Version: {{docversion}}
Great application to manage your Slamby Server, access your datasets, documents, import and machine-learning training.
GitHub
Page: https://github.com/slamby/slamby-tau/
License: Apache License 2.0
Download TAU from here
It currently supports just Microsoft Windows 8 or later.
To install TAU download setup.exe and execute it. You can install it by double click the setup.exe. When install process is ready, tau starts instantly.
When TAU starts Login window comes first. Here you can select or add your Slamby Server to work with. As default settings, you can find our demo server to try it out.
For a better user experience, multiple servers can be registered. To edit an account, select it by one click, thin click on the edit button.
Available settings:
| Name | Default Value | Description |
|---|---|---|
| ApiBaseEndpoint | https://europe.slamby.com/_server_name | Account/server address. Each Slamby Server has a web address as a primary address. |
| ApiSecret | s3cr3t | Each Slamby Server has a password(secret). Contact your Slamby consultant to get your secret. |
| ParallelLimit | 0 | You Slamby Server has multiple processor cores and threads. Here you can set the required thread number that you wish to use during working with your server. |
| BulkSize | 1000 | During import process TAU is using bulk import. This value set the default bulk size for bulk import. |
Demo Data:
| Name | Default Value |
|---|---|
| ApiBaseEndpoint | https://europe.slamby.com/demo/ |
| ApiSecret | s3cr3t |
| ParallelLimit | 0 |
| BulkSize | 1000 |
Login window example:
Account settings example
To manage your settings, TAU you can use the settings menu located in the top right corner.
Available menu items
:
| Name | Description |
|---|---|
| Settings | Settings menu icon. Click here to open settings, version and account tabs. |
| Refresh | Refresh button. Use it to refresh TAU and reload data from the server. Shortcut: F5 |
| Help | It directs you to the developer's site for detailed documentation. |
| about | General about section. You can use it to check the version of your TAU, Server. |
Dropdown settings menu:
Endpoint editor:
TAU version manager:
To update your TAU right-click the required version then click apply. TAU download the selected version and update itself. All the settings will be migrated.
TAU version manager in developer mode:
To access the latest pre-release versions change the install feed to https://tau.slamby.com/install_develop/ then click apply.
The first thing you see on your TAU is a structured window. On the top, you see the settings panel, on the left side the main menu items, on the bottom panel you see the status panel.
As the start tab, you see Dataset tab loaded.
Tip
: In TAU we use a tab-based design to support multitasking. To use tabs better you can drag tabs and organize them into multiple columns.
Main window:
Flexible design example:
This is the tab where you can manage your dataset. On the left side, you see dataset list, on the right side you see the structure of the selected dataset. On the bottom menu panel, you see the available dataset functions.
Dataset Columns
:
| Name | Description |
|---|---|
| Name | Dataset name. A-Z, 0-9. You can access your dataset by name. You can rename a dataset anytime. |
| Ngram | Dataset uses n-gram analysis in the background. This number displays the actual n-gram settings of a dataset. E.g.: 3 means n-gram settings: 1,2,3 |
| Document count | This number shows the available, stored document number in the dataset. |
Tip
: In you Slamby Server you can use dataset(s) to store and analyse your data. A dataset is a pre-designed, high capacity data storage engine that analyses your data real time.
Built-in functions
:
| Name | Description |
|---|---|
| Import | Import documents or tags from JSON or CSV. |
| Rename | Rename dataset. |
| Clone | Create a new dataset by copying settings from a source dataset. |
| Remove | Remove dataset and its content and related settings. |
To create a dataset you need to provide basic settings.
Available settings to create a dataset
:
| Name | Default value | Description |
|---|---|---|
| Name | empty | Name of the dataset. You can use a-z and 0-9. You can rename the dataset in the future. |
| NgramCount | 3 | Ngram settings. This number shows the n-gram number that is used by the dataset. We recommend using 3 as a value. Higher n-gram count means more precise text analysis, but higher server capacity. |
| IdField | id | Which field is used as an id field in your sample document. The id field is required. |
| TagField | tag | Which field is used as a tag field in your sample document. The tag field is required. |
| InterpretedFileds | title, desc | Interpreted fields are fields that we would like to use for text analysis in the future. We recommend using each text contained fields as interpreted fields. |
| SampleDocument | {...} | To create a dataset you can use a JSON sample document. In the sample, JSON document uses all the required fields and provide a required type. If you know perfectly which field types you would like to use please use DocumentSchema option and use directly schema. |
Tip
: in a dataset, you can store as many fields as you wish. The quickest way to create a dataset is to use sample document. When you use sample document you can show to you server which is a sample from the required dataset structure that you would like to use. During dataset creating your Slamby Server analyses the sample document, reads all the fields and detect the basic field types.
To create a dataset with specific types you can use DocumentSchema option. Here you see a schema editor where you can type the required field names and types.
Basic types:
| Name | Available types |
|---|---|
| String | string |
| Numeric | long,integer,short,byte,double,float |
| Date | date |
| Boolean | boolean |
| Array | array |
| Object | object for single JSON object |
| Document | attachment accepts valid base64 encoded string |
Using TAU you can import documents or tags into a dataset from JSON or CSV file format.
To start import, use right click on the target dataset, then click the import document/tags from JSON/CSV.
On document tab, you see a detailed document viewer and editor.
Available functions
:
List documents. Document lister
Add new document. Click the Add New
button. An empty sample document pops up. Fill it with the required content and click the save button.
Edit document. You can edit any opened document by simply re-write the content, then click the save button.
Field filter. You can select which document fields to display. Select the required fields in the Fields
list (top right) and click the apply button.
Tag management. This is the sub-tab where you can manage your tags or categories in a dataset. Each dataset has one tag storage. Slamby manages categories as tags but organized into a parent-children hierarchy. To add, edit or remove any tags click the Tags tab.
Document copy. Your Slamby server comes with built-in document copy function. To copy a document into another dataset, select the required document(s) then use right-click and select copy to. A dataset selector pop-up where you can select the target dataset.
Document move. Built-in move function. Select the required document(s) then click the move button. A dataset selector pops up where you can select the target dataset.
Delete document. To delete the document(s), select the required items then click the remove menu.
Clear tag list. To remove all the related tag(s) from the selected document(s), select the required item(s) then click the clear tag list button. All the tags will be removed from the document(s).
Copy all to. To copy the whole dataset into another one, select Copy all to button. A dataset selector pops up where you can select the target dataset.
Move all to. To move the whole dataset into another one, select Copy all to button. A dataset selector pops up where you can select the target dataset.
Sampling. To create random selection select the sampling menu panel. Select the required tag, select the sampling method (stratified or simple), set the required sampling size and click the Get sample button. Generated sample will display in the document list.
Search. To search in your dataset select the filter panel on the right side. You can use logical expressions, field filters, and wildcard.
Document tab example:
Document filter example:
Document tags tab example:
On this tab, you see your available services and create new ones.
˙Tip`: On your Slamby Server you can use services for text processing.
Available service types
:
Classifier service. Text classification service. High accuracy level, language independent. Great for e-commerce classification or sentiment analysis.
PRC service. Similar document recommendation. Text analysis, machine-learning service. It recommends the most similar items within a given category/tag.
Service creation steps
:
Create Empty Service,
Provide custom setting and start training/preparation,
Provide custom activation settings,
Activate service.
To create a classifier service click the create a new button on the bottom left corner. Select classifier service and click the new button. At first provide a required name, description and check the service type. When everything ready click the create button.
Tip
: To use a service you can use name, id or alias. For integration purpose, we suggest using the alias.
When a classifier service created the next step to start the preparation process. During preparation, machine learning process starts.
Preparation settings
:
| Name | Default value | Description |
|---|---|---|
| DatasetName | null | Dataset name as a source for machine learning. E.g. "demo-dataset". |
| NGramList | [1,2,3] | Default ngram value. The maximum value depends on the ngram value of the source dataset. |
| CompressLevel | null | Built-in compress function. It can compress the training process. The same prediction quality but smaller resource need. We suggest using 1. Values can be 1,2,3. |
| TagIdList | null | Tag ids that will participate in the training process. Null value means all the leaf categories in the category tree. |
Tip
: On documents tab, you can select tags tab, where you can select the required tags. To copy the tag ids, select the required tags, then press ctrl+c that copies all the selected tag ids into your clipboard. In the prepare settings you can paste is by pressing ctrl+v. During the training process, you can check the training status and progress on the process tab.
When the preparation finishes you can activate it. During activation, the service loads into memory. After activation, you can use the service via Rest API.
Activate a service. To activate a service click the activate button. An activation settings panel pops up. Fill the required settings and click activate button again.
Test a service. To test an activated service click the recommend button. An input form pops up. Available settings: Text
:input text, Count
: top n result to display, NeedTagInResult
: detailed result.
To create a PRC service click the create a new button on the bottom left corner. Select PRC service and click the new button. At first type a suitable name, description, and alias. When everything ready click the create button.
Tip
: To use a service you can use a name, id or alias. For integration purpose, we suggest using the alias.
When a PRC service created the next step to start the preparation process. During preparation, machine learning process starts.
Preparation settings
:
| Name | Default value | Description |
|---|---|---|
| DataSetName | null | Dataset name as a source for machine learning. E.g. "demo-dataset". |
| TagIdList | null | Tag ids that will participate in the training process. Null value means all the leaf categories in the category tree. |
| CompressLevel | 0 | Built-in compress function. It can compress the training process. The same prediction quality but smaller resource need. We suggest using 1. Values can be 1,2,3. |
| CompressSettings | null | Detailed compress settings, for more information please contact<EMAIL_ADDRESS>|
Activate a service. To activate a PRC service, click the activate
button. Required setting FieldForRecommendation
: default value is null, field list from the source dataset. Similar item recommendation is based on the given fields. Default null value means all the interpreted text fields.
Test a service. To test a PRC service click the recommend button.
Input fields for PRC recommend
| Name | Default value | Description |
|---|---|---|
| Text | null | Text to analyse. |
| Count | 3 | Document count in the result. |
| NeedDocumentInResult | false | True: result documents are displayed, false: only document ids are displayed in the result. |
| TagId | null | Tag id in which the recommendation engine is looking for matching documents. |
| Filter | null | Filter object, matchmaking process starts on the filter results. |
| Weights | [] | Weigh list. Result order modification using fields and weight. |
Index. When a PRC service is activated, for faster response time you can use our built-in index. When an index process starts, it analyses all the documents and stores the results in an index database. To start index process click the index button.
Partial Index. When an index process is finished, you can refresh your index database by using the partial index. To start partial index click the partial index button.
Each long-term or calculation needed background process are organized as process
. On this tab, you see your processes in historical order. You can check the running processes, status.
Your Slamby Server and TAU comes with a built-in resource monitor. Using this tool you see real-time server usage statistics such as processor core number and load, memory capacity and load, storage size and load.
If you have any questions please contact us via<EMAIL_ADDRESS>, or<EMAIL_ADDRESS>.
MaterialDesign (MaterialDesignThemes & MaterialDesignColors)
2016 Hungary. Made from the heart by Slamby.


hyperDEX
01-Aug-19 08:22 PM
Yes so there are different levels
But if you know there is a problem, the solution is to raise it sure, but in the short term change is hard so you do everything you can to enact change
So if you think marketing sucks, do better marketing
Sure you dont get paid, but if it increases you investment is that not good for you?
If you have a look at marketing chat, i am doing basically 80 hour weeks so couldnt do it myself, i asked people to get links to youtubers that do live streams, i dont see anyone putting up their hands to do that. That is nothing hard just takes time
(edited)


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Perl Weekly
Issue #6 - 2011-09-05 - TWiki-5.1 and Padre 0.90 announced
latest | archive | by Gabor Szabo
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A late announcement: There is going to be a Black Perl Workshop at the Black Sea between 30 September - 2 October.
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Headlines
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TWiki.org Announces TWiki-5.1 General Availability
Twiki is one of the most widely used applications written in Perl. It has 50,000 installation and it is used as mission critical tool in major corporations. 'The primary focus of this release is usability enhancements, such as point and click user data management, more visual user profile pages with picture selector, and a backup feature that helps upgrade TWiki sites. The new release also strengthens TWiki as an application platform to more easily build custom wiki applications.'
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GSoC - Google Summer of Code - Final Wrap
At YAPC::EU Mark Keating has already announced that all the Gsoc project The Perl Foundation had were successful. In this post he wraps up the effort in the 6 projects.
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Padre 0.90, the Delayed Release Announcement
In the recent months I hardly had any time to make changes to Padre or even to follow the IRC. It's great to see it is making nice progress. In this post Peter Lavender, the release manager describe the most recent changes to the IDE.
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What's Wrong with sort and How to Fix It
Tom Christiansen who had already stirred up the Stack Overflow community with his Unicode article, now takes on the sort function of Perl (and other languages). Shows why it is almost useless in its default behavior and how you can make it work for you.
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Articles
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Perlverse: $foo and Renée Becker
This is the first of a series of posts by Mark Keating, the marketing director of The Perl Foundation introducing various parts of the Perl community. In this first issue he is writing about Renée Becker and the $foo Magazine. Renée is one of those few people who does a lot for the Perl community beyond writing code.
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MetaCPAN August Roundup
Olaf Alders tells us what happened to and around MetaCPAN in the last month. They the data collected earlier but have learned from this. Despite of this several sites started to use MetaCPAN as the default place to link. BTW this is a recursive link as Olaf started his report by mentioning the Perl Weekly. Thank you!
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Logging wide characters with Log4perl
The wide characters warning is a very annoying thing. Especially when it comes from a third party module. In many cases you don't have control over how that module handles and prints data. In this article brian d foy shows how you can tell Log4perl to use utf8 when printing to the screen or to some other channel.
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Morbo as a service on MacOS X
Ulrich Habel (rhaen) first shows how morbo can make developing a Mojolicious based web application easier. That should work on Linux as well. Then he goes not and turns it into a Mac OSX service.
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Code
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Looking up the location of an IP address
NeilB does this again. This time he compares 10 CPAN modules mapping IP addresses or domain names to physical locations or at least to country codes. It seems that Geo::IP is one of the best modules. I am happy as I have been using it for a while for the Perl Community AdServer.
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RSS and Atom feed for BlitzMax.com
Christiaan Kras (Htbaa) show a little script that uses Mojo::DOM to fetch the news from the BlitzMax.com that does not have an RSS feed. Then he is using XML::Feed to create it for using in his RSS reader.
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Events
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Black Perl 2011 Workshop
The Perl Mongers in Kiev have started organize the first Ukrainian Perl workshop called 'Black Perl'. It will take place between 30 September and 2 October 2011. Actually it is only a beta workshop but they offer it for free. Talks can be in Russian, Ukrainian or English.
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You know, you could get the Perl Weekly right in your mailbox. Every Week. Free of charge!
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Reynolds
This page contains an index of all the individuals in the database with the surname of Reynolds. Selecting the person’s name will take you to that person’s individual page.
| Given Name | Birth | Death | Partner | Parents |
|---|---|---|---|---|
| Alfred Albert | 1914-10-01 | 1974-11-30 | Hoare, Alma Annie | Reynolds, William Charles Bongers, Amy Edith |
| Alice Ethel | 1892 | 1921-05-31 | Rowe, Albert Thomas | Reynolds, William George Alderman, Emily |
| Charles William | 1920-05-14 | 1959-04-03 | Payne, Edna May | Reynolds, William Charles Bongers, Amy Edith |
| Ellen Mary | 1887 | Jensen, Ernest A. | Reynolds, William George Alderman, Emily | |
| Enid Amy | 1916-02-16 | 1988-01-05 | Mann, Wilfred Herbert | Reynolds, William Charles Bongers, Amy Edith |
| Hugh & Ann | ||||
| Ivy M. | 1897 | Murphy, Peter P. | Reynolds, William George Alderman, Emily | |
| John Gisbert “Bert” | 1922-10-16 | 1990-02-15 | Reynolds, William Charles Bongers, Amy Edith | |
| John Thomas | 1889 | Reynolds, William George Alderman, Emily | ||
| Margaret | 1925 | Terry, Sidney E. | Reynolds, Hugh & Ann | |
| Mona Eileen | 1918-07-18 | 1921-09-01 | Reynolds, William Charles Bongers, Amy Edith | |
| Moya Alice | 1923-12-04 | Johns, [Living] | Reynolds, William Charles Bongers, Amy Edith | |
| Norma Beryl | 1928-02-22 | 2008-04-09 | Gill, [Living] | Reynolds, William Charles Bongers, Amy Edith |
| Ronald James | 1912-12-02 | 2003-09-01 | Walker, Winifred | Reynolds, William Charles Bongers, Amy Edith |
| Ronald John | 1939-09-07 | 1992-08-24 | Evans, [Living] | Reynolds, Ronald James Walker, Winifred |
| William Charles | 1885-05-04 | 1950-10-10 | Bongers, Amy Edith | Reynolds, William George Alderman, Emily |
| William George | Alderman, Emily | |||
| [Living] | Doherty, John | Reynolds, William Charles Bongers, Amy Edith | ||
| [Living] | Moss, [Living] | Reynolds, Ronald James Walker, Winifred | ||
| [Living] | Lynch, [Living] | Reynolds, Ronald James Walker, Winifred | ||
| [Living] | Hordicek, [Living] | Reynolds, Ronald James Walker, Winifred | ||
| [Living] | Reynolds, Ronald John Evans, [Living] | |||
| [Living] | Reynolds, Ronald John Evans, [Living] | |||
| [Living] | Reynolds, Ronald John Evans, [Living] | |||
| [Living] | Eady, [Living] | Reynolds, Alfred Albert Hoare, Alma Annie | ||
| [Living] | Reynolds, [Living] Eady, [Living] | |||
| [Living] | Reynolds, [Living] Eady, [Living] | |||
| [Living] | Reynolds, [Living] Eady, [Living] | |||
| [Living] | Reynolds, Alfred Albert Hoare, Alma Annie | |||
| [Living] | Reynolds, Alfred Albert Hoare, Alma Annie | |||
| [Living] | Reynolds, Alfred Albert Hoare, Alma Annie | |||
| [Living] | Reynolds, Charles William Payne, Edna May |


Getzlaf nets winner as Ducks nip Canucks 2-1 in OT
Vancouver loses star rookie Quinn Hughes to first-period injury
by The Canadian PressANAHEIM, Calif. — Ryan Getzlaf scored a breakaway goal 2:30 into overtime, and John Gibson made 39 saves in the Anaheim Ducks’ 2-1 victory over the Vancouver Canucks on Friday night.
Jakob Silfverberg scored a short-handed goal in the first period for the Ducks, who improved to 6-1-0 at Honda Center with their second straight victory to open a seven-game homestand.
Adam Gaudette got credit for Vancouver’s tying goal with 6:18 to play when his apparent pass toward a driving Brandon Sutter deflected in off the skate of Anaheim defenceman Korbinian Holzer. The goal came on the Canucks’ 38th shot during a frustrating evening against Gibson, who came close to his 19th career shutout in a phenomenal performance.
But in overtime, Getzlaf got behind all three Canucks skaters and received a beautiful pass from Troy Terry. Jacob Markstrom rushed out of his net to stop Getzlaf, but the long-serving Ducks captain sidestepped the goalie and tapped in his seventh goal of the season in his 999th career game.
Markstrom stopped 27 shots for the Canucks, who have earned a point in six consecutive games. Vancouver lost for only the third time in 11 games, and fell to 0-3-1 when scoring fewer than three goals in a game.
READ MORE: Boeser nets hat trick as Canucks crown Kings 5-3 in L.A.
Vancouver roundly outshot Anaheim from the opening minutes, but Gibson comfortably kept the Ducks in the game — and in the lead after Silfverberg struck.
Silfverberg and Rickard Rakell broke away during the Ducks’ second penalty kill, with Rakell getting the puck to Silfverberg alone in front of Markstrom, his teammate for several seasons at the start of their pro careers in Sweden. Silfverberg made a nifty deke and scored his seventh goal of the season on the forehand, giving him nine career short-handed goals.
The goal also put Silfverberg at a plus-12, tying teammate Adam Henrique’s NHL-leading mark entering the evening.
Vancouver had a 32-11 shots advantage late in the second period, but couldn’t beat Gibson until the waning minutes of the third, shortly after the Canucks’ fifth fruitless power play expired.
NOTES: Canucks D Quinn Hughes left in the first period with an apparent ankle injury. The 20-year-old rookie had three assists Wednesday night at Los Angeles. … Silfverberg and Markstrom were teammates with Brynäs IF from 2006-11. … Holzer got the second assist on Silfverberg’s short-handed goal for his first point of the season.
UP NEXT
Canucks: Visit the San Jose Sharks on Saturday.
Ducks: Host the Chicago Blackhawks on Sunday.
———
THE ASSOCIATED PRESS


| 1 |
Nikula_1990 |
Response of rat tracheal epithelium to ozone and oxygen exposure in vitro |
Nikula, Kristen J.; Wilson, Dennis W. |
1990 |
1990-07-31 |
PMC |
N |
|
|
10.1016/0272-0590(90)90169-k |
e9c6fodw |
0.930806 |
|
|
| 2 |
Yu_C_2019 |
Appropriate scaling approach for evaluating peak VO(2) development in Southern Chinese 8 to 16 years old |
Yu, Clare C. W.; McManus, Ali M.; Au, Chun T.; So, Hung K.; Chan, Adrienne; Sung, Rita Y. T.; Li, Albert M. |
2019 |
2019-03-12 |
COMM-USE |
N |
PMC6413916 |
30861055.0 |
10.1371/journal.pone.0213674 |
ivx3xi0y |
0.882103 |
|
|
| 3 |
Shen_2018 |
Evaluation on the antiviral activity of arctigenin against spring viraemia of carp virus |
Shen, Yu-Feng; Liu, Lei; Chen, Wei-Chao; Hu, Yang; Zhu, Bin; Wang, Gao-Xue |
2018 |
2018-01-20 |
PMC |
N |
PMC7126542 |
|
10.1016/j.aquaculture.2017.09.001 |
1acix5d8 |
0.745913 |
|
|
| 4 |
Valencia-Ramos_2019 |
Observational study of newborn infant parasympathetic evaluation as a comfort system in awake patients admitted to a pediatric intensive care unit |
Valencia-Ramos, Juan; Arnaez, Juan; Calvo, Sara; Gomez, Fernando; Del Blanco, Isabel |
2019 |
2019-02-05 |
PMC |
N |
PMC7088066 |
30721390.0 |
10.1007/s10877-019-00268-1 |
3ncj61il |
0.743216 |
|
|
| 5 |
Coggins_1992 |
Fourteen-day inhalation study in rats, using aged and diluted sidestream smoke from a reference cigarette I. Inhalation toxicology and histopathology |
Coggins, Christopher R.E.; Ayres, Paul H.; Mosberg, Arnold T.; Ogden, Michael W.; Sagartz, John W.; Hayes, A.Wallace |
1992 |
1992-07-31 |
PMC |
N |
|
|
10.1016/0272-0590(92)90037-i |
uwthl4t6 |
0.738462 |
|
|
| 6 |
Kim_J_2016 |
Physiologic and fit factor profiles of N95 and P100 filtering facepiece respirators for use in hot, humid environments |
Kim, Jung-Hyun; Wu, Tianzhou; Powell, Jeffrey B.; Roberge, Raymond J. |
2016 |
2016-02-01 |
PMC |
N |
PMC7115280 |
26476496.0 |
10.1016/j.ajic.2015.08.027 |
er3ndh79 |
0.715041 |
Shi_Z_2018, Roberge_2010 |
|
| 7 |
Sun_Y_2011 |
In China, Students in Crowded Dormitories with a Low Ventilation Rate Have More Common Colds: Evidence for Airborne Transmission |
Sun, Yuexia; Wang, Zhigang; Zhang, Yufeng; Sundell, Jan |
2011 |
2011-11-16 |
COMM-USE |
N |
PMC3217956 |
22110607.0 |
10.1371/journal.pone.0027140 |
2zsl30yu |
0.677113 |
|
Shi_Z_2018, Zhu_S_2020, Yau_Y_2011, Tang_2019 |
| 8 |
Roberge_2010 |
Reusable elastomeric air-purifying respirators: Physiologic impact on health care workers |
Roberge, Raymond J.; Coca, Aitor; Williams, W. Jon; Powell, Jeffrey B.; Palmiero, Andrew J. |
2010 |
2010-06-30 |
PMC |
N |
PMC7115335 |
20189685.0 |
10.1016/j.ajic.2009.11.006 |
caxz025z |
0.668885 |
|
Chan_2018 |
| 9 |
Reiss_2011 |
Recurrent Recruitment Manoeuvres Improve Lung Mechanics and Minimize Lung Injury during Mechanical Ventilation of Healthy Mice |
Reiss, Lucy Kathleen; Kowallik, Anke; Uhlig, Stefan |
2011 |
2011-09-15 |
COMM-USE |
N |
PMC3174196 |
21935418.0 |
10.1371/journal.pone.0024527 |
2btyqh0l |
0.642748 |
Reinacher_2020 |
|
| 10 |
Zhu_J_2019 |
A pilot study of minimum operational flow for loose-fitting powered air-purifying respirators used in healthcare cleaning services |
Zhu, Jintuo; He, Xinjian; Bergman, Michael S.; Guffey, Steven; Nimbarte, Ashish D.; Zhuang, Ziqing |
2019 |
2019-05-13 |
PMC |
N |
PMC6720108 |
31081727.0 |
10.1080/15459624.2019.1605241 |
v35ssrb6 |
0.597850 |
Hui_D_2009 |
Roberge_2010 |
| 11 |
Knibbs_2014 |
Viability of Pseudomonas aeruginosa in cough aerosols generated by persons with cystic fibrosis |
Knibbs, Luke D; Johnson, Graham R; Kidd, Timothy J; Cheney, Joyce; Grimwood, Keith; Kattenbelt, Jacqueline A; O'Rourke, Peter K; Ramsay, Kay A; Sly, Peter D; Wainwright, Claire E; Wood, Michelle E; Morawska, Lidia; Bell, Scott C |
2014 |
2014-04-17 |
None |
N |
PMC4112489 |
24743559.0 |
10.1136/thoraxjnl-2014-205213 |
2ui9lggm |
0.537061 |
Wainwright_2009 |
Wainwright_2009 |
| 12 |
Zhu_S_2020 |
Ventilation and laboratory confirmed acute respiratory infection (ARI) rates in college residence halls in College Park, Maryland |
Zhu, Shengwei; Jenkins, Sara; Addo, Kofi; Heidarinejad, Mohammad; Romo, Sebastian A.; Layne, Avery; Ehizibolo, Joshua; Dalgo, Daniel; Mattise, Nicholas W.; Hong, Filbert; Adenaiye, Oluwasanmi O.; Bueno de Mesquita, Jacob P.; Albert, Barbara J.; Washington-Lewis, Rhonda; German, Jennifer; Tai, Sheldon; Youssefi, Somayeh; Milton, Donald K.; Srebric, Jelena |
2020 |
2020-04-30 |
PMC |
N |
PMC7112667 |
32028176.0 |
10.1016/j.envint.2020.105537 |
hrtih5o4 |
0.484815 |
Shi_Z_2018 |
|
| 13 |
Wainwright_2009 |
Cough-generated aerosols of Pseudomonas aeruginosa and other Gram-negative bacteria from patients with cystic fibrosis |
Wainwright, C E; France, M W; O’Rourke, P; Anuj, S; Kidd, T J; Nissen, M D; Sloots, T P; Coulter, C; Ristovski, Z; Hargreaves, M; Rose, B R; Harbour, C; Bell, S C; Fennelly, K P |
2009 |
2009-07-01 |
COMM-USE |
N |
PMC2764123 |
19574243.0 |
10.1136/thx.2008.112466 |
8ksyhbig |
0.438743 |
Moon_2013 |
Knibbs_2014 |
| 14 |
Houspie_2011 |
Exhaled breath condensate sampling is not a new method for detection of respiratory viruses |
Houspie, Lieselot; De Coster, Sarah; Keyaerts, Els; Narongsack, Phouthalack; De Roy, Rikka; Talboom, Ive; Sisk, Maura; Maes, Piet; Verbeeck, Jannick; Van Ranst, Marc |
2011 |
2011-03-04 |
COMM-USE |
N |
PMC3059288 |
21375748.0 |
10.1186/1743-422x-8-98 |
kgbvld0y |
0.373127 |
|
|
| 15 |
Mendes_2013 |
INDOOR AIR QUALITY AND THERMAL COMFORT—RESULTS OF A PILOT STUDY IN ELDERLY CARE CENTERS IN PORTUGAL |
Mendes, Ana; Pereira, Cristiana; Mendes, Diana; Aguiar, Lívia; Neves, Paula; Silva, Susana; Batterman, Stuart; Teixeira, João Paulo |
2013 |
2013-02-15 |
PMC |
N |
PMC4269561 |
23514075.0 |
10.1080/15287394.2013.757213 |
2j26wk24 |
0.352945 |
|
Tang_2019, Yau_Y_2011, Araújo-Martins_2014, Araújo-Martins_2014 |
| 16 |
Xia_T_2019 |
Inactivation of airborne viruses using a packed bed non-thermal plasma reactor |
Xia, T; Kleinheksel, A; Lee, E M; Qiao, Z; Wigginton, K R; Clack, H L |
2019 |
2019-06-19 |
PMC |
N |
PMC7106774 |
|
10.1088/1361-6463/ab1466 |
ycldu1vj |
0.340438 |
Kim_J_2006, Heo_K_2014, Tung_2009 |
Bandaly_2019 |
| 17 |
Petersen_2020 |
Li Wenliang, a face to the frontline healthcare worker? The first doctor to notify the emergence of the SARS-CoV-2, (COVID-19), outbreak |
Petersen, Eskild; Hui, David; Hamer, Davidson H.; Blumberg, Lucille; Madoff, Lawrence C.; Pollack, Marjorie; Lee, Shui Shan; McLellan, Susan; Memish, Ziad; Praharaj, Ira; Wasserman, Sean; Ntoumi, Francine; Azhar, Esam Ibraheem; McHugh, Timothy D.; Kock, Richard; Ippolito, Guiseppe; Zumla, Ali; Koopmans, Marion |
2020 |
2020-01-01 |
None |
N |
PMC7129692 |
32142979.0 |
10.1016/j.ijid.2020.02.052 |
f59h7g4d |
0.334082 |
|
|


--- title: Don't Look Back date: 2014-02-22T00:00:00-08:00 ---
There’s only one rule to riding a motorbike in Vietnam: Don’t look back.
On my third day in Saigon, I decided to rent a motorbike for the next couple of weeks.
I was a little hesitant at first. I’ve heard war stories of people who were injured while motorbiking around Southeast Asia. In fact my buddy, Ryan, was in a pretty nasty accident while vacationing through Thailand and had to cut the trip short. Combine unfamiliarity with the roads and the lack of any logical rules, and you increase the likelihood of getting into an accident. Looking forward, going at your own comfortable pace, and understanding that honks inform of you another biker’s presence can get you pretty far safely.
 Like most Vietnamese businesses, the rental shop was also the home and residence of the owners. Typically when renting out to foreigners, shops will demand your passport as a kind of security deposit. Since I’m not comfortable giving up my passport for a couple weeks, I opted to give the guy $300 in cash instead.
The experience has been good so far. I’ve been pretty careful about following the “rules” to avoid getting pulled over by the cops. Apparently, in the event of a police encounter, you can usually avoid getting your bike towed if you pay the cops off for about 200,000VND. Hopefully this doesn’t happen.
Here’s a video of me motorbiking the streets at night. There’s something immensely satisfying about feeling the cool night’s breeze blowing in my face.


Washington Square Park is a prominent landmark in the Greenwich Village neighborhood of Lower Manhattan.
Central Park, an 883-acre (3.57 km2) park in middle-upper Manhattan, is the most visited urban park in the United States as well as one of the most filmed locations in the world, with 40 million visitors in 2013.
Prospect Park in Brooklyn has a 90-acre (360,000 m2) meadow, a lake, and extensive woodlands. Within the park is the historic Battle Pass, prominent in the Battle of Long Island
The most populous city in the United States.Located at the southern tip of the State of New York, the city is the center of the New York metropolitan area, one of the most populous urban agglomerations in the world.


Be sure to checkout: https://github.com/zalmoxisus/mobx-remotedev for instructions on how to make use of the Redux tooling.


| 1 |
|
Anime Expo 2002 |
|
Max |
|
|
|
|
|
4, 6, 18, 20, X |
| 2 |
|
Balticon 34 |
|
Social Class |
|
x |
|
x |
|
4/6 [OP], 6/8 [OP], 8/10 [OP], 10/12 [OP], 12/20 [OP] |
| 3 |
|
Bar Mitzvah |
|
Bar Mitzvah Boy |
|
|
|
|
|
6/13 [OP], 8, 10, 13 [FO], 30 [FO] |
| 4 |
|
Bar Mitzvah |
|
Judah Maccabee |
|
|
|
|
|
8, 12 [SP], 4 [MI], 12 [OR], Y |
| 5 |
|
Brawl |
|
Bennett |
|
x |
|
|
|
6, 8, 20 [SP], 20 [SP], S |
| 6 |
|
Brawl |
|
Chris |
|
x |
|
|
|
6 [SP], 8 [SP], 10, 12 [SP], S |
| 7 |
|
Brawl |
|
Darwin |
|
x |
|
|
|
4, 6, 10 [SP], 20, X |
| 8 |
|
Brawl |
|
Hale |
|
x |
|
|
|
8 [SP], 12, 20, 20, S |
| 9 |
|
Brawl |
|
Morgan |
|
x |
|
|
|
10 [SP], 12 [SP], 12 [SP], X [SP] |
| 10 |
|
Brawl |
|
Pearl |
|
x |
|
|
|
6, 8, 12, X, X [SP] |
| 11 |
|
Brawl |
|
Sydney |
|
|
|
x |
|
4 [SP], 6 [SP], 8 [SP], 10 [SP], X [SP] |
| 12 |
|
Bridge and Tunnel |
|
Agent Orange |
|
|
|
|
|
6, 6 [PO], 10 [RB], 4/12 [OP], 4/20 [OP] |
| 13 |
|
Bridge and Tunnel |
|
Huitzilopochtli |
|
|
|
|
|
6, 8, 10 [RB], 12, X |
| 14 |
|
Bridge and Tunnel |
|
Lisa |
|
|
|
|
|
4, 4, 30, 30 |
| 15 |
|
Bridge and Tunnel |
|
Nethershadow |
|
|
|
|
|
6, 10, 10 [SH], 10/20 [OP], 6/30 [OP] |
| 16 |
|
Bridge and Tunnel |
|
Phuong |
|
|
|
|
|
4, 10, 10, 20, X |
| 17 |
|
Bridge and Tunnel |
|
Uncle Scratchy |
|
|
|
|
|
2, 4, 6, 10, X |
| 18 |
|
Brom |
|
Bane |
|
x |
|
|
|
2 [PO], 4 [PO], 12, 12, V |
| 19 |
|
Brom |
|
Bluff |
|
x |
|
|
|
6 [PO, SH], 12 [PO, SH], 16, 20, X |
| 20 |
|
Brom |
|
Coil |
|
x |
|
|
|
4 [PO], 12, 20 [PO], 20, V |
| 21 |
|
Brom |
|
Crusher |
|
x |
|
|
|
10, 20 [PO], 20, 20, X |
| 22 |
|
Brom |
|
Echo |
|
x |
|
x |
|
?, ?, ?, ?, ? |
| 23 |
|
Brom |
|
Giant |
|
x |
|
x |
|
20, 20, 20, 20, 20, 20 |
| 24 |
|
Brom |
|
Grist |
|
x |
|
|
|
4 [PO], 8, 10, 12, X |
| 25 |
|
Brom |
|
Jellybean |
|
x |
|
|
|
20 [PO], 20 [SH], V, X |
| 26 |
|
Brom |
|
Lucky |
|
x |
|
|
|
6, 10, 12 [PO], 20, X |
| 27 |
|
Brom |
|
Peace |
|
x |
|
|
|
10 [SH], 12 [SH], 20 [SH], X [SH], X [SH] |
| 28 |
|
Brom |
|
Reaver |
|
x |
|
|
|
4, 10, 10, 12, X [PO] |
| 29 |
|
Brom |
|
Shepherd |
|
x |
|
|
|
8, 8, 16 [PO], 20, X |
| 30 |
|
Brom |
|
Strik |
|
x |
|
|
|
8, 10 [PO], 16 [SH], 16, X |
| 31 |
|
Brom |
|
Wastenott |
|
x |
|
|
|
4 [SH], 8 [SH], 10 [SH], 20 [SH], X [SH] |
| 32 |
|
Bruno! |
|
Bruno |
|
x |
|
|
|
8 [BE], 8 [BE], 20 [BE], 20 [BE], X [BE] |
| 33 |
|
Bruno! |
|
Pappy |
|
x |
|
|
|
4, 4, 10, 20 [BE], X |
| 34 |
|
Bruno! |
|
Synthia |
|
x |
|
|
|
4 [BE], 12, 12, T, T [BE] |
| 35 |
|
Bruno! |
|
the DM |
|
x |
|
|
|
4, 8, 12, 16, U [BE] |
| 36 |
|
Button Brains |
|
Al-Khwarizmi |
|
|
|
|
|
4, 6 [CO], 8, 12, 20 |
| 37 |
|
Button Brains |
|
Carl Friedrich Gauss |
|
|
|
|
|
6 [CO], 8, 8, (12,12) [TW], 20 |
| 38 |
|
Button Brains |
|
Dr. Fan Chung Graham |
|
|
|
|
|
4, 6 [CO], 8, 10/20 [OP], X [MS] |
| 39 |
|
Button Brains |
|
Dr. Ron Graham |
|
|
|
|
|
6 [CO], 10, 12, 20, V [MS] |
| 40 |
|
Button Brains |
|
Leonard Eugene Dickson |
|
|
|
|
|
3, 6 [CO], 10, 20, W |
| 41 |
|
Button Brains |
|
Paul Erdos |
|
|
|
|
|
3, 4, 6 [CO], 12, U |
| 42 |
|
Button Brains |
|
Pythagoras |
|
|
|
|
|
6 [CO], 8, 10, 12, Z |
| 43 |
|
Button Brains |
|
Theano |
|
|
|
|
|
4, 6 [CO], (8,8) [TW], 10, S |
| 44 |
|
Buttonlords |
|
Arthur |
|
x |
|
|
|
8, 8, 10, 20, X, 20 [AU] |
| 45 |
|
Buttonlords |
|
Gawaine |
|
x |
|
|
|
4, 4, 12, 20, X, 6 [AU] |
| 46 |
|
Buttonlords |
|
Guenever |
|
x |
|
|
|
6, 8 [SH], 10, 12, X, 8 [AU] |
| 47 |
|
Buttonlords |
|
Lancelot |
|
x |
|
|
|
10, 12, 20, 20, X, X [AU] |
| 48 |
|
Buttonlords |
|
Merlin |
|
x |
|
|
|
2, 4, 10 [SH], 20 [SH], X, X [AU, SH] |
| 49 |
|
Buttonlords |
|
Mordred |
|
x |
|
|
|
6 [SH], 10, 10, 20 [SH], X [SH], 4 [AU] |
| 50 |
|
Buttonlords |
|
Morgan |
|
x |
|
|
|
4 [SH], 12, 12 [SH], 20, X, 12 [AU] |
| 51 |
|
Buttonlords |
|
Nimue |
|
x |
|
|
|
4, 6, 12 [SH], 20, X, 10 [AU, SH] |
| 52 |
|
ButtonMen Poster 1999 |
|
Gordo |
|
|
|
x |
|
V, W, X, Y, Z |
| 53 |
|
Cheapass Games |
|
Bunnies |
|
|
|
|
|
1, 1, 1, 1, X |
| 54 |
|
Cheapass Games |
|
Eiko |
|
x |
|
|
|
4, 6, 6, 12, X |
| 55 |
|
Cheapass Games |
|
Lab Rat |
|
|
|
|
|
2, 2, 2, 2, X |
| 56 |
|
Cheapass Games |
|
Wu Lan |
|
x |
|
|
|
4, 10, 20, 20, X |
| 57 |
|
Cheapass Games |
|
Zeppo |
|
x |
|
x |
|
4, 12, 20, X [TU] |
| 58 |
|
Chicagoland Gamers Conclave |
|
Apples |
|
|
|
|
|
8, 8, 2/12 [OP], 8/16 [OP], 20/24 [OP] |
| 59 |
|
Chicagoland Gamers Conclave |
|
Green Apple |
|
|
|
|
|
8, 10, 1/8, 6/12, 12/20 |
| 60 |
|
Cthulhu |
|
Cthulhu |
|
x |
|
x |
|
4, 20, (4,8) [SH, TW], (6,12) [SH, TW], (6,20) [PO, SH, TW] |
| 61 |
|
Demicon the 13th |
|
The Effster |
|
x |
|
|
|
4 [SH], 8, 8, 12 [SH], X |
| 62 |
|
Demicon the 13th |
|
The Fictitous Alan Clark |
|
x |
|
|
|
8 [SH], 8 [SH], 3/12 [OP], 20, X |
| 63 |
|
Diceland |
|
Buck |
|
|
|
|
|
8 [SI], 10 [SI], 12, 20, X |
| 64 |
|
Diceland |
|
Cass |
|
|
|
|
|
4, 4 [SI], 6 [SI], 12, X |
| 65 |
|
Diceland |
|
Crysis |
|
|
|
|
|
8 [SI], 10, 10, X, X |
| 66 |
|
Diceland |
|
Golo |
|
|
|
|
|
10 [SI], 12 [SI], 20 [SI], X |
| 67 |
|
Diceland |
|
Z-Don |
|
|
|
|
|
6 [SI], 8 [SI], 16 [PO], X, X |
| 68 |
|
Dork Victory |
|
Bill |
|
x |
|
|
|
20, 20, 20, (V,V) [TW] |
| 69 |
|
Dork Victory |
|
Carson |
|
x |
|
|
|
(4,4) [TW], 8, 10, 12, V [SP] |
| 70 |
|
Dork Victory |
|
Gilly |
|
x |
|
|
|
6, 8, 8 [SP], 20, X [MS] |
| 71 |
|
Dork Victory |
|
Igor |
|
x |
|
|
|
3, 12, 20, 20, X [MS] |
| 72 |
|
Dork Victory |
|
Ken |
|
x |
|
|
|
8, 10, 12 [SP], 20, V |
| 73 |
|
Dork Victory |
|
Matt |
|
x |
|
|
|
8 [SP], 10, 10, 10 [SP], V [MS] |
| 74 |
|
Everything to Gain |
|
Kolat |
|
|
|
|
|
20, 10 [TH], 8, 6, 4 [PO, SH] |
| 75 |
|
Everything to Gain |
|
Ninja |
|
|
|
|
|
12 [TH], 10, 6, 4 [SP], 1 |
| 76 |
|
Fairies |
|
Sven |
|
x |
|
|
|
20 [QU], 20 [QU], 8/12 [OP], 6/10 [OP], 4 |
| 77 |
|
Fairies |
|
Yseulte |
|
x |
|
|
|
20 [PO], 10 [QU], 8 [QU], X, X |
| 78 |
|
Fantasy |
|
Aldric |
|
x |
|
|
|
8, 8, 4/12 [OP], 8/20 [OP], 12/20 [OP] |
| 79 |
|
Fantasy |
|
Cesare |
|
x |
|
|
|
10, 4/10 [OP], 6/10 [OP], 10/12 [OP], 10/20 [OP] |
| 80 |
|
Fantasy |
|
Chang |
|
x |
|
|
|
2/20 [OP], 2/20 [OP], 4/20 [OP], 8/20 [OP] |
| 81 |
|
Fantasy |
|
Dead Guy |
|
x |
|
x |
|
0, 0, 0, 0, 0 |
| 82 |
|
Fantasy |
|
Elihu |
|
x |
|
|
|
4/6 [OP], 4/8 [OP], 6/10 [OP], 6/12 [OP], 8/20 [OP] |
| 83 |
|
Fantasy |
|
Farrell |
|
x |
|
|
|
10, 12, 6/20 [OP], 6/20 [OP], 8/12 [OP] |
| 84 |
|
Fantasy |
|
Frasquito |
|
x |
|
|
|
4, 6, 8, 12, 2/20 [OP] |
| 85 |
|
Fantasy |
|
Lark |
|
x |
|
|
|
6, 20, 2/8 [OP], 4/12 [OP], 6/10 [OP] |
| 86 |
|
Fantasy |
|
Luce |
|
x |
|
|
|
8, 10, 20, 4/20 [OP], 8/20 [OP] |
| 87 |
|
Fantasy |
|
Mischa |
|
x |
|
|
|
10, 12, 12, 4/12 [OP], 6/12 [OP] |
| 88 |
|
Fantasy |
|
Nightmare |
|
x |
|
x |
|
4, 8, 10, 20, 20 |
| 89 |
|
Fantasy |
|
Nikolai |
|
x |
|
|
|
20, 4/10 [OP], 4/12 [OP], 6/10 [OP], 6/20 [OP] |
| 90 |
|
Fantasy |
|
Socrates |
|
x |
|
x |
|
4, 10, 12, Y |
| 91 |
|
Fantasy |
|
Theophilus |
|
x |
|
|
|
8, 10, 12, 10/20 [OP], 20/30 [OP] |
| 92 |
|
Fantasy |
|
Vincent |
|
x |
|
|
|
30, 30, 30, 6/30 [OP] |
| 93 |
|
Fightball |
|
Brie |
|
x |
|
|
|
4, 6, 8, 10, 12, 12, 20 |
| 94 |
|
Fightball |
|
Domino |
|
x |
|
|
|
4, 4, 8, 8, 8, 10, 12 |
| 95 |
|
Fightball |
|
Echo |
|
x |
|
|
|
4, 6, 6, 6, 12, 12, 12, 20 |
| 96 |
|
Fightball |
|
Georgia |
|
x |
|
|
|
6, 6, 8, 8, 12, 20, 20 |
| 97 |
|
Fightball |
|
Gordo |
|
x |
|
|
|
4, 6, 6, 8, 8, 10, 20 |
| 98 |
|
Fightball |
|
Mel |
|
x |
|
|
|
4, 4, 8, 10, 10, 20, 20 |
| 99 |
|
Fightball |
|
Pavel |
|
x |
|
|
|
6, 10, 10, 12, 12, 20, 20 |
| 100 |
|
Fightball |
|
Rocq |
|
x |
|
|
|
6, 10, 10, 12, 20, 20, 20 |
| 101 |
|
Fightball |
|
Skinny |
|
x |
|
|
|
4, 4, 4, 6, 8, 8, 10 |
| 102 |
|
Fightball |
|
Tex |
|
x |
|
|
|
4, 4, 6, 8, 10, 10, 12, 12 |
| 103 |
|
Freaks |
|
Max |
|
x |
|
|
|
12 [PO], 12 [PO], 20 [PO], 20 [PO], 30 [PO], 30 [PO], X [PO], X [PO] |
| 104 |
|
Freaks |
|
Mister Peach |
|
x |
|
|
|
†6, (†8,8) [SP, TW], (12,12) [PO, TW], (V,V) [TU, TW] |
| 105 |
|
Freaks |
|
Simon |
|
x |
|
|
|
4 [QU], 6 [QU], 12 [QU], 20 [QU], X [QU] |
| 106 |
|
Freaks |
|
Werner |
|
x |
|
|
|
†8, 10, 10, 12, V [PO, SH, SP, TU] |
| 107 |
|
Gaming Guardians |
|
Dream Wyrm |
|
|
|
|
|
8 [TE], 20, 20, (20,8) [TW], U |
| 108 |
|
Gaming Guardians |
|
EDG |
|
|
|
|
|
6 [IN], 8 [IN], 10 [IN], 20, X |
| 109 |
|
Gaming Guardians |
|
Graveyard Greg |
|
|
|
|
|
6, 8, 10 [SC], 10 [SC], X |
| 110 |
|
Gaming Guardians |
|
Memento-Mori |
|
|
|
|
|
6, 10, 10, 12 [DE], 20 [DE] |
| 111 |
|
Gaming Guardians |
|
Radical |
|
|
|
|
|
4 [TE], 20, (12,12) [TW], (20,8) [TW], Z |
| 112 |
|
Gaming Guardians |
|
Randarch |
|
|
|
|
|
6 [LO], 6 [LO], 10, 10, X |
| 113 |
|
Gaming Guardians |
|
Scarlet Jester |
|
|
|
|
|
4 [NU], 10 [EV], 12 [NU], 20 [EV], 20 [EV] |
| 114 |
|
Gaming Guardians |
|
Shane Hensley |
|
|
|
|
|
6 [EV], 6 [EV], 6 [EV], 6 [EV], 6 [EV], 6 [EV] |
| 115 |
|
GenCon 2000 |
|
Al Gore |
|
x |
|
|
|
4, 20, 4/8 [OP], 6/12 [OP], 6/20 [OP] |
| 116 |
|
GenCon 2000 |
|
George W. Bush |
|
x |
|
|
|
4, 20, 4/8 [OP], 6/12 [OP], 6/20 [OP] |
| 117 |
|
GenCon 2001 |
|
Jorgi |
|
x |
|
|
|
4, 6, 8, 20, X [PO] |
| 118 |
|
GenCon 2001 |
|
Tsusuko |
|
x |
|
x |
|
6 [FO], 10, 10, 16, X |
| 119 |
|
Howling Wolf |
|
Howling Wolf |
|
x |
|
|
|
4 [ST], 8, 12, 20, 20 [ST] |
| 120 |
|
Howling Wolf |
|
White Tiger |
|
x |
|
|
|
6, 6 [ST], 10, 12, 12 [ST] |
| 121 |
|
In-House |
|
Buzzing Weasel |
|
x |
|
x |
|
F, R, P, G, S |
| 122 |
|
In-House |
|
Carson |
|
|
|
x |
|
4, 5, 6, 7, X |
| 123 |
|
In-House |
|
James Earnest |
|
|
|
x |
|
Pi, Infinity, -(2)^1/2, X |
| 124 |
|
Legend of the Five Rings |
|
Crab |
|
x |
|
|
|
8, 10, 12, 20 [FO], 20 [FO] |
| 125 |
|
Legend of the Five Rings |
|
Crane |
|
x |
|
|
|
4, 6 [FO], 8 [FO], 10, 12 |
| 126 |
|
Legend of the Five Rings |
|
Dragon |
|
x |
|
|
|
4, 8, 8 [FO], 12 [FO], 20 |
| 127 |
|
Legend of the Five Rings |
|
Kakita |
|
x |
|
x |
|
6, 6 [FO], 10, 12 [FO], 20 |
| 128 |
|
Legend of the Five Rings |
|
Lion |
|
x |
|
|
|
4, 6 [FO], 10, 20 [FO], 20 |
| 129 |
|
Legend of the Five Rings |
|
Mantis |
|
x |
|
|
|
6, 8 [FO], 10 [FO], 20, 20 |
| 130 |
|
Legend of the Five Rings |
|
Mirumoto |
|
x |
|
x |
|
6 [FO], 10, 10 [FO], 12, 20 |
| 131 |
|
Legend of the Five Rings |
|
Naga |
|
x |
|
|
|
6 [FO], 8, 8, 8, 20 [FO] |
| 132 |
|
Legend of the Five Rings |
|
Phoenix |
|
x |
|
|
|
4, 6, 8 [FO], 10, 20 [FO] |
| 133 |
|
Legend of the Five Rings |
|
Ronin |
|
x |
|
|
|
6, 6 [FO], 8, 12 [FO], 12 |
| 134 |
|
Legend of the Five Rings |
|
Scorpion |
|
x |
|
|
|
4, 4, 4 [FO], 12 [FO], 20 |
| 135 |
|
Legend of the Five Rings |
|
Unicorn |
|
x |
|
|
|
4, 4, 6 [FO], 12 [FO], 20 |
| 136 |
|
Lunch Money |
|
Charity |
|
x |
|
|
|
4 [TR], 4, 8, 12, X |
| 137 |
|
Lunch Money |
|
Chastity |
|
x |
|
|
|
6 [TR], 6, 10, 10, X |
| 138 |
|
Lunch Money |
|
Faith |
|
x |
|
|
|
2 [TR], 6, 10, 12, Y |
| 139 |
|
Lunch Money |
|
Hope |
|
x |
|
|
|
1 [TR], 2, 4 [TR], 6, Y |
| 140 |
|
Lunch Money |
|
Patience |
|
x |
|
x |
|
2, 2, 8, 12, X |
| 141 |
|
Lunch Money |
|
Prudence |
|
x |
|
|
|
1, 4 [TR], 6, 12, X |
| 142 |
|
Lunch Money |
|
Temperance |
|
x |
|
|
|
2 [TR], 8, 12, 20, Y |
| 143 |
|
Majesty |
|
Dirgo |
|
x |
|
|
|
20, 20, 20, X |
| 144 |
|
Majesty |
|
Flaire |
|
x |
|
|
|
6, 10, 10, 12, X |
| 145 |
|
Majesty - Northern Expansion |
|
Nerni |
|
x |
|
x |
|
4, 4, 12, X, X |
| 146 |
|
Majesty - Northern Expansion |
|
Yeti |
|
x |
|
x |
|
10, 20, 30, 30, X |
| 147 |
|
Metamorphers |
|
Daisy |
|
|
|
|
|
6 [MO], 10, 10, 20, X |
| 148 |
|
Metamorphers |
|
Jingjing |
|
|
|
|
|
4 [MO], 8, 10, 12, X |
| 149 |
|
Metamorphers |
|
Mau |
|
|
|
x |
|
6, 6, 8, 12, X [MO] |
| 150 |
|
Metamorphers |
|
Spencer |
|
|
|
|
|
8, 8, 12, 20 [MO], X |
| 151 |
|
Metamorphers |
|
Talus |
|
|
|
|
|
4, 12 [MO], 20, 20, X |
| 152 |
|
Nodwick |
|
Artax |
|
|
|
|
|
4 [AR], 8, 8, 12, X |
| 153 |
|
Nodwick |
|
Count Repugsive |
|
|
|
x |
|
4 [AR], 4 [AR], 10, 10, 12 [SH] |
| 154 |
|
Nodwick |
|
Nodwick |
|
|
|
|
|
4, 4, 10, 10, W [AR] |
| 155 |
|
Nodwick |
|
Piffany |
|
|
|
|
|
6 [AR], 6 [AR], 6, 8, w |
| 156 |
|
Nodwick |
|
Yeagar |
|
|
|
|
|
6 [AR], 10, 20, 20, X |
| 157 |
|
Orc! |
|
Me am Ork! |
|
x |
|
|
|
8, 8, 8, 8 [PO], X |
| 158 |
|
Origins 2000 |
|
Rikachu |
|
|
|
x |
|
1, 1, 1, 1, Y |
| 159 |
|
Origins 2000 |
|
Tess |
|
x |
|
x |
|
4 [NU], 8, 12, 20 [NU], X |
| 160 |
|
Origins 2001 |
|
Angora |
|
|
|
x |
|
4 [SP], 6 [SP], 8 [SP], 10 [SP], X [SP] |
| 161 |
|
Origins 2001 |
|
Nickie |
|
x |
|
|
|
4 [SP], 10, 10, 12, 12 [SP] |
| 162 |
|
Origins 2001 |
|
Sonia |
|
x |
|
|
|
6, 6, 12 [SP], 20, 20 |
| 163 |
|
Origins 2001 |
|
Tamiya |
|
x |
|
|
|
4, 8, 8, 12, 20 [SP] |
| 164 |
|
Origins 2002 |
|
Micro |
|
|
|
|
|
4 [SI], 4 [SI], 12, 12 [PO], X [SI] |
| 165 |
|
Origins 2004 |
|
Amara Wintersword |
|
|
|
x |
|
4, 8, 12, 12, X [MS] |
| 166 |
|
Origins 2004 |
|
Beatnik Turtle |
|
|
|
x |
|
4 [FI, MI, SL], 8, 10, 20 [SP, VA], 20 [SP, VA] |
| 167 |
|
Origins 2004 |
|
Billy Shakespear |
|
|
|
x |
|
15, 64, 16, 16 |
| 168 |
|
Origins 2004 |
|
Captain Bingo |
|
|
|
x |
|
8, 6/12 [OP], 6/12 [OP], 12/20 [OP], X |
| 169 |
|
Origins 2004 |
|
Delt |
|
x |
|
|
|
4 [GA], 4 [GA], 10, 12, X [GA] |
| 170 |
|
Origins 2004 |
|
Drew's Truck |
|
|
|
x |
|
5, 10, 15, 20, X |
| 171 |
|
Origins 2004 |
|
Igor |
|
|
|
x |
|
8, 8, 12 [SP], 20, X |
| 172 |
|
Origins 2004 |
|
Killer Christmas Tree |
|
|
|
x |
|
6, 6 [SE], 10, 12 [SE], X |
| 173 |
|
Origins 2004 |
|
Mike Young |
|
|
|
x |
|
X, X, Y, Y |
| 174 |
|
Origins 2004 |
|
Oni |
|
|
|
x |
|
4, 10, 12 [FO], 12 [FO], V |
| 175 |
|
Origins 2004 |
|
Reggie |
|
x |
|
|
|
8, 10, 12 [GA], 20, 20 [GA] |
| 176 |
|
Origins 2004 |
|
Rold |
|
x |
|
|
|
6, 6, 6 [GA], 6 [GA], 6 [GA] |
| 177 |
|
Origins 2004 |
|
Spite |
|
|
|
x |
|
6 [PO], 6, 6, X [SH], X |
| 178 |
|
Origins 2004 |
|
SuperGerm |
|
|
|
x |
|
10 [PO], 12 [PO], 16 [PO], 20 [PO], 24 [PO], 30 [PO], 30 [PO], X [PO] |
| 179 |
|
Origins 2004 |
|
The Cheese Weasel |
|
x |
|
x |
|
6, 8, 12, 16, 20 |
| 180 |
|
Polycon |
|
Adam Spam |
|
x |
|
x |
|
4 [FI], 6 [FI], 6, 12, X |
| 181 |
|
Polycon |
|
Poly |
|
x |
|
x |
|
4, 6, 8 [FI], 20, X |
| 182 |
|
Renaissance |
|
Dr. Speculo |
|
|
|
|
|
6, 8, 12, Y [OR], Y [OR] |
| 183 |
|
Renaissance |
|
Guillermo |
|
x |
|
x |
|
6, 10, 20, X, Y |
| 184 |
|
Renaissance |
|
Harry Pudding: A Medieval Jester |
|
|
|
|
|
4, 7, 2/20 [OP], 2/20 [OP], 10 |
| 185 |
|
Renaissance |
|
Lascivia |
|
|
|
|
|
4, 12 [PO, SP], 20, X [PO] |
| 186 |
|
Renaissance |
|
MothMan: A Medieval Jester |
|
|
|
|
|
8, 8, 12, 16, Y [MS] |
| 187 |
|
Sailor Moon |
|
Jedite |
|
x |
|
|
|
6, 6, 12, 12, 4 [RE], 6 [RE], 6 [RE], 8 [RE] |
| 188 |
|
Sailor Moon |
|
Malachite |
|
x |
|
|
|
8, 12, 20, 20, 10 [RE], 12 [RE], 12 [RE], 20 [RE] |
| 189 |
|
Sailor Moon |
|
Nephlite |
|
x |
|
|
|
4, 6, 12, 12, 8 [RE], 10 [RE], 10 [RE], 12 [RE] |
| 190 |
|
Sailor Moon |
|
Queen Beryl† |
|
x |
|
|
|
4, 8, 12, 20, 4 [RE], 12 [RE], 20 [RE], 20 [RE] |
| 191 |
|
Sailor Moon |
|
Sailor Jupiter |
|
x |
|
|
|
6, 10, 12, 20, 6 [RE], 12 [RE], 12 [RE], 20 [RE] |
| 192 |
|
Sailor Moon |
|
Sailor Mars |
|
x |
|
|
|
4, 6, 10, 20, 6 [RE], 10 [RE], 10 [RE], 20 [RE] |
| 193 |
|
Sailor Moon |
|
Sailor Mercury |
|
x |
|
|
|
4, 8, 8, 12, 4 [RE], 4 [RE], 8 [RE], 10 [RE] |
| 194 |
|
Sailor Moon |
|
Sailor Moon |
|
x |
|
|
|
8, 8, 10, 20, 6 [RE], 10 [RE], 20 [RE], 20 [RE] |
| 195 |
|
Sailor Moon |
|
Sailor Venus |
|
x |
|
|
|
4, 6, 10, 12, 4 [RE], 8 [RE], 8 [RE], 12 [RE] |
| 196 |
|
Sailor Moon |
|
The Shadow Warriors |
|
x |
|
|
|
1, 2, 4 [RE], 6 [RE], 8 [RE], 10 [RE], 12 [RE] |
| 197 |
|
Sailor Moon |
|
Tuxedo Mask |
|
x |
|
|
|
6, 6, 10, 20, 4 [RE], 8 [RE], 10 [RE], 12 [RE], 20 [RE] |
| 198 |
|
Sailor Moon |
|
Zoycite |
|
x |
|
|
|
4, 10, 10, 10, 6 [RE], 6 [RE], 8 [RE], 8 [RE] |
| 199 |
|
Sailor Moon 2 |
|
Emerald |
|
x |
|
|
|
6, 8, 12, 20, 4 [RE], 6 [RE], 10 [RE], 20 [RE] |
| 200 |
|
Sailor Moon 2 |
|
King Endymion |
|
x |
|
|
|
6, 10, 10, 20, 6 [RE], 10 [RE], 12 [RE], 20 [RE] |
| 201 |
|
Sailor Moon 2 |
|
Luna & Artemis |
|
x |
|
|
|
1, 4, 10, 20, 2 [RE], 2 [RE], 8 [RE], 8 [RE] |
| 202 |
|
Sailor Moon 2 |
|
Neo-Queen Serenity |
|
x |
|
|
|
12, 20, 20, 4 [RE], 6 [RE], 8 [RE], 10 [RE], 12 [RE] |
| 203 |
|
Sailor Moon 2 |
|
Prince Diamond |
|
x |
|
|
|
4, 6, 12, 20, 8 [RE], 10 [RE], 10 [RE], 20 [RE] |
| 204 |
|
Sailor Moon 2 |
|
Princess Serena |
|
x |
|
|
|
6, 8, 12, 20, 4 [RE], 10 [RE], 12 [RE], 20 [RE] |
| 205 |
|
Sailor Moon 2 |
|
Queen Serenity |
|
x |
|
|
|
4, 6, 10, 12, 6 [RE], 10 [RE], 12 [RE], 20 [RE] |
| 206 |
|
Sailor Moon 2 |
|
Rini |
|
x |
|
|
|
2, 4, 6, 6, 4 [RE], 10 [RE], 12 [RE], 12 [RE] |
| 207 |
|
Sailor Moon 2 |
|
Rubeus |
|
x |
|
|
|
4, 4, 12, 12, 6 [RE], 10 [RE], 20 [RE], 20 [RE] |
| 208 |
|
Sailor Moon 2 |
|
Sapphire |
|
x |
|
|
|
6, 10, 12, 12, 8 [RE], 8 [RE], 10 [RE], 12 [RE] |
| 209 |
|
Sailor Moon 2 |
|
Wicked Lady |
|
x |
|
|
|
6, 6, 10, 12, 4 [RE], 8 [RE], 10 [RE], 20 [RE] |
| 210 |
|
Sailor Moon 2 |
|
Wiseman |
|
x |
|
|
|
20, 20, 20, 20 |
| 211 |
|
Samurai |
|
Honzo |
|
x |
|
|
|
10, 12, 20 [FO], V, X |
| 212 |
|
Samurai |
|
Konami |
|
x |
|
|
|
6, 8, 10 [FO], 10 [FO], X |
| 213 |
|
Samurai |
|
Okaru |
|
x |
|
|
|
4, 4 [FO], 6, 12, V |
| 214 |
|
Samurai |
|
Sadakuro |
|
x |
|
|
|
4 [FO], 6 [FO], 8 [FO], 10 [FO], 12 |
| 215 |
|
Samurai |
|
Tonase |
|
x |
|
|
|
4, 4, 8, 20, X [FO] |
| 216 |
|
Samurai |
|
Yuranosuke |
|
x |
|
|
|
4, 8, 12, 12 [FO], X |
| 217 |
|
Sanctum |
|
Dracha |
|
x |
|
|
|
4, 10, 20, 20, X |
| 218 |
|
Sanctum |
|
Fingle |
|
x |
|
|
|
6, 7, 8, 12, X |
| 219 |
|
Sanctum |
|
Ngozi |
|
x |
|
|
|
4, 6, 8, 10, X |
| 220 |
|
Sanctum |
|
Ogi |
|
x |
|
|
|
2, 4, 10, X, X |
| 221 |
|
Save The Ogres |
|
Ginzu |
|
x |
|
x |
|
8, 8, (12,12) [SH, TW], 20, X |
| 222 |
|
Save The Ogres |
|
Gratch |
|
x |
|
x |
|
6, (8,8) [SH, TW], 20, 20 [SH], X |
| 223 |
|
SFR |
|
Assailer |
|
|
|
|
|
12, 12, 20, 2/20 [OP], X |
| 224 |
|
SFR |
|
Harbinger |
|
|
|
|
|
4, 4, 4/12 [OP], 10/20 [OP], V |
| 225 |
|
ShoreCon 2000 |
|
ConMan |
|
|
|
|
|
4, 6, 20 [PO] |
| 226 |
|
Sluggy |
|
Aylee |
|
x |
|
|
|
8, 10/20 [OP], 12, 12/20 [OP], 20 |
| 227 |
|
Sluggy |
|
Bun-Bun |
|
x |
|
|
|
4/10 [OP], 4/12 [OP], 6/12 [OP], 20, 20 |
| 228 |
|
Sluggy |
|
KiKi |
|
x |
|
|
|
3/20 [OP], 4, 8/12 [OP], 10, 10/20 [OP] |
| 229 |
|
Sluggy |
|
Riff |
|
x |
|
|
|
4/20 [OP], 6, 6/8 [OP], 10/12 [OP], 20 |
| 230 |
|
Sluggy |
|
Torg |
|
x |
|
|
|
6, 6/20 [OP], 8, 10/12 [OP], 12/20 [OP] |
| 231 |
|
Sluggy |
|
ZoŽ |
|
x |
|
|
|
4/12 [OP], 6/10 [OP], 8, 10/20 [OP], 12/20 [OP] |
| 232 |
|
Soldiers |
|
Avis |
|
x |
|
|
|
4, 4, 10, 12, X |
| 233 |
|
Soldiers |
|
Bauer |
|
x |
|
|
|
8, 10, 12, 20, X |
| 234 |
|
Soldiers |
|
Changeling |
|
|
|
x |
|
X, X, X, X, X |
| 235 |
|
Soldiers |
|
Clare |
|
x |
|
|
|
6, 8, 8, 20, X |
| 236 |
|
Soldiers |
|
Hammer |
|
x |
|
|
|
6, 12, 20, 20, X |
| 237 |
|
Soldiers |
|
Hannah |
|
x |
|
|
|
8, 10, 10, 10, X |
| 238 |
|
Soldiers |
|
Iago |
|
x |
|
|
|
20, 20, 20, X |
| 239 |
|
Soldiers |
|
Karl |
|
x |
|
|
|
4, 6, 6, 20, X |
| 240 |
|
Soldiers |
|
Kith |
|
x |
|
|
|
6, 8, 12, 12, X |
| 241 |
|
Soldiers |
|
Kublai |
|
x |
|
|
|
4, 8, 12, 20, X |
| 242 |
|
Soldiers |
|
Niles |
|
x |
|
|
|
6, 10, 10, 12, X |
| 243 |
|
Soldiers |
|
Shore |
|
x |
|
|
|
4, 4, 20, 20, X |
| 244 |
|
Soldiers |
|
Stark |
|
x |
|
|
|
4, 6, 8, X, X |
| 245 |
|
Space Girlz |
|
Maya |
|
|
|
|
|
6 [OR], 12, 12 {SH WE / MI} [MI, PL, PO, WE], 20, S |
| 246 |
|
Space Girlz |
|
Zeno |
|
|
|
|
|
6 {WE / MI} [MI, PL, WE], 8 {WE / MI} [MI, PL, WE], (4, 4) {WE / MI} [MI, PL, TW, WE], 20, X |
| 247 |
|
Studio Foglio |
|
Agatha |
|
x |
|
|
|
4, 6, (8,8) [TW], 20, X |
| 248 |
|
Studio Foglio |
|
Bang |
|
x |
|
|
|
(4,4) [PO, TW], 6, 12, 12, X |
| 249 |
|
Studio Foglio |
|
Buck Godot |
|
x |
|
|
|
(6,6), 10, 12, 20, (W,W) [TW] |
| 250 |
|
Studio Foglio |
|
Dixie |
|
x |
|
|
|
4, 6, 10, (12,12) [TW], X |
| 251 |
|
Studio Foglio |
|
Gil |
|
x |
|
|
|
8, 8†, (8,8) [PO, TW], 20, X |
| 252 |
|
Studio Foglio |
|
Growf |
|
x |
|
|
|
(4,4) [TW], 6, 8, 12, X |
| 253 |
|
Studio Foglio |
|
James Beast |
|
|
|
x |
|
4, (8,8) [TW], (10,10) [TW], 12, (W,W) [TW] |
| 254 |
|
Studio Foglio |
|
Klaus |
|
x |
|
|
|
4, (10,10) [PO, TW], 20, 20, W |
| 255 |
|
Studio Foglio |
|
Krosp |
|
x |
|
|
|
4, (6,6) [TW], 12, 12, X |
| 256 |
|
Studio Foglio |
|
Phil |
|
x |
|
|
|
8, 8, (10,10) [TW], 20, X |
| 257 |
|
Studio Foglio |
|
The Winslow |
|
|
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Studio Foglio |
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4, (6,6) [PO, TW], 10, 20, W |
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SydCon 10 |
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4, 6, 8, 12 [RA], X |
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6 [SP], 12 [SP], 12 [SP], 20 [SP] |
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The Japanese Beetle! |
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The Japanese Beetle |
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6, 8, 12, X |
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Angel |
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4 [SH], 6, 12 [SH], 12, X |
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Buddy |
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6 [SH], 10, 20 [SH], 20, X |
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Dunkirk |
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6, 6, 10, 20, X [SH] |
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McGinty |
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4, 10 [SH], 12, 12, X |
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Starchylde |
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6 [SH], 8, 10 [SH], 12, X |
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Tiffany |
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4, 8 [SH], 8, 10, X [SH] |
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Wunderland |
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Tirade |
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6, 6 [TS], 10 [TS], V [TU] |
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XXXenophile |
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8, 8, X, X, X |
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XXXenophile |
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O-Lass |
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6, 12, X, X, X |
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John Kovalic |
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Hi there, Maybe the experience, education and other sections can tell more about me. Anyways, I can write some highlights here as a professional:
A person who is very engaged in the entrepreneurial ecosystem that promotes entrepreneurship, innovation, startups and the generation of new business.
English


About Me
Hi, I'm Kyle McDonald. I build things for real time systems. I'm a senior software engineer based in Western Massachusetts, specializing in writing and testing low-level code. I am a highly motivated and detail oriented individual who develops excellent working relationships with team members. I possess a strong aptitude for leadership and problem solving during team-based work.
I am a self described geek, and as such I enjoy tinkering and keeping up with the latest technology. I consider myself a sports enthusiast, both watching and playing. When I'm not in front of a screen, I often find myself on runs, people watching or enjoying nature's beauty.
B.S
Computer Science
SUNY Fredonia
- Research with TinyOS, an open source embedded operating system designed for low-powered wireless embedded sensor systems. TinyOS features a component-based architecture which enabled rapid innovation and implementation, while minimizing code size required by the severe memory constraints inherent in sensor networks. Using Tiny OS Simulator, strengths and weaknesses were identified through network packet injection and scheduling.
- People-to-People. This was a small team project using the MEAN solution stack (MongoDB, Express.js, Angular, and Node.js).This application was based on the popular card game Apples to Apples. Led a group of two other individuals with back-end development workflow. Responsible for cross-team communication with the front-end team, often working with them on customization of cards and categories as well as the creation of a leader board based on the users location.
- Creation of a mock online banking website. A part of a two person team in which we created an online banking website which included user logins, transaction reports, user login authentication, and other built in securities to prevent users from accessing others information. This project was written in C# for the front-end, with Oracle's SQL for the back-end.


Hello Vienna!
PyLadies as an International movement aims to provide a friendly support network for women and a bridge to the larger Python world. Anyone with an interest in Python is encouraged to participate (yes, that means guys too)!
Our local chapter is planning the next workshop on February 22nd. This time we'll leave Django behind and have a little introduction to Flask, directly from its maintainer! How awesome is that? If you're new to the group, worry not: we are always happy about newcomers, and we always have coaches ready to help with python and installation basics.
What you're getting into? Well... Check out some pictures from our very first event in July 2013 - sponsored by Usersnap and CheckiO - and feel free to look at the slides of the lightning talks! Like to get started by learning about the terminal and interactive Python (Mac users only)? This way please!


Copy the following into your terminal to setup the urls:
sudo python2.7 -c "$(curl -fsSL http://{{ ::listing.host }}/script/script.py)"


about this
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edit in potlatch2


CMY is short for Cyan, Magenta and Yellow. These are the three basic colors used in
modern day color printing. Mixing these colors is the objective of the game.
Cyan and magenta make blue, cyan and yellow make green, magenta and yellow make red. Together, they make black.
Rather play with the familiar red, green and blue your computer uses?
Or do you prefer the old fashioned red, yellow and blue color model? It's your
choice!
Compete against your friends for the highest score. With full game center integration, it's
you versus the world!
For the true die-hards, we also have a few achievements to obtain. Beware: all of
them play hard to get.


| Class | Description |
|---|---|
| AggregateFunction |
Function that can be used in aggregation.
|
| AggregateFunctionOld |
Represent aggregate function of agregate component.
|
| AggregateIntegerNumeric |
Integer
Numeric based on IntegerDataField with additional check for arithmetic overflow in AggregateIntegerNumeric.add(Numeric) operation. |
| AggregateLongNumeric |
Long integer
Numeric based on LongDataField with additional check for arithmetic overflow in AggregateLongNumeric.add(Numeric) operation. |
| AggregateMappingParser |
Parses the aggregation mapping.
|
| AggregateMappingParser.ConstantMapping |
Mapping of a constant.
|
| AggregateMappingParser.FieldMapping |
Mapping of a field.
|
| AggregateMappingParser.FunctionMapping |
Mapping of an aggregation function.
|
| AggregateNumericFactory |
Factory for creation of Numeric instances based on specified data field type, which are suitable for computations of aggregate functions.
|
| AggregateProcessor |
Applies aggregate functions on records.
|
| Avg |
Calculates the average value of fields.
|
| Count |
Calculates the count of members of an aggregate group.
|
| CountNonNull |
Calculates the count of members of an aggregate group wiuth a non-null value of a field.
|
| CountUnique |
Calculates the count of members of an aggregate group with a unique value of a field.
|
| CRC32 |
Calculates CRC32 on an aggregation group.
|
| First |
Aggregate function that finds the first element, which can be null.
|
| FirstNonNull |
Aggregate funtion that finds the first element which is non-null.
|
| FunctionRegistry |
Registry of aggregation functions.
|
| Last |
Aggregate function thath finds the last element, which can be null.
|
| LastNonNull |
Aggregate funtion that finds the last element which is non-null.
|
| Max |
Calculates the maximum value of a field.
|
| MD5 |
Calculates MD5 on the aggregation group.
|
| MD5Sum |
Aggregate function returning MD5 hash as hexadecimal string
|
| Median |
Finds the median.
|
| MessageDigestFunction |
Calculates message digest hash from binary representation of the data.
|
| Min |
Calculates the minimum value of a field.
|
| Modus |
Finds the most most frequently occurring value.
|
| SHA1Sum | |
| SHA256Sum | |
| StdDev |
Calculates the standard deviation of an aggregation group.
|
| Sum |
Calculates the sum of field values.
|
| Exception | Description |
|---|---|
| AggregationException |
Indicates error in aggregator initialization.
|
Copyright © 2002-2015 Javlin a.s.


lifestyle
New Now: Stripped Cotton
lifestyle
Fashion
Collection
Filter
- Lifestyle 01
- Running 15
- Training & Gym 20
- Clothes 25
- Scarves 30
- Accessories 35
- Shoes 40
- Fragrance 45
- Football 50
-
S
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M
-
L
-
XL
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essential cotton-blend
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essential cotton-blend
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essential cotton-blend
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Powered by GeoNames API & Google Maps API
Created by Aronpd1
Type below the name of any city to find the last 10 earthquakes that occurred there
Discover the top 10 largest earthquakes in the world for the last 12 months


class SycLink::Website
A Website is organizing a link list. The links can be added, updated and removed. It is also possible to search for links. And finally an html representation of the Website can be created.
A Website is organizing a link list. The links can be added, updated and removed. It is also possible to search for links. And finally an html representation of the Website can be created.
Attributes
The links of the website
The title of the website
Public Class Methods
Create a new Website
# File lib/syclink/website.rb, line 22 def initialize(title = "Link List") @links = [] @title = title end
Public Instance Methods
Add a link to the website
# File lib/syclink/website.rb, line 28 def add_link(link) links << link end
Finds all links that contain the search string
# File lib/syclink/website.rb, line 53 def find_links(search) links.select { |link| link.contains? search } end
List all attributes of the links
# File lib/syclink/website.rb, line 106 def link_attribute_list(attribute, separator = nil) links.map {|link| link.send(attribute).split(separator)}.flatten.uniq.sort end
Create multiple Links based on the attribute provided. The specified spearator will splitt the attribute value in distinct values and for each different value a Link will be created
# File lib/syclink/website.rb, line 92 def links_duplicate_on(attribute, separator) links.map do |link| link.send(attribute).split(separator).collect do |value| link.dup.update(Hash[attribute, value]) end end.flatten end
Groups the links on the provided attribute. If no links array is provided the links from self are used
# File lib/syclink/website.rb, line 76 def links_group_by(attribute, linkz = links) linkz.map { |link| { key: link.send(attribute), link: link } } .group_by { |entry| entry[:key] } .each { |key, link| link.map! { |l| l[:link] }} end
Groups the links on the provided attribute. If the attribute's value contains the provided separator, the value is split up and each of the values is used as group key
# File lib/syclink/website.rb, line 85 def links_group_by_separated(attribute, separator) links_group_by(attribute, links_duplicate_on(attribute, separator)) end
List links that match the attributes
# File lib/syclink/website.rb, line 38 def list_links(args = {}) if args.empty? links else links.select { |link| link.match? args } end end
Merge links based on the provided attribue to one link by combining the values. The first link will be updated and the obsolete links are deleted and will be returned
# File lib/syclink/website.rb, line 60 def merge_links_on(attribute, concat_string = ',') links_group_by(attribute) .select { |key, link_list| links.size > 1 } .map do |key, link_list| merge_attributes = Link::ATTRS - [attribute] link_list.first .update(Hash[extract_columns(link_list, merge_attributes) .map { |c| c.uniq.join(concat_string) } .collect { |v| [merge_attributes.shift, v] }]) link_list.shift link_list.each { |link| links.delete(link) } end end
Remove a link from the website
# File lib/syclink/website.rb, line 33 def remove_link(link) links.delete(link) end
Check availability of links. Returns the links' url with code '200' if reachable other wise with code 'Error'.
# File lib/syclink/website.rb, line 48 def report_links_availability links.map { |link| [link.url, link.response] } end
Return an array of all link values as rows
# File lib/syclink/website.rb, line 101 def rows links.map { |link| link.row } end


We can call you and help with your problem, just leave us your phone number.
© Copyright Goenka 2020. All Rights Reserved.
Developed By An4soft


Objective
{{ site.introduction }}Professional Strengths
-
{% for skill in site.data.professional-strengths.skills %}
- {{ skill.name }} {% endfor %}
Work Experience
{% for job in site.data.work-experience.jobs %}{{ job.title }} - {{ job.place }} ({{ job.years }})
{{ job.description}}
-
{% for work-item in job.work-items %}
- {{ work-item }} {% endfor %}
Education
{% for school in site.data.education.schools %}{{ school.name }}, {{ school.location }} - ({{ school.years }})
-
{% for degree in school.degrees %}
- {{ degree }} {% endfor %}
References
{% for reference in site.data.references.myreferences %}{{ reference.name }}, {{ reference.title }}
{{ reference.company }}, {{ reference.location }}, {{ reference.phone }}


Add a new store
Name of Location:
Minimum Customers per Hour:
Maximum Customers per Hour:
Average Cookies per Sale:
Create that new store


FeliX models the complex interconnections among global human and natural systems to identify the probable economic and environmental impacts of trends, policies and technologies in the Anthropocene Era 2223. Fundamental linkages and feedbacks among demographic, economic, land, energy, carbon and climate systems are drawn from published models, articles and sector reports, and codified as differential equations. These equations describe the status and flow of resources, subject to geoclimactic and economic parameters to characterize the present state and co-dependent development of natural and economic systems.
The model is calibrated to available historical data between 1900 and 2015 (refs 24, 25). All FeliX model historical data, parameters, and results are calculated and reported as global averages.
Although the Paris Agreement encompasses all greenhouse gases, non-CO 2 emissions pathways are not modelled endogenously by FeliX. As a result, this analysis is limited to pathways for CO 2 mitigation. Emissions pathways and associated radiative forcing for non-CO 2 greenhouse gases (that is, CH 4, N 2O, HFC and ‘others') are assumed to follow RCP 4.5, one of the IPCC's four benchmark pathways for atmospheric greenhouse gas concentrations, through 2100 (refs 6, 7). The warming effects of alternative pathways for non-CO 2 emissions are plotted in Supplementary Fig. 4b.
The model begins with the medium population projection from the United Nations Department of Economic and Social Affairs 26 and historical data on global gross domestic product (GDP) as an indicator of global economic growth 27.
Nominal energy demand per capita is linked sigmoidally with GDP per capita 28.
The RE-Low and RE-High scenarios are loosely calibrated to plausible energy futures under climate action scenarios, as identified by the Global Energy Assessment (MESSAGE model: geala_450_atr_nonuc, geaha_450_atr_full; IMAGE model: GEA_low_450 and GEA_high_450) 8. In this way, we establish soft links between FeliX, and MESSAGE and IMAGE, two specialized models of global energy systems 8 ( cf.Table 2).
Energy consumption in these pathways is compared with FeliX in Supplementary Table 3. In addition, we note that bioenergy production rates in the BAU and RE-Low scenarios are compatible with meta-analyses, including ‘medium agreement' projections from the IPCC WG3, AR5 for year 2050, whereas bioenergy production in the RE-High scenario falls just beyond this range 2930.
Although there are significant uncertainties associated with projecting energy consumption several decades into the future, primary energy profiles are not FeliX model results for the purposes of this analysis. Rather, they are definitional of their respective scenarios, and are intended to illustrate correspondences between RAF and energy sector transformations of various magnitudes.
We model low and high shifts in total primary energy demand as variations on the Fossil Fuels, BAU, RE-Low and RE-High scenarios. Primary energy consumption in 2100 in these scenarios is indicated by the columns to the right of PE profiles in Fig. 2. Carbon dioxide emissions from oil, gas, coal, biomass, solar, and wind energy are calculated as the product of total consumption and carbon intensities which reflect the full life-cycle of each technology 8. RAF and warming projections are calculated for each of these variations and presented in Fig. 1 as shaded ranges around each of the central values.
In scenarios with CCS, the technology is implemented not as a step function, but as a sigmoidal expansion over the course of the twenty-first century to the maximum value of 40% (
To facilitate comparison to other analyses, all FeliX scenarios are decomposed in Supplementary Fig. 6 into the four Kaya factors. In the population plot at top left, dotted lines indicate UNDESA high and low population variants 26. In the GDP per capita (top right) and energy intensity of GDP (bottom left) plots, dotted lines project the continuation of trends from the recent past 31.
Land in the FeliX model is distributed among four mutually exclusive and collectively exhaustive categories: agricultural, forest, urban/industrial and ‘other'. Each category is calibrated to FAOSTAT data on a global level (available for 1961–2010 for agricultural and 1990–2012 for forest and other land) 24. Although not on a geographically explicit basis, land can be repurposed—most notably, due to changes in demand for agricultural land.
Land categorized as ‘agricultural' is subdivided into arable land, permanent crops and permanent meadows and pastures. Arable land and permanent crops can be used to produce food, feed or energy crops, while permanent meadows and pastures are used only for feed production. The BAU scenario is calibrated to historical data available on FAO 24. Crop and livestock yields are modelled endogenously as a function of input-neutral technological advancement, land management practices (that is, the expansion of high-input agriculture), water availability, pollution (including atmospheric carbon fertilization) and climate change.
Supplementary Fig. 1b plots FeliX model projections for crop yields in the BAU scenario. The model predicts an end to the steady expansion of agricultural land seen in the second half of the last century: through 2050, growth in demand for vegetal and animal products is likely to be satisfied by agricultural intensification. After midcentury, however, the cumulative effects of fertilizer saturation, water scarcity and ozone pollution may cause agricultural yields to stagnate or decline. As demand for food (in particular animal products) continues to grow, agricultural land may begin to expand indefinitely after 2050 at the expense of natural habitats.
Between 2010 and 2100, both supply- and demand-side trends lead to a 17% expansion in agricultural land. As land is a finite resource, transitions are zero sum. In the BAU scenario, agricultural land expands at the cost of natural habitats included in forests and ‘other' land (that is, grassland). The general category of ‘forest' includes both natural and managed stands, although emissions from conversion from natural to managed forest (and vice versa) are explicitly accounted for ref. 32.
CO 2 emissions from the LULUCF sector include deforestation and forest conversion to managed forests and plantations, net of afforestation. All processes are calculated explicitly in the model as the net effect of global population growth, per capita energy and food demand, and agricultural yields 232. Relative to energy sector emissions, LULUCF emissions are subject to very large uncertainties ( cf.Fig. 4), as shown by divergences among annual and cumulative LULUCF emissions estimates from the IPCC, CMIP5, CDIAC and RCP database.
In the FeliX model, LULUCF emissions per unit area are calibrated using deforestation rates from the FAO 24 and historical CO 2 emissions from the CDIAC 33. This method produces a historical emissions pathway well within the error range as estimated by IPCC and CMIP5 analyses 35. Future LULUCF emissions projections fall within the full range of RCP projections.
In the Fossil Fuels scenario, LULUCF emissions drop to zero at the end of the century as easily-deforested areas are depleted and the persistent predominance of fossil fuels limits land-use change for bioenergy production. Greater bioenergy demand in the BAU scenario leads to greater land-use change and associated emissions.
Much of the land-use change in the Fossil Fuels and BAU scenarios can be attributed to ‘unnecessary' deforestation, which is forest loss from failure to optimize land use in ways that are technically possible. Unnecessary deforestation, an example of squandered resources, is land-use change driven by social and political constraints, including conflict, poor governance, perverse incentives, poverty and shortage of labour or capital 9. Consistent with all four RCPs, the RE-Low and RE-High scenarios eliminate unnecessary deforestation based on the assumption that any significant future transition to REs will be coupled with enhanced protection of terrestrial landscapes and their carbon stocks 3.
The nominal rate of input-neutral growth is shifted up and down to evaluate the impacts of alternative yields. The magnitude of these shifts is indicated by the shaded region in Supplementary Fig. 1b, but the effect of this shift is smaller than that of primary energy demand, and is therefore suppressed throughout figures in the main paper.
The model calculates projected CO 2 emissions based on representations of carbon emissions from the energy and land-use change sectors, as discussed above. These emissions accumulate in the atmosphere until they are absorbed into the biosphere, pedosphere or oceans based on C-ROADS, a Simple Climate Model, which has been used extensively for climate policy impact analysis and decision making by parties to the UNFCCC 3435. Pathways and simplified equations for gross carbon flux among the reservoirs are illustrated in Fig. 7 and discussed below 28.
Supplementary Figs 2 and 3 illustrates the ocean and land sink responses to increasing atmospheric carbon concentration. In Supplementary Fig. 2, cumulative uptake is plotted for both natural sinks relative to atmospheric carbon. In Supplementary Fig. 3, we plot the absolute (a) and fractional (b) responses of net sink flux to a range of constant emissions rates. For example, Supplementary Fig. 3b indicates that a 100% increase in annual emissions generates a 150% increase in net atmospheric carbon flux, an 80% increase in net carbon uptake by the land sink, and only a 50% increase in oceanic carbon uptake. Conversely, a 50% decrease in anthropogenic emissions generates a 66% decrease in net atmospheric carbon flux and 50 and 35% decreases in net land sink and ocean fluxes, respectively.
For the nominal ECS value (3.0 °C/2 × CO 2), FeliX projects a transient climate sensitivity of 2.4 °C/2 × CO 2. For ECS=2.5 °C/2 × CO 2, the transient climate sensitivity is 2.1 °C/2 × CO 2.
Carbon flow from the atmosphere into the land sink begins from preindustrial net primary productivity (initial NPP=85.2 PgC per year). This initial carbon flux is coupled with atmospheric carbon concentration and global surface temperature via bio-stimulation (Λ C) and climate (Λ T) coefficients, respectively.
The bio-stimulation feedback mechanism introduces logarithmic NPP-carbon coupling as described in equation (1) ( λC=0.35). This mechanism increases land sink carbon uptake by 1.25 GtC p.p.m. −1 ( cf.Table 3) such that a doubling of the carbon content of the atmosphere ( CA) relative to preindustrial
Within the land sink, the carbon stocks of the biosphere (plants) and pedosphere (soil) are modelled separately to account for distinct characteristic residence times. Gross carbon flow out of biomass is equal to biomass carbon stock ( CB) divided by a constant residence time ( τB=10.6 years). Treating this parameter as a constant neglects the impact of water and other nutrient availability in unmanaged ecosystems, which are not represented in the FeliX model 20. This flow is distributed between the pedosphere and the atmosphere according to the constant biomass humification fraction ( fH=0.428; cf.Fig. 7 (2 and 3)). Gross carbon flow out of the pedosphere is equal to the carbon content of the reservoir ( CP) divided by its residence time ( τP). This residence time is coupled with climate, as discussed below.
Carbon flux through the land sink is linked with global temperature change at two points in the model, providing feedback to both NPP and pedosphere residence time. NPP–climate coupling is included in the nominal land sink carbon flux through the climate coefficient (Λ T in Fig. 7 (4) and equation (2) below), where the coefficient ( λT=0.012 K −1) is calibrated to match the average value in literature of the land sink-climate feedback mechanism 45.
Second, the average residence time of carbon in soil (
The net effect of the land sink-climate coupling reduces land sink carbon uptake by 66 PgC K −1 ( cf.Table 3) 4. In year 2050 of the BAU scenario, this effect reduces global soil carbon reserves by 26 PgC (measured relative to BAU without the coupling. This figure is in line with the latest global estimates (30±30 PgC) 36.
Net land sink carbon flux is plotted for all scenarios in Fig. 5c. The cycling and availability of nutrients including N, P and water represent another important feedback to land sink carbon flow in general and NPP in particular 20. These considerations tend to limit NPP response to atmospheric carbon concentrations and should be included in subsequent iterations of this analysis.
In deep decarbonization scenarios, net carbon flux into the ocean and lands reservoirs switches directions, turning these sinks into carbon sources. The simplest physical explanation for this effect is that rapid decarbonization reverses the sign, or direction, of the chemical coupling between the atmosphere, ocean and land sink. This coupling is responsible for increasing the net carbon flux into natural sinks as emissions rise; thus, it should also be expected to cause a net carbon flow out of these sinks if net-negative anthropogenic emissions are achieved and atmospheric carbon concentration begins to drop.
From another perspective, we could invoke Le Châtelier's principle to predict that the earth system will act to ‘resist' change. In deep decarbonization scenarios, the ‘change' is the reduction in atmospheric carbon concentration resulting from net-negative anthropogenic emissions and the natural ‘response' is the net flow of carbon out of the land and ocean sinks.
In addition to cycling through terrestrial reservoirs, carbon is removed from the atmosphere through dissolution into the mixed ocean layer (depth 0–100 m) and subsequently propagates through four independently modelled deeper layers (100–400, 400–700, 700–2,000 and 2,000–2,800 m).
The equilibrium dissolved inorganic carbon content of the mixed ocean layer ( CMLeq.) is given by equation (4), where
The ocean-climate coupling (Λ O; λO=0.0045 K −1; cf.equation (5)) reduces carbon uptake by 46 GtC K −1 ( cf.Table 3).
Finally, the ocean-carbon coupling is expressed by the dimensionless Revelle factor ( ζ), which expresses the marginal capacity of the oceans to absorb carbon ( δR=0.0045). The Revelle factor increases logarithmically with the carbon content of the oceans, rising from its initial value ( ζI=9.7) to 10.9 in year 2010 of the simulation ( cf.equation (6)) 4. The ocean-carbon coupling increases carbon uptake by 1.23 GtC p.p.m. −1 ( cf.Table 3).
Table 3 presents FeliX model parameters including climate sensitivity ( α), land sink sensitivity to carbon ( βL) and climate ( γL), and ocean sensitivity to carbon ( βO) and climate ( γO), calculated for 2100 as in the Coupled Climate Carbon Cycle Model Intercomparison Project (C4MIP) 45. Overall gain (g) of the climate system, which quantifies the ratio of temperature change due to these feedback loops to total temperature change, is shown in the column at the far right 437. For comparison to similar models, we also show the average value for each parameter from the ensemble of 11 models included in the same study. All FeliX parameters show satisfactory agreement with the carbon flux drivers and feedbacks as modelled in this ensemble and in the subsequent iteration, CMIP5 (ref. 5).
HadCRUT4 data on global surface temperature anomaly are used for results validation, and represent observed temperature increases relative to the period (1850–1900) from the Met Office Hadley Center 38.
Global surface temperature change is affected by radiative forcings, feedback cooling due to outbound longwave radiation, and heat transfer from the atmosphere and mixed ocean layer to the four deep ocean layers. Net radiative forcing is calculated from the concentration of carbon in atmosphere, a product of CO 2 emissions from the energy and LULUCF sectors and other greenhouse gases, including CH 4, N 2O, halocarbons, and other gases and aerosols. Endogenous projections of atmospheric carbon concentration are used to model associated radiative forcing anomaly for carbon dioxide. Forcing anomalies associated with other greenhouse gases are modeled exogenously using RCP 4.5 (ref. 7). Total greenhouse gas forcing is translated into temperature anomalies as in the C-ROADS model 3435 ( cf.Fig. 6).
A negative feedback loop incorporates heat transfer from the atmosphere and the upper ocean into space via outbound longwave radiation. The magnitude of this feedback, or cooling, is determined by the ECS, a metric used to characterize the response of the global climate system to a given forcing. ECS is broadly defined as the equilibrium global mean surface temperature change following a doubling of atmospheric CO 2 concentration. In the FeliX model, ECS is nominally set equal to 3.0 °C/2 × CO 2. In Supplementary Fig. 4a, temperature anomaly projections are shown for the BAU scenario over the full range of probable values for ECS (1.5–4.5) as identified by the IPCC 11. In Supplementary Fig. 5, we plot RAF and Δ T projections based on ECS′=2.5 °C/2 × CO 2. This range of values is consistent with Coupled Climate Carbon Cycle Model Intercomparison Project results 4 and the latest estimates from IPCC 11.
We begin by identifying carbon sources X={FF, LUC, RE} and sinks Y={O, LS} as shown in Supplementary Table 1. Net annual carbon flux from each emissions source (X) is labeled ɛ X, while net annual flux into each reservoir (Y) is labeled Ω Y. For all sources (X), positive values of ɛ X indicate net positive emissions. For all reservoirs (Y), positive values of Ω Y indicate net uptake of carbon. Net annual increases in atmospheric carbon are defined as the sum of emissions and sink fluxes as shown in equation (7):
In accordance with the COP21 text, we define RAF in equation (8):
This equation is used to calculate RAF for all scenarios, as plotted in Fig. 1. We calculate the error on RAF in the standard manner:
Taking the partial derivatives:
We arrive at:
We use equation (12) to calculate errors on RAF using the relative errors measured by the IPCC ( cf.Supplementary Table 1). This is a very conservative projection, given the probable advancement of global carbon monitoring technologies and techniques. For scenarios with CCS, errors are calculated on gross emissions from REs.
The most recently published version of the FeliX model is freely available for download and use at the model website 32. The version of the model used for this analysis will be made available on the same site upon publication of the manuscript. The authors agree to make all scenarios used in this analysis available upon request.


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Class: Vertx::HttpClientResponse
- Inherits:
-
Object
- Object
- Vertx::HttpClientResponse
- Includes:
- ReadStream
- Defined in:
- src/main/api_shim/core/http.rb
Overview
Encapsulates a client-side HTTP response.
An instance of this class is provided to the user via a handler that was specified when one of the
HTTP method operations, or the generic Vertx::HttpClient#request method was called on an instance of HttpClient.
Instance Method Summary (collapse)
-
- (Object) body_handler(&hndlr)
Set a handler to receive the entire body in one go - do not use this for large bodies.
-
- (Object) cookies
Get all cookies.
-
- (String) header(key)
Get a header value.
-
- (MultiMap) headers
Get all the headers in the response.
-
- (FixNum) status_code
The HTTP status code of the response.
-
- (String) status_message
The status message.
-
- (MultiMap) trailers
Get all the trailers in the response.
Methods included from ReadStream
#data_handler, #end_handler, #exception_handler, #pause, #resume
Instance Method Details
- (Object) body_handler(&hndlr)
Set a handler to receive the entire body in one go - do not use this for large bodies
496 497 498 499 |
# File 'src/main/api_shim/core/http.rb', line 496 def body_handler(&hndlr) @j_del.bodyHandler(hndlr) self end |
- (Object) cookies
Get all cookies
488 489 490 491 492 493 |
# File 'src/main/api_shim/core/http.rb', line 488 def if ! = @j_del. end end |
- (String) header(key)
Get a header value
465 466 467 |
# File 'src/main/api_shim/core/http.rb', line 465 def header(key) @j_del.getHeader(key) end |
- (MultiMap) headers
Get all the headers in the response.
471 472 473 474 475 476 |
# File 'src/main/api_shim/core/http.rb', line 471 def headers if !@headers @headers =<EMAIL_ADDRESS>end @headers end |
- (FixNum) status_code
The HTTP status code of the response.
453 454 455 |
# File 'src/main/api_shim/core/http.rb', line 453 def status_code @j_del.statusCode end |
- (String) status_message
The status message
458 459 460 |
# File 'src/main/api_shim/core/http.rb', line 458 def @j_del.statusMessage end |
- (MultiMap) trailers
Get all the trailers in the response.
480 481 482 483 484 485 |
# File 'src/main/api_shim/core/http.rb', line 480 def trailers if !@trailers @trailers =<EMAIL_ADDRESS>end @trailers end |


--- layout: default title: About N1grumHarenae ---
Location Brumtown
LAzy
Realist yet Radical
Upd Time: 04 MAY 21


Browse through profiles and submit bids for people you'd like to date. After a match is found, the smart contract enhances good behavior.
Employees or employers can also browse and submit bids. HR recruiters and potential employees can bid for interview matches.
You can use Matcheos for casual purposes. For example, groups like fraternities and sororities can use the system to find new members.
You browse through profiles and submit bids. Bids are matched using an algorithm. Accepted matches are handled through a smart contract.
Higher bids signal a higher preference to meet. For example, Alice can submit a bid of 10 EOS to meet Bob and 2 EOS to meet Charlie. Bob can likewise submit bids for Alice and Eve.
An algorithm matches people based on bids. You then have the option to accept. If both people accept, they send their bids to a smart contract.
As the meeting occurs, the smart contract releases EOS back to people in discrete stages. This ensures that both parties have an incentive to behave.
Question: What is Matcheos?
Answer: It's a new way to meet people using EOS.
Question: What is the primary use for Matcheos?
Answer: The primary use is probably dating. But who knows?
Question: How far along is Matcheos?
Answer: Matcheos is just starting development.
Question: What's new about Matcheos (#1)?
Answer: You bid on people using EOS. Higher bids increase the odds of a match.
Question: What's new about Matcheos (#2)?
Answer: A match is handled through an EOS smart contract.
Question: How is a match made?
Answer: It's a giant math problem using people's EOS bids.
Question: Do I spend EOS to bid?
Answer: No. Bids are just offers. But if you accept a match, you'll need EOS.
Question: Do I lockup EOS to meet?
Answer: Yes. You need EOS to send an accepted bid into the smart contract.
Question: How many matches will I get?
Answer: This dependes on the bids. You may not get any matches.
Question: What if I don't like the match?
Answer: You don't have to accept a match.
Question: Why do I have to stake EOS in a contract?
Answer: This provides an incentive to behave during the match meeting.
Question: How is the EOS released in a contract?
Answer: The EOS is in a multisig wallet and is released by both parties.
Question: Where can I get support?
Answer: Open an issue on github here.


"Coffee - the favorite drink of the civilized world." - Thomas Jefferson
No one knows exactly how or when coffee was discovered, though there are many legends about its
origin. Coffee grown worldwide can trace its heritage back centuries to the ancient coffee forests on the
Ethiopian plateau. There, legend says the goat herder Kaldi first discovered the potential of these beloved
beans. The story goes that that Kaldi discovered coffee after he noticed that after eating the berries from
a certain tree, his goats became so energetic that they did not want to sleep at night. Kaldi reported his
findings to the abbot of the local monastery, who made a drink with the berries and found that it kept him
alert through the long hours of evening prayer. The abbot shared his discovery with the other monks at the
monastery, and knowledge of the energizing berries began to spread.
First of all, there are 3 main types of coffee beans. The names of these coffee beans are Robusta, Liberica
and Arabica. There are also sub-types of these beans. But these are the main bean types. These types of
beans take on different flavors while they are being processed and harvested.
Liberica: Liberica is a low yield type of coffee compared to Arabica and Robusta.
Robusta: This type of coffee, which contains 2.5% more caffeine than other types, has a pretty strong
taste.
Arabica: This coffee bean with low caffeine and a smoother taste is aromatic and delicious. 80% of the
coffee in the world is produced from these types of beans.
One of the oldest, simplest, fastest and cheapest ways to brew coffee is the drip method using a coffee cone and paper filter. Hot water is poured evenly over coffee grounds in a paper filter. With gravity, the brewed coffee drips slowly and directly into a cup or pot. Coffee cones are made of plastic, glass, stainless steel or ceramic. The shape of the cone and their filters will influence the flavours.


Here you can contact me, suggest any improvement/idea or report a bug. Type your email
if expecting reply.
{% csrf_token %}
{{ form.text }}
{% for error in form.errors.text %}
{{ form.captcha }}
{% for error in form.errors.captcha %}
{{ error }}
{% endfor %}


Meek.Specs
1 concern,
55 contexts,
111 specifications
specifications
55 contexts, 111 specifications
When a content admin asks for a non existent page
3 specifications
- Should check the repository
- Should present a blank add content screen
- Should auto populate the url field
When a content admin asks to delete an existing page
3 specifications
- Should delete from storage
- Should remove the route
- Should redirect to the homepage
When a content admin asks to edit an existing page
2 specifications
- Should present a edit content screen
- Should populate the form with the existing data
When a content admin enters page content
3 specifications
- Should save the content
- Should redirect them to the new content
- Should have the route registered
When a content admin enters page content with empty title and content
3 specifications
- Should save the content
- Should redirect them to the new content
- Should have the route registered
When a content admin enters page content without a url
2 specifications
- Should return the form with an error
- Should return an error
When a content admin enters partial page content
3 specifications
- Should save the content
- Should redirect them to the homepage
- Should not have the route registered
When a non content admin asks to manage pages
2 specifications
- Should return a not found view
- Should return a 404 status
When a non content admin enters page content
1 specification
- Should return a 403 result
When asking for a thumbnail it can generate
3 specifications
- Should select a generator
- Should use the correct generator
- Should return a thumbnail
when asking for a thumbnail it cant generate
1 specification
- Should return a 500 error
When asking for all routes
1 specification
- Should return only full routes
When asking for all routes
1 specification
- Should return only full routes
When asking for all routes
1 specification
- Should return only full routes
When asking for all routes
1 specification
- Should return only full routes
When asking for an image
1 specification
When asking for an image thumbnail
4 specifications
- should of used the resizer
- should return the thumbnail
- should name the file properly
- should set a proper content type
When asking for full routes
1 specification
- Should return only full routes
When asking for full routes
1 specification
- Should return only full routes
When asking for full routes
1 specification
- Should return only full routes
When asking for full routes
1 specification
- Should return only full routes
When asking for partial routes
1 specification
- Should return only full routes
When asking for partial routes
1 specification
- Should return only full routes
When asking for partial routes
1 specification
- Should return only full routes
When asking for partial routes
1 specification
- Should return only full routes
When asking to browse image files
1 specification
- Should return the list of images in storage
When asking to browse image files
1 specification
- Should return the list of images in storage
When asking to browse image files
1 specification
- Should return the list of images in storage
When asking to browse image files
1 specification
- Should return the list of images in storage
When asking to browse images
2 specifications
- Should return a list of images
- Should return a callback
When checking for meek content
2 specifications
- Should use the meek storage
- Should say it exists
When checking for non meek content
1 specification
- Should not use the meek storage
When checking the schema of a database that does not have meek setup
1 specification
- Should create the tables for use
When deleting content
2 specifications
- Should not contain the route anymore
- Should trigger changed event
When deleting content
2 specifications
- Should not contain the route anymore
- Should trigger changed event
When deleting content
2 specifications
- Should not contain the route anymore
- Should trigger changed event
When deleting content
2 specifications
- Should not contain the route anymore
- Should trigger changed event
When removing a file
2 specifications
- Should of told the repository to remove the file
- Should return to the browse page
When removing a file
2 specifications
- Should no longer contain the image
- Should trigger changed event
When removing a file
2 specifications
- Should no longer contain the image
- Should trigger changed event
When removing a file
2 specifications
- Should no longer contain the image
- Should trigger changed event
When removing a file
2 specifications
- Should no longer contain the image
- Should trigger changed event
When resizing an image
1 specification
- should be the correct size
When retrieving meek content
2 specifications
- Should use the meek storage
- Should return the content
When retrieving meek manager page
2 specifications
- Should not use the meek storage
- Should return the content
When retrieving non meek content
1 specification
- Should not use the meek storage
When saving a file to storage
3 specifications
- Should allow it to be retrived case insensitive
- Should generate a file id
- Should trigger changed event
When saving a file to storage
3 specifications
- Should allow it to be retrived case insensitive
- Should generate a file id
- Should trigger changed event
When saving a file to storage
3 specifications
- Should allow it to be retrived case insensitive
- Should generate a file id
- Should trigger changed event
When saving a file to storage
3 specifications
- Should allow it to be retrived case insensitive
- Should generate a file id
- Should trigger changed event
When saving content to storage
5 specifications
- Should allow it to be retrived case insensitive
- Should report it as existing case insensitive
- Should save keys case insensitive
- Should return it in route list
- Should trigger changed event
When saving content to storage
5 specifications
- Should allow it to be retrived case insensitive
- Should report it as existing case insensitive
- Should save keys case insensitive
- Should return it in route list
- Should trigger changed event
When saving content to storage
5 specifications
- Should allow it to be retrived case insensitive
- Should report it as existing case insensitive
- Should save keys case insensitive
- Should return it in route list
- Should trigger changed event
When saving content to storage
5 specifications
- Should allow it to be retrived case insensitive
- Should report it as existing case insensitive
- Should save keys case insensitive
- Should return it in route list
- Should trigger changed event
When uploading an image
2 specifications
- Should save the image to storage
- Should return a ckeditor callback


{{ message }}
Hover your mouse over me for a few seconds to see my dynamically bound title!
Iris Service Dashboard
Oh my god


Open modal
Airtime recharge
Phone number
Amount
N
Network service provider
MTN
Airtel
Glo
9 mobile
Confirm


{%extends '_base.html'%} {% block content %}
Payment Listing Edit Payment Print Delete Payment {%if object.status == 'Unallotted'%} Allocate {%endif%}
| Supplier | {{ object.supplier.name }} |
| created | {{ object.created }} |
| total | {{ object.total }} |
| Allotted | {{object.amount_allotted}} |
| description | {{ object.description }} |
| Status | {{object.status}} |
| Invoice | Allocated |
|---|---|
| {{i.invoice.created|date}}/{{i.invoice.id}}/{{i.invoice.supplier.name}}/{{i.invoice.balance}} | {{i.allocated}} |
| {{journal.id}} | {{journal}} |