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Near-infrared responsive polycaprolactone coatings for magnesium implants: Photodynamic antibacterial and controllable dissolution

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Journal of Magnesium and Alloys 2025年第4期13卷 1671-1684页

作者： Liu, Xi Pan, Jinglong Lv, You Wang, Xu Ma, Xiaoze Zhang, Xinxin Cai, Guangyi Dong, Zehua Hubei Key Laboratory of Material Chemistry and Service Failure School of Chemistry and Chemical Engineering Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun130022 China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan430033 China

Magnesium implants have received widespread attention in orthopaedic surgery. However, the mechanical degradation and concurrent inflammation caused by the rapid corrosion of Mg limits their applications. In this study, a kind of unique core-shell heterojunction CuS@PPy nanostructures was synthesized and then incorporated in polycaprolactone (PCL) to construct an intelligent coating (CuS@PPy/PCL) on micro-arc-oxidized Mg implants. The PCL-based coating can realize near-infrared (NIR)-driven antibacterial and controllable Mg dissolution according to different bone healing stages. At the beginning of bone remodelling, the coating exhibits promising antibacterial properties with 99.67% and 99.17% efficacy against S. aureus and E. coli, respectively, thanks to the singlet oxygen (1O2) and alkoxyl radicals (RO·) generated by the photodynamic effect of CuS@PPy heterojunction under low-power NIR light (1.5 W/cm2). In the bone reparative stage, the PCL-based coating can maintain high corrosion resistance to meet the mechanical requirements of Mg implants in human body fluid. However, after the complete rehabilitation of bones, through a high-power (2 W/cm2) NIR light, the PCL-based coating changed from an elastic to a viscous flow state (44.7 °C) under the photothermal effects of CuS@PPy, leading to quick degradation of the PCL-based coating and following accelerating dissolution of the Mg implant (avoiding secondary surgery). Hopefully, this NIR-responsive coating may provide an innovative method for the antibacterial and controllable dissolution of Mg implants. © 2024

关键词： Corrosion resistance

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Two-stage deep complex gated convolution attention network for multi-channel noise suppression

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Signal, Image and Video Processing 2025年第7期19卷 1-11页

作者： Luo, Liyan Fan, Xiaoqing Wang, Mei Liu, Zhenghong Zhang, Yulang Ministry of Education Key Laboratory of Cognitive Radio and Information Processing Guilin University of Electronic Technology Guilin541006 China School of Information Science Engineering Guilin University of Technology Guilin541004 China

Modeling the correlation information in the complex spectrum for multi-channel noise suppression remains a significant challenge. Inadequate modeling can lead to the loss of phase information, which results in a decline in signal quality. Moreover, accurately estimating statistical information such as the spectrum or masks is difficult, often resulting in residual noise in the processed signals. To address these challenges, we propose a two-stage deep complex gated convolution attention network (DC-GCAN). The proposed DC-GCAN incorporates a complex Conformer and a complex encoder-decoder with a gated attention mechanism, which effectively models and enhances the complex spectrum, improving the exchange of information between the encoder and decoder. Our two-stage strategy consists of a beamforming stage and a post-filtering stage. In the beamforming stage, we combine the DC-GCAN with the minimum variance distortionless response (MVDR) beamformer to perform spatial filtering of multi-channel signals. In the post-filtering stage, another DC-GCAN is used to further reduce residual noise. Experimental results demonstrate that the proposed method outperforms several competing models on both synthetic speech and non-speech datasets. This indicates that the method can effectively enhance the quality and intelligibility of signals, and is also suitable for applications where the target sound is non-speech. Furthermore, ablation studies confirm the effectiveness of each individual module in the proposed architecture. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Beamforming

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Archive-based multiple feature construction method using adaptive genetic programming

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Memetic Computing 2025年第2期17卷 1-16页

作者： Jia, Kaixuan Zhang, Fan Gao, Xiaoying Ma, Jianbin College of Information Science and Technology Hebei Agricultural University Baoding071001 China College of Information Science and Technology Hebei Key Laboratory of Agricultural Big Data Hebei Agricultural University Baoding071001 China School of Engineering and Computer Science Victoria University of Wellington Wellington6140 New Zealand

The quality of features is an important factor that affects the classification performance of machine learning algorithms. Feature construction based on Genetic Programming (GP) can automatically create more discriminative features, sometimes greatly improving classification performance. However, constructing a single feature or a small number of features may make the linkage information between labels and features insufficient, resulting in poor classification performance, so we introduce a multi-feature construction method. In addition, premature convergence of the GP may also affect classification performance. This paper proposes an archive-based multiple feature construction method which uses elite archive strategy to preserve and select effective constructed features, and employs an adaptive strategy for GP to adjust the crossover and mutation probabilities based on fitness values. Experiments on ten datasets show that our proposed archive-based multiple feature construction method without using adaptive GP can significantly improve the classification performance compared with traditional single feature construction method, and the classification performance can be maintained or further improved by adding the adaptive strategy. The comparisons with four state-of-the-art techniques show that our proposed method can significantly achieve better classification performance. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Genetic programming

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Voltage/temperature responsive multimode reflective display devices for information encryption and smart windows

Voltage/temperature responsive multimode reflective display ...

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2024 International Conference on Optoelectronic Materials and Devices, ICOMD 2024

作者： Zhang, Tianning Zheng, Xingke Ye, Yun Chen, Enguo Guo, Tailiang College of Physics and Information Engineering Fuzhou University Fuzhou China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou China

ISBN: (数字)9781510689046

ISBN: (纸本)9781510689039

A cholesteric liquid crystal (CLC) reflective display is a device that employs CLC to reflect external ambient light, thereby facilitating the transfer of information. However, traditional CLC reflective displays exhibit a relatively slow response speed and are unable to be displayed in dark environments. Quantum dots (QDs), which are nanoparticles with excellent luminescence performance, can be doped to enhance device performance and the display effect. This paper proposes a multimode reflective display device (MRDE) that can respond rapidly to temperature and low-frequency AC voltage, and can realise four modes of display: reflective mode, transmissive mode, scattering mode and fluorescent mode. These modes can be converted to enhance the display effect and expand the device's application range in diverse scenarios. In reflective mode, MRDE is capable of shifting between reflective, scattering mode and transmissive modes in response to changes in temperature and voltage, and of encrypting and decrypting information. In fluorescent mode, the device is capable of displaying in dim environments, and the emission wavelength can be red-shifted from 628 nm to 636 nm within the temperature range of 248 K to 373 K. Additionally, it can provide an early warning for low and high temperature environments. The device is capable of providing early warning and encryption of information in low and high temperature environments. This provides a theoretical basis and guidance for the preparation of new devices with improved display performance, multifunctional integration, and temperature-responsive information encryption. © 2025 SPIE.

关键词： Cholesteric liquid crystals

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Wavelength-Controlled Triple-Mode Photoconductance-Polarity-Switching Field Effect Transistor for Secure Time-Variable Encrypted Optical Communication

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ACS Nano 2025年第19期19卷 18607-18619页

作者： Li, Ke-Han Zhang, Xiao-Yang Hu, Li-Yu Su, Dan Liu, Zhao-Guo Jin, Nan-Xi Yang, Zong-Ru Li, Xuan Bi, Xiao-Ying Wu, Jing-Yuan Song, Yuan-Jun Zhang, Tong Joint International Research Laboratory of Information Display and Visualization School of Electronic Science and Engineering Southeast University Nanjing210096 China Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology Ministry of Education School of Instrument Science and Engineering Southeast University Nanjing210096 China Suzhou Key Laboratory of Metal Nano-Optoelectronic Technology Southeast University Suzhou Campus Suzhou215123 China Department of Optoelectronic Science and Engineering College of Science Donghua University Shanghai201620 China

The controllable polarity switch between positive photoconductance (PPC) and negative photoconductance (NPC) in a photodetector is essential for the realization of versatile, innovative applications. Incorporating polarity-switching photoconductance with other response states, yet still posing challenges, allows for encoding multidimensional distinguishable optical information within a single device, which holds great potential for broadening application scope. Herein, three wavelength-controlled photoresponse modes are present in MoS2-based field effect transistor with lightly doped Si substrate by combining positive/negative photocurrent polarities with slow/fast response speeds. Specifically, a slow PPC response at 520 nm, along with fast bipolar infrared responses (NPC at 980 nm, PPC at 1310 nm), is integrated within a single MoS2 device. The opposite sub-bandgap infrared photoresponses are ascribed to the synergism of the bolometric effect and interfacial photogating, influenced by electrons photogenerated in Si. Based on the triple polarity-switching characteristic of the MoS2 device, the triple-channel real-time secure optical communication system with time-variable encryption algorithms is demonstrated, exponentially increasing the difficulty of brute-force cracking by synchronizing the time-variable key channel with two information channels. This work not only enhances the understanding of sub-bandgap photoresponse mechanisms in 2D material photodetectors but also offers promising avenues for the development of optoelectronics-assisted wireless communication technologies. © 2025 American Chemical Society.

关键词： Photodetectors

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Exploring NetGPT-Enabled Dynamic Resource Management for Mobile D2D in Industrial IoT

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IEEE Network 2025年第3期39卷 37-46页

作者： Chen, Baotong Liang, Haiquan Wan, Jiafu Wang, Chuangjian Yan, Xuguo Xia, Xuhui AlQahtani, Salman A. Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan430081 China Wuhan University of Science and Technology Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan430081 China South China University of Technology School of Mechanical and Automotive Engineering Guangzhou510641 China King Saud University College of Computer and Information Sciences Computer Engineering Department Riyadh17748 Saudi Arabia

AI large model-centered intelligent applications holds promises to revolutionize network quality of service (QoS). therefore, the deployment and utilization of such models in the Industrial Internet of Things (Industrial IoT) are considered as an increasingly pressing priority. In particular, the integration of Generative AI (GenAI) into Industrial IoT, with a focus on establishing a robust NetGPT network architecture that leverages Mobile Edge Computing (MEC) and Device-to-Device (D2D) collaboration has been subjected to significant academic attention. Accordingly, this paper explores the optimization of dynamic network resource management in mobile D2D networks through the innovative application of NetGPT. First, a NetGPT-based system architecture for network resource management is proposed. Thereafter, mobile D2D network model is established with a detailed account of NetGPT training and NetGPT fusion. Finally, the workload scheduling strategy in industrial IoT based on Stackelberg game model is formulated though multi-agent GenAI and present the NetGPT-based orchestration of task co-offloading for mobile network nodes. Deep reinforcement learning is implemented at the edge side to compete and cooperate in addressing complex network problems, which enabling GenAI nodes in a co-offloading and load balancing manner. The implementation of NetGPT-enhanced D2D networks has been conducted in a Mininet simulation environment. Compared to traditional network solutions, our findings show significant improvements in several key performance indicators, including network response latency, task processing capacity, and transmission power. © 1986-2012 IEEE.

关键词： Quality of service

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Si/Si3N4/Ag hybrid nanocavity: a platform for enhancing light-matter interaction

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Photonics Research 2025年第3期13卷 709-720页

作者： TIANQI PENG ZHUO WANG SHULEI LI LIDAN ZHOU SHIMEI LIU YUHENG MAO MINGCHENG PANMAI WEICHEN HE SHENG LAN Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices School of Optoelectronic Science and EngineeringSouth China Normal University School of Optoelectronic Engineering Guangdong Polytechnic Normal University State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen University School of Electrical and Electronic Engineering Nanyang Technological University GBA Branch of Aerospace Information Research Institute Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Terahertz Quantum Electromagnetics

High-index dielectric nanoparticles supporting strong Mie resonances, such as silicon （Si） nanoparticles, provide a platform for manipulating optical fields at the subwavelength scale. However, in general, the quality factors of Mie resonances supported by an isolated nanoparticle are not sufficient for realizing strong light-matter interaction. Here, we propose the use of dielectric-metal hybrid nanocavities composed of Si nanoparticles and silicon nitride/silver （Si3N4∕Ag） heterostructures to improve light-matter interaction. First, we demonstrate that the nonlinear optical absorption of the Si nanoparticle in a Si∕Si3N4∕Ag hybrid nanocavity can be greatly enhanced at the magnetic dipole resonance. The Si∕Si3N4∕Ag nanocavity exhibits luminescence burst at substantially lower excitation energy （～20.5 pJ） compared to a Si nanoparticle placed on a silica substrate （～51.3 pJ）. The luminescence intensity is also enhanced by an order of magnitude. Second, we show that strong exciton-photon coupling can be realized when a tungsten disulfide （WS2） monolayer is inserted into a Si∕Si3N4∕Ag *** such a system is excited by using s-polarized light, the optical resonance supported by the nanocavity can be continuously tuned to sweep across the two exciton resonances of the WS2monolayer by simply varying the incident angle. As a result, Rabi splitting energies as large as ～146.4 meV and ～110 meV are observed at the A-and B-exciton resonances of the WS2monolayer, satisfying the criterion for strong exciton-photon *** proposed nanocavities provide, to our knowledge, a new platform for enhancing light-matter interaction in multiple scenarios and imply potential applications in constructing nanoscale photonic devices.

关键词： Light matter interactions Nonlinear absorption Optical absorption Optical fields Photonic devices Q factor

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Artificial sensory neurons and their applications

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Journal of Semiconductors 2025年第1期46卷 108-128页

作者： Jiale Shao Hongwei Ying Peihong Cheng Lingxiang Hu Xianhua Wei Zongxiao Li Huanming Lu Zhizhen Ye Fei Zhuge Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingbo 315201China School of Electronic and Information Engineering Ningbo University of TechnologyNingbo 315211China State Key Laboratory of Environment-friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China Institute of Wenzhou Zhejiang UniversityWenzhou 325006China State Key Laboratory of Silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200072China

With the rapid development of artificial intelligence(AI)technology,the demand for high-performance and energyefficient computing is increasingly *** limitations of the traditional von Neumann computing architecture have prompted researchers to explore neuromorphic computing as a *** computing mimics the working principles of the human brain,characterized by high efficiency,low energy consumption,and strong fault tolerance,providing a hardware foundation for the development of new generation AI *** neurons and synapses are the two core components of neuromorphic computing *** perception is a crucial aspect of neuromorphic computing,where artificial sensory neurons play an irreplaceable role thus becoming a frontier and hot topic of *** work reviews recent advances in artificial sensory neurons and their ***,biological sensory neurons are briefly ***,different types of artificial neurons,such as transistor neurons and memristive neurons,are discussed in detail,focusing on their device structures and working ***,the research progress of artificial sensory neurons and their applications in artificial perception systems is systematically elaborated,covering various sensory types,including vision,touch,hearing,taste,and ***,challenges faced by artificial sensory neurons at both device and system levels are summarized.

关键词： artificial sensory neurons artificial perception systems neuromorphic computing artificial intelligence

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High spatial resolution and wide strain measurement of optical frequency domain reflectometry based on correlation spectrum self-compensation method

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Journal of Lightwave technology 2025年第11期43卷 5352-5357页

作者： Qu, Shuai Zhang, Qihao Bai, Shuo Guan, Chen Gao, Xibao Jiang, Pengbo Qi, Haifeng Shang, Ying Lv, Jingsheng Jiang, Wenjie Ni, Jiasheng Qilu University of Technology Shandong Academy of Sciences Laser Institute International School for Optoelectronic Engineering Jinan250104 China Hubei University of Automotive Technology School of Mathematics Physics and Optoelectronic Engineering Shiyan Key Laboratory of Quantum Information and Precision Optics Shiyan442002 China Linyi University School of Information Science and Engineering Linyi276000 China

The strain measurement range of an optical frequency domain reflectometry (OFDR) system is constrained by spatial resolution, which is affected by shifts in the distance domain. In this paper, a novel correlation spectrum self-compensation scheme based the reference signal is introduced, which improves the alignment between the reference and measurement signals along the sensing fiber. This contrasts with traditional cross-correlation by directly analyzing the spectrum shifts between the reference and measurement signals. The spatial mismatch caused by overstretching of the fiber can be suppressed with the spatial moving of the reference signal so that the trade-off between spatial resolution and wide strain measurement range can be overcame. Experimental results demonstrate a strain gradient range from 1000μϵ to 10000μϵ free of outliers with a spatial resolution of 2mm. The proposed method offers a new approach to simultaneously achieve wide strain measurement and high spatial resolution in OFDR systems. This marks a significant step forward in high-performance distributed strain sensing system, particularly for applications requiring both broad strain measurement and enhanced spatial resolution. © 2025 IEEE. All rights reserved.

关键词： Image resolution

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Spatiotemporal characteristics of soil moisture memory: an integrated analysis using multiple metrics and datasets

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Climate Dynamics 2025年第5期63卷 1-15页

作者： Wei, Jiangfeng Song, Renjie State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing 210044 China School of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing 210044 China

The ability of soil moisture to memorize past climatic anomalies—known as soil moisture memory (SMM)—is a potential factor influencing weather and climate predictions. However, our understanding of its spatiotemporal characteristics remains inadequate. In this study, we compared the boreal warm season (April–September) surface and root zone SMM across five gridded global datasets using metrics of lagged autocorrelation time scale, average duration of dry/wet anomalies, and stored precipitation fraction. Research revealed significant spatial heterogeneity in SMM, with generally higher SMM in drier regions. The SMMs from Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) and the stored precipitation fraction method diverge more from those of other datasets and metrics. Globally, SMM tends to be greater during El Niño years compared to La Niña years, which is linked to the generally drier climate conditions typical of El Niño phases. Comparison with in situ data reveals that the gridded datasets are generally consistent with observations in terms of soil moisture variability and memory. This study provides a reference for the spatiotemporal features of SMM, contributing to model evaluation and climate prediction. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： ERA5 GLDAS GLEAM MERRA-2 Soil moisture memory Spatiotemporal variation

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