EEGNet classification of sleep EEG for individual specialization based on data augmentation.

Sleep is an essential part of human life, and the quality of one's sleep is also an important indicator of one's health. Analyzing the Electroencephalogram (EEG) signals of a person during sleep makes it possible to understand the sleep status and give relevant rest or medical advice. In this paper, a decent amount of artificial data generated with a data augmentation method based on Discrete Cosine Transform from a small amount of real experimental data of a specific individual is introduced. A classification model with an accuracy of 92.85% has been obtained. By mixing the data augmentation with the public database and training with the EEGNet, we obtained a classification model with significantly higher accuracy for the specific individual. The experiments have demonstrated that we can circumvent the subject-independent problem in sleep EEG in this way and use only a small amount of labeled data to customize a dedicated classification model with high accuracy.

A General and Convenient Peptide Self-Assembling Mechanism for Developing Supramolecular Versatile Nanomaterials Based on The Biosynthetic Hybrid Amyloid-Resilin Protein.

Self-assembling peptides are valuable building blocks to fabricate supramolecular biomaterials, which have broad applications from biomedicine to biotechnology. However, limited choices to induce different globular proteins into hydrogels hinder these designs. Here, an easy-to-implement and tunable self-assembling strategy, which employs Ure2 amyloidogenic peptide, are described to induce any target proteins to assemble into supramolecular hydrogels alone or in combination with notable compositional control. Furthermore, the collective effect of nanoscale interactions among amyloid nanofibrils and partially disordered elastomeric polypeptides are investigated. This led to many useful macroscopic material properties simultaneously emerging from one pure protein material, i.e. strong adhesion to any substrates under wet conditions, rapidly self--assembling into robust and porous hydrogels, adaptation to remodeling processes, strongly promoting cell adhesion, proliferation and differentiation. Moreover, he demonstrated this supramolecular material's robust performance in vitro and vivo for tissue engineering, cosmetic and hemostasis applications and exhibited superior performance compared to corresponding commercial counterparts. To the best of his knowledge, few pure protein-based materials could meet such seemingly mutually exclusive properties simultaneously. Such versatility renders this novel supramolecular nanomaterial as next-generation functional protein-based materials, and he demonstrated the sequence level modulation of structural order and disorder as an untapped principle to design new proteins.

Femtosecond superradiant emission in AlGaInAs quantum-well semiconductor laser structures.

Ultrashort superradiant pulse generation from a 1580 nm AlGaInAs multiple quantum-well (MQW) semiconductor structure has been experimentally demonstrated for the first time. Superradiance is confirmed by analyzing the evolution of the optical temporal waveforms and spectra. Superradiant trends and regimes are studied as a function of driving condition. An optical pulse train is obtained at 1580 nm wavelength, with pulse durations as short as 390 fs and pulse peak powers of 7.2 W.

[Effects of Guilin Watermelon Frost on the mRNA expressions of basic fibroblast growth factor in patients with uterine cervical columnar ectopy].

OBJECTIVE: To study the molecular biological effects of Guilin Watermelon Frost (GWF) on the mRNA expressions of basic fibroblast growth factor (bFGF) in patients with uterine uterine cervical columnar ectopy. METHODS: One hundred and sixty patients with uterine cervical columnar ectopy were assigned to two groups by the random digit table. Patients in the treatment group were treated with local spray of GWF, while those in the control group were local applied with bFGF-collagen sponge. The mRNA expressions of bFGF of the uterine tissue were detected in the two groups before and after treatment using RT-PCR. RESULTS: Before treatment the mRNA expression of bFGF in the uterine cervical columnar ectopy was 0.55 +/- 0.10 in the treatment group and 0.58 +/- 0.13 in the control group, without insignificant difference (P > 0.05). After treatment it significantly increased in the two groups, being 0.82 +/- 0.17 and 0.78 +/- 0.15 respectively, showing statistical difference from before treatment (P < 0.01). But no statistical difference existed between the two groups after treatment (P > 0.05). CONCLUSION: GWF showed enhancement on the mRNA expressions of bFGF in patients with uterine cervical columnar ectopy.