Impacts of cultural capital on student college choice process in China [[electronic resource] /] / Lan Gao

• Record Nr.: UNINA9910457256703321
• Autore: Gao Lan
• Pubbl/distr/stampa: Lanham, : Lexington Books, c2011
• ISBN: 1-283-21351-6; 9786613213518; 0-7391-3443-4
• Descrizione fisica: 1 online resource (225 p.)
• Collana: Emerging perspectives on education in China
• Disciplina: 378.51
• Soggetti: College choice; Universities and colleges - Admission; Educational sociology - China; Cultural relations - China; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; Figures and Tables; Chapter 1. Introduction; Chapter 2. Literature Review and Empirical Research; Chapter 3. Models of Student College Choice; Chapter 4. Social Stratification and Higher Education Opportunities in China; Chapter 5. Research Design; Chapter 6. Introduction of Wuhu and the Two High Schools; Chapter 7. Fuzhong High School Students; Chapter 8. Nancheng High School Students; Chapter 9. Cross-Case Analysis; Chapter 10. Findings, Limitations, and Implications; Appendix A. List of Universities in Project 985; Appendix B. Background Characteristics of the 14 Cases Excluded; BibliographyIndex; About the Author
• Sommario/riassunto: This study draws upon cultural capital theory and exploits 25 individual cases of students in a middle-size city in China in order to understand the patterns of college planning process of students with different socio-economic status. This study will enrich cultural capital theory by applying it to the transitional period of China in which the transformation of classes is complex and distinctive and also contribute to the understandings of the impacts of class-based cultural capital on ; student college-going behavior in China.

Eye emergencies : the practitioner's guide / / Dorothy Field, Julie Tillotson, Emma Whittingham

• Record Nr.: UNINA9910464228303321
• Autore: Field Dorothy
• Pubbl/distr/stampa: Cumbria, [England] : , : M&K Publishing, , 2015; ©2015
• ISBN: 9781907836952; 1-907830-95-2
• Edizione: [Second edition.]
• Descrizione fisica: 1 online resource (203 p.)
• Disciplina: 617.7026
• Soggetti: Ophthalmologic emergencies; Eye - Wounds and injuries; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Cover; Prelims; Contents; About this book; Chapter 1 Anatomy and physiology of the eye; Chapter 2 Initial assessment; Chapter 3 Differential diagnosis of emergency eye conditions; Chapter 4 Major accidents and injuries; Chapter 5 Non-urgent eye conditions; Chapter 6 Drugs commonly used for acute eye conditions; Chapter 7 Ophthalmic pain; Chapter 8 Concluding notes; Chapter 9 Ophthalmic procedures; Glossary of ophthalmic terms; Index
• Sommario/riassunto: The second edition of Eye Emergencies offers an excellent up-to-date resource for anyone whose work involves dealing with acute ophthalmic presentations. The authors have used the term 'practitioner' to include doctors, ophthalmic nurses, emergency care practitioners, nurse practitioners, nurses in accident and emergency departments and 'walk in' centres and first aid workers in remote locations such as oil rigs or working in the armed services. Aimed at readers with differing levels of confidence, skills and knowledge, Eye Emergencies will help all practitioners develop greater competence in

Neural Information Processing : 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part I / / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt

• Record Nr.: UNINA9910698650003321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
• ISBN: 9783031301056; 9783031301049
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (660 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 13623
• Disciplina: 006.3
• Soggetti: Pattern recognition systems; Data mining; Machine learning; Social sciences - Data processing; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Machine Learning; Computer Application in Social and Behavioral Sciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Theory and Algorithms -- Solving Partial Differential Equations using Point-based Neural Networks -- Patch Mix Augmentation with Dual Encoders for Meta-Learning -- Tacit Commitments Emergence in Multi-agent Reinforcement Learning -- Saccade Direction Information Channel -- Shared-Attribute Multi-Graph Clustering with Global Self-Attention -- Mutual Diverse-Label Adversarial Training -- Multi-Agent Hyper-Attention Policy Optimization -- Filter Pruning via Similarity Clustering for Deep Convolutional Neural Networks -- FPD: Feature Pyramid Knowledge Distillation -- An effective ensemble model related to incremental learning in neural machine translation -- Local-Global Semantic Fusion Single-shot Classification Method -- Self-Reinforcing Feedback Domain Adaptation Channel -- General Algorithm for ; Learning from Grouped Uncoupled Data and Pairwise Comparison Data -- Additional Learning for Joint Probability Distribution Matching in BiGAN -- Multi-View Self-Attention for Regression Domain Adaptation with Feature Selection -- EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields -- Partial Label learning with Gradually Induced Error-Correction Output Codes -- HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-based optimizer -- Heterogeneous Graph Representation for Knowledge Tracing -- Intuitionistic fuzzy universum support vector machine -- Support vector machine based models with sparse auto-encoder based features for classification problem -- Selectively increasing the diversity of GAN-generated samples -- Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning -- Differentiable Causal Discovery Under Heteroscedastic Noise -- IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels -- Adaptive Scaling for U-Net in Time Series Classification -- Permutation Elementary Cellular Automata: Analysis and Application of Simple Examples -- SSPR: A Skyline-Based Semantic Place Retrieval Method -- Double Regularization-based RVFL and edRVFL Networks for Sparse-Dataset Classification -- Adaptive Tabu Dropout for Regularization of Deep Neural Networks -- Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action Localization -- Nearest Neighbor Classifier with Margin Penalty for Active Learning -- Factual Error Correction in Summarization with Retriever-Reader Pipeline -- Context-adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning -- Self-attention based multi-scale graph convolutional networks -- Synesthesia Transformer with Contrastive Multimodal Learning -- Context-based Point Generation Network for Point Cloud Completion -- Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks -- DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-aware Heterogeneous Graph Transformer -- Sparse Linear Capsules for Matrix Factorization-based Collaborative Filtering -- PromptFusion: a Low-cost Prompt-based Task Composition for Multi-task Learning -- A fast and efficient algorithm for filtering the training dataset -- Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection -- IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem -- Boosting Graph Convolutional Networks With Semi-Supervised Training -- Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs -- VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning -- An Analytical Estimation of Spiking Neural Networks Energy Efficiency -- Correlation Based Semantic Transfer with Application to Domain Adaptation -- Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network -- Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction.
• Sommario/riassunto: The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep ; learning, and related fields to share their new ideas, progress, and achievements.