With the reform booming in teaching fields,the author carried out Graded English teaching in her teaching classroom and achieved favorable efficiency.In this paper,the author mainly discusses the specific grading of e...With the reform booming in teaching fields,the author carried out Graded English teaching in her teaching classroom and achieved favorable efficiency.In this paper,the author mainly discusses the specific grading of exercise after class in implementing graded teaching,taking for example Section A,Unit 6(Go for it! SB for Grade Eight,Volume A,by People's Education Press and Thomson Learning,2004,2nded).展开更多
As in reading teaching,schema theory has long been taking a dominant part.According to this theory,English teacherscan help the students to call up their prior knowledge by placing an emphasis on a more efficient use ...As in reading teaching,schema theory has long been taking a dominant part.According to this theory,English teacherscan help the students to call up their prior knowledge by placing an emphasis on a more efficient use of pre-reading activities.Oneof the effective activities is to make good use of the pre-reading exercises in the textbook.This paper intends to analyze the resultsof two brief investigations.One was about the pre-reading exercises in the SEFC(New Edition 2010)Book 1.The other was car-ried out among the first year students from Nanhai Experimental High School of South China Normal University.English teachersin high school thus can train the students to make links between the text and what they already know according to their interests.展开更多
Since translation as a teaching method is widely used in English teaching to help students understand and memorize relevant materials of the foreign language,translation exercises are also introduced by teachers to as...Since translation as a teaching method is widely used in English teaching to help students understand and memorize relevant materials of the foreign language,translation exercises are also introduced by teachers to assess students’ability of the under-standing of the two languages.This paper critically examines the necessity of translation and translation exercises in English teaching and points out that proper translation and translations exercises may develop students’awareness of the differences between Chinese and English and enhance their bilingual capability.展开更多
As we all know,in English teaching and learning,textbooks plays a very important role.In Central South University,Contempo-rary College English(henceforth CCE) is chosen as textbooks for freshmen and sophomores in gen...As we all know,in English teaching and learning,textbooks plays a very important role.In Central South University,Contempo-rary College English(henceforth CCE) is chosen as textbooks for freshmen and sophomores in general English class,and Subject-basedEnglish(henceforth SBE) for senior grade students in special English class.This study endeavors to evaluate each one of CCE and SBEpublished by Foreign Language Teaching and Research Press on the basis of the theoretical foundation and statistical analysis.展开更多
Obesity,caused by excessive energy,leads to body weight gain and various diseases,including cognitive impairment.Current studies suggest that diet restriction such as optimal fasting and regular exercise are crucial f...Obesity,caused by excessive energy,leads to body weight gain and various diseases,including cognitive impairment.Current studies suggest that diet restriction such as optimal fasting and regular exercise are crucial for improving cognitive capacity.However,further exploration is needed to understand the specific mechanisms of high fat diet(HFD)-induced cognitive decline in obesity.In the present study,4-month-old mice were subjected to HFD feeding for 18 weeks,followed by aerobic exercise and high-intensity intermittent exercise,regular diet feeding,and intermittent fasting for 8 weeks,and then used to evaluate cognitive capacity,inflammation,compromised insulin signaling pathway,and apoptosis in hippocampal tissue,as well as AMPK/SIRT1 and TLR4 signal pathways.Obese mice revealed impaired cognitive capacity as compared with mice fed with regular diets.In contrast,aerobic exercise,high-intensity intermittent exercise,regular diet,and intermittent fasting could inhibit apoptosis caused by inflammation-mediated compromised insulin signaling pathway in hippocampal tissues through activating the AMPK/SIRT1 signal pathway and suppressing the TLR4 signal pathway,thereby rescuing the cognitive impairment of obese mice.Therefore,diet restriction and exercise interventions may play a positive role in reverting obesity-induced cognitive impairment.展开更多
The exercise recommendation system is emerging as a promising application in online learning scenarios,providing personalized recommendations to assist students with explicit learning directions.Existing solutions gen...The exercise recommendation system is emerging as a promising application in online learning scenarios,providing personalized recommendations to assist students with explicit learning directions.Existing solutions generally follow a collaborative filtering paradigm,while the implicit connections between students(exercises)have been largely ignored.In this study,we aim to propose an exercise recommendation paradigm that can reveal the latent connections between student-student(exercise-exercise).Specifically,a new framework was proposed,namely personalized exercise recommendation with student and exercise portraits(PERP).It consists of three sequential and interdependent modules:Collaborative student exercise graph(CSEG)construction,joint random walk,and recommendation list optimization.Technically,CSEG is created as a unified heterogeneous graph with students’response behaviors and student(exercise)relationships.Then,a joint random walk to take full advantage of the spectral properties of nearly uncoupled Markov chains is performed on CSEG,which allows for full exploration of both similar exercises that students have finished and connections between students(exercises)with similar portraits.Finally,we propose to optimize the recommendation list to obtain different exercise suggestions.After analyses of two public datasets,the results demonstrated that PERP can satisfy novelty,accuracy,and diversity.展开更多
Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one ...Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one of the most prominent mechanisms explaining the effects of exercise on cancer[1,2].Physical exercise primarily lowers blood cholesterol and triglycerides,and protects against cardiovascular diseases[3].However,whether physical exercise can modulate cholesterol metabolism in tumor cells is currently unknown.展开更多
Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable rea...Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable real-time detection of exercise intensity and mitigate the risks of harmfrom excessive exercise, a exercise intensity monitoring system based on the heart rate variability(HRV) from electrocardiogram (ECG) signal and linear features from phonocardiogram (PCG)signal is proposed. The main contributions include: First, accurate analysis of HRV is crucial forsubsequent exercise intensity detection. To enhance HRV analysis, we propose an R-peak detectorbased on encoder-decoder and temporal convolutional network (TCN). Experimental resultsdemonstrate that the proposed R-peak detector achieves an F1 score exceeding 0.99 on real high-intensity exercise ECG datasets. Second, an exercise fatigue monitoring system based on multi-signal feature fusion is proposed. Initially, utilizing the proposed R-peak detector for HRV extractionin exercise intensity detection,which outperforms traditional algorithms, with the system achieving a classification performance of 0.933 sensitivity, 0.802 specificity, and 0.960 accuracy. To further improve the system, we combine HRV with the linear features of PCG. Our exercise intensitydetection system achieves 90.2% specificity, 96.7% recall, and 98.1% accuracy in five-fold cross-validation.展开更多
Accurate detection of exercise fatigue based on physiological signals is vital for reason-able physical activity.As a non-invasive technology,phonocardiogram(PCG)signals possess arobust capability to reflect cardiovas...Accurate detection of exercise fatigue based on physiological signals is vital for reason-able physical activity.As a non-invasive technology,phonocardiogram(PCG)signals possess arobust capability to reflect cardiovascular information,and their data acquisition devices are quiteconvenient.In this study,a novel hybrid approach of fractional Fourier transform(FRFT)com-bined with linear and discrete wavelet transform(DWT)features extracted from PCG is proposedfor PCG multi-class classification.The proposed system enhances the fatigue detection performanceby combining optimized FRFT features with an effective aggregation of linear features and DWTfeatures.The FRFT technique is employed to convert the 1-D PCG signal into 2-D image which issent to a pre-trained convolutional neural network structure,called VGG-16.The features from theVGG-16 were concatenated with the linear and DWT features to form fused features.The fusedfeatures are sent to support vector machine(SVM)to distinguish six distinct fatigue levels.Experi-mental results demonstrate that the proposed fused features outperform other feature combinationssignificantly.展开更多
文摘With the reform booming in teaching fields,the author carried out Graded English teaching in her teaching classroom and achieved favorable efficiency.In this paper,the author mainly discusses the specific grading of exercise after class in implementing graded teaching,taking for example Section A,Unit 6(Go for it! SB for Grade Eight,Volume A,by People's Education Press and Thomson Learning,2004,2nded).
文摘As in reading teaching,schema theory has long been taking a dominant part.According to this theory,English teacherscan help the students to call up their prior knowledge by placing an emphasis on a more efficient use of pre-reading activities.Oneof the effective activities is to make good use of the pre-reading exercises in the textbook.This paper intends to analyze the resultsof two brief investigations.One was about the pre-reading exercises in the SEFC(New Edition 2010)Book 1.The other was car-ried out among the first year students from Nanhai Experimental High School of South China Normal University.English teachersin high school thus can train the students to make links between the text and what they already know according to their interests.
文摘Since translation as a teaching method is widely used in English teaching to help students understand and memorize relevant materials of the foreign language,translation exercises are also introduced by teachers to assess students’ability of the under-standing of the two languages.This paper critically examines the necessity of translation and translation exercises in English teaching and points out that proper translation and translations exercises may develop students’awareness of the differences between Chinese and English and enhance their bilingual capability.
文摘As we all know,in English teaching and learning,textbooks plays a very important role.In Central South University,Contempo-rary College English(henceforth CCE) is chosen as textbooks for freshmen and sophomores in general English class,and Subject-basedEnglish(henceforth SBE) for senior grade students in special English class.This study endeavors to evaluate each one of CCE and SBEpublished by Foreign Language Teaching and Research Press on the basis of the theoretical foundation and statistical analysis.
基金supported by the National Natural Science Foundation of China(32471186,31771318)the 14^(th) Five-Year-Plan Advantageous and Characteristic Disciplines(Groups)of Colleges and Universities in Hubei Province for Exercise and Brain Science from Hubei Provincial Department of Education,and the Leading Talent Program Foundation from Wuhan Sports University to Ning Chen+3 种基金the National Natural Science Foundation of China(81701391)the Natural Science Foundation of Hubei Province(2023AFB700)Key Project of Scientific Research of Education Department of Hubei Province(D20234101)Young and Middle aged Scientific Research Team Project of Wuhan Sports University(21KT08)to Jingjing Fan.
文摘Obesity,caused by excessive energy,leads to body weight gain and various diseases,including cognitive impairment.Current studies suggest that diet restriction such as optimal fasting and regular exercise are crucial for improving cognitive capacity.However,further exploration is needed to understand the specific mechanisms of high fat diet(HFD)-induced cognitive decline in obesity.In the present study,4-month-old mice were subjected to HFD feeding for 18 weeks,followed by aerobic exercise and high-intensity intermittent exercise,regular diet feeding,and intermittent fasting for 8 weeks,and then used to evaluate cognitive capacity,inflammation,compromised insulin signaling pathway,and apoptosis in hippocampal tissue,as well as AMPK/SIRT1 and TLR4 signal pathways.Obese mice revealed impaired cognitive capacity as compared with mice fed with regular diets.In contrast,aerobic exercise,high-intensity intermittent exercise,regular diet,and intermittent fasting could inhibit apoptosis caused by inflammation-mediated compromised insulin signaling pathway in hippocampal tissues through activating the AMPK/SIRT1 signal pathway and suppressing the TLR4 signal pathway,thereby rescuing the cognitive impairment of obese mice.Therefore,diet restriction and exercise interventions may play a positive role in reverting obesity-induced cognitive impairment.
基金supported by the Industrial Support Project of Gansu Colleges under Grant No.2022CYZC-11Gansu Natural Science Foundation Project under Grant No.21JR7RA114+1 种基金National Natural Science Foundation of China under Grants No.622760736,No.1762078,and No.61363058Northwest Normal University Teachers Research Capacity Promotion Plan under Grant No.NWNU-LKQN2019-2.
文摘The exercise recommendation system is emerging as a promising application in online learning scenarios,providing personalized recommendations to assist students with explicit learning directions.Existing solutions generally follow a collaborative filtering paradigm,while the implicit connections between students(exercises)have been largely ignored.In this study,we aim to propose an exercise recommendation paradigm that can reveal the latent connections between student-student(exercise-exercise).Specifically,a new framework was proposed,namely personalized exercise recommendation with student and exercise portraits(PERP).It consists of three sequential and interdependent modules:Collaborative student exercise graph(CSEG)construction,joint random walk,and recommendation list optimization.Technically,CSEG is created as a unified heterogeneous graph with students’response behaviors and student(exercise)relationships.Then,a joint random walk to take full advantage of the spectral properties of nearly uncoupled Markov chains is performed on CSEG,which allows for full exploration of both similar exercises that students have finished and connections between students(exercises)with similar portraits.Finally,we propose to optimize the recommendation list to obtain different exercise suggestions.After analyses of two public datasets,the results demonstrated that PERP can satisfy novelty,accuracy,and diversity.
基金This work was supported by the National Natural Science Foundation of China(82172511)the Natural Science Foundation of Jiangsu Province(BK20210068)+4 种基金the Sanming Project of Medicine in Shenzhen(SZSM201612078)the Health Shanghai Initiative Special Fund[Medical-Sports Integration(JKSHZX-2022-02)]the Top Talent Support Program for Young-and Middle-aged People of Wuxi Municipal Health Commission(HB2020003)the Mega-project of Wuxi Commission of Health(Z202216)the High-end Medical Expert Team of the 2019 Taihu Talent Plan(2019-THRCTD-1)
文摘Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one of the most prominent mechanisms explaining the effects of exercise on cancer[1,2].Physical exercise primarily lowers blood cholesterol and triglycerides,and protects against cardiovascular diseases[3].However,whether physical exercise can modulate cholesterol metabolism in tumor cells is currently unknown.
基金the National Natural Science Foundation of China(No.62301056)the Fundamental Research Funds for Central Universities(No.2022QN005).
文摘Moderate exercise contributes to health, but excessive exercise may lead to physicalinjury or even endanger life. It is pressing for a device that can detect the intensity of exercise.Therefore, in order to enable real-time detection of exercise intensity and mitigate the risks of harmfrom excessive exercise, a exercise intensity monitoring system based on the heart rate variability(HRV) from electrocardiogram (ECG) signal and linear features from phonocardiogram (PCG)signal is proposed. The main contributions include: First, accurate analysis of HRV is crucial forsubsequent exercise intensity detection. To enhance HRV analysis, we propose an R-peak detectorbased on encoder-decoder and temporal convolutional network (TCN). Experimental resultsdemonstrate that the proposed R-peak detector achieves an F1 score exceeding 0.99 on real high-intensity exercise ECG datasets. Second, an exercise fatigue monitoring system based on multi-signal feature fusion is proposed. Initially, utilizing the proposed R-peak detector for HRV extractionin exercise intensity detection,which outperforms traditional algorithms, with the system achieving a classification performance of 0.933 sensitivity, 0.802 specificity, and 0.960 accuracy. To further improve the system, we combine HRV with the linear features of PCG. Our exercise intensitydetection system achieves 90.2% specificity, 96.7% recall, and 98.1% accuracy in five-fold cross-validation.
基金the National Natural Sci-ence Foundation of China(No.62301056)the Fundamental Research Funds for Central Universities(No.2022QN005).
文摘Accurate detection of exercise fatigue based on physiological signals is vital for reason-able physical activity.As a non-invasive technology,phonocardiogram(PCG)signals possess arobust capability to reflect cardiovascular information,and their data acquisition devices are quiteconvenient.In this study,a novel hybrid approach of fractional Fourier transform(FRFT)com-bined with linear and discrete wavelet transform(DWT)features extracted from PCG is proposedfor PCG multi-class classification.The proposed system enhances the fatigue detection performanceby combining optimized FRFT features with an effective aggregation of linear features and DWTfeatures.The FRFT technique is employed to convert the 1-D PCG signal into 2-D image which issent to a pre-trained convolutional neural network structure,called VGG-16.The features from theVGG-16 were concatenated with the linear and DWT features to form fused features.The fusedfeatures are sent to support vector machine(SVM)to distinguish six distinct fatigue levels.Experi-mental results demonstrate that the proposed fused features outperform other feature combinationssignificantly.
