This research introduces a novel approach to enhancing bucket elevator design and operation through the integration of discrete element method(DEM)simulation,design of experiments(DOE),and metaheuristic optimization a...This research introduces a novel approach to enhancing bucket elevator design and operation through the integration of discrete element method(DEM)simulation,design of experiments(DOE),and metaheuristic optimization algorithms.Specifically,the study employs the firefly algorithm(FA),a metaheuristic optimization technique,to optimize bucket elevator parameters for maximizing transport mass and mass flow rate discharge of granular materials under specified working conditions.The experimental methodology involves several key steps:screening experiments to identify significant factors affecting bucket elevator operation,central composite design(CCD)experiments to further explore these factors,and response surface methodology(RSM)to create predictive models for transport mass and mass flow rate discharge.The FA algorithm is then applied to optimize these models,and the results are validated through simulation and empirical experiments.The study validates the optimized parameters through simulation and empirical experiments,comparing results with DEM simulation.The outcomes demonstrate the effectiveness of the FA algorithm in identifying optimal bucket parameters,showcasing less than 10%and 15%deviation for transport mass and mass flow rate discharge,respectively,between predicted and actual values.Overall,this research provides insights into the critical factors influencing bucket elevator operation and offers a systematic methodology for optimizing bucket parameters,contributing to more efficient material handling in various industrial applications.展开更多
目的:本研究旨在评估FAS和B7-H4在重度子痫前期(sPE)中的诊断价值及其对围产期不良心血管结局的预测价值。方法:使用GEO2R在线工具分析GSE2347219数据集。收集60例健康孕妇和60名sPE患者,并收集血清。通过RT-qPCR分析血清B7-H4和FAS的...目的:本研究旨在评估FAS和B7-H4在重度子痫前期(sPE)中的诊断价值及其对围产期不良心血管结局的预测价值。方法:使用GEO2R在线工具分析GSE2347219数据集。收集60例健康孕妇和60名sPE患者,并收集血清。通过RT-qPCR分析血清B7-H4和FAS的表达水平。通过直接ROC分析评估FAS和B7-H4分别对sPE的诊断价值和不良心血管结局的预测价值。通过二元logistics回归分析因子预测概率值,然后进行ROC分析,评估AS和B7-H4联合对sPE的诊断价值和不良心血管结局的预测价值。使用sPE血清培养心肌细胞,检测细胞中的肥大因子和纤维化因子。结果:GSE2347219数据集分析结果显示,FAS和B7-H4在sPE胎盘组织中上调。血清检测结果表明,FAS和B7-H4在sPE血清中上调。直接ROC分析结果表明,FAS和B7-H4可以区分sPE病例与正常孕妇,而且可以预测不良心血管结局。二元logistics回归分析和ROC分析结果表明,B7-H4联合FAS可以有效地区分sPE病例与正常孕妇并有效预测不良心血管结局。sPE血清培养可以升高心肌细胞中的肥大因子(ANP、BNP和β-MHC)和纤维化因子COL1A1的水平。结论:B7-H4 (VTCN1)联合FAS可以作为sPE患者的诊断因子和不良心血管结局的预测因子。Objective: The aim of this study was to evaluate the diagnostic value of FAS and B7-H4 in severe preeclampsia (sPE) and its predictive value for adverse perinatal cardiovascular outcomes. Methods: The GSE2347219 dataset was analyzed using the GEO2R online tool. Sixty healthy pregnant women and sixty patients who were sPE were collected and serum was collected. The expression levels of serum B7-H4 and FAS were analyzed by RT-qPCR. The diagnostic value of FAS and B7-H4 for sPE and the predictive value of adverse cardiovascular outcomes were assessed by direct ROC analysis. Predictive probability values were analyzed by binary logistics regression followed by ROC analysis to assess the diagnostic value and predictive value of adverse cardiovascular outcomes of combined FAS and B7-H4. Cardiomyocytes were cultured using sPE serum, and hypertrophic and fibrotic factors were detected in the cells. Results: Analysis of GSE2347219 dataset showed that FAS and B7-H4 were upregulated in sPE placental tissues. Serum assay results indicated that FAS and B7-H4 were upregulated in sPE serum. Direct ROC analysis showed that FAS and B7-H4 could distinguish sPE cases from normal pregnant women and that they could predict adverse cardiovascular outcomes. Binary logistic regression analysis and ROC analysis showed that B7-H4 in combination with FAS could effectively differentiate sPE cases from normal pregnant women and effectively predict adverse cardiovascular outcomes. sPE serum culture elevated the levels of hypertrophic factors (ANP, BNP, and β-MHC) and fibrosis factor COL1A1 in cardiomyocytes. Conclusion: B7-H4 (VTCN1) in combination with FAS can be used as a diagnostic factor and predictor of adverse cardiovascular outcomes in patients with sPE.展开更多
基金This research was funded by the Faculty of Engineering,King Mongkut’s University of Technology North Bangkok.Contract No.ENG-NEW-66-39.
文摘This research introduces a novel approach to enhancing bucket elevator design and operation through the integration of discrete element method(DEM)simulation,design of experiments(DOE),and metaheuristic optimization algorithms.Specifically,the study employs the firefly algorithm(FA),a metaheuristic optimization technique,to optimize bucket elevator parameters for maximizing transport mass and mass flow rate discharge of granular materials under specified working conditions.The experimental methodology involves several key steps:screening experiments to identify significant factors affecting bucket elevator operation,central composite design(CCD)experiments to further explore these factors,and response surface methodology(RSM)to create predictive models for transport mass and mass flow rate discharge.The FA algorithm is then applied to optimize these models,and the results are validated through simulation and empirical experiments.The study validates the optimized parameters through simulation and empirical experiments,comparing results with DEM simulation.The outcomes demonstrate the effectiveness of the FA algorithm in identifying optimal bucket parameters,showcasing less than 10%and 15%deviation for transport mass and mass flow rate discharge,respectively,between predicted and actual values.Overall,this research provides insights into the critical factors influencing bucket elevator operation and offers a systematic methodology for optimizing bucket parameters,contributing to more efficient material handling in various industrial applications.
文摘目的:本研究旨在评估FAS和B7-H4在重度子痫前期(sPE)中的诊断价值及其对围产期不良心血管结局的预测价值。方法:使用GEO2R在线工具分析GSE2347219数据集。收集60例健康孕妇和60名sPE患者,并收集血清。通过RT-qPCR分析血清B7-H4和FAS的表达水平。通过直接ROC分析评估FAS和B7-H4分别对sPE的诊断价值和不良心血管结局的预测价值。通过二元logistics回归分析因子预测概率值,然后进行ROC分析,评估AS和B7-H4联合对sPE的诊断价值和不良心血管结局的预测价值。使用sPE血清培养心肌细胞,检测细胞中的肥大因子和纤维化因子。结果:GSE2347219数据集分析结果显示,FAS和B7-H4在sPE胎盘组织中上调。血清检测结果表明,FAS和B7-H4在sPE血清中上调。直接ROC分析结果表明,FAS和B7-H4可以区分sPE病例与正常孕妇,而且可以预测不良心血管结局。二元logistics回归分析和ROC分析结果表明,B7-H4联合FAS可以有效地区分sPE病例与正常孕妇并有效预测不良心血管结局。sPE血清培养可以升高心肌细胞中的肥大因子(ANP、BNP和β-MHC)和纤维化因子COL1A1的水平。结论:B7-H4 (VTCN1)联合FAS可以作为sPE患者的诊断因子和不良心血管结局的预测因子。Objective: The aim of this study was to evaluate the diagnostic value of FAS and B7-H4 in severe preeclampsia (sPE) and its predictive value for adverse perinatal cardiovascular outcomes. Methods: The GSE2347219 dataset was analyzed using the GEO2R online tool. Sixty healthy pregnant women and sixty patients who were sPE were collected and serum was collected. The expression levels of serum B7-H4 and FAS were analyzed by RT-qPCR. The diagnostic value of FAS and B7-H4 for sPE and the predictive value of adverse cardiovascular outcomes were assessed by direct ROC analysis. Predictive probability values were analyzed by binary logistics regression followed by ROC analysis to assess the diagnostic value and predictive value of adverse cardiovascular outcomes of combined FAS and B7-H4. Cardiomyocytes were cultured using sPE serum, and hypertrophic and fibrotic factors were detected in the cells. Results: Analysis of GSE2347219 dataset showed that FAS and B7-H4 were upregulated in sPE placental tissues. Serum assay results indicated that FAS and B7-H4 were upregulated in sPE serum. Direct ROC analysis showed that FAS and B7-H4 could distinguish sPE cases from normal pregnant women and that they could predict adverse cardiovascular outcomes. Binary logistic regression analysis and ROC analysis showed that B7-H4 in combination with FAS could effectively differentiate sPE cases from normal pregnant women and effectively predict adverse cardiovascular outcomes. sPE serum culture elevated the levels of hypertrophic factors (ANP, BNP, and β-MHC) and fibrosis factor COL1A1 in cardiomyocytes. Conclusion: B7-H4 (VTCN1) in combination with FAS can be used as a diagnostic factor and predictor of adverse cardiovascular outcomes in patients with sPE.
