This paper focuses on the field of Hakka cuisine vocational education and conducts an in-depth study on the“Secondary Vocational-Higher Vocational-Post-Vocational Training”connection mechanism.By analyzing the neces...This paper focuses on the field of Hakka cuisine vocational education and conducts an in-depth study on the“Secondary Vocational-Higher Vocational-Post-Vocational Training”connection mechanism.By analyzing the necessity from multiple aspects,including the continuity of talent cultivation,the talent structure for industrial development,and the optimal allocation of educational resources,it reveals the significance of constructing this connection mechanism.In terms of the construction ideas,the paper proposes targeted and operable strategies from three key dimensions:the connection and integration of curriculum systems,the collaborative construction of teaching teams,and the sharing and expansion of practical platforms.Meanwhile,to ensure the effective implementation of the mechanism,it elaborates on safeguard measures such as policy support and guidance,the participation of industry associations,and quality monitoring and evaluation.This study holds important theoretical and practical value for improving the Hakka cuisine vocational education system,cultivating high-quality culinary talents that meet the needs of industrial development,and promoting the inheritance and innovation of Hakka cuisine culture.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 concept of metamorphic mechanisms is presented, configuration models and configuration transformations relating to a set of new matrix operations are discussed and proposed. The configuration of a metamorphic mech...The concept of metamorphic mechanisms is presented, configuration models and configuration transformations relating to a set of new matrix operations are discussed and proposed. The configuration of a metamorphic mechanism reflects the connectivity change in the mechanism during motions which results in mobility change and presents the characteristics of the mechanism which is discussed in various applications particularly in decorative artifacts. The characteristics is further investigated with mobility analysis.展开更多
With the development of intelligent flexible manufacturing,traditional industrial manipulators with a single configuration are difficult to meet a variety of tasks.Reconfigurable robots have developed rapidly which co...With the development of intelligent flexible manufacturing,traditional industrial manipulators with a single configuration are difficult to meet a variety of tasks.Reconfigurable robots have developed rapidly which could change their configurations and end effectors for different tasks.The reconfigurable connecting mechanism(RCM)is a core component of reconfigurable robots.In this paper,two types of intelligent modularized RCMs with light weight,high payload,and large pose(position and attitude)error tolerance are developed.One is driven by shape memory alloy(SMA)and recovery spring.It is locked by steel balls and key.The other is driven by electromagnetic coil and locked by permanent magnet and key.The locking principle,mechanical system and control system of the two RCMs are detailed introduced.Both of them meet the requirements of high precision and high payload in the industrial field.Finally,the developed RCMs are respectively integrated to a practical robot and experimented.The experiment results verified the performance of the two RCMs.展开更多
A novel modular self-reconfigurable robot called UBot is presented.This robot consists of severalstandard modules.The module is cubic structure based on double rotational DOF,and has four connect-ing surfaces that can...A novel modular self-reconfigurable robot called UBot is presented.This robot consists of severalstandard modules.The module is cubic structure based on double rotational DOF,and has four connect-ing surfaces that can connect to adjacent modules.A hook-type mechanism is designed,which can quick-ly and reliably connect to or disconnect from adjacent module.This mechanism is self-locking after con-nected,and energy-saving.To achieve small overall size and mass,compact mechanical structures andelectrical systems are adopted in modular design.The modules have embedded power supply and adoptwireless communication,which can avoid cable-winding and improve flexibility of locomotion and self-re-configuration.A group of UBot modules can adapt their configuration and function to the changing envi-ronment without external help by changing their connections and positions .The basic motion and self-re-configuration are proposed,and the experiments of worm-like locomotion are implemented.展开更多
Based on molecular mechanics and the deformation characteristics of the atomic lattice structure of graphene, a modifi ed molecular structure mechanics method was developed to improve the original one, that is, the se...Based on molecular mechanics and the deformation characteristics of the atomic lattice structure of graphene, a modifi ed molecular structure mechanics method was developed to improve the original one, that is, the semi-rigid connections were used to model the bond angle variations between the C-Cbonds in graphene. The simulated results show that the equivalent space frame model with semi-rigid connections for graphene proposed in this article is a simple, efficient, and accurate model to evaluate the equivalent elastic properties of graphene. Though the present computational model of the semi-rigid connected space frame is only applied to characterize the mechanical behaviors of the space lattices of graphene, it has more potential applications in the static and dynamic analyses of graphene and other nanomaterials.展开更多
One of the hot issues to realize the multi-planning system integration is to explore the inter-planning coordination mechanism breaking current technical and system restrictions. The essence of planning disintegration...One of the hot issues to realize the multi-planning system integration is to explore the inter-planning coordination mechanism breaking current technical and system restrictions. The essence of planning disintegration is the disconnection of their objective system, indicator system, and spatial coordinate system. Few studies have been conducted on this issue. This paper analyzes the manifestations and causes of the "three-system dissociation," and proposes to establish a new objective system. In addition, it proposes to strengthen the connection design, aiming to explore effective ways to realize inter-planning connection and coordination.展开更多
With recent advances in oncology research,effectively utilizing patient genomic data to predict cancer status has become a significant challenge.Although previous deep learning methods based on biological knowledge ha...With recent advances in oncology research,effectively utilizing patient genomic data to predict cancer status has become a significant challenge.Although previous deep learning methods based on biological knowledge have made progress,they still face limitations,such as the restricted scope and imprecision of the biological knowledge covered by the biological functional datasets used,as well as difficulties in adapting to data variations.To address these challenges,this paper proposes a novel deep learning neural network model based on a biological knowledge graph(namely BKGNet)and an adjustable connection mechanism—biological knowledge graph-enhanced cancer state prediction network with adjustable connections.Specifically,we construct a predictive neural network that leverages the richer and more precise structured biological information from the knowledge graph,providing the model with more comprehensive and accurate biological background support,thereby enhancing its ability to model complex biological relationships.We also introduce an adjustable connection mechanism that,while ensuring the rationality of biological relationships,transforms fixed biological connections into learnable connection strengths.This allows the model to flexibly adjust the interactions between biological entities.Experimental results demonstrate that BKGNet outperforms traditional machine learning and deep learning baseline models in terms of prediction accuracy,highlighting the advantages of its network architecture.Further ablation experiments validate the effectiveness of both the knowledge graph and the adjustable connection mechanism.展开更多
Models for shallow water flow often assume that the lateral velocity is constant over the water height.The recently derived shallow water moment equations are an extension of these standard shallow water equations.The...Models for shallow water flow often assume that the lateral velocity is constant over the water height.The recently derived shallow water moment equations are an extension of these standard shallow water equations.The extended models allow for a vertically changing velocity profile,resulting in more accuracy when the velocity varies considerably over the height of the fluid.Unfortunately,already the one-dimensional models lack global hyperbolicity,an important property of partial differential equations that ensures that disturbances have a finite propagation speed.In this paper,cylindrical shallow water moment equations are formulated by starting from the cylindrical incompressible Navier-Stokes equations.We formulate twodimensional axisymmetric ShallowWater Moment Equations by imposing axisymmetry in the cylindrical model.The loss of hyperbolicity is analyzed and a hyperbolic axisymmetric moment model is then derived by modifying the system matrix in analogy to the one-dimensional case,for which the hyperbolicity problem has already been observed and overcome.Numerical simulations with both discontinuous and continuous initial data in a cylindrical domain are performed using a finite volume scheme tailored to the cylindrical mesh.The newly derived hyperbolic model is clearly beneficial as it gives more stable solutions and still converges to the reference solution when increasing the number of moments.展开更多
基金2025 Meizhou Municipal Planning Project for Philosophy and Social Sciences(mzsklx2025101)。
文摘This paper focuses on the field of Hakka cuisine vocational education and conducts an in-depth study on the“Secondary Vocational-Higher Vocational-Post-Vocational Training”connection mechanism.By analyzing the necessity from multiple aspects,including the continuity of talent cultivation,the talent structure for industrial development,and the optimal allocation of educational resources,it reveals the significance of constructing this connection mechanism.In terms of the construction ideas,the paper proposes targeted and operable strategies from three key dimensions:the connection and integration of curriculum systems,the collaborative construction of teaching teams,and the sharing and expansion of practical platforms.Meanwhile,to ensure the effective implementation of the mechanism,it elaborates on safeguard measures such as policy support and guidance,the participation of industry associations,and quality monitoring and evaluation.This study holds important theoretical and practical value for improving the Hakka cuisine vocational education system,cultivating high-quality culinary talents that meet the needs of industrial development,and promoting the inheritance and innovation of Hakka cuisine culture.
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 concept of metamorphic mechanisms is presented, configuration models and configuration transformations relating to a set of new matrix operations are discussed and proposed. The configuration of a metamorphic mechanism reflects the connectivity change in the mechanism during motions which results in mobility change and presents the characteristics of the mechanism which is discussed in various applications particularly in decorative artifacts. The characteristics is further investigated with mobility analysis.
基金Supported by National Key R&D Program of China(Grant No.2018YFB1304600)Guangdong Provincial Key Research and Development Program of China(Grant No.2019B090915001)+1 种基金Guangdong Provincial Special Support Program of China(Grant No.2017TX04X0071)Basic Research Program of Shenzhen City(Grant No.JCYJ20180507183610564).
文摘With the development of intelligent flexible manufacturing,traditional industrial manipulators with a single configuration are difficult to meet a variety of tasks.Reconfigurable robots have developed rapidly which could change their configurations and end effectors for different tasks.The reconfigurable connecting mechanism(RCM)is a core component of reconfigurable robots.In this paper,two types of intelligent modularized RCMs with light weight,high payload,and large pose(position and attitude)error tolerance are developed.One is driven by shape memory alloy(SMA)and recovery spring.It is locked by steel balls and key.The other is driven by electromagnetic coil and locked by permanent magnet and key.The locking principle,mechanical system and control system of the two RCMs are detailed introduced.Both of them meet the requirements of high precision and high payload in the industrial field.Finally,the developed RCMs are respectively integrated to a practical robot and experimented.The experiment results verified the performance of the two RCMs.
基金Supported by the National High Technology Research and Development Programme of China（2006AA04Z220）； the National Natural Science Foundation of China（60705027）；Partially Supported by Progranl for Changjiang SchoLars and Innovative Research Team in University（PCSIRT）（IRT0423）.
文摘A novel modular self-reconfigurable robot called UBot is presented.This robot consists of severalstandard modules.The module is cubic structure based on double rotational DOF,and has four connect-ing surfaces that can connect to adjacent modules.A hook-type mechanism is designed,which can quick-ly and reliably connect to or disconnect from adjacent module.This mechanism is self-locking after con-nected,and energy-saving.To achieve small overall size and mass,compact mechanical structures andelectrical systems are adopted in modular design.The modules have embedded power supply and adoptwireless communication,which can avoid cable-winding and improve flexibility of locomotion and self-re-configuration.A group of UBot modules can adapt their configuration and function to the changing envi-ronment without external help by changing their connections and positions .The basic motion and self-re-configuration are proposed,and the experiments of worm-like locomotion are implemented.
基金Funded by the Talent Foundation and Youth Foundation of Xi’an University of Architecture and Technology(Nos.DB12062 and QN1239)
文摘Based on molecular mechanics and the deformation characteristics of the atomic lattice structure of graphene, a modifi ed molecular structure mechanics method was developed to improve the original one, that is, the semi-rigid connections were used to model the bond angle variations between the C-Cbonds in graphene. The simulated results show that the equivalent space frame model with semi-rigid connections for graphene proposed in this article is a simple, efficient, and accurate model to evaluate the equivalent elastic properties of graphene. Though the present computational model of the semi-rigid connected space frame is only applied to characterize the mechanical behaviors of the space lattices of graphene, it has more potential applications in the static and dynamic analyses of graphene and other nanomaterials.
文摘One of the hot issues to realize the multi-planning system integration is to explore the inter-planning coordination mechanism breaking current technical and system restrictions. The essence of planning disintegration is the disconnection of their objective system, indicator system, and spatial coordinate system. Few studies have been conducted on this issue. This paper analyzes the manifestations and causes of the "three-system dissociation," and proposes to establish a new objective system. In addition, it proposes to strengthen the connection design, aiming to explore effective ways to realize inter-planning connection and coordination.
基金supported by the Key R&D Program in XinJiang Uygur Autonomous Region(No.2022B03019-6).
文摘With recent advances in oncology research,effectively utilizing patient genomic data to predict cancer status has become a significant challenge.Although previous deep learning methods based on biological knowledge have made progress,they still face limitations,such as the restricted scope and imprecision of the biological knowledge covered by the biological functional datasets used,as well as difficulties in adapting to data variations.To address these challenges,this paper proposes a novel deep learning neural network model based on a biological knowledge graph(namely BKGNet)and an adjustable connection mechanism—biological knowledge graph-enhanced cancer state prediction network with adjustable connections.Specifically,we construct a predictive neural network that leverages the richer and more precise structured biological information from the knowledge graph,providing the model with more comprehensive and accurate biological background support,thereby enhancing its ability to model complex biological relationships.We also introduce an adjustable connection mechanism that,while ensuring the rationality of biological relationships,transforms fixed biological connections into learnable connection strengths.This allows the model to flexibly adjust the interactions between biological entities.Experimental results demonstrate that BKGNet outperforms traditional machine learning and deep learning baseline models in terms of prediction accuracy,highlighting the advantages of its network architecture.Further ablation experiments validate the effectiveness of both the knowledge graph and the adjustable connection mechanism.
文摘Models for shallow water flow often assume that the lateral velocity is constant over the water height.The recently derived shallow water moment equations are an extension of these standard shallow water equations.The extended models allow for a vertically changing velocity profile,resulting in more accuracy when the velocity varies considerably over the height of the fluid.Unfortunately,already the one-dimensional models lack global hyperbolicity,an important property of partial differential equations that ensures that disturbances have a finite propagation speed.In this paper,cylindrical shallow water moment equations are formulated by starting from the cylindrical incompressible Navier-Stokes equations.We formulate twodimensional axisymmetric ShallowWater Moment Equations by imposing axisymmetry in the cylindrical model.The loss of hyperbolicity is analyzed and a hyperbolic axisymmetric moment model is then derived by modifying the system matrix in analogy to the one-dimensional case,for which the hyperbolicity problem has already been observed and overcome.Numerical simulations with both discontinuous and continuous initial data in a cylindrical domain are performed using a finite volume scheme tailored to the cylindrical mesh.The newly derived hyperbolic model is clearly beneficial as it gives more stable solutions and still converges to the reference solution when increasing the number of moments.
