Chemotherapy is the cornerstone of cancer treatment,and paclitaxel(PTX),as a first-line broad-spectrum chemotherapy drug,is widely used in the treatment of multiple tumors in the clinic.However,unsatisfactory efficacy...Chemotherapy is the cornerstone of cancer treatment,and paclitaxel(PTX),as a first-line broad-spectrum chemotherapy drug,is widely used in the treatment of multiple tumors in the clinic.However,unsatisfactory efficacy and drug resistance of single chemotherapy have severely hampered the clinical progress of PTX.Herein,three-in-one naringenin(NAR)-loaded PTX polymer prodrug micelles were constructed for efficient and synergistic antitumor therapy.Firstly,the polymer prodrug micelles could simultaneously act as nanoreservoirs for two hydrophobic drugs,PTX and NAR.Secondly,the polymer prodrug micelles enabled dual-responsive intelligent release of PTX and NAR triggered by reduction and acid.Finally,released PTX and NAR exerted synergistic antitumor effects for reversing tumor resistance,while NAR enhanced the immune and anti-inflammatory functions of polymer prodrug micelles.Due to the cascade-enhanced chemotherapeutic augmentation,the intelligent-responsive nanoreservoir proved to be an excellent antitumor therapeutic platform.This work was of great interest for designing superior chemotherapeutic augmentation regimens.展开更多
为了能够更加准确地实现地铁客流预测,提出了一种基于经验模态分解算法(empirical mode decomposition,EMD)优化非线性自回归(nonlinear auto regressive,NAR)动态神经网络的地铁客流量短时预测模型.分析地铁客流量数据后发现日客流量...为了能够更加准确地实现地铁客流预测,提出了一种基于经验模态分解算法(empirical mode decomposition,EMD)优化非线性自回归(nonlinear auto regressive,NAR)动态神经网络的地铁客流量短时预测模型.分析地铁客流量数据后发现日客流量具有一定的变化规律,为此使用了基于时间序列的NAR动态神经网络,该网络具有优秀的非线性动态拟合能力和反馈记忆的功能.结合EMD经验模态分解算法优化NAR动态神经网络预测模型,以此来减少预测误差,提高预测精度.结果显示,EMD-NAR神经网络组合预测模型适用于地铁客流的短时预测,预测精度可达93%,具有较好的应用价值.展开更多
基金supported by the National Natural Science Foundation of China(No.U1904155)the Henan Provincial Key Research Development and Special Project for Promotion(Nos.242102310455,242102310473)+4 种基金the Key Project of Science and Technology Research funded by the Henan Provincial Department of Education(No.24A350002)Postdoctoral Fellowship Program of CPSF(No.GZC20231732)China Postdoctoral Science Foundation(Nos.2023TQ0222,2023MD744229)General Program of Department of Education of Liaoning Province(No.JYTMS20231372)Doctoral Scientific Research Staring Foundation of Liaoning Province(No.2024-BS-073)。
文摘Chemotherapy is the cornerstone of cancer treatment,and paclitaxel(PTX),as a first-line broad-spectrum chemotherapy drug,is widely used in the treatment of multiple tumors in the clinic.However,unsatisfactory efficacy and drug resistance of single chemotherapy have severely hampered the clinical progress of PTX.Herein,three-in-one naringenin(NAR)-loaded PTX polymer prodrug micelles were constructed for efficient and synergistic antitumor therapy.Firstly,the polymer prodrug micelles could simultaneously act as nanoreservoirs for two hydrophobic drugs,PTX and NAR.Secondly,the polymer prodrug micelles enabled dual-responsive intelligent release of PTX and NAR triggered by reduction and acid.Finally,released PTX and NAR exerted synergistic antitumor effects for reversing tumor resistance,while NAR enhanced the immune and anti-inflammatory functions of polymer prodrug micelles.Due to the cascade-enhanced chemotherapeutic augmentation,the intelligent-responsive nanoreservoir proved to be an excellent antitumor therapeutic platform.This work was of great interest for designing superior chemotherapeutic augmentation regimens.
文摘为了能够更加准确地实现地铁客流预测,提出了一种基于经验模态分解算法(empirical mode decomposition,EMD)优化非线性自回归(nonlinear auto regressive,NAR)动态神经网络的地铁客流量短时预测模型.分析地铁客流量数据后发现日客流量具有一定的变化规律,为此使用了基于时间序列的NAR动态神经网络,该网络具有优秀的非线性动态拟合能力和反馈记忆的功能.结合EMD经验模态分解算法优化NAR动态神经网络预测模型,以此来减少预测误差,提高预测精度.结果显示,EMD-NAR神经网络组合预测模型适用于地铁客流的短时预测,预测精度可达93%,具有较好的应用价值.
