As the most critical part of post-graduate education,the Chinese government launched Standard Resident Training in 2013 to solve the regional inequality of medical quality and meet the increasing social requirement fo...As the most critical part of post-graduate education,the Chinese government launched Standard Resident Training in 2013 to solve the regional inequality of medical quality and meet the increasing social requirement for better medical service.We integrated problem-based learning(PBL)and case-based learning(CBL)in the Endodontics Standard Resident Training.By evaluating with objective parameters including theoretical knowledge and clinical practice skill,and subjective parameters including questionnaire,it was found that PBL+CBL played a positive role in endodontic resident training with a significant difference(P<0.05).This combined training model is instructive for China’s resident training,and this result can provide a rudimentary reference to current postgraduate teaching reform.展开更多
High dropout rates in short-term job skills training programs hinder workforce development.This study applies machine learning to predict program completion while addressing class imbalance challenges.A dataset of6548...High dropout rates in short-term job skills training programs hinder workforce development.This study applies machine learning to predict program completion while addressing class imbalance challenges.A dataset of6548 records with 24 demographic,educational,program-specific,and employment-related features was analyzed.Data preprocessing involved cleaning,encoding categorical variables,and balancing the dataset using the Synthetic Minority Oversampling Technique(SMOTE),as only 15.9% of participants were dropouts.six machine learning models-Logistic Regression,Random Forest,SupportVector Machine,K-Nearest Neighbors,Naive Bayes,and XGBoost-were evaluated on both balanced and unbalanced datasets using an 80-20 train-test split.Performance was assessed using Accuracy,Precision,Recall,F1-score,and ROC-AUC.XGBoost achieved the highest performance on the balanced dataset,with an F1-score of 0.9200 and aROC-AUC of0.9684,followed by Random Forest.These findings highlight the potential of machine learning for early identification of dropout trainees,aiding in retention strategies for workforce training.The results support the integration of predictive analytics to optimize intervention efforts in short-term training programs.展开更多
Objective:To explore the application effect of group cooperative learning combined with flipped classroom in standardized training of emergency surgery resident physicians.Methods:95 resident physicians undergoing eme...Objective:To explore the application effect of group cooperative learning combined with flipped classroom in standardized training of emergency surgery resident physicians.Methods:95 resident physicians undergoing emergency surgery standardized training in our hospital were randomly divided into an experimental group(46,group cooperative learning+flipped classroom)and a control group(49,traditional teaching).The training period was 2 months.Results:The graduation assessment scores of the experimental group were higher than those of the control group(P<0.05).The improvement in critical thinking ability and self-learning ability was better than that of the control group(P<0.05).The response rate of“yes”to all items of course teaching satisfaction was significantly higher than that of the control group(P<0.05).The satisfaction scores for training teachers were higher than those of the control group(P<0.05).Conclusion:The teaching model of group cooperative learning combined with flipped classroom,through reconstructing the learning process and activating interactive participation,can significantly improve the clinical operation and theoretical foundation of emergency surgery standardized training students.It also cultivates core professional qualities such as critical thinking,self-learning,and team collaboration,providing a feasible paradigm for integrated medical education in this discipline.展开更多
Deep neural networks(DNNs)have achieved great success in many data processing applications.However,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices...Deep neural networks(DNNs)have achieved great success in many data processing applications.However,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices,and it is not environmental-friendly with much power cost.In this paper,we focus on low-rank optimization for efficient deep learning techniques.In the space domain,DNNs are compressed by low rank approximation of the network parameters,which directly reduces the storage requirement with a smaller number of network parameters.In the time domain,the network parameters can be trained in a few subspaces,which enables efficient training for fast convergence.The model compression in the spatial domain is summarized into three categories as pre-train,pre-set,and compression-aware methods,respectively.With a series of integrable techniques discussed,such as sparse pruning,quantization,and entropy coding,we can ensemble them in an integration framework with lower computational complexity and storage.In addition to summary of recent technical advances,we have two findings for motivating future works.One is that the effective rank,derived from the Shannon entropy of the normalized singular values,outperforms other conventional sparse measures such as the?_1 norm for network compression.The other is a spatial and temporal balance for tensorized neural networks.For accelerating the training of tensorized neural networks,it is crucial to leverage redundancy for both model compression and subspace training.展开更多
In contemporary English teaching, the study of English learning strategies has become one of the main concerns in teachers＇ teaching and research processes. The necessity of implementation of learning strategies trai...In contemporary English teaching, the study of English learning strategies has become one of the main concerns in teachers＇ teaching and research processes. The necessity of implementation of learning strategies training in the field of English teaching practice still remains disputable. This essay first introduces the different reactions towards the field; then advances the idea of combining English teaching strategies with English learning strategies attempting the implementation of learning strategies training in the classroom teaching. Finally, some thinking produced in the process of practicing the strategies training is raised to reexamine this teaching mode.展开更多
As the ultimate goal of education, autonomy in language learning has aroused a lot of attention from scholars at home and abroad. While in universities of China, students do not have strong autonomy in English languag...As the ultimate goal of education, autonomy in language learning has aroused a lot of attention from scholars at home and abroad. While in universities of China, students do not have strong autonomy in English language learning. The author tries to adopt specific meta-cognitive strategies to facilitate students＇ autonomy in learning by improving learners＇ capacities in study planning or management, monitoring and evaluating in learning to raise their consciousness and ability in autonomy, and lay a foundation for life-long learning.展开更多
This paper mainly deals with the comprehensive knowledge system of learning strategy.Then it tries to probe the steps of strategy training and it's significance to English teaching.
The inherent teaching approach can no longer meet the demands of society.In this paper,current issues within the teaching landscape of architectural engineering technology in higher vocational colleges as well as the ...The inherent teaching approach can no longer meet the demands of society.In this paper,current issues within the teaching landscape of architectural engineering technology in higher vocational colleges as well as the policies and teaching demands that formed the basis of this model were analyzed.The study shows the importance of the implementation of the teaching model“promoting teaching and learning through competitions.”This model puts emphasis on the curriculum and teaching resources,while also integrating the teaching process and evaluation with competition.These efforts aim to drive education reform in order to better align with the objectives of vocational education personnel training,while also acting as a reference for similar courses.展开更多
In order to investigate the feasibility of serum creatine kinase （CK） and blood urea nitrogen （BUN） in monitoring pre-competition training of badminton athletes, the pre-competition training load of 20 badminton a...In order to investigate the feasibility of serum creatine kinase （CK） and blood urea nitrogen （BUN） in monitoring pre-competition training of badminton athletes, the pre-competition training load of 20 badminton athletes was studied, and serum CK and BUN were determined before, immediate and next morning after training. The results showed that after intensive training for one week, serum CK levels were significantly increased by 57.53 mmol/L （P〈0.05）. After regulation of the training intensity, average serum CK levels were increased by 21.79 mmol/L （P〈0.05）. BUN contents were increased by 0.83 mmol/L on average with the difference being not significant （P〉0.05）. After intermittent training, there was significant difference in the average increased levels of serum CK in athletes （P〈0.05）. There was significant difference before and after regulation of training （P〈0.05）. The increased levels of BUN were 0.78 mmol/L without significant difference （P〉0.05）. It was concluded that serum CK was one of the biochemical indicators monitoring the training load sensitivity of badminton athletes, but BUN was of little value in monitoring the training load. Both serum CK and BUN recovered slowly after one-week intensive training and intermittent training, suggesting the metabolic mechanism of human body in training needs further study.展开更多
The article examines the world experience of e-learning as well as distance education technologies within the education process organization on higher and post-higher education programs.There have been listed the resu...The article examines the world experience of e-learning as well as distance education technologies within the education process organization on higher and post-higher education programs.There have been listed the results of the most popular e-learning platforms analysis.Furthermore,there have been looked through the core legislative background of the development of the mentioned technologies in Russia and worldwide among the universities,specialized in seafarers training.There have been also drawn up the points of the Admiral Makarov State University of Maritime and Inland Shipping(Admiral Makarov SUMIS)design of the distance education system LMS"FARWATER"in compliance with the International Convention on Standards of Training,Certification and Watchkeeping for Seafarers(STCW Convention).The practical application of distance education system to the advanced professional training has been discussed in the article.展开更多
In recent years evidence has emerged suggesting that Mini-basketball training program(MBTP)can be an effec-tive intervention method to improve social communication(SC)impairments and restricted and repetitive beha-vio...In recent years evidence has emerged suggesting that Mini-basketball training program(MBTP)can be an effec-tive intervention method to improve social communication(SC)impairments and restricted and repetitive beha-viors(RRBs)in preschool children suffering from autism spectrum disorder(ASD).However,there is a considerable degree if interindividual variability concerning these social outcomes and thus not all preschool chil-dren with ASD profit from a MBTP intervention to the same extent.In order to make more accurate predictions which preschool children with ASD can benefit from an MBTP intervention or which preschool children with ASD need additional interventions to achieve behavioral improvements,further research is required.This study aimed to investigate which individual factors of preschool children with ASD can predict MBTP intervention out-comes concerning SC impairments and RRBs.Then,test the performance of machine learning models in predict-ing intervention outcomes based on these factors.Participants were 26 preschool children with ASD who enrolled in a quasi-experiment and received MBTP intervention.Baseline demographic variables(e.g.,age,body,mass index[BMI]),indicators of physicalfitness(e.g.,handgrip strength,balance performance),performance in execu-tive function,severity of ASD symptoms,level of SC impairments,and severity of RRBs were obtained to predict treatment outcomes after MBTP intervention.Machine learning models were established based on support vector machine algorithm were implemented.For comparison,we also employed multiple linear regression models in statistics.Ourfindings suggest that in preschool children with ASD symptomatic severity(r=0.712,p<0.001)and baseline SC impairments(r=0.713,p<0.001)are predictors for intervention outcomes of SC impair-ments.Furthermore,BMI(r=-0.430,p=0.028),symptomatic severity(r=0.656,p<0.001),baseline SC impair-ments(r=0.504,p=0.009)and baseline RRBs(r=0.647,p<0.001)can predict intervention outcomes of RRBs.Statistical models predicted 59.6%of variance in post-treatment SC impairments(MSE=0.455,RMSE=0.675,R2=0.596)and 58.9%of variance in post-treatment RRBs(MSE=0.464,RMSE=0.681,R2=0.589).Machine learning models predicted 83%of variance in post-treatment SC impairments(MSE=0.188,RMSE=0.434,R2=0.83)and 85.9%of variance in post-treatment RRBs(MSE=0.051,RMSE=0.226,R2=0.859),which were better than statistical models.Ourfindings suggest that baseline characteristics such as symptomatic severity of 144 IJMHP,2022,vol.24,no.2 ASD symptoms and SC impairments are important predictors determining MBTP intervention-induced improvements concerning SC impairments and RBBs.Furthermore,the current study revealed that machine learning models can successfully be applied to predict the MBTP intervention-related outcomes in preschool chil-dren with ASD,and performed better than statistical models.Ourfindings can help to inform which preschool children with ASD are most likely to benefit from an MBTP intervention,and they might provide a reference for the development of personalized intervention programs for preschool children with ASD.展开更多
Objective: To explore the application effect of flipped classroom combined with problem-based learning teaching method in clinical skills teaching of standardized training for resident doctors of traditional Chinese M...Objective: To explore the application effect of flipped classroom combined with problem-based learning teaching method in clinical skills teaching of standardized training for resident doctors of traditional Chinese Medicine. Methods: The study used the experimental control method. The study lasted from September to November 2022. The subjects of this study were 49 students of standardized training for resident doctors of traditional Chinese Medicine from grades 2020, 2021 and 2022 of Dazhou integrated TCM & Western Medicine Hospital. They were randomly divided into experiment group (25) and control group (24). The experiment group adopted flipped classroom combined with problem-based learning teaching method, and the control group adopted traditional teaching method. The teaching content was 4 basic clinical skill projects, including four diagnoses of traditional Chinese Medicine, cardiopulmonary resuscitation, dressing change procedure, acupuncture and massage. The evaluation method was carried out by comparing the students’ performance and a self-designed questionnaire was used to investigate the students’ evaluation of the teaching method. Results: The test scores of total scores in the experimental group (90.12 ± 5.89) were all higher than those in the control group (81.47 ± 7.96) (t = 4.53, P P Conclusions: The teaching process of the flipped classroom combined with problem-based learning teaching method is conducive to improving the efficiency of classroom teaching, cultivating students’ self-learning ability, and enhancing students’ willingness to learn.展开更多
Intrusion detection system plays an important role in defending networks from security breaches.End-to-end machine learning-based intrusion detection systems are being used to achieve high detection accuracy.However,i...Intrusion detection system plays an important role in defending networks from security breaches.End-to-end machine learning-based intrusion detection systems are being used to achieve high detection accuracy.However,in case of adversarial attacks,that cause misclassification by introducing imperceptible perturbation on input samples,performance of machine learning-based intrusion detection systems is greatly affected.Though such problems have widely been discussed in image processing domain,very few studies have investigated network intrusion detection systems and proposed corresponding defence.In this paper,we attempt to fill this gap by using adversarial attacks on standard intrusion detection datasets and then using adversarial samples to train various machine learning algorithms(adversarial training)to test their defence performance.This is achieved by first creating adversarial sample based on Jacobian-based Saliency Map Attack(JSMA)and Fast Gradient Sign Attack(FGSM)using NSLKDD,UNSW-NB15 and CICIDS17 datasets.The study then trains and tests JSMA and FGSM based adversarial examples in seen(where model has been trained on adversarial samples)and unseen(where model is unaware of adversarial packets)attacks.The experiments includes multiple machine learning classifiers to evaluate their performance against adversarial attacks.The performance parameters include Accuracy,F1-Score and Area under the receiver operating characteristic curve(AUC)Score.展开更多
Simulation-based mastery learning(SBML)is an emerging form of competencybased training that has been proposed as the next standard method for procedural task training,including that in gastr-ointestinal endoscopy.Curr...Simulation-based mastery learning(SBML)is an emerging form of competencybased training that has been proposed as the next standard method for procedural task training,including that in gastr-ointestinal endoscopy.Current basic gastrointestinal endoscopy training relies on the number of procedures performed,and it has been criticized for its lack of objective standards that result in variable skills among trainees and its association with patient safety risk.Thus,incorporating simulators into a competency-based curriculum seems ideal for gastrointestinal endoscopy training.The curriculum for SBML in gastrointestinal endoscopy is currently being developed and has promising potential to translate into the clinical performance.Unlike the present apprenticeship model of“see one,do one,teach one,”SBML integrates a competency-based curriculum with specific learning objectives alongside simulation-based training.This allows trainees to practice essential skills repeatedly,receive feedback from experts,and gradually develop their abilities to achieve mastery.Moreover,trainees and trainers need to understand the learning targets of the program so that trainees can focus their learning on the necessary skills and trainers can provide structured feedback based on the expected outcomes.In addition to learning targets,an assessment plan is essential to provide trainees with future directions for their improvement and ensure patient safety by issuing a passing standard.Finally,the SBML program should be planned and managed by a specific team and conducted within a developed and tested curriculum.This review discusses the current state of gastr-ointestinal endoscopy training and the role of SBML in that field.展开更多
It is becoming increasingly prevalent in digital learning research to encompass an array of different meanings,spaces,processes,and teaching strategies for discerning a global perspective on constructing the student l...It is becoming increasingly prevalent in digital learning research to encompass an array of different meanings,spaces,processes,and teaching strategies for discerning a global perspective on constructing the student learning experience.Multimodality is an emergent phenomenon that may influence how digital learning is designed,especially when employed in highly interactive and immersive learning environments such as Virtual Reality(VR).VR environments may aid students'efforts to be active learners through consciously attending to,and reflecting on,critique leveraging reflexivity and novel meaning-making most likely to lead to a conceptual change.This paper employs eleven industrial case-studies to highlight the application of multimodal VR-based teaching and training as a pedagogically rich strategy that may be designed,mapped and visualized through distinct VR-design elements and features.The outcomes of the use cases contribute to discern in-VR multimodal teaching as an emerging discourse that couples system design-based paradigms with embodied,situated and reflective praxis in spatial,emotional and temporal VR learning environments.展开更多
Objective： To study effects of behavior training on learning, memory and the expression of NR2B, GluR1 in hippocampus of rat＇ s offspring with fetal growth restriction（FGR）. Methods： The rat model of FGR was esta...Objective： To study effects of behavior training on learning, memory and the expression of NR2B, GluR1 in hippocampus of rat＇ s offspring with fetal growth restriction（FGR）. Methods： The rat model of FGR was established by passive smoking method. The rats offspring were divided into the FGR group and the control group, then randomly divided into the trained and untrained group, respectively. Morris water maze test was proceeded on postnatal month（PM2/4） as a behavior training method, then the learning-memory of rats was detected through dark-avoidance and step-down tests. The expressions of NR2B and GluR1 subunits in hippocampal CA1 and CA3 areas were detected by immunohistochemical method. Results： In the dark-avoidance and step-down tests, the performance record of rats with FGR was worse than that of control rats, and the behavior-trained rats was better than the untrained rats, when the FGR model and training factors were analyzed singly. The model factor and training factor had significant interaction（P 〈 0.05）. The expressions of NR2B and GluR1 subunits in hippocampal CA1 and CA3 areas of rats with FGR reduced. In contrast, the expressions of GluR1 and NR2B subunits in CA1 area of behavior-trained rats increased, when the FGR model and training factors were analyzed singly. Conclusion： These findings suggested that the effect of behavior training on the expressions of NR2B and GluR1 subunits in CA1 area should be the mechanistic basis for the training-induced improvement in learning-memory abilities.展开更多
Objective: This study aimed to determine variables associated (predictors and correlates) with the learning of assessment and supportive skills in the context of a communication skills training for medical residents. ...Objective: This study aimed to determine variables associated (predictors and correlates) with the learning of assessment and supportive skills in the context of a communication skills training for medical residents. Methods: Learning was measured by comparing residents’ communication skills in a simulated consultation before and after a communication skills training. Communication skills were transcribed and tagged with a computer-assisted program. Potential variables associated with learning (residents’ characteristics, contextual characteristics and pre-training communication skills) were measured before the training and entered in regression analysis. Results: Fifty-six residents followed the training between 2002 and 2006. Poor pre-training assessment and supportive skills predicted the respective learning of these skills. Better assessment skills’ learning was predicted by copings (i.e. lower level of emotional coping), lower levels of self-efficacy and depersonalization. Better supportive skills’ learning was predicted by a lower work experience and associated with a higher training attendance rate. Conclusions: Predictors and correlates of assessment and supportive skills learning were different. Trainers needed to detect certain residents’ characteristics (i.e. depersonalization) in order to optimize assessment skills learning. Trainers needed to be aware that supportive skills are difficult to learn and to teach and may need more training hours.展开更多
Objective: To investigate the effect of behavior training on the learning and memory of young rats with fetal growth restriction (FGR). Methods: The model of FGR was established by passive smoking method to pregnant r...Objective: To investigate the effect of behavior training on the learning and memory of young rats with fetal growth restriction (FGR). Methods: The model of FGR was established by passive smoking method to pregnant rats. The new-born rats were divided into FGR group and normal group, and then randomly subdivided into trained and untrained group respectively. Morris water maze behavior training was performed on postnatal months 2 and 4, then learning and memory abilities of young rats were measured by dark-avoidance testing and step-down testing. Results: In the dark-avoidance and step-down testing, the young rats’ performance of FGR group was worse than that of control group, and the trained group was better than the untrained group significantly. Conclusion: FGR young rats have descended learning and memory abilities. Behavior training could improve the young rats’ learning and memory abilities, especially for the FGR young rats.展开更多
Strategy training can help learner to become better and independent learners.The four models of language strategy training,namely Pearson and Dole’s model,Oxford et al.’s approach,Chamot and O’Malley’s framework,a...Strategy training can help learner to become better and independent learners.The four models of language strategy training,namely Pearson and Dole’s model,Oxford et al.’s approach,Chamot and O’Malley’s framework,and Cohen’strategies-based instruction(SBI)are discussed and found to have features in common.In the hope of enhancing Chinese adult learners’English learning and helping them become independent and autonomous,the three-stage model is proposed by the writer of the paper.With certain features adopted from the models designed by other researchers,the three-stage strategy training model is suitable to English learners of two-year undergraduate program in continuing education.展开更多
基金supported by the Teaching Reform Project of Stomatology College of Chongqing Medical University(KQJ202215,KQJ202204)the Teaching Reform Project of Chongqing Medical University(JY20220317).
文摘As the most critical part of post-graduate education,the Chinese government launched Standard Resident Training in 2013 to solve the regional inequality of medical quality and meet the increasing social requirement for better medical service.We integrated problem-based learning(PBL)and case-based learning(CBL)in the Endodontics Standard Resident Training.By evaluating with objective parameters including theoretical knowledge and clinical practice skill,and subjective parameters including questionnaire,it was found that PBL+CBL played a positive role in endodontic resident training with a significant difference(P<0.05).This combined training model is instructive for China’s resident training,and this result can provide a rudimentary reference to current postgraduate teaching reform.
文摘High dropout rates in short-term job skills training programs hinder workforce development.This study applies machine learning to predict program completion while addressing class imbalance challenges.A dataset of6548 records with 24 demographic,educational,program-specific,and employment-related features was analyzed.Data preprocessing involved cleaning,encoding categorical variables,and balancing the dataset using the Synthetic Minority Oversampling Technique(SMOTE),as only 15.9% of participants were dropouts.six machine learning models-Logistic Regression,Random Forest,SupportVector Machine,K-Nearest Neighbors,Naive Bayes,and XGBoost-were evaluated on both balanced and unbalanced datasets using an 80-20 train-test split.Performance was assessed using Accuracy,Precision,Recall,F1-score,and ROC-AUC.XGBoost achieved the highest performance on the balanced dataset,with an F1-score of 0.9200 and aROC-AUC of0.9684,followed by Random Forest.These findings highlight the potential of machine learning for early identification of dropout trainees,aiding in retention strategies for workforce training.The results support the integration of predictive analytics to optimize intervention efforts in short-term training programs.
基金Key Research and Development Program of Shaanxi Province,“Exploring the Changes and Mechanisms of Cerebral Microcirculation in Patients with Cerebral Small Vessel Disease and Mild Cognitive Impairment Based on OCTA Assessment”(Project No.:2023-YBSF-569)Shaanxi Provincial People’s Hospital Science and Technology Development Incubation Fund,“Early Identification of Cognitive Impairment in Cerebral Small Vessel Disease Based on Eye Tracking Technology”(Project No.:2023YJY-72)Key Research and Development Program of Shaanxi Province,“Study on the Correlation between Deep Medullary Veins and Cognitive Dysfunction in Cerebral Small Vessel Disease”(Project No.:2023-YBSF-033)。
文摘Objective:To explore the application effect of group cooperative learning combined with flipped classroom in standardized training of emergency surgery resident physicians.Methods:95 resident physicians undergoing emergency surgery standardized training in our hospital were randomly divided into an experimental group(46,group cooperative learning+flipped classroom)and a control group(49,traditional teaching).The training period was 2 months.Results:The graduation assessment scores of the experimental group were higher than those of the control group(P<0.05).The improvement in critical thinking ability and self-learning ability was better than that of the control group(P<0.05).The response rate of“yes”to all items of course teaching satisfaction was significantly higher than that of the control group(P<0.05).The satisfaction scores for training teachers were higher than those of the control group(P<0.05).Conclusion:The teaching model of group cooperative learning combined with flipped classroom,through reconstructing the learning process and activating interactive participation,can significantly improve the clinical operation and theoretical foundation of emergency surgery standardized training students.It also cultivates core professional qualities such as critical thinking,self-learning,and team collaboration,providing a feasible paradigm for integrated medical education in this discipline.
基金supported by the National Natural Science Foundation of China(62171088,U19A2052,62020106011)the Medico-Engineering Cooperation Funds from University of Electronic Science and Technology of China(ZYGX2021YGLH215,ZYGX2022YGRH005)。
文摘Deep neural networks(DNNs)have achieved great success in many data processing applications.However,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices,and it is not environmental-friendly with much power cost.In this paper,we focus on low-rank optimization for efficient deep learning techniques.In the space domain,DNNs are compressed by low rank approximation of the network parameters,which directly reduces the storage requirement with a smaller number of network parameters.In the time domain,the network parameters can be trained in a few subspaces,which enables efficient training for fast convergence.The model compression in the spatial domain is summarized into three categories as pre-train,pre-set,and compression-aware methods,respectively.With a series of integrable techniques discussed,such as sparse pruning,quantization,and entropy coding,we can ensemble them in an integration framework with lower computational complexity and storage.In addition to summary of recent technical advances,we have two findings for motivating future works.One is that the effective rank,derived from the Shannon entropy of the normalized singular values,outperforms other conventional sparse measures such as the?_1 norm for network compression.The other is a spatial and temporal balance for tensorized neural networks.For accelerating the training of tensorized neural networks,it is crucial to leverage redundancy for both model compression and subspace training.
文摘In contemporary English teaching, the study of English learning strategies has become one of the main concerns in teachers＇ teaching and research processes. The necessity of implementation of learning strategies training in the field of English teaching practice still remains disputable. This essay first introduces the different reactions towards the field; then advances the idea of combining English teaching strategies with English learning strategies attempting the implementation of learning strategies training in the classroom teaching. Finally, some thinking produced in the process of practicing the strategies training is raised to reexamine this teaching mode.
文摘As the ultimate goal of education, autonomy in language learning has aroused a lot of attention from scholars at home and abroad. While in universities of China, students do not have strong autonomy in English language learning. The author tries to adopt specific meta-cognitive strategies to facilitate students＇ autonomy in learning by improving learners＇ capacities in study planning or management, monitoring and evaluating in learning to raise their consciousness and ability in autonomy, and lay a foundation for life-long learning.
文摘This paper mainly deals with the comprehensive knowledge system of learning strategy.Then it tries to probe the steps of strategy training and it's significance to English teaching.
文摘The inherent teaching approach can no longer meet the demands of society.In this paper,current issues within the teaching landscape of architectural engineering technology in higher vocational colleges as well as the policies and teaching demands that formed the basis of this model were analyzed.The study shows the importance of the implementation of the teaching model“promoting teaching and learning through competitions.”This model puts emphasis on the curriculum and teaching resources,while also integrating the teaching process and evaluation with competition.These efforts aim to drive education reform in order to better align with the objectives of vocational education personnel training,while also acting as a reference for similar courses.
文摘In order to investigate the feasibility of serum creatine kinase （CK） and blood urea nitrogen （BUN） in monitoring pre-competition training of badminton athletes, the pre-competition training load of 20 badminton athletes was studied, and serum CK and BUN were determined before, immediate and next morning after training. The results showed that after intensive training for one week, serum CK levels were significantly increased by 57.53 mmol/L （P〈0.05）. After regulation of the training intensity, average serum CK levels were increased by 21.79 mmol/L （P〈0.05）. BUN contents were increased by 0.83 mmol/L on average with the difference being not significant （P〉0.05）. After intermittent training, there was significant difference in the average increased levels of serum CK in athletes （P〈0.05）. There was significant difference before and after regulation of training （P〈0.05）. The increased levels of BUN were 0.78 mmol/L without significant difference （P〉0.05）. It was concluded that serum CK was one of the biochemical indicators monitoring the training load sensitivity of badminton athletes, but BUN was of little value in monitoring the training load. Both serum CK and BUN recovered slowly after one-week intensive training and intermittent training, suggesting the metabolic mechanism of human body in training needs further study.
文摘The article examines the world experience of e-learning as well as distance education technologies within the education process organization on higher and post-higher education programs.There have been listed the results of the most popular e-learning platforms analysis.Furthermore,there have been looked through the core legislative background of the development of the mentioned technologies in Russia and worldwide among the universities,specialized in seafarers training.There have been also drawn up the points of the Admiral Makarov State University of Maritime and Inland Shipping(Admiral Makarov SUMIS)design of the distance education system LMS"FARWATER"in compliance with the International Convention on Standards of Training,Certification and Watchkeeping for Seafarers(STCW Convention).The practical application of distance education system to the advanced professional training has been discussed in the article.
基金supported by grants from the National Natural Science Foundation of China(31771243)the Fok Ying Tong Education Foundation(141113)to Aiguo Chen.
文摘In recent years evidence has emerged suggesting that Mini-basketball training program(MBTP)can be an effec-tive intervention method to improve social communication(SC)impairments and restricted and repetitive beha-viors(RRBs)in preschool children suffering from autism spectrum disorder(ASD).However,there is a considerable degree if interindividual variability concerning these social outcomes and thus not all preschool chil-dren with ASD profit from a MBTP intervention to the same extent.In order to make more accurate predictions which preschool children with ASD can benefit from an MBTP intervention or which preschool children with ASD need additional interventions to achieve behavioral improvements,further research is required.This study aimed to investigate which individual factors of preschool children with ASD can predict MBTP intervention out-comes concerning SC impairments and RRBs.Then,test the performance of machine learning models in predict-ing intervention outcomes based on these factors.Participants were 26 preschool children with ASD who enrolled in a quasi-experiment and received MBTP intervention.Baseline demographic variables(e.g.,age,body,mass index[BMI]),indicators of physicalfitness(e.g.,handgrip strength,balance performance),performance in execu-tive function,severity of ASD symptoms,level of SC impairments,and severity of RRBs were obtained to predict treatment outcomes after MBTP intervention.Machine learning models were established based on support vector machine algorithm were implemented.For comparison,we also employed multiple linear regression models in statistics.Ourfindings suggest that in preschool children with ASD symptomatic severity(r=0.712,p<0.001)and baseline SC impairments(r=0.713,p<0.001)are predictors for intervention outcomes of SC impair-ments.Furthermore,BMI(r=-0.430,p=0.028),symptomatic severity(r=0.656,p<0.001),baseline SC impair-ments(r=0.504,p=0.009)and baseline RRBs(r=0.647,p<0.001)can predict intervention outcomes of RRBs.Statistical models predicted 59.6%of variance in post-treatment SC impairments(MSE=0.455,RMSE=0.675,R2=0.596)and 58.9%of variance in post-treatment RRBs(MSE=0.464,RMSE=0.681,R2=0.589).Machine learning models predicted 83%of variance in post-treatment SC impairments(MSE=0.188,RMSE=0.434,R2=0.83)and 85.9%of variance in post-treatment RRBs(MSE=0.051,RMSE=0.226,R2=0.859),which were better than statistical models.Ourfindings suggest that baseline characteristics such as symptomatic severity of 144 IJMHP,2022,vol.24,no.2 ASD symptoms and SC impairments are important predictors determining MBTP intervention-induced improvements concerning SC impairments and RBBs.Furthermore,the current study revealed that machine learning models can successfully be applied to predict the MBTP intervention-related outcomes in preschool chil-dren with ASD,and performed better than statistical models.Ourfindings can help to inform which preschool children with ASD are most likely to benefit from an MBTP intervention,and they might provide a reference for the development of personalized intervention programs for preschool children with ASD.
文摘Objective: To explore the application effect of flipped classroom combined with problem-based learning teaching method in clinical skills teaching of standardized training for resident doctors of traditional Chinese Medicine. Methods: The study used the experimental control method. The study lasted from September to November 2022. The subjects of this study were 49 students of standardized training for resident doctors of traditional Chinese Medicine from grades 2020, 2021 and 2022 of Dazhou integrated TCM & Western Medicine Hospital. They were randomly divided into experiment group (25) and control group (24). The experiment group adopted flipped classroom combined with problem-based learning teaching method, and the control group adopted traditional teaching method. The teaching content was 4 basic clinical skill projects, including four diagnoses of traditional Chinese Medicine, cardiopulmonary resuscitation, dressing change procedure, acupuncture and massage. The evaluation method was carried out by comparing the students’ performance and a self-designed questionnaire was used to investigate the students’ evaluation of the teaching method. Results: The test scores of total scores in the experimental group (90.12 ± 5.89) were all higher than those in the control group (81.47 ± 7.96) (t = 4.53, P P Conclusions: The teaching process of the flipped classroom combined with problem-based learning teaching method is conducive to improving the efficiency of classroom teaching, cultivating students’ self-learning ability, and enhancing students’ willingness to learn.
文摘Intrusion detection system plays an important role in defending networks from security breaches.End-to-end machine learning-based intrusion detection systems are being used to achieve high detection accuracy.However,in case of adversarial attacks,that cause misclassification by introducing imperceptible perturbation on input samples,performance of machine learning-based intrusion detection systems is greatly affected.Though such problems have widely been discussed in image processing domain,very few studies have investigated network intrusion detection systems and proposed corresponding defence.In this paper,we attempt to fill this gap by using adversarial attacks on standard intrusion detection datasets and then using adversarial samples to train various machine learning algorithms(adversarial training)to test their defence performance.This is achieved by first creating adversarial sample based on Jacobian-based Saliency Map Attack(JSMA)and Fast Gradient Sign Attack(FGSM)using NSLKDD,UNSW-NB15 and CICIDS17 datasets.The study then trains and tests JSMA and FGSM based adversarial examples in seen(where model has been trained on adversarial samples)and unseen(where model is unaware of adversarial packets)attacks.The experiments includes multiple machine learning classifiers to evaluate their performance against adversarial attacks.The performance parameters include Accuracy,F1-Score and Area under the receiver operating characteristic curve(AUC)Score.
文摘Simulation-based mastery learning(SBML)is an emerging form of competencybased training that has been proposed as the next standard method for procedural task training,including that in gastr-ointestinal endoscopy.Current basic gastrointestinal endoscopy training relies on the number of procedures performed,and it has been criticized for its lack of objective standards that result in variable skills among trainees and its association with patient safety risk.Thus,incorporating simulators into a competency-based curriculum seems ideal for gastrointestinal endoscopy training.The curriculum for SBML in gastrointestinal endoscopy is currently being developed and has promising potential to translate into the clinical performance.Unlike the present apprenticeship model of“see one,do one,teach one,”SBML integrates a competency-based curriculum with specific learning objectives alongside simulation-based training.This allows trainees to practice essential skills repeatedly,receive feedback from experts,and gradually develop their abilities to achieve mastery.Moreover,trainees and trainers need to understand the learning targets of the program so that trainees can focus their learning on the necessary skills and trainers can provide structured feedback based on the expected outcomes.In addition to learning targets,an assessment plan is essential to provide trainees with future directions for their improvement and ensure patient safety by issuing a passing standard.Finally,the SBML program should be planned and managed by a specific team and conducted within a developed and tested curriculum.This review discusses the current state of gastr-ointestinal endoscopy training and the role of SBML in that field.
基金Supported by ERASMUS 2016-1-FR01-KA204-024178"STEAM"Eurostars E!10431"Neurostars"FSN CIN7171116"Virtual Classroom"。
文摘It is becoming increasingly prevalent in digital learning research to encompass an array of different meanings,spaces,processes,and teaching strategies for discerning a global perspective on constructing the student learning experience.Multimodality is an emergent phenomenon that may influence how digital learning is designed,especially when employed in highly interactive and immersive learning environments such as Virtual Reality(VR).VR environments may aid students'efforts to be active learners through consciously attending to,and reflecting on,critique leveraging reflexivity and novel meaning-making most likely to lead to a conceptual change.This paper employs eleven industrial case-studies to highlight the application of multimodal VR-based teaching and training as a pedagogically rich strategy that may be designed,mapped and visualized through distinct VR-design elements and features.The outcomes of the use cases contribute to discern in-VR multimodal teaching as an emerging discourse that couples system design-based paradigms with embodied,situated and reflective praxis in spatial,emotional and temporal VR learning environments.
基金the National Natural Science Foundationof China(30471826)
文摘Objective： To study effects of behavior training on learning, memory and the expression of NR2B, GluR1 in hippocampus of rat＇ s offspring with fetal growth restriction（FGR）. Methods： The rat model of FGR was established by passive smoking method. The rats offspring were divided into the FGR group and the control group, then randomly divided into the trained and untrained group, respectively. Morris water maze test was proceeded on postnatal month（PM2/4） as a behavior training method, then the learning-memory of rats was detected through dark-avoidance and step-down tests. The expressions of NR2B and GluR1 subunits in hippocampal CA1 and CA3 areas were detected by immunohistochemical method. Results： In the dark-avoidance and step-down tests, the performance record of rats with FGR was worse than that of control rats, and the behavior-trained rats was better than the untrained rats, when the FGR model and training factors were analyzed singly. The model factor and training factor had significant interaction（P 〈 0.05）. The expressions of NR2B and GluR1 subunits in hippocampal CA1 and CA3 areas of rats with FGR reduced. In contrast, the expressions of GluR1 and NR2B subunits in CA1 area of behavior-trained rats increased, when the FGR model and training factors were analyzed singly. Conclusion： These findings suggested that the effect of behavior training on the expressions of NR2B and GluR1 subunits in CA1 area should be the mechanistic basis for the training-induced improvement in learning-memory abilities.
文摘Objective: This study aimed to determine variables associated (predictors and correlates) with the learning of assessment and supportive skills in the context of a communication skills training for medical residents. Methods: Learning was measured by comparing residents’ communication skills in a simulated consultation before and after a communication skills training. Communication skills were transcribed and tagged with a computer-assisted program. Potential variables associated with learning (residents’ characteristics, contextual characteristics and pre-training communication skills) were measured before the training and entered in regression analysis. Results: Fifty-six residents followed the training between 2002 and 2006. Poor pre-training assessment and supportive skills predicted the respective learning of these skills. Better assessment skills’ learning was predicted by copings (i.e. lower level of emotional coping), lower levels of self-efficacy and depersonalization. Better supportive skills’ learning was predicted by a lower work experience and associated with a higher training attendance rate. Conclusions: Predictors and correlates of assessment and supportive skills learning were different. Trainers needed to detect certain residents’ characteristics (i.e. depersonalization) in order to optimize assessment skills learning. Trainers needed to be aware that supportive skills are difficult to learn and to teach and may need more training hours.
基金the National Natural Science Foundation of China(30471826)
文摘Objective: To investigate the effect of behavior training on the learning and memory of young rats with fetal growth restriction (FGR). Methods: The model of FGR was established by passive smoking method to pregnant rats. The new-born rats were divided into FGR group and normal group, and then randomly subdivided into trained and untrained group respectively. Morris water maze behavior training was performed on postnatal months 2 and 4, then learning and memory abilities of young rats were measured by dark-avoidance testing and step-down testing. Results: In the dark-avoidance and step-down testing, the young rats’ performance of FGR group was worse than that of control group, and the trained group was better than the untrained group significantly. Conclusion: FGR young rats have descended learning and memory abilities. Behavior training could improve the young rats’ learning and memory abilities, especially for the FGR young rats.
文摘Strategy training can help learner to become better and independent learners.The four models of language strategy training,namely Pearson and Dole’s model,Oxford et al.’s approach,Chamot and O’Malley’s framework,and Cohen’strategies-based instruction(SBI)are discussed and found to have features in common.In the hope of enhancing Chinese adult learners’English learning and helping them become independent and autonomous,the three-stage model is proposed by the writer of the paper.With certain features adopted from the models designed by other researchers,the three-stage strategy training model is suitable to English learners of two-year undergraduate program in continuing education.
