Search Results (10,304)

The emergence of generative AI, particularly the widespread accessibility of ChatGPT, has led to challenges for higher education. The extent and manner of use are under debate. Local empirical investigations about the use and acceptance of ChatGPT contribute to effective policymaking. The study employs a specialized approach, utilizing an information system view based on the DeLone and McLean Information Systems Success Model as its theoretical framework. A survey was conducted to assess students’ opinions about ChatGPT regarding its usefulness in their studies. The model was tested using PLS-SEM with 466 Hungarian and Romanian higher education students. The model examined six constructs as information quality, system quality, service quality, use, user satisfaction, and net benefits. The results confirmed the effects of information quality and system quality on use and satisfaction, whereas service quality did not make a significant contribution. Satisfaction was found to be the key driver to use. The study contributes to a deeper understanding of AI acceptance in higher education and provides valuable considerations for policymaking. A data-oriented, task-focused policymaking is recommended over system-based regulation. Additionally, a comprehensive framework model is required for international comparisons, which combines information systems success and technology acceptance models. Full article

The standing seam metal roof system is wind-sensitive due to its light weight and decreasing stiffness as the span increases, and in recent years there have been a number of wind-exposed damages to the structures where these roof systems have been applied. In order to study the wind-uplifted resistance reliability of different types of standing seam metal roof systems, and then to evaluate their safety level, a reliability analysis framework was developed. The proposed approach integrates the Latin Hypercube Sampling–Monte Carlo Simulation (LHS–MCS) method to assess the wind-uplifted resistance reliability of standing seam metal roof systems. Taking Jinan Yaoqiang International Airport Terminal Building’s standing seam Al-Mg-Mn roof system and Urumqi Tianshan International Airport Transportation Center’s standing seam Al-Zn-plated steel roof system as the objects of research, the research was carried out from the aspects of wind uplift test, wind tunnel test, finite element simulation, and wind-uplifted resistance reliability analysis. The study shows the following: the wind-uplifted resistance bearing capacity of the roof systems is significantly affected by the width of the roof panel, the spacing of the fixed support, the thickness of the roof panel, and the diameter of end interlocking; the effects of the differences in structural parameters and roof types are eliminated by the introduction of a damage index, and the failure forms of different types of roof systems can be unified, and the corresponding limit state function can then be deduced; based on the LHS–MCS method, the reliability indexes of the two common types of standing seam metal roof systems were obtained to be 3.0975 and 3.2850, respectively, which are lower than the requirements of the code for the first safety level, and it is recommended that reinforcement measures be prioritized at the connection points between roof panel and support, such as reducing the spacing of the fixed support or decreasing the diameter of end interlocking, to improve the structural safety. The above study can provide a reference for the safety level assessment, wind resistant design, and sustainable operation and maintenance of different types of standing seam metal roof systems. Full article

Background: There have been no previous comprehensive reports on interstitial lung diseases (ILD) in Israeli population, that may have unique epidemiological features. We aimed to explore ILD in Israel, with an emphasis on disparities between different regions of the country. Methods: The study included consecutive patients with a multidisciplinary diagnosis of ILD, using data from registries of four tertiary medical centers (MC) located in Central and Northern Israel. Multivariate regression models were used to assess the region of residence (peripheral vs. central) as an independent predictor for ILD subtypes. Results: Included were 927 patients with ILD (mean age 67 ± 13, 40% females). Most patients (56–61%) reported working in at least one job that involved relevant inhalational exposures. Despite the geographic proximity of MCs (all within 100 km), significant variations in demographic and clinical characteristics were observed, including age, sex, exposures, and ILD diagnoses (p < 0.01). The most prevalent diagnoses were Idiopathic pulmonary fibrosis (IPF, range 13–58%) and autoimmune-related ILD (11–30%). In peripheral areas, the diagnosis of IPF was more frequent (53% vs. 24%, p < 0.01), while exposure-related ILD (5% vs. 16%, p < 0.01) and autoimmune-related ILD (16% vs. 25%, p < 0.01) were more frequent in central Israel. In multivariate analysis, peripheral residence remained an independent predictor for IPF (AOR 2.95, 95% CI 2.1–4.1) and central residence for exposure-related ILD (AOR 0.46, 95% CI 0.33–0.63). Conclusions: Variations in ILD characteristics were observed between centers in close geographic proximity, highlighting disparities between peripheral and central Israel, and the need for personalized assessment based on local frequencies and exposures. Full article

This study investigates factors influencing migrants’ decisions to enter Europe via Bulgaria or Greece along the Balkan route, using logistic regression and machine learning models on data from the International Organization for Migration (IOM) Flow Monitoring Survey (August 2022–June 2025, $n=5536$). We examine demographic variables (age), push factors (economic reasons, war/conflict, personal violence, limited access to services, and avoiding military service), and governance clusters derived from the World Bank’s Worldwide Governance Indicators (WGIs). An adapted migration gravity model incorporates corruption control as a key push–pull factor. Key findings indicate that younger migrants are significantly more likely to choose Bulgaria ($\beta \approx -0.021$, $p<0.001$), and governance clusters show that migrants from high-corruption origins (e.g., Syria and Afghanistan) prefer Bulgaria, likely due to governance similarities and facilitation costs. The Cluster Model achieves a slight improvement in fit (McFadden’s $R^2=0.008$, AIC = 7367) compared to the Base (AIC = 7374) and Interaction (AIC = 7391) models. Machine learning extensions using LASSO and Random Forests on a subset of data ($n=4429$) yield similar moderate performance (AUC: LASSO = 0.524, RF = 0.515). These insights highlight corruption’s role in route selection, offering policy recommendations for origin, transit, and destination phases. Full article

Across digital platforms, large-scale assessment of customer sentiment has become integral to brand management, service recovery, and data-driven marketing in e-commerce. Still, most studies center on single-language settings, with bilingual and culturally diverse environments receiving comparatively limited attention. In this study, a bilingual sentiment analysis of consumer feedback on X (formerly Twitter) was conducted for three global quick-service restaurant (QSR) brands—McDonald’s, Burger King, and KFC—using 145,550 English tweets and 15,537 Turkish tweets. After pre-processing and leakage-safe augmentation for low-resource Turkish data, both traditional machine learning models (Naïve Bayes, Support Vector Machines, Logistic Regression, Random Forest) and a transformer-based deep learning model, BERT (Bidirectional Encoder Representations from Transformers), were evaluated. BERT achieved the highest performance (macro-F1 ≈ 0.88 in Turkish; ≈0.39 in temporally split English), while Random Forest emerged as the strongest ML baseline. An apparent discrepancy was observed between pseudo-label agreement (Accuracy > 0.95) and human-label accuracy (EN: 0.75; TR: 0.49), indicating the limitations of lexicon-derived labels and the necessity of human validation. Beyond methodological benchmarking, linguistic contrasts were identified: English tweets were more polarized (positive/negative), whereas Turkish tweets were overwhelmingly neutral. These differences reflect cultural patterns of online expression and suggest direct managerial implications. The findings indicate that bilingual sentiment analysis yields brand-level insights that can inform strategic and operational decisions. Full article

The eutrophication of aquatic ecosystems often triggers the excessive growth of cyanobacteria, many of which release toxic metabolites such as microcystins (MCs). When irrigation water is contaminated by these compounds, adverse consequences may arise for plants as well as for animal and human health. In contrast, certain non-toxic cyanobacterial species like Limnospira platensis are increasingly regarded as valuable tools for sustainable agriculture, given their ability to enhance plant nutrition, growth, yield, and stress tolerance while also mitigating the detrimental impacts of MCs. The present work aimed to investigate the potential of L. platensis extract to enhance growth, physiological responses, and tolerance of radish (Raphanus sativus) plants stressed with Microcystis aeruginosa extract containing microcystins. Experiments were conducted in a hydroponic system under controlled environmental conditions, where radish seedlings were cultivated in perlite and exposed for 45 days to M. aeruginosa extract (10 and 40 µg/L of MCs) and L. platensis extract (0.1 and 1 g/L), applied either separately or in combination. The results showed that the application of L. platensis extract, especially at 1 g/L in combination with 40 µg/L of MCs, decreased the bioaccumulation of MCs from 8.81 to 5.35 µg/kg FW in the leaves and from 14.64 to 10.15 µg/kg FW in the taproots. In addition, it significantly stimulated radish growth and improved several biochemical parameters. In contrast, exposure to MCs at 10 and 40 µg/L negatively affected growth, chlorophyll pigments and protein contents while promoting the accumulation of malondialdehyde (MDA), polyphenols and sugars. The activities of peroxidase (POD), superoxide dismutase (SOD), and catalase (CAT) were also increased under MCs stress, suggesting activation of the antioxidant defense system in response to oxidative damage. Combinations of MCs with L. platensis extract, especially at 1 g/L, improved antioxidant enzyme activities by significantly reducing MDA levels, biometric parameters, chlorophyll pigment, and protein and sugar contents. These results indicate that the application of L. platensis extract as a biostimulant can improve radish development, growth, and tolerance to MC-induced stress. Full article

Background: Influenza can cause severe complications, especially in patients with specific risk factors or comorbidities associated with poor outcomes. Some patients are at increased risk of a complicated disease course, including secondary infections, ICU admission, and the need for mechanical ventilation. The first post–COVID-19 seasonal influenza season placed a substantial burden on Dutch ICUs. This study investigates the disease course and outcomes of ICU patients with influenza. Methods: A retrospective influenza registry study was conducted across 34 Dutch ICUs, including patients aged 18 and older admitted to the ICU with a positive influenza RT-PCR test, between 1 November 2023 and 17 March 2024. Data on demographic information, medical history, clinical symptoms, laboratory and imaging results, parameters of mechanical ventilation, additional treatments, length of hospital stay, and mortality was retrieved from the electronic patient record. Results: A total of 498 patients were included in the study. The median age was 64 (IQR: 55–72) years and 58.8% of the patients were men. The most common comorbidities were cardiovascular disease (34.1%), chronic obstructive pulmonary disease (COPD) (31.5%), and diabetes (22.3%). Bacterial co-infections were present in 37.6% of the patients. Invasive mechanical ventilation (IMV) was necessary in 46.0% of patients, 38.0% of those requiring IMV were treated in prone position. A substantial mortality rate was observed, with an ICU mortality rate of 21.9% and an additional hospital mortality rate of 5.2%. Conclusion: This study described the characteristics and course of disease of all patients with laboratory-confirmed influenza infection admitted to one of the 34 participating Dutch ICUs between November 2023 and March 2024. The major findings of this study are the substantial mortality rate, a high proportion of patients with bacterial co-infections, and a significant percentage of patients requiring IMV and prone position ventilation. Finally, patients without comorbidities that were admitted to the ICU with an influenza virus infection showed severe disease parameters but had a lower mortality than patients with comorbidities. Full article

Anion exchange membrane fuel cells (AEMFCs) represent a promising class of clean energy devices, with their performance being critically dependent on the efficiency of the cathode oxygen reduction reaction (ORR) catalyst. Manganese-cobalt spinel (Mn_1.5Co_1.5O₄, MCS) has been demonstrated to be a highly active ORR catalyst. Herein, we report a strategy of incorporating Cu (MCCS) and Fe (MCFS) into MCS to form ternary spinel oxides for tuning ORR activity. Among them, MCS exhibits the best ORR performance, with a half-wave potential (E_1/2) of 0.736 V vs. RHE in 0.1 M KOH and a peak power density (PPD) of 248.3 mW·cm⁻² for the fuel cell test. In contrast, MCCS and MCFS show divergent behaviors in a rotating disk-ring electrode (RRDE) and fuel cell tests. X-ray diffraction (XRD) analyses and X-ray photoelectron spectroscopy (XPS) analyses reveal that the introduction of Cu²⁺ and Fe³⁺ induces a phase transformation in the spinel structure, leading to a reduction in oxygen vacancies and an increase in the valence state of Mn, thereby degrading catalytic activity. However, the incorporation of these elements also modulates the hydration capability of the catalysts, which is critical for the ion and charge transfer in the fuel cell environment and has been validated in the distribution of relaxation time (DRT) analysis of the fuel cell test. This study provides a valuable strategy for designing and synthesizing low-cost, highly efficient, and stable ternary spinel electrocatalysts for AEMFC applications, and bridges the gap between RRDE evaluation and fuel cell testing through DRT analysis. Full article

The coordination of heterogeneous Unmanned Aerial Vehicles (UAVs) for complex, multi-stage tasks presents a significant challenge in robotics and autonomous systems. Traditional linear models often fail to capture the emergent synergistic effects and dynamic nature of multi-agent collaboration. To address these limitations, this paper proposes a novel hierarchical framework based on a Mission Chain (MC) concept. We systematically define and model key elements of multi-agent collaboration, including Mission Chains (MCs), Execution Paths (EPs), Task Networks (TNs), and Solution Spaces (SSs), creating an integrated theoretical structure. Based on this framework, we formulate the problem as a Sensor–Effector–Target Assignment challenge and propose a Marginal Return-Based Heuristic Algorithm (MRBHA) for efficient dynamic task allocation. Simulations demonstrate that our proposed MRBHA achieves a substantially higher total expected mission value—outperforming standard greedy and random assignment strategies by 14% and 77%, respectively. This validates the framework’s ability to effectively capitalize on synergistic opportunities within the UAV network. The proposed system provides a robust and scalable solution for managing complex missions in dynamic environments, with potential applications in search-and-rescue, environmental monitoring, and intelligent logistics. Full article

This paper presents the synthesis of sustainable lignin nanoparticles (LNPs) and their application in methylcellulose (MC) as LNP/MC coatings for handmade papers. LNPs were produced from bulk kraft lignin via an acetone/water and sonication method, then incorporated into a 1 wt% methylcellulose (MC) matrix at concentrations of 0.4, 1, and 2 wt%. Groundwood and cotton linter papers were coated and exposed to 90 °C and 45% relative humidity (RH) for 16 days and the samples’ response to ageing at different concentrations of nanolignin was tested using a multi-analytical approach. The morphology of the LNPs was revealed with scanning electron microscopy, and most LNPs measured below a diameter of 30.8 nm. Colourimetry showed coated samples were inherently darker than uncoated samples but mostly stable in colour. pH remained near neutral for coated groundwood papers during ageing, but cotton papers were consistently acidic. Fourier transform infrared (FTIR) spectroscopy identified spectral similarities between uncoated and coated groundwood samples at approximately 1635 cm^–1 and 1725 cm^–1, attributed to carbonyl and carboxyl groups, suggesting that LNPs did not contribute to the formation of these groups during ageing. Controlled environment dynamic mechanical analysis (DMA-RH) found improved consolidation and lower elongation in most LNP/MC-treated samples. These results indicate that there may be potential for LNPs within paper conservation. Full article

Conventional whole-blood flow assays for quantifying thrombus formation are typically performed at room temperature and are technically demanding, which limits their translational applicability. We engineered a novel, disposable, mountable, and single-channel microfluidic chip (MC-2S), which is based on the Maastricht chamber (MC) and designed for automated evaluation of platelet function, coagulation and fibrinolysis under physiological conditions. The MC-2S chip allows customizable choices of thrombogenic surfaces, such as collagen and tissue factor. The chip was used in combination with an adapted, 1.3 kg brightfield/fluorescence microscope, operating at physiological temperature (37 °C), and with scripts for automated multicolor analysis of image features. The integrated system enables a robust, rapid, and high-content quantification of the kinetics of thrombus formation and dissolution. In platelet-sensitive mode, MC-2S demonstrated high sensitivity to antiplatelet therapy with aspirin or cangrelor. In coagulation-sensitive mode, it detected the anticoagulant effect of rivaroxaban plus its reversal by andexanet-α. In fibrinolysis-sensitive mode, it monitored tissue-type plasminogen activator-induced thrombus dissolution, inhibited by tranexamic acid. Collectively, the MC-2S platform was found to provide a versatile, physiologically relevant tool for functional hemostasis testing, with high potential for the acute and subacute evaluation of patient blood samples in the context of bleeding disorders, thrombosis risk, and drug monitoring. Full article

This article represents a brief overview of the recent achievements in the treatment of multiple myeloma. New opportunities and treatment challenges are discussed in the context of risk factors regarding outcomes. The options for specific targeted treatments are discussed, and references are made to recent guidelines on the diagnosis and treatment of multiple myeloma. Full article

This narrative review of Alzheimer’s disease (AD) history, therapy and prevention shows that its conceptualization has changed three times over 100 years. First, AD was a normative creation by Kraepelin in 1910 of a rare presenile dementia characterized by specific histological features. Second, during the 1970s, American neurologists, driven by sociological changes, merged presenile and senile dementias into an Alzheimer-type dementia with the universally accepted clinicopathological diagnostic criteria of McKhann. By the end of the 20th century, AD was divided into early-onset genetic (1%) and late-onset sporadic (99%) forms. In the 21st century, AD was redefined as a biological entity, using biological and neuroimaging markers of amyloid, tau and neurodegeneration, to better address research and clinical trials. This new nosology has been widely criticized, given the absence of curative therapy, the evidence of mixed pathology in most cases and the decline in the dementia/AD incidence in high-income countries. However, there are currently many drugs against AD in the pipeline; prevention appears as medical and social therapy. In summary, the ancient concept of age-related dementia has evolved into AD normative disorders over 100 years. Nowadays, AD requires a conceptual reassessment, although its medical paradigm remains. Awaiting pharmacological breakthroughs, dementia prevention seems the best practical approach. Full article

The building sector represents a major frontier in the global response to climate change, accounting for approximately one-third of global energy consumption and a comparable share of energy-related carbon dioxide emissions. This review conducts a PRISMA-ScR–based scoping synthesis of technological, behavioural, and policy pathways to achieve energy efficiency and deep decarbonization in buildings. It systematically examines passive design principles, high-performance envelopes, efficient HVAC and lighting systems, renewable energy integration, building energy modelling, and retrofit strategies. The study also addresses the role of regulatory instruments, energy codes, and certification schemes in accelerating sectoral transformation. The synthesis identifies three cross-cutting drivers of decarbonization: integrated design across building systems, digitalization enabling predictive and adaptive operation, and robust policy frameworks ensuring large-scale implementation. The review concludes that while most technologies required to reach zero-emission buildings are already available, their potential remains underutilized due to fragmented policies, limited retrofit rates, and behavioural barriers. Coordinated implementation across technology, governance, and user engagement is essential to realise a net-zero building sector. Full article

Cardiogenic shock (CS) is a complex, life-threatening syndrome characterized by inadequate tissue perfusion due to impaired cardiac function. Acute myocardial infarction (AMI) and acute decompensated heart failure are the leading causes, with mortality remaining high despite advances in revascularization and supportive care. The Society for Cardiovascular Angiography and Interventions (SCAI) classification allows risk stratification and guides clinical decision making by capturing the spectrum of shock severity. Percutaneous mechanical circulatory support (pMCS) devices, such as the intra-aortic balloon pump (IABP) and Impella, aim to stabilize hemodynamics by augmenting cardiac output and unloading the left ventricle. However, randomized trials and meta-analyses have not demonstrated a consistent survival advantage of Impella over IABP, while reporting higher rates of bleeding and vascular complications. Landmark trials, including ECLS-SHOCK and DanGer, have provided conflicting results, likely reflecting differences in baseline severity and timing of device implantation. Veno-arterial extracorporeal membrane oxygenator (VA-ECMO) offers full cardiopulmonary support but increases left ventricular afterload, potentially worsening myocardial injury. Combined strategies such as ECPELLA (Impella + VA-ECMO) or ECMO + IABP may mitigate left ventricle (LV) overload and improve bridging to recovery or advanced therapies, although evidence remains largely observational and complication rates are considerable. In right-sided or biventricular failure, tailored options (e.g., Impella RP, Bi-Pella) guided by invasive hemodynamics may be required. Current evidence suggests that pMCS benefits are limited to carefully selected subgroups, underscoring the importance of early diagnosis, prompt referral, and individualized intervention. Robust randomized data are still needed to define the optimal role of pMCS in AMI-related CS. Full article