目的:探讨肠内营养辅助治疗对食管癌患者术后吻合口瘘的预防效果及对患者免疫功能、愈合进程及营养恢复的影响。方法:回顾性分析90例行手术治疗的食管癌患者临床资料,根据其术后营养辅助治疗方式分为A(n=34)、B(n=30)、C(n=26)三组。A...目的:探讨肠内营养辅助治疗对食管癌患者术后吻合口瘘的预防效果及对患者免疫功能、愈合进程及营养恢复的影响。方法:回顾性分析90例行手术治疗的食管癌患者临床资料,根据其术后营养辅助治疗方式分为A(n=34)、B(n=30)、C(n=26)三组。A组接受免疫增强型肠内营养(瑞能)辅助治疗方案,B组采用常规肠内营养(能全力)辅助治疗方案,两组均于术后第1天、第2天及第3~7天给予全量的25%、50%和100%后,逐日减少剂量直至过渡到正常饮食;C组接受肠外营养辅助治疗方案,术后第1天起静脉输注葡萄糖、维生素、氨基酸等混合液,以125.52 k J/kg计算,应用8~10 d后逐渐过渡至正常饮食。观察对比三组受试者术后吻合口瘘、肺部感染、切口感染发生率及创口愈合时间、总住院时间、首次排气时间差异,记录其术前及术后第1、8天时免疫指标[T淋巴细胞及其亚群(CD3^+、CD4^+、CD8^+)]、炎症因子[C反应蛋白(CRP)、IL-6]、营养指标[血清总蛋白(TP)、清蛋白(ALB)]变化情况。结果:(1)三组术后吻合口瘘及肺部感染发生率对比差异有统计学意义(P<0.05),且C组发生率显著高于其他两组(P<0.05)。(2)三组创口愈合时间、总住院时间及首次排气时间对比均有统计学意义(P<0.05),且C组均长于其他两组(P<0.05)。(3)术后第1天,三组患者CD3^+、CD4^+、CD4^+/CD8^+等免疫指标水平及TP、ALB等营养指标水平均较术前显著降低,CD8^+水平及CRP、IL-6等炎症因子水平则较术前显著提升(P<0.05),但组间对比无统计学意义(P>0.05)。术后第8天,三组各营养指标仍明显低于术前,但A、B组显著高于C组(P<0.05);各炎症因子指标仍显著高于术前(P<0.05),但A、B组显著低于C组(P<0.05)。三组中A组术后第8天各免疫指标与术前比较无统计学意义(P>0.05),其余两组患者CD3^+、CD4^+、CD4^+/CD8^+水平均较术前降低,CD8^+水平则明显提升(P<0.05)。结论:食管癌患者术后�展开更多
A new fault-diagnosis method to be used in batch processes based on multi-phase regression is presented to overcome the difficulty arising in the processes due to non-uniform sample data in each phase.Support vector m...A new fault-diagnosis method to be used in batch processes based on multi-phase regression is presented to overcome the difficulty arising in the processes due to non-uniform sample data in each phase.Support vector machine is first used for phase identification,and for each phase,improved artificial immune network is developed to analyze and recognize fault patterns.A new cell elimination role is proposed to enhance the incremental clustering capability of the immune network.The proposed method has been applied to glutamic acid fermentation,comparison results have indicated that the proposed approach can better classify fault samples and yield higher diagnosis precision.展开更多
In recent years, immune genetic algorithm (IGA) is gaining popularity for finding the optimal solution for non-linear optimization problems in many engineering applications. However, IGA with deterministic mutation fa...In recent years, immune genetic algorithm (IGA) is gaining popularity for finding the optimal solution for non-linear optimization problems in many engineering applications. However, IGA with deterministic mutation factor suffers from the problem of premature convergence. In this study, a modified self-adaptive immune genetic algorithm (MSIGA) with two memory bases, in which immune concepts are applied to determine the mutation parameters, is proposed to improve the searching ability of the algorithm and maintain population diversity. Performance comparisons with other well-known population-based iterative algorithms show that the proposed method converges quickly to the global optimum and overcomes premature problem. This algorithm is applied to optimize a feed forward neural network to measure the content of products in the combustion side reaction of p-xylene oxidation, and satisfactory results are obtained.展开更多
文摘目的:探讨肠内营养辅助治疗对食管癌患者术后吻合口瘘的预防效果及对患者免疫功能、愈合进程及营养恢复的影响。方法:回顾性分析90例行手术治疗的食管癌患者临床资料,根据其术后营养辅助治疗方式分为A(n=34)、B(n=30)、C(n=26)三组。A组接受免疫增强型肠内营养(瑞能)辅助治疗方案,B组采用常规肠内营养(能全力)辅助治疗方案,两组均于术后第1天、第2天及第3~7天给予全量的25%、50%和100%后,逐日减少剂量直至过渡到正常饮食;C组接受肠外营养辅助治疗方案,术后第1天起静脉输注葡萄糖、维生素、氨基酸等混合液,以125.52 k J/kg计算,应用8~10 d后逐渐过渡至正常饮食。观察对比三组受试者术后吻合口瘘、肺部感染、切口感染发生率及创口愈合时间、总住院时间、首次排气时间差异,记录其术前及术后第1、8天时免疫指标[T淋巴细胞及其亚群(CD3^+、CD4^+、CD8^+)]、炎症因子[C反应蛋白(CRP)、IL-6]、营养指标[血清总蛋白(TP)、清蛋白(ALB)]变化情况。结果:(1)三组术后吻合口瘘及肺部感染发生率对比差异有统计学意义(P<0.05),且C组发生率显著高于其他两组(P<0.05)。(2)三组创口愈合时间、总住院时间及首次排气时间对比均有统计学意义(P<0.05),且C组均长于其他两组(P<0.05)。(3)术后第1天,三组患者CD3^+、CD4^+、CD4^+/CD8^+等免疫指标水平及TP、ALB等营养指标水平均较术前显著降低,CD8^+水平及CRP、IL-6等炎症因子水平则较术前显著提升(P<0.05),但组间对比无统计学意义(P>0.05)。术后第8天,三组各营养指标仍明显低于术前,但A、B组显著高于C组(P<0.05);各炎症因子指标仍显著高于术前(P<0.05),但A、B组显著低于C组(P<0.05)。三组中A组术后第8天各免疫指标与术前比较无统计学意义(P>0.05),其余两组患者CD3^+、CD4^+、CD4^+/CD8^+水平均较术前降低,CD8^+水平则明显提升(P<0.05)。结论:食管癌患者术后�
基金Sponsored by the Research Foundation of Beijing Institute of Technology (20080642001)
文摘A new fault-diagnosis method to be used in batch processes based on multi-phase regression is presented to overcome the difficulty arising in the processes due to non-uniform sample data in each phase.Support vector machine is first used for phase identification,and for each phase,improved artificial immune network is developed to analyze and recognize fault patterns.A new cell elimination role is proposed to enhance the incremental clustering capability of the immune network.The proposed method has been applied to glutamic acid fermentation,comparison results have indicated that the proposed approach can better classify fault samples and yield higher diagnosis precision.
基金Supported by the Major State Basic Research Development Program of China (2012CB720500)the National Natural Science Foundation of China (Key Program: U1162202)+1 种基金the National Natural Science Foundation of China (General Program:61174118)Shanghai Leading Academic Discipline Project (B504)
文摘In recent years, immune genetic algorithm (IGA) is gaining popularity for finding the optimal solution for non-linear optimization problems in many engineering applications. However, IGA with deterministic mutation factor suffers from the problem of premature convergence. In this study, a modified self-adaptive immune genetic algorithm (MSIGA) with two memory bases, in which immune concepts are applied to determine the mutation parameters, is proposed to improve the searching ability of the algorithm and maintain population diversity. Performance comparisons with other well-known population-based iterative algorithms show that the proposed method converges quickly to the global optimum and overcomes premature problem. This algorithm is applied to optimize a feed forward neural network to measure the content of products in the combustion side reaction of p-xylene oxidation, and satisfactory results are obtained.
