Accelerating the convergence speed and avoiding the local optimal solution are two main goals of particle swarm optimization（PSO）. The very basic PSO model and some variants of PSO do not consider the enhancement of...Accelerating the convergence speed and avoiding the local optimal solution are two main goals of particle swarm optimization（PSO）. The very basic PSO model and some variants of PSO do not consider the enhancement of the explorative capability of each particle. Thus these methods have a slow convergence speed and may trap into a local optimal solution. To enhance the explorative capability of particles, a scheme called explorative capability enhancement in PSO（ECE-PSO） is proposed by introducing some virtual particles in random directions with random amplitude. The linearly decreasing method related to the maximum iteration and the nonlinearly decreasing method related to the fitness value of the globally best particle are employed to produce virtual particles. The above two methods are thoroughly compared with four representative advanced PSO variants on eight unimodal and multimodal benchmark problems. Experimental results indicate that the convergence speed and solution quality of ECE-PSO outperform the state-of-the-art PSO variants.展开更多
Since the outbreak of the Ukraine crisis,the EU has been under unprecedented geopolitical pressure and has encountered difficulties in both economic and diplomatic fields,with its external relations undergoing multipl...Since the outbreak of the Ukraine crisis,the EU has been under unprecedented geopolitical pressure and has encountered difficulties in both economic and diplomatic fields,with its external relations undergoing multiple changes.To address the new challenges and uncertainties that have emerged,the EU,on the one hand,is actively promoting strategic autonomy,striving to enhance its independent capabilities in areas such as defense and energy security.展开更多
With increasing electricity demand and large-scale stochastic charging of electric vehicles(EVs),distribution networks face inevitable shortage of transfer capability,bringing new challenges to distribution network pl...With increasing electricity demand and large-scale stochastic charging of electric vehicles(EVs),distribution networks face inevitable shortage of transfer capability,bringing new challenges to distribution network planning(DNP).Dynamic thermal rating(DTR),which evaluates the equipment rating based on actual meteorological conditions and equipment thermal state,can enhance the equipment transfer capability to meet the increasing load demand.In this paper,we propose a model considering the active response of EVs,and a bi-level DNP model incorporating the DTR of cables and transformers,in the upper level,the Prim algorithm is embedded into the particle swarm optimisation(PSO)algorithm to obtain an initial grid topology;in the lower level,types of cables and transformers as well as the installation of DTR equipment are determined,second-order cone(SOC)relaxation and linearisation of the variables product are then carried out to meet the non-linear constraints of cables and transformers,and the upper and lower models are solved in an iterative manner.Case studies demonstrate that the implementation of DTR effectively enhances the transfer capability of cables and transformers,saving 4.8%investment cost while ensuring 96%uplift of power supply.Besides,with 90%active response rate of EVs,total cost can be further reduced.展开更多
Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emerg...Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emergency medicine poses a significant challenge.To address this,we propose a novel approach based on the inter-learning of visual features between global and local information.Specifically,our method enhances the perception capabilities of the visual feature extractor by strategically leveraging the strengths of convolutional neural network(CNN),which are adept at capturing local features,and visual transformers which perform well at perceiving global features.Furthermore,to mitigate the issue of overfitting caused by the limited availability of sign language data for emergency medical applications,we introduce an enhanced short temporal module for data augmentation through additional subsequences.Experimental results on three publicly available sign language datasets demonstrate the efficacy of the proposed approach.展开更多
This paper delves into the theoretical foundation and practical implementation of ideological and political education(IPE)within college English classrooms.Initially,it defines IPE and highlights its critical role in ...This paper delves into the theoretical foundation and practical implementation of ideological and political education(IPE)within college English classrooms.Initially,it defines IPE and highlights its critical role in the fundamental educational task of cultivating virtue and character.The paper then outlines the specific requirements and principles necessary for integrating IPE into college English courses.The study underscores that beyond enhancing students'language proficiency,college English courses should also foster students'social responsibility,academic integrity,and scientific ethics through implicit teaching methods.By improving teachers'IPE teaching capabilities,deeply integrating IPE elements into course content,and utilizing modern information technology to innovate teaching methods,the paper proposes effective strategies to achieve IPE goals.The integration of IPE in college English courses holds substantial theoretical and practical importance,particularly in the context of the new era,and it actively promotes higher education teaching reform.This comprehensive approach ensures that students not only gain linguistic skills but also develop a strong ethical foundation and a sense of social responsibility,thereby aligning with the broader educational objectives of fostering well-rounded individuals.展开更多
In the realm of precise medicine,the advancement of manufacturing technologies is vital for enhancing the capabilities of medical devices such as nano/microrobots,wearable/implantable biosensors,and organon-chip syste...In the realm of precise medicine,the advancement of manufacturing technologies is vital for enhancing the capabilities of medical devices such as nano/microrobots,wearable/implantable biosensors,and organon-chip systems,which serve to accurately acquire and analyze patients’physiopathological information and to perform patient-specific therapy.Electrospinning holds great promise in engineering materials and components for advanced medical devices,due to the demonstrated ability to advance the development of nanomaterial science.Nevertheless,challenges such as limited composition variety,uncontrollable fiber orientation,difficulties in incorporating fragile molecules and cells,and low production effectiveness hindered its further application.To overcome these challenges,advanced electrospinning techniques have been explored to manufacture functional composites,orchestrated structures,living constructs,and scale-up fabrication.This review delves into the recent advances of electrospinning techniques and underscores their potential in revolutionizing the field of precise medicine,upon introducing the fundamental information of conventional electrospinning techniques,as well as discussing the current challenges and future perspectives.展开更多
基金supported by the Aeronautical Science Fund of Shaanxi Province of China(20145596025)
文摘Accelerating the convergence speed and avoiding the local optimal solution are two main goals of particle swarm optimization（PSO）. The very basic PSO model and some variants of PSO do not consider the enhancement of the explorative capability of each particle. Thus these methods have a slow convergence speed and may trap into a local optimal solution. To enhance the explorative capability of particles, a scheme called explorative capability enhancement in PSO（ECE-PSO） is proposed by introducing some virtual particles in random directions with random amplitude. The linearly decreasing method related to the maximum iteration and the nonlinearly decreasing method related to the fitness value of the globally best particle are employed to produce virtual particles. The above two methods are thoroughly compared with four representative advanced PSO variants on eight unimodal and multimodal benchmark problems. Experimental results indicate that the convergence speed and solution quality of ECE-PSO outperform the state-of-the-art PSO variants.
文摘Since the outbreak of the Ukraine crisis,the EU has been under unprecedented geopolitical pressure and has encountered difficulties in both economic and diplomatic fields,with its external relations undergoing multiple changes.To address the new challenges and uncertainties that have emerged,the EU,on the one hand,is actively promoting strategic autonomy,striving to enhance its independent capabilities in areas such as defense and energy security.
基金The State Grid under Project,Grant/Award Number:5700-202118195A-0-0-00。
文摘With increasing electricity demand and large-scale stochastic charging of electric vehicles(EVs),distribution networks face inevitable shortage of transfer capability,bringing new challenges to distribution network planning(DNP).Dynamic thermal rating(DTR),which evaluates the equipment rating based on actual meteorological conditions and equipment thermal state,can enhance the equipment transfer capability to meet the increasing load demand.In this paper,we propose a model considering the active response of EVs,and a bi-level DNP model incorporating the DTR of cables and transformers,in the upper level,the Prim algorithm is embedded into the particle swarm optimisation(PSO)algorithm to obtain an initial grid topology;in the lower level,types of cables and transformers as well as the installation of DTR equipment are determined,second-order cone(SOC)relaxation and linearisation of the variables product are then carried out to meet the non-linear constraints of cables and transformers,and the upper and lower models are solved in an iterative manner.Case studies demonstrate that the implementation of DTR effectively enhances the transfer capability of cables and transformers,saving 4.8%investment cost while ensuring 96%uplift of power supply.Besides,with 90%active response rate of EVs,total cost can be further reduced.
基金supported by the National Natural Science Foundation of China(No.62376197)the Tianjin Science and Technology Program(No.23JCYBJC00360)the Tianjin Health Research Project(No.TJWJ2025MS045).
文摘Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emergency medicine poses a significant challenge.To address this,we propose a novel approach based on the inter-learning of visual features between global and local information.Specifically,our method enhances the perception capabilities of the visual feature extractor by strategically leveraging the strengths of convolutional neural network(CNN),which are adept at capturing local features,and visual transformers which perform well at perceiving global features.Furthermore,to mitigate the issue of overfitting caused by the limited availability of sign language data for emergency medical applications,we introduce an enhanced short temporal module for data augmentation through additional subsequences.Experimental results on three publicly available sign language datasets demonstrate the efficacy of the proposed approach.
基金Funded by the Hainan Vocational University of Science and Technology School-Level Curriculum Ideological and Political Model Project Project Approval Number:HKSZ2024-04。
文摘This paper delves into the theoretical foundation and practical implementation of ideological and political education(IPE)within college English classrooms.Initially,it defines IPE and highlights its critical role in the fundamental educational task of cultivating virtue and character.The paper then outlines the specific requirements and principles necessary for integrating IPE into college English courses.The study underscores that beyond enhancing students'language proficiency,college English courses should also foster students'social responsibility,academic integrity,and scientific ethics through implicit teaching methods.By improving teachers'IPE teaching capabilities,deeply integrating IPE elements into course content,and utilizing modern information technology to innovate teaching methods,the paper proposes effective strategies to achieve IPE goals.The integration of IPE in college English courses holds substantial theoretical and practical importance,particularly in the context of the new era,and it actively promotes higher education teaching reform.This comprehensive approach ensures that students not only gain linguistic skills but also develop a strong ethical foundation and a sense of social responsibility,thereby aligning with the broader educational objectives of fostering well-rounded individuals.
基金supported by the National Natural Science Foundation of China(32201126)the Beijing Natural Science Foundation(7232344)+2 种基金the Henan Provincial Key R&D and Promotion Project(232103810036)the Beijing Institute of Technology Research Funding Program for Young Scholars(XSQD-202123003,XSQD-202213001,and XSQD-6120220130)the Beijing Institute of Technology Teli Young Fellow Program(RCPT-20220029).
文摘In the realm of precise medicine,the advancement of manufacturing technologies is vital for enhancing the capabilities of medical devices such as nano/microrobots,wearable/implantable biosensors,and organon-chip systems,which serve to accurately acquire and analyze patients’physiopathological information and to perform patient-specific therapy.Electrospinning holds great promise in engineering materials and components for advanced medical devices,due to the demonstrated ability to advance the development of nanomaterial science.Nevertheless,challenges such as limited composition variety,uncontrollable fiber orientation,difficulties in incorporating fragile molecules and cells,and low production effectiveness hindered its further application.To overcome these challenges,advanced electrospinning techniques have been explored to manufacture functional composites,orchestrated structures,living constructs,and scale-up fabrication.This review delves into the recent advances of electrospinning techniques and underscores their potential in revolutionizing the field of precise medicine,upon introducing the fundamental information of conventional electrospinning techniques,as well as discussing the current challenges and future perspectives.
