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teammalaysia
2018-06-04
Illustration #6 - Side face
drawing
2018-06-03
Feeding my stomach with Steem for the first time | Steem 祭五脏庙
steem
2018-05-31
Consistent but slow VS go big or go home style of mining?
mining
2018-05-29
Last warning, make your EOS yours while you still can! | 刻不容缓
eos
2018-05-28
Mining the CryptoNight coins with casual PC | 挖矿
mining
2018-05-23
Illustration #5 - Asimov
art
2018-05-20
Illustration #4 - Clone
illustration
2018-05-17
Illustration #4 - Bots war
drawing
2018-05-15
Correct the swimming style, minnows | 小鱼之道
steemit
2018-05-14
I'm finalised in Cindicator Insight Challenge 进入五强
cindicator
2018-05-11
Smart contract saved me some ETH from a potential ICO scam
ico
2018-05-06
SmartCash#1 - My first crypto node setup for a passive income
smartcash
2018-05-01
Bitcoin is a gamble or investment?
bitcoin
2018-04-25
Steemit just removed a little but useful benchmark
busy
2018-04-24
Checksum tools in Windows
security
2018-04-22
Switch from Lastpass to Bitwarden
security
2018-04-19
The best way to crack Photoshop CC
piracy
2018-04-15
Overhead camera rig DIY with PVC tubes
diy
2018-04-13
Steem is telling the jackpot result in advance again
steem
2018-04-12
EOS the top 5 coin!
eos
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{{job.title}} at {{job.hiringOrganization.name}}
{{job.jobLocation.address.addressLocality}}{% if job.jobLocation.address.addressRegion %}, {{job.jobLocation.address.addressRegion}}{% endif %}
| Reference | {{job.jobReference}} |
| Location | {{job.jobLocation.address.addressLocality}}{% if job.jobLocation.address.addressRegion %}, {{job.jobLocation.address.addressRegion}}{% endif %} |
| Salary | {% if job.minSalary %}{{job.minSalary}} — {% else %}{% endif %} {% if job.maxSalary %}{{job.maxSalary}}{% endif %} |
| Incentive compensation | {{job.incentiveCompensation}} |
| Work hours | {{job.workHours}} |
| Employment type | {{job.employmentType}} |
| Job benefits | {{job.jobBenefits}} |
| Closing date | {{ job.dateClosing }} |
Responsibilities
{{job.responsibilities | safe}}
{% endif %} {% if job.skills %}Skills
{{job.skills | safe}}
{% endif %} {% if job.qualifications %}Qualifications
{{job.qualifications}}
{% endif %} {% if job.experienceRequirements %}Experience requirements
{{job.experienceRequirements}}
{% endif %} {% if job.educationRequirements %}Education requirements
{{job.educationRequirements}}
{% endif %} {% if job.description %}Job description
{{job.description | safe}}
{% endif %}


.footer
should be after .main-content
and has the following markup:
...
mustache/app/views/layouts/partials/default/footer.mustache
.main-content
is a normal sidebar(i.e. not horizontal), you should move .footer
and put it next to .page-content
.


Demo of a basic raytraced scene, displayed with WebXR (Readme, Github).
VR not foundAR not found
Select shader:
Goursat Pentagram Iq's Menger Sponge


{# Copyright (C) 2011 University of Southampton #} {% extends "base_clean.html" %} {% load url from future %} {% block title %}PROVServer: About{% endblock %} {% block header %}
The Provenance Server is a web service that allows you to store, browse and manage your provenance bundles. The server can be accessed via this Web interface or via the REST API (using an API key or OAuth authentication).
This service was built upon the prov
package, which provides an Python implementation of the PROV specifications being standardised
at the W3C Prov Working Group.
The web server is built on Django
Web framework.
The ProvPy package and this service are funded by an EPSRC grant (EP/H500243/1) and by the ORCHID Programme.


With some help from some people on the fc-solve-discuss list and off the list (namely Amadiro from the University of Oslo and someone else that I met on IRC , I ran my solvers on the first 400,000 Windows Freecell deals with only two available freecells to see how many of them can be solved.
Here is the report:
| Start Index | End Index | Solved | Impossible | Intractable |
|---|---|---|---|---|
| 1 | 32,000 | 25,381 | 6,619 | 0 |
| 32,001 | 50,000 | 14,302 | 3,698 | 0 |
| 50,001 | 100,000 | 39,775 | 10,225 | 0 |
| 100,001 | 400,000 | 238,415 | 61,584 | 1 (No. 384243) |
| Total | 317,873 | 82,126 | 1 |
So about 79.47% of the deals can be solved and the rest are impossible. The only intractable deal that none of my solvers could yield a verdict for is No. 384,243, and it spans a very large number of states:
The dbm_fc_solver got into Reached 12,821,000,000 ;
States-in-collection: 13,620,999,440
before it failed to produce more results due to a limitation of the
hardware where it was deployed on.
The depth_dbm_fc_solver yielded this:
Reached 13,763,700,000 ; States-in-collection: 16,226,294,490 ; Time:<PHONE_NUMBER>.520408 Queue Stats: inserted=16,226,294,490 items_in_queue=2,462,594,490 extracted=13,763,700,000
with a curr_depth of 38. However, that solver may have some yet undiscovered bugs.
So what's next? I’d like to investigate some ways to scale to a larger number of states, perhaps by creating a distributed solver. A Google search for distributed breadth first search yields some results:
I hope you enjoy the statistics for the time being.


Company Introduction
Self-Driving Vehicle Vendor
Product
give 'Safety' to people
Mission
차량
안전
FPGA 기반 차량용 칩 생산


Take a look at the food below and tap all that are delicious to you.
Take a look at the food below and tap all that are delicious to you.
Compare the food pair below and tap on whichever is delicious to you.
(Press on if neither of them fits to your taste)
Drag each food item to a bucket below. (20/20)
Yummy
No Way
Powered by Bootstrap and


A couple of idea gathered from various readings about Web design, in brief.
Key aspects
- Usability is more important than visual design.
- Quality and credibility are essential.
- Simplicity: KIS principle.
- Consistency: yes, con-si-sten-cy!!!
- 80/20 rule (Pareto principle): 80% of result comes from 20% of the users. Identify these 20% and optimise the site for them.
Conventions
- Stick on conventions: reduce the learning curve by building on existing user’s knowledge.
- Innovate only when you know you have a better idea.
- Baby-Duck-syndrome: users tend to stick with the first design they learn.
General layout
- Visible language: organise - economise (simplicity + clarity + distinctiveness + emphasis).
- Law of proximity: group elements spatially for a better perception of their relationship.
- Split large pages: web pages are not books. Split large content into several pages and make navigation between them obvious, simple and handy.
- Feature exposure: 1-2-3-done step, large buttons with visual effects = modern web design, … but modern web designs are also criticised for that!
- Adjust the layout for different sizes (think smartphone -> tablet -> PC)
Graphical elements
- Fonts: limit their number. Max three fonts in max three point sizes.
- Page width: max 18 words/50-80 characters per lines. Constrain max page width to match it.
- White space: reduce cognitive load, help users to scan the page effectively with large white spaces.
- Images: pictures are eye-catching, use them wisely to convey the message and/or focus attention.
- Icons should be used where they can easily be recognised (e.g., RSS-feed, Home, Search button, …). Fonts Awesome or equivalent are very useful here.
Effective communication
- Rapid information: the first page must be quickly informative about the site content and about recent changes. Here is an example of a site pushing this concept very (too?) far.
- Inverted pyramid: place summary and major points or conclusions at the top of an article.
- Go directly to the point, e.g., “Free service, sign up here”. Even better if “Free” stands out. Use short and concise phrases.
- Effective writing: do not write web pages like textbooks. Avoid promotional writing, avoid long paragraphs without images, or words in bold (arghh! But I like this), italic or with links.
- Videos. Use (and abuse) of very short video presentations as complimentary material, but only to convey the message (no funny cats videos, just to amuse -and distract- your readers!). Think also at animated gifs.
Usability
- Scan-click-behaviour: users don’t read but scan pages and click in the first link that looks more or less to what they are looking for. Keep this in mind 110% of the time when designing/writing a web page.
- Banner-blindness: users are used to advertisements and thus, tend to ignore large and colourful banners that look like advertisements.
- Focus attention: use eye-catching elements (pictures, bold text, …) wisely to gently direct the reader. Avoid flashing elements or animations that catch too much attention and are distracting, on the contrary.
- Immediate intuition. Any product that needs a manual to work is broken, this is certainly the case for web sites: web page should be obvious and self-explanatory.
Perception
- Features exposition: let the user see clearly what functions are available.
- Give control: users want to have control all the time.
- Impatience: web users are impatient and want instant return.
- 2-second-rule. Regarding reactivity, avoid anything that would take more than two seconds to load.
Test your design
- Test early, test often TETO-principle
- Test is an iterative process: change - test - change - test, etc.
- Test with naive/new users (and don’t trust your own feeling: you, as the designer, are not a naive/new user)
- Test on all browser configurations that will be used at least 80% of the time (think about the Pareto principle), and make sure to provide readable -but not necessarily optimised- fallback solutions for the rest, e.g., very old browsers, or Javascript disabled.
Miscellaneous
- Copyright: think about license for your site, your data, your images. Don’t enfringe others rights. Give due credits, in particular for pictures you use.
- Printing style for HTML pages: look how your page look like when printed, if it is pertinent, and design special CSS code for printed material.
- Inspiration: scan web sites with a critical eye. Get inspired by good ideas.
- Images and binary resource should be kept outside version control repositories as much as possible, but it complexifies the whole system.
- URL shortener: good for short-term use, but to be prohibited for web sites, unless you have full control on them, including the URL they point to, in order to adapt them (e.g., Rebrandly).
- Static pages: you can go very far with static pages generated with Jekyll or Hugo, and you get also full reproducible production including data analysis using Bookdown or Blogdown.


Experience - First time
Setting - my bedroom
I had just recently gotten some 5-MeO-DMT. It has been a psychedelic I've been interested in for some time. However the effects really intimidate me. From what I had heard and read in reports it seems to be a very frightening experience. After receiving this chemical, I felt even more anxious about trying it.
I decide the best course of action would be to try a very low dose and work my way up. I would rather get a feel for things rather than have them come full blast and scare me away from it. I carefully weighed out 2-3mg. I put it on a piece of tin foil with a straw right above it. I then held a lighter underneath the foil and sucked down the vapor.
2:20PM - The vapor goes down into my lungs. It doesnt burn nearly as bad as I had been told. It also isn't too foul of a taste.
2:20.20 - I already feel the effects. I predicted at this dose I would possibly feel I had a chemical in me, but this is more than that.
2:20.30 - I hear a bell sound. I then realize it is not a bell, but my heart beat. It has seemed to increase tremendously. But rather than a thump, it is a ringing. There is a strong body feeling now. It almost feels as though I'm shedding my skin. I feel as though I being wiped clean.
2:21 - The effects increase.  Mental effects are not present though.
2:22 - Effects continue. It feels like I have been like this for ages, but the clock says 2 minutes. I look back and forth. Everything looks normal except it seems to move towards me and away along with the contractions of my head.
2:23 - Effects are tapering. This lasted shorter than I had expected. I was thinking it would go for 5-10 minutes. But I assume this was due to my low dose. The bell sound of my heart persists but the feeling in my head is fading now.
2:25 - Main effects have left but I still feel different. I feel VERY large as I walk around my house. I feel like I do not fit. My hands also feel very far from my body. Sounds seem a bit distorted as well.
2:45 - I feel completely normal.
-------------------------------
I was rather shocked by how I felt off such a low dose. I had been told I should try 6mg my first time. I am glad I picked 2mg though. The effects were strong, but not necessarily intense. On the net, it says that a threshold dose is 1-2mg smoked. I definitely experienced more than what I would consider threshold effects. Im writing this a little before 3PM. I have been feeling sober for roughly 15 minutes now.
I wonder why this was so much for such a low dose. Perhaps I am just very sensitive to 5-MeO-DMT. Regardless, I am very glad I started small.
I think some more trials are definitely in order with this bizarre chemical.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


ADVENT
20 DECEMBER
ENTRANCE ANTIPHON
A branch shall sprout from the root of Jesse, and the glory of the Lord will fill the whole earth, and all flesh will see the salvation of God.
COLLECT
O God, eternal majesty, whose ineffable Word the immaculate Virgin received through the message of an Angel, and so became the dwelling-place of divinity, filled with the light of the Holy Spirit; grant, we pray, that by her example, we may in humility hold fast to your will. Through our Lord Jesus Christ, your Son, who lives and reigns with you in the unity of the Holy Spirit, one God, for ever and ever.
PRAYER OVER THE OFFERINGS
Look, O Lord, we pray, upon the one sacrifice of your Son, that by participating in this mystery, we may possess at last the gifts we have awaited and for which our faith bids us hope. Through Christ our Lord.
COMMUNION ANTIPHON
The angel said to Mary: Behold, you will conceive and bear a son, and you shall name him Jesus.
PRAYER AFTER COMMUNION
Grant
divine protection, O Lord, to those you renew with this heavenly gift, that to
those who delight in your mysteries, you may give the joy of true peace.
Through Christ our Lord.


Vitalis Album
Search
Search Images Location
{% for location in location %}
{{location.location_name}}
{%endfor%}


Berkeley DB includes tools to simplify the development of application-specific logging and recovery. Specifically, given a description of the information to be logged, these tools will automatically create logging functions (functions that take the values as parameters and construct a single record that is written to the log), read functions (functions that read a log record and unmarshall the values into a structure that maps onto the values you chose to log), a print function (for debugging), templates for the recovery functions, and automatic dispatching to your recovery functions.


Taxation Law (Amendment) Bill introduced in LS to cut corporation tax rate
The bill seeks to provide for a unified financial regulator for IFSCs
by Press Trust of IndiaFinance Minister Nirmala Sitharaman introduced the Taxation Law (Amendment) Bill in Lok Sabha on Monday that seeks to cut corporate tax rate.
She also introduced the International Financial Services Centre Authority Bill amid sloganeering by opposition members over the issue of government formation in Maharashtra.
The bill seeks to provide for a unified financial regulator for IFSCs.


◆ Circle() [1/2]
| com.aarrelaakso.drawl.Circle.Circle |
( |
| ) |
|
Construct a circle with a default implicit radius.
◆ Circle() [2/2]
Construct a circle with an implicit radius.
- Parameters
-
| implicitRadius | The implicit radius of the new circle. |
◆ [static initializer]()
| com.aarrelaakso.drawl.Shape.[static initializer] |
( |
| ) |
|
|
staticpackageinherited |
◆ getAbove()
| Shape com.aarrelaakso.drawl.Shape.getAbove |
( |
| ) |
|
|
inherited |
Get this Shape's neighbor above (this Shape is below that one), if any.
- Returns
- the Shape to the right of this one, if any;
null
otherwise.
◆ getBelow()
| Shape com.aarrelaakso.drawl.Shape.getBelow |
( |
| ) |
|
|
inherited |
Get this Shape's neighbor below (this Shape is below that one), if any.
- Returns
- the Shape to below this one, if any;
null
otherwise.
◆ getExplicitDiameter()
Get the explicit diameter of this Circle.
- Returns
- The explicit diameter of this Circle, or
null
if the explicit radius of this Circle has not been set.
◆ getExplicitHalfHeight()
◆ getExplicitHalfWidth()
◆ getExplicitHeight()
Get the explicit height of this Circle.
- Returns
- the explicit height of this Circle, or
null
if the explicit radius of this Circle has not been set.
◆ getExplicitRadius()
Get the explicit radius of this Circle.
- Returns
- The explicit radius of this Circle, or
null
if the explicit radius of this Circle has not been set.
◆ getExplicitWidth()
Get the explicit width of this Circle.
- Returns
- The explicit width of this circle, or
null
if the explicit radius of this Circle has not been set.
◆ getExplicitXPositionCenter()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getExplicitXPositionCenter |
( |
| ) |
|
|
protectedinherited |
Gets the explicit x-position of this Shape.
- Returns
- the explicit x-position of this Shape.
◆ getExplicitXPositionLeft()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getExplicitXPositionLeft |
( |
| ) |
|
|
protectedinherited |
◆ getExplicitYPositionBottom()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getExplicitYPositionBottom |
( |
| ) |
|
|
protectedinherited |
Gets the explicit y position of the bottom of this Shape.
- Returns
- the explicit y position of the bottom of this Shape.
◆ getExplicitYPositionCenter()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getExplicitYPositionCenter |
( |
| ) |
|
|
protectedinherited |
Gets the explicit y-position of the center of this Shape.
- Returns
- the explicit y-position of the center of this Shape.
◆ getExplicitYPositionTop()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getExplicitYPositionTop |
( |
| ) |
|
|
protectedinherited |
Gets the explicit y-position of the top of this Shape.
- Returns
- the explicit y-position of the top of this Shape.
◆ getFill()
| String com.aarrelaakso.drawl.Shape.getFill |
( |
| ) |
|
|
inherited |
Returns the fill associated with this Shape, if any.
- Returns
- the fill associated with this Shape, or null if no fill has been associated with this Shape.
◆ getImplicitDiameter()
Get the implicit diameter of this Circle
- Returns
◆ getImplicitHalfHeight()
◆ getImplicitHalfWidth()
◆ getImplicitHeight()
Get the implicit height of this Circle
- Returns
- the implicit height of this Circle, or
null
if the implicit radius of this Circle has not been set.
◆ getImplicitRadius()
◆ getImplicitWidth()
Get the implicit width of this Circle
- Returns
- the implicit width of this Circle
◆ getImplicitXMaximum()
Get the implicit maximum (rightmost) x-position of this Circle.
- Returns
- The implicit maximum (rightmost) x-position of this Circle.
◆ getImplicitXMinimum()
Get the implicit minimum (leftmost) x-position of this Circle.
- Returns
- The implicit minimum (leftmost) x-position of this Circle.
◆ getImplicitXPositionCenter()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getImplicitXPositionCenter |
( |
| ) |
|
|
protectedinherited |
Get the implicit x position of the center of this Shape.
- Returns
- The implicit x position of the center of this Shape.
◆ getImplicitXPositionLeft()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getImplicitXPositionLeft |
( |
| ) |
|
|
protectedinherited |
Get the implicit x position of the left edge of this Shape.
- Returns
- The implicit x position of the left edge of this Shape.
◆ getImplicitYMaximum()
Get the implicit maximum (topmost) y-position of this Circle.
- Returns
- The implicit maximum (topmost) x-position of this Circle.
◆ getImplicitYMinimum()
Get the implicit minimum (bottommost) y-position of this Shape.
- Returns
- The implicit minimum (bottommost) y-position of this Shape.
◆ getImplicitYPositionBottom()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getImplicitYPositionBottom |
( |
| ) |
|
|
protectedinherited |
Gets the implicit y position of the top of this Shape.
- Returns
- The implicit y position of the top of this Shape.
◆ getImplicitYPositionCenter()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getImplicitYPositionCenter |
( |
| ) |
|
|
protectedinherited |
Get the implicit y position of the center of this Shape.
- Returns
- The implicit y position of the center of this Shape.
◆ getImplicitYPositionTop()
| SisuBigDecimal com.aarrelaakso.drawl.Shape.getImplicitYPositionTop |
( |
| ) |
|
|
protectedinherited |
Get the implicit y position of the top of this Shape.
- Returns
- The implicit y position of the top of this Shape.
◆ getLeftOf()
| Shape com.aarrelaakso.drawl.Shape.getLeftOf |
( |
| ) |
|
|
inherited |
Get this Shape's neighbor to the right (this Shape is to the left of that one), if any.
- Returns
- the Shape to the right of this one, if any;
null
otherwise.
◆ getRightOf()
| Shape com.aarrelaakso.drawl.Shape.getRightOf |
( |
| ) |
|
|
inherited |
Get this Shape's neighbor to the left (this Shape is to the right of that one), if any.
- Returns
- the Shape to the left of this one, if any;
null
otherwise.
◆ getStroke()
| String com.aarrelaakso.drawl.Shape.getStroke |
( |
| ) |
|
|
inherited |
Gets the stroke of this Shape.
- Returns
- The stroke of this shape, or null if the stroke of this Shape has not been set.
◆ getSVG()
| String com.aarrelaakso.drawl.Circle.getSVG |
( |
| ) |
|
Get SVG representing this Circle.
- Returns
- A string containing SVG representing this Circle.
◆ setAbove()
| void com.aarrelaakso.drawl.Shape.setAbove |
( |
Shape |
shape | ) |
|
|
inherited |
Set this Shape above another Shape.
- Parameters
-
| shape | The circle that will be below this one. |
◆ setBelow()
| void com.aarrelaakso.drawl.Shape.setBelow |
( |
Shape |
shape | ) |
|
|
inherited |
Set this circle below another circle.
- Parameters
-
| shape | The circle that will be above this one. |
◆ setExplicitHeight()
| void com.aarrelaakso.drawl.Circle.setExplicitHeight |
( |
@Nullable SisuBigDecimal |
height | ) |
|
|
protected |
Set the height of this Circle to a fixed value
- Parameters
-
| height | The new height of this Circle. This value can be null to indicate that the explict height has not yet been determined. |
◆ setExplicitRadius() [1/2]
| void com.aarrelaakso.drawl.Circle.setExplicitRadius |
( |
@NotNull SisuBigDecimal |
radius | ) |
|
|
protected |
Set the radius to a fixed value
This is a protected method because users of the API should not have to deal with SisuBigDecimal.
- Parameters
-
◆ setExplicitRadius() [2/2]
| void com.aarrelaakso.drawl.Circle.setExplicitRadius |
( |
@NotNull Integer |
radius | ) |
|
Set the radius of this Circle to a fixed value.
- Parameters
-
| radius | The fixed value for the radius of this Circle. This method allows providing the value as an Integer to support common use cases. |
◆ setExplicitRadiusToNull()
| void com.aarrelaakso.drawl.Circle.setExplicitRadiusToNull |
( |
| ) |
|
|
private |
◆ setExplicitWidth()
| void com.aarrelaakso.drawl.Circle.setExplicitWidth |
( |
@Nullable SisuBigDecimal |
width | ) |
|
Set the width of this Circle to a fixed value
- Parameters
-
| width | the new width of this Circle |
◆ setExplicitXPositionCenter() [1/2]
| void com.aarrelaakso.drawl.Shape.setExplicitXPositionCenter |
( |
SisuBigDecimal |
x | ) |
|
|
protectedinherited |
◆ setExplicitXPositionCenter() [2/2]
| void com.aarrelaakso.drawl.Shape.setExplicitXPositionCenter |
( |
Integer |
x | ) |
|
|
protectedinherited |
◆ setExplicitYPosition()
| void com.aarrelaakso.drawl.Shape.setExplicitYPosition |
( |
Integer |
y | ) |
|
|
protectedinherited |
◆ setExplicitYPositionCenter()
| void com.aarrelaakso.drawl.Shape.setExplicitYPositionCenter |
( |
SisuBigDecimal |
y | ) |
|
|
protectedinherited |
Set the explicit y position of this Shape.
The y position marks the vertical position of the Shape's center. The explicit coordinate system is the common Cartesian coordinate system, with higher values of y upward and lower values of y downward.
- Parameters
-
| y | The explicit y position of this Shape. |
◆ setFill()
| void com.aarrelaakso.drawl.Shape.setFill |
( |
String |
s | ) |
|
|
inherited |
Set the fill of this Shape.
- Parameters
-
| s | A string representing a fill color, e.g., "white". |
◆ setImplicitHeight()
| final void com.aarrelaakso.drawl.Shape.setImplicitHeight |
( |
SisuBigDecimal |
implicitHeight | ) |
|
|
protectedinherited |
◆ setImplicitWidth()
| final void com.aarrelaakso.drawl.Shape.setImplicitWidth |
( |
SisuBigDecimal |
implicitWidth | ) |
|
|
protectedinherited |
◆ setImplicitXPositionCenter()
| void com.aarrelaakso.drawl.Shape.setImplicitXPositionCenter |
( |
SisuBigDecimal |
x | ) |
|
|
protectedinherited |
◆ setImplicitYPositionCenter()
| void com.aarrelaakso.drawl.Shape.setImplicitYPositionCenter |
( |
SisuBigDecimal |
y | ) |
|
|
protectedinherited |
Set the implicit y position of this Shape.
The y position marks the vertical position of the Shape's center. In the implicit coordinate system, higher values of y are upward whereas lower values of y are downward.
- Parameters
-
| y | The implicit y position of this Shape. |
◆ setLeftOf()
| void com.aarrelaakso.drawl.Shape.setLeftOf |
( |
Shape |
shape | ) |
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inherited |
Set this Shape's neighbor to the right (this Shape is to the left of that one).
- Parameters
-
| shape | the Shape to the right of this one |
◆ setRightOf()
| void com.aarrelaakso.drawl.Shape.setRightOf |
( |
Shape |
shape | ) |
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inherited |
Set this Shape's neighbor to the left (this Shape is to the right of that one).
- Parameters
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| shape | the Shape to the left of this one |
◆ setStroke()
| void com.aarrelaakso.drawl.Shape.setStroke |
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String |
s | ) |
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inherited |
Sets the stroke of this shape.
- Parameters
-
◆ explicitRadius
The explicit radius of a Circle is null by default.
◆ implicitRadius
The implicit radius of a Circle is 0.5 by default, giving the default Circle an implicit diameter of 1.
The documentation for this class was generated from the following file:
- /mnt/d/OneDrive/Documents/src/drawl/src/main/java/com/aarrelaakso/drawl/Circle.java


I was born in Australia, grew up in Argentina, and lived in the US for 10 years now.
I have a PhD in Biology but I'm switching careers to web developing.
I live in Coconut Grove and have a 7 year old boy and a 6 year old girl.


You will find the starting files here: http://alaska.epfl.ch/~dockermoocs/parprog1/reductions.zip
In this assignment, you will implement several variants of reduction and prefix sum algorithms. Each of the three parts of the assignment will exercise a different aspect of parallel programming:
We will use the parallel construct, defined in the package common, as in the lecture to start parallel computations. Every parallel construct invocation takes two tasks as input and outputs the corresponding results as a tuple of two elements. It is not allowed to use the task construct in this assignment.
If you took the course Functional Programming in Scala, you surely recall the assignment in which you had to count the number of ways in which you can make the change for a given amount of money. The text of that assignment was as follows:
Write a recursive function that counts how many different ways you can make change for an amount, given a list of coin denominations. For example, there are 3 ways to give change for 4 if you have coins with denomination 1 and 2: 1+1+1+1, 1+1+2, 2+2.
In this assignment, you will repeat the same task, but this time, your implementation will be parallel. Start with the sequential version of this problem once more -- the countChange function takes the amount of money and the list of different coin denominations. It returns the total number of different ways you can give change:
1def countChange(money: Int, coins: List[Int]): Int
Note that the solution to this problem is recursive. In every recursive call, we either decide to continue subtracting the next coin in the coins list from the money amount, or we decide to drop the coin from the list of coins. For example, if we have 4 CHF, and coin denominations of 1 and 2, the call graph, in which every node depicts one invocation of the countChange method, is as follows:
1234564,[1, 2]3,[1, 2] + 4,[2]2,[1, 2] + 3,[2] 2,[2] + 4,[]1,[1, 2] + 2,[2] 1,[2] + 3,[] 0,[2] + 2,[] 00,[1, 2] + 1,[2] 1 0 0 1 01 0
We can take advantage of this recursive structure by evaluating different subtrees in parallel. This is the next part of the assignment -- implement the method parCountChange that counts the amount of change in parallel:
1def parCountChange(money: Int, coins: List[Int], threshold:Threshold): Int
As we learned in the lectures, the parCountChange should not spawn parallel computations after reaching the leaf in the call graph -- the synchronization costs of doing this are way too high. Instead, we need to agglomerate parts of the computation. We do this by calling the sequential countChange method when we decide that the amount of work is lower than a certain value, called the threshold. To separate the concern of deciding on the threshold value from the implementation of our parallel algorithm, we implement the threshold functionality in a separate function, described by the Threshold type alias:
1type Threshold = (Int, List[Int]) => Boolean
When a threshold function returns true for a given amount of money and the given list of coins, the sequential countChange implementation must be called.
Implement parCountChange!
Now that we have the parCountChange method, we ask ourselves what is the right implementation of the threshold function? Recall the examples from the lectures, such as summing the array values and computing the norm, where this was easy -- we exactly knew the amount of work required to traverse a subrange of the array, so threshold could return true when the length of the subrange was smaller than a certain value.
Sadly, the total amount of work for a given parCountChange invocation is hard to evaluate from the remaining amount of money and a list of coins. In fact, the amount of work directly corresponds to the count that parCountChange returns, which is the value that we are trying to compute. Counting change is a canonical example of a task-parallel problem in which the partitioning the workload across processors is solution-driven -- to know how to optimally partition the work, we would first need to solve the problem itself.
For this reason, many parallel algorithms in practice rely on heuristics to assess the amount of work in a subtask. We will implement several such heuristics in this exercise, and assess the effect on performance. First, implement the moneyThreshold method, which creates a threshold function that returns true when the amount of money is less than or equal to 2 / 3 of the starting amount:
1def moneyThreshold(startingMoney: Int): Threshold
Remember that a / b will return the integer division of a and b when both operands are Ints. To avoid this problem, be sure to always do the multiplication of startingMoney by 2 before doing the division by 3.
Now run the ParallelCountChange application and observe the speedup:
1> runMain reductions.ParallelCountChangeRunner
The previous heuristic did not take into account how many coins were left on the coins list, so try two other heuristics. Implement the method totalCoinsThreshold, which returns a threshold function that returns true when the number of coins is less than or equal to the 2 / 3 of the initial number of coins:
1def totalCoinsThreshold(totalCoins: Int): Threshold
Again, be careful about the order of operations.
Then, implement the method combinedThreshold, which returns a threshold function that returns true when the amount of money multiplied with the number of remaining coins is less than or equal to the starting money multiplied with the initial number of coins divided by 2:
1def combinedThreshold(startingMoney: Int, allCoins:List[Int]): Threshold
Which of the three threshold heuristics gives the best speedup? Can you think of a heuristic that improves performance even more?
In this part of the assignment, we recall the Parenthesis Balancing assignment that might be familiar to you from the Functional Programming in Scala course. Here, the task is to, given an array of characters, decide if the parentheses in the array are balanced.
Let us recall a few examples of strings in which parentheses are correctly balanced:
12(if (zero? x) max (/ 1 x))I told him (that it's not (yet) done). (But he wasn'tlistening)
Similarly, the parentheses in the following strings are not balanced:
123(o_():-)())(
Implement a sequential function balance, which returns true iff the parentheses in the array are balanced:
1def balance(chars: Array[Char]): Boolean
Next, you will implement a parallel version of this method. By now, you're already an expert at implementing the structure of a reduction algorithm, so you should have no problem there. The tricky part in parallel parentheses balancing is choosing the reduction operator -- you probably implemented balance by keeping an integer accumulator, incrementing it for left parentheses and decrementing it for the right ones, taking care that this accumulator does not drop below zero. Parallel parentheses balancing will require a bit more ingenuity on your part, so we will give you a hint -- you will need two integer values for the accumulator.
Implement the parBalance method, which checks if the parentheses in the input array are balanced using two helper methods reduce and traverse. These methods implement the parallel reduction and the sequential traversal part, respectively:
1234567def parBalance(chars: Array[Char], threshold: Int): Boolean= {def traverse(from: Int, until: Int, _???_: Int, _???_: Int): ???def reduce(from: Int, until: Int): ??? = ???reduce(0, chars.length) == ???}
In this case, we again use the fixed threshold parameter, as we did in the lectures. Sections with size smaller or equal to the threshold should be processed sequentially. For maximum performance, use a while loop in the traverse method, or make traverse tail-recursive -- do not use a Range.

If you are looking for additional challenges, prove that your reduction operator is associative!
In the last part of the exercise, you will be implementing an entirely new parallel algorithm -- you will apply the prefix sum algorithm to computing the line-of-sight in two-dimensional terrain.
Imagine that you are standing at the zero of a coordinate system. The curve to your right describes the terrain that you are facing. This is shown in the following figure:
terrain
The task of the line-of-sight algorithm is to compute the visibility of each point of the terrain, as shown in the following figure, where the visible area is above of the full line, and the obscured terrain is shown with a dotted line.
visibility
What is the necessary and sufficient condition for a point on the terrain to be visibile from the zero of the coordinate system, where you are standing? Imagine that the terrain heights are represented with an array of numbers. We can compute (the tangent of) the viewing angle of each point on the terrain by dividing the height of the terrain xs(i) with the distance from the viewing point i, as shown in the following figure:
angle
It turns out that if the viewing angle of some point B is lower than the viewing angle of an earlier point A, then the point B is not visible, as shown in the following figure:
angle
This simple realization allows us to easily compute the line-of-sight on the terrain -- if you were a sequential programmer, you would traverse the array of height values from the beginning to the end, and write the maximum angle seen so far into the output array.
Implement the sequential lineOfSight method, which, for each height entry in the input array (except for input(0) which is the location of the observer and is always zero), writes the maximum angle until that point into the output array (output(0) should be 0):
1def lineOfSight(input: Array[Float], output: Array[Float]):Unit
We keep things simple -- instead of outputting an array of booleans denoting the visibilities, we only output the angles.
Note that what we call an angle in this assignment is actually the tangent of the angle. Indeed, xs(i) is the opposing side of the angle and i the adjacent side. The ratio xs(i) / i that you compute is in fact the tangent of the angle! Since the tangent of an angle is strictly increasing between 0° and 90°, it is a perfectly good replacement for the actual angle in our use case. Keep this in mind and make sure that you do not apply any trigonometic functions on the tangent!
When we see a sequential algorithm that produces a sequence of values by traversing the input from left to right, this is an indication that the algorithm might have a parallel prefix sum variant. So let's try to implement one!
Recall what you learned in the lectures -- the first phase of the parallel prefix sum algorithm is the upsweep phase. Here, the algorithm constructs the reduction tree by traversing parts of the input array in parallel. Implement the method upsweepSequential, which returns the maximum angle in a given part of the array, and the method upsweep, which returns the reduction tree over parts of the input array. If the length of the given part of the input array is less than or equal to threshold, then upsweep calls upsweepSequential. Note that the part of the input array that needs to traversed is represented using indices 'from' (inclusive) and 'until' (or 'end') (exclusive).
123def upsweepSequential(input: Array[Float], from: Int, until:Int): Floatdef upsweep(input: Array[Float], from: Int, end: Int,threshold: Int): Tree
The Tree data type is either a Leaf or an inner Node, and it contains the the maximum angle in the corresponding part of the array. Note that when the number of elements in the part of the input array, which is (end - from), issmaller or equal to the threshold, the sequential upsweepSequential has to be invoked, and you should return a Leaf. Otherwise, you should process the part of the input array in parallel, and return a Node. Make sure that the work is evenly distributed between the parallel computations.
The second phase is called downsweep -- here, the algorithm uses the tree to push the maximum angle in the corresponding prefix of the array to the leaves of the tree, and outputs the values. Implement the methods downsweep which processes parts of the tree in parallel, and the method downsweepSequential, which traverses the parts of the array corresponding to leaves of the tree and writes the final angles into the output array:
12345def downsweep(input: Array[Float], output: Array[Float],startingAngle: Float, tree: Tree): Unitdef downsweepSequential(input: Array[Float], output:Array[Float],startingAngle: Float, from: Int, until: Int): Unit
Finally, implement parLineOfSight using the upsweep and downsweep methods:
12def parLineOfSight(input: Array[Float], output: Array[Float],threshold: Int): Unit
Now, run the LineOfSight application and observe the relative speedups:
1> runMain reductions.LineOfSightRunner
How large is the speedup compared to the number of cores in your processor? Can you explain your results?


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The Latest Rumors On Tekashi 69
by illseedTekashi 6ix9ine May Just Be Getting Out SOON!
 But this is the job! So, let us continue on with the rumors surrounding Tekashi. The latest rumor is that the boy is going to be out before Christmas! They may just let him loose so he can get his daughter some toys! But, I wouldn't mind if he was out and about, because I want to see how the story ends. Not to say that it will end...so lets say "the next chapter."
But the word is they are going to get him home within 30 days! Can you believe that? This is what snitching gets you vs football numbers in jail. I think they have successfully broken down the greatness of crime! I don't do crime, but if you do, you should certainly be "bout that life" enough that you just do the time when you get caught.
Tekkie's girl, Jade has allegedly reported that her man will. be home next month - December!
The other rumor is that Tekkie will have an armada of security and guess who will provide it? The same dudes that keep Floyd Mayweather safe and sounds are the same dudes that will reportedly protect Tekashi 69 from the clutches of bangers that want revenge. I am not sure if that is going to be enough, but it is definitely going to cost him a TON of money!
And while this sounds like some breaking news, it ain't. Last year, when he was free, 69 was using the boxer's old guys. I guess only the best will suit the best!


--- layout: page title: Scientific Programme Committee ---
Conference chair
Professor Panayiotis Vlamos, Head of the Department of Informatics of Ionian University, Greece
Anagnostopoulos Dimosthenis, Professor in the Department of Informatics and Telematics, Harokopeio University of Athens, Greece
Anderer Peter, The Siesta Group, Austria
Anderson Greg, Dean Office of Applied Research & Graduate Studies at Justice Institute of British Columbia
Andronikos Theodore, Assistant Professor, Department of Informatics, Ionian University, Greece.
Anshasy Amany El, United Arab Emirates University
Antonarakis E. Stylianos, Professor, Department of Genetic Medicine and Development University of Geneva Medical School
Ashraf Ghulam Md, Assistant Professor, King Fahd Medical Research Center, King Abdulaziz University, Saudi Arabia
Aurelian Sorina, Titu Maiorescu University, Bucharest, Romania
Bamidis D. Panagiotis, Associate Professor, Medical Education Informatics Lab of Medical Physics Medical School, Aristotle University of Thessaloniki
Banu Naheed, AMU, India
Baumann Marc, Biomedicum Helsinki Unit, Finland
Bayan Yasmeen, German university in Cairo
Behrakis Panagiotis, MD, PhD, FCCCpPulmonologist-Intensivist Director “Institute of Public Health”-American College of Greece, Investigator “Biomedical Research Foundation Athens Academy”
Bell J Simon, Monash University, Australia
Bilensoy Erem, Hacettepe University, Turkey
Boikou Ourania, PhD, Ionian University
Bouras Constantin, University Hospitals, Geneva, Department of Psychiatry, Switzerland
Buiani Roberta, Artistic Director, ArtSci Salon, Fields Institute
Burkhard Pierre R., University Hospitals, Geneva, Department of Psychiatry, Switzerland
Capisizu Ana, The University of Medicine and Pharmacy ”Carol Davila”, Bucharest, Romania
Carnie Andrew, Lecturer, University of Southampton, UK
Chania Maria, Head Nurse, General Hospital of Sparti, Greece
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Chire Josimar, Research Center in Computer Science,Universidad Catholica San Pablo
Chrissikopoulos Vassileios, Professor, Department of Informatics – Rector, Ionian University, Greece
Christodoulou George, Professor Emeritus of Psychiatry, University of Athens, President of the World Federation for Mental Health
Ciobotaru Camelia, The University ”Ovidius”, Constanţa, Romania
Damanhouri Ghazi A., King Fahd Medical Research Center, King Abdulaziz University, Saudi Arabia
Daneshvar Samira, Lecturer, University of Miami, USA
Demetzos Costas, Professor of Pharmaceutical Nanotechnology, Director of the Laboratory of Pharmaceutical Technology, Faculty of Pharmacy, University of Athens, Greece
Dorffner Georg, Medical University of Vienna, Austria
Doukakis Spyridon, PhD, Ionian University
D’Mello Santosh R.,Professor of molecular and cell biology, University of Texas, USA
El Sayed Nesrine, German university in Cairo
Exarchos Themis, Assistant Professor, Department of Informatics, Ionian University, Greece
Fotiadis Dimitrios, Professor Dept of Materials Science and Engineering University of Ioannina, Greece
Geronikolou Stella, Clinical, Experimental Surgery, Translational Research Center, Biomedical Research Foundation, Academy of Athens
Ghanem Moustafa, Department of Computer Science, University of Midsex, UK
Giacobini Ezio, Professor, Department of Rehabilitation and Geriatrics, University of Geneva Medical School in Geneva, Switzerland. Adjunct Professor of Pharmacology, Psychiatry and Neurology at Southern Illinois School of Medicine Springfield ,II. USA.
Giacobini Ezio, University Hospitals, Geneva, Department of Internal Medicine, Rehabilitation and Geriatrics, Switzerland
Giannakis Konstantinos, PhD, Ionian University
Giannakopoulos Panteleimon, Professor, Chairman of the Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
Glaser Anna, Karolinska Institutet, Sweden
Gold Gabriel, University Hospitals, Geneva, Department of Internal Medicine, Rehabilitation and Geriatrics, Switzerland
Gonidi Maria, Cytologist, President of Corfu Medical Association
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Hadjinicolaou Maria, Professor of Applied Mathematics, School of Science and Technology, Hellenic Open University, Greece
Haras Monica, The Teaching Emergency Hospital ”Bagdasar-Arseni”, Bucharest, Romania
Harney Michael, Health Catalyst, US
Hedbom Jonas, Karolinska Institutet, Sweden
Herrmann François R., University Hospitals, Geneva, Department of Internal Medicine, Rehabilitation and Geriatrics, Switzerland
Hillert Jan, Karolinska Institutet, Sweden
Hogervorst Eef, Professor of Biological Psychology, Loughborough University, Leicestershire, UK
Honorato Dalila, Assistant Professor, Department of Audio and Visual Arts, Ionian University
Horvath Judit, University Hospitals, Geneva, Department of Psychiatry, Switzerland
Ifantis Ilias, Hellenic Naval Academy, Piraeus, Greece
Jabir Nasimudeen R, King Abdulaziz University, Saudi Arabia
Jones Jeffry, Professor of Psychology, Wilfrid Laurier University, Director of the Laurier Centre for Cognitive Neuroscience
Kariotou Foteini, Assistant Professor of Applied Mathematics, School of Science and Technology, Hellenic Open University, Greece
Katsaiti Marina-Selini, United Arab Emirates University
Kavaliunas Andrius, Karolinska Institutet, Sweden
Khan Husain Yar, AMU, India
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Klentrou Panagiota (Nota), PhD, Professor and Associate Dean, Brock University
Kontogeorgis Georgios, Professor, DTU Chemical Engineering Department of Chemical and Biochemical Engineering. Technical University of Denmark
Korczyn D. Amos, Professor Emeritus, Department of Neurology, Tel Aviv University
Kotsireas Ilias, Professor in Physics & Computer Science, Wilfrid Laurier University-Waterloo, Ontario, Canada
Kovari Eniko, University Hospitals, Geneva, Department of Psychiatry, Switzerland
Krokidis Marios, Ionian University
Ktenas Spiros, Director of IT Projects to the European Centre for Disease Prevention and Control Center, Rapporteur IT Project Management at KTH Royal Institute of Technology in Stockholm
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Logothetis Nikos, Max-Planck-Institute for Biological Cybernetics, Tubingen, Germany
Mehmood Rashid, National University of Science and Technology (NUST), Islamabad, Pakistan
Milgrom Lionel, London Metropolitan University, UK
Mosimann Urs, University Hospital of old age Psychiatry, University of Bern, Switzerland
Mueri Rene, Perception and Eye Movement Laboratory, Department of Neurology and Clinical Research, University Hospital Inselspital, University of Bern, Switzerland
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Omer Ioana, The Hospital for Chronic Diseases ”St. Lucas”, Bucharest, Romania
Onose Gelu, The University of Medicine and Pharmacy ”Carol Davila”, Bucharest, Romania
Onose Liliana, The Medical Service of ”Metrorex”, Bucharest, Romania
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Psiha Maria, Department of Informatics, Ionian University, Greece
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Sakka Paraskevi, Chairman of Athens Alzheimer’s Association, Dementia Society, Greece
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Tabrez Shams, King Fahd Medical Research Center, King Abdulaziz University, Saudi Arabia
Takashima Akihiko, National Center for Geriatrics and Gerontology, Japan
Tarnanas Ioannis, Senior Researcher at the University of Bern, Switzerland, Gerontechnology and Rehabilitation groupat the ARTORG Center for Biomedical Engineering Research
Teresinha Silva, Bioassays Laboratory for Pharmaceutical Research, Antibiotics Department, Biological Sciences Center, Federal University of Pernambuco, Recife, Brazil
Tiberiu Spircu, The University of Medicine and Pharmacy ”Carol Davila”, Bucharest, Romania
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Tsantili-Kakoulidou Anna, Professor, Department of Pharmaceutical Chemistry. National & Kapodistrian University Athens Greece
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Vitr Martin, Medical University of Vienna, Austria
Wolfgang Oertel, Professor for Neurology, Director of the Department of Neurology, Philipps University Marburg, Germany
Wolozin Benjamin, Boston University School of Medicine, US
Xing Wei, CRUK Manchester Institute, University of Manchester, UK
Yapijakis Christos, Assistant Professor of Neurogenetics Department of Neurology, University of Athens Medical School, Attico Hospital
Yim Wendy, Life Technologies, US
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Zalonis Ioannis, Assistant Professor National and Kapodistrian University of Athens, President of the Hellenic Neuropsychological Society
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Zaretsky Adam, Ph.D Marist College, USA
Zouganelis George, Lecturer in Biochemistry, Bournemouth and Poole College, United Kingdom
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As a regular inspiration grid user, I want to be able to view vast amounts of graphics and art at a fast pace with ease.


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--- layout: post title: 'Reading Aloud: “Kick It Up a Notch”' date: 2010-03-31 07:48:38.000000000 -07:00 type: post parent_id: '0' published: true pd: '' status: publish categories: - Classroom Talk - Guest Posts - Reading Instruction tags: - read alouds - reading aloud to children - reading comprehension author: login: k email: k@k display_name: mcary first_name: '' last_name: '' ---
Reading Aloud: “Kick It Up a Notch”
By Dawn Little
Founder, Links to Literacy
Do you read aloud to your children every day, but wonder what you can do to “kick it up a notch?” Reading aloud is a wonderful opportunity to share a few quality minutes with our children snuggling and enjoying a book. But, did you know you can easily transform a read aloud into an instructional moment with very little prep and without your child even knowing that he may be learning something, too? All it takes is a few questions before, during, and after reading.
Before Reading
During Reading
After Reading
These questions touch on common comprehension strategies that good readers use to understand text. If we emphasize and model how to use some of these strategies at home, we begin to create a solid reading foundation for our children. A few questions and you’ve “kicked it up a notch!”
If you would like more information on teaching common comprehension strategies to your child, I suggest reading 7 Keys to Comprehension: How to Help Your Kids Read It and Get It! by Susan Zimmerman and Chryse Hutchins.
Dawn Little (@linkstoliteracy on Twitter) blogs at www.teachingwithpicturebooks.wordpress.com where she provides educators with picture book lessons based on comprehension strategies and the Six Traits of Writing. In addition, she blogs at www.literacytoolbox.wordpress.com where she provides educators and parents with tips and tools to enhance the literacy lives of children. She is the founder and owner of Links to Literacy, a company dedicated to providing interactive literacy experiences for children and families. Find out more at www.linkstoliteracy.com


This Living Cities case study contextualizes Boston’s average rent prices with other relevant information. This additional context includes Boston neighborhood borders, MBTA lines, and social media posts within the city. By combining this information in a single tool, we seek to facilitate a greater understanding of where the viewer might want to live in Boston.
Our goal was to provide a tool that users could use to explore and compare a variety of different data sources.
More information can be found at our GitHub Repository


Description: Similar to hang-man, this game allows your students to try to guess a common English word.
Skills: Reading, Writing, Spelling, Vocabulary
Click here to playDescription: This game is a random image generator that can be used to practice conversation or create stories with your student.
Skills: Speaking, Vocabulary
Click here to playDescription: A blank bingo card that randomly populates the numbers in the boxes. Open and add content with the drawing tool. For ideas, check out our YouTube video on this game.
Skills: Vocabulary, phonics
New Bingo Card Free Bingo Caller


In this tutorial we will showcase how a restez
database can be used to speed up a phylotaR run. phylotaR
runs an automated pipeline for identifying ortholgous gene clusters as the first step in a phylogenetic analysis. A user provides a taxonomic identity and the pipeline downloads all relevant sequences and identifies clusters using a local-alignment search tool. For more information on phylotaR
see its published article.
By using restez
in conjunction with phylotaR
, we will not only being saving time, but also improving the chances of a successful phylotaR
run – often NCBI Entrez limits the number of requests or even rejects requests from IP addresses that are making too many. Note, however, that the gains in using restez
with phylotaR
only make sense if you make use of the restez
database multiple times or if you wish to radically increase the maximum number of sequences to download per taxon (by default it is only 3,000). Also, note that using a restez
database does not currently eliminate the need for an internet connection. phylotaR
still needs to look up taxonomic information and must also identify relevant sequence IDs using Entrez (this may change in the future as restez
develops).
We will run a phylotaR
run for the rodent subfamily, Dipodinae, the clade that contains jerboas. Because this clade is so small, it should not take too long to run it. We will, however, limit to showcasing only the download stage of the phylotaR
pipeline, where restez
is required.
# Currently only the development version of phylotaR can work with restez
# It must be installed from GitHub using devtools
devtools::install_github(repo = 'ropensci/phylotaR')
Since we will be running the phylotaR
pipeline for Dipodinae, we can use the rodents database we created before. We do not need to set-up the phylotaR
pipeline any differently with a restez
database, except to ensure we have set the restez
path to the rodent database. (Connections to the restez
database will be made automatically, restez_connect
or restez_disconnect
do not need to be run.)
library(phylotaR)
# Restez (no need to call package)
restez::restez_path_set(filepath = rodents_path)
# Vars
wd <- 'dipodinae'
dir.create(wd)
txid <- 35737 # Dipodinae
mxsql <- 500
ncbi_dr <- '[PATH/TO/BLAST]' # e.g. '/usr/local/ncbi/blast/bin'
# setup
setup(wd = wd, txid = txid, ncbi_dr = ncbi_dr, mxsql = 500)
# run just the first two stages for this demonstration
taxise_run(wd)
#> --------------------------------------------
#> Starting stage TAXISE: [2018-11-27 16:14:21]
#> --------------------------------------------
#> Searching taxonomic IDs ...
#> Downloading taxonomic records ...
#> . [1-25]
#> Generating taxonomic dictionary ...
#> ---------------------------------------------
#> Completed stage TAXISE: [2018-11-27 16:14:25]
#> ---------------------------------------------
download_run(wd)
#> ----------------------------------------------
#> Starting stage DOWNLOAD: [2018-11-27 16:14:25]
#> ----------------------------------------------
#> Identifying suitable clades ...
#> Identified [1] suitable clades.
#> Downloading hierarchically ...
#> Working on parent [id 35737]: [1/1] ...
#> . + whole subtree ...
#> . . Getting [100 sqs] ...
#> . . . [1-100]
#> Successfully downloaded [99 sqs] in total.
#> -----------------------------------------------
#> Completed stage DOWNLOAD: [2018-11-27 16:14:38]
#> -----------------------------------------------
Sequences that cannot be found locally will be downloaded via Entrez. Sequences may not be found locally for three sets of reasons, 1. phylotaR
may have identified non-GenBank sequences (e.g. RefSeq), 2. the local database may have size limits (ours has a min of 100 and a max 1000), and 3. the local database is out of date, new GenBank releases are only made once a month.
Note: If the
phylotaR
messages do not explicit state that they are using arestez
database, then, you may not have set therestez
path.
Compared to running without a restez
database, phylotaR download can run 2x faster.


Compute Edit Distance
First String:
Second String:
Get Edit Distance
Minimum Number of Operations
=
{{response}}


API
GET /api/v1/redis
Return the key/value of the redis store [debugging only].
Status codes
- 200 / OK - Status normal
- 200 / FAIL - Identified problem with service
- 404 / FAIL - Identified problem with service
GET /api/v1/identity
Return the status of the identity provider.
Status codes
- 200 / OK - Status normal
- 200 / FAIL - Identified problem with service
- 404 / FAIL - Identified problem with service


DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Press release
New figures reveal the extent to which the sponsored academies programme has been expanded.
Ahead of the National Primary School Offer Day new figures reveal that the education of 350,000 children has been transformed after their previously underperforming schools were turned into sponsored academies - where education experts and leading headteachers take over the running of the school.
Ofsted data for the latest inspection results of all schools shows that 350,000 children now study in sponsored academies rated ‘good’ or ‘outstanding’ by the schools watchdog - previously these schools suffered from chronic underperformance, blighting the life chances of young people and preventing them from achieving their full potential.
Last year 95.9% of parents received an offer at one of their top 3 preferred primary schools after the government created more than 400,000 new primary school places since 2010. With National Primary School Offer Day on Monday, the news will reassure parents that the school places available for children are better than ever before, and that the government is tackling underperforming schools faster and stronger than ever before.
The figures also reveal that record levels of children are now attending good or outstanding schools - a figure which has jumped by 1.4 million since 2010 and by over 30,000 in the last 4 months of last year alone.
Education Secretary Nicky Morgan said:
Due to the turbocharged sponsored academy programme hundreds of thousands of children are now getting a better education - a key driver in our mission to spread educational excellence everywhere.
Parents who find out on Monday which primary school their child will attend can be reassured that the government is doing more than any before to ensure all parents have the choice of a good local school.
There are now a record number of good or outstanding schools in England - a testament to the hard work of our excellent teachers and the impact of our reforms.
Our white paper reforms are the next step in achieving excellence everywhere by putting control in the hands of the teachers and school leaders who know their pupils best, alongside new measures to more swiftly tackle failing and coasting schools. We want to work constructively with the sector to deliver this and ensure standards continue to rise.
Improving underperforming schools is a key part of the government’s drive to spread educational excellence everywhere. When a school is found to be underperforming, a group of education experts with track records of success in other schools are brought in to turn the school around. The government is also backing schemes like Teach First and the National Teaching Service to get great teachers where they are most needed, so that every child has access to the education they deserve.
Due to the 2016 Education and Adoption Act, failing and coasting schools will face far swifter intervention, and the recent white paper makes clear that every school will be an academy by 2022 - allowing the best schools to spread their expertise more widely.
Woden Primary School was an inadequate-rated local-authority school that became a sponsored academy under the Central Learning Partnership Trust (CLPT). The trust’s focus on fostering collaboration and support between all its schools saw the academy being rated ‘outstanding’ just 2 years later.
Hethersett High School was in ‘special measures’ before being sponsored by the Inspiration Trust, a high-performing local sponsor, in 2013. The school’s results skyrocketed from 58% of children achieving 5 A*-C GCSEs, including English and maths, in 2013 to 74% in 2015. In January 2016 Ofsted judged the school to be outstanding in all areas.
In December 2011 Oakfields Community College was judged to be inadequate by Ofsted, and 2 years later the school had still not improved, with only 32% of children achieving 5 A*-C GCSEs, including English and maths, in 2013. Oakfields closed in 2013 to reopen under the sponsorship of Outwood Grange Academies Trust - a high-performing sponsor. Under OGAT GCSE results improved by 14 percentage points to 46%, and in 2015 increased by a further 7 points to 53%. In 2015 Ofsted judged the academy to be ‘good’ with ‘outstanding’ leadership and management.
2015 results show that primary sponsored academies open for 2 years have improved their results, on average, by 10 percentage points since opening, more than double the rate of improvement in local-authority-maintained schools over the last 2 years
2015 GCSE results show that secondary converter academies are performing 7.2 percentage points above the national average, with 64.3% of pupils achieving 5 or more good GCSEs, including English and maths
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 17 April 2016


This document shows the code generated by the IDL-to-Java compiler in accordance with the IDL to Java Language Mapping Specification (for compliance details refer to the compliance document), as well as sample client and server applications.
For a detailed description of the code listed here, consult the introductory tutorial, Getting Started with Java IDL.
The following file, Hello.idl, is written in the OMG Interface Definition Language, and describes a CORBA object whose sayHello() operation returns a string and whose shutdown() method shuts down the ORB. OMG IDL is a purely declarative language designed for specifying programming-language-independent operational interfaces for distributed applications. The IDL can be mapped to a variety of programming languages. The IDL mapping for Java is summarized in IDL to Java Language Mapping Summary.
To learn more about OMG IDL Syntax and Semantics, read Chapter 3 of the CORBA Specification.
Hello.idl
module HelloApp { interface Hello { string sayHello(); oneway void shutdown(); }; };
The idlj compiler uses the IDL-to-Java mapping to convert IDL interface definitions to corresponding Java interfaces, classes, and methods, which you can then use to implement your client and server code. The following files are generated when Hello.idl is compiled with the IDL-to-Java compiler, using the following command:
idlj -fall Hello.idl
The signature interface file, Hello.java extends
org.omg.portable.IDLEntity, org.omg.CORBA.Object,
and the operations interface, HelloOperations. The
signature interface is used as the signature type in method
declarations when interfaces of the specified type are used in
other interfaces. From the client's point of view, an object
reference for a CORBA Hello
object implements this
interface.
Note: The Stub implements the Hello
interface,
where it generates code for each method to marshall the arguments,
invoke the method, and then unmarshall the arguments.
package HelloApp; /** * HelloApp/Hello.java * Generated by the IDL-to-Java compiler (portable), version "3.0" * from Hello.idl * Thursday, March 22, 2001 2:17:15 PM PST */ public interface Hello extends HelloOperations, org.omg.CORBA.Object, org.omg.CORBA.portable.IDLEntity { } // interface Hello
The Java operations interface,
HelloOperations.java
, is used in the server-side
mapping and as a mechanism for providing optimized calls for
co-located clients and server. The server developer provides
implementation for the methods indicated by the operations
interface.
This interface contains the methods sayHello() and shutdown(). The IDL-to-Java mapping puts all of the operations defined on the IDL interface into this file, which is shared by both the stubs and skeletons.
Note: The server writer usually extends HelloPOA
and provides implementation for the methods provided by the
operations interface.
package HelloApp; /** * HelloApp/HelloOperations.java * Generated by the IDL-to-Java compiler (portable), version "3.0" * from Hello.idl * Thursday, March 22, 2001 2:17:15 PM PST */ public interface HelloOperations { String sayHello (); void Shutdown (); } // interface HelloOperations
The Java class HelloHelper
provides auxiliary
functionality, notably the narrow() method required to
cast CORBA object references to their proper types. The Helper
class is responsible for reading and writing the data type to CORBA
streams, and inserting and extracting the data type from
Anys. The Holder class delegates to the methods in the
Helper class for reading and writing.
package HelloApp; /** * HelloApp/HelloHelper.java * Generated by the IDL-to-Java compiler (portable), version "3.0" * from Hello.idl * Thursday, March 22, 2001 2:17:15 PM PST */ abstract public class HelloHelper { private static String _id = "IDL:HelloApp/Hello:1.0"; public static void insert (org.omg.CORBA.Any a, HelloApp.Hello that) { org.omg.CORBA.portable.OutputStream out = a.create_output_stream (); a.type (type ()); write (out, that); a.read_value (out.create_input_stream (), type ()); } public static HelloApp.Hello extract (org.omg.CORBA.Any a) { return read (a.create_input_stream ()); } private static org.omg.CORBA.TypeCode __typeCode = null; synchronized public static org.omg.CORBA.TypeCode type () { if (__typeCode == null) { __typeCode = org.omg.CORBA.ORB.init ().create_interface_tc (HelloApp.HelloHelper.id (), "Hello"); } return __typeCode; } public static String id () { return _id; } public static HelloApp.Hello read (org.omg.CORBA.portable.InputStream istream) { return narrow (istream.read_Object (_HelloStub.class)); } public static void write (org.omg.CORBA.portable.OutputStream ostream, HelloApp.Hello value) { ostream.write_Object ((org.omg.CORBA.Object) value); } public static HelloApp.Hello narrow (org.omg.CORBA.Object obj) { if (obj == null) return null; else if (obj instanceof HelloApp.Hello) return (HelloApp.Hello)obj; else if (!obj._is_a (id ())) throw new org.omg.CORBA.BAD_PARAM (); else { org.omg.CORBA.portable.Delegate delegate = ((org.omg.CORBA.portable.ObjectImpl)obj)._get_delegate (); HelloApp._HelloStub stub = new HelloApp._HelloStub (); stub._set_delegate(delegate); return stub; } } }
The Java class called HelloHolder holds a public instance member of type Hello. Whenever the IDL type is an out or an inout parameter, the Holder class is used. It provides operations for org.omg.CORBA.portable.OutputStream and org.omg.CORBA.portable.InputStream arguments, which CORBA allows, but which do not map easily to Java's semantics. The Holder class delegates to the methods in the Helper class for reading and writing. It implements org.omg.CORBA.portable.Streamable.
HelloApp/HelloHolder.javapackage HelloApp; /** * HelloApp/HelloHolder.java * Generated by the IDL-to-Java compiler (portable), version "3.0" * from Hello.idl * Thursday, March 22, 2001 2:17:15 PM PST */ public final class HelloHolder implements org.omg.CORBA.portable.Streamable { public HelloApp.Hello value = null; public HelloHolder () { } public HelloHolder (HelloApp.Hello initialValue) { value = initialValue; } public void _read (org.omg.CORBA.portable.InputStream i) { value = HelloApp.HelloHelper.read (i); } public void _write (org.omg.CORBA.portable.OutputStream o) { HelloApp.HelloHelper.write (o, value); } public org.omg.CORBA.TypeCode _type () { return HelloApp.HelloHelper.type (); } }
The Java class _HelloStub is the stub file for the client-side mapping. It extends org.omg.CORBA.portable.ObjectImpl and implements the Hello.java interface.
HelloApp/_HelloStub.javapackage HelloApp; /** * HelloApp/_HelloStub.java * Generated by the IDL-to-Java compiler (portable), version "3.0" * from Hello.idl * Thursday, March 22, 2001 2:17:15 PM PST */ public class _HelloStub extends org.omg.CORBA.portable.ObjectImpl implements HelloApp.Hello { public String sayHello () { org.omg.CORBA.portable.InputStream _in = null; try { org.omg.CORBA.portable.OutputStream _out = _request ("sayHello", true); _in = _invoke (_out); String __result = _in.read_string (); return __result; } catch (org.omg.CORBA.portable.ApplicationException _ex) { _in = _ex.getInputStream (); String _id = _ex.getId (); throw new org.omg.CORBA.MARSHAL (_id); } catch (org.omg.CORBA.portable.RemarshalException _rm) { return sayHello (); } finally { _releaseReply (_in); } } // sayHello public void Shutdown () { org.omg.CORBA.portable.InputStream _in = null; try { org.omg.CORBA.portable.OutputStream _out = _request ("Shutdown", false); _in = _invoke (_out); } catch (org.omg.CORBA.portable.ApplicationException _ex) { _in = _ex.getInputStream (); String _id = _ex.getId (); throw new org.omg.CORBA.MARSHAL (_id); } catch (org.omg.CORBA.portable.RemarshalException _rm) { Shutdown (); } finally { _releaseReply (_in); } } // Shutdown // Type-specific CORBA::Object operations private static String[] __ids = { "IDL:HelloApp/Hello:1.0"}; public String[] _ids () { return (String[])__ids.clone (); } private void readObject (java.io.ObjectInputStream s) throws java.io.IOException { String str = s.readUTF (); String[] args = null; java.util.Properties props = null; org.omg.CORBA.Object obj = org.omg.CORBA.ORB.init (args, props).string_to_object (str); org.omg.CORBA.portable.Delegate delegate = ((org.omg.CORBA.portable.ObjectImpl) obj)._get_delegate (); _set_delegate (delegate); } private void writeObject (java.io.ObjectOutputStream s) throws java.io.IOException { String[] args = null; java.util.Properties props = null; String str = org.omg.CORBA.ORB.init (args, props).object_to_string (this); s.writeUTF (str); } } // class _HelloStub
The Java class HelloImplPOA is the skeleton file for the server-side mapping, providing basic CORBA functionality for the server. It extends org.omg.PortableServer.Servant, and implements the InvokeHandler interface and the HelloOperations interface. The server class, HelloServant, extends HelloPOA.
HelloApp/HelloPOA.javapackage HelloApp; /** * HelloApp/HelloPOA.java * Generated by the IDL-to-Java compiler (portable), version "3.0" * from Hello.idl * Thursday, March 22, 2001 2:17:15 PM PST */ public abstract class HelloPOA extends org.omg.PortableServer.Servant implements HelloApp.HelloOperations, org.omg.CORBA.portable.InvokeHandler { // Constructors private static java.util.Hashtable _methods = new java.util.Hashtable (); static { _methods.put ("sayHello", new java.lang.Integer (0)); _methods.put ("Shutdown", new java.lang.Integer (1)); } public org.omg.CORBA.portable.OutputStream _invoke (String method, org.omg.CORBA.portable.InputStream in, org.omg.CORBA.portable.ResponseHandler rh) { org.omg.CORBA.portable.OutputStream out = null; java.lang.Integer __method = (java.lang.Integer)_methods.get (method); if (__method == null) throw new org.omg.CORBA.BAD_OPERATION (0, org.omg.CORBA.CompletionStatus.COMPLETED_MAYBE); switch (__method.intValue ()) { case 0: // HelloApp/Hello/sayHello { String __result = null; __result = this.sayHello (); out = rh.createReply(); out.write_string (__result); break; } case 1: // HelloApp/Hello/Shutdown { this.Shutdown (); out = rh.createReply(); break; } default: throw new org.omg.CORBA.BAD_OPERATION (0, org.omg.CORBA.CompletionStatus.COMPLETED_MAYBE); } return out; } // _invoke // Type-specific CORBA::Object operations private static String[] __ids = { "IDL:HelloApp/Hello:1.0"}; public String[] _all_interfaces (org.omg.PortableServer.POA poa, byte[] objectId) { return (String[])__ids.clone (); } public Hello _this() { return HelloHelper.narrow( super._this_object()); } public Hello _this(org.omg.CORBA.ORB orb) { return HelloHelper.narrow( super._this_object(orb)); } } // class HelloPOA
To complete the application, the developer must write the client and server code.
The example server consists of two classes, the servant and the server. The servant, HelloImpl, is the implementation of the Hello IDL interface; each Hello instance is implemented by a HelloImpl instance. The servant is a subclass of HelloPOA, which is generated by the idlj compiler from the example IDL.
The servant contains one method for each IDL operation, in this example, the sayHello() and shutdown() methods. Servant methods are just like ordinary Java methods; the extra code to deal with the ORB, with marshaling arguments and results, and so on, is provided by the skeleton.
This example shows the code for a transient server. For a "Hello World" application with a persistent server, see Hello World with a Persistent Server.
The following code is written by the developer.
HelloServer.java// HelloServer.java // Copyright and License import HelloApp.*; import org.omg.CosNaming.*; import org.omg.CosNaming.NamingContextPackage.*; import org.omg.CORBA.*; import org.omg.PortableServer.*; import org.omg.PortableServer.POA; import java.util.Properties; class HelloImpl extends HelloPOA { private ORB orb; public void setORB(ORB orb_val) { orb = orb_val; } // implement sayHello() method public String sayHello() { return "\nHello world !!\n"; } // implement shutdown() method public void shutdown() { orb.shutdown(false); } } public class HelloServer { public static void main(String args[]) { try{ // create and initialize the ORB ORB orb = ORB.init(args, null); // get reference to rootpoa & activate the POAManager POA rootpoa = POAHelper.narrow(orb.resolve_initial_references("RootPOA")); rootpoa.the_POAManager().activate(); // create servant and register it with the ORB HelloImpl helloImpl = new HelloImpl(); helloImpl.setORB(orb); // get object reference from the servant org.omg.CORBA.Object ref = rootpoa.servant_to_reference(helloImpl); Hello href = HelloHelper.narrow(ref); // get the root naming context // NameService invokes the name service org.omg.CORBA.Object objRef = orb.resolve_initial_references("NameService"); // Use NamingContextExt which is part of the Interoperable // Naming Service (INS) specification. NamingContextExt ncRef = NamingContextExtHelper.narrow(objRef); // bind the Object Reference in Naming String name = "Hello"; NameComponent path[] = ncRef.to_name( name ); ncRef.rebind(path, href); System.out.println("HelloServer ready and waiting ..."); // wait for invocations from clients orb.run(); } catch (Exception e) { System.err.println("ERROR: " + e); e.printStackTrace(System.out); } System.out.println("HelloServer Exiting ..."); } }
This example shows a Java client application. You could write a CORBA client as a servlet, a JSP, an applet, etc.
HelloClient.java// Copyright and License import HelloApp.*; import org.omg.CosNaming.*; import org.omg.CosNaming.NamingContextPackage.*; import org.omg.CORBA.*; public class HelloClient { static Hello helloImpl; public static void main(String args[]) { try{ // create and initialize the ORB ORB orb = ORB.init(args, null); // get the root naming context org.omg.CORBA.Object objRef = orb.resolve_initial_references("NameService"); // Use NamingContextExt instead of NamingContext. This is // part of the Interoperable naming Service. NamingContextExt ncRef = NamingContextExtHelper.narrow(objRef); // resolve the Object Reference in Naming String name = "Hello"; helloImpl = HelloHelper.narrow(ncRef.resolve_str(name)); System.out.println("Obtained a handle on server object: " + helloImpl); System.out.println(helloImpl.sayHello()); helloImpl.shutdown(); } catch (Exception e) { System.out.println("ERROR : " + e) ; e.printStackTrace(System.out); } } }
For the details of compiling and running a Java CORBA application, refer to Building and Running the Hello World Application.


Gabow's scaling algorithm for single-source shortest paths,
615 pr.
general number-field sieve,
905
generic push-relabel algorithm,
673-681
adjacency-list representation of,
528
adjacency-matrix representation of,
529
breadth-first search of,
531-539
depth-first search of,
540-549
incidence matrix of,
403 pr.,
531 ex.
singly connected,
549 ex.
greatest common divisor (gcd),
852-853
binary gcd algorithm for,
902 pr.
Euclid's algorithm for,
856-862
with more than two arguments,
861 ex.
recursion theorem for,
857
GREEDY-ACTIVITY-SELECTOR,
378
for activity selection,
371-379
for coin changing,
402 pr.
for fractional knapsack problem,
382
greedy-choice property in,
380-381
for minimum spanning tree,
561
optimal substructure in,
381-382
on a weighted matroid,
395-398
for the weighted set-covering problem,
1050 pr.


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Grand Harbour is on the southern side of Valletta, which occupies the peninsula between Grand Harbour and Marsamxett harbour.
Position 35°53'.5N, 14°01'.0E (Marina)
The Customs House is on Lascaris Wharf at the cruise liner terminal in Grand Harbour - just below the bus terminal. It is possible to come alongside, but it is better for yachts to clear in at Manoel Island, Sliema. Call Valetta Radio and go ashore at Lazartte Creek & report to Customs, Immigration, Police and Harbour Office.
At present, all vessels still need to obtain exit clearance - including providing proof of payment of all marina fees. Before final departure from the Islands, a passenger/crew list has to be drawn up on the appropriate form and presented to Customs Officer and all passports are to be submitted to the Immigration Officer.
Grand Harbour Marina (completed 2010) is reported as being one of the best in Malta, although it is not cheap (cost for a 12m yacht in 2013 was around €945.00/month). Very secure.
Kalkara Marina is probably the cheapest in the Grand Harbour and it's also a boatyard, so you can easily fix any kind of problem.
There is very little room to anchor here, the only possibility being in Rinella Creek.
Last updated March 2016.


The transcript (in this case, song lyrics) is provided in a WebVTT file with kind="captions" and linked using a <track> element, just as with video. The captions are currently rendered as a transcript only, not as captions. Note the two additional optional attributes that are relevant for this example:
For additional demos see the Index of Able Player Examples.


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---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 116395maths/01043isthereanybetterway.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/116395-maths/topic/is.20there.20any.20better.20way.3F.html


---
layout: post
title: Pumpkin Porridge
date: 2021-03-09 06:00:34 -0200
background: '/img/recipes/pumpkin-porridge.jpg'
categories: Recipes
---
Are you an oats for breakfast fan? A warm, buttery hug in a bowl fan? Have you been missing it? Well look no further.
My Pumpkin Porridge is the perfect replacement. The nuttiness of the almond flour inspires the same flavour profile as oats.
Prep time: 3 minutes
Cook time: 5-7 minutes
Serving: 4
Ingredients
- 100g butter
- ¼ cup almond flour
- 2 ½ tbsp erythritol
- 4 cups pumpkin puree
- a pinch of salt
- cinnamon to serve
Instructions
- Melt the butter on a medium heat in a pot.
- Mix in the almond flour and let it cook for about 2-3 minutes, you want to be able to smell the nuttiness.
- Turn the heat up and add the pumpkin puree, cook until it is warmed through.
- Add the erythritol and salt.
- Serve with cinnamon.
Tip
I cook my own pumpkin puree, four cups puree is equal to 1kg of raw pumpkin.
The cooking method depends on whether I was able to get a whole pumpkin or pre-cut pumpkin.
Oven: cut the wole pumpkin into quarters, salt and drizzle with oil and roast on 180°C until soft.
Stove-top: add the pre-cut pumpkin with a some butter into a large pot, steam for 10 minutes and then leave it uncovered until soft (this ensure all the moisture cooks out).
Pumpkin contains a lot of water therefore you don't need to add water to steam it.
Live long and keto-on!


About me
Hey, i'm Andrew Wilson. I am 19 years old, have a passion for web development, always up for a challenge and love to learn new things.
I am
from Nacogdoches, Texas, and enjoy working with computers, I also like playing games with friends and love cars. During my free time
I enjoy to read books about web development to gain knowledge of technologies, work on projects and open source applications.
I am a coding bootcamp grad from UT of Austin Full-Stack Coding Bootcamp. During my time at the bootcamp I was constantly learning and
being pushed to better myself and my code, I got to work with several different people and
technologies during the time which I gained
several skills and experience. I also had the chance to work on several projects while I attended which are featured on the project tab.
I have experience in working with JavaScript, CSS, HTML, MERN stack(MongoDB, Express.js, React.js, Node.js), MySQL, AJAX, jQuery, Handlebars.js and
several front-end frameworks.
I have also used tools such as Insomnia, Heroku, GIT and VSCode. I am a quick learner and can adopt and implement new
technologies quickly.
Along with being good at working with technology, I also can work well with people of all backgrounds and have great teamwork skills.


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layout: page
tags: [Jekyll, HADDOCK, Bonvin, Docking, Simulation, Molecular Dynamics, Structural Biology, Computational Biology, Modelling, Protein Structure]
modified: 2014-08-08T20:53:07.573882-04:00
comments: false
image:
feature: pages/banner_software.jpg
---
HADDOCK2.2 manual |
Changes with respect to version 2.1 |
HADDOCK2.2 has been made compatible with CNS version 1.3. Because of changes in CNS1.3,
the linkage files in the toppar directory do no longer contain wild cards. All linkages are
specified explicitely.
Also, only three character residue names are now used:
- WAT and HOH added as water residues (same param as TIP3P)
- GLUH changed to GLH
- ASPH changed to ASH
Accordingly, all protocol files have been modified to make use of WAT, HOH and TIP3.
For use with CNS version 1.3, the 5.4 version of the protein topology and parameter files MUST be used:
- topallhdg5.4.pro
- parallhdg5.4.pro
- topallhdg5.4.pep
- topallhdg5.4.pep-noCter
- topallhdg5.4.pep-noNter
- topallhdg5.4.pep-noter
- topallhdg5.4.sol
- parallhdg5.4.sol
And for DNA:
- dna-rna-allatom-hj-opls-1.3.param
- dna-rna-allatom-hj-opls-1.3.top
- dna-rna-1.3.link
- dna-rna-pho-1.3.link
A CNS version check has been build in the parameter files.
Other main changes with respect to version 2.1 are listed in the following:
- It is now possible to mix molecule types within one molecule as long as there is no overlap in residue numbering. This this enables for example the docking of a protein onto a protein-DNA complex.
- New S3 and C4 symmetry restraints
- Radius of gyration restraint
- Option to automatically define dihedral angle restraints from the input structures
- Pseudo contact shift restraints
- Interaction matrix to scale down or turn off interactions between specific molecules
- Water-mediated contact probabilities option based on Kyte-Doolittle hydrophobic scale
- DNA-specific fraction of water to keep for solvated docking
- Fraction of common contact (FCC) clustering option
- Default setup (parameters/topology files) for CNS1.3
- Removed analysis options (procheck, prosa)
- Added examples for various docking scenarios (see the example directory)
Please send any suggestions or enquiries to Alexandre Bonvin