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您的检索式：作者名="YE Lingjuan"
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| 1 | Integrated circulating tumor DNA and T cell repertoire predict radiotherapeutic response and outcome in non-small cell lung cancer patients with brain metastasis显示文摘Dear editor,The scarcity of routinemetastatic biopsies or resection limits the finding of biomarkers of diagnosis and prognosis in patients with brain metastases.Derived from necrosis,apoptosis,and secretion of tumor cells,circulating tumor DNA(ctDNA)is widely distributed in various body fluids,including peripheral blood and cerebrospinal fluid(CSF),as an alternative biomarker for tumor-associated analysis[1].Fortunately,genomic alterations of blood ctDNA and CSF ctDNA have been proven as prognostic markers in non-small cell lung cancer(NSCLC)patients with brain metastasis[2,3]. | Ling Peng Yawen Bin Peng Ding Lingjuan Chen Hao Zeng Zelong Xu Liyan Ji Xuan Gao Pian Liu Ye Wang Sheng Zhang Zhongxing Liao Xuefeng Xia Ruiguang Zhang Fan Tong Xiaorong Dong | 2023 | Cancer Communications2023，43，5： | 0 |
| 2 | A Multi-Period Constrained Multi-Objective Evolutionary Algorithm with Orthogonal Learning for Solving the Complex Carbon Neutral Stock Portfolio Optimization Model显示文摘Financial market has systemic complexity and uncertainty.For investors,return and risk often coexist.How to rationally allocate funds into different assets and achieve excess returns with effectively controlling risk are main problems to be solved in the field of portfolio optimization(PO).At present,due to the influence of modeling and algorithm solving,the PO models established by many researchers are still mainly focused on single-stage single-objective models or single-stage multiobjective models.PO is actually considered as a multi-stage multi-objective optimization problem in real investment scenarios.It is more difficult than the previous single-stage PO model for meeting the realistic requirements.In this paper,the authors proposed a mean-improved stable tail adjusted return ratio-maximum drawdown rate(M-ISTARR-MD)PO model which effectively characterizes the real investment scenario.In order to solve the multi-stage multi-objective PO model with complex multi-constraints,the authors designed a multi-stage constrained multi-objective evolutionary algorithm with orthogonal learning(MSCMOEA-OL).Comparing with four well-known intelligence algorithms,the MSCMOEA-OL algorithm has competitive advantages in solving the M-ISTARR-MD model on the proposed constructed carbon neutral stock dataset.This paper provides a new way to construct and solve the complex PO model. | CHEN Yinnan YE Lingjuan LI Rui ZHAO Xinchao | 2023 | Journal of Systems Science & Complexity2023，36，2： | 0 |
| 3 | The interferon-γ receptor pathway:a new way to regulate CAR T cell-solid tumor cell adhesion显示文摘A recent study published in Nature by the Maus group represents a great discovery that the IFNγR pathway in solid tumors affected interactions with CAR T cells by affecting cell-binding duration and avidity.1 Adoptive cell therapy,particularly chimeric antigen receptor(CAR)T therapy,has shown significant clinical success in leukemia,lymphoma,and multiple myeloma patients.However,CAR T cell mediates solid tumor therapy with no equivalent successes in patients. | Lingjuan Hong Lupeng Ye | 2022 | Signal Transduction and Targeted Therapy2022，7，10： | 0 |
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