Tabla de Contenidos: “…Comparaison de la répartition par niveau de qualification des étrangers entrants/sortants du marché du travail entre 1994 et 2002, avec celle des actifs nationaux et étrangers en 1994, quelques pays de l'OCDE -- Graphique I.11. …”

Tabla de Contenidos: “…La pauvreté chez les enfants -- Graphique : Pauvreté des enfants comparée à celle des adultes sur trois ans -- B. Dynamique à court terme -- Taux d'entrée et de sortie -- Graphique 2.3. …”

Tabla de Contenidos: “…Les importations de graines et d'huiles oléagineuses augmentent mais celles de tourteaux stagnent -- Graphique III.2.1.3. …”

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: “…Front Cover -- Multicore and GPU Programming: An Integrated Approach -- Copyright -- Dedication -- Contents -- List of Tables -- Preface -- What Is in This Book -- Using This Book as a Textbook -- Software and Hardware Requirements -- Sample Code -- Chapter 1: Introduction -- 1.1 The era of multicore machines -- 1.2 A taxonomy of parallel machines -- 1.3 A glimpse of contemporary computing machines -- 1.3.1 The cell BE processor -- 1.3.2 Nvidia's Kepler -- 1.3.3 AMD's APUs -- 1.3.4 Multicore to many-core: tilera's TILE-Gx8072 and intel's xeon phi -- 1.4 Performance metrics -- 1.5 Predicting and measuring parallel program performance -- 1.5.1 Amdahl's law -- 1.5.2 Gustafson-barsis's rebuttal -- Exercises -- Chapter 2: Multicore and parallel program design -- 2.1 Introduction -- 2.2 The PCAM methodology -- 2.3 Decomposition patterns -- 2.3.1 Task parallelism -- 2.3.2 Divide-and-conquer decomposition -- 2.3.3 Geometric decomposition -- 2.3.4 Recursive data decomposition -- 2.3.5 Pipeline decomposition -- 2.3.6 Event-based coordination decomposition -- 2.4 Program structure patterns -- 2.4.1 Single-program, multiple-data -- 2.4.2 Multiple-program, multiple-data -- 2.4.3 Master-worker -- 2.4.4 Map-reduce -- 2.4.5 Fork/join -- 2.4.6 Loop parallelism -- 2.5 Matching decomposition patterns with program structure patterns -- Exercises -- Chapter 3: Shared-memory programming: threads -- 3.1 Introduction -- 3.2 Threads -- 3.2.1 What is a thread? …”

Tabla de Contenidos: “…LTE/LTE-Advanced in Unlicensed Bands: The QoS Viewpoint 160 -- 5.6 The ITU’s IMT-2020 162 -- 5.7 QoS in 5G Mobile Ultra-Broadband 165 -- 5.7.1 5G QoS Control and Rules 168 -- 5.7.2 5G QoS Flow Mapping 168 -- 5.8 Mobile Broadband Spectrum Management and QoS 170 -- 5.9 Very Small Cell Deployments and Impact on QoS 172 -- 5.10 Business and Regulation Aspects for Mobile Ultra-Broadband 174 -- 5.10.1 Business Aspects 174 -- 5.10.2 Regulation Aspects 176 -- References 177 -- 6 Services in Fixed and Mobile Ultra-Broadband 179 -- 6.1 QoS-enabled VoIP Services 179 -- 6.1.1 NGN Provision of VoIP Services 180 -- 6.1.2 Discussion on Telecom Operator vs. …”

Tabla de Contenidos: “…-- 11.4 Models -- 11.5 Uses of Clustering -- 11.5.1 In Character of Most Tumor Cells -- 11.5.2 In Web Crawlers Like Google -- 11.5.3 Shopper Segmentation -- 11.5.4 In Biology -- 11.5.5 In Land Use -- 11.6 Bunching Algorithms or Clustering Algorithms -- 11.6.1 K-Means Clustering -- 11.6.2 Mean-Shift Clustering -- 11.6.3 Thickness or Density-Based Spatial Clustering of Application with Noise (DBSCAN) -- 11.6.4 Assumption Maximization Clustering Utilizing Gaussian Combination Models -- 11.6.5 Agglomerative Hierarchical Clustering -- 11.7 Instances of Clustering Algorithms -- 11.7.1 Library Setup -- 11.7.2 Grouping or Clustering Dataset -- 11.7.3 Fondness or Affinity Propagation -- 11.7.4 Agglomerative Clustering -- 11.7.5 BIRCH -- 11.7.6 DBSCAN -- 11.7.7 K-Means -- 11.7.8 Mini-Batch K-Means -- 11.7.9 Mean Shift -- 11.7.10 OPTICS -- 11.7.11 Unearthly or Spectral Clustering -- 11.7.12 Gaussian Mixture Model -- 11.8 Python Implementation of K-Means -- 11.8.1 Stacking the Data -- 11.8.2 Plotting the Information -- 11.8.3 Choosing the Component -- 11.8.4 Clustering -- 11.8.5 Clustering Results -- 11.8.6 WCSS and Elbow Technique -- 11.8.7 Uses of K-Mean Bunching -- 11.8.8 Benefits of K-Means -- 11.8.9 Bad Marks of K-MEAN -- References -- Chapter 12 Reinforcement Learning -- 12.1 Model -- 12.2 Terms Utilized in Reinforcement Learning -- 12.3 Key Elements of Reinforcement Learning -- 12.4 Instances of Reinforcement Learning -- 12.5 Advantages of Reinforcement Learning -- 12.6 Challenges with Reinforcement Learning -- 12.7 Sorts of Reinforcement -- 12.7.1 Positive -- 12.7.2 Negative…”

Tabla de Contenidos: “…9.3 Research Gaps -- 9.4 Emerging Research Directions -- 9.5 The Broad Concept of FBG Sensor Applications in Industry 4.0 -- 9.6 Conclusion -- References -- Chapter 10 Fog Computing-Enabled Cancer Cell Detection System Using Convolution Neural Network in Internet of Medical Things -- 10.1 Introduction -- 10.2 Fog Computing: Approach of IoMT -- 10.3 Relationship Between IoMT and Deep Neural Network -- 10.4 Fog Computing Enabled CNN for Medical Imaging -- 10.5 Algorithm Approach of Proposed Model -- 10.6 Result and Analysis -- 10.7 Conclusion -- References -- Chapter 11 Application of IoT in Smart Farming and Precision Farming: A Review -- 11.1 Introduction -- 11.2 Methodologies Used in Precision Agriculture -- 11.3 Contribution of IoT in Agriculture -- 11.4 IoT Enabled Smart Farming -- 11.5 IoT Enabled Precision Farming -- 11.6 Machine Learning Enable Precision Farming -- 11.7 Application of Operational Research Method in Farming System -- 11.8 Conclusion -- 11.9 Future Scope -- References -- Chapter 12 Big IoT Data Analytics in Fog Computing -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Motivation -- 12.4 Fog Computing -- 12.4.1 Fog Node -- 12.4.2 Characteristics of Fog Computing -- 12.4.3 Attributes of Fog Node -- 12.4.4 Fog Computing Service Model -- 12.4.5 Fog Computing Architecture -- 12.4.6 Data Flow and Control Flow in Fog Architecture -- 12.4.7 Fog Deployment Models -- 12.5 Big Data -- 12.5.1 What is Big Data? …”

Tabla de Contenidos: “…Front Cover -- Networks-on-Chip: From Implementations to Programming Paradigms -- Copyright -- Contents in Brief -- Contents -- Preface -- About the Editor-in-Chief and Authors -- Editor-in-Chief -- Authors -- Part I: Prologue -- Chapter 1: Introduction -- 1.1 The dawn of the many-core era -- 1.2 Communication-centric cross-layer optimizations -- 1.3 A baseline design space exploration of NoCs -- 1.3.1 Topology -- 1.3.2 Routing algorithm -- 1.3.3 Flow control -- 1.3.4 Router microarchitecture -- 1.3.5 Performance metric -- 1.4 Review of NoC research -- 1.4.1 Research on topologies -- 1.4.2 Research on unicast routing -- 1.4.3 Research on supporting collective communications -- 1.4.4 Research on flow control -- 1.4.5 Research on router microarchitecture -- 1.5 Trends of real processors -- 1.5.1 The MIT Raw processor -- 1.5.2 The Tilera TILE64 processor -- 1.5.3 The Sony/Toshiba/IBM Cell processor -- 1.5.4 The U.T. Austin TRIPS processor -- 1.5.5 The Intel Teraflops processor -- 1.5.6 The Intel SCC processor -- 1.5.7 The Intel Larrabee processor -- 1.5.8 The Intel Knights Corner processor -- 1.5.9 Summary of real processors -- 1.6 Overview of the book -- References -- Part II: Logic implementations -- Chapter 2: A single-cycle router with wing channels -- 2.1 Introduction -- 2.2 The router architecture -- 2.2.1 The overall architecture -- 2.2.2 Wing channels -- 2.3 Microarchitecture designs -- 2.3.1 Channel dispensers -- 2.3.2 Fast arbiter components -- 2.3.3 SIG managers and SIG controllers -- 2.4 Experimental results -- 2.4.1 Simulation infrastructures -- 2.4.2 Pipeline delay analysis -- 2.4.3 Latency and throughput -- 2.4.4 Area and power consumption -- 2.5 Chapter summary -- References -- Chapter 3: Dynamic virtual channel routers with congestion awareness -- 3.1 Introduction -- 3.2 DVC with congestion awareness -- 3.2.1 DVC scheme…”

Tabla de Contenidos: “…The sandbox infrastructure -- 6.1 Physical integration into the network infrastructure -- 6.2 System setup and service levels -- 6.2.1 Operating system and program products -- 6.2.2 Distributed environments -- 6.2.3 Development environment -- 6.3 Naming conventions -- 6.3.1 WebSphere cells -- 6.3.2 Naming convention variables -- 6.3.3 Data sets and files -- 6.3.4 Component trace procedure names -- 6.3.5 Configuration objects -- 6.3.6 Development base servers started tasks and user IDs -- 6.3.7 Deployment manager started tasks and user IDs -- 6.3.8 Node agent started tasks and user IDs -- 6.3.9 Managed servers started tasks and user IDs -- 6.3.10 TCP/IP ports -- 6.3.11 Common information -- 6.3.12 Starting servers -- Chapter 7. …”

Tabla de Contenidos: “…10.4.1 mmWave Analog Beamforming -- 10.4.2 Hybrid Beamforming in mmWave -- 10.4.3 Multi-Beamforming -- 10.5 Simulation Results -- 10.6 Deployment and Practical Issues for Smart City -- 10.6.1 Application of Pairing Greater than Three Users -- 10.6.2 Successive Interference Cancelation (SIC) -- 10.6.3 User Mobility -- 10.6.4 Channel State Information -- 10.6.5 Multiple-Cell NOMA -- 10.7 Conclusion -- References -- Chapter 11 Traditional and Modern Techniques for Visible Light Positioning Systems -- 11.1 Introduction: An Overview of Visible Light Positioning Techniques -- 11.2 Localization Process and Operational Framework -- 11.3 Traditional Methods for Positioning -- 11.3.1 Angle of Arrival (AoA) -- 11.3.2 Time of Arrival (ToA) -- 11.3.3 Time Difference of Arrival (TDoA) -- 11.3.4 Received Signal Strength (RSS) -- 11.4 Positioning Algorithms - An Overview -- 11.4.1 Mathematical Method: -- 11.4.2 Sensor-Assisted Method -- 11.4.3 Optimization Method -- 11.5 Review of Machine Learning and Artificial Intelligence -- 11.5.1 Supervised Learning -- 11.5.2 Unsupervised Learning -- 11.5.3 Semi-Supervised Learning -- 11.5.4 Reinforcement Learning -- 11.5.5 Deep Learning -- 11.5.5.1 Dense Neural Networking (DNN) -- 11.5.5.2 Convolutional Neural Networking (CNN) -- 11.5.5.3 Recurrent Neural Networking (RNN) -- 11.5.6 Auto-Encoders -- 11.5.7 Extreme Learning Machine -- 11.6 Machine Learning and Artificial Intelligence-Based Positioning Algorithms -- 11.6.1 Indoor Localization with Supervised Learning Approaches -- 11.6.2 Indoor Localization with the Deep Learning Approaches -- 11.6.3 Indoor Localization with Unsupervised Learning Approaches -- 11.7 Comparison of Machine Learning-Based Positioning Algorithms -- 11.8 Conclusion and Future Work -- References -- Index…”

Tabla de Contenidos: “…3.4 Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things -- 3.4.1 System model -- 3.4.2 Performance analysis -- 3.4.2.1 Outage probability analysis -- 3.4.2.2 Intercept probability analysis -- 3.4.3 Numerical results -- 3.4.4 Conclusions -- 3.5 Future research prospects -- 3.5.1 Security and privacy -- 3.5.2 Backscatter communication circuitry design -- 3.5.3 EM energy harvester -- 3.5.4 Hardware impairments -- References -- 4 Unmanned aerial vehicle technology in IoE -- 4.1 Introduction -- 4.1.1 Research status and development trend -- 4.1.2 Research on transmission theory of UAV Communication System -- 4.1.3 Physical layer security of wireless power supply network based on IRS-UAV -- 4.1.4 Channel estimation and beamforming for UAV Communication System -- 4.2 Energy efficiency characterization in heterogeneous IoT system with UAV swarms based on wireless power transfer -- 4.2.1 System model -- 4.2.1.1 Network model -- 4.2.1.2 Air to ground channel model -- 4.2.1.3 Energy harvesting model -- 4.2.1.4 Cell association -- 4.2.1.5 Performance metrics -- 4.2.2 Transmission probability of the IoT-Ts -- 4.2.2.1 One-slot charging -- 4.2.2.2 Two-slot charging -- 4.2.3 Coverage probability -- 4.2.3.1 Coverage probability of the PAIDs -- 4.2.3.2 Coverage probability of the FAIDs -- 4.2.4 Energy efficiency -- 4.2.5 Numerical results -- 4.2.6 Conclusion -- 4.3 UAV-aided multiway NOMA networks with residual hardware impairments -- 4.3.1 System model -- 4.3.1.1 The first case -- 4.3.1.2 The first case -- 4.3.1.3 The second case -- 4.3.2 Achievable sum rate analysis -- 4.3.2.1 Achievable sum rate analysis -- 4.3.2.2 High SNR analysis -- 4.3.3 Numerical results &amp -- discussion -- 4.3.4 Conclusion -- 4.4 A unified framework for HS-UAV NOMA networks: performance analysis and location optimization…”

Tabla de Contenidos: “…4.9 Adding Graphics to Document -- 4.9.1 Pictures -- 4.9.2 Editing a Picture -- 4.9.3 Drawing Objects -- 4.10 Mail Merge -- 4.10.1 Components of a Mail Merge -- 4.10.2 Mail Merge Steps -- 4.11 Printing a Document -- 4.11.1 Setting Page Margins -- 4.11.2 Print Preview -- 4.11.3 Printing the Document -- 4.12 Important Keyboard Shortcuts -- Summary -- Exercises -- Chapter 5: Power Point Presentations and Spreadsheets -- 5.1 Introduction -- 5.2 Starting Microsoft Office PowerPoint 2003 -- 5.2.1 Microsoft PowerPoint Environment -- 5.3 Working with PowerPoint 2003 -- 5.3.1 Creating a New Presentation -- 5.3.2 Opening a Presentation -- 5.3.3 Saving a Presentation -- 5.4 Designing a Presentation -- 5.4.1 Choosing Design Template -- 5.4.2 Using Masters -- 5.4.3 Working with Slides -- 5.4.4 Working with Text -- 5.4.5 Running Slides -- 5.5 Spreadsheets -- 5.6 Starting Microsoft Office Excel 2003 -- 5.6.1 Microsoft Excel Environment -- 5.7 Working with Excel Workbook -- 5.7.1 Creating an Excel Workbook -- 5.7.2 Opening an Existing Workbook -- 5.7.3 Saving Workbook -- 5.7.4 Closing a Workbook -- 5.8 Working with Worksheet -- 5.8.1 Entering Data in Cells -- 5.8.2 Editing a Worksheet -- 5.8.3 Using Cut, Copy, and Paste in Excel -- 5.9 Inserting Charts -- 5.9.1 Creating Charts -- 5.9.2 Using Chart Toolbar -- 5.9.3 Saving a Chart -- Summary -- Exercises -- Chapter 6: Information Technology and the Internet -- 6.1 Introduction -- 6.2 Information Technology (IT) -- 6.3 Internet -- 6.3.1 Evolution of Internet -- 6.3.2 Basic Internet Terms -- 6.3.3 Getting Connected to the Internet -- 6.3.4 Internet Services -- 6.3.5 Data over Internet -- Summary -- Exercises -- Chapter 7: Problem Solving and Program Planning -- 7.1 Introduction -- 7.1.1 Planning the Computer Program -- 7.1.2 Program Development Cycle -- 7.2 Program Design Tools -- 7.2.1 Algorithms -- 7.2.2 Flowchart…”

Tabla de Contenidos: “…Conté volum 6: 3DELUXE (Leonardo Glass Cube, Bad Drinurg Germany, 200-07), p. 52 ; 3LHD ARCHITECTS (Sports Hall Bale-Valle, Croatia, 2005-06), p. 58 ; ADJAYE / ASSOCIATES (Museum of Contemporany Art/Denver, Denver, Colorado, USA, 2004-07), p. 66 ; Al WEI WEI/FAKE DESIGN (Template, Documenta 12, Kassel, Germany, 2007), p. 72 ; TADAO ANDO (21_21 Design Sight, Minato-ku, Tokyo, Japan, 2004-07), p. 76 ; ALEJANDRO ARAVENA (Centro Tecnológico, Universidad Católica, San Joaquin Campus, Santiago, Chile, 2003-06), p. 84 ; ARGE GRAZIOLI KRISCHANITZ (Museum Rietberg Extension, Zurich, Switzerland, 2004-06), p. 92 ; SHIGERU BAN (Post-Tsunami Rehabilitation Houses, Kirinda, Hambantota, Sri Lanka, 2005-07), p. 98 ; BARKOW LEISINGER (Trutec Building, Seoul, Korea, 2005-06), p. 102 ; BERNARDES + JACOBSEN (TIM Festival 2007, Rio de Janeiro, Rio de Janeiro, Brazil, 2007), p. 108 ; COOP HIMMELB(L)AU (Akron Art Museum, Akron, Ohio, USA, 2001-07 / BMW Welt, Munich, Germany, 2001-07), p. 114 ; OLAFUR ELIASSON ( The New York City Waterfalls, New York, New York, USA, 2008 / Serpentine Gallery Pavilion 2007, Kensington Gardens, London, UK, 2007), p. 134 ; EMERGENT (Shenzen Museum of Contemporany Art, Shenzhen, China, 2007 / National Library of the Czech Republic, Prague, Czech Republic, 2006-07), p. 144 ; KSP ENGEL UNO ZIMMERMANN (Bergen-Belsen Documentation and Information Center, Celle, Germany, 2005-07), p. 156 ; FAM ARQUITECTURA (March 11 Memorial for the victims, Madrid, Spain, 2005-07), p. 164 ; FOSTER AND PARTNERS (Russia Tower, Moscow, Russia, 2006- / Crystal Island, Moscow, Russia, 2006-), p. 168 ; TERUNOBU FUJIMORI (Chashitsu Tetsu (Teahouse Tetsu), Kiyoharu Shirakaba Museum, Nakamaru, Hokuto City, Yamanashi, Japan, 2005), p. 174 ; MASSIMILIANO FUKSAS(Zénith Strasbourg, Ecxbolsheim, Strabourg, France, 2003-07), p. 180 ; ANTÓN GARCÍA-ABRIL (SGAE Central Ofiice, Santiago de Compostela, Galicia, Spaim, 2005-07), p. 188 ; DIONISIO GONZALEZ (Favela Series, São Paulo, São Paulo, Brazil, 2004-07), p. 196 ; ZAHA HADID (Nordpark Railway, Innsbruck, Austria, 2004-07), p. 202 ; HEATHERWICK STUDIO (East Beach Café, Littlehampton, West Sussex, UK, 2005-07), p. 216 ; HERZOG & DE MEURON (National Stadium, Main Stadium for the 2008 Olympic Games, Beijing, China, 2003-08 / Caixa Forum, Madrid, Spain, 2001-08), p. 222 ; STEVEN HOLL (The Nelson.Atkins Museum of Art, Bloch Building, Kansas City, Missouri, USA, 2002-07), p. 240 ; HOLZER KOBLER (Arche Nebra Visitor’s Center, Wangen, Germany, 2005-07), p. 250 ; JUNYA ISHIGAMI (Facility, Kanagawa Institute of Technology, Kanagawa, Japan, 2007-08), p. 258 ; TOYO ITO (Tama Art University New Library, Hachioji City, Tokyo, Japan, 2004-07), p. 266 ; JAKOB + MACFARLANE (City of Fashion and Design, Paris, France, 2007-08), p. 274 ; JENSEN & SKODVIN (Tautra Maria Convent, Tautra Island, Norway, 2004-06), p. 280 ; CARLOS JIMENEZ (Rice Libray Service Center (2002-05) and Rice Data Center (2006-07) / Rice University South Campus Master Plan, Houston, Texas, USA), p. 288 ; KENGO KUMA (Suntory Museum of Art, Minato-ku, Tokyo, Japan, 2004-07), p. 294 ; LASSILA HIRVILAMMI (Kärsämäki Church, Kärsämäki, Finland, 1999-2004), p. 302 ; LEGORRETA + LEGORRETA (La Purificadora BoutiqueHotel, Puebla, Mexico, 2006-07), p. 308 ; DANIEL LIBESKIND ( Royal Ontario Museum Extension, Toronto, Canada, 2002-07), p. 314 ; LIN FINN GEIPEL + GIULIA ANDI (Alvéole 14, Submarine Base Rehabilitation, Quartier Ville Port, Saint-Nazaire, France, 2005-07), p. 320 ; MII ARCHITECTEN (Information Center, National Center for Arboriculture, Baarn, the Netherlands, 2001-03), p. 330 ; MADA S.P.A.M. …”

“…Few events in science have captured the same level of sustained interest and imagination of the nonscientific community as Stem Cells, Tissue Engineering, and Regenerative Medicine. …”

“…Our understanding of the actions of immune cells in the CNS has been restricted by the difficulty in visualising leukocytes as they undergo recruitment from the cerebral microvasculature and following their entry into the CNS parenchyma. …”

“…Living cells require a constant supply of energy for the orchestration of a variety of biological processes in fluctuating environmental conditions. …”