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Dynamic evolution of Co species and morphological reconstruction on Co-N-C during the nitrate reduction reaction in neutral solution

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Nano Research 2025年第1期18卷 164-172页

作者： Yuanlin fu Xiaoting yang Ya Yu Kang Zhou Xiaoyang Ye Aoxiang Zhang Xiaojiao Hou Bingbing Chen fuqiang fan Yuhang Li Yu fu Department of Chemistry College of SciencesNortheastern UniversityShenyang 110819China Department of Physical Education Shen Yang Institute of Science and TechnologyShenyang 110167China Sungrow Power Supply Co. Ltd.Hefei 230088China

The electrochemical nitrate reduction reaction(eNO_(3)^(-)RR)is considered an effective approach for converting nitrate-containing wastewater to *** adsorption and activation of NO_(3)^(-)is the critical step for many materials and the high energy barrier inhibits the continuation of the reduction *** Co nanoparticles encapsulated in the carbon layer we prepared spontaneously react with NO_(3)^(-)and the resulting Co^(2+)is then reduced by electroreduction to Co^(0),which circulates *** resulted in overcoming the energy input required for NO_(3)^(-)adsorption and conversion,thereby increasing the catalytic *** the same time,the morphology of the catalyst reconstructed from a dodecahedron to an interwoven nanosheet structure and the increased surface area also gives it better *** obtained Co(OH)_(2)@Co-N-C has an excellent eNO_(3)^(-)RR of 2774.7μg·h^(-1)·cm^(-2)with a Faraday efficiency of 81.4%in neutral *** the same time,the material-modified electrode can run stably for more than 100 *** work provides a new idea for the design of Co-based catalysts for eNO_(3)^(-)RR.

关键词： electrochemical nitrate reduction reaction Co-based catalyst dynamic evolution of Co species morphological reconstruction

Surfing the nano-wave:Emerging trends in cancer diagnostics and therapy

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Nano Research 2025年第1期18卷 520-544页

作者： Genping fu Yuting Weng Yunfan Li Carl Ho Yiyu fu Wenxuan Wang Songbin fu Wenjing Sun Jie Lin Xiaoyu fan Binbin Jia Mengdi Cai Linlin Li Laboratory of Medical Genetics Harbin Medical UniversityHarbin 150081China Key Laboratory of Preservation of Human Genetics Resources and Disease Control in China(Harbin Medical University) Ministry of EducationHarbin 150081China Beijing Key Laboratory for Optical Materials and Photonic Devices Department of ChemistryCapital Normal UniversityBeijing 100048China College of Materials and Chemical Engineering Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion MaterialsChina Three Gorges UniversityYichang 443002China Washington University School of Medicine in St.Louis St.LouisMO 63110USA Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingbo 315201China Aix-Marseille College Wuhan University of TechnologyWuhan 430070China

Facing the growing global challenge posed by cancer,the quest for more accurate and potent cancer diagnostic and therapeutic strategies continues to require a multidisciplinary integration *** review firstly summarizes various types of nanoparticles in cancer ***,it offers a comprehensive overview of signalenhancing techniques for visualizing in situ tumors,along with multimodal diagnostic methods for detecting *** for tumor therapy,cutting-edge drug delivery methods that can cross biological barriers and the pinpoint targeting of tumor lesions for precise medical intervention are *** the domain of therapeutic diagnostics,we elucidate the theoretical underpinnings and structural paradigms that underlie a spectrum of advanced diagnostic and therapeutic ***,we present a compendium of publications delineating the clinical applications of each nano-based theragnostic integration ***,this comprehensive review discusses the safety concerns pertaining to the clinical application of nanoparticles and proposes some strategic recommendations to enhance the precision and safety of theragnostic-guided,nanotechnology-based clinical practices.A deeper understanding of nanomaterials,together with intimate interdisciplinary collaborations,nano-wave will most probably guide human beings to win the battle against cancers.

关键词： nanoparticles drug delivery gastric cancer glioma glioblastoma

Active generalized predictive control of turbine tip clearance for aero-engines

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Chinese Journal of Aeronautics 2013年第5期26卷 1147-1155页

作者： Peng Kai fan Ding yang fan fu Qiang Li Yong School of Power and Energy Northwestern Polytechnical University Aeronautics and Astronautics Engineering College Air Force Engineering University School of Flight Technology Civil Aviation Flight University of China

Active control of turbine blade tip clearance continues to be a concern in design and control of gas turbines. Ever increasing demands for improved efficiency and higher operating temperatures require more stringent tolerances on turbine tip clearance. In this paper, a turbine tip clearance control apparatus and a model of turbine tip clearance are proposed; an implicit active generalized predictive control （GPC）, with auto-regressive （AR） error modification and fuzzy adjustment on control horizon, is presented, as well as a quantitative analysis method of robust per- turbation radius of the system. The active clearance control （ACC） of aero-engine turbine tip clear- ance is evaluated in a lapse-rate take-off transient, along with the comparative and quantitative analysis of the stability and robustness of the active tip clearance control system. The results show that the resultant active tip clearance control system with the improved GPC has favorable steadystate and dynamic performance and benefits of increased efficiency, reduced specific fuel consump- tion, and additional service life.

关键词： Active clearance control(ACC) Aero-engine Aircraft Generalized prcdictivc control (GPC) Global convergence Robust perturbation radius Turbine tip clearance

NETWORK ANALYSIS OF TERRORIST ACTIVITIES

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Journal of Systems Science & Complexity 2014年第6期27卷 1079-1094页

作者： fu Julei fan Ying WANG yang WANG Shouyang College of Information System and Management National University of Defense Technology Department of Systems Science School of Management and Center for Complexity ResearchBeijing Normal University Department of Physics Bar-Ilan UniversityRamat Gan 52900Israel Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper uses an extensive network approach to "East Turkistan" activities by building both the one-mode and the bipartite networks for these *** the one-mode network,centrality analysis and spectrum analysis are used to describe the importance of each *** this basis,two types of core vertices——The center of communities and the intermediary vertices among communities— are *** weighted extreme optimization(WEO) algorithm is also applied to detect communities in the one-mode *** the "terrorist-terrorist organization" bipartite network,the authors adopt centrality analysis as well as clustering analysis based on the original bipartite network in order to calculate the importance of each vertex,and apply the edge clustering coefficient algorithm to detect the *** comparative and empirical analysis indicates that this research has been proved to be an effective way to identify the core members,key organizations,and communities in the network of "East Turkistan" terrorist *** results can provide a scientific basis for the analysis of "East Turkistan" terrorist activity,and thus provide decision support for the real work of "anti-terrorism".

关键词： Anti-terrorism complex networks terrorist activity network vertex centrality.

Improved time-optimal B-spline feedrate scheduling for NURBS tool paths in CNC machining

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Advances in Manufacturing 2023年第1期11卷 111-129页

作者： yang Li fu-Sheng Liang Lei Lu Cheng fan School of Mechanic Engineering Northeast Electric Power UniversityJilin132012JilinPeople’s Republic of China Jiangsu Provincial Key Laboratory of Advanced Robotics and Collaborative Innovation Center of Suzhou Nano Science and Technology College of Mechanical and Electrical EngineeringSoochow UniversitySuzhou215021JiangsuPeople’s Republic of China

Feedrate scheduling in computer numerical control(CNC)machining is of great importance to fully develop the capabilities of machine tools while maintaining the motion stability of each *** and time-optimal feedrate scheduling plays a critical role in improving the machining efficiency and precision of complex surfaces considering the irregular curvature characteristics of tool paths and the limited drive capacities of machine *** study develops a general feedrate scheduling method for non-uniform rational B-splines(NURBS)tool paths in CNC machining aiming at minimizing the total machining time without sacrificing the smoothness of feed *** feedrate profile is represented by a B-spline curve to flexibly adapt to the frequent acceleration and deceleration requirements of machining along complex tool *** time-optimal B-spline feedrate is produced by continuously increasing the control points sequentially from zero positions in the bidirectional scanning and sampling *** required number of knots for the time-optimal B-spline feedrate can be determined using a progressive knot insertion *** improve the computational efficiency,the B-spline feedrate profile is divided into a series of independent segments and the computation in each segment can be performed *** proposed feedrate scheduling method is capable of dealing with not only the geometry constraints but also high-order drive constraints for any complex tool path with little computational *** and machining experiments are conducted to verify the effectiveness and superiorities of the proposed method.

关键词： B-spline feedrate Non-uniform rational B-splines(NURBS)tool path Knot insertion Bidirectional scanning Computer numerical control(CNC)machining

De novo synthesis of atropisomeric benzofurans via Cu/SPDO complex catalyzed asymmetric formal [3 + 2] annulation

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Science China Chemistry 2025年第1期 174-180页

作者： fan-Xiao Meng Xing-Yu Wang Ka Lu Ju-Song yang fu-Min Zhang Ai-Jun Ma Bao Du Yong-Qiang Tu State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical Engineering Lanzhou University School of Chemistry and Chemical Engineering Shanghai Jiao Tong University School of Biotechnology and Health Sciences Wuyi University

Herein, the de novo synthesis of atropisomeric benzofurans through the Cu/spirocyclic-pyrrolidine-oxazoline(SPDO) complex catalyze asymmetric formal [3 + 2] cycloaddition between quinones and ynamides is explored, producing a range of structurally diverse axially chiral benzofurans in satisfactory yields with good to excellent enantioselectivities. furthermore, density functional theory calculations were applied to explain the possible reaction mechanism.

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Investigation of Maxima Assumptions in Modelling Tropical Cyclone- Induced Hazards in the South China Sea

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China Ocean Engineering 2024年第3期38卷 491-504页

作者： WEN Ze-guo WANG fu-ming WAN Jing yang fan School of Civil Engineering Sun Yat-sen University&Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China Guangdong Academy of Safety Science and Technology Guangzhou 510060China Guangdong Key Laboratory of Oceanic Civil Engineering Guangzhou 510275China Advanced Energy Science and Technology Guangdong Laboratory(yangjiang Offshore Wind Energy Laboratory) Yangjiang 529500China

The present study aims to examine the suitability of two commonly used assumptions that simplify modelling metoceanconditions for designing offshore wind turbines in the South China Sea (SCS). The first assumption assumes thatjoint N-year extreme wind and wave events can be independently estimated and subsequently combined. The secondone assumes peak wind and waves can be modelled as occurring simultaneously during a tropical cyclone (TC) *** better understand the potential TC activity, a set of 10000 years synthetic TC events are generated. The wind fieldmodel and the Mike 21 spectral wave model are employed to model the TC-induced hazards. Subsequently, theeffect of the assumptions is evaluated by analyzing the peak structural response of both monopile and semisubmersibleoffshore wind turbines during TC events. The results demonstrate that the examined assumptions are generally *** assessing the implications of these assumptions, valuable insights are obtained, which can inform andimprove the modelling of TC-induced hazards in the SCS region.

关键词： tropical cyclone numerical wave modelling hazards offshore wind turbines structural response

Overfitting effect of artificial neural network based nonlinear equalizer: from mathematical origin to transmission evolution

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Science China(Information Sciences) 2020年第6期63卷 67-79页

作者： Zheng yang fan GAO Songnian fu Ming TANG Deming LIU Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and Technology Alibaba Infrastructure Service Alibaba Group

Overfitting effect of artificial neural network(ANN) based nonlinear equalizer(NLE) leads to a trap of bit error ratio(BER) overestimation in optical fiber communication system, especially when the performance is evaluated by the commonly-used pseudo-random binary sequence(PRBS). First, we mathematically investigate the PRBS generation and Gray code mapping rules, in comparison with the use of Mersenne Twister random sequence(MTRS). Under the condition of a symbol erasure channel, we identify that ANN can recognize both the PRBS generation and symbol mapping rules, by increasing the weights of NLE at specific positions, whereas the MTRS is currently safe owing to the limited input length of current ANN based NLE. Then, we design four channel models of fiber optical transmission to experimentally examine various impairments on the evolution of overfitting effect. When both the additive white Gaussian noise(AWGN) channel and the bandwidth limited channel are considered, the mitigation of overfitting becomes possible by the use of pruned PRBS(P-PRBS) training set with removing the generation and mapping rules determined input symbols. However, as for both the chromatic dispersion(CD) uncompensated channel and the CD managed channel, the overfitting effect becomes serious, because both CD and fiber nonlinearity induced inter-symbol interference(ISI) is beneficial for ANN to identify the PRBS symbol rules. Finally,possible solutions to mitigate the overfitting effect are summarized.

关键词： artificial neural network nonlinear equalizer pseudo-random binary sequence overfitting

Data-driven offline reinforcement learning approach for quadrotor's motion and path planning

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Chinese Journal of Aeronautics 2024年第11期37卷 386-397页

作者： Haoran ZHAO Hang fu fan yang Che QU Yaoming ZHOU School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Beijing Advanced Discipline Center for Unmanned Aircraft System Beihang UniversityBeijing 100191China Tianmushan Laboratory Hangzhou 311115China

Non-learning based motion and path planning of an Unmanned Aerial Vehicle(UAV)is faced with low computation efficiency,mapping memory occupation and local optimization *** article investigates the challenge of quadrotor control using offline reinforcement *** establishing a data-driven learning paradigm that operates without real-environment interaction,the proposed workflow offers a safer approach than traditional reinforcement learning,making it particularly suited for UAV control in industrial *** introduced algorithm evaluates dataset uncertainty and employs a pessimistic estimation to foster offline deep reinforcement *** highlight the algorithm's superiority over traditional online reinforcement learning methods,especially when learning from offline ***,the article emphasizes the importance of a more general behavior *** evaluations,the trained policy demonstrated versatility by adeptly navigating diverse obstacles,underscoring its real-world applicability.

关键词： Motion planning Unmanned aerial vehicle Reinforcement learning Data-driven learning Markov decision process