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Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
| Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 368 p. 159 illus.) |
| Disciplina | 153 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Pattern recognition Information storage and retrieval Computers Algorithms Artificial Intelligence Information Systems Applications (incl. Internet) Pattern Recognition Information Storage and Retrieval Computation by Abstract Devices Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-49685-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain inspired cognitive systems.-Biologically inspired systems.-Cognitive neuroscience -- Models consciousness -- Neural computation. |
| Record Nr. | UNISA-996465520803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Brain Inspired Cognitive Systems : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
| Advances in Brain Inspired Cognitive Systems : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 368 p. 159 illus.) |
| Disciplina | 153 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Pattern recognition Information storage and retrieval Computers Algorithms Artificial Intelligence Information Systems Applications (incl. Internet) Pattern Recognition Information Storage and Retrieval Computation by Abstract Devices Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-49685-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain inspired cognitive systems.-Biologically inspired systems.-Cognitive neuroscience -- Models consciousness -- Neural computation. |
| Record Nr. | UNINA-9910484356803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Brain Informatics [[electronic resource] ] : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings / / edited by Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann Martone, Bo Xu, Hanchuan Peng, Qingming Luo
| Brain Informatics [[electronic resource] ] : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings / / edited by Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann Martone, Bo Xu, Hanchuan Peng, Qingming Luo |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 336 p. 100 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing User interfaces (Computer systems) Data mining Operating systems (Computers) Artificial Intelligence Pattern Recognition Image Processing and Computer Vision User Interfaces and Human Computer Interaction Data Mining and Knowledge Discovery Operating Systems |
| ISBN | 3-319-70772-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Cognitive and Computational Foundations of Brain Science -- Speech Emotion Recognition Using Local and Global Features -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Features for Speech Emotion Recognition -- 3 Results/Discussion -- 3.1 Classification Results for EMODB -- 3.2 Classification Results for RAVDESS -- 3.3 SFFS -- 4 Conclusions -- References -- Advertisement and Expectation in Lifestyle Changes: A Computational Model -- 1 Introduction -- 2 Temporal-Causal Modeling -- 3 The Computational Model -- 3.1 Graphical Representation of the Model -- 3.2 Numerical Representations and Parameters -- 4 Simulation Experiments -- 4.1 Hypotheses -- 4.2 Scenarios and Results -- 4.3 Explanation -- 5 Conclusion -- References -- A Computational Cognitive Model of Self-monitoring and Decision Making for Desire Regulation -- Abstract -- 1 Introduction -- 2 Background -- 3 Conceptual Representation of the Model -- 3.1 Desire Generation and Choosing Actions -- 3.2 Self-monitoring and Regulation Strategies -- 3.3 Numerical Representation of the Model -- 4 Simulation Results -- 5 Conclusion -- References -- Video Category Classification Using Wireless EEG -- Abstract -- 1 Introduction -- 2 Experimental Setup and Data Acquisition Techniques -- 2.1 Demographics of Subjects -- 2.2 EEG Recordings -- 2.3 Experimental Setup -- 3 Experimental Study and Findings -- 3.1 Algorithms and Methods -- 3.2 Experimental Results -- 4 Discussion -- 5 Conclusion -- References -- Learning Music Emotions via Quantum Convolutional Neural Network -- 1 Introduction -- 2 Related Work on Quantum Information -- 3 Quantum Convolutional Neural Network for Music Emotion Analysis -- 3.1 Rationale -- 3.2 Quantum Convolutional Neural Network -- 4 Experiments -- 5 Conclusions -- References.
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain -- 1 Introduction -- 2 Inverse Problem -- 3 Graph Regularized EEG Source Imaging in Transformed Domain -- 3.1 EEG Source Imaging in Transformed Domain -- 3.2 Discriminative Source Reconstruction with Graph Regularization -- 4 Optimization with ADMM Algorithm -- 5 Numerical Experiment -- 6 Conclusion -- References -- Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering -- 1 Introduction -- 2 Related Content -- 2.1 Insula Functional Parcellation Based on FMRI Data -- 2.2 Artificial Bee Colony (ABC) Algorithm -- 3 DABCC Algorithm -- 3.1 Food Source Representation -- 3.2 Initialization -- 3.3 Self-adaptive Multidimensional Search Mechanism Based on Difference Bias for Employed Bee Search -- 3.4 Algorithm Description -- 4 Experimental Results and Analysis -- 4.1 Data Description and Preprocessing -- 4.2 Evaluation Metrics -- 4.3 Search Capability -- 4.4 Parcellation Results -- 4.5 Functional Consistency -- 5 Conclusion -- References -- EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing -- 1 Introduction -- 2 Related Work -- 3 Moving Average Smoothing on Statistical Feature Set -- 3.1 Feature Extraction -- 3.2 Moving Average Smoothing on Extracted Features -- 3.3 Classification Algorithm -- 4 Emotion Recognition on DEAP Dataset -- 4.1 Experimental Setup -- 4.2 Results and Discussions -- 5 Conclusion -- References -- Human Information Processing Systems -- Stronger Activation in Widely Distributed Regions May not Compensate for an Ineffectively Connected Neural Network When Reading a Second Language -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Experimental Procedure -- 2.4 Data Acquisition -- 2.5 Data Processing -- 3 Results -- 4 Discussion. 4.1 Assimilated and Accommodated Neural Network for L2 -- 4.2 Stronger Activation but an Ineffectively Connected Neural Network -- Acknowledgments -- References -- Objects Categorization on fMRI Data: Evidences for Feature-Map Representation of Objects in Human Brain -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Subjects and fMRI Data Acquisition -- 2.2 Stimuli and Experimental Procedure -- 2.3 Data Preprocessing -- 2.4 Voxel Selection -- 2.5 SVM Method -- 3 Results -- 3.1 Classification Results for One vs. One Classifiers -- 3.2 Classification Results for One vs. Two Classifiers -- 3.3 Classification Results for Two vs. Two Classifiers -- 3.4 Classification Results for Regions Maximally Responsive to One Category of Objects -- 4 Discussion and Conclusions -- Acknowledgments -- References -- Gender Role Differences of Female College Students in Facial Expression Recognition: Evidence from N170 and VPP -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Stimuli -- 2.3 Experimental Procedure -- 2.4 Behavioral Data Analysis -- 2.5 EEG Recordings and Analysis -- 3 Results -- 3.1 Behavioral Results -- 3.2 ERP Results -- 4 Discussion -- 4.1 Gender Role Differences on Facial Expression Recognition: Evidence on Early ERP Components -- 4.2 Emotional Negativity Bias: Evidence on VPP -- 4.3 Emotion Congruency: Evidence on Behavior -- 5 Conclusion -- Acknowledgments -- References -- Brain Big Data Analytics, Curation and Management -- Overview of Acquisition Protocol in EEG Based Recognition System -- Abstract -- 1 Introduction -- 2 Signal Acquisition -- 2.1 The Noninvasive Electroencephalography Method -- 3 EEG Signal Based Recognition System -- 3.1 Relaxation -- 3.2 Motor/Non-motor Imaginary -- 3.3 Exposed to Stimuli (Evoked Potentials) -- 4 Analysis and Discussions -- 5 Conclusion -- Acknowledgments -- References. A Study on Automatic Sleep Stage Classification Based on Clustering Algorithm -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Automatic Sleep Staging Classification Algorithm Based on K-Means Clustering -- 3.1 Denoising -- 3.2 Feature Extraction and Feature Selection -- 3.3 Automatic Sleep Stage Classification Based on Improving K-Means Algorithm -- 4 Experimental Results and Analysis -- 4.1 Sleep Data Set -- 4.2 Evaluation Metrics -- 4.3 Experimental Results and Discussion -- 5 Conclusion -- References -- Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment -- 1 Introduction -- 2 Methods -- 2.1 Voice Data Acquisition and Preprocessing -- 2.2 Feature Extraction -- 2.3 Speaker Verification Architecture Based on Two-Layer GMM-UBM Model -- 3 Results -- 3.1 Evaluation Criterion -- 3.2 GMM-UBM Speaker Verification Based on Segmented Voice Data -- 3.3 GMM-UBM Speaker Verification Based on Continuous Long-Term Voice Data -- 4 Discussion -- References -- Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation -- 1 Introduction -- 2 Architecture of Emotional Recognition Model Based on Rhythm Synchronization Patterns (RSP-ERM) -- 2.1 Functions of Each Layer -- 2.2 Defining Emotional States - Class Label -- 3 Experimental Design -- 3.1 Data Description -- 3.2 Learning and Testing Process -- 3.3 Contrast Methods -- 4 Experimental Results and Discussion -- 5 Conclusions -- References -- Informatics Paradigms for Brain and Mental Health -- Patients with Major Depressive Disorder Alters Dorsal Medial Prefrontal Cortex Response to Anticipation with Different Saliences -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Task Design -- 2.3 Data Acquisition and Analysis -- 3 Results -- 3.1 Anticipation Period Findings. 3.2 The Findings of Anticipation Effect on Picture Viewing -- 4 Discussion -- Acknowledgment -- References -- Abnormal Brain Activity in ADHD: A Study of Resting-State fMRI -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Dataset -- 2.2 Image Processing -- 3 Statistics Analysis -- 4 Result -- 4.1 The Comparison of ALFF, fALFF and ReHo Between Two Groups -- 4.2 The Comparison of ALFF, fALFF and ReHo of Two Age Groups -- 5 Discussion -- Acknowledgements -- References -- Wearable EEG-Based Real-Time System for Depression Monitoring -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Making Sense of the Raw Data -- 4.1 Hardware -- 4.2 Resting EEG -- 4.3 Stimulus -- 4.4 Real-Time Signal Preprocessing -- 4.5 Feature Extraction -- 4.6 Classification -- 4.7 Visualization -- 5 Experiment -- 5.1 Participants -- 5.2 Results -- 6 Conclusions and Future Work -- References -- Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease -- 1 Introduction -- 2 Proposed Method -- 2.1 Group Guided Sparse Group Lasso Multi-task Learning -- 2.2 Optimization -- 3 Experimental Results -- 3.1 Data and Experimental Setting -- 3.2 The Results of Comparing with the Comparable Methods -- 3.3 Identification of MRI Biomarkers -- 4 Conclusions -- References -- A Novel Deep Learning Based Multi-class Classification Method for Alzheimer's Disease Detection Using Brain MRI Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Network Architecture -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusion -- References -- A Quantitative Analysis Method for Objectively Assessing the Depression Mood Status Based on Portable EEG and Self-rating Scale -- 1 Introduction -- 2 Material and Method -- 2.1 Experimental Design -- 2.2 Data Analysis -- 3 Results. 3.1 Depressive Mood Status Assessment Based on POMS-BCN Data. |
| Record Nr. | UNISA-996466446703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Brain Informatics : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings / / edited by Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann Martone, Bo Xu, Hanchuan Peng, Qingming Luo
| Brain Informatics : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings / / edited by Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann Martone, Bo Xu, Hanchuan Peng, Qingming Luo |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 336 p. 100 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing User interfaces (Computer systems) Data mining Operating systems (Computers) Artificial Intelligence Pattern Recognition Image Processing and Computer Vision User Interfaces and Human Computer Interaction Data Mining and Knowledge Discovery Operating Systems |
| ISBN | 3-319-70772-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Cognitive and Computational Foundations of Brain Science -- Speech Emotion Recognition Using Local and Global Features -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Features for Speech Emotion Recognition -- 3 Results/Discussion -- 3.1 Classification Results for EMODB -- 3.2 Classification Results for RAVDESS -- 3.3 SFFS -- 4 Conclusions -- References -- Advertisement and Expectation in Lifestyle Changes: A Computational Model -- 1 Introduction -- 2 Temporal-Causal Modeling -- 3 The Computational Model -- 3.1 Graphical Representation of the Model -- 3.2 Numerical Representations and Parameters -- 4 Simulation Experiments -- 4.1 Hypotheses -- 4.2 Scenarios and Results -- 4.3 Explanation -- 5 Conclusion -- References -- A Computational Cognitive Model of Self-monitoring and Decision Making for Desire Regulation -- Abstract -- 1 Introduction -- 2 Background -- 3 Conceptual Representation of the Model -- 3.1 Desire Generation and Choosing Actions -- 3.2 Self-monitoring and Regulation Strategies -- 3.3 Numerical Representation of the Model -- 4 Simulation Results -- 5 Conclusion -- References -- Video Category Classification Using Wireless EEG -- Abstract -- 1 Introduction -- 2 Experimental Setup and Data Acquisition Techniques -- 2.1 Demographics of Subjects -- 2.2 EEG Recordings -- 2.3 Experimental Setup -- 3 Experimental Study and Findings -- 3.1 Algorithms and Methods -- 3.2 Experimental Results -- 4 Discussion -- 5 Conclusion -- References -- Learning Music Emotions via Quantum Convolutional Neural Network -- 1 Introduction -- 2 Related Work on Quantum Information -- 3 Quantum Convolutional Neural Network for Music Emotion Analysis -- 3.1 Rationale -- 3.2 Quantum Convolutional Neural Network -- 4 Experiments -- 5 Conclusions -- References.
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain -- 1 Introduction -- 2 Inverse Problem -- 3 Graph Regularized EEG Source Imaging in Transformed Domain -- 3.1 EEG Source Imaging in Transformed Domain -- 3.2 Discriminative Source Reconstruction with Graph Regularization -- 4 Optimization with ADMM Algorithm -- 5 Numerical Experiment -- 6 Conclusion -- References -- Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering -- 1 Introduction -- 2 Related Content -- 2.1 Insula Functional Parcellation Based on FMRI Data -- 2.2 Artificial Bee Colony (ABC) Algorithm -- 3 DABCC Algorithm -- 3.1 Food Source Representation -- 3.2 Initialization -- 3.3 Self-adaptive Multidimensional Search Mechanism Based on Difference Bias for Employed Bee Search -- 3.4 Algorithm Description -- 4 Experimental Results and Analysis -- 4.1 Data Description and Preprocessing -- 4.2 Evaluation Metrics -- 4.3 Search Capability -- 4.4 Parcellation Results -- 4.5 Functional Consistency -- 5 Conclusion -- References -- EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing -- 1 Introduction -- 2 Related Work -- 3 Moving Average Smoothing on Statistical Feature Set -- 3.1 Feature Extraction -- 3.2 Moving Average Smoothing on Extracted Features -- 3.3 Classification Algorithm -- 4 Emotion Recognition on DEAP Dataset -- 4.1 Experimental Setup -- 4.2 Results and Discussions -- 5 Conclusion -- References -- Human Information Processing Systems -- Stronger Activation in Widely Distributed Regions May not Compensate for an Ineffectively Connected Neural Network When Reading a Second Language -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Experimental Procedure -- 2.4 Data Acquisition -- 2.5 Data Processing -- 3 Results -- 4 Discussion. 4.1 Assimilated and Accommodated Neural Network for L2 -- 4.2 Stronger Activation but an Ineffectively Connected Neural Network -- Acknowledgments -- References -- Objects Categorization on fMRI Data: Evidences for Feature-Map Representation of Objects in Human Brain -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Subjects and fMRI Data Acquisition -- 2.2 Stimuli and Experimental Procedure -- 2.3 Data Preprocessing -- 2.4 Voxel Selection -- 2.5 SVM Method -- 3 Results -- 3.1 Classification Results for One vs. One Classifiers -- 3.2 Classification Results for One vs. Two Classifiers -- 3.3 Classification Results for Two vs. Two Classifiers -- 3.4 Classification Results for Regions Maximally Responsive to One Category of Objects -- 4 Discussion and Conclusions -- Acknowledgments -- References -- Gender Role Differences of Female College Students in Facial Expression Recognition: Evidence from N170 and VPP -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Stimuli -- 2.3 Experimental Procedure -- 2.4 Behavioral Data Analysis -- 2.5 EEG Recordings and Analysis -- 3 Results -- 3.1 Behavioral Results -- 3.2 ERP Results -- 4 Discussion -- 4.1 Gender Role Differences on Facial Expression Recognition: Evidence on Early ERP Components -- 4.2 Emotional Negativity Bias: Evidence on VPP -- 4.3 Emotion Congruency: Evidence on Behavior -- 5 Conclusion -- Acknowledgments -- References -- Brain Big Data Analytics, Curation and Management -- Overview of Acquisition Protocol in EEG Based Recognition System -- Abstract -- 1 Introduction -- 2 Signal Acquisition -- 2.1 The Noninvasive Electroencephalography Method -- 3 EEG Signal Based Recognition System -- 3.1 Relaxation -- 3.2 Motor/Non-motor Imaginary -- 3.3 Exposed to Stimuli (Evoked Potentials) -- 4 Analysis and Discussions -- 5 Conclusion -- Acknowledgments -- References. A Study on Automatic Sleep Stage Classification Based on Clustering Algorithm -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Automatic Sleep Staging Classification Algorithm Based on K-Means Clustering -- 3.1 Denoising -- 3.2 Feature Extraction and Feature Selection -- 3.3 Automatic Sleep Stage Classification Based on Improving K-Means Algorithm -- 4 Experimental Results and Analysis -- 4.1 Sleep Data Set -- 4.2 Evaluation Metrics -- 4.3 Experimental Results and Discussion -- 5 Conclusion -- References -- Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment -- 1 Introduction -- 2 Methods -- 2.1 Voice Data Acquisition and Preprocessing -- 2.2 Feature Extraction -- 2.3 Speaker Verification Architecture Based on Two-Layer GMM-UBM Model -- 3 Results -- 3.1 Evaluation Criterion -- 3.2 GMM-UBM Speaker Verification Based on Segmented Voice Data -- 3.3 GMM-UBM Speaker Verification Based on Continuous Long-Term Voice Data -- 4 Discussion -- References -- Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation -- 1 Introduction -- 2 Architecture of Emotional Recognition Model Based on Rhythm Synchronization Patterns (RSP-ERM) -- 2.1 Functions of Each Layer -- 2.2 Defining Emotional States - Class Label -- 3 Experimental Design -- 3.1 Data Description -- 3.2 Learning and Testing Process -- 3.3 Contrast Methods -- 4 Experimental Results and Discussion -- 5 Conclusions -- References -- Informatics Paradigms for Brain and Mental Health -- Patients with Major Depressive Disorder Alters Dorsal Medial Prefrontal Cortex Response to Anticipation with Different Saliences -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Task Design -- 2.3 Data Acquisition and Analysis -- 3 Results -- 3.1 Anticipation Period Findings. 3.2 The Findings of Anticipation Effect on Picture Viewing -- 4 Discussion -- Acknowledgment -- References -- Abnormal Brain Activity in ADHD: A Study of Resting-State fMRI -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Dataset -- 2.2 Image Processing -- 3 Statistics Analysis -- 4 Result -- 4.1 The Comparison of ALFF, fALFF and ReHo Between Two Groups -- 4.2 The Comparison of ALFF, fALFF and ReHo of Two Age Groups -- 5 Discussion -- Acknowledgements -- References -- Wearable EEG-Based Real-Time System for Depression Monitoring -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Making Sense of the Raw Data -- 4.1 Hardware -- 4.2 Resting EEG -- 4.3 Stimulus -- 4.4 Real-Time Signal Preprocessing -- 4.5 Feature Extraction -- 4.6 Classification -- 4.7 Visualization -- 5 Experiment -- 5.1 Participants -- 5.2 Results -- 6 Conclusions and Future Work -- References -- Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease -- 1 Introduction -- 2 Proposed Method -- 2.1 Group Guided Sparse Group Lasso Multi-task Learning -- 2.2 Optimization -- 3 Experimental Results -- 3.1 Data and Experimental Setting -- 3.2 The Results of Comparing with the Comparable Methods -- 3.3 Identification of MRI Biomarkers -- 4 Conclusions -- References -- A Novel Deep Learning Based Multi-class Classification Method for Alzheimer's Disease Detection Using Brain MRI Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Network Architecture -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Results -- 5 Conclusion -- References -- A Quantitative Analysis Method for Objectively Assessing the Depression Mood Status Based on Portable EEG and Self-rating Scale -- 1 Introduction -- 2 Material and Method -- 2.1 Experimental Design -- 2.2 Data Analysis -- 3 Results. 3.1 Depressive Mood Status Assessment Based on POMS-BCN Data. |
| Record Nr. | UNINA-9910483404003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning
| Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning |
| Autore | Zeng Yi |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2012 |
| Descrizione fisica | 1 online resource (35 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Social Sciences
Library & Information Science Mathematics Physical Sciences & Mathematics Mathematics - General |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval and Reasoning
Web-KR 2014 |
| Record Nr. | UNINA-9910375747003321 |
Zeng Yi
|
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| [Place of publication not identified], : ACM, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trends and determinants of healthy aging in China / / edited by Yi Zeng, [and three others]
| Trends and determinants of healthy aging in China / / edited by Yi Zeng, [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (486 pages) |
| Disciplina | 780 |
| Soggetto topico | Medical policy |
| ISBN | 981-19-4154-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Part I Trends of Healthy Aging in China -- 1 Twenty Years' Follow-Up Surveys on Elder People's Health and Quality of Life -- 1.1 Introduction -- 1.2 The Ageing of China's Population and Policy Changes During the Last Two Decades -- 1.3 The Beginning of CLHLS and Sampling Design of the Survey -- 1.4 The CLHLS Questionnaire and Key Modifications Over Time -- 1.4.1 The Core Components of the CLHLS Questionnaire -- 1.4.2 Major Modifications to the CLHLS Questionnaire -- 1.5 Data Quality Assessment -- 1.6 Data Use and Publications -- References -- 2 Trends in the Impact of Socioeconomic Status on Health with Increases in Ages: Convergence or Divergence? -- 2.1 Introduction -- 2.2 Literature Review and Research Design -- 2.3 Data and Research Methods -- 2.3.1 Data -- 2.3.2 Measures -- 2.3.3 Method -- 2.4 Results -- 2.4.1 Effect of Socioeconomic Status on Health -- 2.4.2 Verification of the "Convergence Effect" and the "Divergence Effect" -- 2.5 Conclusion -- References -- 3 The Age, Gender, Urban-Rural and Regional Differences in Dynamic Changes of Activity of Daily Living Among the Chinese Oldest-Old -- 3.1 Introduction -- 3.2 Basic Information of Respondents -- 3.3 Results of the Analyses -- 3.3.1 Trends in the Oldest-Old by Each Basic Activity of Daily Living -- 3.3.2 Differences and Trends in ADL Performance by Age Groups Among Oldest-Old Respondents -- 3.3.3 Differences in ADL Performance by Gender Among Oldest-Old Respondents -- 3.3.4 Differences and Trends in ADL Performance by Urban/Rural Residence Among Oldest-Old Respondents -- 3.3.5 Differences and Trends in ADL Performance by Region (East/Central/West) Among Oldest-Old Respondents -- 3.4 Conclusion -- Reference.
4 Trends of Dynamic Changes in Activities of Daily Living, Physical Performance, Cognitive Function and Mortality Rates Among the Oldest-Old in China -- 4.1 Introduction -- 4.2 Methods -- 4.2.1 Study Design and Participants -- 4.2.2 Procedures and Variables -- 4.2.3 Statistical Analyses -- 4.2.4 Role of Funding Source -- 4.3 Results -- 4.4 Discussion -- References -- 5 Trends of Dynamic Changes of Family Support for the Chinese Oldest-Old -- 5.1 Introduction -- 5.2 Literature Review of Related Research -- 5.3 Main Data Resource and Research Methods -- 5.3.1 Data Resource -- 5.3.2 The Category of the Family Support for the Oldest-Old and Measurement -- 5.3.3 Methods -- 5.4 Changes of Family Support to the Oldest-Old in Different Time Periods -- 5.4.1 Changes in Family Support of the Oldest-Old Happened in Different Periods -- 5.4.2 The Perceived Support of the Oldest-Old in Different Periods -- 5.4.3 The Family Support Resource of the Oldest-Old in Different Periods -- 5.5 Changes of Family Support for the Oldest-Old from Different Cohorts -- 5.5.1 Change of Family Care Support for the Oldest-Old of Different Cohorts -- 5.5.2 Change of Family Support Resource for Oldest-Old of Different Cohorts -- 5.6 Conclusion -- References -- 6 Analysis of Trends of Future Home-Based Care Needs and Costs for the Elderly in China -- 6.1 Introduction -- 6.2 Methods, Data and Projection Scenarios -- 6.2.1 Methods -- 6.2.2 Data Sources and Estimates -- 6.2.3 Projection Scenarios and Parameters -- 6.3 Results -- 6.3.1 Age-Specific Trajectories of ADL Statuses Transitions and Home-Based Care Costs -- 6.3.2 Trends Under the Medium Scenario -- 6.3.3 Possible Ranges of the Trends -- 6.3.4 Resources of Care Providers Under Different Fertility Policy Scenarios -- 6.3.5 Sensitivity Analysis -- 6.4 Discussions and Policy Considerations -- 6.5 Concluding Remarks -- References. Part II Determinants of Healthy Aging -- 7 The Impact of Empty-Nested Living on Physical and Psychological Health Among Elderly -- 7.1 Introduction -- 7.2 Method, Data and Variables -- 7.2.1 Method -- 7.2.2 Data -- 7.2.3 Measurement -- 7.3 Empirical Results -- 7.3.1 The Impact of Empty-Nested Living on ADL Among Older Adults -- 7.3.2 The Impacts of Empty-Nested Living on Cognitive Function -- 7.3.3 The Heterogenous Impacts of Empty-Nested Living on Cognition -- 7.3.4 The Mechanisms Through Which Empty-Nested Living Impacts Cognition -- 7.4 Conclusion and Policy Implication -- References -- 8 Living Closer to Major Roads May Increase the Risk of Cognitive Decline -- 8.1 Introduction -- 8.2 Methods -- 8.2.1 Study Population -- 8.2.2 Residential Proximity to Major Roads -- 8.2.3 Cognitive Function Assessment -- 8.2.4 Confounders -- 8.2.5 Statistical Analysis -- 8.3 Results -- 8.3.1 Participants' Characteristics -- 8.3.2 The Relationship Between Residential Proximity to Major Roadways and Cognitive Function -- 8.3.3 Analysis of Effect Modification and Interaction -- 8.4 Discussion -- 8.5 Conclusion -- References -- 9 Self-assessment of Health and Life Satisfaction Among Older Adults -- 9.1 Background -- 9.2 Data and Methods -- 9.3 Major Findings -- 9.4 Conclusion and Discussion -- References -- 10 The Analysis on Gender Difference in Self-rated Health Among Elderly in China -- 10.1 Introduction -- 10.2 Descriptive Analysis on Gender Difference in Self-rated Health Among Elderly in China -- 10.3 Multivariate Statistical Analysis on Gender Difference in Self-rated Health Among Elderly in China -- 10.4 Decomposition Analysis on Gender Difference in Self-rated Health Among Elderly in China -- 10.5 Conclusion -- References -- 11 A Study on the Intensity of Care Needs Among the Chinese Elderly in Later Life -- 11.1 Introduction -- 11.2 Data and Method. 11.2.1 Measures -- 11.2.2 Data Analysis -- 11.3 Major Findings -- 11.3.1 Limitation in Daily Life -- 11.3.2 Intensity of Care by Limitation in Each Item of ADL -- 11.3.3 Intensity of Care by Total ADL Scores -- 11.3.4 Intensity of Care by Type of Diseases -- 11.3.5 Factors Affecting the Care Needs and Care Intensity by Multivariate Analyses -- 11.4 Discussion -- References -- 12 The Impacts of Improved Urban and Rural Medical Security Level on Health Care Utilization, Financial Burden and Health Status Among the Elderly -- 12.1 Introduction -- 12.2 Data, Variables and Descriptive Statistics -- 12.2.1 Data and Variables -- 12.2.2 Description on the Outcomes of the Elderly Covered by Medical Insurance -- 12.3 Trends in the Medical Financial Burden of the Elderly -- 12.3.1 Both Total and OOP Medical Expenditures Increased Significantly -- 12.3.2 The Share of OOP Expenses Decreased Significantly, Whereas Catastrophic Medical Expenditures Remained Heavy -- 12.3.3 Share of OOP Medical Expenditures in Household Income -- 12.4 Trends in Medical Expenditures, Utilization of Health Services, and Health Outcomes of the Elderly, by Medical Insurance Scheme -- 12.4.1 Trends in Medical Expenditures of the Elderly, by Medical Insurance Scheme -- 12.4.2 Trends in Utilization of Health Services Among the Elderly, by Insurance Type -- 12.4.3 Trends in Health Outcomes Among the Elderly, by Insurance Type -- 12.5 Empirical Models -- 12.6 Empirical Results -- 12.7 Conclusions -- Appendix -- References -- 13 The Impacts of the New Rural Pension Scheme on the Elder-Care Pattern in Rural China -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Theoretical Framework and Empirical Strategies -- 13.3.1 Theoretical Framework -- 13.3.2 Empirical Strategy -- 13.4 Data and Descriptive Statistics -- 13.4.1 Data Sources and Measures -- 13.4.2 Descriptive Statistics. 13.5 Empirical Results and Analyses -- 13.5.1 Impact of NRPS on the Elderly Support Patterns -- 13.5.2 Heterogeneity Analyses -- 13.5.3 Robustness Test -- 13.5.4 Analyses and Discussions -- 13.6 Conclusion -- References -- 14 Effects of the New Rural Society Endowment Insurance Program on Intergenerational Transfer -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Data and Variables -- 14.3.1 Data Source -- 14.3.2 Variable Definition -- 14.3.3 Descriptive Statistics -- 14.4 Models -- 14.4.1 Panel Model (Including Fixed Effect Panel and Tobit Panel) -- 14.4.2 Instrumental Variable Estimation (IV) -- 14.4.3 Propensity Score Matching with Difference-In-Difference Estimation (PSMDD) -- 14.5 Results -- 14.6 Discussions -- Appendix 1: Samples Distribution of NRSEI Pilot in the 2011 CLHLS -- Appendix 2: Balance Test of Covariates in PSMDD Analysis -- References -- 15 Impacts of Changes in Living Arrangements on Elderly Mortality Risk -- 15.1 Introduction -- 15.2 Study on the Factors Affecting the Death Risk of the Elderly -- 15.3 Data and Research Methods -- 15.3.1 Source of Data -- 15.3.2 Variable Measurement -- 15.3.3 Research Methodology -- 15.4 Results of the Analysis -- 15.5 Conclusion -- References -- 16 Analysis on Influence Factors on Mortality Risk of the Elderly with Mild Cognitive Impairment -- 16.1 Background -- 16.2 Literature Review -- 16.3 Data, Methodology and Variable Measurement -- 16.3.1 Data -- 16.3.2 Sample Selection -- 16.3.3 Variable Measurement -- 16.3.4 Methodology -- 16.4 Analysis of Research Results -- 16.4.1 Overview of the Elderly People with MCI in 2008 -- 16.4.2 Preliminary Analysis of Factors Associated with the Mortality Risk in the Elderly with MCI -- 16.4.3 Analysis of the Results of COX Regression -- 16.5 Conclusion and Discussion -- References. 17 Associations of Environmental Factors with Older Adults' Health and Mortality in China. |
| Record Nr. | UNINA-9910629296703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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