Within the framework of the interacting boson model- 1, the energy levels and electromagnetic transitions in 72-84Kr isotopes are calculated. The structures of the eigenstate and Hamiltonian matrix for some low-lying ...Within the framework of the interacting boson model- 1, the energy levels and electromagnetic transitions in 72-84Kr isotopes are calculated. The structures of the eigenstate and Hamiltonian matrix for some low-lying states are also calculated. The calculated results are compared with available experimental data, and the results are generally in good agreement. The present study shows that the 72,74,76,80,82,84Kr isotopes are in the transition from U（5）→ SU（3）, and 7SKr is in the transition from U（5）→ O（6）.展开更多
本文通过建立肿瘤免疫微环境多尺度数学模型,结合小鼠实验数据,探讨了前列腺素E2受体4亚型(Prostaglandin E2 Receptor 4,EP4)拮抗剂MF-766和抗程序性细胞死亡蛋白1(Anti-programmed Cell Death Protein 1,Anti-PD-1)联合治疗对肿瘤免...本文通过建立肿瘤免疫微环境多尺度数学模型,结合小鼠实验数据,探讨了前列腺素E2受体4亚型(Prostaglandin E2 Receptor 4,EP4)拮抗剂MF-766和抗程序性细胞死亡蛋白1(Anti-programmed Cell Death Protein 1,Anti-PD-1)联合治疗对肿瘤免疫微环境及肿瘤生长的调控机制。模型定量分析了免疫抑制细胞、效应性免疫细胞以及细胞因子的动态变化,揭示了联合治疗在降低髓源性抑制细胞(Myeloid-derived Suppressor Cells,MDSCs)浓度和增强效应性免疫细胞功能中的协同作用。实验验证表明,模型能够准确描述肿瘤体积的动态变化及药物的免疫调节效应,并揭示了药物剂量与用药间隔对治疗效果的非线性影响。基于此模型的模拟结果,本文不仅加深了对肿瘤转移机制的理解,还为优化免疫治疗的剂量和用药策略提供了理论依据,为精准治疗的设计与推进奠定了坚实基础。展开更多
基金Supported by NSFC(11465001,11165001)Natural Science Foundation of Inner Mongolia of China(2013MS0117)
文摘Within the framework of the interacting boson model- 1, the energy levels and electromagnetic transitions in 72-84Kr isotopes are calculated. The structures of the eigenstate and Hamiltonian matrix for some low-lying states are also calculated. The calculated results are compared with available experimental data, and the results are generally in good agreement. The present study shows that the 72,74,76,80,82,84Kr isotopes are in the transition from U（5）→ SU（3）, and 7SKr is in the transition from U（5）→ O（6）.
文摘本文通过建立肿瘤免疫微环境多尺度数学模型,结合小鼠实验数据,探讨了前列腺素E2受体4亚型(Prostaglandin E2 Receptor 4,EP4)拮抗剂MF-766和抗程序性细胞死亡蛋白1(Anti-programmed Cell Death Protein 1,Anti-PD-1)联合治疗对肿瘤免疫微环境及肿瘤生长的调控机制。模型定量分析了免疫抑制细胞、效应性免疫细胞以及细胞因子的动态变化,揭示了联合治疗在降低髓源性抑制细胞(Myeloid-derived Suppressor Cells,MDSCs)浓度和增强效应性免疫细胞功能中的协同作用。实验验证表明,模型能够准确描述肿瘤体积的动态变化及药物的免疫调节效应,并揭示了药物剂量与用药间隔对治疗效果的非线性影响。基于此模型的模拟结果,本文不仅加深了对肿瘤转移机制的理解,还为优化免疫治疗的剂量和用药策略提供了理论依据,为精准治疗的设计与推进奠定了坚实基础。
