目的:观察基于行动过程取向理论(health action process approach, HAPA)模式的八段锦锻炼对亚健康状态肝气不足证大学生的临床疗效。方法:选择2024年3—6月长沙市某高校92名亚健康状态肝气不足证的大学生为研究对象,按随机数字表法将...目的:观察基于行动过程取向理论(health action process approach, HAPA)模式的八段锦锻炼对亚健康状态肝气不足证大学生的临床疗效。方法:选择2024年3—6月长沙市某高校92名亚健康状态肝气不足证的大学生为研究对象,按随机数字表法将其分为治疗组和对照组,每组各46名。对照组给予基于常规八段锦功法锻炼方案,治疗组给与基于HAPA模式的八段锦锻炼方案,疗程为12周。比较2组治疗前后中医证候积分、自我效能感评分、生活质量评分的变化和临床疗效。结果:总有效率治疗组为91.11%(41/45),对照组为68.18%(30/44),2组比较,差异有统计学意义(P<0.05)。2组中医证候积分、自我效能感评分治疗前后组内比较及治疗后组间比较,差异均有统计学意义(P<0.01);治疗组治疗后生活质量各项评分均优于治疗前(P<0.01),对照组仅心理功能、躯体功能、社会功能评分优于治疗前(P<0.05),且治疗组生活质量各项评分改善均优于对照组(P<0.01)。结论:HAPA模式的八段锦锻炼能有效缓解亚健康状态大学生肝气不足的症状,增强自我效能感,提高生活质量,值得推广应用。展开更多
现有宽带单脉冲测向方法适用的波束指向角偏差范围小,且基本未考虑分子阵情况,并忽略了匹配滤波对信号的影响。针对这些问题,对宽带线性调频(linear frequency modulation,LFM)信号,提出一种基于子阵内部补相、子阵之间补时延的宽带波...现有宽带单脉冲测向方法适用的波束指向角偏差范围小,且基本未考虑分子阵情况,并忽略了匹配滤波对信号的影响。针对这些问题,对宽带线性调频(linear frequency modulation,LFM)信号,提出一种基于子阵内部补相、子阵之间补时延的宽带波束形成的单脉冲测向方法。所提方法通过子阵级处理减少计算复杂度,降低成本,并且分析了匹配滤波对和/差波束的影响,由此推导与实际和/差波束比更为吻合的单脉冲比鉴角曲线表达式,接着提出一种适用波束指向角偏差范围更宽的角度估计方法。与常规单脉冲角度测量方法相比,所提方法具有在低信噪比条件下可测角、测角精确度高,对指向偏差角不敏感,且对大/小型阵列均适用等特点。展开更多
Data Envelopment Analysis （DEA） is a mathematical tech- nique to assess relative efficiencies of decision making units （DMUs）. The efficiency of 14 Iranian forest companies and forest management units was investig...Data Envelopment Analysis （DEA） is a mathematical tech- nique to assess relative efficiencies of decision making units （DMUs）. The efficiency of 14 Iranian forest companies and forest management units was investigated in 2010. Efficiency of the companies was esti- mated by using a traditional DEA model and a two-stage DEA model. Traditional DEA models consider all DMU activities as a black box and ignore the intermediate products, while two-stage models address inter- mediate processes. LINGO software was used for analysis. Overall pro- duction was divided into to processes for analyses by the two-stage model, timber harvest and marketing. Wilcoxon＇s signed-rank test was used to identify the differences of average efficiency in the harvesting and marketing sub-process. Weak performance in the harvesting sub-process was the cause of low efficiency in 2010. Companies such as Neka Chob and Kelardasht proved efficient at timber harvest, and Neka Chob forest company scored highest in overall efficiency. Finally, the reference units identified according to the results of two-stage DEA analysis.展开更多
文摘目的:观察基于行动过程取向理论(health action process approach, HAPA)模式的八段锦锻炼对亚健康状态肝气不足证大学生的临床疗效。方法:选择2024年3—6月长沙市某高校92名亚健康状态肝气不足证的大学生为研究对象,按随机数字表法将其分为治疗组和对照组,每组各46名。对照组给予基于常规八段锦功法锻炼方案,治疗组给与基于HAPA模式的八段锦锻炼方案,疗程为12周。比较2组治疗前后中医证候积分、自我效能感评分、生活质量评分的变化和临床疗效。结果:总有效率治疗组为91.11%(41/45),对照组为68.18%(30/44),2组比较,差异有统计学意义(P<0.05)。2组中医证候积分、自我效能感评分治疗前后组内比较及治疗后组间比较,差异均有统计学意义(P<0.01);治疗组治疗后生活质量各项评分均优于治疗前(P<0.01),对照组仅心理功能、躯体功能、社会功能评分优于治疗前(P<0.05),且治疗组生活质量各项评分改善均优于对照组(P<0.01)。结论:HAPA模式的八段锦锻炼能有效缓解亚健康状态大学生肝气不足的症状,增强自我效能感,提高生活质量,值得推广应用。
文摘现有宽带单脉冲测向方法适用的波束指向角偏差范围小,且基本未考虑分子阵情况,并忽略了匹配滤波对信号的影响。针对这些问题,对宽带线性调频(linear frequency modulation,LFM)信号,提出一种基于子阵内部补相、子阵之间补时延的宽带波束形成的单脉冲测向方法。所提方法通过子阵级处理减少计算复杂度,降低成本,并且分析了匹配滤波对和/差波束的影响,由此推导与实际和/差波束比更为吻合的单脉冲比鉴角曲线表达式,接着提出一种适用波束指向角偏差范围更宽的角度估计方法。与常规单脉冲角度测量方法相比,所提方法具有在低信噪比条件下可测角、测角精确度高,对指向偏差角不敏感,且对大/小型阵列均适用等特点。
文摘Data Envelopment Analysis （DEA） is a mathematical tech- nique to assess relative efficiencies of decision making units （DMUs）. The efficiency of 14 Iranian forest companies and forest management units was investigated in 2010. Efficiency of the companies was esti- mated by using a traditional DEA model and a two-stage DEA model. Traditional DEA models consider all DMU activities as a black box and ignore the intermediate products, while two-stage models address inter- mediate processes. LINGO software was used for analysis. Overall pro- duction was divided into to processes for analyses by the two-stage model, timber harvest and marketing. Wilcoxon＇s signed-rank test was used to identify the differences of average efficiency in the harvesting and marketing sub-process. Weak performance in the harvesting sub-process was the cause of low efficiency in 2010. Companies such as Neka Chob and Kelardasht proved efficient at timber harvest, and Neka Chob forest company scored highest in overall efficiency. Finally, the reference units identified according to the results of two-stage DEA analysis.
