Anti-KL (center region) polyclonal antibody

A filter mesh was prepared by a facile biomimetic mineralization method with excellent superhydrophilic and underwater superoleophobic properties for the gravity-driven oil-water separations. It shows extremely high permeation flux (>440 kL.m(-2).h(-1)), excellent cycling ability, and high separation efficiency with a chemical oxygen demand (COD) of the filtrate lower than 9 mg/L in several typical oil-water separation processes. The filter mesh also exhibits significant long-term stability of underwater superoleophobic property in the neutral and strong alkaline chemical environment. For instance, it exhibited stable surface oil contact angles (>160 degrees) and high separation efficiency (COD < 7 mg/L) after separating the kerosene-water mixtures with a pH of 7-13. In addition, the liquid wetting models were established to understand the function mechanism of superhydrophilic and underwater superoleophobic surfaces on the oil-water separation.

Modeling of the parabolic distributed parameter system (DPS) with the Karhunen-Loeve (KL) method under sparse sensing will become very difficult because the information from the measurements is incomplete. A novel information completion and learning strategy is proposed for spatiotemporal modeling under sparse sensing. During the offline initialization phase, the initial full spatial basis functions (SBFs) are constructed first in the full sensing environment under the framework of time-space separation. Subsequently, during the normal operation phase of fewer sensors, the sparse SBFs are obtained and further used to complete the lost spatial information with the help of the initial full SBFs, which are then recursively calibrated by the incremental KL. By iteratively repeating these two steps, the sparse spatiotemporal output can be completed in a streaming data environment. Finally, the proper spatiotemporal model can be constructed through time-space synthesis. The experimental results of a nonlinear transport-reaction process on a catalytic rod demonstrate the effectiveness of the proposed method.