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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: This paper presents an alternative approach to steganalysis of digital images based on convolutional neural network (CNN), which is shown to be able to well replicate and optimize these key steps in a unified framework and learn hierarchical representations directly from raw images.
Abstract: Nowadays, the prevailing detectors of steganographic communication in digital images mainly consist of three steps, ie, residual computation, feature extraction, and binary classification In this paper, we present an alternative approach to steganalysis of digital images based on convolutional neural network (CNN), which is shown to be able to well replicate and optimize these key steps in a unified framework and learn hierarchical representations directly from raw images The proposed CNN has a quite different structure from the ones used in conventional computer vision tasks Rather than a random strategy, the weights in the first layer of the proposed CNN are initialized with the basic high-pass filter set used in the calculation of residual maps in a spatial rich model (SRM), which acts as a regularizer to suppress the image content effectively To better capture the structure of embedding signals, which usually have extremely low SNR (stego signal to image content), a new activation function called a truncated linear unit is adopted in our CNN model Finally, we further boost the performance of the proposed CNN-based steganalyzer by incorporating the knowledge of selection channel Three state-of-the-art steganographic algorithms in spatial domain, eg, WOW, S-UNIWARD, and HILL, are used to evaluate the effectiveness of our model Compared to SRM and its selection-channel-aware variant maxSRMd2, our model achieves superior performance across all tested algorithms for a wide variety of payloads

483 citations

Journal ArticleDOI
TL;DR: Experienced surgeons can safely perform LG with D2 lymphadenectomy for AGC, and the morbidity and mortality within 30 days after surgery between the LG and OG groups were compared on the basis of the modified intention-to-treat principle.
Abstract: PurposeThe safety and efficacy of radical laparoscopic distal gastrectomy (LG) with D2 lymphadenectomy for the treatment of advanced gastric cancer (AGC) remain controversial. We conducted a randomized controlled trial to compare laparoscopic and conventional open distal gastrectomy with D2 lymph node dissections for AGC.Patients and MethodsBetween September 2012 and December 2014, 1,056 patients with clinical stage T2-4aN0-3M0 gastric cancer were eligible for inclusion. They were randomly assigned to either the LG with D2 lymphadenectomy group (n = 528) or the open gastrectomy (OG) with D2 lymphadenectomy group (n = 528). Fifteen experienced surgeons from 14 institutions in China participated in the study. The morbidity and mortality within 30 days after surgery between the LG (n = 519) and the OG (n = 520) groups were compared on the basis of the modified intention-to-treat principle. Postoperative complications were stratified according to the Clavien-Dindo classification.ResultsThe compliance rates of...

483 citations

Journal ArticleDOI
TL;DR: The preliminary data show that only about 25% of patients who died were intubated and received mechanical ventilation, and an equally great problem is the shortage of trained personnel to treat these critically ill patients.
Abstract: Lack of critical care resource in face of COVID‐19 epidemics Based on data reported by the National Health Commission of China, there have been about 2000 new confirmed cases and > 4000 suspected cases daily over the past week in Wuhan [3]. About 15% of the patients have developed severe pneumonia, and about 6% need noninvasive or invasive ventilatory support. Currently, there are about 1000 patients who need ventilatory support and another 120 new patients daily who require noninvasive or invasive ventilation support in Wuhan city; however, there are only about 600 ICU beds [4]. To address this shortfall, 70 ICU beds were created from general beds and the government quickly transformed three general hospitals to critical care hospitals with a total of about 2500 beds that specialize in patients with severe SARS-CoV-2 pneumonia (equipped with monitors and high-flow nasal cannula, noninvasive ventilator or invasive ventilators). An equally great (or potentially greater) problem is the shortage of trained personnel to treat these critically ill patients. Until the crisis, there were about 300 ICU physicians and 1000 ICU nurses in Wuhan city. By the end of January, more than 600 additional ICU doctors and 1500 ICU nurses were transferred to Wuhan from the rest of China. As well, an additional 3000 staff including infectious disease, respiratory, internal medicine physicians and nurses were transferred to Wuhan by the government. There are logistical issues which make care of the patients difficult. These include donning of personal protective equipment (e.g., gloves, gowns, respiratory and eye protection), lack of instruments and disposables, and shortages of supplemental oxygen. Many severe hypoxemic patients only receive high-flow nasal oxygen (HFNO) or noninvasive mechanical ventilation rather than invasive mechanical ventilation because of intubation delay or lack of mechanical ventilators (especially at early phase). Our preliminary data show that only about 25% of patients who died were intubated and received mechanical ventilation.

482 citations

Journal ArticleDOI
TL;DR: Eight new PCOS association signals are identified that show evidence of enrichment for candidate genes related to insulin signaling, sexual hormone function and type 2 diabetes (T2D) and other candidate genes were related to calcium signaling and endocytosis.
Abstract: Following a previous genome-wide association study (GWAS 1) including 744 cases and 895 controls, we analyzed genome-wide association data from a new cohort of Han Chinese (GWAS 2) with 1,510 polycystic ovary syndrome (PCOS) cases and 2,016 controls. We followed up significantly associated signals identified in the combined results of GWAS 1 and 2 in a total of 8,226 cases and 7,578 controls. In addition to confirming the three loci we previously reported, we identify eight new PCOS association signals at P < 5 × 10(-8): 9q22.32, 11q22.1, 12q13.2, 12q14.3, 16q12.1, 19p13.3, 20q13.2 and a second independent signal at 2p16.3 (the FSHR gene). These PCOS association signals show evidence of enrichment for candidate genes related to insulin signaling, sexual hormone function and type 2 diabetes (T2D). Other candidate genes were related to calcium signaling and endocytosis. Our findings provide new insight and direction for discovering the biological mechanisms of PCOS.

481 citations

Journal ArticleDOI
TL;DR: The fabricated P-NiCo2 O4-x //Zn battery presents an impressive specific capacity of 361.3 mAh g-1 at the high current density and extremely high energy density and power density are achieved, which outperforms most of the previously reported aqueous Zn-ion batteries.
Abstract: The development of high-capacity, Earth-abundant, and stable cathode materials for robust aqueous Zn-ion batteries is an ongoing challenge. Herein, ultrathin nickel cobaltite (NiCo2 O4 ) nanosheets with enriched oxygen vacancies and surface phosphate ions (P-NiCo2 O4-x ) are reported as a new high-energy-density cathode material for rechargeable Zn-ion batteries. The oxygen-vacancy and surface phosphate-ion modulation are achieved by annealing the pristine NiCo2 O4 nanosheets using a simple phosphating process. Benefiting from the merits of substantially improved electrical conductivity and increased concentration of active sites, the optimized P-NiCo2 O4-x nanosheet electrode delivers remarkable capacity (309.2 mAh g-1 at 6.0 A g-1 ) and extraordinary rate performance (64% capacity retention at 60.4 A g-1 ). Moreover, based on the P-NiCo2 O4-x cathode, our fabricated P-NiCo2 O4-x //Zn battery presents an impressive specific capacity of 361.3 mAh g-1 at the high current density of 3.0 A g-1 in an alkaline electrolyte. Furthermore, extremely high energy density (616.5 Wh kg-1 ) and power density (30.2 kW kg-1 ) are also achieved, which outperforms most of the previously reported aqueous Zn-ion batteries. This ultrafast and high-energy aqueous Zn-ion battery is promising for widespread application to electric vehicles and intelligent devices.

481 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