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Aperiodically intermittent stabilization for hybrid stochastic differential equations with pantograph delay

ASIAN JOURNAL OF CONTROL 2025年第0期

作者： Zhang, Tian Xie, Qiangjun Hu, hong-xiang Hangzhou Dianzi Univ Sch Sci Dept Math Hangzhou 310018 Peoples R China

This paper addresses the problem of using aperiodically intermittent control (AIC) to stabilize hybrid stochastic differential equations with pantograph delay (HSDEwPDs). The AIC, which is based on the average control rate, makes the obtained results less conservative. It is noteworthy that the delay type considered in most existing literature, which focuses on delay systems with AIC, is constant delay or bounded time-varying delay, which renders the existing methods ineffective in studying HSDEwPDs with AIC. Thus, a novel Halanay-type inequality lemma is developed to serve HSDEwPDs with AIC. By utilizing the Lyapunov functions and M$$ M $$-matrix, two sufficient criteria are derived to ensure the exponential stability of HSDEwPDs with AIC. Moreover, the theoretical findings are applied to stochastic pantograph oscillators with Markovian switching. Eventually, a numerical example and associated simulations are offered to check the validity of our theory.

关键词： aperiodically intermittent control Halanay-type differential inequality hybrid stochastic differential equations pantograph delay stability

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Online outcome weighted learning with general loss functions

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JOURNAL OF COMPLEXITY 2025年 88卷

作者： Yang, Aoli Fan, Jun xiang, Dao-hong Zhejiang Normal Univ Sch Math Sci Jinhua 321004 Zhejiang Peoples R China Hong Kong Baptist Univ Dept Math Kowloon Hong Kong Peoples R China

The pursuit of individualized treatment rules in precision medicine has generated significant interest due to its potential to optimize clinical outcomes for patients with diverse treatment responses. One approach that has gained attention is outcome weighted learning, which is tailored to estimate optimal individualized treatment rules by leveraging each patient's unique characteristics under a weighted classification framework. However, traditional offline learning algorithms, which process all available data at once, face limitations when applied to high-dimensional electronic health records data due to its sheer volume. Additionally, the dynamic nature of precision medicine requires that learning algorithms can effectively handle streaming data that arrives in a sequential manner. To overcome these challenges, we present a novel framework that combines outcome weighted learning with online gradient descent algorithms, aiming to enhance precision medicine practices. Our framework provides a comprehensive analysis of the learning theory associated with online outcome weighted learning algorithms, taking into account general classification loss functions. We establish the convergence of these algorithms for the first time, providing explicit convergence rates while assuming polynomially decaying step sizes, with (or without) a regularization term. Our findings present a non-trivial extension of online classification to online outcome weighted learning,

关键词： Learning theory Online learning Outcome weighted learning Comparison theorems Convergence rates Streaming data

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Scene graph generation based on lightweight entity pair object detection and relation classification ensemble

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NEUROCOMPUTING 2025年 637卷

作者： Hu, hong-xiang Yang, Xu-Hua Zhao, Yu-Yong Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Peoples R China

Scene Graph Generation (SGG) aims to automatically generate a semantic graph structure, enabling a deeper understanding and reasoning of visual scenes. It is widely used in scenarios such as autonomous driving, virtual reality and smart cities. Existing SGG models generally have problems such as complex structure, large number of parameters, and difficulty in deployment. At the same time, the bias in predicate relationship prediction caused by the long-tail distribution of training data affects the overall performance of SGG. In order to improve the limitations of the above methods, first, we propose a lightweight entity pair object detection method that can directly and efficiently decode subject-object pairs that may have predicate relations from images. Next, in order to alleviate the long-tail distribution, we propose a predicate relation classifier optimization method (PRCE) based on ensemble learning. The original training set is used to generate multiple new training sets based on varied sampling rules, and distinct predicate relationship classifiers are trained with the resulting classifiers integrated for final predicate relationship prediction. On the Visual Genome (VG) and OpenImageV6 datasets, by comparing with well-known methods, experiments show that our proposed model achieves very competitive performance. The code is available at: https://***/xhonghu/match-prce.

关键词： Scene graph generation Lightweight object detection Ensemble methods Long-tail distribution

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Analytical model for reactive contaminant back-diffusion from low-permeability aquitards with internal source zones

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JOURNAL OF HYDROLOGY 2025年 646卷

作者： Ding, xiang-hong Feng, Shi-Jin Zhu, Zhang-Wen Cent South Univ Sch Civil Engn Changsha 410075 Peoples R China Tongji Univ Dept Geotech Engn Shanghai 200092 Peoples R China State Key Lab Disaster Reduct Civil Engn Shanghai 200092 Peoples R China

Back diffusion of pollutants from low-permeability aquitards to adjacent high-permeability aquifers is a key issue that hinders site remediation. Previous back diffusion studies have typically assumed that a non-reactive contaminant source zone is located only in the aquifer, with scant attention paid to situations where the source zone resides in aquitards with degradation capacity. This study develops a novel back-diffusion analytical model for rapidly predicting reactive contaminant release from aquitards with internal source zones. The model incorporates the dynamic dissolution of internal sources in a multilayer aquitard with contaminant diffusion, adsorption, and degradation. General solutions were obtained utilizing the Laplace transform, Fourier finite cosine transform, variable substitution, and global matrix methods, validated against experimental data and numerical outcomes. Results reveal that previous back-diffusion models tend to underestimate the spatial extent and depth of aquitard contamination as well as aquifer plume tailing risk when the contaminant source is located within the aquitards. Based on numerous simulations and robust data fitting, the predictive functions for the back-diffusion plume tailing time regarding geometry and release parameters of internal sources were proposed, highly facilitating the risk evaluation of low-permeability sites. Furthermore, accelerating degradation reactions and expanding the degradation zone could efficiently mitigate contaminant back-diffusion from aquitards, implying that active bio-barriers are promising for remediating low-permeability soils.

关键词： Reactive transport Back diffusion Low-permeability aquitards Plume tailing Groundwater pollution

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Application of Optogenetic Neuromodulation in Regulating Depression

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CURRENT MEDICAL SCIENCE 2025年第2期45卷 185-193页

作者： Zhang, Jin Peng, xiang Li, Man Zhang, Xiao-ming xiang, hong-chun Hubei Univ Chinese Med Coll Acupuncture Moxibust & Orthoped Wuhan 430065 Peoples R China Huazhong Univ Sci & Technol Tongji Med Coll Sch Basic Med Dept Neurobiol Wuhan 430030 Peoples R China Hubei Shizhen Lab Wuhan 430075 Peoples R China Huazhong Univ Sci & Technol Union Hosp Tongji Med Coll Dept Acupuncture & Moxibust Wuhan 430022 Peoples R China

Depression is a multifaceted disorder with a largely unresolved etiology influenced by a complex interplay of pathogenic factors. Despite decades of research, it remains a major condition that significantly diminishes patients' quality of life. Advances in optogenetics have introduced a powerful tool for exploring the neural mechanisms underlying depression. By selectively expressing optogenes in specific cell types in mice, researchers can study the roles of these cells through targeted light stimulation, offering new insights into central nervous system disorders. The use of viral vectors to express opsins in distinct neuronal subtypes enables precise activation or inhibition of these neurons via light. When combined with behavioral, morphological, and electrophysiological analyses, optogenetics provides an invaluable approach to investigating the neural mechanisms of psychiatric conditions. This review synthesizes current research on the application of optogenetics to understand the mechanisms of depression. This study aims to enhance our knowledge of optogenetic strategies for regulating depression and advancing antidepressant research.

关键词： Depression Major depressive disorder Optogenetics Neuromodulation Depressive-like behaviors

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Functional transformation of macrophage mitochondria in cardiovascular diseases

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MOLECULAR AND CELLULAR BIOCHEMISTRY 2025年第2期480卷 747-757页

作者： Wei, Jing Peng, Ming-yu Lu, hong-xiang Nanjng Med Univ Dept Lab Med Jiangning Hosp Nanjing 211100 Peoples R China Nanjng Med Univ Nanjing Hosp 1 Dept Lab Med Nanjing Peoples R China

Mitochondria are pivotal in the modulation of macrophage activation, differentiation, and survival. Furthermore, macrophages are instrumental in the onset and progression of cardiovascular diseases. Hence, it is imperative to investigate the role of mitochondria within macrophages in the context of cardiovascular disease. In this review, we provide an updated description of the origin and classification of cardiac macrophages and also focused on the relationship between macrophages and mitochondria in cardiovascular diseases with respect to (1) proinflammatory or anti-inflammatory macrophages, (2) macrophage apoptosis, (3) macrophage pyroptosis, and (4) macrophage efferocytosis. Clarifying the relationship between mitochondria and macrophages can aid the exploration of novel therapeutic strategies for cardiovascular disease.

关键词： Macrophages Mitochondria Cardiovascular disease Apoptosis Pyroptosis Efferocytosis

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Generalized solutions for advection-dispersion transport equations subject to time- and space-dependent internal and boundary sources

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COMPUTERS AND GEOTECHNICS 2025年 178卷

作者： Ding, xiang-hong Luo, Biao Zhou, Hui-Ting Chen, Yun-Hao Cent South Univ Sch Civil Engn Changsha 410075 Peoples R China Hunan Univ Coll Civil Engn Changsha 410082 Peoples R China Hunan Univ Business Sch Changsha 410082 Peoples R China

Advection-dispersion equations with first-order decay reactions are widely used to describe the fate and transport of reactive contaminants, contributing to effective site contamination prediction and management. Previous related studies typically address the role of only a single type of source, which discourages the understanding of the interaction mechanisms between various types of sources and the precise inversion of the complex source zone. Thus, this study develops a novel analytical solution for a reactive contaminant transport model associated with time- and space-dependent internal and boundary sources. Transient solutions for the multi-type source model were derived using Laplace transform, Fourier cosine transform, variable substitution method, and coordinate transformation techniques, verified against numerical results in the time and spatial domains. Results that the previous prediction model with the Neumann inlet boundary condition would underestimate the area of the contaminated region in a transport system subject to multiple types of sources. The interaction between internal sources and boundary sources can give rise to a rebound in the downstream contaminant concentration. Moreover, several fitting functions are suggested to quantify the influence of the spatial and temporal characteristics of the sources on the area of the contaminated region and the peak downstream concentration.

关键词： Analytical solution Reactive contaminant transport Porous media Soil and groundwater remediation

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Polyaniline-vanadium oxide composite for Zn-ion electrochromic devices and mechanistic investigation by in-situ Raman spectroscopy

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RARE METALS 2025年 1-10页

作者： Song, Yi-Xin Li, Shan-Lin Liu, xiang-hong Zhang, Jun Qingdao Univ Coll Phys Qingdao 266071 Peoples R China

Vanadium oxide (VOX) with tunable interlayer spacing and variable valence states of vanadium ions offers tremendous opportunities in aqueous electrochromic devices but is still challenging. Herein, a polyaniline (PANI)-VOX composite material has been designed, increasing the conductivity and the structure stability. Owning to these virtues, the PANI-VOX composite material achieves a high capacitance of 332 mAhg(-1) at 0.1 Ag(-1) and a superior cycling performance (72% Delta T retention after 500 cycles). Importantly, in-situ Raman spectroscopy has been utilized to reveal the rapid formation of Zn-3(OH)(2)V2O7nH(2)O and the reversible change of PANI-VOX, which can further assist the development of aqueous electrochromic devices. This work highlights the understanding of the Zn2+ electrochromic mechanism and sheds some light on organic-inorganic composite electrochromic materials.

关键词： Electrochromic PANI V10O2412H(2)O In-situ Raman spectroscopy Device

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Mechanical behaviour of double lining with outer segmental lining and inner fibre reinforced concrete lining under internal water pressure

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TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2025年 155卷

作者： Zhou, Wen-Ding Zhang, Dong-Mei Bu, xiang-hong Wang, Xiao-Hu Tongji Univ Dept Geotech Engn Shanghai Peoples R China Tongji Univ Minister Educ Key Lab Geotech & Underground Engn Shanghai 200092 Peoples R China China State Railway Investment Construct Grp Co Lt Nanjing Peoples R China

Double lining with outer segmental lining and inner reinforced concrete lining is extensively used for water conveyance tunnel with internal water pressure. In order to improve the performance of the double lining, the steel rebar and fibre reinforced concrete (R/FRC) is designed for inner lining to enhance the tensile strength of reinforced concrete (RC). Full-scale tests were conducted to compare the mechanical behaviour of double lining with inner RC and R/FRC linings. The test results showed that both types of lining failed in four stages: elastic stage, inner lining cracking stage, crack stabilization and segmental joint damage stage, and failure stage. The cracks firstly occurred in the inner lining near the segmental joints and then propagated to the whole inner lining ring. Finally, the crack width and segmental joint opening successively exceeded the thresholds, and the double lining failed until the breaking of segmental joints. Compared with inner RC lining, R/FRC lining had better performance in terms of the initial cracking load, cracking-control ability, post-cracking stiffness, service limit capacity of inner lining and waterproof capacity of segmental lining. The improvement ratios were 36.3%, 50.3%, 46.3%, 37.2% and 31.1%, respectively. The influences of fibre volume fraction, fibre aspect ratio, and reinforcement ratio of steel rebar on the mechanical performance of R/FRC lining were also investigated based on a previously proposed analytical model. The parametric analysis demonstrated that higher fibre volume fraction and fibre aspect ratio can result in more significant increase of mechanical performance of R/FRC lining. The steel fibres were found to have more significant effects on the post-cracking behaviour of the lining than same amounts of reinforcing bars. Finally, an optimized function was proposed to fulfil a balance of lining performance and economy. The experimental and analytical results indicated that R/FRC lining can substitute RC l

关键词： Double lining R/FRC lining Full-scale tests Performance improvement Optimal design

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Risk prediction based preventive typhoon defending for semi-independent power system

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APPLIED ENERGY 2025年第PartC期377卷

作者： Cao, Shankang Wei, Fanrong Lin, xiangning Yuan, Xitao Huang, Qiyuan xiang, hong Huazhong Univ Sci & Technol Wuhan Peoples R China

The regional power grid that relies on the coordinated operation of internal generators and feed-in power through transmission lines (TLs), referred to as a semi-independent power grid (SIPG), enjoys potential selfsustaining ability under TL outage events induced by typhoon disasters by self-regulating. However, due to the instantaneous power failure of TLs resulting from physical damage, which is far shorter than the adjustment time of internal generators, SIPG will presumably collapse facing sudden massive power shortage without a previous resource scheduling policy. To ensure the safe operation of SIPG under typhoon disasters, a preventive typhoon-defending scheme is proposed. First, derived from the idea of Few-Shot Class-Incremental Learning (FSCIL), a risk prediction model is constructed to fairly assess the outage probability of TLs in the absence of tower damage samples. Noteworthily, real features of towers are extracted. Thus, convincing decision-making is provided for the preventive scheduling strategy. Subsequently, a multistage stochastic optimizing strategy considering the outage probability of TLs is proposed. Specifically, generators and loads in SIPG are pre- scheduled to reduce the interactive power demand from the main grid, alleviating the instantaneous power shortage caused by potential TL outage events. The modified IEEE 24-reliability test system is used to validate the proposed scheme.

关键词： Risk prediction Proactive scheduling Semi-independent power grid Few-shot class-incremental learning

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