AIM: To determine the influence of Adriamycin (ADM) on the changes in Nanog, Oct4, Sox2, as well as, in ARID1 and Wnt5b expression in liver cancer stem cells.
When training a large-scale knowledge graph embedding(KGE)model with multiple graphics processing units(GPUs),the partition-based method is necessary for parallel training.However,existing partition-based training met...When training a large-scale knowledge graph embedding(KGE)model with multiple graphics processing units(GPUs),the partition-based method is necessary for parallel training.However,existing partition-based training methods suffer from low GPU utilization and high input/output(IO)overhead between the memory and disk.For a high IO overhead between the disk and memory problem,we optimized the twice partitioning with fine-grained GPU scheduling to reduce the IO overhead between the CPU memory and disk.For low GPU utilization caused by the GPU load imbalance problem,we proposed balanced partitioning and dynamic scheduling methods to accelerate the training speed in different cases.With the above methods,we proposed fine-grained partitioning KGE,an efficient KGE training framework with multiple GPUs.We conducted experiments on some benchmarks of the knowledge graph,and the results show that our method achieves speedup compared to existing framework on the training of KGE.展开更多
Human beings perceive the world through the senses of sight,hearing,smell,taste,touch,space,and balance.The first five senses are prerequisites for people to live.The sensing organs upload information to the nervous s...Human beings perceive the world through the senses of sight,hearing,smell,taste,touch,space,and balance.The first five senses are prerequisites for people to live.The sensing organs upload information to the nervous systems,including the brain,for interpreting the surrounding environment.Then,the brain sends commands to muscles reflexively to react to stimuli,including light,gas,chemicals,sound,and pressure.MXene,as an emerging two-dimensional material,has been intensively adopted in the applications of various sensors and actuators.In this review,we update the sensors to mimic five primary senses and actuators for stimulating muscles,which employ MXene-based film,membrane,and composite with other functional materials.First,a brief introduction is delivered for the structure,properties,and synthesis methods of MXenes.Then,we feed the readers the recent reports on the MXene-derived image sensors as artificial retinas,gas sensors,chemical biosensors,acoustic devices,and tactile sensors for electronic skin.Besides,the actuators of MXene-based composite are introduced.Eventually,future opportunities are given to MXene research based on the requirements of artificial intelligence and humanoid robot,which may induce prospects in accompanying healthcare and biomedical engineering applications.展开更多
基金Supported by National Natural Science Foundation,No.81372317
文摘AIM: To determine the influence of Adriamycin (ADM) on the changes in Nanog, Oct4, Sox2, as well as, in ARID1 and Wnt5b expression in liver cancer stem cells.
文摘When training a large-scale knowledge graph embedding(KGE)model with multiple graphics processing units(GPUs),the partition-based method is necessary for parallel training.However,existing partition-based training methods suffer from low GPU utilization and high input/output(IO)overhead between the memory and disk.For a high IO overhead between the disk and memory problem,we optimized the twice partitioning with fine-grained GPU scheduling to reduce the IO overhead between the CPU memory and disk.For low GPU utilization caused by the GPU load imbalance problem,we proposed balanced partitioning and dynamic scheduling methods to accelerate the training speed in different cases.With the above methods,we proposed fine-grained partitioning KGE,an efficient KGE training framework with multiple GPUs.We conducted experiments on some benchmarks of the knowledge graph,and the results show that our method achieves speedup compared to existing framework on the training of KGE.
基金the National Natural Science Foundation of China(No.51802116)the Natural Science Foundation of Shandong Province for the Natural Science Fund for Excellent Young Scholars of Shandong Province(No.ZR202112010179)+9 种基金the Doctoral Fund(No.ZR2019BEM040)H.L.acknowledges the“20 Items of University”Project of Jinan(No.2018GXRC031)W.Z.thanks the Major Scientific and Technological Innovation Project of Shandong Province(No.2021CXGC010603)the National Natural Science Foundation of China(No.52022037)Taishan Scholars Project Special Funds(No.TSQN201812083)supported by the Foundation(No.GZKF202107)of State Key Laboratory of Biobased Material and Green Papermaking,Qilu University of Technology,Shandong Academy of Sciencesthe National Natural Science Foundation of China(No.22003074)the National Natural Science Foundation of China(No.52071225)the National Science Center and the Czech Republic under the European Regional Development Fund(ERDF)program“Institute of Environmental Technology-Excellent Research”(No.CZ.02.1.01/0.0/0.0/16_019/0000853)the Sino-German Research Institute for support(No.GZ 1400).
文摘Human beings perceive the world through the senses of sight,hearing,smell,taste,touch,space,and balance.The first five senses are prerequisites for people to live.The sensing organs upload information to the nervous systems,including the brain,for interpreting the surrounding environment.Then,the brain sends commands to muscles reflexively to react to stimuli,including light,gas,chemicals,sound,and pressure.MXene,as an emerging two-dimensional material,has been intensively adopted in the applications of various sensors and actuators.In this review,we update the sensors to mimic five primary senses and actuators for stimulating muscles,which employ MXene-based film,membrane,and composite with other functional materials.First,a brief introduction is delivered for the structure,properties,and synthesis methods of MXenes.Then,we feed the readers the recent reports on the MXene-derived image sensors as artificial retinas,gas sensors,chemical biosensors,acoustic devices,and tactile sensors for electronic skin.Besides,the actuators of MXene-based composite are introduced.Eventually,future opportunities are given to MXene research based on the requirements of artificial intelligence and humanoid robot,which may induce prospects in accompanying healthcare and biomedical engineering applications.
