目的探究血清网膜素-1(Omentin-1)、补体/C1q肿瘤坏死因子相关蛋白9(CTRP-9)水平与急性脑梗死(ACI)神经功能康复的相关性。方法选取2022年11月至2024年2月于该院治疗的ACI患者106例作为研究组,其中包括ACI神经功能康复良好患者62例(良好...目的探究血清网膜素-1(Omentin-1)、补体/C1q肿瘤坏死因子相关蛋白9(CTRP-9)水平与急性脑梗死(ACI)神经功能康复的相关性。方法选取2022年11月至2024年2月于该院治疗的ACI患者106例作为研究组,其中包括ACI神经功能康复良好患者62例(良好组)和康复不良患者44例(不良组)。采用酶联免疫吸附试验检测所有研究对象的血清Omentin-1、CTRP-9水平;采用Spearman相关性分析血清Omentin-1、CTRP-9水平与ACI患者入院时的美国国立卫生研究院卒中量表(NIHSS)评分及脑梗死体积的相关性;采用多因素Logistic回归分析ACI患者神经功能康复不良的影响因素;采用受试者工作特征(ROC)曲线分析血清Omentin-1、CTRP-9水平对ACI患者神经功能康复不良的诊断价值。结果良好组血清Omentin-1、CTRP-9水平明显高于不良组(P<0.05),入院时NIHSS评分、脑梗死面积和发病90 d时改良Rankin量表(mRS)评分明显低于不良组(P<0.05);Spearman相关性分析显示,血清Omentin-1、CTRP-9水平与90 d mRS评分呈负相关(r=-0.648,-0.573,均P<0.001);多因素Logistic回归分析结果显示,90 d mRS评分是ACI患者神经功能康复不良的危险因素(P<0.05),血清Omentin-1、CTRP-9水平是ACI患者神经功能康复不良的保护因素(P<0.05);ROC曲线分析结果显示,血清Omentin-1、CTRP-9水平诊断ACI患者神经功能康复不良的曲线下面积(AUC)为0.843、0.828,二者联合诊断的AUC为0.937,明显大于二者单独诊断(Z_(二者联合-Omentin-1)=2.321,P=0.020;Z_(二者联合-CTRP-9)=2.532,P=0.011)。结论ACI神经功能康复不良患者血清Omentin-1、CTRP-9水平明显降低,且Omentin-1、CTRP-9水平与90 d mRS评分呈负相关,与神经功能康复情况密切相关。展开更多
Q345D high-quality low-carbon steel has been extensively employed in structures with stringent weld- ing quality requirements. A multi-objective optimization of welding stress and deformation was presented to design r...Q345D high-quality low-carbon steel has been extensively employed in structures with stringent weld- ing quality requirements. A multi-objective optimization of welding stress and deformation was presented to design reasonable values of gas metal arc welding parameters and sequences of Q345D T-joints. The optimized factors included continuous variables （welding current （I）, welding voltage （U） ahd welding speed （V）） and discrete variables （welding sequence （S） and welding direc- tion （D））. The concepts of the pointer and stack in Visual Basic （VB） and the interpolation method were introduced to optimize the variables. The optimization objectives included the different combina- tions of the angular distortion and transverse welding stress along the transverse and longitudinal dis- tributions. Based on the design of experiments （DOE） and the polynomial regression （PR） model, the finite element （FE） results of the T-joint were used to establish the mathematical models. The Pareto front and the compromise solutions were obtained by using a multi-objective particle swarm optimization （MOPSO） algorithm. The optimal results were validated by the corresponding results of the FE method, and the error between the FE results and the two-objective results as well as that be-tween the FE results and the three-objective optimization results were less than 17.2% and 21.5%, respectively. The influence and setting regularity of different factors were discussed according to the compromise solutions.展开更多
文摘目的探究血清网膜素-1(Omentin-1)、补体/C1q肿瘤坏死因子相关蛋白9(CTRP-9)水平与急性脑梗死(ACI)神经功能康复的相关性。方法选取2022年11月至2024年2月于该院治疗的ACI患者106例作为研究组,其中包括ACI神经功能康复良好患者62例(良好组)和康复不良患者44例(不良组)。采用酶联免疫吸附试验检测所有研究对象的血清Omentin-1、CTRP-9水平;采用Spearman相关性分析血清Omentin-1、CTRP-9水平与ACI患者入院时的美国国立卫生研究院卒中量表(NIHSS)评分及脑梗死体积的相关性;采用多因素Logistic回归分析ACI患者神经功能康复不良的影响因素;采用受试者工作特征(ROC)曲线分析血清Omentin-1、CTRP-9水平对ACI患者神经功能康复不良的诊断价值。结果良好组血清Omentin-1、CTRP-9水平明显高于不良组(P<0.05),入院时NIHSS评分、脑梗死面积和发病90 d时改良Rankin量表(mRS)评分明显低于不良组(P<0.05);Spearman相关性分析显示,血清Omentin-1、CTRP-9水平与90 d mRS评分呈负相关(r=-0.648,-0.573,均P<0.001);多因素Logistic回归分析结果显示,90 d mRS评分是ACI患者神经功能康复不良的危险因素(P<0.05),血清Omentin-1、CTRP-9水平是ACI患者神经功能康复不良的保护因素(P<0.05);ROC曲线分析结果显示,血清Omentin-1、CTRP-9水平诊断ACI患者神经功能康复不良的曲线下面积(AUC)为0.843、0.828,二者联合诊断的AUC为0.937,明显大于二者单独诊断(Z_(二者联合-Omentin-1)=2.321,P=0.020;Z_(二者联合-CTRP-9)=2.532,P=0.011)。结论ACI神经功能康复不良患者血清Omentin-1、CTRP-9水平明显降低,且Omentin-1、CTRP-9水平与90 d mRS评分呈负相关,与神经功能康复情况密切相关。
基金financially sponsored by National Natural Science Foundation of China(No.50975121)Changchun Science and Technology Plan Projects(No.10KZ03)the Plan for Scientific and Technology Development of Jilin Province(No.20150520106JH)
文摘Q345D high-quality low-carbon steel has been extensively employed in structures with stringent weld- ing quality requirements. A multi-objective optimization of welding stress and deformation was presented to design reasonable values of gas metal arc welding parameters and sequences of Q345D T-joints. The optimized factors included continuous variables （welding current （I）, welding voltage （U） ahd welding speed （V）） and discrete variables （welding sequence （S） and welding direc- tion （D））. The concepts of the pointer and stack in Visual Basic （VB） and the interpolation method were introduced to optimize the variables. The optimization objectives included the different combina- tions of the angular distortion and transverse welding stress along the transverse and longitudinal dis- tributions. Based on the design of experiments （DOE） and the polynomial regression （PR） model, the finite element （FE） results of the T-joint were used to establish the mathematical models. The Pareto front and the compromise solutions were obtained by using a multi-objective particle swarm optimization （MOPSO） algorithm. The optimal results were validated by the corresponding results of the FE method, and the error between the FE results and the two-objective results as well as that be-tween the FE results and the three-objective optimization results were less than 17.2% and 21.5%, respectively. The influence and setting regularity of different factors were discussed according to the compromise solutions.
