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Institution

Sun Yat-sen University

EducationGuangzhou, 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, Metastasis, Cell growth, Apoptosis


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate a Mach-Zehnder modulator with high linearity, high bandwidth, and low manufacturing cost on a silicon and lithium niobate hybrid integration platform.
Abstract: Optical modulators are at the heart of optical communication links. Ideally, they should feature low loss, low drive voltage, large bandwidth, high linearity, compact footprint and low manufacturing cost. Unfortunately, these criteria have been achieved only on separate occasions. Based on a silicon and lithium niobate hybrid integration platform, we demonstrate Mach–Zehnder modulators that simultaneously fulfil these criteria. The presented device exhibits an insertion loss of 2.5 dB, voltage–length product of 2.2 V cm in single-drive push–pull operation, high linearity, electro-optic bandwidth of at least 70 GHz and modulation rates up to 112 Gbit s−1. The high-performance modulator is realized by seamless integration of a high-contrast waveguide based on lithium niobate—a popular modulator material—with compact, low-loss silicon circuitry. The hybrid platform demonstrated here allows for the combination of ‘best-in-breed’ active and passive components, opening up new avenues for future high-speed, energy-efficient and cost-effective optical communication networks. Low-loss, high-speed and efficient optical modulators on a silicon platform are demonstrated.

558 citations

Journal ArticleDOI
15 May 2007-Blood
TL;DR: It is concluded that Stat5a/b have an essential, nonredundant role in regulating Treg cells, and that Stat3 and Stat5 a/b appear to have opposing roles in the regulation of Foxp3.

556 citations

Journal ArticleDOI
TL;DR: Li et al. as mentioned in this paper investigated the relative efficiency of state versus private ownership of listed firms and the efficiency of various forms of state ownership in Chinese listed companies and found that SOECG controlled firms perform best and SAMB and private controlled firms performed worst.
Abstract: By tracing the identity of large shareholders, we group China’s listed companies into those controlled by state asset management bureaus (SAMBs), state owned enterprises (SOEs) affiliated to the central government (SOECGs), SOEs affiliated to the local government (SOELGs), and Private investors. We argue that these distinct types of owners have different objectives and motivations and this will affect how they exercise their control rights over the firms they invest in. In particular, we contend that private ownership of listed firms in China is not necessarily superior to certain types of state ownership. To test our arguments we investigate the relative efficiency of state versus private ownership of listed firms and the efficiency of various forms of state ownership. The empirical results indicate that the operating efficiency of Chinese listed companies varies across the type of controlling shareholder. SOECG controlled firms perform best and SAMB and Private controlled firms perform worst. SOELG controlled firms are in the middle. The results are consistent with our predictions.

556 citations

Journal ArticleDOI
TL;DR: In this paper, the concentrations of 16 selected polycyclic aromatic hydrocarbons (PAHs) in aerosols were quantified, and spatial and seasonal variations of PAHs were characterized.

555 citations

Journal ArticleDOI
TL;DR: The results confirm that the addition of concomitant chemotherapy to radiotherapy significantly improves survival in patients with locoregionally advanced nasopharyngeal carcinoma.
Abstract: Summary Background A previous individual patient data meta-analysis by the Meta-Analysis of Chemotherapy in Nasopharynx Carcinoma (MAC-NPC) collaborative group to assess the addition of chemotherapy to radiotherapy showed that it improves overall survival in nasopharyngeal carcinoma. This benefit was restricted to patients receiving concomitant chemotherapy and radiotherapy. The aim of this study was to update the meta-analysis, include recent trials, and to analyse separately the benefit of concomitant plus adjuvant chemotherapy. Methods We searched PubMed, Web of Science, Cochrane Controlled Trials meta-register, ClinicalTrials.gov, and meeting proceedings to identify published or unpublished randomised trials assessing radiotherapy with or without chemotherapy in patients with non-metastatic nasopharyngeal carcinoma and obtained updated data for previously analysed studies. The primary endpoint of interest was overall survival. All trial results were combined and analysed using a fixed-effects model. The statistical analysis plan was pre-specified in a protocol. All data were analysed on an intention-to-treat basis. Findings We analysed data from 19 trials and 4806 patients. Median follow-up was 7·7 years (IQR 6·2–11·9). We found that the addition of chemotherapy to radiotherapy significantly improved overall survival (hazard ratio [HR] 0·79, 95% CI 0·73–0·86, p Interpretation Our results confirm that the addition of concomitant chemotherapy to radiotherapy significantly improves survival in patients with locoregionally advanced nasopharyngeal carcinoma. To our knowledge, this is the first analysis that examines the effect of concomitant chemotherapy with and without adjuvant chemotherapy as distinct groups. Further studies on the specific benefits of adjuvant chemotherapy after concomitant chemoradiotherapy are needed. Funding French Ministry of Health (Programme d'actions integrees de recherche VADS), Ligue Nationale Contre le Cancer, and Sanofi-Aventis.

555 citations


Authors

Showing all 115971 results

NameH-indexPapersCitations
Yi Chen2174342293080
Jing Wang1844046202769
Yang Gao1682047146301
Yang Yang1642704144071
Peter Carmeliet164844122918
Frank J. Gonzalez160114496971
Xiang Zhang1541733117576
Rui Zhang1512625107917
Seeram Ramakrishna147155299284
Joseph J.Y. Sung142124092035
Joseph Lau140104899305
Bin Liu138218187085
Georgios B. Giannakis137132173517
Kwok-Yung Yuen1371173100119
Shu Li136100178390
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023349
20221,547
202115,594
202013,929
201911,766