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Signal Transduction and Targeted Therapy 2022年第10期7卷 3625-3627页

作者： Junxian Ou Jianguo Wu Qiwei Zhang Guangdong Provincial Key Laboratory of Virology Institute of Medical MicrobiologyJinan University510632 GuangzhouChina

The recent studies published in Science and Cell Research investigated the structures and biochemical mechanism of the SARS-CoV-2 Omicron BA.1 and BA.2 spike trimer with ACE2 as well as an effective antibody JMB2002 against BA.1 and BA.2 spike,which provide new insights for the global development of broadspectrum anti-SARS-CoV-2 antibodies and vaccines.

关键词： ACE2 insight continuously

A 2 Kbits Low Power EEPROM for Passive RFID Tag IC

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Chinese Journal of Electronics 2022年第1期31卷 18-24页

作者： HU jianguo WANG Deming wu Jing School of Microelectronics Science and Technology Sun Yat-sen University School of Physics and Telecommunication Engineering South China Normal University Development Research Institute of Guangzhou Smart City

This paper presents a low power consumption and low cost electrically erasable programmable read-only memory(EEPROM) for radio frequency identification(RFID) tag chip. A read-write circuit with parallel input and serial output is proposed. Only one sensitive amplifier is used to read the data in memory,which can effectively reduce the power consumption of the read operation. Because the tag may be read or written while moving, the internal voltage may change in a wide range. Therefore, this paper designs a charge pump and its control circuit with wide voltage working range.The proposed EEPROM is integrated into an RFID tag chip and fabricated using a 180 nm complementary metal-oxide semiconductor(CMOS) process. Experimental results show that the circuit can work in the input voltage range of 1 V to 1.8 V, and the minimum current of read operation and write operation is 0.68 μA and 30 μA respectively, which has the characteristic of low power consumption.

关键词： EEPROM RFID Low power Very large scale integration (VLSI)

Adaptive vector field based accurate homing control of aerial delivery systems

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Chinese Journal of Aeronautics 2023年第2期36卷 256-269页

作者： Yiming GUO jianguo YAN Cihang wu Xiwei wu Bing XIAO School of Automation Northwestern Polytechnical UniversityXi'an 710072China

This paper investigates the homing control problem of a flexible aerial delivery system with external wind,at-mospheric turbulence,and aerodynamic uncertainties.An accurate homing control strategy is presented,consisting of a trajectory generation algorithm and a lateral tracking controller.A high-altitude trajectory generation is de-veloped with system characteristics explicitly considered to generate the desired trajectory for the aerial delivery control system design.It significantly compensates for the altitude deviation of the existing multiphase theory based trajectory generation methodologies.A novel adaptive vector field control law is then designed to accomplish the lateral tracking maneuvers.The key feature of the proposed method is that the complete lateral closed-loop control,including position and heading angle loops,is achieved in the presence of disturbances and dynamic uncertainties.The homing control with high landing accuracy is therefore achieved.Simulation and hardware-in-loop testing results are finally presented to validate the proposed method’s effectiveness compared to a conventional homing control scheme.

关键词： Asymptotic stability Adaptive control Aerial delivery system Parafoil system Tracking control

Effect of Grain Size and Compression Direction on the Hot Deformation Characteristics of High-Cr Ultra-Super-Critical Rotor Steel with Columnar Grains

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Acta Metallurgica Sinica(English Letters) 2023年第5期36卷 803-813页

作者： Yanyang wu Qiaodan Hu Zongye Ding jianguo Li Shanghai Key Laboratory of Materials Laser Processing and Modification School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai200240China School of Mechatronic Engineering and Automation Foshan UniversityFoshan528225China wuYang Iron and Steel Wugang450000China

The columnar grains with a duplex grain size distribution in the ingot increase the difficulty of the hot forging of the as-cast high Cr ultra-super-critical rotor steel.The hot deformation behaviors of the high Cr steel with different initial grain sizes under various compression directions were investigated.The results show that the hot deformation characteristic is strongly grain size and compression direction dependent.The finer grain size and compression direction perpendicular to the columnar grains increase the flow stress and activation energies of hot deformation,comparing with the large grain and deformation direction parallel to the columnar grains.The relationships between flow stress and deformation parameters for the different initial structures conform to the established constitutive equations.The former enhances the critical stress of the dynamic recrystallization(DRX),inhibiting the occurrence of DRX and reducing the dimensions of DRX grains.

关键词： High Cr ultra-super-critical rotor steel Solidification Hot deformation Dynamic recrystallization Critical stress

Industrial land expansion in rural China threatens environmental securities

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Frontiers of Environmental Science & Engineering 2021年第2期15卷 127-139页

作者： Chi Zhang Wenhui Kuang Jianguo Wu Jiyuan Liu Hanqin Tian Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection Linyi UniversityLinyi 276000China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China School of Life Sciences&School of Sustainability Arizona State UniversityTempeAZ 85287USA International Center for Climate and Global Change Research School of Forestry and Wildlife SciencesAuburn UniversityAuburnAL 36849USA

China’s rural industrialization has been a major driver for its rapid economic growth during the recent decades,but its myriad environmental risks are yet to be fully understood.Based on a comprehensive national land-use data set,our study shows that the area of China’s rural industrial land(RIL)quadrupled during 1990–2015,reaching 39338 km2 in 2015,comparable to urbanization in magnitude but with a much greater degree of landscape fragmentation which implies stronger ecological and environmental impacts.About 91%of the protected areas in the central China were within 50 km from rural industrial land,thus exposed to industrial disturbances.Accelerated rural industrial land expansion,particularly in regions under high geo-hazard risks,led to dramatically increased environmental risks,threatening the safety and health of both rural industrial workers and residents.Moreover,negative effects from rural industrial land expansion could partially offset the crop production growth in recent decades.The underprivileged rural population in the west bears a disproportionally large share of the increased environmental risks.China urgently needs to design and implement sustainable policies to restrict and reshape its rural industrialization.This study aims to inspire policy makers and researchers to rethink the current model of industrial expansion and improve rural industrial land planning,which is important for achieving the sustainable development goals of China.

关键词： Industrialization Land-use change Environment risks Environmental security Urbanization China

Integrated framework for seismic fragility assessment of cable-stayed bridges using deep learning neural networks

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Science China(Technological Sciences) 2023年第2期66卷 406-416页

作者： PANG YuTao YIN PengCheng WANG jianguo wu Li Faculty of Engineering China University of Geosciences(Wuhan)Wuhan 430074China China Railway Siyuan Survey and Design Group Co. Ltd.Wuhan 430074China Department of Civil Geological and Mining EngineeringPolytechnique MontréalMontréal H3C 3A7Canada

The increasing intensity of strong earthquakes has a large impact on the seismic safety of bridges worldwide.As the key component in the transportation network,the cable-stayed bridge should cope with the increasing future hazards to improve seismic safety.Seismic fragility analysis can assist the resilience assessment under different levels of seismic intensity.However,such an analysis is computationally intensive,especially when considering various random factors.The present paper implemented the deep learning neural networks that are integrated into the performance-based earthquake engineering framework to predict fragility functions and associated resilience index of cable-stayed bridges under seismic hazards to improve the computational efficiency while having sufficient accuracy.In the proposed framework,the Latin hypercube sampling was improved with additional uniformity to enhance the training process of the neural network.The well-trained neural network was then applied in a probabilistic simulation process to derive different component fragilities of the cable-stayed bridge.The estimated fragility functions were combined with the Monte Carlo simulations to predict system resilience.The proposed integrated framework in this study was demonstrated on an existing single-pylon cable-stayed bridge in China.Results reveal that this integrated framework yields accurate predictions of fragility functions for the cable-stayed bridge and has reasonable accuracy compared with the conventional methods.

关键词： deep learning neural network cable-stayed bridge fragility analysis uniform design method seismic resilience

Atomically dispersed hierarchically ordered porous Fe-N-C single-atom nanozymes for dyes degradation

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Nano Research 2023年第8期16卷 10840-10847页

作者： Shuangli wu Weiwei wu Xinyang Zhu Minghua Li jianguo Zhao Shaojun Dong Changchun State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China University of Science and Technology of China Hefei 230026China College of Chemistry Jilin UniversityChangchun 130012China

The development of novel nanozymes for environmental contamination remediation is a worthwhile research direction.However,most of the reported nanozymes cannot degrade efficiently due to the limitation of the internal active sites not being able to come into direct contact with contaminants.Therefore,we reported Fe-N-C single-atom nanozymes(SAzymes)with atomically dispersed FeN4 active sites anchored on a three-dimensional hierarchically ordered microporous-mesoporous-macroporous nitrogen doped carbon matrix(3DOM Fe-N-C)for the degradation of a targeted environmental pollutant(rhodamine B(RhB)).The three-dimensional(3D)hierarchically ordered porous structure may accelerate mass transfer and improve the accessibility of active sites.This structure and high metal atom utilization endow Fe-N-C SAzyme with enhanced tri-enzyme-mimic activities,comprising oxidase-mimic,peroxidase-mimic,and catalase-mimic activities.Based on its excellent peroxidase-mimic activity,3DOM Fe-N-C can degrade RhB by hydroxyl radicals(·OH)generated in the presence of hydrogen peroxide.This study provides a new idea for designing porous Fe-N-C SAzymes for environmental contamination remediation.

关键词： single-atom nanozymes(SAzymes) metal organic frameworks(MOFs) hierarchically ordered porous structure trienzyme mimics environmental contamination remediation

A technique for detecting and attributing changes in species distributions to climate change over time

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Chinese Journal of Population,Resources and Environment 2020年第2期18卷 110-126页

作者： Jianguo Wu The Institute of Environmental Ecology Chinese Research Academy of Environmental SciencesBeijing100012China

The global climate has changed substantially over the last 100 years,and associated changes in species distribution limits have occurred in recent decades.Climate change presents a challenge for biodiversity conservation on a global scale.The ability to detect changes in species distributions and attribute them to past climate change is crucial for the accurate prediction of future species distributions and for biodiversity conservation.This study proposes a technique for the quantitative detection of species distribution changes and their attribution to past climate change.An attribution value was defined to describe the extent to which the distributional changes for observed species could be attributed to climate change.The calculation thereof involved the following steps:(1)construction of a time series of observed species distributions and climatic factors,(2)estimation of the correlations between changes in species distributions and climatic factors,(3)prediction of changes in species distributions as driven by climatic factors,(4)estimation of the consistency between observed and predicted changes in species distributions,and(5)estimation of the attribution value.Furthermore,using nine snake species found in China as examples,we demonstrated in detail the practical application of this technique.This technique can be used to identify,based on global species distribution and climate data,the effects of climate change on species distributions over the past years on a global scale.

关键词： Attribution method Biodiversity Climate change Consistency index Grey relation analysis Snakes

Evaluation of the weakening behavior of gas on the coal strength and its quantitative influence on the coal deformation

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International Journal of Mining Science and Technology 2021年第3期31卷 451-462页

作者： Haijun Guo Kai Wang Yuchen wu Hanlu Tang Jianguo Wu Lianhe Guan Chenyang Chang Chao Xu Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources China University of Mining and Technology-BeijingBeijing 100083China School of Emergency Management and Safety Engineering China University of Mining and Technology-BeijingBeijing 100083China State Key Laboratory of Coal Resources and Safe Mining China University of Mining and Technology-BeijingBeijing 100083China Kailuan(Group)Co. Ltd.Tangshan 063018China

The coal strength and deformation properties are key factors affecting safe coal mining and highefficiency coalbed methane(CBM)development.In this paper,reconstituted coal samples are chosen to investigate the weakening behavior of gas on coal strength,meanwhile,its effects on coal deformation are quantitatively evaluated.The results indicate that the weakening degree of gas on coal strength is closely related to the confining stress and gas pressure.Compared with non-gas-saturated coals,the maximum weakening ratios of adsorbed gas to coal strength are 10.58%,18.12%,8.55%and 14.65%under the conditions of confining stress CS=3 MPa and gas pressure GP=1 MPa,CS=3 MPa and GP=2 MPa,CS=4 MPa and GP=1 MPa,and CS=4 MPa and GP=2 MPa,respectively.Furthermore,the maximum weakening ratios of free gas to coal strength are 18.27%,36.54%,14.79%and 29.58%,respectively,under above four conditions.The maximum coal bulk strain decreases as particle sizes of coal powders increase,and it has a maximum value of 0.0227 and a minimum value of 0.0191 in particle size ranges of 0.01–0.041 and 0.5–1 mm.Under the same conditions,the coal bulk strain increases with increasing gas pressure,revealing that coal deformation properties can be enhanced by gas.

关键词： Gas-saturated coal Coal strength Weakening effect Coal deformation Quantitative evaluation Mechanical loading

Long non-coding RNA in liver metabolism and disease:Current status

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Liver Research 2017年第3期1卷 163-167页

作者： Yulan Zhao Jianguo Wu Suthat Liangpunsakul Li Wang Department of Physiology and Neurobiology The Institute for Systems GenomicsUniversity of ConnecticutStorrsCTUSA Division of Gastroenterology and Hepatology Department of MedicineIndiana University School of MedicineINUSA Department of Biochemistry and Molecular Biology Indiana University School of MedicineIndianapolisINUSA Roudebush Veterans Administration Medical Center IndianapolisINUSA Veterans Affairs Connecticut Healthcare System West HavenCTUSA Department of Internal Medicine Section of Digestive DiseasesYale UniversityNew HavenCTUSA School of Pharmaceutical Sciences Wenzhou Medical UniversityWenzhouZhejiangChina

Long non-coding RNAs(lncRNAs)are comprised of RNA transcripts exceeding 200 nucleotides in length but lacking identifiable open reading frames(with rare exceptions).Herein,we highlight emerging evidence demonstrating that lncRNAs are critical regulators of liver metabolic function and diseases.We summarize current knowledges about dysregulated lncRNAs and outline the underlying molecular mechanisms by which lncRNAs control hepatic lipid ad glucose metabolism,as well as cholestatic liver disease.Liver-specific triglyceride regulator(lncLSTR),Lnc18q22.2,steroid RNA activator(SRA),highly upregulated in liver cancer(HULC),metastasis associated in lung adenocarcinoma transcript 1(MALAT1),liver glucokinase repressor(lncLGR),maternally expressed gene 3(MEG3),and H19,lncHR1,lnc-HC,apolipoprotein A1 antisense transcript(APOA1-AS),DYNLRB2-2,and LXR-induced sequence(LeXis)are included in the discussion.

关键词： Long non-coding RNA(lncRNA) Liver Lipid metabolism Glucose metabolism Cholestatic liver disease