Search Results (733)

Professional certification of engineers plays a crucial role in verifying competencies and ensuring the safety and quality of engineering outputs. However, most existing certification systems assign fixed validity periods (e.g., 3–5 years) without considering individual engineer characteristics or the intensity of technological progress in specific fields. This study examines the key factors influencing the optimal validity period of engineering certifications and proposes it as a measurable indicator to support safety in engineering practice. A new model is introduced that integrates expert judgment, fuzzy set theory, and bibliometric analysis of Q1/Q2 Scopus-indexed publications. The model incorporates three main factors: competence level, professional experience, and the technological intensity of the discipline. A case study from the engineering certification system of Kazakhstan demonstrates the model’s practical applicability. Certification bodies, policymakers, and engineering organizations can use these findings to establish more flexible certification validity periods, thereby ensuring timely reassessment of competencies and reducing safety risks. For example, for mechanical engineers, the optimal validity period is 3 years rather than the statutory 5 years; in other words, the model recommends a 40% reduction in certification validity. This reduction reflects the combined effects of competency level, professional experience, and technology intensity on certification renewal schedules. Overall, the proposed factorial approach supports a more personalized and safety-oriented certification process and offers insights into improving national qualification systems. Full article

Large Language Models (LLMs) encounter significant challenges when applied in specialized domains that require precise and localized information. This problem is particularly critical in regulatory sectors, such as the animal health sector in Brazil, where professionals depend on complex and constantly updated legal norms to perform their work. The generic knowledge encapsulated in traditional LLMs is often insufficient to provide reliable support in these contexts, which can lead to inaccurate or outdated responses. To address this gap, this work presents a practical implementation of a Retrieval-Augmented Generation (RAG) system. We detail the integration of this system with the Plataforma de Defesa Sanitária Animal do Rio Grande do Sul (PDSA-RS), a real platform used for animal production certification. Our solution connects an LLM to an external knowledge base containing specific Brazilian legislation, allowing the model to retrieve relevant legal texts in real time to generate its responses. The principal objective is to demonstrate how this approach can produce accurate and contextually grounded answers for professionals in the veterinary field, assisting in decision-making processes for sanitary certification. Full article

The growing need for sustainable materials in architecture has sparked significant interest in natural-fiber-based composites. Among these, coconut coir, a by-product of the coconut industry, has emerged as a promising raw material owing to its abundance, renewability, and excellent mechanical properties. The promise of coir-based composites in architecture is highlighted in this review, which also looks at their problems, advantages for the environment, manufacturing processes, and mechanical, thermal, and acoustic performances. The fibrous shape of the coir provides efficient thermal and acoustic insulation, while its high lignin concentration guarantees stiffness, biological resistance, and dimensional stability. Fiber-matrix adhesion and durability have improved owing to advancements in treatment and environmentally friendly binders, opening up the use of cement, polymers, and hybrid composites. In terms of the environment, coir composites promote a biophilic design, reduce embodied carbon, and decrease landfill waste. Moisture sensitivity, inconsistent fiber quality, and production scaling are obstacles; however, advancements in hybridization, grading, and nanotechnology hold promise. This review provides comprehensive, architecture-focused review that integrates material science, fabrication techniques, and real-world architectural applications of coir-based composites. Coir-based composites have the potential to be long-lasting, sustainable substitutes for conventional materials in climate-resilient architectural design if they are further investigated and included in green certification programs and the circular economy. Full article

Social workers are required to have the capacity to effectively support welfare recipients to restore their labor participation for social inclusion. However, a systematic method for process evaluation of this capacity has not yet been established. In this study, we developed the Index of Social Work Process in Promoting Social Participation of Welfare Recipients (SWP-PSP) to address this gap. Item domains and pools were prepared by referring to existing social work guidelines and human capital management theories, and content and face validity were confirmed by an expert panel review. The initial 75 items were revised to 44. We conducted a cross-sectional survey with 139 social workers working in public livelihood support at various municipal authorities in Japan. Item response theory analysis was performed for item selection, followed by the criterion-related validity test for convergent validation using Utrecht Work Engagement (UWE) scale scores as a reference. The selected 20 items with four domains were moderately correlated with UWE scores (Pearson’s correlation coefficient r = 0.35). Certified social workers demonstrated a stronger correlation with UWE (r = 0.44) than social workers without certification (r = 0.26). Cronbach’s alpha coefficients in each domain were over 0.77. These results indicate the reliability and validity of the SWP-PSP. This measure may be helpful for the evaluation of social workers’ capacity to promote social inclusion of welfare recipients. Full article

Occupational environments often expose workers to physical and psychological stressors that compromise well-being and productivity. While biophilic design has gained attention, there remains limited systematic integration of Nature-Based Solutions (NbS) within workplace management frameworks. This review aims to map the empirical impacts of NbSs on occupational health, productivity, and environmental quality, and to identify key barriers and facilitators for their integration into comprehensive Quality, Environmental, Health, and Safety (QEHS) management systems. A scoping literature review was conducted in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A comprehensive search was performed in the Scopus and Web of Science databases for studies published between 2019 and 2024. A total of 2452 records were initially retrieved, with 39 studies retained for synthesis following screening, eligibility assessment, and critical appraisal using the Joanna Briggs Institute checklist. Findings indicate that NbSs can reduce stress, improve physical and cognitive health, and enhance workplace productivity. Reported benefits include reduced absenteeism, improved indoor air quality, and measurable financial returns. However, significant challenges persist, including high upfront costs, ongoing maintenance demands, a shortage of specialized labor, and methodological heterogeneity across studies. In particular, hybrid approaches combining physical natural elements and immersive technologies such as virtual reality emerged as promising alternatives for spatially constrained environments. Participatory co-design and stakeholder engagement were also identified as critical success factors for effective implementation. Integrating NbSs into QEHS frameworks has the potential to foster healthier, more resilient, and sustainable workplaces. Alignment with recognized certifications can further support systematic adoption and monitoring. Future research should prioritize longitudinal designs, standardized outcome metrics, and physiological markers, while addressing geographical gaps through studies in underrepresented regions. Embedding participatory processes and certification alignment can enhance stakeholder buy-in and practical scalability, advancing the integration of NbSs into holistic workplace management strategies. Full article

Sea anchors for fishing operations are essential equipment to enhance catch efficiency and ensure operational stability at sea. However, previous studies have mainly focused on theoretical modeling or experiments under restricted conditions, which have not sufficiently reflected the complex operating environments and practical needs of real-world fisheries. To address this gap, this study derived key factors to improve the design and operation of sea anchors and quantitatively analyze the relative importance and rank of these factors. An expert panel was formed from 25 participants, including jigging vessel captains, recreational fishing boat captains, sea anchor manufacturers, and research institute workers. Using a three-round Delphi process followed by Analytic Hierarchy Process (AHP) analysis, we distilled an initial list of 52 improvement suggestions into 15 prioritized items, quantitatively ranked by relative importance based on expert consensus. The highest-ranked factor was ‘Enhancement of fabric drying performance’, followed by ‘Application of low-cost, high-efficiency materials’, ‘Improvement of recovery’, ‘Enhancement of UV resistance’, and ‘Product quality certification’. The highest-weighted metric was ‘Improvement of usability’, followed by ‘Enhanced durability’ and ‘Improvement of functionality’. The consistency ratio (CR) of the pairwise-comparison matrix was 0.0014 (AHP acceptability criterion: CR ≤ 0.1), confirming the reliability and consistency of the analysis. By reflecting real-world priorities through a robust and systematic analytical process, this study offers a foundation for evidence-based improvements in sea anchor design and operation, overcoming the limitations of earlier approaches rooted in subjective judgment or trial-and-error experience. Full article

Given the impacts of the building sector on energy consumption and greenhouse gas emissions, the European Union has defined regulations to improve buildings’ energy performance. Among these provisions, there is the requirement, in each member state, to set up a framework for the energy performance certification of buildings; this is a tool to quantify and unequivocally identify the overall energy performance of buildings based on accountable and comparable criteria. Did member states implement similar approaches in their definitions of their energy certification framework and goals? Does this approach provide an effective solution to drive building-energy efficiency and sustainability improvement? This work investigates and compares the process of the energy certification of buildings in two European countries: Italy and Belgium. The purpose is to identify the pros and cons of the framework in each country, in addition to the similarities and differences between them. The comparative analysis showed non-negligible differences between the two approaches, in terms of both methodology and outcomes. The climate context was found to play a key role in determining the methodological discrepancy. Moreover, both of the developed approaches show balanced pros and cons that should be further questioned to provide shared tools that can effectively support building-energy efficiency enhancement and resilience to climate change. Full article

This study investigates the structural and cyclical determinants of tropical hardwood exports among member countries of the International Tropical Timber Organization (ITTO) over the period 1995–2022—a sector historically characterized by persistent value imbalances. The central research issue addresses the enduring asymmetries in the global value chain, shaped by unequal industrial capacities, limited access to environmental certifications, and entrenched North–South trade relations. The study pursues three main objectives: (1) to develop a typology of exporting countries; (2) to estimate heterogeneous trade elasticities; (3) to propose a policy framework that reconciles equity with sustainability. The empirical findings identify four export profiles: (i) raw producers with minimal local processing; (ii) marginal players with weak trade integration; (iii) high-value-added re-export platforms (notably in Asia); (iv) major consumer markets. Trade effects vary across regions. In the short term, imports boost exports (+0.33%), particularly in re-export models seen in Asia, the USA, and the EU, while local production remains limited in Africa due to weak industrial capacity. In the long term, both domestic production and imports have a positive impact (+0.38% and +0.37%), but only countries with strong industrial bases fully benefit. Population size (+1.29%) also reinforces the advantage of large markets like China and India, supported by short-term economic growth elasticity (+1.1%), likely driven by improved logistics or rising demand from importing countries. In response, the policy implications converge around the proposal of a “Fair and Digital Timber Trade Model” (F&DTTT), structured around three pillars: (a) specialized economic zones aligned with SDGs 8, 12, and 15; (b) blockchain-based traceability systems to enhance supply chain transparency; (c) South–South cooperation strategies aimed at commercial, regulatory, and institutional rebalancing, including potential cartelization initiatives among Southern countries. Supported by a robust methodological framework, this study provides a forward-looking pathway for transforming the tropical timber trade into a vector of equity and sustainability. Full article

Renewable energy communities (RECs) can play a vital role in integrating renewable gases like biomethane into Austria’s energy system. This study examines critical gaps in national regulations for renewable gas RECs (short ‘gas RECs’) and the need for clarification in certification processes. The novelty of this study lies in the development of energy community (EC) variants for renewable gas, focusing on Industrial, Communal, and Agricultural Symbiosis. A case study of Bruck/Leitha evaluates the techno-economic feasibility of gas RECs, showing that while biomethane’s production costs are higher than natural gas by 2.14 cents/kWh in 2021, it offers greater price stability. Although biomethane is economically less competitive, it provides significant ecological benefits. The results underline the importance of policy advancements, including funding mechanisms and regulatory clarity, to support the integration of gas RECs into Austria’s energy system. Full article

In aeronautical applications, composite additive manufacturing (CAM) is transforming aircraft design by enabling unprecedented lightweighting and functional integration. However, industrial adoption remains limited due to insufficient understanding of the complex interplay among materials, processes, designs, and performance. Existing reviews lack an integrated analytical framework; thus, this study pioneers a closed-loop “Material-Process-Design-Performance (MPDP)” framework for critical analysis. We systematically categorize aerospace-relevant composite systems and core AM technologies, emphasizing their interactions and constraints. Crucially, we demonstrate how AM design bridges material limitations and performance breakthroughs. Validation via aerospace case studies confirms the framework’s efficacy and reveals core bottlenecks: performance consistency, quality control, and certification gaps. We argue that transitioning from isolated optimization to collaborative co-optimization of materials, processes, and design is essential for CAM’s advancement. Finally, we propose a strategic development pathway to guide future research and industrial translation, particularly for next-generation aircraft and spacecraft systems. Full article

Sustainable tourism requires balancing environmental protection, social equity, and economic viability, yet its effective promotion depends on communication strategies that genuinely capture travelers’ attention. Despite growing emphasis on ecological responsibility in marketing, little is known about how sustainability-related content in tourism advertising is actually perceived. This study addresses this gap by examining visual attention to eco-oriented elements in promotional materials through eye-tracking technology. The research aimed to identify whether ecological certifications, slogans, and related cues attract attention and influence consumer choices, and to assess how these processes are moderated by individual ecological awareness. An experimental design was conducted with 23 young adults (aged 18–22) who viewed three tourism offers differing in their degree of sustainability messaging. Eye movements were recorded with the Gazepoint GP3 HD eye-tracker, focusing on predefined Areas of Interest (AOIs), including ecological certificates, pricing, and imagery. Heatmaps and fixation metrics were complemented by a post-exposure questionnaire. The results indicate that visually dominant components such as destination images and pricing consistently attracted the most attention, while sustainability cues were noticed but rarely prioritized. Participants with higher ecological awareness actively sought and recalled these elements, highlighting the moderating role of intrinsic motivation. The study contributes to both sustainable tourism and neuromarketing research by demonstrating how ecological values interact with perceptual behavior. Practically, it shows that eye-tracking can guide the optimal placement and design of sustainability cues in advertising. The exploratory nature and small, homogeneous sample are acknowledged as limitations, but they provide a valuable foundation for future large-scale studies. Full article

The interconnectivity of avionics systems supports the need to incorporate functional safety and information security into airworthiness validation and maintenance protocols, which is critical. This necessity arises from the demanding operational environments and the limitations on defense resource allocation. This study proposes an optimization model for the strategic deployment of defense mechanisms, leveraging the dynamic interplay between attack and defense modeled by non-cooperative game theory and aligning with the maintenance schedules of civil aircraft. By developing an Attack–Defense Tree and conducting a non-cooperative game analysis, this paper outlines strategies from both the attacker’s and defender’s perspectives, assessing the impact of focused defense improvements on the system’s security integrity. The results reveal that the broad expansion of defense measures reduces their effectiveness, whereas targeted deployment significantly enhances protection. Monte Carlo simulations are employed to approximate equilibrium solutions across the strategy space, reducing computational complexity while retaining robustness in capturing equilibrium trends. This approach supports efficient allocation of defense resources, strengthens overall system security, and provides a practical foundation for integrating security analysis into avionics maintenance and certification processes. Full article

Rapid building damage assessments are vital for an effective earthquake response. In Japan, traditional Earthquake Damage Certification (EDC) surveys—followed by the issuance of Disaster Victim Certificates (DVCs)—are often inefficient. With advancements in remote sensing technologies and deep learning algorithms, their combined application has been explored for large-scale automated damage assessment. However, the scarcity of remote sensing data on damaged buildings poses significant challenges to this task. In this study, we propose an Uncertainty-Guided Fusion Module (UGFM) integrated into a standard decoder architecture, with a Pyramid Vision Transformer v2 (PVTv2) employed as the encoder. This module leverages uncertainty outputs at each stage to guide the feature fusion process, enhancing the model’s sensitivity to collapsed buildings and increasing its effectiveness under diverse conditions. A training and in-domain testing dataset was constructed using post-earthquake aerial imagery of the severely affected areas in Noto Prefecture. The model approximately achieved a recall of 79% with a precision of 68% for collapsed building extraction on this dataset. We further evaluated the model on an out-of-domain dataset comprising aerial images of Mashiki Town in Kumamoto Prefecture, where it achieved an approximate recall of 66% and a precision of 77%. In a quantitative analysis combining field survey data from Mashiki, the model attained an accuracy exceeding 87% in identifying major damaged buildings, demonstrating that the proposed method offers a reliable solution for initial assessment of major damage and its potential to accelerate DVC issuance in real-world disaster response scenarios. Full article

Standardized driving cycles such as the FTP-75 fail to represent traffic conditions in cities like Guayaquil, where high congestion and varied driving behaviors are not captured by external models. This study aimed to develop representative driving cycles for the city’s most congested urban routes, covering the north, south, center, and west zones. Using the direct method, real-world trips were conducted with an M1-category vehicle equipped with an OBDLINK MX+ device, allowing real-time data collection. Driving data were processed through OBDWIZ software Version 4.30.1 and statistically analyzed using Minitab. From pilot tests, the appropriate sample size was estimated, and normality tests were applied to determine the correct measures of central tendency. The final representative cycles were constructed using a weighting criteria method. The results provided quantified evidence of variations in average speed, idle time, and acceleration patterns across the routes, which were transformed into representative driving cycles. These cycles provide a more accurate basis for emission modeling, vehicle certification, and transport policy design in congested cities such as Guayaquil, and this is the applied impact that is highlighted in our contribution. Furthermore, the developed cycles provide a foundation for future research on emission modeling and the design of sustainable transport strategies in Latin American cities. Full article

The Extensible Authentication Protocol–Transport Layer Security (EAP-TLS) is a critical authentication protocol for wireless networks and secure IoT communications. However, it faces significant challenges from man-in-the-middle attacks, including message tampering, replay, and certificate forgery. Although model checking techniques have been applied to verify its security properties, the complexity of the EAP-TLS handshake often prevents accurate formal modeling; existing studies rarely assess the communication overhead of protocol enhancements. Moreover, traditional Logic of Events Theory (LoET) struggles to handle transport-layer protocols like EAP-TLS due to their intricate interaction processes. This study proposes a novel formal analysis approach, extending LoET by expanding five event classes, formulating corresponding rules, and introducing new axioms. Formal verification reveals attack paths involving plaintext theft, message tampering, and entity impersonation. The research proposes an enhanced strategy to mitigate these vulnerabilities through hash merging, encryption, and signature methods, alongside analyzing their communication costs to ensure feasibility. Using the extended LoET, the improved protocol is rigorously proven to satisfy strong authentication, thereby enhancing practical security. The proposed method achieves a time complexity of O(n²) and demonstrates superior performance in resisting state explosion compared with related approaches, thus establishing a more efficient and robust framework for EAP-TLS security analysis. Full article