目的:探讨ALC1(amplified in liver cancer 1)在食管鳞癌组织中的表达及与临床病理特征及总生存率关系,检测过表达ALC1基因对食管癌细胞恶性生物学行为的影响。方法:采用免疫组织化学方法检测245例食管鳞癌组织及癌旁组织中ALC1蛋白的表...目的:探讨ALC1(amplified in liver cancer 1)在食管鳞癌组织中的表达及与临床病理特征及总生存率关系,检测过表达ALC1基因对食管癌细胞恶性生物学行为的影响。方法:采用免疫组织化学方法检测245例食管鳞癌组织及癌旁组织中ALC1蛋白的表达,并探讨其与食管鳞癌患者性别、年龄、分化程度、浸润深度、TNM分期、远处淋巴结转移关系及总生存率关系;采用MTT法、克隆形成实验、Transwell实验及细胞划痕实验等观察高表达ALC1基因在食管癌细胞中的增殖、侵袭及迁移作用。结果:ALC1蛋白在食管癌组织中的阳性表达率明显高于癌旁组织(41.6%vs.21.2%,P<0.05);ALC1的高表达与肿瘤的浸润深度、TNM分期和淋巴结转移明显相关(P<0.05)。ALC1高表达的食管鳞癌患者总生存率低。ALC1基因能够促进KYSE30食管癌细胞过度增殖、侵袭和迁移。结论:ALC1表达升高可能与食管鳞癌的发生、发展相关,导致总生存率下降,高表达的ALC1基因增强KYSE30食管癌细胞的增殖、侵袭及迁移能力,检测ALC1可能为食管癌预后判断提供依据。展开更多
Recently the integrated modular avionics （IMA） architecture which introduces the concept of resource partitioning becomes popular as an alternative to the traditional federated architecture. A novel hierarchical app...Recently the integrated modular avionics （IMA） architecture which introduces the concept of resource partitioning becomes popular as an alternative to the traditional federated architecture. A novel hierarchical approach is proposed to solve the resource allocation problem for IMA systems in distributed environments. Firstly, the worst case response time of tasks with arbitrary deadlines is analyzed for the two-level scheduler. Then, the hierarchical resource allocation approach is presented in two levels. At the platform level, a task assignment algorithm based on genetic simulated annealing （GSA） is proposed to assign a set of pre-defined tasks to different processing nodes in the form of task groups, so that resources can be allocated as partitions and mapped to task groups. While yielding to all the resource con- straints, the algorithm tries to find an optimal task assignment with minimized communication costs and balanced work load. At the node level, partition parameters are optimized, so that the computational resource can be allocated further. An example is shown to illustrate the hierarchal resource allocation approach and manifest the validity. Simulation results comparing the performance of the proposed GSA with that of traditional genetic algorithms are presented in the context of task assignment in IMA systems.展开更多
Hefei Light Source(HLS)is a synchrotron radiation light source that primarily produces vacuum ultraviolet and soft X-rays.It currently consists of ten experimental stations,including a soft X-ray microscopy station.As...Hefei Light Source(HLS)is a synchrotron radiation light source that primarily produces vacuum ultraviolet and soft X-rays.It currently consists of ten experimental stations,including a soft X-ray microscopy station.As part of its on-going efforts to establish a centralized scientific data management platform,HLS is in the process of developing a test sys-tem that covers the entire lifecycle of scientific data,including data generation,acquisition,processing,analysis,and de-struction.However,the instruments used in the soft X-ray microscopy experimental station rely on commercial propriet-ary software for data acquisition and processing.We developed a semi-automatic data acquisition program to facilitate the integration of soft X-ray microscopy stations into a centralized scientific data management platform.Additionally,we cre-ated an online data processing platform to assist users in analyzing their scientific data.The system we developed and de-ployed meets the design requirements,successfully integrating the soft X-ray microscopy station into the full lifecycle management of scientific data.展开更多
文摘目的:探讨ALC1(amplified in liver cancer 1)在食管鳞癌组织中的表达及与临床病理特征及总生存率关系,检测过表达ALC1基因对食管癌细胞恶性生物学行为的影响。方法:采用免疫组织化学方法检测245例食管鳞癌组织及癌旁组织中ALC1蛋白的表达,并探讨其与食管鳞癌患者性别、年龄、分化程度、浸润深度、TNM分期、远处淋巴结转移关系及总生存率关系;采用MTT法、克隆形成实验、Transwell实验及细胞划痕实验等观察高表达ALC1基因在食管癌细胞中的增殖、侵袭及迁移作用。结果:ALC1蛋白在食管癌组织中的阳性表达率明显高于癌旁组织(41.6%vs.21.2%,P<0.05);ALC1的高表达与肿瘤的浸润深度、TNM分期和淋巴结转移明显相关(P<0.05)。ALC1高表达的食管鳞癌患者总生存率低。ALC1基因能够促进KYSE30食管癌细胞过度增殖、侵袭和迁移。结论:ALC1表达升高可能与食管鳞癌的发生、发展相关,导致总生存率下降,高表达的ALC1基因增强KYSE30食管癌细胞的增殖、侵袭及迁移能力,检测ALC1可能为食管癌预后判断提供依据。
基金supported by the National Natural Science Foundation of China (60879024)
文摘Recently the integrated modular avionics （IMA） architecture which introduces the concept of resource partitioning becomes popular as an alternative to the traditional federated architecture. A novel hierarchical approach is proposed to solve the resource allocation problem for IMA systems in distributed environments. Firstly, the worst case response time of tasks with arbitrary deadlines is analyzed for the two-level scheduler. Then, the hierarchical resource allocation approach is presented in two levels. At the platform level, a task assignment algorithm based on genetic simulated annealing （GSA） is proposed to assign a set of pre-defined tasks to different processing nodes in the form of task groups, so that resources can be allocated as partitions and mapped to task groups. While yielding to all the resource con- straints, the algorithm tries to find an optimal task assignment with minimized communication costs and balanced work load. At the node level, partition parameters are optimized, so that the computational resource can be allocated further. An example is shown to illustrate the hierarchal resource allocation approach and manifest the validity. Simulation results comparing the performance of the proposed GSA with that of traditional genetic algorithms are presented in the context of task assignment in IMA systems.
基金supported by the Fundamental Research Funds for the Central Universities(WK2310000102)。
文摘Hefei Light Source(HLS)is a synchrotron radiation light source that primarily produces vacuum ultraviolet and soft X-rays.It currently consists of ten experimental stations,including a soft X-ray microscopy station.As part of its on-going efforts to establish a centralized scientific data management platform,HLS is in the process of developing a test sys-tem that covers the entire lifecycle of scientific data,including data generation,acquisition,processing,analysis,and de-struction.However,the instruments used in the soft X-ray microscopy experimental station rely on commercial propriet-ary software for data acquisition and processing.We developed a semi-automatic data acquisition program to facilitate the integration of soft X-ray microscopy stations into a centralized scientific data management platform.Additionally,we cre-ated an online data processing platform to assist users in analyzing their scientific data.The system we developed and de-ployed meets the design requirements,successfully integrating the soft X-ray microscopy station into the full lifecycle management of scientific data.
