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To investigate temporal deformation mechanisms of hydraulic asphalt concrete slope flow under evolving temperatures, this study developed a novel temperature-controlled slope flow intelligent test apparatus. Using this apparatus, slope flow tests were conducted at four temperature levels: 20 °C, 35 °C, 50 °C, and 70 °C. By applying nonlinear dynamics theory, the temporal evolution of slope flow deformation and its nonlinear mechanical characteristics under varying temperatures were thoroughly analyzed. Results indicate that the thermal stability of hydraulic asphalt concrete is synergistically governed by the phase-transition behavior between asphalt binder and aggregates. Temporal evolution of slope flow exhibits a distinct three-stage pattern as follows: rapid growth (0~12 h), where sharp temperature rise disrupts the primary skeleton of coarse aggregates; decelerated growth (12~24 h), where an embryonic secondary skeleton forms and progressively resists deformation; stabilization (>24 h), where reorganization of coarse aggregates is completed, establishing structural equilibrium. The thermal stability temperature influence factor () shows a nonlinear concave growth trend with increasing test temperature. Dynamically, this process transitions sequentially through critical stability, nonlinear stability, period-doubling oscillatory stability, and unsteady states.
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http://dx.doi.org/10.3390/ma18153625 | DOI Listing |
Orphanet J Rare Dis
September 2025
Department of Neurology, University Hospital Carl Gustav Carus at Technische Universität Dresden, Dresden, Germany.
Background: Natural history data show that respiratory function is impaired in SMA patients. Observational studies have shown stabilization of respiratory function in adult SMA patients treated with nusinersen. However, long-term studies investigating the effect of nusinersen on respiratory function in adult SMA patients are rare.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Physics, University of California Berkeley, CA, USA.
In simple microbial populations, the fitness effects of most selected mutations are generally taken to be constant, independent of genotype frequency. This assumption underpins predictions about evolutionary dynamics, epistatic interactions, and the maintenance of genetic diversity in populations. Here, we systematically test this assumption using beneficial mutations from early generations of the Long-Term Evolution Experiment (LTEE).
View Article and Find Full Text PDFSci Rep
September 2025
Department of Civil Engineering, Pulchowk Campus, Institute of Engineering, Tribhuvan University, Lalitpur, Nepal.
Floods are among the most damaging natural disasters, posing significant threats to socio-economic stability and environmental sustainability. This study addresses an important research gap by evaluating flood susceptibility in a small watershed (< 500 km), where no detailed susceptibility mapping has been conducted before. Flood susceptibility in the Triyuga Watershed, Nepal, was evaluated using three statistical models: Frequency Ratio (FR), Logistic Regression (LR), and Weight of Evidence (WoE), and the distinct hydrological behaviours of small watersheds were highlighted.
View Article and Find Full Text PDFPlants (Basel)
August 2025
College of Soil and Water Conservation, Central South University of Forestry and Technology, Changsha 410004, China.
The presence of understory vegetation not only influences slope-scale soil and water conservation but also exerts a profound effect on hydrodynamic characteristics and the processes of runoff and sediment production. Therefore, in this study, different vegetation types and vegetation coverages (bare land, 30%, 60%, and 90%) were set up by simulating rainfall (45, 60, 90, and 120 mm·h) to evaluate the runoff-sediment process and the response characteristics of hydrodynamic parameters. The results showed that increasing vegetation cover significantly reduced soil erosion on forest slopes ( < 0.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Department of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa, 58051-900, Paraíba, Brazil; Stokes School of Marine and Environmental Sciences, University of South Alabama, Mobile, AL, USA. Electronic address:
Flooding is an escalating hazard in arid and rapidly urbanizing environments such as Jeddah, Saudi Arabia, where the lack of historical flood records and sparse monitoring systems challenge effective risk prediction. To address this gap, this study aims to develop an accurate and interpretable flood susceptibility-mapping framework tailored to data-scarce urban settings. The research integrates a stacked ensemble model-comprising machine learning: XGBoost, CatBoost, and Histogram-based Gradient Boosting (HGB)-with SHapley Additive exPlanations (SHAP) to enhance prediction accuracy and model transparency.
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