This section presents the seismic stability assessment of cracked compound slopes with soil heterogeneity based on a kinematic method with a discretization technique. The construction of the proposed failure mechanism is introduced, followed by…
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Optimized NaOH and KOH treatments for interfacial and mechanical enhancement of agro-marine ash reinforced aluminum composites
Materials
Matrix material: AA6061 aluminum alloy
The matrix material used in this study is AA6061 aluminium alloy, which is widely recognized for its excellent balance of strength, weldability, corrosion resistance, and thermal conductivity. This…
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Smart defense based on explainable stacked machine learning architecture for securing internet of health things with K-means clustering
This section presents a comprehensive evaluation of the experimental results using deep learning models and the proposed explainable stacked model. In this, first, we explore the information from the data set, data analysis, and anomalies, and…
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Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection
In this section, the method of collecting the necessary data for the research and the characteristics of this data are described. Then, the steps of the proposed method for predicting the academic performance of students in higher education are…
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UHRF1-mediated HIF-1α stabilization promotes ovarian cancer through metabolic reprogramming and angiogenesis
Cell lines and culture conditions
Based on previous OC research methodologies [22, 23], the SKOV3 and A2780 cell lines were selected as the subjects for this study to investigate OC-related mechanisms. The human OC cell line SKOV3 (CL-0215) was…
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How Napoleon’s army met its doom: DNA reveals surprise illnesses had a role
Nature, Published online: 24 October 2025; doi:10.1038/d41586-025-03487-6
Remains of some of the 300,000 soldiers who died on the retreat from Moscow reveal two bacterial diseases that probably added to the death count.
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Experimental and machine learning-based analysis of red mud influence on recycled aggregate concrete properties
Soto-Paz, J., Arroyo, O., Torres-Guevara, L. E., Parra-Orobio, B. A. & Casallas-Ojeda, M. The circular economy in the construction and demolition waste management: A comparative analysis in emerging and developed countries. J. Build. Eng. 78,…
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Reducing annotation burden in physical activity research using vision language models
Wasfy, M. M. & Lee, I.-M. Examining the dose–response relationship between physical activity and health outcomes. NEJM Evid. 1(12), EVIDra2200190 (2022).
Google Scholar
Servais,…
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Computational analysis of metal organic framework and covalent organic framework using degree based topological indices with QSPR validation
In this section, we compute a comprehensive set of degree-based and neighborhood degree-based topological indices including Sombor variants, neighborhood Zagreb indices, and NDe indices for two advanced porous frameworks: the 2D naphthalene-based…
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Attention-based multi-agent reinforcement learning for traffic flow stability in mountainous tunnel entrances
System modeling
The entire system modeling of MF3DQN-TF framework is the core of the framework design. The system modeling that needs to be completed based on this framework mainly includes the following two parts51,52. MF3DNQ-TF Framework…
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