Tabla de Contenidos: “…Undiscovered resourcesOther resources and materials; Recent developments in uranium extraction from phosphate rocks; Recent developments in uranium extraction from black shales; Other potential sources; Uranium from seawater; Thorium; Uranium exploration; Current activities and recent developments; North America; Central and South America; European Union; Europe (non EU); Africa; Middle East, Central and Southern Asia; South-eastern Asia; East Asia; Pacific; Uranium production; Present status of uranium production; Ownership; Employment; Production methods; Projected production capabilities…”

“…Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. …”

Tabla de Contenidos: “…Miniaturized Capillary Electrophoresis for the Separation and Identification of Biomolecules / Suresh K Kailasa, Vaibhavkumar N Mehta, Jigneshkumar V Rohit -- Portable Nanomaterials Impregnated Paper-Based Sensors for Detection of Chemical Substances / Khemchand Dewangan, Kamlesh Shrivas -- Miniaturized Analytical Technology in Agriculture / Vaibhavkumar N Mehta, Vimalkumar S Prajapati, Jigneshkumar V Rohit -- Solvent Extraction Coupled with Gas Chromatography for the Analysis of Polycyclic Aromatic Hydrocarbons in Riverine Sediment and Surface Water of Subarnarekha River and Its Tributary, India / Balram Ambade, Shrikanta S Sethi, Amit Kumar, Tapan K Sankar -- Laboratory-on-a-Chip: A Multitasking Device / Mansi Mehta, Bhikhu More, Tanvi Tamakuwala, Gaurav Shah -- Microscopic Tools for Cell Imaging / Parveen Parasar, Vivek K Singh -- Functionalized Nanomaterial for Miniaturized Devices. …”

Tabla de Contenidos: “…Chapter 4: Project Initiation and Risk AssessmentOverview; Project initiation; Risk assessment; How to audit project initiation; Conclusion; Chapter 5: Case Study PID & Risk Assessment; Overview; Case Study - extract of Project Initiation Document; Suggested response; Chapter 6: High-level Requirements; Overview; Gathering of requirements; Including controls in requirements; How to audit requirements gathering; Conclusion; Chapter 7: Case Study for High-level Requirements; Overview; Case study extract of requirements; Suggested response; Chapter 8: Building and Testing; Overview; Build phase…”

Tabla de Contenidos: “…-- Integration Procedure or server calls -- Comparing relationship notation and multiple extract steps -- Using multiple extract steps -- Using relationship notation -- Boosting performance by trimming the response JSON -- DataRaptors -- Integration Procedures -- How fast the Turbo Extract DataRaptor really is…”

Tabla de Contenidos: “…STEP 4: Exploring data -- Chapter 7. STEP 5: Extracting segments -- Chapter 8. STEP 6: Profiling segments -- Chapter 9. …”

Tabla de Contenidos: “…Editorial -- 23-Gauge Pars Plana Vitrectomy without Phacofragmentation for Dislocated Lens Fragments after Complicated Cataract Surgery -- Ranibizumab in Macular Edema Secondary to Retinal Vein Occlusion in a Real Life Practice: A Retrospective Case Series -- Photodynamic Therapy and Bevacizumab Combination for Polypoidal Choroidal Vasculopathy Refractory to Intravitreal Ranibizumab -- Duration of the operation has no effect on early visual acuity after small incision lenticule extraction surgery -- A Surgical Technique for Optic Pit Maculopathy: Vitrectomy Combined with Reversed ILM flap -- 23/25 Gauge Autologous Choroid-RPE Patch Transplantation -- Traumatic Macular Hole Repair Following Surgery for Subretinal Hemorrhage…”

Tabla de Contenidos: “…Table of Contents Understanding the End-to-End Machine Learning Process Choosing the Right Machine Learning Service in Azure Preparing the Azure Machine Learning Workspace Ingesting Data and Managing Datasets Performing Data Analysis and Visualization Feature Engineering and Labeling Advanced Feature Extraction with NLP Azure Machine Learning Pipelines Building ML Models Using Azure Machine Learning Training Deep Neural Networks on Azure Hyperparameter Tuning and Automated Machine Learning Distributed Machine Learning on Azure Building a Recommendation Engine in Azure Model Deployment, Endpoints, and Operations Model Interoperability, Hardware Optimization, and Integrations Bringing Models into Production with MLOps Preparing for a Successful ML Journey…”

Tabla de Contenidos: “…Chemistry with Schiff Bases of Pyridine Derivatives: Their Potential as Bioactive Ligands and Chemosensors -- 10. 2(4)-Aminopyridines as Ligands in the Coordination and Extraction Chemistry of Platinum Metals…”

Tabla de Contenidos: “…Chapter 1: Introduction to PyTorch, Tensors, and Tensor Operations -- Chapter 2: Probability Distributions Using PyTorch -- Chapter 3: CNN and RNN Using PyTorch -- Chapter 4: Introduction to Neural Networks Using PyTorch -- Chapter 5: Supervised Learning Using PyTorch -- Chapter 6: Fine-Tuning Deep Learning Models Using PyTorch -- Chapter 7: Natural Language Processing Using PyTorch -- Chapter 8: Distributed PyTorch Modelling, Model Optimization and Deployment -- Chapter 9: Data Augmentation, Feature Engineering and Extractions for Image and Audio -- Chapter 10: PyTorch Model Interpretability and Interface to Sklearn…”

Tabla de Contenidos: “…Private Law II: Business and Labour Law Appendix: Extracts from the German Constitution…”

Tabla de Contenidos: “…The importance of allergy in clinical practice -- Basic, "need-to-know" immunology -- Preparation of the office for allergy -- Interaction with the patient -- Testing methods for inhalant allergy -- Environmental control (avoidance) -- Pharmacotherapy of allergic rhinitis -- Vial preparation and immunotherapy -- Standardized extracts -- Blending skin testing and in vitro testing in clinical practice -- Allergic emergencies -- Nonallergic rhinitis -- Food allergy -- Pediatric allergy -- Allergy and sinus disease -- Allergic fungal sinusitis -- What lies ahead? …”

Tabla de Contenidos: “…-- Format a Range As a Table -- Creating a Table -- Changing or Removing Table Styles -- Naming the Table -- Working with Tables -- Table References in a Formula -- The Magic of @ -- Referencing Table Elements -- Make Table Column and Cell References Absolute -- Tables with Other Excel Features -- Dynamic Lists -- Dynamic Charts -- Summary -- Chapter 5: Manipulating Text -- Extract Characters from a Text String -- LEFT and RIGHT -- Extract Characters from the Middle of a String -- FIND and SEARCH for Irregular Strings -- Example 1: Extract Characters Before a Delimiter -- Example 2: Extract Characters After a Delimiter -- Example 3: Combining LEFT and RIGHT -- Example 4: Extract Text Between Two Characters -- Example 5: Extract Number from a Text String -- Change the Case of Text -- The LEN Function -- Convert Text to a VALUE -- The NUMBERVALUE Function -- Remove Unwanted Characters -- The TRIM Function -- The CLEAN Function -- SUBSTITUTE and REPLACE Functions -- The REPLACE Function -- The SUBSTITUTE Function -- Example 1: Simple SUBSTITUTE Example…”

Tabla de Contenidos: “…Python (or Perl) and Linux 2 1.2 Informatics and Data Analytics 3 1.3 FSA-Based Signal Acquisition and Bioinformatics 4 1.4 Feature Extraction and Language Analytics 7 1.5 Feature Extraction and Gene Structure Identification 8 1.5.1 HMMs for Analysis of Information Encoding Molecules 11 1.5.2 HMMs for Cheminformatics and Generic Signal Analysis 11 1.6 Theoretical Foundations for Learning 13 1.7 Classification and Clustering 13 1.8 Search 14 1.9 Stochastic Sequential Analysis (SSA) Protocol (Deep Learning Without NNs) 15 1.9.1 Stochastic Carrier Wave (SCW) Analysis - Nanoscope Signal Analysis 18 1.9.2 Nanoscope Cheminformatics - A Case Study for Device "Smartening" 19 1.10 Deep Learning using Neural Nets 20 1.11 Mathematical Specifics and Computational Implementations 21 2 Probabilistic Reasoning and Bioinformatics 23 2.1 Python Shell Scripting…”

Tabla de Contenidos:

Tabla de Contenidos: “…-- 11.2.3 Sequential solution for NER -- 11.3 Practical applications of NER -- 11.3.1 Data loading and exploration -- 11.3.2 Named entity types exploration with spaCy -- 11.3.3 Information extraction revisited -- 11.3.4 Named entities visualization -- Summary -- Conclusion -- Solutions to miscellaneous exercises -- Appendix A Installation instructions -- index -- inside back cover…”

Tabla de Contenidos: “…Types of data sources -- Getting started with data extraction -- CSV and Excel data files -- Parquet data files -- API connections -- Databases -- Data from web pages -- Creating a data extraction pipeline using Python -- Data extraction -- Logging -- Summary -- References -- Chapter 5: Data Cleansing and Transformation -- Technical requirements -- Scrubbing your data -- Data transformation -- Data cleansing and transformation in ETL pipelines -- Understanding the downstream applications of your data -- Strategies for data cleansing and transformation in Python -- Preliminary tasks - the importance of staging data -- Transformation activities in Python -- Creating data pipeline activity in Python -- Summary -- Chapter 6: Loading Transformed Data -- Technical requirements -- Introduction to data loading -- Choosing the load destination -- Types of load destinations -- Best practices for data loading -- Optimizing data loading activities by controlling the data import method -- Creating demo data -- Full data loads -- Incremental data loads -- Precautions to consider -- Tutorial - preparing your local environment for data loading activities -- Downloading and installing PostgreSQL -- Creating data schemas in PostgreSQL -- Summary -- Chapter 7: Tutorial - Building an End-to-End ETL Pipeline in Python -- Technical requirements -- Introducing the project -- The approach -- The data -- Creating tables in PostgreSQL -- Sourcing and extracting the data -- Transformation and data cleansing -- Loading data into PostgreSQL tables -- Making it deployable -- Summary -- Chapter 8: Powerful ETL Libraries and Tools in Python -- Technical requirements -- Architecture of Python files -- Configuring your local environment -- config.ini -- config.yaml -- Part 1 - ETL tools in Python -- Bonobo -- Odo -- Mito ETL -- Riko -- pETL -- Luigi…”

“…Despite this, it was difficult for the surgeons to transform from extracapsular cataract extraction to the new method - phacoemulsification. …”

“…Polymerase Chain Reaction for Biomedical Applications is a collection of chapters for both novice and experienced scientists and technologists aiming to address obtaining an optimized real-time PCR result, simultaneous processing of a large number of samples and assays, performing PCR and RT-PCR on cell lysate without extraction of DNA or RNA, detecting false-positive PCR results, detecting organisms in viral and microbial diseases and hospital environment, following safety assessments of food products, and using PCR for introduction of mutations. …”

“…Besides the preventive management, several approaches have been employed, including physical, chemical biological treatments and solvent extraction to detoxify AF in contaminated feeds and feedstuffs…”