Sentence examples for biological problems such as from inspiring English sources

This review discusses the application of smart materials as tools to solve biological problems such as bioseparation, drug delivery, biosensor design, tissue engineering, protein folding, and microfluidics.

For many biological problems, such as models that include the cell membrane, the immersed structure is a two-dimensional infinitely thin elastic shell immersed in an incompressible viscous fluid.

Genetic approaches offer an unparalleled opportunity to elucidate complex biological problems such as anesthetic action.

Identification of co-regulated genes are helpful for solving many biological problems such as unraveling the underlying molecular mechanisms of specific cellular functions, identifying functionally related proteins and dissecting the gene regulatory networks [ 1- 3].

On the other hand, lots of computational approaches have been developed to settle various biological problems, such as drug design [ 14– 19] and analysis of complicated biological network [ 20– 20].

Analyzing these images is critical for biologists to seek answers to many biological problems, such as differentiating cancer cell phenotypes (Long et al., 2007a), categorization of neurons (Jefferis et al., 2007), etc.

Different metrics have been proposed to integrate the probability of alteration of a sector of the cellular network (pathway) and the relative importance of that pathway in the context of the biological problem, such as the probability vector [19], the impact factor (IF) [21].

In addition to dynamic simulation, network is a powerful tool in computational systems biology to probe the fundamental biological problem, such as occurrence and development of complex disease and the recent cell reprogramming.

The possible explanation is that boys, compared to girl, were tended to have poorer sleep hygiene and have more biological health problems, such as overweight/obesity, ADHD, and food/drug allergy.

After adjusting only for sociodemographic characteristics, those biological health problems, such as overweight/obesity, chronic pain during night, history of ADHD diagnosis, and chronic respiratory condition, all poor psychosocial condition, and parents' history of insomnia were significantly associated with an increased likelihood of FNA (Model I).

Through the proofs, approximations, and optimizations to find architectures that plausibly do not violate biological constraints, important problems such as information routing and signal interference can be addressed.