The integration of industry and education provides intrinsic support for the construction of a collaborative education system between higher vocational colleges and enterprises.Based on the integration of industry and...The integration of industry and education provides intrinsic support for the construction of a collaborative education system between higher vocational colleges and enterprises.Based on the integration of industry and education,higher vocational colleges develop mass entrepreneurship and innovation education,which also requires the establishment of systems and institutions for mass entrepreneurship and innovation education to internally support the steady progress of the integration of industry and education.By clarifying the new demands for mass entrepreneurship and innovation education and the integration of industry and education in the new era,while further strengthening balanced development layouts,identifying practical educational issues in mass entrepreneurship and innovation education and the integration of industry and education,and formulating scientific practical strategies,this study expands the new development path of deepening mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges,providing educational support for the coordinated advancement of mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges.展开更多
With the development of the country and society,higher requirements for college students’professional quality and moral cultivation have been put forward.The purpose of teaching ideological and political courses in u...With the development of the country and society,higher requirements for college students’professional quality and moral cultivation have been put forward.The purpose of teaching ideological and political courses in universities is to guide college students to solidly grasp ideological and political theoretical knowledge,continuously improve moral literacy,and become qualified successors of socialism.Practical teaching of ideological and political courses plays an essential role in educating and nurturing students.It can transform abstract theoretical knowledge into practical experiences that students can intuitively feel and understand.Through practical teaching,students can not only better understand and digest theoretical knowledge,but also apply this knowledge in real or simulated social environments,thereby gaining a deeper understanding of social phenomena and problems.Based on this,this article focuses on the analysis of the ideological and political practical education model and innovative path in universities in the new era.展开更多
To promote the achievement of high-quality and full employment goals for students in higher education,this paper analyzes the integration path of practical education and teaching in civil engineering and transportatio...To promote the achievement of high-quality and full employment goals for students in higher education,this paper analyzes the integration path of practical education and teaching in civil engineering and transportation majors,guided by surveying employment.This paper proposes three integration paths for practical teaching and education in civil engineering and transportation majors under the employment orientation.The first path is to create a modularized and informatized curriculum system.The second path is to deepen diverse cooperative practices between schools and enterprises.The third path is to construct a diversified quality evaluation system for academic achievement.To ensure the quality of education and employment,schools should continuously evaluate and reflect on the practical effects of these three paths to further optimize them.展开更多
Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Train...Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Training Content and Standards(2022 Edition),clinical pathology residents are required to master pathological diagnoses across 11 systems:skin,head and neck,mediastinum and respiratory,digestive,urinary and male reproductive,female reproductive and breast,lymphatic and hematopoietic,bone and soft tissue,cardiovascular,central nervous,and endocrine diseases.Senior pathologists specializing in each subspecialty selected classic pathological slides,which were systematically scanned and compiled into an electronic pathology library.Results:A questionnaire survey was conducted to gather feedback on the electronic pathology reading library.Residents generally found it to be convenient,efficient,and conducive to learning.Conclusion:Training in clinical pathology diagnosis is a core component of standardized resident training.The electronic pathology reading library has been well-received and recognized by resident doctors.However,further efforts are needed to explore diverse teaching methods that align with modern educational approaches,ultimately contributing to the development of highly skilled resident doctors.展开更多
The inclusion of the human rights clause in the Chi-nese Constitution is a concern and expression of the spirit of the Con-stitution,which has laid the institutional regulations of the fundamen-tal law for the develop...The inclusion of the human rights clause in the Chi-nese Constitution is a concern and expression of the spirit of the Con-stitution,which has laid the institutional regulations of the fundamen-tal law for the development of human rights in China,provided the principles and value norms of the highest level of effectiveness for the legal protection of human rights,and built a profound constitutional basis for the formation and improvement of the Chinese path of human rights development.The human rights clause is not only a summariza-tion and affirmation of the historical practice of Chinese human rights development under the leadership of the Communist Party of China,but also a new starting point for the development of human rights in China under the leadership of the Communist Party of China.It marks that the development of human rights in China has entered a new era.The Party and the state have finally embarked on a path of human rights development with Chinese characteristics by formulating and implementing the Human Rights Action Plan of China,eliminating ab-solute poverty through the national poverty alleviation campaign,and promoting human rights protection through the rule of law.展开更多
The Chinese path to modernization has created a new form of human civilization,and the construction of a beautiful China’s eco-civilization is an integral part of it,providing a fundamental principle for promoting th...The Chinese path to modernization has created a new form of human civilization,and the construction of a beautiful China’s eco-civilization is an integral part of it,providing a fundamental principle for promoting the construction of an eco-civilization in the new journey of Chinese path to modernization.The introduction of eco-civilization into the new form of human civilization is an essential requirement for upholding and developing socialism with Chinese characteristics,meeting the developmental needs of the Chinese path to modernization path,and fulfilling the intrinsic demands of achieving high-quality development.eco-civilization is a form of civilization in which humans coordinate their existence with nature,society,each other,and their inner selves.It is also a form of civilization where nature,life,humans,and society coexist and mutually thrive.The pursuit of a low-carbon existence requires breaking away from the goal of material happiness and re-establishing the goal of ecological well-being.Restoring the Earth’s carrying capacity,social self-purification,promoting climate habitatization constitute the fundamental tasks in constructing a society of eco-civilization.This article aims to explore the path of habitatized ecological environment,creating a society of eco-civilization,with three macro indicators in its practice:the habitatization of the natural ecological environment,the habitatization of the social ecological environment,and the coordination of these two in climate habitatization.展开更多
Trochoidal milling is known for its advantages in machining difficult-to-machine materials as it facilitates chip removal and tool cooling.However,the conventional trochoidal tool path presents challenges such as lowe...Trochoidal milling is known for its advantages in machining difficult-to-machine materials as it facilitates chip removal and tool cooling.However,the conventional trochoidal tool path presents challenges such as lower machining efficiency and longer machining time due to its time-varying cutter-workpiece engagement angle and a high percentage of non-cutting tool paths.To address these issues,this paper introduces a parameter-variant trochoidal-like(PVTR)tool path planning method for chatter-free and high-efficiency milling.This method ensures a constant engagement angle for each tool path period by adjusting the trochoidal radius and step.Initially,the nonlinear equation for the PVTR toolpath is established.Then,a segmented recurrence method is proposed to plan tool paths based on the desired engagement angle.The impact of trochoidal tool path parameters on the engagement angle is analyzed and coupled this information with the milling stability model based on spindle speed and engagement angle to determine the desired engagement angle throughout the machining process.Finally,several experimental tests are carried out using the bull-nose end mill to validate the feasibility and effectiveness of the proposed method.展开更多
The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions.While three-dimensional(3D)bioprinting has shown promise,challenges persist with respect to achieving...The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions.While three-dimensional(3D)bioprinting has shown promise,challenges persist with respect to achieving timely and compatible solutions to treat diverse skin injuries.In situ bioprinting has emerged as a key new technology,since it reduces risks during the implantation of printed scaffolds and demonstrates superior therapeutic effects.However,maintaining printing fidelity during in situ bioprinting remains a critical challenge,particularly with respect to model layering and path planning.This study proposes a novel optimization-based conformal path planning strategy for in situ bioprinting-based repair of complex skin injuries.This strategy employs constrained optimization to identify optimal waypoints on a point cloud-approximated curved surface,thereby ensuring a high degree of similarity between predesigned planar and surface-mapped 3D paths.Furthermore,this method is applicable for skin wound treatments,since it generates 3D-equidistant zigzag curves along surface tangents and enables multi-layer conformal path planning to facilitate the treatment of volumetric injuries.Furthermore,the proposed algorithm was found to be a feasible and effective treatment in a murine back injury model as well as in other complex models,thereby showcasing its potential to guide in situ bioprinting,enhance bioprinting fidelity,and facilitate improvement of clinical outcomes.展开更多
To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The...To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The inspection robot utilizes multiple sensors to monitor key parameters of the fans,such as vibration,noise,and bearing temperature,and upload the data to the monitoring center.The robot’s inspection path employs the improved A^(*)algorithm,incorporating obstacle penalty terms,path reconstruction,and smoothing optimization techniques,thereby achieving optimal path planning for the inspection robot in complex environments.Simulation results demonstrate that the improved A^(*)algorithm significantly outperforms the traditional A^(*)algorithm in terms of total path distance,smoothness,and detour rate,effectively improving the execution efficiency of inspection tasks.展开更多
In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms...In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms to solve the problem of multi-UAV path planning.The Dung Beetle Optimization(DBO)algorithm has been widely applied due to its diverse search patterns in the above algorithms.However,the update strategies for the rolling and thieving dung beetles of the DBO algorithm are overly simplistic,potentially leading to an inability to fully explore the search space and a tendency to converge to local optima,thereby not guaranteeing the discovery of the optimal path.To address these issues,we propose an improved DBO algorithm guided by the Landmark Operator(LODBO).Specifically,we first use tent mapping to update the population strategy,which enables the algorithm to generate initial solutions with enhanced diversity within the search space.Second,we expand the search range of the rolling ball dung beetle by using the landmark factor.Finally,by using the adaptive factor that changes with the number of iterations.,we improve the global search ability of the stealing dung beetle,making it more likely to escape from local optima.To verify the effectiveness of the proposed method,extensive simulation experiments are conducted,and the result shows that the LODBO algorithm can obtain the optimal path using the shortest time compared with the Genetic Algorithm(GA),the Gray Wolf Optimizer(GWO),the Whale Optimization Algorithm(WOA)and the original DBO algorithm in the disaster search and rescue task set.展开更多
The advancement of society and continuous improvements in the healthcare system have heightened the demands on professional nursing training,necessitating that nursing education better meet practical needs in an incre...The advancement of society and continuous improvements in the healthcare system have heightened the demands on professional nursing training,necessitating that nursing education better meet practical needs in an increasingly diversified medical environment.To address these requirements,the teaching approaches and assessment methods in nursing education should be reformed and updated.This study conducted a comprehensive analysis of the current state of nursing education and proposed potential pathways to enhance nursing education in medical schools.These pathways include implementing a student-centered teaching approach,incorporating various teaching activities,emphasizing the development of students’practical skills,and reforming assessment methods to cultivate well-rounded professionals.The application of these strategies will help improve the effectiveness of classroom teaching,deepen students’understanding of theoretical knowledge and practical skills,and thereby contribute to the improvement of nursing education quality.展开更多
Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network coverage.In natural disasters,timely delivery of first aid supplies is crucial.Current UAVs face risks such as...Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network coverage.In natural disasters,timely delivery of first aid supplies is crucial.Current UAVs face risks such as crashing into birds or unexpected structures.Airdrop systems with parachutes risk dispersing payloads away from target locations.The objective here is to use multiple UAVs to distribute payloads cooperatively to assigned locations.The civil defense department must balance coverage,accurate landing,and flight safety while considering battery power and capability.Deep Q-network(DQN)models are commonly used in multi-UAV path planning to effectively represent the surroundings and action spaces.Earlier strategies focused on advanced DQNs for UAV path planning in different configurations,but rarely addressed non-cooperative scenarios and disaster environments.This paper introduces a new DQN framework to tackle challenges in disaster environments.It considers unforeseen structures and birds that could cause UAV crashes and assumes urgent landing zones and winch-based airdrop systems for precise delivery and return.A new DQN model is developed,which incorporates the battery life,safe flying distance between UAVs,and remaining delivery points to encode surrounding hazards into the state space and Q-networks.Additionally,a unique reward system is created to improve UAV action sequences for better delivery coverage and safe landings.The experimental results demonstrate that multi-UAV first aid delivery in disaster environments can achieve advanced performance.展开更多
Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous...Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous control process of SMR can be divided into three stages,say,state diagnosis,autonomous decision-making and coordinated control.In this paper,the autonomous state recognition and task planning of unmanned SMR are investigated.An operating condition recognition method based on the knowledge base of SMR operation is proposed by using the artificial neural network(ANN)technology,which constructs a basis for the state judgment of intelligent reactor control path planning.An improved reinforcement learning path planning algorithm is utilized to implement the path transfer decision-makingThis algorithm performs condition transitions with minimal cost under specified modes.In summary,the full range control path intelligent decision-planning technology of SMR is realized,thus provides some theoretical basis for the design and build of unmanned SMR in the future.展开更多
The operating environment of the diesel engine air path system is complex and may be affected by external random disturbances.Potentially leading to faults.This paper addresses the fault-tolerant control problem of th...The operating environment of the diesel engine air path system is complex and may be affected by external random disturbances.Potentially leading to faults.This paper addresses the fault-tolerant control problem of the diesel engine air path system,assuming that the system may simultaneously be affected by actuator faults and external random disturbances,a disturbance observer-based sliding mode controller is designed.Through the linear matrix inequality technique for solving observer and controller gains,optimal gain matrices can be obtained,eliminating the manual adjustment process of controller parameters and reducing the chattering phenomenon of the sliding mode surface.Finally,the effectiveness of the proposed method is verified through simulation analysis.展开更多
In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V(G)to { 0,1,⋯,k−1 }where k is an integer, 1≤k≤| V(G) |. For each edge uvassign the label f(u)f(v)(modk). f is c...In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V(G)to { 0,1,⋯,k−1 }where k is an integer, 1≤k≤| V(G) |. For each edge uvassign the label f(u)f(v)(modk). f is called a k-product cordial labeling if | vf(i)−vf(j) |≤1, and | ef(i)−ef(j) |≤1, i,j∈{ 0,1,⋯,k−1 }, where vf(x)and ef(x)denote the number of vertices and edges respectively labeled with x (x=0,1,⋯,k−1). Motivated by this concept, we further studied and established that several families of graphs admit k-product cordial labeling. In this paper, we show that the path graphs Pnadmit k-product cordial labeling.展开更多
This paper, an addendum to “Dialectical Thermodynamics’ solution to the conceptual imbroglio that is the reversible path”, this journal, 10, 775-799, was written in response to the requests of several readers to pr...This paper, an addendum to “Dialectical Thermodynamics’ solution to the conceptual imbroglio that is the reversible path”, this journal, 10, 775-799, was written in response to the requests of several readers to provide further evidence of the said “imbroglio”. The evidence here presented relates to the incompatibility existing between the total-entropy and the Gibbs energy prescriptions for the reversible path. The previously published proof of the negentropic nature of the transformation of heat into work is here included to validate out conclusions about the Gibbs energy perspective.展开更多
A three-dimensional path-planning approach has been developed to coordinate multiple fixed-wing unmanned aerial vehicles(UAVs)while avoiding collisions.The hierarchical path-planning architecture that divides the path...A three-dimensional path-planning approach has been developed to coordinate multiple fixed-wing unmanned aerial vehicles(UAVs)while avoiding collisions.The hierarchical path-planning architecture that divides the path-planning process into two layers is proposed by designing the velocityobstacle strategy for satisfying timeliness and effectiveness.The upper-level layer focuses on creating an efficient Dubins initial path considering the dynamic constraints of the fixed wing.Subsequently,the lower-level layer detects potential collisions and adjusts its flight paths to avoid collisions by using the threedimensional velocity obstacle method,which describes the maneuvering space of collision avoidance as the intersection space of half space.To further handle the dynamic and collisionavoidance constraints,a priority mechanism is designed to ensure that the adjusted path is still feasible for fixed-wing UAVs.Simulation experiments demonstrate the effectiveness of the proposed method.展开更多
An efficient algorithm for path planning is crucial for guiding autonomous surface vehicles(ASVs)through designated waypoints.However,current evaluations of ASV path planning mainly focus on comparing total path lengt...An efficient algorithm for path planning is crucial for guiding autonomous surface vehicles(ASVs)through designated waypoints.However,current evaluations of ASV path planning mainly focus on comparing total path lengths,using temporal models to estimate travel time,idealized integration of global and local motion planners,and omission of external environmental disturbances.These rudimentary criteria cannot adequately capture real-world operations.To address these shortcomings,this study introduces a simulation framework for evaluating navigation modules designed for ASVs.The proposed framework is implemented on a prototype ASV using the Robot Operating System(ROS)and the Gazebo simulation platform.The implementation processes replicated satellite images with the extended Kalman filter technique to acquire localized location data.Cost minimization for global trajectories is achieved through the application of Dijkstra and A*algorithms,while local obstacle avoidance is managed by the dynamic window approach algorithm.The results demonstrate the distinctions and intricacies of the metrics provided by the proposed simulation framework compared with the rudimentary criteria commonly utilized in conventional path planning works.展开更多
文摘The integration of industry and education provides intrinsic support for the construction of a collaborative education system between higher vocational colleges and enterprises.Based on the integration of industry and education,higher vocational colleges develop mass entrepreneurship and innovation education,which also requires the establishment of systems and institutions for mass entrepreneurship and innovation education to internally support the steady progress of the integration of industry and education.By clarifying the new demands for mass entrepreneurship and innovation education and the integration of industry and education in the new era,while further strengthening balanced development layouts,identifying practical educational issues in mass entrepreneurship and innovation education and the integration of industry and education,and formulating scientific practical strategies,this study expands the new development path of deepening mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges,providing educational support for the coordinated advancement of mass entrepreneurship and innovation education and the integration of industry and education in higher vocational colleges.
文摘With the development of the country and society,higher requirements for college students’professional quality and moral cultivation have been put forward.The purpose of teaching ideological and political courses in universities is to guide college students to solidly grasp ideological and political theoretical knowledge,continuously improve moral literacy,and become qualified successors of socialism.Practical teaching of ideological and political courses plays an essential role in educating and nurturing students.It can transform abstract theoretical knowledge into practical experiences that students can intuitively feel and understand.Through practical teaching,students can not only better understand and digest theoretical knowledge,but also apply this knowledge in real or simulated social environments,thereby gaining a deeper understanding of social phenomena and problems.Based on this,this article focuses on the analysis of the ideological and political practical education model and innovative path in universities in the new era.
基金Ministry of Education Supply and Demand Matching Employment Education Project,“Exploration and Practice of School-Enterprise Co-Education of Surveying and Mapping Professionals Under the Background of Industry-Education Integration”(Project No.:2024010250340)。
文摘To promote the achievement of high-quality and full employment goals for students in higher education,this paper analyzes the integration path of practical education and teaching in civil engineering and transportation majors,guided by surveying employment.This paper proposes three integration paths for practical teaching and education in civil engineering and transportation majors under the employment orientation.The first path is to create a modularized and informatized curriculum system.The second path is to deepen diverse cooperative practices between schools and enterprises.The third path is to construct a diversified quality evaluation system for academic achievement.To ensure the quality of education and employment,schools should continuously evaluate and reflect on the practical effects of these three paths to further optimize them.
文摘Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Training Content and Standards(2022 Edition),clinical pathology residents are required to master pathological diagnoses across 11 systems:skin,head and neck,mediastinum and respiratory,digestive,urinary and male reproductive,female reproductive and breast,lymphatic and hematopoietic,bone and soft tissue,cardiovascular,central nervous,and endocrine diseases.Senior pathologists specializing in each subspecialty selected classic pathological slides,which were systematically scanned and compiled into an electronic pathology library.Results:A questionnaire survey was conducted to gather feedback on the electronic pathology reading library.Residents generally found it to be convenient,efficient,and conducive to learning.Conclusion:Training in clinical pathology diagnosis is a core component of standardized resident training.The electronic pathology reading library has been well-received and recognized by resident doctors.However,further efforts are needed to explore diverse teaching methods that align with modern educational approaches,ultimately contributing to the development of highly skilled resident doctors.
基金the Research on Building a Theoretical System of Constitutional Supervision with Chinese Char-acteristics(Project Approval Number 23JDZ025)a major research project of the Ministry of Education in Philosophy and Social Sciences.
文摘The inclusion of the human rights clause in the Chi-nese Constitution is a concern and expression of the spirit of the Con-stitution,which has laid the institutional regulations of the fundamen-tal law for the development of human rights in China,provided the principles and value norms of the highest level of effectiveness for the legal protection of human rights,and built a profound constitutional basis for the formation and improvement of the Chinese path of human rights development.The human rights clause is not only a summariza-tion and affirmation of the historical practice of Chinese human rights development under the leadership of the Communist Party of China,but also a new starting point for the development of human rights in China under the leadership of the Communist Party of China.It marks that the development of human rights in China has entered a new era.The Party and the state have finally embarked on a path of human rights development with Chinese characteristics by formulating and implementing the Human Rights Action Plan of China,eliminating ab-solute poverty through the national poverty alleviation campaign,and promoting human rights protection through the rule of law.
基金supported by the14th Five-Year Plan for Education Science of Shaanxi Province(Grant No.SGH23Y2291)the Soft Science Research of Shaanxi Science and Technology Plan Project in 2021(Grant No.2021KRM011).
文摘The Chinese path to modernization has created a new form of human civilization,and the construction of a beautiful China’s eco-civilization is an integral part of it,providing a fundamental principle for promoting the construction of an eco-civilization in the new journey of Chinese path to modernization.The introduction of eco-civilization into the new form of human civilization is an essential requirement for upholding and developing socialism with Chinese characteristics,meeting the developmental needs of the Chinese path to modernization path,and fulfilling the intrinsic demands of achieving high-quality development.eco-civilization is a form of civilization in which humans coordinate their existence with nature,society,each other,and their inner selves.It is also a form of civilization where nature,life,humans,and society coexist and mutually thrive.The pursuit of a low-carbon existence requires breaking away from the goal of material happiness and re-establishing the goal of ecological well-being.Restoring the Earth’s carrying capacity,social self-purification,promoting climate habitatization constitute the fundamental tasks in constructing a society of eco-civilization.This article aims to explore the path of habitatized ecological environment,creating a society of eco-civilization,with three macro indicators in its practice:the habitatization of the natural ecological environment,the habitatization of the social ecological environment,and the coordination of these two in climate habitatization.
基金supported by the National Natural Science Foundation of China(Grant Nos.U22A20202 and 52275477).
文摘Trochoidal milling is known for its advantages in machining difficult-to-machine materials as it facilitates chip removal and tool cooling.However,the conventional trochoidal tool path presents challenges such as lower machining efficiency and longer machining time due to its time-varying cutter-workpiece engagement angle and a high percentage of non-cutting tool paths.To address these issues,this paper introduces a parameter-variant trochoidal-like(PVTR)tool path planning method for chatter-free and high-efficiency milling.This method ensures a constant engagement angle for each tool path period by adjusting the trochoidal radius and step.Initially,the nonlinear equation for the PVTR toolpath is established.Then,a segmented recurrence method is proposed to plan tool paths based on the desired engagement angle.The impact of trochoidal tool path parameters on the engagement angle is analyzed and coupled this information with the milling stability model based on spindle speed and engagement angle to determine the desired engagement angle throughout the machining process.Finally,several experimental tests are carried out using the bull-nose end mill to validate the feasibility and effectiveness of the proposed method.
基金supported in part by the National Natural Science Foundation of China(Nos.52205532 and 624B2077)the National Key Research and Development Program of China(No.2023YFB4302003).
文摘The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions.While three-dimensional(3D)bioprinting has shown promise,challenges persist with respect to achieving timely and compatible solutions to treat diverse skin injuries.In situ bioprinting has emerged as a key new technology,since it reduces risks during the implantation of printed scaffolds and demonstrates superior therapeutic effects.However,maintaining printing fidelity during in situ bioprinting remains a critical challenge,particularly with respect to model layering and path planning.This study proposes a novel optimization-based conformal path planning strategy for in situ bioprinting-based repair of complex skin injuries.This strategy employs constrained optimization to identify optimal waypoints on a point cloud-approximated curved surface,thereby ensuring a high degree of similarity between predesigned planar and surface-mapped 3D paths.Furthermore,this method is applicable for skin wound treatments,since it generates 3D-equidistant zigzag curves along surface tangents and enables multi-layer conformal path planning to facilitate the treatment of volumetric injuries.Furthermore,the proposed algorithm was found to be a feasible and effective treatment in a murine back injury model as well as in other complex models,thereby showcasing its potential to guide in situ bioprinting,enhance bioprinting fidelity,and facilitate improvement of clinical outcomes.
文摘To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The inspection robot utilizes multiple sensors to monitor key parameters of the fans,such as vibration,noise,and bearing temperature,and upload the data to the monitoring center.The robot’s inspection path employs the improved A^(*)algorithm,incorporating obstacle penalty terms,path reconstruction,and smoothing optimization techniques,thereby achieving optimal path planning for the inspection robot in complex environments.Simulation results demonstrate that the improved A^(*)algorithm significantly outperforms the traditional A^(*)algorithm in terms of total path distance,smoothness,and detour rate,effectively improving the execution efficiency of inspection tasks.
基金supported by the National Natural Science Foundation of China(No.62373027).
文摘In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms to solve the problem of multi-UAV path planning.The Dung Beetle Optimization(DBO)algorithm has been widely applied due to its diverse search patterns in the above algorithms.However,the update strategies for the rolling and thieving dung beetles of the DBO algorithm are overly simplistic,potentially leading to an inability to fully explore the search space and a tendency to converge to local optima,thereby not guaranteeing the discovery of the optimal path.To address these issues,we propose an improved DBO algorithm guided by the Landmark Operator(LODBO).Specifically,we first use tent mapping to update the population strategy,which enables the algorithm to generate initial solutions with enhanced diversity within the search space.Second,we expand the search range of the rolling ball dung beetle by using the landmark factor.Finally,by using the adaptive factor that changes with the number of iterations.,we improve the global search ability of the stealing dung beetle,making it more likely to escape from local optima.To verify the effectiveness of the proposed method,extensive simulation experiments are conducted,and the result shows that the LODBO algorithm can obtain the optimal path using the shortest time compared with the Genetic Algorithm(GA),the Gray Wolf Optimizer(GWO),the Whale Optimization Algorithm(WOA)and the original DBO algorithm in the disaster search and rescue task set.
基金Open Research Project of Henan Provincial Key Medicine Laboratory of Nursing(HNSYHLKT202303 and HNSYXZKT202441)Henan Provincial Key Scientific Programs for Universities(25A330004)Henan Provincial Innovative Training Program for Undergraduates(S202410472013)。
文摘The advancement of society and continuous improvements in the healthcare system have heightened the demands on professional nursing training,necessitating that nursing education better meet practical needs in an increasingly diversified medical environment.To address these requirements,the teaching approaches and assessment methods in nursing education should be reformed and updated.This study conducted a comprehensive analysis of the current state of nursing education and proposed potential pathways to enhance nursing education in medical schools.These pathways include implementing a student-centered teaching approach,incorporating various teaching activities,emphasizing the development of students’practical skills,and reforming assessment methods to cultivate well-rounded professionals.The application of these strategies will help improve the effectiveness of classroom teaching,deepen students’understanding of theoretical knowledge and practical skills,and thereby contribute to the improvement of nursing education quality.
基金supported by the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan under Grant No.249015/0224.
文摘Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network coverage.In natural disasters,timely delivery of first aid supplies is crucial.Current UAVs face risks such as crashing into birds or unexpected structures.Airdrop systems with parachutes risk dispersing payloads away from target locations.The objective here is to use multiple UAVs to distribute payloads cooperatively to assigned locations.The civil defense department must balance coverage,accurate landing,and flight safety while considering battery power and capability.Deep Q-network(DQN)models are commonly used in multi-UAV path planning to effectively represent the surroundings and action spaces.Earlier strategies focused on advanced DQNs for UAV path planning in different configurations,but rarely addressed non-cooperative scenarios and disaster environments.This paper introduces a new DQN framework to tackle challenges in disaster environments.It considers unforeseen structures and birds that could cause UAV crashes and assumes urgent landing zones and winch-based airdrop systems for precise delivery and return.A new DQN model is developed,which incorporates the battery life,safe flying distance between UAVs,and remaining delivery points to encode surrounding hazards into the state space and Q-networks.Additionally,a unique reward system is created to improve UAV action sequences for better delivery coverage and safe landings.The experimental results demonstrate that multi-UAV first aid delivery in disaster environments can achieve advanced performance.
文摘Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous control process of SMR can be divided into three stages,say,state diagnosis,autonomous decision-making and coordinated control.In this paper,the autonomous state recognition and task planning of unmanned SMR are investigated.An operating condition recognition method based on the knowledge base of SMR operation is proposed by using the artificial neural network(ANN)technology,which constructs a basis for the state judgment of intelligent reactor control path planning.An improved reinforcement learning path planning algorithm is utilized to implement the path transfer decision-makingThis algorithm performs condition transitions with minimal cost under specified modes.In summary,the full range control path intelligent decision-planning technology of SMR is realized,thus provides some theoretical basis for the design and build of unmanned SMR in the future.
基金Supported by the National Key R&D Program of China(2021YFB2011300)the National Natural Science Foundation of China(52275044,52205299)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(Z23E050032)the China Postdoctoral Science Foundation(2022M710304).
文摘The operating environment of the diesel engine air path system is complex and may be affected by external random disturbances.Potentially leading to faults.This paper addresses the fault-tolerant control problem of the diesel engine air path system,assuming that the system may simultaneously be affected by actuator faults and external random disturbances,a disturbance observer-based sliding mode controller is designed.Through the linear matrix inequality technique for solving observer and controller gains,optimal gain matrices can be obtained,eliminating the manual adjustment process of controller parameters and reducing the chattering phenomenon of the sliding mode surface.Finally,the effectiveness of the proposed method is verified through simulation analysis.
文摘In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V(G)to { 0,1,⋯,k−1 }where k is an integer, 1≤k≤| V(G) |. For each edge uvassign the label f(u)f(v)(modk). f is called a k-product cordial labeling if | vf(i)−vf(j) |≤1, and | ef(i)−ef(j) |≤1, i,j∈{ 0,1,⋯,k−1 }, where vf(x)and ef(x)denote the number of vertices and edges respectively labeled with x (x=0,1,⋯,k−1). Motivated by this concept, we further studied and established that several families of graphs admit k-product cordial labeling. In this paper, we show that the path graphs Pnadmit k-product cordial labeling.
文摘This paper, an addendum to “Dialectical Thermodynamics’ solution to the conceptual imbroglio that is the reversible path”, this journal, 10, 775-799, was written in response to the requests of several readers to provide further evidence of the said “imbroglio”. The evidence here presented relates to the incompatibility existing between the total-entropy and the Gibbs energy prescriptions for the reversible path. The previously published proof of the negentropic nature of the transformation of heat into work is here included to validate out conclusions about the Gibbs energy perspective.
基金supported by the National Science Fund for Distinguished Young Scholars(52425211)BIT Research Fund Program for Young Scholars(XSQD-202201005).
文摘A three-dimensional path-planning approach has been developed to coordinate multiple fixed-wing unmanned aerial vehicles(UAVs)while avoiding collisions.The hierarchical path-planning architecture that divides the path-planning process into two layers is proposed by designing the velocityobstacle strategy for satisfying timeliness and effectiveness.The upper-level layer focuses on creating an efficient Dubins initial path considering the dynamic constraints of the fixed wing.Subsequently,the lower-level layer detects potential collisions and adjusts its flight paths to avoid collisions by using the threedimensional velocity obstacle method,which describes the maneuvering space of collision avoidance as the intersection space of half space.To further handle the dynamic and collisionavoidance constraints,a priority mechanism is designed to ensure that the adjusted path is still feasible for fixed-wing UAVs.Simulation experiments demonstrate the effectiveness of the proposed method.
基金Supported by the funding from RMIT Internal Research Grant R1.
文摘An efficient algorithm for path planning is crucial for guiding autonomous surface vehicles(ASVs)through designated waypoints.However,current evaluations of ASV path planning mainly focus on comparing total path lengths,using temporal models to estimate travel time,idealized integration of global and local motion planners,and omission of external environmental disturbances.These rudimentary criteria cannot adequately capture real-world operations.To address these shortcomings,this study introduces a simulation framework for evaluating navigation modules designed for ASVs.The proposed framework is implemented on a prototype ASV using the Robot Operating System(ROS)and the Gazebo simulation platform.The implementation processes replicated satellite images with the extended Kalman filter technique to acquire localized location data.Cost minimization for global trajectories is achieved through the application of Dijkstra and A*algorithms,while local obstacle avoidance is managed by the dynamic window approach algorithm.The results demonstrate the distinctions and intricacies of the metrics provided by the proposed simulation framework compared with the rudimentary criteria commonly utilized in conventional path planning works.
