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A surface engineering strategy for the stabilization of zinc metal anodes with montmorillonite layers toward long-life rechargeable aqueous zinc ion batteries

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Journal of Energy Chemistry 2025年第1期100卷 94-105页

作者： Wenbo Wang Ruifeng Xu Xu Zhang Peiyu Wang Bao Yang Bingjun Yang Juan Yang Kailimai Su Pengjun Ma Yanan Deng Xianfeng fan Wanjun Chen Key Laboratory for Electronic Materials College of Electrical Engineering Northwest Minzu University Resource Chemistry and Energy Materials Research Center State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences University of Chinese Academy of Sciences Institute for Materials and Processes School of Engineering University of Edinburgh

Rechargeable aqueous zinc-ion batteries （AZIBs） exhibit appreciable potential in the domain of electrochemical energy ***,there are serious challenges for AZIBs,for instance zinc dendrite growth,hydrogen evolution reaction （HER）,and corrosion side ***,we propose a surface engineering modification strategy for coating the montmorillonite （MMT） layer onto the surface of the Zn anode to tackle these issues,thereby achieving high cycling stability for rechargeable *** results reveal that the MMT layer on the surface of the Zn anode is able to provide ordered zincophilic channels for zinc ions migration,facilitating the reaction kinetics of zinc *** functional theory（DFT） calculations and water contact angle （CA） tests prove that MMT@Zn anode exhibits superior adsorption capacity for Zn2+and better hydrophobicity than the bare Zn anode,thereby achieving excellent cycling ***,the MMT@Zn||MMT@Zn symmetric cell holds the stable cycling over 5600 h at 0.5 mA cm-2and 0.125 m A h cm-2,even exceeding 1800 h long cycling under harsh conditions of 5 m A cm-2and 1.25 m A h *** MMT@Zn||V2O5full cell reaches over 3000 cycles at 2 A g-1with excellent rate ***,this surface engineering modification strategy for enhancing the electrochemical performance of AZIBs represents a promising application.

关键词： Surface engineering strategy Montmorillonite layer Protection mechanism of Zn anode Cycling stability Aqueous zinc ion batteries

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Quantum coherence of multiqubit states in correlated noisy channels

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Science China(Physics,Mechanics & Astronomy) 2020年第3期63卷 116-119页

作者： Ming-liang Hu Heng fan School of Science Xi’an University of Posts and TelecommunicationsXi’an 710121China Institute of Physics Chinese Academy of SciencesBeijing 100190China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of SciencesBeijing 100190China Songshan Lake Materials Laboratory Dongguan 523808China

Quantum coherence captures the essential nature of a quantum system[1]and can serve as a resource for quantum information processing[2].Recent studies also provide evidence that long-lived quantum coherence is crucial for overcoming the classical limits of measurement accuracy in quantum metrology[3-5].However,in practice,the unavoidable interaction of a principal system with its surroundings results in decoherence in most ***,the advantage of quantum coherence in empowering the performance of quantum tasks will disappear in a very short time interval,which remains one of the major obstacles in its potential application.

关键词： quantum system disappear

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Rheological Properties of Electrorheological Fluids Beyond and in the Original Transition Zone

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Chinese Physics Letters 2002年第9期19卷 1309-1311页

作者： fan Zhi-Kang, liang Shu-Hua School of Material Science and Engineering Xi\'an University of Technology Xi\'an 710048

We find a nonlinear relationship between the shear stress and shear rate of electrorheological (ER) fluids with aluminosilicate suspension in the original zone corresponding to low shear rates. Beyond the original zon... 详细信息

关键词： Electrorheological fluids

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Distributed solving Sylvester equations with fractional order dynamics

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Control Theory and Technology 2021年第2期19卷 249-259页

作者： Songsong Cheng Shu liang Yuan fan Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and AutomationAnhui UniversityHefei230601AnhuiChina Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing100083China

This paper addresses distributed computation Sylvester equations of the form AX+XB=C with fractional order *** partitioning parameter matrices A,B and C,we transfer the problem of distributed solving Sylvester equations as two distributed optimization models and design two fractional order continuous-time algorithms,which have more design freedom and have potential to obtain better convergence performance than that of existing first order ***,rewriting distributed algorithms as corresponding frequency distributed models,we design Lyapunov functions and prove that proposed algorithms asymptotically converge to an exact or least squares ***,we validate the effectiveness of proposed algorithms by providing a numerical example.

关键词： Fractional order calculus Distributed optimization Sylvester equation Frequency distributed model Convergence

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A Deep Reinforcement Learning-Based Power Control Scheme for the 5G Wireless Systems

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China Communications 2023年第10期20卷 109-119页

作者： Renjie liang Haiyang Lyu Jiancun fan School of Electronic and Information Engineering Xi’an Jiaotong UniversityXi’anShaanxi 710049China School of Cyber Science and Engineering Xi’an Jiaotong UniversityXi’anShaanxi 710049China

In the fifth generation(5G)wireless system,a closed-loop power control(CLPC)scheme based on deep Q learning network(DQN)is introduced to intelligently adjust the transmit power of the base station(BS),which can improve the user equipment(UE)received signal to interference plus noise ratio(SINR)to a target threshold ***,the selected power control(PC)action in DQN is not accurately matched the fluctuations of the wireless *** the experience replay characteristic of the conventional DQN scheme leads to a possibility of insufficient training in the target deep neural network(DNN).As a result,the Q-value of the sub-optimal PC action exceed the optimal *** solve this problem,we propose the improved DQN *** the proposed scheme,we add an additional DNN to the conventional DQN,and set a shorter training interval to speed up the training of the DNN in order to fully train ***,the proposed scheme can ensure that the Q value of the optimal action remains *** multiple episodes of training,the proposed scheme can generate more accurate PC actions to match the fluctuations of the wireless *** a result,the UE received SINR can achieve the target threshold range faster and keep more *** simulation results prove that the proposed scheme outperforms the conventional schemes.

关键词： reinforcement learning closed-loop power control(CLPC) signal-to-interference-plusnoise ratio(SINR)

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Management of persistent pulmonary hypertension in newborns with ECMO support: a single center's experience

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World Journal of Pediatrics 2019年第1期15卷 100-103页

作者： Li-fen Ye Yong fan Qiang Shu Ru Lin Heart Institute Children's HospitalZhejiang University School of MedicineHangzhou 310000China

Background To summarize the experience of management of persistent pulmonary hypertension of the newborn (PPHN) with extracorporeal membrane oxygenation (ECMO) *** We presented three neonates with PPHN supported by ECMO in our *** records and patient management notes were retrospectively *** For two neonates with congenital diaphragmatic hernia (CDH),diaphragm repair surgery was done under ECMO *** patient was weaned from ECMO after 73 hours,and recovered well at the last follow-up after 1 *** other patient was weaned from ECMO after 167 hours,and he died from septic shock 21 days after *** the neonate with idiopathic PPHN,ECMO was withdrawn *** ECMO is an effective rescue means for refractory *** intervention timing,accurate coagulation,and volume management are important.

关键词： Extracorporeal membrane oxygenation Persistent pulmonary hypertension of the newborn

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Establishment of human cerebral organoid systems to model early neural development and assess the central neurotoxicity of environmental toxins

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Neural Regeneration Research 2025年第1期20卷 242-252页

作者： Daiyu Hu Yuanqing Cao Chenglin Cai Guangming Wang Min Zhou Luying Peng Yantao fan Qiong Lai Zhengliang Gao Fundamental Research Center Shanghai Yangzhi Rehabilitation Hospital(Shanghai Sunshine Rehabilitation Center)School of MedicineTongji UniversityShanghaiChina Institute of Geriatrics(Shanghai University) Affiliated Nantong Hospital of Shanghai University(The Sixth People’s Hospital of Nantong)Shanghai University School of MedicineNantongJiangsu ProvinceChina Shanghai Engineering Research Center of Organ Repair Shanghai University School of MedicineShanghaiChina Key Laboratory of Arrhythmias Ministry of EducationShanghai East HospitalSchool of MedicineTongji UniversityShanghaiChina

Human brain development is a complex process,and animal models often have significant *** address this,researchers have developed pluripotent stem cell-derived three-dimensional structures,known as brain-like organoids,to more accurately model early human brain development and *** enable more consistent and intuitive reproduction of early brain development,in this study,we incorporated forebrain organoid culture technology into the traditional unguided method of brain organoid *** involved embedding organoids in matrigel for only 7 days during the rapid expansion phase of the neural epithelium and then removing them from the matrigel for further cultivation,resulting in a new type of human brain organoid *** cerebral organoid system replicated the temporospatial characteristics of early human brain development,including neuroepithelium derivation,neural progenitor cell production and maintenance,neuron differentiation and migration,and cortical layer patterning and formation,providing more consistent and reproducible organoids for developmental modeling and toxicology *** a proof of concept,we applied the heavy metal cadmium to this newly improved organoid system to test whether it could be used to evaluate the neurotoxicity of environmental *** organoids exposed to cadmium for 7 or 14 days manifested severe damage and abnormalities in their neurodevelopmental patterns,including bursts of cortical cell death and premature *** exposure caused progressive depletion of neural progenitor cells and loss of organoid integrity,accompanied by compensatory cell proliferation at ectopic *** convenience,flexibility,and controllability of this newly developed organoid platform make it a powerful and affordable alternative to animal models for use in neurodevelopmental,neurological,and neurotoxicological studies.

关键词： cadmium cell death cell proliferation cortical development environmental toxins neural progenitor cells neurogenesis neurotoxicology organoids stem cells

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Synthesis of NaYF_(4):Yb,Er upconversion nanoparticle-based optomagnetic multifunctional composite for drug delivery system

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Journal of Rare Earths 2021年第5期39卷 579-586页

作者： Xuhua liang Jun fan Yanyan Zhao Ruyi Jin College of Biology Pharmacy and Food Engineering Shangluo UniversityShangluo 726000China Shaanxi Qinling Industrial Technology Research Institute of Special Biological Resources Shangluo 726000China College of Food Science and Technology Northwest UniversityXi'an 710069China College of Pharmacy Shaanxi University of Chinese MedicineXianyang 712046China

Optomagnetic multifunctional composite has attracted much attention in recent years because of its promising application prospect in bioimaging,analysis,detection,disease diagnosis,and targeted drug *** explore a dual-targeted therapy for cancer,a novel class of optomagnetic multifunctional composite(UCNP-Fe_(3)O_(4)@MSNs-FA)was successfully synthesized by using upconversion nanoparticles(UCNPs)as nucleus,embedding Fe_(3)O_(4)nanoparticles into the SiO_(2)coating layer,and modifying the surface with folic acid(FA)to strengthen its tumor targeting *** properties of the composite were extensively *** obtained composite possesses excellent upconversion fluorescence,good dispersion,high specific surface area(229.347 m^(2)/g),and saturation magnetization value(10.9 A m^(2)/g).Its drug loading co ntent and encapsulation efficiency can reach as high as 14.2%and 47.3%,respectively,using doxorubicin hydrochloride(DOX)as model *** DOX-UCNP-Fe_(3)O_(4)@MSNs-FA system shows excellent sustained drug release and strong pH-dependent performance,in which the drug release would be accelerated at the slightly acidic microenvironment in the tumor;thus,the system can realize the targeted treatment of *** viability of L929 cells demonstrates the good biocompatibility of the ***,DOX-UCNP-Fe_(3)O_(4)@MSNs-FA exhibits specific cytotoxicity to folate receptor(FR)positive tumor cells,whereas DOX has weak toxicity to FR-negative ***,the as-prepared UCNP-Fe_(3)O_(4)@MSNs-FA can potentially be used as an anti-cancer targeted drug delivery system and enhance the therapeutic efficacy against FR-positive tumor cells.

关键词： Optomagnetic composite Targeted drug delivery system pH-responsive Upconversion luminescence Rare earths

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Scattering-based hybrid network for facial attribute classification

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Frontiers of Computer Science 2024年第3期18卷 105-116页

作者： Na LIU fan ZHANG liang CHANG Fuqing DUAN School of Artificial Intelligence Beijing Normal UniversityBeijing 100875China

Face attribute classification(FAC)is a high-profile problem in biometric verification and face *** recent research has been devoted to extracting more delicate image attribute features and exploiting the inter-attribute correlations,significant challenges still *** scattering transform(WST)is a promising non-learned feature *** has been shown to yield more discriminative representations and outperforms the learned representations in certain *** to the image classification task,WST can enhance subtle image texture information and create local deformation *** paper designs a scattering-based hybrid block,to incorporate frequency-domain(WST)and image-domain features in a channel attention manner(Squeezeand-Excitation,SE),termed WS-SE *** with CNN,WS-SE achieves a more efficient FAC performance and compensates for the model sensitivity of the small-scale affine *** addition,to further exploit the relationships among the attribute labels,we propose a learning strategy from a causal *** cause attributes defined using the causalityrelated information can be utilized to infer the effect attributes with a high confidence *** analysis experiments demonstrate the effectiveness of our model,and our hybrid model obtains state-of-the-art results in two public datasets.

关键词： wavelet scattering transform causality-related learning facial attribute classification

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Limits on sequential sharing of nonlocal advantage of quantum coherence

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Science China(Physics,Mechanics & Astronomy) 2022年第6期65卷 26-35页

作者： Ming-liang Hu Jia-Ru Wang Heng fan School of Science Xi’an University of Posts and TelecommunicationsXi’an 710121China Institute of Physics Chinese Academy of SciencesBeijing 100190China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of SciencesBeijing 100190China Songshan Lake Materials Laboratory Dongguan 523808China

Sequential sharing of nonlocal correlation is inherently related to its *** address the question as to how many observers can share the nonlocal advantage of quantum coherence(NAQC)in a(d×d)-dimensional state,where d is a prime or a power of a *** first analyze the trade-off between disturbance and information gain of the general d-dimensional unsharp *** in a scenario where multiple Alices perform unsharp measurements on one party of the state sequentially and independently and a single Bob measures coherence of the conditional states on the other party,we show that at most one Alice can demonstrate NAQC with *** limit holds even when considering the weak measurements with optimal pointer *** results may shed light on the interplay between nonlocal correlations and quantum measurements on high-dimensional systems and the hierarchy of different quantum correlations.

关键词： quantum coherence quantum correlation unsharp measurement

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