October 2019 NPD results see Call of Duty: Modern Warfare at #1
Source: Activision
What you need to know
- The October 2019 NPD data has been released
- For this month, Call of Duty: Modern Warfare took the top spot on PlayStation and overall.
- The Nintendo Switch was the bestselling console overall.
- You can grab Call of Duty: Modern Warfare for $60 on Amazon.
Every month, the NPD Group releases information on the top-selling games across all video game platforms in the United States. While it doesn't account for worldwide sales, it does provide a good snapshot of one the largest video game markets. Mat Piscatella, an analyst for NPD, has shared the results for October 2019. For this month, data was tracked from October 6 through November 2, 2019.
Call of Duty: Modern Warfare had a massive launch, taking the #1 spot for the month overall. Obsidian Entertainment's RPG The Outer Worlds also did well, grabbing the #2 spot for the month, while Nintendo exclusive Luigi's Mansion 3 grabbed the #3 spot. Grand Theft Auto V, the game that just won't stop selling, snagged an impressive spot at #14. The smaller PlayStation exclusives Concrete Genie and the MediEvil remake did not sell enough to be on the chart. The Nintendo Switch was, yet again, the bestselling console of the month.
Here are the numbers for the October 2019 NPD results:
- Total: $1.03 billion, down 34% year-over-year from $1.57 billion
- Video games hardware: $182 million, down 41% year-over-year from $307 million
- PC and video games software: $620 million, down 22% year-over-year from $983 million
- Accessories and game cards: $231 million, down 4% year-over-year from $277 million
Here are the October 2019 game sales rankings (based on dollar sales, not units):
- Call of Duty: Modern Warfare 2019
- The Outer Worlds
- Luigi's Mansion 3*
- Madden NFL 20
- NBA 2K20
- Tom Clancy's Ghost Recon: Breakpoint
- WWE 2K20
- FIFA 20
- Borderlands 3
- Ring Fit Adventure
- The Legend of Zelda: Link's Awakening*
- Mario Kart 8*
- Minecraft***
- Grand Theft Auto V
- Mortal Kombat 11
- Overwatch
- Super Smash Bros. Ultimate*
- Code Vein
- Red Dead Redemption II
- The Legend of Zelda: Breath of the Wild*
- *Does not include digital sales
- **Does not include Steam sales
- ***Minecraft digital sales include Xbox One and PlayStation 4, but not other digital sales.
Here are the best-selling games of October 2019 by platform:
PlayStation 4
- Call of Duty: Modern Warfare 2019
- The Outer Worlds
- NBA 2K20
- Madden NFL 20
- Tom Clancy's Ghost Recon: Breakpoint
- WWE 2K20
- FIFA 20
- Borderlands 3
- Mortal Kombat 11
- Grand Theft Auto V
Xbox One
- Call of Duty: Modern Warfare 2019
- Tom Clancy's Ghost Recon: Breakpoint
- Madden NFL 20
- The Outer Worlds
- NBA 2K20
- Borderlands 3
- WWE 2K20
- FIFA 20
- Grand Theft Auto V
- Gears 5
Nintendo Switch
- Luigi's Mansion 3*
- Ring Fit Adventure
- The Legend of Zelda: Link's Awakening*
- Mario Kart 8*
- Super Smash Bros. Ultimate*
- Overwatch
- The Legend of Zelda: Breath of the Wild*
- The Witcher 3: Wild Hunt*
- Super Mario Maker 2*
- New Super Mario Bros. U Deluxe*
Here are the best-selling games of 2019 year-to-date:
- Call of Duty: Modern Warfare 2019
- NBA 2K20
- Madden NFL 20
- Borderlands 3
- Mortal Kombat 11
- Kingdom Hearts III
- Tom Clancy's The Division 2
- Anthem
- Super Smash Bros. Ultimate*
- Grand Theft Auto V
That's all for the breakdown of this month's numbers. For more information, you can consult Mat Piscatella's thread right here. If you'd like details on last month's NPD breakdown, you can find that right here.
Next level combat
Call of Duty: Modern Warfare
Warfare is Modern again
Developed by Infinity Ward, Call of Duty: Modern Warfare takes the concept of modern combat and reapplies it, with familiar characters in unfamiliar situations.

- Best keyboards for PlayStation 4 in 2019
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Neuron Relaxer Beatbox v.1.01
Make something beautiful! :)
Press any key, A to Z, 0 to 9 or spacebar, and turn up speakers
Click F11 and Click anywhere to hide hints
Neuron Relaxer Beatbox v.1.01
Make something beautiful! :)
Press any key, A to Z, 0 to 9 or spacebar, and turn up speakers
Click F11 and Click anywhere to hide hints


{% extends "common/app/base.html" %} {% load static i18n %} {% block "content" %} {% block "css" %} {{ block.super }} {% endblock %} {% block "header_middle" %}
Your username and password didn't match. Please try again.
{% endblocktrans %} {% endif %} {% if next %} {% if user.is_authenticated %}{% blocktrans %} Your account doesn't have access to this page. To proceed, please login with an account that has access. {% endblocktrans %}
{% else %}{% trans "Please login to see this page." %}
{% endif %} {% endif %} {% endblock %}


{{template "header.html" .Header}}
{{template "navbar.html" .}}Passwords can be any mixture of ASCII and Unicode, you can even use emojis. An ASCII only password must be at least 10 characters and a Unicode/Emoji one must be at least 6 characters. You can mix the two. A password cannot be an anagram of your e-mail address or an e-mail address.


| Home | Libraries | People | FAQ | More |
Implementing performant Durability essentially reduces down to answering two questions: (i) how long does it take to restore a consistent state after an unexpected power loss, and (ii) how much of your most recent data are you willing to lose? AFIO has been designed and written as the asynchronous file i/o portability layer for the forthcoming direct filing system graphstore database TripleGit which, like as with ZFS, implements late Durability i.e. you are guaranteed that your writes from some wall clock distance from now can never be lost. As discussing how TripleGit will use AFIO is probably useful to many others, that is what the remainder of this section does.
TripleGit will achieve the Consistent and Isolated parts of being a reliable
database by placing abortable, garbage collectable concurrent writes of
new data into separate files, and pushing the atomicity enforcement into
a very small piece of ordering logic in order to reduce transaction contention
by multiple writers as much as possible. The ordering logic will make use
of an atomic append only intent log which records what the database intends
to do (and generally you want that intent log on as low latency a device
as possible) — and usefully every major filing system supports atomic
appends to a file. If you wish to never lose most recent data, to implement
a transaction one (i) writes one's data to the filing system, (ii) ensure
it has reached non-volatile storage, (iii) appends the knowledge it definitely
is on non-volatile storage to the intent log, and then (iv) ensure one's
append also has reached non-volatile storage. This is presently the only
way to ensure that valuable data definitely is never lost on any filing
system that I know of. The obvious problem is that this method involves
writing all your data with O_SYNC
and using fsync()
on the intent log. This might perform okay with a single writer, but with
multiple writers performance is usually awful, especially on storage incapable
of high queue depths and potentially many hundreds of milliseconds of latency
(e.g. SD Cards). Despite the performance issues, there are many valid use
cases for especially precious data, and TripleGit of course will offer
such a facility, at both the per-graph and per-update levels.
TripleGit's normal persistence strategy is a bit more clever: write all
your data, but keep a hash like a SHA of its contents as you write it[7]. When you write your intent log, atomically append all the
SHAs of the items you just wrote and skip O_DATA
and fsync()
completely. If power gets removed before all the data is written to non-volatile
storage, you can figure out that the database is dirty easily enough, and
you simply parse from the end of the intent log backwards, checking each
item's contents to ensure their SHAs match up, throwing away any transaction
where any file is missing or any file's contents don't match. On a filing
system such as ext4 where data is guaranteed to be sent to non-volatile
storage after one minute[8], and of course so long as you don't mind losing up to one minute's
worth of data, this solution can have much better performance than the
previous solution with lots of simultaneous writers.
The problem though is that while better, performance is still far less
than optimal. Firstly, you have to calculate a whole load of hashes all
the time, and that isn't trivial especially on lower end platforms like
a mobile phone where 25-30 cycles per byte SHA256 performance might be
typical. Secondly, dirty database reconstruction is rather like how ext2
had to call fsck
on boot:
a whole load of time and i/o must be expended to fix up damage in the store,
and while it's running one generally must wait.
What would be really, really useful is if the filing system exposed its internal write ordering constraint implementation to user mode code, so one could say “schedule writing A, B, C and D in any order whenever you get round to it, but you must write all of those before you write any of E, F and G”. Such an ability gives maximum scope to the filing system to reorder and coalesce writes as it sees fit, but still allows database implementations to ensure that a transaction's intent log entry can never appear without all the data it refers to. Such an ability would eliminate the need for expensive dirty database checking and reconstruction, or the need for any journalling infrastructure used to skip the manual integrity checking.
Unfortunately I know of no filing system which makes publicly available such a facility. The closest that I know of is ZFS which internally uses a concept of transaction groups which are, for all intents and purposes, partial whole filing system snapshots issued once every five seconds. Data writes may be reordered into any order within a transaction group, but transaction group commits are strongly tied to the wall clock and are always committed sequentially. Since the addition of the ZFS Write Throttle, the default settings are to accept new writes as fast as RAM can handle, buffering up to thirty wall clock seconds of writes before pacing the acceptance of new write data to match the speed of the non-volatile storage (which may be a ZFS Intent Log (ZIL) device if you're doing synchronous writes). This implies up to thirty seconds of buffered data could be lost, but note that ZFS still guarantees transaction group sequential write order. Therefore, what ZFS is in fact guaranteeing is this: “we may reorder your write by up to five seconds away from the sequence in which you wrote it and other writes surrounding it. Other than that, we guarantee the order in which you write is the order in which that data reaches physical storage.” [9]
What this means is this: on ZFS, TripleGit can turn off all write synchronisation and replace it with a five second delay between writing new data and updating the intent log, and in so doing guaranteeing that the intent log's contents will always refer to data definitely on storage (or rather, close enough that one need not perform a lot of repair work on first use after power loss). One can additionally skip SHA hashing because ZFS guarantees file and metadata will always match and as TripleGit always copy on writes data, either a copy's length matches the intent log's or it doesn't (i.e. the file's length as reported by the filing system really is how much true data it contains), plus the file modified timestamp always reflects the actual last modifed timestamp of the data.
Note that ext3 and ext4 can also guarantee that file and metadata will
always match using the (IOPS expensive) mount option data=journal
,
which can be detected from /proc/mounts
. If combined with the proprietary
Linux call syncfs()
,
one can reasonably emulate ZFS's behaviour, albeit rather inefficiently.
Sadly, most use of TripleGit and Boost.AFIO will be without the luxury of ZFS, so here is a quick table of power loss data safety. Once again, I reiterate that errors and omissions are my fault alone. Any help which can be supplied in filling in the unknowns in this table would be hugely appreciated.
Table 1.2. Power loss safety matrix: What non-trivially reconstructible data can you lose if power is suddenly lost?
|
Metadata no longer matches data[a] |
Newly created file content corrupted |
File data content rewrite corrupted |
Default max seconds of writes reordered
without using |
Default max seconds of writes lost |
|
|---|---|---|---|---|---|
|
FAT32 |
✔ |
✔ |
✔ |
? |
? |
|
ext2 |
✔ |
✔ |
✔ |
5 |
5 |
|
ext3/4 |
✔ |
✔ |
✔ |
5[b] |
30[c] |
|
ext3/4 |
✘ |
✘ |
✔ |
5 |
30 |
|
UFS + soft updates[d] |
✘ |
✘ |
✔ |
30 |
30 |
|
HFS+ |
✘ |
✘ |
✔ |
? |
? |
|
NTFS[e] |
✘ |
✘ |
✔ |
Until idle or write limit |
Until idle or write limit |
|
ext3/4 |
✘ |
✘ |
✘ |
5 |
5 |
|
BTRFS[f] |
✘ |
✘ |
✘ |
30 |
30 |
|
ZFS |
✘ |
✘ |
✘ |
5 |
30 |
|
[a] This doesn't mean that metadata is corrupted, this means for example that a file is said to have 100Kb but is in fact partially garbage because metadata was updated before data was fully changed on storage. [b]
This is the [c]
This is the |
[7] TripleGit actually uses a different, much faster 256 bit hash by default, but one can force use of SHA256 on a per-graph basis.
[8]
This is the default, and it may be changed by a system e.g. I have seen
thirty minutes set for laptops. Note that the Linux-specific call syncfs()
lets one artifically schedule whole filing system flushes.


The Web starts with a user who, through a browser, accesses the internet. The internet is the largest network of computers in the world. Computers that host the files that make up the web are called servers. HTTP is the main protocol of the web.
A Browser interprets and displays web pages that are text documents written in HTML.
HTML, or HyperText Markup Language, documents are the heart of the web. It includes text content, markup, references to other documents and links to other pages. Here's a link to some more information.
HTML vocabulary
Coding is writing text in a language computers can understand, such as HTML.  However, computers will never make erroneous interpretations. If a coder can't remember the details it is possible to simply look them up.
Creating structure using HTML is easily done using a "Tree-Like Structure". This refers to the branching out used in HTML. Similar to file paths in a documents folder. Within the text of an HTML document this appears as a series of indented elements.
Structure on a web page can be identified as a series of Boxes. Boxes are an important part of web page structure and design.
Block elements of HTML, as opposed to line elements, plus the tree-like structure of HTML is used to create the boxes that appear on a web page. The further indented a line is in HTML, the deeper nested the corresponding box is on the web page.
Text Editors, such as Sublime Text, make this entire process much easier.
CSS or Cascading Style Sheets adds style to HTML structure. The cascading aspect of CSS is also known as inheritance, where previous specifications are applied to the follow on elements.
Avoiding Repetition is an importnat aspect of CSS. Avoiding repition helps to reduce errors and increase consistency.
Selectors target specific HTML elements and apply style to them. One of the most best selectors to use is a class selector. Selectors are instrumental in avoiding repetition. A better explanation, and more information, can be found here.
After a selector there should be a pair of curly braces. Inside the braces there is a declaration which consists of a property and a value. The declaration is a rule that is applied to the selector.
CSS has a lot of functionality, it would be extremely difficult to memorize all CSS attributes. Luckily coders can simply look up what they need from CSS documentation.
There are three methods for adding CSS to HTML. The most practical method is to create a seperate file for your CSS code and link it to the HTML, as is demonstrated here.
Boxes are pretty important with web page development, and CSS can help with the placement and sizing of boxes. Andy Brown has provided us with a handy resource page, which includes all this CSS layout info.
Code, Test, Refine. HTML testing CSS testing.


Archives for Faded Stars News.
- Mon, 09 Oct 2017
- A TinyFugue Macro!
- Mon, 02 Oct 2017
- MUCK STATUS
- Sun, 01 Oct 2017
- MUCK Information
- Sun, 01 Oct 2017
- Official Start of the Newspaper!
- Mon, 11 Sep 2017
- MUCKS! And how to get started!
- Thu, 07 Sep 2017
- Welcome to the Community News.
- Thu, 07 Sep 2017
- Just A Quick Update
- Tue, 05 Sep 2017
- Current Status of Faded Stars
- Sun, 03 Sep 2017
- First News Post


Core Topics
Advanced Topics
Misc
Optimizing Performance
There's a number of ways to improve Mithril performance for the rare cases where pages are too complex for their own good.
First and foremost, you should think hard about whether performance optimization is truly your last resort. By nature, optimizing performance make aggressive assumptions that can break in edge cases and it yields difficult to understand code. As a rule of thumb, you should never implement performance optimizations if another solution is available.
For example, if you are building a table with thousands of rows and finding that the template is slow, you should first consider making the table show less items, because from a user experience perspective, no one is realistically going to scan through thousands of records. The effort to make the table paginated, searchable or filterable can improve the user experience in addition to solving the performance problem both on redraws and on initial page load.
Compiling templates
You can optionally pre-compile templates that use m()
by using mithril-objectify. This step isn't required in order to use Mithril, but it's an easy way to squeeze a little bit more performance out of an application, without the need for code changes.
Compiling a template transforms the nested function calls of a template into a raw virtual DOM tree (which is merely a collection of native Javascript objects that is ready to be rendered via m.render
). This means that compiled templates don't need to parse the string in m("div#foo")
and they don't incur the cost of the function call.
It's worth mentioning that Mithril has built-in mechanisms elsewhere that take care of real bottlenecks like browser repaint management and DOM updating. This optional compilation tool is merely "icing on the cake" that speeds up the Javascript run-time of templates (which is already fast, even without compilation - see the performance section on the homepage).
The tool takes regular Mithril templates like the one below:
var view = function() {
return m("a", {href: "http://google.com"}, "test");
}
It pre-processes the m()
call and replaces it with its output:
var view = function() {
return {tag: "a", attrs: {href: "http://google.com"}, children: "test"};
}
Note that compiled templates are meant to be generated by an automated build process and are not meant to be human editable.
Installing
Mithril-objectify requires a NodeJS environment. To install it, go to its website and use the installer provided.
To install mithril-objectify, NodeJS provides a command-line package manager tool. In a command line, type:
npm install -g mithril-objectify
Then, to compile a file, type:
mithril-objectify ./input-filename.js ./output-filename.js


patients symptoms diagnostic travelers virus; travel arbovirus arboviral Fig requests DENV Dutch diagnostics fever infections disease number tested surveillance region arboviruses clinical data infectious physicians returning virus .–. risk test diseases doi: analysis based encephalitis infection CHIKV cause history patient recorded tests positive syndromic viruses European dengue diseases. hemorrhagic likely requested Asia Travel cases common diagnosis exposure severe specific study syndrome used <. (%) Europe Neurological chikungunya combination depicted febrile potential use using ./journal.pntd..g Cleton Netherlands Reimerink Reusken Southeast WNV Western algorithms bulletin database days destination distribution geographical health hospitals illness important included information known odds percentage provided rash region-symptom reported showed tested. testing travelers. Africa Hemorrhagic However, South TBEV Table arthralgia associated compared continent current endemic far groups high lack literature-based medical missed neglected neurological particular patients, presented presenting returned serological specialized van (horizontal (left (see Arboviruses Clinical Emerging Febrile Japanese Koopmans NBC Valley analyzed approach article assessment available awareness axis) centers certain clinics. countries, der disease. divided emerging equine general large limited local low outcomes popular public rarely regions, regions. relevant research results scale seen symptoms. vaccination


{% load static %}
Start Date: {{trip.start_date}}
End Date: {{trip.end_date}}
Created On: {{trip.created_at}}
Last Updated: {{trip.updated_at}}
Plan: {{trip.plan}}
Created by: {{trip.user.first_name}}


--- layout: post title: 'Next Meeting: 21st of September' categories: - Meetings - nextmeeting tags: [] status: publish type: post published: true meta: _edit_last: '2' --- We are still looking for presentations, so feel free to get in contact with us or send us a message on the mailing list. Presenters can get 3 extra ballots in the free pass draw for the BlackBerry DevCon Americas 2011 conference.


Conceptualized, planned, and executed original designs for a mobile responsive website for Subboard, Inc., that helped provide information and services to new enrolled students.
Click here for more details.
Installed printers, computers, and other computer peripherals for various Subboard department personnel.
Click here for more details.
Performed routine duties in dining hall such as food preparation, plating and serving food, verifying meal plans, cleaning kitchen and dining facilities and stocking supplies.
Communicated and provided assistance to customers as needed
Java, C++, Python, Shell, Swift, HTML(5), CSS(3), JavaScript, jQuery, ReactJS, AngularJS
Content Management Systems (Sitecore, Wordpress), Eclipse, Putty, FileZilla, Visual Studio, Sublime Text, Brackets, Xcode, Pixelmator Pro, Adobe Photoshop
Deep understanding of UI/UX design principles and working knowledge of responsive (mobile-first) web page design.
I love coding things from scratch, but I can work with front-end frameworks like Bootstrap too.


Time as a point of reference opens up the possibility of planning, of decision making and helps us with the creation of habits. It gives us permission to imagine a future and work towards it.
We build calendars and structures in order to understand the patterns of nature. And in a similar way, we can build our own patterns and routines, using time for personal purposes.
Last year, I had a couple of months to study for a big test. It was a huge task that I didn't know how to tackle.
At first, I blocked time everyday, but that wasn't enough. I needed to feel security around the fact that I was putting in the time to study. It was a combination of accountability for myself and a way to acknowledge my efforts towards the test.
As a designer and a visual thinker, I wanted to create the best way to manage my time and to see, literally, where it was going. I consulted with my old friends: pencil and paper. I started to play with lines and grids and see what was working best for me. What came out of this was my calendar system of time tracking, planning and weekly goal setting.
My initial layout had columns for each day, each page had three weeks and I was using eight color codes. The color for the test was purple. It still gives me satisfaction to see how much time I was putting into the test and knowing that it paid off at the end.
The fact that I had three weeks in one page allows me to see progress over time and a direct comparison between weeks and the color coding allows me to see different layers of information at once. In the right column, I have a space for my color conventions and a space for the three goals I set each Sunday night after my weekly review. Having my goals there helps me to stay on track and they are related to my monthly, quarterly and annual goals.
After a few months, I realized that I could use the space better and added another week to the layout so I had one month on each page. I also added new labels as I was feeling more confident in my ability to create habits. I don’t usually track my weekends unless I’m doing artist work, reading or writing.
This is how my current color system works
- Yellow line: Waking up.
- Light Green: Self care.
- Blue: Academic work.
- Blue with dots or lines: Personal writing and reading.
- Orange: Active wellness. Working out, meditation.
- Red: Work.
- Dark Green: Artist work.
- Pink: General tasks.
- Yellow highlighter: This is my biggest personal project at the time. Everything related to learning digital product design and working towards building products goes here.
- Yellow with lines: community and online events, coworking sessions.
What is lacking in my system?
Because the space in my notebook is limited, I use an additional calendar in my wall where I schedule with small bookmarks. I love an analog solution because I can just glance at my calendar to see if I have free time or not. But at the same time, is additional work that I’d love to avoid. I optimized this by naming the labels in a general way. For example, I write “coworking session” instead of “coworking session with Nibras” so I can re-use the label for multiple coworking sessions and I have the details of each event in my online calendar.
I also use a to do list app where I schedule my everyday tasks, prioritizing the goals for my week as a recurring task on top of everything else. My current color coding system is consistent in my notebook, my physical calendar and my to do list.
Why is this useful?
This system keeps me accountable, helps me track my habits and routines over time, and allows me to see how consistent I am from one week into the other and from one month into the other. I can get better at things if I am consistent with my efforts.
I believe that we are what we do. Seeing where my time goes gives me a better understanding of myself. I can see what matters to me the most at any given moment and allows me to be mindful of how I’m spending my time.
Time management and planning is one of the most important things in my life. It is a part of what gives me agency and freedom to think, to plan and to build the version of the human being I want to be.


Tests Results:
(auto-refreshes every 5 seconds)
Tests run:
Tests passed:
Tests failed:
Test Output
(
open in a new window
)


This Tokenized charge app currently runs on rave sandbox environment, to charge with a token you will need to get the card token first from the card payment response.
You can use any of the test cards below to make payment, then you can use the card token from the response to do the tokenized charge.
NB: You can also test the 3DSecure Redirect Payment Flow by using the test card below.


Quadratic Equation Calculator
Use the inputs below to enter values for "a", "b" and "c".
Calculate
2018- FuseDojo


DanceSmash
DNCE-Net
Deep Neural Choreography Emulation Network
Compete
Showcase your dancing skills globally
Rank
Rate other players
Record Submit


Uses of Class
com.restfb.types.Page
| Package | Description |
|---|---|
| com.restfb.types |
Default implementations of Facebook
Graph API Objects.
|
| com.restfb.types.ads |
Special types to interact with the Facebook Marketing
API.
|
-
Uses of Page in com.restfb.types
Subclasses of Page in com.restfb.types Modifier and Type Class Description class
Account
Represents the Account Graph API type.Methods in com.restfb.types that return Page Modifier and Type Method Description Page
Page. getBestPage()
The best available Page on Facebook for the concept represented by this Page.Page
Page.MailingAddress. getCityPage()
Page representing the address city.Page
WorkExperience. getEmployer()
Deprecated.Page
Milestone. getFrom()
The Page that posted the milestone.Page
PageAdminNote. getFrom()
Page that owns the note.Page
PageCallToAction. getFrom()
Page that owns the call-to-action.Page
PageLabel. getFrom()
Page
PageLifeEvent. getFromPage()
The information of the Page that owns the milestone.Page
Page. getGlobalBrandParentPage()
This brand's global (parent) Page.Page
WorkExperience. getLocation()
Deprecated.Page
SearchPlace. getPage()
The Page node corresponding to the Place.Page
UserIDForPage. getPage()
Page
Page. getParentPage()
Parent Page of this Page.Page
PlaceTag. getPlace()
The place that was visitedPage
WorkExperience. getPosition()
Deprecated.Methods in com.restfb.types with parameters of type Page Modifier and Type Method Description void
Page. setBestPage(Page bestPage)
The best available Page on Facebook for the concept represented by this Page.void
Page.MailingAddress. setCityPage(Page cityPage)
Page representing the address city.void
WorkExperience. setEmployer(Page employer)
Deprecated.void
Milestone. setFrom(Page from)
The Page that posted the milestone.void
PageAdminNote. setFrom(Page from)
Page that owns the note.void
PageCallToAction. setFrom(Page from)
Page that owns the call-to-action.void
PageLabel. setFrom(Page from)
void
PageLifeEvent. setFromPage(Page fromPage)
The information of the Page that owns the milestone.void
Page. setGlobalBrandParentPage(Page globalBrandParentPage)
This brand's global (parent) Page.void
WorkExperience. setLocation(Page location)
Deprecated.void
SearchPlace. setPage(Page page)
The Page node corresponding to the Place.void
UserIDForPage. setPage(Page page)
void
Page. setParentPage(Page parentPage)
Parent Page of this Page.void
PlaceTag. setPlace(Page place)
The place that was visitedvoid
WorkExperience. setPosition(Page position)
Deprecated. -
Uses of Page in com.restfb.types.ads
Methods in com.restfb.types.ads that return Page Modifier and Type Method Description Page
LeadgenForm. getPage()
Page
StoreCatalogSettings. getPage()
Page
Business. getPrimaryPage()
Methods in com.restfb.types.ads with parameters of type Page Modifier and Type Method Description void
LeadgenForm. setPage(Page page)
void
StoreCatalogSettings. setPage(Page page)
void
Business. setPrimaryPage(Page primaryPage)


IOSD's DevDay will cover multiple aspects of Open Source Development such as Android, Firebase, Google Cloud Platform, Microsoft Azure, Google Assistant, Flutter, Google Summer of Code and much more. We would be discussing the progress of the organisation as a whole and the happenings in each individual student chapter, with major focus on our new open-source projects and drive to get every members and student in the community on a project or internship. Events will include Speaker Sessions, Workshops, Community Outreach and trainings with mentors from Google Developers Experts, Women Techmaker Ambassadors, Github Campus Experts and Advisers. Featuring the Top Prodigies from India's Leading Software Development based Organisation, the meetup will be an invite exclusive event.
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We are bringing Tech Leaders and Open Source Mentors to engage you throughout and create best learning experience under the community.
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Using existing models¶
In this tutorial we will describe everything you can do with OpenSeq2Seq without writing any new code. We will cover the following topics: how to run one of the implemented models (for training, evaluation or inference), what parameters can be specified in the config file/command line and what are the different kinds of output that OpenSeq2Seq generates for you.
How to run models¶
There are two scripts that can be used to run the models: run.py
and
start_experiment.sh
. The latter one is just a convenient bash
wrapper around run.py
that adds additional functionality, so we will
describe it in the end. Since run.py
is a fairly simple Python script,
you can probably understand
how to use it by running run.py --help
which will display all available
command line parameters and their short description. If that does not contain
enough details, continue reading this section. Otherwise, just skip to the
description of start_experiment.sh
script (last paragraph of this section).
There are 2 main parameters of run.py
that will be
used most often: --config_file
and --mode
. The first one is a required
parameter with path to the python configuration file (described in the next
section). --mode
parameter can be one of the “train”,
“eval”, “train_eval” or “infer”. This will do what it says: run the model in
the corresponding mode (with “train_eval” executing training with periodic
evaluation). The other parameters of the run.py
script are the following:
--continue_learning
— specify this when you want to continue learning from existing checkpoint. This parameter is only checked when--mode
is “train” or “train_eval”.--infer_output_file
— this specifies the path to output of the inference. This parameter is only checked when--mode
is “infer”.--no_dir_check
— this parameter disables log directory checking. By default,run.py
will be checking that the log directory (specified in the python config) is valid. Specifically, it will check that it exists when--mode
equals “eval” or “infer” (or when--continue_learning
is specified for training). If training is performed, but--continue_learning
is not specified, the script will check that log directory is empty or does not exist, otherwise finishing with exception. Finally, whenever necessary it will check that the log directory contains a valid TensorFlow checkpoint of the saved model.--benchmark
— specifying this parameter will automatically prepare config for time benchmarking: disable all logging and evaluation. This parameter is only useful for training benchmarking, since in other cases no config preparation is needed. Moreover, specifying it will force the model to run in the “train” mode.--bench_steps
— number of steps to run the model for benchmarking. For now this can only be used in conjunction with--benchmark
parameter and thus only works in the training benchmarking.--bench_start
— first step to start counting time for benchmarking. This parameter works in all modes whether or not--benchmark
parameter was specified.--debug_port
— this enables TensorFlow debugging. To use it first run, e.g.tensorboard --logdir=. --debugger_port=6067
and while tensorboard is running executerun.py
with--debug_port=6067
attribute. After that tensorboard should have debugging tab.
In order to make it more convenient to run multiple experiments we provide
start_experiment.sh
script that is a wrapper around run.py
script which
does the following things. First, it will make sure that the complete output of
run.py
is saved inside the log directory (in the “output_<time stamp>.log
file, where <time stamp> is a string with current date and time to make sure
that everything is saved if you run this script multiple times).
Second, it will log the current git commit and git diff in the
“gitinfo_<time stamp>.log” file to make it possible to completely reproduce the
experiment. Finally, it will save the current experiment configuration in the
“config_<time stamp>.py” file. To run start_experiment.sh
you will need to
define the following environment variables: LOGDIR
(path to the desired log
directory), CONFIG_FILE
(path to the Python configuration file), MODE
(mode to execute run.py
in) and CONTINUE_LEARNING
(whether to specify
--continue_learning
flag for run.py
, could be 1 or 0). For example to
train DeepSpeech2-like model on the toy speech data you can run:
LOGDIR=experiments/librispeech CONFIG_FILE=example_configs/speech2text/ds2_toy_data_config.py MODE=train_eval CONTINUE_LEARNING=0 ./start_experiment.sh
Config parameters¶
The experiment parameters are completely defined in one Python configuration
file. This file must define base_params
dictionary and base_model
class.
base_model
should be any class derived from
Model
. Currently it can only be
Speech2Text
or
BasicText2TextWithAttention
.
Note that this parameter is not a string, but an actual Python class, so you
will need to add corresponding imports in the configuration file. In addition
to base_params
and base_model
you can define
train_params
, eval_params
and infer_params
dictionaries that will
overwrite corresponding parts of base_params
when the corresponding mode
is used. For example of configuration file look in the example_configs
directory. The complete list of all possible configuration parameters is
defined in the documentation in various places. A good place to look first is
the Model.__init__()
method
(config parameters section), which defines most of the first level parameters:
-
Model.
__init__
(params, mode='train', hvd=None)[source] Model constructor. The TensorFlow graph should not be created here, but rather in the
self.compile()
method.Parameters: - params (dict) – parameters describing the model.
All supported parameters are listed in
get_required_params()
,get_optional_params()
functions. - mode (string, optional) – “train”, “eval” or “infer”. If mode is “train” all parts of the graph will be built (model, loss, optimizer). If mode is “eval”, only model and loss will be built. If mode is “infer”, only model will be built.
- hvd (optional) – if Horovod is used, this should be
horovod.tensorflow
module. If Horovod is not used, it should be None.
Config parameters:
- random_seed (int) — random seed to use.
- use_horovod (bool) — whether to use Horovod for distributed execution.
- num_gpus (int) — number of GPUs to use. This parameter cannot be
used if
gpu_ids
is specified. Whenuse_horovod
is True this parameter is ignored. - gpu_ids (list of ints) — GPU ids to use. This parameter cannot be
used if
num_gpus
is specified. Whenuse_horovod
is True this parameter is ignored. - batch_size_per_gpu (int) — batch size to use for each GPU.
- num_epochs (int) — number of epochs to run training for.
This parameter cannot be used if
max_steps
is specified. - max_steps (int) — number of steps to run training for.
This parameter cannot be used if
num_epochs
is specified. - save_summaries_steps (int or None) — how often to save summaries. Setting it to None disables summaries saving.
- print_loss_steps (int or None) — how often to print loss during training. Setting it to None disables loss printing.
- print_samples_steps (int or None) — how often to print training samples (input sequences, correct answers and model predictions). Setting it to None disables samples printing.
- save_checkpoint_steps (int or None) — how often to save model checkpoints. Setting it to None disables checkpoint saving.
- eval_steps (int) — how often to run evaluation during training.
This parameter is only checked if
--mode
argument ofrun.py
is “train_eval”. If no evaluation is needed you should use “train” mode. - logdir (string) — path to the log directory where all checkpoints and summaries will be saved.
- data_layer (any class derived from
DataLayer
) — data layer class to use. - data_layer_params (dict) — dictionary with data layer configuration. For complete list of possible parameters see the corresponding class docs.
- learning_rate (float) — initial learning rate for training.
- optimizer (string or TensorFlow optimizer class) — optimizer to use for training. Could be either “Adam”, “Adagrad”, “Ftrl”, “Momentum”, “RMSProp”, “SGD” or any valid TensorFlow optimizer class.
- optimizer_params (dict) — dictionary that will be passed to
optimizer
__init__
method. - initializer — any valid TensorFlow initializer.
- initializer_params (dict) — dictionary that will be passed to
initializer
__init__
method. - regularizer — and valid TensorFlow regularizer.
- regularizer_params (dict) — dictionary that will be passed to
regularizer
__init__
method. - dtype — model dtype. Could be either
tf.float16
,tf.float32
or “mixed”. For details see mixed precision training section in docs. - lr_policy — any valid learning rate policy function. For examples,
see
optimizers.lr_policies
module. - lr_policy_params (dict) — dictionary containing lr_policy parameters.
- max_grad_norm (float) — maximum value of gradient norm. Clipping will be performed if some gradients exceed this value (this is checked for each variable independently).
- larc_mode — specify this to use LARC or LARS optimization
algorithms. Could be either “scale” (LARS) or “clip” (LARC).
You also need to specify
larc_nu
to enable LARC or LARS. Note that it works in addition to any other optimization algorithm since we treat it as adaptive gradient clipping and learning rate adjustment. - larc_nu (float) — LARC or LARS scaling parameter.
- loss_scale (float) — static loss scale to use. For details see mixed precision training section in docs.
- automatic_loss_scaling — automatic loss scaling mode. Could be either None, “Backoff” or “Logmax”. For details see mixed precision training section in docs.
- summaries (list) — which summaries to log. Could contain “learning_rate”, “gradients”, “gradient_norm”, “global_gradient_norm”, “variables”, “variable_norm”.
- params (dict) – parameters describing the model.
All supported parameters are listed in
Note that some of the parameters are also config dictionaries for corresponding
classes. To see list of their configuration options, you should proceed to the
corresponding class docs. For example, to see all supported data layer parameters,
look into the docs for data.data_layer.DataLayer
. Sometimes, derived classes
might define their additional parameters, in that case you should be looking
into both, parent class and its child. For example, look into
models.seq2seq.Seq2Seq
, which defines sequence-to-sequence specific
parameters (i.e. encoder, decoder and loss). You can also have a look at
encoders.encoder.Encoder
(which defines some parameters shared across
all encoders) and encoders.ds2_encoder.DeepSpeech2Encoder
(which
additionally defines a set of DeepSpeech-2 specific parameters).
Note
For convenience all first level parameters can be overwritten by
command line arguments. For example, try to add --logdir
argument
to your run.py
execution.
What is being logged¶
This section is going to be completed soon.


Here we have collected everything you need to get started with creating mobile apps for the Internet of Things in JavaScript/HTML using Evothings Studio 2.0.
Evothings Studio is a development tool for creating mobile applications for the Internet of Things (IoT). Evothings Studio is based on web technologies and open-source software components.
Please note that this guide applies to Evothings Studio 2.0 Beta. Version 2.0 is an improvement over version 1.2 in many ways, most notably the connection between Evothings Workbench and Evothings Viewer is more reliable and flexible. (Evothings Viewer replaces the Evothings Client app used with Evothings Studio 1.2.)
Here are the tools you use to develop apps with Evothings Studio:
With Evothings Studio you have the freedom to use any code editor you like. As soon as you save a file, changes will be picked up by Evothings Workbench and connected mobile devices will be notified to update the running app. The live reload mechanism works with all files and formats. For example, if you save a bitmap image in Photoshop, the app will update itself and display the new image.
To make it easy to get started, Evothings Workbench comes with a collection of ready-to-use example apps for various IoT devices, for example Eddystone and iBeacon beacons, Arduino, TI SensorTag, and many more.
Here is a list of what you need to get going:
Here is a step-by-step guide to get you going, right from scratch:
Next step is to modify the example code:
To create your own mobile application project, you have three options:
All of the above methods will create an entry under the tab "My Apps". You can rearrange app entries using drag and drop. Close them using the close icon (x). This will not remove the files on disk.
When you create an app using NEW or COPY, the app files will be saved in a folder on disk. You can specify the folder in a dialog box. If you wish to move the app to another folder, delete the app item under "My Apps" (will not delete the app folder). Move the app folder to the new location. Drag index.html from the system file browser into "My Apps".
To create an app from scratch (or add an existing app you have) follow these steps:
An Evothings app project is just a folder with your HTML and JavaScript files. Just like any web site. And as soon as anything is changed, the Workbench pushes it to all connected viewers, just like that!
In the "More" menu you will find the "Settings" menu option. This open a dialog where you can change the font size used in the Tools window, and the number of directory levels traversed by the reload file watcher. You can also change the default path to the folder used by the NEW and COPY buttons.
The setting for the reload server address is intended for developers of Evothings Studio. In most cases you should not change this value. Default value is "https://deploy.evothings.com". The reload server handles the communication between Evothings Workbench and connected phones and tablets.
The documentation pages contains information about the tools available in Evothings Studio.
Apache Cordova is a build system for creating native apps developed in HTML/JavaScript. You can use Evothings Studio without Cordova, but if you want to create native apps it is needed.
It is useful to know that Evothings Viewer itself is a Cordova app, developed using Evothings Studio.
Cordova plugins are code modules that provides native device functionality, such as Bluetooth Low Energy and iBeacon ranging. Evothings Viewer comes with a number of plugins preinstalled.
Included with the Evothings Studio download:
Note that Evothings Viewer is installed from the app stores, and is not included with the download.
Evothings Workbench runs on top of the nw.js engine (which includes WebKit and node.js). The nw.js binary is included with the download (named "EvothingsWorkbench"). All download packages (Windows/OS X/Linux) are basically identical except for the node-webkit binary.
Here is an overview of some of the files and folders in the unzipped download package:
examples - example apps hyper - JavaScript code for the Workbench server - code that communicates with the proxy server that routes reloads to the Viewer settings settings.js - settings you can modify ui - user interface code node_modules - modules used by node-webkit package.json - Workbench application settings
Evothings Studio gives you several useful tools and goodies:
To learn more about how reload-on-save works, read the article Hybrid app development made fast (kindly note that this article is not updated for Evothings Studio 2.0, but basic principles still apply).
To let others test your app, you have the following alternatives available:
The Cordova IoT Starter Guide contains information about how to get going with building native apps using Cordova.
Also check out the Build overview and the Cordova Guide in the Evothings documentation.
Here’s how to build apps using Adobe’s build service for hybrid apps called Phonegap Build, just follow the instructions in this technical tutorial on preparing and uploading files.
Use the Tools window in Evothings Workbench to write log messages using the hyper.log() function.
Click the "Tools" button in the Workbench menu bar to open this window. Log messages are displayed in the bottom pane.
This will log the current window width for all connected viewers:
hyper.log('window width: ' + window.innerWidth)
And this will log the device name and platform (note that the app must include cordova.js for the device object to be available):
hyper.log('device model: ' + device.model + ' platform: ' + device.platform)
In the top pane of the Tools window you can interactively evaluate JavaScript code on connected devices. This is useful both when developing and debugging an app.
Initially, the top pane contains some code examples you can try out. In case you have erased the initial contents, click the "Restore" button to get it back.
When you quit Evothings Workbench the contents of the top pane of the Tools window is saved automatically.
One good thing to know is how JavaScript libraries are used. JavaScript library files are included in an app using HTML script tags (typically this is done in index.html).
There are two kinds of JavaScript libraries used in a Cordova-based mobile app (such as Evothings Viewer):
Knowing the differences between these are helpful.
Cordova libraries are bundled with the app. You never see the JavaScript plugin files in your own application code. If you wish to browse the source code for a plugin, you have to look in the plugin code, which is available in the plugin code repository (usually on GitHub), and in the native project build with Cordova.
Cordova libraries are included with one single script tag including cordova.js:
<script src="cordova.js"></script>
This will in turn include the JavaScript code for all plugins installed in the app.
These are libraries used by the application. The JavaScript code for other libraries must either be included with the app and loaded via script tags, or loaded from the network using script tags. However, when loading scripts over the network, the mobile device must be online to work, which may not always be the case. It is recommended that all scripts used are included with the app.
Evothings example applications use several JavaScript libraries related to IoT. These are included in the folder "libs/evothings" with subdirectories.
The file "libs/evothings/evothings.js" contains functions for loading scripts asynchronously, which can be useful in some circumstances.
Note that not all example apps have all libraries included, only the libraries actually used are included with each app. All Evothings libraries available can be found on GitHub.
Download Evothings Studio and experience the joy of developing mobile apps for IoT using friendly tools and a fast workflow.
It is fun and easy to get up and running!


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{% extends "base.html" %}
{% block content %}
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{{ render_text("To confirm, please click on the button below or use this link:
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{% endblock %}


{% extends "layout.html" %} {% block page_title %} GOV.UK prototype kit {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} Data Admin Edit the data that is displayed on this site General System Date Levy Declarations Quick create: Start date: Months: Monthly amount: Create declarations Date Amount (10% top up added automatically) Clear Remove Add another declaration Commitments Provider Start date End Date Monthly Payment Remove Add another commitment Providers Provider Name Reference Standards Remove Add another provider Save all data {% endblock %}
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Guidance
This page contains information related to the 2015 to 2016 academic year. Please visit our student support page for the most up to date guidance.
This guide provides information to all those involved in the delivery of the Care to Learn scheme in the 2015 to 2016 academic year.
This guide provides information to all those involved in the delivery of the Care to Learn scheme in the 2015 to 2016 academic year. It provides general information about the eligibility criteria for the scheme which has been set by the Education Funding Agency (EFA).
This guide does not attempt to offer definitive advice for every situation; stakeholders who require further or more detailed help and advice should contact the Student Bursary Support Service who administer the scheme on behalf of the EFA. The sources of further information section provides useful telephone numbers; e-mail and website addresses.
Care to Learn is intended to help enable young parents under the age of 20 to continue in, and return to education after the birth of a child by providing funding for childcare whilst the young parent is engaged in a study programme and is therefore not able to provide care for their child. Care to Learn can also assist with the cost of associated travel costs. The scheme can provide up to a maximum total amount of support of £160 per child per week or up to a maximum of £175 per child per week in London.
The young parent’s study programme must have some public funding.
Care to Learn will only fund childcare provision that is registered with Ofsted.
Young parents, their education institution and their childcare provider must all meet the eligibility criteria to receive Care to Learn.
Young parents must complete and submit a new application for each academic year they want to claim Care to Learn funding, even if their study programme runs for more than one year.
Young parents are encouraged to apply for Care to Learn before the start of their study programme or as soon as possible after they start. It is important that young parents are aware that payments can only be backdated to the start of their study programme if their application is received within 28 days of the start date. Payments for any applications received outside of this timeframe will begin from the Monday of the week in which the application was received. Young parents can apply before their baby is born, but their application cannot be fully assessed until all the child’s details have been provided.
Stakeholders are encouraged to tell young parents about the availability of financial support for childcare through Care to Learn to help them make more informed decisions about their options.
In order to receive support from Care to Learn, the young parent, their education institution and childcare provider must all meet the eligibility criteria for the scheme as set out below.
The young parent must be aged under 20 years old on the date they start their study programme. Young parents who become 20 during their study programme will continue to be funded to the end of that specific study programme, ie to the end of the same programme at the same level.
The young parent must be the main carer and in receipt of Child Benefit for the child(ren) for whom they are claiming Care to Learn. If a young parent loses custody of their child(ren), even temporarily, the Student Bursary Support Service must be told immediately. Care to Learn may be claimed by the mother or the father of the child as long as:
Only young parents who are both living and studying in England are eligible for Care to Learn.
A London weighting applies to the scheme. The London weighted maximum is £175 per child per week (compared with a maximum of £160 outside London). Eligibility for London weighting is determined by the young parent’s home address and applies to the following Boroughs:
To be eligible for Care to Learn, a young parent must meet the following residency criteria:
Where a young parent indicates that they are a migrant from a country that is outside the EEA, they will only be eligible for Care to Learn if one of the following immigration conditions applies:
Young parents are not required to submit evidence of their residency status with their application. However, where they confirm they are a migrant from outside the EEA, the EFA may request evidence and/or may carry out checks with the Home Office to confirm their immigration status. Supporting evidence may be requested from the young parent if any issues are identified.
The young parent’s study programme must have some public funding. However there are no specific requirements for the length, duration or level of the study programme. The following therefore gives examples of study programmes which are eligible for Care to Learn and is not an exhaustive list:
However, it is important to note that the following are not eligible for Care to Learn:
In any instances where a young parent is still looking after their child, for example, whilst they are undertaking a study programme with a childcare provider, this is outside the scope of Care to Learn funding.
Young parents can apply before the date of their study programme has been finalised; however the application cannot be fully assessed until the study programme details are confirmed.
Young parents can claim Care to Learn for independent study time which is required as part of their study programme, eg to complete coursework, undertake revision or homework. The amount of independent study time which is required must be agreed between the young parent and their education institution.
Care to Learn will support time needed to undertake work experience placements, but only where these have been clearly identified as an integral part of the study programme
The costs associated with independent study time and work experience placements will form part of the Care to Learn weekly maximum amount (£160 per child per week and £175 per child per week in London).
Childcare provision must be registered with Ofsted for it to be eligible for Care to Learn funding. It must be registered in one of the following ways:
Support for specialist provision on the Care Quality Commission’s register may also be granted on a case by case basis if general childcare provision is not suitable for the child.
The childcare provider must provide evidence of being registered with Ofsted, or, in the case of a school providing childcare, their unique reference number (URN). From 1 September 2014 childminder agencies have been able to register with Ofsted on behalf of the childminders they represent; childminder agencies will be required to provide evidence of their Ofsted registration.
Where a childcare provider is related to the child, the childcare provider must, in addition to being registered with Ofsted:
Local authorities have a duty to secure 570 hours a year of government funded early education over no fewer than 38 weeks of the year for all three and four-year-olds and eligible two-year-olds. Children become eligible for a government funded early education place from 1 September, 1 January or 1 April following their second or third birthday.
A two-year-old child is eligible for an early education place if their parent(s) claims any one of the following:
A two-year-old child is also eligible if they:
Two-year old children who meet the eligibility criteria can continue to receive a funded place once they have taken it up, even if their circumstances change at a later date. To find out more about the entitlement to early learning for 2-year olds and to see if their child is eligible for a place, parents should visit freechildcare on GOV.UK.
It is expected that young parents should access this entitlement before applying for funding from Care to Learn. Young parents may apply for Care to Learn for support to cover any extra hours (over and above their funded early education entitlement) to complete their study programme. This point is explicitly referenced in the declaration on the application.
Local authorities will be able to provide further information about government funded early education in their area.
Childcare Tax Credits are also available for parents (lone or couples) who meet the eligibility criteria to provide help with childcare costs. Any childcare hours being requested for Care to Learn payments must not already be being funded from Child Tax Credits. Again, this point is explicitly referenced in the declaration on the application.
In the 2015 to 2016 academic year, the application process for Care to Learn is moving to an online approach. Guidance will be available throughout the online process to help young parents complete their application.
Student Bursary Support Service (SBSS) portal accounts have already been set up for young parents who received support from Care to Learn in the 2014 to 2015 academic year. Emails have been sent to these young parents providing further details on how to access the online portal. A temporary password has also been sent out to them separately by post. If they require continuing support from Care to Learn in the 2015 to 2016 academic year, they must log in to the portal using the information provided and complete a new application. The first time they log in they will be prompted to change the temporary password to one that is private and more memorable. Once logged in, they should follow the instructions to complete the online application.
New Care to Learn applicants need to apply online and follow the instructions to complete the application.
To apply, the young parent will need to know:
If a young parent does not have all the information to hand to complete the online application in full, it can be saved at any time. When they have the required information, they can log back in to the portal and resume their online application.
Once the online application has been completed in full, young parents will need to ensure that they have read and agree to the privacy notice and declaration before they submit it.
On submission, young parents will receive an email to confirm their application has been received.
The Student Bursary Support Service will make contact with the young parent’s chosen childcare provider and education institution and ask them to provide further details to confirm the course or study programme details and the childcare requirements.
The young parent’s application cannot be processed until all parties have completed their part of the application process.
Existing Care to Learn childcare providers and education institutions should have received an email from the Student Bursary Support Service providing further details on how to access the online portal. A temporary password has also been sent out to them separately by post. Once logged in, they should follow the instructions to complete their respective parts of the application.
New Care to Learn childcare providers and education institutions will be contacted by the Student Bursary Support Service to verify their eligibility for Care to Learn. The Student Bursary Support Service will then register them on the portal and send them details on how to access it. Once logged in, they should follow the instructions to complete their respective parts of the application.
It is important that all parties: young parent, education institution and childcare provider are fully aware of the content of the relevant declarations before submitting their part of the application.
Care to Learn applications must not be submitted by one of the other parties involved in the application process without the young parent’s knowledge.
It would be appreciated if providers could provide assistance to young parents who are experiencing difficulties with completing the online application process.
Alternatively, young parents can use the online webchat function or they can call the Student Bursary Support Service student helpline on 0800 121 8989 for help and advice. Calls to the student helpline are free from a landline; calls from a mobile will be charged but young parents can request a call back to minimise the cost.
Support workers, childcare providers and education institutions are encouraged to contact the Student Bursary Support provider helpline on 0300 303 8610 at any point during the completion of the online application if they are unsure about what information or evidence is required.
The Student Bursary Support Service will carry out an assessment of the young parent’s application to determine their eligibility for Care to Learn. These checks will ensure the childcare provider, education institution and study programme are eligible for the scheme, and that the childcare hours claimed are reasonable in comparison with the hours entered for the study programme.
Care to Learn payments cannot be made until all information from the young parent, education institution and childcare provider has been received and approved and a payment plan has been issued. It is particularly important that childcare providers are fully aware of this.
The following information must be supplied before any Care to Learn payments can be made:
From the childcare provider or childminder agency:
From the education institution:
Once the application has been processed and approved, the Student Bursary Support Service will send an email confirming Care to Learn eligibility to the young parent, childcare provider and education institution (if appropriate). The Student Bursary Support Service will issue a payment plan which confirms the amount that will be paid each week for childcare and the dates between which childcare costs will be paid. Where the young parent intends to use more than one childcare provider, a payment plan will be issued to each childcare provider. The combined amounts on each plan will not exceed the Care to Learn weekly maximum amount (up to £160 per child per week or up to £175 per child per week in London). All payment plans and correspondence can be viewed on the SBSS portal accounts.
The Student Bursary Support Service will also confirm that eligibility for Care to Learn covers the whole or remainder of the academic year, enabling the young parent to complete one study programme and embark on a new one within the same academic year without being required to submit a new application (as long as the eligibility criteria continue to be met). However, any changes must be notified to the Student Bursary Support Service via a change of circumstances process available on the portal as any changes may impact on the dates and costs set out in the payment plan.
The Student Bursary Support Service will also confirm the amount to be paid for additional travel costs, if applicable.
If the young parent is not eligible for Care to Learn, the Student Bursary Support Service will send a refusal email to explain this. A copy will also be sent to their support worker if their details have been provided on the application.
If the Student Bursary Support Service receives the application within 28 days of the start of the study programme, payments will be backdated to the start of the study programme. If the application is received after the 28 day period, payments will begin only from the Monday of the week the application was received by the Student Bursary Support Service.
If the young parent is assessed as eligible for Care to Learn, payments for childcare will be made directly to the childcare provider or childminder agency by the Student Bursary Support Service. Payments for the young parent’s travel costs will be made directly to the education institution by the Student Bursary Support Service.
All payments will be made securely by the Banks Automated Clearing System (BACS).
Care to Learn will pay towards the cost of childcare up to a maximum of £160 per child per week (up to a maximum of £175 per child per week if the young parent’s home address attracts London weighting). The funds will be paid directly to the childcare provider or childminder agency each month in advance. Childcare providers must note that no Care to Learn payments can be made until all the information required from the young parent, education institution and childcare provider has been received by the Student Bursary Support Service.
Care to Learn will support childcare hours in reasonable excess of the study programme hours to allow time for travel between the education institution, childcare provider and any independent study time undertaken, within the maximum weekly amount.
Summer retainers can be paid to childcare providers for the time between the end of one study programme period and the beginning of another. A summer retainer to keep the childcare place open over the summer holiday period must be applied for separately before the end of the summer.
Any summer retainer forms for 2015 which are received by the Student Bursary Support Service after 1 September 2015 will not be paid.
Deposits of up to £250 per child can be paid to the childcare provider if required. The amount of deposit will be deducted from the first month’s childcare payment. In the unlikely event that the first month’s childcare payment is insufficient to support the deduction of the full deposit, the balance will be deducted from the second month’s childcare payment. The childcare provider cannot have the deposit offset against the final weeks of the payment plan.
Registration fees charged by the childminder or childminder agency, up to a maximum of £80 per child, will be funded through the scheme. Such fees are not deducted from future childcare payments.
Young parents may claim for travel costs that are necessary to take their child(ren) between childcare and home where those costs are in addition to their normal travel costs from home to college. Travel costs will not be paid where the childcare takes place on the same site as the education. The total of the childcare and travel costs must not exceed the weekly maximum amount of £160 per child per week (or up to £175 per child per week in London).
If the amount of travel being requested seems excessive, the Student Bursary Support Service will request additional information from the education institution to confirm that the costs are reasonable, based on their local knowledge.
Travel payments are made to the education institution. The education institution should reimburse the travel payment to the young parent, or use it to arrange transport for the young parent, as appropriate.
A one off £100 childminder network/broker payment will be made for each application which is supported by a network/broker or childminder agency, if they are acting in the capacity set out below, that results in a young parent starting their chosen study programme. This is dependent on that network/broker or childminder agency providing at least three of the five services listed below:
In addition, the network/broker or agency must be recognised by their local authority, Early Years Development and Childcare Partnership, or Family Information Service, or the Professional Association for Childcare and Early Years.
The childcare provider is asked on the Care to Learn application to make a formal declaration about whether they have been supported by a childminding network/broker or a childminder agency acting in this capacity.
A one off payment of £80 will be made to education institutions for each new young parent accessing Care to Learn to support their administrative costs for the attendance monitoring requirements of the scheme. Only one payment per young parent per academic year will be issued. Payment will be made following confirmation from the education institution that the young parent is in attendance.
Payments for childcare will only be made while the young parent is still attending their study programme and the child is still in childcare. Both the education institution and childcare provider are required to complete monthly attendance monitoring returns online via the Student Bursary Support Service portal.
Attendance monitoring returns should be completed online and submitted to the Student Bursary Support Service within 7 working days of becoming available via the portal in order to avoid payments being withheld. An email will be sent to education institutions and childcare providers when the attendance monitoring returns are available.
Young parents and their child(ren) are expected to attend their respective provision for all the hours stated in the application, but there may be occasions where this is not possible, for example, because of illness or family emergency. For that reason, there is no required level of attendance set for Care to Learn. Education institutions should use their discretion to assess whether a young parent is still attending their study programme, considering the number of and reasons for absences to decide whether or not reasonable attendance has been met.
Failure by education institutions or childcare providers to complete and submit attendance monitoring returns within 7 working days will result in childcare and travel payments being withheld.
Education institutions and childcare providers should notify the Student Bursary Support Service immediately if the young parent has stopped attending their study programme or has removed their child from childcare.
The Student Bursary Support Service must be notified immediately if any of the following circumstances change:
Change of circumstances must be reported through the Student Bursary Support Service portal.
Where study lasts for more than one academic year, or where the young parent is progressing onto a further study programme or to University, a summer retainer can be paid to enable the childcare place to be kept open over the summer holiday period.
To be eligible for a summer retainer in 2015 the young parent must be:
Summer retainer applications for summer 2015 will also be managed online. Guidance to help young parents complete the process will be available, as for the 2015 to 2016 academic year application, but any students unable to complete the process online should call the Student Bursary Support helpline on 0800 121 8989.
The summer retainer application must be completed and submitted to the Student Bursary Support Service before the end of the summer holiday period.
Summer Retainer applications for 2015 which are received by the Student Bursary Support Service after 1 September 2015 will not be paid.
Education institutions and childcare providers are expected to retain accurate, robust and up to date records on attendance and funds received in order to ensure the effective reconciliation of payments.
Recovery of Care to Learn overpayments made as a result of error or fraud will take place as follows:
All complaints and appeals must be made in writing to the Student Bursary Support Service at<EMAIL_ADDRESS>.
If the complaint/appeal concerns operational processes or a complaint about customer service, it will be dealt with by the Student Bursary Support Service in the first instance. If the complaint/appeal is about Care to Learn policy, the Student Bursary Support Service will refer it to the EFA’s Young People’s Directorate for a response.
In the event that they are still dissatisfied with the way in which their appeal has been dealt with, the complainant may refer to the Department for Education’s Complaints Procedure. For more information, see the Department of Education complaints procedure on GOV.UK.
For education institutions, childcare providers and providers of information, advice and guidance etc:
For young parents:
Published: 12 March 2015
From: Education Funding Agency
Part of: Further education and training


| Name: SMT.SUNITHA.K | Reg No: 5-9SMMHC18 |
|---|---|
| Age / Sex:37/F | Contact No:9945217700 |
| Marital Status: ML-13 YEARS | Date:11/9/18 |
| Occupation: HOUSEWIFE. DEGREE DISCONTINUE. | Dr. |
Address: NATIVE OF ATP. IN BLORE SINCE 10 YEARS. |
DIAGNOSIS- |
BACKACHE FROM LUMBAR SIDES MORE ON LEFT. SCAPULAR REGION. PULLING PAIN < EVNING, EARLY MORNING > HEAT PAD, MASSAGE.
RX:
IGNATIA1M / THUJA 1M – 4-4-4-4 FOR 4 DAYS REPEAT WEEKLY. FR 3 WEEKS
RHUS TOX 30 – 4-4-4-4 REPEAT WEEKLY
MAG PHOS 12X 4-4-4-4.
RUB 21 –1 B/FOOD.
20/9/18: feeling a lot better physically and mentally. Confidence levels feeling better. Occasionally wen there is strain feeling weak mentally specially any disturbing news. Recently pranay amrutha case. imm got headache. Had cyst in the uterus 2 yrs back. Now periods regular frm 2-3 months. Dryness vagina….not getting desire also now. Headache if gets happy also. Not able to react fr anything fr long.
6/10/18: backache started again after journey and yoga. Now getting upper back muscles region. This 15 days no headache. Lmp: 21/91/8. Desire better. Trying to open up.
Rx:
IGNATIA1M / THUJA 1M – 4-4-4 FOR 4 DAYS REPEAT WEEKLY. FR 3 WEEKS
RHUS TOX 30 – 4-4-4 REPEAT WEEKLY
MAG PHOS 12X 4-4-4-4.
RUB 21 –1 B/FOOD.
1/11/18: after coming from atp giddiness. Backache severe in the upper back . pain killers also temporary more towards right side. Lmp: 25/10/18. 3 days. 2 -3 per day pads. Headache also frequency inc. slight sleepless also head is aching. There her mother is feeling very stressed and pbm with her elder sis life. So she feels that there is no rest there. All complaints started. Till before very active.
Rx:
Nat mur 200 / thuja 200 – 4-4-4-4.
Bryonia 1m - 4 pills sos. Headache.
Rhus tox 200 + chelidonium 30 – disc 4-4-4.
Backache drops.
Rubrum 30 – 1-0-1.
Homoecal. 2-2-2-2.
1/12/18: tiredness more. Lmp: 25/11/18. Backpain reduced. Sleep a bit sensitive unable to get deep sleep. Headache better with twice also.
Rx:
Nat mur 200 / thuja 200 – 4-4-4-4.
Bryonia 1m - 4 pills sos. Headache.
Rhus tox 200 + chelidonium 30 – disc 4-4-4.
Backache drops. ( guiacum+ rhus tox+hyperciumQ+disocoreaQ) – 15-15-15 drops a/food.
Rubrum 30 – 1-0-1.
Homoecal. 2-2-2-2.
Aswagandha+alfalfa+passifloraQ – 10-0-20 drops night b/food. Half bottle only.
23/2/19: feels gaining weight. 82.1kg. lmp: 21.1.19. getting angry on herself. Dryness more. Burning and itching in the urethra. But much much better than before. After coition gets white clotted discharge. Giddiness if feels emotional. Forgetful.
Rx:
Calc carb 1m/thuja1m – 4-4-4-4 alternate weeks.
Bryonia 1m - 4 pills sos. Headache.
Rubrum 30 – 1-0-1.
Staphysagria + cantharis 200 – 2 dram pills 4-4-4-4 1 week.
Backache drops. ( guiacum+ rhus tox+hyperciumQ+disocoreaQ) 15 drops sos for 5 days.
Filcal – 1 tab daily mng b/food.


| (csv file < 1gb ) |
| predict probability of single flight arrival delay (old api) |
| pricing_missed_connection?amount=100.0&threshold=60.0&flight_number=1224&airline_code=KQ&scheduled_departure_airport=CDG&scheduled_arrival_airport=AMS&scheduled_departure_time_utc=2018-02-14%2023:10 |


This week’s machine learning course is about Unsupervised Learning. Supervised Learning is to learn the weights from training examples with answers. Unsupervised Learning does not have such answers in the training examples.
What is K-Means Algorithm?
K-Means Algorithm is one of the supervised learning algorithm, to automatically find K clusters from the training points. It repeats the two steps iteratively until arrives at the optimal situation.
- Clustering assignment : assign each point (each training example) to a cluster centroid
- Move centroid : move centroid to the average position of all points belonging to it
A few things to pay attention to when implementing K-Means Algorithm
- Always normalise the features (zero-mean, better scaling)
- Local optimal is possible, depending on the initial K centroids used. Therefore, we should randomly initialise the K centroids many times and choose the one with the minimum cost function
- Choosing the K number: Elbow Method is not always good. It is better to choose the K number that best serves the downstream purpose.
Dimension Reduction Motivation
By working with lower dimensional data, we have the following advantages:
- Our learning algorithms can often run much much faster
- Use less memory or disk space
- Visualise data in a 2D plot if k = 2, or in a 3D plot if k = 3
PCA (Principle Component Analysis) algorithm
PCA finds a low dimensional “surface” onto which to project the training examples so that the sum of the projection errors is minimised.
Projection error means the projection distance which is the distance between points (All training examples X) and the projections. Think about each training example x as a point in a 3D space, and the “surface” as a 2D plane in the 3D space, the distance of the projection from the point x onto the 2D plane is the projection error (projection distance).
Let’s say we have an n-dimensional training example, and we want to reduce it to a k-dimensional training example.
The PCA will find k vectors - u(1), u(2), …, u(k), which will define the “surface”. u(1) .. u(k) are called eigenvectors or principal components.
How to reduce a training example from n dimension to k dimension?
X the training set, is an n*m matrix
- Sigma = (1/m)X’X, the covariance matrix
- [U,S,V] = svd(Sigma), take the U, n*n matrix, which are the eigenvectors (the principle components)
- Ureduce = U(:, 1:k), meaning take the first k columns of U, name it Ureduce, a n*k matrix
- z = Ureduce’*x transform each training example x into a k dimensional vector
Reconstruction from Compressed Representation
One can easily reconstruct each training example x (n-dimensional) from the compressed representation (k-dimensional) using xapprox = Ureduce*z
How to choose k (number of principal components)?
Choose a (smallest value of) k so that “99% of variance is retained”. Yes, we should try to retain as much variance as possible.
Is it possible to apply the mapping x -> z to cross validation and test set?
Yes, you should apply the same mapping x -> z you get from running PCA on the training set.
Caveat
Do not do PCA systematically in your ML system design, only apply PCA when your learning algorithm runs too slow.
Dimension Reduction showcase
On the left side of the following figure is the original features, each training example (face) is represented by 1024 pixels. When choosing only 100 principal components (reduction of factor of 10), we reduce the dimension of each training example from 1024 to 100. On the right side of the figure is the reconstructed features. Even some informations are lost by dimension reduction, the faces are still recognisable and we 10 times less features to compute.
The eigenvectors
Each of the following faces represents an eigenvector. Each eigenvector transforms one original 1024 dimensional (pixel) training example to 1 pixel of the 100 dimensional (pixel) reduced training example. The figure shows only the first 36 principle components:


--- layout: post title: And It’s All Over subtitle: 结束了 date: '2017-12-10T03:30:00.000+08:00' author: DotIN13 tags: - G+ Impression - Singing Contest - Life modified_time: '2019-07-24T10:22:55.076+08:00' blogger_id: tag:blogger.com,1999:blog-7275524089009887162.post-3165501433700095068 blogger_orig_url: https://dotin13laf.blogspot.com/2019/07/and-its-all-over.html ---
And it's all over. I couldn't figure out where it ended, but it's put to an end anyway. Two months, roughly, is not too long nor too short. They say we should just focus on the process we've been through, but not the outcome itself. I find it the perfect reflection of the training I had last two months.
I did my best, the best I could do, I mean. I didn't even know how good I could be, so I just kept trying. The pitch was never a problem since Base didn't require any keys higher than Sol in G major, and my singing posture was almost the top of the Base – I smile while I sing simply because I enjoyed it, from the bottom of my heart.
 They told me I had problem with my exaggerated mouth movement. And they told me that I relied too much on my throat. Watch, learn, improvise, I whispered to myself. Trying to hold my breath down, trying to constrain my lip, trying to learn from Ms. Yu to lift my voice, I thought I was improving rapidly. Though Mr. Chen still showed faces to me once in a while, I got many comments, positive ones, mostly from my roomie Driver Ma, his girlfriend to be and our choir monitor.
When I was told by Chen in a low voice that I wouldn't be able to touch the main theme of Base in case I ruin it, I was almost going to let tears out. The little training room was so crowded as if I would have drowned in it. He will regret it, I reassured myself. But the arrangement was never taken back.
Was it all for nothing? Was it all for nothing? Was it all for nothing? I couldn't even handle a choir song completely, or I just lost the privilege to perform it wholly. 'Just leave the main theme there', all those times he was trying to teach me to sing right just flushed into my head. Every single time, it hurts.
The other day, the finale, I just told myself to do my part. Like a Sargent said once, cover your own sector, and nobody dies. Leave the main theme there, leave the disappointment there, leave my pain right there and just be myself, be expressive myself. Deep breath, posture, emotion, these I did just my best. But still, this burdens me with regret, to which I believe the remedy is not yet there to be found…


public class TimeInterval extends java.lang.Object implements java.lang.Comparable<TimeInterval>
TimeInterval
represents a single TimeInterval
within a week.
A TimeInterval
begins at a certain minute in the week, and has a duration,
measured in minutes. This class is immutable.
For now, a TimeInterval
will simply wrap a String
, it uses nothing.
| Constructor and Description |
|---|
TimeInterval(java.time.DayOfWeek dayOfWeek,
int startHour,
int startMinute,
int duration)
Constructs a new
TimeInterval with data specified in more
convenient human-oriented structure. |
TimeInterval(int start,
int duration)
Constructs a new
TimeInterval with given start minute and
duration. |
| Modifier and Type | Method and Description |
|---|---|
int |
compareEnd(TimeInterval that)
Compares the end times of this
TimeInterval with that one. |
int |
compareStart(TimeInterval that)
Compares the start times of this
TimeInterval with that one. |
int |
compareTo(TimeInterval that) |
boolean |
equals(java.lang.Object obj)
This method is a override for
Object.equals(Object) . |
int |
getDuration()
A getter to get the duration of this
TimeInterval , in minutes. |
java.time.DayOfWeek |
getEndDayOfWeek()
A getter to get the day of the week of the end time of this
TimeInterval . |
int |
getEndHourOfDay()
A getter to get the hour of the day in which this
TimeInterval ends. |
int |
getEndMinuteOfHour()
A getter to get the minute of the hour in which this
TimeInterval ends. |
int |
getEndTime()
A getter to get the end time, represented as the number of minutes since
midnight of Monday in the starting week.
|
java.time.DayOfWeek |
getStartDayOfWeek()
A getter to get the day of the week of the start time of this
TimeInterval . |
int |
getStartHourOfDay()
A getter to get the hour of the day in which this
TimeInterval begins. |
int |
getStartMinuteOfHour()
A getter to get the minute of the hour in which this
TimeInterval begins. |
int |
getStartTime()
A getter to get the start time, represented as the number of minutes
since midnight of Monday.
|
int |
hashCode()
This method is a override for
Object.hashCode() . |
int |
minutesAfter(TimeInterval that)
Computes the number of minutes between the end of that
TimeInterval and
the beginning of this one. |
void |
setDayOfWeek(java.lang.String arg)
Deprecated.
|
static java.lang.String |
shortName(java.time.DayOfWeek day)
This is a static method to return the abbreviate of the day of week.
|
java.lang.String |
timeString()
Returns a human-readable representation of the
TimeInterval without
the day of the week, in the form "HH:MM–HH:MM". |
java.lang.String |
toString()
Returns a human-readable representation of this
TimeInterval ,
in the form "DayOfWeek hh:mm - hh:mm", with a possible appendage if
the end time is the next day. |
public TimeInterval(int start, int duration)
TimeInterval
with given start minute and
duration.start
- the minute of the week at which this TimeInterval
begins, an integer in the range [0,10080). 0
represents Monday at midnight.duration
- the duration of this TimeInterval
, measured in
minutes, an integer in the range [0,1440].public TimeInterval(java.time.DayOfWeek dayOfWeek, int startHour, int startMinute, int duration)
TimeInterval
with data specified in more
convenient human-oriented structure.dayOfWeek
- the day of the week in which the TimeInterval
begins.startHour
- the hour of the day in which the TimeInterval
begins, an integer in the range [0,24).startMinute
- the minute of the hour in which the TimeInterval
begins, an integer in the range [0,60).duration
- the duration of the TimeInterval
, in minutes, an
interval in the range [0,1440].public static java.lang.String shortName(java.time.DayOfWeek day)
day
- a enum value imported from DayOfWeek
,
representing the seven days in one week.public int getStartTime()
public java.time.DayOfWeek getStartDayOfWeek()
TimeInterval
.TimeInterval
starts.public int getStartHourOfDay()
TimeInterval
begins.
This is an integer in the range [0,23]. 0 represents midnight, 1 is 1:00 AM, etc.TimeInterval
begins.public int getStartMinuteOfHour()
TimeInterval
begins.
This is an integer in range [0,59].public int getDuration()
TimeInterval
, in minutes.public int getEndTime()
public java.time.DayOfWeek getEndDayOfWeek()
TimeInterval
.TimeInterval
end.public int getEndHourOfDay()
TimeInterval
ends.
This is an integer in the range [0,23]. 0 represents midnight, 1 is 1:00 AM, etc.TimeInterval
ends.public int getEndMinuteOfHour()
TimeInterval
ends.
This is an integer in range [0,59].public int minutesAfter(TimeInterval that)
TimeInterval
and
the beginning of this one. This assumes that the TimeInterval
s are
repeated every week, infinitely into the past and future, so that this
difference is always defined.that
- another (non-null
) TimeInterval
.TimeInterval
and
the beginning of the next occurrence of this TimeInterval
;
always a non-negative integer.public int compareStart(TimeInterval that)
TimeInterval
with that one.
Returns -1, 0, or 1 depending on whether this starts earlier, same time,
or later than thatthat
- another non-null
TimeInterval
.public int compareEnd(TimeInterval that)
TimeInterval
with that one.
Returns -1, 0, or 1 depending on whether this ends earlier, same time, or
later than that.that
- another non-null
TimeInterval
.public java.lang.String timeString()
TimeInterval
without
the day of the week, in the form "HH:MM–HH:MM".TimeInterval
without day of week.@Deprecated public void setDayOfWeek(java.lang.String arg)
DayOfWeek
, not a string.arg
- string representation of day.public java.lang.String toString()
TimeInterval
,
in the form "DayOfWeek hh:mm - hh:mm", with a possible appendage if
the end time is the next day.toString
in class java.lang.Object
TimeInterval
.public boolean equals(java.lang.Object obj)
Object.equals(Object)
.equals
in class java.lang.Object
public int hashCode()
Object.hashCode()
.hashCode
in class java.lang.Object
public int compareTo(TimeInterval that)
The order is determined by first comparing start times. If start times are equal, the end times are used to break the tie.
compareTo
in interface java.lang.Comparable<TimeInterval>


Notebooks
Story: A fragment of the story of the early morning
A fragment of the story of the early morning
Title
A fragment of the story of the early morning
Collection
Summary
One person not to stand over another in the early morning. By ≠girri-sse (L VII.-1. 6045 and 6046). A fragment of the account of what happens when one stands in the early morning.
Comments
1) This story is found in Book VII-1
Contributors
Date
November 1875
Categories
Keywords
morning (early morning) , morning (the story of) , morning (its doings) , morning (prohibitions relating to) , morning (the consequences of standing at) , morning (avoidance behaviour relating to) , morning (actions at) , morning (teachings about) , morning (and falling down) , morning (standing or sitting down at) , morning (customs relating to) , teaching (about the early morning and its doings) , education (about the early morning and its doings) , standing (consequences of, in the early morning) , standing (over another in the morning)
Story Pages
6045-6046


Click on the OFFER A RIDE button on home tab and submit the form to share a ride
Click on the FIND A RIDE button on home tab and submit the find the desired ride
Goto the sidemenu and click on the PROFILE option to check your profile details and click the top right option to edit the profile
You can share your trip details by visting MY TRIPS page and click on the button provided for each specific trip
You can share your trip on INSTAGRAM, FACEBOOK AND WHATSAPP
NO, you can't update your trip details.However you can delete your trip on MY TRIPS Page and then recreate your trip on SHARE A RIDE PAGE
CHANNELS are used to send update to ride seekers who are intersted in taking a ride with you. Ride Seekers can also ask their queries regarding to the trip on the channel created by ride owner
You can simply send a message to the user by clicking on the message button in FIND A RIDE page and accordingly the owner will get
updated
OR
You can simply inform the owner by messaging him via his channel
We are working on the payment system as of now you can ask the owner how to send the payment via the channel created by him


King
This page contains an index of all the individuals in the database with the surname of King. Selecting the person’s name will take you to that person’s individual page.
| Given Name | Birth | Death | Partner | Parents |
|---|---|---|---|---|
| Anna Maria | Macarthur, Hannibal Hawkins | |||
| Arthur Arndell | c1936 | Renehan, Patricia | King, Arthur Henry Sylvester Oram, Lottie Elizabeth Irene | |
| Arthur Henry Sylvester | about 1885 | 1959-09-14 | Oram, Lottie Elizabeth Irene | |
| Betty Pauline | c1927 | 1994-05-09 | Marshall, Arthur Samuel | King, Arthur Henry Sylvester Oram, Lottie Elizabeth Irene |
| Dawn Irene | Renehan, Terence | King, Arthur Henry Sylvester Oram, Lottie Elizabeth Irene | ||
| Ernest H. | Wood, Mary A. E. | |||
| Henry George | Thompson, Nancy | |||
| Leonard Charles | 1898 | 1957-06-29 | Perry, Hope Hopetoun | King, Henry George Thompson, Nancy |
| Lorna Jean | c1932 | 1974-10-25 | Davies, Frederick James | King, Arthur Henry Sylvester Oram, Lottie Elizabeth Irene |
| Madeline Elizabeth | Sullivan, Augustine James | |||
| Mary | Braithwaite, Daniel | |||
| Ruth Shirley | c1930 | Black, Kenneth Alexander | King, Arthur Henry Sylvester Oram, Lottie Elizabeth Irene | |
| [Living] | Gerrard, [Living] | |||
| [Living] | King, Leonard Charles Perry, Hope Hopetoun |


Deepika Padukone sparks pregnancy rumours after posting baby pics on Instagram
by Entertainment DeskNow, we all know Deepika Padukone enjoys a massive social media following – over 40 million fans and followers, to be exact. And of late, her Instagram has been abuzz, more so than ever before.
Tagging her latest upload as ‘post-Diwali celebrations,’ the Mrs Ranveer Singh shared a few baby postcards, leaving everyone wondering if that was her in the pictures. But a few users took the guessing game to a different level and started speculating that Padukone may actually be pregnant herself.
The comments on the share ranged from “baby on the cards” to “congratulations are in order”, with the profile getting flooded with talks of a possible pregnancy.
On the work front, Padukone will soon be seen in Chhapaak, wherein she essays the role of an acid attack survivor. The film is scheduled to hit the screens on January 10 next year and will clash at the box office with period drama Tanhaji – The Unsung Warrior.
The Bollywood beauty also recently announced that she will play the powerful female character of Draupadi in Mahabharat, which she will be co-producing. The film will be made as a franchise, the first part of which will hit the big screens on Diwali 2021.
“I’m absolutely thrilled and honoured to be essaying the role of Draupadi. I truly believe that it is the role of a lifetime,” she said, in a statement to Mumbai Mirror.