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Gabriela Toader, Daniela Pulpea, Aurel Diacon, Edina Rusen, Raluca Elena Ginghina, Traian Rotariu, Alice Ionela Podaru, Andreea Elena Moldovan, Maria Gavrilescu, Ana-Mihaela Gavrila and Bogdan Trica
This study presents the formulation and application of strippable coatings for the entrapment and removal of heavy metals (HMs) and radio nuclides (RNs). The ?green? formulations involve the use of a water-based solution consisting of a synthetic biodegr...
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Qi Liu, Peng Nie, Hualin Dai, Liyuan Ning and Jiaxing Wang
Convolutional neural networks (CNN) are widely used for structural damage identification. However, the presence of environmental disturbances introduces noise into the acquired acceleration response data, impairing the performance of CNN models. In this ...
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Ahmed Akram EL-Awady, Hussein Nassef Al-Khalifa, Raafat Elghetany Mohamed, Mohamed Mohamed Ali, Khaled Farouk Abdallah, Mostafa Mohamed Hosny, Ahmed Abdel Salam Mohamed, Khaled Samy ElHabbak and Farouk Ahmed Hussein
This in vitro study compared the shear bond strength (SBS) and antibacterial efficacy of an orthodontic adhesive containing either cinnamon or titanium dioxide (TiO2) nanoparticles (NPs). A total sample of 120 freshly extracted teeth was randomly divided...
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Mehran Nasseri, Taha Falatouri, Patrick Brandtner and Farzaneh Darbanian
In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, speci...
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Liwei Zhang, Weiguo Zhang, Zaiquan Wang, Sijia Liu and Kai Liu
Dynamic risk assessment is a pivotal tool for enhancing construction safety and minimizing the potential for partial failure during deep and extensive excavation projects. To enhance the efficacy of dynamic risk assessment in deep excavation, this study ...
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