In this research studied of Thermal Conductivity and Hardness Test of Carbon Black / Polymer Micro Composite at different weights ratios were studied. Five samples were prepared for Carbon black with epoxy resin, where the percentages of carbon black ranged between 2%, 4%, 6%, 8% and 10%. The mechanical properties of hardness test that the values of hardness for Carbon black decreasing with increased ratios of additive compared to the case of pure epoxy. For thermal conductivity coefficient (K), the results that values for Carbon black increased by increasing the ratios additive compared to pure epoxy.

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Adsorption is one of the promising strategies for aqueous dye remediation. A lot of attention has been paid to textile wastewater treatment using smart materials. In this study, we formed the N-FeO to test its properties by using FTIR and TEM technique. We also tested AC, N-FeO and mixed N-FeO/AC to investigate the adsorption efficiency of lipophilic cationic dye (LCD) removal from aqueous solutions of each individually under. The results showed that the removal percentage of lipophilic cationic dye by using activated crbon was increasing significantly with AC wight (Pvalue < 0.01), and the highst removal was to 0.1 ppm of dye (52%). While the lowest dye removal percentage was 14.3% of 1ppm dye concentration and 0.05g AC. The rmoval of dye, by using N-FeO, was depant on the concentration of dye and the amount of N-FeO. The highst percentage of dye removal was 45% ±3.69 of 0.1 ppm concentration with using 0.3g and 0.35 g of N-FeO. While the lowest removal percentage of dye was 7.3%±2.49 of 1ppm with using 0.05g of N-FeO. The using of N-FeO/AC mixture leads to a significant removal percentage of dye in different concentrations compared with using each of them a lone. By this mixture, the highest removal of dye reached to 98%±3.47, 92%±3.96, and 88%±1.44 of 0.1ppm, 0.5ppm, and 1ppm respectively by using 0.35g of N-FeO/AC mixture. While the lowest dye removal percentage was 54%±1.1, 46%±0.98, and 40%±2.49 of 0.1ppm, 0.5ppm, and 1ppm respectively by using 0.05g of N-FeO/AC mixture. This study suggested that the increase in adsorption at low dye concentration was due to the availability of active sites that were saturated While the adsorbing surface area will increase with the N-FeO/AC mixture, the percentage of dye removal at constant temperature will also increase, and it is nessesary to using more chemometric test of this mixture for testing the best removal environment of this kind of dye.

The nano-particles are not limited to the domain of physics rather it is now days used for the applications in information technology and bio-informatics whereby the assorted streams can be integrated. In this research paper, the analysis of the nano-particles related to the brain waves are taken so that the predictions on the datasets can be done for effective discovery and identification of the brain related diseases. This manuscript is having focus on the usage of machine learning based approach for the predictive analysis of the brain related diseases and found that the need to integrate the information technology to biological domains are quite mandatory for the medical sciences.