Institution
Sun Yat-sen University
Education•Guangzhou, Guangdong, China•
About: Sun Yat-sen University is a education organization based out in Guangzhou, Guangdong, China. It is known for research contribution in the topics: Population & Cancer. The organization has 115149 authors who have published 113763 publications receiving 2286465 citations. The organization is also known as: Zhongshan University & SYSU.
Topics: Population, Cancer, Medicine, Cell growth, Metastasis
Papers published on a yearly basis
Papers
More filters
••
14 Jun 2020TL;DR: This paper first analyzes the correlation between saliency and contour, then proposes an interactive two-stream decoder to explore multiple cues, including saliency, contour and their correlation, and develops an adaptive contour loss to automatically discriminate hard examples during learning process.
Abstract: Recently, contour information largely improves the performance of saliency detection. However, the discussion on the correlation between saliency and contour remains scarce. In this paper, we first analyze such correlation and then propose an interactive two-stream decoder to explore multiple cues, including saliency, contour and their correlation. Specifically, our decoder consists of two branches, a saliency branch and a contour branch. Each branch is assigned to learn distinctive features for predicting the corresponding map. Meanwhile, the intermediate connections are forced to learn the correlation by interactively transmitting the features from each branch to the other one. In addition, we develop an adaptive contour loss to automatically discriminate hard examples during learning process. Extensive experiments on six benchmarks well demonstrate that our network achieves competitive performance with a fast speed around 50 FPS. Moreover, our VGG-based model only contains 17.08 million parameters, which is significantly smaller than other VGG-based approaches. Code has been made available at: https://github.com/moothes/ITSD-pytorch.
267 citations
••
TL;DR: Proline-rich transmembrane protein 2 (PRRT2) is identified as the first causative gene of paroxysmal kinesigenic dyskinesias by using a combination of exome sequencing and linkage analysis, warranting further investigations to understand the pathogenesis of this disorder.
Abstract: Paroxysmal kinesigenic dyskinesias is a paroxysmal movement disorder characterized by recurrent, brief attacks of abnormal involuntary movements induced by sudden voluntary movements. Although several loci, including the pericentromeric region of chromosome 16, have been linked to paroxysmal kinesigenic dyskinesias, the causative gene has not yet been identified. Here, we identified proline-rich transmembrane protein 2 (PRRT2) as a causative gene of paroxysmal kinesigenic dyskinesias by using a combination of exome sequencing and linkage analysis. Genetic linkage mapping with 11 markers that encompassed the pericentromeric of chromosome 16 was performed in 27 members of two families with autosomal dominant paroxysmal kinesigenic dyskinesias. Then, the whole-exome sequencing was performed in three patients from these two families. By combining the defined linkage region (16p12.1-q12.1) and the results of exome sequencing, we identified an insertion mutation c.649_650InsC (p.P217fsX7) in one family and a nonsense mutation c.487C>T (p.Q163X) in another family. To confirm our findings, we sequenced the exons and flanking introns of PRRT2 in another three families with paroxysmal kinesigenic dyskinesias. The c.649_650InsC (p.P217fsX7) mutation was identified in two of these families, whereas a missense mutation, c.796C>T (R266W), was identified in another family with paroxysmal kinesigenic dyskinesias. All of these mutations completely co-segregated with the phenotype in each family. None of these mutations was identified in 500 normal unaffected individuals of matched geographical ancestry. Thus, we have identified PRRT2 as the first causative gene of paroxysmal kinesigenic dyskinesias, warranting further investigations to understand the pathogenesis of this disorder.
267 citations
••
TL;DR: The Sydney School has long been recognized as one of the three major approaches to genre pedagogy for language instruction as discussed by the authors, and it has been used extensively in English language instruction.
Abstract: The Sydney School has long been recognized as one of the three major approaches to genre pedagogy for language instruction (Hyon, 1996). Rose and Martin’s latest book provides a detailed account of...
267 citations
••
TL;DR: Conurrent chemotherapy and radiotherapy is associated with a considerable survival benefit for patients with stage II NPC, and the number of chemotherapy cycles was the only independent factor that was associated with OS, PFS, and distant control.
Abstract: Background Concurrent chemoradiotherapy (CCRT) has been shown to improve outcomes for stage III–IV nasopharyngeal carcinoma (NPC) patients compared with radiotherapy (RT) alone, but the effectiveness of the combined therapy for stage II NPC patients is unknown. Methods Patients with Chinese 1992 stage II NPC were randomly assigned to receive either RT alone (n = 114) or CCRT (n = 116). The CCRT patients were given concurrent cisplatin (30 mg/m 2 on day 1) weekly during RT. The primary endpoint was overall survival (OS). Secondary endpoints were progression-free survival (PFS), distant metastasis-free survival, and locoregional relapse-free survival. All patients were analyzed by the intent-to-treat principle. The Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) and in multivariable analyses to test the independent statistical significance of treatment intervention. Toxic effects and the response to treatment were analyzed using the x 2 test. All statistical tests were two-sided. Results With a median follow-up of 60 months, adding chemotherapy statistically significantly improved the 5-year OS rate (94.5% vs 85.8%; HR of death = 0.30, 95% CI = 0.12 to 0.76; P = .007), PFS (87.9% vs 77.8%; HR of progression = 0.45, 95% CI = 0.23 to 0.88; P = .017), and distant metastasis-free survival (94.8% vs 83.9%; HR of distant relapse = 0.27, 95% CI = 0.10 to 0.74; P = .007); however, there was no statistically significant difference in the 5-year locoregional relapse-free survival rate (93.0% vs 91.1%; HR of locoregional relapse = 0.61, 95% CI = 0.25 to 1.51; P = .29). Multivariable analysis showed that the number of chemotherapy cycles was the only independent factor that was associated with OS, PFS, and distant control in stage II NPC. The CCRT arm experienced statistically significantly more acute toxic effects (P = .001), although the rate of late toxic effects did not increase statistically significantly. Conclusion Concurrent chemotherapy and radiotherapy is associated with a considerable survival benefit for patients with
267 citations
••
Sun Yat-sen University1, Zhejiang University2, Peking University3, Chinese PLA General Hospital4, Huazhong University of Science and Technology5, Sichuan University6, Zhengzhou University7, Fudan University8, Fujian Medical University9, Harbin Medical University10, Nanjing Medical University11, China Medical University (PRC)12, Jilin University13, Shantou University14, Shanghai Jiao Tong University15
TL;DR: Toripalimab has demonstrated a manageable safety profile and promising antitumor activity in AGC patients, especially in combination with XELOX, and high TMB may be a predictive marker for OS ofAGC patients receiving toripalimrab as a single agent.
267 citations
Authors
Showing all 115971 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Jing Wang | 184 | 4046 | 202769 |
Yang Gao | 168 | 2047 | 146301 |
Yang Yang | 164 | 2704 | 144071 |
Peter Carmeliet | 164 | 844 | 122918 |
Frank J. Gonzalez | 160 | 1144 | 96971 |
Xiang Zhang | 154 | 1733 | 117576 |
Rui Zhang | 151 | 2625 | 107917 |
Seeram Ramakrishna | 147 | 1552 | 99284 |
Joseph J.Y. Sung | 142 | 1240 | 92035 |
Joseph Lau | 140 | 1048 | 99305 |
Bin Liu | 138 | 2181 | 87085 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Kwok-Yung Yuen | 137 | 1173 | 100119 |
Shu Li | 136 | 1001 | 78390 |