Feature: Best Nintendo DS Games
As voted for by you
by Gavin LaneToday is the 15th anniversary of Nintendo DS' launch and in honour of the occasion we're bringing back this reader-voted list of the 50 best Nintendo DS games, originally published back in August. Remember, this ranking is governed by Nintendo Life User Ratings and even now it can change depending on the scores. Feel free to rate your favourites and, perhaps, rejig the ranking below. Enjoy!
The 30th anniversary of the Game Boy's arrival on North American shores got us thinking about the unlikely upstart system that stole its portable crown and permanently ousted the mighty Game Boy brand from Nintendo's lineup. It's strange to think back to a time when the Nintendo DS - that odd-looking folding system - was positioned as a 'third pillar' alongside GameCube and Game Boy Advance before it promptly slayed the Boy king and took his throne.
The original prototype and even the initial 'Phat' version of the hardware certainly didn't look like much of a threat. The early reveal model Reggie pulled from his pocket looked undeniably clunky, especially up against the sleek elegance of Sony's PSP. There was a nervousness from fans that Sony's arrival on the handheld market was the death knell to Nintendo's dominance in the same way it had been with the home console market nearly a decade earlier.  Nintendo seemed to be grabbing at straws, and inexplicably jumping off the good ship Game Boy, scuppering its flagship handheld for no good reason.
The gamble paid off, though, and the Nintendo DS became the first movement in a blue ocean strategy that Nintendo President Satoru Iwata would soon employ on the company's home console line with the Wii. With its approachable touchscreen input and huge breadth of software to appeal to audiences old and young, gamer and non-gamer alike, the DS helped bring handheld gaming to the masses which had felt 'excluded' from the Game Boy phenomenon for whatever reason.
Software like Brain Training and Nintendogs sat alongside core RPGs and classic games on a system that could be as wacky or as straight-laced as a developer desired. Gamers' favourite franchises continued to arrive in fresh forms while games like Animal Crossing: Wild World found a huge new audience, too. Perhaps the biggest compliment we can pay the Nintendo DS is that it made us forget entirely about the retirement of the 'Game Boy' brand - it's got one hell of a library!
We asked you to score for your favourite Nintendo DS games and, thanks to your User Ratings, the following ranked list of 50 games has congealed into existence. It's a very fine selection, but not one that's set in stone. This list can still evolve as games receive user scores, so don't worry if you missed out on 'voting' - simply scroll down and do so now! Be sure to check out our feature on the 50 best Nintendo 3DS games if you want to compare this console's lineup with its successor.
For now, though, we proudly present the 50 best Nintendo DS games ever...
50. Solatorobo: Red the Hunter (DS)
Publisher: Bandai Namco (2) / Developer: CyberConnect2
Release Date: 27th Sep 2011 (USA) / 1st Jul 2011 (UK/EU)
Solatorobo: Red the Hunter is a game crafted with care and painstaking detail, incorporating a lengthy, well-written story with engaging battle mechanics and an impressive variety of quest styles. If text-heavy Japanese RPGs don’t appeal to you, then this may not be a great fit. However, those seeking an original, attractive experience that might have slipped your notice should hunt this game down.
49. Mario & Luigi: Partners In Time (DS)
Publisher: Nintendo / Developer: Nintendo
Release Date: 28th Nov 2005 (USA) / 10th Feb 2006 (UK/EU)
Although everyone has an individual preference, and Mario & Luigi: Partners in Time may not be the strongest game in the series, that's more a reflection of just how great the Mario & Luigi games are. While the story might hover just below the level of other instalments, it's still creative, appealing and laugh-out-loud funny, and mastering the four-button setup of battles is as fun as ever. Bowser's Inside Story might have the edge, but it's tough to go wrong with this series.
48. Contra 4 (DS)
Publisher: Konami / Developer: WayForward
Release Date: 13th Nov 2007 (USA)
Contra 4 isn’t for everyone. The difficulty level, even when set to ‘Easy’, is quite frankly on the insane side. But with such a series you have to accept that this is intentional; a Contra title that doesn’t pose a stiff challenge isn’t worthy of the name.  It's an impeccably crafted blast-a-thon of the highest standard.
47. Pokémon Diamond & Pearl (DS)
Publisher: Nintendo / Developer: Game Freak
Release Date: 22nd Apr 2007 (USA) / 27th Jul 2007 (UK/EU)
Doing our best to avoid spouting Prince lyrics, what is there to say about Pokémon Diamond & Pearl? The core experience holds up as well as it ever did and, at the time, these were the greatest Pokemon games ever created. As with so many video games successful enough to spawn a never-ending series of sequels, each entry is destined to settle beneath its successors, compacting down with the passing of time until they're mere fossils - worth treasuring and remembering, yes, but not worth actually playing, right?
We guess that's the price of success and progress, but while Diamond & Pearl might not boast the refinements we're now accustomed to, they're still excellent Pokémon games and deserve to be taken off the shelf and played with once in a while. They're sure to make you a happy boy or a girl.
46. Meteos (DS)
Publisher: Nintendo / Developer: Q Entertainment
Release Date: 27th Jun 2005 (USA) / 23rd Sep 2005 (UK/EU)
A tile-matching game from producer Tetsuya Mizuguchi, the developer behind such memorising titles as Rez, Lumines and, more recently, Tetris Effect, Meteos was an early puzzle hit in the life of the DS and a is good enough to stand proudly in the company of the very best in the genre. Discovering that quickly swiping the stylus across the screen often gave better results that consciously puzzling your way through was a minor disappointment, but those who avoided that temptation found a brilliantly addictive game - one that occupied our cart slot for many months.
45. Super Mario 64 DS (DS)
Publisher: Nintendo / Developer: Nintendo EAD
Release Date: 20th Nov 2004 (USA) / 11th Mar 2005 (UK/EU)
If you've never played Super Mario 64, you may want to start with the original due to its vastly superior control system and the fact that your life will be improved immeasurably for having played it as nature intended. On the original DS, this version controls too awkwardly to compare. However, the analogue nub of the 3DS transforms the way this game plays, placing it much closer to the feel of the N64 classic. The DS remake takes a stone cold classic and augments it with new characters and minigames that make a playthrough more than worthwhile it if you've played the original to death.
44. New Super Mario Bros. (DS)
Publisher: Nintendo / Developer: Nintendo EAD
Release Date: 15th May 2006 (USA) / 30th Jun 2006 (UK/EU)
Decried by some as mere shadows of the original games, there's no denying the popularity of the New series. The original New Super Mario Bros. may well give off a "been there, done that" vibe these days, but it opened up the series to entirely new generation. Us dinosaurs can pine for our pixels, but there's still a remarkably solid Mario platform game here. No, it's not the pinnacle of the series, nor is it absolutely essential in the grand scheme of things, but there's still plenty to like.
43. Advance Wars: Days of Ruin (DS)
Publisher: Nintendo / Developer: Intelligent Systems
Release Date: 21st Jan 2008 (USA) / 21st Jan 2008 (UK/EU)
Advance Wars: Days of Ruin is the last we saw of Intelligent Systems' 'Wars' series on any system and is one of the best games available on the DS. The system lends itself well to strategy titles, and although some may find the change in style from the previous game unnerving, additions like online play made the change worth bearing. In all honesty the more sombre tone made the message of the game - that war can destroy lives - a little easier to digest than it would have been sporting the colourful style of previous entries. It’s a difficult game, but the gratification you get when a battle is finally won after hours of relentless toil is priceless.
42. WarioWare Touched! (DS)
Publisher: Nintendo / Developer: Nintendo SPD
Release Date: 14th Feb 2005 (USA) / 11th Mar 2005 (UK/EU)
WarioWare Touched! might not have quite the wow factor that it had upon release, but it's overflowing with the maniacal energy that makes the series such a blast, regardless of platform. Despite being an extremely short experience (with the main mode easily completable in an hour or so), and featuring incredibly simplistic gameplay mechanics, the DS entry still has plenty to offer. The sheer abundance of microgames and the game's colourful visuals, quirky humour and wonderful soundtrack make it a timeless experience and worth catching up with all these years later.
41. Professor Layton and the Last Specter (DS)
Publisher: Nintendo / Developer: Level-5
Release Date: 17th Oct 2011 (USA) / 25th Nov 2011 (UK/EU)
Professor Layton and the Last Specter is another yet top-quality game in a truly brilliant series. Known as The Spectre's Call in Europe, this was the fourth entry in the series and a prequel to the previous trilogy of games. Combining a thrilling narrative with its trademark puzzles, it challenges your mind in a way very few games seriously attempt to do, and the feeling you get when you solve a particularly difficult puzzle is less one of relief than it is a desire to leap ahead in the game and find the next one. Any list of the finest DS games is bound to be lousy with Layton, and with very good reason. Jolly good show, Hershel.


Event Location:
5426 Bay Center Dr
Tampa, Florida
Abstract:
This session will begin with the tasks necessary to model a dimensional data structure to maintain and present geographic data. We will discuss various requirements that can affect a data model such as granularity, surrogate keys, slowly changing dimensions. Real life examples and solutions will provided to give better context to each step in the process. After the data structure has been created we will focus on how to best “clean” and validate the geographic data. We will focus on using SSIS to obtain latitude and longitude and then how this can be converted SQL Server spatial types. Finally we will cover presenting this data using SSRS and Power Map and how to create dynamic and aesthetically pleasing graphical reports. This portion of the session concentrates on presenting reports using the geographic data type that answer specific questions such as: Events that occurred at a specific address, zip code, and even block range and events within a mile radius.
Speaker(s): David Dye,
Abstract:
As a BA/BI Professional you are in a key position of influence. Helping to guide your organization to embracing automation of testing, deployment and configuration will help your company deliver better, safer software faster. If you are interested in understanding automation’s role • What is automation, really? • Why is it important to me and my company? • Is this just one more thing to learn and do? • Where do you start? • When to start? • How can I be an influencer? • What’s in it for me? • What’s automation’s role in Big Data Mike has spent years successfully helping companies start or restart their path to automation. For some years Mike has had a passion for automating tasks processes related to the Software Development Lifecycle (SDLC), helping companies deliver the business value of their software more rapidly.
Speaker(s): Mikey Nelson,
Abstract:
In this session, Dmitri will talk about internal structure of Clustered Columnstore Indexes. He will demonstrate how to design ETL processes and Columnstore Index Maintenance routines in the way that improve query performance in the system. Finally, Dmitri will discuss how to utilize Columnstore Indexes in reporting solutions that work with volatile data in OLTP environments.
Speaker(s): Dmitri Korotkevitch,
Abstract:
Join Mike as he shows you how to be prepared for technology job interviews. Learn the do's and don'ts of interviewing for technology jobs. Learn what your resume says about you and your ability to grow. Learn how passion can overcome a lack of skills.
Speaker(s): Mike Davis,
Abstract:
This session will demostrate how you can reuse a PowerShell script in SSIS "Script Task" component as part on a ETL flow. I'll be showing some basic .NET Script code in both C# and VB. I'll be adding some useful tips when re-using existing Powershell code. Integrating different .NET technologies in a SSIS package: C#, VB.NET, XML, and PowerShell. Everyone is welcome to attend.
Speaker(s): Maximo Trinidad,
Abstract:
In this session we will explore the multitude of ways that you can make your reports adapt to the needs of your users. This will include defining formats based on the data contents. We will explore how to refine layouts based on the data to be delivered. We will demonstrate how to create a parameter driven data source. We will take a look at how creating templates can give your catalog of reports a more professional look. All of this together will empower you to have more control over the reports you create.
Speaker(s): Pam Shaw,
Abstract:
A session focused on ramping you up on what Hadoop is, how its works and what it's capable of. We will also look at what Hadoop 2.0 and YARN brings to the table and some future projects in the Hadoop space to keep an eye on.
Speaker(s): Joe Rossi,
Abstract:
As a hiring manager, I see the same mistakes over and over again. In this session we'll talk about common mistakes in resumes, interviews, social media and how you can avoid them. We'll also discuss lost opportunities and how not to miss them. This information applies to both internal and external candidates.
Speaker(s): Leigh Freijo,
Abstract:
In this hour I will show you how to set up a Big Data environment, how to load and transform data, and how to access the data using Hadoop and Microsoft utilities. I will leave you with all of the pieces, parts, instructions, and additional experiments to set up your own environment and get some actual stick time. This is part one in a three part series which will take you from setting up your environment to basic analytics to applying analytics to business decision making.
Speaker(s): Michael Reed,
Abstract:
The problem with the old way of organizing and analyzing data in RDBMS is that it is painfully slow, incomplete and costly. We are obligated to be selective and work with data in small chunks. In the best case scenario we partitioned our data and archived it with the hope to eventually use it, but the fact is that when data is being archived, usually, it is never used again. We don’t even bother with collecting all the data due to economics and technical limitations. In this presentation I will introduce BI and Big Data, explain advantages and disadvantages of OLTP, OLAP and Big Data.
Speaker(s): Frank Quintana,
Abstract:
SQL Server Reporting Services have many useful but not well-known features. Many BI developers do not know how to create interactive reports or reports with dynamic columns; how to use JavaScript in reports or display an image in multiple columns. Come to this session and you will learn 12 useful tips and tricks, which will help you to make impressive reports and simplify their development.
Speaker(s): Andrey Korshikov,
Abstract:
Building an SSAS cube isn't for everyone. PowerPivot is! This session is for anyone who wants to get started in PowerPivot. Join us as we build a PowerPivot model from the ground up and then create some reports, all in just over an hour. Learn how to use data from existing sources, such as SQL Server databases or Analysis Services, as well as how to integrate currently unrelated data from sources such as Excel workbooks.
Speaker(s): Mitchell Pearson,
Abstract:
Take your Power BI analytics skills to the next level. In this session we will introduce and walk-through a variety of popular advanced analytic techniques and tools. We will cover prescriptive and predictive analytics, methodology and tools including but not limited to Microsoft Power BI: Excel, Power Pivot, Power Query, SQL Server Data Mining, Predixion, Frontline Systems Solver and R. Advanced analytics lifecycle topics discussed include choosing the right analytic technique and tool, data preparation, developing analytic models, evaluating models and implementing analytics into smart reports, dashboards, business processes and applications.
Speaker(s): Jen Underwood,
Abstract:
In this hour I will build on the exercises in Part 1 of this series. I will cover more advanced data acquisition and transformations, building 'tidy' data sets, plotting and visualizations, and basic data mining using a variety of tools and utilities. This is part two in a three part series which takes you from setting up your environment to basic analytics to applying analytics to business decision making.
Speaker(s): Michael Reed,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/pub/dmitri-korotkevitch/5/980/b7
Contact: http://aboutsqlserver.com
Dmitri Korotkevitch is a Microsoft Data Platform MVP and Microsoft Certified Master, author of Pro SQL Server Internals and other books with years of experience working with SQL Server as an Application and Database Developer, Database Administrator, and Database Architect. Dmitri specializes in the design, development, and performance tuning of complex OLTP systems that handle thousands of transactions per second around the clock. He blogs at: http://aboutsqlserver.com.
LinkedIn: https://www.linkedin.com/in/jenunderwood
Contact: http://www.jenunderwood.com
Jen Underwood is a Senior Director at DataRobot. Over the past 20 years, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has a unique blend of product management and “hands-on” experience in data warehousing, reporting, visualization, and advanced analytics. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data to solve complex problems with machine learning. Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego.
David is a Sergeant with the Cape Coral Police Department and currently works as a database administrator and developer in the Administrative Services Division. He began his career with the police department in 1990 in the patrol division and worked various assignments until being promoted to Sergeant in 1998. Based on his education and experience David was assigned to his current position in 2002 and is responsible for database administration, software integration, and development for public sa
LinkedIn: http://www.linkedin.com/in/mikedavissql
Contact: http://MikeDavisSQL.com
Mike Davis, MCITP, is a Consulting Team Lead at Pragmatic Works. He is an author with books covering Business Intelligence and SSIS. Mike is an experienced speaker and has presented at many events such as several SQL Server User Groups, Code Camps, SQL Server Launches, SQLSaturday, and SQL Rally. Mike is an active member at his local user group (JSSUG) in Jacksonville, FL.
Contact: http://bigdatajoe.io/
“Big Data Joe” is the Engineering Lead and Big Data Architect at Trace3's Big Data Intelligence Practice. Joe is certified in most Hadoop distributions as an administrator, engineer and developer. Joe is the technical Big Data evangelist for Trace3 and speaks at T3’s workshops, training sessions and events. He has 16 years of experience in the IT field as hands-on engineer with startups to Fortune 5 companies. He enjoys sharing his findings and helping others make sense of new technologies.
LinkedIn: http://www.linkedin.com/in/FrankQuintanaDataArchitect
Contact: http://www.businessintelligencematters.us
Doctor Quintana has been involved in optimization and math modeling since the ’80s. He is an IT University professor of Data Science, Databases, Data Mining, and Knowledge Discovery. He is a former head of an RD department. He worked as a research engineer at the Memorial University of Newfoundland. He also worked as a consultant in the role of a technical team leader and software architect for EDS responsible for critical parts of the SDLC for multi-million dollar projects. He is one of the Software Architects that designed and built the "Health and Benefits System for the of the Veteran Affairs of Canada" He is a regular speaker at national and international events In 2004 he started his consulting practice in South and Central Flori
LinkedIn: https://www.linkedin.com/profile/view?id=7999720amp;trk=hp-identity-name
I have been working with SQL Server for 14 years, have a background in business, worked in the Microsoft Online Services Division, Behavioral Targeting group, am employed by Pragmatic Works as a Senior BI Consultant. I am studying Data Science through online certificate programs and bring this experience to my presentations. I am particularly interested in how to apply Big Data to solve business problems.
LinkedIn: http://www.linkedin.com/in/leighfreijo/
Leigh Freijo is a Manager in Database Administration for Raymond James Financial. Leigh is an experienced SQL Server DBA and the chapter leader of the Pinellas SQL User Group.
LinkedIn: https://www.linkedin.com/profile/view?id=7999720amp;trk=hp-identity-name
I have been working with SQL Server for 14 years, have a background in business, worked in the Microsoft Online Services Division, Behavioral Targeting group, am employed by Pragmatic Works as a Senior BI Consultant. I am studying Data Science through online certificate programs and bring this experience to my presentations. I am particularly interested in how to apply Big Data to solve business problems.
LinkedIn: http://www.linkedin.com/in/pshaw1129/
Contact: http://sqlpam.wordpress.com/
Pam Shaw has been in IT for over 30 years. Since 2001, Pam has been working with SQL Server, first 2000, then 2005, 2008, 2008 R2, 2012 and now 2014. Pam currently works as a BI Developer as an independent contractor. Pam is also the Chapter Leader of the Hillsborough SQL Users Group PASS chapter and organizer of SQLSaturday Tampa.
Работать с SQL Server начал в 2003 году. Довелось работать и сдавать сертификационные экзамены по версиям SQL Server от 2000 до 2012. Участник конференций SQLSaturday, Платформа, DevCon и TechEd. География выступлений от Тампы до Красноярска, от Санкт-Петербурга до Тбилиси. Основатель сообществ Krasnodar SQLamp;BI Usergroup и Global Russian Virtual Chapter. На данный момент являюсь PASS Regional Mentor for Central Eastern Europe.
Contact: http://www.mitchellpearson.com
Mitchell is an experienced Business Intelligence Consultant and Trainer at Pragmatic Works and is currently the content training manager leading content development and delivery of training courses. Mitchell is experienced developing BI solutions using the full Microsoft BI Stack (SSRS, SSIS, and SSAS) as well as Microsoft Power BI. He is also very active in the community speaking at SQLSaturday events, local user groups, and online virtual events. Mitchell also blogs at mitchellpearson.com.
LinkedIn: Linkedin: http://www.linkedin.com/pub/max-trinidad/12/47/775/
Contact: http://www.maxtblog.com
Maximo Trinidad (Florida Aka – Mr. PowerShell), currently work as a SAPIEN Technologies Evangelist and specialing in scripting automation on SQL Server Microsoft Cloud Technologies. Also a Microsoft MVP (PowerShell) since 2009 and active speaker since 2007 participating at SQLSaturday, IT Pro .NET Code Camps events.
Contact: http://www.therealmikenelson.com
For years Mike has had a passion for automating tasks processes related to the Software Development Lifecycle (SDLC), helping companies deliver the business value of their software more rapidly. Whether establishing from scratch, working with a company’s existing Automation Toolset or identifying gaps in the set for appropriate additions, building a new team or augmenting or mentoring an existing team, I bring the clarity and experience required to get the job done quickly efficiently.
The following is a list of sponsors that helped fund the event.


Patrick D. Schloss, PhD (@PatSchloss)
Department of Microbiology &
Immunology
http://bit.ly/EDAMAME_mothur_2017
AltMetrics:
| # Samples | #F Primers | #R Primers | Reads/Sample* |
|---|---|---|---|
| 96 | 12 | 8 | 156250 |
| 192 | 12 | 16 | 78125 |
| 384 | 24 | 16 | 39062 |
| 1536 | 48 | 32 | 9766 |
| Region | Length | Error rate after making contigs (%) | Error rate after pre.cluster (%) |
|---|---|---|---|
| V3-V4 | 429 | 0.41 | 0.26 |
| V4 | 253 | 0.04 | 0.01 |
| V4-V5 | 375 | 0.57 | 0.26 |
| "V3-V5" | 260 | 0.06 | 0.02 |
| Sample | V3-V4 | V4 | V4-V5 |
|---|---|---|---|
| Mock - PC(20) | NA | 21.4 | 83.5 |
| Mock - actual | NA | 32.4 | 126.2 |
| Mouse | NA | 135.7 | 145.7 |
| Human | NA | 121.6 | 187.8 |
| Soil | NA | 1271.3 | 1221.2 |
| Region | Length | 250PE error rate after making contigs (%) | 300PE error rate after pre.cluster (%) |
|---|---|---|---|
| V3-V4 | 429 | 0.41 | 0.80 |
| V4 | 253 | 0.04 | 0.04 |
| V4-V5 | 375 | 0.57 | 0.90 |
| "V3-V5" | 260 | 0.06 | NA |
| method | what it does... | reference |
|---|---|---|
make.contigs |
assemble reads | Kozich et al. 2014 |
screen.seqs |
remove bad reads | |
unique.seqs |
collapse duplicate reads | |
count.seqs |
count frequency of each sequence in each sample | |
align.seqs |
align sequences to a reference | Schloss 2009, Schloss 2010 |
filter.seqs |
trim reads to same alignment space | Schloss 2013 |
pre.cluster |
remove one and two offs | Schloss et al. 2011 |
chimera.uchime |
identify and remove chimeras | Edgar et al. 2011 |
classify.seqs |
classify sequences against a database | Wang et al. 2009 |
remove.lineage |
remove contaminants | |
cluster.split |
assign sequences to OTUs | Schloss & Westcott 2011 |
phylotype |
assign sequences to phylotypes | |
make.shared |
generate sample by OTU frequency table | |
clearcut |
generate a neighbor-joining tree | Sheneman et al. 2006 |
You must enable Javascript to view this page properly.
mothur-1.39.5
AMI


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Hood River Retreat / Wittman Estes Architecture + Landscape
- Curated by Paula Pintos
- about 16 hours
Cabins & Lodges · Hansville, United States
- version="1.0" encoding="UTF-8"? Architects: Wittman Estes Architecture + Landscape
- AreaArea of this architecture projectArea: 80.8 ft2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2018
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Andrew Pogue
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: Carl Hansen, Herman Miller, Lindal, Poul Kjaerholm, Van Keppel Green, Whirlpool
- Design Team Matt Wittman AIA LEED AP, Jody Estes, Naomi Javanifard, and Erica Munson
- Structural Engineer Strongworks Structural
- Builder Jack Colgrove Construction
More Specs Less Specs
Text description provided by the architects. A series of family cabins hidden in the forest and overlooking Washington's Hood Canal, the Hood Cliff Retreat is located on a 1.13-acre site atop a bluff on a wooded site on the western shore of Hood Canal in the Pacific Northwest. Built on the site in 1962, the original dark and opaque cedar cabin left the owners feeling cut off from nature, and they asked for an indoor-outdoor retreat that would allow them to be closer to the land and also house an expanded program of three additional bedrooms and sleeping quarters for their extended family. The project has three elements: 1) The repurposed 20’x20’ footprint of the original cabin, 2) the cabin addition, and 3) a new bunkhouse and bathroom to the north.
The clients include owner, Pat Troth, who had a career in hydrology and forestry and had a deep love for trees, soils, and the richness of the natural world. Her husband, John Troth, is a wildlife photographer who travels internationally to capture images of birds and other animals in their native habitats. Their grown children work as natural resource scientists and spend much of their time deeply engaged with the outdoors. With John and Pat living in Indiana, their son John in Toronto, and Ashley in North Carolina, the family yearned for a place to draw them together in one place. The vision was a retreat where the family could be together and celebrate their passion for being outdoors and connect with the native flora and fauna of Hood Canal.
The clients wanted a retreat where they could watch birds and take in the nature of the Hood Canal. While they loved modern architecture, they did not want a building that was overly expressive of itself. They asked for a set of simple structures that would allow them to be close to the land. This resonated with Wittman, who had an appreciation for the simple vernacular structures of his rural childhood on a ranch in northern Idaho, and designs buildings allowing people to “experience the beauty of nature through architecture.” The Troth family sought a place where their friends and family could gather together while also experiencing a moment of solitude and reflection. The three single-story volumes with large glass openings, sliding doors, and continuous decks allow for such gathering and reflection.
The architecture defers to the landscape – inspired by nature and in particular the native killdeer bird. “Unlike most birds, the killdeer don’t bring outside vegetation to build its nest - it pulls away from the existing brush, burrowing into the existing forest, and nesting on the ground,” says Wittman. Hood Cliff Retreat seeks a similar relationship with the ground that feels both connected to and protected from the elements of nature.
Reclaimed beams and siding from the original cabin were re-purposed as countertops and interior cladding. Simple details and a restrained material palette kept the construction budget to a minimum. Sunlight warms the plywood walls and ceilings, grazing the warm cedar boards and cast-in-place concrete – allowing shadow and light to transform the simple interior into something more complex and subtle. In the main cabin, the indoor-outdoor kitchen has a pass-through window that extends the interior countertop into the outdoor concrete counter and built-in wood barbeque. There is a built-in Murphy bed that allows the main cabin to be a flexible sleeping area when needed. High clerestory windows allow views outdoors and natural light inside.
A reclaimed cast iron tub in the master bath creates the feeling of soaking in the outdoors without interrupting moments of repose. Outside, the rough sawn cedar siding and cement panel finish patina naturally over time until the cabin volumes converge with the colors of the forest. This inside-outside connection is how the architects approach building sensitively in nature. The three dwelling structures are a continuous interconnected series of experiences composed to celebrate the beauty of family gathering in natural sunlight and fresh air. The retreat is an expression of Wittman Estes’ “tactile modernism,” connecting the family to the sensation and physical experiences of the Puget sound ecosystem in a place that is beautiful, functional, and built for the sustainable long term enjoyment of the nature-loving Troth family.


Mango core data structures and functions of the mango 3D image processing package.
| Dds | Mango distributed array (DistributedDataStruct) python API. |
| mtype(name) | Image type for mango Dds distributed array objects. |
| DdsNonHaloSubDomain | Non-halo-sub-region data associated with MPI domain decomposition of a Dds object. |
| DdsHaloSubDomain | Halo-sub-region data associated with MPI domain decomposition of a Dds object. |
| DdsMpiInfo | MPI data associated with sub-domain of a Dds object. |
| DdsMetaData | Meta-data associated with a Dds object. |
| empty(shape[, dtype, mtype, halo, mpidims, ...]) | Creates an uninitialised Dds object of specified global size. |
| empty_like(dds[, shape, dtype, mtype, halo, ...]) | Create a new Dds object of same type/shape/MPI-layout as a specified Dds object. |
| zeros(shape[, dtype, mtype, halo, mpidims, ...]) | Creates an zero-initialised Dds object of specified global size. |
| zeros_like(dds[, shape, dtype, mtype, halo, ...]) | Create a new Dds object of same type/shape/MPI-layout as a specified Dds object. |
| ones(shape[, dtype, mtype, halo, mpidims, ...]) | Creates an one-initialised Dds object of specified global size. |
| ones_like(dds[, shape, dtype, mtype, halo, ...]) | Create a new Dds object of same type/shape/MPI-layout as a specified Dds object. |
| copy(dds[, shape, dtype, mtype, halo, ...]) | Copy-create a Dds object from an existing Dds object. |
These reduction operations use MPI all-reduce operations to calculate reductions over all non-halo parts of the sub-domains.
| minmax(input) | Returns Dds element-wise (min, max) pair. |
| sum(input[, dtype]) | Returns sum of all non-masked Dds elements. |
| sum2(input[, dtype]) | Returns sum of all non-masked Dds elements-squared. |
| count_equal_to(( (object)input, ...) | Count the number of non-masked voxels which have intensity equal to val. |
| count_not_equal_to(( (object)input, ...) | Count the number of non-masked voxels which have intensity not-equal to val. |
| count_less_than(( (object)input, ...) | Count the number of non-masked voxels which have intensity strictly less than val. |
| count_masked(( (object)input) -> object :) | Count the number of voxels which have the mask value. |
| count_non_masked(( (object)input) -> object :) | Count the number of voxels which do not have the mask value. |
| unique(input) | Returns sorted list of unique values in the specified input Dds array. |
| itemfreq(input) | Like scipy.stats.itemfreq(), returns a frequency count for the unique element values of the input array. |
| have_same_subd_decomp(dds0, dds1) | Returns True if pairs of non-halo-sub-domains on all processes have the same (global) non-halo-sub-domain origin index and same non-halo-sub-domain shape. |
| isDds(obj) | Returns whether specified obj is an instance of a mango.Dds. |
| setLoggingVerbosityLevel(...) | Sets the mango C++ filter logging level. |
| getDdsMtypeList() | Returns the list of possible mango.mtype objects for the mango.Dds mtype attribute. |
| gather(( (object)input [, ...) | Gathers MPI distributed sub-domain arrays to one (all) MPI process (processes). |
| copy_masked(src, dst[, srcval, srcmask, dstmask]) | Copies masked elements from the src array into the dst array. |
| copy_non_masked(src, dst[, srcval, srcmask]) | Copies non-masked elements from the src array into the dst array. |
| map_element_values(input, ufunc[, mtype, ...]) | Maps each element value if input array to new value calculated by ufunc. |
If True, support for MPI parallelism has been compiled in the python shared-object modules.
If True, development/prototype API is available in various modules.
If True, the mango.recon module API is available.
If True, only the mango.core module API and the mango.recon module API are available.
If True, the mango.image.registration module API is available.
If True, all distributed array element accesses are range-checked.
If True, mango has support for the 16 bit floating point types mtype("float16") and numpy.float16 .


About this template
This template contains three pages, with sample Services and Portfolio pages. This is another older design for own my site, which I have also decided to release as an open source template under Creative Commons Non-Commercial.
If you use the template, please retain the "Template Design by MLP Design" tag and link in place. For commercial use, please contact me.
Please DO NOT use the template in adult or adult-oriented websites!
The Unordered List
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Sed eleifend laoreet magna. Donec auctor libero id massa.
- Unordered list without a link
- Unordered list with a link
- Linked unordered list
The Ordered List
Aenean sit amet enim ac urna dictum lobortis. Praesent convallis sapien eu tortor. Phasellus eros tortor, lacinia ut, pellentesque in, venenatis in, elit.
- Numbered List One
- Numbered List Two
- Numbered List Three
- Numbered List Four
Note: Do not mind us. We are just space fillers. Suspendisse potenti. Proin sed pede. Suspendisse elementum, augue et venenatis malesuada, nisl pede commodo eros, id faucibus purus arcu vel risus. Nullam at metus. Donec non dui.


We provide food with good quality.
We make sure to provide food as soon as possible according to your orders.
For every order you make, we will ensure it is in good condition and we will check before we delivery.


ShinobiControls Xamarin Bindings Documentation
ShinobiCharts
Documentation for this section has not yet been entered.
| Type | Description |
|---|---|
| GLColour4f | A colour structure containing red, blue, green and alpha values. |
| IISChartCrosshair | Documentation for this section has not yet been entered. |
| ISChartActivityIndicator | See ShinobiCharts.SChartActivityIndicator. |
| ISChartAnimationCurveProtocol | See ShinobiCharts.SChartAnimationCurveProtocol. |
| ISChartCrosshair | |
| ISChartCrosshair_Extensions | Documentation for this section has not yet been entered. |
| ISChartData | See ShinobiCharts.SChartData. |
| ISChartDataSource | See ShinobiCharts.SChartDataSource. |
| ISChartDelegate | See ShinobiCharts.SChartDelegate. |
| ISChartLayer | See ShinobiCharts.SChartLayer. |
| ISChartLegendItem | See ShinobiCharts.SChartLegendItem. |
| ISChartSeriesCrosshairTooltipDrawerProtocol | Documentation for this section has not yet been entered. |
| ISChartSeriesCrosshairTooltipPositionerProtocol | Documentation for this section has not yet been entered. |
| ISChartSeriesCrosshairTooltipStylerProtocol | Documentation for this section has not yet been entered. |
| ISChartTickLabelRefreshRate | Documentation for this section has not yet been entered. |
| SChartActivityIndicator | Protocol for activity indicators that are displayed while data loads asynchronously. |
| SChartActivityIndicator_Extensions | See ShinobiCharts.SChartActivityIndicator. |
| SChartAnimation | An SChartAnimation object determines how an SChartSeries is animated. |
| SChartAnimationCurve | Animation curve options: Bounce, EaseIn, EaseInOut, EaseOut, Linear |
| SChartAnimationCurveProtocol | The SChartAnimationCurve protocol allows any object to act as a curve evaluator for series' animations, as defined in SChartAnimation. |
| SChartAnnotation | A UIView that can be displayed on a chart - maintaining aspect ratio at all times and position in accordance with the panning of the data range. |
| SChartAnnotationPosition | Annotation position options: AboveData, BelowData |
| SChartAnnotationZooming | An SChartAnnotationZooming object is pinned between two points on each axis in the chart and will scale according to the current range of the axis. |
| SChartAxis | Abstract base class for a horizontal or vertical axis providing a visual scale for chart data |
| SChartAxisPanTo | Axis panning options: Center, End, Start |
| SChartAxisPosition | Axis position options: Normal, Reverse |
| SChartAxisStyle | Visual style properties for the axis, tick marks and labels, gridlines and grid stripes. |
| SChartAxisTitleOrientation | Axis title orientation options: Horizontal, Vertical |
| SChartAxisTitleStyle | The axis title style object controls the look and feel for the axis title. |
| SChartAxisType | Axis type options: Category, DateTime, Logarithmic, Number |
| SChartAxisZoomLevel | Axis zoom level options: Double, Half, Original |
| SChartBandSeries | A type of SChartSeries that uses its data points to construct a band series. |
| SChartBandSeriesStyle | Manages the appearance of an instance of SChartBandSeries on a chart. |
| SChartBarColumnSeries | Abstract base class for column and bar series. |
| SChartBarColumnSeriesStyle | SChartBarColumnSeriesStyle manages the look of bar and column series on a chart. |
| SChartBarSeries | Displays a bar series on the chart. |
| SChartBarSeriesStyle | Manages the look and feel of an instance of SChartBarSeries. |
| SChartBaselinePointStyle | SChartBaselinePointStyle manages the appearance of data points within chart series that contain a baseline property. |
| SChartBasePointStyle | SChartBasePointStyle is the base class for all point styles in ShinobiCharts. |
| SChartBounceAnimationCurve | This curve evaluator describes a curve where the value starts at 0, climbs past 1 and passes it, then returns to 1, creating a 'bounce' effect. |
| SChartBounceDelayAnimationCurve | This curve evaluator describes a curve similar to that described by SChartBounceAnimation but where the 'bounce' occurs over a shorter proportion of the duration (50%). |
| SChartBoxGestureStyle | Visual style properties for the box zoom feature. |
| SChartBubbleDataPoint | |
| SChartBubblePointStyle | |
| SChartBubbleSeries | A type of SChartSeries that uses its data points to construct a bubble series. |
| SChartBubbleSeriesStyle | |
| SChartCandlestickSeries | A type of SChartSeries which displays Open-High-Low-Close data on a chart. |
| SChartCandlestickSeriesStyle | Manages the appearance of an instance of SChartCandlestickSeries on the chart. |
| SChartCanvas | For each ShinobiChart, one single SChartCanvas will exist to contain the drawing of all of the axes and series. |
| SChartCanvasOverlay | The canvas overlay is responsible for drawing objects that appear over the plot area - such as crosshairs. |
| SChartCanvasUnderlay | The canvas underlay is responsible for drawing things like gridlines and the axes. |
| SChartCartesianSeries | Represents an instance of a cartesian series on a chart. |
| SChartCategoryAxis | A subclass of SChartAxis designed to work with discrete data points with no linear correlation between values. |
| SChartColumnSeries | Displays a column series on the chart. |
| SChartColumnSeriesStyle | Manages the look and feel of an instance of SChartColumnSeriesStyle. |
| SChartCrosshair | A small circle target with lines extending to the axes, which follows the user's finger after a tap-and-hold gesture |
| SChartCrosshairMode | Crosshair mode options: Floating, SingleSeries |
| SChartCrosshairMultiValueTooltip | A crosshair tooltip with multiple labels, for use with multi-valued data |
| SChartCrosshairOutOfRangeBehavior | Tick label clipping mode options: KeepAtEdge, Hide, Remove |
| SChartCrosshairStyle | Visual style properties for the cross hair object SChartCrosshair |
| SChartCrosshairTooltip | A text label that moves with the chart crosshair |
| SChartDarkTheme | The SChartDarkTheme uses softer colors based on a dark background. |
| SChartData | The SChartData protocol allows any object to act as a datapoint within a series on a ShinobiChart. |
| SChartData_Extensions | See ShinobiCharts.SChartData. |
| SChartDataPoint | Represents the data items contained within an SChartSeries. |
| SChartDataPointLabel | A label representing a single SChartDataPoint, styled by SChartDataPointLabelStyle. |
| SChartDataPointLabelDisplayValues | Documentation for this section has not yet been entered. |
| SChartDataPointLabelOrientation | Documentation for this section has not yet been entered. |
| SChartDataPointLabelPosition | Documentation for this section has not yet been entered. |
| SChartDataPointLabelStyle | The data point label style object controls the look and feel for labels appearing next to a series data point. |
| SChartDataSeries | A set of data points to be visualized on the ShinobiChart. |
| SChartDataSource | Abstract base class for your class that links your data to your chart |
| SChartDateFrequency | The desired frequency of tick marks on an SChartDateTimeAxis |
| SChartDateFrequencyDenomination | Units for date frequencies: Days, Hours, Minute, Months, Seconds, Weeks, Years |
| SChartDateRange | An instance of SChartRange that is specific to NSDate - with each element in the range represented by an NSDate object. |
| SChartDateTimeAxis | An axis that works with date/time values |
| SChartDelayBounceAnimationCurve | A curve similar to SChartBounceAnimation, but delayed. |
| SChartDelayBounceWithMinimumAnimationCurve | A curve similar to SChartDelayBounceAnimationCurve, but with a minimum value. |
| SChartDelegate | Abstract base class for your (optional) class that accepts notifications from the ShinobiChart |
| SChartDelegate_Extensions | See ShinobiCharts.SChartDelegate. |
| SChartDiscontinuousDateTimeAxis | A date-time axis that skips over specified time periods. |
| SChartDiscontinuousNumberAxis | A number axis that skips over specified ranges. |
| SChartDiscontinuousTickLabelClipping | Controls discontinuous tick label clipping. |
| SChartDonutSeries | Displays magnitude data on the chart - the larger the value of the data point, the larger the slice representing that data point. |
| SChartDonutSeriesStyle | Manages the appearance of a SChartDonutSeries on a ShinobiChart. |
| SChartEaseInAnimationCurve | This curve starts off slowly at 0.0, creating a gentle initial phase, then accelerates past 0.5 to reach 1.0. |
| SChartEaseInOutAnimationCurve | This curve starts off slowly at 0.0, creating a slow initial phase. It accelerates past 0.5, then decelerates to reach 1.0, creating a slow exit phase. |
| SChartEaseOutAnimationCurve | This curve starts off steadily at 0.0, passes 0.5 then decelerates to reach 1.0, creating a slow exit phase. |
| SChartFlatAnimationCurve | This flat curve evaluator returns 1.f ('finished') for all values of t. |
| SChartGesturePanType | Gesture pan type options: BoxDraw, None, PanPinch |
| SChartGLTranslation | A structure containing translation values which are used in our OpenGL Layer. |
| SChartGLView | Documentation for this section has not yet been entered. |
| SChartGridStripeStyle | Visual style properties for the grid stripes that can appear between major tick marks. |
| SChartiOS7Theme | The SChartiOS7Theme features solid-colored series without gradients on a light background and crisp and clear text to fit in with your iOS 7 app. |
| SChartLayer | A ShinobiChart plot area is made up of various layers that are each responsible for different elements of the chart. |
| SChartLayer_Extensions | See ShinobiCharts.SChartLayer. |
| SChartLegend | An (optional) view on the chart, typically displaying explanatory information. |
| SChartLegendItem | Specifies the interface required by the legend to display chart series. |
| SChartLegendItem_Extensions | See ShinobiCharts.SChartLegendItem. |
| SChartLegendOrientation | Legend orientation options: Horizontal, Vertical |
| SChartLegendPlacement | Legend placement options: InsidePlotArea, OutsidePlotArea |
| SChartLegendPosition | Legend position options: BottomLeft, BottomMiddle, BottomRight, MiddleLeft, MiddleRight, TopLeft, TopMiddle, TopRight |
| SChartLegendStyle | Manages the appearance of the legend on the chart. |
| SChartLegendSymbol | Abstract base class for symbols representing the series for display on the Legend. |
| SChartLegendSymbolBandSeries | A symbol designed to represent a band series in the chart legend. |
| SChartLegendSymbolBarSeries | A symbol designed to represent a bar series in the chart legend. |
| SChartLegendSymbolBlock | A split colored block on a legend |
| SChartLegendSymbolBlockSplit | A split colored block on a legend |
| SChartLegendSymbolCandlestickSeries | A symbol designed to represent a candlestick series in the chart legend. |
| SChartLegendSymbolColumnSeries | A symbol designed to represent a column series in the chart legend. |
| SChartLegendSymbolDonutSeries | A symbol designed to represent a donut series in the chart legend. |
| SChartLegendSymbolLineSeries | A symbol designed to represent a line series in the chart legend. |
| SChartLegendSymbolOHLCSeries | A symbol designed to represent an OHLC series in the chart legend. |
| SChartLegendSymbolPieSeries | A symbol designed to represent a pie series in the chart legend. |
| SChartLegendSymbolPointSeries | A symbol designed to represent a point series in the chart legend. |
| SChartLegendSymbolScatterSeries | A symbol designed to represent a scatter series in the chart legend. |
| SChartLightTheme | The SChartLightTheme uses brighter colors based on a white background. |
| SChartLinearAnimationCurve | This curve progresses at a constant speed from 0.0 to 1.0. |
| SChartLineCrosshairTraceStyle | Crosshair trace style options: Horizontal, Vertical |
| SChartLineSeries | A type of SChartSeries that uses the data points to construct a line series. |
| SChartLineSeriesBaseStyle | SChartLineSeriesBaseStyle manages the appearance of an instance of SChartLineSeries and subclasses, on a chart. |
| SChartLineSeriesStyle | Manages the appearance of an instance of SChartLineSeries on a chart. |
| SChartLogarithmicAxis | An SChartLogarithmicAxis is a subclass of SChartNumberAxis used for displaying logarithmic data. |
| SChartMainTitleStyle | Manages the look of the main chart title. |
| SChartMajorGridlineStyle | Visual style properties for the major grid lines. |
| SChartMappedSeries | Represents an instance of a series that maps its data to axes on a chart. |
| SChartMidnightTheme | The SChartMidnightTheme is based around a black background with lighter features. |
| SChartMovementInformation | A structure describing why a ShinobiChart is triggering pan and zoom delegate methods |
| SChartMultiValueDataPoint | Represents a data point that has values that are not related to any axes. |
| SChartMultiXDataPoint | Represents cartesian data points which have multiple x values. |
| SChartMultiYDataPoint | Represents cartesian data points which have multiple y values. |
| SChartNumberAxis | A subclass of SChartAxis designed to work with data points that use NSNumber. |
| SChartNumberRange | Represents numerical ranges on a chart axis (SChartAxis). |
| SChartNumberSkip | Discontinuous axis number skip structure: Start and End |
| SChartOHLCSeries | A type of SChartSeries which displays Open-High-Low-Close (OHLC) data on a chart. |
| SChartOHLCSeriesStyle | Manages the appearance of an instance of SChartOHLCSeries on the chart. |
| SChartOrientation | Chart orientation options: Horizontal, Vertical |
| SChartPieSeries | A series that displays magnitude data on the chart - the larger the value of the datapoint, the larger the slice representing that datapoint. |
| SChartPieSeriesStyle | Visual style properties for pie series. |
| SChartPixelToPointMapper | |
| SChartPixelToPointMapping | |
| SChartPoint | A 2 dimensional point structure |
| SChartPointSeries | An SChartPointSeries acts as the base class for both SChartScatterSeries and SChartBubbleSeries and concerns itself with drawing data points. |
| SChartPointSeriesStyle | |
| SChartPointStyle | Manages the appearance of data points within chart series. |
| SChartRadialChartEffect | Radial chart effects. |
| SChartRadialDataPoint | A data point for a pie/donut series. |
| SChartRadialLineRenderMode | Enum to control line rendering mode for radial charts. |
| SChartRadialLineSeries | SChartRadialLineSeries is a type of SChartMappedSeries that uses datapoints to construct a line series on a radial chart. |
| SChartRadialLineSeriesStyle | SChartRadialLineSeriesStyle manages the appearance of an instance of SChartRadialLineSeries on a chart. |
| SChartRadialSeries | SChartRadialSeries is the base class for all pie or donut series within a `ShinobiChart`. |
| SChartRadialSeriesDrawDirection | Radial series animation options: Anticlockwise, Clockwise |
| SChartRange | Represents a range of values on a chart. |
| SChartRepeatedTimePeriod | A SChartRepeatedTimePeriod represents a repeated period of time, starting at a particular point in time. |
| SChartScatterSeries | A type of SChartSeries that uses its data points to construct a scatter series. |
| SChartScatterSeriesStyle | Manages the appearance of an instance of SChartScatterSeries on a chart. |
| SChartSelection | Selection options: None, Point, Selection |
| SChartSeries | Manages the display of a data series on a ShinobiChart. |
| SChartSeriesCrosshair | |
| SChartSeriesCrosshairTooltip | |
| SChartSeriesCrosshairTooltipDrawer | |
| SChartSeriesCrosshairTooltipDrawerProtocol | |
| SChartSeriesCrosshairTooltipPositioner | |
| SChartSeriesCrosshairTooltipPositionerProtocol | |
| SChartSeriesCrosshairTooltipStyler | |
| SChartSeriesCrosshairTooltipStylerProtocol | |
| SChartSeriesLegendSymbolAlignment | Legend symbol alignment options: Left, Right |
| SChartSeriesOrientation | Series orientation options: Horizontal, Vertical |
| SChartSeriesStyle | SChartSeriesStyle is the base class for all series styles in ShinobiCharts. |
| SChartSimpleDatasource | |
| SChartSize | Size structure: Height and Width |
| SChartSpokeStyle | |
| SChartStepLineSeries | A type of SChartLineSeries that uses its data points to construct a step line series. |
| SChartStyle | Responsible for managing the overall look of the chart. |
| SChartTheme | The SChartTheme class is responsible for storing styling information for the chart's visual components, such as its titles, axes, tickmarks, and series. |
| SChartTickLabelClippingMode | Tick label clipping mode options: NeitherPersist, TicksAndLabelsPersist, TicksPersist |
| SChartTickLabelFormatter | A wrapper object that contains an appropriate NSFormatter for the axes for which it is formatting tick labels. |
| SChartTickLabelRefreshRate | Every time the chart is panned or zoomed, its tick labels are recalulated and refreshed. This can be a CPU intensive operation, particularly on older devices. |
| SChartTickLabelRefreshRateDeviceBased | This class provides a simple way to adjust the rate at which tick labels are refreshed. |
| SChartTickMark | A tick mark on an axis |
| SChartTickStyle | Visual style properties for tick marks |
| SChartTimePeriod | Represents a period of time. |
| SChartTitle | A title object used by the chart and chart axes to display a UILabel with appropriate text. |
| SChartTitleCentresOn | Title centering options: Canvas, Chart, PlottingArea |
| SChartTitlePosition | Title positioning options: Center, BottomOrLeft, TopOrRight |
| SChartTitleStyle | Manages the look of the titles on the chart. |
| ShinobiChart | A ShinobiChart displays data arranged in either cartesian or radial series. |
| ShinobiChartLog | Provides logging functionality for ShinobiCharts. |
| TickLabelOrientation | Tick label orientation options: Diagonal, Horizontal, Vertical |


{% extends "main.html" %} {% block content %} {% include "header.html" %}
To enable some integrated analysis with the N3C dataset, you can request to include an external dataset in the N3C Enclave environment.
Follow an easy-to-follow guide to help you contribute metadata for following this schema's structure:


A designer who thinks like a marketer. Experienced in Illustrator, Photoshop, CSS/HTML, Eloqua (automation platform).
Designed sets of icons used in newsletters.
Designed headers for newsletters and web assets.
Created lead generation form built using modified Bootstrap.
Created landing page for multi-channel marketing campaign. 2015 Markie Awards finalist.
Animated gifs created for Twitter's premium video product. Linked to from various high-traffic media sites (Mashable, Adweek, Social Media Examiner, The Next Web).
Designed logo and developed splash page for a local CSA business based out of Vancouver, BC.
Email invites and RSVP pages designed and developed for Twitter events.
Newsletters for advertisers and partners.
Designing for fun and developing my own visual style.
Javascript and JQuery primarily used around form validation for event RSVP pages.
Physical collateral and signage for a networking event hosted at Twitter HQ by @TwitterWomen.
Splash page for vertical industry event.


PART VI. GENERAL ADMINISTRATION
Note
Part redesignated by L 1976, c 152, §2.
§323D-61 Personnel. The administrator of the state agency shall hire necessary personnel under chapter 76 to carry out the purposes of this chapter. [L 1975, c 159, pt of §2; ree L 1977, c 178, pt of §2; am L 2000, c 253, §150]


Plugin Information |
|---|
View cucumber-slack-notifier on the plugin site for more information. |
This plugin is up for adoption. Want to help improve this plugin? Click here to learn more!
A plugin to send a summarised cucumber report to a slack channel.
Jenkins Pipeline Usage
Use within a node block as the example below shows:
node { stage 'Cucumber Reports' // process cucumber reports step([$class: 'CucumberReportPublisher', jsonReportDirectory: 'target/', fileIncludePattern: '*.json']) // send report to slack cucumberSendSlack: channel: 'test-results-channel', json: 'target/test-results.json' }
Installation Instructions
Global Configuration
Job Configuration
Change Log
Version 0.8.2 (4th July 2016)
- Added ability to add custom text a message
Version 0.8.1 (4th July 2016)
- Fixed issue with link generation in slack message
Version 0.8 (3th July 2016)
- Added Jenkins Pipeline Support
Version 0.7 (17th Dec 2015)
- Added Build Step & Post Build Notifiers
- Added Global Config Validation
- Implemented common service for sending notifications
Version 0.6.1 (17th Dec 2015)
- Fixed invalid check for configuration
Version 0.6 (16th Dec 2015)
- Correctly reading json report file from the workspace directory
Version 0.4 (15th Dec 2015)
- Initial Release
Attachments:
global_config.png (image/png)
job_config.png (image/png)
slackCucumberNotificationLinks.png (image/png)
job_config.png (image/png)
slackCucumberNotificationLinks.png (image/png)


Basic flowbased-polymer Demo
click above,
Request Ajax
receivedResponse.response.version = {{_response.response.version}}


A short description about leave usage. This will appear in your leave details.
Please provide details on what to do for work-related contingencies.


{% extends "base_home.html" %} {% load static %} {% block content %}
Bubble and Dew Point Calculations
Explanations and Help
Calculator App


| ratchet |
The purpose of the ratchet library is to provide a generic socket control mechanism for large numbers of sockets without using threads or losing the ease of synchronous socket programming. |
| ratchet.bus |
This module is designed as a convenience to make requests in the form of a message queue, with simple responses being returned to the sender. |
| ratchet.bus.transaction |
After a request has been sent or received by the client- or server-side, respectively, of a message bus, the first returned value is a transaction object, defined by this module. |
| ratchet.dns |
Provides a system for querying DNS for information such as A, AAAA, PTR, MX, and TXT records. |
| ratchet.error |
A ratchet.error object is thrown in most cases when ratchet functions error. |
| ratchet.exec |
The exec library provides relatively powerful command execution in an event-based manner. |
| ratchet.http.client |
This library provides client-side access to an HTTP service, commonly used in many different cases across the Web. |
| ratchet.http.server |
This library provides server-side capabilities for an HTTP service. |
| ratchet.smtp.client |
This library provides client-side access to an SMTP server, commonly used to transport email messages. |
| ratchet.smtp.server |
This library provides server-side capabilities for an SMTP server. |
| ratchet.socket |
The socket library provides an implementation of the standard Berkeley sockets on top of the ratchet library. |
| ratchet.socketpad |
The socketpad library provides a layer on top of the ratchet.socket library to manage buffered socket IO. |
| ratchet.ssl |
The ssl library provides an SSL encryption context. |
| ratchet.ssl.session |
The ssl.session library provides an SSL encryption session. |
| ratchet.thread |
This module provides as set of functions for creating and controlling threads from within the context of a running ratchet. |
| ratchet.timerfd |
The timerfd library provides an advanced timer interface using the system library of the same name. |
| ratchet.zmqsocket |
The zmqsocket library provides an implementation of the ZeroMQ socket library on top of the ratchet library. |


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WEAVER,
JR.
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Duke
University
Herbarium
NEW
YORK
BOTANICAL
GARDEN
EXPLORATION
OF
JAMAICA
Cockpit
Country
ç-As
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L.
Britton
New
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Botanical
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}b2M70b
1624706
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Output summary¶
The pipeline will output several results and some examples and how to interpret those are shown below.
Pairwise distance table
Below you see the pairwise distance table value’s. For the snps method (shown below) the values indicate the sum of different genotype calls over all selected snps. For the frequency method the values are the absolute difference in allele frequency.
| A10 | A11 | A12 | A1 | A2 | A3 | A4 | |
| A10 | 0 | ||||||
| A11 | 7 | 0 | |||||
| A12 | 13 | 10 | 0 | ||||
| A1 | 14 | 15 | 14 | 0 | |||
| A2 | 10 | 10 | 10 | 6 | 0 | ||
| A3 | 16 | 18 | 14 | 14 | 10 | 0 | |
| A4 | 14 | 14 | 11 | 17 | 11 | 8 | 0 |
Selected snps
This is an overview of the selected snps. Snp_1 will always have the format contig + position of the snp.
Entropy
is the information gain value, the higher this value the better the snp can distinguish between the varieties.
The rest of the table contains the genotype calls for that position.
| Snp.1 | Snp.2 | Snp.3 | Snp.4 | |
| Entropy | 1.54 | 1.25 | 0.98 | 1.32 |
| A10 | G/G | C/G | T/T | |
| A11 | A/A | G/G | C/G | T/T |
| A12 | A/G | C/G | G/G | C/C |
| A1 | A/A | G/G | G/G | T/T |
| A2 | A/A | G/G | G/G | T/T |
| A3 | A/G | C/G | G/G | T/C |
| A4 | A/G | C/G | G/G | C/C |
VCF file
A vcf file containing the selected snps, with all their information.
Flanking sequences
In the example output you see two columns, the first, left column contains information over the location of the snp.
Contig1:267879-268079:267979:
.
Contig1
is the name of the chromosome/scaffold the snp is located.267879-268079
is the range of the fetched sequence(in the right column).267979
is the exact position of the selected snp.
The second column is the flanking sequences around the main snp, indicated between the brackets [C/T]
. The other snps in the flanking sequences
contain iupac nucleotides.
More information about the iupac nucleotides can be found here and on wikipedia.
Example output:
Contig1:267879-268079:267979 AACAAGCGGAGCCTGTTT[C/T]RAWYCWGKTCAAGAAATT
Contig2:99417-99617:99517 GAGAGCTCGGACGGACTC[C/G]GAGTTGCTCTGTTTCTTC
Contig5:324044-324244:324144 GTTCCTTCTGGAGCAGAW[G/T]CTCCAGAAGCATATGCCA
Contig2:1055761-1055961:1055861 GGCTACCATAATGAGAAC[A/T]CCAACCACTGCGCCAATG


Judy Finnigan's panel show appearances
Judy Finnigan (born 1948-05-16[ref]) has appeared in 18 episodes between 2010-2015. Judy Finnigan on Wikipedia.
- 2015-06-19 / Loose Women
- 2015-06-05 / Loose Women
- 2015-05-28 / Loose Women
- 2015-05-21 / Loose Women
- 2015-04-30 / Loose Women
- 2015-03-12 / Loose Women
- 2015-01-30 / Loose Women
- 2015-01-29 / Loose Women
- 2015-01-22 / Loose Women
- 2015-01-08 / Loose Women
- 2014-11-10 / Loose Women
- 2014-10-30 / Loose Women
- 2014-10-21 / Loose Women
- 2014-10-13 / Loose Women
- 2014-09-08 / Loose Women
- 2012-10-19 / Loose Women
- 2011-09-05 / Loose Women
- 2010-11-02 / Loose Women


| Name of College | : | TKM COLLEGE OF ENGINEERING,KOLLAM |
| Course appearing | : | MASTERS OF COMPUTER APPLICATIONS |
| Semester | : | SEMESTER 1 |
| Admission number | : | 2032 |
| University | : | A P J ABDUL KALAM TECHNOLOGICAL UNIVERSITY |
| Date of Admission | : | 04/11/2020 |
| Website of College | : | tkmce.ac.in |


A Web app to eradicate the spread of COVID-19 IN INDIA.
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Hourly Daily Sales
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"IF YOU CAN'T FEED HUNDRED PEOPLE , THEN JUST FEED ONE."
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Artist Profile
Fadella moved from Paris to Nice in the South of France in 1992 and has been practicing china painting for more than 15 years. The pictures in this gallery showcase Fadella’s artistic skill and talent.
Her artwork includes tableware, flower pots, vases, square plates, trinket trays, cup & saucer sets, etc.
If you are interested in an item from this gallery, or in having an item customized for a special occasion (such as an anniversary, birthday, wedding etc.), please email<EMAIL_ADDRESS>for a quote.


McConnell: 'Inconceivable' Senate Votes to Remove Trump | Breitbart
by Ian HanchettDuring a press conference on Tuesday, Senate Majority Leader Mitch McConnell (R-KY) stated that it is “inconceivable” that 67 members of the Senate will vote to remove President Trump.
McConnell said, “I will repeat what I’ve said in the past, it’s inconceivable to me that there would be 67 votes to remove the president from office. A number of Democratic senators are running for president. I’m sure they’re going to be excited to be here in their chairs, not being able to say anything during the pendency of this trial. So, hopefully, we’ll work our way through it and finish it in not too lengthy a process.”
Follow Ian Hanchett on Twitter @IanHanchett


The climate is temperate, with moderate rainfall and high humidity. The wind is strong most days, and gales are frequent all year round.
Tristan da Cunha Weather Forecast.
For links to free global weather information, forecast services and extreme weather information see the Noonsite Weather Page.
* indicates port of entry


Celery 1.0 has finally been released! It's available on PyPI for downloading. You can also install it via pip install -U celery. You can read the announcement here
pip install -U celery


POW-maximalists fail to recognize that an attacker in a POS system can be forked out if caught. This can be implemented by default
This dramatically changes the cost-benefit analysis for attacking. If u assign a 5% probability 2 being caught, it becomes much riskier 2...


pdg-control
warning-signals
code-tricks
coursework
blog
ropensci
my-publications
R
research-blogging
notebook-technology
reading
pmc
seminar
workflow
conference
wrightscape
decision-theory
Jekyll
hpc
algorithms
knitcitations
multiple-uncertainty
Labrids
nonparametric-bayes
open-science
prosecutor
delayed-release
semantics


VisToolTemplate
Visualization
Tutorial
About
Add some data
Or try an example:
Tutorial
Getting started
Add some instructions here for your users to get started
Maybe show them what an example file looks like:
human_chromosome_stats.csv
About
Information
VisToolTemplate is open source at
https://github.com/marianattestad/VisToolTemplate


Life-long learning empowers people by giving them the relevant skills and knowledge to remain competative both professionally and personally.
Get Office 365 for free.
It's not a trial! Students and teachers are eligible for Office 365 for Education,
which includes Word, Excel, PowerPoint, OneNote, and now Microsoft Teams,
plus additional classroom tools.
All you need to get started is a valid school email address.
Get started.
Teams is a digital hub that brings conversations, content, and apps together in one place. Educators can create collaborative classrooms, connect in professional learnings communities, and communicate with school staff all from a single experience in Office 365 for Education


It
was our pleasure working with you. Here's a buffet of sentiments about
the matter.

It
was our pleasure working with you. Here's a buffet of sentiments about
the matter.


Super Fly Guy
문장 듣고 따라하기
A boy had a pet fly.
He named him Fly Guy.
Fly Guy could say the boy’s name.
One day Fly Guy went to school with Buzz.
Fly Guy learned about reading and phonics.
He learned about art.
음원
음원
음원
음원
음원
음원
Record
Play
문장 음성인식 테스트 가기
메인 메뉴로 가기


China carrier fleet passes near rival Taiwan
by The Associated PressTAIPEI, Taiwan (AP) — A Chinese aircraft carrier fleet has passed near Taiwan, prompting the self-governing island to scramble ships and jets to monitor the situation.
Taiwan’s defense ministry says the southbound Chinese fleet passed into the Taiwan Strait on Sunday but stayed on China’s side of the waterway that separates the island from China.
The ministry says Taiwan scrambled ships and jets to monitor the fleet.
It says Japanese ships were also following the Chinese fleet. The ministry did not give details.
China has passed aircraft carriers into the strait since Taiwan President Tsai lng-wen took office in 2016. China resents Tsai for declining to see Taiwan and China as parts of the same country and resents her improved relations with Washington.
The Associated Press


“Vassati devo yathā sugītaṁ,
Channā me kuṭikā sukhā nivātā;
Cittaṁ susamāhitañca kāye,
Atha ce patthayasi pavassa devā”ti.
… Subāhutthero ….
The sky rains down, like a beautiful song.
My little hut is roofed and pleasant, sheltered from the wind.
My mind is immersed in my body:
so rain, sky, as you please.


| A city PR girl goes on the run accused of leaking information from the military supply company where she works. Chased by ex-soldiers she hides with her brother, a member of a shadowy hacker group, and has to choose between her luxury life - and the Redistributors. | |
| Genres: | Thriller |
| Director: | Adrian Tanner |
| Writer: | Adrian Tanner |
Cast: | Nathan - James Allen Donnie - Natan Barreto Rupert - Tim Bentinck Ben - Robert Boulton Liz - Alexandra Evans Hodge - Rrenford Junior Fagan Emmanuel - Daniel Goode Jenna - Isobella Hubbard Willy Wright - Christopher E. Joseph Richie - Scott Joseph Todd - Andrew Kinsler Michael Manning - Alastair Mackenzie Harry - Jeff Rawle Nurse Clare - Melody Reynolds Jim - Darrio Stangl |


SetupOption
enum SetupOption
List of supported setup options for configuring Keychain.
-
Configuration data for the Keychain instance.
Declaration
Swift
var configuration: Keychain.Configuration { get }


Handsome policeman dies few days to his wedding
by Qwame BenedictA policeman has met his untimely death a few weeks before he could finally settle with the love of his life.
According to a social media user on Facebook with the username, Nnenna Onyedikachi who brought the issue to light and also a close friend of the deceased policeman revealed that the policeman who was set to get married on 15th December 2019 died in a car accident.
She took to social media to grieve.
”To think that you were in my office few days to ur demise, I told you to hold on for some secs let me tidy up my table but then you left in a hurry..and you told me you will come back, you said you were preparing for [your] wedding coming up on the 15th of December, 2019 only for me to hear that you’re dead…I still couldn’t believe it until today when ur signal of “Death while in service came to my table ,I became shattered…R.I.P my good friend,” Nnenna Onyedikachi wrote on Facebook.
See screenshot below:


The Munchy stand for an idea; the idea of bringing different cultures, values and the epiphanies under one roof of food. We believe in spearheading the momentum behind the raw, unassuming nature of the daily items we consume combined with the latest trends the industry has to offer.
Smit Trivedi and Shreyans Doshi form The Munchybrisk
Far far after hopping to places found the gems.
Life is a combination of Magic and Pasta.
Far far away,there found the moisty, fluffy and mouth licking Red Velvet Cake.
Grilled till the breads turn crispy and its aroma makes one upright ready for it.
Fresh fruit extracts added distilled contents.
Stella Pink Wine with added garnishing.
Smashed Paneer slightly diced with spices added avocado and tons of vegetables.


WITNESS LIST
Veteran Affairs & Border Security
August 29, 2018 9:00 AM
Border - Invasive Species
ON:
Aldrete, Eddie Senior VP, IBC Bank (also providing written testimony) (Self; IBC Bank),
San Antonio, TX
Cabrera, Chris Border Patrol Agent (also providing written testimony) (Self; National
Border Patrol Council), Edinburg, TX
Dodier, Jr., Jose Chairman, State Soil and Water Conservation Board (Texas State Soil and
Water Conservation Board), Temple, TX
Gentsch, Bryan Dr (also providing written testimony) (Self; Texas State Soil & Water
Conservation Board), Austin, TX
Heckert, David (Self), Georgetown, TX
Isom, Rex Executive Director (Texas State Soil and Water Conservation Board), Temple,
TX
Jones, John President (Lochow ranch pond and lake management), Bryan, TX
Kibbe, Susan Executive Director (also providing written testimony) (South Texans'
Property Rights Association), Falfurrias, TX
Registering, but not testifying:
ON:
Foster, John Lead Policy Advisor (Texas state soil and water conservation board), Temple,
TX
McGarrity, Monica Aquatic Invasive Species Team Lead (Texas Parks and Wildlife Dept),
Austin, TX
Oswald, Johnny Program Administrator (Texas state soil and water conservation board),
Temple, TX
Reinoso, Yosvany Pastor of CEAT (Self; CEAT), Irving, TX
Zajicek, Kenny Chief Operating Officer (Texas state soil and water conser vation board),
Temple, TX
Border Security - Law Enforcement
ON:
Cabrera, Chris Border Patrol Agent (also providing written testimony) (Self; National
Border Patrol Council), Edinburg, TX
Garcia, Angie LULAC Council President 649 (LULAC), San Antonio, TX
Garibay, Julieta Texas Director & Co-founder (United We Dream), Austin, TX
Godsey, Lynn Pastor (Hispanic Minasterial Evangelical Alliance), Dallas, TX
Godsey, Pastor Lynn President CEAT (Self; CEAT Coalition of Evangelical (Pastors')
Aliance of Texas), Ennis, TX
Heckert, David (Self), Georgetown, TX
Lafair, Renee Regional Director (Self; Adl), Austin, texas, TX
Lawrence, Kevin Executive Director (Texas Municipal Police Association), Austin, TX
Louderback, AJ Sheriff (Sheriffs' Association of Texas), Edna, TX
Martin, Freeman Deputy Director (Tx DPS), Austin, TX
McCraw, Steven Col, Texas Dept of Public Safety (TX DPS), Austin, TX
Perez, Briana (MALDEF), San Antonio, TX
Rogers, Lyndon Reverend (Self; Southwest Hispanic Convention), Austin, TX
WITNESS LIST
Veteran Affairs & Border Security
August 29, 2018 9:00 AM
Torres, Lupe LULAC State Director (LULAC), San Antonio, TX
Tuttle, Dino Pastor (Self; Iglesis apostolica de alamo), Alamo, TX
Valencia, Isis (RAICES), Austin, TX
Registering, but not testifying:
ON:
Ayala, Pastor Gustavo Pastor Familia de Dios (Self; CEAT), Dallas, TX
Garza, Domingo Pastor of CEAT (Self; CEAT), Dallas, TX
Godsey, Tana Pastor (CEAT), Ennis, TX
Guzman, Eutolio Pastor of CEAT (Self; CEAT), Dallas, TX
Guzman, Leticia Pastor of CEAT (Self; CEAT), Dallas, TX
Hidalgo, Hector Pastor of CEAT (Self; CEAT), Grand prairie, TX
Humphrey, Lisa (Self; Anti-Defamation League (ADL)), Austin, TX
Pena, Eduardo Pastor of CEAT (Self; CEAT), Arlington, TX
Reinoso, Yosvany Pastor of CEAT (Self; CEAT), Irving, TX
Rodriguez, Anastacio Pastor / ceat (Self; Ceat), Elgin, TX
Rodriguez, Cesar Hispanic leader. CEAT (Self; CEAT), Lufkn, TX
Valladares, Jose Pastor CEAT (Self; CEAT), Lufkin Texas, TX
Providing written testimony:
ON:
Simpson, Matt (ACLU of Texas), Austin, TX
Monitoring SB27
ON:
Keesling, Tim Director of Veterans Mental Health Coordination (The health and human
services commission), Austin, TX
Tillman, Sarah Director of grant coordination (also providing written testimony) (The
health and human services commission), Austin, TX
Monitoring SB277
ON:
Wood, Robert Deputy associate comptroller (Comptroller of public accounts), Austin, TX
Monitoring SB389
ON:
Brennan, Jim Legislative Director TX Coalition Of Veteran Organ (Texas Coalition of
Veterans Organizations), Austin, TX
Gear Jr., Bob Director, Texas Veterans Leadership Program (Texas Workforce
Commission), Austin, TX


|
KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
All the processes python should be derived from "Process". More...
Public Member Functions | |
| def | __init__ (self, model, settings) |
| The default constructor of the class. More... | |
| def | ExecuteInitialize (self) |
| This method is executed at the begining to initialize the process. More... | |
| def | Check (self) |
| This method verifies that the input is correct. More... | |
| def | ExecuteBeforeSolutionLoop (self) |
| This method is executed just before the solution-loop. More... | |
| def | ExecuteInitializeSolutionStep (self) |
| This method is executed in order to initialize the current step. More... | |
| def | ExecuteBeforeOutputStep (self) |
| This method is executed before writing the output (if output is being written in this step) More... | |
| def | ExecuteAfterOutputStep (self) |
| This method is executed after writing the output (if output is being written in this step) More... | |
| def | ExecuteFinalizeSolutionStep (self) |
| This method is executed in order to finalize the current step. More... | |
| def | RemoveConstraints (self) |
| def | ExecuteFinalize (self) |
| This method is executed after the computations, at the end of the solution-loop. More... | |
Public Attributes | |
| model | |
| computing_model_part_name | |
| slave_model_part_name | |
| master_model_part_name | |
| search_radius | |
| minimum_number_of_neighbouring_nodes | |
| assign_mpcs_every_time_step | |
| variables_list | |
| computing_model_part | |
| Assign master and slave model parts. More... | |
| slave_model_part | |
| master_model_part | |
| assign_mpcs_utility | |
All the processes python should be derived from "Process".
The process facilitates the discovery of neighboring nodes in a master model part within a designated radius for each node in the slave model part. Following this, it establishes a multipoint constraint (MPC) and calculates its weights using a spatial function that employs radial basis functions.
Public member variables: model – the container of the different model parts. settings – Kratos parameters containing process settings.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.__init__ | ( | self, | |
| model, | |||
| settings | |||
| ) |
The default constructor of the class.
Keyword arguments: self -- It signifies an instance of a class. Model -- the container of the different model parts. settings -- Kratos parameters containing process settings.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.Check | ( | self | ) |
This method verifies that the input is correct.
Keyword arguments: self -- It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteAfterOutputStep | ( | self | ) |
This method is executed after writing the output (if output is being written in this step)
Keyword arguments: self – It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteBeforeOutputStep | ( | self | ) |
This method is executed before writing the output (if output is being written in this step)
Keyword arguments: self – It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteBeforeSolutionLoop | ( | self | ) |
This method is executed just before the solution-loop.
Keyword arguments: self -- It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteFinalize | ( | self | ) |
This method is executed after the computations, at the end of the solution-loop.
Keyword arguments: self -- It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteFinalizeSolutionStep | ( | self | ) |
This method is executed in order to finalize the current step.
Keyword arguments: self -- It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteInitialize | ( | self | ) |
This method is executed at the begining to initialize the process.
Keyword arguments: self -- It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.ExecuteInitializeSolutionStep | ( | self | ) |
This method is executed in order to initialize the current step.
Keyword arguments: self -- It signifies an instance of a class.
| def assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.RemoveConstraints | ( | self | ) |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.assign_mpcs_every_time_step |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.assign_mpcs_utility |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.computing_model_part |
Assign master and slave model parts.
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.computing_model_part_name |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.master_model_part |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.master_model_part_name |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.minimum_number_of_neighbouring_nodes |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.model |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.search_radius |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.slave_model_part |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.slave_model_part_name |
| assign_mpcs_to_neighbours_process.AssignMPCsToNeighboursProcess.variables_list |


Tax authorities begin probes into some people named in Panama Papers leak
Tax authorities in Australia and New Zealand are probing local clients of a Panama-based law firm at the center of a massive data leak for possible tax evasion.
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins now lead the Flyers 2-0 as Flyers fail to build momentum in the first period.
Sidney Crosby and Pittsburgh Penguins are on fire!
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins lead the Flyers 2-0.
Tax authorities begin probes into some people named in Panama Papers leak
Tax authorities in Australia and New Zealand are probing local clients of a Panama-based law firm at the center of a massive data leak for possible tax evasion.
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins now lead the Flyers 2-0 as Flyers fail to build momentum in the first period.
Sidney Crosby and Pittsburgh Penguins are on fire!
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins lead the Flyers 2-0.
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Tax authorities begin probes into some people named in Panama Papers leak
Tax authorities in Australia and New Zealand are probing local clients of a Panama-based law firm at the center of a massive data leak for possible tax evasion.
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins now lead the Flyers 2-0 as Flyers fail to build momentum in the first period.
Sidney Crosby and Pittsburgh Penguins are on fire!
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins lead the Flyers 2-0.
Tax authorities begin probes into some people named in Panama Papers leak
Tax authorities in Australia and New Zealand are probing local clients of a Panama-based law firm at the center of a massive data leak for possible tax evasion.
Sidney Crosby scores the first goal against the Flyers
The best player in the world, Sidney Crosby, is leading his Pittsburgh Penguins hockey club to new heights just as the playoffs are about to begin!
Beau Bennett breaks out with a goal to build the lead!
Penguins now lead the Flyers 2-0 as Flyers fail to build momentum in the first period.
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lockedbtch
belljustice
nynjack
Uniq3
fairyTail
biubiubiu
selfiecaked
X.A.N.A.
nynjack
j_butler4
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ichibanTakaramono
belljustice
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lockedbtch
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lockedbtch
belljustice
nynjack
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biubiubiu
selfiecaked
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nynjack
j_butler4
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belljustice
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lockedbtch
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Uniq3
NixxiN
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ichibanTakaramono
selfiecaked
IpExposure1992
ichibanTakaramono
Nex2you
pryankk
selfiecaked
canadianbeef
ichibanTakaramono
X.A.N.A.
1200
970
940
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canadianbeef
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nynjack
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Locknload
pryankk
j_butler4
pryankk
nynjack
980
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fairyTail
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canadianbeef
yocrude
NixxiN
sunEqLight
Nex2you
Nex2you
pryankk
Uniq3
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IpExposure1992
sunEqLight
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Public Message: Hello World!


Software Developer
VIEW RESUME IN PDF FORMAT
I'm a proffesional website designer with more than over 1 year experience in this field. i've worked on numerous web applications and websites. You can see some of this websites on my portfolio.
I took various courses in user interface and user experience design, which i implement into the applications i build.
I have been involved in various web and mobile applications which i use the mean stack to develop that is (Mongo db, express js, Angular js and Node js) and Ruby on Rails you can view refrences to these apps on my portfolio.
I have solid foundation in java, python and c++, writing the best possible codes.
I wont consider this a major skill to have but as a good developer you should be able to use the git and github because it facilitates efficient collaborations. it is a good skill for a modern developer to know. Github
I have the fundamental knowledge of using php together with sql to manage a database efficiently.
Projects Done
Testing
Clients
Recommendations
© 2016 Resume. All rights reserved | Design by JesseOkeya


{% extends "soc/base.html" %} {% comment %} Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% endcomment %} {% block body %}
Trying to start the update Task with the following description:
{{ option.description }}.


|
This test has a gradient with gradientUnits='objectBoundingBox' which is a fade from black to white. The gradient is used for the stroke of a line. Vertical and horizontal lines don't have a boundingbox, since they are one-dimensional, even though the stroke-width makes it look like they should have a boundingbox with non-zero width and height. See the coordinate chapter, last paragraph of 7.12.
The left rectangle has four 'line' elements rotated in different ways. The stroke for the lines have a green solid stroke fallback which should be used if the gradient should be ignored. For this sub-test to pass there must be three lines with solid green stroke, and one line (from bottom left to top right) with a gradient stroke, visible in the rectangle.
The right rectangle is the same as the left rectangle except that the stroke paintservers don't have a fallback specified. For this sub-test to pass only the line from bottom left to top right must be visible in the rectangle, and it must have a gradient stroke.


Safety Explorer Charts with Queries
AE Table
AE Timelines
Results over Time
Histogram
Outlier Explorer
Shift Plot


| ← | - Contents - | → |
Error codes are not numbers. But they are. Can we exploit that?
Estimating floating point error the easy way
Why is it ok to divide by 0.0?
Yet another alternative to floating-point numbers
Yet another floating-point tutorial
What Every Computer Scientist Should Know About Floating-Point Arithmetic
Floating-point Visually Explained
Bruce Dawson's blog posts
A library for arbitrary size floating-point numbers: LibBF Library.
Implementations of fixed-point numbers in C and in Ada.
On interval arithmetic: https://en.wikipedia.org/wiki/Interval_arithmetic.
On universal numbers and Posits in particular: https://en.wikipedia.org/wiki/Unum_(number_format).
On surreal numbers: https://en.wikipedia.org/wiki/Surreal_number.
| ← | - Contents - | → |


Situational Understanding Research Team
Cyberspace Sciences and Information Intelligence Research Group
Agenda
What is Visual Analytics?
Situational Understanding Research Team
Cyber Security Projects
Health Care Projects
What is Visual Analytics?
Information Visualization
The purpose of visualization is insight, not pictures
- Ben Schneiderman, 1999
Visual Analytics is not...
Static explanatory infographics
Scientific visualization
Geographic information systems (kind of)
Visual Analytics
Focus on sensemaking and analytical reasoning
Concerned with abstract data
Multidisciplinary
Information visualization + computation
Visualization
Presentation
London, 1854
Presentation
Graphics can tell a story to convince your strongest opponents
Analysis
Analysis
Visualization can provide the BIG PICTURE. Anomalies, like winners over the past 12 months, and overall trends, like a market rebound, pop out at you preattentively
This visualization is a tool to explore the data
Visual Analytics
Situational Understanding Research Team
Mission
Build tools for domain experts that facilitate situational understanding and insight discovery from large, complex, (streaming), heterogeneous data
Approach to Visual Analytics
Data is uncertain
Automate the repetitive and the mundane
Algorithms should not relearn domain knowledge
Users' domain knowledge should be captured and used
Algorithms should be transparent and understandable
Simple displays are good (and can be combined)
Give users time to slow down to explore the data
Research Areas
Mathematics
Probabilistic modeling
Graph modeling & algorithms
Theorems
Human-Computer Interaction
Information visualization
Use-centered design
Domain and user modeling
User testing / experimentation
Machine Learning
Unsupervised learning
Active learning
Online learning
Computing Platforms
Streaming platforms & algorithms
Distributed storage & algorithms
Mobile computing
Cyber Security Projects
NV
Nessus Vulnerability Visualization
Nessus Visualization :: Problem
Vulnerability assessment tools can expose weak points within a system
These tools can produce very large data sets in medium/large networks
It can be difficult to get the big picture of the security posture of your network from current user interfaces for vulnerability assessment tools
It is impossible to compare scans to determine the differences between them - has the network become more vulnerable or more secure?
Users domain knowledge is not taken into account
Nessus Visualization :: Approach
Develop a web-based visual analytics environment for understanding and prioritizing vulnerability assessment scans
Zoomable Treemap displays machines organized by user-defined groupings and sized and colored by the number and severity of vulnerabilities
Multiple filters are provided to interact with the data
Integrate domain knowledge by groupings and tagging high-value assets
A Scalable Framework for Timely Discovery and Situational Understanding of Cyber Attacks
Situ :: Problem
Rapidly discovering novel and sophisticated cyber attacks from masses of heterogeneous data and providing situational understanding to analysts are ongoing problems in computer network defense
Network defense analysts maintain continually evolving mental models that allow them to differentiate between malicious and benign traffic. However, current systems do not exploit this knowledge
Situ :: Approach
Anomaly detection to remove typical behavior from further analysis
Event classification to label events as benign or malicious and classify and link malicious events into phases of the kill chain
Visual analytics to present results and provide the user interface for visually capturing knowledge
User driven feedback to make suggestions for labeling and capture knowledge from domain experts
Situ
Stucco
Situation and Threat Understanding by Correlating Contextual Observations
Stucco :: Problem
Security analysts do not have access to context when analyzing security events
There are many data sources that may provide context, but they are not systematically collected or correlated with security events or integrated into analytic and visualization tools
Analysts currently mentally juggle inputs from a growing number of data streams
Stucco :: Approach
Integrate and visualize social media, new articles and other indicators in context with traditional cyber security data
Provide concept graph which users and systems can query to gain context for analysis
Display trends of security concepts that relate to a user's environment
Stucco
Health Care Projects
CMS Geographic Variation (1)
Problem: health indicators health indicators vary both geographically and temporally - how can these be visualized?
Approach: combine visualizations to show how regions compare by value and by geographic location


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{{result}}
Internet Explorer, Android(Webview), and Android(Opera) do not support the SpeechSynthesis provided by JavaScript.


This website is for having an akan name depending on individual birthday, what is needed is to fill your birthday year,month,day,and your gender. after that you click on the submit button, the needed information will appear immediately.


rtc-core
The rtc-core package includes a number of core types and constants that are used across the rtc.io suite.
rtc-core/detect
A browser detection helper for accessing prefix-free versions of the various WebRTC types.
Example Usage
If you wanted to get the native RTCPeerConnection
prototype in any browser
you could do the following:
var detect = require('rtc-core/detect'); // also available in rtc/detect
var RTCPeerConnection = detect('RTCPeerConnection');
This would provide whatever the browser prefixed version of the
RTCPeerConnection is available (webkitRTCPeerConnection
,
mozRTCPeerConnection
, etc).
rtc-core/genice
Respond appropriately to options that are passed to packages like
rtc-quickconnect
and trigger a callback
(error first) with iceServer
values.
The function looks for either of the following keys in the options, in the following order or precedence:
ice
- this can either be an array of ice server values or a generator function (in the same format as this function). If this key contains a value then any servers specified in theiceServers
key (2) will be ignored.iceServers
- an array of ice server values.
rtc-core/reset
This is a simple, cross-browser method for resetting a media element back to a initial state after having media attached.
rtc-core/wait-connected
waitConnected(pc, callback)
A simple helper function that will monitor iceconnectionstatechange
events
and wait until a connected iceConnectionState
has been triggered (either
connected
or completed
). Once this state has been achieved the event
listener will be removed and a callback fired.
License(s)
Apache 2.0
Copyright 2013 - 2014 National ICT Australia Limited (NICTA)
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


This is all the stuff we learned in BB Steps part 1!
Take a look at this page's source code to see it all!
We helped a viewer with his site - he had removed default padding from his materialize css library and it was causing spacing issues on his columns.