Incorporating context into word embeddings - as exemplified by BERT, ELMo, and GPT-2 - has proven to be a watershed idea in NLP. Replacing static vectors (e.g., word2vec) with contextualized word representations has led to significant improvements on virtually every NLP task.
But just how contextual are these contextualized representations?
Consider the word ‘mouse’. It has multiple word senses, one referring to a rodent and another to a device. Does BERT effectively create one representation of ‘mouse’ per word sense (left) ? Or does BERT create infinitely many representations of ‘mouse’, each highly specific to its context (right)?
In our EMNLP 2019 paper, “How Contextual are Contextualized Word Representations?”, we tackle these questions and arrive at some surprising conclusions:
-
In all layers of BERT, ELMo, and GPT-2, the representations of all words are anisotropic: they occupy a narrow cone in the embedding space instead of being distributed throughout.
-
In all three models, upper layers produce more context-specific representations than lower layers; however, the models contextualize words very differently from one another.
-
If a word’s contextualized representations were not at all contextual, we’d expect 100% of their variance to be explained by a static embedding. Instead, we find that - on average - less than 5% of the variance can be explained by a static embedding.1
-
We can create a new type of static embedding for each word by taking the first principal component of its contextualized representations in a lower layer of BERT. Static embeddings created this way outperform GloVe and FastText on benchmarks like solving word analogies!2
Going back to our example, this means that BERT creates highly context-specific representations of the word ‘mouse’ instead of creating one per word sense. Any static embedding of ‘mouse’ would account for very little of the variance in its contextualized representations. However, if we picked the vector that did maximize the variance explained, we would get a static embedding that is much better than the one provided by GloVe or FastText!3
Measures of Contextuality
What does contextuality look like?
A dog is trying to get bacon off its back.
== implies that there is no contextualization (i.e., what we’d get with word2vec). != implies that there is some contextualization. The difficulty lies in quantifying the extent to which this occurs. Since there is no definitive measure of contextuality, we propose three new ones:
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Self-Similarity (SelfSim): The average cosine similarity of a word with itself across all the contexts in which it appears, where representations of the word are drawn from the same layer of a given model. For example, we would take the mean of cos(, ) over all unique pairs to calculate (‘dog’).
-
Intra-Sentence Similarity (IntraSim): The average cosine similarity between a word and its context. For the first sentence, where context vector :
helps us discern whether the contextualization is naive - simply making each word more similar to its neighbors - or whether it is more nuanced, recognizing that words occurring in the same context can affect each other while still having distinct semantics.
-
Maximum Explainable Variance (MEV): The proportion of variance in a word’s representations that can be explained by their first principal component. For example, (‘dog’) would be the proportion of variance explained by the first principal component of , , and every other instance of ‘dog’ in the data. (‘dog’) = 1 would imply that there was no contextualization: a static embedding could replace all the contextualized representations. Conversely, if (‘dog’) were close to 0, then a static embedding could explain almost none of the variance.
Note that each of these measures is calculated for a given layer of a given model, since each layer has its own representation space. For example, the word ‘dog’ has different self-similarity values in Layer 1 of BERT and Layer 2 of BERT.
Adjusting for Anisotropy
When discussing contextuality, it is important to consider the isotropy of embeddings (i.e., whether they’re uniformly distributed in all directions).
In both figures below, (‘dog’) = 0.95. The image on the left suggests that ‘dog’ is poorly contextualized. Not only are its representations nearly identical across all the contexts in which it appears, but the high isotropy of the representation space suggests that a self-similarity of 0.95 is exceptionally high. The image on the right suggests the opposite: because any two words have a cosine similarity over 0.95, ‘dog’ having a self-similarity of 0.95 is no longer impressive. Relative to other words, ‘dog’ would be considered highly contextualized!
To adjust for anisotropy, we calculate anisotropic baselines for each of our measures and subtract each baseline from the respective raw measure.4
But is it even necessary to adjust for anisotropy? Yes! As seen below, upper layers of BERT and GPT-2 are extremely anisotropic, suggesting that high anisotropy is inherent to – or at least a consequence of – the process of contextualization:
Context-Specificity
On average, contextualized representations are more context-specific in higher layers. As seen below, the decrease in self-similarity is almost monotonic. This is analogous to how upper layers of LSTMs trained on NLP tasks learn more task-specific representations (Liu et al., 2019). GPT-2 is the most context-specific; representations in its last layer are almost maximally context-specific.
Stopwords such as ‘the’ have among the lowest self-similarity (i.e., the most context-specific representations). The variety of contexts a word appears in, rather than its inherent polysemy, is what drives variation in its contextualized representations. This suggests that ELMo, BERT, and GPT-2 are not simply assigning one representation per word sense; otherwise, there would not be so much variation in the representations of words with so few word senses.
Context-specificity manifests very differently in ELMo, BERT, and GPT-2. As seen below, in ELMo, words in the same sentence are more similar to one another in upper layers. In BERT, words in the same sentence are more dissimilar to one another in upper layers but are on average more similar to each other than two random words. In contrast, for GPT-2, word representations in the same sentence are no more similar to each other than randomly sampled words. This suggests that BERT and GPT-2’s contextualization are more nuanced than ELMo’s, as they seem to recognize that words appearing in the same context do not necessarily have a similar meaning.
Static vs. Contextualized
On average, less than 5% of the variance in a word’s contextualized representations can be explained by a static embedding. If a word’s contextualized representations were not at all contextual, we would expect their first principal component to explain 100% of the variance. Instead, less than 5% of the variance can be explained on average. This 5% threshold represents the best-case scenario, where the static embedding is the first principal component. There is no theoretical guarantee that a GloVe vector, for example, is similar to the static embedding that maximizes the variance explained. This suggests that BERT, ELMo, and GPT-2 are not simply assigning one embedding per word sense: otherwise, the proportion of variance explained would be much higher.
Principal components of contextualized representations in lower layers of BERT outperform GloVe and FastText on many static embedding benchmarks. This method takes the previous finding to its logical conclusion: what if we created a new type of static embedding for each word by simply taking the first principal component of its contextualized representations? It turns out that this works surprisingly well. If we use representations from lower layers of BERT, these principal component embeddings outperform GloVe and FastText on benchmark tasks covering semantic similarity, analogy solving, and concept categorization (see table below).
For all three models, principal component embeddings created from lower layers are more effective than those created from upper layers. Those created using GPT-2 perform markedly worse than those from ELMo and BERT. Given that upper layers are much more context-specific than lower layers, and given that GPT-2’s representations are more context-specific, this suggests that principal components of less context-specific representations are more effective on these tasks.
Conclusion
In ELMo, BERT, and GPT-2, upper layers produce more context-specific representations than lower layers. However, these models contextualize words very differently from one another: after adjusting for anisotropy, the similarity between words in the same sentence is highest in ELMo but almost non-existent in GPT-2.
On average, less than 5% of the variance in a word’s contextualized representations can be explained by a static embedding. Even in the best-case scenario, static word embeddings would thus be a poor replacement for contextualized ones. Still, contextualized representations can be used to create a more powerful type of static embedding: principal components of contextualized representations in lower layers of BERT are much better than GloVe and FastText! If you’re interested in reading more along these lines, check out:
- The Dark Secrets of BERT (Rogers et al., 2019)
- Evolution of Representations in the Transformer (Voita et al., 2019)
- Cross-Lingual Alignment of Contextual Word Embeddings (Schuster et al., 2019)
- The Illustrated BERT, ELMo, and co. (Alammar, 2019)
Acknowledgements
Many thanks to Anna Rogers for live-tweeting this paper during EMNLP 2019. Special thanks to John Hewitt, Nelson Liu, and Krishnapriya Vishnubhotla for their comments on this blog post.
-
This was calculated after adjusting for the effect of anisotropy. ↩
-
The fact that arithmetic operators can be applied to embedding spaces is a hallmark of word vectors. Still, the ability to solve word analogies should not be treated as a perfect proxy for embedding quality (see Schluter, 2018; Rogers et al., 2017). To understand the theory behind when word analogies hold, see Ethayarajh et al., 2019. ↩
-
Provided we use the contextualized representations from lower layers of BERT (see the section titled ‘Static vs. Contextualized’). ↩
-
For self-similarity and intra-sentence similarity, the baseline is the average cosine similarity between randomly sampled word representations (of different words) from a given layer’s representation space. For , the baseline is the variance explained by the first principal component of uniformly randomly sampled representations. See the paper for details. ↩


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{% extends "base.html" %} {% block title %}YouTube | DEVILS' ADVOCATE{% endblock %} {% block content %}
If you want to write an article for our next issue, fill out the form below. We publish articles every two weeks and recommend articles to be around 400 words in length. If you have any questions about writing for the newspaper reach out to the editors-in-chief (Evan-Carlo Fowler, Jeanette Nguyen, Zach Beischer), a section editor of the section you want to write for (found on the masthead), or message us on instagram!


On Tuesday, July 30th, we had an AMA session with Fusion Foundation, the technology environment that offers a new forward-thinking application or cost-saving solution for business, in our Telegram Chat. Our guests were Dejun (DJ) Qian, Fusion Founder, John Liu, Product Officer, and Yona Takac, Community Manager. Here are the essential points of the session:
Please, welcome Dejun (DJ), John (J), Yona (Y) and the questions from our Telegram chat members (Q).
Q: What Fusion does in crypto world?
DJ: Fusion is providing a protocol and infrastructure of future finance. Finance institutions could use fusion to connect value and create financial instruments easily, even some self-created financial instruments.
Q: How your platform works? Please explain your economic model?
Y: Fusion is a non-profit foundation. The Fusion network is powered by our native token ‘FSN’, which is used as the gas for transactions. The FSN token is also used to secure a DCRM license for projects that want to use DCRM technology off the Fusion Blockchain.
Q: What separates Fusion from other projects?
Perhaps we can start from the beginning, how did you guys come to be and what core problems are you seeking to solve?
DJ: Good question! From the very beginning, we asked ourselves, what is the biggest problem in the financial industry? Any transaction in today's financial world needs centralized custody. The stock exchange needs custody, selling house needs custody, bond trading needs custody as well. Even our today's crypto exchange, we also need to deposit our crypto to those exchanges. What if we could build a decentralized custody service? No one or no institution could hack it. Any two parties, they want to exchange two types of assets, they don't need intermediary anymore. Then we build DCRM, and that's the base of fusion.
Q: How can we earn rewards by setting up a Fusion node? What is the average rate of return that we can expect with our staked assets? Will we be able to stake by using wallets, such as Atomic Wallet ($AWC)?
DJ: setting up a node is not that difficult, the return rate is really impressive. currently around 44% annually.
Q: Does fusion personally plan on expanding on use cases such as the OTC derivatives market, or do you hope someone creates a DApp on the fusion protocol?
Y: We are actively looking for partners to extend out both the OTC and OTC derivatives market. It is one of our strategic product goals in Q4 as the quantum swap + time lock market is already a full-fledged, decentralized OTC market.
Q: Your focus is on integrators, who help you increase adoption and bring new users and clients to the blockchain. How do you ensure anyone can use your blockchain? Any new approach you are taking here? There is a lot of startups, investment and innovation in various cryptocurrency and blockchain technologies. What is the low hanging fruit and who’s playing the long game against regulatory institutions?
DJ: This is a very good question! Adoption is very important for blockchain industry. However, it is the biggest challenge to blockchain industry as well. In house engagement adoption team might also be useful. Fusion does have our own engagement team. Meanwhile, I believe blockchain requires a totally new way for adoption. I am not sure if you are aware of our new innovative licensing model. Actually, we are not using licensing model to charge adoptors fee but offer partners a way to own fusion's technology and grow together with fusion. In this way, they don't need to spend money on research and development but immediately they could own technology of interoperability. I believe it will be very interesting and attractive. You could check our website for more information.
Q: What is your advantage from the other projects? XLM, NEO, etc, have already the Lightning fast blockchain solution - what is it that makes your solution better?
Y: Fusion has custom-built an innovative blockchain for decentralized finance. Fusion’s network employs a unique Proof of Stake consensus algorithm that is currently used to support consensus on Fusion’s MainNet that is running smoothly with more than 300 nodes participating in consensus. We can look more precisely at some of our main features:
Other exciting functions include a simple ‘create asset’ feature that removes the role of smart contract writing from digital asset creation. Asset enhancement feature to create non-fungible assets and enhance assets with data and changeable supplies. Multi-swap to facilitate the peer-to-peer exchange of many-to-many assets. Short account number, 3-6 digit number to replace long and cumbersome public addresses. And many more exciting innovations!
Q: How will Fusion help the Automotive eXchange Platform?
Y: Fusion will be the blockchain protocol for everything that AXP is building, from digitizing vehicles and personal identities through to insurance, loans, and purchases. We are starting with digitizing loans and packaging those into asset-backed digital securities. they have real customers, an existing network of dealers, and partnership with Signal Auto Lenders.
Q: Do you have any future plans to expand your project globally or launch it in the international market?
DJ: We are already executing a plan for expansion globally. Currently, our team are distributed in America, Asia, Europe and Africa. And India is full of talents. We are looking into it.
Q: What is your outlook on the future of cryptocurrencies? What can we do to keep increasing adoption? How can FUSION help to achieve it?
J: Clearly, we have believed that digital assets (aka cryptocurrencies) are the next era of evolution. It's why we started Fusion. The hurdles of "legitimizing" digital currencies or mainstream adoption are already being crossed by the many public (European governments - Liechtenstein, Malta) and private entities (JPM, Facebook) and the various payment (Credit/debit) solutions springing up.
The biggest problem we see and have seen since beginning, is the interoperable aspect. A blockchain is only as powerful as the reach of its network. If these assets become wildly successful in their network, but can't interact with other networks--then we haven't unlocked the potential of digital assets.
Q: How Fusion is going to change crypto world?
DJ: I want to mention one keyword: connection! Actually, the value in today's financial world is very siloed. That's why we see so many OTC market for different financial instruments. Fusion is building protocol to connect them together.
The team is working very hard on DCRM. We will announce when it is ready.


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--- title: Our team description: We've built an amazing team of developers, marketers, designers and sales people. ---
test


Follow my slides on your device:
https://goo.gl/RZWX4FBased on variations in manufacturing process
Circuits designed to expose them
Physical one way function
Operate on challenge-response principle
Weak PUF: Small set of possible CRPs
Strong PUF: Large set of possible CRPs


[§321-212] Tobacco products; possession or consumption prohibited. Possession or consumption of a tobacco product by a person under twenty-one years of age in a public place shall be prohibited. [L 2015, c 122, pt of §2]


Application Programming Interface (API)
The API uses GET, so all POST requests get a 405 error.
All of the endpoints can be viewed here
All of the image endpoints can be viewed here


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{% extends 'user/master.html' %} {% block body %}
{{ gettext("This is the main page of the App Composer. The App Composer lets you customize an application easily, in different ways. Choose the type of App Composer you want to use, and get started!") }}
{{ gettext("Learn more") }} » {{ gettext("Go to My Apps") }} »


[gecode-users] Performance Issue of Gecode
Christian Schulte
cschulte at kth.se
Tue Mar 31 23:40:55 CEST 2009
Dear Jeffrey,
That’s not a performance issue, that’s a modeling issue. Without more detail there is very little one could say but that if your model is poor, it might search 3^49 nodes.
Did you try the standard modeling techniques: symmetry breaking, branching heuristics, implied constraints, choosing sufficiently strong propagators for your constraints, and so on?
Cheers
Christian
--
Christian Schulte, www.it.kth.se/~cschulte/
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf Of Jeffrey
Sent: Tuesday, March 31, 2009 8:24 PM
To: gecode at gecode.org
Subject: [gecode-users] Performance Issue of Gecode
Dear all,
I have written a problem with a IntVarArray of size 49 for branching.
Each IntVar is in domain {0-2}
There are 30 something constraints. It turns out to run around 1 hour.
Is that a normal performance?
Is there any way I can optimize my program?
Any pointer for me in how to optimize my program?
_____
Yahoo!香港提供網上安全攻略，教你如何防範黑客! <http://hk.promo.yahoo.com/security/> 了解更多
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My Website
Kyle earned his Bachelor of Arts degree in Psychology with a minor in Political Science from the University of California, Merced in 2012 and is now a volunteer research assistant at the Health Communications and Interventions Lab. Kyle serves as a board member for the UC Merced Alumni Association, as well as a board member for the Merced County Advisory Board on Alcohol and Drug Problems. Kyle currently works at the University of California, Merced as a Lab Assistant III in the School of Natural Science.
My current CV can be accessed here
From time to time I am asked to run tutorials for groups, as I produce these I will post them here, feel free to use these as you see fit, if there are any questions, comments, concerns, or fears please contact me.
Mechanical Turk and AWS Workshop - December 5th, 2013 at UC Merced
This workshop was geared towards social science researchers who had never used Amazon Web Services or Mechanical Turk. Topics that were touched on included What is MTurk?, How much should you pay?, Installing MTurkR in RStudio, Accessing your AWS Security Credentials, Messaging Workers thought MTurkR, Sending SMS and Email messages though AWS, and Assigning Qualifications in MTurk.
**These slides were designed to be used as a reference. **
Mechanical Turk and AWS Workshop - February 3rd, 2014 at UC Merced
This workshop is almost the same as the workshop I ran in the Fall semester, I added a few details about Turkopticon, the people who run Turkopticon, the author of MTurkR and myself. These files for the workshop are licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License and were designed to be used as a reference.
**These slides were designed to be used as a reference. **
Here are a few packages I have authored for R:


Running the Script
- Download the
GoToMyPC_Client_Fixit.bat
tool from here
- Double-click it to run
- Press Enter to begin & allow it to run
- Note! After it is
done
running, it will ask whether you would
like to
reboot the machine
- If the customer is okay with rebooting, you may press enter to reboot
the machine
- Otherwise, click the 'x' on the window and allow them to save their work
/ reboot
later
Avoiding this issue: Create desktop shortcuts
- Connect to the host machine via the website
- Once in session, click
File
→
Create shortcut to...
- Click
Yes
to continue
- Have them enter their GoToMyPC account password
- Click
Continue
then OK
Explanation:
The desktop shortcut does not use the
GoToOpener in order to connect to the session. If a customer uses this method to
connect to
the
machine, it is faster and will avoid this problem in the future.


Assembly refuses to consider drunken driving bill
MADISON, Wis. (AP) - The state Assembly has refused to concur with a bill that would stiffen penalties for repeat drunken drivers.
The bill would increase the minimum time in prison for a 5th or 6th offense from six months to 18 months. Prison officials estimate the change would generate $13.6 million in additional operating costs annually.
The Senate passed the bill last week. Republican leaders in the Assembly tried to place the bill on their agenda Tuesday during a floor session. But they couldn't muster enough votes to overcome Democrats' objection.
Democratic Rep. Mark Spreitzer told Republicans that his colleagues objected to the bill because it doesn't include funding for treatment. He says without that piece people would just spend 18 months behind bars, come out and drive drunk again.


Welwyn Garden City
Home
City Map
(current)
Contact
Circular Town Trails
The trails start at the railway in Howard Centre.
Years 2009
Years 2008
Years 1940
Years 1950


Thoughca1185.github.io
View and Download BEBE CONFORT NACELLE WINDOO instructions for use manual online. NACELLE WINDOO pdf manual download. View and Download BEBE CONFORT Streety plus user manual online. Streety plus Stroller pdf manual download.
BEBE CONFORT STREETY PLUS USER MANUAL Pdf Download. Bebe Comfort Windoo Gebrauchsanweisung. BEBE CONFORT NACELLE WINDOO INSTRUCTIONS FOR USE MANUAL.


The Puck Times is game-day newsbrief for San Jose Sharks fans. We know life is busy and time is scarce, so we scan the news and synthesize it for you, highlighting everything you need to know before the puck drops.
The Puck Times is game-day newsbrief for San Jose Sharks fans. We know life is busy and time is scarce, so we scan the news and synthesize it for you, highlighting everything you need to know before the puck drops.
Today's Issue |
About Us |
|
Welcome back to the 2nd edition of The Puck Times, a concisely curated e-mail newsletter for Sharks fans...As is typically the case when the Sharks and Kings meet, there was plenty of hard hitting to go around. Dustin Brown took a questionable charge at Logan Couture in the first period. Later in the third, Couture returned the punishment to Milan Lucic with a bruising hip check...The Ducks have a number of new faces in their lineup this season. At forward they brought in... |
Andrew is the lead writer for The Puck Times. He earned his degree in Broadcast Journalism from SFSU and has covered the Sharks professionally since 2010. Brian is the editor and website developer. He recentely left a 5+ year career in digital marketing and began a coding bootcamp in September 2015. Both Andy and Brian have been avid sharks fans for 24 and 28 years respectively... |


{% load staticfiles %}
Informer · a pluggable app to monitoring your own infrastructure and third party services.
{% block content %}{% endblock %}
get more info about Informer
code


Moods & Genres
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Type Definitions
-
colorRGBA
-
An array in the format [redValue, greenValue, blueValue, alphaValue]
Type:
- array
- Source:
-
DOMobject
-
Type:
- object
- Source:
-
imageObject
-
An image created with "(new Image()).src = ...". Be sure the image is loaded before trying to use it.
Type:
- object
- Source:
-
jQueryObject
-
An instance of jQuery
Type:
- object
- Source:
-
Rtcc
-
Type:
- object
- Source:
-
RtccCall
-
Represents a call, given by Rtcc when a call starts
Type:
- object
- Source:


An Optimization Algorithm Applied to Stratification Problem.This function aims at constructing optimal strata with an optimization algorithm based on a global optimisation technique called Biased Random Key Genetic Algorithms.
| Version: | 1.2 |
| Depends: | Rglpk, snowfall, stratification |
| Published: | 2017-05-26 |
| Author: | Jose Brito, Pedro Silva and Tomas Veiga |
| Maintainer: | Jose Brito <jambrito at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | stratbr results |
| Reference manual: | stratbr.pdf |
| Package source: | stratbr_1.2.tar.gz |
| Windows binaries: | r-devel: stratbr_1.2.zip, r-release: stratbr_1.2.zip, r-oldrel: stratbr_1.2.zip |
| OS X binaries: | r-release: stratbr_1.2.tgz, r-oldrel: stratbr_1.2.tgz |
| Old sources: | stratbr archive |
Please use the canonical form https://CRAN.R-project.org/package=stratbr to link to this page.


These are the voyages of the Starship Enterprise. All of them had hair of gold like their mother the youngest one in curls. Just sit right back and you'll hear a tale a tale of a fateful trip that started from this tropic port aboard this tiny ship. Now the world don't move to the beat of just drum. What might be right for you may not be right for some.
He busy revin' up his Powerful Mach 5! Come and listen to a story about a man named Jed - a poor mountaineer barely kept his family fed. Just two good ol' boys Never meanin' no harm. Beats all you've ever saw been in trouble with the law since the day they was born. The Love Boat soon will be making another run. The Love Boat promises something for everyone.
To a deluxe apartment in the sky. Fish don't fry in the kitchen and beans don't burn on the grill. Took a whole lotta tryin' just to get up that hill. Today still wanted by the government they survive as soldiers of fortune. And you know where you were then. Girls were girls and men were men. Mister we could use a man like Herbert Hoover again. Sunday Monday Happy Days.
Everybody pulled his weight. Gee our old Lasalle ran great. Those were the days. Movin' on up to the east side. We finally got a piece of the pie. Why do we always come here? I guess well never know. Its like a kind of torture to have to watch the show. These days are all Happy and Free. These days are all share them with me oh baby. Doin' it our way.
Take a step that is new. We've a loveable space that needs your face threes company too! On the most sensational inspirational celebrational Muppetational... This is what we call the Muppet Show. They call him Flipper Flipper faster than lightning. No one you see is smarter than he? Why do we always come here? I guess well never know. Its like a kind of torture to have to watch the show.


This page was created to showcase AngularJS' capabilities by both exhibition (this page was made in AngularJS) and explanation on the process.
This is not a tutorial or guide on AngularJS (even if it may be a good introduction), neither is it made for publicity on the framework. Indeed, this is the second page on the "Works" series, the first one being all about Webpack.
I will elaborate better in the process explanation page, but to briefly summarize, this is a Single Page Application (SPA) which takes a global data source (a ficticious user profile) which is used in three sections: that little widget on the header (saying "Hello" to you), the Do Something Cool! section, which also uses an exclusive data source, and, of course, the Profile Edit page, in which you add or change the user data seamlessly with your page. Your head would hurt thinking on how you'd do that without AngularJS or a similar tool, or, if you're an experienced developer, your head would instead hurt thinking about the amount of work.


I love working with a team!!
I know how to bring energy to a team!
and I really enjoy working on projects...


The observer pattern helps us when we need to spread informations across our application. A system where every part is aware of the state of the whole is better than a system where each object should be manually notify for every small change. How is it possible to accomplish this task without coupling our objects? Let’s say we have just moved in a new flat, and every documents should be updates; driving license, passport, health insurance card… etc. Would be great if at the same time we change address, automatically our passport will be up-to date. That’s what the observer pattern would do:
class Person
attr_reader :name, :age
attr_reader :address
def initialize( name, age, address )
@name = name
@age = age
@address = address
@observers = []
end
def address=(new_address)
@address = new_address
notify_observers
end
def add_observer(observer)
@observers << observer
end
def delete_observer(observer)
@observers.delete(observer)
end
def notify_observers
@observers.each do |observer|
observer.update(self)
end
end
end
The important thing to know here is that the @observers variable is an array, and could contain more than one objects, as more than one item needs to be notified.
class Passport
def update( changed_person )
puts("I have to update the citizen #{changed_person.name}!")
puts("His address is now #{changed_person.address}!")
end
end
class DrivingLicense
def update( changed_person )
puts("I'm the driving license! I have to update the citizen #{changed_person.name}!")
puts("His address is now #{changed_person.address}!")
end
end
And here the implementation
lucky_guy = Person.new('Bob', 30, 'Karl Marx strasse, Berlin')
passport = Passport.new
driving_license = DrivingLicense.new
lucky_guy.add_observer(passport)
lucky_guy.add_observer(driving_license)
lucky_guy.address = 'Gustav Mueller Str., Berlin'
The Gang of Four defines two types of object. The subject, the object that has the news, and the observer, the object that want to know the news. In this case is pretty clear that the object is the Person, and the rest are the observers.
But what if in our application there are more than one Subjects, and we want to reuse the code that add and remove the observer? Let’s pack this code in a module:
module Subject
def initialize
@observers=[]
end
def add_observer(observer)
@observers << observer
end
def delete_observer(observer)
@observers.delete(observer)
end
def notify_observers
@observers.each do |observer|
observer.update(self)
end
end
end
Our Person class can now include all the methods present in the Subject module, and simplify the process to add others subjects to our application.
class Person
include Subject
attr_reader :name, :age
attr_reader :address
def initialize( name, age, address )
super()
@name = name
@age = age
@address = address
end
def address=(new_address)
@address = new_address
notify_observers
end
end
The method super
(in ruby, only the method super
needs the two ()
also if there is no argument ), is used to call the initialize method in the Subject module. In real world application, there is no need to create the subject module, the Ruby standard library comes with a predefined ‘Observable’ module, that, when included, tranform the object in a subject. The only thing that has changed, is that the Observable
module requires that the subject calls the method changed
before notify_observers
every time the object is changed.This method sets a flag in the object to true
, when the notify_object
method finish his task, the flag is set back to false
. Here the example
require 'observer'
class Person
include Observable
attr_reader :name, :age
attr_reader :address
def initialize( name, age, address)
@name = name
@age = age
@address = address
end
def address=(new_address)
@address = new_address
changed
notify_observers(self)
end
end
As in the previous posts regarding design patterns in ruby (all of them inspired by the book wrote by Russ Olsen), the code’s example are available here


Coming soon...! Sorry for the inconvenience. We’re developing the site at the moment. If you need to you can always contact us, otherwise we’ll be back online shortly! — Mahendar Boini


{% extends "playaevents/base.html" %} {% load i18n %} {% block head_title %}{% blocktrans %}Black Rock City{% endblocktrans %}{% endblock %} {% block body %}
Browse events submitted by participants for Burning Man {{ year.0.year }}: {{ year.0.theme }}
{% for year in years %}
{% if forloop.first %}
Browse Events
{% if my_events %}
My Events
{% endif %}
{% if not forloop.last %}
Previous years:
{% endif %}
{% else %}
{{ year.year }}:
{{ year.theme }}{% if not forloop.last %}
{% endif %}
{% endif %}
{% endfor %}
Have your event published at Playa Info on-playa or within the
printed pages of the What Where When.
Publish Event
Where else do Playa Events appear? If you've marked your event to be public, it will be found in a variety of places:
The API (Application Programming Interface) for software developers to include in their mobile or PC applications.
The Directory computer system at Playa Info, where participants can add more events as well as browse them. If you add a password, you can edit your event on the Directory.
If you submit early, your event may get printed in the What Where When—the listing of events and activities happening at Burning Man.


Results of the National Foundation for Educational Research (NFER) teacher voice omnibus survey and the post-16 institutions omnibus survey.
Research reports published since 2010 are available on GOV.UK. You can find our archived research on the
National Archives
. Note: the search function is not available on archived content so please use the filters on the left of each page.


The noriji-2 is an introduction to the dance. In fact, the noriji with its immutable honji of limited number of syllables, often leads to a dance, as it is the case here. The main feature of this shōdan is the shite’s grandiose entrance on the main stage, supported by the full hayashi and the jiutai, who speaks for the deity.
Yet, the noriji-2 begins with an introduction that further delays the shite’s entrance on the main stage. Still standing at the First pine, the shite signals that he is about to make his move with a sequence of Six Stamps, concluding with a Left Turn, a Forward Pointing, and its usual companion kata, the Open-retreat, leading to the nohkan’s takane hane pattern. This concludes the introduction.
The shite finally with a Large Zigzag, that he performs in the dynamic Martial style. At the conclusion of this kata, the deity faces Munechika as the jiutai intones, "The appointed time for forging is known," encouraging him to begin his task.
From this point on, the shite performs a sequence of kata that brings him to Square 1, where he concludes the shōdan with the standard sequence: Forward Pointing and Open-retreat.


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A COLLECTION OF MAPS DEPICTING THE HISTORY OF JERUSALEM
• TIMELINE
• LAND DIVIDE
• WEST BANK & GAZA
• EXPLORE


David Salazar
About
Portfolio
Contact
Portfolio
Word Guess
Froogle (Project 1)
Trivia Game
Rutgers Info Widget
Project 2
TBA
TBA
TBA


It's a rare film that looks as gorgeous as director John Boorman's "Where the Heart Is." The vibrant colors and clever art direction are delicious eye candy. Unfortunately, Boorman and his daughter Telsch wrote a script to accompany these plush visuals, and it's positively atrocious. The end result is like trying to tour an art gallery during a fire drill: Sure, there's plenty to look at, but you still just want to get out of there. Fast.
Dabney Coleman, not exactly breaking any new ground for himself, plays a grouchy, unenlightened demolition magnate who's convinced his artsy children (Uma Thurman, Suzy Amis and David Hewlett) will never make it in the real world. So he throws them out of the mansion and puts them up in a ramshackle house in one of New York's less attractive neighborhoods. But a cruel twist of fate throws the family back together again, with no money, but now equipped with the greater happiness that comes from love and understanding.
The screenplay could have been lifted from any random night of idiotic TV sitcoms and the Boormans dress it up with some of the most precious and highfalutin dialogue this side of a college theater party. It's a groan a minute.
The varied cast members behave as if they were all acting in different movies. Joanna Cassidy screeches and flutters annoyingly as Coleman's flighty wife, while Crispin Glover does his usual beyond-the-fringe number as a fashion designer who pretends to be gay in the hopes of getting ahead. Only Thurman makes a pleasant impression, imparting an ethereal air to her Stevie Nicks-ish character. Almost everyone else, like the film itself, makes you wish you'd just stayed home. James Sanford
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


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My first job!
At Heath Design Group, Inc., I provided custom and overall
interior design solutions, prepared AutoCAD drawings and
manual draftings (yes, we did
that back in the day), on projects in the Baltimore,
MD area.
Let the fun begin!
At CitiFinanical, I was given the opportunity to design (full
scope) and remotely manage the construction of over 100 CitiFinancial
Branch network throughout the West Coast (incl. Hawaii),
Texas, Some Mid-West and Mid-Atlantic states successfully.
Apart from multiple small branches all at once, I was assigned
larger projects that continue to challenge my professional
capabilities.
Challenge Accepted!
My project management and business skills flourished at Citi
(Citigroup, N.A.). At first, I contemplated on resigning
to pursue a Master's degree. This contemplation was counteredwith
an enticing challenges of working on complex and aggressive
design & construction projects. They were tough, but I
had fun!
I fell in L-O-V-E.
I didn't fall in love with work, but with the love of my
life. It was hard to leave my successful career at Citi,
but I had to explore my personal life's potentialand maintain
balance. I decided to move, satisfy my heart, see if I can
get that Master's degree under my belt, AND experience working
abroad. I was looking for a temp job to help a friend at
his language school.
I am too American?!
Working GDF SUEZ Energy Asia Co., Ltd.in Bangkok, Thailand
was a French company with stakes in the utility/ energy companies
in Thailand. It was difficult working for a company with
a preconceived perception of Americans. But you know what?
I wouldn't change a thing about my work ethics. Working hard
and smart is key.
Bitten by the Tech bug.
Aware Technology Solutions Co., Ltd. (ATS) was looking for
an HRD Manager to help strategize and develop their biggest
asset - the employees. Without having prior experiences in
software development, I dove right in, researched, worked
with managers, and developed the required criterias and skill
sets (technical and soft) to better identify professional
improvement opportunities through measureable evaluation
methods. My experiences working with so talented people at
ATS urged me to explore and venture into the software development
field.
12+ yrs of full-service project management from conceptualization to initialization to completion. Breaking down projects into manageable and achievable sequence is the secret to our success.
Will have to add more of this information once the courses are complete.
All problems have more than one solutions. We are here to provide you with solutions with our extensive analysis and development process.
Lead Designer & Developer
Lead Better Half
Resident Snuggler
Providing you with solutions is the name of our game.


US Meetings Cost Estimator Tool
Meeting Location:
Atlanta, GA
Austin, TX
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Charlotte, NC
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Herndon, VA
Houston, TX
Las Vegas, NV
Miami, FL
New York, NY
Philadelphia, PA
Phoenix, AZ
San Diego, CA
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Seattle, WA
Meeting Start Date:
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Estimated No. of Attendees:
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Classes | |
| struct | SShaderUserParam |
| struct | SShaderUserSampler |
| struct | SModelNodeMeshRangeInfo |
| struct | SModelNodeMeshInfo |
| model node material reference. More... | |
| struct | SModelNodeInfo |
| struct | SModelLightInfo |
| struct | SModelInfo |
| struct | STerrainInfo |
Functions | |
| bool | ParseMaterial (const SBscToken *&stream, const BscArrayTable &arrayTable, const BscVarTable &varTable, tstring &errors) |
| GrParse forward declarations. | |
| bool | ParseLight (const SBscToken *&stream, const BscArrayTable &arrayTable, const BscVarTable &varTable, tstring &errors) |
| bool | ParseSceneDef (const SBscToken *&stream, const BscArrayTable &arrayTable, const BscVarTable &varTable, tstring &errors) |
| bool ParseLight | ( | const SBscToken *& | stream, | |
| const BscArrayTable & | arrayTable, | |||
| const BscVarTable & | varTable, | |||
| tstring & | errors | |||
| ) |
parse the name.
parse the opening brace.
vars to store information about light.
set the default name to be the light info.
read until we hit the end of the light.
combine for final results.
roll it, then change it's pitch, then change it's yaw.
advance past the closing brace.
advance past the closing brace.
Create a new light and register it with the scene.
success!
Definition at line 370 of file GrParse.cpp.
| bool ParseMaterial | ( | const SBscToken *& | curTok, | |
| const BscArrayTable & | arrayTable, | |||
| const BscVarTable & | varTable, | |||
| tstring & | errors | |||
| ) |
GrParse forward declarations.
GrParse implementations.
global functions.
make sure the engine is up and running ( or at least what we need to run correctly )
up to 8 passes.
up to 8 post process passes.
parse the name.
opening brace.
read until the end of the material.
check for flags.
advance past the current token.
create the proper type of deformer.
don't know what kind of deformer this is.
parse the pass and move on to the next keyword.
no need to advance past any token.
parse the pass and move on to the next keyword.
no need to advance past any token.
no clue what this is.
advance past the current token.
advance past the closing brace.
register the material with the material manager.
return true to indicate success.
Definition at line 207 of file GrParse.cpp.
| bool ParseSceneDef | ( | const SBscToken *& | stream, | |
| const BscArrayTable & | arrayTable, | |||
| const BscVarTable & | varTable, | |||
| tstring & | errors | |||
| ) |
make sure the engine is actually up and running in a valid state.
get the current script name (that's our script). Note that things we do will cause other scripts to be loaded.
parse the name.
now lets parse info from the scene definition file. parse the opening brace.
vector to hold models that need to be instantiated.
a place to store information about the scene.
scan through tokens until we hit the end of the scene definition.
advance past the keyword.
store the path and advance past it.
WARNING: modelpath is depricated. It should be removed in the future. advance past the keyword.
store the path and advance past it.
advance past the keyword.
now instantiate the model.
add the new model info to our list.
advance past the keyword.
parse the color. Note that ParseColor automatically advances past the color for us.
advance past the keyword.
get the axis.
advance past the keyword.
advance past the closing brace.
now we should load the BSP.
get the data from the file.
now try to read in the BSP file. Note that we let the reader delete bspBuffer for us.
clear the file data.
set the scene's data.
now we should load the default model (if one was specified).
add in models.
get the current model info.
try to get an instance model.
set the model's local transform.
set all of the current model's instance data.
get the current node info structure.
get the root node.
try to find the node with the current name so that we can operate on it.
apply materials to any meshes.
get the current mesh index.
is the mesh index valid?
now we should get the actual mesh.
iterate through each range.
now do stuff on the current range.
is the range index valid?
should we set the material?
try to get the material.
set the material.
add lights to the model instance.
try to get the light.
if a parent was specified, try to find it's node.
add the light to the model.
add the model to the scene.
search for the parent.
return true to indicate success.
Definition at line 649 of file GrParse.cpp.


Some subtext
This is subtext for H2
Pre Click here post.
some end text
Before Image post image.
Single line of free text.
Free text here that continues to second line of free text.
Some text around this link that you can click.


Authors: Anran Du, Yicheng Shen, Lewis Tseng, Takamasa Higuchi, Seyhan Ucar, and Onur Altintas
Conference: PerCom Work in Progress on Pervasive Computing and Communications 2021
Spring 2020
A software that allows professors to create peer evaluations and students to evaluate each other. Professors can easily manage courses, teams, and created peer evaluations. Students can fill out peer evaluations. Professors will see aggregated results once students finish their peer evaluations. Students will see their score and comments once professors release the results.
Fall 2020
A project that utilizes reinforcement learning algorithms as cores of AI to play simple games.
Fall 2020
A NLP project that trains CNN to recognize speech in noisy environment in cars. CarSpeech focuses on comparing results of different ML models under various noise levels.
DocumentationTA for Software Engineering
Feburary 2021
Received ACM Student Research Competition award
September 2020
TA for Algorithms
January 2020


We believe that business should have a visible purpose for the common good. Financial markets, well directed, can have a profoundly positive impact in promoting a sustainable world without which we will not have a long term sustainable business.
Lykke is shaping the future by democratising finance. We open-source our work and consciously try to put people, planet and profit in that order.
We level the playing field by building secure marketplaces for any type of asset with direct ownership and immediate settlement. Transformative as this is, our vision is broader - We believe that imagination and technology, creatively applied, can help solve our social and environmental challenges.


TABLE OF INTERACTIONS WITH
ORAL ANTICOAGULANTS
From the French ANSM drug interactions document of September 2016, pp. 19-20
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
OTHER ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
Risk of increase of hemorrhagic events when one oral anticoagulant is replaced with another. |
Take into account Take into account the half-life of the oral anticoagulant and observe, if the situation requires, a delay for clearance before the start of treatment with another. Be sure to inform the patient. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
ACETYLSALICYLIC ACID RxNorm: 1191 ATC: A01AD05 B01AC06 N02BA01 |
Increase of the risk of hemorrhage, especially in cases with a previous gastroduodenal ulcer |
Contraindication with: - anti--inflammatory does of acetylsalicylic acid (>=1g per dose and/or >=3g per day) -analgesic or antipyretic doses (>=500mg per dose and/or <3g per day) and in cases of preceding gastroduodenal ulcer Not recommended with: -analgesic or antipyretic doses (>=500mg per dose and/or <3g per day) in the absence of previous gastroduodenal ulcer -anticoagulating doses (from 50 mg to 375 mg per day) and in cases of preceding gastroduodenal ulcer There is likely a need for testing, if the situation requires, particularly during periods of bleeding. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
PLATELET AGGREGATION INHIBITORS CLASS CODE: B01AC-001 |
Increase of the risk of hemorrhage |
Take into account |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
NON STEROIDAL ANTI-INFLAMMATORY DRUGS CLASS CODE: M01A-002 |
Increase of the oral anticoagulant's risk of hemorrhage (irritation of the gastroduodenal mucosa by the non-steroidal anti-inflammatories) |
Not recommended If administering these medications together cannot be avoided, strict clinical monitoring, possibly biological monitoring. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
DEFIBROTIDE RxNorm: 1311089 ATC: B01AX01 |
Increased risk of hemorrhage |
Not recommended |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
GLUCOCORTICOIDS (EXCEPT HYDROCORTISONE) CLASS CODE: A0-H0-001 |
Glucocorticoids (general and rectal routes): possible impact of the corticotherapy on the metabolism of the vitamin K antagonist and on that of the factors of coagulation. Risk of hemorrhage specific to the corticotherapy (digestive mucosa, vascular fragility) with large doses or in treatment prolonged beyond 10 days. |
Precaution for use When administering substances from these groups together is justified, strengthen monitoring: if the situation requires, with the vitamin K antagonists, biological monitoring on the 8th day, then every two weeks after that during the corticotherapy and after it is stopped. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
LOW MOLECULAR WEIGHT HEPARINS AND RELATED DRUGS (CURATIVE DOSES AND/OR OLDER PATIENT) CLASS CODE: B01AB-001 |
Increase of the risk of hemorrhage |
Precaution for use If administering these together cannot be avoided, reinforce clinical monitoring and, if the situation requires, biological monitoring. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
SELECTIVE SEROTONIN REUPTAKE INHIBITORS (SSRIs) CLASS CODE: N06AB |
Increase of the risk of hemorrhage |
Precaution for use Clinical monitoring and, if the situation requires, more frequent testing of the INR. Possible adjustment of the dosage of the oral anticoagulant during the administration with the SSRI and when it is stopped. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
IPILIMUMAB RxNorm: 1094833 ATC: L01XC11 |
Increase of the risk of digestive system hemorrhage |
Precaution for use Strict clinical monitoring. |
ORAL ANTICOAGULANTS CLASS CODE: B01A-001 |
MIXED ADRENERGIC-SEROTONINERGIC MEDICATIONS CLASS CODE: N06A |
Increase of the risk of hermorrhage. |
Precaution for use Clinical monitoring and, if the situation requires, more frequent testing of the INR. Possible adjustment of the dosage of the oral anticoagulant during the administration of these medications together and when it is stopped. |


You read the text and it says something that makes a knot in your stomach. You are almost sure it isn’t rage, but it's something that...
I once set a fridge on fire. It was knackered and laying on its side in the Tasmanian wilderness when we found it, having assumably...
Image credit Another way to concatenate strings. Hi guys, sorry it's been a fortnight! I've been hella busy and still am so this is...
Image credit Hello again! Welcome to another Monday and another short one for you here. So, have you ever needed to make a PDF file...
Image credit Hi there! Thought I'd give a big hi today in apologies for the lack of length that this blog post has in comparison with my...
Image credit Why A Star? So for game development, we were in a situation where we had a player that you could swap for any one of three...
Image credit Hello friends. So it's been a while and I apologise. I haven't stopped though, I have just been busy getting things done....
Image credit - Adam Dachis Hey gang! It’s been a while since I wrote on here and that has mainly been because I haven’t really had...
Image credit - DoYouKubuntu Hey gang! Just checking in. So, ‘tis the season to be jolly and what not so I am allowing myself to take...
Let me tell ya’ll a story. Yes, I’m Australian and that slang isn’t commonplace, but neither am I so whatever. I am from a tiny little...
Some of you out there probably know a little bit about web development and the various frameworks that are available out there. Some of...
I know what you're thinking... Clearly, I should also be learning how to use software like Adobe Illustrator and not rely so heavily on...
So since my last post, I have begun working as a volunteer. The Arduino project is on hiatus. As it happens, it is considerably...
So today I blew up my arduino. I have been working on a project that involves regulating the temperature inside a refridgerater using...
G'day! So, this is my first blog post. My name is Justin, as I am sure you have deduced from the domain name, and I am a web...


Choose the best product
Take a look of what we have done so far...
more about
We make a custom gifts for new born babys and other cases.


Matlim
Geometric problems solver
I know it doesn't have styles yet. They are still in construction. The logic is done.
Choose the figure you are calculating
Square
Rectangle
Isosceles triangle
Equilateral triangle
Right triangle
Circle
Results
The diameter is:
The perimeter is:
The area is:
The volume is:
The hypothenuse is:
The opposite side is:
The adjacent side is:


Converting Binary to Decimal
Type your answer in the text field and click the
Check
button.
The binary number is:
00000
What is its decimal (base 10) value?
correct: 0


It turned out that there was a flight to Paris the next morning! Tickets were expensive, but purchase was deemed necessary to win the trust of subject*.
The flight departed from Heathrow at 07:30 and arrived at De Gaulle airport at 07:45. The city was just as beautiful as Agent had imagined. The sun was shining, and temperature was around 20°C. Agent and subject laughed together at our crazy spontaneity.
Agent and subject had the best day ever, seeing the sights of Paris together and trying several fancy restaurants**. Subject is starting to open up and hinted at knowing important subversives.
In the evening, Agent and subject relaxed at the hotel together and ordered room service***. With sufficient amounts of expensive champagne, Agent got subject to open up and discuss subversive topics, such as Emma Goldman, surplus value, and the Unabomber.
Agent is close to a breakthrough. Subject has hinted at being able to introduce Agent to subversive Parisian groups. Agent ordered more expensive champagne, to get subject to let down his guard****, but subject told Agent to be patient.
Further funding is necessary to pursue this avenue of investigation.
* See expense report #AD-6563.
** See expense report #AD-6677.
*** See expense report #AD-6938.
**** See expense report #AD-6992.


---
layout: post
title: Notes from Securecon
tags:
- Open Source Software
- Security
status: publish
type: post
published: true
meta: {}
---
Last week I attended SecureCon. Here are a few rough notes:
- At an attendance cost of $0 it was stunning value for money
- Damn Vulnerable Linux is a really useful sample of cracking tools and information for the professional
- Security attacks continue to get worse and there is serious money involved
- Defence in depth (firewalls, OS patches, bandwidth throttles, user education, VLANS to separate traffic types, security zones, policies and policy updating, continues testing, application architecture and design for security,....)
- Assume everything is evil, including traffic from your own network
- Protect the data
- Constant demands for new functions and access mitigate against closed security (e.g. Javascript is about to get access to the local file system)
- New devices (e.g. mobile devices) and new services (in particular VOIP) increase the attack surface, sometimes by an order of magnitude.


View activity logs for traceability and quality control.
Under Development
{% comment %} {% include "console/pages/settings/logs/logs.html" with
model='results'
model_singular='result'
organizations=organizations
section=section
user=user
%} {% endcomment %}
{% comment %}
{% include "console/components/placeholders/loading_placeholder.html" with
height='366px'
width='100%'
only
%}
{% endcomment %}
{% comment %}
{% include "console/components/placeholders/table_placeholder.html" with
height='200px'
image='console/images/icons/multi-tone/documents.svg'
message='You can create a custom log for traceability or quality control purposes or try expanding your search.'
title='No logs in this period'
only
%}
{% endcomment %}
{% comment %}
{% endcomment %}
{% comment %}
{% include "console/pages/settings/files/files.html" with
model='team'
model_singular='team-member'
organizations=organizations
section=piece
user=user
%}


Answer correctly the below questions.
1. Which of the following is not an African state?
2. Who was the first Kenyan President?
3. Which is the largest fresh water lake?
4. Which is the biggest region?


This Google Chrome extension aims to help bitcoiners interact with bitcoin-related content on websites by allowing for easier browsing and previewing of addresses, transactions, and block found on websites.
However, it was not free to develop. Please consider donating to the project at 1MF7hKShzq2iSV9ZZ9hEx6ATnHQpFtM7cF (you can use the extension to send to this address). If you have a comment, question, or suggestion, send us an email at<EMAIL_ADDRESS>or open an issue on our GitHub repo.
While the project works very well, we're always looking for developers and users to view the code and make suggestions on our GitHub project! Thanks for using CryptoLookup!


|
|
class | boost::serialization::access |
| | Serialization function.
|
| |
|
|
GTSAM_EXPORT friend std::ostream & | operator<< (std::ostream &os, const ConstantBias &bias) |
| | ostream operator
|
| |
|
void | print (const std::string &s="") const |
| | print with optional string
|
| |
|
bool | equals (const ConstantBias &expected, double tol=1e-5) const |
| | equality up to tolerance
|
| |
|
|
| ConstantBias (const Vector3 &biasAcc, const Vector3 &biasGyro) |
| |
|
| ConstantBias (const Vector6 &v) |
| |
|
Vector6 | vector () const |
| | return the accelerometer and gyro biases in a single vector
|
| |
|
const Vector3 & | accelerometer () const |
| | get accelerometer bias
|
| |
|
const Vector3 & | gyroscope () const |
| | get gyroscope bias
|
| |
|
Vector3 | correctAccelerometer (const Vector3 &measurement, OptionalJacobian< 3, 6 > H1=boost::none, OptionalJacobian< 3, 3 > H2=boost::none) const |
| | Correct an accelerometer measurement using this bias model, and optionally compute Jacobians.
|
| |
|
Vector3 | correctGyroscope (const Vector3 &measurement, OptionalJacobian< 3, 6 > H1=boost::none, OptionalJacobian< 3, 3 > H2=boost::none) const |
| | Correct a gyroscope measurement using this bias model, and optionally compute Jacobians.
|
| |
|
|
static const size_t | dimension = 6 |
| | dimension of the variable - used to autodetect sizes
|
| |
The documentation for this class was generated from the following files:
- /Users/dellaert/git/github/gtsam/navigation/ImuBias.h
- /Users/dellaert/git/github/gtsam/navigation/ImuBias.cpp


Study Destinations
Why study in USA?
United States of America is #1 choice of International Students because of its excellent academics, flexibility, funding options, world renowned faculty, infrastructure and research facilities. United States of America offers great campus experience; be it academics, sporting and research facilities. You will find most of the American university in top 500 University list that speaks about the quality of education and future career prospects students are getting after completion of their studies. United States of America offers warm welcome to the International students. As American society is multicultural and friendly, they give equal opportunity for study & work purpose.
Why USA is a unique study destination?
USA is a Land of Opportunities.
You will find great campus environment and a true international exposure.
US Education System has attracted superior and bright minds across the globe from the last 40 years.
70% of world’s research work is being carried out in United States.
USA is a head quarter for majority of fortune 500 companies.
US universities offers excellent academic program with research facilities and highest funding for education.
The faculty profile, Infrastructure and Education facilities available in USA are far superior than rest of the world.
Students with good academics get many Scholarship Opportunities like teaching, research, collaboration, partial scholarship and many more.
Every year more than 1 lakh Indian students get their visa to study in various US University Campus (year-2013, 2014 & 2015).
US Universities offers tuition fees starting from 10,000 USD to 50,000 USD depending upon the individual university. Bright students are frequently encouraged through Scholarships.
Students are allowed to work part-time during their studies and full time during academic breaks.
US offers attractive stay back and work options like CPT, OPT, H1B followed by Green Card.
US offers enormous opportunities and plenty of work opportunities for qualified professionals in the field of Management, IT, Engineering, Health care, Social sector, Financial Sector, Pharmacy, etc.
Students can earn up to 90,000 USD during OPT. 12 to 36 months of Optional Practical Training (OPT) is available upon the completion of the studies.
Largest numbers of Indians are settled across United States with a strong presence of Gujarati Community that will help Gujarati students to have familiar environment and contacts.
Student will have an opportunity to work for Leading names like Dell , Apple, Boston Consultant, Wall Mart, Mckinsey, Deloitte, Intel, Cisco, Google, IBM and similar.
For its academic excellence.
USA provides opportunities for research, teaching and training.
Tuition fees and Living cost
United States of America, offers wide varities in terms of educational institutes and tuition fees. A student can expect to pay between 10,000 to 30,000 USD depending upon the type of Course and University they would like to pursue. Scholarship on merit and other funding facilities are accessible to deserving students, resulting in reduced Tuition fees & expenses. Students can even opt for various financial plans to pay the tuition fees. Students should prepare to spend between 700 to 1200 USD depending upon the location of the residence and amenities he/she would like to avail.
Work opportunities
Students are allowed to work part-time or full-time after approval of work authorization like CPT or OPT. They can even apply for H1B if they meet the criteria. Student can expect an annual salary between 60,000 to 90,000 USD after completion of their Graduate Studies.
Entry Requirement
- Students who would like to study Bachelor, should prepare to write SAT, TOEFL or IELTS.
- Students who would like to study Master of Science, should prepare to write GRE and TOEFL or IELTS.
- Students who would like to study MBA, should prepare to write GMAT and TOEFL or IELTS.
Study in UK
The United Kingdom is a developed country and has the world's 5th largest economy by nominal GDP and 9th largest economy by purchasing power parity. It has a high-income economy and has a "very high" Human Development Index, ranking 14th in the world. It was the world's 1st industrialized country and the world's foremost power during the 19th and early 20th centuries. The United Kingdom remains a great power with considerable economic, cultural, military, scientific and political influence internationally.
Study in AUSTRALIA
Let us explore why Australia now has around 38,4000 international students from over 140 countries in disciplines at every level of education, including short-term English language courses, Bachelor and Masters Degrees right through to Doctoral Degrees.


Northridge Loop
Skill level
Surface
Notable features
Final thoughts
Comments
Max Smith wrote this on August 7th, 2014 at 12:52
Great review! I had a blast on the West side of the loop last week. I found a hidden gem in the old orchard field past the "Lazy S" spur. If you keep going past the trail marker, you'll find a fnatastic run through a dried up gulley-wash. Just stay clear of it on rainy days.


This is the base package for medium models of incompressible fluids based on tables. The minimal data to provide for a useful medium description is tables of density and heat capacity as functions of temperature.
It should be noted that incompressible media only have 1 state per control volume (usually T), but have both T and p as inputs for fully correct properties. The error of using only T-dependent properties is small, therefore a Boolean flag enthalpyOfT exists. If it is true, the enumeration Choices.independentVariables is set to Choices.independentVariables.T otherwise it is set to Choices.independentVariables.pT.
To implement a new medium model, create a package that extends TableBased and provides one or more of the constant tables:
tableDensity = [T, d]; tableHeatCapacity = [T, Cp]; tableConductivity = [T, lam]; tableViscosity = [T, eta]; tableVaporPressure = [T, pVap];
The table data is used to fit constant polynomials of order npol, the temperature data points do not need to be same for different properties. Properties like enthalpy, inner energy and entropy are calculated consistently from integrals and derivatives of d(T) and Cp(T). The minimal data for a useful medium model is thus density and heat capacity. Transport properties and vapor pressure are optional, if the data tables are empty the corresponding function calls can not be used.
| Name | Description |
|---|---|
| invertTemp | Function to invert temperatures |
| BaseProperties | Base properties of T dependent medium |
| setState_pTX | Returns state record, given pressure and temperature |
| setState_dTX | Returns state record, given pressure and temperature |
| setState_pT | Returns state record as function of p and T |
| setState_phX | Returns state record, given pressure and specific enthalpy |
| setState_ph | Returns state record as function of p and h |
| setState_psX | Returns state record, given pressure and specific entropy |
| setState_ps | Returns state record as function of p and s |
| setSmoothState | Return thermodynamic state so that it smoothly approximates: if x > 0 then state_a else state_b |
| specificHeatCapacityCv | Specific heat capacity at constant volume (or pressure) of medium |
| specificHeatCapacityCp | Specific heat capacity at constant volume (or pressure) of medium |
| dynamicViscosity | Return dynamic viscosity as a function of the thermodynamic state record |
| thermalConductivity | Return thermal conductivity as a function of the thermodynamic state record |
| s_T | Compute specific entropy |
| specificEntropy | Return specific entropy as a function of the thermodynamic state record |
| h_T | Compute specific enthalpy from temperature |
| h_T_der | Compute specific enthalpy from temperature |
| h_pT | Compute specific enthalpy from pressure and temperature |
| density_T | Return density as function of temperature |
| temperature | Return temperature as a function of the thermodynamic state record |
| pressure | Return pressure as a function of the thermodynamic state record |
| density | Return density as a function of the thermodynamic state record |
| specificEnthalpy | Return specific enthalpy as a function of the thermodynamic state record |
| specificInternalEnergy | Return specific internal energy as a function of the thermodynamic state record |
| T_ph | Compute temperature from pressure and specific enthalpy |
| T_ps | Compute temperature from pressure and specific enthalpy |
| Polynomials_Temp | Temporary Functions operating on polynomials (including polynomial fitting); only to be used in Modelica.Media.Incompressible.TableBased |


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4-6
I find this more and more helpful in the repertoire as so many children – small children at any rate – seem to be kept on strict wheat-free diets by their parents these days. This is why I’ve given the option of replacing the breadcrumbs with porridge oats, and very well it works, too. All in all, it is just about the perfect children’s tea.
Preheat the oven to 220C/425F/Gas 7.
In a large bowl, using your hands, combine the mince, parmesan, breadcrumbs or oats, parsley, eggs, garlic, and add some salt and pepper. Do not overwork it, just lightly mix together or the meat will become compacted and dense.
Butter a round baking tin of about 28cm/11in diameter and turn the meat into it, pressing the mixture lightly with your fingers to cover the bottom as if the seasoned minced meat were your pizza crust.
Make sure you’ve drained as much runny liquid as possible out of your can of chopped tomatoes, then mix the tomato with the garlic oil, oregano and some salt and pepper and spread, using a rubber spatula, lightly on top of the meat base. Arrange the mozzarella slices on top, and then put in the oven for 20-25 minutes, by which time the meat should be cooked through and lightly set and the mozzarella melted.
Remove from the oven and let it sit for five minutes, then adorn with some basil leaves and bring it to the table before cutting into wedges, like a pizza.


Bay Area Rapid Transit
Current Train Schedule - North Berkeley
Departure
Destination
Frequency (minutes)
Next Arrival (HH:mm)
Minutes Away (minutes)
Add Train
Train Name
Destination
First Train Time (HH:mm - military time)
Frequency (minutes)
Submit


We extend content!
- streamline global portals
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Please login here: https://dashboard.buytecheckout.com/signin
Your username is {username} and temporary password is {####}
If you have any enquiries, please email support@buytecheckout.com.


Once added, Championship Points cannot be removed. Results for Championships are calculated on page load (allowing for much
greater flexibility for improvements), so previous Championship points must be available to do that. If you wish to disable
points entirely for this class, set all the above values to zero. This will affect all entrants points who raced in this
class in this Championship.
This multiplier is applied when giving points to any events which make use of the "Reversed Grid Positions"
functionality. If a second race occurs, the points given to each player will be multiplied by the given multiplier.
To disable points for a second race, set this to 0. The value can be negative if you like!


-
This is why your Internet is slow. And it’ll get worse. Unless you take 1 ...
www.battleforthenet.com
You’re our only hope.
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Apple
www.apple.com
Apple designs and creates the iPhone, iPad, Mac notebooks and desktop computers, iOS 8, OS X, iPod and iTunes, and the new Apple Watch.
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jakubroztocil/httpie
github.com
httpie - HTTPie is a command line HTTP client, a user-friendly cURL replacement.
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Bring Reading Rainbow Back for Every Child, Everywhere!
www.kickstarter.com
Bring Reading Rainbow’s library of interactive books & video field trips to more platforms & provide free access to classrooms in need!
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Use Bing. Earn Rewards.
www.bing.com
Get rewarded for searching and doing with Bing. Sign up for Bing Rewards and start earning toward rewards including gift cards, Microsoft Points for ...
-
2048 game
gabrielecirulli.github.io
Join the numbers and get to the 2048 tile! Careful: this game is extremely addictive!
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Nature's Engineers – Google Green
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We’re celebrating something close to our hearts, engineers. Whether it’s a towering aspen or a tiny mushroom, nature has plenty to teach us. We're ...


28 Jan 2015
Mex Coding III
MEX PARALLEL
As we talked about, shared memory system will benefit some speedup with parallel computing. MPI is unacceptable for most cases, there are too much overheads.
pthread
Low level programming, use extensive mutex
for multithreading.
OpenMP
Ready to use and easy to integrate. Remember to add -fopenmp
during comp
ACCESS DATA
All data exchange has to be done via its internal format mxArray*
or mxArray-tag
, it holds all information of the data, such as class
, size
, address
, real
, complex
and so on. Matlab provides almost all get
methods which are defined in matrix.h
. Once there was a headerdump
on fileexchange to find out exact data of object in Matlab, but the format of mxArray
changes along versions, it does not work anymore unless modifying it.
PROFILING
tic/toc
is not exact, using profiler
would be better. Put clock()
in code will also work.
MEX VS. LOADLIBRARY
I sometimes experienced hard time with porting codes into MEX domain. It is quite annoying to encounter various problems with internal problem with compiling codes against MEX. However, if I have my ready-to-use codes already built with some library, it is much easier to wrap all things I need to do in pure C/C++ and use loadlibrary
as a workaround, porting time could be a loss but also could be negligible in most cases.
Problematic -lmwblas
and -lmwlapack
I had a tough time on compiling pardiso
interface with Matlab, the manual solution provides me linking options as Matlab uses. However, pardiso
has been upgraded to version 5.0.0
, it no longer supports the old fashioned codes, and could produce errors like MKL Error
.
If compiling pardiso
with MEX support, using -lblas
and -llapack
is fine with compiling process, but would get you crash with Matlab. To overcome the problem:
- preload
lapack
before starting Matlab.
is the only solution I have found. Be careful, lapack
preloading is the only thing needed, blas
is not very important here. The side effect is other functions depending on lapack
maybe get lagged. Especially eig
, lmwlapack
version is ~2x
faster than apt-get
version of lapack.


Unrecognized object list
Image ID
Image Upload Time
Sender
Handling Status
Click To Handle
1
2018/1/2 18:01:02
Sweeper One
Not Handle
Click
2
2018/1/2 18:01:03
Sweeper One
Not Handle
Click
Update Object Catalog
Retrain object classification model
Draw a rectangle of the object at the image
Object Labal :
Object Type :
Paper
Cans
Bottles
Non-Recyclable


For the Source Files list view:
| ALT+Cursor Up | Move selected items up |
| ALT+Cursor Down | Move selected items down |
| CTRL+A | Select all items |
| Delete | Delete selected items |
| Double-click item | Edit / Open item |
| Click item checkbox | Select item for inclusion in Startup Script |


CONTACT US
I would like to send a message to:
Davis Branch
NDHS Branch
Name
Email
Subject
Message
Submit
box1
box2


Basically, the table on the left is where you put the people profiles. On the right, you'll see the profile diagram (once one is drawn).
You can add a profile directly. In the 5 boxes at the bottom of the table, enter the relative information based on the column. Then click the button on the left end of the same row. That will add your new person to the table.
Repeat as desired.
If you've accidentally added a profile incorrectly, you can click on the on the right-end of that row to remove it.
To save you some typing, if you click the button, it will prompt you to save a file which is the table data in a convenient format (... for the tool, not you)
You can re-load the exported data by using the button and selecting the saved file. The file format is a JSON array of arrays.
Now, to display a single person's profile, click on the little grey check-box () to the left of the name in the table. You should see the "diagram" of the CVI profile appear on the right (or possibly below if your browser window is small)
If you click on additional people's checkboxes, the tool will "overlay" each CVI profile on the same drawing. You will see an internal "profile" with a grey box inset on the diagram. This is the "group average" profile -- so you can see if your group is decently balanced. (Ideally it should be square, centered on the middle of the box)
Lastly, if you want to save the drawn diagram, select the type of image you'd like to create in the drop-down menu on the bottom-right of the table The default format SVG (scalable vector graphics) and can also export PNG and JPEG. Once you select the format, click on and you'll download the file.


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.collections4.bag; | |
| 18 | ||
| 19 | import java.io.IOException; | |
| 20 | import java.io.ObjectInputStream; | |
| 21 | import java.io.ObjectOutputStream; | |
| 22 | import java.io.Serializable; | |
| 23 | import java.util.Collection; | |
| 24 | import java.util.Comparator; | |
| 25 | import java.util.SortedMap; | |
| 26 | import java.util.TreeMap; | |
| 27 | ||
| 28 | import org.apache.commons.collections4.SortedBag; | |
| 29 | ||
| 30 | /** | |
| 31 | * Implements {@link SortedBag}, using a {@link TreeMap} to provide the data storage. | |
| 32 | * This is the standard implementation of a sorted bag. | |
| 33 | * <p> | |
| 34 | * Order will be maintained among the bag members and can be viewed through the iterator. | |
| 35 | * <p> | |
| 36 | * A {@link org.apache.commons.collections4.Bag Bag} stores each object in the collection | |
| 37 | * together with a count of occurrences. Extra methods on the interface allow multiple | |
| 38 | * copies of an object to be added or removed at once. It is important to read the interface | |
| 39 | * javadoc carefully as several methods violate the {@link Collection} interface specification. | |
| 40 | * | |
| 41 | * @since 3.0 (previously in main package v2.0) | |
| 42 | * @version $Id: TreeBag.java 1683951 2015-06-06 20:19:03Z tn $ | |
| 43 | */ | |
| 44 | public class TreeBag<E> extends AbstractMapBag<E> implements SortedBag<E>, Serializable { | |
| 45 | ||
| 46 | /** Serial version lock */ | |
| 47 | private static final long serialVersionUID = -7740146511091606676L; | |
| 48 | ||
| 49 | /** | |
| 50 | * Constructs an empty {@link TreeBag}. | |
| 51 | */ | |
| 52 | public TreeBag() { | |
| 53 | super(new TreeMap<E, MutableInteger>()); | |
| 54 | } | |
| 55 | ||
| 56 | /** | |
| 57 | * Constructs an empty bag that maintains order on its unique representative | |
| 58 | * members according to the given {@link Comparator}. | |
| 59 | * | |
| 60 | * @param comparator the comparator to use | |
| 61 | */ | |
| 62 | public TreeBag(final Comparator<? super E> comparator) { | |
| 63 | super(new TreeMap<E, MutableInteger>(comparator)); | |
| 64 | } | |
| 65 | ||
| 66 | /** | |
| 67 | * Constructs a {@link TreeBag} containing all the members of the | |
| 68 | * specified collection. | |
| 69 | * | |
| 70 | * @param coll the collection to copy into the bag | |
| 71 | */ | |
| 72 | public TreeBag(final Collection<? extends E> coll) { | |
| 73 | this(); | |
| 74 | addAll(coll); | |
| 75 | } | |
| 76 | ||
| 77 | //----------------------------------------------------------------------- | |
| 78 | /** | |
| 79 | * {@inheritDoc} | |
| 80 | * | |
| 81 | * @throws IllegalArgumentException if the object to be added does not implement | |
| 82 | * {@link Comparable} and the {@link TreeBag} is using natural ordering | |
| 83 | * @throws NullPointerException if the specified key is null and this bag uses | |
| 84 | * natural ordering, or its comparator does not permit null keys | |
| 85 | */ | |
| 86 | @Override | |
| 87 | public boolean add(final E object) { | |
| 88 |
2
1. add : negated conditional → NO_COVERAGE 2. add : negated conditional → NO_COVERAGE |
if(comparator() == null && !(object instanceof Comparable)) { |
| 89 |
1
1. add : negated conditional → NO_COVERAGE |
if (object == null) { |
| 90 | throw new NullPointerException(); | |
| 91 | } | |
| 92 | throw new IllegalArgumentException("Objects of type " + object.getClass() + " cannot be added to " + | |
| 93 | "a naturally ordered TreeBag as it does not implement Comparable"); | |
| 94 | } | |
| 95 |
1
1. add : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return super.add(object); |
| 96 | } | |
| 97 | ||
| 98 | //----------------------------------------------------------------------- | |
| 99 | ||
| 100 | @Override | |
| 101 | public E first() { | |
| 102 |
1
1. first : mutated return of Object value for org/apache/commons/collections4/bag/TreeBag::first to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return getMap().firstKey(); |
| 103 | } | |
| 104 | ||
| 105 | @Override | |
| 106 | public E last() { | |
| 107 |
1
1. last : mutated return of Object value for org/apache/commons/collections4/bag/TreeBag::last to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return getMap().lastKey(); |
| 108 | } | |
| 109 | ||
| 110 | @Override | |
| 111 | public Comparator<? super E> comparator() { | |
| 112 |
1
1. comparator : mutated return of Object value for org/apache/commons/collections4/bag/TreeBag::comparator to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return getMap().comparator(); |
| 113 | } | |
| 114 | ||
| 115 | @Override | |
| 116 | protected SortedMap<E, AbstractMapBag.MutableInteger> getMap() { | |
| 117 |
1
1. getMap : mutated return of Object value for org/apache/commons/collections4/bag/TreeBag::getMap to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return (SortedMap<E, AbstractMapBag.MutableInteger>) super.getMap(); |
| 118 | } | |
| 119 | ||
| 120 | //----------------------------------------------------------------------- | |
| 121 | /** | |
| 122 | * Write the bag out using a custom routine. | |
| 123 | */ | |
| 124 | private void writeObject(final ObjectOutputStream out) throws IOException { | |
| 125 |
1
1. writeObject : removed call to java/io/ObjectOutputStream::defaultWriteObject → SURVIVED |
out.defaultWriteObject(); |
| 126 |
1
1. writeObject : removed call to java/io/ObjectOutputStream::writeObject → KILLED |
out.writeObject(comparator()); |
| 127 |
1
1. writeObject : removed call to org/apache/commons/collections4/bag/AbstractMapBag::doWriteObject → KILLED |
super.doWriteObject(out); |
| 128 | } | |
| 129 | ||
| 130 | /** | |
| 131 | * Read the bag in using a custom routine. | |
| 132 | */ | |
| 133 | private void readObject(final ObjectInputStream in) throws IOException, ClassNotFoundException { | |
| 134 |
1
1. readObject : removed call to java/io/ObjectInputStream::defaultReadObject → SURVIVED |
in.defaultReadObject(); |
| 135 | @SuppressWarnings("unchecked") // This will fail at runtime if the stream is incorrect | |
| 136 | final Comparator<? super E> comp = (Comparator<? super E>) in.readObject(); | |
| 137 |
1
1. readObject : removed call to org/apache/commons/collections4/bag/AbstractMapBag::doReadObject → KILLED |
super.doReadObject(new TreeMap<E, MutableInteger>(comp), in); |
| 138 | } | |
| 139 | ||
| 140 | } | |
Mutations | ||
| 88 |
1.1 2.2 |
|
| 89 |
1.1 |
|
| 95 |
1.1 |
|
| 102 |
1.1 |
|
| 107 |
1.1 |
|
| 112 |
1.1 |
|
| 117 |
1.1 |
|
| 125 |
1.1 |
|
| 126 |
1.1 |
|
| 127 |
1.1 |
|
| 134 |
1.1 |
|
| 137 |
1.1 |


Name
Email
Time Taken
Score
{{.Name}}
{{.Email}}
{{.TimeTaken}}
{{.TotalScore}}
Question
Time Taken
Score
{{range .Questions}}
{{.Name}}
{{.TimeTaken}}
{{.Score}}
{{end}}
You can view the full report at {{.Ip}}/#/admin/invite/candidate-report/{{.Id}}


This plan baselines existing cyber security¬–related activities and controls at our organization against the Guide to Developing a Cyber Security and Risk Mitigation Plan. For areas covered by existing processes and / or technologies, the plan briefly documents how and where this is accomplished. For identified gaps, the plan documents current deviation from the recommended security controls and specifies whether to accept or mitigate the risk, the actions needed to close the gaps, the responsible party, and the implementation timeline.
This plan baselines existing cyber security¬–related activities and controls at our organization against the Guide to Developing a Cyber Security and Risk Mitigation Plan. For areas covered by existing processes and / or technologies, the plan briefly documents how and where this is accomplished. For identified gaps, the plan documents current deviation from the recommended security controls and specifies whether to accept or mitigate the risk, the actions needed to close the gaps, the responsible party, and the implementation timeline.
This plan baselines existing cyber security¬–related activities and controls at our organization against the Guide to Developing a Cyber Security and Risk Mitigation Plan. For areas covered by existing processes and / or technologies, the plan briefly documents how and where this is accomplished. For identified gaps, the plan documents current deviation from the recommended security controls and specifies whether to accept or mitigate the risk, the actions needed to close the gaps, the responsible party, and the implementation timeline.


Simple HTML5 file uploader created as a plugin for jQuery.
Design your own file input with HTML&CSS or just use our default template
Drag and drop files straight from your desktop and upload directly them
Upload the file directly to server after choosing or dragging it
Choose multiple files from different folders without instantly uploading them
Limit your users to a specific file type, size, number of files or write your own custom validator
Give your users an in-browser thumb preview of images or file extension before they upload
Keep the uploaded files to input for previewing or editing them
Now you can use values or functions to get the information or to manipulate with the file
Customize your input, templates, captions, callbacks and many others
version 13+
version 3.6+
version 6+
version 11.1+
version 10+
that supports HTML5
Distributed under MIT license
Portions of the project are licensed under Apache v2.0
Copyright (c) 2017 Radoslav Salov
Copyright for portions of the project are held by: CreativeDream (c) 2016


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| First Name | Last Name | Age |
|---|---|---|
| Rob | McGowan | 20 |
| Kevin | Chanona | 21 |
| Jose | Chanona | 21 |
| Mike | Chanona | 21 |
| Amanda | Chanona | 21 |
| Ivan | Chanona | 21 |
| Luis | Chanona | 21 |
| Luis | Chanona | 21 |
| Luis | Chanona | 21 |
| Luis | Chanona | 21 |
| Luis | Chanona | 21 |
| Luis | Chanona | 21 |
| Luis | Chanona | 21 |