Aortic valve stenosis is the most common valve disease in the western world. Over the past few years the number of aortic valve replacement （AVR） interventions has increased with outcomes that have been improved des...Aortic valve stenosis is the most common valve disease in the western world. Over the past few years the number of aortic valve replacement （AVR） interventions has increased with outcomes that have been improved despite increasing age of patients and increasing bur- den of comorbidities. However, despite such excellent results and its well-established position, conventional AVR has undergone great de- velopment over the previous two decades. Such progress, by way of less irtvasive incisions and use of new technologies, including tran- scatheter aortic valve implantation and sutureless valve prostheses, is intended to reduce the traumatic impact of the surgical procedure, thus fulfilling lower risk patients＇ expectations on the one hand, and extending the operability toward increasingly high-risk patients on the other. Sutureless and rapid deployment aortic valves are biological, pericardial prostheses that anchor within the aortic annulus with no more than three sutures. The sutureless prostheses, by avoiding the passage and the tying of the sutures, significantly reduce operative times and may improve outcomes. However, there is still a paucity of robust, evidence-based data on the role and performance of sutureless AVR. Therefore, strongest long-term data, randomized studies and registry data are required to adequately assess the durability and long-term outcomes of sutureless aortic valve replacement.展开更多
As a new promising paradigm, cloud computing can make good use of economics of scale and elastically deliver almost any IT related services on demand. Nevertheless, one of the key problems remaining in cloud computing...As a new promising paradigm, cloud computing can make good use of economics of scale and elastically deliver almost any IT related services on demand. Nevertheless, one of the key problems remaining in cloud computing is related to virtual machine images, which require a great amount of space/time to reposit/provision, especially with diverse requests from thousands of users simultaneously. In this paper, by using the splitting and eliminating redundant data techniques, a space and time efficient approach for virtual machines is proposed. The experiments demonstrate that, compared with existing solutions, our approach can conserve more disk space and speed up the provisioning of virtual machines.展开更多
文摘Aortic valve stenosis is the most common valve disease in the western world. Over the past few years the number of aortic valve replacement （AVR） interventions has increased with outcomes that have been improved despite increasing age of patients and increasing bur- den of comorbidities. However, despite such excellent results and its well-established position, conventional AVR has undergone great de- velopment over the previous two decades. Such progress, by way of less irtvasive incisions and use of new technologies, including tran- scatheter aortic valve implantation and sutureless valve prostheses, is intended to reduce the traumatic impact of the surgical procedure, thus fulfilling lower risk patients＇ expectations on the one hand, and extending the operability toward increasingly high-risk patients on the other. Sutureless and rapid deployment aortic valves are biological, pericardial prostheses that anchor within the aortic annulus with no more than three sutures. The sutureless prostheses, by avoiding the passage and the tying of the sutures, significantly reduce operative times and may improve outcomes. However, there is still a paucity of robust, evidence-based data on the role and performance of sutureless AVR. Therefore, strongest long-term data, randomized studies and registry data are required to adequately assess the durability and long-term outcomes of sutureless aortic valve replacement.
基金Project supported by the Shanghai Leading Academic Discipline Project(Grant No.J50103)the Natural Science Foundation of Shanghai Municipality(Grant No.10Z1411600)+1 种基金the Innovation Foundation of Shanghai Municipal Education Commission(Grant No.10YZ18)the National Science and Technology Major Project(Grant No.LX101102103)
文摘As a new promising paradigm, cloud computing can make good use of economics of scale and elastically deliver almost any IT related services on demand. Nevertheless, one of the key problems remaining in cloud computing is related to virtual machine images, which require a great amount of space/time to reposit/provision, especially with diverse requests from thousands of users simultaneously. In this paper, by using the splitting and eliminating redundant data techniques, a space and time efficient approach for virtual machines is proposed. The experiments demonstrate that, compared with existing solutions, our approach can conserve more disk space and speed up the provisioning of virtual machines.
