scispace - formally typeset
Search or ask a question
Institution

Sichuan University

EducationChengdu, China
About: Sichuan University is a education organization based out in Chengdu, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 107623 authors who have published 102844 publications receiving 1612131 citations. The organization is also known as: Sìchuān Dàxué.
Topics: Catalysis, Population, Medicine, Cancer, Chemistry


Papers
More filters
Journal ArticleDOI
TL;DR: The results suggest that IL-17 and TNF-α act individually rather than cooperatively through activation of NF-κB and ERK1/2 signaling to up-regulate PD-L1 expression in HCT116 cells, while the two inflammatory cytokines act through activation in the presence of AKT activity.

208 citations

Journal ArticleDOI
TL;DR: The results show that calcium phosphate ceramics are osteoinductive in muscles of dogs, and the induced bone in both HA and BCP ceramic did neither disappear nor grow uncontrollably during the period as long as 2.5 years.

208 citations

Journal ArticleDOI
TL;DR: This study provides a connection between two different models based on linguistic 2-tuples and proves the equivalence of the linguistic computational models to handle ULTSs, and proposes a novel CW methodology where the hesitant fuzzy linguistic term sets (HFLTSs) can be constructed based on ULtss using a numerical scale.

208 citations

Proceedings Article
09 Jul 2016
TL;DR: This paper proposes a novel subspace clustering method -- deeP subspAce clusteRing with sparsiTY prior with PARTY -- based on a new deep learning architecture that explicitly learns to progressively transform input data into nonlinear latent space and to be adaptive to the local and global subspace structure simultaneously.
Abstract: Subspace clustering aims to cluster unlabeled samples into multiple groups by implicitly seeking a subspace to fit each group. Most of existing methods are based on a shallow linear model, which may fail in handling data with nonlinear structure. In this paper, we propose a novel subspace clustering method -- deeP subspAce clusteRing with sparsiTY prior (PARTY) -- based on a new deep learning architecture. PARTY explicitly learns to progressively transform input data into nonlinear latent space and to be adaptive to the local and global subspace structure simultaneously. In particular, considering local structure, PARTY learns representation for the input data with minimal reconstruction error. Moreover, PARTY incorporates a prior sparsity information into the hidden representation learning to preserve the sparse reconstruction relation over the whole data set. To the best of our knowledge, PARTY is the first deep learning based subspace clustering method. Extensive experiments verify the effectiveness of our method.

208 citations

Journal ArticleDOI
TL;DR: In this article, a PMJ sustained in a quasi-steady gas cavity in a liquid medium is used to inactivate Staphylococcus aureus suspended in the liquid.
Abstract: A direct-current, cold-atmospheric-pressure air plasma microjet (PMJ) sustained in a quasi-steady gas cavity in a liquid medium is used to inactivate Staphylococcus aureus (S. aureus) suspended in the liquid. The temperature and the pH value of the liquid change to steady-state values of about 40 °C and 3.0–4.5, respectively, after 10 min of plasma treatment. The decrease in the pH is attributed to the reaction of NOx produced in the air plasma with water at the gas–liquid interface. The concentrations of NO and NO are measured to be 37 mg · L−1 and 21 mg · L−1, respectively, after a 20 min of plasma treatment. Effective inactivation of S. aureus is found to start after the pH values decreases to about 4.5. This is attributed to the high oxidizing potential of the perhydroxyl radical (HOO•) on the fatty acid in the cell membranes of the microorganisms in the liquid.

208 citations


Authors

Showing all 108474 results

NameH-indexPapersCitations
Jie Zhang1784857221720
Robin M. Murray1711539116362
Xiang Zhang1541733117576
Rui Zhang1512625107917
Xiaoyuan Chen14999489870
Yi Yang143245692268
Xinliang Feng13472173033
Chuan He13058466438
Lei Zhang130231286950
Jian Zhou128300791402
Shaobin Wang12687252463
Yi Xie12674562970
Pak C. Sham124866100601
Wei Chen122194689460
Bo Wang119290584863
Network Information
Related Institutions (5)
Shanghai Jiao Tong University
184.6K papers, 3.4M citations

94% related

Zhejiang University
183.2K papers, 3.4M citations

94% related

Fudan University
117.9K papers, 2.6M citations

93% related

Nanjing University
105.5K papers, 2.2M citations

93% related

Peking University
181K papers, 4.1M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023339
20221,713
202113,849
202011,702
20199,714
20187,906