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Neuromorphic devices for intelligent visual perception 认领 引用
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作者 Yixin Zhu Xiangjing Wang +4 位作者 Yuqing Hu Xinli Chen Xianhao Le Changjin Wan Qing Wan 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期186-219,共34页
Neuromorphic visual perception,by emulating the efficient information processing mechanisms of biological vision systems and integrating innovations in materials and device architectures,offers novel solutions for art... Neuromorphic visual perception,by emulating the efficient information processing mechanisms of biological vision systems and integrating innovations in materials and device architectures,offers novel solutions for artificial intelligence sensing.For instance,the incorporation of low-dimensional materials(e.g.,quantum dots,carbon nanotubes,and two-dimensional materials)optimizes device optoelectronic properties,while the synergistic design of organic semiconductors and oxide materials balances flexibility with complementary metal-oxide-semiconductor(CMOS)compatibility.Representative neuromorphic devices such as memristors and neuromorphic transistors address traditional vision system bottlenecks via near-sensor and in-sensor architectures in data transmission latency and energy consumption,offering a new paradigm for highly integrated,energy-efficient real-time perception.However,critical challenges—including device non-uniformity caused by material interface defects,system instability induced by memristor conductance drift,and environmental adaptability under complex illumination—remain barriers to scalable applications.This review comprehensively examines neuromorphic visual perception devices from the perspectives of device structure,operational mechanisms,materials,and applications.It explores the pivotal roles of memristors,electrolyte-gated transistors,and other neuromorphic devices in optical signal perception and information processing,with a focus on their implementations in visual perception tasks and future prospects. 展开更多
关键词 neuromorphic visual perception neuromorphic computing memristor transistor
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Tunnel boring machine jamming anticipation based on a new monitoring system for real-time perception of shield strain 认领 引用
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作者 Yucong Pan Quansheng Liu +3 位作者 Xinlin Wu Shaohui Tang Xing Huang Yalong Jiang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第7期5562-5572,共11页
Tunnel boring machine(TBM)jamming has become one of the critical factors restricting the tunnelling speed and construction period of squeezing tunnels.To minimize the potential risk and damage of jamming accidents,a s... Tunnel boring machine(TBM)jamming has become one of the critical factors restricting the tunnelling speed and construction period of squeezing tunnels.To minimize the potential risk and damage of jamming accidents,a series of methods have been proposed to perceive TBM jamming under the condition of soft and fractured surrounding rocks.However,most of these methods cannot predict TBM jamming accurately in advance or perceive the jamming process in real-time.In the present study,a real-time monitoring system(composed of strain gauges,data acquisition,data transmission and data storage)for shield strain was developed and implemented in a TBM at the Lanzhou Water Resource Project in China.The shield strain of the double-shielded TBM was monitored and analysed continuously.The working conditions of the TBM(such as excavation or standstill,jamming or disjamming)were identifiedby analysing the characteristics of shield strain.The perception information was compared to the excavation records.The results indicate that there is good consistency between them.Combined with monitoring information and fieldsurveys,the interaction mechanisms between the shield and surrounding rock were analysed qualitatively.The jamming mechanisms of the two accidents were revealed according to the variation in stable shield strain.A criterion for anticipation TBM jamming was proposed based on the shield strain characteristics(such as trend,amplitude,and magnification).These studies provide references for real-time perception and accurate anticipation of TBM jamming in soft and fractured surrounding rock conditions. 展开更多
关键词 Tunnel boring machine(TBM)jamming Shield strain Real-time perception Anticipation criterion Monitoring system
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A Bio-inspired Bubble Artificial Muscles and TacTip Perception-driven Tri-legged Robot for Obstacle Avoidance 认领 引用
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作者 Chaoqun Xiang Zhengwei Zhong +3 位作者 Wenqiang Wu Xiaocong Chen Yisheng Guan Tao Zou 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第1期175-191,共17页
Legged robots have considerable potential for traversing unstructured situations;nonetheless,their inflexible frameworks often constrain adaptability and obstacle negotiation.The study article presents a revolutionary... Legged robots have considerable potential for traversing unstructured situations;nonetheless,their inflexible frameworks often constrain adaptability and obstacle negotiation.The study article presents a revolutionary Soft Tri-Legged Robot(STLR)that improves movement and obstacle-avoidance skills by using a bio-inspired pneumatic artificial muscle(Bubble Artificial Muscles)and a bio-inspired tactile sensor(TacTip).The STLR is activated by BAMs,which are flexible,pneu-matic-driven actuators that provide fine control over forward,backward,and steering movements.Obstacle identification and avoidance are facilitated by the TacTip sensor,which delivers tactile input for traversing unstructured terrains.We delineate the mechanical features of the BAMs,assess the functionality of the robot's legs,and elaborate on the incorpora-tion of the tactile sensing system.Experimental results demonstrate that the STLR can effectively achieve multi-directional flexible movement and obstacle avoidance through a cross-modal perception-actuation mechanism.This study highlights the promise of soft robotics for search and rescue,medical aid,and autonomous exploration,while delineating difficulties and opportunities for future improvements in functionality and efficiency. 展开更多
关键词 Legged robot Bio-inspired bubble artificial muscles Bio-inspired TacTip sensor Foot tactile perception Obstacle avoidance
How would travel contexts affect people’s perceptions and evaluations of urban green space? 认领 引用
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作者 Yang Liu Jianying Wang +2 位作者 Mei-Po Kwan Dong Liu Liuyi Song 《Geography and Sustainability》 CSCD 2026年第2期102-115,共14页
Urban green space may impact human health through complex pathways and the effect can vary across different travel contexts.Revealing these disparities in health pathways between different travel contexts may provide ... Urban green space may impact human health through complex pathways and the effect can vary across different travel contexts.Revealing these disparities in health pathways between different travel contexts may provide essential and practical suggestions for sustainable developments in urban environments.In this study,we investi gated the impacts of travel contexts on people’s perceptions and evaluations of green space using a cross-sectional dataset collected in Hong Kong,China.Eight hundred participants in 4 representative communities were recruited through stratified sampling,and we identified 2,913 travel events from their two-day activity-travel diaries after rigorous cross-validation with GPS-derived trajectories.We also derived two green space exposure representa tions using fine-grained remote sensing imagery and 8 representative green space exposure indicators.Eighty logistical regression models and mixed-effects models were developed to investigate the associations with con trol of a range of potential uncertainties.Our results indicate solid and consistently positive associations between participants’measured green space exposure and perceived green space,and significant but variable effects of travel purposes,travel modes,and travel time on participants’perceptions and evaluations of green space.Walk ing significantly promotes participants’perceptions and positive evaluations of urban green space,buses are not significantly associated,and metro trains may depress the perception and evaluation.Our results provide solid evidence on how travel contexts may influence people’s perceptions and evaluations of urban green space and,thus,provide essential insights into environmental health studies and sustainable urban planning that consider green space as an important urban environmental setting. 展开更多
关键词 Green space Perception and evaluation Exposure measurements Travel contexts Urban planning Well-being
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A Comparative Analysis of Deep Learning Approaches for Visual Perception Benchmarks in Ship Navigation 认领 引用
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作者 Ruolan Zhang Xingchen Ji +1 位作者 Jinichi Koue Katsutoshi Hirayama 《哈尔滨工程大学学报（英文版）》 CSCD 2026年第2期600-616,共17页
The establishment of a reliable benchmark for evaluating model performance is critical for advancing deep learning(DL),including its application in the recognition of the ship navigation environment.Despite the steady... The establishment of a reliable benchmark for evaluating model performance is critical for advancing deep learning(DL),including its application in the recognition of the ship navigation environment.Despite the steady progress being made in object detection models across various tasks,maritime navigation presents unique challenges,such as long distances,miscellaneous objects,wide perception scales,and local conditions and features of water areas.Therefore,the improvement of DL approaches for this domain remains a significant challenge.Using a widely applicable offshore image dataset from the ship bridge,we evaluated the performance of the state-of-the-art object detection model from three perspectives:average precision,multiscale feature calculation,and intersection-over-union design,and explored the factors that may affect the model performance evaluation benchmark from the perspective of data quality,scale calculation,feature quantification,and object association.Our experiments have demonstrated that,in the context of object detection tasks within complex water surface traffic scenes,comprehensive model performance evaluation benchmarks are essential.Such benchmarks must incorporate multiple dimensions of the model. 展开更多
关键词 Long-range perception Visual navigation Dataset Multiscale detection Vision benchmark
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Multi-Source Traffic Information Completion and Perception Method via Graph Convolutional Neural Networks in Intelligent Connected Transportation System 认领 引用
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作者 Pangwei Wang Jie Wang +2 位作者 Zipeng Wang Hangrui Dong Li Wang 《Computers, Materials & Continua》 SCIE EI 2026年第8期1417-1435,共19页
Traffic holographic perception refers to the real-time,high-fidelity,and multi-dimensional sensing of traffic states through the fusion of heterogeneous sensors,including cameras,radars,and connected vehicle data.The ... Traffic holographic perception refers to the real-time,high-fidelity,and multi-dimensional sensing of traffic states through the fusion of heterogeneous sensors,including cameras,radars,and connected vehicle data.The multi-source perception data obtained thereby can provide a complete digital representation of the road network for the Intelligent Transportation System(ITS).However,sensors are vulnerable to environmental interference,which can result in data loss at specific points or along arterial highways for certain periods,potentially undermining system safety and decision-making reliability.To address these challenges,a deep learning method based on Graph Convolutional Networks(GCN)and Gated Recurrent Units(GRU)is proposed,leveraging Artificial Intelligence(AI)and intelligent connected technologies for real-time acquisition of multi-sensor perception data.A feature-level fusion integrates multi-source perception data.GCN captures spatial dependencies from the road network topology,while GRU extracts temporal features from time series,enabling accurate imputation of missing traffic data.The method is evaluated at intelligent connected intersections in the Beijing High-level Autonomous Driving Demonstration Area.Results show that the accuracy of long-term traffic state completion reaches 89.36%,and the Root Mean Square Error(RMSE)is reduced by 17.2%compared to the Long Short-Term Memory(LSTM)baseline.This framework provides a practical solution for deploying traffic holographic perception technology in secure and trustworthy ITS. 展开更多
关键词 Intelligent transportation information security traffic information completion traffic holographic perception AI-driven edge computing graph convolutional neural network
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Bio-inspired Multimodal Perception for Robotics:Bridging Neurobiological Principles and Engineering Frontiers 认领 引用
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作者 Shuyu Wang Kui Guo 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第3期1348-1360,共13页
To achieve human-like autonomy and adaptability in complex unstructured environments,robots must undergo a paradigm shift in multimodal perception systems by drawing inspiration from neuroscience.However,existing stud... To achieve human-like autonomy and adaptability in complex unstructured environments,robots must undergo a paradigm shift in multimodal perception systems by drawing inspiration from neuroscience.However,existing studies often remain at superficial descriptions of biological mechanisms,failing to deeply demonstrate how these principles can systematically guide innovation in robotic perception theory and technology.This review aims to bridge this gap by centering on insights from neuroscience to systematically construct a technological blueprint ranging from bio-inspired sensors to brain-like fusion algorithms.First,this review provides an in-depth analysis of the neural circuitry underlying multisensory integration in the brain,extracting engineering-ready computational principles.It then systematically examines cutting-edge sensor technologies such as neuromorphic vision and flexible electronic skin,emphasizing their applications in tasks like real-time state estimation.At the algorithmic level,the review focuses on how deep learning techniques,including variational autoencoders,cross-modal attention mechanisms,and spiking neural networks,can be employed to implement predictive coding and active perception in robotic systems.Finally,the article critically discusses core challenges in translating neuroscientific inspiration into engineering practice and outlines future directions such as neuromorphic computing,standardized embodied datasets,and machine self-body awareness.This work provides a clear development pathway for building next-generation embodied intelligence systems capable of genuine environmental perception and interaction. 展开更多
关键词 Multimodal perception Robotics Neuroscience-inspired Embodied intelligence Neuromorphic computing Predictive coding
Adaptive Reinforcement Learning with Multi-Modal Perception for Autonomous Formation Control and Exploration in Large-Scale Multi-UAV Swarms 认领 引用
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作者 Ziyuan Ma Huajun Gong Xinhua Wang 《Journal of Beijing Institute of Technology》 EI CAS 2026年第1期63-83,共21页
To address the challenge of achieving decentralized,scalable,and adaptive control for large-scale multiple unmanned aerial vehicle(multi-UAV)swarms in dynamic urban environments with obstacles and wind perturbations,w... To address the challenge of achieving decentralized,scalable,and adaptive control for large-scale multiple unmanned aerial vehicle(multi-UAV)swarms in dynamic urban environments with obstacles and wind perturbations,we proposed a hybrid framework integrating adaptive reinforcement learning(RL),multi-modal perception fusion,and enhanced pigeon flock optimization(PFO)with curiosity-driven exploration to enable robust autonomous and formation control.The framework leverages meta-learning to optimize RL policies for real-time adaptation,fuses sensor data for precise state estimation,and enhances PFO with learned leader-follower dynamics and exploration rewards to maintain cohesive formations and explore uncertain areas.For swarms of 10–30 UAVs,it achieves 34%faster convergence,61%reduced stability root mean square error(RMSE),88%fewer collisions and 85.6%–92.3%success rates in target detection and encirclement,outperforming standard multi-agent RL,pure PFO,and single-modality RL.Three-dimensional trajectory visualizations confirm cohesive formations,collision-free maneuvers,and efficient exploration in urban search-and-rescue scenarios.Innovations include meta-RL for rapid adaptation,multi-modal fusion for robust perception,and curiosity-driven PFO for scalable,decentralized control,advancing real-world multi-UAV swarm autonomy and coordination. 展开更多
关键词 multiple unmanned aerial vehicle(multi-UAV)swarm autonomous control reinforcement learning(RL) multi-modal perception pigeon flock optimization(PFO)
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The Influence of Discrimination Perception on the Psychological Resilience among Vocational High School Students:Longitudinal Mediating Effect of Vocational Identity 认领 引用
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作者 Lingyan Zhang Yuying Yang Zhuoxuan Huang 《International Journal of Mental Health Promotion》 2026年第2期112-124,共13页
Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental ... Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental trajectories of discrimination perception,vocational identity,and psychological resilience in this population.It further examined the longitudinal mediating role of vocational identity in the relationship between discrimination perception and psychological resilience.Methods:A total of 526 students from five vocational high schools in Guangdong,China,were assessed via convenience sampling at two time points:baseline(T1,September 2023)and six-month follow-up(T2,March 2024).Measures of discrimination perception,psychological resilience,and vocational identity were administered.Data were analyzed using a cross-lagged panel model to test for bidirectional relationships.Results:Over the six-month period,students showed significant decreases in discrimination perception and vocational identity,but a significant increase in psychological resilience.The cross-lagged model revealed significant bidirectional relationships:discrimination perception and psychological resilience negatively predicted each other over time(β=−0.124,p<0.01;β=−0.200,p<0.001),while psychological resilience and vocational identity positively predicted each other(β=0.084,p<0.05;β=0.076,p<0.05).The mediation analysis revealed a dual-pathway mechanism.T1 discrimination perception exerted both a significant direct negative effect on T2 psychological resilience(β=−0.332,p<0.001)and a significant indirect positive effect via T1 vocational identity(indirect effect=0.020,95%CI[0.001,0.046]).This confirms a partial mediating role,indicating that vocational identity functions as a compensatory mechanism,transforming the experience of discrimination perception into a potential source of psychological resilience.Conclusions:For vocational high school students,perception of discrimination directly undermines psychological resilience,but also indirectly fosters it through the positive development of vocational identity.These findings highlight vocational identity as a pivotal mechanism in the complex relationship between social adversity and mental resilience. 展开更多
关键词 Vocational high school students vocational identity discrimination perception psychological resilience
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Effect of inclined configuration of superficial neuromast on hydrodynamic signal perception of the fish lateral line 认领 引用
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作者 Wenhui Wang Guo-Qing Chen +8 位作者 Zengzhi Du Yang Yang Wei Peng Yu Li Weien Zhou Hongyuan Li Huiling Duan Wen Yao Pengyu Lv 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期49-62,共14页
The fish lateral line plays a crucial role in sensing surrounding hydrodynamic signals,which assist fish in foraging and evading predators.Superficial neuromasts(SNs)in the lateral line are important sensory units,mos... The fish lateral line plays a crucial role in sensing surrounding hydrodynamic signals,which assist fish in foraging and evading predators.Superficial neuromasts(SNs)in the lateral line are important sensory units,most of which are inclined and exhibit a broad range of structural sizes.However,the SNs studied previously are vertical,and the effects of inclined SN configurations on their perception of hydrodynamic signals remain unclear.This paper establishes a fluid-structure interaction model considering oscillation fluid(perturbation or hydrodynamic signal)and inclined SN configuration,and the effects of inclined morphology and structural size on the SN's flow perception ability are investigated.For the inclined morphology,a larger inclined angle(IA)leads to a smaller hydrodynamic response,thus reducing SN sensitivity but enhancing the ability to suppress flow-induced noise.When the perturbation oscillation frequency is 0.01 Hz,and the IA is 30°,the sensing ability(Г)is approximately 300 times higher than that of the vertical configuration.Thus,although the inclined morphology of the SN reduces its perception sensitivity,in certain cases,it can improve the I by suppressing the interference of flow-induced noise.For the structural size,the effects of SN diameter(D),kinocilium height(hk),and cupula height(hc)on perception sensitivity are analyzed.As D increases,the SN perception sensitivity undergoes two distinct stages.When D is less than 45μm,the cutoff frequency of perception sensitivity increases as D increases.When D exceeds 45μm,the sensitivity reaches a peak due to structural resonance induced by fluid forces.As D increases further,the peak sensitivity becomes larger,and the resonance peak shifts to the left.Additionally,increasing the hkand hcreduces the cut-off frequency while enhancing the perception of low-frequency hydrodynamic signals.These findings contribute to a deeper understanding of the flow perception mechanism in SNs. 展开更多
关键词 Superficial neuromast Hydrodynamic signal Perception sensitivity Inclined morphology Structural size
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Cortical Contributions to Local and Global Biological Motion Perception:Insights from Transcranial Magnetic Stimulation 认领 引用
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作者 Lianzi Xing Zhongju Sun +4 位作者 Yushu Wang Yiru Bao Peng Cai Rui Wang Yi Jiang 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第5期1183-1188,共6页
Dear Editor,The movements of living entities carry rich biological and social information(e.g.,direction,action,identity,and emotion),which is fundamental for human survival and social interaction.The human visual sys... Dear Editor,The movements of living entities carry rich biological and social information(e.g.,direction,action,identity,and emotion),which is fundamental for human survival and social interaction.The human visual system has evolved to efficiently recognize biological motion(BM). 展开更多
关键词 visual system movements living entities cortical contributions recognize biological motion bm biological social information egdirectionactionidentityand biological motion transcranial magnetic stimulation local global biological motion perception
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Real-Time 3D Scene Perception in Dynamic Urban Environments via Street Detection Gaussians 认领 引用
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作者 Yu Du Runwei Guan +4 位作者 Ho-Pun Lam Jeremy Smith Yutao Yue KaLok Man Yan Li 《Computers, Materials & Continua》 SCIE EI 2026年第4期1384-1402,共19页
As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety o... As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety of next-generation autonomous vehicles.In this work,we introduce a novel neural scene representation called Street Detection Gaussians(SDGs),which redefines urban 3D perception through an integrated architecture unifying reconstruction and detection.At its core lies the dynamic Gaussian representation,where time-conditioned parameterization enables simultaneous modeling of static environments and dynamic objects through physically constrained Gaussian evolution.The framework’s radar-enhanced perception module learns cross-modal correlations between sparse radardata anddense visual features,resulting ina22%reduction inocclusionerrors compared tovisiononly systems.A breakthrough differentiable rendering pipeline back-propagates semantic detection losses throughout the entire 3D reconstruction process,enabling the optimization of both geometric and semantic fidelity.Evaluated on the Waymo Open Dataset and the KITTI Dataset,the system achieves real-time performance(135 Frames Per Second(FPS)),photorealistic quality(Peak Signal-to-Noise Ratio(PSNR)34.9 dB),and state-of-the-art detection accuracy(78.1%Mean Average Precision(mAP)),demonstrating a 3.8×end-to-end improvement over existing hybrid approaches while enabling seamless integration with autonomous driving stacks. 展开更多
关键词 Radar-vision fusion differentiable rendering autonomous driving perception 3D reconstruction occlusion robustness
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Influencing factors of farmers'willingness to revitalize and utilize rural homesteads under policy perception and resource endowment:Evidence from mountainous and hilly areas in Shandong Province 认领 引用
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作者 HUAN Xinjin SHAN Bowen +3 位作者 ZHANG Zhipeng JIANG Guanghui WANG Ailing CHEN Linyao 《Journal of Mountain Science》 SCIE CSCD 2026年第7期3297-3316,共20页
Population outmigration and rural decline are pressing global challenges.In response,China has promoted the active revitalization of rural homesteads as a strategic pathway toward rural revitalization.In Shandong Prov... Population outmigration and rural decline are pressing global challenges.In response,China has promoted the active revitalization of rural homesteads as a strategic pathway toward rural revitalization.In Shandong Province,where mountainous and hilly terrains constitute a substantial share of the land area,the inefficient use and idleness of homesteads are particularly acute.At the same time,the region's abundant natural endowments offer considerable potential for homestead reuse,positioning it as a key pilot area for national rural revitalization efforts.Adopting a bottom-up analytical perspective,this study investigates farmers'willingness to participate in homestead revitalization and identifies the critical factors shaping their decisions.Grounded in the Theory of Planned Behavior and Resource Dependence Theory,and employing Random Forest,Probit models,and Geodetector,we examine the mechanisms through which policy perception and resource endowment influence farmers'willingness in Shandong's mountainous and hilly areas.The results indicate that policy perception significantly affects farmers'willingness,while multiple dimensions of resource endowment,including human,housing,land,and village-level resources,also exert notable influences and serve as key supporting factors for viable revitalization.Moreover,policy perception and resource endowment exhibit a pronounced synergistic effect in driving farmers'willingness.Based on these findings,we recommend that governments strengthen policy dissemination and implementation,upgrade rural infrastructure,and develop locally tailored specialty industries to enhance farmers'willingness and thus comprehensively advance rural revitalization. 展开更多
关键词 Policy perception Resource endowment Rural homesteads Revitalization and utilization Farmers'willingness
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Neurobiological mechanisms and clinical implications of scene perception impairment in schizophrenia 认领 引用
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作者 Zheng Fan Ke-Ying Lv +5 位作者 Jing Zhang Tian-Tian Wang Xiao-Hong Liu Wen-Liang Wang Zhen-He Zhou Hong-Liang Zhou 《World Journal of Psychiatry》 SCIE 2026年第8期83-93,共11页
As more recognition has been given to scene perception impairments in schizophrenia as a manifestation of abnormal sensorimotor function leading to subsequent social and cognitive decline.Synthesise the findings of ev... As more recognition has been given to scene perception impairments in schizophrenia as a manifestation of abnormal sensorimotor function leading to subsequent social and cognitive decline.Synthesise the findings of event-related potential,functional magnetic resonance imaging(MRI)scanning,structural MRI,and molecular neuroscience techniques.A meta-analysis demonstrated that there was a moderate-to-large decrease in the visual mismatch negativity(g=-0.63),indicating impairments of the automatic prediction-error signal;while abnormal N170 and late positive potentials suggested deficits spreading from early visual analysis to face-selective and socio-affective processing.The structures of the MRIs showed changes in gyrolithogenesis and others to support an objective measurement system for structural-functional relationship.At the mechanical level,N-methyl-D-aspartate receptor hypo-function,parvalbumin interneuron dysfunction,gamma-band disordering,and glial-related neuro-inflammation all affect predictive coding and obtain control together.In practice,these malformations may provide a reason for the inconsistency in the formation of social scenes among some patients whenregistering partial visual information. Accordingly, we propose that scenes of perception should not be regardedmerely as minor visual issues but rather as a clinically significant system-level objective. Visual remediation, neuromodulatory,ecological evaluation, biomarker-guided intervention have emerged as particularly relevant, but longtermand mechanisms-supported clinical studies are lacking. 展开更多
关键词 Schizophrenia Scene perception Electrophysiology Structural magnetic resonance imaging Effective connectivity Predictive coding
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Sensilla Trichoidea-Inspired,High-Temperature,and Omnidirectional Vibration Perception Based on Monolayer Graphene 认领 引用
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作者 Yuning Li Danke Chen +9 位作者 Xiaoqiu Tang Peizhi Yu Jingye Sun Xue Li Qing You Mingqiang Zhu Chang Gao Linan Li He Tian Tao Deng 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第6期350-365,共16页
With the convergence of sensor technology,artificial intelligence,and the Internet of Things,intelligent vibration monitoring systems are undergoing transformative development.This evolution imposes stringent demands ... With the convergence of sensor technology,artificial intelligence,and the Internet of Things,intelligent vibration monitoring systems are undergoing transformative development.This evolution imposes stringent demands on the miniaturization,low power consumption,high integration,and environmental adaptability of transducers.Graphene,renowned for its superlative physicochemical attributes,holds significant promise for application in micro-and nanoelectromechanical systems(M/NEMS).However,the inherent central symmetry of graphene restricts its utility in piezoelectric devices.Inspired by the sensilla trichoidea of spiders,a threedimensional(3D)cilia-like monolayer graphene omnidirectional vibration transducer(CGVT)based on a stress-induced self-assembly mechanism is fabricated,demonstrating notable performance and high-temperature resistance.Furthermore,3D vibration vector decoding is realized via an omnidirectional decoupling algorithm based on one-dimensional convolutional neural networks(1DCNN)to achieve precise discrimination of vibration directions.The 3D bionic vibration-sensing system incorporates a spider web structure into a bionic cilia MEMS chip through a gold wire bonding process,enabling the realization of three distinct mechanisms for vibration detection and recognition.In particular,these devices are manufactured using silicon-based semiconductor processing techniques and MEMS fabrication methodologies,leading to a substantial reduction in the dimensions of individual components compared to traditional counterparts. 展开更多
关键词 Bioinspired 3D Graphene Vibration perception Monolithic integration
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Association between illness perception and depression in colorectal cancer patients:Chain mediating effects of self-efficacy and posttraumatic growth 认领 引用
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作者 Fu-Zhuo Wang Jia-Shuang Xu +2 位作者 Hong Sun Xiu-Li Wang Ye Huang 《World Journal of Psychiatry》 SCIE 2026年第6期379-388,共10页
BACKGROUND Illness perception is a known correlate of depression in cancer patients,yet the mechanisms explaining this association remain incompletely understood.Selfefficacy and post-traumatic growth represent two ps... BACKGROUND Illness perception is a known correlate of depression in cancer patients,yet the mechanisms explaining this association remain incompletely understood.Selfefficacy and post-traumatic growth represent two psychological resources that may explain the association between illness perceptions and depressive symptoms.Understanding these pathways could inform targeted interventions for colorectal cancer patients.AIM To investigate the mediating roles of self-efficacy and post-traumatic growth in the relationship between illness perception and depression among colorectal cancer patients.METHODS A cross-sectional study was conducted from May to November 2024 in two tertiary hospitals in Liaoning Province,China.A total of 290 colorectal cancer patients were recruited using multistage stratified sampling.Data were collected via questionnaires assessing demographic characteristics,illness perception(Brief Illness Perception Questionnaire),self-efficacy(General Self-Efficacy Scale),post-traumatic growth(Post-Traumatic Growth Inventory),and depression(Patient Health Questionnaire-9).Mediation analysis was performed using the PROCESS macro(model 6)with 5000 bootstrap samples.RESULTS Illness perception was positively associated with depression[β=0.2575,95%confidence interval(CI):0.1827-0.3323].Three significant mediating pathways were identified:(1)Via self-efficacy alone(β=0.1099,95%CI:0.0700-0.1599),accounting for 27.47%of the total effect;(2)Via post-traumatic growth alone(β=0.0275,95%CI:0.0014-0.0537),accounting for 6.80%;and(3)Via the sequential pathway of self-efficacy and post-traumatic growth(β=0.0051,95%CI:0.0001-0.0122),accounting for 1.28%.The total indirect effect explained 35.63%of the variance.CONCLUSION Self-efficacy and post-traumatic growth mediate the relationship between illness perception and depression.Interventions targeting both cognitive appraisal and positive psychological growth may help mitigate depressive symptoms in this population. 展开更多
关键词 Colorectal cancer patients Illness perception Self-efficacy Post-traumatic growth Depression
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Psychological flexibility and coping behaviors in cervical cancer patients:Moderating role of illness perception 认领 引用
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作者 Yan-Fei Di Zhen Zhang +5 位作者 Qian Li Xue Han Qin Chen Xin-Ying He Peng-Fei Xu Hai-Xiang Wang 《World Journal of Clinical Oncology》 2026年第5期115-123,共9页
BACKGROUND Cervical cancer poses significant physical and psychological challenges,often leading to maladaptive coping behaviors that affect treatment adherence and quality of life.While psychological flexibility is k... BACKGROUND Cervical cancer poses significant physical and psychological challenges,often leading to maladaptive coping behaviors that affect treatment adherence and quality of life.While psychological flexibility is known to promote adaptive coping,its relationship with coping behaviors in cervical cancer patients remains underexplored,and the potential moderating role of illness perception in this association has not been established.AIM To explore the relationship between psychological flexibility and cancer coping behaviors in patients with cervical cancer,and to analyze the moderating role of illness perception in this relationship.METHODS A convenience sampling method was used to select 216 patients with cervical cancer for inclusion in this study.The Multidimensional Psychological Flexibility Inventory-24,Cancer Behavior Scale-3.0,and Brief Illness Perception Questionnaire were used for data collection.SPSS 26.0 software was applied for descriptive statistics,Pearson correlation analysis,and hierarchical regression analysis were also performed.RESULTS The total psychological flexibility score in patients with cervical cancer was 65.32±10.25.The score of the positive coping dimension in cancer coping behaviors was 38.67±7.54,and the score of the negative coping dimension was 25.43±6.89.The total illness perception score was 42.15±8.36.Pearson correlation analysis showed that psychological flexibility was significantly positively correlated with positive coping behaviors(r=0.452,P0.05).CONCLUSION Higher levels of psychological flexibility in patients with cervical cancer are associated with a greater tendency to adopt positive coping behaviors.Illness perception enhances the effect of psychological flexibility on negative coping behaviors. 展开更多
关键词 Cervical cancer Psychological flexibility Cancer coping behavior Illness perception Moderating effect
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Unraveling Predictive Mechanism in Speech Perception and Production:Insights from EEG Analyses of Brain Network Dynamics 认领 引用
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作者 ZHAO Bin DANG Jianwu LI Aijun 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第2期273-281,共9页
How neural networks coordinate to support speech perception and speech production represents a forefront research topic in both contemporary neuroscience and artificial intelligence.Despite the successful incorporatio... How neural networks coordinate to support speech perception and speech production represents a forefront research topic in both contemporary neuroscience and artificial intelligence.Despite the successful incorporation of hierarchical and predictive attributes from biological neural networks(BNNs)into artificial counterparts,substantial disparities persist,particularly in terms of real-time feedback and nonlinear regulation.To gain a more profound understanding of how BNNs manifest these attributes,the present study employed electroencephalography(EEG)techniques to examine the spatiotemporal brain network dynamics involved in listening and oral reading of identical sentences.These two tasks engage distinct sensorimotor modalities while sharing high-level semantic and syntactic representations.According to a hierarchical feedforward model,the low-level auditory and visual inputs would be progressively transformed towards abstract representations of the sentence meaning,leading to a convergence of brain network patterns in higher cognitive regions.However,our findings challenged this viewpoint by revealing an early resemblance of network activation in the prefrontal and parietal areas in both tasks.It implies a top-down predictive mechanism along with the bottom-up progression.This bidirectional interaction could be potentially implemented through frequency-specific synchronization and desynchronization between functional-specific cortical regions,laying the foundation of the speech chain system with common neural substrates. 展开更多
关键词 speech perception and production electroencephalography(EEG)techniques brain network dynamics predictive coding frequency multiplexing
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Deep Learning-Aided Frequency-Modulated Continuous-Wave Radar for Around-the-Corner Non-Line-of-Sight Perception at Urban Intersections 认领 引用
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作者 Shih-Lin Lin Yi-Hsuan Chen 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期1102-1122,共21页
Urban intersections contain severe blind zones where buildings and roadside obstacles block lineof-sight sensing,limiting the ability of autonomous vehicles to anticipate hidden hazards.This paper presents an urban-in... Urban intersections contain severe blind zones where buildings and roadside obstacles block lineof-sight sensing,limiting the ability of autonomous vehicles to anticipate hidden hazards.This paper presents an urban-intersection-oriented non-line-of-sight(NLOS)perception framework that exploits specular reflections from building surfaces using 77 GHz frequency-modulated continuous-wave(FMCW)automotive radar.All evaluations are conducted in a MATLAB-based simulation environment that models intersection geometry,building-induced occlusions,and specular reflection-assisted propagation,and generates 77-GHz FMCW radar echoes under controllable interference;real-world validation with measured radar data and richer multipath/material modeling is planned as future work.To improve robustness under noisy intersection interference,we propose a deep-learning-based mitigation module that restores corrupted radar echoes at the chirp level using a compact AlexNet-derived 1D regression backbone,with minimal architectural changes that insert a residual block after conv2 and apply batch normalization to enhance training stability and suppress interference while preserving informative echo characteristics.The restored echoes are then processed by conventional estimation steps to obtain range and azimuth-related angles.Under severe interference(Noise Factor=3.0),unmitigated measurements exhibit large errors(root-mean-square error(RMSE)=5.48 m/18.95°/10.77°for range/angle/azimuth deviation).Conventional AlexNet-based mitigation reduces these errors to 0.75 m/0.83°/0.93°,while the proposed improved AlexNet further reduces them to 0.56 m/0.46°/0.73°.The results demonstrate improved signal stability and measurement accuracy,supporting the potential practicality of low-cost NLOS perception in simulation for safety-critical autonomous driving at occluded urban intersections,subject to future real-world validation. 展开更多
关键词 FMCW doppler radar non-line-of-sight(NLOS)perception urban intersections specular reflection interference mitigation radar-echo restoration residual learning batch normalization AlexNet autonomous driving
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Social Media Addiction, Use Patterns, and Body Image Perception among Athletes with Physical Disabilities 认领 引用
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作者 Garip Erayabakan Burak Canpolat 《International Journal of Mental Health Promotion》 2026年第3期145-162,共18页
Background:Social media plays an important role in shaping body image and self-perception,particularly among appearance-sensitive groups such as athletes.Although problematic social media use has been linked to body i... Background:Social media plays an important role in shaping body image and self-perception,particularly among appearance-sensitive groups such as athletes.Although problematic social media use has been linked to body image outcomes through processes such as social comparison,self-presentation,and evaluation sensitivity,these mechanisms remain underexplored among athletes with physical disabilities.This study aimed to examine the associations between social media use,addictive use patterns,and body image perception in this population,with a focus on these underlying psychological mechanisms.Methods:A total of 165 athletes with physical disability participated in this quantitative cross-sectional study.Data were collected through online surveys,including demographic questions,the Athlete Social Media Use Scale(content creation,usage frequency,and social media addiction subdimensions),and the Body Image Scale(negative perception,evaluation sensitivity,positive perception,and body modification).Parametric tests,correlation analyses,and group comparisons were performed to assess relationships between social media behaviors and body image dimensions.Results:Problematic social media use was moderately associated with higher negative body image and lower positive body image among athletes with physical disabilities(r=0.32–0.41,all p<0.001).Regression analysis indicated that overall social media use was a significant predictor of body image perception after controlling for demographic variables(β≈0.45,p<0.001),explaining approximately 19.5%of the variance.Mediation analyses using bootstrapping revealed that these psychological mechanisms partially mediated the relationship between problematic social media use and body image perceptions,with small-to-moderate indirect effects,indicating both statistical and practical significance.Conclusion:The findings indicate that not only general social media use but also addictive and problematic usage patterns are linked to vulnerable aspects of body image among athletes with physical disabilities.Increased exposure to idealized digital representations and upward social comparison processes may heighten sensitivity to external evaluation and undermine positive body perception.These results highlight the need for digital literacy initiatives,psychoeducational interventions,and supportive online environments that promote healthier social media engagement and body image among disabled athletes. 展开更多
关键词 Social media addiction social media use body image perception social comparison athletes with physical disabilities disability sport
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