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Domain generalization with semi-supervised learning for people-centric activity recognition

Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： Jing LIU wei ZHU Di LI Xing HU Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

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Privacy Distributed Constrained Optimization Over Time-Varying Unbalanced Networks and Its Application in Federated Learning

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 335-346页

作者： Mengli wei Wenwu Yu Duxin Chen Mingyu Kang Guang Cheng the School of Cyber Science and Engineering Southeast University IEEE the School of Mathematics Frontiers Science Center for Mobile Information Communication and Security Southeast University the Purple Mountain Laboratories the School of Mathematics Southeast University

This paper investigates a class of constrained distributed zeroth-order optimization(ZOO) problems over timevarying unbalanced graphs while ensuring privacy preservation among individual agents. Not taking into account recent progress and addressing these concerns separately, there remains a lack of solutions offering theoretical guarantees for both privacy protection and constrained ZOO over time-varying unbalanced *** hereby propose a novel algorithm, termed the differential privacy(DP) distributed push-sum based zeroth-order constrained optimization algorithm(DP-ZOCOA). Operating over time-varying unbalanced graphs, DP-ZOCOA obviates the need for supplemental suboptimization problem computations, thereby reducing overhead in comparison to distributed primary-dual methods. DP-ZOCOA is specifically tailored to tackle constrained ZOO problems over time-varying unbalanced graphs,offering a guarantee of convergence to the optimal solution while robustly preserving privacy. Moreover, we provide rigorous proofs of convergence and privacy for DP-ZOCOA, underscoring its efficacy in attaining optimal convergence without constraints. To enhance its applicability, we incorporate DP-ZOCOA into the federated learning framework and formulate a decentralized zeroth-order constrained federated learning algorithm(ZOCOA-FL) to address challenges stemming from the timevarying imbalance of communication topology. Finally, the performance and effectiveness of the proposed algorithms are thoroughly evaluated through simulations on distributed least squares(DLS) and decentralized federated learning(DFL) tasks.

关键词： Constrained distributed optimization decentralized federated learning (DFL) differential privacy (DP) time-varying unbalanced graphs zeroth-order gradient

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A functional cathode sodium compensation agent for stable sodium-ion batteries

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Green Energy & Environment 2025年第1期10卷 173-182页

作者： wei Wu Zhenglin Hu Zhengfei Zhao Aoxuan Wang Jiayan Luo Key Laboratory for Green Chemical Technology of Ministry of Education School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China State Key Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai200240China Shanghai Jiao Tong University Shaoxing Research Institute of Renewable Energy and Molecular Engineering Shaoxing312000China

Hard carbon(HC)is widely used in sodium-ion batteries(SIBs),but its performance has always been limited by lowinitial Coulombic efficiency(ICE)and cycling *** compensation agent is a favorable strategy to make up for the loss of active sodium ions consumed *** it lacks agent that effectively decomposes to increase the active sodium ions as well as regulate carbon defects for decreasing the irreversible sodium ions ***,we propose 1,2-dihydroxybenzene Na salt(NaDB)as a cathode compensation agent with high specific capacity(347.9 mAh g^(-1)),lower desodiation potential(2.4–2.8 V)and high utilization(99%).Meanwhile,its byproduct could functionalize HC with more C=O groups and promote its reversible ***,the presodiation hard carbon(pHC)anode exhibits highly reversible capacity of 204.7 mAh g^(-1) with 98%retention at 5 C rate over 1000 ***,with 5 wt%NaDB initially coated on the Na3V2(PO4)3(NVP)cathode,the capacity retention of NVP + NaDB|HC cell could increase from 22%to 89%after 1000 cycles at 1 C *** work provides a new avenue to improve reversible capacity and cycling performance of SIBs through designing functional cathode compensation agent.

关键词： Hard carbon ICE Cathode compensation agent Reversible capacity Stability

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Pharmacological Mechanism of Chinese Medicine in Systemic Lupus Erythematosus:A Narrative Review

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Chinese Journal of Integrative Medicine 2025年第2期31卷 157-169页

作者： ZHU Bo-yu LIU Zhi-chao ZHAO Zhen-xi HUANG Hui-ping ZHANG Na XIA Jia CHEN wei-wei Department of Rheumatology Shanghai Municipal Hospital of Traditional Chinese MedicineShanghai University of Traditional Chinese MedicineShanghai(200071)China

Systemic lupus erythematosus(SLE)is a chronic autoimmune disorder affecting multiple systems,characterized by the development of harmful autoantibodies and immune complexes that lead to damage in organs and *** medicine(CM)plays a role in mitigating complications,enhancing treatment effectiveness,and reducing toxicity of concurrent medications,and ensuring a safe ***,CM mainly solves the disease comprehensively through multi-target and multi-channel regulation process,therefore,its treatment mechanism is often complicated,involving many molecular *** review introduces the research progress of pathogenesis of SLE from the aspects of genetics,epigenetics,innate immunity and acquired immunity,and then discusses the molecular mechanism and target of single Chinese herbal medicine and prescription that are commonly used and effective in clinic to treat SLE.

关键词： systemic lupus erythematosus Chinese medicine natural extracts treatment review

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Utilizing BP neural networks to accurately reconstruct the tritium depth profile in materials for BIXS

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Nuclear Science and Techniques 2025年第1期36卷 103-114页

作者： Chen Zhao wei Jin Yan Shi Chang-An Chen Yi-Ying Zhao Institute of Materials China Academy of Engineering PhysicsJiangyou 621908China

β-ray-induced X-ray spectroscopy(BIXS)is a promising method for tritium detection in solid materials because of its unique advantages,such as large detection depth,nondestructive testing capabilities,and low requirements for sample ***,high-accuracy reconstruction of the tritium depth profile remains a significant challenge for this *** this study,a novel reconstruction method based on a backpropagation(BP)neural network algorithm that demonstrates high accuracy,broad applicability,and robust noise resistance is *** average reconstruction error calculated using the BP network(8.0%)was much lower than that obtained using traditional numerical methods(26.5%).In addition,the BP method can accurately reconstruct BIX spectra of samples with an unknown range of tritium and exhibits wide applicability to spectra with various tritium ***,the BP network demonstrates superior accuracy and stability compared to numerical methods when reconstructing the spectra,with a relative uncertainty ranging from 0 to 10%.This study highlights the advantages of BP networks in accurately reconstructing the tritium depth profile from BIXS and promotes their further application in tritium detection.

关键词： β-ray-induced X-ray spectroscopy Tritium detection BP network Ridge regression Reconstruction problem

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A central limit theorem for square ice

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Acta Mathematica Sinica,English Series 2025年

作者： wei WU Mathematics Department NYU Shanghai

We prove that the height function associated with the uniform six-vertex model(or equivalently, the uniform homomorphism height function from Z2to Z) satisfies a central limit theorem,upon some logarithmic rescaling.

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Influence of ecological restoration on regional temperature-vegetation-precipitation dryness index in the middle Yellow River of China

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Journal of Mountain Science 2025年第2期22卷 636-651页

作者： CHEN wei GUO Yuxing SUN Congjian School of Geographical Science Shanxi Normal UniversityTaiyuan 030031China Research Center for Ecological Environment in the Middle Reaches of the Yellow River Shanxi Normal UniversityTaiyuan 030031China

Drought is an important disaster factor disturbing the stability of the ecosystem in the middle reaches of the Yellow River(YRM).In this study,the spatiotemporal distribution of drought in the YRM from 2000 to 2021 was quantitatively investigated by constructing the TVPDI(Temperature-VegetationPrecipitation Dryness Index),and its driving mechanism was *** results show that:(1)a significant decreasing trend was observed in the regional annual TVPDI of the YRM,while the autumn TVPDI index showed an increasing trend during 2000-2021.(2)Plants are more susceptible to drought during the growing season.(3)Drought in YRM showed significant spatial heterogeneity,and the high gully area in the Loess Plateau and the earth-rocky mountain areas were less affected by drought than other regions.(4)The Structural Equation Model(SEM)indicated that regional soil moisture and vegetation coverage have a direct influence on regional TVPDI *** study has explored the regional differences of drought in different seasons and landforms in the YRM,providing a basis for carrying out targeted seasonal ecological management and refining regional environmental governance,as well as a reference for formulating differentiated ecological restoration and water resource allocation strategies according to local conditions.

关键词： Temperature Vegetation-Precipitation Dryness Index The middle reaches of the Yellow River Seasonal drought Regional drought

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Spatial Characteristics of the Plasma Spark Source Wavelet

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Journal of Ocean University of China 2025年第1期24卷 103-112页

作者： wei Jia HAO Xiaozhu FENG Jing YANG Rui XING Lei LIU Huaishan WANG wei WU Zhiqiang ZHANG Dong LI Linwei Qingdao Institute of Marine Geology CGSQingdao 266071China Key Laboratory of Marine Mineral Resources Ministry of Natural ResourcesGuangzhou Marine Geological SurveyGuangzhou 511458China College of Marine Geosciences Ocean University of ChinaQingdao 266100China Center for Biomedical Materials and Interfaces Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Plasma spark sources are widely used in high-resolution seismic ***,research on the excitation mechanism and propagation characteristics of plasma spark sources is very *** this study,we elaborated on the excitation process of corona discharge plasma spark source based on indoor experimental *** electrode spacing has a direct impact on the movement of *** the spacing between bubbles decreases,they collapsed and fused,thereby suppressing the secondary pulse *** on the premise of linear arrangement and equal energy synchronous excitation,the motion equation of multiple bubbles under these conditions was derived,and a calculation method for the near-field wavelet model of plasma spark source was *** simulated the source signals received in different directions and constructed a spatial wavelet face *** with traditional far-field wavelets,the spatial wavelet facial feature representation method provides a more comprehensive display of the variation characteristics and propagation properties of source wavelets in three-dimensional *** spatial wavelet variation process of the plasma spark source was analyzed,and the source depth and the virtual reflection path are the main factors affecting the *** high-frequency properties of plasma electric spark source wavelets lead to their sensitivity to factors such as wave fluctuations,position changes,and environmental *** changes in collection parameters may result in significant changes in the recorded waveform and final data ***,the facial feature method provides more effective technical support for wavelet evaluation.

关键词： plasma spark source seismic wavelet spatial characteristics facial features

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Investigation on coal damage and fracture extension law of liquid nitrogen injection pre-cooling and fracturing under true triaxial stress

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International Journal of Mining Science and Technology 2025年第2期35卷 213-229页

作者： Botao Li Haifei Lin Jianping wei Hongtu Zhang Shugang Li Zongyong wei Lei Qin Pei Wang Rongwei Luo Zeran Liu School of Safety Science and Engineering Henan Polytechnic UniversityJiaozuo 454003China State Key Laboratory Cultivation Base for Gas Geology and Gas Control Henan Polytechnic UniversityJiaozuo 454003China State Collaborative Innovation Center of Coal Work Safety and Clean-efficiency Utilization Henan Polytechnic UniversityJiaozuo 454003China College of Safety Science and Engineering Xi’an University of Science and TechnologyXi’an 710054China Key Laboratory of Shaanxi Province Universities of Gas Disaster Prevention and Control in Western Coal Mines Xi’an 710054China

To more accurately describe the coal damage and fracture evolution law during liquid nitrogen(LN_(2))fracturing under true triaxial stress,a thermal-hydraulic-mechanical-damage(THMD)coupling model for LN_(2) fracturing coal was developed,considering the coal heterogeneity and thermophysical parameters of *** accuracy and applicability of model were verified by comparing with LN_(2) injection pre-cooling and fracturing experimental *** effects of different pre-cooling times and horizontal stress ratios on coal damage evolution,permeability,temperature distribution,and fracture characteristics were *** results show that the permeability and damage of the coal increase exponentially,while the temperature decreases exponentially during the fracturing *** the pre-cooling time increases,the damage range of the coal expands,and the fracture propagation becomes more *** initiation pressure and rupture pressure decrease and tend to stabilize with longer precooling *** the horizontal stress ratio increases,fractures preferentially extend along the direction of maximum horizontal principal stress,leading to a significant decrease in both initiation and rupture *** a horizontal stress ratio of 3,the initiation pressure drops by 48.07%,and the rupture pressure decreases by 41.36%.The results provide a theoretical basis for optimizing LN_(2) fracturing techniques and improving coal seam modification.

关键词： Liquid nitrogen fracturing Thermal–hydraulic-mechanical-damage coupling Heterogeneous coal True triaxial stress Fracture morphology

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Design,Synthesis and Pharmacological Evaluation of Novel 4-Phenoxyquinoline Derivatives as VEGFR2 Kinase Inhibitors for Tumor Treatment

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Chemical Research in Chinese Universities 2025年第1期41卷 66-78页

作者： JIANG wei CHEN Jiayan WANG Haifeng XUE Aiqi ZHANG Xinyang GUAN Jichi wei Lulu CAI Jianfeng HU Yong LIU Dan College of Chemical Engineering Shenyang University of Chemical TechnologyShenyang110142P.R.China Institute of Materials Engineering College of Engineering and Applied SciencesNanjing UniversityNanjing210093P.R.China Department of Chemistry University of South Florida4202 E.Fowler AveTampaFL33620USA

Vascular endothelial growth factor 2(VEGFR2)plays a vital role in regulating of tumor metastasis and angiogenesis,which has emerged as one of the effective targets for clinical tumor ***,a series of novel facilely accessible 4-phenoxyquinoline derivatives was prepared and assessed for their antitumor activity against three human tumor cell lines(SGC-7901,HepG2 and A549).Among these compounds,6a,6b and 6c show strong antitumor activity on HepG2 cells[the drug concentration of eliminating half of tumor cells(IC_(50))=9.33,1.84,8.54μmol/L].Notably,compound 6b shows potent selective inhibitory activity against VEGFR2 kinase with an IC_(50) value of 4.66 nmol/*** excellent anti-angiogenesis capability of compound 6b was confirmed by tube formation and chick chorioallantoic membrane(CAM)*** vivo studies confirmed that compound 6b was able to inhibit tumor growth in HepG2 xenografts of BALB/c nude mice without obvious side or toxic *** results demonstrated that compound 6b exhibited remarkable anti-angiogenesis and tumor growth inhibitory effects with less toxicity in vitro and in vivo *** findings highlighted the potential of compound 6b as a promising VEGFR2 kinase inhibitor for the development of antitumor drugs.

关键词： ar endothelial growth factor 2(VEGFR2) 4-Phenoxyquinoline Inhibitor Anti-tumor Angiogenesis

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