<strong>Background:</strong> <span lang="EN-US" style="font-family:;" "=""><span style="font-family:Verdana;font-size:12px;">Acute Ventricular septa...<strong>Background:</strong> <span lang="EN-US" style="font-family:;" "=""><span style="font-family:Verdana;font-size:12px;">Acute Ventricular septal rupture is one of dreadful complications of acute evolving myocardial infarction. Despite urgent management is lifesaving, it is still challenging and has a high risk of mortality particularly if recurrent or residual defects occurred. Evolving of skillfulness in transcatheter intervention of heart diseases paved the way for successful hybrid management of challenging cardiac cases specially for residual complicated cases post cardiac surgery.</span><b><span style="font-family:Verdana;font-size:12px;"> Case Presentation: </span></b><span style="font-family:Verdana;font-size:12px;">We described here a successful hybrid two stage technique (surgical then transcatheter approach) to close two consecutive acute ventricular septal ruptures in 75 years old female presented with cardiogenic shock post evolving myocardial infarction.</span><b><span style="font-family:Verdana;font-size:12px;"> Conclusion: </span></b><span style="font-family:Verdana;font-size:12px;">Hybrid repair by surgical and transcatheter interventions may be a good therapeutic modality for acute septal ruptures specially for residual or new defects after initial closure.</span></span>展开更多
This paper presents a new hybrid genetic algorithm for the vertex cover problems in which scan-repair and local improvement techniques are used for local optimization. With the hybrid approach, genetic algorithms are ...This paper presents a new hybrid genetic algorithm for the vertex cover problems in which scan-repair and local improvement techniques are used for local optimization. With the hybrid approach, genetic algorithms are used to perform global exploration in a population, while neighborhood search methods are used to perform local exploitation around the chromosomes. The experimental results indicate that hybrid genetic algorithms can obtain solutions of excellent quality to the problem instances with different sizes. The pure genetic algorithms are outperformed by the neighborhood search heuristics procedures combined with genetic algorithms.展开更多
文摘<strong>Background:</strong> <span lang="EN-US" style="font-family:;" "=""><span style="font-family:Verdana;font-size:12px;">Acute Ventricular septal rupture is one of dreadful complications of acute evolving myocardial infarction. Despite urgent management is lifesaving, it is still challenging and has a high risk of mortality particularly if recurrent or residual defects occurred. Evolving of skillfulness in transcatheter intervention of heart diseases paved the way for successful hybrid management of challenging cardiac cases specially for residual complicated cases post cardiac surgery.</span><b><span style="font-family:Verdana;font-size:12px;"> Case Presentation: </span></b><span style="font-family:Verdana;font-size:12px;">We described here a successful hybrid two stage technique (surgical then transcatheter approach) to close two consecutive acute ventricular septal ruptures in 75 years old female presented with cardiogenic shock post evolving myocardial infarction.</span><b><span style="font-family:Verdana;font-size:12px;"> Conclusion: </span></b><span style="font-family:Verdana;font-size:12px;">Hybrid repair by surgical and transcatheter interventions may be a good therapeutic modality for acute septal ruptures specially for residual or new defects after initial closure.</span></span>
基金This project was supported by the National Natural Science Foundation of China the Open Project Foundation of Comput-er Software New Technique National Key Laboratory of Nanjing University.
文摘This paper presents a new hybrid genetic algorithm for the vertex cover problems in which scan-repair and local improvement techniques are used for local optimization. With the hybrid approach, genetic algorithms are used to perform global exploration in a population, while neighborhood search methods are used to perform local exploitation around the chromosomes. The experimental results indicate that hybrid genetic algorithms can obtain solutions of excellent quality to the problem instances with different sizes. The pure genetic algorithms are outperformed by the neighborhood search heuristics procedures combined with genetic algorithms.
