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| 1 | Geochronology, Geochemistry and Sr-Nd-Pb-Hf Isotopes of No. I Complex from the Shitoukengde Ni–Cu Sulfide Deposit in the Eastern Kunlun Orogen, Western China: Implications for the Magmatic Source, Geodynamic Setting and Genesis显示文摘The Shitoukengde Ni-Cu deposit, located in the Eastern Kunlun Orogen, comprises three mafic–ultramafic complexes, with the No. I complex hosting six Ni-Cu orebodies found recently. The deposit is hosted in the small ultramafic bodies intruding Proterozoic metamorphic rocks. Complexes at Shitoukengde contain all kinds of mafic-ultramafic rocks, and olivine websterite and pyroxene peridotite are the most important Ni-Cu-hosted rocks. Zircon U-Pb dating suggests that the Shitoukengde Ni-Cu deposit formed in late Silurian(426–422 Ma), and their zircons have εHf(t) values of-9.4 to 5.9 with the older T_(DM1) ages(0.80–1.42 Ga). Mafic-ultramafic rocks from the No. I complex show the similar rare earth and trace element patterns, which are enriched in light rare earth elements and large ion lithophile elements(e.g., K, Rb, Th) and depleted in heavy rare earth elements and high field strength elements(e.g., Ta, Nb, Zr, Ti). Sulfides from the deposit have the slightly higher δ^(34)S values of 1.9–4.3‰ than the mantle(0 ± 2‰). The major and trace element characteristics, and Sr-Nd-Pb and Hf, S isotopes indicate that their parental magmas originated from a metasomatised, asthenospheric mantle source which had previously been modified by subduction-related fluids, and experienced significant crustal contamination both in the magma chamber and during ascent triggering S oversaturation by addition of S and Si, that resulted in the deposition and enrichment of sulfides. Combined with the tectonic evolution, we suggest that the Shitoukengde Ni-Cu deposit formed in the post-collisional, extensional regime related to the subducted oceanic slab break-off after the Wanbaogou oceanic basalt plateau collaged northward to the Qaidam Block in late Silurian. | LI Liang SUN Fengyue LI Bile LI Shijin CHEN Guangjun WANG Wei YAN Jiaming ZHAO Tuofei DONG Jun ZHANG Dexin | 2018 | Acta Geologica Sinica(English Edition)2018，92，1： | 10 |
| 2 | Three-layer intelligence of planetary exploration wheeled mobile robots:Robint,virtint,and humint显示文摘The great success of the Sojourner rover in the Mars Pathfinder mission set off a global upsurge of planetary exploration with autonomous wheeled mobile robots(WMRs),or rovers.Planetary WMRs are among the most intelligent space systems that combine robotic intelligence(robint),virtual intelligence(virtint),and human intelligence(humint) synergetically.This article extends the architecture of the three-layer intelligence stemming from successful Mars rovers and related technologies in order to support the R&D of future tele-operated robotic systems.Double-layer human-machine interfaces are suggested to support the integration of humint from scientists and engineers through supervisory(Mars rovers) or three-dimensional(3D) predictive direct tele-operation(lunar rovers).The concept of multilevel autonomy to realize robint,in particular,the Coupled-Layer Architecture for Robotic Autonomy developed for Mars rovers,is introduced.The challenging issues of intelligent perception(proprioception and exteroception),navigation,and motion control of rovers are discussed,where the terrains' mechanical properties and wheel-terrain interaction mechanics are considered to be key.Double-level virtual simulation architecture to realize virtint is proposed.Key technologies of virtint are summarized:virtual planetary terrain modeling,virtual intelligent rover,and wheel-terrain interaction mechanics.This generalized three-layer intelligence framework is also applicable to other systems that require human intervention,such as space robotic arms,robonauts,unmanned deep-sea vehicles,and rescue robots,particularly when there is considerable time delay. | DING Liang GAO HaiBo DENG ZongQuan LI YuanKai LIU GuangJun YANG HuaiGuang YU HaiTao | 2015 | Science China(Technological Sciences)2015，58，8： | 3 |
| 3 | Personalized cancer vaccines from bacteria-derived outer membrane vesicles with antibody-mediated persistent uptake by dendritic cells显示文摘Nanocarriers with intrinsic immune adjuvant properties can activate the innate immune system while delivering tumor antigen,thus efficiently facilitating antitumor adaptive immunity.Bacteria-derived outer membrane vesicles(OMVs)are an excellent candidate due to their abundance of pathogen associated molecular patterns.However,during the uptake of OMVs by dendritic cells(DCs),the interaction between lipopolysaccharide and toll-like receptor 4 induces rapid DC maturation and uptake blockage,a phenomenon we refer to as“maturation-induced uptake obstruction'(MUO).Herein we decorated OMV with the DC-targeting aDEC205 antibody(OMV-DEC),which endowed the nanovaccine with an uptake mechanism termed as 4 | Jie Liang Keman Cheng Yao Li Jiaqi Xu Yiwei Chen Nana Ma Qingqing Feng Fei Zhu Xiaotu Ma Tianjiao Zhang Yale Yue Guangna Liu Xinjing Guo Zhiqiang Chen Xinwei Wang Ruifang Zhao Ying Zhao Jian Shi Xiao Zhao Guangjun Nie | 2022 | Fundamental Research2022，2，1： | 2 |
| 4 | Dynamic Finite Element Modeling and Simulation of Soft Robots显示文摘Soft robots have become important members of the robot community with many potential applications owing to their unique flexibility and security embedded at the material level.An increasing number of researchers are interested in their designing,manufacturing,modeling,and control.However,the dynamic simulation of soft robots is difficult owing to their infinite degrees of freedom and nonlinear characteristics that are associated with soft materials and flexible geometric structures.In this study,a novel multi-flexible body dynamic modeling and simulation technique is introduced for soft robots.Various actuators for soft robots are modeled in a virtual environment,including soft cable-driven,spring actuation,and pneumatic driving.A pneumatic driving simulation was demonstrated by the bending modules with different materials.A cable-driven soft robot arm prototype and a cylindrical soft module actuated by shape memory alley springs inspired by an octopus were manufactured and used to validate the simulation model,and the experimental results demonstrated adequate accuracy.The proposed technique can be widely applied for the modeling and dynamic simulation of other soft robots,including hybrid actuated robots and rigid-flexible coupling robots.This study also provides a fundamental framework for simulating soft mobile robots and soft manipulators in contact with the environment. | Liang Ding Lizhou Niu Yang Su Huaiguang Yang Guangjun Liu Haibo Gao Zongquan Deng | 2022 | Chinese Journal of Mechanical Engineering2022，35，2： | 2 |
| 5 | Coverage Probability and Average Rate of Uplink Cellular Networks Based on a 3-D Model显示文摘Uplink cellular networks are usually modeled using simple Wyner-type cellular models where interference is simplified as a single random variable, or via 2-D Poisson point process(PPP) theory, with mobile users either scattered randomly or placed deterministically. These models are insufficient to evaluate performance in dense urban environments where a large number of small cells are installed. We take a fresh look at this problem using tools from 3-D PPP, and we develop a new general model based on 3-D space for uplink cellular networks. The main idea is modeling mobile users and small cells as two separate spatial PPPs. Under general assumptions, the uplink coverage probability can be easily evaluated through fast integral calculation. We compare our model to the traditional 2-D model and actual mobile user/small cell deployment, and we observe that the proposed model is more accurate and provides a closer bound of coverage probability. | PAN Ziyu ZHU Qi LIANG Guangjun HU Han | 2018 | Chinese Journal of Electronics2018，27，5： | 1 |
| 6 | An Early Warning Model of Telecommunication Network Fraud Based on User Portrait显示文摘With the frequent occurrence of telecommunications and networkfraud crimes in recent years, new frauds have emerged one after another whichhas caused huge losses to the people. However, due to the lack of an effectivepreventive mechanism, the police are often in a passive position. Usingtechnologies such as web crawlers, feature engineering, deep learning, andartificial intelligence, this paper proposes a user portrait fraudwarning schemebased on Weibo public data. First, we perform preliminary screening andcleaning based on the keyword “defrauded” to obtain valid fraudulent userIdentity Documents (IDs). The basic information and account information ofthese users is user-labeled to achieve the purpose of distinguishing the typesof fraud. Secondly, through feature engineering technologies such as avatarrecognition, Artificial Intelligence (AI) sentiment analysis, data screening,and follower blogger type analysis, these pictures and texts will be abstractedinto user preferences and personality characteristics which integrate multidimensionalinformation to build user portraits. Third, deep neural networktraining is performed on the cube. 80% percent of the data is predicted basedon the N-way K-shot problem and used to train the model, and the remaining20% is used for model accuracy evaluation. Experiments have shown thatFew-short learning has higher accuracy compared with Long Short TermMemory (LSTM), Recurrent Neural Networks (RNN) and ConvolutionalNeural Network (CNN). On this basis, this paper develops a WeChat smallprogram for early warning of telecommunications network fraud based onuser portraits. When the user enters some personal information on the frontend, the back-end database can perform correlation analysis by itself, so as tomatch the most likely fraud types and give relevant early warning information.The fraud warning model is highly scaleable. The data of other Applications(APPs) can be extended to further improve the efficiency of anti-fraud whichhas extremely high public welfare value. | Wen Deng Guangjun Liang Chenfei Yu Kefan Yao Chengrui Wang Xuan Zhang | 2023 | Computers, Materials & Continua2023，，4： | 0 |
| 7 | Analysis on D2D Heterogeneous Networks with State-Dependent Priority Traffic显示文摘In this work,we consider the performance analysis of state dependent priority traffic and scheduling in device to device(D2D)heterogeneous networks.There are two priority transmission types of data in wireless communication,such as video or telephone,which always meet the requirements of high priority(HP)data transmission first.If there is a large amount of low priority(LP)data,there will be a large amount of LP data that cannot be sent.This situation will cause excessive delay of LP data and packet dropping probability.In order to solve this problem,the data transmission process of high priority queue and low priority queue is studied.Considering the priority jump strategy to the priority queuing model,the queuing process with two priority data is modeled as a two-dimensionalMarkov chain.A state dependent priority jump queuing strategy is proposed,which can improve the discarding performance of low priority data.The quasi birth and death process method(QBD)and fixed point iterationmethod are used to solve the causality,and the steady-state probability distribution is further obtained.Then,performance parameters such as average queue length,average throughput,average delay and packet dropping probability for both high and low priority data can be expressed.The simulation results verify the correctness of the theoretical derivation.Meanwhile,the proposed priority jump queuing strategy can significantly improve the drop performance of low-priority data. | Guangjun Liang Jianfang Xin Linging Xia Xueli Ni Yi Cao | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 8 | Blockchain-Based Cognitive Computing Model for Data Security on a Cloud Platform显示文摘Cloud storage is widely used by large companies to store vast amounts of data and files,offering flexibility,financial savings,and security.However,information shoplifting poses significant threats,potentially leading to poor performance and privacy breaches.Blockchain-based cognitive computing can help protect and maintain information security and privacy in cloud platforms,ensuring businesses can focus on business development.To ensure data security in cloud platforms,this research proposed a blockchain-based Hybridized Data Driven Cognitive Computing(HD2C)model.However,the proposed HD2C framework addresses breaches of the privacy information of mixed participants of the Internet of Things(IoT)in the cloud.HD2C is developed by combining Federated Learning(FL)with a Blockchain consensus algorithm to connect smart contracts with Proof of Authority.The“Data Island”problem can be solved by FL’s emphasis on privacy and lightning-fast processing,while Blockchain provides a decentralized incentive structure that is impervious to poisoning.FL with Blockchain allows quick consensus through smart member selection and verification.The HD2C paradigm significantly improves the computational processing efficiency of intelligent manufacturing.Extensive analysis results derived from IIoT datasets confirm HD2C superiority.When compared to other consensus algorithms,the Blockchain PoA’s foundational cost is significant.The accuracy and memory utilization evaluation results predict the total benefits of the system.In comparison to the values 0.004 and 0.04,the value of 0.4 achieves good accuracy.According to the experiment results,the number of transactions per second has minimal impact on memory requirements.The findings of this study resulted in the development of a brand-new IIoT framework based on blockchain technology. | Xiangmin Guo Guangjun Liang Jiayin Liu Xianyi Chen | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 9 | Phase transition, structure and shape memory effect of Ni_(47)Ti43Hf_(10) alloy | LIANG Xuelei, SHEN Huimin, ZHANG Zhifang, WANG Yening and SHEN Guangjun( State Key Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210093, China . Analysis and Testing Center, Southeast University, Nanjing 210018, China) | 2002 | Progress in Natural Science:Materials International2002，12，1： | 0 |
| 10 | Investigation of Peptoid Chiral Stationary Phases Terminated with N'-Substituted PhenyI-L-proline/leucine Amide显示文摘静止阶段(CSP ) 与代替 N 的 phenyl-L-proline 或 L 白氨酸酰胺终止了的八 peptoid chiral 在正常阶段模式下面被准备并且评估。与 59 外消旋的 analytes,我们在与 p-methylphenyl, p-chlorophenyl 和 unsubstituted 苯基终止的 CSP 上比较了 enantiomeric 分离。为包含仅仅一 S-N-(1-phenylethyl ) 的短 peptoid 选购者 glycine (Nspe ) 单位,终端 p 甲基取代者没显著地影响 chiral 识别能力。在 L 脯氨酸,酰胺终止了 CSP,当在 L 白氨酸酰胺终止了 CSP 时, p-chloro 取代者导致了显然劣等的选择,它更好工作了。包含二个更多的 Nspe 单位的更长的 peptoid 选购者通常比更短的更好表现了,由于到 chiral 识别的 peptoid 链的大贡献。同时,选择上的终端取代者的效果被发现 CSP 在这些上改变了。为与 L 白氨酸酰胺终止的 CSP,在更长的选购者的终端 p-chloro 取代者不再生产了最好的识别能力;有 unsubstituted 苯基的 CSP 相反最好表现了。CSP 在终端取代者和链长度改变了的这些 peptoid 的比较被进行获得这类型 CSP 的 chiral 识别机制的更好的理解并且支持更有用的 CSP 的发展。 | Wu Haibo Song Guangjun Liang Xinmiao Ke Yanxiong | 2012 | Chinese Journal of Chemistry2012，30，12： | 0 |
| 11 | GCSS:a global collaborative scheduling strategy for wide-area high-performance computing显示文摘Wide-area high-performance computing is widely used for large-scale parallel computing applications owing to its high computing and storage resources.However,the geographical distribution of computing and storage resources makes efficient task distribution and data placement more challenging.To achieve a higher system performance,this study proposes a two-level global collaborative scheduling strategy for wide-area high-performance computing environments.The collaborative scheduling strategy integrates lightweight solution selection,redundant data placement and task stealing mechanisms,optimizing task distribution and data placement to achieve efficient computing in wide-area environments.The experimental results indicate that compared with the state-of-the-art collaborative scheduling algorithm HPS+,the proposed scheduling strategy reduces the makespan by 23.24%,improves computing and storage resource utilization by 8.28%and 21.73%respectively,and achieves similar global data migration costs. | Yao SONG Limin XIAO Liang WANG Guangjun QIN Bing WEI Baicheng YAN Chenhao ZHANG | 2022 | Frontiers of Computer Science2022，16，5： | 0 |
| 12 | Short-term Effects of Nitrogen Deposition on Soil Respiration of Cinnamomum camphora Plantation显示文摘The nitrogen deposition experiments on Cinnamomum camphora plantation of Hunan provincial botanical garden were simulated from June the 7th to October the 7th,2010,the nitrogen deposition levels was respectively as control(CK, 0 g·m-2 a-1),low nitrogen(LN,5 g·m-2 a-1),medium nitrogen(MN,15 g·m-2 a-1) and high nitrogen(HN, 30 g·m -2 a-1).The soil respiration speed and soil surface temperature and the surface water content of the soil were determined by LI-8100 measuring instrument.The results show that the average values of soil respiration speed were CK (4.09±0.66μmol·m-2 s-1),LN(2.39±029μmol·m-2 s-1), MN(2.18±0.19μmol·m-2s-1),HN (2.28±0.25μmol·m-2 s-1),and the treatment of the CK was obviously higher than the other three treatments(P<0.01).With different nitrogen concentrations deposition treatments,the Q10 (temperature sensitivity coefficients) for soil respiration of CK,LN,MN and HN treatments were 1.84,1.71,1.83 and 1.56.It was positive correlation between the respiration speed and the surface(≤10 cm) temperature of tested soil.It was negative correlation between the respiration speed and the surface(≤5 cm) water content of tested soil(P>0.05).Volumetric water content of 5-cm soil was between 0.266 6-0.294 4(m3·m-3), and the monthly content did not vary too much during the research period(1.8%-9.4%).The findings suggest that the initial stage of nitrogen deposition obviously influenced the soil respiration of C.camphora plantation. | Zhang Xuyuan Yan Wende Ma Xiuhong Zheng Wei Wang Guangjun Liang Xiaocui | 2012 | Chinese Forestry Science and Technology2012，11，3： | 0 |
| 13 | Autophagy mediates a direct synergistic interaction during cotransmission of two distinct arboviruses by insect vectors显示文摘Multiple viral infections in insect vectors with synergistic effects are common in nature,but the underlying mechanism remains elusive.Here,we find that rice gall dwarf reovirus(RGDV)facilitates the transmission of rice stripe mosaic rhabdovirus(RSMV)by co-infected leafhopper vectors.RSMV nucleoprotein(N)alone activates complete anti-viral autophagy,while RGDV nonstructural protein Pns11 alone induces pro-viral incomplete autophagy.In co-infected vectors,RSMVexploits Pns11-induced autophagosomes to assemble enveloped virions via N-Pns11-ATG5 interaction.Furthermore,RSMV could effectively propagate in Sf9 cells.Expression of Pns11 in Sf9 cells or leafhopper vectors causes the recruitment of N from the ER to Pns11-induced autophagosomes and inhibits N-induced complete autophagic flux,finally facilitating RSMV propagation.In summary,these results demonstrate a previously unappreciated role of autophagy in the regulation of the direct synergistic interaction during co-transmission of two distinct arboviruses by insect vectors and reveal the functional importance of virus-induced autophagosomes in rhabdovirus assembly. | Dongsheng Jia Qifu Liang Hongyan Chen Huan Liu Guangjun Li Xiaofeng Zhang Qian Chen Aiming Wang Taiyun Wei | 2023 | Science China(Life Sciences)2023，66，7： | 0 |
| 14 | Research on Metaverse Security and Forensics显示文摘As a subversive concept,the metaverse has recently attracted widespread attention around the world and has set off a wave of enthusiasm in academic,industrial,and investment circles.However,while the metaverse brings unprecedented opportunities for transformation to human society,it also contains related risks.Metaverse is a digital living space with information infrastructure,interoperability system,content production system,and value settlement system as the underlying structure in which the inner core is to connect real residents through applications and identities.Through social incentives and governance rules,the metaverse reflects the digital migration of human society.This article will conduct an in-depth analysis of the metaverse from the perspective of electronic data forensics.First,from the perspective of Internet development,the background and development process of the metaverse is discussed.By systematically elaborating on the concept and connotation of the metaverse,this paper summarizes the different views of current practitioners,experts,and scholars on the metaverse.Secondly,from the perspective of metaverse security,the social risk and crime risks of the metaverse are discussed.Then the importance of metaverse forensics is raised.Third,from the perspective of blockchain,smart wearable devices,and virtual reality devices,the objects and characteristics of metaverse forensics have been studied in depth.Taking smart wearable devices as an example,this paper gives the relevant experimental process of smart bracelet forensics.Finally,many challenges faced by metaverse forensics are summarized by us which provide readers with some exploratory guidance. | Guangjun Liang Jianfang Xin Qun Wang Xueli Ni Xiangmin Guo Pu Chen | 2023 | Computers, Materials & Continua2023，77，10： | 0 |
| 15 | A bibliometric analysis of worldwide cancer research using machine learning methods显示文摘With the progress and development of computer technology,applying machine learning methods to cancer research has become an important research field.To analyze the most recent research status and trends,main research topics,topic evolutions,research collaborations,and potential directions of this research field,this study conducts a bibliometric analysis on 6206 research articles worldwide collected from PubMed between 2011 and 2021 concerning cancer research using machine learning methods.Python is used as a tool for bibliometric analysis,Gephi is used for social network analysis,and the Latent Dirichlet Allocation model is used for topic modeling.The trend analysis of articles not only reflects the innovative research at the intersection of machine learning and cancer but also demonstrates its vigorous development and increasing impacts.In terms of journals,Nature Communications is the most influential journal and Scientific Reports is the most prolific one.The United States and Harvard University have contributed the most to cancer research using machine learning methods.As for the research topic,“Support Vector Machine,”“classification,”and“deep learning”have been the core focuses of the research field.Findings are helpful for scholars and related practitioners to better understand the development status and trends of cancer research using machine learning methods,as well as to have a deeper understanding of research hotspots. | Lianghong Lin Likeng Liang Maojie Wang Runyue Huang Mengchun Gong Guangjun Song Tianyong Hao | 2023 | Cancer Innovation2023，2，3： | 0 |
| 16 | SoSpider:A bio-inspired multimodal untethered soft hexapod robot for planetary lava tube exploration显示文摘Soft robots have tremendous potential for applications in various fields,owing to their safety and flexibility embedded at the material level.Soft robots,especially bio-inspired soft legged robots,have become one of the most active fields of current research in robotics thanks to their superior mobility and ability to face complex terrains.However,it is arduous to establish a dynamic simulation model for soft robots,owing to their hyper-redundant degrees of freedom,hyper-elasticity,and nonlinearity of their soft structures.In this study,we designed,simulated,and fabricated a hexapod robot that achieves walking,crawling,pronking,and rolling with wheeled legs plus a soft body capable of shape change.A robot prototype was fabricated using 3D printing technology and soft silicone pneumatic networks.Actuators,battery power,and control boards were integrated into the body of the robot for untethered locomotion.We have explored the capabilities of the robot in different conditions,especially in scenarios that simulate lunar and Martian environments,demonstrating the motion performance of the robot.The results have shown promising potentials of the developed robot for future applications in planetary lava tube exploration.Our experimental and simulation results also show good agreements that indicate the potential predictive roles of simulation tools for soft robot design,planning,and control. | NIU LiZhou DING Liang ZHANG ShengJie YANG HuaiGuang GAO HaiBo DENG ZongQuan LIU GuangJun HOSSAIN Mokarram | 2023 | Science China(Technological Sciences)2023，66，11： | 0 |
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