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20篇 您的检索式:作者名="Huang Runsheng"
    题名 作者 年代 出处 被引量
1MIWI and piRNA-mediated cleavage of messenger RNAs in mouse testes显示文摘piRNA 机械在调停以它的角色著名 transposons 的 epigenetic silencing。最近的研究建议这功能也包含导出 transposon 的抄本的指导 piRNA 的劈开。同样多 piRNAs 也看起来有能力指向多样的 mRNAs,这提起 piRNAs 可以与 siRNAs 比广泛地扮演降级的吸引人的可能性特定的 mRNAs。直接测试这个假设,我们比较了联系的老鼠 PIWI (MIWI ) 有从老鼠睾丸的试验性地识别的劈开的 mRNA 碎片的 piRNAs,和主要发生在的观察劈开地点从 5 ′ 放 10;通常认为的指向结束 piRNAs。我们也注意了强壮的偏爱因为分别地,在核苷酸的 U 和 A 残余在 piRNAs 和 mRNA 碎片放 1 和 10,由“乒乓球”类似于 piRNA 扩大的模式的特征骑车。通过由介绍的 CLIP-seq 和基因表示 MIWI-RNA 相互作用印射,我们发现许多潜在的指向 piRNA 的 mRNAs 直接与 MIWI 交往,表演在 Miwi 的睾丸提高了表达式层次催化变异的鼠标。基于记者的试金进一步揭示了在调停 piRNA 的目标压抑的为 slicer 活动和 MIWI 的装载 piRNA 能力的在 piRNAs 和 mRNA 目标和要求之间的基础配对的重要性。重要地,我们证明某些关键 piRNA 目标的那合适的周转为精子形成是必要的。一起,这些调查结果为男细菌房间开发和成熟在鼠标睾丸和它的中央要求揭示 piRNA 机械的象 siRNA 一样函数。Peng Zhang Jun-Yan Kang Lan-Tao GOU Jiajia Wang Yuanchao Xue Geir Skogerboe Peng Dai Da-Wei Huang Runsheng Chen Xiang-Dong Fu Mo-Fang Liu Shunmin He 2015Cell Research2015,25,2:35
2Challenges of 22 nm and beyond CMOS technology显示文摘It is predicted that CMOS technology will probably enter into 22 nm node around 2012. Scaling of CMOS logic technology from 32 to 22 nm node meets more critical issues and needs some significant changes of the technology, as well as integration of the advanced processes. This paper will review the key processing technologies which can be potentially integrated into 22 nm and beyond technology nodes, including double patterning technology with high NA water immersion lithography and EUV lithography, new device architectures, high K/metal gate (HK/MG) stack and integration technology, mobility enhancement technologies, source/drain engineering and advanced copper interconnect technology with ultra-low-k process.HUANG Ru WU HanMing KANG JinFeng XIAO DeYuan SHI XueLong AN Xia TIAN Yu WANG RunSheng ZHANG LiangLiang ZHANG Xing WANG YangYuan 2009Science in China(Series F)2009,52,9:8
3A draft sequence of the rice (Oryza sativa ssp. indica) genome显示文摘The sequence of the rice genome holds fundamental information for its biology, including physiology, genetics, development, and evolution, as well as information on many beneficial phenotypes of economic significance. Using a 'whole genome shotgun' approach, we have pro-duced a draft rice genome sequence of Oryza sativa ssp. in-dica, the major crop rice subspecies in China and many other regions of Asia. The draft genome sequence is constructed from over 4.3 million successful sequencing traces with an accumulative total length of 2214.9 Mb. The initial assembly of the non-redundant sequences reached 409.76 Mb in length, based on 3.30 million successful sequencing traces with a total length of 1797.4 Mb from an indica variant cultivar 93-11, giving an estimated coverage of 95.29% of the rice genome with an average base accuracy of higher than 99%. The coverage of the draft sequence, the randomness of the sequence distribution, and the consistency of BIG-ASSEM-BLER, a custom-designed software packageYU Jun, HU Songnian, WANG Jun,LI Songgang WONG Ka-Shu Gane, LIU Bin,DENG Yajun, DAI Li, ZHOU Yan,ZHANG Xiuqing, CAO Mengliang, LIU Jing,SUN Jiandong , TANG Jiabin, CHEN Yanjiong,HUANG Xiaobing, LIN Wei, YE Chen, TONG Wei,CONG Lijuan, GENG Jianing, HAN Yujun, LI Lin,LI Wei, HU Guangqiang, HUANG Xiangang,LI Wenjie, LI Jian, LIU Zhanwei, LI Long,LIU Jianping, Ql Qiuhui, LIU Jinsong, LI Li,WANG Xuegang, LU Hong, WU Tingling,ZHU Miao, Nl Peixiang, HAN Hua, DONG Wei,REN Xiaoyu, FENG Xiaoli, GUI Peng,LI Xianran, WANG Hao, XU Xin, ZHAI Wenxue,XU Zhao, ZHANG Jinsong, HE Sijie,ZHANG Jianguo, XU Jichen, ZHANG Kunlin,ZHENG Xianwu, DONG Jianhai, ZENG Wanyong,TAO Lin, CHEN Xuewei, HE Jun, LIU Daofeng,TIAN Wei, TIAN Chaoguang, XIA Hongai,LI Gang, GAO Hui, LI Ping, CHEN Wei ,WANG Xudong, ZHANG Yong, HU Jianfei,WANG Jing, LIU Song, YANG Jian,ZHANG Guangyu, XIONG Yuqing, LI Zhijie,MAO Long, ZHOU Chengshu, ZHU Zhen,CHEN Runsheng, HAO Bailin,ZHENG Weimou, CHEN Shouyi, QUO Wei,LI Guojie, LIU Siqi, HUANG Guyang,TAO Ming, WANG Jian, ZHU Lihuang,YUAN Longping& YANG HuanmingBeijing Genomics Institute/Center of Genomics & Bioinformatics, Chinese Academy of Sciences, Beijing 101300, China Hangzhou Genomics Institute/Institute of Bioinformatics of Zhejiang University/Key Laboratory of Bioinformatics of Zhejiang Province, Hangzhou 310007, China Institute of Genetics, Chinese Academy of Sciences, Beijing 100101, China National Hybrid Rice R & D Center, Changsha 410125, China Laboratory of Bioinformatics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China College of Life Sciences, Peking University, Beijing 100871, China Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 1Q0080, China Digital China Ltd., Beijing 100080, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China Medical College, Xi’an Jiaotong University, Xi’an 710061, ChinaThese authors contributed equally to this work.Corresponding author.Corresponden 2001Chinese Science Bulletin2001,46,23:6
4Editor’s note显示文摘In recent years, driven by ever-increasing market demand in computing, communication, and multimedia applications, the microelectronics industry has undergone rapid development. Because of technical innovation and advances in almost all aspects of materials, processes, equipment, devices, circuits and systems, siliconbased logic and memory IC technologies using nano-scaling continue to be the industry's major R&D focus. This maintains microelectronics industry adherence to the traditional 'Moore's Law', increasing theHUANG Ru, Guest Editor Peking University Beijing 100871, China ZHAO Bin, Guest Editor Fairchild Semiconductor 32 Discovery, Irvine, CA 92618, USA WANG RunSheng, Guest Editor Assistant CAI YiMao, Guest Editor Assistant Peking University Beijing 100871, China 2011Science China(Information Sciences)2011,54,5:3
5Identification of selenocyst-eine insertion sequence(SECIS) element in eukaryotic selenoproteins by RNA Draw program显示文摘The computer program RNA Draw was used to identify the secondary structures in the 3’untranslated regions (3’UTRs) of the mRNAs from 46 eukaryotic seleno-proteins among 7 species. The program found one or two possible SECIS elements in these selenoproteins. The SECIS element consists of a stem-loop or hairpin structure with three conserved sequences of AUGA-(A)AA-GA. SECIS element was not found by the RNA Draw program in randomly selected non-selenoproteins. The results showed that SECIS element is the unique character of the genes ofeukaryotic selenoproteins. Thus it is possible to use RNA Draw to search the SECIS elements in gene bank for potential new selenoproteins.XU Huibi HUANG Kaixun QU Xianghu GAO Zhonghong LIU Qiong CHEN Runsheng XUAN Zhenyu 2001Chinese Science Bulletin2001,46,14:2
6Light-induced protein translocation by genetically encoded unnatural amino acid in Caenorhabditis elegans显示文摘Dear Editor,Living systems such as Caenorhabditis elegans are organized by interaction networks of biopolymer and small mol-ecules.The molecular engineering of specifi c targets to monitor and control these biological molecules has led to significant advances in our understand-ing of how biological systems are organ-ized,maintain themselves and disin-tegrate(Prescher and Bertozzi,2005).For instance,green fl uorescent protein(GFP)derived from jellyfi sh Aequorea Victoria helps us to accurately locate and observe proteins over long term periods.In addition,many novel LOV(light,oxy-gen,or voltage)domains such as LOV2-Jαand Vivid offer the possibility of cell-based motility management and tissue-based gene expression control(Wu et al.,2009;Wang et al.,2012).Hao Chang Mei Han Wenming Huang Guifeng Wei Juanjuan Chen Peng R.Chen Runsheng Chen Junlong Zhang Tao Xu Pingyong Xu 2013Protein & Cell2013,4,12:2
7CircuitNet:an open-source dataset for machine learning applications in electronic design automation(EDA)显示文摘The electronic design automation(EDA)community has been actively exploring machine learning(ML)for very large-scale integrated computer-aided design(VLSI CAD).Many studies explored learning-based techniques for cross-stage prediction tasks in the design flow to achieve faster design convergence.Although building ML models usually requires a large amount of data.Zhuomin CHAI Yuxiang ZHAO Yibo LIN Wei LIU Runsheng WANG Ru HUANG 2022Science China(Information Sciences)2022,65,12:2
8Geochemical Characteristics of the Tayuan Volcanic Rocks in the Daxinganling Metallogenic Belt显示文摘1 Introduction Daxinganling region is one of the most important nonferrous metal metallogenetic province(Wu et al.,2011;Li et al.,2014).The northern Daxinganling was a geological blank area in China formerly(Li et al.,2017).However,the region has a huge resource potential.Forty metal deposits have been found in the area recently。LI Chao Ren Tao HUANG Jianguo HAN Runsheng ZHOU Hongyang FENG Zhihong 2017Acta Geologica Sinica(English Edition)2017,91,S1:1
9Editor's note显示文摘The dynamic range of the currently most widely used 24-bit seismic data acquisition devices is 10–20 d B lower than that of broadband seismometers, and this can affect the completeness of seismic waveform recordings under certain conditions. However, this problem is not easy to solve because of the lack of analog to digital converter(ADC) chips with more than 24 bits in the market. In this paper, we propose a method in which an adder, an integrator, a digital to analog converter chip, a field-programmable gate array, and an existing low-resolution ADC chip are used to build a third-order 16-bit oversampling delta-sigma modulator. This modulator is equipped with a digital decimation filter, thus facilitating higher resolution and larger dynamic range seismic data acquisition. Experimental results show that, within the 0.1–40 Hz frequency range, the circuit board's dynamic range reaches 158.2 d B, its resolution reaches 25.99 bits, and its linearity error is below 2.5 ppm, which is better than what is achieved by the commercial 24-bit ADC chips ADS1281 and CS5371. This demonstrates that the proposed method may alleviate or even completely resolve the amplitude-limitation problem that so commonly occurs with broadband observation instruments during strong earthquakes.Ru HUANG Hiroshi IWAI Cor CLAEYS Simon DELEONIBUS Runsheng WANG 2016Science China(Information Sciences)2016,59,6:1
10Andesite geochemistry features of late triassic tumugou formation, in Zhongdian, Yunnan Province 显示文摘Huang Jianguo Han Runsheng Tao Ren 2012Advanced Materials Research2012,,:1
11Geological features and origin of the Huize carbonate-hosted Zn Pb-(Ag) District, Yunnan, South China显示文摘Runsheng Han Congqiang Liu Zhilong Huang 2007Ore geology reviews2007,31,:1
12Source of ore-forming materials in Laowangzhai gold deposit, Yunnan. Evidence from lead isotopic composition显示文摘THE Laowangzhai superlarge gold deposit was found in 1984. Although studies on regional structure, geology of deposits and lamprophyres, which are temporally and spatially related to gold mineralization,have been carried out, the views on the source of ore-forming materials have been different. Thisnote summarized the characteristics of lead isotopic composition of the deposits, and probed further intothe source of ore-forming materials. 1 Geological setting The Laowangzhai gold deposit, located in the north of the Ailaoshan fault zone, consists of Donggualin and Laowangzhai ore block. The strata in the orefield include Paleozoic (Pz3) epimetamorphic ma-LI Yuan~1, XIAO Huayun~2, HUANG Zhilong~2, HAN Runsheng~1 and LIU Congqiang~2 1. Kunming University of Science and Technology, Kunming 650093, China 2. Institute of Geochemistry, Chinses Academy of Sciences, Guiyang 550002, China 1999Chinese Science Bulletin1999,44,S2:1
13A Scalable Memory Management Service Based on Microkernel OS in Multicore Environment显示文摘The trends of exponential growing core counts incur new requirements on operating systems. The contemporary monolithic OSs protect shared kernel data by locking in multicore environment. However, the lock contention of OS functions may lead to overall performance degradation. This paper adopts microkernel architecture for scalability concerns, since it has flexibilities for the management of computing resources and explicit data layout to avoid locking. We present a scalable Memory management service(MMS) based on microkernel OS. The physical memory is distributed into servers to remove the lock contention over page pools. Then we discuss the new problems, including load balance and 'distributed memory fragmentation'. MMS is divided into one master and multiple slaves. The master is a coordinator for adjusting loads and routing requests with a global memory view,while the slaves are responsible for the management of distributed page zones and virtual memory areas. The experimental results show that MMS achieves better scalability than Linux on a 32-core machine.CHENG Zhonghan XU Xin HUANG Hao ZHU Runsheng 2015Chinese Journal of Electronics2015,24,2:1
14Impacts of short-channel effects on the random threshold voltage variation in nanoscale transistors显示文摘In this paper,the impacts of device short-channel effects(SCEs) on the random threshold voltage(V TH) variation in nanoscale bulk MOSFETs are investigated.Firstly,the direct relationship between SCEs and random variations are examined.By adopting the electrostatic integrity(EI) as the index for SCEs,clear correlations of device SCEs with random V TH variations are observed,which indicate that the random variations can be reduced by simply improving the SCEs in MOS devices with the same channel doping.In addition,the random dopant fluctuation(RDF) induced σ Vth has a linear relationship with EI and channel doping.Then,considering the contribution of SCEs on RDF modeling,a new normalization method of X VT plot is proposed,which provides a physical way to analyze random V TH variation in nanoscale MOSFETs with different process/device parameters(i.e.,with different electrostatic designs).WANG RunSheng YU Tao HUANG Ru WANG YangYuan 2013Science China(Information Sciences)2013,56,6:1
15Body Bias Dependence of Bias Temperature Instability(BTI)in Bulk FinFET Technology显示文摘In this article,the body bias dependence of the bias temperature instability(BTI)in bulk FinFETs is experimentally studied,under different test conditions for the first time.In contrast to the traditional understanding that changing body bias has little impact on BTI degradation in FinFETs due to its weak body effect,it is observed that it actually has non-negligible impacts.And a forward body bias(FBB)can reduce the BTI degradation in FinFETs,which is opposite with the trend in planar devices.The underlying physics is found due to the trade-off between two competing factors.The results are helpful for understanding and modeling reliability in FinFETs.Jiayang Zhang Zirui Wang Runsheng Wang Zixuan Sun Ru Huang 2022Energy & Environmental Materials2022,5,4:0
16Tungsten-182 Mssbauer experiments at liquid nitrogen temperature显示文摘A good 182Ta Mossbauer source and an apparatus designed specially were made. 182W transmission Mossbauer experiments were successfully carried out, both of the source and absorber at liquid nitrogen temperature. It was found that reducing background radiation is very important to observe clear resonant effect.HUANG Runsheng, LIU Bing, ZHANG Jinrong, LIU Cong & GAO Xuekui1. Physics Department of Nanjing University, Nanjing 210093, China 2. China Institute of Atomic Energy, Beijing 102413, China 2001Chinese Science Bulletin2001,46,9:0
17A review of compact modeling for phase change memory显示文摘Phase change memory(PCM)attracts wide attention for the memory-centric computing and neuromorphic comput-ing.For circuit and system designs,PCM compact models are mandatory and their status are reviewed in this work.Macro mod-els and physics-based models have been proposed in different stages of the PCM technology developments.Compact model-ing of PCM is indeed more complex than the transistor modeling due to their multi-physics nature including electrical,thermal and phase transition dynamics as well as their interactions.Realizations of the PCM operations including threshold switching,set and reset programming in these models are diverse,which also differs from the perspective of circuit simulations.For the purpose of efficient and reliable designs of the PCM technology,open issues and challenges of the compact modeling are also discussed.Feilong Ding Baokang Peng Xi Li Lining Zhang Runsheng Wang Zhitang Song Ru Huang 2022Journal of Semiconductors2022,43,2:0
18Geochemical Characteristics and Significance of Basalt in the Hongshiyan Pb-Zn-Cu Polymetallic Deposit in Southeastern Yunnan Province显示文摘1 Introduction Southeast Yunnan is the convergent place of the Yangtze,Indochina blocks(Xu Wei,et al.2008).The Hongshiyan Pb-Zn-Cu polymetallic deposit is located in Wenshan Prefecture,Yunnan Province.It is a typical large sized VMS-type deposit discovered in recent years.The major ore minerals are sphalerite,galena,chalcopyrite ect.HUANG Jianguo HAN Runsheng WANG Lei LI Zhiqiang 2017Acta Geologica Sinica(English Edition)2017,91,S1:0
19Progress of IBMS Experiment at HIRFL显示文摘Progress of IBMS Experiment at HIRFL¥ChenXiaoxi;ZhangHongbing;HuangRunsheng;NiuMulin;MengQinghua;DuYifeiandXiaYuanfu(Supporte...Chen Xiaoxi Zhang Hongbing Huang Runsheng Niu Mulin Meng Qinghua Du Yifei and Xia Yuanfu 1994IMP & HIRFL Annual Report1994,,0:0
20Post-layout simulation driven analog circuit sizing显示文摘Post-layout simulation provides accurate guidance for analog circuit design,but post-layout performance is hard to be directly optimized at early design stages.Prior work on analog circuit sizing often utilizes pre-layout simulation results as the optimization objective.In this work,we propose a post-layoutsimulation-driven(post-simulation-driven for short)analog circuit sizing framework that directly optimizes the post-layout simulation performance.The framework integrates automated layout generation into the optimization loop of transistor sizing and leverages a coupled Bayesian optimization algorithm to search for the best post-simulation performance.Experimental results demonstrate that our framework can achieve over 20%better post-layout performance in competitive time than manual design and the method that only considers pre-layout optimization.Xiaohan GAO Haoyi ZHANG Siyuan YE Mingjie LIU David ZPAN Linxiao SHEN Runsheng WANG Yibo LIN Ru HUANG 2024Science China(Information Sciences)2024,67,4:0
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