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Zixun Xiong,Minghua Wan,Rui Xue,Guowei Yang 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.9
Two dimensional locality preserving projections (2D-LPP) is an improved algorithm of 2D image to solve the small sample size (SSS) problems which locality preserving projections (LPP) meets. It’s able to find the low dimension manifold mapping that not only preserves local information but also detects manifold embedded in original data spaces. However, 2D-LPP is simple and elegant. So, inspired by the comparison experiments between two dimensional linear discriminant analysis (2D-LDA) and linear discriminant analysis (LDA) which indicated that matrix based methods don’t always perform better even when training samples are limited, we surmise 2D-LPP may meet the same limitation as 2D-LDA and propose a novel matrix exponential method to enhance the performance of 2D-LPP. 2D-MELPP is equivalent to employing distance diffusion mapping to transform original images into a new space, and margins between labels are broadened, which is beneficial for solving classification problems. Nonetheless, the computational time complexity of 2D-MELPP is extremely high. In this paper, we replace some of matrix multiplications with multiple multiplications to save the memory cost and provide an efficient way for solving 2D-MELPP. We test it on public databases: random 3D data set, ORL, AR face database and Polyu Palmprint database and compare it with other 2D methods like 2D-LDA, 2D-LPP and 1D methods like LPP and exponential locality preserving projections (ELPP), finding it outperforms than others in recognition accuracy. We also compare different dimensions of projection vector and record the cost time on the ORL, AR face database and Polyu Palmprint database. The experiment results above proves that our advanced algorithm has a better performance on 3 independent public databases.
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Setosphapyrone C and D accelerate macrophages cholesterol effl ux by promoting LXRa/ABCA1 pathway
Ting Li,Jiayu Yin,Yubin Ji,Ping Lin,Yanjie Li,Zixun Yang,Shumei Hu,Jin Wang,Baihui Zhang,Saloni Koshti,Junfeng Wang,Chenfeng Ji,Shoudong Guo 대한약학회 2020 Archives of Pharmacal Research Vol.43 No.8
LXRα agonists have attracted signifi cant attentiondue to their potential biological activities on promotingcholesterol effl ux. This study was designed to investigatewhether setosphapyrone C and D have potential lipid-loweringcapacity and the underlying mechanisms in vitro. Ourdata showed that setosphapyrone C and D had weak cytotoxicitycompared to the liver X receptor α (LXRα) agonistT0901317. In RAW 264.7 macrophages, setosphapyroneC and D signifi cantly enhanced [ 3 H]-cholesterol effl ux by~ 21.3% and 32.4%, respectively; furthermore, setosphapyroneC and D enhanced the protein levels of ATP-bindingcassette transporter (ABC) A1 and LXRα by 58% and 69%,and 60% and 70% (8 μM), respectively; however, they had noeff ect on the protein levels of ABCG1 and scavenger receptorB type 1; additionally, they had minor eff ect on the mRNAexpression of lipogenic genes. Of note, setosphapyrone C and D signifi cantly enhanced LXRα/ABCA1pathway inmice primary macrophages. In BRL cells, setosphapyroneC and D signifi cantly improved the protein levels of ABCA1and ABCG1; setosphapyrone D signifi cantly enhanced theprotein expression of low-density lipoprotein. Collectively,setosphapyrone C and D with weak cytotoxicity exhibitedeff ective lipid-lowering eff ect via enhancing LXRα/ABCpathways. Setosphapyrones possess potential applicationfor the treatment of hyperlipidemic diseases.
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