scispace - formally typeset
Search or ask a question
Institution

Nanchang University

EducationNanchang, China
About: Nanchang University is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Population & Cancer. The organization has 35808 authors who have published 26148 publications receiving 357348 citations. The organization is also known as: Nánchāng Dàxué.
Topics: Population, Cancer, Cell growth, Catalysis, Apoptosis


Papers
More filters
Journal ArticleDOI
TL;DR: In this study, transferrin (Tf)-conjugated polyethylene glycol (PEG)-poly-l-lysine (PLL)-poly(lactic-co-glycolic acid) (PLGA)-based micellar formulations were successfully prepared for the delivery of edelfosine (EDS) in leukemia treatment and significantly prolonged the circulation profile of EDS throughout until 24h, indicating the potential of targeted nanoparticulate delivery system.

14 citations

Journal ArticleDOI
TL;DR: Five species of Eustigmseus are reported from Jiangxi, of which E. segnis (Koch) is a new record from China and three spccies, E. gulingensis Hu and Chen and E. jiangxiensisHu and Chen are new.
Abstract: Five species of Eustigmseus are reported from Jiangxi, of which E. segnis (Koch) is a new record from China and three spccies, E. logngi Hu and Chen, E. gulingensis Hu and Chen and E. jiangxiensis Hu and Chen are new. An identification key to females of the five species is given.

14 citations

Journal ArticleDOI
TL;DR: In vivo breath analysis of creatinine has been demonstrated by constructing a novel platform based on extractive electrospray ionization mass spectrometry (EESI-MS) without sample pretreatment to provide high sensitivity, high specificity and high speed for semi-quantitative analysis of Creatinine in exhaled human breath.
Abstract: Exhaled breath contains chemicals that have a diagnostic value in human pathologies. Here in vivo breath analysis of creatinine has been demonstrated by constructing a novel platform based on extractive electrospray ionization mass spectrometry (EESI-MS) without sample pretreatment. Under optimized experimental conditions, the limit of creatinine detection in breath was 30.57 ng L(-1), and the linear range of detection was from 0.3 μg L(-1) to 100 μg L(-1). The concentration range of creatinine in the exhaled breath of 50 volunteers with chronic kidney disease was from 42 pptv to 924 pptv, and the range of the relative standard deviations was from 9.3% to 19.2%. The method provides high sensitivity, high specificity and high speed for semi-quantitative analysis of creatinine in exhaled human breath.

14 citations

Journal ArticleDOI
TL;DR: A novel network is presented, VPNet, which ensembles voxel and pixel representation-based networks, to predict class probabilities for each light detection and ranging (LiDAR) point, to set a new state of the art on the ISPRS 3-D Semantic Labeling Contest.
Abstract: Semantic labeling is a fundamental task that can provide useful semantics for many other 3-D processing tasks. To tackle the challenge of airborne laser scanning (ALS) point cloud classification, current state-of-the-art methods leverage the capabilities of deep learning. However, they are limited due to the weaknesses of the isolated use of individual representations of point clouds. To address this issue, this letter presents a novel network, VPNet, which ensembles voxel and pixel representation-based networks, to predict class probabilities for each light detection and ranging (LiDAR) point. A fully connected conditional random field-based global refinement is then performed over each point in the point cloud to produce a fine-grained classification result. On the ISPRS 3-D Semantic Labeling Contest, our solution sets a new state of the art by improving the highest average F1-score and the highest average per-class accuracy from 69.3% to 73.9%, and 69.0% to 74.9%, respectively. The overall accuracy of our approach is 84.0%.

14 citations

Journal ArticleDOI
TL;DR: In this article, bismuth bromideoxide (BiOBr), a typical visible-light photocatalyst, was coated with Zr-based MOFs (UiO-66) to prepare the BiOBr@UiOs66 photocatalysts with different mole ratios by the solvothermal method.
Abstract: In this work, bismuth bromideoxide (BiOBr), a typical visible-light photocatalyst, was coated with Zr-based MOFs (UiO-66) to prepare the BiOBr@UiO-66 photocatalysts with different mole ratios by the solvothermal method. The core–shell BiOBr@UiO-66 photocatalysts with abundant activated sites was obtained due to the modification of UiO-66 on the surface of BiOBr. The structure and properties of the BiOBr@UiO-66 photocatalysts were characterized by several methods. The 30% BiOBr@UiO-66 photocatalysts exhibited the biggest photodegradation rate constant (k = 0.0669 min−1) for RhB under visible-light irradiation than pure BiOBr (k = 0.0281 min−1) and UiO-66 (k = 0.0041 min−1). Additionally, the 30% BiOBr@UiO-66 photocatalysts exhibited the enhanced photocatalytic activity and stable recyclability due to the effective electron-hole separation and synergistic effect. The photocatalytic mechanism of the BiOBr@UiO-66 photocatalysts for RhB, which contained a photosensitization process, was discussed with the trapping experiment of active species and the proposed energy band alignments.

14 citations


Authors

Showing all 35970 results

NameH-indexPapersCitations
Rui Zhang1512625107917
Zhen Li127171271351
Xuan Zhang119153065398
Wei Xu103149249624
Wei Chen103143844994
Jian Chen96171852917
Peng Li95154845198
Yu Wang92168747472
Xiaojun Wu91108831687
Aiwen Lei8756926268
Yen Wei8564925805
Bo Li8389128722
Zhigang Shuai8142423039
Tianxi Liu8141121036
Jiquan Chen8046827525
Network Information
Related Institutions (5)
Shandong University
99.1K papers, 1.6M citations

93% related

Sun Yat-sen University
113.7K papers, 2.2M citations

92% related

Zhejiang University
183.2K papers, 3.4M citations

92% related

Shanghai Jiao Tong University
184.6K papers, 3.4M citations

92% related

Nanjing University
105.5K papers, 2.2M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022306
20213,877
20203,667
20192,818
20182,315