One-dimensional perovskites possess unique photoelectric properties that distinguish them from other perovskitetypes, making them a focal point in photoelectric research. In recent years, there has been a significant ...One-dimensional perovskites possess unique photoelectric properties that distinguish them from other perovskitetypes, making them a focal point in photoelectric research. In recent years, there has been a significant surge ininterest surrounding the synthesis and application of one-dimensional anisotropic perovskites, spurred by ad-vancementsin synthesis techniques and notable breakthroughs in novel methodologies and application proper-ties.This article provides a comprehensive review of the progress made in research on one-dimensionalanisotropic perovskites, detailing the synthesis mechanisms and potential pathways for performance enhance-mentin various applications. We highlight the crucial role of controllable synthesis and heterogeneous effect intailoring perovskite properties to boost application efficacy. Initially, this review examines the primary synthesismethods and mechanisms for creating heterogeneously induced one-dimensional anisotropic perovskites, cate-gorizingthem into two main approaches: the classical wet chemical synthesis, which utilizes selective ligands, andthe ligand-free, substrate-assisted method. The precision in controllable synthesis is essential for fabricatingheterogeneous structures, where the synthesized precursor, shape, and surface ligand significantly influence theinterfacial strength of the heterogenic interface. We also discuss the key features that must be improved for high-performanceapplications, exploring how heterogeneous effects can enhance performance and drive the devel-opmentof heterogeneous devices in various applications, such as photodetectors, solar cells, light-emitting di-odes,and photocatalysis. Conclusively, by highlighting the emerging potential and promising opportunitiesoffered by strategic heterogeneous construction, we forecast a dynamic and transformative future for their pro-ductionand application landscapes.展开更多
The Trendelenburg position and reverse Trendelenburg position are frequently employed during lower abdominal surgery to achieve optimal surgical field visualization and complete exposure of the operative site, particu...The Trendelenburg position and reverse Trendelenburg position are frequently employed during lower abdominal surgery to achieve optimal surgical field visualization and complete exposure of the operative site, particularly under pneumoperitoneum conditions. However, these positions can have significant impacts on the patient’s physiological functions. This article overviews the historical background of Trendelenburg position and reverse Trendelenbury position, their effects on various physiological functions, recent advancements in their clinical applications, and strategies for preventing and managing associated complications.展开更多
The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is...The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is profoundly influenced by nanoscale factors,including interface properties and material characteristics,highlighting the critical need for a comprehensive understanding of these parameters to unlock their full potential.This paper summarizes the recent advances in advanced fiber composite TENGs(FC-TENGs),especially electrospun nanofibers,with a focus on key nanoscale properties,covering triboelectric layer interface characteristics,dielectric constant,electron affinity,and crystal phase,all of which are fundamental to optimizing their output performance.Additionally,it explores emerging applications of FC-TENGs in wearable electronics,self-powered sensors,wireless communication systems,human-machine interfaces,and modern healthcare technologies.The review concludes by addressing existing challenges,evaluating future opportunities,and outlining research directions for advancing FC-TENGs.By bridging foundational material science with innovative applications,this review seeks to inspire the development of high-performance,self-powered electrospun composite tribovoltaic nanogenerators,paving the way for a wireless,artificial intelligence(AI)-enabled IoT era.展开更多
Carbon-based fiber materials are widely used in aerospace,military,and electronics owing to their outstanding comprehensive properties.However,the high degree of crystallization and chemical inertness of their surface...Carbon-based fiber materials are widely used in aerospace,military,and electronics owing to their outstanding comprehensive properties.However,the high degree of crystallization and chemical inertness of their surfaces impede the coloring of such materials by traditional dyeing methods,thereby limiting their application in a broader field.Exploring advanced micro/nano-processing technology for colored carbon-based fiber materials has become a growing interdisciplinary research area in recent years.Therefore,this review comprehensively discusses the structure‒color‒function relationships of carbon-based fiber materials.The structure of carbon-based fiber materials and their properties responsible for challenges in coloring by traditional dyeing methods are discussed.Moreover,the color-generating mechanisms underlying the display of structural colors by living organisms due to fundamental optical phenomena,including thin/multilayer-film interference,diffraction grating,scattering,and photonic crystals,are described.Furthermore,recent progress in bio-inspirated colored carbon-based fiber materials prepared via advanced micro/nanoscale manufacturing strategies is reviewed.In addition,emerging applications of colored carbon-based fiber materials in various fields are presented.Finally,the possible challenges and future directions for the design,large-scale production,and application of colored carbon-based fibermaterials and their composites are discussed,aiming to promote the material design of innovative next-generation systems and research in the advanced material and related engineering fields.展开更多
The fact that InN has a direct bandgap of 0.75eV enables InN-based nitrides devices to cover the wavelength range from UV region to 1.8μm, therefore, emerging as a new material system for optical communication applic...The fact that InN has a direct bandgap of 0.75eV enables InN-based nitrides devices to cover the wavelength range from UV region to 1.8μm, therefore, emerging as a new material system for optical communication applications.展开更多
Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation...Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation to optimize trafficmanagement and enhance urban mobility and sustainability.However,traditional predictivemodels struggle to capture long-term temporal dependencies and are computationally intensive,limiting their practicality in real-time.Moreover,many approaches overlook the periodic characteristics inherent in traffic data,further impacting performance.To address these challenges,we introduce ST-MambaGCN,a State-Space-Based Spatio-Temporal Graph Convolution Network.Unlike conventionalmodels,ST-MambaGCN replaces the temporal attention layer withMamba,a state-space model that efficiently captures long-term dependencies with near-linear computational complexity.The model combines Chebyshev polynomial-based graph convolutional networks(GCN)to explore spatial correlations.Additionally,we incorporate a multi-temporal feature capture mechanism,where the final integrated features are generated through the Hadamard product based on learnable parameters.This mechanism explicitly models shortterm,daily,and weekly traffic patterns to enhance the network’s awareness of traffic periodicity.Extensive experiments on the PeMS04 and PeMS08 datasets demonstrate that ST-MambaGCN significantly outperforms existing benchmarks,offering substantial improvements in both prediction accuracy and computational efficiency for long-term traffic flow prediction.展开更多
Low-dimensional black phosphorus(BP)is a class of nanomaterial derived from layered semiconductor BP which has gained tremendous attention in a variety of fields,owing to its uncommon structural features and appealing...Low-dimensional black phosphorus(BP)is a class of nanomaterial derived from layered semiconductor BP which has gained tremendous attention in a variety of fields,owing to its uncommon structural features and appealing physical properties.More surprisingly,it has addressed current biomedical obstacles due to its orthorhombic puckered honeycomb crystal structure and unique properties such as tunable direct-bandgap,high carrier mobility,and exceptional photo-responsiveness.However,few reviews have focused on the interactions of low-dimensional BP’s physical properties with its biomedical performances.Herein,we discuss the physical properties of low-dimensional BP and potential biomedical applications associated with these physical properties.Moreover,different preparation methods,surface modification techniques,and future challenges,as well as future outlooks,are presented.This comprehensive review will provide a clear understanding of the relationship between lowdimensional BP’s physical properties and biomedical performances,with the ultimate goal of better knowledge of utilizing BP.展开更多
基金supported by the National Natural Science Foundation of China(22272065)the Natural Science Foundation of Jiangsu Province(BK20211530)+1 种基金the Fundamental Research Funds for the Central Universities(JUSRP62218)the Key Research and Development Special Project of Yi'chun City,Jiangxi Province,China(2023ZDYFZX06).
文摘One-dimensional perovskites possess unique photoelectric properties that distinguish them from other perovskitetypes, making them a focal point in photoelectric research. In recent years, there has been a significant surge ininterest surrounding the synthesis and application of one-dimensional anisotropic perovskites, spurred by ad-vancementsin synthesis techniques and notable breakthroughs in novel methodologies and application proper-ties.This article provides a comprehensive review of the progress made in research on one-dimensionalanisotropic perovskites, detailing the synthesis mechanisms and potential pathways for performance enhance-mentin various applications. We highlight the crucial role of controllable synthesis and heterogeneous effect intailoring perovskite properties to boost application efficacy. Initially, this review examines the primary synthesismethods and mechanisms for creating heterogeneously induced one-dimensional anisotropic perovskites, cate-gorizingthem into two main approaches: the classical wet chemical synthesis, which utilizes selective ligands, andthe ligand-free, substrate-assisted method. The precision in controllable synthesis is essential for fabricatingheterogeneous structures, where the synthesized precursor, shape, and surface ligand significantly influence theinterfacial strength of the heterogenic interface. We also discuss the key features that must be improved for high-performanceapplications, exploring how heterogeneous effects can enhance performance and drive the devel-opmentof heterogeneous devices in various applications, such as photodetectors, solar cells, light-emitting di-odes,and photocatalysis. Conclusively, by highlighting the emerging potential and promising opportunitiesoffered by strategic heterogeneous construction, we forecast a dynamic and transformative future for their pro-ductionand application landscapes.
基金This study was supported by 2021 Jiaxing Key Discipline of Medicine(2021-GFXK-01).
文摘The Trendelenburg position and reverse Trendelenburg position are frequently employed during lower abdominal surgery to achieve optimal surgical field visualization and complete exposure of the operative site, particularly under pneumoperitoneum conditions. However, these positions can have significant impacts on the patient’s physiological functions. This article overviews the historical background of Trendelenburg position and reverse Trendelenbury position, their effects on various physiological functions, recent advancements in their clinical applications, and strategies for preventing and managing associated complications.
基金financially supported by the National Natural Science Foundation of China(52127811,51975120)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX25_0096)。
文摘The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is profoundly influenced by nanoscale factors,including interface properties and material characteristics,highlighting the critical need for a comprehensive understanding of these parameters to unlock their full potential.This paper summarizes the recent advances in advanced fiber composite TENGs(FC-TENGs),especially electrospun nanofibers,with a focus on key nanoscale properties,covering triboelectric layer interface characteristics,dielectric constant,electron affinity,and crystal phase,all of which are fundamental to optimizing their output performance.Additionally,it explores emerging applications of FC-TENGs in wearable electronics,self-powered sensors,wireless communication systems,human-machine interfaces,and modern healthcare technologies.The review concludes by addressing existing challenges,evaluating future opportunities,and outlining research directions for advancing FC-TENGs.By bridging foundational material science with innovative applications,this review seeks to inspire the development of high-performance,self-powered electrospun composite tribovoltaic nanogenerators,paving the way for a wireless,artificial intelligence(AI)-enabled IoT era.
基金National Natural Science Foundation of China,Grant/Award Number:52373085Natural Science Foundation of Hubei Province,Grant/Award Number:2023AFB828+2 种基金Innovative Team Program of Natural Science Foundation of Hubei Province,Grant/Award Number:2023AFA027Open Fund for Hubei Key Laboratory of Digital Textile Equipment,Grant/Award Number:DTL 2023022Open Fund for National Local Joint Laboratory for Advanced Textile Processing and Clean Production,Grant/Award Number:17。
文摘Carbon-based fiber materials are widely used in aerospace,military,and electronics owing to their outstanding comprehensive properties.However,the high degree of crystallization and chemical inertness of their surfaces impede the coloring of such materials by traditional dyeing methods,thereby limiting their application in a broader field.Exploring advanced micro/nano-processing technology for colored carbon-based fiber materials has become a growing interdisciplinary research area in recent years.Therefore,this review comprehensively discusses the structure‒color‒function relationships of carbon-based fiber materials.The structure of carbon-based fiber materials and their properties responsible for challenges in coloring by traditional dyeing methods are discussed.Moreover,the color-generating mechanisms underlying the display of structural colors by living organisms due to fundamental optical phenomena,including thin/multilayer-film interference,diffraction grating,scattering,and photonic crystals,are described.Furthermore,recent progress in bio-inspirated colored carbon-based fiber materials prepared via advanced micro/nanoscale manufacturing strategies is reviewed.In addition,emerging applications of colored carbon-based fiber materials in various fields are presented.Finally,the possible challenges and future directions for the design,large-scale production,and application of colored carbon-based fibermaterials and their composites are discussed,aiming to promote the material design of innovative next-generation systems and research in the advanced material and related engineering fields.
文摘The fact that InN has a direct bandgap of 0.75eV enables InN-based nitrides devices to cover the wavelength range from UV region to 1.8μm, therefore, emerging as a new material system for optical communication applications.
基金supported byNationalNatural Science Foundation of China,GrantNo.62402046the Beijing Forestry University Science and Technology Innovation Project under Grant No.BLX202358.
文摘Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation to optimize trafficmanagement and enhance urban mobility and sustainability.However,traditional predictivemodels struggle to capture long-term temporal dependencies and are computationally intensive,limiting their practicality in real-time.Moreover,many approaches overlook the periodic characteristics inherent in traffic data,further impacting performance.To address these challenges,we introduce ST-MambaGCN,a State-Space-Based Spatio-Temporal Graph Convolution Network.Unlike conventionalmodels,ST-MambaGCN replaces the temporal attention layer withMamba,a state-space model that efficiently captures long-term dependencies with near-linear computational complexity.The model combines Chebyshev polynomial-based graph convolutional networks(GCN)to explore spatial correlations.Additionally,we incorporate a multi-temporal feature capture mechanism,where the final integrated features are generated through the Hadamard product based on learnable parameters.This mechanism explicitly models shortterm,daily,and weekly traffic patterns to enhance the network’s awareness of traffic periodicity.Extensive experiments on the PeMS04 and PeMS08 datasets demonstrate that ST-MambaGCN significantly outperforms existing benchmarks,offering substantial improvements in both prediction accuracy and computational efficiency for long-term traffic flow prediction.
基金supported by the National Key Research and Development Program of China(No.2020YFA0210800)the Major Project of Science and Technology of Fujian Province(2020HZ06006)+2 种基金the National Natural Science Foundation of China(No.22027805,21804068,U21A20377 and 21874024)the joint re-search projects of Health and Education Commission of Fujian Province(No.2019-WJ-20)the Natural Science Foundation of Fujian Province(No.2020J02012)。
文摘Low-dimensional black phosphorus(BP)is a class of nanomaterial derived from layered semiconductor BP which has gained tremendous attention in a variety of fields,owing to its uncommon structural features and appealing physical properties.More surprisingly,it has addressed current biomedical obstacles due to its orthorhombic puckered honeycomb crystal structure and unique properties such as tunable direct-bandgap,high carrier mobility,and exceptional photo-responsiveness.However,few reviews have focused on the interactions of low-dimensional BP’s physical properties with its biomedical performances.Herein,we discuss the physical properties of low-dimensional BP and potential biomedical applications associated with these physical properties.Moreover,different preparation methods,surface modification techniques,and future challenges,as well as future outlooks,are presented.This comprehensive review will provide a clear understanding of the relationship between lowdimensional BP’s physical properties and biomedical performances,with the ultimate goal of better knowledge of utilizing BP.
