Tabla de Contenidos: “…Anónimo, El poeta Federico García Lorca habla de los clubs teatrales -- Pedro Massa, «Muy antiguo y muy moderno»: el poeta García-Lorca y su tragedia «Bodas de sangre» -- José Pérez Doménech, Eduardo Ugarte dice que el teatro actual es de pura receta -- Anónimo, Vilanos en el aire -- Anónimo, Vilanos en el aire -- Ambrosio Garrachón, Frente a un gran poeta -- Anónimo, Los espectadores de excepción de «El amor brujo» opinan -- Anónimo, Vilanos en el aire -- María Teresa León, El teatro internacional: música y bailes españoles -- Ricardo P. de Alcocer, La Barraca en Valencia: el Teatro Universitario -- Anónimo, Vilanos en el aire -- José Salustiano Serna, Charla amable con Federico García Lorca -- Ricardo Fernández Cabal y Francisco Pérez Herrero, Charla con Federico García Lorca -- Enrique Moreno Báez, La Barraca: entrevista con su director, Federico García Lorca -- Anónimo, Vilanos teatrales -- M., El poeta que ha estilizado los romances de plazuela -- Segunda parte. 1933-1934 -- Anónimo, «Vengo de torero herido a dar cuatro conferencias» -- Anónimo, En el Conte Grande pasaron ayer por Montevideo el actor [sic] de «Bodas de sangre» y el escenógrafo Fontanals -- Anónimo, Llegó anoche Federico García Lorca -- Pablo Suero, Crónica de un día de barco con el autor de «Bodas de sangre» -- Erre, Pasó ayer por Montevideo una de las figuras más representativas de la intelectualidad española -- Anónimo, Charlando con García Lorca -- Pablo Suero, La Barraca de García Lorca -- Alberto F. …”

Tabla de Contenidos: “…Methods Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps -- Abstract -- 1 Null Model -- 2 LUCC Budget -- 3 Quantity and Allocation Disagreement -- 4 Figure of Merit (FoM) and Complementary Producer's and User's Accuracy -- 5 Incidents and States -- 6 Intensity Analysis -- 7 Flow Matrix -- References -- 10 Validation of Soft Maps Produced by a Land Use Cover Change Model -- Abstract -- 1 Correlation -- 2 Receiver Operating Characteristic (ROC) -- 3 Difference in Potential (DiP) -- 4 Total Uncertainty, Quantity Uncertainty, Allocation Uncertainty -- References -- 11 Spatial Metrics to Validate Land Use Cover Maps -- Abstract -- 1 Spatial Metrics -- References -- 12 Advanced Pattern Analysis to Validate Land Use Cover Maps -- Abstract -- 1 Map Curves -- 2 Change on Pattern Borders -- 3 Allocation Error Distance -- References -- 13 Geographically Weighted Methods to Validate Land Use Cover Maps -- Abstract -- 1 Overall, User's and Producer's Accuracy Through GWR -- References -- Land Use Cover Datasets: A Review -- 14 Global General Land Use Cover Datasets with a Single Date -- Abstract -- 1 UMD LC Classification-University of Maryland Land Cover Classification -- 2 GLCC 2.0 Global-Global Land Cover Characterization 2.0 -- 3 GLC2000-Global Land Cover 2000 -- 4 Geo-Wiki Hybrid -- 5 LADA LUC Map-Land Degradation Assessment in Drylands -- 6 GLC-SHARE-Global Land Cover-SHARE -- 7 OSM Landuse/Landcover -- References -- 15 Global General Land Use Cover Datasets with a Time Series of Maps -- Abstract -- 1 GLASS-GLC-Global Land Surface Satellite-Global Land Cover -- 2 LC-CCI-Land Cover-Climate Change Initiative -- 3 GLC30-GlobeLand30 -- 4 GLC250-Global Land Cover 250 m -- 5 MCD12Q1-MODIS/Terra + Aqua Land Cover Type -- 6 GLCNMO-Global Land Cover by National Mapping Organization -- 7 GlobCover…”

Tabla de Contenidos: “…Part des alliances transnationales contracté es par des entreprises américaines, p... -- Figure 3.7. Alliances transnationales contractées par les États-Unis, par type -- Figure 3.8. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Introduction to Brain-Computer Interface: Applications and Challenges -- 1.1 Introduction -- 1.2 The Brain - Its Functions -- 1.3 BCI Technology -- 1.3.1 Signal Acquisition -- 1.3.1.1 Invasive Methods -- 1.3.1.2 Non-Invasive Methods -- 1.3.2 Feature Extraction -- 1.3.3 Classification -- 1.3.3.1 Types of Classifiers -- 1.4 Applications of BCI -- 1.5 Challenges Faced During Implementation of BCI -- References -- Chapter 2 Introduction: Brain-Computer Interface and Deep Learning -- 2.1 Introduction -- 2.1.1 Current Stance of P300 BCI -- 2.2 Brain-Computer Interface Cycle -- 2.3 Classification of Techniques Used for Brain-Computer Interface -- 2.3.1 Application in Mental Health -- 2.3.2 Application in Motor-Imagery -- 2.3.3 Application in Sleep Analysis -- 2.3.4 Application in Emotion Analysis -- 2.3.5 Hybrid Methodologies -- 2.3.6 Recent Notable Advancements -- 2.4 Case Study: A Hybrid EEG-fNIRS BCI -- 2.5 Conclusion, Open Issues and Future Endeavors -- References -- Chapter 3 Statistical Learning for Brain-Computer Interface -- 3.1 Introduction -- 3.1.1 Various Techniques to BCI -- 3.1.1.1 Non-Invasive -- 3.1.1.2 Semi-Invasive -- 3.1.1.3 Invasive -- 3.2 Machine Learning Techniques to BCI -- 3.2.1 Support Vector Machine (SVM) -- 3.2.2 Neural Networks -- 3.3 Deep Learning Techniques Used in BCI -- 3.3.1 Convolutional Neural Network Model (CNN) -- 3.3.2 Generative DL Models -- 3.4 Future Direction -- 3.5 Conclusion -- References -- Chapter 4 The Impact of Brain-Computer Interface on Lifestyle of Elderly People -- 4.1 Introduction -- 4.2 Diagnosing Diseases -- 4.3 Movement Control -- 4.4 IoT -- 4.5 Cognitive Science -- 4.6 Olfactory System -- 4.7 Brain-to-Brain (B2B) Communication Systems -- 4.8 Hearing -- 4.9 Diabetes -- 4.10 Urinary Incontinence -- 4.11 Conclusion -- References…”