The aim of this paper is to determine the power losses recorded by a PV generator operating under partial shading conditions. These losses are evaluated through two distinct methods. The first method is based on mathe...The aim of this paper is to determine the power losses recorded by a PV generator operating under partial shading conditions. These losses are evaluated through two distinct methods. The first method is based on mathematical modeling, while the second is based on Simulink’s physical model. The losses recorded are considerable and increase as a function of the increase in the percentage of shading up to a limit value where they become constant in the case where an ideal by-pass diode is connected in parallel with the modules. This limit value is non-existent in the case where the bypass diode is not ideal, which in fact corresponds to the real model. However, it emerges that the power losses are minimized in a PV system comprising bypass diodes, in particular in the case where the partial shading is considerable.展开更多
Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a di...Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.展开更多
This research is designed to investigate the relationship between the 24-h movement guidelines(24-HMG)and self-reported academic achievement(AA)using nationally representative data derived from the 2019 U.S.National Y...This research is designed to investigate the relationship between the 24-h movement guidelines(24-HMG)and self-reported academic achievement(AA)using nationally representative data derived from the 2019 U.S.National Youth Risk Behaviour Survey.A multiple-stage cluster sampling procedure has been adopted to ensure a representative sample(N=9127 adolescents;mean age=15.7 years old;male%=49.8%).Logistic regression has been adopted to obtain the odds ratio(OR)regarding the associations between adherence to 24-HMG and AA while controlling for ethnicity,body mass index,sex and age.The prevalence of meeting the 24-h movement guidelines in isolation and combination varied greatly(physical activity=23.3%,screen time=32.5%,sleep=22.3%,and 24-HMG=2.8%),while the percentage of highest-class AA was 42.5%.Compared with the situation when none of 24-HMG is met,the achievement of any of the combined guidelines(except for meeting the physical activity guidelines)was significantly associated with higher odds of achieving first-class AA.Meeting the sleep guideline had 1.42 times increased likelihood to achieve highest-class AA as compared with not meeting the sleep guideline.Meeting screen time guidelines and physical activity guidelines,respectively,were 1.32 and 1.13 times more likely to report first-class AA;but meeting the guidelines of physical activity was not significantly related to AA.Meeting the 24-HMG had the highest odds of achieving first-class AA(OR=2.01,95%CI:1.47-2.73).In both sexes,adolescents who met 24-HMG self-reported better AA(boys OR=2.05,95%CI:1.34-3.15;girls OR=2.26,95%CI:1.36-3.76).Significant relationships were observed in adolescents from 9-10th grade,but not higher grades.Our research findings suggest that optimal movement behaviours can be seen as an important element to better academic achievement among U.S.adolescents.Future studies can adopt our discoveries to promote adolescents’academic achievement through implementing optimal 24-h movement behaviour patterns.展开更多
Background：Research has been conducted linking sports participation and health in childhood and adolescence;however,little is known about the contribution of sport to women＇s health.The purpose of this study was to ...Background：Research has been conducted linking sports participation and health in childhood and adolescence;however,little is known about the contribution of sport to women＇s health.The purpose of this study was to examine the relationship between sport and women＇s health in the USA by analyzing data from the Behavioral Risk Factor Surveillance System（BRFSS）.Methods：This study was a secondary data analysis of the 2013 national BRFSS survey.Unlike the BRFSS core component from previous years,in2013,participants were questioned extensively about their physical activity behaviors.Seventy-six different activities were identifie by the participants.Two researchers categorized the 76 activities as sport,conditioning exercise,recreation,or household tasks based on previously identifie categories.Logistic regression was utilized to calculate odds ratios and adjusted odds ratios for chronic diseases based on physical activity category.Results：Women who participated in sport had better health outcomes with significant y lower odds for all chronic diseases except asthma and better general health than women who participated in conditioning exercise,household tasks,or recreation,and many of the significan differences remained after controlling for demographic characteristics.Conclusion：Sport participation was associated with more positive health outcomes among women in the USA compared with the other categories.As a means to improve health of women,the USA could focus on efforts to increase sport participation among women.展开更多
文摘The aim of this paper is to determine the power losses recorded by a PV generator operating under partial shading conditions. These losses are evaluated through two distinct methods. The first method is based on mathematical modeling, while the second is based on Simulink’s physical model. The losses recorded are considerable and increase as a function of the increase in the percentage of shading up to a limit value where they become constant in the case where an ideal by-pass diode is connected in parallel with the modules. This limit value is non-existent in the case where the bypass diode is not ideal, which in fact corresponds to the real model. However, it emerges that the power losses are minimized in a PV system comprising bypass diodes, in particular in the case where the partial shading is considerable.
基金supported by a Grant(2021R1F1A1063634)of the Basic Science Research Program through the National Research Foundation(NRF)funded by the Ministry of Education,Republic of Korea.
文摘Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.
基金supported by the National Social Science Foundation(217BTY032)Key Project from the Social Science Foundation of Hunan Province(16ZDB015).
文摘This research is designed to investigate the relationship between the 24-h movement guidelines(24-HMG)and self-reported academic achievement(AA)using nationally representative data derived from the 2019 U.S.National Youth Risk Behaviour Survey.A multiple-stage cluster sampling procedure has been adopted to ensure a representative sample(N=9127 adolescents;mean age=15.7 years old;male%=49.8%).Logistic regression has been adopted to obtain the odds ratio(OR)regarding the associations between adherence to 24-HMG and AA while controlling for ethnicity,body mass index,sex and age.The prevalence of meeting the 24-h movement guidelines in isolation and combination varied greatly(physical activity=23.3%,screen time=32.5%,sleep=22.3%,and 24-HMG=2.8%),while the percentage of highest-class AA was 42.5%.Compared with the situation when none of 24-HMG is met,the achievement of any of the combined guidelines(except for meeting the physical activity guidelines)was significantly associated with higher odds of achieving first-class AA.Meeting the sleep guideline had 1.42 times increased likelihood to achieve highest-class AA as compared with not meeting the sleep guideline.Meeting screen time guidelines and physical activity guidelines,respectively,were 1.32 and 1.13 times more likely to report first-class AA;but meeting the guidelines of physical activity was not significantly related to AA.Meeting the 24-HMG had the highest odds of achieving first-class AA(OR=2.01,95%CI:1.47-2.73).In both sexes,adolescents who met 24-HMG self-reported better AA(boys OR=2.05,95%CI:1.34-3.15;girls OR=2.26,95%CI:1.36-3.76).Significant relationships were observed in adolescents from 9-10th grade,but not higher grades.Our research findings suggest that optimal movement behaviours can be seen as an important element to better academic achievement among U.S.adolescents.Future studies can adopt our discoveries to promote adolescents’academic achievement through implementing optimal 24-h movement behaviour patterns.
文摘Background：Research has been conducted linking sports participation and health in childhood and adolescence;however,little is known about the contribution of sport to women＇s health.The purpose of this study was to examine the relationship between sport and women＇s health in the USA by analyzing data from the Behavioral Risk Factor Surveillance System（BRFSS）.Methods：This study was a secondary data analysis of the 2013 national BRFSS survey.Unlike the BRFSS core component from previous years,in2013,participants were questioned extensively about their physical activity behaviors.Seventy-six different activities were identifie by the participants.Two researchers categorized the 76 activities as sport,conditioning exercise,recreation,or household tasks based on previously identifie categories.Logistic regression was utilized to calculate odds ratios and adjusted odds ratios for chronic diseases based on physical activity category.Results：Women who participated in sport had better health outcomes with significant y lower odds for all chronic diseases except asthma and better general health than women who participated in conditioning exercise,household tasks,or recreation,and many of the significan differences remained after controlling for demographic characteristics.Conclusion：Sport participation was associated with more positive health outcomes among women in the USA compared with the other categories.As a means to improve health of women,the USA could focus on efforts to increase sport participation among women.
