Tabla de Contenidos: “…Health Maintenance Organizations -- Computer-Stored Ambulatory Record Systems -- Single Hospitals or Medical Centers -- Theresa System -- Health Evaluation Through Logical Processing -- Beth Israel and Brigham and Women's Hospital System -- Lockheed's Early Clinical Information System -- Large Multihospital Systems -- Department of Veterans Affairs -- Department of Defense -- International Developments -- The Exmouth Project -- Selected Emerging Developments -- Chart Checker -- Problem-Knowledge Coupler -- Medical Logic Modules -- CLINICIAN INTERACTION AND RESISTANCE -- TECHNOLOGICAL BARRIERS -- The Human Interface and System Performance -- Text Processing -- Confidentiality and Security -- Health Data-Exchange Standards -- SUMMARY -- REFERENCES -- Appendix: the Computer-based Patient Record System Vendor Survey -- GENERAL OBSERVATIONS -- SURVEY FINDINGS -- 4 The Road to CPR Implementation -- DEVELOPMENT AND DIFFUSION FACTORS -- Barriers to Development -- Patient Record Definition -- Content and Format Standards -- Costs and Risks -- Barriers to Diffusion -- Environment of the Health Care System -- Leadership -- User Behavior, Education, and Training -- Costs -- Legal and Social Issues -- Network Needs -- ELEMENTS OF AN IMPLEMENTATION STRATEGY -- Change Agents and Stakeholders -- Health Care Professionals and Professional Associations -- Patients and Representatives of Patients -- Provider Institutions -- Third-party Payers -- Federal Government -- States -- Universities and Professional Schools -- Standard-setting Organizations -- Vendors -- Activities and Resources Critical to CPR Development -- Organizational Structure -- Federal Agency -- Private Sector Sponsorship -- Public-Private Commission or Consortium -- Preferred Approach -- Specific Steps for Change Agents -- SUMMARY -- REFERENCES…”

Tabla de Contenidos: “…The Children's Vaccine Initiative -- Copyright -- Preface -- Acknowledgments -- Contents -- 1 Executive Summary -- THE CHILDREN'S VACCINE INITIATIVE -- THE INSTITUTE OF MEDICINE REPORT -- COMMITTEE FINDINGS -- Resources and Infrastructure -- Vaccine Demand and Supply -- Demand -- Supply -- Innovation -- Investing in New and Improved Vaccines -- Stages of Vaccine Development -- Pilot Production -- Clinical Trials -- Scaleup and Large-Scale Manufacture -- Technology Transfer -- A STRATEGY TO ENHANCE U.S. …”

Tabla de Contenidos: “…UN PARTENARIAT FORT, D'ÉGAL À ÉGAL, AVEC LE SYSTÈME ÉDUCATIF -- 2.1 Le lien avec l'éducation s'accompagne d'une large reconnaissance de la part des pouvoirs publics -- 2.2 Le partenariat peut favoriser un accord plus vaste sur les objectifs des dispositifs d'AEPE -- 3. …”

Tabla de Contenidos: “…Développement des « Écoles à large base » aux Pays-Bas -- 3.4. Explorer des stratégies pour assurer des investissements adéquats dans le système -- L'investissement public dans l'EAJE -- Figure 3.4. …”

Tabla de Contenidos: “…9.3.7.2 Predators and Prey -- 9.3.7.3 Key Habitat Needs and Distribution -- 9.3.7.4 Fisheries -- 9.3.8 Red Drum (Sciaenops ocellatus) -- 9.3.8.1 Key Life-History Processes and Ecology -- 9.3.8.2 Predators and Prey -- 9.3.8.3 Key Habitat Needs and Distribution -- 9.3.8.4 Fisheries -- 9.3.9 Tilefish (Lopholatilus chamaeleonticeps) -- 9.3.9.1 Key Life-History Processes and Ecology -- 9.3.9.2 Predators and Prey -- 9.3.9.3 Key Habitat Needs and Distribution -- 9.3.9.4 Fisheries -- 9.3.10 King Mackerel (Scomberomorus cavalla) -- 9.3.10.1 Key Life-History Processes and Ecology -- 9.3.10.2 Predators and Prey -- 9.3.10.3 Key Habitat Needs and Distribution -- 9.3.10.4 Fisheries -- 9.3.11 Dolphinfish (Coryphaena hippurus) -- 9.3.11.1 Key Life-History Processes and Ecology -- 9.3.11.2 Predators and Prey -- 9.3.11.3 Key Habitat Needs and Distribution -- 9.3.11.4 Fisheries -- 9.3.12 Striped Mullet (Mugil cephalus) -- 9.3.12.1 Key Life-History Processes and Ecology -- 9.3.12.2 Predators and Prey -- 9.3.12.3 Key Habitat Needs and Distribution -- 9.3.12.4 Fisheries -- 9.3.13 Greater Amberjack (Seriola dumerili) -- 9.3.13.1 Key Life-History Processes and Ecology -- 9.3.13.2 Predators and Prey -- 9.3.13.3 Key Habitat Needs and Distribution -- 9.3.13.4 Fisheries -- 9.4 Population Dynamics of Shark and Ray Species -- 9.4.1 General Introduction -- 9.4.2 Stock Assessment and Management History -- 9.4.3 Small Coastal Sharks Group -- 9.4.3.1 Atlantic Sharpnose Shark -- 9.4.3.2 Blacknose Shark -- 9.4.3.3 Bonnethead Shark -- 9.4.3.4 Finetooth Shark -- 9.4.4 Large Coastal Sharks Group -- 9.4.4.1 Sandbar Shark -- 9.4.4.2 Blacktip Shark -- 9.4.5 Pelagic Sharks Group -- 9.4.6 Prohibited Sharks -- 9.4.6.1 Prohibited Sharks Formerly in the Small Coastal Sharks Group -- 9.4.6.2 Prohibited Sharks Formerly in the Large Coastal Sharks Group…”

Tabla de Contenidos: “…4.4.2 Explosion protection -- 4.4.3 Special care in relation to large vessels -- 4.4.4 Dust control, ATEX and DSEAR -- 4.4.5 Other tests always required to check compatibility -- 4.5 Conclusions -- 4.5.1 Choosing the right solutions -- 4.5.2 The need to 'know your enemy' -- 4.5.3 Future trends -- References -- 5 - Fuel pre-processing, pre-treatment and storage for co-firing of biomass and coal -- 5.1 Handling and storage of biomass at coal-fired power plants -- 5.1.1 General considerations -- 5.1.2 Unloading/discharge -- 5.1.3 Conveying -- 5.1.4 Silos/storage -- 5.1.5 Hardware modifications to convert existing dedicated coal-handling infrastructure -- 5.2 Biomass pre-treatment technologies -- 5.2.1 Torrefaction -- 5.2.2 Steam explosion -- 5.3 Industrial-scale experience with pre-treated biomass -- 5.4 Biological degradation -- 5.5 Pneumatic conveying -- 5.6 Mechanical durability and storage -- 5.7 Explosivity -- 5.7.1 Native dust and dust formation upon handling -- 5.7.2 Explosivity of raw biomass chips versus torrefied biomass pellets -- 5.7.3 Moisture content -- 5.7.4 Minimum explosible concentration (MEC) -- 5.7.5 Flame-front velocity -- 5.8 Conclusions and future trends -- Nomenclature -- Acknowledgement -- References -- 6 - Production of syngas, synfuel, bio-oils, and biogas from coal, biomass, and opportunity fuels -- 6.1 Introduction -- 6.2 Gasification -- 6.2.1 Coal -- 6.2.1.1 Technologies -- 6.2.1.2 Product properties -- 6.2.2 Biomass -- 6.2.2.1 Technologies -- 6.2.2.2 Fuel properties -- 6.2.3 Opportunity fuels -- 6.2.3.1 Technologies -- 6.2.3.2 Product properties -- 6.3 Biogas -- 6.3.1 Technologies -- 6.3.2 Fuel analysis -- 6.3.3 Quality control -- 6.4 Other methods for producing synthesis gas -- 6.4.1 Liquefaction -- 6.4.2 Carbonization -- 6.5 Syngas conversion to products -- 6.5.1 Technologies…”

Tabla de Contenidos: “…9.3.2 Case-study: Size-and-shape analysis and mutation -- 9.4 Edge-based shape coordinates -- 9.5 Investigating allometry -- 10 Shape and size-and-shape distributions -- 10.1 The uniform distribution -- 10.2 Complex Bingham distribution -- 10.2.1 The density -- 10.2.2 Relation to the complex normal distribution -- 10.2.3 Relation to real Bingham distribution -- 10.2.4 The normalizing constant -- 10.2.5 Properties -- 10.2.6 Inference -- 10.2.7 Approximations and computation -- 10.2.8 Relationship with the Fisher-von Mises distribution -- 10.2.9 Simulation -- 10.3 Complex Watson distribution -- 10.3.1 The density -- 10.3.2 Inference -- 10.3.3 Large concentrations -- 10.4 Complex angular central Gaussian distribution -- 10.5 Complex Bingham quartic distribution -- 10.6 A rotationally symmetric shape family -- 10.7 Other distributions -- 10.8 Bayesian inference -- 10.9 Size-and-shape distributions -- 10.9.1 Rotationally symmetric size-and-shape family -- 10.9.2 Central complex Gaussian distribution -- 10.10 Size-and-shape versus shape -- 11 Offset normal shape distributions -- 11.1 Introduction -- 11.1.1 Equal mean case in two dimensions -- 11.1.2 The isotropic case in two dimensions -- 11.1.3 The triangle case -- 11.1.4 Approximations: Large and small variations -- 11.1.5 Exact moments -- 11.1.6 Isotropy -- 11.2 Offset normal shape distributions with general covariances -- 11.2.1 The complex normal case -- 11.2.2 General covariances: Small variations -- 11.3 Inference for offset normal distributions -- 11.3.1 General MLE -- 11.3.2 Isotropic case -- 11.3.3 Exact isotropic MLE in R -- 11.3.4 EM algorithm and extensions -- 11.4 Practical inference -- 11.5 Offset normal size-and-shape distributions -- 11.5.1 The isotropic case -- 11.5.2 Inference using the offset normal size-and-shape model -- 11.6 Distributions for higher dimensions -- 11.6.1 Introduction…”

Tabla de Contenidos: “…2.2.2 Catalog and Clearinghouse Based on Service-Oriented Architecture and Standard Services -- 2.2.3 Semantic-Based Metadata Sharing and Data Discovery -- 2.3 Technological Issues and Solutions -- 2.3.1 Interoperability -- 2.3.2 Provenance and Updating -- 2.3.3 System Performance -- 2.3.4 Timely Updating -- 2.4 Design and Implementation of CLH -- 2.4.1 Architecture -- 2.4.2 Administration, User, and Group Management -- 2.4.3 Harvesting -- 2.4.4 Metadata Standards and Transformation -- 2.4.5 User Interface and Programming APIs -- 2.4.5.1 Search through Web Graphics User Interface -- 2.4.5.2 Remote Search -- 2.5 Usage and Operational Status -- 2.5.1 System Operations -- 2.5.2 System Metadata Status -- 2.5.3 Usage -- 2.6 Big Geospatial Data Challenges and Solutions -- 2.6.1 Data and Database -- 2.6.2 Distribution and Cloud Computing -- 2.6.3 Searching Performance and Index -- 2.7 Summary and Future Research -- Acknowledgments -- Notes -- References -- Chapter 3: Using a Cloud Computing Environment to Process Large 3D Spatial Datasets -- 3.1 Introduction -- 3.1.1 Big Spatial Data -- 3.1.2 Need for Cloud Computing Environment -- 3.2 Methodology -- 3.2.1 Iowa LiDAR Database -- 3.2.2 CLiPS Design and Implementation -- 3.3 Results -- 3.3.1 Application Example: DEM Generation Using Large LiDAR Datasets -- 3.3.2 Heuristic Models Development -- 3.4 Conclusions -- Acknowledgment -- References -- Chapter 4: Building Open Environments to Meet Big Data Challenges in Earth Sciences -- 4.1 Introduction -- 4.2 Technology Foundation and Methodology -- 4.2.1 Interoperability -- 4.2.2 Serviceability -- 4.2.3 Infrastructure -- 4.3 Discussions -- 4.4 Summary -- References -- Chapter 5: Developing Online Visualization and Analysis Services for NASA Satellite-Derived Global Precipitation Products during the Big Geospatial Data Era -- 5.1 Introduction…”

Tabla de Contenidos: “…CYN1 z/OS subsystem -- 7.1 What the CYN1 subsystem does and how -- 7.2 Install CYN1 -- 7.2.1 Preallocate data sets on z/OS -- 7.2.2 Extract the TAR file with CYN data sets -- 7.2.3 Transfer files from the PC to z/OS -- 7.2.4 Receive the files on z/OS -- 7.2.5 Define the subsystem CYN1 -- 7.2.6 Provide RACF authorization -- 7.2.7 Update PROC00 -- 7.2.8 Authorize data sets and update LNKLST -- 7.2.9 Install the IEFU83 exit -- 7.2.10 Start CYN1PROC -- 7.2.11 Optional customization for large WebSphere environments -- 7.3 Verify the CYN1 installation -- 7.3.1 Display commands to verify your installation -- 7.3.2 SCYNAUTH listing -- 7.3.3 SCYNPROC listing -- Chapter 8. …”

Tabla de Contenidos: “…2.8.1 Machine Learning Projects -- 2.8.2 Spam Detection Using Machine Learning -- 2.8.3 Spam Detection for YouTube Comments Using Naïve Bayes Classifier -- 2.8.4 Fake News Detection -- 2.8.5 House Price Prediction -- 2.8.6 Gold Price Prediction -- Bibliography -- Chapter 3 Multilayer Perceptron (in Neural Networks) -- 3.1 Multilayer Perceptron for Digit Classification -- 3.1.1 Implementation of MLP using TensorFlow for Classifying Image Data -- 3.2 Training Multilayer Perceptron -- 3.3 Backpropagation -- References -- Chapter 4 Kernel Machines -- 4.1 Different Kernels and Their Applications -- 4.2 Some Other Kernel Functions -- 4.2.1 Gaussian Radial Basis Function (RBF) -- 4.2.2 Laplace RBF Kernel -- 4.2.3 Hyperbolic Tangent Kernel -- 4.2.4 Bessel Function of the First-Kind Kernel -- 4.2.5 ANOVA Radial Basis Kernel -- 4.2.6 Linear Splines Kernel in One Dimension -- 4.2.7 Exponential Kernel -- 4.2.8 Kernels in Support Vector Machine -- References -- Chapter 5 Linear and Rule-Based Models -- 5.1 Least Squares Methods -- 5.2 The Perceptron -- 5.2.1 Bias -- 5.2.2 Perceptron Weighted Sum -- 5.2.3 Activation Function -- 5.2.3.1 Types of Activation Functions -- 5.2.4 Perceptron Training -- 5.2.5 Online Learning -- 5.2.6 Perceptron Training Error -- 5.3 Support Vector Machines -- 5.4 Linearity with Kernel Methods -- References -- Chapter 6 Distance-Based Models -- 6.1 Introduction -- 6.1.1 Distance-Based Clustering -- 6.2 K-Means Algorithm -- 6.2.1 K-Means Algorithm Working Process -- 6.3 Elbow Method -- 6.4 K-Median -- 6.4.1 Algorithm -- 6.5 K-Medoids, PAM (Partitioning Around Medoids) -- 6.5.1 Advantages -- 6.5.2 Drawbacks -- 6.5.3 Algorithm -- 6.6 CLARA (Clustering Large Applications) -- 6.6.1 Advantages -- 6.6.2 Disadvantages -- 6.7 CLARANS (Clustering Large Applications Based on Randomized Search) -- 6.7.1 Advantages -- 6.7.2 Disadvantages…”

Tabla de Contenidos: “…-- 1.3 Advantages of Hybrid Perovskite Solar Cells -- 1.3.1 Band Gap Tunability -- 1.3.2 High Voc -- 1.3.3 Low Temperature Coefficient -- 1.4 Challenges for Hybrid Perovskites -- 1.4.1 Requirement of Improved Stability -- 1.4.2 Large‐Area Solar Cells -- 1.4.3 Toxicity of Pb and Sn Compounds -- 1.5 Overview of this Book -- Acknowledgment -- References -- Chapter 2 Overview of Hybrid Perovskite Solar Cells -- 2.1 Introduction -- 2.2 Historical Backgrounds of Halide Perovskite Photovoltaics -- 2.3 Semiconductor Properties of Organo Lead Halide Perovskites -- 2.4 Working Principle of Perovskite Photovoltaics -- 2.5 Compositional Design of the Halide Perovskite Absorbers -- 2.6 Strategy for Stabilizing Perovskite Solar Cells -- 2.7 All Inorganic and Lead‐Free Perovskites -- 2.8 Development of High‐Efficiency Tandem Solar Cells -- 2.9 Conclusion and Perspectives -- References -- Part I Characteristics of Hybrid Perovskites -- Chapter 3 Crystal Structures -- 3.1 What Is Hybrid Perovskite? …”

Tabla de Contenidos: “…Intensive Difference -- II The Matter in Brownian Motion -- 5 From Throwing the Dice to Grasping Brownian Motion -- 5.1 The Meaning of Probability -- 5.1.1 The Law of Large Numbers -- 5.1.2 Intuition -- 5.1.3 Matter -- 5.1.4 Reality -- 5.1.5 Tense -- 5.2 Changing the Meaning of Matter -- 5.2.1 Money -- 5.2.2 Time is not money -- 5.2.3 Money is place -- 5.3 Changing the Meaning of Reality -- 5.3.1 Ex-ante vs. ex-post -- 5.3.2 Brownian motion -- 6 From the Marvel of Brownian Motion to the Reality of the Market -- 6.1 The Technology of the Market -- 6.2 The Reality of the Market -- 6.3 The Market as an Inverted Order of Thought -- III The Matter in Contingency -- 7 The Paper and the Tree -- 7.1 The Market and Time -- 7.1.1 Contingency, writing and exchanging -- 7.1.2 Price and time -- 7.1.3 Price and the event -- 7.1.4 Price and the trace -- 7.2 From the Mark to the Whole Market -- 7.2.1 Contingent payoff vs. contingent claim (first take) -- 7.2.2 The invention of writing (first take) -- 7.2.3 The exchange and the abyss -- 8 Archaeology of the Multiple -- 8.1 To Be vs. …”

Tabla de Contenidos: “…Evaluating machine learning models -- Training, validation, and test split -- Simple holdout validation -- K-fold validation -- K-fold validation with shuffling -- Data representativeness -- Time sensitivity -- Data redundancy -- Data preprocessing and feature engineering -- Vectorization -- Value normalization -- Handling missing values -- Feature engineering -- Overfitting and underfitting -- Getting more data -- Reducing the size of the network -- Applying weight regularization -- Dropout -- Underfitting -- Workflow of a machine learning project -- Problem definition and dataset creation -- Measure of success -- Evaluation protocol -- Prepare your data -- Baseline model -- Large model enough to overfit -- Applying regularization -- Learning rate picking strategies -- Summary -- Chapter 5: Deep Learning for Computer Vision -- Introduction to neural networks -- MNIST - getting data -- Building a CNN model from scratch -- Conv2d -- Pooling -- Nonlinear activation - ReLU -- View -- Linear layer -- Training the model -- Classifying dogs and cats - CNN from scratch -- Classifying dogs and cats using transfer learning -- Creating and exploring a VGG16 model -- Freezing the layers -- Fine-tuning VGG16 -- Training the VGG16 model -- Calculating pre-convoluted features -- Understanding what a CNN model learns -- Visualizing outputs from intermediate layers -- Visualizing weights of the CNN layer -- Summary -- Chapter 6: Deep Learning with Sequence Data and Text -- Working with text data -- Tokenization -- Converting text into characters -- Converting text into words -- N-gram representation -- Vectorization -- One-hot encoding -- Word embedding -- Training word embedding by building a sentiment classifier -- Downloading IMDB data and performing text tokenization -- torchtext.data -- torchtext.datasets -- Building vocabulary -- Generate batches of vectors…”

Tabla de Contenidos: “…Allowing users to add dynamic components to the app -- Introducing pattern-matching callbacks -- Summary -- Chapter 11: URLs and Multi-Page Apps -- Technical requirements -- Getting to know the Location and Link components -- Getting to know the Link component -- Parsing URLs and using their components to modify parts of the app -- Restructuring your app to cater to multiple layouts -- Displaying content based on the URL -- Adding dynamically generated URLs to the app -- Incorporating the new URL interactivity into the app -- Summary -- Chapter 12: Deploying Your App -- Technical requirements -- Establishing the general development, deployment, and update workflow -- Creating a hosting account and virtual server -- Connecting to your server with SSH -- Running the app on the server -- Setting up and running the app with a WSGI -- Setting up and configuring the web server -- Managing maintenance and updates -- Fixing bugs and making changes -- Updating Python packages -- Maintaining your server -- Deploying and scaling Dash apps with Dash Enterprise -- Initializing the app -- Building your application (optional) -- Preparing your project folder -- Deploying your application on Dash Enterprise -- Summary -- Chapter 13: Next Steps -- Technical requirements -- Expanding your data manipulation and preparation skills -- Exploring more data visualization techniques -- Exploring other Dash components -- Creating your own Dash component -- Operationalizing and visualizing machine learning models -- Enhancing performance and using big data tools -- Going large scale with Dash Enterprise -- Dash Design Kit -- App Manager -- Snapshot Engine -- Better performance with Job Queue -- Corporate security -- Consulting services -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…References -- Chapter 6: An Arbitrage-free Large Market Model for Forward Spread Curves -- 6.1. …”

Tabla de Contenidos: “…Dissonant work schedules between companies and laboratories -- 5.1.2. Belonging to the large biotechnology family or disciplinary demarcation logics? …”

Tabla de Contenidos: “…Intro -- Foreword -- Preface -- Teachers -- Scientific Committee -- Acknowledgements -- Contents -- Contributors -- 1 X-Ray Sources at Large-Scale Facilities -- 1.1 Introduction -- 1.2 A Brief Description of Synchrotrons -- 1.2.1 Introduction -- 1.2.2 The Lorentz Factor -- 1.2.3 Dipole Radiation and Synchrotron Radiation -- 1.2.4 Spectral Flux, Emittance, and Brilliance -- 1.2.5 The Radio-Frequency Power Supply -- 1.2.6 Radiation Equilibrium -- 1.2.7 Coherence -- 1.3 Sources of Synchrotron Radiation -- 1.3.1 Bending Magnets and Wigglers -- 1.3.2 Undulators -- 1.3.3 Polarization of Synchrotron Radiation -- 1.4 Diffraction-Limited Storage Rings -- 1.5 X-Ray Free-Electron Lasers -- 1.5.1 XFEL Architecture -- 1.5.2 The SASE Process -- 1.5.3 Concluding Remarks -- 1.6 Summary -- References -- 2 Concepts in Magnetism -- 2.1 Introduction -- 2.2 Exchange -- 2.2.1 Direct Exchange -- 2.2.2 Indirect Exchange -- 2.2.3 Superexchange -- 2.3 Consequences of the Heisenberg Exchange Interaction -- 2.3.1 Two Interacting Spin-12 Particles -- 2.3.2 A Chain of Spins -- 2.3.3 Three Spins -- 2.4 Orbitals -- 2.4.1 Transition Metal Ions -- 2.4.2 Spin-Orbit Interaction and Crystal Fields -- 2.4.3 Jahn-Teller Effect -- 2.5 Conclusion -- References -- 3 Electronic Structure Theory for X-Ray Absorption and Photoemission Spectroscopy -- 3.1 Introduction -- 3.2 Light-Matter Interaction -- 3.3 Ground State Electronic Structure Theory -- 3.3.1 Hartree-Fock Approximation -- 3.3.2 Density Functional Theory -- 3.4 Absorption Spectra in the Independent Particle Approximation -- 3.4.1 Dipole Selection Rules and Density of States -- 3.5 Absorption Spectra in Linear Response TDDFT -- 3.5.1 Time-Dependent Density Functional Theory -- 3.5.2 Linear Response Theory -- 3.5.3 Absorption Spectra -- 3.6 Photoemission Spectroscopy -- 3.6.1 Angle-Resolved Photoemission Spectroscopy…”

Tabla de Contenidos: “…The Sustainable Development Goal financing gap increased due in large part to the severe decline in government revenues -- 2.2. …”

Tabla de Contenidos: “…How to Pace a Course for a Large Group with Wildly Diverse Needs -- What Not to Do when Training Diverse Groups -- How to Work with the Slowpoke -- How to Work with the Whiz Kid -- Summary -- Chapter 6: Anatomy of an 8:00 a.m. …”

Tabla de Contenidos: “…-- SOLID design principle -- Single responsibility principle -- Open closed principle -- Liskov substitution principle -- Interface segregation -- Dependency inversion -- Code smell -- Comment smell -- Long method -- Long parameter list -- Duplicate code -- Conditional complexity -- Large class -- Dead code -- Primitive obsession -- Data class -- Feature envy -- Summary -- Index…”