Search Results (79)

Professional education increasingly requires graduates to make decisions in complex systems marked by multiple stakeholders, feedback, delays, uncertainty, and unintended consequences, yet systems thinking is still often taught as a set of disconnected tools rather than as an integrated professional practice. This conceptual paper adopts an integrative theory-building approach to develop a unified architecture for systems thinking in professional education, drawing purposively on systems traditions, practice-based learning, assessment scholarship, and emerging work on generative artificial intelligence (GenAI). The paper proposes four iterative practices (sensemaking and boundary setting, co-modelling and causal representation, intervention reasoning, and meta-learning) as the core architecture for learning systems thinking in professional contexts. It further translates this architecture into indicative implications for curriculum sequencing, authentic tasks, and assessment, while positioning GenAI as a cross-cutting support/risk layer that can assist iteration and critique but also introduce predictable risks such as fabricated causal links, overreliance, and false mastery. To address these risks, the paper outlines governance conditions based on traceability, uncertainty checks, stakeholder validation, and process-based assessment. Overall, the framework provides a design-oriented basis for teaching, assessing, and governing systems thinking in contemporary professional education and a foundation for future empirical testing. Full article

Conservation easements (CEs) represent a complex policy instrument designed to mediate the feedback loops within coupled human and natural systems in protected areas. However, their efficacy is often constrained by a lack of systemic understanding of the localized drivers of community support. Building upon the successful implementation of Forest Land Easements (FLEs) within China’s Qianjiangyuan National Park Pilot, this study investigates the potential to expand this policy model to other land types. This study investigates the multilevel factors influencing residents’ willingness to adopt three types of CEs, including forest land (FLE), agricultural land (ALE) and homestead land (HLE) easements in China’s Qianjiangyuan National Park Pilot, the country’s primary CE reform site. We conceptualize a hierarchical support model wherein community participation (CP) and human well-being (HW) interact with support for park management (SM), forming a subsystem that drives decisions within the broader land-use. Utilizing structural equation modelling (SEM) and stepwise regression analysis on survey data from 336 households, we tested this model. The results reveal that SM acts as a critical direct mediator and positive driver of CE acceptance, while CP and HW exert significant indirect effects through SM, demonstrating a key feedback pathway. Regression analyses further elucidate that support for different CE types is driven by distinct configurations of factors, highlighting the heterogeneous nature of subsystems. Notably, livelihood benefits and prior participation experiences emerged as consistent, cross-cutting systemic leverages. It demonstrates that leveraging the implementation experience and community support gained from existing forest land easements is crucial. This study concludes that effective CE design must move beyond one-size-fits-all approaches. It necessitates differentiated, adaptive policies that are coherently aligned with local livelihood subsystems and strategically strengthen participatory feedback mechanisms initiated by successful FLEs. Our findings provide an evidence-based framework for designing resilient, socially sustainable conservation policies in complex protected area systems, grounded in proven practice. Full article

This study benchmarks renewable energy source (RES) utilization in the Visegrad Four (V4) against the EU average using Eurostat data for 2014–2022. A multi-layer framework was used to combine technology-specific per-capita indicators, sectoral RES shares, cluster analysis, and panel regression with fixed effects. The EU substantially exceeds V4 in hydropower (774.06 vs. 270.19 kWh/person), wind (972.06 vs. 161.30 kWh/person), and solar technologies. The electricity-sector gap is most pronounced (EU 41.17% vs. V4 18.69%). Paired t-tests confirmed a statistically significant persistent gap (t(8) = −20.78; p < 0.001), consistent with delayed convergence. Cluster analysis assigned all V4 countries to a single moderate-RES tier, structurally separated from Western and Nordic clusters; panel regression confirmed that the V4 coefficient was robustly negative (β = −5.783 to −9.088 pp) even after policy controls, with fossil lock-in (β = −2.404 pp) emerging as the most consistent structural determinant, whereas V4 × fossil lock-in interaction was positive (β = +2.558 pp), suggesting partial mitigation through differentiated pathways. Intra-V4 heterogeneity—Slovakia’s hydropower lock-in, Hungary’s wind prohibition, Poland’s coal dependency, and Czech Republic’s curtailed feed-in tariff—argues against homogeneous policy responses; results support technology-specific strategies (wind/solar PV in Poland/Czech Republic; solar thermal/heat pumps in Hungary/Slovakia) and grid modernisation as cross-cutting priority. Full article

The development of hybrid organic coatings for corrosion protection remains a key research priority. This study focuses on synthesising Layered Double Hydroxide (ZnGa-LDHs) intercalated with environmentally friendly disodium sebacate (SB) corrosion inhibitor, forming ZnGa-SB. To overcome the challenge of limited dispersibility in organic coatings, ZnGa-SB was combined with Graphene Nanoribbons (GNR), produced through the oxidative unzipping of multi-walled carbon nanotubes (MWCNT). The resulting composite, ZnGa-SB/GNR, was synthesised using an in situ hydrothermal method and incorporated into polyurethane (PU) enamel. The synergy between high-barrier GNRs and active ZnGa-SB creates a “labyrinth effect” that effectively inhibits the diffusion of corrosive species. Microstructural analysis, including XRD, FT-IR, Raman, TGA, FE-SEM, and EDS, confirmed the nanofiller structure. The nanofillers were embedded into acrylic resin (AC) for short-term anticorrosive testing in a 0.1 M NaCl solution and then into PU for long-term evaluation in a 3.5 wt% NaCl solution, using electrochemical impedance spectroscopy (EIS). The PU/ZnGa-SB/GNR coating exhibited a high impedance modulus of 5.90 × 10⁷ Ω cm² at |Z|_0.01 Hz, even after 2688 hours of immersion, indicating enhanced corrosion resistance. This coating demonstrated superior performance in cross-cut and pencil hardness tests and sustained less damage in salt spray analysis compared to other coatings. The synergistic effect offers a promising approach for developing next-generation hybrid anti-corrosive coatings. Full article

Federated learning (FL) has emerged as a paradigm-shifting approach for collaborative machine learning (ML) while preserving data privacy. However, existing FL frameworks face significant challenges in ensuring trustworthiness, regulatory compliance, and security across heterogeneous institutional environments. We introduce AspectFL, a novel aspect-oriented programming (AOP) framework that seamlessly integrates trust, compliance, and security concerns into FL systems through cross-cutting aspect weaving. Our framework implements four core aspects: FAIR (Findability, Accessibility, Interoperability, Reusability) compliance, security threat detection and mitigation, provenance tracking, and institutional policy enforcement. AspectFL employs a sophisticated aspect weaver that intercepts FL execution at critical joinpoints, enabling dynamic policy enforcement and real-time compliance monitoring without modifying core learning algorithms. We demonstrate AspectFL’s effectiveness through experiments on healthcare and financial datasets, including a detailed and reproducible evaluation on the real-world MIMIC-III dataset. Our results, reported with 95% confidence intervals and validated with appropriate statistical tests, show significant improvements in model performance, with a 4.52% and 0.90% increase in Area Under the Curve (AUC) for the healthcare and financial scenarios, respectively. Furthermore, we present a detailed ablation study, a comparative benchmark against existing FL frameworks, and an empirical scalability analysis, demonstrating the practical viability of our approach. AspectFL achieves high FAIR compliance scores (0.762), robust security (0.798 security score), and consistent policy adherence (over 84%), establishing a new standard for trustworthy FL. Full article

The presented research delivers a comprehensive evaluation of anticorrosive cathodic electrodeposition (CED) coatings through an integrated performance and process capability analysis—an approach that remains extremely limited in the literature, particularly in the context of statistically designed experiments (DoEs) applied to CED systems. This study therefore addresses a notable gap by focusing on the role of polymerization variables in determining coating quality through DoE to quantify the influence on coating thickness uniformity, adhesion integrity and impact resistance, while all other deposition parameters were rigorously controlled. Prior to coating application, all specimens were prepared and conditioned in accordance with ISO 1513:2010. Coating thickness was determined in compliance with ISO 2808:2019, adhesion was characterized by cross-cut methodology according to ISO 2409:2020 and dynamic mechanical resistance was evaluated using a falling-weight apparatus in accordance with ISO 6272-1:2011. The obtained datasets were subjected to statistical capability analysis within the PalstatCAQ environment, providing Cp, Cpk, Pp and Ppk indices in line with ISO 22514-7:2021 and IATF 16949:2016 requirements. Results evidenced non-linear dependencies of thickness formation on curing parameters, with potential capability indices (Cp > 1.8; Pp ≈ 1.4) indicating favorable process dispersion, while performance indices (Cpk < 0.5; Ppk < 0.4) revealed systematic mean shifts and deviations from normality confirmed by Shapiro–Wilk and Anderson–Darling tests. Adhesion testing demonstrated a direct correlation between curing conditions and interfacial bonding, reaching ISO Grade 0 classification. Complementary impact resistance assessments corroborated these findings, showing that insufficient curing induced extensive cracking and delamination. Furthermore, SEM–EDX analysis performed on Sample n.3 of X₂ variable confirmed the chemical integrity and multilayered structure of the CED coating. Full article

Implant-associated infections (IAIs) remain a major cause of orthopedic implant failure, motivating the development of surface coatings that deliver durable antibacterial activity without compromising host compatibility. Here, we deposit silver (Ag) thin films onto commercially pure titanium (Ti) using high power impulse magnetron sputtering (HiPIMS) and assess their antibacterial performance and osteoblast cytocompatibility. Film formation, morphology and crystallinity were characterized by electron microscopy and X-ray diffractometry, while interfacial integrity was probed using ASTM D3359 cross-cut and VDI 3198 Rockwell-C indentation. Antibacterial activity against Escherichia coli and Staphylococcus aureus was quantified by culture-based enumeration, and Ag⁺ release was measured by ICP-MS. HiPIMS enabled rapid formation of dense, continuous and crystalline Ag films with excellent adhesion. Even ultrathin coatings (~7 nm) produced strong antibacterial effects (activity value > 2.0) while releasing controllable trace Ag⁺ (ultimately 0.43 ppb/day), and osteoblast assays indicated no cytotoxicity under the tested conditions. The results show that HiPIMS-Ag achieves a favorable balance between antimicrobial efficacy and biocompatibility at low thickness, supporting its use as a robust antibacterial surface for Ti implants and providing a foundation for translation to device level and in vivo studies. Full article

The enhanced mechanical durability of sprayed nanocellulose coatings at the macroscopic level is primarily required to promote their application in demanding industrial applications with frequently exposed surfaces. In this study, different coating configurations are designed by spraying aqueous cellulose nanofiber (CNF) suspensions in combination with boric acid (BA) as an internal crosslinker and polydopamine (PDA) as an adhesive interlayer onto glass substrates. Multilayer coatings (CNF/BA) or mixed-layer coatings (CNF + BA) with various concentrations of BA and numbers of sprayed layers are evaluated for maximized mechanical performance based on tape tests, rub tests, cross-cut tests, and scratching tests. Good adhesive strength was realized with an interlayer of PDA/BA (high-concentration BA = 10 mM). The highest cohesive strength was observed for a mixed CNF + BA coating (high-concentration BA = 10 mM) with a scratch resistance of 9 N, and a multilayer CNF/BA coating (gradient layers with ultra-high BA concentration = 100 mM) with a scratch resistance of 8 N. The coatings with the highest density did not uniquely introduce the best mechanical resistance when comparing CNF/BA and CNF + BA coatings, as the formation of BA crystals in multilayer coatings might negatively affect the mechanical properties through embrittlement. Alternatively, the mixed CNF + BA coatings with high BA concentrations provide high density and the best mechanical resistance. The favorable crosslinking corresponds to stabilized water contact angles and reduced spreading of the water as a function of time, while a decrease in coating density causes a reduction in transparency. The chemical interactions between CNF and BA are illustrated by infrared spectroscopy, confirming a reduction in free hydroxyl groups upon crosslinking. Full article

Artificial intelligence (AI) is rapidly redefining both computer science and cybersecurity by enabling more intelligent, scalable, and privacy-conscious systems. While most prior surveys treat these fields in isolation, this paper provides a unified review of 256 peer-reviewed publications to bridge that gap. We examine how emerging AI paradigms, such as explainable AI (XAI), AI-augmented software development, and federated learning, are shaping technological progress across both domains. In computer science, AI is increasingly embedded throughout the software development lifecycle to boost productivity, improve testing reliability, and automate decision making. In cybersecurity, AI drives advances in real-time threat detection and adaptive defense. Our synthesis highlights powerful cross-cutting findings, including shared challenges such as algorithmic bias, interpretability gaps, and high computational costs, as well as empirical evidence that AI-enabled defenses can reduce successful breaches by up to 30%. Explainability is identified as a cornerstone for trust and bias mitigation, while privacy-preserving techniques, including federated learning and local differential privacy, emerge as essential safeguards in decentralized environments such as the Internet of Things (IoT) and healthcare. Despite transformative progress, we emphasize persistent limitations in fairness, adversarial robustness, and the sustainability of large-scale model training. By integrating perspectives from two traditionally siloed disciplines, this review delivers a unified framework that not only maps current advances and limitations but also provides a foundation for building more resilient, ethical, and trustworthy AI systems. Full article

Protective coatings are essential for extending the service life of components exposed to harsh conditions, such as pipes used in industrial systems, where wear and corrosion remain constant challenges. This study explores the development of a nano-sized TiO₂-reinforced electroless nickel-based ternary (Ni-W-P) alloy and composite coating on API X60 steel, a high-strength carbon steel pipe grade widely used in oil and gas pipelines, using an alkaline hypophosphite-reduced bath. The surface morphology, microstructure, elemental composition, structure, phase evolution, adhesion, and roughness of the coatings were analyzed using optical microscopy, FESEM, EDS, XRD, AFM, cross-cut tape test, and 3D profilometry. The tribological performance was evaluated via Vickers microhardness measurements and reciprocating wear tests conducted under dry conditions at a 5 N load. The TiO₂ nanoparticle-reinforced composite coating achieved a consistent thickness of approximately 24 µm and exhibited enhanced microhardness and reduced coefficient of friction (COF), although the addition of nanoparticles increased surface roughness (S_a). Annealing the electroless composites at 400 °C led to a significant improvement in their tribological properties, primarily owing to the grain growth, phase transformation, and Ni₃P crystallization. XRD analysis revealed phase evolution from an amorphous state to crystalline Ni₃P upon annealing. Both the alloy and composite coatings exhibited excellent adhesion performances. The combined effect of TiO₂ nanoparticles, tungsten, and Ni₃P crystallization greatly improved the wear resistance, with abrasive and adhesive wear identified as the dominant mechanisms, making these coatings well suited for high-wear applications. Full article

Alkyd resins are among the most common coatings used for exterior wood joinery. In Romania, solvent-borne alkyd coatings are widely used to finish wood. The study aims to compare the performance after 7 years of outdoor exposure of two types of alkyd coatings, a semi-transparent brown stain with micronized pigments (Alk1) and an opaque white enamel (Alk2), applied directly on wood or wood pre-treated with three types of resins: acryl-polyurethane (R1), epoxy (R2), and alkyd-polyurethane (R3). Fir (Abies alba) wood served as the substrate. Cracking, coating adhesion, and biological degradation were periodically assessed through visual inspection and microscopy. Additionally, a cross-cut test was performed, and the loss of coating on the directly exposed upper faces was measured using ImageJ. The results indicated that resin pretreatments somewhat reduced cracking but negatively affected coating adhesion after long-term exposure. All samples pretreated with resins and coated with Alk1 lost more than 50% (up to 78%) of the original finishing film by the end of the test. In comparison, coated control samples lost less than 50%. The Alk2 coating exhibited a film loss between 2% and 12%, compared to an average loss of 9% for the coated control. Overall, samples pretreated with alkyd-polyurethane resin (R3) and coated with alkyd enamel (Alk2) demonstrated the best performance in terms of cracking, adhesion, and discoloration. Full article

Competency-based assessment in engineering education is becoming increasingly critical as the profession faces rapid technological advances and the growing need for cross-cutting competencies. This paper introduces SmartRubrics, an AI-based tool designed to support the automated generation of competency-based assessment rubrics. The development of this tool is based on a systematic literature mapping study conducted between 2019 and 2024, which identified key gaps, such as the limited integration of digital tools and the under-representation of transversal skills in current assessment practices. By addressing these gaps, SmartRubrics aims to support the standardisation, accessibility, and potential enhancement of competency-based assessment practices, aligned with UNESCO’s Sustainable Development Goal 4 (SDG4). Preliminary testing of the prototype with computer science educators has provided valuable information on the effectiveness of the tool and areas for improvement. Future work includes further experimental validation in real educational settings to assess the impact of the tool on teaching and learning practices. Full article

In recent years, plastic decorative materials have been used in the automotive industry due to their advantages such as being environmentally friendly, aesthetic, light and economically affordable. Plastic decorative materials can exhibit high strength and metallic reflection with metal coatings. Chrome plating is generally preferred in the production of decorative plastic parts in the automotive industry. In this study, the effect of injection molding processing parameters on the metal–polymer adhesion of chrome-plated acrylonitrile butadiene styrene (ABS) was investigated. The ABS-based front grille frames are fabricated by means of using an industrial-scale injection molding machine. Then, the fabricated ABS-based front grille frame was plated with chrome by means of the electroplating method. The metal–polymer adhesion was investigated as a function of the injection molding processing parameters by means of a cross-cut test and scanning electron microscope (SEM). As a result, it was determined that the optimal injection process parameters, a cooling time of 18 s, a mold temperature of 70 °C, injection rates of 45-22-22-20-15-10 mm/s, and packing pressures of 110-100-100 bar, were effective in enhancing polymer–metal adhesion for the ABS-based front grille frame. Full article

Background: Social determinants of health—including both adversity and socioeconomic position—are known to shape physical health, health-related behaviors, and overall well-being. However, the psychological mechanisms that link these determinants to diverse outcomes remain insufficiently explored across international contexts. Objective: The objective of this study is to test whether sense of mastery and control over one’s life mediates the associations between key stressors (childhood abuse, financial insecurity) and socioeconomic resources (education, employment, and marital status) with a wide range of outcomes spanning health, behaviors, and well-being. Methods: Using cross-sectional data from Wave 1 of the Global Flourishing Study (GFS), we analyzed responses from more than 200,000 adults in 23 countries. Predictors included exposure to childhood abuse, perceived financial insecurity, and indicators of socioeconomic position (education, employment, and marital status). Outcomes included self-rated physical and mental health, depression, anxiety, smoking, drinking, physical activity, life satisfaction, and happiness. Structural equation modeling (SEM) was used to evaluate both direct and indirect (mediated) effects through sense of mastery and control over life. Results: Stressors were associated with poorer health, higher engagement in risk behaviors, and lower well-being. In contrast, higher levels of education, employment, and being married were linked to more favorable outcomes. In all tested models, sense of mastery and control over life significantly mediated the effects of both stressors and socioeconomic resources on health, behaviors, and well-being outcomes. Conclusions: Sense of mastery and control over life may represent key psychological pathways linking both adversity and social advantage to diverse health-related outcomes. Interventions that enhance individuals’ perceived control may offer cross-cutting benefits to improve health, promote well-being, and reduce behavioral risk factors globally. Full article

Background/Objectives: Hypertension, diabetes, and cancer are three prevalent chronic conditions with distinct etiologies and significant global health impacts. This study aimed to explore the diverse impacts of different chronic illnesses on health behaviors and psychological well-being, with a focus on identifying and addressing the unique challenges faced by individuals with hypertension, diabetes, and cancer. It was hypothesized that health behaviors and psychological well-being would differ significantly among individuals with hypertension, diabetes, and cancer, reflecting the distinct demands and psychosocial impacts of each condition. Methods: The database of Americans’ Changing Lives, Wave 6, including 767 participants, was used (56.1% hypertension, 20.8% diabetes, and 19.9% cancer cases). Variables concerning physical and mental health issues were chosen. Descriptive statistics summarized the data. Chi-squared and t-tests assessed associations and group differences, with effect sizes reported. Logistic regression examined predictors of hypertension, diabetes, and cancer. Sensitivity analyses excluded outliers. Results: Hypertensive individuals are more likely to show cognitive impairment and unhealthy behaviors, including poor self-rated health, higher BMI, lower physical activity, and altered alcohol use. Risk increases with age, widowhood, retirement, hospital admissions, and poor mental health, while more emergency room or doctor visits slightly reduce it. People with diabetes experience greater depressive symptoms, hopelessness, and financial stress. They also tend to have poorer self-rated health, higher BMI, and less physical activity. Risk is higher for separated individuals and lower for females. Psychological distress is a key factor, while age, employment, and healthcare use show minimal influence. Cancer is linked to chronic stress, poorer perceived health, and mental health challenges. Risk is higher among older adults and those who keep house. Poor self-rated health, high BMI, low fruit and vegetable intake, and psychological distress increase risk, but healthcare use is not a strong predictor. Conclusions: While different chronic illnesses present distinct challenges to health behaviors and psychological well-being, they also share common features-such as increased stress and lifestyle disruptions-underscoring the importance of both tailored and cross-cutting interventions to effectively support individuals across conditions. Full article