Tabla de Contenidos: “…/ Eva Josefsen -- Reflections on a career in indigenous intellectual property : Ngā Taonga Tuku Iho / Aroha Te Pareake Mead in conversation with Sequoia Short -- Maya K'iche' community responses to gender violence in Santa Cruz del Quiché, Guatemala / Rachel Sieder -- Reconceptualizing gendered violence : indigenous women's life projects and solutions / Lynn Stephen -- Indigenous autonomy : opportunities and pitfalls / John Cameron and Wilfredo Plata -- The implementation paradox : ambiguities of prior consultation and free, prior, and informed consent (FPIC) for Indigenous peoples' agency in resource extraction in Latin America / Riccarda Flemmer -- Indigenous-led spaces in environmental governance : implications for selfdetermined development / Almut Schilling-Vacaflor and Maria-Therese Gustafsson -- The role of traditional environmental knowledge in planetary well-being / Deborah McGregor, Danika Littlechild and Mahisha Sritharan -- Building Kiaʻi futures : Puʻuhonua o Puʻuhuluhulu and protecting Mauna Kea / Cameron Grimm -- Place attachment, sacred geography, and solidarity : indigenous conceptions of development as meaningful life in Mongolia and Norway / Andrei Marin and Mikkel Nils Sara --…”

Tabla de Contenidos: “…4.4.2 EEG Data Producer -- 4.5 Information Obtained by EEG Signals -- 4.5.1 System Structure -- 4.5.2 Numerical Examination -- 4.5.3 EEG Circumference -- 4.6 Discussion -- 4.6.1 Comparison Between IQ Levels With Different Methods -- 4.7 Conclusion -- References -- Chapter 5 Machine Learning Methods in Radio Frequency and Microwave Domain -- 5.1 Introduction -- 5.2 Background on Machine Learning -- 5.2.1 Clustering -- 5.2.2 Principal Component Analysis -- 5.2.3 Naïve Bayes Algorithms -- 5.2.4 Support Vector Machines -- 5.2.5 Artificial Neural Networks -- 5.3 ML in RF Circuit Modeling and Synthesis -- 5.4 Conclusion -- References -- Chapter 6 A Survey: Emotion Detection Using Facial Reorganization Using Convolutional Neural Network (CNN) and Viola-Jones Algorithm -- 6.1 Introduction -- 6.1.1 Purpose -- 6.1.2 Process Flow -- 6.2 Review of Literature -- 6.3 Report on Present Investigation -- 6.3.1 Analysis of the Model -- 6.3.1.1 Emotion Recognition -- 6.4 Algorithms -- 6.4.1 CNN -- 6.4.2 Advantages -- 6.4.3 Disadvantages -- 6.5 Viola-Jones Algorithm -- 6.5.1 Training -- 6.5.2 Detection -- 6.6 Diagram -- 6.6.1 Working Diagram for Systems -- 6.6.2 The Application's Use Case Diagram -- 6.7 Results and Discussion -- 6.8 Limitations and Future Scope -- 6.9 Summary and Conclusion -- References -- Chapter 7 Power Quality Events Classification Using Digital Signal Processing and Machine Learning Techniques -- 7.1 Introduction -- 7.2 Methodology for the Identification of PQ Events -- 7.3 Power Quality Problems Arising in the Modern Power System -- 7.3.1 Sag -- 7.3.2 Swell -- 7.3.3 Overvoltage -- 7.3.4 Undervoltage -- 7.3.5 Impulsive Transient -- 7.3.6 Oscillatory Transient -- 7.3.7 Harmonics -- 7.4 Digital Signal Processing-Based Feature Extraction of PQ Events -- 7.4.1 Wavelet Transform-Based Feature Extraction -- 7.4.2 Multiresolution Analysis…”

Tabla de Contenidos: “…Extrinsic Execution Times -- 5.3.2 The Concept of Safety Margins -- 5.3.3 Our Proposed Timing Methodology at a Glance -- 5.3.4 Overview of the Application Structure -- 5.3.5 Automatic Insertion and Removal of the Trace-points -- 5.3.5.1 How to insert the trace-points -- 5.3.5.2 How to remove the trace-points -- 5.3.6 Extract the Intrinsic Execution Time: The Isolation Mode -- 5.3.7 Extract the Extrinsic Execution Time: The Contention Mode -- 5.3.8 Extract the Execution Time in Real Situation: The Deployment Mode -- 5.3.9 Derive WCET Estimates -- 5.4 Summary -- References…”

Tabla de Contenidos: “…-- 9.2.1 Measuring Brain Activity -- 9.2.1.1 Without Surgery -- 9.2.1.2 With Surgery -- 9.2.2 Mental Strategies -- 9.2.2.1 SSVEP -- 9.2.2.2 Neural Motor Imagery -- 9.3 Data Collection -- 9.3.1 Overview of the Data -- 9.3.2 EEG Headset -- 9.3.3 EEG Signal Collection -- 9.4 Data Pre-Processing -- 9.4.1 Artifact Removal -- 9.4.2 Signal Processing and Dimensionality Reduction -- 9.4.3 Feature Extraction -- 9.5 Classification -- 9.5.1 Deep Learning (DL) Model Pipeline -- 9.5.2 Architecture of the DL Model -- 9.5.3 Output Metrics of the Classifier -- 9.5.4 Deployment of DL Model -- 9.5.5 Control System -- 9.5.6 Control Flow Overview -- 9.6 Control Modes -- 9.6.1 Speech Mode -- 9.6.2 Blink Stimulus Mapping -- 9.6.3 Text Interface -- 9.6.4 Motion Mode -- 9.6.5 Motor Arrangement -- 9.6.6 Imagined Motion Mapping -- 9.7 Compilation of All Systems -- 9.8 Conclusion -- References -- Chapter 10 Identification of Imagined Bengali Vowels from EEG Signals Using Activity Map and Convolutional Neural Network -- 10.1 Introduction -- 10.1.1 Electroencephalography (EEG) -- 10.1.2 Imagined Speech or Silent Speech -- 10.2 Literature Survey -- 10.3 Theoretical Background -- 10.3.1 Convolutional Neural Network -- 10.3.2 Activity Map -- 10.4 Methodology -- 10.4.1 Data Collection -- 10.4.2 Pre-Processing -- 10.4.3 Feature Extraction -- 10.4.4 Classification -- 10.5 Results -- 10.6 Conclusion -- Acknowledgment -- References -- Chapter 11 Optimized Feature Selection Techniques for Classifying Electrocorticography Signals -- 11.1 Introduction -- 11.1.1 Brain-Computer Interface -- 11.2 Literature Study -- 11.3 Proposed Methodology -- 11.3.1 Dataset -- 11.3.2 Feature Extraction Using Auto-Regressive (AR) Model and Wavelet Transform -- 11.3.2.1 Auto-Regressive Features -- 11.3.2.2 Wavelet Features -- 11.3.2.3 Feature Selection Methods…”

Tabla de Contenidos: “…Chapter 10 The Framework of Feature Extraction for Financial Fraud Behavior and Applications…”

Tabla de Contenidos: “….); BÚSQUEDA SOCIAL; EXTRACTION AND RANKING OF PRODUCT ASPECTS (...); CLASIFICACIÓN DE PREGUNTAS SIN RESPUESTA: (...); ANÁLISIS DE REDES DE INFLUENCIA EN TWITTER; MAPPING ROUTES OF SENTIMENTS; DETECCIÓN DE PLAGIO; N-GRAMAS DE CONTEXTO CERCANO PARA MEJORAR (...)…”

Tabla de Contenidos: “…Med. 2022, 11, 522" 63 -- Intraoperative Anterior Segment Optical Coherence -- Tomography in the Management of Cataract Surgery: State of the Art 67 -- IOL Power Calculations and Cataract Surgery in Eyes with Previous Small Incision Lenticule Extraction 81 -- Investigating the Prediction Accuracy of Recently Updated Intraocular Lens Power Formulas with Artificial Intelligence for High Myopia 91 -- Evaluation of Visual and Patient-Reported Outcomes, Spectacle Dependence after Bilateral Implantation with a Non-Diffractive Extended Depth of Focus Intraocular Lens Compared to Other Intraocular Lenses 99 -- Accuracy of Six Intraocular Lens Power Calculations in Eyes with Axial Lengths Greater than 28.0 mm 113 -- Dry Eye Following Femtosecond Laser-Assisted Cataract Surgery: A Meta-Analysis 123.…”

Tabla de Contenidos: “…Frontmatter -- Contents -- Acknowledgments -- Foreword -- SECTION I Introduction -- 1 An Evolving Agenda on Natural Resource-Based Development in Africa -- SECTION II Governance Framings at Local, National, and Global Levels -- 2 Corporate Framing of Sustainability in the Mineral Sector: "New Governance" Insights from South Africa -- 3 The Resource Curse and Limits of Petro-Development in Ghana's "Oil City": How Oil Production Has Impacted Sekondi-Takoradi -- 4 Stakeholder Salience and Resource Enclavity in Sub-Saharan Africa: The Case of Ghana's Oil -- 5 Gender, Land Grabbing, and Glocal Land Governance in Ghana and Uganda -- 6 Governing Artisanal Commodity Extraction in Cameroon: A Comparative Analysis of the Gold and Palm Oil Sectors -- SECTION III Critical Approaches to Inclusive Development: The Politics of Resource Nationalism, Local Procurement, and Community Engagement -- 7 Copper Economics and Local Entrepreneurs in Zambia: Accumulation by Dispossession and the Possibility of Dependent Development -- 8 "The Curse of Being Born with a Copper Spoon in Our Mouths": An Examination of the Changing Forms of Zambian Resource Nationalism -- 9 Promoting Mining Local Procurement through Systems Change: A Canadian NGO's Eforts to Improve the Development Impacts of the Global Mining Industry -- 10 The Promises and Pitfalls of Pursuing Inclusive, Sustainable Development through Resource Corridors in Africa -- 11 "Community Development" in Oil and Gas Projects: The Case of the West African Gas Pipeline Project -- SECTION IV Land and Human Security: Central Africa in Focus -- 12 Land, High-Value Natural Resources, and Conflict in the Central African Republic -- 13 Copper Stakes: Exclusion, Corporate Strategies, and Property Rights in the Democratic Republic of Congo -- 14 China and the Democratic Republic of Congo: What the Sicomines Agreement Tells Us about Beijing's Foreign Policy in Africa -- SECTION V Concluding Remarks and Reflections -- 15 Reflections on Natural Resource-Based Development in Africa in the 2020s -- Contributors -- Index…”

Tabla de Contenidos: “…Key Learnings from the Dow ICM Pilot in PolyurethanesThe Future at Dow Is Intellectual Capital Management; APPENDIX A MINING A PORTFOLIO FOR VALUE; Understanding Your Claim; What to Look For; Value Extraction Objectives; How to Mine; The Portfolio Mining Process; APPENDIX B COMPETITIVE ASSESSMENT; Introduction; Why Perform a Competitive Assessment; Company Position; Key Indicators of Need; General Approach; Conclusion; APPENDIX C INTEGRATED PERFORMANCE REPORTING; Background and Overview; A Framework for Evaluating Integrated Performance Reporting Practice and Capabilities…”

Tabla de Contenidos: “…Automating Analysis and Extending Capabilities; Introduction; Graphical Investigation Environments; Automating Artifact Extraction; Timelines; Summary; References; Appendix A. …”

Tabla de Contenidos: “…. -- Gingival Recessions and Periodontal Status after Minimum 2-Year-Retention -- Post-Non-Extraction Orthodontic Treatment -- Reprinted from: Appl. …”

Tabla de Contenidos: “…Johnson and Daniel F. McCaffrey -- Extracting linguistic signal from item text and its application to modeling item characteristics / Victoria Yaneva, Peter Baldwin, Le An Ha, and Christopher Runyon -- Stealth literacy assessment : leveraging games and NLP in iSTART / Ying Fang, Laura K. …”

Tabla de Contenidos: “…Paul Henry S.J. (1906-1984) -- 2.1. Life -- 2.2. Extracts from the Memoirs of Paul Henry S.J.: Souvenirs d'un jesuite itinerant -- 2.3. …”

Tabla de Contenidos: “…Toxic legacies of slickens in California: a mobile heritage of hydraulic mining debris -- Introduction: critical pedagogies of the toxic -- Slickens -- Making visible -- Looking forward -- References -- Visual essay 1. Extraction old and new: Toxic legacies of mining the desert in southwestern Africa -- Roots and routes of extraction -- Ilmenite -- Diamonds -- Copper -- Zinc -- Acid and Arsenic -- Uranium -- Future mining -- Acknowledgements -- Notes -- Bibliography (all URLs last accessed 17 July 2022) -- 2. …”

Tabla de Contenidos: “…17.2.3 Comparisons between NGS Methods -- 17.3 Collection, Storage, and DNA Extraction Methodology -- 17.3.1 Sample Collection and Storage -- 17.3.2 DNA Extraction and Quantification -- 17.4 DNA Sequencing and Post-processing -- 17.5 Metabolic Modelling of the Human Gut Microbiome -- References -- 18 The Role of Probiotics and Prebiotics in Gut Modulation -- 18.1 Introduction -- 18.2 Probiotics and Prebiotics: A Functional Perspective -- 18.3 Diet and its Effect on Gut Microbiota -- 18.4 Modification of Intestinal Microbiota by the Application of Probiotics and Prebiotics -- 18.4.1 Dysbiosis and Human Diseases -- 18.4.2 How Probiotics Alter the Intestinal Microbiota -- 18.4.3 Probiotics and Intestinal Immunomodulation -- 18.4.4 Probiotics and Prebiotics on Intestinal Neuroimmunology -- 18.5 Prebiotics and Gut Immunity -- 18.5.1 Effects (Direct and Indirect) of Prebiotics on the Immune System -- 18.6 Conclusions and Future Research -- References -- 19 Probiotics, Prebiotics, and Synbiotics: A Potential Source for a Healthy Gut -- 19.1 Introduction -- 19.2 Prebiotics -- 19.2.1 Types of Prebiotics -- 19.2.2 Functioning of Prebiotics -- 19.3 Probiotics -- 19.3.1 Characteristics of Probiotics -- 19.3.2 Mechanisms of Action of Probiotic Strains -- 19.3.3 Applications of Probiotics -- 19.4 Synbiotics -- 19.4.1 Selection Criteria -- 19.4.2 Mechanism of Action -- 19.4.3 Therapeutic Actions -- 19.5 Conclusion -- References -- 20 Current Status and Efficacy of Fecal Microbiota Transplantation for Patients Suffering from Irritable Bowel Syndrome -- 20.1 Introduction -- 20.2 Donor Selection -- 20.3 Safety Issues of FMT for IBS -- 20.4 Possible Mechanisms Underlying the Effects of FMT -- 20.5 Conclusion and Perspective -- References -- Index -- EULA…”

Tabla de Contenidos: “…-- Comparing LangChain with other frameworks -- Summary -- Questions -- Chapter 3: Getting Started with LangChain -- How to set up the dependencies for this book -- pip -- Poetry -- Conda -- Docker -- Exploring API model integrations -- Fake LLM -- OpenAI -- Hugging Face -- Google Cloud Platform -- Jina AI -- Replicate -- Others -- Azure -- Anthropic -- Exploring local models -- Hugging Face Transformers -- llama.cpp -- GPT4All -- Building an application for customer service -- Summary -- Questions -- Chapter 4: Building Capable Assistants -- Mitigating hallucinations through fact-checking -- Summarizing information -- Basic prompting -- Prompt templates -- Chain of density -- Map-Reduce pipelines -- Monitoring token usage -- Extracting information from documents -- Answering questions with tools -- Information retrieval with tools -- Building a visual interface -- Exploring reasoning strategies -- Summary -- Questions -- Chapter 5: Building a Chatbot like ChatGPT -- What is a chatbot? …”

Tabla de Contenidos: “…Implementing Analytics with Greenplum UAP -- Data loading for Greenplum Database and HD -- Greenplum data loading options -- External tables -- gpfdist -- gpload -- Hadoop (HD) data loading options -- Sqoop 2 -- Greenplum BulkLoader for Hadoop -- Using external ETL to load data into Greenplum -- Extraction, Load, and Transformation (ELT) and Extraction, Transformation, Load, and Transformation (ETLT) -- Greenplum target configuration -- Sourcing large volumes of data from Greenplum -- Unsupported Greenplum data types -- Push Down Optimization (PDO) -- Greenplum table distribution and partitioning -- Distribution -- Data skew and performance -- Optimizing the broadcast or redistribution motion for data co-location -- Partitioning -- Querying Greenplum Database and HD -- Querying Greenplum Database -- Analyzing and optimizing queries -- The ANALYZE function -- The EXPLAIN function -- Dynamic Pipelining in Greenplum -- Querying HDFS -- Hive -- Pig…”

Tabla de Contenidos: “…Working with your inventory -- 5.1 Typical tasks -- 5.2 Examining the effects of a change -- 5.2.1 Determining the effect of a change -- 5.2.2 Results of your exploration -- 5.3 Extracting code for reuse -- 5.3.1 Extract code from TRADERB -- 5.4 Extracting code for reuse on distributed…”

Tabla de Contenidos: “…. -- There's more... -- See also -- Extracting data from VCF files -- Getting ready -- How to do it... -- There's more... -- See also…”

Tabla de Contenidos: “…Sampling by time window -- Extracting audio signatures -- Building a song analyzer -- Selling data science is all about selling cupcakes -- Using Cassandra -- Using the Play framework -- Building a recommender -- The PageRank algorithm -- Building a Graph of Frequency Co-occurrence -- Running PageRank -- Building personalized playlists -- Expanding our cupcake factory -- Building a playlist service -- Leveraging the Spark job server -- User interface -- Summary -- Chapter 9: News Dictionary and Real-Time Tagging System -- The mechanical Turk -- Human intelligence tasks -- Bootstrapping a classification model -- Learning from Stack Exchange -- Building text features -- Training a Naive Bayes model -- Laziness, impatience, and hubris -- Designing a Spark Streaming application -- A tale of two architectures -- The CAP theorem -- The Greeks are here to help -- Importance of the Lambda architecture -- Importance of the Kappa architecture -- Consuming data streams -- Creating a GDELT data stream -- Creating a Kafka topic -- Publishing content to a Kafka topic -- Consuming Kafka from Spark Streaming -- Creating a Twitter data stream -- Processing Twitter data -- Extracting URLs and hashtags -- Keeping popular hashtags -- Expanding shortened URLs -- Fetching HTML content -- Using Elasticsearch as a caching layer -- Classifying data -- Training a Naive Bayes model -- Thread safety -- Predict the GDELT data -- Our Twitter mechanical Turk -- Summary -- Chapter 10: Story De-duplication and Mutation -- Detecting near duplicates -- First steps with hashing -- Standing on the shoulders of the Internet giants -- Simhashing -- The hamming weight -- Detecting near duplicates in GDELT -- Indexing the GDELT database -- Persisting our RDDs -- Building a REST API -- Area of improvement -- Building stories -- Building term frequency vectors…”