Objective: Zoledronic acid (ZOL) is a nitrogen-containing bisphosphonate that induces osteoclast apoptosis and inhibits bone resorption. Adding ZOL to neoadjuvant chemotherapy has been shown to have potential anticanc...Objective: Zoledronic acid (ZOL) is a nitrogen-containing bisphosphonate that induces osteoclast apoptosis and inhibits bone resorption. Adding ZOL to neoadjuvant chemotherapy has been shown to have potential anticancer benefits in women with HER2-negative breast cancer. The objective of the present study was to investigate ZOL’s cost-effectiveness from the perspective of health care payers in Japan. Methods: A Markov model was developed to evaluate the costs and effectiveness associated with ZOL + chemotherapy (CTZ) and chemotherapy (CT) alone over a 10-year time horizon. Monthly transition probabilities were estimated according to JONIE1 (Japan Organization of Neoadjuvant Innovative Expert) Study data and an extrapolated Weibull model. Health outcomes were measured in quality-adjusted life years (QALYs). Costs were calculated using year-2018 Japanese yen (JPY) (1.00 US dollars (USD) = 110.4 JPY). Model robustness was addressed through one-way and probabilistic sensitivity analysis. The costs and QALYs were discounted at a rate of 2% per year. Results: In the base case, the use of CTZ was associated with a gain of 3.94 QALYs. The incremental cost per QALY of the CTZ gain was 681,056.1 JPY (6168.99 USD) per QALY. Conclusion: It is convincing that neoadjuvant CTZ for patients with breast cancer would be expected to have statistically significant clinical efficacy. Addition of ZOL to CT might be a cost-effective option compared with CT alone.展开更多
综合能源系统(integrated energy system,IES)是解决能源损耗和环境污染问题的有效途径。为提高IES的经济性和环保性,提出了一种基于一致性的IES低碳经济调度策略。首先,在IES中引入阶梯式碳交易机制,在碳交易成本函数构造中,提出一种...综合能源系统(integrated energy system,IES)是解决能源损耗和环境污染问题的有效途径。为提高IES的经济性和环保性,提出了一种基于一致性的IES低碳经济调度策略。首先,在IES中引入阶梯式碳交易机制,在碳交易成本函数构造中,提出一种随着碳排区间而递增的成本系数,通过成本的非线性递增来限制碳排放量。其次,综合考虑能量传输过程中的损耗问题,构建一种结合用能需求和传输损耗的供需平衡约束条件。然后,将电、热、气供能单元的增量成本作为一致性变量,利用领导一致性算法对IES进行分布式调度,进而实现各单元的供能最优输出。最后,结合不同的实验案例验证了所提低碳经济调度策略的有效性。展开更多
为进一步降低样本成本并加快模型收敛速度,提出基于探索和开发的指数加权算法(exponential-weight algorithm for exploration and exploitation,EXP3)和增量微调卷积神经网络(fine-tuning convolutional neural networks,FCNN)的入侵...为进一步降低样本成本并加快模型收敛速度,提出基于探索和开发的指数加权算法(exponential-weight algorithm for exploration and exploitation,EXP3)和增量微调卷积神经网络(fine-tuning convolutional neural networks,FCNN)的入侵检测系统(EXP3-FCNN)。利用EXP3算法自适应选择最佳主动学习策略,代替单一的主动学习算法,提高样本质量;利用增量微调卷积神经网络提取流量数据更深层次的特征;使用AWID数据集作为实验数据。实验结果表明,该方案在保证模型精确度、召回率等性能指标的基础上,降低了样本成本,提高了模型的收敛效率。展开更多
文摘Objective: Zoledronic acid (ZOL) is a nitrogen-containing bisphosphonate that induces osteoclast apoptosis and inhibits bone resorption. Adding ZOL to neoadjuvant chemotherapy has been shown to have potential anticancer benefits in women with HER2-negative breast cancer. The objective of the present study was to investigate ZOL’s cost-effectiveness from the perspective of health care payers in Japan. Methods: A Markov model was developed to evaluate the costs and effectiveness associated with ZOL + chemotherapy (CTZ) and chemotherapy (CT) alone over a 10-year time horizon. Monthly transition probabilities were estimated according to JONIE1 (Japan Organization of Neoadjuvant Innovative Expert) Study data and an extrapolated Weibull model. Health outcomes were measured in quality-adjusted life years (QALYs). Costs were calculated using year-2018 Japanese yen (JPY) (1.00 US dollars (USD) = 110.4 JPY). Model robustness was addressed through one-way and probabilistic sensitivity analysis. The costs and QALYs were discounted at a rate of 2% per year. Results: In the base case, the use of CTZ was associated with a gain of 3.94 QALYs. The incremental cost per QALY of the CTZ gain was 681,056.1 JPY (6168.99 USD) per QALY. Conclusion: It is convincing that neoadjuvant CTZ for patients with breast cancer would be expected to have statistically significant clinical efficacy. Addition of ZOL to CT might be a cost-effective option compared with CT alone.
文摘综合能源系统(integrated energy system,IES)是解决能源损耗和环境污染问题的有效途径。为提高IES的经济性和环保性,提出了一种基于一致性的IES低碳经济调度策略。首先,在IES中引入阶梯式碳交易机制,在碳交易成本函数构造中,提出一种随着碳排区间而递增的成本系数,通过成本的非线性递增来限制碳排放量。其次,综合考虑能量传输过程中的损耗问题,构建一种结合用能需求和传输损耗的供需平衡约束条件。然后,将电、热、气供能单元的增量成本作为一致性变量,利用领导一致性算法对IES进行分布式调度,进而实现各单元的供能最优输出。最后,结合不同的实验案例验证了所提低碳经济调度策略的有效性。
文摘为进一步降低样本成本并加快模型收敛速度,提出基于探索和开发的指数加权算法(exponential-weight algorithm for exploration and exploitation,EXP3)和增量微调卷积神经网络(fine-tuning convolutional neural networks,FCNN)的入侵检测系统(EXP3-FCNN)。利用EXP3算法自适应选择最佳主动学习策略,代替单一的主动学习算法,提高样本质量;利用增量微调卷积神经网络提取流量数据更深层次的特征;使用AWID数据集作为实验数据。实验结果表明,该方案在保证模型精确度、召回率等性能指标的基础上,降低了样本成本,提高了模型的收敛效率。
