Tabla de Contenidos: “…Writing Code -- 06.01 Zoom In or Out of Text in the Editor Using the Mouse Wheel -- 06.02 Zoom In or Out of Text in the Editor -- Combo Box -- Keyboard -- Universal Zoom -- 06.03 How to Keep from Accidentally Copying a Blank Line -- 06.04 Make IntelliSense Transparent -- 06.05 Cut or Delete the Current Line -- Cut -- Delete -- 06.06 Using the New IntelliSense: Keywords -- 06.07 Using the New IntelliSense: Pascal Case -- 06.08 Comment and Uncomment in Web Pages -- Comment -- Uncomment -- 06.09 Insert a Blank Line Above or Below the Current Line -- 06.10 Transpose Lines, Words, and Characters -- 06.11 How to Cycle Through the Clipboard Ring -- 06.12 Using the Undo and Redo Stack -- 06.13 Undo and Redo Global Actions -- 06.14 How to Use Reference Highlighting -- Navigation -- Turning it Off -- 06.15 Moving or Selecting Between Matching Braces (C++, C# Only) -- Moving -- Selecting…”

Tabla de Contenidos: “…Making the case for e-Learning -- 15.1 The learning evolution -- 15.2 Value propositions -- 15.2.1 Cost reduction -- 15.2.2 Globalization -- 15.2.3 Mobile workforce -- 15.2.4 Reduced cycle times -- 15.3 Learning and return on investment (ROI) -- 15.3.1 Steps to calculating ROI -- 15.3.2 A case study using live virtual classroom technology -- 15.4 IBM, an e-Learning company -- Chapter 16. …”

Tabla de Contenidos: “…Chapter 17 A Mathematical Representation for Deteriorating Goods with a Trapezoidal-Type Demand, Shortages and Time Dependent Holding Cost -- 17.1 Introduction -- 17.2 Assumptions and Notations -- 17.2.1 Assumptions -- 17.2.2 Notation -- 17.2.3 Decision Variables -- 17.3 Formulation and Solution -- 17.3.1 Case 1 i) 0 &lt -- í &lt -- t1 &lt -- t2 &lt -- t3 &lt -- T -- 17.3.2 Case 2 ii) 0 &lt -- ta &lt -- í &lt -- tb &lt -- tc &lt -- T -- 17.3.3 Case 3 iii) 0 &lt -- ta &lt -- tb &lt -- í &lt -- tc &lt -- T -- 17.4 Numerical Example -- 17.5 Discussion -- 17.6 Inference -- References -- Chapter 18 An Amended Moth Flame Optimization Algorithm Based on Fibonacci Search Approach for Solving Engineering Design Problems -- 18.1 Introduction -- 18.2 Classical MFO Algorithm -- 18.3 Proposed Method -- 18.4 Results and Discussions on IEEE CEC 2019 Benchmark Problems -- 18.5 Real-Life Applications -- 18.5.1 Optimal Gas Production Capacity Problem -- 18.5.2 Three-Bar Truss Design (TSD) Problem -- 18.6 Conclusion with Future Studies -- References -- Chapter 19 Image Segmentation of Neuronal Cell with Ensemble Unet Architecture -- 19.1 Introduction -- 19.2 Methods -- 19.3 Dataset -- 19.4 Implementation Details -- 19.5 Evaluation Metrics -- 19.6 Result -- 19.7 Conclusion -- References -- Chapter 20 Automorphisms of Some Non-Abelian p-Groups of Order p4 -- 20.1 Introduction -- 20.2 Categorization of p-Groups with Order p4 -- 20.3 Number of Automorphisms of Some Non-Abelian Groups of Order p4 -- 20.3.1 Computation of Automorphisms of Group G9 -- 20.3.2 Computation of Automorphisms of Group G10 -- 20.3.3 Computation of Automorphisms of G11 -- References -- Chapter 21 Viscoelastic Equation of p-Laplacian Hyperbolic Type with Logarithmic Source Term -- 21.1 Introduction -- 21.2 Preliminaries -- 21.3 Global Existence Result…”

Tabla de Contenidos: “…3.3 Making ndsDNA Gates from Array-Synthesized DNA -- 3.4 Characterizing Gate Kinetics -- 3.5 Reading Out DNA Computation with Next-Generation DNA Sequencing -- 3.6 Reading Pools of Array-Derived Gates -- 4 Discussion -- References -- Sequenceable Event Recorders -- 1 Introduction -- 2 Occurrence Recorder -- 2.1 Yes Gate -- 2.2 Occurrence Recorder Algorithm -- 3 Coincidence Recorder -- 3.1 Join Gate -- 3.2 Coincidence Recorder Algorithm -- 4 Preorder Recorder -- 4.1 Choice Gate Specification -- 4.2 Preorder Recorder Algorithm -- 4.3 Crosstalking Choice Gate -- 4.4 A ``Proper'' Choice Gate -- 5 Conclusions -- References -- Computational Design of Nucleic Acid Circuits: Past, Present, and Future -- 1 Past -- 1.1 Visual DSD Origins -- 1.2 Visual DSD Evolution -- 1.3 Visual DSD Analysis -- 2 Present -- 2.1 Logic Programming Framework -- 2.2 Related Work -- 3 Future -- 3.1 Computational Tool Integration -- 3.2 Experiment Integration -- 3.3 Computational Design for Practical Applications -- References -- Spatial Systems -- Parallel Computations with DNA-Encoded Chemical Reaction Networks -- 1 Harnessing Parallelization in Chemical Reaction Networks -- 1.1 D(R)NA-Based Deterministic Chemical Reaction Networks -- 1.2 CRNs Run on Inherently Parallel Processes -- 2 Creating Sub-Computations -- 2.1 No-Diffusion (Leak-Tight) Compartments -- 2.2 Compartment-Free Approaches -- 2.3 Intermediate Cases: Some Species Diffuse, Some Do Not -- 3 Discussion and Applications -- 3.1 Independent Compartments Containing an Identical Circuit but Receiving Different Inputs -- 3.2 Independent Compartments Containing Different Circuits, All Working on the Same Inputs -- 3.3 Cross-Talking Compartments Collaborating to Compute a Global Response -- References -- Social DNA Nanorobots -- 1 Introduction -- 1.1 Motivation -- 1.2 Summary of Our Results -- 1.3 Organization…”

Tabla de Contenidos: “…12.5 Relaxing Model Assumptions -- 12.5.1 Resistance formation and mutation -- 12.5.2 UD reversal -- 12.5.3 Spatial effects -- 12.6 Linking Theory and Experimentation -- 12.7 Alternative Configurations of UD -- 12.8 Areas of Future Interest -- 13 Tsetse Paratransgenesis: a Novel Strategy for Reducing the Spread of African Trypanosomiases -- 13.1 Tsetse as Vectors of Parasitic African Trypanosomes -- 13.2 Tsetse Reproduction and Symbiosis -- 13.2.1 Tsetse reproduction -- 13.2.2 Tsetse's endogenous endosymbionts -- 13.3 Utilizing Endogenous Endosymbionts for Tsetse Paratransgenesis -- 13.3.1 Recombinant Sodalis is well suited for tsetse paratransgenesis -- 13.3.2 Identification and expression of anti-trypanosomal effector molecules -- 13.3.3 Paratransgenic manipulation of tsetse midgut physiology to alter parasite infection dynamics -- 13.4 Utilizing Exogenous Bacteria for Tsetse Paratransgenesis -- 13.5 Mechanisms to Drive Parasite-Resistant Tsetse Phenotypes into Natural Populations -- 13.5.1 Exploiting Wolbachia-mediated mating incompatibilities -- 13.5.2 Modelling the efficacy of paratransgenic control -- 13.5.3 Polyandry and cytoplasmic incompatibility -- 13.6 Conclusions -- 14 Paratransgenic Control of Chagas Disease -- 14.1 Introduction -- 14.2 Chagas Disease -- 14.2.1 Epidemiology, ecology and modes of transmission of Chagas disease -- 14.2.2 Global spread of Chagas disease -- 14.3 Novel Approaches to Control of Chagas Disease -- 14.3.1 Paratransgenesis -- 14.3.2 Antimicrobial peptides as effector molecules -- 14.3.3 Single-chain antibodies -- 14.3.4 β-1-3-glucanase -- 14.3.5 Additional methods for bacterial modifications -- 14.4 From Bench Top to Field Trials -- 14.5 Conclusions -- 15 Asaia Paratransgenesis in Mosquitoes -- 15.1 Asaia -- 15.2 Paratransgenesis for Vector Control…”

Tabla de Contenidos: “…16.3.2 Explicit Calculation of the Spectrum -- 16.3.3 Topological Reasons for Damping -- 17 M-Functions: Definitions and Examples -- 17.1 The Graph M-Function -- 17.1.1 Motivation and Historical Hints -- 17.1.2 The Formal Definition -- 17.1.3 Examples -- 17.2 Explicit Formulas Using Eigenfunctions -- 17.3 Hierarchy of M-Functions for Standard Vertex Conditions -- 18 M-Functions: Properties and First Applications -- 18.1 M-Function as a Matrix-Valued Herglotz-Nevanlinna Function -- 18.2 Gluing Procedure and the Spectral Gap -- 18.2.1 Examples -- 18.3 Gluing Graphs and M-Functions -- 18.3.1 The M-Function for General Vertex Conditions at the Contact Set -- 18.3.2 Gluing Graphs with General Vertex Conditions -- Appendix 1: Scattering from Compact Graphs -- 19 Boundary Control: BC-Method -- 19.1 Inverse Problems: First Look -- 19.2 How to Use BC-Method for Graphs -- 19.3 The Response Operator and the M-Function -- 19.4 Inverse Problem for the One-DimensionalSchrödinger Equation -- 19.5 BC-Method for the Standard Laplacian on the Star Graph -- 19.6 BC-Method for the Star Graph with General Vertex Conditions -- 20 Inverse Problems for Trees -- 20.1 Obvious Ambiguities and Limitations -- 20.2 Subproblem I: Reconstruction of the Metric Tree -- 20.2.1 Global Reconstruction of the Metric Tree -- 20.2.2 Local Reconstruction of the Metric Tree -- 20.3 Subproblem II: Reconstruction of the Potential -- 20.4 Subproblem III: Reconstruction of the Vertex Conditions -- 20.4.1 Trimming a Bunch -- 20.4.2 Recovering the Vertex Conditions for an Equilateral Bunch -- 20.5 Cleaning and Pruning Using the M-functions -- 20.5.1 Cleaning the Edges -- 20.5.2 Pruning Branches and Bunches -- 20.6 Complete Solution of the Inverse Problem for Trees -- Appendix 1: Calculation of the M-function for the Cross Graph -- Appendix 2: Calderón Problem…”

Tabla de Contenidos: “…Moscou et la Russie -- Ville de Moscou et oblast de Moscou -- Demande globale -- Graphique 5. SALAIRES RÉELS VERSÉS -- Tableau 1. …”

Tabla de Contenidos: “…Ejemplo de manuscrito empírico 5.4. Ejercicio global 5.4.1. Texto: "La Memoria en relación con la Distracción Sonora" 5.4.2. …”

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

“…This textbook explains the structure of the industry in the UK and globally…”