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By Zou Tang-Bin   Xia En-Qin   He Tai-Ping   Huang Ming-Yuan   Jia Qing   Li Hua-Wen  

Molecules, Vol. 19, Iss. 2, 2014-01 ,pp. : 1411-1421

MDPI

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A Modeling Study by Response Surface Methodology (RSM) and Artificial Neural Network (ANN) on Nitrobenzene Hydrogenation Optimization Using Rh Nanocatalyst

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Synthesis and Reactivity in Inorganic, Metal-Organic, and Nano-Metal Chemistry, Vol. 45, Iss. 10, 2015-10 ,pp. : 1580-1590

Taylor & Francis Ltd

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Rapid Adsorption of Heavy Metals by Fe₃O₄/Talc Nanocomposite and Optimization Study Using Response Surface Methodology

By Kalantari Katayoon   Ahmad Mansor B.   Masoumi Hamid Reza Fard   Shameli Kamyar   Basri Mahiran   Khandanlou Roshanak  

International Journal of Molecular Sciences, Vol. 15, Iss. 7, 2014-07 ,pp. : 12913-12927

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Response Surface Methodology Optimization of Ultrasonic-Assisted Extraction of Acer Truncatum Leaves for Maximal Phenolic Yield and Antioxidant Activity

By Yang Lingguang   Yin Peipei   Fan Hang   Xue Qiang   Li Ke   Li Xiang   Sun Liwei   Liu Yujun  

Molecules, Vol. 22, Iss. 2, 2017-02 ,pp. : 232-232

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Optimization of Microwave-Vacuum Drying of Button Mushrooms Using Response-Surface Methodology

By Giri S. K.   Prasad Suresh  

Drying Technology, Vol. 25, Iss. 5, 2007-05 ,pp. : 901-911

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