with cluster temperature, which is due to hotter, more massive clusters having a larger amount of dark matter. Approximately half of the total flux comes from the Coma cluster. The mixing angle for Coma is calculated to be 6.2 × 10⁻¹⁰. We fit the Coma cluster spectrum with two different three-component models. The first includes a Gaussian fixed at 3.55 keV to model soft emission. The flux of the Gaussian is 5.6 × 10⁻¹² ph cm⁻² s⁻¹ or 1.3% of the total flux. The second three-component model uses a second thermal component to model soft emission. This model gives a temperature of 0–17 keV for the second thermal component and a lower temperature for the hot component. This indicates that the second thermal component is modeling high-energy residuals rather than low ones, where the Gaussian is. Though our line fluxes exceed most reported detections and upper limits, they do not overproduce the dark matter. We conclude that some fraction of the marginally detected excess could be attributed to the decay line since low-temperature thermal emission and systematics fail to model it completely. Full article

The development of antimicrobial resistance (AMR) and the emergence of multiresistant pathogens represent a growing global threat to both human and animal health. Beyond the excessive and improper use of antimicrobials in human medicine, irrational use in veterinary medicine, agriculture, and aquaculture significantly contributes to the selection and spread of resistant microorganisms, which can enter the food chain and reach humans through food consumption or handling. Based on results from a recent meta-analysis, the prevalence of antimicrobial-resistant foodborne pathogens in food samples exceeds 10%. The veterinary sector is of particular concern, as a large proportion of antimicrobials are used in animal production, generating strong selective pressure and favoring the dissemination of AMR along the food chain. In an increasingly interconnected global context, resistant pathogens and resistance determinants can disseminate rapidly across sectors and national borders, making strategies confined to a single sector insufficient; therefore, effectively addressing AMR requires a One Health approach encompassing the human, veterinary, and environmental domains. Key mitigation strategies include strengthening antimicrobial stewardship programs, also in animal production, reducing routine prophylactic use of antimicrobials, and improving surveillance, coordinated across sectors and, where possible, further supported by advanced technologies such as artificial intelligence and machine learning. Further efforts are also needed to improve microbiological diagnostics, particularly through rapid and molecular methods, to support timely, targeted therapies and reduce inappropriate empirical treatments. In parallel, investment in new therapeutic options, including innovative molecules, drug combinations, and alternative approaches, remains crucial to effectively countering the growing burden of antimicrobial resistance. Full article

This study aims to describe oral contraceptive knowledge among adolescents and young women, and to examine individuals’ characteristics associated with oral contraceptive knowledge. A cross-sectional survey was administered using an online panel. Females aged 16 to 24 were recruited. Oral contraceptive knowledge was measured using nine items with six domains, including oral contraceptive use, efficacy, indication, mechanism of action, risks, and side effects. A summated score was created, with a score of 9 indicating highest level of knowledge. Multivariable regression was used to examine significant socio-demographics and clinical characteristics. Among the 700 included responses, largest proportion of respondents were White (45.43%) and were covered by public insurance (43.14%). A total of 446 (63.71%) respondents expressed at least slight interest in using over-the-counter oral contraceptives. Overall, the mean score of knowledge was 4.08 out of 9. Most did not correctly answer questions about side effects, the mechanism of action and appropriate use. Similar patterns were observed among those who were interested in over-the-counter oral contraceptives (mean = 4.11). Adolescents and young women had a low level of oral contraceptive knowledge. With a high proportion of individuals interested in over-the-counter oral contraceptives, additional information support is needed to support informed contraception choice and use. Full article

The Balaton region is Hungary’s most important recreational area, known for Central Europe’s largest freshwater lake and its traditional vineyard and horticultural landscapes. Since 1990, vineyard and orchard abandonment and intensified shoreline urbanization have increasingly threatened both landscape character and ecological balance. This study analyses land-use changes in the Balaton hinterland and evaluates the effectiveness of regional land-use regulation between 1990 and 2018, with a focus on the 2000 Balaton Law (BKÜRT), which sought to preserve traditional land uses by permitting construction only where at least 80% of vineyard parcels remained cultivated. Spatial–temporal analysis was based on CORINE Land Cover (CLC) data from 1990 to 2018, supplemented by change layers from the Copernicus Land Monitoring Service. The CORINE Land Cover classification is a three-level hierarchical system (5 Level-1 groups, 15 Level-2 classes, and 44 Level-3 classes) developed by the EEA to provide standardized, satellite-based land cover information across Europe. Land cover was aggregated into major categories (using Level-1 and Level-2 classes) relevant to the Hungarian landscape. To address CLC limitations related to representing vineyards as relatively homogeneous units despite substantial differences in the density and scale of built structures, detailed case studies were conducted in three C1 vineyard zones—Alsóörs, Paloznak, and Szentantalfa—using historical aerial photographs, Google Earth imagery, and the Hungarian Ecosystem Map (NÖSZTÉP). Despite the restrictive regulatory framework, the CLC database showed that the share of vineyards in the vineyard regulation zone (C-1, C-2) decreased between 1990 and 2018 from 45.4% to 35.8% (the share of gardens and fruit plantations had changed from 9.7% to 15.5%). In the whole Balaton region, there was an approximately 18% decline in vineyard areas. Considering the M-2 horticultural zone, the garden coverage increased from 18.9% in 1990 (17.7% in 2000) to 30.5% (share of vineyards changed from 54.3% (54.6% in 2000) to 38.8%). At the regional level, gardens and fruit plantations had a smaller decrease (3.2%). Although overall trends were more favorable than at the national level, regulatory measures proved insufficient to prevent the conversion of vineyards and orchards in sensitive areas, particularly on slopes overlooking the lake, in proximity to tourist hubs, and in areas exposed to strong development pressure. By 2018, the C1 zone had expanded spatially but became less targeted, as the proportion of vineyards within it decreased. Boundary refinements failed to substantially improve regulatory precision or effectiveness. The case studies reveal a gradient of regulatory strictness reflecting differing landscape protection priorities and stages of vineyard transformation, with Alsóörs responding to long-standing, partly irreversible changes while attempting to slow further landscape alteration. To counter ongoing negative trends, more targeted and enforceable regulations are required, including a clearer separation of cultivated and recreational land uses, a maximum building size of 80 m² for recreational properties, and a reassessment of vineyard zone boundaries to better reflect active cultivation and protect sensitive landscapes. Full article

State highway agencies usually measure Annual Average Daily Traffic (AADT) using traffic data from permanent detector stations within their system-wide traffic monitoring programs. Agencies also estimate the AADT at many other locations using short-term counts. Traffic counters at the permanent stations frequently malfunction, leading to periods of inaccurate or missing data. Addressing missing data in estimating AADT by highway agencies is important for sustainable infrastructure management. This study used extensive traffic data from permanent detector stations in the state of Montana to examine the effect of missing data on the accuracy of AADT estimation. On a rotational basis, one station was used to test the accuracy of AADT estimation, while the remaining stations (training stations) were used to develop the traffic adjustment factors. Data truncation at the training stations was conducted using two sampling techniques and three scenarios of data availability. The study results showed that the increase in AADT estimation error (inaccuracy) was not linearly proportional to the increase in the amount of missing data. Given the extreme scenarios of missing data examined in this study and the relatively lower effect on AADT estimation error, it can be concluded that the current practice in treating missing data does not involve a considerable compromise in the accuracy of AADT estimation. This highlights the robustness of the current estimation practice, suggesting that it can be effectively applied in statewide traffic monitoring programs without a significant loss of accuracy. Full article

There are many types of probes available on the market for measuring ambient dose equivalent rates (ADERs), which makes intercomparison exercises essential to ensure data comparability and reliability. This study evaluated the performance of four widely used and similarly priced probes—the Reuter-Stokes ionization chamber, the RX04L from BITT, the MIRA from ENVINET, and the LB9360 from Berthold. The Reuter-Stokes ionization chamber was also taken as reference. Measurements were continuously conducted in Bilbao, northern Spain, during the period 2017–2021 under background conditions as well as during episodes of heavy rainfall and extreme temperatures. Results show that the BITT proportional counter exhibited the highest consistency with the Reuter-Stokes chamber under all meteorological conditions, and excellent stability even during extreme conditions. The Berthold probe displayed similar trends, but systematically overestimated dose rates, while the Geiger–Müller-based detector showed acceptable agreement under rainfall, but clear instability during temperature extremes. These findings highlight the importance of probe selection in environmental radioactivity networks as well as the use of reliable instruments for integration into modernized radiological surveillance systems. Full article

Background: This study investigates the association between diagnostic delay (DD) and clinical and behavioral variables among Japanese women with endometriosis, and explores an optimal cut-off point distinguishing short and long DD. Methods: a cross-sectional online survey was conducted among 220 Japanese women aged 18–49 diagnosed with endometriosis. Data on healthcare behaviors, economic expenditures, and disease-specific outcomes were analyzed by stratifying participants based on DD length. Multivariate logistic regression models were applied. Results: the mean age at initial symptom onset was 24.3 years, and at diagnosis, 27.7 years. The median DD was 1.5 years, with significant differences between short and long DD groups (p < 0.001). Longer DD was significantly associated with greater use of over-the-counter (OTC) pain medication (p = 0.008) and a higher proportion of Stage IV endometriosis (p = 0.022). Conclusions: diagnostic delays longer than 1.5 years may contribute to disease progression and reliance on self-management, potentially postponing medical consultation. Early intervention strategies, including screenings and public awareness, may promote timely healthcare-seeking behavior. Future studies should prioritize clinical assessments and early diagnosis to reduce the burden of advanced disease. Full article

This study presents SAIL-Y (Sailing Artificial Intelligence for Learning in Youth), a novel gender-focused recommender system designed to promote female participation in STEM careers through data-driven guidance. Drawing inspiration from the metaphor of an academic journey as a voyage, SAIL-Y functions as a digital compass—leveraging socioeconomic profiles and standardised test results (Saber 11, Colombia) to help students navigate career decisions in high-impact academic fields. SAIL-Y integrates multiple machine learning strategies, including collaborative filtering, bootstrapped data augmentation to rebalance gender representation, and socioeconomic-aware conditioning, to generate personalised and bias-controlled career recommendations. The system is explicitly designed to skew recommendations toward STEM disciplines for female students, countering systemic underrepresentation in these fields. Using a dataset of 332,933 Colombian students (2010–2021), we evaluate the performance of different recommendation architectures under the SAIL-Y framework. The results show that a gender-oriented recommender design increases the proportion of STEM career recommendations for female students by up to 25% compared to reference models. Beyond technical contributions, this work proposes an ethically aligned paradigm for educational recommender systems—one that empowers rather than merely predicts. SAIL-Y is thus envisioned as both a methodological tool and a socio-educational intervention, supporting more equitable academic journeys for future generations. Full article

Robots play a crucial role in experimental smart cities and are ubiquitous in daily life, especially in complex environments where multiple robots are often needed to solve problems collaboratively. Researchers have found that the swarm intelligence optimization algorithm has a better performance in planning robot paths, but the traditional swarm intelligence algorithm cannot be targeted to solve the robot path planning problem in difficult problem. Therefore, this paper aims to introduce a fuzzy controller, mutation factor, exponential noise, and other strategies on the basis of particle swarm optimization to solve this problem. By judging the moving speed of different particles at different periods of the algorithm, the individual learning factor and social learning factor of the particles are obtained by fuzzy controller, and using the leader particle and random particle, designing a new dynamic balance of mutation factor, with the iterative process of the adaptation value of continuous non-updating counter and continuous updating counter to control the proportion of the elite individuals and random individuals. Finally, using exponential noise to update the matrix of the population every 50 iterations is a way to balance the local search ability and global exploration ability of the algorithm. In order to test the proposed algorithm, the main method of this paper is simulated on simple scenarios, complex scenarios, and random maps consisting of different numbers of static obstacles and dynamic obstacles, and the algorithm proposed in this paper is compared with eight other algorithms. The average path deviation error of the planned paths is smaller; the average distance of untraveled target is shorter; the number of steps of the robot movements is smaller, and the path is shorter, which is superior to the other eight algorithms. This superiority in solving multi-robot cooperative path planning has good practicality in many fields such as logistics and distribution, industrial automation operation, and so on. Full article

The article presents the results of original research on determining the abrasive properties of composite materials with an epoxy resin matrix reinforced with basalt particles in the form of powder and pine chips from the post-production waste of wooden elements. There are many studies available in the literature on the modification of composite materials in terms of achieving the required strength properties, but there is little information available in the area of achieving specific functional properties of composite materials, e.g., abrasive properties. Three composite materials with different proportions of the material components were made. These materials were tested using standardized tests to determine their mechanical properties, and these properties were compared in relation to the matrix material (epoxy resin). In order to determine the abrasive properties, an original research stand was made, on which the composites were tested using counter-samples made of an aluminum alloy. The mass loss of samples and counter-samples after the friction test was measured and determined. Changes in the electrospindle supply current and rotational measurements were also made. The values measured and determined in the tests were used as indicators of the abrasiveness of composite materials. It was shown that both the loss of mass of the sample and counter-sample and the parameters of the electrospindle operation are good, convenient indicators of the abrasive properties of the tested materials. The obtained results were subjected to statistical analyses. Optical 3D scans of the surfaces of exemplary samples were presented. Full article

(1) Background: As digitalisation transforms society, digital competences are increasingly essential. Yet students’ digital competences often vary significantly, largely influenced by socio-economic background. Some schools—termed “resilient schools”—effectively counter these disadvantages and foster high digital competence. This study investigates the prevalence of such schools and examines how they differ from others. (2) Methods: Drawing on representative ICILS 2023 data, quantitative secondary analyses—including descriptive statistics, t-tests, and multiple regression—were conducted. Following the identification of resilient schools, in-depth analyses focus on those countries with substantial proportions of resilient schools above 10 percent (Austria, Italy, and Portugal), as these countries seem to have effective strategies to foster school resilience. (3) Results: The findings highlight considerable cross-national variation, indicating that school resilience is context-dependent. Resilient schools consistently emphasise student learning-related factors—such as ICT-related attitudes and educational aspirations—while the influence of home environments is less pronounced than in other schools. (4) Conclusions: Strengthening student learning-related factors appears to be crucial for building digital resilience. These insights can inform policy and practice aimed at fostering educational equity and closing the digital divide, particularly in socio-economically disadvantaged contexts. Full article

Chronic pain is a prevalent public health concern in the United States, frequently managed with over-the-counter (OTC) painkillers without professional medical supervision. This study investigates household-level patterns of over-the-counter painkiller use utilizing a nationally representative dataset from NielsenIQ, focusing on how reported health conditions, whether self-identified or professionally diagnosed, affect purchasing behaviors. By linking consumer purchase data with self-reported ailment information, this study analyzed painkiller expenditures across different ailment types and demographic groups. Results show that over-the-counter painkiller purchases were highly symptom-driven, particularly for headache-related products, which were the most frequently purchased category across all household types. Nearly one-third of single-member households purchased over-the-counter painkillers for headaches, regardless of diagnosis type, indicating a strong role of perceived need in driving behavior. Females and older individuals more frequently reported ailments, with consistently higher proportions across both pain-related and other conditions. Nonetheless, a notable share of households reported over-the-counter painkiller use without any reported ailments. The findings suggest that diagnostic status plays a limited role in determining over-the-counter painkiller usage, emphasizing the need for improved public health messaging around safe self-medication. These insights can inform targeted education, labeling regulations, and policy interventions to support safer and more equitable pain management practices at the population level. Full article