renamed
by Liz Garcia at 2023-07-11 12:36:58.renamed
by Liz Garcia at 2023-07-11 12:37:26.labeled
by None at 2023-07-11 10:21:24.labeled
by None at 2023-07-11 10:21:24.closed
by None at 2023-07-11 14:21:38.As it turns out, the dataset he submitted was something in the queue from months ago. At some point, his ability to have access to certain collection was revoked. I'm not sure how that happened, but I manually added him to the PS&T collection.
assigned
by James R. Griffin III at 2023-07-11 14:17:06.labeled
by None at 2023-07-10 23:22:21.labeled
by None at 2023-07-10 23:22:21.labeled
by None at 2023-07-11 09:12:41.labeled
by None at 2023-07-11 09:12:41.mentioned
by Shaun Ellis at 2023-07-11 18:34:21.subscribed
by Shaun Ellis at 2023-07-11 18:34:21.Checked again just now since the alert went off a bunch of times but there were no bad ids 👍🏻
The .csv file should work just fine for my metadata purposes. The small Graphic Arts set includes 2 deleted records. As of now, it looks like the others never made it to Alma in the first place. So any and all descriptive fields will be useful.
labeled
by Trey Pendragon at 2023-07-11 19:25:43.labeled
by Trey Pendragon at 2023-07-11 19:26:02.renamed
by Kevin Reiss at 2023-07-11 02:29:09.renamed
by Kevin Reiss at 2023-07-11 02:31:29.Per @mzelesky Alma can do this w/o any mediation.
mentioned
by None at 2023-07-11 14:15:18.subscribed
by None at 2023-07-11 14:15:18.closed
by Kevin Reiss at 2023-07-11 14:15:21.referenced
by Jane Sandberg at 2023-07-11 18:59:57.merged
by Jane Sandberg at 2023-07-11 18:59:57.closed
by Jane Sandberg at 2023-07-11 18:59:57.head_ref_deleted
by Jane Sandberg at 2023-07-11 18:59:58.referenced
by Jane Sandberg at 2023-07-11 20:58:06.merged
by Jane Sandberg at 2023-07-11 20:58:06.closed
by Jane Sandberg at 2023-07-11 20:58:06.head_ref_deleted
by Jane Sandberg at 2023-07-11 20:58:07.referenced
by Jane Sandberg at 2023-07-11 21:26:36.merged
by Jane Sandberg at 2023-07-11 21:26:36.closed
by Jane Sandberg at 2023-07-11 21:26:36.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:26:37.referenced
by Jane Sandberg at 2023-07-11 21:27:57.merged
by Jane Sandberg at 2023-07-11 21:27:57.closed
by Jane Sandberg at 2023-07-11 21:27:57.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:27:58.referenced
by Jane Sandberg at 2023-07-11 21:28:54.merged
by Jane Sandberg at 2023-07-11 21:28:54.closed
by Jane Sandberg at 2023-07-11 21:28:54.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:28:55.referenced
by Jane Sandberg at 2023-07-11 21:32:58.merged
by Jane Sandberg at 2023-07-11 21:32:58.closed
by Jane Sandberg at 2023-07-11 21:32:58.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:32:59.referenced
by Jane Sandberg at 2023-07-11 21:33:45.merged
by Jane Sandberg at 2023-07-11 21:33:45.closed
by Jane Sandberg at 2023-07-11 21:33:45.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:33:46.referenced
by Jane Sandberg at 2023-07-11 21:34:19.merged
by Jane Sandberg at 2023-07-11 21:34:20.closed
by Jane Sandberg at 2023-07-11 21:34:20.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:34:21.labeled
by None at 2023-07-11 21:52:05.labeled
by None at 2023-07-11 21:52:06.labeled
by None at 2023-07-11 01:28:29.Superseded by #422.
closed
by None at 2023-07-11 01:28:32.head_ref_deleted
by None at 2023-07-11 01:28:33.labeled
by None at 2023-07-11 01:48:22.labeled
by None at 2023-07-11 01:48:22.assigned
by None at 2023-07-11 19:26:19.deployed
by None at 2023-07-11 19:18:14.referenced
by Liz Garcia at 2023-07-11 19:27:52.merged
by Liz Garcia at 2023-07-11 19:27:52.closed
by Liz Garcia at 2023-07-11 19:27:53.head_ref_deleted
by Liz Garcia at 2023-07-11 19:27:54.closed
by Liz Garcia at 2023-07-11 19:27:54.deployed
by None at 2023-07-11 19:49:33.referenced
by Liz Garcia at 2023-07-11 19:55:35.merged
by Liz Garcia at 2023-07-11 19:55:36.closed
by Liz Garcia at 2023-07-11 19:55:36.head_ref_deleted
by Liz Garcia at 2023-07-11 19:55:37.closed
by Liz Garcia at 2023-07-11 19:55:37.coverage: 95.385% (-0.02%) from 95.402% when pulling 705143f6bb4c0d3bcb6d54d0614dd100c98de4f0 on dependabot/npmandyarn/semver-6.3.1 into 2f93aab2f55cbf135ac9055fa629c23b5bf0d73c on main.
labeled
by None at 2023-07-11 00:46:10.labeled
by None at 2023-07-11 00:46:10.referenced
by Jane Sandberg at 2023-07-11 21:36:48.merged
by Jane Sandberg at 2023-07-11 21:36:48.closed
by Jane Sandberg at 2023-07-11 21:36:48.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:36:49.referenced
by Jane Sandberg at 2023-07-11 21:37:36.merged
by Jane Sandberg at 2023-07-11 21:37:36.closed
by Jane Sandberg at 2023-07-11 21:37:36.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:37:37.closed
by Jane Sandberg at 2023-07-11 21:37:38.referenced
by Jane Sandberg at 2023-07-11 21:39:12.merged
by Jane Sandberg at 2023-07-11 21:39:12.closed
by Jane Sandberg at 2023-07-11 21:39:12.head_ref_deleted
by Jane Sandberg at 2023-07-11 21:39:13.closed
by Kate Lynch at 2023-07-11 13:57:44.unassigned
by Kate Lynch at 2023-07-11 14:05:06.head_ref_force_pushed
by James R. Griffin III at 2023-07-11 18:28:18.labeled
by None at 2023-07-11 16:35:47.labeled
by None at 2023-07-11 16:35:47.referenced
by Bess Sadler at 2023-07-11 18:42:06.merged
by Bess Sadler at 2023-07-11 18:42:06.closed
by Bess Sadler at 2023-07-11 18:42:06.head_ref_deleted
by Bess Sadler at 2023-07-11 18:42:07.ready_for_review
by Kate Lynch at 2023-07-11 18:10:38.referenced
by Bess Sadler at 2023-07-11 18:49:59.merged
by Bess Sadler at 2023-07-11 18:49:59.closed
by Bess Sadler at 2023-07-11 18:49:59.head_ref_deleted
by Bess Sadler at 2023-07-11 18:50:00.closed
by Bess Sadler at 2023-07-11 18:50:01.head_ref_force_pushed
by None at 2023-07-11 18:56:25.referenced
by Bess Sadler at 2023-07-11 19:14:05.merged
by Bess Sadler at 2023-07-11 19:14:05.closed
by Bess Sadler at 2023-07-11 19:14:05.head_ref_deleted
by Bess Sadler at 2023-07-11 19:14:06.referenced
by Bess Sadler at 2023-07-11 19:24:01.merged
by Bess Sadler at 2023-07-11 19:24:01.closed
by Bess Sadler at 2023-07-11 19:24:01.head_ref_deleted
by Bess Sadler at 2023-07-11 19:24:02.referenced
by James R. Griffin III at 2023-07-11 21:45:33.merged
by James R. Griffin III at 2023-07-11 21:45:33.closed
by James R. Griffin III at 2023-07-11 21:45:33.head_ref_deleted
by James R. Griffin III at 2023-07-11 21:45:34.referenced
by Hector Correa at 2023-07-11 23:41:36.merged
by Hector Correa at 2023-07-11 23:41:36.closed
by Hector Correa at 2023-07-11 23:41:36.head_ref_deleted
by Hector Correa at 2023-07-11 23:41:37.review_dismissed
by Hector Correa at 2023-07-11 23:42:40.All three Solr machines in staging were rebooted (for an unrelated issue) and the error no longer shows on the lib-solr-staging4
dashboard which confirms our suspicion that the error was not longer relevant but somehow it was still in memory.
closed
by Hector Correa at 2023-07-11 18:39:34.referenced
by Bess Sadler at 2023-07-11 12:53:56.merged
by Bess Sadler at 2023-07-11 12:53:56.closed
by Bess Sadler at 2023-07-11 12:53:56.head_ref_deleted
by Bess Sadler at 2023-07-11 12:53:57.head_ref_force_pushed
by Francis Kayiwa at 2023-07-11 14:32:50.mentioned
by None at 2023-07-11 22:51:43.subscribed
by None at 2023-07-11 22:51:43.referenced
by Trey Pendragon at 2023-07-10 23:46:15.merged
by Trey Pendragon at 2023-07-10 23:46:15.closed
by Trey Pendragon at 2023-07-10 23:46:15.head_ref_deleted
by Trey Pendragon at 2023-07-10 23:46:16.referenced
by Trey Pendragon at 2023-07-10 23:46:55.merged
by Trey Pendragon at 2023-07-10 23:46:55.closed
by Trey Pendragon at 2023-07-10 23:46:55.head_ref_deleted
by Trey Pendragon at 2023-07-10 23:46:57.referenced
by Trey Pendragon at 2023-07-10 23:47:15.merged
by Trey Pendragon at 2023-07-10 23:47:15.closed
by Trey Pendragon at 2023-07-10 23:47:15.head_ref_deleted
by Trey Pendragon at 2023-07-10 23:47:16.referenced
by Trey Pendragon at 2023-07-10 23:47:38.merged
by Trey Pendragon at 2023-07-10 23:47:39.closed
by Trey Pendragon at 2023-07-10 23:47:39.head_ref_deleted
by Trey Pendragon at 2023-07-10 23:47:40.referenced
by Trey Pendragon at 2023-07-10 23:47:57.merged
by Trey Pendragon at 2023-07-10 23:47:57.closed
by Trey Pendragon at 2023-07-10 23:47:57.head_ref_deleted
by Trey Pendragon at 2023-07-10 23:47:58.Superseded by #1272.
closed
by None at 2023-07-10 23:48:10.head_ref_deleted
by None at 2023-07-10 23:48:12.@dependabot rebase
Superseded by #1275.
mentioned
by Dependabot at 2023-07-10 23:48:34.closed
by None at 2023-07-10 23:49:27.head_ref_deleted
by None at 2023-07-10 23:49:29.labeled
by None at 2023-07-10 23:48:01.labeled
by None at 2023-07-10 23:48:01.referenced
by Trey Pendragon at 2023-07-11 00:02:27.merged
by Trey Pendragon at 2023-07-11 00:02:27.closed
by Trey Pendragon at 2023-07-11 00:02:27.head_ref_deleted
by Trey Pendragon at 2023-07-11 00:02:28.labeled
by None at 2023-07-10 23:48:08.labeled
by None at 2023-07-10 23:48:08.referenced
by Trey Pendragon at 2023-07-11 00:02:48.merged
by Trey Pendragon at 2023-07-11 00:02:48.closed
by Trey Pendragon at 2023-07-11 00:02:48.head_ref_deleted
by Trey Pendragon at 2023-07-11 00:02:49.labeled
by None at 2023-07-10 23:48:22.labeled
by None at 2023-07-10 23:48:22.referenced
by Trey Pendragon at 2023-07-11 00:03:26.merged
by Trey Pendragon at 2023-07-11 00:03:26.closed
by Trey Pendragon at 2023-07-11 00:03:27.head_ref_deleted
by Trey Pendragon at 2023-07-11 00:03:28.labeled
by None at 2023-07-10 23:49:24.labeled
by None at 2023-07-10 23:49:24.referenced
by Trey Pendragon at 2023-07-11 00:03:45.merged
by Trey Pendragon at 2023-07-11 00:03:45.closed
by Trey Pendragon at 2023-07-11 00:03:45.head_ref_deleted
by Trey Pendragon at 2023-07-11 00:03:46.@dependabot rebase
mentioned
by Dependabot at 2023-07-10 23:46:33.head_ref_force_pushed
by None at 2023-07-10 23:48:14.referenced
by Trey Pendragon at 2023-07-11 00:04:27.merged
by Trey Pendragon at 2023-07-11 00:04:27.closed
by Trey Pendragon at 2023-07-11 00:04:27.head_ref_deleted
by Trey Pendragon at 2023-07-11 00:04:28.closed
by Trey Pendragon at 2023-07-11 00:05:51.@dependabot rebase
Superseded by #1276.
mentioned
by Dependabot at 2023-07-11 00:04:43.closed
by None at 2023-07-11 00:06:16.head_ref_deleted
by None at 2023-07-11 00:06:17.@dependabot rebase
labeled
by None at 2023-07-10 23:48:08.labeled
by None at 2023-07-10 23:48:08.mentioned
by Dependabot at 2023-07-11 00:03:09.head_ref_force_pushed
by None at 2023-07-11 00:04:12.head_ref_force_pushed
by None at 2023-07-11 00:04:48.referenced
by Trey Pendragon at 2023-07-11 18:07:05.merged
by Trey Pendragon at 2023-07-11 18:07:05.closed
by Trey Pendragon at 2023-07-11 18:07:05.head_ref_deleted
by Trey Pendragon at 2023-07-11 18:07:06.This is real nice, just needs rebased.
deployed
by None at 2023-07-10 23:50:48.head_ref_force_pushed
by Trey Pendragon at 2023-07-11 18:10:08.referenced
by Eliot Jordan at 2023-07-11 18:32:24.merged
by Eliot Jordan at 2023-07-11 18:32:24.closed
by Eliot Jordan at 2023-07-11 18:32:24.head_ref_deleted
by Eliot Jordan at 2023-07-11 18:32:25.@dependabot rebase
labeled
by None at 2023-07-11 00:06:13.labeled
by None at 2023-07-11 00:06:13.mentioned
by Dependabot at 2023-07-11 18:07:17.head_ref_force_pushed
by None at 2023-07-11 18:09:00.referenced
by Trey Pendragon at 2023-07-11 19:04:29.merged
by Trey Pendragon at 2023-07-11 19:04:29.closed
by Trey Pendragon at 2023-07-11 19:04:30.head_ref_deleted
by Trey Pendragon at 2023-07-11 19:04:31.closed
by Shaun Ellis at 2023-07-11 19:32:34.Here are some mockups I created from our DLS stand-up discussion yesterday. Thoughts? @faithc what do you think? (click the image to see an enlarged version)
Option A:
Option B:
Option C:
Option D:
Oops, the indent on "Diaries" in Option A is too far. Imagine it lined up with "Biographical".
Added commit for the green bars. It looks like this now:
mentioned
by None at 2023-07-11 18:43:51.subscribed
by None at 2023-07-11 18:43:51.head_ref_force_pushed
by Trey Pendragon at 2023-07-11 19:54:00.https://github.com/pulibrary/pulfalight/tree/1237-content-warning-scope makes scopecontent inherit down (and fixes inheritance for all the notes we defined.) I'm blocked on the content warning special behavior portion of this ticket until I have an example where a parent has a content warning a component has a scopecontent but no content warning. @faithc @ccleeton ?
We want to treat scopecontent notes with the Content Warning header as special for the purpose of inheritance. Content warnings inherit down always.
Lower levels can have their own content warnings, but can't remove a parent's content warning.
I'm not sure this is true; what you mean by "Lower levels can have their own content warnings, but can't remove a parent's content warning." A warning at a lower level should supersede a parent warning. For example, there could be a collection-level warning noting the existence of harmful content and a note at a lower level with explicit information about particular materials, if that makes sense. For example, the collection-level warning for TC040 is superseded by the note at TC040_c00001.
@faithc What we had talked about was if a TC040 had a "Content Warning", and TC040c00001 had a "Scope & Contents" note, then TC040c00001 should have a "Scope & Contents" as well as a "Content Warning", and there's no way to make it so it doesn't.
I'm also hearing we can't find an example where the parent has a content warning and the child has a scope & content w/ no content warning, though.
Ok, right, yes.
And I can't think of an example off the top of my head where this is true.
We talked about this more:
scopecontent
should NOT inherit down, but scopecontent
notes with the Content Warning
header should.
assigned
by Trey Pendragon at 2023-07-11 18:05:30.mentioned
by None at 2023-07-11 19:01:51.subscribed
by None at 2023-07-11 19:01:51.mentioned
by Christa Cleeton at 2023-07-11 19:01:51.subscribed
by Christa Cleeton at 2023-07-11 19:01:51.labeled
by Trey Pendragon at 2023-07-11 19:02:04.mentioned
by None at 2023-07-11 19:47:06.subscribed
by None at 2023-07-11 19:47:06.unlabeled
by Trey Pendragon at 2023-07-11 20:08:49.referenced
by Trey Pendragon at 2023-07-11 21:54:15.referenced
by Trey Pendragon at 2023-07-11 21:55:06.referenced
by Trey Pendragon at 2023-07-11 21:56:05.head_ref_force_pushed
by Trey Pendragon at 2023-07-11 18:02:19.head_ref_force_pushed
by Trey Pendragon at 2023-07-11 18:14:06.referenced
by Trey Pendragon at 2023-07-11 21:52:50.merged
by Trey Pendragon at 2023-07-11 21:52:50.closed
by Trey Pendragon at 2023-07-11 21:52:50.head_ref_deleted
by Trey Pendragon at 2023-07-11 21:52:51.assigned
by Trey Pendragon at 2023-07-11 16:18:29.referenced
by Trey Pendragon at 2023-07-11 17:57:10.referenced
by Trey Pendragon at 2023-07-11 18:02:18.referenced
by Trey Pendragon at 2023-07-11 18:14:05.closed
by Trey Pendragon at 2023-07-11 21:52:52.referenced
by Trey Pendragon at 2023-07-12 00:21:44.merged
by Trey Pendragon at 2023-07-12 00:21:44.closed
by Trey Pendragon at 2023-07-12 00:21:44.head_ref_deleted
by Trey Pendragon at 2023-07-12 00:21:45.assigned
by None at 2023-07-11 19:03:20.referenced
by None at 2023-07-12 00:04:48.closed
by Trey Pendragon at 2023-07-12 00:21:45.labeled
by None at 2023-07-11 11:42:15.labeled
by None at 2023-07-11 11:42:15.labeled
by None at 2023-07-11 11:51:39.labeled
by None at 2023-07-11 11:51:39.head_ref_force_pushed
by None at 2023-07-11 19:23:19.referenced
by Eliot Jordan at 2023-07-11 19:23:41.merged
by Eliot Jordan at 2023-07-11 19:23:41.closed
by Eliot Jordan at 2023-07-11 19:23:41.head_ref_deleted
by Eliot Jordan at 2023-07-11 19:23:44.referenced
by Eliot Jordan at 2023-07-11 20:52:49.merged
by Eliot Jordan at 2023-07-11 20:52:50.closed
by Eliot Jordan at 2023-07-11 20:52:50.


You need to enable JavaScript to run this game.
Detail information about fighter
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Health:
Attack:
Defense:
Start game


|
| Value |
Description |
Notes |
|
| 01 |
Proprietary |
A publisher or retailer’s proprietary code list as specified in <PriceCodeTypeName> which identifies particular codes with
particular price points, price tiers or bands
|
| 02 |
Finnish Pocket Book price code |
Price Code scheme for Finnish Pocket Books (Pokkareiden hintaryhmä). Price codes expressed as letters A–J in <PriceCode> |
| 03 |
Finnish Miki Book price code |
Price Code scheme for Finnish Miki Books (Miki-kirjojen hintaryhmä). Price codes expressed as an integer 1–n in <PriceCode> |
|


Just below here you can see the the outputs of the Lightbox server. These are continuously updated from the server and show the live output of the LED strips or spots. On the left of each output is a stack of layers. Each of these layers can be set to a specific color and opacity. The server software then mixes the layers into a mixed output color.
Start your own transition by clicking on any of the layers on the outputs. From there you can select the target color, opacity and the transition duration. When you then apply your transition, it will (soon) appear on the output.
Late November 2011, we at Frack decided to do something more than just decorate a Christmas tree with some lights and call it a day. We envisioned an interactive internet-enabled illumination experience. To that end, we decorated a tree with five RGB LED-strips that changed color as people tweeted messages with colors (words and codes). The strips would change color, a webcam would capture the image of the tree and display this on a website, with the tweets superimposed. We dubbed it Twitterboom (this is Dutch for Twitter tree) and three weeks later it was reality.
The results of this project were visible for the duration of the Christmas season in the public library of Leeuwarden (just accross the street from our hackerspace), and of course on the internet. Highlights are mentions on Tweakers.net, Hackerspaces.nl and the blog of the then-New Media Coordinator of the aforementioned library.
All code and documentation is available on GitHub.
/api
as application/json
;/api
;/api/outputs
.


Copyright © 2021 Virtual Houston ARTCC. All rights reserved.
All information on this website is for flight simulation use only and is not to be used for real world navigation or flight. This site is not affiliated with ICAO, the FAA, the actual Houston ARTCC, or any other real world aerospace entity.


The following table will display sample UDEL MIS Major Schedule:
| Class Schedule | |||
|---|---|---|---|
| Course Name | Course Number | Professor | Grade | Fall 2017 |
| ACCT 207 | Accounting I | Langdon, Geoff | A |
| BUAD 301 | Introduction to Marketing | Herzenstein, Michal | B |
| CISC 181 | Introduction to Computer Science II | Christopher Rasmussen | A- |
| ENWC 201 | Wildlife Conservation and Ecology | McCarthy PhD, Kyle Patrick | B+ |
| MISY 262 | Fundamentals of Business Analytics | Berkow, Kathryn Sharpe | A |
| Spring 2018 | |||
| MISY 330 | Database Design & Implem. | Mark Serva | Progress* |
| MISY 350 | Business Information Systems | Harry Wang | |
| ACCT 208 | Introduction to Mangerial accounting | Debra Dragone | |
| BUAD 309 | Organizational Behavior | Derron Bishop | |
| FINC 311 | Principles of Finance | Christopher Lynch | |
| Progress* means currently taking |


A STREETCAR NAMED DESIRE (1951) A Film Review Copyright Dragan Antulov 2000
People, as well as institutions, often become victims of their own triumphs. World of cinema doesn't lack such examples. Many artists suffer because the rest of their, otherwise good, career gets unfairly compared with their single and often accidental masterpiece. Great movies often get so praised only to have their reputation declining when they fail to meet big expectations created by overzealous critics and film scholars. In may ways, this phenomenon occurred with A STREETCAR NAMED DESIRE, powerful "Oscar"-awarded 1951 drama, directed by Elia Kazan. Half a century after its premiere the original power of the film declined, being diluted with numerous parodies and homages (the latest being Almodovar's TODO SOBRE MI MADRE), and many talents associated with this film slid into relative obscurity, not being able to repeat its success.
The film is an adaptation of the Pulitzer Prize winning 1947 stage play by Tennessee Williams. Plot is set in the French Quarter of New Orleans where Blanche DuBois (played by Vivien Leigh), small time schoolteacher and daughter of once wealthy land-owning family from Mississippi, comes to calm her nerves, stressed after the loss of family property. At least, this is the story told to her sister Stella (played by Kim Hunter) who seems to be happily married to Stanley Kowalski (played by Marlon Brando) brutish, uneducated working class Polish American. Blanche, posing as refined aristocrat, simply can't stand ape-like Stanley who, in return, can't stand ageing southern beauty that brought discomfort to his harmonious marriage. Friction between the two rises as times go by, and intensifies with Stella's pregnancy, Blanche's seduction of Stanley's shy and mild-mannered best friend Harold "Mitch" Mitchell (played by Karl Malden). When Stanley discovers some unflattering details of Blanche's past the conflict would reach its violent climax.
A STREETCAR NAMED DESIRE is often viewed as one of the most important milestones in the history of American cinema. Based on the powerful play, but also a very controversial in its time, this film introduced some topics that used to be taboo in Old Hollywood - female sexuality, nymphomania, domestic violence and, finally, rape. Even after being thoroughly reviewed by censors (who did everything to tame the raw and shocking original, including removal of all references to homosexuality), A STREETCAR NAMED DESIRE was a film quite shocking for its time. Director Elia Kazan, known for the groundbreaking character of his socially conscious films like GENTLEMAN'S AGREEMENT, also used this film as an opportunity to comment on the social conflicts in post-WW2 America, when the romantic visions of American rural and WASPish past clashed with down-to-earth reality of industrial, urbanised and multicultural present.
This film wasn't groundbreaking just in the reality it presented; it was also groundbreaking in the way it presented such reality. Kazan was fortunate to master the play on the stage and twice fortunate to bring most of the original stage cast for the film adaptation. Among them excelled the actors who had embraced the new Method style of acting, so popularised by Kazan in his films. The best known was, of course, Marlon Brando. When we look into his first major film role, the intensity of emotions displayed and raw strength of performance seems earth shattering in comparison with everything Hollywood had to offer before. For the newer generations, A STREETCAR NAMED DESIRE is an excellent opportunity to see young Brando, quite different from the roles he played in last few decades. His role of Stanley Kowalski was for many years considered the best in his entire career, until, of course, Don Vito Corleone in Coppola's GODFATHER changed all parameters. In this film Brando doesn't just show a very complex character; he also revolutionises the way male sexuality is displayed on screen. His biceps's, lustful looks and tendency to have bare chests explain why Brando happened to be one of the first major female heartthrobs of 1950s America - something almost inconceivable today, when we picture as nothing more than overweight eccentric caricature of himself. Brando was also fortunate to have some of his stage partners back on screen. Kim Hunter is marvel to watch, as a woman caught between conflicting loyalties, troubled by her social obligations and obvious and very primordial lust she feels for her husband. Unfortunately, she didn't manage to build equally impressive career on her "Oscar"-awarded triumph. Karl Malden, another member of the original cast, again proves his excellent qualities of character actor in the role in the role of deceived, shy but still most likeable character; his performance was also awarded with "Oscar".
But the most memorable (and most parodied) performance of them all belongs to Vivien Leigh. Her role of Blanche dubious was often portrayed as a parody itself; the character of aristocratic Southern belle strikes certain resemblance to Vivien's Leigh best known incarnation in GONE WITH THE WIND. But this resemblance are only superficial - Blanche DuBois is much more complex, troubled and fragile, and her once all-conquering beauty and irresistible charm is rapidly becoming the thing of a past. Leigh made a terrific job of detailing her gradual, but inevitable decline into madness. This "Oscar"-awarded performance becomes even more devastatingly powerful when we take into account that the real life of an Vivien Leigh in later years in many ways resembled the life of the character.
Thanks to the excellent text and superb actors, Kazan managed to create a very good film, but he still failed to turn it into genuine and everlasting masterpiece. Kazan worked very hard to improve the stage production with the benefits of the new medium, but A STREETCAR NAMED DESIRE still looks less like an original film, and more like a stage play adapted for screen. Almost entire film takes place in very limited space, and the scenes that show the outside seem to come out of the picture. With a film almost exclusively concentrated on the four major characters, anyone else is distracting, even the boy whose brief appearance would trigger some well-hidden impulses in Blanche. The musical soundtrack by Alex North, although revolutionary for Hollywood through its use of jazz, isn't particularly impressive. Finally, modern day viewers simply couldn't avoid noticing some rather awkward treatment of some grim subjects due to the different censorship standards.
RATING: 8/10 (+++)
Review written on May 19th 2000
Dragan Antulov a.k.a. Drax Fido: 2:381/100 E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>Filmske recenzije na hrvatskom/Movie Reviews in Croatian http://film.purger.com
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@import controllers.licencefinder.ChooseOgelController
@import util._
@import views.html.common.page._
@import views.html.common.form._
@import views.html.frontendComponents.formRadioWithDetailPanel
@import models.view.licencefinder.OgelView
@this(standardPage: standardPage)
@(form: Form[_], sessionId: String, controlCode: String, countryName: String, ogelViews: List[OgelView])
@chosenOgelFormField = @{"chosenOgel"}
@ogelLabel(alreadyRegistered: Boolean, ogelName: String) = {
@if(alreadyRegistered) {
You have already registered for this OGEL:
}
Open General Export Licence (@ogelName)
}
@standardPage("Open general export licences available", Some(heading("Open general export licences available")), showBackLink=true){
@errorSummary(form)
}{
@if(!ogelViews.isEmpty) {
Your goods cannot be exported via an open licence. We will need to know more about the goods you want to export.
Please log in to SPIRE (opens in a new tab) to continue.
} }


The generated Tutoron will scan this <code> block, look for Java classes, and provide an insight about that API member. Use this as a starting point!
<code>
import java.util.ArrayList;


Torque 2D - Configuration Datablocks
When creating a large scale project, any repetitive task you can cut out of your work flow is a good thing. Thanks to config datablocks and behaviors, the setting up of multiple similar or identical objects is very simple. Config datablocks are basically saved sets of parameters that you can apply to any object in the Level Builder. They are handy because when creating a great deal of identical objects, you only need to write their parameters once and then reference those parameters (via a config datablock) as many times as you need. This tutorial is going to go through the creation of a config datablock and show you how they can be used to make repetitive tasks much less time-consuming.
The first thing we are going to do is create a config datablock and then later access it using the Level Builder. We are going to create this config datablock in our TutorialBase project, since it is a default project all T2D owners will have access to. So, our first step is to navigate to our games/TutorialBase/game/gameScripts folder. In this folder we have a file called datablocks.cs. This file will contain our config datablock. Config datablocks can be created in any part of our code, however datablocks created in this script will automatically be loaded saving you the trouble of creating a separate file that has to be manually executed. Inside this file we are going to create a very simple config datablock that is just going to show you how they work. Add this code to your datablocks.cs file:
|
datablock t2dSceneObjectDatablock(TestConfig) { Layer = 1; Size = "100 100"; }; |
This code just specifies a config datablock with the name TestConfig that sets the object's layer to 1 and its size to 100 along both the X and Y.
Now that we have our config datablock created, open up Torque 2D. Next, if your T2D project is not already open, navigate to File-> Open Project and open your TutorialBase project. Once it's loaded we should begin testing of our datablock. First grab the static sprite of the GarageGames logo and drag it onto our scene. Next, we will want to assign our sprite a config datablock.
Config datablocks can be set in the Scripting rollout in the Edit tab of the Level Builder.
|
|
As you can see to the left, when you expand this dropdown, we can see the datablock we created in the last step. Select this datablock so it appears in the window of the collapsed list.
|
Now, not every object you drag into the scene will have this config datablock assigned to it. Drag in another GarageGames logo, this time without assigning the config datablock.
|
|
You should immediately notice the difference between your object that has a config datablock assigned to it, and your object that does not have one assigned to it. However, let's say that you assigned an object with a datablock, but didn't want all of the parameters assigned by the datablock to be applied to your object. Luckily, this is no problem since the parameters of a config datablock can be overridden once they are set. So if you now manually set the object's size, it will override the config datablock's size. |
Config datablocks are a very efficient way to assign parameters to multiple objects while only having to write them in code once. They are also flexible enough that you can override them if you need. Using config datablocks well can save you a lot of time and coding by eliminating repetition; allowing programmers to give focus to other essentials.


Post-16 statistics team
Email<EMAIL_ADDRESS>Telephone: Sally Marshall 0114 274 2317
National Statistics
Statistics about young people who are not in education, employment or training (NEET).
PDF , 715KB , 10 pages
MS Excel Spreadsheet , 49.6KB
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MS Excel Spreadsheet , 56.8KB
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MS Excel Spreadsheet , 61.6KB
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PDF , 280KB , 7 pages
Plain text , 1.99KB
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The data comes from:
The publication includes extra tables with NEET estimates from the LFS:
Labour market status refers to people who are one of the following:
Email<EMAIL_ADDRESS>Telephone: Sally Marshall 0114 274 2317
Published: 24 November 2016
From: Department for Education
Part of: Statistics: NEET and participation


---
layout: page
---
Every experiment in a paper is trying to answer a different part of the overarching research question. Let's figure out what the research question is and how it is being answered. On a separate sheet of paper or in the margins of the article, write down the overall research question(s) that the paper is trying to answer. Here are a few tips: Each experiment in the paper is an attempt to answer part of the research question. On a separate sheet of paper or in the margins of the article, write a “Since, If, Then” statement for each experiment. A “Since, If, Then” statement is a way of formulating the hypothesis. It helps you discover… Here's how to do it: Some descriptive studies might not have clearly testable “If” statements because they may be exploratory. In those cases the "If, Then" part of the hypothesis may be more like the following: Example 1 follow-up text add another example here Example 2 - follow-up Example 3 These examples show a few different successful approaches to cartooning or making a diagram of future experiments.. Take a look at the examples and click on the "+" icons to learn why each one was successful. Now you are ready to elucidate the hypothesis! When you finish, use this checklist to double-check your work:
E: Elucidate the Hypothesis
Elucidate the Hypothesis for Each Experiment
Identify the Overall Research Question
Determine the Type of Study for Each Experiment
Identify the Hypothesis for Each Experiment
What makes a successful cartoon or diagram?
Real student cartoons and diagrams
Title of example 1
Credit / background info for example
Title of example 2
Credit / background info for example
Title of example 3
Credit / background info for example
Give it a try!
Tips & Strategies
Ready?


-
-
A Three-Level Extension for Fast and Robust Overlapping Schwarz (FROSch)
Preconditioners with Reduced Dimensional Coarse Space.
Alexander Heinlein, Axel Klawonn, Oliver Rheinbach, and Friederike
Röver.
Technical report, August 2021.
Accepted for publication in the proceedings of the DD26 conference.
Preprint
https://tu-freiberg.de/sites/default/files/media/fakultaet-fuer-mathematik-und-informatik-fakultaet-1-9277/prep/2021-02.pdf.
[ bib ]


All references are to the volume number (Roman numerals) and page number (Arabic numerals) or where appropriate, to verse numbers, of the Pali Text Society’s editions of the Tipitaka and its commentaries. A reference with an asterisk indicates words spoken by someone other than the Buddha.
For the abbreviations, A. refers to Anguttara Nikaya; Cp. Cariyapitaka; Cp-a. Cariyapitaka Atthakatha; D. Digha Nikaya; Dhp. Dhammapada; Dhp-a. Dhammapada Atthakatha; It. Ittivuttaka; Ja. Jataka; M. Majjhima Nikaya; Mil. Milindapanha; Pmj. Paramatthajotika; S. Samyutta Nikaya, Sn. Sutta Nipata; Th. Theragatha, Thi. Therigatha; Ud. Udana; Vin. Vinaya; Vism. Visuddhimagga.
Angry. 89, 102, 108, 116, 117, 238, 251
Abused. 53, 109, 129, 225, 251, 307
Critical. 79, 97, 221, 227, 253, 275
Downcast. 127, 130, 131, 172, 343
Envious. 208
Judgmental. 28, 79, 95, 97, 306, 327
Gossiping. 63
Impatient. 101, 202, 203, 218, 266
Quarrelsome. 45, 109, 157, 217, 220, 238, 245
Sick. 84, 147, 149, 190, 212, 295, 345
Unforgiving. 30
Aggregates, the five. 320, 333, 334, 344, 357
Buddha. 10, 26, 86, 138, 288, 290
Compassion. 42, 128, 191, 199, 207, 225, 255, 264, 346, 355,
Consideration. 214
Contentment. 196, 236, 269, 359
Desire and craving. 40, 54, 103, 118, 267, 273
Dhamma. 12, 31, 60, 76, 84, 98, 119, 143, 176, 183, 203, 222, 224, 254, 289, 336,
Doing good. 15, 23, 58, 64, 70, 130, 260, 287
Equanimity. 124, 184, 191, 244, 251, 311, 332
Faith. 3, 27, 107, 123, 165, 173, 305, 362
Family. 39, 47, 48, 90, 100, 150, 200
Forgiveness. 30
Friends and friendship. 18, 24, 87, 92, 132, 249, 349, 360
Generosity. 13, 25, 34, 51, 126, 140, 210, 233, 302
Gratitude. 23, 287, 293, 303, 335
Happiness. 17, 40, 43, 70, 198, 269, 357
Health. 78, 205, 212, 269, 318, 345
Helpfulness. 19, 198, 287, 314
Learning Dhamma. 158, 186, 197, 211, 239, 294, 348
Livelihood. 17, 94, 96, 156, 177
Love. 31, 38, 42, 113, 114, 128, 182, 191, 207, 210, 214, 219, 226, 264, 281, 284, 298, 306, 312, 323, 329, 346,
Mind. 35, 36, 49, 55, 67, 80, 85, 91, 100
Mindfulness. 267, 279, 280, 296, 308, 311, 317, 329, 336, 346
Modesty. 193
Nirvana. 77, 81, 137, 144, 171, 228, 263, 269, 272, 304
Noble Eightfold Path. 9, 55, 77, 81, 178, 206, 228, 316, 333
Nursing the sick. 115, 200, 231, 297
Oneself and others. 19, 65, 79, 199, 232, 263, 314, 334, 346
Pleasure of the senses. 40, 43, 54, 103, 267
Refuges, the three. 7, 27, 75, 83, 351
Self-honesty. 110
Sympathetic joy. 124, 184, 191, 124, 244, 332
Teachers and disciples. 88, 164, 337
Teaching the Dhamma. 28, 79, 83, 150, 192, 198, 204, 211, 222, 224, 231, 281
Wealth. 17, 50, 59, 62, 68, 94, 129, 312,
The Buddha’s compassion. 86, 115, 145, 198, 310
The Buddha’s concern for others. 204, 322
The Buddha’s fearlessness. 292
The Buddha’s forbearance. 53
The Buddha’s love. 114
The Buddha’s magnanimity. 140, 229
The Buddha’s pre-eminence. 8, 26, 138
The Buddha’s reliability. 10, 99
The Buddha as the embodiment of the Dhamma. 98, 254
The Buddha as the giver of comfort. 84, 115, 234, 307, 333
The Buddha as a good physician. 115, 136, 147, 242, 274,
The Buddha as a peacemaker. 183
The Buddha as a safe refuge. 7, 75, 215
The Buddha as a skillful teacher. 88, 111, 141, 143, 274, 290
The Buddha as a good friend. 333, 215
On being in the Buddha’s presence. 98
On worshipping the Buddha. 256, 325
The nature of the mind. 36, 49, 67, 80, 85, 91, 100, 149
The importance of mental development. 35, 49, 56, 86, 256, 315
Mindfulness of breathing. 37, 46, 57
Guarding the sense doors. 43, 52
Stilling thoughts. 41
The five Hindrances. 44, 54, 66, 110, 247, 263
Sloth and laziness. 74, 104, 107, 122
Restlessness and worry. 172, 202
The Recollections. 121
Recollection of the Buddha, Dhamma and Sangha. 176, 215
Recollection of virtue. 130, 139
Recollection of generosity. 34, 51, 126
Recollection of friendship. 87, 132, 133
Recollection of death. 205
Recollection of peace. 137, 144, 180
Loving-kindness Meditation. 182, 184, 191, 199, 225, 306, 327
The effects of Loving-kindness Meditation. 219, 244, 264, 278
Overcoming the five Hindrances. 247
The Jhanas. 250, 268, 326, 339
The four Foundations of Mindfulness. 263, 279, 280, 296, 308, 317


The Impact of Technology on Education
Technology has greatly impacted the way in which schools teach and students learn. Technology
has
made it possible for students to learn at their own pace, rather than feeling pressured to keep
up
with their classmates. It has also made it possible for students to attend classes remotely,
from
anywhere in the world, and for teachers to reach out to students anywhere in the world.
Technology
has also made it possible for students to learn at their own pace, rather than feeling pressured
to
keep up with their classmates. It has also made it possible for students to attend classes
remotely,
from anywhere in the world, and for teachers to reach out to students anywhere in the world.
More articles
The Benefits of Long-Term Investing
Long-term investing is a strategy that involves buying and holding securities for a long period
of
time. The goal of long-term investing is to build wealth gradually over an extended period of
time
through the buying and holding of a portfolio of stocks, bonds, mutual funds, and other
investment
vehicles. Long-term investing is a strategy that involves buying and holding securities for a
long
period of time. The goal of long-term investing is to build wealth gradually over an extended
period of time through the buying and holding of a portfolio of stocks, bonds, mutual funds, and
other investment vehicles.
More articles
The Importance of Conservation: Protecting Our Natural Heritage
Our planet is home to a diverse range of ecosystems and species that contribute to the overall
health and balance of the Earth. However, human activities and environmental challenges pose
significant threats to our natural heritage. This article explores the importance of
conservation
and why protecting and preserving our natural resources is crucial for the well-being of both
present and future generations.
More articles


Hadoop streaming allows one to create and run Map/Reduce jobs with any executable or script as the mapper/reducer
Mapper and reducer are executables that read the input from stdin, and emit output to std out. Utility will create a Map/Reduce job, submit job to appropriate cluster, monitor the progress of the job until it completes
Specify executable for mappers, each mapper launches executable as a seperate process when the mapper is initialized. Mapper task runs, converts inputs into lines and feeds lines to stdin of process.
Prefix of line up to first tab character is the key and the rest of the line will be the value.
Each executable is a seperate process, converts key value pairs into lines and feeds the line oriented outputs from the stdout of the process.
Distributed file system desgined to run on commodity hardware. Provides high throughput access, POSIX requirements for streaming.
Consists of NameNode that manages the file system Metadata and Datanode that store actual data
NameNode: maintains file system tree and the meta data for all the files and directories present in the system. Two files “Namespace image” and the “Edit Log” are used to store metadata information.
DataNode: slaves which reside on each machine in a cluster and provide the actual storage.
Mapper maps input key/value pairs to a set of intermediate key/value pairs.
Transform input records into intermediate records, a given input pair may map to zero or many output pairs. Map reduce spawns zero or many output pairs.
Output pairs do.
Hadoop uses google protobuff to specify data format
goal_num = mapred.map.tasks
split_size = max(mapred.min.split.size, block_size)
split_num = total_size / split_size
compute_map_num = min(split_num, max(default_num, goal_num))
YARN cluster is composed of host machines. Tuning consists primarily pof defining containers on your worker hosts: container is a rectangular graph consisting of memory and vcores.
Hosts: provide memory and CPU resources Virtual Core (vcore): Usage share of a host CPU Application: yarn client that is made up of one or more tasks. A task uses all of the available resources in the container. A task is unable to consume more that its designated allocation. In other terms, I think an application consumes within the confines of the container.
https://www.cloudera.com/documentation/enterprise/5-4-x/topics/cdh_ig_yarn_tuning.html


OKQR is a Simple, Innovative and Affordable QR Marketing Platform for Small and Medium Enterprises.
Using OKQR Mobile platform, generate a customized QR Code for your business within minutes and associate details like:
Print your QR on Business Cards, Posters, Pamphlets, Signages, Hoardings and any other marketing material to reach out to your customers.

Interested in trying it out for your Business?


Symbol Index for "Intention Type"
Symbol Index for diagram
"Intention Type"
Activity Qualifier Type (Class)
Activity Type (Class)
classifier (Association)
Contact Method (Class)
DC/Describing (Generalization Node)
Descriptive Category (Class)
Incident Type (Class)
Intention (Class)
Intention Type (Class)
Level (Class)
Property Qualifier Type (Class)
Reason For Abandoning (Class)
Reason For Rejection (Class)
Reason Not Required (Class)
Resource Type (Class)
State Type (Class)
Subject Characteristic Type (Class)


Although it is possible to have multiple players on a single page, this is discouraged as it might be confusing for users ("which player am I on?"). Note that only the first player can be operated with keystrokes. Use playlists instead.
For additional demos see the Index of Able Player Examples.


Court quashes plea to release ACP Agordzo
The District Court has dismissed embattled senior police officer, ACP Benjamin Agordzo’s lawyers’ attempt to have him released using legal technicalities.
The lawyers, led by Martin Kpebu asked the court to allow their client to go home after state prosecutors had withdrawn the charge sheet on which he was being held.
Their application was objected to by the prosecutor, ASP Sylvester Asare who described the argument by the defense as not founded on law.
ASP Asare further argued that the substitution of the charge sheet was only to consolidate the two cases having to do with the alleged coup plot and not an acquittal.
The Magistrate Eleanor Kakra Bans Botwe in her ruling said conventions and law do not show that prosecution has committed any wrong. The decision paved the way for a new charge sheet to be presented and the cases consolidated.
The accused will still face the charges of treason felony and abetment to commit crime, namely treason felony.
They were further remanded in police and military custody till the 4th of December.
High Court denies accused persons bail
Last week, the High Court dismissed a bail application by the seven accused persons facing trial for their alleged plot to topple the government.
According to the Judge, Justice George Buadi, none of the accused persons had been detained beyond two months and their arrest and detention are not arbitrary or unlawful.
He further added that the accused persons have the capacity to interfere with investigations if released.
The Judge cited an example of how Junior Officers managed to stage a coup in the country.
The nine persons, three civilians, and six military personnel are facing charges of treason felony and conspiracy to commit treason felony.
Key interrogation
The former Director of the Transformation Office of the Ghana Police Service, ACP Dr. Benjamin Agordzo is also facing trial over the alleged plot.
The BNI and National Security operations confirmed that former Executive Secretary at the office of the IGP, Superintendent Peter Toobu Lanchene has also been invited for questioning.
Supt. Toobu, who is the NDC parliamentary candidate for Wa West Constituency in the Upper West Region also worked in the office of former IGP, David Asante-Apeatu.
COP Nathan Kofi Boakye, has also been interrogated in connection with the development.


TABLE OF INTERACTIONS WITH
OXYCODONE
See also: agonist opioid analgesics
See also: step lll opioid analgesics
See also: opioids
See also: sedative medications
See also: substrates at risk of CYP3A4
From the French ANSM drug interactions document of September 2016, p. 170
OXYCODONE RxNorm: 7804 ATC: N02AA05 |
FLUCONAZOLE RxNorm: 4450 ATC: D01AC15 J02AC01 |
Increase of the undesirable effects, especially respiratory ones, of the oxycodone due to decrease of its metabolism by the fluconazole |
Not recommended Clinical monitoring and possible adjustment of the dosage of the oxycodone during the treatment with the fluconazole and after it is stopped. |
OXYCODONE RxNorm: 7804 ATC: N02AA05 |
ENZYME INDUCERS CLASS CODE: N03-J05-001 |
Decrease of the plasma concentrations of the oxycodone due to increase of its metabolism by the inducer |
Not recommended Possible adjustment of the dosage of the oxycodone |
OXYCODONE RxNorm: 7804 ATC: N02AA05 |
STRONG INHIBITORS OF CYP3A4 CLASS CODE: J02-J05 |
Increase of the undesirable effects, especially respiratory ones, of the oxycodone due to decrease of its metabolism by the inhibitor |
Not recommended Clinical monitoring and possible adjustment of the dosage of the oxycodone during the treatment with the inhibitorand after it is stopped |
OXYCODONE RxNorm: 7804 ATC: N02AA05 |
ST JOHN'S WORT Codes found under St John's Wort Extract RxNorm: 258326 ATC: not found |
Decrease of the plasma concentrations of the oxycodone due to increase of its metabolism by the St Johns wort |
Not recommended Possible adjustment of the dosage of the oxycodone |


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We got dogs!
- reinvent cross-platform interfaces
- incentivize impactful initiatives
- redefine wireless e-commerce
- drive innovative infomediaries
- leverage synergistic synergies
- facilitate ubiquitous e-services
- utilize collaborative ROI
- engineer e-business mindshare
- iterate enterprise content
- transform one-to-one convergence
- visualize one-to-one schemas
- whiteboard magnetic functionalities
- disintermediate bricks-and-clicks ROI
- architect best-of-breed applications
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| Date | Source - Destination | Time of Ride | Friends | Status |
|---|


This is a map I made using ArcMap 10.3.1 for my graduate project in GIS I at Northeastern Illinois University in the fall of 2015. It is a project where I was looking for colleges that met certain criteria. Those criteria were:
I volunteer for the Chicago Chapter of the American Red Cross and they asked me to make them a map to show if there was any correlation between fire responses and whether income played a part in American Red Cross assistance being given to those families.


{% extends 'base.html' %} {% block content %}
Well done {{ username }}, you've won!
Your final score is {{ score }} and it took you {{ time }} seconds to complete the game
Better luck next time {{ username }}
Your final score is {{ score }} and you played the game for {{ time }} seconds
No players on leaderboard yet...
Rank
Players
Score
Time
{{ player.rank }}
{{ player.username }}
{{ player.score }}
{{ list_of_times[loop.index - 1] }}
The leaderboard will only display in landscape orientation on mobile phones


{% extends "bloginclude/base.html" %} {% block main %} Show blog posts filtered by country {% endblock %}


1995 BMW 540i 6 speed
This was my daily driver, and man was it an awesome car.
The 4.0 liter V8 moved.
Mods: (not much... the 540 is pretty hot bone stock!)
- 17" rims and low profile tires (235/45ZR-17)
- Dinan DME chip: No speed limiter, better mileage. (before ~18mpg, now ~22mpg)
- Dinan Induction tube (together with the chip, ~307hp)
- Dinan Thrust arm bushings.
Current images: (Click on each for a larger view)
Some images of it prior to rims/tires.


Click to play
(W, A, S, D or arrow keys = Move, SPACE = Jump, MOUSE = Look around, F to interact, right mouse for swing right, ect)
Settings
Quit


{{ define "main" }}
Released on {{ dateFormat "Monday, Jan 2, 2006" $latest.published_at }}
{{ $latest.body | markdownify }}Here you can find the latest version of OpenGeoSys. But be warned: although this version was successfully tested by the continuous integration system it may be unstable or incomplete...
{{ dateFormat "Monday, Jan 2, 2006" $head_commit.commit.author.date }} by {{ $head_commit.commit.author.name }}:
{{ $head_commit.commit.message }} GitHub Commit Link
{{ range first 1 (where $head_statuses ".context" "continuous-integration/jenkins/branch") }} Jenkins Build with Downloads (Select the Artifacts-tab!) {{ end }}
We also provide binaries for OpenGeoSys-5!


Hi there! My name is Theo, and I'm a senior at the University of California, Berkeley studying Computer Science and Business Administration. I'm passionate about creating and building impactful products. Check out my experiences and projects or shoot me an email!
GPA: 3.59
GPA: 4.96
Immortal Studios is a media-based startup creating original fantasy content. At Immortal Studios, I spearheaded strategy for their latest Kickstarter campaign, reaching a $10,000 goal within 3 hours and ultimately ending with $35,000 from 1150 total backers. To complement the campaign, I also analyzed social, web, and original poll data to identify target market segments, develop pricing tiers, and prioritize product features to attract backers. Over the summer, I also ideated a high level product roadmap and implemented a fan engagement strategy.
At Informatica, I worked on implementing Informatica's SQL column expressions as native expressions within the Apache Spark codebase to minimize unnecessary string conversions and maximize performance. In doing so, expression performance improved by an average of 25% when testing on 40 million row datasets, with some expressions seeing up to a 60% increase. I also created a proof of concept on how to integrate the Envoy proxy into Informatica's existing microservices infrastructure.
Wrote the backend of a webapp that patches faulty Zoom audio for recorded sessions by using a local, non-corrupted recording. Won 1st place overall, Best Use of Google Cloud, and Best Entrepreneurial Hack at Citrus Hacks 2020
Designed modular front-end and back-end components for a smart key rack that detected the presence of keys on a sensor and updated a website in real time.
Designed and created a full stack web application that parses and itemizes grocery receipts using the Google Vision API. Helps users efficiently split a grocery bill after shopping in a group.
I enjoy playing basketball, watching sports, listening to music, and exploring the outdoors. I'm a big fan of watching basketball and baseball, specifically the Lakers and Angels.


W
RecFn
RecFunction
RecFunctionCons
RecTail
WillProve
Document
Word
RandomWords
WordExpressions
WordExpressions
fol
weight
Tangle
AddCritic
BaseEvolver
weightedHead
Chain
where
Assertion
width
Interval
withIsle
IterDynSys
wordSetStream
Structures
wordStream
Structures
words
Structures
wtdDyn
FiniteDistributionLearnerExtras


Select Programme
Programme
B. Tech.
M. Tech.
M. Sc.
M. A.
Ph. d.
Prep
Select Department
Branch
Biotechnology
Chemical Engg.
Chemical Sc. & Tech.
Civil Engg.
Computer Sc. & Engg.
Design
Electronics & Comm. Engg.
Electronics & Elct. Engg.
Engg. Physics
Integrated Chemistry
Mathematics & Computing
Mechanical Engg.
Chemistry
Physics
Mathematics
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Energy
Environment
Humanities & Social Sc.
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Select Course
Course
CS101
CS102
Submit


Pulsed NMR system
The pulsed NMR system is ready.
Now you can run the control program.
More details about this application can be found at this link.
The pulsed NMR system is ready.
Now you can run the control program.
More details about this application can be found at this link.


FOWZAN CHICKEN HOUSE
🏡
📱
All days of the week, 8AM to 9PM
📧
Email us your queries
Fowzan Chicken House is a recent established first class customer service stop and home delivery of fresh meat products. It was launched in May 2021 by a young coligue who has had for a long time worked to provide home delivery services of supplying of fresh meat and meat products Halal certified due to the stady rise in demand our team is comprised of experienced and dedicated staff that is talented in engaging with customers, and will go to the extra mile to ensure customer satisfaction. We pride ourselves in providing quality and on time service. Ower meat come ready made ready for sorting so as to minimize clients’ in-house operational challenges by delivering processed products.
Copyright © 2021, || Fowzan Chicken House || designed by Keith James


Brian Carela's Biography Site
Hello, my name is Brian Carela. I'm currently enrolled in the Code Bridge course at
Per Scholas.
I recently made the decision to stop attending classes at
City College
and stop working at
Tavern on the Green
so that I can learn to become a successful web developer. On my spare time, I like to compete in
tournaments
for a video game called Super Smash Bros for Wii U. I hope to someday create a small website to schedule all local tournaments in NYC, with
brackets
available, and any other relevant information for each event.


Registration:
To be able to register in the system, for favvor it follows the step that we show him next.
{% block stylesheets %} {% endblock stylesheets %}
To be able to register in the system, for favvor it follows the step that we show him next.
Step 1: enter user's name and a mail been worth.
The password must contain a minimum of 8 characters, it must have uppercase, lowercase, numbers and a special character. Enter a password and then type it again for confirmation.
If their user name and countersign have been verified correctly, of he/she would see appear in the superior part of the form written in red letters the following User created-please login. such and like it is shown in the following image
If their countersign doesn't fulfill the established requirements of security for the system, write a new countersign again.
To consent to the system it should enter their user name and the previously created countersign.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Perferendis, aliquam placeat? At, dolorum reprehenderit fugiat soluta aliquid voluptas molestias similique quas hic itaque ab officia, tenetur quisquam ex, aut iste minus recusandae quidem? Temporibus cupiditate expedita repellat sequi eligendi rem incidunt pariatur voluptatem.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Perferendis, aliquam placeat? At, dolorum reprehenderit fugiat soluta aliquid voluptas molestias similique quas hic itaque ab officia, tenetur quisquam ex, aut iste minus recusandae quidem? Temporibus cupiditate expedita repellat sequi eligendi rem incidunt pariatur voluptatem.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Perferendis, aliquam placeat? At, dolorum reprehenderit fugiat soluta aliquid voluptas molestias similique quas hic itaque ab officia, tenetur quisquam ex, aut iste minus recusandae quidem? Temporibus cupiditate expedita repellat sequi eligendi rem incidunt pariatur voluptatem.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Perferendis, aliquam placeat? At, dolorum reprehenderit fugiat soluta aliquid voluptas molestias similique quas hic itaque ab officia, tenetur quisquam ex, aut iste minus recusandae quidem? Temporibus cupiditate expedita repellat sequi eligendi rem incidunt pariatur voluptatem.
to add an element to the list, press the button green color
after pressing the button of adding him he/she will appear in screen following form, enter a name a description and select the branch to which belongs the element that goes to add to the list, then press the long button of dark blue color "submit"
To see the list of profiles that they have been added, it should be positioned in the lash of profiles.
To carry out changes in an element of the list of profiles, the button of dark blue color that has the image of a pencil pulse.
To eliminate an element of the list of profiles, the button red color that has an image of a basket of garbage pulse.
To add a competition to the list it should be before registered one or but you profile. If there are already profiles the green button that is pointed out in the image pulses.
After pressing the button to add, a form is shown that should fill, enter a description, select an option in each one of the lists desplegables it is necessary that all the boxes are full, then press the button of dark blue color "Submit"
notice: in the text box where he/she is asked to enter a description, it should place a different to those that already exist.
To return behind he/she makes click in the superior part, in the subindex that is shown in the following image.
To see the list of competences, it must be located in the competences tab, in the example image it shows us a red rectangle that encloses the correct tab, a text box is also indicated with a blue date to facilitate the search of elements and a green arrow that allows us to update the list of competences
To edit one or but data of the list of competitions, make click in the button of clear blue color with the image of a pencil which is indicated with an arrow of blue color.
To delete one or but data of the list of competitions, make click in the button of red color that has the image of a basket of garbage which is indicated with an arrow of blue color.


Output Modules Editor is used to create, edit and delete aerender Output Modules, that Launcher could use. If you have any custom created After Effects output modules, you must add them here in order to use them with Launcher.


Use most than one thumbnails for control many pdf with only one pdf viewer
You can use most of one thumbnails in one template, but il you want use only one pdf viewer and command for all of them, you have to use a GroupControl.
Values accepted are "1" to "5". "1" is the less quality. It's enough most of time.
The library pdfjs use cache. So change quality after pdf loaded is not significant.
Default value is 1.
Allow thumbnails remove
Allow to user to remove a thumbnail by use red times.
Allow to thumbnail container to receive/accept pdfjsItem from an other pdfjs-thumbnails.
Note that control too if you allow to re-order thumbnail in container.
For control drag and drop, you can use dragMode and allowDrop
fitSize set height if layout is set to 'horizontal' (ThumbnailLayout.HORIZONTAL) fitSize set width if layout is set to 'vertical' (ThumbnailLayout.VERTICAL)
Default value is 100 for fitSize and ThumbnailLayout.HORIZONTAL for layout.
On over thumbnail a preview (biggest) appear. This feature is controlled by previewDelaypreviewHeight and previewQuality. {{previewDelay}} ms {{previewHeight}} px 12345


 Isolation Facilities
Total Beds
Max capacity
Total Available
A2. ICU Facility
Total Beds Available
Currently Occupied
A3. Ventilators
Available (Total)
Allocated for Covid-19
A4. Ambulance
Available (Total)
Allocated for Covid-19
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
B. Medical Staff Details
DOctors
Total Doctors
Chest Physicians
Anesthesiologists
Nurses
Additional DOctor FIeld
Additional Field
Additional Field
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
C. Inventory Details
masks
N-95 Masks
Surgical Masks
TPE Masks
Other Masks
ppe kits
Hazmat Suits
Face Shield
Additional Inventory
Additional field
Additional field
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.


I am currently working as an Assistant Professor in the marketing department of Indian Institute of Management, Ahmedabad. I complted my PhD in Marketing (Modeling) from the Nanyang Technological University, Singapore in 2015. I teach masters and doctoral level courses in the area of Marketing. I am interested in understanding individual level decision making process of consumers in online and offline environments. My research broadly relates to a number of emerging research domains such as electronic word-of-mouth, recommendation systems and consumer analytics.


Each dot represents a plant in the greenhouse. Hover over the dot to see the plant's name. You can group them by native continent, their room in the greenhouse or randomly. Track a single plant as it moves by double clicking it or see which plants are medicinal by clicking "show medicinal."
One of the main goals for the new greenhouse website was to increase interdisciplinary interest in the greenhouse by highlighting where plants are from and how have been and still are used. The idea behind this visualization was to show how plants in the greenhouse are connected in more ways than apparent visiting in person. My hope was to show how plants that may not be next to each other in the phyicsal space may be from the same place or have similar uses.
This visualization is not complete in a couple of ways. Most importantly, it is showing only a small subset of the greenhouse collection. With the full dataset the potential for interesting patterns would be much higher. Additionlly, the geographic breakdown of continent shows basically nothing. As the plant dataset continues to be coded to smaller geographies the visualization has again more opportunitys to show interesting relationships between plants.
This visualization could greatly beneift from some aesthetic changes to improve ease of use and readability. Spaceing was a constant battle in creating this and I eventually decided that it was probably not worth the fight when the complete dataset will completely throw off any work that I put in now.


Software engineer with 2 years of experience developing both native Android and hybrid mobile applications. Experience in all phases of the mobile software development lifecycle and Agile methodology. I love problem solving and am always looking for a new challenge.
Developed a hybrid mobile application that pulled in company news articles from an existing content management system. Devised a local storage system to allow articles to be read offline. Designed and implemented modular app components for use in other mobile applications. Performed and presented research on market trends and best practices in hybrid mobile app and responsive web design.
Provided Tier 1 technical support to university faculty, staff and students, in the computer labs and at the help desk in person, over the phone, and via email. Assisted users in accessing the university’s various systems and services such as the Blackboard LMS, and perform troubleshooting. Trained new consultants how to perform these tasks and ensured duties were performed as assigned.


| 1 |
Sr. Data Scientist Brilliant Infotech Remote•Temporarily Remote Up to $150,000 a year |
Brilliant Infotech Remote•Temporarily Remote |
f7e3a741e5126bf9&vjs |
| 2 |
Data Scientist / Sr. Data Scientist JVR Tech LLC Remote•Remote $110,000 - $130,000 a year |
JVR Tech LLC Remote•Remote |
f169f03d2c673c23&vjs |
| 3 |
Data Scientist (Spring 2021 Co-Op) Motorola Solutions4.1 Champaign, IL |
Motorola Solutions4.1 Champaign, IL |
ca07733ba9258a13&fccid |
| 4 |
new Basketball Statistician Performance Analytica LLC Remote•Remote $10 - $15 an hour |
Performance Analytica LLC Remote•Remote |
b5049ad504fb3bf5&vjs |
| 5 |
Senior Statistician TAYS, Inc Woodlawn, MD 21207+1 location $50 - $80 an hour |
TAYS, Inc Woodlawn, MD 21207+1 location |
a3fafa9102db47f8&vjs |
| 6 |
Mentors (Independent Contractor) - Artificial Intelligence,... Udacity4.3 Texas City, TX |
Udacity4.3 Texas City, TX |
415f104ed6ee40cf&fccid |
| 7 |
Clinical Data Scientist – Cardiology (Chicago, IL) Philips4.0 Remote•Remote |
Philips4.0 Remote•Remote |
913babce6c2647b6&fccid |
| 8 |
Data Scientist III Expedia.com3.9 Seattle, WA 98119+1 location (Queen Anne area) |
Expedia.com3.9 Seattle, WA 98119+1 location (Queen Anne area) |
0f3dc79cdb55c54e&fccid |
| 9 |
Senior Bayesian Statistician Procter & Gamble4.2 Mason, OH 45040 |
Procter & Gamble4.2 Mason, OH 45040 |
e553a8ef6c403162&fccid |
| 10 |
Data Scientist Cyient3.6 Phoenix, AZ 85001 (Central City area)•Temporarily Remote |
Cyient3.6 Phoenix, AZ 85001 (Central City area)•Temporarily Remote |
r&ad |
| 11 |
new Data Scientist Franklin IQ Arlington, VA 22205 (Dominion Hills area)•Remote $50 - $70 an hour |
Franklin IQ Arlington, VA 22205 (Dominion Hills area)•Remote |
r&ad |
| 12 |
new Data Scientist Iver Solutions, LLC Remote•Remote $60 - $65 an hour |
Iver Solutions, LLC Remote•Remote |
ecbc7e77429bd6f5&vjs |
| 13 |
Senior Data Scientist - Ads Optimization Indeed4.3 Sunnyvale, CA 94086 (Washington area) $169,000 - $207,000 a year |
Indeed4.3 Sunnyvale, CA 94086 (Washington area) |
r&ad |
| 14 |
new Data Scientist SalesPad, LLC3.8 Grand Rapids, MI 49546 |
SalesPad, LLC3.8 Grand Rapids, MI 49546 |
r&ad |
| 15 |
Data Scientist Panjiva4.0 Cambridge, MA |
Panjiva4.0 Cambridge, MA |
f2e6970194f0e27b&fccid |
| 16 |
new data scientist -Remote Starbucks4.0 Seattle, WA 98134 (Industrial District area)•Remote |
Starbucks4.0 Seattle, WA 98134 (Industrial District area)•Remote |
6a20a653f53a1d5b&fccid |
| 17 |
new Data Science Consultant Digital Dhara Santa Clara, CA 95054 $50 - $55 an hour |
Digital Dhara Santa Clara, CA 95054 |
b957326e0d359f41&vjs |
| 18 |
new Data Scientist/Engineer with Azure experience!!! Remote Excellent Pro Remote•Remote $55 - $60 an hour |
Excellent Pro Remote•Remote |
439108cc7734022a&vjs |
| 19 |
Junior Data Scientist PIÑATA SCIENCES Boston, MA |
PIÑATA SCIENCES Boston, MA |
7ee6e4997258f140&fccid |
| 20 |
new Data Scientist Elexis Ventures Remote $140,000 - $160,000 a year |
Elexis Ventures Remote |
0c5e32c2e99c0c48&vjs |
| 21 |
new Data Scientist National Fair Housing Alliance Remote•Remote $120,000 - $140,000 a year |
National Fair Housing Alliance Remote•Remote |
2d61bb7c84aa3de4&vjs |
| 22 |
Data Scientist Tekshapers Inc Rahway, NJ•Temporarily Remote $60 - $65 an hour |
Tekshapers Inc Rahway, NJ•Temporarily Remote |
b6b1f54be69ebff2&vjs |
| 23 |
new Data Scientist Elutions3.3 Delafield, WI+1 location |
Elutions3.3 Delafield, WI+1 location |
6b040f5965b84d9b&fccid |
| 24 |
Data Scientist Audiohook Remote•Remote $50,000 - $80,000 a year |
Audiohook Remote•Remote |
e3b0efab828d68c9&fccid |
| 25 |
new Data Scientist Data Patterns Dallas, TX•Temporarily Remote $62,318 - $146,449 a year |
Data Patterns Dallas, TX•Temporarily Remote |
50413463311e5256&vjs |
| 26 |
new Data Scientist Tech True Up Broomfield, CO 80021 $44 - $60 an hour |
Tech True Up Broomfield, CO 80021 |
c7bdf7e1030b99c6&vjs |
| 27 |
Junior Data Scientist Edison Energy3.8 Boston, MA 02109 (Central area) |
Edison Energy3.8 Boston, MA 02109 (Central area) |
560ec341ac11d201&fccid |
| 28 |
Data Scientist (Analyst) Edge & Node Remote•Remote |
Edge & Node Remote•Remote |
b6d48aed188e26f5&fccid |
| 29 |
Data Scientist Invicro4.0 Boston, MA 02114 (Back Bay-Beacon Hill area) |
Invicro4.0 Boston, MA 02114 (Back Bay-Beacon Hill area) |
c9c908e183a00381&fccid |
| 30 |
new Data Scientist - Must be in Pittsburgh Webbula4.7 Wexford, PA 15090•Temporarily Remote $90,000 - $110,000 a year |
Webbula4.7 Wexford, PA 15090•Temporarily Remote |
cca6ea3fd3a26617&vjs |
| 31 |
Data Scientist Tripoint Solutions Alexandria, VA 22311+1 location (Alexandria West End area)•Remote $90,000 - $95,000 a year |
Tripoint Solutions Alexandria, VA 22311+1 location (Alexandria West End area)•Remote |
f3058b4c5664c277&vjs |
| 32 |
new Data Scientist FocusKPI Inc. Mountain View, CA |
FocusKPI Inc. Mountain View, CA |
c5ac257f4883c3cc&fccid |
| 33 |
new Junior Data Scientist PIN Business Network3.6 Englewood, CO 80111 $50,000 - $60,000 a year |
PIN Business Network3.6 Englewood, CO 80111 |
d2a2ef2421c6266d&fccid |
| 34 |
new Data Scientist United Solutions LLC Rockville, MD 20850 (Town Center area) $50,000 - $120,000 a year |
United Solutions LLC Rockville, MD 20850 (Town Center area) |
68f3d2518a95a64f&vjs |
| 35 |
Data Scientist Geospark Analytics United States•Remote |
Geospark Analytics United States•Remote |
2126b32a59363e5f&fccid |
| 36 |
new Data Scientist MetLife3.8 Cleveland, OH 44143•Remote |
MetLife3.8 Cleveland, OH 44143•Remote |
8566283650d978ab&fccid |
| 37 |
new Data Scientist - Location: McLean or Washington DC Ernst & Young4.0 McLean, VA 22102 |
Ernst & Young4.0 McLean, VA 22102 |
d6bb5ba521f373af&fccid |
| 38 |
Data Scientist Gyfted5.0 Remote•Remote |
Gyfted5.0 Remote•Remote |
99d52e62e4673487&vjs |
| 39 |
new Data Scientist, Modeling & Simulation Team Blueprint Power Remote•Remote $78,795 - $182,856 a year |
Blueprint Power Remote•Remote |
9e303b18a47d5fc9&vjs |
| 40 |
Senior Data Scientist - Moderation Engineering Indeed4.3 Chicago, IL+5 locations•Remote $130,000 - $156,000 a year |
Indeed4.3 Chicago, IL+5 locations•Remote |
38017b4c45b95d2f&fccid |
| 41 |
new Associate Data Scientist Spectrum Brands3.5 Bentonville, AR 72712+1 location |
Spectrum Brands3.5 Bentonville, AR 72712+1 location |
50182d649232656f&fccid |
| 42 |
Junior Data Scientist, ML R&D LockerDome, Inc. Remote•Remote |
LockerDome, Inc. Remote•Remote |
f520fca7843c3c7c&fccid |
| 43 |
Data Scientist Valkyrie Intelligence Austin, TX 78705 (West University area)•Temporarily Remote $85,000 - $115,000 a year |
Valkyrie Intelligence Austin, TX 78705 (West University area)•Temporarily Remote |
339607bfa2090225&vjs |
| 44 |
Data Scientist Lyndra Therapeutics Watertown, MA 02472 |
Lyndra Therapeutics Watertown, MA 02472 |
10c7a97b465adad0&fccid |
| 45 |
Data Scientist Brilliant Infotech Ewing, NJ•Temporarily Remote $111,000 - $122,000 a year |
Brilliant Infotech Ewing, NJ•Temporarily Remote |
f7e3a741e5126bf9&vjs |
| 46 |
new Data Scientist - Data Tool Developer BizTek People, Inc.4.8 Portland, OR From $50 an hour |
BizTek People, Inc.4.8 Portland, OR |
r&ad |
| 47 |
Data Scientist - Genomic Prediction Belcan3.6 Chesterfield, MO 63017 |
Belcan3.6 Chesterfield, MO 63017 |
r&ad |
| 48 |
Data Scientist - Intermediate Envision LLC3.3 United States |
Envision LLC3.3 United States |
r&ad |
| 49 |
Data Scientist SquadMethod Remote•Remote |
SquadMethod Remote•Remote |
f31d7f602ce448b8&vjs |
| 50 |
Data Scientist Analysis Group, Inc.4.2 Boston, MA 02199 (Back Bay area) |
Analysis Group, Inc.4.2 Boston, MA 02199 (Back Bay area) |
aadfb9da2aaef2c3&fccid |
| 51 |
Data Scientist Pivotal Software4.0 Washington, DC•Remote |
Pivotal Software4.0 Washington, DC•Remote |
5f711e212efeb994&fccid |
| 52 |
new Data Scientist Betworks Llc Providence, RI 02903+1 location (Downtown area) |
Betworks Llc Providence, RI 02903+1 location (Downtown area) |
22f847c60776aa2c&fccid |
| 53 |
new Data Scientist Millennium Software Solutions3.2 West Kingston, RI•Remote $70 - $75 an hour |
Millennium Software Solutions3.2 West Kingston, RI•Remote |
707e48bc755788c4&vjs |
| 54 |
Data Scientist (Labs) KAYAK4.3 Boston, MA |
KAYAK4.3 Boston, MA |
10e5aaef20f5bc89&fccid |
| 55 |
Geospatial Data Scientist ConserWater Technologies Remote•Remote $107,000 - $124,000 a year |
ConserWater Technologies Remote•Remote |
832403d5e322f52d&vjs |
| 56 |
Associate Data Scientist Interos, Inc.3.0 Virginia•Remote |
Interos, Inc.3.0 Virginia•Remote |
58313872d1d08027&fccid |
| 57 |
new Data Scientist, Product Analytics Teladoc Health3.0 Mountain View, CA |
Teladoc Health3.0 Mountain View, CA |
5ed96f1ff45a3dad&fccid |
| 58 |
new Data Scientist/Modeler - Remote Based, Teleflora The Wonderful Company LLC3.0 Delano, CA•Remote |
The Wonderful Company LLC3.0 Delano, CA•Remote |
31fedcd6fad49879&fccid |
| 59 |
Data Scientist LendingHome3.2 San Francisco, CA 94108 (Downtown area)•Remote |
LendingHome3.2 San Francisco, CA 94108 (Downtown area)•Remote |
43f18ff33fd798a1&fccid |
| 60 |
Data Scientist Maxiom Ashburn, VA 20147 |
Maxiom Ashburn, VA 20147 |
f600bf244c6e2e78&fccid |
| 61 |
new Data Scientist, Music Analytics Spotify4.3 New York, NY+1 location•Remote |
Spotify4.3 New York, NY+1 location•Remote |
3a0a83d92b534ae7&fccid |
| 62 |
new Data Scientist US Department of Veterans Affairs Remote•Remote $92,143 - $140,000 a year |
US Department of Veterans Affairs Remote•Remote |
75af1364d95adae4&vjs |
| 63 |
new Machine Learning Engineer Ividtek Inc. Remote•Remote $90,000 - $130,000 a year |
Ividtek Inc. Remote•Remote |
ebbcdbb57e5e382c&vjs |
| 64 |
new Associate Data Scientist John Hancock3.9 Boston, MA |
John Hancock3.9 Boston, MA |
241047f55bf4d8a3&fccid |
| 65 |
Data Scientist Constant Contact3.9 Waltham, MA 02451 |
Constant Contact3.9 Waltham, MA 02451 |
a393ad699b0f9f12&fccid |
| 66 |
Data Entry TransPerfect Translations Inc. Remote+1 location•Remote |
TransPerfect Translations Inc. Remote+1 location•Remote |
0281daf694cc3912&fccid |
| 67 |
Data Scientist Walmart3.5 Dallas, TX 75202 (West End Historic District area)•Temporarily Remote From $90,000 a year |
Walmart3.5 Dallas, TX 75202 (West End Historic District area)•Temporarily Remote |
822bc5d9a49270ea&vjs |
| 68 |
new Data Scientist Plymouth Rock Assurance3.7 Woodbridge, NJ 07095 |
Plymouth Rock Assurance3.7 Woodbridge, NJ 07095 |
6cdc230a13514de8&fccid |
| 69 |
Data Scientist Dauntless, Inc. Redmond, WA 98052 (Downtown area)•Temporarily Remote $100,000 - $120,000 a year |
Dauntless, Inc. Redmond, WA 98052 (Downtown area)•Temporarily Remote |
2841b6354d51ff15&vjs |
| 70 |
Associate Data Scientist, Ads Spotify4.3 New York, NY•Remote |
Spotify4.3 New York, NY•Remote |
ba6656ea6a71004d&fccid |
| 71 |
Data Scientist, AI / NLP Happify Health Remote•Remote |
Happify Health Remote•Remote |
89fde06adebe0768&fccid |
| 72 |
Data Scientist Kronologic Austin, TX 78701 (Downtown area)•Temporarily Remote $90,000 - $200,000 a year |
Kronologic Austin, TX 78701 (Downtown area)•Temporarily Remote |
42917ead38f32a45&vjs |
| 73 |
Data Scientist Clara Analytics Remote•Remote From $140,000 a year |
Clara Analytics Remote•Remote |
ac21ca8e91bd02b2&vjs |
| 74 |
Image Data Scientist PureTech Health3.0 Boston, MA |
PureTech Health3.0 Boston, MA |
dbbd17be24f6052a&fccid |
| 75 |
new Data Scientist EveryMundo5.0 Miami, FL 33131 (Downtown area) |
EveryMundo5.0 Miami, FL 33131 (Downtown area) |
debae0c2a98c6fa8&fccid |


Problem 1
Define an indicator variable \(I_i\) as:
Now the number of runs in a sequence of \(n\) coin tosses is given by:
Thus,
\(P(I_i=1)\) is given by : \(P(I_i=1)=p\times q + q \times p\) (heads followed by tails or tails followed by heads)
And hence,
Check: - \(ER_1 = 1\) and that is \(ER_1=1\) - \(P(R_2=1)=p^2 + q^2\) and \(P(R_2=2)=pq+qp=2pq\) thus \(E(R_2)=(p^2+q^2)+4pq = (p+q)^2+2pq = 1+2pq\) which is what \(ER_n\) formula gives us for n=2
Variance Calculation:
To calculate: \(\sigma^2=Var(R_n)\)
\(Var(R_n) = E(R_n^2)-(ER_n)^2\)
So we focus on calculating \(ER_n^2\):
In order to calculate \(EI_iI_j\), we consider following 3 cases:
-
Case 1: \(j-i=1\), then \(P(I_i=1, I_j=1)\) = Probaility that \(i^{th}, (i+1)^{th} \mathrm{and} (i+2)^{th}\) cards are different. For \(i=2\) to \(i={n-1}\) there are \((n-2-1)=n-3\) such terms and \(P(I_i,I_j=1)= pqp+qpq=pq\)
-
Case 2: \(j-i>=2\), then \(P(I_i=1,I_j=1) = P(I_i=1)P(I_j=1)\) , that is these events are independent unless they occur next to each other as in Case 1. and hence \(P(I_i=1,I_j=1)=P(I_i=1)P(I_j=1) = (pq)^2\) and there are \((n-4)\) such ways to choose
Thus, \(ER_n^2 = 1+6pq(n-2)+2\times((n-3)\times (pq)+(n-4)\times(pq)^2)\) Substitute in (skipping/TODO) \(Var(R_n) = ER_n^2-(ER_n)^2\)
Problem 2
\(X = \{\}X_1,X_2 \dots, X_n)\) and \(Y=\sum_{i=1}^{N}c_iX_i\)
To determine : - Distribution of Y
iWe use characteristic functions
Using the characteristic function of a normal RV:
$\phi_X(t) = E[e^{itX}] = e^{-it\mu- \frac{1}{2}\sigma^2t^2} = $
For multivariate case:
$\phi_X(\bf{t}) = E[e^{i\bf{t^T}X}] = e^{-i\bf{t^T}\mu- \frac{1}{2}\bf{t^T}\sum^2 \bf{t}} = $
Now, \(Y=c^TX\) where \(c=[c_1,c_2 \dots c_n]\) (\(Y=\sum_{i=1}^{N}c_iX_i\))
Thus,
and thus comparing with the characteristic function we started with:
\(Y \sim N(c^T\mu, a\sum a^T)\)
TODO: Check again the transposes
Problem 3
TODO


Basic knowledge of MaixPy AI hardware acceleration
Model usage and hardware acceleration principle
Earlier, we learned that a model is a data organization and many parameters, and finally exists in the form of a file such as a file in the format of kmodel
.
And for this model to be used in the MaixPy program, the program must first understand the file format of kmodel
and support the algorithm in the model, so that the input can be output after some split calculation processes according to the description of the model.
Therefore, the key point is to support the algorithms in the model, called operators. In theory, we can use software to implement these operators, and then we can successfully run the model. The physical device that executes the software is the CPU. The network model is very computationally intensive. In addition, what we input is a picture. The picture itself has a huge amount of data. Even the main frequency of K210
and 400MHz
cannot satisfy the smooth calculation model.
Therefore, either upgrade the CPU
, but the cost is too high, or make a dedicated hardware, let this hardware specialize in a specific algorithm, because it does not do general calculations like the CPU
, so the speed will be very fast. , We usually use a dedicated graphics accelerator card called GPU
to accelerate graphics calculations. On the K210
, this dedicated hardware is called KPU
(kendryte proccess unit). The first one is the company name, which is actually the same as other chips. The NPU
does the same thing.
In MaixPy, the code to derive the model has been integrated, and the KPU
is used for calculation acceleration. There is no need to write a lot of code when using it. You only need to call a few functions to quickly run the model.
About KPU
Although KPU can accelerate model calculations, due to various factors such as cost, time, power consumption, volume, heat generation, application field positioning and other factors, its capabilities are not like the powerful NPU
in the professional field, including every type Operator, it can only handle part of it.
KPU implements the hardware acceleration of the four basic operations of convolution, batch normalization, activation, and pooling, but they cannot be used separately and are an integrated acceleration module.
Therefore, inference models on KPU, the following requirements (if you do not need to train and design the model, you do not need to understand it carefully):
- Memory limitations
K210 has 6MB general RAM and 2MB KPU dedicated RAM. The input and output feature maps of the model are stored in 2MB KPU RAM. Weights and other parameters are stored in 6MB general-purpose RAM.
- Which operators can be fully accelerated by KPU?
The following constraints need to be met.
- Feature map size: the input feature map is less than or equal to 320x240 (WxH) while the output feature map is greater than or equal to 4x4 (WxH), and the number of channels is from 1 to 1024.
- Same symmetric paddings (TensorFlow uses asymmetric paddings when stride=2 and the size is even).
- For ordinary Conv2D and DepthwiseConv2D, the convolution kernel is 1x1 or 3x3, and the stride is 1 or 2.
- MaxPool(2x2 or 4x4) and AveragePool(2x2 or 4x4).
- Any element-wise activation function (ReLU, ReLU6, LeakyRelu, Sigmoid...), KPU does not support PReLU.
- Which operators can be partially accelerated by KPU?
- Asymmetric paddings or valid paddings convolution, nncase will add necessary Pad and Crop before and after it.
- Ordinary Conv2D and DepthwiseConv2D, the convolution kernel is 1x1 or 3x3, but stride is not 1 or 2. nncase will decompose it into KPUConv2D and a StridedSlice (may also need Pad).
- MatMul, nncase will replace it with a Pad (to 4x4) + KPUConv2D (1x1 convolution sum) + Crop (to 1x1).
- TransposeConv2D, nncase will replace it with a SpaceToBatch + KPUConv2D + BatchToSpace.
Instructions are from here
Model conversion
As mentioned earlier, a model is actually a set of structure and parameter data. Different software can only recognize models in a specific format. KPU only recognizes models in .kmodel
format. Generally, models trained on computers do not, such as tensorflow
.h5
format or .tflite
format, to be used by KPU
, it must be changed to kmodel
, and use nncase tool to achieve model conversion the goal of
If you need to convert the model, see the introduction in this warehouse for specific usage
kmodel V3 model and V4 model
Due to the code update, two major versions were produced in the process, V3
and V4
, where the V3
model refers to the use of nncase v0.1.0 RC5 The converted model; V4
model refers to nncase v0.2.0 Converted model
There is a certain difference between the two, so now the two are publicly stored, V3
has less code, less memory, and higher efficiency, but it supports fewer operators; V4
supports more operators, but both Realized by software, no hardware acceleration, more memory usage, so each has its own strengths. MaixPy firmware can also choose whether to support V4
.
Use model kmodel in MaixPy
- Load the model in the SD card (TF card)
Put the model on the SD card, then load
import KPU as kpu
m = kpu.load("/sd/test.kmodel")
- Load the model in Flash
Download the model to Flash, then load
import KPU as kpu
model_addr_in_flash = 0x300000
m = kpu.load(model_addr_in_flash)
Here model_addr_in_flash
is the offset address of the model in Flash, and the model can be burned to the corresponding address of Flash through kflash.py or kflash_gui
- Ready to enter
In general, we will use images as input:
- Directly use the data collected by the camera as input:
img = sensor.snapshot()
Here img
can be directly used as input, here need note: After the snapshot
function collects the image, it will put the image data in two places
(1) RGB565
memory block, the image is stored in a memory in the form of RGB565
, which is convenient for image processing functions. Note that the order in the memory is [pixel 1 RGB, pixel 2 RGB...]
(2) RGB888
memory block, the image is stored in another memory in the form of R8G8B8
, note that the order in the memory is [all pixels R, all pixels G, all pixels B]
, which we also call For AI
memory
Among them, the data actually input as KPU is RGB888
area, this is explained in detail in the previous document MaixPy image and common operations chapter
- Read from file, or modified camera image
The image collected directly from the camera will automatically fill the RGB888
area, but when we use image processing functions such as image.resize()
, only RGB565
will be modified, and RGB888
will not be modified, because it needs to modify two memory at the same time It takes a lot of time, and the input of KPU
is RGB888
memory, so when you need to perform KPU
operations, you need to synchronize (refresh) the RGB888
memory block, and use img.pix_to_ai()
to synchronize , Otherwise the modification has no effect on KPU
.
such as:
img = sensor.snapshot()
img = img.resize(240, 240)
img.pix_to_ai()
img = image.Imag("/sd/test.jpg")
img.pix_to_ai()
- Forward running model
Run the model forward, that is, walk the model calculation in the direction from input to output, and get the output value through input:
feature_map = kpu.forward(m, img)
Here we get the feature_map
, which is a feature map. For example, the classification of small balls
and toys
we used earlier, the output feature map is two nodes, each node represents the probability of the corresponding object, we will feature Figure converted to list
object
p_list = feature_map[:]
print(p_list)
You can get a result similar to [0.9, 0.1]
Common problems in the use of KPU
How big a model can KPU load?
C language code running model:
When k210 runs the c code, it can load the model <6MB, depending on the content of the C code.
MaixPy running model:
* When running MaixPy (minimum version), a model of about 4MB can be loaded. If you don’t use the camera and LCD, you can load up to 5MiB of models (because the buffer of the camera and LCD takes up a lot of memory, but the actual application is not very meaningful)
* When running MaixPy (full version), it can load a model of about 2MiB
* In addition, it also supports real-time loading of models from Flash
. In theory, as long as the single-layer memory does not exceed 2MiB, the overall model can be infinitely large, but at the expense of computing speed. For usage, see here. If you are interested in the principle and implementation, you can see here
What should I do if I report an error "memory overflow"?
When this problem occurs, according to the system memory management mentioned earlier, there are generally two possibilities:
- The place where the error is reported has nothing to do with the system heap. It may be caused by insufficient memory in
GC
, but increase the total memory size ofGC
appropriately - Caused by the model being too large. You can try the following solutions in turn:
- Change the firmware of maixpy mini version
- Perform model pruning optimization
- Use the
kpu.load_flash
interface to load the model in real time when running, but the execution efficiency is reduced a bit - If the memory is insufficient and the performance of
kpu.load_flash
cannot be satisfied, then you may need to use C SDK for development.
What should I do if I report an error "load error, only support kmodel v3/v4"?
If this problem occurs, you can try the following solutions:
- If you are loading the model in the Flash, please make sure that the
flash offset
is filled in correctly and that there is no conflict with the address of the maixpy firmware (the address of the model in the Flash is too high, and then when the firmware is programmed into the Flash, the firmware size Exceeded the starting address of the model, causing the model to be destroyed) - If it is
kmodel V4
converted withnncase 0.2.0
, please try to convert withnncase 0.1.0
to generatekmodel V3
I want to select and load different models (for example, press the button to run the target classification, press the button again to run the target detection), how should I write the program?
Because the internal RAM is limited, when you need to switch between different models for kpu.load(address)
, please execute kpu.deinit(k210model)
to release the memory occupied by the previous model, and then load the new model.Time-shared memory


|
Polygon Triangulation
Plane Sweep based Polygon Triangulation
|
Go to the documentation of this file.
8 #ifndef __PLANESWEEPTRIANGULATION_H__
9 #define __PLANESWEEPTRIANGULATION_H__
29 vector<Triangle> output;
38 for (
auto &monotone: monotones) {
40 output.insert(output.end(), temp.begin(), temp.end());
This file contains the implementation of the basic geometric objects such as Vertex,...
This file contains the method to triangulate a monotone polygon.
list< vector< Vertex > > getMonotones(vector< Vertex > input)
Returns the monotones present in the input polygon.
Definition: monotoneSubdivision.h:309
This file contains the algorithm to subdivide the polygon into monotones.
vector< Triangle > monotoneTriangulate(vector< Vertex > input)
This method performs the triangulation of the given monotone.
Definition: monotoneTriangulation.h:151
vector< Triangle > planeSweepTriangulate(vector< Vertex > input)
The wrapper method to monotone triangulate a polygon.
Definition: planeSweepTriangulation.h:28


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4-6
For the soup, heat the butter and olive oil in a large deep pan and add the onions, garlic and thyme. Fry for 20-25 minutes over a medium-low heat, or until softened and golden-brown.
Add the sherry, two thirds of the brandy and the wine and carefully flambé.
When the flames have died out, add the sugar and beef stock to the pan. Bring to the boil, then reduce the heat and simmer for ten minutes.
Season, to taste, with salt and freshly ground black pepper and stir in the balsamic vinegar and the remaining brandy.
Preheat the grill to high.
For the cheese croûtes, grill the baguette slices on one side, then turn, sprinkle with gruyère and grill until golden-brown and bubbling.
For the compote, heat the oil in a pan and add the red onion. Fry for 5-8 minutes, or until just softened but not too browned.
Stir in the sugar, vinegar and lemon juice and season, to taste, with salt and freshly ground black pepper.
For the shallot rings, place the vegetable oil into a deep, heavy-bottomed saucepan and heat until a small cube of bread sizzles and turns golden when dropped into it. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
Place the shallot rings into a bowl with the seasoned flour and mix well to coat the rings.
Carefully place the shallot rings into the hot oil and deep fry for 1-2 minutes, or until golden-brown and crisp. Remove from the oil with a slotted spoon and drain on kitchen paper.
To serve, ladle the soup into serving bowls and top with the cheese croûtes. Top the croûtes with a spoonful of onion compote and a few shallot rings.


--- layout: default ---
Our study examines the information obtained by adding two parasagittal sensors to the standard midsagittal configuration of an EMA observation of lingual articulation. In this work, we present a large and phonetically balanced corpus obtained from an EMA recording session of a single English native speaker reading 1899 sentences from the Harvard and TIMIT corpora. According to a statistical analysis of the diphones produced during the recording session, the motion captured by the parasagittal sensors has a low correlation to the midsagittal sensors in the coronal plane. We perform a geometric analysis of the lateral tongue by the measure of its width and using a proxy of the tongue's curvature that is computed using the Menger curvature. To provide a better understanding of the tongue sensor motion we present dynamic visualizations of all diphones. Finally, we present a summary of the velocity information computed from the tongue sensor information.


Project: Serl
Javascript/OTP, anyone? Here's an attempt to port Erlang/OTP (Open Telecom Protocol) semantics to browser-based ECMAScript.
Project: Demo
To eyeball a very rough demo, serve the repository
directory, then click on the link to tests. Open
the console to see test output. Tweak the code in tests.js
and see how it
reacts.
Project: Versions
v0.0.1 (master) - A documented proof-of-concept, where a single node can spawn multiple procs, and where a proc can recursively send >15,000 messages to another without blowing the stack. An implementation of Erlang-style pattern matching is also demonstrated.
v0.0.2 (develop) - Aiming to simply to go through all the @todos and update the ones which improve DX, such as turning weirdly shaped objects into classes, validating arguments, and renaming things.
Documentation
- Framework documentation is hosted here.
Documentation: Generation
Currently using JSDoc.

Quick start to generating documentation from JSDoc-formatted comments in source files:
$ cd path/to/serl-git-repository
$ npm install --save-dev jsdoc
$ node node_modules/jsdoc/jsdoc.js lib/serl.js -d docs -c node_modules/jsdoc/conf.json -R ./README.md
Current configuration of conf.json
:
{
"plugins": ["plugins/markdown"],
"markdown": {
"tags": [
"description"
]
},
"allowUnknownTags": true
}
.vimrc
line to auto-regenerate documentation (example):
autocmd BufWritePost ~/exercises/serl/* !node
\ ~/exercises/serl/node_modules/jsdoc/jsdoc.js
\ ~/exercises/serl/lib/serl.js
\ -d ~/exercises/serl/docs
\ -c ~/exercises/serl/node_modules/jsdoc/conf.json
\ -R ~/exercises/serl/README.md
Documentation: TODO
Get on JSDoc Slack.
Architecture
Architecture: Priorities
-
Leverage on the maturity of OTP design patterns.
-
If
#itjustworks
in the browser, then we're on our way to using the same framework on the server and client. -
Future possibilities: inter-op with OTP compliant code written in any language and working on any runtime.
-
-
General Erlang/OTP priorities.
-
No shared memory between procs.
-
Let it crash.
-
Asynchronous coding style should allow non/minimally-blocking programs.
- Testing protocol to ensure this for all user code should be established.
-
Users must be reminded to write JavaScript like this.
-
Recursion should not block the stack.
#tailcalls
- Utilities need to be provided to ease writing this sort of code. (See
Serl.recurse/2
for example.)
- Utilities need to be provided to ease writing this sort of code. (See
-
-
Otherwise minimally opinionated.
-
Back to basics. The framework should encourage weak users,and also as well as to allow quick-starts on tiny projects.
-
The library should run out of the box. Building should optional.
-
The library should not require DSLs. Transpilation should be optional. Everything should work in
use strict
. -
Server-side rendering should be optional. When SSR is enabled, de/hydration should be optional.
-
Performance optimisations should generally be optional.
-
Computed properties should be optional.
-
Motivations?
I didn't want to do this. I wanted something like this, but hit a dead-end, and fell back to the approach on this repository.
Backlog
Backlog: First items to implement:
- DONE: `Node` class, which constructs an object based on (erl),
representing one runtime system 'node'
- DONE: `Pid` class, which constructs an object based on the Erlang 'pid'
datatype; remember to specify its toString; maybe specify parsePid as its
inverse
- DONE: `node.spawn/3` method, which returns the pid of a new 'lightweight
process' started on a 'serl' node; the await ES keyword should be used in
place of the receive Erlang keyword; use the 'arguments' object to
implement arity=3, such that the other arities can be structurally
implemente later
- DONE: `proc.send/2` method, for sending messages; since send/3 doesn't
change the position of the first two parameters, we don't have to check
for arity here...
- UNDONE: then do a test using the pingpong example in Erlang docs on
message passing