Description
This is an example of Custom element Chart annotations and conditional labels and colors. You can see how to set the type, the values, the color and the offset of the annotation. You can also see how to change the color and the border of the labels above a threshold value.


Under the Aquino administration children’s rights violations are rife, with military occupation of schools becoming out of control and interrupting the education of future generations. This must not be tolerated!
International laws covering conflict situations expressly prohibit the use of public infrastructures such as schools; hospitals and rural health units for military purposes such as command posts, barracks detachments, and supply depots.
Education is a basic human right, however over recent years there has been an alarming increase in the number of reports of schools being militarized, being used as barracks and detachments in the course of the Aquino government counter insurgency campaign.
This recurring child rights violations gave birth to the Save Our Schools network.
The Save our schools Network is a network of child rights advocates, organizations and various stakeholders working together to bring light and take action on the ongoing violation of children’s right to education, particularly those in the context of militarization and attacks on schools.


--- title: "Heygate estate redevelopment" layout: default image: img/larryandjanetleave.png featured: true excerpt: "A detailed look at all that is wrong with what has become London's most controversial estate regeneration scheme." ---


The purpose of this project is to investigate the feasibility, challenges, and opportunities to serve the underserved communities through shared connected vehicles with emerging information and communication technologies. We are studying two types of vehicle-and-service-sharing (V&SS) schemes which we refer as centralized and decentralized systems, and their benefits to underserved communities. The initial focus of the project is to pursue the centralized model.
People living in underprivileged communities face transportation challenges. In such areas, public transportation is not available or unreliable. Vehicle-sharing services like Zipcar or Uber have open doors for great innovation in transportation via having people share vehicles and thus enable make transportation available to people without vehicles. However, such services have not spread out to underserved communities. We are investigating this problem and will propose a possible solution.
In order to figure out details about out target audience, we looked at published literature on the subject, as well as data from Uber rides in the Detroit area. We looked into what the needs of the people in the underprivileged areas around Detroit are. Focus was given on which cities have poor access to public transportation and what are the common needs that people have.
In order to get an understanding of the interactions and workflows involved in a ride-sharing application, I conducted a competitive analysis with popular centralized vehicle-sharing systems.
The analysis gave us a high level understanding about how centralized vehicle sharing systems work and what their user interface look like. From those, I sketched some initial screens, so that the team can use those sketches to better communicate and to show to users.
We wanted to get a better insight into the challenges associated with vehicle sharing, so we created a set of scenarios to show to potential users. Here is an example scenario:
We also created personas that represent our target audience. Additionally, we developed an anti-persona to help us stay on course with our design and not go off track. We wanted to show the personas in our user interviews, to make sure we understand who our target audience is.
Our next steps was to interview stakeholders and gather more data. We met with employees of a community service center in our target area. Such centers provide many services to people, such as help with job search, tax repairs, or transportation facilitation. We got feedback on our scenarios and personas, as well as more info about common problems that people report to the center.
Next, we developed low-fidelity paper prototypes based on all the data that we collected thus far.
To test our prototypes, we used a participatory design exercise called Scrolls. We placed our prototypes on a scroll, met with target users, and unveiled the scroll. Participants could see one prototype at a time and were encouraged to suggest changes. They had a pencil and could draw directly on the scrolls. That same day, we also conducted a focus group activity, which helped us further validate our assumptions and understanding of the users.
Finally, we built a working prototype of our app. I was responsible for the interaction design and front-end development of the app.


Matroska Test Files - Wave 1
This suite of files was created to validate the various Matroska players, parsers to make sure users get a consistent experience when moving their files on various programs/hardware. Since Matroska has a lot of features, it is hard to tell which are essential, which are encouraged and which are deprecated. The files presented here represent the minimum support a player should have to fully qualify as a Matroska player.
Codecs
Matroska can support any codec that is around. That doesn't mean softwares should support all of them. For various reasons softwares and hardwares can't always be upgraded to support all codecs around. But in the other hand there are a few safe codecs that are often found in Matroska and WebM that should be supported. These codec can be found in various resolutions and features so even with the right codec support, it is not guaranteed that an implementation may support all the possibilities of a codec (it is hardly ever the case). This document will not cover codec details. But here is a list of codecs that are commonly found in Matroska:
Video codecs
- H264/AVC/MPEG4 Part 10, usually up to 1080p
- MPEG4 Part 2, usually up to 720p
- VP8, usually up to 720p
- Theora, usually up to 720p
Audio codecs
- MPEG Audio Layer 3 (MP3)
- Vorbis
- AAC, AAC+, eACC+
- AC-3
- DTS
- FLAC
Subtitles codecs
- plain UTF-8 text
- ASS/SSA text
- VOBSUB (bitmaps from DVDs)
Audio only files
It is important to note that audio can also be used in audio only files, usually with the .mka extension. Those files should be handled as well, as long as the codec is supported.
Extra features
There are a number of features that are not essential to the playback experience but could really improve it, like support for tags, cover art, embedded fonts, segment linking. We won't blame you if you don't support these, but your users/customers will probably ask for it at some point. There is also 3D support that is meant to grow in the coming years. Matroska should be able to support all the formats, but given the subject is really new, it's not covered by this suite of files.
Test Files
1. Basic file
This file is the absolute minimum a compliant player should be able to handle.
The sample comes from the Big Buck Bunny open project. It contains MPEG4.2 (DivX) video, (854x480) MP3 audio, uses only SimpleBlock (matroska DocType v2)
2. Non default timecodescale & aspect ratio
This file has different features that need to be looked at carefully. The main one is the global TimecodeScale in the SegmentInfo is set to 100,000 rather than the default 1,000,000. That value affects the values of the file Duration in the Segment and the Clusters Timecode. The aspect ratio has also been stretched artificially to represent a 2.35 movie (from the original 16:9 aspect ratio). This file also contains CRC-32 values in the EBML header, the MetaSeek, the Segment Info, the Tracks and the Tags and PrevSize/Position in the Clusters for better error recovery.
It contains H264 (1024x576 pixels), and stereo AAC. The source material is taken from the Elephant Dreams video project
3. Header stripping & standard block
This file is using BlockGroup+Block only for audio and video frames. It also removes 2 bytes off each video and audio frame since they are all equal. These 2 bytes have to be put back in the frame before decoding. his file also contains CRC-32 values in the EBML header, the MetaSeek, the Segment Info, the Tracks and the Tags and PrevSize/Position in the Clusters for better error recovery.
It contains H264 (1024x576 pixels), and stereo MP3. The source material is taken from the Elephant Dreams video project
4. Live stream recording
This file is using the EBML feature that allows Master elements to have no known size. It is used for live streams because they don't know ahead of time the size of the Segment (virtually infinite) and even sometimes the size of the Clusters (no caching on the server side). The first timecode of the file also doesn't start at 0 since it's supposed to be a capture from something continuous. The SegmentInfo also doesn't contain any Duration as it is not know.
The sample comes from the Big Buck Bunny open project. It contains Theora video (1280x720), Vorbis audio, uses only SimpleBlock (matroska DocType v2)
A similar file can be created with mkclean using the "--live" option
5. Multiple audio/subtitles
This has a main audio track in english and a secondary audio track in english. It also has subtitles in English, French, German, Hungarian, Spanish, Italian and Japanese. The player should provide the possibility to switch between these streams.
The sample contains H264 (1024x576 pixels), and stereo AAC and commentary in AAC+ (using SBR). The source material is taken from the Elephant Dreams video project
6. Different EBML head sizes & cue-less seeking
This file is a test of the EBML parser of the player. The size of the Segment and Block/SimpleBlock is coded using 1 (or the minimum possible the size) and 8 bytes randomly. The file also have no Cues entry. So seeking should be disabled or look for Cluster boundaries in the stream (much slower than using Cues).
The sample comes from the Big Buck Bunny open project. It contains MPEG4.2 (DivX) video, (854x480) MP3 audio, uses only SimpleBlock (matroska DocType v2)
7. Extra unknown/junk elements & damaged
This file contains junk elements (elements not defined in the specs) either at the beggining or the end of Clusters. These elements should be skipped. There is also an invalid element at 451417 that should be skipped until the next valid Cluster is found.
The sample contains H264 (1024x576 pixels), and stereo AAC. The source material is taken from the Elephant Dreams video project
8. Audio gap
This file has a few audio frames missing between timecodes 6.019s and 6.360s. The playback should not stop, and if possible the video should not be skipped where the audio is missing
The sample contains H264 (1024x576 pixels), and stereo AAC. The source material is taken from the Elephant Dreams video project
Tools
All these files were created with mkvmerge and mkclean. They also pass the mkvalidator test tool (the test file 4 needs the --live option to correctly valdiate the file), except for the damaged file, as it is damaged.
Contact
If you have any question about these files please contact us at<EMAIL_ADDRESS>Changelog
- 2010-08-21: initial version


UNLV honors 105-year-old alumna as honorary homecoming queen
by Bob D'Angelo, Cox Media Group National Content DeskLAS VEGAS -
The oldest Runnin' Rebel was the toast of homecoming ceremonies Friday night.
Audrey James, who is 105, was crowned 2019's honorary homecoming queen at her alma mater, the University of Nevada, Las Vegas, KLAS reported.
“Oh, it’s wonderful. It’s really great,” James told the television station. “I’m just so excited.
“The flowers, and all of this. Oh, television. Who would’ve thought that for me?”
In 1952, James saw a newspaper ad for college classes offered at the school, then known as Nevada Southern, according to the UNLV News Center website. Although Las Vegas was segregated, the university was not.
James earned her bachelor's and master's degrees while teaching first grade in west Las Vegas' predominantly African American schools, the website reported. She took classes at night and during the summer, earning her bachelor's degree in elementary education in 1965 and her master's in 1971.
To be honored by the university was a dream come true.
"I said ‘Am I dreaming?’” James told KLAS. “I would advise anyone going to school, going to college, to come here.”
Born in Mississippi, James graduated from high school in 1935. Her teaching career began at Waterman School, a private boarding school in Cincinnati, the UNLV News Center reported.
"I tried to get into the nursing school," James told the website. "They wouldn't accept any blacks. The principal of the Waterman School said, 'Audrey, you're so good with kids you need to go to teachers college.'"
James taught third- and fourth-grade students at Globe Academy in Columbia, Mississippi, earning $97 a month. After moving to Las Vegas, she taught until retiring from Laura Dearing Elementary School in 1978.
James still works three mornings a week as a supervisor of "Fish," a local food pantry she opened 27 years ago, KLAS reported.


Presentation Template
A simple way to write impress.js presentations
Need a way to make a nice presentation without thinking too hard on the impress.js stuff? This is it!
By: Josh Souza
Who am I?
Josh Souza
- HTML 5 enthusiast
- Developer (So many languages)
- Powerpoint hater
-<EMAIL_ADDRESS>- GitHub: ShadowZero3000
Why?
- Tired of PowerPoint
- Needed a consistent theme for presentations
- Liked Impress.js
- Didn't like having to think through layouts
What
- Framework/template for being able to just start writing content
- Javascript to handle the layout automatically if you don't want to
- Permits you to still put in your own layouting
- Is far from perfect
Cool facts
- You can load up other fun content using javascript, because it's all HTML
- I have included SyntaxHighlighter for code highlighting
/** Thank you: http://alexgorbatchev.com/SyntaxHighlighter
**/
if(user.like()){
user.favorite('ShadowZero3000/impress-template');
}
Filler
- I don't have much else to say
Thanks
- If this helps you, I'd love to hear back!


XCUIElement Class Reference
| Inherits from | NSObject |
|---|---|
| Conforms to | XCUIElementAttributes XCUIElementTypeQueryProvider |
| Declared in | XCUIElement.h |
Overview
@class XCUIElement (/seealso XCUIElementAttributes) Elements are objects encapsulating the information needed to dynamically locate a user interface element in an application. Elements are described in terms of queries /seealso XCUIElementQuery.
@category Events Events that can be synthesized relative to an XCUIElement object. When an event API is called, the element will be resolved. If zero or multiple matches are found, an error will be raised.
Other Methods
exists
Test to determine if the element exists.
@property (readonly) BOOL exists
Discussion
Test to determine if the element exists.
Declared In
XCUIElement.h
– descendantsMatchingType:
Returns a query for all descendants of the element matching the specified type.
- (XCUIElementQuery *)descendantsMatchingType:(XCUIElementType)type
Discussion
Returns a query for all descendants of the element matching the specified type.
Declared In
XCUIElement.h
– childrenMatchingType:
Returns a query for direct children of the element matching the specified type.
- (XCUIElementQuery *)childrenMatchingType:(XCUIElementType)type
Discussion
Returns a query for direct children of the element matching the specified type.
Declared In
XCUIElement.h
debugDescription
@discussion Provides debugging information about the element. The data in the string will vary based on the time at which it is captured, but it may include any of the following as well as additional data: • Values for the elements attributes. • The entire tree of descendants rooted at the element. • The element’s query. This data should be used for debugging only - depending on any of the data as part of a test is unsupported.
@property (readonly, copy) NSString *debugDescription
Discussion
@discussion Provides debugging information about the element. The data in the string will vary based on the time at which it is captured, but it may include any of the following as well as additional data: • Values for the elements attributes. • The entire tree of descendants rooted at the element. • The element’s query. This data should be used for debugging only - depending on any of the data as part of a test is unsupported.
Declared In
XCUIElement.h
XCUIElementEventSynthesis Methods
– tap
Sends a tap event to the center coordinate of the element.
- (void)tap
Discussion
Sends a tap event to the center coordinate of the element.
Declared In
XCUIElement.h
– pressForDuration:
Sends a long press gesture to the element, holding for the specified duration.
- (void)pressForDuration:(NSTimeInterval)duration
Discussion
Sends a long press gesture to the element, holding for the specified duration.
@param duration Duration in seconds.
Declared In
XCUIElement.h
– pressForDuration:thenDragToElement:
Initiates a press-and-hold gesture that then drags to another element, suitable for table cell reordering and similar operations. @param duration Duration of the initial press-and-hold. @param otherElement The element to finish the drag gesture over. In the example of table cell reordering, this would be the reorder element of the destination row.
- (void)pressForDuration:(NSTimeInterval)duration thenDragToElement:(XCUIElement *)otherElement
Discussion
Initiates a press-and-hold gesture that then drags to another element, suitable for table cell reordering and similar operations. @param duration Duration of the initial press-and-hold. @param otherElement The element to finish the drag gesture over. In the example of table cell reordering, this would be the reorder element of the destination row.
Declared In
XCUIElement.h
– swipeUp
Sends a swipe-up gesture.
- (void)swipeUp
Discussion
Sends a swipe-up gesture.
Declared In
XCUIElement.h
– swipeDown
Sends a swipe-down gesture.
- (void)swipeDown
Discussion
Sends a swipe-down gesture.
Declared In
XCUIElement.h
– swipeLeft
Sends a swipe-left gesture.
- (void)swipeLeft
Discussion
Sends a swipe-left gesture.
Declared In
XCUIElement.h
– swipeRight
Sends a swipe-right gesture.
- (void)swipeRight
Discussion
Sends a swipe-right gesture.
Declared In
XCUIElement.h
– typeText:
Types a string into the element. The element or a descendant must have keyboard focus; otherwise, an error is raised.
- (void)typeText:(NSString *)text
Discussion
Types a string into the element. The element or a descendant must have keyboard focus; otherwise, an error is raised.
Declared In
XCUIElement.h
– hover
Moves the cursor over the element.
- (void)hover
Discussion
Moves the cursor over the element.
Declared In
XCUIElement.h
– click
Sends a click event to the center coordinate of the element.
- (void)click
Discussion
Sends a click event to the center coordinate of the element.
Declared In
XCUIElement.h
– clickForDuration:thenDragToElement:
Clicks and holds for a specified duration (generally long enough to start a drag operation) then drags to the other element.
- (void)clickForDuration:(NSTimeInterval)duration thenDragToElement:(XCUIElement *)otherElement
Discussion
Clicks and holds for a specified duration (generally long enough to start a drag operation) then drags to the other element.
Declared In
XCUIElement.h
+ performWithKeyModifiers:block:
Hold modifier keys while the given block runs. This method pushes and pops the modifiers as global state without need for reference to a particular element. Inside the block, elements can be clicked on, dragged from, typed into, etc.
+ (void)performWithKeyModifiers:(XCUIKeyModifierFlags)flags block:(void ( ^ ) ( void ))block
Discussion
Hold modifier keys while the given block runs. This method pushes and pops the modifiers as global state without need for reference to a particular element. Inside the block, elements can be clicked on, dragged from, typed into, etc.
Declared In
XCUIElement.h
– typeKey:modifierFlags:
Types a single key with the specified modifier flags. Although key
is a string, it must represent a single key on a physical keyboard;
strings that resolve to multiple keys will raise an error at runtime.
- (void)typeKey:(NSString *)key modifierFlags:(XCUIKeyModifierFlags)flags
Discussion
Types a single key with the specified modifier flags. Although key
is a string, it must represent a single key on a physical keyboard;
strings that resolve to multiple keys will raise an error at runtime.
Declared In
XCUIElement.h
– scrollByDeltaX:deltaY:
Scroll the view the specified pixels, x and y.
- (void)scrollByDeltaX:(CGFloat)deltaX deltaY:(CGFloat)deltaY
Discussion
Scroll the view the specified pixels, x and y.
Declared In
XCUIElement.h


Hey there, I'm Anthony. I'm a Junior MISY major at the University of Delaware. I am from Wilmington Delaware but I was born in Chester Pennsylvania almost 21 years ago. I decided to go to UD for pretty much the same reason as anyone, financial and location. I live very close and it is affordable for me to go here.


Dear friend, I wish the best in life for you and your family, and I hope you will receive this mail in good spirit and respond quickly with ultmost secrecy and confidentiality,I got your address through my professional relationship in discharging of my duties for my government. My name is Gen. Anthony Johnson. and I was the chief of security and operations for former president Charles Taylor of Liberia.Please protect this mail for the safety of my life and that of my family to avoid us being tortured or killed by his left behind secret agents. Please I humbly beg you from the bottom of my heart to listen very carefully,the situation in my country is very critical and chaos, uproar and hostilities had brought the country to its knees and from intelligent report the center cannot hold anymore for former president Charles Taylor and his government. The intense pressure from united states, united nations, international community and west African peace keeping to[Ecomog] had made him former president Charles Taylor to step aside and gone on exile and also pressure to face war crime charges against humanity. Listen very carefully, you know my country Liberia is very rich with diamonds,and with my position as former chief of security and operations I have accumulated so much diamonds which I had sold to generate close to $30 Million over the years and it is this fund that I want to move to you for safe keeping. The fund are in boxes in dollar denomination and it would be sent to you through diplomatic courier service with your name as the beneficiary within few days. Please would you do me a favour to receive this fund for me? Else the government in power will seize the fund and plunder it. If you are capable and know that you will truly and honestly help me, write me now, time is no more on my side. I will give you 30% of the fund and I will come to your country to take my part. Extend a friendly hand and help me. Please bear in mind that this fund is not a loaned or stolen money but rather a hard earned money generated. If you are willing to help me in this transaction,please furnish me with the followings: (1) Your telephone number, Fax number (Mobile phoneif any) (2) Your postal address (3) Your full name and a little pre-amble about yourself - I mean your age, Marrital status, What you are doing for a living e.t.c please reply back via my private email address for your good interest:-<EMAIL_ADDRESS>Yours Sincerely, Gen.Anthony Johnson. ___________________________________________________________________________ Mail sent from WebMail service at PHP-Nuke Powered Site - http://yoursite.com


Join or create a session
to start drawing!
head
Choose a name:
Create session
Create
Canvas Width:
800 px
Canvas Height:
600 px
Draw your Avatar
Join session
Join


{% extends 'brambling/event/order/__base.html' %} {% load zenaida %} {% block title %}Order summary – {{ block.super }}{% endblock %} {% block javascripts %} {{ block.super }} {% include 'brambling/event/order/_use_discount_js.html' %} {% if event.stripe_connected %} {% include "brambling/_stripe_js.html" %} {% endif %} {% endblock %} {% block main %} {% with next_step=1 %} {{ block.super }} {% endwith %} {% if not event.stripe_connected and not event.organization.check_payment_allowed %}
No payment methods are currently available. Please alert the event organizers if you think this is in error.
Your passes are reserved, but the organizer has not yet received your payment by mail.
{% include "brambling/event/order/_check_payment_info.html" %}If you mailed your check more than a week ago or believe this is in error, please contact the event organizer directly.


This is a generic model for the heat capacity of a material. No specific geometry is assumed beyond a total volume with uniform temperature for the entire volume. Furthermore, it is assumed that the heat capacity is constant (independent of temperature).
The temperature T [Kelvin] of this component is a state. A default of T = 25 degree Celsius (= SIunits.Conversions.from_degC(25)) is used as start value for initialization. This usually means that at start of integration the temperature of this component is 25 degrees Celsius. You may, of course, define a different temperature as start value for initialization. Alternatively, it is possible to set parameter steadyStateStart to true. In this case the additional equation 'der(T) = 0' is used during initialization, i.e., the temperature T is computed in such a way that the component starts in steady state. This is useful in cases, where one would like to start simulation in a suitable operating point without being forced to integrate for a long time to arrive at this point.
Note, that parameter steadyStateStart is not available in the parameter menu of the simulation window, because its value is utilized during translation to generate quite different equations depending on its setting. Therefore, the value of this parameter can only be changed before translating the model.
This component may be used for complicated geometries where the heat capacity C is determined my measurements. If the component consists mainly of one type of material, the mass m of the component may be measured or calculated and multiplied with the specific heat capacity cp of the component material to compute C:
C = cp*m. Typical values for cp at 20 degC in J/(kg.K): aluminium 896 concrete 840 copper 383 iron 452 silver 235 steel 420 ... 500 (V2A) wood 2500


Owner Info
| Name: | John Doe |
|---|
| Email: |<EMAIL_ADDRESS>|
|---|
Specifications
| Make | Toyota |
|---|---|
| Model | Corolla |
| Year | 2010 |
| Color | Red |
| Body Type | SUV |
| Mileage | - |
| Description | This car is strong, fresh, and robust. It still retains the new car smell :-) |
| Price | ₦ 2,500,000.00 |
| Name: | John Doe |
|---|
| Email: |<EMAIL_ADDRESS>|
|---|
| Make | Toyota |
|---|---|
| Model | Corolla |
| Year | 2010 |
| Color | Red |
| Body Type | SUV |
| Mileage | - |
| Description | This car is strong, fresh, and robust. It still retains the new car smell :-) |
| Price | ₦ 2,500,000.00 |


The Readiness Assessment consists of questions across the 8 categories from the
For each question, answer carefully based on your experience and include evidence such as notes, links, or files to support your response. You may skip a question if you are not sure how to respond. Save each completed response as you move through the assessment


INFORMATION
User:
{{this.user_info.username}}
Email:
{{this.user_info.email}}
Joined:
{{this.user_info.date_joined}}
WIN RATIO
Statistics
Game Number
Win or Loss
Cannons Placed
Shots Fired
Walls Placed
Players in Game
{{#each []}} {{#ifevenodd this.id}}
{{else}}
{{/ifevenodd}}
{{this.id}}
{{#ifwinner this.user_id this.winner_id}}
Win
{{else}}
Loss
{{/ifwinner}}
{{this.numCannons}}
{{this.numFires}}
{{this.numWalls}}
{{this.num_players}}
{{/each}}


Startpage
What is CuteFlow
CuteFlow is a webbased document circulation/workflow tool. Users are able to define "documents" which are send step by step to every station/user in a list.
It's an electronical way for doing (i.e. internal) document circulations.
A document can be assembled from input fields that could be filled by the receiver of the document. So after a completed circulation you will have
a completely filled document. Also Attachments to the document are possible (i.e. for illustration material).
See the Concepts for a detailed view how CuteFlow works.


About the Game ..
At BlackJaw, you can enjoy all of your favorite poker games with thousands of other players twenty-four hours a day. The greatest benefit to you is that you can always find full tables in any game at just about any limit you want to play.
We offer the most poker games anywhere online, so you are sure to find an exciting, fun game of poker whether you are a lover of Hold them, Stud, Draw and more. And if you are new to a game we will tell you all you need to know to get started. If you want to learn the basics, or are looking for a quick reminder, try our interactive tutorial now - you will be up and running in no time at all!
COMING SOOON ....


Welcome to Grassion!
These terms and conditions outline the rules and regulations for the use of Grassion's Website, located at www.grassion.com
The following terminology applies to these Terms and Conditions, Privacy Statement and Disclaimer Notice and all Agreements: "Client", "You" and "Your" refers to you, the person log on this website and compliant to the Company’s terms and conditions. "The Company", "Ourselves", "We", "Our" and "Us", refers to our Company. "Party", "Parties", or "Us" ,refers to both the Client and ourselves. All terms refer to the offer, acceptance and consideration of payment necessary to undertake the process of our assistance to the Client in the most appropriate manner for the express purpose of meeting the Client’s needs in respect of provision of the Company’s stated services, in accordance with and subject to, prevailing law of Netherlands. Any use of the above terminology or other words in the singular, plural, capitalization and/or he/she or they, are taken as interchangeable and therefore as referring to same.
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Most interactive websites use cookies to let us retrieve the user’s details for each visit. Cookies are used by our website to enable the functionality of certain areas to make it easier for people visiting our website. Some of our affiliate/advertising partners may also use cookies.
Unless otherwise stated, Grassion and/or its licensors own the intellectual property rights for all material on Grassion. All intellectual property rights are reserved. You may access this from Grassion for your own personal use subjected to restrictions set in these terms and conditions.
You must not:
This Agreement shall begin on the date hereof. Our Terms and Conditions were created with the help of the Terms And Conditions Generator and the Privacy Policy Generator.
Parts of this website offer an opportunity for users to post and exchange opinions and information in certain areas of the website. Grassion does not filter, edit, publish or review Comments prior to their presence on the website. Comments do not reflect the views and opinions of Grassion,its agents and/or affiliates. Comments reflect the views and opinions of the person who post their views and opinions. To the extent permitted by applicable laws, Grassion shall not be liable for the Comments or for any liability, damages or expenses caused and/or suffered as a result of any use of and/or posting of and/or appearance of the Comments on this website.
Grassion reserves the right to monitor all Comments and to remove any Comments which can be considered inappropriate, offensive or causes breach of these Terms and Conditions.
You warrant and represent that:
You hereby grant Grassion a non-exclusive license to use, reproduce, edit and authorize others to use, reproduce and edit any of your Comments in any and all forms, formats or media.
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Neural network based language models are nowdays among the most successful techniques for statistical language modeling. They can be easily applied in wide range of tasks, including automatic speech recognition and machine translation, and provide significant improvements over classic backoff n-gram models. The 'rnnlm' toolkit can be used to train, evaluate and use such models.
The goal of this toolkit is to speed up research progress in the language modeling field. First, by providing useful implementation that can demonstrate some of the principles. Second, for the empirical experiments when used in speech recognition and other applications. And finally third, by providing a strong state of the art baseline results, to which future research that aims to "beat state of the art techniques" should compare to.
rnnlm-0.1h - some older version of the toolkit
rnnlm-0.3e - latest version of the toolkit
Basic examples - very useful for quick introduction (training, evaluation, hyperparameter selection, simple n-best list rescoring, etc.) - 35MB
Advanced examples - includes large scale experiments with speech lattices (n-best list rescoring, ...) - 235MB, by Stefan Kombrink
Slides from my presentation at Google - pdf
RNNLM is now integrated into Kaldi toolkit! Check this.
Example of data generated by 4-gram language model, by RNN model and by RNNME model (all models are trained on Broadcast news data, 400M/320M words) - check which generated sentences are easier to read!
Word projections from RNN-80 and RNN-640 models trained on Broadcast news data + tool for computing the closest words. (extra large 1600-dimensional features from 3 models are here)
Tomas Mikolov -<EMAIL_ADDRESS>Stefan Kombrink -<EMAIL_ADDRESS>Mikolov Tomáš: Statistical Language Models based on Neural Networks. PhD thesis, Brno University of Technology, 2012.
All the details that did not make it into the papers, more results on additional taks.
Mikolov Tomáš, Sutskever Ilya, Deoras Anoop, Le Hai-Son, Kombrink Stefan, Černocký Jan: Subword Language Modeling with Neural Networks. Not published (rejected from ICASSP 2012).
Using subwords as basic units for RNNLMs has several advantages: no OOV rate, smaller model size and better speed. Just split the infrequent words into subword units.
Mikolov Tomáš, Deoras Anoop, Povey Daniel, Burget Lukáš, Černocký Jan: Strategies for Training Large Scale Neural Network Language Models, In: Proceedings of ASRU 2011
How to train RNN LM on a single core on 400M words in a few days, with 1% absolute improvement in WER on state of the art setup.
Mikolov Tomáš, Kombrink Stefan, Deoras Anoop, Burget Lukáš, Černocký Jan: RNNLM - Recurrent Neural Network Language Modeling Toolkit, In: ASRU 2011 Demo Session
Brief description of the RNN LM toolkit that is available on this website.
Mikolov Tomáš, Deoras Anoop, Kombrink Stefan, Burget Lukáš, Černocký Jan: Empirical Evaluation and Combination of Advanced Language Modeling Techniques, In: Proceedings of the 12th Annual Conference of the International Speech Communication Association (INTERSPEECH 2011), Florence, IT
Comparison to other LMs shows that RNN LMs are state of the art by a large margin. Improvements inrease with more training data.
Kombrink Stefan, Mikolov Tomáš, Karafiát Martin, Burget Lukáš: Recurrent Neural Network based Language Modeling in Meeting Recognition, In: Proceedings of the 12th Annual Conference of the International Speech Communication Association (INTERSPEECH 2011), Florence, IT
Easy way how to adapt RNN LM + speedup tricks for rescoring (can be faster than 0.05 RT)
Deoras Anoop, Mikolov Tomáš, Kombrink Stefan, Karafiát Martin, Khudanpur Sanjeev: Variational Approximation of Long-span Language Models for LVCSR, In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, CZ
RNN LM can be approximated by n-gram model, and used directly in the decoder at no compuational cost.
Mikolov Tomáš, Kombrink Stefan, Burget Lukáš, Černocký Jan, Khudanpur Sanjeev: Extensions of Recurrent Neural Network Language Model, In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, CZ
Better results by using Backpropagation throught time and better speed by using classes.
Mikolov Tomáš, Karafiát Martin, Burget Lukáš, Černocký Jan, Khudanpur Sanjeev: Recurrent neural network based language model, In: Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010), Makuhari, Chiba, JP
We show that RNN LM can be trained just by simple backpropagation, despite the popular beliefs.


Titanfall
This IS the first game I've ever played. I got Titanfall in a bundle with my new Xbox One. This is all I ever played for a good year. I have to say I really enjoyed it, the graphics blew me away. This could be because I only ever had the original Xbox before, but I decided it was smarter to wait and buy the next gen console. This game was not disappointing at all. I absolutely loved it.


--- layout: post title: Roadtrippin' (analog & uncut version) category: - Analog - Street Photos tags: - 35mm - canon - capelo - madrid - photography - prima 5 - shutter hell up - spain - toledo status: publish type: post published: true meta: image_url: http://antoniocapelo.com/blog/wp-content/uploads/2011/10/roadt-04.jpg image_tag: _edit_last: '1' ---
Hey, since the poll I initiated on Facebook was approved by "all", here it is, the uncut version of the 35mm film I took with me on the roadtrip to Spain.
Just for the record, by "uncut" I'm not saying that these are hardcore, blowyamind, extremely not-suitable-for work kind of photos.
By "uncut" I mean I did not select the good pictures, or the cute smiles, and I definitely did not deleted photos that can be used, in the future, to blackmail any of the characters bellow...
Night in Toledo
cheap cider
dead-end for feet
doing the dishes to pay for the hostel
Blinded by the lights xD
gentlemen
tough nights
bench, stairs or barrel
barmaid in Toledo
Blinded by the lighs part II xD
Chillin'
Can't imagine who he is..
"they're fishes"
waking up in Madrid.
Managed to take some nice photos there too:
Back to you, tapas
This composition was...totally planned.
Flashing the mirror.
And that's it.
More rolls / jpeg's to come!
A. Capelo


Neuroplasticity is the brains ability to expand and grow when learning and changeing. This is because the brain has the ability to change or expand like plastic hence why the name. Simply put Neuroplasticity is when your brain's neural pathways are altered as an effect of environmental, behavioral, and neural change. When you are exposed to new information you brain starts to change and create new pathways. Those pathways expand the more frequently you are exposed to that information.
Neuroplasticity happens continually as you learn and memorize new data. One way we can take advantage of Neuroplasticity while learning is by being exposed to the same information frequently. This can be done in many forms such as reading material memorising or even practising and implementing what you are learning. We can use this principle when trying to learn coding or a new language. The more we code using a specific language the more better we will become at it and it will become easier to store in our brains.
Below I have pasted a link to a website which has amazing information and research studies on Neuroplasticity which you can read to learn more about the principles of Neuroplasticity. There is also a bonus ted talk which really helps breakdown the postive effects of increasing Neuroplasticity. read more on Neuroplasticity
Being able to grow or learn things in life starts of by first requiring a mental change. You need to be in the right type of mindset to be able to grow and adapt and to learn new things what ever they maybe. This is where being in a growth mindset mentally is the key. Having this type of mindset allows for a person to recognise that abilities can be developed over time with effort and consistency. This type of mindset can be developed in all aspects of life. The opposite of this is a fixed mindeset in which a person in that state mentally believes that abilities is a natural reality and that it can not be developed with effort.
I believe in order for me or anyone to be in this type of mindset requires motivation inspiration and a postive attitude. Reason being is you need to have a catalyst for change. You need to have a reason as to why you want to change. There also needs to be a good attitude in order for you to follow up on the expectations you have set for yourself to be able to grow. Having a good attitude will allow you remain consistent on the task at hand. Hopefull you have gotten something out of this blog that you can implement to make a postive change in your life. I have added a link below to a website if you would like to know more on the subject of developing a growth mindset. Developing a Growth Mindset Video


Welcome to Synthea Health!
Please selection from the following options:
Create a new module
Edit a new module
Delete a new module
Create a diagram from an existing module


Tests resource tree model on page reload, compares resource tree against golden. Every line is important.


VCD Major that is a 4th year student here. From Renton, Washington and was a 3 sport athlete with soccer, football, and swim team. I am 21 years old and have 3 brothers (2 older 1 younger). I went to state for swim and was an all league kicker and soccer player. I am a huge Seahawks fan and have been my whole life.
My goals and aspirations are that I want to graduate EWU and work in advertising. I am willing to comprimise to have a job but I would like to get a good career that I will be able to work for many many years.


| Total net profit | -112.42 | Gross profit | 10.19 | Gross loss | -122.61 |
| Profit factor | 0.08 | Expected payoff | -2.25 | ||
| Absolute drawdown | -112.42 | Maximal drawdown (%) | 111.81 (-18329.51%) | ||
| Total trades | 50 | Profit trades (% of total) | 8 (16.0%) | Loss trades (% of total) | 42 (84.0%) |
| Long positions (won %) | 27 (11.11%) | Short positions (won %) | 23 (21.74%) | ||
| Largest | profit trade | 2.08 | loss trade | -8.59 | |
| Average | profit trade | 1.27 | loss trade | -2.92 | |
| Minimum | profit trade | 0.61 | loss trade | -0.04 | |
| Maximum | take profit in pips | 20.7 | stop loss in pips | -57.0 | |
| Average | take profit in pips | 3.4 | stop loss in pips | -27.6 | |
| Minimum | take profit in pips | -15.6 | stop loss in pips | -16.2 | |
| Maximum | Reward-Risk | 0.9 | Duration in minutes | 7708 | |
| Average | Reward-Risk | 0.3 | Duration in minutes | 1269.6 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 3 | |
| Maximum | consecutive wins (profit in money) | 2.0 (2.06) | consecutive losses (loss in money) | 13.0 (-36.72) | |
| Average | consecutive wins | 1.0 | consecutive losses | 5.0 |
| Total net profit | -62.62 | Gross profit | 4.04 | Gross loss | -66.66 |
| Profit factor | 0.06 | Expected payoff | -2.32 | ||
| Absolute drawdown | -62.62 | Maximal drawdown (%) | 62.01 (-10165.57%) | ||
| Total trades | 27 | Profit trades (% of total) | 3 (11.11%) | Loss trades (% of total) | 24 (88.89%) |
| Largest | profit trade | 2.08 | loss trade | -8.59 | |
| Average | profit trade | 1.35 | loss trade | -2.78 | |
| Minimum | profit trade | 0.61 | loss trade | -0.04 | |
| Maximum | take profit in pips | 13.9 | stop loss in pips | -57.0 | |
| Average | take profit in pips | -2.8 | stop loss in pips | -32.5 | |
| Minimum | take profit in pips | -15.6 | stop loss in pips | -16.2 | |
| Maximum | Reward-Risk | 0.7 | Duration in minutes | 6423.0 | |
| Average | Reward-Risk | 0.1 | Duration in minutes | 1205.3 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 37.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (2.08) | consecutive losses (loss in money) | 14.0 (-36.88) | |
| Average | consecutive wins | 1.0 | consecutive losses | 7.0 |
| Total net profit | -49.8 | Gross profit | 6.15 | Gross loss | -55.95 |
| Profit factor | 0.11 | Expected payoff | -2.17 | ||
| Absolute drawdown | -51.33 | Maximal drawdown (%) | 48.66 (-1822.47%) | ||
| Total trades | 23 | Profit trades (% of total) | 5 (21.74%) | Loss trades (% of total) | 18 (78.26%) |
| Largest | profit trade | 1.69 | loss trade | -4.88 | |
| Average | profit trade | 1.23 | loss trade | -3.11 | |
| Minimum | profit trade | 0.71 | loss trade | -2.48 | |
| Maximum | take profit in pips | 20.7 | stop loss in pips | -32.0 | |
| Average | take profit in pips | 10.7 | stop loss in pips | -22.0 | |
| Minimum | take profit in pips | 4.6 | stop loss in pips | -16.4 | |
| Maximum | Reward-Risk | 0.9 | Duration in minutes | 7708.0 | |
| Average | Reward-Risk | 0.5 | Duration in minutes | 1345.0 | |
| Minimum | Reward-Risk | Duration in minutes | 3.0 | ||
| Maximum | consecutive wins (profit in money) | 2.0 (1.53) | consecutive losses (loss in money) | 10.0 (-30.05) | |
| Average | consecutive wins | 1.0 | consecutive losses | 4.0 |


{% extends "base.html" %} {% load static %} {% block css %} {% endblock css %} {% block content %} View all the currently avaliable recipies View your pantry and recipies generated Future updates: Share content with others Check how your fridge ranks in the carbon emissions of your ingredients {% endblock %}
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Check how your fridge ranks in the carbon emissions of your ingredients


Originally written by Jeffrey Astroff and Mike Sikowitz
Transcribed by Josh Hodge.
Minor additions and adjustments by Dan SIlverstein.
[Scene: Monica and Rachel's apartment. Monica, Rachel, Ross, and Phoebe
are there. Phoebe is looking out the window.]
PHOEBE: Ooh, ooh, ooh, ooh, ooh. Ugly Naked Guy is decorating his tree. Oh my God, you
should see the size of his Christmas Balls.
[Chandler and Joey enter.]
JOEY: Hey.
CHANDLER: Hey.
RACHEL: Hey.
JOEY: Hey, how much did you guys tip the super this year?
CHANDLER: Yeah, we were gonna give fifty, but if you guys gave more, we don't wanna look
bad.
MONICA: Oh, actually this year we just made him homemade cookies.
CHANDLER: And twenty-five it is.
JOEY: You gave him cookies?
MONICA: Money is so impersonal. Cookies says someone really cares. . . Alright, we're
broke, but cookies do say that.
PHOEBE: I can see that. A plate of brownies once told me a limerick.
CHANDLER: Phoebs, let me ask you something, were, were these, uh, funny brownies?
PHOEBE: Not especially. But you know what, I think they had pot in them.
ROSS: So you guys, who else did you tip with cookies?
RACHEL: Uhh, the mailman, the super.
[There's a bang at the door.]
MONICA: Oh, and the newspaper delivery guy.
[Joey opens the door and picks up the remnants of the newspaper.
JOEY: Oh my God.
RACHEL: What?
JOEY: Uhhh, I don't think you're gonna like this.
[Joey shows them the torn-up newspaper.]
RACHEL: Ooh, goooosh, ooh, these are cookies smashed in the sports section.
MONICA: Oh look, and he did my crossword puzzle.
ROSS: Yeah, but not very well, unless 14-across, 'Gershwin musical' actually is
bitemebitemebitemebiteme.
OPENING TITLES
[Scene: Central Perk. Monica, Chandler, and Joey are seated at couches. Rachel is
working behind the counter.]
JOEY: I can't believe it's Christmas already.
CHANDLER: Which is why geese are so relaxed this time of year.
[Ross enters with several bags from shopping.]
ROSS: Hey guys.
CHANDLER, MONICA, and JOEY: Hey.
[Ross approaches Rachel at counter.]
ROSS: Hey Rach. I, uh, got you a little present. [Rachel is not impressed]. . I'll open
it. It's a Slinky! Remember, huh. [sings] Walks down stairs, alone or in pairs,
everyone knows it's. . . just a big spring. Alright, you still mad at me becuase of
the whole. . .
RACHEL: Horrible and degrading list of reasons not to be with me?
ROSS: How 'bout from now on we just call it the 'unfortunate incident'? [Rachel walks off]
Hey Gunther, you got stairs in your place?
GUNTHER: Yeah.
ROSS: Here, go nuts. [gives him the Slinky and goes and sits with others at the couches]
ROSS: Hey guys.
CHANDLER, MONICA, and JOEY: Hey.
CHANDLER: What's in the bag?
ROSS: Um, just some presents.
JOEY: C'mon show us what you bought. . . You know you want to.
ROSS: [childishly] OK. OK, this is a picture frame from Ben to my parents, huh.
MONICA: Cute.
ROSS: I got some, uh, hers and hers towels for Susan and Carol. And, uh, I got this blouse
for mom.
[Ross holds up the blouse. It is extremely tacky, with sewn-on medals hanging off of it.]
MONICA: Ross, that is gorgeous!
ROSS: Yeah?
MONICA: Look at these authentic fake medals. I tell ya, mom's gonna be voted best dressed
at the make-believe military academy.
[Phoebe enters.]
PHOEBE: Hey.
GANG: Hey. Hi Phoebe.
PHOEBE: Happy Christmas Eve Eve. [sees Ross's picture frame] Oh my God, where did you get
this?
ROSS: Uh, Macy's, third floor, home furnishings.
PHOEBE: This is my father, this is a picture of my dad.
CHANDLER: Nah, Phoebs, that's the guy that comes in the frame.
PHOEBE: No it isn't, this is my dad, alright, I'll show you.
RACHEL: Phoebe, I thought your dad was in prison.
PHOEBE: No, that's my stepdad. My real dad's the one that ran out on us before I was born.
RACHEL: How have you never been on Oprah?
PHOEBE: [showing her pictures] OK, look, see, this is him. My mother gave me this picture
before she died, same guy.
MONICA: Honey, uh, this is a picture of the frame guy posing in front of a bright blue
screen with a collie.
PHOEBE: It's not a blue screen... it's just, maybe it was just really clear that day. OK,
I have to talk to my grandmother. [turns to leave]
MONICA: Oh, wait a minute honey.
GANG: Phoebs. [Phoebe leaves]
MONICA: Wow.
JOEY: So anyway, I'm trying to get my boss's ex-wife to sleep with me. . .
GANG: Joey!
JOEY: Oh, but when Phoebe has a problem, everyone's all ears!
[Scene: Phoebe's grandmother's place. Phoebe's grandmother is sitting at the table,
reading the obituaries, and crossing out names in the phonebook.]
GRANDMOTHER: Esther Livingston. [scratches out name] Gone.
[Phoebe enters.]
GRANDMOTHER: Hi, Phoe.
PHOEBE: Hi Gram. Whatcha doin'?
GRANDMOTHER: Oh, just updating the phonebook.
PHOEBE: Um, gram, um, can I see the pictures of my dad again?
GRANDMOTHER: [nervously] Oh. Oh, sure, sure, uh, uh, how come?
PHOEBE: Just, you know, to see... um.
GRANDMOTHER: Oh, sure, yeah. [gets a box with the pictures] This is the one of you father
in a meadow, and, uh, helping a little boy fly a kite, and here he is at a graduation. . .
another graduation. . . another graduation.
PHOEBE: OK, is this really my father?
GRANDMOTHER: Is it really your fa--I can't... well of course it is.
PHOEBE: OK, I smell smoke.
GRANDMOTHER: Look, I. . .
PHOEBE: Ya know, in all the years that we have been grandmother and granddaughter, you
have never lied to me.
GRANDMOTHER: Alright, that is not your father, that's just a picture of a guy in a frame.
PHOEBE: Oh God.
GRANDMOTHER: It was your mother's idea. Ya know, she didn't want you to know your real
father because it hurt her so much when he left, and, I didn't want to go along with it,
but, well then she died and, and it was harder to argue with her. Not impossible, but
harder.
PHOEBE: Alright, so, what, he's not a famous tree surgeon? And then, I guess, OK, he
doesn't live in a hut in Burma where there's no phones?
GRANDMOTHER: Last I heard, he was a pharmacist somewhere upstate.
PHOEBE: OK, that makes no sense. Why would the villagers worship a pharmacist?
GRANDMOTHER: Honey.
PHOEBE: [realizes] Oh.
GRANDMOTHER: Anyway, that's all I know. That, and this. [pulls apart a frame and pulls a
picture out] This is the real him.
PHOEBE: Oh.
[Scene: Monica and Rachel's apartment. Rachel, Chandler, and Joey are decorating the
Christmas tree.]
CHANDLER: Ya know I remember my father, all dressed up in the red suit, the big black
boots, and the patent leather belt, sneakin around downstairs. He didn't want anybody to
see him but he'd be drunk so he'd stumble, crash into something and wake everybody up.
RACHEL: Well, that doesn't sound like a very merry Christmas.
CHANDLER: Who said anything about Christmas?
[Monica and Ross enter.]
MONICA: Hi.
ROSS: Hey, anyone hear from Phoebe yet?
RACHEL: No, nothin'.
MONICA: I hope she's OK.
JOEY: Yeah, I know exactly what she's goin' through.
MONICA: How do you know exactly what she's going through?
JOEY: She told us.
CHANDLER: So whaddya got there Monica?
MONICA: Just some stuff for the party.
ROSS: Yeah, what're you guys doin' here, aren't you supposed to be Christmas shopping?
 Tomorrow's Christmas Eve, what're ya
gonna do?
CHANDLER: Don't you have to be Claymation to say stuff like that?
RACHEL: Oh, by the way Mon, I don't think the mailman liked your cookies. Here are the
ornaments your mom sent. [hands her a smashed box]
MONICA: Well, maybe the mailman liked the cookies, we just didn't give him enough.
JOEY: Monica, pigeons learn faster that you.
[Ross approaches Rachel, away from everyone else.]
ROSS: Hey, Rach, you know what? I think, I think I know what'll make you feel better.
How 'bout you make a list about me.
RACHEL: Wha... forget it Ross, no, I am not gonna stand here and make a list of. . .
ROSS: C'mon Rachel.
 You
like me for what, a year, you didn't do anything about it.
ROSS: See there, you uhh, alright, ya, you did what I said.
RACHEL: Yeah, and you know what? You're right, I do feel better, thank you Ross. [she
walks off and Ross puts his hand to his hair]
[Scene: Back at Phoebe's. She is on the phone]
PHOEBE: Yeah, um, in Albany, can I have the number of Frank Buffay. . . OK, um, in Ithica.
. . alright, um, Saratoga. . . Oneonta.
PHOEBE: Hello grandma, if that is in fact your real name.
GRANDMOTHER: C'mon now Phoe, don't still be mad at me. How's it going?
PHOEBE: Well, not so good. Upstate's pretty big, he's pretty small, you do the math.
GRANDMOTHER: Well, I think you're better off without him.
PHOEBE: No I just, just wanted to know who he was, ya know.
GRANDMOTHER: I know. OK, I wasn't completely honest with you when I told you that, uh, I
didn't know exactly where he lived.
PHOEBE: Whattaya mean?
GRANDMOTHER: He lives at 74 Laurel Drive in Middletown. If you hit the Dairy Queen, you've
gone too far. You can take my cab.
PHOEBE: Wow. Thank you.
GRANDMOTHER: Now, remember, nobody else drives that cab.
PHOEBE: Uh-huh, got it. Ooh, I'm gonna see my dad.  Joey
walks up.]
JOEY: Phoebe here with the cab yet?
CHANDLER: Yeah, she, she brought the invisible cab. . . hop in.
JOEY: Well she better get here soon, the outlet stores close at 7.
CHANDLER: Hey, don't worry. I figure it'll be 2 hours to Phoebe's dad's house, they'll
meet, they'll chat, they'll swap life stories, we'll still have plenty of time.
[Phoebe drives up in the cab]
JOEY: Hey, here she comes.
Chandler: Hey.
JOEY: Hey.
[Phoebe runs over the curb. Joey gets in the back seat, Chandler in the front]
PHOEBE: Hey.
JOEY: Hey.
PHOEBE: Can you believe this. In, like, two hours I'm gonna have a dad. Eeeshk.
CHANDLER: Eeeshk.
JOEY: Yeah, big stuff.
PHOEBE: OK, let's go.
CHANDLER: OK.
PHOEBE: Alright, here, you have to hold this. [hands Chandler a piece of paper]
CHANDLER: OK. [reads paper] Brake left, gas right?
PHOEBE: Uh-huh, yeah, that's my cheat sheet.
CHANDLER: [grabs for seat belt] Where's my seat belt?
PHOEBE: Oh, no no, that side doesn't have one, the paramedics had to cut through it.
[Chandler jumps out of the car]
CHANDLER: [Chandler gets in the back seat] Hey!
JOEY: Hey. [Phoebe takes off, Joey and Chandler are thrown back in the seat]
[Scene: Monica and Rachel's apartment. Monica is preparing for the party with Ross
questioning her.]
ROSS: C'mon, just tell me, please, please.
MONICA: For the sixteenth time, no... I do not think you're obsessive.
[Rachel enters from her room]
RACHEL: Oh, gosh, it's hot in here.
MONICA: Rach, get the heat. [Rachel holds up her hand with wet fingernail polish] Ross,
could you turn the heat down please?
ROSS: Sure. By the way, there's a difference between being obsessive and. . .
MONICA: Ross, the heat!
ROSS: Fine, OK! Heat, heat, heat, and I'm the obsessive one. [goes to the radiator and
starts turning the knob] OK, this way is on, so this is. . . [breaks off the knob] off.
RACHEL: Did you just break the radiator?
ROSS: No, no, I was turnin' the knob and, and. . . here it is.
MONICA: Well put it back.
ROSS: It uhh, it won't go back.
RACHEL: I'll call the super.
MONICA: Here, let me try.
ROSS: Oh, oh that's right, I forgot about your ability to fuse metal.
MONICA: Hey, it's Funny's cousin, Not Funny.
RACHEL: [on phone] Hi, Mr. Treeger. Hi, it's Rachel Green from upstairs. Yes, somebody,
uh, broke our knob on the radiator and it's really hot in here. Yes, it's, it's hot enough
to bake cookies. Well, do you think we could have a new one by 6? Wha t, no, no, Tuesday,
we can't wait until Tuesday, we're having a party tonight.
ROSS: OK, tip the man.
MONICA: No, if he doesn't like our cookies, too bad, I am not gonna be blackmailed.
ROSS: Hey, here's a theme: Come on in, live like bacon.
[Scene: Outside Phoebe's dad's house. The cab pulls up.]
PHOEBE: Ooh, this is it, 74. [screeches to a halt, Joey and Chandler are thrown into the
plexiglass wall in the cab]
CHANDLER: Oh, so that's what this is for.
PHOEBE: Wow, this is it, I'm gonna meet my dad. This is like the biggest thing ever, huh.
CHANDLER: Yeah.
JOEY: Sure is.
PHOEBE: OK, here I go. I'm goin' in.
CHANDLER: Alright.
JOEY: Good luck Phoebs.
PHOEBE: OK, here I go. . . here I go. . . I'm goin'. [she just sits in the cab]
[Scene: Monica and Rachel's apartment. They are having their party. All the guests are
stripped down because of the heat.]
RACHEL: [answers door] Hi, welcome to our tropical Christmas party. You can put your coats
and sweaters and pants and shirts in the bedroom.
ROSS: [sitting at table talking to a girl] It's hard to tell because I'm sweating, but I
use exactly what the gel bottle says, an amount about the size of a pea. How, how can that
be too much?
MONICA: [carrying an ice cube tray] Ice, ice, ice squares anyone? Take a napkin. Alright.
ROSS: Monica, Monica, your guest are turning into jerky, OK.
MONICA: Really? I'm perfectly comfortable. [one of the guest opens the refrigerator] Hey,
hey, hey, get in line buddy, I was next. [she opens the refrigerator and leans into it]
RACHEL: [answering the door] Mr. Treeger.
MR. TREEGER: Uhh, you said there was a party.
RACHEL: Oh, yeah, well hey, welcome to our sauna.
MR. TREEGER: Ahh, is it hot? My body always stays cool, probably 'cause I have so much
skin. Hey, cheese!
[Ross is speaking to Monica and Rachel about tipping the super.]
ROSS: Alright, alright, here's the chance. Monica give him cash, Rachel give him your
earrings. Something, now, anything.
MONICA: No, I will not cave.
RACHEL: Yeah, I'm with Mon.
ROSS: Alright, alright, you know how you say I never seize the day? Well, alright, even
though he's your super, I'm seizing. [approaches Mr. Treeger] Mr. Treeger, here is 50
bucks, merry Christmas.
[Gives him the cash.]
MR.  Here's five back.
ROSS: No no, no, that, that's your Christmas tip, alright. Oh, hey, do you think there's a
chance you could fix that radiator now?
MR. TREEGER: No can do, like I told the girl, I can't get a new knob until Thursday.
MONICA: Ross.
ROSS: Yeah.
MONICA: [to Ross] Looks like he's playin' baseball.
ROSS: You mean hardball?
MONICA: Whatever.
RACHEL: What'cha gonna' do?
ROSS: Excuse me, I'm seizing. Mr. Treeger, here's another 50, happy Hanukkah. Will uh,
will this help with the knob getting?
MR. TREEGER: No, the place is not open 'till Tuesday. Am I not saying it right.
MONICA: So, wait, you really did like my cookies?
MR. TREEGER: Oh, yeah, they were so personal, really showed you cared.
RACHEL: Nice seizing. . . gel boy.
MR. TREEGER: [to Rachel who is standing under mistletoe] So, uh, is this, uh, mistletoe?
RACHEL: Huh-huh, no act--no, uhh, that, that is basil.
MR. TREEGER: Ahh, if it was mistletoe, I was gonna kiss ya.
RACHEL: Huh-hoo, yeah, no, it's still basil.
[Scene: Outside Phoebe's dad's house. Phoebe is running back to the cab.]
PHOEBE: OK.
JOEY: How far'd ya get?
PHOEBE: Mailbox.
CHANDLER: Alright, we're gettin' closer.
PHOEBE: Uh-huh.
JOEY: Phoebs, what's goin' on?
PHOEBE: No, it's just like, ya know, it's a whole mess of stuff, ya know. It's like,
yesterday, ya know, my dad was this, like, famous Burma tree surgeon guy and, ya know, now
he's a, a pharmacist guy and. . .
JOEY: Well, maybe he's, maybe he's this really cool pharmacist guy.
PHOEBE: Yeah, maybe, yeah. You know, and, and I'll knock on the door and, and he'll hug me
and I'll have a dad. Ya know and I'll, I'll go to his pharmacy and everyone will be really
nice to me 'cause, you know, I'm Franks daughter.
CHANDLER: Well, so why not go knock?
PHOEBE: Well, 'cause, I mean, what if, what if he's not this great dad guy?  You know what? I've
already lost a fake dad this week and I don't think I'm ready to lose a real one.
JOEY: Phoebs, that's OK. You took a big step today.
PHOEBE: Yeah?
CHANDLER: Yeah, and someday when you're ready, you'll make it past the hedges.
JOEY: Yeah, and when you do, he'll be lucky to have you.
PHOEBE: You guys. I'm sorry about your shopping.
CHANDLER: Oh, that's OK, we'll figure something out.
JOEY: Uh, listen Phoebs, I know you're not goin' in there but do you think it'd be alright
if I went in and used his bathroom? Oh, that's fine, never mind. Cool, snow, kinda like a
blank canvas.
[Scene: Monica and Rachel's apartment. Ross, Monica, and Rachel are sitting around after
the party. Chandler, Joey, and Phoebe enter.]

JOEY: Really, hey, you mind if I turn the heat down?
MONICA: Hey, we could have used that kind of thinkin' earlier.
ROSS: Hey, Phoebs, how'd it go.
PHOEBE: Oh, I couldn't go in.
MONICA: Honey, I'm sorry.
ROSS: Are you OK?
PHOEBE: Yeah, yeah, no it's OK 'cause, I mean, I know he's there, so, that's enough for
now.
CHANDLER: Hey, guys, it's after midnight, merry Christmas everyone. [Ross and Phoebe hug,
Monica and Rachel hug, Chandler is left standing]
JOEY: Hey, Monica, the knob was broken so I just turned it off from underneath, I hope
that's alright.
CLOSING TITLES
[Scene: Monica and Rachel's apartment. Joey and Chandler are giving out their Christmas
presents out of a cardboard box from a case of motor oil.]
JOEY: Rach, these are for you.
RACHEL: Wiper blades. I don't even have a car.
JOEY: No, but with this new car smell, you'll think you do.
CHANDLER: OK, Phoebs, your turn.
PHOEBE: Ahh, toilet seat covers! Is that what you were doing while I was getting gas?
JOEY: Uh-huh.
PHOEBE: You guuuyys.
JOEY: And for Ross, Mr. Sweet-tooth.
ROSS: You got me a cola drink?
CHANDLER: And, a lemon lime.
ROSS: Well this, this is too much, I feel like I should get you another sweater.
CHANDLER: And last but not least.
[Chandler and Joey give Monica a pack of condoms.]
JOEY: They're ribbed for your pleasure.
[Ross and Monica trade their gifts.]
END


You can now tell Google Assistant to order GoFood
by News DeskGoogle Assistant can now help you order meals from online food delivery service GoFood on the ride hailing application Gojek.
It was one of the new features announced at the Google for Indonesia event held in Jakarta on Wednesday.
"Google Assistant can also be used for other services on Gojek," said Nimesh Ranjan, Google Assistant Program and NBU lead.
Previously, the virtual digital assistant could open Gojek but was not able to carry out an order.
To use the new features, users must press the home button until colorful dots appear on the screen.
Then they can say, "OK Google, order [food name] on Gojek." They will be directed to the GoFood section of the app and can choose from a selection of restaurants.
[RA::Google in smartphone push with motion-sensing Pixel 4::https://www.thejakartapost.com/life/2019/10/16/google-in-smartphone-push-with-motion-sensing-pixel-4.html
Google Assistant can also help users get a lift from motorcycle taxi service GoRide.
Additionally, users can use Google Assistant to check their bank balance in BCA accounts.
Users can say, "OK Google, talk with Bank BCA to check my balance."
Ranjan said the upgraded Google Assistant allows users to delete their conversation history to enhance safety.
All the features are available in the Indonesian language. (gis/wng)


{% extends "modals/modal.html" %} {% block modalcontent %} {% include "forms/groupmembership.html" with form_id="add-gm-form" %} {% endblock %}


Below, you'll see the list of scripts that executed on the page. When the policy is active, some scripts will not run.


Off to a great start. Like this Redditor, I've also learned today that getting an #EOS account isn't as simple as generating a public/private key pair. You need someone else with an existing account (and EOS tokens) to create an account for you. Yes, that's right.


You also want to control what the user is allowed to do and what not. SapphireDb comes with some mechanisms to control that.
[QueryAuth]
, [CreateAuth]
, [UpdateAuth]
and [RemoveAuth]
[ActionAuth]
-attribute can be used on action handler classes or actions to control which user can do what.


{% load avatar nonce %}
To upload a photo, choose the file from your computer and click "Upload"
Under {{settings.MAX_AVATAR_PHOTO_KB}} kb, please.


| calcEffects {FSDM} | R Documentation |
calcRelationEffects
updates concept values by applying
relations to a set of concept values and changes to those concept values.
calcEffects(V_Cn, R_Cn, M)
V_Cn |
a numeric vector of values in the interval (0, 100] identifying the relative value of each concept. |
R_Cn |
a numeric vector of values identifying the proportional change in each value. |
M |
a list containing the FSDM model components |
Since most models include cycles, the model calculations must be iterated until the concept values change very little between iterations or until a maximum number of iterations has been completed. In each iteration, the proportional changes to concept values from their starting values are updated by applying the calcPropChange function to calculate the proportional change due to the proportional change in each of the anterior concepts affecting the concept and then adding up the proportional change differences. This is done for each of the concepts in the model. For example, if a posterior concept has 2 anterior concepts affecting it and if the change ratio from one of them is 1.2 (i.e. the posterior concept is 1.2 times its previous value) and the change ratio from the other is 1.3. Then the sum of the proportional change differences is 0.5 and the total proportional change is 1.5.
a list having 3 named components. Ratio is the ratio of change of the 'independent' concepts. Values is a numeric vector of the value of concepts after 'independent' concepts have been incremented. MaxValueChg is a number identifying the maximum percentage change in the values of concepts between starting and ending values.


{% extends "base.html" %} {% block content %} {% if form.errors %}
Your username and password didn't match. Please try again.
{{ form.username }}
{{ form.password }}


--- extends: root.j2 title: Dota 2 Interactive Map v4 description: Dota 2 Interactive Map. View, pan, and zoom in on any part of the Dota 2 map. Turn on various overlays for more information, place wards to see sight ranges, and measure distances. active_menu: page-interactivemap header: Interactive Map --- {% block head %} {{ super() }} {% endblock head %} {% block body %}
Settings Menu (cog)
Zoom In/Out (+/-)
Mode Options
With tree overlay on, click trees to toggle their cut state. Affects vision simulation.
Click wards to remove them.
Opened from the cog in the toolbar.
Mode Options - Same as in toolbar.
Lane Animation - Toggle lane animation overlay.
Radius - Vision simulation radius.
Night - Toggles day/night for building vision simulation.
Darkness - Toggles darkness for vision simulation.
MS - Movement speed. Used in measure mode for calculating travel time.
Version - Select map data version.
Reset Map
Toggle map overlays.
Overlays
Structures
Neutral
Vision Range
Base Layers


L'Homme
Yves Saint Laurent
L'Homme by Yves Saint Laurent is a woody yet floral fragrance with an overall musky body.
It has top notes of ginger, bergamot, and lemon;
Middle notes of spice, white pepper, basil and violet leaf;
Base notes of iris, cedar, and tonka bean.


I created an application and it was kind of a game, I was really proud of myself creating something complex like that. I wrote it in JAVA in object Oriented Programming class, it's called Vegas baby Vegas and it's basically a spinning machine and you would gamble money to see if the colors or shape matches then you would win some money and it will added in to your balance. I will share a link below to github where it is uploaded. It's in SlotMachinePart2 folder.
For code, click here!


My name is Kirsten, and I'm from New York City. I'm a senior at Cornell University studying Electrical Engineering. I also have minors in Classics and History, with a focus on Roman literature and history. In the Fall of 2021, I will be returning to Cornell to pursue a Master's Degree in Biomedical Engineering. I have a very diverse skill set in both engineering and the humanities. At Cornell, I play with the Women's Club Soccer Team, of which I am the captain and former president. My leadership skills extend to my community involvement. I am a volunteer firefighter with the Cayuga Heights Fire Department, where I am also involved with training new members. I am interested in medical devices, bio-inspired robotics, and creating technology that makes a difference.
If you are looking to learn more about my experiences or would like to collaborate on future projects, please reach out to me via email. I can be reached at kes334@cornell.edu.


|
Intel HEXL
Intel Homomorphic Encryption Acceleration Library, accelerating the modular arithmetic operations used in homomorphic encryption.
|
Classes | |
| class | NTT |
| Performs negacyclic forward and inverse number-theoretic transform (NTT), commonly used in RLWE cryptography. More... | |
Enumerations | |
| enum | CMPINT { CMPINT::EQ = 0, CMPINT::LT = 1, CMPINT::LE = 2, CMPINT::FALSE = 3, CMPINT::NE = 4, CMPINT::NLT = 5, CMPINT::NLE = 6, CMPINT::TRUE = 7 } |
| Represents binary operations between two boolean values. More... | |
Functions | |
| void | EltwiseAddMod (uint64_t *result, const uint64_t *operand1, const uint64_t *operand2, uint64_t n, uint64_t modulus) |
| Adds two vectors elementwise with modular reduction. More... | |
| void | EltwiseCmpAdd (uint64_t *result, const uint64_t *operand1, CMPINT cmp, uint64_t bound, uint64_t diff, uint64_t n) |
| Computes element-wise conditional addition. More... | |
| void | EltwiseCmpSubMod (uint64_t *result, const uint64_t *operand1, CMPINT cmp, uint64_t bound, uint64_t diff, uint64_t modulus, uint64_t n) |
| Computes element-wise conditional modular subtraction. More... | |
| void | EltwiseFMAMod (uint64_t *result, const uint64_t *arg1, uint64_t arg2, const uint64_t *arg3, uint64_t n, uint64_t modulus, uint64_t input_mod_factor) |
Computes fused multiply-add (arg1 * arg2 + arg3 ) mod modulus element-wise, broadcasting scalars to vectors. More... | |
| void | EltwiseMultMod (uint64_t *result, const uint64_t *operand1, const uint64_t *operand2, uint64_t n, uint64_t modulus, uint64_t input_mod_factor) |
| Multiplies two vectors elementwise with modular reduction. More... | |
| void | EltwiseReduceMod (uint64_t *result, const uint64_t *operand, uint64_t modulus, uint64_t n, uint64_t input_mod_factor, uint64_t output_mod_factor) |
| Performs elementwise modular reduction. More... | |
| CMPINT | Not (CMPINT cmp) |
| Returns the logical negation of a binary operation. More... | |
|
strong |
| void intel::hexl::EltwiseAddMod | ( | uint64_t * | result, |
| const uint64_t * | operand1, | ||
| const uint64_t * | operand2, | ||
| uint64_t | n, | ||
| uint64_t | modulus | ||
| ) |
Adds two vectors elementwise with modular reduction.
| [out] | result | Stores result |
| [in] | operand1 | Vector of elements to add. Each element must be less than the modulus |
| [in] | operand2 | Vector of elements to add. Each element must be less than the modulus |
| [in] | n | Number of elements in each vector |
| [in] | modulus | Modulus with which to perform modular reduction. Must be in the range \([2, 2^{63} - 1]\) |
Computes \( operand1[i] = (operand1[i] + operand2[i]) \mod modulus \) for \( i=0, ..., n-1\).
| void intel::hexl::EltwiseCmpAdd | ( | uint64_t * | result, |
| const uint64_t * | operand1, | ||
| CMPINT | cmp, | ||
| uint64_t | bound, | ||
| uint64_t | diff, | ||
| uint64_t | n | ||
| ) |
Computes element-wise conditional addition.
| [out] | result | Stores the result |
| [in] | operand1 | Vector of elements to compare; stores result |
| [in] | cmp | Comparison operation |
| [in] | bound | Scalar to compare against |
| [in] | diff | Scalar to conditionally add |
| [in] | n | Number of elements in operand1 |
Computes result[i] = cmp(operand1[i], bound) ? operand1[i] + diff : operand1[i] for all \(i=0, ..., n-1\).
| void intel::hexl::EltwiseCmpSubMod | ( | uint64_t * | result, |
| const uint64_t * | operand1, | ||
| CMPINT | cmp, | ||
| uint64_t | bound, | ||
| uint64_t | diff, | ||
| uint64_t | modulus, | ||
| uint64_t | n | ||
| ) |
Computes element-wise conditional modular subtraction.
| [out] | result | Stores the result |
| [in] | operand1 | Vector of elements to compare |
| [in] | cmp | Comparison function |
| [in] | bound | Scalar to compare against |
| [in] | diff | Scalar to subtract by |
| [in] | modulus | Modulus to reduce by |
| [in] | n | Number of elements in operand1 |
Computes operand1
[i] = (cmp
(operand1
, bound
)) ? (operand1
- diff
) mod modulus
: operand1
for all i=0, ..., n-1
| void intel::hexl::EltwiseFMAMod | ( | uint64_t * | result, |
| const uint64_t * | arg1, | ||
| uint64_t | arg2, | ||
| const uint64_t * | arg3, | ||
| uint64_t | n, | ||
| uint64_t | modulus, | ||
| uint64_t | input_mod_factor | ||
| ) |
Computes fused multiply-add (arg1
* arg2
+ arg3
) mod modulus
element-wise, broadcasting scalars to vectors.
| [out] | result | Stores the result |
| [in] | arg1 | Vector to multiply |
| [in] | arg2 | Scalar to multiply |
| [in] | arg3 | Vector to add. Will not add if arg3 == nullptr |
| [in] | n | Number of elements in each vector |
| [in] | modulus | Modulus with which to perform modular reduction. Must be in the range \( [2, 2^{61} - 1]\) |
| [in] | input_mod_factor | Assumes input elements are in [0, input_mod_factor * p). Must be 1, 2, 4, or 8. |
| void intel::hexl::EltwiseMultMod | ( | uint64_t * | result, |
| const uint64_t * | operand1, | ||
| const uint64_t * | operand2, | ||
| uint64_t | n, | ||
| uint64_t | modulus, | ||
| uint64_t | input_mod_factor | ||
| ) |
Multiplies two vectors elementwise with modular reduction.
| [in] | result | Result of element-wise multiplication |
| [in] | operand1 | Vector of elements to multiply. Each element must be less than the modulus. |
| [in] | operand2 | Vector of elements to multiply. Each element must be less than the modulus. |
| [in] | n | Number of elements in each vector |
| [in] | modulus | Modulus with which to perform modular reduction |
| [in] | input_mod_factor | Assumes input elements are in [0, input_mod_factor * p) Must be 1, 2 or 4. |
Computes result
[i] = (operand1
[i] * operand2
[i]) mod modulus
for i=0, ..., n
- 1
| void intel::hexl::EltwiseReduceMod | ( | uint64_t * | result, |
| const uint64_t * | operand, | ||
| uint64_t | modulus, | ||
| uint64_t | n, | ||
| uint64_t | input_mod_factor, | ||
| uint64_t | output_mod_factor | ||
| ) |
Performs elementwise modular reduction.
| [out] | result | Stores the result |
| [in] | operand | |
| [in] | n | Number of elements in operand |
| [in] | modulus | Modulus with which to perform modular reduction |
| [in] | input_mod_factor | Assumes input elements are in [0, input_mod_factor * p) Must be 0, 1, 2 or 4. input_mod_factor=0 means, no knowledge of input range. Barrett reduction will be used in this case. input_mod_factor >= output_mod_factor unless input_mod_factor == 0 |
| [in] | output_mod_factor | output elements will be in [0, output_mod_factor
|


Please reload the page (f5) a few times, that oughta fix it.
Left/Right/A/D = Movement
Tab = beam up/down from UFO
Space = give speech or fire UFO laser to collect human-suit
Green bar = voters for the Reptilian Illuminati Party
Red bar = voters for the Grand Ancients Party
Blue bar = voters for the Demopublican SuperPAX Party
Brown bar = The durability of your human-suit; if it drops too low you'll be seen as a reptilian
Orange bar = The level of fear among the citizens
To win: Get over 50% of the vote for the Reptilian Illuminati Party (green)!


Javascript Objects
Today we'll be making a JavaScript object cheat sheet. Really need some clarification on this so lets start! The object we'll be working with is created in the first line of code. Pretty simple right? So what happens after that? We add a new property to the object and add our first elements.
The object looks like this now when you use console.log to display it.
Something important to know is that objects are addressed by reference. Take a look at the example below:
anotherCar didn't make a copy of car and changed it, it "refered" to car and changed it aswell. interesting stuff right?
I'm a friend of knowing useless stuff so here you go: When we create a new object we can inherit all properties of another.
Bottom line is, the inheritance doesn't change anything since we must call the property again anyways, which will create it if it doesn't exist already. Pretty useless huh? :)
Just to make sure you understood, creating new properties in an object:
deleting properties:
Accessing properties (any will work):
looping through object properties (also works for nested objects!)
Something else to remember is that we can do a lot of different thing with JS objects. For example properties of an object can hold functions:
Accessing doesn't change for this. I guess it's good to simply remember that objects can be used for a crazy amout of different things and is very flexible in general. Really like using them.


'Becket'
A retrospective movie review by Walter Frith
How many times in film histroy have actors and actresses split the vote when it's time to vote for the Academy Award? Several. 1950. The Best Actress category. Anne Baxter and Bette Davis nominated for 'All About Eve'. Both lost to Judy Holliday for 'Born Yesterday'. 1953. The Best Actor category. Montgomery Clift and Burt Lancaster nominated for 'From Here to Eternity'. Both lost to William Holden for 'Stalag 17'. Want a more recent example? 1986. The Best Supporting Actor category. Tom Berenger and Willem Dafoe nominated for 'Platoon'. Both lost to Michael Caine for 'Hannah and Her Sisters'. Last but not least, 1991. The Best Actress category. Geena Davis and Susan Sarandon nominated for 'Thelma and Louise'. Both lost to Jodie Foster for 'The Silence of the Lambs.' The point here is that sometimes when casting a ballot in deciding who the best really is, someone is bound to get left out.
Two of the finest actors to ever hit the motion picture screen never won an Academy Award. They are Richard Burton and Peter O'Toole. Burton died in 1984 and while Peter O'Toole is still around, he is hardly active in motion pictures anymore. His last nomination came in 1982 for 'My Favorite Year'. That film was an entertaining little farce but a cake walk for O'Toole. Of all his nominations he should have won for his motion picture debut in 1962 for 'Lawrence of Arabia' but lost to Gregory Peck for 'To Kill a Mockingbird'. Burton should have walked away with one for 'The Spy Who Came In from the Cold' in 1965 but lost to Lee Marvin for 'Cat Ballou'.
The two of them star in 1964's 'Becket' for which they were both nominated for Best Actor but lost to Rex Harrison for 'My Fair Lady'. 'Becket' is a towering example of movie making at its most subtle yet it still manages to overcome any hint of tedium as Burton and O'Toole endure loyalty to their characterizations practically unmatched by any other duo who have played screen adversaries. Set in th 11th century, the real story begins with King Henry II (O'Toole) visiting the tomb of his once best friend, the Archbishop of Canterbury, Thomas Becket (Burton). The film then shifts back in time to tell their story beginning early in their lives. As young men they are always together as best friends. O'Toole a future king of England and Burton a deeply religious man who will devote his life to God. As the film progresses there is the talk of war with France, the under handed dealings of the powerful and an eventual breakdown in their relationship when Burton is hand picked by O'Toole once he is king to make Burton the new Archbishop. O'Toole has it in his mind that Burton will do anything for him since they are friends but after Burton demonstrates that his loyalty is to the church over his king, things go terribly wrong.
Directed by Peter Glenville from a screenplay by Edward Anhalt (who won the Oscar) based on the play from Jean Anouilh, 'Becket' is not only a triumphant display of academics but has striking cinematography by Geoffrey Unsworth who filmed the entire piece in a manner similar to recalling old paintings which are displayed so prominently in some of the finest museums in the world. He captures details of expression and frankness splendidly. 'Becket' is a perfect film for that rainy weekend afternoon and is for those with a constructive mind in dealing with film while others will mistake it as being stiff and unappealing.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


S2 Fig
Differences in flagellum gene expression in the presence of urea. The genes with green boxes were significantly down-regulated. Legend represents the log 2(fold change) of differentially expressed genes. (TIF)
Click here for additional data file.


--- layout: default permalink: lpc1347-videos title: "Zeeuino-XC - LPC1347" ---
These are quick start videos to show how to use Zeeduino port for LPC1347.
You will need LPCXpresso IDE and LPCXpresso LPC1347 board.
Videos are best viewed in fullscreen mode to be able to see smaller details.


I once got blocked on a simple problem when I was writing the code for an exercise, after writing the code, I got an error message
and just couldn’t seem to get past it no matter what I tried. Every time I tired a different solution, I was getting more and more
frustrated as it came back with an error. I gave up and took the dog for a walk instead to freshen my mind. As much as I didn’t want
to I knew it was now time to have another crack as I had calmed down. I looked at the error and looked at the code and back and
forth multiple times. I could tell something wasn’t right but it was a matter of figuring it out. Then BOOM it hit me I had spelt
part of a code incorrect and therefore no matter whatever other changes I had made to get it to work, with an incorrectly spelt part
of the code, it wasn’t going to work. I felt extremely dumb but I will never forget this moment again. I am now learning to take a
deep breath when I see error codes and if I feel myself get more and more frustrated, then to walk away from the screen, have a
change in activity and then come back and try again with a fresh mind. Im more likely to work more efficiently this way and be more
successful, quicker.
Then I was doing an exercise there were lots of moments where I just didn’t know where to start or how to start and also moments
where id get to a certain point and then not know how proceed. Id know how to explain what I needed to do verbally but writing the
code was a problem. I broke the problem to the smallest component as possible and if I still didn’t know I started googling (because
its easier to research small components vs big ones). If it was a task that was repeated, then I would figure out one component and
that would then help me for the other parts where the same code is used and adapted slightly. Eventually piecing the puzzle back into
its whole form, bit by bit, I was able to complete the exercise. What helped me achieved the above was by planning out the whole code
from the start in words which meant i could then use words to research online.
Pseudocode-
This worked really well for me and was a means of helping me research issues. It helped me come up with a plan for writing the code.
It helped me understand what I am trying to achieve before getting stuck in.
Trying something-T
This was the biggest step of all was to take a leap of faith and try. If I tried too many times though without success, I start
getting frustrated.
Rubber ducky method-
Hmm, I didn’t really use this method but definitely something id like to try.
Reading error messages-
This one was the biggest learning curve for me not to freak out/get frustrated by error codes but to read and interpret them and
use them to identify issues with your code.
Console.logging-
This helped me get a good indication on if I was making progress in the right direction or not.
Googling-
This is my most confident one and works most of the time to get my solution.
Asking your peers for help-
This was really good for the times that online wasn’t able to help although sometimes the way that things are explained can make a
difference.
Asking coaches for help-
This helped when there was real self doubt of continuing and helping to keep momentum sticking by the process of the way I was
feeling.
Improving your process with reflection-
Reflection helped solidify concepts in my head and also helped me remember what I had learnt to then use further.
Nimesh Govind
Dev Academy Student | Auckland, New Zealand
Phone<PHONE_NUMBER>
Email nimeshgovind74@gmail.com


We'll get it to ya faster than you can say Michelangelo! Your order of one radical pizza comes to just $!


DataBase Tags Examples
Query Iterate
Example showing how to iterate over the result of a query.
Update
Example showing several database updates.
Direct Query
Example showing how the the result of a query can be directly accessed.
Query Parameters
Example showing how query parameters can be used to create an SQL query.
Transaction
Example showing how to setup transactions.
Driver Setup
A sample page showing how a driver can be configured. NOTE: this is meant for prototyping and simple applications.


More than 2,000 koalas dead after Australian bush fires
by Elisa MenendezThousands of koala bears have tragically died and more are feared dead as the Australian bush fires continue to rip through New South Wales.
Experts said the blaze has ravaged koala habitat so rapidly that ‘we will probably never find the bodies’, after thousands of hectares of habitat were destroyed.
An urgent parliament inquiry is expected to hear evidence on Monday that more than 2,000 have died after succumbing to their horrific burns.
Around 90 fires are still ripping through NSW – half of which are thought to be uncontained – and the country is braced for a heatwave this week.
Experts fear more of the vulnerable animals’ habitat will be burnt to the ground, as the ‘mega fire’ on the outskirts of Sydney measuring more than 335,000 hectares, could take weeks to put out.
Mark Graham, Nature Conservation Council ecologist, told the hearing that koalas ‘really have no capacity to move fast enough to get away’.
As the crown fires are spreading from treetops, they have no way of getting to the ground in time to avoid injury.
Mr Graham said: ‘The fires have burned so hot and so fast that there has been significant mortality of animals in the trees, but there is such a big area now that is still on fire and still burning that we will probably never find the bodies’.
‘We’ve lost such a massive swath of known koala habitat that I think we can say without any doubt there will be ongoing declines in koala populations from this point forward,’ he added.
Volunteers from the The Port Macquarie Koala Hospital have been working alongside National Parks and Wildlife Service crews searching for koalas, following weeks of devastating fires across NSW and Queensland.
Heartbreaking images and videos of the bandaged animals crying out in pain have have devastated people across the globe.
One woman was praised for heroically ripping off her top to wrap up a koala and rescue it from the top of a tree, where it was stuck surrounded by huge flames closing in.
Koalas are listed as vulnerable in NSW, Queensland and the Australian Capital Territory, mostly due to habitat clearing.
The hearing is set to analyse the extent of damage done to the koala population, while ecologists warned there was no planning in place to rescue the animals.
Science for Wildlife executive director, Dr Kellie Leigh, told the hearing: ‘We’re getting a lot of lessons out of this and it’s just showing how unprepared we are.
‘There’s no procedures or protocols in place… even wildlife carers don’t have protocols for when they can go in after fire.’
She added: ‘We’re just helpless at the moment. [With] business as usual we have no way to deal with this, no way to manage it.’
North East Forest Alliance president and ecologist Dailan Pugh said more than 2,000 koalas are estimated to have died in the fires, while up to one-third of the habitat has been lost on the north coast.
On Sunday, Cate Faehrmann, chair of the inquiry, said the ‘devastating’ loss of so many animals should push authorities to introduce stronger conservation efforts.
She said: ‘Hearing that we have lost up to a third of koala habitat and more than 2,000 koalas on the north coast is utterly devastating and should be a wake-up call for this government’.
Fires are raging across the states of New South Wales, Queensland, Victoria, South Australia, Western Australia and Tasmania.
The ‘mega fire’ on the outskirts of Sydney has been caused by several fires merging into one.
Bushfires are common in Australia but scientists say this year’s season has come earlier and with more intensity due to a prolonged drought and climatic conditions fuelled by global warming.


/** @module */
const R = require('ramda')
const Pose = require('./Pose')
/** @see module:engine.move */
function move (pose) {
return pose && Pose(
pose.x + (2 - pose.f) % 2,
pose.y + (1 - pose.f) % 2,
pose.f,
pose
)
}
/**
* Calculate a turn
*
* If the initial pose is unset, the result will be also
*
* @param {int} Δf - The change in f, how much to turn
* @param {module:Pose.Pose} pose - The pose before turning
* @returns {module:Pose.Pose} The pose after turning
*/
function turn (Δf, pose) {
return pose && Pose(
pose.x,
pose.y,
(pose.f + Δf + 4) % 4,
pose
)
}
module.exports = {
/**
* Calculate the pose after a place
*
* This function is curried
*
* @function
* @param {int} x - Horizontal position, between 0-4 inclusive, 0 is south
* @param {int} y - Vertical position, between 0-4 inclusive, 0 is west
* @param {int} f - Facing/orientation , between 0-3 inclusive
* @param {module:Pose.Pose} pose - The pose before placing
* @returns {module:Pose.Pose} The pose after
*/
place: R.curry(Pose),
/**
* Calculate the pose after a move
*
* @function
* @param {module:Pose.Pose} pose - The pose before moving
* @returns {module:Pose.Pose} The pose after
*/
move: move,
/**
* Calculate the pose after a left turn
*
* @see module:engine~turn
* @see module:engine.right
*
* @function
* @param {module:Pose.Pose} pose - The pose before turning
* @returns {module:Pose.Pose} The pose after turning
*/
left: R.partial(turn, [-1]),
/**
* Calculate the pose after a right turn
*
* @see module:engine~turn
* @see module:engine.left
*
* @function
* @param {module:Pose.Pose} pose - The pose before turning
* @returns {module:Pose.Pose} The pose after turning
*/
right: R.partial(turn, [+1]),
/**
* Calculate the pose after a report, this is a no-op
*
* @function
* @param {module:Pose.Pose} pose - The pose before
* @returns {module:Pose.Pose} The pose after
*/
report: R.identity
}


User Game Experience is fondamental for a good application
The best way to start coding are design patterns applied in several coding languages
With those definition languages, Web will not be the same
An eye very opened on what data you need and where you can access data: Cloud is the answer
High security profiled and reliability on your data and your know-how


{% extends "base_site.html" %} {% load staticfiles %} {% block title %}Contact Us - Talking Scores (Beta){% endblock %} {% block meta-description %}We welcome your comments / questions / bug reports - Talking Scores - an open source project to convert MusicXML files to a spoken representation.{% endblock %} {% block content %}
Please do feel free to contact us with questions / bug reports / feature requests etc - or even just to let us know if you find this project useful! It is encouraging to hear from users - thank you!
Our email address is<EMAIL_ADDRESS>If you choose to contact us, we will try to reply in a timely manner. We will most likely contact you again, some time later, when we have addressed your question more fully.
We will not pass your contact details on to anyone else or use them for any other purpose. For more information - see our Privacy Policy.


{{/* Copyright 2016 Euan James Hunter unitcapturereduce.html: html/template file for representing armatools/unitcapturereduce with armatoolsserver Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */}}
{{.Error}}
Capture your animation with BIS_fnc_UnitCapture.
Paste the output into the text area above.
Set the allowed error threshold. Can be any percentage between 0 and 100 inclusive. A larger value increases the scope for reduction but decreases animation quality.
Press submit. The above text area will now contain the reduced version of the entered UnitCapture output.
Enter the threshold and press submit again to attempt to reduce it further (at the cost of quality).
Tip: An error threshold of 100% and 2 or 3 repeated applications can still yield high animation quality
Available on GitHub under the Apache 2.0 license
Website design inspired by MFW and variants Better MFW and Best MFW
Author: Euan "SamLex/Lexer" Hunter
Last updated: 11/09/2016