Tabla de Contenidos: “…Summary -- 10. How to perform a Mendelian randomization investigation -- 10.1. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Author Biography -- Chapter 1 Introduction -- 1.1 Background -- 1.2 Overview -- 1.3 Book Outline -- Chapter 2 Overview of IEEE 802.11 -- 2.1 Introduction -- 2.2 Overview of the IEEE 802.11 PHY Layer -- 2.2.1 Operating Frequencies and Bandwidths -- 2.2.2 OFDM -- 2.2.3 OFDM PPDU -- 2.3 Overview of IEEE 802.11 MAC Layer -- 2.3.1 Network Discovery -- 2.3.2 Connection Setup -- 2.3.3 Coordinated Wireless Medium Access -- 2.3.4 Enhanced Distributed Channel Access -- 2.3.5 Security -- 2.3.6 Time Synchronization -- 2.3.7 Power-Saving Mechanisms -- 2.3.8 Orthogonal Frequency Division Multiple Access (OFDMA) -- 2.4 Conclusions -- References -- Chapter 3 Wake-up Radio Concept -- 3.1 Introduction -- 3.2 Primary Sources of Power Consumption in an IEEE 802.11 Station -- 3.2.1 Power Consumption in Transmit Mode -- 3.2.2 Power Consumption in Receive Mode -- 3.2.3 Power Consumption in Sleep Mode -- 3.2.4 Power Consumption in Deep Sleep Mode -- 3.3 Wake-up Radio Concept -- 3.4 Example of Power Consumption Using a Wake-up Radio -- 3.5 Selection of Duty Cycle Values -- 3.6 Conclusions -- Chapter 4 Physical Layer Description -- 4.1 Introduction -- 4.2 Requirements -- 4.3 Regulations -- 4.4 Link Budget Considerations -- 4.5 Modulation -- 4.6 Physical Layer Protocol Data Unit (PPDU) Structure -- 4.6.1 Non-WUR Portion of PPDU -- 4.6.2 Sync Field -- 4.6.3 Data Field -- 4.7 Symbol Randomization -- 4.8 FDMA Operation -- 4.8.1 40 MHz FDMA -- 4.8.2 80 MHz FDMA -- 4.9 Additional Topics -- 4.10 Conclusions -- References -- Chapter 5 Physical Layer Performance -- 5.1 Introduction -- 5.2 Generic Non-coherent Receiver -- 5.3 Simulation Description -- 5.3.1 Transmitter Model -- 5.3.2 MC-OOK Symbol Waveform Generation -- 5.3.3 Channel Model -- 5.3.4 Receiver Model -- 5.3.5 Performance Metrics…”

Tabla de Contenidos: “…Progress on structural reforms -- Macroeconomic performance and risks -- Figure 2. Regained competitiveness contributes to Irish exports -- Figure 3. …”

Tabla de Contenidos: “…5 Maintaining Your LinkedIn Profile -- Keeping Your Profile Current -- Posting Updates -- Posting an Update -- Managing Your Updates -- Commenting On an Update -- Updating Your Profile -- Promoting Your Profile on the Web -- Creating Profiles in Other Languages -- Printing and Downloading Your Profile -- 6 Communicating with Your LinkedIn Network -- Understanding Your LinkedIn Network -- Understanding LinkedIn Messages, InMail, and Introductions -- Understanding Your Contact Options -- Managing Your Inbox -- Sending and Managing Messages -- Sending Messages -- Reading and Replying to Messages -- Sending InMail -- Requesting and Managing Introductions -- Maximizing the Power of LinkedIn Introductions -- Requesting Introductions -- Managing Introduction Requests -- 7 Searching for People on LinkedIn -- Performing Quick Searches -- Searching for People -- Narrowing People Search Results -- Performing Advanced People Searches -- Saving People Searches -- Using Advanced Search Techniques -- Using the Profile Organizer -- Saving Profiles to the Profile Organizer -- Managing Profiles in the Profile Organizer -- 8 Saving Time with LinkedIn Tools -- Understanding LinkedIn Tools -- Installing and Using the LinkedIn Firefox Browser Toolbar -- Using the LinkedIn Firefox Browser Toolbar -- Sharing Web Pages with LinkedIn Members -- Installing and Using the LinkedIn Internet Explorer Toolbar -- Installing and Using JobsInsider -- Installing and Using the Outlook Toolbar -- Creating LinkedIn Email Signatures -- Installing and Using the Google Toolbar Assistant -- 9 Searching for Jobs -- Attracting Recruiters and Hiring Managers -- Searching Job Postings -- Viewing Job Postings -- Using Advanced Job Search Techniques -- Applying for Jobs -- Finding Recruiters and Hiring Managers -- Upgrading to a Job Seeker Premium Account -- 10 Managing LinkedIn Recommendations…”

Tabla de Contenidos: “…Adding a new tag dictionary -- Creating a dictionary from a file -- Using Stanford POS taggers -- Using Stanford MaxentTagger -- Using the MaxentTagger class to tag textese -- Using the Stanford pipeline to perform tagging -- Using LingPipe POS taggers -- Using the HmmDecoder class with Best_First tags -- Using the HmmDecoder class with NBest tags -- Determining tag confidence with the HmmDecoder class -- Training the OpenNLP POSModel -- Summary -- Chapter 6: Representing Text with Features -- N-grams -- Word embedding -- GloVe -- Word2vec -- Dimensionality reduction -- Principle component analysis -- Distributed stochastic neighbor embedding -- Summary -- Chapter 7: Information Retrieval -- Boolean retrieval -- Dictionaries and tolerant retrieval -- Wildcard queries -- Spelling correction -- Soundex -- Vector space model -- Scoring and term weighting -- Inverse document frequency -- TF-IDF weighting -- Evaluation of information retrieval systems -- Summary -- Chapter 8: Classifying Texts and Documents -- How classification is used -- Understanding sentiment analysis -- Text-classifying techniques -- Using APIs to classify text -- Using OpenNLP -- Training an OpenNLP classification model -- Using DocumentCategorizerME to classify text -- Using the Stanford API -- Using the ColumnDataClassifier class for classification -- Using the Stanford pipeline to perform sentiment analysis -- Using LingPipe to classify text -- Training text using the Classified class -- Using other training categories -- Classifying text using LingPipe -- Sentiment analysis using LingPipe -- Language identification using LingPipe -- Summary -- Chapter 9: Topic Modeling -- What is topic modeling? …”

Tabla de Contenidos: “…Planning for the Worst Situation -- Total SAN Failure -- Power Disruption -- Explosion -- FBI Seizure -- Blackout -- Human Factors -- Human Resources -- Developing a Strategic Plan -- Conclusion -- Chapter 4: Using MySQL Replication -- MySQL Replication Architecture -- MySQL Replication Characteristics -- MySQL Replication Limitations -- Replication Lag -- Consistency -- Data Consistency -- Schema Consistency -- Object Consistency -- Completeness -- Replication Design Considerations -- Binary Log Row Format -- Unsafe Statements -- Trigger Operation -- Statement-based Replication (SBR) -- Row-based Replication (RBR) -- Semi-synchronous Replication -- Replication Backup Considerations -- Additional Prerequisite Checks -- Checking Replication Lag -- MySQL Temporary Tables -- InnoDB Background Threads -- Cold Backup Options -- mysqldump Options -- Filesystem Snapshot Options -- MySQL Enterprise Backup (MEB) Options -- XtraBackup Options -- Architecture Design Considerations -- Upcoming Replication Functionality -- Conclusion -- Chapter 5: Using Recovery Options -- A Word About Testing -- Determining the Type of Recovery Necessary -- MySQL Software Failure -- Crash Recovery -- Testing InnoDB Crash Recovery -- Monitoring InnoDB Crash Recovery -- MyISAM Table Recovery -- Other Storage Engines -- Included Default Engines -- Popular Third Party Engines -- Table Definition Recovery -- Performing a Static Recovery -- MySQL Software Installation -- MySQL Configuration -- MySQL Data -- Filesystem Copy -- SQL Dump Recovery -- MySQL Enterprise Backup (MEB) Recovery -- XtraBackup Recovery -- Performing a Point in Time Recovery -- Binary Log Position -- Using mysqldump -- Filesystem Copy or Filesystem Snapshot -- MySQL Enterprise Backup (MEB) -- XtraBackup -- Standalone Recovery -- Leveraging the Replication Stream -- Binary Log Mirroring -- Recovery Verification…”

Tabla de Contenidos: “…Youth Studies in a Postcolonial World.Application of AI methods for the integration of structural engineering knowledge in early planning phases -- Analysis of the early-design timber models for sound insulation analysis -- Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design -- Component-based machine learning for predicting representative time-series of energy performance in building design -- A hybrid-model time-series forecasting approach for reducing the building energy performance gap -- Deep learning approach for predicting pedestrian dynamics for transportation hubs in early design phases -- Implementing Information Container for linked Document Delivery (ICDD) as a micro-service -- An explanatory use case for the implementation of Information Container for linked Document Delivery in Common Data Environments -- Automatic generation of ISO 19650 compliant templates based on standard construction contracts -- Graph-based version control for asynchronous BIM level 3 collaboration -- Image-documentation of existing buildings using a server-based BIM Collaboration Format workflow -- Unlocking the full potential of Building Information Modelling by applying the principles of Industry 4.0 and Data Governance such as COBIT -- Data Quality in Building Productivity Assessment -- the Case of Acute Care Environments -- An Approach for Cross-Data Querying and Spatial Reasoning of Tunnel Alignments -- Ontological reasoning in factory-BIM: An industrial case study for an automotive OEM -- IFCNet: A Benchmark Dataset for IFC Entity Classification -- IFC based Framework for Generating, Modeling and Visualizing Spalling Defect Geometries -- Automatic generation of IFC models from point cloud data of transport infrastructure environments -- A Proposed Ontology for Knowledge Representation in Designing Indoor Inspection Robot Systems -- Bidirectional coupling of Building Information Modeling and Building Simulation using ontologies -- Building Ontology for Preventive Fire Safety -- A Framework for Intelligent Building Information Spoken Dialogue System (iBISDS) -- A Design Recommender System: A Rules-based Approach to Exploit Natural Language Imprecision using Belief and Fuzzy Theories -- Towards the Adoption of Vision Intelligence for Construction Safety: Grounded Theory Methodology based Safety Regulations Analysis -- Concept to support the estimation of static load capacity on construction site using in-situ AR-based methods -- Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment -- Virtual Reality Platform for 3D Irregular Packing Problem -- Reference Architectural Model of Buildings for Virtual City Creator -- Data shortage for urban energy simulations? …”

Tabla de Contenidos: “…Improving Asphalt Mixture Performance by Partially Replacing Bitumen with Waste Motor Oil and Elastomer Modifiers doi: 10.3390/app7080794 -- Cesare Oliviero Rossi, Saltanat Ashimova, Pietro Calandra, Maria Penelope De Santo and Ruggero Angelico Mechanical Resilience of Modified Bitumen at Different Cooling Rates: A Rheological and Atomic Force Microscopy Investigation doi: 10.3390/app7080779 -- Yue Hou, Linbing Wang, Dawei Wang, Xin Qu and Jiangfeng Wu Using a Molecular Dynamics Simulation to Investigate Asphalt Nano-Cracking under External Loading Conditions doi: 10.3390/app7080770 -- Farzaneh Tahmoorian, Bijan Samali, Vivian W.Y. …”

Tabla de Contenidos: “…-- Lack of Understanding -- Supplemental Training for Certain Officers -- Scrutinizing Eyewitness Interviews -- For Your Consideration -- Chapter 14 Measuring the Noise -- We Didn't Hear the Noise at the Forensic Art Workshop -- Shadow Sketching -- Measuring Noise Excerpt [Question Types in Brackets] -- Studies Focused on Eyewitness Performance -- Measuring Noise and Cognitive Evidence -- Performance Focused on the Interviewer, Not the Eyewitness -- Anatomy of Establishing a Benchmark for a Mindful Interview -- Method -- Data Collection for Benchmark -- Applying the Efficacy of Eyewitness Interview Assessment to the Interview Session -- Obtaining Actual Eyewitness Interview Transcripts from Law Enforcement -- Reviewing the Transcript and Coding Exchanges -- Entering the Data into the Question Category Matrix -- Confirming the Topic Sequence -- Interpretation of Data and the Reliability of Cognitive Evidence -- Summary Report for Efficacy of Eyewitness Interview Assessment -- The Efficacy of Eyewitness Interview Assessment Summary Report and Mindful Interview Method Standards -- Reliability Scale Changes -- Efficacy of Eyewitness Interview Assessment Narrative Report…”

Tabla de Contenidos: “…Cloud management services -- Service catalogue -- Self-service portal -- Infrastructure and process orchestration -- Software orchestration -- Operational services -- Backup and restore -- Disaster recovery -- Monitoring -- Log consolidation and analysis -- Patching -- Business services -- Business management -- IT financials -- IT benchmarking -- Cloud-based approaches for Disaster Recovery as a Service (DRaaS) solutions -- Summary -- Chapter 5: Implementing Service Redundancy Across All Layers -- vSphere virtualization software -- VMware vCenter Management Server -- vCenter main components -- Environment preparation -- Certificate for the vSphere Web Client and the Log Browser -- Verify that the environment is working properly -- Comparison of the vCenter deployment topologies -- vSphere HA/redundancy features -- vSphere HA -- vSphere vMotion details -- EVC feature details -- vSphere DRS feature details -- VMware vSphere Distributed Power Management -- Resource pools feature details -- vSphere Fault Tolerance -- Relevance of vSphere Fault Tolerance for vCenter HA -- VM Component Protection (VMCP) -- vSphere Metro Storage Cluster (vMSC) -- vSphere Replication -- vCenter Watchdog -- vCenter database clustering -- Memory reservations -- Maximizing memory performance -- CPU and memory shares, reservations, and limits -- Virtual machine disks -- Multiple virtual disks -- Virtual disk location -- Swap file location -- Virtual SCSI HBA type -- Virtual NICs -- Virtual GPUs -- VMware vSphere Flash Read Cache -- Guest operating system considerations -- VMware Tools -- Templates -- Templates and multiple sites -- Snapshot management -- Virtual machine security considerations -- Encryption and security certificates -- Monitoring and management design practices -- Time synchronization -- Syslog logging -- Performance monitoring…”

Tabla de Contenidos: “…Contextualise the basic skills content within vocational qualifications -- Policy option 4.2: Strengthening the capacity of further education teachers to deliver flexible and tailored basic skills -- Strengthen initial training and professional development for further education and skills teachers -- Policy option 4.3: Using and rewarding workers' basic skills more effectively in workplaces, to increase the benefits of training for workers and employers -- Support employers of low-skilled adults to adopt high performance work practices, and provide career progression pathways -- Invest in the management and leadership capabilities of SMEs, to support HPWP and skills use -- References -- Notes -- Annex A. …”

Tabla de Contenidos: “…6.2.2 - Real-Time Data Capturing in Manufacturing Field -- 6.3 - Real-time information enabled material handling strategy -- 6.4 - Overall architecture of optimization model for SMH -- 6.5 - IoT-enabled smart trolley -- 6.5.1 - Real-Time Information Capturing and Encapsulation -- 6.5.2 - Real-Time Information Exchange -- 6.5.3 - Workflow-Based Real-Time Guidance -- 6.6 - Two-stage combination optimization method for move tasks -- 6.6.1 - Real-Time Information Models of Move Tasks -- 6.6.2 - Preoptimization for Candidate Tasks Set -- 6.6.3 - AHP-Based Combination Optimization -- References -- Chapter 7 - Real-Time Key Production Performances Analysis Method -- 7.1 - Introduction -- 7.2 - Related works -- 7.2.1 - Real-Time Production Monitoring Technique -- 7.2.2 - Real-Time Production KPIs Analysis -- 7.2.3 - Real-Time Production Anomaly Analysis -- 7.2.4 - Research Gap -- 7.3 - Overall architecture of real-time production performance analysis model -- 7.3.1 - Configuration of Smart Sensors -- 7.3.2 - Critical Event-Based Information Extracting Process -- 7.3.3 - Real-Time Key Production Anomaly Analysis -- 7.4 - The event hierarchy of critical event -- 7.5 - HTCPN-based critical event analysis -- 7.5.1 - Basic Concepts of HTCPN -- 7.5.2 - HTCPN Model Construction -- 7.5.3 - Connection Between HTCPN and Manufacturing Resources -- 7.5.4 - Production Performance Extraction -- 7.6 - Real-time production anomaly diagnosis -- 7.6.1 - New Cases -- 7.6.2 - Historical Cases -- 7.6.3 - Decision Variables -- 7.6.4 - Tree Builder -- 7.6.5 - Anomaly Extraction and Causes Diagnosis -- References -- Chapter 8 - Real-Time Information-Driven Production Scheduling System -- 8.1 - Introduction -- 8.2 - Related works -- 8.2.1 - Agent Technology and Applications in Manufacturing Field -- 8.2.2 - Real-Time Production Scheduling…”

Tabla de Contenidos: “…Initiating the project -- Task 1.1: Perform project assessment based upon available information and meetings with the sponsor, customer, and other subject matter experts, in order to evaluate the feasibility of new products or services within the given assumptions and/or constraints. -- Exam need to know... -- Project selection -- Business case development -- Project selection criteria -- Project sponsor -- Customer -- Can you answer these questions? …”

Tabla de Contenidos: “…Decommissioning the Previous Exchange Server -- Summary -- Chapter 3: Managing Exchange -- Managing Databases -- Rename a Mailbox Database -- Move a Mailbox Database -- Circular Logging -- Quota Settings -- Assign an Offline Address Book -- Create a New Mailbox Database -- Delete a Mailbox Database -- Online Maintenance -- Deleted Items Retention -- Online Maintenance -- Managing Mailboxes -- Create a User Mailbox -- Mailbox-Enabling an Existing User Account -- Remove a Mailbox -- Managing Mailboxes -- Active Directory Properties -- Quota Settings -- Regional Settings -- Assign Address Book Policies -- Adding Email Addresses -- Archive Mailboxes -- Cmdlet Extension Agents -- Mailbox Delegation -- Moving Mailboxes -- Importing and Exporting Mailboxes to PST Files -- Resource Mailboxes -- Shared Mailboxes -- Linked Mailboxes -- Managing Groups -- Create a New Distribution Group -- Mail-Enable an Existing Group -- Manage Group Membership -- Group Membership Approval -- Dynamic Distribution Groups -- Moderated Distribution Group -- Expansion Server -- Remove a Distribution Group -- Managing Contacts -- Mail-Enabled Contacts -- Mail-Enabled Users -- Cumulative Updates and Security Updates -- Cumulative Updates -- Security Updates -- Monitoring and Reporting -- Monitoring Tools -- Event Viewer -- Crimson Channel -- Performance Monitoring -- Task Manager -- Performance Monitor Tool -- Real-Time Monitoring -- Performance Monitor Logging -- Managed Availability -- End-to-End Monitoring -- Managed Availability Architecture -- Exchange 2013 CAS and Managed Availability -- Monitoring Using the Exchange Management Shell -- Server Health -- Queue Monitoring -- Mailbox Database Replication -- Workload Management -- Managing Workloads by Monitoring System Resources -- Workloads and Performance -- Workload Classifications -- Workload Management Policy Settings…”

Tabla de Contenidos: “…Chapter 3: A Tour of Machine Learning Classifiers Using scikit-learn -- Choosing a classification algorithm -- First steps with scikit-learn - training a perceptron -- Modeling class probabilities via logistic regression -- Logistic regression intuition and conditional probabilities -- Learning the weights of the logistic cost function -- Converting an Adaline implementation into an algorithm for logistic regression -- Training a logistic regression model with scikit-learn -- Tackling overfitting via regularization -- Maximum margin classification with support vector machines -- Maximum margin intuition -- Dealing with a nonlinearly separable case using slack variables -- Alternative implementations in scikit-learn -- Solving nonlinear problems using a kernel SVM -- Kernel methods for linearly inseparable data -- Using the kernel trick to find separating hyperplanes in high-dimensional space -- Decision tree learning -- Maximizing information gain - getting the most bang for your buck -- Building a decision tree -- Combining multiple decision trees via random forests -- K-nearest neighbors - a lazy learning algorithm -- Summary -- Chapter 4: Building Good Training Sets - Data Preprocessing -- Dealing with missing data -- Identifying missing values in tabular data -- Eliminating samples or features with missing values -- Imputing missing values -- Understanding the scikit-learn estimator API -- Handling categorical data -- Nominal and ordinal features -- Creating an example dataset -- Mapping ordinal features -- Encoding class labels -- Performing one-hot encoding on nominal features -- Partitioning a dataset into separate training and test sets -- Bringing features onto the same scale -- Selecting meaningful features -- L1 and L2 regularization as penalties against model complexity -- A geometric interpretation of L2 regularization…”

Tabla de Contenidos: “…. -- Chapter 4: Troubleshooting -- Introduction -- Performing triage -- Getting ready -- How to do it... -- How it works... -- There's more... -- Installing common statistics packages -- How to do it... -- How it works... -- Evaluating the current disk performance with iostat -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Tracking I/O-heavy processes with iotop -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Viewing past performance with sar -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Correlating performance with dstat -- Getting ready -- How to do it... -- How it works... -- See also -- Interpreting /proc/meminfo -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Examining /proc/net/bonding/bond0 -- Getting ready -- How to do it... -- How it works... -- See also -- Checking the pg_stat_activity view -- Getting ready -- How to do it...…”

Tabla de Contenidos: “…Considerations -- Application Developer guidelines -- Workspace -- .Workspace structure -- Utility project -- Project structure -- Source code formatting -- Application Developer preferences -- Checkstyle -- Application logging -- Requirements for a logging framework -- Logging implementation -- Automation opportunities -- Using JNDI -- Obtaining an InitialContext -- Local and global JNDI namespaces -- Caching -- Coding for performance -- General performance tips -- Database connection pooling -- Using System.out -- String concatenation -- JSP and servlet performance tips -- Storing objects in HTTP sessions -- Using HTTP sessions in JSPs -- Servlet multi-threading -- EJB performance tips -- Accessing EJBs from client code -- Transaction isolation levels -- Managing application versions -- Specifying the application name -- Partitioning Web applications in the URI namespace -- Partitioning using virtual hosts -- Partitioning using the Web application context root -- Partitioning EJBs in the JNDI namespace -- Partitioning access to database and other resources -- Security -- Application-managed security -- Container-managed security…”

Tabla de Contenidos: “…Building matchers for component mocks -- Variants of the jest.mock call -- Removing the spy function -- Rendering the children of mocked components -- Checking multiple instances of the rendered component -- Alternatives to module mocks -- Summary -- Exercises -- Further reading -- Chapter 8: Building an Application Component -- Technical requirements -- Formulating a plan -- Using state to control the active view -- Test-driving callback props -- Making use of callback values -- Summary -- Exercises -- Part 2 - Building Application Features -- Chapter 9: Form Validation -- Technical requirements -- Performing client-side validation -- Validating a required field -- Generalizing validation for multiple fields -- Submitting the form -- Extracting non-React functionality into a new module -- Handling server errors -- Indicating form submission status -- Testing state before promise completion -- Refactoring long methods -- Summary -- Exercises -- Further reading -- Chapter 10: Filtering and Searching Data -- Technical requirements -- Displaying tabular data fetched from an endpoint -- Paging through a large dataset -- Adding a button to move to the next page -- Adjusting the design -- Adding a button to move to the previous page -- Forcing design changes using tests -- Filtering data -- Refactoring to simplify the component design -- Performing actions with render props -- Testing render props in additional render contexts -- Summary -- Exercises -- Chapter 11: Test-Driving React Router -- Technical requirements -- Designing React Router applications from a test-first perspective -- A list of all the React Router pieces -- Splitting tests when the window location changes -- Up-front design for our new routes -- Testing components within a router -- The Router component and its test equivalent -- Using the Routes component to replace a switch statement…”

Tabla de Contenidos: “…. -- See also -- Chapter 5: Easily Performing Statistical Tests Using Linear Models -- Technical requirements -- Further information -- Modeling data with a linear model -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using a linear model to compare the mean of two groups -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using a linear model and ANOVA to compare multiple groups in a single variable -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using linear models and ANOVA to compare multiple groups in multiple variables -- Getting ready -- How to do it... -- How it works... -- Testing and accounting for interactions between variables in linear models -- Getting ready -- How to do it... -- How it works... -- Doing tests for differences in data in two categorical variables -- Getting ready -- How to do it... -- How it works... -- Making predictions using linear models -- Getting ready -- How to do it... -- How it works... -- See also -- Chapter 6: Performing Quantitative RNA-seq -- Technical requirements -- Further information -- Estimating differential expression with edgeR -- Getting ready -- How to do it... -- How it works... -- Estimating differential expression with DESeq2 -- Getting ready -- How to do it... -- How it works... -- There's more... -- Estimating differential expression with Kallisto and Sleuth -- Getting ready -- How to do it... -- How it works... -- Using Sleuth to analyze time course experiments -- Getting ready -- How to do it... -- How it works... -- Analyzing splice variants with SGSeq -- Getting ready…”

Tabla de Contenidos: “…-- Late delivery doesn't count as output toward operational availability -- Relationship between RO and OA -- Labor efficiency -- ∑ cycle time also called total cycle time -- Demand -- Number of people and time worked -- Lead-time/inventory -- First design and specify the process and then measure the performance -- Separate rate of operation from operational availability -- Notification and categorization of performance indicators -- Notification of ahead or behind schedule? …”