Search Results (1,215)

Sedimentation is eroding the water security of reservoirs in hydrologically active basins: the Poechos reservoir (Peru) has lost 62% of its original 887.7 hm³ capacity in 48 years, yet its Elevation–Area–Volume (EAV) curve is refreshed only by bathymetric surveys at decade-plus intervals, compromising flood regulation and the water supply for over 100,000 ha of farmland. To close this gap, we propose an integrated, low-cost, fully reproducible framework that reconstructs the EAV curve from freely available satellite data: Sentinel-1 SAR (287 acquisitions, 2021–2026), PlanetScope imagery as ground truth (23 dates), and Surface Water and Ocean Topography (SWOT) altimetry (53 validated passes, 2023–2026). Water surfaces were delineated with a deep learning segmentation model (Feature Pyramid Network with an InceptionV4 encoder), selected among nine architecture–encoder combinations and calibrated to a 0.64 decision threshold, achieving a 90.66% Intersection over Union (IoU) and a 95.10% F1 score; a stochastic quantile mapping algorithm then asynchronously coupled the area and elevation series. The resulting EAV curve matched daily operational records from Peru’s National Water Authority (ANA) with high precision (NSE = 0.94, R² = 0.96, and RMSE = 25.93 hm³); the residual bias (BIAS = −11.23 hm³) reflects active sedimentation unaccounted for in the official curve. This bias peaked at an accumulated deficit of 24.5 hm³ during the 2023–2024 hydrological year (3.5 hm³/year), of which up to 19.6 hm³ is attributed to the 2023 Yaku cyclone as a phenomenologically scaled upper-bound estimate (9.8–19.6 hm³ across 40–80% attribution fractions), since SWOT was not yet operational during the event. Updating every 21 days under any weather and requiring no new field campaigns beyond the baseline bathymetric anchor, the trained ensemble was further transferred zero-shot to three additional reservoirs (San Lorenzo, Tinajones, and Gallito Ciego), demonstrating a scalable path from infrequent static assessments to near-continuous, dynamic monitoring of water storage. Full article

Background: CAD/CAM dental ceramics are widely used for indirect restorations because of their favorable esthetic properties, biocompatibility, and mechanical performance. However, long-term exposure to thermal fluctuations, moisture, and cyclic loading may compromise their structural integrity. This systematic review and meta-analysis evaluated the effect of artificial aging protocols on the mechanical properties of CAD/CAM dental ceramics. Methods: A systematic search was conducted in PubMed, Embase, Scopus, Web of Science, LILACS, Google Scholar, and ProQuest from inception to June 2026. In vitro studies evaluating CAD/CAM ceramics subjected to thermocycling and/or artificial aging protocols were included. The primary outcomes were flexural strength and fracture resistance. Random-effects meta-analyses were performed using standardized mean differences (SMDs) or pooled means with 95% confidence intervals (CIs). Subgroup analyses were conducted according to ceramic category, and sensitivity analyses were performed using a leave-one-out approach. Results: Five studies comprising 16 independent comparisons were included in the flexural strength meta-analysis, while five studies contributed 11 comparisons to the fracture resistance analysis. Artificial aging protocols significantly reduced the flexural strength of CAD/CAM ceramics (SMD = −1.68; 95% CI: −2.28 to −1.08; p < 0.00001). The greatest reduction was observed in zirconia-based ceramics (SMD = −3.31), followed by hybrid/PICN ceramics (SMD = −1.37) and lithium disilicate/lithium silicate ceramics (SMD = −1.25). Feldspathic and glass-based ceramics showed no significant reduction. The pooled fracture resistance after aging was 1312.85 N (95% CI: 1131.59–1494.10 N), indicating that most CAD/CAM ceramics maintained clinically relevant fracture resistance despite aging. Conclusions: Artificial aging protocols adversely affect the flexural strength of CAD/CAM dental ceramics, particularly zirconia-based materials. Nevertheless, fracture resistance generally remains within clinically acceptable ranges. Material composition plays a critical role in determining susceptibility to aging-related degradation, highlighting the importance of ceramic selection for long-term restorative performance. Full article

Bioenergy development from biomass resources requires multi-criteria decision-making (MCDM) methods to rank and select suitable feedstock alternatives. Conventional TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a widely used MCDM method that assists in selecting alternatives based on their relative closeness to the ideal solution. Unlike the existing TOPSIS, which provides only an overall ranking of alternatives, this study proposes a framework that integrates TOPSIS ranking with threshold-based performance classification and mapping to enable a more comprehensive assessment and support decision-making, thereby improving the interpretability of complex multi-criteria decision problems. The proposed framework was applied to evaluate, rank, and select eight potential biomass feedstocks in Ethiopia by integrating feedstock availability, technological readiness, and economic criteria. The ranking results indicate that molasses is the most suitable, followed by non-edible oil crops (castor seed, Ethiopian mustard, and Jatropha curcas) and lignocellulosic residues (cereal, cane, and coffee residues), while water hyacinth ranked lowest. The results were mapped into a strategic implementation timeline, with molasses prioritized for the short term, non-edible oil crops for the medium term, and lignocellulosic residues for the long term in Ethiopia’s bioenergy development. The study further supports decision-makers in strategic energy planning and facilitates bioenergy development. Full article

This study provides the first nationwide assessment of the apiculture sector in Lebanon. It integrates socio-economic characteristics, technical practices, and disease and pest prevalence and management. A structured questionnaire was administered to 5775 beekeepers representing 91.1% of the registered population across all Lebanese governorates. The sector is predominantly small-scale, male-dominated, with low cooperative participation, limited product diversification and heterogeneous management practices. Honey is the main product, while other hive products remain marginal. Queen replacement practices are inconsistent, and most beekeepers reported limited awareness of pests and diseases. The most recognized threat is Varroa; however, multiple stressors such as pesticides, poor nutrition, and climate variability contribute to colony health constraints. Chi-square analyses revealed statistically significant associations between disease occurrence and geographic and socio-economic variables (χ² = 129.99–2251.78, df 12–30, p < 0.001), with small to moderate effect sizes (Cramer’s V = 0.08–0.37), reflecting the multifactorial nature of colony health determinants. Overall, Lebanese apiculture demonstrates strong ecological potential but limited technical and organizational optimization. Strengthening extension services, improving disease diagnostics, and promoting diversification are critical to enhance sector sustainability. Full article

For hydrological parameterization in high-Andean catchments, it is necessary to understand whether near-surface hydro-structural soil properties can provide a surrogate signal of particle-size composition when direct texture information is sparse. This study evaluated the extent to which sand, silt, and clay fractions can be approximated from organic matter ($\mathrm{OM}$), bulk density (${\rho }_b$), and saturated hydraulic conductivity ($K_{\mathrm{sat}}$) in the Zamora Huayco (ZH) and Irquis catchments, southern Ecuador. A harmonized dataset ($n=44$) was analyzed through exploratory statistics, compositional assessment, correlation analysis, PCA, fraction-wise regression, $\mathrm{ILR}$-based modeling, AIC/BIC term reduction, sensitivity analysis excluding $\mathrm{OM}$, nested $\mathrm{LOOCV}$, and bootstrap-based uncertainty intervals. Among LULC classes, samples classified as paramo occupied a distinct high-Andean hydro-edaphic domain, characterized by a differentiated relationship between soil physical properties and hydrological behavior. PCA showed that the dominant covariance structure involved $\mathrm{OM}$, ${\rho }_b$, $K_{\mathrm{sat}}$, and the redistribution between sand and silt. The BIC-reduced $\mathrm{ILR}$ model provided the most balanced formulation, with positive nested $\mathrm{LOOCV}$ performance for sand, silt, and clay ($R_{\mathrm{LOOCV}}^2=0.147$, $0.704$, and $0.124$, respectively) and exact $100\%$ compositional closure after inverse transformation. Silt was the most stable predicted fraction, whereas sand and clay retained larger residual uncertainty, stronger tail departures, and partial compression of the observed variability. The proposed equations provide local hydro-pedotransfer support, although their predictive signal remains dependent on further refinement, uncertainty assessment, and external validation before regional application. Full article

Root-knot nematodes of the genus Meloidogyne are among the most destructive endoparasitic nematodes due to their ability to infect a wide range of agriculturally important crops. In this context, nematode-trapping fungi have been widely recognized for their potential as biological control agents against plant-parasitic nematodes. In the present study, the nematode-trapping fungus Arthrobotrys thaumasius was isolated from roots soils of banana plants (Musa spp.) in the canton of Guayaquil, Guayas Province, Ecuador. Four strains were obtained and identified based on sequence analyses of molecular markers. In addition, the in vitro growth and sporulation of the isolates were evaluated, with cornmeal agar and oat agar proving to be the most suitable culture media. Three A. thaumasius isolates exhibited attraction and capture rates exceeding 65% against second-stage juveniles (J2) of Meloidogyne. This study represents the first report of the isolation and characterization of A. thaumasius in Ecuador and demonstrates that isolates HN-20, HN-21, and HN-24 have high potential as biological control agents, positioning them as promising candidates for the sustainable management of root-knot diseases caused by Meloidogyne spp. Full article

The rapid growth of global air traffic places the aviation industry under dual pressure: meeting increasing demand for aircraft while substantially reducing life-cycle environmental impacts. As advancements in aerodynamics, propulsion, and the adoption of lightweight composite materials continue to reduce operational fuel burn, the relative significance of manufacturing and End-of-Life phases is expected to increase. This study develops a low-fidelity aerostructural optimization framework for high aspect ratio wings that integrates life-cycle considerations into early-stage material selection. Using aluminum and carbon fiber reinforced polymers (CFRP) as reference materials, the framework quantifies trade-offs in mass savings, fuel burn, and CO₂ equivalent emissions across production, operations, and disposal phases. Results show that while CFRP offers substantial benefits in structural efficiency and operational emissions, aluminum performs more favorably in End-of-Life scenarios due to its high recyclability. The study further evaluates the potential of Sustainable Aviation Fuel (SAF) blending as a complementary decarbonization lever, revealing that moderate SAF adoption can offset part of the operational advantage of CFRP. Overall, this work demonstrates the importance of coupling material choice with life-cycle assessment in aerostructural design and outlines a pathway toward multi-objective optimization frameworks that balance performance with environmental sustainability. Full article

As the aviation industry explores sustainable solutions for next-generation aircraft, the strut-braced wing (SBW) concept has emerged as a promising configuration, combining the enhanced aerodynamic efficiency of high-aspect-ratio (HAR) wings with a significant reduction in wing structural weight compared to conventional cantilever designs. Given the inherent aerodynamics and structural complexities of SBW concepts, developing innovative design methodologies is essential for fully investigating their potential. This work presents a low-fidelity, two-fold design methodology combining an overall aircraft design framework with finite element structural analysis. The approach enables overall aircraft design (OAD) sizing, exploration, and optimization of regional strut-braced wing configurations and assessing the effects of strut connections and jury on the wing’s static and buckling behavior. Trade-off and optimization studies based on the reference ATR-72 aircraft led to an optimal SBW configuration with an aspect ratio of 17.64 and a strut position ratio of 0.543, achieving reductions of about 24% in wing weight and 6.78% in fuel burn. The structural analysis of the optimized SBW indicates that a clamped–clamped strut connection provides superior buckling performance, and incorporating a jury strut effectively mitigates buckling issues while achieving approximately 20% wing weight reduction compared to the configuration without a jury. Full article

In the context of reducing air transport emissions, operational costs and transitioning to more electric aircraft, there is a growing need to develop new ice protection systems. Resonant electromechanical de-icing (EM-DI) systems take advantage of the resonance to amplify vibration amplitudes applied through piezoelectric actuators, generating stress in the ice layer, enabling its removal. Research conducted on such systems has been focused on simplified or reduced models, and assessment of aircraft-level requirements has seldom been conducted. To overcome this shortcoming, this work proposes a pre-sizing methodology to evaluate the requirements (power consumption and piezoelectric mass) of EM-DI systems. After dividing the protected area into modules to cycle the aircraft de-icing, finite element models including the ice and the modules’ structure are developed. A modal analysis is performed to identify the extensional resonance modes that enable de-icing, and to calculate the necessary power and piezoelectric mass based on shedding criteria. The methodology is illustrated for two typical aircraft configurations: a jet engine single-aisle aircraft (SA) and a regional turboprop aircraft (TP). The results obtained for the EM-DI technology are promising, with apparent power estimates of as little as $2.7\mathrm{kVA}/{\mathrm{m}}^2$ for the SA and $1.28\mathrm{kVA}/{\mathrm{m}}^2$ for the TP. Full article

Flood monitoring in dry tropical basins, such as the Tumbes River (Peru), faces critical challenges due to persistent cloud cover that restricts the operability of optical sensors during extreme events, coupled with the operational gap between satellite products and conventional hydrological monitoring. To overcome these limitations, this research developed a comprehensive methodological framework in Google Earth Engine that unifies automated image thresholding and Sentinel-1 SAR time series analysis for flood detection and the estimation of early warning thresholds. The Bmax Otsu and Edge Otsu algorithms were evaluated, previously calibrated using high-resolution imagery (PlanetScope) as reference data, topographically constrained by the HAND (Height Above the Nearest Drainage) model, and validated against established change detection algorithms. The analysis of seven hydrological events between 2017 and 2024 confirmed the statistical superiority of Bmax Otsu; although both methods achieved high overall accuracy (Bmax 95.8% versus Edge 95.7%), Bmax Otsu outperformed Edge Otsu in spatial consistency (Kappa 66.1% vs. 63.7%; IoU 45.6% vs. 45.0%). Based on this, a time series analysis was applied to discriminate permanent water bodies and isolate flood dynamics. Subsequently, the functional discharge–impact response was evaluated by linking the instantaneous flood extent captured by the SAR overpasses to their corresponding peak discharges. Validated against official INDECI damage reports, it was determined that significant impacts begin at an activation threshold of 743.49 m³/s (151 flooded ha, 157 affected inhabitants) and scale linearly up to extreme peak events of 1629.02 m³/s, compromising 1234 agricultural ha and 749 inhabitants. This methodology provides a validated, low-cost tool to translate SAR observations into critical thresholds for early warning systems in data-scarce regions. Full article

The demands of competitiveness in global markets require the integration of Industry 4.0 (I4.0) digital technologies for any manufacturing company, regardless of size. Industrial operations require complete supply chain visibility to ensure data protection and authenticity throughout the process. This document presents a distributed architecture based on RAMI 4.0, designed for product traceability in industrial environments. It integrates automation tools, IIoT communication, cloud storage, artificial intelligence, and secure data transmission using encrypted communication protocols. The system consists of a hybrid architecture; only the first, lower-level layer corresponds to a simulated manufacturing plant with deterministic and stochastic dynamics within the production line. In the second part, the middle and upper layers are implemented, where plant data is transmitted to a cloud instance, stored in a PostgreSQL database, and subsequently analyzed using automated scripts. Reporting capabilities are incorporated with ChatGPT-3.5 Turbo, and visualization is provided through Odoo. Experimental tests demonstrated an average end-to-end communication latency of less than 200 ms, a packet loss rate of 2.67%, and 100% reliability in verifying requested reports when using the cognitive computing service. Furthermore, the results of the systematic vulnerability identification process for the architecture show a significant reduction in overall risk for most assets, with a predominant shift from high or moderate to low or moderate. The proposed architecture is validated in a simulated industrial environment under controlled conditions, demonstrating its viability as a prototype rather than as a fully implemented industrial solution. Full article

Resonant electromechanical de-icing uses piezoelectric actuators to generate stresses high enough to fracture and shed ice, offering an energy-efficient alternative to conventional systems. This work focuses on prestressed piezoelectric actuators composed of a ceramic stack clamped between two brackets, addressing limitations of previous designs such as mechanical losses and screw fatigue. A new architecture is proposed, featuring a variable-cross-section screw that concentrates deformation in a thinned central region and brackets bonded to the structure to reduce losses. An analytical sizing method is developed using multi-beam longitudinal vibration modelling and two de-icing criteria, including a newly introduced one. The analysis shows how actuator geometry and modal shapes influence de-icing performance, required voltage, and mechanical stresses, highlighting key trade-offs. A dedicated prototype is designed and experimentally tested, with results in good agreement with the analytical predictions. Full article

Antarctica’s extreme cryospheric conditions impose severe thermodynamic constraints on the natural attenuation of hydrocarbon pollutants. Despite the Antarctic Treaty System’s protections, the footprint of human logistics has left persistent reservoirs of petroleum hydrocarbons that threaten endemic biodiversity. This review critically synthesizes the state-of-the-art in Antarctic bioremediation, moving beyond traditional culture-dependent studies to integrate recent multi-omics breakthroughs (2020–2025). We analyze the molecular mechanisms limiting bioavailability in frozen soils and highlight the adaptive strategies of psychrophilic consortia, including the modification of membrane fluidity and the expression of cold-active enzymes (e.g., RHDs, AlkB). Notably, we discuss emerging findings on novel long-chain alkane degradation genes (almA, ladA) identified in 2025, which challenge previous assumptions about recalcitrance. Furthermore, the review evaluates the engineering bottlenecks of in situ versus ex situ strategies, emphasizing the synergistic potential of bacterial–fungal co-cultures and the ecological necessity of “climate-smart” remediation to mitigate methane emissions from thawing permafrost. By bridging the gap between fundamental microbial genetics and applied field engineering, we propose a roadmap for the next generation of biotechnological solutions in the warming polar environment. Full article

The urban heat island effect is strongly linked to the use of dense mineral pavements with high thermal inertia and lacking passive heat dissipation mechanisms. This article evaluates the potential of evaporatively cooled concrete pavers, based on capillary action and evaporation by incorporating recycled, bio-based, and lightweight materials to develop functional porosity. Ten paver formulations were developed using natural or recycled sand, hemp fibers and shives, and lightweight aggregates. Compressive strength, density, capillary absorption, and thermal behavior were characterized. Tests were conducted outdoors in full sunlight over 48 h in comparison with reference urban materials. The results show that capillary action alone is insufficient to induce effective cooling. The raw recycled sand formulation exhibits high capillary absorption but reaches maximum temperatures of 43–44 °C, which may be due to its low interconnected porosity that limits evaporation. Conversely, formulations incorporating bio-based materials or lightweight aggregates showed a more favorable balance between water availability, reduced density, and surface cooling performance. Hemp-based pavers reach maximum temperatures of 38–40 °C, while those incorporating expanded clay range between 37 and 39 °C, representing a reduction of 7 to 13 °C compared to bitumen and maintaining mechanical strengths suitable for pedestrian use. The results suggest that effective evaporative cooling is associated with sufficient capillary absorption, efficient water transfer toward the surface, and moderate density limiting heat storage. This study demonstrates that high capillary absorption alone does not ensure effective evaporative cooling. By systematically comparing recycled, bio-based and lightweight aggregates, the results reveal that evaporative cooling efficiency probably depends on the functional connectivity of the pore network and on a moderate material density limiting heat storage. Full article

The DIGIT experiment was launched at the Tournemire Underground Research Laboratory (URL) with the aim of determining the effects of temperature on the transfer of tracers mimicking the most mobile radionuclides in the Toarcian clay rock. The properties of this rock are similar to those of the host rocks being considered for a future deep geological repository for high-level radioactive waste (HLW). The experiment involves the monitoring of the interaction between a test water doped with stable halides and deuterium at constant concentration, and the porewater of the Toarcian clay rock under constant ambient conditions, as well as at higher temperature induced by artificial heating. This experiment seeks to partially address questions regarding the potential spread of contaminants during the thermal phase of HL waste packages. Specifically, the in situ experiment aims to evaluate the role of scale effects, thermodiffusion, a process that combines Fick’s law, the Soret effect, and convection in the transfer of radionuclides. This paper is the second part of a companion paper dedicated to predictive calculations and the installation of the experimental device. It presents the main experimental and modeling results obtained since the beginning of the installation and after 20 months of heat at 70 °C. The test was carried out in five phases, finishing with a sampling campaign: a phase 0 called “initial conditions”, followed by a pure diffusion phase (5 months), then three phases in a heated period lasting 1 year and 8 months. In total, 47 rock cores were analyzed, with approximately 170 samples tested by four diffusion methods (radial, outgoing, through and in vapor-phase) to determine the tracer concentrations in the porewater, their water content and their diffusive transport parameters. The results show a decrease in tracer concentrations with distance from the test zone, in the directions parallel and perpendicular to the stratification. The anisotropy of the medium results in greater migration in the direction parallel to the stratification. Thermal properties also confirm anisotropy with a higher thermal conductivity in the direction parallel to the stratification. Finally, an activation energy of 22.9 ± 1.7 kJ·mol⁻¹ could be proposed by NMR for deuterium, indicating diffusion behavior following an Arrhenius law between 30 and 70 °C. The experimental data allowed for the calibration of a 2D axisymmetric numerical model using the commercial finite element software COMSOL Multiphysics^®. The Fick’s law corrected by an Arrhenius law best reproduces the penetration of deuterium and anions. The Soret effect, integrated into certain scenarios, is only significant for anions’ migration, using a fitted Soret coefficient of 0.1 K⁻¹, as proposed in the literature for the Callovo-Oxfordian, the host rock of the Cigéo project in the east of France. The calibration of the simulated data with the experimental data allowed for the characterization of damaged and/or disturbed zones evolving over time. Simulations over 150 years, the duration of the thermal maximum for HLW packages, show that advection—modeled by Darcy’s law—would have a negligible role in this context due to the low permeability of the upper Toarcian. In conclusion, the DIGIT test showed that, for the Upper Toarcian clay rocks at the Tournemire URL in France, diffusion, corrected for the effect of temperature, is the mechanism that characterizes the transport of radionuclide analogues. The study showed that thermodiffusion has a limited influence on deuterium migration but remains significant for anions in the case of a coupling between temperature correction and thermodiffusion. The test also highlighted the impact of temperature on the spatiotemporal development of a damaged and/or disturbed zone. These new and relevant results in the field will need to be confirmed later through additional experiments. Full article