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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: Population & Catalysis. The organization has 107623 authors who have published 102844 publications receiving 1612131 citations. The organization is also known as: Sìchuān Dàxué.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a robust co-optimization scheduling model was proposed to study the coordinated optimal operation of the two energy systems, while considering power system key uncertainties and natural gas system dynamics.
Abstract: The significant growth of gas-fired power plants and emerging power-to-gas (PtG) technology has intensified the interdependency between electricity and natural gas systems. This paper proposes a robust co-optimization scheduling model to study the coordinated optimal operation of the two energy systems. The proposed model minimizes the total costs of the two systems, while considering power system key uncertainties and natural gas system dynamics. Because of the limitation on exchanging private data and the challenge in managing complex models, the proposed co-optimization model is tackled via alternating direction method of multipliers (ADMM) by iteratively solving a power system subproblem and a gas system subproblem. The power system subproblem is solved by column-and-constraint generation (C&CG) and outer approximation (OA), and the nonlinear gas system subproblem is solved by converting into a mixed-integer linear programming model. To overcome nonconvexity of the original problem with binary variables, a tailored ADMM with a relax-round-polish process is developed to obtain high-quality solutions. Numerical case studies illustrate the effectiveness of the proposed model for optimally coordinating electricity and natural gas systems with uncertainties.

323 citations

Journal ArticleDOI
TL;DR: In this paper, a learned experts' assessment-based reconstruction network (LEARN) was proposed for sparse-data computed tomography (CT) reconstruction, which utilizes application-oriented knowledge more effectively and recovers underlying images more favorably than competing algorithms.
Abstract: Compressive sensing (CS) has proved effective for tomographic reconstruction from sparsely collected data or under-sampled measurements, which are practically important for few-view computed tomography (CT), tomosynthesis, interior tomography, and so on. To perform sparse-data CT, the iterative reconstruction commonly uses regularizers in the CS framework. Currently, how to choose the parameters adaptively for regularization is a major open problem. In this paper, inspired by the idea of machine learning especially deep learning, we unfold the state-of-the-art “fields of experts”-based iterative reconstruction scheme up to a number of iterations for data-driven training, construct a learned experts’ assessment-based reconstruction network (LEARN) for sparse-data CT, and demonstrate the feasibility and merits of our LEARN network. The experimental results with our proposed LEARN network produces a superior performance with the well-known Mayo Clinic low-dose challenge data set relative to the several state-of-the-art methods, in terms of artifact reduction, feature preservation, and computational speed. This is consistent to our insight that because all the regularization terms and parameters used in the iterative reconstruction are now learned from the training data, our LEARN network utilizes application-oriented knowledge more effectively and recovers underlying images more favorably than competing algorithms. Also, the number of layers in the LEARN network is only 50, reducing the computational complexity of typical iterative algorithms by orders of magnitude.

321 citations

Journal ArticleDOI
TL;DR: In this paper, the authors conducted a search on MEDLINE, EMBASE and Web of Science with both MeSH terms and text words for both aspergillosis and the sandwich ELISA.
Abstract: Background Invasive aspergillosis is the most common life-threatening opportunistic invasive mycosis in immunocompromised patients. A test for invasive aspergillosis should neither be too invasive nor too great a burden for the already weakened patient. The serum galactomannan enzyme-linked immunosorbent assay (ELISA) seems to have the potential to meet both requirements. Objectives To obtain summary estimates of the diagnostic accuracy of galactomannan detection in serum for the diagnosis of invasive aspergillosis. Search methods We searched MEDLINE, EMBASE and Web of Science with both MeSH terms and text words for both aspergillosis and the sandwich ELISA. We checked the reference lists of included studies and review articles for additional studies. We conducted the searches in February 2014. Selection criteria We included cross-sectional studies, case-control designs and consecutive series of patients assessing the diagnostic accuracy of galactomannan detection for the diagnosis of invasive aspergillosis in patients with neutropenia or patients whose neutrophils are functionally compromised. The reference standard was composed of the criteria given by the European Organization for Research and Treatment of Cancer (EORTC) and the Mycoses Study Group (MSG). Data collection and analysis Two review authors independently assessed quality and extracted data. We carried out meta-analysis using the bivariate method. We investigated sources of heterogeneity by adding potential sources of heterogeneity to the model as covariates. Main results We included 54 studies in the review (50 in the meta-analyses), containing 5660 patients, of whom 586 had proven or probable invasive aspergillosis. When using an optical density index (ODI) of 0.5 as a cut-off value, the sensitivity of the test was 78% (70% to 85%) and the specificity was 85% (78% to 91%). At a cut-off value of 1.0 ODI, the sensitivity was 71% (63% to 78%) and the specificity was 90% (86% to 93%). At a cut-off value of 1.5 ODI, the sensitivity was 63% (49% to 78%) and the specificity was 93% (89% to 97%). None of the potential sources of heterogeneity had a statistically significant effect on either sensitivity or specificity. Authors' conclusions If we used the test at a cut-off value of 0.5 ODI in a population of 100 patients with a disease prevalence of 11% (overall median prevalence), two patients who have invasive aspergillosis would be missed (sensitivity 78%, 22% false negatives), and 13 patients would be treated unnecessarily or referred unnecessarily for further testing (specificity 85%, 15% false negatives). If we used the test at a cut-off value of 1.5 in the same population, that would mean that four invasive aspergillosis patients would be missed (sensitivity 61%, 39% false negatives), and six patients would be treated or referred for further testing unnecessarily (specificity 93%, 7% false negatives). These numbers should, however, be interpreted with caution because the results were very heterogeneous.

320 citations

Journal ArticleDOI
TL;DR: An enhanced password authentication scheme which still keeps the merits of the original scheme was presented and security analysis proved that the improved scheme is more secure and practical.

320 citations

Journal ArticleDOI
TL;DR: In this article, a systematic review was performed using PubMed and EMBASE to calculate pooled risk estimates for the association of human papillomavirus (HPV) with oral carcinoma (OSCC) and potentially malignant disorders (OPMD).
Abstract: Oral Diseases (2011) 17 (Suppl. 1), 58–72 Objectives: Human papillomavirus (HPV) in oral carcinoma (OSCC) and potentially malignant disorders (OPMD) is controversial. The primary aim was to calculate pooled risk estimates for the association of HPV with OSCC and OPMD when compared with healthy oral mucosa as controls. We also examined the effects of sampling techniques on HPV detection rates. Methods: Systematic review was performed using PubMed (January 1966–September 2010) and EMBASE (January 1990–September 2010). Eligible studies included randomized controlled, cohort and cross-sectional studies. Pooled data were analysed by calculating odds ratios, using a random effects model. Risk of bias was based on characteristics of study group, appropriateness of the control group and prospective design. Results: Of the 1121 publications identified, 39 cross-sectional studies met the inclusion criteria. Collectively, 1885 cases and 2248 controls of OSCC and 956 cases and 675 controls of OPMD were available for analysis. Significant association was found between pooled HPV-DNA detection and OSCC (OR = 3.98; 95% CI: 2.62–6.02) and even for HPV16 only (OR = 3.86; 95% CI: 2.16–6.86). HPV was also associated with OPMD (OR = 3.87; 95% CI: 2.87–5.21). In a subgroup analysis of OPMD, HPV was also associated with oral leukoplakia (OR = 4.03; 95% CI: 2.34–6.92), oral lichen planus (OR = 5.12; 95% CI: 2.40–10.93), and epithelial dysplasia (OR = 5.10; 95% CI: 2.03–12.80). Conclusions: The results suggest a potentially important causal association between HPV and OSCC and OPMD.

319 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023339
20221,712
202113,846
202011,702
20199,714
20187,906