text:
"Controlling Today's Perception Of Tomorrow's Economic Strength" Is THE Fed Mandate
Submitted by Tyler Durden on 02/09/2015 17:46 -0500Controlling (stabilizing) today's perception of tomorrow's economic strength attached to (and thus backing) the USD is the Fed mandate. For if we lose control of today's false perception well then god only knows what tomorrow's given value may be. This is the absolute 'mandate' of central banking.
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The Bubble Has Been Fully Restored: Goldman Is Selling A Synthetic CDO
Submitted by Tyler Durden on 02/08/2015 11:23 -0500...but it's different this time.
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2014 Year In Review (Part 2): Will 2015 Be The Year It All Comes Tumbling Down?
Submitted by Tyler Durden on 12/21/2014 13:53 -0500- Abenomics
- Alan Greenspan
- Albert Edwards
- Ally Bank
- Andrew Cuomo
- Andrew Ross Sorkin
- Art Cashin
- Bain
- Bank of England
- Bank Run
- Barack Obama
- Barclays
- Barry Ritholtz
- Bear Stearns
- Belgium
- Ben Bernanke
- Ben Bernanke
- Berkshire Hathaway
- Bill Dudley
- Bill Gates
- Bill Gross
- Bitcoin
- Black Swan
- Blackrock
- Blythe Masters
- Boeing
- Bond
- Bulgaria
- Central Banks
- Charlie Munger
- Chelsea Clinton
- China
- Citigroup
- Cliff Asness
- Cohen
- Comcast
- Corruption
- Counterparties
- Credit Default Swaps
- Credit Suisse
- Creditors
- Darrell Issa
- default
- Dell
- Demographics
- Deutsche Bank
- Elizabeth Warren
- Enron
- Equity Markets
- Erste
- European Union
- Fail
- Fannie Mae
- Federal Reserve
- Financial Overhaul
- Fisher
- Ford
- Fox News
- Freddie Mac
- Freedom of Information Act
- GE Capital
- General Mills
- General Motors
- George Soros
- Germany
- Global Economy
- Goldman Sachs
- goldman sachs
- Government Motors
- Greece
- Gundlach
- Hank Paulson
- Hank Paulson
- headlines
- Hong Kong
- Housing Market
- Hungary
- Iceland
- Insider Trading
- Iran
- Iraq
- Italy
- Jamie Dimon
- Janet Yellen
- Japan
- Jim Chanos
- Joe Biden
- John Hussman
- John Maynard Keynes
- Jon Stewart
- Kappa Beta Phi
- Krugman
- Kyle Bass
- Kyle Bass
- Larry Summers
- Ludwig von Mises
- Mark Spitznagel
- Market Conditions
- Martial Law
- Matt Taibbi
- Maynard Keynes
- McDonalds
- MF Global
- Michael Lewis
- Middle East
- Milton Friedman
- Monetary Policy
- Monetization
- Moral Hazard
- Morgan Stanley
- Nancy Pelosi
- Nassim Taleb
- national security
- New Orleans
- New York Fed
- New York Times
- New Zealand
- Newspaper
- Niall Ferguson
- None
- Obama Administration
- Obamacare
- Paul Krugman
- Pension Crisis
- Peter Boockvar
- President Obama
- Rahm Emanuel
- Real estate
- Recession
- recovery
- Repo Market
- Reserve Currency
- Richard Fisher
- Robert Gates
- Ron Paul
- Sam Zell
- Savings Rate
- Saxo Bank
- Scott Alvarez
- Securities Industry and Financial Markets Association
- Sergey Aleynikov
- Seth Klarman
- Shadow Banking
- Simon Johnson
- Sovereign Debt
- Sovereigns
- St Louis Fed
- St. Louis Fed
- Stephen Roach
- Stress Test
- Subprime Mortgages
- Switzerland
- Testimony
- The Onion
- Tim Geithner
- Timothy Geithner
- Trade Deficit
- Transparency
- Turkey
- Ukraine
- Unemployment
- Unemployment Insurance
- Universa Investments
- Uranium
- Verizon
- Vikings
- Vladimir Putin
- Warren Buffett
- Warsh
- White House
- WorldCom
- Yen
- Yuan
- Zurich
Despite the authorities' best efforts to keep everything orderly, we know how this global Game of Geopolitical Tetris ends: "Players lose a typical game of Tetris when they can no longer keep up with the increasing speed, and the Tetriminos stack up to the top of the playing field. This is commonly referred to as topping out."
"I'm tired of being outraged!"
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Duck And Cover - The Lull Is Breaking, The Storm Is Nigh
Submitted by Tyler Durden on 12/11/2014 18:00 -0500- AIG
- Australia
- Bank of America
- Bank of America
- Barclays
- Ben Bernanke
- Ben Bernanke
- Bond
- Brazil
- Capital Markets
- Central Banks
- China
- Crude
- Crude Oil
- default
- Deutsche Bank
- Equity Markets
- fixed
- Goldman Sachs
- goldman sachs
- Great Depression
- India
- Institutional Investors
- Irrational Exuberance
- Jim Cramer
- Joseph Cassano
- Lehman
- Mad Money
- Meltdown
- Merrill
- Merrill Lynch
- None
- Real estate
- Repo Market
The central banks are now out of dry powder - impaled on the zero-bound. That means any resort to a massive new round of money printing can not be disguised as an effort to "stimulate" the macro-economy by temporarily driving interest rates to "extraordinarily" low levels. They are already there. Instead, a Bernanke style balance sheet explosion like that which stopped the financial meltdown in the fall and winter of 2008-2009 will be seen for exactly what it is—-an exercise in pure monetary desperation and quackery. So duck and cover. This storm could be a monster.
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This Time Is The Same: Like The Housing Bubble, The Fed Is Ignoring The Shale Bubble In Plain Sight
Submitted by Tyler Durden on 12/09/2014 20:30 -0500We are now far advanced into the third central bank generated bubble of the last two decades, but our monetary politburo has taken no notice whatsoever of its self-evident leading wave. Namely, the massive malinvestments and debt mania in the shale patch.
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Veteran S&P Futures Trader: "I Am 100% Confident That Central Banks Are Buying S&P Futures"
Submitted by Tyler Durden on 11/22/2014 22:08 -0500"This last 1900 point Dow Jones push upwards - and the Ebola events leading into it - it was so orchestrated and heightened at critical points but the ascent and push straight up in price, and sideways nonreaction after was completely unlike anything I've seen before. After going up for a record-breaking amount of time the last five or so years, in a nonlinear exponential mania type of ascent, there should normally be tremendous volatility that follows... After this year and especially this last 1900 point Dow run up in October, and post non-reaction, that I am 100 percent confident that that one buyer is our own Federal Reserve or other central banks with a goal to "stimulate" our economy by directly buying stock index futures."
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The Zombie System: How Capitalism Has Gone Off The Rails
Submitted by Tyler Durden on 11/02/2014 22:00 -0500- Alan Greenspan
- Asset-Backed Securities
- Bill Gates
- Bond
- Capital Markets
- Central Banks
- Citigroup
- Corruption
- Credit Suisse
- Crude
- Crude Oil
- Dark Pools
- dark pools
- Davos
- European Central Bank
- Fail
- Flash Trading
- Florida
- France
- George Soros
- Germany
- Global Economy
- Greece
- Insurance Companies
- International Monetary Fund
- Japan
- Larry Summers
- Lehman
- Lehman Brothers
- Merrill
- Merrill Lynch
- Monetary Policy
- Money Supply
- Newspaper
- Nomination
- Private Equity
- Prudential
- Real estate
- Reality
- Recession
- recovery
- Robert Rubin
- Rolex
- Switzerland
- Timothy Geithner
- Too Big To Fail
- Transaction Tax
- White House
"Solutions to the world's problems are not produced in a meeting between Bill Gates and George Soros... Renewal has to come from below... Limiting the influence [of the richest] is of the utmost importance... so that today's upper-class, high-finance capitalism can once again revert to being a capitalism of the real economy and the societal center."
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Another Deutsche Banker And Former SEC Enforcement Attorney Commits Suicide
Submitted by Tyler Durden on 10/26/2014 16:52 -0500Back on January 26, a 58-year-old former senior executive at German investment bank behemoth Deutsche Bank, William Broeksmit, was found dead after hanging himself at his London home, and with that, set off an unprecedented series of banker suicides throughout the year which included former Fed officials and numerous JPMorgan traders. Following a brief late summer spell in which there was little if any news of bankers taking their lives, as reported previously, the banker suicides returned with a bang when none other than the hedge fund partner of infamous former IMF head Dominique Strauss-Khan, Thierry Leyne, a French-Israeli entrepreneur, was found dead after jumping off the 23rd floor of one of the Yoo towers, a prestigious residential complex in Tel Aviv. Just a few brief hours later the WSJ reported that yet another Deutsche Bank veteran has committed suicide, and not just anyone but the bank's associate general counsel, 41 year old Calogero "Charlie" Gambino, who was found on the morning of Oct. 20, having also hung himself by the neck from a stairway banister,
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Crash 2014?
Submitted by Pivotfarm on 10/16/2014 15:29 -0500Is It Fair to compare this sell off to the Great Recession of 2008 and 2009?
- Pivotfarm's blog
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- 11817 reads
Here's What Wall Street Bulls Were Saying In December 2007
Submitted by Tyler Durden on 07/28/2014 14:19 -0500- Abu Dhabi
- Bear Stearns
- Ben Bernanke
- Ben Bernanke
- Bond
- Central Banks
- China
- Citigroup
- Cohen
- Collateralized Loan Obligations
- Credit Conditions
- Credit Suisse
- Deutsche Bank
- Federal Reserve
- Foreclosures
- Gambling
- Goldman Sachs
- goldman sachs
- Housing Market
- Lehman
- Lehman Brothers
- Merrill
- Merrill Lynch
- Momentum Chasing
- Morgan Stanley
- None
- PE Multiple
- Recession
- recovery
- Russell 2000
- Volatility
- Wall of Worry
- Yield Curve
The attached Barron's article appeared in December 2007 as an outlook for the year ahead, and Wall Street strategists were waxing bullish. Notwithstanding the advanced state of disarray in the housing and mortgage markets, soaring global oil prices and a domestic economic expansion cycle that was faltering and getting long in the tooth, Wall Street strategists were still hitting the "buy" key. In fact, the Great Recession had already started but they didn't have a clue: "Against this troubling backdrop, it's no wonder investors are worried that the bull market might end in 2008. But Wall Street's top equity strategists are quick to dismiss such fears."
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Settlements and Fines from TBTF Institutions Since the Crisis
Submitted by StalingradandPoorski on 07/25/2014 18:26 -0500Let's take a look at the amount of settlements/fines from various banks and financial institutions around the world since the crisis.
- StalingradandPoorski's blog
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- 5559 reads
Starting Monday, Billions In ETNs Are No Longer Marginable Collateral
Submitted by Tyler Durden on 05/16/2014 16:34 -0500When is marginable collateral not marginable collateral? When it is an ETN, or Exchange Trade Note: the cousin of the Exchange Traded Fund (ETF). The very mutated, and unabashedly evil cousin of the ETF that is. At least such is the view of US brokerage Interactive Brokers " Pursuant to a recent decision by FINRA whereby Exchange Traded Notes (ETNs) will no longer be eligible for Portfolio Margining, these securities, including options having an ETN as an underlying, will be phased out of the program by OCC during the week of May 19, 2014."
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Guest Post: Is QE A Victimless Crime?
Submitted by Tyler Durden on 01/28/2014 19:18 -0500Tomorrow we prepare for a "new" Fed. It looks a lot like the old Fed, but one can hope. In the meantime we wonder if QE is worth it? Does it do what it is "supposed" to do? No. We don't think it has done much for jobs or inflation or housing. We look at the pre QE data and the post QE data and we are underwhelmed. But what real evidence is there that QE is helping the economy? Would we be the same without it? Better even? I am told no, but I am told a lot of things that turn out not to be true. If it was clear that QE was really helping the economy, I wouldn't be wondering why we do it. But is there any harm to QE? That is the other side of the coin. Ask any person from an Emerging Market whether QE is harmful and you will likely get a very different answer than the one Ben has given.
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Volcker Is LOLkered As TruPS CDO Provision Eliminated From Rule To Avoid "Unnecessary Losses"
Submitted by Tyler Durden on 01/15/2014 09:02 -0500- CDO
- Collateralized Debt Obligations
- Collateralized Loan Obligations
- Commodity Futures Trading Commission
- Comptroller of the Currency
- Consumer protection
- Federal Deposit Insurance Corporation
- Federal Reserve
- fixed
- Office of the Comptroller of the Currency
- Regional Banks
- Securities and Exchange Commission
So much for the strict, evil Volcker Rule which was a "victory for regulators" and its requirement that banks dispose of TruPS CDOs. Recall a month, when it was revealed that various regional banks would need to dispose of their TruPS CDO portfolios, we posted "As First Volcker Rule Victim Emerges, Implications Could "Roil The Market"." Well, the market shall remain unroiled because last night by FDIC decree, the TruPS CDO provision was effectively stripped from the rule. This is what came out of the FDIC last night: "Five federal agencies on Tuesday approved an interim final rule to permit banking entities to retain interests in certain collateralized debt obligations backed primarily by trust preferred securities (TruPS CDOs) from the investment prohibitions of section 619 of the Dodd-Frank Wall Street Reform and Consumer Protection Act, known as the Volcker rule." In other words, the first unintended consequences of the Volcker Rule was just neutralized after the ABA and assorted banks screamed against it.
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TruPS CDOs Explained - With Charts
Submitted by Tyler Durden on 12/30/2013 17:22 -0500Over the past two weeks, Trust Preferred (or TruPS) CDOs have gained prominent attention as a result of being the first, and so far only, security that the recently implemented and largely watered-down, Volcker Rule has frowned upon, and leading various regional banks, such as Zions, to liquidate the offending asset while booking substantial losses. But... what are TruPS CDOs, and just how big (or small) of an issue is a potential wholesale liquidation in the market? Courtesy of the Philly Fed we now have the extended answer.
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text:
Is there a 12 MG Fentanyl PATCH?
- Posted:
- 5 Apr 2011 by Anonymous
- Topics:
- fentanyl
Answers (2)
I believe she is right it starts out at 12.5mcg, then 25mcg, 50mcg, 75mcg, 100mcg/hour this is how the dose is made
yes, they do come in 12.5 mcg. I started on that dose.
Further Information
- Fentanyl Information for Consumers
- Fentanyl Information for Healthcare Professionals (includes dosage details)
- Side Effects of Fentanyl (detailed)
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subset: commoncrawl


text:
The Fleetwood is a wool felt blend fedora hat from Dobbs' Wool Felt Fashion collection. This hat boasts a 2 7/8" bound edge pencil roll brim and is matched with a center dent crown. The hat band is comprised of grosgrain and features a bow with a feather for accent. Available in Black (Shown) and White
Originating on Fifth Avenue in 1930's New York, Dobbs is a well-renowned, venerated USA hat brand that many "old timers" associate with great quality and styling. Today, the Dobbs label continues to represent the finest quality men's classic felt and straw dress hats. Blending traditional styles with modern inspirations, Dobbs has a full array of men's styles, including flat caps, porkpies, fedoras, and more. Whether you plan to wear a Dobbs because of its dependability or because of its current popularity, you'll be getting a great American made style that's bound to get you a tip of the hat.


text: Diagnosis and Interpretation • We concentrate on diagnosis and interpretation because historically they are significant problems that AI has addressed – And there are numerous and varied solutions, providing us with an interesting cross-section of AI techniques to examine • Diagnosis is the process of determining whether the behavior of a system is correct • If incorrect, which part(s) of the system is(are) failing – We often refer to the result of a diagnosis is one or more malfunctions – The system being diagnosed can be an artificial system (man- made) or natural system (e.g., the human body, the ecology) • man-made systems are easier to diagnose because we understand the systems thoroughly enough to develop an accurate model • Interpretation is a related problem, it is the process of explaining the meaning of some object of attention Data Driven Processes • While both diagnosis and interpretation have goals of "seeking to explain", the processes are triggered by data – We use the data (symptoms, manifestations, observations) to trigger possible reasons for why those data have arisen • Thus, these problems are distinct from goal-driven problems – Like planning, design, and control • control encompasses planning, interpretation, diagnosis and possibly prediction • One way to view diagnosis/interpretation is that given data, explain why the data has arisen – Thus, it is an explanation-oriented process • the result of the process is an explanation which attempts to describe why we have the resulting behavior (malfunctions or observations) • we will reconsider this idea (explanation as a process) later The Diagnostic Task • Data triggers causes (hypotheses of malfunctions, or potential diagnoses), typically an associational form of knowledge • Hypotheses must be confirmed through additional testing and inspection of the situation • Hypotheses should be as specific as possible, so they need to be refined (e.g., given a general class of disease, find the most specific subclass) Forms of Interpretation • The idea behind interpretation is that we are trying to understand why something has happened – Diagnosis is a form of interpretation in that we are trying to understand a system's deviation from the norm • what caused the system to deviate? what components have broken down? why? • Diagnosis is a form of interpretation, but there are other forms – Data analysis – what phenomenon caused the data to arise, e.g., studying astronomical phenomena by looking at radio signals, or looking at blood clots and decided on blood types – Object identification – viewing a description (in some form, whether visual or data) of an object, what is the object – Speech recognition – interpret the acoustic signal in terms of words/meanings – Communication – what is the meaning behind a given message? This can be carried over to analysis of artwork – Evidence analysis – trying to decipher the data from a crime scene to determine what happened, who committed the crime and why – Social behavior –explaining why someone acted in a particular way Some Definitions • Let us assume that our knowledge of a given system is contained as a model – A diagnosis is a particular hypothesis of how the system differs from the model • what component(s) is(are) not functioning as modeled? – A diagnosis is a description of one possible state of the system where the state is not the "normal state" – A consistency-based diagnosis is a diagnosis where each component of the system is labeled as either normal or abnormal (functioning correctly or not) such that the description is consistent with the observations • If there are n components in a system, there are 2n different diagnoses because we must consider that multiple components may fail – A minimal diagnosis is a diagnosis consisting of some set of components C such that there is no consistent diagnosis that is a subset of C First Interpretation System • The system Dendral, from 1966, was given mass spectrogram data and inferred the chemical composition from that data – The input would be the mass of the substance along with other experimental lab data – Dendral would apply knowledge of atomic masses, valence rules and connectivity among atoms to determine combinations and connections of the atoms in the unknown compound • The number of combinations grows exponentially with the size (mass) of the unknown compound) – Dendral used a plan-generate-test process • First, constraints would be generated based on heuristic knowledge of what molecules might appear given the initial input and any knowledge presented about the unknown compound Dendral Continued • The planning step would constrain the generate step – At this step, graphical representations of possible molecules would be generated – The constraints are necessary to reduce the number of possible graphs generated • The final step, testing, attempts to eliminate all but the correct representations – Each remaining graph is scored by examining the candidate molecular structure and comparing it against mass spectrometry rules and reaction chemistry rules – Structures are discarded if they are inconsistent with the spectrum or known reactions – Any remaining structures are presented the operator • At this point, the operator can input additional heuristic rules that can be applied to this case to prune away incorrect structures – These rules are added to the heuristics, so Dendral "learns" – A thorough examination is presented in http://profiles.nlm.nih.gov/BB/A/B/O/M/_/bbabom.pdf Mycin • Mycin was the next important step in the evolution of AI expert systems and AI in medicine – The first well known and well received expert system, it also presented a generic solution to reasoning through rules – It provided uncertainty handling in the form of certainty factors – After creating Mycin, some of the researchers developed the rule-based language E-Mycin (Essential or Empty Mycin) so that others could develop their own rule-based expert systems • Mycin had the ability to explain its conclusions by showing matching rules that it used in its chain of logic • Mycin outperformed the infectious disease experts when tested, coming to an "acceptable" therapy in 69% of its cases – A spinoff of Mycin was a teaching tool called GUIDON which is based on the Mycin knowledge base The Importance of Explanation • The Dendral system presented an answer but did not explain how it came about its conclusions • Mycin could easily generate an explanation by outputting the rules that matched in the final chain of logic – E.g., rule 12 & rule 15 rule 119 rule 351 – A user can ask questions like "why was rule 351 selected?" to which Mycin responds by showing the rule's conditions (lhs) and why those conditions were true – The reason why a rule is true is usually based on previous rules being true leading to conclusions that made the given rule true • By being able to see the explanation, one can feel more confident with the system's answers – But it is also a great tool to help debug and develop the knowledge base Mycin Sample Rules RULE116 IF: 1) the identity of ORGANISM-1 is not known ** 2) the gram stain of ORGANISM-1 is not known** 3) the morphology of ORGANISM-1 is not known 4) the site of CULTURE-1 is csf 5) the infection is meningitis 6) the age (in years) of the patient is less than equal to .17 THEN: There is weakly suggestive evidence (. 3) that the category of ORGANISM-1 is enterobacteriaceae RULE050 IF: 1) the morphology of ORGANISM-1 is rod 2) the gram stain of ORGANISM-1 is gramneg 3) the aerobicity of ORGANISM-1 is facultative ** 4) the infection with ORGANISM-1 was acquired while the patient was hospitalized** THEN: There is evidence that the category of ORGANISM-1 is enterobacteriaceae Systems Generated From Emycin • SACON – Structural Analysis CONsultant IF: 1) The material composing the sub-structure is one of the metals, and 2) The analysis error that is tolerable is between 5% and 30%, and 3) Then non-dimensional stress of the sub-structure > .9 , and 4) The number of cycles the loading is to be applied is between 1000 and10000 THEN: It is definite (1.0) that fatigue is one of the stress behavior phenomena in the sub-structure • Puff – pulmonary disorders – originally implemented in Emycin before being re- implemented as an OO system I f : 1) The mmf/mmf-predicted ratio is [35..45] & the fvc/fvc-predicted ratio > 88 2) The mmf/mmf-predicted ratio is [25..35] & the fvc/fvc-predicted ratio < 88 Then : There is suggestive evidence (.5) that the degree of obstructive airways disease as indicated by the MMF is moderate, and it is definite (1.8) that the following is one of the findings about the diagnosis of obstructive airways disease: Reduced mid-expiratory flow indicates moderate airway obstruction. A Fuzzy Logic Approach • The process is one of – Fuzzifying the inputs • blood pressure of 145 mmHg can be denoted as {low/0, medium/.4, high/.6} – Fuzzy reasoning • applying rules similar to Mycin – recall that fuzzy systems do poorly with lengthy chains of rules, so we will primarily use fuzzy logic in diagnosis when there are few rules and limited chains of logic • we use fuzzy logic and set theory to compute AND, OR, NOT, Implication, Difference, etc. as needed for the rules – Fuzzy classes • given the result of our rules, we defuzzify by identifying which class (malfunction(s)/diagnosis(es)) is rated the highest – FL has been used for automotive diagnosis, clinical lab test interpretation, mammography interpretation, … Analyzing Mycin's Process • A thorough analysis of Mycin was performed and it was discovered that the rule-based approach of Mycin was actually following three specific tasks – Data are first translated using data abstraction from specific values to values that may be of more use (e.g., changing a real value into a qualitative value) – The disease(s) is then classified – The hypothesis is refined into more detail • By considering the diagnostic process as three related but different tasks, it allows one to more clearly understand the process – With that knowledge, it becomes easier to see how to solve a diagnostic task – use classification Classification as a Task • One can organize the space of diagnostic conclusions (malfunctions) into a taxonomy – The diagnostic task is then one of searching the taxonomy • Coined hierarchical classification – The task can be solved by establish-refine • Attempt to establish a node in the hierarchy • If found relevant, refine it by recursively trying to establish any of the node's children • If found non-relevant, prune that portion of the hierarchy away and thus reduce the complexity of the search • How does one establish a node as relevant? – Here, we can employ any number of possible approaches including rules • Think of the node as a "specialist" in identifying that particular hypothesis • Encode any relevant knowledge to recognize (establish) that hypothesis in the node itself Supporting Classification • The establish knowledge can take on any number of different forms – Rules (possibly using fuzzy logic or certainty factors, or other) – Feature-based pattern matching – Bayesian probabilities or HMM – Neural network activation strength – Genetic algorithm fitness function • In nearly every case, what we are seeking are a set of pre- determined features – Which features are present? Which are absent? – How strongly do we believe in a given feature? • If the feature is not found in the database, how do we acquire it? – By asking the user? By asking for a test result? By performing additional inference? – Notice that in the neural network case, features are inputs whereas in most of the rest of the cases, they are conditions usually found on the LHS of rules Feature-based Pattern Matching • A simple way to encode associational knowledge to support a hypothesis is to enumerate the features (observations, symptoms) we expect to find if the hypothesis is true – We can then enumerate patterns that provide a confidence value that we might have if we saw the given collection of features • Consider for hypothesis H, we expect features F1 and F2 and possibly F3 and F4, but not F5 where F1 is essential but F2 is somewhat less essential – F1 F2 F3 F4 F5 Result – yes yes yes yes no confirmed – yes yes ? ? no likely – yes ? ? ? no somewhat likely – ? yes ? ? no neutral/unsure – ? ? ? ? yes ruled out – ? means "don't care" • We return the result from the first pattern to match, so this is in essence a nested if-else statement Data Abstraction • In Mycin, many rules were provided to perform data abstraction – In a pattern matching approach, we might have a feature of interest that may not be directly evident from the data but the data might be abstracted to provide us with the answer • Example: Was the patient anesthetized in the last 6 months? • No data indicates this, but we see that the patient had surgery 2 months ago and so we can infer that the patient was anesthetized • Data abstractions might be domain specific – In which case we have to codify each inference as shown above • Or may be domain independent – Such as temporal reasoning or spatial reasoning • Another form is to discard a specific value in favor of a more qualitative value (e.g., temperature 102 becomes "high fever") Example 1: Automotive Diagnosis Engine Trouble Fuel Electrical Air and Exhaust Spark Control Oxygen Sensor Fuel Pump EGR Valve Spark Plug Relay Battery Solenoid Mass Air Flow Sensor Spark Plug Voltage Air Filter Wire Throttle Position Sensor Fuel Pump Fuse Regulator Catalytic Ignition Coil Knock Sensor Fuel Pump Converter Manifold Absolute Fuel Injector Idle Air Control Pressure Sensor Solenoid Manifold Air Fuel Pressure Idle Speed Control Temperature Sensor Regulator Motor Coolant Temperature Fuel Filter Sensor Engine Control Module Crankshaft Position Sensor Camshaft Position Sensor Vehicle Speed Sensor Example 2: Syntactic Debugging Ex 3: Linux User Classification Lack of Differentiation • Notice that through the use of simple classification (what is called hierarchical classification), one does not differentiate among possible hypotheses – If two hypotheses are found to be relevant, we do not have additional knowledge to select one • What if X and Y are both established with X being more certain than Y, which should we select? • What if X and Y have some form of association with each other such as mutually incompatible, or jointly likely? • We would like to employ a process that contains such knowledge as to let us select only the most likely hypothesis(es) given the data – In a neural network, we would only select the most likely node, and similarly for an HMM, the most likely path Abduction • This leads us to abduction, a form of inference first termed by philosopher Charles Peirce – Peirce saw abduction as the following: • Deduction says that – If we have the rule A B – And given that A is true – Then we can conclude B • But abduction says that – If we have the rule A B – And given that B is true – Then we can conclude A – Notice that deduction is truth preserving but abduction is not – We can expand the idea of abduction to be as follows: • If A1 v A2 v A3 v … v An B • And given that B is true • And if Ai is more likely than any other Aj (1<=j<=n), then we can infer that Ai is true – for this to work, we need a way to determine which is most likely Inference to the Best Explanation • Another way to view abduction is as follows: – D is a collection of data (facts, observations, symptoms) to explain – H explains D (if H is true, then H can explain why D has appeared) – No other hypothesis explains D as well as H does – Therefore H is probably correct • Although the problem can be viewed similar to classification – we need to locate an H that accounts for D – We now need additional knowledge, explanatory knowledge • What data can H explain? • How well can H explain the data? • Is there some way to evaluate H given D? – Additionally, we will want to know if • H is consistent • Did we consider all H's in our domain? • What complicates generating a best explanation is that H and D are probably not singletons but sets Continued • Assume H is a collection of hypotheses that can all contribute to an explanation, H = {H1, H2, H3, …, Hn} • D is a collection of data to be explained, D = {d1, d2, d3, …, dn} – a given hypothesis can account for one or more data (e.g., H3 can explain {d1, d5}) – assume that we have ranked all elements of H with some scoring algorithm (Bayesian probability, neural network strength of activation, feature-based pattern matching, etc) • The abductive process is to generate the best subset of H that can explain D – what does best mean? Ways to View "Best" • We will call a set of hypotheses that can explain the data as a composite hypothesis • The best composite hypothesis should have these features – Complete – explains all data (or as much as is possible) – Consistent – there are no incompatibilities among the hypotheses – Parsimonious – the composite has no superfluous parts – Simplest – all things considered, the composite should have as fewer individual hypotheses as possible – Most likely – this might be the most likely composite or the composite with the most likely hypotheses (how do we compute this?) • In addition, we might want to include additional factors – Cheapest costing (if applicable) – the composite that would be the least expensive to believe – Generated with a reasonable amount of effort – generating the composite in a non-intractable way (abduction is generally an NP- complete problem) Internist – Rule based Abduction • One of the earliest expert systems to apply abduction was Internist, to diagnose internal diseases – Internist was largely a rule-based system – The abduction process worked as follows • Data trigger rules of possible diseases • For each disease triggered, determine what other symptoms are expected by that disease, which are present and which are absent – Generate a score for that disease hypothesis • Now compare disease hypotheses to differentiate them – If one hypothesis is more likely, try to confirm it – If many possible hypotheses, try to rule some out – If a few hypotheses available, try to differentiate between them by seeking data (e.g., test results) that one expects that the others do not – The diagnostic conclusion are those hypotheses that still remain at the end that each explain some of the data Neural Network Approach • Paul Thagard developed ECHO, a system to learn explanatory coherence – ECHO was developed as a neural network where nodes represent hypotheses and data – links represent potential explanations between hypotheses and data – and hypothesis relationships (mutual incompatibilities, mutual support, analogy) • Unlike a normal neural network, nodes here represent specific concepts – weights are learned by the strength of relationships are found in test data • In fact, the approach is far more like a Bayesian network with edge weights representing conditional probabilities (counts of how often a hypothesis supports a datum) – When data are introduced, perform a propagation algorithm of the present data until the hypothesis nodes and data nodes have reached a stable state (similar to a Hopfield net) and then the best explanation are those hypothesis nodes whose probabilities are above a preset threshold amount Ex: Evolution (DH) vs Creationism (CH) Probabilistic Approach(es) • Pearl's Belief networks and the generic idea behind the HMM are thought to be abductive problem solving techniques – Notice that there is no explicit coverage of hypotheses to data, for instance, we do not select a datum and ask "what will explain this?" – Instead, the solution is derived to be the best explanation but where the explanation is generated by finding the most probable cause of the collection of data in a holistic approach • The typical Bayesian approach contains probabilities of a hypothesis (state) being true, of a hypothesis transitioning to another hypothesis, and of an output being seen from a given hypothesis – But there is no apparent mechanism to encode hypothesis incompatibilities or analogies Example • In the diagram of a system – I represents inputs – O represents outputs – Ab represent component parts that might be malfunctioning • In the formula – dc is a diagnostic conclusion (malfunction) based on input and output i, o The Peirce Algorithm • The previous strategies assume that knowledge is available in either a rule-based or probabilistic-based format • The Peirce algorithm instead uses generic tasks – The algorithm has evolved over the course of construction several knowledge-based systems • The basic idea is – Generate hypotheses • this might be through hierarchical classification, neural network activity, or other – Instantiate generated hypotheses • for each hypothesis, determine its explanatory power (what it can explain from the data), hypothesis interactions (for the other generated hypotheses, are they compatible, incompatible, etc) and some form of ranking – Assemble the best explanation • see the next slide The Assembly Algorithm • Examine all data and see if there are any data that can only be explained by a single hypothesis – such a hypothesis is called an essential hypothesis • Include all essential hypotheses in the composite • Propagate the affects of including these hypotheses (see next slide) • Remove from the data all data that can be explained • Start from the top (this may have created new essentials) • Examine remaining data and see if there are any data that can only be explained by a superior hypothesis – such a hypothesis would clearly beat all competitors by having a much higher ranking • Include all superior hypotheses in the composite, propagate and remove • Start from the top (this may have created new essentials) • Examine remaining data and see if there are any data that can only be explained by a better hypothesis – such a hypothesis would be better than all competitors • Include all better hypotheses in the composite, propagate and remove • Start from the top (this may have created new essentials) • If there are still data to explain, either guess or quit with unexplained data Propagation • The idea behind the Peirce algorithm is to build on islands of certainty – If a hypothesis is essential, it is the only way to explain something, it MUST be part of the best explanation • If a hypothesis is included in the composite, we can leverage knowledge of how that hypothesis relates to others – If the hypothesis, say H1, is incompatible with H2, since we believe H1 is true, H2 must be false, discard it – If hypothesis H1 is very unlikely to appear with H2, we can downgrade H2's ranking – If hypothesis H1 is likely to appear with H2, we can either reconsider H2 or just bump up its ranking – If hypothesis H1 can be inferred to be H2 by analogy, we can include H2 • Since H1 was included because it was the only (or best) way to explain some data, we build upon that island of certainty by perhaps creating new essentials because H1 is incompatible with other hypotheses Layered Abduction • For some problems, a single data to hypothesis mapping is insufficient – Either because we have more knowledge to bring to bear on the problem or because we want an explanation at a higher level of reasoning • For instance, in speech recognition, we wouldn't want to just generate an explanation of the acoustic signal as a sequence of phonetic units • So we map the output of one level into another – The explanation of one layer becomes the input of the next layer – we explain the phonetic unit output as a sequence of syllables, and we explain the syllables as a sequence of words, and then explain the sequence of words as a meaningful statement – We can use partially formed hypotheses at a higher level to generate expectations for a lower layer thus giving us some top-down guidance Example: Handwritten Character Recognition (CHREC) Overall Architecture • The system has a search space of hypotheses – the characters that can be recognized • this may be organized hierarchically, but here, its just a flat space – a list of the characters – each character has at least one recognizer • some have multiple recognizers if there are multiple ways to write the character, like 0 which may or may not have a diagonal line from right to left After characters are generated for each character in the input, the abductive assembler selects the best ones to account for the input Explaining a Character • The features (data) found to be explained for this character are three horizontal lines and two curves • While both the E and F characters were highly rated, "E" can explain all of the features while "F" cannot, so "E" is the better explanation Top-down Guidance • One benefit of this approach is that, by using domain dependent knowledge – the abductive assembler can increase or decrease individual character hypothesis beliefs based on partially formed explanations – for instance, in the postal mail domain, if the assembler detects that it is working on the zip code (because it already found the city and state on one line), then it can rule out any letters that it thinks it found • since we know we are looking at Saint James, NY, the following five characters must be numbers, so "I" (for one of the 1's, "B" for the 8, and "O" for the 0 can all be ruled out (or at least scored less highly) Full Example in a Natural Language Domain Model-based Diagnosis: Functional • In all of our previous examples of diagnosis and interpretation, our knowledge was associational – We associate these symptoms/data with these diseases/malfunctions • This is fine when we do not have a complete understanding the system – Medical diagnosis – Speech recognition – Vision understanding – What if we do understand the system? • E.g., a human-made artifact – If this is the case, we should be able to provide knowledge in the form of the function that a given component will provide in the system and how that function is achieved through its behavior (process) • Debugging can be performed by simulating performance with various components not working The Clapper Buzzer • This mechanical device works as follows: – When you press the button (not shown) it completes the circuit causing current to flow to the coil – When the magnetic coil charges, it pulls the clapper hand toward it – When the clapper hand moves, it disconnects the circuit causing the coil to stop pulling the hand and then hand falls back, hitting a bell (not shown) causing the ringing sound – This also reconnects the circuit, and so this process repeats until the button is no longer pressed Generating a Diagnosis • Given a functional representation, we can reason over whether a function can be achieved or not – Hypothetical or "what would happen if" reasoning • What would happen if the coil was not working? • What would happen if the battery was not charged? • What would happen if the clapper arm were blocked? – We can also use the behavior and test results to find out what function(s) was not being achieved • With the switch pressed, we measure current at the coil, so the coil is being charged • We measure a magnetic attraction to show that the coil is working • We do not hear a clapping sound, so the magnetic attraction is either not working, or the acoustic law is not being fulfilled – Why not? Perhaps the arm is not magnetic? Perhaps there is something on the arm so that when it hits the bell, no sound is being emitted Model-based Diagnosis: Probabilistic • While a functional representation can be useful for diagnosis, it is somewhat problem independent – FRs can be used for prediction (WWHI reasoning), diagnosis, planning and redesign, etc • Diagnosis typically is more focused, so we can create a model of system components and their performance and enhance the system with probabilities – Failure rates can be used for prior probabilities – Evidential probabilities can be used to denote the likelihood of seeing a particular output from a component given that it has failed • Bayesian probabilities can then be easily computed Example • The device consists of 3 multipliers and 2 adders • F computes A*C+B*D • G computes B*D+C*E – Given the inputs, F should output 12 but computes 10 – Given the inputs, G should output 12 and does • We can employ probabilities of • We use the model to compute component failure rate and the diagnosis likelihood of seeing particular – Possible malfunctions are with values given the input to M1, M2, A1 but not M3 or A2 compute the most likely cause • If we can probe the inside of the – note: it could be multiple machine component failure – we can obtain values for X, Y and • If we have a model of the Z to remove some of the multiplier and adder, we can contending malfunction hypotheses also use that knowledge to assist in diagnosis Neural Network Approach • Recall that neural networks, while trainable to perform recognition tasks, are knowledge-poor – Therefore, they seem unsuitable for diagnosis • However, there are many diagnostic tasks or subtasks that revolve around – data interpretation – visual understanding • And neural networks might contribute to diagnosis by solving these lower level tasks • NNs have been applied to assist in – Congestive heart failure prediction based on patient background and habits – Medical imaging interpretation for lung cancer and breast cancer (MRI, chest X-ray, catscan, radioactive isotope, etc) – Interpreting forms of acidosis based on blood work analysis Case-Based Diagnosis • Case based reasoning is most applicable when – There are a sufficiently large number of cases – There is knowledge of how to manipulate a previous case to fit the current situation • This is most common done with planning/design, not diagnosis – So for diagnosis, we need a different approach • Retrieve all cases that are deemed relevant for the current input • Recommend those cases that match closely by combining common diagnoses, a weighted voting scheme • Supply a confidence based on the strength of the votes • If deemed useful, retain the case to provide the system with a mechanism for "learning" based on new situations – This approach has been employed by GE for diagnosing gas engine turbine problems AI in Medicine • The term (abbreviated as AIM) was first coined in 1959 although actual usage didn't occur until the 1970s with Mycin – Surprisingly using AI for medical diagnosis has largely not occurred in spite of all of the research systems developed, in part because • the expert systems impose changes to the way that a clinician would perform their task (for instance, the need to have certain tests ordered at times when needed by the system, not when the clinician would normally order such a test) • the problem(s) solved by the expert system is not a particular issue needing solving (either because the clinician can solve the problem adequate, or the problem is too narrow in scope) • the cost of developing and testing the system is prohibitive AIM Today • So while AI diagnosis still plays a role in AIM, it is a small role, much smaller than those in the 1980s would have predicted • Today, AIM performs a variety of other tasks – Aiding with laboratory experiments – Enhancing medical education – Running with other medical software (e.g., databases) to determine if inconsistent data or knowledge has been entered • for instance, a doctor prescribing medication that the patient is known to be allergic too – Generating alerts and reminders of specific patients to nurses, doctors or the patients themselves – Diagnostic assistance – rather than performing the diagnosis, they help the medical expert when the particular problem is of a rare case – Therapy critiquing and planning, for instance by finding omissions or inconsistencies in a treatment – Image interpretation of X-Rays, catscans, MRI, etc AI Systems in Use • Puff – interpretation of pulmonary function tests has been sold to hundreds of sites world-wide starting as early as 1977 • GermWatcher – used in hospitals to detect in-patient acquired infections by monitoring lab data on culture data • PEIRS – pathology expert interpretive reporting system is similar, it generates 80-100 reports daily with an accuracy of about 95%, providing reports on such things as thyroid function tests, arterial blood gases, urine and plasma catecholamines, glucose test results and more • KARDIO – a decision tree learning system that interprets ECG test results • Athena – decision support system implements guidelines for hypertension patients to instruct them on how to be more healthy, in use since 2002 in clinics in NC and northern CA Continued • PERFEX – an expert rule-based system to assist with medical image analysis for heart disease patients • Orthoplanner – plans orthodonture treatments using rule-based forward and backward chaining and fuzzy logic, in use in the UK since 1994 • PharmAde and DoseChecker – expert systems to evaluate drug therapy prescriptions given the patient's background for inaccuracies, negative interactions, and adjustments, in use in many hospitals starting in 1996/1994 • IPROB – intelligent clinical management system to keep track of obstetrics/gynecology patient records and cases, risk reduction, decision support through distributed databases and rules based on hospital guidelines, practices, etc, in use since 1995


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Volunteers and Interns
Alwan accepts interns and volunteers year-round to support marketing, event management, fundraising, programming, and more. Alwan provides an exceptional opportunity to get hands-on experience about arts and culture programming and learning the inner-workings of a non-profits organization. It is a great opportunity to grow professionally, intellectually and artistically. Alwan's interns are evaluated according to university/college requirements and receive accreditation.
Please contact Sophie Couche if you are interested in participating in Alwan's Intern & Volunteer Program.
Winter and Spring Internship positions have been filled. Please check back in May 2015 for Summer internship positions.
Please send through a copy of your resume and cover letter, addressing the internship position relevant to your application to firstname.lastname@example.com
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This talc-based emollient moisturizing mask had promise for those with normal to dry skin. The plant oils and shea butter this contains are soothing and hydrating for skin, but what would've otherwise been a very good mask does skin wrong with the inclusion of comfrey and synthetic fragrances. That isn't nourishing, it's irritating and the irritation these ingredients can cause makes it a problem for all skin types. By no means is this a good option for sensitive skin!
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Strengths: Reasonable prices.
Weaknesses: No sunscreens; jar packaging; products are overly fragranced and contain irritating plant extracts; no reliable products for acne; products for those with rosacea, sensitive skin, and eczema contain irritating fragrant components and perfume.
Liz Earle began her United Kingdom-based cosmetics company in 1995 with her name affixed to the label, Liz Earle Naturally Active Skin Care. Originally located on the Isle of Wright, the company their products were inspired by the natural foliage of this part of the world's rainy, cold environs.
A prolific writer of more than 30 beauty books along with a background as a beauty journalist and broadcaster, Earle became a diehard believer in all things natural. One of her books even suggests you can beat cellulite with scrubs, creams, and massage oils. We wouldn't bet on it any more than the allure of all natural holds the answer to having beautiful skin, but even Earle's products don't follow that philosophy wholeheartedly as they are not all natural in the least. In fact, you could say they are about as natural as polyester. Labeling the line "naturally active" is a clever play on words; it makes you think the products are natural without really saying they are.
After 15 years of being one of the biggest independent UK-based personal care companies Liz Earle was bought by Avon in 2010. That has certainly changed the face of the company! It's interesting to point out that despite Avon's home consultant business model, Liz Earle stopped the home consulting side of their business shortly after joining the fold at Avon.
Business decisions aside, the products are what matter and what's inside those products matters most. We were first struck by the line's lack of sunscreens. The company's convoluted explanation for this is how the weather in the UK doesn't warrant it (though we're not sure how that factors into the brand's U.S. distribution) and also because synthetic sunscreens are bad for skin. None of that is true. Daylight (as in UV light, which is present whether the sun is shining or not) in any amount causes immediate and long-term skin damage. Only a few minutes of unprotected sun exposure a day causes premature aging, though you won't see these effects until years later. Numerous studies have shown how regular use of sunscreen with all types of active ingredients, including synthetic and mineral, makes skin look significantly younger, longer—and reduces risk of skin cancer.
The company does say mineral sunscreen ingredients are good yet that only shows up in their Daily Eye Repair with an SPF 10 (SPF 15 is considered the minimum by medical and regulatory boards around the world) and it appears this product is only be sold in the U.K. There is no explanation why there aren't other mineral-based sunscreens in the line.
Although we find the lack of sunscreens a sign of bad (or at least shortsighted) skin care, we are also highly skeptical of skin-care companies that sell bust and neck treatments. Earle's Superskin Bust & Neck Treatment claims the natural ingredients it contains can plump skin around the bust. Again don't count on it, but we admit the application description will arouse something! Ironically, the description for the product explains how sun exposure ages skin, but then we're going back to the lack of sun protection in the line. Now that's contradictory! Regardless skin on the neck, chest, and face benefit from the same state-of-the-art ingredients and there is not a shred of unbiased research to the contrary.
Despite the reservations mentioned above, there are some interesting formulations in Earle's line with great price points. But even the better formulas suffer from too much fragrance, dubious and overblown claims, and prevalent use of irritating plant extracts. Oddly enough, the fragrance-free formulations in this product line have some of the more ordinary formulations when it comes to antioxidants or soothing emollients—two categories of ingredients those with sensitive skin really need.
In short, Liz Earle Naturally Active Skin Care is nothing to get all that excited about, whether you're a fan of natural ingredients or simply want skin care from the U.K.
For more information about Liz Earle, visit www.lizearle.com or call 1-800-515-5911.
The Beautypedia Research Team is dedicated to helping you find the absolute best products for your skin, using research-based criteria to review beauty products from an honest, balanced perspective. Each member of the team was personally trained by Paula Begoun herself.
I really love this mask and it works amazingly on my sensitive, rosacea prone skin. All tightness is gone and redness noticeably reduced. Couldn't do without it.
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*Ready for Retinol Trial Set includes Clinical 1% Retinol Treatment Trial and Resist Moisture Renewal Oil Booster Trial. Promotion expires 9pm PT, March 3, 2015. No cash value. Cannot be combined with other offers or applied to previous purchases. Limit one free trial size set ($35 value) per order while supplies last.
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Join us tonight as we host the President of Millers Association of Zambia Alan Sakala as we discuss issues.
call in 0114 360 1992 or skype CROSSFIREZAMBIA
Life Changing Insights with Dr. Alan Simberg
in Nutrition
Life Changing Insights with Dr. Alan Simberg and his guest Dr. Robert Brown:
Native Californian born in Oakland. Majored in Physiology at UC Berkeley going on to UC San Francisco Medical Center to receive a DDS. Began practice in Walnut Creek, CA in 1964 practicing Orthodontia. Northern California Rotarian of the year in 1975. President of Danville Rotary 1978-79. Continued my studies in physiology and medicine beginning the practice of treatment of TMD dysfunction in 1975. Began treatment of obstructive sleep apnea in 2002.
Due to a serious accident I had to retire from Orhtodontics and go full time into
TMJ and Sleep apnea. My advanced studies into alternative medicine led me into a rather unique, holistic, approach to TMJ treatment not treating symptoms with drugs but finding the cause and working with the patient to correct that.
Marilyn Redmond was born in Seattle, WA and graduated from Western Washington University. She has three years of graduate work including the University of Washington. And is a retired school teacher. She is a candidate for a doctorate degree. She was ordained as a spiritual minister to do spiritual counseling along with instruction in healing, regression, past life therapy, and other related spiritual training. She continues to actively participate in courses and researches cutting edge information to help her clients. Currently, she is channeling Ascended Masters, Archangels, and your family member that have past over to the other side.
Alan Alda Day
Well the day has finally come upon us... A day that we choose to honor each and every year... The infamous Alan Alda Day! Join Tommy and LJ as they celebrate the esteemed Birthday of none other than Alan Alda A.K.A. Hawkeye Pierce on his 79th Birthday! The listener lines will be open at 516-595-8269 and the Chat rooms will explode! The Wild Ride begins at 5 PM EST, 2 PM PST and 11 PM UK, Europe and beyond! What are you waiting for? Join the wild ride today!
An interview with Amsterdam-based Sex Coach Alex May
"Upfront & Straightforward" Host Alan Roger Currie interviews popular Amsterdam-based Sex Coach Alex May to discuss how men can learn how to please and satisfy their partners better when engaged in sexual activities
Alex May's main website
Get a FREE copy of Alan Roger Currie's "Mode One: Let the Women Know What You're REALLY Thinking" on Audible.com
Get a FREE copy of Alan Roger Currie's "The Possibility of Sex: How Naïve and Lustful Men are Manipulated by Women Regularly" on Audible.com
Get a FREE copy of Alan Roger Currie's "Oooooh . . . Say it Again: Mastering the Fine Art of Verbal Seduction and Aural Sex" on Audible.com
Alan Roger Currie on Amazon.com
Men and Women 'Taking Time to Get to Know One Another': What does this mean?
"Upfront & Straightforward" Host Alan Roger Currie conducts another one of his provocative "Open Forum Discussion" episodes, with this one centering on the not-so-valid notion of a man and woman taking time to "get to know one another" before having sex and/or before entering into a romantic relationship
Get a FREE copy of Alan Roger Currie's "Mode One: Let the Women Know What You're REALLY Thinking" on Audible.com
Get a FREE copy of Alan Roger Currie's "The Possibility of Sex: How Naïve and Lustful Men are Manipulated by Women Regularly" on Audible.com
Get a FREE copy of Alan Roger Currie's "Oooooh . . . Say it Again: Mastering the Fine Art of Verbal Seduction and Aural Sex" on Audible.com
Alan Roger Currie on Amazon.com
The Adrenal Reset Diet with Dr Alan Christianson
in Health
Showtime: Tuesday, February 17, 2015
Do you experience any of the following?
• afternoon crash of energy
• you rely on coffee to keep going
• difficulty losing weight, especially in the midsection
• sugar cravings
• trouble sleeping
This show is for YOU!! Dr. Alan Christianson, author of the brand new book, The Adrenal Reset Diet, and thyroid/adrenal expert, joins Dr. Lo to discuss adrenal fatigue and how to heal it with nutrition! Don't miss it!
Hosted by Dr. Lauren "Lo" Noel, owner and CEO of Shine Natural Medicine
Gaius Publius Interviews Alan Grayson
Gaius Publius Interviews Alan Grayson: How To Be Effective In a Republican Congress
Alan Grayson is a three-term Democratic congressman from Florida, having just been re-elected in 2012. Grayson is easily the most effective Democrat in Congress, progressive or otherwise, having passed 33 pieces of legislation in the previous House session alone.
In this pre-recorded conversation with Gaius Publius, he reveals how he "cracked the nut" that allows him to get progressive legislation passed. Part of his secret — his goal is to be a person who "gets things done for the progressive movement," not a person who introduces bills and "then does nothing" with them. In the last two weeks of the last Congress alone, for example, he passed 15 progressive amendments.
Grayson discusses what he learned in his one term away from Congress (he lost re-election in 2010); how he deals with Democratic leaders when those leaders want the wrong thing; what he thinks of the current global climate situation; and touches on issues like TPP and prosecution of elected and appointed officials for torture.
Grayson on Twitter: @AlanGrayson. Gaius on Twitter: @Gaius_Publius. Keep up with Grayson's writing at AlanGraysonEmails.tumblr.com.
Tonight: A Spiritual Journey with Alan Watts
in News
Special unfiltered, uninterrupted epsiode tonight with talks by the great Alan Watts.
- A Spiritual Journey As The Self
-How Could This Happen To Me?
Lost Arts Radio Show #8 - Special Guests Alan Phillip & Dr. Rebecca Carley
in Health
Alan Phillips, J.D. (www.vaccinerights.com) is the only attorney in the U.S. whose practice is focused solely on vaccine exemptions and waivers. He advises individuals, families, attorneys, groups and organizations throughout the U.S. on vaccine exemption and waiver rights; supports legislative initiatives aimed at expanding vaccine freedom of choice; is published internationally on vaccine health and legal matters; has appeared at rallies, conferences throughout the U.S., and hosts two weekly radio shows discussing vaccine rights issues. Alan is also a regularly featured writer for Natural News, GreenMedInfo.com, Liberty Roundtable, and the Pastoral Medical Association.
Dr. Rebecca (Roczen) Carley received her Bachelor's degree in Diagnostic Ultrasound, attended medical school (and received the Samuel L. Kountz award for clinical excellence in surgery at graduation), and trained to be a general surgeon at State University of New York at Downstate Medical Center in Brooklyn. Dr. Carley also worked as an attending Emergency Room physician at Kings County Medical Center in Brooklyn (which is the primary training affiliate for Downstate students), and is the largest hospital (and busiest trauma center) in the United States.
In recent weeks, we have witnessed the roll out of a massive promotion of vaccination by government, media and their partner corporations in the U.S. and elsewhere. The clear goal is a massive increase in the number of vaccines being administered to the public and especially to children, the demonization of those who choose to avoid vaccines, the goal of forced vaccination, and the increasingly common suggestion that those who question the religion of vaccination "science" should be put in prison for daring to question its validity.
Life Changing Insights with Dr. Alan Simberg
in Health
Life Changing Insights with Dr. Alan Simberg with his guest Denny Chapin:
Co-founder of TheraThink, AllTreatment, and explorer of ideas. Denny loves to interview mental health practitioners to better understand their problems and solutions, all with the goal of making the professional side of behavioral health a little easier, faster, and less expensive. Denny founded AllTreatment.com, a drug rehab center directory and substance abuse information resource, dedicated to educating and helping those struggling with chemical dependency nation-wide.
Valentine's Day Episode: Is the concept of 'True Love' valid? or Overrated?
"Upfront & Straightforward" Host Alan Roger Currie invites his male and female listeners to call into the show and discuss whether or not they believe in the romantic concept of 'true love' and the idea of "finding one's soulmate"
Scheduled to contribute to the discussion: Dr. Karla Booker
Dr Karla Booker being interviewed by Dr. Mike Sevilla
Get a FREE copy of Alan Roger Currie's "Mode One: Let the Women Know What You're REALLY Thinking" on Audible.com
Get a FREE copy of Alan Roger Currie's "The Possibility of Sex: How Naïve and Lustful Men are Manipulated by Women Regularly" on Audible.com
Get a FREE copy of Alan Roger Currie's "Oooooh . . . Say it Again: Mastering the Fine Art of Verbal Seduction and Aural Sex" on Audible.com
Alan Roger Currie on Amazon.com
THE BATTERS BOX with Bryan Yates & Alan Z
in Baseball
Join Alan Zlotorzynski & Bryan Yates from NHL on the Ice and The NFL Standard as they deliver their new baseball show, THE BATTERS BOX with Yates & Z tonight at 7:00 p.m.
Tonight on the premier episode, the guys start with news and notes from around the world of MAJOR LEAGUE BASEBALL.
With all but two teams participating in full workouts, the guys begin their spring training preview with the NL East and the AL East. Will the Washington Nationals run away with the NL East and who will win the wide open AL East? Alan & Bryan have the answers.
The dynamic duo will then get you set for your fantasy baseball drafts as they breakdown the top players in this year's field.
You will not want to miss any of the action starting at 7:00 and running two full hours. Follow the guys on Twitter @zlotsports & @YatesNFLStand
- ...


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Shirley Meisels
Boys Room
Oops! Harlequin have a very similar robot wallpaper. Check it out. (they are in the UK)
can come in single or double rolls etc. so hard to say.
I believe it was Robots blue.
Good luck!
joseph likes the robot pattern. He says Legos would be cool also
with fun patterns, colors and shapes. We chose robot wallpaper, but stopped short of a robot rug and robot bedding. I think the mix of a little of this
with fun patterns, colours and shapes. We chose robot wallpaper, but stopped short of a robot rug and robot bedlinen. I think the mix of a little of this
wallpaper your child might soon outgrow. Wallpapering one wall, like with these robots, is a good way to get the impact while saving yourself a lot of removal
robot theme. nice texture n patterns
Letto — Michela Cioverchia
Leire Sol García Asch
Robot Toddler room
Where did you purchase the large robot wall art?
A print of the robots ?
Thank you
Great work :))
Hi, did anyone get info on the large robot print???
Hi Liere Sol Garcia,
I am interested in the large robot/ space craft picture. Can you send me your pricing and how to order picture
I would love information on the robot in space wall art. How big can I get the print and how much does it cost
RobotsThere's something so pleasingly retro yet futuristic about robots. The classic depiction hasn't moved on since the 1970s, which is probably why they're
out for robots on cushions, bed linen, prints and wall stickers, or go for a mural, as here. Don't forget to display some vintage clockwork robots on shelves
Quarto com quadrinhos coloridos — fernandafritx
Anita Roll Murals
Anita Roll
Fun boys room with a robot/space theme. The interior design as well as the great window treatment were designed by Atlanta designer Angela Hogan. Mural
credit/Anita Roll. This room was featured in Good Homes India/May 2013. Robot bedding is from Land of Nod.
Robot and space theme for boy's room...Robots motiff...robots
rocem socem robots...Interesting how about robots...Paintings and robot...Robot room. Cool!...Cool robot theme
Because it has a robot — kmviolanti
StudioLAB, LLC
Upper West Side Combo
I love this robot picture! Were can I find it?
a few random pictures on the wall (robot, snoopy) and enjoy.
Underbed drawers give more space-saving storage options. Despite the robots, toys and framed prints, this tween boy's room can easily transition into a
Robot and snoopy decorations...Robot picture...Chair! Finn loves robots!...robot pictures and shelves...shades and robots
Paint — Jennifer Holmes McCullum
FrontDoor Communities
Robots, stripes on wall, framed artwork
Cool stripes and cute robot bedding. Samuels
Robot Theme...robot bedspread...Robot bedding
stripes — gonzalessg
Jennifer Hagler
Jennifer's house
différentes formes, mignonnes et attractives, tels que des animaux, des robots, des clowns, des nuages, des maisonnettes, des guitares ou encore des étoiles
plus improbables et rigolotes. Des transports en commun, en passant par les robots, les personnages de cinéma ou encore les fruits ou les gâteaux, il y en
Robot pillow — Courtney Deeren
Sarah Greenman
Dallas, TX: Stolp
The robot artwork. Lovely room all round.
Kids room - robots
Kids room - robots — chrispbacon
Falken Reynolds Interiors
Robot art — goldmolly


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Ummm stay on here for Anime, but for finding girls then try E Harmony or something...
Type: Posts; User: KenshinHimura; Keyword(s):
Ummm stay on here for Anime, but for finding girls then try E Harmony or something...
Hello! This one welcomes you here.
This one also hopes we can be friends ^^.
This one is not familiar with such a video game. That he is not, but glad to have meet all of you that he is. This one is also Sure Death is a very kind person, and is glad to have you as a alliance.
This one is very thankful of these ones kindness.
Thank you ^^
This one is reading Rurouni Kenshin.
This one enjoys the use of characters in the storyline that he does.
Also the honor within the swordsmanship.
This one has wandered into this forum, that it is.Opportunity for roleplaying, and meeting new people is what this one wishes. These obligations might just be fulfilled, and that is that.


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Article ID: 131198 - View products that this article applies to. This article was previously published under Q131198 This article has been archived. It is offered "as is" and will no longer be updated. SUMMARY
Support for long file names is included in Visual FoxPro so that it will
work properly with Windows 95 and Windows NT.
The following is a list of all Visual FoxPro commands modified to support
long file names:
ADIR() SET PATH APPEND FROM SET PRINTER APPEND GENERAL SET PROCEDURE APPEND MEMO SET RESOURCE BUILD APP SET TEXTMERGE BUILD EXE SET VIEW BUILD PROJECT SORT CALL SYS(6) COMPILE SYS(7) COPY FILE SYS(16) COPY INDEXES SYS(101) COPY MEMO SYS(2000) COPY STRUCTURE SYS(2003) COPY STRUCTURE EXTENDED SYS(2004) COPY TAG SYS(2005) COPY TO SYS(2014) CREATE SYS(2019) CREATE CURSOR TYPE CREATE FORM USE CREATE LABEL CREATE PROJECT CREATE QUERY CREATE REPORT CREATE SCREEN CREATE TABLE CREATE VIEW DELETE FILE DELETE TAG DO ERASE EXPORT EXTERNAL FCREATE() FILE() FILER FOPEN() IMPORT INSERT INTO JOIN LABEL LOAD LOCFILE() MODIFY COMMAND MODIFY FILE MODIFY LABEL MODIFY MENU MODIFY PROJECT MODIFY QUERY MODIFY REPORT MODIFY SCREEN PUTFILE() RELEASE LIBRARY RELEASE MODULE RENAME REPORT RESTORE FORM RESTORE MACROS RESTORE WINDOW SAVE MACROS SAVE TO SAVE WINDOW SELECT-SQL SET ALTERNATE SET DEFAULT SET DEVICE SET FORMAT SET HELP SET INDEX SET LIBRARY PropertiesArticle ID: 131198 - Last Review: February 21, 2014 - Revision: 1.1


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Ordering for a Team? Let our Team Division Help!
Item has a Minimum Qty
Specifically designed for fitness swimmers, this Elastomeric Solid Silicone Swim Cap is the softest and most comfortable cap you'll wear in the water.
These are Great... A lot more stretchy then regular silicone, they are softer to the touch and do not stick to the girls hair and pull like other silicone caps. They don't cut off the circulation in their head either, but the stay on tight! I have recommended these to our other swim friends and highly recommend!
This cap doesn't squeeze your head like it's in a vice, doesn't rip your hair out and doesn't require constant adjustment. It's lightweight, stretchy and soft yet durable and streamline. As a lifelong swimmer, I''ve worn many caps over the years and this is definitely the best one. Way to go, Speedo!
I bought this cap because my latex caps all roll at the edges, and the silicone caps I've tried are just too tight and give me a headache (and put so much pressure on the tops of my ears, where I have some piercings). This cap is stretchy, soft, comfy- and it doesn't roll. Stays in place for the most part (I have to tug it down a few times per workout, but this isn't really a problem compared to past swim cap drama). No headaches!
I didn't think there was that much difference is silicone swim caps but this one is great. It doesn't slip. Great for lap swimming.
It is comfortable
Get an alert when we add new styles of Speedo! Simply sign up and we'll notify you.
The world's leading swimwear brand, Speedo is passionate about life in and around the water. The brand's heritage of innovation derives from its leadership in competitive swimming, where more Olympic Gold Medals have been won in Speedo than any other brand. Using the pioneering technology created for the planet's top swimmers, Speedo brings performance, comfort and style to all who enter the water, whether racing for a record finish, swimming laps for better health or making memories at the beach.
Our Performance Collection includes the competition and training suits that remain the number one choice of the world's fastest swimmers; our Fitness and Active Recreation Collections feature men's and women's swimwear, men's water shorts, and kids swimwear in fashion-forward styles that are designed to perform. And with Speedo's expanded range of Footwear, Packs, Aquatic Fitness and Swim Training Equipment, our Accessories Collection is unmatched in performance, fit and feel. No matter why you dive in – training, fitness or fun – those moments in the water are always better with Speedo.


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Drug Abuse & Alcoholism and Social Security Disability. Co-Chair Paul Eaglin will lead the discussion on drug abuse and alcoholism, often abbreviated as DA&A or DAA. It is the claimant's burden to show that DAA is NOT material where there is a finding of "disabled" in the five-step sequential evaluation of disability. View the materials for the meeting. 1 General CLE Credit.
For more section information, please contact co-Chairs Paul Eaglin at email@example.com or 907-374-4744; and Paula Jacobson at firstname.lastname@example.com or 907- 727-0024.


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Bozeman has to take a closerSubmitted by Jeremy Smith (not verified) on Mon, 11/07/2011 - 7:57pm.
Bozeman has to take a closer look at the budget-What? She doesn't know what she voted on. Farris said,"Being a council member at this point in Leland's life is somewhat more complicated maybe than it was several years ago,"- yep, it's hard work keeping up with all of the lies. »
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