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_bad_request(message)
Construct a response object to represent a 400 (Bad Request) around the supplied message |
source code
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_accepted(obj)
Construct a response object to represent a 202 (Accepted) for the supplied object |
source code
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retrieve_notification(notification_id)
Receive a GET on a specific notification, as identified by the notification id, and return the body
of the notification |
source code
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retrieve_content(notification_id,
filename=None)
Receive a GET against the default content or a specific content file in a notification and supply the binary
in return |
source code
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_list_request(repo_id=None)
Process a list request, either against the full dataset or the specific repo_id supplied |
source code
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list_all_routed()
List all the notifications that have been routed to any repository, limited by the parameters supplied
in the URL. |
source code
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list_repository_routed(repo_id)
List all the notifications that have been routed to the specified repository, limited by the parameters supplied
in the URL. |
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Top Analyst Reports for Apple, Comcast & NVIDIA
by Mark VickeryWednesday, November 20, 2019
The Zacks Research Daily presents the best research output of our analyst team. Today's Research Daily features new research reports on 16 major stocks, including Apple Inc. (AAPL), Comcast Corp. (CMCSA) and NVIDIA Corp. (NVDA). These research reports have been hand-picked from the roughly 70 reports published by our analyst team today.
You can see all of today’s research reports here >>>
Apple’s shares have outperformed the Zacks Computer - Mini computers industry year to date (+68.8% vs. +65.7%). The Zacks analyst believes that the company is benefiting from continued momentum in the Services segment and improved iPhone sales owing to the trade-in programs.
Non-iPhone devices continue to perform well, driven by strong demand for iPad, Apple Watch and AirPods. The company’s expanded portfolio that now includes new MacBook Pro, Apple Watch Series 5 and streaming service Apple TV+ is a key catalyst.
Nevertheless, uncertainties over the timeframe of the resolution of the U.S.-China trade war do not bode well for the company. Further, antitrust investigations, App Store-related lawsuits and Spotify’s complaint increase legal woes.
(You can read the full research report on Apple here >>>)
Shares of Comcast have gained 23% in the past two-year period against Zacks Cable Television industry’s rise of 14.8%. The Zacks analyst believes that the company is benefiting from solid growth in a number of residential and business services high-speed Internet customers.
The company’s strategy of providing high-speed Internet at an affordable cost plays a key role in improving customer experience. Growing popularity of Xfinity products is also a key catalyst. Moreover, expansion in the wireless user base and the security and automation services customer base is a growth driver.
However, Comcast continues to lose video subscribers due to cord cutting. Moreover, a high debt level is a headwind.
(You can read the full research report on Comcast here >>>)
NVIDIA’s shares have outperformed the Zacks Semiconductor - General industry year to date (+55.8% vs. +32.9%). The Zacks analyst believes that the company is benefiting from strong growth in GeForce desktop and notebook GPUs, which is boosting gaming revenues. Solid momentum of its real-time ray tracing technology is also a positive.
Increase in Hyperscale demand is a tailwind for Data Center business as well. Growing adoption in the inference market is an upside too. Further, the solid uptake of AI-based smart cockpit infotainment solutions is a boon.
However, the company’s bleak guidance for the fourth quarter due to seasonality is a concern.
(You can read the full research report on NVIDIA here >>>)
Other noteworthy reports we are featuring today include GlaxoSmithKline plc (GSK), Edwards Lifesciences Corp. (EW) and Global Payments Inc. (GPN).
More Stock News: This Is Bigger than the iPhone!
It could become the mother of all technological revolutions. Apple sold a mere 1 billion iPhones in 10 years but a new breakthrough is expected to generate more than 27 billion devices in just 3 years, creating a $1.7 trillion market.
Zacks has just released a Special Report that spotlights this fast-emerging phenomenon and 6 tickers for taking advantage of it. If you don't buy now, you may kick yourself in 2020.
Click here for the 6 trades >>
Mark Vickery
Senior Editor
Note: Sheraz Mian heads the Zacks Equity Research department and is a well-regarded expert of aggregate earnings. He is frequently quoted in the print and electronic media and publishes the weekly Earnings Trends and Earnings Preview reports. If you want an email notification each time Sheraz publishes a new article, please click here>>>


Your love for chocolate is only the beginning !
The historical museum is located in the heart of Virginia in Richmond, VA
Dine at our fantastic diner and choose from a wonderful menu of chocolate delights
Enjoy a variety of Chocolate inspired clothing and memorabilia
Come explore with us daily at convenient times and affordable prices
Find out more about our museum
Find out more about our Café
Find out more about our shop
Find out more about our times and prices


Personal goals 2019
10-01-2019 - Bram Smulders
Learn
- Accessibility ✅
- CSS Grid Layout ✅
- Component libraries/Styleguides ❌
- Web Components ❌
- More React ✅ Preact ❌ Vue ❌
- Redux ✅
- Static site generators ✅
- Storybook ✅
Community
- Supple CSS ✅ | github.com/supple-css
- Contibute to used tools 😒
- Active contribution on discussions ✅
- Events bijwonen ✅
Team
- Working together ✅
- Knowledge sharing ✅
- Enhance quality ✅
E-sites
- Process (Scrum/preparation/branching) 🚀
- Quality ✅
- Project foundation(boilerplate) 🚀
- Frequent knowledge sharing ❌
Health goals
- 36500 pushups (av. 100 a day).
- Run Tilburg 10 miles (~16km).
- Run Singelloop (21,1km).
- Again, a little less alcohol.
Psychological goals
- Read atleast 3 books.
- Bring down phone use from ~4.5h a day to ~2h.
- Develop a healthy sleep cycle.
Family goals
- Travel out of Europe.
- More activities/sightseeing with the kids.
- More NERF wars.
Musical goals
- Produce atleast 3 tracks.
- Create 12 (monthly) DJ mixes. mixcloud.com/djrebolo
- Attend atleast 3 festivals/concerts.
- Listen to a f*ckton of music.
Open source
- Further develop the Supple CSS ecosystem.
- Contribute to Open source projects I use a lot.
- Mingle in online discussions & boards.
Learn
- Get better in using react.
- Get better at JavaScript in general.
- Learn new/other front-end frameworks.
- Deepen my workflow/process knowledge.
- Attend atleast 2 conferences.
Propagate
- Sharing ideas/knowledge about front-end workflow/architecture.
- Continue to educate others on quality assurance.
- Continue to b*tch about things that can be done better.


new word:
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Big Data is changing the life of our kids!  These things are bombarding our young kids and teenagers with a huge amount of information.
This may affect their mental behaviour and perhaps trigger serious issues such as:
The challenges in this hackathon will focus on techniques to analyse the Big Data generated on Social Networks to Save Lives including proactive detection to understand patterns of suicidal thoughts, online bullying and criminal behaviour.
Challenge 1: This challenge will be algorithmic and will target students with a Computer Science background. Participants will develop a learning system to perform automatic mental-health-disorders detection from social networks.
Your solution should help understanding patterns of suicidal thoughts OR Cyberbullying by analysing the activity of the users as well as the context and content of the messages/posts on social networks.
The next two challenges are focusing on building a software prototype (UI) or a mock-up (UX), and will target students without a Computer Science background:
Challenge 2 (TBA) UI: developing a prototype which can help in mental-health-disorders detection from social networks.
You will design a Software Prototype (of a mobile App) to assist parents monitor the activity of their kids on social networks!
Challenge 3 (TBA) UX: developing a mock-up which can help in mental-health-disorders detection from social networks.
You will design a Mock-up (of a mobile App) to assist teenagers using social networks. For example, this mobile App assistant can have a dashboard showing some suggestions, alerts, hints, etc regarding the content and the activity of their friends, new friend requests, etc. on social networks.
-Up to $600 AUD prize for each challenge! Cash and Microsoft Azure Credit.
-Certificate of achievement for top 3 performing teams, for each challenge.
-Give away gifts from the sponsors. LINK
-Certificate of attendance for the Hackathon.
-Certificate of attendance for the Workshops (SAS and Yellowfin).


Home¶
I will be giving numerous examples of typical usage of Generic Mapping Tools (GMT). These galleries are generated by pyGMT, a simple wrapper of GMT.
Most of figures are generated by pyGMT which is a simple python wapper of GMT. If you have any questions, please let me know.
Dr. Weijia Sun
Key Laboratory of Earth and Planetary Physics
Institute of Geology and Geophysics
Chinese Academy of Sciences
Email: swj<at>mail.iggcas.ac.cn


104
O LORD My God, You Are Very Great
1 Bless the LORD, O my soul! O LORD my God, you are very great!
You are clothed with splendor and majesty,
2 covering yourself with light as with a garment,
stretching out the heavens like a tent.
3 He lays the beams of his chambers on the waters;
he makes the clouds his chariot;
he rides on the wings of the wind;
4 he makes his messengers winds,
his ministers a flaming fire.
5 He set the earth on its foundations,
so that it should never be moved.
6 You covered it with the deep as with a garment;
the waters stood above the mountains.
7 At your rebuke they fled;
at the sound of your thunder they took to flight.
8 The mountains rose, the valleys sank down
to the place that you appointed for them.
9 You set a boundary that they may not pass,
so that they might not again cover the earth.
10 You make springs gush forth in the valleys;
they flow between the hills;
11 they give drink to every beast of the field;
the wild donkeys quench their thirst.
12 Beside them the birds of the heavens dwell;
they sing among the branches.
13 From your lofty abode you water the mountains;
the earth is satisfied with the fruit of your work.
14 You cause the grass to grow for the livestock
and plants for man to cultivate,
that he may bring forth food from the earth
15 and wine to gladden the heart of man,
oil to make his face shine
and bread to strengthen man's heart.
16 The trees of the LORD are watered abundantly,
the cedars of Lebanon that he planted.
17 In them the birds build their nests;
the stork has her home in the fir trees.
18 The high mountains are for the wild goats;
the rocks are a refuge for the rock badgers.
19 He made the moon to mark the seasons;
the sun knows its time for setting.
20 You make darkness, and it is night,
when all the beasts of the forest creep about.
21 The young lions roar for their prey,
seeking their food from God.
22 When the sun rises, they steal away
and lie down in their dens.
23 Man goes out to his work
and to his labor until the evening.
24 O LORD, how manifold are your works!
In wisdom have you made them all;
the earth is full of your creatures.
25 Here is the sea, great and wide,
which teems with creatures innumerable,
living things both small and great.
26 There go the ships,
and Leviathan, which you formed to play in it.
27 These all look to you,
to give them their food in due season.
28 When you give it to them, they gather it up;
when you open your hand, they are filled with good things.
29 When you hide your face, they are dismayed;
when you take away their breath, they die
and return to their dust.
30 When you send forth your Spirit, they are created,
and you renew the face of the ground.
31 May the glory of the LORD endure forever;
may the LORD rejoice in his works,
32 who looks on the earth and it trembles,
who touches the mountains and they smoke!
33 I will sing to the LORD as long as I live;
I will sing praise to my God while I have being.
34 May my meditation be pleasing to him,
for I rejoice in the LORD.
35 Let sinners be consumed from the earth,
and let the wicked be no more!
Bless the LORD, O my soul!
Praise the LORD!


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XSOV is a new token that is fully collateralized by SOV, and similar to REX, XSOV can only increase in SOV value.
The XSOV smart-contract is open-source (and will be decentralized, and immutable after a short testing period).
XSOV is minted by sending SOV to the XSOV contract. There is a 1% fee for minting XSOV. The fee goes to all XSOV holders equally and instantly. This is done by using the fee to instantly increase the amount of SOV each XSOV is collateralized by.
When minting XSOV, the newly minted tokens are also instantly increased in value. Because of this, you always earn back part of your minting fee.
XSOV is converted back to SOV by sending it to the XSOV smart-contract. The XSOV smart-contract will then destroy the received XSOV tokens and transfer the value in SOV to your account. There are no fees to convert XSOV to SOV.


How to get free .me domain and other student-packs via github
CSITauthority is a blog dedicated towards bringing CSIT related stuff to real CSIT-studying students. We believe in keeping the gimmick down. We provide Notes, PDFs, eBooks, Software, Past Questions, Model Questions, and all those little things that students generally get to have at the end of a tiresome semester.
This started back in 2015 on the 3rd of Feb Tuesday around midnight with only one person and on March 18th 2016, we finally have a semblance of a team. With 2017, we’ve decided to do something radical. CSITauthority goes to github; We’re giving power back to the people.
join us by forking any repository!
How to get free .me domain and other student-packs via github
Article regarding the recent situation with IOE lobbying publicly available posts
An interesting problem with a bonus predicate calculus challenge
A Unity 3D implementation of virtual heritage visit with C# in the backend
Welcome to the BSc.CSIT section of CSITauthority. Every information, besides news and notices, pertaining to the BSc.CSIT course is given here.
Please Choose your desired Semester
These guys made this awesome
8 commits
1 commits


Can Grimlock give himself Bold 3 with his ability.
Yes. Grimlock Dinobot. Grimlock count.
How does Grimlock’s ability work?
Let’s say Grimlock attacks a character with 10 health and 8 damage counters. If he does 4 attack
damage to that character, 2 of that damage is enough to KO the defender. For the extra 2 damage, your
opponent chooses one of their other characters. That character would get 2 damage counters.
Let’s say the extra damage is enough to KO a second character. Does the extra damage keep going to
a third character?
No. The extra damage isn’t attack damage. Continuing the previous example, your opponent could
choose a character with 12 health and 11 damage counters and do 2 more damage to it. That character
would be KO’d.


Watching your idea develop into a valuable application should be fun, ot daunting. Our approach makes you an integral part of the process while improving your tech along the way.
We have managed every facet of development from ideation to launch and use our experience to solve problems before they arise. Our design-oriented pproach ensures your software will feel like home to your users, whether ou have one or one million.


View SDF from URL
This example shows how to visualize an SDF file on the browser by passing the URLs of its resources.
The SDF parsing happens completely on the browser, so there is no need for a GzWeb server to be runnning in the backend.
You can test it as follows:
- Under "Resources URLs", type the URL to a resource needed by the SDF
(like meshes, textures, etc). If no resources are missing, skip to step 4.
- Click "Add URL"
- Go back to step 1
- Under "SDF URL", fill the full URL to the SDF file
- Click "Load SDF!"


The goal of SHA1 or any secure hashing algorithm, is to reduce an arbitrarily sized input into an n-bit hash. For SHA1, n = 160 bits. 笔记：这里从目标的角度来讲SHA1，同时也适用于其他的secure hash算法。
SHA1 operates on 512-bit (64-byte) blocks of input. Each block is reduced to a 160-bit (20-byte) hash. 笔记：这里是从输入和输出的角度来讲SHA1。
| Hash | Input Block Size | Output Size |
|---|---|---|
| SHA1 | 512-bit (64-byte) | 160-bit (20-byte) |
Secure Hash Algorithm (SHA-1) is similar to MD5. The only principal difference is in the block operation不同之处 itself. The other two superficial differences are that SHA-1 produces a 160-bit (20-byte)不同之处 hash rather than a 128-bit (16-byte) hash, and SHA-1 deals with big-endian rather不同之处 than little-endian numbers. Like MD5, SHA-1 operates on 512-bit blocks相同之处, and the final output is the sum (modulo 32) of the results of all of the blocks相同之处. 笔记：这段话主要是讲SHA1和MD5的不同之处和相同之处。
The operation itself is slightly simpler; you start by breaking the 512-bit input into 16 four-byte values x. You then compute 80 four-byte W values from the original input where the following is rotated left once: W[0<t<16] = x[t], and W[17<7<80] = W[t–3] xor W[t–8] xor W[t–14] xor W[t–16]. 笔记：这段话主要是讲SHA1和MD5相比，block operation的不同之处，需要了解SHA1算法之后，才能读懂。
This W array serves the same purpose as the<PHONE_NUMBER> * abs(sin(i)) computation in MD5, but is a bit easier to compute and is also based on the input. 笔记：这段话需要熟悉MD5算法的计算过程，才能理解。


11 March 2004
As of 9 March 2004, a total of 39 suspect cases, including 8 deaths, were reported to WHO from eight counties. New cases were reported from Margibi, Grand Bassa, and Grand Gedeh Counties (see previous report). Of the total cases, 4 were laboratory confirmed by Institute Pasteur Abidjan, Côte d'Ivoire. Further testing on samples obtained from suspect cases is ongoing.
As of 9 March 2004, 66% of the target population (47 763) have been immunized. Additional emergency mass immunization campaigns are planned to start in Nimba county on March 20.
WHO, UNICEF, Médecins sans Frontières (Belgium, France, Holland and Switzerland), International Committee of the Red Cross and other NGOs in the field are supporting the Ministry of Health in the implementation of the campaigns.
Weekly meetings are being held with the Ministry of Health, Nimba County Health Team, UNICEF and Médecins sans Frontières (Holland, Switzerland) to coordinate and plan the response.


INSPIRATION
In summer 2017, I took an opportunity to house-sit a rustic cabin in rural Vermont via a Craigslist ad. My main goal was to create a body of music formed in the classic Thoreau-style prototype of solitude in nature. I grew up in nature and always found comfort in it, but my time in Vermont didn’t prove as fruitful as I had hoped. I was not yet ready for that sort of immersive experience, and lacked the discipline to capitalize on the opportunity. Nonetheless some good ideas came out of it, and frequently I find myself wanting to return to that headspace.
Vermont is an audio-visual program intended to put me (and others) in the headspace of being in that cabin in Vermont. In the first part of the game you are able to walk around the cabin. It is serene and meditative, and there are no distractions around. Once you get bored or anxious, however, there is only one thing you are able to do: sit down at the piano. At the piano, you are able to look out a window and play your MIDI keyboard, where your notes fall as water droplets from the sky and the quickly passing days create filter sweeps of your sound.
TECHNICAL FOUNDATIONS
During this project I felt like I was constantly walking a fine line between developing my audio and visual programming chops in new programming environments and thinking critically about my game's design and the feelings it would invoke in its users. Pay too much attention to the former, and I would spend hours creating something that would not feel good for the user, while if I paid too much attention to the latter I would spend those hours trying to program concepts that were not well designed technically or otherwise unrealizable in the scope of a class.
In order to get comfortable with this balance, I first created two other audio-visual programs. The first was a real-time visualizer for both time and frequency domain, and the second was a checkerboard step sequencer.
CREATION
Vermont was created primarily in the game engine Unity and the strongly-timed audio programming language ChucK, as well as the Chunity plug-in that allows for communication between the two.
Check out a couple of my C# scripts here on Github, or download the .app file to play with it yourself (note: for full functionality you should have a MIDI keyboard connected via port 0; see chuck --probe).


{% extends "base.html" %} {% block content %}
| Name | Department | Action/Status | ||
|---|---|---|---|---|
| {{faculty.faculty}} | {{faculty.faculty.department}} | {% if faculty.currently_being_viewed %}currently being viewed | {% elif not faculty.is_active %}currently inactive | {% else %}Select | {% endif %}


|
Class Summary |
| Attribute |
The class allows you to apply an arbitrary attribute to an SvgElement.This
is to account new attributes that may be allowed in the future and for the
applying of ElementEvents to SvgElements.
|
| Base64Generator |
This is a UU encoder decoder object. |
| CustomLayerStyle |
This class encapsulates the concept of a AutoCAD layer object.
|
| CustomTextStyle |
Encapsulates a custom text style as read from the config.d2s
Style Table objects. |
| Database |
This class is a simple database that could incorporate numerous tables, each
with a number of records. |
| DatabaseContainer |
This class is a container class for dxf2svg.util.Database.java
classes. |
| Dxf2SvgConstants |
This class represents all of the constants that are required for the
Dxf2Svg conversion process. |
| Dxf2SvgGui |
This class handles displayable message boxes that contain context sesitive
messages. |
| DxfElementPair |
DxfElementPair is a wrapper class for the primitive data types
extracted from a Dxf file.
|
| DXFFilter |
Filters for DXF files; *.dxf. |
| DxfParser |
Reads and parses either an ASCII or Binary AutoCAD DXF file. |
| DxfSearchEngine |
Searches for patterns in an ASCII AutoCAD DXF file.
|
| EventAttributeModifier |
This object extracts text content from an SvgText element and modifies the argument
list of any javascript function call found as the value of an Attribute .
|
| FontMapElement |
This object is created to manage fonts internally to Dxf2Svg. |
| GraphicLinkDatabase |
This class represents a database of graphic link targets.
|
| GraphicLinksDatabaseReader |
This class is called by the DxfPreprocessor and opens, reads the Graphic Links Database
then retains the database for query until the application stops. |
| LimitsFrame |
This class encapsulates the rectangular frame represented by the drawing
limits set in the DXF file being converted. |
| Pen |
This class encapsulates an AutoCAD pen object. |
| ProcessorManager |
This object manages the various processors switching states as the Dxf file
is interpreted. |
| RelativeLimitsFrame |
This class represents a rectangular frame by which and object can
query if another object falls within its bounderies. |
| ShowLicense |
This class is used to show the licencing information on the command line
through the command line. |
| SvgUtil |
This class provides various utilities and conversions methods.
|
| TableLayer |
This class represents an encapsulation of DXF layer tables. |
| TableLineType |
This object, in many ways, is subserviant to the TableLayer object.
|
| TableStyles |
Encapsulates DXF Text Style Table objects. |


 However, different varieties of salad may contain virtually any type of ready-to-eat food. Price : RM 3.00
Oden is a type of nabemono, consisting of several ingredients such as boiled eggs, daikon, konjac, and processed fishcakes stewed in a light, soy-flavored dashi broth. Price : RM 3.50
Mochi is Japanese rice cake made of mochigome, a short-grain japonica glutinous rice, and sometimes other ingredients such as water, sugar, and cornstarch. The rice is pounded into paste and molded into the desired shape. Price : RM 2.00
Ramen is a noodle soup dish that was originally imported from China and has become one of the most popular dishes in Japan in recent decades. Ramen are inexpensive and widely available, two factors that also make them an ideal option for budget travelers. Price : RM 5.00
Udon is a type of thick wheat flour noodle used frequently in Japanese cuisine. It is often served hot as a noodle soup in its simplest form, as kake udon, in a mildly flavoured broth called kakejiru, which is made of dashi, soy sauce, and mirin. It is usually topped with thinly chopped scallions. Price : RM 7.00


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Please do not include this app in any build/config/*/apps-*.list file or Market Customization, since it depends on features and services which are still in development.


Volos is one of the largest commercial ports in Greece, and is, therefore, very busy with cargo boats. The city is bustling and varied with all the resources a yacht could wish for in provisions and repairs. The harbour front is traffic-free and the evening "passagario" is very popular with the locals and visitors alike. Fish can be bought directly from a number of the local boats in the mornings.
Position 39°21.1'N, 22°56.19'E.
For full details on clearing into our out of Greece see Greek Formalities.
This is a port of entry. All the authorities are based here as it is a major commercial and ferry port. the Port Police do not visit visiting yachts as they are busy with the comercial ships and ferries, so you are obliged to go by yourself to their office.
Last updated July 2015.
Yachts can moor where indicated on the map by the green coloured lines (our thanks to SY Funny Girl for the map). There are alot of local boats and charter boats everywhere in this harbour, however normally a space can be found.
The Southern breakwater has laid lines and is often the only place to find a space for visiting yachts, however this is a poplular place for local youths to congregate so can get noisy and security is questionable. In addition, how often the laid lines are checked is dubious, so you may be better off using your own anchor. Water is available here.
The eastern town quay can be used however this part of the harbour is subject to swell from the ferries. Water and electricity are available.
Anchor stern-to. Holding is good, although some parts of the harbour have rather soft mud.
The "yacht harbour" in the north is normally full of fishing boats. If you do find a space here, it is still close to the town and restaurants and there is no swell at all. Water and electricity are available.
The closest roadside petrol station for fuel is marked red on the map. There is also drinking water available here.
An Irish/Italian called Carlos acts as an unofficial "Harbourmaster" and will direct you to a berth. He has excellent local knowledge and is very helpful.
The Yellow Pin on the map in the SW corner of the bay marks the Pafkakia boatyard. There is also a concrete wall/quay here where a yacht can moor.
Weather forecast (in English) on VHF channel 60 at 0600/1000/1600/2200 UTC
Last updated July 2015.


zkSNACKs was established to research the possibilities for Bitcoin fungibility enhancements and provide different products ensuring the desired privacy. Many believes that Bitcoin is anonymous but in reality the Blockchain is transparent.
Our mission is to equip you with powerful tools to secure your privacy.
zkSNACKs' flagship product is a privacy oriented Bitcoin wallet, called Wasabi Wallet.
Go to website.


A web application is a server like Instagram or Gmail. Users can log in and interact with the information others allow them to see. By making a web app, you can run your own local server and handle all the information others use to make an account and post updates.
Django is a Python-based web framework that helps you design your own web programs. It will help you design the most simplest web app page by giving you ready-made components so you don’t have to go through use authentication and the complicated processes.
This Django Girls Tutorial allows you to jump-start your web app by making a server. Continue through the navigation bar on the left.
Once you have completed the Django Girls tutorial and have a local server, customize it by using HTML, CSS, and Javascript.
Ruby is a MVC (Model, View, Controller) framework. The model manages data that users put in, like passwords and profile pictures. The controller receives requests and redirects users on the web app to other pages. The view is what the users see when they come to a page (usually written in HTML). This is typically how web apps are structured.
After making your simple framework, use HTML/CSS to enhance your design and customize your web app however you want.


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Copy source code and paste it to your own page. All source codes/files are inside the demo1.html file and the "\themes\1\" folder
You can choose from 17 transitional effects via the sliderOptions in the js-image-slider.js file.
Visit Online Demo 1 to see how each effect looks and how to customize
Navigation Bullets: a built-in control that does not need any HTML markup. It will be generated automatically by the JavaScript.
The CSS class selector .navBulletsWrapper can be used to change its positon and style.
If you don't want it, just hide it via CSS: div.navBulletsWrapper {display:none;}
HTML Caption: Captions are set through each slide image's alt attribute. If the caption contains HTML content,
you can put the content inside a DIV or SPAN element(usually styled as display:none),
and set the alt as "#(the content container's id)". For example: alt="#caption4"
Free to use when advanced features (integrated thumbnails, video support) are not in use.
Other demos (demo 2 - 6) are using advanced features. They will not work on production server without a valid license.


State of Emergency: Why Chile Is Facing a Crisis
by Alexis Javier Apablaza CamposAfter a month of sometimes deadly demonstrations against inequality, Chile may be making its way toward peace.
A coalition of parties from across the political spectrum says it will support a constitutional referendum next year to decide whether and how Chile’s 1980 Constitution should be changed in response to protester demands.
Read more: Estallido social en Chile: discursos de Piñera bajo la lupa de la inteligencia artificial
Chile’s protest movement, which killed about 23 people, according to the attorney general’s office, began on Oct. 18, 2019 with mass fare evasions on the Santiago Metro after an increase of 30 Chilean pesos – about US$0.04 – on the price of rush hour tickets.
On that day, which ended with 20 subway stations and more than 15 buses set aflame across the capital, President Sebastián Piñera made his first crisis-time speech to the Chilean people: He decreed a state of emergency in Santiago.
Over the next week, Piñera would make a series of speeches aimed – unsuccessfully, it turns out – at quelling the crisis.
All the president’s speeches
Demonstrations, looting and fires occurred in various cities after the transit uprising in Santiago, resulting in curfews being declared across the country on Oct. 19. Chile’s Armed Forces took to the streets to try to restore order and to prevent – during certain hours – free movement through the streets.


{% extends 'base/base-full-background.html' %} {% load static %} {% block info-bar %} {% endblock info-bar %} {% block page_header %} {% endblock page_header %} {% block content %} {#
GBKFIT is an open source high-performance software for galaxy kinematic modelling. It can be used to extract morphological and kinematical properties of galaxies by fitting models to spatially resolved kinematic data. The software can also take beam smearing into acount by using the knowledge of the line and point spread functions.
If you use GBKFIT for work/research presented in a publication (whether directly, or as a dependency to another package), we ask that you cite the GBKFIT Paper (ADS - BibTeX).
We provide the following as a standard acknowledgment you can use if there is not a specific place to cite the paper:
This research made use of GBKFIT, an open source high-performance software for galaxy kinematic modelling (Bekiaris, Glazebrook, Fluke, & Abraham, 2016).
For help or comments regarding this service, please contact Dr. Giorgios Bekiaris at georgios[dot]bekiaris[at]csiro[dot]au
.
This web application was developed with the help of software support resources acquired under the 2017B semester of the ADACS Software Support scheme. All development performed by ADACS has been released on github under the MIT license.


Malaysia's last Sumatran rhino Iman dies, species now extinct in the country
by STEPHANIE LEE of Star Online
KOTA KINABALU: The Sumatran rhino is now extinct in Malaysia, as the last known specimen, a cancer-ridden female named Iman died at the Borneo Rhino Sanctuary on Saturday (Nov 23).
“It is with great sadness that the Sabah Wildlife Department announces the death of Iman, the last Sumatran rhinoceros in Malaysia, at 5.35pm on Nov 23,2019, ” said State Tourism, Culture and Environment Minister Datuk Christina Liew.
“Its death was a natural one, and the immediate cause has been categorised as shock, ” she said.
“Iman was given the very best care and attention since her capture in March 2014 right up to the moment she passed.
"No one could have done more, ” Liew said.
She added that Iman had almost died on several occasions due to sudden massive blood loss from her uterine tumours over the years.
"The team at Tabin provided round-the-clock intensive support and successfully brought her back to good health and egg cell production on several occasions, ” she said.
Sabah Wildlife Department director Augustine Tuuga said Iman’s death came sooner than expected.
“But we knew that she was starting to suffer significant pain from the growing pressure of the tumours into the bladder, ” he said.
The authorities are still hoping that it would still be possible to obtain some egg cells from Iman for the proposed Malaysia-Indonesia collaboration to protect the species.
However, the memorandum of understanding (MoU) has not been signed.
Liew said Sabah was still keen to pursue the MoU despite Iman’s death.
"There are still ways in which we can collaborate based on our different experiences over the past decade, ” she said.
“For Sabah, that includes the management of female Sumatran rhinos with reproductive pathology, safe harvesting of gametes from living rhinos and cell culture, ” she added.
She said Iman and Tam (a male rhino that died on May 27 this year due to kidney and liver damage) both lived on as cell cultures.


-
Tables Without Chairs: A Review
by Christopher Morgan on February 15, 2016
Released late last year from House of Vlad, “Tables Without Chairs #1” throws its readers face-first into an carnival experience courtesy of Bud Smith and Brian Alan Ellis. Combining recurring characters and shout-outs with uncanny art by Waylon Thornton, this book intersperses quips and self-reflection to paint its wild collage. From the get-go, readers find the duo exchanging cover band ideas before moving to hilarious blurbs such as: “Brian Alan Ellis is like a scratch-off...
Read more...
-
Salt is for Curing: A Review
by Christopher Morgan on January 15, 2016
Freshly served by Sator Press, Sonya Vatomsky’s first full-length collection, “Salt is For Curing” uses its dark feasts and folklore to explore the frailty of our memories and bodies. With photography by Sator’s founding editor, the cover’s salt circle invokes and repels darkness, sealing the poems within. Guiding readers through its three courses, Vatomsky’s poetry is a truly generous offering, complete with aperitif and digestif. As the title reminds how we can hold onto things...
Read more...
-
Myth+Magic: A Review
by Christopher Morgan on December 15, 2015
Founded in 2014 by Nicci Mechler, Porkbelly Press is a queer-friendly, feminist press focused on producing limited and small edition, handbound chapbooks. Having already released a few pocket-sized anthologies (inspired by such themes as Emily Dickinson’s life + the art of letters), the press has recently released its fourth compilation, “Myth+Magic,” which features poetry and prose exploring “folk tale, fable, fairy tale, gods, monsters, myth, magic, tricksters, divination, witchcraft, and herbalism.” Adorned with gorgeous cover...
Read more...
-
Animal Problems: A Review
by Christopher Morgan on November 15, 2015
A flagship title from Electric Cereal’s recent press expansion, Katie Foster’s debut collection, “Animal Problems,” reconciles the rift between our human and animal selves, sharing the emotional hurdles in the process. Even the cover art, aptly crafted by Adriana Lafarga, embodies this unique blend of intimacy, instinct, and vulnerability. Equally at home in either allegory or reflection, these poems inhabit speculation and deeper emotions in the same landscape, as we’re told: “Here is / everything...
Read more...
-
THERE WAS SO MUCH BEAUTIFUL LEFT: A Review
by James Leaf on October 15, 2015
there is within humans a certain propensity for our emotional beings to atrophy over time. whatever the different circumstances, we have all known people who have allowed their capacities for love and empathy to deteriorate through small acts of neglect, violence, or pride—the weariness that presses on the bones, attempting to warp them. Raul Alvarez’s THERE WAS SO MUCH BEAUTIFUL LEFT is about that tendency, or, perhaps, about that weariness; about succumbing and remaking, overcoming;...
Read more...


Welcome to the Samsung XR SDK Javadocs
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Beowulf
by Francis Barton Gummere
Chapter 10
Additional Information
- Year Published: 1910
- Language: English
- Country of Origin: England
- Source: Gummere, F.B. (1910) Beowulf New York: P.F. Collier and Son
-
Readability:
- Flesch–Kincaid Level: 11.2
- Word Count: 353
- Genre: Epic
- Keywords: british literature
- ✎ Cite This
Downloads
THEN Hrothgar went with his hero-train,
defence-of-Scyldings, forth from hall;
fain would the war-lord Wealhtheow seek,
couch of his queen. The King-of-Glory
against this Grendel a guard had set,
so heroes heard, a hall-defender,
who warded the monarch and watched for the monster.
In truth, the Geats' prince gladly trusted
his mettle, his might, the mercy of God!
Cast off then his corselet of iron,
helmet from head; to his henchman gave, —
choicest of weapons, — the well-chased sword,
bidding him guard the gear of battle.
Spake then his Vaunt the valiant man,
Beowulf Geat, ere the bed be sought:—
"Of force in fight no feebler I count me,
in grim war-deeds, than Grendel deems him.
Not with the sword, then, to sleep of death
his life will I give, though it lie in my power.
No skill is his to strike against me,
my shield to hew though he hardy be,
bold in battle; we both, this night,
shall spurn the sword, if he seek me here,
unweaponed, for war. Let wisest God,
sacred Lord, on which side soever
doom decree as he deemeth right."
Reclined then the chieftain, and cheek-pillows held
the head of the earl, while all about him
seamen hardy on hall-beds sank.
None of them thought that thence their steps
to the folk and fastness that fostered them,
to the land they loved, would lead them back!
Full well they wist that on warriors many
battle-death seized, in the banquet-hall,
of Danish clan. But comfort and help,
war-weal weaving, to Weder folk
the Master gave, that, by might of one,
over their enemy all prevailed,
by single strength. In sooth 'tis told
that highest God o'er human kind
hath wielded ever! — Thro' wan night striding,
came the walker-in-shadow. Warriors slept
whose hest was to guard the gabled hall, —
all save one. 'Twas widely known
that against God's will the ghostly ravager
him [footnote 1] could not hurl to haunts of darkness;
wakeful, ready, with warrior's wrath,
bold he bided the battle's issue.
Footnotes
1. Beowulf, — the "one."


{% extends 'base.html' %} {% load static %} {% block app_graph %} {% endblock %} {% block content %}
Alex Clark is President and co-founder of ACLARKNET LLC.
He has a Bachelor of Science in Computer Science from Loyola University in Maryland and has worked as a Network Engineer, Software Engineer, Systems Administrator and Technical Team Leader since May 1998.
He is also President & Executive Director of DC Python, a non-profit organization he co-founded to promote and support the use of Python software in DC.
Amy Clark is Business Coordinator and co-founder of ACLARKNET LLC.
She brings many years of professional sales, marketing, management, administrative and financial/legal experience to the ACLARKNET LLC team.
She facilitates the smooth and uncomplicated engagement of our services and ensures the quality, accuracy and efficiency of all ACLARKNET LLC client accounts.
She is also the Secretary and Treasurer of ZPUGDC, INC. / DC Python, a non-profit organization she co-founded in 2008 to promote and support the use of Python software in DC.
Professional in Audio Post Production with 11 years experience. Working on leveling up with Python, Flask, Postgres, Zappa, Lambda and Rust.
Eric is a developer and system administrator located near Dublin, Ireland with recent experience in the fintech/payments industry. As a maintainer of the Pillow project, he has experience with all levels of the Python stack. He has been working with the Python ecosystem for over 15 years.
David has developed software for over 20 years, for a wide variety of purposes. He's made video games look better, helped detect nuclear explosions, enabled architects to design better buildings, and shepherded lots and lots of web traffic. He enjoys being outdoors around his New England home, even when it's just shoveling snow.
Steve Barber has a Bachelor of Science in Computer Science and has been a Computer Scientist at the National Institute of Standards and Technology (NIST) since 1995, where he provides infrastructure support for over 500 scientists performing various kinds of research.
Our talented in-house team also includes technical experts in fields including (but not limited to) UI/UX, product development, GIS and DevOps.
Quincey brings over 3 years of loud barking and super fluffy experience to the ACLARKNET LLC team. He is our team's official "PPP" (Python Programming Pomeranian).


Anarchists vandalise Alexander the Great and 1821 Greek War Hero
by GCTSpread the love
Anarchists vandalised the newly erected statue of Alexander the Great and that of 1821 Greek War of Independence hero, Theodoros Kolokotronis in central Athens last night, in what has become a routine occurrence in the Greek capital for decades.
Statues of historical figures have been a favourite target of anti-establishment groups and this latest vandalism comes as no surprise.
The attack comes as a reaction to the recent Law and Order initiatives undertaken by the conservative Mitsotakis government which includes abolishing the university asylum which prevented police from entering university grounds. As a result of the long standing asylum many criminal and anti-establishment groups exploited it and created terrorist cells and drug labs on campus grounds. A recent investigation of the Economic University premises by police discovered hideouts and firebomb-making labs
Prime Minister Kyriakos Mitsotakis has also commenced a campaign to clean up the notorious Exarchia district in Athens, which has been an anarchist-dominated neighbourhood and remove squatters and anarchists who have taken over abandoned buildings.
*Photo courtesy of Anastasios Kaddas


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Photo Gallery
Stanford Memorial Church - the church used to have an 80' bell tower, which fell in the 1906 earthquake.


| 17 Aug 1969 |
Donald Edmund Wahlberg born, Dorchester MA. |
| 1982 |
Father, also named Donald, abandons family. |
| 1986 |
Joins boy band New Kids On The Block (NKOTB) as the "bad boy." |
| 24 Jun 1990 |
Donnie Walhberg falls through a stage's trap door, nine feet to the ground. Hospitalized for two days, Sarasota Springs NY. |
| 1991 |
NKOTB is the highest-paid entertainment act in America. |
| 27 Mar 1991 |
Sets fire to a hotel carpet in Louisville KY using a bottle of vodka, and is subsequently arrested on an arson charge. Plea bargains the charge down to criminal mischief, ordered to perform fire safety and anti-drug abuse promos. |
| 4 Mar 1993 |
Son, Xavier Alexander, born out of wedlock to future wife Kim Fey. |
| 1994 |
NKOTB sinks into obscurity, never to return. |
| 20 Aug 1999 |
Marries Kim Fey. |
| 20 Aug 2001 |
Son, Elijah Hendrix Wahlberg, born. |


The library contains the explore.js Javascript library.  Read documentation and tutorials to learn how to use it or look at the code of the demos. The library is also available on github here
Data includes server side scripts to pull from APIs, a texture pack (courtesy of solarsystemscope.com, 3D models courtesy of NASA, and the flight paths to date of various deep space probes, also courtesy of NASA.


In case you are interested in Organizing a contest or for any other Queries or Complaints contact:
Anant Agarwal :<PHONE_NUMBER>0
or mail at:
106109009@nitt.edu


public class DetailedCSVReportFactoryImpl extends Object implements DetailedCSVReportFactory
| Constructor and Description |
|---|
DetailedCSVReportFactoryImpl()
|
| Modifier and Type | Method and Description |
|---|---|
String |
description()
Get detailed description printed during the pitest execution.
|
CoverageReporter
|
getCoverageReporter(CoverageData coverageData,
Writer coverageOutput,
Writer locOutput)
|
CoverageReporter
|
getCoverageReporter(CoverageData coverageData,
Writer coverageOutput,
Writer locOutput,
ReportFormatter reportFormatter)
CoverageReporter FactoryMethod
|
FileWriter
|
getFileWriter()
Delegates to FileWriter.getInstance()
|
MutationResultListener
|
getListener(FileWriter fileWriter,
CoverageReporter coverageReporter,
MutationReporter mutationReporter)
Alternative DetailedCSVReportListener Factory Method
|
MutationResultListener
|
getListener(ListenerArguments args,
String coverageFilename,
String locFilename,
String mutationFilename)
Alternative DetailedCSVReportListener Factory Method
|
MutationResultListener
|
getListener(Properties props,
ListenerArguments args)
Main DetailedCSVReportListener Factory Method
|
MutationReporter
|
getMutationReporter(ReportFormatter reportFormatter,
Writer mutationOutput)
MutationReporter Factory Method
|
MutationReporter
|
getMutationReporter(Writer mutationOutput)
MutationReporter Factory Method
|
ReportFormatter
|
getReportFormatter()
Delegates to ReportFormatter.getInstance()
|
String |
name()
Get the name used on pitest's output format configuration .
|
public MutationResultListener getListener(Properties props, ListenerArguments args)
getListener
in
interface MutationResultListenerFactory
props
- Configuration propertiesargs
- Wrapper of common used PITest objects and valuespublic MutationResultListener getListener(ListenerArguments args, String coverageFilename, String locFilename, String mutationFilename)
DetailedCSVReportFactory
getListener
in
interface DetailedCSVReportFactory
args
- Wrapper of common used PITest objects and valuescoverageFilename
- Coverage report filenamelocFilename
- Lines of code report filenamemutationFilename
- Mutation report filenamepublic MutationResultListener getListener(FileWriter fileWriter, CoverageReporter coverageReporter, MutationReporter mutationReporter)
DetailedCSVReportFactory
getListener
in
interface DetailedCSVReportFactory
fileWriter
- Utility object for writing to file abstractioncoverageReporter
- Test coverage report generatormutationReporter
- Mutation test report generatorpublic FileWriter getFileWriter()
DetailedCSVReportFactory
getFileWriter
in
interface DetailedCSVReportFactory
public MutationReporter getMutationReporter(Writer mutationOutput)
DetailedCSVReportFactory
getMutationReporter
in
interface DetailedCSVReportFactory
mutationOutput
- Mutation report file writerpublic MutationReporter getMutationReporter(ReportFormatter reportFormatter, Writer mutationOutput)
DetailedCSVReportFactory
getMutationReporter
in
interface DetailedCSVReportFactory
reportFormatter
- Utility for CSV report formattingmutationOutput
- Mutation report file writerpublic CoverageReporter getCoverageReporter(CoverageData coverageData, Writer coverageOutput, Writer locOutput)
getCoverageReporter
in
interface DetailedCSVReportFactory
coverageData
- Core object for coverage data recoveringcoverageOutput
- Coverage report file writerlocOutput
- Lines of code report file writerpublic CoverageReporter getCoverageReporter(CoverageData coverageData, Writer coverageOutput, Writer locOutput, ReportFormatter reportFormatter)
DetailedCSVReportFactory
getCoverageReporter
in
interface DetailedCSVReportFactory
coverageData
- Core object for coverage data recoveringcoverageOutput
- Coverage report file writerlocOutput
- Lines of code report file writerreportFormatter
- Utility for CSV report formattingpublic ReportFormatter getReportFormatter()
DetailedCSVReportFactory
getReportFormatter
in
interface DetailedCSVReportFactory
public String name()
name
in
interface MutationResultListenerFactory
public String description()
description
in interface org.pitest.plugin.ToolClasspathPlugin
Copyright © 2020. All rights reserved.


Trader Judith:
Would you like to see some of our featured items? Necklaces, earrings, rings... What would you like?
Buy/Sell/Refund.
Ask about the local lord and tax rate.
Quest


Modifying the PSI
The PSI is a read-write representation of the source code as a tree of elements corresponding to the structure of a source file. You can modify the PSI by adding, replacing, and deleting PSI elements.
To perform these operations, you use methods such as PsiElement.add()
, PsiElement.delete()
, and PsiElement.replace()
,
as well as other methods defined in the PsiElement
interface that let you process multiple elements in a single
operation, or to specify the exact location in the tree where an element needs to be added.
Just as document operations, PSI modifications need to be wrapped in a write action and in a command (and therefore can only be performed in the event dispatch thread). See the Documents article for more information on commands and write actions.
Creating the New PSI
The PSI elements to add to the tree, or to replace existing PSI elements, are normally created from text.
In the most general case, you use the createFileFromText()
method of PsiFileFactory
to create a new file that contains the code construct which you need to add to the tree or to use as a replacement
for an existing element, traverse the resulting tree to locate the specific element that you need, and then pass that
element to add()
or replace()
.
Most languages provide factory methods which let you create specific code constructs more easily. For example,
the PsiJavaParserFacade
class
contains methods such as createMethodFromText()
, which creates a Java method from the given text.
When you’re implementing refactorings, intentions or inspection quickfixes that work with existing code, the text that
you pass to the various createFromText()
methods will combine hard-coded fragments and fragments of code taken from
the existing file. For small code fragments (individual identifiers), you can simply append the text from the existing
code to the text of the code fragment you’re building. In that case, you need to make sure that the resulting text is
syntactically correct, otherwise the createFromText()
method will throw an exception.
For larger code fragments, it’s best to perform the modification in several steps:
- create a replacement tree fragment from text, leaving placeholders for the user code fragments;
- replace the placeholders with the user code fragments;
- replace the element in the original source file with the replacement tree.
This ensures that the formatting of the user code is preserved and that the modification doesn’t introduce any unwanted whitespace changes.
As an example of this approach, see the quickfix in the ComparingReferencesInspection
example:
// binaryExpression holds a PSI expression of the form "x == y", which needs to be replaced with "x.equals(y)"
PsiBinaryExpression binaryExpression = (PsiBinaryExpression) descriptor.getPsiElement();
IElementType opSign = binaryExpression.getOperationTokenType();
PsiExpression lExpr = binaryExpression.getLOperand();
PsiExpression rExpr = binaryExpression.getROperand();
// Step 1: Create a replacement fragment from text, with "a" and "b" as placeholders
PsiElementFactory factory = JavaPsiFacade.getInstance(project).getElementFactory();
PsiMethodCallExpression equalsCall =
(PsiMethodCallExpression) factory.createExpressionFromText("a.equals(b)", null);
// Step 2: replace "a" and "b" with elements from the original file
equalsCall.getMethodExpression().getQualifierExpression().replace(lExpr);
equalsCall.getArgumentList().getExpressions()[0].replace(rExpr);
// Step 3: replace a larger element in the original file with the replacement tree
PsiExpression result = (PsiExpression) binaryExpression.replace(equalsCall);
Just as everywhere else in the IntelliJ Platform API, the text passed to createFileFromText()
and other createFromText()
methods must use only \n
as line separators.
Maintaining Tree Structure Consistency
The PSI modification methods do not restrict you in the way you can build the resulting tree structure. For example,
when working with a Java class, you can add a for
statement as a direct child of a PsiMethod
element, even though
the Java parser will never produce such a structure (the for
statement will always be a child of the PsiCodeBlock
)
representing the method body). Modifications that produce incorrect tree structures may appear to work, but they will
lead to problems and exceptions later. Therefore, you always need to ensure that the structure you built with PSI
modification operations is the same as what the parser would produce when parsing the code that you’ve built.
To make sure you’re not introducing inconsistencies, you can call PsiTestUtil.checkFileStructure()
in the tests for
your action that modifies the PSI. This method ensures that the structure you’ve built is the same as what the parser produces.
Whitespaces and Imports
When working with PSI modification functions, you should never create individual whitespace nodes (spaces or line breaks)
from text. Instead, all whitespace modifications are performed by the formatter, which follows the code style settings
selected by the user. Formatting is automatically performed at the end of every command, and if you need, you can
also perform it manually using the reformat(PsiElement)
method in the
CodeStyleManager
class.
Also, when working with Java code (or with code in other languages with a similar import mechanism such as Groovy or Python),
you should never create imports manually. Instead, you should insert fully-qualified names into the code you’re
generating, and then call the shortenClassReferences()
method in the
JavaCodeStyleManager
(or the equivalent API for the language you’re working with). This ensures that the imports are created according to
the user’s code style settings and inserted into the correct place of the file.
Combining PSI and Document Modifications
In some cases, you need to perform a PSI modification and then to perform an operation on the document you’ve just
modified through the PSI (for example, start a live template). In this case, you need to call a special method that
completes the PSI-based post-processing (such as formatting) and commits the changes to the document. The method
you need to call is called doPostponedOperationsAndUnblockDocument()
, and it’s defined in the
PsiDocumentManager
class.


Changing RGB-alpha data from: (50, 150, 250, 255) data input to single digit entry of 10 colours labelled 0 - 9 for easier Machine Learning Tutorials at: http://rocksetta.com/tensorflowjs
0: white
1: black
2: red
3: orange
4: yellow
5: green
6: blue
7: indigo
8: violet
9: brown


Who is Peter Griffin?
Some things are best left unknown.
Click here to learn about Peter anyway!


Global Exclusions
The URLs/domains that should be ignored by the local proxies and scanners/tools. The
Value
is a regular expression matched against the requested target.
See also
Network
the introduction to Network add-on


flux
This module provides a centralized control and notification system to handle all async processes (involving promises) in your application.
It relies on flux-angular as notification mechanism and storage.


Buy, Try, Update to Emissary 1.1,
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Wollongong has been a leader in software-based networking solutions for 15 years. Now, The Attachmate Corporation has acquired Wollongong, and with the new EMISSARY line of products, Attachmate is "The Intranet Company." The Wollongong Group, Inc., now the Attachmate Internet Products Group, is headquartered in Palo Alto, California, with additional operations in McLean, Virginia, Santa Cruz, California, and Bracknell, U.K.
All comments or questions regarding this Web site should be addressed to<EMAIL_ADDRESS>Images and contents of this site are Copyright 1996 by The Wollongong Group, Inc., The Attachmate Corporation, or the respective document owners. and may not be copied or reused without permission except for purposes of reviewing or promoting the Wollongong Web Site or product line.
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Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
BHARBI HAZARIKA
03.22.18
rt Trese wakes up a little before dawn.
The sun is hardly perched in the sky when he buckles his brown shoes and grabs his red flannel.  Trese makes his way down the 3-mile route from Wonder Hills, about the same time it takes for him to listen to a couple of U2 songs. He drives down the gravel road past Miller’s Chicken and finally arrives at his “sanctuary.”
Trese gets asked often, even by his own wife, why is he always there?
He laughs at the question knowingly that he spends nearly 40 hours a week in his one and a half acres hideout.
BHARBI HAZARIKA | SENIOR WRITER
The high tunnel at the community garden on March 12.
Trese is an associate professor of environmental and plant biology at Ohio University. But instead of being cooped up within gray walls like his profession demands, he can mostly be found at his eden, the plant biology learning gardens.
The idea behind creating the gardens on West State Street was first conceived by James Cavender, professor emeritus of environmental and plant biology, in the 1970s as a way for students to explore the origins of food.
Throughout the years, foliage piled over the student farm, camouflaging it with the plains until Trese picked up the project 12 years ago to supplement his sustainable agriculture class. In 2014, it became a part of Theresa Moran’s food studies theme in the College of Arts and Sciences. Moran, assistant professor in the college, said her aim to create a comprehensive food studies program prompted the collaboration with Trese and what she considers to be the secret gardens.
The gardens remained unknown to many OU students until its collaboration with the food studies theme. Julie Scott, a junior studying specialized studies in sustainable agriculture and food systems, credits the garden’s elusive personality to its location.
“It’s kind of obscure,” Scott said. “It’s a long walk from campus.”
The gardens primarily remain as an educational resource. But in recent years, it has started producing food for markets on campus. It is not only used by the university, but Kelsey Bryant, graduate assistant at the learning gardens, said several businesses in Athens have started to buy niche items such as fennel from the gardens.
Now, the gardens’ personality and Trese’s reputation have become indistinguishable within the plant biology department. If students can’t find Trese in his Porter Hall office, they know where to look for him.
owever, finding the gardens in itself is a feat.
In that respect, Trese shares his seemingly hermetic nature with the garden. The facility, which includes a circle garden connected to a high tunnel, hides behind the OU Innovation Center on West State Street. The only visible marker is a poppy-red barn that stands by the gravel road, as if guarding the field.
In the first light of day, Trese rummages through the contents of the barn. His quiet disposition prevails until it’s poked with a question or two about food, and the man opens up like a blossom in spring.
As a thin, pale and shaggy-brown-haired young boy, Trese grew up hungry. He was born in a large family that had just enough food to get by. Every evening at dinner after Trese inhaled his food, the growing boy in him had to come to terms that there wasn’t going to be “more dinner.”
His neighbors introduced him to farming when he was still in high school. Suddenly he was living two lives. He used protractors in school and pitchforks in his backyard.
“Just like that a light went off in my head,” Trese remarked. “I can grow food?!”
The necessity that food created in his childhood set Trese’s frame of mind when he sifted through careers in college and eventually settled as a professor. Now, his duties as an academic revolves around the learning gardens.
“There is just always things to do,” Trese said. “And if there isn’t, I make up something.”
Trese teaches most of his classes within the gardens’ bamboo protected boundaries. The facility has expanded its size, which prompted it to be renamed as the Ohio Student Farm. This semester five students are working at the farm alongside Trese, which includes work/study interns and graduate assistant Bryant.
BHARBI HAZARIKA | SENIOR WRITER
Dr. Art Trese collects things from “The Red Barn” for his class at the community garden on March 12.
Usually, they configure a list of crops that will be reared. Trese buys most of the plant seeds online by comparing prices and quality. He said he gives plenty of weightage to the organic-certified seal, but he also makes sure they are reasonably priced.
The smallholding is mostly home to vegetables and some small grains, but it additionally grows a variety of perennials, bamboos and berries. Scott, a volunteer at the farm, said Trese is always open to the introduction of new plants and ideas.
In his six-hour-day routine in the farm, the 63-year-old spends it either shoveling or digging the land hoping to find a bounty of ideas buried somewhere in the middle of the dirt. He encourages students to think about cultivation in an innovative manner, which has led several of the volunteers to experiment with different plants and seeds.
Trese’s history with food and reverence for it makes him uniquely capable of heading the gardens, but Scott believes his finest trait is that he “doesn’t pretend to know everything” there is to know about farming.
uch like Trese, each of his students have found a reason in the farm.
As Scott’s fingers sink into the dirt she feels the presence of her predecessors. Naturally, when she needs extra help in tilling the patch of strawberry field, next to the tunnel, she calls for her foremothers.
“It’s magical. I am watching something come from nothing, when a tiny seed just blossoms into this huge bounty. I feel like I am part of a whole circle.”Julie Scott, a junior studying specialized studies in sustainable agriculture and food systems
“Grandma! We are doing this,” she yells, stabbing the stubborn earth with her pitchfork.
For students like Scott, farmwork is sacred.
“It’s magical,” Scott says. “I am watching something come from nothing, when a tiny seed just blossoms into this huge bounty. I feel like I am part of a whole circle.”
Each year, Trese involves his students in farming a spring-summer garden as well as an extensive fall garden.
During June and July, the site is flocked with food studies interns, who are usually recruited from Trese’s sustainable agriculture class. Most crops are sowed in black-ridged reusable containers, which are then left to grow. As soon as the weather warms up, the crops are transplanted to the ground.
For the better part of the year, Trese and the students arrive at the gardens early in the morning. As dew settles on the ground they start unclothing the crops that had been wrapped in a protective covering the previous evening.
When the first light drowns the enclosure at dawn, wide-brimmed hats, closed shoes and slouched backs appear among the rows of crops like creatures coming out from the woods to forage for food. And the process of weeding, harvesting and mulching begins.
Bharbi Hazarika | SENIOR WRITER
Bharbi Hazarika | SENIOR WRITER
Bharbi Hazarika | SENIOR WRITER
Bharbi Hazarika | SENIOR WRITER
Bharbi Hazarika | SENIOR WRITER
n the days when they sell the produce, students come in early to reap the crops and wash them in the portable white utility sink that is conveniently stationed in the eastern corner of the garden. The cleansed produce are separated into buckets and cardboard boxes and marked before being loaded onto a truck and shipped to the various locations around Athens.
Visiting assistant professor Thomas Stevenson in the department of human and consumer services likes to surprise his students with produce from the garden for his hospitality classes. He said the sight of colorful vegetables in mismatched shapes and sizes coax the students in his classes to inquire about the origins of food.
• Ohio Student Farm, West State Street Research Site
• Atrium Cafe, Grover Center
• Jeff Marketplace
Scott said the surplus is often donated to the Timothy House, a resource for those experiencing homelessness in Southeast Ohio, or is distributed among the interns, students and volunteers.
Trese hasn’t felt the pangs of hunger in quite a while, but he still claims to be “obsessed” with growing food. Mirroring his reverence, his students often end up taking home bundles of leftover jalapenos and root vegetables from the gardens and freeze much of the produce to preserve them.
Like a ritual, Scott yanks out the take-out boxes from her freezer. As the evening rolls around, she thaws the veggies and prepares a mix of oil and herbs in a cast iron skillet over the stove.
In that moment, food becomes spiritual for her.
“There is something very special about eating a meal where all the food is mostly grown by you or people that you know,” Scott said.
Marcus Pavilonis | ILLUSTRATION
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Look at simulated LSST images. Discover flaws we would otherwise have missed.
Make our simulations and data processing better!
We all want to do science with the data challenge images. However, no data set is perfect, so we need to identify and account for imaging artifacts in our data. This application helps in two ways:
The first step is to check out our Tutorial. The tutorial was written for real DES data, but it should give you a sense for how to use the Exposure Checker.
The basic statistics are computed in real time. More detailed analyses will become available once we have gathered enough submissions, but you can go to our API page and download the anonymized submissions right now.
The code is on github. Please feel free to open a new Issue to let us know what we could fix, add, improve, etc.
If you find particular failure cases and you think they may constitute a new class of artifacts, please feel free to bring them up in the Slack channel #desc-dc2-eyeballs.


{% extends "base.html" %} {% block content %}
Extracts dominating colors from your image
*Image size must be less than 2Mb


Structure modified and atom mark demo
Draw a structure, click on the star icon of the editor and click on one or more atoms
Clear log


If you have some HTML, CSS, JavaScript skills and you're interested in creating your own custom website in Wordpress, you've come to the right place.
Workshop OverviewWelcome to Codeland! Have you been interested in creating your own WordPress website but worried you won't find a theme that's perfect for you? Do you have a WordPress website but you're settling for a mediocre theme design because you couldn’t find the one that works for you? In this workshop, you'll learn how WordPress themes work and create a child theme to finally tailor your website to look exactly how you would like.
The minimum requirements on a Mac are:
OS X 10.9 or greater • 4GB RAM • 1 GB of free disk space • Administrative Access to install
The minimum requirements on Windows:
4GB RAM • 1GB of free Disk Space • Windows 7, 8, 8.1, or 10 • Administrative Access to install • CPU with VT-x or AMD-v support enabled in the BIOS.
Get Started!Here is a cheat sheet on tools, links and terms that will be useful during the workshop.
Before the workshop, use this checklist to make sure your system is ready to go.
Here's a little bit about your workshop leaders.
Angela Andrews is a systems administrator where she specializes in Linux, Windows, and VMware. She is active in her local coding community where she dabbles in HTML, CSS, JavaScript, Java, PHP, SQL, AWS and WordPress development. In her spare time she's always learning new technologies, blogs, and teaches SPINNING, boot camps & HIIT. She started the UPENN College of Liberal and Professional Studies coding bootcamp just this week.
Angela Andrews
Ebonie Butler has her BS degree in Information Technology from Drexel University and, in 2015, she became interested in WordPress as a platform to start blogging about metal music. In late 2016, she participated in the Interactive Mechanics fellowship program, focusing on creating a custom WordPress theme as her final project. At the conclusion of the fellowship, Ebonie started her first developer position with Yikes Inc as a WordPress developer.
Ebonie Butler
#CodelandWP • #Codeland • #Codeland2018
"Women of Color in Tech Chat-Microsoft" by WOCinTech, used under CC BY Angela Andrews / Color Adjusted from orginial


</pfizer> Today marks two important milestones for me – it’s the first time I’ve ever mentioned Pfizer on this blog and after 14 years, it’s my last day working for them. Both those milestones are significant and in their own ways, mark ...
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Matthew Gatland stopped making tiny games | Anti-Patreon Join Matthew Gatland's anti-patreon today! When he misses a deadline, he gives you money!
Cassius - Feeling For You (Official Video) Cassius Discography available now ! 1999 (Deluxe Edition) Download : http://po.st/1999Cassius Stream : http://po.st/1999CassiusStream Au Rêve (Deluxe Edition) Download : http://po.st/CassiusAuReve Stream : http://po.st/CassiusAuReveStream 15 Again (Del...
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Scastie - An interactive playground for Scala Scastie can run any Scala program with any library in your browser. You don’t need to download or install anything.


--- title: Calculating and visualizing error bars for within-subjects designs subtitle: # Summary for listings and search engines summary: This post presents a tutorial for calculating within-subjects error bars with R. # Link this post with a project projects: [] # Date published date: '2019-06-17T00:00:00Z' # Date updated lastmod: '2019-06-17T00:00:00Z' # Is this an unpublished draft? draft: false # Show this page in the Featured widget? featured: false # Featured image # Place an image named `featured.jpg/png` in this page's folder and customize its options here. # image: # caption: 'Image credit: [**Unsplash**](https://unsplash.com/photos/CpkOjOcXdUY)' # focal_point: '' # placement: 2 # preview_only: false authors: - admin # tags: # - Academic categories: - Tutorials - Simulation ---
Personally, I find violin plots with error bars a great way to present repeated-measures data from experiments, as they show the data distribution as well as the uncertainty surrounding the mean.
However, there is some confusion (at least for me) about how to correctly calculate error bars for within-subjects designs. Below, I present my learning process: First, how I’ve calculated the wrong error bars for a long time. I explain why these error bars are wrong and end with calculating and visualizing them correctly (I hope…).
If you’re not interested in the learning process, feel free to immediately go to the final header.
This post closely follows the logic outlined by Ryan Hope for his Rmisc
package here.
UPDATE: Thanks to Brenton Wiernik who pointed out that the Morey method described below is not without criticism. I’ll update this post soon.
Alright, let’s create a data set that has the typical structure of an experiment with a within-participants factor and multiple trials per factor level.
In this case, we create a data set with 30 participants, where each participant gives us a score on three conditions. Say there are trials as well, with each participant providing ten scores per condition.
We start with defining the parameters for our data set: how many participants, the names of the three conditions (aka factor levels), how many trials (aka measurements) each participant provides per condition, and the means and standard deviations for each condition. We assume participants provide us with a score on a scale ranging from 0 to 100.
set.seed(42)
library(Rmisc)
library(tidyverse)
library(truncnorm)
# number of participants
pp_n <- 30
# three conditions
conditions <- c("A", "B", "C")
# number of trials (measures per condition per participant)
trials_per_condition <- 10
# condition A
condition_a_mean <- 40
condition_a_sd <- 22
# condition B
condition_b_mean <- 45
condition_b_sd <- 17
# condition C
condition_c_mean <- 50
condition_c_sd <- 21
Okay, next we generate the data. First, we have a tibble with 30 rows for each of the 30 participants (3 conditions x 10 trials = 30 rows per participant).
dat <- tibble(
pp = factor(rep(1:(length(conditions) * trials_per_condition), each = pp_n)),
condition = factor(rep(conditions, pp_n * trials_per_condition))
)
However, simulating data for a condition across all participants based on the same underlying distribution disregards that there are differences between participants. If you know mixed-effects models, this will sound familiar to you: it’s probably not realistic to assume that each participant will show a similar mean for each condition, and a similar difference between conditions.
Instead, it makes sense that a) each participant introduces systematic bias to their scores (e.g., pp1
might generally give higher scores to all conditions than pp2
, or pp3
might show a larger difference between conditions than pp4
), and b) there’s a bit of random error for everyone (e.g., sampling error).
Thus, we try to simulate that error.
pp_error <- tibble(
# recreate pp identifier
pp = factor(1:pp_n),
# some bias for the means we use later
bias_mean = rnorm(pp_n, 0, 6),
# some bias for the sd we use later
bias_sd = abs(rnorm(pp_n, 0, 3)),
)
# some random error per trial
error <- rnorm(900, 0, 5)
Next, we simulate the whole data set. For each participant and condition, we sample ten trial scores.
However, rather than sampling just from the mean and standard deviation we determined above for the respective condition, we also add the bias of each specific participant in their (1) means per condition and (2) variability around the means per condition. After that, we add the extra random error.
Because our scores should fall within 0 and 100, we use a trunctuated normal distribution function from the truncnorm
package.
dat <- left_join(dat, pp_error) %>% # add the bias variables to the data set
add_column(., error) %>% # add random error
group_by(pp, condition) %>%
mutate(
score = case_when(
# get 10 trials per participant and condition
condition == "A" ~ rtruncnorm(trials_per_condition, a = 0, b = 100,
(condition_a_mean + bias_mean),
(condition_a_sd + bias_sd)),
condition == "B" ~ rtruncnorm(trials_per_condition, a = 0, b = 100,
(condition_b_mean + bias_mean),
(condition_b_sd + bias_sd)),
condition == "C" ~ rtruncnorm(trials_per_condition, a = 0, b = 100,
(condition_c_mean + bias_mean),
(condition_c_sd + bias_sd)),
TRUE ~ NA_real_
)
) %>%
mutate(score = score + error) %>% # add random error
# because of error, some trials got outside boundary, clip them again here
mutate(
score = case_when(
score < 0 ~ 0,
score > 100 ~ 100,
TRUE ~ score
)
) %>%
select(-bias_mean, -bias_sd, -error) # kick out variables we don't need anymore
If we take a look at the ten first trials of the first participant, we see that our simulation appears to have worked: there’s quite a lot of variation.
## # A tibble: 10 × 3
## # Groups: pp, condition [3]
## pp condition score
## <fct> <fct> <dbl>
## 1 1 A 68.3
## 2 1 B 61.1
## 3 1 C 75.9
## 4 1 A 59.0
## 5 1 B 31.3
## 6 1 C 59.1
## 7 1 A 29.2
## 8 1 B 47.4
## 9 1 C 46.6
## 10 1 A 34.9
Let’s have a look at the aggregated means and SDs. Indeed, there’s quite some variation around each condition per participant, so we have data that resemble messy real-world data. Let’s visualize those data.
dat %>%
group_by(pp, condition) %>%
summarise(agg_mean = mean(score),
agg_sd = sd(score)) %>%
head(., n = 10)
## `summarise()` has grouped output by 'pp'. You can override using the `.groups`
## argument.
## # A tibble: 10 × 4
## # Groups: pp [4]
## pp condition agg_mean agg_sd
## <fct> <fct> <dbl> <dbl>
## 1 1 A 53.4 29.0
## 2 1 B 50.6 14.2
## 3 1 C 62.7 12.1
## 4 2 A 43.0 19.7
## 5 2 B 43.0 16.2
## 6 2 C 44.7 22.4
## 7 3 A 52.5 25.3
## 8 3 B 46.7 21.8
## 9 3 C 59.8 17.3
## 10 4 A 45.3 25.2
Creating the violin plot follows the same logic as all other ggplot2
commands.
ggplot(dat, aes(x = condition, y = score)) +
geom_violin()
We can already see that the group means seem to increase from left to right, just as we specified above.
To make it easier to see that, we need to add a second layer, namely the means plus error bars.
ggplot
doesn’t take those from the raw data, but we need to provide them by calculating and storing means and standard error ourselves.
We can then feed those calculations to the ggplot layer.
If you’re like me, you had to look up the formula for the standard error. Here it is:
\[SE = \frac{SD} {\sqrt{n}}\]
Thankfully, the summarySE
command from the Rmisc
by Ryan Hope calculates the SE for us, plus the 95% CI interval around the SE.
dat_summary <- summarySE(dat,
measurevar = "score",
groupvars = "condition")
dat_summary
## condition N score sd se ci
## 1 A 300 42.11566 21.97562 1.268763 2.496837
## 2 B 300 45.89995 19.77976 1.141985 2.247347
## 3 C 300 50.47729 22.07185 1.274319 2.507770
Okay, now that we have the means and standard errors per group, let’s put them on top of the violins.
ggplot(dat, aes(x = condition, y = score)) +
geom_violin() +
geom_point(aes(y = score), data = dat_summary, color = "black") +
geom_errorbar(aes(y = score, ymin = score - ci, ymax = score + ci),
color = "black", width = 0.05, data = dat_summary)
Cool, at this point it looks like we’re done. Except that we’re not.1 What’s going on?
Let’s have a look at the summary statistic again:
dat_summary
## condition N score sd se ci
## 1 A 300 42.11566 21.97562 1.268763 2.496837
## 2 B 300 45.89995 19.77976 1.141985 2.247347
## 3 C 300 50.47729 22.07185 1.274319 2.507770
Inspecting N shown by summarySE
, we see that the summary statistics take all 300 rows per condition (30 participants x 10 trials) into account when calculating the standard error.
The formula once more:
\[SE = \frac{SD} {\sqrt{n}}\]
By increasing the denominator2, we artificially decrease the size of the SE, although we know that we don’t have 300 participants. We have 30 participants. This is crucial: we want to summarize the variability for these 30 participants, not for all observations.
This also means we should take a look at the SDs. Here’s the formula for the standard deviation:
\[SD = \sqrt{\frac{1} {N - 1} \sum_{i = 1}^{N} (x_i - \bar{x})^2}\]
Actually, the SDs we obtained from dat_summary
are quite large, which makes sense because they summarize the variability of all observations – so all 300 trials per condition.
That is, the formula above is sensitive to the considerable variability within each condition that we have introduced earlier in the simulation.
Thus, the summary statistics that we calculated are not the ones we’re looking for3. We want to summarize the variability of the 30 participants per condition, not the 300 observations per condition. We need to calculate SE taking into account that we know that we have multiple measurements per participant.
Thus, we first aggregate the data, so we calculate the average score per participant.
dat_agg <- dat %>%
group_by(pp, condition) %>%
summarise(mean_agg = mean(score))
## `summarise()` has grouped output by 'pp'. You can override using the `.groups`
## argument.
head(dat_agg, n = 10)
## # A tibble: 10 × 3
## # Groups: pp [4]
## pp condition mean_agg
## <fct> <fct> <dbl>
## 1 1 A 53.4
## 2 1 B 50.6
## 3 1 C 62.7
## 4 2 A 43.0
## 5 2 B 43.0
## 6 2 C 44.7
## 7 3 A 52.5
## 8 3 B 46.7
## 9 3 C 59.8
## 10 4 A 45.3
Alright, now let’s calculate the means and SE again, based on these aggregated means.
dat_summary2 <- summarySE(dat_agg,
measurevar = "mean_agg",
groupvars = "condition")
dat_summary2
## condition N mean_agg sd se ci
## 1 A 30 42.11566 9.308671 1.699523 3.475915
## 2 B 30 45.89995 7.393815 1.349920 2.760896
## 3 C 30 50.47729 9.290633 1.696230 3.469179
These are different than the previous ones (except for the means, of course). Besides the correct sample size of 30, you will also note that we now have smaller SDs per condition. That makes sense, because this time we obtain the SD based on a measure per participant per condition (only 30) which is a more accurate measure than providing the SD of all observations (the full 300).
Let’s plot that one more time.
ggplot(dat, aes(x = condition, y = score)) +
geom_violin() +
geom_point(aes(y = mean_agg), data = dat_summary2, color = "black") +
geom_errorbar(aes(y = mean_agg, ymin = mean_agg - ci, ymax = mean_agg + ci),
color = "black", width = 0.05, data = dat_summary2)
Alright, are we done? Nope. Turns out those SEs are still not entirely correct.
So what’s wrong the SEs this time? If we had a between-subjects design, so if the scores for each condition came from different participants, then we’d be done. However, we have a within-subjects design, meaning we have one aggregated score per participant per condition – so each participant has multiple scores. Remember how we introduced additional variability for each participant plus random error when we simulated the data? These two sources of variability are now conflated with the difference between conditions that we’re interested in plotting. This is similar to presenting the results of an independent samples t-test rather than a paired samples t-test.
Consequently, we need a way to disentange the variability around the true difference between conditions from the variability of each participant and random error.
Thankfully, people much smarter than I have done this already.
I’m not going to pretend I understand exactly what he did, but Morey (2008) describes such a method, and Ryan Hope has implemented Morey’s method in the Rmisc
package that we’ve been using in this post.
However, so far I called the summarySE
function, which provides summary statistics for between-subjects designs.
In other words, I made a mistake: that function was not appropriate for our design.
Luckily, the package also has a summarySEwithin
function that provides correct SEs.
Here we specify the measurement, what variable specifies the within-subjects condition, and, crucially, the variable that signals that the measurements come from the same participant.
Note that we used the data set with aggregated means.
dat_summary3 <- summarySEwithin(dat_agg,
measurevar = "mean_agg",
withinvars = "condition",
idvar = "pp")
dat_summary3
## condition N mean_agg sd se ci
## 1 A 30 42.11566 8.102615 1.4793284 3.025566
## 2 B 30 45.89995 5.323399 0.9719152 1.987790
## 3 C 30 50.47729 8.058000 1.4711828 3.008907
Now, finally, we can create our plot with correct SE. You can decide for yourself whether you want error bars that represent the 95%CI of the SE, or whether the error bars represent one SE. I prefer plotting the 95%CI.
ggplot(dat, aes(x = condition, y = score)) +
geom_violin() +
geom_point(aes(y = mean_agg), data = dat_summary3, color = "black") +
geom_errorbar(aes(y = mean_agg, ymin = mean_agg - ci, ymax = mean_agg + ci),
color = "black", width = 0.05, data = dat_summary2)
While we’re at it, let’s make the graph a bit prettier.
ggplot(dat, aes(x = condition, y = score)) +
geom_violin(aes(fill = condition), color = "grey15") +
geom_point(aes(y = mean_agg), data = dat_summary3, color = "black") +
geom_errorbar(aes(y = mean_agg, ymin = mean_agg - ci, ymax = mean_agg + ci),
color = "black", width = 0.05, data = dat_summary2) +
labs(x = "Condition", y = "Score") +
theme_classic() +
scale_color_grey() +
scale_fill_grey() +
theme(legend.position = "none",
strip.background.x = element_blank())
If we’d present this figure in a paper though, we should explicitly state in the figure caption what those error bars represent. After all, we’re doing something strange here: we show all of the raw data (i.e., violin plots) plus means, yet the uncertainty arround these means is not that of the raw data, but expressed taking into account the design that produced these data (i.e., within-subject design).
For example, we could write something along these lines:
Violin plots represent the distribution of the data per condition. Black points represent the means; bars of these points represent the 95% CI of the within-subject standard error (Morey, 2008), calculated with the Rmisc package (Hope, 2013).
Alright, that’s it. Thanks a lot to Dale Barr for proof reading this post and helpful feedback. If you have suggestions, spotted a mistake, or want to tell me I should stay away from R, let me know in the comments or via Twitter.


This chapter describes the theory underlying each ANSYS element. The explanations are augmented by references to other sections in this manual as well as external sources.
The table below the introductory figure of each element is complete, except that the Newton-Raphson load vector is omitted. This load vector always uses the same shape functions and integration points as the applicable stiffness, conductivity and/or coefficient matrix. Exceptions associated mostly with some nonlinear line elements are noted with the element description.


#include <state.hpp>
Definition at line 37 of file state.hpp.
◆ method
◆ ~state()
| fc::rpc::state::~state |
( |
| ) |
|
◆ add_method()
| void fc::rpc::state::add_method |
( |
const std::string & |
name, |
|
|
method |
m |
|
) |
| |
◆ close()
| void fc::rpc::state::close |
( |
| ) |
|
◆ handle_reply()
| void fc::rpc::state::handle_reply |
( |
const response & |
response | ) |
|
◆ local_call()
| variant fc::rpc::state::local_call |
( |
const string & |
method_name, |
|
|
const variants & |
args |
|
) |
| |
◆ on_unhandled()
| void fc::rpc::state::on_unhandled |
( |
const std::function< variant(const string &, const variants &)> & |
unhandled | ) |
|
◆ remove_method()
| void fc::rpc::state::remove_method |
( |
const std::string & |
name | ) |
|
◆ start_remote_call()
| request fc::rpc::state::start_remote_call |
( |
const string & |
method_name, |
|
|
variants |
args |
|
) |
| |
◆ wait_for_response()
| variant fc::rpc::state::wait_for_response |
( |
const variant & |
request_id | ) |
|
The documentation for this class was generated from the following files:


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Help Resources
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Finding Help with your MegaSquirt:
An abundance of
information has been compiled for MegaSquirt providing enough
information to successfully get your vehicle going on EFI and running
at its best. However, all this documentation can seem overwhelming to
wade through. This list of resources and key understandings hopefully
help you to get the answers you need. You will find it helpful to first
understand the separate components to get to the help you need.
Firmware Manuals:
The help files available here are specific to the use of TunerStudio.
Setup and Tuning of the controller can be very specific to your
Controller and Controllers firmware. For more information on the setup
and tuning of your controller, check with the reseller or their web
site for additional documentation specific to your controller.
©2010 EFIAnalytics.com


{% extends 'main.html' %} {% block title %} {{ _('Services') }} {% endblock %} {% load static %} {% block content %} {{ _('service_header_text') }} {{ _('service_sub_text') }} {% for service in services %} {{ service.icon |safe }} {{ service.title }} {{ service.short_description |safe }} {% endfor %} {{ _("Think we're the agency for you?") }} {{ _("Then get in touch. We'd love to hear from you.") }} {% for service in services %} {{ service.title }} {% endfor %} {{ _('Send') }} {% endblock %}
{{ _('service_sub_text') }}
{{ service.short_description |safe }}
{{ _("Then get in touch. We'd love to hear from you.") }}


Presented by MayanDev
Today, we are gonna talk about the jQuery.
What is jQuery?
What jQuery can do?
Why do we use jQuery?
You will figure it out when I finish this report.
You need some HTML, CSS and JavaScript skills to be able to use jQuery effectively.
OK, let's begin!
First, we should understand a conception.
Well, the DOM stands for "Document Object Model" blah blah blah...
Let's just see a series pictures.
But the HTML you write is paresed by the browser and turned into the DOM.
It's a visual representation of the DOM!
So, What is the DOM diffrent than the HTML?
See the code, please!

As you can see, the content in
 lablel is empty.
What if...

The element has added in this page.
jQuery promotes simplicity.
All we need is just a single letter: $.
$("button").click(function(){
$("p").text('Hello jQuery!');
});
Hello World!
$("button").click(function(){
$(".helloText").css('color','#42affa');
});
Hello jQuery!
$("button").click(function(){
$("#hello_text").hide();
});
Hello jQuery!
| Syntax | Description |
|---|---|
| $("*") | select all element |
| $("p:first") | select first
 |
| $("[href]") | select the element with 'href' attribute |
| $("tr:even") | select the
 element at even positions |
| ... | ... |
| Mouse Event | Keyboard Event | Form Event | Window Event |
|---|---|---|---|
| click | keypress | submit | load |
| dblclick | keydown | change | resize |
| mouseenter | keyup | focus | scroll |
| mouseleave | blur | unload | |
| ... | ... | ... | ... |
$("#p1").mouseenter(function(){
alert('Your mouse entered!');
});
Move you mouse here.
$("input").keypress(function(){
$("#keypress_num").text(i+=1);
});
enter you name:
Press Number: 0
$("input").focus(function(){
$("span").css("display","inline").fadeOut(2000);
});
You name is?
Press input to focus.
$(window).resize(function(){
$("span").text(x+=1);
});
window resize 0 times.
Try to resize the window.
$("#button1").click(function(){
$("#div1").fadeIn();
$("#div2").fadeIn("slow");
$("#div3").fadeIn(3000);
});
$("#button2").click(function(){
$("#div1").fadeOut();
$("#div2").fadeOut("fast");
$("#div3").fadeOut(2000);
});
$("#flip").click(function(){
$("#panel").slideDown("slow");
});
$("button").click(function(){
$("div").animate({left:'1000px'});
});
Now, you should be able to answer the question when I first raised up.
[1] runoob.com/jquery
[2] css-tricks.com/dom
[3] www.w3school.com.cn/jquery
[4] reveal.js


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My name is Julisa Bana Abraham
I'm a fresh graduate master of engineering program from Universitas Gadjah Mada. I'm studying for a M.Eng in Informatics.
I have a bachelor degree from Universitas Gadjah Mada majoring in Nuclear Energy Technology
Research interest: intelligent systems, Bioinformatics, Data Mining, Time series analysis, Computer vision
Feel free to contact me