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22 CFR 219.111 - Notice.
§ 219.111
The agency shall make available to employees, applicants, participants, beneficiaries, and other interested persons such information regarding the provisions of this part and its applicability to the programs or activities conducted by the agency, and make such information available to them in such manner as the head of the agency finds necessary to apprise such persons of the protections against discrimination assured them by section 504 and this regulation.
Title 22 published on 2012-04-01
no entries appear in the Federal Register after this date.
This is a list of United States Code sections, Statutes at Large, Public Laws, and Presidential Documents, which provide rulemaking authority for this CFR Part.
This list is taken from the Parallel Table of Authorities and Rules provided by GPO [Government Printing Office].
It is not guaranteed to be accurate or up-to-date, though we do refresh the database weekly. More limitations on accuracy are described at the GPO site.


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Carney: Spending cuts were never supposed to happen
Idea first came from the White House
As both parties seek to find fault for the largely unwanted spending cuts set to go into effect next week, White House Press Secretary Jay Carney says it's too late to play the blame-game.
"It doesn't matter that Republicans and Democrats voted for it because the whole point was that it wasn't supposed to come to pass," Carney said on CNN's "The Situation Room."
As Congress faced a deadline in the summer of 2011 to extend the Treasury's authority to borrow money to pay the government's bills and avoid defaulting on the national debt, the White House and congressional leaders reached a deal that essentially kicked the can down the road.
Part of the agreement included a measure, known in Washington as the sequester, that would incentivize lawmakers to come up with a deficit-reduction plan or else face $1.2 trillion in government-wide spending cuts over the next decade. The first $85 billion in austerity would be felt through September 30, the end of the current fiscal year.
The idea for automatic broad-based cuts first came from the White House.
"It was simply a way of crafting policy that was so onerous, that would cause cuts that nobody liked--Republicans or Democrats-and ... it would compel Congress to compromise, come together on further deficit-reduction in a balanced way," Carney said.
Because Congress never approved a solution over the next year and a half, the cuts were supposed to hit at the start of January. But lawmakers voted as part of the deal averting the so-called fiscal cliff to defer the spending cuts by two months -- to March 1.
While House Speaker John Boehner took to the Wall Street Journal opinion page this week to place blame squarely on the White House for proposing the idea, Carney said Republicans had plenty of room to blame themselves.
During the third presidential debate last fall, Obama blamed Congress for proposing the spending cuts. But veteran Washington Post reporter and editor Bob Woodward--who literally wrote the book on the 2011 budget deal--says the president was wrong.
The cuts were the "brainchild" of Obama's then-chief of staff, Jack Lew, and White House congressional relations chief Rob Nabors, Woodward wrote in an article published online late Friday.
"Obama personally approved of the plan for Lew and Nabors to propose the sequester to Senate Majority Leader Harry Reid (D-Nev.). They did so at 2:30 p.m. July 27, 2011, according to interviews with two senior White House aides who were directly involved."
Asked by CNN's Wolf Blitzer if it was a blunder to propose the idea in the first place, Carney said: "You're missing the point. Everybody was looking for a way out of this and there were different ways to do it. ... The point is, it wasn't supposed to become policy."
"People like to point out that the idea was first floated by the White House, but let's get real about what happened. On the day that Congress passed the sequester, John Boehner, speaker of the House, told CBS News that he got 98% of what he wanted and that he was very pleased," Carney said.
He added that a strong majority of Republicans in the House-174-voted for the 2011 bill.
The president has called on Congress to avert the sequester by approving a package of spending cuts and tax increases. But Carney said Republicans are not open to compromise.
"They have said they will not go along with a postponement of the sequester if it includes balance, which is preposterous position," he said.
Obama spoke on the phone with Republican leaders, including Boehner and Senate Minority Leader Mitch McConnell, but Carney did not give any further details about those conversations.
Republicans argue they compromised in the fiscal cliff bill by allowing an increase in tax rates for top earners. The real focus, they say, should be on the spending side of the equation, rather than revenues.
"Taxes are off the table," Sen. John Barrasso said Sunday on CNN's "State of the Union."
"The American people need to know tax cuts are off the table and the Republican Party is not in any way going to trade spending cuts for a tax increase."
The senator said there are "much better ways to do these budget cuts," though he did not mention specific proposals.
Copyright 2013 by CNN NewSource. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.

subset: commoncrawl


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When in comes to Opeth, I'm in the rare camp that believes they are in fact a brilliant yet slightly overrated band that's been treading water since, My Arms, Your Hearse; still my favorite Opeth album. I had hoped that the much hyped The Ghost Reveries would have fixed my general apathy towards the band, but I have not listened to that album since 2005 (nor any Opeth other than MAYH for that matter). However, Watershed sees the band once again rise above the masses and deliver an utterly amazing effort that rekindles the creativity and brilliance of their storied early career.
Basically, most folks tend to gush over an Opeth album because it's simply a new Opeth album, but on Watershed, the reason to gush is that it's simply a lucidly wonderful album in its own right, not just another Opeth album, and I'm actually gushing.
I'll warn you right away, the resultant 'return' is not due to a sway back to the band's heavier ways, as to be honest I found Watershed, in its entirety to be the bands 'cleanest' or 'lightest' overall effort, with an almost Damnation like sense of acoustic prevalence at times. But it marks a progression and expansion of the band's signature light/dark textures to heights of sublimely progressive and enveloping ambiance and brilliant musical juxtapositions.
On the light side, amazing acoustic opener "Coil" sets the tone for the album with Åkerfeldt dueting with folk vocalist Nathalie Lorichs to provide one of the most beautiful and elegant acoustic numbers I've heard in years, and highlighting Åkerfeldt's much improved clean vocals. "Burden" sees more (seven minutes worth) of blissful, acoustic proggy-ness and sees Åkerfeldt in an even more somber and introspective mood than usual while the lengthy "Hessian Peel", "Porcelain Heart" and closer "Hex Omega" features in depth and vast forays into ultra proggy and orchestrated, flute and piano laced introspection. Even the likes of "The Lotus Eaters" and "Porcelain Heart" contain extended moments of pristine acoustics weaved into the heavier moments. Not that Opeth have never done that before, but on Watershed they seem so much more integral and interwoven to the entire song rather than a simple mood piece or interlude; just listen to the shifts in "Porcelain Heart"- just stunning.
And speaking of the heavier moments, when Opeth do bring the thunder, they bring it like they have not in many years. For example, second track "Heir Apparent" is about as dense, menacing and atonal as I've ever heard Opeth, and standout track "The Lotus Eaters" even with its bizarre mid song disco shift has blast beats weaving brilliantly with Åkerfeldt's clean and growled vocals. And while the growls and harsher moments are relatively infrequent, they arrive with such well placed timing and artful tenacity, they complete the album's overall prose with a subtle harshness that still offsets the album's far more frequent, extended instrumental and elegant segments.
Ultimately when you hear tracks like "The Lotus Eaters", "Porcelain Heart" and "Hessian Peel", they all have that "Demon of the Fall" vibe of greatness and seminal live favorite feel that's been missing for about a decade now (though admittedly "Ghost of Perdition" came close), that elevates the album into classic territory and a sees Opeth further cement their legacy in the annals of metal artistry.
As one of only two remaining MetalReview.com staffers from the historic Ghost Reveries review, I felt somewhat obligated to offer my two cents on Watershed. I even went back and reread my review of that album. I must say I was a bit surprised at what I had written, probably because I haven't listened to the album much (if at all) since then. At any rate, Watershed – if nothing else – proves to be an appropriate follow-up, although a bit of a puzzling one. Even for Opeth, this seems like a short album – seven tracks clocking in under an hour. For those not enthusiastic about their mellower material, that takes it down to under 40 minutes of quality Opeth. I guess I've become spoiled and just expect them to fill the plastic each time out.
I thought Mikael Akerfeldt to be a bit daft in kicking the album off with the three-minute acoustic "Coil," a feeling compounded by the dirge-like introduction to "Heir Apparent." Things pick up around the 1:20 mark and I start to remember what first attracted me to the band. It's progressive yet heavy, Akerfeldt's growl harkening back to Blackwater Park – although that may be because that is the last album I can remember reacting to. There's even a section at 4:15 (and 4:29) that gives me some serious Emperor flashbacks, bookended by some straight death metal riffs. By contrast, "The Lotus Eater" is more what I remember from Ghost Reveries, with a more progressive feel and a mix of clean/growled vocals.
The first three tracks effectively summarize the ying and the yang of this album. The remaining four tracks can be easily linked back to them. "Burden" is a mellow acoustic track a la "Coil" only with more instrumentation. "Porcelain Heart" continues in the same vein as "The Lotus Eater" – but those first three quieter minutes are a bit of a chore to get through. "Hessian Peel" most closely resembles "Heir Apparent" as it exchanges heavy parts for lighter parts, although it doesn't really pick up until the 5:45 mark. Then for some reason the album ends with the (mostly) instrumental "Hex Omega." Akerfeldt's vocals here barely rise above a whisper, making the track sound like a lullaby in between the sweeping instrumental choruses.
As previously stated, Watershed is an appropriate follow up to Ghost Reveries, even if it is a bit lean on material. It will not change anyone's opinion of the band, so "Opeth Are Gods" camp can continue their battle against the "Opeth Suck Ass" camp. If you don't think I've given an opinion here, consider that a tepid album will elicit a tepid reaction which will result in a tepid review. Basically I'm caught in the middle here – loving the heavy parts but frustrated by the increasing amount of mellow.
9/20/2011 Opeth
The Roundhouse Tapes
11/20/2007 Opeth
Ghost Reveries
8/30/2005 Opeth
Lamentations: Live at the Shepherds Bush Empire 2003 (DVD)
3/24/2004 Opeth
4/22/2003 Opeth


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The Resource Finder has powerful filtering features — check out the tutorial to learn more.
New Resources on Our Site
Today we draw your attention to a couple of short term projects that have been completed and are now visible on our site: Our History and Small Group Resources.
Series: BioLogos's New Comments Policy (2 entries)
Biblical Credibility and Joshua 10: What Does the Text Really Claim?
Once we recognize that no one takes the text literally, and that we have often failed to account for the details in the text regarding the time of day, we can begin anew to try to understand the text as an ancient text rather than as a modern one. As such, we must begin with the idea that the text operates in the world of omens, not the world of physics and astronomy.
What's in the Works at BioLogos
There is no formula for generating beliefs in people. There are plenty of people with access to the same facts who end up believing different things. But for many Christians—like the ones I heard from this week—access to information about the position we call "evolutionary creation" could make a significant difference for reconciling science and Christian faith.
With Charity to All
"…why a man should be hanged, because it has not yet pleased God to give him his spirit, I confess, I am yet to understand. Certainly to think by a halter to let new light into the understanding, or by the tortures of the body to heal the errors of the mind, seems to me like applying a plaister to the heel, to cure a wound in the head; which doth not work upon the seat of the disease…"
Series: Reflections on Reading Genesis 1-3: John Walton's World Tour (3 entries)
Old Testament scholar and BioLogos ECF grantee John H. Walton spent the first seven months of 2013 traveling around the United States and fifteen other countries lecturing on Genesis 1 - 3. In this series, we feature John's reflections on his world tour and the insights he gained from his conversations.
Series: From the Dust (12 entries)
In this series, Ryan Pettey offers several clips from his powerful documentary "From the Dust". This feature-length film is divided up into various sections, each of which wrestles with the difficult problems that arise when reconciling Scripture with the theory of evolution. A light of hope dawns on the science-faith conversation, however, as scientists and theologians engage in honest dialogue about tough issues such as the interpretation of Genesis, the nature of the Fall, and the idea of random design. Their profound insights are sure to enlighten all minds, raise deeper questions, and provoke new thought.
Series: Apologetic Issues in the Old Testament (3 entries)
This series, by Old Testament scholar Richard S. Hess, was first published as an appendix to Christian Apologetics: A Comprehensive Case for Biblical Faith (Downers Grove: IVP Academic; Nottingham: Apollos, 2011).
The Bible, Evolution, and Grace
If your core value is serving God and you believe that anything but a literal interpretation of the Bible is disobedient to God, you can't hear any of the scientific arguments, and that was the way it was with me. Until I dealt with the loyalty question, I could not proceed to the science.
Breaking Away from a False Dilemma
With a high-school level understanding of science and theology, I was convinced by this "either-or" argument and, to my knowledge, became the first Young Earth Creationist in my local Nazarene church. I knew the enemy and the enemy had a name. It was Evolution.
Beethoven Symphony
These commercials were produced by Ryan Pettey of Satellite Pictures and feature BioLogos Senior Scholar Jeff Schloss, philosopher Alister McGrath, and theologian NT Wright. They're a great introduction to our work here at BioLogos.
Mightily Hands On
These commercials were produced by Ryan Pettey of Satellite Pictures and feature BioLogos Senior Scholar Jeff Schloss, philosopher Alister McGrath, and theologian NT Wright. They're a great introduction to our work here at BioLogos.
Introducing Our New BioLogos Commercials
We're pleased to introduce the first official commercials for BioLogos, produced by Ryan Pettey of Satellite Pictures and featuring BioLogos vice president Jeff Schloss, philosopher Alister McGrath, and theologian NT Wright.
Comparing Interpretations of Genesis 1
For concordists, the temptation is to interpret every Bible verse to match the current scientific picture. For non-concordists, the temptation is to interpret every Bible verse that appears to disagree with science as figurative.
Infographic: "In the Pipeline" for Our Evolution & Christian Faith Grant Program
Last month, we announced the 37 grantees from our Evolution & Christian Faith program! This month, we take a closer look at the projects and what's "in the pipeline" over the coming years from these grantees!
Take Scripture Seriously
I had spent so much time using the Bible as evidence to prove my point that I hadn't bothered to consider its intended purpose. It was as if I had been given a nice new pair of shoes, but instead of wearing them and letting them take me where I needed to go, I had been using them to kill bugs, prop open doors, and fix wobbly table legs.
Evolution and Christian Faith Grantees Announced
Congratulations to the 37 winners of the Evolution & Christian Faith (ECF) grants competition! ECF is a new BioLogos program designed to support projects and network-building among scholars, church leaders, and parachurch organizations.
Dissonance and Harmony
People hold clearly discordant points of view, and it would be dishonest to ignore the conflict. Yet some voices emphasize the dissonance without any note of harmony to put it in context. Too often, science and faith becomes a hostile battle of worldviews, sounding angry, dissonant chords even among fellow Christians. But civil, gracious dialogue is possible.
New Leadership for The BioLogos Foundation
With great pleasure, the Board of Directors of The BioLogos Foundation announces the appointment of Deborah Haarsma to become our next President, and of Jeffrey Schloss to the role of Senior Scholar. Professor Haarsma assumes leadership from our outgoing President Darrel Falk, to whom we owe a tremendous debt of gratitude.


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Kitty O'Neal anchors the highly rated and award winning KFBK Afternoon News from 4 to 7 pm, a show she has hosted for 19 years. She is also KFBK's Lifestyle Editor and provides news updates and feature reports throughout the day. She has had many coveted news assignments including covering a Presidential inauguration, the Grammy Awards, and 20 Academy Award ceremonies.
Now in her 26th year with KFBK, Kitty has served in various capacities, including producing talk shows for KFBK and serving as News Director for seven years on sister station KGBY-FM.
Kitty's television credits include three years on KOVR 13 as entertainment reporter and host of the weekly real estate show Home TV, which ran for ten years. She also appears in many commercials, videos and national programs, including a CBS TV miniseries and the A&E Channel's Biography.
Kitty donates much of her time and talent to community events and charitable organizations. She also has been featured in numerous articles for local newspapers and publications and has appeared three times on the cover of Sacramento Magazine. Since 2001, the readers of that magazine have annually voted Kitty the Best Afternoon Drive Radio Personality in Sacramento.
Before her media work, Kitty sang professionally in a touring musical group and continues to perform today. She graduated with Honors from California State University, Sacramento and has her BA Degree in Communication Studies.
She is married to Kurt Spataro, an Executive Chef and Restaurateur and are partners in several Sacramento area restaurants including Spataro and Esquire Grill.
Kitty is passionate about animals, especially felines, and she and Kurt have several cats.
Kitty is an avid traveler, and designs and sews clothing for herself when she has time. She and Kurt have lived in the Curtis Park neighborhood of Sacramento for 21 years.
Meet Sandy,
Sweet, older cat looking for a home! Sandy is about seven-years-old, making her mature, good-natured and ready to be a lap buddy for you!
Sandy is fairly petite girl who came from a home with other dogs and cats, so she is great at making new friends. She will make a great addition to any family, come meet her at the Sacramento SPCA!
Also, don't forget... all adult cats are just $5 on Friday (AND we have snuck in another promotion on Thursdays, all animals are just $30!)
Hear Lana's movie reviews on KFBK Fridays at 6:40 pm
Rock Hill Winery stopped by to promote Holiday in the Hills benefiting Toys for Tots on Friday 12/13/13
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Gov. John Hickenlooper, a Democrat, became the latest governor to call for more gun regulations as he reflected on last year's deadly movie theater shooting in his state and said Coloradans "have an obligation to prevent similar tragedies."
As the heated debate continues over firearms following the Newtown elementary school massacre, Hickenlooper told elected officials Thursday in his State of the State address that "our democracy demands this type of debate."
He then made his own proposal.
"Let me prime the pump: Why don't we have universal background checks for all gun sales," he said, prompting a long standing ovation from the crowd of state lawmakers and law enforcement workers. Federal law exempts gun purchasers from undergoing background checks during private transactions, including at gun shows.
Hickenlooper's recent comments on gun control represent a notably different tune than the one he had following the Aurora movie theater rampage last summer, which left 12 dead and dozens wounded. Back then, the governor said the timing was not right to talk about guns, emphasizing a need for space so victims and their families could grieve.
But in December, shortly after a fatal shooting at an Oregon mall and just before the Newtown, Connecticut killings, Hickenlooper began to express openness toward a discussion on gun control. And now he's calling for changes in legislation.
"Surely Second Amendment advocates and gun control supporters can find common ground in this proposition: Let's examine our laws and make the changes needed to keep guns out of the hands of dangerous people," he said.
However, the first-term governor said it's "not enough" to focus solely on weapons. He also requested support for a "comprehensive overhaul" of the state's mental health system that will "make it easer to identify people with mental illness who are a danger to themselves and others."
His comments came one day after New York Gov. Andrew Cuomo, a fellow Democrat, called for the state to pass the toughest gun laws in the country. Democratic Gov. Dan Malloy of Connecticut also urged changes in gun laws in his State of the State address Wednesday.
"When it comes to preventing future acts of violence in our schools, let me say this: more guns are not the answer," Malloy said.
Furthermore, Vice President Joe Biden is holding meetings this week with groups from both the pro- and anti-gun movements and pledged to give his recommendations to prevent gun violence to President Barack Obama by Tuesday.


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Jon Marx
City: Warwick
Country: United Kingdom
Member Since: 06/4/2007
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- JEFF PRESTRIDGE A pig-headed mess fails us all on savings
- AUTUMN STATEMENT 2013 IN BRIEF The key points of George Osborne's speech at a glance.
- I have four days holiday left. Can I make my boss let me carry them over? I will not be able to take them because we are so busy
- Why did the value of my pension suddenly drop from £112,500 to just £84,400? Why such a wild drop?
- The best fixed rate energy deals All the winter price hikes are in, so is it time to switch?
- Six of the most economical family cars money can buy True MPG figures reveal Seat Leon is cheapest to run
- Quarter of a million tenants withhold rent as punishment for taking too long to make urgent repairs But are they breaking the law?
- Accidental landlords hit harder than the oligarchs Capital gains tax break halved but overseas owners get breathing space
- West Brom scores with new smaller deposit rates Two-year fixed rate mortgages as low as 2.79%
- Buy a £250k home and get hit with a stamp duty bill designed for an £800k one Will George Osborne dare fix this mess, asks Simon Lambert.
- Fix your mortgage for five years at just 4.29% with only a 10% deposit Post Office takes aim at first-time buyers
- Aldermore joins Help to Buy scheme and will allow remortgages The new entrant confirms its challenge


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This large 48 rai plot of raised beachfront land, overlooking Pranburi's spectacular Pak-Nam-Pran beach also enjoys beautiful mountain views of Khao-Kaloak Forest Park. Within easy reach of the heart of Hua-Hin, it only takes 25 minutes and on arrival, you are greeted by a spectacular 80 meters of superb, unobstructed beach frontage. With 3 sides of public road access, the development possibilities are unlimited given its 360+ meter depth. Located near famous international resorts such as Evason, Six Senses and Aleenta, the land is definitely priced to sell at only THB 8.0 million per rai for the entire plot. However, the owner is willing to consider separating into smaller plots at a negotiated price.
Near Avason & Six Sense resort And Pran-A Luxe project Tambol Paknampran Pranburi district, PrachaupKirikhan
K P Interrealty Co.,Ltd a(z) ENGEL & VOELKERS Asia-Pacific Ltd. licenc partnere


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The first wave of neural network trading applications formed during the 1990s, and then crested and crashed as the Internet stock bubble burst. Neural network applications in trading research really dropped during the first half of the 2000s. Few good research papers were published during this period. Even today, the tools remain relatively out of favor, with the exception being support vector machine algorithms vs. the back-propagation and radial-net that were popular during the first wave.
The early approach was to train models over static sets of data and out-of-sample periods. In addition, many of the early neural network models were adapted from time series forecasting methods or classic signal processing, and did not draw on deep domain knowledge of financial markets. Because so many models were developed, some of the models had to seem like they worked just due to chance.
Problems & enablers
Developers of market models face two related problems:
- Many data series are not stationary, lacking a constant mean. A requirement for stationarity needs to be addressed with preprocessing.
- Regime change. A set of model inputs works for one regime but not another, so a system or set of inputs might work for six months to a year or more and then fail.
Statistical procedures such as the Augmented Dickey Fuller and Phillips Perron tests can detect if a time series is stationary. If we know a time series is not stationary, we can try to make it so through preprocessing. Methods include taking first and second differences of the time series. In addition, current development can use walk-forward technology to see if model stability is retained on different data sets and represents stable relationships.
Today, sponsors of predictive model development recognize how important domain expertise is and how neural nets are better utilized as only part of the solution.
Here, we will demonstrate this approach by first providing an overview of a classic time series forecasting method, Box-Jenkins, for historical perspective. We will then reuse some of the concepts when we implement our final neural network models. Along the way, we will find that identical terms are used differently in trading and forecasting. To minimize confusion, these terms will be identified.
Box-Jenkins models
Among the most popular time series forecasting methods that also have been used for financial time series are Box-Jenkins models, also known as ARIMA models.
Many academic papers discuss the use of Box-Jenkins as a method for market time series forecasting, from papers in the early 1990s on the S&P 500 to relatively recent studies, such as the 2008 effort, "Comparing the performance of time series models for forecasting exchange rates," BRAC University Journal, vol. V no 2, 2008, 55-65, by M.K Newaz. The researcher compares various classic time series models on the India rupee, including the ARIMA models, and finds that ARIMA performs well. Newaz finds that the first difference of the rupee series, not the series itself, is stationary.
ARIMA stands for Autoregressive Integrated-Moving-Average. The "integrated" indicates that the time series is transformed into a stationary series. The "auto" means the transformed series is self-referential. ARIMA represents three different types of models:
- AR, autoregressive
- MA, moving average
- ARMA, both AR and MA in the same model
An AR model is like a simple linear regression model, except that the independent variables are, in practice, time-lagged versions of the dependent variable, time series itself; thus, it is autoregressive. An autoregressive model can have multiple terms and be either linear or nonlinear.
An MA model is a weighted moving average of a fixed number of previously produced forecast errors. Traders expect a moving average to be of the series itself, such as an average of closing prices, but the average in this case is of forecast errors. The term is conceptually used identically across trading and forecasting, but the application differs. The average error is used to correct the error of the regressive model.
Box-Jenkins models are univariate, based on a single time series. The model establishes a relationship between present and past values of the series so the past values can then be used in forecasting. These models require stationary series. Even though Box-Jenkins has been used in many studies to forecast market data, the method is not totally suitable because market data are not stationary and do not have a normal distribution.
Proess overview
Developing a Box-Jenkins model requires four steps:
- Model identification
- Model estimation
- Diagnostic checking
- Forecasting
The last three steps are similar to those for linear regression, such as the use of the Pearson correlation coefficient and the t-statistic, so we omit them here on the assumption that they are familiar to most readers (and available for review in any basic statistics text, if necessary). The first step in developing a Box-Jenkins model, however, requires the judicious use of discretion based on domain expertise.
To develop a model, we must identify the proper form — AR, MA or ARMA — and how many terms are needed. We answer these questions with autocorrelation functions of the series, the autocorrelation function (ACF) and the partial autocorrelation function (PACF).
ACF and PACF are like classic correlation functions, with values from -1.00 to 1.00 if the time series is stationary. In an exception to the classic definition, PACF uses lagged values of the time series itself for the independent variable.
When the regression includes only one independent variable of one-period lag, the coefficient of the independent variable is called a first-order partial autocorrelation function. If a second term of two-period lag is added, the coefficient of the second term is called a second-order partial autocorrelation function, and so on.
To identify an appropriate model, we plot the ACF and PACF in a correlogram for a good visual indication of our model. The pattern in the ACF and the quantity of spikes in the PACF tell us how many terms we need. If the ACF lag correlation fades quickly and the PACF has only one spike, then we use an AR of the first order.
One reason that Box-Jenkins is important is that early work for predicting market data used neural networks in the methodological place of Box-Jenkins. Comparisons showed neural network models, like back-propagation or kernel regression, performed as well or better than Box-Jenkins. Box-Jenkins uses only the price data itself, but neural networks can include truly independent variables, such as intermarket relationships, fundamental data, etc. The ability to use truly independent series makes neural networks and kernel regression more powerful for forecasting market data.
The computer speed and software available today expand how we can use neural networks and kernel regression. We can use them for models that trade at the portfolio level because software like TradersStudio offers neural network technology within a strong portfolio-based trading platform. Increases in computer speed make these solutions feasible. TradersStudio also offers advance handling for splits and dividends of equities. As a result we can, using neural networks, trade stocks, exchange-traded funds and mutual funds using baskets of instruments, and can trade futures portfolio systems, in addition to developing single-market systems such as those for the S&P 500.
Market data effects
What we trade largely affects how we preprocess the data. Stated generally, the kind of data we use greatly affects the design of the preprocessing for our models and the outputs that we predict.
Many classic preprocessing methods use percentage changes to normalize price changes, but if we use back-adjusted futures data, we cannot use ratios. This create a problem. Back-adjusting destroys price levels by adjusting out contract roll gaps. Range is not distorted in back-adjusted contracts, so if we use range to normalize attributes such as (Close-Close[10])/Average(range,10), we're OK.
If we want to use more classic ratios, we need to use ratio-adjusted futures contracts, cash series or index data. If we are using data for ETFs, mutual funds or stocks, then split-adjusted data work fine because split-adjusted data are logically analogous to ratio-adjusted future contracts.
Inputs, such as unemployment numbers and inflation gauges, require longer bar time frames (for example, monthly). We need to normalize the release date so that monthly data sum correctly. The easiest way is to use the last trading day of the month regardless of when in the month the data actually were released. If we are using daily or weekly data, we can use the released date to predict shorter-term trends.
Noise also affects preprocessing. We need to design preprocessing for a monthly or weekly model differently than what we would do for daily or intraday data. For example, price changes might readily be predictable on a weekly time frame, hardly predictable on a daily time frame, and unfathomable with intraday bars. You need to develop different types of targets based on the time frame being predicted.
The types of markets that we trade also affect our predictions. Currencies trend, stock indexes traverse a mean and other markets are choppy and noisy.
Input & output training
Preprocessing of data simplifies relationships between the input preprocessing and our desired target. The goal of preprocessing is to make these relationships clear enough that the neural network or kernel regression algorithm can model them. Modeling is not as easy as it sounds for neural nets. Not only do we need preprocessing, which makes these relationships clear, but the distribution of outcomes affects how well the neural network will train. When we use these algorithms, we need to scale the data before we pass that data to the algorithm.
Let's look at back-propagation. Its two most common activation functions are the sigmoid, which scales from 0 to 1, and the hyperbolic tangent, which scales from -1 to 1.
- Sigmoid: S(t)=1/(1+e-t)
- Hyperbolic tangent: Tanh(Z)= eZ-e-Z/eZ+e-Z
Saturation & clipping
When developing preprocessing for networks with either type of activation function, we have a problem if the bulk of the examples are above the saturation point. Both sigmoid and hyperbolic tangent saturate to -1,-1 (TanH at values of +/- 2.5 and sigmoid at values +/- 5.0) so it's important to look at the scaling when we are developing preprocessing. See "Logistic curve" and "Hyperbolic tangent curve" (below). Saturation easily can occur because market data do not normally have a zero mean. We want 90%-95% of the data to be in the linear part of these functions because learning does not take place for values in the saturation range. For both cases of activation functions, values below a given threshold produce a response proportional to the input value. The output response is clipped: Between 0 and 1 for the sigmoid output for inputs between -1 and 1. Input values between -5 and 5 are clipped for the hyperbolic tangent.
As a result, if the financial data are used without preprocessing and have an average offset and volatility so most of the time series is outside the clipping range, the input neuron is pinned at the maximum or minimum value, and the data can serve no purpose in training the network. The output data from a back-propagation network are obtained from the output of these simulated neurons as well and, as such, are limited in range. If data for which the network is being trained to produce are outside the clipping range, the network never accurately reproduces results and the best training is likely to be a random choice among equally bad networks.
Avoiding saturation
The solution to these difficulties is to transform, or scale, the data. The two-part purpose of the data transformation is:
- For all the input values used to train the network, the data are in the linear portion of the activation function, where changes in the input values produce meaningful changes in the input neuron response.
- Output training data lie in the range allowed by the type of output neurons, so the network accurately matches the unscaled training data.
In summary, the forecast process is:
- Start with real-world data.
- Scale that data to the clipping range of the activation function.
- The model produces scaled outputs.
- "De-scale" the outputs to real-world forecast data.
For simplicity, scaling is done linearly by removing a constant offset from the original price data and then multiplying the result by a scale factor so the volatility of the scaled data is within the allowed clipping range for the activation function.
One way to choose the scaling factor is to determine the maximum and minimum values of the input data and to choose the offset and scale factor so that the minimum–maximum range exactly fits the input range for the input training data and the neuron output range for the output training data.
A drawback of this type of scaling is that it can be inordinately influenced by a small number of outlier events, in which the financial data exhibit large swings that are better ignored by the network.
To address the problem of outlier events, an improved scaling method is as follows:
- Evaluate the statistical mean and standard deviation for the input and output training data.
- Use the calculated average as the offset to remove from the data.
- Scale the data so that the standard deviation fits the allowed input and output ranges of the network.
Once a network is trained with scaled data, it is important to scale the input data when the network is used as a predictor, and to apply the inverse of the output scaling on the prediction value from the network, to use the network in trading.
The radial basis function algorithms and the kernel regression methods require the input and output training data to be scaled. The best practice is to transform each input data feature, and the output data being modeled, so that the final scaled data are centered on zero and have fluctuations of approximately unit magnitude. Choices that the analyst makes to meet this requirement determine how important the outlier financial values are to training the network algorithm. Domain expertise is crucial to the correct choices.
Support vector machines
Many artificial intelligence solutions like classic neural networks, either back-propagation networks or radial nets, begin with random weights at the start of trading. We then keep retraining from different starting points. Genetic algorithms begin the same way, with a random population.
In the hands of a skilled analyst, these approaches can work well, but they create a problem: It's difficult to duplicate results. Training results do not match over multiple training sessions, defeating the scientific method and making traders uncomfortable.
As a solution built on linear algebra, kernel regression enables duplication of outputs. For the same input parameters and preprocessed data, it always produces the same results. But kernel regression typically loses robustness quickly with too many inputs. A good rule of thumb is use fewer than 15 inputs, preferably fewer than 10. With smart design and domain expertise, a limited number of inputs is a strength, not a weakness, in system development.
Kernel regression is a support vector machine (SVM) algorithm. An SVM constructs an n-dimensional space that separates the data into different classifications. SVM models are closely related to neural network models: A sigmoid kernel function is equivalent to what can be done with a two-layer feed-forward neural network.
Using a kernel function, SVMs are an alternate training method for polynomial, radial-basis functions and multi-layer perception classifiers. Rather than solving a non-convex, unconstrained minimization problem, as in standard neural network training, the weights of the network are found by solving a quadratic programming problem with linear constraints.
A two-dimensional example helps to visualize the SVM concept. Assume that our data have a target variable with two categories, and assume two predictor variables with continuous values. If we plot the data points using the value of one predictor on the x-axis and the other on the y-axis, we might produce a recognizable shape. Rectangles represent one category of the target variable, while the other category is represented by ovals. In this idealized example, the cases with one category are in the lower left corner. Cases with the other category are in the upper right corner. The cases are completely separated.
SVM analysis attempts to find a one-dimensional hyperplane, the line separating the cases based on their target categories. An infinite number of possible lines to separate the categories exists. Two candidate lines appear in "Hyperplane alternatives" (below). We need to determine which line is a better divider.
SVMs are described as having attributes. A transformed attribute that is used to define a hyperplane is called a feature. A set of features that describes one case, a row of predictor values, is called a vector.
The goal of SVM modeling is to find the optimal hyperplane that separates clusters of vectors so that cases with one category of the target variable are on one side of the plane and cases with the other category are on the other side of the plane. The vectors that are near the hyperplane are the support vectors.
The parallel dashed lines mark the distance between the dividing line and the vectors closest to the line. The distance between the dashed lines is called the margin. The vectors (points) that constrain the width of the margin are the support vectors. An SVM analysis orients the line to maximize the margin between the support vectors. In "Hyperplane alternatives" the line in the right panel is superior to the line in the left panel.
When good lines go bad
If all analyses consisted of two-category target variables with two-predictor variables and clusters of points that could be divided by a straight line, life would be easy. Unfortunately, this is not the case.
What if your data points are nonlinear and, thus, cannot be separated with a straight line? Rather than fitting nonlinear curves to the data, a SVM model separates the data by using a kernel function to map it into a different space where a hyperplane can separate it.
The concept of a kernel mapping function is powerful. It enables SVM models to separate data with complex boundaries. Visually, the kernel regression method finds a surface in a higher dimensional space that passes as much of the input data as possible.
Many kernel mapping functions can be used — probably an infinite number. However, few kernel functions work well in a wide variety of applications. The default and recommended kernel function is the radial basis function.
RBF uses two variables conventionally labeled as C (cost) and Γ (for curvature, pronounced as the Greek gamma). The Γ parameter determines how curved or convoluted the surface is allowed to be. A value of zero for Γ corresponds to a flat or planar surface, while higher (positive) Γ values allow the surface to make tighter bends in the higher dimensional space. When the input data are scaled to have typical fluctuations in the -1 to +1 range, the best Γ values are in the range 0 to 1.
The C parameter determines how closely the kernelly regressed surface attempts to match the training set data. A large value of C forces the algorithm to attempt to fit each training set. A smaller value allows the surface to miss some outliers, possibly improving the overall predictive value of the surface.
The analyst does not know beforehand which C or Γ is the best solution to the problem. Determining the best values of C and Γ is an empirical question to be answered by fitting the kernel regression for a range of parameters and by choosing the best set of C and Γ by evaluating a quality-of-fit factor for each set.
The goal is to identify good C, Γ pair so the classifier can accurately predict unknown data, the training data. A common approach is to separate training data into two parts, one considered unknown in the training of the classifier. The prediction accuracy on this particular set more precisely suggests the performance on classifying unknown data.
An improved version of this procedure is known as cross-validation. Cross-validation prevents over-fitting. In v-fold cross-validation, the analyst divides the training set into v subsets (folds) of equal size. Sequentially, one fold is tested using the classifier trained on the remaining v-1 folds. We use each instance of the whole training set in predicting the cross-validation accuracy, which is expressed with the mean squared error.
A grid search determines C and Γ using cross-validation. Pairs of C and Γ are tried and the pair with the best cross-validation accuracy is selected. Exponentially growing sequences of C and Γ is a practical method to identify good parameters.
Developing trading systems
The key to developing reliable and intelligent trading strategies using neural network or kernel regression is to integrate these technologies with already profitable trading strategies, rather than to expect the neural or kernel model to be everything.
Efforts from the 1990s use dual- or triple-moving-average crossovers. We now can use intelligent neural or kernel technology to predict such crossovers early. It's often possible to decrease lag by predicting up to 30% of the period of the shorter moving average. We want to find robust moving average parameters with only slight degrades, being a few bars late but capturing bigger profits by predicting a few bars early. When we have this type of modeling technology, predicting the crossovers can be effective.
Another trend-following strategy is to predict price highs or lows within a window. If the market breaks out of that window, you take the trade as a neurally assisted channel breakout.
An interesting strategy is to look at both positive and negative price excursion, buying when positive excursion is double the negative excursion and selling when negative excursion is double the positive excursion.
Or, assume we want to develop a stock trading model. We can combine fundamental and technical analysis with a target, such as relative strength of a given stock to the S&P 500, and use the combination as a stock-selection method.
Yet another strategy is to predict when the technical model fails: For example, to predict when not to follow the signals generated by an intermarket model, or when to exit a trade of an intermarket system.
In our final article in this series, we will develop one or more case studies of a real trading strategy using neural networks or kernel regression.


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Aug 08, 2013 EbenGregory News 1
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I am a DREAMER...well almost...
| Anonymous
Meet Gabriela. A DREAMER... well almost... She missed the age-at entry requirement by a couple of months.
After reading her story, don't you think she more than deserves a shot too?
"I, Gabriela Monico, hereby declare as follows: My name is Gabriela Monico. I am a resident of California. I was born in San Salvador, El Salvador. I came to the United States in November 2005 on…
Done Dreaming
| Esmy Jimenez
My name is Esmy Jimenez. I was raised in a small town in Washington State known for agriculture and friendly people. I graduated from the local high school as the Senior Class President. I was in National Honor Society and enrolled in all the AP classes my school provided. I even ran on the cross country team and (attempted) to play tennis. On weekends I worked for a catering company… -
No Papers Necessary.
| Anonymous
My name is Pat. My first "American" family member got to these shores in 1621. His name is William Claiborne and there is a plaque dedicated to him in the church at Jamestown. However, the other half of my family is Irish. The Irish side of my family, while I am not certain, very likely arrived here without any papers since they fled here during the famine. So, in…
I am an American, but I live in the shadows...
| Anonymous
In 1998, I met my immigrant husband in Chicago while I was in AmeriCorps and going to school. By that time, he had been in the US for almost 10 years--he had earned his GED, learned English, and moved up from his original position as dishwasher to become a kitchen manager. We fell in love. In 2002, we got married in his hometown in Mexico. We were told that petitioning… -
I Teach Americans. So What?
| Anonymous
While sitting at a scholarship pageant, I remember how an idyllic teenage girl explained that her dream was to become a teacher. I was a cynical teen in those days and so I rolled my eyes as her sweet, but very breathy voice tinkled the words, "I believe the children are our future. Teach them well and let them lead the way." I had to chew on the sides of… -
Defining American is defining yourself
| Anonymous
My name is Czarina Trinidad and I define American not as a citizenship or form of paper, but a way of life and a mindset to embrace all the abundant opportunities America has to offer to all who believes in achieving their dreams by working harder and becoming better. I define American as defining yourself as a valuable contributor to the freedom that America is proudly made of - and… -
Deporting the American Dream
| Nancy Landa
Nancy Landa is an immigrant from Mexico who lived in Los Angeles for 19 years from the age of nine and became the first college graduate in her family. After Nancy graduated, she continued to be a productive citizen and dedicated her professional life to public service with her work with community organizations. She paid her taxes, become civically involved and encouraged others to do the same. As an undergrad… -
From Colombia to the United States Congress
| Cesar Henao
In 1986, Cesar Henao was only eight years old and living in a small, Colombian town called Pereira, in the Andes Mountains. At the time, Colombia was marked with pockets of extreme violence, culminating in the assassination of four presidential candidates during the 1990 election. Colombia was quickly turning into a hotbed of civil war, dominated by drug cartels. Within the neighborhood of Barrio Kennedy, he was raised by a… -
Growing up American
| Anonymous
I share your sentiments Jose because I too have lived your journey. I came to New York at the age of 15 and lived there undocumented until I was 32 years old. I did everything American children were doing. I enrolled in high school and did well. I went to college and earned an AA and BA. I worked and worked very hard and never asked for any handouts. I… -
My Dreamer and I
| Anonymous
I met the love of my life in high school. We both played soccer and excelled at school. After he graduated he had plans to go to college and become an engineer. He even had a full ride to a major university! That was all taken away from him when officials discovered he was undocumented. Maybe that was the best thing though, because shortly after we started dating in November… -
Sen. Harry Reid Defines American
| Anonymous
Senate Majority Leaders Harry Reid of Nevada describes what he thinks of when asked to define "American": "My wife's father: born in Russia. My mother in law – extraction: Lithuanian. My grandmother from England. So when we hear all this talk about immigration, and it's not good for the country, well, it's been good for me. And I think it's good for the country... it sets us apart from any… -
The American Dream
| Anonymous
I truly believe in the American Dream and I've spent most of my adult life working for America. I was born here, served in the military and became disabled, became an immigration officer and worked for FEMA. When I was an immigration officer, I thought a lot about what it meant to me to be a citizen. Most of us take it for granted. We were born here and we… -
American, Americans
| Anonymous
I, like many children of the baby boomer generation were part of a great assimilation experiment; we were taught to speak only English and punished if we spoke Spanish or any other language in school. Consequently growing up in Denver Colorado became a confusing experience. At home my parents spoke English and Spanish, listened to music by Frank Sinatra, Perry Come and the Trio Los Panchos. We ate tortillas, beans… -
Eliana Defines American
| Anonymous
Eliana defines American and says "you can't really pin point what makes and American." -
Megan Defines American
| Anonymous
Megan, a student at University of Alabama in Birmingham, defines American. She is an American citizen. -
Went to College, got my BA, volunteered in the community, working on MBA and under Deportation Proceedings
| Anonymous
Garden Grove, CA 11/16/11 Greetings, my name is Victor Escobar and I am a 'DREAMer'. I have lived in the US since age 13, I am now 24. I have gone to Junior High, High School, Junior College, and College. I graduated with a 3.5 GPA in Pre-Law from Chico State University in 2009. My goal was to attend law school after graduation but was prevented due to my legal… -
The Lives of Real Americans
| Anonymous
Being an American is taking pride in your country whether you have live in America your whole life or not. An American is proud to be here and doesn't feel they belong anywhere else. A proper American would put there knowledge 100% in to their daily life. I feel the statement American covers both South and North America. -
My America
| Anonymous
MY DEFINITION OF AMERICA My mother brought me to America when I was in my teens, she wanted a better a life for me, more opportunities to succeed without repression. My husband's ancestors came from Ireland and Italy. My grandmother always used to tell me, "Mija (child) cuando the vallas a los New Yores, (when you leave to New York) you are going to see wonders! There the buildings are… -
Life is Not Fair so Appreciate What You Have
| Anonymous
It was on my 14th birthday that we left Canada for a new life in the United States. My parents were not the kind to plan and do things by the book so we simply entered the US as tourists, driving across the border with the bare minimum of necessities so as not to arouse suspicion. Our belongings were scattered amongst several cars driven by friends and family who we… -
22 Years
| Anonymous
I arrive to California at the age of 14, I was afraid.. It was a nightmare I was rape, while crossing I had no clue of what was going on. I made it over the border after a couple months I was enrolled in school, thanks to a lovely Woman name Shelly; thanks to her I Finnish high school. Enrolled in college finish all my education while working two jobs,… -
Teaching While Undocumented
| Anonymous
January 2011 "When was the last time you visited México?" I feel my body tense up when I hear my coworker's question. I normally enjoy our lunchtime teacher conversations, but not when I have to evade questions like these. "It's been a long time… years." I play it off. "Oh, I bet you miss it. You should try going this summer!" suggests another teacher. "Yea, if I don't teach summer… -
Love Without Borders
| Anonymous
On December 31st 2006, at 11:59 PM I received a phone call from a boy. A boy who asked me to be his girlfriend. At the time I, Ashley Sims, was in my sophomore year of high school and the boy, Michael Pecina, was also in his. This is our story. I remember dropping the phone and running down the hallway of my best friend's house yelling at the top… -
A hard choice
| Anonymous
Four generations ago two German brothers Ernest and Herman, 15 and 17 years old, left everything they knew and everyone they loved in order to avoid the draft of the Germa army, and to find a better life in America. They stowed away on a ship, trekked across the country and then in 1893 took part in the largest land run in history. This sounds like a book or movie,… -
A Matter of Faith
| Anonymous
My mother came here with $5 in her pocket. She believed that through hardwork, sacrifice, and a commitment to personal responsibility she would succeed. Everyday she wakes up at 5 am and abides by those values, sometimes working two jobs to make ends meet and to provide a good education to me and my younger sister. After five years of separation, my mom decided that it was time for me… -
Defining American
| Anonymous
If I got technical, I'd have to say an American is anyone born in the United States, Mexico, North, Central or South America. My history teacher in High School back in the late 80's told me that "my people" needed to wake up. I did not idetify myself as "those people" I felt I was "AMERICAN" and had nothing to worry about when it came to immirgation or it's laws.… -
Working for the Dream Act as an American Citizen
| Anonymous
my story; I am an American Citizen who worked for many months to help get the California Dream Act passed. I believe the "fence" needs to be redesigned to allow those who want to give their talents to America the chance to. Children should remain with their parents; and parents should be allowed to watch their children give back to what was given to them. If we, as a country,… -
Passport to Heaven
| Anonymous
Everyone has a story and It seems like I have two- the real one and the superficial one. My story is lived by 2 million Americans- well, not so American. I am 24 years old and have been residing in the United States illegally since I was 8. This fact has shaped the way I have lived my life, but not the way I have dreamed about it. When I… -
Victor Defines American
| Anonymous
Victor is 19 years old and lives in the suburb of Birmingham, Alabama. He moved to the U.S. from Mexico 13 years ago when he was 6. Victor wants to be a history teacher. -
Northwest Yeshiva High School Defines American
| Anonymous
With my juniors, I'm teaching American Literature, and I realized very early on that I can't teach American Literature without getting to the heart of what that word "American" means. We did an exercise where I asked them what does it mean to be American. So if we stop being everybody, and we start being everybody except "blank," especially if "blank" is a particular shade of person, I think we… -
Julie Erfle: What Makes Us American
| Anonymous
After my husband's death, many had hoped that I, a white, middle class woman, would heed the call for punitive and enforcement-only immigration policies. But that's a band-aid. One that fails to address the underlying problems, or offer any type of long term solutions. Instead it creates a wedge issue, one that encourages division, and fear, and myths, and shuts down the very dialogue that could bring about solutions. I… -
Chris Weitz - How I Define American
| Anonymous
I don't define American by a bloodline that reaches back to the Mayflower. The way that I define American is by being aware of the hard work that people have done to make this country great, understanding that I have not achieved success on my own, that the highways that I drive on, the house that I live in, the food that I eat is brought to me by people… -
Reshma Saujani Defines American
| Anonymous
Reshma Saujani is an Indian-American lawyer and political entrepreneur. She was the first Indian-American woman (and the first South Asian American woman) to run for Congress. -
Benjamin Patton Defines American
| Anonymous
Benjamin Patton is the grandson of World War II's General George S. Patton Jr.and son of Major General George S Patton. This is how Benjamin defines American -
Russell Simmons Defines American
| Anonymous
USA Today recently named Russell Simmons one of the Top 25 Most Influential People of the Past 25 Years, honored for his groundbreaking vision that has influenced music, fashion, finance, television and film, as well as the face of modern philanthropy. He has been instrumental in bringing the powerful influence of hip-hop culture to every facet of business and media since its inception in the late 1970s. This is how… -
How Jose Defines American
| Anonymous
I define American as someone who works hard ...who's proud of this country and wants to contribute. ...who's not a burden on anyone. -
National Immigration Integration Conference Defines American
| Anonymous
Participants at the National Immigration Integration Conference Define American -
John Maeda: What it Means to be an American
| Anonymous
John Maeda is the president of the Rhode Island School of Design. He is a Japanese-American author, graphic designer, computer scientist, university professor, and was named one of the 21 most important people in the 21st century by Esquire magazine. His work in design and technology explores the area where the two fields merge. This is how he sees what it means to be an American. -
@Digiphile on America, Shared Values, and Immigration
| Anonymous
Alexander B. Howard is the Government 2.0 Correspondent for O'Reilly Media, where he reports on technology, open government and online civics. These are his thoughts on America, shared values, and immigration -
Sen. Michael Bennet (CO) shares his definition of "American"
| Anonymous
Senator Michael Bennett (CO) is is an American businessman, lawyer, and politician. He is currently the junior United States Senator from Colorado, and a member of the Democratic Party. He previously worked as managing director for the Anschutz Investment Company, chief of staff to Denver Mayor John Hickenlooper, and the superintendent of Denver Public Schools. -
Mayor Paul Bridges shares his definition of "American"
| Anonymous
Republican Mayor Paul Bridges is one of more than a dozen plaintiffs suing Georgia and its governor, trying to stop the state's new immigration law. They won a reprieve in July when a federal judge temporarily blocked parts of the law scheduled to go into effect July 1, 2011. -
Jeff Hawkins shares his definition of "American"
| Anonymous
Jeff Hawkins is the inventor of the Palm Pilot and a long-time mogul in Silicon Valley. This is how he defines "American." -
Stephen Colbert Defines American
| Anonymous
How does Stephen Colbert define "American?" He just looks in the mirror. -
Sen. Robert Menendez (NJ) on his definition of "American"
| Anonymous
Senator Menendez was born on New Year's Day in New York City to Cuban immigrants who left their homeland a few months earlier, in 1953, seeking economic and political freedom from the repressive government headed by Fulgencio Batista. His father, Mario, was a mechanic and his mother, Evangelina, a seamstress. The family subsequently moved to neighboring New Jersey. In 2006, Sen. Menendez was appointed to the United States Senate. Prior… -
Julia Duperrault: Defining American
| Anonymous
Julia shares her definition of "American." -
Pay Hyland: Defining American
| Anonymous
Pat Hyland is a Bay Area native. Born in Palo Alto and a graduate of San Jose State University, Pat has spent her life living in, and loving, Santa Clara County. During her studies at SJSU, she earned a Bachelor of Science degree in Management, a teaching credential in business, an Administrative Services credential, and holds a Master's in Educational Leadership. Teaching holds a special place in Pat's heart, and… -
Elisa Camahort Page: How I Define American
| Anonymous
Elisa is the co-founder and COO of the extraordinary network of women bloggers, BlogHer.com This is how she defines "American." -
Ebong Eka - How I Define American
| Anonymous
Ebong is also a tax and small business expert who frequently appears on MSNBC, Fox News, Fox Business Channel, NBC and CNN. This is how he defines "American." -
Eli Pariser - How I Define American
| Anonymous
Eli is the former executive director of MoveOn.org and is the current board president. He is the author of the book "The Filter Bubble." This is how he defines "American." -
Craig Newmark: How I Define American
| Anonymous
Hi, I'm Craig Newmark, the founder of Craigslist and the new philanthropic site "CraigConnects.org." This is how I define "American:" I define American as playing fair with everyone. I define American as treating people like I'd like to be treated. It's good to remember that. I think that's what our country is about. -
My chronicles as an undocumented
| Anonymous
My story starts with single mother with a small child who happens to be born in Mexico. My name is Erika, I am that small child. My mother decided to give me a better life and she left me with my grandmother at a very young age. She moved to the U.S and would send money so I could go to a private school. By the time I was nine… -
They call us criminals but we've done nothing wrong
| Anonymous
I'm an undocumented immigrant ,yet I have a 4.0 honor student in college. Yes College, how I pay for school when I can't even get a loan easy Wend-Sunday I work from 4:30 pm till 4:30 am none stop. I attend class like anybody else I buss my ass studying working and making ends meet for my family. Im the second child of five. Giving up for me is not… -
I am a Californian
| Anonymous
I love America. I have loved it ever since I stepped foot in this country, when I was thirteen. From my phone conversations with my immigrant uncle, I always heard about how great this country is, how nice the people are, how full of opportunities and top notch education she offers. So, when my father decided to apply for a tourist visa, I was on cloud nine...I would finally be… -
American Opportunity and Progression
| Anonymous
I come from parents who are natives of Mexico. I come from a father with a 3rd grade education and a mother with a diploma from a Catholic Convent, though my parents both were living in the United States when they met. They started a life together in one of Los Angeles County's many immigrant enclaves, and I was meant to be an American born success story. Unfortunately, due to… -
Our story also has to do with heartless immigration policy
| Anonymous
I am ashamed of my country for many of it's heartless immigration policies and I am a strong supporter of "The Dream Act" and immigration reform on many levels. My/our story is also has to do with heartless immigration policy I'm a gay man. Have been all my life. I have learned the hard way that when you are a US citizen and you fall in love with someone of… -
What is in the melting pot?
| Anonymous
No one ever really talks about what is in the Great American Melting Pot. I am here to tell you it is beans! We got black beans, lima, pinto, red, green, white! Each bean I mentioned you know represents a natonality. What a great pot we got brewing. Now that I got your attention, let me tell you the questions polititians should be asking and addressing. We should as legal… -
Long 6 years without my husband and boys without their father!
| Anonymous
From here and from there...
| Anonymous
I was the first in my family to go to high school and receive a diploma and the only one who has gone further on to college. My parents immigrated into the United States, like many other families, seeking for job opportunities that would allow them to provide my brothers and I with choices they did not have. I began my college education knowing of the importance of social justice… -
Opportunity to have an opportunity
| Andres Majerovicz
My name is Andres. I am 21 years old. I was born in Colombia and came to this country I now call home at the age of 10. I have lived in Florida ever since. My family and I left Colombia because we were being persecuted by Las FARC in Colombia. It was no longer safe for us to be there so we decided to come to "the land of… -
JUSTICE for ALL !
| Anneliese Macedo
We came from Brazil 17 years ago. A family of five. Since then our ONLY "investment" has been apply and re-apply for our immigration paperwork. Thousands, and thousands of dollars, to get denied, over and over again. We are NOT against the law, the LAWS are against US ! We tried every possible way to get through....there is NONE ! And because of that MILLIONS of people, are called ILLEGALS… -
Martha's Story
| Martha Perez
I was born in Puebla, Mexico, and like so many other Central and South Americans in the early 1990's my parents decided to come to the United States in search of a better life - better paying jobs and educational opportunities for their children. By the time I was six years old, I had crossed the Mexican-American border with my mom two times. After the second crossing, my family and…
Jeff Hawkins shares his definition of "American"
Continue Reading »Jeff Hawkins is the inventor of the Palm Pilot and a long-time mogul in Silicon Valley.
This is how he defines "American."
Mayor Paul Bridges shares his definition of "American"
Continue Reading »Republican Mayor Paul Bridges is one of more than a dozen plaintiffs suing Georgia and its governor, trying to stop the state's new immigration law.
They won a reprieve in July when a federal judge...
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Acoustic Feedback Screaming Guitar Feedback Made Easy Release your inner beast with the first realistic guitar feedback simulator on the market. Go from moderate and subtle to a rampant and wild feedback by the twist of a knob (or two). To break new musical ground, try inputting a synthesizer, violin, or even your mother's grand piano. Tube Delay A Marriage Between Analog and Digital Tube delay combines the warmth and natural compression from tubes with the features and versatility of a digital delay. The effect is perfect for fattening vocal tracks, adding slap back echo to drums or getting a gritty delay for guitars! Spring Reverb Mechanical Modeling Redefined Spring Reverb is an authentic spring reverb recreation that will add vintage character and grit to any audio track. It also includes novel features such as a fully automatable Shake control that will shake the virtual strings around for those thunderous spring effects, and a Tension control that tightens or loosens the springs to cover a wide range of spring reverb sounds. Learn More: Effect Bundle
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LG is making a desktop Chromebook Chrome OS is coming to the desktop. Or, at least, it's coming to one desktop: the Chromebase, a 21.5" all-in-one machine that LG plans... Type: News story Tags: Systems |
42 |
Topre's Type Heaven mechanical keyboard reviewed Once marginalized by their extravagant pricing, Topre mechanical keyboards have now entered (somewhat) more affordable territory. How does the $150 Topre Type Heaven stack up... Type: Feature article Tags: Input devices |
45 |
NEC shoehorns 368 Avoton cores and 1472GB of RAM into one box Our visit to the Kingston booth at IDF was particularly interesting for more than one reason. With the launch of Intel's Avoton SoC for... Type: News story Tags: CPUs Systems Servers |
48 |
Gigabyte Brix crams gaming PC into, well.... ...yeah, a brick-sized enclosure. Like so: We saw this beauty at IDF last week. Gigabyte lists this Brix system's... Type: News story Tags: Systems |
125 |
A quick look at SolarFocus' Solar Mio Pro USB charger Mobile devices like smartphones and tablets are handy accessories in the wilderness, but charging them can be challenging. We look at the Solar... Type: Feature article Tags: Power Mobile computing Personal tech |
19 |
Big Kepler fulfills potential in Nvidia's Quadro K6000 graphics card Nvidia's GK110 GPU is the big daddy of the Kepler generation. This seven-billion-transistor monster underpins the GeForce GTX Titan graphics card and... Type: News story Tags: Graphics Workstations |
45 |
ARM-powered Utilite mini-PC costs $99, runs Android, Ubuntu $99 doesn't buy you much in the realm of full-fledged PCs. However, as FanlessTech reports, that happens to be the starting price of the... Type: News story Tags: Systems |
33 |
Palm-sized Zotac mini PC combines Core i7 CPU with mSATA RAID Zotac was building mini PCs before it was cool. It's never offered one quite as small and as powerful as the Zbox Nano... Type: News story Tags: Systems |
14 |
Rainbow of Cherry MX switches lines Cooler Master QuickFire XT keyboard Add another mechanical keyboard to the growing ranks equipped with green Cherry MX switches. The heavily sprung, Model M-like key switches are one of... Type: News story Tags: Input devices |
55 |
NZXT adds $70 'sound-crushing' case, sub-$100 modular PSUs NZXT has some fresh goodies on display at Computex this week. Among them is the H230, a mid-tower enclosure that, in NZXT's words, "brings... Type: News story Tags: Cases Power |
20 |
Corsair adds tactile switches, tenkeyless footprint to Vengeance mechanical keyboards Corsair's Vengeance keyboards are some of the nicest mechanical offerings around. They have stunning industrial designs, thoughtful features, and, finally, all-mechanical key switches. ... Type: News story Tags: Input devices |
44 |
Enter here to win an XFX Pro Series 1000W PSU and AMD FX-8350 CPU Thanks to our sponsors, we'll be giving away a bunch of hardware over the next few weeks. Keep your eyes peeled. For this... Type: News story Tags: CPUs Power |
81 |
Zbox mini PCs get Ivy Bridge Core i3, i5 upgrades Zotac has beefed up its Zbox lineup with two new models based on Ivy Bridge processors. Until now, the company's most powerful mini PC... Type: News story Tags: CPUs Systems |
34 |
Gigabyte's Aivia Osmium mechanical keyboard reviewed Most high-end keyboards combine mechanical switches with LED backlighting and programmable macro keys. Gigabyte's Aivia Osmium adds a new twist: USB 3.0 connectivity. ... Type: Feature article Tags: Input devices |
22 |
A first look at Cherry's MX green key switches Cooler Master has released a keyboard based on a little-known mechanical key switch: the Cherry MX greens. We've compared this offering to an IBM... Type: Feature article Tags: Input devices |
57 |
Zotac's Zbox ID42 Plus nettop reviewed This $400 home-theater machine crams a Sandy Bridge processor and a desktop GeForce into a surprisingly small package. We've tinkered with it, both in... Type: Feature article Tags: Systems |
97 |
Backlit gaming keyboards on the way from Rosewill Rosewill just keeps expanding its line of mechanical keyboards. Considering how much we liked the ones we reviewed, we can't really complain. This week... Type: News story Tags: Input devices |
47 |
Corsair adds all-mechanical keyboard, new mice Corsair's Vengeance keyboards are pretty sweet. They combine gorgeous industrial designs with Cherry MX Red mechanical switches, and they're pretty reasonably priced. ... Type: News story Tags: Input devices |
24 |
Clash of the terabyte titans: Crucial M500 960GB vs. Samsung 840 EVO 1TB | 39 |


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Alberta Ferretti Party
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Alberta Ferretti Party
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