Disparities between new media use and critical engagement

AbstractIn the age of network economy and information society, almost all social, cultural, and educational issues spread rapidly across local and global spheres. More than ever before people—particularly the young—are influenced by the advent of information technologies. However, the future of the world depends on a generation barely acquainted with critical and intellectual traditions. The 21st century undergraduate university students rely heavily on the new media (e.g., social networking sites and virtual worlds) to communicate, and shape their worldviews. This tends to reduce their propensity towards critically analyzing and deconstructing social inequalities and/or other crucial contemporary issues. And indirectly, it reduces the local concerns into the generic global. In an environment saturated with branding, it is hard to get students to think outside the new-media-box. The emphasis is mainly on image rather than content and substance. Therefore, the projection of an idea figures more prominent than its delivery

Analyzing Semiconductor component's market sales data to create an Expert Fuzzy inference system

The Policy for buying chips is determined from Original Equipment Manufacturer (OEM's) laptops and computers through similarity criteria and probability rules. This study aims to create expert system that is prediction of purchase behavior in Semiconductor market. similarity criteria and probability rules are extracted from Quarterly list OEM's Information Order in Semiconductor market. we analyze and extract rules form OEM purchase behavior data by Data collection and statistical methods of data mining and then convert them into Fuzzy sets. In addition to information received from market nature, we create an expert system for deduction. our analysis of similar products show that there is two major groups of OEM in purchasing similar products That restoration information is done for a period of one year by using probability rules and getting approximately 95% of average score quarterly

Analyzing Semiconductor component's market sales data to create an Expert Fuzzy inference system

The Policy for buying chips is determined from Original Equipment Manufacturer (OEM's) laptops and computers through similarity criteria and probability rules. This study aims to create expert system that is prediction of purchase behavior in Semiconductor market. similarity criteria and probability rules are extracted from Quarterly list OEM's Information Order in Semiconductor market. we analyze and extract rules form OEM purchase behavior data by Data collection and statistical methods of data mining and then convert them into Fuzzy sets. In addition to information received from market nature, we create an expert system for deduction. our analysis of similar products show that there is two major groups of OEM in purchasing similar products That restoration information is done for a period of one year by using probability rules and getting approximately 95% of average score quarterly

Feeding and growth efficiency indices of rainbow trout (Oncorhynchus mykiss) during different deprivation and re-feeding periods

This study aimed to have more insight into the effects of different feed deprivation periods on the growth and feed utilization indices of fish. The study lasted for eight weeks. Four treatments with three replicates including a control group without feed deprivation and treatment 1, 2 and 3 with 1, 2 and 3 week(s) of feed deprivation, respectively, were set up. Fish were fed ad lib for five weeks from week four up to the end of week eight, twice daily. The initial weight was (44.01g ±0.19 c S.E.M). At the end of the deprivation period (day 21 of experiment) starved fish including treatments 1 (46.90g ±2.74), 2 (46.04g ±1.21) and 3 (41.04g ±0.22) had significantly lower weights (P0.05). Different body compartments (crude protein, fat and energy) were not significantly differed among the treatments at the end of the starvation period (P>0.05). Results indicated that the fish could tolerate the starvation and could finally compensate for the final body weight

Coral reef-like nickel-cobalt electrocatalyst

These data files are associated with the following publication:Improvement of electrocatalytic properties of copper nanofoam modified by coral reef-like nickel-cobalt electrocatalyst for water splittingPublished in:Journal of Alloys and Compound

Effective factors on thermal conductivity of stochastic structures open cell metal foams

Effective thermal conductivity (ETC) is a considerable thermo-physical property in design, manufacturing, and usage of multifunctional equipment that benefit cellular structures such as open-cell metal foams. An accurate understanding of key parameters effecting on ETC is classified by: Analytical, Numerical and Experimental approaches. In this study, a comprehensive investigation based on mentioned approaches is presented and a comparison between various factors affecting ETC including porosity, pore size, temperature, pressure and shape factor is made. Porosity and pore size, as main morphological features of open-cell metal foams, indicate structural characterization of them. Increase of porosity and pore size resulted decrease of ETC. The temperature effects on ETC in case of temperatures lower than 250 °C is ignorable although for temperature higher than 500 °C with change of heat transfer mechanism temperature plays a primary role in determining ETC. Few studies have been made on pressure parameter that illustrated its effect on ETC is insignificant. Multiple manufacturing methods produce different topological structures so; the influence of shape factor on ETC requires more efforts to reach a better understanding. Finally, applicable techniques for measuring ETC are briefly discussed