Traffic accident data analysis and reasoning are crucial for accident prevention and control.Constructing an accident knowledge graph from hybrid datasets of Chinese and English accidents is a valuable task.However,it...Traffic accident data analysis and reasoning are crucial for accident prevention and control.Constructing an accident knowledge graph from hybrid datasets of Chinese and English accidents is a valuable task.However,it is challenging due to the need to consider multiple perspectives and infer implicit relationships between actors and factors in complex traffic accidents.To address these challenges,this paper proposes an accident learning attention embeddings based multi-view accident knowledge graph for traffic accident reasoning named BrightAccidentGraph.First,this paper proposes a multi-source traffic accident dataset construction and preprocessing method for traffic accident judgement records published by the China Judgement Document Network and traffic accident records published by the UK’s Ministry of Transport.Then,traffic accident graph construction and portrait method is proposed,we demonstrate the efficiency of the proposed method by constructing several multi-view traffic accident portraits using a multi-source dataset.Furthermore,accident learning attention embeddings based multi-view accident knowledge graph construction and traffic accident reasoning method using deep learning are introduced.Experiments on two hybrid datasets verify the efficiency and merits of our method.展开更多
OBJECTIVE:To evaluate school success in pediatric patients undergoing acupuncture treatment for variousindications.METHODS: The grades achieved during both school terms by children undergoing acupuncture treatment for...OBJECTIVE:To evaluate school success in pediatric patients undergoing acupuncture treatment for variousindications.METHODS: The grades achieved during both school terms by children undergoing acupuncture treatment for various indications at the pediatric out patient clinic of Ulus State Hospital were analyzed. Exam grades in mathematics, social studies,and Turkish was compared between the first and the second terms. Forty children were included in thestudy,with 22 male and 18 female,and their average age was 11.1 years. These patients were undergoing acupuncture treatment for attention deficit-hyperactivity disorder(ADHD), enuresis nocturna, migraine, obesity, atopic dermatitis, alopecia areata, and Tourette's syndrome. Treatments were done at the beginning of the second term. Four of the 25 patients with ADHD had borderline intelligence quotients.The report cards of all 40 patients were examined, and their grades in the first and these condschool term were compared.RESULTS: There was a statistically significant increase in the grades obtained in mathematics, social studies, and Turkish(P<0.005) by the students from the first to the second school term. When 4 ADHD patients with borderline deficiency in intelligence were excluded, and the grades among the 21 patients with ADHD were compared for both terms, there was also a statistically significant increase in mathematics, social studies, and Turkish grades(P<0.05).CONCLUSION: Acupuncture contributed to the academic success of the children who under went acupuncture treatment for their primary symptoms.展开更多
Background Children with nonverbal learning disabilities (NLD) usually manifest defective attention function This study sought to investigate the neuropsychological characteristics of selective attention, such as atte...Background Children with nonverbal learning disabilities (NLD) usually manifest defective attention function This study sought to investigate the neuropsychological characteristics of selective attention, such as attention control, working memory, and attention persistence of the frontal lobe in children with NLD Methods Using the auditory detection test (ADT), Wisconsin card sorting test (WCST), and C WISC, 27 children with NLD and 33 normal children in the control group were tested, and the results of C WISC subtests were analyzed with factor analysis Results Compared with the control group, the correct response rate in the auditory detection test in the NLD group was much lower ( P <0 01), and the number of incorrect responses was much higher ( P <0 01); NLD children also scored lower in WCST categories achieved (CA) and perseverative errors (PE) ( P <0 05) Factor analysis showed that perceptual organization (PO) related to visual space and freedom from distractibility (FD) relating to attention persistence in the NLD group were obviously lower than in the control group ( P <0 01) Conclusions Children with NLD have attention control disorder and working memory disorder mainly in the frontal lobe We believe that the disorder is particularly prominent in the right frontal lobe展开更多
基金supported by the Key Project of College-bureau Cooperation of Beijing Police College(No.2022KXJ12)the Key Project of Ministry of Public Security Police Equipment R&D Program(No.2023ZB12)+3 种基金the National Key R&D Program of China(No.2022YFB2703500)the Opening Project of Key Laboratory of Evidence Science(China University of Political Science and Law),the Ministry of Education(No.2022KFKT09)the National Natural Science Foundation of China(No.62272026)the Beijing University of Aeronautics and Astronautics teaching and research projects“Research on teaching methods of research methods course driven by process-based practice ability training”and“Research on teaching methods of introduction to mobile computing driven by practice ability training”.
文摘Traffic accident data analysis and reasoning are crucial for accident prevention and control.Constructing an accident knowledge graph from hybrid datasets of Chinese and English accidents is a valuable task.However,it is challenging due to the need to consider multiple perspectives and infer implicit relationships between actors and factors in complex traffic accidents.To address these challenges,this paper proposes an accident learning attention embeddings based multi-view accident knowledge graph for traffic accident reasoning named BrightAccidentGraph.First,this paper proposes a multi-source traffic accident dataset construction and preprocessing method for traffic accident judgement records published by the China Judgement Document Network and traffic accident records published by the UK’s Ministry of Transport.Then,traffic accident graph construction and portrait method is proposed,we demonstrate the efficiency of the proposed method by constructing several multi-view traffic accident portraits using a multi-source dataset.Furthermore,accident learning attention embeddings based multi-view accident knowledge graph construction and traffic accident reasoning method using deep learning are introduced.Experiments on two hybrid datasets verify the efficiency and merits of our method.
文摘OBJECTIVE:To evaluate school success in pediatric patients undergoing acupuncture treatment for variousindications.METHODS: The grades achieved during both school terms by children undergoing acupuncture treatment for various indications at the pediatric out patient clinic of Ulus State Hospital were analyzed. Exam grades in mathematics, social studies,and Turkish was compared between the first and the second terms. Forty children were included in thestudy,with 22 male and 18 female,and their average age was 11.1 years. These patients were undergoing acupuncture treatment for attention deficit-hyperactivity disorder(ADHD), enuresis nocturna, migraine, obesity, atopic dermatitis, alopecia areata, and Tourette's syndrome. Treatments were done at the beginning of the second term. Four of the 25 patients with ADHD had borderline intelligence quotients.The report cards of all 40 patients were examined, and their grades in the first and these condschool term were compared.RESULTS: There was a statistically significant increase in the grades obtained in mathematics, social studies, and Turkish(P<0.005) by the students from the first to the second school term. When 4 ADHD patients with borderline deficiency in intelligence were excluded, and the grades among the 21 patients with ADHD were compared for both terms, there was also a statistically significant increase in mathematics, social studies, and Turkish grades(P<0.05).CONCLUSION: Acupuncture contributed to the academic success of the children who under went acupuncture treatment for their primary symptoms.
文摘Background Children with nonverbal learning disabilities (NLD) usually manifest defective attention function This study sought to investigate the neuropsychological characteristics of selective attention, such as attention control, working memory, and attention persistence of the frontal lobe in children with NLD Methods Using the auditory detection test (ADT), Wisconsin card sorting test (WCST), and C WISC, 27 children with NLD and 33 normal children in the control group were tested, and the results of C WISC subtests were analyzed with factor analysis Results Compared with the control group, the correct response rate in the auditory detection test in the NLD group was much lower ( P <0 01), and the number of incorrect responses was much higher ( P <0 01); NLD children also scored lower in WCST categories achieved (CA) and perseverative errors (PE) ( P <0 05) Factor analysis showed that perceptual organization (PO) related to visual space and freedom from distractibility (FD) relating to attention persistence in the NLD group were obviously lower than in the control group ( P <0 01) Conclusions Children with NLD have attention control disorder and working memory disorder mainly in the frontal lobe We believe that the disorder is particularly prominent in the right frontal lobe
