2158 Capstone Project Reports and Posters
Data Management
Anirudh Narayan: An Analysis of an Improved Distributed Cache
ALANKRITHA YATA: Data Extractions and Visualization Application for e-NABLE Google+ Community
Advisor: Dr. Chris Homan
Report -=- Poster
SAGARIKA DEBBURMAN: Comparison of RBAC Implementations in Open Source Databases
Advisor: Dr. Rajendra K. Raj
Report -=- Poster
Saksham Gupta: Lineage Patterns in Online 3D Prosthetic Design Repositories
Advisor: Dr. Chris Homan
Report -=- Poster
Distributed Systems
PAVANKUMAR PALLERLA: Improving Cooperative Caching Using Importance Aware Bloom Filter
Suman Bharadwaj Subash: iQdep: Integrated Query,Data and Event Processing
Advisor: Dr. Peizhao Hu
Report -=- Poster
Utkarsh Bhatia: WHERENEXT: Human Mobility Modeling based on Hotspots
Advisor: Dr. Peizhao Hu
Report -=- Poster 1. Prize Best Poster Award
Intelligent Systems
BHARAT JANGIR: IOS-ROS Interface
MICHAEL JAMES POTTER: Quadratic Residues and Machine Learning
Advisor: Dr. Leon Reznik
Report -=- Poster 2. Prize Best Poster Award
Languages and Tools
Manu Menon: Replacement Algorithms in Cooperative Caching
Security
Sarada Mantha: BLAC Implementation on different Use cases in Healthcare systems
Theory
Kranthi Chandra: Variants of Longest Common Subsequence Problem Student: Kranthi Chandra | Advisor: Professor Stanisław Radziszowski
Have a nice day.
Comments: Hans-Peter Bischof


Basic Concepts of Machine Learning
Following concepts are basic and fundamental of machine learning.
Following concepts are basic and fundamental of machine learning.
In SVM we have discussed following points.
We have discussed following points in regression.
We have discussed following points in Decision Tree.
In these we frequently use Top Down Approach
We have discussed following concepts in ensembling
Need of Dimension Reduction
Types of performance metrics in data mining


Extends but no section, renders incorrectly (at the top of the file, intead of at the `yield` directive).
MAIN LAYOUT


See: Description
| Class | Description |
|---|---|
| Almgren2003 |
Almgren2003 holds the JUnit Code Coverage Tests for the Almgren2003 Execution Module.
|
| Almgren2009 |
Almgren2009 holds the JUnit Code Coverage Tests for the Almgren2009 Execution Module.
|
| Almgren2012 |
Almgren2012 holds the JUnit Code Coverage Tests for the Almgren2012 Execution Module.
|
| AlmgrenChriss |
AlmgrenChriss holds the JUnit Code Coverage Tests for the Almgren Chriss Execution Module.
|
| ATHL |
ATHL holds the JUnit Code Coverage Tests for the ATHL Execution Module.
|
| Execution |
Execution holds the JUnit Code Coverage Tests for the Almgren Chriss (2000) Execution Module.
|
| LVaR |
LVaR holds the JUnit Code Coverage Tests for the LVaR Execution Module.
|
| Principal |
Principal holds the JUnit Code Coverage Tests for the Principal Execution Module.
|
| Trend |
Trend holds the JUnit Code Coverage Tests for the Bayesian Trend Execution Module.
|


Honni is the peer to peer local produce finder
How to use Honni
Mission
Honni connects consumers and buyers with farmers, growers, and sellers. The health-conscious consumer selects any produce they are looking for, and our site immediately locates farmers and backyard growers within a certain radius which sell exactly what the buyer wants.
Modeled off of Uber and Airbnb, Honni is a peer-to-peer service, meaning even a small time community-gardener can sell their produce through the app once they get verified.
Modeled off of Uber and Airbnb, Honni is a peer-to-peer service, meaning even a small time community-gardener can sell their produce through the app once they get verified.


What is Weather?
Weather is basically the way the atmosphere is behaving, mainly with respect to its effects upon life and human activities. The difference between weather and climate is that weather consists of the short-term (minutes to months) changes in the atmoshpere. Most people think of weather in terms of temperature, humidity, precipitation, cloudiness, brightness, visibility, wind, and atmospheric pressure, as in high and low pressures.
In most places, weather can change from minute-to-minute, hour-to-hour, day-to-day, and season-to-season. Climate, however, is the average of weather over time and space. An easy way to remember the difference is that climate is what you expect, like a very hit summer, and weather is what you get, like a hot day with pop-up thunderstorms.
What Makes Up the Weather?
There are really a lot of components to weather. Weather includes sunshine, rain, cloud cover, winds, hail, snow, sleet, freezing rain, flooding, blizzards, ice storms, thunderstorms, steady rains from a cold front or warm front, excessive heat, heat waves, and more.
In order to help people be prepared to face all of these, the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS), the lead forecasting outlet for the nation's weather, has over 25 different types of warnings, statements or watches that they issue. Some of the reports NWS issues are: Flash Flood Watches and Warnings, Severe Thunderstorm Watches and Warnings, Blizzard Warnings, Snow Advisories, Winter Storm Watches and Warnings, Dense Fog Advisiory, Fire Weather Watch, Tornado Watches and Warnings, Hurricane Watches and Warnings. They also provide Special Weather Statements and Short and Long Term Forecasts.
NWS also issues a lot of notices concerning marine weather for boaters and other who dwell or are staying near shorelines. They include: Coastal Flood Watches and Warnings, Flood Watches and Warnings, High Wind Warnings, Wind Advisiories, Gale Warnings, High Surf Advisiories, Heavy Freezing Spray Warnings, Small Craft Advisiories, Marine Weather Statements, Freezing Fog Advisiories, Coastal Flood Watches, Flood Statements, Coastal Flood Statement.
What is Climate?
In short, climate is the description of the long-term pattern of weather in a particular area.
Some scientists define climate as the average weather for a particular region and time period, usually taken over 30-years. It's really an average pattern of weather for a particular region.
When scientists talk about climate, they're looking at averages of precipitation, temperature, humidity, sunshine, wind velocity, phenomena such as fog, frost, and hail storms, and other measures of the weather that occur over a long period in a particular place.
For example, after looking at rain gauge data, lake and reservoir levels, and satellite data, scientists can tell if during a summer, an area was drier than average. If it continues to be drier than normal over the course of many summers, than it would likely indicate a change in the climate.
Why Study Climate?
The reason studying climate and a changing climate is important, is that will affect people around the world. Rising global temperatures are expected to raise sea levels, and change precipitation and other local climate conditions. Changing regional climate could alter forests, crop yields, and water supplies. It could also affect human health, animals, and many types of ecosystems. Deserts may expand into existing rangelands, and features of some of our National Parks and National Forests may be permanently altered.
The National Academy of Sciences, a lead scientific body in the U.S., determined that the Earth's surface temperature has risen by about 1 degree Fahrenheit in the past century, with accelerated warming during the past two decades. There is new and stronger evidence that most of the warming over the last 50 years is attributable to human activities. Yet, there is still some debate about the role of natural cycles and processes.
Human activities have altered the chemical composition of the atmosphere through the buildup of greenhouse gases – primarily carbon dioxide, methane, and nitrous oxide. The heat-trapping property of these gases is undisputed although uncertanties exist about exactly how Earth's climate responds to them. According to the U.S. Climate Change Science Program (http://www.climatescience.gov), factors such as aerosols, land use change and others may play important roles in climate change, but their influence is highly uncertain at the present time.
References
"What's The Difference Between Weather And Climate?". NASA. N.p., 2017. Web. 8 May 2017.


| Application version | 1.0 |
| Trad4 version | 3.2 |
| Document version | 1.0 |
| Author | schevans |
| Date | 26-06-2010 |
This is a concurrent model of the discrete Fourier transform. This allows us to decompose a particular sample into it's component frequencies. It's the inverse of additive_synth, and their interaction is shown below.
The principal of the discrete Fourier transform is that, given the base frequency of the sample, we calculate the amplitude of each harmonic using a process called correlation in a way that allows us to reconstruct the sample using additive synthesis.
The way each harmonic is tested for correlation is that a pure sine wave of the frequency of that harmonic is multiplied by the sample we're analysing. This is not particularly intuitive so for further reading please see Steven W. Smith's excellent DSP book, available for free online and in all good bookshops. Correlation is described here, but you should probably also read most of Chapter 8.
We have, form the bottom, the source object into which, then the correlator, lastly the monitor which writes out the frequencies domain report.
From the above diagram we can see how the correlators run concurrently. Each correlator is tasked with finding the correlation to a specific harmonic. The first correlator looks for the base frequency f1 (the frequency of the underlying sample). The next correlator looks for f2 - twice the base frequency, and so on.
We start with analysing samples from additive_synth. The advantage here is we know how they were synthesised, so we can compare the results of the transform with the inputs to the synthesiser.
When a sine wave such as sine_f1_h16.wav from additive_synth is run through the transform, we see that is is composed of a singe wave of the fundamental frequency as expected:
Recall the square wave from additive_synth was given by:
if ( id % 2 != 0 ) // Is odd id level = 1.0 / id; else // Is even id level = 0.0;
Which gives:
| id | correlation |
| 1 | 1.0 |
| 2 | 0.0 |
| 3 | 0.333 |
| 4 | 0.0 |
| 5 | 0.2 |
| 6 | 0.0 |
| 7 | 0.111 |
| ... | ... |
And this is what we see when the square wave is analysed:
Likewise the triangle wave, which is given by:
if ( id % 2 != 0 ) // Is odd id level = pow( -1.0, ( id - 1 ) / 2 ) * ( 1.0 / (id*id) ); else // Is even id level = 0.0;
Which gives:
| id | correlation |
| 1 | 1.0 |
| 2 | 0.0 |
| 3 | -0.1111 |
| 4 | 0.0 |
| 5 | 0.04 |
| 6 | 0.0 |
| 7 | -0.204 |
| ... | ... |
Which is again what we see when the sample is analysed:
Up until now we've been analysing output samples from additive_synth where we know their composition. In this next example we're going to analyse a sample from a Yamaha CS1x.
We're first going to analyse the samples, then we're then going to plug the resultant frequency domain report back into additive_synth and see if we can re-synthesise the sample.
When discussing the original samples below two are included, a recording a few seconds long of the original sample and a short "_single" version which just contains a single cycle of the waveform. These can be quite different, for example if the original sample had a low frequency oscillator applied (LFO), this causes a warble in the sound which won't be captured by listening to the single waveform.
These single waveforms are very short audio files, so when you open them in an editor like Audacity you may not see or hear anything. So see anything zoom in on the start of the file. To hear anything play the waveform in a loop, which is done in Audacity by holding down Shift when clicking Play.
The first CS1x sample we'll analyse is Clarinet. The original full length sample is here, and the single waveform here. It looks like this:
The synthetic sample is available here.
From this we can see it's pretty close. So why aren't they closer? The likely answer is that the original sample contains some phase-shifted components which we would pick up if we were looking for cosine correlation, but we are only looking for correlation with the main sinusoidal components (because they make up the bulk of an audible tone). Scope for further work here.
The next CS1x sample we'll analyse is ChrchOrg. The original full length sample is here, and the single waveform here. It looks like this:
The frequency domain report is shown below.
The synthetic sample is available here.
This is also close, and sounds pretty similar too.
To run the application:
1) Download and unpack the distribution
2) cd into trad4_v3_2/fourier_transform:
3) Source fourier_transform.conf:$ cd trad4_v3_2/fourier_transform
4) Start fourier_transform:fourier_transform$ . ./fourier_transform.conf
fourier_transform$ fourier_transform
To increase or decrease the number of threads used (the default is 4), set NUM_THREADS and re-start the application:
$ export NUM_THREADS=64 $ fourier_transform
To load a different waveform use the load_waveform command, with the two arguments being the waveform.wav file and the fundamental frequency of the sample you want analysed, which you must know in advance. E.g:
fourier_transform$ load_waveform.pl input/sine_f1_h16.wav 1.0
Or (where 261.626Hz equals middle C):
fourier_transform$ load_waveform.pl input/hammond_888000000.wav 261.626
This can be done while fourier_transform is running, i.e. when the environment variable BATCH_MODE is unset.


Care-a-Lot Friend Finder Survey
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Use LESS Mixin
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Lacing it up!


{% extends "_post.html" %}
{% hyde
title: "Mercurial Workflows: Translation Branches"
snip: "Uncommon but useful."
created: 2010-06-11 08:15:00
flattr: true
%}
{% block article_class %}with-diagrams{% endblock %}
{% block article %}
This entry is the third in my series describing various [Mercurial][] workflows.
The [first][branch-as-needed] describes the simplest one: branching only when
necessary, and the [second][default-and-stable] describes the classic "default
and stable" workflow.
I've been experimenting with another workflow lately and it's proven itself to
be pretty useful, so I wanted to write about it.
[Mercurial]: {{ links.mercurial }}
[branch-as-needed]: /blog/2010/02/mercurial-workflows-branch-as-needed/
[default-and-stable]: /blog/2010/05/mercurial-workflows-stable-default/
[TOC]
A Real Example
--------------
I created the [hgtip.com][] site a while back as a resource for all those tiny
little tips that make working with Mercurial easier. People seemed to like it
and eventually there was some interest in translating the site to other
languages.
The site itself is a collection of flat files that are run through [Hyde][] to
generate a set of static HTML pages. The content of the site is held in
a [subrepo][] which people can clone to contribute without worrying about the
site's structure.
When coming up with a strategy for managing translations I had the following
requirements:
* Translations need to be version controlled. Version control is extremely
helpful, so we need to use it.
* Contributing translations should be (almost) as easy as contributing to the
main site. I didn't want it to be much more work than a simple clone, commit,
push.
* I make typos when creating tips, and sometimes people comment with ideas
I hadn't thought of, which I then add to the tips. When the main (English)
version of a tip is updated it needs to be easy for translators to see
exactly what changed so they can update their translations.
After thinking about the problem for a while I settled on using Mercurial's
named branches to manage translations.
[hgtip.com]: http://hgtip.com/
[Hyde]: {{ links.hyde }}
[subrepo]: http://mercurial.selenic.com/wiki/subrepos
Branch Structure
----------------
For the content of hgtip I (currently) have three branches: `default`, `ja`,
and `de`.
`default` contains the English version of the tips, while `ja` and `de` contain
the Japanese and German translations.
As other people translate the existing tips they commit to the appropriate
branch. When I publish the site to the server I can easily update to each
branch to render the content, one at a time.
When I add new tips I commit them to the `default` branch and merge `default`
into all the translation branches. This adds the new file to the translation
branches so it gets rendered (in English) on the other versions of the site.
When a translator is ready to translate any new tips, they can run `hg log -b
THEIRBRANCH` to see what's been merged into the branch and find the tips they
need to translate.
Here's a diagram to help explain what's going on. As new tips are added they
get merged into the translation branches. When a translator has time to
translate a tip, they commit to their branch.
![Translation Branching Diagram](/media/images{{ parent_url }}/translation-branches.png "Translation Branches")
Linebreaks
----------
There's one small issue that arises with a workflow like this, and it happens
when I fix a typo (or add an update) in an existing tip.
If I fix a typo in `beginner/sometip.html`, it will cause a merge conflict when
someone tries to merge it into a translation branch. This is generally a good
thing because it shows the translator where the change was. They can then fix
the conflict by changing the translation, commit, and everything works.
The tricky part is that Mercurial will only show line-by-line diffs. If each
paragraph of a tip is a single line, Mercurial will only tell you the paragraph
that changed. For large paragraphs this is annoying because you need to figure
out by hand exactly which word was modified.
To avoid this I always make sure that lines are hard-wrapped with linebreaks.
You can do this easily by pressing `Ctrl-Q` in TextMate or using `gqip` in vim.
I'm sure Emacs has an equivalent as well.
This doesn't affect the output because hgtip uses [Markdown][] and Markdown
ignores single linebreaks. If you're using another markup language this might
be a bigger problem for you than it is for me.
[Markdown]: {{ links.markdown }}
A Work in Progress
------------------
This is the first time I've ever used this branching structure and I haven't
hear about other people using it. I'm sure there are some tricks that might
make things smoother, so if you have any advice I'd love to hear it!
{% endblock %}


Jamie Sutherland, President of US Opporation at Xero talks about how the New Zealand accounting company is taking center stage.
Pop17's Mateo Fowler joins Tracy Lee, founder of Dishcrawl, and Connie Chang, of Gogobot, for a night of food adventures and Gangnam style flash mobs in the Oakland, California.


Now there is a rapidly growing community, the Visual Studio Ecosystem behind Visual Studio. With any idea, imaginings, issues, or questions, you can turn to other community members and leverage the knowledge they have. Welcome to the world of VSX!
Motivation
As a .NET architect and developer I cannot imagine my everyday work without Visual Studio. I was always in a strange excitement when waiting for a new CTP, Beta or RTM of Visual Studio because I always expected some great new features with every release. During the years I have bought a few third-party add-ins and utilities for Visual Studio to make my development tasks easier and even created small add-ins to produce some useful piece of code. I knew that Visual Studio was extensible; I downloaded the SDKs and tried to get familiar with those hundreds of extensibility interfaces. However, due to lack of good documentation I often got frustrated.
Visual Studio: Extensible Platform
Hearing the word "extensibility" a developer always starts to think " some API allowing extra functionality to be added to a product". More or less, I can agree with this definition in the case of Visual Studio. In this part I tell you how I understand Visual Studio extensibility, and what are the ways we can add functionality. Because I started learning this story with the release of Visual Studio 2008, I put the focus on that version.
Summary
Pellentesque porttitor, libero eu mattis pulvinar, urna dui scelerisque sapien, vitae varius sapien urna at odio. Fusce vel neque non massa varius mattis ut nec.


Search for any of the listed categories to view the photos
Browse through high quality travel destinations photos
Browse through high quality car photos
Browse through high quality fitness photos
Browse through high quality food photos.
Browse through high quality nature photos
Browse through high quality fashion photos


When you join a room, you are given a public key and a private key. When your partner joins
your room your public keys are exchanged automatically. Whenever you send a message, it is encrypted using
your partner's public key. This means it can only be decrypted using the corresponding private key. When
your partner sends a message, it is encrypted using your public key. When you recieve it, the message is
decrypted with your private key. This ensures no third-parties have access to the messages sent. All anyone
(besides whoever has the private key) can see is a scrambled and undecipherable mess. We can't even decrypt
your message as we don't have you or your partner's private keys!
Image
explaination


Loading the Default Template
How to restore any of the five default templates that defines the content, layout and style of the announcements within an Announcements module.
-
- Select the Announcements Settings tab.
- Click the Load Default link beside the required template. This displays the message "Are you sure? This will overwrite the existing template."
- Click the OK button to confirm.


This test uses post method to send http request:
If you click the "Submit" button, you will send your input to a new page called testHttp_post.aspx.


One of the most common questions developers get when it comes to geography is "Can you tell me what (census tract, county, congressional district) my point is in?" For the most common geographies, there ARE basic text-based "lookups" for that type of query. But it's not always that straightforward, and often what you want is a "Point in Polygon" query. In other words, given a point - represented by coordinates such as lat/long or x/y, tell me which "area" it falls in. When it comes to really irregular areas such as watersheds (or some heinously gerrymandered congressional districts), this question is not so easy to answer. But if you have a REST endpoint that defines those areas, you can perform a "spatial query" to get the answer relatively easily.
The marker in the map below will stay in the center of the map. As you pan the map across county boundaries, it'll query the county layer in the overlaid map service and give you some results here:


Get to know me !
Something I like to do in my free time is explore different APIs that would help with geo-spatial web app development.
Below, you can see a video I made for my research about a open source javascript library called Leaflet.js
Below is my contact information :)
email<EMAIL_ADDRESS>phone: (385)-(207)-3106
github - abu1995


Machine Learning for Kids uses Scratch 2. Scratch needs Adobe Flash to work, so you need to be using an operating system and a web browser that can work with Flash (so that means no iPads for now, sorry).
If you're not sure about how to enable Flash, you can download a document with some tips for getting Scratch working.
If you're using Safari on macOS and the Scratch menus "File -> Load Project" and "File -> Save Project" menus aren't working, it might be that you're running in Safe Mode.
Follow the instructions here for how to check and fix this.
Occassionally, the Scratch blocks for your machine learning model can lose the connection to the server. When this happens, they will stop returning results.
You can check whether this has happened using the coloured status light in the "More Blocks" palette.
If the status light next to your machine learning Scratch blocks is red, that normally means something is wrong. It might be a temporary problem. Try saving your project (using 'File' -> 'Save Project'), then refresh the browser page. If the status light goes green after the page reloads, you can load your project (using 'File' -> 'Load Project') to pick up where you left off.
If the status light is still red after reloading the page, then there is probably something wrong with the machine learning model. Try going to the "Learn & Test" page for the project, which is where any error messages about your model can be found.
If the status light next to your machine learning Scratch blocks is green, then the blocks should be working. If you're not getting the responses you expect from them, try going to the "Learn & Test" page and checking what results your model returns.
Machine Learning for Kids uses Scratch 2. Scratch needs Adobe Flash to work, so you need to be using an operating system and a web browser that can work with Flash (so that means no iPads for now, sorry).
Scratch 3 is under development, and will remove the need for Adobe Flash. Once this is released, I hope that this will allow projects to be worked on from tablets like iPads. I'm not sure when this will be, though.
Dragging images into the training buckets doesn't work if you're using Safari or Internet Explorer.
Sorry about this. If you can use another browser like Firefox or Chrome, please do that. Otherwise, you can click the "www" button and paste in the URL of training pictures instead.
Machine learning models in the tool are created using IBM Watson APIs.
If you have an "unmanaged" class account, then your teacher or group leader will need to provide Watson API credentials from IBM Cloud for this to work. Step-by-step instructions for how they can do this are in the "Getting Started" document at the top of this page.
Machine learning models in the tool are created using IBM Watson APIs.
Watson Assistant (formerly Watson Conversation) credentials created by teachers have a limit on the number of machine learning models that they can be used to create. This is displayed in the IBM Cloud UI where the credentials were created, where they are called "workspaces".
If this limit is exceeded, attempts to train new machine learning models will fail, and this message will be displayed:
Your class already has created their maximum allowed number of models. Please let your teacher or group leader know that their "Watson Assistant API keys have no more workspaces available".
If a student who has a successfully trained model then deletes their model, this will free up a workspace for use by another student.
One way to avoid this error in future would be smaller class sizes. If there are fewer students than the number of workspaces supported by the Watson Assistant (formerly Conversation) credentials, then the limits will not be hit.
Another way to avoid this error is to add additional Watson Assistant API keys to the class, or to use a Watson Assistant instance "plan" that has higher limits.
Machine learning models in the tool are created using IBM Watson APIs.
Watson Visual Recognition credentials created by teachers have a limit on the number of machine learning models that they can be used to create. This is displayed in the IBM Cloud UI where the credentials were created, where they are called "custom classifiers".
If this limit is exceeded, attempts to train new machine learning models will fail, and this message will be displayed:
Your class already has created their maximum allowed number of models. Please let your teacher or group leader know that their "Watson Visual Recognition API keys have no more classifiers available".
If a student who has a successfully trained model then deletes their model, this will free up a custom classifier for use by another student.
One way to avoid this error in future would be smaller class sizes. If there are fewer students than the number of custom classifiers supported by the Watson Visual Recognition credentials, then the limits will not be hit.
Another way to avoid this error is to add additional Watson Visual Recognition API keys to the class, or to use a Watson Visual Recognition instance "plan" that has higher limits.
Machine learning models in the tool are created using IBM Watson APIs.
If you have an "unmanaged" class account, then your teacher or group leader will need to provide Watson API credentials from IBM Cloud for this to work.
If free accounts are created, they will apply a limit on the rate of requests for new machine learning models. In normal usage, this will not impact the class. However, if students get a "no more workspaces available" or "no more classifiers available" error (as described above) but then continue to click the "Train new Machine Learning model" button multiple times per second, for several minutes, then the rate limiting will apply.
A message like this will be displayed to students in this case:
Your class is making too many requests to create machine learning models at too fast a rate. Please stop now and let your teacher or group leader know that "the Watson Assistant service is currently rate limiting their API key"
The rate limiting isn't applied by, or under the control of, the Machine Learning for Kids site. It is usually temporary, and is best resolved by waiting for a short time.
If students are clicking the "Train new Machine Learning model" button and getting "no more workspaces available" or "no more classifiers available" errors (as described above), then they should be aware that repeatedly clicking the button will not resolve the issue, and will in fact make the situation worse for the rest of the class.
Try refreshing the page.
The page should check on the status of the machine learning model every 30 seconds, but very occassionally it stops checking, so you might be waiting for the model when it is actually ready for you.
If it's been more than a few minutes, it's worth checking by refreshing / reloading the page.
If it's been more than ten minutes, it might be worth considering restarting (click the Cancel button and then click the button to train a new machine learning model again).
The Teacher's page shows the number of machine learning models available to your class. (This page is only accessible to teachers or group leaders). This value is calculated by taking the number of API keys / credentials that the teacher has created, and multiplying it by the number of machine learning models that can be created with a single API key.
Unfortunately, this can be misleading. The value is based on assumptions about which Pricing Plan were used when creating API keys.
For text projects, the assumption is that "Standard Plan" will be used for creating Watson Assistant (formerly Watson Conversation) credentials, as this supports 20 "workspaces". The teacher's page multiplies the number of Watson Assistant credentials by 20 when displaying
"Your class is allowed to have up to ?? machine learning models in total across all their text projects."
The "Lite Plan" supports only 5 "workspaces", so if any of the Watson Assistant credentials were created in the Lite pricing plan, then this means the actual limit will be less than displayed on the Teacher's page.
For images projects, the assumption is that "Lite Plan" will be used for creating Watson Visual Recognition API keys, as this supports 1 "custom model". The teacher's page multiplies the number of Watson Visual Recognition API keys by 1 when displaying
"Your class is allowed to have up to ?? machine learning models in total across all their images projects."
The "Standard Plan" doesn't have a limit on the number of custom models, so if any of the Watson Visual Recognition API keys were created with the Standard pricing plan, this means there isn't actually a limit on the number of machine learning models for images projects, despite what is shown on the Teacher's page.
Sorry for any confusion that this page causes. I will be updating the Teacher's admin page so it asks for the Pricing Plan for each set of credentials or API keys, so that I can do the appropriate multiplication in the UI.
In the meantime, the correct limit is whatever is shown on IBM Cloud where the credentials are created. More detailed information about all of this can be found in this PDF document about using Watson API keys with Machine Learning for Kids.
If you're not sure how to work out the limit for your class, please let me know and I'll try and help.
User management for Machine Learning for Kids is implemented using the third party service, Auth0.
Occassionally, the list of students that Auth0 returns can get a little out of date, and fail to reflect students that have recently been created (or similarly, still show students that have been recently deleted).
In these instances, the students have normally been successfully created (or deleted) and it is just that the list of students being displayed doesn't reflect recent updates.
Auth0 will normally report such incidents on their status page as user indexing delays or problems with their Search API.
The best thing to do in these cases is to wait for the Auth0 indexing to catch up.
In March 2018, the "Watson Conversation" service was renamed to "Watson Assistant". Any previous references to "Conversation" can be read as "Assistant" now. Any Watson Conversation service instances or credentials created prior to this point can continue to be used as equivalent to Watson Assistant.
Machine Learning for Kids is set up to use a username and password to connect to Watson Assistant APIs. But if you create a Watson Assistant service in the Sydney region, you'll get an API key instead of a username and password.
I'm working on adding support for API keys, but in the meantime you'll need to create Watson Assistant in any of the other IBM Cloud regions which still use username/passwords.
Using "Try it now" to means there is no need to log on or create an account. There are no passwords for students to have to remember, and no need for teachers to have to provide personal information. It also saves teachers the time needed to manage student accounts.
However, creating an account does enable additional features. Students can save their work and come back to it in a later lesson. They can work on a project together with other students in their class. They can log on from home and show their family what they've made.
A summary of the differences is shown below:
| Try it now | Create an account | |
|---|---|---|
| Train machine learning models to recognise... | ||
| text | ||
| numbers | ||
| images | ||
| Use machine learning models from Scratch | ||
| Create projects | 1 project | Multiple projects |
| Save and load projects | ||
| Work on machine learning projects... | for a few hours | until you delete them |
| from one computer | anywhere online | |
| by yourself | by yourself OR with classmates |
You need to verify your email address before you'll be able to log on.
When you created the class account, an email will be sent to the email address you provided, with a link to click on. If you click on that link, your email address will be verified and the class account will be activated. You should be able to log on now.
If you haven't seen the verify email yet, make sure it's not gone into your spam folder.
If you still can't find it, let me know and I'll try and help.
Student accounts
Students cannot delete their own accounts.
A teacher can delete a student account at any time by visiting the "Teacher" page and clicking the "Delete student account" button next to the student account you want to delete.
This will delete all information stored about that student and all of their projects and machine learning models.
It cannot be undone.
Teacher accounts
Deleting a teacher account will delete the entire class and all of the student accounts in it. It cannot be undone.
This cannot be done from the UI (although I'm working on adding it - it will be there soon).
To delete a teacher account, please email me and I will do it for you.
Teacher accounts
I store the username and email address that you provide when you create the account, so that I can keep in touch with you.
Student accounts
I store the usernames for student accounts, so that I can let them log in. I have no email addresses or contact details for students. I have no other personally identifying information about students.
I also recommend that students are given generic usernames (e.g. "student1") so that students are not identifiable outside of their school or coding group.
General information stored about all accounts
User management for Machine Learning for Kids is implemented using the third party service, Auth0. They store the IP address that you last logged into Machine Learning for Kids from, and the type of browser you used. I've never found a reason to use that, but it is stored if I did want to go and look for it.
Errors that happen in the web browser are captured using the third party service, Sentry. If something goes wrong, it will capture information about the error, including your username, IP address, type of browser you were using, and a technical description of what went wrong.
I use Google Analytics so that I know how many users visit Machine Learning for Kids each day. Although it captures information such as geographic location and browser type, this is only ever displayed to me in an anonymised aggregate way.


Important
You need
Mozilla, otherwise it won't run.
We recommend Mozilla 1.6/1.8 or Mozilla Firefox 1.0 (our current testing platform) .
Mozilla 1.7 and Firebird 0.9 do not save correctly, due to a bug in the XML Serializer of Mozilla.
- Hit F7 to get a cursor
- Save doesn't work in the demo, since this is normally handled on the server by something like a CMS. Here it's just static file calls.
Examples
Documentation
Some documentation can be found at
http://wiki.bitfluxeditor.org


Indonesian media in awe of BTS’s Jungkook's unrivaled power: The Big Influence of Jungkook in the Business Industry.
by dose-nelBTSJungkook keeps grabbing Korean and international media's attention because of his immense impact on business industry. Recently Indonesian Kanal247 published an article about Jungkook's power.
The article is titled "Only Used or Mentioned: The Big Influence of Jungkook in the Business Industry."
It reads: All of the products, both fashion and food called or used by Jungkook, immediately grab the attention of fans and sell out. Although not intending to promote these products, but what is held by Jungkook immediately becomes a bestseller. Not only in Korea, fans around the world are also enthusiastic about something that is used or eaten by Jungkook.
The article also mentions that the companies whose products sell out because of Jungkook's Midas Touch end up contracting Big Hit for cooperation.
Which once again proves his impact and power, recognized by all around the world medias.


ItemContent
public protocol ItemContent
An ItemContent
is a type used to provide the content of an Item
in a list section.
A ItemContent
that displays text might look like this:
struct MyItemContent : ItemContent, Equatable
{
var text : String
var id : UUID
var identifierValue: UUID {
self.id
}
static func createReusableContentView(frame : CGRect) -> MyContentView {
MyContentView(frame: frame)
}
func apply(to views : ItemContentViews<Self>, for reason: ApplyReason, with info : ApplyItemContentInfo) {
views.content.text = self.text
}
}
If you want to add support for rendering a background view and a selected or highlighted state, you should provide
both createReusableBackgroundView
and createReusableSelectedBackgroundView
methods,
and apply the desired content in your apply(to:)
method.
The ordering of the elements by z-index is as follows:
z-index 3) ContentView
z-index 2) SelectedBackgroundView
(Only if the item supports a selectionStyle
and is selected or highlighted.)
z-index 1) BackgroundView
-
A
Hashable
type which is returned fromItemContent/identifierValue-swift.property
, which is used to identify theItemContent
when it put into a list.The
ItemContent/identifierValue-swift.property
is used to unique the item, control its lifetime, and identify it across update operations.See
ItemContent/identifierValue-swift.property
for more.Declaration
Swift
associatedtype IdentifierValue : Hashable
-
Used to unique the item, control its lifetime, and identify it across update operations.
Identifier Stability
This value must be stable. Changing the
identifier
will mean that the list will think the item has been removed from the list (and a new one inserted), which can cause undesired animations or other undesired behavior when a new view is created and inserted.struct MyItemContent : ItemContent { var identifierValue : UUID { // 🚫 Wrong; will change every time the item is accessed. UUID() } } struct MyItemContent : ItemContent { let contentID = UUID() var identifierValue : UUID { // 🚫 Also wrong, will change every time the item is built. self.contentID() } } struct MyItemContent : ItemContent { let model : Model // Conforms to Hashable var identifierValue : String { // 🚫 Wrong! This will change the value of the identifier // any time any value within our content changes. self.model } } struct MyItemContent : ItemContent { let model : Model var identifierValue : String { // 🚫 Still wrong! Same as above, but with reflection. You should // never used a reflecting or describing method to generate an identifier. String(describing/reflecting: self.model) } } struct MyItemContent : ItemContent { let model : Model var identifierValue : UUID { // ✅ Good! Stable across updates. self.model.serverID } }
Identifier stability is especially important with items that embed interactive controls, like buttons, sliders, text fields, etc. The identifier of the control should be stable and independent of the value the control is currently representing. Including the value the control is currently representing in the identifier will cause the list to repeatedly re-create the control, removing the old item and inserting the new one.
struct MySearchBarRow : ItemContent { let searchText : String var identifierValue : String { // 🚫 Wrong; identifier will change every time the search text changes. searchText } } struct MySearchBarRow : ItemContent { let searchText : String let id : String // Something like "item-search". var identifierValue : String { // ✅ Good! Stable across updates. id } }
Identifier Uniqueness
While identifiers do need to be stable, they do not need to be globally unique – the list will make a “best guess” if there are multiple items with the same identifier. However, diffing of changes will be more visually correct with a unique identifier.
If you are backing your content with some sort of client or server-provided data, consider using its server or client UUID here, or some other stable unique identifier from the underlying data model.
Generally, try to use the most stable ID you have access to. Sometimes this will be a server or client ID as mentioned above. For something without the concept of identity, consider providing a value based on what the content represents (eg, a row title like “Settings”).
struct MyItemContent : ItemContent { let model : Model var identifierValue : UUID { // 🚫 Likely wrong. If entered by the user, // there could be many items with this name, // or multiple items with no name at all, leading // to identifier collisions. self.model.name } } struct MyItemContent : ItemContent { let setting : Setting var identifierValue : UUID { // 🤔 Probably good enough! Since this item // represents a setting in a settings screen, // returning the title of the row is likely // unique enough to guarantee stability. self.setting.name // Something like "Location Services". } } struct MyItemContent : ItemContent { let model : Model var identifierValue : UUID { // ✅ Good! Very unique. self.model.serverID } }
Identifier Leverages The Type System
Your
ItemContent/identifierValue-swift.property
gets wrapped up in anIdentifier<YourItemContent, IdentifierValue>
when it used by the list to unique the item, control its lifetime, and identify it across update operations. This additional type information is used to further unique the identifier. You do not need to provide any additional type-salting and uniquing information in yourItemContent/identifierValue-swift.property
besides the value from your content.Even once the
Identifier
is type-erased toAnyIdentifier
, this type information is retained:let first : AnyIdentifier = Identifier<MyThing, String>("a-value") let second : AnyIdentifier = Identifier<MyOtherThing, String>("a-value") let isEqual = first == second // false
In practical terms, this means that your
ItemContent/identifierValue-swift.property
implementation should be:struct MyItemContent : ItemContent { let model : Model var identifierValue : String { // 🚫 Not needed: Type information will be encoded into the Identifier. "MyItemContent-\(model.serverID)" } } struct MySearchBarRow : ItemContent { let model : Model var identifierValue : searchText { // ✅ Good! No need for the string interpolation. model.serverID } }
Declaration
Swift
var identifierValue: IdentifierValue { get }
-
Used by the list to determine when the content of the item has changed; in order to remeasure the item and re-layout the list.
You should return
false
from this method when any content within your item that affects visual appearance or layout (and in particular, sizing) changes. When the list receivesfalse
back from this method, it will invalidate any cached sizing it has stored for the item, and re-measure + re-layout the content.struct MyItemContent : ItemContent, Equatable { var identifierValue : UUID var title : String var detail : String var theme : MyTheme var onTapDetail : () -> () func isEquivalent(to other : MyItemContent) -> Bool { // 🚫 Missing checks for title and detail. // If they change, they likely affect sizing, // which would result in incorrect item sizing. self.theme == other.theme } func isEquivalent(to other : MyItemContent) -> Bool { // 🚫 Missing check for theme. // If the theme changed; its likely that the device's // accessibility settings changed; dark mode was enabled, // etc. All of these can affect the appearance or sizing // of the item. self.title == other.title && self.detail == other.detail } func isEquivalent(to other : MyItemContent) -> Bool { // ✅ Checking all parameters which can affect appearance + layout. // Not checking identifierValue or onTapDetail, since they do not affect appearance + layout. self.theme == other.theme && self.title == other.title && self.detail == other.detail } } struct MyItemContent : ItemContent, Equatable { // ✅ Nothing else needed! // `Equatable` conformance provides `isEquivalent(to:) for free!` }
Note
If your
ItemContent
conforms toEquatable
, there is a default implementation of this method which simply returnsself == other
.Declaration
Swift
func isEquivalent(to other: Self) -> Bool
-
wasMoved(comparedTo:
Default implementation) Used by the list view to determine move events during an update’s diff operation.
This function should return
true
if the content’s sort changed based on the old value passed into the function. For example, if your content is sorted based on anupdatedAt
Date
parameter, you would implement this method as follows:func wasMoved(comparedTo other : MyContent) -> Bool { self.updatedAt != other.updatedAt }
Note
There is a default implementation of this method which calls
isEquivalent == false
. Unless your list has an extremely high amount of ordering churn, you should not need to implement this method.Default Implementation
Declaration
Swift
func wasMoved(comparedTo other: Self) -> Bool
-
Undocumented
Declaration
Swift
typealias DefaultProperties = DefaultItemProperties<Self>
-
defaultItemProperties
Default implementationDefault values to assign to various properties on the
Item
which wraps thisItemContent
, if those values are not passed to theItem
initializer.Default Implementation
Declaration
Swift
var defaultItemProperties: DefaultProperties { get }
-
Called when rendering the content. This is where you should push data from your content into the passed in views.
Do not retain a reference to the passed in views – they are reused by the list.
Declaration
Swift
func apply( to views : ItemContentViews<Self>, for reason: ApplyReason, with info : ApplyItemContentInfo )
-
reappliesToVisibleView
Default implementationWhen the
ItemContent
is on screen, controls how and when to apply updates to the view.Defaults to
ReappliesToVisibleView/always
.See
ReappliesToVisibleView
for a full discussion.Default Implementation
Declaration
Swift
var reappliesToVisibleView: ReappliesToVisibleView { get }
-
The view type to use to render swipe actions (delete, etc) for this content. A default implementation, which matches
UITableView
, is provided.Declaration
Swift
associatedtype SwipeActionsView : ItemContentSwipeActionsView = DefaultSwipeActionsView
-
The content view used to draw the content. The content view is drawn at the top of the view hierarchy, above the background views.
Declaration
Swift
associatedtype ContentView : UIView
-
Create and return a new content view used to render the content.
Note
Do not do configuration in this method that will be changed by your view’s theme or appearance – instead do that work in
apply(to:)
, so the appearance will be updated if the appearance of content changes.Declaration
Swift
static func createReusableContentView(frame: CGRect) -> ContentView
-
The background view used to draw the background of the content. The background view is drawn below the content view.
Note
Defaults to a
UIView
with no drawn appearance or state. You do not need to provide thistypealias
unless you would like to draw a background view.Declaration
Swift
associatedtype BackgroundView : UIView = UIView
-
Create and return a new background view used to render the content’s background.
Note
Do not do configuration in this method that will be changed by your view’s theme or appearance – instead do that work in
apply(to:)
, so the appearance will be updated if the appearance of content changes.Declaration
Swift
static func createReusableBackgroundView(frame: CGRect) -> BackgroundView
-
The selected background view used to draw the background of the content when it is selected or highlighted. The selected background view is drawn below the content view.
Note
Defaults to a
UIView
with no drawn appearance or state. You do not need to provide thistypealias
unless you would like to draw a selected background view.Declaration
Swift
associatedtype SelectedBackgroundView : UIView = UIView
-
Create and return a new background view used to render the content’s selected background.
This view is displayed when the content is highlighted or selected.
If your
BackgroundView
andSelectedBackgroundView
are the same type, this method is provided automatically by callingcreateReusableBackgroundView
.Note
Do not do configuration in this method that will be changed by your view’s theme or appearance – instead do that work in
apply(to:)
, so the appearance will be updated if the appearance of content changes.Declaration
Swift
static func createReusableSelectedBackgroundView(frame: CGRect) -> SelectedBackgroundView
-
The coordinator type to use to manage the live state of the
Item
andItemContent
, if you need to update content based on signals such as notifications, view state, appearance state, etc.Declaration
Swift
associatedtype Coordinator : ItemContentCoordinator = DefaultItemContentCoordinator<Self> where Self == Self.Coordinator.ItemContentType
-
The actions passed to the coordinator.
Declaration
Swift
typealias CoordinatorActions = ItemContentCoordinatorActions<Self>
-
The info passed to the coordinator.
Declaration
Swift
typealias CoordinatorInfo = ItemContentCoordinatorInfo<Self>
-
Creates a new coordinator with the provided actions and info.
Declaration
Swift
func makeCoordinator(actions: CoordinatorActions, info: CoordinatorInfo) -> Coordinator
-
Identifier
Extension methodThe
Identifier
type for the item.For example, if your
ItemContent
wasMyContent
, and yourIdentifierValue
wasUUID
, this variable will provide anIdentifier<MyContent, UUID>
.Declaration
Swift
typealias Identifier = ListableUI.Identifier<Self, IdentifierValue>
-
identifier
Extension methodThe
Identifier
for the item.For example, if your
ItemContent
wasMyContent
, and yourIdentifierValue
wasUUID
, this variable will provide anIdentifier<MyContent, UUID>
.Declaration
Swift
var identifier: Identifier { get }
-
identifier(with:
Extension method) Creates an
Identifier
with the provided value.This method allows creating an
Identifier
in a type safe manner; enforcing that theRepresented
andValue
parameters are of the correct type for theItemContent
:MyItem.identifier(with: "my-id") // ✅ OK MyItem.identifier(with: 1) // 🚫 Error: MyItem's IdentifierValue is String.
You can also read the identifier via
ItemContent/identifier
,Item/identifier
orAnyItem/anyIdentifier
.Declaration
Swift
static func identifier(with value: IdentifierValue) -> Identifier
-
isEquivalent(to:
Default implementation) Default Implementation
If your
ItemContent
isEquatable
,isEquivalent
is based on theEquatable
implementation.Declaration
Swift
func isEquivalent(to other: Self) -> Bool


This is a very early instance of a currently very new software.
qeddit is an alternative front-end for reddit written by qorg11.
See repo
.
This instance specifically runs on
my fork of it
, which is more lightweight when it comes to CSS.
If you want an instance of the original qeddit, go to
qorg11.net/redditclient
(Tor link)
I don't keep logs or any information, and even if i did they would be useless since this is a Tor-only instance.


Clear, The Baggage being Deposited, in the Fortification the Army moved at 6 in the following order Capt Baker & Capt Arnold's Companies under the Comd. of Majr. Price formd. the Front or Corps of observation. Brigd. Genl. Todd on the Left Genl. Wilkinson on the Margin of the River the artillery and bagage in the Centre Genl Barbee in the rear the Ground for 5 miles high & dry open Woods tall large Oaks at 45 Minutes past 8 the Front was attactd. by a number of Indians in the high Grass They returnd. the fire and fell back to the Front of the Federal Army, which likewise fell back untill They Formed the line of Battle when they movd. on driving the Enemy before them the Cavelry chargd. here with the loss of the brave Capt. M. Campbell at this Time Genl Todd Brigade was forming a line and immediately got into action after getting orders from Genl. Scott to dismount and move forwards in a lo swampy ground with a great dale of fallen Timber and thick brush with Hoop and black Ash bushes which rendred the place difficult to see a Man 10 yds the action Continud all together 1 hour & 20 Minutes with the Volunteers half an hour when the Indians and their white allies part British and some French retired in a very precipitate manner leaving their dead and some of their wounded on the Field we moved back over the ground collectd. the wounded and moved to the Federal troops where they were haltd and had the wound dressd. and litters made to carry them in, the Army then movd. forwarward within sight of the British Garison where the Army incampd on a high Bank in a thick Brush. the Action was General and conducted with propriety and honour to the American Arms and Their Officer in sight of the army was the River divided by a large Island well Cultivated with Corn & beans and a number of Stacks of Hay which was a pleaseing sight to the Army but more particularly to the Volunteers that was across the River and bringing loads of Corn and Hay in one hour after the army got to the ground under the Guns of the British Garison a smart Shower of Rain after the action.
Anonymous. "Two Journals of the Kentucky Volunteers 1793 and 1794." Edited by Richard C. Knopf . The Filson Club Historical Quarterly 27.3 (1953): 258-273; 279-281.
US Army (preparation): The Baggage being Deposited, in the Fortification
US Army (movement): the Army moved at 6
Front Guard (battle): at 45 Minutes past 8 the Front was attactd. by a number of Indians in the high Grass
Front Guard (battle): They returnd. the fire and fell back to the Front of the Federal Army, which likewise fell back untill They Formed the line of Battle
Right Dragoons (battle): they movd. on driving the Enemy before them the Cavelry chargd.
Right Dragoons (casualty): the loss of the brave Capt. M. Campbell at this Time
Kentucky Volunteer Cavalry (movement): Genl Todd Brigade was forming a line and immediately got into action after getting orders from Genl. Scott to dismount and move forwards
Native Confederacy (retreat): the Indians and their white allies part British and some French retired in a very precipitate manner
Native Confederacy (burial): leaving their dead and some of their wounded on the Field
Kentucky Volunteers (burial): we moved back over the ground collectd. the wounded
US Army (rest): the Federal troops where they were haltd and had the wound dressd. and litters made to carry them in
US Army (movement): the Army then movd. forwarward within sight of the British Garison where the Army incampd on a high Bank in a thick Brush.


| 1 |
literature |
risk |
publications |
COVID-19 |
articles |
interventions |
evidence |
chinese |
epidemic |
rhinosinusitis |
- |
objectivity |
training |
mers-cov |
videos |
| 2 |
search |
95 |
research |
case |
journals |
PPE |
guidelines |
trials |
infectious diseases |
diagnosis |
online |
scientific |
babies |
ICTV |
RNA |
| 3 |
methods |
meta-analysis |
countries |
coronavirus |
medical |
infection |
recommendations |
TCM |
predictions |
chronic |
internet |
retracted |
mental |
syndrome |
mandarin |
| 4 |
review |
reviews |
bibliometric |
clinical |
health |
cost |
living |
clinical |
ZIKV |
diagnostic |
users |
sss |
women |
middle |
unnatural |
| 5 |
studies |
quality |
% |
2020 |
public |
control |
guideline |
speech |
models |
severity |
SUPPLEMENTARY |
article |
health professionals |
approval |
developments |
| 6 |
health |
% |
arab |
case reports |
science |
transmission |
antibiotics |
medicine |
zika |
vitamin |
ELECTRONIC |
paper |
neonatal |
pathogenesis |
compendium |
| 7 |
identified |
high |
number |
2019 |
’s |
effectiveness |
rgs |
outcome |
prediction |
encephalitis |
MATERIAL |
chapter |
care |
proposals |
heparanase |
| 8 |
research |
CI |
output |
treatment |
cited |
setting |
L-OVE |
connected |
reproducibility |
consensus |
authorized |
digest |
newborn |
MGBA |
MIR |
| 9 |
relevant |
mortality |
USA |
patients |
newspapers |
priority |
randomised trials |
clinical trials |
servers |
clinical |
supplementary |
microarray |
emergency |
vaccine |
EBCH |
| 10 |
development |
bias |
= |
sars-cov-2 |
SARS |
protective |
• |
rcts |
model |
diagnostic criteria |
online version |
corroborative |
ill |
otitis |
john |
| 11 |
based |
resilience |
total |
studies |
times |
masks |
HCAI |
outcomes |
preprints |
croup |
internet references |
proteins |
MHL |
otitis media |
storage |
| 12 |
provide |
systematic |
field |
case series |
medicine |
evaluations |
register |
paraphasias |
preprint servers |
american |
sharing |
policy |
emergency care |
east |
sons |
| 13 |
important |
studies |
united |
reports |
informatics |
healthcare |
updated |
traditional |
timeliness |
asthma |
access |
metrics |
stress |
committee |
youtube |
| 14 |
knowledge |
cochrane library |
retrieved |
systematic review |
frequently |
influenza |
preventing |
SUC |
infectious |
atypical |
material |
scientific community |
professionals |
middle east respiratory syndrome |
wiley |
| 15 |
data |
patients |
global |
series |
occupational |
hand |
prophylactic |
herbal |
pandemic |
children |
references |
centrality |
post-traumatic |
zoonoses |
bibliography |
| 16 |
identify |
systematic reviews |
collaboration |
viral |
infectious disease |
infections |
antibiotic |
FCSQ |
outbreaks |
clinical research |
closure |
withdrawal |
october |
members |
acids |
| 17 |
key |
significant |
published |
pregnancy |
news |
AECB |
updates |
COS |
modelling |
definitions |
information |
shows |
newborns |
ethical |
cards |
| 18 |
‘ |
respiratory |
resistance |
background |
papers |
MG |
prophylaxis |
xiaoyaosan |
days |
ALRI |
ward closure |
elsevier |
courses |
therapies |
biochemistry |
| 19 |
findings |
assessed |
h-index |
affected |
numbers |
respiratory |
living systematic review |
randomized controlled trials |
epidemics |
sepsis |
ward |
issue |
designs |
2007 |
disks |
| 20 |
outbreak |
test |
analysis |
drugs |
asian |
people |
incorporated |
naming |
data |
hepatic |
online health information |
writing |
poor countries |
ethical approval |
FTA |
| 21 |
areas |
low |
publication |
trial |
public health |
effective |
randomised |
chinese medicine |
studies |
AB |
sites |
request |
post-traumatic stress disorder |
gut |
weeks |
| 22 |
specific |
heterogeneity |
ranked |
in vitro |
environmental |
hygiene |
advice |
measurement |
% |
point |
% |
facts |
usual |
HIV |
competencies |
| 23 |
selected |
data extraction |
international collaboration |
RT-PCR |
ML |
handwashing |
adapted |
blood |
passenger |
lesions |
diffusion |
reproduction |
baby |
EC |
listed |
| 24 |
approach |
library |
study |
COVID |
PHI |
settings |
cochrane central register of controlled trials |
HED |
airline |
symptom |
NHP |
tourism |
in-service |
clinical studies |
scoring |
| 25 |
databases |
heart |
top |
vitro |
stem |
personal |
CENTRAL |
western medicine |
covid-19 |
statement |
SR/MA |
apologize |
usual care |
ebola |
respect |
| 26 |
general |
results |
country |
virus |
TW |
contact |
central |
antidepressants |
peer review |
nomenclature |
ASE |
incubation |
children |
agents |
cochrane review |
| 27 |
conducted |
performed |
documents |
trials |
SCI |
facilities |
national |
VKC |
epidemiological |
markers |
ARI |
misfolded |
newborn babies |
middle east respiratory syndrome coronavirus |
natural |
| 28 |
including |
pooled |
bibliometric analysis |
asymptomatic |
HK |
measures |
evidence-based |
SFI |
publication |
presepsin |
article |
ERAD |
ill newborns |
taxonomy |
bioterrorism |
| 29 |
describe |
= |
arab countries |
ribavirin |
newspaper |
studies |
organisations |
registry |
accessibility |
graphical |
readers |
time frame |
update |
animal |
cumulative |
| 30 |
framework |
- |
related |
mothers |
emerging |
surveillance |
questions |
protocols |
medical journals |
vitamin c |
version |
machinery |
review authors |
microbiota |
‐ |
| 31 |
issues |
assessment |
international |
neurological |
analyzed |
economic |
disseminated |
ESWT |
nephrology |
NGS |
ARTI |
http://www.elsevier.com/locate/withdrawalpolicy |
resuscitation |
microbiome |
in-text |
| 32 |
objectives |
smoking |
world |
chloroquine |
technology |
costs |
extract data |
cpms |
enhance |
panel |
turnover |
misfolded proteins |
intimate |
AGA |
up‐to‐date |
| 33 |
themes |
respiratory viruses |
institutions |
evidence |
infectious |
community-based |
openly |
mesalamine |
beginning |
bronchiolitis |
open |
record |
mental well-being |
respiratory |
subscribers |
| 34 |
results |
confidence |
psychology |
SARS |
GHI |
healthcare personnel |
PICO |
chinese herbal medicine |
prediction models |
displays |
file |
journal |
operatives |
media |
alphabetical |
| 35 |
criteria |
moderate |
scopus database |
review |
health-related |
facemask |
versus |
remdesivir |
general population |
mirnas |
DOAJ |
nature |
violence |
association |
scoring systems |
| 36 |
included |
included |
diseases |
2019-ncov |
critical care |
H1N1 |
department |
kangfuxinye |
climate |
communicate |
biotorrents |
life |
mental health |
MERS |
core competencies |
| 37 |
developing |
disease |
france |
HCQ |
disaster medicine |
personnel |
COVID-19 |
UC |
predicted |
seroepidemiologic |
engines |
community |
psychological health |
axis |
deliberate |
| 38 |
system |
diabetes |
years |
therapeutics |
coverage |
hand hygiene |
rapid |
HF |
publication process |
vitamin d |
transfer |
intrinsically |
resuscitate |
OM |
sentences |
| 39 |
limitations |
cochrane |
production |
severe |
published |
n=2 |
patients |
revman |
code |
polyposis |
meteorological |
experiments |
health workers |
national library of medicine |
includes |
| 40 |
information |
quality assessment |
zoonotic |
testing |
impact |
practices |
centralised |
score |
e.g. |
chronic rhinosinusitis |
inaccessible |
affects |
EDC |
BMJ |
2 |
| 41 |
2014 |
primary studies |
toxocariasis |
systematic |
highest |
cost-effectiveness |
obstetrical |
controlled |
dissemination |
VDD |
61 |
composition |
abused |
host |
issue |
| 42 |
disease |
high risk |
kingdom |
n=10 |
intervals |
absenteeism |
privatisation |
efficacy |
process |
ROSES‐I |
mirna |
IV |
certainty |
animal studies |
10 |
| 43 |
implications |
criteria |
leishmaniasis |
causing |
scientific articles |
mgs |
traditional media |
COS-COVID |
incorporation |
paediatric |
incentives |
retract |
health |
draft |
4 |
| 44 |
abstracts |
AMSTAR |
global level |
plasma |
structure |
distancing |
infectious morbidity |
clinical efficacy |
absent |
exterior |
nosocomial |
fact |
maternity |
ratification |
section |
| 45 |
resources |
hypertension |
brazil |
manifestations |
occupational health |
airborne |
NHS |
traditional chinese medicine |
flooding |
common |
residing |
geographics |
health worker |
71 |
1 |
| 46 |
gaps |
prevalence |
NRT |
convalescent |
hong |
LTCF |
aerosol |
cortex |
73 |
acute |
invasive |
disordered |
respiratory virus |
vaccinology |
5 |
| 47 |
methodology |
critically |
BACKGROUND |
clinical trials |
lancet |
social distancing |
apply |
treatment |
reproducible |
cold symptoms |
019 |
intrinsically disordered proteins |
vertical transmission |
gut microbiota |
surface |
| 48 |
articles |
cardiovascular disease |
carbapenem |
included |
kong |
economic evaluations |
peer-reviewed publications |
rate |
actionable |
etiologic |
evidence-based |
idea |
documented |
outbreaks |
spectrometry |
| 49 |
importance |
physical disease |
productivity |
reported |
pluripotent |
mask |
caesarean section |
randomized |
published |
chronic cough |
level |
RB |
japanese |
strategies |
recombinant |
| 50 |
lists |
odds |
social media |
cohort |
medical literature |
analyses |
caesarean |
CBM |
diseases |
classic |
visually |
regulation |
workers |
notes |
elemental |


Toucan AI
Toucan AI is the e-commerce tech company I spent the last 3 years of my life building with Vishnu, Marifel, and a group of interns, advisors, and investors. While Vishnu and Marifel did the vast majority of the software engineering over the years, I contributed to the development when it made sense, and to the product vision throughout.
Shopify How To
Shopify How To was a project under the Toucan AI wing that was intended to provide small e-commerce business owners (who use Shopify) with a way of automatedly auditing and verifying their web store for mistakes and improvements that would drive conversions.
Small Box Shops
Small Box Shops is a project under the Toucan AI wing intended to help everyday online shoppers share and promote small e-commerce businesses, especially those with a social factor (Black- or Indigenous-owned, eco-friendly, etc.). Since the website itself doesn’t explain the concept, you can learn more here.
Toucan Demo Site
Toucan’s Demo Site is a project under the Toucan AI wing intended to showcase the Toucan AI product as it exists on a demo e-commerce store, built with Shopify. This video indicates how quickly Toucan was installed on this site (though it’s no longer active on the site now).
Nebula Learning
Nebula Learning is the educational tech company I spent 2 years building with Vishnu and a few other classmates at Duke before working on Toucan. While the site is no longer available publicly online, it is available on a private Github repo that I can share, if interested.
Snacks for the Socially Distanced
Snacks for the Socially Distanced is the (for a while) daily snack review podcast that Vishnu and I started to help bring people joy during the pandemic.
Farmshots
Farmshots is the agricultural technology startup I worked for as it was going through the YCombinator fellowship program. My web development was primarily to help build their analytics platform, which took farming data and displayed attractive graphs for customers to utilize.
Various school projects
I’ve done a variety of school projects that have involved web development of various sorts, including:
- a Virtual Farmer’s Market walkthrough for a virtual museum exhibit
- a Python app called Volyoome that automatically adjusts computer volume based on external noise input (created for HackDuke)
- an ArcGIS app called Ecodiversity that allows for the crowdsourcing and environmental biodiversity data (also created for HackDuke)


{% extends 'base.html' %}
{% block title %}{{ gettext("Origin Protocol - Videos") }}{% endblock %}
{% block meta_description %}{{ gettext("Watch videos featuring Origin's top investors, employees, and other supporters.") }}{% endblock %}
{% block content %}
{% include 'navbar.html' %}
Videos
Much of this content is out of date. Since finding traction in NFTs and DeFi, our team is no longer focused on decentralized marketplaces and the sharing economy. The videos are made available for historical context and posterity.


“Kāḷī itthī brahatī dhaṅkarūpā,
Satthiñca bhetvā aparañca satthiṁ;
Bāhañca bhetvā aparañca bāhaṁ,
Sīsañca bhetvā dadhithālakaṁva;
Esā nisinnā abhisandahitvā.

Yo ve avidvā upadhiṁ karoti,
Punappunaṁ dukkhamupeti mando;
Tasmā pajānaṁ upadhiṁ na kayirā,
Māhaṁ puna bhinnasiro sayissan”ti.
… Mahākāḷo thero ….

So let one who understands not build up attachments:
may I never again lie with a broken skull!


You can write a VBScript macro to use the Test Container in a non-interactive mode.
See the Visual C++ documentation for more information on Automation and VBScript.


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To create a foundation of layers and masks in Photoshop for beginning designers
As a casual user, Nya wants to find a website for cool tutorials of Photoshop
Name: Nya Lindell
Age: 32
Job: Small Business Owner - Cupcake Shop
Device: Surface Pro (Windows Pro 10)
Internet: Sufficient
Social: Above Average
Online Shopping: Excellent
Nya wants to improve her design skills to attract more customers. Specifically:


Shops To Sale Cookies
Name Of Shop :-
Minimum Customer :-
Maximum Customer :-
Avarge cookies each hour :-


Content-type: text/html; charset=UTF-8
Man page of bap-byteweight
bap-byteweight
Section: Bap-byteweight Manual (1)
Updated:
Index
Return to Main Contents
NAME
bap-byteweight - byteweight toolkit
SYNOPSIS
bap-byteweight COMMAND ...
DESCRIPTION
A toolkit for training, fetching, testing and installing byteweight signatures.
COMMANDS
- dump
-
Dump the function starts in a given executable by given tool
- fetch
-
Fetch signatures from the specified url
- find
-
Output all function starts in a given executable
- install
-
Install signatures
- symbols
-
Print file's symbol table if any.
- train
-
Train byteweight on the specified set of files
- update
-
Download and install latest signatures
OPTIONS
- --help[=FMT] (default=auto)
-
Show this help in format FMT. The value FMT must be one of `auto', `pager', `groff' or `plain'. With `auto', the format is `pager` or `plain' whenever the TERM env var is `dumb' or undefined.
- --version
-
Show version information.
SEE ALSO
bap(1), bap-plugin-byteweight(1)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- COMMANDS
-
- OPTIONS
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 19:19:07 GMT, April 10, 2019


Grid-Style
Line-Style
Global Diet Habit Survey
Gender:
Where are you from?
United States
Canada
Middle South America
United Kingdom
Ireland
Europe
Middle East
Taiwan
Japan
South Korea
Others
What do you usually like for your starter?
Fresh Salad
Delicious Soup
Garlic Bread
Chrispy Chips
I supposed you know what's next.
What would you like for your main dishes?
Steak
Pizza
Roman-style
Neapolitan-style
New York-style
Domino
Pizza Hut
As long as eatable
Burrito
Chinese
Japanese
Mediterranean style
Spanish
Others (Please fill in):
Let's talk about desserts!!
Cake
Ice cream
Milk shake


Tulisa Contostavlos's panel show appearances
Tulisa Contostavlos (born 1988-07-13[ref]) has appeared in 10 episodes between 2010-2016. Tulisa Contostavlos on IMDB. Tulisa Contostavlos on Wikipedia.
- 2016-09-15 / Celebrity Juice
- 2015-09-24 / Celebrity Juice
- 2015-01-09 / Loose Women
- 2014-12-03 / Sweat the Small Stuff
- 2014-10-09 / Celebrity Juice
- 2013-05-28 / Sweat the Small Stuff
- 2012-12-04 / Loose Women
- 2010-10-28 / Never Mind The Buzzcocks
- 2010-10-21 / Celebrity Juice
- 2010-07-27 / Shooting Stars


[ Module Hierarchy
| Class Hierarchy ]
Class Hierarchy
- object:
The most base type
- easycsv.AttributeParser:
Generic parser applied to column fields of a statements block.
- easycsv.CSV:
CSV class that handles the csv files content is any iterable where
the content of each row is data delimited text.
- easycsv.CSVStatement:
CSVStatement represents the csv statement to be executed by a ORM.
- easycsv.CSVType:
The CSVType declared at the header of a csv statement block.
- easycsv.ORM:
The ORM engine super class.


Add, delete, or push a local image into minikube
Use "minikube <command> --help" for more information about a given command.


compose [-h] lt;module_namegt; lt;module_namegt;
This function creates a new module which is the parallel composition of the given modules. It returns the name of the newly composed module.
The name of the new module is generated internally. To designate a name, use let. For example, the command
let P be [compose P1 P2]
creates a module P which is the parallel composition of P1 and P2.
Command Options:


Correlations¶
-
class
schnell.correlation.
NoiseCorrelationBase
(ndet)[source]¶ Noise correlation objects have methods to compute noise PSD correlation matrices.
Do not use the bare class.
-
class
schnell.correlation.
NoiseCorrelationConstant
(corrmat)[source]¶ This describes constant correlation matrices.
Parameters: corrmat – 2D array providing the constant covariance matrix.
-
class
schnell.correlation.
NoiseCorrelationConstantIdentity
(ndet)[source]¶ This describes diagonal correlation matrices.
Parameters: ndet – number of detectors in the network.
-
class
schnell.correlation.
NoiseCorrelationConstantR
(ndet, r)[source]¶ This class implements correlation matrices that have the same cross-correlation coefficient for all pairs of different detector, which is also constant in frequency.
Parameters: - ndet – number of detectors in the network.
- r – pairwise correlation coefficient.
-
class
schnell.correlation.
NoiseCorrelationFromFunctions
(ndet, psd_auto, psd_cross)[source]¶ This implements a correlation matrix that has the same auto-correlation PSD for all detectors and the same cross-correlation PSD for all pairs of different detectors.
Parameters: - ndet – number of detectors in the network.
- psd_auto – function of frequency returning the detector noise auto-correlation.
- psd_cross – function of frequency returning the detector noise cross-correlation.


Mastering Algorithms with C
By Kyle Loudon
Slots : 1
Table of Contents
[
SYMBOL
] [
A
] [
B
] [
C
] [
D
] [
E
] [
F
] [
G
] [
H
] [
I
] [
J
] [
K
] [
L
] [
M
] [
N
] [
O
] [
P
] [
Q
] [
R
] [
S
] [
T
] [
U
] [
V
] [
W
] [
X
]
radix sort
2nd
3rd
4th
counting sort
description of
digits
implementation and analysis of
interface for
stable requirement
random number generators
randomized algorithms
readability of code
receive_event function
rectilinear coordinate system
2nd
recurrences
2nd
recursion
basic recursion
2nd
3rd
malformed terminating condition
merge sort
2nd
overhead
quicksort partitioning
recurrences
stack
2nd
3rd
stack overflow
tail recursion
2nd
tail recursion elimination
terminating condition
2nd
unwinding phase
winding phase
recv_comp function
red-black trees
relational algebra
relationships
functional
represented by graphs
statistical
relax function
replace_page function
resolving collisions
2nd
3rd
resource selection
restricted regions testing
return, recursive function
Rivest-Shamir-Adleman (RSA) encryption
2nd
binary square and multiply method
decipher function
2nd
encipher function
Euclid's greatest common divisor algorithm
Huge datatype
implementation and analysis of
interface for
Internet security
keys
modular exponentiation
2nd
prime numbers, finding large
robotics
root of an equation
2nd
root function
root nodes
2nd
rotate_left function
2nd
rotate_right function
2nd
route function
2nd
routers
routing airplanes
routing tables
2nd
3rd
route function
2nd
shortest function
SPF routing
RSA (Rivest-Shamir-Adleman) encryption
2nd
rsa_decipher function
2nd
rsa_encipher function
2nd
RsaPriKey structure
RsaPubKey structure
running time, relation to complexity
runtime errors from pointers
rxsort function
Top