“…When work is done without joy, there is less creativity, less engagement, and far less productivity. …”

“…Pour le lecteur et la lectrice néophytes, il permet une familiarisation avec le champ de l'ESS, comme organisation économique collective démocratique et a-capitaliste. …”

“…Working from these accounts, Rapley is able to provide a far more complex picture of women who, as a whole, were much less otherworldly than the older convent literature would have us believe, much less thwarted and unhappy than their detractors have long maintained, and much less irrelevant than some historians have assumed. …”

“…Agricultural trade is expected to grow more slowly, but remain less sensitive to weak economic conditions than other sectors. …”

“…These technologies require less space, construction material, less expense, and are easy to transport and store with applications in optical communications, nanocomputing, sensors, and biomedical devices. …”

“…Compounding the difficulty of meeting this increased demand is the fact that warehouses now have less time to process an order, less margin for error and fewer skilled personnel. …”

“…Schindler and Erich Mendelsohn, others far less so-is paired with a key work that is typologically programmatic and inseparable from the progressive nature of the modernist project. …”

“…The conservative fetish for the Second Amendment (enforced by groups such as the NRA) provides an obvious example of constitutional fundamentalism; the liberal fetish for the First Amendment (enforced by groups such as the ACLU) is less obvious but no less influential. Economic and civil libertarianism have increasingly merged to produce a deregulatory, "free-market" approach to constitutional rights that achieves fullest expression in the idealization of the Internet. …”

Tabla de Contenidos: “…8.4.1 Internet Infrastructure -- 8.4.2 High Hardware and Software Cost -- 8.4.3 Less Qualified Workforce -- 8.5 Conclusion and Discussion -- References -- Chapter 9 Application of High-Performance Computing in Synchrophasor Data Management and Analysis for Power Grids -- 9.1 Introduction -- 9.2 Applications of Synchrophasor Data -- 9.2.1 Voltage Stability Analysis -- 9.2.2 Transient Stability -- 9.2.3 Out of Step Splitting Protection -- 9.2.4 Multiple Event Detection -- 9.2.5 State Estimation -- 9.2.6 Fault Detection -- 9.2.7 Loss of Main (LOM) Detection -- 9.2.8 Topology Update Detection -- 9.2.9 Oscillation Detection -- 9.3 Utility Big Data Issues Related to PMU-Driven Applications -- 9.3.1 Heterogeneous Measurement Integration -- 9.3.2 Variety and Interoperability -- 9.3.3 Volume and Velocity -- 9.3.4 Data Quality and Security -- 9.3.5 Utilization and Analytics -- 9.3.6 Visualization of Data -- 9.4 Big Data Analytics Platforms for PMU Data Processing -- 9.4.1 Hadoop -- 9.4.2 Apache Spark -- 9.4.3 Apache HBase -- 9.4.4 Apache Storm -- 9.4.5 Cloud-Based Platforms -- 9.5 Conclusions -- References -- Chapter 10 Intelligent Enterprise-Level Big Data Analytics for Modeling and Management in Smart Internet of Roads -- 10.1 Introduction -- 10.2 Fully Convolutional Deep Neural Network for Autonomous Vehicle Identification -- 10.2.1 Detection of the Bounding Box of the License Plate -- 10.2.2 Segmentation Objective -- 10.2.3 Spatial Invariances -- 10.2.4 Model Framework -- 10.2.4.1 Increasing the Layer of Transformation -- 10.2.4.2 Data Format of Sample Images -- 10.2.4.3 Applying Batch Normalization -- 10.2.4.4 Network Architecture -- 10.2.5 Role of Data -- 10.2.6 Synthesizing Samples -- 10.2.7 Invariances -- 10.2.8 Reducing Number of Features -- 10.2.9 Choosing Number of Classes -- 10.3 Experimental Setup and Results -- 10.3.1 Sparse Softmax Loss…”

Tabla de Contenidos: “…-- 1.3 React Hooks can add state to function components -- 1.3.1 Stateful function components: Less code, better organization -- 1.3.2 Custom hooks: Easier code reuse -- 1.3.3 Third-party hooks provide ready-made, well-tested functionality -- 1.4 Better UX with Concurrent Mode and Suspense -- 1.4.1 Concurrent Mode -- 1.4.2 Suspense -- 1.5 React's new publication channels -- 1.6 Whom is this book for? …”

Tabla de Contenidos: “…3.4.4 Example: Network Search -- 3.4.5 Example: Initial Network Access Procedure -- 3.4.6 The Uu Protocol Stack -- 3.5 The UMTS Terrestrial Radio Access Network (UTRAN) -- 3.5.1 Node-B, Iub Interface, NBAP and FP -- 3.5.2 The RNC, Iu, Iub and Iur Interfaces, RANAP and RNSAP -- 3.5.3 Adaptive Multirate (AMR) NB and WB Codecs for Voice Calls -- 3.5.4 Radio Resource Control (RRC) States -- 3.6 Core Network Mobility Management -- 3.7 Radio Network Mobility Management -- 3.7.1 Mobility Management in the Cell-DCH State -- 3.7.2 Mobility Management in Idle State -- 3.7.3 Mobility Management in Other States -- 3.8 UMTS CS and PS Call Establishment -- 3.9 UMTS Security -- 3.10 High-Speed Downlink Packet Access (HSDPA) and HSPA+ -- 3.10.1 HSDPA Channels -- 3.10.2 Shorter Delay Times and Hybrid ARQ (HARQ) -- 3.10.3 Node-B Scheduling -- 3.10.4 Adaptive Modulation and Coding, Transmission Rates and Multicarrier Operation -- 3.10.5 Establishment and Release of an HSDPA Connection -- 3.10.6 HSDPA Mobility Management -- 3.11 High-Speed Uplink Packet Access (HSUPA) -- 3.11.1 E-DCH Channel Structure -- 3.11.2 The E-DCH Protocol Stack and Functionality -- 3.11.3 E-DCH Scheduling -- 3.11.4 E-DCH Mobility -- 3.11.5 E-DCH-Capable Devices -- 3.12 Radio and Core Network Enhancements: CPC and One Tunnel -- 3.12.1 A New Uplink Control Channel Slot Format -- 3.12.2 CQI Reporting Reduction and DTX and DRX -- 3.12.3 HS-SCCH Discontinuous Reception -- 3.12.4 HS-SCCH-less Operation -- 3.12.5 Enhanced Cell-FACH and Cell/URA-PCH States -- 3.12.6 Radio Network Enhancement: One Tunnel -- 3.13 HSPA Performance in Practice -- 3.13.1 Throughput in Practice -- 3.13.2 Radio Resource State Management -- 3.13.3 Power Consumption -- 3.14 Automated Emergency Calls (eCall) from Vehicles -- 3.15 UMTS and CDMA2000 -- Questions -- References…”

Tabla de Contenidos: “…. -- 2.4.5.2 Principle 5a: The Digitally Empowered Entity has Limitless Economic Potential -- 2.4.5.3 Principle 5b: Consumer Reception and Power Supply Are Limiting Factors -- 2.4.5.4 Principle 5c: The Attention of a Consumer Is the New Scarce Resource -- 2.4.6 Law of New Division of Labor -- 2.4.6.1 Phenomenon 6a: Labor Is Increasingly a Less Important Factor in Value Production -- 2.4.6.2 Phenomenon 6b: New Necessities and the Barrier to Entry in a Digitized Society -- 2.4.6.3 Phenomenon 6c: Deep Learning and Machine Intelligence Are Still Inherently Limited -- 2.4.6.4 Phenomenon 6d: Accuracy Is Not the Truth -- 2.4.6.5 Principle 6a: The Digital Economy Is Creating a New Social Divide Based on the New Labor Value Chain…”