n. mohammad

In this work, we focus on the up-gradation of the copper ore of Qilla Saifullah in Pakistan through the froth flotation technique. The chemical analysis of the head copper ore sample reveal the presence of 2.85% Cu, 22%  Fe2O3, 52.9% SiO2, and other minor minerals. The optimum grinding time and liberation size of the copper ore have been determined as 30 minutes and +149-105 µm, respectively, for further processing. The chemical reagents are optimized in order to get a maximum grade and recovery of the copper ore. After comparisons and analysis of the results obtained, it can be concluded that the maximum grade and recovery of the copper ore are achieved at the dosage 300 (g/t) of the collector potassium amyl xanthate (C6H11KOS2), 250 g/t of pine oil, 250 g/t of a depressant (Na2SiO3), conditioning time of 10 minutes for a collector, flotation time of 6 and 10 minutes, and pH of 10 using the froth flotation technique.

This paper elucidates a new idea and concept for exploration of the gold ore deposits.  The cyanidation method is traditionally used for gold extraction. However, this method is laborious, time-consuming, costly, and depends upon the availability of the processing units. In this work, an attempt is made in order to update the gold exploration method by the Monte Carlo-based simulation. An excellent approach always requires a high quality of the datasets for a good model. A total of 48 incomplete datasets are collected from the Shoghore district, Chitral area of Khyber, Pakhtunkhwa, Pakistan. The cyanidation leaching test is carried out in order to measure the percentage of the gold ore deposits. In this work, the mean, median, mode, and successive iteration substitute methods are employed in such a way that they can compute the datasets with missing attributes. The multiple regression analysis is used to find a correlation between the potential of hydrogen ion concentration (pH), solid content (in %), NaCN concentration (in ppm), leaching time (in Hr), particle size (in µm), and measured percentage of gold recovery (in %). Moreover, the normal Archimedes and exponential distributions are employed in order to forecast the uncertainty in the measured gold ore deposits. The performance of the model reveals that the Monte Carlo approach is more authentic for the probability estimation of gold ore recovery. The sensitivity analysis reveals that pH is the most influential parameter in the estimation of the gold ore deposits. This stochastic approach can be considered as a foundation to foretell the probabilistic exploration of the new gold deposits.

The purpose of this study was to predict students' mental health based on religious beliefs, educational self-efficacy, and moral growth. The design of this study was correlational and the population was comprised of all male and female senior high school students in Rasht during the academic year of 2015-2016. From this population, 250 male and female students were selected using multistage sampling. The instruments were academic mental health questionnaire, religious beliefs questionnaire, self-education questionnaire, and moral growth questionnaire. Data analysis was performed through Person's correlation coefficient and regression analysis. The findings showed a positive significant correlation between religious beliefs, educational self-efficacy, and moral growth with mental health. The results of regression analysis also revealed that 31% of the total variance of mental health can be explained by religious beliefs, educational self-efficacy, and moral growth. Hence, it can be concluded that with increases in the level of religious beliefs, educational self-efficacy, and moral growth, mental health increases. On the other hand, religious beliefs, educational self-efficacy, and moral growth are the most important variables in student mental health.