Tabla de Contenidos: “…5.4 Returns to scale in a multiple-capital (Nonneman-Vanhoudt) model -- 5.5 Golden rules of capital accumulation at returns to scale conditions -- 5.6 Conclusions -- 6 Bipolar growth models with investment flows -- 6.1 Introduction -- 6.2 A model with exogenous investment flows -- 6.3 A model with investment flows conditional on capital productivity -- 6.4 Numerical simulations of economy growth trajectories -- 6.4.1 Exogenous investment flows -- 6.4.2 Investment flows depending on capital productivity -- 6.5 Conclusions -- 7 The gravity model of economic growth -- 7.1 Introduction -- 7.2 Assumptions of the model -- 7.3 A solution of the model -- 7.4 Golden rules of capital accumulation -- 7.4.1 Maximization of the geometric mean of long-run consumption per worker -- 7.4.2 Maximization of long-run consumption per worker in each of the economies -- 7.5 Conclusions -- 8 Solow equilibrium at alternative trajectories of the number of workers -- 8.1 Introduction -- 8.2 Assumptions about alternative trajectories of the number of workers -- 8.3 Analytical solutions -- 8.3.1 Growth paths at a logistic trajectory of the number of workers -- 8.3.2 Growth paths at a growth rate that drops with rising labour productivity -- 8.4 Numerical simulations -- 8.5 Conclusions -- 9 The Solow equilibrium at sine-wave investment rates -- 9.1 Introduction -- 9.2 Assumptions of the model -- 9.3 Equilibrium in the model -- 9.4 Calibration of parameters and numerical simulations -- 9.5 Conclusions -- 10 SIR-Solow model -- 10.1 Introduction -- 10.2 An epidemiological-economic model -- 10.2.1 The epidemiological module -- 10.2.2 The economic module -- 10.3 Calibrated model parameters -- 10.3.1 Parameters of the epidemiological module -- 10.3.2 Parameters of the economic module -- 10.4 Scenarios and numerical simulation results -- 10.5 Conclusions -- References -- Index…”

Tabla de Contenidos: “…5.4.1 Programmautomatik (P) -- 5.4.2 Blendenautomatik (Tv) -- 5.4.3 Zeitautomatik -- 5.4.4 Die flexible Automatik Fv -- 5.4.5 Das Programm M(anuell) -- 5.4.6 Das Programm B(ulb) -- 5.4.7 ISO-Empfindlichkeit-Einstellungen -- 5.5 Die individuell belegbaren Programme -- 5.5.1 Die Programmbelegung -- 5.5.2 Eigene Einstellungssets -- 6 Besondere Aufnahme­techniken -- 6.1 Mehrfachbelichtung -- 6.1.1 Die Bildverrechnung -- 6.2 High Dynamic Range (HDR) -- 6.3 Fokus-Stacking -- 6.4 RAW-Burst -- 6.5 Bildstabilisierung und Belichtungszeit in der EOS R7 -- 6.5.1 Stabilisierung statischer Motive…”

Tabla de Contenidos: “…4.2.3 The symbols() Function -- 4.2.4 The image() and rasterImage() Functions -- 4.2.4.1 The image() Function -- 4.2.4.2 The rasterImage() Function -- 4.3 Functions That Use Lines -- 4.3.1 The lines() and abline() Functions -- 4.3.2 The curve() Function -- 4.3.3 The segments() and arrows() Functions -- 4.3.3.1 The segments() Function -- 4.3.3.2 The arrows() Function -- 4.3.3.3 An Example of Using segments() and arrows() -- 4.3.4 Functions That Plot Lines That Close on Themselves: rect(), polygon(), and polypath() -- 4.3.4.1 The rect() Function -- 4.3.4.2 The polygon() Function -- 4.3.4.3 The polypath() Function -- 4.3.4.4 An Example of rect(), polygon(), and polypath() -- 4.3.5 The contour() Function -- 4.4 Functions to Provide Information About or to Interact with a Plot -- 4.4.1 The legend() and mtext() Functions -- 4.4.1.1 The legend() Function -- 4.4.1.2 The mtext() Function -- 4.4.2 The Interactive Functions: identify() and locator() -- 4.4.2.1 The identify() Function -- 4.4.2.2 The locator() Function -- Chapter 5: The Methods of plot() -- 5.1 Methods -- 5.2 The Methods for plot() in the graphics Package -- 5.2.1 The data.frame Method -- 5.2.2 The factor Method -- 5.2.3 The formula Method -- 5.2.4 The function Method -- 5.2.5 The histogram Method -- 5.2.6 The raster Method -- 5.2.7 The table Method -- 5.3 The Methods for plot() in the stats Package -- 5.3.1 The acf Method -- 5.3.2 The decomposed.ts Method -- 5.3.3 The dendrogram Method -- 5.3.4 The density Method -- 5.3.5 The ecdf Method -- 5.3.6 The hclust Method -- 5.3.7 The HoltWinters Method -- 5.3.8 The isoreg Method -- 5.3.9 The lm Method -- 5.3.10 The ppr Method -- 5.3.11 The prcomp and princomp Methods -- 5.3.12 The profile.nls Method -- 5.3.13 The spec, spec.coherency, and spec.phase Methods -- 5.3.14 The stepfun Method -- 5.3.15 The stl Method -- 5.3.16 The ts Method…”

Tabla de Contenidos: “…4.5.2 RBM HTM -- 4.5.3 Pyragrid -- 4.6 Discussion -- 4.6.1 On-Chip Learning -- 4.6.2 Data Movement -- 4.6.3 Memory Requirements -- 4.6.4 Scalability -- 4.6.5 Network Lifespan -- 4.6.6 Network Latency -- 4.6.6.1 Parallelism -- 4.6.6.2 Pipelining -- 4.6.7 Power Consumption -- 4.7 Open Problems -- 4.8 Conclusion -- References -- Chapter 5 NLP-Based AI-Powered Sanskrit Voice Bot -- 5.1 Introduction -- 5.2 Literature Survey -- 5.3 Pipeline -- 5.3.1 Collect Data -- 5.3.2 Clean Data -- 5.3.3 Build Database -- 5.3.4 Install Required Libraries -- 5.3.5 Train and Validate -- 5.3.6 Test and Update -- 5.3.7 Combine All Models -- 5.3.8 Deploy the Bot -- 5.4 Methodology -- 5.4.1 Data Collection and Storage -- 5.4.1.1 Web Scrapping -- 5.4.1.2 Read Text from Image -- 5.4.1.3 MySQL Connectivity -- 5.4.1.4 Cleaning the Data -- 5.4.2 Various ML Models -- 5.4.2.1 Linear Regression and Logistic Regression -- 5.4.2.2 SVM - Support Vector Machine -- 5.4.2.3 PCA - Principal Component Analysis -- 5.4.3 Data Pre-Processing and NLP Pipeline -- 5.5 Results -- 5.5.1 Web Scrapping and MySQL Connectivity -- 5.5.2 Read Text from Image -- 5.5.3 Data Pre-Processing -- 5.5.4 Linear Regression -- 5.5.5 Linear Regression Using TensorFlow -- 5.5.6 Bias and Variance for Linear Regression -- 5.5.7 Logistic Regression -- 5.5.8 Classification Using TensorFlow -- 5.5.9 Support Vector Machines (SVM) -- 5.5.10 Principal Component Analysis (PCA) -- 5.5.11 Anomaly Detection and Speech Recognition -- 5.5.12 Text Recognition -- 5.6 Further Discussion on Classification Algorithms -- 5.6.1 Using Maximum Likelihood Estimator -- 5.6.2 Using Gradient Descent -- 5.6.3 Using Naive Bayes' Decision Theory -- 5.7 Conclusion -- Acknowledgment -- References -- Chapter 6 Automated Attendance Using Face Recognition -- 6.1 Introduction -- 6.2 All Modules Details -- 6.2.1 Face Detection Model…”

Tabla de Contenidos: “…-- 4.1 Le conseil de paroisse sous l'Ancien Régime -- 4.2 Les conseils des villages sous l'Ancien Régime -- 4.3 De l'Ancien Régime à la République Helvétique -- 4.4 De la République Helvétique à la Médiation -- 4.5 De la Médiation àla Restauration -- 4.6 De la Restauration à laRégénération -- 4.7 Bilan -- 5 Les mariages à Corsier de 1690 à 1840 : entre resserrement et élargissement -- 5.1 Endogamie et proximité spatiale : modèles d'interprétation -- 5.2 Les mariages dans la parenté -- 5.2.1 Les interdictions de mariage entre parents dans le Pays puis le canton de Vaud -- 5.2.2 Méthode -- 5.2.3 Recensement des mariages dans l'ensemble du corpus -- 5.2.4 Première période 1691-1740 -- 5.2.4.1 Mariages entre parents -- 5.2.4.2 Mélange aléatoire du réseau de parenté -- 5.2.4.3 Statut socioprofessionnel et ancrage généalogique -- 5.2.5 Deuxième période 1741-1790 -- 5.2.5.1 Mariages entre parents -- 5.2.5.2 Mélange aléatoire du réseau de parenté -- 5.2.5.3 Statut socioprofessionnel et ancrage généalogique -- 5.2.6 Troisième période 1791-1840 -- 5.2.6.1 Mariages entre parents -- 5.2.6.2 Mélange aléatoire du réseau de parenté -- 5.2.6.3 Statut socioprofessionnel et ancrage généalogique -- 5.2.7 Mariages entre cousin-e-s germain-e-s -- 5.2.8 Mariages dans l'élite politique -- 5.2.9 Mariages entre parents : le cas Delafontaineet Bettens -- 5.2.10 Le mariage double de Montet dit TaverneyDelafontaine -- 5.3 Mariages et proximité spatiale -- 5.3.1 Première période : 1773-1782 -- 5.3.2 Deuxième période : 1831-1840 -- 5.3.3 Professions, ancrage généalogique et fortune -- 5.3.4 Des quartiers familiaux ? …”

Tabla de Contenidos: “…3.2 Instruction, bandwidth, and latency bound kernels -- 3.3 Memory bandwidth -- 3.3.1 Theoretical peak bandwidth -- 3.3.2 Effective bandwidth -- 3.3.3 Actual data throughput vs. effective bandwidth -- 4 Synchronization -- 4.1 Synchronization of kernel execution and data transfers -- 4.1.1 Pageable versus pinned host memory -- 4.1.2 Streams -- 4.1.2.1 Creating streams -- 4.1.3 Asynchronous transfers via cudaMemcpyAsync() -- 4.1.4 Synchronization barriers -- 4.1.4.1 cudaDeviceSynchronize() -- 4.1.4.2 cudaStreamSynchronize() -- 4.1.4.3 cudaEventSynchronize() -- 4.1.4.4 Querying streams and events -- 4.1.5 Advanced stream topics -- 4.1.5.1 The default stream -- 4.1.5.2 Non-blocking streams -- 4.1.5.3 Stream priorities -- 4.2 Synchronization of kernel threads on the device -- 4.2.1 Shared memory -- 4.2.2 Synchronizing threads within a block -- 4.2.3 Warps, warp synchronization, and warp-level primitives -- 4.2.3.1 SHFL functions -- 4.2.4 Atomics -- 4.2.5 Memory fences -- 4.2.6 Cooperative groups -- 4.2.6.1 Grid synchronization -- 4.2.6.2 Thread block clusters -- 5 Optimization -- 5.1 Transfers between host and device -- 5.1.1 Pinned memory -- 5.2 Device memory -- 5.2.1 ECC (Error Correcting Code) -- 5.2.2 Global memory -- 5.2.2.1 Declaring global array arguments in kernels -- 5.2.2.2 Coalesced global memory access -- 5.2.3 Local memory -- 5.2.4 Constant memory -- 5.2.5 L1 and L2 caches -- 5.2.6 Shared memory -- 5.2.6.1 Configuring shared memory -- 5.2.6.2 Global memory coalescing through shared memory -- 5.2.6.3 Shared memory bank conflicts -- 5.2.7 Registers -- 5.2.7.1 Exchanging register data between threads in a warp -- 5.3 Execution configuration -- 5.3.1 Thread-level parallelism -- 5.3.2 Instruction-level parallelism -- 5.3.2.1 Asynchronous data transfers between global and shared memory -- 5.3.2.2 Instruction-level parallelism in CUF kernels…”

“…Session 4. 6. Sessions 5-7. 7. Sessions 8-10. 8. Sessions 11 & 12. 9. Post-treatment Assessment. 10. …”

“…It includes information about managing multiple servers in an installation, including the use of the new administrative capabilities introduced in WebSphere Application Server V8.5.5.7. The following publications are companion publications for this book: WebSphere Application Server: New Features in V8.5.5, REDP-4870 WebSphere Application Server V8.5.5 Technical Overview, REDP-4855 IBM WebSphere Application Server V8.5 Concepts, Planning, and Design Guide, SG24-8022 WebSphere Application Server Liberty Profile Guide for Developers, SG24-8076…”

“…Présentation Du mal-être au harcèlement, que faire face au mobbing ? Entre 3,5 et 7,5% des salariés (tous pays confondus) sont victimes de mobbing au cours de leur vie professionnelle. …”

Tabla de Contenidos: “…Part I; I Introduction: The Torah in 1 Maccabees-; 1.1 Aim-; 1.2 Previous Studies-; 1.2.1 The Law in Scholarship of 1 Maccabees-; 1.2.2 The (dis)Unity of IMaccabees in Scholarship-; 1.3 A Restatement of Aims-; 1.4 Methods and Premises-; Partitio-; II Literary Criticism of 1 Maccabees-; II. 1 lMaccl-; 1:11-15-; 1:43; 1:52; 1:62-63-; Implications-; II. 2 IMacc 2-; 2:23-26-; 2:42-44-; Implications-; II. 3 IMacc 3-; 3:3-9-; Implications-; II. 4 IMacc 5-; 5:55-62-; 5:18-19-; Implications-; II. 5 IMacc 6-; 6:21-27-; 6:42-46-; Implications-; II. 6 IMacc 7-; 7:5-7-; 7:9*-; 7:12*-; 7:13-14-; 7:16d-17-; 7:19…”
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Tabla de Contenidos: “…Dialéctica de las micropartículas; Notas; 1-21; 22-28; 1.2; 3.4; 5; 6.7; 8; 9.10; 11; 12; 13.14; 15; 16.17; 18; 19.20; 21; 22; 23.24; 25.26.27; 28; Capítulo 5; Adaptación, especiación y evolución de la matyeria viva; La herencia por una vía; La teoría sintética; El darweinismo molecular de Monod; Acvtividades dirigidas a un fin; Quiebra de los postulados genéticos; Origen del código genético u origen de la vida; Los trofisdmos y el desarrollo dialéctico; notas; notas 26; c5 1; c5 2; c5 3-5; c5 6; c5 7; c5 8-10; c5 11-12; c5 13; c5 15; c5 16-17; c5 18-20; c5 21-22…”

Tabla de Contenidos: “…5.3 Llana dentada5.4 Fratás; 5.5 Paleta fina; 5.6 Paleta de pavimentador; 5.7 Paletín; 5.8 Llaguero; 5.9 Maza de goma; 5.10 Cortaazulejos; 6 EQUIPOS DE PROTECCIÓN INDIVIDUAL; 6.1 El casco de seguridad para uso general; 6.2 El calzado de seguridad; 6.3 Las pantallas y/o gafas; 6.4 Guantes de protección; 6.5 Protección respiratoria; 6.6 Protección auditiva; 6.7 Protección contra la caída en altura; 7 HERRAMIENTAS AUXILIARES; 7.1 Pala; 7.2 Batidera; 7.3 Pico; 7.4 Maza; 7.5 Maceta; 7.6 Picoleta; 7.6.1 Picoleta de escarpe; 7.6.2 Picoleta de puntera; 7.7 Martillete; 7.8 Martillo; 7.9 Tenazas…”

Tabla de Contenidos: “…UML Aplicaciones en Java y C++ -- Página legal -- índice -- Prólogo -- 1 UML en el contexto de la ingeniería -- 1.1 la necesidad de un modelo -- 1.2 ¿por qué modelar -- 1.3 Modelos de proceso -- 1.4 mda -- 2 diagramas de casos de uso -- 2.1 introducción -- 2.2 actores -- 2.3 CASOS DE USO -- 2.4 Especificación de los casos -- 2.5 Flujo principal -- 2.6 uso de &lt -- &lt -- include -- 2.7 CASO de ESTUDIO -- 3 diagramas de robustez -- 3.1 conceptos -- 3.2 importa ncia de los diagramas -- 3.3 caso de estudio: -- 3.4 caso de estudio: -- 4 modelo del dominio -- 4.1 extracción de conceptos -- 4.2 identificar asociaciones -- 4.3 esta blecer los atr ibutos -- 4.4 Herencia -- 4.5 agregación y composición -- 4.6 ejemplo de modelado -- 4.7 caso de estudio -- 4.8 caso de estudio -- 5 diagramas orientados a la arquitectura -- 5.1 tax onomía de estilos -- 5.2 diagramas de componentes -- 5.3 diagramas de despliegue -- 5.4 diagramas de paquetes -- 6 diagramas de clases -- 6.1 clases -- 6.2 asociaciones -- 6.3 herencia -- 6.4 Interfaces -- 6.5 dependencias -- 6.6 excepciones -- 6.7 clases parametrizables -- 6.8 ejemplo de modelado -- 6.9 caso de estudio -- 6.10 caso de estudio -- 7 diagramas de secuencias -- 7.1 conceptos preliminares -- 7.2 estructura básica -- 7.3 ejemplo de modelado -- 7.4 fragmentos -- 7.5 Parametrización -- 7.6 caso de estudio -- 7.7 caso de estudio -- 8 diagramas de comunicación -- 8.1 estructura -- 8.2 salt os condicionales -- 8.3 iteraciones -- 8.4 caso de estudio -- 8.5 caso de estudio -- 9 patrones de diseño -- 9.1 ¿por qué patr ones -- 9.2 tipos de patr ones -- 9.3 patr ones arquitectónicos -- 9.4 patr ones de diseño -- 9.5 caso de estudio -- 9.6 caso de estudio -- 10 diagramas de estado -- 10.1 conceptos -- 10.2 estructura -- 10.3 estructura de las transiciones -- 10.4 tipos de nodos -- 10.5 eventos -- 10.6 estad os compuestos…”