“…Liquid biopsy shows promise for cancer screening and diagnostics. This reprint collects recent scientific literature on the identification and application of tumor biomarkers in biological fluids to improve the diagnosis of cancer and the identification of optimal therapeutic strategies…”

“…En este libro se exponen todos los aspectos esenciales para la práctica profesional en el ámbito de la salud mental ajustada a los códigos éticos y legislación vigente, y no solo a partir de los fundamentos teóricos sobre los que debe apoyarse el ejercicio profesional, sino también a partir de numerosos ejemplos reales que sirven de orientación. Los autores muestran, además, cómo un conocimiento profundo de estos aspectos, en combinación con el uso de un método sistemático para abordar y resolver los dilemas que surgen o podrían surgir en la práctica profesional cotidiana, son esenciales para una adecuada praxis. …”
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Tabla de Contenidos: “…Évolution prévue du secteur coréen de l'électricité -- Tableau 44. Nombre d'exploitants sur chaque marché -- Tableau 45. …”

Tabla de Contenidos: “…Capital-risque -- Graphique 41. Investissement coréen en capital-risque, par secteur -- Tableau 45. …”

Tabla de Contenidos: “…12.2 The Evolution of Users’ Experience: Usage, Expectations and Reluctances 316 -- 12.2.1 Broadcast Versus OTT: Towards a Spurious Opposition 316 -- 12.2.2 The Multi-Screen Multi-Device Anywhere Experience 317 -- 12.2.3 Business Experiences and Inevitable Evolution for the Stakeholders 319 -- 12.3 Architectural Evolution of IPTV: Towards a Smart Meld with OTT 320 -- 12.3.1 The Main Overhauls of IPTV: HTML5, Cloudification, Software-Defined Video 320 -- 12.3.2 Legacy IPTV Extending its Reach by Inspiring OTT Evolution: Multicast, Caching, Peer-to-Peer (P2P) 323 -- 12.3.3 Coordinating the OTT delivery entities to enforce IPTV-like quality of experience: Collaboration between ISPs, CDNs and CPs 329 -- 12.4 Technical focus 331 -- 12.4.1 P2P assistance to CDNs, caching and ICN 332 -- 12.4.2 TheWireless Video Challenge: In-HomeWiFi and Offloading of Cellular Networks 335 -- 12.4.3 VR: The greatest technological challenge ahead? …”

“…Frontiers in RNAi is a collection of research articles covering the applications of RNAi principles and technologies and has been compiled by members of the RNAi Global Initiative, a collection of academic and industrial groups with extensive experience in genome-wide RNAi screening. Chapters included in the first volume touch on some of the recent advances in RNAi technology (i.e., applications to 3D cell culture, drug repurposing, and bioproduction) and provide guidance on how to address the continued challenges associated with off-target effects, database structuring, and pooled shRNA screens…”

“…Students will get solid grounding in real-life applications of risk assessment, screening, and diagnostic testing…”

“…These tools include large-scale screening for potential genes using metagenomics, engineering of enzymes using computational techniques and site-directed mutagenesis and molecular evolution techniques. …”

Tabla de Contenidos: “…REGISTRO DE OBSERVACIÓN PARA EVALUACIÓN INICIAL -- 14.9. PROCESO DE SCREENING PARA EL ESTUDIO DE LA CAPACIDAD COGNITIVA -- 14.10. …”

Tabla de Contenidos: “…4.1.2 Know the Environment -- 4.2 Standards and Measurements -- 4.3 Failure‐Inducing Stressors -- 4.4 Common Test Types -- 4.4.1 Temperature Cycling -- 4.4.2 Temperature‐Humidity‐Bias Testing -- 4.4.3 Electrical Connection -- 4.4.4 Corrosion Tests -- 4.4.5 Power Cycling -- 4.4.6 Electrical Loads -- 4.4.7 Mechanical Bending -- 4.4.8 Random and Sinusoidal Vibration -- 4.4.9 Mechanical Shock -- 4.4.10 ALT Testing -- 4.4.11 Highly Accelerated Life Testing (HALT) -- 4.4.12 EMC Testing Dos and Don'ts -- 4.5 Test Plan Development -- 4.5.1 The Process -- 4.5.2 Failure Analysis -- 4.5.3 Screening Tests -- 4.5.4 Case Study One -- 4.5.5 Case Study Two -- 4.5.6 Case Study Three -- References -- Chapter 5 Design for Manufacturability -- 5.1 Introduction -- 5.2 Overview of Industry Standard Organizations -- 5.3 Overview of DfM Processes -- 5.3.1 The DfM Process -- 5.4 Component Topics -- 5.4.1 Part Selection -- 5.4.2 Moisture Sensitivity Level (MSL) -- 5.4.3 Temperature Sensitivity Level (TSL) -- 5.4.4 ESD -- 5.4.5 Derating -- 5.4.6 Ceramic Capacitor Cracks -- 5.4.7 Life Expectancies -- 5.4.8 Aluminum Electrolytic Capacitors -- 5.4.9 Resistors -- 5.4.10 Tin Whiskers -- 5.4.11 Integrated Circuits -- 5.5 Printed Circuit Board Topics -- 5.5.1 Laminate Selection -- 5.5.2 Surface Finish -- 5.5.3 Discussion of Different Surface Finishes -- 5.5.4 Stackup -- 5.5.5 Plated Through‐Holes -- 5.5.6 Conductive Anodic Filament (CAF) Formation -- 5.5.7 Copper Weight -- 5.5.8 Pad Geometries -- 5.5.9 Trace and Space Separation -- 5.5.10 Non‐Functional Pads -- 5.5.11 Shipping and Handling -- 5.5.12 Cleanliness and Contamination -- 5.6 Process Materials -- 5.6.1 Solder -- 5.6.2 Solder Paste -- 5.6.3 Flux -- 5.6.4 Stencils -- 5.6.5 Conformal Coating -- 5.6.6 Potting -- 5.6.7 Underfill -- 5.6.8 Cleaning Materials -- 5.6.9 Adhesives -- 5.7 Summary: Implementing DfM -- References…”

Tabla de Contenidos: “…Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1: MACHINE LEARNING FOR HANDLINGCOVID-19 -- 1 COVID-19 and Machine Learning Approaches to Deal With the Pandemic -- 1.1 Introduction -- 1.1.1 COVID-19 and its Various Transmission Stages Depending Upon the Severity of the Problem -- 1.2 COVID-19 Diagnosis in Patients Using Machine Learning -- 1.2.1 Machine Learning to Identify the People who are at More Risk of COVID-19 -- 1.2.2 Machine Learning to Speed Up Drug Development -- 1.2.3 Machine Learning for Re-Use of Existing Drugs in Treating COVID-19 -- 1.3 AI and Machine Learning as a Support System for Robotic System and Drones -- 1.3.1 AI-Based Location Tracking of COVID-19 Patients -- 1.3.2 Increased Number of Screenings Using AI Approach -- 1.3.3 Artificial Intelligence in Management of Resources During COVID-19 -- 1.3.4 Influence of AI on Manufacturing Industry During COVID-19 -- 1.3.5 Artificial Intelligence and Mental Health in COVID-19 -- 1.3.6 Can AI Replace the Human Brain Intelligence in COVID-19 Crisis? …”

Tabla de Contenidos: “…10.4.2 - Lightning and Thunderstorms -- 10.4.3 - Aircraft Impact -- 10.4.3.1 - Background -- 10.4.3.2 - Airfield Proximity -- 10.4.4 - Earthquake -- 10.4.5 - Meteorological Factors -- 10.4.6 - Other Consequences -- Part 4 - Achieving Reliability and Maintainability -- Chapter 11 - Design and Assurance Techniques -- 11.1 - Specifying and Allocating the Requirement -- 11.2 - Stress Analysis -- 11.3 - Environmental Stress Protection -- 11.4 - Failure Mechanisms -- 11.4.1 - Types of Failure Mechanism -- 11.4.2 - Failures in Semiconductor Components -- 11.4.3 - Discrete Components -- 11.5 - Complexity and Parts -- 11.5.1 - Reduction of Complexity -- 11.5.2 - Part Selection -- 11.5.3 - Redundancy -- 11.6 - Burn-In and Screening -- 11.7 - Maintenance Strategies -- Chapter 12 - Design Review, Test and Reliability Growth -- 12.1 - Review Techniques -- 12.2 - Categories of Testing -- 12.2.1 - Environmental Testing -- 12.2.2 - Marginal Testing -- 12.2.3 - High-Reliability Testing -- 12.2.4 - Testing for Packaging and Transport -- 12.2.5 - Multiparameter Testing -- 12.2.6 - Step-Stress Testing -- 12.3 - Reliability Growth Modeling -- 12.3.1 - The CUSUM Technique -- 12.3.2 - Duane Plots -- Chapter 13 - Field Data Collection and Feedback -- 13.1 - Reasons for Data Collection -- 13.2 - Information and Difficulties -- 13.3 - Times to Failure -- 13.4 - Spreadsheets and Databases -- Equipment code -- How found -- Type of fault -- Action taken -- Discipline -- Free text -- 13.5 - Best Practice and Recommendations -- 13.6 - Analysis and Presentation of Results -- 13.7 - Manufacturers' data -- 13.8 - Anecdotal Data -- 13.9 - Examples of Failure Report Forms -- 13.10 - No-Fault-Found (NFF) -- Chapter 14 - Factors Influencing Down Time -- 14.1 - Key Design Areas -- 14.1.1 - Access -- 14.1.2 - Adjustment -- 14.1.3 - Built-In Test Equipment…”

Tabla de Contenidos: “…Cover -- Wiley Series in Probability and Statistics -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- About the Companion Website -- Chapter 1 Refreshment Sampling for Longitudinal Surveys -- 1.1 Introduction -- 1.2 Principles -- 1.3 Sampling -- 1.3.1 Sampling Frame -- 1.3.2 Screening -- 1.3.3 Sample Design -- 1.3.4 Questionnaire Design -- 1.3.5 Frequency -- 1.4 Recruitment -- 1.5 Data Integration -- 1.6 Weighting -- 1.7 Impact on Analysis -- 1.8 Conclusions -- References -- Chapter 2 Collecting Biomarker Data in Longitudinal Surveys -- 2.1 Introduction -- 2.2 What Are Biomarkers, and Why Are They of Value? …”

Tabla de Contenidos: “…10.1.2 Creating the Web project -- 10.1.3 Configuring the iSeries run time -- 10.1.4 Creating the output JSP -- 10.1.5 Adding the Table Web component -- 10.1.6 Configuring the table's attributes -- 10.1.7 Creating the Web interaction -- 10.1.8 Testing the Web interaction -- 10.1.9 Integrating the Web interaction with the WebFacing application -- 10.1.10 Testing the Web interaction within the WebFacing application -- 10.2 Extending the WebFacing application with Database Web Pages -- 10.2.1 Creating the database Web pages -- 10.2.2 Testing the database Web pages -- 10.3 Displaying spooled files by calling another WebFacing application -- 10.3.1 Programs involved -- 10.3.2 Testing the function using the 5250 interactive session -- 10.3.3 Converting the application -- 10.3.4 Integrating the WebFacing application with the existing application -- 10.4 Using the traditional program to replace the unsupported feature -- 10.4.1 Traditional program with a display file -- 10.5 Integrating a HATS LE project into the WebFacing application -- 10.5.1 Installing HATS LE on WebSphere Application Server Version 5 -- 10.5.2 Configuring and administering HATS LE -- 10.5.3 Integrating HATS LE within the WebFacing application -- 10.5.4 Testing the command key action -- 10.6 Extending functionality through iSeries Access for Web -- 10.6.1 iSeries Access for Web -- 10.6.2 Using the command key within the WebFacing application -- 10.6.3 Defining the Web Settings to link the iSeries Access for Web -- 10.7 Working with spooled files using the IBM WebFacing Tool -- 10.7.1 Defining a report service command key -- 10.8 Using the built-in system screen support -- Chapter 11. Integration with other Web applications -- 11.1 Invoking the WebFacing application from other applications -- 11.1.1 How a WebFacing application is invoked -- 11.1.2 Static call of a WebFacing application…”

Tabla de Contenidos: “…SAP database administration -- 6.1 Architectural overview -- 6.2 Local and remote monitoring -- 6.2.1 Concept of remote monitoring -- 6.2.2 Configuration for remote system monitoring -- 6.3 Screen management -- 6.3.1 Common fields…”

Tabla de Contenidos: “…-- 10.2.2 Illustrating user journeys -- 10.2.3 Illustrating business logic in the user interface -- 10.2.4 Documenting and verifying screen-specific business logic -- 10.2.5 Showing how information is rendered in the user interface -- 10.2.6 Automating web-based acceptance criteria using Selenium WebDriver -- 10.2.7 Getting started with WebDriver in Java -- 10.2.8 Setting up a WebDriver driver -- 10.2.9 Integrating WebDriver with Cucumber -- 10.2.10 Sharing WebDriver instances between step definition classes -- 10.2.11 Interacting with the web page -- 10.2.12 How to locate elements on a page…”

Tabla de Contenidos: “…4.7.7 Sample Data Flow for Exception Handling -- 4.7.8 Sample Data Flow through Digital Twin Applications -- 4.7.9 Development Considerations -- 4.8 Database Considerations -- 4.9 Messaging -- 4.10 Interfaces -- 4.11 User Experience -- 4.12 Cyber Security -- 4.13 Use Case Coverage -- 4.14 Future Direction and Trends -- 4.15 Conclusion -- References -- Chapter 5 Role of Digital Twin Technology in Medical Sector-Toward Ensuring Safe Healthcare -- 5.1 Introduction to Digital Twin -- 5.2 Generic Applications of Digital Twin -- 5.3 Digital Twin Applications in Medical Field -- 5.3.1 Biosignal and Physiological Parameters Analysis for Body Area Network -- 5.3.2 Medicinal Drug Delivery -- 5.3.3 Surgical Preplanning -- 5.3.4 COVID 19 Screening and Diagnosis -- 5.4 Ongoing and Future Applications of Digital Twin in Healthcare Sector -- 5.5 Conclusion -- Acknowledgments -- References -- Chapter 6 Digital Twin as a Revamping Tool for Construction Industry -- 6.1 Introduction -- 6.2 Introduction to Digital Twin -- 6.3 Overview of Digital Twin in Construction -- 6.4 The Perks of Digital Twin -- 6.5 The Evolution of Digital Twin -- 6.6 Application of Digital Twin Technology in Construction Industry -- 6.7 Digital Twins Application for Construction Working Personnel Safety -- 6.8 Digital Twin Applications in Smart City Construction -- 6.9 Discussion -- 6.10 Conclusion -- References -- Chapter 7 Digital Twin Applications and Challenges in Healthcare -- 7.1 Introduction -- 7.2 Digital Twin -- 7.3 Applications of Digital Twin -- 7.3.1 Smart Cities -- 7.3.2 Manufacturing Sector -- 7.3.3 Healthcare -- 7.3.4 Aviation -- 7.3.5 The Disney Park -- 7.4 Challenges with Digital Twin -- 7.5 Digital Twin in Healthcare -- 7.5.1 Digital Twin for Hospital Workflow Management -- 7.5.2 Digital Twin for a Healthcare Facility…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface to Second Edition -- Preface to First Edition -- Introduction to Second Edition -- Chapter 1 Introduction -- Chapter 2 Basics of Thermoforming and Thermoplastics -- 2.1 THERMOFORMING METHODS -- 2.2 POSITIVE FORMING -- 2.3 NEGATIVE FORMING -- 2.4 ADVANTAGES AND DISADVANTAGES OF THERMOFORMING -- 2.5 THERMOFORMING MACHINES -- 2.5.1 Sheet-Processing Machines -- 2.5.2 Roll-Fed Machines -- 2.5.3 Skin and Blister Machines -- 2.5.4 Forming, Filling, and Sealing Machines -- 2.6 SEMIFINISHED THERMOPLASTIC PRODUCTS -- 2.6.1 Free Shrinkage -- 2.6.2 Mold Shrinkage -- Chapter 3 Production of Semifinished Products, Extrusion, and Coextrusion -- 3.1 EXTRUSION -- 3.1.1 No Thermoforming without Extrusion -- 3.1.2 Description: Volumetric/Gravimetric -- 3.1.3 Feed Section -- 3.1.4 Transition or Compression Section -- 3.1.5 Metering Section -- 3.1.6 Venting Section -- 3.1.7 Second Transition Section -- 3.1.8 Second Metering Section -- 3.1.9 Mixing Section -- 3.1.10 Screw Materials and Tolerances -- 3.1.11 The Barrel -- 3.1.12 The Vent -- 3.1.13 The Drive -- 3.1.14 Breaker Plate and Screen Pack -- 3.1.15 The Die -- 3.1.16 Static and Dynamic Mixers -- 3.1.17 Gear Pumps -- 3.1.18 Granulation and Material Feed Issues -- 3.1.19 The Output (Flow) of an Extruder -- 3.1.20 Sheet Roll Stack and Take-Away Equipment -- 3.1.21 The Polishing Roll Stack -- 3.1.22 Sideways Curling -- 3.1.23 Effects of a Rolling Bank -- 3.1.24 The Slitting Unit and Draw Rolls -- 3.1.25 The Finishing Section -- 3.1.26 Typical Barrel Temperature Profile for Polystyrene -- 3.1.27 Effect of Regrind on Extruder Output -- 3.2 COEXTRUSION -- Chapter 4 Introduction to Technical Parts -- Chapter 5 Antenna Radome Manufacturing -- 5.1 WEATHER-RESISTANT HIGH-IMPACT POLYSTYRENE -- 5.2 THE EFFECT OF UV LIGHT -- 5.3 WETTING RESISTANCE…”

Tabla de Contenidos: “…Types of breast cancer -- 4.1 Invasive ductal carcinoma -- 4.2 Ductal carcinoma in situ -- 4.3 Invasive lobular carcinoma -- 4.4 Lobular carcinoma in situ -- 4.5 Inflammatory breast cancer -- 4.6 Pagets disease of the breast -- 4.7 Angiosarcoma -- 4.8 Phyllodes tumors -- 5. Screening methods -- 5.1 Mammography -- 5.2 Digital breast tomosynthesis -- 5.3 Contrast mammography -- 5.4 Ultrasound approach -- 5.4.1 Sonography -- 5.4.2 Automatic breast ultrasound -- 5.4.3 Contrast-enhanced ultrasound -- 5.4.4 Ultrasonography in three dimensions -- 5.4.5 Color Doppler -- 5.4.6 Power Doppler -- 5.4.7 Tissue elasticity imaging (sonoelastography) -- 5.4.8 Stress elastography -- 5.4.9 Shear wave elastography -- 5.4.10 Diffusion-weighted imaging -- 5.5 Magnetic resonance elastography -- 5.6 Magnetic resonance spectroscopy -- 5.7 Magnetic resonance imaging -- 5.8 Optical imaging -- 5.9 Nuclear imaging techniques -- 5.10 Molecular breast imaging -- 5.11 Positron-emission mammography -- 5.12 CZT-based molecular breast imaging system -- 5.13 Alternative radiopharmaceuticals -- 6. …”

Tabla de Contenidos: “…2.3 Deep learning applications in brain cancer -- 2.3.1 Tumor grading -- 2.3.2 Survival analysis -- 2.3.3 Radiogenomics -- 2.3.3.1 1p/19q -- 2.3.3.2 Isocitrate dehydrogenase -- 2.3.3.3 6-methylguanine-DNA methyltransferase -- 2.3.4 Pseudoprogression -- 2.4 Deep learning applications in breast cancer -- 2.4.1 Increasing accuracy in breast cancer risk assessment -- 2.4.2 Reproducible breast density assessment for improved breast cancer risk prediction -- 2.4.3 Improving performance in breast cancer diagnosis -- 2.4.4 Enhancing efficacy in breast cancer clinical practice -- 2.5 Conclusion -- Acknowledgments -- References -- 3 Deep neural networks and advanced computer vision algorithms in the early diagnosis of skin diseases -- 3.1 Introduction and motivation for the early diagnosis of melanoma -- 3.2 Artificial intelligence and computer vision in melanoma diagnosis -- 3.3 Medical diagnostic procedures for screening of skin diseases -- 3.4 State-of-the-art survey on skin mole segmentation methods -- 3.4.1 Comparison of the state of the art -- 3.4.2 Summary -- 3.5 Improved local and global patterns detection algorithms by deep learning algorithms -- 3.6 Early classification of skin melanomas in dermoscopy -- 3.6.1 Diagnostic algorithms -- 3.6.2 Approaches to detect the diagnostic criteria -- 3.6.3 Approaches to directly classify skin conditions -- 3.6.3.1 Classifiers utilizing the convolutional neural networks as a feature extractor -- 3.6.3.2 Classifiers using end-to-end learning convolutional neural networks model training with transfer learning -- 3.6.3.3 Convolutional neural networks model training from scratch -- 3.6.3.4 Ensembles of convolutional neural networks models -- 3.7 Conclusions -- 3.8 How to speed up the classification process with field-programmable gate arrays? …”