Novel Triazole-, Oxadiazole-, and Pyrazole-Nicotinonitrile Hybrids: Synthesis,DFT Study,Molecular Docking,and Antimicrobial Activity

Russian Journal of General Chemistry - The present study is devoted to functionalization of ethyl 2-{[3-cyano-6-(4-cyanophenyl)-4-(2,4-dichlorophenyl)pyridin-2-yl]oxy}acetate (1) by triazole-,...     

Computation of surface roughness using optical correlation

The laser speckle photography is used to calculate the average surface roughness from the autocorrelation function of the aluminum diffuse objects. The computed results of surface roughness obtained from the profile shapes of the autocorrelation function of the diffuser show good agreement with the results obtained by the stylus profile meter.      

Effects of glow-discharge nitrogen-plasma on the linear birefringence of polyester sheets

A simple white light interferometric method is used to study the effects of plasma on the steady-state linear birefringence of polyester sheet films. Glow-discharge nitrogen-plasma of power 13 W with nine different exposure times from 0 to 25 min is applied to films of 0.22 mm thickness. The relationship between the linear birefringence and some atomic parameters is derived theoretically and tested experimentally. Effects on the linear birefringence, the linear retardance and Herman's orientation parameter are investigated. The increase of plasma exposure time produces an increase in the linear birefringence and Herman's orientation parameter. Characterization of plasma-treated and plasma-untreated polyester samples have been thoroughly examined using Fourier transform infrared (FTIR) spectroscopy. It is noted that no new bands have appeared after treatment for all the tested samples at different time intervals. There is an increase in intensity and band definition, and a shift of some bands that were already present in the spectrum of the untreated sample, assigned to the trans conformer.     

Analysis of speckle images to assess surface roughness

Digital speckle images are photographed for different aluminum rough surfaces using a CCD camera. The obtained speckle images are fed to a PC and analyzed making use of the MATLAB program. The computerized binary images are investigated. The signal-to-noise ratio is computed from these numerical images. It is shown that the surface roughness of the examined surfaces is dependent upon the degree of agglomeration of the speckle images.