“…In each of these four dominances a complex microbial biodiversity has been described. …”

“…Analyzing courtesy manuals and etiquette books from the thirteenth to the eighteenth century, Arditi shows how the dominant classes of a society were able to create a system of social relations and put it into operation. …”

Tabla de Contenidos: “…Días de descanso -- a) Ley Federal del Trabajo -- b) Ley del Impuesto sobre la Renta -- c) Leyes del Seguro Social e Infonavit -- 5. Prima dominical -- a) Ley Federal del Trabajo -- b) Ley del Impuesto sobre la Renta -- c) Ley del Seguro Social -- d) Ley del Infonavit -- a) Ley Federal del Trabajo -- b) Ley del Impuesto sobre la Renta -- c) Ley del Seguro Social -- d) Ley del Infonavit -- 7. …”

Tabla de Contenidos: “…DÍAS DE DESCANSO -- A) LEY FEDERAL DEL TRABAJO -- B) LEY DEL IMPUESTO SOBRE LA RENTA -- C) LEYES DEL SEGURO SOCIAL E INFONAVIT -- 5. PRIMA DOMINICAL -- A) LEY FEDERAL DEL TRABAJO -- B) LEY DEL IMPUESTO SOBRE LA RENTA -- C) LEY DEL SEGURO SOCIAL -- D) LEY DEL INFONAVIT -- 6. …”

Tabla de Contenidos: “…Écarts de rémunération entre les sexes -- Le modèle dominant est soumis à rude épreuve -- Initiatives pour réduire les inégalités entre les sexes -- Fixer les priorités pour des progrès plus rapides…”

Tabla de Contenidos: “…Estimation du soutien total par pays, 1995-97 et 2012-14 -- Le soutien total à l'agriculture est dominé par le soutien aux producteurs agricoles, tandis que les dépenses consacrées aux services d'intérêt général pour ce secteur sont relativement réduites -- Graphique 1.5. …”

Tabla de Contenidos: “…Les combustibles fossiles dominent les approvisionnements énergétiques -- Graphique 1.3. …”

Tabla de Contenidos: “…5.4.1 L-H transition -- 5.4.2 Pedestal performance -- 5.4.3 Operation at trans-Greenwald density -- 5.4.4 Core transport -- 5.5 Power exhaust -- 5.5.1 Power decay length -- 5.5.2 ELM mitigation with magnetic perturbations -- 5.6 MHD modes and disruptions -- 5.6.1 NTM suppression -- 5.6.2 Disruption studies -- 5.7 Scenario development -- 5.7.1 ITER baseline operation -- 5.7.2 Type I ELMy H-Modes at highest P/R values -- 5.7.3 Scenarios at elevated central q -- 5.8 Summary and outlook -- Acknowledgements -- References -- 6 - The Tokamak Fusion Test Reactor -- 6.1 Introduction -- 6.2 TFTR design and capabilities -- 6.2.1 Magnets -- 6.2.2 Vacuum vessel, plasma-facing components, bakeout system, and other "conditioning" techniques -- 6.2.3 Heating systems -- 6.2.3.1 Neutral beam injection -- 6.2.3.2 Ion cyclotron heating -- 6.2.4 Fueling and impurity injection systems -- 6.2.5 Tritium handling, delivery, and exhaust systems -- 6.2.6 Tritium retention and removal -- 6.2.7 Shielding -- 6.2.8 Conduct of maintenance, installation, and final decommissioning -- 6.2.9 Diagnostics -- 6.3 TFTR operational regimes: requirements, characteristics and limitations -- 6.3.1 Ohmically heated plasmas -- 6.3.2 Neutral beam injection-heated plasmas -- 6.3.2.1 L-mode -- 6.3.2.2 Supershots in TFTR -- 6.3.2.3 H-mode -- 6.3.2.4 High internal inductance regime -- 6.3.2.5 Reversed shear and enhanced reversed shear -- 6.3.2.6 Detached plasmas and radiating mantles -- 6.3.3 ICRF heated -- 6.4 Main physics results from TFTR (not D-T specific) -- 6.4.1 Thermal energy and particle confinement -- 6.4.1.1 Confinement in ohmically heated plasmas -- 6.4.1.2 Confinement of plasmas with dominant auxiliary heating -- 6.4.1.3 Role of turbulent fluctuations -- 6.4.1.4 Heat pulse propagation and perturbative transport studies…”

Tabla de Contenidos: “…-- 8 - Voltage-Feedback Op Amp Compensation -- 8.1 Introduction -- 8.2 Internal Compensation -- 8.3 External Compensation, Stability, and Performance -- 8.4 Dominant-Pole Compensation -- 8.5 Gain Compensation -- 8.6 Lead Compensation -- 8.7 Compensated Attenuator Applied to Op Amp -- 8.8 Lead-Lag Compensation -- 8.9 Comparison of Compensation Schemes -- 8.10 Conclusions -- 9 - Current-Feedback Op Amps -- 9.1 Introduction -- 9.2 Current-Feedback Amplifier Model -- 9.3 Development of the Stability Equation -- 9.4 The Noninverting Current-Feedback Amplifier -- 9.5 The Inverting Current-Feedback Amplifier -- 9.6 Stability Analysis -- 9.7 Selection of the Feedback Resistor -- 9.8 Stability and Input Capacitance -- 9.9 Stability and Feedback Capacitance -- 9.10 Compensation of CF and CG -- 9.11 Summary -- 10 - Voltage- and Current-Feedback Op Amp Comparison -- 10.1 Introduction -- 10.2 Precision -- 10.3 Bandwidth -- 10.4 Stability -- 10.5 Impedance -- 10.6 Equation Comparison -- 11 - Fully Differential Op Amps -- 11.1 Introduction -- 11.2 What Does "Fully Differential" Mean? …”

Tabla de Contenidos: “…2.3.1 Posterior distribution -- 2.3.2 Example -- 2.3.3 Predictive distribution -- 2.3.4 Robustness -- 2.4 Dominant likelihoods -- 2.4.1 Improper priors -- 2.4.2 Approximation of proper priors by improper priors -- 2.5 Locally uniform priors -- 2.5.1 Bayes' postulate -- 2.5.2 Data translated likelihoods -- 2.5.3 Transformation of unknown parameters -- 2.6 Highest density regions -- 2.6.1 Need for summaries of posterior information -- 2.6.2 Relation to classical statistics -- 2.7 Normal variance -- 2.7.1 A suitable prior for the normal variance -- 2.7.2 Reference prior for the normal variance -- 2.8 HDRs for the normal variance -- 2.8.1 What distribution should we be considering? …”

Tabla de Contenidos: “…. -- 6.1 Introduction -- 6.2 Service dominant logic in marketing -- 6.3 Service interactions and cocreated wellbeing -- 6.4 Uncertainty due to pandemic -- 6.5 Uncertainty in healthcare -- 6.5.1 Impact of pandemic-led uncertainty on a patient's mind -- 6.5.2 Impact of pandemic-led uncertainty on service interactions -- 6.6 The emerging role of Artificial Intelligence -- 6.7 AI combating uncertainty and supporting value cocreation in healthcare interactions -- 6.8 The spill-over effect of Artificial Intelligence -- 6.9 Conclusion and future work -- References -- 7 The COVID-19 outbreak: social media sentiment analysis of public reactions with a multidimensional perspective -- 7.1 Introduction -- 7.2 Data collection -- 7.3 Sentiment analysis of the tweets collected worldwide -- 7.4 Sentiment analysis of Tweets for India -- 7.4.1 COVID-19 analysis for individual city of India-Mumbai -- 7.4.1.1 Sentiment analysis of tweets in Mumbai -- 7.5 Analysis of few most trending hashtags -- 7.5.1 Opinion analysis for the hashtag &amp -- num -- WorkFromHome -- 7.5.1.1 Sentiment analysis of &amp -- num -- WorkFromHome -- 7.5.2 Sentiment analysis of &amp -- num -- MigrantWorkers -- 7.6 Conclusion -- References -- 8 A new approach to predict COVID-19 using artificial neural networks -- 8.1 Introduction -- 8.2 Related studies…”

Tabla de Contenidos: “…Flow graph: Definition and pictorial representation -- 1.14.3. Path -- 1.15 Dominators and Postdominators -- 1.16 Program-Dependence Graph -- 1.16.1. …”

“…Les effets létaux dominants (LD) causent la mort embryonnaire ou foetale. …”