Search Results (15,289)

This study investigates the relationship between banking sector stability and economic growth in Ethiopia, employing a dynamic panel data approach with the Two-Step System Generalized Method of Moments (GMM). The analysis uses a balanced dataset from 13 Ethiopian commercial banks covering 2014 to 2023, gathered from the World Bank database, the National Bank of Ethiopia, and audited financial statements. Banking sector stability is assessed using indicators such as Z-score, non-performing loan (NPL) ratio, capital adequacy ratio (CAR), liquidity ratio (LR), return on assets (ROA), and loan-to-deposit ratio (LDR), along with key macroeconomic and institutional factors. The results show that banking stability, as indicated by Z-score, liquidity ratios, and profitability, has a positive and significant effect on economic growth, confirming the sector’s role in promoting development. Surprisingly, a positive correlation between NPLs and economic growth suggests unique structural features in the Ethiopian banking system that warrant further investigation. Other variables, such as inflation rates, government expenditure, and gross domestic savings, positively influence economic growth, whereas foreign direct investment is negatively associated with it. The study highlights the importance of enhancing the stability of the banking sector by implementing robust regulatory frameworks, prudent risk management practices, and improved profitability to support sustainable economic development in Ethiopia, while calling for additional research into the unexpected effects of NPLs and FDI amid ongoing financial reforms. Full article

River corridor rehabilitation is increasingly expected to deliver coupled outcomes by combining ecological recovery with measurable improvements in human well-being. Cultural ecosystem services (CESs), the non-material benefits people derive from landscapes, are central to this objective but remain difficult to operationalize in securitized transboundary settings, where border governance, uneven mobility, and community histories shape access to rivers and the formation of cultural meanings. This study examines whether perceived conservation effectiveness is associated with higher CES value in the Lower Jordan River Basin (LJRB) and whether this association persists after accounting for the community-group structure. Using survey data from 445 respondents across seven community groups, the perceived CES valuation was assessed through a five-point Cultural Significance rating, analyzed alongside conservation-related and contextual variables. Conservation was measured through perceived conservation impact and self-reported conservation involvement (yes/no). A staged inference design combined group comparisons and multivariable regression with adjustments for the community-group structure and contextual controls. Conservation involvement was not associated with meaningful differences in Cultural Significance. The perceived conservation impact showed a positive association in pooled and simple models but lost independent significance after adjusting for community-group structure, which accounted for much of the explanatory power. These findings indicate that CES valuation in the LJRB is structured more by community-group differences and borderland conditions than by individual conservation participation, underscoring the importance of locally encounterable outcomes and group-tailored engagement strategies in transboundary river planning. Full article

Teachers’ readiness in bilingual early childhood education is increasingly recognized as a multidimensional construct shaped by both professional and language-related factors. However, existing research has typically examined these factors separately, with limited evidence on how they combine across teacher groups, particularly in minority-language contexts. This study examined teachers’ readiness to deliver state-language instruction to dual language learners (DLLs) in Hungarian-medium kindergartens in Slovakia. A total of 313 kindergarten teachers participated in the study. Data were collected through a survey assessing multiple dimensions of readiness. Principal component analysis and confirmatory factor analysis supported a six-factor model comprising professional preparation, teacher competencies, challenge management, instructional aids use, professional needs, and Slovak language use outside kindergarten. Latent profile analysis identified three readiness profiles (low, moderate, and high), reflecting differences in overall preparedness. Background characteristics, particularly age, teaching experience, and language-related factors, were significantly associated with higher readiness. Teachers who used Slovak more frequently in everyday contexts showed higher readiness. Mediation analysis indicated that language proficiency and preferred language use did not mediate the relationship between teaching experience and teachers’ readiness, but functioned as independent predictors. These findings highlight the joint importance of professional and language-related factors in shaping teachers’ readiness and offer implications for teacher education and policy in bilingual early childhood settings. Full article

Throughout this study, the short-term stability of methanol extracts was evaluated in cases of 15 distinctive, antioxidant-rich plant materials over 3, 7, and 14 days under refrigeration (4 °C), dark room-temperature, and light-exposed room-temperature conditions. A great variability in the matrix-dependent stability of the antioxidants, as well as the pronounced impact of the implied storage conditions on their plausible degradation, was revealed and featured. Initial total polyphenol content (TPC) ranged from 50.50 ± 0.44 mg gallic acid (GAE)/g DW (rosemary) to only 0.02 ± 0.006 mg GAE/g DW (amaranth). After 14 days, pigment-rich vegetable extracts (basil, beetroot powder, spinach powder, dried onion, tomato powder, and yarrow tail) lost 86.2–89.2% of TPC and 80–99% of DPPH (2,2-diphenyl-1-picrylhydrazyl) activity across all conditions, even under refrigeration. In contrast, for Lamiaceae species, markedly higher levels of the referred parameters were to be observed after 14-day-long storage. Decrease in TPC values was found to be 43.7% (rosemary), 50.6% (thyme), and 42.9% (oregano), respectively, while DPPH values were reduced by only 17–29%. Turmeric and walnut flour showed intermediate stability. Refrigeration consistently minimized the degradation of antioxidants (e.g., rosemary’s decrease in DPPH was only 20.3% at 4 °C vs. >70% under ambient conditions), while light exposure significantly accelerated losses of antioxidants in nearly all samples. Methanol extracts of many dietary plants, particularly pigment-rich ones, exhibit rapid and pronounced changes during short-term storage. Comparison with values obtained immediately after extraction shows that even brief storage can lead to substantial deviations. Although the current sampling intervals do not capture changes within the first hours, the results clearly indicate the need to minimize delays and standardize analytical timing to avoid underestimating phenolic content and antioxidant capacity. Moreover, these findings demonstrate that measured antioxidant properties are not solely inherent to the plant material but are strongly influenced by the extract matrix and methodological conditions. Consequently, antioxidant data should be regarded as matrix- and protocol-dependent, with important implications for their interpretation, comparability, and reproducibility across studies. Full article

Modern dentistry increasingly relies on light-curing units (LCUs) and lasers in essential clinical procedures such as composite resin polymerization, caries treatment, and periodontal therapy. This review aims to outline the evolution of light-emitting technologies and to assess their potential biological risks, with particular emphasis on effects on the visual system, oral tissues, and microbiome. The development of curing devices is presented chronologically, from the first-generation ultraviolet (UV-A) lamps introduced in the 1970s to current light-emitting diode (LED-LCU) systems and dental lasers (e.g., Er:YAG, Nd:YAG). The progressive increase in light intensity—now exceeding 3000 mW/cm²—has shortened curing times but simultaneously raised safety concerns. Major hazards include the so-called blue-light hazard, where exposure to high-energy visible (HEV) blue light may accelerate macular degeneration, and temperature elevations in the pulp chamber, which may damage the dentin–pulp complex. Laser radiation also exerts significant microbiological effects: Er:YAG and diode lasers demonstrate bactericidal activity against biofilms and oral pathogens (e.g., P. gingivalis), although therapeutic outcomes depend on wavelength, dose, and exposure time. Suboptimal parameters may lead to microbiome disturbances, whereas low-level laser therapy (LLLT; 600–1200 nm) supports tissue regeneration and helps restore microbial balance. The individualization of irradiation parameters, combined with thorough theoretical knowledge, operator expertise, and technical understanding of LCUs and lasers, is essential for maximizing clinical benefits while minimizing health risks and preserving oral microbiome homeostasis. Full article

Sexual cognitive schemas are central cognitive representations of sexual aspects of self that shape the interpretation of sexual experiences and may contribute to individual differences in sexual functioning. The present study aimed to validate the Questionnaire of Cognitive Schema Activation in Sexual Context (QCSASC) in a Hungarian sample and to examine whether sexual cognitive schemas mediate the relationship between personality traits and sexual functioning. A total of 256 university students (202 females) completed the QCSASC and the Zuckerman–Kuhlman–Aluja Personality Questionnaire. Moreover, the Female Sexual Function Index was administered. The factor structure was examined using exploratory and confirmatory factor analyses, and associations among personality, schemas, and sexual function were tested using correlational, regression, and mediation analyses. Results supported a five-factor structure of the Hungarian QCSASC, identifying Helplessness, Incompetence, Rejection, Unattractiveness, and Unlovability schemas, all showing good internal consistency. Sexual cognitive schemas were positively related to Neuroticism and negatively to Extraversion. Female sexual function was related to the Incompetence schema. Personality traits showed no direct link with female sexual functioning; however, through the sexual cognitive schema, there was a significant indirect link between personality (Extraversion, Neuroticism) and female sexual functioning. These findings suggest that sexual cognitive schemas can represent a pathway between personality traits and sexual functioning. Full article

As the foreign direct investment (FDI)-driven catch-up model of eight Central and Eastern European (CEE-8) economies approaches its limits, strengthening the export capacity of small and medium-sized enterprises (SME) may play an important role in sustaining economic convergence within the European Union (EU). Despite deep integration into EU production networks, domestic SME participation in international trade remains limited. In this context, digitalization is increasingly seen as a factor that may reduce information, coordination, and administrative barriers associated with SME cross-border trade. This study examines how different dimensions of digitalization relate to intra-EU export performance of SMEs in the CEE-8, conceptualizing digitalization across three distinct but interacting layers: firm-level digital adoption, societal digital usage, and the institutional digital environment. Using a balanced panel dataset covering 2018–2023, the analysis employs a one-way fixed-effects estimator with wild cluster bootstrap inference to address the small-cluster setting. Results indicate that societal digital usage and digital public services for businesses are strongly and positively associated with SME intra-EU export performance. Firm-level digitalization shows a more complex pattern: internal digital tools display delayed positive associations after a maturation period, while e-commerce participation is consistently negatively associated with aggregate export volumes. Robustness checks using Driscoll-Kraay standard errors and alternative functional forms confirm the stability of the core findings. The results suggest that strengthening digital foundations and reducing cross-border digital frictions can support more effective CEE-8 SME participation in the EU Single Market. Full article

This study investigates the determinants of borrower repayment intentions in Marketplace Lending (MPL) platforms, focusing on the interplay between behavioural factors and Environmental, Social, and Governance (ESG) awareness in the Hungarian context. A Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was employed to analyze survey responses from 477 participants familiar with MPL platforms. The study integrates constructs from behavioural finance (Perceived Usefulness, Perceived Ease of Borrowing, Theory of Planned Behaviour) and ESG-related factors (Socially Responsible Investment Theory, Reciprocity Theory) to assess their influence on repayment intentions. Perceived Usefulness (PU) emerged as the strongest predictor of Repayment Intention (RI) (β = 0.554, p < 0.001), highlighting the importance of platform functionality. Socially Responsible Investment Theory (SRIT) also had a significant positive impact (β = 0.194, p < 0.01), suggesting that ethical lending practices enhance borrower accountability through reciprocity mechanisms. Conversely, Continuance Intention to Borrow (CIB) and Credit Risk Theory (CRT) showed no significant effects. This study contributes to the literature by bridging behavioural finance, credit risk theory, and ESG principles in FinTech lending, offering a novel framework for sustainable lending practices. Full article

Objective: CAD-CAM technology enables biomimetic dentistry by producing highly accurate, minimally invasive restorations that replicate the biomechanical behavior of intact teeth. This study evaluated the fracture resistance of overlays with margins at different supragingival levels, including a flat occlusal design and compared them with conventional full crowns. All restorations were fabricated from chairside CAD/CAM resin-matrix ceramic for maxillary premolars. Methods and Materials: Sixty-four CAD/CAM resin-matrix ceramic restorations were fabricated and randomly assigned to four groups (n = 16): (1) overlay with a margin 2 mm above the gingiva (Ov2m); (2) overlay with a 4 mm supragingival margin (Ov4m); (3) overlay with a 4 mm margin and flat occlusal surface (OvF4m); and (4) full-coverage crown with a gingival-level margin (FCC). Preparations were standardized by one operator. Restorations were adhesively cemented to resin dies, thermocycled 10,000 times (5–55 °C), and loaded to failure in a universal testing machine (1 mm/min). Data were analyzed using one-way ANOVA and post hoc tests (α = 0.001). Results: Among overlays, Ov2m showed the highest fracture resistance (1605 ± 88 N), followed by Ov4m (1403 ± 63 N). OvF4m recorded the lowest value (1257 ± 73 N). FCC exhibited the greatest overall resistance (1838 ± 106 N), significantly higher than that of any overlay group. Conclusions: Overlays with margins 2 mm above the gingiva had higher fracture resistance than those with more coronal margins or flat occlusal designs. Full-coverage crowns showed the greatest strength, highlighting the impact of margin position and preparation design on restoration performance. Full article

Reproducible morphological profiling, particularly for drug discovery, has become an important tool for compound evaluation. Established workflows such as CellProfiler provide a widely adopted foundation for Cell Painting analysis. However, conventional pipelines often require substantial manual configuration and technical expertise, which can limit scalability and accessibility. In this study, a fully automated deep learning-based workflow is presented for segmentation-driven morphological profiling from raw microscopy data. Using a curated subset of the JUMP Cell Painting pilot dataset, ground-truth masks were generated and used to train a U-net–based segmentation model in the IKOSA platform. Post-processing strategies were introduced to improve instance separation and reduce segmentation artifacts. The final model achieved strong segmentation performance (precision/recall/AP up to 0.98/0.94/0.92 for nuclei), with an average runtime of 2.2 s per 1080 × 1080 image. Segmentation outputs enabled large-scale feature extraction, yielding 3664 morphological descriptors that showed high correlation with CellProfiler-derived measurements (normalized MAE: 0.0298). Feature prioritization further reduced redundancy to 1145 informative descriptors. These results demonstrate that automated deep learning pipelines can complement established Cell Painting workflows by reducing configuration overhead while maintaining compatibility with validated morphological profiling standards. The proposed workflow may help improve resource efficiency in drug discovery and personalized medicine. Full article

Arbuscular mycorrhizal fungi (AMF) are widely applied as bioinoculants to enhance crop performance, yet their broader ecological effects on rhizosphere microbial assembly under field conditions remain insufficiently understood. Here, we evaluated the impact of a commercial AMF inoculant and its carrier material on lettuce performance and rhizosphere microbial communities in an open-field experiment. We hypothesized that both viable AMF propagules and formulation components contribute to shifts in rhizosphere processes. Active AMF inoculation significantly increased root colonization and fresh biomass at harvest, confirming successful establishment and enhanced plant performance under field conditions. Colonization levels in the heat-inactivated carrier treatment were comparable to the non-inoculated control, indicating that the carrier did not inhibit indigenous AMF activity or induce nutrient-mediated suppression of symbiosis. Plant physiological responses were stage-dependent, supporting the context-dependent nature of AMF effects in dynamic field environments. High-throughput sequencing revealed no significant treatment effects on bacterial or fungal alpha diversity. However, beta-diversity analyses demonstrated significant compositional restructuring of rhizosphere communities, particularly within the bacterial domain. A stable core microbiome persisted across treatments, yet relative abundances and community evenness were altered by both active inoculation and carrier application. These results suggest that AMF inoculation reorganizes microbial community structure predominantly via shifts in ecological niche occupation. Collectively, our results show that AMF inoculation functions not only as a symbiotic nutrient-acquisition strategy but also as a driver of rhizosphere microbial reorganization under field conditions. Integrating plant performance with microbiome dynamics provides a more comprehensive framework for understanding and optimizing microbial inoculants in sustainable agricultural systems. Full article

Windage power losses (WPLs) can take a noticeable toll on the efficiency of high-speed gear transmissions, especially in helical gears, where complex 3D airflow patterns increase aerodynamic drag. In this work, we measured the WPL of a helical gear using a combination of analytical models, experiments, and CFD simulations. A custom test rig recorded windage losses at four speeds—2000, 3000, 4000, and 5000 rpm—producing values between 1.33 W and 21.67 W. We then compared these results with predictions from commonly used analytical methods (Dawson, Lord, ISO/TR 13593, ANSI/AGMA 6011-I03). These models showed discrepancies of about 25–35%, largely because they were not developed with helical gear geometries in mind. To complement this, CFD simulations carried out in SolidWorks Flow Simulation closely matched the experimental data, with an average deviation of just 4.99%. The combined results highlight the dominant mechanisms contributing to windage losses, assess the accuracy and limitations of each method, and identify the operating regimes where discrepancies are most pronounced. The findings offer a validated framework for predicting windage losses in industrial helical gears and support the development of more efficient gearbox designs. Full article

The increasing global movement of plant material and the complexity of viral communities associated with cultivated crops complicate routine plant virus diagnostics. High-throughput sequencing (HTS) has therefore become an important tool for the comprehensive characterization of plant viromes. In this study, symptomatic pepper (Capsicum annuum) samples submitted to our laboratory between 2020 and 2025 were investigated using HTS following unsuccessful routine diagnostic assays, despite the presence of virus-like symptoms. Virome analysis revealed the presence of multiple viruses with distinct biological characteristics. Eggplant mottled dwarf virus (EMDV) sequences were identified, representing, to our knowledge, the first sequence data from Hungary. In addition, sequences related to tobacco vein clearing virus (TVCV) showed highest similarity to endogenous viral element present in Capsicum annuum genome assemblies. Persistent viruses, including bell pepper alphaendornavirus (BPEV) and pepper cryptic virus 2 (PCV2), were also detected. These findings demonstrate the complex viral communities associated with cultivated pepper and highlight the limitations of strictly targeted diagnostic approaches. The results emphasize the value of HTS for comprehensive virome characterization in horticultural crops. Full article

One of the most famous and frequently analysed descriptions in literary and art history is undoubtedly Dostoevsky’s ekphrasis of Holbein’s painting The Dead Christ in the Tomb in his novel The Idiot (Part III. Chapter 6). The painting itself sparked a series of theological and aesthetic controversies with its unusual, non-canonical iconography depicting of the Passion of Christ. Most art historical analyses do not ignore the ekphrasis of that picture in The Idiot. In this study, we proceed from the premise that the “reading of the painting” leads to different results from the point of view of three main characters of the novel: Rogozhin, Myshkin, and Ippolit. Our goal is to prove that ekphrasis is an inseparable part of a speech act—not an objective description, but intentional speech. Therefore, it cannot be interpreted without understanding the speaker’s intention or the character’s situation. This explains the strong distortions and misreading in the ekphrasis. We can capture the meaning reconstructed in the character’s speech through the motifs of copy, epigonism, duplication and misquotation. Ippolit, the subiectum of ekphrasis, proves to be a truly “bad reader,” and his reading becomes devastating in the world of the novel insofar as it anticipates the destruction expressed in the motifs of the Apocalypse. In addition, we also reveal that there is a hidden intention behind Ippolit’s reading, which we can grasp by examining the signs in the text (metaphorical meaning). The most important motifs of ekphrasis (e.g., nature, the number six, actuality, darkness–light) weave through the entire text of the novel and are incorporated into the process of text production and meaning creation. Full article