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| 1 | A Resource for Inactivation of MicroRNAs Using Short Tandem Target Mimic Technology in Model and Crop Plants显示文摘microRNAs (miRNAs)are endogenous small non-coding RNAs that bind to mRNAs and target them for cleavage and/or translational repression,leading to gene silencing.We previously developed short tandem target mimic (STTM)technology to deactivate endogenous miRNAs in Arabidopsis.Here,we created hundreds of STTMs that target both conserved and species-specific miRNAs in Arabidopsis,tomato,rice,and maize,providing a resource for the functional interrogation of miRNAs.We not only revealed the functions of several miRNAs in plant development,but also demonstrated that tissue-specific inactivation of a few miRNAs in rice leads to an increase in grain size without adversely affecting overall plant growth and development.RNA-seq and small RNAseq analyses of STTM156/157 and STTM165/166 transgenic plants revealed the roles of these miRNAs in plant hormone biosynthesis and activation,secondary metabolism,and ion-channel activity-associated electrophysiology,demonstrating that STTM technology is an effective approach for studying miRNA functions.To facilitate the study and application of STTM transgenic plants and to provide a useful platform for storing and sharing of information about miRNA-regulated gene networks,we have established an online Genome Browser (http://gffzzc750bc0108fa4044sp9ubv0xqqp0o60uk.ffgz.tsg.suse.edu.cn/designindex2.php) to display the transcriptomic and miRNAomic changes in STTMinduced miRNA knockdown plants. | Ting Peng Mengmeng Qiao Haiping Liu Sachin Teotia Zhanhui Zhang Yafan Zhao Bobo Wang Dongjie Zhao Lina Shi Cui Zhang Brandon Le Kestrel Rogers Chathura Gunasekara Haitang Duan Yiyou Gu Lei Tian Jinfu Nie Jian Qi Fanrong Meng Lan Huang Qinghui Chen Zhenlin Wang Jinshan Tang Xiaoqing Tang Ting Lan Xuemei Chen Hairong Wei Quanzhi Zhao Guiliang Tang | 2018 | Molecular Plant2018，11，11： | 7 |
| 2 | Fine particulate matter(PM_(2.5)/PM_(1.0)) in Beijing,China: Variations and chemical compositions as well as sources显示文摘Particulate matter(i.e.,PM_(1.0) and PM_(2.5)),considered as the key atmospheric pollutants,exerts negative effects on visibility,global climate,and human health by associated chemical compositions.However,our understanding of PM and its chemical compositions in Beijing under the current atmospheric environment is still not complete after witnessing marked alleviation during 2013–2017.Continuous measurements can be crucial for further air quality improvement by better characterizing PM pollution and chemical compositions in Beijing.Here,we conducted simultaneous measurements on PM in Beijing during 2018–2019.Results indicate that annualmean PM_(1.0) and PM_(2.5) concentrations were 35.49±18.61μg/m^(3) and 66.58±60.17μg/m^(3),showing a positive response to emission controls.The contribution of sulfate,nitrate,and ammonium(SNA)played an enhanced role with elevated PM loading and acted as the main contributors to pollution episodes.Discrepancies observed among chemical species between PM_(1.0) and PM_(2.5) in spring suggest that sand particles trend to accumulate in the range of 1–2.5μm.Pollution episodes occurred accompanied with southerly clusters and high formation of SNA by heterogeneous reactions in summer and winter,respectively.Results from positive matrix factorization(PMF)combined with potential source contribution function(PSCF)models showed that potential areas were seasonal dependent,secondary and vehicular sources became much more important compared with previous studies in Beijing.Our study presented a continuous investigation on PM and sources origins in Beijing,which provides a better understanding for further emission control as well as a reference for other cities in developing countries. | Lining Luo Xiaoxuan Bai Shuhan Liu Bobo Wu Wei Liu Yunqian Lv Zhihui Guo Shumin Lin Shuang Zhao Yan Hao Jiming Hao Kai Zhang Aihua Zheng Hezhong Tian | 2022 | Journal of Environmental Sciences2022，34，11： | 3 |
| 3 | Preparation of La0.67Ca0.23Sr0.1MnO3 thin films with interesting electrical and magnetic properties via pulsed-laser deposition显示文摘Manganese oxides with a perovskite-type Re_(1-x)D_xMnO_3(Re:heavy rare-earth elements,D:divalent alkali metal)structure have attracted interest because of the complex interaction between their electrons,lattices,and spins[1-5].Generally,manganese oxides with the structure Re_(1-x)D_xMnO_3 have special properties.For example,the half-metallic manganites,such as La_(2/3)Sr_(1/3)MnO_3 and La_(2/3)Ca_(1/3)MnO_3,wherein the conduction electrons are completely spin polarized。 | Shuai Xue XiaoLin Zhao JianLu Wang BoBo Tian Hai Huang CaiMin Meng Lan Liu Lei Ye JingLan Sun XiangJian Meng XiaoDong Zhang JunHao Chu | 2017 | Science China(Physics,Mechanics & Astronomy)2017，60，2： | 2 |
| 4 | Vehicle emissions of primary air pollutants from 2009 to 2019 and projection for the 14th Five-Year Plan period in Beijing, China显示文摘Over the past decade,the emission standards and fuel standards in Beijing have been upgraded twice,and the vehicle structure has been improved by accelerating the elimination of 2.95 million old vehicles.Through the formulation and implementation of these policies,the emissions of carbon monoxide(CO),volatile organic compounds(VOCs),nitrogen oxides(NO_(x)),and fine particulate matter(PM_(2.5))in 2019 were 147.9,25.3,43.4,and 0.91 kton in Beijing,respectively.The emission factor method was adopted to better understand the emissions characteristics of primary air pollutants from combustion engine vehicles and to improve pollution control.In combination with the air quality improvement goals and the status of social and economic development during the 14th Five-Year Plan period in Beijing,different vehicle pollution control scenarios were established,and emissions reductions were projected.The results show that the emissions of four air pollutants(CO,VOCs,NO_(x),and PM_(2.5))fromvehicles in Beijing decreased by an average of 68% in 2019,compared to their levels in 2009.The contribution of NOx emissions from diesel vehicles increased from 35% in 2009 to 56% in 2019,which indicated that clean and energy-saving diesel vehicle fleets should be further improved.Electric vehicle adoption could be an important measure to reduce pollutant emissions.With the further upgrading of vehicle structure and the adoption of electric vehicles,it is expected that the total emissions of the four vehicle pollutants can be reduced by 20%-41% by the end of the 14th Five-Year Plan period. | Tongran Wu Yangyang Cui Aiping Lian Ye Tian Renfei Li Xinyu Liu Jing Yan Yifeng Xue Huan Liu Bobo Wu | 2023 | Journal of Environmental Sciences2023，，2： | 1 |
| 5 | Extraordinary high-temperature mechanical properties in binder-free nanopolycrystalline WC ceramic显示文摘From the perspective of high-temperature applications,materials with excellent high-temperature mechanical properties are always desirable.The present work demonstrates that the binder-free nanopolycrystalline WC ceramic with an average grain size of 103 nm obtained by high-pressure and hightemperature sintering exhibits excellent mechanical properties at both room temperature and high temperature up to 1000℃.Specifically,the binder-free nanopolycrystalline WC ceramic still maintains a considerably high Vicker hardness H_(V)of 23.4 GPa at 1000℃,which is only 22%lower than the room temperature H_(V).This outstanding thermo-mechanical stability is superior to that of typical technical ceramics,e.g.SiC,Si_(3)N_(4),Al_(2)O_(3),etc.Nanocrystalline grains with many dislocations,numerous low-energy,highly stableΣ2 grain boundaries,and a relatively low thermal expansion coefficient,are responsible for the observed outstanding high-temperature mechanical properties. | Hongfeng Dong Baozhong Li BoBo Liu Yang Zhang Lei Sun Kun Luo Yingju Wu Mengdong Ma Bing Liu Wentao Hu Julong He Dongli Yu Bo Xu Zhisheng Zhao Yongjun Tian | 2022 | Journal of Materials Science & Technology2022，，2： | 1 |
| 6 | Retinomorphic hardware for in-sensor computing显示文摘Rapid developments in the Internet of Things and Artificial Intelligence trigger higher requirements for image perception and learning of external environments through visual systems.However,limited by von Neumann's bottleneck,the physical separation of sense,memory,and processing units in a conventional personal computer-based vision system tend to consume a significant amount of energy,time latency,and additional hardware costs.By integrating computational tasks of multiple functionalities into the sensors themselves,the emerging bio-inspired neuromorphic visual systems provide an opportunity to overcome these limitations.With high speed,ultralow power and strong adaptability,it is highly desirable to develop a neuromorphic vision system that is based on highly precise in-sensor computing devices,namely retinomorphic devices.We here present a timely review of retinomorphic devices for visual in-sensor computing.We begin with several types of physical mechanisms of photoelectric sensors that can be constructed for artificial vision.The potential applications of retinomorphic hardware are,thereafter,thoroughly summarized.We also highlight the possible strategies to existing challenges and give a brief perspective of retinomorphic architecture for in-sensor computing. | Guangdi Feng Xiaoxu Zhang Bobo Tian Chungang Duan | 2023 | InfoMat2023，5，9： | 1 |
| 7 | Research progress on 2D ferroelectric and ferrovalley materials and their neuromorphic application显示文摘Two-dimensional(2D)ferroelectric and ferrovalley materials have recently received extensive attention due to their significant advantages for modern electronic devices,such as miniaturization,low-dissipation,non-volatility,and multi-functionality.More interestingly,the couplings between the ferroic orders in these materials have enriched the development of intelligent devices,especially in neuromorphic computing.In this paper,the research progress of 2D ferroelectric and ferrovalley materials is introduced and the coupling effects between them are also described.Then,we briefly introduce recent neuromorphic computing reports based on 2D ferroelectric materials and give perspectives on ferrovalley neuromorphic devices. | Yifan Tan Junding Zheng Xuezhong Niu Yifeng Zhao Ni Zhong Bobo Tian Chungang Duan | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，11： | 0 |
| 8 | Molecular ferroelectric/semiconductor interfacial memristors for artificial synapses显示文摘With the burgeoning developments in artificial intelligence,hardware implementation of artificial neural network is also gaining pace.In this pursuit,ferroelectric devices(i.e.,tunneling junctions and transistors)with voltage thresholds were recently proposed as suitable candidates.However,their development is hindered by the inherent integration issues of inorganic ferroelectrics,as well as poor properties of conventional organic ferroelectrics.In contrast to the conventional ferroelectric synapses,here we demonstrated a two-terminal ferroelectric synaptic device using a molecular ferroelectric(MF)/semiconductor interface.The interfacial resistance can be tuned via the polarization-controlled blocking effect of the semiconductor,owing to the high ferroelectricity and field amplification effect of the MF.Typical synaptic features including spike timing-dependent plasticity are substantiated.The introduction of the semiconductor also enables the attributes of optoelectronic synapse and in-sensor computing with high image recognition accuracies.Such interfaces may pave the way for the hardware implementation of multifunctional neuromorphic devices. | Yichen Cai Jialong Zhang Mengge Yan Yizhou Jiang Husnain Jawad Bobo Tian Wenchong Wang Yiqiang Zhan Yajie Qin Shisheng Xiong Chunxiao Cong Zhi-Jun Qiu Chungang Duan Ran Liu Laigui Hu | 2022 | npj Flexible Electronics2022，6，1： | 0 |
| 9 | Associative learning of a three-terminal memristor network for digits recognition显示文摘Imitating the associative intelligence of the biological brain is attractive but is poorly achieved in hardware because the complex tunable connection in neural networks is difficult to reproduce. We develop a circuit composed of a three-terminal memristor network to reproduce the biological conditioning process artificially. The synaptic weight between co-firing neurons is strengthened simultaneously by generating a feedback signal from the integrate-and-fire neuron to the gate of the synaptic memristor. The network allows the multi-associative capacity of recalling more than one digit in one circuit. Both single and multi-associative learning for recalling digital images are achieved. Furthermore, all 10 digital images from “0” to “9” are successfully recalled in an associative network with such paralleling circuits. Assisted by this associative layer, a typical classification network effectively improves the recognition rate for fragmentary digital images.Our work sheds light on brain-inspired artificial associative memory and provides a strategy for applications,such as object recognition with partial features and similar scenes. | Yiming REN Bobo TIAN Mengge YAN Guangdi FENG Bin GAO Fangyu YUE Hui PENG Xiaodong TANG Qiuxiang ZHU Junhao CHU Chungang DUAN | 2023 | Science China(Information Sciences)2023，66，2： | 0 |
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