University of Electronic Science and Technology of China

About: University of Electronic Science and Technology of China is a education organization based out in Chengdu, China. It is known for research contribution in the topics: Antenna (radio) & Dielectric. The organization has 50594 authors who have published 58502 publications receiving 711188 citations. The organization is also known as: UESTC.

Super-robust superhydrophobic concrete

Abstract: Steel reinforced concrete is often used in buildings, roads and bridges, however, freeze–thaw damage and steel corrosion pose threats to the strength of concrete. Furthermore, ice formation on concrete road-surfaces greatly increases injury and fatality rates. Superhydrophobic materials are promising candidates to alleviate these problems due to their anti-corrosion and anti-icing properties. However, the weak mechanical robustness of superhydrophobic surfaces makes them difficult to apply to concrete surfaces. Here we report a facile route to fabricate superhydrophobic concrete (S-concrete) via metal mesh covering and fluoroalkylsilane modification. Comparative robustness tests, including sandpaper abrasion, knife scratch and hammer beat, were performed on commercial superhydrophobic paint + adhesive coatings and our S-concrete, which indicated that our S-concrete had far superior surface mechanical durability. To illustrate the practical prospects, we performed further tests on the S-concrete, including artificial cold rain, freeze–thaw, and corrosion under applied voltage in corrosive solution. The S-concrete showed remarkable anti-icing, anti-freeze–thaw, and anti-corrosion properties, and mechanical robustness.

Exosome-orchestrated hypoxic tumor microenvironment.

Abstract: Hypoxic tumor microenvironment is a common feature of solid tumors and is associated with aggressiveness and poor patient outcomes. A continuous interference between cancer cells and stromal cells within the hypoxic microenvironment has been uncovered for its importance in cancer development and treatment responsiveness. Exosomes, initially considered as “garbage bins” for unwanted material from cells, are now elucidated to perform a variety of functions that involve interactions within the cellular microenvironment due to their ability to carry numerous cargoes, including lipids, proteins, nucleic acids, and metabolites. Exosome-mediated continuous interference between cancer cells and stroma are believed to regulate hypoxia-adaptation and to rebuild the microenvironment in return. In this review, we will discuss the knowledge in literature with respect to the exosome-mediated multi-directional and mutual signal transmission among the variety of cell types within hypoxic cancer microenvironment.

Electrophysiological Brain Connectivity: Theory and Implementation

Abstract: We review the theory and algorithms of electrophysiological brain connectivity analysis. This tutorial is aimed at providing an introduction to brain functional connectivity from electrophysiological signals, including electroencephalography, magnetoencephalography, electrocorticography, and stereoelectroencephalography. Various connectivity estimators are discussed, and algorithms introduced. Important issues for estimating and mapping brain functional connectivity with electrophysiology are discussed.

Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition

Abstract: Promoters are DNA regulatory elements located directly upstream or at the 5’ end of the transcription initiation site (TSS), which are in charge of gene transcription initiation. With the completion of a large number of microorganism genomics, it is urgent to predict promoters accurately in bacteria by using the computational method. In this work, a sequence-based predictor named “iPro70-PseZNC” was designed for identifying sigma70 promoters in prokaryote. In the predictor, the samples of DNA sequences are formulated by a novel pseudo nucleotide composition, called PseZNC, into which the multi-window Z-curve composition and six local DNA structural properties are incorporated. In the 5-fold cross-validation, the area under the curve of receiver operating characteristic of 0.909 was obtained on our benchmark dataset, indicating that the proposed predictor is promising and will provide an important guide in this area. Further studies showed that the performance of PseZNC is better than it of multi-window Z-curve composition. For the sake of convenience for researchers, a user-friendly online service was established and can be freely accessible at http://lin.uestc.edu.cn/server/iPro70-PseZNC. The PseZNC approach can be also extended to other DNA-related problems.