Large Projects
{% for board in large_boards %}
{% include "includes/board.html" %}
{% endfor %}
Medium Projects
{% for board in medium_boards %}
{% include "includes/board.html" %}
{% endfor %}
Small Projects
{% for board in small_boards %}
{% include "includes/board.html" %}
{% endfor %}


Welsh FA outraged as UEFA translator asks "Who is Gareth Bale?"
by BeSoccerTrouble at the Welsh national team press conference before the clash with Azerbaijan. A person hired by UEFA to translate the words of Ryan Giggs into Azeri was not very aware of who were the Welsh national team players... not even Gareth Bale!
The pre-Azerbaijan-Wales press conference in Baku was surprising, to say the least. Not only did Gareth Bale leave Real Madrid fans speechless by saying he preferred to play for his country than in white, but there was also much more.
During Wales coach Ryan Giggs' turn, things did not get off to a good start. The translator kept talking as the legendary ex-player tried to answer questions and things went from bad to worse when the translator, hired by UEFA for the event, asked the coach about his big star.
"Who's Gareth Bale?," the translator whispered to a visibly frustrated Ryan Giggs, who finished the press conference as best he could all while looking very angry.
Featured links
- Ballon d'Or winner already been decided
- The latest football transfers news and rumours
- Possible 'Clasico' in the Spanish Supercup final
- Who has the most free-kicks goals: Messi or Cristiano?
After the team's coach appeared, the Welsh Federation asked UEFA to replace the translator... and did so when the Real Madrid player was already answering questions.
The surrealism was such that even Bale, always so measured, dedicated a few words to her: "You're a little late".
Curiously, this is not the only mess at a Welsh press conference. In Cardiff's clash with Croatia, the Croatian to English translator disappointed and even the Croatian Federation ended up firing him live.


Changelog
-
Initial PushFYI Release
-
Release version 1.4
- Bug fixes and Performance improvements
- Heartbeat Signaling Issue Fixed
-
Release version 1.3
- Python API
- Support TLS 1.0, TLS 1.1 and TLS 1.2
- Bug fixes and Performance improvements
- Interface Changes
-
Release version 1.2
- iOS API
- Bug fixes and Performance improvements
- Interface Changes


Canada's labor ministry urges CN rail, union officials to keep talking
OTTAWA, Nov 20 (Reuters) - Canada's Labour Minister Patty Hajdu urged Canadian National Railway Co. and union officials to keep talking on Wednesday as a strike at the country's largest railway entered its second day.
In a statement, the minister's spokeswoman said the federal government understood the importance of the rail industry to Western Canada and believed in the collective bargaining process.
(Reporting by Kelsey Johnson)
© Copyright Thomson Reuters 2019. Click For Restrictions - http://about.reuters.com/fulllegal.asp


Functions from the Scores Module.
More...
Functions from the Scores Module.
◆ drawDigits()
| void drawDigits |
( |
int |
value, |
|
|
int |
h, |
|
|
int |
v, |
|
|
int |
n |
|
) |
| |
Draw Digits on Screen.
- Parameters
-
| value | to be parsed and drawn on screen |
| h | X position for the first digit |
| v | Y position for the first digit |
| n | number of digits |
◆ readScores()
Read Scores from File.
- Returns
- Return OK upon success and NOT_OK otherwise
◆ ScoreKbdEventHandler()
| void ScoreKbdEventHandler |
( |
| ) |
|
Event Handler for Keyboard on Score State.
◆ ScoreMouseEventHandler()
| void ScoreMouseEventHandler |
( |
struct packet |
p | ) |
|
Event Handler for Mouse on Score.
- Parameters
-
| p | Mouse packet to be parsed |
◆ ScoresDrawInterface()
| void ScoresDrawInterface |
( |
| ) |
|
◆ updateScores()
Update Scores from Current Score.
◆ writeScores()
Write Scores to File.
- Returns
- Return OK upon success and NOT_OK otherwise


Employee Detail
Name
Gender
City
Salary
Add Employee
Update
{{ employee.name }}
{{ employee.gender }}
{{ employee.city }}
{{ employee.salary }}
Delete
Edit


5.1 Basic Plots in R
5.1.1 Scatter Plot
- One of the most popular and most frequently used functions to build a new plot in R is the \(\mathtt{plot}\) function.
- Plot is a high level generic graphic function which depends on the class of the first argument (usually the data object). For example if the first argument is of the class zoo which is a timeseries object the \(\mathtt{plot}\) function will call \(\mathtt{plot.zoo}\) from the R package zoo. This time series plot can be a single timeseries line plot or multiple time series stacked plot.
# Generate two random normal vectors
x = rnorm(100)
y = rnorm(100)
# plot x and y using the plot() function
plot(x, y)
- There are various other arguments which can be modified to change the overall presentation of the plot and even the type of plot.
function (x, y = NULL, type = "p", xlim = NULL, ylim = NULL,
log = "", main = NULL, sub = NULL, xlab = NULL, ylab = NULL,
ann = par("ann"), axes = TRUE, frame.plot = axes, panel.first = NULL,
panel.last = NULL, asp = NA, xgap.axis = NA, ygap.axis = NA,
...)
NULL
- The following example uses the argument \(\mathtt{main}\) in the \(\mathtt{plot}\) function to include a title on the plot along with axis tiles using the arguments \(\mathtt{xlab}\) and \(\mathtt{ylab}\).
5.1.2 Line Plot
- The following example demonstrates how to create a line plot using Microsoft prices given in the data file \(\mathtt{data\_fin.RData}\).
# change the working directory to the folder containing data_fin.csv or provide
# the full path with the filename
load("data/data_fin.RData")
# column names
colnames(FinData)
[1] "Date" "DJI" "AXP" "MMM" "ATT" "BA" "CAT" "CISCO" "DD"
[10] "XOM" "GE" "GS" "HD" "IBM" "INTC" "JNJ" "JPM" "MRK"
[19] "MCD" "MSFT" "NKE"
# plot a line plot for Dow Jones stock index prices
plot(FinData$MSFT, type = "l", main = "Microsoft Prices", ylab = "Prices")
- Plotting it as Time Series data
- Various R packages provide functionality to plot specific data types. For example, \(\mathtt{zoo}\) can be used to plot time series data.
library(zoo)
# convert data to class zoo
FinData.ts = zoo(FinData[, 2:5], order.by = FinData$Date)
# plot multiple stacked plot
plot(FinData.ts, col = gray.colors(4)) #figure-4
5.1.3 Bar Plot
- The function \(\mathtt{barplot}\) creates bar graphs in R.
- The main data argument in this function is \(\mathtt{height}\) which can be a vector or a matrix of values describing the bars which make up the plot. If \(\mathtt{height}\)is a matrix the bar graph can be a stacked graph or a juxtaposed graph with \(\mathtt{besides=TRUE}\)
load("data/GDP_Yearly.RData")
par1 = par()
par(ask = F)
barplot(height = GDP$Australia, names.arg = GDP$Year, ylab = "GDP Per Capita") #figure-5
It is also possible to create a yearly vertical stacked or yearly horizontal grouped bar plot for the GDP data.
The data has to be first converted into a matrix to create stacked or grouped barplots.
In this example the argument \(\mathtt{legend}\) specifies the names (Years) to appear in the legend and the argument \(\mathtt{args.legend}\) specifies the position (x=”top”), alignment (horiz=TRUE) and distance from the margin (inset=-0.1).
# convert data to matrix
data = as.matrix(GDP[, 2:12])
# create row names
rownames(data) = GDP$Year
# plot a stacked bar plot with legend showing the years
barplot(height = data[1:5, ], beside = FALSE, col = rainbow(5), legend = rownames(data[1:5,
]), args.legend = list(x = "top", horiz = TRUE, inset = -0.1), cex.names = 0.6)
5.1.4 Pie Chart
- R provides the function \(\mathtt{pie}\) to create pie graphs. \(\mathtt{labels}\) in 5.7
5.1.5 Scatter Plot
- The basic \(\mathtt{plot}\) function plots a scatter plot for bivariate or univariate data. It is also possible to create a scatterplot for multivariate data using the \(\mathtt{pairs}\) function.
- A subset can also be selected using formula method, for example the following R code will generate a scatterplot with only Australia, UK and USA.


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How to Season Cast Iron Cookware: 8 steps (with pictures)
Nov 16, 2012 . How to Season Cast Iron Cookware. Cast iron is much beloved by serious chefs, and lasts nearly forever if you take care of it. Seasoning cast .
http://www.wikihow.com/Season-Cast-Iron-Cookware
Treatment for Herniated or Bulging Discs
Seasoning cast iron cookware - Kitchen Emporium
Apr 12, 2012 . Seasoned Cast Iron can be considered the "grandfather" to today's "non-stick" cookware. Cast Iron Cookware must be seasoned properly and it .
http://www.kitchenemporium.com/Seasoning-Cast-Iron_b_33.html
How to Salvage and Season Cast Iron Cookware » Curbly | DIY ...
May 25, 2007 . Cast iron is incredible. It's like nature's non-stick surface. I have a 12 skillet, a round griddle for tortillas, and a large, rectangular griddle/grill .
http://www.curbly.com/users/chrisjob/posts/1673-how-to-salvage-and-season-cast-iron-cookware
how do you season iron cookware Herniated or Bulging Discs
Cast Iron Skillet: How to Season and Protect Your Cast Iron - YouTube
Nov 18, 2007 . I used vegetable oil when seasoning my new cast iron pan and the oil caked on to it. I can literally run my nail on it and scrub off the oil.
http://www.youtube.com/watch?v=THgcMtxecvE
Cast Iron Cookware Seasoning Care
The Iron Skillet http://www.castironcookware.com. What is seasoning? Seasoning is preparing the cast iron cookware for use. There are two objectives in this .
http://www.dutchovencookware.com/lodge-cookware.html
Cleaning and Seasoning a Cast-Iron Skillet | Real Simple
Seasoning. Traditional cast-iron skillets don't emerge from the box with a nonstick surface. That comes with seasoning, or coating the skillet with cooking oil and .
http://www.realsimple.com/food-recipes/cooking-tips-techniques/preparation/cleaning-seasoning-cast-iron-skillet-10000001178519/index.html
Official Impairment Listing for Spinal Disorders
How do I Season Iron Cookware?
New, unused iron cookware appears silvery gray in color. When you season iron, you force oil into the recesses of the metal, causing it to become darker and .
http://www.wisegeek.com/how-do-i-season-iron-cookware.htm
- howard stein tampa florida (narrowing of the spine)
Cast-iron cookware - Wikipedia, the free encyclopedia
Seasoning is a process by which a layer of animal fat or vegetable oil is applied and cooked onto cast iron or carbon steel cookware.
http://en.wikipedia.org/wiki/Cast-iron_cookwareVideo: How to Season Cast Iron - Allrecipes.com
Cast iron pans, pots, skillets, griddles, and Dutch ovens are practically indestructible. They can last for generations. The key to cast iron's longevity is seasoning.
http://allrecipes.com/video/28/how-to-season-cast-iron/
Seasoning (cookware) - Wikipedia, the free encyclopedia
Seasoning is desirable on cast-iron cookware and carbon steel cookware, because otherwise they are very sticky to foods and rust-prone. It is generally not .
http://en.wikipedia.org/wiki/Seasoning_(cookware)
How to Easily Season a Cast Iron Skillet | The Art of Manliness
Jun 25, 2012 . As I mentioned earlier, cast iron cookware is extremely versatile. This is good news, because the more you use it, the more slick with seasoning .
http://artofmanliness.com/2012/06/25/cast-iron-cooking/
Medical-Vocational Allowance for Herniated Disc
How To Season A Cast Iron Skillet | Southern Plate
Feb 5, 2009 . Seasoning is making your cast iron non-stick like all the new miracle cookware. And the why is you can buy and maintain a non-stick skillet with .
http://www.southernplate.com/2009/02/how-to-season-a-cast-iron-skillet.html
Chemistry of Cast Iron Seasoning: A Science-Based How-To
Jan 28, 2010 . The very first hit is a page written by a guy who seasons his cast iron cookware with linseed oil from the hardware store because it gives the .
http://sherylcanter.com/wordpress/2010/01/a-science-based-technique-for-seasoning-cast-iron/
Appealing a Denial of Benefits
Reconditioning & Seasoning Cast Iron Cookware
Reconditioning & Seasoning Cast Iron Cookware. CAUTION: Wear rubber gloves and eye protection while doing this!! Begin by spraying the pan with oven .
http://www.panman.com/cleaning.html
How To Season Cast Iron Cookware - Choosing Voluntary Simplicity
Reader question... "Last month I inherited a cast iron skillet from a great-aunt. My problem is, I don't know what to do with it. It looks like it's in pretty poor shape .
http://www.choosingvoluntarysimplicity.com/how-to-season-cast-iron-cookware/


--- layout: holding title: We're back! ---
Hackference 2015 was amazing, and we've decided to bring it back for 2016.
If you'd like to find out anything ready for the big event, follow us on @hackferencebrum or sign up to our newsletter.


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Kind Enumeration
Definition at line
204
of
Debugger.hpp
Enumerators
Name
Value
exit
help
next
step
continue_
finish
until
break_
delete_
depth
frames
showBreakpoint
showBreakpoints
list
print
setBreakOnThrow
repeatLatest
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---
layout: post
title: 10/10 schoolwork
date: '2013-10-10T22:06:00.001-06:00'
author: Jacob .
tags:
- homeschool-journal
modified_time: '2013-10-11T21:20:31.833-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-3652708905391797132
blogger_orig_url: http://www.svlark.com/2013/10/1010-schoolwork.html
---
Audrey


bench results of play with sql and golang
status
islatest
lateststatus
history
docker swarm 17.05.0-ce - Intel(R) Core(TM) i7-5500U CPU @ 2.40GHz, 16GB
kubernetes 1.6.4 - gcp 4x n1-standard-1 - 1 vCPU, 3.75GB
throughput (transactions/s) - higher is better
min time for each transaction (ns) - lower is better
max time for each transaction (ns) - lower is better
median time for each transaction (ns) - lower is better
standard deviation time for each transaction (ns) - lower is better
number of errors - lower is better
DDL Queries
DML Queries


Training Materials
In order to access materials on this page, you must request permission by emailing this request form.
To submit comments or suggestions, please call Douglas Felt at<PHONE_NUMBER>.


Whether it's only one Sunday per year or a week at Camp to Belong Massachusetts, you will make a difference in a child's life and nothing is more rewarding!
Thank you for your interest in our camping program and we are grateful for your time to apply as a CTB volunteer.
Other opportunities include grant writers and partnerships
For more information regarding volunteer opportunities please contact our volunteer coordinator, Amanda Neas, at<EMAIL_ADDRESS>This is a very special program, and you can really make a difference.


All tools, services, tasks, and engagements under one... Canopy
The overarching goal of Canopy is to house all tools, content, and services under one roof so that our tax professionals can more easily get their jobs done.
The lego bricks of Canopy can be broken down to one of three things: Tasks, Tools, Services, Engagements.
There are alot of views and pages inside Canopy. However, any view can be broken down to one of two user interfaces: Workspace or Feedback Boards.
A template is a very powerful tool used to help our practitioners be more efficient. While a template is simply a tool, it is very important to the structure of Canopy. A task or service template will be the vehicles to creating instances of tasks and services for a practitioners' clients. For most content types there will exist a template, either created by Canopy or a custom template created and managed by the practitioner.
Practitioners and tax professionals can get very distracted as they are working with phone calls, texts, questions, and interruptions by team members and clients. To mitigate this distraction in Canopy we have created the "global add menu" located in the platform navigation bar, where the practitioner can create content from anywhere inside Canopy while not losing their place on the thing they are currently working on.
We often look for real world concepts and processes that are familiar to our tax professionals and use them as metaphors to explain and create workflows and processes. A great metaphor for how Canopy works and behaves is to liken it how most restaurants function.


Introduction
“There's no talent here, this is hard work. This is an obsession. Talent does not exist, we are all equals as human beings. You could be anyone if you put in the time. You will reach the top, and that's that. I am not talented. I am obsessed.” ― Conor McGregor
Welcome To My Portfolio!
My name is Ariel Salazar. I am currently a junior in college with computer science and
mathematics as my major and minor fields of study. While I have a passion for logic,
mathematics, and problem-solving, it has taken me a lot of time and effort to build the
skills that I have today.
As I approached my senior year in high school, I was highly motivated to enroll in the
only computer science course that my school offered. However, I did not get a chance to
take it because the computer science program was small and, therefore, the course did not
run during my year. Nevertheless, I did not lose my motivation, and I chose computer
science as my major when I applied to college. Although I did not have any coding experience
before college, I learned a lot during my freshman year, and I quickly became engaged with
the field of study overall. I invested several hours each day practicing what I learned,
and I continuously looked forward to attending the next lecture.
As of today, computer science is one of my hobbies rather than just an ordinary school subject.
I dedicate a lot of time learning new things every day and becoming more experienced as a
programmer. I strive to do my best, never give up without a fight, and to encourage others
to do the same.


public class DeviceException
extends java.lang.Exception
This is a lightweight class. It is expected that its objects will be created dynamically and discarded after use, even in a resource-constrained environment. It therefore has no "set" method for the field used to identify the cause of the exception; that member must be set by the constructor when the object is created.
Each access exception has a code associated with it, indicating the reason for the exception. See the descriptions of the codes for details of the contexts in which each code may occur.
| Modifier and Type | Field and Description |
|---|---|
static int |
ARGUMENT_EXCEPTION
Parameter error.
|
static int |
BAD_CONTROL_MODE
The device object is not in the proper mode to request this action.
|
static int |
GENERAL_EXCEPTION
Other undefined exception.
|
static int |
NO_IMPLEMENT
the device doesn't support the request will use this code.
|
static int |
NO_PERMISSION
A basic Android application has no permissions associated with it by
default, meaning it can not do anything that would adversely impact the
user experience or any data on the device.
|
static int |
NO_REQUEST_PENDING
No request was pending when
cancelRequest() was invoked. |
static int |
REQUEST_PENDING
A previous request through this device object has not been completed.
|
| Constructor and Description |
|---|
DeviceException(int code)
Constructs an
DeviceException with the given detail message
code. |
DeviceException(int code,
java.lang.String message)
Constructs an
DeviceException with the given detail message
code and the detail message. |
DeviceException(int code,
java.lang.String message,
java.lang.Throwable throwable)
Constructs an
DeviceException with the given detail message
code, the detail message, throwable. |
DeviceException(java.lang.String message)
Constructs an
DeviceException with the given detail message. |
DeviceException(java.lang.Throwable throwable)
Constructs an
DeviceException with the given throwable. |
| Modifier and Type | Method and Description |
|---|---|
int |
getCode()
Retrieves the code associated with the exception.
|
java.lang.String |
toString()
return the short introduction of the exception.
|
public static final int BAD_CONTROL_MODE
open()
is called when the control is already open.
open()
is called when
the control is not open.
public static final int NO_IMPLEMENT
public static final int REQUEST_PENDING
public static final int NO_REQUEST_PENDING
cancelRequest()
was invoked. This code is only used by
cancelRequest
methods.public static final int NO_PERMISSION
public static final int GENERAL_EXCEPTION
public static final int ARGUMENT_EXCEPTION
public DeviceException(int code)
DeviceException
with the given detail message
code.
code
- a constant, defined in DeviceException, identifying
the cause of the exceptionpublic DeviceException(java.lang.String message)
DeviceException
with the given detail message.message
- public DeviceException(int code, java.lang.String message)
DeviceException
with the given detail message
code and the detail message.
code
- a constant, defined in DeviceException, identifying
the cause of the exceptionmessage
- public DeviceException(java.lang.Throwable throwable)
DeviceException
with the given throwable.throwable
- public DeviceException(int code, java.lang.String message, java.lang.Throwable throwable)
DeviceException
with the given detail message
code, the detail message, throwable.
code
- a constant, defined in DeviceException, identifying
the cause of the exceptionmessage
- throwable
- public final int getCode()
This method is synchronous.
public java.lang.String toString()
toString
in class java.lang.Throwable


-
Tweet activity dashboard
support.twitter.com
What is the Tweet activity dashboard? The Tweet activity dashboard is a tool you can use to learn more about your Tweets. For instance: See how ...
-
Bienvenue sur Facebook. Connectez-vous, inscrivez-vous ou découvrez !
www.facebook.com
Facebook est un réseau social qui vous relie à des amis, des collègues de travail, des camarades de classe ou d’autres personnes qui ont quelque ...
-
Post photos and videos to Facebook | Twitpic Blog
blog.twitpic.com
Hello Twitpic’ers! We’re excited to announce that you can now easily share your Twitpic photos not only to Twitter, but also to Facebook. You can ...
-
Twitpic for iPhone | Twitpic Blog
blog.twitpic.com
All of us here at Twitpic are extremely excited to announce the official Twitpic app for the iPhone ! The official Twitpic app lets you share ...
-
Happy #WorldWaterDay, #chs! If you're near the water today, take some ...
twitpic.com
A place for Charleston locals to share photos/videos on Twitter in the #chs loop
-
Twitpic - Share photos and videos on Twitter
twitpic.com
#Artists #A3C #Atlanta #LA #LOUDMusicTour #YoToronto #MastersOfTheRoad #SXSW #Austin #TX #Music #Tours
-
#TwitpicOTM: What do you Love? | Twitpic Blog
blog.twitpic.com
Love is always in the air during February. However, we decided to step away from the usual romantic ‘lovey dovey’ aspect and instead asked you to ...
-
Twitpics Out of This World | Twitpic Blog
blog.twitpic.com
We are excited about a lot of things here at Twitpic. We just moved into our new office (you can follow our blog here: The Startup Life ), we’re ...
-
Creating Comfort in Our New Office | The Startup Life
thestartuplife.com
We have now officially been in our new office just over a week! There are still a few pieces of furniture that we’re waiting on (i.e. we’re using ...
-
Twitpic / Burberry
twitpic.com
A 157 year-old global brand with a distinctly British attitude. Contact @burberryservice for dedicated 24 hour customer assistance
-
How We Work at Twitpic | The Startup Life
thestartuplife.com
Given the size and user base of Twitpic , you may be surprised to find out that we just moved into our first official office space. Previously, we ...
-
#TwitpicOTM: New Year Resolutions | Twitpic Blog
blog.twitpic.com
With a new year comes new beginnings, resolutions, and fresh starts. This month’s #TwitpicOTM winner captured the beginning of an exciting phase of ...
-
Twitpic - Share photos and videos on Twitter
twitpic.com
SOPA (Stop Online Piracy Act) and PIPA (PROTECT-IP Act) are very similar pieces of legislation that both want to kill off illegal file sharing and ...
-
#TwitpicOTM: What Makes Your Holidays Happy? | Twitpic Blog
blog.twitpic.com
December is a time for gathering with family and friends and celebrating the holidays. You all sent in some really great shots– we saw lots of pups ...
-
Improved Video Posting | Twitpic Blog
blog.twitpic.com
Hello Twitpic’ers! We’re excited to let you know that we’ve revamped video posting for Twitpic to be faster and more reliable.
-
#TwitpicOTM: Movember | Twitpic Blog
blog.twitpic.com
November is notorious for cooler weather, falling leaves, shorter days, giving thanks and of course, Movember : a worldwide moustache movement ...
-
We here at @Twitpic can't win but.. here's my #TwitpicOTM entry #Movember ...
twitpic.com
Need help with your @TwitPic account? I'm Sarah, Community Manager with Twitpic- at your service! You bring the Q's & we'll find the A's.
-
#TwitpicOTM Contest Kicks Off Around the World | Twitpic Blog
blog.twitpic.com
Our very first ‘Twitpic of the Month’ contest was really something! Thanks to everyone who participated. With our theme being ‘where in the world are ...
-
#TwitpicOTM | Twitpic Blog
blog.twitpic.com
All of us on the Twitpic team would like to say thank you. Thank you for sharing your favorite faces, places, and memories with us. We see everything ...
-
Remote Jobs: Design, Programming, Rails, Executive, and more.
weworkremotely.com
We Work Remotely is the best place to find and list jobs that aren’t restricted by commutes or a particular geographic area. Find the most qualified ...
-
Hiring for our Customer Satisfaction team | Twitpic Blog
blog.twitpic.com
We’re looking to add a new member to our customer satisfaction team. At Twitpic we strive to provide the best customer service possible to our users ...
-
Photos just got more social | Twitter Blogs
blog.twitter.com
Tag your friends in photos and add up to four pictures in a single Tweet.
-
Testing a way for you to make purchases on Twitter | Twitter Blogs
blog.twitter.com
A new way to discover and buy products on Twitter.
-
Twitter CFO says a Facebook-style filtered feed is coming, whether you ...
gigaom.com
At a financial conference, Twitter’s chief financial officer Anthony Noto suggested that the service will offer algorithm-driven curation of feeds ...
-
M6.0 - 6km NW of American Canyon, California (BETA) 2014-08-24 10:20:44 UTC
comcat.cr.usgs.gov
USGS Earthquake Hazards Program, responsible for monitoring, reporting, and researching earthquakes and earthquake hazards
-
Coming soon: a whole new you, in your Twitter profile | Twitter Blogs
blog.twitter.com
Your Twitter profile shows the world who you are. Starting today, as we roll out a new and improved profile, it will be even easier to express ...
-
Scorpion Brings the Stupidest, Most Batshit Insane Hacker Scene Ever
io9.com
So Scorpion debuted last night on CBS, bringing us the thrilling tale of "geniuses" who help DHS by setting up wifi access points in restaurants. ...
-
xkcd: Tasks
xkcd.com
Warning: this comic occasionally contains strong language (which may be unsuitable for children), unusual humor (which may be unsuitable for adults), ...


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 4
Give meatballs a makeover by using chicken mince and stuffing with oozy mozzarella. Top with homemade tomato sauce for a moreish meal.
Put 2 tablespoons of the olive oil in a large saucepan and add the onion. Gently fry until very soft and translucent, then add the garlic and oregano. Cook for a further minute, and then pour in the wine. Allow to bubble up for a minute or two, then turn down the heat and add the tinned tomatoes. Season with salt and pepper. Leave to simmer, covered, for as long as you can, but at least 1 hour, checking regularly and adding a splash of water if it appears to be getting dry. After the first 20 minutes, check the tomatoes for sweetness and add a pinch of sugar if you think they need it.
Preheat the oven to 200C/180C Fan/Gas 6.
Meanwhile, put the remaining olive oil and the balsamic vinegar into a roasting tin and season with salt and pepper. Mix, then coat the fresh tomatoes in the olive oil mixture. Roast for about 30 minutes or until soft.
Put the roasted tomatoes in a sieve and press the flesh through into the tomato saucepan, extract every bit of lovely flavour from these beauties. Keep the oven on to cook the meatballs.
To make the meatballs, put the chicken mince in a large bowl and season with salt and pepper. Heat the olive oil in a small frying pan and add the onion. Fry gently until very soft and translucent. Add the garlic and cook for a further minute. Allow to cool a little then add to the chicken.
Add the oregano, breadcrumbs, egg, cream, Parmesan and nutmeg to the chicken. Mix very thoroughly. Divide the mixture into 20 balls.
Thoroughly drain the mozzarella balls. Flatten each meatball. Wrap each ball of mozzarella in a basil leaf and put in the middle of the meatball. Wrap the meat around the mozzarella and basil until it is completely enclosed. Shape gently into a sphere.
Heat a little olive oil in a large frying pan and fry the meatballs on each side until well browned.
Transfer the meatballs to an ovenproof dish and pour over the tomato sauce – they will not be completely covered. Slice the remaining mozzarella and arrange over the sauce, then grate over some more Parmesan. Bake in the preheated oven for around 20-25 minutes until piping hot.
While the meatballs are baking, cook the pasta according to the packet instructions. Serve together, with more Parmesan grated over if you like. A few perky basil leaves on top look good too.


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TRAINING DAY (2001) / ***
Directed by Antoine Fuqua. Screenplay by David Ayer. Starring Denzel Washington, Ethan Hawke, Scott Glenn. Running time: 122 minutes. Rated R by the MFCB. Reviewed on October 15th, 2001.
By SHANNON PATRICK SULLIVAN
Synopsis: Young policeman Jake Hoyt (Hawke) wants to join an elite narcotics task force run by Alonzo Harris (Washington). As a trial run, Hoyt accompanies Harris for a day, only to discover that Harris' tactics are scarcely better than those of the crooks themselves. As Hoyt descends farther into Harris' world, it soon appears that he will have to give himself over to his mentor's point of view -- or face the consequences.
Review: Despite its topical nature, "Training Day" is a movie likely to be remembered less for its storyline than for the performances which enrich it. Washington and Hawke are incredible to watch, crafting rich characters with little obvious effort. As Harris, Washington treads just close enough to outlandishness to be memorable, without losing his gritty real-world roots. He is a villain, but one borne of all the corrupt bureaucrats and civil servants which darken our places of power. Hawke, on the other hand, is comparatively naive, but not to the point of ludicrousness. Hoyt is appalled by Harris' actions, but is worldly enough to accept them and try to deal with them; the concept of a man like Harris is not completely beyond the bounds of his reality. To these proceedings, Fuqua brings a raw, snappy directorial style, favouring minimality over excess. When Hoyt is high on pot, Fuqua reflects this with little more than a sickly yellow haze onscreen, eschewing more flamboyant effects. Unfortunately, while Ayer's script is riveting at first, it goes somewhat off the rails in the final reel, burdened with a dubious chain of coincidences and an overblown Hollywood climax. Nonetheless, as a character drama and as a stark reminder that life on the urban streets -- be it as denizen or as cop -- is never black and white, "Training Day" is compelling.
Copyright © 2001 Shannon Patrick Sullivan. Archived at The Popcorn Gallery, http://www.physics.mun.ca/~sps/movies.html
| Shannon Patrick Sullivan |<EMAIL_ADDRESS>| +---------------------------------+---------------------------------+ / Doctor Who: A Brief History of Time (Travel) go.to/drwho-history \ \__ We are all in the gutter but some of us are looking at the stars __/
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Friends, Romans, Countrymen, Lend Me Your Ears. I need final confirmations. Please send your RSVP to<EMAIL_ADDRESS>with your preference of menu. (Starters and Mocktails Only / Main Course, Starters and Mocktails). Amount to be paid: 500 per head [450 + 50 (Security*)] (*Shall be refunded. Shall be used only in to the extent of additional charges incurred in the account of damages for which the organizers are liable.) PLEASE NOTE: Once you send in confirmations, you are agreeing to contribute to the corpus being invested in this event. Payment of the pledged amount shall be made latest by 12:00 pm, 26th June, 2010 to either of the event managers. The sum paid is not refundable except in the contingency of cancellation of the entire event due to unavoidable circumstances. Event shall be canceled if total number of conformations is less than 50. Entry shall be restricted in the event of non-payment of the pledged amount, and the invitee’s name shall not be included in the final guest list. In the need of further clarifications, Contact: Nishant Tyagi<PHONE_NUMBER> Indrajeet Sircar<PHONE_NUMBER>
Scene pakka hai. 26th June, Saturday. REVERB, Noida Timings: 1-6 pm Unlimited Mocktails. Snacks. - 2 Veg - 2 Non Veg Rs 450/head ( without alcohol )+ Alcohol ( Normal Rate ) Extra Get you name in the guests list guys.!
Scene pakka hai. REVERB, G.I.P, Noida Timings: 1-6 pm Unlimited Mocktails. Snacks. - 2 Veg - 2 Non Veg Rs 450/head ( without alcohol )+ Alcohol ( Normal Rate ) Extra Get you name in the guests list guys.!
Date: 26th June , 27th June TANTRAS, Noida Timings: 1-6 pm Unlimited Mocktails. Snacks. Main Course. Rs. 500/head. ( without alcohol )+ Alcohol ( Happy Hours Rate ) Extra REVERB, Noida Timings: 1-6 pm Unlimited Mocktails. Snacks. (2). No Main Course. Rs 450/head ( without alcohol )+ Alcohol ( Normal Rate ) Extra vote for your suited place. Dont worry about the space arrangement. Please Note: 1. Alcohol is cheaper at Tantras. 2. This is just the basic idea we have at the moment. The rates are not final. - Nishant Tyagi - Indrajeet Sircar - Jatin Aidhi Post in your comments please.
Date: 26th June , 27th June TANTRAS, Noida Timings: 1-6 pm Unlimited Mocktails. Snacks. Main Course. Rs. 500/head. ( without alcohol )+ Alcohol ( Happy Hours Rate ) Extra REVERB, Noida Timings: 1-6 pm Unlimited Mocktails. Snacks. (2). No Main Course. Rs 450/head ( without alcohol )+ Alcohol ( Normal Rate ) Extra vote for your suited place. Dont worry about the space arrangement. Please Note: 1. Alcohol is cheaper at Tantras. 2. This is just the basic idea we have at the moment. The rates are not final. The rates might eventually decrease, - Nishant Tyagi - Indrajeet Sircar - Jatin Aidhi Post in your comments please.


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Hazardous Substance Research Center–South and Southwest
EPA Grant Number: R828773Center: Gulf Coast HSRC (Lamar)
Center Director: Ho, Tho C.
Title: Hazardous Substance Research Center–South and Southwest
Investigators: Reible, Danny D.
Current Investigators: Reible, Danny D. , Edge, Billy , Hughes, Joseph B , McCook, Leigh Fitzpatrick , Pardue, J.
Institution: Louisiana State University - Baton Rouge , Georgia Institute of Technology , Rice University , Texas A & M University
Current Institution: Louisiana State University - Baton Rouge , Georgia Institute of Technology , Rice University , Texas A & M University , The University of Texas at Austin
EPA Project Officer: Lasat, Mitch
Project Period: October 1, 2001 through September 30, 2006 (Extended to September 30, 2007)
Project Amount: $5,550,000
RFA: Hazardous Substance Research Centers - HSRC (2001) RFA Text | Recipients Lists
Research Category: Hazardous Waste/Remediation , Nanotechnology , Land and Waste Management
Objective:
The objective of the proposed Hazardous Substance Research Center/South and Southwest (HSRC/S&SW) is to provide basic and applied research, technology transfer and community outreach that address hazardous substance problems, especially the engineering management of contaminated sediments and other problems of special interest to communities within EPA Regions 4 and 6. Due to past and present toxic releases, these regions face serious hazardous substance problems and yet contain a significant fraction of the wetlands and inland waters found in the United States. The mission of the Center is to be a primary provider of the tools and process knowledge required to resolve problems posing the greatest risks to people and the environment.
Approach:
The Center will consist of Louisiana State University, as lead institution, Georgia Institute of Technology, Rice University, and Texas A&M University. The core institutions will be assisted in these endeavors by personnel from Southern University and Howard University. In addition, in recognition of the importance of a local perspective in successful community outreach efforts, we have established partnering agreements with a wide variety of universities and organizations throughout the south and southwest regions. The broad range of expertise available to the research and outreach teams will insure our ability to be truly community and problem driven.
The research themes of the Center include 1) assessing the physical, chemical and biological availability of contaminants in sediments, 2) evaluating and enhancing biotransformation processes in sediments, and, 3) improving the science of risk management for contaminated sediments. The overriding objective is to improve the effectiveness of remedial approaches by seeking to understand and minimize contaminant release and exposure. Toward this end, four research projects have been identified, subject to review and approval of a Scientific Advisory Committee. These projects seek to 1) evaluate the bioavailability of desorption resistant contaminants, 2) develop improved approaches for in-situ containment and treatment, 3) assess contaminant losses during removal and episodic storm events, and, 4) evaluate phytoremediation for remediation in wetlands and confined disposal facilities (CDFs).
The research program will be complimented by a technology transfer and outreach effort focused nationally on contaminated sediments and their management but regionally with respect to the broad range of hazardous substances issues that impact communities in the south and southwest. The technology transfer efforts will disseminate the research advances of the Center via both print and electronic media. The outreach efforts will focus on providing environmentally troubled communities in the region technical assistance to enable them to better understand and participate in decisions being made about their hazardous substance problems.
Expected Results:
The direct product of the Center's research activities is an improved understanding of natural 1 fate and transport processes in sediments and how these processes can be enhanced by human action. This improved understanding will contribute to our ability to assess and manage contaminated sediments in an environmentally sound manner. The primary goal of the outreach activities is to provide information on a wide range of hazardous substance issues, including contaminated sediments, in a way that the specific public stakeholder communities can participate more actively in decisions about those issues. A secondary goal is to enhance technology transfer and outreach to the scientific and regulatory communities about Center research and programs.
Relevant Web Sites:
Collateral grants address outreach activities related to Brownfields. This grant will also be the vehicle for future additional federal funds, in addition to those committed for core grants, for supporting research and outreach activities at the Center.
Collateral Grant: R829480
Journal Articles: 63 Displayed | Download in RIS Format
| Other center views: | All 279 publications | 92 publications in selected types | All 63 journal articles |
|---|
| Type | Citation | ||
|---|---|---|---|
|
|
Apitz SE, Davis JW, Finkelstein K, Hohreiter DW, Hoke R, Jensen RH, Jersak J, Kirtay VJ, Mack EE, Magar VS, Moore D, Reible D, Stahl Jr. RG. Assessing and managing contaminated sediments: part I, developing an effective investigation and risk evaluation strategy. Integrated Environmental Assessment and Management 2005;1(1):2-8. |
R828773 (Final) |
Exit Exit Exit |
|
|
Apitz SE, Davis JW, Finkelstein K, Hohreiter DW, Hoke R, Jensen RH, Jersak J, Kirtay VJ, Mack EE, Magar VS, Moore D, Reible D, Stahl Jr. RG. Assessing and managing contaminated sediments: part II, evaluating risk and monitoring sediment remedy effectiveness. Integrated Environmental Assessment and Management 2005;1(1):e1-e14. |
R828773 (Final) |
Exit Exit Exit |
|
|
Chai Y, Kochetkov A, Reible DD. Modeling biphasic sorption and desorption of hydrophobic organic contaminants in sediments. Environmental Toxicology and Chemistry 2006;25(12):3133-3140. |
R828773 (Final) |
Exit |
|
|
Chai Y, Kochetkov A, Reible DD. Desorption resistance of polycyclic aromatic hydrocarbons and duration of exposure. Environmental Toxicology and Chemistry 2006;25(11):2827-2833. |
R828773 (Final) |
Exit |
|
|
Chai Y, Kochetkov A, Reible DD. The use of coarse, separable, condensed-phase organic carbon particles characterize desorption resistance of polycyclic aromatic hydrocarbons in contaminated sediments. Environmental Toxicology and Chemistry 2007;26(7):1380-1385. |
R828773 (Final) |
Exit |
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|
Chen W, Kan AT, Newell CJ, Moore E, Tomson MB. More realistic soil cleanup standards with dual-equilibrium desorption. Ground Water 2002;40(2):153-164. |
R828773 (2004) R828773 (Final) R828773C001 (2004) R828773C004 (2002) R828773C004 (2004) R826694C700 (Final) R831718 (Final) |
Exit Exit Exit |
|
|
Chen W, Lakshmanan K, Kan AT, Tomson MB. A program for evaluating dual-equilibrium desorption effects on remediation. Ground Water 2004;42(4):620-624. |
R828773 (2004) R828773 (Final) R828773C004 (2004) R825513C023 (Final) R825513C024 (Final) R831718 (2005) R831718 (Final) |
Exit Exit |
|
|
Chen W, Cong L, Hu H, Zhang P, Li J, Feng Z, Kan AT, Tomson MB. Release of adsorbed polycyclic aromatic hydrocarbons under cosolvent treatment: implications for availability and fate. Environmental Toxicology and Chemistry 2008;27(1):112-118. |
R828773 (Final) R831718 (Final) |
Exit |
|
|
Cheng XK, Kan AT, Tomson MB. Uptake and sequestration of naphthalene and 1,2-dichlorobenzene by C60. Journal of Nanoparticle Research 2005;7(4-5):555-567. |
R828773 (2004) R828773 (Final) R828773C004 (2004) R831718 (2005) |
Exit |
|
|
Cheng X, Kan AT, Tomson MB. Naphthalene adsorption and desorption from aqueous C60 fullerene. Journal of Chemical and Engineering Data 2004;49(3):675-683. |
R828773 (2004) R828773 (Final) R828773C004 (2003) R828773C004 (2004) R831718 (2005) |
Exit |
|
|
Cheng X, Kan AT, Tomson MB. Study of C60 transport in porous media and the effect of sorbed C60 on naphthalene transport. Journal of Materials Research 2005;20(12):3244-3254. |
R828773 (Final) R831718 (2005) R831718 (Final) |
Exit |
|
|
Gao Y, Kan AT, Tomson MB. Critical evaluation of desorption phenomena of heavy metals from natural sediments. Environmental Science & Technology 2003;37(24):5566-5573. |
R828773 (2004) R828773 (Final) R828773C004 (2002) R828773C004 (2003) R828773C004 (2004) |
Exit |
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|
Gao Y, Wahi R, Kan AT, Falkner JC, Colvin VL, Tomson MB. Adsorption of cadmium on anatase nanoparticles-effect of crystal size and pH. Langmuir 2004;20(22):9585-9593. |
R828773 (2004) R828773 (Final) R828773C004 (2003) R828773C004 (2004) R831718 (2005) |
Exit Exit |
|
|
Gao Y, Kan AT, Tomson MB. Response to comment on "Critical evaluation of desorption phenomena of heavy metals from natural sediments". Environmental Science & Technology 2004;38(17):4703. |
R828773 (2004) R828773 (Final) R828773C004 (2004) R831718 (2005) |
Exit |
|
|
Gomez-Hermosillo C, Pardue JH, Reible DD. Wetland plant uptake of desorption-resistant organic compounds from sediments. Environmental Science & Technology 2006;40(10):3229-3236. |
R828773 (Final) |
Exit |
|
|
Gust KA, Fleeger JW. Exposure-related effects on Cd bioaccumulation explain toxicity of Cd–phenanthrene mixtures in Hyalella azteca. Environmental Toxicology and Chemistry 2005;24(11):2918-2926. |
R828773 (Final) |
Exit |
|
|
Gust KA. Joint toxicity of cadmium and phenanthrene in the freshwater amphipod Hyalella azteca. Archives of Environmental Contamination and Toxicology 2006;50(1):7-13. |
R828773 (Final) |
Exit |
|
|
Gust KA, Fleeger JW. Exposure to cadmium–phenanthrene mixtures elicits complex toxic responses in the freshwater tubificid oligochaete, Ilyodrilus templetoni. Archives of Environmental Contamination and Toxicology 2006;51(1):54-60. |
R828773 (Final) |
Exit |
|
|
Himmelheber DW, Pennell KD, Hughes JB. Natural attenuation processes during in situ capping. Environmental Science & Technology 2007;41(15):5306-5313. |
R828773 (Final) |
Exit |
|
|
Kan AT, Fu G, Tomson MB. Effect of methanol on carbonate equilibrium and calcite solubility in a gas/methanol/water/salt mixed system. Langmuir 2002;18(25):9713-9725. |
R828773 (2004) R828773 (Final) R828773C004 (2004) |
Exit Exit |
|
|
Kan AT, Fu G, Tomson MB. Effect of methanol and ethylene glycol on sulfates and halite scale formation. Industrial & Engineering Chemistry Research 2003;42(11):2399-2408. |
R828773 (2004) R828773 (Final) R828773C004 (2003) R828773C004 (2004) |
Exit |
|
|
Kan AT, Fu G, Tomson MB, Al-Thubaiti M, Xiao AJ. Factors affecting scale inhibitor retention in carbonate-rich formation during squeeze treatment. SPE Journal 2004;9(3):280-289. |
R828773 (2004) R828773 (Final) R828773C001 (2004) R828773C004 (2004) |
Exit |
|
|
Kan AT, Fu G, Tomson MB. Adsorption and precipitation of an aminoalkylphosphonate onto calcite. Journal of Colloid and Interface Science 2005;281(2):275-284. |
R828773 (2004) R828773 (Final) R828773C004 (2004) R831718 (2005) |
Exit Exit Exit |
|
|
Kassenga GR, Pardue JH, Blair S, Ferraro T. Treatment of chlorinated volatile organic compounds in upflow wetland mesocosms. Ecological Engineering 2003;19(5):305-323. |
R828773C003 (2002) |
not available |
|
|
Kassenga GR, Pardue JH. Effect of competitive terminal electron acceptor processes on dechlorination of cis-1,2-dichloroethene and 1,2-dichloroethane in constructed wetland soils. FEMS Microbiology Ecology 2006;57(2):311-323. |
R828773 (Final) |
Exit Exit Exit |
|
|
Kassenga G, Pardue JH, Moe WM, Bowman KS. Hydrogen thresholds as indicators of dehalorespiration in constructed treatment wetlands. Environmental Science & Technology 2004;38(4):1024-1030. |
R828773 (2004) R828773 (Final) R828773C003 (2003) |
Exit |
|
|
Lee S, Pardue JH, Moe WM, Valsaraj KT. Mineralization of desorption-resistant 1,4-dichlorobenzene in wetland soils. Environmental Toxicology and Chemistry 2003;22(10):2312-2322. |
R828773 (2004) R828773 (Final) R828773C003 (2003) |
Exit |
|
|
Lu X, Reible DD, Fleeger JW, Chai Y. Bioavailability of desorption-resistant phenanthrene to the oligochaete Ilyodrilus templetoni. Environmental Toxicology and Chemistry 2003;22(1):153-160. |
R828773 (2004) R828773 (Final) R828773C001 (2002) R828773C001 (2003) R828773C001 (2004) |
Exit |
|
|
Lu X, Reible DD. Linking sediment exposure with effects:modeling techniques, organic availability and uptake. International Journal of Sediment Research 2003;18(2):208-213. |
R828773 (2004) R828773 (Final) |
not available |
|
|
Lu X, Reible DD, Fleeger JW. Relative importance of ingested sediment versus pore water as uptake routes for PAHs to the deposit-feeding oligochaete Ilyodrilus templetoni. Archives of Environmental Contamination and Toxicology 2004;47(2):207-214. |
R828773 (2004) R828773 (Final) R828773C001 (2003) |
Exit |
|
|
Lu X, Reible DD, Fleeger JW. Bioavailability and assimilation of sediment-associated benzo[a]pyrene by Ilyodrilus templetoni (oligochaeta). Environmental Toxicology and Chemistry 2004;23(1):57-64. |
R828773 (2004) R828773 (Final) R828773C001 (2003) R828773C001 (2004) |
Exit |
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Lu X, Reible DD, Fleeger JW. Bioavailability of polycyclic aromatic hydrocarbons in field-contaminated Anacostia River (Washington, DC) sediment. Environmental Toxicology and Chemistry 2006;25(11):2869-2874. |
R828773 (Final) |
Exit |
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|
McDonough KM, Murphy P, Olsta J, Zhu Y, Reible D, Lowry GV. Development and placement of a sorbent-amended thin layer sediment cap in the Anacostia River. Soil & Sediment Contamination 2007;16(3):313-322. |
R828773 (Final) |
Exit |
|
|
Murphy P, Marquette A, Reible D, Lowry GV. Predicting the performance of activated carbon-, coke-, and soil-amended thin layer sediment caps. Journal of Environmental Engineering-ASCE 2006;132(7):787-794. |
R828773 (Final) |
Exit |
|
|
Pandoe WW, Edge BL. Three-dimensional hydrodynamic model, study cases for quarter annular and idealized ship channel problems. Ocean Engineering 2003;30(9):1117-1135. |
R828773 (2004) R828773 (Final) R828773C002 (2002) R828773C002 (2003) R828773C002 (2004) |
Exit Exit |
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|
Pandoe WW, Edge BL. Cohesive sediment transport in the 3D-hydrodynamic-baroclinic circulation model: study case for idealized tidal inlet. Ocean Engineering 2004;31(17-18):2227-2252. |
R828773 (2004) R828773 (Final) R828773C002 (2004) |
Exit Exit |
|
|
Priklonsky VI, Reible DD, Tyler JM. Consistent unconfined contaminated disposal facilities dike tidal flow and transport model. Environmental Modelling & Software 2005;20(9):1071-1079. |
R828773 (Final) |
Exit Exit Exit |
|
|
Ravikrishna R, Valsaraj KT, Thibodeaux LJ, Reible DD. Effects of oil and grease on the vaporization of organic compounds from contaminated sediments. Environmental Engineering Science 2002;19(2):101-113. |
R828773 (Final) |
Exit |
|
|
Reible DD, Garcia M. Contaminant processes in sediment. American Society of Civil Engineers (ASCE) Sedimentation Manual. |
R828773C001 (2002) R828773C001 (2003) |
not available |
|
|
Reible D, Mohanty S. A levy flight-random walk model for bioturbation. Environmental Toxicology and Chemistry 2002;21(4):875-881. |
R828773 (2004) R828773 (Final) R828773C001 (2002) R828773C001 (2003) R828773C001 (2004) |
Exit |
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|
Reible D, Hayes D, Lue-Hing C, Patterson J, Bhowmik N, Johnson M, Teal J. Comparison of the long-term risks of removal and in situ management of contaminated sediments in the Fox River. Soil & Sediment Contamination 2003;12(3):325-344. |
R828773 (Final) |
Exit |
|
|
Reible D, Lampert D, Constant D, Mutch Jr. RD, Zhu YW. Active capping demonstration in the Anacostia River, Washington, DC. Remediation Journal 2006;17(1):39-53. |
R828773 (Final) |
Exit Exit |
|
|
Sanchez FF, Thibodeaux LJ, Valsaraj KT, Reible DD. Multimedia chemical fate model for environmental dredging. Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management 2002;6(2):120-128. |
R828773 (Final) |
Exit |
|
|
Tarabara VV, Wiesner MR. Effect of collision efficiency on the evolution of the surface of diffusion-limited deposits. Journal of Colloid and Interface Science 2001;237(1):150-151. |
R828773 (2004) R828773 (Final) R828773C002 (2003) R826694C620 (Final) |
Exit Exit |
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Tarabara VV, Pierrisnard F, Parron C, Bottero J-Y, Wiesner MR. Morphology of deposits formed from chemically heterogeneous suspensions: application to membrane filtration. Journal of Colloid and Interface Science 2002;256(2):367-377. |
R828773 (2004) R828773 (Final) R828773C002 (2002) R828773C002 (2003) R828773C002 (2004) |
Exit Exit |
|
|
Tarabara VV, Hovinga RM, Wiesner MR. Constant transmembrane pressure vs. constant permeate flux: effect of particle size on crossflow membrane filtration. Environmental Engineering Science 2002;19(6):343-355. |
R828773 (2004) R828773 (Final) R828773C002 (2004) |
Exit |
|
|
Tarabara VV, Wiesner MR. Computational fluid dynamics modeling of the flow in a laboratory membrane filtration cell operated at low recoveries. Chemical Engineering Science 2003;58(1):239-246. |
R828773 (2004) R828773 (Final) R828773C002 (2004) |
Exit Exit Exit |
|
|
Tarabara VV, Koyuncu I, Wiesner MR. Effect of hydrodynamics and solution ionic strength on permeate flux in cross-flow filtration: direct experimental observation of filter cake cross-sections. Journal of Membrane Science 2004;241(1):65-78. |
R828773 (2004) R828773 (Final) R828773C002 (2004) |
Exit Exit Exit |
|
|
Tarabara VV, Wiesner MR. Physical and transport properties of bentonite-cement composites: a new material for in situ capping of contaminated underwater sediments. Environmental Engineering Science 2005;22(5):578-590. |
R828773C002 (2004) |
Exit Exit |
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|
Thibodeaux LJ, Valsaraj KT, Reible DD. Bioturbation-driven transport of hydrophobic organic contaminants from bed sediment. Environmental Engineering Science 2001;18(4):215-223. |
R828773 (2004) R828773 (Final) R828773C001 (2002) R828773C001 (2003) R828773C001 (2004) R825513C011 (Final) |
Exit |
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Thibodeaux LJ, Huls H, Ravikrishna R, Valsaraj KT, Costello M, Reible DD. Laboratory simulation of chemical evaporation from dredge-produced sediment slurries. Environmental Engineering Science 2004;21(6):730-740. |
R828773 (Final) |
Exit |
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|
Tomson MB, Fu G, Watson MA, Kan AT. Mechanisms of mineral scale inhibition. SPE Production & Facilities 2003;18(3):192-199. |
R828773 (2004) R828773 (Final) R828773C004 (2004) |
Exit Exit |
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|
Tomson MB, Kan AT, Fu G. Inhibition of barite scale in the presence of hydrate inhibitors. SPE Journal 2005;10(3):256-266. |
R828773 (Final) R831718 (2005) |
Exit |
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|
Tomson MB, Kan AT, Fu G, Al-Thubaiti M, Shen D, Shipley HJ. Scale formation and prevention in the presence of hydrate inhibitors. SPE Journal 2006;11(2):248-258. |
R828773 (Final) R831718 (Final) |
Exit Exit |
|
|
Tomson MB, Kan AT, Fu G, Cong L. Measurement of total alkalinity and carboxylic acid and their relation to scaling and corrosion. SPE Journal 2006;11(1):103-110. |
R828773 (Final) R831718 (2005) R831718 (Final) |
Exit |
|
|
Tomson MB, Kan AT, Fu G. Control of inhibitor squeeze through mechanistic understanding of inhibitor chemistry. SPE Journal 2006;11(3):283-293. |
R828773 (Final) R831718 (2005) R831718 (Final) |
Exit |
|
|
Weimer ML, Constant WD. Hygro-Mole: a logging tool for determining moisture content in environmentally sensitive subsurface zones. Journal of Energy Resources Technology 2006;128(1):44-48. |
R828773 (2004) R828773 (Final) |
Exit |
|
|
Work PA, Moore PR, Reible DD. Bioturbation, advection, and diffusion of a conserved tracer in a laboratory flume. Water Resources Research 2002;38(6):24-1–24-9. |
R828773 (2004) R828773 (Final) R828773C001 (2003) R828773C001 (2004) |
Exit Exit Exit |
|
|
Yan L, Thompson KE, Valsaraj KT, Reible DD. In-situ control of DNAPL density using polyaphrons. Environmental Science & Technology 2003;37(19):4487-4493. |
R828773 (Final) |
Exit |
|
|
Yang W, Duan L, Zhang N, Zhang C, Shipley HJ, Kan AT, Tomson MB, Chen W. Resistant desorption of hydrophobic organic contaminants in typical Chinese soils: implications for long-term fate and soil quality standards. Environmental Toxicology and Chemistry 2008;27(1):235-242. |
R828773 (Final) R831718 (Final) |
Exit |
|
|
Yavuz CT, Mayo JT, Yu WW, Prakash A, Falkner JC, Yean S, Cong L, Shipley HJ, Kan A, Tomson M, Natelson D, Colvin VL. Low-field magnetic separation of monodisperse Fe3O4 nanocrystals. Science 2006;314(5801):964-967. |
R828773 (Final) R831718 (Final) |
Exit Exit |
|
|
Yean S, Cong L, Yavuz CT, Mayo JT, Yu WW, Kan AT, Colvin VL, Tomson MB. Effect of magnetite particle size on adsorption and desorption of arsenite and arsenate. Journal of Materials Research 2005;20(12):3255-3264. |
R828773 (2004) R828773 (Final) R831718 (2005) R831718 (Final) |
Exit Exit |
|
|
Yuan Q, Valsaraj KT, Reible DD, Willson CS. A laboratory study of sediment and contaminant release during gas ebullition. Journal of the Air & Waste Management Association 2007;57(9):1103-1111. |
R828773 (Final) |
Exit Exit |
Supplemental Keywords:
TOSC, TAB, sequestration, bioaccessibility, dredging and dredged materials, plant-based remediation, capping, hurricane, RFA, Scientific Discipline, Geographic Area, Waste, Water, Contaminated Sediments, Environmental Chemistry, Analytical Chemistry, Hazardous Waste, Ecological Risk Assessment, Hazardous, Environmental Engineering, EPA Region, hazardous waste treatment, region 4, fate and transport , in situ remediation, bioavailability, biodegradation, contaminated sediment, contaminated soil, treatment, Region 6, contaminant management, phytoremediationProgress and Final Reports:
2002 Progress Report2003 Progress Report
2004 Progress Report
Final Report
Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R828773C001 Bioturbation and Bioavailability of Residual, Desorption-Resistant
Contaminants
R828773C002 In-Situ Containment and Treatment of Contaminated Sediments: Engineering Cap Integrity and Reactivity
R828773C003 Phytoremediation in Wetlands and CDFs
R828773C004 Contaminant Release During Removal and Resuspension
R828773C005 HSRC Technology Transfer, Training, and Outreach


Allow users to change the default port used by Katalon Studio to communicate with the active Chrome browser (support for Firefox is coming soon). The desktop application preference must be configured accordingly as the screenshot below.
(In Katalon Studio: Window > Katalon Studio Preferences > Utility Addon)
This browser extension is developed by Katalon Studio team to support users of the obsolete Selenium IDE to record and playback the automation test cases on both Firefox 55+ and Chrome browsers.
Selenium IDE script is supported and can be loaded into Katalon Automation Recorded and export to multiple languages and formats.
Katalon Studio and Katalon Automation Recorder are completely free. For more information contact us at<EMAIL_ADDRESS>Special thanks to the following teams and individuals who inspired and provided open source projects to help us creating Katalon Automation Recorder as a contribution back to the software testing community.


The Tower of London ice rink returns this winter, offering day and evening ice skating sessions in the setting of the historic London landmark. Catch up with friends and family on the ice or enjoy a romantic skate under the starry sky, as hundreds of snowflakes light up the wall of the fortress after dark.


"""
**hep_ml.speedup** is module to obtain formulas with machine learning,
which can be applied very fast (with a speed comparable to simple selections),
while keeping high quality of classification.
In many application (i.e. triggers in HEP) it is pressing to get really fast formula.
This module contains tools to prepare formulas, which can be applied with the speed comparable to cuts.
Example
-------
Let's show how one can use some really heavy classifier and still have fast predictions:
>>> from sklearn.ensemble import RandomForestClassifier
>>> from hep_ml.speedup import LookupClassifier
>>> base_classifier = RandomForestClassifier(n_estimators=1000, max_depth=25)
>>> classifier = LookupClassifier(base_estimator=base_classifier, keep_trained_estimator=False)
>>> classifier.fit(X, y, sample_weight=sample_weight)
Though training takes much time, all predictions are precomputed and saved to lookup table,
so you are able to predict millions of events per second using single CPU:
>>> classifier.predict_proba(testX)
"""
from __future__ import division, print_function, absolute_import
import numpy
import pandas
from collections import OrderedDict
from sklearn.base import ClassifierMixin, BaseEstimator, clone
from .commonutils import to_pandas_dataframe, check_xyw, check_sample_weight, weighted_quantile
__author__ = 'Alex Rogozhnikov'
[docs]class LookupClassifier(BaseEstimator, ClassifierMixin):
def __init__(self, base_estimator, n_bins=16, max_cells=500000000, keep_trained_estimator=True):
"""
LookupClassifier splits each of features into bins, trains a base_estimator to use this data.
To predict class for new observation, results of base_estimator are kept for all possible combinations of bins,
and saved together
:param base_estimator: classifier used to build predictions
:param n_bins:
* int: how many bins to use for each axis
* dict: feature_name -> int, specialize how many bins to use for each axis
* dict: feature_name -> list of floats, set manually edges of bins
By default, the (weighted) quantiles are used to compute bin edges.
:type n_bins: int | dict
:param int max_cells: raise error if lookup table will have more items.
:param bool keep_trained_estimator: if True, trained estimator will be saved.
See also: this idea is used inside LHCb triggers, see V. Gligorov, M. Williams, 'Bonsai BDT'
Resulting formula is very simple and can be rewritten in other language or environment (C++, CUDA, etc).
"""
self.base_estimator = base_estimator
self.n_bins = n_bins
self.max_cells = max_cells
self.keep_trained_estimator = keep_trained_estimator
[docs] def check_dimensions(self, bin_edges):
cumulative_size = numpy.cumprod([len(bin_edge) + 1 for name, bin_edge in bin_edges.items()])
if numpy.any(cumulative_size > self.max_cells):
raise ValueError('the total size of lookup table exceeds {}, '
'reduce n_bins or number of features in use'.format(self.max_cells))
[docs] def fit(self, X, y, sample_weight=None):
"""Train a classifier and collect predictions for all possible combinations.
:param X: pandas.DataFrame or numpy.array with data of shape [n_samples, n_features]
:param y: array with labels of shape [n_samples]
:param sample_weight: None or array of shape [n_samples] with weights of events
:return: self
"""
self.classes_ = numpy.unique(y)
X, y, normed_weights = check_xyw(X, y, sample_weight=sample_weight, classification=True)
X = to_pandas_dataframe(X)
normed_weights = check_sample_weight(y, sample_weight=normed_weights, normalize_by_class=True, normalize=True)
self.bin_edges = self._compute_bin_edges(X, normed_weights=normed_weights)
self.check_dimensions(self.bin_edges)
n_parameter_combinations = numpy.prod([len(bin_edge) + 1 for name, bin_edge in self.bin_edges.items()])
transformed_data = self.transform(X)
trained_estimator = clone(self.base_estimator)
fit_params = {}
if sample_weight is not None:
fit_params['sample_weights'] = sample_weight
trained_estimator.fit(transformed_data, y, **fit_params)
all_lookup_indices = numpy.arange(int(n_parameter_combinations))
all_combinations = self.convert_lookup_index_to_bins(all_lookup_indices)
self._lookup_table = trained_estimator.predict_proba(all_combinations)
if self.keep_trained_estimator:
self.trained_estimator = trained_estimator
return self
def _compute_bin_edges(self, X, normed_weights):
"""
Compute edges of bins, weighted quantiles are used,
"""
bins_over_axis = OrderedDict()
for column in X.columns:
if isinstance(self.n_bins, int):
bins_over_axis[column] = self.n_bins
else:
bins_over_axis[column] = self.n_bins[column]
bin_edges = OrderedDict()
for column, column_bins in bins_over_axis.items():
if isinstance(column_bins, int):
quantiles = numpy.linspace(0., 1., column_bins + 1)[1:-1]
bin_edges[column] = weighted_quantile(X[column], quantiles=quantiles, sample_weight=normed_weights)
else:
bin_edges[column] = numpy.array(list(column_bins))
return bin_edges
[docs] def convert_bins_to_lookup_index(self, bins_indices):
"""
:param bins_indices: numpy.array of shape [n_samples, n_columns], filled with indices of bins.
:return: numpy.array of shape [n_samples] with corresponding index in lookup table
"""
lookup_indices = numpy.zeros(len(bins_indices), dtype=int)
bins_indices = numpy.array(bins_indices)
assert bins_indices.shape[1] == len(self.bin_edges)
for i, (column_name, bin_edges) in enumerate(self.bin_edges.items()):
lookup_indices *= len(bin_edges) + 1
lookup_indices += bins_indices[:, i]
return lookup_indices
[docs] def convert_lookup_index_to_bins(self, lookup_indices):
"""
:param lookup_indices: array of shape [n_samples] with positions at lookup table
:return: array of shape [n_samples, n_features] with indices of bins.
"""
result = numpy.zeros([len(lookup_indices), len(self.bin_edges)], dtype='uint8')
for i, (column_name, bin_edges) in list(enumerate(self.bin_edges.items()))[::-1]:
n_columns = len(bin_edges) + 1
result[:, i] = lookup_indices % n_columns
lookup_indices = lookup_indices // n_columns
return result
[docs] def predict(self, X):
"""Predict class for each event
:param X: pandas.DataFrame with data
:return: array of shape [n_samples] with predicted class labels.
"""
return self.classes_[numpy.argmax(self.predict_proba(X), axis=1)]
[docs] def predict_proba(self, X):
""" Predict probabilities for new observations
:param X: pandas.DataFrame with data
:return: probabilities, array of shape [n_samples, n_classes]
"""
bins_indices = self.transform(X)
lookup_indices = self.convert_bins_to_lookup_index(bins_indices)
return self._lookup_table[lookup_indices]


DYNAMIC TEXT RECEIVED FROM THE HOST
Dynamic Text 0:
Dynamic Text 1:
Dynamic Text 2:
Dynamic Text 3:
Dynamic Text 4:


MAZE DOG
developed by eggnog
release date: 2017/8/25
tested version: v1.0
genre: adventure
players: 1
violence: none
.
play here
download cart
release date: 2017/8/25
tested version: v1.0
genre: adventure
players: 1
violence: none
.
play here
download cart
FIND THE CHICKS! DIG FOR SNACKS! ANNOY THE DUCKS! NAVIGATE THE MAZE!
 You go from screen to screen controlling a cute little puppy. You need to find 8 chickens that has run away from their home and theres’ 8 “snacks” hidden throughout the game for completionists. Going from screen to screen can be a little dull sometimes, but finding a chick does feel rewarding.
Try MAZE DOG with a steamy cup of java this afternoon.


Components are html
elements. So if you know
html then you're all set!
Some components require basic
javascript knowledge.
Ease of Use
Components are styled and function
to provide the best user experience.
User Friendly
Components are built
to look and function appropriately
on desktops and mobile devices.
Mobile Friendly
Just npm install, javascript import
then place the html tag anywhere!
See the getting started.
Simple Installation
All styles are baked in.
No need to worry about writing css.
Woohoo!
No Styling Required
Css variables are available for every component
to provide your own style.
Customizable Styles
No javascript framework required.
Components are native to the browser.
Meaning, they will work with or without
a javascript framework (like angular or react).
Framework Agnostic
Every component is its own package.
So if you only want to use one,
no problemo!
Use All or Individually
Documentation is just as important
to us as creating the components.
This site contains interactive demos
for every component to see exactly
what each feature does.
Superb Documentation


{% autoescape on %}
The mega quizz - attempt at your own risk!
Ferris Bueller was filmed in what city?
{% for city in cities %}
{{city.name}}
{{city.name}}
{{city.name}}
{{city.name}}
{% endfor %}
The quote "I am the Keymaster! The Destructor is coming. Gozer the Traveler, the Destroyer." comes from what movie?
{% for movie in movies %}
{{movie.name}}
{{movie.name}}
{{movie.name}}
{{movie.name}}
{% endfor %}
What car was in "Back to the Future"?
{% for car in cars %}
{{car.name}}
{{car.name}}
{{car.name}}
{{car.name}}
{% endfor %}
{% endautoescape %}


Source code for qiskit.wrapper.defaultqiskitprovider
# -*- coding: utf-8 -*-
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""Meta-provider that aggregates several providers."""
import logging
from itertools import combinations
from qiskit import QISKitError
from qiskit.backends.baseprovider import BaseProvider
from qiskit.backends.local.localprovider import LocalProvider
logger = logging.getLogger(__name__)
[docs]class DefaultQISKitProvider(BaseProvider):
"""
Meta-provider that aggregates several providers.
"""
def __init__(self):
super().__init__()
# List of providers.
self.providers = [LocalProvider()]
[docs] def get_backend(self, name):
name = self.resolve_backend_name(name)
for provider in self.providers:
try:
return provider.get_backend(name)
except KeyError:
pass
raise KeyError(name)
[docs] def available_backends(self, filters=None):
"""Get a list of available backends from all providers (after filtering).
Note:
If two or more providers share similar backend names, only the backends
belonging to the first registered provider will be returned.
Args:
filters (dict or callable): filtering conditions.
each will either pass through, or be filtered out:
1) dict: {'criteria': value}
the criteria can be over backend's `configuration` or `status`
e.g. {'local': False, 'simulator': False, 'operational': True}
2) callable: BaseBackend -> bool
e.g. lambda x: x.configuration['n_qubits'] > 5
Returns:
list[BaseBackend]: a list of backend instances available
from all the providers.
Raises:
QISKitError: if passing filters that is neither dict nor callable
"""
# pylint: disable=arguments-differ
backends = []
for provider in self.providers:
backends.extend(provider.available_backends())
if filters is not None:
if isinstance(filters, dict):
# exact match filter:
# e.g. {'n_qubits': 5, 'operational': True}
for key, value in filters.items():
backends = [instance for instance in backends
if instance.configuration.get(key) == value
or instance.status.get(key) == value]
elif callable(filters):
# acceptor filter: accept or reject a specific backend
# e.g. lambda x: x.configuration['n_qubits'] > 5
accepted_backends = []
for backend in backends:
try:
if filters(backend) is True:
accepted_backends.append(backend)
except Exception: # pylint: disable=broad-except
pass
backends = accepted_backends
else:
raise QISKitError('backend filters must be either dict or callable.')
return backends
[docs] def grouped_backend_names(self):
"""
Aggregate group names from all providers.
Returns:
dict[str: list[str]]: aggregated group dictionary
Raises:
ValueError: if a backend is mapped to multiple groups
"""
groups = {}
for provider in self.providers:
groups.update(provider.grouped_backend_names())
for pair in combinations(groups.values(), r=2):
if not set.isdisjoint(set(pair[0]), set(pair[1])):
raise ValueError('duplicate backend group definition')
return groups
[docs] def deprecated_backend_names(self):
"""
Aggregate deprecated names from all providers.
Returns:
dict[str: str]: aggregated dictionary of deprecated names
"""
deprecates = {}
for provider in self.providers:
deprecates.update(provider.deprecated_backend_names())
return deprecates
[docs] def aliased_backend_names(self):
"""
Aggregate aliased names from all providers.
Returns:
dict[str: str]: aggregated alias dictionary
"""
aliases = {}
for provider in self.providers:
aliases.update(provider.aliased_backend_names())
return aliases
[docs] def add_provider(self, provider):
"""
Add a new provider to the list of known providers.
Args:
provider (BaseProvider): Provider instance.
Returns:
BaseProvider: the provider instance.
Raises:
QISKitError: if trying to add a provider identical to one already registered
"""
# Check for backend name clashes, emitting a warning.
current_backends = {str(backend) for backend in self.available_backends()}
added_backends = {str(backend) for backend in provider.available_backends()}
common_backends = added_backends.intersection(current_backends)
# checks for equality of provider instances, based on the __eq__ method
if provider not in self.providers:
self.providers.append(provider)
else:
raise QISKitError("The same provider has already been registered!")
if common_backends:
logger.warning(
'The backend names "%s" of this provider are already in use. '
'Refer to documentation for `available_backends()` and `unregister()`.',
list(common_backends))
return provider
[docs] def remove_provider(self, provider):
"""
Remove a provider from the list of known providers.
Args:
provider (BaseProvider): provider to be removed.
Raises:
QISKitError: if the provider is not registered.
"""
if isinstance(provider, LocalProvider):
raise QISKitError("Cannot unregister 'local' provider.")
try:
self.providers.remove(provider)
except ValueError:
raise QISKitError("'%s' provider is not registered.")
[docs] def resolve_backend_name(self, name):
"""Resolve backend name from a possible short group name, a deprecated name,
or an alias.
A group will be resolved in order of member priorities, depending on availability.
Args:
name (str): name of backend to resolve
Returns:
str: name of resolved backend, which is available from one of the providers
Raises:
LookupError: if name cannot be resolved through
regular available names, nor groups, nor deprecated, nor alias names
"""
resolved_name = ""
available = [b.name for b in self.available_backends(filters=None)]
grouped = self.grouped_backend_names()
deprecated = self.deprecated_backend_names()
aliased = self.aliased_backend_names()
if name in available:
resolved_name = name
elif name in grouped:
available_members = [b for b in grouped[name] if b in available]
if available_members:
resolved_name = available_members[0]
elif name in deprecated:
resolved_name = deprecated[name]
logger.warning('WARNING: %s is deprecated. Use %s.', name, resolved_name)
elif name in aliased:
resolved_name = aliased[name]
if resolved_name not in available:
raise LookupError('backend "{}" not found.'.format(name))
return resolved_name


ARTEMISIA A film review by Steve Rhodes Copyright 1998 Steve Rhodes
RATING (0 TO ****): **
ARTEMISIA, the purportedly true story of Artemisia Gentileschi, a seventeenth century Roman artist who was the first female member of the Academy in Florence, suffers from the same confusion of purpose that a similar film, DANGEROUS BEAUTY, did earlier this year. DANGEROUS BEAUTY, which featured a high paid poet-prostitute from the same period and area, tried to emphasize its credentials as a statement about female
independence in a male dominated world, but spent most of time in various sexual encounters.
So it is with ARTEMISIA, which starts off well by considering the hardships of becoming a respected artist, especially a female one, in 1670. The film immerses us in the minutia of painting from the preparation of the paints to the setting of the scenery scaffolding to the art of choosing just the right naked body to paint. (Nope, that one's too skinny. Breasts are too large on that one. His rear's all wrong.)
When we first meet Artemisia, she is taking off her clothes. With a handheld mirror she examines and sketches every part of the female anatomy. One of the biggest barriers to Artemisia's success in the art world, however, was that women were not permitted by the Pope to paint nude males.  DANGEROUS BEAUTY followed a similarly predictable path.
Valentina Cervi plays Artemisia with an earnest and unvarying composure. Her father Orazio, played by Michel Serrault from NELLY & MONSIEUR ARNAUD, does not approve of the nightly debauchery of his fellow artists. He complains that their life consists of "painting saints by day and sinning by night." Artemisia loves to peer in the open window at night to watch dozens of naked men and women groping each
other. (There's an artist on hand to record their proclivities.)
Orazio, a painter of some considerable repute himself, introduces his daughter to Agostino Tassi (Miki Manojlovic) to learn more about painting. The virginal Artemisia and Agostino soon become lovers, much to the father's dismay. Neither member of this love affair demonstrates
any genuine passion. Both of the actors give a rather distant and ethereal reading of their parts, artistic and sexual.
The movie spends most of the time drifting along aimlessly. Director Agnes Merlet sets a languid pace that would be in danger of putting the audience to sleep were it not for the frequent nudity and sex.
 Why can't we have a film about a woman from that era who prospers without the need for constant disrobing?
ARTEMISIA runs 1:38. The movie is in French with English subtitles. It is not rated but would probably be an R for complete nudity, sex, profanity, and brief violence and would be acceptable for older and mature teenagers.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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--- layout: post title: Big Brother in Second Life date: 2006-11-14 00:00:00 categories: digital-media social ---
Big Brother in Second Life: "This seems to be piling the self-referential onto the virtual to the point where it becomes impossible to maintain the suspension of disbelief necessary to survive in what has recently become the hippest and trendiest of online environments."


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vignettes/chapter-03.Rmd
chapter-03.Rmd
library(hayashir)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(stargazer)
#>
#> Please cite as:
#> Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.
#> R package version 5.2.2. https://CRAN.R-project.org/package=stargazer
library(AER)
#> Loading required package: car
#> Loading required package: carData
#>
#> Attaching package: 'car'
#> The following object is masked from 'package:dplyr':
#>
#> recode
#> Loading required package: lmtest
#> Loading required package: zoo
#>
#> Attaching package: 'zoo'
#> The following objects are masked from 'package:base':
#>
#> as.Date, as.Date.numeric
#>
#> Attaching package: 'lmtest'
#> The following object is masked from 'package:hayashir':
#>
#> moneydemand
#> Loading required package: sandwich
#> Loading required package: survival
str(griliches)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 758 obs. of 20 variables:
#> $ southern_residence : num 0 0 0 0 0 0 0 0 0 0 ...
#> $ southern_residence_80: num 0 0 0 0 0 0 0 0 0 0 ...
#> $ married : num 0 0 0 0 1 0 1 1 1 1 ...
#> $ married_80 : num 1 1 1 1 1 0 1 1 1 1 ...
#> $ lives_metro : num 1 1 1 1 1 1 1 0 1 0 ...
#> $ lives_metro_80 : num 1 1 1 1 1 1 1 0 1 0 ...
#> $ mothers_educ : num 8 14 14 12 6 8 8 14 12 13 ...
#> $ iq_score : num 93 119 108 96 74 91 114 111 95 132 ...
#> $ kww_score : num 35 41 46 32 27 24 50 37 44 44 ...
#> $ year : num 68 66 67 66 73 66 73 67 66 73 ...
#> $ age : num 19 23 20 18 26 16 30 23 22 30 ...
#> $ age_80 : num 31 37 33 32 34 30 38 36 36 38 ...
#> $ education : num 12 16 14 12 9 9 18 15 12 18 ...
#> $ education_80 : num 12 18 14 12 11 10 18 15 12 18 ...
#> $ experience : num 0.462 0 0.423 0.333 9.013 ...
#> $ experience_80 : num 10.6 11.4 11 13.1 14.4 ...
#> $ tenure : num 0 2 1 1 3 1 6 1 2 5 ...
#> $ tenure_80 : num 2 16 9 7 5 0 14 1 16 13 ...
#> $ log_wage : num 5.9 5.44 5.71 5.48 5.93 ...
#> $ log_wage_80 : num 6.64 6.69 6.71 6.48 6.33 ...
to_summarize <- griliches %>%
select(age, education, log_wage, kww_score, iq_score, experience)
stargazer(as.data.frame(to_summarize), type = "html")
| Statistic | N | Mean | St. Dev. | Min | Pctl(25) | Pctl(75) | Max |
| age | 758 | 21.835 | 2.982 | 16 | 20 | 24 | 30 |
| education | 758 | 13.405 | 2.232 | 9 | 12 | 16 | 18 |
| log_wage | 758 | 5.687 | 0.429 | 4.605 | 5.380 | 5.991 | 7.051 |
| kww_score | 758 | 36.574 | 7.302 | 12 | 32 | 41 | 56 |
| iq_score | 758 | 103.856 | 13.619 | 54 | 95.2 | 113.8 | 145 |
| experience | 758 | 1.735 | 2.106 | 0.000 | 0.282 | 2.440 | 11.444 |
Notice that because we are using the Blackburn-Neumark data rather than copying the data from Griliches directly we get slightly different results.
First we estimate the three models. We again expect slightly different results because (i) we have different data than Griliches; and (ii) the controls are slightly different - due to data availability.
model1 <- lm(log_wage ~ education +
experience + tenure +
southern_residence + lives_metro +
age + I(age^2) + married,
data = griliches)
model2 <- lm(log_wage ~ education + iq_score +
experience + tenure +
southern_residence + lives_metro +
age + I(age^2) + married,
data = griliches)
model3 <- ivreg(log_wage ~ education + iq_score +
experience + tenure +
southern_residence + lives_metro +
age + I(age^2) + married |
. -iq_score + kww_score + mothers_educ,
data = griliches)
Let’s put them all into a table, we use Std Errors in parentheses, not t-stats:
stargazer(model1, model2, model3, type = "html",
keep = c("education", "iq_score", "experience",
"tenure")
)
| Dependent variable: | |||
| log_wage | |||
| OLS | instrumental | ||
| variable | |||
| (1) | (2) | (3) | |
| education | 0.067*** | 0.054*** | 0.062*** |
| (0.007) | (0.008) | (0.017) | |
| iq_score | 0.004*** | 0.001 | |
| (0.001) | (0.005) | ||
| experience | 0.003 | 0.004 | 0.003 |
| (0.007) | (0.007) | (0.007) | |
| tenure | 0.009 | 0.007 | 0.008 |
| (0.008) | (0.008) | (0.008) | |
| Observations | 758 | 758 | 758 |
| R2 | 0.426 | 0.437 | 0.432 |
| Adjusted R2 | 0.420 | 0.430 | 0.426 |
| Residual Std. Error | 0.327 (df = 749) | 0.324 (df = 748) | 0.325 (df = 748) |
| F Statistic | 69.490*** (df = 8; 749) | 64.450*** (df = 9; 748) | |
| Note: | p<0.1; p<0.05; p<0.01 |


About Me
Tony Yang iOS Developer, 天枰座，理想主义！
There's a phrase in Buddhism, 'Beginner's mind.It's wonderful to have a beginner's mind.
Tony Yang iOS Developer, 天枰座，理想主义！
There's a phrase in Buddhism, 'Beginner's mind.It's wonderful to have a beginner's mind.


How Are Bubbles Formed?
I’ve always thought of a bubble as a compounded result of residual greed when the optimism of the many are perpetually validated.
This reminds me of what Warren Buffett tells us to do when we see compelling evidence of an impending bubble:
“Be fearful when others are greedy, and greedy when others are fearful.” – Warren Buffett
But only a few have the discipline to do this, because everyone can easily forget about the principle when they’re constantly seduced by social proofs of getting rich by everyone they know, everywhere they look.
I can think of three examples of bubbles to illustrate what I mean by compounded greed due to reinforced optimism: the stock market, real estate, and manufacturing.
Stock Market Bubble
A stock market bubble starts when investors become optimistic above moderate levels for a company’s future performance. This creates a buying avalanche for the company’s shares and raises the stock price along with the company’s valuation. Because the stock keeps going “green” as the company continues to achieve positive expectations quarter over quarter, it attracts even more people to be on boardAnd here people have already forgotten the principle that they should be buying low, not buying high! .
In other words, as quarterly reports come and the company keeps on beating estimates, this results into compounded vicious cycles of investment euphoria where people expect more and more from the company’s near-term performance. Sooner or later, this becomes unsustainable and expectations end up severely misaligned and unrealistic in relation to how much more the company can grow and how much bigger it hopes its captured, perhaps then saturated, market will still increase in size.
A threshold is suddenly reached when the company, to the best of its ability, cannot meet such investor expectationsFor example, the promise of “2x growth every quarter” which is not uncommon these days and everyone sells in panic causing sharp downturns in the company’s valuation. Pop goes the bubble.
Housing Bubble
A housing bubble starts when the market, house buyers that is, starts tolerating what will eventually become a bullish streak of housing price increases. To note, an increase in housing prices can be caused by inflation, interest rates, or simply greater demand for real estate.
An increase in housing prices translates to more profit for real estate suppliers, which in turn provides them with additional capital to build even more houses. Going back to our definition of a bubble, real estate providers are self-encouraged to build more houses due to an overly optimistic outlook of housing sales that keeps on getting vindicated.
After continuous building, there comes a point when the supply becomes greater than the demand, but a lingering sense of optimism persists among suppliers due to their “winning streak” which widens the supply-demand gap even further along with the hopes that the buyers can keep tolerating high prices. The supply-demand gap can end up being dramatically improportionate if, in the first place, what was thought to be actual demand was nothing but perceived demand.
There comes a threshold when buyers stop tolerating sky-high prices while having more options to choose from due to an increase in supply, effecting in suppliers scrambling for sales and competing by lowering their prices. Pop goes the bubble.For the disciplined and patient, this is the ideal time to buy a house, not when the market is “hot” and all their peers are buying. Talk about peer-pressure!
Manufacturing Bubble
Similar to the housing bubble, a manufacturing bubble starts when suppliers outperform, in a continuous fashion, their near-term positive outlook for product sales. Due to perpetually validated optimism, their greed and excitement leads them to spend more capital and push production even further which in turn causes oversupply.
Now time moves forward and excess supply becomes “out of fashion” as new, revised products get released into the market, alongside friction from competitor’s products, and perhaps when people have gotten over the hype of a new product category that was introduced into the market. Suppliers are then forced to sell products at a discounted rate to gain back some of the capital invested to manufacture them. This causes a decrease in the return of investment.
“History always repeats itself for those who haven’t learned or are yet to learn from it.” – Anonymous
Bubbles are an an inevitable part of history. Time and time again, having forgotten prudence, people have been tempted into executing ambitious plans based on optimistic projections of tomorrow. The best we can do is to learn from history, or, for the stubborn, shoot ourselves on the foot playing into and being a catalyst of a bubble.


Reports any non-public var that is never updated and could be a val.
var
val
Example:
class Foo { private var s = 0 println(s) }
After the quick-fix is applied:
class Foo { private val s = 0 println(s) }


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We don't prefer to write the hefty of code for translation or load all language files even though it's not required except active language 😋. We fully focus on to provide consistent, mantainable and readable code base feature. All Open Source Packages are good, Here Just to give you a glimpse that how the code is readable and maintainable as comparing with other packages. You are the right person to decide which approach is much cleaner in terms of readability.
Whatever features are providing in other packages those all features are available in the @rxweb/ngx-translate-extension package.
How different this package to ___?
As such there are lots of different features are available, here we are just highlight the available features in the respective packages and how those can be achieved with @rxweb/translate package without writing the much code.
Transloco
- Not compulsory to use 'OnPush' Change detection stratergy.
- Simple Object property is used for binding the multilingual text instead of using the Impure Pipes, Method, Attribute Directive.
- One Time Configuration through out application.
- Zero Multiple package dependency.
- Zero Subscription for Language Change or other necessary things.
- Not required to use '''ng-container''' for resolving multiple translations.
- Template Code is much simple, as there is no need to pass the parameter for translate text interpolation or write the conditional code in the HTML template.
Angular-L10n
- Zero Subscription.
- Pure Pipe works well without passing the Language Code as additional parameter.
- Binds the FormControl Error Messages without using the Pipes.
Angular-I18next
- No need to set the additional configuration on Routes.
- Automatically Format the Text without passing the parameters or formatter name in HTML template.


A breadcrumb implementation that supports dropdowns for each node. The data structure is a tree structure with a single starting node. When the user makes a selection the directive will update the 'path' property of the config object. The directive also watches the 'path' property, allowing you to also set the initial state of the breadcrumbs. Config options are:
TODO - it'd be helpful to make this breadcrumb work with an async config, where the entire tree isn't known up front, see this issue
Example HTML markup
Example JSON configuration object


The SpeX Prism Library Analysis Toolkit
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#include <dr_tools.h>
Data Fields | |
| int | cti_offs |
| app_pc | stub_pc |
| app_pc | target |
| bool | linked |
| int | stub_size |
| union { | |
| uint count32 | |
| uint64 count64 | |
| } | count |
| byte | stub_code [1] |
The format of a stub in a trace dump file.
| union { ... } _tracedump_stub_data::count |
Which field is present depends on the first entry in the file, which indicates the linkcount size.
32-bit exit execution count.
64-bit exit execution count.
Offset from the start of the fragment.
Whether the stub is linked to its target.
| byte _tracedump_stub_data::stub_code[1] |
Code for exit stubs. Only present if: stub_pc < cache_start_pc || stub_pc >= cache_start_pc+code_size). The actual size of the array varies and is indicated by the stub_size field.
Code cache address of the stub.
Length of stub_code array
| app_pc _tracedump_stub_data::target |
Target of the stub.