风电机组功率曲线建模是风电功率预测、状态监测、性能评估的关键环节。文章提出了一种基于lo-gistic函数和分位数回归的风电机组功率曲线建模算法。为解决风电功率的不确定性,文中在logistic函数中嵌入了分位回归损失函数,建立了分位...风电机组功率曲线建模是风电功率预测、状态监测、性能评估的关键环节。文章提出了一种基于lo-gistic函数和分位数回归的风电机组功率曲线建模算法。为解决风电功率的不确定性,文中在logistic函数中嵌入了分位回归损失函数,建立了分位数回归logistic模型(quantile regression logistic function,QRLF),并采用了三种优化算法进行优化;为降低原始数据中异常值的影响,提出了基于QRLF算法的自适应异常筛选方法;在三个风电场的SCADA(supervisory control and data acquisition)数据中进行了实例验证。文中采用五种评价指标对所提方法进行评估。结果表明,相比传统的风电机组功率曲线建模方法,文中所提方法可以同时提供较好的确定性功率曲线和概率性功率曲线结果。展开更多
目的:探讨基于Logistic回归分析脑梗死患者发生下肢深静脉血栓危险因素以及预防策略。方法:选取郑州市第九人民医院2023年3月至2024年4月诊治的119例脑梗死患者作为研究对象,分析两组临床资料、治疗情况、合并症的单因素,采用多因素Logi...目的:探讨基于Logistic回归分析脑梗死患者发生下肢深静脉血栓危险因素以及预防策略。方法:选取郑州市第九人民医院2023年3月至2024年4月诊治的119例脑梗死患者作为研究对象,分析两组临床资料、治疗情况、合并症的单因素,采用多因素Logistic回归评估患者发生下肢深静脉血栓的危险因素。并比较不同预防方法下肢深静脉血栓(deep vein thrombosis,DVT)发生率。结果:两组患者的性别、是否吸烟比较(P>0.05)。DVT组年龄≥60岁、美国国立卫生研究院卒中量表(national institute of health stroke scale,NIHSS)评分≥16分、卧床时间≥7 d、合并感染例数均高于非DVT组(P<0.05)。DVT组接受介入治疗、脱水剂使用次数≥4次/d例数均高于非DVT组,服用抗凝药物例数低于非DVT组(P<0.05)。DVT组糖尿病、高血压、高脂血症例数均高于非DVT组(P<0.05)。经对筛选出来的患者发生下肢深静脉血栓10个单因素的变量赋值后,经多因素Logistic回归分析,高血压、合并感染、NIHSS评分≥16分、卧床时间≥7 d、服用抗凝药物、脱水剂使用次数≥4次/d为发生下肢深静脉血栓的危险因素(P<0.05)。间歇性气压治疗(intermittent pneumatic compression,IPC)组、低分子肝素(low-molecular-weight heparin,LMWH)组、IPC+LMWH组DVT发生率均低于常规组(P<0.05);IPC+LMWH组DVT发生率均分别低于IPC组、LMWH组(P<0.05);IPC组、LMWH组组间比较(P>0.05)。结论:高血压、合并感染、NIHSS评分≥16分、卧床时间≥7 d、服用抗凝药物、脱水剂使用次数≥4次/d为发生下肢深静脉血栓的危险因素,采用IPC+LMWH预防干预可有效降低DVT的发生率。展开更多
Dior“文化挪用”马面裙事件引发民众热议,以“马面裙”为代表的新中式服装走进大众视野。新中式服装实现了传统文化与现代时尚的完美融合,其产业发展在经济、文化等不同维度上均具有重要价值,因而了解民众对新中式服装的情感倾向与关注...Dior“文化挪用”马面裙事件引发民众热议,以“马面裙”为代表的新中式服装走进大众视野。新中式服装实现了传统文化与现代时尚的完美融合,其产业发展在经济、文化等不同维度上均具有重要价值,因而了解民众对新中式服装的情感倾向与关注点,深入分析影响民众关于新中式服装购买意愿的影响因素对新中式服装产业的未来发展及传统文化传承具有深远意义。团队通过网络爬取进行文本分析,为问卷设计提供理论支持。基于描述性统计分析构建消费者画像,综合应用二值Logistic回归与随机森林模型确定影响消费意愿的主要因素,从消费者因素、产品因素和推广途径三个方面明确新中式服装的市场方向,以此提出有价值的结论与建议。结果表明,性别、年龄、学历、收入、地区作用的消费者自身因素是影响新中式服装购买意愿的最主要因素。Dior’s “cultural appropriation” incident involving horse-face skirts has sparked public discussion, and new Chinese-style clothing represented by the horse-face skirts has entered the public eye. This style perfectly blends traditional culture with modern fashion, and its industrial development has important value in different dimensions such as economy and culture. Therefore, understanding the emotional tendencies and concerns of the public towards the new Chinese-style clothing, and conducting a deep analysis of the factors influencing the public’s willingness to purchase such clothing have profound significance for the future development of the new Chinese-style clothing industry and the inheritance of traditional culture. The team conducted text analysis through web crawling to provide theoretical support for questionnaire design. Based on descriptive statistical analysis, a consumer portrait is constructed, and binary logistic regression and random forest models are comprehensively applied to determine the main factors affecting consumers’ willingness. Clarifying the market direction of new Chinese-style clothing from three aspects: consumer factors, product attributes, and promotional channels, in order to provide valuable conclusions and suggestions. The results indicate that consumer factors such as gender, age, education, income, and regional influence are the most significant factors affecting the willingness to purchase new Chinese-style clothing.展开更多
文摘风电机组功率曲线建模是风电功率预测、状态监测、性能评估的关键环节。文章提出了一种基于lo-gistic函数和分位数回归的风电机组功率曲线建模算法。为解决风电功率的不确定性,文中在logistic函数中嵌入了分位回归损失函数,建立了分位数回归logistic模型(quantile regression logistic function,QRLF),并采用了三种优化算法进行优化;为降低原始数据中异常值的影响,提出了基于QRLF算法的自适应异常筛选方法;在三个风电场的SCADA(supervisory control and data acquisition)数据中进行了实例验证。文中采用五种评价指标对所提方法进行评估。结果表明,相比传统的风电机组功率曲线建模方法,文中所提方法可以同时提供较好的确定性功率曲线和概率性功率曲线结果。
文摘目的:探讨基于Logistic回归分析脑梗死患者发生下肢深静脉血栓危险因素以及预防策略。方法:选取郑州市第九人民医院2023年3月至2024年4月诊治的119例脑梗死患者作为研究对象,分析两组临床资料、治疗情况、合并症的单因素,采用多因素Logistic回归评估患者发生下肢深静脉血栓的危险因素。并比较不同预防方法下肢深静脉血栓(deep vein thrombosis,DVT)发生率。结果:两组患者的性别、是否吸烟比较(P>0.05)。DVT组年龄≥60岁、美国国立卫生研究院卒中量表(national institute of health stroke scale,NIHSS)评分≥16分、卧床时间≥7 d、合并感染例数均高于非DVT组(P<0.05)。DVT组接受介入治疗、脱水剂使用次数≥4次/d例数均高于非DVT组,服用抗凝药物例数低于非DVT组(P<0.05)。DVT组糖尿病、高血压、高脂血症例数均高于非DVT组(P<0.05)。经对筛选出来的患者发生下肢深静脉血栓10个单因素的变量赋值后,经多因素Logistic回归分析,高血压、合并感染、NIHSS评分≥16分、卧床时间≥7 d、服用抗凝药物、脱水剂使用次数≥4次/d为发生下肢深静脉血栓的危险因素(P<0.05)。间歇性气压治疗(intermittent pneumatic compression,IPC)组、低分子肝素(low-molecular-weight heparin,LMWH)组、IPC+LMWH组DVT发生率均低于常规组(P<0.05);IPC+LMWH组DVT发生率均分别低于IPC组、LMWH组(P<0.05);IPC组、LMWH组组间比较(P>0.05)。结论:高血压、合并感染、NIHSS评分≥16分、卧床时间≥7 d、服用抗凝药物、脱水剂使用次数≥4次/d为发生下肢深静脉血栓的危险因素,采用IPC+LMWH预防干预可有效降低DVT的发生率。
文摘Dior“文化挪用”马面裙事件引发民众热议,以“马面裙”为代表的新中式服装走进大众视野。新中式服装实现了传统文化与现代时尚的完美融合,其产业发展在经济、文化等不同维度上均具有重要价值,因而了解民众对新中式服装的情感倾向与关注点,深入分析影响民众关于新中式服装购买意愿的影响因素对新中式服装产业的未来发展及传统文化传承具有深远意义。团队通过网络爬取进行文本分析,为问卷设计提供理论支持。基于描述性统计分析构建消费者画像,综合应用二值Logistic回归与随机森林模型确定影响消费意愿的主要因素,从消费者因素、产品因素和推广途径三个方面明确新中式服装的市场方向,以此提出有价值的结论与建议。结果表明,性别、年龄、学历、收入、地区作用的消费者自身因素是影响新中式服装购买意愿的最主要因素。Dior’s “cultural appropriation” incident involving horse-face skirts has sparked public discussion, and new Chinese-style clothing represented by the horse-face skirts has entered the public eye. This style perfectly blends traditional culture with modern fashion, and its industrial development has important value in different dimensions such as economy and culture. Therefore, understanding the emotional tendencies and concerns of the public towards the new Chinese-style clothing, and conducting a deep analysis of the factors influencing the public’s willingness to purchase such clothing have profound significance for the future development of the new Chinese-style clothing industry and the inheritance of traditional culture. The team conducted text analysis through web crawling to provide theoretical support for questionnaire design. Based on descriptive statistical analysis, a consumer portrait is constructed, and binary logistic regression and random forest models are comprehensively applied to determine the main factors affecting consumers’ willingness. Clarifying the market direction of new Chinese-style clothing from three aspects: consumer factors, product attributes, and promotional channels, in order to provide valuable conclusions and suggestions. The results indicate that consumer factors such as gender, age, education, income, and regional influence are the most significant factors affecting the willingness to purchase new Chinese-style clothing.
