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Explosive synchronization of multi-layer complex networks based on inter-layer star network connection

Chinese Physics B 2021年第12期30卷 264-270页

作者： Yan-Liang Jin Run-Zhu Guo Xiao-Qi Yu Li-Quan Shen Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200072China School of Communication and Information Engineering(SCIE) Shanghai UniversityShanghai 200000China

Explosive synchronization(ES)is a first-order transition phenomenon that is ubiquitous in various physical and biological *** recent years,researchers have focused on explosive synchronization in a single-layer network,but few in multi-layer *** paper proposes a frequency-weighted Kuramoto model in multi-layer complex networks with star connection between layers and analyzes the factors affecting the backward critical coupling strength by both theoretical analysis and numerical *** results show that the backward critical coupling strength of each layer network is influenced by the inter-layer interaction strength and the average *** number of network layers,the number of nodes,and the network topology can not directly affect the synchronization of the *** the inter-layer interaction strength can prevent the emergence of explosive synchronization and increasing the average degree can promote the generation of explosive synchronization.

关键词： explosive synchronization Kuramoto model multi-layer networks

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Improving the Electrochemical Performance of LiNi0.5Co0.2Mn0.3O2 via Surface Modification with Li1.3Al0.3Ti1.7(PO4)3 Coating

SSRN

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SSRN 2025年

作者： Yao, Nianchun Zhang, Min He, Yulin Cao, Keyin Li, Ying Wang, Ziqiang Faculty of Intelligent Engineering Technology Jiangsu Vocational College of Finance & Economics Jiangsu Huai’an223003 China School of Materials Science and Engineering Laboratory for Microstructures Shanghai University Shanghai200072 China School of Computer and Communication Jiangsu Vocational College of Electronics and Information Jiangsu Huaian223003 China Huai’an Technology Institute of Advanced Energy Materials 19 Meigao Road Huai’an223005 China Jiangsu Vocational College of Finance and Economics China

In this paper, a simple process has been developed for the synthesis of LiNi0.5Co0.2Mn0.3O2 by Li1.3Al0.3Ti1.7(PO4)3 (LATP)-coated and the electrochemical characteristics have been optimized by adjustment of the LATP content for the half-cells and full-cells. LATP as a superior Li-ion conductive transition layer, is introduced to coat LiNi0.5Co0.2Mn0.3O2 to mitigate polarization and enhance cycling performance at high temperature (50°C) too . X-ray diffraction (XRD) indicates that all samples have good alpha-NaFeO2 layered structure. Cycling performance of half and full batteries was tested at room temperature and at 50°C. The results show that 2wt% LATP-coated sample exhibits the best electrochemical performance. EIS and CV analysis of LiNi0.5Co0.2Mn0.3O2 show a reduction in charge transfer resistance. The coefficient of diffusion of the lithium ions is increased in the LATP-coated sample and the rate capability is also enhanced by lithium-ion low charge transfer impedance as well as its high ion diffusion coefficient. © 2025, The Authors. All rights reserved.

关键词： Diffusion coatings

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Theoretical aspects and sensing demonstrations of cone-shaped inwall capillary-based microsphere resonators

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Photonics Research 2017年第5期5卷 507-511页

作者： XIAOBEI ZHANG YONG YANG HUAWEN BAI JIAWEI WANG MING YAN HAI XIAO TINGYUN WANG Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data ScienceSchool of Communication and Information Engineering Shanghai University Department of Electrical and Computer Engineering Clemson University

In this paper, a detailed theoretical study on the characteristics of cone-shaped inwall capillary-based microsphere resonators is described and demonstrated for sensing applications. The maximum, minimum, slope, contrast, and width of the Fano resonance are analyzed. As the transmission coefficient of the capillary resonator increases, the absolute value of the slope of Fano resonances increases to reach its maximum, which is useful for sensors with an ultra-high sensitivity. There occurs another phenomenon of electromagnetically induced transparency when the reflectivity at the capillary–environment interface is close to 100%. We also experimentally demonstrated its capability for temperature and refractive index sensing, with a sensitivity of 10.9 pm∕°C and 431 d B∕RIU basedon the Fano resonance and the Lorentzian line shape, respectively.

关键词： In Theoretical aspects and sensing demonstrations of cone-shaped inwall capillary-based microsphere resonators As

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NOMA-Oriented Spectrum Sensing for Joint HAP and HEO Non-Terrestrial Uplink communications

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IEEE Internet of Things Journal 2025年

作者： Xu, Tianheng Zhu, Jie Xu, Yinjun Peng, Pei Chen, Xianfu Wu, Qingqing Niyato, Dusit Chinese Academy of Sciences Shanghai Advanced Research Institute Shanghai201210 China University of Chinese Academy of Sciences Beijing100049 China Nanjing University of Posts and Telecommunications School of Telecommunication and Information Engineering Jiangsu Nanjing210003 China Shenzhen CyberAray Network Technology Company Ltd Guangdong Shenzhen518038 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai Shanghai200240 China Nanyang Technological University College of Computing and Data Science Singapore639798 Singapore

Non-Terrestrial Networks (NTNs), as one core infrastructure of the sixth-generation (6G) communication technology, integrate heterogeneous nodes, such as High Earth Orbit (HEO) satellites, to achieve three-dimensional ubiquitous connectivity. However, NTNs face with spectrum scarcity, imposing stringent demands on spectral efficiency and interference management. To address these challenges, we propose a NOMA-oriented spectrum sensing technique for uplink scenarios, where High-Altitude Platforms (HAPs) serve as dynamic aerial nodes for opportunistic transmission within HEO coverage. Specifically, we derive multi-user sensing thresholds to optimize detection accuracy and suppress false alarms. Numerical simulations demonstrate the technique achieves a 33.5% throughput gain over benchmarks at 10 dB and maintains satisfactory performance across PUs’ varying elevation angles and transmission willingness. © 2014 IEEE.

关键词： Signaling

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PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implicit Variables 2nd

PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implic...

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2nd International Conference on Applied Intelligence, ICAI 2024

作者： Liu, Yixin Fan, Yueqin Li, Zhipeng Zhang, Qinhu Big Data and Intelligent Computing Research Center Guangxi Academy of Science Nanning530007 China School of Mechanical Engineering Guangxi University Nanning530004 China Ningbo Institute of Digital Twin Eastern Institute of Technology Ningbo315201 China Institute for Regenerative Medicine Medical Innovation Center and State Key Laboratory of Cardiology School of Medicine Shanghai East Hospital Tongji University Shanghai200123 China College of Advanced Agricultural Sciences Zhejiang Agriculture and Forestry University Hangzhou311300 China

ISBN: (纸本)9789819619061

In the field of drug discovery and development, deep learning techniques have become a powerful tool to accelerate the discovery and development of new drugs. In the design and optimization of lead molecules, generative adversarial network and graph neural network are one of the prime techniques for accelerating research and development, because the former is based on the idea of two-player game to learn drug features to generate effective molecules, while the unstructured inputs of the latter are well-suited for the analysis of molecular data. Therefore, this study develops a new graph generative adversarial model, called PreZ-DGGAN, by inserting the graph neural network layer into the generative adversarial network. Within PreZ-DGGAN, the latent variable input of the generator is pre-learned by an improved graph variational autoencoder, which effectively avoids the mode collapse of the generative adversarial network, whereas the hidden layer of the discriminator is graph neural network layer, which is able to better learn the real molecules and judge the generated molecules as true or false. Experiments on two molecule datasets show that the molecules generated by PreZ-DGGAN have higher validity (100% on average) and uniqueness (91.5% on average), and the generated molecules are more diverse in structure. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Generative adversarial networks

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Conditional Generative Modeling for Amorphous Multi-Element Materials

arXiv

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arXiv 2025年

作者： Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast configurational space. Traditional modeling struggles to capture the intricate short-range order that dictates their stability and functionality. We here introduce ApolloX, a pioneering predictive framework for amorphous multi-element materials, establishing a new paradigm by integrating physics-informed generative modeling with particle swarm optimization, using chemical short-range order as an explicit constraint. By systematically navigating the disordered energy landscape, ApolloX enables the targeted design of thermodynamically stable amorphous configurations. It accurately predicts atomic-scale arrangements, including composition-driven metal clustering and amorphization trends, which are well-validated by experiments, while also guiding synthesis by leveraging sluggish diffusion to control elemental distribution and disorder. The resulting structural evolution, governed by composition, directly impacts catalytic performance, leading to improved activity and stability with increasing amorphization. This predictive-experimental synergy transforms the discovery of amorphous materials, unlocking new frontiers in catalysis, energy storage, and functional disordered systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Amorphization

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The Acquisition of Sand Vibration Information in Hinterland of Desert Based on advanced Remote Sensing System and Network Technologies

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Journal of shanghai Jiaotong university(science) 2018年第1期23卷 28-32页

作者：马鑫邓顺戈李新碗 State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering University of Michigan-Shanghai Joint Institute Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong UniversityShanghai 200240China

The deep understanding on sand and sand dunes scale can be useful to reveal the formation mechanism of the sandstorm for early sandstorm forecast. The current sandstorm observation methods are mainly based on conventional meteorological station and satellites remote sensing, which are difficult to acquire sand scale information. A wireless sensing network is implemented in the hinterland of desert, which includes ad hoc network,sensor, global positioning system(GPS) and system integration technology. The wireless network is a three-layer architecture and daisy chain topology network, which consists of control station, master robots and slave *** three robots including one master robot and its two slave robots forms an ad hoc network. Master robots directly communicate with radio base station. Information will be sent to remote information center. data sensing system including different kinds of sensors and desert robots is developed. A desert robot is designed and implemented as unmanned probing movable nodes and sensors' carrier. A new optical fiber sensor is exploited to measure vibration of sand in particular. The whole system, which is delivered to the testing field in hinterland of desert(25 km far from base station), has been proved efficient for data acquisition.

关键词： sandstorm sand-scale information optical fiber sensor desert robot wireless sensor network

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Enhanced Deduplication Protocol for Side Channel in Cloud Storages

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International Journal of Network Security 2021年第2期23卷 270-277页

作者： Ouyang, Jie Zhang, Huiran Hu, Hongqing Wei, Xiao Dai, Dongbo School Computer Engineering and Science Shanghai University Shanghai200444 China Shanghai Institute for Advanced Communication and Data Science Shanghai200444 China Materials Genetics Institute Shanghai University Shanghai200444 China

Cloud storage usually adopt client-based deduplication, which can achieve considerable savings in both storage and bandwidth. However, an attacker can carry out a steal-file-content (SFC) attack, exposing data privacy. In this paper, a simple yet effective scheme, called double bytes transport protocol (DBTP), is proposed. In this scheme, the client-side requests deduplication checks of the double chunks simultaneously, and the server-side receives the deduplication request and response with a reasonable value. The result demonstrates that DBTP can significantly mitigate the side channel's risk while maintaining the high bandwidth efficiency of deduplication. © 2021, International Journal of Network Security. All Rights Reserved.

关键词： data privacy

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Explosive synchronization of multi-layer frequency-weighted coupled complex systems

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Chinese Physics B 2019年第7期28卷 168-173页

作者： Yan-Liang Jin Lin Yao Wei-Si Guo Rui Wang Xue Wang Xue-Tao Luo Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai 200072 China School of Engineering University of Warwick Coventry UK Alan Turing Institute London UK

Synchronization is a phenomenon that is ubiquitous in engineering and natural *** study of explosive synchronization on a single-layer network gives the critical transition coupling strength that causes explosive ***, no significant findings have been made on multi-layer complex *** paper proposes a frequency-weighted Kuramoto model on a two-layer network and the critical coupling strength of explosive synchronization is obtained by both theoretical analysis and numerical *** is found that the critical value is affected by the interaction strength between layers and the number of network *** explosive synchronization will be hindered by enhancing the interaction and promoted by increasing the number of network *** results have importance across a range of engineering and biological research fields.

关键词： explosive synchronization Kuramoto model complex systems

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Item life cycle based collaborative filtering

Item life cycle based collaborative filtering

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作者： Liu, Yue Cai, Fei Ren, Pengfei Gu, Zhizhou School of Computer Engineering and Science Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200444 China

To address the problem that the existing time-aware methods always recommend out-of-fashion items to users, this paper proposes a novel method named Item Life Cycle based Collaborative Filtering (ItemLC-CF), taking both user's preference and item's popularity into consideration. This method presents a life cycle function to simulate the variation of item's popularity and integrates such variation with CF to learn the relative preference for items by reranking the candidate set of CF according to item's vitality. Given that it is extremely complicated to construct a life cycle function for each item, items are clustered into different categories via their popularities instead of original product categories. Meanwhile, a SVM ensemble classifier based on AdaBoost is employed to find an appropriate category for new arrival items. Evaluation on MovieLens-1M dataset demonstrates that the proposed method can improve the performance of recommendation list, in turn providing more reasonable and popular recommendation lists for users. © 2019 - IOS Press and the authors.

关键词： Collaborative filtering

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