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Simplified K-linearization and dispersion compensation method for low-cost real-time serial sectioning-swept source optical coherence tomography 认领 引用 被引量：1
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作者 Wei Chen Lingxuan Meng +2 位作者 Xiuhua Zheng Shuaibin Chang Jianbo Tang 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2026年第3期82-89,共8页
Swept-Source Optical Coherence Tomography(SS-OCT)requires linear k-space sampling and dispersion compensation to achieve optimal axial resolution,typically necessitating expensive,high-speed data acquisition hardware.... Swept-Source Optical Coherence Tomography(SS-OCT)requires linear k-space sampling and dispersion compensation to achieve optimal axial resolution,typically necessitating expensive,high-speed data acquisition hardware.Existing numerical methods are computationally intensive,hindering real-time imaging.While phase linearization offers a simpler alternative,its applicability is limited to shallow depths.Here,we demonstrate that for serial sectioning and imaging,where the region of interest is confined to a few hundred micrometers,phase linearization is highly effective.We developed a simplified workflow that enables real-time reconstruction without added processing time.Using a commercial swept source,we maintained a sharp axial point spread function over a 700μm depth,sufficient for visualizing fine brain structures in mice.Our method allows for video-rate display using cost-effective,low-sampling-rate hardware. 展开更多
关键词 K-linearization dispersion compensation phase linearization
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Alleviating negative home plant–soil feedback in vegetables through phosphorus management 认领 引用
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作者 Zitian Pu Ruifang Zhang +2 位作者 Chi Zhang Hong Wang Xinxin Wang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第6期2556-2568,共13页
Home plant–soil feedbacks(home-PSFs)typically demonstrate negative effects in vegetable crops,substantially inhibiting their growth.Phosphorus(P),an essential plant nutrient crucial for growth,influences vegetable cr... Home plant–soil feedbacks(home-PSFs)typically demonstrate negative effects in vegetable crops,substantially inhibiting their growth.Phosphorus(P),an essential plant nutrient crucial for growth,influences vegetable crop growth patterns through soil availability levels.However,the relationship between soil available P levels and home-PSFs in vegetable crops requires further investigation.This study established a home PSF system incorporating 12 vegetable crops from 6 families to examine growth responses under two P conditions(low P level:40 mg P kg-1 soil;high P level:200 mg P kg-1 soil).The findings revealed that low P conditions significantly decreased overall biomass across all vegetables,with preferential biomass allocation to root development.Furthermore,low P conditions enhanced mycorrhizal colonization and rhizosphere acid phosphatase activity while notably decreasing root length.While vegetables generally exhibited negative home PSFs,allium and nonmycorrhizal plants demonstrated positive responses under high P conditions.Wild tomatoes displayed greater variation in feedback values across P levels compared to common tomatoes.Under high-P conditions,mycorrhizal colonization showed positive correlations with feedback values of biomass and P concentration.Root diameter and mycorrhizal colonization demonstrated distinct correlations with these feedback values under low-P conditions.The research concludes that high P levels effectively mitigate negative home-PSFs in vegetables while increasing biomass production.Additionally,high P levels demonstrated superior efficacy in alleviating negative home-PSFs in wild tomatoes compared to common tomatoes. 展开更多
关键词 home plant-soil feedback phosphorus levels negative feedback growth strategy vegetable
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Establishing positive feedback between polysulfide conversion and lithium-ion migration in Li-S battery 认领 引用
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作者 Bin Han Xingfa Liu +5 位作者 Yue Chen Kaicheng Yang Ding Ding Kai Chen Jun Xu Qingchi Xu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第2期207-216,I0006,共10页
The performance of lithium-sulfur batteries(LSBs)is severely limited by a detrimental negative feedback loop:sluggish polysulfide conversion kinetics lead to Li2S accumulation,which further hinders lithiumion trans... The performance of lithium-sulfur batteries(LSBs)is severely limited by a detrimental negative feedback loop:sluggish polysulfide conversion kinetics lead to Li2S accumulation,which further hinders lithiumion transport and exacerbates capacity decay.To address this,we propose a positive feedback strategy that simultaneously enhances lithium polysulfides(LiPSs)conversion and lithium-ion diffusion through a rationally designed separator.By modifying the separator with phosphorus-doped two-dimensional hollow holey carbon nanosheets(Hollow HCNS),we establish an interconnected network where rapid LiPSs confinement and conversion within the hollow cavities promote efficient lithium-ion transport,while the improved ion flux further accelerates reaction kinetics.This mutual reinforcement mechanism ensures stable cycling by suppressing the shuttle effect and promoting uniform Li2S deposition,as verified by in situ spectroscopic and electrochemical analysis.The resulting LSBs exhibit high-rate capability,ultralow capacity decay,and exceptional stability under high sulfur loading.This work presents a general approach to overcoming the persistent negative feedback problem in high-energy battery systems by synergistically optimizing catalytic conversion and ionic transport. 展开更多
关键词 Lithium-sulfur batteries Hollow holey carbon nanosheet Positive feedback
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Development of a real-time posture feedback system with integrated human motion prediction for proactive intervention in work-related musculoskeletal disorders 认领 引用
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作者 Baicun Wang Yixiu Yuan +2 位作者 Maolin Zhang Xi Vincent Wang Chenlong Yang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第3期158-170,共13页
With the advancement of human-centric smart manufacturing toward Industry 5.0,the assessment and miti-gation of work-related musculoskeletal disorder(WMsD)risks have become a critical issue in industrial work-places.A... With the advancement of human-centric smart manufacturing toward Industry 5.0,the assessment and miti-gation of work-related musculoskeletal disorder(WMsD)risks have become a critical issue in industrial work-places.Although real-time posture feedback based on wearable devices has been increasingly adopted for er-gonomic intervention,existing approaches mainly rely on reactive feedback and seldom consider the real-time optimization of continuous poor-posture sequences that trigger interventions.This study proposes a Human Digital Twin(HDT)-driven real-time posture feedback framework and develops a corresponding multimodal feedback system integrating visual,auditory,and haptic channels.The system continuously monitors workers'postures using wearable sensing,evaluates postural risk levels in real time,and delivers personalized feedback to guide posture correction.Experimental validation demonstrates that the proposed system provides timely and effective ergonomic interventions,leading to a significant reduction in postural risk compared with conventional offline guidance methods.Furthermore,to address the limitation of reactive feedback strategies,a spatio-tem-poral Transformer-based human motion prediction algorithm(S2Transformer)is introduced to anticipate future postural evolution.The proposed algorithm predicts both skeletal joint positions and postural risk scores over short-term horizons,enabling proactive feedback generation before high-risk postures fully develop.Comparative experiments show that the proposed method achieves superior prediction accuracy compared with baseline models.This research establishes an HDT-driven proactive posture feedback paradigm by integrating multimodal real-time feedback with predictive human motion modeling,providing an effective solution for reducing WMSD risks in human-centric manufacturing environments. 展开更多
关键词 Posture feedback Human motion prediction Ergonomic intervention Industry 5.0
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Differential Vegetation Feedback on the Global Land Monsoon System during the Mid-Holocene and Last Interglacial 认领 引用
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作者 Zhenqian WANG Qiong ZHANG +1 位作者 Jie CHEN Zixuan HAN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第1期103-119,共17页
This study investigates the impact of vegetation-climate feedback on the global land monsoon system during the Last Interglacial(LIG,127000 years BP)and the mid-Holocene(MH,6000 years BP)using the earth system model E... This study investigates the impact of vegetation-climate feedback on the global land monsoon system during the Last Interglacial(LIG,127000 years BP)and the mid-Holocene(MH,6000 years BP)using the earth system model EC-Earth3.Our findings indicate that vegetation changes significantly influence the global monsoon area and precipitation patterns,especially in the North African and Indian monsoon regions.The North African monsoon region experienced the most substantial increase in vegetation during both the LIG and MH,resulting in significant increases in monsoonal precipitation by 9.8%and 6.0%,respectively.The vegetation feedback also intensified the Saharan Heat Low,strengthened monsoonal flows,and enhanced precipitation over the North African monsoon region.In contrast,the Indian monsoon region exhibited divergent responses to vegetation changes.During the LIG,precipitation in the Indian monsoon region decreased by 2.2%,while it increased by 1.6%during the MH.These differences highlight the complex and region-specific impacts of vegetation feedback on monsoon systems.Overall,this study demonstrates that vegetation feedback exerts distinct influences on the global monsoon during the MH and LIG.These findings highlight the importance of considering vegetation-climate feedback in understanding past monsoon variability and in predicting future climate change impacts on monsoon systems. 展开更多
关键词 Last Interglacial mid-Holocene global land monsoon vegetation feedback
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DANet:CSI Feedback for Massive MIMO Systems Based on Dual Attention Mechanism 认领 引用
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作者 Li Jun Wang Yukai +3 位作者 Zhang Zhichen He Bo Zheng Wenjing Lin Fei 《China Communications》 SCIE EI CSCD 2026年第2期285-297,共13页
In massive multiple-input multiple-output(MIMO)systems utilizing frequency division duplexing,optimizing system performance requires user equipment(UE)to compress downlink channel state information(CSI)and transmit it... In massive multiple-input multiple-output(MIMO)systems utilizing frequency division duplexing,optimizing system performance requires user equipment(UE)to compress downlink channel state information(CSI)and transmit it to the base station(BS).As the number of antennas increases,there is a significant rise in the overhead related to CSI feedback,posing considerable challenges to the precise acquisition of CSI by the BS.Existing approaches to CSI feedback utilizing deep learning techniques face challenges such as significant feedback overhead and limited precision in the reconstruction process.This study presents a novel lightweight CSI feedback framework known as the dual attention neural network(DANet).Within the DANet architecture,a dual attention module(DAM)is designed to enhance the network's performance.This DAM includes both channel attention blocks and spatial attention blocks.The channel attention blocks direct the model's focus toward channel features rich in information content while simultaneously suppressing less significant features.This approach enables the extraction of temporal correlations within the CSI matrix.The spatial attention block aids in extracting the correlation between the delay domain and the angle domain in the CSI matrix.By enhancing neural network performance,the DAM reduces information dispersion while enhancing the representation of global interactions.Simulation results demonstrate that DANet exhibits superior normalized mean square error and cosine similarity with comparable complexity compared to existing advanced CSI feedback methods. 展开更多
关键词 CSI feedback deep learning dual attention module(DAM) massive MIMO
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ADGRG1-targeted hypoxia preconditioned extracellular vesicles ameliorate intervertebral disc degeneration by delivering taurine to disrupt the oxidative stress feedback loop-driven ferroptosis in nucleus pulposus cells 认领 引用
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作者 Shang Chen Shu Jia +14 位作者 Xutao Fan Laimin Zhu Bao Qi Fenglian Yan Xu Gao Lu Zhang Sheng Gao Jun Shao Tao Yang Shudong Li Guowu Chen Huabao Xiong Zongjin Li Yanke Hao Chunyang Meng 《Bioactive Materials》 SCIE CSCD 2026年第7期534-554,共21页
Cervical spondylosis and low back pain caused by intervertebral disc degeneration(IVDD)are among the leading causes of clinical disability.Although excessive reactive oxygen species(ROS)are established drivers of IVDD... Cervical spondylosis and low back pain caused by intervertebral disc degeneration(IVDD)are among the leading causes of clinical disability.Although excessive reactive oxygen species(ROS)are established drivers of IVDD,the mechanisms linking ROS accumulation to disc cell dysfunction,cell death programs,and disruption of intervertebral disc tissue homeostasis remain insufficiently elucidated,limiting the development of effective redox-targeted therapies.Here,we revealed the"ROS-Mitochondrial dysfunction-Ferritinophagy"oxidative stress feedback loop serves as the central mechanism driving ROS-induced nucleus pulposus cell(NPC)ferroptosis to promote IVDD progression.Furthermore,we identified the membrane protein ADGRG1 as a biomarker of ROSinduced ferroptosis in injured NPCs and developed ADGRG1-tethered peptide(A1TP)-modified hypoxia pre-conditioned extracellular vesicles(HX-EVs)with targeted antioxidant therapeutic potential.The engineered HXEVs selectively accumulated in injured NPCs and delivered high levels of taurine,which bound to LKB1(Glu165,Arg301)and MO25(Arg194,Leu197)residues to facilitate the assembly of the LKB1-STRAD-MO25 kinase complex.This interaction regulated the expression of NCOA4 and TFAM by activating the AMPK/NRF2 signaling pathway,which suppressed ferritinophagy,enhanced mitochondrial repair and regeneration,and protected NPCs from ROS-induced ferroptosis,ultimately facilitating the repair of degenerated intervertebral discs.In summary,the A1TP-HX-EV system developed in this study provides a promising theranostic application for IVDD and offers valuable insights into the mechanisms of targeted HX-EV delivery and intervertebral disc regeneration. 展开更多
关键词 Intervertebral disc degeneration Engineering extracellular vesicles ADGRG1 Taurine Oxidative stress feedback loop Ferroptosis
Deep CSI Compression and Feedback for Massive MIMO:A Survey 认领 引用
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作者 Lu Zhaohua Yi Chenyang +2 位作者 Wu Jie Shao Bo Xu Wei 《ZTE Communications》 2026年第1期4-15,共12页
To achieve the potential performance gain of massive multiple-input multiple-output(MIMO)systems,base stations(BS)require downlink channel state information(CSI)fed back by users to execute beamforming design,especial... To achieve the potential performance gain of massive multiple-input multiple-output(MIMO)systems,base stations(BS)require downlink channel state information(CSI)fed back by users to execute beamforming design,especially in the frequency division duplex(FDD)systems.However,due to the enormous number of antennas in massive MIMO systems,the feedback overhead of downlink CSI acquisition is extremely large.To address this issue,deep learning(DL)techniques have been introduced to de velop high-accuracy feedback strategies under limited backhaul constraints.In this paper,we provide an overview of DL-based CSI compression and feedback approaches in massive MIMO systems.Specifically,we introduce the conventional CSI compression and feedback schemes and the existing problems.Besides,we elaborate on various DL techniques employed in CSI compression from the perspective of network architecture and analyze the advantages of different techniques.We also enumerate the applications of DL-based methods for solving practical challenges in CSI compression and feedback.In addition,we brief the remaining issues in deep CSI compression and indicate potential directions in future wireless networks. 展开更多
关键词 deep learning MIMO CSI compression limited feedback FDD system
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Self-Presentation on WeChat Moments and Ego Identity in Emerging Adults:The Role of Online Positive Feedback and Gender 认领 引用
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作者 Shuqing Wang Xiaorui Zhu +2 位作者 Xin Gao Jialing Deng Xiumei Yan 《International Journal of Mental Health Promotion》 2026年第3期183-204,共22页
Background:Emerging adulthood is a critical period for ego identity exploration and consolidation,and self-presentation on social media constitutes a salient online context for this developmental process.However,limit... Background:Emerging adulthood is a critical period for ego identity exploration and consolidation,and self-presentation on social media constitutes a salient online context for this developmental process.However,limited research has explored the associations between self-presentation on WeChat Moments and ego identity.This study aims to examine these associations,focusing on the mediating role of online positive feedback and the moderating role of gender.Methods:Using a three-wave longitudinal design,this study followed 767 Chinese college students(Mean age=18.96 years)through cluster sampling.Participants completed self-report questionnaires assessing self-presentation on WeChat Moments,online positive feedback,and ego identity status.Data analyses were conducted using mediation modeling and multi-group structural equation modeling.Results:Authentic self-presentation was positively associated with identity achievement and negatively associated with identity diffusion,whereas positive self-presentation was linked to higher levels of identity foreclosure.Online positive feedback played a significant mediating role in the associations between self-presentation strategies and identity statuses,and gender differences were observed in this mediating pathway.For both males and females,authentic self-presentation was associated with higher identity achievement through online positive feedback.However,indirect associations with identity foreclosure and diffusion were observed only among females:authentic self-presentation was linked to lower levels,whereas positive self-presentation was linked to higher levels of foreclosure and diffusion through online positive feedback.No comparable indirect associations were detected among males.Conclusions:Online positive feedback is closely linked to self-presentation strategies and ego identity statuses,with these associations varying by gender. 展开更多
关键词 Self-presentation on WeChat moments ego identity online positive feedback emerging adults
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DPR-FL:A Dual-Path Retrieval Method with Fusion-Based Filtering and LLM Feedback 认领 引用
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作者 Wei Jiang Weichao Zhang +2 位作者 Haochen Sun Yao Meng Jiayi Wu 《Computers, Materials & Continua》 SCIE EI 2026年第9期1987-2003,共17页
Faced with the surge of massive natural-language content,information retrieval systems must handle increasingly complex queries while filtering noisy information effectively.Although conventional approaches have made ... Faced with the surge of massive natural-language content,information retrieval systems must handle increasingly complex queries while filtering noisy information effectively.Although conventional approaches have made notable progress in matching efficiency and general adaptability,they still struggle to precisely model deep semantic associations between query intent and documents in real-world environments.Such limitations can lead to ranking deviations and omission of critical information.Motivated by recent advances in large language models(LLMs)and their capability to capture deep semantics,we propose DPR-FL,a Dual-Path Retrieval method that integrates fusion-based Filtering with structured LLM Feedback.It combines direct retrieval with a generation-guided retrieval process to form cooperative information flows.By fusing candidate results from multiple sources,applying a high-dimensional semantic filtering strategy,and leveraging LLM-based semantic feedback,DPR-FL refines and optimizes the selection of relevant documents,improving both coverage and relevance.Furthermore,the framework supports adaptive weighting of candidate sources and semantic signals,enhancing robustness in heterogeneous retrieval scenarios.Together,these components enable finer-grained information selection and semantic enrichment,substantially improving retrieval performance and result reliability in complex contexts.Experimental evaluations on standard web search benchmarks,including TREC-DL’19 and DL’20,as well as low-resource BEIR datasets,demonstrate that DPR-FL achieves measurable gains across key metrics such as NDCG@10 and MAP,showing improved generalization,robustness,and adaptability in zero-shot retrieval settings. 展开更多
关键词 Information retrieval dual-path retrieval fusion-based filtering large language models semantic feedback
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THRESHOLD ANALYSIS OF IMPULSIVE CONTROL IN A MOSQUITO POPULATION SUPPRESSION MODEL WITH SPARSE STATE FEEDBACK 认领 引用
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作者 Shouzong LIU Yang XU Mingzhan HUANG 《Acta Mathematica Scientia》 SCIE CSCD 2026年第2期897-919,共23页
In this study,a mosquito population suppression model that integrates stage structure is introduced,which serves as the foundation for exploring various strategies for the periodic impulsive release of sterile mosquit... In this study,a mosquito population suppression model that integrates stage structure is introduced,which serves as the foundation for exploring various strategies for the periodic impulsive release of sterile mosquitoes,including those that either incorporate or disregard population state feedback,as well as a composite control approach.We identify release thresholds under different strategies that ensure the complete eradication of the wild mosquito population.Numerical analyses are conducted to evaluate the performance of these release strategies.Our findings reveal that integrating state feedback mechanisms can effectively prevent the blindness of release behaviors.Key factors such as the release interval,frequency of population assessments,and control intensity significantly influence the reduction of the cumulative release quantity of sterile mosquitoes,the shortening of control duration,and the decrease in effective release events.The influence of these factors on control outcomes across different strategies and scenarios is also examined. 展开更多
关键词 mosquito population suppression model periodic impulsive release sparse state feedback extinction equilibrium
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Optimized Design of Cu-Ni-Co-Si Alloy Combining Machine Learning and Experimental Feedback 认领 引用
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作者 Shifang Li Jiachen Han +1 位作者 Zhu Xiao Zhou Li 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期563-578,共16页
The machine learning method was employed to accelerate alloy design,and experimental feedback was provided to enhance predictive accuracy.A Cu-2.7Ni-1.0Co-0.8Si alloy with superior properties was selected using a doub... The machine learning method was employed to accelerate alloy design,and experimental feedback was provided to enhance predictive accuracy.A Cu-2.7Ni-1.0Co-0.8Si alloy with superior properties was selected using a double-objective optimization algorithm.The microstructure and properties of the designed alloy subjected to thermomechanical treatment were investigated systematically.The role of the key alloying element Co was discussed via first-principles calculations.The results showed that the designed alloy exhibited favorable comprehensive properties,with a microhardness of 283 HV,a tensile strength of1006 MPa,and an electrical conductivity of 41.3%IACS.The strength was mainly attributed to the combined effects of dislocation strengthening and precipitation strengthening,whereas the electrical conductivity was primarily limited by the solubility of solute atoms.The addition of an appropriate content of Co accelerated precipitation and increased the volume fraction of the precipitates,thereby synergistically enhancing the mechanical properties and electrical conductivity.This was attributed to the effect of Co on increasing the vacancy binding energy and decreasing the formation enthalpy of the precipitates. 展开更多
关键词 Cu‑Ni‑Co‑Si alloys experimental feedback first‑principles calculations machine learning
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Fixed-Structure Robust Feedback Linearization for Full Relative Degree Nonlinear Systems 认领 引用
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作者 Vlad Mihaly MirceaȘușcă Petru Dobra 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第10期2026-2039,共14页
The exact feedback linearization method implies an accurate knowledge of the model and its parameters.This assumption is an inherent limitation of the method,suffering from robustness issues.In general,the model struc... The exact feedback linearization method implies an accurate knowledge of the model and its parameters.This assumption is an inherent limitation of the method,suffering from robustness issues.In general,the model structure is only partially known and its parameters present uncertainties.The current paper extends the classical exact feedback linearization to the robust feedback linearization by adding an appropriatelydesigned robust control layer.This is then able to ensure robust stability and robust performance for the given uncertain system in a desired region of attraction.We consider the case of full relative degree input-affine nonlinear systems,which are of great practical importance in the literature.The inner loop contains the feedback linearization input for the nominal system and the resulting residual nonlinearities can always be characterized as inverse additive uncertainties.The constructive proofs provide exact representations of the uncertainty models in three considered scenarios:unmatched,fully-matched,and partially-matched uncertainties.The uncertainty model will be a descriptor system,which also represents one of the novelties of the paper.Our approach leads to a simplified control structure and a less conservative coverage of the uncertainty set compared to current alternatives.The end-to-end procedure is emphasized on an illustrative example,in two different hypotheses. 展开更多
关键词 Feedback linearization nonlinear control robustness uncertain nonlinear systems
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An overview of Arctic organic aerosols: from composition to cloud feedbacks 认领 引用 被引量：1
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作者 ZHANG Shuhang XU Guojie CHEN Liqi 《Advances in Polar Science》 CSCD 2026年第2期142-154,共13页
As one of the most susceptible components of the global climate system, the Arctic undergoes rapid changes where aerosol properties play a pivotal role in modulating regional radiation budgets and climate feedbacks. A... As one of the most susceptible components of the global climate system, the Arctic undergoes rapid changes where aerosol properties play a pivotal role in modulating regional radiation budgets and climate feedbacks. Amid intensified Arctic amplification and expanding anthropogenic footprints, the chemical composition, sources, and cloud condensation nuclei activity of Arctic organic aerosols(OA) have emerged as critical research frontiers. This review synthesizes current knowledge on the seasonal dynamics and physicochemical evolution of Arctic OA, with a particular emphasis on secondary organic aerosols formation pathways. We evaluate the complex interplay between indigenous marine biogenic emissions, long-range transported pollutants, and episodic biomass burning. Emerging evidence indicates that the cloud condensation nuclei potential of Arctic OA is fundamentally governed by their molecular-level oxidation state and phase state, which collectively reshape cloud microphysics and radiative forcing. This synthesis underscores the necessity of integrating multiphase chemistry into the aerosol-cloud climate feedback loop to bolster the reliability of climate models in the context of rapid Arctic amplification. 展开更多
关键词 Arctic organic aerosols cloud condensation nuclei aerosol-cloud interactions climate feedback
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Deep learning aided CSI feedback optimization with robust error recovery 认领 引用
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作者 Bo Yang Zhanglin Zhou +3 位作者 Nanqi Fan Feng Ke Jie Tang Xiu Yin Zhang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期354-363,共10页
Driven by the increasing demand for efficient data transmission,massive Multiple-Input Multiple-Output(MIMO)systems have emerged as a key technology for future communication systems.However,effective utilization of MI... Driven by the increasing demand for efficient data transmission,massive Multiple-Input Multiple-Output(MIMO)systems have emerged as a key technology for future communication systems.However,effective utilization of MIMO relies heavily on accurate Channel State Information(CSI)that is fed back to the base station,which poses significant challenges due to the overhead associated with CSI feedback,especially with the increasing number of antennas.To overcome these drawbacks,this paper proposes a Deep Learning(DL)scheme to improve the CSI feedback,presenting a network named CsiDNet,which compresses CSI at the user end and decompresses it at the base station side.In addition,an auxiliary module is designed to restore CSI information under error-prone scenarios,enhancing the robustness of the system.Extensive performance analysis and simulations demonstrate that CsiDNet achieves an improvement of 2.7 dB and 0.1 dB in terms of Normalized Mean Square Error(NMSE)and Square Generalized Cosine Similarity(SGCS)respectively compared to other models,while significantly reducing computational complexity.The auxiliary module further improves the NMSE and SGCS performance by4 dB and 0.1 dB respectively,reflecting its effectiveness in recovering error-prone CSI components.Overall,our research improves the accuracy and efficiency of CSI feedback while enhancing the system's robustness against real-world transmission challenges. 展开更多
关键词 CSI feedback Deep Learning MIMO Packet loss
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The art of feedback:crafting mentorship in medicine 认领 引用
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作者 Yena Jang Sophia Choi Karl Golnik 《Annals of Eye Science》 2026年第1期99-104,共6页
Mentorship and effective feedback are crucial parts of medicine that frequently get pushed aside for the more objective assessments in medical education.Effective mentorship can influence career choice,shape identity ... Mentorship and effective feedback are crucial parts of medicine that frequently get pushed aside for the more objective assessments in medical education.Effective mentorship can influence career choice,shape identity formation,and foster a sense of belonging for mentees in medicine.Conversely,unproductive mentorship and feedback founded on poor communication or lack of commitment can leave mentees disillusioned with academic medicine and can impair their confidence or motivation in their career path.Despite the influence that quality mentorship holds,several barriers to constructive feedback and effective mentorship exist.These barriers include the fast-paced nature of clinical settings as well as the brevity of mentor to mentee interactions that limit personalized and genuine advice that mentees receive.Additionally,many mentors in medicine fail to have a systematic method of providing feedback that would benefit the mentee.It is imperative for feedback and mentorship to be addressed now more than ever because of the high prevalence of physician burn-out and overwhelming stress levels in the medical field,especially after the coronavirus disease 2019 pandemic.Mentorship should be a personal,genuine,and longitudinal“coaching”that incorporates effective feedback following an Ask-Tell-Ask format where self-assessment is embedded into the process.The most important aspect of implementing these methods involves embracing these practices into the academic curriculum through workshops and simulated teaching sessions where mentors can learn and practice giving meaningful feedback.The intent of this manuscript is to review best practices in providing effective feedback. 展开更多
关键词 Mentorship feedback communication ophthalmology neuro-ophthalmology
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Coprime factors based robust control-oriented identification of errors-in-variables systems in output feedbacks 认领 引用
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作者 Li-Hui Geng Guo-Feng Ji Yong-Li Zhang 《Control Theory and Technology》 EI CSCD 2026年第1期127-142,共16页
This paper proposes a robust control-oriented identification method for errors-in-variables(EIV)systems in output feedbacks using frequency-response(FR)experimental data.An important relation between such a closed-loo... This paper proposes a robust control-oriented identification method for errors-in-variables(EIV)systems in output feedbacks using frequency-response(FR)experimental data.An important relation between such a closed-loop EIV system and its coprime factor(CF)uncertainty description is first derived,based on which the FR measurements suitable for plant CF identification are able to be generated.Different factorizations of a given controller in the closed-loop system can be made best use to adjust right coprime factors(RCFs)of the plant so as to realize an improvement on the signal-to-noise ratio of identification experimental data.Subsequently,a nominal RCF model is estimated by linear matrix inequalities from the applicable FR measurements and its associated worst-case errors are quantified from a priori and a posteriori information on the underlying system.A resulting RCF perturbation model set can then be described by the nominal RCF model and its worst-case error bounds.Such a model set capable of being stabilized by the given controller is ready for its robust stabilizing controller redesign and robust performance analysis.Finally,a numerical simulation is given to show the efficacy of the proposed identification method. 展开更多
关键词 Robust control-oriented identification Errors-in-variables system Output feedback Right coprime factors Frequency response
Probabilistic distribution and stochastic P-bifurcation of a nonlinear energy-regenerative suspension system with time-delayed feedback control 认领 引用
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作者 Zhao-Bin Zeng Ya-Hui Sun Yang Liu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第1期322-330,共9页
Energy-regenerative suspension combined with piezoelectric and electromagnetic transduction has evolved into a core technological pathway in advancing automotive design paradigms.With the aim of improving energy harve... Energy-regenerative suspension combined with piezoelectric and electromagnetic transduction has evolved into a core technological pathway in advancing automotive design paradigms.With the aim of improving energy harvesting performance,time-delayed feedback control is widely used in an energy-regenerative suspension system under different external disturbances in this paper.Meanwhile,limited research has addressed the stochastic dynamics of time-delayed nonlinear energy-regenerative suspension systems.Different from previous studies,this work studies the stochastic response and P-bifurcation of the nonlinear energy-regenerative suspension system with time-delayed feedback control.Firstly,an approximately equivalent dimension reduction system is established by the variable transformation method,and then the stationary probability density function of amplitude is obtained by the stochastic averaging method.Secondly,the precision of the method used in this work is verified by comparing the numerical solutions with the analytical results.Finally,based on the stationary probability density function,the influence of system parameters on stochastic P-bifurcation and the mean output power is discussed. 展开更多
关键词 energy-regenerative suspension stochastic P-bifurcation stochastic resonance time-delayed feedback control
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The Secondary Motor Cortex-External Globus Pallidus Pathway Regulates Auditory Feedback of Volitional Control 认领 引用
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作者 Shengtao Luo Yuchen Fan +7 位作者 Feiyang Yu Xiaopeng Zhou Ke Hu Hang Yi Hui Zhou Tao Li Jiang-Fan Chen Liping Zhang 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第6期1218-1234,共17页
Effective use of brain-computer interfaces(BCIs)requires the ability to suppress a planned action(volitional inhibition)for adaptable control in real-world scenarios,but their mechanisms are unclear.Here,we used fiber... Effective use of brain-computer interfaces(BCIs)requires the ability to suppress a planned action(volitional inhibition)for adaptable control in real-world scenarios,but their mechanisms are unclear.Here,we used fiber photometry to monitor external globus pallidus(GPe)and subthalamic nucleus(STN)neurons’activity in mice during a volitional stop-signal task(67%GO,33%NO-GO).GPe/STN neurons(receiving M2 projections)responded to auditory cues,feedback,and rewards in both trials.Importantly,chemogenetic activation of the M2-GPe pathway enhanced volitional inhibition by modulating auditory feedback response,yet inhibited GPe neurons’feedback response.Furthermore,time-locked optogenetic inhibition of M2-projecting GPe neurons at auditory feedback also enhanced volitional inhibition via prolonged GO trial response times.Collectively,these findings identified the M2-GPe pathway for auditory biofeedback to improve volitional control,offering novel avenues for the advancement of neural interfaces for biofeedback and enhancement of BCI efficacy. 展开更多
关键词 Auditory feedback Biofeedback Volitional control Volitional inhibition BCI Secondary motor cortex(M2) External globus pallidus(GPe)
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De-blocking adaptive feedback control design for shared-buffer CIOQ switching architecture 认领 引用
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作者 Rui ZHENG Jianliang SHEN +4 位作者 Fan ZHANG Ping LV Peijie LI Yu SHAO Zhengbin ZHU 《ENGINEERING Information Technology & Electronic Engineering》 SCIE EI CSCD 2026年第3期1-18,共18页
To address the issues of head-of-line(HOL)blocking at the virtual output queue(VOQ)level,packet loss,and congestion spreading caused by buffer overflow in the shared-buffer-based combined input and output queued(CIOQ)... To address the issues of head-of-line(HOL)blocking at the virtual output queue(VOQ)level,packet loss,and congestion spreading caused by buffer overflow in the shared-buffer-based combined input and output queued(CIOQ)switching architecture,while enhancing its performance and stability,we propose a de-blocking adaptive feedback control(AFC)design in this study.The introduction of the credit timeout detection mechanism(CTDM)enables the CIOQ to achieve theoretical 100%non-blocking state,effectively eliminating the impact of HOL blocking.With the combined effect of the proposed VOQ dynamic regulation algorithm(VDRA)and threshold dynamic adaptive algorithm(TDAA),it can reduce the risk of congestion spreading caused by buffer overflow and consequently improve the overall performance of the system.Both theoretical analysis and experimental results demonstrate that,under typical traffic conditions,the proposed design achieves a maximum throughput of 1499.66 Gb/s and a minimum latency of 83 ns.Additionally,the effective throughput ratio reaches 96.94%,with a data link layer packet(DLLP)loss ratio of merely 0.61%and a packet loss rate as low as 0.6%.In comparison with traditional CIOQ and input queued(IQ)switch architectures,the proposed design demonstrates improvements in throughput by 15.12%and 20.55%,and forwarding latency is reduced by 26.9%and 54.7%,respectively,and the system stability is stronger,which can fully satisfy the demand for data exchange in complex situations. 展开更多
关键词 Shared-buffer CIOQ switching architecture Head-of-line(HOL)blocking Congestion spreading Adaptive feedback control(AFC) Peripheral component interconnect express(PCIe)interconnect protocol
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