目的分析体力活动动态调适护理干预策略在新诊断2型糖尿病(T2DM)患者中的应用效果。方法选取本院2018年3月—2019年4月120例新诊断T2DM患者,依据建档时间分为常规组(60例)及研究组(60例),常规组予以常规护理干预,研究组基于常规护理予...目的分析体力活动动态调适护理干预策略在新诊断2型糖尿病(T2DM)患者中的应用效果。方法选取本院2018年3月—2019年4月120例新诊断T2DM患者,依据建档时间分为常规组(60例)及研究组(60例),常规组予以常规护理干预,研究组基于常规护理予以体力活动动态调适护理干预策略。统计对比两组护理工作满意度及治疗前后血糖[空腹血糖(FPG)、餐后2 h血糖(2 h PG)、糖化血红蛋白(HbA1c)]水平、血脂[总胆固醇(TC)、甘油三酯(TG)]水平。结果干预后研究组HbA1c、2 h PG、FPG较常规组低,差异显著(P<0.05);干预后研究组TC、TG较常规组低,差异显著(P<0.05);研究组护理工作满意度为93.33%(56/60),高于常规组73.33%(44/60),差异显著(P<0.05)。结论体力活动动态调适护理干预策略运用于新诊断T2DM患者护理,可显著控制血糖、血脂水平,提高护理工作满意度。展开更多
A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rat...A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rate and pitch adjusting rate, are encoded as a symbiotic individual of an original individual(i.e., harmony vector). Harmony search operators are applied to evolving the original population. DE is applied to co-evolving the symbiotic population based on feedback information from the original population. Thus, with the evolution of the original population in DEHS, the symbiotic population is dynamically and self-adaptively adjusted, and real-time optimum control parameters are obtained. The proposed DEHS algorithm has been applied to various benchmark functions and two typical dynamic optimization problems. The experimental results show that the performance of the proposed algorithm is better than that of other HS variants. Satisfactory results are obtained in the application.展开更多
文摘目的分析体力活动动态调适护理干预策略在新诊断2型糖尿病(T2DM)患者中的应用效果。方法选取本院2018年3月—2019年4月120例新诊断T2DM患者,依据建档时间分为常规组(60例)及研究组(60例),常规组予以常规护理干预,研究组基于常规护理予以体力活动动态调适护理干预策略。统计对比两组护理工作满意度及治疗前后血糖[空腹血糖(FPG)、餐后2 h血糖(2 h PG)、糖化血红蛋白(HbA1c)]水平、血脂[总胆固醇(TC)、甘油三酯(TG)]水平。结果干预后研究组HbA1c、2 h PG、FPG较常规组低,差异显著(P<0.05);干预后研究组TC、TG较常规组低,差异显著(P<0.05);研究组护理工作满意度为93.33%(56/60),高于常规组73.33%(44/60),差异显著(P<0.05)。结论体力活动动态调适护理干预策略运用于新诊断T2DM患者护理,可显著控制血糖、血脂水平,提高护理工作满意度。
基金Project(2013CB733605)supported by the National Basic Research Program of ChinaProject(21176073)supported by the National Natural Science Foundation of China
文摘A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rate and pitch adjusting rate, are encoded as a symbiotic individual of an original individual(i.e., harmony vector). Harmony search operators are applied to evolving the original population. DE is applied to co-evolving the symbiotic population based on feedback information from the original population. Thus, with the evolution of the original population in DEHS, the symbiotic population is dynamically and self-adaptively adjusted, and real-time optimum control parameters are obtained. The proposed DEHS algorithm has been applied to various benchmark functions and two typical dynamic optimization problems. The experimental results show that the performance of the proposed algorithm is better than that of other HS variants. Satisfactory results are obtained in the application.
