Raman spectroscopy offers a great power to detect,analyze and identify molecules,and monitor their temporal dynamics and evolution when combined with single-molecule surface-enhanced Raman scattering(SM-SERS)substrate...Raman spectroscopy offers a great power to detect,analyze and identify molecules,and monitor their temporal dynamics and evolution when combined with single-molecule surface-enhanced Raman scattering(SM-SERS)substrates.Here we present a SM-SERS scheme that involves simultaneously giant chemical enhancement from WS22D materials,giant electromagnetic enhancement from plasmonic nanogap hot spot,and inhibition of molecular fluorescence influence under near-infrared laser illumination.Remarkably we find Coulomb attraction between analyte and gold nanoparticle can trigger spontaneous formation of molecule-hotspot pairing with high precision,stability and robustness.The scheme has enabled realization of universal,robust,fast,and large-scale uniform SM-SERS detection for three Raman molecules of rhodamine B,rhodamine 6G,and crystal violet with a very low detection limit of 10−16 M and at a very fast spectrum acquisition time of 50 ms.展开更多
The search for photoactive materials that are able to efficiently produce solar fuels is a growing research field to tackle the current energy crisis.Herein,we have prepared two ionic non-noble metallo-supramolecular ...The search for photoactive materials that are able to efficiently produce solar fuels is a growing research field to tackle the current energy crisis.Herein,we have prepared two ionic non-noble metallo-supramolecular polymers Se-MTpy(M=Co or Ni),and constructed their composites with single-walled carbon nanotubes(CNTs)via electrostatic attraction andπ-πinteractions for efficient and stable photocatalytic hydrogen evolution.In the photocatalytic system,the cationic Se-MTpy as host and anionic CNTs as vip are assembled into a binary composite,which exhibits superior photocatalytic activity under visible light irradiation(>420 nm).The optimized CNT@Se-CoTpy composite,containing 1.2 wt%metal loading,achieves 7 times higher hydrogen evolution rate(2.47 mmol g^(-1)h^(-1))than bare Se-CoTpy(0.35 mmol g^(-1)h^(-1)).This is attributed to the constructive formation of junctions between polymer and CNTs,facilitating interfacial charge transfer and transport for efficient proton reduction.The composite system also shows high photostability after continuous irradiation for~30 h.The combination of experimental and theoretical analysis demonstrates the higher activity for reducing H_(2)O to H_(2)of Se-CoTpy than Se-NiTpy.The feasible interfacial architecture proposed in this study represents an effective approach to achieve high photocatalytic performance.展开更多
Dynamical systems often exhibit multiple attractors representing significantly different functioning conditions.A global map of attraction basins can offer valuable guidance for stabilizing or transitioning system sta...Dynamical systems often exhibit multiple attractors representing significantly different functioning conditions.A global map of attraction basins can offer valuable guidance for stabilizing or transitioning system states.Such a map can be constructed without prior system knowledge by identifying attractors across a sufficient number of points in the state space.However,determining the attractor for each initial state can be a laborious task.Here,we tackle the challenge of reconstructing attraction basins using as few initial points as possible.In each iteration of our approach,informative points are selected through random seeding and are driven along the current classification boundary,promoting the eventual selection of points that are both diverse and enlightening.The results across various experimental dynamical systems demonstrate that our approach requires fewer points than baseline methods while achieving comparable mapping accuracy.Additionally,the reconstructed map allows us to accurately estimate the minimum escape distance required to transition the system state to a target basin.展开更多
In order to improve the competitiveness of smart tourist attractions in the tourism market,this paper selects a scenic spot in Shenyang and uses big data technology to predict the passenger flow of the scenic spot.Fir...In order to improve the competitiveness of smart tourist attractions in the tourism market,this paper selects a scenic spot in Shenyang and uses big data technology to predict the passenger flow of the scenic spot.Firstly,this paper introduces the big data-driven forecast model of scenic spot passenger flow.Based on the traditional autoregressive integral moving average model and artificial neural network model,it builds a big data analysis and forecast model.Through the analysis of data source,model building,scenic spot passenger flow accuracy,and modeling time comparison,it affirms the advantages of big data analysis in forecasting scenic spot passenger flow.Finally,it puts forward four commercial operation optimization strategies:adjusting the ticket pricing of scenic spots,upgrading the catering and accommodation services in scenic spots,planning and designing play projects,and formulating accurate scenic spot marketing strategies,in order to provide references for the optimization and upgrading of smart tourist attractions in the future.展开更多
Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and...Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.展开更多
The focus of this study was to examine how different factors including gender of the person on Snapchat and Snapchat filter types (no filter vs. pretty filter vs. frown filter vs. dog filter vs. sponsored filter) infl...The focus of this study was to examine how different factors including gender of the person on Snapchat and Snapchat filter types (no filter vs. pretty filter vs. frown filter vs. dog filter vs. sponsored filter) influence social and physical attraction perception of a person. An experiment manipulating both factors was conducted (N = 226). Results showed female on Snapchat was rated significantly higher on both social and physical attraction than their male counterparts. The use of different types of Snapchat filters had a significant effect on social attraction, but not on physical attraction. Moreover, there was a significant interaction effect between gender of the person on Snapchat and the types of Snapchat filter used on the social attraction rating.展开更多
The phenomenon of electrical attraction and repulsion between charged particles is well known, and described mathematically by Coulomb’s Law, yet until now there has been no explanation for why this occurs. There has...The phenomenon of electrical attraction and repulsion between charged particles is well known, and described mathematically by Coulomb’s Law, yet until now there has been no explanation for why this occurs. There has been no mechanistic explanation that reveals what causes the charged particles to accelerate, either towards or away from each other. This paper gives a detailed explanation of the phenomena of electrical attraction and repulsion based on my previous work that determined the exact wave-function solutions for both the Electron and the Positron. It is revealed that the effects are caused by wave interactions between the wave functions that result in Electromagnetic reflections of parts of the particle’s wave functions, causing a change in their momenta.展开更多
The mechanics of Coulomb attraction and repulsion between charged particles are not currently understood but can be explained using a photon-pair aether. A spin-2 photon pair with no net E or B fields can freely penet...The mechanics of Coulomb attraction and repulsion between charged particles are not currently understood but can be explained using a photon-pair aether. A spin-2 photon pair with no net E or B fields can freely penetrate deep into matter. It may collide with a charged particle and be transformed through the interaction into a spin-0 photon pair. This outflow of spin-0 photon pairs forms a homogeneous (+E) or (−E) electrostatic field around the particle, depending on its charge. Charged particles in the vicinity of each other experience an asymmetry in the incoming field, from which attraction or repulsion arises. Repulsion or attraction is understood as the transfer of momentum from photons to particles, which results in the appearance of a force.展开更多
基金financial support from Science and Technology Project of Guangdong(2020B010190001)National Natural Science Foundation(12434016).
文摘Raman spectroscopy offers a great power to detect,analyze and identify molecules,and monitor their temporal dynamics and evolution when combined with single-molecule surface-enhanced Raman scattering(SM-SERS)substrates.Here we present a SM-SERS scheme that involves simultaneously giant chemical enhancement from WS22D materials,giant electromagnetic enhancement from plasmonic nanogap hot spot,and inhibition of molecular fluorescence influence under near-infrared laser illumination.Remarkably we find Coulomb attraction between analyte and gold nanoparticle can trigger spontaneous formation of molecule-hotspot pairing with high precision,stability and robustness.The scheme has enabled realization of universal,robust,fast,and large-scale uniform SM-SERS detection for three Raman molecules of rhodamine B,rhodamine 6G,and crystal violet with a very low detection limit of 10−16 M and at a very fast spectrum acquisition time of 50 ms.
基金supported by the RGC Senior Research Fellowship Scheme(Grant No.SRFS2021-5S01)the Hong Kong Research Grants Council(Grant No.PolyU 15307321)+2 种基金Research Institute for Smart Energy(CDAQ),Research Centre for Nanoscience and Nanotechnology(CE2H),Research Centre for Carbon-Strategic Catalysis(CE2L)Miss Clarea Au for the Endowed Professorship in Energy(Grant No.847S)National Natural Science Foundation of China(Grant No.62205277).
文摘The search for photoactive materials that are able to efficiently produce solar fuels is a growing research field to tackle the current energy crisis.Herein,we have prepared two ionic non-noble metallo-supramolecular polymers Se-MTpy(M=Co or Ni),and constructed their composites with single-walled carbon nanotubes(CNTs)via electrostatic attraction andπ-πinteractions for efficient and stable photocatalytic hydrogen evolution.In the photocatalytic system,the cationic Se-MTpy as host and anionic CNTs as vip are assembled into a binary composite,which exhibits superior photocatalytic activity under visible light irradiation(>420 nm).The optimized CNT@Se-CoTpy composite,containing 1.2 wt%metal loading,achieves 7 times higher hydrogen evolution rate(2.47 mmol g^(-1)h^(-1))than bare Se-CoTpy(0.35 mmol g^(-1)h^(-1)).This is attributed to the constructive formation of junctions between polymer and CNTs,facilitating interfacial charge transfer and transport for efficient proton reduction.The composite system also shows high photostability after continuous irradiation for~30 h.The combination of experimental and theoretical analysis demonstrates the higher activity for reducing H_(2)O to H_(2)of Se-CoTpy than Se-NiTpy.The feasible interfacial architecture proposed in this study represents an effective approach to achieve high photocatalytic performance.
基金supported by the National Natural Science Foundation of China(Grant Nos.T2225022,12350710786,62088101,and 12161141016)Shuguang Program of Shanghai Education Development Foundation(Grant No.22SG21)Shanghai Municipal Education Commission,and the Fundamental Research Funds for the Central Universities。
文摘Dynamical systems often exhibit multiple attractors representing significantly different functioning conditions.A global map of attraction basins can offer valuable guidance for stabilizing or transitioning system states.Such a map can be constructed without prior system knowledge by identifying attractors across a sufficient number of points in the state space.However,determining the attractor for each initial state can be a laborious task.Here,we tackle the challenge of reconstructing attraction basins using as few initial points as possible.In each iteration of our approach,informative points are selected through random seeding and are driven along the current classification boundary,promoting the eventual selection of points that are both diverse and enlightening.The results across various experimental dynamical systems demonstrate that our approach requires fewer points than baseline methods while achieving comparable mapping accuracy.Additionally,the reconstructed map allows us to accurately estimate the minimum escape distance required to transition the system state to a target basin.
文摘In order to improve the competitiveness of smart tourist attractions in the tourism market,this paper selects a scenic spot in Shenyang and uses big data technology to predict the passenger flow of the scenic spot.Firstly,this paper introduces the big data-driven forecast model of scenic spot passenger flow.Based on the traditional autoregressive integral moving average model and artificial neural network model,it builds a big data analysis and forecast model.Through the analysis of data source,model building,scenic spot passenger flow accuracy,and modeling time comparison,it affirms the advantages of big data analysis in forecasting scenic spot passenger flow.Finally,it puts forward four commercial operation optimization strategies:adjusting the ticket pricing of scenic spots,upgrading the catering and accommodation services in scenic spots,planning and designing play projects,and formulating accurate scenic spot marketing strategies,in order to provide references for the optimization and upgrading of smart tourist attractions in the future.
基金Under the auspices of the National Natural Science Foundation of China(No.41971202)the National Natural Science Foundation of China(No.42201181)the Fundamental research funding targets for central universities(No.2412022QD002)。
文摘Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.
文摘The focus of this study was to examine how different factors including gender of the person on Snapchat and Snapchat filter types (no filter vs. pretty filter vs. frown filter vs. dog filter vs. sponsored filter) influence social and physical attraction perception of a person. An experiment manipulating both factors was conducted (N = 226). Results showed female on Snapchat was rated significantly higher on both social and physical attraction than their male counterparts. The use of different types of Snapchat filters had a significant effect on social attraction, but not on physical attraction. Moreover, there was a significant interaction effect between gender of the person on Snapchat and the types of Snapchat filter used on the social attraction rating.
文摘The phenomenon of electrical attraction and repulsion between charged particles is well known, and described mathematically by Coulomb’s Law, yet until now there has been no explanation for why this occurs. There has been no mechanistic explanation that reveals what causes the charged particles to accelerate, either towards or away from each other. This paper gives a detailed explanation of the phenomena of electrical attraction and repulsion based on my previous work that determined the exact wave-function solutions for both the Electron and the Positron. It is revealed that the effects are caused by wave interactions between the wave functions that result in Electromagnetic reflections of parts of the particle’s wave functions, causing a change in their momenta.
文摘The mechanics of Coulomb attraction and repulsion between charged particles are not currently understood but can be explained using a photon-pair aether. A spin-2 photon pair with no net E or B fields can freely penetrate deep into matter. It may collide with a charged particle and be transformed through the interaction into a spin-0 photon pair. This outflow of spin-0 photon pairs forms a homogeneous (+E) or (−E) electrostatic field around the particle, depending on its charge. Charged particles in the vicinity of each other experience an asymmetry in the incoming field, from which attraction or repulsion arises. Repulsion or attraction is understood as the transfer of momentum from photons to particles, which results in the appearance of a force.
