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Major Miocene geological events in southern Tibet and eastern Asia induced by the subduction of the Ninetyeast Ridge 被引量:4
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作者 Xinlei Sun Wei-dong Sun +8 位作者 Yong-bin Hu Wei Ding Trevor Ireland Mei-zhen Zhan ji-qiang liu Ming-xing Ling Xing Ding Zhao-feng Zhang Wei-ming Fan 《Acta Geochimica》 EI CAS CSCD 2018年第3期395-401,共7页
Cenozoic adakitic rocks in the Gangdese changed from barren continental melts to ore-forming slab melts at * 23 Ma. The distribution and chemical characteristics of the ore-forming adakites point to an association wit... Cenozoic adakitic rocks in the Gangdese changed from barren continental melts to ore-forming slab melts at * 23 Ma. The distribution and chemical characteristics of the ore-forming adakites point to an association with the Ninetyeast Ridge. The subduction of the thick,rigid Ninetyeast Ridge changed the geometry and rheology of the eastern Tibetan Plateau lithosphere and asthenosphere, restrained the eastward escape of asthenospheric mantle as well as continental fragments, and promoted the uplift and building of the Tibetan Plateau, which consequently changed the tectonic and climatic regimes in eastern Asia. 展开更多
关键词 RIDGE SUBDUCTION Eastern Tibetan Plateau CENOZOIC MINERALIZATION Seismic anomaly
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Sedative effects of peanut (Arachis hypogaea L.) leaf aqueous extracts on brain ATP, AMP, Adenosine and Glutamate/GABA of rats 被引量:2
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作者 Xiao-Yan Zu Zhen-Ya Zhang +4 位作者 ji-qiang liu Hong-Hai Hu Guo-Qing Xing Ying Zhang Di Guan 《Journal of Biomedical Science and Engineering》 2010年第3期268-273,共6页
Peanut (Arachis hypogaea L.) leaf aqueous extracts (PLAE) has been reputed to be a type of sleep-aid in China. To investigate the sedative effects and effect pathways of PLAE, rats (n = 31) were employed in two experi... Peanut (Arachis hypogaea L.) leaf aqueous extracts (PLAE) has been reputed to be a type of sleep-aid in China. To investigate the sedative effects and effect pathways of PLAE, rats (n = 31) were employed in two experiments and intragastrically administrated of (1) distilled water, PLAE (500 mg/kg body weight (BW)) and peanut stem aqueous extracts (PSAE, 500 mg/kg BW);(2) 0, 100 or 500 mg/kg BW of PLAE, respectively for at least 14 days. Six relevant neurotransmitters were measured finally. Experiment-1 (n = 16) results showed that the brain Lactate were significantly elevated (p < 0.05) in rat cerebrums after PLAE administrations, compared with Control and PSAE groups. In respect of brain energy system, significant degradations of the brain adenosine triphos- phate (ATP) (p < 0.05) were observed in the brainstems and even the whole brains of rats though PLAE treatments. Moreover, we found that the brain Adenosine monophosphate (AMP) were clearly decreased (p < 0.05) in rat cerebrum and brainstem regions, while the brain Adenosine revealed an increasing propensity (p = 0.076) in the cerebrums of freely behaving rats. After experiment-2 (n = 15), the γ-aminobutyric acid (GABA) concentrations were statistically (p < 0.05) enhanced and the ratios of Glutamate/GABA were simultaneously reduced (p < 0.05) in rat brainstems, no matter which one dose (100 or 500 mg/kg BW) of PLAE were used. Results indicated that PLAE could influence the target neurotransmitters that related to rat circadian rhythms in the specific brain regions, possessing the potentialities as a sedative or sleep-aid for hypnic therapy purposes. 展开更多
关键词 ARACHIS HYPOGAEA L. LEAF Aqueous Extracts SEDATIVE Effects RATS NEUROTRANSMITTERS
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SoySNP618K array:A high-resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding
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作者 Yan-Fei Li Ying-Hui Li +14 位作者 Shan-Shan Su Jochen CReif Zhao-Ming Qi Xiao-Bo Wang Xing Wang Yu Tian De-Lin Li Ru-Jian Sun Zhang-Xiong liu Ze-Jun Xu Guang-Hui Fu Ya-Liang Ji Qing-Shan Chen ji-qiang liu Li-Juan Qiu 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2022年第3期632-648,共17页
Innovations in genomics have enabled the development of low-cost,high-resolution,single nucleotide polymorphism(SNP)genotyping arrays that accelerate breeding progress and support basic research in crop science.Here,w... Innovations in genomics have enabled the development of low-cost,high-resolution,single nucleotide polymorphism(SNP)genotyping arrays that accelerate breeding progress and support basic research in crop science.Here,we developed and validated the Soy SNP618 K array(618,888 SNPs)for the important crop soybean.The SNPs were selected from whole-genome resequencing data containing 2,214 diverse soybean accessions;29.34%of the SNPs mapped to genic regions representing 86.85%of the 56,044annotated high-confidence genes.Identity-by-state analyses of 318 soybeans revealed 17 redundant accessions,highlighting the potential of the Soy SNP618 K array in supporting gene bank management.The patterns of population stratification and genomic regions enriched through domestication were highly consistent with previous findings based on resequencing data,suggesting that the ascertainment bias in the Soy SNP618 K array was largely compensated for.Genome-wide association mapping in combination with reported quantitative trait loci enabled fine-mapping of genes known to influence flowering time,E2 and Gm PRR3 b,and of a new candidate gene,Gm VIP5.Moreover,genomic prediction of flowering and maturity time in 502 recombinant inbred lines was highly accurate(>0.65).Thus,the Soy SNP618 K array is a valuable genomic tool that can be used to address many questions in applied breeding,germplasm management,and basic crop research. 展开更多
关键词 functional single nucleotide polymorphism array gene discovery genomic selection genome-wide association studies marker-assisted selection SOYBEAN
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Robustness Assessment of Asynchronous Advantage Actor-Critic Based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View
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作者 Tong Chen ji-qiang liu +6 位作者 He Li Shuo-Ru Wang Wen-Jia Niu En-Dong Tong Liang Chang Qi Alfred Chen Gang Li 《Journal of Computer Science & Technology》 SCIE EI CSCD 2021年第5期1002-1021,共20页
Reinforcement learning as autonomous learning is greatly driving artificial intelligence(AI)development to practical applications.Having demonstrated the potential to significantly improve synchronously parallel learn... Reinforcement learning as autonomous learning is greatly driving artificial intelligence(AI)development to practical applications.Having demonstrated the potential to significantly improve synchronously parallel learning,the parallel computing based asynchronous advantage actor-critic(A3C)opens a new door for reinforcement learning.Unfortunately,the acceleration's influence on A3C robustness has been largely overlooked.In this paper,we perform the first robustness assessment of A3C based on parallel computing.By perceiving the policy's action,we construct a global matrix of action probability deviation and define two novel measures of skewness and sparseness to form an integral robustness measure.Based on such static assessment,we then develop a dynamic robustness assessing algorithm through situational whole-space state sampling of changing episodes.Extensive experiments with different combinations of agent number and learning rate are implemented on an A3C-based pathfinding application,demonstrating that our proposed robustness assessment can effectively measure the robustness of A3C,which can achieve an accuracy of 83.3%. 展开更多
关键词 robustness assessment SKEWNESS SPARSENESS asynchronous advantage actor-critic reinforcement learning
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