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您的检索式：作者名="Ding Yangqing"
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| 1 | Bi-level Coordinated Planning of Active Distribution Network Considering Demand Response Resources and Severely Restricted Scenarios显示文摘Due to the uncertainty and fluctuation of distributed generation(DG)and load,the operation of active distribution network(ADN)is affected by multi-dimension factors which are described by massive operation scenarios.Efficient and accurate screening of severely restricted scenarios(SRSs)has become a new challenge in ADN planning.In this paper,a novel bi-level coordinated planning model which combines the short-time-scale operation problem with the long-time-scale planning problem is proposed.At the upper level,the demand response(DR)resource,an effective non-component planning resource characterized by low capacity price,high energy price,and short contract term,is co-optimized with the configuration of lines and energy storage systems(ESSs)to achieve the economic trade-off between the investment cost and the operation cost under SRSs.At the lower level,with the planning scheme obtained from the upper level,massive operation problems are optimized to minimize the daily operation cost;and the SRSs are provided to the upper level through a shadow-price-based scenario screening method,which simulates the planning information(i.e.,the restricted degrees of operation scenarios)feedback process from ADN operators to ADN planners.Case studies on a 62-node distribution system in Jianshan New District,Zhejiang Province,China,illustrate the effectiveness of the proposed bi-level coordinated planning model considering DR resources and SRSs. | Huang Yixin Lin Zhenzhi Liu Xinyi Yang Li Dan Yangqing Zhu Yanwei Ding Yi Wang Qin | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，5： | 3 |
| 2 | Organ distribution of severe acute respiratory syndrome (SARS) associated coronavirus(SARS-CoV) in SARS patients: implications for pathogenesis and virus transmission pathways 显示文摘 | Ding Yangqing He Li Zhang Qingling | 2004 | J Pathol2004，203，： | 1 |
| 3 | A pan-cancer analysis identifies SOAT1 as an immunological and prognostic biomarker显示文摘Sterol o-acyltransferase1(SOAT1)is an enzyme that regulates lipid metabolism.Nevertheless,the predictive value of SOAT1 regarding immune responses in cancer is not fully understood.Herein,we aimed to expound the predictive value and the potential biological functions of SOAT1 in pan-cancer.Raw data related to SOAT1 expression in 33 different types of cancer were acquired from The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)databases.SOAT1 expression was significantly increased in most cancers and showed a distinct correlation with prognosis.This enhanced expression of the SOAT1 gene was confirmed by evaluating SOAT1 protein expression using tissue microarrays.In addition,we found significant positive associations between SOAT1 expression levels and infiltrating immune cells,including T cells,neutrophils,and macrophages.Moreover,the co-expression analysis between SOAT1 and immune genes showed that many immune-related genes were increased with enhanced SOAT1 expression.A gene set enrichment analysis(GSEA)revealed that the expression of SOAT1 correlated with the tumor microenvironment,adaptive immune response,interferon signaling,and cytokine signaling.These findings indicate that SOAT1 is a potential candidate marker for predicting prognosis and a promising target for tumor immunotherapy in cancers. | YANGQING HUANG XINLAN ZHOU XIUFEN LI DAN HUANG ZHONG FANG RONGRONG DING | 2023 | Oncology Research2023，31，2： | 0 |
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