Tabla de Contenidos: “…Stable isotope signatures of wood, its constituents and methods of cellulose extraction -- 6. Tree-Ring Stable Isotope Measurements: The Role of Quality Assurance and Quality Control to Ensure High Quality Data -- 7. …”

“…Recently, collagen-based biomedical materials have developed important and clinically effective materials that have become widely acceptable. However, collagen extraction from land animal sources is complex, time consuming, and expensive. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction to Web Scraping -- Learning about data on the internet -- Introduction to XPath (XML Path) -- Data extraction systems -- Web scraping techniques -- Traditional copy and paste -- Text grabbing and regular expression -- Document Object Model (DOM) -- Semantic annotation recognition -- Web scraping tools -- JavaScript tools -- Web crawling frameworks -- Web crawling environment in R -- Summary -- Chapter 2: XML Path Language and Regular Expression Language -- XML Path (XPath) -- Nodes -- Relationships between nodes -- Parent -- Child -- Sibling -- Ancestor -- Descendant -- Predicates -- Selecting unknown nodes -- Selecting several paths -- Regular expression language (Regex) -- How to match a single character -- How to match the characters of a set -- How to match words -- Exercises on RegEx and XPath -- RegEx exercises -- XPath exercises -- Summary -- Chapter 3: Web Scraping with rvest -- Introducing rvest -- Step-by-step web scraping with rvest -- Writing XPath rules -- Writing your first scraping script -- Playing with data -- Summary -- Chapter 4: Web Scraping with Rselenium -- Advantages and disadvantages of using Selenium for web scraping -- RSelenium -- Step-by-step web scraping with RSelenium -- Collecting data with RSelenium -- Summary -- Chapter 5: Storing Data and Creating Cronjob -- Cloud engine models -- Infrastructure as a service (IaaS) -- Platform as a service (PaaS) -- Software as a service (SaaS) -- Mobile backend as a service (MBaaS) -- Function as a service (FaaS) -- Some of the cloud services -- Amazon Web Services (AWS) -- Google Cloud -- Cronjob -- Storing data and creating schedule jobs for web scraping -- Creating an AWS RDS Instance…”

“…Drawing on ongoing research, this book presents a diverse set of case studies on: antimicrobial resistance, climate change-induced migration, energy extraction, big data, Covid-19, migration, foreign fighters, and cyberattacks. …”

Tabla de Contenidos: “…Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index …”

“…Today there is increasing pressure on the water infrastructure and although unsustainable water extraction and wastewater handling can continue for a while, at some point water needs to be managed in a way that is sustainable in the long-term. …”

“…With the aid of the previously mentioned advances, complex endodontic treatments can be carried out safely, hence guaranteeing patients a high level of care and, above all, saving teeth that would otherwise be doomed for extraction. General practitioners and, even more importantly, specialists in endodontics should implement these modern technologies in their practice. …”

Tabla de Contenidos: “…Spacefaring Animals and Their Humans: A Study in Extraction, Exploitation, and Co-Evolution -- Chapter 10. …”

“…Including coverage of new Elements 4.0 features, the straighten tool and the auto extraction tool, all the main features of Elements are covered - camera RAW, 16 bit editing, Healing Brush, Shadows/ Highlights, Reduce Noise and much more. …”

“…In many cases, however, mineral extraction causes severe destruction of the environment. …”

“…Rather, it also demonstrates the crucial intersectionality of multiple discourses around race, gender, nationality, coloniality, economy, markets, accessibility, pollution, and extraction, while simultaneously opening up and exploring intellectually rich avenues of inquiry.” — Jens Klenner, Assistant Professor, Bowdoin College, USA This open access edited collection explores various aspects of how oceanic im/ mobilities have been framed and articulated in the literary and cultural imagination. …”

“…The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications.Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV systemExplains AC and DC side of the solar PV system-based electricity generation with real-time examples Covers effective extraction of the energy from solar radiationIllustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system Includes MATLAB® based simulations and results on fault diagnosis including case studies This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics…”

“…Then, polarimetry makes possible new applications, especially in quantitative extraction of bio and geophysical variables. Also, the combination of polarimetry and interferometry allows also to explore the vertical structure of semi-transparent media, like crops and forests. …”

“…Il propose une analyse de la manière de construire la relation sujet/objet et de faire de la société une 'nature' qu'il devient possible d'observer à distance. Comment une telle extraction du sujet connaissant est-elle devenue pensable au XVIIIe siècle ? …”

“…In 2009, filmmaker Josh Fox learned his land was on top of the Marcellus Shale, a giant reservoir of natural gas, and that he would be paid to lease his land for natural gas extraction. Fox documented his cross-country trek to find out if the controversial process of hydraulic fracking is actually safe. …”
Ver más información

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part I: Splunk Architecture, Splunk SPL (Search Processing Language), and Splunk Knowledge Objects -- Chapter 1: An Overview of Splunk -- Overview of the Splunk Admin Exam -- Structure -- Requirements -- Blueprint -- An Introduction to Splunk -- The History of Splunk -- The Benefits of Splunk -- The Splunk Architecture -- Installing Splunk -- Installing Splunk on macOS -- Installing Splunk on Windows -- Adding Data in Splunk -- Summary -- Multiple-Choice Questions -- Further Reading -- Chapter 2: Splunk Search Processing Language -- The Pipe Operator -- Time Modifiers -- Understanding Basic SPL -- Search Language Syntax -- Boolean Operators in Splunk -- Syntax Coloring in SPL -- Sorting Results -- Sort -- Filtering Commands -- where -- dedup -- head -- tail -- Reporting Commands -- top -- rare -- history -- table -- stats -- Aggregate Functions -- Event Order Functions -- Multivalue stats and chart Functions -- Timechart Functions -- untable -- chart -- timechart -- Filtering, Modifying, and Adding Fields -- eval -- Comparison and Conditional Functions -- Conversion Functions -- Cryptographic Functions -- Date and Time Functions -- Informational Functions -- Mathematical Functions -- Multivalue eval Functions -- Statistical eval Functions -- Text Functions -- Trigonometric and Hyperbolic Functions -- Rex -- lookup -- Input Lookup -- Output Lookup -- Field -- Grouping Results -- Transaction -- Summary -- Multiple-Choice Questions -- References -- Chapter 3: Macros, Field Extraction, and Field Aliases -- Field Extraction in Splunk -- Regular Expressions -- Regular Expression Using Field Extraction -- Inline Regular Expression Using Field Extraction -- Delimiters -- Delimiters Using Field Extraction -- Macros…”

Tabla de Contenidos: “…Calculating free Shipping -- Calculating Tax -- We Need to Make It More Testable -- We need to Make It More Reusable -- Distinguishing Actions, Calculations, and Data -- Functions Have Inputs and Outputs -- Testing and Reuse Relate to Inputs and Outputs -- Extracting a Calculation from An Action -- Extracting Another Calculation from an Action -- Let's See All of Our Code in One Place -- Chapter 5: Improving the Design of Actions -- Aligning Design with Business Requirements -- Aligning the Function with Business Requirements -- Principle: Minimize Implicit Inputs and Outputs -- Reducing Implicit Inputs and Outputs -- Giving the Code a Once-Over -- Categorizing Our Calculations -- Principle: Design Is About Pulling Things Apart -- Improving the Design by Pulling add_item() Apart -- Extracting a Copy-On-Write Pattern -- Using add_item() -- Categorizing Our Calculations -- Smaller Functions and More Calculations -- Chapter 6: Staying Immutable in a Mutable Language -- Can Immutability be Applied Everywhere? …”

Tabla de Contenidos: “…Chapter 5: Testing in React -- Technical requirements -- Understanding why we need tests -- Learning about different types of tests -- Testing individual units with Jest -- Writing your first test -- Grouping tests -- Testing React components -- Learning about integration tests -- Learning about E2E tests using Cypress -- Installing Cypress -- Running our first E2E test -- Intercepting the network request -- Summary -- Chapter 6: Exploring Common Refactoring Techniques -- Technical requirements -- Understanding refactoring -- The common mistakes of refactoring -- Adding tests before refactoring -- Using Rename Variable -- Using Extract Variable -- Using Replace Loop with Pipeline -- Using Extract Function -- Using Introduce Parameter Object -- Using Decompose Conditional -- Using Move Function -- Summary -- Chapter 7: Introducing Test-Driven Development with React -- Technical requirements -- Understanding TDD -- Different styles of TDD -- Focusing on user value -- Introducing tasking -- Introducing the online pizza store application -- Breaking down the application requirements -- Implementing the application headline -- Implementing the menu list -- Creating the shopping cart -- Adding items to the shopping cart -- Refactoring the code -- Summary -- Part 3: Unveiling Business Logic and Design Patterns -- Chapter 8: Exploring Data Management in React -- Technical requirements -- Understanding business logic leaks -- Introducing the ACL -- Introducing a typical usage -- Using the fallback or default value -- Exploring the prop drilling issue -- Using the Context API to resolve prop drilling -- Summary -- Chapter 9: Applying Design Principles in React -- Technical requirements -- Revisiting the Single Responsibility Principle -- Exploring the render props pattern -- Using composition to apply the SRP…”

Tabla de Contenidos: “…Test your knowledge -- Chapter 6: Using Regular Expressions in Power BI -- Technical requirements -- A brief introduction to regexes -- The basics of regexes -- Literal characters -- Special characters in regex -- The ^ and anchors -- OR operators -- Negated character classes -- Shorthand character classes -- Quantifiers -- The dot -- Greedy and lazy matches -- Checking the validity of email addresses -- Checking the validity of dates -- Validating data using regex in Power BI -- Using regex in Power BI to validate emails with Python -- Using regex in Power BI to validate emails with R -- Using regex in Power BI to validate dates with Python -- Using regex in Power BI to validate dates with R -- Loading complex log files using regex in Power BI -- Apache access logs -- Importing Apache access logs in Power BI with Python -- Importing Apache access logs in Power BI with R -- Extracting values from text using regex in Power BI -- One regex to rule them all -- Using regex in Power BI to extract values with Python -- Using regex in Power BI to extract values with R -- Summary -- References -- Test your knowledge -- Chapter 7: Anonymizing and Pseudonymizing Your Data in Power BI -- Technical requirements -- De-identifying data -- De-identification techniques -- Information removal -- Data masking -- Data swapping -- Generalization -- Data perturbation -- Tokenization -- Hashing -- Encryption -- Understanding pseudonymization -- What is anonymization? …”

Tabla de Contenidos: “…Intro -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- Introduction -- References -- Main Trends -- 1 GDP and Its Composition -- References -- 2 GDP and GDP Per Head -- References -- 3 GDP per Head and Labour Productivity -- References -- 4 Spain's Performance in Comparative Perspective -- References -- 5 GDP, Income Distribution, and Welfare -- References -- Measurement -- 6 Measuring GDP, 1850-1958: Supply Side -- 6.1 Agriculture, Forestry and Fishing -- 6.1.1 Agriculture -- The Construction of Annual Quantity and Price Indices on Reduced Information -- Gross Value Added -- 6.1.2 Forestry -- 6.1.3 Fishing -- 6.1.4 Value Added for Agriculture, Forestry and Fishing -- 6.2 Industry -- 6.2.1 Manufacturing -- 6.2.2 Extractive Industries -- 6.2.3 Utilities -- 6.2.4 Value Added for Manufacturing, Extractive Industries and Utilities -- 6.3 Construction -- 6.3.1 Residential and Commercial Construction -- 6.3.2 Non-Residential Construction -- Railways -- Roads -- Hydraulic Infrastructure and Other Public Works -- 6.3.3 Value Added in Residential and Non-Residential Construction -- 6.4 Services -- 6.4.1 Transport and Communications -- 6.4.2 Wholesale and Retail Trade -- 6.4.3 Banking and Insurance -- 6.4.4 Ownership of Dwellings -- 6.4.5 Public Administration -- 6.4.6 Education and Health -- 6.4.7 Other Services -- 6.4.8 Value Added in Services -- 6.5 Total Gross Value Added and GDP at Market Prices -- References -- 7 Measuring GDP, 1850-1958: Demand Side -- 7.1 Consumption of Goods and Services -- 7.1.1 Private Consumption -- Foodstuffs, Beverages and Tobacco -- Clothing and Other Personal Articles -- Housing Current Expenses -- Household Consumption of Durable Goods -- Hygiene and Personal Care -- Transport and Communications -- Leisure -- Education, Financial and Other Services -- 7.1.2 Public Consumption…”