“…Learn to Fail ForwardBrand Renegades shows listeners how to develop a non-traditional success formula to disrupt and innovate their industry. Club Tattoo founders and industry disruptors Sean and Thora Dowdell share their experience as a woman-run company in the male dominated world of tattoos and piercings. …”

“…In recent years, there has been an increase in the concern of society and industries about how food and beverages are produced, the production of natural compounds as well as the concern of industries on fermentation-based processes. …”

“…Open source is a core component of successful industries, companies, and individual developers alike. …”

“…In this panel, real-world practitioners from the travel, finance, and energy industry give us an inside look at how they're applying machine learning to their industries, optimizing the use of resources and helping with decision support…”

Tabla de Contenidos: “…Fue inaugurado el año 1897 como lugar de memoria de -- Círculo Mercantil e Industrial de Castelló a principios del siglo xx. En septiembre de 1936 se llamó -- La calle González Chermá -actual calle Enmedio- era una de las arterias principales de la ciudad de…”

Tabla de Contenidos: “…ESCAPE ROOM EDUCATIVO COORDINADO ENTRE ASIGNATURAS DEL GRADO EN CIENCIA Y TECNOLOGÍA DE LOS ALIMENTOS(pp. 241-254) -- Natalia Casado, Judith Gañán, Gonzalo Martínez, Sonia Morante-Zarcero, Damián Pérez-Quintanilla and Isabel Sierra -- USO DEL ENTORNO EASY JAVA SIMULATIONS PARA LA EVALUACIÓN DE CONTENIDOS EN ASIGNATURAS DE LA RAMA DE INGENIERÍA INDUSTRIAL(pp. 255-266) -- Miguel Ángel Garrido Maneiro, Alicia Salazar López, María Teresa Gómez del Río, Claudio José Múnez Alba and Jesús Rodríguez Pérez -- DESARROLLO Y EVALUACIÓN DE COMPETENCIAS DE MANERA ACTIVA A TRAVÉS DEL PROYECTO DE APRENDIZAJE-SERVICIO: "ALIMENTARSE NO TIENE DESPERDICIO. …”

Tabla de Contenidos: “…68 -- 4.8 Creation of 3GPP2 69 -- 4.9 Harmonization Phase 69 -- 4.10 IMT-2000 Process in ITU 70 -- 4.11 Beyond 3GPP Release 99 WCDMA 70 -- 4.12 Industry Convergence with LTE and LTE-Advanced 72 -- References 73 -- 5 Radio Access Network Architecture 75 /Fabio Longoni, Atte Länsisalmi and Antti Toskala -- 5.1 Introduction 75 -- 5.2 UTRAN Architecture 78 -- 5.3 General Protocol Model for UTRAN Terrestrial Interfaces 80 -- 5.4 Iu, the UTRAN / CN Interface 81.…”

Tabla de Contenidos: “…2.3 Computer storage technologies -- 2.3.1 Punched cards - Hollerith and IBM -- 2.3.2 Punched paper tapes -- 2.3.3 Handwriting recognition -- 2.3.4 Delay line memories -- 2.3.5 Core memories -- 2.3.6 Semiconductor memories -- 2.3.7 Redundant array of Independent Memories - RAIM -- 2.3.8 Magnetic Random Access Memory - MRAM -- 2.3.9 Magnetic tapes and tape libraries -- 2.3.10 An analytical model for a tape library -- 2.3.11 Summary of a recent article on magnetic tapes -- 2.3.12 Origins of Hard Disk Drives - HDDs -- 2.3.13 HDD manufacturers -- 2.3.14 Storage technologies expected to replace disk drives -- 2.3.15 Magnetic bubble memories -- 2.3.16 Charged Couple Devices - CCDs -- 2.3.17 Micro-Electro-Mechanical Systems - MEMS -- 2.3.18 IBM Zurich millipede -- 2.3.19 Phase Change Memory - PCM -- 2.3.20 Flash memories -- 2.3.21 Companies producing flash memories -- 2.3.22 Elevating commodity storage with the SALSA host translation layer -- 2.3.23 Flash SSD versus magnetic HDD pricing -- 2.3.24 Pure Storage design of Purity -- 2.3.25 Intel/Micron 3D_XPoint Optane Memory -- 2.3.26 Processing In Memory - PIM -- 2.3.27 Universal memory technology - UltraRAM -- 2.3.28 Racetrack memory -- 2.3.29 Optical storage -- 2.3.30 Holographic memory -- 2.3.31 M-DISC and storage longevity -- 2.3.32 Persistent and NonVolatile Memory - NVM -- 2.3.33 Glass as a new storage medium -- 2.3.34 DNA based archival storage system -- 2.4 Reliability studies of DRAM, HDDs, &amp -- flash SSDs -- 2.4.1 Flash SSD reliability at Facebook, Google &amp -- NetApp -- 2.5 Storage Networking Industry Association - SNIA -- 2.5.1 Solid state storage performance -- 2.5.2 Persistent Memory Forum -- 2.5.3 Computational storage -- 2.6 Big data and its sources -- 2.7 Sources of storage content -- 2.8 Ranking and description of media companies -- 2.9 Sources of news: newspapers, radio and TV stations…”

Tabla de Contenidos: “…Introduction -- 1.1 Overview -- 1.1.1 Target audience and prerequisite knowledge -- 1.1.2 Defining asset types -- 1.1.3 Information aggregation, transformation and load -- 1.1.4 Catalog management -- 1.1.5 Content management -- 1.1.6 Catalog data propagation -- 1.1.7 Exchanging data with other systems and industry standards -- 1.1.8 Big picture architecture for catalog and content management -- 1.2 Patterns for e-business -- 1.2.1 Information Aggregation business pattern overview -- 1.2.2 Information Aggregation business general guidelines -- 1.3 Structure of the redbook -- Chapter 2. …”

Tabla de Contenidos: “…8.4 The Buckley-Leverett Theory of 1D Displacements -- 8.4.1 Horizontal Displacement -- 8.4.2 Gravity Segregation -- 8.4.3 Front Tracking: Semi-Analytical Solutions -- 9 Discretizing Hyperbolic Transport Equations -- 9.1 A New Solution Concept: Entropy-Weak Solutions -- 9.2 Conservative Finite-Volume Methods -- 9.3 Centered versus Upwind Schemes -- 9.3.1 Centered Schemes -- 9.3.2 Upwind or Godunov Schemes -- 9.3.3 Comparison of Centered and Upwind Schemes -- 9.3.4 Implicit Schemes -- 9.4 Discretization on Unstructured Polyhedral Grids -- 10 Solvers for Incompressible Immiscible Flow -- 10.1 Fluid Objects for Multiphase Flow -- 10.2 Sequential Solution Procedures -- 10.2.1 Pressure Solvers -- 10.2.2 Saturation Solvers -- 10.3 Simulation Examples -- 10.3.1 Buckley-Leverett Displacement -- 10.3.2 Inverted Gravity Column -- 10.3.3 Homogeneous Quarter Five-Spot -- 10.3.4 Heterogeneous Quarter Five-Spot: Viscous Fingering -- 10.3.5 Buoyant Migration of CO[sub(2)] in a Sloping Sandbox -- 10.3.6 Water Coning and Gravity Override -- 10.3.7 The Effect of Capillary Forces - Capillary Fringe -- 10.3.8 Norne: Simplified Simulation of a Real-Field Model -- 10.4 Numerical Errors -- 10.4.1 Splitting Errors -- 10.4.2 Grid Orientation Errors -- 11 Compressible Multiphase Flow -- 11.1 Industry-Standard Simulation -- 11.2 Two-Phase Flow without Mass Transfer -- 11.3 Three-Phase Relative Permeabilities -- 11.3.1 Relative Permeability Models from ECLIPSE 100 -- 11.3.2 Evaluating Relative Permeabilities in MRST -- 11.3.3 The SPE 1, SPE 3, and SPE 9 Benchmark Cases -- 11.3.4 A Simple Three-Phase Simulator -- 11.4 PVT Behavior of Petroleum Fluids -- 11.4.1 Phase Diagrams -- 11.4.2 Reservoir Types and Their Phase Behavior during Recovery -- 11.4.3 PVT and Fluid Properties in Black-Oil Models -- 11.5 Phase Behavior in ECLIPSE Input Decks -- 11.6 The Black-Oil Equations…”

Tabla de Contenidos: “…2.1.5.8 Genetic Algorithm-Optimization of Data Mining in Education -- 2.1.6 Advantages of Genetic Algorithms -- 2.1.7 Genetic Algorithms Demerits in the Current Era -- 2.2 Introduction to Artificial Bear Optimization (ABO) -- 2.2.1 Bear's Nasal Cavity -- 2.2.2 Artificial Bear ABO Gist Algorithm: -- Pseudo Algorithm: -- Implementation: -- 2.2.3 Implementation Based on Requirement -- 2.2.3.1 Market Place -- 2.2.3.2 Industry-Specific -- 2.2.3.3 Semi-Structured or Unstructured Data -- 2.2.4 Merits of ABO -- 2.3 Performance Evaluation -- 2.4 What is Next? …”

Tabla de Contenidos: “…Nombre de tracteurs et de machines agricoles en Roumanie, 1989-1999 -- Tableau I.18. Production de l'industrie alimentaire, 1989-1999 -- Tableau I.19. …”

Tabla de Contenidos: “…Importance des droits de douane et moyenne des taux consolidés pour l'agriculture et l'industrie -- Tableau annexe I.2. Droits de douane de base et taux consolidés pour certaines économies émergentes et pays en transition…”

Tabla de Contenidos: “…Salmelin -- 2.1 Introduction 3 -- 2.2 LTE Backhaul Planes 5 -- 2.2.1 3GPP Planes and Protocol Stacks 5 -- 2.2.2 Synchronization Plane 7 -- 2.2.3 Management Plane 9 -- 2.2.4 Active Monitoring Plane 9 -- 2.2.5 Security Control Plane 10 -- 2.2.6 Control and User Plane of Additional Proprietary Applications 10 -- 2.3 Radio Features of LTE and LTE‐A 11 -- 2.3.1 LTE 11 -- 2.3.2 LTE‐A 12 -- 2.4 R equirements for LTE Backhaul (SLAs) 17 -- 2.4.1 Capacity 17 -- 2.4.2 Latency and Loss 18 -- 2.4.3 QoS Capabilities 21 -- 2.4.4 Synchronization 21 -- 2.4.5 Availability 22 -- 2.4.6 Security 22 -- 2.4.7 Examples 23 -- 2.5 Transport Services 26 -- 2.6 Planning Problems 27 -- 2.7 LTE Backhaul Technologies 29 -- 2.7.1 Access 30 -- 2.7.2 Aggregation and Backbone Network 34 -- 2.8 Small Cell Backhaul 34 -- 2.9 Future Radio Features Affecting Backhaul 35 -- 2.9.1 Inter NodeB CoMP (eCoMP) 35 -- 2.9.2 Dual Connectivity 36 -- 2.9.3 Dynamic eICIC 38 -- 2.10 R elated Standards and Industry Forums 39 -- 2.10.1 3GPP 39 -- 2.10.2 ITU‐T SG15 40 -- 2.10.3 IEEE 802 40 -- 2.10.4 IETF 40 -- 2.10.5 MEF 40 -- 2.10.6 NGMN 41 -- 2.10.7 BBF 41 -- 2.10.8 SCF 41 -- 2.11 Operator Example 42 -- References 42 -- 3 Economic Modeling and Strategic Input for Lte Backhaul 45 / Gabriel Waller and Esa Markus Metsälä -- 3.1 Introduction 45 -- 3.1.1 Role of Backhaul Within Lte 46 -- 3.1.2 Why and What to Model 48 -- 3.2 Strategic Input for Planning 49 -- 3.2.1 Physical infrastructure 49 -- 3.2.2 Transmission media 50 -- 3.2.3 Capacity and interfaces 50 -- 3.2.4 Network technologies 51 -- 3.2.5 Network topology 51 -- 3.2.6 Make or buy 51 -- 3.2.7 Backhaul security aspects 52 -- 3.3 Quantifying benefits 53.…”

Tabla de Contenidos: “…Maheswari, Mohankumar, and Banuroopa -- 2.1 5G - An Introduction -- 2.1.1 Industry Applications -- 2.1.2 Healthcare -- 2.1.3 Retail -- 2.1.4 Agriculture -- 2.1.5 Manufacturing -- 2.1.6 Logistics -- 2.1.7 Sustainability of 5G Networks -- 2.1.8 Implementation of 5G -- 2.1.9 Architecture of 5G Technology -- 2.2 5G and AI -- 2.2.1 Gaming and Virtual Reality -- 2.3 AI and 5G -- 2.3.1 Continuous Learning AI Model -- 2.4 Challenges and Roadmap -- 2.4.1 Technical Issues -- 2.4.2 Technology Roadmap -- 2.4.3 Deployment Roadmap -- 2.5 Mathematical Models -- 2.5.1 The Insights of Mathematical Modeling in 5G Networks -- 2.6 Conclusion -- References -- 3 Sustainable Paradigm for Computing the Security of Wireless Internet of Things: Blockchain Technology Sana Zeba, Mohammed Amjad, and Danish Raza Rizvi -- 3.1 Introduction -- 3.2 Research Background -- 3.2.1 The Internet of Things -- 3.2.1.1 Security Requirements in Wireless IoT -- 3.2.1.2 Layered Architecture of Wireless IoT -- 3.2.2 Blockchain Technology -- 3.2.2.1 Types of Blockchain -- 3.2.2.2 Integration of Blockchain with Wireless Internet of Things -- 3.3 Related Work -- 3.3.1 Security Issues in Wireless IoT System -- 3.3.2 Solutions of Wireless IoT Security Problem -- 3.4 Research Methodology -- 3.5 Comparison of Various Existing Solutions -- 3.6 Discussion of Research Questions -- 3.7 Future Scope of Blockchain in IoT -- 3.8 Conclusion -- References -- 4 Cognitive IoT Based Health Monitoring Scheme Using Non-Orthogonal MultipleAccess Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider, andShakil Ahmed -- 4.1 Introduction -- 4.2 Related Work -- 4.3 System Model and Implementation -- 4.3.1 Network Description -- 4.3.2 Sensing and Transmission Analysis -- 4.3.3 Pathloss Model -- 4.3.4 Mathematical Model Evaluation -- 4.3.4.1 Effectual Throughput -- 4.3.4.2 Interference Throughput -- 4.3.4.3 Energy Efficiency -- 4.3.4.4 Optimum Power -- 4.3.4.4.1 Optimum Power Derivation for HRC -- 4.2.3.4.2 Optimum Power Derivation for MRC -- 4.4 Simulation Results -- 4.5 Conclusion -- 4.A Appendices -- 4.A.1 Proof of Optimum Power Transmission for HRC Device at EffectualState (z = 0) -- 4.A.2 Proof of Optimum Power Transmission for HRC Device inInterference State (z = 1) -- 4.A.3 Proof of Optimum Power Transmission for MRC Device at EffectualState (z = 0) -- 4.A.4 Proof of Optimum Power Transmission for MRC Device inInterference State (z = 1) -- References -- 5 Overview of Resource Management for Wireless Adhoc Network Mehajabeen Fatima and Afreen Khueaheed -- 5.1 Introduction -- 5.1.1 Wired and Wireless Network Design Approach -- 5.1.2 History -- 5.1.3 Spectrum of Wireless Adhoc Network -- 5.1.4 Enabling and Networking Technologies -- 5.1.5 Taxonomy of Wireless Adhoc Network (WANET) -- 5.2 Mobile Adhoc Network (MANET) -- 5.2.1 Introduction to MANET -- 5.2.2 Common Characteristics of MANET -- 5.2.3 Advantages and Disadvantages -- 5.2.4 Applications of MANET -- 5.2.5 Major Issues of MANET -- 5.3 Vehicular Adhoc Network (VANET) -- 5.3.1 Introduction of VANET -- 5.3.2 Common Features of VANET -- 5.3.3 Pros, Cons, Applications -- 5.4 Wireless Mesh Network (WMN) -- 5.4.1 Preface of WMN -- 5.4.2 Common Traits of WMN -- 5.4.3 WMN Has Many Open Issues and Research Challenges -- 5.4.4 Performance Metrics -- 5.4.5 Advantages and Disadvantages -- 5.4.6 Prominent Areas and Challenges of WMN -- 5.5 Wireless Sensor Network (WSN) -- 5.5.1 Overview of WSN -- 5.5.2 Common Properties of WSN -- 5.5.3 Benefits, Harms, and Usage of WSN -- 5.6 Intelligent Management in WANET -- 5.6.1 Major Issues of WANET -- 5.6.2 Challenges of MAC Protocols -- 5.6.3 Routing Protocols -- 5.6.3.1 Challenges of Routing Protocols -- 5.6.3.1.1 Scalability -- 5.6.3.1.2 Quality of Service -- 5.6.3.1.3 Security -- 5.6.4 Energy and Battery Management -- 5.7 Future Research Directions -- 5.8 Conclusion -- References -- 6 Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques Chalapathiraju Kanumuri and C.H. …”

Tabla de Contenidos: “…Les apports d'IDE en proportion des investissements fixes -- Les EPE ont stimulé l'expansion des échanges -- Le rôle des IDE dans l'industrie chinoise -- Graphique 2.3. Production industrielle des EPE -- Retombées sur l'économie nationale -- Notes -- Chapitre 3. …”

Tabla de Contenidos: “…Front Cover -- Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications -- Copyright Page -- Contents -- List of contributors -- Preface -- 1 Role of machine learning in sentiment analysis: trends, challenges, and future directions -- 1.1 Introduction -- 1.1.1 Fundamentals of sentiment analysis -- 1.1.2 Level of analysis -- 1.1.2.1 Document level -- 1.1.2.2 Sentence level -- 1.1.2.3 Aspect-level analysis -- 1.2 Related background -- 1.2.1 Lexicon-based approach -- 1.2.1.1 Dictionary-based approach -- 1.2.1.2 Corpus-based approach -- 1.2.2 Machine learning -- 1.2.2.1 Unsupervised -- 1.2.2.2 Supervised -- 1.2.2.3 Semi-supervised -- 1.2.3 Deep learning -- 1.2.4 Hybrid approach -- 1.3 Performance metrics -- 1.4 Tools for sentiment analysis -- 1.5 Trends of sentiment analysis -- 1.5.1 Social media monitoring -- 1.5.2 E-commerce -- 1.5.3 Voice of customer -- 1.5.4 Health care -- 1.5.5 Financial services -- 1.5.6 Political elections -- 1.5.7 Recommendation system -- 1.5.8 Employee retention -- 1.6 Challenges -- 1.6.1 Data gathering -- 1.6.2 Sarcasm text -- 1.6.3 Emojis -- 1.6.4 Polarity -- 1.6.5 Incomplete information -- 1.6.6 Multimodal sentiment analysis -- 1.6.7 Multilingual sentiment analysis -- 1.7 Conclusion -- 1.8 Future direction -- References -- 2 A comparative analysis of machine learning and deep learning techniques for aspect-based sentiment analysis -- 2.1 Introduction -- 2.2 Steps in sentiment analysis -- 2.2.1 Data collection -- 2.2.2 Data preprocessing -- 2.2.3 Sentiment detection -- 2.2.4 Sentiment classification -- 2.2.5 Output preparation -- 2.3 Applications of sentiment analysis -- 2.3.1 Social media -- 2.3.2 Business -- 2.3.3 Pharmaceutical industry -- 2.3.4 Politics -- 2.4 Types of sentiment analysis -- 2.5 Aspect-based sentiment analysis -- 2.5.1 Machine learning-based approaches…”