The theory of nu-support vector regression (Nu-SVR) is employed in modeling time series variationfor prediction. In order to avoid prediction performance degradation caused by improper parameters, themethod of paralle...The theory of nu-support vector regression (Nu-SVR) is employed in modeling time series variationfor prediction. In order to avoid prediction performance degradation caused by improper parameters, themethod of parallel multidimensional step search (PMSS) is proposed for users to select best parameters intraining support vector machine to get a prediction model. A series of tests are performed to evaluate themodeling mechanism and prediction results indicate that Nu-SVR models can reflect the variation tendencyof time series with low prediction error on both familiar and unfamiliar data. Statistical analysis is alsoemployed to verify the optimization performance of PMSS algorithm and comparative results indicate thattraining error can take the minimum over the interval around planar data point corresponding to selectedparameters. Moreover, the introduction of parallelization can remarkably speed up the optimizing procedure.展开更多
【目的】探讨微信平台干预联合同伴支持护理在突发性耳聋患者中的应用效果。【方法】选取2022年5月至2024年5月本院收治的98例突发性耳聋患者,以奇偶分组法均分为观察组和对照组,每组49例。对照组在常规护理基础上行微信平台干预,观察...【目的】探讨微信平台干预联合同伴支持护理在突发性耳聋患者中的应用效果。【方法】选取2022年5月至2024年5月本院收治的98例突发性耳聋患者,以奇偶分组法均分为观察组和对照组,每组49例。对照组在常规护理基础上行微信平台干预,观察组在对照组基础上行同伴支持护理干预。比较两组干预后负性情绪、应激状态及社会支持程度评分。【结果】干预后,观察组抑郁症筛查量表(patient health questionnaire-9,PHQ-9)、广泛性焦虑障碍量表(generalized anxiety disorder,GAD-7)评分均低于对照组,差异有统计学意义(P<0.05);干预后,观察组分离症状、再历症状、回避症状、激惹症状、社会功能损害评分均低于对照组,差异有统计学意义(P<0.05);干预后,观察组主观支持、客观支持、对支持利用度评分均高于对照组,差异有统计学意义(P<0.05)。【结论】微信平台干预联合同伴支持护理可有效减轻患者负性情绪和应激状态,提高社会支持程度,值得临床借鉴。展开更多
基金Supported by the National Natural Science Foundation of China (No. 60873235&60473099)the Science-Technology Development Key Project of Jilin Province of China (No. 20080318)the Program of New Century Excellent Talents in University of China (No. NCET-06-0300).
文摘The theory of nu-support vector regression (Nu-SVR) is employed in modeling time series variationfor prediction. In order to avoid prediction performance degradation caused by improper parameters, themethod of parallel multidimensional step search (PMSS) is proposed for users to select best parameters intraining support vector machine to get a prediction model. A series of tests are performed to evaluate themodeling mechanism and prediction results indicate that Nu-SVR models can reflect the variation tendencyof time series with low prediction error on both familiar and unfamiliar data. Statistical analysis is alsoemployed to verify the optimization performance of PMSS algorithm and comparative results indicate thattraining error can take the minimum over the interval around planar data point corresponding to selectedparameters. Moreover, the introduction of parallelization can remarkably speed up the optimizing procedure.
基金Supported by National Natural Science Foundation Of China （60873235, 60473099）, Science-Technology Development Key Project of Jilin Province of China （20080318）, and Program of New Century Excellent Talents in University of China （NCET-06-0300）
文摘【目的】探讨微信平台干预联合同伴支持护理在突发性耳聋患者中的应用效果。【方法】选取2022年5月至2024年5月本院收治的98例突发性耳聋患者,以奇偶分组法均分为观察组和对照组,每组49例。对照组在常规护理基础上行微信平台干预,观察组在对照组基础上行同伴支持护理干预。比较两组干预后负性情绪、应激状态及社会支持程度评分。【结果】干预后,观察组抑郁症筛查量表(patient health questionnaire-9,PHQ-9)、广泛性焦虑障碍量表(generalized anxiety disorder,GAD-7)评分均低于对照组,差异有统计学意义(P<0.05);干预后,观察组分离症状、再历症状、回避症状、激惹症状、社会功能损害评分均低于对照组,差异有统计学意义(P<0.05);干预后,观察组主观支持、客观支持、对支持利用度评分均高于对照组,差异有统计学意义(P<0.05)。【结论】微信平台干预联合同伴支持护理可有效减轻患者负性情绪和应激状态,提高社会支持程度,值得临床借鉴。
