Introduction: One form of child labor is early learning, which is a less worrying phenomenon in our communities in Benin. The objective of this study was to assess the practice of early learning for children in rural ...Introduction: One form of child labor is early learning, which is a less worrying phenomenon in our communities in Benin. The objective of this study was to assess the practice of early learning for children in rural areas. Methods: This was a cross-sectional study combined with a qualitative component conducted in the Kissamey district of Benin with four targets: child apprentices (52), master craftsmen (41), parents and guardians (34), local authorities (9). The collection tools were a questionnaire and an interview guide. Results: The frequency of early learning among children was 32.07% with difficult socioeconomic conditions: polygamy (75%), strong siblings (79%), out of school (33%), unmet food needs (96%). The reasons for early learning according to parents were: refusal of the child to go to school (44%), financial difficulties (31%), school failure (22%), but 38% of these children did not know the reason for their learning. The actors had little knowledge of the regulatory texts. Conclusion: Early learning remains a societal problem related to out-of-school and difficult socioeconomic conditions.展开更多
Learning stories is very important for kindergarten teaching. This kind of teaching refers to a child-centered evaluation method, which changes teachers' teaching methods through narrative expression and stories a...Learning stories is very important for kindergarten teaching. This kind of teaching refers to a child-centered evaluation method, which changes teachers' teaching methods through narrative expression and stories as carriers, so as to improve teaching records, make up for the shortage of kindergarten regional activities, and enable teachers to fully explore the development track and course of children. It is extremely important for children's growth.展开更多
Background:Occupational therapists can play a key role in early identifica-tion of delay at the population health level by providing education to public health employees on how to implement developmental monitoring wi...Background:Occupational therapists can play a key role in early identifica-tion of delay at the population health level by providing education to public health employees on how to implement developmental monitoring with caregivers of children birth to age 5.Methods:A pretest posttest design was utilized to assess the online education and training that was provided to Department of Public Health employees(N=339),including Head Start,Special Supplemental Nutrition Program for Women,Infants and Children,Home Visiting,and Early Intervention.Results:Analysis of pretest‐posttest survey data showed significant results for all 12 key learning outcomes.Six out of 12 outcomes were found to have a large effect size(d>0.8),4 outcomes indicated a medium effect size(d>0.5),and 2 outcomes had a small effect size(d>0.2).Participants gained knowledge of the“Learn the Signs.Act Early.”(LTSAE)developmental monitoring program,the difference between developmental monitoring and screening,the state's referral system and age‐appropriate parental engagement activities through knowledge of child development.Conclusions:Occupational therapists are child development specialists who can provide education on developmental monitoring and activities for parental engagement.The online course proved to be an effective platform to promote LTSAE within state agencies.展开更多
Background:Children spend substantial time in childcare,and the reasons parents choose a particular childcare type may differ by family.However,little is known about how childcare type influences habitual(full day)act...Background:Children spend substantial time in childcare,and the reasons parents choose a particular childcare type may differ by family.However,little is known about how childcare type influences habitual(full day)activity levels among children.Therefore,exploring patterns between childcare type and habitual physical activity(PA)(i.e.,light,moderate-to-vigorous PA(MVPA),and total PA)and sedentary time(ST)in young Canadian children is needed.Methods:A nationally representative sample of preschoolers from Cycles 3 and 4 of the Canadian Health Measures Survey was used in this cross-sectional study.Childcare type(e.g.,center-based childcare,home-based childcare,home with parent,kindergarten)was reported by parents.Preschoolers wore an Actical accelerometer for 7 days.Device and population-spcific cut-points were applied to delineate PA intensities and ST.Population means and sample totals were calculated to examine average daily and hourly rates of activity.Results:Preschoolers’rates of MVPA and total PA from the 4 childcare arrangements ranged from 65.99 min/day to 74.62 min/day(5.48-6.18 min/h)and 274.20 min/day to 281.66 min/day (22.69-23.21 min/h),respectively,while ST ranged from 443.13 min/day to 460.57 min/day(36.80-37.31 min/h).No significant differences were observed in daily or hourly rates of activity.Conclusion:This study provides a snapshot of the levels of PA and ST among preschoolers in various childcare settings at a national level,with no differences observed in habitual activity levels based on childcare enrollment.Additional research is needed to clarify the relationship between young children’s PA and childcare type,with consideration given to the quality of the childcare settings.展开更多
The accurate estimation of the remaining charge time(RCT)is essential in a battery management system(BMS),because it guarantees the safety and dependability of the power battery systems of new energy vehicles.However,...The accurate estimation of the remaining charge time(RCT)is essential in a battery management system(BMS),because it guarantees the safety and dependability of the power battery systems of new energy vehicles.However,the direct estimation of RCT is challenging because of the variability of actual charging scenarios and the complex charging process,which complicates the estimation of RCT in actual scenarios.Hence,this paper proposes an estimation framework based on deep learning for multi-scenario charging data to estimate the remaining charging times.Through an in-depth analysis of multi-scenario charging data,the RCT of the charging process is estimated using the temporal convolutional network(TCN)model,which has a strong generalization ability.Additionally,a dynamic learning rate(DLR)mechanism and an early stopping strategy(ES)are designed in the TCN model(DLR-ES TCN)for the nonlinear characteristics of the battery system to balance the relationship between model convergence speed and accuracy.Finally,compared with the traditional TCN model and four common deep learning models under three different scenarios,the experimental results show the mean absolute percentage error(MAPE)of the proposed method is less than 2%,indicating better accuracy and stability.This research can improve the safety monitoring of power batteries when applied to various target domains.展开更多
Currently,learning early warning mainly uses two methods,student classification and performance regression,both of which have some shortcomings.The granularity of student classification is not fine enough.The performa...Currently,learning early warning mainly uses two methods,student classification and performance regression,both of which have some shortcomings.The granularity of student classification is not fine enough.The performance regression gives an absolute score value,and it cannot directly show the position of a student in the class.To overcome the above shortcomings,we will focus on a rare learning early warning method-ranking prediction.We propose a dual-student performance comparison model(DSPCM)to judge the ranking relationship between a pair of students.Then,we build the model using data including class quiz scores and online behavior times and find that these two sets of features improve the Spearman correlation coefficient for the ranking prediction by 0.2986 and 0.0713,respectively.We also compare the process proposed with the method of first using a regression model to predict scores and then ranking students.The result shows that the Spearman correlation coefficient of the former is 0.1125 higher than that of the latter.This reflects the advantage of the DSPCM in ranking prediction.展开更多
文摘Introduction: One form of child labor is early learning, which is a less worrying phenomenon in our communities in Benin. The objective of this study was to assess the practice of early learning for children in rural areas. Methods: This was a cross-sectional study combined with a qualitative component conducted in the Kissamey district of Benin with four targets: child apprentices (52), master craftsmen (41), parents and guardians (34), local authorities (9). The collection tools were a questionnaire and an interview guide. Results: The frequency of early learning among children was 32.07% with difficult socioeconomic conditions: polygamy (75%), strong siblings (79%), out of school (33%), unmet food needs (96%). The reasons for early learning according to parents were: refusal of the child to go to school (44%), financial difficulties (31%), school failure (22%), but 38% of these children did not know the reason for their learning. The actors had little knowledge of the regulatory texts. Conclusion: Early learning remains a societal problem related to out-of-school and difficult socioeconomic conditions.
文摘Learning stories is very important for kindergarten teaching. This kind of teaching refers to a child-centered evaluation method, which changes teachers' teaching methods through narrative expression and stories as carriers, so as to improve teaching records, make up for the shortage of kindergarten regional activities, and enable teachers to fully explore the development track and course of children. It is extremely important for children's growth.
基金OT18‐1802:National Capacity Building Center on Disability in Public Health,Grant/Award Number:SUBAWARD AGREEMENT#28‐21‐8814。
文摘Background:Occupational therapists can play a key role in early identifica-tion of delay at the population health level by providing education to public health employees on how to implement developmental monitoring with caregivers of children birth to age 5.Methods:A pretest posttest design was utilized to assess the online education and training that was provided to Department of Public Health employees(N=339),including Head Start,Special Supplemental Nutrition Program for Women,Infants and Children,Home Visiting,and Early Intervention.Results:Analysis of pretest‐posttest survey data showed significant results for all 12 key learning outcomes.Six out of 12 outcomes were found to have a large effect size(d>0.8),4 outcomes indicated a medium effect size(d>0.5),and 2 outcomes had a small effect size(d>0.2).Participants gained knowledge of the“Learn the Signs.Act Early.”(LTSAE)developmental monitoring program,the difference between developmental monitoring and screening,the state's referral system and age‐appropriate parental engagement activities through knowledge of child development.Conclusions:Occupational therapists are child development specialists who can provide education on developmental monitoring and activities for parental engagement.The online course proved to be an effective platform to promote LTSAE within state agencies.
基金Patricia Tucker is supported by an Early Researcher Award from the Ontario Ministry of Research and Innovation.
文摘Background:Children spend substantial time in childcare,and the reasons parents choose a particular childcare type may differ by family.However,little is known about how childcare type influences habitual(full day)activity levels among children.Therefore,exploring patterns between childcare type and habitual physical activity(PA)(i.e.,light,moderate-to-vigorous PA(MVPA),and total PA)and sedentary time(ST)in young Canadian children is needed.Methods:A nationally representative sample of preschoolers from Cycles 3 and 4 of the Canadian Health Measures Survey was used in this cross-sectional study.Childcare type(e.g.,center-based childcare,home-based childcare,home with parent,kindergarten)was reported by parents.Preschoolers wore an Actical accelerometer for 7 days.Device and population-spcific cut-points were applied to delineate PA intensities and ST.Population means and sample totals were calculated to examine average daily and hourly rates of activity.Results:Preschoolers’rates of MVPA and total PA from the 4 childcare arrangements ranged from 65.99 min/day to 74.62 min/day(5.48-6.18 min/h)and 274.20 min/day to 281.66 min/day (22.69-23.21 min/h),respectively,while ST ranged from 443.13 min/day to 460.57 min/day(36.80-37.31 min/h).No significant differences were observed in daily or hourly rates of activity.Conclusion:This study provides a snapshot of the levels of PA and ST among preschoolers in various childcare settings at a national level,with no differences observed in habitual activity levels based on childcare enrollment.Additional research is needed to clarify the relationship between young children’s PA and childcare type,with consideration given to the quality of the childcare settings.
基金supported in part by the National Natural Science Foundation of China(Grant No.5217051006)the Shandong Province Natural Science Foundation(Grant No.ZR2021ME223)+1 种基金the Yantai Science and Technology Planning Project(Grant No.2022GCCRC158)the Graduate Innovation Foundation of Yantai University,GIFYTU(Grant No.GGIFYTU2349).
文摘The accurate estimation of the remaining charge time(RCT)is essential in a battery management system(BMS),because it guarantees the safety and dependability of the power battery systems of new energy vehicles.However,the direct estimation of RCT is challenging because of the variability of actual charging scenarios and the complex charging process,which complicates the estimation of RCT in actual scenarios.Hence,this paper proposes an estimation framework based on deep learning for multi-scenario charging data to estimate the remaining charging times.Through an in-depth analysis of multi-scenario charging data,the RCT of the charging process is estimated using the temporal convolutional network(TCN)model,which has a strong generalization ability.Additionally,a dynamic learning rate(DLR)mechanism and an early stopping strategy(ES)are designed in the TCN model(DLR-ES TCN)for the nonlinear characteristics of the battery system to balance the relationship between model convergence speed and accuracy.Finally,compared with the traditional TCN model and four common deep learning models under three different scenarios,the experimental results show the mean absolute percentage error(MAPE)of the proposed method is less than 2%,indicating better accuracy and stability.This research can improve the safety monitoring of power batteries when applied to various target domains.
文摘Currently,learning early warning mainly uses two methods,student classification and performance regression,both of which have some shortcomings.The granularity of student classification is not fine enough.The performance regression gives an absolute score value,and it cannot directly show the position of a student in the class.To overcome the above shortcomings,we will focus on a rare learning early warning method-ranking prediction.We propose a dual-student performance comparison model(DSPCM)to judge the ranking relationship between a pair of students.Then,we build the model using data including class quiz scores and online behavior times and find that these two sets of features improve the Spearman correlation coefficient for the ranking prediction by 0.2986 and 0.0713,respectively.We also compare the process proposed with the method of first using a regression model to predict scores and then ranking students.The result shows that the Spearman correlation coefficient of the former is 0.1125 higher than that of the latter.This reflects the advantage of the DSPCM in ranking prediction.
