In treatment of diabetes, it is much desired in clinics and challenging in pharmaceutics and material science to set up a long-acting drug delivery system. This study was aimed at constructing a new delivery system using thermogelling PEG/polyester copolymers. Liraglutide, a fatty acid-modified antidiabetic polypeptide, was selected as the model drug. The thermogelling polymers were presented b...

Antioxidant capacity of poorly soluble natural antioxidant kaempferol, in particular free or loaded two types cationic micelles, was studied on non-enzyme induced lipid peroxidation (LPO) vitro . The micelles were based triblock copolymers - poly(2-(dimethylamino)ethyl methacrylate-b-poly(propylene oxide)-b-poly(2-(dimethylamino)ethyl methacrylate (PDMAEMA-PPO-PDMAEMA) and methacrylate-b-poly(ε...

We study the 2-center problem with outliers in highdimensional data streams. Given a stream of points in arbitrary d dimensions, the goal is to find two congruent balls of minimum radius covering all but z points. We provide a (1.8 + ε)-approximation streaming algorithm for the problem, improving upon the previous (4 + ε)approximation algorithm available for the problem. The space complexity an...

Osteoarthritis scaffold-based grafts fail because of poor integration with the surrounding soft tissue and inadequate tribological properties. To circumvent this, we propose electrospun poly(ε-caprolactone)/zein-based scaffolds owing to their biomimetic capabilities. The scaffold surfaces were characterized using Fourier-transform infrared spectroscopy, X-ray photoelectron static water contact ...

This paper focuses on the developing a mechanistic model of the biopolymerization process and linking with the feedforward neural network model to obtain a hybrid model of lipase-catalyzed ring-opening polymerization of ε-caprolactone (ε-CL) for Poly (ε-caprolactone) PCL production using feed forward neural networks and control using model predictive control. Model predictive control (MPC) has ...

We consider the K-clustering problem with the `2 distortion measure, also known as the problem of optimal fixed-rate vector quantizer design. We provide a deterministic approximation algorithm which works for all dimensions d and which, given a data set of size n, computes in time poly(K)(d/ε)n log log n+(d/ε) a solution of distortion at most 1+ε times optimal. The key tool is construction of a...