An ethnographic study of an Internet soap opera fan group. Bridging the fields of computer-mediated communication and audience studies, it shows how verbal and non verbal communicative practices create collaborative interpretations and criticism, group humour, interpersonal relationships, group norms and individual identity.

From the author of the acclaimed Roll with It comes a moving novel about a girl with a sensory processing disorder who has to find her own voice after her whole world turns upside down. Lou Montgomery has the voice of an angel, or so her mother tells her and anyone else who will listen. But Lou can only hear the fear in her own voice. She’s never liked crowds or loud noises or even high fives; in fact, she’s terrified of them, which makes her pretty sure there’s something wrong with her. When Lou crashes their pickup on a dark and snowy road, child services separate the mother-daughter duo. Now she has to start all over again at a fancy private school far away from anything she’s ever known. With help from an outgoing new friend, her aunt and uncle, and the school counselor, she begins to see things differently. A sensory processing disorder isn’t something to be ashamed of, and music might just be the thing that saves Lou—and maybe her mom, too.

Tuning of SQL code is generally cheaper than changing the data model. Physical and configuration tuning involves a search for bottlenecks that often points to SQL code or data model issues. Building an appropriate data model and writing properly performing SQL code can give 100%+ performance improvement. Physical and configuration tuning often gives at most a 25% performance increase. Gavin Powell shows that the central theme of Oracle10gR2 Performance Tuning is four-fold: denormalize data models to fit applications; tune SQL code according to both the data model and the application in relation to scalability; create a well-proportioned physical architecture at the time of initial Oracle installation; and most important, mix skill sets to obtain the best results. Fully updated for version 10gR2 and provides all necessary transition material from version 9i Includes all three aspects of Oracle database tuning: data model tuning, SQL & PL/SQL code tuning, physical plus configuration tuning Contains experienced guidance and real-world examples using large datasets Emphasizes development as opposed to operating system perspective

This book constitutes the refereed proceedings of the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022. The 22 papers included in this book were carefully reviewed and selected from 98 submissions. They were organized in topical sections as follows: task mining; design methods; process mining; process mining practice; analytics; and systems. The book also includes one keynote talk in full-paper length and 5 tutorial papers.

Make log processing a real asset to your organization with powerful and free open source tools. In Logging in Action you will learn how to: Deploy Fluentd and Fluent Bit into traditional on-premises, IoT, hybrid, cloud, and multi-cloud environments, both small and hyperscaled Configure Fluentd and Fluent Bit to solve common log management problems Use Fluentd within Kubernetes and Docker services Connect a custom log source or destination with Fluentd’s extensible plugin framework Logging best practices and common pitfalls Logging in Action is a guide to optimize and organize logging using the CNCF Fluentd and Fluent Bit projects. You’ll use the powerful log management tool Fluentd to solve common log management, and learn how proper log management can improve performance and make management of software and infrastructure solutions easier. Through useful examples like sending log-driven events to Slack, you’ll get hands-on experience applying structure to your unstructured data. About the technology Don’t fly blind! An effective logging system can help you see and correct problems before they cripple your software. With the Fluentd log management tool, it’s a snap to monitor the behavior and health of your software and infrastructure in real time. Designed to collect and process log data from multiple sources using the industry-standard JSON format, Fluentd delivers a truly unified logging layer across all your systems. About the book Logging in Action teaches you to record and analyze application and infrastructure data using Fluentd. Using clear, relevant examples, it shows you exactly how to transform raw system data into a unified stream of actionable information. You’ll discover how logging configuration impacts the way your system functions and set up Fluentd to handle data from legacy IT environments, local data centers, and massive Kubernetes-driven distributed systems. You’ll even learn how to implement complex log parsing with RegEx and output events to MongoDB and Slack. What's inside Capture log events from a wide range of systems and software, including Kubernetes and Docker Connect to custom log sources and destinations Employ Fluentd’s extensible plugin framework Create a custom plugin for niche problems About the reader For developers, architects, and operations professionals familiar with the basics of monitoring and logging. About the author Phil Wilkins has spent over 30 years in the software industry. Has worked for small startups through to international brands. Table of Contents PART 1 FROM ZERO TO “HELLO WORLD” 1 Introduction to Fluentd 2 Concepts, architecture, and deployment of Fluentd PART 2 FLUENTD IN DEPTH 3 Using Fluentd to capture log events 4 Using Fluentd to output log events 5 Routing log events 6 Filtering and extrapolation PART 3 BEYOND THE BASICS 7 Performance and scaling 8 Driving logs with Docker and Kubernetes 9 Creating custom plugins PART 4 GOOD LOGGING PRACTICES AND FRAMEWORKS TO MAXIMIZE LOG VALUE 10 Logging best practices 11 Logging frameworks

The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include: an introduction to PID control technology features and typical industrial implementations; chapter contributions ordered by the increasing quality of the model information used; novel PID control concepts for multivariable processes. PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text.

Television, Social Media, and Fan Culture examines how fans use social media to engage with television programming, characters, and narrative as well as how television uses social media to engage fan cultures. The contributors review the history and impact of social media and television programming; analyze specific programs and the impact of related social media interactions; and scrutinize the past fan culture to anticipate how social media programming will develop in the future. The contributors explore a diverse array of television personalities, shows, media outlets, and fan activities in their analysis, including: Jon Stewart, Stephen Colbert, and Paula Deen; Community, Game of Thrones, Duck Dynasty, Toddlers and Tiaras, Talking Dead, Breaking Bad, Firefly, Buffy the Vampire Slayer, Army Wives, The Newsroom, Doctor Who, Twin Peaks, and The Man from U.N.C.L.E.; as well as ESPN’s TrueHoop Network and Yahoo’s Ball Don’t Lie; and cosplay.