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    Eco-friendly alkali-activated nano concrete: Impact of nano-GGBFS on mechanical and microstructural properties by Samuvel Raj R, G. Prince Arulraj, N. Anand, Balamurali Kanagaraj, Eva Lubloy

    Published 2025-06-01
    “…The findings suggest that incorporating nGS in AANC can significantly improve the performance and sustainability of construction materials. The economic analysis and Life Cycle Assessment (LCA) results collectively demonstrate the viability of nGS-enhanced AANC as a sustainable solution, offering long-term cost savings through reduced maintenance, extended service life, and energy efficiency, while significantly lowering environmental impacts across its lifecycle stages, positioning it as a high-performance and environmentally friendly alternative to traditional Portland cement-based materials.…”
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  9. 25589

    Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

    Published 2021-01-01
    “…Recently, various deep learning models based on artificial neural networks (ANNs) have been widely employed in finance and economics, particularly for forecasting volatility. …”
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    Comparative study of conventional and process intensification by reactive distillation designs for glycerol carbonate production from glycerol and diethyl carbonate by Bushra Chalermthai, Chayanin Sriharuethai, Bradley D. Olsen, Kanokwan Ngaosuwan, Apinan Soottitantawat, Suttichai Assabumrungrat, Pongtorn Charoensuppanimit

    Published 2025-01-01
    “…The results showed that Case II was superior to Case I in terms of energy utilization, CO2 emissions, and economics with the specific energy consumption of 1.92 kWh/kg of diethyl carbonate, % internal rate of return of 274, payback period of 1.44 years, and CO2 emissions of 0.26 kg CO2/kg DEC. …”
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