| 8:45am |
Registrations open |
| 9:10am |
You should be seated by now! |
| 9:15am |
Brief introduction and welcome talk |
| 9:30am |
Philippa Dawe — Because you’re worth it: The value of design |
| 10am |
Luke Johnston — Design should be invisible |
| 10:15am |
Ryan Baker — Unsexy software and why UX matters |
| 10:30am |
Alan Bauchop — Neuromarketing |
| 10:45am |
Break |
| 11am |
Ruth Brown — How mobile is turning UX on its head |
| 11:30am |
Aidan Fraser — A practical introduction to responsive CSS |
| 11:45am |
Jason Leong — A look into automotive dashboard design |
| 12pm |
Tom Bond — UX evolution in a small startup |
| 12:15pm |
Catered lunch |
| 1:15pm |
Graham Dockrill — UX: from fad to business fundamental |
| 1:45pm |
Alex Gilks — Scribble time: scratching out some clarity with sketching and other drawing-ish things |
| 2pm |
Dave Strydom — The silent type: Productive use of web typography |
| 2:15pm |
Bram Pitoyo — But it’s so cluttered! |
| 2:45pm |
Break |


sfinder − raw data timestamp search utility
sfinder [-h] [-q] [-E epoch ] [-s start_date ] [-e end_date ] [-l] [-p path ]
sfinder searches for timestamps in files using only the binary data. This program is written in Python and had raw cell phone forensic images in mind. Any file containing raw data can be scanned for timestamps but sfinder is more accurate if given specific search parameters. This program will take time because it of the conversion from binary data to timestamps. It also searches for every possibility which means it has to test every byte in the file. Hashing is also performed to ensure data integrity.
|
-h |
Show the help message and exit. | ||
|
-q |
Quit Mode. Run sfinder without hashing files to speed up processing. |
-E epoch
Set the epoch origin date for the filesystem the image or file was created. Formatting: ’YYYY,MM,DD’
-s start_date
The date you want the search to start at. All timestamps before this date will be disregarded. Can be set down to seconds but requires at least the YYYY, MM, and DD to be set. Formatting: ’YYYY,MM,DD,HH,mm,ss’
-e end_date
The date you want the search to stop at. All timestamps after this date will be disregarded. Can be set down to seconds but requires at least the YYYY, MM, and DD to be set. Formatting: ’YYYY,MM,DD,HH,mm,ss’
|
-l |
Search for timestimps in ’Little Endian’ format (cd ab) instead of the normal ’Big Endian’ format (ab cd). |
-p path
The path to the file or directory you want sfinder to scan. If it is a directory, all files in the directory will be processed.
~/sfinder_OUT/
The directory containing the output of hashes and timestamp data.
~/sfinder.log
Log file of errors and program run information.
/opt/sfinder/
Directory where the source code is located at.
The following are the defaults set when running sfinder
|
-E |
Default epoch is ’1970,1,1’ | ||
|
-s |
Default start_date is one(1) year ago from today. | ||
|
-e |
Default end_date is today’s date. | ||
|
-l |
Default is False and will run as ’Big Endian’. | ||
|
-p |
Default is the currenty directory sfinder is being run in. |
Jared Everett <jarsever at gmail dot com>


Please provide your starting point (e.g. Federation Square, Melbourne, Australia), your destination (e.g. 511 Chucrh St, Melbourne Australia), and the Lazy Cyclist will help you select the least painful route!


Create Watch Party
We're gonna watch the:
At...
And our group is called...
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Create My Watch Party!


PAM BARRERA
Pam is an incoming sophomore from Venezuela. She is currently majoring in Film & New Media, while also taking classes in both Economics and Interactive Media to gain additional skills and expertise. She plays the role of "Pam", Katie's lover, in the short film.
The Venezuelan view on the LGBTQ+ community is not as open as it is in Europe or in the United States. Both male and female same-sex sexual activity is legal in Venezuela, but same-sex couples and households headed by same-sex couples are not eligible for the same legal protections available to opposite-sex married couples. Because Venezuela is predominantly Catholic, this made it difficult to cater to both religious and accepting perspectives.
POP QUIZ! What is the flag of Venezuela?


|
Xenomai
3.0.4
|
Cobalt scheduling management services. More...
Functions | |
| int | pthread_setschedparam (pthread_t thread, int policy, const struct sched_param *param) |
| Set the scheduling policy and parameters of the specified thread. More... | |
| int | pthread_setschedparam_ex (pthread_t thread, int policy, const struct sched_param_ex *param_ex) |
| Set extended scheduling policy of thread. More... | |
| int | pthread_getschedparam (pthread_t thread, int *__restrict__ policy, struct sched_param *__restrict__ param) |
| Get the scheduling policy and parameters of the specified thread. More... | |
| int | pthread_getschedparam_ex (pthread_t thread, int *__restrict__ policy_r, struct sched_param_ex *__restrict__ param_ex) |
| Get extended scheduling policy of thread. More... | |
| int | pthread_yield (void) |
| Yield the processor. More... | |
Cobalt scheduling management services.
| int pthread_getschedparam | ( | pthread_t | thread, |
| int *__restrict__ | policy, | ||
| struct sched_param *__restrict__ | param | ||
| ) |
Get the scheduling policy and parameters of the specified thread.
This service returns, at the addresses policy and par, the current scheduling policy and scheduling parameters (i.e. priority) of the Cobalt thread tid. If thread is not the identifier of a Cobalt thread, this service fallback to the regular POSIX pthread_getschedparam() service.
| thread | target thread; |
| policy | address where the scheduling policy of tid is stored on success; |
| param | address where the scheduling parameters of tid is stored on success. |
References pthread_getschedparam_ex().
Referenced by pthread_getschedparam_ex().
| int pthread_getschedparam_ex | ( | pthread_t | thread, |
| int *__restrict__ | policy_r, | ||
| struct sched_param_ex *__restrict__ | param_ex | ||
| ) |
Get extended scheduling policy of thread.
This service is an extended version of the regular pthread_getschedparam() service, which also supports Cobalt-specific policies, not available with the host Linux environment.
| thread | target thread; |
| policy_r | address where the scheduling policy of thread is stored on success; |
| param_ex | address where the scheduling parameters of thread are stored on success. |
References pthread_getschedparam().
Referenced by pthread_getschedparam().
| int pthread_setschedparam | ( | pthread_t | thread, |
| int | policy, | ||
| const struct sched_param * | param | ||
| ) |
Set the scheduling policy and parameters of the specified thread.
This service set the scheduling policy of the Cobalt thread identified by pid to the value policy, and its scheduling parameters (i.e. its priority) to the value pointed to by param.
If pthread_self() is passed, this service turns the current thread into a Cobalt thread. If thread is not the identifier of a Cobalt thread, this service falls back to the regular pthread_setschedparam() service.
| thread | target Cobalt thread; |
| policy | scheduling policy, one of SCHED_FIFO, SCHED_RR, or SCHED_OTHER; |
| param | address of scheduling parameters. |
See pthread_create(), pthread_setschedparam_ex().
References pthread_setschedparam_ex().
Referenced by pthread_join().
| int pthread_setschedparam_ex | ( | pthread_t | thread, |
| int | policy, | ||
| const struct sched_param_ex * | param_ex | ||
| ) |
Set extended scheduling policy of thread.
This service is an extended version of the regular pthread_setschedparam() service, which supports Cobalt-specific scheduling policies, not available with the host Linux environment.
This service set the scheduling policy of the Cobalt thread thread to the value policy, and its scheduling parameters (e.g. its priority) to the value pointed to by param_ex.
If thread does not match the identifier of a Cobalt thread, this action falls back to the regular pthread_setschedparam() service.
| thread | target Cobalt thread; |
| policy | scheduling policy, one of SCHED_WEAK, SCHED_FIFO, SCHED_COBALT, SCHED_RR, SCHED_SPORADIC, SCHED_TP, SCHED_QUOTA or SCHED_NORMAL; |
| param_ex | scheduling parameters address. As a special exception, a negative sched_priority value is interpreted as if SCHED_WEAK was given in policy, using the absolute value of this parameter as the weak priority level. |
When CONFIG_XENO_OPT_SCHED_WEAK is enabled, SCHED_WEAK exhibits priority levels in the [0..99] range (inclusive). Otherwise, sched_priority must be zero for the SCHED_WEAK policy.
See pthread_create(), pthread_setschedparam().
Referenced by pthread_setschedparam().
| int pthread_yield | ( | void | ) |
Yield the processor.
This function move the current thread at the end of its priority group.
| 0 |
References sched_yield().


Event Location:
Cherry Creek Presbyterian Church
10150 E. Belleview Avenue
Englewood, Colorado
Abstract:
SQL Server allows you to construct an analytic organization by creating a bona fide Business Intelligence foundation, giving you more insight into the status of the business, powerful ad-hoc reporting capabilities, dynamic analytical capabilities, and forecasts that make your psychic jealous. It's an understatement to say this requires really good data and terrific data structures. In this session, Carlos Bossy will discuss how to use SSIS to implement integration, metadata and transformations, SSAS for ad-hoc and predictive analytics, and SSRS to provide users the ability to develop their own reports. You will leave this session with a firm grasp to building a robust data architecture that achieves successful Business Intelligence.
Speaker(s): Carlos Bossy,
Abstract:
Data is not a by-product of a new wiz-bang application. Databases are not just a container for the shiny new website. Databases do not exist simply to be managed. Data is the reason for creating the applications and the IT infrastructure to support it. According to TDWI poor data quality costs businesses in excess of $6 billion per year. The cost of good data existing in multiple systems and business processes to work around or with poor or multiple copies of the same data is likely much higher. This session will address the data in your environment instead of the container that it lives in. We will look at Master Data Services in SQL Server 2008 R2 and how it can help your organization rethink and help define your data strategy.
Speaker(s): Jeremy Lowell,
Abstract:
Often, as DBAs, we are presented with the prospect of resolving performance issues. Consider when Bob the Developer shows up accusing the server of inadequacies and expecting resolution. After hours digging through log files and traces and you are able to identify code that Bob deployed that was the root of the problem. What if there was a way to do this type of performance tuning before Bob the Developer shows up and before Sue the User figures out there are performance issues? In this session we’ll take a look at Extended Events and how you can leverage it in every day scenarios. We’ll discuss the ins and outs of how to get detailed information on the errors and events that occur within SQL Server and how to understand the information.
Speaker(s): Jason Strate,
Abstract:
This presentation will provide a brief overview of how to get started with powershell and will be demo intensive. Demo topics will include common challenges that database professional's face including: basic code generation, deployment automation, and database discovery. We will also attempt to touch on automation and general script development best practices.
Speaker(s): Jason Horner,
Abstract:
Policy Based Management, what is this? What can it do for me? Do I really need it? How do I install and configure it? How can it help me to pass audits? You mean each server can really be configured the same. Let's explore Policy Based Management and what it has to offer us in better management of our Sql Servers.
Speaker(s): Thomas Norman,
Abstract:
Service Broker can be used to simplify messaging between applications and assist in asynchronous programming by queuing messages and/or events. This presentation will explain how to use the Service Broker services, discuss its many components and show why you’ll benefit from using it. Several case studies will illustrate an elegant way to maintain data across multiple servers and show how to reduce dependencies between related programs and/or data structures.
Speaker(s): Janis Griffin,
Abstract:
I need to get this database in compliance. What do I do? We will take a look at several different features of Sql Server 2008 which will help you get the database to be able to pass audits. We will take a look at Transparent Data Encryption, Security, Auditing and Policy Based Management. Let's pass this audit.
Speaker(s): Thomas Norman,
Abstract:
You’re a good SQL professional – you attend conferences and webinars, you read articles and books, you know your way around SQL Server. But sometimes – just SOMEtimes – some piece of T-SQL slips by you unnoticed, or falls out of memory. Come and revisit old favorites, and brush up on new T-SQL features and enhancements like MERGE, OVER, and PARTITION BY. This session is chock full of code examples, including before-and-after demos and how-to illustrations.
Speaker(s): Jennifer McCown,
Abstract:
It's nice when, as database developers, we have a clean slate to work with. Most of the time, however, we inherit and must support existing designs and implementations. To add to the challenge, more often than not documentation of the database doesn't exist or is out-of-date with respect to the production system. In this session, we'll look at some tools, techniques, and scripts that will accelerate your understanding of that beast you're now in charge of supporting and extending.
Speaker(s): Troy Ketsdever,
Abstract:
SQL Azure is Microsoft's solution for hosting basic SQL Server relational databases in the cloud. Microsoft continues to add new features in each Azure Service Update that makes SQL Azure a more viable solution. For smaller databases that don't require features such as Reporting Services, Analysis Services, or Full Text Search, it can be an easy to use technology that can save lots of money in hardware, license and maintenance costs. This session shows you how to configure, connect to, and manage a SQL Azure database, both from SQL Server Management Studio and from a .NET application, and it gives best practices and tips on how to get the most benefit from SQL Azure.
Speaker(s): Glenn Berry,
Abstract:
Management Data Warehouse (MDW) which was introduced in 2008 can provide DBAs with useful performance information about Disk Usage, Server Activity and Query Statistics. This presentation will explore how to set up MDW, look at its underlying schema / statistics and point out some of its shortcomings in comparison with other performance tools.
Speaker(s): Janis Griffin,
Abstract:
Microsoft has a number of certifications for SQL Server. They cover the DBA, developer and business intelligence skills. But, does anyone take them seriously? In this session, see the tracks for SQL Server certifications and discover what you need to know about the exams. Which track will be right for you? What steps should you take? How do you get going? And what value will they bring to your career?
Speaker(s): Jason Strate,
Abstract:
SQL Server 2008 saw the introduction of the new MERGE DML statement. In this session, we'll take a look at the basic syntax and capabilities of the command. Once we have reviewed some simple examples, we'll dive into some of the more advanced uses (abuses?) of the command, reinforcing our understanding by looking at more complex examples.
Speaker(s): Troy Ketsdever,
Abstract:
Learn the best of what NOT to do when writing Transact-SQL. Comment, format, and streamline your way to a happy and virtuous coding life!
Speaker(s): Jennifer McCown,
Abstract:
In this session we will concentrate largely upon crafting simple MDX expressions and queries whose purposes, for the most part, are to return a set of data. We will overview the structure of a cube, using as a basis the sample Adventure Works cube that is available to anyone installing SQL Server Analysis Services 2008 R2. We will then outline the components of simple MDX syntax, and get started writing basic expressions and queries. We will expose basic member functions, introduce filters (or “slicers”), and begin exploring core MDX functionality, including calculated members, and named sets.
Speaker(s): William E Pearson III,
Abstract:
SQL Server Integration Services is an excellent tool for quickly building ETL packages - so much so that many database professionals find themselves managing dozens, or even hundreds, of individual SSIS packages. In this session we will explore a practical approach to building an ETL framework to make the task of managing a large number of packages easier. We'll demonstrate how to use expressions and configurations for object reuse, along with ways to share values and objects among multiple packages.
Speaker(s): Tim Mitchell,
Abstract:
This session will present a Database and ETL Architecture that allows you to smoothly move data from your application databases across the enterprise in real-time to your data warehouse. Use SQL Server features such as Replication, Change Data Capture, and SSIS to extract, transform and load data fast and dependably and view a real demonstration of the system in action.
Speaker(s): Carlos Bossy,
Abstract:
Who said Integration Services was just for developers and BI folk? In this session, we'll cover a few basics in SSIS that can allow DBAs to leverage the beauty of this tool for everyday tasks. We will discuss how we can create a repository of server information, iterate over a list of servers, and deploy packages such that they can run in an automated fashion.
Speaker(s): Brandon Tucker,
Abstract:
The SQL Server BIDS (Business Intelligence Development Studio) is a great tool for graphically designing SSIS packages, but there are times when having the flexibility of just working in code is preferable to the GUI interface. In this session, we'll explore the SSIS API and discuss how it can be used to create and manipulate SSIS packages in .NET code. We'll have a number of practical examples throughout the discussion.
Speaker(s): Tim Mitchell,
Abstract:
When do you need your data encrypted? After providing a brief history and intro to encryption and cryptography, we will look at several ways to secure your SQL Server data and systems. Topics include: column level encryption, transparent data encryption (TDE), third party tools, and enterprise key management (EKM) using hardware security modules (HSM)s.
Speaker(s): Todd Kleinhans,
Abstract:
Many of us started our IT careers in the exact same way: 80-hour work weeks, routine overnight gigs, no life outside the office—this was simply what we considered “normal.” Today, with our careers underway, how do we build a life outside of our IT world? I will share the tips, tricks and tools I’ve discovered and used to create a work/life balance that allows us to feel fulfilled and refreshed outside the office while maintaining our effectiveness as successful data professionals.
Speaker(s): Meredith Ryan-Smith,
Abstract:
Most organizations in a SQL Server environment know about Report Services and are aware of its basic functionality. In this session, we will discuss authoring and deploying reports as well as managing and securing your Reporting Services 2008 environment. Attend this session to see how to get your reporting environment up and running efficiently and securely, and take a look at the added functionality and features in SSRS 2008.
Speaker(s): Rob Schafer,
Abstract:
This session will focus on using real world data ( no Adventureworks) taken through the life cycle of a data mining application. Topics will include the methodology an introduction to details of DMX, managing output and validating discoveries
Speaker(s): Drew Minkin,
Abstract:
This session will give a brief overview of the different types of triggers available in SQL Server (DDL DML) and then go into more detail on how and when to use DML triggers. This session will cover misconceptions about how triggers work, when triggers shoul d and shouldn't be used (we will discuss options), common mistakes, and how to fix the most common mistakes. After attending this session a person will: 1. Identify different types of triggers and when to use them. 2. Be able to identify when a trigger is the right solution 3. Be able to write triggers that perform well
Speaker(s): Jack Corbett,
Abstract:
Steve Jones, founder of SQL Server Central talks about how to update your resume to fit into today's modern world, and take advantage of the tools offered by blogging, social networking, and more.
Speaker(s): Steve Jones,
Abstract:
Data is becoming more and more critical with the needs of business every day. Technology has enabled businesses to have a global reach much easier than ever before. With the growing needs to increase revenue every avenue will be explored. The outcome of this growth is the need for your database to be online with no downtime if any at all. This session is designed to visit the issues of managing a database that is online around the clock and maintenance time is scarce. We will talk about the challenges you could face each and every day, the maintenance issues such as when, where and how to trim it.
Speaker(s): Chris Shaw,
Abstract:
SQL Server 2005 introduced Dynamic Management Views (DMVs) that allow you to see exactly what is happening inside your SQL Server instances and databases with much more detail than ever before. SQL Server 2008 R2 adds even more capability in this area. You can discover your top wait types, most CPU intensive stored procedures, find missing indexes, and identify unused indexes, to name just a few examples. This session (which is applicable to both 2005, 2008 and 2008 R2), presents and explains over thirty DMV queries that you can quickly and easily use to detect and diagnose performance issues in your environment.
Speaker(s): Glenn Berry,
Abstract:
Whether you are a developer or DBA, this presentation will outline a method for determining the best approach for tuning a query every time by utilizing response time analysis and SQL Diagramming techniques. Regardless of the complexity of the statement or database platform being utilized (this method works on all), this quick and systematic approach will lead you down the correct tuning path with no guessing.
Speaker(s): Dean Richards,
Abstract:
This is a beginner and intermedidate session for designing for performance. The talk covers logical and physical design, hardware considerations and a variety of topics for getting the best performance out of your database.
Speaker(s): Kevin Cox,
Abstract:
By now you have probably already heard about Analysis Services. Maybe you've even said to yourself that you were going to learn more about it but just haven't found the time. The biggest barrier to learning something new is figuring out the first few steps. But where do you begin? Come learn those first few steps by attending this presentation. We will discuss what Analysis Services is, where it shines and more importantly, how to get started.
Speaker(s): Marc Beacom,
Abstract:
With the proliferation of ORM tools like Entity Framework, nHibernate, and Linq to SQL, many projects have decided that stored procedures are not needed and slow down development. While these tools have their place and have improved greatly, stored procedures still have their place, and, in this speaker's opinion, are the best way to do data access. In this session I'll discuss my reasons for using stored procedures and hopefully stimulate some discussion of other access methods.
Speaker(s): Jack Corbett,
Abstract:
In the new world of IT, where the "T" (technology) is a commodity, SQL People have to invest themselves in the "I" (information) in order to be considered truly valuable. The new skills for the upcoming decade: financial literacy; management and interpersonal skills; negotiation skills; process management skills; market understanding; technical chops. OK -- so you've got the last one covered; how about the others?
Speaker(s): Michelle Poolet,
Abstract:
SQL Server 2008 R2 Reporting Services included a new feature that allows you to create a library of report parts that can be shared and used to create and update reports. In this session you will see demos of how to create these report parts, how to access the report parts library and how to include them in other reports.
Speaker(s): Steve Wake,
Abstract:
This session covers the features in SQL 2008 R2, including PowerPivot, StreamInsight, Parallel Data Warehouse and more.
Speaker(s): Kevin Cox,
Abstract:
Covering the What, Why, Who, Where, When How of partitioning data and databases, this lively, audience-interaction-based discussion of partitioning is sure to keep you on your toes and asking questions. From distributed database systems to schemes used to partition data tables, for both transactional databases and data warehouses, Ms. Poolet will lead the audience through the thought processes and steps needed to get a handle on your largest data stores.
Speaker(s): Michelle Poolet,
Abstract:
In this session, we will explore the tracing architecture present in SQL 2005/8 and how it is leveraged by the GUI tool Microsoft provides, SQL Profiler. An initial knowledge base will be established on traces, what they are, how to define them, and how they affect a system. From here, we will apply them to real-world scenarios and be able to immediately see their importance in everyday operations of both DBAs and developers.
Speaker(s): Brandon Tucker,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Contact: http://blog.wakebi.com
Steve Wake is a Senior Web Developer at Visa Inc. he is a Microsoft Certified Professional. He started his career as a MVS and AS/400 COBOL programmer working on billing and reporting systems. In 2001 he decided to learn C# and .NET and discovered SQL Server Reporting Services when it was first in beta. Since then he has presented at many local user groups on SSRS and has started to learn and use SSAS and SSIS to get the Microsoft BI certification later this year.
Kevin Cox has been working with databases for over 35 years and with SQL Server for more than 25 years. He is an author, lecturer, and mentor in database subjects. Kevin is currently with the Microsoft Azure Engineering product group in the Customer Advisory Team and feels fortunate to be able to work on the largest projects around the world.
LinkedIn: https://www.linkedin.com/in/timmitchell/
Contact: http://www.TimMitchell.net
Tim Mitchell is a business intelligence architect, author, and trainer. He has worked with SQL Server for over a decade, specializing in data warehousing, ETL/SSIS, and reporting. He holds a Bachelor’s Degree in Computer Science from Texas AM at Commerce, and is recognized as a Microsoft Data Platform MVP. Tim is a business intelligence consultant and principal at Tyleris Data Solutions. Tim is an active community speaker and volunteer, having spoken at over 100 events including the PASS Summit, SQLBits, Dev Connections, SQL Intersection, and scores of SQLSaturdays. He blogs at TimMitchell.net, and tweets at @Tim_Mitchell.
LinkedIn: http://www.linkedin.com/pub/janis-griffin/0/914/aba
Janis Griffin has over 30 years of DBA/database experience including design, development and implementation of many critical database applications. Before coming to Quest Software, Janis primarily worked in the Telecom/Network Industry, working with both real-time network routing databases and OLTP business to business applications. Janis also held positions as a Principal Architect and Senior Manager, mentoring other DBAs on best practices in database performance tuning.
Kevin Cox has been working with databases for over 35 years and with SQL Server for more than 25 years. He is an author, lecturer, and mentor in database subjects. Kevin is currently with the Microsoft Azure Engineering product group in the Customer Advisory Team and feels fortunate to be able to work on the largest projects around the world.
LinkedIn: https://www.linkedin.com/in/timmitchell/
Contact: http://www.TimMitchell.net
Tim Mitchell is a business intelligence architect, author, and trainer. He has worked with SQL Server for over a decade, specializing in data warehousing, ETL/SSIS, and reporting. He holds a Bachelor’s Degree in Computer Science from Texas AM at Commerce, and is recognized as a Microsoft Data Platform MVP. Tim is a business intelligence consultant and principal at Tyleris Data Solutions. Tim is an active community speaker and volunteer, having spoken at over 100 events including the PASS Summit, SQLBits, Dev Connections, SQL Intersection, and scores of SQLSaturdays. He blogs at TimMitchell.net, and tweets at @Tim_Mitchell.
LinkedIn: http://www.linkedin.com/in/jasonstrate/
Contact: http://www.jasonstrate.com/
Jason Strate is a SQL Server Solutions Architect with Pragmatic Works. He is also a Microsoft SQL Server MVP and MCM. He has over 15 years of experience developing, architecting, and managing data platforms. Jason writes, blogs, and presents on SQL Server.
LinkedIn: http://www.linkedin.com/in/jackcorbett
Contact: http://www.wisemanorwiseguy.com
JJack Corbett began working with SQL Server, Access, and VB in 1999, when he served an apprenticeship with a good friend who was the software development manager at the local paper mill. He found his niche and has concentrated on SQL Server development and administration since late 2000. He has worked with SQL Server through version 2017 and was a Microsoft Data Plaform MVP from October 2011 to October 2016. Jack is passionate about helping companies architect, design, and develop high performance applications based on the Microsoft Data Platform. He also has a passion for seeing database developers get the core application code (the database) protected under source control. Jack has presented at many user groups and SQLSaturday even
LinkedIn: http://www.linkedin.com/pub/todd-kleinhans/0/920/981
Contact: https://toddkleinhans.wordpress.com/
Todd Kleinhans has been using SQL Server since the last millennium. He has served in different roles across many industries but he's mainly been a DBA. When not in virtual reality, he likes to speak at PASS sponsored events and volunteers in various groups like PASS, DSSUG, Colorado Virtual Reality and is the President of Denver/Boulder Unreal Engine group. He is on Twitter: @toddkleinhans and blogs at https://toddkleinhans.wordpress.com/
LinkedIn: http://www.linkedin.com/in/jennifermccown
Contact: http://www.MidnightDBA.com/Jen
Jen McCown is CEO of MinionWare, LLC; a Microsoft Certified Master for SQL Server; and an independent consultant. She is Senior Editor at MidnightDBA.com, where she creates training videos, the DBAs at Midnight webshow, blogs, reviews, and podcasts. Jen is a member, volunteer, and speaker in PASS, and the PASS Women in Technology Virtual Group.
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/profile/public-profile-settings?trk=prof-edit-edit-public_profile
Contact: https://glennsqlperformance.com/
Glenn works as a Principal Consultant for Dr. DMV, LLC in Elizabeth, CO. He was a Data Platform MVP from 2007-2017, and he has a whole collection of Microsoft certifications, including MCITP, MCDBA, MCSE, MCSD, MCAD, and MCTS, which proves that he likes to take tests. His expertise includes DMVs, high availability, hardware selection, performance tuning, and Azure SQL Database. He is also an Adjunct Faculty member at University College - University of Denver, where has been teaching since 2000. He has completed the Master Teacher Program at Denver University - University College. He is heavily involved in the SQL Server community, and is a frequent speaker at user groups, SQLSaturdays, and the PASS Community Summit.
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/christophershaw/
Contact: http://chrisshaw.wordpress.com/
Chris Shaw started his database career in 1993. Following the Marines, Chris continued working with databases for companies such as Wells Fargo, Pulte Mortgage, and Yellow Pages Inc. Chris has been writing and speaking about SQL Server for over 15 years at events such as SQL Connections, PASS Summit, and SSWUG Ultimate conferences. Chris received his 5th Microsoft MVP award.
LinkedIn: http://www.linkedin.com/pub/janis-griffin/0/914/aba
Janis Griffin has over 30 years of DBA/database experience including design, development and implementation of many critical database applications. Before coming to Quest Software, Janis primarily worked in the Telecom/Network Industry, working with both real-time network routing databases and OLTP business to business applications. Janis also held positions as a Principal Architect and Senior Manager, mentoring other DBAs on best practices in database performance tuning.
LinkedIn: http://www.linkedin.com/in/armordba
Contact: https://armordba.com/
Tom Norman is a Database Architect at KPA with a strong fervor to protect data. He works daily to review and improve data protection methodologies while reviewing governing laws affecting finance, healthcare, and personal data. His areas of expertise include encryption, auditing, data identification, and database object deployment. He is the current leader of the PASS Virtualization Group and Vice President of the TRIPASS user group. You can read his blog at https://armordba.com/ and reach him on twitter at @armordba. Tom speaks at a number of SQLSaturday events and SQL Server user groups.
Contact: http://www.datarealized.com
Jeremy has been engaged in SQL Server development, administration and architecture for over 13 years. He has worked with many successful corporations including MCI, Wells Fargo, Lucent and others. He has served as a participating member on a joint FSTC and OMG project (I2PADS), which focus on industry collaboration, initiatives and standards. He founded a consulting practice whose philosophy is to enable clients to focus on what they do best by allowing us to do what we do best.
LinkedIn: http://www.linkedin.com/in/jennifermccown
Contact: http://www.MidnightDBA.com/Jen
Jen McCown is CEO of MinionWare, LLC; a Microsoft Certified Master for SQL Server; and an independent consultant. She is Senior Editor at MidnightDBA.com, where she creates training videos, the DBAs at Midnight webshow, blogs, reviews, and podcasts. Jen is a member, volunteer, and speaker in PASS, and the PASS Women in Technology Virtual Group.
LinkedIn: http://www.linkedin.com/pub/dean-richards/6/167/a90
Dean Richards is a Senior DBA for DBMS Insights and has helped hundreds of companies solve database and virtualization performance issues. Dean has over 20 years of experience in both development and database administration and has focused his entire career on performance tuning of Oracle and SQL Server environments. Most recently Dean has focused on the trend to virtualize and move databases to the cloud.
LinkedIn: https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile
Contact: https://glennsqlperformance.com/
Glenn works as a Principal Consultant for Dr. DMV, LLC in Elizabeth, CO. He was a Data Platform MVP from 2007-2017, and he has a whole collection of Microsoft certifications, including MCITP, MCDBA, MCSE, MCSD, MCAD, and MCTS, which proves that he likes to take tests. His expertise includes DMVs, high availability, hardware selection, performance tuning, and Azure SQL Database. He is also an Adjunct Faculty member at University College - University of Denver, where has been teaching since 2000. He has completed the Master Teacher Program at Denver University - University College. He is heavily involved in the SQL Server community, and is a frequent speaker at user groups, SQLSaturdays, and the PASS Community Summit.
LinkedIn: http://www.linkedin.com/in/armordba
Contact: https://armordba.com/
Tom Norman is a Database Architect at KPA with a strong fervor to protect data. He works daily to review and improve data protection methodologies while reviewing governing laws affecting finance, healthcare, and personal data. His areas of expertise include encryption, auditing, data identification, and database object deployment. He is the current leader of the PASS Virtualization Group and Vice President of the TRIPASS user group. You can read his blog at https://armordba.com/ and reach him on twitter at @armordba. Tom speaks at a number of SQLSaturday events and SQL Server user groups.
Meredith is a DBA, wife and mother to the only 5-year-old on the block who can recite Codd’s Law. With more than 10 years of experience in IT, Meredith’s responsibilities have included everything from manning the Help Desk to VAX/VMS cluster administration. Most recently she has served as the production database administrator specializing in cluster administration and performance.
LinkedIn: http://www.linkedin.com/in/robschafer/
Rob Schafer is a Microsoft Certified BI and SQL developer with over 5 years of experience in the architecture, design and development of robust Business Intelligence and reporting solutions. He is a Senior Consultant for Neudesic's BI practice in the Mountain region. In addition, Rob holds his MS in Information Systems from the University of Denver where he focused on Database Design and Administration.
Contact: http://www.42and5.com
Troy Ketsdever is a data architect with over 15 years of commercial software development experience, and has maintained a love/hate relationship with SQL Server since version 4.2. In addition to his "day job", Troy enjoys writing articles and presenting at user groups on a variety of database design and implementation topics. His main objective and vision is “making the right information available to the right people at the right time”.
LinkedIn: http://www.linkedin.com/in/marcbeacom
Contact: http://www.DawaBI.com/blog.aspx
Marc Beacom is Principal Architect of DawaBI, a Data Warehouse and Business Intelligence Consultancy firm focusing on Making Data-Driven Decisions Possible. He has been working with SQL Server for over a decade delivering scalable solutions for organizations of all sizes. . Marc is an active member of the community and has served 5 years on the board of two Colorado SQL Server UGs, 1 year as a Regional Mentor for PASS. Currently he is on the boards of CO GiveCamp and Camp To Belong CO.
LinkedIn: http://www.linkedin/in/carlosbossy
Contact: http://www.carlosbossy.com
Carlos Bossy (MCTS, MCP BI, CBIP) is a data and cloud analytics architect with 25 years of experience in software and database development. As a principal of Datalere, Carlos focuses on developing BI, Data Science, and Advanced Analytics solutions, including modeling data warehouses and delivering predictive models, integration, and visualization. He has developed warehouses and BI solutions for a variety of industries and state agencies, including health insurance, solar energy, foster care, telecom, and manufacturing.
LinkedIn: https://www.linkedin.com/e/fpf/252170891
Contact: https://mvp.support.microsoft.com/profile=02C5CD07-7511-4151-A678-3A4A3451F85E
Bill Pearson created Island Technologies Inc. in 1997, and has developed a large and diverse customer base since. Bill#39;s background as a CPA, Internal Auditor, Management Accountant, and SQL Server MVP (BI) enables him to provide value to clients as a liaison between Accounting / Finance and Information Services. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies and focuses his practice upon the integrated Microsoft Business Intelligence
Contact: http://www.SaveOurSQL.com
Michelle Poolet, MCIS, University of Denver, Zachman Certified™ - Enterprise Architect, Neverfail NCIE, Microsoft MCP SQL Server, is a founder and President of Mount Vernon Data Systems, established 1990, a database consulting company that specializes in database systems, data modeling, courseware development, education, and training. She is also co-founder and COO of Six Sigma Uptime, founded in 2008, which specializes in data protection and business continuity for SQL assets.
Contact: http://dataminkin.blogspot.com
Drew Minkin has been a speaker at the MS Business Intelligence Community, North Texas SQL Server User's Group and SQLSaturday events across the country , for four years, He worked at Microsoft in SQL Support and in Premier Field Engineering for over six years. After leaving Microsoft, Drew has designed and supported cubes for dozens of Fortune 1000 companies. he has designed data mining models on pricing optimization, fraud detection, customer retention and marketing campaigns
LinkedIn: http://www.linkedin/in/carlosbossy
Contact: http://www.carlosbossy.com
Carlos Bossy (MCTS, MCP BI, CBIP) is a data and cloud analytics architect with 25 years of experience in software and database development. As a principal of Datalere, Carlos focuses on developing BI, Data Science, and Advanced Analytics solutions, including modeling data warehouses and delivering predictive models, integration, and visualization. He has developed warehouses and BI solutions for a variety of industries and state agencies, including health insurance, solar energy, foster care, telecom, and manufacturing.
Over the past five years, Brandon has explored SQL Server as a developer, administrator, and consultant. After graduating school, he has translated his academic knowledge base into real-world scenarios in the health insurance, education, and transportation industries. Brandon has presented at Code Camps/User Groups in UT, as well as here in Denver. He currently holds a MCITP in 2005 DB Development.
LinkedIn: http://www.linkedin.com/in/jasonstrate/
Contact: http://www.jasonstrate.com/
Jason Strate is a SQL Server Solutions Architect with Pragmatic Works. He is also a Microsoft SQL Server MVP and MCM. He has over 15 years of experience developing, architecting, and managing data platforms. Jason writes, blogs, and presents on SQL Server.
LinkedIn: http://www.linkedin.com/in/jackcorbett
Contact: http://www.wisemanorwiseguy.com
JJack Corbett began working with SQL Server, Access, and VB in 1999, when he served an apprenticeship with a good friend who was the software development manager at the local paper mill. He found his niche and has concentrated on SQL Server development and administration since late 2000. He has worked with SQL Server through version 2017 and was a Microsoft Data Plaform MVP from October 2011 to October 2016. Jack is passionate about helping companies architect, design, and develop high performance applications based on the Microsoft Data Platform. He also has a passion for seeing database developers get the core application code (the database) protected under source control. Jack has presented at many user groups and SQLSaturday even
Contact: http://www.42and5.com
Troy Ketsdever is a data architect with over 15 years of commercial software development experience, and has maintained a love/hate relationship with SQL Server since version 4.2. In addition to his "day job", Troy enjoys writing articles and presenting at user groups on a variety of database design and implementation topics. His main objective and vision is “making the right information available to the right people at the right time”.
Contact: http://www.SaveOurSQL.com
Michelle Poolet, MCIS, University of Denver, Zachman Certified™ - Enterprise Architect, Neverfail NCIE, Microsoft MCP SQL Server, is a founder and President of Mount Vernon Data Systems, established 1990, a database consulting company that specializes in database systems, data modeling, courseware development, education, and training. She is also co-founder and COO of Six Sigma Uptime, founded in 2008, which specializes in data protection and business continuity for SQL assets.
Over the past five years, Brandon has explored SQL Server as a developer, administrator, and consultant. After graduating school, he has translated his academic knowledge base into real-world scenarios in the health insurance, education, and transportation industries. Brandon has presented at Code Camps/User Groups in UT, as well as here in Denver. He currently holds a MCITP in 2005 DB Development.
The following is a list of sponsors that helped fund the event.


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| DOSE: |
15 mg |
smoked |
Heroin |
(tar / resin) |
Hello, over my short life, I've tried several drugs. Starting with caffeine, nicotine, and alcohol, I moved onto marijuana, which I smoked regularly for about one year. Because I lived at home at the time, and I was a careless teenager, I got caught by my parents. After that, I kept things quiet for a few months, and then I started doing E, acid, ketamine, nitrous, and various amphetamines.
However, I had always been interested in smoking heroin (needles aren't my thing). So, when the opportunity presented itself to score some h from a local dealer/friend of mine, I jumped on the opportunity to buy twenty dollars worth. I took it home, got some tin foil and a small glass tube to inhale the smoke. After trying unsuccessfully to get it to smoke over a candle, I got out a simple bic lighter, which worked much better. It took a while to completely burn up, but by that time, I was pretty damn faded.
I felt good. It's not what I would call 'euphoria' but was more like a content emptiness. I put on some Coldplay and just chilled, watching the candles flickering in the draft in my room. Life was good. I didn't care about the problems in my life, and work seemed like something completely pointless, I see how people become addicted to this.  I feel itchy and tired. Overall, this has been a great experience, but I won't do it again because this is a habit that could ruin me financially.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


If you are heading EAST on Lake Shore Boulevard, turn right onto Lower Simcoe Street and head south.
If you are heading WEST, take Queens Quay West. and turn left into our site at Lower Simcoe Street. Please note the new left turn signal light.
Also note that eastbound traffic on Queens Quay West is not permitted to turn right into our site.
Underground parking is available on-site at 555 Coding Court, or above-ground one block west at Rees Street and Queens Quay West.
Head southbound on the Yonge-University Line to Union Station. The 509 Harbourfront streetcars run East-West from Union.
Check out Google Maps: Google Maps


Week 11: George Floyd. Before you read this post, understand this – mine is not the voice you should prioritize. While I am outraged by the murder of George Floyd,...
Week 10: CDC Compliance: Chicago. This post is part of a larger project. If you’re bored in quarantine and want to collect data in your city, email me. It’s easy!...
Week 9: A Weekend. In the dystopian fashion of 2020, I logged onto Zoom Saturday afternoon to watch my virtual graduation. Four years of college bookended by Trump’s election and...
Week 8 (late!): Music. This post is being posted in the middle of week nine because of the following excuses that I find valid but you may not: Finals Six...
Week 7: Organization.  I hate clutter but I like stuff. To make matters worse, I am bad at getting rid of stuff. I also love organizing and...
Week 6: Text Analysis. This week, we’re focusing on text analysis. Aisling has asked us to take some of the reflections we’ve done since the start of remote classes and...
Week 5: Data Privacy. This week, my class has been asked to contemplate data privacy. If you have not read it already, take a look at the New York Times’...
Week 4: Social Networks. Part 2. Thinking about social networks made me realize that my typical social networks are all out of whack right now. Normally I’d be living at...
Week 4: Social Networks. Part 1. It’s the start of week four in quarantine and things are somehow still not consistent. Some things that changed this week: Gillian and I...
Week 3: Quantified Self. This is the first week of Zoom classes. That also means this is the first week I am touching the homework that I had not one...
Written 4/22/20 Weeks 1 & 2: Prologue. I am writing this post retroactively because my COVID Diaries adventure began during week 3 of my quarantine. Being as I have a...
Mini-Project 2: Adventure 1 Prompt You’ll pretend that you work for Buzzfeed and have been asked to build an algorithm that automatically flags incoming news stories as “fake” or “real”....
Mini-Project 1 Prompt The ultimate goal of your analysis will be to build a predictive model of price and to understand the listing features with which this might be associated....
DropIn A web-application that provides a visual interface to help students and advisors plan a major, representing the courses and prerequisite logic as a directed graph. Authors: Kevin Shin, Juliet...
This project is maintained by julietkelson


Vijeteer is a slim, young man of average height with long brown hair, which he keeps tied in a ponytail at the back of his head, and has two long, curved shoulder-length bangs. He has dark eyes and is mostly, if not always, shown frowning. Vijeteer’s initial outfit consisted of a dark, close-fitting dancing suit that covers the entirety of his body aside from his head. The suit comes with small, outlined round areas over the shoulders, elbows and knees, linked together by thin, metal-colored stripes. Vijeteer is said to possess 100 copies of this very same attire. After the 7-years time skip and following Fairy Tail’s decay, Vijeteer’s attire became more elaborate, and yet less outlandish. He now sports an orange toga-like cloth, draped over his right shoulder and tied around his waist by a light sash with a knot on the left, with a dark, short-sleeved shirt under it. He dons dark pants reaching down below his knees, with light strips hanging from its hemlines over his bare calves, and his feet are covered by simple sandals. He has round, metal bracelets around each wrist, and a necklace composed of large beads around his neck. The most prominent addition to his outfit, however, is his round headgear, seemingly consisting of a dark cap, with its peak emerging from the gray bands adorned by blue, diamond-shaped motifs wrapped around its top, and sporting six large fang-like ornaments hanging from it, three on each side of his head.
He has always loved dancing, and is often seen in the guild dancing. His goal is to save up enough money to study abroad in the holy land of Dance, "Minstrel"
Dancer (Dansā): Vijeeter uses this Magic by dancing, which allows him to able to increase the fighting capacity of his allies, and to decrease the power of foes. This Magic, however, only works within a ten meter radius


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Fire Damages Cardboard & Packaging Plant in Lehavim
by Hana Levi JulianFirefighters from Be’er Sheva, the Bedouin city of Rahat and a number of district stations worked for hours to combat a blaze Monday morning in the Kargal cardboard and packaging factory at the Idan Ha’Negev industrial park.
The park is located in Lehavim, near Be’er Sheva.
One of the main concerns was to keep the fire from spreading to a fuel tank located in the factory, according to Fire and Rescue Services spokesperson Adir Naim.
No injuries were reported. It’s not clear what started the blaze.


This example shows how Telerik ComboBox for ASP.NET MVC is using build-in client validation of the ASP.NET MVC 2.0
Validation of the Model is based on the DataAnnotations. Except, all required actions to enable build-in client validation, important thing is that the combobox should have the same name as the validated property of the Model. In other words if ProductID is a property of the Model, combobox should be named "ProductID".
Here is the definition of the ProductID property, which is validated in this demo:
[Required] public int ProductID { get; set; }
The [Required] attribute comes from the System.ComponentModel.DataAnnotations.


This example, which is available on GitHub, lets you test various configurations and options when using the Deepgram speech recognition API in batch mode, which processes prerecorded audio rather than streamed audio.
Username:
Password:
Capture microphone (if supported):
Choose an audio file:
Enter audio URL:
| # | Word | Start Time (sec) | Speaker |
|---|


Thank you for purchasing my plugin. If you have any questions that are beyond the scope of this help file, please feel free to email via my user page. Thanks so much! Support Forums: http://support.wpbakery.com Profile Page: http://themeforest.net/user/mixey
Visual Composer is very unique plugin, it will help you managing your content at the WordPress site. Nowadays many websites have complex grid layouts with columns, tabs, sliders and etc. In the past, to create that type of layouts you should be html guru or shortcodes operator ninja.
But not anymore! I've prepared a short video for you to get you up running in no time. See yourself how easy it is. Complex layouts combined with professionally designed plugins made easy!
I hope you see how big potential Visual Composer have. Enjoy!
Visual Composer installation doesn't differ from any other plugin installation process, so you might be familiar with this process already. If not, please follow instructions below.
That's it!
After installing and enabling Visual Composer plugin you can start creating your layouts. There's one concept/design pattern you should know.
In the Visual Composer editor mode you'll have two menu sections with content elements to place on the working canvas.
This is set of "empty" columns (grid) which you can place on your working canvas. After placing it to the working canvas you can drop-and-drop elements from "Content Elements" section to fill those columns with content blocks.
That way you can group elements in logical groups and then drag them around with your mouse (to re-position).
This is a list of available content elements that can be placed on the working canvas or inside of the columns. Think of them as bricks. With those bricks you are building your layout. Most of the content elements have options, to set them click pencil icon. To save changes click save button.
List of avalaible content items:
After placing this content elements to the working canvas, click pencil icon to see options available for this particular shortcode.
Yes. In the WYSIWYG editor you can insert [shortcodes] as usual. Basic scenario: Insert Text Block from Content Elements section, click Edit button and in the editor, enter your shortcode or place it between existing text content.
Great question! Starting from 3.0 version you can create a "Template" and then insert it on any other page. Here's how:
Another way. Switch to Classic mode and copy shortcodes that Visual Composer generated for you, create new page and paste them and switch to Visual Composer mode. You should see your layout copied.
To do that you will need to override default CSS rules. This is easy, open your theme style.css file (or another file wherr your css rules located) and place this snippet in it:
div.wpb_content_element .ui-tabs .ui-tabs-nav li, div.wpb_content_element .ui-accordion .ui-accordion-header, div.wpb_tabs .ui-tabs .ui-tabs-panel { background-color: #ff0000; }
This will re-color background to red color, change hex value to your color.
In short - Yes. Please check advanced documentation file (this is something that should be done by php developer).
Please take a look at this video demo http://www.screenr.com/ash8 how to switch to "Visual" mode.
Please take a look at the video demo: http://www.screenr.com/v4x8
Make sure you are running latest WordPress version.
Please make sure to unzip original file that you've downloaded. Inside of it you'll find documentation and plugin .zip file (that should be uploaded to your site).
First, login to CodeCanyon and under your profile click Downloads link. Re-download Visual Composer and extract it. Now navigate to the Plugins menu in your WordPress admin area. Deactivate Visual Composer, delete it. And upload new version that downloaded few seconds earlier. Activate Visual Composer.
For future releases I've a plan to add more content blocks, to give you more freedom and flexibility with your layouts.
Thank you once again for the purchase!
Michael M,
WPBakery
Need help? Join our support forums.
Don't be shy - join us on Facebook, subscribe to our newsletter, visit our website and follow us on twitter.
If you are updating Visual Composer from 2+ version, to Visual Composer 3+ this is important read.
Visual Composer 3rd version is fully rewritten plugin and as a result there are few backwards compatibility problems. A lot of users asked for better drag and drop handling - especially for Tabs and Tour section elements. So now, Tabs, Tours and newly added Accordion blocks can accept other content elements, have columns, buttons, images and all the rest blocks inside of them. As a drawback of having such a great functionality, previously created pages that have tabs or tour section in it, should be created from scratch. My apologies for that, but I am sure you will see massive benefits from this step.
Required steps: After upgrading Visual Composer to 3rd version from 2nd, you should open each page that was created with Visual Composer 2 and regenerate shortcodes. Good news - this is easy. Simply open your page, decrease size of one of the elements, increase size back and hit update page button.


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us, you are part of a team of committed collaborators.
All aspects of our software
development process are integrated, iterative
and agile.Our approach unifies design, development and
project management to create exceptional products.
We start each project by understanding our business
goals, the user's needs and the products requirements.
Then we help translate them into effective and
elegant solutions
Before We sign a contract or write a line of code,
our team will spend the necessary
time needed
to
understand our product vision.
The outcome of this scoping session is a proposal or high-level
statement of work.
Based on your requirements,
we can provide a complete offering or just the
pieces
you need.
Before We sign a contract or write a line of code,
our team will spend the necessary
time needed
to
understand our product vision.
The outcome of this scoping session is a proposal or high-level
statement of work.
Based on your requirements,
we can provide a complete offering or just the
pieces
you need.
Our design practice offers a full range of services including brand strategy,
interaction and
visual
design and user experience testing. Throughout your project, our designers create and
implement
visual design and workflows, solicit user feedback and work with you to make sure what gets built is
what is needed.
All engineers are fluent in the latest enterprise,
mobile and web development
technologies.
They
collaborate with your team to write,
and improve code on a daily basis,
using proven
practices such as test-driven development and pair programming.
Planning and development is iterative.
Because we are constantly coding and
testing,
the
products we
build are always ready to go live.
This iterative process allows for changes as
business
requirements evolve.
JIM CARRY
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HAVE A GOOD DAY
TECHNOLOGY
LOGO MOCK-UP
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Jim Carrey
Triple-p
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Have a Good Day
technologies
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2019


48+ Juventus Logo 2020 Images. Two colors are used in the logo. Juventus logo wallpaper iphone android.
Keep support me to make great dream league soccer kits. Juventus logo for dream league soccer 2019. Juventus logo 512×512 has a very beautiful design.
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Juventus logo for dream league soccer 2019. Kit juventus 2019/2020 dream league soccer kits url 512×512 dls 2020. Juventus launch new logo to go 'beyond football'. The juventus 2021 dls kits & 512×512 logo's has the great history behind of its name, so just know that before we are going to get the 512×512 kits juventus 2021, actually, in 1897 this team was.


00 - REACTOR
01 - MEDICAL FACILITIES
02 - RESEARCH LABS
03 - MAINTENANCE
04 - STORAGE
05 - FLIGHT DECK
06 - EXECUTIVE QUARTERS
07 - ENGINEERING
08 - SECURITY
09 - COMMAND
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11 - DELTA GROVE
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13 - BETA GROVE
14 - LOWER CYBERSPACE
15 - UPPER CYBERSPACE
0 - Weapons
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4 - Dermal Patches
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|
gtsam
4.0.0
gtsam
|
Parameters for Gauss-Newton optimization, inherits from NonlinearOptimizationParams.
Additional Inherited Members | |
| Public Member Functions inherited from gtsam::NonlinearOptimizerParams | |
| virtual void | print (const std::string &str="") const |
| size_t | getMaxIterations () const |
| double | getRelativeErrorTol () const |
| double | getAbsoluteErrorTol () const |
| double | getErrorTol () const |
| std::string | getVerbosity () const |
| void | setMaxIterations (int value) |
| void | setRelativeErrorTol (double value) |
| void | setAbsoluteErrorTol (double value) |
| void | setErrorTol (double value) |
| void | setVerbosity (const std::string &src) |
| bool | isMultifrontal () const |
| bool | isSequential () const |
| bool | isCholmod () const |
| bool | isIterative () const |
| GaussianFactorGraph::Eliminate | getEliminationFunction () const |
| std::string | getLinearSolverType () const |
| void | setLinearSolverType (const std::string &solver) |
| void | setIterativeParams (const boost::shared_ptr< IterativeOptimizationParameters > params) |
| void | setOrdering (const Ordering &ordering) |
| std::string | getOrderingType () const |
| void | setOrderingType (const std::string &ordering) |
| Static Public Member Functions inherited from gtsam::NonlinearOptimizerParams | |
| static Verbosity | verbosityTranslator (const std::string &s) |
| static std::string | verbosityTranslator (Verbosity value) |
| Public Attributes inherited from gtsam::NonlinearOptimizerParams | |
| size_t | maxIterations |
| The maximum iterations to stop iterating (default 100) | |
| double | relativeErrorTol |
| The maximum relative error decrease to stop iterating (default 1e-5) | |
| double | absoluteErrorTol |
| The maximum absolute error decrease to stop iterating (default 1e-5) | |
| double | errorTol |
| The maximum total error to stop iterating (default 0.0) | |
| Verbosity | verbosity |
| The printing verbosity during optimization (default SILENT) | |
| Ordering::OrderingType | orderingType |
| The method of ordering use during variable elimination (default COLAMD) | |
| LinearSolverType | linearSolverType |
| The type of linear solver to use in the nonlinear optimizer. | |
| boost::optional< Ordering > | ordering |
| The variable elimination ordering, or empty to use COLAMD (default: empty) | |
| IterativeOptimizationParameters::shared_ptr | iterativeParams |
| The container for iterativeOptimization parameters. used in CG Solvers. | |
| Public Types inherited from gtsam::NonlinearOptimizerParams | |
| enum | Verbosity { SILENT, TERMINATION, ERROR, VALUES, DELTA, LINEAR } |
| See NonlinearOptimizerParams::verbosity. | |
| enum | LinearSolverType { MULTIFRONTAL_CHOLESKY, MULTIFRONTAL_QR, SEQUENTIAL_CHOLESKY, SEQUENTIAL_QR, Iterative, CHOLMOD } |
| See NonlinearOptimizerParams::linearSolverType. | |


what's a
rimads is a medical startup that has a vision of using innovations in computer science in order to provide a new way for users to interact with medicine
iOS Development, UX+UI Design, Identity
Electron Development, UX+UI Design
Stork is a pharmaceutical app that had a simple mission: make it easier to connect users to health products.
This was achieved thorugh two main features; a subscription service thorugh which you can buy and get medicine delivered, and a consultation service that connects you to health experts thorugh the app.
As I served as the sole designer and iOS developer in this ambitious tech startup, I've had the chance to re-conceptualize the app's approach to usability, design and implement a newly friendly brand identity, and finally code up the app's functionality with Swift.
• Web Design and Development
• User experience Design for Stork
• iOS Development for the App
• Graphic Design for the Iconography
• Brand Identity Development
the first stage was redesigning the flow to focus on making it easy to use, and highly accessible to audience with no medical background
I've redesigned the app to have as much breathing room as possible. This meant using a combination of overflowing whitespace and subtle highlights, while keeping buttons and interactable objects colorful and contrasty.
The project went through numerous iterations that involved shorter development cycles. I used sketch for prototyping, and Swift for front-end implementation
I'd like to show you a bit more of the app, but it's undergoing a bit of an overhaul. Come back in just a few days!


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Supergirl: Lena Luthor Reveals Her Plan for Kara in Exclusive Clip
by Meagan DamoreLena Luthor has an endgame for her friendship with Kara Danvers.
In "Tremors," the next episode of Supergirl, Lena will confront Leviathan head-on in an attempt to fall under Kara's protection. Then, she hopes to end up at the Fortress of Solitude to get her hands on something for Project Non Nocere, her plan "to rid humanity of its instincts to hurt each other."
The CBR-exclusive clip opens in Lena's apartment, while she sat on the couch reading. When her alarm chirped, she looked up and said, "You can come out now." At that, a Leviathan agent stepped into her living room, cocking a loaded gun and demanding, "Give me the medallion."
"I don't think so," Lena replied, only for the woman to fire a shot. However, it simply ricocheted off a force field. "I have the most intricate security system in the world," she explained. "I know all about Leviathan."
"No one knows all about Leviathan," the woman spat back. "Leviathan is unknowable."
"I'm not afraid," Lena declared, to which the woman replied, "You will be." With that, she disappeared into the shadows.
When the woman left, Hope -- occupying Eve Teschmacher's body -- stepped forward. "She's gone," she confirmed. "I've reactivated heightened penthouse security. You were right as always, Ms. Luthor. Leviathan will attempt to retrieve the medallion at all costs, but why would you provoke them over something of no value?"
"It has value to me," Lena said. "The medallion was special to my mother. The fact that Leviathan wants it makes it useful. Lex theorized that Superman kept every weapon that was used against him in a special facility: the Fortress. Although he never found it, I think Lex was right. I think the perfect dispersal device for Project Non Nocere is hidden there, gathering dust, and Leviathan is going to help me find it."
"Please don't underestimate the danger of Leviathan," Hope insisted. "You should cancel the L Corp event at the park. They will come after you."
"Let them come," Lena said with a sly smile. "Supergirl will save me."
Judging by photos from the upcoming episode, Lena does indeed make it up to the Fortress of Solitude with Kara. This may mean that she comes under fire at her big event, resulting in Kara sweeping her away and dropping her at the Fortress for safekeeping. Judging by the episode synopsis, which appears below, this will also lead Kara to discover Lena's true intentions.
According to the episode description,
SOMETIMES THE PERSON YOU WOULD TAKE A BULLET FOR IS STANDING BEHIND THE TRIGGER – Supergirl (Melissa Benoist) finally learns the truth about Lena (Katie McGrath) while tangling with Leviathan. J’onn J’onnz (David Harewood) makes a discovery about his brother’s whereabouts. Andi Armaganian directed the episode written by J. Holtham & Katie Rose Rogers (#507). Original airdate 11/17/2019.
Airing Sundays at 9 p.m. ET/PT on The CW, Supergirl stars Melissa Benoist as Kara Danvers, David Harewood as Martian Manhunter, Mehcad Brooks as Jimmy Olsen and Chyler Leigh as Alex Danvers.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2TVhttps://www.cbr.com/category/tv/ListItem3TV Newshttps://www.cbr.com/category/tv/news-tv/ListItem4Supergirl: Lena Luthor Reveals Her Plan for Kara in Exclusive Cliphttps://www.cbr.com/supergirl-lena-luthor-plan-clip/


Schinkenfleckerl überbacken, Viennese Mac'n'Cheese
- ⏲ Prep time: 25 min
- 🍳 Cook time: 120 min
- 🍽 Servings: 8-12
This is a recipe for a typical Austrian carb and protein bomber. This is traditionally made with ham or smoked rolled roast. This is good if you want to feed a family or if you just want to be lazy and eat the same thing for 3 or 4 days.
Serve topped with cheese on top of salad (with Mustard, Jam, Salt, 1 Vinegar, 4 Oil-Vinegrette)
Ingredients
- 1kg ham or smoked rolled roast
- 1kg cooked fusilli noodles or small square flat noodles (=Fleckerl)
- 500 ml cream
- 500 ml sour cream
- 1-2 eggs
- Majoran, Muskat, Pepper
- Optional:
Directions
- Start cooking noodles.
- First slice, then cube ham into smaller than 1cm³ pieces.
- Whip cream in a big bowl.
- Add spices, eggs and sourcream to bowl and stir.
- Put ham cubes in and stir.
- Put noodles without water into bowl and mix.
- Put the mixture into one or two baking pans (with baking paper).
- Bake at ~160°C for ~2 hours.
- Optionally gratin Mozarella or any other cheese on top for 5-10 minutes.
There you have it, an idiot-proof carb and protein bomber that should taste reasonably well. Besides browning the noodles this is really just throwing stuff into a baking pan. This is the kind of dish that tastes better the next day so it’s ideal for making on a Sunday and eating for the next 3 or 4 days. Just reheat in oven or pan (add little water).
Contribution
Recipe tags:
austrian
ham
noodles


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Several R90 estimators are compared using Monte Carlo simulations. L-estimators based on second worst miss radius or R6:10+R9:10 found to perform well on wide variety of input distributions.
Based on observed shots, estimate R90 (the radius of a circle that is expected to contain 90% of all impacts).
5x5 (NRA): Measure average extreme spread of five 5-shot groups. This common method is used by NRA magazine American Rifleman to report firearm accuracy. Multiply by 0.72 to get estimate of R90. This assumes perfect zero.
5x5 (4th): Measure 4th-smallest miss radius R4:5 in each of the five 5 shot groups, take the average, multiply by 1.42 to get estimate of R90.
4x5 (4th): Measure 4th-smallest miss radius R4:5 in each of the four 5 shot groups, take the average, multiply by 1.43 to get estimate of R90.
2x10 (9th): Measure 9th-smallest miss radius R9:10 in each of the two 10 shot groups, take the average, multiply by 1.15 to get estimate of R90.
2x10 (6&9th): In a 10 shot group, add 6th-smallest miss radius R6:10 and 9th-smallest miss radius R9:10. Do it again with the second group and take the average. Multiply by 0.69 to get estimate of R90.
Rayleigh 20: Take the average of 20 miss radiuses, multiply by 1.76 to get estimate of R90.
MLE 20: Take square root of the sum of squares of 20 miss radiuses, multiply by 0.35 to get estimate of R90.
Start with establishing the baseline. Pull impact coordinates from standard bivariate normal distibution, estimate R90, pull another impact, see if it lands inside R90. Compare root mean square error (RMSE) and mean absolute error (MAE) of different estimators.
Example groups:
Distribution of R90 estimates based on \(10^{4}\) simulations:
| Estimator | Hits within estimated R90 | RMSE | MAE |
|---|---|---|---|
| 5x5 (NRA) | 90.4% | 0.276 | 0.468 |
| 5x5 (4th) | 90.2% | 0.27 | 0.463 |
| 4x5 (4th) | 90.3% | 0.304 | 0.49 |
| 2x10 (9th) | 90.4% | 0.31 | 0.494 |
| 2x10 (6&9th) | 90.4% | 0.278 | 0.469 |
| Rayleigh 20 | 90.6% | 0.266 | 0.46 |
| MLE 20 | 90.6% | 0.255 | 0.45 |
6&9 estimator with 20 shots and 4 measurements works about as well as 5x5 estimator with 25 shots and 5 measurements.
Rayleigh estimator is just slightly better, but it requires 20 measurments. MLE is noticeably better, but requires even more work.
Now let’s shake the ladder - see how well the estimators work when underlying assumptions are violated.
Start by introducing some vertical offset (constant point of impact shift). Not much, just one \(\sigma\). In practice this is pretty common. Constant wind, change in temperature and therefore muzzle velocity, or errors in determining range can all introduce systemic error.
| Estimator | Hits within estimated R90 | RMSE | MAE |
|---|---|---|---|
| 5x5 (NRA) | 79.1% | 0.464 | 0.634 |
| 5x5 (4th) | 91.1% | 0.332 | 0.513 |
| 4x5 (4th) | 91% | 0.372 | 0.543 |
| 2x10 (9th) | 90.8% | 0.363 | 0.535 |
| 2x10 (6&9th) | 91.1% | 0.341 | 0.52 |
| Rayleigh 20 | 91.2% | 0.337 | 0.516 |
| MLE 20 | 90.9% | 0.306 | 0.493 |
5x5 estimator now underestimates R90. This is expected because group size did not change, the group just moved away from the center of the target so average miss radius increased accordingly.
Other estimators still work ok.
Now let’s see what happens when instead of shifting point of impact we add some fliers. They are common in practice, and typical advice is to simply discard fliers. There are some problems, though.
It’s hard to tell with any sort of consistency whether any particular shot is a flier. In Experiment 0, bottom left shot in the third group looks like a flier, but isn’t. All shots came from the same bivariate normal distribution. Excluding only called fliers depends a lot on the shooter. Some can do it way better than others.
Re-shooting entire group after a flier is expensive and time-consuming, and group size without flier is biased down.
A robust estimator that is not particularly sensitive to occasional flier is preferable.
In this experiment we will simulate fliers by increasing standard deviation by a factor of 5 with 5% probability.
| Estimator | Hits within estimated R90 | RMSE | MAE |
|---|---|---|---|
| 5x5 (NRA) | 91.7% | 1.02 | 0.857 |
| 5x5 (4th) | 88.3% | 0.452 | 0.558 |
| 4x5 (4th) | 88.2% | 0.51 | 0.586 |
| 2x10 (9th) | 89% | 0.906 | 0.713 |
| 2x10 (6&9th) | 89.1% | 0.601 | 0.616 |
| Rayleigh 20 | 90.6% | 0.631 | 0.677 |
| MLE 20 | 91.7% | 1.31 | 0.941 |
Now 6&9 estimator outperforms others, and MLE is the worst.
Now let’s see what happens when vertical and horizontal dispersions are different. In this experiment we flatten the groups - increase horizontal dispersion and decrease vertical dispersion.
This is common in practice. For example, ammo-induced variance in muzzle velocity affects primarily vertical impact coordinate, while wind affects mostly horizontal coordinate.
| Estimator | Hits within estimated R90 | RMSE | MAE |
|---|---|---|---|
| 5x5 (NRA) | 89.6% | 0.399 | 0.563 |
| 5x5 (4th) | 87% | 0.375 | 0.551 |
| 4x5 (4th) | 86.9% | 0.414 | 0.578 |
| 2x10 (9th) | 88.6% | 0.437 | 0.589 |
| 2x10 (6&9th) | 87.6% | 0.384 | 0.556 |
| Rayleigh 20 | 87.3% | 0.359 | 0.538 |
| MLE 20 | 88.3% | 0.353 | 0.531 |
Now combine all factors together: increase standard deviation by a factor of 5 with 5% probability, add one \(\sigma\) vertical offset, and flatten the groups.
| Estimator | Hits within estimated R90 | RMSE | MAE |
|---|---|---|---|
| 5x5 (NRA) | 88.9% | 1.11 | 0.899 |
| 5x5 (4th) | 89.3% | 0.533 | 0.602 |
| 4x5 (4th) | 89.2% | 0.606 | 0.635 |
| 2x10 (9th) | 89.3% | 1 | 0.769 |
| 2x10 (6&9th) | 89.5% | 0.678 | 0.663 |
| Rayleigh 20 | 91.5% | 0.792 | 0.756 |
| MLE 20 | 91.9% | 1.53 | 0.998 |
Finally let’s look at some real-world data: instead of generating impact coordinates with pseudorandom number generator, sample with replacement from 341 actual shots. Only miss radiuses were recorded, so 5x5 estimator is not shown.
| Estimator | Hits within estimated R90 | RMSE | MAE |
|---|---|---|---|
| 5x5 (4th) | 87.4% | 6.87 | 2.3 |
| 4x5 (4th) | 87.2% | 7.69 | 2.44 |
| 2x10 (9th) | 89% | 10.3 | 2.63 |
| 2x10 (6&9th) | 88% | 7.92 | 2.41 |
| Rayleigh 20 | 87.9% | 8.27 | 2.49 |
| MLE 20 | 89.6% | 14.8 | 3.05 |
This section describes where the magic numbers came from.
5x5 factor 0.72 was determined approximately using Monte Carlo simulations because there does not seem to be another way to do it.
2x10 (9) uses 9th smallest miss radius in 10 shot group because according to formula 3.13 in [1] optimum unbiased estimator from single order statistic Rm:n is
\[m \approx 0.79681(n+1)-0.39841+\frac{1.16312}{n+1}\]
For \(n=10\) it falls right between 8 and 9, and R9:10 (second worst miss radius) is easier to find on paper.
Factor 1.15 can be obtained analytically. Assume miss radiuses of individual shots follow Rayleigh distribution with \(\sigma = 1\). Its probability density function is
\[f(x)=x e^{-\frac{x^2}{2}}\]
and cumulative distribution function is
\[F(x)=1-e^{-\frac{x^2}{2}}\]
Probability density of \(m\)th miss radius in a group of \(n\) shots is
\[f_{m:n}(x)=\frac{n!}{(m-1)!(n-m)!}(F(x))^{m-1}(1-F(x))^{n-m}f(x)\]
For \(m=9\) and \(n=10\)
\[f_{9:10}(x)=\frac{10!}{(9-1)!(10-9)!}(F(x))^{9-1}(1-F(x))^{10-9}f(x)=90(F(x))^{8}(1-F(x))f(x)\] \[=90\left(1-e^{-\frac{x^2}{2}}\right)^{8}e^{-\frac{x^2}{2}}x e^{-\frac{x^2}{2}}=90\left(1-e^{-\frac{x^2}{2}}\right)^{8}x e^{-x^2}\]
Let \(t\) be average of two miss radiuses \(R_{9:10}\). PDF of \(t\) is convolution of PDFs \(f_{9:10}\)
\[p_2(t)=2\int_{0}^{2t}f_{9:10}(u)f_{9:10}(2t-u) du\]
Probability that miss radius of the next shot is greater than \(y\) (complementary cumulative distribution function) is
\[p(y)=1-F(y)=e^{-\frac{y^2}{2}}\]
\(y=R_{90}\) should be proportional to \(t\) with some yet unknown coefficient \(k\):
\[p(y)=p(kt)=e^{-\frac{k^2 t^2}{2}}\]
Miss radius \(y\) is greater than \(R_{90}\) with 10% probability:
\[cdf_{9:10}(t)=\int_{0}^{\infty}p_2(t)e^{-\frac{t^2 k^2}{2}} dt=0.1\]
The following Maxima code can solve the above equation to get \(k \approx 1.149216\). Upper integration limit of 10 was chosen to be high enough to not affect the result much, but low enough so that numerical integration does not underflow.
assume(x>0,t>0,u>0,k>0);
f(x):=90*x*(1-exp(-x^2/2))^8*exp(-x^2);
p2(t):=romberg(2*f(u)*f(2*t-u),u,0,2*t);
cdf(k):=romberg(p2(t)*exp(-t^2*k^2/2),t,0,10);
find_root(cdf(k)=0.1,k,1.1,1.2);
2x10 (6&9) factor 0.69 can also be derived from the formulas for order statistics.
Joint probability distribution of 6th miss radius \(x=R_{6:10}\) and 9th miss radius \(y=R_{9:10}\) is
\[f(x,y)=\frac{n!}{(j-1)!(k-j-1)!(n-k)!}[F(x)]^{j-1}(F(y)-F(x))^{k-j-1}(1-F(y))^{n-k}f(x)f(y)\] \[=15120 \left[1-e^{-\frac{x^2}{2}}\right]^5 \left(e^{-\frac{x^2}{2}}-e^{-\frac{y^2}{2}}\right)^2 e^{-\frac{y^2}{2}} x e^{-\frac{x^2}{2}} y e^{-\frac{y^2}{2}}, x \le y\]
Since we only care about \(x+y\), we can rotate axes by 45° and integrate over \(x-y\):
\[p(u)=\frac{1}{2}\int_{0}^{u}f\left(\frac{u-v}{2},\frac{u+v}{2}\right)dv\]
Applying convolution to get PDF of the average of the two measurement:
\[p_2(t)=\int_{0}^{2t}2p(u)p(2t-u)du\]
Integrating to get cumulative distribution:
\[cdf(k)=\int_{0}^{\infty}p_2(z)e^{\frac{-z^2 k^2}{2}}dz = 0.1\]
The following Maxima code can solve the above equation to get \(k \approx 0.68860849\)
assume(x>0,y>0,x<=y,u>0,v>0,v<=u,z>0);
f(x,y):=15120*(1-exp(-x^2/2))^5*(exp(-x^2/2)-exp(-y^2/2))^2*exp(-y^2/2)*x*exp(-x^2/2)*y*exp(-y^2/2);
p(u):=romberg(f((u-v)/2,(u+v)/2)/2,v,0,u);
p2(t):=romberg(2*p(u)*p(2*t-u),u,0,2*t);
cdf(k):=romberg(p2(z)*exp(-z^2*k^2/2),z,0,10);
find_root(cdf(k)=0.1,k,0.6,0.8);
Rayleigh 20 factor 1.76 was determined approximately using Monte Carlo simulations, but we can also get lower bound in closed from. With infinite number of shots, expected value of miss radius (Rayleigh estimator) is
\[r=E(x)=\int_{0}^{\infty}f(x) x dx = \sqrt{\frac{\pi}{2}}\]
From cumulative distribution function of miss radius
\[F(R_{90})=1-e^{-\frac{R_{90}^2}{2}} = 0.9, R_{90}=\sqrt{2ln(10)}\]
therefore the factor is
\[k = \frac{R_{90}}{r} = \sqrt{\frac{4 ln(10)}{\pi}} \approx 1.71223316\]
Rayleigh distribution is asymmetric so this is a lower bound on \(k\).
MLE 20 factor 0.35 was determined approximately using Monte Carlo simulations, but we can similarly get lower bound in closed form, which for \(N=20\) is
\[k=\frac{4^N N! (N-1)! \sqrt{N}}{(2N)!\sqrt{\pi}}\sqrt{2ln(10)}\sqrt{\frac{1}{2N}} \approx 0.3414341\]
Maxima expression:
float(4^20*20!*(20-1)!*sqrt(20)*sqrt(2*log(10))/((2*20)!*sqrt(%pi)*sqrt(2*20)));
[1] M. M. Siddiqui (1964): “Statistical Inference for Rayleigh Distributions”, Radio Science Journal of Research Vol 68D, No.9 http://ballistipedia.com/images/7/7a/Statistical_Inference_for_Rayleigh_Distributions_-_Siddiqui%2C_1964.pdf


As simple as
adding a button
Businesses use Fraction to create, distribute,
and accept digital offers without any apps to
download or extra screens in your store. It’s as
simple as adding a button to your POS to start
driving more traffic to your stores.


Video Shows How Nasty It Is At Gillette Stadium For Cowboys-Patriots
by Andrew HolleranGood luck throwing the ball today, Cowboys and Patriots. The weather for this afternoon’s game between Dallas and New England looks downright nasty.
Gillette Stadium is a cold, rainy, windy hellscape today.
Bad weather is expected all afternoon long. The Cowboys and the Patriots better have their running games ready.
It’s a brutal scene in Foxborough right now:
The Cowboys have been looking to get Ezekiel Elliott going in recent weeks. They’ll likely need him running at an elite level this afternoon.
Dallas and New England are set to kick off at 4:25 p.m. E.T.
The game will be on FOX.


Music Analizer
{{song_name}}
{{artist}}
Lyrics
Genre
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Album
{{album}}
Rating
{{rating}}
Mood
{{mood}}
Key Words
{% for word in words %}
{{word}}
{% endfor %}


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KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
This class contains the tools related with the distance spatial container cell data. More...
#include <find_intersected_geometrical_objects_process.h>
Classes | |
| class | CellNodeData |
| This class contains the cell node data. More... | |
Public Types | |
Enum's | |
| enum | { Dimension = 3 , DIMENSION = 3 , MAX_LEVEL = 12 , MIN_LEVEL = 2 } |
Public Member Functions | |
Life Cycle | |
| DistanceSpatialContainersConfigure () | |
| Default constructor. More... | |
| virtual | ~DistanceSpatialContainersConfigure () |
| Destructor. More... | |
Input and output | |
| virtual std::string | Info () const |
| Turn back information as a string. More... | |
| virtual void | PrintInfo (std::ostream &rOStream) const |
| Print information about this object. More... | |
| virtual void | PrintData (std::ostream &rOStream) const |
| Print object's data. More... | |
Static Public Member Functions | |
Operations | |
| static data_type * | AllocateData () |
| This method allocates the cell data. More... | |
| static void | CopyData (data_type *pSource, data_type *pDestination) |
| This method copies the data from a cell. More... | |
| static void | DeleteData (data_type *pData) |
| This method deletes the data from a cell data. More... | |
| static void | CalculateBoundingBox (const PointerType &pObject, PointType &rLowPoint, PointType &rHighPoint) |
| This method computes the bounding box of an object. More... | |
| static void | GetBoundingBox (const typename GeometricalObject::Pointer pObject, double *rLowPoint, double *rHighPoint) |
| This method computes the bounding box of an object (using C arrays) More... | |
| static bool | Intersection (const typename GeometricalObject::Pointer pObj1, const typename GeometricalObject::Pointer pObj2) |
| This method computes if there is an intersection between two objects. More... | |
| static bool | IntersectionBox (const typename GeometricalObject::Pointer pObject, const PointType &rLowPoint, const PointType &rHighPoint) |
| This computes the intersection between an object and a box. More... | |
| static bool | IsIntersected (const typename GeometricalObject::Pointer pObject, double Tolerance, const double *rLowPoint, const double *rHighPoint) |
| This method checks if the objects intersects the low and hight points provided. More... | |
Type Definitions | |
| typedef std::size_t | IndexType |
| Definition of the index type. More... | |
| typedef Point | PointType |
| Definition of the point type. More... | |
| typedef std::vector< double >::iterator | DistanceIteratorType |
| Definition of the distance iterator type. More... | |
| typedef PointerVectorSet< GeometricalObject, IndexedObject > | EntityContainerType |
| Definition of the entity container type. More... | |
| typedef EntityContainerType::ContainerType | ContainerType |
| Definition of the container type. More... | |
| typedef ContainerType::value_type | PointerType |
| Defintion of the pointer type. More... | |
| typedef CellNodeData | cell_node_data_type |
| Definition of the cell node data. More... | |
| typedef std::vector< CellNodeData * > | data_type |
| Definition of the cell data type. More... | |
| typedef PointerType | pointer_type |
| The definition of the pointer type. More... | |
| KRATOS_CLASS_POINTER_DEFINITION (DistanceSpatialContainersConfigure) | |
| Pointer definition of DistanceSpatialContainersConfigure. More... | |
This class contains the tools related with the distance spatial container cell data.
The CellNodeData is defined as an internal class
Definition of the cell node data.
| typedef EntityContainerType::ContainerType Kratos::Internals::DistanceSpatialContainersConfigure::ContainerType |
Definition of the container type.
| typedef std::vector<CellNodeData*> Kratos::Internals::DistanceSpatialContainersConfigure::data_type |
Definition of the cell data type.
| typedef std::vector<double>::iterator Kratos::Internals::DistanceSpatialContainersConfigure::DistanceIteratorType |
Definition of the distance iterator type.
| typedef PointerVectorSet<GeometricalObject, IndexedObject> Kratos::Internals::DistanceSpatialContainersConfigure::EntityContainerType |
Definition of the entity container type.
| typedef std::size_t Kratos::Internals::DistanceSpatialContainersConfigure::IndexType |
Definition of the index type.
The definition of the pointer type.
| typedef ContainerType::value_type Kratos::Internals::DistanceSpatialContainersConfigure::PointerType |
Defintion of the pointer type.
Definition of the point type.
|
inline |
Default constructor.
|
inlinevirtual |
Destructor.
|
inlinestatic |
This method allocates the cell data.
|
inlinestatic |
This method computes the bounding box of an object.
| pObject | The pointer to the object |
| rLowPoint | The lowest point of the box |
| rHighPoint | The highest point of the box |
|
inlinestatic |
This method copies the data from a cell.
| pSource | The data cell to be copied |
| pDestination | The data cell where to copy |
|
inlinestatic |
This method deletes the data from a cell data.
| pData | The data cell to be deleted |
|
inlinestatic |
This method computes the bounding box of an object (using C arrays)
| pObject | The pointer to the object |
| rLowPoint | The lowest point of the box |
| rHighPoint | The highest point of the box |
|
inlinevirtual |
Turn back information as a string.
|
inlinestatic |
This method computes if there is an intersection between two objects.
| pObj1 | The pointer to the first object |
| pObj2 | The pointer to the second object |
|
inlinestatic |
This computes the intersection between an object and a box.
| pObject | The pointer to the object |
| rLowPoint | The lowest point of the box |
| rHighPoint | The highest point of the box |
|
inlinestatic |
This method checks if the objects intersects the low and hight points provided.
| pObject | The pointer to the object of interest |
| Tolerance | The tolerance considered |
| rLowPoint | The lowest point of the box |
| rHighPoint | The highest point of the box |
| Kratos::Internals::DistanceSpatialContainersConfigure::KRATOS_CLASS_POINTER_DEFINITION | ( | DistanceSpatialContainersConfigure | ) |
Pointer definition of DistanceSpatialContainersConfigure.
|
inlinevirtual |
Print object's data.
|
inlinevirtual |
Print information about this object.


Just got burn-in on one of my LCD monitors at work. I didn't even think that could happen.
10/5/2009, 9:38:40 AM
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link--- layout: tweet ---
Just got burn-in on one of my LCD monitors at work. I didn't even think that could happen.
10/5/2009, 9:38:40 AM
Favs: 0
Retweets: 0
link


Algorithms
Summary
This week we will explore time-based animation using Javascript objects.
Review
Examples
Creating an object and setting its properties, option 1
// double curly brackets is shorthand for an object
let car = {} // This method creates a new object extending the prototype object passed as a parameter.
car.type = BMW
car.color = 'green'
car.speed = 50
Creating an object and setting its properties, option 2
// same as option one
let car = {
type: BMW,
color: 'green',
speed: 50
}
// or
let car = {type:'BMW',color:'green',speed:50}
Returning values from an object
// same as option one
console.log(car.type) // prints 'BMW' to console
console.log(car['type']) // also, prints 'BMW' to console
Returning values from an object
References
- Different way to create Objects
- Working with Objects
- Coding Train, JavaScript Objects - p5.js Tutorial
- Review: Coding Train, Function Basics - p5.js Tutorial
- Advanced: Prototypes in JavaScript - FunFunFunction #16
Readings
Read "Computer as Material: Messing About with Time" by Seymour Papert (1988).
Homework
- Use the "p5 template" file as a starting point
- Review the p5 Clock Examples
- Only spend 20 - 40 minutes per sketch
- Work out the clock by creating simple programs, step by step
- If you get stuck ask for help
- Sketch! Make sure to Draw out what you want your Clock to do. Remember its the journey not the destination
Practice: Software Clocks (2%)
How do we represent time? The Clock has been investigated by computational artists and designers for years. This clock assignment is a favourite new-media pioneer, John Maeda, and has been passed down for decades. Now its your turn! Your task this week is to create a software clock. You will base your design off of thevisual elements and interaction dynamics investigated in week 2


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| Module | Resourceful::Maker |
| In: |
lib/resourceful/maker.rb
|
This module is extended by the ActionController::Base class object. It provides the actual make_resourceful method and sets up the controller so that everything will work.
Called automatically on ActionController::Base. Initializes various inheritable attributes.
# File lib/resourceful/maker.rb, line 11 11: def self.extended(base) 12: base.write_inheritable_attribute :resourceful_callbacks, {} 13: base.write_inheritable_attribute :resourceful_responses, {} 14: base.write_inheritable_attribute :parents, [] 15: base.write_inheritable_attribute :made_resourceful, false 16: end
Returns whether or not make_resourceful has been called on this controller or any controllers it inherits from.
# File lib/resourceful/maker.rb, line 68 68: def made_resourceful? 69: read_inheritable_attribute(:made_resourceful) 70: end
This is the central method, and namesake, of make_resourceful. It takes a block and evaluates it in the context of a Builder, allowing the controller to be customized extensively.
See Resourceful::Builder for documentation on the methods available in the context of the block.
The only option currently available is :include. It takes an object that responds to to_proc (or an array of such objects) and evaluates that proc in the same context as the block. For example:
make_resourceful :include => proc { actions :all } do before :show do current_object.current_user = current_user end end
This is the same as:
make_resourceful do actions :all before :show do current_object.current_user = current_user end end
# File lib/resourceful/maker.rb, line 49 49: def make_resourceful(options = {}, &block) 50: # :stopdoc: 51: include Resourceful::Base 52: # :startdoc: 53: 54: builder = Resourceful::Builder.new(self) 55: unless builder.inherited? 56: Resourceful::Base.made_resourceful.each { |proc| builder.instance_eval(&proc) } 57: end 58: Array(options[:include]).each { |proc| builder.instance_eval(&proc) } 59: builder.instance_eval(&block) 60: 61: builder.apply 62: 63: add_helpers 64: end


While I languish in my sickbed glugging Lemsip and generally feeling woebegone, there are a couple of items I ought to bring to your attention.
The first (courtesy of Jonathan Calder) is this startling headline from Kent Online. I suspect this is one of those occasions when real life collides with a paperback potboiler by Pebblehead.
The second is to inform you of a couple of books the existence of which I have recently learned. Recently and belatedly, given that both were published almost three hundred years ago. I am going to have to learn Dutch in order to read them:
Jacobus Hondius, Black Register Of A Thousand Sins (1724)
Anon,, The Finger Of God, or Holland And Zeeland In Great Need From This Hitherto Unheard Plague Of Worms (1731?)
I ought to illustrate this postage with images of badgers and worms and sin, but instead I am going to fall into an uneasy and fevered sleep.


The inference configuration describes how to configure the model to make
predictions. It references your scoring script (entry_script
) and is
used to locate all the resources required for the deployment. Inference
configurations use Azure Machine Learning environments (see r_environment()
)
to define the software dependencies needed for your deployment.
inference_config( entry_script, source_directory = ".", description = NULL, environment = NULL )
| entry_script | A string of the path to the local file that contains the code to run for making predictions. |
|---|---|
| source_directory | A string of the path to the local folder
that contains the files to package and deploy alongside your model, such as
helper files for your scoring script ( |
| description | (Optional) A string of the description to give this configuration. |
| environment | An |
The InferenceConfig
object.
To deploy a model, you must provide an entry script that accepts requests, scores the requests by using the model, and returns the results. The entry script is specific to your model. It must understand the format of the incoming request data, the format of the data expected by your model, and the format of the data returned to clients. If the request data is in a format that is not usable by your model, the script can transform it into an acceptable format. It can also transform the response before returning it to the client.
The entry script must contain an init()
method that loads your model and
then returns a function that uses the model to make a prediction based on
the input data passed to the function. Azure ML runs the init()
method
once, when the Docker container for your web service is started. The
prediction function returned by init()
will be run every time the service
is invoked to make a prediction on some input data. The inputs and outputs
of this prediction function typically use JSON for serialization and
deserialization.
To locate the model in your entry script (when you load the model in the
script's init()
method), use AZUREML_MODEL_DIR
, an environment variable
containing the path to the model location. The environment variable is
created during service deployment, and you can use it to find the location
of your deployed model(s).
To get the path to a file in a model, combine the environment variable with the filename you're looking for. The filenames of the model files are preserved during registration and deployment.
Single model example:
model_path <- file.path(Sys.getenv("AZUREML_MODEL_DIR"), "my_model.rds")
Multiple model example:
model1_path <- file.path(Sys.getenv("AZUREML_MODEL_DIR"), "my_model/1/my_model.rds")
r_environment()
, deploy_model()