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Adipose-derived mesenchymal stem cell transplantation promotes adult neurogenesis in the brains of Alzheimer's disease mice 被引量:18
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作者 Yufang Yan tuo ma +3 位作者 Kai Gong Qiang Ao Xiufang Zhang Yao Gong 《Neural Regeneration Research》 SCIE CAS CSCD 2014年第8期798-805,共8页
In the present study, we transplanted adipose-derived mesenchymal stem cells into the hippo-campi of APP/PS1 transgenic Alzheimer's disease model mice. Immunofluorescence staining revealed that the number of newly ge... In the present study, we transplanted adipose-derived mesenchymal stem cells into the hippo-campi of APP/PS1 transgenic Alzheimer's disease model mice. Immunofluorescence staining revealed that the number of newly generated (BrdU+) cells in the subgranular zone of the dentate gyrus in the hippocampus was signiifcantly higher in Alzheimer's disease mice after adipose-de-rived mesenchymal stem cell transplantation, and there was also a significant increase in the number of BrdU+/DCX+neuroblasts in these animals. Adipose-derived mesenchymal stem cell transplantation enhanced neurogenic activity in the subventricular zone as well. Furthermore, adipose-derived mesenchymal stem cell transplantation reduced oxidative stress and alleviated cognitive impairment in the mice. Based on these ifndings, we propose that adipose-derived mes-enchymal stem cell transplantation enhances endogenous neurogenesis in both the subgranular and subventricular zones in APP/PS1 transgenic Alzheimer's disease mice, thereby facilitating functional recovery. 展开更多
关键词 nerve regeneration stem cells Alzheimer's disease adipose-derived mesenchymal stemcells cell transplantation cognitive impairment oxidative stress NEUROGENESIS 863 Program neuralregeneration
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FPGA Optimized Accelerator of DCNN with Fast Data Readout and Multiplier Sharing Strategy
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作者 tuo ma Zhiwei Li +3 位作者 Qingjiang Li Haijun Liu Zhongjin Zhao Yinan Wang 《Computers, Materials & Continua》 SCIE EI 2023年第12期3237-3263,共27页
With the continuous development of deep learning,Deep Convolutional Neural Network(DCNN)has attracted wide attention in the industry due to its high accuracy in image classification.Compared with other DCNN hard-ware ... With the continuous development of deep learning,Deep Convolutional Neural Network(DCNN)has attracted wide attention in the industry due to its high accuracy in image classification.Compared with other DCNN hard-ware deployment platforms,Field Programmable Gate Array(FPGA)has the advantages of being programmable,low power consumption,parallelism,and low cost.However,the enormous amount of calculation of DCNN and the limited logic capacity of FPGA restrict the energy efficiency of the DCNN accelerator.The traditional sequential sliding window method can improve the throughput of the DCNN accelerator by data multiplexing,but this method’s data multiplexing rate is low because it repeatedly reads the data between rows.This paper proposes a fast data readout strategy via the circular sliding window data reading method,it can improve the multiplexing rate of data between rows by optimizing the memory access order of input data.In addition,the multiplication bit width of the DCNN accelerator is much smaller than that of the Digital Signal Processing(DSP)on the FPGA,which means that there will be a waste of resources if a multiplication uses a single DSP.A multiplier sharing strategy is proposed,the multiplier of the accelerator is customized so that a single DSP block can complete multiple groups of 4,6,and 8-bit signed multiplication in parallel.Finally,based on two strategies of appeal,an FPGA optimized accelerator is proposed.The accelerator is customized by Verilog language and deployed on Xilinx VCU118.When the accelerator recognizes the CIRFAR-10 dataset,its energy efficiency is 39.98 GOPS/W,which provides 1.73×speedup energy efficiency over previous DCNN FPGA accelerators.When the accelerator recognizes the IMAGENET dataset,its energy efficiency is 41.12 GOPS/W,which shows 1.28×−3.14×energy efficiency compared with others. 展开更多
关键词 FPGA ACCELERATOR DCNN fast data readout strategy multiplier sharing strategy network quantization energy efficient
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Geochemistry, Sr-Nd-Pb Isotopic Compositions and Zircon U-Pb Geochronology of Neoproterozoic Mafic Dyke in the Douling Complex, South Qinling Belt, China 被引量:2
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作者 Tong Li Liang Liu +3 位作者 Xiao-Ying Liao Yong-Sheng Gai tuo ma Chao Wang 《Journal of Earth Science》 SCIE CAS CSCD 2020年第2期237-248,共12页
Mafic dyke swarm is widely developed in Proterozoic continental lithosphere.The Gangou diabase dyke from the Xixia area,intruded into the Douling complex of the South Qinling belt,yields zircon UPb age of 731 Ma.It ha... Mafic dyke swarm is widely developed in Proterozoic continental lithosphere.The Gangou diabase dyke from the Xixia area,intruded into the Douling complex of the South Qinling belt,yields zircon UPb age of 731 Ma.It has low SiO2 content(49.02 wt.%-49.37 wt.%)and Mg^#(34.0–37.7)and shows characteristics of subalkaline tholeiite series.They show highΣREE(155.5×10^-6–184.7×10^-6),weak negative Eu anomaly(δEu=0.88-0.93),slight depletion of Nb and Ta,and enrichment of LILE.Their major and trace element,Sr-Nd-Pb isotope and clinopyroxene compositions indicate that it originated from the partial melting of the asthenospheric mantle within-plate extension setting and was slightly contaminated by crust compositions.The similarities of formation age,petrogenesis,source characteristic and tectonic setting for Gangou diabase with mafic dykes in Wudang Block and mafic volcanic rocks in Yaolinghe Group indicate that the South Qinling belt underwent strong continental extension in Neoproterozoic during 796–685 Ma most likely correspondence to the breaking-up of the Rodinia supercontinent. 展开更多
关键词 Douling COMPLEX DIABASE DYKE LA-ICP-MS zircon U-Pb dating SR-ND-PB isotope RODINIA SUPERCONTINENT break-up
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Metamorphic Evolution of Garnet Amphibolite from the Yaganbuyang Area in the South Altyn Orogen,West China:Insights from Phase Equilibria Modeling and Geochronology
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作者 Xin Li Liang Liu +4 位作者 Xiaoying Liao Yongsheng Gai tuo ma Guojian Geng Tong Li 《Journal of Earth Science》 SCIE CAS CSCD 2023年第3期640-657,共18页
Garnet amphibolite is one of the common metabasic rocks exposed in collisional orogenic belt,the metamorphic evolution of which is associated closely with orogenic processes.The Yaganbuyang garnet amphibolites occur a... Garnet amphibolite is one of the common metabasic rocks exposed in collisional orogenic belt,the metamorphic evolution of which is associated closely with orogenic processes.The Yaganbuyang garnet amphibolites occur as blocks hosted by massive granitic gneiss,and consist mainly of hornblende,garnet,clinopyroxene,plagioclase,biotite,quartz with minor rutile/ilmenite and phengitic muscovite.These garnet amphibolites were interpreted to have experienced decompression-dominated evolution that can be divided into three generations(M1,M2,M3),based on the petrographic observations and phase equilibria modeling calculated by THERMOCALC.The assemblage of the first generation(M1)is inferred to possibly be dominated by garnet+omphacite+rutile+phengite+quartz,which is modeled to be roughly stable at P>25 kbar and T>800℃.The second generation(M2)is characterized by the local symplectites of clinopyroxene+plagioclase produced from omphacite,indicating a near-isothermal decompression from~23.8 kbar/875℃to~10 kbar/852℃.The third generation(M3)is marked by the kelyphitic rims of plagioclase+hornblende around garnet and of hornblende+ilmenite around clinopyroxene,involving the late-stage retrogression from~9.8 kbar/848℃to~5.8 kbar/645℃.Zircon U-Pb dating yielded one group metamorphic age of c.500 Ma that is interpreted to represent the timing of the peak eclogite-facies metamorphism.A combination of petrography observation,phase modeling results and geochronology data suggests that the Yaganbuyang garnet amphibolites have once undergone eclogite-facies metamorphism by continental subduction rather than crustal thickening.Therefore,the Yaganbuyang area is an eastward extension part of the South Altyn HP-UHP metamorphic belt. 展开更多
关键词 South Altyn Orogen garnet amphibolite phase equilibria modeling ZIRCON U-Pb dating GEOCHRONOLOGY
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