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| 1 | A complete sequence and comparative analysis of a SARS-associated virus(Isolate BJ01)显示文摘The genome sequence of the Severe Acute Respiratory Syndrome (SARS)-associated virus provides essential information for the identification of pathogen(s), exploration of etiology and evolution, interpretation of transmission and pathogenesis, development of diagnostics, prevention by future vaccination, and treatment by developing new drugs. We report the complete genome sequence and comparative analysis of an isolate (BJ01) of the coronavirus that has been recognized as a pathogen for SARS. The genome is 29725 nt in size and has 11 ORFs (Open Reading Frames). It is composed of a stable region encoding an RNA-dependent RNA polymerase (composed of 2 ORFs) and a variable region representing 4 CDSs (coding sequences) for viral structural genes (the S, E, M, N proteins) and 5 PUPs (putative uncharacterized proteins). Its gene order is identical to that of other known coronaviruses. The sequence alignment with all known RNA viruses places this virus as a member in the family of Coronaviridae. Thirty putative substitutions have been identified by comparative analysis of the 5 SARS- associated virus genome sequences in GenBank. Fifteen of them lead to possible amino acid changes (non-synonymous mutations) in the proteins. Three amino acid changes, with predicted alteration of physical and chemical features, have been detected in the S protein that is postulated to beinvolved in the immunoreactions between the virus and its host. Two amino acid changes have been detected in the Mprotein, which could be related to viral envelope formation. Phylogenetic analysis suggests the possibility of non-human origin of the SARS-associated viruses but provides noevidence that they are man-made. Further efforts should focus on identifying the etiology of the SARS-associated virus and ruling out conclusively the existence of otherpossible SARS-related pathogen(s). | QIN E'de ZHU Qingyu YU Man FAN Baochang CHANG Guohui SI Bingyin YANG Bao PENG Wenming JIANG Tao LIU Bohua DENG Yongqiang LIU Hong ZHANG Yu WANG Cui LI Yuquan GAN Yonghua LI Xiaoyu L Fushuang TAN Gang CAO Wuchun, YANG Ruifu Institute of Microbiology and Epidemiology, Chinese Academy of Military Medical Sciences, Beijing 100071, China WANG Jian, LI Wei, XU Zuyuan, LI Yan, WU Qingfa, LIN Wei, CHEN Weijun, TANG Lin, DENG Yajun, HAN Yujun, LI Changfeng, LEI Meng, LI Guoqing, LI Wenjie, L Hong, SHI Jianping, TONG Zongzhong, ZHANG Feng, LI Songgang, LIU Bin, LIU Siqi, DONG Wei, WANG Jun, Gane K-S Wong, YU Jun & YANG Huanming* Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300 National Center for Genome Information, Beijing 101300, China | 2003 | Chinese Science Bulletin2003，48，10： | 121 |
| 2 | Materials discovery and design using machine learning显示文摘The screening of novel materials with good performance and the modelling of quantitative structureactivity relationships(QSARs),among other issues,are hot topics in the field of materials science.Traditional experiments and computational modelling often consume tremendous time and resources and are limited by their experimental conditions and theoretical foundations.Thus,it is imperative to develop a new method of accelerating the discovery and design process for novel materials.Recently,materials discovery and design using machine learning have been receiving increasing attention and have achieved great improvements in both time efficiency and prediction accuracy.In this review,we first outline the typical mode of and basic procedures for applying machine learning in materials science,and we classify and compare the main algorithms.Then,the current research status is reviewed with regard to applications of machine learning in material property prediction,in new materials discovery and for other purposes.Finally,we discuss problems related to machine learning in materials science,propose possible solutions,and forecast potential directions of future research.By directly combining computational studies with experiments,we hope to provide insight into the parameters that affect the properties of materials,thereby enabling more efficient and target-oriented research on materials discovery and design. | Yue Liu Tianlu Zhao Wangwei Ju Siqi Shi | 2017 | Journal of Materiomics2017，3，3： | 61 |
| 3 | Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016显示文摘With rapid economic growth and urbanization, the Yangtze River Delta(YRD) region in China has experienced serious air pollution challenges. In this study, we analyzed the air pollution characteristics and their relationship with emissions and meteorology in the YRD region during 2014–2016. In recent years, the concentrations of all air pollutants, except O3,decreased. Spatially, the PM2.5, PM10, SO2, and CO concentrations were higher in the northern YRD region, and NO2 and O3 were higher in the central YRD region. Based on the number of non-attainment days(i.e., days with air quality index greater than 100), PM2.5 was the largest contributor to air pollution in the YRD region, followed by O3, PM10, and NO2.However, particulate matter pollution has declined gradually, while O3 pollution worsened.Meteorological conditions mainly influenced day-to-day variations in pollutant concentrations. PM2.5 concentration was inversely related to wind speed, while O3 concentration was positively correlated with temperature and negatively correlated with relative humidity.The air quality improvement in recent years was mainly attributed to emission reductions.During 2014–2016, PM2.5, PM10, SO2, NOx, CO, NH3, and volatile organic compound(VOC)emissions in the YRD region were reduced by 26.3%, 29.2%, 32.4%, 8.1%, 15.9%, 4.5%, and0.3%, respectively. Regional transport also contributed to the air pollution. During regional haze periods, pollutants from North China and East China aggravated the pollution in the YRD region. Our findings suggest that emission reduction and regional joint prevention and control helped to improve the air quality in the YRD region. | Tao Ma Fengkui Duan Kebin He Yu Qin Dan Tong Guannan Geng Xuyan Liu Hui Li Shuo Yang Siqi Ye Beiyao Xu Qiang Zhang Yongliang Ma | 2019 | Journal of Environmental Sciences2019，31，9： | 26 |
| 4 | Review on modeling of the anode solid electrolyte interphase (SEI) for lithium-ion batteries显示文摘A passivation layer called the solid electrolyte interphase(SEI)is formed on electrode surfaces from decomposition products of electrolytes.The SEI allows Li+transport and blocks electrons in order to prevent further electrolyte decomposition and ensure continued electrochemical reactions.The formation and growth mechanism of the nanometer thick SEI films are yet to be completely understood owing to their complex structure and lack of reliable in situ experimental techniques.Significant advances in computational methods have made it possible to predictively model the fundamentals of SEI.This review aims to give an overview of state-of-the-art modeling progress in the investigation of SEI films on the anodes,ranging from electronic structure calculations to mesoscale modeling,covering the thermodynamics and kinetics of electrolyte reduction reactions,SEI formation,modification through electrolyte design,correlation of SEI properties with battery performance,and the artificial SEI design.Multiscale simulations have been summarized and compared with each other as well as with experiments.Computational details of the fundamental properties of SEI,such as electron tunneling,Li-ion transport,chemical/mechanical stability of the bulk SEI and electrode/(SEI/)electrolyte interfaces have been discussed.This review shows the potential of computational approaches in the deconvolution of SEI properties and design of artificial SEI.We believe that computational modeling can be integrated with experiments to complement each other and lead to a better understanding of the complex SEI for the development of a highly efficient battery in the future. | Aiping Wang Sanket Kadam Hong Li Siqi Shi Yue Qi | 2018 | npj Computational Materials2018，，1： | 20 |
| 5 | A Brief Overview of ChatGPT:The History,Status Quo and Potential Future Development显示文摘ChatG PT,an artificial intelligence generated content (AIGC) model developed by OpenAI,has attracted worldwide attention for its capability of dealing with challenging language understanding and generation tasks in the form of conversations.This paper briefly provides an overview on the history,status quo and potential future development of ChatGPT,helping to provide an entry point to think about ChatGPT.Specifically,from the limited open-accessed resources,we conclude the core techniques of ChatGPT,mainly including large-scale language models,in-context learning,reinforcement learning from human feedback and the key technical steps for developing ChatGPT.We further analyze the pros and cons of ChatGPT and we rethink the duality of ChatGPT in various fields.Although it has been widely acknowledged that ChatGPT brings plenty of opportunities for various fields,mankind should still treat and use ChatG PT properly to avoid the potential threat,e.g.,academic integrity and safety challenge.Finally,we discuss several open problems as the potential development of ChatGPT. | Tianyu Wu Shizhu He Jingping Liu Siqi Sun Kang Liu Qing-Long Han Yang Tang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，5： | 18 |
| 6 | Predicting the onset temperature(Tg) of GexSe1-x glass transition: a feature selection based two-stage support vector regression method显示文摘Despite the usage of both experimental and topological methods, realizing a rapid and accurate measurement of the onset temperature(Tg ) of GexSe1-xglass transition remains an open challenge. In this paper, a predictive model for the Tg in GexSe1-xglass system is presented by a machine learning method named feature selection based two-stage support vector regression(FSTS-SVR). Firstly, Pearson correlation coefficient(PCC) is used to select features highly correlated with Tg from the candidate features of GexSe1-x glass system. Secondly, in order to simulate the two-stage characteristic of Tg which is caused by structural variation with a turning point at x = 0.33 via the structural analysis, SVR is utilized to build predictive models for two stages separately and then the two achieved models are synthesized using a minimum error based model for Tg prediction. Compared with the topological and other methods based on SVR, the FSTS-SVR gives the highest predictive accuracy with the root mean square error(RMSE) and mean absolute percentage error(MAPE) of 10.64 K and 2.38%, respectively. This method is also expected to be more efficient for the prediction of Tg of other glass systems with the multi-stage characteristic. | Yue Liu Junming Wu Guang Yang Tianlu Zhao Siqi Shi | 2019 | Science Bulletin2019，64，16： | 12 |
| 7 | Rationalizing phonon dispersion for lattice thermal conductivity of solids显示文摘Lattice thermal conductivity(κL) is one of the most fundamental properties of solids. The acoustic–elastic-wave assumption, proposed by Debye(Debye P. Ann Phys 1912; 344: 789–839), has led to linear phonon dispersion being the most common approximation for understanding phonon transport over the past century. Such an assumption does not take into account the effect of a periodic boundary condition on the phonon dispersion, originating from the nature of periodicity on atomic arrangements. Driven by modern demands on the thermal functionality of materials, with κLranging from ultra-low to ultra-high,any deviation from the Debye approximation in real materials becomes more and more significant. This work takes into account the periodic boundary condition, and therefore rationalizes the phonon dispersion to be more realistic. This significantly improves the precision for quickly predicting κLwithout any fitting parameters, as demonstrated in hundreds of materials, and offers a theoretical basis rationalizing κLto be lower than the minimum currently accepted based on the Debye dispersion. This work paves the way for designing solids with expected κLand particularly inspires the advancement of low-κLmaterials for thermal energy applications. | Zhiwei Chen Xinyue Zhang Siqi Lin Lidong Chen Yanzhong Pei | 2018 | National Science Review2018，5，6： | 12 |
| 8 | MiR-630 inhibits invasion and metastasis in esophageal squamous cell carcinoma显示文摘食道的有鳞的房间癌(ESCC ) 在最好攻击的恶意之中并且在中国有高发生。MicroRNAs (miRNAs ) 是调整多重 tumorigenic 过程的小内长的 RNA,包括增长,侵略,转移和预后。用 miRNA 表示 proling 分析,我们发现 miR-630 在配对的正常食道的纸巾与那相比在三件 ESCC 织物样品是显著地下面调整的。微分 miR-630 表示随后用量的即时 PCR 被证实。决定 miR-630 下面规定是否能被看作诊断指示物和不利预示的因素,我们与 ESCC 在病人调查了在 miR-630 和 clinicopathological 特征之间的协会。减少的 miR-630 表示总的来说与穷人被联系,这被发现在这些病人的幸存。另外,我们也由指向蛞蝓探索了 miR-630 的生物功能并且调查了在 miR-630 表示和上皮间充质的转变(EMT ) 之间的关联在 vivo 并且在 vitro 的前进。,宫外的 miR-630 表示能禁止增长,侵略和转移 miR-630 击倒的导致的增长,侵略,转移和 EMT 特点。总的来说,我们的学习在 ESCC 作为一个批评新奇调节的人为 miR-630 支持一个角色。 | Li Jin Jun Yi Yanping Gao Siqi Han Zhenyue He Longbang Chen Haizhu Song | 2016 | Acta Biochimica et Biophysica Sinica2016，48，9： | 11 |
| 9 | Promoting the methanol oxidation catalytic activity by introducing surface nickel on platinum nanoparticles显示文摘高效甲醇氧化反应(粗腐殖质) 催化剂对吸引人的、直接甲醇燃料房间的表演批评。这里,我们使用表面学习 MOR 机制并且给的模型催化剂推进指导到新高效粗腐殖质催化剂的设计的控制 PtNi 合金 nanoparticles。PtNi 合金的提高的粗腐殖质活动主要被归因于提高哦由于表面 Ni 地点的吸附。这建议 MOR 经历 Langmuir-Hinshelwood 机制,由此吸附了公司,与帮助被移开吸附哦。在 PtNi 催化剂以内,磅提供甲醇吸附地点(在哪个甲醇被变换成吸附的公司) 并且 Ni 提供哦吸附地点。为粗腐殖质的优化 Pt-Ni 比率被发现是 1:1。这建议那 bifunctional 有公司的催化剂并且哦吸附地点能导致高度活跃的粗腐殖质催化剂。 | Siqi Lu Huiming Li Jingyao Sun Zhongbin Zhuang | 2018 | Nano Research2018，11，4： | 11 |
| 10 | Preparation of Li-B Alloy and Study of Its Microstructure and Discharge Characteristics显示文摘A Li-B alloy has been prepared using a pretreated amorphous B powder and pure Li ingot as starting materials by continually slow addition of B powder and intensified stirring in the process of melting. The microstructure and the discharge characteristic of the materials have been investigated. Results show that the problem of temperature control in synthesis would be modified by means of continual addition of B powder, the Li7B6 would be more finely distributed in the metal Li by means of intensified Stirring. The discharge characteristic of the Li-B alloy using amorphous B as starting materials is almost the same with that of using crystalline B. | Zhijian LIU, Zhiyou LI, Wei DUAN, Xuanhui QU, Baiyun HUANG and Siqi ZHANG (State Key Laboratory for Powder Metallurgy , Central-South University of Technology, Changsha 410083, China) | 2000 | Journal of Materials Science & Technology2000，16，6： | 9 |
| 11 | Rock fragmentation mechanisms and an experimental study of drilling tools during high-frequency harmonic vibration显示文摘Resonance drilling is a new technology,still at the laboratory stage.It has great potential to improve rock fragmentation efficiency.We analyzed the amplitude-frequency characteristics of steady-state mechanical vibration excited by harmonic vibration in rocks and an apparatus was built to achieve high frequency vibration of rock.The influence of rock drillability,rotary speed,excitation frequency,and other parameters on the rate of penetration(ROP) in resonance drilling was analyzed.The results show that the rock drillability decreased with an increase in excitation frequency.When drilling with a large size drill bit,the ROP increased with excitation frequency.The ROP reached a maximum value at the resonant frequency of the rock.The ROP of the bit increased linearly with rotary speed when no vibration was applied on the rock and increased approximately exponentially when harmonic vibration was applied.In addition,the resonant frequency of the rock was changing during the process of rock fragmentation,so in order to achieve the desired resonance of the rock,it is necessary to determine an appropriate harmonic vibration excitation frequency. | Li Wei Yan Tie Li Siqi Zhang Xiaoning | 2013 | Petroleum Science2013，10，2： | 9 |
| 12 | Prioritizing sustainable development goals and linking them to ecosystem services:A global expert’s knowledge evaluation显示文摘The implementation of strategies to achieve the Sustainable Development Goals(SDGs)is frequently hindered by potential trade-offs between priorities for either environmental protection or human well-being.However,ecosystem services(ES)-based solutions can offer possible co-benefits for SDGs implementation that are often overlooked or underexploited.In this study,we cover this gap and investigate how experts from different countries value the SDGs and relate them with ES.A total of 66 countries participated to the survey,and answers were grouped into three macro-regions:Asia;Europe,North America,and Oceania(ENO);Latin America,Caribbean and Africa(LA).Results show that the most prioritized SDGs in the three macro-regions are usually those related to essential material needs and environmental conditions,such as SDG2(Zero Hunger),SDG1(No Poverty),and SDG6(Clean Water).At a global scale,the number of prioritized synergies between SDGs and ES largely exceeded trade-offs.The highest amount of synergies was observed for SDG1(No Poverty),mainly with SDG2,SDG3(Good Health),SDG5(Gender Equality),and SDG8(Economic Growth).Other major synergies among SDGs include SDG14-15(Life below water-Life on land),SDG5-10(Gender Equity-Reduced Inequality),and SDG1-2(No poverty-Zero Hunger).At a global scale,SDG15,SDG13,SDG14,and SDG6 were closely related to ES like climate regulation,freshwater,food,water purification,biodiversity,and education.SDG11(Sustainable Cities)and SDG3 were also relevant in Asia and in LA,respectively.Overall,this study shows the potential to couple future policies that can implement SDGs’strategies while adopting ES-based solutions in different regions of the world. | Siqi Yang Wenwu Zhao Yanxu Liu Francesco Cherubini Bojie Fu Paulo Pereira | 2020 | Geography and Sustainability2020，1，4： | 9 |
| 13 | The Epitope Study on the SARS-CoV Nucleocapsid Protein显示文摘The nucleocapsid protein (N protein) has been found to be an antigenic protein in a number of coronaviruses. Whether the N protein in severe acute respiratory syndrome-associated coronavirus (SARS-CoV) is antigenic remains to be elucidated. Using Western blot and Enzyme-linked Immunosorbent Assay (ELISA),the recombinant N proteins and the synthesized peptides derived from the N protein were screened in sera from SARS patients. All patient sera in this study displayed strong positive immunoreactivities against the recombinant N proteins,whereas normal sera gave negative immunoresponses to these proteins, indicating that the N protein of SARS-CoV is an antigenic protein. Furthermore, the epitope sites in the N protein were determined by competition experiments, in which the recombinant proteins or the synthesized peptides competed against the SARS-CoV proteins to bind to the antibodies raised in SARS sera. One epitope site located at the C-terminus was confirmed as the most antigenic region in this protein. A detailed screening of peptide with ELISA demonstrated that the amino sequence from Codons 371 to 407 was the epitope site at the C-terminus of the N protein. Understanding of the epitope sites could be very significant for developing an effective diagnostic approach to SARS. | Shuting Li, Liang Lin, Hao Wang, Jianning Yin, Yan Ren, Zhe Zhao, Jie Wen, Cuiqi Zhou, Xumin Zhang, Xiaolei Li, Jingqiang Wang, Zhengfeng Zhou, Jinxiu Liu, Jianmin Shao, Tingting Lei, Jianqiu Fang, Ningzhi Xu, and Siqi LiuBeijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China & Beijing Proteomics Institute, Beijing 101300, China | 2003 | Genomics, Proteomics & Bioinformatics2003，1，3： | 9 |
| 14 | Vehicle Dynamic State Estimation: State of the Art Schemes and Perspectives显示文摘Next-generation vehicle control and future autonomous driving require further advances in vehicle dynamic state estimation. This article provides a concise review, along with the perspectives, of the recent developments in the estimation of vehicle dynamic states. The definitions used in vehicle dynamic state estimation are first introduced, and alternative estimation structures are presented. Then, the sensor configuration schemes used to estimate vehicle velocity, sideslip angle, yaw rate and roll angle are presented. The vehicle models used for vehicle dynamic state estimation are further summarized, and representative estimation approaches are discussed. Future concerns and perspectives for vehicle dynamic state estimation are also discussed. | Hongyan Guo Dongpu Cao Hong Chen Chen Lv Huaji Wang Siqi Yang | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，2： | 9 |
| 15 | A multi-aircraft conflict detection and resolution method for 4-dimensional trajectory-based operation显示文摘Conflict Detection and Resolution(CD&R) is the key to ensure aviation safety based on Trajectory Prediction(TP). Uncertainties that affect aircraft motions cause difficulty in an accurate prediction of the trajectory, especially in the context of four-dimensional(4D) Trajectory-Based Operation(4DTBO), which brings the uncertainty of pilot intent. This study draws on the idea of time geography, and turns the research focus of CD&R from TP to an analysis of the aircraft reachable space constrained by 4D waypoint constraints. The concepts of space–time reachability of aircraft and space–time potential conflict space are proposed. A novel pre-CD&R scheme for multiple aircraft is established. A key advantage of the scheme is that the uncertainty of pilot intent is accounted for via a Space-Time Prism(STP) for aircraft. Conflict detection is performed by verifying whether the STPs of aircraft intersect or not, and conflict resolution is performed by planning a conflict-free space–time trajectory avoiding intersection. Numerical examples are presented to validate the efficiency of the proposed scheme. | Siqi HAO Shaowu CHENG Yaping ZHANG | 2018 | Chinese Journal of Aeronautics2018，31，7： | 8 |
| 16 | Enhancing the leaching effect of an ion-absorbed rare earth ore by ameliorating the seepage effect with sodium dodecyl sulfate surfactant显示文摘Ameliorating the problem of low leaching efficiency,long leaching period,and high agent consumption should be studied to efficiently exploit ion-absorbed rare earth ore resources.In this study,the surfactant sodium dodecyl sulfate(SDS) is used to enhance the leaching effect of an ion-absorbed rare earth ore by ameliorating the seepage effect for the first time.The effects of surfactant concentration,leaching agent dosage,solution flow velocity,and solution pH on the leaching rate were explored,and the mechanism of SDS was discussed.Under the optimum conditions,the addition of a small amount of SDS(mass fraction0.04%) can increase the leaching rate by about 5%,shorten the leaching period,and reduce the consumption of the leaching agent.SDS significantly ameliorates the seepage effect of the ore body by reducing the surface tension of the leaching agent and ameliorating the wettability of the mineral surface.This effect is the main factor that improves the leaching efficiency.DFT(density functional theory) calculation results show that SDS can react with rare earth ions,which reduces the adsorption strength on clay mineral surfaces.Hence,rare earth ions are easily exchanged by ammonium ions,and mass transfer is enhanced. | Yongbing Zhang Boyuan Zhang Siqi Yang Zhigang Zhong Hepeng Zhou Xianping Luo | 2021 | International Journal of Mining Science and Technology2021，31，6： | 8 |
| 17 | Characteristics and Cause Analysis of Heavy Haze in Changchun City in Northeast China显示文摘Northeast China has been reported as having serious air pollution in China with increasing occurrences of severe haze episodes. Changchun City, as the center of Northeast China, has longstanding industry and is an important agricultural base. Additionally, Changchun City has a long winter requiring heating of buildings emitting pollution into the air. These factors contribute to the complexity of haze pollution in this area. In order to analyze the causes of heavy haze, surface air quality has been monitored from 2013 to 2015. By using satellite and meteorological data, atmospheric pollution status, spatio-temporal variations and formation have been analyzed. Results indicated that the air quality in 88.9% of days exceeding air quality index(AQI) level-1 standard(AQI >50) according to the National Ambient Air Quality Standard(NAAQS) of China. Conversely, 33.7% of the days showed a higher level with AQI > 100. Extreme haze events(AQI > 300) occurred frequently during agricultural harvesting period(from October 10 to November 10), intensive winter heating period(from Late-December to February) and period of spring windblown dust(April and May). Most daily concentrations of gaseous pollutants, i.e., NO_2(43.8 μg/m^3), CO(0.9 mg/m^3), SO_2(37.9 μg/m^3), and O_3(74.9 μg/m^3) were evaluated within level-1 concentration limits of NAAQS standards. However, particulate matter(PM_(2.5) and PM10) concentrations(67.3 μg/m^3 and 115.2 μg/m^3, respectively) were significantly higher than their level-1 limits. Severe haze in spring was caused by offsite transported dust and windblown surface soil. Heavy haze periods during fall and winter were mainly formed by intensive emissions of atmospheric pollutants and steady weather conditions(i.e., low wind speed and inversion layer). The overlay emissions of widespread straw burning and coal combustion for heating were the dominant factors contributing to haze in autumn, while intensive coal burning during the coldest time was the primary component of total emissions. In addition, general emissions including automobile exhaust, road and construction dust, residential and industrial activities, have significantly increased in recent years, making heavy haze a more frequent occurrence. Therefore, both improved technological strategies and optimized pollution management on a regional scale are necessary to minimize emissions in specified seasons in Changchun City, as well as comprehensive control measures in Northeast China. | MA Siqi CHEN Weiwei ZHANG Shichun TONG Quansong BAO Qiuyang GAO Zongting | 2017 | Chinese Geographical Science2017，27，6： | 8 |
| 18 | Reversible Histone H2B Monoubiquitination Fine-Tunes Abscisic Acid Signaling and Drought Response in Rice显示文摘Histone H2B monoubiquitination (H2Bub1) plays important roles in several physiological and developmental processes, but its roles in the regulation of plant stress responses remain elusive. Here, we report that H2Bub1 is crucially involved in abscisic acid (ABA) signaling and drought response in rice. We found that rice HISTONE MONOUBIQUITINATION2 (OsHUB2), an E3 ligase for H2Bub1, in teracted with OsbZIP46, a key transcription factor regulating ABA signaling and drought response in rice. Genetic analyses suggest that OsHUB2, upregulated by drought and ABA, positively modulates ABA sensitivity and drought resistance. The H2Bub1 levels were in creased in the target genes of OsbZIP46 under the drought stress and ABA treat- merits, which were positively correlated with their increased expression levels. Interestingly, MODD, a reported suppressor of ABA signaling and drought resistance by mediating OsbZIP46 deactivation and degradation, could reduce the H2Bub1 levels in the target genes of OsbZIP46 by recruiting a putative deubiquitinase OsOTLD1 . Suppression of OsOTLD1in vivo resulted in increased H2Bub1 levels and expression of OsbZIP46 target genes. Collectively, these fin dings established an elaborate mecha nism of histone monoubiquitination in the fine-turning of ABA signaling and drought response by balancing H2Bub1 deposition and removal. | Siqi Ma Ning Tang Xu Li Yongjun Xie Denghao Xiang Jie Fu Jianqiang Shen Jun Yang Haifu Tu Xianghua Li Honghong Hu Lizhong Xiong | 2019 | Molecular Plant2019，12，2： | 7 |
| 19 | Last Deglacial Soft-Sediment Deformation at Shawan on the Eastern Tibetan Plateau and Implications for Deformation Processes and Seismic Magnitudes显示文摘The eastern margin of the Tibetan Plateau is characterized by frequent earthquakes; however, research of paleo-earthquakes in the area has been limited^ owing to the alpine topography and strong erosion. Detailed investigations of soft-sediment deformation(SSD) structures are valuable for understanding the trigger mechanisms, deformation processes, and the magnitudes of earthquakes that generate such structures, and help us to understand tectonic activity in the region. To assess tectonic activity during the late Quaternary, we studied a well-exposed sequence of Shawan lacustrine sediments, 7.0 m thick, near Lake Diexi in the upper reaches of the Minjiang River. Deformation is recorded by both ductile structures(load casts, flame structures,pseudonodules, ball-and-pillow structures, and liquefied convolute structures) and brittle structures(liquefied breccia, and microfaults). Taking into account the geodynamic setting of the area and its known tectonic activity, these SSD structures can be interpreted in terms of seismic shocks. The types and forms of the structures,the maximum liquefaction distances, and the thicknesses of the horizons with SSD structures in the Shawan section indicate that they record six strong earthquakes of magnitude 6-7 and one with magnitude >7. A recent study showed that the Songpinggou fault is the seismogenic structure of the 1933 Ms7.5 Diexi earthquake. The Shawan section is located close to the junction of the Songpinggou and Minjiang faults, and records seven earthquakes with magnitudes of ?7. We infer,therefore, that the SSD structures in the Shawan section document deglacial activity along the Songpinggou fault. | ZHONG Ning JIANG Hanchao LI Haibing XU Hongyan SHI Wei ZHANG Siqi WEI Xiaotong | 2019 | Acta Geologica Sinica(English Edition)2019，93，2： | 7 |
| 20 | Investigation of College Students' Mental Health Status via Semantic Analysis of Sina Microblog显示文摘The objective of this study is to understand the current mental status of college students in China's Mainland. In this study, 60 thousand college students' microblog content from January 2014 to June 2014 was collected. An emotional energy level, which was developed by a psychologist David R Hawkins, was taken as a basis for ontology database to divide the student's emotion into three parts—positive, negative and neutral status. An ontology-based semantic analysis method was used to analyze the microblog data. The result shows that 46.38% of Sina microblog data reflects positive psychological status, and the ratios of neutral and negative psychological status are 19.77% and 33.85%, respectively. It means that almost one third microblog reflects some negative mentality. The semantic analysis of the big data suggests that most students have healthy mental status, and the negative status of the students should not be ignored. | LIANG Xiaohui GU Siqi DENG Jiayuan GAO Zhaixing ZHANG Zhonghua SHEN Dezhong | 2015 | Wuhan University Journal of Natural Sciences2015，20，2： | 7 |
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