Search Results (1,965)

Animal welfare in farmed animals is increasingly being identified as an integral part of ethical meat production; yet in most developing nations, including Ghana, little attention is being paid to this area of interest. The demand for chicken meat and egg products in Ghana has also increased because of rapid urbanisation and development; hence, public perception of poultry welfare is paramount in policy formulation and development in Ghana. This study investigates public perception of poultry welfare in Ghana, particularly laying hen farming. The study used a cross-sectional study and surveyed 1275 respondents aged 17 and older in Accra, Kumasi, and Tamale by collecting data in-person, and the questionnaire was administered using tablets or mobile devices. The study found that 69.1% of respondents poorly perceived farmed animal welfare, while 30.9% positively perceived farmed animal welfare in Ghana. There was a significant difference in perception levels among respondents in Accra and Kumasi, and those in Tamale, where respondents in Tamale indicated a slightly positive perception compared to those in Accra and Kumasi. Furthermore, 53.7% of respondents supported state intervention in farmed animal welfare, while 52.0% showed reluctance to pay a premium price for cage-free and free-range egg production in Ghana. Full article

This study investigated consumer expectations and perceived quality of strawberries across different geographical contexts to identify the main drivers of purchasing behavior within a cross-country framework. An online survey was conducted among consumers in Italy, Germany, and Turkey to explore consumption habits, purchasing channels, sensory expectations, product perceptions, and willingness to pay (WTP) for specific product attributes. Results confirmed a high level of consumer appreciation for strawberries across all countries, primarily driven by their sensory characteristics. However, purchasing behavior and consumption patterns were strongly influenced by cultural and market-related factors. Visual attributes were confirmed to be key cues guiding product choice; however, label indications related to sensory traits and functional properties exerted a greater influence. Flavor, firmness, and overall taste balance represented critical determinants of consumer satisfaction. Differences across demographic groups were also observed, with younger and male consumers reporting lower levels of satisfaction with key sensory attributes, including juiciness, aroma, and freshness. Cross-country comparisons revealed heterogeneous WTP patterns, with Turkish consumers showing a greater propensity to pay premium prices for quality-related, local, organic, and environmentally friendly attributes compared with German and Italian consumers. Overall, the findings highlight the combined influence of sensory quality, cultural context, and sociodemographic characteristics in shaping strawberry perception and purchasing behavior. These insights may support breeders, producers, and retailers in developing targeted product strategies and market positioning across different geographical areas and consumer segments. Full article

Endovascular aneurysm repair (EVAR) is a widely used minimally invasive treatment for abdominal aortic aneurysms. However, postoperative type II endoleak (T2EL) remains a relevant complication associated with a risk of aneurysm rupture and the need for repeated imaging follow-up, resulting in exposure to ionizing radiation. Identification of biological factors predisposing to T2EL may improve risk stratification. This pilot study aimed to investigate whether disturbances in hemostasis are associated with early T2EL development after EVAR. A total of 103 patients treated with EVAR for symptomatic or asymptomatic abdominal aortic aneurysms in a tertiary vascular center were prospectively enrolled. Blood samples were collected preoperatively and one month postoperatively to assess fibrinogen, prothrombin fragment F1+2 (F1+2), thrombin–antithrombin complex (TAT), tissue plasminogen activator antigen (tPA), plasminogen activator inhibitor-1 (PAI-1) activity, and platelet activity. Computed tomography angiography (CTA) during follow-up was used to detect endoleaks and calculate their volume. Patients with T2EL had significantly lower levels of prothrombin fragment F1+2 and higher PAI-1 activity compared with patients without endoleak. No significant association was observed between the analyzed biomarkers and endoleak volume. These findings suggest that reduced thrombin generation and impaired fibrinolysis may contribute to endoleak formation after EVAR and warrant further investigation in larger, confirmatory studies. Full article

Financial fraud and money laundering continue to challenge financial stability and regulatory oversight, motivating the widespread adoption of machine learning models for transaction monitoring. Although ensemble models such as Random Forest and XGBoost achieve strong predictive performance, their deployment in high-stakes financial environments is constrained by limited interpretability, overconfident predictions, and the absence of principled mechanisms for expressing decision uncertainty. Emerging regulatory expectations increasingly emphasise transparency, accountability, and operational reliability, underscoring the need for evaluation frameworks that extend beyond predictive accuracy. This study proposes the Integrated Transparency and Confidence Framework (ITCF), a deployment-oriented approach that unifies model explainability, statistically valid uncertainty quantification, and operational decision support for fraud detection. ITCF combines instance-level explanations generated via Local Interpretable Model-Agnostic Explanations (LIME) with distribution-free uncertainty estimation using split conformal prediction. The framework incorporates selective explainability, abstention-based routing, and uncertainty-driven triage to support human-in-the-loop review. Using the PaySim dataset of 6,362,620 mobile-money transactions, Random Forest and XGBoost models are evaluated under extreme class imbalance using F1-score, AUC–ROC, and Matthews Correlation Coefficient (MCC). At a target coverage level of 90% ($\alpha =0.1$), both models achieve empirical coverage close to the target level, with XGBoost producing smaller prediction sets and superior recall, MCC, and latency. ITCF provides transaction-level explanations for uncertain cases and specifies an auditable workflow that is intended to support transparency, traceability, and risk-aware human review, thereby enabling defensible human decision-making in regulated environments. Overall, this study illustrates how explainability and uncertainty quantification can be combined in a deployment-oriented evaluation workflow while noting that real-world validation remains a future endeavour. Full article

Better understanding the controlling factors of shale oil quality including density and viscosity plays a key role in exploring these unconventional pay zones efficiently and profitably. The shale oil extracted from the middle Permian Lucaogou Formation (P₂l) of Santanghu Basin becomes denser and more viscous from the Tiaohu Sag to Malang Sag. It has been proven that oil quality is negatively correlated with saturated hydrocarbon content and positively correlated with aromatic/resin content. However, the underlying controls at the molecular levels are not yet clear. In order to reveal the fundamental controls, shale oil samples with varying density and viscosity were collected from these two sags, and molecular compositions of these samples were analyzed by using gas chromatography–mass spectrometry (GC–MS) for the saturated and aromatic hydrocarbons and electrospray ionization (ESI) Fourier transform ion cyclotron resonance mass spectrometry (FT–ICR MS) for heteroatom hydrocarbons in resin fraction. Thereafter, correlation analysis was performed between oil density and viscosity and geochemical parameters associated with saturated, aromatic and NSO-containing compounds. The experimental results indicate that the oil thermal maturity levels play a major role, since both density and viscosity present significant negative correlations (correlation coefficient > 0.5) with the maturity parameters of n-alkanes, terpanes, steranes and triaromatic steranes. Organic facies also play a partial role as indicated by the significant positive correlations between density and viscosity and the parameters of tricyclic terpanes, dibenzothiophene/phenanthrene, and methylated phenanthrenes. In resin fraction, density presents better correlations with acid compounds, including O_x (x = 5–9), N₁O_x (x = 0–2) and N₂O₃ species, and viscosity shows better correlations with basic N-containing compounds (N₁O₁, N₁O₃, and N₂O₁ species) and S-containing compounds (N₁S₁ and O₁S₁ species). This indicates that the cross-linking by acid oxygen-containing compounds and the intramolecular and intermolecular forces induced by basic N-containing compounds and sulfur-containing compounds play an important role in directing the P₂l shale oil quality. Moreover, the ratios of specific species with low-to-high double bond equivalents (DBEs) and the homologues with low molecular weight to high molecular weight both present significant negative correlations with density and saturated and aromatic maturity parameters. This highlights the effects of bond cleavage, cyclization and aromatization reactions with elevated thermal maturity in enhancing oil quality in the targeted pay zones. Most P₂l shale oil sources were deposited under the reducing lacustrine setting, containing mainly Type I/II kerogens. Shale oils from Tiaohu Sag are more matured than those from Malang Sag, which is supposed to be responsible for the better oil quality in Tiaohu Sag. This study provides the supporting evidence for regulating shale oil quality in the Santanghu Basin at the molecular levels, and should be helpful in identifying the sweet spots of shale oil plays in this area. Full article

In the oral environment, silicone (polysiloxane) supports healing by creating low-permeability interfaces that limit microleakage, whereas silicon/silica systems support healing via hydroxyapatite nucleation. We synthesized human evidence on intraoral healing associated with silicone and silicon/silica-based materials and assessed translational differences between preclinical models and clinical settings. A systematic review (1990-September 2025) identified 14 clinical studies of bioactive glass (BAG) that met the inclusion criteria. Periodontal outcomes included probing depth (PD), clinical attachment level (CAL), and radiographic fill; endodontic outcomes included the periapical index (PAI). Human BAG studies showed periodontal benefits versus controls in intrabony defects, with reduced PD, improved CAL, and greater radiographic fill. For endodontic healing, a multicenter randomized clinical trial reported improved PAI at 12 months in both the zinc-oxide-eugenol and silicone-sealer groups without a significant between-group difference. The literature supports a functional split: silicone primarily provides sealing and permissive healing, whereas silicon/silica-based materials support signaling, interfacial bonding, and regenerative healing. Clinically, BAG appears most relevant for contained periodontal intrabony defects, whereas silicone sealers should be viewed primarily as stable sealing adjuncts to well-executed root canal therapy. Full article

This study examines how European Union Member States address cyberbullying affecting children through legal and policy frameworks, paying particular attention to children’s rights. It employs a qualitative, document-based comparative methodology, applying a harmonized codebook to analyze definitional, legal, preventive, and reactive responses across all 27 EU Member States. The analytical framework is grounded in the EU Charter of Fundamental Rights, the EU Strategy on the Rights of the Child, the Better Internet for Kids (BIK+) initiative, and the Digital Services Act, which serve as normative benchmarks. Coding draws on EU-level harmonized sources, including Joint Research Centre outputs and the 2025 BIK policy reports, and aggregates the findings into a composite structural indicator capturing the formal regulatory and policy coverage of cyberbullying from a child rights perspective. The results indicate a high level of formal regulatory attention in most Member States, particularly regarding criminal law protection, educational prevention, and institutional reporting mechanisms. However, child-specific and child-friendly elements—such as explicit cyberbullying definitions, adapted reporting procedures, and tailored civil law remedies—remain uneven and limited. The study concludes that, despite comprehensive formal regulation, significant gaps persist in the integration of child-centered and access-to-justice-oriented mechanisms, underscoring the need for strengthened child rights approaches and further research on implementation and children’s lived experiences. Full article

Background: Among gynecological malignancies, ovarian cancer (OC) remains a leading cause of mortality worldwide, often characterized by the highest fatality-to-case ratio due to its asymptomatic progression and late-stage detection. Despite substantial investigation, the root cause of disease development and pathology remains unknown. Early detection is critical for improving OC prognosis. Unfortunately, because of the lack of identifiable symptoms in the early stages, the disease is frequently detected late. As a result, regular check-ups, being aware of risk factors, and paying attention to unusual symptoms can all help discover OC early. Apolipoproteins (APOs) and Annexins (ANXs) have recently been linked to OC. Aim: We conducted a cutting-edge bioinformatics investigation to find novel therapeutic targets and precise biomarkers linked to OC against APO and ANX. Methods: We started by compiling the ANX and APO families via HUGO Gene Nomenclature Committee (HGNC) homepage. Next, we accessed GEPIA2 to compare the relative messenger RNA (mRNA) expression levels of all ANX and APO family members across the cancer genome atlas (TCGA)-OC cohort and matched normal and GTEx data. Prognostic analysis of all significantly expressed ANXs and APOs was performed via Kaplan–Meier (KM) plotter. cBioPortal was used for mutational analysis of prognostic ANXs and APOs. Finally, we ran functional enrichment, molecular docking, and molecular dynamics (MD) simulation analyses. Results: Overall, the results suggest that ANXA2 and its related genetic changes represent potential focal points for precision oncology, offering a computational rationale for the development of target-driven therapeutic interventions in OC. Conclusions: Molecular docking and MD simulation analyses identified curcumin as a potential inhibitor of ANXA2, demonstrating stable binding affinity and structural conservation throughout the simulation period. These computational findings characterize curcumin as a promising candidate for targeting ANXA2 in OC, warranting further experimental validation to confirm its therapeutic efficacy. Full article

Education occupies an important place among the 17 Sustainable Development Goals. It plays a role in the process of spreading awareness of the concept—its directions, meaning, and goals. According to the idea of the SDG, it is to be universally available to the world’s communities, with the aim of bridging social inequalities, as well as increasing the capacity for responsible functioning and development. The authors of this study believe that knowledge about sustainable development is crucial for shaping social attitudes that determine the uninterrupted development of the world’s economies towards sustainability. In their opinion, it is essential to pay particular attention to ensuring sustainable competences in the education process, which is aimed at preparing staff to perform professional roles in the socio-economic sphere and to be competent in the field of sustainable development. Hence, the aim of this study is to examine the level of awareness of students from selected higher education schools in Poland in this area. The study was conducted on the basis of a diagnostic survey, and the analysis of the results was carried out using qualitative methods, as well as quantitative methods in an in-depth study (logistic regression, supported by PQStat software version 1.8.4.164. The research results indicated that the surveyed students’ knowledge of sustainable development is good, as confirmed by 91% of responses. A key factor in strengthening this knowledge is the educational process implemented as part of their studies (64% of responses). Events supporting the teaching process, such as conferences or meetings with experts, are particularly important for shaping this knowledge. This indicates a high level of student motivation to explore this knowledge and apply it to a model of social behavior, which is rated as responsible by 94% of respondents. In-depth research confirms the above. The odds ratio of 12.994 with a confidence interval of −95% CI: 1.894–+95% CI: 3.238 for the factor of scientific events in the process of supporting green education demonstrates the significance of the findings. Strengthening green education with thematic scientific events is, therefore, an attractive and anticipated form of gaining knowledge on the SDGs by students, and undertaking these events is a recommendation resulting from the presented research. These results are important for modeling sustainable education in terms of the development potential of human resources. Full article

The proliferation of Internet of Things (IoT) devices has intensified the need for efficient real-time anomaly and intrusion detection, making the selection of an appropriate Complex Event Processing (CEP) engine a critical architectural decision for security-aware data pipelines. Python-based CEP frameworks offer compelling advantages through the seamless integration with data science and machine learning ecosystems; however, rigorous comparative evaluations of such frameworks under realistic IoT security workloads remain absent from the literature. This study presents the first systematic comparative evaluation of Faust and Streamz—two Python-native CEP engines representing fundamentally different architectural philosophies—specifically in the context of IoT network intrusion detection. Faust was selected for its actor-based stateful processing model with native Kafka integration and distributed table support, while Streamz was selected for its reactive, lightweight pipeline design targeting high-throughput stateless processing, making them representative of the two dominant paradigms in Python stream processing. Although both engines target different application niches, their performance characteristics under realistic CEP workloads have never been rigorously compared, leaving practitioners without empirical guidance. The primary evaluation employs an IoT network intrusion dataset comprising 583,485 events from 83 heterogeneous devices. To assess whether the observed performance characteristics are specific to this single dataset or generalize across different workload profiles, a secondary IoT-adjacent benchmark is included: the PaySim financial transaction dataset (6.4 million records), selected because its event schema, fraud-pattern temporal structure, and volume differ substantially from the intrusion dataset, providing a stress test for cross-workload robustness rather than a claim of domain equivalence. We acknowledge the reviewer’s valid point that a second IoT-specific intrusion dataset (such as TON_IoT or Bot-IoT) would constitute a more directly comparable validation; this is identified as a priority for future work. The load levels used in scalability experiments (up to 5000 events per second) intentionally exceed the dataset’s natural rate to stress-test each engine’s architectural ceiling and identify saturation thresholds relevant to large-scale or multi-sensor IoT deployments. We conducted controlled experiments with comprehensive statistical analysis. Our results demonstrate that Streamz achieves superior throughput at 4450 events per second with 89% efficiency and minimal resource consumption (40 MB memory, 12 ms median latency), while Faust provides robust intrusion pattern detection with 93–98% accuracy and stable, predictable resource utilization (1.4% CPU standard deviation). A multi-framework comparison including Apache Kafka Streams and offline scikit-learn baselines confirms that Faust achieves detection quality competitive with JVM-based alternatives (Faust: 96.2%; Kafka Streams: 96.8%; absolute difference of 0.6 percentage points, not statistically significant at $p=0.318$) while retaining the Python ecosystem advantages. Statistical analysis confirms significant performance differences across all metrics ($p<0.001$, Cohen’s $d>0.8$). Critical scalability thresholds are identified: Streamz maintains efficiency above 95% up to 3500 events per second, while Faust degrades beyond 2500 events per second. These findings provide IoT security engineers and system architects with actionable, empirically grounded guidance for CEP engine selection, establish reproducible benchmarking methodology applicable to future Python-based stream processing evaluations, and advance theoretical understanding of the accuracy–throughput trade-off in stateful versus stateless Python CEP architectures. Full article

Rapid housing expansion exacerbates the urban heat island (UHI) effect, yet the influence of household-level awareness on sustainable housing decisions remains underexplored, particularly in tropical contexts. This study integrates the Theory of Planned Behavior (TPB) into a moderated-mediation model to examine how UHI awareness shapes the relationships among attitude, subjective norms, perceived behavioral control, socioeconomic factors, purchase intention, and willingness to pay (WTP) for heat-mitigating housing. Survey data from 441 homebuyers in Bandung City, Indonesia, were analyzed using partial least squares structural equation modeling (SEM). Results reveal that awareness fundamentally alters decision pathways: without awareness, subjective norms (β = 0.066, p-value = 0.007) and perceived behavioral control (β = 0.050, p-value = 0.005) significantly influence WTP via purchase intention; with high awareness, attitude becomes the sole significant predictor (β = 0.109, p-value = 0.035), while the effects of social pressure (β = −0.015, p-value = 0.130) and perceived control (β = −0.005, p-value = 0.376) diminish. The model explains 50.1% of the variance in purchase intention (R² = 0.501) but only 14.7% of the variance in WTP (R² = 0.147), reflecting the low-price premiums respondents are willing to pay (0–5%). These findings highlight that climate-specific awareness acts as a cognitive filter, guiding pro-environmental housing choices, and underscore the importance of awareness-driven interventions for promoting sustainable urban development in tropical cities. Full article

The SERPINE1 gene encodes the serine protease inhibitor plasminogen activator inhibitor type-1 (PAI-1), a major negative regulator of the plasmin-dependent pericellular proteolytic cascade and a crucial determinant in the program of stromal remodeling. Recent omics approaches confirmed that high tumor SERPINE1 levels are prognostic for poor disease outcomes and shorter disease-free survival in various malignancies. Kinetic analysis of biomarkers of cell cycle transit in growth-synchronized p53 dual mutant human keratinocytes confirmed that PAI-1 transcription occurred early after growth activation of quiescent (G₀) cells and prior to G1 entry. Previous evidence has confirmed that differential residence of USF family members (USF1→USF2 switch) at the PE2 region hexanucleotide E box motif (CACGTG) in the SERPINE1 proximal promoter characterizes the G₀→G₁ transition period and the transcriptional status of the SERPINE1 gene. A consensus PE2 E box motif (5′-CACGTG-3′) at nucleotides −566 to −561 is required for USF occupancy of the PE2 E box and serum-stimulated SERPINE1 transcription. Interference with USF2 occupancy of the PE2 E Box site by a double-stranded PE2 “decoy”, or induced expression of a dominant-negative USF (A-USF) construct, attenuate serum- and TGF-β1-stimulated SERPINE1 synthesis. Tet-Off activation of an A-USF insert reduced both PAI-1 and PAI-2 transcripts while increasing the fraction of proliferating (Ki-67⁺ cells). Conversely, overexpression of USF2 or adenoviral delivery of a PAI-1 vector inhibited HaCaT colony expansion. These findings are discussed in this review and collectively suggest that the USF1→USF2 transition at the PE2 E box site and subsequent SERPINE1 transcription impact serum-stimulated keratinocyte growth and, likely, cell cycle progression. Full article

The rapid development of artificial intelligence (AI) has intensified debates regarding its impact on the labor market, specifically concerning the potential for replacement versus the augmentation of human labor. While the existing literature highlights both the opportunities and risks associated with AI, research conducted by faculty in academic settings focuses predominantly on academic integrity, paying limited attention to AI readiness and/or anxiety related to labor market entry. This study aims to compare the perceptions of students and faculty in Romania regarding the impact of AI on employment, exploring the role of personal and organizational readiness in shaping these attitudes. The research is based on an empirical approach utilizing a questionnaire applied to a sample of 271 respondents, consisting of 197 students and 74 faculty members. Data analysis included descriptive and inferential methods, such as Chi-square tests and binary logistic regression, and was theoretically grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT) and Social Cognitive Theory (SCT). The results indicate significant differences between students and faculty regarding general attitudes toward AI, with students manifesting higher levels of concern regarding job replacement. However, both groups converge in their functional definition of AI as a major factor in labor transformation, suggesting an evaluative rather than a cognitive difference. Multivariate analyses show that personal readiness and the perception of organizational readiness are the primary predictors of a positive attitude toward AI, while demographic variables lose statistical significance when these dimensions are controlled. This study contributes to the literature by highlighting that AI-related anxiety is not inherently determined by demographic characteristics but represents a malleable state shaped by individual competencies and institutional conditions. The findings underscore the strategic role of universities in reducing perceptions of replacement and facilitating the transition to an AI-augmented labor market through training policies, adequate infrastructure, and transparent institutional communication. Full article

Reservation prices determine which goods consumers are willing to buy and, therefore, shape demand curves in markets. Neoclassical economics postulates that reservation prices optimally reflect the marginal utility provided by a good given all other possible uses of the consumer’s budget, as well as a rational response to the information environment. In contrast, behavioral economics suggests that reservation prices are influenced by extraneous factors and are, thus, less stable and more difficult to predict. In this article, I propose a behavioral model of how the reservation price changes during sequential price searches. The model assumes bounded rationality, is rooted in the psychological theory of aspiration levels, and posits that the reservation price adjusts towards the lowest price known. A corollary is that when higher prices are charged in a market, consumers become willing to pay more in the short term. Results from an online laboratory experiment with more than 400 participants from the general population suggest that the model performs well in explaining the dynamics of the reservation price during a search spell. While the results imply that reservation prices are malleable, competition can protect consumers from sellers exploiting their adaptiveness. Full article

Integrating sustainability into luxury products poses fundamental challenges when brands introduce alternative materials made from recycled content that lack the intrinsic value of precious metals. This study investigates consumer perceptions and willingness to pay more for luxury jewelry made from alternative recycled materials among 357 consumers in the Bangkok Metropolitan Region. The conceptual framework examined five value dimensions (self-expression value, aesthetic value, social value, perceived natural rarity, and perceived sustainability) with pro-environmental self-identity as a moderating variable. The model explains 59.2% of the variance in willingness to pay more. Results confirm significant effects of all five dimensions, with aesthetic value as the strongest predictor. Pro-environmental self-identity significantly moderates the relationship between perceived sustainability and willingness to pay more. Despite high levels of sustainability awareness, the results reveal an attitude–behavior gap: environmental concern does not automatically translate into greater spending on sustainable luxury jewelry. This research contributes to the literature on sustainable luxury consumption by clarifying the relative importance of value dimensions and highlighting the conditional role of consumer identity in shaping the acceptance of price premiums. Full article