|
|
std::vector< GridSpace > | grid_spaces |
| |
|
sf::Vector2f | position |
| |
|
sf::Vector2i | size |
| |
|
sf::Vector2f | space_size |
| |
◆ GridMap() [1/2]
◆ GridMap() [2/2]
| GridMap::GridMap |
( |
sf::Vector2f |
position, |
|
|
sf::Vector2< int > |
size, |
|
|
sf::Vector2f |
space_size |
|
) |
| |
Create a grid at the position relative to the window, with a grid size, and space size
- Parameters
-
| position | the upper left origin of this map |
| size | the number of spaces accross this map |
| space_size | the size of the spaces on this map |
◆ addObjectRandom()
| void GridMap::addObjectRandom |
( |
GridObject & |
object | ) |
|
- Parameters
-
| object | The object instance to add to this grid |
Add the object to a random room point on this grid.
◆ clear()
Remove all gridObjects from this grid
◆ generate()
| void GridMap::generate |
( |
| ) |
|
This will fill the grid based on the generation method of this gridmap. As an example it fills the grid with walls, then generates random rooms in the grid, carves floors into the grid, connects the rooms with hallways, removes any dead ends, and adds random objects.
◆ getEnemyAttempts()
| int GridMap::getEnemyAttempts |
( |
| ) |
|
- Returns
- the number of attempts this map will take to create enemies when generate is called
◆ getitemAttempts()
| int GridMap::getitemAttempts |
( |
| ) |
|
- Returns
- the number of attempts that generate will try to create items on this gridmap
◆ getRoomAttempts()
| int GridMap::getRoomAttempts |
( |
| ) |
|
- Returns
- the number of times this gridmap will attempt to create rooms when generate is called
◆ getRoomSize()
| sf::Vector2i GridMap::getRoomSize |
( |
| ) |
|
- Returns
- the room size of the rooms on this gridmap
◆ getSeed()
- Returns
- The seed for grid generation
◆ hasRooms()
| bool GridMap::hasRooms |
( |
| ) |
|
- Returns
- True if this GridMap has at least 1 room in its room list
◆ isFull()
| bool GridMap::isFull |
( |
std::string |
avoid_type | ) |
|
- Parameters
-
- Returns
- True if every GridSpace has an object with the type avoid_type
◆ randomPoint()
| sf::Vector2< int > GridMap::randomPoint |
( |
sf::Vector2< int > |
minLimit = sf::Vector2<int>(0, 0) , |
|
|
sf::Vector2< int > |
maxLimit = sf::Vector2<int>(0, 0) |
|
) |
| |
Return a random point inside the grid, if limit is passed it returns a point inside a subgrid
- Parameters
-
| limit | optional reduction of the grid size |
- Returns
- a random point on this GridMap
◆ randomRoom()
- Returns
- A random room from this GridMaps room list
◆ randomRoomPoint()
| sf::Vector2i GridMap::randomRoomPoint |
( |
std::string |
avoid_type = "" | ) |
|
- Returns
- A random point that is inside one of the rooms on this grid.
◆ randomRoomSize()
| sf::Vector2< int > GridMap::randomRoomSize |
( |
| ) |
|
Generate a random room size based on this grid's room_size
- Returns
- a random room size
◆ setEnemyAttempts()
| void GridMap::setEnemyAttempts |
( |
int |
enemy_attempts | ) |
|
Set the number of enemy attempts. This is the number of times this grid will attempt to create a random enemy when calling generate
◆ setItemAttempts()
| void GridMap::setItemAttempts |
( |
int |
item_attempts | ) |
|
Set the number of item attempts. This is the number of times this grid will attempt to create a random item when calling generate
◆ setRoomAttempts()
| void GridMap::setRoomAttempts |
( |
int |
room_attempts | ) |
|
Set the number of room attempts. This is the numbe of times this grid will attemp to create rooms when calling generate.
◆ setRoomSize()
| void GridMap::setRoomSize |
( |
sf::Vector2i |
room_size | ) |
|
Set the room size of this gridmap
- Parameters
-
| room_size | the room size of rooms on this gridmap |
◆ setSeed()
| void GridMap::setSeed |
( |
int |
seed | ) |
|
Set the seed for grid generation and set srand for the seed
The documentation for this class was generated from the following files:
- /home/user/ITCS3112-MapGenerator/include/GridMap.h
- /home/user/ITCS3112-MapGenerator/src/GridMap.cpp


We are a clean, chic, and creative nail salon.
Our purpose is to provide you with a safe and comfortable retreat for you. Whether you are visiting a salon for the first time or are a loyal guest, it is our goal to make you feel like our only guest.
Our hope is that you relax and rejuvenate in our serene spa.
Our job is to ensure that every individual leaving our salon looks and feels their best.
This manicure includes nail shaping, cuticle grooming and hydration, and a relaxing lower arm and hand massage. Finishing up with hot towels and selection of polish adds the final touch.
Your hands receive the regular manicure and then are prepped for the application of gel polish. The gel polish is cured with an UV-LED light and the nails are instantly dry! The gel feels virtually weightless on your hands and they stay flawless and shiny for up to two weeks. Every gel-manicure comes with 2 weeks guarantee. We are happy to fix your chipped nails with a same color for free. Ask your technician for more information about our policy.
This pedicure includes nail shaping, cuticle grooming and hydration, and a relaxing lower leg and foot massage with a luxurious blend of purifying sea salts and oils that gently scrubs away dull, dry skin. Hot towels finish the pedicure while your selection of polish adds a personalized touch.
The Regular pedicure plus a Lavender and mint sugar scrub that gently exfoliates dry skin and reveals softer, smoother skin. Hydrating lower legs with Lavander Mask and 10 minitues foot massage follow accompanied by a hot towel wrap. Your selection of polish adds a personalized touch.
The Regular pedicure plus a Tropical sugar scrub that gently exfoliates dry skin and reveals softer, smoother skin. Hydrating lower legs with Mint by a hot towel wrap. Enjoy 15 mintues long foot massage. Finishing up with your selection of polish adds a personalized touch.


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Washington Womenade in the News
Second Helpings, by Jean Hanff Korelitz, Real Simple Magazine, August 2002 Issue
Women Turn potluck party into new charity for poor, by Brigid Shulte, Washington Post, Tuesday, February 17, 2004
Women Turn potluck party into new charity for poor, by Brigid Shulte, Oakland Tribune, March 14, 2004
Lightbulb Moment, by Lisa Herrick, Swarthmore College Bulletin, December 2004
Successful Women: Amy Kossoff, Making Philanthropoy Personal, Jewish Women International, Fall 2003
Simply Helping, by Mary Mulkerin Donius, Boston.com News, November 21, 2004
Giving Circles and Fundraising in the New Philanthropy Environment, Final Report, Association of Fundraising Professionals, Angela M. Eikenberry, Feb. 2007
Current Events: Eat Out or Help Out, Peace Builders Initiative, Catholic Theological Union
You Don't Have to be a Zillionaire to be a Philanthropist, by Leah Dobkin, ELDR Magazine, July 11, 2007
Chronicles of Mommyhood, Blog, June 25, 2007
Womanade: Women Making a Difference, by Susan DuBois, article in Doorways for Women and Children
Other Womenades in the News
Womenade of the Hamptons Forms, Hampton Union, August 19, 2005
Simple dinners raise big dollars for Womenade, by Mary Beth Smetzer, Fairbanks Daily News-Miner, December 3, 2006
Jacksonville Florida Womenade article
Do-Good Marketing, by Beverly Savage, New Jersey Weekly Desk, November 30, 2003
Do-Good Marketing, by Beverly Savage, The New York Times, November 30, 2003
Womenade Sweetens Ambulance Rides for Kids, Milwaukee Journal Sentinel, December 7 ,2003
Albemarle County Public Schools article, Charlottesville Virginia
'Womenade' helps make small changes in people's livesArticle by Charles A. Peterson, reproduced from The Granville Sentinel, Vol. 33, No. 34, Thursday, Feb. 13, 2003
Huge Success at Womenade's 'Dudes for Daniel', Suzanne Church, Jacksonville.com, Tuesday, November 14, 2006
Volunteering Makes a Difference, Stephanie Acosta, Jacksonville.com, Tuesday, April 12, 2004
Womenade Lends Helping Hand to Child Cancer Fund, St. Augustine.com, Wednesday, October 6, 2004
UNH alumna to perform at benefit in Portsmouth, by Helen Hocknell, The New Hampshire, October 30, 2006
Womenmade: 1 part playing, 1 part giving, Rexanna Savannah, SavannahNow.com, Sunday July 2, 2006
Westchase Womenade a Rousing Success!, Pat Patoskie, October 2002
Missouri Friends Raise Funds for Medical Clinic, Susan Atteberry Smith, Springfield News-Leader, Saturday, October 12, 2002
Mullen: Friendly Airwaves Link Iraq to Utah, Hoyy Mullen, The Salt Lake Tribune, April 16, 2006
Mention of a Womenade fundraiser in Atherton, CA,The Almanac, November 15, 2006
Simply Helping: Four friends come together to organize a no-frills way to give back to the community, Mary Mulkerin Donius, November 21, 2004, The Boston Globe
Bachelors raise $20,000-plus for Daniel, by Miranda G. McLeod, Realty/Builder Connectin, Jacksonville, FL, October 13, 2006
Pictures with Principal Ford to aid Womenade, Melissa Lattman, July 20, 2007<EMAIL_ADDRESS>New Hampshire
Kim Minasian mixes friends funds and Makes Womenade, Mindy Sullivan, Principal Broker, November 2005, page 11
Sharing with the Community, by Denise Sauttersby, CantonRep.com, January 5, 2007
|


{% extends "base.html" %}{% load snippets_tags thumbnail %} {% block title %}App Summit 2015 - {{ block.super }}{% endblock title %} {% block content %}
This event is a great opportunity for innovative developers, entrepreneurs, technology companies, forward-thinking communities, leading university researchers, students, and federal agency leaders that are interested in showcasing, networking, and learning about advanced technologies.
We will demonstrate how these new technologies are transforming how we work, live, learn, and play.
To learn more about the event, submit your application, or get your organization involved, contact Joe Kochan at<EMAIL_ADDRESS>To learn more about US Ignite, visit www.us-ignite.org, Facebook, Twitter, or Google+. To see highlights from the 2014 Application Summit visit https://www.youtube.com/watch?v=E1XAaToT5lY.
Make a Community Collaboration Exchange profile (CCX) and get involved with the US Ignite community!


Paytm raises $1 billion in fresh funding led by T Rowe Price
The company plans to invest $1.4 billion over the next three years to expand financial services
by PTIDigital payments firm Paytm on Monday said it has raised $1 billion (around ₹7,173 crore) in fresh round of funding led by U.S.-based asset management firm T Rowe Price.
Existing investors Alibaba and Softbank also participated in the funding round, according to a company statement.
The company plans to invest around $1.4 billion over the next three years to expand financial services.
“Paytm will invest ₹10,000 crore ($1.4 billion) over the next three years to bring financial inclusion to more underserved users in the country,” it said.
Paytm CEO Vijay Shekhar Sharma reportedly said the fresh round of funding is of $1 billion led by T Rowe Price in which Chinese e-commerce major Alibaba’s subsidiary Ant Financial pumped in $400 million and Softbank $200 million, taking the company’s valuation at $16 billion.


{% load static %}
{% include "components/nav.html" %}
{{player_name}}
{% if player %} {% for p in player %}
Position: {{ p.position}}
{{team_name}}
{% endfor %} {% endif %} {{season_stats}}
PPG
{{ppg}}
APG
{{apg}}
RPG
{{rpg}}
SPG
{{spg}}
BPG
{{bpg}}
Player vs League


Ocean [ae31], ocean, in Crystal Sea
Last updated Turn #125
Ocean [ae31], ocean, in Crystal Sea
------------------------------------------------------------------------
11: Sirocco Traveller [ja8y], ship, 10 hulls, 1 rowing port, 30 sails,
11: 4% damaged, arrived from Wildhorse Plains [ae32], owner:
11: Toulouse [h1q], Pen, with one worker, 32 sailors
12: Sirocco Traveller [ja8y], ship, 10 hulls, 1 rowing port, 30 sails,
12: 4% damaged, departed for Wildhorse Plains [ad31].
Routes leaving Ocean:
North, plain, to Wildhorse Plains [ad31], Oleg's Folly, 2 days
East, plain, to Wildhorse Plains [ae32], Oleg's Folly, 2 days
South, to Ocean [af31], 6 days
West, to Ocean [ae30], 6 days
Inner locations:
Island [ab6p], island, 1 day, owner:
Giant spider [ju0g], giant spiders, number: 16


Howdy! Here's a list of awesome computer scientists. Do you know any others? Add to the list yourself.
DropDownList


| exposure |
E1 |
future daily rainfall projections to 2100 |
mm/day |
| E2 |
100-year storm surge height above ground level |
m |
| sensitivity |
S1 |
children and elderly population density |
people/km
2
|
| S2 |
major facilities and infrastructure density |
km
2/km
2
|
| coping |
C1 (or LC1) |
emergency facilities density |
number/km
2
|
| C2 (or LC2) |
river improvement ratio |
km/km |


South Indian Recipe
Stuff Idli Shambhar
Recipe
Stuff Idli Shambhar
×
Ingredients:
Readymade idli batter as required, 2 tablespoons dabeli masala, 1/4 teaspoon turmeric powder, 1 teaspoon red chilli powder, Salt to taste, 1 tablespoon oil + for greasing and shallow-frying , 2 teaspoons castor sugar, 2 raw bananas, peeled, steamed and mashed, 1 tablespoon desiccated coconut, 1 tablespoon chopped fresh coriander leaves, Date-tamarind chutney for spreading and drizzling, Green chutney for spreading and drizzling, Spiced peanuts as required
Method:
1. Take dabeli masala in a bowl. Add turmeric powder, chilli powder and salt and mix well.
2. Heat 1 tablespoon oil in a non-stick pan. Add dabeli masala mixture and sauté for 30 seconds. Add 1-2 tablespoons water and mix. Add castor sugar, mix and cook till it melts.
3. Add raw banana mash, mix and cook for 1-2 minutes. Add desiccated coconut and coriander leaves, mix and cook for 1 minute. Transfer in a bowl and cool.
4. Heat some water in an idli steamer and bring to a boil.
5.
6. Grease the idli moulds with some oil and pour 1 tablespoon of idli batter into each mould. Place one banana mixture portion in the center and pour some idli batter on top filling the remaining moulds.
7. Place the moulds in the hot steamer and steam for 10-15 minutes. Remove from steamer, slightly cool and demould.
8. Heat some oil in a non-stick pan and shallow-fry the steamed stuffed idlis from both sides till golden and crisp. Drain on absorbent paper.
9. Halve fried idlis, spread some date-tamarind chutney and green chutney on the halved side and place few spiced peanuts.
10. Drizzle some date-tamarind chutney and green chutney and serve immediately.
Vagetable Upma
Recipe
Vagetable Upma
×
Ingredients:
1 cup semolina (rawa/suji), 1 medium onion, 1 tablespoon oil, 1 teaspoon mustard seeds, 1/2 teaspoon cumin seeds (jeera), 1 teaspoon split skinless black gram (dhuli urad dal), 1/2 teaspoon asafoetida (hing), 6-7 curry leaves, 1-2 green chillies, finely chopped, 1 medium tomato, 1 medium carrot, peeled and finely chopped, 1/4 cup frozen green peas, Salt to taste, 1 teaspoon sugar, Fried curry leaves sprig for garnishing, Scraped fresh coconut for garnishing, Coconut chutney for serving.
Method:
1. Dry-roast semolina in a non-stick pan on medium heat till golden brown, stirring frequently. Transfer on a plate and cool.
2. Finely chop onion.
3. Heat oil in another non-stick pan. Add mustard seeds and cumin seeds and let the mustard seeds splutter.
4. Add split black gram, asafoetida and curry leaves and let the curry leaves crackle. Add chopped onion and mix. Add green chilli and sauté till onion turns light golden brown
5. Chop tomato.
6. Boil 2½ cups water in a deep non-stick pan.
7. Add chopped tomato to sautéed onion mixture and mix. Add carrot and green peas and mix. Add ¼ cup water and salt, mix, cover and cook for 2 minutes or cook till the water evaporates.
8. Add roasted semolina and mix. Add salt and sugar and mix. Add boiling water, mix, reduce heat, cover and cook for 7-8 minutes.
9. Put the upma in a bowl, lightly press and level it out. Place the bowl inverted on a serving plate and demould. Garnish with fried curry leave sprig, coconut and lemon slice.
10. Serve hot with coconut chutney.


| MATLAB 文件帮助: cv.moments | 查看 cv.moments 的代码 | Index |
moments Calculates all of the moments up to the third order of a polygon or rasterized shape
mo = cv.moments(array)
mo = cv.moments(array, 'OptionName', optionValue, ...)
int32
or single
type) of the
form {[x,y], ...}
.The function computes moments, up to the 3rd order, of a vector shape or a
rasterized shape. The results are returned in the moments struct mo
.
The spatial moments m_ji
are computed as:
m_ji = \sum_{x,y} (array(x,y) * x^j * y^i)
The central moments mu_ji
are computed as:
mu_ji = \sum_{x,y} (array(x,y) * (x-xbar)^j * (y-ybar)^i)
where (xbar, ybar)
is the mass center:
xbar = m10/m00, ybar = m01/m00
The The normalized central moments nu_ji
are computed as:
nu_ji = mu_ji / m00^((i+j)/2+1)
NOTE: mu00 = m00
, nu00 = 1
, nu10 = mu10 = mu01 = mu10 = 0
, hence the
values are not stored.
The moments of a contour are defined in the same way but computed using the Green's formula (see http://en.wikipedia.org/wiki/Green_theorem). So, due a limited raster resolution, the moments computed for a contour are slightly different from the moments computed for the same rasterized contour.
NOTE: Since the contour moments are computed using Green formula, you may
get seemingly odd results for contours with self-intersections, e.g. a zero
area (m00
) for butterfly-shaped contours.


Walmart, Tesla settle lawsuit over fiery solar panels
by The Associated PressNEW YORK (AP) — Walmart and Tesla have settled a lawsuit filed by the retail giant alleging that Tesla installed rooftop solar panels that caught fire.
Lawyers for both sides filed documents in New York Supreme Court discontinuing the legal action. The companies say in a joint statement that both sides have resolved issues raised by Walmart in the case.
In the lawsuit filed in August, Walmart said Tesla installed solar panels that went up in flames on seven of its store rooftops from 2012 to 2018, causing millions of dollars in damage.
The statement issued Wednesday says safety is a priority for both companies and they look forward to reactivating the systems.
The companies said in late August that they were working to resolve the dispute. Terms of the settlement weren’t disclosed.
The Associated Press


Meaningful tokens
- Make list of places where tokens are used and for each token test
- Is whole token used? Inspect static and dynamic parts of token. Use Intruder Char Frobber.
- Register several users with similar names/emails/input data and compare issued tokens
- Analyze these tokens for any correlation with username, email or other submitted data
- Look for sequences in tokens. (ie. timestamp)
- Can tokens be reverse-engineered? If yes use Intruder and page which needs valid token.
- Common session token strings
- [hex or base64 or md5 or sha256] <IP_ADDRESS>:owaspuser:password:15:58
- [hex or base64 or md5 or sha256] owaspuser:<IP_ADDRESS>: a7656fafe94dae72b1e1487670148412
Predictable tokens
- Search for concealed sequences. Use Sequencer and Decoder
- Search for time dependency. Use sequencer and Decoder
Encrypted tokens
- Identify if block cypher used for tokens encryption
- Register new users every time adding 1 character. If token suddenly jumps in length by 4 or 8 bytes then it's block encrypted.
- Continue registering new users every time adding 1 character and confirm next token length jump
- Check for ECB encrypted tokens (8byte blocks, identical plaintext block encrypted to identical ECB blocks)
- If possible generate large numbers of URLs with various parameters and corresponding tokens
- Find 4 bytes or 8 bytes string duplicates and try to tamper requests
- Search for decryption functionality which could be used even for token encryption
- Test for CBC with Intruder and bit-flipping payload. Monitor user which you are logged in as. Test tokens with all users you created when identifying block cyphered token.


4 Multiple linear regression
4.1
Descriptions of the data: https://stat.ethz.ch/R-manual/R-patched/library/datasets/html/airquality.html
Daily air quality measurements in New York, May to September 1973.
data("airquality")
names(airquality)
## [1] "Ozone" "Solar.R" "Wind" "Temp" "Month" "Day"
require(graphics)
pairs(airquality, panel = panel.smooth, main = "airquality data")
A formula of the form y ~ x | a
indicates that plots of y
versus x
should be produced conditional on the variable a
. A formula of the form y ~ x| a * b
indicates that plots of y
versus x
should be produced conditional on the two variables a
and b
coplot(Ozone~Solar.R|Wind, panel = panel.smooth, airquality)
##
## Missing rows: 5, 6, 10, 11, 25, 26, 27, 32, 33, 34, 35, 36, 37, 39, 42, 43, 45, 46, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 65, 72, 75, 83, 84, 96, 97, 98, 102, 103, 107, 115, 119, 150
model2 = lm(Ozone~Solar.R*Wind, airquality)
par(mfrow=c(2,2)) # Change the panel layout to 2 x 2
plot(model2)
par(mfrow=c(1,1)) # Change back to 1 x 1
- Residuals vs Fitted
This plot shows if residuals have non-linear patterns. There could be a non-linear relationship between predictor variables and an outcome variable and the pattern could show up in this plot if the model doesn’t capture the non-linear relationship. If you find equally spread residuals around a horizontal line without distinct patterns, that is a good indication you don’t have non-linear relationships.
- Normal Q-Q
This plot shows if residuals are normally distributed. Do residuals follow a straight line well or do they deviate severely? It’s good if residuals are lined well on the straight dashed line.
- Scale-Location
It’s also called Spread-Location plot. This plot shows if residuals are spread equally along the ranges of predictors. This is how you can check the assumption of equal variance (homoscedasticity). It’s good if you see a horizontal line with equally (randomly) spread points.
- Residuals vs Leverage
This plot helps us to find influential cases (i.e., subjects) if any. Not all outliers are influential in linear regression analysis (whatever outliers mean). Even though data have extreme values, they might not be influential to determine a regression line. That means, the results wouldn’t be much different if we either include or exclude them from analysis. They follow the trend in the majority of cases and they don’t really matter; they are not influential. On the other hand, some cases could be very influential even if they look to be within a reasonable range of the values. They could be extreme cases against a regression line and can alter the results if we exclude them from analysis. Another way to put it is that they don’t get along with the trend in the majority of the cases.
Unlike the other plots, this time patterns are not relevant. We watch out for outlying values at the upper right corner or at the lower right corner. Those spots are the places where cases can be influential against a regression line. Look for cases outside of a dashed line, Cook’s distance. When cases are outside of the Cook’s distance (meaning they have high Cook’s distance scores), the cases are influential to the regression results. The regression results will be altered if we exclude those cases.
#install.packages("UsingR")
suppressWarnings(suppressMessages(library(UsingR)))
data(father.son)
names(father.son)
## [1] "fheight" "sheight"
model_fs = lm(fheight~sheight, father.son)
par(mfrow=c(2,2)) # Change the panel layout to 2 x 2
plot(model_fs)
4.2
summary(model2)
##
## Call:
## lm(formula = Ozone ~ Solar.R * Wind, data = airquality)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.694 -17.200 -4.384 12.740 78.218
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 34.467686 17.634602 1.955 0.053246 .
## Solar.R 0.324141 0.083928 3.862 0.000193 ***
## Wind -1.594546 1.508979 -1.057 0.293026
## Solar.R:Wind -0.020279 0.007246 -2.799 0.006089 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.16 on 107 degrees of freedom
## (42 observations deleted due to missingness)
## Multiple R-squared: 0.487, Adjusted R-squared: 0.4727
## F-statistic: 33.86 on 3 and 107 DF, p-value: 1.807e-15
par(mfrow=c(1,2)) # Change back to 1 x 1
termplot(model2, partial.resid=TRUE, col.res = "royalblue")
## Warning in termplot(model2, partial.resid = TRUE, col.res = "royalblue"):
## 'model' appears to involve interactions: see the help page
summary(airquality$Solar.R)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 7.0 115.8 205.0 185.9 258.8 334.0 7
summary(airquality$Wind)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.700 7.400 9.700 9.958 11.500 20.700
Solar1 = mean(airquality$Solar.R, na.rm=T)
Solar2 = 100
Solar3 = 300
p1 = predict(model2, data.frame(Solar.R=Solar1, Wind=1:20))
p2 = predict(model2, data.frame(Solar.R=Solar2, Wind=1:20))
p3 = predict(model2, data.frame(Solar.R=Solar3, Wind=1:20))
p1
## 1 2 3 4 5 6
## 89.370627 84.005541 78.640456 73.275370 67.910285 62.545199
## 7 8 9 10 11 12
## 57.180113 51.815028 46.449942 41.084856 35.719771 30.354685
## 13 14 15 16 17 18
## 24.989600 19.624514 14.259428 8.894343 3.529257 -1.835829
## 19 20
## -7.200914 -12.566000
plot(Ozone~Wind, airquality, col="grey")
lines(p1, col="red")
lines(p2, col="blue")
lines(p3, col="darkgreen")


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transport(self)
Returns the transport associated with the event, or null if none is
associated with it. |
source code
|
|
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connection(self)
Returns the connection associated with the event, or null if none is
associated with it. |
source code
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session(self)
Returns the session associated with the event, or null if none is
associated with it. |
source code
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link(self)
Returns the link associated with the event, or null if none is
associated with it. |
source code
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sender(self)
Returns the sender link associated with the event, or null if none is
associated with it. |
source code
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receiver(self)
Returns the receiver link associated with the event, or null if none
is associated with it. |
source code
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delivery(self)
Returns the delivery associated with the event, or null if none is
associated with it. |
source code
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Inherited from wrapper.Wrapper :
__del__ ,
__delattr__ ,
__eq__ ,
__hash__ ,
__ne__ ,
__setattr__
|
|
|
REACTOR_INIT = _core(PN_REACTOR_INIT, "on_reactor_init")
|
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REACTOR_QUIESCED = _core(PN_REACTOR_QUIESCED, "on_reactor_quie...
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REACTOR_FINAL = _core(PN_REACTOR_FINAL, "on_reactor_final")
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TIMER_TASK = _core(PN_TIMER_TASK, "on_timer_task")
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CONNECTION_INIT = _core(PN_CONNECTION_INIT, "on_connection_init")
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CONNECTION_BOUND = _core(PN_CONNECTION_BOUND, "on_connection_b...
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CONNECTION_UNBOUND = _core(PN_CONNECTION_UNBOUND, "on_connecti...
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CONNECTION_LOCAL_OPEN = _core(PN_CONNECTION_LOCAL_OPEN, "on_co...
|
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CONNECTION_LOCAL_CLOSE = _core(PN_CONNECTION_LOCAL_CLOSE, "on_...
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CONNECTION_REMOTE_OPEN = _core(PN_CONNECTION_REMOTE_OPEN, "on_...
|
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|
CONNECTION_REMOTE_CLOSE = _core(PN_CONNECTION_REMOTE_CLOSE, "o...
|
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CONNECTION_FINAL = _core(PN_CONNECTION_FINAL, "on_connection_f...
|
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SESSION_INIT = _core(PN_SESSION_INIT, "on_session_init")
|
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SESSION_LOCAL_OPEN = _core(PN_SESSION_LOCAL_OPEN, "on_session_...
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SESSION_LOCAL_CLOSE = _core(PN_SESSION_LOCAL_CLOSE, "on_sessio...
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SESSION_REMOTE_OPEN = _core(PN_SESSION_REMOTE_OPEN, "on_sessio...
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SESSION_REMOTE_CLOSE = _core(PN_SESSION_REMOTE_CLOSE, "on_sess...
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SESSION_FINAL = _core(PN_SESSION_FINAL, "on_session_final")
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LINK_INIT = _core(PN_LINK_INIT, "on_link_init")
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LINK_LOCAL_OPEN = _core(PN_LINK_LOCAL_OPEN, "on_link_local_open")
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LINK_LOCAL_CLOSE = _core(PN_LINK_LOCAL_CLOSE, "on_link_local_c...
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LINK_LOCAL_DETACH = _core(PN_LINK_LOCAL_DETACH, "on_link_local...
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LINK_REMOTE_OPEN = _core(PN_LINK_REMOTE_OPEN, "on_link_remote_...
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LINK_REMOTE_CLOSE = _core(PN_LINK_REMOTE_CLOSE, "on_link_remot...
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LINK_REMOTE_DETACH = _core(PN_LINK_REMOTE_DETACH, "on_link_rem...
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|
LINK_FLOW = _core(PN_LINK_FLOW, "on_link_flow")
|
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LINK_FINAL = _core(PN_LINK_FINAL, "on_link_final")
|
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|
DELIVERY = _core(PN_DELIVERY, "on_delivery")
|
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|
TRANSPORT = _core(PN_TRANSPORT, "on_transport")
|
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|
TRANSPORT_ERROR = _core(PN_TRANSPORT_ERROR, "on_transport_error")
|
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|
TRANSPORT_HEAD_CLOSED = _core(PN_TRANSPORT_HEAD_CLOSED, "on_tr...
|
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|
TRANSPORT_TAIL_CLOSED = _core(PN_TRANSPORT_TAIL_CLOSED, "on_tr...
|
|
|
TRANSPORT_CLOSED = _core(PN_TRANSPORT_CLOSED, "on_transport_cl...
|
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|
SELECTABLE_INIT = _core(PN_SELECTABLE_INIT, "on_selectable_init")
|
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|
SELECTABLE_UPDATED = _core(PN_SELECTABLE_UPDATED, "on_selectab...
|
|
|
SELECTABLE_READABLE = _core(PN_SELECTABLE_READABLE, "on_select...
|
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|
SELECTABLE_WRITABLE = _core(PN_SELECTABLE_WRITABLE, "on_select...
|
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SELECTABLE_EXPIRED = _core(PN_SELECTABLE_EXPIRED, "on_selectab...
|
|
|
SELECTABLE_ERROR = _core(PN_SELECTABLE_ERROR, "on_selectable_e...
|
|
|
SELECTABLE_FINAL = _core(PN_SELECTABLE_FINAL, "on_selectable_f...
|


What Are You Playing This Weekend?
by Riley MacLeodThe weekend is for finally throwing out all the takeaway containers that don’t have lids, because my tendency to think “I could use this, I’ll save it!” has tipped over into a frightening compulsion. The weekend is also for playing video games.
I’m on the fence about playing Death Stranding: I have very little patience for Kojima games, but I’m really curious about it. I’m pretty sure I’m just going to tuck up on the couch with a Let’s Play (do you have one you’d recommend?) but I might get curious enough to give it a shot. Otherwise I’m really feeling the need for some comforting games this week. I’d like to go back to Wilmot’s Warehouse, Into the Breach, and other small bite stuff I have on my Switch. Also while on the couch. I think what I’m saying is: I want to be on the couch.
What about you? What are you playing?


'World's Largest Kidney' Weighing 7.4 kg Removed in Indian Hospital, Doctors Say
New Delhi (Sputnik): The patient suffered from a genetic disorder, autosomal dominant polycystic kidney disease (ADPKD), in which fluid-filled cysts develop in both kidneys. This leads to swelling and renal failure. ADKPD later requires renal transplant.
Surgeons in India’s national capital have removed a kidney weighing 7.4 kg from the abdomen of a 56-year-old Delhi resident. They claim it be the world's largest kidney removed, equalling the weight of two newborn babies.
"While a normal human kidney weighs between 120-150 gm, this kidney equalled the weight of two newborn human babies," said Dr. Sachin Kathuria, urology consultant at the city’s Sir Ganga Ram Hospital.
It took a two-hour surgery to remove the organ whose dimensions were 32 x 21.8 cm. It had occupied almost the entire abdominal cavity of the patient.
"Although pre-operative scans showed a huge kidney, even we did not expect it will be the heaviest," Dr Kathuria said.
The Guinness World Records mentions the removal of a kidney weighing 4.25 kg by doctors in 2017 from a patient suffering from polycystic kidney disease.
The doctors at Sir Ganga Ram Hospital have plans to apply to the Guinness World Records.
The doctors said that the patient has since recovered and has been discharged from the hospital. He is undergoing dialysis and waiting for a renal transplant.


Program flow
The Factory Entry Daemon is based on the polling principle; it runs in an eternal loop as described in the picture below.
The
configuration is read only once, during daemon startup, so a restart is
needed for every configuration change.
However, the daemon checks
the downtime file in every iteration, so a change to the
downtime configuration file does not need any further action on the
daemon.
Most stages are self explanatory, so they will not be described to further detail. However, a few need more detail; in particular:
Find and perform work
This stage is composed of three logical parts, as shown in the picture below:
Find the requests by querying the HTCondor Collector
For each request:
Keep the required number of idle jobs in the HTCondor Schedd (G) queueFor each request: Extract the statistics
This stage requires two input fields, the configuration data and the downtime flag, and returns the request-specific job statistics.
It also communicates with external HTCondor daemons. To talk to them, it currently uses the HTCondor command line tools:
- condor_status to query the HTCondor Collector
- condor_q to query the HTCondor Schedd
- condor_submit to submit new jobs to and to release held jobs in the HTCondor Schedd
The requests are inserted into the HTCondor Collector by the VO frontends. The picture below shows the format of the request as present in the Collector.
Advertise myself
The advertise stage advertises the existence of the Entry Daemon
and its statistics to the HTCondor
Collector.
Two classes of ClassAds are sent, one for the
Entry Daemon itself, and one for every processed event. The two types
of ClassAds are shown in the pictures below.
The current implementation uses a HTCondor provided command line tool, namely condor_advertise, for this task.
Write statistics
The write statistics stage converts the in-memory statistics into files in the Web exported monitoring area, as shown in the picture below.
The data is written both in a XML file and
as entries in RRD
archives.
The XML data can be used by other applications, while the RRD archives can be viewed using the provided HTML pages based on JavascriptRRD and Flot.
The current implementation will use the Python RRDTool library, if available. Else, it will fall back to the command line tool.
Source code distribution
The Factory Entry Daemons are implemented as python scripts, and they don't need to be pre-compiled.
The code is spread over several Python modules, some specific to
the Factory other shared between different parts of the GlideinWMS. A
shell script is also used.
There are also some external
dependencies, namely the rrdtool
and M2Crypto
python libraries and the HTCondor
command line binaries.
The picture below shows the dependency tree.
Note: glideFactoryEntry.py
is executable.
The GlideinWMS common libraries are in glideinWMS/lib
directory.
The shell script is located in the root directory of
the Factory tree, copied there during the creation
of the tree itself.
Configuration files
The Factory Entry Daemons have configuration files both in the root of the Factory configuration tree as well as in the entry specific subdirectory. The configuration files in the root are common for all the entry points, while the ones in the entry subdirectory are specific to that Entry Daemon.
Warning: The configuration files should never be changed by hand. They are generated and maintained by a dedicated tool.
Shared configuration files
The configuration files in the root of the Factory configuration tree are shared between all the Factory Entry Daemons.
The following files are used:
glidein.descript – This file contains the Factory description, where the most of the elements are used. Follows the description of the most important ones:
- FactoryName and GlideinName – The Factory name used when advertising the Entry Daemon.
- WebURL – Where are the glidein support files located.
- PubKeyType – Should I use encrypted IPC and if so, using which algorithm.
- DowntimeFile – The name of the file containing all the Factory downtimes. Usually defaults to “glideinWMS.downtimes”.
- LoopDelay and AdvertiseDelay – How much should it sleep between iterations, and the minimum Collector update frequency.
params.cfg – This file contains the Factory global default parameters. These are for values the Frontend will change, also published in the Factory ClassAd
Entry-specific configuration files
The configuration files in the entry-specific subdirectory are used by only one Entry Daemon.
The following files are used:
job.descript – This file contains the entry description. It is used by the Factory entry Daemon in order to decide how to do work, and all the elements are used. Follows the description of the most important ones:
- EntryName – The entry name used when advertising the Entry Daemon.
- ScheddName – The HTCondor Schedd used to submit jobs.
- SubmitCluster – How many jobs should I submit in a single submission.
- MaxIdle, MaxGlideins, MaxHeld – Limits on the number of jobs in the HTCondor Schedd queue.
- MaxSubmitRate, MaxRemoveRate, MaxReleaseRate, SubmitSleep, RemoveSleep, ReleaseSleep – Knobs to limit the interaction with the HTCondor Schedd.
- DowntimeFile – The name of the file containing all the Factory downtimes. Usually defaults to “glideinWMS.downtimes”.
job.condor – A condor description file that is used for submitting the jobs using condor_submit.
params.cfg – This file contains the entry-specific default parameters. These are for values the Frontend will change and also published in the Factory ClassAd
attributes.cfg - This file contains fixed values whiche are published in the Factory ClassAd
infosys.descript – This file contains the reference to the information system that contains the information of this entry point.


VisitorCenter
public struct VisitorCenter : Decodable, Identifiable
Visitor center data includes location, contact, and operating hours information for visitor centers and other visitor contact facilities in national parks At least one visitor center is listed for each park; some parks with multiple visitor centers may include information about more than one
-
ID
Declaration
Swift
public let id: String
-
A variable width character code used to identify a specific park
Declaration
Swift
public let parkCode: String
-
News release title
Declaration
Swift
public let name: String
-
General description of the facility
Declaration
Swift
public let description: String
-
Date news release was released
Declaration
Swift
public let directionsInfo: String?
-
Link to full news release
Declaration
Swift
public let directionsUrl: URL?
-
News release image
Declaration
Swift
public let gpsLocation: CLLocation?
-
Visitor Center addresses (physical and mailing)
Declaration
Swift
public let addresses: [Address]?
-
Hours and seasons when the visitor center is open or closed
Declaration
Swift
public let operatingHours: [OperatingHour]?
-
Undocumented
Declaration
Swift
public let contacts: ContactInformation?
-
Declaration
Swift
public init(from decoder: Decoder) throws


All rights reserved.
No part of this website may be reproduced without written permission of the publisher.
This includes graphics, text and any other creativve materials. The only exceptions are brief quotations for review purposes.
This website was created as a school task


Asia stocks are sliding on trade war angst, SSE Composite -0.22%
by Ross J Burland- Asian benchmarks are sliding, SSE Composite -0.22%, Nikkei 225 (-0.49%).
- US Senate passage of bill in support of Hong Kong protests spurs some concerns of impact to trade talks.
Asia stocks are sliding, following on the coattails of Wall Street as trade war angst surfaces once again. Indeed, the US Senate passage of bill in support of Hong Kong protests spurs some concerns of impact to trade talks; Nikkei 225 (-0.49%), SSE Composite -0.22%.
US Senate approves Hong Kong human rights bill, sends to House of Representatives - RTRS
On Monday, a CNBC report has investors moving to the sidelines as it was apparent that Chinese officials were concerned about Trump's prior comments about not being able to roll back tariffs.
"The latest report was that the rolling back of tariffs will be tied to the preliminary terms that were set when the trade talks failed in May," analysts at ANZ Bank explained, adding, "China has reportedly demanded that all tariffs imposed after May be removed immediately and then tariffs imposed before that be lifted gradually. US officials have a different view on how much Phase One would cover and what portion of the tariffs they should agree to roll back." In more recent trade, the angst has escalated in the US Senate approving the Hong Kong human rights bill which it is sending it to the House of Representatives.
Key notes:
Subsequently, the following statements have been streaming through, making for a risk-off session in Asia, so far:
- The Chinese Foreign Ministry was reiterating the threat to retaliate against the US bill on Hong Kong:
- Strongly condemns US senate measures on Hong Kong, resolutely opposes the action.US should stop interfering in Hong Kong and China’s affairs.US should stop the latest bills on Hong Kong from becoming law.China must take necessary measures to safeguard its sovereignty, security.
- Hong Kong government: The US bill is both unnecessary and ungrounded.HK government express regret over the US senate passage of the Hong Kong bill.HK government: Foreign parliament should not be interfering with internal affairs. HK government: Will continue to implement the one country systems.HK government: US Senate bill will have a negative impact on US interests.


My fellow trustee....you have been selected to travel back to the Roaring 20's, a time of partying, fun, and Intolerance. There is a mission I need you to complete for me. Mr. and Mrs. Albrecht have donated millions to Long Island and its reformations and they are highly valued. Someone has recently stolen and hidden Mrs. Clara Albrecht's ten million dollar daimond necklace from her home. This necklace is a family heirloom and it's absence has made Mrs. Albrecht tremendously distressed. We are aware that the necklace has been hidden somewhere in the 80 acre Warren Bamford Mansion. Tonight there will be party at this mansion which is located at the tip of Long Island near the Montauk Lighthouse. I will need you to attend this gathering and stay under the radar. Mr. and Mrs. Albrecht will take part in this festivity along side vast amounts of security. I will need you to find clues to where this necklace could be. Think you could help me find it without getting caught?
The time is 1920... It's around 7:00 P.M. on August 10. The sun is resting on the water slowly going down as the moon awakens. You hear the car doors shutting as people are arriving, the loud chatter and laughter of people mingling, and the alluring music that gets louder and louder as you enter the lively party.
This puzzle will be a letter that you will receive at your table. It will be difficult to undertsand unless you can decode it. The decoded version of the message will lead you to your next location where a clue will be provided.
This puzzle will be a recording you will need to listen to and listen carefully. A clue will be given, subtly, to help you get your next location. Be sure to take notes, it will help later on.
This puzzle will require you to piece the pictures together to make one big picture. The pictures will be broken up into smaller pictures. There will be three of these pictures. The whole pictures will provide you with your next clue.
This puzzle will require you to guess a number 1-100. If you guess the right number you will be rewarded. The reward is a clue for the next puzzle.
This will require you to match images together. There will be two of each image. A hint to your next clue will then be revealed to you once you match all pictures correctly.
This puzzle will provide you with a reading passage. This passage will secretly give you information. You should right down what you think is important. You will need the informatio to figure out your next clue.
Congratulations friend, you did it! You have safely found Mrs. Albrecht's daimond necklace and without getting caught! She appreciates all you have done and has decided to reward you with a free Escape Room Game.  We hope to see you again soon and thank you again for your great work. Open Modal


-
UI
- Screens
- Header/Footer
- Browse By Catagory
-
Database
- Display Random on Front Page
- Login User/Admin
- Individual Book Page
- User wishlist
-
PHP Back End
- $_SESSION and $_COOKIES
- e-mail order confirmation
-
Input Generation
- Book - (title, genre, etc.)
- Users - (name, credit card, addresses)
- Reviews - (specific book, from user)


Court jails six internet fraudsters in Delta
by Lukman ABOLADEAdvertisement
A FEDERAL High Court sitting in Warri, Delta State has on Wednesday convicted six internet fraudsters charged by the Economic and Financial Crimes Commission (EFCC) Benin Zonal Office.
In a statement made available to The ICIR, the commission disclosed that it has been able to secure the conviction of six internet fraudsters apprehended in 2018.
According to EFCC, the convicts are Ufuoma Miracle ( a.k.a Roland Gobalin) , Ofomola Omovigho ( a.k.a Doctor), Abraham Idede ( a.k.a Eugene Berry) ,Onatakapoma Julius (a.k.a Chris Roman: Frank Leonard), P. Rarowe (a.k.a Meyers) and Freeborn Efe.
The commission said five of the convicts, Miracle, Rarowe , Julius, Omovigho and Efe were arraigned on charges of impersonating foreign nationals on Facebook and defrauding their female victims in the process.
EFCC added that the sixth defendant, Abraham Dede was arraigned on a count charge of making a false statement and misrepresenting his identity for the purpose of procuring a Facebook account with intent to defraud unsuspecting people.
The Sitting Judge on the case, Emeke Nwite on Monday, November 18 convicted and sentenced five of the defendants to six months imprisonment and a fine of N200,000 each while Ofomola Omovigho was fined N300, 000.
Advertisement
One of the counts reads: “That you Onatakapoma Julius ( a.k.a Be. Chris Roman, a.k.a Frank Leonard) sometime in 2018 at Sapele, Delta State within the jurisdiction of this honourable court did with intent to defraud sent electronic messages which materially misrepresent facts to one Linda”.
The commission noted that Linda is a lady from Indonesia who suffered financial loss amounting to the sum of N370,769, 88 only and thereby committed an offence punishable under Section 14(2) of the Cybercrime (Prohibition Prevention etc) Act, 2015.
The statement further read that the six convicts pleaded guilty to the charges read to them by the Judge as levied against them by the commission.
EFCC added that the defence counsel, P.E.Ejiga prayed the court to temper justice with mercy as they were first time offenders who are remorseful for their actions.
The prosecution counsel, Fredrick Dibang urged the court to convict the defendants and also prayed the court order the forfeiture of items recovered from the defendants to the Federal Government.
Nwite, therefore, ruled that all items recovered from the convicts during investigation be forfeited to the Federal Government of Nigeria.


A Tool for Automating Similar Eligibility Protocol Criteria Writing for Clinical Trials Using Machine Learning
CTEligible is a tool for clinicians to automatically generate or write clinical trial protocols. The tool therefore solves the challenges and problematic or error prone nature of the manual process of writing clinical trial protocols.
CTEligible requires very minimal computer resources and can quickly generate clinical trial protocols.
CTEligible enables clinicians to do the following:
(1) Identify eligibility criteria that matches user inputs and makes recommendations,
(2) Reduces Drug Pricing, as this is one of the top 4 HHS Priorities
What's the project background?
Less than 5% of patients eligible for clinical trials register, resulting in higher drug development costs, drugs based on limited/overrepresented populations, and longer wait times. Making clinical trial search more effective can potentially decrease barriers to enrollment. The writing of clinical trial protocols -- the registration information describing a trial, its goals, the plan for carrying out the study, and who is eligible – historically has been written as free text independently for each trial. As a result, this text is not easily read by a computer. Searching across trials or linking data (like linking patients to eligible trials, or trials to eligible patients) becomes extremely problematic and error prone. One can make clinical trial searching and matching more successful by helping machines better understand the information that describes who is eligible for a clinical trial. The goal of this project is to use machine learning techniques to find patterns of similar eligibility protocol criteria for clinical trials and guide the development of data-base clinical trial protocols for patient-to-trial matching.


Example #1: intermediate is constrained by root's width to be narrower than inner.
With intrinsic-size to simulate subtree of inner.
With width/height to simulate subtree of inner. Notice layout result is not as desired.
With min-width/min-height to simulate subtree of inner. Notice layout result is not as desired.
Example #2: outer div is not constrained to the width of the inner one.
With intrinsic-size to simulate subtree of inner.
With width/min-height to simulate subtree of inner. Result has wrong width.
With min-width/min-height to simulate subtree of inner. In this case, the correct result is present.


---
layout: default
title: Page not found.
teaser: Octanis provides a place for curious and creative minds to embark on exploratory, technical missions around the world. Our objective is to distill our findings into pragmatic solutions and inventions, accessible to everyone.
cta: 'Find more info here
'
---


The .json-formatted configuration file¶
The CFM uses a .json-formatted file to configure individual model runs. JSON (JavaScript Object Notation) is a data-interchange file format. It consists of a number of names, each associated with a value. Values can be strings, Booleans, integers, floats, or arrays. Comments are not allowed, but can be added by considering the comment as a name/value pair. For the CFM, it provides a file format that is both easy to read and easy to alter in order to specify parameters for a particular model run. The configuration file is passed to the CFM, and the name/value pairs are read by the model and incorporated into the model run. The file format is editable in any text editor, and the name/value pairs are given by name: value, and different name/value pairs are separated by commas.
The specific names that are in the configuration .json file for the CFM are as follows. If any of the name/value pairs are missing, the model will generally return a message that that that name/value pair is missing and will use a default instead. For some name/value pairs the model run will fail. Note that in the .json file true/false are lowercase, but in the .py files they are True/False (first letter capitalized). The model automatically converts this.


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The Boundaries and names shown and the designations used on this map do not imply the expression of any opinion whatsoever
on the part of World Health Organization concerning th leagal status of any country, territory,
city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.
Dotted lines on maps represent approximate border lines for which there may not yet be full agreement.
|


A free, responsive, professional powerpoint theme. Created by all_zer0.
You can download powerpoint template for free on the page.
Feel free to leave us a comment on the powerpoint template overview page on Start Bootstrap to give some feedback about this theme!


MAME OS X does not come with the game software. To play the games you must obtain the game software, called ROMs, because the are images from the ROM chips of the original machine. Keep in mind that most ROMs are still covered by the manufacturer's copyright. Please respect this and only use ROMs that you actually own hardware for. MAME OS X looks for ROMs in:
${HOME}/Library/Application Support/MAME OS X/ROMs
Once you have ROMs, you can run the game by entering the game name in the dialog box. Game names are short, 8 characters or less. To see a list of possible game names, run the ROM Audit tool from the "Tools > ROM Audit" menu.


Your order is confirmed, kindly note the order number for further reference {{order.order_no}}. An order confirmation email is on the way to your inbox.
Enjoy your gourment meal!
Click here to track this order status
Or Continue shopping.
Your feedback is valuable to us. We always like to serve you better. If you have any suggestions or compliants kindly write to us on<EMAIL_ADDRESS>or call us at +91<PHONE_NUMBER>.


At this event you will learn all the secrets that will make you a successfull entrepeneur without the need for luck.


Findings
The themes in the two macro clusters (the red ones and the blue ones) don’t often mix their keywords. Anyway we can see some exceptions that can be studied navigating the graph. Themes characterized by a neutral or quite neutral connotation (like Cultural difference or Security forces) appear more diffused through the whole visualization.
From the graph also emerges that some movies tend to appear in clusters because their keywords are unique or not very shared with other films. An example of this is surely the most red cluster on the left which represents the movie “Machete”.
More popular movies tend to have more detailed description also through the high precision used by Imdb users to write them down and a confirmation of this comes when observing the keywords in detail.
Furthermore, keywords related to violence, criminality or to the sexual sphere appear to be more detailed. For instance if “shot” would be a relevant descriptor for one movie the keywords that appears instead are way more precise.
All possible conjugation are listed: “shot in the chest”, “shot in the back", “shot in the head”, “shot in the forehead”, “shot in the arm”, “shot in the shoulder”, “shot in the leg”, “shot in the throat”, “shot in the eye”, “child shot in the head”, “shot through the mouth”, “shot through the eye”, “shot in the knee” and more others.
In this way movies have an higher amount of keywords not only because they are more popular but also because, when it comes to these topics, they are obsessively described by the users who, once they saw the movie, spend their time writing extremely precise keywords on Imdb.
On the other hand it is also true that Imdb is used as a tool for professionals, like actors and directors, who want to be able to search specific actions or scenes to get help with their professional activity.


An identifier typically from a bioinformatics database(NCBI,Uniprot,Ensembl etc.)
| Field | Type | Label | Description |
| dbxref_id | string | Identifier |
|
| version | int64 |
|
|
| database | string | Source database |
| Field | Validations |
| dbxref_id |
|
| database |
|
Definition of a biological entity
| Field | Type | Label | Description |
| data | FeatureData |
|
Definition of various feature fields
| Field | Type | Label | Description |
| name | string | Short human readable textual name |
|
| created_by | int64 | Identifier of the user who created the feature |
|
| updated_by | int64 | Identifier of the user who updated the feature |
|
| created_at | google.protobuf.Timestamp | Timestamp for creation and update |
|
| updated_at | google.protobuf.Timestamp |
|
|
| organism | Organism |
|
|
| is_obsolete | bool | Toggle the obsolete status |
|
| parents | FeatureRelationship | repeated | List of biological parent features |
| children | FeatureRelationship | repeated | List of biological children feature |
| location | FeatureLocation | repeated | List of feature locations in the reference backend |
| synonyms | string | repeated | Alternate list of names |
| publications | Publication | repeated |
|
| is_analysis | bool | Indicates if the feature is generated(annotated) from the result of an automated analysis |
|
| version | int64 | Version of this feature, it increase by 1 for the replacement |
|
| dbxrefs | Dbxref | repeated | Earlier instance of the feature that this one has replaced |
| Field | Validations |
| created_by |
|
| updated_by |
|
| created_at |
|
| updated_at |
|
| version |
|
List of features
| Field | Type | Label | Description |
| data | FeatureData | repeated |
|
Definition for connecting two biologically related(parent or
children) features
| Field | Type | Label | Description |
| feature_id | string |
|
|
| relationship | FeatureRelationship |
|
| Field | Type | Label | Description |
| type | string | The biological type of feature, generally a sequence ontology term |
|
| id | string | Unique id |
|
| attributes | FeatureAttributes |
|
Definition for managing dbxref with a feature
| Field | Type | Label | Description |
| feature_id | string |
|
|
| dbxref | Dbxref |
|
Definition for managing a previous or next feature in the feature
history
| Field | Type | Label | Description |
| feature_id | string |
|
|
| linked_feature | string |
|
| Field | Type | Label | Description |
| id | string | Unique feature identifier |
The location of a feature relative to another feature using space-based(interbase) coordinates.
| Field | Type | Label | Description |
| source_feature_id | string | Source or reference feature(identifier) which this location is relative to |
|
| start | int64 | start/leftmost boundary of this location in linear range based on interbase coordinates. To convert it to base-oriented system, add 1 to this value. |
|
| end | int64 | End/rightmost boundary of this location in linear range based on interbase coordinates. No conversion is needed to convert it to a base oriented system. |
|
| strand | int64 | Orientation of this location, should be one of 0,1, or -1 |
|
| phase | int64 | Phase of translation with respect to source feature, should be one of 0,1,or 2. |
|
| residue | string | Alternate residues which differ from feature residues |
|
| group | int64 | Represents derivable extra location of a feature. The default value 0 is used for direct location. Any other derived location gets values greater than 0. For example, the position of an exon on a BAC and in a global chromosomal coordinates. |
|
| rank | int64 | Used for feature with multiple locations, 0 is used as default. For example, a blast HSP has two locations, one on the query and one on the subject. |
Definition for managing publication with a feature
| Field | Type | Label | Description |
| feature_id | string |
|
|
| publication | FeaturePublication |
|
| Field | Type | Label | Description |
| feature_id | string |
|
|
| relation | string | Type of relationship, generally a sequence ontology term |
Definition for a related feature
| Field | Type | Label | Description |
| relation | string | Type of relationship, generally a sequence ontology term |
|
| feature_id | string | Related feature id |
Defintion for managing synonym of a feature
| Field | Type | Label | Description |
| feature_id | string |
|
|
| synonym | string |
|
Definition for updating a feature
| Field | Type | Label | Description |
| data | FeatureUpdate.Data |
|
|
| update_mask | google.protobuf.FieldMask | An optional mask specifying which fields to update. Presence of this field allow partial updates. |
| Field | Type | Label | Description |
| type | string | The biological type of feature, generally a sequence ontology term |
|
| attributes | FeatureUpdateAttributes |
|
|
| id | string |
|
| Field | Validations |
| type |
|
| id |
|
Definition of feature fields for updating a feature
| Field | Type | Label | Description |
| name | string | Short human readable textual name |
|
| updated_by | int64 | Identifier of the user who updated the feature |
|
| dbxrefs | Dbxref | repeated |
|
| organism | Organism |
|
|
| parents | FeatureRelationship | repeated | List of biological parent features |
| children | FeatureRelationship | repeated | List of biological children feature |
| location | FeatureLocation | repeated |
|
| synonyms | string | repeated | aLTERNATe list of names |
| publications | Publication | repeated |
|
| is_analysis | bool | Indicates if the feature is generated(annotated) from the result of an automated analysis |
| Field | Validations |
| updated_by |
|
ListParameters defines fields for manipulating output of PaginatedFeatureCollection
| Field | Type | Label | Description |
| cursor | int64 | A unique pointer to the next set of result in the list |
|
| limit | int64 | Maximum number of records that can be fetch per request |
|
| filter | string | The `filter` field restricts the data return by the collection. To use it, supply one or multiple allowed fields to filter followed by a filter expression. It uses the following syntax... field_name operator value field_name - Any one of the allowed field name that are given below. * name - feature name (string). * type - The biological type of feature, generally a sequence ontology term (string) * species - Organism species (string) * genus - Organism genus (string) * strain - Strain name of the organism (string) * taxon_id - Taxon identifier (string) * obsolete - Live or retired feature (bool) * analysis - Feature as a result of analysis (bool) operator - Defines the type of filter match to use. It could be any of the following four and all of them should be URL-encoded for http request. == Equals (URL encoding is %3D%3D) != Not equals ~ Contains/matches substring (case insensitive) !~ Not contains substring (case insensitive) > Greater than < Less than =< Less than equal to >= Greater than equal to value - The value must be a string, a number or a boolean. URL-reserved characters must be URL-encoded for http request. filter: "name==pcA" filter: "name~scr" filter: "obsolete==true" Filter can be combined using OR or AND boolean logic. * The OR is represented using a comma(,). * The AND is represented using a semi-colon(;). * AND and OR operators can be combined and AND takes precedence over OR. filter: "name==pcA;obsolete==true;type=exon" filter: "name==transcription,name==gtx" The sort field allow to sort the data return by the collection based on allowed fields. To use it, supply a comma separated one or more allowed fields. |
| Field | Type | Label | Description |
| feature_id | string | unique id of the reference feature |
|
| type | string | The biological type of feature, generally a sequence ontology term. |
|
| filter | string | The `filter` field restricts no of features in the collection by using a combination of custom start and end coordinates of reference feature. To use it, supply the field name followed by the filter expression. It uses the following syntax... field_name operator value field_name - Any one of the allowed field name that are given below. * start - leftmost boundary of location (number). * end - rightmost boundary of location (number). operator - Defines the type of filter match to use. It could be any of the following and all of them should be URL-encoded for http request. > Greater than < Less than =< Less than equal to >= Greater than equal to value - The value must be a number here. If only one of the value is given, the coordinate of reference feature is for the other by default. URL-reserved characters must be URL-encoded for http request. filter: "start>=100" filter: "end<789" Filter can be combined using AND boolean logic. The AND is represented using a semi-colon(;). filter: "start>=89;end<=7430" |
Metadata definition for traversing the collection
| Field | Type | Label | Description |
| next_cursor | int64 | A unique pointer to the next set of result in the collection. Set the cursor value parameter to the value of next_cursor to retrieve the next set of collection using the same method |
|
| limit | int64 | Maximum number of records that can be fetch per request |
|
| total | int64 | Total number of records in the collection. |
Definition for creating new feature
| Field | Type | Label | Description |
| data | NewFeature.Data |
|
| Field | Type | Label | Description |
| type | string | The biological type of feature, generally a sequence ontology term |
|
| attributes | NewFeatureAttributes |
|
| Field | Validations |
| type |
|
Definition of various feature fields for creating new feature
| Field | Type | Label | Description |
| name | string | Short human readable textual name |
|
| created_by | int64 | Identifier of the user who created the feature |
|
| updated_by | int64 | Identifier of the user who updated the feature |
|
| dbxrefs | Dbxref | repeated |
|
| organism | Organism |
|
|
| is_obsolete | bool | Toggle the obsolete status |
|
| parents | FeatureRelationship | repeated | List of biological parent features |
| children | FeatureRelationship | repeated | List of biological children feature |
| location | FeatureLocation | repeated |
|
| synonyms | string | repeated | Alternate list of names |
| publications | Publication | repeated |
|
| is_analysis | bool | Indicates if the feature is generated(annotated) from the result of an automated analysis |
|
| version | int64 | Version of this feature, it increase by 1 for the replacement |
| Field | Validations |
| created_by |
|
| updated_by |
|
Definition for attaching a new location to a feature
| Field | Type | Label | Description |
| feature_id | string |
|
|
| location | FeatureLocation |
|
Defintion of an organism entry
| Field | Type | Label | Description |
| taxon_id | string | Taxon identifier |
|
| genus | string | Organism genus |
|
| species | string | Organism species |
|
| common_name | string |
|
|
| rank | string | Taxonomic rank |
|
| scientific_name | string | Scientific name |
|
| strain | string | Strain name |
List of features with pagination
| Field | Type | Label | Description |
| data | FeatureData | repeated |
|
| meta | Meta |
|
| Field | Validations |
| meta |
|
Container for linked publications
| Field | Type | Label | Description |
| publication_id | string | An identifier that refers to a publication |
|
| source | string | Source of this publication identifier |
| Field | Validations |
| source |
|
| Field | Type | Label | Description |
| feature_id | string |
|
|
| rank | int64 | Used for feature with multiple locations, 0 is used as default. |
The feature service specification
| Method Name | Request Type | Response Type | Description |
| GetFeature | FeatureId | Feature | Retrieves the specified feature |
| GetParents | FeatureRelationFilter | FeatureCollection | Retrieves all the biological parents features |
| GetChildren | FeatureRelationFilter | FeatureCollection | Retrieves all biological children features |
| GetReferenceFeature | ReferenceFeatureFilter | Feature | Retrieves the feature(called reference or source feature) under whose coordinate system the current feature is located. By default rank 0 is assumed |
| GetReferenceFeatures | FeatureId | FeatureCollection | Retrieves all reference features |
| GetLocatedFeatures | LocatedFeatureFilter | PaginatedFeatureCollection | Retrieves all features that are located within the bounds of referernce feature |
| ListFeatures | ListParameters | PaginatedFeatureCollection | Retrieves all features |
| CreateFeature | NewFeature | Feature | Create a new feature |
| UpdateFeature | FeatureUpdate | Feature | Update an existing feature |
| AddParentalRelationship | FeatureConnection | Feature | Add a new parental relation with an existing feature. In case of an existing parent(s), it will be appended to the list. |
| AddChildRelationship | FeatureConnection | Feature | Add a new child relation with an existing feature. In case of an existing child, it will be appended to the list. |
| AttachLocation | NewFeatureLocation | Feature | Attach a new location entry to connect to a referernce feature. In case of any existing location(s), it will be appended to the list. The reference feature referred in the location needs to exist. |
| AddSynonym | FeatureSynonym | Feature | Add a new synonym.In case of existing synonym(s), it will be appended to the list |
| AddPublication | FeaturePublication | Feature | Add a new publication.In case of existing publication(s), it will append it to the list |
| SetPrevFeatureHistory | FeatureHistory | Feature | Sets the previous feature in the feature history. |
| SetNextFeatureHistory | FeatureHistory | Feature | Sets the next feature in the feature history. |
| AddDbxref | FeatureDbxref | Feature | Add a new dbxref. In case of existing dbxref it will append it to the list. |
| CreateOrganism | Organism | Organism | Create a new organism entry |
| DeleteFeature | FeatureId | .google.protobuf.Empty | Delete an existing feature |
| DeleteParentalRelationship | FeatureConnection | .google.protobuf.Empty | Delete a parental relationship with a feature |
| DeleteChildRelationship | FeatureConnection | .google.protobuf.Empty | Delete a child relationship with a feature |
| DetachLocation | ReferenceFeatureFilter | .google.protobuf.Empty | Detach an existing location from reference feature |
| DeleteSynonym | FeatureSynonym | .google.protobuf.Empty | Delete a synonym from the feature. |
| DeletePublication | FeaturePublication | .google.protobuf.Empty | Delete a publication from the feature. |
| RemovePrevFeatureHistory | FeatureHistory | .google.protobuf.Empty | Remove the previous feature from the feature history. |
| RemoveNextFeatureHistory | FeatureHistory | .google.protobuf.Empty | Remove the next feature from the feature history. |
| DeleteDbxref | FeatureDbxref | .google.protobuf.Empty | Delete dbxref from a feature. |
| .proto Type | Notes | C++ Type | Java Type | Python Type |
| double | double | double | float | |
| float | float | float | float | |
| int32 | Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead. | int32 | int | int |
| int64 | Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead. | int64 | long | int/long |
| uint32 | Uses variable-length encoding. | uint32 | int | int/long |
| uint64 | Uses variable-length encoding. | uint64 | long | int/long |
| sint32 | Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s. | int32 | int | int |
| sint64 | Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s. | int64 | long | int/long |
| fixed32 | Always four bytes. More efficient than uint32 if values are often greater than 2^28. | uint32 | int | int |
| fixed64 | Always eight bytes. More efficient than uint64 if values are often greater than 2^56. | uint64 | long | int/long |
| sfixed32 | Always four bytes. | int32 | int | int |
| sfixed64 | Always eight bytes. | int64 | long | int/long |
| bool | bool | boolean | boolean | |
| string | A string must always contain UTF-8 encoded or 7-bit ASCII text. | string | String | str/unicode |
| bytes | May contain any arbitrary sequence of bytes. | string | ByteString | str |


Pricing
Start with a free trial account
You can test the platform for up to three months, with no obligations to pay anything while you decide whether GOV.UK PaaS is for you. You’ll get to use trial-sized editions of most of our backing services.
Move to a full account with no long-term contract
During the trial period you can switch to a full paid account any time and get to use all of the functionality of the PaaS.

The monthly charges will be based on your usage.
Costs and benefits of a PaaS
If you’re evaluating cloud hosting, you’ll find that the costs of a PaaS are higher than a traditional IaaS solution. This is also true for GOV.UK PaaS.
In order to compare the two, you need to consider the effort and time required by your team to manage and run the environments, like patching operating systems, managing backups, maintaining logging stacks, monitoring the infrastructure and reprovisioning your apps.
Our pricing in practice
See some example pricing scales below
Example 1:
microsite for arms-length body
Two instances of your application, with a small highly-available Postgres database and a basic-level support.
| Component | Cost per month |
|---|---|
| Compute and database | £117 |
| Support | £125 |
| Total | £242 |
Example 2:
small transactional service during development
Three-application service (for instance public, operator, admin apps), with small Postgres database. Demo and dev environments, with developers experimenting with Elasticsearch, Redis, Mongo and RabbitMQ. Also a space for user research prototypes. Basic paid support.
| Component | Cost per month |
|---|---|
| Compute - 8 prototypes | £29 |
| Compute, DB and services - demo | £117 |
| Compute, DB and services - dev | £247 |
| Support | £125 |
| Total | £518 |
Example 3:
100K transaction/year service in production with active development
Three-application service with two load-balanced instances each, supported by a medium highly-available Postgres database, Redis cache to improve performance, Elasticsearch and 7d logging. Staging environment; smaller integration instance. 24/7 incident support.
| Component | Cost per month |
|---|---|
| Compute, DB and services - production | £607 |
| Compute, DB and services - staging | £416 |
| Compute, DB and services - integration | £330 |
| Support | £541 |
| Total | £1,894 |
Service team support plans
While we’re responsible for the overall health of the platform, your service might need help using the PaaS, and support for specific issues caused by the platform to your app.
There is a minimum monthly fee that depends on whether support is needed 24/7 or just during office hours, and the final cost is calculated on how many apps, instances and backing services you are using. We won’t charge users in trial mode for support, however resolution times will depend on best endeavours. You remain responsible for product and end user support.
| Support Tier | Support Offered | Timescales | Support charge | Minimum monthly charge |
|---|---|---|---|---|
| Trial | Ad hoc | Best endeavours | N/A | N/A |
| Daytime | Daytime support from the PaaS team. Mon-Fri 9.30am-5.30pm | Daytime response and resolution targets | +20% of the overall cost | £125 |
| 24/7 | As above, plus 24/7 incident support; penetration tests allowed | As above, plus night-time response and resolution targets, per SLAs | +55% of the overall cost | £500 |
Contact<EMAIL_ADDRESS>if you want to discuss bespoke support for your service.
Use our cost calculator to get estimate costs for your service using GOV.UK PaaS


This was my first experience with salvia. I didn't really know what to expect because I had never heard much about it, just that it was a short, intense trip. I found it to be much more than that. I was in Vienna, Austria in a hotel with some friends. One bud bought some at a head shop and asked if I wanted in. Not knowing what to expect, I went for it. I had two trips that night, the second one the most intense.
About 30 seconds after my first big hit, I totally forgot where I was, who I was, how I got there, and even that I had just taken a hit of salvia. It was the most 'present' experience I’ve ever felt. I felt myself vibrating and saw the walls continue endlessly in all directions. I was part of these patterns. It was my first time so I couldn't make a whole lot of sense out of it, so that was about all I can verbalize.
Thirty minutes later, after we were reminiscing, my friend smiled and says 'You wanna take another hit?'. Not realizing the gravity of the drug, I went for it. One more hit, 30 seconds later. Patterns again began to form, but I was not on earth. I was in a vast world of whiteness where the only visual matter were 3d sentences. The sentences were all being said by a higher being, and all the people that were in the room with me including myself (and my mother for some odd reason) became patterns that formed the sentences visually. The sentences kept floating off into space kind of like the opening of star wars and all I could hear was a terrifying laugh, never stopping. It was as if the higher being was laughing at earth in all its complexity ironically contrasting the simplicity of the world salvia took me to. Just as I realized that I was part of the sentences and felt myself being pulled away into the nothingness, fearing death, I slowly came back to earth.
For the next hour I felt distant from the complexities of earth and its people. My vision made it all seem meaningless, I felt as if I’d been shown an extremely disappointing afterlife. I wrote three pages of poems and lyrics in my journal during the aftermath of my trip.
I have yet to determine what lesson about life or anything can be formed from my salvia experience, but these are all thoughts that will not leave my mind for many years, if ever.
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.


To see the output of this example, open your browser's javascript console.
In this example, create a worker from an anonymous function. Pretty straight forward.


{include file="public/top"/}
{include file="public/search"/}
{include file="public/nav"/}
{__CONTENT__}
{include file="public/bottom"/}


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A small, quiet town at the northern end of Kotorski Zaijev in the Gulf of Kotor. Worth visiting to see the Roman mosaics close to the harbour.
Position 42° 30'48"N, 18° 41'33"E.
Berth in the harbour, which lies in front of the gardens. Depending on the wind direction, berth where possible on either side near the entrance as it shallows further in.
It is possible to anchor outside in 6 to 8m, but the bottom is very soft mud and the anchor may not hold..
Last updated January 2016.


|
Files | |
| file | LEGOLS-driver.h |
Lego Light Sensor driver. | |
Defines | |
| #define | LEGOLSDAT "legols.dat" |
Functions | |
| int | LSvalRaw (tSensors link) |
| int | LSvalNorm (tSensors link) |
| void | LScalLow (tSensors link) |
| void | LScalHigh (tSensors link) |
| void | LSsetActive (tSensors link) |
| void | LSsetInactive (tSensors link) |
| int | LSvalNorm (tMUXSensor muxsensor) |
| void | LScalLow (tMUXSensor muxsensor) |
| int | LSvalRaw (tMUXSensor muxsensor) |
| void | LScalHigh (tMUXSensor muxsensor) |
| void | LSsetActive (tMUXSensor muxsensor) |
| void | LSsetInactive (tMUXSensor muxsensor) |
| void | _LScheckSensor (tSensors link) |
| void | _LSwriteCalVals () |
| void | _LSreadCalVals () |
Variables | |
| int | lslow [16] |
| int | lshigh [16] |
| bool | legols_calibrated = false |
Light Sensor
| #define LEGOLSDAT "legols.dat" |
Datafile for Light Sensor calibration info
Definition at line 41 of file LEGOLS-driver.h.
| void _LScheckSensor | ( | tSensors | link ) |
Check if the sensor is set to raw and that it's been configured as a LightActive or Inactive sensor. If not, set the default to sensorLightInActive.
Note: this is an internal function and should not be called directly
| link | the Light Sensor port number |
Definition at line 244 of file LEGOLS-driver.h.
| void _LSreadCalVals | ( | ) |
Read the low and high calibration values from a data file.
Note: this is an internal function and should not be called directly
Definition at line 321 of file LEGOLS-driver.h.
| void _LSwriteCalVals | ( | ) |
Write the low and high calibration values to a data file.
Note: this is an internal function and should not be called directly
Definition at line 258 of file LEGOLS-driver.h.
| void LScalHigh | ( | tMUXSensor | muxsensor ) |
Calibrate the Light Sensor's high calibration value with the current raw sensor reading.
| muxsensor | the SMUX sensor port number |
Definition at line 186 of file LEGOLS-driver.h.
| void LScalHigh | ( | tSensors | link ) |
Calibrate the Light Sensor's high calibration value with the current raw sensor reading.
| link | the Light Sensor port number |
Definition at line 173 of file LEGOLS-driver.h.
| void LScalLow | ( | tMUXSensor | muxsensor ) |
Calibrate the Light Sensor's low calibration value with the current raw sensor reading.
| muxsensor | the SMUX sensor port number |
Definition at line 162 of file LEGOLS-driver.h.
| void LScalLow | ( | tSensors | link ) |
Calibrate the Light Sensor's low calibration value with the current raw sensor reading.
| link | the Light Sensor port number |
Definition at line 149 of file LEGOLS-driver.h.
| void LSsetActive | ( | tSensors | link ) |
Configure the sensor as a LightActive sensor
| link | the Light Sensor port number |
Definition at line 197 of file LEGOLS-driver.h.
| void LSsetActive | ( | tMUXSensor | muxsensor ) |
Configure the sensor as a LightActive sensor
| muxsensor | the SMUX sensor port number |
Definition at line 209 of file LEGOLS-driver.h.
| void LSsetInactive | ( | tMUXSensor | muxsensor ) |
Configure the sensor as a LightInactive sensor
| muxsensor | the SMUX sensor port number |
Definition at line 231 of file LEGOLS-driver.h.
| void LSsetInactive | ( | tSensors | link ) |
Configure the sensor as a LightInactive sensor
| link | the Light Sensor port number |
Definition at line 219 of file LEGOLS-driver.h.
| int LSvalNorm | ( | tMUXSensor | muxsensor ) |
Read the normalised value of the Light Sensor, based on the low and high values.
| muxsensor | the SMUX sensor port number |
Definition at line 127 of file LEGOLS-driver.h.
| int LSvalNorm | ( | tSensors | link ) |
Read the normalised value of the Light Sensor, based on the low and high values.
| link | the Light Sensor port number |
Definition at line 101 of file LEGOLS-driver.h.
| int LSvalRaw | ( | tSensors | link ) |
Read the raw value of the Light Sensor.
| link | the Light Sensor port number |
Definition at line 78 of file LEGOLS-driver.h.
| int LSvalRaw | ( | tMUXSensor | muxsensor ) |
Read the raw value of the Light Sensor.
| muxsensor | the SMUX sensor port number |
Definition at line 91 of file LEGOLS-driver.h.
| bool legols_calibrated = false |
Has the sensor been calibrated yet
Definition at line 49 of file LEGOLS-driver.h.
| int lshigh[16] |
Definition at line 44 of file LEGOLS-driver.h.
| int lslow[16] |
Definition at line 43 of file LEGOLS-driver.h.


material conveyor gate blending sliding screen swing crusher figref[FIG. section assembly scalping shown folding output feeder present cone chute common document-id:: height air view invention rock trailer supply suspension citation: cited EMI-D [patcit]: flow provides secondary applicant control feed hydraulic line crushing end perspective various aggregate deck forward independent plate coupled fixed processing provide referring cylinder valve component quick said directing discharge figref[FIGS. input position. embodiment, fines intake jack adjustable bifurcatable disposed hopper lines plurality surge used connect conveyors deck, linkage second similar understood action-date: backward generating-office:: lower mobile power transfer Classification: al. arm bypass central components intermediate invention. location point portion reduced shows structure Folding [addressbook]: apparatus bin building deployed finish head machines modular overs position receiving road screens transport use (at (which Sliding backflow chassis configured entry exit flows function intended invention, middle operating opposing pivotally plant removed screening setup vertical wings Material ability and/or conveyors. coupler crusher, dashed directed elevation inter-plant inter-section limit materials points portions provided rear screen, stockpile tertiary variably additional axle better cam/arch capable classification-national:: components. configuration contains cpc-version-indicator:: different embodiment etc. finishing heights i.e., includes ipc-version-indicator:: like link mid mini multiple overall predetermined pressure process results reveal screens, single slide tail therein. thereon time trailers (figref[FIG. Brock Note Quinn allows attached blended buffering cam chassis. combination combined comprises conveyors, crushers delivers diagram direct direction entire examiner exiting exposed features footprint form forward, frame fully gates having include jaw located main manual merely movement overs. pin pneumatic represent reservoir screen. setting. sharing small source space stockpiling stowable stowed substantial system, systems terms thereof weight


{% extends 'base.html' %} {% block title %}Email Verfied-Incognito {% endblock %} {% block body %}
Your Email Verification is successfully complated. You can log in now on the log in page.


Checks for various problems in Struts Validator configuration files.
- References to form beans with undefined types
- References to form beans with types not derived from proper classes
- References to actions without associated form bean (missing name parameter)


Images Panel
- This panel lists images that are linked to the project.
- Only linked images can be marked
- Green dot: image is correctly located in project folder
- Double-click an image name to open it
- Drag a file into the "Images" area to link it
- Unlinking an image also deletes objects it owns
- Object numbers are contiguous
- Stack size shows hyperstack stucture [channels, slices, frames]


This game was written in BASIC, and then converted to JavaScript using an automatic converter. See the original BASIC source code, or see the generated JavaScript source code.


Romo.UI.Avatar system tests
No image, no name, no custom abbrev
No image, no name, just custom abbrev
No image, with name, with custom abbrev
With image, with name, with custom abbrev
With bad image, with fallback image
Standard name -> abbrev
lowercase name -> abbrev
Long name -> abbrev
Long name hyphenated -> abbrev
Long name hyphenated -> abbrev


“Barefoot” was a collaboration headed by Anna Hanson from the University of Minnesota/Guthrie Theater Actor training program. As a lighting designer I participated in the initial collaboration fully immersing myself into the process. Once a script and locations formed I began to solidify how I wanted to use light to amplify the themes explored by the actors and musicians.I organized and set up all the lighting equipment and constructed the different lighting looks for the major scenes. Through further rehearsal we came up with the timing of the lighting cues.
This is a scene of birth. The intense blue represents water. It is tightly focused on the actor simulating a sort of womb she will come out of.
The green announces the arrival of other lifeforms into the narrative.
This is a snapshot of a volatile scene between these two characters in the desert. The light is harsh and physically warms the small room, heightening the effect of the violent words and actions of the actors.
One of the final scenes ends the life cycle with a being of song walking away and taking life with her as the sun sets. The light focuses on her but dims as her song leaves. The long shadows of the actors creates and somber feeling which culminates in total darkness.


Big Fat Quiz of Maja
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G
+gui
GUI component base class. See
+field
,
+Button
,
+Img
and
+JsField
.
+GoButton
A button used to scroll charts. A +GoButton moves to a given position. See also
chart
,
+Tiny
,
+Rid
,
+JS
,
+Able
+UpButton
,
+DnButton
and
+Button
.


An optimisation tool for sorting people into equitable groups.
When you upload a file to us, we save it to our server. When you click optimise, we create and run the model. Once we have the solution, we delete the original copy of your data and make a results file for you to download. If you don't click optimise the original copy gets deleted after 1 hour. The results copy sits on our server until either you download it, or 1 hour has passed.
We couldn't solve the model. Are you sure your data is in the correct format?


Tianyi Li
Info
| Degree | Ph.D Student | Date of Enrollment | 2017 |
|<EMAIL_ADDRESS>| (+86) 130-7011-0005 | ||
| Interest Fields | Video Coding, Image Quality Assessment, Deep Learning | ||
| Address | MC2 Lab, Beihang University |
Tianyi Li (S'17) received the B.S. degree in the electrical enginneering from Beihang University in 2017. He is currently working towards the doctor's degree. Mr Li received the National Scholarship from the MOE of China, and the Outstanding Guaduate Student Award of Beijing.
His Publications
-
Tianyi Li, Mai Xu, Ce Zhu, Ren Yang, Zulin Wang and Zhenyu Guan, "A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC," in IEEE Transactions on Image Processing, 2019.
| Download PDF | Download Database | -
Tianyi Li, Mai Xu, Ren Yang and Xiaoming Tao, "A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC," in Data Compression Conference (DCC), 2019.
| Download PDF | Download Database | -
Mai Xu*; Tianyi Li; Zulin Wang; Xin Deng; Ren Yang; Zhenyu Guan, Reducing Complexity of HEVC: A Deep Learning Approach, IEEE Transactions on Image Processing, 2018.
| Download PDF | Download Database | Download Code | -
Tianyi Li, Mai Xu, and Xin Deng. "A deep convolutional neural network approach for complexity reduction on intra-mode HEVC." In 2017 IEEE International Conference on Multimedia and Expo (ICME), pp. 1255-1260. IEEE, 2017.
| Download PDF | Download Database |


1 Angular
2 React
3 Many thanks to the open source community, contributors are welcome from all over. More things to be
discovered and curated from Debian unstable repo. It about patience and perseverance we will make a
good out of it.
4 Vue
5 Bootstrap
6 Materialize
7 Passport.JS
8 Maria9.org
9 Git


PONETTE (Arrow) Starring: Victoire Thivisol, Delphine Schiltz, Matiaz Bureau Caton, Xavier Beauvois, Claire Nebout. Screenplay: Jacques Doillon. Producer: Alain Sarde. Director: Jacques Doillon. MPAA Rating: None (could be PG for some adult content) Running Time: 92 minutes. Reviewed by Scott Renshaw.
When people learn in social settings that I am a film critic, two inevitable questions arise. The first -- "So what's good?" -- is always a pleasure to answer; in fact, telling people what's good is the purest pleasure in this job. Unfortunately, many of my recommendations are unfamiliar to casual movie-goers, which begs the second, more aggravating question: "So what's it about?" It seems simple enough, a harmless request for a thumbnail sketch of the plot, but it also asks one to strip a film down to the single sentence you might find in a "TV Guide" summary.
If someone asked me what PONETTE was about, I'd grit my teeth and say that the plot set-up concerns a 4-year-old French girl (Victoire Thivisol) coping with her mother's tragic death in a car accident. I would then refuse to let the individual walk away until I explained that PONETTE isn't really "about" a grieving little girl, that it's not the maudlin drama full of teary-eyed waifs that such a hopelessly under-descriptive synopsis might portend. At turns genuinely touching and delightfully amusing, PONETTE is really about that point in childhood where every question has a hundred different answers.
Little Ponette's question seems to her to be a very straightforward one -- she simply wants to know how she can talk to her mother again. The problem is that every single person she encounters approaches that question in a different way. Ponette's Aunt Claire (Claire Nebout) tells her about Jesus' resurrection and subsequent appearance to the disciples waiting for him, leading Ponette to the logical conclusion that her mother could also return from the dead if someone were waiting for her. Her young cousins Matiaz and Delphine (Matiaz Bureau Caton and Delphine Schiltz) suggest the use of a magic word; a young classmate named Ada (Leopoldine Serre), a self-proclaimed "child of God," offers to put Ponette through several trials so that she too can speak to God and ask for an intercession; Ponette's father (Xavier Beauvois) discourages all thoughts of religion and tries to make her cope with the real world. Overwhelmed by a dizzying range of possibilities, Ponette does what any reasonable 4-year-old would do: she tries all of them, then finds her grief deepening when nothing seems to work.
The truth writer/director Jacques Doillon mines is that, between the well-intentioned happy talk and half-truths of adults and the ill-informed "facts" of peers, it's a wonder that children learn anything about life's complicated questions. In one hilarious scene, Delphine explains to Matiaz the difference between Catholics and Jews (including the little-knows fact that Arabs are actually Catholics, because they too are "not Jews"), while another scene captures two girls struggling to understand what it means when a person is "single." Childhood at this age may never have been portrayed with more grace, humor or startling realism, from the spectacular performances of the young actors (none better than the mesmerizing Thivisol) to Doillon's plucked-from-preschool script.
Doillon's insights are so honest for so long that his conclusion, involving a supernatural visitation, comes as a real disappointment. It's too obvious and too pedantic a resolution to a film which is built around the absence of easy answers. The beauty of PONETTE comes from watching a child who is just coming to understand the basic truths of the world struggle with the ambiguities of life, death and God. There are no simple questions in PONETTE, no even a question so apparently simple as, "So what's it about?"
On the Renshaw scale of 0 to 10 pre-school dazes: 8.
Visit Scott Renshaw's MoviePage http://www.inconnect.com/~renshaw/ *** Subscribe to receive new reviews directly by email! See the MoviePage for details, or reply to this message with subject line "Subscribe".
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class: center, middle, inverse, title-slide # Data Science for Economists ## Lecture 3: Learning to love the shell ### Grant McDermott ### University of Oregon |
EC 607


public class CompositeKey
A tree data structure that enables the representation of composite public keys.
In the simplest case it may just contain a single node encapsulating a PublicKey – a class CompositeKey.Leaf
.
For more complex scenarios, such as "Both Alice and Bob need to sign to consume a state S", we can represent
the requirement by creating a tree with a root class CompositeKey.Node
, and Alice and Bob as children – class CompositeKey.Leaf
s.
The root node would specify weights for each of its children and a threshold – the minimum total weight required
(e.g. the minimum number of child signatures required) to satisfy the tree signature requirement.
Using these constructs we can express e.g. 1 of N (OR) or N of N (AND) signature requirements. By nesting we can create multi-level requirements such as "either the CEO or 3 of 5 of his assistants need to sign".
| Modifier and Type | Class and Description |
|---|---|
static class |
CompositeKey.Builder
A helper class for building a
class CompositeKey.Node . |
static class |
CompositeKey.Companion |
static class |
CompositeKey.Leaf
The leaf node of the tree – a wrapper around a PublicKey primitive
|
static class |
CompositeKey.Node
Represents a node in the key tree. It maintains a list of child nodes – sub-trees, and associated
weights carried by child node signatures.
|
| Modifier and Type | Field and Description |
|---|---|
static CompositeKey.Companion |
Companion |
| Modifier and Type | Method and Description |
|---|---|
boolean |
containsAny(java.lang.Iterable<? extends java.security.PublicKey> otherKeys)
Checks whether any of the given keys matches a leaf on the tree
|
java.util.Set<java.security.PublicKey> |
getKeys()
Returns all PublicKeys contained within the tree leaves
|
java.security.PublicKey |
getSingleKey()
Returns the enclosed PublicKey for a
class CompositeKey with a single leaf node |
boolean |
isFulfilledBy(java.lang.Iterable<? extends java.security.PublicKey> keys)
Checks whether keys match a sufficient amount of leaf nodes
|
boolean |
isFulfilledBy(java.security.PublicKey key) |
java.lang.String |
toBase58String()
This is generated by serializing the composite key with Kryo, and encoding the resulting bytes in base58.
A custom serialization format is being used.
|
public static CompositeKey.Companion Companion
public boolean isFulfilledBy(java.lang.Iterable<? extends java.security.PublicKey> keys)
Checks whether keys match a sufficient amount of leaf nodes
public boolean isFulfilledBy(java.security.PublicKey key)
public java.util.Set<java.security.PublicKey> getKeys()
Returns all PublicKeys contained within the tree leaves
public boolean containsAny(java.lang.Iterable<? extends java.security.PublicKey> otherKeys)
Checks whether any of the given keys matches a leaf on the tree
public java.lang.String toBase58String()
This is generated by serializing the composite key with Kryo, and encoding the resulting bytes in base58. A custom serialization format is being used.
TODO: follow the crypto-conditions ASN.1 spec, some changes are needed to be compatible with the condition structure, e.g. mapping a PublicKey to a condition with the specific feature (ED25519).
public java.security.PublicKey getSingleKey()
Returns the enclosed PublicKey for a class CompositeKey
with a single leaf node
class CompositeKey
contains more than one nodeclass CompositeKey


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[end] [include "nav.html"]