The Saccostrea mordax Gould,1850 is a typical intertidal species,whose genetic differentiation is influenced by various factors,including geological and climatic changes.To explore the genetic structure and historical...The Saccostrea mordax Gould,1850 is a typical intertidal species,whose genetic differentiation is influenced by various factors,including geological and climatic changes.To explore the genetic structure and historical population characteristics of Saccostrea mordax,we sequenced the mitochondrial cytochrome c oxidase subunit I(COI)gene from 58 specimens sampled from four locations in the western Pacific.Additionally,103 individuals from the Persian Gulf and western Pacific(from databases)were included for phylogenetic analysis.The Bayesian Inference tree showed that all specimens were divided into two clades,i.e.,the Persian Gulf population and the western Pacific population.Spatial molecular variance analysis indicated significant genetic differentiation between the two populations,and isolation by distance analysis revealed a positive correlation between genetic differentiation and geographic distance.Neutrality tests and Bayesian Skyline Plot suggested that both populations underwent expansions during the late Pleistocene.This study revealed the population history of Saccostrea mordax and described a new lineage,Saccostrea mordax lineage D,providing a foundation for understanding oyster biodiversity formation and genetic resource conservation.展开更多
在基于移动边缘计算(mobile edge computing,MEC)的第5代移动通信网络(5th generation mobile communication network,5G)中,针对无线虚拟现实(virtual reality,VR)用户在小小区间频繁切换而降低业务体验质量(quality of experience,QoE...在基于移动边缘计算(mobile edge computing,MEC)的第5代移动通信网络(5th generation mobile communication network,5G)中,针对无线虚拟现实(virtual reality,VR)用户在小小区间频繁切换而降低业务体验质量(quality of experience,QoE)的问题。考虑建立多视角3维(3-dimensional,3D)视频的主动缓存、计算和通信(caching,computing and communication,3C)资源分配数学模型,并采用深度强化学习(deep reinforcement learning,DRL)算法进行求解。将多视角3D视频的主动资源分配系统建模为联合视角选择和小基站3C资源分配的马尔科夫决策过程(Markov decision process,MDP),提出了一种基于深度确定性策略梯度(deep deterministic policy gradient,DDPG)算法来寻找有效解。仿真结果表明,与另外2种算法相比,所提算法可以为无线VR用户在小小区间移动时提供更好的业务体验。展开更多
基金Supported by the Key R&D Program of Shandong Province(No.2023CXGC010411)the National Key R&D Program of China(Nos.2023YFD2400800,2022YFD2401301,2022FY100304)+2 种基金the National Natural Science Foundation of China(Nos.42076092,41906083,41776179)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB42000000)the Earmarked Fund for Modern Agro-industry Technology Research System(No.CARS-47)。
文摘The Saccostrea mordax Gould,1850 is a typical intertidal species,whose genetic differentiation is influenced by various factors,including geological and climatic changes.To explore the genetic structure and historical population characteristics of Saccostrea mordax,we sequenced the mitochondrial cytochrome c oxidase subunit I(COI)gene from 58 specimens sampled from four locations in the western Pacific.Additionally,103 individuals from the Persian Gulf and western Pacific(from databases)were included for phylogenetic analysis.The Bayesian Inference tree showed that all specimens were divided into two clades,i.e.,the Persian Gulf population and the western Pacific population.Spatial molecular variance analysis indicated significant genetic differentiation between the two populations,and isolation by distance analysis revealed a positive correlation between genetic differentiation and geographic distance.Neutrality tests and Bayesian Skyline Plot suggested that both populations underwent expansions during the late Pleistocene.This study revealed the population history of Saccostrea mordax and described a new lineage,Saccostrea mordax lineage D,providing a foundation for understanding oyster biodiversity formation and genetic resource conservation.
文摘在基于移动边缘计算(mobile edge computing,MEC)的第5代移动通信网络(5th generation mobile communication network,5G)中,针对无线虚拟现实(virtual reality,VR)用户在小小区间频繁切换而降低业务体验质量(quality of experience,QoE)的问题。考虑建立多视角3维(3-dimensional,3D)视频的主动缓存、计算和通信(caching,computing and communication,3C)资源分配数学模型,并采用深度强化学习(deep reinforcement learning,DRL)算法进行求解。将多视角3D视频的主动资源分配系统建模为联合视角选择和小基站3C资源分配的马尔科夫决策过程(Markov decision process,MDP),提出了一种基于深度确定性策略梯度(deep deterministic policy gradient,DDPG)算法来寻找有效解。仿真结果表明,与另外2种算法相比,所提算法可以为无线VR用户在小小区间移动时提供更好的业务体验。
