With the rapid development of the internet,smart classroom has become the research interest of modern-day educational informatization.With Tiktok,WeChat,QQ,and other new media,the intelligent teaching model of"ne...With the rapid development of the internet,smart classroom has become the research interest of modern-day educational informatization.With Tiktok,WeChat,QQ,and other new media,the intelligent teaching model of"new media+education" has been derived.The research subject in this study is the economic and management xmdergraduate course,Principles of Economics.In regard to that,it is expounded based on the new media and an intelligent teaching model is designed in line with the development of colleges and universities in the new era to change the plight of the traditional classroom teaching model,stimulate learners'enthusiasm and interest in learning,as well as improve the teaching effect.展开更多
[Objectives]To evaluate the effectiveness of Rain Classroom intelligent teaching in the course of Spring Water Tourism Resources.[Methods]The course of Spring Water Tourism Resources in the course of Overview of Touri...[Objectives]To evaluate the effectiveness of Rain Classroom intelligent teaching in the course of Spring Water Tourism Resources.[Methods]The course of Spring Water Tourism Resources in the course of Overview of Tourism Resources was taken as an example,the pre-class preparation,in-class teaching,and after-class evaluation links were designed separately through the Rain Classroom platform.Then,a questionnaire survey was carried out for the students of Spring Water Tourism Resources.[Results]About 58.3%of the students believed that the greatest advantage of using the Rain Classroom teaching platform is that the learning method is flexible and can improve the ability of independent learning;61.78%of students stated that playing 3D animation in the classroom has the best effect for learning different tourism resources;with the aid of the Rain Classroom platform,the communication between teachers and students becomes more timely,and the students' ability to deal with practical problems can be practiced.[Conclusions]This study is intended to build an intelligent classroom model suitable for tourism management department based on the Rain Classroom platform.It is recommended to promote and apply this model in the teaching of tourism management.展开更多
The multi-interactive teaching mode based on the information technology is a new teaching mode, which promotes students' autonomous learning and research-oriented learning through the online and offline effective ...The multi-interactive teaching mode based on the information technology is a new teaching mode, which promotes students' autonomous learning and research-oriented learning through the online and offline effective interaction in and out of class, fully embodying the principle of the learning-orientation. Based on this, this paper focuses on the connotation and the theoretical basis o f the multi-interactive teaching model, as well as its implementation practices and characteristics, with a view o f providing help to improve the quality of the college English teaching.展开更多
The most widely used area of intelligent education supported by mobile technology is language learning. From the perspective of cognition, this study starts from the study of the second language theory and proposes th...The most widely used area of intelligent education supported by mobile technology is language learning. From the perspective of cognition, this study starts from the study of the second language theory and proposes the design idea of the "three rounds and three stages" teaching mode of the college English wisdom classroom from the perspective of the third language learning, and explores the implementation process. Finally, the paper analyzes the actual effect of the teaching model of the English-language classroom of College English English, and proposes corresponding suggestions.展开更多
Research purposes:in this study,the intelligent bionic robotic horse is introduced into the equestrian teaching for teenagers,compared with the traditional teaching mode of using real horses.This research aims to expl...Research purposes:in this study,the intelligent bionic robotic horse is introduced into the equestrian teaching for teenagers,compared with the traditional teaching mode of using real horses.This research aims to explore the effectiveness of using intelligent bionic robotic horse in equestrian teaching for teenagers,as well as to promote the further development of equestrian teaching for teenagers in China,and to promote the introduction of new technology into the equestrian teaching area in the age of internet.Research methods:the methods used were literature method;mathematical statistics;interviewing the equestrian coaches who participated in the experiment;experimental method.The intelligent bionic robotic horse used in this research is the GETTAEN intelligent bionic robotic horse produced by Joy Game Technology Co.,Ltd.The bionic robotic horse is equipped with Internet technology,and the course is supervised and produced by senior coaches of China Equestrian Team.It also includes multiple operation modes.In this study,40 amateur students in Beijing Chaoyang Park Youth Equestrian Center were selected as the experimental subjects.Students will spend 40 h on studying how to ride a horse.Twenty(20)students in the experimental group,they are accommodated with 20 h of bionic robotic horse courses and 20 h of real horse course;20 students in the control group were taught in the traditional teaching mode with 40 h of real horse courses.Results:(1)in horseback physical fitness test,the average value of the control group was 101.9 s;325.6 s in the experimental group.Independent sample T test p<0.05 has significant difference,the horseback physical performance in experimental group is better than the control group.(2)in horseback physical balance test,the average value of the control group was 3.75,and the average value of the experimental group was 7.1.Independent sample T test p<0.05 has significant difference,the horseback physical balance test results in experimental group have significant difference,and the experimental group is better than the control group.(3)The interview method was used to interview the equestrian coaches who participated in the experiment,coaches think that the bionic robotic horse can speed up the learning progress and has a strong technical consolidation,especially for teaching amateurs;but for the time being,it cannot meet the training and improvement target of the actual horse control ability and the ability to grasp the route,and such experience is not real and good enough for senior students.Conclusion:using real horse and intelligent bionic robotic horse combined,one can improve the teaching effectiveness and promote students’adaptation to horseback and technical mastery.But for the time being,it is only suitable for students with weak foundation or zero foundation.The capability of intelligent bionic robotic horse needs to be strengthened,and technological innovation is needed to adapt to all kinds of students.展开更多
The migration of healthcare professionals,including nurses,is a global phenomenon.It is driven by various factors,including the pursuit of better opportunities,living conditions,and professional development,as well as...The migration of healthcare professionals,including nurses,is a global phenomenon.It is driven by various factors,including the pursuit of better opportunities,living conditions,and professional development,as well as political instability or conflict in their home countries.The World Health Organization(WHO)has noted that high-income countries often rely on foreign-trained nurses to fill gaps in their healthcare systems[1].For instance,as of 2021,over 40%(52 million)of all nurses in the United States(US)were expatriates[2].In the United Kingdom(UK),the percentage of expatriate nurses was even higher,reaching approximately 18%in 2021[3].Owing to globalization and migration,healthcare providers must possess cultural competence to deliver improved care[4,5].Culturally responsive teaching(CRT)is rooted in the idea that culture plays a vital role in shaping people’s behaviors,beliefs,values,and communication styles[6].Furthermore,these cultural factors influence patients’perspectives on health,illness,healing,and their preferences for care and communication[7].By recognizing and embracing these cultural differences,nurses can provide more effective and compassionate care to their diverse patient population[8].展开更多
A summary of the exploration of the teaching mode of the general practice teaching clinic, a summary of the deficiencies of the teaching clinic and a summary of the significance of the establishment of the general pra...A summary of the exploration of the teaching mode of the general practice teaching clinic, a summary of the deficiencies of the teaching clinic and a summary of the significance of the establishment of the general practice teaching clinic are presented with a view to promoting the development of general practice and cultivating more excellent successors in general practice.展开更多
BACKGROUND With the continuous development and progress of medical technology,the position of surgical nursing in the field of clinical medicine is becoming in-creasingly prominent.As an important branch of the surgic...BACKGROUND With the continuous development and progress of medical technology,the position of surgical nursing in the field of clinical medicine is becoming in-creasingly prominent.As an important branch of the surgical field,the nursing requirements and difficulty of gastrointestinal surgery are also increasing.In order to improve the teaching quality of nursing care in gastrointestinal surgery,many educators and researchers are actively exploring new teaching methods.Among them,the teaching method case-based learning(CBL),scene-simulated learning(SSL),task-based learning(TBL),combining self-evaluation and training mode is considered as an effective method.This method aims to help students to better master knowledge and skills and improve their comprehensive quality by cultivating their self-evaluation ability.AIM To explore the practical effect of CBL-SSL-TBL combined with training mode and student self-assessment in nursing teaching of gastrointestinal surgery.METHODS Seventy-one nursing interns in our hospital from December 2020 to December 2021 were selected.According to different teaching modes,they were divided into observation group CBL-SSL-TBL combined with training mode combined with student self-assessment and control group(conventional teaching mode),of which 36 were in observation group and 35 were in control group.The results of operational skills,theoretical knowledge,nursing students'satisfaction,learning effectiveness questionnaire and teaching effect were compared between the two groups.RESULTS Compared between the two groups,the operational skills and theoretical knowledge scores of the observation group were higher than those of the control group,and the difference was statistically significant(P<0.05).Compared between the two groups,the total satisfaction ratio of the observation group was higher than that of the control group,the difference was statistically significant(P<0.05).Compared between the two groups,the observation group was lower than the control group in the questionnaire results of learning efficacy,and the difference was statistically significant(P<0.05).Compared between the two groups,the proportion of thinking ability,subjective initiative and understanding of theoretical knowledge in the observation group was higher than that in the control group,the difference was statistically significant(P<0.05).CONCLUSION The use of CBL-SSL-TBL combined with training mode and student self-assessment in gastrointestinal surgery nursing teaching can improve the operational skills of nursing interns,theoretical knowledge and satisfaction scores of nursing students,improve the results of learning efficiency questionnaire and teaching effect,which can be popularized in clinical teaching.展开更多
How to mine valuable information from massive multisource heterogeneous data and identify the intention of aerial targets is a major research focus at present. Aiming at the longterm dependence of air target intention...How to mine valuable information from massive multisource heterogeneous data and identify the intention of aerial targets is a major research focus at present. Aiming at the longterm dependence of air target intention recognition, this paper deeply explores the potential attribute features from the spatiotemporal sequence data of the target. First, we build an intelligent dynamic intention recognition framework, including a series of specific processes such as data source, data preprocessing,target space-time, convolutional neural networks-bidirectional gated recurrent unit-atteneion (CBA) model and intention recognition. Then, we analyze and reason the designed CBA model in detail. Finally, through comparison and analysis with other recognition model experiments, our proposed method can effectively improve the accuracy of air target intention recognition,and is of significance to the commanders’ operational command and situation prediction.展开更多
In order to better carry out research on education and teaching,the author consulted relevant literature on blended teaching mode from 2011-2021 through CNKI,Web of Science and other websites,summarized and analyzed t...In order to better carry out research on education and teaching,the author consulted relevant literature on blended teaching mode from 2011-2021 through CNKI,Web of Science and other websites,summarized and analyzed the research status of blended teaching mode,in order to lay a good foundation for studying blended teaching mode in course teaching.展开更多
Lower Earth Orbit(LEO) satellite becomes an important part of complementing terrestrial communication due to its lower orbital altitude and smaller propagation delay than Geostationary satellite. However, the LEO sate...Lower Earth Orbit(LEO) satellite becomes an important part of complementing terrestrial communication due to its lower orbital altitude and smaller propagation delay than Geostationary satellite. However, the LEO satellite communication system cannot meet the requirements of users when the satellite-terrestrial link is blocked by obstacles. To solve this problem, we introduce Intelligent reflect surface(IRS) for improving the achievable rate of terrestrial users in LEO satellite communication. We investigated joint IRS scheduling, user scheduling, power and bandwidth allocation(JIRPB) optimization algorithm for improving LEO satellite system throughput.The optimization problem of joint user scheduling and resource allocation is formulated as a non-convex optimization problem. To cope with this problem, the nonconvex optimization problem is divided into resource allocation optimization sub-problem and scheduling optimization sub-problem firstly. Second, we optimize the resource allocation sub-problem via alternating direction multiplier method(ADMM) and scheduling sub-problem via Lagrangian dual method repeatedly.Third, we prove that the proposed resource allocation algorithm based ADMM approaches sublinear convergence theoretically. Finally, we demonstrate that the proposed JIRPB optimization algorithm improves the LEO satellite communication system throughput.展开更多
With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment operation.The analysis of such data is pivo...With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment operation.The analysis of such data is pivotal for ensuring production safety,a critical factor in monitoring the health status of manufacturing apparatus.Conventional defect detection techniques,typically limited to specific scenarios,often require manual feature extraction,leading to inefficiencies and limited versatility in the overall process.Our research presents an intelligent defect detection methodology that leverages deep learning techniques to automate feature extraction and defect localization processes.Our proposed approach encompasses a suite of components:the high-level feature learning block(HLFLB),the multi-scale feature learning block(MSFLB),and a dynamic adaptive fusion block(DAFB),working in tandem to extract meticulously and synergistically aggregate defect-related characteristics across various scales and hierarchical levels.We have conducted validation of the proposed method using datasets derived from gearbox and bearing assessments.The empirical outcomes underscore the superior defect detection capability of our approach.It demonstrates consistently high performance across diverse datasets and possesses the accuracy required to categorize defects,taking into account their specific locations and the extent of damage,proving the method’s effectiveness and reliability in identifying defects in industrial components.展开更多
Background: The rate of accidental dural puncture is particularly high during the period of training, especially in novices. The structured epidural teaching model (SETM) includes three standardized video lessons, the...Background: The rate of accidental dural puncture is particularly high during the period of training, especially in novices. The structured epidural teaching model (SETM) includes three standardized video lessons, the construction of a 3D epidural module by trainees and practical training by using an epidural simulator with and without the CompuFlo™ Epidural instrument. In this study we report the retrospective analysis of the accidental dural puncture rate of inexperienced trainees during their 6 months clinical practice rotation in obstetrics before and after the introduction of the SETM in our Institution. Method: We evaluated the incidence of accidental dural puncture before the introduction of the SETM methodology and afterwards by analyzing our departmental database from February 2019 to January 2023. All epidural blocks were executed by trainees who had never previously performed an epidural block and were about to begin their obstetrics rotation. Results: We analyzed 7415 epidurals: 3703 were performed before the introduction of the SETM methodology (control group) and 3712 afterwards (study group). The incidence of accidental dural puncture was 0.37% for the control group and 0.13% for the study group (p<.05). The probability of making an accidental dural puncture was 64% (OR: 0.36) lower for trainees who had the training than for those who did not. Conclusions: After the introduction of the structured teaching method, we observed a significant reduction of accidental dural puncture during the training period. We hope that our observation will encourage a constructive discussion among experts about the need to use standardized and validated tools as a valuable aid in teaching epidural anesthesia.展开更多
A large amount of mobile data from growing high-speed train(HST)users makes intelligent HST communications enter the era of big data.The corresponding artificial intelligence(AI)based HST channel modeling becomes a tr...A large amount of mobile data from growing high-speed train(HST)users makes intelligent HST communications enter the era of big data.The corresponding artificial intelligence(AI)based HST channel modeling becomes a trend.This paper provides AI based channel characteristic prediction and scenario classification model for millimeter wave(mmWave)HST communications.Firstly,the ray tracing method verified by measurement data is applied to reconstruct four representative HST scenarios.By setting the positions of transmitter(Tx),receiver(Rx),and other parameters,the multi-scenarios wireless channel big data is acquired.Then,based on the obtained channel database,radial basis function neural network(RBF-NN)and back propagation neural network(BP-NN)are trained for channel characteristic prediction and scenario classification.Finally,the channel characteristic prediction and scenario classification capabilities of the network are evaluated by calculating the root mean square error(RMSE).The results show that RBF-NN can generally achieve better performance than BP-NN,and is more applicable to prediction of HST scenarios.展开更多
In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a...In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application prospect.Firstly,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is constructed.In order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried out.The simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight simulation.Secondly,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy respectively.The intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight parameters.Compared with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability error.The intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.展开更多
Humans can perceive our complex world through multi-sensory fusion.Under limited visual conditions,people can sense a variety of tactile signals to identify objects accurately and rapidly.However,replicating this uniq...Humans can perceive our complex world through multi-sensory fusion.Under limited visual conditions,people can sense a variety of tactile signals to identify objects accurately and rapidly.However,replicating this unique capability in robots remains a significant challenge.Here,we present a new form of ultralight multifunctional tactile nano-layered carbon aerogel sensor that provides pressure,temperature,material recognition and 3D location capabilities,which is combined with multimodal supervised learning algorithms for object recognition.The sensor exhibits human-like pressure(0.04–100 kPa)and temperature(21.5–66.2℃)detection,millisecond response times(11 ms),a pressure sensitivity of 92.22 kPa^(−1)and triboelectric durability of over 6000 cycles.The devised algorithm has universality and can accommodate a range of application scenarios.The tactile system can identify common foods in a kitchen scene with 94.63%accuracy and explore the topographic and geomorphic features of a Mars scene with 100%accuracy.This sensing approach empowers robots with versatile tactile perception to advance future society toward heightened sensing,recognition and intelligence.展开更多
The rapid development of artificial intelligence(AI)technology has brought new opportunities and challenges to the field of education.As an important link in cultivating students’comprehensive quality and socialist c...The rapid development of artificial intelligence(AI)technology has brought new opportunities and challenges to the field of education.As an important link in cultivating students’comprehensive quality and socialist core values,it is necessary to carry out continuous teaching reform and innovation in ideological and political courses in colleges and universities.Based on the concept of AI empowering the teaching reform of ideological and political courses,this study aims to explore how to use artificial intelligence technology to improve the teaching effect and learning experience of ideological and political courses.The research first analyzes the application status of artificial intelligence technology in education,and then discusses the application potential of artificial intelligence in ideological and political courses.Subsequently,the teaching reform strategy of ideological and political courses based on artificial intelligence is proposed,including the use of virtual reality technology,the application of intelligent auxiliary teaching tools to enhance personalized teaching,and the construction of an intelligent learning management system.Lastly,a case analysis is conducted to explore the implementation effect of the teaching reform of ideological and political courses in universities.The results showed that the application of artificial intelligence technology can effectively improve the teaching effect and learning experience of ideological and political courses,and provide new ideas and methods for the teaching reform of ideological and political courses in universities.展开更多
AIM:To develop an artificial intelligence(AI)diagnosis model based on deep learning(DL)algorithm to diagnose different types of retinal vein occlusion(RVO)by recognizing color fundus photographs(CFPs).METHODS:Totally ...AIM:To develop an artificial intelligence(AI)diagnosis model based on deep learning(DL)algorithm to diagnose different types of retinal vein occlusion(RVO)by recognizing color fundus photographs(CFPs).METHODS:Totally 914 CFPs of healthy people and patients with RVO were collected as experimental data sets,and used to train,verify and test the diagnostic model of RVO.All the images were divided into four categories[normal,central retinal vein occlusion(CRVO),branch retinal vein occlusion(BRVO),and macular retinal vein occlusion(MRVO)]by three fundus disease experts.Swin Transformer was used to build the RVO diagnosis model,and different types of RVO diagnosis experiments were conducted.The model’s performance was compared to that of the experts.RESULTS:The accuracy of the model in the diagnosis of normal,CRVO,BRVO,and MRVO reached 1.000,0.978,0.957,and 0.978;the specificity reached 1.000,0.986,0.982,and 0.976;the sensitivity reached 1.000,0.955,0.917,and 1.000;the F1-Sore reached 1.000,0.9550.943,and 0.887 respectively.In addition,the area under curve of normal,CRVO,BRVO,and MRVO diagnosed by the diagnostic model were 1.000,0.900,0.959 and 0.970,respectively.The diagnostic results were highly consistent with those of fundus disease experts,and the diagnostic performance was superior.CONCLUSION:The diagnostic model developed in this study can well diagnose different types of RVO,effectively relieve the work pressure of clinicians,and provide help for the follow-up clinical diagnosis and treatment of RVO patients.展开更多
Based on the current situation of academic English teaching, this paper discusses “student-centered” teaching strategy in the Academic English Reading and Writing, and explore how to integrate it in classroom activi...Based on the current situation of academic English teaching, this paper discusses “student-centered” teaching strategy in the Academic English Reading and Writing, and explore how to integrate it in classroom activities.展开更多
文摘With the rapid development of the internet,smart classroom has become the research interest of modern-day educational informatization.With Tiktok,WeChat,QQ,and other new media,the intelligent teaching model of"new media+education" has been derived.The research subject in this study is the economic and management xmdergraduate course,Principles of Economics.In regard to that,it is expounded based on the new media and an intelligent teaching model is designed in line with the development of colleges and universities in the new era to change the plight of the traditional classroom teaching model,stimulate learners'enthusiasm and interest in learning,as well as improve the teaching effect.
文摘[Objectives]To evaluate the effectiveness of Rain Classroom intelligent teaching in the course of Spring Water Tourism Resources.[Methods]The course of Spring Water Tourism Resources in the course of Overview of Tourism Resources was taken as an example,the pre-class preparation,in-class teaching,and after-class evaluation links were designed separately through the Rain Classroom platform.Then,a questionnaire survey was carried out for the students of Spring Water Tourism Resources.[Results]About 58.3%of the students believed that the greatest advantage of using the Rain Classroom teaching platform is that the learning method is flexible and can improve the ability of independent learning;61.78%of students stated that playing 3D animation in the classroom has the best effect for learning different tourism resources;with the aid of the Rain Classroom platform,the communication between teachers and students becomes more timely,and the students' ability to deal with practical problems can be practiced.[Conclusions]This study is intended to build an intelligent classroom model suitable for tourism management department based on the Rain Classroom platform.It is recommended to promote and apply this model in the teaching of tourism management.
文摘The multi-interactive teaching mode based on the information technology is a new teaching mode, which promotes students' autonomous learning and research-oriented learning through the online and offline effective interaction in and out of class, fully embodying the principle of the learning-orientation. Based on this, this paper focuses on the connotation and the theoretical basis o f the multi-interactive teaching model, as well as its implementation practices and characteristics, with a view o f providing help to improve the quality of the college English teaching.
文摘The most widely used area of intelligent education supported by mobile technology is language learning. From the perspective of cognition, this study starts from the study of the second language theory and proposes the design idea of the "three rounds and three stages" teaching mode of the college English wisdom classroom from the perspective of the third language learning, and explores the implementation process. Finally, the paper analyzes the actual effect of the teaching model of the English-language classroom of College English English, and proposes corresponding suggestions.
文摘Research purposes:in this study,the intelligent bionic robotic horse is introduced into the equestrian teaching for teenagers,compared with the traditional teaching mode of using real horses.This research aims to explore the effectiveness of using intelligent bionic robotic horse in equestrian teaching for teenagers,as well as to promote the further development of equestrian teaching for teenagers in China,and to promote the introduction of new technology into the equestrian teaching area in the age of internet.Research methods:the methods used were literature method;mathematical statistics;interviewing the equestrian coaches who participated in the experiment;experimental method.The intelligent bionic robotic horse used in this research is the GETTAEN intelligent bionic robotic horse produced by Joy Game Technology Co.,Ltd.The bionic robotic horse is equipped with Internet technology,and the course is supervised and produced by senior coaches of China Equestrian Team.It also includes multiple operation modes.In this study,40 amateur students in Beijing Chaoyang Park Youth Equestrian Center were selected as the experimental subjects.Students will spend 40 h on studying how to ride a horse.Twenty(20)students in the experimental group,they are accommodated with 20 h of bionic robotic horse courses and 20 h of real horse course;20 students in the control group were taught in the traditional teaching mode with 40 h of real horse courses.Results:(1)in horseback physical fitness test,the average value of the control group was 101.9 s;325.6 s in the experimental group.Independent sample T test p<0.05 has significant difference,the horseback physical performance in experimental group is better than the control group.(2)in horseback physical balance test,the average value of the control group was 3.75,and the average value of the experimental group was 7.1.Independent sample T test p<0.05 has significant difference,the horseback physical balance test results in experimental group have significant difference,and the experimental group is better than the control group.(3)The interview method was used to interview the equestrian coaches who participated in the experiment,coaches think that the bionic robotic horse can speed up the learning progress and has a strong technical consolidation,especially for teaching amateurs;but for the time being,it cannot meet the training and improvement target of the actual horse control ability and the ability to grasp the route,and such experience is not real and good enough for senior students.Conclusion:using real horse and intelligent bionic robotic horse combined,one can improve the teaching effectiveness and promote students’adaptation to horseback and technical mastery.But for the time being,it is only suitable for students with weak foundation or zero foundation.The capability of intelligent bionic robotic horse needs to be strengthened,and technological innovation is needed to adapt to all kinds of students.
文摘The migration of healthcare professionals,including nurses,is a global phenomenon.It is driven by various factors,including the pursuit of better opportunities,living conditions,and professional development,as well as political instability or conflict in their home countries.The World Health Organization(WHO)has noted that high-income countries often rely on foreign-trained nurses to fill gaps in their healthcare systems[1].For instance,as of 2021,over 40%(52 million)of all nurses in the United States(US)were expatriates[2].In the United Kingdom(UK),the percentage of expatriate nurses was even higher,reaching approximately 18%in 2021[3].Owing to globalization and migration,healthcare providers must possess cultural competence to deliver improved care[4,5].Culturally responsive teaching(CRT)is rooted in the idea that culture plays a vital role in shaping people’s behaviors,beliefs,values,and communication styles[6].Furthermore,these cultural factors influence patients’perspectives on health,illness,healing,and their preferences for care and communication[7].By recognizing and embracing these cultural differences,nurses can provide more effective and compassionate care to their diverse patient population[8].
文摘A summary of the exploration of the teaching mode of the general practice teaching clinic, a summary of the deficiencies of the teaching clinic and a summary of the significance of the establishment of the general practice teaching clinic are presented with a view to promoting the development of general practice and cultivating more excellent successors in general practice.
文摘BACKGROUND With the continuous development and progress of medical technology,the position of surgical nursing in the field of clinical medicine is becoming in-creasingly prominent.As an important branch of the surgical field,the nursing requirements and difficulty of gastrointestinal surgery are also increasing.In order to improve the teaching quality of nursing care in gastrointestinal surgery,many educators and researchers are actively exploring new teaching methods.Among them,the teaching method case-based learning(CBL),scene-simulated learning(SSL),task-based learning(TBL),combining self-evaluation and training mode is considered as an effective method.This method aims to help students to better master knowledge and skills and improve their comprehensive quality by cultivating their self-evaluation ability.AIM To explore the practical effect of CBL-SSL-TBL combined with training mode and student self-assessment in nursing teaching of gastrointestinal surgery.METHODS Seventy-one nursing interns in our hospital from December 2020 to December 2021 were selected.According to different teaching modes,they were divided into observation group CBL-SSL-TBL combined with training mode combined with student self-assessment and control group(conventional teaching mode),of which 36 were in observation group and 35 were in control group.The results of operational skills,theoretical knowledge,nursing students'satisfaction,learning effectiveness questionnaire and teaching effect were compared between the two groups.RESULTS Compared between the two groups,the operational skills and theoretical knowledge scores of the observation group were higher than those of the control group,and the difference was statistically significant(P<0.05).Compared between the two groups,the total satisfaction ratio of the observation group was higher than that of the control group,the difference was statistically significant(P<0.05).Compared between the two groups,the observation group was lower than the control group in the questionnaire results of learning efficacy,and the difference was statistically significant(P<0.05).Compared between the two groups,the proportion of thinking ability,subjective initiative and understanding of theoretical knowledge in the observation group was higher than that in the control group,the difference was statistically significant(P<0.05).CONCLUSION The use of CBL-SSL-TBL combined with training mode and student self-assessment in gastrointestinal surgery nursing teaching can improve the operational skills of nursing interns,theoretical knowledge and satisfaction scores of nursing students,improve the results of learning efficiency questionnaire and teaching effect,which can be popularized in clinical teaching.
基金supported by the National Natural Science Foundation of China (61502523)。
文摘How to mine valuable information from massive multisource heterogeneous data and identify the intention of aerial targets is a major research focus at present. Aiming at the longterm dependence of air target intention recognition, this paper deeply explores the potential attribute features from the spatiotemporal sequence data of the target. First, we build an intelligent dynamic intention recognition framework, including a series of specific processes such as data source, data preprocessing,target space-time, convolutional neural networks-bidirectional gated recurrent unit-atteneion (CBA) model and intention recognition. Then, we analyze and reason the designed CBA model in detail. Finally, through comparison and analysis with other recognition model experiments, our proposed method can effectively improve the accuracy of air target intention recognition,and is of significance to the commanders’ operational command and situation prediction.
文摘In order to better carry out research on education and teaching,the author consulted relevant literature on blended teaching mode from 2011-2021 through CNKI,Web of Science and other websites,summarized and analyzed the research status of blended teaching mode,in order to lay a good foundation for studying blended teaching mode in course teaching.
基金supported by the National Key R&D Program of China under Grant 2020YFB1807900the National Natural Science Foundation of China (NSFC) under Grant 61931005Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center。
文摘Lower Earth Orbit(LEO) satellite becomes an important part of complementing terrestrial communication due to its lower orbital altitude and smaller propagation delay than Geostationary satellite. However, the LEO satellite communication system cannot meet the requirements of users when the satellite-terrestrial link is blocked by obstacles. To solve this problem, we introduce Intelligent reflect surface(IRS) for improving the achievable rate of terrestrial users in LEO satellite communication. We investigated joint IRS scheduling, user scheduling, power and bandwidth allocation(JIRPB) optimization algorithm for improving LEO satellite system throughput.The optimization problem of joint user scheduling and resource allocation is formulated as a non-convex optimization problem. To cope with this problem, the nonconvex optimization problem is divided into resource allocation optimization sub-problem and scheduling optimization sub-problem firstly. Second, we optimize the resource allocation sub-problem via alternating direction multiplier method(ADMM) and scheduling sub-problem via Lagrangian dual method repeatedly.Third, we prove that the proposed resource allocation algorithm based ADMM approaches sublinear convergence theoretically. Finally, we demonstrate that the proposed JIRPB optimization algorithm improves the LEO satellite communication system throughput.
基金supported by the Natural Science Foundation of Heilongjiang Province(Grant Number:LH2021F002).
文摘With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment operation.The analysis of such data is pivotal for ensuring production safety,a critical factor in monitoring the health status of manufacturing apparatus.Conventional defect detection techniques,typically limited to specific scenarios,often require manual feature extraction,leading to inefficiencies and limited versatility in the overall process.Our research presents an intelligent defect detection methodology that leverages deep learning techniques to automate feature extraction and defect localization processes.Our proposed approach encompasses a suite of components:the high-level feature learning block(HLFLB),the multi-scale feature learning block(MSFLB),and a dynamic adaptive fusion block(DAFB),working in tandem to extract meticulously and synergistically aggregate defect-related characteristics across various scales and hierarchical levels.We have conducted validation of the proposed method using datasets derived from gearbox and bearing assessments.The empirical outcomes underscore the superior defect detection capability of our approach.It demonstrates consistently high performance across diverse datasets and possesses the accuracy required to categorize defects,taking into account their specific locations and the extent of damage,proving the method’s effectiveness and reliability in identifying defects in industrial components.
文摘Background: The rate of accidental dural puncture is particularly high during the period of training, especially in novices. The structured epidural teaching model (SETM) includes three standardized video lessons, the construction of a 3D epidural module by trainees and practical training by using an epidural simulator with and without the CompuFlo™ Epidural instrument. In this study we report the retrospective analysis of the accidental dural puncture rate of inexperienced trainees during their 6 months clinical practice rotation in obstetrics before and after the introduction of the SETM in our Institution. Method: We evaluated the incidence of accidental dural puncture before the introduction of the SETM methodology and afterwards by analyzing our departmental database from February 2019 to January 2023. All epidural blocks were executed by trainees who had never previously performed an epidural block and were about to begin their obstetrics rotation. Results: We analyzed 7415 epidurals: 3703 were performed before the introduction of the SETM methodology (control group) and 3712 afterwards (study group). The incidence of accidental dural puncture was 0.37% for the control group and 0.13% for the study group (p<.05). The probability of making an accidental dural puncture was 64% (OR: 0.36) lower for trainees who had the training than for those who did not. Conclusions: After the introduction of the structured teaching method, we observed a significant reduction of accidental dural puncture during the training period. We hope that our observation will encourage a constructive discussion among experts about the need to use standardized and validated tools as a valuable aid in teaching epidural anesthesia.
基金supported by the National Key R&D Program of China under Grant 2021YFB1407001the National Natural Science Foundation of China (NSFC) under Grants 62001269 and 61960206006+2 种基金the State Key Laboratory of Rail Traffic Control and Safety (under Grants RCS2022K009)Beijing Jiaotong University, the Future Plan Program for Young Scholars of Shandong Universitythe EU H2020 RISE TESTBED2 project under Grant 872172
文摘A large amount of mobile data from growing high-speed train(HST)users makes intelligent HST communications enter the era of big data.The corresponding artificial intelligence(AI)based HST channel modeling becomes a trend.This paper provides AI based channel characteristic prediction and scenario classification model for millimeter wave(mmWave)HST communications.Firstly,the ray tracing method verified by measurement data is applied to reconstruct four representative HST scenarios.By setting the positions of transmitter(Tx),receiver(Rx),and other parameters,the multi-scenarios wireless channel big data is acquired.Then,based on the obtained channel database,radial basis function neural network(RBF-NN)and back propagation neural network(BP-NN)are trained for channel characteristic prediction and scenario classification.Finally,the channel characteristic prediction and scenario classification capabilities of the network are evaluated by calculating the root mean square error(RMSE).The results show that RBF-NN can generally achieve better performance than BP-NN,and is more applicable to prediction of HST scenarios.
文摘In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application prospect.Firstly,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is constructed.In order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried out.The simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight simulation.Secondly,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy respectively.The intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight parameters.Compared with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability error.The intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.
基金the National Natural Science Foundation of China(Grant No.52072041)the Beijing Natural Science Foundation(Grant No.JQ21007)+2 种基金the University of Chinese Academy of Sciences(Grant No.Y8540XX2D2)the Robotics Rhino-Bird Focused Research Project(No.2020-01-002)the Tencent Robotics X Laboratory.
文摘Humans can perceive our complex world through multi-sensory fusion.Under limited visual conditions,people can sense a variety of tactile signals to identify objects accurately and rapidly.However,replicating this unique capability in robots remains a significant challenge.Here,we present a new form of ultralight multifunctional tactile nano-layered carbon aerogel sensor that provides pressure,temperature,material recognition and 3D location capabilities,which is combined with multimodal supervised learning algorithms for object recognition.The sensor exhibits human-like pressure(0.04–100 kPa)and temperature(21.5–66.2℃)detection,millisecond response times(11 ms),a pressure sensitivity of 92.22 kPa^(−1)and triboelectric durability of over 6000 cycles.The devised algorithm has universality and can accommodate a range of application scenarios.The tactile system can identify common foods in a kitchen scene with 94.63%accuracy and explore the topographic and geomorphic features of a Mars scene with 100%accuracy.This sensing approach empowers robots with versatile tactile perception to advance future society toward heightened sensing,recognition and intelligence.
文摘The rapid development of artificial intelligence(AI)technology has brought new opportunities and challenges to the field of education.As an important link in cultivating students’comprehensive quality and socialist core values,it is necessary to carry out continuous teaching reform and innovation in ideological and political courses in colleges and universities.Based on the concept of AI empowering the teaching reform of ideological and political courses,this study aims to explore how to use artificial intelligence technology to improve the teaching effect and learning experience of ideological and political courses.The research first analyzes the application status of artificial intelligence technology in education,and then discusses the application potential of artificial intelligence in ideological and political courses.Subsequently,the teaching reform strategy of ideological and political courses based on artificial intelligence is proposed,including the use of virtual reality technology,the application of intelligent auxiliary teaching tools to enhance personalized teaching,and the construction of an intelligent learning management system.Lastly,a case analysis is conducted to explore the implementation effect of the teaching reform of ideological and political courses in universities.The results showed that the application of artificial intelligence technology can effectively improve the teaching effect and learning experience of ideological and political courses,and provide new ideas and methods for the teaching reform of ideological and political courses in universities.
基金Supported by Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties(No.SZGSP014)Sanming Project of Medicine in Shenzhen(No.SZSM202011015)Shenzhen Science and Technology Planning Project(No.KCXFZ20211020163813019).
文摘AIM:To develop an artificial intelligence(AI)diagnosis model based on deep learning(DL)algorithm to diagnose different types of retinal vein occlusion(RVO)by recognizing color fundus photographs(CFPs).METHODS:Totally 914 CFPs of healthy people and patients with RVO were collected as experimental data sets,and used to train,verify and test the diagnostic model of RVO.All the images were divided into four categories[normal,central retinal vein occlusion(CRVO),branch retinal vein occlusion(BRVO),and macular retinal vein occlusion(MRVO)]by three fundus disease experts.Swin Transformer was used to build the RVO diagnosis model,and different types of RVO diagnosis experiments were conducted.The model’s performance was compared to that of the experts.RESULTS:The accuracy of the model in the diagnosis of normal,CRVO,BRVO,and MRVO reached 1.000,0.978,0.957,and 0.978;the specificity reached 1.000,0.986,0.982,and 0.976;the sensitivity reached 1.000,0.955,0.917,and 1.000;the F1-Sore reached 1.000,0.9550.943,and 0.887 respectively.In addition,the area under curve of normal,CRVO,BRVO,and MRVO diagnosed by the diagnostic model were 1.000,0.900,0.959 and 0.970,respectively.The diagnostic results were highly consistent with those of fundus disease experts,and the diagnostic performance was superior.CONCLUSION:The diagnostic model developed in this study can well diagnose different types of RVO,effectively relieve the work pressure of clinicians,and provide help for the follow-up clinical diagnosis and treatment of RVO patients.
文摘Based on the current situation of academic English teaching, this paper discusses “student-centered” teaching strategy in the Academic English Reading and Writing, and explore how to integrate it in classroom activities.
