{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":3,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":77,"n_cols":5,"rows_kept":77,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[11,2,11,3],[12,2,12,3],[16,2,16,3],[19,2,19,3],[19,4,19,5],[20,2,20,3],[20,4,20,5],[21,2,21,3],[21,4,21,5],[22,2,22,3],[23,2,23,3],[24,2,24,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[38,2,38,3],[39,2,39,3],[41,2,41,3],[44,2,44,3],[44,4,44,5],[45,2,45,3],[45,4,45,5],[46,2,46,3],[47,2,47,3],[48,2,48,3],[49,2,49,3],[50,2,50,3],[51,2,51,3],[52,2,52,3],[62,2,62,3],[63,2,63,3],[67,2,67,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910463185603321"]
[null,null,"Autore",null,"Lu Xueyi"]
[null,null,"Titolo",null,"Chinese research perspectives on society . Volume 1"]
[null,null,"Pubbl/distr/stampa",null,"Leiden : , : BRILL, , 2013"]
[null,null,"ISBN",null,"90-04-24624-X"]
[null,null,"Descrizione fisica",null,"1 online resource (283 p.)"]
[null,null,"Collana",null,"Chinese research perspectives : society, , 2212-747X ; ; v. 1"]
[null,null,"Disciplina",null,"320.53230951"]
[null,null,"Soggetti",null,"Electronic books."]
[{"$nulls":4},"China Social conditions 2000-"]
[{"$nulls":4},"China Economic conditions 2000-"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Preliminary Material -- Chapter One New Stage of China’s Social Construction: Analysis and Forecast of China’s Social Development from 2010 to 2011 by the Task Group for “Analysis and Forecast on the Social Situation,\\' Chinese Academy of Social Sciences / Li Peilin , Chen Guangjin , Li Wei and Tian Feng -- Chapter Two China’s Urban and Rural Resident Income and Consumption in 2010 / Lü Qingzhe -- Chapter Three China’s Current Employment and Industrial Policy, 2011 / Mo Rong and Luo Chuanyin -- Chapter Four China’s Income Distribution and Development / Yang Yiyong and Chi Zhenhe -- Chapter Five Progress in China’s Construction of a Social Insurance System in 2011 / Wang Fayun and Li Yu -- Chapter Six China’s Educational Developments and Reform in 2010 / Yang Dongping -- Chapter Seven A Critical Phase in China’s New Health-Care Reform / Gu Xin -- Chapter Eight Employment of Post-1980s College Graduates Based on an Investigation of Graduates from Six 985 Project Universities / Li Chunling and Lü Peng -- Chapter Nine Parents’ Occupational Expectations of Primary and Junior High School Students and Influencing Factors / Deng Dasheng , He Guangxi and Zhao Yandong -- Chapter Ten Design of the Current Social Construction Framework in China / Li Peilin and Chen Guangjin -- Chapter Eleven Problems in the Urban and Rural Social Assistance System and Countermeasures in 2010 / Tang Jun and Xiu Hongfang -- Chapter Twelve Combat Corruption, Uphold Integrity, and Improve People’s Livelihood / Wen Shengtang -- Chapter Thirteen The Status of Chinese Workers in 2010: Share the Fruits of Economic Development and "]
[{"$nulls":4},"Collective Labor Rights / Qiao Jian -- Chapter Fourteen The Current Rural Situation and Farmers in China / Fan Ping -- Appendix Statistical Overview of China’s Social Development (2010) / Zhang Liping -- Index."]
[null,null,null,"Sommario/riassunto","Chinese Research Perspectives on Society , (formerly the China Society Yearbook ) Volume 1 continues the tradition of presenting precise and venerable academic principles by compiling the findings of the Chinese Academy of Social Sciences’ subject research group for the “Analysis and Forecast of the Social Situation”. The focus of the research group centered around three themes for 2010-2011. The first theme focuses on the main tasks China is undertaking during its new stage of reform and development after the recent international financial crisis. The second focus is on how to remedy the many social contradictions and challenges that are complicating the economic and social developments of China, such as the disparity between urban and rural incomes. Finally, the group addressed the new engine of China’s rapid economic and social development, urbanization, while highlighting the important national development targets of eradicating the dualistic urban and rural structure as well as integrating urban and rural development. Written by contributors from professional research and survey organizations, universities, and related governmental sections, Chinese Research Perspective on Society, Volume 1 provides an excellent resource for those interested in current societal changes in China."]
[null,"2.","Record Nr.",null,"UNINA9911046533803321"]
[null,null,"Autore",null,"Liu Qingtang"]
[null,null,"Titolo",null,"Educational Innovation Through Technology : 13th International Conference, EITT 2024, Macau, China, November 8–10, 2024, Proceedings / / edited by Qingtang Liu, Jing Lei, Liming Zhang, Yantao Wei"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"981-9515-25-4"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (413 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 2600"]
[null,null,"Disciplina",null,"371.334"]
[null,null,"Soggetti",null,"Education - Data processing"]
[{"$nulls":4},"Information visualization"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Engineering design"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Data and Information Visualization"]
[{"$nulls":4},"Computer Science"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Engineering Design"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- AI-Powered Educational Innovation.  -- Empowering Elementary School English Review Lessons with Generative AI: Constructing the RCPA Human-Machine Collaborative Teaching Model.  -- Design and Development of an LLM-empowered Arguing Pedagogical Agent with a Personalized Avatar, Movements, and Voice.  -- Student Emotion Recognition Research Based on Deep Learning Techniques: An Example of Primary and Secondary School Classrooms.  -- The Influence of GAI on the Development of Students’ Higher-Order Thinking Ability: Meta-Analysis Based on Relevant Empirical Studies at Home and Abroad Since 2022.  -- Design of Knowledge Graph Solutions to Enhance Resilience in STEM Education.  -- Understanding College Students' AI Literacy in Course Essays: A Topic Modeling-Based Method.  -- Emotion Recognition for Learners Based on Facial Expressions and BVP Signals.  "]
[{"$nulls":4},"-- Making AI Forget You: Removing Educational Data from Intelligent Education Models.  -- A Low-consumption Teaching Role Recognition Method for Teaching Analysis.  -- Open Management of Research-oriented Laboratories in Universities Based on an “AI for Science” Paradigm.  -- Tech-Enhanced Curriculum & Teaching InnovationsSTE.  -- STEM, Cultural Heritage, and Junior High School Labor Curriculum: An Example of the 3-way Luban Lock C-STEAM Project.  -- LIDT Framework and Implementation of Life-Oriented Instructional Design for Preschool Children’s Scientific Activities Empowered by Digital Intelligence Technology.  -- A Practical Study of AR Technology-enabled Children's Immersion Learning.  -- Research on the Construction and Application of a Multi-agent Collaborative Digital Volunteer Education Model.  -- Can Information Technology Bridge Cultural Differencesc? Design and Effectiveness Analysis of COIL Based on Intercultural Communication.  -- Design, Implementation, and Application of a 3-D Virtual Simulation Visualization Experiment System for Camera Calibration.  -- AI-driven Learning Analytics & Assessment.  -- Optimizing the Assessment System of Integrated Course Design through Causal Inference.  -- Evaluation and Continuous Improvement of Graduation Design Based on Causal Inference.  -- Assessment of an AI-Assisted Power Supply Experiment Design Based on Causal Inference.  -- A Measurement Method of Knowledge Contribution by Learners During a Design Process.  -- Investigating How Self-Recording and Playback Influence Music Students’ Self-Assessment.  -- Exploring the Influencing Factors of Pupil Gratification towards Elementary School Library Services: A TAM-Based Study.  -- What Characteristics of Social Media Make Teachers' Learning and Training Effective.  -- Undersea Adventure (UA): A Stealth Approach to Collaborative Skills Assessment in Schools."]
[null,null,null,"Sommario/riassunto","The volume CCIS 2600 constitutes the refereed post-conference proceedings of the 13th International Conference of Educational Innovation through Technology, EITT 2024, Macau, China, during November 8–10, 2024. The 17 revised full papers and 7 short papers presented in these proceedings were carefully reviewed and selected from 78 submissions. The papers are organized in the following topical sections: AI-Powered Educational Innovation, Tech-Enhanced Curriculum & Teaching Innovations, and AI-driven Learning Analytics & Assessment."]
[null,"3.","Record Nr.",null,"UNINA9910481965403321"]
[null,null,"Titolo",null,"MultiMedia Modeling : 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I / / edited by Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-27671-9"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIV, 927 p. 354 illus. in color.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 9516"]
[null,null,"Disciplina",null,"006.7"]
[null,null,"Soggetti",null,"Multimedia systems"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Multimedia Information Systems"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Regular Papers -- Video Event Detection Using Kernel Support Vector Machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU) -- 1 Introduction -- 2 Related Work -- 3 Kernel SVM-iGSU -- 3.1 Overview of LSVM-iGSU -- 3.2 Kernelizing LSVM-iGSU (KSVM-iGSU) -- 3.3 Relevance Degree KSVM-iGSU -- 4 Experiments and Results -- 4.1 Dataset and Evaluation Measures -- 4.2 Video Representation and Uncertainty -- 4.3 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Video Content Representation Using Recurring Regions Detection -- 1 Introduction -- 2 Related Work -- 3 Recurring Region Detection -- 3.1 Region Detection and Representation -- 3.2 Tracking, Shot-Track Representation, and Merging -- 3.3 Shot-Track Matching and Video-Track Merging -- 4 Evaluation -- 4.1 Dataset -- 4.2 Quantitative "]
[{"$nulls":4},"Evaluation -- 4.3 Qualitative Evaluation -- 5 Conclusion -- References -- Group Feature Selection for Audio-Based Video Genre Classification -- 1 Introduction -- 2 Feature Selection -- 3 Evaluation Setup -- 3.1 Audio Features -- 3.2 Datasets -- 3.3 Data Preprocessing -- 3.4 Classification -- 3.5 Performance Metrics -- 4 Experimental Results -- 4.1 Classification Performance -- 4.2 Feature Analysis -- 5 Conclusion -- References -- Computational Cartoonist: A Comic-Style Video Summarization System for Anime Films -- 1 Introduction -- 2 Related Work -- 3 Comic-Style Video Summarization -- 3.1 Shot Transition Detection -- 3.2 Key Frame Detection -- 3.3 Comic Layout -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- Exploring the Long Tail of Social Media Tags -- 1 Introduction -- 2 Related Work -- 3 What Tags Constitute the Long Tail? -- 4 Utilizing the Long Tail -- 4.1 Augmenting Rare Tags -- 4.2 Tag Relevance -- 4.3 Learning Detectors."]
[{"$nulls":4},"5 Conclusions -- References -- Visual Analyses of Music Download History: User Studies -- 1 Introduction -- 2 Related Work -- 3 Visualization Design -- 4 User Studies -- 4.1 Implementation -- 4.2 Participants -- 4.3 Tasks -- 4.4 Results -- 4.5 Discussion -- 5 Conclusions -- References -- Personalized Annotation for Mobile Photos Based on User's Social Circle -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Label Generation -- 3.2 Label Propagation -- 4 Experiment -- 4.1 DataSet -- 4.2 Evaluation of Album -- 4.3 Evaluation of Tag Generation -- 4.4 Evaluation of Personalized Annotation -- 5 Conclusion -- References -- Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs -- 1 Introduction -- 2 Related Work -- 3 Sensor-Social-Based OOI Recognition -- 3.1 OOI Acquisition from UGVs -- 3.2 Classified Object Set Recommendation -- 3.3 OOI Description and Recognition -- 4 Experimental Results and Analysis -- 4.1 Dataset and Experimental Setup -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Scheduling Problem and Solution -- 5 Simulations and Results -- 6 Conclusions -- References -- Computational Face Reader -- 1 Introduction -- 2 Related Work -- 2.1 Face Reading -- 2.2 Deep Convolutional Neural Network -- 3 Overview of Our Framework -- 4 Dataset Preparation and Library Construction -- 5 Deep Networks with Facial Region Pooling -- 5.1 Architecture -- 5.2 Training the Network -- 6 Experiments -- 6.1 Evaluation of Facial Attribute Estimation -- 6.2 Evaluation of Face Reading -- 7 Conclusions and Future Work -- References -- Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine -- 1 Introduction."]
[{"$nulls":4},"2 The Proposed Method -- 2.1 Feature and Facial Events Extraction -- 2.2 Posed and Spontaneous Expression Modeling Using RBM -- 3 Experiments and Analysis -- 3.1 Experimental Conditions -- 3.2 Experimental Results and Analysis -- 3.3 Comparison with Other Methods -- 4 Conclusion and Future Works -- References -- DFRS: A Large-Scale Distributed Fingerprint Recognition System Based on Redis -- 1 Introduction -- 2 Background -- 2.1 Redis -- 2.2 Fingerprint Feature -- 2.3 Fingerprint Recognition -- 3 DFRS -- 3.1 System Architecture -- 3.2 Encoding and Decoding -- 3.3 Process of Fingerprint Recognition -- 3.4 Match Strategy Based on Quick-Return -- 4 Evaluation -- 4.1 Experiment Environment -- 4.2 Performance of Encoding and Decoding -- 4.3 Analytical Evaluation for Matching Method -- 4.4 Evaluation for Quick-Return -- 5 Conclusion and Future Work -- References -- Logo Recognition via Improved Topological "]
[{"$nulls":4},"Constraint -- 1 Introduction -- 2 Improved Topological Constraint -- 3 Logo Recognition -- 3.1 Feature Selection -- 3.2 Recognition -- 4 Experiments -- 4.1 Impact of Parameters -- 4.2 FlickrLogos-32 Dataset -- 4.3 FlickrLogos-27 Dataset -- 5 Conclusion -- References -- Compound Figure Separation Combining Edge and Band Separator Detection -- 1 Introduction -- 2 Related Work and Context -- 3 Proposed Algorithm -- 3.1 Illustration Classifier -- 3.2 Recursive Algorithm -- 3.3 Edge-Based Separator Detection -- 3.4 Band-Based Separator Detection -- 4 Parameter Optimization -- 5 Evaluation -- 5.1 Evaluation on ImageCLEF Dataset -- 5.2 Evaluation on NLM Dataset -- 5.3 Illustration Classifier Accuracy -- 6 Conclusion and Further Work -- References -- Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations -- 1 Introduction -- 2 Observations -- 3 Our Approach -- 3.1 Problem Definition."]
[{"$nulls":4},"3.2 Probabilistic Model with Spatial-Temporal Constraint -- 3.3 Optimization with Multiple Camera Relations -- 4 Experiments -- 4.1 Baselines -- 4.2 TMin Data Set -- 4.3 CamNeT -- 4.4 Running Time -- 5 Conclusion -- References -- Global Contrast Based Salient Region Boundary Sampling for Action Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Improved Dense Trajectories -- 2.2 Motion Boundary Based Sampling -- 3 Our Approach -- 3.1 Global Contrast Based Salient Region Sampling -- 3.2 Optimization with Salient Region Boundary -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Elastic Edge Boxes for Object Proposal on RGB-D Images -- 1 Introduction -- 2 Related Work -- 3 Elastic Edge Boxes -- 3.1 Initial Bounding Boxes Generation -- 3.2 Elastic Range Determination -- 3.3 Bounding Box Adjustment -- 4 Experiments -- 4.1 Dataset Construction -- 4.2 Performance Evaluation -- 5 Conclusions -- References -- Pairing Contour Fragments for Object Recognition -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Contour Fragment Pairs -- 3.1 Matching Energy -- 3.2 Pairing Algorithm -- 3.3 Learning Subspace for CFPs -- 4 Recognition Algorithm -- 4.1 Learning Weak Classifiers Based on CFPs -- 4.2 Voting Boundaries and Foregrounds -- 5 Experiments -- 5.1 Experiments on Weizmann Horses Dataset -- 5.2 Experiments on ETHZ Shape Dataset -- 6 Conclusion and Future Works -- References -- Instance Search with Weak Geometric Correlation Consistency -- 1 Introduction -- 2 Related Work -- 3 Weak Geometric Correlation Consistency -- 3.1 Motivation -- 3.2 Implementation -- 3.3 Computational Complexity -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Protocol -- 4.3 Experiment Settings -- 5 Results and Discussion -- 6 Conclusion -- References."]
[{"$nulls":4},"Videopedia: Lecture Video Recommendation for Educational Blogs Using Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Dataset Used for Recommendation -- 3.2 Extracting Video Content -- 3.3 Extracting Webpage Content -- 3.4 Processing the Extracted Text -- 3.5 Topic Modeling -- 3.6 Definition of Similarity Matching -- 3.7 Algorithm for Video Recommendation -- 4 Experimental Results -- 4.1 Baselines Used for Comparison -- 4.2 Evaluation of Recommendation -- 5 Conclusions -- References -- Towards Training-Free Refinement for Semantic Indexing of Visual Media -- 1 Introduction -- 2 Related Work -- 3 Motivation and Proposed Solution -- 4 Training-Free Refinement (TFR) -- 4.1 Factorizing Detection Results -- 4.2 Integration with Ontologies -- 4.3 Temporal Neighbourhood-Based Propagation -- 5 Experiments and Discussion -- 5.1 Evaluation on Wearable Camera Images (Dataset1) -- 5.2 Evaluation on TRECVid Video (Dataset2) -- 5.3 Efficiency Analysis "]
[{"$nulls":4},"of TFR -- 6 Conclusions -- References -- Deep Learning Generic Features for Cross-Media Retrieval -- 1 Introduction -- 2 Related Work -- 3 Deep Learning Generic Features -- 3.1 Layer-Wise Pre-training -- 3.2 Overall Fine-Tuning -- 3.3 Cross-Media Retrieval -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusions -- References -- Cross-Media Retrieval via Semantic Entity Projection -- 1 Introduction -- 2 Related Works -- 3 Our Approach -- 3.1 Entity Level Construction -- 3.2 Entity Projection Learning -- 3.3 Semantic Abstraction Generation -- 4 Experimental Evaluation -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Experimental Results -- 5 Conclusions -- References -- Visual Re-ranking Through Greedy Selection and Rank Fusion -- 1 Introduction -- 2 Effective Visual Re-ranking -- 2.1 Informative Feature Extraction -- 2.2 Label De-noising."]
[{"$nulls":4},"2.3 Graph-Based Re-ranking."]
[null,null,null,"Sommario/riassunto","The two-volume set LNCS 9516 and LNCS 9517 constitutes the refereed proceedings of the 22nd International Conference on Multimedia Modeling, MMM 2016, held in Miami, FL, USA, in January 2016. The 32 revised full papers and 52 poster papers presented were carefully reviewed and selected from 117 submissions. In addition 20 papers were accepted for five special sessions out of 38 submissions as well as 7 demonstrations (from 11 submissions) and 9 video showcase papers. The papers are organized in topical sections on video content analysis, social media analysis, object recognition and system, multimedia retrieval and ranking, multimedia representation, machine learning in multimedia, and interaction and mobile. The special sessions are: good practices in multimedia modeling; semantics discovery from multimedia big data; perception, aesthetics, and emotion in multimedia quality modeling; multimodal learning and computing for human activity understanding; and perspectives on multimedia analytics."]