Computing of Personality Interference in Muslim World

With the rise of Computer Science and the Internet, in particular, the Muslim world has shifted its dynamics on an industrial scale. Whether its alternative interpretations of Islam or questions about it, the Internet has been as all new medium to reach the masses. On the other hand, social intelligence has always been considered vital for understanding and managing soft-biometric traits of a person we are communicating. So what actually is social intelligence? Although it has always been a mystery to understand how humans interact with each other and explore the world in a global era. Learning ability, perceiving ability and adaptation to a new environment are usually linked with intelligence. The ongoing research in cognitive science has increased our understanding of intelligence. According to research, it has been clarified that it is not one or two factors that are responsible for intelligence but rather there is a range of abilities to determine social intelligence.

Determining Forage Production Potential of Maize Sown As a Mixture With Different Legumes under Different Nitrogen Applications

Two field experiments to study the agro-quantitative and qualitative response of forage maize sown alone and as a mixture with forage legumes were conducted at the Agronomic Research Area, University of Agriculture, Faisalabad, Pakistan, during the year 2005 and 2006. The sole crops and blended seed mixtures were sown in 30 cm apart rows with the help of single row hand drill. Experiment-I was replicated three times in randomized complete block design (RCBD), while the experiment-II was laid out in randomized complete block design with factorial arrangement, measuring a net plot size of 2.4 m x 8 m. First experiment comprised of thirteen treatments i.e. maize alone (100%), 75%maize + 25%cowpea, 50%maize + 50%cowpea, 25%maize + 75%cowpea, cowpea alone (100%), 75%maize + 25%sesbania, 50%maize + 50%sesbania, 25%maize + 75%sesbania, sesbania alone (100%), 75%maize + 25%cluster bean, 50%maize + 50%cluster bean, 25%maize + 75%cluster bean and cluster bean alone (100%). Mixed cropping of maize with different legumes significantly affected the growth, yield and quality of forage. The maize sown in mixture with sesbania at seed ratio of 75%+25% produced significantly higher mixed green and dry matter yield than all other seed ratios of maize in combination with any legume. The yields of all sole legumes (Cowpea, Sesbania and Cluster bean) were significantly lower than sole maize. The lowest green forage yield (16.92 t ha -1 ) and dry matter yield (3.52 t ha -1 ) was recorded when cluster bean was sown as sole crop. All maize + sesbania produced higher CP% and EEF% of mixed forage than mixtures of maize with cowpea and cluster bean at similar seed ratios. Land equivalent ratio was also highest in maize + sesbania mixture at 75:25 seed ratio. In the second experiment response of forage maize sown alone and mixture with different legumes i.e. cowpea, sesbania and cluster bean at seed ratio of 75% + 25%was evaluated at nitrogen levels of 0, 50, 100 and 150 kg ha -1 . The forage and dry matter yield of sole maize was increased significantly up to 150 kg N ha -1 , while the application of 150 kg N ha -1 to all maize-legume mixtures had a depressing effect on yields. Maize + sesbania mixture fertilized at 100 kg N ha -1 gave the highest mixed forage yield, dry matter yield and economic benefits (Net benefit and BCR).