Search Results (13,163)

Human respiratory syncytial virus (RSV) remains a leading cause of severe lower respiratory tract infections in infants and immunocompromised populations, causing approximately 160,000 annual deaths globally. Despite recent approvals of prefusion F (pre-F) protein-based vaccines (Arexvy, Abrysvo) for older adults and pregnant women, pediatric vaccine development faces unique challenges including enhanced respiratory disease (ERD) risks, maternal antibody interference, and immature infant immune responses. Meanwhile, G protein glycosylation variability and NS1/NS2-mediated interferon suppression remain the outstanding difficulties in structure-based vaccine design. Additionally, current animal models demonstrate notable constraints in virus replication, host susceptibility, immune responses, clinical symptoms, and ERD phenomena. This review synthesizes current obstacles and innovative strategies, highlighting that the selection of multi-antigen strategies, appropriate adjuvants, and the development of more precise preclinical animal models are critical elements that will determine the efficacy and safety of future RSV vaccines. Full article

The causal analysis of historical aviation accidents documented in investigation reports is important for the design, manufacture, operation, and maintenance of aircraft. However, given that most accident data are unstructured or semi-structured, identifying and extracting causal information remain labor intensive and inefficient. This gap is further deepened by tasks, such as system identification from component information, that require extensive domain-specific knowledge. In addition, there is a consequential demand for causation pattern analysis across multiple accidents and the extraction of critical causation chains. To bridge those gaps, this study proposes an aviation accident causation and relation analysis framework that integrates prompt engineering with a retrieval-augmented generation approach. A total of 343 real-world accident reports from the NTSB were analyzed to extract causation factors and their interrelations. An innovative causation classification schema was also developed to cluster the extracted causations. The clustering accuracy for the four main causation categories—Human, Aircraft, Environment, and Organization—reached 0.958, 0.865, 0.979, and 0.903, respectively. Based on the clustering results, a causation knowledge graph for aviation accidents was constructed, and by designing a set of safety evaluation indicators, “pilot—decision error” and “landing gear system malfunction” are identified as high-risk causations. For each high-risk causation, critical combinations of causation chains are identified and “Aircraft operator—policy or procedural deficiency/pilot—procedural violation/Runway contamination → pilot—decision error → pilot procedural violation/32 landing gear/57 wings” was identified as the critical causation combinations for “pilot—decision error”. Finally, safety recommendations for organizations and personnel were proposed based on the analysis results, which offer practical guidance for aviation risk prevention and mitigation. The proposed approach demonstrates the potential of combining AI techniques with domain knowledge to achieve scalable, data-driven causation analysis and strengthen proactive safety decision-making in aviation. Full article

Understanding the pathways through which digital innovation contributes to carbon emission reduction is crucial for designing effective climate policies. Existing studies generally find a negative association between digitalization and carbon emissions, but they often treat this relationship as a “black box” and pay insufficient attention to the distinct local and spatial mechanisms through which digital innovation operates. This paper investigates the impact of digital innovation on city-level carbon emissions in 283 Chinese cities from 2010 to 2020 and decomposes the total effect into a local synergistic effect and a spatial spillover effect using a Spatial Durbin Model. We further conduct an empirical test of the underlying mechanisms, including energy efficiency gains and industrial structure upgrading for the local synergy pathway, and green technology diffusion for the spatial spillover pathway. The results indicate that (1) digital innovation significantly reduces city-level carbon emissions, confirming an overall negative effect; (2) spatial decomposition reveals two simultaneous pathways, with a significant local synergistic effect within cities and a spatial spillover effect to neighboring cities; (3) the mechanism analysis shows that the local synergy is significantly associated with improvements in energy efficiency and industrial upgrading, whereas the spatial spillover is significantly associated with the diffusion of green patents; and (4) the effects are especially pronounced in technology-intensive industries and cities in more advanced regions. These findings imply that carbon reduction driven by digital innovation occurs through both intra-city optimization and inter-city technology diffusion. Therefore, policies should not only motivate cities to strengthen their own digital capacities, but also promote interregional collaboration to enhance positive spillovers and achieve cost-effective and well-coordinated carbon neutrality. Full article

The purpose of this research was twofold. Firstly, it aimed to indicate factors hindering and accelerating the development of organic food as a niche innovation in Poland. Secondly, to depict a phase and a pathway of sustainability transition in the Polish agri-food sector. The analysis was performed taking advantage of the multi-level perspective on socio-technical transitions, which has not been used to analyze the sustainability transition in Poland so far. Data were collected through a systemic literature review. Organic food production is a slow-growing niche in Poland, and the sustainability transition from the current dual agri-food regime consisting of small family farms and intensive food production is at a take-off phase. Organic food production struggles to become a regime with short food supply chains and agroecology, and the number of barriers it faces outweighs the number of enablers for its development. A de-alignment and re-alignment transition pathway can be observed. Which niche innovation becomes dominant depends on changes in regulations and on the development of both local marketplaces and online sales channels. The major conclusion is that in order for the transition in the Polish agri-food sector to happen, it should be better governed. Specifically, we need new policy instruments and governance mechanisms, new financing schemes, alternative and hybrid organizational and ownership structures, and institutional and transformative change approaches. Full article

This study investigates the impact of network structural characteristics on sustainable innovation performance within regional collaborative networks in China’s artificial intelligence (AI) industry. Provincial-level innovation networks were constructed and analyzed using social network analysis to trace their evolutionary pathways using patent application data from 2010 to 2024. The findings reveal that China’s AI innovation network has developed into a multi-tiered, polycentric structure with Beijing as the primary hub. An inverted U-shaped relationship was identified between network centrality, structural holes, and regional collaborative innovation performance at various developmental stages. The external institutional environment, particularly through government R&D subsidies and intellectual property protection, plays a significant moderating role, generally diminishing the effect of centrality while enhancing that of structural holes during the rapid expansion phase. Regional heterogeneity analyses confirmed these patterns in eastern, central, and western China, whereas in the northeast, only centrality showed a significant association with performance. By integrating network location theory with an institutional perspective, this study offers a dual-perspective framework for understanding how sustainable innovation ecosystems can be fostered through network governance and policy interventions. The results provide evidence-based policy implications aimed at enhancing collaborative innovation capacity, mitigating regional disparities, and advancing sustainable development. Full article

This study experimentally evaluates the structural performance of Concrete-Filled Double-Skin (CFDS) hybrid connections that are intended as key components of large-scale floating offshore wind substructures. The innovative aspect of this work lies in the direct experimental comparison of five representative connection details—Headed Stud (HS), Perfobond (PB), L-beam-joint (LJ), L-beam-spacing (LS), and Angle (AN)—with respect to multiple performance indices that are critical under harsh offshore environments. First, full-scale CFDS specimens were fabricated with identical global dimensions while varying only the connection details. The hybrid behavior of the CFDS system arises from the complementary actions of the outer steel tube, which primarily resists tensile forces, and the infilled concrete, which provides dominant compressive resistance and confinement. This composite interaction enhances the stiffness, ductility, and energy absorption capacity of the member under flexural demands, which are essential for floating offshore structures operating under complex marine loading. Second, monotonic bending tests were conducted using a 2000 kN actuator under a cantilever-type configuration, and load–displacement responses were recorded at three locations. Third, the stiffness, ductility, and energy absorption capacity (toughness) were quantified from the measured curves to clarify the deformation and failure characteristics of each connection type. The results show that the PB connection achieved the highest maximum load and exhibited stable ductile behavior with plastic energy dominating the total toughness. The LJ connection provided well-balanced stiffness and deformation capacity with low sensitivity to measurement locations, indicating high reliability for design applications. In contrast, the HS and LS connections experienced localized slip and position-dependent stiffness, while the AN connection showed the lowest load-carrying efficiency. Overall, the findings highlight that connection-level detailing has a decisive influence on the global performance of CFDS hybrid members and provide fundamental data for developing design guidelines for floating offshore structures operating under complex marine loading conditions. Full article

Vanillin (4-hydroxy-3-methoxybenzaldehyde) is widely recognized for its aromatic flavor and established pharmacological properties, including antioxidant, antimicrobial, anti-inflammatory, and anticancer effects. While these biological activities underpin its therapeutic potential, recent advances have expanded the application of vanillin into the field of biomaterials. In particular, vanillin’s unique chemical structure enables its use as a multifunctional building block for the development of innovative hydrogels with dynamic covalent bonding, injectability, and self-healing capabilities. Vanillin-based hydrogels have demonstrated promising applications in wound healing, drug delivery, tissue engineering, and antimicrobial platforms, combining structural support with intrinsic bioactivity. These hydrogels benefit from vanillin’s biocompatibility and functional versatility, enhancing mechanical properties and therapeutic efficacy. This review provides an overview of vanillin’s pharmacological effects, with a primary focus on the synthesis, properties, and biomedical applications of vanillin-derived hydrogels. By highlighting recent material innovations and their translational potential, we aim to position vanillin as a valuable natural compound bridging bioactivity and biomaterial science for future clinical and therapeutic advancements. Full article

This paper presents the outcomes of an extensive experimental investigation on the seismic performance of an innovative exoskeleton retrofitting system, developed as part of the ERIES-RESUME project. The proposed system integrates laminated timber and aluminium components to enhance the structural resilience of existing reinforced concrete (RC) buildings, while also offering the potential for thermal upgrading. Two identical 1:3 scale RC models, representing typical non-ductile structures, were tested on a shaking table at the IZIIS Laboratory of the Institute of Earthquake Engineering and Engineering Seismology in Skopje. The first model, initially unstrengthened, was subjected to seismic loads until significant structural and infill-wall damage was reached. Following appropriate repairs, the exoskeleton was applied, and the model was retested. The second model was equipped with an exoskeleton from the outset. Test results demonstrate significant improvements in seismic performance, including increased stiffness, reduced interstory drifts, reduced acceleration amplification, and reduced infill wall damage. The study confirms the feasibility and effectiveness of the proposed exoskeleton system as a practical solution for retrofitting vulnerable reinforced concrete buildings. Full article

Gears, as critical components of rotating machinery, are prone to wear and fracture due to their complex structural dynamics and harsh operating conditions, leading to catastrophic failures, economic losses, and safety risks. AE technology enables real-time fault diagnosis by capturing stress wave emissions from material defects with high sensitivity. However, mechanical background noise significantly corrupts AE signals, while optimal selection of gear health indicators remains challenging, critically impacting fault feature extraction accuracy. This study develops an adaptive feature extraction method for fault diagnosis using AE. Through gear fault simulation experiments, VMD analyzes mode number and penalty factor effects on signal decomposition. Correlation coefficient-based reconstruction optimization is implemented. For feature selection challenges, SVM-RFE enables adaptive parameter ranking. Finally, SVM with optimized kernel parameters achieves effective fault classification. Optimized VMD enhances signal decomposition, while SVM-RFE reduces feature dimensionality, addressing manual selection uncertainty and computational redundancy. Experimental results demonstrate superior accuracy in gear fault classification. This study proposes an AE-based adaptive feature extraction method with three innovations: (1) establishing VMD parameter–decomposition quality relationships; (2) developing an SVM-RFE feature selection framework; (3) achieving high-accuracy gear fault classification. The method provides a novel technical approach for rotating machinery diagnostics with significant engineering value. Full article

Mature soybean pods exhibit high homogeneity in color and texture relative to straw and dead leaves, and instances are often densely occluded, posing significant challenges for accurate field segmentation. To address these challenges, this paper constructs a high-quality field-based mature soybean dataset and proposes an adaptive Transformer-based network, PodFormer, to improve segmentation performance under homogeneous backgrounds, dense distributions, and severe occlusions. PodFormer integrates three core innovations: (1) the Adaptive Wavelet Detail Enhancement (AWDE) module, which strengthens high-frequency boundary cues to alleviate weak-boundary ambiguities; (2) the Density-Guided Query Initialization (DGQI) module, which injects scale and density priors to enhance instance detection in both sparse and densely clustered regions; and (3) the Mask Feedback Gated Refinement (MFGR) layer, which leverages mask confidence to adaptively refine query updates, enabling more accurate separation of adhered or occluded instances. Experimental results show that PodFormer achieves relative improvements of 6.7% and 5.4% in mAP50 and mAP50-95, substantially outperforming state-of-the-art methods. It further demonstrates strong generalization capabilities on real-world field datasets and cross-domain wheat-ear datasets, thereby providing a reliable perception foundation for structural trait recognition in intelligent soybean harvesting systems. Full article

Composite bonded anchors represent an innovative solution in the field of fastening technology, finding wide application in construction and civil engineering. This article presents a comprehensive review of the available scientific literature, a market analysis and a survey of patent databases related to this issue. Key aspects of the design, mechanical properties and durability of composite bonded anchors under various operating conditions are discussed. Special attention was paid to comparing composite solutions with traditional anchoring systems, highlighting their advantages and limitations. The results presented indicate a growing interest in this technology, which is due to both its high strength, corrosion resistance and applicability to lightweight structures. In conclusion, the article identifies key directions for further research and potential areas for the development of composite bonded anchors in the context of modern engineering challenges. Full article

Background: Pediatric patients often receive medicines manipulated from adult formulations due to a lack of age-appropriate products. While such practices are clinically routine, they may reflect deeper systemic deficiencies in pediatric pharmacotherapy. Objective: This scoping review aimed to map the prevalence, definitions, and types of pediatric drug manipulation and to conceptualize manipulation as an indicator of structural gaps in formulation science, regulation, and access. Methods: A systematic search of PubMed (January 2014–July 2024) included 10 studies reporting the frequency of drug manipulation in children aged ≤18 years. Eligible studies were synthesized narratively according to PRISMA-ScR guidelines. Results: Ten studies from nine countries were included, reporting manipulation frequencies ranging from 6.4% to 62% of all drug administrations and up to 60% at the patient level. Manipulated formulations most commonly included oral solid doses, altered through dispersing, splitting, or crushing. Definitions and methodologies varied considerably. The findings revealed five recurring structural gaps: limited pediatric formulations, inconsistent regulatory implementation, lack of standardized definitions and guidance, insufficient evidence on manipulation safety, and inequitable access across regions. Conclusion: Manipulation of finished dosage forms for use in children is a widespread, measurable phenomenon reflecting systemic inadequacies in formulation development, regulation, and access. Recognizing manipulation as a structural indicator may guide policy, innovation, and equitable pediatric pharmacotherapy worldwide. Full article

The packaging sector is undergoing a significant transformation driven by increasing environmental challenges and new European regulatory frameworks. The Packaging and Packaging Waste Regulation (PPWR), following the European Green Deal and Circular Economy Action Plan, introduces five strategic priorities: waste prevention, recyclability, recycled content, compostable materials, and reusable systems. This framework aims to systematically review the current state of academic research in relation to these five intervention areas, assessing the extent to which the scientific literature supports the regulation’s circular economy objectives. The PPWR sets guidelines for key aspects such as packaging treatment, recycling targets, Extended Producer Responsibility (EPR) and material optimization. These aspects are strongly linked to market dynamics, driving innovation and new developments in packaging design. This study aims to provide a comprehensive overview of the industry’s evolution, with a focus on the crucial role of the circular economy in addressing the persistent issue of packaging waste. By conducting a systematic literature review using the PRISMA method, the research explores the relationship between the regulation’s structural design and the European Commission’s priority areas. The results reveal that waste prevention and reusability are the most researched areas, particularly concerning environmental assessments and regulatory tools like EPR. Additionally, while recyclability has been studied from technical and environmental perspectives, there is still a lack of research on how it connects with supply chain and material market trends. Strengthening these connections could significantly enhance recycling efficiency and improve the sustainability of packaging systems. Furthermore, financial incentives and policy strategies could play a key role in facilitating the transition to a circular economy. Addressing these gaps will foster a more integrated understanding of sustainable packaging solutions. Full article

Two-photon polymerization (2PP) is revolutionizing micro- and nanoscale manufacturing by enabling true 3D fabrication with feature sizes far below the diffraction limit—capabilities that traditional lithography cannot match. By using ultrafast femtosecond laser pulses and nonlinear absorption, 2PP initiates polymerization only at the laser’s focal point, offering unmatched spatial precision. This paper highlights key advancements driving the field forward: the development of new materials engineered for 2PP with improved sensitivity, mechanical strength, and the introduction of high-speed, parallelized fabrication strategies that significantly enhance throughput. These innovations are shifting 2PP from a prototyping tool to a viable method for scalable production. Applications now range from custom biomedical scaffolds to complex photonic and metamaterial structures, demonstrating their growing real-world impact. We also address persistent challenges—including slow writing speeds and limited material options—and explore future directions to overcome these barriers. With continued progress in materials and hardware, 2PP is well positioned to become a cornerstone of next-generation additive manufacturing. Full article

The miniaturisation of electronic devices has intensified the demand for compact, high-performance lithium-ion batteries. This review synthesises recent progress in microscale battery development, focusing on microfabrication techniques, nanostructured materials, porosity-engineered architectures, and strategies for reducing non-active components. It explores both top–down and bottom–up fabrication methods, the integration of nanomaterials, the role of gradient electrode architectures in enhancing ion transport and energy density, along with strategies to reduce non-active components, such as separators and current collectors, to maximise volumetric efficiency. Advances in top–down and bottom–up fabrication methods, including photolithography, laser structuring, screen printing, spray coating, mechanical structuring, and 3D printing, enable precise control over electrode geometry and enhance ion transport and material utilisation. Nanostructured anodes, cathodes, electrolytes, and separators further improve conductivity, mechanical stability, and cycling performance. Gradient porosity designs optimise ion distribution in thick electrodes, while innovations in ultra-thin separators and lightweight current collectors support higher energy density. Remaining challenges relate to scalability, mechanical robustness, and long-term stability, especially in fully integrated micro-battery architectures. Future development will rely on hybrid fabrication methods, advanced material compatibility, and data-driven optimisation to bridge laboratory innovations with practical applications. By integrating microfabrication and nanoscale engineering, next-generation LIBs can deliver high energy density and long operational lifetimes for miniaturised and flexible electronic systems. Full article