Event Location:
The Microsoft Technology Center
5404 Wisconsin Ave, Suite 700
Chevy Chase, Maryland
Abstract:
If you do any kind of SQL Server or BI development, you eventually have to grapple with the problem of keeping multiple copies of your work. You either need to maintain stored procedure and DDL scripts or you have copies of SSIS and SSRS reports to keep up with. In most cases, this problem starts off small as you need to have development versus production copies of your code.  During this session, we'll talk about Team Foundation Server (TFS) and show you the different ways it can be used to keep up with all the different types of source code you might be responsible for -- from full database designs to complete BI solutions.
Speaker(s): Dave Fackler,
Abstract:
Almost every SQL Developer is familiar with Table Variables and Temporary Tables. While each of these objects represents temporary storage, there are also substantial differences between them. Understanding the differences between Table Variables and Temporary Tables, and the ramifications that those differences cause, is essential to being able to properly select the appropriate object for use in your development tasks. In this code filled session, we’ll discover the differences and similarities of Temporary Tables and Table Variables, dispel some widespread myths about each, and answer the most important questions of them all, "When do I use one or the other and what are the various impacts of doing so?"
Speaker(s): Wayne Sheffield,
Abstract:
As an ETL developer using SQL Server Integration Services have you ever wondered how to: 1. Import all .csv files from a folder 2. Replace dynamic SQL using variables in SSIS 3. How to configure the data flow buffer 4. Create custom logging solutions 5. Use a script component as a data flow transformation This session focuses on advanced techniques that are used in SSIS and is meant for the experienced SSIS developer. We will focus on tasks and techniques that are native to SSIS 2005-2014 as well as some of the more advanced and vague properties. Attendees must have a good working knowledge of SSIS as well as familiarity with VB.NET or C# as some time will be taken looking at extending SSIS with script tasks and components. Upon completion of this workshop attendees will be able to: 1. Import/export multiple sources/destinations 2. Use an execute SQL task with variables to replace dynamic SQL within a package 3. Dynamically handle errors within any part of a package 4.
Speaker(s): David Dye,
Abstract:
Is the design of your ETL processes robust? Does your ETL process keep you awake at night? Data integration is still the most common point of failure of data centric projects and choosing a mature ETL tool, such as SSIS, is not enough. In many cases this is due to improper planning and the use of questionable design principles. During this session we will look at ETL processes from a holistic point of view to identify key areas that are often neglected and that have the potential to affect the system reliability and increase its maintenance cost. We will use SSIS to evaluate key ETL architecture areas - such as re-start ability, monitoring, error handling, among others- and discuss design principles you can use to improve the architecture of your ETL processes going forward. You will find the session valuable regardless of you level of expertise in ETL.
Speaker(s): Rafael Salas,
Abstract:
Our users are in constant demand of faster running servers that spill out data before they can blink. Performance can be hard to measure and improve. Before we get in the race we will cover how to get a Performance baseline using the PAL Tools. The first Pit Stop will be to review TempDB setup to improve performance. Before getting into high gear we'll pull over to refuel on some Log File best practices and performance implications of VLFs. Finally before passing the checkered flag we'll make one more stop to talk about Data Files and improving your mileage from there. After this session you'll have a good idea of how to make changes transparent to any application to get your server crossing that finish line in style!
 What do you need to know? This session will cover this topic from first-hand experience.
Speaker(s): Amy Herold,
Abstract:
Do you want to test hardware upgrades, index tuning or multi-client applications? Would you like to do this with data specific to your organization? Distributed Replay, introduced in SQL Server 2012, is a tool that will allow you to accomplish exactly that. In this session, we will cover why you should use it, how to set it up, and what types of data to collect for testing and replay. This session will demonstrate tangible methods and undocumented tidbits, that you can take back to your environment to create immediate, and measurable tests.
Speaker(s): Melody Zacharias,
Abstract:
tSQLt is a testing framework that is designed to help you write repeatable, isolated tests against your database code. In this session we will briefly examine the goals of testing, where it can be used in an automated deployment pipeline, and introduce you to the tSQLt framework. We’ll show you how to design and write tests to enforce standards, check calculations and other DML operations as well as check exception handling. You will see how a real world refactoring task can be tested in a repeatable manner. Learn how you can incrementally write tests that help you build higher quality code and minimize the introduction of errors against your existing objects.
Speaker(s): Steve Jones,
Abstract:
Testing is a critical part of the release process and vital to a high-quality data management lifecycle. Unfortunately, Integration Services (SSIS) does not have built-in support for testing and the tools for relational database testing are limited. As a result, most organizations forgo automated testing and focus entirely on manual user testing, which is both expensive and often occurs too late in the process to address all of the issues discovered. In this session, a new approach to unit testing (focusing on verifying the correctness of individual packages, tasks, or dataflows) and integration testing (focusing on validating that the data produced by an entire sequence of transformations) will be discussed. This development pattern uses metadata authored by analysts to automatically generate testing logic within the corresponding packages or to automatically generate standalone test packages that contain all of the necessary validation logic.
Speaker(s): Reeves Smith,
Abstract:
Learn Basics of SQL and T-SQL querying in Microsoft SQL Server. This session will assume you have no or very little knowledge of writing T-SQL. We will cover following in order: set based theory, select statement, joining two or more tables, T-SQL functions, update statement. We will also touch briefly on basic query performance tips. By the end of the session, you will know how to query a database. If you want to follow along in the class, please have SQL Server and AdventureWorks2012 database installed on your computer.
Speaker(s): Ravi Kumar,
Abstract:
Often times we might feel like we are simply spinning our wheels and can't seem to move ahead. Perhaps we see others getting opportunities and can't quite place why more doesn't come our way. This session will discuss how we can put ourselves in the drivers seat when it comes to making opportunities so we can make some decisions about what we want to do rather than choosing from what is left.
Speaker(s): Carlos L Chacon,
Abstract:
DBAs (and IT folk in general) have a terrible reputation for being stubborn, jerky curmudgeons.  Unfortunately, they are a memorable minority and they give the rest of us a bad name. It can be hard to enforce the rules, do what's best for your environment, and offer outstanding customer support. It can be tough--rules mean telling people no. Rules mean making decisions that might make some people unhappy. In this session, we'll talk about some of these challenges and how to deal with them, all while obeying Wheaton's Law.
Speaker(s): Andy Mallon,
Abstract:
Automation and Continuous Delivery are at the forefront of software development processes today. However, databases are being neglected because database code is different, harder to automate, and DBAs just don't seem to trust database automation. This is not surprising when you consider the number of incidents and instances of downtime that were caused by out-of-process updates, code overrides, and other database glitches. In this session, we will explain the options to automate database changes along with the benefits and issues with each option.
Speaker(s): Cindy Bean,
Abstract:
Dimensional modeling is arguably one of the most important fundamentals of business intelligence. It is still relevant even as new technologies like PowerPivot and SSAS Tabular Models are becoming more popular. Correctly modeling your organization's data not only protects the most important asset your company has but ensures that your data mart or data warehouse will be responsive and capable of accommodating emerging requirements. This session provides a deeper dive into the art of dimensional modeling. We will look at the different types of fact tables and dimension tables, how and when to use them. We will also some approaches to creating rich hierarchies that make reporting a snap. Finally we will cover physical design choices.This case study and demo based session promises to be very interactive and engaging, bring your toughest Dimensional Modeling quandaries.
Speaker(s): Jason Horner,
Abstract:
Recent versions of SQL Server brings with it nearly full ANSI compliance with the window functions. Come to this code filled session to learn about all of the window functions in SQL Server 2012: Ranking functions, changes for windowing in the Aggregate functions and the new Analytic functions. We’ll examine how this latest implementation of the window functions allows us to perform running and sliding aggregations; retrieve data from adjacent rows in the partition, and much more – all without expensive self-joins or Row-By-Agonizing-Row (RBAR) back to the source table.
Speaker(s): Wayne Sheffield,
Abstract:
This session is an introduction to Service Broker basics. Service Broker is your way to process your data asynchronously in a single instance setting as well as use as a near real time ETL. Wheel and deal your data processing.
Speaker(s): William Wolf,
Abstract:
The good news? T-SQL is one of the easiest coding languages to learn. The bad news? Writing scalable T-SQL that performs optimally is an art that takes years to master. In this session, learn about some common T-SQL Troublemakers - Looping, Scalar Functions, Implicit Conversions, Non-Parameterized SQL and Parameter Sniffing. Through examples and demos in this session you will witness the situational pitfalls of the techniques above. With each demo, you will be given an alternate T-SQL solution that solves the same problem in an efficient and scalable manner. Let's get things moving!
Speaker(s): Mindy Curnutt,
Abstract:
In 2002, U.S. businesses lost an estimated $600 BILLION a year because of data quality problems. In 2012, Microsoft offered Data Quality Services (DQS) to reduce some of that loss. DQS enables analysts to recognize data quality defects and manage business rules to correct those data defects. Once defined, those business rules are available for use throughout the enterprise in SSIS packages so the data loaded is as clean as the business-defined rules. Standardizing and de-duplicating data are no match for DQS. Join me as I profile and standardize data before your very eyes.
Speaker(s): Mark Hudson,
Abstract:
A session slot reserved for our Platinum Sponsor speakers to present a technical, non-marketing session in.
Speaker(s): Chris Bell,
Abstract:
Do you find yourself constantly putting out "fires"? Can't take anymore heat in the data center? We as DBAs can easily become burnt out with dealing with these daily blazes. Wouldn’t it be grand to learn how to prevent these fires from scorching us to begin with? In this session, we will jump into things you can start implementing as "fire prevention" to stop the "fire fighting". We will talk about several things that you can take back to your shop and put into action easily ranging from code tuning, backup maintenance, monitoring and performance tuning!
 What do you do next? Microsoft Certified Master Brent Ozar shares his time-tested method of tuning queries starting with simplifying, analyzing the execution plan, making index tweaks, and measuring improvements with statistics. You’ll learn a repeatable process you can use to make queries go faster.
Speaker(s): Brent Ozar,
Abstract:
So you have a good backup strategy in place, but now you have to think about a disaster recovery. Where do you start and what are your options? SQL Server offers several options, but then how do you choose the right one to meet your business requirements? In this session, we will go over some of the common DR options including log shipping, replication, mirroring, clustering, and AlwaysOn. Then we will talk about how to choose the best one to meet your business needs.
Speaker(s): Tracy Boggiano,
Abstract:
That's right, attendees choose! I'll show 30 possible topics on the screen, and the attendees vote on which topics I'll cover. Everything from isolation levels to ranking...everything from GUIDs to table-valued functions....everything from querying temporal data to instances where subqueries are necessary....everything from update triggers to reading execution plans. The good news is that you'll walk away with 30 code samples, even though we'll only cover a portion of them in the presentation. This has always been a very popular session.
Speaker(s): Kevin Goff,
Abstract:
Everyone wants a dream job that they enjoy going to each week. However finding that job, and getting yourself hired can be hard for most people. Steve Jones will give you practical tips and suggestions in this session that show you how to better market yourself, how to get the attention of employers, and help improve the chances that the job you want will get offered to you. Learn about networking, blogging, and more.
Speaker(s): Steve Jones,
Abstract:
You’re a developer or a DBA, and you’re comfortable writing queries to get the data you need. You’re much less comfortable trying to design the right indexes for your database server. In this session with Microsoft Certified Master Brent Ozar, you’ll role play as the database engine while Brent gives you queries. You’ll learn first-hand about clustered indexes, nonclustered indexes, execution plans, sargability, statistics, TempDB spills, and T-SQL anti-patterns.
Speaker(s): Brent Ozar,
Abstract:
You've never worked with spatial data and would like to know how to do it. We'll go through very basic SQL Server Spatial data functionality and draw some Spatial pictures using Management Studio.
Speaker(s): Slava Murygin,
Abstract:
Policy Based Management is a great feature of SQL Server and easy to implement; however, for most organizations you need a way to customize it to your enterprise. Join me for this session as we take a deeper dive into PBM to see how you can customize polices, evaluate those polices across your entire enterprise environment, track those changes over time, and deliver reports to management showing your progress.
Speaker(s): Patrick Keisler,
Abstract:
The concept of storing data on flash chips has been around since the late 80’s, but has traditionally been cost prohibitive in most cases. As the technology continues to improve we are seeing much higher capacities with significantly lower pricing, so the power of flash is no longer limited to just those companies with multi-million dollar technology budgets. This session will take a vendor-agnostic look at the different patterns for leveraging flash and what those mean for a SQL Server Database Administrator.
Speaker(s): Michael Wells,
Abstract:
Using the SQL setup wizard and management studio (SSMS) to install and configure a new SQL server is a time-intensive process. PowerShell scripts can greatly reduce the time required to complete the process. They can also ensure build standardization throughout your SQL environment. In this session we will look at PowerShell scripting, including the basic syntax and commandlets needed to automate the installation and post-install configuration of a SQL Server.
 Are you both the DBA and the Developer? Being the only data professional in an environment can seem overwhelming, daunting, and darn near impossible sometimes. However, it can also be extremely rewarding and empowering. This session will cover how you can keep your sanity, get stuff done, and still love your job. We'll cover how I have survived and thrived being a Lone DBA for 15 years and how you can too. When you finish this session, you'll know what you can do to make your job easier, where to find help, and how to still be able to advance and enrich your career.
Speaker(s): Monica Rathbun,
Abstract:
Business Intelligence Markup Language provides a powerful solution for creating and managing SSIS Design Patterns. Andy Leonard, one of the authors of SSIS Design Patterns, demonstrates the flexibility of BIML in this session.
Speaker(s): Andy Leonard,
Abstract:
How SQL Server performs I/O How is SQL Server really accessing the data and log files on the disk? What's done asynchronous and what's synchronous and what impact does that have on our queries and DML statements. Which impact have features like database mirroring and replication, what's different when SQL Server is starting up. #160; Which I/O Subsystems (including SSD) are best for which type of data and what's the impact if you choose a different one. Which files can be placed on the same volume and which should not.
Speaker(s): Thomas Grohser,
Abstract:
Microsoft has been busy working on the next version of SQL Server - SQL Server 2016. We will go over some of the new features at a high level and dig deeper on Row Level Security and StretchDB. Row Level Security allows you to add another layer of security to your environment. StretchDB will allow you to transparently place part or all of a table into a SQL Azure DB freeing up your valuable SAN space for data that is COLD.
Speaker(s): Rick Heiges,
Abstract:
After building a handful of SSIS packages, you probably want to have more flexibility to make the package execution more dynamic. In this session, we will learn how to use variables, expressions, and loops to do things like: extract data to a file with *today's* date in the file name, load all files in a directory at the same time, and loop through a set of servers to gather data. For this session, you should already be familiar with how to create SSIS packages to load data from flat files and extract data to flat files.
Speaker(s): Matt Nelson,
Abstract:
When your database is having performance issues, you need to quickly and accurately diagnose and resolve performance issues. Like any good detective, you need to look for clues to find “The Smoking Gun.” We will cover various tools we have in SQL Server 2008 and above at our disposal which can help us pinpoint and resolve issues quickly, using Dynamic Management Views (DMVs), SQL Profiler and other queries. We will discuss emergent performance issues as well as chronic issues and find ways to piece together the clues to figure out the root cause of our problems.
Speaker(s): Danette Riviello,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
David is a Sergeant with the Cape Coral Police Department and currently works as a database administrator and developer in the Administrative Services Division. He began his career with the police department in 1990 in the patrol division and worked various assignments until being promoted to Sergeant in 1998. Based on his education and experience David was assigned to his current position in 2002 and is responsible for database administration, software integration, and development for public sa
LinkedIn: http://www.linkedin.com/in/amtwo
Contact: http://www.AM2.co
Andy is a Data Platform MVP and SQL Server DBA that has managed databases in the healthcare, finance, e-commerce, and non-profit sectors. He has been supporting high-volume, highly-available OLTP environments with demanding performance needs since 2003. Andy is the founder of the BostonSQL User Group, and previous co-organizer of SQLSaturday events in Boston. He blogs at am2.co. Andy lives just outside Boston, Massachusetts, USA with his husband and their two dogs.
LinkedIn: https://www.linkedin.com/in/cynthiabean
Cindy Bean is a Technical Consultant at DBmaestro, a pioneer and leading DevOps for database solution provider, enabling Agile development and Continuous Integration and Delivery for the database. She has worked with SQL Server and other relational database products for over 20 years as a DBA, product manager, and consultant. Cindy has previously worked at Idera, Bradmark Technologies, BMC Software, and Sybase.
LinkedIn: https://www.linkedin.com/in/thomasgrohser/
Thomas Grohser has spent most of the past 26+ years exploring the deeper inner workings of SQL Server and its features while working for entertainment, pharmaceutical, and financial services industries. His primary focus is to architect, plan, build, and operate reliable, highly available, secure, and scalable infrastructures for SQL Server. Over the years he has managed thousands of SQL Server instances, processing trillions of rows, taking up petabytes of storage. Thomas has been a Microsoft Data Platform MVP for 9 years and has spoken regularly at conferences, SQLSaturdays, and user groups for 12 years.
LinkedIn: http://www.linkedin.com/in/reevessmithiii/
Contact: http://reevessmith.wordpress.com
Reeves Smith, owner and principal architect of Macer Consulting, is passionate about applying data technologies that empower organizations. Reeves wields his knowledge and experience to lead, design, architect, and teach, working with both data center and business project teams. He approaches every project by first understanding the organization’s business challenges, and then developing a unique approach that targets those business needs accurately and effectively. Reeves Smith has more than 20 years of experience working on the SQL Server stack. He is a Microsoft Data Platform MVP and Microsoft Certified Master, and regularly delivers technical presentations at international, regional, and local conferences and user groups.
LinkedIn: https://www.linkedin.com/in/sqlespresso
Contact: http://www.sqlespresso.com
Monica Rathbun lives in Virginia, is a Microsoft MVP for Data Platform and Microsoft Certified Solutions Expert. She has nearly two decades of experience working with a wide variety of database platforms with a focus on SQL Server and the Microsoft Data Platform. She is a frequent speaker at IT industry conferences on topics including performance tuning and configuration management. She is the Leader of the Hampton Roads SQL Server User Group and a Mid‐Atlantic PASS Regional Mentor. She is passionate about SQL Server and the SQL Server community, doing anything she can to give back. Monica can always be found on Twitter (@sqlespresso) handing out helpful tips. You can find Monica blogging at sqlespresso.com
LinkedIn: https://www.linkedin.com/in/brentozar
Contact: https://www.BrentOzar.com
Brent Ozar loves to make SQL Server faster. He created sp_Blitz and the SQL Server First Responder Kit. He shares what he's learned at BrentOzar.com.
LinkedIn: https://www.linkedin.com/in/sqlrus
Contact: http://www.sqlrus.com
John Morehouse is currently a Consultant with Denny Cherry Associates living in Louisville, Kentucky. With over 2 decades of technical experience in various industries, John now focuses on the Microsoft Data platform and specializes in Microsoft SQL Server. He is honored to be a Microsoft Data Platform MVP, VMWare vExpert, Friend of Red Gate, Sentry One PAC member Community Ambassador, and 2016 Idera Ace. John has a passion around speaking, teaching technical topics, and giving back to the technical community as much as possible. He is a user group leader, SQLSaturday organizer, and former PASS regional mentor. He is also a blogger, avid tweeter, and a frequent speaker at SQLSaturday’s as well as other conferences.
LinkedIn: http://www.linkedin.com/pub/rick-heiges/1/b93/777/
Contact: http://sqlblog.com/blogs/rick_heiges/default.aspx
Rick is a Former Data Platfrom MVP and Sr. Consultant for Microsoft where he focuses on working with customers on their data estate. His career includes work as a DBA, University full-time faculty member, Systems Analyst, Project Leader, and Developer. He has found his passion in working with data and the community. Rick served nine years on the PASS Board of Directors and spearheaded the popular 24 Hours of PASS event. He also started his local User Group in 2002.
LinkedIn: https://www.linkedin.com/in/brentozar
Contact: https://www.BrentOzar.com
Brent Ozar loves to make SQL Server faster. He created sp_Blitz and the SQL Server First Responder Kit. He shares what he's learned at BrentOzar.com.
Contact: http://www.rafael-salas.com
Rafael Salas is a recognized speaker and published author with more than 17 years of experience in business intelligence and information architecture. He is the recipient of multiple industry recognition, including the Microsoft MVP Award and The Data Warehouse Institute Best Practices Award. Rafael is also an active member of the SQL Server technical community and blogs regularly at www.rafael-salas.com.
LinkedIn: http://www.linkedin.com/in/WayneSheffield
Contact: http://blog.waynesheffield.com/wayne
Wayne Sheffield, a Microsoft Certified Master in SQL Server and Microsoft Most Valuable Professional, started working with xBase databases in the late 80’s. With over 25 years in IT, he has worked with SQL Server (since 6.5 in the late 90’s) in various dev/admin roles, with an emphasis in performance tuning. He is the author of several articles at www.sqlservercentral.com, a co-author of “SQL Server T-SQL Recipes”, and enjoys sharing his knowledge by presenting at SQL events worldwide and blogging at http://blog.waynesheffield.com/wayne
LinkedIn: http://www.linkedin.com/in/ddriviello
Contact: http://n/a
Danette Riviello has been working with databases for thirty years. With experience as a database developer, database administrator and manager of DBAs, she is now Lead System Architect at Magellan Health. She has spoken at a SQL Pass Summit, Baltimore SQL Server Users Group and SQLSaturdays. Her technical expertise is in Disaster Recovery Planning, Performance Tuning and Replication.
LinkedIn: https://www.linkedin.com/pub/slava-murygin/9/b95/858
Contact: http://slavasql.blogspot.com/
Started working with SQL Server 7.0 as DBA and Developer. Since then went through all SQL Server versions, migrations and multiple companies of different sizes and industries. Currently working as a contractor with all aspects of SQL Server, including, but not limited to: troubleshooting performance, designing/developing: databases, systems, processes, data warehouses, cubes, reports, ETLs; Refactoring old code; Migrating data from other systems to SQL Server; Securing the data on enterprise level.
LinkedIn: http://www.linkedin.com/in/aherold
Contact: http://www.sqlkitten.com/
Amy Herold is currently a Premier Field Engineer with Microsoft, specializing in APS. Prior to this, she was a Sr. Database Administrator, focusing on PowerShell and automation. She is also currently the Director of Programs for the North Texas SQL Server User Group (NTSSUG). She frequently speaks at SQLSaturday and user group events across the United States and has also participated in numerous Women in Technology sessions as a panelist. Amy currently blogs at sqlkitten.com.
LinkedIn: http://ca.linkedin.com/in/melodyzacharias
Contact: http://sqlmelody.com
Melody is the Sr. Microsoft Solutions Manager at Pure and has been in love with data since 1991. She has been sharing her passion with the community in technical sessions and blogs since 2014. She has been a Microsoft MVP since 2016, including winning Rookie of the year for Canada that year. This last year, she was elected to the board of directors for PASS.org, the professional association for SQL Server and was awarded Regional Director by Microsoft. She has co-authored 3 books, including, SQL Server 2019 Administration inside out by Microsoft Press.
LinkedIn: https://www.linkedin.com/in/williamjwolf
Contact: http://www.sqlwarewolf.com
Bill is the Manager of SQL Server Performance Tuning for RDX. He works with over 400 customers on solutions within the SQL Server environment and specialized in code tuning and mentoring the team within RDX. He has become a SQLSaturday veteran speaking at nearly 40 SQLSaturdays in the last 3 years. He has also spoken at Summit and is an Idera Ace class of 2018. Bill is active in the Pittsburgh SQL Server User Group. He is also the chapter lead for the DevOps Virtual User Group. He is passionate about educating users on SQL Server and mentoring others.
LinkedIn: http://www.linkedin.com/in/AndyLeonard
Contact: https://andyleonard.blog
Andy Leonard is founder and Chief Data Engineer at Enterprise Data Analytics, Microsoft Data Platform MVP, creator of the DILM (Data Integration Lifecycle Management) Suite, an SSIS trainer, consultant, developer, Business Intelligence Markup Language (Biml) developer and BimlHero, SQL Server database and data warehouse developer, community mentor, engineer, and farmer. He is a co-author of "The Biml Book and SQL Server Integration Services Design Patterns" and author of "Managing Geeks - A Journey of Leading by Doing", "Data Integration Lifecycle Management with SSIS", "Building Custom Tasks for SSIS", and the "Stairway to Integration Services". Andy blogs at andyleonard.blog where you can learn more on the About Andy page.
Contact: http://www.KevinSGoff.net
Kevin S. Goff (http://www.kevinsgoff.net) is a Microsoft SQL Server MVP Database architect/developer/speaker/author Regular columnist for CoDe Magazine on .NET, SQL Server, and Business Intelligence topics Frequent speaker at community events in the Mid-Atlantic region. Host of BDBI Radio (http://www.bdbiradio.com), a weekly webcast on SQL/BI topics
LinkedIn: https://www.linkedin.com/in/mattpgh
Contact: http://wwww.nelsonsweb.net
Matt Nelson is a Database Administrator and Business Intelligence developer for RDX (Remote DBA Experts) in Pittsburgh, PA. With over 10 years of experience, He works with more than 200 clients on general database administration needs and BI projects. Matt is also the Chapter Leader of the Pittsburgh SQL Server Users Group, and an organizer of Pittsburgh SQLSaturday. He occasionally blogs at www.nelsonsweb.net and http://www.rdx.com/Blog/
LinkedIn: https://www.linkedin.com/in/davefackler
Contact: http://davefackler.blogspot.com/
Dave Fackler is a business intelligence architect, focusing on enterprise data warehouse and business intelligence solutions using Microsoft technologies. Dave has helped organizations design and implement large-scale data warehouses, exploiting SQL Server enterprise database features using dimensional modeling design principles and best practices. He has also architected and developed several enterprise ETL processes using SSIS and its robust set of high-performance tasks and transformations. Dave has delivered various end-user reporting solutions using SSAS and SSRS, often coupled with SharePoint and Office components. Dave speaks about business intelligence at numerous technical conferences, user groups and professional groups each year.
LinkedIn: http://www.linkedin.com/in/jasonhorner
Contact: http://blog.jasonhorner.com
Hi, my name is Jason I'm a practice lead at Redapt. I spend most of my day helping clients solve business problems mostly in the Data and Advanced Analytics spaces. Sometimes this involves various and sundry cloud technologies including Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Store, Azure Databricks, HDInsight and Azure SQL Database. I'm fluent in several languages including: SQL, C#, Python, and PowerShell. I'm a Microsoft Certified Master of SQL Server (MCM) and have been recognized for my technical excellence and evangelism efforts by Microsoft by being awarded the Most Valuable Professional (MVP) for the last 5+ years. In my off hours I like to snowboard, karaoke, ride roller coasters, and play arcade games
LinkedIn: http://www.linkedin.com/in/way0utwest
Contact: http://www.voiceofthedba.com/
Steve Jones is a Microsoft SQL Server MVP and has been working with SQL Server since version 4.2 on OS/2. After working as a DBA and developer for a variety of companies, Steve co-founded the community website SQLServerCentral.com in 2001. Since 2004, Steve has been the full-time editor of the site, ensuring it continues to be a great resource for SQL Server professionals. Over the last decade, Steve has written hundreds of articles about SQL Server for SQLServerCentral.com, SQL Server Standard magazine, SQL Server Magazine, and Database Journal.
LinkedIn: https://www.linkedin.com/in/jamiewick/
Contact: http://blog.wicktech.net
Jamie Wick is the Systems Database Engineer for The College of William Mary and has been working with SQL databases for the past 10+ years. His background includes working for several years as a SQL SysAdmin for the University of Queensland (Australia), a Masters degree in Computer Information Systems from Boston University, and assorted Microsoft SQL certifications. He is the Chapter Leader of the Richmond SQL Server Users Group, a volunteer and speaker at regional SQL events (User Groups/SQLSaturdays), helps run the SQLSaturday RVA events, and is an avid photographer.
Mark Hudson is an MCITP with many years of experience in business intelligence and data analysis. He has developed data solutions using numerous platform tools including multiple SQL Server versions. He is a data architect and developer with CapTech (www.captechconsulting.com) and served as a leader of the Richmond SQL Server User Group (www.richmondsql.org).
LinkedIn: http://www.linkedin.com/in/mikewells
Contact: http://sqltechmike.com
Michael Wells is a Microsoft Specialist at Dell EMC covering enterprise customers. He has worked in IT since 2000 and has supported all versions of SQL Server from SQL Server 2000 to SQL Server 2014. Michael has been presenting since 2007 for local user groups, CodeCamps, SQLSaturday events, IT Pro Camps, and large conferences like PASS Summit and Oracle OpenWorld.
LinkedIn: http://www.linkedin.com/in/WayneSheffield
Contact: http://blog.waynesheffield.com/wayne
Wayne Sheffield, a Microsoft Certified Master in SQL Server and Microsoft Most Valuable Professional, started working with xBase databases in the late 80’s. With over 25 years in IT, he has worked with SQL Server (since 6.5 in the late 90’s) in various dev/admin roles, with an emphasis in performance tuning. He is the author of several articles at www.sqlservercentral.com, a co-author of “SQL Server T-SQL Recipes”, and enjoys sharing his knowledge by presenting at SQL events worldwide and blogging at http://blog.waynesheffield.com/wayne
LinkedIn: http://www.linkedin.com/pub/christopher-bell/19/a08/93/
Contact: https://www.wateroxconsulting.com/
Chris Bell offers a unique view of how we live and work with data, both now and as we head into the future. Having braved many roles, lifecycles, and battles in the IT world, he has honed his DBA (Database Administration or Do 'Bout Anything) skills in Information Systems and development, focusing on SQL Server. Currently, he serves as the lead DBA at The Motley Fool. You can keep up with Chris' thoughts and technical community activities at WaterOxConsulting.com.
LinkedIn: https://www.linkedin.com/in/mindycurnutt
Contact: http://www.mindycurnutt.com
Mindy Curnutt is a 5X Microsoft Data Platform MVP, Business Owner and Entrepreneur. Her specialties include SQL Server hardware, configuration, migrations, scalability, performance tuning. She has been actively involved in the SQL Server Community for over two decades and has become a well known speaker within the SQL and Transportation Management communities. She is a two-time PASS Volunteer of the Month, has presented at 6 SQLPASS Summits, Live360, DevConnections, MVPMix and too many SQLSaturdays to count. She is currently the President of the North Texas SQL Server User Group out of Dallas/Fort Worth, TX.
LinkedIn: http://www.linkedin.com/in/aymansqldba
Contact: http://www.thesqlpro.com
Ayman is a passionate SQL Server DBA, Developer, and BI Developer. His passion for technology started when he was a young boy playing DOS games on his father's computer. He can be reached via his blog or twitter handle and is looking forward to connecting with other SQL Geeks.
I have over 12 years of experience working with SQL Server and Business Intelligence Technology. My current focus is cloud technologies: Power BI, Azure Analysis Services, Azure SQL Data Warehouse, Azure Data Factory. As a PFE at Microsoft, I regularly deliver 2 - 4 day training workshops.
LinkedIn: https://www.linkedin.com/in/carloslchacon
Contact: http://sqldatapartners.com/blog
Carlos Chacon is the managing partner of SQL Data Partners LLC and co-host of the popular SQL Data Partners Podcast. While getting his start as a typical accidental DBA, Carlos has sat on Microsoft exam review panels, served as regional mentor and chapter leader. He enjoys traveling and has been to four continents, speaks Spanish and can eat his weight in raspberries (not yet proven). He and his family live in Richmond, Virginia.
LinkedIn: https://www.linkedin.com/in/patrickkeisler
Contact: http://www.patrickkeisler.com
I#39;m a husband, a father, an Atlanta Braves fan, and oh yeah...I know a thing or two about Microsoft SQL Server, because I work for Microsoft supporting it as a Premier Field Engineer. I have over 15 years of DBA experience and have gained considerable knowledge in SQL Server by supporting lots of different type of applications ranging from high-volume trading applications to large data warehouses. I hold several certifications: MCSE: Data Platform, MCITP SQL 2008 Admin and Dev, and Security+.
LinkedIn: http://www.linkedin.com/in/way0utwest
Contact: http://www.voiceofthedba.com/
Steve Jones is a Microsoft SQL Server MVP and has been working with SQL Server since version 4.2 on OS/2. After working as a DBA and developer for a variety of companies, Steve co-founded the community website SQLServerCentral.com in 2001. Since 2004, Steve has been the full-time editor of the site, ensuring it continues to be a great resource for SQL Server professionals. Over the last decade, Steve has written hundreds of articles about SQL Server for SQLServerCentral.com, SQL Server Standard magazine, SQL Server Magazine, and Database Journal.
LinkedIn: http://www.linkedin.com/in/jasonhorner
Contact: http://blog.jasonhorner.com
Hi, my name is Jason I'm a practice lead at Redapt. I spend most of my day helping clients solve business problems mostly in the Data and Advanced Analytics spaces. Sometimes this involves various and sundry cloud technologies including Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Store, Azure Databricks, HDInsight and Azure SQL Database. I'm fluent in several languages including: SQL, C#, Python, and PowerShell. I'm a Microsoft Certified Master of SQL Server (MCM) and have been recognized for my technical excellence and evangelism efforts by Microsoft by being awarded the Most Valuable Professional (MVP) for the last 5+ years. In my off hours I like to snowboard, karaoke, ride roller coasters, and play arcade games
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
The following is a list of sponsors that helped fund the event.


The inverse design of hyperbolic transport equations can be addressed by using gradient-adjoint methodologies. Recently, Morales-Hernandez and Zuazua [1] investigated the convenience of using low order numerical schemes for the adjoint resolution in the gradient-adjoint method. They focused on hyperbolic transport scalar equations with an heterogeneous time-independent vector field.
Morales-Hernandez and Zuazua analysed the numerical resolution of the adjoint equation by means of two methods: a First Order Upwind $(FOU)$ scheme and a Second Order Upwind $(SOU)$ scheme. They concluded that the $FOU$ scheme is the best choice when dealing with smooth functions once the $SOU$ scheme introduces some spurious oscillations. In addition, the $FOU$ scheme requires shorter computational time than the $SOU$ scheme. The non-linear transport problems in which sharp interfaces or discontinuities may appear in the functions has remained to be studied.
The numerical scheme for the adjoint equation determines the direction of descent in the iteration procedure, and consequently the $CPU$ time consumed by the solver. As the $CPU$ time is a decisive factor, we propose an eulerian-lagrangian scheme that uses the Modified Method of Characteristics ($MMOC$) [2] for solving the transport and adjoint equations. The $MMOC$ method is based on the characteristic curves, and so very computationally competitive for linear hyperbolic transport equations. The $MMOC$ was initially developed performing the resolution in a forward sense. In this work, the eulerian-lagrangian scheme is used for the transport and adjoint resolution, employing it in both forward and backward senses.
We perform numerical tests in order to investigate the accuracy and efficiency of the eulerian-lagrangian scheme to solve the problem of inverse design of linear and non-linear hyperbolic transport scalar equations.
The gradient-adjoint method
Consider the following hyperbolic transport scalar equation with a vector flux function ${\bf f} (u)$:
\begin{equation}\label{eq1}
\frac{\partial u}{\partial t} + \nabla \cdot {\bf f} (u) = 0, ~ ~ u({\bf x},0) = u_0.
\end{equation}
Given a target function $u^* \in \bf H$, $\bf H$ being a Hilbert space, the problem of inverse design consists of achieving $u_0 \in \bf H$ such that the solution of the former evolution equation satisfies $u(T) = u^*$. This problem is solved via the minimization of the functional
\begin{equation}\label{eq2}
J(u_0) = \frac{1}{2} \int_{0}^{T} \int_{\Omega} (u(T) - u^*)^2 d\Omega dt
\end{equation}
by means of the gradient descent method:
\begin{equation}\label{eq3}
{u_0}^{k+1} = {u_0}^k - \epsilon {\nabla J}^k,
\end{equation}
where $\epsilon$ is the step size, and the gradient $\nabla J = \sigma (0)$, in which $\sigma$ is the adjoint variable . The gradient $\sigma (0)$ is achieved by solving the adjoint equation:
The gradient-adjoint method is based on iterating a loop, where the transport equation (\ref{eq1}) is solved in a forward sense, while the adjoint equation (\ref{eq4}), which is of hyperbolic nature as well, is solved backwards in time.
The $MMOC$ in forward sense
Eulerian-lagrangian approaches provide computationally efficient techniques for approximating the solution of hyperbolic transport equations. Douglas and Russel [2] introduced an eulerian-lagrangian method based on the characteristic curve - the $MMOC$ - to develop fast solvers for hyperbolic transport equations. Despite the $MMOC$ does not provide a local conservation of the identity associated with the function, it present good performance for linear hyperbolic transport equations.
We use the $MMOC$ method for solving the transport and adjoint equations in the context of the problem of inverse design of hyperbolic transport equations. In this problem, the adjoint equation is always a linear differencial equation, worthing the use of the eulerian-lagrangian scheme. The gradient-adjoint iteration requires the adjoint equation to be solved in backward sense. We employ an eulerian-lagrangian scheme that uses the $MMOC$, considering procedures in forward and backward senses.
Consider a scalar hyperbolic transport equation determining the initial value problem
\begin{equation}\label{eq5}
\frac{\partial u}{\partial t} + \nabla \cdot {\bf f} (u) = 0, ~ ~ u({\bf x},0) = u_0 ,
\end{equation}
where ${\bf f} (u)$ is a vector flux function. Rewriting the Eq. (\ref{eq5}) in nondivergence form,
\begin{equation}\label{eq6}
\frac{\partial u}{\partial t} + {\bf f}^\prime (u) \cdot \nabla u = 0 .
\end{equation}
The solution of Eq. (\ref{eq6}) is essentially along the characteristic curves of the transport operator $\partial / \partial t + {\bf f}^\prime (u) \cdot \nabla$, so that it is appropriate to introduce differentiation in this characteristic direction. Let
\begin{equation}\label{eq7}
\partial / \partial t + {\bf f}^\prime (u) \cdot \nabla = \psi \frac{\partial}{\partial \tau} , ~~\psi (u) = \sqrt {1 + {\left \lVert {\bf f}^\prime (u) \right \rVert}^2} ,
\end{equation}
in which the direction $\tau$ depends on $\bf x$.
Let us consider the discretization of Eq. (\ref{eq6}) in time. Denote the time step $\Delta t > 0$ and consider the approximation of the solution at times $t^n = n \Delta t$. In the standard $MMOC$, the characteristic derivative is approximated by
\begin{equation}\label{eq8}
\psi \frac{\partial u}{\partial \tau} \approx \psi (u({\bf x}, t^{n-1})) \frac {u({\bf x}, t^{n}) - u(\overline {\bf x}^n, t^{n-1})}{\sqrt {\left \lVert {\bf x} - \overline {\bf x}^n \right \rVert^2 + (\Delta t)^2 }} = \frac {u({\bf x}, t^{n}) - u(\overline {\bf x}^n, t^{n-1})}{\Delta t} ,
\end{equation}
where
\begin{equation}\label{eq9}
\overline {\bf x}^n = \overline {\bf x}^n ({\bf x}) = {\bf x} - {\bf f}^\prime (u({\bf x}, t^{n-1}) \Delta t .
\end{equation}
Let $U^n ({\bf x})$ denote the approximations to $u({\bf x},t^n)$. For a predecessor position
\begin{equation}\label{eq10}
\overline {\bf X}^n ({\bf x}) = {\bf x} - {\bf f}^\prime (U^{n-1} ({\bf x})) \Delta t,
\end{equation}
the transported function is defined as
\begin{equation}\label{eq11}
\overline {U}^n ({\bf x}) = u (\overline {\bf X}^n ({\bf x}), t^{n-1}) .
\end{equation}
As the continuous in space approximation for Eq. (\ref{eq6}) is
\begin{equation}\label{eq12}
\frac{U^n ({\bf x}) - \overline U^{n} ({\bf x})}{\Delta t} = 0 ,
\end{equation}
the $MMOC$ scheme is given by
Preliminary results
The performance of the $MMOC$ scheme is checked in numerical tests, where two hyperbolic transport problems are considered. The results by $MMOC$ are compared with the ones by the Lax-Wendroff ($LW$), which is a second-order central scheme.
2D Doswell frontogenesis
The first test case symbolizes the presence of horizontal temperature gradients and fronts in the context of meteorological dynamics. In this linear problem the flux function is
\begin{equation}
{\bf f} (u) = {\bf v} (x,y)~ u ,
\end{equation}
where ${\bf v} (x,y)= g~(-y,~x)$, $g = \frac{1}{r}2.59807~sech^2(r)~tanh(r)$, and $r = \sqrt{x^2 + y^2}$. The exact solution of this problem is given by
\begin{equation}
u (x,y,t) = tanh(y~cos(gt) - x~sin(gt)).
\end{equation}
The domain $\Omega = [-5,5]^2$ is discretized in 40000 square cells, a step size $\epsilon = 0.5$ is selected and the Courant number is set to $CFL = 1.0$. The results are shown in Fig.1 for the initial condition and target function at $T = 4s$. The target function in a vortex-type profile is presented by both the $LW$ and $MMOC$ schemes.
Figure 1. The initial condition and target function by $LW$ (top) and MMOC (bottom).
Results of $CPU$ time and $L_2$ norm of the numerical initial condition with respect to the exact initial condition are displayed in Table [1]. The results are quite the same for the $LW$ and $MMOC$, since we have a linear transport equation.
|
$Scheme$
|
$CPU~ time~ (s)$
|
$L_2~ norm$
|
|
$LW$
|
49.0
|
4.07
|
|
$MMOC$
|
80.8
|
3.96
|
Table 1. Performance for initial condition in the Doswell frontogenesis.
Inviscid Burgers equation
We consider the Burgers equation with zero viscosity term which is called the inviscid Burgers equation. This equation is one of the most useful formulation of the behaviour of the shock waves in which nonlinear advection can be observed. In this nonlinear problem the flux function is
\begin{equation}
f (u) = \frac{1}{2} u^2 .
\end{equation}
The exact solution of this problem is given by
\begin{equation}
u(x,t) = sin(x - ut) .
\end{equation}
The domain $\Omega = [0,32]^2$ is discretized in 4096 square cells, a step size $\epsilon = 0.01$ is selected and the Courant number is set to $CFL = 0.1$. The exact and $MMOC$ initial conditions are shown in Fig 2 considering zero values as a guess initial condition. Only with the $MMOC$ scheme the numerical solver was able to converge to the initial condition for the selected step size.
Figure 2.The exact (left) and $MMOC$ (right) initial conditions.
In order to observe the convergence to the initial condition, we set $u_0(x) = \beta sin(x)$ as a guess initial condition, where $\beta$ is a constant. As $\beta$ is next to one, the guess initial conditions is closer to the exact initial condition. Table 2 displays the $CPU$ time and $L_2$ norm of the numerical initial condition with respect to the exact initial condition for several $\beta$ values. The numerical solver using $MMOC$ scheme converged for any $\beta$ value, showing that the norm is smaller as the $\beta$ is increased.
| $\beta$ | $LW$ | $MMOC$ |
| 0.1 | 3.68 | 3.39 |
| 0.5 | 2.82 | 2.70 |
| 0.9 | 0.95 | 1.19 |
Table 2. Performance for initial condition by $MMOC$ in the Burgers problem.
Conclusions
The results achieved and presented here are preliminary ones. The $MMOC$ is a promising eulerian-lagrangian scheme for the problem of inverse design of nonlinear transport equations. More complex problems and another eulerian-lagrangian scheme are to be tested. The next steps are the follows:
- simulate and investigate the Buckley-Leverett problem;
- simulate and investigate the miscible tracer flow; and
- use the $LCELM$ eulerian-lagrangian scheme [3].
References
[1] M. Morales-Hernandez, E. Zuazua, Adjoint computational methods for 2d inverse design of linear transport equations on unstructured grids, Computational and Applied Mathematics (2019)
[2] J. Douglas, T. F. Russell, Numerical methods for convection dominated diffusion problems based on combining the method of characteristics with finite element or finite difference procedures, SIAM J.
Numer. Anal. (1982)
[3] J. Douglas, F. Pereira, L.-M. Yeh, A locally conservative euleriana lagrangian numerical method and its application to nonlinear transport in porous media, Computational Geosciences (2000)


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Very Important Information H1
Sections & Modal Names H2
Articles & Block Headings H3
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The unique stripes of zebras make them one of the animals most familiar to people. They occur in a variety of habitats, such as grasslands, savannas, woodlands, thorny scrublands, mountains , and coastal hills. However, various anthropogenic factors have had a severe impact on zebra populations, in particular hunting for skins and habitat destruction. Grévy's zebra and the mountain highlighted text zebra are endangered.
Blockquotes. However, various anthropogenic factors have had a severe impact on zebra populations, in particular hunting for skins.
lthough zebra species may have overlapping ranges, they do not interbreed. In captivity, plains zebras have been crossed with mountain zebras. The hybrid foals selected text lacked a dewlap and resembled their
Lists
Unordered
- A wide variety of hypotheses have been proposed to account for the evolution of the striking stripes of zebras.
- The more traditional of these (1 and 2, below) relate to camouflage.
- The vertical striping may help the zebra hide in the grass by disrupting its outline.
-
In addition, even at moderate distances, the striking striping merges to an apparent grey.
- However, the camouflage has been contested with arguments that most of a zebra's predator.
- Such as lions and hyenas cannot see well at a distance.
- More likely to have smelled or heard a zebra.
- Before seeing it from a distance, especially at night.
Ordered
- A wide variety of hypotheses have been proposed to account for the evolution of the striking stripes of zebras.
- The more traditional of these (1 and 2, below) relate to camouflage.
- The vertical striping may help the zebra hide in the grass by disrupting its outline.
-
In addition, even at moderate distances, the striking striping merges to an apparent grey.
- However, the camouflage has been contested with arguments that most of a zebra's predator.
- Such as lions and hyenas cannot see well at a distance.
- More likely to have smelled or heard a zebra.
- Before seeing it from a distance, especially at night.
Misc
Address
SJØNNANezalezhnasti Ave, 13 - 28A
Minsk, Belarus, 220141
+375 29 319-53-98
Vasili Savitski
hello@examplemail.com


==== Purely Memory Resident ====
Memory resident attacks are generally the most preferred as most technologies do not inspect memory. As an attacker, finding a way to live in memory purely would be most desirable. When writing to disk, most applications will conduct scans, baselines, and other identifications of potentially maliicous software. The ability to be detected when writing to disk becomes significantly greater.


I'm an 18 year old Android Developer studying at the Univeristy of Toronto.
We respect your privacy. We do not share your personal information o any information. We hope our service continues to help you eat on time. Bless.


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object coins.flow.SetRefReprImpl
Implementation of the SetRefRepr interface
| Field Summary | |
protected java.util.Set |
fAllSubexps
fAllSubexps contains ExpId's of all subexpressions under the node corresponding to this. |
protected BBlock |
fBBlock
|
protected java.util.List |
fCallNodes
|
protected boolean |
fCallWithSideEffectIncluded
fCallIncluded is True if call with side effect is included in the subtree fIR, false otherwize; |
protected ExpId |
fCorrespondingExpId
|
int |
fDbgLevel
|
protected ExpId |
fDefExpId
|
protected FlowAnalSym |
fDefSym
Symbol or ExpId defined by this SetRefRepr. |
protected java.util.Set |
fExpIdSet
|
protected java.util.List |
fExps
|
protected FlagBox |
fFlags
|
protected IR |
fIR
|
protected java.util.Set |
fLeafOperands
fLeafOperands contains symbols of subexpressions used as operands by the subtree corresponding to this. |
protected java.util.Set |
fLhsSyms
|
Flow |
flow
|
FlowRoot |
flowRoot
|
protected java.util.Set |
fModSyms
fModSyms contains Symbols that may be modified by the node corresponding to this. |
protected java.util.Set |
fModSyms00
fModSYms00 contains symbols in fModSyms and symbols that may be modified by subprogram is hasCall() is true for this SetRefRepr. |
protected java.util.Set |
fModSymsStmt
fModSymsStmt contains Symbols that may be modified by the simple statement containing the subtree corresponding to this SetRefRepr. |
protected int |
fOpCode
|
protected java.util.Set |
fOperandExp
fOperandExp contains ExpId's of subexpressions used as direct operands by the subtree corresponding to this. |
SubpFlow |
fSubpFlow
|
protected java.util.Set |
fUseFlowAnalSyms
|
protected java.util.List |
fUseNodeList
|
protected java.util.List |
fUseSymList
|
protected java.util.Set |
fUseSyms
|
SymRoot |
symRoot
|
| Fields inherited from interface coins.flow.SetRefRepr |
HAS_CONTROL, IS_RETURN, SETS |
| Constructor Summary | |
SetRefReprImpl(IR pIR,
SubpFlow pSubpFlow,
ExpId pExpId)
|
| Method Summary | |
boolean |
allFalse()
|
ExpId |
defExpId()
|
java.util.Iterator |
expIterator()
Returns the Set of nodes that have FlowAnalSym attached and are not a Def node. |
java.util.ListIterator |
expListIterator()
Returns a DFO iterator that iterates over nodes that have a FlowExpId attached, and, if "this" is value-setting, is not a Def node. |
java.util.ListIterator |
expListIterator(boolean pFromTop,
boolean pFromLeft)
Returns an DFO iterator that iterates over nodes that have a FlowExpId attached, and, if "this" is value-setting, is not a Def node. |
java.util.ListIterator |
expListIteratorFromBottom()
|
abstract java.util.List |
exps()
Get the list of expressions (that have ExpId) under the associated subtree. |
(package private) abstract java.util.List |
exps(boolean pFromTop,
boolean pFromLeft)
|
BBlock |
getBBlock()
|
ExpId |
getCorrespondingExpId()
|
FlowAnalSym |
getDefFlowAnalSym()
|
FlowAnalSym |
getDefSym()
|
boolean |
getFlag(int pFlagNumber)
|
IR |
getIR()
Returns the IR node this SetRefRepr represents. |
java.util.Set |
getUseFlowAnalSyms()
|
boolean |
hasControl()
Does this SetRefRepr is at the end of the
BBlock and has a role to determine the flow of control
after this SetRefRepr ? |
boolean |
isReturn()
|
void |
setFlag(int pFlagNumber,
boolean pYesNo)
|
boolean |
sets()
Returns true if this SetRefRepr involves value-setting, other than via the external call. |
IR |
topUseNode()
If this is a value-setting node, returns the top node of the RHS. |
java.lang.String |
toString()
Converts to a String object. |
java.util.List |
useSymList()
Returns the List of FlowAnalSyms used in this SetRefRepr. |
java.util.Set |
useSyms()
Returns the Set of the FlowAnalSyms used in this SetRefRepr. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface coins.flow.SetRefRepr |
callNodes, defNode, defSym, hasCallWithSideEffect, lhsSyms, modSyms, modSyms00, nodeListIterator, useNodeIterator, useNodeList, writesToDefiniteAddress |
| Field Detail |
public final FlowRoot flowRoot
public final SymRoot symRoot
public final SubpFlow fSubpFlow
public final Flow flow
protected IR fIR
protected java.util.List fUseNodeList
protected int fOpCode
protected FlagBox fFlags
protected BBlock fBBlock
protected FlowAnalSym fDefSym
protected java.util.Set fModSyms
protected java.util.Set fModSymsStmt
protected java.util.Set fModSyms00
protected java.util.Set fLeafOperands
protected java.util.Set fOperandExp
protected java.util.Set fAllSubexps
protected boolean fCallWithSideEffectIncluded
protected java.util.Set fLhsSyms
protected java.util.Set fUseSyms
protected java.util.Set fUseFlowAnalSyms
protected java.util.Set fExpIdSet
protected java.util.List fExps
protected java.util.List fCallNodes
protected java.util.List fUseSymList
protected ExpId fDefExpId
protected ExpId fCorrespondingExpId
public final int fDbgLevel
| Constructor Detail |
public SetRefReprImpl(IR pIR, SubpFlow pSubpFlow, ExpId pExpId)
| Method Detail |
public IR getIR()
SetRefRepr
getIR
in interface SetRefRepr
public java.util.Set useSyms()
SetRefRepr
useSyms
in interface SetRefRepr
public java.util.List useSymList()
SetRefRepr
useSymList
in interface SetRefRepr
public java.util.Set getUseFlowAnalSyms()
getUseFlowAnalSyms
in interface SetRefRepr
public IR topUseNode()
SetRefRepr
getIR()
.
topUseNode
in interface SetRefRepr
public ExpId defExpId()
public FlowAnalSym getDefSym()
getDefSym
in interface SetRefRepr
public FlowAnalSym getDefFlowAnalSym()
public java.lang.String toString()
SetRefRepr
toString
in interface SetRefRepr
public java.util.Iterator expIterator()
expIterator
in interface SetRefRepr
SetRefRepr.defNode()
public java.util.ListIterator expListIterator()
SetRefRepr
expListIterator
in interface SetRefRepr
public java.util.ListIterator expListIteratorFromBottom()
public abstract java.util.List exps()
abstract java.util.List exps(boolean pFromTop, boolean pFromLeft)
public java.util.ListIterator expListIterator(boolean pFromTop, boolean pFromLeft)
SetRefRepr
expListIterator
in interface SetRefRepr
pFromTop
- iterate from top?pFromLeft
- iterate from left?public boolean getFlag(int pFlagNumber)
getFlag
in interface SetRefRepr
public void setFlag(int pFlagNumber, boolean pYesNo)
setFlag
in interface SetRefRepr
public boolean allFalse()
allFalse
in interface SetRefRepr
public boolean sets()
SetRefRepr
true
if this SetRefRepr
involves value-setting, other than via the external call.
sets
in interface SetRefRepr
public boolean hasControl()
SetRefRepr
SetRefRepr
is at the end of the
BBlock
and has a role to determine the flow of control
after this SetRefRepr
?
hasControl
in interface SetRefRepr
public boolean isReturn()
isReturn
in interface SetRefRepr
public BBlock getBBlock()
getBBlock
in interface SetRefRepr
public ExpId getCorrespondingExpId()
|
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HomeGroup is one of the known locations that can be suggested to the file picker as a starting location. The file picker will open at the last opened location and not always the suggested location. Go up to the top level or select HomeGroup in the file picker menu to browse the HomeGroup namespace. HomeGroup will only be available if the PC belongs to a HomeGroup.


{% extends "sentry/bases/account.html" %} {% load crispy_forms_tags %} {% load i18n %} {% load sentry_helpers %} {% block title %}{% trans "Notification Settings" %} | {{ block.super }}{% endblock %} {% block main %}
Alerts are generated based on a project's rules, defined in [Project] » Project Settings » Alerts » Rules.
{% blocktrans %}Workflow notifications are separate from alerts and are generated for issue updates, such as:{% endblocktrans %}
{% blocktrans %} When workflow notifications are enabled for a project, you'll receive an email when your teammates perform any of these actions. {% endblocktrans %}
{% blocktrans %} You'll always receive notifications from issues that you're subscribed to. You may subscribe (or unsubscribe) from individual issues on their respective pages. You'll be automatically subscribed when participating on an issue by taking one of the actions listed above. {% endblocktrans %}
{% blocktrans %}Reports contain a summary of what's happened within your organization over the last week.{% endblocktrans %}
{% blocktrans %}Deploy emails include release, environment and commit overviews. Choose to receive emails for:{% endblocktrans %}
Use the settings below to fine tune notification settings per-project. You may add or verify additional email addresses via the Emails settings.


public class HugeSQLiteCursor
extends java.lang.Object
| Constructor and Description |
|---|
HugeSQLiteCursor(SQLiteDatabase db,
java.lang.String step,
java.lang.String table,
java.lang.String[] columns,
java.lang.String selection,
java.lang.String[] searchText)
Creates an instance of HugeSQLiteCursor which is populated as
necessary with the query results.
|
| Modifier and Type | Method and Description |
|---|---|
void |
close() |
void |
copyStringToBuffer(int arg0,
CharArrayBuffer arg1) |
void |
deactivate()
Deprecated.
|
byte[] |
getBlob(int arg0) |
int |
getColumnCount() |
int |
getColumnIndex(java.lang.String columnName) |
int |
getColumnIndexOrThrow(java.lang.String columnName) |
java.lang.String |
getColumnName(int columnIndex) |
java.lang.String[] |
getColumnNames() |
int |
getCount() |
double |
getDouble(int columnIndex) |
Bundle |
getExtras() |
float |
getFloat(int columnIndex) |
int |
getInt(int columnIndex) |
long |
getLong(int columnIndex) |
int |
getPartialCount()
How many rows have been loaded so far?
|
int |
getPosition() |
short |
getShort(int columnIndex) |
java.lang.String |
getString(int columnIndex) |
int |
getType(int columnIndex) |
boolean |
getWantsAllOnMoveCalls() |
boolean |
isAfterLast() |
boolean |
isBeforeFirst() |
boolean |
isClosed() |
boolean |
isFirst() |
boolean |
isLast() |
boolean |
isNull(int columnIndex) |
void |
loadUpTo(int last)
Make sure the cursor is loaded at least up to position pos, but it could be a lot more.
|
boolean |
move(int offset) |
boolean |
moveToFirst() |
boolean |
moveToLast() |
boolean |
moveToNext() |
boolean |
moveToPosition(int arg0) |
boolean |
moveToPrevious() |
void |
registerContentObserver(ContentObserver arg0) |
void |
registerDataSetObserver(DataSetObserver arg0) |
boolean |
requery()
Deprecated.
|
Bundle |
respond(Bundle arg0) |
void |
setNotificationUri(ContentResolver arg0,
Uri arg1) |
void |
unregisterContentObserver(ContentObserver arg0) |
void |
unregisterDataSetObserver(DataSetObserver arg0) |
public HugeSQLiteCursor(SQLiteDatabase db, java.lang.String step, java.lang.String table, java.lang.String[] columns, java.lang.String selection, java.lang.String[] searchText)
step
" results.
The cursor created should behave identically to the one you'd
get by running db.query(table, columns, selection,
selectionArgs, null, null, "_id", null), except for performance
of course.
In other words, this constructor is almost identical to a
query(...) command, except results will be sorted by the "_id"
column (this is necessary for HugeSQLiteCursor to work) and
will be loaded only on demand. This also has the consequence
that if the database changes before the cursor has been fully
loaded, then further loaded results will take into accout the
new database.db
- The SQLiteDatabase to use for the query.step
- The cursor will be populated in increments of size
step
. This should be invisible to the cursor
adapter being used, as further increments are
automatically loaded as necessary. The value
directly decides the initial load time of the
cursor: small values will initialize faster, but
will need to perform more frequent re-queries as the
user scrolls down the list (though you can manually
increase the "buffer" by using loadUpTo(...)).
Either way, this should never be less then the
number of items which fit on the screen, or more
then one query will be immediately necessary,
slowing down initialization.table
- The table name to compile the query against.columns
- A list of which columns to return. Passing null
will return all columns, which is discouraged to
prevent reading data from storage that isn't going
to be used. If neither a "*" nor a "_id" column is
present, then a "_id" column will be added at the
end.selection
- A filter declaring which rows to return, formatted as an
SQL WHERE clause (excluding the WHERE itself). Passing null
will return all rows for the given table.selectionArgs
- You may include ?s in selection, which
will be replaced by the values from selectionArgs,
in order that they appear in the selection. The
values will be bound as Strings.SQLiteCursor
public int getPartialCount()
loadUpTo
public int getCount()
public boolean moveToPosition(int arg0)
public void loadUpTo(int last)
pos
- The minimum position you want to be loaded.public boolean isLast()
public final boolean isAfterLast()
public void close()
public void copyStringToBuffer(int arg0, CharArrayBuffer arg1)
@Deprecated public void deactivate()
public byte[] getBlob(int arg0)
public int getColumnCount()
public int getColumnIndex(java.lang.String columnName)
public int getColumnIndexOrThrow(java.lang.String columnName) throws java.lang.IllegalArgumentException
java.lang.IllegalArgumentException
public java.lang.String getColumnName(int columnIndex)
public java.lang.String[] getColumnNames()
public double getDouble(int columnIndex)
public Bundle getExtras()
public float getFloat(int columnIndex)
public int getInt(int columnIndex)
public long getLong(int columnIndex)
public int getPosition()
public short getShort(int columnIndex)
public java.lang.String getString(int columnIndex)
public int getType(int columnIndex)
public boolean getWantsAllOnMoveCalls()
public boolean isBeforeFirst()
public boolean isClosed()
public boolean isFirst()
public boolean isNull(int columnIndex)
public final boolean moveToPrevious()
public boolean move(int offset)
public boolean moveToFirst()
public boolean moveToLast()
public boolean moveToNext()
public void registerContentObserver(ContentObserver arg0)
public void registerDataSetObserver(DataSetObserver arg0)
@Deprecated public boolean requery()
public Bundle respond(Bundle arg0)
public void setNotificationUri(ContentResolver arg0, Uri arg1)
public void unregisterContentObserver(ContentObserver arg0)
public void unregisterDataSetObserver(DataSetObserver arg0)


Molding todays students into tomorrows leaders. The award winning online teacher, student, and parent resource for K-5
More hands on approach to your child's education. Voted the top web site for elementary schools for the 2nd year
Number one resource used by over 200 Florida teachers.
"Our humble company began in the classroom and took off from there. That was two years ago and the success of this web application is more than we had hoped for. As students in elementary school the only way to track progress was through report cards every couple of months. Why not use technology to improve relaying information between teacher, student, and parents easy with the click of a button? This project has reached the lives of thousands of K-5 students in Florida and we hope will reach millions nationwide within the next five years." - Kaitlyn Smith
Welcome,
Student Access Code:
Welcome,


Speech Training App
COMING SOON ...
This is the app to make you learn english correctly and elegantly :)


data class ContentShareStatus
ContentShareStatus indicates a status received regarding the content share.
statusCode
- : ContentShareStatusCode - Additional details for the status
<init> |
ContentShareStatus indicates a status received regarding the content share. ContentShareStatus(: ContentShareStatusCode) |
statusCode |
: ContentShareStatusCode - Additional details for the status val statusCode: ContentShareStatusCode |


Windows 10 x64 (19041.264)
_CM_SHARE_DISPOSITION
CmResourceShareUndetermined = 0n0
CmResourceShareDeviceExclusive = 0n1
CmResourceShareDriverExclusive = 0n2
CmResourceShareShared = 0n3


{% extends "base.html" %} {% block head %} {% endblock %} {% block title %}Contact Us{% endblock %} {% block banner %}Contact Black Rock Tickets{% endblock %} {% block alerts %}
Black Rock Tickets is a service provider for multiple event ticket sales. If you need help or more information, we request that you please contact the event coordinators first:
{{ event.admin_email }}
{% endfor %}If you would like to report a bug, have questions about Black Rock Tickets itself, or would like to inquire about using our software for your event, please contact<EMAIL_ADDRESS>{% endblock %}


*As a request from our client, I have omitted confidential information including recommendations, visual material, and the final report from this piece. Please reach out to me directly for these artifacts.*
Our client is a non-profit organization in Michigan that offers supported employment opportunities to individuals with cognitive disabilities. In a nutshell, the clients are trained for skills needed to find and sustain a job in the real world. This organization approached us with a simple problem: to improve the current evaluation process for gauging the progress in training achieved by their clients. However, after in-depth contextual inquiry conducted over a period of 3 months, we discovered a larger deep-rooted problem in their information flow, and proposed concrete recommendations to overcome it.
What did the client want?
We kicked off the process by setting up a meeting with the director of the non-profit to understand the current processes in play and delve into the intricacies of the evaluation process that they wished to improve. We collected valuable information from this meeting and were able to delineate a high-level information flow for a client’s journey in the non-profit.
When a client initially walks in, the management and trainers work with the client to assess employment needs, and outline goals and objectives needed to attain these needs. The next phase is the training phase, where the trainers actually work with the client in developing different skills needed to achieve the previously defined goals. This assessment phase goes hand-in-hand with the training phase, where the trainers note down the daily progress of every client. The final phase is the evaluation phase at the end of the month, where the trainers calculate the all-inclusive monthly progress of clients to assess whether it aligns with the goals charted in the initial phase.
Background Research
The next step in our process was to dig deeper into the services offered by them and the nature of the the clients that they cater to. Since this was a particularly diverse domain, we divided the effort within the team. The main objectives of this background research were to understand:
- expectations that differently-abled clients may have from such an organization
- physical, emotional and behavioral characteristics of the clients to be thoroughly prepared while interacting with them, owing to the delicate nature of their disabilities
- strengths and weaknesses of similar evaluation processes being researched and implemented.
Interviews - Round 1
Armed with the extensive background research, we drafted out an interview protocol and conducted field study at the non-profit. The primary objective was to understand the high-level processes that we had outlined from the perspectives of different employees in order to look for potential improvements. We interviewed 4 employees: 1 working in upper level management, 1 in mid level management and 2 field trainers. In addition to interviews, we even took a look around the workspaces and observed the trainers in the field, actually performing their tasks. Later, we annotated our interview notes to uncover insights that might have been overlooked in 1:1 interviews.
Interviews - Round 2
The outcome of the first round of field study was that the problem statement that the non-profit initially proposed was not actually a problem, per se. The current evaluation rubric implemented was standardized and the employees were satisfied with it and found it to be effective and useful.
However, we discovered that there was a recurring delay in information flow within the organizational hierarchy. We thought this was a more significant problem and tackling this would be more impactful for the organization. Thus, we decided to re-define our problem statement and conduct a second round of interviews to dig deeper into this delay in information flow. We re-designed our interview protocol with a view to probe and unearth potential sources involving time-intensive work and their collective effect on the delay in the overall process. The high-level objectives of the second round of interviews were to understand:
- Primary and additional responsibilities of trainers
- How trainers communicated with each other and upper management
- How trainer collected, stored, and analyzed data
Affinity Wall
We then proceeded to create an affinity wall based upon both the rounds of interviews conducted. The objective was to organize the data collected during field work and divide it into logical groups which would in turn help us find patterns between the data points we collected during observations.
We discovered that there were several obstacles in the three stages of training, assessment and evaluation which were causing the information delay in the workflow. The crux of the delay was that the trainers were overburdened with additional work, apart from their primary responsibility of training. Also, there was data redundancy and manual effort required that took up a significant time of the trainers. Being highly motivated to help the clients achieve their goals, trainers took upon this additional work as well, but this caused a delay in submitting the client evaluation each month.
To ensure that our client understood the issue, we leveraged actual statistics in the form of hours spent per trainer per month. We isolated each stage and calculated the time spent on additional work by a trainer each month in each stage. We also proposed techniques to reduce this extra effort and presented our recommendations in the form of time that can be potentially saved per client per month.
Finding 1 - Training Phase
At the end of the training every day, trainers have to log the work done by the clients in the form of work hours and assessing progress to see how far are they from achieving their goal for that month. The complexity lies in the redundancy of data reporting which involves manually filling multiple sheets per client per day per training. We provided recommendations that would help save up to 2 hours/ month in this phase.
There is too much work!
Finding 2 - Assessment Phase
Apart from these core responsibilities of the training, trainers also shoulder peripheral responsibilities of tracking attendance, bus duty, community outings, and filling out incident reports that take up a significant portion of their time. Also, we found that attendance is tracked manually, which was even more time-consuming. We provided recommendations that would help save up to 2 hours/ month in this phase.
The technology doesn’t support information input instead hinders it
Signing a document requires printing, signing it, and then scanning it. It is difficult to scan and upload multiple documents.
Finding 3 - Evaluation Phase
Trainers had to compute 2 important tasks at the end of each month. The first is aggregating the daily progress of clients to evaluate the monthly progress and check if it aligned with the goals set. The second is calculating the work hours hours spent by client / month for payroll. However, in spite of having this data in excel sheets, both these computations are performed manually, which is extremely time-consuming. We provided recommendations that would help save up to 2 hours/ month in this phase.
Finding 4 - Communication Standards
There is no standard communication and sharing medium that is used by the trainers and upper management. While email is supposed to be the primary way of communication, physical mailboxes, shared drives and personal meetings are other forms that are also being used for communication as well as for exchange of documents. This has led to data being fragmented across these channels. Also, there is no standard naming convention for documents. This makes it extremely difficult to find the required data, and adds to the time delay at the end of every month.
Impact
We made 2 sets of suggestions - the first being simple and quick fixes they could use to improve their efficiency by a small factor, and the second which involved bigger technological changes and improved their efficiency by 115%, saving upto 22 hours per month and it could be incorporated in their technological overhaul they were planning in the next 6 months.
Here is some feedback that our team received from the director of the organization:
They were wonderful to work with and their report was terrific! Their perspective and expertise in information flow/time usage provided some real insight into how we can better use some staff time.


Aoo!Top will be available in the next version of Aoo!Player...
Aoo!History will be available in the next version of Aoo!Player...


Library: Util
Package: Options
Header: Poco/Util/OptionSet.h
Description
A collection of Option objects.
Member Summary
Member Functions: addOption, begin, end, getOption, hasOption, operator =
Types
Iterator
typedef OptionVec::const_iterator Iterator;
OptionVec
typedef std::vector < Option > OptionVec;
Constructors
OptionSet
OptionSet();
Creates the OptionSet.
OptionSet
OptionSet(
const OptionSet & options
);
Creates an option set from another one.
Destructor
~OptionSet
~OptionSet();
Destroys the OptionSet.
Member Functions
addOption
void addOption(
const Option & option
);
Adds an option to the collection.
begin
Iterator begin() const;
Supports iterating over all options.
end
Iterator end() const;
Supports iterating over all options.
getOption
const Option & getOption(
const std::string & name,
bool matchShort = false
) const;
Returns a reference to the option with the given name.
The given name can either be a fully specified short name, or a partially specified full name. The name must either match the short or full name of an option. Comparison case sensitive for the short name and not case sensitive for the full name. Throws a NotFoundException if no matching option has been found. Throws an UnknownOptionException if a partial full name matches more than one option.
hasOption
bool hasOption(
const std::string & name,
bool matchShort = false
) const;
Returns a true if and only if an option with the given name exists.
The given name can either be a fully specified short name, or a partially specified full name. If a partial name matches more than one full name, false is returned. The name must either match the short or full name of an option. Comparison case sensitive for the short name and not case sensitive for the full name.
operator =
OptionSet & operator = (
const OptionSet & options
);
Assignment operator.


Topicstarter
I don't think the actual battlelog will allow the BBlog to create a "blacklist" page to the site.
So, like the radar from cheaters, players could actually "mark" a server by themselves as bad.
Its a bit crazy to remember all the bad servers you entered in :(
There already exists a server radar feature in BBLog.


{{ define "main" }} {{ partial "header.html" . }}
{{ .Content }}
Managing Director
Innovation Manager
Technical Director


Before Change
this is done simply by calling the user defined GP prior on the inducing point data directly.
out = self.model.forward(self.inducing_points)
res = MultivariateNormal(
out.mean, out.lazy_covariance_matrix.add_jitter()
)
return res
def kl_divergence(self):
variational_dist_u = self.variational_distribution.variational_distribution
After Change
@property
@cached(name="prior_distribution_memo")
def prior_distribution(self):
zeros = torch.zeros_like(self.inducing_points[..., 0])
ones = torch.ones_like(zeros)
res = MultivariateNormal(zeros, DiagLazyTensor(ones))
return res
def forward(self, x):


STIGMATA (1999) Directed by Rupert Wainright Review ©1999 Scott J. Promish
If nothing else, STIGMATA stands as the first Frank Mancuso, Jr. production I've seen that wasn't just plain awful. His previous record includes the SPECIES films, BODY PARTS, COOL WORLD, and several FRIDAY THE 13TH sequels which I haven't seen but could probably make an educated guess at.
This film at least has an air of quality about it: good actors (well, Gabriel Byrne *was* also in COOL WORLD -- probably not something he's very proud of), polished direction, and nothing in the script that caused me to groan. Its flaws only become apparent when you try to make sense of the thing.
Hairdresser, clubrat and atheist Frankie Paige (Patricia Arquette) is relaxing in her bath when she is suddenly gripped by a violent attack. She is rushed to the hospital, gushing blood from wounds that go all the way through her wrists. After an later incident on a subway during which her back is lashed by an unseen force, the church becomes involved and sends a scientist-priest named Andrew Kiernan (Gabriel Byrne) to investigate the phenomena. The plot thickens when Father Kiernan discovers a conspiracy involving the Catholic church and an ancient, lost scripture.
Like most stories whose premise revolves around religious phenomena, STIGMATA falls apart under even the most casual examination. It's hard to discuss without spoiling the ending but I can say that what we finally learn is the cause of Frankie's experiences does not explain them at all. Why the wounds, why the visions, why the violent outbursts? Said ending is a disappointment, and the `revelation' is a bit of gospel that even someone with minimal knowledge of Christianity will find familiar, especially since it is recited more than once previously in the course of the film. The conspiracy theme was handled much better -- albeit without the supernatural element -- in THE NAME OF THE ROSE (1986).
The modern, techno soundtrack (composed by Smashing Pumpkin Billy Corgan and which also features songs by Massive Attack, David Bowie and Afro Celt Sound System) is an interesting contrast to a film in which one would expect to hear symphonics.
It's a shame that a film that comes off so nicely otherwise is brought down by careless storytelling. In the end, STIGMATA is mildly enjoyable; just take in the sights and sound and don't think about it.
[Review written 10/3/99]
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Attacking all the deserializers - During unmarshaling, objects will need to be created and populated which normally mean calling setters or deserialization constructors.
Arbitrary Code Execution Requirements: - 1. Attacker can control type to be instantiated upon deserialization
- 2. Methods are called on the reconstructed objects
- 3. Gadget space is big enough to find types we can chain to get RCE
We can use our setter gadgets to attack most formats
Examples
FsPickler (xml/binary) - A fast, multi-format messaging serializer for .NET
- Includes arbitrary Type discriminators
- Invokes setters and ISerializable constructor and callbacks
- Object Graph Inspection
SharpSerializer - XML and binary serialization for .NET and Silverlight
- Includes arbitrary Type discriminators
- Invokes setters
- No type control other than post-deserialization cast
Wire/Hyperion - A high performance polymorphic serializer for the .NET framework used by Akka.NET
- JSON.NET with TypeNameHandling = All or custom binary one
- Includes Type discriminators and invokes setters and ISerializable constructor and callbacks
Overcoming XmlSerializer constraints
Types with interface members cannot be serialized - System.Windows.Data.ObjectDataProvider is XmlSerializer friendly
- System.Diagnostic.Process has Interface members L … use any other Type!
- XamlReader.Load(String) -> RCE • ObjectStateFormatter.Deserialize(String) -> RCE
- DotNetNuke.Common.Utilities.FileSystemUtils.PullFile(String) -> WebShell
- DotNetNuke.Common.Utilities.FileSystemUtils.WriteFile(String) -> Read files
Runtime Types needs to be known at serializer construction time - ObjectDataProvider contains an Object member (unknown runtime Type)
- Use a parametrized Type to “teach” XmlSerializer about runtime types. Eg:
- System.Data.Services.Internal.ExpandedWrapper`2
- [ [PUT_RUNTIME_TYPE_1_HERE],[PUT_RUNTIME_TYPE_2_HERE]
- ], System.Data.Services, Version=<IP_ADDRESS>, Culture=neutral, PublicKeyToken=b77a5c561934e089


- System Info
- Broadband
- LAN
- Firewall
- Logs
- Diagnostics
Application Statistics
| Type | Hostname/IP/MACAddress | Upstream Kbps |
Downstream Kbps |
Action |
|---|---|---|---|---|
| unknown | 5268ac <IP_ADDRESS> 38:3b:c8:38:1e:1f |
0.00 | 0.00 | App Details |
| Desktop/Laptop | eevee <IP_ADDRESS> e8:b1:fc:f6:96:ff |
0.04 | 0.33 | App Details |
| Desktop/Laptop | OnePlus5 <IP_ADDRESS> 94:65:2d:81:5d:3e |
0.18 | 12.12 | App Details |
| Application | Category | Upstream Kbps |
Downstream Kbps |
|---|


{% extends "base.html" %} {% block title %}
Medieval catalogues > UNIVERSITY AND COLLEGE LIBRARIES OF OXFORD > Merton College > List of books given by John Gygour, 14 July 1486
{% endif %}19 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Exercise Tracker
by
em-ant
- 2018
POST
/api/exercise/new-user
username*
Submit
POST
/api/exercise/add
userId*
description*
duration*
date
Submit
GET
/api/exercise/log
userId*
limit
from
to
Submit


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7
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10
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T.T
The
New
York
copyright
reserved
botanical
Garden
2*1
wf
fk-tu.
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oiTLce^-e.
r
HERBARIUM
No._
Agricultural
Experiment
Station
University
of
Puerto
Rico
dt'efaweurel
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Cron
.
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by
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B.
└└?I'lf'iCt.H
Locality
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00680683
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


{% load static %}
Django was created in the fall of 2003, when the web programmers at the Lawrence Journal-World newspaper, Adrian Holovaty and Simon Willison, began using Python to build applications. Jacob Kaplan-Moss was hired early in Django's development shortly before Simon Willison's internship ended. It was released publicly under a BSD license in July 2005. The framework was named after guitarist Django Reinhardt.[16] Adrian Holovaty is a Romani jazz guitar player and a big fan of Django Reinhardt. In June 2008, it was announced that a newly formed Django Software Foundation (DSF) would maintain Django in the future.
Despite having its own nomenclature, such as naming the callable objects generating the HTTP responses "views",[7] the core Django framework can be seen as an MVC architecture. It consists of an object-relational mapper (ORM) that mediates between data models (defined as Python classes) and a relational database ("Model"), a system for processing HTTP requests with a web templating system ("View"), and a regular-expression-based URL dispatcher ("Controller"). Also included in the core framework are: a lightweight and standalone web server for development and testing a form serialization and validation system that can translate between HTML forms and values suitable for storage in the database a template system that utilizes the concept of inheritance borrowed from object-oriented programming a caching framework that can use any of several cache methods support for middleware classes that can intervene at various stages of request processing and carry out custom functions an internal dispatcher system that allows components of an application to communicate events to each other via pre-defined signals an internationalization system, including translations of Django's own components into a variety of languages a serialization system that can produce and read XML and/or JSON representations of Django model instances a system for extending the capabilities of the template engine an interface to Python's built-in unit test framework Bundled applications The main Django distribution also bundles a number of applications in its "contrib" package, including: an extensible authentication system the dynamic administrative interface tools for generating RSS and Atom syndication feeds a "Sites" framework that allows one Django installation to run multiple websites, each with their own content and applications tools for generating Google Sitemaps built-in mitigation for cross-site request forgery, cross-site scripting, SQL injection, password cracking and other typical web attacks, most of them turned on by default a framework for creating GIS applications


Attendance
Back
Help
Check In/Out
netID:
Late Check-In
Early Check-Out
Submit
View Tardies
Re-Sort Tardy List
Clear Tardy List
Sort Style
time
last name
first name
Field App
|
Full Site
Template © 2013
Iowa State University


The classical notion of the coalescence of two droplets of the same radius R is that surface tension drives an initially singular flow. In this project we show, using molecular dynamics simulations of coalescing water nanodroplets, that after single or multiple bridges form due to the presence of thermal capillary waves, the bridge growth commences in a thermal regime. Here, the bridges expand linearly in time much faster than the viscous-capillary speed due to collective molecular jumps near the bridge fronts. Transition to the classical hydrodynamic regime only occurs once the bridge radius exceeds a thermal length scale.
This work was performed by Sreehari and produced the following papers: 1 and 2.


This file controls the music to be played during cutscenes.
CUTMUSE.TXT accepts // comments.
File Format
| SEQUENCE: 1 |
| // cue 1 |
| CUE: star-thm |
| 0 0 0 0 |
| // cue 2 |
| CUE: star-thm |
| B 2 B 2 |
| ... |
| SEQUENCE: 2 |
| // cue 1 |
| CUE: execmus |
| 0 0 0 0 |
| ... |
Note: there is no header.
As you can see, the file is split into a number of Sequences which correspond to the "SEQ number" in CUTSCENE.LST. Sequences are nothing more than logical groupings of cutscenes that are played together, for example the starting sequence, the long sequence before TALAY, the ending sequence. The whole point of a sequence is that in CUTSCENE.LST, only the first cutscene in each sequence of cutscenes needs to point to the corresponding music sequence in CUTMUSE.TXT -- the rest can have "SEQ number" set to 0 as the same music sequence selected at the first cutscene will apply throughout the remainder of the cutscene sequence.
Sequences each have a number of Cues which are fired by the CUST objects in FILMs of cutscenes. Cues define a .GMD file (note - without the extension) to play the music from, what chunk within it to play, and how and when to play the chunk.
Note: the numbering of CUEs in CUTMUSE.TXT are just comments -- they are not actually defined with numbers.
[Thanks to Alex Novikov for lots of help in figuring out the following]
Cues point to the chunk to be played like this:
%c %d %c %d
The two characters refer to MTrk chunks within the GMD. Capital letters are used, i.e. A, B, C, D, E..... where A is the first track, B is the second...... The numbers seem to refer to a point in the track -- larger numbers will start the track from further on. They maybe refer to a number of patterns or an interval of time (seconds or beats?), from the start of the track.
Now, the overall meaning seems to be something like this: the first character and number refer to a certain point in the music, which when reached, will change the music to a point defined by the second character and number. So "C 7 D 2" possibly means: when the music reaches track C time/pattern 7, then change to track D time/pattern 2. All this will happen when a FILM CUST object fires the Cue.
There are also a few exceptions:
"0 0 0 0" seems to be the equivilant of "give no command", so the music will just play on through unless it gets into a melody loop.
"1 0 0 0" usually means start the next track, but it has varying effects in different cutscenes, and sometimes will bring the music out of a loop, but sometimes won't.
". 0 0 0" will fade the music away.
A lot of this seems to be dependant on the internal iMUSE commands within GMD tracks, whose workings are unfortunately still very much unknown.


Library of Sages Director Sophia:
Embryo? Hm.. I've heard of it, but I know little about it. Can I ask why you're looking for it?
"I'm looking for a book about Embryo."


Grid
Element queries vs Media Queries. Drag the slider to see the effect
100%
mdlext-grid, using element queries
4 (2 tablet, 1 phone)
6 (4 tablet, 3 phone)
2 (2 tablet, hide phone)
mdl-grid, using media queries
4 (2 tablet, 1 phone)
6 (4 tablet, 3 phone)
2 (2 tablet, hide phone)


I am IRADUKUNDA Clarisse; A full stack developer; I use html;css and react in front end development and i use php;Java Script and Node js in back end development. in secondary school i studied computer science option at Ecole Secondaire Del'Assomption where i got skills about how to design an interface by using html and CSS; Now I am a student in University of Rwanda in IT Department. Additionaly I am A graduate in she can code school cohort3.
Node jsand
python.
to swimand
Picnic
| Name | Telephone | |
|---|---|---|
| IRADUKUNDA Clarisse | 555 77 854 | 555 77 855 |
Click on the image to enlarge it.


#include <statistician.hh>
Public Member Functions | |
| statistician (string name, time_t startTime, string outDir, int outputInterval) | |
| void | init () |
| void | accumulate (unsigned long numNon, unsigned long numFail, unsigned long numFalse, unsigned long numHit, time_t truthTime) |
| ~statistician () | |
Protected Member Functions | |
| double | _noNan (double val) |
Protected Attributes | |
| double | _totalNumNon |
| double | _totalNumFail |
| double | _totalNumFalse |
| double | _totalNumHit |
| double | _subtotalNumNon |
| double | _subtotalNumFail |
| double | _subtotalNumFalse |
| double | _subtotalNumHit |
| unsigned long | _num |
| unsigned long | _subnum |
| FILE * | _sfp |
| FILE * | _fsfp |
| time_t | _lastOutputTime |
| time_t | _outputInterval |
| string | _name |
| string | _outDir |
| time_t | _startTime |
| statistician::statistician | ( | string | name, | |
| time_t | startTime, | |||
| string | outDir, | |||
| int | outputInterval | |||
| ) |
The constructor. Sets up for the long road ahead.
| name | The name of this statistician. Used in output file names and directory names. | |
| startTime | Time to start output data interval bins. | |
| outDir | Output directory - we append the name to this as a subdir. | |
| outputInterval | The output interval, seconds. |
| statistician::~statistician | ( | ) |
| void statistician::accumulate | ( | unsigned long | numNon, | |
| unsigned long | numFail, | |||
| unsigned long | numFalse, | |||
| unsigned long | numHit, | |||
| time_t | truthTime | |||
| ) |
Accumulate the results of another truth/forecast pair.
| numNon | The number of non events. | |
| numFail | The number of failures (or misses). | |
| numFalse | The number of false alarms. | |
| numHit | The number of hits. | |
| truthTime | The truth time for this data pair. |
| void statistician::init | ( | ) |