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In-situ construction of novel sulfur-vacancy-rich Bi/Bi_(2)S_(3)/SnS_(2)Z-scheme heterostructure photocatalysts for efficient Cr(Ⅵ)reduction and nitrogen fixation

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Journal of Materials Science & Technology 2023年第36期167卷 237-247页

作者： Meng Lan Xiaoli Dong Nan Zheng Xiaoxin Zhang Yu Wang Xinxin Zhang school of light industry and Chemical engineering Dalian Polytechnic UniversityDalian 116034China

Highly competent and economical photocatalysts are one of the most charming targets in environmental restoration and clean production.Herein,a novel sulfur-vacancy-rich Bi/Bi_(2)S_(3)/SnS_(2)Z-scheme heterostruc-ture was constructed in situ and applied for the photoreduction Cr(VI)and nitrogen fixation.The fab-ricated Bi/Bi_(2)S_(3)/SnS_(2)-2 exhibits the optimum photoreduction Cr(VI)performance with the efficiency of 94.5%within 15 min visible light irradiation.The remarkably enhanced catalytic efficiency derived from the synergistic effect of the construction of intimate contacted interface,abundant sulfur vacancy and surface plasmon resonance(SPR)effect of metal Bi.Meanwhile,the excellent photocatalytic nitrogen fix-ation property(96.4μmol g^(-1)h^(-1))was achieved by Bi/Bi_(2)S_(3)/SnS_(2)-2 under full solar illumination because sulfur vacancy could provide sufficient catalytic sites to accelerate the adsorption and nitrogen activation.The Z-scheme heterostructure was proposed to expound the photocatalytic mechanism.This work offers a new perspective on hierarchical heterostructure with plentiful vacancies for environmental remediation and energy development.

关键词： Sulfur-vacancy-rich Bi/Bi_(2)s_(3)/SnS_(2) Z-scheme heterostructure SPR effect Cr(VI)reduction Nitrogen fixation

Rational Design of Cellulosic Triboelectric Materials for Self‑Powered Wearable Electronics

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Nano-Micro Letters 2023年第8期15卷 309-354页

作者： Xiangjiang Meng Chenchen Cai Bin Luo Tao Liu Yuzheng Shao Shuangfei Wang Shuangxi Nie school of light industry and Food engineering Guangxi UniversityNanning 530004People’s Republic of China

With the rapid development of the Internet of Things and flexible electronic technologies,there is a growing demand for wireless,sustainable,multifunctional,and independently operating self-powered wearable devices.Nevertheless,structural flexibility,long operating time,and wearing comfort have become key requirements for the widespread adoption of wearable electronics.Triboelectric nanogenerators as a distributed energy harvesting technology have great potential for application development in wearable sensing.Compared with rigid electronics,cellulosic self-powered wearable electronics have significant advantages in terms of flexibility,breathability,and functionality.In this paper,the research progress of advanced cellulosic triboelectric materials for self-powered wearable electronics is reviewed.The interfacial characteristics of cellulose are introduced from the top-down,bottom-up,and interfacial characteristics of the composite material preparation process.Meanwhile,the modulation strategies of triboelectric properties of cellulosic triboelectric materials are presented.Furthermore,the design strategies of triboelectric materials such as surface functionalization,interfacial structure design,and vacuum-assisted self-assembly are systematically discussed.In particular,cellulosic self-powered wearable electronics in the fields of human energy harvesting,tactile sensing,health monitoring,human–machine interaction,and intelligent fire warning are outlined in detail.Finally,the current challenges and future development directions of cellulosic triboelectric materials for self-powered wearable electronics are discussed.

关键词： Cellulose Triboelectric nanogenerator Triboelectric materials Self-powered sensing Wearable electronics

Cluster synchronization analysis of multi-order fractional neural networks

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2023年第5期51卷 106-111页

作者： Liu, Peng Xu, Minglin Sun, Junwei Wang, Yanfeng school of Electronic Information engineering Zhengzhou University of Light Industry Zhengzhou 450002 China

The cluster synchronization of multi-order fractional neural networks with time-varying delays was investigated．First，by utilizing the vector Lyapunov function methods for multi-order time-varying delayed systems，sufficient criteria were deduced for realizing the cluster synchronization of multi-order fractional neural networks under an efficient pinning control．Then，sufficient criteria for realizing the cluster synchronization of identical order fractional neural networks without time-delay were explored．Finally，the effectiveness of the conclusions was verified through numerical simulation．Results show that this study is the extension of existing works，which has a certain theoretical guiding significance for practical applications. © 2023 Huazhong University of Science and Technology. All rights reserved.

关键词： Time delay

Mesoporous molecular sieve confined phase change materials with high absorption,enhanced thermal conductivity,and cooling energy charging/discharging capacity

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Frontiers of Materials Science 2024年第1期18卷 1-14页

作者： Qi Zhang Chongyang Liu Xuehong Wu Xueling Zhang Jun Song school of Energy and Power engineering Zhengzhou University of Light IndustryZhengzhou 450007China

The biggest challenge for organic phase change materials(PCMs)used in cold energy storage is to maintain high heat storage capacity while reducing the leakage risk of PCMs during the phase transition process.This is crucial for expanding their applications in the more demanding cold storage field.In this study,novel formstable low-temperature composite PCMs are prepared with mesoporous materials,namely SBA-15 and CMK-3(which are prepared using the template method),as supporting matrices and dodecane as the PCM.Owing to the combined effects of capillary forces within mesoporous materials and interactions among dodecane molecules,both dodecane/SBA-15 and dodecane/CMK-3 exhibit outstanding shape stability and thermal cycling stability even after 200 heating/cooling cycles.In comparison to those of dodecane/SBA-15,dodecane/CMK-3 exhibits superior cold storage performance and higher thermal conductivity.Specifically,the phase transition temperature of dodecane/CMK-3 is-8.81℃ with a latent heat of 122.4 J·g^(-1).Additionally,it has a thermal conductivity of 1.21 W·m^(-1)·K^(-1),which is 9.45 times that of dodecane alone.All these highlight its significant potential for applications in the area of cold energy storage.

关键词： cold energy storage phase change material mesoporous molecular sieve CMK-3 SBA-15 cooling energy charging/discharging capacity

An Approach for Human Posture Recognition Based on the Fusion PSE-CNN-BiGRU Model

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Computer Modeling in engineering & Sciences 2024年第7期140卷 385-408页

作者： Xianghong Cao Xinyu Wang Xin Geng Donghui Wu Houru An school of Building and Environment engineering Zhengzhou University of Light IndustryZhengzhou450000China

This study proposes a pose estimation-convolutional neural network-bidirectional gated recurrent unit(PSECNN-BiGRU)fusion model for human posture recognition to address low accuracy issues in abnormal posture recognition due to the loss of some feature information and the deterioration of comprehensive performance in model detection in complex home environments.Firstly,the deep convolutional network is integrated with the Mediapipe framework to extract high-precision,multi-dimensional information from the key points of the human skeleton,thereby obtaining a human posture feature set.Thereafter,a double-layer BiGRU algorithm is utilized to extract multi-layer,bidirectional temporal features from the human posture feature set,and a CNN network with an exponential linear unit(ELU)activation function is adopted to perform deep convolution of the feature map to extract the spatial feature of the human posture.Furthermore,a squeeze and excitation networks(SENet)module is introduced to adaptively learn the importance weights of each channel,enhancing the network’s focus on important features.Finally,comparative experiments are performed on available datasets,including the public human activity recognition using smartphone dataset(UCIHAR),the public human activity recognition 70 plus dataset(HAR70PLUS),and the independently developed home abnormal behavior recognition dataset(HABRD)created by the authors’team.The results show that the average accuracy of the proposed PSE-CNN-BiGRU fusion model for human posture recognition is 99.56%,89.42%,and 98.90%,respectively,which are 5.24%,5.83%,and 3.19%higher than the average accuracy of the five models proposed in the comparative literature,including CNN,GRU,and others.The F1-score for abnormal posture recognition reaches 98.84%(heartache),97.18%(fall),99.6%(bellyache),and 98.27%(climbing)on the self-builtHABRDdataset,thus verifying the effectiveness,generalization,and robustness of the proposed model in enhancing human posture recognition.

关键词： Posture recognition mediapipe BiGRU CNN ELU attention

Flexible side arms of ditopic linker as effective tools to boost proton conductivity of Ni_(8)-pyrazolate metal-organic framework

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Chinese Chemical Letters 2022年第6期33卷 3227-3230页

作者： Jieying Hu Hu Zhang Zihao Feng Qian-Ru Luo Can-Min Wu Yuan-Hui Zhong Jian-Rong Li Lai-Hon Chung Wei-Ming Liao Jun He school of Chemical engineering and light industry Guangdong University of TechnologyGuangzhou 510006China

Two primitive metal-organic frameworks(MOFs),Ni L1 and Ni L2,based on Ni_(8)O_(6)-cluster and ditopic pyrazolate linkers,L1(with rigid alkyne arms)and L2(with flexible alkyne chains),were prepared.The proton conductivities of these MOFs in pristine form and imidazole-encapsulated forms,Im@Ni L1 and Im@Ni L2,were measured and compared.Upon introduction of imidazole molecules,the proton conductivity could be increased by 3 to 5 orders of magnitude and reached as high as 1.72×10^(-2)S/cm(at 98%RH and 80℃).Also,whether imidazole molecules were introduced or not,Ni_(8)O_(6)-based MOFs with L2 in general gave better proton conductivity than those with L1 signifying that flexible side arms indeed assist proton conduction probably via establishment of efficient proton-conducting channels along with formation of highly ordered domains of water/imidazole molecules within the network cavities.Beyond the active Ni_(8)O_(6)-cluster,tuning flexibility of linker pendants serves as an alternative approach to regulate/modulate the proton conductivity of MOFs.

关键词： Proton conductivity Metal-organic framework Pyrazolate linkers Nickel-oxide cluster Imidazole encapsulation

Patterning of Triblock Copolymer Film and Its Application for Surface-enhanced Raman Scattering

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Chinese Journal of Polymer Science 2017年第5期35卷 623-630页

作者： Hai-liang Huang 易国斌 Xi-hong Zu Ben-bin Zhong Hong-sheng Luo school of Chemical engineering and light industry Guangdong University of Technology

In this paper, microphase behavior of an ABC triblock copolymer, polystyrene-block-poly（2-vinylpyridine）-block- poly（ethylene oxide）, namely PS-b-P2VP-b-PEO, was systematically studied during spin-coating and solvent vapor annealing based on various parameters, including the types of the solvent, spin speed and thickness. The morphological features and the microdomain location of the different blocks were characterized by atomic force microscope （AFM） and high resolution transmission electron microscopy （HRTEM）. With increasing thickness, the order-order transition from nanopores array to the pattern of nanostripes was observed due to microdomain coarsening. These processes of pattern transformation were based on the selectivity of toluene for different blocks and on the contact time between solvent molecules and the three blocks. This work provides different templates for preparation of gold nanoparticle array on silicon wafer, which can be adopted as an active surface-enhanced Raman scattering （SERS） substrate for poly（3-hexylthiophene）（P3HT）.

关键词： Self-assembly Triblock copolymer Nanopattern Nanoparticle array Raman spectroscopy

Cognition-Driven Traffic Simulation for Unstructured Road Networks

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Journal of Computer Science & Technology 2020年第4期35卷 875-888页

作者： Hua Wang Xiao-Yu He Liu-Yang Chen Jun-Ru Yin Li Han Hui Liang Fu-Bao Zhu Rui-Jie Zhu Zhi-Min Gao Ming-Liang Xu school of Information engineering Zhengzhou UniversityZhengzhou 450001China school of Computer and Communication engineering Zhengzhou University of Light IndustryZhengzhou 450002China school of Software Zhengzhou University of Light IndustryZhengzhou 450002China

Dynamic changes of traffic features in unstructured road networks challenge the scene-cognitive abilities of drivers,which brings various heterogeneous traffic behaviors.Modeling traffic with these heterogeneous behaviors would have significant impact on realistic traffic simulation.Most existing traffic methods generate traffic behaviors by adjust-ing parameters and cannot describe those heterogeneous traffic flows in detail.In this paper,a cognition-driven traffic-simulation method inspired by the theory of cognitive psychology is introduced.We first present a visual-filtering model and a perceptual-information fusion model to describe drivers'heterogeneous cognitive processes.Then,logistic regression is used to model drivers'heuristic decision-making processes based on the above cognitive results.Lastly,we apply the high-level cognitive decision-making results to low-level traffic simulation.The experimental results show that our method can provide realistic simulations for the traffic with those heterogeneous behaviors in unstructured road networks and has nearly the same efficiency as that of existing methods.

关键词： unstructured road network traffic simulation cognition-driven heterogeneous

Gap-plasmon of Fe3O4@Ag Core-shell Nanostructures for Highly Enhanced Fluorescence Detection of Rhodamine B

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Journal of Wuhan University of Technology(Materials Science) 2017年第2期32卷 264-271页

作者：王运佳俎喜红易国斌 LUO Hongsheng HUANG Hailiang school of Chemical engineering and light industry Guangdong University of Technology

A novel gap-plasmon of Fe3O4@Ag core-shell nanoparticles for surface enhanced fluorescence detection of Rhodamine B（RB） was developed. Fe3O4@Ag core-shell nanostructures with Ag shell and Fe3O4 core were synthetized by self-assembled method with the assistance of 3-mercaptopropyl trimethoxy silane（MPTS）. To study the RB fluorescence enhanced by gap-plasmon, the fluorescence properties of RB on the substrates with different nanogap densities were systematically investigated, and the results showed that the fluorescence intensity of RB on Fe3O4@Ag core-shell NPs substrate was much stronger than that on bare glass substrate, and the fluorescence intensity was further improved by using multilayer Fe3O4@Ag core-shell NPs substrate which had higher nanogap density. Different from the mechanism that is based on the maximum overlap of the surface plasmon resonance（SPR） band and emission band, the mechanism of the fluorescence enhancement in our work is based on the localized surface plasmon（LSP） and the gap plasmon near-field coupling with the Fe3O4@Ag core-shell NPs. Besides, the detection limit obtained was as low as 1×10^（-7） mol/L, and the Fe3O4@Ag core-shell NPs substrate had high selectivity for RB fluorophores. It was demonstrated that the Fe3O4@Ag core-shell NPs substrate had activity, good stability, and selectivity for fluorescence detection of RB. And the detection of RB by the surface plasmon enhanced fluorescence was more convenient and rapid than the traditional detection methods in previous works.

关键词： gap-plasmon self-assembled Fe3O4@Ag nanoparticles core-shell fluorescence enhancement