Tabla de Contenidos: “…-- Step 2 - downloading node.js -- Windows or Mac -- Step 1 - downloading Windows/MAC installer -- Step 2 - running the installer -- Step 3 - testing -- Linux and other Unices -- One step installation -- Foolproof installation -- Step 1 - getting the binary -- Step 2 - extracting the file -- Step 3 - testing -- Step 4 - symlink -- Step 5 - testing symlink -- Installing via nvm and nave (recommended) -- Building and installing from source -- And that's it! …”

Tabla de Contenidos: “…Overlapping groupsSummary; Chapter 4: Look Around; Look ahead; Negative look ahead; Look around and substitutions; Look behind; Negative look behind; Look around and groups; Summary; Chapter 5: Performance of Regular Expressions; Benchmarking regular expressions with Python; The RegexBuddy tool; Understanding the Python regex engine; Backtracking; Optimization recommendations; Reuse compiled patterns; Extract common parts in alternation; Shortcut to alternation; Use non-capturing groups when appropriate; Be specific; Don't be greedy; Summary; Index…”

Tabla de Contenidos: “…Using an Ultrasound-Enhanced ATR-FTIR Spectroscopy Prob -- Modelling Mixed Microbial Culture Polyhydroxyalkanoate Accumulation Bioprocess towards Novel Methods for Polymer Production Using Dilute Volatile Fatty Acid Rich Feedstocks -- Cell Retention as a Viable Strategy for PHA Production from Diluted VFAs with Bacillus megaterium -- Review of the Developments of Bacterial Medium-Chain-Length Polyhydroxyalkanoates (mcl-PHAs) -- Poly(3-mercapto-2-methylpropionate), a Novel α-Methylated Bio-Polythioester with Rubber-like Elasticity, and Its Copolymer with 3-hydroxybutyrate: Biosynthesis and Characterization -- Subcritical Water as a Pre-Treatment of Mixed Microbial Biomass for the Extraction of Polyhydroxyalkanoates -- Improved Processability and Antioxidant Behavior of Poly(3-hydroxybutyrate) in Presence of Ferulic Acid-Based Additives -- Antioxidant Network Based on Sulfonated Polyhydroxyalkanoate and Tannic Acid Derivative -- A New Wave of Industrialization of PHA Biopolyesters…”

Tabla de Contenidos: “…Gene Bell-Villada: Garcia Marquez as public intellectual -- Claire Taylor: Women writers in Colombia -- Gina Ponce de Leon: Colombian queer narrative -- Mark Anderson and Marcela Reales: Extracting nature: toward an ecology of Colombian narrative -- Ana María Mutis and Elizabeth Pettinaroli: Visions of nature: Colombian literature and the environment from the colonial period to the nineteenth century -- Enrique Salas-Durazo: The intersections between poetry and fiction in two Colombian writers of the twentieth century: Alvaro Mutis and Darío Jaramillo Agudelo: Colombian literature: national treasure or fraud? …”

Tabla de Contenidos: “…Preface -- 1 Single Channel Audio Source Separation NMF; Cédric Févotte, Emmanuel Vincent, and Alexey Ozerov -- 2 Separation of known sources using non-negative spectrogram factorization; Tuomas Virtanen and Tom Barker -- 3 Dynamic Non-Negative models for audio source separation; Paris Smaragdis, Gautham Mysore, Nasser Mohammadiha -- 4 An introduction to multichannel NMF for audio source separation; Alexey Ozerov, Cédric Févotte and Emmanuel Vincent -- 5 General formulation of multichannel extensions of NMF variants; Hirokazu Kameoka, Hiroshi Sawada and Takuya Higuchi -- 6 Determined Blind Source Separation with Independent Low-Rank Matrix analysis; Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka and Hiroshi Saruwatari -- 7 Deep neural network based multichannel audio source separation; Aditya Arie Nugraha, Antoine Liutkus and Emmanuel Vincent -- 8 Efficient Source separation using bitwise neural networks; Minje Kim and Paris Smaragdis -- 9 DNN based mase estimation for supervised speech separation; Jitong Chen and DeLiang Wang -- 10 Informed spatial filtering based on constrained ICA; Hendrik Barfuss, Klaus Reindl and Walter Kellermann -- 11 Recent advances in multichannel source separation and denoising based on source sparseness; Nobutaka Ito, Shoko Araki, and Tomohiro Nakatani -- 12 Multimicrophone MMSE-based speech source separation; Shmulik Markovich-Golan, Isral Cohen and Sharon Gannot -- 13 Musical-Noise-Free blind speech extraction based on higher-order statistics analysis; Hiroshi Saruwatari and Ryoichi Miyazaki -- 14 Alternating diffusion maps for audio-visual source separation; David Dov, Ronen Talmon and Israel Cohen -- Index…”

Tabla de Contenidos: “….; 2.1 Introduction: a wider perspective on sustainability and the built environment; 2.2 Ecosystem services analysis and whole building or urban design 2.3 Ecosystem services analysis and materials selection2.4 Benefits and difficulties of applying the ecosystem services concept to built environment design and materials selection; 2.5 Potential impacts on ecosystem services of common building materials; 2.5.1 Materials that are grown; 2.5.2 Materials that are extracted or mined; 2.5.3 Materials that are made or processed; 2.6 Conclusion: Materials selection and ecosystem services. …”

Tabla de Contenidos: “…-- Utility Types -- Record&lt -- Keys, Type&gt -- -- Pick&lt -- Type, Keys&gt -- -- Omit&lt -- Type, Keys&gt -- -- Partial&lt -- Type&gt -- -- Required&lt -- Type&gt -- -- Readonly&lt -- Type&gt -- -- Exclude&lt -- Type, Keys&gt -- -- Extract&lt -- Type, Keys&gt -- -- Parameters&lt -- FunctionType&gt -- -- ConstructorParameters&lt -- ClassType&gt -- -- ReturnType&lt -- FunctionType&gt -- -- Conditional Types -- extends Keyword -- infer Keyword -- Extracting Inferred Types -- Distributive and Nondistributive Conditional Types -- Conditional Types via Property Accessors -- Mapped Types -- Changing the Type of Fields -- Adding and Removing Fields -- Renaming Fields -- Recursive Types -- Recursion Within an Object Type -- Recursion over a Tuple Type -- Template Literals -- Summary -- Chapter 6: Advanced Usage -- Introduction -- Expect and IsEqual -- Compute -- JsonOf -- Flatten -- UrlParameters -- UrlParameters with Optional Params -- Further Reading -- Summary -- Chapter 7: Performance -- Introduction -- Reducing Inline Types -- Reducing Inferred Types -- Inline Caching Using Conditional Types -- Reduce Intersections -- Reduce Union Types -- Partition Using Packages and Projects -- Partitioning Using Packages -- Partitioning Using Projects -- Other Performance Tweaks -- Debugging Performance Issues -- Using the @typescript/analyze-trace NPM Package -- Using a Trace Viewer Within Your Browser -- Summary -- Chapter 8: Build -- Introduction -- Compiler Options -- Recommended tsconfig.json Settings -- Targeting Modern Browsers -- Prevent Optional Errors -- Display Complete Errors -- Enable Widest Range of Safe Interoperability -- Project Structure and Build Output -- Other Options -- Linting -- Installing ESLint -- Ideal Ruleset -- Additional Strict Errors -- Additional Strict Warnings -- Removed Rules…”

Tabla de Contenidos: “…Data Migration and Scrubbing; 4.1 Pumping Data; 4.2 Verification and Validation; 4.3 Extract, Transform, and Load (ETL); 4.4 Databases Also Evolved; 4.5 Data Warehouses; 4.6 Extract, Load, and then Transform (E-L-T); 4.7 Scrubbing Data with Non-First-Normal-Form (1NF) Tables; Chapter 5. …”

Tabla de Contenidos: “…Cover -- FM -- Copyright -- Contributors -- Table of Contents -- Preface -- Chapter 1: Connecting to Data -- Introduction to Data -- Making the Most Out of This Book - Your Certification and Beyond -- Connecting to Sources -- Data Structure -- Choosing an Appropriate Data Source Type -- Content and Quality -- Level of detail: Dimensions and Measures -- Data Quality -- Technical Requirements -- Performance: Data Size and Structure -- Microsoft Excel (.xlsx) and Comma-Separated Values (.csv) Types -- Relational Databases -- Initial Data Connections -- Connecting to Tableau Server or Tableau Cloud -- Connecting to a File -- CSV and Excel Files -- .hyper or .tde Files -- JSON -- PDF -- Spatial Files -- Statistical Files -- Connecting to Databases and Cloud Services -- Default Server Connectors -- Custom SQL Queries -- Introduction to SQL and Custom Queries in Tableau -- Live versus Extract Connections -- Live Connections -- Data Extracts -- Other Factors Affecting Performance -- Connection Management: the Datasource Pane and Data Tab -- The Datasource Window -- The Data Tab -- Making New Connections in Existing Workbooks -- Replacing Data Sources -- Notes, Caveats, and Unsupported Data Sources -- Web-Based Data Access: Drivers and APIs -- Multidimensional Systems -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 2: Transforming Data -- Introduction -- Types of Fields in Tableau -- Data Types -- Data Type Conversion -- Dimensions and Measures -- Dimensions and Measure Field Conversion -- Discrete and Continuous -- Dimension, Measure, Discrete, and Continuous Combinations -- Discrete and Continuous Color Legends -- Cleaning Data -- Assessing Data Quality -- Cleaning data on Tableau Desktop -- Duplicating and Renaming a Field Updating the Aliases -- Updating the Default Properties of Fields -- Data Interpreter…”

Tabla de Contenidos: “…Marine-derived nutraceuticals : trends and prospects / Se-Kwon Kim -- Nutritional value of sea lettuces / Se-Kwon Kim, Ratih Pangestuti -- Prospects and potential applications of seaweeds as neuroprotective agents / Se-Kwon Kim, Ratih Pangestuti -- Chitosan-based biomaterials against diabetes and related complications / Se-Kwon Kim, Fatih Karadeniz -- Nutraceutical benefits of marine steroid derivatives / Se-Kwon Kim, Quang Van Ta -- Nutritional value, bioactive compounds, and health-promoting properties of abalone / Mahanama De Zoyza -- Marine biopolymers in Asian nutraceuticals / Nghia Dang Ngo, Se-Kwon Kim -- Marine natural antihypertensive peptides from styela clava having multi-functions of ace inhibition and no production in endothelial cells / Seok-Chun Ko, Se-Kwon Kim, You-Jin Jeon -- Beneficial effects of marine natural products in auto-immune diseases / Mi Eun Kim ... [et al.] -- Extraction of nutraceuticals from shrimp by-products / Trang Si Trung, Willem Frans Stevens -- Fucoidan : a potential ingredient of marine nutraceuticals / Se Kwon Kim, Thanh-Sang Vo, Dai-Hung Ngo --…”
Acceso restringido con credenciales, usuarios UPSA

Tabla de Contenidos: “…Starch Production and Utilization -- Chapter 16: Study on the Transformation in Extraction and Consumption Processes of Sago Starch in a Traditional Society of Indonesia (Yoshihiko Nishimura) -- Chapter 17: Improvement of Sago Processing Machine (Darma) -- Chapter 18: The Structure and Characteristics of Sago Starch (Masanori Okazaki) -- Chapter 19: Recovery of Starch from Sago Pith Waste and Waste Water Treatment (Budi Santoso) -- Chapter 20: Acid modification of sago starch and its fiber for industrial application (Titi Candra Sunarti) -- Part 6. …”

“…For example, first steps have been made to identify the neural mechanisms supporting on-line extraction of words and statistical regularities from speech. …”

Tabla de Contenidos: “…CMLSA 2007 – International Workshop on Conceptual Modelling for Life Sciences Applications -- Preface to CMLSA 2007 -- Knowledge Discovery in Life Sciences -- Pattern Recognition of Single-Molecule Force Spectroscopy Data -- Massive Protein Structural Property Explorations Using New Indexing Mechanism -- Data Integration and Exchange in Health Informatics -- Data Access and Management in ACGT: Tools to Solve Syntactic and Semantic Heterogeneities Between Clinical and Image Databases -- Ontology-Based Data Integration in Data Logistics Workflows -- Model-Driven Development Based Transformation of Stereotyped Class Diagrams to XML Schemas in a Healthcare Context -- Conceptual Modelling for Biological Systems -- An Extendable System for Conceptual Modeling and Simulation of Signal Transduction Pathways -- Toward an Ontological Database for Subcellular Neuroanatomy -- Seed-Based Generation of Personalized Bio-ontologies for Information Extraction -- FP-UML 2007 – International Workshop on Foundations and Practices of UML -- Preface to FP-UML 2007 -- Improving the Use of UML Diagrams -- Developing State Diagrams Using a State Specialization Technique -- Quality Dependencies Among Use Case Models and Sequence Diagrams Developed by Novice Systems Analysts -- M-BPSec: A Method for Security Requirement Elicitation from a UML 2.0 Business Process Specification -- Model Transformations and Extensions -- Applying Model Transformation By-Example on Business Process Modeling Languages -- Extending OCL to Ensure Model Transformations -- A UML Profile for Modeling Data Warehouse Usage -- ONISW 2007 – InternationalWorkshop on Ontologies and Information Systems for the Semantic Web -- Preface to ONISW 2007 -- A Method for Semi-automatic Creation of Ontologies Based on Texts -- Enriching OWL with Instance Recognition Semantics for Automated Semantic Annotation -- Making Web Users’ Domain Models Explicit by Applying Ontologies -- Provability-Based Semantic Interoperability Via Translation Graphs -- QoIS 2007 – International Workshop on Quality of Information Systems -- Preface to QoIS 2007 -- PQM vs. …”

“…Usually, an increase in oil recovery can be achieved by using extraction intensification methods. However, measures to increase oil recovery can be implemented and carried out at any stage of the borehole implementation. …”

Tabla de Contenidos: “…Preface -- Part 1: Mathematical Modeling -- 1 -- Introduction to Mathematical Modeling -- Mathematical optimization -- Understanding the problem -- Formulation of the problem -- Signal processing -- Understanding the problem -- Formulation of the problem -- Control theory -- Understanding the problem -- Formulation of the problem -- Summary -- 2 -- Machine Learning vis-à-vis Mathematical Modeling -- ML as mathematical optimization -- Example 1 - regression -- Example 2 - neural network -- ML - a predictive tool -- E-commerce -- Sales and marketing -- Cybersecurity -- Mathematical modeling - a prescriptive tool -- Finance -- Retail -- Energy -- Digital advertising -- Summary -- Part 2: Mathematical Tools -- 3 -- Principal Component Analysis -- Linear algebra for PCA -- Covariance matrix - eigenvalues and eigenvectors -- Number of PCs - how to select for a dataset -- Feature extraction methods -- LDA - the difference from PCA -- Applications of PCA -- Noise reduction -- Anomaly detection -- Summary -- 4 -- Gradient Descent -- Gradient descent variants -- Application of gradient descent -- Mini-batch gradient descent and stochastic gradient descent -- Gradient descent optimizers -- Momentum -- Adagrad -- RMSprop -- Adam -- Summary -- 5 -- Support Vector Machine -- Support vectors in SVM -- Kernels for SVM -- Implementation of SVM -- Summary -- 6 -- Graph Theory -- Types of graphs -- Undirected graphs -- Directed graphs -- Weighted graphs -- Optimization use case -- Optimization problem -- Optimized solution -- Graph neural networks -- Summary -- 7 -- Kalman Filter -- Computation of measurements -- Filtration of measurements -- Implementation of the Kalman filter -- Summary -- 8 -- Markov Chain -- Discrete-time Markov chain -- Transition probability -- Application of the Markov chain -- Markov Chain Monte Carlo -- Gibbs sampling algorithm…”

“…The thermal-hydraulics is required for the design and analysis of the cooling and ancillary systems such as the blanket, the divertor, the cryogenic, and the balance of plant systems, as well as the tritium carrier, extraction and recovery systems. This Special Issue collects and documents the recent scientific advancements which include, but are not limited to: thermal-hydraulic analyses of systems and components, including magneto-hydrodynamics; safety investigations of systems and components; numerical models and code development and application; codes coupling methodology; code assessment and validation, including benchmarks; experimental infrastructures design and operation; experimental campaigns and investigations; scaling issue in experiments…”

“…The present book covers the main challenges, important for future prospects of subsoils extraction as a public effective and profitable business, as well as technologically advanced industry. …”

Tabla de Contenidos: “…Supervoxel Merging towards Brain Tumor Segmentation -- Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma -- Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks -- Optimization of Deep Learning based Brain Extraction in MRI for Low Resource Environments. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task -- Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation -- BRATS2021: exploring each sequence in multi-modal input for baseline U-net performance -- Automatic Brain Tumor Segmentation using Multi-scale Features and Attention Mechanism -- Simple and Fast Convolutional Neural Network applied to median cross sections for predicting the presence of MGMT promoter methylation in FLAIR MRI scans -- MSViT: Multi Scale Vision Transformer forBiomedical Image Segmentation -- Unsupervised Multimodal -- HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation -- Multimodal Brain Tumor Segmentation Algorithm -- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images -- Multi-plane UNet++ Ensemble for Glioblastoma Segmentation -- Multimodal Brain Tumor Segmentation using Modified UNet Architecture -- A video data based transfer learning approach for classification of MGMT status in brain tumor MR images -- Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021 -- 3D MRI brain tumour segmentation with autoencoder regularization and Hausdorff distance loss function -- 3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge -- Cascaded training pipeline for 3D brain tumor segmentation -- nnU-Net with Region-based Training and Loss Ensembles for Brain Tumor Segmentation -- Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining -- Automatic segmentation of brain tumor using 3D convolutional neural networks -- Hierarchical and Global Modality Interaction for Brain Tumor Segmentation -- Ensemble Outperforms Single Models in Brain Tumor Segmentation -- Brain Tumor Segmentation using UNet-Context Encoding Network -- Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI…”

“…Due to the importance of renewable energy in today's world, this book was designed to enhance the reader's knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. …”

“…The following study types were selected: randomized controlled trials (RCT) of screening for CAS; RCTs of CEA versus medical treatment; systematic reviews of screening tests; observational studies of harms from CEA. DATA EXTRACTION: Studies were reviewed, abstracted, and rated for quality using predefined USPSTF criteria. …”