目的 观察沙利度胺联合化疗治疗表皮生长因子受体(epidermal growth factor receptor, EGFR)野生型晚期非小细胞肺癌(non-small cell lung cancer, NSCLC)患者的生活质量评分、不良反应发生率以及对血清血管内皮生长因子(vascular endot...目的 观察沙利度胺联合化疗治疗表皮生长因子受体(epidermal growth factor receptor, EGFR)野生型晚期非小细胞肺癌(non-small cell lung cancer, NSCLC)患者的生活质量评分、不良反应发生率以及对血清血管内皮生长因子(vascular endothelial growth factor, VEGF)水平的影响。方法 纳入2021年1月至2022年12月在蚌埠医学院第一附属医院肿瘤内科接受治疗的EGFR野生型晚期NSCLC患者,共纳入100例。观察组为采用沙利度胺联合含铂两药化疗治疗患者;对照组为单用含铂两药化疗治疗的患者。观察组共纳入58例患者,给予含铂两药化疗方案治疗;同时口服沙利度胺片100 mg,每日一次,睡前服用;对照组共纳入42例患者,给予化疗方案剂量同上,两组化疗前常规给予止吐药物预防性治疗。比较用药后第7~14天两组患者生活质量各领域评分;比较两组患者治疗期间不良反应发生率;比较两组患者治疗后血清VEGF水平差异。结果 观察组患者第7~14天的躯体(79.18±8.59 vs 64.94±8.60)、角色(71.82±14.05 vs 59.00±12.10)、情绪功能(81.94±15.95 vs 69.71±11.38)、认知(74.53±11.74 vs 59.56±8.75)、社会功能(82.24±13.70 vs 66.82±10.11)和总体健康状况评分(70.81±9.67 vs 60.11±8.77)较对照组患者均明显提高,差异有统计学意义(P<0.05);疲倦(28.08±13.09 vs 38.53±14.23)、疼痛(27.44±8.17 vs 39.19±10.13)、失眠(38.07±12.12 vs 45.23±16.61)和食欲丧失症状评分(40.46±13.70 vs 47.61±17.15)则显著低于对照组,差异有统计学意义(P<0.05);两组间恶心呕吐、气促、便秘、腹泻和经济困难差异无统计学意义(P>0.05);观察组患者化疗期间白细胞及血小板下降不良反应发生率低于对照组(20/58 vs 27/42;P<0.05);两组患者血清VEGF水平比较,观察组水平低于对照组,且差异有统计学意义(127.35±126.03 vs 183.86±120.55;P<0.05)。结论 沙利度胺对EGFR野生型晚期非小细胞肺癌化疗期间的生活质量起到改善作用,且降低不良反应发生率及VEGF水平。展开更多
大熊猫系我国特产的世界珍稀动物,素有“活化石”和“国宝”之称。限于材料来源,虽有核型的少数报道(邓承宗等,1980;陈文元等,1984;Newnham et al.,1966),但研究尚不够深入。1980年,Wurster-Hill和Bush首先报道了大熊猫(♂)的显带核型,...大熊猫系我国特产的世界珍稀动物,素有“活化石”和“国宝”之称。限于材料来源,虽有核型的少数报道(邓承宗等,1980;陈文元等,1984;Newnham et al.,1966),但研究尚不够深入。1980年,Wurster-Hill和Bush首先报道了大熊猫(♂)的显带核型,并与杂交熊等比较,探讨了大熊猫的分类地位。本文对四只大熊猫的G带、C带核型和Ag-NORs作了分析,绘制了G带核型模式图,并提出了某些商榷的意见。展开更多
Due to the nonlinearity and nonstationary of hydropower market data, a novel hybrid learning paradigm is proposed to predict hydropower consumption, by incorporating firefly algorithm （FA） into least square support ...Due to the nonlinearity and nonstationary of hydropower market data, a novel hybrid learning paradigm is proposed to predict hydropower consumption, by incorporating firefly algorithm （FA） into least square support vector regression （LSSVR）, i.e., FA-based LSSVR model. In the novel model, the powerful and effective artificial intelligence （AI） technique, i.e., LSSVR, is employed to forecast hydropower consumption. Furthermore, a promising AI optimization tool, i.e., FA, is espe- cially introduced to address the crucial but difficult task of parameters determination in LSSVR （e.g., hyper and kernel function parameters）. With the Chinese hydropower consumption as sample data, the empirical study has statistically confirmed the superiority of the novel FA-based LSSVR model to other benchmark models （including existing popular traditional econometric models, AI models and similar hybrid LSSVRs with other popular parameter searching tools）~ in terms of level and direc- tional accuracy. The empirical results also imply that the hybrid FA-based LSSVR learning paradigm with powerful forecasting tool and parameters optimization method can be employed as an effective forecasting tool for not only hydropower consumption but also other complex data.展开更多
文摘目的 观察沙利度胺联合化疗治疗表皮生长因子受体(epidermal growth factor receptor, EGFR)野生型晚期非小细胞肺癌(non-small cell lung cancer, NSCLC)患者的生活质量评分、不良反应发生率以及对血清血管内皮生长因子(vascular endothelial growth factor, VEGF)水平的影响。方法 纳入2021年1月至2022年12月在蚌埠医学院第一附属医院肿瘤内科接受治疗的EGFR野生型晚期NSCLC患者,共纳入100例。观察组为采用沙利度胺联合含铂两药化疗治疗患者;对照组为单用含铂两药化疗治疗的患者。观察组共纳入58例患者,给予含铂两药化疗方案治疗;同时口服沙利度胺片100 mg,每日一次,睡前服用;对照组共纳入42例患者,给予化疗方案剂量同上,两组化疗前常规给予止吐药物预防性治疗。比较用药后第7~14天两组患者生活质量各领域评分;比较两组患者治疗期间不良反应发生率;比较两组患者治疗后血清VEGF水平差异。结果 观察组患者第7~14天的躯体(79.18±8.59 vs 64.94±8.60)、角色(71.82±14.05 vs 59.00±12.10)、情绪功能(81.94±15.95 vs 69.71±11.38)、认知(74.53±11.74 vs 59.56±8.75)、社会功能(82.24±13.70 vs 66.82±10.11)和总体健康状况评分(70.81±9.67 vs 60.11±8.77)较对照组患者均明显提高,差异有统计学意义(P<0.05);疲倦(28.08±13.09 vs 38.53±14.23)、疼痛(27.44±8.17 vs 39.19±10.13)、失眠(38.07±12.12 vs 45.23±16.61)和食欲丧失症状评分(40.46±13.70 vs 47.61±17.15)则显著低于对照组,差异有统计学意义(P<0.05);两组间恶心呕吐、气促、便秘、腹泻和经济困难差异无统计学意义(P>0.05);观察组患者化疗期间白细胞及血小板下降不良反应发生率低于对照组(20/58 vs 27/42;P<0.05);两组患者血清VEGF水平比较,观察组水平低于对照组,且差异有统计学意义(127.35±126.03 vs 183.86±120.55;P<0.05)。结论 沙利度胺对EGFR野生型晚期非小细胞肺癌化疗期间的生活质量起到改善作用,且降低不良反应发生率及VEGF水平。
文摘大熊猫系我国特产的世界珍稀动物,素有“活化石”和“国宝”之称。限于材料来源,虽有核型的少数报道(邓承宗等,1980;陈文元等,1984;Newnham et al.,1966),但研究尚不够深入。1980年,Wurster-Hill和Bush首先报道了大熊猫(♂)的显带核型,并与杂交熊等比较,探讨了大熊猫的分类地位。本文对四只大熊猫的G带、C带核型和Ag-NORs作了分析,绘制了G带核型模式图,并提出了某些商榷的意见。
基金supported by the National Science Fund for Distinguished Young Scholars under Grant No.71025005the National Natural Science Foundation of China under Grant Nos.91224001 and 71301006+1 种基金National Program for Support of Top-Notch Young Professionalsthe Fundamental Research Funds for the Central Universities in BUCT
文摘Due to the nonlinearity and nonstationary of hydropower market data, a novel hybrid learning paradigm is proposed to predict hydropower consumption, by incorporating firefly algorithm （FA） into least square support vector regression （LSSVR）, i.e., FA-based LSSVR model. In the novel model, the powerful and effective artificial intelligence （AI） technique, i.e., LSSVR, is employed to forecast hydropower consumption. Furthermore, a promising AI optimization tool, i.e., FA, is espe- cially introduced to address the crucial but difficult task of parameters determination in LSSVR （e.g., hyper and kernel function parameters）. With the Chinese hydropower consumption as sample data, the empirical study has statistically confirmed the superiority of the novel FA-based LSSVR model to other benchmark models （including existing popular traditional econometric models, AI models and similar hybrid LSSVRs with other popular parameter searching tools）~ in terms of level and direc- tional accuracy. The empirical results also imply that the hybrid FA-based LSSVR learning paradigm with powerful forecasting tool and parameters optimization method can be employed as an effective forecasting tool for not only hydropower consumption but also other complex data.
