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Nawaz Sharif leaves Pakistan for medical treatment in London
Pakistan's ailing convicted former PM Sharif leaves country for medical treatment in London.
by APPakistan’s ailing former Prime Minister Nawaz Sharif, who was convicted of corruption, has left the country and is traveling to London for medical treatment.
Sharif departed on a special plane on Tuesday from the city of Lahore, after a court granted him permission to leave for four weeks abroad for medical treatment.
His conviction was earlier suspended for eight weeks on medical grounds.
The 69-year-old Sharif was sentenced to seven years in prison on corruption charges in 2019. After his health deteriorated last month, he was rushed from his cell to a hospital in Lahore. While in hospital, he suffered a minor heart attack.
Three times prime minister, Sharif was removed from office by the judiciary in 2017 over corruption allegations. He denies the charge, saying he was politically victimized.


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Create a camera preview control using the CreateCameraView function of the app object:
This control allows your program to show a live feed of what is currently being seen by the phone/tablet's camera. If your device has a front facing camera and is at least version 2.3 of Android you can use the "Front" option to show the front camera's preview.
You will need to call the StartPreview function of the CameraView control to start the preview (Note: On some phones it is neccessary to wait at least one second before calling the StartPreview function).
See 'CreateCameraView for more informations and a complete function list


'I lost my brother and best friend' - moving tribute to well-known Burton man
David Bartram died last December
by Beth PriddingA Winshill man set to pay an amazing tribute to his "one-of-a-kind" brother after his death left "a hole" in his family's life.
David Bartram, who was known to his family and friends as Bert, was 63 when he died after a short illness last year.
His family said they had been left with a "massive hole" in their lives.
Bert was well known in Winshill for his friendly nature and unique personality.
Now, Bert's younger brother, Steve, also 63, will be following in his footsteps when he takes on a gruelling biking challenge in Cuba - a country that always had a special place in Bert's heart.
Bert - one of six children - would often visit Cuba, but rather than heading to capital Havana and trying its world-famous cigars, he would travel to small villages and meet "real people".
He worked with charities supporting Cubans and would give them essential items they no longer had access to due to the blockade implemented by the US after the Cuban missile crisis in 1962.
Steve and Bert were very close and loved to watch live music together or go to see plays together. The duo went to Glastonbury 26 times.
Dad-of-five Steve, said: "I lost my brother and best friend last December. He was truly one of kind and lived his life to the fullest.
"I don't know if I would have done this if Bert hadn't passed away. I always did want to go to Cuba though, it was on our bucket list to go together, but we never got to fulfil that wish.
"But now I'm going and doing the bike ride for Bert. It's all in his memory and it's thanks to him that I'm doing it and want to raise the money to help children in Cuba. It's for him; for Bertie."
Steve's bike ride will raise funds for essential children's educational equipment, such as braille machines for blind children.
The challenge will see Steve cycle 355km over five days, and he will travel 85km on the longest day.
He added: "The hilly terrain and the temperatures are going to make it more difficult, I think, bearing in mind I'm only 18 months younger than Bert and he did it 15 years ago.
"I am excited to do the same ride that he did though. It will be the exact same route, so I will be doing the exact same as he did years ago.
"After the ride, we will have five days in Cuba, so I am going to meet the real people who live there - like Bert used to."
While he is out there, Steve is also hoping to plant a tree in memory of Bert and create a memorial to him in Cuba.
In October, Steve hosted a special Cuban night, with famous Cuban musician Omar Puente, at Tower Brewery, and and around 140 of Bert's friends and family all gathered to remember him.
Anyone who wants to sponsor Steve can do so by visiting bit.ly/SteveBartramCycleCuba2020


Lee Lieh backs youth to give Taiwan film industry edge
The producer said domestic movie industry should be making more money, warning of rise of OTT services
by George LiaoLee Lieh Lee Lieh (CNA photo)
TAIPEI (Taiwan News) — Film producer Lee Lieh (李烈), who supervised production of the award-winning film “Detention,” said at a media conference in Taipei on Monday (Nov. 25) the country's film industry has the edge because of its highly creative young people, CNA reported.
Lee said that even though “Detention" did well at the box office, the overall value of Taiwan’s film industry was not as good as expected, which is a warning sign, CNA reported. “Detention" won five awards at this year’s Golden Horse Awards.
She said boosting the value of the industry requires more attention. She added the rise of over the top (OTT) media services have transformed the industry, warning that those who do not change with the times will be absorbed by the market.
Even though Taiwan is small in size, it does not lack talented individuals, Lee said. However, she added, the appropriate coordination of various talents is not happening.
While the abundance of creative young people has given Taiwan’s film industry an edge, senior individuals are also useful because they can contribute their experience and judgment, Lee added.


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Event Location:
Microsoft
8000 Avalon Boulevard, Suite 900
Alpharetta, Georgia
Abstract:
As Data is key, visualising said data is even more important. We want our message to be understood with ease, and merely with a couple of glances. Hence making sure the receiving party can do so with ease will be vital to our success. During this session, we'll go through some steps on how to maximise the potential of data visualisations. Starting at choosing the right types of visualisations, and which colour palettes are good matches for your message, we'll also make sure that our designs are as inclusive as we can possibly make them. Wrapping up with a few common use cases, you’ll definitely pick up a few new things to take home with you. Walking out of this session, you can expect to have a decent understanding on a few common design principles for your data visualisations and reports.
Speaker(s): Benni De Jagere,
Abstract:
As companies work to gain insight from ever-increasing amounts of data, data platform practitioners need tools which can scale along with the data. Early big data solutions in the Hadoop ecosystem assumed that data sizes overwhelmed available memory, emphasizing heavy disk usage to coordinate work between nodes. As the cost of memory decreases and the amount of memory available per server increases, we see a shift in the makeup of big data systems, emphasizing heavy memory usage instead of disk. Apache Spark, which focuses on memory-intensive operations, has taken advantage of this hardware shift to become the dominant solution for problems requiring distributed data. In this talk, we will take an introductory look at Apache Spark. We will review where it fits in the Hadoop ecosystem, cover how to get started and some of the basic functional programming concepts needed to understand Spark, and see examples of how we can use Spark to solve issues when analyzing large data sets.
Speaker(s): Kevin Feasel,
Abstract:
In many cases and BI projects, the manual process of development and especially deployment of artefacts led to sleepless nights, emergency hotfixes, grey hair and many hours of stress. Especially in BI development, the usage of database projects, unit testing, version control, continuous integration and deployment is an underrepresented area. Join me in this demo-heavy session where I will guide you through the not-so-frightful jungle of continuous integration using SQL Server database projects, SSIS, T-SQLt and Azure DevOps etc. After this 60 minutes you'll have the guidelines and some ideas how easy it is to change your manual BI development and deployment into a powerful and automated no-brainer that - just works!
Speaker(s): Wolfgang Strasser,
Abstract:
The Microsoft Common Data Service lets you securely store and manage data that's used by business applications. Data within Common Data Service is stored within a set of entities. An entity is a set of records used to store data, similar to how a table stores data within a database. Learn how the CDS ties into Power Automate (Flow), what Triggers and actions are available and how you can use this all.
Speaker(s): David Patrick,
Abstract:
Microsoft Power BI Embedded is a Microsoft Azure that enables developers to integrate Power BI reports into their web or mobile applications so they do not need to build custom solutions to visualize data for the users. Microsoft Power BI Embedded helps Independent Software Vendors to use Power BI data experiences within their applications. Customers, who use applications with Power BI Embedded, do not need to have a Power BI account or to know anything about this Azure service. This session covers the major concepts, related to Power BI Embedded Analytics: - Use-cases - Architecture - Licensing - Application development - Application deployment
Speaker(s): Mihail Mateev,
Abstract:
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. In this presentation, I'll talk about the new products and features that make up Azure Synapse Analytics and how it fits in a modern data warehouse, as well as provide demonstrations.
Speaker(s): James Serra,
Abstract:
We all start using business intelligence tools by using a single dataset, like a flat file. Then, we hit a plateau in our learning curve, or we add a second flat file into our BI product, and we get incorrect results. One reason is that we haven't modeled our solution correctly. In order to move to the next level of our journey along the BI learning curve, we need to understand how a tool like Power BI works. Only then will we understand why we design our data models the way we do. In this session, we will review how tools like Power BI work under the covers and how that impacts the way we construct our data models. This is an introductory level course, so we will not get too technical, just enough to get us to the next level and moving back up that learning curve!
Speaker(s): Michael McKinley,
Abstract:
Do you want to be a Data Engineer in the next step on your career path? Maybe you're just getting started in the rapidly-growing Data Science and Analytics space? Or perhaps you're already doing on-premises analytics and want to take things to the cloud? Then come to this introductory session and see what Azure Databricks can do for you! Azure Databricks provides a cloud-based Apache Spark environment that can be scaled up and out to tackle your big data analytics needs. We'll look at how to set up your first Azure Databricks cluster, how to use shared notebooks in a collaborative environment, and how to leverage the integrated Azure Machine Learning capabilities. We'll also discuss where Azure Databricks fits in the modern cloud data warehouse.
Speaker(s): Chris Hyde,
Abstract:
This is a start to finish session on developing an enterprise analytical database with Analysis Services 2017 (SSAS) Tabular Model. The session will provide an introduction to Analysis Services and why it should be used. The rest of the time will be spent in live demonstrations building an analytical database. The session will start with a blank project and show the steps for data sources and data sets. The data modeling will include relationships and hierarchies. The DAX language will be used to create measures including a Key Performance Indicator. The more advanced examples will include a many to many relationship as well as a slowly changing dimension table. The reporting will be throughout the session using Excel PivotTables/Chart as well as Power BI.
Speaker(s): Thomas LeBlanc,
Abstract:
Administrators and analysts often struggle with the storage and maintenance of reporting and analytics data. Traditional rowstore tables do not scale well when data is measured in billions of rows. Columnstore indexes provide a speedy and convenient way to store OLAP data within SQL Server. Compression allows the data to be much smaller than other storage methods, allowing for faster reads. Column metadata provides the tools needed for SQL Server to be able to service queries over massive data sets quickly and efficiently. The basics of columnstore indexes allow an administrator to improve the performance of analytics, but there is much more to learn! Understanding the internals of columnstore indexes allows querying to be even more efficient. Columnstore indexes have evolved greatly since their introduction in SQL Server 2012. This presentation explores this feature in SQL Server 2017 and SQL Server 2019 and how its newest features can turbo-charge your analytics workloads!
Speaker(s): Edward Pollack,
Abstract:
We've all seen, and probably created, a few tabular models that are just plain slow. For the people just starting with tabular models to those who've been around the block a few times with them, we'll go over some ways in which I've sped up tabular models to be leaner and faster. So join me and learn (or remember) several different things to do with tabular models to make them better for everyone.
Speaker(s): Kevin Wilkie,
Abstract:
Love it or hate it, you just can't ignore DAX, the amazing language of Power BI. In this session, I'll show you it's true power and how knowing it can even make you completely rethink your data models. No more hundreds of columns and weird aggregations in the database. With the Power of DAX, you can now achieve much more sophisticated and powerful calculations, while keeping it simple at its core. I'll show you real-world applications of DAX and lots of tips and tricks that you will be able to use quickly and with little effort!
Speaker(s): Pedro Reis,
Abstract:
The data platform environment is exploding so quickly and as a data platform professional how can you be productive and able to support your environments easily? In this session Warwick will introduce you to Azure Data Studio and take you on a demo rich journey on how, when, where and why Azure Data Studio can make your life easier in supporting your ever expanding data estate. If you have not heard of or seen Azure Data Studio before, Warwick will introduce the tool, it’s history and introduce you to its continual enhancements to assist you.
Speaker(s): Warwick Rudd,
Abstract:
Learn why Microsoft Power BI is taking market share in the enterprise reporting tools area. The desktop designer is an easy to use application that can mash up data from various sources and create visual reports that will dazzle your users. Under the hood, the M-Language mashes up data from various sources into a relational data model; the x-velocity engine stores the data in an efficient column store format; and the DAX language can extend the model when necessary. In short, the Power BI Desktop designer is a one stop place to turn mundane data into dynamic reports.
Speaker(s): John Miner,
Abstract:
Simple tricks are almost always the most efective. Impress your users with some cool visualizations, using these 7 neat techniques: from taking buttons to the next level, through creating animated tooltips or using basic DAX calculations to enhance regular Power BI experience, this session full of demos will walk you through solutions to different use-case scenarios which can be applied in your day-to-day Power BI development.
Speaker(s): Nikola Ilic,
Abstract:
Sorry to break the news but the world is not flat and neither is business data. Data modeling is an essential skill in Power BI design and hard problems require creative solutions. In this session, we will enumerate common challenges and demonstrate modeling techniques to resolve them. Session topics: implementing star and snowflake schema essentials, role-playing tables, many-to-many and bi-directional filters, working without relationships, disconnected lookup tables and calculation groups. We will also discuss the composite models and the future of BI data modeling.
Speaker(s): Paul Turley,
Abstract:
The new composite models in Power BI introduced a new type of relationship cardinality, called many-to-many. Nevertheless, despite their name, they are not many-to-many relationships, they are relationships between tables generated at a different granularity. In this session, we clarify the purpose of the relationships with many-to-many cardinality, highlighting the significant difference with canonical many-to-many relationships. In the meantime, we show how and when to use the different kinds of many-to-many relationships with several practical examples.
Speaker(s): Marco Russo,
Abstract:
In this session we will discuss the high-level goals for a well-governed Power BI environment, and why governance improves user experience when it's approached with user empowerment in mind. Practical and actionable suggestions for improving your Power BI implementation will be shared which you can use right away.
Speaker(s): Melissa Coates,
Abstract:
Power BI was originally released as a fully cloud based, end user targeted data visualization tool. Now it is a powerful, scalable enterprise level BI ecosystem. Microsoft has increased its ability to deal with large volume of data both imported into it and hosted outside the service to implement semantic models. In this session I will demo how to design and implement agg's and take advantage of this powerful feature that will allow you to report on virtually unlimited amount of data.
Speaker(s): Armando Lacerda,
Abstract:
The M language provides to Power Query a very powerful way to develop ETL, way beyond the basic features you know. We can create functions, re-use funcitons, create loops, everything to turn our data transformations easier. During this session you will see many advanced techniques using M and Power Query
Speaker(s): Dennes Torres,
Abstract:
Coming from the Excel world, DAX can look like Excel formulas on steroids. However, to be successful with DAX and Powerpivot, you'll need a completely different mental model. In this introduction to DAX, we won't spend too much time on the basics. Instead, we'll focus the concepts that make DAX unique. This will help you avoid the stumbling blocks of working with DAX. We will cover calculated columns, measures, aggregations, filtering, and iterators.
Speaker(s): Eugene Meidinger,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/in/JamesSerra
Contact: http://www.JamesSerra.com
James Serra is a big data and data warehousing solution architect at Microsoft. He is a thought leader in the use and application of Big Data and advanced analytics. Previously, James was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker. He is the author of the book “Reporting with Microsoft SQL Server 2012”.
LinkedIn: https://www.linkedin.com/in/minerjohn/
Contact: https://www.mssqltips.com/sqlserverauthor/154/john-miner/
John Miner is currently a Data Architect at Insight DI (BlueMetal) advising corporations on how to solve their business needs with data platform solutions. He has over twenty five years of data processing experience, and his architecture expertise encompasses all phases of the software project life cycle, including design, development, implementation, and maintenance of systems. He has an undergraduate and graduate degrees in Computer Science from the University of Rhode Island. Other credentials include an up to date MCSE certificate and currently taking the Data Science program from EDX. Before joining BlueMetal, John won the Data Platform MVP award in 2014 and 2015 for his outstanding contributions to the SQL Server community.
LinkedIn: https://www.linkedin.com/in/nikola-ilic-data-mozart
Contact: https://data-mozart.com
I'm making music from the data! PowerBI and SQLServer addict, MCT, Pluralsight Author, blogger, speaker...Interested in everything related to data - always eager to extract valuable info from raw data in the most effective way. Multi-year experience working with (predominantly) Microsoft Data Platform (SQL Server, SSAS, SSIS, SSRS, and Power BI). Father of 2 and true football (and Barca) fan!
LinkedIn: http://www.linkedin.com/in/sqlbi
Contact: https://www.sqlbi.com/blog/marco
Marco is a Business Intelligence consultant and mentor. He wrote several books about Power BI, Analysis Service, and Power Pivot. He also regularly writes articles and white papers that are available on sqlbi.com. Marco is a Microsoft MVP and an SSAS Maestro, the highest level of certification on Microsoft Analysis Services. Today, Marco focuses his time with SQLBI customers, traveling extensively to train and consult on DAX and data modeling for Power BI and Analysis Services. Marco also teaches public classes worldwide. Marco is a regular speaker at international conferences like Microsoft Ignite, PASS Summit, and SQLBits. He also enjoys delivering evening sessions at local user groups during his trips.
LinkedIn: http://www.linkedin.com/in/davidepatrick
Contact: http://www.madsharepoint.com
Dave has been developing database applications for over 25 years. An MCT since 2001, he has taught many classes from Intro to Visual Interdev to Advanced SharePoint Development. Dave runs two user groups, the Maryland and Pennsylvania Microsoft Developers User Group, www.mapamdug.com, and MAD SharePoint, www.madsharepoint.com. Dave does SharePoint training and development for DSA, Inc., a DoD contractor that does great work for the Army over at Aberdeen Proving Ground. Dave is also an MVP.
LinkedIn: http://www.linkedin.com/pub/mihail-mateev/1/6b3/4b1
Contact: https://mmateev.wordpress.com/
Mihail Mateev is a technical consultant, community enthusiast, PASS Regional Mentor for CEE, chapter lead, Microsoft Azure MVP, Microsoft Regional Director. He works as a Senior Solutions Architect at EPAM Systems, focused on Data Platform, IoT and cloud related solutions. He also worked many years like a Technical evangelist in the Infragistics. Last years Mihail was focused on various areas related to technology Microsoft: Data Platform, Visual Studio, ASP.Net, Windows client apps, Data Platform, and Microsoft Azure. Michael also has a PhD in cloud computing area. He is a university lecturer on Smart Homes and Smart Energy IoT Solutions.
Contact: http://www.sqlgene.com
Eugene Meidinger works as a BI consultant and full time Pluralsight author. He currently focuses on content on Power BI and related products. He also leads the Pittsburgh Power BI User Group. He is certified in querying and administering SQL Server.
LinkedIn: https://www.linkedin.com/in/pedrogoncalvesreis/
Contact: https://www.meetup.com/Power-BI-Portugal
Pedro is a Microsoft BI Stack Professional and enthusiast, with a passion for Power BI, SSAS, Excel and DAX. During his career he has coordinated multiple teams, and the development of thousands of Power BI Reports. He is the Leader of the Power BI Portugal Meetup group and the Porto Power BI User Group and an active Speaker at events like Power Platform World Tour, SQL Saturday, Porto Data, and meetups.
LinkedIn: https://www.linkedin.com/in/bennidejagere/
Contact: https://bennidejagere.com
Benni De Jagere is a Senior Data Insights Consultant at Realdolmen, with a strong focus on the Microsoft (BI) Stack. On a daily basis he turns (large amounts) of coffee into insights for customers, and references witty British comedy way too often. Overly enthusiastic about anything data related, he’s trying hard to keep up with all things new and shiny. Rumour has it that he's also involved with a ragtag band of data enthusiasts, enjoying themselves whilst organising cool community things. They go by the name of .. dataMinds!
LinkedIn: http://www.linkedin.com/in/melissacoatesprofile
Contact: https://www.CoatesDataStrategies/blog
Melissa Coates is a data architect with a background in data warehousing and business intelligence. Her current professional focus is enterprise-level Power BI governance, deployment, security, and administration. As the owner of Coates Data Strategies, Melissa produces training and consults to help companies strengthen and sustain their data-driven initiatives. Melissa is big supporter of the technical community, and has been a Microsoft Data Platform MVP since 2013. You can visit Melissa's website at CoatesDataStrategies.com, which includes community resources like diagrams, blogs, and videos.
LinkedIn: http://www.linkedin.com/in/armando-lacerda
Over 30 years in the computing field as a developer and system integrator; over 20 years working with SQL Server since version 6; cross platform experience with Oracle and IBM SQL/DS and DB2; Microsoft Certified Trainer for over 20 years.
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
LinkedIn: https://www.linkedin.com/in/pturley
Contact: http://www.sqlserverbiblog.com
Paul is a Principal Consultant for Pragmatic Works, a Mentor and Microsoft Data Platform MVP. He consults, writes, speaks, teaches blogs about business intelligence and reporting solutions. He works with companies around the world to model data, visualize and deliver critical information to make informed business decisions; using the Microsoft data platform and business analytics tools. He is a Director of the Oregon Data Community PASS chapter user group, the author and lead author of Professional SQL Server 2016 Reporting Services and 14 other titles from Wrox Microsoft Press. He holds several certifications including MCSE for the Data Platform and BI.
LinkedIn: http://www.linkedin.com/pub/wolfgang-strasser/7b/912/22b
Contact: http://workingondata.wordpress.com/
Wolfgang Strasser creates solutions based on the Microsoft Data Platform tools in his day-to-day job as Business Intelligence consultant. Either using SQL Server Database Engine, SSIS, reporting with SSAS and SSRS, implementing Power BI solutions or cloud tools for data analysis - the data-tools-landscape is broadening every day! Based on his professional careers as a software developer he likes to work on structured development processes. Wolfgang shares his knowledge with the community at many national and international events. For his community work, Wolfgang has been awarded with the Microsoft MVP Award for Data Platform in October 2015
LinkedIn: https://www.linkedin.com/in/michaellmckinley
Contact: https://www.mckinley.consulting/blog
Michael McKinley is the founder of McKinley Consulting. Michael has managed projects and workstreams in consulting for the last five years, in areas including data analytics, change management, operations excellence, and supply chain transformation. Most recently, Mr. McKinley helped HCA build an enterprise-wide analytics model for their Human Resources Group, providing insights into how to retain and promote top talent. He is currently engaged on his fourth project with HCA.
LinkedIn: https://www.linkedin.com/profile/view?id=81593638
Contact: https://www.sqlshack.com/author/edward-pollack/
Ed Pollack has over 20 years of experience in database and systems administration, which has developed his passion for performance optimization, database design, and making things go faster. He has spoken at many SQLSaturdays, 24 Hours of PASS, and PASS Summit. This led him to organize SQLSaturday Albany, which has become an annual event for New York’s Capital Region. Sharing these experiences with the community is a top priority, and encouraging everyone to take the leap into public speaking and engaging others, a passion. In his free time, Ed enjoys video games, traveling, cooking exceptionally spicy foods, and hanging out with his amazing wife and sons.
LinkedIn: http://au.linkedin.com/pub/warwick-rudd/0/956/718
Contact: http://www.sqlmastersconsulting.com.au/Blog
Warwick Rudd is a Data Platform MVP, Microsoft Certified Master, Founder and Principal Consultant at SQL Master Consulting. With 20+ years of experience beginning with the release of SQL Server 6.5, he has worked in both Australia and England from small start-ups to Multi-National Corporations. He hosts the PASS DBA Fundamentals Downunder Virtual Chapter, Organises the PASS SQL Saturday Brisbane event and has spoken at many SQL Server User Groups SQL Saturday events globally. When not playing with the SQL stack, Warwick likes to get away to the cold and spend time snowboarding.
LinkedIn: http://www.linkedin.com/profile/view?id=29648544amp;trk=hb_tab_pro_top
Contact: http://Thomas-LeBlanc.com
Thomas LeBlanc (Microsoft Data Platform MVP) is a Data Warehouse Architect in Baton Rouge, and uses his 30+ years in IT to develop OLTP systems with normalized databases for high-performing T-SQL and dimensional data marts. Development is done in SSIS, SSAS, SSRS, Power BI, and Excel. As a PASS volunteer, he is past chair of Excel BI and Data Arch VCs and is active in the Baton Rouge Analytics and SQL Server User groups, as well as SQLSaturday in Baton Rouge. You can find his blog at TheSmilingDBA.BlogSpot.com and website at Thomas-LeBlanc.com
LinkedIn: https://www.linkedin.com/in/kevinwilkie
Contact: http://sherpaofdata.com
Kevin has 15+ years experience with SQL Server and has worked with the product since version 6.5, although he remembers with distaste the early versions of the product. He started working with SQL Server as an "Accidental" DBA, and has moved up through the ranks as a SQL Developer, a BI Associate, and Production DBA at various parts of his career. Currently, he works as a Lead Data Analyst spreading the gospel of how great data can be to anyone and everyone who will listen.
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
LinkedIn: https://www.linkedin.com/in/dennestorres/
Contact: https://www.red-gate.com/simple-talk/author/dennes-torres/
Dennes Torres is a Data Platform MVP with more than 25 years of experience in the IT area. He improves Data Platform Architectures and turns data into knowledge. As a Brazilian living in Malta, Dennes works as a software developer and leads the Malta MDP User Group. Having the MCSE Data Platform, Business Intelligence, and Microsoft Certified Trainer (MCT) certifications, Dennes has been in love with database servers since he was introduced to SQL Server 6.5, more years ago than he would like to admit.
The following is a list of sponsors that helped fund the event.


{% extends 'base.html' %} {% block title %}It works!{% endblock %} {% block css %} {% endblock %} {% block content %}
Use your OpenID or local account to sign in. If you don't have an account, you can create a local account below.
Test current user


The select element is used to create a drop-down list for the products you choose.
Thank you for choosing MKN Jewellery we appreciate your support!!!.
© MKN JEWELLERY All Rights Reserved.


Preparation time
less than 30 mins
Cooking time
no cooking required
Serves
20-24
Classic smoked salmon on blinis with soured cream is the perfect partner to a glass of cold champagne.
Use a lemon zester to remove thin strips of zest from the lemon, taking care to avoid the white pith, which tastes bitter. Put the strips to one side.
To dice the salmon, pile up the slices of smoked salmon into a stack. Using a very sharp knife, cut across the stack to give you thin strips. Turn the stack 90 degrees and cut across the strips again so that end up with fine dice. Place into a bowl.
Add the juice of half of the lemon, or more to taste, and season with freshly ground black pepper.
Add the finely chopped shallot and mix well.
To serve, spread a layer of soured cream onto each blini. Place a spoonful of the salmon mixture on top of the soured cream and garnish each with a small sprig of dill and a strip of lemon zest.


#include <usb11spec.h>
Public Attributes | |
| unsigned char | bLength |
| unsigned char | bDescriptorType |
| unsigned short | bcdUSB |
| unsigned char | bDeviceClass |
| unsigned char | bDeviceSubClass |
| unsigned char | bDeviceProtocol |
| unsigned char | bMaxPacketSize0 |
| unsigned short | idVendor |
| unsigned short | idProduct |
| unsigned short | bcdDevice |
| unsigned char | iManufacturer |
| unsigned char | iProduct |
| unsigned char | iSerialNumber |
| unsigned char | bNumConfigurations |
| unsigned char usb_device_descriptor::bLength |
| unsigned char usb_device_descriptor::bDescriptorType |
| unsigned short usb_device_descriptor::bcdUSB |
| unsigned char usb_device_descriptor::bDeviceClass |
| unsigned char usb_device_descriptor::bDeviceSubClass |
| unsigned char usb_device_descriptor::bDeviceProtocol |
| unsigned char usb_device_descriptor::bMaxPacketSize0 |
| unsigned short usb_device_descriptor::idVendor |
| unsigned short usb_device_descriptor::idProduct |
| unsigned short usb_device_descriptor::bcdDevice |
| unsigned char usb_device_descriptor::iManufacturer |
| unsigned char usb_device_descriptor::iProduct |
| unsigned char usb_device_descriptor::iSerialNumber |
| unsigned char usb_device_descriptor::bNumConfigurations |


Recent
Beater
Recent Saber will give you a a Beat Saber playlist of the recent plays of a given ScoreSaber profile.
.bplist
OneClick


Emily is an undergraduate student at UC San Diego, majoring in Economics and minoring in Computer Science and Business.
Redesigning the freshmen experience
Prototype
Product website for UC Innovation, Inc.
SFDC Explorer Website
*Note: Currently not published as product is still in testing stage


We optimize cats!
- enable clicks-and-mortar web services
- innovate leading-edge architectures
- visualize best-of-breed initiatives
- implement sticky portals
- redefine mission-critical experiences
- disintermediate compelling portals
- deploy leading-edge channels
- cultivate dynamic mindshare


| Package | Description |
|---|---|
| com.datastax.driver.core |
The main package for the DataStax Java driver for Cassandra.
|
| com.datastax.driver.core.policies |
Policies that allow to control some of the behavior of the DataStax Java driver for Cassandra.
|
| Modifier and Type | Method and Description |
|---|---|
Host |
ExecutionInfo.getQueriedHost()
Return the Cassandra host that coordinated this query.
|
| Modifier and Type | Method and Description |
|---|---|
Set<Host> |
Metadata.getAllHosts()
Returns the known hosts of this cluster.
|
Collection<Host> |
Session.State.getConnectedHosts()
The hosts to which the session is currently connected (more precisely, at the time
this State has been grabbed).
|
Set<Host> |
Metadata.getReplicas(String keyspace,
ByteBuffer partitionKey)
Returns the set of hosts that are replica for a given partition key.
|
Set<Host> |
Metadata.getReplicas(String keyspace,
TokenRange range)
Returns the set of hosts that are replica for a given token range.
|
List<Host> |
ExecutionInfo.getTriedHosts()
The list of tried hosts for this query.
|
| Modifier and Type | Method and Description |
|---|---|
int |
Session.State.getInFlightQueries(Host host)
The number of queries that are currently being executed through a given host.
|
long |
PerHostPercentileTracker.getLatencyAtPercentile(Host host,
double percentile)
Returns the request latency for a host at a given percentile.
|
int |
Session.State.getOpenConnections(Host host)
The number of open connections to a given host.
|
Set<TokenRange> |
Metadata.getTokenRanges(String keyspace,
Host host)
Returns the token ranges that are replicated on the given host, for the given
keyspace.
|
int |
Session.State.getTrashedConnections(Host host)
The number of "trashed" connections to a given host.
|
protected void |
QueryLogger.maybeLogErrorQuery(Host host,
Statement statement,
Exception exception,
long latencyMs) |
protected abstract void |
QueryLogger.maybeLogNormalOrSlowQuery(Host host,
Statement statement,
long latencyMs) |
protected void |
QueryLogger.ConstantThresholdQueryLogger.maybeLogNormalOrSlowQuery(Host host,
Statement statement,
long latencyMs) |
protected void |
QueryLogger.DynamicThresholdQueryLogger.maybeLogNormalOrSlowQuery(Host host,
Statement statement,
long latencyMs) |
protected void |
QueryLogger.maybeLogNormalQuery(Host host,
Statement statement,
long latencyMs) |
protected void |
QueryLogger.ConstantThresholdQueryLogger.maybeLogSlowQuery(Host host,
Statement statement,
long latencyMs) |
protected void |
QueryLogger.DynamicThresholdQueryLogger.maybeLogSlowQuery(Host host,
Statement statement,
long latencyMs,
long threshold) |
void |
Host.StateListener.onAdd(Host host)
Called when a new node is added to the cluster.
|
void |
Host.StateListener.onDown(Host host)
Called when a node is determined to be down.
|
void |
Host.StateListener.onRemove(Host host)
Called when a node is removed from the cluster.
|
void |
Host.StateListener.onUp(Host host)
Called when a node is determined to be up.
|
void |
PoolingOptions.refreshConnectedHost(Host host)
Requests the driver to re-evaluate the
HostDistance for a given node. |
void |
QueryLogger.update(Host host,
Statement statement,
Exception exception,
long newLatencyNanos)
A method that is called after each request to a Cassandra node with
the duration of that operation.
|
void |
PerHostPercentileTracker.update(Host host,
Statement statement,
Exception exception,
long newLatencyNanos) |
void |
LatencyTracker.update(Host host,
Statement statement,
Exception exception,
long newLatencyNanos)
A method that is called after each request to a Cassandra node with
the duration of that operation.
|
| Modifier and Type | Method and Description |
|---|---|
Map<Host,LatencyAwarePolicy.Snapshot.Stats> |
LatencyAwarePolicy.Snapshot.getAllStats()
A map with the stats for all hosts tracked by the
LatencyAwarePolicy at the time of the snapshot. |
Iterator<Host> |
TokenAwarePolicy.newQueryPlan(String loggedKeyspace,
Statement statement)
Returns the hosts to use for a new query.
|
Iterator<Host> |
RoundRobinPolicy.newQueryPlan(String loggedKeyspace,
Statement statement)
Returns the hosts to use for a new query.
|
Iterator<Host> |
LoadBalancingPolicy.newQueryPlan(String loggedKeyspace,
Statement statement)
Returns the hosts to use for a new query.
|
Iterator<Host> |
LatencyAwarePolicy.newQueryPlan(String loggedKeyspace,
Statement statement)
Returns the hosts to use for a new query.
|
Iterator<Host> |
HostFilterPolicy.newQueryPlan(String loggedKeyspace,
Statement statement)
Returns the hosts to use for a new query.
|
Iterator<Host> |
DCAwareRoundRobinPolicy.newQueryPlan(String loggedKeyspace,
Statement statement)
Returns the hosts to use for a new query.
|
| Modifier and Type | Method and Description |
|---|---|
HostDistance |
TokenAwarePolicy.distance(Host host)
Return the HostDistance for the provided host.
|
HostDistance |
RoundRobinPolicy.distance(Host host)
Return the HostDistance for the provided host.
|
HostDistance |
LoadBalancingPolicy.distance(Host host)
Returns the distance assigned by this policy to the provided host.
|
HostDistance |
LatencyAwarePolicy.distance(Host host)
Returns the HostDistance for the provided host.
|
HostDistance |
HostFilterPolicy.distance(Host host)
Returns the distance assigned by this policy to the provided host.
|
HostDistance |
DCAwareRoundRobinPolicy.distance(Host host)
Return the HostDistance for the provided host.
|
LatencyAwarePolicy.Snapshot.Stats |
LatencyAwarePolicy.Snapshot.getStats(Host host)
The
Stats object for a given host. |
long |
SpeculativeExecutionPolicy.SpeculativeExecutionPlan.nextExecution(Host lastQueried)
Returns the time before the next speculative query.
|
void |
TokenAwarePolicy.onAdd(Host host) |
void |
RoundRobinPolicy.onAdd(Host host) |
void |
LoadBalancingPolicy.onAdd(Host host)
Called when a new node is added to the cluster.
|
void |
LatencyAwarePolicy.onAdd(Host host) |
void |
HostFilterPolicy.onAdd(Host host) |
void |
DCAwareRoundRobinPolicy.onAdd(Host host) |
void |
TokenAwarePolicy.onDown(Host host) |
void |
RoundRobinPolicy.onDown(Host host) |
void |
LoadBalancingPolicy.onDown(Host host)
Called when a node is determined to be down.
|
void |
LatencyAwarePolicy.onDown(Host host) |
void |
HostFilterPolicy.onDown(Host host) |
void |
DCAwareRoundRobinPolicy.onDown(Host host) |
void |
TokenAwarePolicy.onRemove(Host host) |
void |
RoundRobinPolicy.onRemove(Host host) |
void |
LoadBalancingPolicy.onRemove(Host host)
Called when a node is removed from the cluster.
|
void |
LatencyAwarePolicy.onRemove(Host host) |
void |
HostFilterPolicy.onRemove(Host host) |
void |
DCAwareRoundRobinPolicy.onRemove(Host host) |
void |
TokenAwarePolicy.onUp(Host host) |
void |
RoundRobinPolicy.onUp(Host host) |
void |
LoadBalancingPolicy.onUp(Host host)
Called when a node is determined to be up.
|
void |
LatencyAwarePolicy.onUp(Host host) |
void |
HostFilterPolicy.onUp(Host host) |
void |
DCAwareRoundRobinPolicy.onUp(Host host) |
| Modifier and Type | Method and Description |
|---|---|
void |
TokenAwarePolicy.init(Cluster cluster,
Collection<Host> hosts) |
void |
RoundRobinPolicy.init(Cluster cluster,
Collection<Host> hosts) |
void |
LoadBalancingPolicy.init(Cluster cluster,
Collection<Host> hosts)
Initialize this load balancing policy.
|
void |
LatencyAwarePolicy.init(Cluster cluster,
Collection<Host> hosts) |
void |
HostFilterPolicy.init(Cluster cluster,
Collection<Host> hosts)
Initialize this load balancing policy.
|
void |
DCAwareRoundRobinPolicy.init(Cluster cluster,
Collection<Host> hosts) |
| Constructor and Description |
|---|
HostFilterPolicy(LoadBalancingPolicy childPolicy,
Predicate<Host> predicate)
Create a new policy that wraps the provided child policy but only "allows" hosts
matching the predicate.
|


Ledlum scores 14 to lead Harvard past Siena 59-56
by EndPlayBOSTON (AP) - Chris Ledlum had 14 points off the bench to lift Harvard to a 59-56 win over Siena on Thursday night.
Justin Bassey had six rebounds for Harvard (3-1). Danilo Djuricic added seven rebounds. Chris Lewis had 11 rebounds and three blocks.
Don Carey had 17 points for the Saints (2-2). Manny Camper added 10 points and eight rebounds.
Jalen Pickett, the Saints' leading scorer coming into the contest at 20 points per game, had four points on 2-of-10 shooting.
Harvard plays Buffalo on Saturday. Siena matches up against Yale on the road on Wednesday.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


Why ECDF is better than a Histogram
January 20, 2019 - Shoaib Khan
If you have never heard of binning bias then you could be using histograms and drawing incorrect conclusions. Please read my original post on Medium and it will help you avoid those mistakes.


|
If you are group administrator or system administrator, you have right to promote common group member to group administrator. Note: A message group can
have multiple group administrators. Select 'Promote Member' on group menu (see figure 3.3.1), screen like figure 3.8.1 will be displayed. All common
members will be listed out, just select the check-box in front of the member(s) you want to promote, and then click the 'Promote' button. If the process
successes, promoted member(s) will be shown on the group member list as 'Group Admin'.
|


Up: Process Topologies
Next: Cartesian Constructor
Previous: Overview of the Functions
Up: Process Topologies
Next: Cartesian Constructor
Previous: Overview of the Functions
Return to MPI 1.1 Standard Index
Return to MPI-2 Standard Index
Return to MPI Forum Home Page
MPI-1.1 of June 12, 1995
HTML Generated on August 6, 1997


Class: atom
http://purl.org/biotop/btl2.owl#Atom
Annotations (2)
-
definition "Basic building block of molecules. Particle of discrete types. Biologically important atoms are C, N, H, O, P, S, Na, Ca, K, Mg, Cl, J, Fe, Co, Zn ,... Atoms may be electrically neutral or ionic." ()
-
label "atom" ()
Superclasses (1)
Disjoints (2)
Usage (3)


Here you can see which character fits you the most.
Do you prefer male or female?
What do you like to do in your free time?
What type of music do you like?
Do you like to sing?
What is your self defense?
If you can pick one superpower, what would it be?


;
My Awesome List (busy refactoring)
Content
Awesome Lists
Interviews
Scalability
Awesome Lists
Scalability
Interviews
“What Happens When… and How” Questions
What Happens When You Type google.com into Browser and Press Enter?
Scalability
Microservices and Orchestration
Microservices Resource Guide - Martin Fowler


You are not authorized to access this page.
{% if auth_failure == 'provisioner' %} Only UW employees may provision services to others. {% elif auth_failure == 'provisionee' %} Only the provisioned netid can view the acceptance link. {% endif %}{{ auth_failure_reason }}


HEAD ======= >>>>>>> upstream/master <<<<<<< HEAD ======= >>>>>>> upstream/master <<<<<<< HEAD ======= >>>>>>> upstream/master
Depthy shows Google Camera Lens Blur photos with 3D parallax effect and creates animated GIFs from them. Plus extracts the depth map and enables you to create your own!
Unfortunately your browser is not supported.
Use something newer, like Chrome for example.


No.
Full Name
Position
Salary
Type
1
Bill Gates
Founder Microsoft
$1000
Company Founder
2
Steve Jobs
Founder Apple
$1200
3
Larry Page
Founder Google
$1100
4
Mark Zuckeberg
Founder Facebook
$1300
Total Expense:
$4600


This is my first D3 Example!
Here's my first paragraph.
Here are some reasons why D3 is cool:
- Makes data more engaging
- Has built-in math helpers
- Supports graph animations
- Makes drawing graph axes a breeze
Here's an outer div
Here's an inner div
Here's the last div


Why Pipeline?
#
What is Pipeline UI?Pipeline UI is a ready-to-use library to rapidly add standardized Algorand functional components to your React apps.
#
Why we created it?Algorand, and blockchains in general, are powerful technologies that have not seen widespread integration for everyday purposes on existing websites. Pipeline UI aims to make blockchain integration on websites seamless and ubiquitous.
#
What are the differences with other blockchain libraries?Pipeline UI reduces the amount of time it takes to integrate Algorand features into existing websites.
Features:
- Standardized design theming
- Hard-coded transaction and blockchain API components
- Built in QR code generators
- ..and many other features in the works!
All of these features make Smooth DOC the most advanced documentation system.


English
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Register
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Mailbox
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Mobile Phone Number
+92
Login Password
Confirm Login Password
Create 6 Digit Pin Code
Confirm 6 Digit Pin Code
OTP Verification
REQUEST OTP
I agree to the
Terms of Use
Sign Up
Already have an account?
Sign In


Talon Noise Project
Introduction
Thank you for contributing to the Talon Noise Project. We are collecting
recordings to train a deep neural network for
Talon. It will recognize
sounds such as clicks, pops, and hisses and allow controlling a computer
using only a microphone.
Demo video with pop noise and eye tracking
Join the #noise chat for help or more info: Join Slack
Contributing
Note that it takes around 25 minutes to record all the sounds. This page will remember your progress if you close it and come back later.
-
Pick a sound to record. You can start with hiss, which
is the first sound.
-
Read the sound's instructions and listen to the example recording.
-
When you think you are ready to record the sound, press the round
Record button.
-
After pressing Record, wait for
about one second, then make the sound 5-10 times to your comfort, pausing
about one second between each time you make the sound.
-
When you are done recording, press the square
Stop button. The sequence will look
like this:
press Record → wait →
make sound → wait → make sound → ... → press
Stop
-
You can then select another sound from the list and repeat the process.
-
If you finish recording all of the sounds, feel free to go back and record
more samples at any time.
-
These sounds will be used to train a neural network. More recordings as
well as different voices, microphones, and environments will help the
training.
More information about the sounds
can be found here.
If you have questions or comments, join the
Talon Slack
and ask in the #noise channel.
Content Licensing
By using this website, you agree to license all uploaded recordings under
the
CC0 license. This means:
-
Your recordings will be collected as part of a larger anonymized dataset
of sound files.
-
This dataset may be published under a permissive license.
-
This dataset will be used to train a neural network.


Life Started
I Started My Schooling At Imax nursery and primary School.
Something About Me!!!
I Started My Schooling At Imax nursery and primary School.
It Was Really My Best Moments I ever Get That Life Again Missing Alottt!!.
Studied A course For world And Akirah And Sucessfully Completed
Here Iam Studying BE In Computer Science Engineering.


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There was a problem with your network connection.
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A problem has been occurred while submitting your data.
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Note!
Please read the comments carefully.


{% extends 'layouts/base.html' %} {% block title %}Terms of Service{% endblock %} {% block body %}
By using the Snake Eyes ("service"), you are agreeing to be bound by the following terms and conditions ("terms of service").
Snake Eyes, LLC ("company") reserves the right to update and change these terms of service without notice.
Violation of any of the terms below may result in the termination of your account.
You are responsible for maintaining the security of your account and password. The company cannot and will not be liable for any loss or damage from your failure to comply with this security obligation.
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You may not use the service for any illegal purpose or to violate any laws in your jurisdiction (including but not limited to copyright laws).
You must provide your legal full name, a valid email address, and any other information requested in order to complete the optional paid membership signup process.
Your login may only be used by one person — a single login shared by multiple people is not permitted. You may create separate logins for as many people as you'd like.
You must be a human. Accounts registered by "bots" or other automated methods are not permitted.
The service is offered for free with an option to sign up for more features with a free trial. Once that trial is up, you will only be able to continue using that plan's features by paying in advance for additional usage. If you fail to pay for additional usage, your account will be downgraded until payment is made.
For any upgrade or downgrade in plan level, will result in the new rate being charged at the next billing cycle. There will be no prorating for downgrades in between billing cycles.
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If you cancel the service before the end of your current paid up month, your cancellation will take effect immediately, and you will not be charged again. But there will not be any prorating of unused time in the last billing cycle.
The company, in its sole discretion, has the right to suspend or terminate your account and refuse any and all current or future use of the service for any reason at any time. Such termination of the service will result in the deactivation or deletion of your account or your access to your account, and the forfeiture and relinquishment of all content in your account. The company reserves the right to refuse service to anyone for any reason at any time.
The company reserves the right at any time and from time to time to modify or discontinue, temporarily or permanently, any part of the service with or without notice.
Prices of all services are subject to change upon 30 days notice from us. Such notice may be provided at any time by posting the changes to the company's site or the service itself.
The company shall not be liable to you or to any third party for any modification, price change, suspension or discontinuance of the service.
All content posted on the service must comply with U.S. copyright law.
We claim no intellectual property rights over the material you provide to the service. All materials uploaded remain yours.
The company does not pre-screen content, but reserves the right (but not the obligation) in their sole discretion to refuse or remove any content that is available via the service.
The look and feel of the service is copyright © Snake Eyes, LLC. All rights reserved. You may not duplicate, copy, or reuse any portion of the HTML, CSS, JavaScript, or visual design elements without express written permission from the company.
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Technical support is only provided via email.
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The company does not warrant that (i) the service will meet your specific requirements, (ii) the service will be uninterrupted, timely, secure, or error-free, (iii) the results that may be obtained from the use of the service will be accurate or reliable, (iv) the quality of any products, services, information, or other material purchased or obtained by you through the service will meet your expectations, and (v) any errors in the service will be corrected.
You expressly understand and agree that the company shall not be liable for any direct, indirect, incidental, special, consequential or exemplary damages, including but not limited to, damages for loss of profits, goodwill, use, data or other intangible losses (even if the company has been advised of the possibility of such damages), resulting from: (i) the use or the inability to use the service; (ii) the cost of procurement of substitute goods and services resulting from any goods, data, information or services purchased or obtained or messages received or transactions entered into through or from the service; (iii) unauthorized access to or alteration of your transmissions or data; (iv) statements or conduct of any third party on the service; (v) or any other matter relating to the service.
The failure of the company to exercise or enforce any right or provision of the terms of service shall not constitute a waiver of such right or provision. The terms of service constitutes the entire agreement between you and the company and govern your use of the service, super-ceding any prior agreements between you and the company (including, but not limited to, any prior versions of the terms of service).
Questions about the terms of service should be sent to<EMAIL_ADDRESS>Any new features that augment or enhance the current service, including the release of new tools and resources, shall be subject to the terms of service. Continued use of the service after any such changes shall constitute your consent to such changes.
Last updated April 1st 2042


[§46-179] Fees and costs of litigation. A county shall not be liable for expenses or fees, including attorney fees, that a person incurs in bringing an action under this part and shall not elect to pay those expenses or fees. [L 2001, c 227, pt of §1]


Introduction
This is the post explaining my fourth/fifth work terms at Arctic Wolf Networks in Waterloo. This was my second time working at Arctic Wolf, and my second time working as a developer. I grew lots as a developer throughout this work term.
Employer Info
Arctic Wolf Networks is Cyber Security company that offers SOC (Security Operations Center) as a Service. They collect logs, packets, and other data, analyze this data and then provide it to a Security Engineer to take a look at. They are currently a company of ~500 people but are quickly growing. All of R&D is based out of Waterloo, but they also have employees in California, Utah, and in Minnesota.
Job Description
I was hired as a software developer and was placed on the 'Detection Infrastructure' team called 'The Watchers on the Wall'. My duties involved maintaining our parsers, improving our data enrichment, and creating infrastructure for other teams.
The start of the term went smoothly, and onboarding took only a few days as I had done the onboarding before. I got to start with a Golang project which was really enjoyable. Golang is a language I was very interested in learning and becoming comfortable with, and I was super thankful for the opportunity to use it in a professional environment. I sped up our Golang microservice by adding a cache on top of the database that backed the service. Efficiency of the service improved by 100% after adding the cache. It felt great to get that project done and seeing the amazing improvements.
The second part of my work term was working on improving the infrastructure that my team maintains for other teams. This involved talking to other teams, deciding what was important and what wasn't, creating a plan and a timeline for the plan. This was the first project I was in charge of as a co-op and it was really fulfilling to see a project through from start to finish. The feedback was also awesome as the teams who used the service were all super happy about the improvements I made. It felt like I was actually making an impact and what I was doing was important which is a great feeling as a co-op.
The final big project I worked on was removing an obsolete part of the code base and removing a big pain point for developers throughout the company. We worked as a team to remove a slow area of our testing code by removing a VM that wasn't required anymore. There was joy throughout the company when we finally got it removed as it was a huge pain point with developers everywhere.
Overall, I enjoyed the work term and learned a lot. I loved learning Go and having real projects that took a few weeks to finish. I would love to come back to Arctic Wolf in the future and continue to learn.
Goals
For this work term, I had 3 main goals I wished to accomplish. My first goal was to become more comfortable and proficient in Golang. My second goal was to more thoughroughly understand and become confident with AWS. My final goal was to learn to when to ask questions when I am stuck versus working through it myself.
My first goal for the term was to become more comfortable and proficient in Golang. To accomplish this goal, I made sure to ask my team lead for the opportunity to use Golang at some point in the term. I was given the opportunity to use Golang for a microservice my team was creating. I got the opportunity to add a cache to the database backing the microservice, greatly improving efficiency of the service. This was my first real experience with Golang and it was a great learning experience. I feel much more comfortable with Golang after this experience and have begun using it for my own personal projects. Overall, I feel like I achieved this goal.
My second goal for the work term was to more thoughroughly understand and become confident with AWS. Arctic Wolf relies heavily on AWS to deliver its service. In my first work term at Arctic Wolf, I didn't really get to use AWS, though it seemed really interesting. This term, I got to use AWS as I helped create a canary service for some of our services. I also helped with our scaling of some services. I felt much more comfortable navigating and using AWS through the term as I continued to learn and use different AWS services. Overall I feel like I achieved this goal and much more comfortable using AWS.
My final goal for the term was to learn when to ask questions versus solving the problem myself. This has been an issue for me in the past, as I would often sit at my desk stuck on a problem for days because I felt like I should be able to solve it, when it could have only taken 5 minutes if I had asked a question sooner. This term I went out of my way to really think about when to ask for assistance versus when to solve the problem myself, and I feel like I did this effectively. Everyone on my team was impressed by how quickly I was getting things done due to me figuring out when to ask questions. I am happy to say that I accomplished this goal, and it greatly helped me throughout the term.
Conclusion
Arctic Wolf Networks was my second development based co-op and I learned so much from it. Everyone on the team was nice and super supportive and really helped me along my way. Arctic Wolf as a company is amazing, full of really smart, nice people. The culture is incredible, the managers are amazing and the office space is really nice. I am hoping to cross paths with Arctic Wolf again, and continuing to learn all about new technologies.
Acknowledgments
To begin, I'd like to thank everyone on the team I worked for. The team was very friendly and supportive as I came up to speed and made me feel welcome.
I'd like to thank my team lead Dan who helped me come up to speed and feel welcome. Dan was an amazing team lead and I would love to work under him again. He treated me as a full-time member of Arctic Wolf and really helped me feel as though I made a difference.
I'd also like to thank Chris who was my mentor at the beginning of the term. Chris was super helpful and always had the answers to every question I had. He was always able to help me understand very complex systems and get me up to speed quickly.
Finally, I'd like to thank Ray who took a chance and offered me a job on his team for the Winter and Summer. I had an amazing time working on the team and learned so much through this experience.


--- layout: page title: Talk to me excerpt: "My bot" search_omit: true ---
Find out more about me, chat with me by clicking on the button on the lower right of this site. Enjoy the conversation with me and let me know what you think!


Erinn R Koerner
Unafffiliated
I am employed by both Young Life as a Digital Project Coordinator and by Moxie Tonic Marketing as the Senior Web Design Manager. I am also a volunteer mentor for Young Lives (this is a support and Christian ministry group for Colorado Teen Moms).
I graduated (with honors) from Rutgers University in New Jersey. I received my bachelor's with a major in English and a minor in History. I have been granted my "PMP" - a masters-level certification in Project Mgmt.
80809
I do not have any official experience. But I am passionate about all those things!
I donated while in college to Rand Paul's campaign - I believe it was $15. This is the only time I have donated or participated in a specific campaign.
I have volunteered with Younglife as both a mentor and volunteer coordinator for the YoungLives section of the ministry.
I represent an under-served segment of our population...I am younger than 60 and not male. I believe in Colorado and in democracy and want to be part of the solutions.
As a project manager by trade, my daily bread-and-butter is consensus. Projects cannot be accomplished in a vacuum. We never leave our hopes, dreams, fears, or political beliefs at the door. BUT that is great! I hope to encourage an honest conversation where all have the right to be heard. And then live by the reality that we are under a deadline that must be met...which means an impartial choice must be made.
I am a project manager...and more importantly...the mother of a three-year-old. Aside from that (which should convince anyone...) I bring a sense of humor to all I do. I am able to create and maintain long-term relationships as demonstrated by my work history and my marriage (we have been together since we were in the 8th grade!). I love this country and would love the opportunity to serve.
Female


I love it!
Can i go home now? I have a family


### Batch Effects are Causal Effects ![:scale 50%](images/neurodata_blue.png) Eric W. Bridgeford | {Biostatistics, BME, CIS}
[ericwb95@gmail.com](mailto:ericwb95 at gmail dot com) |
--- name:talk ### Outline - [Motivation](#defn) - [Estimating Batch Effects](#statistics) - [Removing Batch Effects](#remove) - [Real Data](#results) - [Discussion](#disc) --- name:defn ### Outline - Motivation - [Estimating Batch Effects](#statistics) - [Removing Batch Effects](#remove) - [Real Data](#results) - [Discussion](#disc) --- ### Modern neuroimaging data - Neuroimaging data is big and costly - Expansive mega-studies collected globally - Unprecedented sample diversity (demographically) and sizes -- --- ### Sources of variability are not well understood - Batch Effect: the impact of the data collection procedure (measurement device, measurement protocol, season, etc.) on the data collected - Demographic Effects: impact on the data of scientifically "interesting" characteristics of the object under study - Site Effect = Demographic Effects + Batch effects --- ### Batch effects are confounded by demographic effects - Difficult to parse site effects into the components due to batch - We want to
mitigate batch effects
while .ye[preserving demographic effects] - Approaches which properly isolate the batch effect while deconfound the demographic effect are lacking --- ### How do we address batch effects? - Skip to correction (e.g., SVA, ComBat, etc.)? - Focus on estimation with linear models? Proposal: leverage techniques from .ye[causal inference] to yield strategies which are both theoretically and empirically sensible for batch effect analyses --- name:statistics ### Outline - [Motivation](#defn) - Estimating Batch Effects - [Removing Batch Effects](#remove) - [Real Data](#results) - [Discussion](#disc) --- ### General Notation | Symbol | Interpretation | | --- | --- | | $Y$ | random variable | | $y$ | realization of random variable $Y$ | | $f(y)$ | distribution of $Y$ evaluated at $y$ | | $f(y\vert x)$ | distribution of $Y$ at $y$, conditional on $X$ at $x$ | --- ### Specific Notation | Symbol | Interpretation | | --- | --- | | $Y$ | outcome measurement (measured) | | $T$ | exposure (batch) | | $X$ | covariates (measured) | | $Z$ | covariates (unmeasured) | --- ### Causal Batch Effect - $f_{x,z}(y|t)$: the true outcome, conditioned on the exposure, averaged over measured .ye[and] unmeasured covariates $$\forall t \in [K]: \;\;\;\; f_{x,z}(y|t) = \int f(y|t,x,z) f(x,z) \;d(x,z)$$ - Causal Effects are .ye[functions] of the set $\\{f_{x,z}(y|t)\\}_t$ - Causal Batch Effect: $$f\_{x,z}(y|t) \neq f\_{x,z}(y|t')$$ --- #### Causality is "easier" if we know everything .ye[impactful]
- conditioning on measured/"observed" covariates sufficient to establish causality --- ### Causality and fear of the unknown(s)
- assumptions (potentially .ye[completely unreasonable]) needed to proceed --- ### Typical neuroimaging covariates are much more complicated
--- ### Confounding is the enemy
- If we can address the confounding, we can obtain unbiased causal estimates --- ### Associational Effect - Observe $\left(y_i, t_i\right)$ for all $i \in [n]$ - $f(y|t)$: distribution of outcome, conditional on batch $$f(y|t) \neq f(y|t')$$ - estimated with $\texttt{dcorr}$ -- - Causal if measured and unmeasured covariates ($X$ and $Z$) are non-confounding - If batches differ on demographics, for example, then not causal --- ### Conditional Effect - Observe $\left(y_i, t_i, x_i\right)$ for all $i \in [n]$ - $f(y|t,x)$: distribution of outcome, conditional on batch and measured covariates $$f(y|t,x) \neq f(y|t',x)$$ - estimated with conditional $\texttt{dcorr}$ -- Causal if .ye[strong ignorability] holds 1. Exposure $T$ independent of the outcome $Y$, conditional on covariates $X$ and $Z$ 2. Covariate distributions overlap (propensity overlap) --- ### Adjusted Effect - Observe $\left(y_i, t_i, x_i\right)$ for all $i \in [n]$ - Adjust samples such that the propensities are equal, yielding adjusted conditional distributions $\tilde f(y|t,x)$ - Solves the issue of covariate overlap from the conditional effect $$\tilde f(y|t,x) \neq \tilde f(y|t',x)$$ - estimated with .ye[matched] conditional $\texttt{dcorr}$ -- - Still requires exposure $T$ independent of the outcome $Y$, conditional on covariates $X$ and $Z$ --- ### Causal Crossover Effect - Observe $\left(y_i^{(t)}, t, x_i^{(t)}\right)$ for all $t \in [K], i \in [n]$ - $f\left(y^{(t)}\big|t,x^{(t)}\right)$: distribution of outcome at exposure $t$, conditional on exposure $t$ and covariates at $t$ $$f\left(y^{(t)}\big|t,x^{(t)}\right) \neq f\left(y^{(t')}\big|t',x^{(t')}\right)$$ - estimated with $\texttt{dcorr}$ -- - Traits/histories are constant to individuals, and therefore perfectly balanced across both groups -- - States may be different, as they are functions of location & time - Causal if no unmeasured confounding states --- ### Crossover design removes .ye[most] confounding
--- name:remove ### Outline - [Motivation](#defn) - [Estimating Batch Effects](#statistics) - Removing Batch Effects - [Real Data](#results) - [Discussion](#disc) --- ### Limitations of Existing Approaches for Site Effect Removal - Existing techniques ignore the .ye[strong ignorability criterion], and therefore, do not provide valid causal estimands under reasonable assumptions - ComBat, Conditional ComBat, Z-Scoring, etc. may remove demographic signal --- ### Causal ComBat Given $K$ datasets: -- 1. Identify smallest dataset, $k'$, as the exposure -- 2. Match individuals from unexposed datasets $k\neq k'$ to the exposure individuals -- 3. Discard individuals from exposed dataset who do not have matches across all unexposed datasets -- 4. Discard individuals from unexposed datasets who are not matched to retained exposed individuals -- 5. Perform Conditional ComBat on retained exposed and unexposed individuals -- Causal if exposure $T$ independent of the outcome $Y$, conditional on covariates $X$ and $Z$ --- name:results ### Outline - [Motivation](#defn) - [Estimating Batch Effects](#statistics) - [Removing Batch Effects](#remove) - Real Data - [Discussion](#disc) --- ### CoRR mega-study
--- ### Connectomes from CoRR mega-study
- disparity across young/old, male/female - homotopic effect --- class: split-60 ### Associational & conditional effects always exist .column[
] .column[ - Unclear whether effect detected is due to a batch effect or a demographic effect ] --- class: split-60 ### Causal effects only sometimes estimable (due to overlap) .column[
] .column[ - most datasets cannot even be run with matched partial dcorr - we .ye[cannot determine] for most effects whether the effect is due to batch or demographic ] --- ### Does matching actually improve covariate overlap? - The goal of the matching procedure for Causal DCorr/ComBat is to produce .ye[subsets] of datasets which are demographically .ye[similar] - Does it actually do the job? - How to quantify: "AUC" of two distributions
--- ### Estimating covariate overlap - let $\mathcal D$ represent the triplet of possible (continent, sex, age) pairings across the datasets - $f(c,s,a|k)$ is the .ye[demographic distribution] for dataset $k$ - an estimate of the .ye[covariate overlap] between datasets $k$ and $l$ is: $$\text{overlap}\_{k, l} = \int_{(c, s, a) \in \mathcal D} \min\left(\hat f(c, s, a | k), \hat f(c,s,a| l)\right)\text{d}(c,s,a)$$ ---
--- ### Does using causality actually give us a different answer? - If we use Causal ComBat instead of Conditional ComBat, do we actually end up with different answers for statistical inference? - for each edge of the connectome, investigate whether there is a sex effect (conditional on age) across individuals - If leveraging causality is irrelevant, we would expect similar statistical inference for the chosen task --- ### Restricting to the American Clique - Causal ComBat can only be performed on the American Clique, the matched subset of individuals with similar demographic variables from $5$ of the CoRR datasets - If we subset the Conditional ComBat corrected connectomes to the same individuals, do we obtain the same answer? | Raw | ComBat | Cond. ComBat | Causal ComBat | | --- | --- | --- | --- |
-- - Not quite... many more significant edges for Causal ComBat --- ### What if we don't subset at .ye[all]? - Since we had to "throw away" data to use Causal ComBat, what if we hadn't thrown away data at all? - Note: Causal ComBat cannot be run on all of the data (due to lack of covariate overlap)
-- - There are more significant edges, but are they the .ye[same] significant edges? --- ### Causal ComBat produces disparate statistical inference - for each batch effect removal strategy, identify the top $n$ edges (by effect size), and compare to the top $n$ edges produced by Causal ComBat - DICE of $1$: top edges are in perfect agreement, DICE of $0$: edges have no overlap
--- ### Causal ComBat produces disparate statistical inference - Internal vs. external validity conflict -- - "We exchange a (potentially) fake 10 dollar bill for a real 5 dollar bill" --- name:disc ### Outline - [Motivation](#defn) - [Estimating Batch Effects](#statistics) - [Removing Batch Effects](#remove) - [Real Data](#results) - Discussion --- ### Contributions 1. Define batch effects as a problem in causal inference -- 2. Illustrate existing analyses of batch effects in neuroimaging amount to associational or conditional effects, and inadequately account for confounding -- 3. Show how batch effects can be estimated and tested on multivariate, non-euclidean batches using kernel methods -- 4. Provide an approach for batch effect correction that pays attention to confounding biases in the data -- 5. Showed that Causal ComBat produces different statistical inference from competing techniques, potentially drawing questions about statistical validity in neuroimaging --- ### Acknowledgements
Eric Bridgeford
Brian Caffo
Mike Powell
Anton Alyakin
Michael Milham
yummy
lion
baby girl
family
earth
milkyway
- [Code](https://github.com/neurodata/batch_effects) - Questions?


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This site is best viewed in Microsoft Internet Explorer in 1024x768 resolution, but that's only because that's the way I see it when designing my page. Most other resolutions and/or browsers should work. I use browser-friendly tags, so if something looks funny on your browser, lemme know what browser you're using and what looks hosed up and I'll try to fix it.
This site can always be found at http://knetmon.cjb.net no matter where it moves, so please bookmark http://knetmon.cjb.net instead of the URL listed above.
Latest news update:
Kamek version 1.4 is now available! Get him from the MUGEN page.
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Fixed a few broken links, most notably the Sonic 2 Beta download.
Shin Ryoga has released the first beta of Super Mario, and this character looks great. Check out the screenshots at the Mugen Page, then follow the links to visit Shin Ryoga's website.
There will be a new version of Kamek... sometime... soon... hopefully... maybe... perhaps... dunno... we'll see...
Oh yeah, I switched to a new ISP. Namely, my own computer. Enjoy the lack of advertising :) If you have problems (too slow, 404 errors, etc.), email me and let me know...
Pocket Athena by LimitedMoon added to the MUGEN page.
Added my first Pokemon TCG Fake Card creations. Also, be on the lookout towards the end of this weekend for a playable beta version of Road Runner, my second creation, and I'll try to throw in a Kamek update as well. Bowser has been placed on temporary hold. Also, I've decided to go ahead and work on Shadow Roll in the future, I've got some ideas for her to make her unique and fun to play.
Sonic 2 Beta HPZ updated, and Ryu-X Final version uploaded.
No big update today, but here's a sneak peek at what's coming. A new version of Kamek will be released this weekend, along with an updated version of the Sonic 2 Beta Hidden Palace Zone, co-programmed by Kyo and myself. The Forums will be receiving a facelift soon. I'll be going back to the old, bright color scheme. New link added to Links page.
Kamek 1.3 released.
Kamek 1.2 and Sonic 2 Beta Hidden Palace Zone stage released.
Search for better ISP and web host continues.
I've finally updated the latest versions of Onslaught and Ken-X, as well as a new version of Kamek! Check out the MUGEN page.
Happy New Year, and welcome to the (real) new millenium. MUGEN page updated, enjoy the new format!
New version of Kamek forthcoming, with at least one Fatality...
50megs.com is giving me problems so I temporarily moved to GeoCities. Report to me any broken links.
Merry Christmas! Kamek version 1.0 available on the MUGEN page.
Kamek updated to version 0.7! Slowly but surely approaching the 100% release! Also added the Super Smash Brothers Sound Pack for MUGEN! If you're an SSB fan, grab it! Ryulee removed from site after it was discovered that the credited author was not the real author. See the MUGEN page for details.
Ryu-X Version 4, Ken-X, and Ryulee posted on the MUGEN page. Onslaught updated to version 0.8.
Update posted to OnslaughtX's Onslaught.
Added MUGEN forums to Kamek's Message Board. Please feel free to post!
I'm now hosting Onslaught for MUGEN by OnslaughtX. Grab him at the MUGEN page.
Kamek version 0.6 is available on the MUGEN page. I know I promised a final this weekend, but it's probably not gonna happen. :(
A little late, but Ryu-X version 3 is now available on the downloads page. Kamek final version release expected next weekend. Added musics to MUGEN page, and fixed some other things on the MUGEN page (Classic Mushroom Kingdom download was pointing to HPZ download. Oops!)
Just in case some of you have been getting confused, I did NOT make Ryu-X that is on my Downloads page, I am only hosting it as a favor to LimitedMoon on the MUGEN Development Forum, so if you thought it was mine, it's not, LimitedMoon made it, so thank him instead. ^_^
LimitedMoon's Ryu-X has been updated at the downloads page. Lots of fixes, and the Denjin Hadoken is implemented.
Kamek has been updated to 0.5 at the downloads page.
I have added LimitedMoon's Ryu to the MUGEN and download pages. Give him a try.
Kamek version 0.4 is available for MUGEN. No new moves this time, however, the Troopa Rush super has been tweaked so it should now work on most normal characters.
The Kamek character for MUGEN is now publically available! Grab yours at the downloads page. It's still in development so gimme your comments.
I have also uploaded my NetMonster Stats HTML.
MUGEN page is up, poll changed, broken link to poll archives fixed, new WebRing bar added.
I am currently working on updating the page. Hopefully I'll actually get some work done this time.
Updates: Links (Added a few links, Custom NMs (Added MvC2 NM section), Sharkery
This site has moved to its new location on 50megs.com. XOOM was becoming unbearably slow and unreliable and I wanted something a bit more reliable, so I'll try 50megs for awhile. If you use the url http://knetmon.cjb.net to connect to this site, you will always get the correct page no matter where I have moved it, so I advise you bookmark that URL if you have not done so already. NOTE: NMs on the old page will continue to remain there. I will not delete any NetMonsters that I have posted because they may become outlings on someone's computer.  Note: this site is undergoing changes. Do not email regarding broken links and/or errors, they will be fixed eventually.
Updates: Removed navigation frame, Downloads page, Game Tips page
Oops, there was a bug in PokeWars that wouldn't let anyone accept an incoming connection. The fix has been posted, just redownload the same file. Also, if you are getting "Address in use" errors, try using the /forceclose command, the use of this command is in the readme file. Both ends must use this command if an "Address in use" error is encountered.
Still here, not dead yet. Beta version of PokeWars available.
Updated: PokeWars page, Downloads page, Arcade games that never made it
Sadly, I have decided to kick the KUB+ project. Chances are, KUB+ will not be made. However, KUB2 will be forthcoming as an upgrade to ChUB 2000 SE. See the KUB2 page for details. Also, the official IRC chat has changed to #KameksKastle, same network, NewNet. irc.newnet.net.
Updated: Downloads page, KUB page, PokéWars page, IRC page, Chat Stats page
Well, those morons at Nightstar had to go and ban me for no good reason at all. It's so hard to find a good IRC server these days. The official KUB+ channel is now on Newnet, channel #KUB+. Try irc.newnet.net in your IRC client. And help boycott Nightstar.
The poll SHOULD be fixed now. I hope.
I've come across something BIG for Pokemon Stadium... I'll post it up later, though, and let you guys suffer for awhile :)
This isn't really news, because I've had it posted on the Message Board, but not here. There is an IRC chat room for KUB+. If you'd like to stop by, point your IRC client at irc.tx3.com and join channel #KUB+. We don't bite... much :)
The poll seems to be currently defunct. There seems to be a problem with Freepolls.com's poll server. The poll was reset, but for now there is no Bi-whenever-the-hell-I-feel-like-it Poll. Sorry (as if anyone cared ^_^).
I've changed the Bi-whenever-the-hell-I-feel-like-it Poll. Most people felt in the old poll that their champion was strong enough to take on Mewtwo and Nemesis. But could their champions take both Mewtwo AND Nemesis, at the SAME TIME, with one appendage tied behind their back? ^_^
Oh yeah, you can now view the site at http://www.kamekskastle.com. I'm also offering free e-mail redirection. You can have a @kamekskastle.com email address forwarded to the address of your choosing. And it's totally free, a service provided by Namezero.com. If you're interested, just email me at<EMAIL_ADDRESS>and lemme know what alias you want and what email you would like it forwarded to.
A new code for Pokemon Stadium for N64. This code is definately worth seeing, as it can save you a lot of training! I also put some NM buttons on some pages that didn't have them.  I couldn't get the old counter's count because the server was down (which was one of the reasons I switched), so I'll change the number as soon as I can access my old counter...
The Weekly Poll is back up, except now it's the Bi-whenever-the-hell-I-feel-like-it Poll, so don't expect a metric assload of updates on the polls. I'll leave one up for awhile, then archive the results and give you a link to view them. JavaScript must be enabled to vote, however. There are also four new Trivia questions!
 Why do I even have this page up anymore? I'm erasing this page tomorrow and I just uploaded a virus to your computer for even daring to play NM!April Fool. :P
Some real updates! I've merged my original page with this one to create Kamek's Kastle of Kool Krap. We've got NetMonster, GameShark, and KUB+ so far, as well as a kickass message board that's growing in popularity. If you have suggestions, please email them! The only page that has not been put back online is the NM Record List, which may not make it back. I've added the Shade's Tower Strategy Guide if you're having trouble defeating the evil Internet Wizard. The Shade Slayer Monument is up with its first two Slayers. Kamek is back in business!
School takes up a buttload of my time, as I predicted, and NetMonster doesn't interest me too much anymore. At least not until PTO finishes moving and gets the next version up and running. I've already "lost" the IRC chatroom due to a Nightstar channel service reset. So don't look for too many updates here until a new version comes out. However, I will be cruising the net on my cable modem (bwahahaha) and you can still find me on ICQ, etc. KUB+ is probably my main priority right now, and I'm starting to get it underway, but only time will tell when it will be ready. So, I'll continue to leave this page up for you MonsterHunters who still haven't caught all my NetMonsters yet. I'll be making new custom Pokemon NMs with my new video capture card (double bwahahaha) with Pokemon Stadium plugged in (triple bwahahaha), so expect some of the custom pictures to change, because not all the pictures I got for them are very decent.Crystal Hunters? As soon as I remember how to work the program I made for it, I'll probably resume it...
Shade Slayer Monument? Email me a Print-Screen capture of the "The End" screen and I'll put your name up. (Please reduce the colors or convert to a smaller format if possible)
Weekly Poll? Try bi-whenever-I-feel-like-it poll. :)
Hall of Fame? Hall of Shame? ... Got any entries?
My stats? Sure, I'll post 'em again, but I probably won't be too interested in battling until a newer version with the PVP bug fixes comes out. But if you build a battle cage, I will come. :)
BTW, don't visit http://kamek.8m.com, it's been taken over by a malicious hacker who is against everything Kamek and will stop at nothing to take over the world... or was that The Brain?... Well, ciao for now.
Here is a report of all the Special URLs on the old knetmon.8m.com site.Data Nodes:
Oracles:
- http://knetmon.8m.com/mage/mage287.html
- http://knetmon.8m.com/mage/mage320.html
- http://knetmon.8m.com/mage/mage371.html
- http://knetmon.8m.com/mage/mage490.html
- http://knetmon.8m.com/random/random229.html
- http://knetmon.8m.com/random/random280.html
- http://knetmon.8m.com/Friendly/sbanvjauwydhmrut.html
- http://knetmon.8m.com/Friendly/lataekeuvtvtlcsb.html
- http://knetmon.8m.com/Friendly/mzrzrhhnioacwakt.html
- http://knetmon.8m.com/Friendly/qwmraidkrlyvyfgj.html
- http://knetmon.8m.com/Friendly/cfopyppvogbbkken.html
- http://knetmon.8m.com/Friendly/ndwjbfwxoxnvzyzg.html
- http://knetmon.8m.com/Hostile/sqctxkttmfonsbed.html
- http://knetmon.8m.com/Hostile/ctkkzbkruuaejlbv.html
- http://knetmon.8m.com/Neutral/ryicnmbnrisrbubt.html
- http://knetmon.8m.com/Neutral/ljkdebkjwtsmsvoi.html
- http://knetmon.8m.com/Neutral/pnywtptsakszkzmx.html
- http://knetmon.8m.com/pikabzzap/pqousyqfhtlzckxj.html
- http://knetmon.8m.com/pikabzzap/qhzqofsgptwbagac.html
- http://knetmon.8m.com/pikabzzap/ynpfzbqqoqetebfc.html
Bosses:
- http://knetmon.8m.com/random/random051.html
- http://knetmon.8m.com/random/random122.html
- http://knetmon.8m.com/mage/mage142.html
- http://knetmon.8m.com/Friendly/xuecwvgsuddppumv.html
- http://knetmon.8m.com/Friendly/rgasacmygxxcvogl.html
- http://knetmon.8m.com/Neutral/vmkchifofeemgxis.html
- http://knetmon.8m.com/pikabzzap/zglajtjkeahbyyff.html
- http://knetmon.8m.com/pikabzzap/xxzfsaxxdwveaoav.html
I didn't include Prysm Trees or Dark Spheres or Nemesises, etc. However, I will tell you that you can find 100 Dalmations at http://knetmon.8m.com/Dalmations/dog###.html. (Replace ### with 001, 002, ... 099, 100.)
- http://knetmon.8m.com/Neutral/dczrnwanygmuogqa.html (Arimas)
- http://knetmon.8m.com/Neutral/iystecdtcjhpgaaw.html (Goo-Muck-Chu)
- http://knetmon.8m.com/Neutral/mnespkuprtspzhty.html (Sparky)
- http://knetmon.8m.com/pikabzzap/bblotktyoxnjpgew.html (Dr. Zeus)


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People become united when they are fighting for a common goal. A sense of purpose is the driving factor for building awesome teams.
Working in a challenging environment keeps people motivated to grow and improve their skills. The sense of accomplishment and achievement is one of the key factors for mainting top talent.
Maintaining focus can make wonders when time is a risk factor. The goals of a company can move faster by concentrating forces on less things at a time than fighting on too many open fronts.
Phychological safety is key for building self-organizing and self-motivated teams. Mistakes will happen, bad decisions will be taken, projects might fail but this is part of the game and we are all in this together.
Good collaboration eliminates hats and roles from people working together on a common goal. What matters, is a good combination of skillset, a purpose and the will to make it happen.
Teams are thriving in learning organizations. Spreading the knowledge all around and giving equal opportunities to everyone, can establish a long running company.


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element should always have a class leftpanel-collapsed
.
This feature is for large screen only. Viewing it in any small devices should hide the left panel by default.
Change Skin
There's only 1 available skin to choose for right now. More will be coming soon in the next updates.
To manually add the skin into your page, just add the below code into the <head>
.
<link href="css/style.inverse.css" rel="stylesheet">
Change Font
Some devices don't render the default font used in this template properly so we've added some font choices for you to choose your own font by selecting the available font below.
To manually add the font changes into your page, just add the below code into the <head>
.
<link href="css/font.helvetica-neue.css" rel="stylesheet">


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