Beihang University

About: Beihang University is a education organization based out in Beijing, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 67002 authors who have published 73507 publications receiving 975691 citations. The organization is also known as: Beijing University of Aeronautics and Astronautics.

Alloy Acceptor: Superior Alternative to PCBM toward Efficient and Stable Organic Solar Cells.

Abstract: The alloy acceptor (indene-C60 bis-adduct (ICBA)/[6,6]-phenyl-C71 -butyric acid-methyl-ester (PC71 BM)) is employed to replace the widely used fullerene acceptor (PC71 BM) in organic solar cells based on five different polymer donors, which exhibit a higher efficiency and much better device stability than the PC71 BM counterpart.

Monitoring autophagic flux by an improved tandem fluorescent-tagged LC3 (mTagRFP-mWasabi-LC3) reveals that high-dose rapamycin impairs autophagic flux in cancer cells.

Abstract: Monitoring autophagic flux is important for the analysis of autophagy. Tandem fluorescent-tagged LC3 (mRFP-EGFP-LC3) is a convenient assay for monitoring autophagic flux based on different pH stability of EGFP and mRFP fluorescent proteins. However, it has been reported that there is still weak fluorescence of EGFP in acidic environments (pH between 4 and 5) or acidic lysosomes. So it is possible that autolysosomes are labeled with yellow signals (GFP(+)RFP(+) puncta), which results in misinterpreting autophagic flux results. Therefore, it is desirable to choose a monomeric green fluorescent protein that is more acid sensitive than EGFP in the assay of autophagic flux. Here, we report on an mTagRFP-mWasabi-LC3 reporter, in which mWasabi is more acid sensitive than EGFP and has no fluorescence in acidic lysosomes. Meanwhile, mTagRFP-mWasabi-LC3ΔG was constructed as the negative control for this assay. Compared with mRFP-EGFP-LC3, our results showed that this reporter is more sensitive and accurate in detecting the accumulation of autophagosomes and autolysosomes. Using this reporter, we find that high-dose rapamycin (30 μM) will impair autophagic flux, inducing many more autophagosomes than autolysosomes in HeLa cells, while low-dose rapamycin (500 nM) has an opposite effect. In addition, other chemical autophagy inducers (cisplatin, staurosporine and Z18) also elicit much more autophagosomes at high doses than those at low doses. Our results suggest that the dosage of chemical autophagy inducers would obviously influence autophagic flux in cells.

Super-Resolution for Remote Sensing Images via Local–Global Combined Network

Abstract: Super-resolution is an image processing technology that recovers a high-resolution image from a single or sequential low-resolution images Recently deep convolutional neural networks (CNNs) have made a huge breakthrough in many tasks including super-resolution In this letter, we propose a new single-image super-resolution algorithm named local–global combined networks (LGCNet) for remote sensing images based on the deep CNNs Our LGCNet is elaborately designed with its “multifork” structure to learn multilevel representations of remote sensing images including both local details and global environmental priors Experimental results on a public remote sensing data set (UC Merced) demonstrate an overall improvement of both accuracy and visual performance over several state-of-the-art algorithms