Search Results (16,998)

Atopic dermatitis (AD) is a chronic relapsing inflammatory skin disease in which persistence of immunological memory underlies disease recurrence and progression toward atopic comorbidities. Evidence indicates that pathogenic tissue-resident memory T cells (TRM), including Th2- and Th22-skewed subsets, among others, persist in both lesional and clinically resolved skin and rapidly re-initiate inflammation through production of IL-4, IL-13, IL-22 and IL-31, promoting barrier dysfunction and pruritus. In parallel, circulating CLA⁺ memory T cells retain skin-homing capacity and contribute to flare reactivation, while IgG1⁺CD23 IL-4Rα⁺ type-2 memory B cells (MBC2) constitute a reservoir for high-affinity IgE production, linking cutaneous inflammation with allergic comorbidities. These adaptive memory compartments are sustained by epithelial alarmins, dendritic cell–derived chemokines such as CCL17, CCL22 and CCL18, and the OX40/OX40L costimulatory pathway, which promotes differentiation, survival and tissue retention of memory T cells. Clinical and transcriptomic studies show how, although IL-4/IL-13 blockade reduces circulating type-2 responses, Th2A cells, Tc2 cells and activated dendritic cells can persist in clinically resolved skin, providing a mechanistic basis for relapse after treatment withdrawal. Together, these findings support the relevance of targeting memory-imprinting pathways as a promising mechanism to achieve durable disease modification in AD. Full article

Excavation in soil–rock composite strata poses significant challenges in regard to deformation control due to stiffness contrast and interface discontinuity. Based on the optimization requirements of a foundation pit project in Jinan Metro Line 7, we evaluated an end-suspended pile support system without rock-socket support through physical model tests and numerical simulations. The results indicate that ground settlement exhibits a typical “trough-shaped” distribution with an influence range of approximately 20 m. The pattern of retaining wall displacement evolves from being “inverted-triangular” into a “vase-shaped” during staged excavation, with maximum displacement remaining within code limits. Bending-moment peaks can be observed near strut levels and approximately 1 m above the soil–rock interface, reflecting stress redistribution and differential constraint effects. Parametric analysis demonstrated that increased rock weathering reduces formation stiffness and amplifies deformation and strut forces, whereas moderately weathered rock provides more effective restraint. A steeper interface dip angle induces asymmetric deformation due to stiffness contrast, increasing overall structural demand. An increase in rock-socketed depth, particularly within 4.0–4.5 m, significantly enhances anchorage performance and deformation control. These findings provide quantitative support for optimizing suspended pile systems in soil–rock composite strata. Full article

Accurate prediction of excavation forces is critical for the design reliability and operational safety of Mars surface sampling systems. This study establishes an analytical modeling framework to describe the excavation mechanics of Martian soil, focusing on the formation mechanism and evolution of resistance. Soil deformation and failure processes are qualitatively identified using particle image velocimetry (PIV) and discrete element method (DEM) simulations. Based on limit equilibrium theory, the passive earth pressure is derived, and the scoop is divided into seven force-bearing regions for three-dimensional force decomposition. The analytical model is validated against multibody dynamics–discrete element method (MBD–DEM) co-simulation. The results indicate that excavation resistance exhibits a distinct single-peak evolution, maximizing near the maximum excavation depth. Notably, the inner bottom surface and cutting edge dominate resistance during penetration, contributing approximately 56% and 30% of the total force, respectively. The resistance mechanism transitions after soil emergence due to the gravitational effect of retained soil. Consequently, this framework provides a physically interpretable and quantitatively validated approach for force prediction, offering theoretical support for sampling scoop design and optimization in future Mars missions. Full article

Sustainable regional competitiveness is widely recognized as a cornerstone for fostering economic growth, social well-being, and environmental sustainability at the local level. Building upon our previous research, in which we extensively examined the ten factors shaping regional competitiveness, this study continues the investigation by focusing on the same nine factors while replacing environmental considerations with civil protection, utilizing updated literature spanning 2020 to 2025. The study’s time frame was from March 2025 to November 2025. A literature review methodology was adopted, emphasizing critical evaluation rather than a systematic review. Recent studies published within the last five years were analyzed, with particular attention to these ten recognized factors: (1) economy, (2) labor market, (3) poverty and social inclusion, (4) healthcare, (5) educational infrastructure, (6) environmental considerations, (7) transportation infrastructure, (8) science and technology, (9) high-tech industries, and (10) innovation. The key findings of the study emphasize the distinct yet interconnected role of each factor in shaping regional competitiveness. Economic development remains foundational, closely linked with education, causes of death, and sustainability, highlighting that a strong economy alone is insufficient. Labor market dynamics, including youth employment and skills development, are crucial for translating potential into growth, while addressing poverty and social exclusion requires coordinated social and economic policies. Public health indicator reflect societal challenges and helps identify areas where targeted interventions can enhance well-being and productivity. Education strengthens human capital, supports innovation and high-tech industries, and promotes social inclusion, creating the foundation for sustainable regional growth. Environmental issues shape the risks that civil protection must manage, while effective environmental protection reduces the need for emergency response. Transportation infrastructure connects economic activity, Research & Development (R&D), Information and Communication Technologies (ICT) deployment, and innovation, enhancing regional integration. Science and technology, particularly ICT, drive productivity and competitiveness, while human capital plays a central role in the development of high-tech industries, supporting innovation and economic diversification. Finally, innovation underpins the capacity of regions to adapt and maintain a long-term competitive advantage. Overall, this research demonstrates that by retaining the same nine core factors and replacing environmental considerations with civil protection, it is possible to gain new insights into regional competitiveness. Full article

Firefighters are exposed to complex combustion products and to contaminants carried on personal protective equipment (PPE). Occupational exposure as a firefighter is classified as carcinogenic. This review summarizes the current evidence on exposure environments, routes of uptake, contamination and secondary exposure from PPE, and the effectiveness and limits of decontamination approaches. Across incident types, smoke composition varies with the fuels and combustion conditions, but fine and ultrafine particles and semi-volatile organic chemicals are common. Biomonitoring confirms uptake after incidents. Self-contained breathing apparatus reduces inhalation exposure during active suppression, yet exposures persist through dermal absorption at ensemble interfaces and post-incident tasks. Protective ensembles can retain soot-bound polycyclic aromatic hydrocarbons, additive chemicals, and metals; volatiles and particles resuspension in vehicles and stations can extend exposure. Studies show that on-scene preliminary exposure reduction and laundering can lower contaminant burdens on PPE; however, removal remains incomplete and decreases when cleaning is delayed or when gear is aged. Emerging evidence raises additional concern for per- and polyfluoroalkyl substances from foams and coating materials, with limited data on exposure metrics and removability. The field lacks standardized, realistic contamination platforms and a dose-based definition of clean PPE. Integrated intervention studies linking exposure, secondary exposure pathways, biomarkers, and decontamination methods are needed to set performance-based targets and evaluate emerging hazards. Full article

Modern reliability experiments frequently face operational constraints that require balancing test duration, precision, and removal strategies, rendering classical censoring schemes inadequate for contemporary multidisciplinary applications. This study introduces a novel multi-progressive generalized Type-II censoring (MP-GC-T2) framework that unifies and extends existing progressive and generalized censoring structures through the integration of staged failure-proportion controls, dual temporal termination thresholds, and adaptive withdrawal of surviving units. The proposed mechanism provides enhanced flexibility in experiment design while retaining analytical tractability for statistical inference. Assuming Weibull lifetimes, we develop a complete inferential framework including maximum likelihood estimation, asymptotic interval construction, and Bayesian estimation via hybrid Metropolis–Hastings–Gibbs sampling with informative gamma priors, together with multiple interval estimation strategies for reliability characteristics. Extensive Monte Carlo investigations assess estimator bias, precision, coverage behaviour, and interval efficiency across diverse censoring configurations, demonstrating robustness and inferential gains relative to conventional schemes. Furthermore, optimal progressive-removal planning criteria are explored to guide practitioners in selecting censoring patterns that maximize inferential accuracy under practical constraints. The versatility and practical relevance of the MP-GC-T2 design are illustrated through applications to heterogeneous real datasets arising from clinical, chemical, geological, physical, and petroleum sciences, confirming its adaptability to distinct reliability structures and data-generation mechanisms. Collectively, the proposed methodology contributes a unified experimental and inferential platform that advances censoring design, reliability estimation, and cross-disciplinary statistical modelling. Full article

High-energy ballistic and avulsive injuries to the face represent some of the most complex challenges in modern reconstructive surgery. Since Robertson and Manson’s 1999 management protocol, extensive military experience and technological advancements have transformed the treatment principles while preserving the core tenets of staged care. This updated review synthesizes evidence from 36 studies published since 2000, encompassing over two decades of global experience in both military and civilian trauma. Advances in damage-control resuscitation, wound decontamination, and early skeletal stabilization have improved survival and functional outcomes. Modern imaging—particularly intraoperative CT and navigation—enables the precise verification of the reduction and removal of retained fragments, while virtual surgical planning and patient-specific implants allow the accurate restoration of facial buttresses. Early vascularized tissue transfer has reduced contracture and infection rates. Adjuncts such as hyperbaric oxygen therapy, permissive hypotension, and advanced hemostatic agents further optimize recovery. The updated four-phase protocol—resuscitation, reconstitution, reconstruction, and rehabilitation—emphasizes early definitive repair, multidisciplinary collaboration, and the integration of digital planning. These refinements extend Robertson and Manson’s foundational principles into the era of precision surgery, achieving superior aesthetic and functional outcomes for patients with devastating facial injuries. Full article

Sustainable agriculture is increasingly reliant on reducing anthropogenic inputs and recycling organic waste while protecting ecosystems. In this context, this study investigated the agro-environmental properties of biosulfate, focusing on its interaction with herbicides and its effects on soil fungi and horticultural plants. Two biosulfate samples obtained from urban sewage sludge from the Barletta (BIO-BA) and Foggia (BIO-FO) treatment plants were characterized by Fourier transform infrared–attenuated total reflectance (FTIR-ATR) spectroscopy and scanning electron microscopy (SEM). The adsorption/desorption of the herbicides metribuzin (MET), S-metolachlor (S-ME) and cycloxydim (CYC) on biosulfates was evaluated by studying adsorption kinetics and isotherms. All herbicides reached adsorption equilibrium within a few hours, according to pseudo-second-order kinetics, indicating a predominant chemical interaction between biosulfate and the molecules. Considering the organic C content of BIO-BA (~21%) and BIO-FO (~17%), which was less than half that commonly measured for other organic fertilizers, such as compost and digestate, their adsorption capacity was high, with Freundlich adsorption constants ranging from 772 µg g⁻¹ (S-ME on BIO-BA) to 1464 µg g⁻¹ (CYC on BIO-FO). A low hysteresis coefficient indicated a rather slow and incomplete release of the molecules from the biosulfate. Exposure of the fungi Pleurotus ostreatus and Pleurotus eryngii to 1, 2, 3, and 4% BIO-BA and BIO-FO stimulated mycelium growth, indicating that responses depended on fungal species and biosulfate dose. Finally, germination and early growth of lettuce and basil were generally unaffected by either biosulfate, as parameters such as germination percentage, root and shoot length, and fresh and dry biomass were not statistically different from the control. Some growth stimulation was observed in basil. Overall, biosulfate appears to be a promising soil fertilizer, as it can contribute to soil organic matter, retain xenobiotics, and exert biostimulatory effects under controlled conditions. Full article

Tree-based production systems embedded within Amazonian biocultural landscapes remain systematically undervalued in global climate, biodiversity, and development policy frameworks. This study assessed tree diversity, structural attributes, and carbon stocks across traditional cacao-based Amazonian agroforestry systems (Chakra), tree-rich silvopastoral systems, and old-growth forests in the Andean–Amazon transition zone of Ecuador. Based on 28 sampling plots (DBH ≥ 10 cm), old-growth forests stored the highest aboveground carbon stocks, while agroforestry and silvopastoral systems retained approximately 20–30% of forest carbon, equivalent to ~100–180 Mg CO₂-equivalent ha⁻¹—far exceeding values reported for monocultures or treeless pastures. A total of 151 tree species were recorded across all land-use systems, with forests harboring the highest richness (122 species), followed by agroforestry (35 species) and silvopastoral systems (28 species). Carbon storage was highly concentrated in a limited subset of multifunctional species: in agroforestry systems, eight species accounted for ~80% of total aboveground CO₂-equivalent stocks, whereas in silvopastoral systems only five species explained a similar proportion. Dominant taxa such as Cordia alliodora, Inga edulis, Jacaranda copaia, Piptocoma discolor, and Piptadenia pteroclada illustrate a process of biocultural species filtering, whereby trees providing food, timber, shade, and cultural value are selectively retained while sustaining significant carbon stocks. These findings demonstrate that tree-based productive systems function as biocultural productive landscapes that conserve carbon, biodiversity, and livelihoods beyond forest boundaries. We argue for their formal inclusion, particularly traditional silvopastoral systems, within climate finance mechanisms, nationally determined contributions (NDCs), and biocultural heritage frameworks, alongside forest conservation strategies. Full article

This study examines the impact of Environmental Management Accounting (EMA) on Corporate Environmental Performance (CEP). Furthermore, it explores the mediating role of Green Process Innovation (GPI) in this relationship. Data from 558 employees across registered Saudi Arabian oil and natural gas companies were collected and analyzed with Smart-PLS software. Results revealed a significant positive impact of EMA on CEP, with GPI partially mediating this relationship. These insights are valuable for corporate policymakers aiming to improve environmental performance through the strategic implementation of EMA and GPI. Additionally, the study emphasizes the importance of EMA and GPI for managerial strategies, showing how these tools can enhance environmental performance. Overall, this research expands the understanding of EMA’s impact on CEP and recommends integrating EMA and GPI into managerial and policy efforts to address stakeholder sustainability concerns and retain competitive advantage. Full article

Motion and path planning are fundamental to intelligent robotic systems, enabling navigation. The objective is to generate collision-free trajectories in obstacle-rich configuration spaces (C-spaces) while meeting performance constraints. In environments with narrow passages planning becomes especially difficult, as feasible regions have low measure and are rarely reached by random sampling. Classical sampling-based planners are probabilistically complete but inefficient in such regions. Learning-based planners like MPNet offer fast inference but often produce infeasible paths in cluttered areas, requiring expensive postprocessing. To address this trade-off, we propose a hybrid framework that combines improved sampling, structural abstraction, and neural prediction. A modified bridge-test sampler applies directional perturbations and corridor checks to generate reliable narrow passage samples. These are clustered into a sparse set of representative bridge points, which serve as nodes in a global graph. At query time, a greedy heuristic search explores this graph, using a neural local segment generator to connect nodes. We validate the approach on 2D maze maps, 3D voxel environments, and a 12-DOF manipulator performing a plugging task inside a simulated nuclear steam generator. Across all tasks, our method significantly outperforms classical and learning-based baselines in terms of success rate and planning time in narrow-passage-dominated scenarios. The inclusion of the repair module, under relaxed assumptions, also allows the framework to retain a generalized form of probabilistic completeness. Full article

Mineral processing may decisively influence recycled aggregate (RA) production, yet it is systematically underreported. This critical review screened 338 Scopus-indexed publications (2004–2024) and retained 204 studies after eligibility assessment. Reporting on comminution was limited: ~52% (105 studies) of studies did not explicitly mention crushing, while ~26% (53 studies) identified the crusher type, and only about 1% (two articles) reported operating conditions, which undermines reproducibility and cross-study comparability. RA quality is application-/market-dependent. The literature was classified into cement-based materials (46.1%), pavement applications (44.6%), and fundamental studies without application (9.3%). For cement-based materials, water absorption and compressive strength were the most frequently reported primary and secondary properties, respectively. For pavement applications, particle-size distribution and optimum moisture content predominated. Overall, mineral processing directly governs the primary attributes of recycled aggregates (RAs) and indirectly influences their secondary performance outcomes. The main gap identified in the literature is the lack of clear recommendations for processing procedures, which limits the reproducibility and comparability of reported results. To address this limitation, this article proposes a mineral-processing framework intended to standardize both RA processing and reporting practices, thereby improving crosslink study comparability, experimental reproducibility, and evidence-based specification according to end-use requirements. Full article

This study assessed the structural stability and in vitro antioxidant capacity of a cosmetic formulation incorporating sangre de grado extract (Croton lechleri Muell) and vegetable oils from aguaje (Mauritia flexuosa L.f.), aguaymanto (Physalis peruviana L.), super sacha inchi (Plukenetia huayllabambana sp. nov.), and sacha inchi (Plukenetia volubilis L.), sourced from Peruvian biodiversity. Structural characterization was conducted using Attenuated total reflectance Fourier transform infrared spectroscopy (FTIR-ATR) on the formulation at the initial time point (ASC T0) and after six months under accelerated stability conditions (ASC T6). Characteristic absorption bands corresponding to carbonyl, ether, and hydroxyl functional groups were observed, confirming the structural integrity of the lipid–polymeric components within the emulsifying system. Antioxidant activity was evaluated using DPPH and ABTS assays, with IC₅₀ values comparable to those of a commercially available cream. In the DPPH assay, ASC T6 exhibited IC₅₀ of 5744.8571 μg/mL, comparable to a commercial formulation (5641.1585 μg/mL). In the ABTS assay, ASC T0 demonstrated antioxidant activity statistically equivalent (p > 0.05) to that of the commercial cream, with IC₅₀ values of 410.2358 and 420.2202 μg/mL, respectively. In conclusion, the preservation of antioxidant activity is attributed to the structural integrity of the formulated system, which stabilized and retained synergistic interactions of the antioxidants. Future studies should explore the incorporation of additional antioxidants and include in vivo instrumental assessments of stability and efficacy. Full article

Climate change is driven by global-scale warming, while cities additionally experience local amplification due to the urban heat island (UHI) effect (urban–rural temperature differences caused by urban form, materials, and reduced evapotranspiration). In this study, we address both dimensions by analyzing long-term near-surface climate variables and derived heat-exposure indicators for multiple South European cities and by translating climate signals into climate-suitability indicators for passive/evaporative cooling. In this study, heat-stress-relevant indicators and evaporative/adiabatic cooling opportunity across paired coastal and inland South European cities are quantified using long-term hourly reanalysis and scenario-based future projections. This paper compares coastal and inland city pairs from three regions: Nicosia and Limassol from Cyprus, Seville and Lisbon on the Iberian Peninsula, and Niš and Thessaloniki on the Balkans, to characterize recent heat stress and the prospective applications and limits of adiabatic cooling. ERA5/ERA5-Land variables from the Copernicus Climate Data Base, focusing on 2 m air temperature, 2 m dew point/relative humidity, and derived indicators: days above heat thresholds and “tropical nights”, were used to determine the differences between the local climate and compare severity of effects of global warming with respect to the specific climatic conditions of the chosen cities. Application of evaporative cooling was then tested with projections up to 2050 using Climate Consultant software, using regional temperature and humidity differences to explore comfort shifts and passive cooling applicability envelopes. Cross-city comparison of climate-suitability hours and cooling needs is included in the analysis. The novelty is a paired coastal–inland, multi-region South European design (Cyprus, Iberia, and Balkans) that combines long-term hourly reanalysis (1950–2025), scenario-based mid-century morphing, and a standardized psychrometric/adaptive-comfort framework to translate climate signals into comparable climate-suitability indicators for evaporative/adiabatic cooling across contrasting humidity regimes. The results provide planning direction by indicating that humid coastal cities should prioritize shading, reduced radiant load, ventilation/urban porosity and humidity-aware cooling, while hotter and drier inland cities retain a wider climatic window for evaporative cooling, subject to water-availability constraints. Full article

This paper addresses the consensus problem in multi-agent systems via a self-learning control scheme that directly reuses prior control information to accelerate transient coordination while maintaining robustness. I study agents with linear dynamics and external disturbances, and design a lightweight self-learning consensus control law for the distributed consensus domain, formulated as $u_i\left(t\right)=k_1{u}_i(t-\tau )+k_2{s}_i\left(t\right)$ with learning intensity $k_1$ and learning interval $\tau$. I provide a Lyapunov-based stability proof showing uniform ultimate boundedness of the consensus error under bounded disturbances. Compared to non-learning consensus laws, the proposed strategy achieves faster agreement with reduced long-term effort and retains simplicity suitable for resource-constrained multi-agent platforms, while also achieving decent performance against external disturbances. Simulations validate the improved transient speed and steady accuracy. The full-version-source code is open-sourced. Full article