The digital technologies that run based on users’content provide a platform for users to help air their opinions on various aspects of a particular subject or product.The recommendation agents play a crucial role in ...The digital technologies that run based on users’content provide a platform for users to help air their opinions on various aspects of a particular subject or product.The recommendation agents play a crucial role in personalizing the needs of individual users.Therefore,it is essential to improve the user experience.The recommender system focuses on recommending a set of items to a user to help the decision-making process and is prevalent across e-commerce and media websites.In Context-Aware Recommender Systems(CARS),several influential and contextual variables are identified to provide an effective recommendation.A substantial trade-off is applied in context to achieve the proper accuracy and coverage required for a collaborative recommendation.The CARS will generate more recommendations utilizing adapting them to a certain contextual situation of users.However,the key issue is how contextual information is used to create good and intelligent recommender systems.This paper proposes an Artificial Neural Network(ANN)to achieve contextual recommendations based on usergenerated reviews.The ability of ANNs to learn events and make decisions based on similar events makes it effective for personalized recommendations in CARS.Thus,the most appropriate contexts in which a user should choose an item or service are achieved.This work converts every label set into a Multi-Label Classification(MLC)problem to enhance recommendations.Experimental results show that the proposed ANN performs better in the Binary Relevance(BR)Instance-Based Classifier,the BR Decision Tree,and the Multi-label SVM for Trip Advisor and LDOS-CoMoDa Dataset.Furthermore,the accuracy of the proposed ANN achieves better results by 1.1%to 6.1%compared to other existing methods.展开更多
BACKGROUND Differential diagnosis,comorbidities and overlaps with other psychiatric disorders are common among adults with autism spectrum disorder(ASD),but clinical assessments often omit screening for personality di...BACKGROUND Differential diagnosis,comorbidities and overlaps with other psychiatric disorders are common among adults with autism spectrum disorder(ASD),but clinical assessments often omit screening for personality disorders(PD),which are especially common in individuals with high-functioning ASD where there is less need for support.AIM To summarize the research findings on PD in adults with ASD and without intellectual disability,focusing on comorbidity and differential diagnosis.METHODS PubMed searches were performed using the key words“Asperger’s Syndrome”,“Autism”,“Personality”,“Personality disorder”and“comorbidity”in order to identify relevant articles published in English.Grey literature was identified through searching Google Scholar.The literature reviews and reference sections of selected papers were also examined for additional potential studies.The search was restricted to studies published up to April 2020.This review is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method.RESULTS The search found 22 studies carried out on ASD adults without intellectual disability that met the inclusion criteria:16 evaluated personality profiles or PD in ASD(comorbidity),five compared ASD and PD(differential diagnosis)and one performed both tasks.There were significant differences in the methodological Cluster A and cluster C PD are the most frequent co-occurring PD,but overlapping features should be considered.Data on differential diagnosis were only found with cluster A and cluster B PD.CONCLUSION ASD in high-functioning adults is associated with a distinct personality profile even if variability exists.Further studies are needed to explore the complex relationship between ASD and PD.展开更多
This research explains academic achievement based on the personality characteristics, the psycho-social climate of the classroom in terms of academic engagement in mathematics. The population was high schoolboys and g...This research explains academic achievement based on the personality characteristics, the psycho-social climate of the classroom in terms of academic engagement in mathematics. The population was high schoolboys and girls in Damghan city in Iran. Participants were randomly selected using a multi-stage cluster method (513 boys and girls) and they simultaneously completed three questionnaires: academic engagement, the psycho-social climate of the classroom and personality characteristics. Path analysis was used to analyze data. The results showed that the direct effects of personality characteristics and psycho-social climate of the classroom on academic achievement were not significant. The direct effects of openness, conscientiousness and psycho-social climate of classroom on academic engagement were significant. The indirect effects (with mediation of academic engagement) and overall effects of openness, conscientiousness and psycho-social climate of classroom on academic achievement were significant, also the effect of academic engagement on academic achievement was significant.展开更多
At present, how to enable Search Engine to construct user personal interest model initially, master user＇s personalized information timely and provide personalized services accurately have become the hotspot in the r...At present, how to enable Search Engine to construct user personal interest model initially, master user＇s personalized information timely and provide personalized services accurately have become the hotspot in the research of Search Engine area. Aiming at the problems of user model＇s construction and combining techniques of manual customization modeling and automatic analytical modeling, a User Interest Model （UIM） is proposed in the paper. On the basis of it, the corresponding establishment and update algorithms of User lnterest Profile （UIP） are presented subsequently. Simulation tests proved that the UIM proposed and corresponding algorithms could enhance the retrieval precision effectively and have superior adaptability.展开更多
Parkinson’s disease（PD） is an age-related neurodegenerative disease for which the characteristic motor symptoms emerge after an extensive loss of dopamine containing neurons.The cell bodies of these neurons are pre...Parkinson’s disease（PD） is an age-related neurodegenerative disease for which the characteristic motor symptoms emerge after an extensive loss of dopamine containing neurons.The cell bodies of these neurons are present in the substantia nigra,with the nerve terminals being in the striatum.Both innate and adaptive immune responses may contribute to dopaminergic neurodegeneration and disease progression is potentially linked to these.Studies in the last twenty years have indicated an important role for neuroinflammation in PD through degeneration of the nigrostriatal dopaminergic pathway.Characteristic of neuroinflammation is the activation of brain glial cells,principally microglia and astrocytes that release various soluble factors.Many of these factors are proinflammatory and neurotoxic and harmful to nigral dopaminergic neurons.Recent studies have identified several different agents with immunomodulatory properties that protected dopaminergic neurons from degeneration and death in animal models of PD.All of the agents were effective in reducing the motor deficit and alleviating dopaminergic neurotoxicity and,when measured,preventing the decrease of dopamine upon being administered therapeutically after 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine,6-hydroxydopamine,rotenone-lesioning or delivery of adeno-associated virus-α-synuclein to the ventral midbrain of animals.Some of these agents were shown to exert an anti-inflammatory action,decrease oxidative stress,and reduce lipid peroxidation products.Activation of microglia and astrocytes was also decreased,as well as infiltration of T cells into the substantia nigra.Pretreatment with fingolimod,tanshinoine I,dimethyl fumarate,thalidomide,or cocaine-and amphetamine-regulated transcript peptide as a preventive strategy ameliorated motor deficits and nigral dopaminergic neurotoxicity in brain-lesioned animals.Immunomodulatory agents could be used to treat patients with early clinical signs of the disease or potentially even prior to disease onset in those identified as having pre-disposing risk,including genetic factors.展开更多
文摘The digital technologies that run based on users’content provide a platform for users to help air their opinions on various aspects of a particular subject or product.The recommendation agents play a crucial role in personalizing the needs of individual users.Therefore,it is essential to improve the user experience.The recommender system focuses on recommending a set of items to a user to help the decision-making process and is prevalent across e-commerce and media websites.In Context-Aware Recommender Systems(CARS),several influential and contextual variables are identified to provide an effective recommendation.A substantial trade-off is applied in context to achieve the proper accuracy and coverage required for a collaborative recommendation.The CARS will generate more recommendations utilizing adapting them to a certain contextual situation of users.However,the key issue is how contextual information is used to create good and intelligent recommender systems.This paper proposes an Artificial Neural Network(ANN)to achieve contextual recommendations based on usergenerated reviews.The ability of ANNs to learn events and make decisions based on similar events makes it effective for personalized recommendations in CARS.Thus,the most appropriate contexts in which a user should choose an item or service are achieved.This work converts every label set into a Multi-Label Classification(MLC)problem to enhance recommendations.Experimental results show that the proposed ANN performs better in the Binary Relevance(BR)Instance-Based Classifier,the BR Decision Tree,and the Multi-label SVM for Trip Advisor and LDOS-CoMoDa Dataset.Furthermore,the accuracy of the proposed ANN achieves better results by 1.1%to 6.1%compared to other existing methods.
文摘BACKGROUND Differential diagnosis,comorbidities and overlaps with other psychiatric disorders are common among adults with autism spectrum disorder(ASD),but clinical assessments often omit screening for personality disorders(PD),which are especially common in individuals with high-functioning ASD where there is less need for support.AIM To summarize the research findings on PD in adults with ASD and without intellectual disability,focusing on comorbidity and differential diagnosis.METHODS PubMed searches were performed using the key words“Asperger’s Syndrome”,“Autism”,“Personality”,“Personality disorder”and“comorbidity”in order to identify relevant articles published in English.Grey literature was identified through searching Google Scholar.The literature reviews and reference sections of selected papers were also examined for additional potential studies.The search was restricted to studies published up to April 2020.This review is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method.RESULTS The search found 22 studies carried out on ASD adults without intellectual disability that met the inclusion criteria:16 evaluated personality profiles or PD in ASD(comorbidity),five compared ASD and PD(differential diagnosis)and one performed both tasks.There were significant differences in the methodological Cluster A and cluster C PD are the most frequent co-occurring PD,but overlapping features should be considered.Data on differential diagnosis were only found with cluster A and cluster B PD.CONCLUSION ASD in high-functioning adults is associated with a distinct personality profile even if variability exists.Further studies are needed to explore the complex relationship between ASD and PD.
文摘This research explains academic achievement based on the personality characteristics, the psycho-social climate of the classroom in terms of academic engagement in mathematics. The population was high schoolboys and girls in Damghan city in Iran. Participants were randomly selected using a multi-stage cluster method (513 boys and girls) and they simultaneously completed three questionnaires: academic engagement, the psycho-social climate of the classroom and personality characteristics. Path analysis was used to analyze data. The results showed that the direct effects of personality characteristics and psycho-social climate of the classroom on academic achievement were not significant. The direct effects of openness, conscientiousness and psycho-social climate of classroom on academic engagement were significant. The indirect effects (with mediation of academic engagement) and overall effects of openness, conscientiousness and psycho-social climate of classroom on academic achievement were significant, also the effect of academic engagement on academic achievement was significant.
基金Supported by the National Natural Science Foundation of China (50674086)the Doctoral Foundation of Ministry of Education of China (20060290508)the Youth Scientific Research Foundation of CUMT (0D060125)
文摘At present, how to enable Search Engine to construct user personal interest model initially, master user＇s personalized information timely and provide personalized services accurately have become the hotspot in the research of Search Engine area. Aiming at the problems of user model＇s construction and combining techniques of manual customization modeling and automatic analytical modeling, a User Interest Model （UIM） is proposed in the paper. On the basis of it, the corresponding establishment and update algorithms of User lnterest Profile （UIP） are presented subsequently. Simulation tests proved that the UIM proposed and corresponding algorithms could enhance the retrieval precision effectively and have superior adaptability.
文摘Parkinson’s disease（PD） is an age-related neurodegenerative disease for which the characteristic motor symptoms emerge after an extensive loss of dopamine containing neurons.The cell bodies of these neurons are present in the substantia nigra,with the nerve terminals being in the striatum.Both innate and adaptive immune responses may contribute to dopaminergic neurodegeneration and disease progression is potentially linked to these.Studies in the last twenty years have indicated an important role for neuroinflammation in PD through degeneration of the nigrostriatal dopaminergic pathway.Characteristic of neuroinflammation is the activation of brain glial cells,principally microglia and astrocytes that release various soluble factors.Many of these factors are proinflammatory and neurotoxic and harmful to nigral dopaminergic neurons.Recent studies have identified several different agents with immunomodulatory properties that protected dopaminergic neurons from degeneration and death in animal models of PD.All of the agents were effective in reducing the motor deficit and alleviating dopaminergic neurotoxicity and,when measured,preventing the decrease of dopamine upon being administered therapeutically after 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine,6-hydroxydopamine,rotenone-lesioning or delivery of adeno-associated virus-α-synuclein to the ventral midbrain of animals.Some of these agents were shown to exert an anti-inflammatory action,decrease oxidative stress,and reduce lipid peroxidation products.Activation of microglia and astrocytes was also decreased,as well as infiltration of T cells into the substantia nigra.Pretreatment with fingolimod,tanshinoine I,dimethyl fumarate,thalidomide,or cocaine-and amphetamine-regulated transcript peptide as a preventive strategy ameliorated motor deficits and nigral dopaminergic neurotoxicity in brain-lesioned animals.Immunomodulatory agents could be used to treat patients with early clinical signs of the disease or potentially even prior to disease onset in those identified as having pre-disposing risk,including genetic factors.
