Accelerating urbanization and the rapid development of intelligent transportation systems have rendered shortterm traffic flow prediction an important research field.Accurate prediction of traffic flow is beneficial f...Accelerating urbanization and the rapid development of intelligent transportation systems have rendered shortterm traffic flow prediction an important research field.Accurate prediction of traffic flow is beneficial for the optimization of traffic planning,improvement of road utilization,reduction of traffic congestion,and reduction in the incidence of traffic accidents.However,data pertaining to traffic flow are typically influenced by a multitude of factors,resulting in data that exhibit a considerable degree of nonlinearity and complexity.To address the issue of noise in raw traffic flow data,this study proposes a hybrid model that combines variational mode decomposition(VMD),a bidirectional long short-term memory network(BiLSTM),and a gated recurrent unit(GRU)for short-term traffic flow prediction.To validate the effectiveness of the model,an experimental validation was conducted based on traffic flow data from UK highways,and the performance of the model was compared with common benchmark models.The experimental results demonstrate that the proposed method yields superior prediction results in terms of mean absolute error,coefficient of determination,and root-mean-square error compared to existing prediction techniques,thereby substantiating its efficacy in short-term traffic flow prediction.展开更多
Based on the overall understanding of new cities developing based on resources,by taking Yulin City of Shaanxi Province for example and combining with relevant statistical data,main problems existing in resources deve...Based on the overall understanding of new cities developing based on resources,by taking Yulin City of Shaanxi Province for example and combining with relevant statistical data,main problems existing in resources development have been pointed out,covering simple resources industrial structure and serious wastes in resources development;insufficient intensive processing of products and low level of resources integrated utilization;and deteriorative regional eco-environment.On this basis,a new mode of landscape ecology of resource-based cities have been proposed,emphasizing constructing new green energy industrial development mode from the perspective of microscopic view;ecological industrial park of circular economy from the perspective of mesoscopic view;and the overall ecological recovery mode of the mining area from the perspective of macroscopic view.It hopes to give a vital inspiration to the sustainable development of new resources-based cities.展开更多
In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning...In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning approaches.On the online teaching platform,students mainly learn knowledge-based content by self-directed learning,while practising their language skills by cooperative learning in flipped classroom activities.On one hand,it advocates student-centered strategy so as to improve students autonomous learning ability;on the other hand,teachers serve as a guide to organize the classroom activities;meanwhile,they give timely feedback to students in order to promote students’learning ability.In blended teaching model,this mutually compatible and reinforcing model of self-directed learning and cooperative learning is undoubtedly helpful to improve the teaching efficiency.展开更多
During the last decades the whispering gallery mode based sensors have become a prominent solution for label-free sensing of various physical and chemical parameters.At the same time,the widespread utilization of the ...During the last decades the whispering gallery mode based sensors have become a prominent solution for label-free sensing of various physical and chemical parameters.At the same time,the widespread utilization of the approach is hindered by the restricted applicability of the known configurations for ambient variations quantification outside the laboratory conditions and their low affordability,where necessity on the spectrally-resolved data collection is among the main limiting factors.In this paper we demonstrate the first realization of an affordable whispering gallery mode sensor powered by deep learning and multi-resonator imaging at a fixed frequency.It has been shown that the approach enables refractive index unit(RIU)prediction with an absolute error at 3×10^(-6) level for dynamic range of the RIU variations from 0 to 2×10^(-3) with temporal resolution of several milliseconds and instrument-driven detection limit of 3×10−5.High sensing accuracy together with instrumental affordability and production simplicity places the reported detector among the most cost-effective realizations of the whispering gallery mode approach.The proposed solution is expected to have a great impact on the shift of the whole sensing paradigm away from the model-based and to the flexible self-learning solutions.展开更多
The era of big data is coming,the combination of big data and traditional teaching can provide more and more accurate services for students'self-learning,and it is a good way to teach students according to their a...The era of big data is coming,the combination of big data and traditional teaching can provide more and more accurate services for students'self-learning,and it is a good way to teach students according to their aptitude.In this background,a learning society is coming,which aiming at learning,autonomous learning and lifelong learning.Learning society emphasize the ability of learning autonomy for students unprecedentedly.Learning is no longer limited to the campus.Learning ability will accompany learners'social life and become an active and healthy lifelong activity.Autonomous learning is a learning theory that goes with the requirements of The Times and has a broad development prospect.The study of Autonomous learning not only has a very important guiding significance for the educational and teaching practice in China,but also plays an important role in the life development of every student.The subject of learning is gradually transferred from the classroom,teachers and textbooks to the students themselves.Teachers should not only impart knowledge and answer questions,but also,most importantly,teach students how to exert their autonomy in autonomous learning.After investigating and researching the existing monitoring model of autonomous English learning in colleges and universities,our group found that in practice,there is a lack of corresponding monitoring mechanisms and means,and autonomous learning has gradually become formalized.Therefore,according to the actual situation of autonomous English learning in our country's universities,the monitoring model of autonomous English learning has been reconstructed,and an effective comprehensive evaluation system has been established to effectively improve students'English learning ability.展开更多
Power flow adjustment is a sequential decision problem.The operator makes decisions to ensure that the power flow meets the system's operational constraints,thereby obtaining a typical operating mode power flow.Ho...Power flow adjustment is a sequential decision problem.The operator makes decisions to ensure that the power flow meets the system's operational constraints,thereby obtaining a typical operating mode power flow.However,this decision-making method relies heavily on human experience,which is inefficient when the system is complex.In addition,the results given by the current evaluation system are difficult to directly guide the intelligent power flow adjustment.In order to improve the efficiency and intelligence of power flow adjustment,this paper proposes a power flow adjustment method based on deep reinforcement learning.Combining deep reinforcement learning theory with traditional power system operation mode analysis,the concept of region mapping is proposed to describe the adjustment process,so as to analyze the process of power flow calculation and manual adjustment.Considering the characteristics of power flow adjustment,a Markov decision process model suitable for power flow adjustment is constructed.On this basis,a double Q network learning method suitable for power flow adjustment is proposed.This method can adjust the power flow according to the set adjustment route,thus improving the intelligent level of power flow adjustment.The method in this paper is tested on China Electric Power Research Institute(CEPRI)test system.展开更多
Due to the outbreak of the Covid-19 in 2020,online education has become the mainstream.After the epidemic,the blending learning mode has also become a key goal of the teaching reform of colleges and universities,and t...Due to the outbreak of the Covid-19 in 2020,online education has become the mainstream.After the epidemic,the blending learning mode has also become a key goal of the teaching reform of colleges and universities,and the blending learning mode of various courses has blossomed everywhere.In this context,this paper used the Econometrics course as the carrier,analyzed the many unreasonable problems in the traditional Econometrics course,and proposed an optimization plan and path for the blending learning mode to address these problems.展开更多
In order to provide channels of human resource management in promoting organizational learning,structural equation models were used for identifying the differences in the coupling dimensions between human resource arc...In order to provide channels of human resource management in promoting organizational learning,structural equation models were used for identifying the differences in the coupling dimensions between human resource archetypes and organizational learning modes based on sample data of 219 manufacturing firms with more than 100 employees.It is found that the coupling of the cooperative human resource archetype and exploitative learning is reflected in the mechanistic structure dimension;the coupling of the cooperative human resource archetype and exploratory learning is reflected in the two dimensions of the mechanistic structure and specialist cognition;the coupling of the entrepreneurial human resource archetype and exploitative learning is reflected in the two dimensions of generalist cognition and cognitive trust;the coupling of the entrepreneurial human resource archetype and exploratory learning is reflected in the dimension of generalist cognition.When manufacturing firms pursue exploitative learning,it is suggested that they pay attention to the structure dimension management of the collaborative human resource archetype and the cognition and affect dimensions management of the entrepreneurial human resource archetype.When manufacturing firms pursue exploratory learning,it is suggested pay attention to the structure and cognition dimensions management of the collaborative human resource archetype and the cognition dimension management of the entrepreneurial human resource archetype.展开更多
Under the premise of building an innovative country and cultivating innovative talents,teaching innovative learning,cultivating students’innovative thinking and improving the teaching mode and curriculum form have al...Under the premise of building an innovative country and cultivating innovative talents,teaching innovative learning,cultivating students’innovative thinking and improving the teaching mode and curriculum form have already become one of the main directions of deepening the reform of higher education.Data Structure is essential part in the undergraduate program.It is crucial for student to carry out research and project.In the actual teaching activities,the problems of content updating,practice ability for research projects of data structures are to be improved.Therefore,the course reform is imperative.This paper analyzed the main problems of the current data structures course,explored the solution of the problems,and proposed a new mixed teaching mode and evaluation method.展开更多
In this paper, we conduct research on the novel English education mode based on feedback learning and interactive teaching method. Business English, which is based on general English, from the angle of English languag...In this paper, we conduct research on the novel English education mode based on feedback learning and interactive teaching method. Business English, which is based on general English, from the angle of English language features of text represents connotation of business English vocabulary expressed more, word ambiguity phenomenon is relatively common, meaning and pragmatic choice depends on the context. Our research starts from the analysis of the novel education pattern with the feedback learning and interactive teaching integration. Our education mode will let the students and the teachers interact with others and encourage the better participation passion that is meaningful.展开更多
Mobile cloud learning and innovation and entrepreneurship education are undoubtedly one of the hot issues in the current development of human resources and education. At present, domestic colleges and universities sti...Mobile cloud learning and innovation and entrepreneurship education are undoubtedly one of the hot issues in the current development of human resources and education. At present, domestic colleges and universities still lack the industrialization model and platform that apply theory to practice areas, and apply the new mobile cloud learning technology to the research and practice of innovation and entrepreneurship training.展开更多
As a platform bridging classroom teaching and online teaching for higher vocational college(HVC)English,WeChat expands the dimension of HVC English teaching.This paper first introduces basic functions and characterist...As a platform bridging classroom teaching and online teaching for higher vocational college(HVC)English,WeChat expands the dimension of HVC English teaching.This paper first introduces basic functions and characteristics of WeChat,then analyzes problems existing in current HVC English teaching and finally puts forward specific ways to design HVC English blended learning mode based on WeChat platform in four steps:warming-up,text analysis,exercises and post-course expansion.展开更多
With the deepening of exchanges between China and other countries,especially the proposal of the Belt and Road Initiative,more and more foreign students come to China to study,putting forward higher requirements for t...With the deepening of exchanges between China and other countries,especially the proposal of the Belt and Road Initiative,more and more foreign students come to China to study,putting forward higher requirements for the education and management of colleges and universities in China.In the process of implementing the strategy of"one belt and one road",language interaction is the basic prerequisite for achieving exchanges and cooperation among different countries.In the face of this situation,by analyzing the existing problems in the training of overseas students in higher vocational colleges in China under the background of"One Belt and One Road"strategy,in this paper,the construction of the Chinese learning mode for overseas students in higher vocational colleges was put forward,hoping to provide help for the training of overseas students and solve the problem of foreign students'language learning.展开更多
With the great changes in China's economic mechanism, the present running modes of equipment management at most institutions of higher learning are becoming less and less effective and efficient. Being fully aware...With the great changes in China's economic mechanism, the present running modes of equipment management at most institutions of higher learning are becoming less and less effective and efficient. Being fully aware of the common problems and their characteristics, this paper proposes a new running mode which aims at these problems' permanent resolution. It involves (1) Systems such as renting, competition and paid services are to be introduced to the campus, in order to effectively associate duty with interest. (2) The present managerial pattern is to be replaced by a new running network, in which all the links cooperate with as well as restrain each other. Such a mode focuses on the “two mechanisms and four patterns,”that is, to rely on the stimulative mechanism and restraint mechanism, and to enforce such patterns as centralized management and application centralized management and common application, opening to public use, and renting and borrowing. Through persistent exploration of the inner potential of the institutions, the ratio of investment and economic efficiency will accordingly be elevated.展开更多
In this paper, we explore the classification of vibration modes generated by handwriting on an optical desk using deep learning architectures. Three deep learning models—Long Short-Term Memory (LSTM) networks with at...In this paper, we explore the classification of vibration modes generated by handwriting on an optical desk using deep learning architectures. Three deep learning models—Long Short-Term Memory (LSTM) networks with attention mechanism, Video Vision Transformer (ViViT), and Long-term Recurrent Convolutional Network (LRCN)—were evaluated to determine the most effective method for analyzing time series patterns generated by a Michelson interferometer. The interferometer was used to detect vibration modes created by handwriting, capturing time-series data from the diffraction patterns. Among these models, the LSTM-Attention network achieved the highest validation accuracy, reaching up to 92%, outperforming both ViViT and LRCN. These findings highlight the potential of deep learning in material science for detecting and classifying vibration patterns. The powerful performance of the LSTM-Attention model suggests that it could be applied to similar classification tasks in related fields.展开更多
Objective: to discuss the application of mobile learning mode based on Internet in scientific probation. Methods: a total of 50 patients with 5-year clinical medicine major who were enrolled in the department of Cardi...Objective: to discuss the application of mobile learning mode based on Internet in scientific probation. Methods: a total of 50 patients with 5-year clinical medicine major who were enrolled in the department of Cardiovascular Medicine of our hospital from June 2017 to June 2018 were selected as the subjects of this study and randomly divided into 2 groups, namely the routine group and the study group, with 25 cases in each group. The normal group used the normal learning mode, while the study group used the mobile learning mode of the Internet. The two groups of students were observed and compared in terms of learning efficiency, academic performance and satisfaction rate of the two learning modes. Results: the scores of theoretical knowledge and practical skills in the study group were higher than those in the conventional group, and the differences were statistically significant (P < 0.05). The students in the study group are more satisfied with the mobile learning mode of Internet. According to various surveys, it can improve their learning efficiency, increase their independent ability of self-learning, meet their self-learning needs, enhance their understanding of the theoretical knowledge of cardiovascular medicine, mobilize their learning enthusiasm and expand their knowledge. Conclusion: compared with the conventional learning mode, the mobile learning mode based on the Internet is more efficient and can arouse students' enthusiasm for learning and academic performance, suggesting further clinical promotion.展开更多
With the development of the times, the contradiction between the traditional distance learning and the personalized learning needs of adult students is becoming increasingly serious. The flexible and convenient mobile...With the development of the times, the contradiction between the traditional distance learning and the personalized learning needs of adult students is becoming increasingly serious. The flexible and convenient mobile learning conforms to the characteristics of adult students, which has attracted the attention of adult educators. In view of the fact that there are more theoretical studies and less empirical studies, this study, based on the open mode, adopts the experimental method to conduct an empirical study on mobile learning of Public English course in Open University of China for two years. The results show that the test marks of mobile learning teaching class are significantly better than those of conventional teaching class. This study expands the sample level of mobile learning, and provides an empirical basis for mobile learning research in adult education.展开更多
In the Networking age,the monitoring from teachers and classmates over one's English autonomous learning is weakened.The relevance among learning resources can't be measured,and the learning efficiency can'...In the Networking age,the monitoring from teachers and classmates over one's English autonomous learning is weakened.The relevance among learning resources can't be measured,and the learning efficiency can't be ensured,either.In order to solve the problems,a monitoring mode over English autonomous learning process is constructed,which involves the application of the internal and external monitoring strategies.展开更多
基金supported by the Enterprise Innovation Consortium Project under the Major Special Science and Technology Project of Gansu Province(Grant No.22ZD6GA010).
文摘Accelerating urbanization and the rapid development of intelligent transportation systems have rendered shortterm traffic flow prediction an important research field.Accurate prediction of traffic flow is beneficial for the optimization of traffic planning,improvement of road utilization,reduction of traffic congestion,and reduction in the incidence of traffic accidents.However,data pertaining to traffic flow are typically influenced by a multitude of factors,resulting in data that exhibit a considerable degree of nonlinearity and complexity.To address the issue of noise in raw traffic flow data,this study proposes a hybrid model that combines variational mode decomposition(VMD),a bidirectional long short-term memory network(BiLSTM),and a gated recurrent unit(GRU)for short-term traffic flow prediction.To validate the effectiveness of the model,an experimental validation was conducted based on traffic flow data from UK highways,and the performance of the model was compared with common benchmark models.The experimental results demonstrate that the proposed method yields superior prediction results in terms of mean absolute error,coefficient of determination,and root-mean-square error compared to existing prediction techniques,thereby substantiating its efficacy in short-term traffic flow prediction.
文摘Based on the overall understanding of new cities developing based on resources,by taking Yulin City of Shaanxi Province for example and combining with relevant statistical data,main problems existing in resources development have been pointed out,covering simple resources industrial structure and serious wastes in resources development;insufficient intensive processing of products and low level of resources integrated utilization;and deteriorative regional eco-environment.On this basis,a new mode of landscape ecology of resource-based cities have been proposed,emphasizing constructing new green energy industrial development mode from the perspective of microscopic view;ecological industrial park of circular economy from the perspective of mesoscopic view;and the overall ecological recovery mode of the mining area from the perspective of macroscopic view.It hopes to give a vital inspiration to the sustainable development of new resources-based cities.
文摘In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning approaches.On the online teaching platform,students mainly learn knowledge-based content by self-directed learning,while practising their language skills by cooperative learning in flipped classroom activities.On one hand,it advocates student-centered strategy so as to improve students autonomous learning ability;on the other hand,teachers serve as a guide to organize the classroom activities;meanwhile,they give timely feedback to students in order to promote students’learning ability.In blended teaching model,this mutually compatible and reinforcing model of self-directed learning and cooperative learning is undoubtedly helpful to improve the teaching efficiency.
文摘During the last decades the whispering gallery mode based sensors have become a prominent solution for label-free sensing of various physical and chemical parameters.At the same time,the widespread utilization of the approach is hindered by the restricted applicability of the known configurations for ambient variations quantification outside the laboratory conditions and their low affordability,where necessity on the spectrally-resolved data collection is among the main limiting factors.In this paper we demonstrate the first realization of an affordable whispering gallery mode sensor powered by deep learning and multi-resonator imaging at a fixed frequency.It has been shown that the approach enables refractive index unit(RIU)prediction with an absolute error at 3×10^(-6) level for dynamic range of the RIU variations from 0 to 2×10^(-3) with temporal resolution of several milliseconds and instrument-driven detection limit of 3×10−5.High sensing accuracy together with instrumental affordability and production simplicity places the reported detector among the most cost-effective realizations of the whispering gallery mode approach.The proposed solution is expected to have a great impact on the shift of the whole sensing paradigm away from the model-based and to the flexible self-learning solutions.
文摘The era of big data is coming,the combination of big data and traditional teaching can provide more and more accurate services for students'self-learning,and it is a good way to teach students according to their aptitude.In this background,a learning society is coming,which aiming at learning,autonomous learning and lifelong learning.Learning society emphasize the ability of learning autonomy for students unprecedentedly.Learning is no longer limited to the campus.Learning ability will accompany learners'social life and become an active and healthy lifelong activity.Autonomous learning is a learning theory that goes with the requirements of The Times and has a broad development prospect.The study of Autonomous learning not only has a very important guiding significance for the educational and teaching practice in China,but also plays an important role in the life development of every student.The subject of learning is gradually transferred from the classroom,teachers and textbooks to the students themselves.Teachers should not only impart knowledge and answer questions,but also,most importantly,teach students how to exert their autonomy in autonomous learning.After investigating and researching the existing monitoring model of autonomous English learning in colleges and universities,our group found that in practice,there is a lack of corresponding monitoring mechanisms and means,and autonomous learning has gradually become formalized.Therefore,according to the actual situation of autonomous English learning in our country's universities,the monitoring model of autonomous English learning has been reconstructed,and an effective comprehensive evaluation system has been established to effectively improve students'English learning ability.
文摘Power flow adjustment is a sequential decision problem.The operator makes decisions to ensure that the power flow meets the system's operational constraints,thereby obtaining a typical operating mode power flow.However,this decision-making method relies heavily on human experience,which is inefficient when the system is complex.In addition,the results given by the current evaluation system are difficult to directly guide the intelligent power flow adjustment.In order to improve the efficiency and intelligence of power flow adjustment,this paper proposes a power flow adjustment method based on deep reinforcement learning.Combining deep reinforcement learning theory with traditional power system operation mode analysis,the concept of region mapping is proposed to describe the adjustment process,so as to analyze the process of power flow calculation and manual adjustment.Considering the characteristics of power flow adjustment,a Markov decision process model suitable for power flow adjustment is constructed.On this basis,a double Q network learning method suitable for power flow adjustment is proposed.This method can adjust the power flow according to the set adjustment route,thus improving the intelligent level of power flow adjustment.The method in this paper is tested on China Electric Power Research Institute(CEPRI)test system.
基金The 2019 Ministry of Education industry-university cooperation collaborative education project"Research on the Construction of Economics and Management Professional Data Analysis Laboratory"(Project number:201902077020).
文摘Due to the outbreak of the Covid-19 in 2020,online education has become the mainstream.After the epidemic,the blending learning mode has also become a key goal of the teaching reform of colleges and universities,and the blending learning mode of various courses has blossomed everywhere.In this context,this paper used the Econometrics course as the carrier,analyzed the many unreasonable problems in the traditional Econometrics course,and proposed an optimization plan and path for the blending learning mode to address these problems.
基金The National Natural Science Foundation of China(No.71764015).
文摘In order to provide channels of human resource management in promoting organizational learning,structural equation models were used for identifying the differences in the coupling dimensions between human resource archetypes and organizational learning modes based on sample data of 219 manufacturing firms with more than 100 employees.It is found that the coupling of the cooperative human resource archetype and exploitative learning is reflected in the mechanistic structure dimension;the coupling of the cooperative human resource archetype and exploratory learning is reflected in the two dimensions of the mechanistic structure and specialist cognition;the coupling of the entrepreneurial human resource archetype and exploitative learning is reflected in the two dimensions of generalist cognition and cognitive trust;the coupling of the entrepreneurial human resource archetype and exploratory learning is reflected in the dimension of generalist cognition.When manufacturing firms pursue exploitative learning,it is suggested that they pay attention to the structure dimension management of the collaborative human resource archetype and the cognition and affect dimensions management of the entrepreneurial human resource archetype.When manufacturing firms pursue exploratory learning,it is suggested pay attention to the structure and cognition dimensions management of the collaborative human resource archetype and the cognition dimension management of the entrepreneurial human resource archetype.
文摘Under the premise of building an innovative country and cultivating innovative talents,teaching innovative learning,cultivating students’innovative thinking and improving the teaching mode and curriculum form have already become one of the main directions of deepening the reform of higher education.Data Structure is essential part in the undergraduate program.It is crucial for student to carry out research and project.In the actual teaching activities,the problems of content updating,practice ability for research projects of data structures are to be improved.Therefore,the course reform is imperative.This paper analyzed the main problems of the current data structures course,explored the solution of the problems,and proposed a new mixed teaching mode and evaluation method.
文摘In this paper, we conduct research on the novel English education mode based on feedback learning and interactive teaching method. Business English, which is based on general English, from the angle of English language features of text represents connotation of business English vocabulary expressed more, word ambiguity phenomenon is relatively common, meaning and pragmatic choice depends on the context. Our research starts from the analysis of the novel education pattern with the feedback learning and interactive teaching integration. Our education mode will let the students and the teachers interact with others and encourage the better participation passion that is meaningful.
文摘Mobile cloud learning and innovation and entrepreneurship education are undoubtedly one of the hot issues in the current development of human resources and education. At present, domestic colleges and universities still lack the industrialization model and platform that apply theory to practice areas, and apply the new mobile cloud learning technology to the research and practice of innovation and entrepreneurship training.
文摘As a platform bridging classroom teaching and online teaching for higher vocational college(HVC)English,WeChat expands the dimension of HVC English teaching.This paper first introduces basic functions and characteristics of WeChat,then analyzes problems existing in current HVC English teaching and finally puts forward specific ways to design HVC English blended learning mode based on WeChat platform in four steps:warming-up,text analysis,exercises and post-course expansion.
文摘With the deepening of exchanges between China and other countries,especially the proposal of the Belt and Road Initiative,more and more foreign students come to China to study,putting forward higher requirements for the education and management of colleges and universities in China.In the process of implementing the strategy of"one belt and one road",language interaction is the basic prerequisite for achieving exchanges and cooperation among different countries.In the face of this situation,by analyzing the existing problems in the training of overseas students in higher vocational colleges in China under the background of"One Belt and One Road"strategy,in this paper,the construction of the Chinese learning mode for overseas students in higher vocational colleges was put forward,hoping to provide help for the training of overseas students and solve the problem of foreign students'language learning.
文摘With the great changes in China's economic mechanism, the present running modes of equipment management at most institutions of higher learning are becoming less and less effective and efficient. Being fully aware of the common problems and their characteristics, this paper proposes a new running mode which aims at these problems' permanent resolution. It involves (1) Systems such as renting, competition and paid services are to be introduced to the campus, in order to effectively associate duty with interest. (2) The present managerial pattern is to be replaced by a new running network, in which all the links cooperate with as well as restrain each other. Such a mode focuses on the “two mechanisms and four patterns,”that is, to rely on the stimulative mechanism and restraint mechanism, and to enforce such patterns as centralized management and application centralized management and common application, opening to public use, and renting and borrowing. Through persistent exploration of the inner potential of the institutions, the ratio of investment and economic efficiency will accordingly be elevated.
文摘In this paper, we explore the classification of vibration modes generated by handwriting on an optical desk using deep learning architectures. Three deep learning models—Long Short-Term Memory (LSTM) networks with attention mechanism, Video Vision Transformer (ViViT), and Long-term Recurrent Convolutional Network (LRCN)—were evaluated to determine the most effective method for analyzing time series patterns generated by a Michelson interferometer. The interferometer was used to detect vibration modes created by handwriting, capturing time-series data from the diffraction patterns. Among these models, the LSTM-Attention network achieved the highest validation accuracy, reaching up to 92%, outperforming both ViViT and LRCN. These findings highlight the potential of deep learning in material science for detecting and classifying vibration patterns. The powerful performance of the LSTM-Attention model suggests that it could be applied to similar classification tasks in related fields.
文摘Objective: to discuss the application of mobile learning mode based on Internet in scientific probation. Methods: a total of 50 patients with 5-year clinical medicine major who were enrolled in the department of Cardiovascular Medicine of our hospital from June 2017 to June 2018 were selected as the subjects of this study and randomly divided into 2 groups, namely the routine group and the study group, with 25 cases in each group. The normal group used the normal learning mode, while the study group used the mobile learning mode of the Internet. The two groups of students were observed and compared in terms of learning efficiency, academic performance and satisfaction rate of the two learning modes. Results: the scores of theoretical knowledge and practical skills in the study group were higher than those in the conventional group, and the differences were statistically significant (P < 0.05). The students in the study group are more satisfied with the mobile learning mode of Internet. According to various surveys, it can improve their learning efficiency, increase their independent ability of self-learning, meet their self-learning needs, enhance their understanding of the theoretical knowledge of cardiovascular medicine, mobilize their learning enthusiasm and expand their knowledge. Conclusion: compared with the conventional learning mode, the mobile learning mode based on the Internet is more efficient and can arouse students' enthusiasm for learning and academic performance, suggesting further clinical promotion.
文摘With the development of the times, the contradiction between the traditional distance learning and the personalized learning needs of adult students is becoming increasingly serious. The flexible and convenient mobile learning conforms to the characteristics of adult students, which has attracted the attention of adult educators. In view of the fact that there are more theoretical studies and less empirical studies, this study, based on the open mode, adopts the experimental method to conduct an empirical study on mobile learning of Public English course in Open University of China for two years. The results show that the test marks of mobile learning teaching class are significantly better than those of conventional teaching class. This study expands the sample level of mobile learning, and provides an empirical basis for mobile learning research in adult education.
文摘In the Networking age,the monitoring from teachers and classmates over one's English autonomous learning is weakened.The relevance among learning resources can't be measured,and the learning efficiency can't be ensured,either.In order to solve the problems,a monitoring mode over English autonomous learning process is constructed,which involves the application of the internal and external monitoring strategies.
