| 005:013 Khan | : |
So because of their breach of their covenant, We cursed them, and made their hearts grow hard. They change the words from their (right) places and have abandoned a good part of the Message that was sent to them. And you will not cease to discover deceit in them, except a few of them. But forgive them, and overlook (their misdeeds). Verily, Allah loves Al-Muhsinun (good-doers - see V.2:112). |
| 005:013 Maulana | : |
But on account of their breaking their covenant We cursed them and hardened their hearts. They alter the words from their places and neglect a portion of that whereof they were reminded. And thou wilt always discover treachery in them excepting a few of them -- so pardon them and forgive. Surely Allah loves those who do good (to others). |
| 005:013 Pickthal | : |
And because of their breaking their covenant, We have cursed them and made hard their hearts. They change words from their context and forget a part of that whereof they were admonished. Thou wilt not cease to discover treachery from all save a few of them. But bear with them and pardon them. Lo! Allah loveth the kindly. |
| 005:013 Rashad | : |
It was a consequence of their violating the covenant that we condemned them, and we caused their hearts to become hardened. Consequently, they took the words out of context, and disregarded some of the commandments given to them. You will continue to witness betrayal from them, excepting a few of them. You shall pardon them, and disregard them. GOD loves those who are benevolent. |
| 005:013 Sarwar | : |
For their disregard of their solemn covenant with God, We condemned the Israelites and made their hearts hard as stone. Now they displace the words of God and have forgotten their share of the guidance that they had received. Still you receive news of the treachery of all but a few of them. Forgive and ignore them. God loves the righteous ones. |
| 005:013 Shakir | : |
But on account of their breaking their covenant We cursed them and made their hearts hard; they altered the words from their places and they neglected a portion of what they were reminded of; and you shall always discover treachery in them excepting a few of them; so pardon them and turn away; surely Allah loves those who do good (to others). |
| 005:013 Sherali | : |
So, because of their breaking of the covenant, WE have cursed them and have hardened their hearts. They pervert the words from their proper places and have forgotten a good part of that with which they were exhorted. And thou wilt not cease to discover treachery on their part, except a few of them. So pardon them and show forbearance. Surely ALLAH loves those who do good to others. |
| 005:013 Yusufali | : |
But because of their breach of their covenant, We cursed them, and made their hearts grow hard; they change the words from their (right) places and forget a good part of the message that was sent them, nor wilt thou cease to find them- barring a few - ever bent on (new) deceits: but forgive them, and overlook (their misdeeds): for Allah loveth those who are kind. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > حبه تعالى Pillars of Islam> Islamic> Oneness of Allah> His Love القرآن الكريم > تأويل المتأولين وتحريفاتهم The Holy Quran> The Interpretation of the Interpreter and their Falsification الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > العفو مقرونا بالصفح Man and The Moral Relations> Good Morals>Amnesty Associated with Forgiveness الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > القساوة Man and The Moral Relations>The Dispraised Morals>Cruelty الإنسان والعلاقات الاجتماعية > المجتمع > العفو والصفح وكظم الغيظ Man and The Social Relations>The Society>Forgiveness, Tolerance and Supressing Distress الديانات > بنو إسرائيل > تحريفهم كلام الله Religions>Children of Israel>Their Distortion of Allah's Words الديانات > بنو إسرائيل > حالاتهم Religions>Children of Israel>Their Status
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Banking is the study of money.It is used to fund and startup everything we use in our day to day lives. Banking and realestate goes hand and hand.
 You need good credit to get a good loan and start a good franchise. You need knowledge and
great personnel to effectively run the business. Then you need the technology to keep your business alive.
There is not one without the other. Our whole system is based off banking a rules that should not be underwritten. I am not going to say
all banks do is fund people and institutions, this would be false. Banks practically regulate our economy and the currency that goes through
each city. They can be a great starting point in to your world full of money. Again you should not underwrite nor be over confident when it comes to either
finincial tool.
For anybody who knows something there is always something
more to learn. Please let me enlighten you. This article is going to be talking
about the best types of compound interest and how to make your money grow for you. Interested in making some extra cash? Good, I thought so, I am too.
Compounding is a very handy money saving and maturity tool that will help you make more money. Compounding is widly talked about because of its leaps you can
make from rags to riches. In layman's terms, compounding is reinvesting your money you have earned from an investment and instead of spending that money
you reinvest it into another money savings tool. Like buying a computer and selling it and then buying more computers with that money and doing the
process all over again. To get technical you can take your reinvested money and let it compound in the bank for a spiffy pojected outcome. This is
called automated compounding because you dont have to do much and your money will reinvest itself. Look up CDs and Money Market Accounts, banking systems
have great tools they use to help you.
RealEstate
Banking and real-estate is like a work of art, you have to focuse on one part at a time to understand the whole process.
Always be responsible with money you own. There are many aspects of banking but banking revolves around credit and currency.  People make these accusations about money and loans that are driving people away from the blessings
they can be getting or should be getting. You need good standing credit to get a house or atleast %5 to 10% down on a home loan (aka)mortgage .
Realestate BluePrint & WholeSales
If you want to make money with realestate and not have to make a down payment. You can think of a lease option agreement,or you can make your credit really good to get a zero down payment.
In a lease option agreement or rent-to-own you dont have to pay for the home right then and there but you do have to close on the contract for the actual lease option in which you go
through a title company for or escrow. You will pay an extra fee to rent out the property which is generally a 15% increase in rent that is the lease option conditions and it will go
towards the down payment as leasing credit so make sure your lender is crediting your transactions. If you option out of the contract you will not be returned the extra money you
have been paying.


Values from the form in login.html get stored into variables userName and passwd. User details are checked by making a request to database. On successful authentication new cookie gets created and users get redirected to the home page. If the login details that user entered are not in database, users gets redirected to login page with an error message.
Created with the Personal Edition of HelpNDoc: Easy to use tool to create HTML Help files and Help web sites


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layout: post
title: PlasmoDB 44 Released
category: [PlasmoDB]
---
We are pleased to announce the release of PlasmoDB 44
Release 45 Webinar
Join us on September 11, 2019 at 10:00 am (EST) for our Release 45 Highlights webinar where we will discuss and
demonstrate new features and data available in release 45 of EuPathDB sites.
Register here
Synteny and the Protein Browser are availabe in our beta implementation of the
JBrowse Genome Browser.
New EuPathDB RNA Seq Tool. The EuPathDB Galaxy Workspace now offers a tool that converts
read counts from HTSeq-count output to FPKM values.
New EuPathDB Workflows. The EuPathDB Galaxy Workspace is updated with several new
pre-configured workflows that are designed to allow export of strand specific data
to EuPathDB for visualization and searching.


I am an engineer in broad strokes, advancing in machine learning and artificial intelligence. I work as a Field Service Engineer, and spend my free time studying software development, mathematics, and machine learning. I am working towards researching more conventionally "intelligent" algorithms and software agents.
GPA: 4.00
Maintain existing fleet of cutting-edge photolithography scanners at customer site. Install and certify new machines upon request. Collect and analyze diagnostic data to determine machine performance and perform root cause analysis. Demonstrate excellent mechanical skills, detailed knowledge of myriad electromechanical systems, and outstanding troubleshooting. Streamline tasks through creation of reference documents, data repositories, and software tools/applications.
Routine tasks…
Notable accomplishments…
Performed sponsored principal research on a wearable gait sensor. Iterated upon existing design to increase device portability and sensor accuracy. Quantified device functionality by designing, performing, and analyzing characteristic and diagnostic testing. Synthesize results of design change and device characterization into published research papers. Documented and communicated research status to various shareholders.
Exposed to and assisted with research on broader topics being conducted by lab peers primarily concerning autonomous flight, human-robot interaction, and machine learning. Gained subject knowledge of advanced topics during weekly presentations concerning all projects.
Routine tasks included…
Notable accomplishments…
I am actually a machine learning nerd! When not at work, I study machine learning and related fields. To learn more about machine learning, I can be found reading articles and academic journals, watching recorded lectures, working through free learning resources from MIT OpenCourseWare, and following coding tutorials. To practice, I frequently re-tool published open-source code.
When I am not studying machine learning, I like to read about personal accounting and making financial analysis tools/software. I hope to one day design an application to help people better understand the consequences of their spending/saving.
To relax, I like to spend time with my wife, talk to family, cook, and watch funny movies and shows.


Links |
|
| Summary presentation | An overview of the Logical Modeller in review mode. Also describes the comments and notes |
Models |
|
| Common model |
This is the current version of the common model which describes the information to be included in the extract.
The view is read-only, but there is the ability to add comments, which will be used as the contents
of the model are discussed. The comments can be viewed in the model itself, and also through the
Comments viewer (see below).
|
| Uber model | This is the original 'uber' model that contained an aggregate of all the elements that could appear in the extract based on all reporting requirements. The common model above contains a subset of those elements - the ones that are usually available - and useful. This model serves as a repository of all these 'possible' elements so they can be reviewed at a later date. |
| Test model | This is a test model to practice making comments & notes without effecting the real models. There is no editor set on the model - which means that you can edit the model directly, but it's very likely that any changes will be overwritten by other users. (You can always create your own model if you want - just set the editor property in the 'Model' tab to make it read-only to others). |
Tools |
|
| Validator | This allows a sample resource (in XML or Json) to be validated |
| Bundle Visualizer | Validates and displays the contents of a Bundle in various ways including a document view |
| ValueSets | The shrimp browser that has a list of all the ValueSets used by the project. |
It's possible to view the model and associated comments without logging in, but to add a new comment - or make a note against a comment then you do need to log in. Logins are shared across applications so you can log in to any of them and it will be remembered for the others. There's an icon to the top right ( ) that will display the login box.
Once you've logged in, your login will be remembered in the browser. To log out, click the logout ( ) icon.
There's an image in the Summary presentation
There's an image in the Summary presentation
This is useful if you want to make a comment about the model that is not related to a specific element.


David Rice
SAP Solution Architect & Project Manager
David Rice defines SAP solutions architecture for Ketch. We are proud of his ability to resurrect and redesign businesses bringing about true transformation. He has over 25 years of Information Technology experience across numerous industries. David is true platinum level.


Twitter Privacy Policy
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Effective: June 18, 2017
Archive of Previous Privacy Policies
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Twitter International Company
Attn: Privacy Policy Inquiry
One Cumberland Place, Fenian Street
Dublin 2, D02 AX07 IRELAND


| DOSE: |
20 ug |
oral |
LSD |
(daily) |
I dissolved a sugarcube with LSD in water with the intention of experimenting with very low doses during my regular work day. No clue about dose, “strength,” age, or provenance of the LSD –- my former roommate had found some cubes in the back of our freezer when we moved out of our apartment and gave me some. I kept the water in a clear glass which I covered with plastic wrap and kept out of direct sunlight during the 8 days or so it lasted. I took sips from the glass on 4 or maybe 5 days, some of the days consecutively, some with several days in between. Who knows how much LSD it was, but I’m wildly guessing that it was between 10 and 30 mics on any given day. I tried to make sure to keep the liquid under my tongue for at least 30 seconds before swallowing it.
My motivation for doing this was curiosity, and the desire to try LSD for its stimulant and anti-depressant effects, rather than its psychedelic effect. [I continue to be a champion of the low dose.] The idea came to me for two reasons. First, several of my friends/acquaintances had been taking daily low-doses [they estimate between 25 and 50 mics but who really knows] for antidepressant effects, for intervals of up to several weeks, with good results. Second, I am intrigued by early research with *daily* microdoses [10 mcg] of LSD for the alleviation of symptoms stemming from autism.
The effects were stimulating/antidepressive like caffeine but without the jitters. I have never tried amphetamine-like substances aside from Euphoria (4-methylaminorex), so I don’t have them to compare to. On most of the days I got an alert, a “brightening,” within an hour, and the alert was pretty much as far as it went for about eight hours, except for one or two days where I must have gotten a slightly higher dose. On all the days, I was more energized and motivated to do stuff, with a long peak around T+4:00. My mood was generally lifted and quite happy and confident. My body overall felt really good, like a tiny all-over MDMA flush. I came to really like the reliably pleasant effects. In fact, I imagined how nice it would be to have these effects every day. Not that I want that to become a habit.
The first day of the experiment, I was paying attention to whether I would get any anxiety feelings, which I have been susceptible to in the past. I got no such feelings [anxiety feels like lack of control, which isn’t really that fun when I’m trying to work]. I felt more focused and able to concentrate.
The second day I tried my microdose, I was feeling sort of blue. After taking the sip, I walked around town for a bit, and felt very independent and self-assured. Then I entertained myself all alone, with no desire to really interact with anyone else. I felt autonomous and grounded. This could have been an effect of the drug, or it could have been a coincidence.
The subsequent days that I tried my sips, they were like little afterthoughts in the day. I didn’t plan on them, I just realized some time during the day, “oh look, there’s my glass of dilute LSD,” and I was psyched to take some, but with about as much concern as having a latte. The final day of my experiment, I still got an effect, which means whatever drug was left didn’t suffer too much from a week of sitting out in room-temperature and ambient light.
On one of the days, I got muscle tension in my lower back, which is not where I generally hold tension. The tension faded once I got away from the computer, left the house, and moved around for a while. I did not notice any effects on my sleeping pattern or appetite.
It would be nice to continue this use of LSD, which fit nicely in my regularly scheduled life. I wonder what the long-term effects might be from doing daily microdosing, aside from the obvious problem of unreliable supply.
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.


Configuration Guide¶
Table of Contents
Prerequisites¶
Before starting this step, please make sure you have completed the Installation step.
Configuration¶
You can view and update module settings by navigating to Stores > Configuration > Aurora Extensions > Simple Redirects.
Under General Settings, set Enable Simple Redirects to Yes.
Next Steps¶
After completing the above steps, you will now be able to create URL redirect rules using Simple Redirects. We outline how to set up atomic and composite rules in the Rules guide.


Waffle supports the following OpenGL platforms.
Waffle supports creating and managing contexts from the API's below in a platform-independent manner. Of course, the set of supported API's, and the available contexts that can be created for each, are dependent on the native OpenGL platform. For details on the relationship among native system, OpenGL API, and context creation, see the manual page for waffle_config(3).
For selected platforms (currently only Linux), Waffle allows clients to access the backing native objects of each Waffle object. For example, if you create a waffle_window on the X/EGL platform, then you can retrieve the Xlib Display, Xlib Window, EGLDisplay, and EGLSurface. Here is a small example for X/EGL:
// Assume we've initialized the Waffle with X/EGL. struct waffle_window *window = waffle_window_create(...); struct waffle_x11_egl_window *n_window = waffle_window_get_native(window)->x11_egl; Display *xlib_dpy = n_window->display.xlib_display; EGLDisplay *egl_dpy = n_window->display.egl_display; Window xlib_window = n_window->xlib_window; EGLSurface egl_surface = n_window->egl_surface;
This feature allows clients to implement behvaior, such as input and window manager hints, that is outside of Waffle's scope. Piglit currently uses this feature to implement input for X windows.
In the future, Waffle will also support the inverse direction. It will allow clients to create Waffle objects from pre-existing native objects.


Free 15C RPN Scientific Calculator
Home
About
Links
Source
Here are some links to additional resources about the HP-15C calculator.
HP-15C page at The Museum of HP Calculators
HP-10C series at Wikipedia
(includes the HP-15c)
Petition to Bring Back the HP-15C
Swiss Micros DM-15
- new hardware clone of original HP-15C


Orthocoronavirinae SARS-CoV-2
Résumé
— Hello! I’m a skilled SARS Virus with less than year of experience in human annihilation, disease spreading, and quarantine implementing. I do like to harm people, make them cough hard and intense, so be annoyed by overheating and isolating. I'm fast spreading one,- transmitting through the air and liquid drops way.
*I feel like i'm the most important event, at least for last 100 years for sure. This map says a lot about my popularity all over the world.
Experience in Ukraine
-
4th May 2020
The Ukrainian government extended the quarantine until 22 May, however, a number of restrictions will be lifted on 11 May.
-
21st April 2020
It was reported that the Ministry plans to request an extension of the quarantine until May 12, albeit with some exceptions, such as opening libraries and museums. A day later, the government extended the quarantine measures until May 11; all measures remain in place, with the exception of granting access to public transport to potential blood donors.
-
28th Jan 2020
At 10:00, the Ministry announced that 93 more cases had been confirmed in Ukraine in the previous 24 hours, bringing the total to 311 confirmed cases. Three more people had died, bringing the total to eight. Another person had recovered, bringing the total to five (four adults and one child). There were reported cases in all parts of Ukraine, except Kirovohrad Oblast.
-
27th March 2020
At 10:00, the Ministry announced that 62 more cases had been confirmed in Ukraine in the previous 24 hours, bringing the total to 218 confirmed cases. Three more patients from Chernivtsi had recovered from the disease. This brought up to four the number of recovered people: three adults and a child. Repeated laboratory tests showed no trace of the virus, and another polymerase chain reaction (PCR) test had shown a negative reaction twice in a row.
-
26th March 2020
At 10:00, the Ministry of Healthcare stated that 43 new cases had been confirmed in Ukraine during the previous 24 hours, bringing the total to 156 confirmed cases. One person in Ivano-Frankivsk Oblast died of the disease. By the end of 26 March, there were five confirmed cases in Sevastopol, and 9 in the rest of Crimea; over 3,000 people were suspected of having the disease, and nearly 90 were isolated in hospitals in Crimea (including Sevastopol).
-
25th March 2020
At 10:00, the Ministry of Healthcare stated that 29 new cases had been confirmed in Ukraine during the previous 24 hours, bringing the total to 113 confirmed cases. These included the first case in Volyn Oblast, the first 2 cases in Zaporizhia Oblast, two more cases in Kiev, seven more in Kiev Oblast, the first case in Luhansk oblast, the first case in Odessa Oblast, two more cases in Ternopil Oblast, and the 13 new cases in Chernivtsi Oblast that had been reported in the media the previous day. One person in Ternopil Oblast died of the disease. On 25 March, the Government introduced a 30-day emergency regime across Ukraine that is tentatively planned to end on 24 April 2020.
-
24th March 2020
As of 10:00 , 11 new cases had been confirmed in Ukraine during the previous 24 hours, bringing the total to 84 confirmed cases. This was later raised to 97 confirmed cases. The head of the Chernivtsi Oblast state administration, Serhiy Osachuk, said that 13 new cases of the disease had been confirmed in Chernivtsi Oblast. Currently, there were 38 infected people in the Ukrainian part of Bukovina.
-
21st March 2020
According to the Ministry of Health the total confirmed cases in Ukraine was 47. There were either six or seven new cases confirmed in Kiev bringing the total to ten (of these eight had caught the disease abroad). In Donetsk Oblast, the first case of a coronavirus was recorded and an emergency was declared in the oblast. The first patient was confirmed in Lutsk, and in the disputed Crimea. There were 417 people suspected of having coronavirus in the disputed Crimea and Sevastopol at the end of 21 March.
-
20th March 2020
The first case of recovery from COVID-19 was reported for a man in Chernivtsi who was the first infected person in the country. Same day, 15 new positive tests of COVID-19 were confirmed across Ukraine: Chernivtsi Oblast (10 additional cases), Lviv Oblast (59-years doctor who had come back from Germany), Ivano-Frankivsk Oblast (1 case), Kharkiv Oblast (first case), Kiev Oblast (1 case), Ternopil Oblast (first case). It increased the total number of COVID-19 cases in Ukraine to 41. (The case from Kharkiv Oblast, was a woman who had been diagnosed in Kiev, and was being treated in Kiev, and on 21 March was transferred from the statistics for Kharkiv to those for Kiev.)
-
19th March 2020
The 3rd case was confirmed in Kiev for person who had come back from Switzerland, and the second one in Zhytomyr Oblast for a 56-year-old man from Zhytomyr who had returned from Austria. The same day, the first cases were reported in Ivano-Frankivsk Oblast and Dnipropetrovsk Oblast, also 5 new cases were reported in Chernivtsi Oblast increasing the total number of infected in Ukraine to 26.
-
6th Apr 2020
Wearing a face mask in public places was made obligatory in Ukraine
-
27th Jan 2020
Two more SARS-CoV-2 cases were confirmed in Ukraine. The diagnosis was confirmed for a man in Chernivtsi Oblast, whose wife had recently came from Italy, and for an elderly woman in Zhytomyr Oblast, who had returned from Poland on 1 March. The 71-year-old woman from Radomyshl, Zhytomyr Oblast, died on 13 March, becoming the first fatal case in the country.
-
3rd Mar 2020
Ukraine announced its first confirmed SARS-CoV-2 case, a man who had travelled from Italy to Romania by plane and then arrived in Ukraine by car.
-
24th Feb 2020
Boryspil International Airport and Kiev International Airport were supposed to implement thermal screening procedures for travellers from Italy, but the staff were either underequipped with thermal cameras or ignored the protocol.
-
4th Feb 2020
SkyUp, a Ukrainian low-cost charter airline, announced that it had suspended flights to Sanya, Hainan, until March.
-
27th Jan 2020
Relocated to Ukraine. SkyUp, a Ukrainian low-cost charter airline, announced that it had suspended flights to Sanya, Hainan, until March.
Languages
Skills ⚗
Character 🧬
Likes 😍
Dislikes🧼
Wants🥺
Developing 💪
-
Incubation periodThis is when the virus is establishing itself. Viruses work by getting inside the cells your body is made of and then hijacking them. The incubation period, the time between infection and first symptoms appearing, varies widely, but is five days on average.
-
Mild diseaseThis is all most people will experience. Body aches, sore throat and a headache are all possible, but not guaranteed. These rally the immune system, but also cause the body aches, pain and fever. However, some will develop a more serious form of Covid-19.
-
Severe diseaseIf the disease progresses it will be due to the immune system overreacting to the virus. Inflammation of the lungs is called pneumonia. Some people will need a ventilator to help them breathe. This stage is thought to affect around 14% of people, based on data from China.
-
Critical diseaseIt is estimated around 6% of cases become critically ill.By this point the body is starting to fail and there is a real chance of death. The problem is the immune system is now spiralling out of control and causing damage throughout the body. It can lead to septic shock when the blood pressure drops to dangerously low levels and organs stop working properly or fail completely. This is essentially an artificial lung that takes blood out of the body through thick tubes, oxygenates it and pumps it back in. But eventually the damage can reach fatal levels at which organs can no longer keep the body alive.
Articles
A few published, worth attantion:
Dangerzone of COVID-19.
What COVID does to your body


Be a tycoon. Organize local livestock trading events.
By organizing quarterly chicken trading events, I increased chicken-related revenue by 38%!
Gather your partners and friends to buy, sell, and trade livestock. Decide where and when you'll meet. Tell them what kinds of livestock will be on the trading block. It's all up to you!
As a member, you'll be able to RSVP to events organized by your partners, creating lasting relationships that will increase your bottom line.
Create and improve relationships
Increase revenue
Build your empire


LUCKY NUMBERS A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): ** 1/2
In LUCKY NUMBERS, by director Nora Ephron (YOU'VE GOT MAIL), Russ Richards is a local celebrity who has it all, right down to an omelet that a diner has named after him. The television weatherman at a station in Harrisburg, Pennsylvania, he is so popular that everyone wants to take his picture. "Fame, fortune and my own private parking place -- I had it all," he tells us in voice-over.
Well, he did have it all until he made a major investment in snowplows during an unseasonable winter warm spell. Now facing bankruptcy, he has gone from being a cocky guy who loves to ham it up with bad jokes to a petrified worrier who is willing to risk imprisonment to save his lavish lifestyle. He has big plans to be a famous television game show host, so he doesn't want to let a negative net worth get in his way.
Working again with Ephron, as he did in the sappy MICHAEL, John Travolta appears this time as Russ, a lovable doofus without any hint of wings.  In fact, the warm weather seems to have fried everyone's brains. A few bright characters would have made for a nice contrast.
Tim Roth, as Russ's nefarious criminal friend, is significantly underutilized. Great at playing bright but explosively dangerous characters, Roth is given almost nothing to do other than chop vegetables in the kitchen of a sleazy nightclub. Any action is delegated to a hit man whom he has on speed dial.
As the Vanna White of the Pennsylvania Lottery, "the lotto ball girl," Lisa Kudrow is Crystal Latroy. Wearing tight-fitting, sequined dresses, slit way up the side, Crystal is syrupy sweet on camera and foul-mouthed tough off camera. In short, Kudrow plays Kudrow but as a slightly darker version of her usual ditzy blonde character. The comedic jousting between Travolta and Kudrow make for some of the movie's most entertaining moments.
The heart of the story is a big scam to rig the lottery. Precisely how the money is to be divided up becomes the picture's longest running joke. Documentarian Michael Moore (ROGER & ME) gets a nice small role as Crystal's asthmatic cousin, who is paid to redeem the winning ticket.
The problem with LUCKY NUMBERS is that the audience's lucky numbers don't come up nearly often as they should. Many scenes are inspired, but most just drag on without any comedic payoff. There are so many minor characters and subplots that you want to take a pair of scissors to the print and cut some of the them out. An overgrown bush of a picture, it is in bad need of pruning to let the best flowers have the light to bloom.
The best moments are silly fun, but there just aren't enough of them. When you go to your local multiplex's box office, pick another number and wait for video on this one.
LUCKY NUMBERS runs 1:40. It is rated R for language, sexuality, some drug use and brief violence and would be acceptable for most teenagers.
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--- title: What about tree models?...Part I author: Cristóbal Alcázar date: '2017-12-26' draft: true slug: what-about-tree-models categories: [R, ML] tags: [ML, AI, tree] comments: yes showcomments: yes showpagemeta: yes ---
\(\newcommand{\R}{\mathbb{R}}\)
This is the first post of a trilogy about tree based models. The goal is to unlock these kind of models and apply in a practical study case.
The idea is not to reinvent the wheel so you find many references to “An Introduction to Statistical Learning” (ISLR 2015) book, specifically the chapter 8.
A simple tree can be built using two things, at least if we ignore the details, partition and prediction constants. Yes, that is all we need.
We want to learn a function from data that maps a d-euclidean predictor space (\(X \in \R^d\)) to a response variable \(Y\).
\[f:\R \rightarrow Y\] For a simple tree this function \(f\) could take the following form:
\[f(x) = \sum_{m = 1}^{m}c_mI(x \in R_m)\]
The partition gives \(M\) different regions,
For each region we have a prediction constant \(c_m\) associated to it. This is computed based on the training observations that belong to the region \(R_m\),
So to predict just we need to follow the rules imposed by the partitions. Then we predict for a new observation the value of the constant \(c_m\) that belong to the region defined by the rules.
If we talking about a regression tree, \(c_m\) will be the mean of the training observations of the region \(R_m\),
If we talking about a classification tree, \(c_m\) will be the class of the majority in the training observations of the region \(R_m\).
Now we modify a little bit the baseball example of chapter 8 page 304 (ISLR 2015) to put these pieces in order. We focus on the salary of baseball players (\(Y\)) but instead of treat this variable as a continuos variable like in the book we discretize in quintiles. We can look how the salary quintiles of baseball player behave with respect years of experience (\(X_1\)) and the number of hit that made the player the last year (\(X_2\)).
## Hits Years Salary2 Salary
## -Alan Ashby 81 14 40-60 475.0
## -Alvin Davis 130 3 40-60 480.0
## -Andre Dawson 141 11 40-60 500.0
## -Andres Galarraga 87 2 0-20 91.5
## -Alfredo Griffin 169 11 60-80 750.0
## -Al Newman 37 2 0-20 70.0
We can notice that players which belong to higher quintiles of salary predominant above the 5 years of experience (approximately)
In the new created region to the right of the vertical line, whether we focus on the “N° of Hits Last Year” variable, we could said that roughly above the 100 hits predominant player with higher quintiles of salary.
Therefore 3 regions were derived from this “manually” data partition process. First in function of Years of Experience and then in N° of Hits Last Year variables.
Using the two magic ingredients previously mentioned (partitions and prediction constants) we built this simple tree.
The split points in the above plot are more accurate of those previously mentioned (5 and 100). But before continuing in how to connect partitions and split points (or cut points) is useful define some terms:
The split points in the plot, which are the points that divide the predictor space in two regions, are called internal nodes. In the plot these are:
Leaves or terminal nodes are called to the regions at the end of each branch of the tree. In the plot these are:
The algorithm used to partition the data space is known as recursive binary splitting. This algorithm work as follow:
df <- ISLR::Hitters[, c("Salary", "Years", "Hits")]
row.names(df) <- NULL
df$Salary <- log(df$Salary)
# remove the observation with missing values in the response variable
df <- df[!is.na(df$Salary), ]
x <- df$Years
y <- df$Salary
cut_points <- function(x) {
# Input: a vector with the values of a predictor variable
# Return the cut points to search the space for the optimal
# cut point, the one that minimize the RSS of the two regions
to_s <- sort(x)
to_s <- unique(to_s)
s <- vector("double", length(to_s) - 1)
i <- 1
while (i < length(to_s)) {
s[i] <- (to_s[i + 1] + to_s[i]) / 2
i <- i + 1
}
s
}
find_split <- function(y, x, s) {
#
#
#
output <- vector("double", length(s))
for (i in 1:length(s)) {
half_plane <- x > s[i]
yhat1 <- mean(y[half_plane])
yhat2 <- mean(y[!half_plane])
e1 <- y[half_plane] - yhat1
e2 <- y[!half_plane] - yhat2
RSS1 <- sum(e1 ^ 2)
RSS2 <- sum(e2 ^ 2)
RSST <- RSS1 + RSS2
output[i] <- RSST
names(output)[i] <- s[i]
}
output
}
# usage
output <- find_split(y, x, cut_points(x))
p <- data.frame(x = as.double(names(output)), y = output,
stringsAsFactors = FALSE)
minimum <- output[which.min(output)]
min_point <- data.frame(x = as.double(names(minimum)), y = minimum,
stringsAsFactors = FALSE)
ggplot(data = p, aes(x = x, y = y)) +
geom_point(data = min_point, aes(x, y), colour = "dark red", size = 3) +
geom_line(colour = "dark red") +
annotate("text", x = min_point$x + 2, y = min_point$y + 2, label = "4.5 años") +
xlab("Years") +
ylab("loss function") +
ggtitle("Puntos de corte para la variable año") +
theme_minimal()
Para cada observación que caiga en la región \(R_j\) realizamos la predicción de que dicha observación pertenece a la clase más comun en \(\mathbf{R_j}\)
Sin embargo, no se puede utilizar la suma de los residuos al cuadrado (SRC) como criterio de separación binaria.
Criterios preferibles para la separación binaria:
\[G = \sum_{k = 1}^{K}\widehat{p}_{mk}\;(1 - \widehat{p}_{mk})\]
\[D = -\sum_{k = 1}^{K}\widehat{p}_{mk}\;\log\widehat{p}_{mk}\] Los dos criterios anteriores serán cercanos a 0 sí \(\widehat{p}_{mk}\) toma valores cercanos a 0 o 1. Por lo qué los dos criterios tomaran valores pequeños sí el nodo \(m\) es puro (predominio de una clase).
Concepto que queda más claro si graficamos la función de entropía.
# función de entropia (Claude Shannon / Teoría de la información)
entropy <- function(p) {
-p * log2(p) - (1- p) * log2((1 - p))
}
# crear un vector con una secuencia de proporciones, i.e., 0, 0.01, etc
p <- seq(0, 1, by = .01)
# crear data frame con input - output
df <- data.frame(proporcion = p, entropia = entropy(p))
head(df)
## proporcion entropia
## 1 0.00 NaN
## 2 0.01 0.08079314
## 3 0.02 0.14144054
## 4 0.03 0.19439186
## 5 0.04 0.24229219
## 6 0.05 0.28639696
ggplot(df, aes(x = proporcion, y = entropia)) +
geom_line() +
xlab("P(X)") +
ylab("H(X)") +
theme_minimal()
3 approaches might be used when prunning the tree: CER, GI and H
Gini index or the cross-entropy are typically used to evaluate the quality of a particular split (more sensitive to node purity that is the classification error rate)
classification error rate is preferable if prediction accuracy of the final pruned tree is the goal


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1. Parties
1.1. This agreement is between you ( ‘You’ or ‘Your’ in this agreement) and Atomic Company (‘Atomic’ in this agreement). Atomic is a Blockchain Platform which consists of a set of desktop applications and website atomicwallet.io. You acknowledge that any use of Atomic is subject to these Terms of Service.
1.2. It's your own responsibility to read the Terms of Service carefully before you start to use Atomic.
2. Definitions and Services offered
Atomic is an innovative cryptocurrency infrastructure, which consists of:
2.1. Atomic Desktop Light Wallet Applications
Atomic has created means for users to access and transfer ownership of virtual currency tokens (such as bitcoins) under the name "Atomic Wallet...". By entering into this agreement You will receive a license to use any of the Atomic Desktop Light Wallet Applications. You should only use the Atomic Desktop Light Wallet Application if you are familiar with virtual currencies. We highly recommend learning the basics of the specific virtual currency that You plan on using the Atomic Desktop Light Wallet Application before running the application.
2.1.1. You Own Your Private Keys
Atomic does not store user’s private keys, backup phrases or passwords ("Private Information"). It is very important that You backup Private Information. If You lose Your Private Information then it will not be possible for Atomic to recover it for You and You may lose access to Your virtual currency tokens. If You do not understand the above paragraph then we strictly recommend that You learn more about virtual currencies before using the Atomic Desktop Light Wallet Application.
2.1.2. Transactions
The only authentic record of virtual currency transactions is the applicable virtual currency blockchain. The Atomic Desktop Light Wallet Application provides functionality that allows You to send virtual currency transfer instructions. Atomic does not guarantee that transactions You perform using the Atomic Desktop Light Wallet Application shall be stored in any virtual currency blockchain. You must ensure that Your transactions conform to the applicable rules of the virtual currency software. There may be transaction fees (e.g. mining fees) associated with Your virtual currency transactions that are required by the virtual currency system You engage with. Atomic shall not be responsible for any losses You incur due to transaction fees or losses that occur due to incorrectly set transaction fees (i.e. too low or high). Atomic does not have access to Your transactions (or anyone else's).
2.1.3. No Control Over Blockchains
Atomic is not the creator of and does not have any control over, any of the virtual currencies that the Atomic Mobile Light Wallet Application allows You to use.
2.1.4. Third Party Integrations
The Atomic Desktop Light Wallet Application contains libraries developed by third parties. Atomic may provide third-party libraries to You as part of the Atomic Desktop Light Wallet Application solution but shall not be considered to be the owner or licensor of the third party libraries. Please refer to and respect the relevant third party licenses:
Built-in Exchange is supported by Changelly, ShapeShift and ChangeNOW. The original terms of use is available at https://changelly.com/, https://shapeshift.io/, https://changenow.io/.
Built-in Fixed Rate Exchange is supported by ShapeShift. The original terms of use is available at https://shapeshift.io/
All cryptocurrency rates available in the application are supported by https://coinmarketcap.com/
User's balance and actual transaction history are supported by each cryptocurrency block explorers (ex. https://btgexplorer.com/, https://etherscan.io/ and etc.)
Although the Atomic Desktop Light Wallet Application makes it easy to engage with the integrated third parties, Atomic shall not be responsible for any consequences stemming from Your use of third-party integrated services. If You require assistance with a third-party integration then You should contact the third-party.
2.2. No Control Over Blockchains
Atomic is not the creator of and does not have any control over, any of the virtual currencies that the Atomic Exchange allows You to use.
2.3. Atomic Cryptocurrency Purchase
Atomic is planning to release cryptocurrency purchase soon. Atomic cryptocurrency purchase will be provided by authorized Atomic partner.
3. User Obligations
You shall:
be of the age of majority in Your local jurisdiction; and,
be responsible for Your own virtual currency tokens; and,
backup/write down Your "private key" and keep it private; and,
carefully guard Your private keys in case of usage Atomic Desktop Light Wallet Applications and,
ensure that Your device(s) are fully updated and do not contain viruses, malware or otherwise malicious software.
You shall not:
deposit virtual currency tokens into addresses for tokens that are not supported by the Atomic Desktop Light Wallet Application; or,
use Atomic in a manner likely to infer with other Atomic users or virtual currency nodes (e.g. excessive API calls or network spam); or,
use Atomic in a manner contrary to Your local laws.
4. Limited Intellectual Property License
This agreement licenses Atomic services to You on a personal, non-exclusive, royalty-free, non-transferable, worldwide-basis, for the purpose of managing virtual currencies. You are not permitted to re-distribute any of Atomic services, modify any code or use any Atomic content, including images and text, as part of any other software or project of any kind. For partnership inquiries please contact us through<EMAIL_ADDRESS>5. Specifically Disclaimed Risks
Using virtual currency software necessarily entails many risks. Atomic specifically disclaims and shall have no liability to You for the following risks:
operating system failures (mobile or desktop); and,
interactions between Your hardware, software, and the Atomic; and,
cloud backup software (e.g. certain Android distributions) may upload your private information to third party services; and,
malware, viruses or other malicious software on Your device that is able to take control of or interfere with Atomic; and,
communication delays between Your Atomic Desktop Light Wallet Application and a node or relay service for a virtual currency (and vice versa); and,
failure to achieve a certain market value/price for a virtual currency token, whether through a third-party service or any other kind of transaction; and, theft of virtual currency tokens.
6. No Warranty
Atomic is provided to You at no cost, "as-is " and without any warranty whatsoever, to the maximum extent permissible by law. Without limiting the generality of the foregoing, Atomic does not warrant that Atomic is fit for Your purpose, even if You have previously provided notice of Your intended purpose, and does not warrant that Atomic will operate in a bug-free manner.
7. Limitation of Liability
Atomic's liability to You shall not, under any circumstances, exceed the greater of:
the US dollar value of 0.1 bitcoins;
or USD 50.
8. Indemnity
You agree to indemnify Atomic against any claims, damages, losses or legal fees incurred due to Your use (or misuse) of Atomic.
9. Non-Waiver
No action or inaction on the part of Atomic shall be considered a waiver of any right or obligation by Atomic.
10. Amendment
This agreement may be amended by Atomic by providing You with 30 days notice of any proposed change. If You do not agree to the amended terms then Your sole remedy shall be to cease using Atomic.
11. Assignment
You may not assign this agreement. Atomic may assign this agreement to 11 days notice.
12. Entire Agreement
This is the entire agreement between the parties and supersedes any other agreement, representations (or misrepresentations),or understanding, however, communicated.


And Yet the Heart Praised
Considered Even Without Reference to Our Belittling Cosmical Background
Impatiently I shook off this folly, and reverted from the inscrutable to the familiar and the concrete. Thrusting aside worship, and fear also and bitterness, I determined to examine more coldly this remarkable “us,” this surprisingly impressive datum, which to ourselves remained basic to the universe, though in relation to the stars it appeared so slight a thing.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Reverted from heart
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Read more
And Yet the Heart Praised
Considered Even Without Reference to Our Belittling Cosmical Background
Impatiently I shook off this folly, and reverted from the inscrutable to the familiar and the concrete. Thrusting aside worship, and fear also and bitterness, I determined to examine more coldly this remarkable “us,” this surprisingly impressive datum, which to ourselves remained basic to the universe, though in relation to the stars it appeared so slight a thing.
 Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Read more
And Yet the Heart Praised
Considered Even Without Reference to Our Belittling Cosmical Background
We were after all insignificant, perhaps ridiculous. We were such a commonplace occurrence, so trite, so respectable. We were just a married couple, making shift to live together without undue strain. Marriage in our time was suspect. And ours, with its trivial romantic origin, was doubly suspect.
Read more
And Yet the Heart Praised
Considered Even Without Reference to Our Belittling Cosmical Background
Impatiently I shook off this folly, and reverted from the inscrutable to the familiar and the concrete. Thrusting aside worship, and fear also and bitterness, I determined to examine more coldly this remarkable “us,” this surprisingly impressive datum, which to ourselves remained basic to the universe, though in relation to the stars it appeared so slight a thing.
Read more


The fashion and textiles sector covers the supply chain from the processing of raw materials to product manufacture, to wholesale and trading activities and after-sales servicing of products.
This apprenticeship trains you in technical, practical skills and you’ll specialise in one of the below:
-
apparel
-
textiles
-
footwear
-
leather goods
-
saddlery
Training opportunities
The fashion and textiles sector has undergone enormous transformation in the UK. Due to the increasingly competitive global market, UK businesses are focusing on niche activities including:
-
new product development
-
brand creation and development
-
creative design
-
low cost, small scale manufacturing of high added value and difficult to make products
Types of apprenticeships
There are 2 types of fashion and textiles apprenticeships.
You could train in roles like:
-
textile operative
-
quality control inspector
-
sewing machinist
-
linker
-
knitter
-
product tester
-
cloth cutter
-
sewing machinist
-
tape sealer
-
hand presser
-
quality control inspector
-
clothing presser
-
dressmaker
-
clothing sewing machinist
-
quality control inspector
-
leather craftworker
-
retail/service operative
-
cutter
-
pattern cutter
-
product tester
-
quality control inspector
-
leather craftworker
-
footwear manufacturing operative
-
product tester
-
retail/service operative
-
Society of Master Saddlers (SMS) registered trainee saddler
-
clothing presser
-
dry cleaning worker
-
laundry worker
-
textiles care service worker
-
leather tanner
-
leather trimmer/ finisher
Advanced level apprenticeship
You could train in roles like:
-
team leader / supervisor
-
textile dyeing technician
-
textile technologist
-
analytical textile technologist
-
knitting technician
-
quality supervisor (spinning mill)
-
textile colour technologist
-
textile designer
-
textile machinery technician
-
team leader / supervisor
-
dressmaker
-
bespoke pattern cutter (manual / CAD)
-
garment technologist
-
production pattern cutter (manual / CAD)
-
sample machinist
-
clothing alteration hand
-
pattern grader (manual / CAD)
-
leathergoods designer
-
pattern cutter (manual / CAD)
-
sample machinist
-
footwear designer
-
shoe repairer
-
bespoke footwear technician
-
qualified saddler
-
Society of Master Saddlers (SMS) qualified saddler
-
Society of Master Saddlers (SMS) qualified harness maker
-
pattern cutter (manual / CAD)
-
technical salesperson (tailoring)
-
handcraft tailor
-
tannery process supervisor
-
leather technician / technologist
Apply for a fashion and textiles apprenticeship
You can become an apprentice in England if you’re:
-
16 or over
-
eligible to work in England
-
not in full-time education


To what evaluates typeof a
and typeof b
in the following snippet:
function foo() {
let a = b = 0;
a++;
return a;
}
foo();
typeof a; // => ???
typeof b; // => ???
Let’s look at the line 2: let a = b = 0
. This statement declares a local variable a
. However, it does declare a global variable b
.
No variable b
is declared neither in the foo()
scope or global scope. So JavaScript interprets b = 0
expression as window.b = 0
.
In other words, b
is a global variable created accidentally.
In a browser, the above code snippet is equivalent to:
function foo() {
let a;
window.b = 0;
a = window.b;
a++;
return a;
}
foo();
typeof a; // => 'undefined'
typeof window.b; // => 'number'
typeof a
is 'undefined'
. The variable a
exists within foo()
scope and not available in the outside scope.
Because b
is a global variable with the value 0
, the typeof b
evaluates to 'number'
.
Below are some other ways of accidental global variables.
function foo(count) {
for (i = 0; i < count; i++) {
//...
}
//...
}
function foo() {
i = 0;
}


Our paper investigating how pathogen richness, the cost of expressing MHC variants, and pathogens' mutation rate shape the individual MHC copy number is out!
17 May 2019MHC genes, which code for proteins responsible for presenting pathogen-derived antigens to the host immune system, show huge copy-number variation both between and within species. However, the evolutionary forces driving this variation are not understood very well. We used computer simulations to investigate whether the evolution of the number of MHC variants in the genome can be shaped by the number of pathogen species the host population encounters (pathogen richness).
The majority of MHC research has focused on amino acid sequence polymorphism. However, an aspect of MHC diversity that has received less attention is the number of MHC variants carried by individuals. Expressing many MHC molecules could ensure that an individual could present antigens of most pathogen species encountered, but this comes at a cost, such as enhanced negative selection on lymphocytes leading to holes in T-cell receptor repertoire. The observed number of MHC variants carried by individuals is typically much lower than the number found in the population. For example, in humans, there are 6–7 classical MHC loci, allowing for up to 12–14 different variants in a fully heterozygous individual. In contrast, the number of currently identified MHC alleles summed across those loci in the human population exceeds 17,000 (IPD-IMGT/HLA Database, Release 3.30.0).
We were using computer simulations based on a framework that has previously been shown to be effective in recovering some of the essential features of MHC evolution, such as high polymorphism, frequency-dependent selection, heterozygote advantage and positive selection. Our model simulated interactions of MHC molecules and antigens produced by pathogens by matching strings of bits, which can mutate both in hosts and in parasites.
Our simulations showed that evolution of the number of MHC genes in the genome is driven by a complex interaction between three factors we explored: pathogen richness, the intrinsic cost of expressing additional MHC variants, and pathogen mutation rate. In contrast to verbal arguments, our results indicate that pathogen richness does not always select for MHC gene family expansion.
Fig.1. Relationship between the number of pathogen species and the average numbers of unique MHC variants present in a genome of a host under two penalty factors (α = 0.02; 0.08 –panels) and two pathogen mutation rates.
The paper was published in the PLOS Computational Biology.
Cite:
The code of this project can be found at my GitHub repository.


Welcome to the Super Galactic Age Calculator!
Enter your name:
Enter your age:
Mercury
Venus
Mars
Jupiter


Tor clients connect to many intermediate nodes before connecting to the intended destination, but there are two types of nodes the client can connect to first:
This widget displays the approximate daily number of connections to each of these first-node types for a specific country over the last {{ windowLength }} days.


Sorry, no results matched your criteria
Sorry, no results matched your criteria
Results for {{searchTerm}} in actions
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Results for {{searchTerm}} in users
{{user.state}}
Sorry, no results matched your criteria
Results for {{searchTerm}} in Organizations
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Results for {{searchTerm}} in Events
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Results for {{searchTerm}} in Representatives
US Senator for {{rep.state}}
US Representative for {{rep.state}}


Software Engineer in Machine Learning at Facebook
B.Tech (ECE) from Delhi Technological University(formerly DCE)
I am interested in pushing the current boundary of knowledge in
Machine Learning, Computer Vision and Data Science.
Updates !!
August 2017: Our "Robocodes" paper at CVPR 2017 (paper), (code)
August 2016: I am working as Software Engineer at Facebook.
February 2016: Paper selected in ICCTICT 2016. Now I am working with DataCulture as M.L. Intern to bring predictive intelligence to supply chain.
December 2015: Started working as Data Science Intern at Right Relevance.
Augsut 2015: Wonderful summer spent in RI at Carnegie Mellon University.
January 2015: Awesome winter school, we got Best Project Award.
November 2014: Selected for CMU IPTSE Winter School 2014.
October 2014: One paper selected in ICVGIP-2014, another in ACCV-2014.
Talks & Seminars
March 2016: Paper presentation in ICCTICT 2016 on "FPGA Accelerated Abandoned Object Detection”. (slides)
August 2015: Delivered a talk on my research on "Scene Understanding for Robots using
RGB-Depth Information”, Robotics Institute, CMU. (slides)
I have been involved with research since freshman year of my college life.
Some awesome people with whom I have worked
Sebastian Scherer, Daniel Maturana - Machine Learning
Prof. Bhiksha Raj, Pulkit Agrawal - Computer Vision & Pattern Recognition
Saurabh Gupta, Manjeet Hooda - FPGA Design & Synthesis
| As Data Scientist at DataCulture Inc. developed predictive intelligent models for logistics in supply chain. Models that allocates shipper for a particular order, predicts various delays in delivering it, estimating pickup date of order by shipper, predicting returns on orders. | Comic Polyglot-A system that identifies the text regions in comic strips like Manga and subsequently translates it's Japanese text into English using an OCR engine while maintaining the syntax. It is aimed to help English-speaking manga comic readers. [project page] [poster] [best project award] | Scene understanding through semantic labeling. The work exploits the geocentric encoding of a depth image and uses a multi-scale deep convolutional neural network architecture that captures high and low-level features of a scene to generate rich semantic labels. [report] [bib] |
| Aaravya Lunabot - DTU's official entry into NASA Lunabotics Mining Competition 2013. The challenge required student teams to design and build a mining robot that can traverse the simulated lunar chaotic terrain, excavate lunar regolith and deposit the regolith into a collector bin within ten minutes. [paper] [outreach project report] [some photos] | Designed a standalone system that uses a novel static background modeling algorithm and identifies any object lying abandoned for a given period of time. Implemented on Xilinx FPGA ZYNQ-ZC702 board. VxWorks used as RTOS to manage the real time processes. [ICCTICT-2016] | HistExtract, a system that extracts highly correlated text from historical inscription images. Work featured in ”Digital Heritage” project sponsored by Department of Science & Technology, Govt. of India. [ICVGIP-2014] [bib] [ACCV-2014 workshops] [bib] |


MESH SDK Tag Data Viewer.
1. Input exported JSON tag data.
2. Decord and View it.
- Gorgeous Version.
- Simple Version.


List all your watchers, stargazers, contributors and whoever that got involved with your GitHub projects


"PPAP (Pen-Pineapple-Apple-Pen)" is a single by Pikotaro, a fictional singer-songwriter created and portrayed by Japanese comedian Daimaou Kosaka. It was released as a music video on YouTube on 25 August 2016, and has since become a viral video, generating over 70 million views, spawning parodies, and being hailed as the new "Gangnam Style". The single itself reached number 2 on the Billboard Japan Hot 100 chart and became the shortest single to chart in the Billboard Hot 100.
"PPAP", alongside three other works by Pikotaro, was released to digital storefronts through Avex Music Creative on 7 October 2016. An instrumental version of the song was made available on 12 October 2016.
The song is written in the key of C# minor with a common time tempo of 136 beats per minute. Pikotaro's vocals span from F♯3 to C♯5 in the song.
The song originated as a music video released on YouTube on 25 August 2016. In the video, Pikotaro, dressed in an animal print costume, dances around, and then sings English lyrics "I have a pen. I have an apple. Apple pen." while making the gestures of holding the related items and pushing them together. The video's expense was about 100,000 yen. It accumulated about 1 million hits in its first month of play.
On 27 September 2016, Canadian pop singer Justin Bieber shared the video on Twitter, captioning it as his "favorite video on the Internet". The video has since gone viral, averaging over 1.5 million hits a day, and being touted as the new "Gangnam Style" by the media. It has spawned many videos from people doing their own versions. On 26 September, Pikotaro released a video on how to do the dance and the gestures. On 27 October, Pikotaro posted a "long version" music video of the song.
Scariest clown yet? Well, we've just hit a so called ‘killer clown’
As the ‘killer clown’ craze spreads across Britain, many witnesses have been documenting and sharing their encounters on social media.
"We were driving around at night with a group of friends who had no idea what was going to happen.  Once the clown is down he proceeds to 'run him over'. But that wasn't enough to stop him, he comes running back at the truck with his broom and hops on the back of, while everyone who isn't in on it is screaming in fear." - Michael Sullivan
The unsettling craze, which began in the United States before spreading to other countries, has led to a spike in clown-related calls to police forces in the UK.
In response, police have warned that pranksters or criminals using the costumes to scare innocent members of the public could face arrest.
Duterte's war on drugs
What is happening in this country?
Samsudin Dimaukom, the mayor of a southern Philippines town, was watching television one Sunday after midnight when he was startled to hear the country’s new President call out his name.
It was no honor. President Duterte was reading a list of more than 150 officials he said were involved in the illegal drug trade. He ordered Dimaukom and the others to turn themselves in within 24 hours or be hunted down.
"We were really surprised when the President came out to announce it,” Dimaukom, mayor of Datu Saudi Ampatuan, said by e-mail. “Not once were we involved in drugs. In fact, we were fighting drugs. I support the President’s drug war."

Last week, in what seemed a new phase, he took on judges and police generals, military officials, more than 50 mayors and local officials, and three men said to be current or former members of Congress. He stripped them of their weapons permits and, in some cases, their government security details, potentially leaving them vulnerable to vigilantes.


function reduce(accumulator = initial, variable IN list | expression)
To run an expression against individual elements of a list, and store the result of the expression in an accumulator,
you can use reduce(). It will go through a list, run an expression on every element, storing the partial result in the accumulator.
It works like the fold or reduce method in functional languages such as Lisp and Scala.
Arguments:
MATCH p=(a)-->(b)-->(c) WHERE a.name='Alice' AND b.name='Bob' AND c.name='Daniel' RETURN reduce(totalAge = 0, n IN nodes(p)| totalAge + n.age) AS reduction


Fixed width
For fixed width, the PV containing div needs to have a set width.
Dynamic size
Without set width, a DIV elemebt takes 100% of width of the parent element (window in this case).
Because ProtVista plugin is listening to its embedded iframe window resize event, it scales accordingly.
Dynamic size with minimal width
It is possible to set a minimal width which the ProtVista plugin can take (600px here).


--- layout: post title: 'Small screens, big lessons: a' date: 2004-12-13 00:00:00 category: mobile ---
Small screens, big lessons: a series of resources regarding design for mobile.


Representing Password Reuse in BloodHound
Creating Conditional Statements with Cypher
https://github.com/porterhau5/BloodHound
https://github.com/porterhau5/BloodHound-Owned


No clear majority, far-right on the rise in Spain with 20% of votes counted
MADRID (Reuters) - Neither the right nor the left was likely to win a clear majority in Spain’s repeat parliamentary election on Sunday, according to an early tally of results released by the interior ministry with just over 20% of votes counted.
Further political stalemate appeared likely as votes scattered between mainstream and outlier parties.
The early count does not necessarily reflect the final outcome as it comes primarily from small towns.
As this stage, the far-right Vox emerged as the third most voted party, a huge jump from the last election in April, which then marked the first time a far-right party won seats in Spain in over four decades.
The Socialists of acting prime minister Pedro Sanchez led with about 29%, followed by the conservative People’s Party, pegged at around 20%. Centre-right Ciudadanos were seen winning 5.5%. Far-left Unidas Podemos fetched 10% so far in the election.


We are creating a new kind of mental health care solution - one with greater outcomes for businesses, customers and psychologists
We all have a mental health problem
Our solution
2017
3.5k
2017
3.5k
2018
100k
2017
3.5k
2018
100k
2019
400k
2017
3.5k
2018
100k
2019
400k
2020
2.5M
2017
3.5k
2018
100k
2019
400k
2020
2.5M
2021
10M
Address
Lifekeys AS
Lars Hilles gate 30
5008, Bergen
Contact
Gudmundur Ebenezer
+47 451 84 433
<EMAIL_ADDRESS>The telehealth market is immature and volatile - if it does not develop, develops more slowly than we expect, encounters negative publicity or if our solution does not drive member engagement, the growth of our business will be harmed.


About NUS Module Mappings
Every year, many NUS students apply for the Student Exchange Programme. However, the process of application is complicated and the information is presented in a PDF file. This makes it extremely tedious, taking a long time to search for the relevant modules that students want to take at their partner universities.
Created as part of our project for Orbital, under NUS School of Computing, NUS Module Mappings is a web application with a database of module mappings to make the searching process for possible module mappings faster and easier via different filtering criteria, and to be able to track and store a list of modules (with their mappings) that the student intends to take on exchange.
Try searching for some module mappings, then save them and view it in the Selected page!


Why is Pair Programming important to DBC?
Despite the popular image of the solitary programmer hunkered down in a basement coding by his or herself, the reality is that most programming is done in pairs. Therefore, it is important that DBC boots learn how to program in pairs so that they can apply their skills in the workforce. In addition, it is necessary to be able to work with others in all facets of life.
What does Pairing mean?
Pairing is a collaborative effort between two or more individuals that flows as a conversation with a designated end goal.
Define Driver and Navigator
The driver is the person on the keyboard actually writing the code, and remains conscious of the direction the code is taking, while the navigator provides that direction.
What was it like pairing for the first time?
We thought the pairing session went well, particularly because we are of similar skill-levels. We also had a similar understanding of what it meant to pair, and what the roles of driver and navigator meant. This made for a painless process that was overall enjoyable.