Notice of Retraction3-Dimensional Numerical Simulation Method for the Rock Slope Excavation in Civil Engineering
Rock slope is an unknown and complicated system; As for time series with strong randomization, application of the modified GM(1,1) was much more precise than ordinary GMs by comparison. And for time series with fluctuate positive and negative data, translation of the data and revivification after modeling was introduced to make an expansion of the application of the modified GM(1,1). The fitting and prediction precision was good by applying the modified GM(1,1) to analysis the monitoring stress of certain site of the left bank of Jinping Hydropower station. And by compassion, it was known that the prediction trend was accurate, and gave good ground work for further study. On the contrary, it was an important issue for the establishment of long-term prediction models.
FORECASTING OF ROCK SLOPE DISPLACEMENT BASED ON GM(1,1)OPTIMIZED MODEL
Rock slope system is defined as a typical gray system, whose development of displacement can be modeled by the gray forecasting model. Although there have been many successful examples of the original GM(1,1) model, the cases of excessive forecasting errors are also existed. Therefore, it must be optimized. Speedup convergence of the step-by-step iterative method of GM(1,1) optimal model is defined, the concave-concave-convex features of which are well coincided with the original data sequence. The settling-volumes and fissuring-volumes of the observational point G1 in the Mabukan rock slope are predicted and analyzed by using self-programmed procedure. It can be concluded that the calculating precision of the step-by step iterative method of GM(1,1) optimal model is better than that of both the original GM (1,1) model and the background value structure method of GM(1,1) optimal model. The displacement trend of the rock slope is better defined.
Mucoadhesive Nanoparticles for Drug Delivery to the Anterior Eye
While the use of topical drops for the delivery of drugs to the anterior of the eye is well accepted, it is far from efficient with as little as 5% of the drug instilled on the eye actually reaching the target tissue. The ability to prolong the residence time on the eye is desirable. Based on the acceptability of 2-hydroxyethyl methacrylate based polymers in contact lens applications, the current work focuses on the development of a poly(2-hydroxyethyl methacrylate (HEMA)) nanoparticle system. The particles were modified to allow for degradation and to permit mucoadhesion. Size and morphological analysis of the final polymer products showed that nano-sized, spherical particles were produced. FTIR spectra demonstrated that the nanoparticles comprised poly(HEMA) and that 3-(acrylamido)phenylboronic acid (3AAPBA), as a mucoadhesive, was successfully incorporated. Degradation of nanoparticles containing N,N′-bis(acryloyl)cystamine (BAC) after incubation with DL-dithiothreitol (DTT) was confirmed by a decrease in turbidity and through transmission electron microscopy (TEM). Nanoparticle mucoadhesion was shown through an in-vitro zeta potential analysis.