Search Results (32,222)

Blockchain technology has become a game changer in sectors like accounting and auditing. Its usage is still restricted due to a lack of insight into what drives people to adopt it for financial services like accounting and auditing. This research delves into the factors that influence the adoption of blockchain systems in accounting and auditing services by utilizing an enhanced edition of the Theory of Planned Behavior. In this study, alongside the previously established elements like Attitude, subjective norm, and Perceived Behavioral Control, self-perception and personal moral values are included to reflect how identity and ethics impact decision-making processes. Data were gathered via an online survey (N = 751) conducted on the Prolific platform, and the hypotheses were tested using Structural Equation Modeling. The hypotheses were examined through the Structural Equation Modeling method. The findings indicate that each of the five predictors plays a significant role in influencing Behavioral Intention, with personal moral values being the influential factor followed by subjective norm and Perceived Behavioral Control. Attitude plays an important role in shaping adoption choices and showcases the complexity involved in such decisions. As such, it is crucial to take into account ethical factors when encouraging the use of blockchain technology. This study adds to the existing knowledge of the Theory of Planned Behavior framework, offering insights for companies aiming to boost the implementation of blockchain systems in professional settings. Future research avenues and real-world implications are explored with an emphasis placed on developing targeted strategies that align technological adoption with personal values and organizational objectives. Full article

Oxidative stress plays a critical role in the development of various chronic diseases, leading to major health problems worldwide. There has been increasing interest in using natural antioxidants as complementary agents for maintaining redox homeostasis and assuring a healthy lifestyle. This study aimed to systematically screen the antioxidant potential and cytotoxicity profiles of 19 plant-derived extracts using both a cell-free Fenton reaction-based assay and human monocytic THP-1 cells in vitro. The radical-scavenging capacity varied markedly among the extracts, with Acalypha virginica Linnaeus (ACALYPHA), Acorus calamus Linnaeus (ACORUS), Actinidia deliciosa (A.Chev.) C.F. Liang & A.R. Ferguson (ACTINIDIA), and Heuchera sanguinea Pursh (HEUCHERA) demonstrating strong activity in the chemical assay. In the cellular model, 15 extracts significantly reduced intracellular reactive oxygen species (ROS) levels without inducing cytotoxicity at effective concentrations. Notably, Acalypha virginica Linnaeus (ACALYPHA), Actinidia deliciosa (A.Chev.) C.F. Liang & A.R. Ferguson (ACTINIDIA), Dianthus superbus Linnaeus subsp. superbus (DIANTHUS), Succisa pratensis Moench (SUCCISA), and Typha laxmannii Lepech (TYPHA) exhibited consistent antioxidant efficacy across multiple doses. At higher concentrations, all extracts triggered apoptosis and/or necrosis, emphasizing the importance of defining safe ranges. These findings provide a comprehensive comparative analysis of Mediterranean plant-based natural antioxidants obtained by an in vitro approach. The selected plant extracts could be considered as promising candidates for the development of strategies targeting oxidative stress-related disorders. Further investigations considering the specific phytochemical composition of each extract and in vivo validation are needed to confirm their efficacy and safety. Full article

Background and Objectives: Primary vesicoureteral reflux (VUR) is a common pediatric urological disorder that can lead to significant renal morbidity if undetected or improperly managed. Ultrasound (US) plays a pivotal role in its assessment, providing a radiation-free tool to prenatal assessment, diagnosis, treatment, and long-term follow-up. This study aims to systematically review the literature on the use of US in pediatric primary VUR, emphasizing its applications in prenatal and postnatal diagnosis, intraoperative guidance, and follow-up monitoring. Methods: A systematic review of the literature was performed on PubMed in accordance with PRISMA guidelines. The research strategy used the following keywords: Ultrasound Vesicoureteral reflux, VUR Ultrasound, and VUR Sonography. A total of 2222 records were initially identified. After screening titles and abstracts for relevance, 2165 studies were excluded because they did not focus on ultrasound procedures, did not specify age limits, were redundant, involved non-homogeneous populations, or were unavailable in full text. Results: Prenatal US enables early identification of urinary tract anomalies suggestive of VUR, facilitating targeted postnatal evaluation. Postnatally, contrast-enhanced voiding ultrasound (CEVUS) offers a non-ionizing method for VUR confirmation or exclusion. Intraoperatively, US improves the accuracy and efficacy of bulking agent placement, potentially enhancing surgical outcomes. In follow-up, US remains essential for both conservatively managed and surgically treated patients, enabling timely detection of complications or recurrence. Conclusions: Ultrasound represents a useful tool in the management of pediatric primary VUR, applicable across all clinical stages, avoiding radiation exposure, and improving surgical effectiveness and follow-up management. Full article

Monoacylglycerol lipase (MAGL) is a key serine hydrolase involved in lipid metabolism, catalyzing the hydrolysis of monoacylglycerols into free fatty acids and glycerol. MAGL plays a central role in regulating endocannabinoid signaling and lipid homeostasis, processes often dysregulated in cancer and other pathological conditions. In recent years, MAGL has emerged as a promising therapeutic target, particularly in oncology, where its inhibition has shown potential to impair tumor growth, metastasis, and inflammation-driven processes. Alongside the development of selective MAGL inhibitors, several biochemical methods have been established to measure MAGL enzymatic activity, providing essential tools for target validation and inhibitor characterization. In this review, we provide a comprehensive and critical overview of the main approaches developed for MAGL activity evaluation, including radiometric, chromatographic, colorimetric, fluorescence-based, bioluminescence-based, and activity-based protein profiling (ABPP) assays. For each method, we discuss principles, advantages, and limitations. This review aims to support researchers in the selection of the most appropriate assay strategy for their experimental needs, ultimately fostering the rapid and accurate development of novel MAGL inhibitors with potential applications in cancer therapy and metabolic disease management. Full article

This study explores older passengers’ attitudes, behavior, and evaluations of digital air travel, as well as the impact of digital technologies on this demographic, using China as a case study. The findings of this study offer valuable insights for air transport companies to develop sustainable operational strategies, increase passenger satisfaction, and potentially achieve long-term viability. A structured questionnaire survey was conducted targeting this subgroup, applying the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) as the primary analytical frameworks. While the study’s sample is skewed towards digitally literate individuals, this subgroup remains highly relevant for analyzing digital impact trends, as they are the most likely to interact with and be influenced by digital air travel tools. This study suggests that older passengers, particularly young-old passengers, in China have a generally positive attitude towards the use of digital air travel tools, with time saving, convenience, and cost saving identified as the top three perceived benefits. Over 80% of participants indicated that digital technology influenced their decision to continue choosing air travel, highlighting a link between digital engagement and sustainable passenger behavior. However, as this study is limited to digitally literate “young-old” passengers in China, the findings should be interpreted as exploratory and context-specific rather than globally generalizable. Future studies are needed with broader age groups and mixed methods to verify these results. Full article

Heart failure (HF) has become an emerging problem, especially in regions where life expectancy is increasing. Despite its prevalence, the mechanisms behind HF development are not well understood, which is reflected in the lack of curative therapies. Mitochondria, autophagy, and sirtuins form a crucial triad involved in HF pathogenesis, interconnected by oxidative stress. Identifying a common pathway involving these three components could be valuable in developing new treatment strategies. Since HF is the end result of several cardiovascular diseases, this review highlights the main HF precursors and explores the roles of mitochondrial quality control (mtQC), autophagy, and sirtuins in HF development. Dysfunctional mitochondria may play a key role by enhancing oxidative stress and influencing autophagy and sirtuins, both of which possess antioxidant properties. The dual nature of autophagy—its pro-life and pro-death roles—may contribute to different outcomes in HF related to oxidative stress. As mtQC, autophagy, and sirtuins may interact, we present data on their mutual dependencies in HF. However, the specificity of these interactions remains unclear and needs further investigation, which could help identify new therapeutic targets. In conclusion, the interplay between mtQC, autophagy, and sirtuins may be crucial in HF pathogenesis and could be leveraged in developing HF treatments. Full article

Background/Objectives: Melanoma cells enhance glycolysis and expand lysosomes to support energy metabolism, proliferation, and metastasis. However, lysosomal membrane permeabilization (LMP) causes cathepsin leakage into cytosol triggering cytotoxicity. This study investigated the antimelanoma effect of 2-deoxy-D-glucose (2DG), an inhibitor of glycolytic enzyme hexokinase-2, in combination with cathepsin C-dependent LMP inducer L-leucyl-L-leucine methyl ester (LLOMe) and cathepsin C-independent LMP-inducers mefloquine and siramesine. Methods: The viability of A375 and B16 melanoma cells and primary fibroblasts was measured by crystal violet. Apoptosis, necrosis, and LMP were assessed by flow cytometry; caspase activation, mitochondrial depolarization, superoxide production, and energy metabolism were analyzed by fluorimetry, and expression of cathepsins and hexokinase-2 was evaluated by immunoblot. Appropriate inhibitors, antioxidant, and energy boosters were used to confirm cell death type and mechanism. Results: LLOMe triggered LMP, mitochondrial depolarization, and mitochondrial superoxide production, while suppressing oxidative phosphorylation. 2DG suppressed glycolysis and, together with LLOMe, synergized in ATP depletion, caspase activation, and mixed apoptosis and necrosis in A375 cells. Inhibitors of lysosomal acidification, cysteine cathepsins, and caspases, as well as antioxidant and energy boosters, reduced 2DG+LLOMe-induced toxicity. Cathepsins B, C, and D were lower, while hexokinase-2 was higher in A375 cells than fibroblasts. Accordingly, 2DG exhibited lower while LLOMe exhibited higher toxicity against fibroblasts than A375 and B16 cells. However, mefloquine and siramesine induced stronger LMP in A375 cells than in fibroblasts and showed melanoma-selective toxicity when combined with 2DG. Conclusions: 2DG-mediated glycolysis inhibition in combination with lysosomal destabilization induced by mefloquine and siramesine, but not with non-selectively toxic LLOMe, may be promising antimelanoma strategy. Full article

The widespread use of neonicotinoid insecticides has led to increasing resistance in non-target organisms, including the egg parasitoid Trichogramma dendrolimi, a crucial biological control agent. Film-residue bioassays on 17 geographic strains revealed striking inter-strain variability in susceptibility to imidacloprid, with mortality at a discriminating dose of 0.1 mg/L ranging from 25.7% to 87%. The most tolerant (FS) and least tolerant (HA) strains were subsequently selected for evaluation of biological parameters and comparative transcriptomics. Tolerant strains (FS) showed adaptive trade-offs: extended longevity (5.47 ± 0.57 d) and emergence (93.6 ± 1.9%), but reduced fecundity (54.6 ± 4.9 eggs) compared to HA. Transcriptome analysis revealed 2115 differentially expressed genes, with GO enrichment highlighting metabolic and detoxification pathways. KEGG analysis the most enriched pathways were “Protein digestion and absorption” and “Neuroactive ligand-receptor interaction”. RT-qPCR confirmed overexpression of CYP4C1, CYP6K1, and GstS1 in FS, indicating their potential roles in metabolic resistance if present. This study presents preliminary evidence of potential fitness trade-offs and molecular mechanisms that could underly imidacloprid resistance in T. dendrolimi, which may lead to important insights for resistance monitoring and more sustainable integrated pest management strategies. Full article

Background: Evidence on how everyday walking and sleep relate to mood in health profession students from Central–Eastern Europe remains limited. Methods: We conducted a cross-sectional study among 277 Romanian medical students. Data were collected using validated instruments for physical activity (IPAQ-SF), sleep quality (PSQI), and depressive/anxiety symptoms (HADS). Associations were examined using bivariate and multivariable regression models, including sex-stratified analyses. Results: In bivariate analysis, total physical activity was inversely correlated with depressive symptoms (ρ = −0.19, p < 0.001). However, in the multivariable model, this effect was not statistically significant after controlling for other factors. Poor sleep quality emerged as the dominant independent predictor of both depression (β = 0.37, p < 0.001) and anxiety (β = 0.40, p < 0.001). Walking time and frequency were specifically protective against depressive symptoms. Sex-stratified analyses revealed distinct patterns: female students benefited more from walking, whereas male students showed stronger associations between overall physical activity and lower depressive symptoms. Conclusions: Within the constraints of a cross-sectional design, this study provides novel evidence from Eastern Europe that sleep quality and physical activity are central to student mental health. Psychological benefits of walking appear sex-specific, and the null mediation finding suggests benefits operate via direct or unmodelled pathways. Sleep is a critical independent target for tailored, lifestyle-based strategies. Full article

Maintaining a high-quality urban environment remains a critical yet challenging issue in modern cities, particularly in densely built and historically significant central areas. In response, the European Green Deal initiative aims to promote sustainable urban development. This study presents a multi-criteria assessment methodology for evaluating urban environments, with a focus on prioritizing thermal renovations of buildings to achieve substantial environmental improvements. The research adopts a centrifugal strategy, targeting buildings with the poorest energy performance for phased renovation efforts. Using the model city of Gubin, Poland, as a case study, the assessment proceeds through five stages: evaluating technical wear (Stages I–II), estimating replacement values and renovation costs (Stages III–IV), and finally, quantifying environmental benefits from energy efficiency upgrades (Stage V). Findings reveal that buildings in the lowest energy class (Class G) require investments of 111–193% of their replacement value but can deliver CO₂ emissions reduced to 1/6.2 of the original level (an approximate 84% reduction). The primary contribution of this paper is the development and application of a novel multi-criteria assessment methodology for evaluating urban environments, specifically designed to prioritize thermal renovations in central urban areas to achieve significant environmental and economic benefits. The study provides valuable economic and environmental indicators that can guide the formulation of pro-environmental urban policies and support strategic decision-making in cities with dense populations and aging infrastructure. Full article

This paper introduces a hybrid learning framework that synergistically combines Reinforcement Learning (RL) and Supervised Learning (SL) to train autonomous cyber-defense agents capable of operating effectively in dynamic and adversarial environments. The proposed approach leverages RL for strategic exploration and policy development, while incorporating SL to distill high-reward trajectories into refined policy updates, enhancing sample efficiency, learning stability, and robustness. The framework first targets specialized agent training, where each agent is optimized against a specific adversarial behavior. Subsequently, it is extended to enable the training of a generalized agent that learns to counter multiple, diverse attack strategies through multi-task and curriculum learning techniques. Comprehensive experiments conducted in the CybORG simulation environment demonstrate that the hybrid RL–SL framework consistently outperforms pure RL baselines across both specialized and generalized settings, achieving higher cumulative rewards. Specifically, hybrid-trained agents achieve up to 23% higher cumulative rewards in specialized defense tasks and approximately 18% improvements in generalized defense scenarios compared to RL-only agents. Moreover, incorporating temporal context into the observation space yields a further 4–6% performance gain in policy robustness. Furthermore, we investigate the impact of augmenting the observation space with historical actions and rewards, revealing consistent, albeit incremental, gains in SL-based learning performance. Key contributions of this work include: $\left(i\right)$ a novel hybrid learning paradigm that integrates RL and SL for effective cyber-defense policy learning, $\left(ii\right)$ a scalable extension for training generalized agents across heterogeneous threat models, and $\left(iii\right)$ empirical analysis on the role of temporal context in agent observability and decision-making. Collectively, the results highlight the promise of hybrid learning strategies for building intelligent, resilient, and adaptable cyber-defense systems in evolving threat landscapes. Full article

Understanding the climate change impacts on the geographical distribution of plant species is vital for biodiversity conservation. Lycium ruthenicum, a second-grade protected plant in China, holds considerable medicinal and ecological value; however, its potential habitat distribution under climate change remains uncertain. By utilizing occurrence records and geographical and environmental data, we optimized a maximum entropy model and evaluated the current and future potential habitat suitability of L. ruthenicum in China. The main results were as follows: (1) The distribution of L. ruthenicum was primarily influenced by the precipitation of the warmest quarter, topsoil base saturation, precipitation seasonality, precipitation of the coldest quarter, and minimum temperature of the coldest month. (2) Under the current conditions, the potential suitable area of L. ruthenicum was approximately 2.25 × 10⁶ km² in China, predominantly distributed in Xinjiang, Qinghai, Gansu, Ningxia, and Inner Mongolia. (3) An obvious reduction in the predicted suitable area of L. ruthenicum was found under future climate scenarios, with the centroid primarily shifting northeastward. These findings highlight the potential vulnerability of this medicinally and ecologically important species and underscore the urgent need for targeted conservation strategies to ensure its long-term survival. Full article

Alzheimer’s disease (AD) requires early and accurate identification of affected brain regions, which can be achieved through the detection of specific biomarkers to enable timely intervention. Carbon nanomaterials (CNMs), including graphene derivatives, carbon nanotubes, graphitic carbon nitride, carbon black, fullerenes, and carbon dots, offer high conductivity, large electroactive surface area, and versatile surface chemistry that enhance biosensor performance. While such properties benefit a wide range of transduction principles (e.g., electrochemical, optical, and plasmonic), this review focuses on their role in electrochemical biosensors. This review summarizes CNM-based electrochemical platforms reported from 2020 to mid-2025, employing aptamers, antibodies, and molecularly imprinted polymers for AD biomarker detection. Covered topics include fabrication strategies, transduction formats, analytical performance in complex matrices, and validation. Reported devices achieve limits of detection from the femtomolar to picogram per milliliter range, with linear ranges typically spanning 2–3 orders of magnitude (e.g., from femtomolar to picomolar, or from picogram to nanogram per milliliter levels). They exhibit high selectivity against common interferents such as BSA, glucose, uric acid, ascorbic acid, dopamine, and non-target peptides, along with growing capabilities for multiplexing and portable operation. Remaining challenges include complex fabrication, limited long-term stability and reproducibility data, scarce clinical cohort testing, and sustainability issues. Opportunities for scalable production and integration into point-of-care workflows are outlined. Full article

Although stroke prevalence remains one of the leading causes of death and morbidity in the United States, there is paucity of ecological studies at the census tract level that elucidate geospatial associations between predictors of stroke prevalence in states across U.S. Health and Human Services Region 3 (HHS Region 3: Delaware, Maryland, Pennsylvania, Virginia, West Virginia, and the District of Columbia). This study operationalized the Health Opportunity Index (HOI) by exploring the geospatial relationship between the 13 indicators of the HOI and stroke prevalence at the census tract level in HHS Region 3 using four HOI indicator profiles: (a) neighborhood and built environment profile, (b) social and community context profile, (c) resource profile, and (d) economic profile. The methodological approach was quantitative using secondary data. The sample size was 8021 census tracts. The HOI was estimated for each census tract in the study area. Geographic weighted regression model was run to examine the varying strengths and direction of geospatial relationship of 13 HOI indicators and stroke prevalence across census tracts in HHS Region 3. The results showed variation in the geographic weighted regression (GWR) local estimated coefficients for each indicator across the study area, reflecting variation in the strength and direction of the associations. The findings of our study can guide the identification of geographic priorities for resource allocation, design of quality improvement interventions, inform policy creation and targeted local strategies for stroke prevention services across neighborhoods, support grant applications, and inform future research on stroke prevalence in HHS Region 3. Full article

Background: Seborrheic dermatitis (SD) is a chronic, recurrent inflammatory dermatosis that primarily affects seborrheic areas such as the scalp, face, and upper trunk. Its etiology is multifactorial, involving sebaceous gland activity, immune dysregulation, skin barrier dysfunction, and alterations in the microbiome, particularly an overgrowth of Malassezia spp. Objective: This review provides an updated overview of the pathophysiological mechanisms of seborrheic dermatitis and critically examines current therapies and emerging treatments. Methods: A narrative review of the recent literature was conducted, including preclinical studies, clinical trials, and real-world evidence regarding SD pathogenesis and therapy. Special attention was paid to molecular pathways, microbiome-modulating strategies, and novel therapeutic agents. Results: Advances in transcriptomic and microbiome profiling have revealed a complex immunoinflammatory environment in SD, involving predominantly Th1, Th17, and Th22 axes. Conventional therapies are mainly based on antifungals, topical corticosteroids, and calcineurin inhibitors. However, new therapeutic approaches are under investigation, including PDE4 inhibitors (roflumilast, crisaborole, and apremilast), topical and oral JAK inhibitors, probiotics, and microbiome-targeted therapies. These agents offer promising results in selected patients, particularly those with refractory disease or facial involvement. Conclusions: SD remains a challenging condition due to its relapsing course and limited long-term therapeutic options. Emerging therapies represent a valuable opportunity to address unmet clinical needs, particularly in patients with severe, recurrent, or treatment-resistant forms. Full article