BACKGROUND Down syndrome(DS)is one of the most common causes of intellectual disability.Children with DS have varying intelligence quotient(IQ)that can predict their learning abilities.AIM To assess the brain metaboli...BACKGROUND Down syndrome(DS)is one of the most common causes of intellectual disability.Children with DS have varying intelligence quotient(IQ)that can predict their learning abilities.AIM To assess the brain metabolic profiles of children with DS and compare them to standard controls,using magnetic resonance spectroscopy(MRS)and correlating the results with IQ.METHODS This case-control study included 40 children with DS aged 6-15 years and 40 age and sex-matched healthy children as controls.MRS was used to evaluate ratios of choline/creatine(Cho/Cr),N-acetyl aspartic acid/creatine(NAA/Cr),and myoinositol/creatine(MI/Cr(in the frontal,temporal,and occipital lobes and basal ganglia and compared to controls and correlated with IQ.RESULTS Children with DS showed significant reductions in NAA/Cr and MI/Cr and a non-significant reduction in Cho/Cr in frontal lobes compared to controls.Additionally,we observed significant decreases in NAA/Cr,MI/Cr,and Cho/Cr in the temporal and occipital lobes and basal ganglia in children with DS compared to controls.Furthermore,there was a significant correlation between IQ and metabolic ratios in the brains of children with DS.CONCLUSION Brain metabolic profile could be a good predictor of IQ in children with DS.展开更多
Afamous psychologist or researcher,Daniel Goleman,gave a theory on the importance of Emotional Intelligence for the success of an individual’s life.Daniel Goleman quoted in the research that“The contribution of an i...Afamous psychologist or researcher,Daniel Goleman,gave a theory on the importance of Emotional Intelligence for the success of an individual’s life.Daniel Goleman quoted in the research that“The contribution of an individual’s Intelligence Quotient(IQ)is only 20%for their success,the remaining 80%is due to Emotional Intelligence(EQ)”.However,in the absence of a reliable technique for EQ evaluation,this factor of overall intelligence is ignored in most of the intelligence evaluation mechanisms.This research presented an analysis based on basic statistical tools along with more sophisticated deep learning tools.The proposed cross intelligence evaluation uses two different aspects which are similar,i.e.,EQ and SQ to estimate EQ by using a trained model over SQ Dataset.This presented analysis ensures the resemblance between the Emotional and Social Intelligence of an Individual.The research authenticates the results over standard statistical tools and is practically inspected by deep learning tools.Trait Emotional Intelligence Questionnaire-Short Form(TEIQue-SF)and Social IQ dataset are deployed over aMulti-layered Long-Short TermMemory(M-LSTM)based deep learning model for accessing the resemblance between EQ and SQ.The M-LSTM based trained deep learning model registered,the high positive resemblance between Emotional and Social Intelligence and concluded that the resemblance factor between these two is more than 99.84%.This much resemblance allows future researchers to calculate human emotional intelligence with the help of social intelligence.This flexibility also allows the use of Big Data available on social networks,to calculate the emotional intelligence of an individual.展开更多
Sports are a meaningful context in which many young people participate,and youth sports teams may be a viable way to promote optimal development.Sports comprises all forms of physical activities that contribute to phy...Sports are a meaningful context in which many young people participate,and youth sports teams may be a viable way to promote optimal development.Sports comprises all forms of physical activities that contribute to physical fitness,mental well-being and social interaction.Participation in sport improves the development of peer relationships,establishes the notion of trust and builds teamwork skills.The purpose of this study was to see the impact of sports participation on intelligence among boys.The present study was conducted on 300 male subjects between age group 14 and 17 years.Subjects were divided into following three groups(Group 1-Team Sports Group,Group 2-Individual Sports Group,Group 3-Non-participant Group)using a questionnaire for Sports Activity participation survey.Each group has 100 students.To assess intelligence of the selected subjects,verbal intelligence test prepared by Dr.P.Srinivasan was adopted.Appropriate tool was used to assess the parameters.The results show that majority i.e.64.7%of the subjects were found to be average intelligent and 22.7 superiorly intelligent.It was revealed that sports participation has no association withrelation to intelligence(IQ)and revealed that there was no significant effect found on intelligence level of the subjects who participated in sports as well as the non-participants.展开更多
The task of trying to quantify a person’s intelligence has been a goal of psychologists for over a century.The area of estimating IQ using stylometry has been a developing area of research and the effectiveness of us...The task of trying to quantify a person’s intelligence has been a goal of psychologists for over a century.The area of estimating IQ using stylometry has been a developing area of research and the effectiveness of using machine learning in stylometry analysis for the estimation of IQ has been demonstrated in literature whose conclusions suggest that using a large dataset could improve the quality of estimation.The unavailability of large datasets in this area of research has led to very few publications in IQ estimation from written text.In this paper,we review studies that have been done in IQ estimation and also that have been done in author profiling using stylometry and we conclude that based on the success of IQ estimation and author profiling with stylometry,a study on IQ estimation from written text using stylometry will yield good results if the right dataset is used.展开更多
文摘BACKGROUND Down syndrome(DS)is one of the most common causes of intellectual disability.Children with DS have varying intelligence quotient(IQ)that can predict their learning abilities.AIM To assess the brain metabolic profiles of children with DS and compare them to standard controls,using magnetic resonance spectroscopy(MRS)and correlating the results with IQ.METHODS This case-control study included 40 children with DS aged 6-15 years and 40 age and sex-matched healthy children as controls.MRS was used to evaluate ratios of choline/creatine(Cho/Cr),N-acetyl aspartic acid/creatine(NAA/Cr),and myoinositol/creatine(MI/Cr(in the frontal,temporal,and occipital lobes and basal ganglia and compared to controls and correlated with IQ.RESULTS Children with DS showed significant reductions in NAA/Cr and MI/Cr and a non-significant reduction in Cho/Cr in frontal lobes compared to controls.Additionally,we observed significant decreases in NAA/Cr,MI/Cr,and Cho/Cr in the temporal and occipital lobes and basal ganglia in children with DS compared to controls.Furthermore,there was a significant correlation between IQ and metabolic ratios in the brains of children with DS.CONCLUSION Brain metabolic profile could be a good predictor of IQ in children with DS.
基金Researchers would like to thank the Deanship of Scientific Research,Qassim University for funding the publication of this project.
文摘Afamous psychologist or researcher,Daniel Goleman,gave a theory on the importance of Emotional Intelligence for the success of an individual’s life.Daniel Goleman quoted in the research that“The contribution of an individual’s Intelligence Quotient(IQ)is only 20%for their success,the remaining 80%is due to Emotional Intelligence(EQ)”.However,in the absence of a reliable technique for EQ evaluation,this factor of overall intelligence is ignored in most of the intelligence evaluation mechanisms.This research presented an analysis based on basic statistical tools along with more sophisticated deep learning tools.The proposed cross intelligence evaluation uses two different aspects which are similar,i.e.,EQ and SQ to estimate EQ by using a trained model over SQ Dataset.This presented analysis ensures the resemblance between the Emotional and Social Intelligence of an Individual.The research authenticates the results over standard statistical tools and is practically inspected by deep learning tools.Trait Emotional Intelligence Questionnaire-Short Form(TEIQue-SF)and Social IQ dataset are deployed over aMulti-layered Long-Short TermMemory(M-LSTM)based deep learning model for accessing the resemblance between EQ and SQ.The M-LSTM based trained deep learning model registered,the high positive resemblance between Emotional and Social Intelligence and concluded that the resemblance factor between these two is more than 99.84%.This much resemblance allows future researchers to calculate human emotional intelligence with the help of social intelligence.This flexibility also allows the use of Big Data available on social networks,to calculate the emotional intelligence of an individual.
文摘Sports are a meaningful context in which many young people participate,and youth sports teams may be a viable way to promote optimal development.Sports comprises all forms of physical activities that contribute to physical fitness,mental well-being and social interaction.Participation in sport improves the development of peer relationships,establishes the notion of trust and builds teamwork skills.The purpose of this study was to see the impact of sports participation on intelligence among boys.The present study was conducted on 300 male subjects between age group 14 and 17 years.Subjects were divided into following three groups(Group 1-Team Sports Group,Group 2-Individual Sports Group,Group 3-Non-participant Group)using a questionnaire for Sports Activity participation survey.Each group has 100 students.To assess intelligence of the selected subjects,verbal intelligence test prepared by Dr.P.Srinivasan was adopted.Appropriate tool was used to assess the parameters.The results show that majority i.e.64.7%of the subjects were found to be average intelligent and 22.7 superiorly intelligent.It was revealed that sports participation has no association withrelation to intelligence(IQ)and revealed that there was no significant effect found on intelligence level of the subjects who participated in sports as well as the non-participants.
文摘The task of trying to quantify a person’s intelligence has been a goal of psychologists for over a century.The area of estimating IQ using stylometry has been a developing area of research and the effectiveness of using machine learning in stylometry analysis for the estimation of IQ has been demonstrated in literature whose conclusions suggest that using a large dataset could improve the quality of estimation.The unavailability of large datasets in this area of research has led to very few publications in IQ estimation from written text.In this paper,we review studies that have been done in IQ estimation and also that have been done in author profiling using stylometry and we conclude that based on the success of IQ estimation and author profiling with stylometry,a study on IQ estimation from written text using stylometry will yield good results if the right dataset is used.
