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20 pages, 4504 KB  
Article
Vertical Distribution of Butterfly Community (Lepidoptera) and Its Drivers on Mount Gongga, Western China
by Zhuoyuan Wang, Shanyong He, Lei Bai, Zhaolong Wang, Jie Zhang and Xiushan Li
Insects 2026, 17(9), 890; https://doi.org/10.3390/insects17090890 - 25 Aug 2026
Abstract
Butterfly elevational distribution patterns are modulated by temperature stratification, vegetation composition, butterfly functional traits, and anthropogenic disturbances. To explore the elevational patterns of butterfly α- and β-diversity and their driving mechanisms on Mount Gongga, we established 18 standardized 1000 m transects at 200 [...] Read more.
Butterfly elevational distribution patterns are modulated by temperature stratification, vegetation composition, butterfly functional traits, and anthropogenic disturbances. To explore the elevational patterns of butterfly α- and β-diversity and their driving mechanisms on Mount Gongga, we established 18 standardized 1000 m transects at 200 m intervals across an elevational range of 1000–4500 m. Butterfly species richness and abundance were systematically surveyed using the line-transect method. The results indicated that both butterfly species richness and abundance significantly decreased with increasing elevation. Notably, butterfly β-diversity exhibited a distinctive nonlinear trimodal pattern along the elevational gradient, with three peak values occurring at 1900–2300 m, 3500–3900 m, and 4300–4500 m. This pattern differs substantially from the monotonically decreasing or unimodal β-diversity trends widely reported for most mountain insect communities. Vegetation ecotone effects, habitat heterogeneity differentiation, elevational species turnover, and topographic microclimate heterogeneity collectively drive this unique distribution pattern. Based on these findings, we propose targeted conservation recommendations: (1) prioritize the protection of key vegetation transition zones; (2) sustain vegetation integrity to guarantee sufficient food and habitat resources for butterflies; (3) address climate change threats to conserve high-elevation endemic butterfly species; (4) develop long-term monitoring programs to improve regional biodiversity conservation systems. Full article
(This article belongs to the Special Issue Global and Regional Patterns of Insect Biodiversity)
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42 pages, 6357 KB  
Review
Machine Learning for Structural Steels: Materials Design, Property Prediction, Durability, and Future Directions
by Guomin Wei, Minghe Li, Bo Cui, Wencui Xiu and Asmawan Mohd Sarman
Materials 2026, 19(17), 3612; https://doi.org/10.3390/ma19173612 - 25 Aug 2026
Abstract
Machine learning (ML) provides new opportunities to model the nonlinear relationships among composition, processing, microstructure, defects, properties, and in-service degradation of structural steels. This structured critical review examines ML applications to materials and process design, microstructural characterization, mechanical-property prediction, corrosion, fire and elevated-temperature [...] Read more.
Machine learning (ML) provides new opportunities to model the nonlinear relationships among composition, processing, microstructure, defects, properties, and in-service degradation of structural steels. This structured critical review examines ML applications to materials and process design, microstructural characterization, mechanical-property prediction, corrosion, fire and elevated-temperature performance, fatigue, fracture, and remaining-life assessment. Literature published up to 31 July 2026 was searched primarily through the Web of Science Core Collection and Scopus. A total of 110 publications were retained based on their relevance to structural steels, transparency of data and modeling procedures, and availability of information on validation or engineering applicability. The reviewed studies show that model suitability depends strongly on data modality, sample independence, feature representation, and validation strategy rather than on algorithm family alone. ML has progressed from property prediction toward process optimization, inverse materials design, environmental degradation assessment, and fatigue- and crack-related prognostics. However, independent cross-manufacturer, cross-laboratory, production-scale, and field validation remains limited, while uncertainty quantification and applicability-domain assessment are still inconsistently reported. These limitations are particularly important for corrosion, fire, fatigue, and remaining-life applications, where internally validated models should not be interpreted as substitutes for established physical models or design provisions. Future research should prioritize standardized multimodal data, physics-informed and uncertainty-aware modeling, prospective validation, and rigorously evaluated closed-loop monitoring and digital-twin frameworks for structural-steel life-cycle management. Full article
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32 pages, 27011 KB  
Article
Spatial Morphological Patterns of Mountain Sandy Patches and Their Correlated Environmental Predictors: A Case Study of the Sarbulak River Basin
by Ying Song, Kailing Huang and Fengbing Lai
Sustainability 2026, 18(17), 8649; https://doi.org/10.3390/su18178649 - 24 Aug 2026
Abstract
Mountain sandy patches are typical indicators of aeolian degradation in arid and semi-arid zones; however, few studies have systematically analyzed their static spatial morphological features and statistical correlations with environmental variables. Taking the Sarbulak River Basin in the Ili River Valley of Xinjiang [...] Read more.
Mountain sandy patches are typical indicators of aeolian degradation in arid and semi-arid zones; however, few studies have systematically analyzed their static spatial morphological features and statistical correlations with environmental variables. Taking the Sarbulak River Basin in the Ili River Valley of Xinjiang as the study area, this study extracts multiple morphological metrics of mountain sandy patches from high-resolution UAV orthophotos and adopts the XGBoost-SHAP framework combined with correlation analysis to quantitatively analyze patch morphological traits and their statistical links with environmental predictors. The main results are as follows: (1) Elongated geometry dominates mountain sandy patches with diverse auxiliary shapes, and the average major axis of all patches reaches 16 m. Every pair of morphological indicators shows significant positive correlations at p < 0.01 level. (2) The model’s relative predictive importance varies markedly across predictors. Wind speed ranks first with a normalized SHAP contribution of 34.7%, followed by precipitation (18.7%), NDVI (13.0%), and grazing intensity (9.0%). The four predictors jointly account for over 75% of total predictive signals and constitute a wind–water–vegetation–grazing statistical association system. All predictors show obvious nonlinear responses to mountain sandy patch occurrence with distinct statistical thresholds. (3) Strong combined statistical correlations exist between wind speed, precipitation, NDVI, temperature, elevation, and grazing intensity, and multi-variable combinations correspond to a higher probability of large-scale sandy patches. This paper summarizes key threshold intervals derived from SHAP dependence curves: patches tend to expand when wind speed ranges from 2.10 to 2.15 m/s; precipitation below 219.7 mm presents negative correlations with patch distribution; NDVI within 0.17–0.29 corresponds to positive marginal associations with sandy patch occurrence; grazing intensity exceeding 3.60 SU/ha matches frequent patch enlargement; and areas above 645.9 m elevation display higher patch prevalence. Full article
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19 pages, 3650 KB  
Article
Dual-Function Nitrogen Modification of Phenolic Resin Pyrolytic Carbon: A g-C3N4 Protective Phase and Skeletal Nitrogen Doping for Enhanced Oxidation Resistance
by Pengcheng Jiang, Huidong Tang, Xin Xiong, Wenting Wang, Kang Long, Zhiwen Li, Yongming Kang, Xinwei Ou and Zhi Wu
Materials 2026, 19(17), 3585; https://doi.org/10.3390/ma19173585 - 24 Aug 2026
Abstract
Phenolic resin pyrolytic carbon is a key matrix phase in carbon-based refractories and carbon/carbon composites; however, its defect-rich glassy carbon structure exhibits poor oxidation resistance at elevated temperatures. In this work, we report a facile one-step thermal-treatment strategy using melamine as a nitrogen [...] Read more.
Phenolic resin pyrolytic carbon is a key matrix phase in carbon-based refractories and carbon/carbon composites; however, its defect-rich glassy carbon structure exhibits poor oxidation resistance at elevated temperatures. In this work, we report a facile one-step thermal-treatment strategy using melamine as a nitrogen source to prepare nitrogen-modified phenolic resin pyrolytic carbon (NC). The structural evolution and oxidation behavior of samples carbonized at 500–800 °C were systematically investigated by XRD, SEM, TEM, FT-IR, Raman, XPS, BET, and TG-DSC. The results reveal that melamine-derived nitrogen exists in two distinct forms: at 500–700 °C, a carbon nitride-rich phase consistent with graphitic carbon nitride (g-C3N4) forms sheet- and belt-like structures on the carbon surface and partially fills the internal pores; at 800 °C, its long-range crystalline signature disappears, while pyridinic, pyrrolic, and graphitic nitrogen remain in the carbon framework. From 500 to 800 °C, the relative N 1s fraction of pyridinic N decreases from 72.33% to 44.38%, whereas graphitic N increases from 0.47% to 24.09%. Meanwhile, the pore structure evolves from a mesopore-dominated architecture with a limited accessible surface area at 500–600 °C to a micropore-rich structure at 700–800 °C. Relative to unmodified PR-800, NC-800 exhibits an approximately 30 °C higher onset oxidation temperature and an approximately 40 °C higher complete oxidation temperature, together with a lower maximum mass-loss rate and a delayed, broadened exothermic response. These results show that melamine-derived pore regulation and skeletal nitrogen doping jointly retard oxygen transport and suppress oxidation-active defect sites, providing a simple and potentially scalable route for improving the high-temperature oxidation resistance of phenolic resin pyrolytic carbon. Full article
(This article belongs to the Topic Advances in Carbon-Based Materials)
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18 pages, 8767 KB  
Article
Preparation and Properties of CMC-Based Composite Gel as a Flame-Retardant Dust Suppressant
by Jianguo Wang, Zhenzhen Zhang, Xinni He and Binyuan Gao
Gels 2026, 12(9), 755; https://doi.org/10.3390/gels12090755 - 24 Aug 2026
Abstract
To address the challenge of balancing flame retardancy and dust suppression in conventional coal mine treatment materials, a multi-component synergistic flame-retardant dust-suppressant gel was fabricated using carboxymethyl cellulose (CMC) as the matrix, compounded with ammonium polyphosphate (APP), zinc borate (ZB), and polycarbodiimide (PCDI) [...] Read more.
To address the challenge of balancing flame retardancy and dust suppression in conventional coal mine treatment materials, a multi-component synergistic flame-retardant dust-suppressant gel was fabricated using carboxymethyl cellulose (CMC) as the matrix, compounded with ammonium polyphosphate (APP), zinc borate (ZB), and polycarbodiimide (PCDI) as a cross-linking agent. The optimal formulation was determined via orthogonal experimental design combined with performance characterization, yielding a composition of 1 wt% CMC, 8 wt% APP, 2 wt% ZB, and 0.5 wt% PCDI. Systematic evaluations—including wettability tests, thermogravimetric analysis, and fire-extinguishing trials—demonstrated that the resultant CMC-based composite gel exhibits excellent structural stability and environmental tolerance. Specifically, the contact angle on the coal surface decreased sharply from 72.8° to 17.2°, and the mass loss rate after 30 min of wind erosion was merely 4.16%. Treatment with the gel elevated the critical temperature of the coal–oxygen reaction from 70 °C to 80 °C and reduced CO emissions by 40% at 170 °C. Furthermore, the temperatures corresponding to the maximum weight loss rate, ignition, and burnout increased by 12.9 °C, 16.8 °C, and 28.9 °C, respectively. Fire suppression tests revealed that the gel rapidly cools high-temperature coal seams and effectively prevents reignition. Mechanistic investigations indicate that the CMC-PCDI cross-linked network synergizes with the APP-ZB phosphorus–boron flame-retardant system: the three-dimensional gel architecture provides physical encapsulation and water retention, while the intumescent char layer formed by APP-ZB offers efficient oxygen barrier protection. This study provides a reliable gel-based technical solution for the integrated prevention and control of coal dust pollution and spontaneous combustion disasters in underground mines. Full article
(This article belongs to the Special Issue Gels for Energy Applications)
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15 pages, 3715 KB  
Article
Transcriptomic Analysis Reveals the Molecular Mechanisms Underlying Heat-Induced Suppression of Polymethoxyflavone Accumulation in Citrus Leaves
by Xiaojuan Liu, Zhenkun Liao, Honglu Hu, Chenwen Zhou, Dengliang Wang, Lili Liu, Yue Wang and Chongde Sun
Horticulturae 2026, 12(9), 1053; https://doi.org/10.3390/horticulturae12091053 - 23 Aug 2026
Abstract
High-temperature stress impairs plant growth and alters secondary metabolism. Polymethoxyflavones (PMFs) are citrus-specific flavonoids with important nutritional benefits; however, their transcriptional responses to heat stress remain poorly understood. Here, five-month-old ‘Ponkan’ citrus seedlings were exposed to 40 °C for 6, 11, and 21 [...] Read more.
High-temperature stress impairs plant growth and alters secondary metabolism. Polymethoxyflavones (PMFs) are citrus-specific flavonoids with important nutritional benefits; however, their transcriptional responses to heat stress remain poorly understood. Here, five-month-old ‘Ponkan’ citrus seedlings were exposed to 40 °C for 6, 11, and 21 days. HPLC analysis showed that the accumulation of four major PMFs (sinensetin, nobiletin, tangeretin, and 5-demethylnobiletin) was significantly reduced in leaves under heat stress. RNA-seq identified 3424 differentially expressed genes shared across all three time points, which were enriched in pathways associated with microtubule cytoskeleton organization, cell cycle regulation, and glyoxylate and dicarboxylate metabolism. Further analysis of the PMF biosynthetic pathway revealed that 14 of 18 key structural genes, including CHS, CHI, FNSII, and OMT family members, were downregulated by heat treatment. In addition, several bHLH, AP2/EREBP, and MYB transcription factors, known regulators of flavonoid biosynthesis, exhibited expression patterns closely associated with PMF accumulation. RT-qPCR analysis validated the transcriptome results. Collectively, these findings suggest that heat stress suppresses PMF accumulation through coordinated repression of PMF biosynthetic genes and their potential regulators. This study provides new insights into the molecular basis of heat-responsive PMF metabolism and offers potential targets for maintaining citrus nutritional quality under elevated temperatures. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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16 pages, 3777 KB  
Article
In Situ Reduction-Generated Ag0 Plasmonic Sites on Ti3C2/Ag2NCN Schottky Heterojunctions for Efficient Photocatalytic Tetracycline Degradation
by Haidong Yu, Hua Deng, Jincheng Wang, Xiaohe Sun, Jingyu Liu, Ping Qu and Jie Wu
Molecules 2026, 31(17), 2955; https://doi.org/10.3390/molecules31172955 - 23 Aug 2026
Abstract
Constructing Schottky heterojunctions with plasmonic components offers a promising route to enhance photocatalytic performance, yet the synergistic roles of the Schottky barrier and localized surface plasmon resonance (LSPR) in pollutant degradation remain insufficiently elucidated. Herein, a series of Ti3C2/Ag-Ag [...] Read more.
Constructing Schottky heterojunctions with plasmonic components offers a promising route to enhance photocatalytic performance, yet the synergistic roles of the Schottky barrier and localized surface plasmon resonance (LSPR) in pollutant degradation remain insufficiently elucidated. Herein, a series of Ti3C2/Ag-Ag2NCN (TAN) composites with varied Ag loadings was prepared via an in situ precipitation–chemical reduction method. The pseudo-first-order rate constant of the TAN-30 heterojunction reached roughly 7.0 times the value of bare Ag2NCN, while its tetracycline degradation efficiency under visible light reached 87.0% at 240 min. Moreover, the heterojunction exhibited outstanding reusability over five successive runs. Comprehensive characterizations reveal that the Schottky barrier at the Ti3C2/Ag2NCN interface effectively suppresses photogenerated carrier recombination, while the LSPR effect of metallic Ag0 broadens the light absorption range and elevates the local surface temperature, synergistically accelerating charge migration. The dominance of h+ and •O2 among the reactive species was established by both radical trapping assays and ESR spectroscopic analysis. This work provides mechanistic insights into LSPR-enhanced Schottky heterojunctions and offers a rational design strategy for MXene-based photocatalysts toward efficient antibiotic wastewater treatment. Full article
(This article belongs to the Special Issue Innovative Nanostructures for Energy and Environmental Applications)
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26 pages, 3071 KB  
Article
Physics-Informed Simulation and Time-Series Classification of Ground-Based Infrared Radiant-Intensity Sequences for Space Objects
by Yubo Wang, Shijun Song, Chun Jiang, Qiyang Gui, Tao Chen, Shuai Wang and Zhengwei Li
Sensors 2026, 26(17), 5335; https://doi.org/10.3390/s26175335 - 23 Aug 2026
Abstract
Under ground-based observation geometry, infrared radiant-intensity sequences of space objects are jointly influenced by object micromotion, thermal radiation, time-varying viewing conditions, and atmospheric propagation. Existing simulation studies often prescribe the line of sight or simplify the coupling between viewing geometry and atmospheric attenuation, [...] Read more.
Under ground-based observation geometry, infrared radiant-intensity sequences of space objects are jointly influenced by object micromotion, thermal radiation, time-varying viewing conditions, and atmospheric propagation. Existing simulation studies often prescribe the line of sight or simplify the coupling between viewing geometry and atmospheric attenuation, which limits long-duration ground-based sequence analysis. This study develops a physics-informed framework for generating atmosphere-attenuated infrared radiant-intensity sequences of space objects undergoing precession or tumbling. The framework reconstructs observation geometry from azimuth–elevation–range trajectories, updates facet normals through a unified micromotion attitude model, computes visible projected area and transient facet temperature, and incorporates MODTRAN-derived elevation-dependent atmospheric transmittance. Using this framework, we construct IRPeriodic, an eight-class simulated dataset for long-duration univariate time-series classification. We further propose LPD-Net, which integrates large-kernel residual feature extraction, prototype-guided dynamic temporal alignment, and differential periodic representation to capture long-range waveform morphology, sample-dependent temporal correspondence, and segment-level local variation. On IRPeriodic, LPD-Net achieves an accuracy of 0.8618 ± 0.0057, a macro-F1 of 0.8615 ± 0.0061, and a Matthews correlation coefficient of 0.8426 ± 0.0065, outperforming the evaluated neural-network and ROCKET-type baselines. Ablation and synthetic-noise sensitivity analyses indicate that the performance gain is mainly associated with long-context feature extraction, with additional improvements from dynamic alignment and differential periodic statistics. Auxiliary experiments on selected public UCR datasets suggest that the representation is also competitive for univariate time-series classification. These results demonstrate the effectiveness of LPD-Net on the proposed physics-informed benchmark for long-duration ground-based infrared radiant-intensity sequence classification. Full article
(This article belongs to the Section Remote Sensors)
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30 pages, 39166 KB  
Article
Orthogonal Test and Mesoscopic Numerical Simulation of Dynamic Compression Performance of Ultra-High Performance Concrete at Elevated Temperatures
by Qiushi Yan, Lianao Cao, Liang Li and Qingxuan Wang
Buildings 2026, 16(17), 3346; https://doi.org/10.3390/buildings16173346 - 22 Aug 2026
Abstract
To evaluate the influence of fiber content, temperature, and loading rate on the dynamic compression performance of ultra-high performance concrete (UHPC), orthogonal Split Hopkinson Pressure Bar (SHPB) tests were performed on 120 MPa UHPC specimens. Range analysis of the test data reveals that [...] Read more.
To evaluate the influence of fiber content, temperature, and loading rate on the dynamic compression performance of ultra-high performance concrete (UHPC), orthogonal Split Hopkinson Pressure Bar (SHPB) tests were performed on 120 MPa UHPC specimens. Range analysis of the test data reveals that the steel fiber content exerts the largest range on dynamic compressive strength, with loading rate ranking second and temperature having the least effect. A three-dimensional mesoscopic finite element model that accounts for temperature-dependent behavior was developed using a modified Karagozian & Case (K&C) constitutive model together with high-temperature bond–slip degradation curves. The simulated peak stresses are generally higher than the experimental values, with a Root Mean Square Error of 9.02 MPa, a Normalized Root Mean Square Error of 4.65%, and a maximum discrepancy of 10.07%, while the major experimental failure characteristics are reasonably reproduced. Additional numerical simulations indicate that the influence of steel-fiber content becomes increasingly temperature-dependent. Within the experimentally investigated range up to 300 °C, higher fiber content generally improves dynamic response and specimen integrity. At 600~800 °C, the numerical extrapolations suggest that the reinforcing efficiency of steel fibers may be substantially reduced under the assumed temperature-dependent degradation conditions. These high-temperature trends require further experimental validation. Full article
(This article belongs to the Special Issue Research on Building Structural Behavior Under Extreme Conditions)
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24 pages, 23593 KB  
Article
Physical and Elevated-Temperature Tensile Characterization of Surface-Modified BFRP/Al FMLs
by Cesar Alfonso Cortes-Tejada, Honorio Ortiz-Hernández, Marco Antonio García-Bernal, Gabriela Lourdes Rueda-Morales, Alexander Morales-Gómez, Hilario Hernández-Moreno, David Hernández-Silva and Antonio Mosqueda-Sánchez
J. Compos. Sci. 2026, 10(9), 443; https://doi.org/10.3390/jcs10090443 - 22 Aug 2026
Abstract
Out-of-autoclave (OoA) manufacturing of Fiber Metal Laminates (FMLs) remains challenging because their mechanical performance and failure mechanisms are sensitive to processing-induced variations in phase distribution and interfacial bonding quality. Three FML-2/1 configurations (FML/Al-20, FML/Al-40, and FML/Al-60), where the numerical values indicate the exposure [...] Read more.
Out-of-autoclave (OoA) manufacturing of Fiber Metal Laminates (FMLs) remains challenging because their mechanical performance and failure mechanisms are sensitive to processing-induced variations in phase distribution and interfacial bonding quality. Three FML-2/1 configurations (FML/Al-20, FML/Al-40, and FML/Al-60), where the numerical values indicate the exposure time (minutes) of 3003-H14 aluminum to NaOH alkaline etching, were physically characterized after bonding to a basalt fiber-reinforced polymer (BFRP) core to quantify constituent and void volumetric fractions. Based on previously reported differences in interlaminar strength, FML/Al-40 was selected to evaluate tensile behavior at room temperature and high temperature. The average density across all FML configurations was about 2.15 g/cm3, corresponding to a 21% reduction relative to aluminum. Compositional analysis revealed significant differences among configurations in both the complete FML and the renormalized matrix–fiber–void composition of the BFRP core, indicating that surface treatment is associated with changes in internal phase distribution beyond the metallic contribution. At room temperature, FML/Al-40 exhibited an ultimate tensile strength of 262.7 MPa. Relative to this value, tensile strength was retained at 83%, 54%, and 31% at 100, 150, and 200 °C, respectively, demonstrating a progressive reduction in strength with increasing temperature and a corresponding change in the thermomechanical response associated with evolving failure mechanisms. Full article
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36 pages, 6431 KB  
Article
Comparative Thermal Performance of Ultra-High-Performance Concrete and Geopolymer Concrete: Influence of Steel Fibre Geometry on Residual Mechanical and Chemical Properties
by Yusra Muhammed, Jawdat Tashan, Nadia Saiyouri, Youssef Sleiman and Bland Lateef
Materials 2026, 19(16), 3562; https://doi.org/10.3390/ma19163562 - 21 Aug 2026
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Abstract
To investigate the elevated-temperature performance of Ultra-High-Performance Concrete (UHPC) and Ultra-High-Performance Geopolymer Concrete (UHPGC), a systematic comparative study was conducted at 800 °C. This study examined the effects of the steel fibre geometry (micro and hooked-end) and dosage (1.5% and 2.0%) on mass [...] Read more.
To investigate the elevated-temperature performance of Ultra-High-Performance Concrete (UHPC) and Ultra-High-Performance Geopolymer Concrete (UHPGC), a systematic comparative study was conducted at 800 °C. This study examined the effects of the steel fibre geometry (micro and hooked-end) and dosage (1.5% and 2.0%) on mass loss, crack propagation, residual compressive, flexural, and tensile strengths, and chemical evolution following a 24 h pre-drying protocol to mitigate explosive spalling. The results demonstrate that UHPGC exhibits superior thermal stability and residual mechanical performance compared with UHPC after high-temperature exposure. Among all mixtures, the UHPGC mixture reinforced with 2% micro steel fibres (UHPGC-M2) achieved the highest residual compressive strength (30 ± 0.4 MPa, corresponding to 25% strength retention compared with 21% for the equivalent UHPC mixture), the lowest post-exposure crack width (0.08 mm), and the highest tensile strength retention (17.9%). Micro steel fibres were more effective in controlling crack propagation and preserving peak load capacity, whereas hooked-end fibres contributed more significantly to post-peak ductility. Chemical analysis revealed substantial chemical changes in both systems after exposure to 800 °C. However, UHPGC exhibited lower mass loss (4.8%) and greater residual performance. These findings establish micro steel fibre-reinforced UHPGC as a sustainable and high-performance material for fire-resistant structural applications. Full article
(This article belongs to the Special Issue Reinforced Concrete: Mechanical Properties and Materials Design)
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19 pages, 2220 KB  
Article
Phenological Shifts and Photosynthetic Trade-Offs in Phragmites australis Under Experimental Warming: A Seasonal Perspective
by Ke Zhang, Liujuan Xie, Siyuan Ye, Ken W. Krauss, Lei He, Xigui Ding, Shixiong Yang, Pan Zhou, Zongmin Zhu, Thomas J. Mozdzer, Samantha K. Chapman, Brian K. Sorrell, Edward A. Laws and Hans Brix
J. Mar. Sci. Eng. 2026, 14(16), 1554; https://doi.org/10.3390/jmse14161554 - 21 Aug 2026
Viewed by 70
Abstract
Although climate warming affects photosynthetic carbon sequestration in coastal wetland plants, the seasonality of this effect has not been assessed. We investigated the growth traits and photosynthetic properties of Phragmites australis by using open-top chambers (OTCs) to conduct a warming experiment in the [...] Read more.
Although climate warming affects photosynthetic carbon sequestration in coastal wetland plants, the seasonality of this effect has not been assessed. We investigated the growth traits and photosynthetic properties of Phragmites australis by using open-top chambers (OTCs) to conduct a warming experiment in the coastal wetlands of the Yellow River Delta during a single growing season. The OTCs significantly elevated temperatures by ~1 °C across the growing season, and the effects of warming on stem diameter, net photosynthetic rate (Pn), and water use efficiency (WUE) were characterized by a significant month × warming interaction. Early-season carboxylation efficiency (φ) increased by 71%, but a significant late-season decline of Pn by 49% accompanied by a rise of intercellular CO2 concentrations (Ci) and decline of stomatal limitation (Ls) led to a seasonal shift from stomatal to non-stomatal (biochemical) limitation of growth. A consistent increase in plant height and Ci across all months and concomitant decrease in Ls indicated that the additive effects of warming were independent of phenological stage. The results revealed that the phenological mediation of warming responses is trait specific. Carbon cycle models should therefore adopt trait-specific parameterizations to accurately project the impact of the wetland carbon sink under future warming. Full article
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18 pages, 9305 KB  
Article
Heat Stress Mitigation by Haematococcus lacustris Extract: Evidence from HaCaT Keratinocytes and Caenorhabditis elegans
by Barbara Pagliarani, Letizia Pruccoli, Martina Balducci, Chiara Samorì, Laura Pezzolesi and Andrea Tarozzi
Cosmetics 2026, 13(4), 214; https://doi.org/10.3390/cosmetics13040214 - 21 Aug 2026
Viewed by 121
Abstract
Rising temperatures and the occurrence of heat waves due to climate change can increase the risk of various skin disorders. Moreover, elevated temperatures worsen oxidative damage and inflammation caused by other climate change stressors, such as UV exposure. Consequently, there is growing interest [...] Read more.
Rising temperatures and the occurrence of heat waves due to climate change can increase the risk of various skin disorders. Moreover, elevated temperatures worsen oxidative damage and inflammation caused by other climate change stressors, such as UV exposure. Consequently, there is growing interest in innovative solutions to protect skin health from the effects of pollution and climate change stressors. Among natural cosmeceuticals, carotenoids are recognized for their antioxidant and anti-inflammatory properties. This study evaluated the thermoprotective effects of Hematococcus lacustris (the microalga formerly called Hematococcus pluvialis) extract (HLE), which is considered the richest natural source of carotenoid astaxanthin, against acute hyperthermia, which mimics the conditions of heat waves. In addition, we separately assessed the effects of HLE against UVA and hydrogen peroxide stress, complementing the antioxidant profile of the extract under study. The evaluation was conducted using in vitro tests on human HaCaT keratinocytes and the nematode Caenorhabditis elegans, which is a model organism sensitive to environmental stressors. The treatment of HaCaT keratinocytes with HLE counteracted the intracellular formation of reactive oxygen species and cytotoxicity induced by hyperthermia, UVA, and hydrogen peroxide exposure. Under the same experimental conditions, HLE also restored the impaired expression of stress-sensitive genes, such as matrix metalloproteinase-1, in HaCaT keratinocytes and promoted wound closure mimicking the process of re-epithelization. Lastly, experiments in C. elegans confirm that HLE reduces heat stress-induced oxidative damage and preserves motility, supporting a systemic protective effect consistent with dietary uptake of the extract. These findings suggest that HLE, rich in carotenoid astaxanthin, can protect keratinocytes against oxidative damage and cytotoxicity induced by thermal stress, indicating its potential role in mitigating thermal aging. Full article
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18 pages, 7772 KB  
Article
Hierarchically Structured V2O5/PANI Heterostructures for Room-Temperature Ammonia Sensing
by Chunmei Shangguan, Anan Xu, Fang Wang, Ying Li, Jiao Jia and Zhenchen Liu
Sensors 2026, 26(16), 5300; https://doi.org/10.3390/s26165300 - 21 Aug 2026
Viewed by 148
Abstract
Ammonia, a toxic and volatile pollutant commonly found in chemical industrial environments, requires reliable real-time detection to ensure industrial safety and effective environmental monitoring. Conventional gas sensors typically operate at elevated temperatures, resulting in high power consumption. Moreover, pure metal oxides and conductive [...] Read more.
Ammonia, a toxic and volatile pollutant commonly found in chemical industrial environments, requires reliable real-time detection to ensure industrial safety and effective environmental monitoring. Conventional gas sensors typically operate at elevated temperatures, resulting in high power consumption. Moreover, pure metal oxides and conductive polymers often suffer from significant aggregation and exhibit suboptimal sensing performance under ambient conditions, limiting their practical applications. In this study, hierarchical porous V2O5/PANI composites were synthesized via a straightforward one-step coprecipitation method combined with in situ polymerization. The interlaced architecture of polyaniline (PANI) and vanadium pentoxide (V2O5) effectively reduces structural aggregation and increases the availability of surface active sites. Furthermore, the synergistic interaction at the bi-phase interface significantly enhances charge carrier transport, leading to improved ammonia-sensing capabilities at room temperature. Notably, the composite containing 20% V2O5 demonstrated superior response, selectivity, and reproducibility toward 10 ppm NH3. Due to its simple fabrication process and room-temperature operation without external heating, the developed V2O5/PANI composite sensor holds significant potential for practical applications in low-concentration ammonia detection under ambient conditions. Full article
(This article belongs to the Special Issue Smart Gas Sensor Applications in Environmental Change Monitoring)
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24 pages, 11627 KB  
Article
Tyrosine Supplementation Rescues a Growth Defect in a Humanized S. cerevisiae Model of YARS1 Associated with CMT-DI
by Nancy Sun, Tristan N. Samuels, Kyle Hoffman, Ridhwan Busari, Zain Nasir, Nicole Girard, Noah M. Reynolds and Ilka U. Heinemann
Int. J. Mol. Sci. 2026, 27(16), 7481; https://doi.org/10.3390/ijms27167481 - 21 Aug 2026
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Abstract
Dominant pathogenic mutations in tyrosyl-tRNA synthetase (YARS1) are associated with Charcot–Marie–Tooth disease (CMT), a progressive peripheral neuropathy for which no disease-modifying therapies currently exist. While recent advances in amino acid supplementation therapies suggest potential benefit for recessive aminoacyl-tRNA synthetase disorders, their applicability to [...] Read more.
Dominant pathogenic mutations in tyrosyl-tRNA synthetase (YARS1) are associated with Charcot–Marie–Tooth disease (CMT), a progressive peripheral neuropathy for which no disease-modifying therapies currently exist. While recent advances in amino acid supplementation therapies suggest potential benefit for recessive aminoacyl-tRNA synthetase disorders, their applicability to dominant YARS1-associated neuropathies remains unclear. Here, we investigated the pathogenic mechanisms underlying the dominant YARS1 variants G41R, D81I, and E196Q. Using biochemical and functional analyses, we identified increased structural rigidity for G41R and E196Q proteins, while D81I is more susceptible to tryptic digestion. Furthermore, expression of the YARS1 variants in a humanized yeast model produced a dominant negative growth defect that is exacerbated at elevated temperatures, supporting disruption of canonical YARS1 function as a contributor to disease pathogenesis. Notably, tyrosine supplementation significantly rescued the observed growth defects across variants. These findings demonstrate that impaired tyrosine utilization contributes to the pathogenic effects of dominant YARS1 variants and provide proof-of-concept evidence that tyrosine supplementation may represent a potential therapeutic strategy for patients with YARS1-associated CMT. Full article
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