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Fe 3 O 4 @SiO 2 -Ag catalyst was found to be highly active and selective in the N-alkylation of amines with a variety of aromatic and linear alcohols. The heterogeneous nature of the Fe 3 O 4 @SiO 2 -Ag catalyst allows easy recovery and regeneration by applying an external magnet for six subsequent reaction cycles. The prepared catalyst was characterized using electron microscopy techniques, X-ray diffraction, vibrating sample magnetometry and atomic absorption spectroscopy.

The corrosion inhibition effect of fluconazole (FLU) was investigated on steel in 1 M hydrochloric acid solution. Weight loss measurements and atomic force microscope analysis were utilized to investigate the corrosion inhibition properties and film formation behaviour of FLU. Quantum chemical approach was also used to calculate some electronic properties of the molecule in neutral and protonated form in order to find any correlation between the inhibition effect and molecular structure of FLU molecule. The results showed that FLU can act as a good corrosion inhibitor for steel in hydrochloric acid solution at different temperatures and it can inhibit steel corrosion up to 95%. The adsorption followed the Langmuir isotherm and the thermodynamic parameters were also determined and discussed. Quantum chemical studies showed that in adsorption process of FLU molecules, nitrogen and oxygen atoms and benzene ring act as active centres.

An imidazole-based antifungal drug, namely Ketoconazole (KETO) was evaluated as a corrosion inhibitor for steel in 1M hydrochloric acid by electrochemical impedance spectroscopy (EIS) and gravimetric method. Atomic force microscope was also utilized to investigate the corrosion inhibition properties and film formation behavior of Ketoconazole. The results showed that Ketoconazole is a good corrosion inhibitor for steel in acidic solution at different temperatures. The Adsorption followed the Langmuir isotherm and the thermodynamic parameters were also determined and discussed.Quantum chemical approach was also used to calculate some electronic properties of the molecule in order to ascertain any correlation between the inhibition effect and molecular structure of Ketoconazole.

In this paper considering a n e w human gait recognition system based on Radon transform which gives a high precision recognition rate. Innovation of this paper allocate to feature extraction and usage of them during process by combined neural networks. feature extraction is based on the Radon transform of binary silhouettes .in this paper For each gait sequence, the transformed silhouettes are used after background estimation and human detection in the scene to make each related template's. then set of all templates is used to subspace projection by following PCA method and earning final decimated feature vector for each persons in database. consequently earned feature vector for each person's is applied to multilayer perceptron neural network and set of all neural networks feed to final neural network for final decision. Experimental results is performed over a suitable data base include 10 samples for ten person which each sample have 130 frames approximately. 97% recognition rate of the proposed system is obtained over 10 samples test patterns.