SEAT stands for Student Elective Allocation Tool.
Starting from the 2015 batch, the curriculum for B.Tech. and Dual Degree students has been revised to include many more electives . There is a significant increase from the number of electives that were allowed in the old curriculum. Students have flexibility in choosing electives from other departments starting as early as in their third semester. To enable students to have choice in electives that they wish to pursue, all departments are requested to allow (a fixed number of) students from other departments in all their courses, including core courses. In this context, an offline process may not be a viable solution given that many students will credit electives across departments. SEAT is a tool envisioned to enable students to express preferences over courses, instructors to provide criteria for selection and ranking of students, and finally produce a fair allocation of elective courses to students.Lorem ipsum dolor sit amet, consectetur adipisicing elit. Aut optio velit inventore, expedita quo laboriosam possimus ea consequatur vitae, doloribus consequuntur ex. Nemo assumenda laborum vel, labore ut velit dignissimos.
How are course details made available to SEAT?
What are inputs to SEAT?
SEAT uses workflow to get its input from students. Every student who wishes to credit electives in a particular semester, should submit the following:How do I know what courses I am eligible to take?
Workflow shows you all the courses that are being offered across different departments that are available as electives. It is highly recommended that you ensure that you have the background knowledge (prerequisites) to credit the course. You can do this by checking the course details on the academic website, visiting the course home page and/or talking to the faculty offering the course.How do I form my preference list when I have several types of electives to credits like Humanities, Mathematics and others?
Once you have ensured that you meet the prerequisites for a set of courses, create a single list containing all the courses that you wish to give a preference for. Your preference list can contain multiple courses in the same slot. The SEAT software will ensure that you do not have any slot conflicts. Next, you have to colour code the courses in your preference list.| Date | Activity |
|---|---|
| June 12 | First round of elective allocation done through SEAT is given to Workflow |
| June 19 | Elective allocation will be visible to faculty advisers for approval |
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Vero odio fugiat voluptatem dolor, provident officiis, id iusto! Obcaecati incidunt, qui nihil beatae magnam et repudiandae ipsa exercitationem, in, quo totam.


Press ctrl-space to activate autocompletion. See the code (here and here) to figure out how it works.


Phill Mitchell-Matsuyama
About
Portfolio
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Portfolio
Hangman
RPG Game
Trivia Game
Rutgers Info Widget
Rock Paper Sissors


pyvaru¶
Functions
abstractmethod (funcobj) |
A decorator indicating abstract methods. |
Classes
ABC |
Helper class that provides a standard way to create an ABC using inheritance. |
ValidationResult (errors: dict = None) |
Represents a report of Validator’s validate() call. |
ValidationRule (apply_to: object, label: str, ...) |
Base abstract rule class from which concrete ones must inherit from. |
Validator (data: object) |
Validate a data model against a list of ValidationRule(s). |
Exceptions
ValidationException (...) |
Internal exception used by the library to represent a validation failure when using a Validator as a context processor. |


Mangalyaan was a success for ISRO. Especially the budget management part.
Cheaper than a cab ride!
On September 2014, Indian Space Research Organisation (ISRO) achieved what no other space agency has achieved - launching a space probe to Mars and being successful in the first attempt. Mangalyaan was a mission accomplished on a budget of under $74 million, cheaper than the total production cost of the movie Martian.
{00:20} Yes, you heard it right! It cost less than a movie about Mars. How did India achieve this feat?
{01:00} 2014 was a great year for ISRO. On September 24th the Prime Minister announced the successful Martian orbital insertion of Mangalyaan. India was the first country to send a space probe to Mars at a low budget as $74 million, less than what it would cost in an auto rickshaw.
{02:55} The inception of the project happened back in 2008. It took around six years to complete. After the success of the Chandrayaan mission to the Moon, next step was a successful interplanetary probe. It was announced by G Madhavan Nair who was the chairman of ISRO. Indian space agency started in 1969. India launched Aryabhatta, the first satellite in 1975. Ove the years, India developed launch vehicles like PSLV - Polar Satellite Launch Vehicle and GSLV - Geo-Synchronous Satellite Launch Vehicle.
Objectives
{04:13} Primary objective of Mangalyaan was to successfully insert the space probe into an orbit around Mars. Mars travel is much more complicated than a moon mission because of the distance. The communication takes time while on a Mars mission. Based on the orientation of the antenna, it could take anywhere between 8 - 45 minutes. The journey took 11 months.
{06:57} The secondary objective was to explore Mars using remote sensing technology and to study the moon Phobos of Mars. The Mars orbiter was around the size of an auto rickshaw and weighed around 1337kg. 856kg was propellant. The space agency had to miniaturise the spacecraft to reduce the cost. Powered by three solar panels and a lithium ion battery for backup. The spacecraft was developed in Bangalore.
Launch vehicles
{09:30} Initially GSLV was planned as a launch vehicle, but due to setbacks in testing, GSLV could not be used due to time constraints. So ISRO had to go back to PSLV, which was used in the launch of Chandrayaan. There is a very narrow launch window to Mars. If the chance is missed, it would be 24 months before another window opens up.
{10:56} PSLV satellite is used to launch a smaller payload into a low earth polar orbit. Normally used for weather satellites to enable them to be able to scan the earth during a 24 hour period. GSLV is used for heavier payload missions with the capability to put a satellite in geosynchronous orbit, that is, an orbit in which the satellite appears to maintain a relatively fixed position over a point on the surface of the earth. Used for communication satellites. PSLV was less powerful compared to GSLV. ISRO used Hohmann’s transfer methodology to send the spacecraft to Mars.
Hohmann’s transfer
{13:45} The low earth orbit of the spacecraft is modified into highly elliptical orbit by providing thrust at the perigee point. Multiple such boosts were planned and eventually, the orbit becomes so much elongated that it leaves earth’s sphere of influence and moves into a heliocentric orbit. In the case of Mangalyaan, the path of the spacecraft was calculated in such a way that when it intersects Mars’ orbit, they would meet at the point.
Communication and other challenges
{16:31} To ensure continuous communication and data transfer from the spacecraft, 32 ground centres were setup around the world. Sriharikota, Port Blair, Indonesia, Brunei and Canberra were few of the locations. Post the launch, communications control moves from Shriharikota to Port Blair, then to Brunei and to Indonesia. After Indonesia till Canberra, there are no land masses to setup a tracking station. So ISRO decided to use two navy vessels to act as ground stations to track the spacecraft.
{19:00} To contain the mission well within the budget of $74 million, so they used gravity assisted flight to get to Mars using the Hohmann’s transfer method. After the launch, the craft spent around 25 days in earth’s orbit undergoing Hohmann’s transfer. There were some challenges during the 4th earth bound manoeuvre, so ISRO had to burn extra fuel during the remaining orbits. Apart from this, due to the high noise ratio of signals back from Mangalyaan, ISRO developed indigenous deep space network antenna.
{22:41} The engine was not used for around 298 days in the harshness of the space. There was a concern about the engine not starting as the spacecraft neared Mars. Test firing of the engine was done for 3.968 seconds less than two days before entry into Mars orbit.
{24:37} Since the probe moves to the dark side of Mars, solar panels could not provide any power. The lithium ion batteries provided backup power. Also, all the communications are cut off when the craft moves to the far side of Mars. So pre-instructed commands were given to the spacecraft a day in advance with the list of things to do while on the far side.
{26:04} India achieved the unique goal of successfully launching a spacecraft to Mars in the first attempt. India also became the fourth country to attempt a launch to Mars. it also became the first country to send a space probe to Mars from Asia and it was the cheapest mission ever to Mars. The lifetime of Mangalyaan was supposed to be six months, but it is still going strong after three years.
{27:05} The Mangalyaan team also won the 2015 Space Pioneer award in the category of Science and Engineering which awarded by US based National Space Society. Mangalyaan made India a forerunner in the race to Mars.
This is an autorickshaw!
Media
Music created using Sound Trap.
Image: Pixabay


Installation¶
- The main dependencies is Luna SDK library and an FaceEnginePythonBindings. If these dependencies is installed
add to PATH a path to FaceEngineSDK.dll or FaceEngineSDK.so.
You can install this package several path:
install from github: pip install git+https://github.com/matemax/lunasdk.git
you can load archive from github, unpack it and make a command: python setup.py install.
Setup¶
We get a path to folder with neural network models and path to a FaceEngine configuration file from environment variable FSDK_ROOT ({FSDK_ROOT}/data, {FSDK_ROOT}/data/faceengine.conf) by default. You can specify these path’s in initialization VLFaceEngine.


The Meditation Process.
How did the 'process over product' concept affect the way you tackled the site redesign and rebuild?
I guess the concept allowed me to approach the task with freedom, knowing that I didn't have to have a finished or perfect product by the end of the week. So there was no stress when things didn't quite work the way I wanted, I just carried on and focused more on learning new things.
What did you think about meditation before reading Chapter 2 of Search Inside Yourself?
I've never really done meditation before, but I have read a lot about its benefits and never thought it was a useless thing to do.
What new things have you learned about meditation?
I guess one of the things that I hadn't read so much about was the link between meditation and increased happiness. I think calmness is more the common expectation from meditation, but I hadn't linked that in with happiness as such.
Did any of the suggested meditation techniques stand out to you?
Not really any one in particular. Having not practiced meditation before, I'm open to trying all or any method.
Any other musings?
I really liked the analogy of practicing meditation being like a work out for your attention. The idea that when your attention wavers and you bring it back, that's the moment when it can increase in strength (or focus).


The algorithm works best for spines that are vertically aligned. Allow 2-3 minutes of processing depending on the size of your bookshelf.


Mourinho says Spurs' doors will always be open for 'incredible' Pochettino
New Tottenham Hotspur manager Jose Mourinho has paid tribute to his predecessor Mauricio Pochettino and backed the Argentine to find happiness again at a different club.
LONDON: New Tottenham Hotspur manager Jose Mourinho has paid tribute to his predecessor Mauricio Pochettino and backed the Argentine to find happiness again at a different club.
Speaking in his first news conference ahead of Saturday's Premier League clash against West Ham United, Mourinho said the club's door will always be open for Pochettino, who guided Spurs to the Champions League final last season.
"I have to congratulate him on the incredible job he did," Mourinho said on Thursday.
"This club will always be his home, this training ground his training ground. He is always welcome here.
"Tomorrow is another day. He will find happiness soon. He will give everything like he did at this club. He will leave with sadness with the feeling that he did great work. It is what everyone at the club felt."
Mourinho, who took charge of the north London club on Wednesday, has inherited a squad that finished in the Premier League's top four in four consecutive seasons, but are currently 14th after a poor start to the campaign.
The Portuguese returns to club management 11 months after being sacked by Manchester United, where he made a poor start to last season and was criticised by fans and pundits for playing dull, defence-minded football.
"I'm not going to make the same mistakes. I'm going to make new mistakes. I'm going to be stronger," Mourinho said.
"From an emotional point of view I'm relaxed, motivated and ready and I think the players felt that these two days. I'm ready and I'm here to support them.
"In life you go through periods like this, where it's not about myself, it's about my players and my club."
Mourinho will be looking to end Tottenham's run of 12 league away matches without victory when they visit the London Stadium in his first match.
Tanguy Ndombele and Jan Vertonghen have recovered from injury and will be assessed ahead of the weekend's match against 16th-placed West Ham, who are looking for their first win in seven league matches.
(Reporting by Hardik Vyas in Bengaluru; Editing by Toby Davis)


Clones an existing repository, creating a local copy of it.
git clone <url>
to clone an existing repository from <url>
to a local directory. The directory’s name will be based on the name of the cloned repository.git clone <url> [<directory>]
to clone the repository into the specified local <directory>
.git clone <url> [<directory>]
git clone https://github.com/30-seconds/30-seconds-of-code.git
# Clones the repository in a new directory named '30-seconds-of-code'
cd 30-seconds-of-code
git clone https://github.com/30-seconds/30-seconds-of-code.git my-project
# Clones the repository in a new directory named 'my-project'
cd my-project


label: Yahoo!

label: production company

text: Ribonucleic acid (RNA) is a ubiquitous family of large biological molecules that perform multiple vital roles in the coding, decoding, regulation, and expression of genes.

obj: something

pred: something


Rock Paper Scissors
First to 5 wins
Rules
Rock > Scissors & Rock < Paper
Paper > Rock & Paper < Scissors
Scissors > Paper & Scissors < Rock
Let's Play
Play Again


tfjs-vis kitchen sink
tfjs-vis is a small set of visualization utilities to make it easier to understand what is going on with your tfjs models. It is designed in a way to work along side regular web apps. This page is a testbed for the api.
Visor
Render Functions
render.table(data, container, options)
render.barchart(data, container, options)
render.barchart with custom color
Individual bars can also be given custom colos
Re-rendering
Re-rendering
You can update a bar chart by calling
render.barchart
again with the same
container
.
This is also true for any render.* function, to re-render or update just call the function with new data and the same container.
render.histogram(data, container, opts)
render.histogram custom color
re-render histogram
render.linechart(data, container, opts)
render.linechart supports custom colors for lines
Zoom to fit linechart
Truncated linechart: Custom y axis domain
render.scatterplot(data, container, opts)
render.scatterplot supports custom colors for marks
Zoom to fit scatter plot
Custom domain scatter plot
render.confusionMatrix
The diagonal can also be excluded from shading.
Perfect classification.
In a perfect classification scenario where shadeDiagonal is false the chart will override that option as all values lie on the diagonal.
render.heatmap(data, container, opts)
We can also pass in custom labels
Alternate color maps are also supported.
Heatmap displays labels in order provided
Tensor2D's are also supported
Repeated labels are supported


We continuously refine our scholarship application and selection process to adapt to economic and social changes. By submitting just one application, a student can be considered for awards from Scholarships along with several other Partner Scholarships. Our small staff allows contributed dollars to go directly to students, not to high overhead costs. One hundred percent of our annual contributions are awarded. The first-ever cohort of NEW Scholars was introduced on August 30, 2020 focusing on awarding scholarships to students whose parents have lost their jobs and means of income due to the COVID-19 pandemic
Every student has access to the tools necessary to pursue high school education.
To Encourage and invest in area students to succeed in high school education .
*Equity
*Academic Freedom
*Accountability
*Excellence
*Self-determination
*Self-discipline
Full Academic Scholarship
Partial Academic Scholarship
Short Term Scholarships
The following are Imarisha Team Members
Scrum Master
Web Master
Web Master
Web Master


SoundRecorder class
Sound Recorder Plugin
Constructors
- SoundRecorder(String path, {AudioFormat audioFormat, int sampleRate = 16000})
Properties
- hashCode → int
-
The hash code for this object. [...]
read-only, inherited
- initialized → Future
-
read-only
- recording → Recording
-
read-only
- runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited
Methods
-
current(
{int channel = 0}) → Future< Recording> - Ask for current status of recording Returns the result of current recording status Metering level, Duration, Status...
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed. [...]
inherited
-
pause(
) → Future - Request currently Recording recording to be RecordingStatus.Paused Note: Use current to get latest state of recording after pause
-
resume(
) → Future - Request currently RecordingStatus.Paused recording to continue
-
start(
) → Future - Request an initialized recording instance to be RecordingStatus.Recording Once executed, audio recording will start working and a file will be generated in user's file system
-
stop(
) → Future< Recording> - Request the recording to stop Once its stopped, the recording file will be finalized and will not be start, resume, pause anymore.
-
toString(
) → String -
A string representation of this object. [...]
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator. [...]
inherited
Static Properties
- fs ↔ LocalFileSystem
-
read / write
-
hasPermissions
→ Future<
bool> -
Returns the result of record permission
if not determined(app first launch),
this will ask user to whether grant the permission
read-only
Constants
- DEFAULT_EXTENSION → const String
-
'.m4a'


I am a software engineer with a passion for travel and gaming with a background in Finance. I worked as a Staff Accountant and eventually moved into Accounts Receivable Analyst role. These roles ultimately aided me in honing my analytical and critical thinking abilities, but I realized that finance wasn't a career path that I would enjoy pursuing for the rest of my life. I had had thoughts of a career in software engineering since graduating from college, and I was lucky enough to explore it briefly in finance.
I attended a JavaScript workshop run by Launch Academy to see if coding was really for me. During the class we built out a front-end interactive Rock-Paper-Scissors web app and I was hooked. I knew then, that a career in software engineering was the direction that I needed to take. Ultimately I would love to be able to utilize my past analytical skills and current acquired skills as a software engineer to work in the gaming and entertainment industry
Full time 500+ hour, 12-week Web Development Immersive program.
 If it's nice out there is a high likelihood of finding me practicing free kicks at a soccer field or finding a place to play some pickup games.
When forced indoors, I enjoy spending my time gaming and reading manga. I currently do most of my gaming on the PS4 with FIFA 20 taking up the majority of the alloted time with some Destiny on the side. When reading manga I am always looking for a new series to discover and a favorite app of mine that I use for accomplishing this is called tachiyomi and can be found on Github.


--- layout: post title: Ajax on Rails from O'Reilly (and high five from Slashdot!) categories: - documentation author: admin published: true date: 2005-06-15 11:05:00.000000000 +01:00 ---
Curt Hibbs just have keeps delivering the good stuff and O’Reilly wisely keeps serving it up. The new article is called Ajax on Rails. It builds upon his two earlier articles about getting rolling and puts the focus on introducing the sugar-coated sweetness that is the Ajax support of Rails. There’s even a good rundown of what Ajax is and where it came from.
As has become the norm, Hibbs also secured Rails its fifth Slashdotting. Keep ‘em coming, Curt (and O’Reilly editors!).


Panzanella [alla Norma]
Yields: 4 portions
Preparation time: 15'
Waiting time: 4h
Tools
-
[OPTIONAL] BlenderSieve or colander
Ingredients
-
250g of slightly stale bread50ml water (depends on how watery your tomatoes are)1 table spoon of wine vinegar (not balsamic)0.5 red onion0.5 red bell pepper1 🐟anchovy🐟 (or a teaspoon of mushroom paste for the 🌿vegan🌿 variant)250g tomatoes (best if “Cuori di bue” variety)1 sprig of basil60ml extra-virgin olive oil[OPTIONAL] taggiasche olives[OPTIONAL] stir-fried eggplants
Directions
-
Put on a kettle with ~2l of waterFinely dice onionPut the diced onion in a sieve and pour the boiling water on top (this will take away part of the smell)Finely dice bell peppers (~3mm side)Coarsely dice tomatoes (~1cm side), keep the juice[OPTIONAL] Remove the crust from the bread and blend itCoarsely dice the rest of the breadMix the anchovy with some oil and break it down to a pasteBreak the basil with your hands in small stripes, try to squeeze it while doing soMix everything (except for the eggplants)Put in the fridge to rest (suggested 4h minimum)[OPTIONAL] When serving add the eggplants on top
Panzanella is a good way to put your stale bread to good use: nothing goes to waste!
The two optional ingredients are not from the original recipe, but they are a twist I added.
Keep in mind that ingredients and quantities are just a suggestion: feel free to customize this recipe as much as you like!
↓ Here are the recipes for some of the ingredients listed above ↓Mushroom Paste
Tools
-
Blender
Ingredients
-
any edible mushrooms, I use champignonenough seed oil to blend the mushrooms
Steps
-
Blend the mushrooms with the oilPut in a pan and cook on medium-low heatKeep cooking and stirring until most of the water is evaporated
This paste has a high content of umami, which can be used to enhance and prolong a taste.
It can be easily stored in the freezer in an ice-cube mold for later use.
Category: Starter
Origin: Toscana
-


Example 7
RSS example #2.
Return home
This version of the RSS feed example allows you to enter the URL of
an actual RSS feed. Otherwise it works the same as the other example.
This one uses an Action to retrieve the XML, therebye getting around
the cross-domain issues of the other example.


Example:
class Foo {
private int index;
public Foo(int idx) {
setIndex(idx);
}
public void setIndex(int idx) {
index = idx;
}
}
After the quick-fix is applied:
class Foo {
private int index;
public Foo(int idx) {
index = idx;
}
public void setIndex(int idx) {
index = idx;
}
}
Use the first option below to only report on setter calls on this
not on objects of the same type passed in as a parameter.
Use the second option below to only report when the setter is private
.


Welcome to the world of Possibilities
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{% extends "base_menu.html" %} {% block content %}
Are you sure you want to delete the post: {{ post }}?


About
I am a technophile (aka “ideapokeian”); an avid learner; and an aspiring Marketing Technologist, with a natural curiosity, high learning velocity and strong work ethic. As a natural problem solver who values teamwork, fun, and creativity, I love the start-up culture. I am an “all-in” kind of guy who loves to bounce around ideas and be involved in decision making in a creative and innovative atmosphere. I love to solve problems and am currently enrolled in LaunchCode's Summer of Code program.
Resume
Core Compententcies
- Sales Strategy
- Team Support
- Annual Targets and Forecasting
- Data and Trends Analysis
- Business Operations
- Cross-Functional Collaboration`
- Performance Metrics
- Project Management
- Revenue Growth
- Benchmarking
- Opportunity Identification
- Sales Meeting Development
- Client Relations
- Customer Service
Experiences and Achievements
Town Residential, New York, NY 2011 to 2015
Sales and Leasing Coordinator
Cultivated high performance sales culture focused on revenue growth, ethics, and metrics achievement for 80-person sales office operating seven days a week. Identified strategies for marketing properties and coordinated offers with brokers. Managed audit processes and ensured compliance with regulations, such as REBNY guidelines and licensure standards. Designed marketing collateral, including building signage and email campaigns. Maintained financial records, such as credit reports and wire transfers. Developed and managed intranet content, ensuring accuracy.
- Increased YOY revenue by more than 15% in less than one year
- Authored Business and Marketing Plan template for use by Sales Representatives throughout the company, resulting in enhanced performance and greater revenue attainment.
- Partnered with Leasing Manager, Managing Director, and representatives to manage landlord relationships.
- Served as accountability partner to more than 50 Sales Representatives and three Managing Directors.
Freeman Group Service Solutions, Dallas, TX 2009 to 2010
Director of Administration
Oversaw daily administrative, HR, and IT functions for small business of 20 staff members. Supported sales team in preparing proposals and contracts. Reconciled payments for mystery shoppers. Maintained employee records and ensured compliance with confidentiality standards.
- Facilitated training for customer service team and clients in proprietary software applications.
- Streamlined operations and ensured smooth workflow through collaboration with cross-functional teams.
- Cultivated vendor relationships, ensuring effective cost controls through negotiations.
The Corcoran Group, New York, NY 1997 to 2008
Director of Listings/Administrative Manager
Directed team of six, ensuring effective cross-training of staff and prioritization of data input in listings database. Developed a variety of special events to promote morale and teamwork within sales force. Administered event and operational budgets of up to $700K. Promoted individual and group recognition programs for staff of 1100 personnel in various functions.
- Increased productivity by more than 15% through cross-training programs.
- Streamlined reporting efforts by automating and combining three reports into one portal, centralizing information for executive team and more than 20 Branch Managers.
Education and Credentials
Summer of Code Program (Python | Web Development | Front-End Web), Launch Code, St. Louis, MO, In Progress
Digital Marketing Certificate, University of Illinois, Online, In Progress
Master of Business Administration, Marketing, Florida Institute of Technology, Melbourne, FL
Graduate Certificate, Applied Project Management, Villanova University, Villanova, PA
Connect
618.314.8010


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Police take DNA from 900 men in bid to catch man who raped and murdered school girl
Claudia Ruf, from Grevenbroich west Germany was kidnapped, raped and then choked to death in 1996
by Brendan McFaddenPolice have requested DNA samples from 900 men to help them crack a horrific rape and murder case from 25 years ago.
Claudia Ruf, from Grevenbroich west Germany, was kidnapped in 1996 and her charred body was found in Euskirchen, 43 miles south of her home city two days later, with DNA traces of her killer on it.
Her murder has baffled police, and now as part of a new probe they are asking the men, who would have been aged between 14 and 70 at the time of the youngster's killing, to have a saliva swab test.
Investigators said all 900 men are not suspects and have invited them to come to testing at a local elementary school this and next weekend, Mail Online reported.
The Rheinische Post reported the first of the men were already lining up outside the school at 10am Saturday.
In 2010 police tested 350 men's DNA in the area, but got no matches, but they have now found evidence to suggest checking another 900 men could help them find Claudia's killer.
Police have not confirmed if the 350 men are to be included in the new round of DNA tests.
Claudia was kidnapped in May 1996 when she went for a walk with her neighbor's dog and her remains were found on a path in the fields near Euskirchen after it has been doused with petrol and burned.
There have been several appeals to find her including one on German TV this year.
Claudia's father Friedhelm Ruf asked people for help solving the death of his daughter in a widely shared video this month.
He said: "After more than 23 years, there's a big possibility to solve the sad fate of my daughter.
"The perpetrator has been able for too long to hide behind all of us."


by Nick
Posted on 12 October, 2015
FiveThirtyEight’s new CARMELO prediction alorithm, that projects the future careers of every NBA player, has similarity with prediction methods in other fields.
I read up this morning on CARMELO, the latest stats-backed tool to come out of Nate Silver’s shop at FiveThirtyEight. They clearly have down the formla for putting together real quantitative predictions with a glossy front end delivery. It looks slick! As they point out, CARMELO is based on PECOTA, a similar system for predicting baseball player careers, which was Nate’s first big modeling breakthrough back in the early-mid 2000s.
What struck me reading through this today was how similar it is to what is known as “the method of analogues” in at least the meterological and infectious disease forecasting communities. The shared idea in these prediction methods is that you find “similar” observations to the one that you are trying to predict in your existing dataset. Then, look at those similar observations, see what they did in the future and use them to come up with some intelligent guess about what your observation of interest will do. (Hint: it tends to be something like a weighted mean of the observed trajectories of the similar datapoints.)
Evan Ray and Krzysztof Sakrejda, post-docs in the Reich Lab, put together a new formulation of the method of analogues for a submission to the White House Dengue Prediction Challenge this past summer, for predicting outbreaks of dengue fever in Puerto Rico and Peru. Their submission method wasn’t in the top three performers, but it wasn’t too shabby either, and there were a few small tweaks and fixes that they are working on to see if that might improve performance. (The complete story will be the topic of a future blog post.) Their method (still a work in progress) including code, as well as brief and detailed write-ups can be found on GitHub.
I find it interesting to see the similarities of some of these methods from disparate fields. Please comment if you know or recognize these prediction methods from yet other contexts.
I’ll be curious to see (and hope the folks at FiveThirtyEight put together, in 8 months) some honest evaluations of these early drafts of CARMELO. At the end of this season, for example, what will the actual CARMELO prediction interval coverages be? How much more/less accurate will the point predictions for a player’s WAR be comparing CARMELO to a simple model? (Possible simple model: a player’s WAR from last year or the average WAR of players with a given number of years’ experience.) These questions get at a common theme of a lot of our research lately: how can you tell that a prediction is adding value? Turns out, this is a tougher question to answer than it appears.


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Welcome to this humble TV shows hunter, where you can find and save your favorite shows or just look for somthing to binge-watch next!
Also you can check the rating and the official website of some of the shows.
Enjoy!


For the meatballs:
- 300g good quality pork sausage (about 4 large or 8 chipolatas)
- 500g lean beef mince
- 1 small onion, coarsely grated
- 1 carrot, finely grated
- 1 tbsp dried oregano
- 50g parmesan, finely grated, plus extra to serve
- 1 medium egg
- 1 tbsp olive oil
- 1 tbsp olive oil
- 1 courgette, coarsely grated
- 3 garlic cloves, finely grated
- 1 tbsp tomato purée
- pinch caster sugar
- splash red wine vinegar
- 2x 400g tins chopped tomato
Children:
- Squeeze all the sausage meat out of the sausage skins into a large bowl and add the mince. Tip all the rest of the meatball ingredients, except the olive oil, into the bowl and season with black pepper then squish everything together through your hands until completely mixed. Keep an eye on younger children to make sure they don’t taste any of the raw mix.
- Roll the meatball mix into walnut-sized balls and place them on a plate – this is a job children as young as 2 can help with and a great job to help teach older children basic division.
- While the children are rolling the meatballs make the sauce. Heat the oil in a large saucepan. Add the courgette and garlic and cook for 5 mins until soft and mushy. Stir in the tomato puree, sugar and vinegar leave for 1 min then tip in the tomatoes and simmer for 5 mins. If your children like courgettes then you can leave the sauce chunky. But if, like mine, they hate courgettes then blitz the sauce with a hand blender – either way continue to simmer sauce gently while you cook the meatballs. If your child is confident with heat, from 7+ they can cook the sauce with supervision.
- Heat the oil in a large frying pan and, working in batches, brown the meatballs on all sides then pop them into the sauce – continue to simmer the sauce for 15 mins, stirring very gently until the meatballs are cooked through.


Useful Freeware
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Test
Sikuli- Automation test tool Sikuli automates anything you see on the screen. It uses image recognition to identify and control GUI components.


"""
speechemotionrecognition module.
Provides a library to perform speech emotion recognition on `emodb` data set
"""
import sys
from typing import Tuple
import numpy
from sklearn.metrics import accuracy_score, confusion_matrix
__author__ = 'harry-7'
__version__ = '1.1'
[docs]class Model(object):
"""
Model is the abstract class which determines how a model should be.
Any model inheriting this class should do the following.
1. Set the model instance variable to the corresponding model class which
which will provide methods `fit` and `predict`.
2. Should implement the following abstract methods `load_model`,
`save_model` `train` and `evaluate`. These methods provide the
functionality to save the model to the disk, load the model from the
disk and train the model and evaluate the model to return appropriate
measure like accuracy, f1 score, etc.
Attributes:
model (Any): instance variable that holds the model.
save_path (str): path to save the model.
name (str): name of the model.
trained (bool): True if model has been trained, false otherwise.
"""
[docs] def __init__(self, save_path: str = '', name: str = 'Not Specified'):
"""
Default constructor for abstract class Model.
Args:
save_path(str): path to save the model to.
name(str): name of the model given as string.
"""
# Place holder for model
self.model = None
# Place holder on where to save the model
self.save_path = save_path
# Place holder for name of the model
self.name = name
# Model has been trained or not
self.trained = False
[docs] def train(self, x_train: numpy.ndarray, y_train: numpy.ndarray,
x_val: numpy.ndarray = None,
y_val: numpy.ndarray = None) -> None:
"""
Trains the model with the given training data.
Args:
x_train (numpy.ndarray): samples of training data.
y_train (numpy.ndarray): labels for training data.
x_val (numpy.ndarray): Optional, samples in the validation data.
y_val (numpy.ndarray): Optional, labels of the validation data.
"""
# This will be specific to model so should be implemented by
# child classes
raise NotImplementedError()
[docs] def predict(self, samples: numpy.ndarray) -> Tuple:
"""
Predict labels for given data.
Args:
samples (numpy.ndarray): data for which labels need to be predicted
Returns:
list: list of labels predicted for the data.
"""
results = []
for _, sample in enumerate(samples):
results.append(self.predict_one(sample))
return tuple(results)
[docs] def predict_one(self, sample: numpy.ndarray) -> int:
"""
Predict label of a single sample. The reason this method exists is
because often we might want to predict label for a single sample.
Args:
sample (numpy.ndarray): Feature vector of the sample that we want to
predict the label for.
Returns:
int: returns the label for the sample.
"""
# This need to be implemented for the child models. The reason is that
# ML models and DL models predict the labels differently.
raise NotImplementedError()
[docs] def restore_model(self, load_path: str = None) -> None:
"""
Restore the weights from a saved model and load them to the model.
Args:
load_path (str): Optional, path to load the weights from a given path.
"""
to_load = load_path or self.save_path
if to_load is None:
sys.stderr.write(
"Provide a path to load from or save_path of the model\n")
sys.exit(-1)
self.load_model(to_load)
self.trained = True
[docs] def load_model(self, to_load: str) -> None:
"""
Load the weights from the given saved model.
Args:
to_load: path containing the saved model.
"""
# This will be specific to model so should be implemented by
# child classes
raise NotImplementedError()
[docs] def save_model(self) -> None:
"""
Save the model to path denoted by `save_path` instance variable.
"""
# This will be specific to model so should be implemented by
# child classes
raise NotImplementedError()
[docs] def evaluate(self, x_test: numpy.ndarray, y_test: numpy.ndarray) -> None:
"""
Evaluate the current model on the given test data.
Predict the labels for test data using the model and print the relevant
metrics like accuracy and the confusion matrix.
Args:
x_test (numpy.ndarray): Numpy nD array or a list like object
containing the samples.
y_test (numpy.ndarray): Numpy 1D array or list like object
containing the labels for test samples.
"""
predictions = self.predict(x_test)
print('Accuracy:%.3f\n' % accuracy_score(y_pred=predictions,
y_true=y_test))
print('Confusion matrix:', confusion_matrix(y_pred=predictions,
y_true=y_test))


--- layout: post title: Optimizing Steering Car Paths with PyTorch categories: - Programming tags: [] comments: [] ---
Want to see another bizarre way to use PyTorch? If you've read some of my recent posts, you've seen the basic idea before. I'm using automatic differentiation and gradient descent, this time to optimize the path of a car. The model is similar to a Reeds-Shepp car, a simple steering car model. The state at time step \(i\) is defined by a 2D position and an angle, \((x_i, y_i, \theta_i)\). In each step of the simulation, the car's state is updated based on an input consisting of speed and steering angle \((v_i, \phi_i)\).
I simulated the car for \(n_\text{steps}\) steps, with a target position and angle, \((x_t, y_t, \theta_t)\) and a cost function, \(c\), which depended on the distance from the target position and the distance from the target angle in the final step.
I used automatic differentiation to find the derivates \(\frac{dc}{dv_i}\) and \(\frac{dc}{d\phi_i}\), which I used to update the inputs.
Check out some results. The animated plot below shows an example optimization, with the working solution evolving over time. The car starts at \((0,0)\), facing right and its target is \((3,3)\), facing down. The starting position and direction are represented by the red arrow and the target position and direction are represented by the green arrow.
In the first frame of the animation, the inputs are initialized to zero and the car does not move. In the ultimate solution, the car performs a wide left turn into its final position. The plots below shows the input that produced that trajectory and the evolution of the cost function.
Code below.
{% highlight Python %} import torch import numpy as np import matplotlib.pyplot as plt from scipy import optimize n_steps = 200 # number of steps to test the car performance speeds = torch.zeros(n_steps-1, requires_grad=True) # init speed control tensor steers = torch.zeros(n_steps-1, requires_grad=True) # init steering control tensir dt = .1 # time step for dynamics target_pos = torch.tensor([3.,3.]) # target position for the car target_angle = torch.tensor(3*np.pi/2.) # target angle for the car # finds the trajectory from the speed and steering commands def test_car(speeds, steers): angles =[torch.tensor(0.)] xs = [torch.tensor(0.)] ys = [torch.tensor(0.)] # simulate the car performance for i in range(1,n_steps): speed = torch.clamp(speeds[i-1], -1., 1.) # limit the speed steer = torch.clamp(steers[i-1], -10., 10.) # limit the steering angle xs.append(xs[-1]+ dt * speed * torch.cos(angles[-1])) ys.append(ys[-1]+ dt * speed * torch.sin(angles[-1])) angles.append((angles[i-1] + dt * speed * steer)%(2*np.pi)) return xs, ys, angles # list to keep track of objective progress costs = [] angle_costs = [] dist_costs = [] # cost plot fig_cost = plt.figure() ax_cost = fig_cost.add_subplot(111) ax_cost.autoscale(enable=True, axis="y", tight=False) ax_cost.set_xlabel("iteration") ax_cost.set_ylabel("cost") li_cost, = ax_cost.plot([],[]) li_cost_ang, = ax_cost.plot([],[]) li_cost_dist, = ax_cost.plot([],[]) # input plot fig_in = plt.figure() ax_in = fig_in.add_subplot(111) ax_in.autoscale(enable=True, axis="y", tight=False) li_speed, = ax_in.plot(speeds.detach().numpy()) li_steer, = ax_in.plot(steers.detach().numpy()) # trajectory plot fig_traj = plt.figure() ax_traj = fig_traj.add_subplot(111) li_traj, = ax_traj.plot([]) l = 0.25 ax_traj.arrow(0,0,0,l, width=0.05, color="red") ax_traj.arrow(*target_pos, l* torch.cos(target_angle), l*torch.sin(target_angle), width=0.05, color="green") ax_traj.set_xlim(-1.,4.) ax_traj.set_ylim(-1.,4.) fig_cost.canvas.draw() fig_traj.canvas.draw() fig_in.canvas.draw() plt.show(block=False) optimizer = torch.optim.SGD([speeds, steers], lr=0.1) #optimizer = torch.optim.Adam([speeds, steers]) for i in range(170): # run simulation xs, ys, angles = test_car(speeds, steers) # calculate costs angle_error = target_angle - angles[-1] angle_cost = torch.min(torch.min((angle_error+2*np.pi)**2, (angle_error-2*np.pi)**2), angle_error**2) dist_cost = (target_pos[0] - xs[-1])**2 + (target_pos[1] - ys[-1])**2 cost = dist_cost + angle_cost # save costs costs.append(cost) angle_costs.append(angle_cost) dist_costs.append(dist_cost) #calculate gradients optimizer.zero_grad() cost.backward() # update inputs optimizer.step() # update plots li_cost.set_data(range(len(costs)),costs) li_cost_ang.set_data(range(len(angle_costs)),angle_costs) li_cost_dist.set_data(range(len(dist_costs)),dist_costs) li_speed.set_ydata(speeds.detach().numpy()) li_steer.set_ydata(steers.detach().numpy()) li_traj.set_data(xs, ys) ax_cost.relim() ax_cost.autoscale_view() ax_cost.legend(["total", "angle", "dist"]) ax_in.relim() ax_in.autoscale_view() ax_in.legend(["speed", "steer"]) fig_traj.canvas.draw() fig_cost.canvas.draw() fig_in.canvas.draw() {% endhighlight %}


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We offer full-time and part-time, age-appropriate preschool classes for children aged two and a half years to five years old. All preschool programs have a set curriculum that incorporates phonics-based reading, math concepts, science, music, movement, social studies, arts and crafts, public speaking, and Montessori time.
Here is an overview of our daily schedule (this schedule is subject to change based on holiday celebrations and other special events):
“Never help a child with a task at which he feels he can succeed.” – Maria Montessori. Your child will begin their day with hands-on material of their choice which gives them the opportunity to make a decision and build independence.
In our daily Circle Time, we review the week calendar, daily weather report, theme-based songs, and verbal learning based on the monthly curriculum. This is followed by stretching exercises and movement with music.
Our study time focuses strongly on academics and building positive classroom skills. We emphasize on verbal learning through various hands-on activities, followed by our daily written practice packets. After academics, we switch to our creative mindset to do cutting, pasting, painting, and coloring based on our weekly themes.
The purpose of reading time to open a new world to our Little Scholars through the power of children's stories and books. We focus heavily on Emergent Reading Skills, as we introduce your child to basic phonics as early as age three. We have a highly successful reading program with all our pre-kindergarten students being fluent readers by the time of graduation.
We understand healthy eating habits are crucial to your child's overall development.
Here at Little Scholar’s Nest, we believe that physical development is equally as important as academics and personality development. We have a large outdoor facility surrounded by beautiful nature for children to develop their gross motor skills and socialize on the playground.
After a long day of learning and exercising, our Little Scholars need some rest! Every child brings their favorite blanky and pillow from home as we fall asleep to a peaceful, loving lullaby.
We reinforce healthy eating habits with afternoon milk and a nutritious snack brought from home.
Extended care activities vary each day. Activities include drawing, coloring, pretend play, constructive play with Legos, magnet tiles, tangrams, lacing, beading, and socializing time for our Little Scholars.
See you tomorrow!


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Originally published at {{ post.publish-site }}
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[viewBag] title = "Admission for foreigners" ==
E-mail<EMAIL_ADDRESS>Overview
Academic year in CSPI continues from September till June (01.09-30.06). Study duration is different and depends on seeking academic level and type of study. Period of study for Bachelor’s Degree - 4 academic years; for Master's Degree - 2 academic years; Doctoral Degree (PhD or DSc) - 3 (4) academic years, depending on the major (field of study).
We provide full time or part-time academic programs in all fields. International applicants are selected based on face-to-face interview and Admission Committee’s decision.
As a rule, study at CSPI is conducted in Uzbek or Russian, so good preliminary language training is required.
Chirchik State Pedagogical Institute accepts foreign citizens in accordance with the Resolution of the Cabinet of Ministers of Republic of Uzbekistan №.169 dated on August 4, 2008 and Regulations approved by this Resolution.
Candidates should send and submit the following documents to International Cooperation Department of the Institute:
• Application form for studying at the CSPI;
• The Questionnaire (established sample) for foreign citizen;
• Transcripts from previously completed or in-progress degrees. Please include transcripts/mark sheets and certificates of completion/diplomas of any degrees obtained within and outside the Republic of Uzbekistan:
• All degrees (certificates of completion/diplomas with transcripts/mark sheets) obtained outside the Republic of Uzbekistan have to be translated and notarized into Uzbek or Russian*;
• An established type of medical certificate, indicating the absence of medical contraindications for study in the Republic of Uzbekistan;
• Certificate, indicating the absence of HIV infection, valid on the territory of the Republic of Uzbekistan;
• A current passport or a passport with a residence permit in the Republic of Uzbekistan;
• Six photos measuring 3.5x4.5 cm.
• Abstract and officially certified list of publications (for applicants who want to enroll to the Doctoral programs, internships);
*Note: The translation of transcripts into Russian must be certified by a notarial office in the Republic of Uzbekistan, or by the Embassy or Consulate of the Republic of Uzbekistan in the applicants’ home country.
Higher education in Uzbekistan is not free for students who are coming from abroad. International students are required to pay tuition fees for their studies at CSPI. With the exception of cases stipulated by international, intergovernmental and interdepartmental agreements of the Republic of Uzbekistan, as well as agreements reached by the university with other higher educational institutions of foreign countries.
Based on the interview, we accept:
Contract conclusion for study
The contract for study in CSPI is formalized after successful passing of the interview.
Getting visa process and registration for housing opportunities
The Ministry of Internal Affairs of the Republic of Uzbekistan, upon request of Higher Education Institutions, in agreement with the Ministry of Higher Education of the Republic of Uzbekistan, in accordance with the established procedure, ensures the issuance and extension of visas, as well as temporary registration and extension of the temporary residence permit at the place of temporary residence of foreign citizens (according to the available regulations).


Each local authority (LA) runs the coordinated admissions process for all state-funded schools in its area.
It receives applications for all children resident in its area, including for those who wish to apply to schools in another local authority.
The authorities liaise with each other to ensure that all applications for schools outside the home LA are received by, and included in, the coordination exercise of the LA in which the school is based.
However, the applications are in all cases reported within these tables under the LA to whom the application is made - that is, the one in which the child is resident.
Parents submit their application on a single form returned to their home authority, listing their preferred schools in order of preference.
LAs must allow parents to express at least three preferences at each level (primary and secondary).
In practice, different LAs allow parents to express between three and six preferences.
The number of preferences allowed by an authority can vary at primary and at secondary level.
Applications for each school are ranked against the school's published priority and oversubscription criteria.
Where a child could be offered a place at more than one of their preferred schools, they are offered the school listed as the highest preference.Authorities must publish information on the admissions criteria of all the schools in their area, including data on volume of applications for the available places in previous years - that is, whether they received more or fewer applications than they had places available in those years.
LAs send parents a single offer of a school place on national offer day, which is the 1 March (or next working day) for secondary offers and 16 April (or next working day) for primary offers.
Parents are entitled to appeal to the relevant admission authority against a refusal to offer a place. These appeals are not reported in this publication.
Figures for appeals lodged, heard and the appeal result relating to entry into the start of the 2017/18 academic year will be published in August on DfE's website.


--- layout: default permalink: /sizing category: utilities category_page: Utilities title: Sizing description: "Easily add sizes to the elements, width or height in relation to the viewport or in relation to the father." ---
Take 100% of the viewport size (width and height)
Take 50% of the viewport size (width and height)
Take 33.33x% of the viewport size (width and height)
Take 100% of the size of the father (only the width)
These classes only add height sizes to the element.


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WITNESS LIST Appropriations Committee March 2, 1999-8:00A Budget On: Arens, James (Correctional Managed Care Committee) Bailey, Doyne (Texas Alcoholic Beverage Commission) Benestante, John (Texas Department of Criminal Justice) Brotherton, Robert (Texas Juvenile Probation Commission) Cranford, Susan (Texas Department of Criminal Justice) Crump, Jack (Texas Jail Commission) Fabelo, Tony (Criminal Justice Policy Council) Fox, Jeannene (Texas Alcoholic Beverage Commission) Graham, Terry (Texas Youth Commission) Hightower, Allen (Inmate Managed Health Care Committee) McNutt, David (Texas Department of Criminal Justice) Morrow, Mike (Windham School District) Robinson, Steve (Texas Youth Commission) Rodriguez, Victor (Board of Pardons and Paroles) Scott, Wayne (Texas Department of Criminal Justice) Smith, David (Texas Department of Criminal Justice) Spriggs, Vicki (Texas Juvenile Probation Commission) Winters, Clint (Comptroller's Office) Yarbrough, Randy (Texas Alcoholic Beverage Commission)


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At EdCamps, your child will have the opportunity to do activities such as the following:
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Displays the last time the site published accounting data to the GOC.
A warning / error is raised if the site has not published accounting data for 7 / 31 days, if a site has not published data for 31 days, which usually signifies a problem with APEL or RGMA services.


| Course Icon Block(s) | Suggested Use |
|---|---|
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Course Icon: Assessment |
Icon for an assessment. |
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Course Icon: Brainstorming |
Icon for a brainstorming activity. |
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This module is provided to support legacy code. New code should not depend on autoconf.
CONFIGH_TARGETS will be built during the "pretarget" phase of a build. CONFIGH_TARGETS may be built in isolation by requesting the "autoconf_configh" target.
# The source root of this component COMPONENT_ROOT=../.. # The root of the build system BS_ROOT=$(COMPONENT_ROOT)/../build3 # Bootstrap Build system definitions. include $(BS_ROOT)/defines.mk CONFIGH_TARGETS=configure-foo.h # Finally, include the rules to make the build system go. include $(BS_ROOT)/rules.mk


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Hi
It would be great to be able to display a map of an OEM network in EmonCMS.
It will ease the management of an OEM network. I mean displaying a tree graph with :
- The EmonCMS server at the top with its main parameters : hardware, IP adress, EmonCMS version, ...
- Every EmonBase sending data to the EmonCMS server with its main parameters : hardware, IP adress, software version, ...
- Every Sensors sending data to the EmonBases : hardware, sketch name, node ID, calibration values, ...
Each item of this diagram will display a color (green, orange or red) according to its status (up and running, inactive for a long time, or down)
Right now, I have no time to develop this functionality. Moreover, I guess that it will also need some modifications in the software (EmonTX/TH sketch and Emonbase). So I am not anymore experienced to do it.
Anyway, I am interested in your opinion about this functionality. Is it worth doing it ? Did someone develop a similar functionality ? What should/could be displayed ? What should be modified in the sensors and Emonbase software ?
Thank's
Eric
Re: Be able to display a map of an OEM network in EmonCMS
Hello Eric, Nice idea! You could probably do a lot of it with the information currently available in emoncms such as the nodeid's, last update times for status. To get the basestation IP address this could be done from within emoncms with php $_SERVER["REMOTE_ADDR"] variable. Creating the map graphics and getting interactivity would probably be hardest part I imagine? It would be nice feature.
Re: Be able to display a map of an OEM network in EmonCMS
Hi Tristan,
Well, I have no time to dive into the EmonCMS code now.
I will try to implement that feature later but not in the coming weeks.


OPTI Toolbox License
The OPTI Toolbox is released under the relatively unrestrictive BSD 3 Clause license to ensure redistribution terms are properly defined.
BSD 3 Clause OPTI Toolbox License (BSD Simplified)
Copyright (C) 2013, Jonathan Currie
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the Industrial Information & Control Centre nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

Copyright © 2011-2013 Jonathan Currie (I2C2)


Tik-Tok of Oz
by L. Frank Baum
Chapter 12: “The Lovely Lady of Light”
Additional Information
- Year Published: 1914
- Language: English
- Country of Origin: United States of America
- Source: Baum, L. F. (1914). Tik-Tok of Oz. Chicago: Reilly and Britton.
-
Readability:
- Flesch–Kincaid Level: 7.0
- Word Count: 1,504
- Genre: Fantasy
- Keywords: 20th century literature, american literature, books of oz, children's literature, fantasy, l. frank baum
- ✎ Cite This
Downloads
The palace of the Queen of Light stood on a little eminence and was a mass of crystal windows, surmounted by a vast crystal dome. When they entered the portals Erma was greeted by six lovely maidens, evidently of high degree, who at once aroused Betsy’s admiration. Each bore a wand in her hand, tipped with an emblem of light, and their costumes were also emblematic of the lights they represented. Erma introduced them to her guests and each made a graceful and courteous acknowledgment.
First was Sunlight, radiantly beautiful and very fair; the second was Moonlight, a soft, dreamy damsel with nut-brown hair; next came Starlight, equally lovely but inclined to be retiring and shy. These three were dressed in shimmering robes of silvery white. The fourth was Daylight, a brilliant damsel with laughing eyes and frank manners, who wore a variety of colors. Then came Firelight, clothed in a fleecy flame-colored robe that wavered around her shapely form in a very attractive manner. The sixth maiden, Electra, was the most beautiful of all, and Betsy thought from the first that both Sunlight and Daylight regarded Electra with envy and were a little jealous of her.
But all were cordial in their greetings to the strangers and seemed to regard the Queen of Light with much affection, for they fluttered around her in a flashing, radiant group as she led the way to her regal drawing-room.
This apartment was richly and cozily furnished, the upholstery being of many tints, and both Betsy and Polychrome enjoyed resting themselves upon the downy divans after their strenuous adventures of the day.
The Queen sat down to chat with her guests, who noticed that Daylight was the only maiden now seated beside Erma. The others had retired to another part of the room, where they sat modestly with entwined arms and did not intrude themselves at all.
The Queen told the strangers all about this beautiful land, which is one of the chief residences of fairies who minister to the needs of mankind. So many important fairies lived there that, to avoid rivalry, they had elected as their Ruler the only important personage in the country who had no duties to mankind to perform and was, in effect, a Private Citizen. This Ruler, or Jinjin, as was his title, bore the name of Tititi-Hoochoo, and the most singular thing about him was that he had no heart. But instead of this he possessed a high degree of Reason and Justice and while he showed no mercy in his judgments he never punished unjustly or without reason. To wrong-doers Tititi-Hoochoo was as terrible as he was heartless, but those who were innocent of evil had nothing to fear from him.
All the Kings and Queens of this fairyland paid reverence to Jinjin, for as they expected to be obeyed by others they were willing to obey the one in authority over them.
The inhabitants of the Land of Oz had heard many tales of this fearfully just Jinjin, whose punishments were always equal to the faults committed. Polychrome also knew of him, although this was the first time she had ever seen him face to face. But to Betsy the story was all-new, and she was greatly interested in Tititi-Hoochoo, whom she no longer feared.
Time sped swiftly during their talk and suddenly Betsy noticed that Moonlight was sitting beside the Queen of Light, instead of Daylight.
“But tell me, please,” she pleaded, “why do you all wear a dragon’s head embroidered on your gowns?”
Erma’s pleasant face became grave as she answered:
“The Dragon, as you must know, was the first living creature ever made; therefore the Dragon is the oldest and wisest of living things. By good fortune the Original Dragon, who still lives, is a resident of this land and supplies us with wisdom whenever we are in need of it. He is old as the world and remembers everything that has happened since the world was created.”
“Did he ever have any children?” inquired the girl.
“Yes, many of them. Some wandered into other lands, where men, not understanding them, made war upon them; but many still reside in this country. None, however, is as wise as the Original Dragon, for whom we have great respect. As he was the first resident here, we wear the emblem of the dragon’s head to show that we are the favored people who alone have the right to inhabit this fairyland, which in beauty almost equals the Fairyland of Oz, and in power quite surpasses it.”
“I understand about the dragon, now,” said Polychrome, nodding her lovely head. Betsy did not quite understand, but she was at present interested in observing the changing lights. As Daylight had given way to Moonlight, so now Starlight sat at the right hand of Erma the Queen, and with her coming a spirit of peace and content seemed to fill the room. Polychrome, being herself a fairy, had many questions to ask about the various Kings and Queens who lived in this far-away, secluded place, and before Erma had finished answering them a rosy glow filled the room and Firelight took her place beside the Queen.
Betsy liked Firelight, but to gaze upon her warm and glowing features made the little girl sleepy, and presently she began to nod. Thereupon Erma rose and took Betsy’s hand gently in her own.
“Come,” said she; “the feast time has arrived and the feast is spread.”
“That’s nice,” exclaimed the small mortal. “Now that I think of it, I’m awful hungry.
The Queen smiled and led her to a doorway. As she pushed aside a heavy drapery a flood of silvery light greeted them, and Betsy saw before her a splendid banquet hall, with a table spread with snowy linen and crystal and silver. At one side was a broad, throne-like seat for Erma and beside her now sat the brilliant maid Electra. Polychrome was placed on the Queen’s right hand and Betsy upon her left. The other five messengers of light now waited upon them, and each person was supplied with just the food she liked best. Polychrome found her dish of dewdrops, all fresh and sparkling, while Betsy was so lavishly served that she decided she had never in her life eaten a dinner half so good.
“I s’pose,” she said to the Queen, “that Miss Electra is the youngest of all these girls.”
“Why do you suppose that?” inquired Erma, with a smile.
“‘Cause electric’ty is the newest light we know of. Didn’t Mr. Edison discover it?”
“Perhaps he was the first mortal to discover it,” replied the Queen. “But electricity was a part of the world from its creation, and therefore my Electra is as old as Daylight or Moonlight, and equally beneficent to mortals and fairies alike.”
Betsy was thoughtful for a time. Then she remarked, as she looked at the six messengers of light:
“We couldn’t very well do without any of ‘em; could we?”
Erma laughed softly. “I couldn’t, I’m sure,” she replied, “and I think mortals would miss any one of my maidens, as well. Daylight cannot take the place of Sunlight, which gives us strength and energy. Moonlight is of value when Daylight, worn out with her long watch, retires to rest. If the moon in its course is hidden behind the earth’s rim, and my sweet Moonlight cannot cheer us, Starlight takes her place, for the skies always lend her power. Without Firelight we should miss much of our warmth and comfort, as well as much cheer when the walls of houses encompass us. But always, when other lights forsake us, our glorious Electra is ready to flood us with bright rays. As Queen of Light, I love all my maidens, for I know them to be faithful and true.”
“I love ‘em too!” declared Betsy. “But sometimes, when I’m real sleepy, I can get along without any light at all.”
“Are you sleepy now?” inquired Erma, for the feast had ended.
“A little,” admitted the girl.
So Electra showed her to a pretty chamber where there was a soft, white bed, and waited patiently until Betsy had undressed and put on a shimmery silken nightrobe that lay beside her pillow. Then the light-maid bade her good night and opened the door.
When she closed it after her Betsy was in darkness. In six winks the little girl was fast asleep.


Business Company
Customer Info / Look-Up
Caller-specific Options
V.I.P.
Telemarketer
RUDE
This caller has ## calls logged.
This caller IS a client.
This caller IS NOT the devil.
THIS SECTION WILL HOUSE THE FORM FOR ADDING NEW CALLS.
THIS SECTION WILL HOUSE THE RECORD OF CALLS FROM THIS CUSTOMER
THIS SECTION WILL HOUSE SIMPLE USER OPTIONS. Log Out, ... that might be it


|
Biomedical Image Analysis Library
The Biomedical Image Analysis Library is a poweful tool for developers, physicians, researchers, engineers, and so on.
|
#include "gzguts.h"
Go to the source code of this file.
Functions | |
| static int | gz_load () |
| static int | gz_avail () |
| static int | gz_look () |
| static int | gz_decomp () |
| static int | gz_fetch () |
| static int | gz_skip () |
| static int | gz_load (gz_statep state, unsigned char *buf, unsigned len, unsigned *have) |
| static int | gz_avail (gz_statep state) |
| static int | gz_look (gz_statep state) |
| static int | gz_decomp (gz_statep state) |
| static int | gz_fetch (gz_statep state) |
| static int | gz_skip (gz_statep state, long len) |
| int | gzread (gzFile file, voidp buf, unsigned len) |
| int | gzgetc (gzFile file) |
| int | gzgetc_ (gzFile file) |
| int | gzungetc (int c, gzFile file) |
| char * | gzgets (gzFile file, char *buf, int len) |
| int | gzdirect (gzFile file) |
| int | gzclose_r (gzFile file) |
|
static |
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static |
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static |
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static |
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static |
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static |
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static |


-
Undocumented
Declaration
Swift
let challenge: Data
-
Undocumented
Declaration
Swift
let applicationParameter: Data
-
Undocumented
Declaration
Swift
let checkOnly: Bool
-
Undocumented
Declaration
Swift
let keyHandle: Data
-
Undocumented
Declaration
Swift
let registerAPDU: RegisterAPDU
-
Undocumented
Declaration
Swift
var onDebugMessage: ((APDUType, String) -> Void)?
-
Undocumented
Declaration
Swift
fileprivate(set) var userPresenceFlag: UInt8?
-
Undocumented
Declaration
Swift
fileprivate(set) var counter: UInt32?
-
Undocumented
Declaration
Swift
fileprivate(set) var signature: Data?
-
Undocumented
Declaration
Swift
init?(registerAPDU: RegisterAPDU, challenge: Data, applicationParameter: Data, keyHandle: Data, checkOnly: Bool = false)
-
Undocumented
Declaration
Swift
func buildRequest() -> Data
-
Undocumented
Declaration
Swift
func parseResponse(_ data: Data) -> Bool


|
RVL
1.0
|
Evaluation for product domain case, provided only for type-safety. More...
#include <op.hh>
Public Member Functions | |
| OperatorProductDomainEvaluation (OperatorProductDomain< Scalar > &_f, const Vector< Scalar > &_x) | |
| Main constructor: takes an OperatorProductDomain and a Vector, records these. More... | |
| virtual | ~OperatorProductDomainEvaluation () |
| const LinearOp< Scalar > & | getPartialDeriv (int ic) |
| returnse reference to partial derivative operators by index (internal datum) More... | |
| ostream & | write (ostream &str) const |
| Public Member Functions inherited from RVL::OperatorEvaluation< Scalar > | |
| OperatorEvaluation (const Operator< Scalar > &_f, const Vector< Scalar > &x) | |
| OperatorEvaluation (const OperatorEvaluation< Scalar > &ev) | |
| virtual | ~OperatorEvaluation () |
| Space< Scalar > const & | getDomain () const |
| access to domain, implemented by delegation to Operator reference data member More... | |
| Space< Scalar > const & | getRange () const |
| access to range, implemented by delegation to Operator reference data member More... | |
| Vector< Scalar > & | getPoint () |
| reference to evaluation point - can be assigned to More... | |
| Vector< Scalar > const & | getPoint () const |
| Operator< Scalar > const & | getOp () const |
| reference to evaluated operator copy - cannot be assigned. More... | |
| Vector< Scalar > const & | getValue () const |
| const reference to value (internal datum). More... | |
| LinearOp< Scalar > const & | getDeriv () const |
| const reference to derivative (internal datum) More... | |
| SymmetricBilinearOp< Scalar > const & | getDeriv2 () const |
| const reference to 2nd derivative (internal datum) More... | |
| Public Member Functions inherited from RVL::Writeable | |
| virtual | ~Writeable () |
| void | write (RVLException &e) const |
| Report state of object to RVLException. More... | |
Friends | |
| class | PartialDerivEvaluation< Scalar > |
Additional Inherited Members | |
| Protected Member Functions inherited from RVL::OperatorEvaluation< Scalar > | |
| void | applyDeriv (const Vector< Scalar > &yin, Vector< Scalar > &yout) const |
| contracted version of Operator::applyDeriv: access through DerivEvaluation More... | |
| void | applyAdjDeriv (const Vector< Scalar > &yin, Vector< Scalar > &yout) const |
| contracted version of Operator::applyAdjDeriv: access through DerivEvaluation More... | |
| void | applyDeriv2 (const Vector< Scalar > &x0, const Vector< Scalar > &x1, Vector< Scalar > &y) const |
| contracted version of Operator::applyDeriv2: access through Deriv2Evaluation More... | |
| void | applyAdjDeriv2 (const Vector< Scalar > &x0, const Vector< Scalar > &y, Vector< Scalar > &x1) const |
| contracted version of Operator::applyAdjDeriv: access through DerivEvaluation More... | |
| const ProductSpace< Scalar > & | getProductDomain () const |
| The next three functions throw exceptions if the referenced operator is not an OpProdDom. More... | |
| void | applyPartialDeriv (int i, const Vector< Scalar > &yin, Vector< Scalar > &yout) const |
| void | applyAdjPartialDeriv (int i, const Vector< Scalar > &yin, Vector< Scalar > &yout) const |
| void * | operator new (size_t size) |
| operator new - not available to general public, but available to children and friends More... | |
Evaluation for product domain case, provided only for type-safety.
| RVL::OperatorProductDomainEvaluation< Scalar >::OperatorProductDomainEvaluation | ( | OperatorProductDomain< Scalar > & | _f, |
| const Vector< Scalar > & | _x | ||
| ) |
Main constructor: takes an OperatorProductDomain and a Vector, records these.
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virtual |
| const LinearOp<Scalar>& RVL::OperatorProductDomainEvaluation< Scalar >::getPartialDeriv | ( | int | ic | ) |
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virtual |
Reimplemented from RVL::OperatorEvaluation< Scalar >.
|
friend |


Hi there. I am a Software Engineer. I love to write code to build great products. I have been working professionally in software development since 2017 in the web and mobile spaces with experience across various sectors including banking, pharmaceutical, ERPs etc.
Working as a Mobile Developer. Ricult is an AgriTech startup utilizing modern techniques like crop scan which helps increase productivity of farmers exponentially and also facilitates financing between farmers and banks or mills
The frontend is built on React Native and Ionic and backend is on Python
Worked on backend and frontend applications, web as well as mobile. Developing account opening applications using following technologies, react native, redux, realm, native modules, async storage, redux-persist, react navigation, tcomb form native, native base, axios/fetch etc.
Also, working on IBM BPM to building processes for automation of business processes.
Worked as a full stack developer. Working on PHP, Yii 2 framework, MVC, Gii, RBAC, pjax, mailing, helper/components, unit testing, MySql and MariaDB queries/triggers/stored procedures/events, Bootstrap, Jquery, Javascript, AJAX, REST APIs etc
Helped the institue solving their problem by automating their manual and lengthy work. Using React Native created both Android and iOS apps. Students can sign in using their registered number via OTP and track their attendance and grades. Management can send important announcements for example for job openings and/or upcoming events received via push notifications, earlier sent via numerous whatsapp groups
Technologies: React Native with Redux toolkit, React hooks, Firebase push notificaitons, Firebase phone authentication using OTP.
Users can signup and share their screams visible to other users who like or comment on their screams as well
Technologies: Frontend on React with Redux deployed on Firebase. Node js backend with Authentication and Authorization deployed as Firebase functions also utilized Firestore, Firebase storage and Firebase triggers
View Project or Live DemoCOLORBOX is an Inventory Management System for managing the sales of boxes of cloth's threads/shades using Barcode technology. This project can generate and scan Code128 Barcodes labels.
Technologies: Yii 2.0, PHP, MySQL, Heroku, Barcode
View Project or Live DemoBackend developer to build API module of micro-services architecture to expose the APIs to third parties to take packages, devices and bill their customers for OTT-TV services. Dockerized the application and integrated with Bitbucket pipeline for Continuous Integration
Technologies: Yii 2.0, PHP, MySQL (Procedures+Triggers+Functions), REST APIs, CRON, Docker, Bitbucket Pipeline for CI, Unit Testing
A web-based management software 'DataBurj' where NOP students and instructors manage attendance and share resources; and Administration send pdf invoices to students
Technologies: Ruby on Rails, MySQL, PDF
An online repository, mainly open to those who are looking to make some PRs for the Hacktoberfest event, and to get started with GitHub and the open-source world. In this repository, you can find the solutions (as source code) for the problems in HackerRank.
Technologies: Github, Markdown, Issue Tracker
View Project or Live Demo


We’re running a Minecraft server! It’s staffed with helpers 10am-10pm (hours subject to change). The server address is minecraft.arisia.org.
To join an external server, follow the instructions on this Minecraft wiki page.
Throughout the weekend, we will run sessions of various Jackbox games and also Among Us for the community to participate in. They will run on Zoom. The links are posted in the schedule.
Want to play another game with your friends from Arisia? Use the #lfg-video-games channel on Discord to search for a group. Game ratings allowed: E, E10+, T
Keep in mind that on the Minecraft server, in community games, and in pickup games, the Arisia Code Of Conduct applies. This means that if you participate in griefing or trolling, Arisia will treat that behavior as if it happened in person, at the convention. Be nice.


Apple Inc.
1 Infinite Loop
95014 Cuperino, CA
United States
Telephone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
#9048392
29th Mar 2013
John Smith
2nd Floor
St John Street, Aberdeenshire 2541
United Kingdom
Phone: 031-432-678
Email<EMAIL_ADDRESS>John Smith
2nd Floor
St John Street, Aberdeenshire 2541
United Kingdom
Phone: 031-432-678
Email<EMAIL_ADDRESS>Order date: 26th Mar 2013
Order status: Shipped
Order ID: #9399034
| QTY | DESCRIPTION | UNIT PRICE | TOTAL |
|---|---|---|---|
| 1 | iPhone 5 32GB White & Silver (GSM) Unlocked | $749.00 | $749.00 |
| 2 | iPad mini with Wi-Fi 32GB - White & Silver | $429.00 | $858.00 |
| Subtotal | $1607.00 | ||
| Shipping | $0.00 | ||
| VAT Included in Total | $0.00 | ||
| Total | $1607.00 |


This script defines text utilities and is included in the J standard library. Definitions are loaded into the z locale.
| C | cutpara |
| F | foldpara, foldtext |
| T | topara |
Cut text into boxed list of paragraphs.
cutpara text
cutpara 'one',LF,'two',LF2,'three'
┌────────┬─────┐
│one two │three│
└────────┴─────┘
Fold string of text with no LF.
See also foldtext which calls this utility on each paragraph.
width fold data
Fold text to given width.
width foldtext text
A=: 'In the very middle of the court was a table, with a large dish of tarts upon it.'
30 foldtext A
In the very middle of the
court was a table, with a
large dish of tarts upon it.
Convert text to paragraphs.
topara text
Replaces single LFs not followed by blanks by spaces, except for LF's at the beginning
topara 'one',LF,'two',LF2,'three'
one two
three


Cannons Armed Front to Back Random Cannon 1 Cannon 2 Cannon 3 Cannon 4 Flame On Time: Flame Off Time:
Sparkle Value: Sparkle Hue: Chase Distance: Chase Hue: Background Intensity: Background Hue: Fade Value: Speed:
AntiDysentery Flame Throwing Covered Wagon Created by Scott Schipper Website Design by Chris Schipper


{% extends 'emails/email_base.html' %}
{% block title %}
{% block preview %}
Your password reset from {{ domain }}
{% endblock %}
{% endblock %}
{% block body %}
{% load i18n %}
{% autoescape off %}
{% blocktrans %}Someone, hopefully you, has requested a password reset for your {{ site_name }} account.
{% endblocktrans %}
{% trans "Please go to the following page and choose a new password:" %}
{% block reset_link %}
{{ protocol }}://{{ domain }}{% url 'users:password-reset-confirm' uidb64=uid token=token %}
{% endblock %}
{% blocktrans %}
If you don't wish to reset your password, disregard this email and no action will be taken.
{% endblocktrans %}
{% trans 'We recommend that you keep your password secure and not share it with anyone. If you feel your password has been compromised, you can change it by going to your profile page and clicking on the Change Password link: ' %}
{{ protocol }}://{{ domain }}{% url 'users:profile' username=user.get_username %}
{% trans 'If you need help, or you have any other questions, feel free to email us using our contact page' %}
{{ protocol }}://{{ domain }}{% url 'home:contact' %}
{% endautoescape %}
{% endblock %}


HTML Forms Example
Meta Data
Title:
First Name:
Last Name:
Published On:
Status
Draft
Review
Final
Article Content:


Files CCore/inc/StartStop.h CCore/src/StartStop.cpp
The class StartStopObject is designed to start and stop active objects. An active object is the object with one or several associated working thread.
template <RunnableType T>
class StartStopObject : NoCopy
{
T &obj;
Sem stop_sem;
public:
template <class ... TT>
StartStopObject(T &obj,TT ... tt);
~StartStopObject();
};
The working thread is started by the constructor, and destructor ensures it is finished. An additional arguments can be used to control thread properties (see Task constructor arguments).
The class T must provide the following methods:
class ActiveClass { public: void prepareRun(); void objRun(); void completeRun() noexcept; void signalStop(); void completeStop(); };
prepareRun() is called before starting a thread. It may throw an exception, if the object cannot be started.
objRun() is the working method, it is called in the working thread.
completeRun() is called after successful start of the thread. It must not throw exceptions.
signalStop() is called to signal to the object to stop execution.
completeStop() is called after the thread is stopped.
These methods are called in the shown order (except objRun()).
Here is an example:
class Device : NoCopy { Atomic stop_flag; Mutex mutex; bool running; // void set(bool running_) { Mutex::Lock lock(mutex); running=running_; } // object run public: void prepareRun() { stop_flag=0; } void objRun() { set(true); while( !stop_flag ) { // doing something } } void completeRun() noexcept { set(true); } // we set running flag either way void signalStop() { stop_flag=1; } void completeStop() { set(false); } }; .... Device device; { StartStopObject start_stop(device); // do something, device is working here too } // device is stopped on the scope exit


Ebook
My choice(s): Amazon Kindle Possible alternatives: None
I have been using Amazon for years. All my books are ebooks and have been purchased from Amazon
I have been using Amazon for years. All my books are ebooks and have been purchased from Amazon
blah
blah
blah
blah
blah
blah
blah
blah


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
For the pommes purées, bring the potatoes to the boil in a large pan of cold, salted water. Reduce the heat until the water is just simmering and cook for 25-30 minutes, or until the potatoes are soft.
Drain well in a colander, setting the drained potatoes aside for 2-3 minutes to drive off the excess steam.
Mash the potatoes until smooth using a potato ricer or masher. Return the potato purée to a saucepan, add the milk and beat well until combined.
Beat in the butter until the mixture is fluffy and forms firm peaks, then season, to taste, with salt and freshly ground white pepper. Keep warm.
Meanwhile, for the pollock, preheat the oven to its highest setting.
Scatter the bread cubes onto a large baking tray and dry roast in the oven for 3-4 minutes, or until crisp and golden-brown. Remove the croûtons from the oven and set aside.
Reduce the oven temperature to 200C/400F/Gas 6.
Pat the pollock fillets dry using kitchen paper, then season all over, to taste, with the salt and freshly ground white pepper.
Heat the butter in a frying pan over a medium heat. When the butter is foaming and starting to brown, add the pollock fillets, skin-sides facing upwards, and fry for 4-5 minutes, or until two thirds of each fish fillet has turned opaque.
Using a fish slice, carefully turn each pollock fillet over and continue to cook for a further 2-3 minutes.
Transfer the fish fillets to a cold ovenproof frying pan and roast in the oven for 3-4 minutes, or until just cooked through, then set the fish fillets aside on a warm plate to rest.
Return the frying pan used to cook the pollock to a high heat. Add the brown chicken stock and water and bring to the boil.
Add the capers, chopped lemon segments, shallots, caper berries and two-thirds of each of the herbs. Stir well and continue to cook for 1-2 minutes, or until warmed through. Season, to taste, with salt and freshly ground white pepper.
To serve, spoon the pommes purées into the centre of each of 4 serving plates. Place one pollock fillet on top of each portion. Spoon over the caper and lemon sauce, then sprinkle over the croûtons and the remaining herbs.


| ETAPA 1 (MOTOS): | General |
| Pos. | Piloto | Marca | Penalización | Diferencia |
| 1 | Toby PRICE | KTM 450 Rally Factory | 3:39:39.0 | |
| 2 | Sam SUNDERLAND | KTM 450 Rally Factory | +35.0 | |
| 3 | Pablo QUINTANILLA | Husqvarna 450 Rally Factory | +1:09.0 | |
| 4 | Helder RODRIGUES | Yamaha WR 450 | +14:08.0 | |
| 5 | Jakub PIATEK | KTM 450 Rally Replica | +15:16.0 | |
| 6 | Txomin ARANA COBEAGA | Husqvarna FR 450 Rally | +15:48.0 | |
| 7 | Mohammed AL BALOOSHI | KTM 450 Rally Replica | +17:17.0 | |
| 8 | David MCBRIDE | KTM 450 Rally Replica | +21:03.0 | |
| 9 | Laia SANZ | KTM 450 Rally Factory | +25:53.0 | |
| 10 | Pierre Alexandre RENET | Husqvarna 450 Rally Factory | +29:37.0 | |
| 11 | Jose Ignacio CORNEJO | KTM 450 Rally Replica | +33:59.0 | |
| 12 | Steve BLACKNEY | KTM EXC500 | +52:58.0 | |
| 13 | David THOMAS | Husqvarna FR 450 Rally | +56:06.0 | |
| 14 | Khalid AL FALASI | Honda CRF 450 | +58:27.0 | |
| 15 | Rafal SONIK | Honda TRX 700 | +1:02:10.0 | |
| 16 | Rodney FAGGOTER | Yamaha WR 450 | 5:00.0 | +1:08:33.0 |
| 17 | Camelia LIPAROTI | Yamaha Raptor 700 | +1:25:57.0 | |
| 18 | Scott BRITNELL | Husqvarna FE450 | +1:27:53.0 | |
| 19 | Pawel STASIACZEK | KTM 450 Rally Replica | 5:00.0 | +1:28:24.0 |
| 20 | David MABBS | KTM 450 Rally Replica | +1:38:54.0 | |
| 21 | Ibrahim ALRUBAIAN | KTM 450 Rally Replica | +1:39:10.0 | |
| 22 | Jacob SMITH | Honda CRF 450 R | 5:00.0 | +1:49:13.0 |
| 23 | Ibrahim BUGLA | Honda CRF 490 | +1:50:39.0 | |
| 24 | Paul MIDDLETON | KTM 450 Rally Replica | +1:51:48.0 | |
| 25 | Joikef SVEINBJORNSSON | Husqvarna FR 450 Rally | +1:52:55.0 | |
| 26 | Ben YOUNG | KTM 450 Rally Replica | +1:53:42.0 | |
| 27 | Rosa ROMERO FONT | KTM 450 Rally Replica | +1:54:22.0 | |
| 28 | Jubany HERMS FERRAN | KTM 450 Rally Replica | +1:58:14.0 | |
| 29 | Arjan BOS | Husqvarna FR 450 Rally | +2:19:31.0 | |
| 30 | Mark DAVIDSON | KTM SXF 450 | +2:21:05.0 | |
| 31 | Yevgeniya NESTEROVA | Husqvarna FC 450 | +2:37:09.0 | |
| 32 | Thomas PREUSS | KTM 450 Rally Replica | +2:49:53.0 | |
| 33 | Stephan PREUSS | KTM 450 Rally Replica | +2:54:11.0 | |
| 34 | Ignacio CASALE | Yamaha Raptor 700 | 6:00:00.0 | +6:56:12.0 |
| 35 | Kees KOOLEN | Honda TRX 680 | 6:50:00.0 | +11:15:08.0 |
| 36 | Tony SCHATTAT | KTM 450 Rally Replica | 8:30:00.0 | +12:52:48.0 |
| 37 | Deniz ALGUN | KTM EXC500 | 8:30:00.0 | +12:53:03.0 |
| 38 | Jan ZATKO | Honda CRF 450 | 14:30:00.0 | +18:52:58.0 |
| 39 | Carlo SEMINARA | KTM 450 Rally Replica | 19:30:00.0 | +23:53:28.0 |


--- title: Projects layout: page permalink: /projects/ ---
On this page you'll find documentation for different projects I'm working on. This section will only be used for my own projects.


My fork of Thomas Bradley's javascript excellent signature library: https://github.com/ezl/signature-pad
Original library: https://github.com/thomasjbradley/signature-pad/
This page just demonstrates two things:
The first is the fork with smoothing by me, the first is the original library by Thomas Bradley.
Smoothing: Bezier curves that pass through all sampled points
Stroke width is determined by using distance between measured points as a proxy for the mouse velocity at the time the signature was created.
Resizing: This signature also resizes if you refresh or resize the browser window.
This finds the largest intersection of the recording canvas and rendering canvas, maps the recorded signature points to that new canvas, then centers it to generate a scaled, centered signature.
Smoothing: Straight line segments between sampled signature points (original)
The original method creates straight lines and kinks between the sampled points.
Resizing: The data is saved as a (x,y) coordinates from the top left corner of the canvas, measured in pixels.
As a result, if you regenerate the signature on a canvas that is smaller than the canvas on which the signature was recorded, the signature will render off the canvas.


My experience for creating this website was overall very fun. I highly enjoyed using CSS to play around with the elements, as well as use my knowledge of HTML to program the website and critique the design. I enjoyed almost every part of designing this website. I got some good laughs when using CSS because of how the page came out, I learned some new tricks in both HTML and CSS on how to program in different ways, and applying this newly obtained knowledge was even more enjoyable. Creating and designing websites are definitely one of the most fun things to do in programming.
Developing websites in surely a difficult task as you need to have everything in order and sized correctly to prevent just some of the potential issues that may arise. While knowing the code that is behind a website, it was still a lot of trial and error and viewing the website constantly to see if you agree with the layout/functionality of the site. This may require a lot of rewriting code (or at least a lot of moving code around in the correct order). Websites should be constantly updated and maintained properly to ensure the user's comfortability on your site.
Please contact me with any feedback, whether it's how you are enjoying my site or what I should improve. Thank you!!!