In this context, nanotechnology, which is the manipulation of matter in the dimension of 1 to 100 nm, offers the opportunity to produce new structures, materials and devices with unique physico-chemical properties (i.e. small size, large surface area to mass ratio) to be employed in energy efficient as well as economically and environmentally sustainable green innovations [ 8– 12].
The luminescence response would possibly be tuned to approach the highest level, which allows the films to be employed in future applications in efficient optical devices such as organic light-emitting diodes (OLEDs).
Further understanding of this tri-trophic plant-insect-bacterial interaction should provide valuable information and discoveries that could be employed in novel and more efficient biotechnological solutions for carbohydrate degradation, pest and disease management and phyto- and bio-remediation for example.
Numerical results indicate that the method gives highly accurate gradients especially for highly-curved high-aspect-ratio grids typical in high-Reynolds-number boundary layer flows over complex geometries, and can be employed in finite-volume solvers as an efficient alternative to least-squares or Green Gauss gradient methods.
Ruthiraan et al. (2015) made a comparative study between functionalized multiwall carbon nanotube (FMWCNTs), and magnetic biochar to determine the most efficient adsorbent to be employed in the Cd2+ ion removal from waste water.
Overall, our study presents an efficient strategy that can be employed in directed evolution approaches employed for obtaining improved properties of proteins.
This inevitably means that new or more efficient processing techniques need to be employed in the existing process, whilst ensuring the same quality and characteristic flavour is achieved.
This study creates an efficient computer-aided rule-based system that can be employed in decision making in TBI cases.
These nanostructures can also be employed in fuel cells or in water splitting applications, where high surface area is required with efficient transport in 1D nanostructures.
Table 9 shows that in a Latent Class MNL model using four classes among illiterate respondents, the probability that no ANA is employed in answering efficient design surveys range from 0.69 to 0.45.
