Tabla de Contenidos: “…Locane -- Fascist World Literature from Latin America The Case of Miguel Serrano / Benjamin Loy -- GATEKEEPERS AND MEDIATORS -- What does the Gatekeeper do? / William Marling -- Agentes: el triunfo del intermediario. …”

Tabla de Contenidos: “…Pere Llambrés Martorell, Josep Llobera i Ramón, Joan Llopis Darrió, Alvar Madurell, Jaume Magrinyá i Costas, Francesc Manunta, Joep M. Marles, Maria-Carme Mases Raichs, Antoni Massanell Esclasans, Jordi Mir, Josep Miracle, Eduard Miret, Andreu Mirosa Mir, Antoni Moll i Camps, Lluis Montagut, Gabriel Mora i Arana, Salvador Moragas i Botey, Salvador Muñoz Albareda, Josep Nadal i Canals, Nuria Nel·lo, R. …”

Tabla de Contenidos: “…Concept-Level Sentiment Analysis: Reasoning With Semantics -- Conclusions -- References -- Chapter 4: Linked Data Models for Sentiment and Emotion Analysis in Social Networks -- 1. Introduction -- 2. Marl: A Vocabulary for Sentiment Annotation -- 3. …”

Tabla de Contenidos: “…Cover -- Half Title -- Title -- Copyright -- Contents -- About the Editors -- List of Contributors -- Section 1 Introduction to CR-IoV -- 1 Intelligent Transportation System in Cognitive Radio Internet of Vehicles -- 1.1 Introduction -- 1.2 Cognitive Radio in the IoV -- 1.2.1 Cognitive Radio -- 1.2.2 Cognitive Cycle -- 1.3 Applications of CR-based IoV in ITSs -- 1.3.1 Safety -- 1.3.2 Service-Oriented Applications -- 1.4 Application Requirements -- 1.4.1 Delay -- 1.4.2 Guaranteed Delivery -- 1.4.3 Bandwidth -- 1.5 Issues and Challenges -- 1.5.1 Unreliable Delivery -- 1.5.2 Dynamic Topology -- 1.5.3 Routing Overhead -- 1.5.4 Scalability -- 1.5.5 Energy -- 1.5.6 Spectral Efficiency -- 1.6 Conclusion -- References -- Section 2 Machine Learning in CR-IoV -- 2 Machine Learning Applications in CR-IoV -- 2.1 Introduction -- 2.2 Overview of ML Techniques -- 2.2.1 Categorization of ML Techniques -- 2.2.2 Supervised Learning -- 2.2.3 Distributed Training and Inference of ML Models -- 2.3 ML Challenges and Enablers in the CR-IoV -- 2.3.1 Definitions -- 2.3.2 The CR-IoV -- 2.3.3 ML in CR -- 2.3.4 ML in the IoV -- 2.3.5 Towards a ML-Enabled CR-IoV -- 2.4 ML Applications in the CR-IoV -- 2.4.1 Spectrum Sensing and Channel Allocation -- 2.4.2 Road Safety -- 2.4.3 Security Issues -- 2.5 Challenges, Issues, and Future Directions -- 2.5.1 Machine Learning-Related Challenges -- 2.5.2 State and Network Dynamics -- 2.5.3 Multi-Agent RL (MARL) in the CR-IoV -- 2.5.4 Distributed Learning and the CR-IoV -- 2.5.5 Scalability and Universality in the CR-IoV -- 2.6 Conclusion -- References -- Section 3 Protocol and Infrastructure -- 3 Machine Learning Techniques in Conjunction with Data Science Applications for CR-IoV -- 3.1 Introduction -- 3.2 The Communication of CR-IoV -- 3.3 Demand of Machine Learning and Data Science in CR-IoV…”

Tabla de Contenidos: “…Conté "Casa aterrazadas": Moshe Safdie : Habitat 67, Montreal ; Frey, Schröder, Schmidt : Brüderstrasse, Marl ; Patrick Hodgkinson : New Brunswick Center, Bloomsbury, Londres ; Hans Kammerer, Walter Belz : Trollingerweg, Waiblingen-Neustadt ; Peter Faller, Hermann Schröder : Stuttgart-Neugereut ; Georg Heirichs : Schlangenbader Strasse, Berlin-Wilmersdorf ; Baumschlager & Eberle : "Wohnen am See", Bregenzer Strasse, Bregenz ; Tadao Ando : Rokko II, Kobe -- URV…”