Flexible nanofilms are used as wave absorbing coatings for fiber/epoxy matrix to prepare lightweight wave-absorbing composites.

-Purpose. Find a novel delivery system for oral administration of drugs that have absorption window in the upper part of gastrointestinal (GI) track. Methods. Dipyridamole was chosen as the model drug. A novel system, which combined the osmotic pump controlled release system and the floating system was designed; matrix tablets (MT) were prepared for compares. The effects of pH, temperature and hydrodynamic conditions on drug release and the floating behavior of floating osmotic pump system (FOP) was investigated. In vivo evaluation was performed by a three-crossover study in six Beagle dogs relative to the conventional tablet (CT). Cumulative percent input in vivo was compared with that of in vitro release profiles. Results. Floating behavior of FOP, drug releases from FOP and MT were sensitive to pH of dissolution media but not sensitive to temperature; the release of dipyridamole from MT was influenced by stirring rate while drug release from FOP was not. AUC of FOP was larger than MT and CT. The linear correlations between fraction absorbed in vivo and fraction dissolved in vitro was established for FOP-a true zero-order release formula, whereas only a nonlinear correlation was obtained for MT. Conclution. FOP could be a novel way for the oral administration for drugs like dipyridamole.

Antibiotic‐resistant bacterial infection (ARBI) is one of the most serious global public health threats. Antiinfective peptides (AIPs) have been recognized as a promising alternative to traditional antibiotics, which can effectively combat the ARBI in a distinct mechanism. In the current study, we attempt to discover new and potent AIPs from the natural antibacterial protein repertoire. Hundreds of antibacterial proteins with sequence length > 50 amino acids are manually curated from literatures and databases, which are then broken into a large pool of 12‐mer peptide fragments. In the procedure, a high‐throughput statistical screening strategy that integrates machine learning, chemometic prediction, and molecular modeling is employed to computationally identify 8 promising AIP hits from the fragment pool, of which 5 are determined by susceptibility test to possess a moderate or high potency against human pathogenic bacteria (20 μg/mL < minimum inhibitory concentration < 90 μg/mL), while the other 3 have only a low or no antibacterial activity (minimum inhibitory concentration > 100 μg/mL). Conformational analysis characterizes that the active AIPs are almost α‐helical (helical rate > 50%), carry many positive charges (net charge > +3), and exhibit an amphipathic profile. Dynamic simulation of a representative membrane‐AIP interaction reveals that the peptide can fluctuate nearby the membrane surface and use its cationic side chains to directly interact with and tightly bind to the anionic hydrophilic layer of bacterial outer membrane.