Rights activist Idris Khattak abducted by unidentified men at Swabi Interchange, says driver
by https://www.dawn.com/authors/3605/sirajuddin, SirajuddinRights activist Idris Khattak was allegedly kidnapped by unidentified men while on his way from Akora Khattak village to Swabi, his driver Shahsawar told police, DawnNewsTV reported on Monday.
In a complaint filed in Anbar police station, Shahsawar said that he was driving Khattak to Swabi when about four unidentified men stopped the activist's car at Swabi Motorway Interchange and kidnapped him. The incident took place on November 13, according to the complaint. Though complaints have been lodged by Khattak's driver and family, police are yet to register a first information report (FIR).
Officials did confirm that Khattak was missing but said an FIR will be lodged after an initial investigation.
Politician Jibran Nasir claimed that the activist was "abducted by intel agencies six days ago on Islamabad Peshawar highway near Swabi Interchange". Nasir said that the driver was abducted along with Khattak but was released after three days. However, the application filed by Shahsawar did not mention any such occurrence.
Meanwhile, the Human Rights Commission of Pakistan (HRCP) demanded Khattak's "immediate recovery", saying that he had "remained associated with progressive politics since his student days".
"HRCP condemns arbitrary detentions and urges the Pakistani state to fulfill its constitutional obligations towards its citizens," the organisation said in a tweet.


The objectives for this lesson are that by the end of the week you will be able to
LOPW06: determine the result of interference between two waves such as in the double slit experiment.
LOPW12: describe the concept of standing waves and determine the sets of wavelengths allowed under different situations.
Instead of a news article, this week we will do our first virtual lab.


Resource Group Types
A resource group defines the resources that will be made available to a user. Every resource added to IBM Spectrum Protect Plus can be included in a resource group, along with individual IBM Spectrum Protect Plus functions and screens. This gives you the ability to finely-tune the experience of a user. For example, a resource group could include an individual hypervisor, with access to only backup and reporting functionality. When the resource group is associated with a role and a user, the user will only see the screens associated with backup and reporting for the assigned hypervisor.
The following resource types and subtypes are available.
| Resource Type | Subtype | Description |
| Access |
|
Used to grant access to roles and users through the Access pane. |
| Application |
|
Used to grant access to viewing individual application databases on an application server in IBM Spectrum Protect Plus. |
| Application Server |
|
Used to grant access to application servers in IBM Spectrum Protect Plus without access to individual databases. |
| Backup Storage | Used to grant access to vSnap backup storage servers. | |
| Hypervisor |
|
Used to grant access to hypervisor resources. |
| Job | Used to grant access to Inventory, Backup, and Restore jobs. The Job resource group is mandatory for all Backup and Restore operations, including assigning SLA Policies to resources. | |
| Report | Report types | Used to grant access to report types and individual reports. |
| Screen | Used to grant or deny access to screens in the IBM Spectrum Protect Plus interface. If certain screens are not included in a user’s resource group, the user will not be able to access the functionality provided on the screen, regardless of the permissions granted to the user. | |
| SLA Policy | Used to grant access to SLA Policies for Backup operations. | |
| System Configuration | Identity | Used to grant access to the credentials required to access your resources. Identity functionality is available through the System > Identity pane. |
| System Configuration | LDAP | Used to grant access to LDAP servers for user registration. |
| System Configuration | Logs | Used to grant access to viewing and downloading Audit and System logs. |
| System Configuration | Script | Used to grant access to uploaded prescripts and postscripts. |
| System Configuration | Script Server | Used to grant access to script servers, where scripts are run during a Backup or Restore job. |
| System Configuration | Site | Used to grant access to sites, which are assigned to vSnap backup storage servers. |
| System Configuration | SMTP | Used to grant access to SMTP servers for job notifications. |
| System Configuration | VADP Proxy | Used to grant access to VADP Proxy servers. |
IBM Spectrum Protect Plus 10.1.2
Licensed Material - Property of IBM Corp. © IBM Corporation and other(s) 2018. IBM is a registered trademark of the IBM Corporation in the United States, other countries, or both. | 8/23/2018


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A good opportunity to test our product for team work
No result expectations.
Also nothing to hide : feel free to ask anything
“ Oh great a 25mn commercial !!! ”
Not gonna happen. Bug me after the presentation if you want a demo of the product.
A team of 4
Kenji Lefevre - Pure Math
Christophe Bourguignat - Eng. / Signal Processing
Mathieu Scordia - Data Scientist
Me (Paul Masurel) - Softw. / Signal Processing
No researcher.
No experience in reranking.
Not much experience in ML for most of us.
Not exactly our job.
No expectations.
At this point,
We are but hobbits
Also, it is only a contest for us
Disclaimer
We did not respect scientific method
Making it supervized learning
Making it supervized learning
We split 27 days of the train dataset 24 + 3 days,
and select test queries just like Yandex.
Where is my X, where is my y?
For all these new test sessions, for each of the 10 urls to re-rank, we compute (using the train sessions) a set of feature X.
The outcome of the url display y will be whether we reached a satisfaction of 0, 1, or 2.
We are trying to rerank to in a way that optimizes NDCG
start simple.
Point-wise approach
Regression / classification?
regression : we keep the hierarchy between the classes, but optimizing NDCG is cookery.
classification : we lose the hierarchy but we can optimize the NDCG (more and that later)
According to
P. Li, C. J. C. Burges, and Q. Wu. Mcrank: Learning
to rank using multiple classification and gradient
boosting. In NIPS, 2007.
Classification outperforms regression.
How do we proceed
We use classification techniques to predict the outcome of each url display independantly
to output the probabilities of the different classes.
SVM forbidden here!
We sort urls by the value of
p(relevancy=1) + 3 p(relevancy=2)
Where is this 3 coming from?
Given a Bayes classifier
We want to optimize
Given a Bayes classifier
(hidden fallacy here)
Given a Bayes classifier
We therefore need to order urls by decreasing
Hence
p(relevancy=1) + 3 p(relevancy=2)
By the way
P. Li, C. J. C. Burges, and Q. Wu. Mcrank: Learning
to rank using multiple classification and gradient
boosting. In NIPS, 2007.
get slightly better results with linear weighting.
Settled for Random Tree Forests
Hyperparameter fitting
We are not doing typical classification here.
It is extremely important to perform grid search
directly against NDCG final score.
Features
First of all the rank
In this contest, the rank is both
The rank that has been displayed to the user
the display rank
The rank that is computed by Yandex using PageRank, non-personalized log analysis?, TF-IDF, etc.
the non-personalized rank
<APARTE>
The problem
with reranking
53% of the competitors could not improve the baseline
Why?
ideal workbench
compute non-personalized rank
select 10 bests hits and serves them in order
re-rank using log analysis.
put new ranking algorithm in prod (yeah right!)
compute NDCG on new logs
What you/yandex can afford
compute non-personalized rank
select 10 bests hits
serve 10 bests hits ranked in order
re-rank using log analysis
compute score against the log with the former rank
The problem here?
Users tend to click on the first few urls.
User satisfaction metric is influenced by the display rank. Our score is not aligned with our goal.
We cannot discriminate the effect of the signal of the non-personalized rank from effect of the display rank
This workflow promotes over conservative re-ranking policy
Even if we know for sure that the url with rank 9 would be clicked by the user
if it was presented at rank 1, it would be probably a bad idea to rerank it to rank 1
in this contest.
Size of the biggest jump in a reranked session
In advertising,
People can afford displaying random stuff. They can (and do) :
compute non-personalized rank
select 10 bests hits
serve 10 bests hits ranked in random order
learn a ranker using log analysis
rank by setting all display rank to 0
</APARTE>
The other features
The meat : informative features
When to rerank : promoting / inhibiting features
Informative features (unexpected)
Revisits (at least 30%)
(Document, user clicks) distance. SVD. failure (why?)
(Document, user query history) distance : tfidf, not finished on time. LDA dropped attempt a bit fast.
Revisits
In the past, when the user was displayed this url, with the exact same query, it ended up by
0 satisfaction 2
1 satisfaction 1
0 satisfaction 0
0 miss
2 skipped
Revisits
We use additive smoothing to make it
0 / (3+1) = 0% satisfaction 2
1 / (3+1) = 25% satisfaction 1
0 / (3+1) = 0% satisfaction 0
(0+1) / (3+1) = 25% miss
2 / (3+1) = 50% skipped
... rudimentary but does the job.
Revisits
That's already five feature. We add
1 An overall counter of display
4 mean reciprocal rank (kind of the harmonic mean of the rank)
1 snippet quality score : twisted formula used to compute snippet quality
11 features
Many variations
(In the past|within the same sesssion),
when (user/anyone)
(with this very query | whatever query | a subquery | a super query)
and was offered (this url/this domain)
A LOT of possibilities !
We investigated 165 of them.
Query features
How complex is a query? How ambiguous is a query?
Click entropy
number of time it has been queried for
number of terms
average position within in session
average number of occurence in a session
MRR of its clicks
User click habits
Click entropy
User click rank counters
Average number of terms
Average number of different terms in a session
Total number of queries issued by the user
Seasonality
Usually clicked on weekend and we're a Monday
Long story short, point-wise approach Random tree forests
Bonsai model, 30 features - 5th place...
... and then LambdaMART (90 features)
2nd place
No regrets we didn't use first, though
LambdaMART : 2 days of learning
Random Tree Forest : 30 minutes, including hyperparameter optimization
The human story
A LOT of work
960+ emails
360+ features
Alarm clocks set at 3:00
Kaggle makes "datascience a sport"
A sport, really?
Trial and Error
Experienced datascientists may stride, and choose their directions
more wisely, this kind of problem is a Random walk
We bruteforced it.
And learnt a lot on the way
Team work worked out great
Yet no "we complete each other".
Mates can fix your code / ideas
4 people will miss less things
Split the hard work
Motivation
Emulation
pampampam pulled the leaderboard up
totally different score distribution than I would have expected
leaderboard not stalling... more time, better results


I'm Cheyenne R Thayer
UX Designer
25 years young, energetic, artist and coffee addict.
KNOW ME BETTERI'm Cheyenne R Thayer
25 years young, energetic, artist and coffee addict.
KNOW ME BETTERHey there! I am Cheyenne R Thayer, a currently-full-time-employed UX Designer. I'm based out of Eugene, OR. I love the outdoors, singing in the rain, pikachu, and doge memes.
Years
Per Hour
Projects Done
I am experienced in branding, web design, frontend development, version control, marketing, image and video editing, and UX design.
I am available evenings and weekends for consultations. Please contact me for a project quote.


Next: Common Case in Pathname Components, Previous: Case in Pathname Components, Up: Interpreting Pathname Component Values
For the functions in Figure~19–2, a value of :local for the :case argument (the default for these functions) indicates that the functions should receive and yield strings in component values as if they were already represented according to the host file system’s convention for case.
If the file system supports both cases, strings given or received as pathname component values under this protocol are to be used exactly as written. If the file system only supports one case, the strings will be translated to that case.


My name is Nick Castañeda and I’m a Web Developer born and raised in Los Angeles. I want to use my skills as a coder and an educator to create innovative products and to improve the world that we live in. When I’m not working, you can find me listening to music (R&B, Alternative, Hip-hop), reading in coffeeshops, or running the hills of Sylmar with my dog, Lando.
Before GA I was a math teacher. As an educator I learned the importance of creativity in problem solving. What works in one situation often doesn’t in another. It takes flexibility and innovation to thrive. Developing personal relationships is also crucial in chasing success. Working in a room with 20 or more conflicting personalities and moods, I saw how quickly misunderstandings can devolve into conflict. Communication and patience are essential, especially in team environments, to making work run smoothly.
While I love working as an educator, I decided to expand my skill set by enrolling in General Assembly’s Web Development Immersive course. At GA I learnt how to make engaging and responsive front-end web-pages, developed strategies for utilizing back-end frameworks, and most importantly rediscovered my love for solving puzzles and creating. In the last few months I’ve built many programs, including three full-stack applications: Politate, Sugar Rush, and Algebra!
I am always learning new technologies, but here are some that I already know:


Example
Let us say that your app tracks information on wineries and that:
- Each winery has many wines that have been produced under its imprimatur, in a number of different years or "vintages."
- Each wine axiomatically belongs to a winery, and also has many reviews written about it.
- Each wine review belongs to both the wine of which it is a subject, and to the reviewer who reviewed it.
Your model associatons might look something like this:
# in app/models/winery.rb
has_many :wines
# in app/models/wine.rb
has_many :reviews
belongs_to :winery
validates :winery, presence: true
# in app/models/review.rb
belongs_to :wine
belongs_to :reviewer, class_name: "User"
validates :reviewer, :wine, presence: true
# in app/models/user.rb
has_many :reviews, foreign_key: :reviewer_id
Let us also say that you have entered into an arrangement with an infamous wine critic, in which she has agreed to let you publish some of her reviews. She isn't willing to recreate the reviews in your app by hand, but she has condescended to provide you a spreadsheet, the first few rows of which might look something like these:
| Winery name | Wine name | Vintage | Rating | Review |
|---|---|---|---|---|
| Ernie & Julio Gallows | chenin blanc | 2009 | 82 | Egocentric yet oxymoronically fleshy Chenin Blanc. Shows bug spray, middle-aged raisin, scant pepper. Drink now through never. |
| Charles Shah | pinot noir | 2008 | 83 | Nearly matured and corpulent Pinot Noir. Essenses of mint, sad dog-breath, perceptable fois gras. Drink now through 2015. |
| Duckhorndog | semillon | 2003 | 99 | Overdressed nevertheless complex and stunning Semillon. Shows kalamata olive, hedonistic nectarine, bashful tomato. Drink now through Friday. |
Great! Now to get those reviews into your database with the correct associations! If there aren't too many reviews, you can hand them off to an intern and ask her to navigate your applicaton to create the reviews, wineries, and wineries all by hand and with the correct associations. Alternatively you might commission a developer to write a script that could do the same thing. But what if this spreadsheet is only the first of many, from a diverse group of infamous wine critics, each of which has slightly different headers and columns?
This is where Buttafly is designed to help out.
Once installed, you can upload a spreadsheet such as the above into a spreadsheet table, which buttafly can then parse. Buttafly knows about your application's models, associations, and validations, and gives you an interface for mapping your spreadsheet columns to attributes in your application's models. For the spreadsheet example above, you would first create a mapping for wineries, then one for wines that belong to those wineries, then users, and then a final mapping for the review which can then be properly associated as belonging to both the user who wrote it and to the wine which is its subject. Once the mappings are created, you can then import the spreadsheet and it will use the mappings to create the correct associated winery, wine, user and review objects.
Getting Started
Add buttafly to your Gemfile with the following line:
gem 'buttafly'
Then from the command line:
bundle install
rake db:migrate
Try it in development first by navigating to localhost:3000/buttafly.
Contributing
After cloning the application, bundling its gems, and migrating the database, you can run your tests with guard from the root of the engine itself:
cd /buttafly
bundle exec guard
To see buttafly running from a dummy app,
cd /buttafly/test/dummy
bundle exec rails s


Form-O-Fill searches for matching rules whenever you visit a webpage or the URL changes.
This is usually enough but for those cases where you need a re-matching of the rules without
one of those two events mentioned above you can use a feature called "Automatic rematch".
If enabled Form-O-Fill will search for matching rules every two seconds.
This is very useful for apps that change the DOM on the fly.
Those changes will not be detected if automatic rematch is turned off.
There are two ways to toggle automatic rematch on or off.
You can use the option in the settings panel or click "Automatic rematch" in the extension popup:
The popup text will turn red if not active and turn green if the automatic rematch is active.
Once active the extension icon text background will also turn green:


THtmlViewer component
procedure LoadFromString(const S: ThtString; const Reference: ThtString = ''; DocType: THtmlFileType = HtmlType);
The LoadFromString method loads a document of the given type from a string.
Reference is an optional reference parameter.


@see
,
{@link}
, and {@linkplain}
tags that refer to the method owning the comment, the super method of the
method owning the comment, or the class containing the comment.
Such links are unnecessary and can be safely removed with this inspection's quick-fix. The quick-fix will remove the entire Javadoc comment if the tag is its only content.
Example:
class Example {
/**
* @see Example#method
*/
public void method() { }
}
After the quick-fix is applied:
class Example {
public void method() { }
}
Use the checkbox below to ignore inline links ({@link}
and {@linkplain}
)
to super methods. Although a link to all super methods is automatically added by the
Javadoc tool, an inline link to the super method may sometimes be needed in texts of the Javadoc comments.


You have just entered an area to be know as Half Elven Programming. Feel free to look around, please do make yourself at home.
I have many things to offer, so go ahead and look around!


${sender.email} has created a new user account for you on Podbase.net.
In order to start using your account, you must activate it and select a password using the link below.
@@{UserController.doActivate(user.activation.activationCode)}
Thanks,
The Podbase Robot


Todo List
Feed Chickens
Gather Chicken Eggs
kajslkdlkasjdlksajldkjsla
Eat Chickens (just kidding)
Eat Chicken Eggs (not kidding)


Immortal Lottery
The Immortal Lottery is a project which serves three main goals:
- Replace a standard "Hello world" definition of sanity tests with a better one applicable for financial applications such as smart-contracts
- Introduce a "Proof of Research" conception
- Ensure a flow of funds for the Callisto Security Department
About
What is the Immortal Lottery?
The Immortal Lottery is an abstract set of rules designed to define a viable Decentralized Application that can be used to test the capabilities of various development platforms during its implementation.
The reference implementation will be written in Solidity and deployed at Callisto Network mainnet. The tokens will be distributed among the participants of the Callisto Network through the airdrop.
Whats wrong with "research"?
The crypto industry is developing very quickly. This is one of the most advanced and newest areas of human knowledge, and therefore everything that you knew a year ago can be hopelessly out of date.
For us who work with smart contracts and security, it's critical to stay informed about everything around. We need to keep track of all alternative smart-contract platforms, their capabilities and downsides.
However, the "research" term is usually negatively perceived by the community. In our industry researching is often used as an excuse for the lack of activity. "Why are there no news? - We were busy researching"
Now it's time to introduce a new type of application that can serve as generalised benchmarking tool for every investigated smart-contract development platform as well as provide a living proof of the research being done.
Why Lottery?
The application was selected based on the following criteria:
- It must be viable. Nobody cares about "hello world" programs when dealing with smart-contracts because blockchains are about money and business logic.
- It must be "immortal". The application must independently function requiring zero interference from the creators side.
- It must be complex enough. The DAPP must challenge critical parts of the development platform and expose its bottlenecks and shortcomings.
- It must be usable. The application must pose some interest for users.
So far, the Telegram lottery bot has proven to be one of the most usable tools in the ecosystem that users keep interacting with. As the result, it was decided to implement a similar on-chain application.
Lottery & Tokens
The Immortal Lottery Dapp implements a special token ($IML) used to claim fees from every lottery round. In order to take part in fee claiming users need to "stake" their tokens in a special reward pool contract.
The lottery allows users to deposit CLO to the contract. Users funds are added to the "prize pool". Each user has a chance to win the total prize pool (with a %fee subtracted) which depends on the users deposit size compared to deposits of other users.
The %fee goes to the additional staking pool. It is redistributed between token stakers proportional to their shares.
Immortal Lottery contracts
The Immortal Lottery DAPP will be composed of multiple parts.
- Lottery contracts. These implement the logic of a gambling DAPP.
- Entropy. These contracts will serve as a source of entropy since there is no built-in randomness feature in the EthereumVM.
- "Reward pool". The contract will serve to redistribute fee revenues among the token holders.
- IML Token. The token allows its holder to claim fees from the lottery prizes.
- Signup contract. Used to connect token holders accounts to their accounts at alternative chains.
The Goal
The reference implementation of the Immortal Lottery will be written in Solidity and deployed at Callisto Network mainnet. After that the functioning system of the contracts will stay there unchangeable.
When we will need to research the capabilities of a new development platform for smart contracts, we will rewrite the lottery code for this platform and deploy it. As the system is intended to have tokens - we will airdrop the tokens on a new chain according to the "registered" accounts at the Callisto Network every time a new version of the lottery is launched at a new chain. A user must create an account at the new chain and assign his newly created address to the already-existing address at CLO chain in order to receive the airdrop.
What is the Immortal Lottery?
The Immortal Lottery is an abstract set of rules designed to define a viable Decentralized Application that can be used to test the capabilities of various development platforms during its implementation.
The reference implementation will be written in Solidity and deployed at Callisto Network mainnet. The tokens will be distributed among the participants of the Callisto Network through the airdrop.
Whats wrong with "research"?
The crypto industry is developing very quickly. This is one of the most advanced and newest areas of human knowledge, and therefore everything that you knew a year ago can be hopelessly out of date.
For us who work with smart contracts and security, it's critical to stay informed about everything around. We need to keep track of all alternative smart-contract platforms, their capabilities and downsides.
However, the "research" term is usually negatively perceived by the community. In our industry researching is often used as an excuse for the lack of activity. "Why are there no news? - We were busy researching"
Now it's time to introduce a new type of application that can serve as generalised benchmarking tool for every investigated smart-contract development platform as well as provide a living proof of the research being done.
Why Lottery?
The application was selected based on the following criteria:
- It should be viable. Nobody cares about "hello world" programs when dealing with smart-contracts because blockchains are about money and business logic.
- It should be "immortal." The application must independently function requiring zero interference from the creators side.
- It must It must be complex enough. The DAPP must challenge critical parts of the development platform and expose its bottlenecks and shortcomings.
- It must be usable. The application must pose some interest for users.
So far, the Telegram lottery bot has proven to be one of the most usable tools in the ecosystem that users keep interacting with. As the result, it was decided to implement a similar on-chain application.
Lottery & Tokens
The Immortal Lottery Dapp implements a special token ($IML) used to claim fees from every lottery round. In order to take part in fee claiming users need to "stake" their tokens in a special reward pool contract.
The lottery allows users to deposit CLO to the contract. Users funds are added to the "prize pool". Each user has a chance to win the total prize pool (with a %fee subtracted) which depends on the users deposit size compared to deposits of other users.
The %fee goes to the additional staking pool. It is redistributed between token stakers proportional to their shares.
Immortal Lottery contracts
The Immortal Lottery DAPP will be composed of multiple parts.
- Lottery contracts. These implement the logic of a gambling DAPP.
- Entropy. These contracts will serve as a source of entropy since there is no built-in randomness feature in the EthereumVM.
- "Reward pool". The contract will serve to redistribute fee revenues among the token holders.
- IML Token. The token allows its holder to claim fees from the lottery prizes.
- Signup contract. Used to connect token holders accounts to their accounts at alternative chains.
The Goal
The reference implementation of the Immortal Lottery will be written in Solidity and deployed at Callisto Netwrok mainnet. After that the functioning system of the contracts will stay there unchangeable.
When we will need to research the capabilities of a new development platform for smart contracts, we will rewrite the lottery code for this platform and deploy it. As the system is intended to have tokens - we will airdrop the tokens on a new chain according to the "registered" accounts at the Callisto Network every time a new version of the lottery is launched at a new chain. A user must create an account at the new chain and assign his newly created address to the already-existing address at CLO chain in order to receive the airdrop.
Road map
A formalized description of the set of rules guiding the DAPP workflow
Reference implementation in Solidity
Signup contract development for inter-chain airdrops
Deployment of the reference implementation: Callisto Network mainnet
Platforms
- EthereumVM (CLO, ETH, ETC, Binance Smart Chain, TRX)
- EOS
- Solana
- ICP


Check out what ecolist can do to help your sustainable lifestyle!
Our service is free and we earn money by using affiliate links, no additional costs for you! No ads!
Our list of eco-friendly alternatives is generated by our users based on real recommendations!
We want to show you the broad spectrum of available eco alternatives to make your life easier.
Our content is checked and approved by hand, based on our strict eco-friendly guidelines.


Embedded tools
Swagger
Hawt.io
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Hawt.io is started! You can find it here:
http://${host}:${hawtioPort}/hawtio
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--path-as-is Tell curl to not handle sequences of /../ or /./ in the given URL path. Normally curl will squash or merge them according to standards but with this option set you tell it not to do that.


Actuarial Analyst II - Oakland, CA
Provide actuarial services to develop best-practice actuarial models and promote implementation Program-wide. Maintain accountability for the development of the organization's rate structure, maintenance of adequate reserves, and development of new products. Provide data/analytic expertise to support actuarial services including financial reporting, trend analysis, utilization studies, rate development and claims liability estimates.
Essential Functions:
- Examines and summarizes statistical data by applying mathematical and statistical knowledge to unpaid claim liability, trend analysis, rate formula, forecasting, and premium analysis.
- Develops and enhances procedures including review for actuarial soundness.
- Analyzes completed work for reasonableness and accuracy, and may recommend specific course of action.
- Supports the performance of in-depth, high level analyses on selected divisional and national research projects.
- Provides technical assistance to Program staff in the planning, execution, and analysis of actuarial studies.
Basic Qualifications:
Experience
- Bachelor's degree with two (2) years of related experience with minimum two (2) exams.
Education
- Bachelor's degree in mathematics, statistics, computer science or similar background.
License, Certification, Registration
Additional Requirements:
- Intermediate level of quantitative skills including understanding of probability, sampling, and descriptive and inferential statistics.
- Excellent analytic and problem-solving skills.
- Working knowledge of primary research methods.
- Some knowledge of data analysis software.
- General application of actuarial concepts and principles.
- Full use and application of standard marketing principles, theories, concepts, and techniques.
- Must be able to work in a Labor/Management Partnership environment.
Preferred Qualifications:
- Three (3) years of related experience with three (3) exams.
- Knowledge of health care industry dynamics and trends preferred.
PrimaryLocation : California,Oakland,Kaiser Center 300 Lakeside St.
HoursPerWeek : 40
Shift : Day
Workdays : Mon-Fri
WorkingHoursStart : 8:00 AM
WorkingHoursEnd : 5:00 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : Salaried, Non-Union, Exempt
Job Level : Individual Contributor
Job Category : Accounting, Finance and Actuarial Services
Department : Actuarial Services
Travel : No
Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.
External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.


click or touch, in map screen, to view description on table and audiovisual medical presentation host link


General information related to this screen
Welcome to hana-cli massConvert command!
This command converts a group of tables to CDS, HDBTable, or HDBMigrationTable format.
See also:
README Documentation


Dark Clown Security
|
God Is With Relaxed People |
Are you sure your security ??
Mr.VR1X
--= We Are =--
-=
Mr.TenAr
|
./Ze2F\.
|
Mr.Shinorez
|
Junior_Eight
|
User01_73r14r4ng
|
Mr.VR1X
|
./Sendpie404
|
LuLlaby007
|
4XD43PTH
|
Hinata007
|
./Mr.201
|
Dfv47
|
Mr.BxrJr
=-
-=
./OM3ST | Raden AR | ./REN =-
Copyright© Dark Clown Security™


Add a top-level domain…
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Open City Database | Frontend
Interface for Application Providers and Users
Login
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password: must contain at least one digit, one lowercase and one uppercase character and must be 6 characters at minimum.
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|
Multi Camera System Simulator 1.14
1.14
|
An asynchronous TCP server for multiple clients. It Waits for new clients while can receiving and sending data. More...
Public Member Functions | |
| void | setupSocket () |
| Open the socket and start the server. The server enters in listening loop where it waits for new clients. | |
| void | writeSocket (string data, int client) |
| send message to client. More... | |
| string | readSocket (int client) |
| Check and read if data has been received for a specific client. More... | |
| void | closeSocket () |
| Close socket. | |
| void | maintainConnection () |
| Keep connection alive, reconnect if connection lost. | |
| int | getNumClients () |
| Return the number of clients connected. | |
| void | stopListening () |
| Stop listening for new clients. | |
| void | deleteClient (int client) |
| Delete a client connected. More... | |
Public Attributes | |
| bool | socketReady = false |
| bool | openSocket = false |
Private Member Functions | |
| void | OnWriteComplete (IAsyncResult ar) |
Static Private Attributes | |
| static int | numClients = -1 |
An asynchronous TCP server for multiple clients. It Waits for new clients while can receiving and sending data.
| public TCPServerAsyn.deleteClient | ( | int | client | ) |
Delete a client connected.
| client | The client's identifier. |
| public TCPServerAsyn.readSocket | ( | int | client | ) |
Check and read if data has been received for a specific client.
| client | The client's identifier. |
| public TCPServerAsyn.writeSocket | ( | string | data, |
| int | cliente | ||
| ) |
send message to client.
| data | The data we want to send. |
| client | The client's identifier. |


Welcome {{user}}! Click
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Hosts
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{% for i in rows %}
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{{i.os}}
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GOCAD Viewer
An example of viewing GOCAD files using the API and straight ES5.
GOCAD Viewer
An example of viewing GOCAD links stored on the web using the API.


My father had a small estate in Nottinghamshire: [1] Gulliver's Travels by Jonathan Swift, 1726 I was the third of five sons. He sent me to Emanuel College in Cambridge at fourteen years old, where I resided three years, and applied myself close to my studies; but the charge of maintaining me,[2] Part I: A Voyage to Lilliput although I had a very scanty allowance, being too great for a narrow fortune, I was bound apprentice to Mr. James Bates,[3] Part II: A Voyage to Brobdingnag an eminent surgeon in London, with whom I continued four years.
1. ^ If you need footnotes this works too
2. ^ Another example footnote for demonstration purposes
3. ^ One more demonstrative footnote here


My name is Jason li!
More Information
{
“skill”: {“back-end”: {“main”: “Django”, “other”: [“flask”, “etc”]}, “front-end”: {“base”: [“html”, “css”, “js”], “used”: [“react.js”, “bootstrap”, “etc”]}, “other”: [“crawler”, “auto-operate”, “data-handle”, “most database”, “etc”] },
“hobby”: [“game”, “music”, “running”, “etc”],
“quote”: “learn to love youself, then love the world!”
}


Cross-Site Scripting is discussed and demonstrated in detail under Purple Belt: Improper Neutralization of Input During Web Page Generation
('Cross-site Scripting'). Please review that section to refresh your memory and also the OWASP link below.
XSS is the second most prevalent issue in the OWASP Top 10, and is found in around two thirds of all applications.
For those interested in learning more about XSS you can watch the following OWASP Ottawa "Deep Dive" presentation.
Challenge Tips and Tricks
Reveal the source ip of the chat users by storing a hidden image into the chat messages on that page.
It must be exactly this html snippet <img src='https://gov.logger.good' width='0px'> .
You will find out that you can inject more than just images, but only that particular html snippet will unlock the challenge.
Analyze the source of the page carefully. You'll notice that XSS is mostly prevented by using Angular templates, except for one particular case.
There's some handy javascript functions in that page to help you out. Simply calling one of these functions from the browser console will generate the type of message you need.
Take a look in the Network tab of your browser debugger. Some of the last entries in messages.json should be very interesting. Some messages are hidden.
Did you know that Chrome lets you copy some of the network requests as a curl command? You should be able to copy the request to put a regular message and replace the message object with the one generated from the console.
If you're missing privKey and pubKey, the JS Encrypt project has a handy page that can help you generate private/public key pairs to use here.
Pay attention to the key names they are case sensitive.
If your challenge code expires, simply resubmit the curl request and reload the messages. Confirm that you have a new challenge code.


Texas sailboats for sale by owner.
Preowned sailboats for sale by owner located in Texas.
http://www.sailboatlistings.com/table/Texas
35 Miles from Center
ford focus 4door racing guysPower boat, Sailboat Prices & Personal Watercraft Values ...
Sailboats · Personal Watercraft · Personal Watercraft. Outboard Motors · Outboard Motors · Boat Trailers · Boat Trailers. Resources. ? Boat & boat towing tips .
http://www.nadaguides.com/Boats
Boats for Sale - SailboatOwners.com
SailboatOwners.com sailboats for sale classified ads. Are you an advertiser who's tired of spam? Our spam filter has blocked 23,471 spammers and scammers.
http://sbo.sailboatowners.com/index.php?option=com_adsmanager&Itemid=284
Good Old Boat - Owners' Associations List
This page is a list of the sailboat owners' organizations we have in our . Alberg 30 Association; Alberg 30 Page (West Coast); Alberg 35 User Group; Alberg 37 . Electra; Pearson Electra; Pearson Email Discussion Group; Pearson Ensign Class . The Benford Design Group; The Central Florida Yacht Club; The Friends of .
http://www.goodoldboat.com/resources_for_sailors/assoc_list.php
Sailboats | eBay
Buy and sell Sailboats, Used Boats, Sail Boat for Sale, Used Sailboat items on eBay Motors online auction.
http://motors.shop.ebay.com/Sailboats-/63728/i.html
Maine sailboats for sale by owner.
Preowned sailboats for sale by owner located in Maine. . Home · Register & Post · View All Sailboats · Search · Avoid Fraud · Terms of Use .
http://www.sailboatlistings.com/location/Maine
Ensign | RaceOneDesign.com
The U.S. boasts fleets located mostly in the Northeast but as far west as Colorado and as far south as Florida. The Ensign was inducted into the Sailboat Hall of .
http://www.raceonedesign.com/directory/one-design-classes/ensign
Pearson sailboats for sale by owner.
Register & Post · View All Sailboats · Search · Avoid Fraud .
http://www.sailboatlistings.com/cgi-bin/saildata/db.cgi?db=default&uid=default&manufacturer=Pearson&view_records=1&sb=date&so=descend
Price: $975
(866) 571-8737
Pearson boats for sale - www.yachtworld.com 2
View new or used Pearson boats for sale from across the US, Europe and Rest of World on www.yachtworld.com. Offering the best selection of Pearson models to choose from. . Pearson Electra (3) . Pearson P30 Sailboat (1) . Pearson Portsmouth 43 Coastal Cruiser, 1973, US$ 57,500, Monroe County, FL, United States .
https://www.yachtworld.com/boats/category/type/Pearson/pg-2
Onedesign.net
The A Scow is the largest and fastest of the scow family of sailboats. . the Blue Jay is a sloop-rigged sailboat primarily sailed on the East Coast, from Florida to Maine. . Originally built by Pearson Yachts as the Electra Day Sailer, this fiberglass . Over 350 have been built; they are raced by large fleets on the west coast of .
http://www.onedesign.net/
Price: $1,000
(877) 614-6455
Beds: 3, Baths: 2
industrial high heat ceiling fanHistory of the Ensign by Gerald Daly
. built, Ensigns are the largest class by far of full-keeled, one-design sailboats in the . The Electra Day Sailer seemed a popular boat from the start: Pearson sold 219 . New York, Miami, Florida; Gibson Island, Maryland; and Falmouth, Maine. . They showed up in the places you would expect, such as the West Coast, the .
http://austinyachtclub.net/fleets/Ensign/history.htm
Sailboats for sale from Sailing Texas, Sailboat Classifieds, sailboat ...
Sailboats for sale, by owners and dealers. Sailing Texas is the .
http://www.sailingtexas.com/cboats.html
(866) 605-6558
Johnson 18 gallery page
A 22 1/2 foot racer/cruiser classic keelboat, the Pearson Ensign . West Coast WW Potter web site . Sailing Association: the slightly smaller Big Guys responsible for sailboat racing in the United States. . A sailing center in Melbourne, Florida .
http://www.johnson18.org/links.html
Good Old Boat - Sailors' Blogs & Sites
Feb 18, 2012 . They have sailed the US east and Gulf coast, Bahamas, Hispaniola, Cuba and the . the cruises he made with Kay Nottbusch in their sailboat named Bettie. . are bringing a 1967 Pearson Ensign back to life - and for a good cause. . Roger Hughes, an Englishman living in Orlando, Florida, started this site .
http://www.goodoldboat.com/resources_for_sailors/sailors_blogs_and_sites.php
Price: $470-$605
(770) 325-1592
Ensign - Sailboat Listings sailboats for sale by owner.
Northeast Sailboat Rescue Freeport Maine 23 Pearson <B>Ensign</B> . Palm Coast Hammock Beach Resort, Florida . 40' Gulf Cape San Lucas 40. Mayo .
http://www.sailboatlistings.com/cgi-bin/saildata/db.cgi?db=default&uid=default&model=ensign&view_records=1&sb=date&so=descend
About Us - Sightsailing | Daily Sailing Cruises | Private & Corporate ...
. a 22 foot Pearson Ensign while his girlfriend ran the 'office'
basically a phone, tattered . beginning at Camp Seagull on the Neuse River in coastal North Carolina. . frigid Newfoundland and Labrador to the tropical Gulf of Mexico and Hawai'i, . Jeff has sailed all over the Florida Keys, Bahamas, Turks and Caicos, from .
http://www.sightsailing.com/about.php
Latitude 38 Links to Non-Commercial Sites
6 days ago . West Coast Buoy Data North · West Coast Buoy Data South . Pacific Coast Interscholastic Sailing Association (PCISA) . Buccaneer 18 · Cape Dory Sailboat Owners Association . Ensign Class Association · Etchells Class . Pearson 365 Owners' Group (forum) . Sail Monster Florida Sailing Community .
http://www.latitude38.com/links.html
(404) 448-4970
Pearson Boats for sale buy sell new used - Boatboss.com
1987 Coastal Pearson Tillitson Hull in Maryland . SailBoats For Sale / Used SailBoats In 1971 William Shaw designed and Pearson starting building the 390 for .
http://www.boatboss.com/?search=Pearson
Boats for sale - The Trailer Sailor
TrailerSailor.com sailboats for sale classified ads . Seaward Slipper 17, 1983, FL, $2,950, Read more . Pearson Ensign, NY, $2,000, Negotiable, Read more .
http://www.trailersailor.com/index.php?option=com_adsmanager&Itemid=299
Boatsville - New and Used Pearson Boats
Used Pearson Boats for sale from boat brokers, owners, and new boat dealers. . bow pulpit, carpet, coast guard pack, compass, depthfinder, dockside power, dodger, . Restored 1963 Ensign 138, all mahogany and teak completely striped with . FRESHWATER PEARSON P30 SAILBOAT The Pearson 30 is a Bill Shaw .
http://www.boatsville.com/makes/pearson/
(866) 572-3487
Bayfront Boat Show
Our show takes place at the best marina on Florida's Gulf Coast, Marina Jack! Leading marine manufacturers for all aspects of boating will be present, including .
http://www.sarasotayacht.com/2012/12/winter-bayfront-boat-show-january-18-20-2013/
Classifieds - The Trailer Sailor
TrailerSailor.com sailboats for sale classified ads . Seaward Slipper 17, 1983, FL, $2,950, Read more . Pearson Ensign, NY, $2,000, Negotiable, Read more .
http://www.trailersailor.com/index.php?option=com_adsmanager&Itemid=298
Boat Search - The Trailer Sailor
TrailerSailor.com sailboats for sale classified ads. Are you an advertiser who's tired of spam? Our spam filter has blocked 23,473 spammers and scammers.
http://www.trailersailor.com/index.php?option=com_adsmanager&Itemid=283
(404) 719-5798
Boat Search - The Trailer Sailor
TrailerSailor.com sailboats for sale classified ads . Seaward Slipper 17, 1983, FL, $2,950, Read more . Pearson Ensign, NY, $2,000, Negotiable, Read more .
http://www.trailersailors.com/index.php?option=com_adsmanager&Itemid=298
Sort By:
Sarasota Yacht & Ship - New and Used Boats for Sale, Riviera ...
Sarasota, FL 34236, USA . has lived in Sarasota for over 6 years now after moving from the Northeast, and loves the warm temperatures and coastal lifestyle .
http://www.sarasotayacht.com/
Price: $1,295
(888) 531-6478
Beds: 4, Baths: 2
thanksgiving dinner and leaving soemone out jihn t mccaleb fayetteAlabama sailboats for sale by owner.
Preowned sailboats for sale by owner located in Alabama.
http://www.sailboatlistings.com/table/Alabama
Price: $1,195
(866) 563-5024
Used Sailboats for Sale
Looking for a pre-owned sailboat? Search thousands of used sailboats for sale from mono-hulls to multi-hulls and sloops to schooners.
http://www.sarasotayacht.com/worldwide-brokerage-search-sail/
AlbergBoatsForSale - Alberg30
Located in Stuart, Florida and on a custom 3 axle trailer. . Located in Bamfield, British Columbia (West Coast Vancouver island). blue hull, . Alberg-designed Pearson Ensign: Located in St. Mary's City, MD. . NortheastSailboatRescue .
http://www.alberg30.org/collaborate/AlbergBoatsForSale
Price: $1,400
(877) 721-3245
Florida Yacht Brokers
About Us. We are located in the heart of beautiful downtown Sarasota on Florida's Gulf Coast. Sarasota Yacht & Ship was the first in Florida to be designated as .
http://www.sarasotayacht.com/about/
Sailboats Boats for Sale -iboats.com
Results 1 - 50 of 325 . 2003 Catalina Sailboat Capri 22 Rockledge FL . Year: 1963, Model: Ensign 22. Make: Pearson Sailboats, Length: 22 ft. 6 in. Locations: .
http://boats.iboats.com/sailboats/
Price: $1,200
(866) 936-6163
Beds: 4, Baths: 3
falls at sope creek marietta georgiaYacht Brokers - Boat Evaluation
Sarasota, FL 34236, USA . has lived in Sarasota for over 6 years now after moving from the Northeast, and loves the warm temperatures and coastal lifestyle .
http://www.sarasotayacht.com/market-value-analysis/
505 Sailboat boat covers -- The Sailors Tailor
I received the 505 top cover today. It is absolutely perfect! It fits like a glove and is exactly what I was looking for. Great job! --PD, FL ......More Testimonials .
http://www.sailorstailor.com/products.asp?cat=15
(770) 783-3225
Sell Your Yacht - Yacht Brokers
This event has proved to be one of the most successful shows on the West Coast of Florida. Even if your vessel is not present in the show, its photos and .
http://www.sarasotayacht.com/sell-your-yacht/
Boat Reviews - Southwinds Magazine
Oct 1, 2003 .  Sailboat Row/Salt Creek Marine District/Tampa Bay FL. 14 . Bubba Meets Carmen Electra .
http://www.southwindssailing.com/pdfs-issues/southwindsoctober2003.pdf
Price: From $599
(678) 819-9388
BoatUS: Seaworthy
Holmes Beach, Florida. I keep my sailboat on a mooring in the North Chesapeake. . We keep our Pearson 30 (converted to a wheel steering system) on a mooring in a bay off . ship, an old steel hulled fishing trawler off the Carolina coast with a similar problem. . The Ensign magazine, from USPS had an idea that I used.
http://www.boatus.com/seaworthy/birds/default5.asp
Results per Page:
Top 10 Reasons to Buy a Boat in Florida
Our reasons to buy a boat in Florida For so many reasons Florida is a great place for the boating lifestyle. Here are our top 10 reasons why.
http://www.sarasotayacht.com/2013/01/top-10-reasons-to-buy-a-boat-in-florida/
Texas sailboats for sale by owner.
Preowned sailboats for sale by owner located in Texas.
http://www.sailboatlistings.com/table/Texas
35 Miles from Center
ford focus 4door racing guysYou can use this form to contact the manager of this property and check availability for your desired move-in date:
You can use this form to contact the manager of this property and request information about special incentives:
Riviera Yachts for Sale
Sarasota Yacht & Ship offers new Riviera Yachts for sale on the U.S. Gulf Coast and West Coast of FL. Read about all the exciting happenings going on at .
http://www.sarasotayacht.com/riviera/
Brokerage Inventory - Sarasota Yacht & Ship Services, Inc.
Looking for a pre-owned sailboat? . Sarasota, FL 34236, USA . now after moving from the Northeast, and loves the warm temperatures and coastal lifestyle .
http://www.sarasotayacht.com/brokerage-inventory/
9 Yachts for Charter in Penobscot Bay Maine YachtWorld Charters
The Hunter Legend 40 is one of the most successful cruising sailboats ever produced. . Pearson Ensign 22` Daysailer Starting at 1,050 USD per week .
http://www.yachtworldcharters.com/charter-destination-results/penobscot-bay-maine
Sailing Magazine
Results 1 - 20 of 771 . The average price of a sailboat, and this includes all makes and models, from an . A 40-year old Pearson Ensign is just as much fun to sail today as it was when . This was a West Coast trend in the 1960s and 1970s, when cruising . He founded Morgan Yachts in St. Petersburg, Florida, in 1962, and .
http://www.sailingmagazine.net/component/alphacontent/3-boats-and-gear
POWER STRUGGLE : Heather Steinberger Writer
Aug 16, 2011 . Today the only definition that seems to fit is 'a sailboat with a . and his family owned a series of boats from a Pearson Ensign up to a Tartan . Four years later, I was transferred to San Francisco and have been sailing the West Coast as . a Pacific Seacraft 32, which he sailed from San Francisco to Florida.
http://writeonllc.com/2011/08/power-struggle-2/


All content is licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
© {{ site.time | date: '%Y' }} {{ site.name | default: site.title }}. {{ site.data.ui-text[site.locale].powered_by | default: "Powered by" }} Jekyll & Minimal Mistakes.


A software engineering student who likes software development, cats, and adventures
I will be graduating with my Bachelor's of Software Engineering this April (finally). Besides writing code, some things I like in no particular order include but are not limited to travelling, cats, hikes, picking up and putting down heavy things, playing Kirby in Smash Ultimate, the colour food cooking food, and definitely eating food. Oh and coffee. But as a developer surely that should be a given, right?
Brandon Zhou-Charles
Bachelor of Software Engineering at the University of Victoria
Victoria, British Columbia, Canada, Earth
Want to find out more about me? That's great! Shoot me an email and we can start chatting or grab a coffee, even if it's just to discuss my amazing pool skills or how awesome cats are.


This large island has one of the highest mountains of any island in the Adriatic. It lies off the coast just south of Split.
Position 43°19.6'N, 16°27'E (Milna) to 43°17.1'N,16°52.6'E (Sumartin).
There are several harbours on this island, from Milna on the west coast to Sumartin on the east. Bol is the only one on the southern side. The others mentioned are all on the northern coast.
Going round the island clockwise, these are the ports:-
Milna
This is the best sheltered harbour. There are two marinas here. The quay opposite the fish factory is uncomfortable due to the speed at which the ferry passes this stretch. The main quay is very conveniently positioned but is often full of charter boats. Marina Vlaska is in the inlet opposite the fuel berth.
Supetar
This harbour suffers from surge caused by the ferries and tripper boats, also the afternoon breeze can cause an uncomforatable chop. Berth alongside the inner breakwater or in the inner harbour where there is space.
It is also possible to anchor in the bay to the west of the harbour for a short trip ashore.
Splitska
Lying just 2NM E of Supetar. The southwestern arm of this two pronged inlet provides an anchorage in 3 to 8m. The south eastern arm has a quay in front of the village. Both arms are exposed to the northerly winds.
Pucisca
This is an attractive town with many old houses and several castles. The harbour is in the SW arm of this long inlet. Moor stern-to in the main part of the harbour. Not a comfortable harbour in strong winds bora.
Povlja
Good shelter in most winds. Berth behind the pier, if possible, otherwise moor to the quay.
Sumartin
A southerly wind causes a big swell in this harbour, otherwise it is sheltered. Berth stern-to in the main harbour.
Bol
Good shelter except from the SW. Berth where there is space.
Last updated February 2014.


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{%extends "django_registration/base.html"%} {% load bootstrap3 %} {% block content %}
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This tool instantly converts JSON into a Protobuf. Paste a JSON structure on the left and the equivalent Protobuf will be generated to the right, which you can paste into your program. The script has to make some assumptions, so double-check the output!
For an example, try converting JSON from the GitHub API.
View on GitHub • Inspired by JSON-to-Go
| JSON | → | Protobuf |
|---|


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Website
The 7th Magazine
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Website
Twin Image Design Website
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Website
2019 ELE Conversational Website Mock Up
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Video
Jacques International Language Academy Promo Video
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Video
Lingtong Winter Camp Promo
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Graphic
Prism Logo Design
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Hackathon
VandyHack - Vanderbeilt 2018
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Website
US-China Cultural Exchange Inc Website
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Hackathon
TadHack 2018
-
Video
Interprofessional Project (IPRO)
-
Project
Book Tracker
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Graphic
Office of Professional Development Brochure Design
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Project
DIY Arduino TV Ambien Light


STEP 1.
Please Start Trade. Please fill in the security answers. Answers must be at least 4 letter long and at most 26 letter long.
STEP 2.
Please select image of secret drawing background. Paste only images link address!
STEP 3.
Please draw your secret drawing to login to Trade room. Use more than 4 lines!


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ELECTION By Pat Canavan
Comparative only to "Go" as the years most original comedy, Alexander Payne's new film "Election" supplies enough dry wit and trenchant humor to place it in a category that is far beyond what we would expect from the quintessential "teen comedy." Whereas most teen movies are cast based upon looks (i.e.: I Still Know What You Did Last Summer), Election is one of the few that eyed for talent, something very refreshing for those looking for substance in the recent abundance of low-quality teen films.
Although Reese Witherspoon has a large role as the ambitious and overachieving Tracy Flick, the film is centered on the mundane life of teacher Jim McAllister (Matthew Broderick). Everyday he goes through the routine of running around the track, taking a shower, and preparing his lessons. The monotony of his life is cleverly shown in a scene in which he is shown over and over explaining the difference between executive, legislative, and judicial. As he is giving a lecture on morals and ethics, he seems reluctant to call on the anxious Tracy, and almost annoyed at her zeal. It's ironic that morals and ethics would eventually come back to haunt him.
Tracy is asked why she puts up posters even though she is running unopposed for president in the upcoming school election. "Coca-Cola is the number one soft drink company in the world without any major competitors," she responds. "But they spend millions of dollars on advertising. I guess that's how come they stay number one."
McAllister is unnerved when he finds out that his colleague has had an affair with Tracy. "He's the type of guy who became a teacher because he never wanted to leave high school," McAllister explains. He then becomes even more worried he realizes that Tracy will win the election, and they will have to spend a lot of time together. He tries to inspire Paul Metzler (Chris Klein), the athlete who seems to be more caring than the archetypal popular jock, to run for office. "Maybe it's time to give something back," he tells him. Metzler eventually decides to run, and when he starts to date the love interest of his lesbian sister, she enters the race as well, seemingly just despite him. It is in fact his sister Tammy, who turns out to be the dark horse in the election, after her rousing speech on the meaninglessness of a student body.
By using coarse sexual dialogue, unexpected viewpoints, and freeze-frames at the strangest of moments, Payne is able convey his dark humor with a sense of quirkiness that is both amusing and remarkably engaging.  The success of this type of offbeat high school movie could also be seen in last year's "Rushmore."
Reese Witherspoon is able to give the best performance of her young career. Her voice embodies the determination of someone who will stop at nothing in order to assure their success. The walls of her room are laden with posters that are more likely to be seen in a classroom rather than teenagers. On the night before the election, her candor is seen when she prays, "Dear Jesus, I really must insist that you help me win this election, because I deserve it."
The performances of Broderick and Witherspoon power Alexander Payne and Jim Taylor's (who previously collaborated on Payne's first movie "Citizen Ruth" in 1996) script to play perfectly on the screen. Election's sophistication and attention to the times rivals John Hughes teen classic "Sixteen Candles," and looks even better when compared to today's teen movies.
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This is the place about me. Although, most of it is not complete for now, it will be complete at a correct time …


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4 as a starter or 2 as a main course
This is best served as a starter. Sucking the sweet sauce off the juicy crustaceans is an experience to be savoured, never hurried. Shelled and unshelled prawns are both fine to use. Serve with a green salad and hunks of crusty bread.
Preheat the oven to 200C/400F/Gas 6.
Heat the lime juice, whisky and sugar in a saucepan over a medium heat, stirring gently, until the sugar has dissolved. Once the sugar has all dissolved, stop stirring, turn up the heat and boil for 5–7 minutes, or until the mixture becomes syrupy and thickens. To tell if it is ready, dip a wooden spoon in the mixture and tap off the excess – some glaze should still stick to the spoon, but it will not be as thick as honey. (Sometimes the whisky catches alight and you will see a blue-orange flame coming from the pan. Just take it off the heat and the whisky will burn itself out. )
Stir in the finely grated lime zest, then remove the pan from the heat and set aside.
Put the prawns in a shallow ovenproof dish and sprinkle over the chilli. Brush the prawns with the oil and then with the glaze. Bake in the oven for 10–15 minutes, or until the prawns turn opaque. Remove from the oven and brush with more glaze, reserving any extra glaze for dipping, and set aside to cool slightly before serving.


Simultaneous localization and mapping (SLAM) is the process of simultaneously estimating the position and orientation (pose) of one or more cameras, in addition to the locations of all observed features, within a pre-defined coordinate system. This process can be carried out in one of two different ways: full SLAM and online SLAM. Full SLAM is the process of simultaneously estimating all image poses, and the positions of all observed features, within a collection of overlapping images. This is also referred to as the bundle adjustment in the photogrammetric literature. This can be contrasted to online SLAM in which camera poses and object feature locations are estimated incrementally as new images become available.
Within the context of both SLAM problems, one major task is to estimate a feature based map of the environment under observation. A feature based map consists of a set of geometric primitives (e.g. points, lines, polygons) and an associated descriptor that is meant to uniquely characterize the primitive allowing it to be distinguished from other primitives within the map. The locations of these observed geometric primatives can be related to the pose of one or more cameras via the imposition of conditions of collinearity or coplanarity, affording the ability to simultaneously localize and map. The full parameterization of this problem is referred to as the combined state vector, and is typically modelled as a non-linear system with gaussian noise.
Recursive State Estimation
The process of simultaneously estimating a map of a given environment and the kinematic state of a mobile platform located within the environment can be modelled recursively. This process computes these estimates of state as a function of all prior state estimates of the platform, any inputs that control the motion of the platform, and sensor based observations of the environment. The prior states, the control inputs, and the sensor observations, are all estimated along with an associated measure of uncertainty. The challenge in performing recursive estimates of the platform's state and its mapping of an environment involves the means through which uncertainties are modelled and minimized.
Typically in recursive state estimation one makes the Markov Assumption: that the future state of the system depends only upon the current state of the system, the next control command, the next set of sensor observations, and is conditionally independent of all other prior states, controls and observations. Thus one can use this assumption, in addition to probabilistic laws, to define probabilistic models that can generate recursive state estimates. The conditional relationship between the predicted future state given the current state and next control command can be modelled as: $$p(x_{t}|x_{0:t},z_{1:t-1},u_{1:t}) = p(x_{t}|x_{t-1},u_{t})$$ Similarly, one can model the conditional relationship between the sensor observations given the predicted state as: $$p(z_{t}|x_{0:t},z_{1:t-1},u_{1:t}) = p(z_{t}|x_{t})$$ The resulting models are referred to as the state transition probability and the measurement probability respectively. The two models can be used in combination to perform a recursive procedure in which the prediction of the uncertain future state is computed using the state transition model, and the prediction is then refined by estimating the state given the measurement model. Numerous techniques integrate deterministic and stochastic models into both the state transition model and the measurement model. Such recursive estimation techniques, as applied to the simultaneous localization and mapping problem, is the focus of this article
Gaussian Filters
A multi-variate Gaussian Distribution can be modelled as: $$p(x) = det(2\pi\Sigma)^{-\frac{1}{2}}exp[-\frac{1}{2}(x-\mu)^{T}\Sigma^{-1}(x-\mu)]$$ Where $x$ is the state vector, $\mu$ is the mean state, and $\Sigma$ is the state covariance matrix. This is referred to as a moments based representation of the system state. The most common algorithm for linear recursive estimation is the Kalman Filter.The Kalman Filter
The Kalman Filter models the state transition as: $$x_{t} = A_{t}x_{t-1} + B_{t}u_{t} + \epsilon_{t}$$ Where $A$ is the State Transition Matrix, $B$ is the Control Transition Matrix and $\epsilon$ is the noise term that models the Gaussian Uncertainties in the combined state estimate and control commands. The state transition probability can be modelled as: $$p(x_{t}|u_{t},x_{t-1}) = det(2\pi R_{t})^{-\frac{1}{2}}exp[-\frac{1}{2}(x_{t}-A_{t}x_{t-1}-B_{t}u_{t})^{T}R_{t}^{-1}(x_{t}-A_{t}x_{t-1}-B_{t}u_{t})]$$ In this case $R$ is the State Transition Covariance Matrix. In a similar manner, the Kalman Filter models the sensor measurements as: $$z_{t} = C_{t}x_{t} + \delta_{t}$$ Where $C$ is the Measurement Matrix and $\delta$ is the noise term that models the Gaussian uncertainties in the measurements. The measurement probability can be modelled as: $$p(z_{t}|x_{t}) = det(2\pi Q_{t})^{-\frac{1}{2}}exp[-\frac{1}{2}(z_{t}-C_{t}x_{t})^{T}Q_{t}^{-1}(z_{t}-C_{t}x_{t})]$$ Finally, it is important to define the initial state of the platform $x_{0}$ and the initial covariance $\Sigma_{0}$ characterized, once again, by Gaussian Uncertainties as follows: $$p(x_{0}) = det(2\pi\Sigma_{0})^{-\frac{1}{2}}exp[-\frac{1}{2}(x_{0}-\mu_{0})^{T}\Sigma_{0}^{-1}(x_{0}-\mu_{0})]$$ The Kalman Filter can be computed using the following algorithm: $$\bar{\mu}_{t} = A_{t}\mu_{t-1} + B_{t}u_{t}$$ $$\bar{\Sigma}_{t} = A_{t}\Sigma_{t-1}A^{T}_{t} + R_{t}$$ $$K_{t} = \bar{\Sigma}_{t}C_{t}^{T}(C_{t}\bar{\Sigma}_{t}C_{t}^{T} + Q_{t})^{-1}$$ $$\mu_{t} = \bar{\mu}_{t} + K_{t}(z_{t} - C_{t}\bar{\mu}_{t})$$ $$\Sigma_{t} = (I - K_{t}C_{t})\bar{\Sigma}_{t}$$ Given the algorithm above, one may notice the variable $K$, referred to as the Kalman Gain. The Kalman Gain can be seen as a correction applied to the predicted state based upon the sensor measurements. It determines how much of an influence the measurements will have on refining the predicted state to generate the final state estimate for the given estimation epoch. It is important to recognize that this step in the algorithm involves the inversion of the predicted state covariance matrix and the process covariance matrix, which can be a costly operation given a high dimensional system.
Unfortunately, the Kalman filter relies on 3 important assumptions that are often violated in practice:
- Unimodality
- Gaussianity
- Linearity
The Extended Kalman Filter
The Extended Kalman Filter is a variation of the Kalman Filter for handling violation of the linearity assumption when faced with a non-linear State Transition model or a non-linear Measurement Model. This is often the case in mobile mapping, as traditional kinematic and sensor models are typically non-linear. The non-linear state transition model $g$ and measurement model $h$ can be expressed as: $$x_{t} = g(u_{t},x_{t-1}) + \epsilon_{t}$$ $$z_{t} = h(x_{t}) + \delta_{t}$$ In this case the state solution is not an exact solution, but an apprioximation that is achieved by transforming the models from a non-linear representation into a linear representation via the process of linearization. Additionally, when a Gaussian State Estimate is propagated into its future state through a non-linear model, the resulting uncertainties within the estimate are no longer Gaussian. Linearization approximates the functional models by computing a linear approximation that is tangent to the function at the mean of the assumed Gaussian distribution, resulting in a Gaussian posterior distribution. Thus the Extended Kalman Filter handles models that are non-linear and potentially non-gaussian via the process of linearization.
When computing state estimates based upon non-linear models with an EKF, a first-order Taylor Expansion is used to linearize the functions. The linearized forms of the state transition model and measurement model are expressed as: $$g(u_{t},x_{t-1}) \approx g(u_{t},\mu_{t-1}) + g'(u_{t},\mu_{t-1})(x_{t-1} - \mu_{t-1})$$ $$ = g(u_{t},\mu_{t-1}) + G_{t}(x_{t-1} - \mu_{t-1})$$ $$h(x_{t}) \approx h(\bar{\mu_{t}}) + h'(\bar{\mu}_{t})(x_{t}-\bar{\mu}_{t})$$ $$ = h(\bar{\mu_{t}}) + H_{t}(x_{t}-\bar{\mu}_{t})$$ The Extended Kalman Filter is then computed using the following algorithm: $$\bar{\mu}_{t} = g(u_{t},\mu_{t-1})$$ $$\bar{\Sigma}_{t} = G_{t}\Sigma_{t-1}G^{T}_{t} + R_{t}$$ $$K_{t} = \bar{\Sigma}_{t}H_{t}^{T}(H_{t}\bar{\Sigma}_{t}H_{t}^{T} + Q_{t})^{-1}$$ $$\mu_{t} = \bar{\mu}_{t} + K_{t}(z_{t} - h_{t}\bar{\mu}_{t})$$ $$\Sigma_{t} = (I - K_{t}H_{t})\bar{\Sigma}_{t}$$
The Information Filter
In contrast to the Kalman Filter, which represents the moments form of the Gaussian Filter, the Information Filter represents the Canonical form of the Gaussian Filter. The information filter is expressed in terms of the Information Matrix $\Omega$ and the Information Vector $\xi$. It is related to the State Vector $\mu$ and the State Covariance Matrix $\Sigma$ as: $$\Omega = \Sigma^{-1}$$ $$\xi = \Sigma^{-1}\mu$$ Similarly, the State Covariance Matrix and State Vector can be recovered from the Canonical representation as: $$\Sigma = \Omega^{-1}$$ $$\mu = \Omega^{-1}\xi$$ The Multivariate Gaussian Distribution can be expressed in terms of its Canonical form as: $$p(x) = \eta exp(-\frac{1}{2}x^{T}\Omega x + x^{T}\xi)$$ The negative logarithm of the Canonical Gaussian is another important form of the probability model: $$-logp(x) = const + \frac{1}{2}x^{T}\Omega x - x^{T}\xi$$ The Information Filter algorithm assumes that the state transition matrix model and the measurement model are the same linear model used in the Kalman Filter, and the same noise processes exist in those models. The information filter is computed using the following algorithm: $$\bar{\Omega}_{t} = (A_{t}\Omega_{t-1}A^{T}_{t} + R_{t})^{-1}$$ $$\bar{\xi}_{t} = \bar{\Omega}_{t}(A_{t}\Omega_{t-1}^{-1}\xi_{t-1} + B_{t}u_{t})$$ $$\Omega_{t} = C_{t}^{T}Q_{t}^{-1}C_{t} + \bar{\Omega}_{t}$$ $$\xi_{t} = C_{t}^{T}Q_{t}^{-1}z_{t} + \bar{\xi}_{t}$$ One major difference between using the Information Filter in contrast to the Kalman Filter is the computationally intensive step resulting from Matrix inversion. In the Kalman Filter, the prediction stage involves matrix addition where as in the Information Filter it involves 2 matrix inversions. The measurement stage, in turn, involves matrix inversion for the Kalman Filter, and matrix addition for the Information Filter.
The Extended Information Filter
Similar to the case of the Extended Kalman Filter, the Extended Information Filter is an extension of the Information Filter for the case where the assumptions of linearity, and thus Gaussianity, are violated. Identical to the EKF, the EIF is designed to handle non-linear state transition and measurement models. The EIF algorithm is outlined as follows: $$\mu_{t-1} = \Omega^{-1}_{t-1}\xi_{t-1}$$ $$\bar{\Omega}_{t} = (G_{t}\Omega_{t-1}G^{T}_{t} + R_{t})^{-1}$$ $$\bar{\xi}_{t} = \bar{\Omega}_{t}g(u_{t},\mu_{t-1})$$ $$\bar{\mu}_{t} = g(u_{t},\mu_{t-1})$$ $$\Omega_{t} = H_{t}^{T}Q_{t}^{-1}H_{t} + \bar{\Omega}_{t}$$ $$\xi_{t} = H_{t}^{T}Q_{t}^{-1}[z_{t}-h(\bar{\mu}_{t})-H_{t}\bar{\mu}_{t}] + \bar{\xi}_{t}$$ Given that the state transition and measurement models are non-linear, linearization is once again performed to transform the non-linear function into a linear approximation that can produce a Gaussian Posterior state estimate. It is a consequence of this linearization, performed within the state space, that requires the recovery of the state vector at each iteration of the algorithm. Within the context of SLAM, there are multiple benefits to the information filter when compared to the Kalman Filter:
- The ability to represent global uniform uncertainty by setting the Information Matrix to the Zero Matrix
- The Information Filter often attains greater numerical stability than the Kalman Filter in practice
- The Integration of sensor data from multiple platforms, when presented in the log likelihood form of the information filter, can be performed as an addition of the information from each platform
- The need to recover the state estimate at each estimation epoch in the Extended Information Filter
- The need to perform matrix inversion in both the recovery of the state vector for linearization, and the predictive step of the filter. This can be an issue for high dimensional state spaces
Online SLAM
The purpose of simultaneous localization and mapping is to map an unknown environment while simultaneously determining the position and orientation of the mapping platform within the map. One variant of this problem is known as online SLAM in which the state estimate consists of the current epoch's pose along with the map. This can be computed incrementally in terms of the posterior probability of the estimated state and map as: $$p(x_{t},m|z_{1:t},u_{1:t})$$ The Extended Kalman Filter is one of the most common implementations of the online
EKF SLAM
The Extended Kalman Filter is the classical method of Online SLAM which provides a moments based representation of the SLAM problem in terms of the state vector and state covariance matrix. The goal of EKF SLAM is to simultaneously generate the maximum likelihood point estimate for the camera pose at each epoch in addition to a growing map of observed feature based landmark locations. Initially, as only a small number of features are observed, the complexity of the problem is relatively small. As the number of observed features in the map grows, so too does the number of features modelled within the combined state vector and state covariance matrix, increasing the computational complexity of the algorithm. Additionally, the fully populated structure of the state covariance matrix results in a fully populated Kalman Gain eliminating the ability to use sparse linear algebra techniques to expedite the computations.
Finally, as each state estimate is recursively dependant upon the prior estimate, divergence between the estimated value and the expected value of the state diverges over time due to linearization errors, initialization point, outlier observations, approximate nature of the linearization point, and violations of the gaussian assumption regarding the form posterior distribution of the state estimate. Other complexities within the estimation process, such as incorrect landmark matching between image frames,
EIF SLAM
The Extended Information Filter is a duality of the EKF. It provides a canonical representation of the state of the system in terms of the information vector and information matrix. Unlike the EKF, which is suited to solving the online SLAM problem, the EIF is only capable of solving the full SLAM problem as it computes the posterior distribution of the entire map and robot trajectory at each estimation epoch. The main benefits of the extended information filter relate to the availability of all data and prior estimates at each estimation epoch, allowing for improved linearization, data association, and lower incidence of estimates diverging from their expected value, when compared to the EKF. Additionally, it can handle issues such as erroneous feature matching, higher uncertainties in motion, and larger maps than the EKF.
Within the EIF, the relationship between successive state estimates and control commands can be thought of constraints between two successive states, where the uncertainty inherent in this constraint is modelled in the information matrix. Similarly, observations to landmarks performed at a given estimation epoch can be thought of as a constraint between that epoch's pose and the observed landmark, as modelled in the information matrix. In both cases, the less noisy, and the more certain, a control or measurement is, the larger the value added to the information matrix. Sparsity in the information matrix naturally occurs as off diagonal elements that are non-zero occur with the exception of these control commands mapping successive poses, and landmarks observed at a given estimation epoch. This is the real power in the Extended Information Filter: the use of sparse techniques for matrix inversion, and its ability to expedite computations for large maps.
One challenge to the use of traditional sparse matrix methods inherent in the SLAM problem related to the large time delay in which the same feature is observed due to the cyclical nature of many environments, and how that is encoded in the information matrix. This can be resolved by incorporating a factorization trick for variable elimination in which
Sparse Extended Information Filter
The Sparse Extended Information Filter is an augmented version of the EIF that allows for online estimation of the SLAM problem while simultaneously taking advantage of the sparsity of the information matrix. Within the information


| DOSE: |
1 bowl |
smoked |
Cannabis |
(plant material) |
After getting supremely messed on new years eve of this year, my best friend and I were feeling kinda mellow for new years night (hungover, whatever you want to call it). We had been driving around for a little while, and had smoked a bowl or two, when we decided we wanted to see a movie. We went to the end of a dead end road to smoke a bowl before we went to the theater.
Since his mother doesnt like us smoking in the car, I packed my pipe in the car, and we got out to spark it. As soon as I held up the lighter to the bowl, all of the sudden there are headlights and a spotlight right on us. I half-panicked, and threw the still packed bowl into the weeds. Also, I had a pill bottle with about 10 bucks worth, which I decided to eat quickly (dropping the bottle) before approaching the cop, who was yelling at us to keep our hands visible.
He frisked us up against the car, and asked what we were doing. We were pretty cooperative (=still kinda stoned), so when he asked what I had thrown into the weeds, I first said 'umm, nothing' to which he replied 'dont bullshit me, I'm just going to find it anyways'. So I told him it was a pipe, and when he asked me what was in it, I said 'pot, sir'. He told us that if it was just pot then it wasnt a big deal.
We got put in the back of separate cop cars (they guy had called 3 other backup cars) and the cop asked me about priors. I told him I had been arrested for felony criminal mischief a year earlier and that the case was closed. The other officers went looking for my pipe.  I went halfway into the weeds, and realizing I had no clue where it was, I said 'Sir, I really dont have any idea where it landed.' he said, well you had better find the damn thing, or we are going to be out here all night finding it.'
Then he just 'happened' to shine his flashlight on it, and my pipe was laying in the snow, face up, still packed, perfectly placed. I picked it up and handed it to him, and he asked what was in it.  Instead, I was polite and said what it was.
They took me back to the police car. They had searched my friends car in the meantime, with his permission, because we had nothing else on us. Finally the first cop at the scene came back (he was extremely cool and fair to us throughout the entire thing), and said 'I can either arrest you and your friend for trespassing and possession, or you can destroy your pipe'.  It turns out he was even cooler than I thought, because when it came time to do the deed, he only made me throw it back into the weeds, and not actually break it.
We went back to my house to get a little bit more pot and roll a joint, but I was very upset about the loss of my pipe, which I hope to find someday.
All in all, the cop was very cool to us, and although I am a hard core believer in my rights, if you have only a little bit of pot on you and the cop seems nice enough, you might just be better off being cooperative. I think they are really looking for real drugs and arent going to bother two kids smoking a bowl on a boring night.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


I’m a scientist. I think in terms of what I can see and manipulate. Part of my training included a large amount of time making changes in systems, observing results, and making new changes in order to answer a question. It was systematic, measured, and thorough. Naturally, that tendency bleeds over into my relationships, parenting, hobbies, and ... Read more 29 Aug 2014 - 2 minute read
In case you missed it, there were two big stories in the past two weeks about schools selling or destroying their student devices. The Atlantic posted “Why Some Schools Are Selling Their iPads” and took a deep-dive into which device is the “best for interactive learning.” Additionally, Hoboken, NJ, made headlines when they publicly claimed “givi... Read more 12 Aug 2014 - 3 minute read
Do a quick Google search for “disrupt education.” It seems 2013 in particular was a boom for companies looking to disrupt the current education system: MOOCs, apps, product launches, startups…pick your poison. Disrupting the education space is the wrong way to influence change. Disrupting has longevity issues. To be noticed in the ... Read more 04 Aug 2014 - 3 minute read
Before starting this post, please go back and look at Part 1 to get the research justification for the outline below. In an effort to make research more accessible and visible in the implementation of new ideas, here is a practical, “how-to” explanation of ways to get students to ask better questions. While all of this can be done with paper... Read more 01 Aug 2014 - 3 minute read
I’ve been thinking over an idea since I saw this tweet from David Wees which linked a very well-written article defending the Common Core standards. I found myself a little jealous that a group of math teachers was using StackExchange as a forum for education discussion. If you’re not familiar with the platform, it is a question/answer forum th... Read more 30 Jul 2014 - 6 minute read
I read an article recently on the need for an “Instagram of Sound” – the idea being that I can record a short audio clip and then immediately share it to a network. After searching and searching, I couldn’t find the one I read, but there’s a good article on Motherboard which makes the case. In the absence of such an app, I decided to try it wit... Read more 15 Jul 2014 - 1 minute read
Update 8/20/2014 8:30 AM: I have deactivated the script for this Twitter bot. It was fun, and the process is below if you want to read more. But, the Twitter feed is now inactive. I’ve been fascinated by the proliferation of non-spammy Twitter bots in the last year. Chatbots have been around for a long time (remember SmarterChild on AIM? Anyo... Read more 10 Jul 2014 - 4 minute read
A dangerous trend in education is the advent of the Learning Management System (LMS). Jim Groom writes about the danger of siloing our data across the web rather than sharing it freely. In other words, if you work in Edmodo, it’s difficult to share that content outside of Edmodo. It’s stuck and you’re robbed of the ability to share your work wit... Read more 28 Jun 2014 - 1 minute read
My previous three posts looked at ideas from John Spencer’s book Sages and Lunatics. I could go deeper because it is full of great discussion points, but I’d rather you just read the book. This is the final post. It is incredibly difficult to spot the difference between a sage and a lunatic because at first glance, they look the same. The diffe... Read more 06 Jun 2014 - 2 minute read
This is the third post in a series reflecting on John Spencer’s Sages and Lunatics. Most of the books are practical manuals on how to run a classroom. They offer quick, handy, time-saving ideas. The time of the textbook has come and gone. Schools aren’t renewing subscriptions, moving instead to things like 1:1 programs or supplem... Read more 28 May 2014 - 2 minute read


Lily Allen shows off ring on wedding finger after walk with David Harbour
Lily and Stranger Things star David Harbour were first spotted together in August when he accompanied her to the Piccadilly Theatre in London's West End
by Karen RockettSmile Singer Lily Allen gives her actor boyfriend a big smile as she wraps up in a big coat and scarf for a walk in New York.
The 34-year-old mum-of-two seemed to be showing her new beau, Stranger Things star David Harbour, her hand.
Pictured later on her own in London, she appeared to be sporting a rather large ring on her third finger leaving her fans wondering just how serious her new relationship is...
The two lovebirds have been spotted kissing passionately in public in recent weeks.
They were first been spotted together in August when the 44-year-old American actor accompanied Lily, who is mum to Ethel, seven and Marnie, six,from her marriage to Sam Cooper, to the Piccadilly Theatre in London’s West End to watch The Lehman Trilogy.
Lily also recently made headlines after filming herself on TikTok bursting into tears over the Labour Party manifesto.
She said: "Guys I've watched the Labour manifesto and I think it's the besty... manifesto I've ever seen."
She later shared a picture of her polling card on social media with the caption "Tories OUT".