Event Location:
Goodwill Columbus
1331 Edgehill RD
Columbus, Ohio
Abstract:
Do you have SSAS queries that you feel should be faster? Multidimensional Expressions, or MDX, is the language used to work with Analysis Services. Similar to SQL for the relational engine, MDX is a language for queries and DDL statements on multidimensional cubes in Analysis Services. Troubleshooting slow MDX queries is often challenging because the level of support provided by the tools and the Analysis Services engine is not as mature as that found in the relational engine. This session covers the methods for examining slow queries using the SQL Profiler and Performance Monitor to determine the need for aggregations, caching problems, memory constraints, and so forth. Best practices for optimizing MDX will be examined.
Speaker(s): Craig Utley,
Abstract:
In this session I will give an overview of how to design a database, including the common normal forms and why they should matter to you if you are creating or modifying SQL Server databases. Data should be easy to work with in SQL Server if the database has been organized as close as possible to the standards of normalization that have proven for many years. Many common T-SQL programming "difficulties" are the result of struggling against the way data should be structured and can be avoided by applying the basic normalization techniques and are obvious things that you find yourself struggling with time and again (i.e. using the SUBSTRING function in a WHERE clause meaning you can't use an index efficiently).
Speaker(s): Louis Davidson,
Abstract:
Clustering is very important technology for High Availability and it is important for DBA to understand benefits and pitfalls. With very few available techniques and a lot of gray areas right decision might help to avoid extra costs. Presentation is unveiling clustering basics, reviews and compares clustering technologies including Microsoft, XCOTO Gridscale, and HP PolyserveMatrix. This presentation can be helpful not only to beginners but to intermediate level DBAs and infrastructure managers.
Speaker(s): Alexander Prusakov,
Abstract:
The database is often viewed as a major performance bottleneck. There are a number of quick, easy, painless techniques that can increase the performance of an application not just by a small amount, but by orders of magnitude. These techniques includes simple indexing techniques, T-SQL techniques, and general database application design patterns that give great gains in performance. In this session, you will learn how to look at a database to identify these problem areas and how to resolve common issues that you will encounter.
Speaker(s): Jeremiah Peschka,
Abstract:
Are you seeking practical, in-depth technical advice for building a BI solution using SSAS? Analysis Services changed tremendously with the advent of SQL Server 2005. It introduced a new way of building dimensions and cubes that required a new way of modeling the solution. This session examines the best practices for properly designing cubes for performance and usability. It discusses some high-level topics but also looks at advanced topics such as alternative approaches to many-to-many dimensions, SCOPE statements, aggregation design, scalability issues, processing techniques, server properties, and more.
Speaker(s): Craig Utley,
Abstract:
SQL Server Integration Services (SSIS) is incredibly powerful and provides a great foundation for building a high-quality data mart. In this session learn tips and trick like how to incorporate unstructured data sources, successfully clean data, and build high-performing slowly-changing dimensions (without using a wizard!).
Speaker(s): Josh Fennessy,
Abstract:
If you are always looking for better ways to deliver value to the business as part of a BI project, make sure you examine the capabilities of PowerPivot. Using existing data and tools, users now have the ability to analyze vast quantities of data without first designing dimensions and measure groups. Users can explore the data and optionally share their analysis with others. See how Gemini opens the power of Analysis Services to non-technical users while still allowing the IT organization to administer and secure the data.
Speaker(s): Craig Utley,
Abstract:
The range of real-world queries that can be performed using set-based TSQL solutions is astounding, but many of these are not well known and if you haven't been shown the light you might never realize what is possible. Come and join me as we delve into the inner recesses and corners of the TSQL envelope using a wide variety of expressions, clauses and techniques.
Speaker(s): Kevin Boles,
Abstract:
DMVs - Dynamic Management Views and Funcations are the DBA’s looking glass into the internals of SQL Server. They will give a DBA a snapshot on how the database is performing and potential problem areas. In this session, we will review a number of DMVs describing the types of information that can be captures and how it might be used. This review will include index statistics, query performance, memory utilization to name a few.
Speaker(s): Paul Hiles,
Abstract:
Microsoft Azure
Speaker(s): Matt Hester,
Abstract:
We all know how important it is to keep a baseline of performance metrics that allow us to know when something is wrong and help us to track it down and fix the problem. We don't always know how to do this easily and consistently. This session will walk you through a series of PowerShell scripts you can schedule which will capture the most important data and a set of reports to show you how to use that data to keep your server running smoothly.
Speaker(s): Allen White,
Abstract:
Beyond database design fundamentals (for example, Normalization) lies the area where you have to create "real" solutions. In this session, I will cover a good number of patterns that we commonly find useful to try to apply to the problem of building a database solution. Ideas like generalization, subclassing, single table domain tables, optional data, and more will be discussed, some of them good, some not so good (don't assume which will be which), but all that are common and/or useful for your database implementations.
Speaker(s): Louis Davidson,
Abstract:
SQL Server 2008 introduced the FileStream object. This allowed developers to resolve an age long dilemma of storing large binary files in the database or accessing them on the file system. SS08 provides the best of both worlds while allowing applications to access the data readily through the FileStream object via Transact SQL or File I/O.
Speaker(s): Sam Nasr,
Abstract:
We are going to examine a variety of oopsies MANY developers fall prey to - some obvious, some fairly subtle and some down right sneaky! Lots of code examples with the bad AND good code presented.
Speaker(s): Kevin Boles,
Abstract:
Dynamic SQL is a misunderstood and much maligned part of a DBA’s tool kit – it can be used to solve difficult business problems, respond to diverse data needs, and alleviate performance problems. Many DBAs reject dynamic SQL outright as a potential source of SQL injections, being poorly performing, or just for being a hacky solution in general. Not so! Jeremiah Peschka has been making extensive use of dynamic SQL throughout his career to solve a variety of problems. He’ll set about dispelling these misconceptions and demonstrate how dynamic SQL can become a part of every DBA’s tool kit.
Speaker(s): Jeremiah Peschka,
Abstract:
With the introduction of the XML data type in SQL Server 2005 a new level of flexibility has been introduced to relational database environments to support loosely structured data. To get that data back requires an understanding of XQuery, the powerful query language written for XML specifically. This session will cover the basics of XQuery and help you get up to speed on this new environment.
Speaker(s): Allen White,
Abstract:
Disaster Recovery for your SQL Environment
Speaker(s): Tim Beamer,
Abstract:
SQL Server Analysis Services is a powerful MOLAP database. Learn how to model relational data going into SSAS to enhance the analytical power of Analysis Services and ensure swift cube processing.
 If you're looking for things to do on your production server, you're in the wrong place. Brent will be running around with scissors, doing all kinds of oddball T-SQL stunts that have no business in the business world. If you're the kind of person who loves using a number after the GO statement (like GO 10), then you'll love this session.
Speaker(s): Brent Ozar,
Abstract:
Times are tough even for the best drivers: Helio Castroneves is dancing for money and Danica Patrick is doing ads for what appears to be an adult services company. Maybe it’s time to switch careers, and Brent has just the thing. Use your hard-earned knowledge of high speeds, million-dollar hardware and surviving disastrous crashes to become a SQL Server performance tuner! In this session, Brent will show you why Colin Chapman and Enzo Ferrari would have used index tuning, database mirroring, and other tools that can give you an edge.
Speaker(s): Brent Ozar,
Abstract:
Is your organization trying BI for the first time? Have you tried BI without much to show for it? You're in good company. Gartner says that the majority of BI projects fail. Learn factors for successful business intelligence projects using the Microsoft SQL Server suite of products, including technology selection, architecture, skills and staffing, team structure, develpment methodology, business analysis, and QA.
Speaker(s): Dave Rodabaugh,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Located in Columbus, Ohio, Dave Rodabaugh has over a decade of experience doing one thing: data warehousing and business intelligence using the Microsoft suite of products. His background as an engineer and exclusive focus on business intelligence has helped clients be successful in both initial-effort and rescued BI projects. He co-owns Atlas Analytics, through which he consults to clients in Ohio and beyond.
Contact: http://content.dell.com/us/en/enterprise/by-service-type.aspx?redirect=1
Tim Beamer has served 17 years in the technology industry in a variety of roles. Whether as a Systems Administrator, Systems Analyst, or Systems Engineer, the solutions developed by Tim have always been in response to mission critical needs either for his customers or the company he worked for. Currently Tim serves as a Technology Evangelist for the Microsoft Consulting Practice at Dell with responsibility for the United States of America and Canada.
Paul has over 20 years of experience in the IT field which includes: programmer, system administrator, technical manger and both an operational and application DBA. He has been working with SQL Server since 2000 starting with version 7.0. He is currently a Data Architect where he specializes in SSIS, SSRS and database design and performance tuning.
Contact: http://www.learnmicrosoftbi.com
Craig Utley is a Senior Architect with CTS and a former Program Manager with the SQL Server Customer Advisory Team (SQLCAT), where he focused on business intelligence. Craig has been involved in the Microsoft BI space since the betas of SQL Server 7.0 and has consulted on over 50 BI implementations worldwide, including the largest Microsoft data warehouse in the world. He is a former MVP in both SQL Server and C# and has written three books and more than 35 articles.
Alexander Prusakov is Sr. SQL Server DBA from Indianapolis, IN. As consultant, he is utilizing his expertise in database design, development, and administration for variety of companies. He provides database administration for enterprise size companies (over 50 servers, over 400 instances, and over 2000 databases) and helps small and medium size companies to re-design and re-develop core databases utilizing MS SQL Server 2005/2008.
LinkedIn: http://www.linkedin.com/in/louisdavidson
Contact: https://www.red-gate.com/simple-talk/author/louis-davidson/
Louis Davidson has worked in the IT industry for over 25 years as a corporate database developer and architect. He has been a Microsoft SQL Server MVP for 15 years and has written five books on database design, and contributed to many other SQL Server books as an author and tech editor. He has a bachelor's degree in Computer Science from the University of Tennessee at Chattanooga. You can read more about Louis at http://drsql.org.
Contact: http://brentozar.com
Jeremiah sees the magic in technology. He knows how to do things now, and he also knows how to think about possibilities. Jeremiah likes to imagine new kinds of indexes, new kinds of teams, new kinds of applications — this means when you need to reinvent something, or get unblocked, you should talk to Jeremiah.
Located in Columbus, Ohio, Dave Rodabaugh has over a decade of experience doing one thing: data warehousing and business intelligence using the Microsoft suite of products. His background as an engineer and exclusive focus on business intelligence has helped clients be successful in both initial-effort and rescued BI projects. He co-owns Atlas Analytics, through which he consults to clients in Ohio and beyond.
LinkedIn: http://www.linkedin.com/pub/allen-white-sql-server-mvp/5/784/b08/
Contact: http://dataperfpro.com/blog/
Allen White is a Data Platform consultant. He has been both a developer and an administrator, so he understands both perspectives towards database technology. He loves sharing his experiences and helping people learn how to use SQL Server. Allen has spent over 40 years in IT, using SQL Server since 1992, and has been awarded Microsoft’s MVP Award for the last 13 years. Allen was a PASS Director from 2016 - 2018.
Contact: http://www.learnmicrosoftbi.com
Craig Utley is a Senior Architect with CTS and a former Program Manager with the SQL Server Customer Advisory Team (SQLCAT), where he focused on business intelligence. Craig has been involved in the Microsoft BI space since the betas of SQL Server 7.0 and has consulted on over 50 BI implementations worldwide, including the largest Microsoft data warehouse in the world. He is a former MVP in both SQL Server and C# and has written three books and more than 35 articles.
Matt Hester is the Midwest IT Evangelist for Microsoft.
LinkedIn: https://www.linkedin.com/in/brentozar
Contact: https://www.BrentOzar.com
Brent Ozar loves to make SQL Server faster. He created sp_Blitz and the SQL Server First Responder Kit. He shares what he's learned at BrentOzar.com.
Contact: http://www.learnmicrosoftbi.com
Craig Utley is a Senior Architect with CTS and a former Program Manager with the SQL Server Customer Advisory Team (SQLCAT), where he focused on business intelligence. Craig has been involved in the Microsoft BI space since the betas of SQL Server 7.0 and has consulted on over 50 BI implementations worldwide, including the largest Microsoft data warehouse in the world. He is a former MVP in both SQL Server and C# and has written three books and more than 35 articles.
LinkedIn: https://www.linkedin.com/in/brentozar
Contact: https://www.BrentOzar.com
Brent Ozar loves to make SQL Server faster. He created sp_Blitz and the SQL Server First Responder Kit. He shares what he's learned at BrentOzar.com.
LinkedIn: http://www.linkedin.com/pub/allen-white-sql-server-mvp/5/784/b08/
Contact: http://dataperfpro.com/blog/
Allen White is a Data Platform consultant. He has been both a developer and an administrator, so he understands both perspectives towards database technology. He loves sharing his experiences and helping people learn how to use SQL Server. Allen has spent over 40 years in IT, using SQL Server since 1992, and has been awarded Microsoft’s MVP Award for the last 13 years. Allen was a PASS Director from 2016 - 2018.
LinkedIn: http://www.linkedin.com/in/samsnasr
Contact: http://samnasr.blogspot.com/
Sam Nasr has been a software developer since 1995, focusing mostly on Microsoft technologies. He’s a Sr. Software Engineer with NIS Technologies where he consults and teaches clients about the latest .Net technologies. Sam has achieved multiple certifications from Microsoft (MCSA, MCAD, MCTS, MCT), and is the leader of the Cleveland C#/VB.Net User Group since 2003. In addition, he’s the leader of the .Net Study Group, an author for Visual Studio Magazine, and a Microsoft MVP since 2013. When not coding, Sam loves spending time with his family and friends or volunteering at his local church.
Senior Business Intelligence Consultant at BlueGranite, Inc., Josh Fennessy has been working with the Microsoft BI stack exclusivley for the last 5 years. He has earned MCITP in both SQL 2005 and SQL 2008 versions of the tools. Josh is also the chapter leader of the West MI SQL Server Users Group. When he's not building BI solutions, he enjoys spending time with his 6 year old son, slinging lead at the range, and exercising (but never in his underwear. Promise!)
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
LinkedIn: http://www.linkedin.com/in/louisdavidson
Contact: https://www.red-gate.com/simple-talk/author/louis-davidson/
Louis Davidson has worked in the IT industry for over 25 years as a corporate database developer and architect. He has been a Microsoft SQL Server MVP for 15 years and has written five books on database design, and contributed to many other SQL Server books as an author and tech editor. He has a bachelor's degree in Computer Science from the University of Tennessee at Chattanooga. You can read more about Louis at http://drsql.org.
Contact: http://brentozar.com
Jeremiah sees the magic in technology. He knows how to do things now, and he also knows how to think about possibilities. Jeremiah likes to imagine new kinds of indexes, new kinds of teams, new kinds of applications — this means when you need to reinvent something, or get unblocked, you should talk to Jeremiah.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
The following is a list of sponsors that helped fund the event.


Introducing a new blog!
Hi all. This is a new blog post which is primarily meant to test how to go about writing new posts for this blog which I very conveniently lifted off of some github repository. Regardless, this is an excellent light-weight theme, and to be honest I like it so much it almost feels like I commissioned it. So I think the first thank you goes to the awesome creators of this beautiful theme, which I found out are a bunch (or possibly a lonewolf) web developer based out of Bangalore. So thank you!
Apart from the credits, this will also serve as a practise for formatting these posts using a code editor. For refernce, I am writing this as a markdown file in VS Code and thus have no idea how this actually looks on the web. I’ll try out a couple of markdown commands to just make sure I got the hang of it.
Headings
Under this, I would like to have multiple subheadings.
Topic 1
So this should ideally be a subparagraph under the above heading.
Topic 2
Second subtopic. Trying to insert a link as link. Heck I gotta say VS Code is beautiful. Even with markdown, it knows just the right type of syntax highlighting to help me out without making it look like a rainbow (cough cough eclipse.. cough).
Topic 3
This is the last subheading.
I think this should suffice for a blog post. For all those unfortunate enough to have read this whole thing up until this point, you have my sincerest condolences and a genuine feeling of appreciation from the bottom of my heart. Now please dont do that again. Ciao.
-p


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--- comments: true layout: post title: "A curious beast" date: 2011-08-01T10:38:00+10:00 categories: - cats - but but but - poetry ---


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For those who have obliterated me, it's time to retrace and bring back our vanished cultural heritage. Retrieve my values, benefits and think about how effortlessly I can be a part of your day to day lives.


MLA makes serious charges against former Guntur Collector
Ramakrishna Reddy moves resolution to ban Lokesh from DRC meetings
by Staff ReporterMangalagiri MLA Alla Ramakrishna Reddy has created a flutter by alleging that former District Collector and Commissioner, Civil Supplies, Kona Sasidhar and District Revenue Officer P. Srinivasulu had worked against him in the previous elections.
He also said that several officers who have been against the YSR Congress Party have been given key postings in this government too.
Even as Mr. Ramakrishna Reddy went hammer and tongs against the officers at the District Review Committee meeting, Minister for Housing and district in-charge Minister Ch. Ranganatha Raju and Minister for Marketing Mopidevi Venkata Ramana Rao asked him to exercise restraint and said that this was not a meeting to discuss such things.
Stating that such remarks had no precedence in the District Review Committee meeting, the Ministers asked the MLA to control himself. Many MLAs too urged Mr. Reddy to restrain himself.
Earlier, Mr. Ramakrishna Reddy had moved a resolution seeking to ban TDP MLC Nara Lokesh from attending the DRC meetings.


4 |
Austria |
Developed |
Member |
Euro |
54.9 |
64.9 |
0.9 |
67.1 |
6 |
Belgium |
Developed |
Member |
Euro |
63.6 |
65.5 |
0.6 |
58.0 |
17 |
Estonia |
Developed |
Member |
Euro |
55.4 |
60.2 |
-0.88 |
68.5 |
18 |
Finland |
Developed |
Member |
Euro |
66.4 |
65.7 |
-0.2 |
67.7 |
19 |
France |
Developed |
Member |
Euro |
68.8 |
67.3 |
0.0 |
60.6 |
20 |
Germany |
Developed |
Member |
Euro |
63.6 |
67.4 |
0.5 |
69.9 |
22 |
Greece |
Developed |
Member |
Euro |
43.0 |
42.0 |
-1.7 |
42.5 |
28 |
Ireland |
Developed |
Member |
Euro |
64.3 |
65.3 |
-0.3 |
59.4 |
30 |
Italy |
Developed |
Member |
Euro |
51.4 |
41.3 |
0.0 |
47.2 |
34 |
Latvia |
Developed |
Member |
Euro |
56.6 |
54.5 |
0.2 |
66.4 |
35 |
Lithuania |
Developed |
Member |
Euro |
58.5 |
54.6 |
-0.9 |
66.5 |
39 |
Netherlands |
Developed |
Member |
Euro |
69.3 |
66.5 |
0.6 |
69.2 |
50 |
Slovakia |
Developed |
Member |
Euro |
54.8 |
45.4 |
-0.3 |
55.9 |
51 |
Slovenia |
Developed |
Member |
Euro |
55.9 |
53.1 |
-0.5 |
61.0 |
53 |
Spain |
Developed |
Member |
Euro |
52.5 |
49.6 |
-0.5 |
52.7 |
12 |
Croatia |
Developed |
Member |
National Currency |
49.9 |
40.6 |
-0.5 |
60.4 |
13 |
Denmark |
Developed |
Member |
National Currency |
69.7 |
71.4 |
0.5 |
70.3 |
24 |
Hungary |
Developed |
Member |
National Currency |
53.7 |
42.7 |
-0.1 |
57.8 |
44 |
Poland |
Developed |
Member |
National Currency |
57.7 |
47.4 |
-0.9 |
56.6 |
54 |
Sweden |
Developed |
Member |
National Currency |
66.7 |
71.8 |
0.0 |
74.0 |
3 |
Australia |
Developed |
Not Member |
National Currency |
74.8 |
77.6 |
1.5 |
66.8 |
25 |
Iceland |
Developed |
Not Member |
National Currency |
68.0 |
70.4 |
1.6 |
82.3 |
32 |
Japan |
Developed |
Not Member |
National Currency |
40.0 |
49.5 |
0.8 |
64.7 |
40 |
Norway |
Developed |
Not Member |
National Currency |
66.3 |
65.6 |
2.17 |
69.2 |
49 |
Singapore |
Developed |
Not Member |
National Currency |
59.8 |
68.1 |
-0.5 |
59.18 |
55 |
Switzerland |
Developed |
Not Member |
National Currency |
63.7 |
68.6 |
-1.1 |
74.7 |
56 |
Taiwan |
Developed |
Not Member |
National Currency |
53.4 |
69.1 |
-0.61 |
55.0 |
1 |
Algeria |
Developing |
Not Member |
National Currency |
27.4 |
30.2 |
4.8 |
18.0 |
2 |
Argentina |
Developing |
Not Member |
National Currency |
35.7 |
37.2 |
26.5 |
47.3 |
7 |
Bolivia |
Developing |
Not Member |
National Currency |
29.7 |
28.0 |
4.1 |
69.4 |
8 |
Bosnia and Herzegovina |
Developing |
Not Member |
National Currency |
31.6 |
28.9 |
-1.0 |
51.9 |
9 |
Brazil |
Developing |
Not Member |
National Currency |
31.1 |
25.8 |
10.67 |
55.9 |
10 |
China |
Developing |
Not Member |
National Currency |
38.3 |
36.4 |
1.4 |
62.4 |
11 |
Costa Rica |
Developing |
Not Member |
National Currency |
36.1 |
37.7 |
0.8 |
59.4 |
14 |
Ecuador |
Developing |
Not Member |
National Currency |
32.3 |
28.2 |
-0.5 |
63.5 |
15 |
Egypt |
Developing |
Not Member |
National Currency |
27.7 |
28.1 |
11.0 |
64.6 |
16 |
El Salvador |
Developing |
Not Member |
National Currency |
29.9 |
29.6 |
-2.25 |
55.7 |
21 |
Ghana |
Developing |
Not Member |
National Currency |
25.8 |
24.8 |
17.2 |
60.8 |
26 |
India |
Developing |
Not Member |
National Currency |
25.3 |
25.3 |
5.9 |
61.1 |
31 |
Jamaica |
Developing |
Not Member |
National Currency |
38.6 |
27.2 |
3.7 |
37.7 |
36 |
Macedonia |
Developing |
Not Member |
National Currency |
41.2 |
37.1 |
3.7 |
73.0 |
37 |
Malaysia |
Developing |
Not Member |
National Currency |
39.2 |
40.0 |
2.3 |
58.5 |
38 |
Mexico |
Developing |
Not Member |
National Currency |
42.8 |
30.7 |
2.7 |
44.7 |
42 |
Panama |
Developing |
Not Member |
National Currency |
36.9 |
32.2 |
0.1 |
67.9 |
43 |
Peru |
Developing |
Not Member |
National Currency |
43.6 |
30.9 |
3.5 |
63.4 |
47 |
Russia |
Developing |
Not Member |
National Currency |
35.6 |
31.7 |
15.5 |
65.2 |
48 |
Saudi Arabia |
Developing |
Not Member |
National Currency |
37.0 |
49.6 |
1.2 |
13.0 |
57 |
Thailand |
Developing |
Not Member |
National Currency |
36.6 |
32.1 |
-0.9 |
62.0 |
58 |
Tunisia |
Developing |
Not Member |
National Currency |
30.7 |
35.5 |
4.8 |
25.19 |
59 |
Turkey |
Developing |
Not Member |
National Currency |
39.3 |
54.6 |
7.7 |
30.4 |
60 |
Uruguay |
Developing |
Not Member |
National Currency |
44.5 |
41.4 |
8.67 |
68.0 |


public class SampleManager
extends java.lang.Object
Sample
data and provides methods to organise samples into groups.| Modifier and Type | Class and Description |
|---|---|
static interface |
SampleManager.SampleGroupListener
Interface for notificaiton of changes to a group.
|
| Constructor and Description |
|---|
SampleManager() |
| Modifier and Type | Method and Description |
|---|---|
static void |
addGroupListener(SampleManager.SampleGroupListener l) |
static void |
addToGroup(java.lang.String group,
java.util.List<Sample> newSamples)
Add a new list of Samples to the specified group.
|
static void |
addToGroup(java.lang.String group,
Sample sample)
Add a new Sample to a group.
|
static void |
destroyGroup(java.lang.String groupName)
Removes the specified group, and removes all of the samples found in the
group from the sample repository.
|
static Sample |
fromGroup(java.lang.String groupName,
int index)
Gets the Sample at the specified index from the specified group.
|
static java.util.ArrayList<Sample> |
getGroup(java.lang.String groupName)
Gets the specified group in the form ArrayList<Sample>.
|
static java.lang.String |
getGroupDir(java.lang.String groupName)
Gets the directory path of the group.
|
static java.util.List<java.lang.String> |
getSampleNameList()
Returns an ArrayList containing all of the Sample names.
|
static java.util.List<Sample> |
group(java.lang.String groupName,
Sample[] sampleList)
Generates a new group with the given group name and list of Samples to be
added to the group.
|
static java.util.List<Sample> |
group(java.lang.String groupName,
java.lang.String folderName)
Generates a new group with the given group name and a string that
specifies where to load samples to be added to the group.
|
static java.util.List<Sample> |
group(java.lang.String groupName,
java.lang.String[] fileNameList)
Generates a new group with the given group name and a list of file names
to be added to the group.
|
static java.util.List<Sample> |
group(java.lang.String groupName,
java.lang.String[] fileNameList,
int maxItems)
Generates a new group with the given group name and a list of file names
to be added to the group, with number of elements loaded limited to maxItems.
|
static java.util.List<Sample> |
group(java.lang.String groupName,
java.lang.String folderName,
int maxItems)
Generates a new group with the given group name and a string that
specifies where to load samples to be added to the group, and also limits the number of items loaded from the folder to maxItems.
|
static java.util.Set<java.lang.String> |
groups()
Gets the set of group names.
|
static java.util.List<java.lang.String> |
groupsAsList()
List the groups by name as a list of Strings.
|
static boolean |
isVerbose()
Determines if SampleManager is being verbose.
|
static void |
logSamplePaths(java.lang.String toFile)
Creates a text file at the specified path containing a list of all of the
file names of
Sample s loaded so far. |
static void |
printSampleList()
Prints a list of all
Sample s to System.out. |
static Sample |
randomFromGroup(java.lang.String groupName)
Gets a random sample from the specified group.
|
static void |
removeGroup(java.lang.String groupName)
Removes the specified group, without removing the samples.
|
static void |
removeGroupListener(SampleManager.SampleGroupListener l) |
static void |
removeSample(Sample sample)
Removes the
Sample . |
static void |
removeSample(java.lang.String sampleName)
Removes the named
Sample . |
static Sample |
sample(java.lang.String fn)
Returns a new Sample from the given filename.
|
static void |
sample(java.lang.String name,
Sample sample)
Adds a sample by name to the sample list.
|
static Sample |
sample(java.lang.String ref,
java.lang.String fn)
Like
sample(String) but with the option to specify the name with which this Sample is indexed. |
static void |
setVerbose(boolean verbose)
Tells SampleManager to produce verbose output.
|
static void |
transferSamples(java.lang.String sourceRootDir,
java.lang.String destRootDir,
boolean force)
Takes all of the
Sample s currently stored and attempts to relocate
them so that their position relative to destRootDir duplicates their position
relative to sourceRootDir. |
public static Sample sample(java.lang.String fn)
fn
- the file path.public static void sample(java.lang.String name, Sample sample)
name
- sample
- public static Sample sample(java.lang.String ref, java.lang.String fn)
sample(String)
but with the option to specify the name with which this Sample
is indexed.ref
- the name with which to index this Sample.fn
- the file path.public static java.util.List<Sample> group(java.lang.String groupName, Sample[] sampleList)
groupName
- the group name.sampleList
- the sample list.public static java.util.List<Sample> group(java.lang.String groupName, java.lang.String folderName)
groupName
- the group name.folderName
- the folder address (URL or file path).public static java.util.List<Sample> group(java.lang.String groupName, java.lang.String folderName, int maxItems)
groupName
- the group name.folderName
- the folder address (URL or file path).maxItems
- number of items to limit to.public static java.util.List<Sample> group(java.lang.String groupName, java.lang.String[] fileNameList)
groupName
- the group name.fileNameList
- the file name list.public static java.util.List<Sample> group(java.lang.String groupName, java.lang.String[] fileNameList, int maxItems)
groupName
- the group name.fileNameList
- the file name list.maxItems
- number of items to limit to.public static void addToGroup(java.lang.String group, Sample sample)
group
- the group to add to.sample
- the Sample to add.public static void addToGroup(java.lang.String group, java.util.List<Sample> newSamples)
group
- the group to add to.newSamples
- the list of Samples to add.public static java.util.Set<java.lang.String> groups()
public static java.util.List<java.lang.String> groupsAsList()
public static java.util.ArrayList<Sample> getGroup(java.lang.String groupName)
groupName
- the group name.public static java.lang.String getGroupDir(java.lang.String groupName)
groupName
- public static Sample randomFromGroup(java.lang.String groupName)
groupName
- the group.public static Sample fromGroup(java.lang.String groupName, int index)
groupName
- the group name.index
- the index.public static void removeSample(java.lang.String sampleName)
Sample
.sampleName
- the sample name.public static void removeSample(Sample sample)
Sample
.sample
- the Sample.public static void removeGroup(java.lang.String groupName)
groupName
- the group name.public static void destroyGroup(java.lang.String groupName)
groupName
- the group name.public static void addGroupListener(SampleManager.SampleGroupListener l)
public static void removeGroupListener(SampleManager.SampleGroupListener l)
public static void printSampleList()
Sample
s to System.out.public static java.util.List<java.lang.String> getSampleNameList()
public static boolean isVerbose()
public static void setVerbose(boolean verbose)
verbose
- true for verbose output.public static void logSamplePaths(java.lang.String toFile)
Sample
s loaded so far. Useful if you need to gather
all of your sample data into one place using a script. Puts all file names in
double quotes.toFile
- destination of the file.public static void transferSamples(java.lang.String sourceRootDir, java.lang.String destRootDir, boolean force)
Sample
s currently stored and attempts to relocate
them so that their position relative to destRootDir duplicates their position
relative to sourceRootDir. This only applies to Sample
s that were loaded
from a position below sourceRootDir.sourceRootDir
- root that you want to transfer fromdestRootDir
- place you want to transfer toforce
- set to true to force overwrite existing files - take care!


Calculation of Solar Magnetic Observables
Using HMI magnetograms, we are able to calculate magnetic observables that both correlate with each other as well as the velocity features. This shows how the magnetic activity is driving the radial velocity variations.
Filling Factor
Disk averaged filling factors of sunspots and plage which gives the percentage of magnetically active pixels.
The filling factor is a calculation of the percentage of active pixels on the solar surface at any one time. We calculate three different factors: f_{spot}, f_{bright}, and f. These are the filling factors due to sunspots, faculae/network, and the total filling factor which is the sum of the two.
We return the filling factor as a percentage:
f = \frac{1}{N_{pix}} \sum_{ij} W_{ij} * 100
def filling_factor(mu, mmap, active, fac_inds, spot_inds, mu_cutoff=0.3):
"""
function to calculate filling factor
Parameters
----------
mu: array of mu (cosine theta) values
mmap: UNCORRECTED Sunpy map object (Magnetogram)
active: weights array where active pixels have weight = 1
fac_inds: array of indices where faculae are detected
spot_inds: array of indices where sunspots are detected
mu_cutoff: minimum mu cutoff value
Returns
-------
f_bright: filling factor (%) for bright areas (faculae)
f_spot: filling factor (%) for dark areas (sunspots)
f_total: filling factor (%) for timestamp
"""
# get good mu values
good_mu = np.where(mu > mu_cutoff)
# get number of pixels
npix = len(mmap.data[good_mu])
# faculae
faculae = np.zeros(mmap.data.shape)
faculae[fac_inds] = 1.
f_bright = np.sum(faculae) / npix * 100
# sunspots
spots = np.zeros(mmap.data.shape)
spots[spot_inds] = 1.
f_spot = np.sum(spots) / npix * 100
# get filling factor
f_total = np.sum(active) / npix * 100
return f_bright, f_spot, f_total
Unsigned Magnetic Flux
The disc-averaged, line-of-sight unsigned (unpolarized) magnetic flux of the Sun.
|\hat{B_{obs}}| = \frac{\sum_{ij} |B_{obs, ij}| I_{ij}} {\sum_{ij} I_{ij}}
def unsigned_flux(map_mag_obs, imap):
"""
calculate unsigned magnetic flux
Parameters
----------
map_mag_obs: corrected observed magnetic field strength Sunpy map object (Magnetogram)
imap: UNCORRECTED Sunpy map object (Intensitygram)
Returns
-------
unsign_flux: unsigned magnetic flux
"""
unsign_flux = np.nansum(np.abs(map_mag_obs.data) * imap.data) / np.nansum(imap.data)
return np.abs(unsign_flux)
Area Based Magnetic Observables
In addition to the unsigned flux and filling factor calculations described above, we calculate these quantities with an eye for what types of regions are causing variations in magnetic activity. The calculations for area thresholded regions is outlined below.
Area Thresholded Filling Factor
def area_filling_factor(active, area, mu, mmap, fac_inds, athresh=20, mu_cutoff=0.3):
"""
calculate filling factor for regions thresholded by area
- differentiate between large and small regions
- differentiate between plage (large) and network (small) bright regions
Parameters
----------
active: weights array where active pixels have weight = 1
area: area of each active region weighted by its intensity
mu: array of mu (cosine theta) values
mmap: UNCORRECTED Sunpy map object (Magnetogram)
fac_inds: array of indices where faculae are detected
athresh: area threshold value between large and small regions (in uHem)
mu_cutoff: minimum mu cutoff value for usable data
Returns
-------
f_small: filling factor (%) for small magnetically active regions
f_large: filling factor (%) for large magnetically active regions
f_network: filling factor (%) for network (small, bright magnetically active) regions
f_plage: filling factor (%) for plage (large, bright magnetically active) regions
f_nonconv: filling factor (%) for regions that do not suppress convective blueshift
"""
# get good mu values
good_mu = np.where(mu > mu_cutoff)
# get number of pixels
npix = len(mmap.data[good_mu])
# get quiet pixels
quiet = 1 - active
# get filling factor for 'small' magnetic features
small = np.zeros(mmap.data.shape)
small_inds = np.logical_and(active > 0.5, area < athresh)
small[small_inds] = 1.
f_small = np.nansum(small) / npix * 100
# get filling factor for 'large' magnetic features
large = np.zeros(mmap.data.shape)
large_inds = np.logical_and(active > 0.5, area > athresh)
large[large_inds] = 1.
f_large = np.nansum(large) / npix * 100
# get filling factor for network (small, faculae regions)
network = np.zeros(mmap.data.shape)
network_inds = np.logical_and(small > 0.5, fac_inds > 0.5)
network[network_inds] = 1.
f_network = np.nansum(network) / npix * 100
# get filling factor for plage (large, faculae regions)
plage = np.zeros(mmap.data.shape)
plage_inds = np.logical_and(large > 0.5, fac_inds > 0.5)
plage[plage_inds] = 1.
f_plage = np.nansum(plage) / npix * 100
# get filling factor for small, non-convective regions
nonconv = np.zeros(mmap.data.shape)
nonconv_inds = np.logical_and(quiet > 0.5, small > 0.5)
nonconv[nonconv_inds] = 1.
f_nonconv = np.nansum(nonconv) / npix * 100
return f_small, f_large, f_network, f_plage, f_nonconv
Area Thresholded Unsigned Flux
def area_unsigned_flux(map_mag_obs, imap, area, active, athresh=20):
"""
calculate the magnetic flux for different regions based on area cut
and magnetic activitiy
Parameters
----------
map_mag_obs: corrected observed magnetic field strength Sunpy map object (Magnetogram)
imap: UNCORRECTED Sunpy map object (Intensitygram)
area: area of each active region weighted by its intensity
active: weights array where active pixels have weight = 1
Returns
-------
quiet_flux: magnetic flux of quiet-Sun regions
ar_flux: magnetic flux of active regions
conv_flux: magnetic flux of regions that suppress convective blueshift
pol_flux: magnetic flux of polarized regions
pol_conv_flux: magnetic flux of polarized regions that suppress the convective blueshift
"""
# get data arrays
i_data = imap.data
m_data = map_mag_obs.data
mabs_data = np.abs(m_data)
quiet = 1 - active
# get large regions array
large = np.zeros(m_data.shape)
large_inds = np.logical_and(active > 0.5, area > athresh)
large[large_inds] = 1.
# calculate relevant fluxes
quiet_flux = np.nansum(mabs_data * i_data * quiet) / np.nansum(i_data * quiet)
ar_flux = np.nansum(mabs_data * i_data * active) / np.nansum(i_data * active)
conv_flux = np.nansum(mabs_data * i_data * large) / np.nansum(i_data * large)
pol_flux = np.nansum(m_data * i_data) / np.nansum(i_data)
pol_conv_flux = np.nansum(m_data * i_data * large) / np.nansum(i_data * large)
return quiet_flux, ar_flux, conv_flux, pol_flux, pol_conv_flux


[§5-15] State gem. The black coral is established and designated as the official gem of the State. [L 1987, c 9, §1]


--- layout: post date: 2011-02-18 time: "09:00:00" authors: ["Greg Wilson"] title: Mirroring Software Carpentry tags: ["Community", "Content"] ---
As another followup to the recent post on how to contribute, I'd welcome pointers to places that might host or mirror Software Carpentry material. Efforts like MIT's OpenCourseware and CMU's Open Learning Initiative seem to host only the content they produce themselves; the Khan Academy seems open to contributions, though I don't see any, and then there's Academic Earth. Where else could we put our content to get it in front of more people?


{% extends "base_form.html" %} {% load i18n %} {% block formcontent %}
{% trans "vouchercode_no_accesscode" %}
{% trans "vouchercode_application_note1" %}
{% blocktrans with customer_service_phone_number=customer_service_phone_number %} Need help? Please call Customer Service at {{customer_service_phone_number}}. {% endblocktrans %}


Spacekit is an open-source JavaScript library for creating interactive 3D space visualizations - whether of the Earth/moon system, solar system, or beyond.
You can check out an editable live example on jsfiddle, or look at a variety of live examples on SpaceReference.org.
This library generalizes work that is currently used on Meteor Showers, Ancient Earth, Asterank, and many other sites into a single open-source 3D engine for space that is both accurate and visually stunning.
Download it here or include with:
<script src="https://typpo.github.io/spacekit/build/spacekit.js"></script>
Send an email or open a Github issue if you have questions or want to get in touch!


MICKEY BLUE EYES
Reviewed by Harvey Karten, Ph.D. Warner Bros./Castle Rock Entertainment Director: Kelly Makin Writer: Marc Lawrence, Adam Scheinman and Robert Kuhn Cast: Hugh Grant, Jeanne Tripplehorn, James Caan, James Fox, Burt Young, Scott Thompson
Just when you thought that romantic comedies had to be sappy and unbelievable like "Notting Hill" or silly and just plain unfunny like "Runaway Bride," along comes a film that restores your faith in the genre. With a script loaded with sharp lines delivered with punch and direction that paces the material superbly, "Mickey Blue Eyes" proves that even Hollywood's love for scripts about the mob need not be circular-filed as antiquated. Credit "The Godfather" series for allowing a number of riffs about organized crime and a plethora of films winking at the otherwise deadly serious game of mob rule. "Mickey Blue Eyes" may just be the perfectly ripe pick of the harvest given the strong performances of Hugh Grant in his best role to date and the great James Caan in yet another confirmation of his distinguished thespian craftsmanship.
The comic whirls flow from a proposed marriage between two people who are about as different in their cultural backgrounds as Papuans from Episcopalians--in the efforts of one of the pair to fashion himself into the society of the other. Hugh Grant performs once again in the role of a proper Englishman of high breeding. In this case he is the auctioneer of a posh, Sotheby-style house which sells paintings that are not quite in the class as the million-dollar works hawked in the Duval's House of Francois Girard's movie "The Red Violin," but which are peddled to the connoisseurs and investors alike in a Fifth Avenue property in Manhattan. Screenwriters Adam Scheinman and Robert Kuhn start the gags rolling from the very beginning as the dignified Mr. Felgate pronounces an oil painting of a buxom reclining person "Woman with Massive Bottom." When a client bids $23,000, he determines that this comes to "$11,500 per buttock" to the amusement of the crowd. Perhaps the sight-gag highlight of the film comes in a Chinese restaurant as Michael proposes to his girl friend, Gina Vitale (Jeanne Tripplehorn) after arranging with the owner to stuff a fortune of his choosing into her cookie.
Gina rebuffs the poor guy because she is actually a mob princess, daughter of crime lord Frank Vitale (James Caan) and niece to godfather Vito Graziosi (Burt Young) and does not want Michael to become involved with the wiseguys. The proper young Englishman is then even more determined to fit in with the gangsters, to become like them while somehow keeping his hands clean.
One of gags is positively surreal, even perhaps a riff on some of the junk that art collectors buy purely in the hope of selling at a profit years later. The jest involves a painting done by the son of a mobster featuring an airbound Jesus mowing down an enemy with an Uzi, a monstrosity that somehow is sold for $130,000. What gives Hugh Grant the latitude to turn in a smashing performances involves the many ways he tries to prove to the shady characters that make up his beloved's greater family that he's one of them-- even to the extent to muffling his king's English to say "fuhgeddaboudit" to pass himself off as Little Big Mickey Blue Eyes form Kansas City. In one scene he executes a striptease to distract Gina from evidence linking him with the mob. To gain credibility with the mob he is obliged, in another scene, to rough up his auction-house boss, the even more proper Brit played by the inimitable James Fox.
The action comes to an anarchic conclusion filmed at that celebrated wedding factory, Leonard's of Great Neck, in which the FBI unfolds an intricate plot to arrest the crime boss, Uncle Vito--who is determined to have Michael killed at his own nuptials.
"Mickey Blue-Eyes" features a sound track of bouncy Italian music, particularly Bob Merrill's rousing "Mambo Italiano" and is brightly filmed to best show off New York's color and ambience. The only way this splashy show could have been made even more spectacular would have been to cast Annabella Sciorra as the bride-to-be instead of the insipid Jeanne Tripplehorn.
Rated PG-13. Running Time: 103 minutes. (C) 1999 Harvey Karten
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Recursively Scraping Web Pages with Scrapy
In the first tutorial, I showed you how to write a crawler with Scrapy to scrape Craiglist Nonprofit jobs in San Francisco and store the data in a CSV file. This tutorial continues from where we left off, adding to the existing code, in order to build a recursive crawler to scrape multiple pages.
Updates:
- 09/18/2015 – Updated the Scrapy scripts
Check out the accompanying video!
CrawlSpider
Last time, we created a new Scrapy (v0.16.5) project, updated the Item
Class, and then wrote the spider to pull jobs from a single page. This time, we just need to do some basic changes to add the ability to follow links and scrape more than one page. The first change is that this spider will inherit from CrawlSpider and not BaseSpider.
Rules
We need to add in some Rules
objects to define how the crawler follows the links. We will be using the following rules:
- SgmlLinkExtractor: defines how you want the spider to follow the links
- allow: defines the link href
- restrict_xpaths: restricts the link to a certain Xpath
- callback: calls the parsing function after each page is scraped
- follow: instructs whether to continue following the links as long as they exist
Please Note: Make sure you rename the parsing function to something besides “parse” as the CrawlSpider uses the parse method to implement its logic.
Release!
Once updated, the final code looks like this:
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from craigslist_sample.items import CraigslistSampleItem
class MySpider(CrawlSpider):
name = "craigs"
allowed_domains = ["sfbay.craigslist.org"]
start_urls = ["http://sfbay.craigslist.org/search/npo"]
rules = (
Rule(SgmlLinkExtractor(allow=(), restrict_xpaths=('//a[@class="button next"]',)), callback="parse_items", follow= True),
)
def parse_items(self, response):
hxs = HtmlXPathSelector(response)
titles = hxs.xpath('//span[@class="pl"]')
items = []
for titles in titles:
item = CraigslistSampleItem()
item["title"] = titles.xpath("a/text()").extract()
item["link"] = titles.xpath("a/@href").extract()
items.append(item)
return(items)
Now run the following command to release the spider and save the scraped data to a CSV file:
$ scrapy crawl craigs -o items.csv -t csv
Conclusion
In essence, this spider started crawling at http://sfbay.craigslist.org/search/npo/ and then followed the “next 100 postings” link at the bottom, scraping the next page, until there where no more links to crawl. Again, this can be used to create some powerful crawlers, so use with caution and set delays to throttle the crawling speed if necessary.
You can find the source code on Github.


Theory of Flight
Theory of flight studies the aerodynamics of a plane and explains how planes are able to generate lift and gain the ability to fly.
Four Major Forces
The four major forces acting on an aircraft are lift, drag, weight and trust.
Axis of plane
A plane has three axis: the longitudinal, the lateral and the normal/vertical axis. Movement around the lateral axis is called pitch, movement around the longitudinal axis is called roll, and finally movement around the normal axis is called yaw. Roll is controlled with the ailerons, pitch is controlled with the elevator and yaw is controlled with the rudder. The pilot moves the ailerons by moving the control-stick from left to right, the rudder with the pedals and the elevator by moving the control-stick up and down.
Angle of Attack and lift
The angle of attack is the angle between the chord of the plane and the relative wind. As the angle of attack increases, lift increases, until a critical angle of attack. Past the critical angle of attack the plane will stall as there is no more lift being produced on the wing.
Airfoil and aerodynamics
There is a layer of laminar air flow and turbulent air flow on an airfoil at all times, the angle of attack determines how much laminar air flow flows around the airfoil and how much turbulent air flow is present. When the critical angle of attack is reached, all laminar air flow is replaced with turbulent air flow causing the aircraft to stall. Here is a simulation where you can see this effect for yourself.
Bernoulli's principle
According to Bernoulli's principle air moving faster exerts less pressure than air moving slower. With the shape of an airfoil being curved at the top and flat at the bottom, air needs to travel faster on top of the airfoil in order to arrive at the trailing edge at the same time as air traveling under the airfoil, because it has a larger distance to cover. Because of the pressure difference, a force called lift is created when an airfoil travels through air.
aerodynamics of a spin
When a plane is stalled on one wing, whilst still producing lift on the other wing, a spin occurs. During a spin, the plane is losing altitude and pitched downwards travelling at a constant speed while turning around an axis. To exit a spin, the pilot must apply rudder to the opposite direction of the spin and pitch the nose down in order to unstall the wings, then roll out of the turn to level the wings.


National Day of Civic Hacking is a nationwide day of action to bring together civic leaders and community organizations to tackle some our toughest challenges. Our local event hosted by Code for Denver will focus on Criminal Justice Reform. Activities will include mapping out the journey of a person to get their record sealed.
When: September 21st, 2019
Where: Workability Uptown at the Sudler - 1576 Sherman St, Denver, CO 80203
Bring a Laptop!
We are working to create a complete understanding of how people with convictions in Colorado can have their records sealed. This is a first step to find the friction points for users in the process that can be addressed with either technology or process.
Sealing your record can help remove barriers to housing, jobs, education, and other opportunities. In some cases, there are records that can be sealed for convictions that are no longer a crime.
Our primary idea is to create a journey map for the record sealing process. This will then be used in an ongoing project at Code for Denver's regular project night. We also hope that this artifact will be useful for our partners in advancing legislation, creating reports, and understanding how they can influence the process to be as easy as possible.
We are technologists, programmers, visual and graphic designers, product managers, researchers developers, UX and UI designers, architectural engineers, QA analysts, community organizers, students and entrepreneurs. We are also mothers and fathers, brothers and sisters, and community members. We are all working for a better Denver, a better America and a better tomorrow.


.NET Challenges
Nerdery .NET Challenges in
F#
{document}
Challenges
Home
Challenge 1 - Fibonacci
Challenge 2 - Hashing
Challenge 3 - Repeating Events
Challenge 14 - Political Finances
Challenge 31 - Candy Cane Plants


Job Details
Role Type
Job Title
Proposed Commencement Date *
Attach Position Description
Contact Details
Company Name *
Name *
Email *
Contact Number *
Additional Information


Prototype Check MOT history
Content designer & researcher: Olivia Sharp
UX Designer: Chris Sisk
User research session 11 & 12 July 2017
Work in progress
- Version 2
Updated layout: vehicle details in table format and test date linked to pass or fail hero text.
Average MOT History - Michael's car - Version 2.1
Content overhaul.
Error messages
MOT expiring in one month
MOT expired
Recall
User research session 20 & 21 June 2017
Kainos London office
Intial layout update
- Version 1
Average MOT History - Michael's car - Version 1.1
Long MOT History - Olivia's car


<<< BACK <<<
STM-029: Model-Checking
Authors
Nehai, Zeinab and Piriou, Pierre-Yves and Daumas, Frederic
Venue and Year
ICBC, 2018
Original Work
Model-Checking of Smart Contracts
Defense Modality
Additive
Core Method(s)
formal
Input-Output Mapping
specifications + source code => report
Targeted Contracts
Any Ethereum
Threat Model
Vulnerable contract, malicious contract, or both
both
Targeted Vulnerabilities


By pure chance, I stumbled into a Computer Science class in high school and ended up falling in love with programming. Thanks to my teacher's recommendation, I applied to the University of Waterloo for Computer Science and it turned out to be one of the best decisions I ever made. Waterloo was a wild ride, but I loved every moment of it. I made amazing friends, took some really cool courses, and had the chance to try out six different internships.
In addition to coding, I have a wide range of interests that keep me busy. I’ve always been super into movies and shows (I have obsessively rated over a thousand of them on IMDB). I also love reading (you can check out my Goodreads here). I love traveling and will take any chance I get to explore a new place. I’ve recently started learning piano (a lifelong dream) and I’ve been really enjoying it! I’m also super competitive in any and all games. When I want to break a sweat, you'll find me kickboxing or dancing to my favorite tunes. And I also love learning new languages (currently trying to learn Italian!).
I thrive on pushing my boundaries and taking on new challenges. Nothing excites me more than delving into unfamiliar technologies and languages, and pushing myself to master them. My passion lies in product work, with a focus on frontend and fullstack development. I take pride in creating interfaces that are not only high-performing and visually stunning, but also accessible and user-friendly. Collaborating with designers is one of my favorite things to do, as I love learning about what users truly want and need.
Worked on the Instagram Lite app, which is a lighter and smaller version of the Instagram app, designed to work on lower-end smartphones with limited storage and slower internet connection. Since the app was still in it's early stages, I got to work on a few parity features. I also worked on projects in the following product areas: Reels, Feed and Creation. Python, Java
Worked on the Messenger Desktop app, which at the time I joined, was a 0 -> 1 product and so I got the chance to work a a
large variety of full end-to-end parity features. On my second half in this team,
Farther into my team with this team, I got to focus more on the Calling/Video Conferencing
product area.
React (Typescript), Redux, C++, C#, SQLite, GraphQL
Incorporated two new features into 360 photos to improve the client consumption experience on the web. These features were part of a growth effort to increase awareness regarding sharing 360 media. React, PHP
Refactored client interfaces in React to improve responsiveness. Added new functionality to increase productivity within
the Azure Dashboard interface.
Typescript, jQuery, Less.js
Designed and developed features using Ruby on Rails, Javascript, and RESTful services to drive user productivity, improve the user sign up flow, and stimulate product purchase. Refactored client interfaces in React to improve responsiveness, reduce load time by up to 30%, and increase accessibility. Designed internal operations tools to facilitate feature control and provide visualization on product effectiveness metrics. React, Ruby on Rails, REST APIs
In this position I had the opportunity to directly work with the radiation planning software, RayStation. I designed and
implemented multiple tools and widgets embedded within [worked along] RayStation
to automate and facilitate existing processes. I learned a lot about creating and
designing graphical user interfaces.
Python, IronPython, C#, SQL
As a web developer for IESO, I had the opportunity to work with the company website and intranet. I worked to optimize web
page performance while using a couple javascript libraries. I also implemented scripts
to automate tasks and templates to facilitate user page creation and customization.
This position really allowed me to strengthen and expand my front end development
abilities.
HTML, CSS, JavaScript, PHP, REST APIs
As part of the BueSun team, I was assigned to the project dedicated to adding a bilingual mechanism to the Insurance and
Investment software. I implemented a Java solution that examined and modified program
files to enable this mechanism. I also had the great opportunity to travel to Quebec
to present to current clients the new bilingual features.
Java, SQL, JavaScript, VBScript, Eclipse, MySQL
Spring 2018, 4B
Spring 2017, 4A
Fall 2016, 3B
Winter 2016, 3A
Spring 2015, 2B
Fall 2014, 2A
Winter 2013, 1B
Fall 2013, 1A


<lcInteraction>
The <lcInteraction>
is a wrapper element for all the interactions of the
assessment. The interactions themselves are based on the
<lcInteractionBase>
type. A starter set of interaction types is
defined in the learning domain.
Category: Learning and training: common content elements


Catalog
Edit (pull request)TOSCA types are referred as components in alien4cloud. High level concepts are detailed in this section.
Introduction
TOSCA is at the heart of Alien 4 Cloud, and so is the TOSCA Catalog feature. TOSCA is an open standard from OASIS that allows to define components for cloud deployments in a reusable and eventually agnostic fashion.
The goal of TOSCA is to let users provide building blocks called Types to define the desired topologies from a very abstract level to a very concrete level allowing the actual deployment of the topology. Any abstract element in a topology has to be replaced with concrete implementations in order to allow the TOSCA deployer to actually perform the deployment. Most of TOSCA implementations provides their own implementations for some of the nodes (like the normative ones defined within the standard).
For more informations on TOSCA and supported archive format please go here.
TOSCA Catalog
Alien 4 Cloud TOSCA Catalog is an index of components/elements defined in a TOSCA archive. Among these elements we find two main categories Types (reusable building blocks) and Topologies (Composition and definition of the building blocks to define what a user want’s to deploy).
When adding or creating a TOSCA archive in Alien 4 Cloud the archive is automatically store on a File System but also indexed to provide browsing and search features in your various archives and truly making them reusable for all the people working on the alien instance!
Accessing the catalog
Every user with the role COMPONENT_BROWSER can actually browse the global catalog both to look types or topology templates.
Archive meta-data
In addition to the types and topology in an archive we also index an object that represents the archive and it’s meta-data. This is referenced in alien as the CSAR (for Cloud Service ARchive).
TOSCA Types
The first element indexed in alien 4 cloud are the TOSCA Types. Amongst them we find some high level types used to ease reusability when creating other types:
- Artifact types
- Capability types
- Data types
- Interface types
And some types that can actually get instanciated in a topology:
- Node types (the main building blocks)
- Relationship types (elements that can define how relations between nodes can actually be implemented)
Topologies
Topologies are the second element indexed in alien 4 cloud.
While a TOSCA archive may contains multiple types a single topology can be defined in an archive. The id of a topology in alien4cloud is the same id of the enclosing archive Id.
Workspaces
The goal of workspaces is to provide catalog isolation so that users can upload specific types without sharing them in the global catalog. Thanks to workspaces an application can define not only topologies but also types in their backing archive and benefits from all the indexing features without sharing specific types across the organization or other applications.
Workspace hierarchy
Workspaces are defined in a hierarchy, on top of the hierarchy is the global workspace which basically is the main catalog of components which is managed by users with roles COMPONENT_MANAGER (to add types) and/or ARCHITECT (to add topologies).
Constraints on workspaces
While workspaces provide isolation between the different sub-workspaces there are constraints that alien4cloud enforce for consistency reasons.
- An archive with the same name and version can not exist in multiple workspaces. Indeed we don’t want to allow a same name and version to have different content. If the same content has to be shared between multiple entities then it should lie in an upper workspace so ownership and updates potential is clear.
- An archive in an upper workspace is available for read (COMPONENT_BROWSER) to every child workspace.
- Only COMPONENT_MANAGER (for types) and ARCHITECT (for topologies) can change an archive in the global workspace.
- Any user with role APPLICATION_MANAGER or DEVOPS can change types and topologies in the application (theses users have the COMPONENT_MANAGER and ARCHITECT roles on the application workspace). Every user registered with a role on the application can have read (COMPONENT_BROWSER) access to the application archive content.


Following or about to Follow If an editor is "following" a judge, the judge gets an increase in funding power. If an editor is "about to follow" a judge, she will start following the judge when the next edition becomes current. Until then, funding votes cast by the judge will not benefit from the editor's authority.
Overseen By Editor
This shows funding activity by the judges the editor is following, during an edition.
Award Overseen By
This shows the editors who were following the judge when the award was given.
Editors Overseeing the Most
An editor "oversees" funding if a judge awards money while the editor is following the judge. This page shows how much funding was overseen by each editor during an edition.
Publishing an Edition
When newskraft.org publishes the next edition, it becomes the current edition, and all its awards, follows, and unfollows go into effect. Until then, judges can cancel their awards, and editors can cancel their follows and unfollows.
Follows and Unfollows If an editor follows a judge, the judge's funding power will increase
when the next edition is published. An unfollow will result in a
decrease.
Via N Editors This shows the number of editors following the judge when the award was given.
Recently
This shows recent activity by the person. If the person is an editor, recent follows and unfollows are displayed. Otherwise, recent funding activity is displayed.


---
layout: post
title: Changes!
date: '2013-01-13T21:01:00.000-07:00'
author: Jay Swan
tags:
modified_time: '2013-01-13T21:01:19.489-07:00'
blogger_id: tag:blogger.com,1999:blog-5029689981158113588.post-2684428591786148843
blogger_orig_url: http://unroutable.blogspot.com/2013/01/yee-haw-new-blog-template-trying-to.html
---
Yee-haw! New blog template!
Trying to figure out how to do source code highlighting in a way that doesn't suck or rely on external JavaScript hosting.


The Pokedex Database - Group 67 (CoE Group)
Home
Pokemon
Pokedex
Regions
Types
Teams
Team Links
Mofify Pokemon
This page will contain an overview of specific pokemon, including their Name, Pokedex Number, Classification, Height, Weight, Generation, and Pictures.
Pokemon Picture
Pokemon Name
Pokedex Number
Classification
Type 1
Type 2
Abilities
Generation of Origin
Height in Meters
Weight in Kilograms
Bulbasaur
1
Seed Pokemon
Grass
Poison
Overgrowth, Chlorophyll
1
0.7
6.9


| open |
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css=h2 |
Disclaimers |
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css=strong |
About the Data |
| clickAndWait |
link=About the Tool |
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| verifyText |
css=h2 |
About the Tool |
| verifyText |
css=strong |
exact:How does the Drug Reaction Finder work? |
| verifyText |
//p[3]/strong |
exact:Where does the data come from? |
| verifyText |
//p[4]/strong |
exact:What should I do if I see an adverse reaction or drug interaction in my search results? |
| verifyText |
//p[5]/strong |
exact:My search had zero results. Is the tool broken or are there no possible drug interactions? |
| verifyText |
//p[7]/strong |
exact:Can I search for multiple drugs simultaneously? |
| verifyText |
css=h1 |
Drug Reaction Finder |
| clickAndWait |
link=Search |
|
| verifyText |
css=strong |
Enter the name of one or two drugs to find out if any adverse reactions were reported. |


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Get startedFull stack application
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The Decorate Gatsby


Name :
Address :
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Student CGPA :
Select Your identity :
Student
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This exercise provides starting code. Do you want to overwrite your current code?
Welcome to Giffer Reborn!
This window will outline the features of Giffer Reborn. To see this window again, click "Show Help" under "Tools".
Working with exercises
To load an exercise, type the exercise number into the exercise field and press load.
Some exercises provide some starting code! Be sure to load the exercise before you start working.
If you want to edit the board, or experiment, you should "Clear Exercise".
Debugging
Under the "Debugging" tab, there is a checkbox to "Enable Breakpoints".
If you click next to a line number on the left of your code, you can add a breakpoint.
When breakpoints are enabled, the program will halt execution when it reaches the breakpoint.
Once the program has halted, you can view the current variables and their values.
You can press "Step" to step to the next line of execution, this might take you into a function.
You can press "Continue" to skip to the next breakpoint.
At any time during debugging, you can disable breakpoints to finish executing.
Submitting
Once you've solved an exercise, you can click "Copy Page".
Then, read the directions in the console for how to submit to NEO.
Upload Light Sculpture File
Please select a Light Sculpture file to use. Make yours here.
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Correct FrameManager current FrameManager (as shown by gif)


First of all
i want to say....
Thank you for your time spent checking my portfolio!!
 Thank you for reading this and please Enjoy viewing the projects below


Reneau and Nick were married in a small family ceremony on Friday 8 April at Umlauf Sculpture Garden in Austin, Texas.
Nick and Reneau met over their shared love of Colin MacIntyre’s musical project Mull Historical Society. His new album was released on their wedding day, which also happened to be his birthday. He dedicated this performance of ‘The Ballad of Ivor Punch’ at Rough Trade West in London to the happy couple.
Thanks for recording it, Jennie!


Viz
Demo 1
Demo 2
Save
Reset
MIDI Device:
Algorithm
Operator
On/Off
Frequency
Fixed
EG Rate
EG Level
Keyboard Scaling
Not implemented
Waveform
After Touch
Play
Stop


New Class
Top Concept
Label
Comment
{rdfs:comment}
SubClassOf
Select class
Subject
has Part
Select property
Create


library
Input/Output
Input/Output library
The iostream library is an object-oriented library that provides input and output functionality using streams.
A stream is an abstraction that represents a device on which input and ouput operations are performed. A stream can basically be represented as a source or destination of characters of indefinite length.
Streams are generally associated to a physical source or destination of characters, like a disk file, the keyboard, or the console, so the characters gotten or written to/from our abstraction called stream are physically input/output to the physical device. For example, file streams are C++ objects to manipulate and interact with files; Once a file stream is used to open a file, any input or output operation performed on that stream is physically reflected in the file.
To operate with streams, C++ provides the standard
iostream library, which contains the following elements:
- Basic class templates
- The base of the iostream library is the hierarchy of class templates. The class templates provide most of the functionality of the library in a type-independent fashion.
This is a set of class templates, each one having two template parameters: the char type (charT) parameter, that determines the type of elements that are going to be manipulated and the traits parameter, that provides additional characteristics specific for a particular type of elements.
The class templates in this class hierarchy have the same name as their char-type instantiations but with the prefix basic_. For example, the class template which istream is instantiated from is called basic_istream, the one from which fstream is is called basic_fstream, and so on... The only exception is ios_base, which is by itself type-independent, and therefore is not based on a template, but is a regular class.
- Class template instantiations
- The library incorporates two standard sets of instantiations of the entire iostream class template hierarchy: one is narrow-oriented, to manipulate elements of type char and another one, wide-oriented, to manipulate elements of type wchar_t.
The narrow-oriented (char type) instantiation is probably the better known part of the iostream library. Classes like ios, istream and ofstream are narrow-oriented. The diagram on top of this page shows the names and relationships of narrow-oriented classes.
The classes of the wide-oriented (wchar_t) instatiation follow the same naming conventions as the narrow-oriented instantiation but with the name of each class and object prefixed with a w character, forming wios, wistream and wofstream, as an example.
- Standard objects
- As part of the iostream library, the header file <iostream> declares certain objects that are used to perform input and output operations on the standard input and output.
They are divided in two sets: narrow-oriented objects, which are the popular cin, cout, cerr and clog and their wide-oriented counterparts, declared as wcin, wcout, wcerr and wclog.
- Types
- The iostream classes barely use fundamental types on their member's prototypes. They generally use defined types that depend on the traits used in their instantiation. For the default char and wchar_t instantiations, types streampos, streamoff and streamsize are used to represent positions, offsets and sizes, respectively.
- Manipulators
- Manipulators are global functions designed to be used together with insertion (<<) and extraction (>>) operators performed on iostream stream objects. They generally modify properties and formatting settings of the streams. endl, hex and scientific are some examples of manipulators.
Organization
The library and its hierarchy of classes is split in different files:
- <ios>, <istream>, <ostream>, <streambuf> and <iosfwd> aren't usually included directly in most C++ programs. They describe the base classes of the hierarchy and are automatically included by other header files of the library that contain derived classes.
- <iostream> declares the objects used to communicate through the standard input and output (including cin and cout).
- <fstream> defines the file stream classes (like the template basic_ifstream or the class ofstream) as well as the internal buffer objects used with these (basic_filebuf). These classes are used to manipulate files using streams.
- <sstream>: The classes defined in this file are used to manipulate string objects as if they were streams.
- <iomanip> declares some standard manipulators with parameters to be used with extraction and insertion operators to modify internal flags and formatting options.
Compatibility notes
The names, prototypes and examples included in this reference for the iostream classes mostly describe and use the
char instantiations of the class templates instead of the templates themselves, even though these classes are only one of their possible instantiations. We believe this provides a better readability and is arguably as easy to obtain the names and prototypes of the basic template from the
char instantiation as the opposite.
Elements of the iostream library (char instantitation)
Classes:
- ios_base
- Base class for streams (class
)
- ios
- Base class for streams (type-dependent components) (class
)
- istream
- Input stream (class
)
- ostream
- Output Stream (class
)
- iostream
- Input/output stream (class
)
- ifstream
- Input file stream class (class
)
- ofstream
- Output file stream (class
)
- fstream
- Input/output file stream class (class
)
- istringstream
- Input string stream (class
)
- ostringstream
- Output string stream (class
)
- stringstream
- Input/output string stream (class
)
- streambuf
- Base buffer class for streams (class
)
- filebuf
- File stream buffer (class
)
- stringbuf
- String stream buffer (class
)
Objects:
- cin
- Standard input stream (object
)
- cout
- Standard output stream (object
)
- cerr
- Standard output stream for errors (object
)
- clog
- Standard output stream for logging (object
)
Types:
- fpos
- Stream position class template (class template
)
- streamoff
- Stream offset type (type
)
- streampos
- Stream position type (type
)
- streamsize
- Stream size type (type
)
Manipulators:
- boolalpha
- Alphanumerical bool values (function
)
- dec
- Use decimal base (function
)
- endl
- Insert newline and flush (function
)
- ends
- Insert null character (function
)
- fixed
- Use fixed floating-point notation (function
)
- flush
- Flush stream buffer (function
)
- hex
- Use hexadecimal base (function
)
- internal
- Adjust field by inserting characters at an internal position (function
)
- left
- Adjust output to the left (function
)
- noboolalpha
- No alphanumerical bool values (function
)
- noshowbase
- Do not show numerical base prefixes (function
)
- noshowpoint
- Do not show decimal point (function
)
- noshowpos
- Do not show positive signs (function
)
- noskipws
- Do not skip whitespaces (function
)
- nounitbuf
- Do not force flushes after insertions (function
)
- nouppercase
- Do not generate upper case letters (function
)
- oct
- Use octal base (function
)
- resetiosflags
- Reset format flags (function
)
- right
- Adjust output to the right (function
)
- scientific
- Use scientific floating-point notation (function
)
- setbase
- Set basefield flag (function
)
- setfill
- Set fill character (function
)
- setiosflags
- Set format flags (function
)
- setprecision
- Set decimal precision (function
)
- setw
- Set field width (function
)
- showbase
- Show numerical base prefixes (function
)
- showpoint
- Show decimal point (function
)
- showpos
- Show positive signs (function
)
- skipws
- Skip whitespaces (function
)
- unitbuf
- Flush buffer after insertions (function
)
- uppercase
- Generate upper-case letters (function
)
- ws
- Extract whitespaces (function
)


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This spatial analysis project defines armed conflict geographies as those that are contested by at least two parties - one of which is a governmental force resulting in at least 25 deaths in one calendar year. Varied spatial distribution of conflict rates occur across both dense and more rural human geographies. This spatial analysis finds that small scale conflict hot spots are largely located in Africa, the Middle East and Central and the coastal plains of Southern America; and these conflicts occur throughout both larger scale urban and rural geographies..
GIS PresentationThe 2015 Refugee Crisis has become internationally recognized and lamented by media and international humanitarian workers. The narratives explaining this 2015 crisis allow for the misconception that the crisis has ended as well as began as suddenly as the start of January 2015. Greece, with its southeastern location in Europe has been largely impacted by these population flows coming from both land and sea borders. The flow of vulnerable people to Greece has increased yearly since 2015 (although 2017 saw slightly fewer numbers to 2016). This GIS analysis results in cartographic representaion that demonstrates the continuing increase of flows to Greece to recompense the misconceptions of the past, one year and crisis.
GIS Presentation


This graph compares the average income in dollars, to the number of respondants who claim to have been unable to visit a doctor for financial reasons, even though they felt they needed to (This value is a percentage of respondants of answered "yes"). When using excel to determine the degree of correlation a value of 0.47 was returned, meaning that the data is slightly correlated, but not as heavily as expected. It was hypothesized that there would be strong, direct correlation between the two variables. This Graph only looks at two variables and creates a "tooltip" when moused over, this tool tip displays specific data related to the state. Each state has unique values and can be examined.


Aussie 'Dance Monkey' singer shoots from busking to global success
Sydney - Australian pop hit "Dance Monkey" is topping global charts and has spent a record 16 weeks at number one Down Under, propelling teenager Toni Watson from busking obscurity to instant fame.
Just months ago the 19-year-old, known by the stage name Tones and I, was living in a van and singing on the street in the coastal town of Byron Bay, south of Brisbane.
Now her latest release has reached number one in 18 countries including Britain, France and Germany, as well as at home where it broke the record held by Ed Sheeran's 2017 smash "Shape of You", which spent 15 weeks at the top spot.
Before her debut single "Johnny Run Away" came out in March, Watson had spent a year playing her keyboard in public, too nervous to speak to passersby between songs.
But while she is now selling out shows worldwide, the singer says she looks back on those days with fondness.
"When I was busking, when I was paying for petrol with silver coins or when I was sneaking into hostels so I could park my van up and sleep in it, I had the best time of my life," she told Nova radio.
"Dance Monkey" has racked up more than 500 million plays on Spotify and is the first Australian tune to peak at number one on the streaming service's Global Top 50 chart.
It has even begun to infiltrate the tough North American music world -- it is number two in Canada and 23 in the US, where it jumped 18 places from the previous week.
Although Watson's rapid rise has been fuelled by online platforms, "Dance Monkey" relates the challenges she encountered as a busker trying to capture attention from audiences distracted by smartphones and social media.
"People were so used to being able to swipe to see something different to entertain themselves that the patience had diminished," she told triple j radio.
"You have to be quick... get on with the song."
Watson signed with Warner Chappell Music in August and returned to Byron Bay that month to play at a local music festival.
Her midday set drew a crowd of 20,000 people -- a record for an opening act -- dwarfing anything she ever may have imagined just a year earlier.
Read also
Read More
How Celine Dion found courage to return to music after tragedies
She had lost her husband of 21 years, Rene Angelil, and her older brother Daniel in 2016 after they succumbed to battle with cancer.
Read More
Bon Appetit! Katy Perry enthralls fans with her Firework
During her performance, Katy also told the gathering:"We never want to forget you. It has been seven years since I was last in India. I can't believe myself.  So, it is not going to be seven more years for me to come back."
Read More
Taylor Swift banned from singing own songs; gets swift support
Swift spoke against Big Machine Label Group founder Borchetta and Braun, alleging that they both are refusing to allow her to perform her catalog of songs when she appears at the American Music Awards to receive the Artist of the Decade Award on November 24, reports hollywoodreporter.com.


Key Themes The Web Explained
The web is, in essence, computers communicating with each other using HTML (Hypertext Markup Language) to manage the relevant commands. From a users point of view, going to a web site involves their computer sending an HTTP request to a server. The server then finds the document (the web is really a collection of these HTML documents) and sends it back to the users computer where their web browser displays it on the screen. HTML is always there in the background working away but most of the time the user can't see it. This video does a good job of explaining.
More on HTMLHTML documents form the majority of content on the web. The documents contain both the text and the HTML code which dictates how the text appears in the browser. This is the "mark up" function of HTML - marking up the text using code so that it appears in a specific way. This video gives a good overview.
What's Inside an HTML Document?HTML documents are made up of Elements and Tags. Elements are the bits that make up web pages and tags surround them, giving them meaning. Tags can have a defined beginning and end but this is not always the case. One good example of this is the line break tag where there is no defined end point. Tags help browsers understand the type of content that they are dealing with. Elements can be either in line or block. Block elemts draw an invisible box around the content. This video gives a bit more detail.
Computers Follow Your Instructions LiterallyComputers can acheive impressive things but they depend on the quality of their instructions. Their completely literal interpretation of their instructions can lead to frustrations as a small error by a programmer can have a big impact and require much troubleshooting.


Eli the cat can't keep away from his favourite pub
It’s Saturday, and if you’re lucky enough to not be working, you’re likely in a pub.
Am I envious? Of course not. I love staring at a screen and adjusting my desk chair while the rest of you are getting rounds in.
Anyway. If the pub-going people among us are in need of a team mascot, might we suggest Eli, a delightful ginger cat who absolutely loves going to his local.
Eli regularly attends the Brewdog near his home in Liverpool, heading down to enjoy a glass of lactose-free milk with his best drinking buddy (and owner), veterinary student Molly.
Molly often takes Eli out on a lead, and when she heard that Brewdog allowed pets, she decided to bring her kitty down.
Turns out he loved the place, and now turns up all the time.
Being a cat in a place where cats usually do not hang out, Eli gets quite a lot of attention when he goes for a drink.
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Thankfully he loves all the fuss, happily snuggling up on a chair and accepting treats from other pub-goers.
Molly said: ‘He always gets a lot of attention when he goes out.
‘Everyone always gets so excited when they see a cat on the end of a lead.
‘Most people see the lead and assume it’s a dog. It’s great to watch their faces when they realise it’s a cat.
‘I’ll invite them to come over and say hello and they get so excited.
‘Luckily Eli loves the attention – I think he’s the most sociable cat ever.

Eli is such a regular that he’s gained some fame, with hundreds of followers on his Instagram (where he does more than just lounge around the pub, FYI).
He recently turned up at the vets for a procedure and was recognised by a member of staff.
Molly, who is living in Liverpool while studying veterinary medicine, adopted Eli when he was eight weeks old.
Knowing the risks of letting him out and about in a busy city, she decided Eli would be an indoor cat, and started taking him for walks on a harness and lead so he could get plenty of exercise.
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They started out adventuring in the countryside, but when Molly headed into the city she began taking her ginger pal out to local spots.
His first trip to a bar happened when Molly had been planning to meet some student friends for a few drinks and hadn’t wanted to leave the cat at home by himself.
She brought him along, he loved the atmosphere, and since then they often head to Brewdog to crack open a cold one.
‘Eli’s so used to going out, he loves it,’ says Molly.

‘He’s one of a kind and definitely enjoys coming with us to pubs and bars as he can sit and survey the room.
‘I knew Brewdog was pet-friendly, so I didn’t think twice taking him in there.
‘He had to get used to all the different sights and sounds, but as soon as he learned where they were coming from he wasn’t fazed.
‘I don’t think anyone else in the pub expected a cat to turn up though.
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‘The staff are great, they even have lactose free milk behind the bar, so he can have a little drink with me.’


Uncombinator thinks humans are lazy when they scramble combination locks. Take a reading of the combination visible on a lock after it is scrambled and enter it in the data fields.
Do this enough times and you can greatly reduce the entropy in the combination.
Click on the list to get a nice list of high probability combinations
I know, I know, this site is not TLS protected. But no data is transmitted; it's all stored in local cache.
Please click the save!
The Uncombinator manual can be found here -->
Uncombinator has only been tested in Chrome on a desktop. Mobile touch screen tests have not gone well.
Copyright 2018, Michael Rich
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The Scientific Consensus
The scientific community has reached a strong consensus that global temperatures are rising rapidly as a direct result of billions of tons of carbon dioxide and other greenhouse gas emissions from human-made sources.
The world’s leading scientific body focused on climate change is the Intergovernmental Panel on Climate Change (IPCC), formed in 1988 by the World Meteorological Organization and the United Nations Environment Programme. The IPCC, made up of hundreds of scientists with relevant expertise from throughout the world, evaluates the state of peer-reviewed1 and published climate research every few years. The IPCC first expressed the scientific consensus that climate change is real and caused by humans in 2001. The group of international experts came to the same conclusion in the 2007 IPCC Fourth Assessment Report, stating that all available evidence pointed to a more than 90% probability that human activities are warming the planet.2
The Intergovernmental Panel on Climate Change (IPCC) released the Summary for Policymakers for the Fifth Assessment in September 2013. This report finds that evidence of warming is “unequivocal” and that it is “extremely likely” that human influence has been the dominant cause of that warming. The latest observations illustrate the changes that are already underway. The observations show: increasing atmospheric carbon dioxide concentrations, rising air and ocean water temperatures, declines in the extent of arctic ice, and declining pH in ocean waters.3
To view more information about how climate change has changed over time, and to “plot” your own times series graph using data from 1895 through 2012, please visit the NOAA Plot Time Series Website maintained by the National Climatic Data Center's Climate Services and Monitoring Division.
Every major scientific organization in the United States with relevant expertise has confirmed the IPCC’s conclusion, including the National Academy of Sciences,4 the American Meteorological Society,5 the American Geophysical Union,6 and the American Association for the Advancement of Science.7 The list of international scientific organizations affirming the worldwide consensus on climate change is even longer (see List of Organizations). Several studies have shown that about 97% of climate scientists actively doing research agree that climate change is happening and is human-caused.8,9 A study published in May, 2013 examined 11,944 climate abstracts from 1991–2011 in peer-reviewed scientific literature and affirmed that 97.1% of these scientists endorsed the consensus position that humans are causing global warming.10
Does this mean that no scientific questions remain about climate change? Of course not. Scientists continue their efforts to better understand the many complex issues associated with climate change, including the rate of warming in the future, the specific climate impacts local areas will face, and the future rate of ice melt and sea level rise. The basic, fundamental facts that climate change is occurring and its central cause is human-made emissions are no longer subject to meaningful scientific debate: climate change is real, it's caused by human activities, we are already seeing the effects, and our current path has put us on course for dire results in the not-too-distant future.
The US National Academy of Sciences and The Royal Society cordially invite you to join us for the release of “Climate Change: Evidence & Causes,” a new publication produced jointly by the two institutions. Written by a UK-US team of leading climate scientists and reviewed by climate scientists and others, the publication is intended as a brief, readable reference document for decision makers, policy makers, educators, and other individuals seeking authoritative information on the some of the questions that continue to be asked.
Several studies have shown that about 97% of climate scientists actively doing research agree that climate change is happening and is human-caused.8,9 A study published in May, 2013 examined 11,944 climate abstracts from 1991–2011 in peer-reviewed scientific literature and affirmed that 97.1% of these scientists endorsed the consensus position that humans are causing global warming.10 For more information about scientific consensus around climate change, please visit the American Association for the Advancement of Science "What We Know" website.
Additional Resources
References
1. “Peer Review” is a process used by scientific and scholarly journals to ensure that the articles they publish represent the best scholarship available. When an article is submitted to a peer-reviewed journal, the editors send it out to the other experts in the same field (the author’s peers) for review of the article’s quality and relevance. Journals and publications that are not peer-reviewed rely only on the judgment of the editors, who are limited in number and may not have any relevant expertise.
2. IPCC 4th, Working Group I: The Physical Basis for Climate Change, Summary for Policy Makers at pp. 3, n. 7; 10.
3. IPCC 5th, Working Group I: The Physical Basis for Climate Change, Summary for Policy Makers at pp. 3, n. 7; 10.
4. See Joint Science Academies’ Statement: Global Response to Climate Change . June 7, 2005 (includes U.S. National Academy of Sciences).
5. See AMS, Climate Change – An Information Statement of the American Meteorological Society (Adopted by AMS Council on February 1, 2007) Bull. Amer. Met. Soc., 88.
6. See AGU, Humans Impact Climate, and the Scientific Community has the Responsibility to Educate and Communicate the Implications of Climate Change to the Public and Policy Makers . Reaffirmed February 2012.
7. See AAAS Board Statement on Climate Change . December 9, 2006.
8. Doran, PT and MK Zimmerman (2009). Examining the scientific consensus on climate change. Eos Trans American Geophysical Union. 90(3): p. 22.
9. Anderegg, WRL, JW Prall, J Harold, and SH Schneider (2010). Expert credibility in climate change. Proceedings of the National Academy of Sciences USA. 107: p. 12107-12109.
10. Quantifying the consensus on anthropogenic global warming in the scientific literature. http://iopscience.iop.org/1748-9326/8/2/024024/article


In this stage, you should find an inverse of a matrix. You need to use the knowledge you’ve got in the previous stages. Inverse matrix \( A^{−1} \) is the matrix, the product of which to original matrix \(A\) is equal to the identity matrix. To get the idea about inverse matrices you can watch this video.
\( A \times A^{-1} = A^{-1} \times A = I \)
The identity matrix is the matrix in which all elements of the main diagonal are ones and other are zeros. Example of \(4, 4\) identity matrix:
\(I_{4,4} = \begin{pmatrix} 1 & 0 & 0 &0\\ 0 & 1 & 0 &0 \\ 0 & 0 & 1&0 \\0 & 0 & 0 &1\end{pmatrix}\)
Inverse of a matrix can be found using this formula:
\( A^{-1} = \dfrac{1}{det(A)} \times C^T \)
As you can see it contains a lot of operations you implemented in the previous stages. It is: finding cofactors of all the elements of the matrix, transposition of the matrix, finding the determinant of a matrix, multiplication of a matrix by a constant.
\( det(A) \) is determinant of matrix \( A \) and \( C^T \) is the matrix consist of cofactors of all elements of the matrix \( A \) transposed relatively main diagonal. Inverse matrix can’t be found if \( det(A) \) equals zero. You can look at the calculation example in this video.
Also, you can implement a method that can print a matrix in a readable way - every column would be correctly aligned. And you can round the results by two or more digits.
Below is an example of how your output might look. The symbol > represents the user input. Notice that it's not the part of the input.
1. Add matrices
2. Multiply matrix to a constant
3. Multiply matrices
4. Transpose matrix
5. Calculate a determinant
6. Inverse matrix
0. Exit
Your choice: > 6
Enter matrix size: > 3 3
Enter matrix:
> 2 -1 0
> 0 1 2
> 1 1 0
The result is:
0.33 0 0.33
-0.33 0 0.66
0.16 0.5 -0.33
1. Add matrices
2. Multiply matrix to a constant
3. Multiply matrices
4. Transpose matrix
5. Calculate a determinant
6. Inverse matrix
0. Exit
Your choice: > 0


How to find the relationship between two quantities? For example, what is the dimensional relationship between length and mass.
Then it is easy to find that a combination of cancels the dimension of mass and leaves the inverse of length. That is
As we can see, it is possible to use because we can always restore the units in a deterministic way. are function of mass, length, time, and with give us only one solution of mass, length and time: three equations + three variables.
As we have seen, the three constant can make up a length scale, a mass scale, a time scale. Then what are they?
Planck length:
Planck mass:
Planck time:
Before solving equations, it is good to reform them in to dimensionless ones.
To make the equation dimensionless doesn’t mean we can just divide arbitary terms on both sides. We need to find out the characteristic quantity of the system. For example, we can divide by on both sides of Schrodinger equation for Harmonic Oscillators. This is a good step because is the characteristic energy scale of system. At the same time, we can make the length terms dimensionless using the characteristic length. DO NOT use an arbitary length!