text: Sales representatives - claiming work-related expenses If you are employed as a sales representative, you may be entitled to claim a tax deduction for certain work-related expenses, including: car travel uniform, occupation specific or protective clothing, laundry and dry-cleaning self-education other – such as phone, tools and equipment. There may be other deductions you can claim that are not included here. See also: Deductions you can claim Note: When you complete the declaration on your tax return you are declaring that everything you have told us is true and you can support your claims with written evidence. You are responsible for providing proof of your expenses, even if you use a registered tax agent. Income Individual tax return instructions questions 1–12 and Individual tax return instructions supplement questions 13–24 deal with income. This section of the guide tells you how to include allowances, reimbursements, reportable fringe benefits and reportable employer superannuation contributions on your tax return. Allowances If any allowance is shown as a separate amount on your payment summary, include it as income at item 2 on your tax return. You must include the whole amount of any allowance you received. You cannot automatically claim a deduction just because you received an allowance. See also: Allowances and other employment income Reimbursements You cannot claim a deduction for expenses you incur if those expenses are reimbursed to you by your employer – you do not include a reimbursement on your tax return. Reportable fringe benefits Your employer is required to report the total grossed-up amount of certain fringe benefits exceeding $2,000 (a grossed-up taxable value of $3,921) provided to you or your relatives on your payment summary. You do not include this amount in your total income or loss amount and you do not pay income tax or Medicare levy on it. However, the total will be used in determining whether certain surcharges apply to you, whether you can claim certain deductions, and to establish whether you are eligible for certain tax offsets and other government benefits. See also: IT1 Total reportable fringe benefits amounts Reportable fringe benefits – facts for employees. Reportable employer superannuation contributions Your employer is required to report the amount of reportable employer superannuation contributions on your payment summary. If your payment summary shows an amount at 'reportable employer superannuation contributions' and you do not salary sacrifice amounts to superannuation, then you should ask your employer to confirm that the amount of reportable employer superannuation contribution on your payment summary does not include compulsory contributions such as super guarantee or award contributions. We will not include reportable employer superannuation contributions in your income and you will not pay income tax or Medicare levy on it. However, we use reportable employer superannuation contributions to determine your eligibility for some tax offsets, the government super co-contribution and other government benefits, and whether the Medicare levy surcharge applies to you. See also: IT2 Reportable employer superannuation contributions Reportable fringe benefits – facts for employees Work-related deductions In most situations, you can claim deductions for work-related expenses as long as your claim meets the following conditions: you incurred the expense in doing your job the expense is not private (for example, travel to and from work, and most meals) you can show you incurred the expense by producing receipts or other written evidence unless an exception applies. However, there are some instances where you have to meet other conditions, some of which are mentioned below. If you are claiming a deduction for an expense that you incurred partly for work and partly for private purposes (such as mobile phone costs), you can only claim that portion of the expense that relates to your work use. See also: Claiming deductions Daily travel expenses You can claim a deduction for the cost of transporting bulky tools and equipment between home and work if: you need to use them at work there is no secure area for storing them at your workplace. You can claim a deduction for the cost of travelling between workplaces on the same day. This includes travelling between: different workplaces for the same employer, or separate places of employment. You can claim the cost of trips between home and work if you have shifting places of employment; that is, you regularly work at many places each day before returning home. Example 1 Nadeem is a sales representative who travels from his normal workplace to his employer's head office to attend a meeting. After the meeting he travels directly back to his normal workplace and then home. Nadeem can claim the cost of each journey between his workplace and head office as a deduction as the trips are for work purposes. End of example Example 2 Patricia is a sales representative who looks after a large number of clients. Patricia has a regular weekly pattern of travelling directly from home to many clients before going into the office to finalise her paperwork. Patricia can claim a deduction for travel as she has shifting places of employment. End of example Example 3 Sue is a sales representative who uses a laptop computer in the office and when she visits clients. She carries the computer to and from work in her car. As the computer is not considered bulky equipment, she cannot claim a deduction for her travel costs to and from work. End of example See also: Vehicle and travel expenses Daily travel expenses you cannot claim You cannot claim a deduction for the cost of normal trips between home and work, even if: you did minor tasks – for example, picking up the mail on the way to work or home you were on call there was no public transport near where you worked so you used a car you worked outside normal business hours - for example, shift work or overtime you used your own vehicle to travel from home to work to collect a work vehicle. Motor vehicle provided by your employer or any other person You cannot claim a deduction for car expenses if your employer or any other person provides a car for you and you do not pay for any of the running costs. You cannot claim a deduction for any expenses you incur for the direct operation of a car that your employer provides and that you or your relatives use privately at any time, even if the expenses are work related. Such expenses form part of the valuation of the car for fringe benefits tax purposes. Keeping records The records you need to keep and how you work out your claim will depend on whether the vehicle you use is considered to be a car and whether you own or lease it. Your vehicle is considered not to be a car if it is: a utility, truck or panel van with a carrying capacity of one tonne or more a vehicle with a carrying capacity of nine or more passengers, or a motorcycle. If your vehicle is not a car, see Vehicles other than cars. Working out your car expenses There are some changes to work-related car expense deductions from 1 July 2015. Below is a breakdown of the methods and calculations which applied from and before 1 July 2015. From 1 July 2015 – two methods The government has simplified the car expense deductions for 2015–16 and future income years. From 1 July 2015, the one-third of actual expenses method and 12% of original value method have been abolished. The two methods available from 1 July 2015 are: cents per kilometre method (with some changes) logbook method (with no change to its rules) The cents per kilometre method When working out your deduction using the cents per kilometre method: you do not need receipts or other written evidence but we may ask you to show how you worked out your estimate of business kilometres. For example by using a diary of work-related travel by basing your costs on a regular pattern of travel you can claim only up to the first 5,000 business kilometres you travel. The logbook method To work out your deduction using the logbook method, you must keep: a logbook odometer records, and receipts and other written evidence for all your car expenses. You can use your odometer readings to estimate your fuel and oil costs instead of keeping receipts. Before 1 July 2015 – four methods For 2014–15 and earlier income years, there are four different methods for claiming work-related car expenses when using your own car, or one you leased or hired under a hire-purchase agreement. The four methods are: Cents per kilometre method 12% of original value method One-third of actual expenses method Logbook method Car expenses are claimed at itemD1 Work-related car expenses on your tax return. See also: Calculating your deductions Work-related car expenses calculator Vehicles other than cars If your vehicle is not a car – for example, a van or ute with a carrying capacity of more than one tonne – you must keep records for all expenses you incurred. Those records may include receipts for: fuel and oil repairs and servicing interest on a car loan lease payments registration. If you use your vehicle for work and private use, you can use a diary to show how much of those expenses relate to business and personal use of the vehicle. You claim these expenses at item D2 Work-related travel expenses on your tax return. See also: Vehicle and travel expenses Other daily travel expenses You will also need to keep records for other daily travel expenses such as: car parking bridge and road tolls taxi and bus fares. You claim these expenses at item D2 Work-related travel expenses on your tax return. Self-education expenses You can claim a deduction for self-education expenses that have a sufficient connection to your current work activities. Self-education could include a formal course or attendance at a seminar. When are you eligible You may be undertaking a course related to your current job in order to obtain a formal qualification from a school, college, university, or other place of education. For the course to sufficiently connect to your current work activities: it must maintain or improve the specific skills or knowledge you need in your current work activities, or it will result in, or is likely to result in an increase in your income from your current employment. Example 4 Kieran is a computer sales representative who takes six months leave without pay to undertake a business administration course. His employer has agreed that if he completes the course successfully, he will be promoted to the position of Assistant Manager. As the course is likely to lead to an increase in Kieran's income, he can claim a deduction for the costs he incurs to do the course. End of example Example 5 Kostas is a computer sales assistant who attends a trade fair organised by a number of the major computer companies at a venue away from his normal place of work. The trade fair is designed to keep him abreast of developments in the field of computers and accessories. The cost of attending the trade fair is $500, which includes entrance fees, travel to and from the trade fair, accommodation and meals while at the trade fair location. Although the trade fair is not an education course, Kostas can claim a deduction for the expenses he incurs that relate to the trade fair. As Kostas paid a single amount that covered all his costs he claims that amount at item D5 Other work-related expenses on his tax return. End of example You can generally claim study-related items such as: textbooks course fees stationery internet access student union fees travel expenses to and from the place of education decline in value (depreciation) of equipment you use in your study, such as a computer. You can only claim the decline in value based on how much you use the equipment for study purposes. For example, if you use your computer half for private purposes and half for study purposes, you can only claim half the decline in value. If your self-education expenses relate to a course you undertook at a school, college or university, you may have to reduce your allowable self-education expenses by $250. This reduction does not apply to all self-education expenses. When claiming your self-education expenses, claim your: course costs at item D4 Work-related self-education expenses conference and seminar costs at item D5 Other work-related expenses. See also: Self-education expenses calculator When are you ineligible? You cannot claim a deduction for your self-education expenses that do not have a sufficient connection to your current employment even though they: might be generally related to it enable you to get a new job. Example 6 Brianna, a sales representative, was having difficulty coping with work due to stress brought about by difficulties with her family situation. She decided to attend a four-week course in stress management to help her deal with the situation. Brianna attended the course after hours and paid for it herself. Brianna cannot claim a deduction for the cost of the course because it was not designed to maintain or increase the skill or specific knowledge required in her current position. This means the course is not sufficiently connected with her work activities. End of example Example 7 Jackie is in her fourth year of her marketing degree when she takes a job as a part-time sales assistant in a local pharmacy. The course and the job are generally related but the high level professional skills Jackie obtains from her course are well beyond the skills required in her current job. Jackie cannot claim a deduction for the cost of her course because it is not sufficiently connected to the work she does as a sales assistant. End of example Keeping records of self-education expenses You must keep records and these can be: receipts or other written evidence of your expenses, including receipts for depreciating assets you have purchased diary entries you make to record your small expenses ($10 or less) totalling no more than $200, or expenses you cannot get any kind of evidence for, regardless of the amount a diary you have created to work out how much you used your equipment, home office, phone and internet for self-education purposes over a representative four-week period. See also: Self-education expenses Work-related home office expenses If you perform some of your work from a home office, you may be eligible to claim a deduction for the costs you incur in running your home office, including: the decline in value (depreciation) of home office equipment, such as, computers and telecommunications equipment. If your equipment costs less than $300, you can claim a full deduction for the work-related portion work-related phone calls (including mobiles) and phone rental if you can show either of the following apply you are on call you have to phone your employer or clients regularly while you are away from your workplace heating, cooling and lighting the costs of repairs to your home office furniture and fittings cleaning expenses. Occupancy expenses Occupancy expenses include rent or mortgage interest, council rates and house insurance premiums. As an employee, you are generally not able to claim a deduction for occupancy expenses. Example 8 John, a textile sales representative, contacts his clients from home a week in advance to arrange sales meetings. He also has to contact his employer regularly to report issues as they arise. John is entitled to claim the cost of his work-related phone calls and phone rental. End of example See also: Home office expenses calculator Home office expenses Keeping records of home office expenses You must keep records and these can be the following: receipts, or other written evidence of your expenses, including receipts for depreciating assets you have purchased diary entries you make to record your small expenses ($10 or less) totalling no more than $200, or expenses you cannot get any kind of evidence for, regardless of the amount itemised phone accounts on which work-related calls can be identified a diary you have created to work out how much you used your equipment, home office and phone for business purposes over a representative four-week period. You claim your home office expenses at item D5 Other work-related expenses on your tax return. Example 9 Ingrid is a sales representative. She uses a computer and combined printer and fax located in her home office for both work and private purposes. She maintains a diary for a four-week period to show the dates, time and purpose of use of these items. Based on this diary, she works out that 78% of her use is for work purposes. Ingrid can claim 78% of the depreciation on these items as a deduction. End of example Clothing, laundry and dry-cleaning expenses You can claim a deduction for the costs you incur when you buy, rent, repair or clean your work clothing. Work clothing includes: compulsory uniforms and corporate wardrobes single items of distinctive clothing such as a jumper, shirt or tie with the employer's logo a non-compulsory corporate uniform if your employer has registered the design with AusIndustry protective clothing. You can claim a deduction for the cost of washing, drying and ironing your work clothing as laundry expenses. This also includes laundromat expenses and the actual cost of dry cleaning. You claim the cost of buying, renting, repairing and cleaning occupation-specific clothing, protective clothing and certain work uniforms at item D3 Work-related uniform, occupation specific or protective clothing, laundry and dry-cleaning expenses on your tax return. See also: Clothing, laundry and dry-cleaning expenses Clothing, laundry and dry-cleaning expenses you cannot claim You cannot claim a deduction for the cost of purchasing or cleaning a plain uniform or conventional clothing you wear to work, even if your employer tells you to wear them. This includes: clothing you wear for medical reasons, such as support stockings conventional clothing that is damaged at work everyday footwear such as dress, casual or running shoes. Example 10 Mike is a sales representative. At work, Mike has to wear shirts his employer provides. Each shirt has his employer's company logo embroidered on it. As part of his uniform, he also has to wear black pants and black shoes. Mike can claim a deduction for the cost of laundering the shirts as it is a distinctive item with the employer's logo. However, he cannot claim the cost of purchasing or cleaning his black pants or shoes as they are items of a conventional nature. End of example Keeping records of clothing, laundry and dry-cleaning expenses You do not need to keep receipts or other written evidence of your claim if the total amount of your laundry expenses is less than $150 and your total claim for work-related expenses is less than $300. However, you must be able to show how you worked out your claim. If your claim for laundry expenses is $150 or more, or your total claim for work-related expenses is $300 or more (not including car, meal allowance, award transport payments allowance and travel allowance expenses), the records you must keep include: receipts, or other written evidence of your expenses diary entries you make to record your small expenses ($10 or less) totalling no more than $200 expenses that you cannot get any kind of evidence for regardless of the amount, for example, a diary record of your laundry costs. A guide for sales representatives on common work-related expenses, and how to claim them.Last modified: 29 Jun 2017QC 21830


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Republicans on Tuesday trumpeted what they view as a second fatal blow to Obamacare, the president's signature legislative achievement, after the revelation that the Obama administration had delayed until 2015 the law's cap on out-of-pocket costs for medical care.
"First, it was Christmas — and now it's our birthday," said a giddy senior House GOP leadership aide.
GOP leaders were already getting traction from the Obama administration's decision to delay until 2015 the mandate requiring larger employers to purchase health insurance for their employees.
With the health care overhaul's delay on limits for out-of-pocket costs, Americans will continue to pay more than promised for their health care, undermining Obama's call for more affordable coverage.
The latest argument from Republicans, who have voted 40 times to defund or repeal portions of Obamacare: Which of the president's health care promises have gone as planned?
And House leaders are trying to stoke the charge that Obama is looking out for special interests at the expense of ordinary Americans who will still be forced to buy insurance through the individual mandate.
"Once again the president is giving a break to big businesses struggling with his health care law while individuals and families unfairly remain stuck under its mandates," said House Speaker John Boehner. "This report is just the latest evidence that the law is too costly and too complex to work — and that it's not being implemented fairly."
The administrative change was approved in February, but was only recently discovered in a cryptic online explanation of the new law on the Labor Department's website.
The implementation of the Affordable Care Act will certainly hang over the 2014 mid-term elections. Aware of the major political liability, senior Obama administration officials have repeatedly reached out to skittish Democrats to convince them the health reforms won't doom their re-election chances.
A growing number of Americans, including Democrats, are souring on the president's health care reforms, a series of recent polls found.
But Democrats are starting to get more aggressive in their defense of Obamacare. On Tuesday, the Democratic Congressional Campaign Committee targeted 60 House Republicans who pushed for repeal of the law.
For example, the liberal group ripped Rep. Gary Miller, R-Calif., among others opposed to Obamacare.
"Americans want their premiums to go toward benefits," the DCCC said in a release targeting his district, "but Congressman Miller would rather go back to the dark days when insurance companies spent the hardworking California families' money on bigger bonuses and higher administrative costs."

subset: commoncrawl


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SEM and Online Publicity
Writing, linking, and thinking about SEO: a primer for writers, journalists, and PR professionals.
Writing, linking, and thinking about SEO: a primer for writers, journalists, and PR professionals.
Journalists, PR professionals, online publishers, freelance writers — these groups hunger for publicity, both on- and offline.
Journalists and freelance writers not only want their articles to be featured in newspapers and magazines, they also want their writing to be discovered through Google and Yahoo searches. Online publishers want to increase their readership to sell more advertising space.
Search engine marketing (SEM) is often a large part of online publicity campaigns. However, these professionals often overlook this component of the online industry.
Case Study 1: PR Firm
A few months ago, a representative from a well-known online marketing company read one of my columns on online advertising. As the company had recently added a form of advertising as a new product feature, it asked if I were interested in writing another article.
Why not? I was up for writing another piece on the topic.
I sent the company a set of interview questions, which was promptly handed off to the PR firm. I was very impressed with the PR firm's responses. The article practically wrote itself.
As a search engine marketer, I knew how to optimize the article for search engines. I made sure the title and first paragraph contained targeted keyword phrases. I added section headings to make the content easier to scan and help with keyword density and keyword prominence. In other words, I did exactly what any search engine optimizer would do.
After editing and optimizing, I sent the company a draft to ensure company representatives were quoted accurately and all content was factually accurate.
Again, the company promptly handed the draft to its PR firm.
The article was returned to me with several major edits. The PR firm changed my title and headings and eliminated keyword-rich sentences.
At first, I wondered what was wrong with the title and headings. I have written for this online publication for years. I based the headline on previous articles on this topic. My suggested title not only matched the publication guidelines, it was also search-engine friendly.
Thinking I was having a diva moment, I checked in with some colleagues for objective feedback.
"Because flashy headlines and body copy can conceal the subject and context of a story, they often work against search engine ranking efforts," says Peter Hershberg, managing partner at Reprise Media. "The best approach is almost always the simplest: straightforward writing that is rich in your keywords and phrases."
"If you want readers to actually be able to find your articles at a search engine, you need to remember that you're writing for an expansive, highly organized catalog of data, not the New York Post," continued Hershberg. "You need to feed these catalogs the information they need to accurately classify and rank your story, not tease them or make them chuckle. The copy you end up with may not be as sexy, but it will have a significant impact on your visibility in the search engines."
Great, I thought. My colleagues agree with me. But the company liked what the PR firm wrote. Since I wanted to make the company happy, I submitted the article with the PR firm's modifications.
Six months later, out of curiosity, I decided to compare the search engine visibility of the two articles. Search engine marketer vs. PR firm. This could be interesting. I also checked the back links to each article. Guess which article consistently outranks the other?
Score two points for the search engine marketer.
Case Study 2: Online Publisher
I wish I could say this was the only time my search-engine friendly copy was modified. Recently, I discovered some untapped keyword phrases about usability and site design. Perfect opportunity for me to write an article.
I knew the publisher's CMS took title content and used it as content for the HTML title tag. The title is also used in email newsletters.
One of my clients, MedicineNet.com, is a health and medical publisher that uses a similar CMS. "Selecting and placing the correct medical keywords in our doctor-written articles is essential for people to find them in the search engines," said David Sorenson, VP of marketing. "For example, people search for 'heart attack' and not 'myocardial infarction.' It took some training for our doctor-writers to adapt to this online writing mentality, but now it is second nature."
In the Web design industry, people commonly search for abbreviations (DHTML = dynamic HyperText Markup Language; CSS= Cascading Style Sheets, etc.). I knew I had to use both the abbreviations and the spelled-out words throughout the article.
"When we write and publish articles, we make sure to include the medical abbreviations, since medical abbreviations are often more common than the full name," Sorenson confirmed. "For example, Gastroesphageal Reflux Disease is also known as GERD. We include both names in the page title."
I broke up the article with meaningful, keyword-rich headings. I made sure enough sexy content was above the fold. I submitted my fully optimized article for publication.
Imagine my surprise when the published article contained no keywords in the title and no abbreviations. My golden opportunity to write an article on a specific topic, and the online publisher edited out my important keyword phrases! Was I having another diva moment, or was I experiencing déjà vu?
Tips for Online Publishers, Journalists, and PR Firms
Online publishers, journalists, and PR firms should get serious about search.
"Writers need to consider what they're trying to accomplish when they publish something online," said Hershberg. "If they want their articles to get out to a broad audience and be highly visible, they need to understand that they ultimately have to write for two groups: their readers and the search engines."
Journalism, marketing, and technical writing classes may not contain enough information about search-friendly copywriting. Here are some general guidelines to make your press releases and articles achieve more search engine visibility:
Want more search information? ClickZ SEM Archives contain all our search columns, organized by topic.


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Bludgeoning Aspiration to Get to Equality
There is no more fateful failure of modern political thought than its failure to distinguish between elitism and social exclusivity. From this failure stems an enormous, costly, and increasingly intolerant attempt to rectify what is not wrong in the first place. One fights chimeras the better to avoid confrontation with real enemies.
The Bad Social Consequences of Substantive Equality: French Edition
I am going to Paris this weekend, because the OECD invited me to present on law and technology. A visit to the city of lights should be a delight, but sadly it looks like mine will be darkened by national strikes. Unions are trying to pressure the Socialist government to drop mild reforms to French labor laws that would make it somewhat less expensive to discharge workers. Currently, workers who are not on short-term contracts have close to life tenure. The absurdity of this regime was underscored just this week, when a French labor tribunal held that a bank wrongly discharged a worker who had caused it billions of dollars of losses through illegal trades!
The sturm und drang about moving France ever so incrementally toward a free market shows the continuing importance of a nation's founding principles. Our revolution and Constitution embedded principles of classical liberalism in the DNA of America. In contrast, the French Revolution created an enduring political norm demanding substantive equality, not merely equality under law. It is worth looking at the consequences of these different principles, because the renewed focus on inequality in the United States is fundamentally an attempt to make our core political concern be equality rather than liberty.
The Capacity for Self-Government
Alexis de Tocqueville arrived in the United States in the late spring of 1831. His official business was an investigation of American prison reforms as a potential model for France, but his gaze was considerably broader and deeper. Tocqueville's nine-month visit resulted in Democracy in America, a towering achievement that looms even larger in a time like ours, when political attention spans seem to last no longer than the latest trending topic.
Equal Rights for All
Who would argue with the Declaration of Independence's claim that "all men are created equal"?
But one immediately runs into trouble. What about the Declaration limiting it to "men"? Are women equal? They did not have the right to vote at the beginning. Yet, Thomas Jefferson and the other Founders certainly believed women were morally equal and were covered under the generic term "men," for mankind. Was that enough?
How Jaffa's Critics Remember Him
American political science has lost a significant contributor with the demise of Harry V. Jaffa (1918-2015). We mourn the death of Professor Jaffa, and acknowledge that there will be many celebrations of his life and scholarly achievements to appear, especially from his epigones. Important contributions from Ken Masugi and Peter Lawler have already appeared in this space. As a mentor, Jaffa inspired a large number of graduate students who have assumed posts in the academy and government. We call many of these scholars our friends, and continue to appreciate their interpretative approaches and defense of the American political tradition.
He should also be remembered by those of us who disagreed with him.
Harry V. Jaffa: An Inconvenient Thinker
Harry V. Jaffa, who died January 10, at 96, may well be American conservatism's most consequential thinker, for having attempted to re-found conservatism on the basis of its most philosophic principles and most revered figures. He was also one of the most dismissed, berated, and scorned of scholars, earning derision from former friends and those who knew him only from his writing, much of which had become acerbic.
Manufacturing Equality on Campus
Feminism expresses, teaches, and even thrives on a contradiction. Put simply, feminism does not know whether to say that women are capable or vulnerable. If women are capable, they deserve to be independent—particularly of men. If they are vulnerable, they need to be protected, particularly from men.
Today's movement to protect college women from sexual assault, led by the Office of Civil Rights (OCR) in the U.S. Department of Education, is riven right through with that contradiction. So far, universities have meekly submitted to being instructed by what the OCR, with a phrase for the books, calls "significant guidance."
Before delving into the OCR's mandate, it is best to examine the contradiction within feminism that both characterizes and inspires it.
Pantagruel Comes for the Establishment Clause
In the second book of the 16th century novel by Rabelais, the voracious young giant Pantagruel, "large as life and much nosier," is sent to Paris for his education. There he displays prodigious academic aptitude, mastering every conceivable subject with the greatest ease and besting the most able rhetoricians and philosophers in debate. So great is his reputation that he is summoned to adjudicate a law suit—a "controversy so involved and jurisprudentially abstruse that the highest court in the land found it about as clear as Old High German."
Defining America Down
It was inevitable that some supporter of President Obama's would come along and compare his executive action on immigration to the most famous executive order of them all, President Lincoln's Emancipation Proclamation. Yale law professor Bruce Ackerman has done the honors, and his comparison is, not to put too fine a point on it, weak.


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Hey everyone!
So I have been lurking around 40k since 4th ed and have been very hesitant in rejoining. So far 8th is looking very promising!
I have loved the look of the T'au since they were created years ago and had stopped myself from starting them because someone else the group of players would always pick T'au.
So now I am saying screw what anyone else picks. I'm starting T'au and it is looking like I can choose something other than giant walkers now so I'm super excited to get a wide and varied force.
See you all around!


text:
The Director: [entering carrying a newspaper] Here we go
people! [starts reading the review]
Boxing Day! The Lucille Lortel Theatre, blah-la-la-la… Ah-ha! Joey
Tribianni, gives an uneven performance, but Mr. Tribianni is not
the worst thing in this production.
Joey: Yes!!! Ha-ha-ha!
The Director: Kate Miller's
awkward and mannered portrayal is laughable. [Kate walks away depressed.] Badda-badda-badda.
Ah-ha! Here it is! The direction by Marshal Talmant is…
[stops, reads it again, and throws down
the paper in disgust] Thank you, boys and girls, you've
ruined my life. Please, stuff your talentless faces with my
Mother's crab cakes! [Starts to
leave] Excuse me!!
[ Joey steps in a picks up the paper, the gang all look at him.
Joey: Anyone mind if I save


text:
Each year, thousands of unsuspecting Americans fall at home leaving many of them seriously injured and even disabled. In 2010, more than 12,800 people over age 65 died and 1.6 million were treated in emergency departments because of falls.
Falls can occur unexpectedly, even to the most sure-of-foot person. Most falls take place at home, making proactive fall prevention around the house so important. Here are some safety tips to help prevent slips, trips, and falls:
In addition to fall prevention at home, being aware of weather and terrain conditions when you venture outdoors is also important. Easy Comforts offers easy-to-handle products that can reduce hazards and aid in personal stability while away from home.
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what a nice surprise
By tomc
from seattle, wa
Comments about Folding Cane:
This is a great price. Works as well as the canes I paid 3 times the price. Nice feel on the handle, strong and sturdy and the strap is great. I am going to get more to keep in the car, the truck, to have extra.
Bottom Line Yes, I would recommend this to a friend
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Folding cane
By Snork
from Silver Spring, Md
Very pleased. . .especially 'cuz it was available in lilac!
nice cane
By debratino
from port neches Tx.
Have several that I keep around the house to get around with, and keep in the car.
(1 of 1 customers found this review helpful)
I would purchase this product again if necessary...
By Dancer
from NY
This product is very easy to handle and I especially like thefolding feature.


text:
Ron O'Neal stars in this boxing drama. He plays a Baltimore prizefighter named Otis who quit boxing when he accidentally killed a man in the ring. A washed-up fight promoter (Adolph Caesar) trying to get back to the big time teams up with Otis and tries to get him to start fighting again.
Add this movie to your queue to receive more information about
The Hitter and we will let you know when it becomes available.


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portrait photography by peggy iileen• lighting to make your skin beautiful
• direction during the shoot
• attention to detail
• privacy in the studio
• comfort and care
• Sessions start at $225 and includes the dvd of all of the pictures we take.
See my latest work here or find a category of portrait photography below.
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text:
E.L.C.O. Presents "In a Large Reverberant Space"
Sunday, May 31, 7 p.m.
Join the Eclectic Laboratory Chamber Orchestra's musical renegades on a journey to the outer limits of sound as they discover the alien harmonies hidden amongst the echoes! The Eclectic Laboratory Chamber Orchestra presents their latest concoction, "In a Large Reverberant Space." Here, the performance venue of the Union Project's Great Hall becomes an active part of the concert itself, enveloping the audience in an aura of sound. "In A Large Reverberant Space" pairs the music of American experimentalists Pauline Oliveros and James Tenney with E.L.C.O.'s signature art-pop selections, including new arrangements of Radiohead and melancholy bard Nick Drake. The evening also includes the premiere of Alan Tormey's American Idyll, previewed at the Pittsburgh Festival of New Music.
E.L.C.O. is a grassroots collective of young professional orchestral musicians that explores connections between diverse musical genres and traditions by promoting a broad range of repertoire that includes modern classical music, new interpretations of older classical works, and original arrangements of rock and pop compositions.
Tickets are available in advance for $10 apiece at elcopgh.org and sold at the door the evening of the concert for $15 general admission and $5 for students. Visit elcopgh.org for more information.


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Kevin Mason - Attorney
Practice Areas:
Practice Areas:
Real Estate
Residential and Commercial
Leases & Evictions for Landlords
Consumer and Business Bankruptcy - >Chapter 7 and Chapter 13
Business Sales and Purchases
Probate and Will Preparation.
Kevin L. Mason has been serving the legal needs of clients throughout Connecticut since 1985.
If you are in need of professional representation for your bankruptcy, real estate, probate, business purchase, will or landlord matter, please do not hesitate to contact any of our locations. We look forward to speaking with you!


text:
Software Map
Tag cloud | Project Tree | Project List | ADMS.SW meta-data
Project tree
Now limiting view to projects in the following categories:
Topic :: Internet :: WWW/HTTP [Remove This Filter]
License :: OSI Approved :: GNU General Public License (GPL) [Remove This Filter]
Browse By:
5 projects in result set.
|0. Axel Download Accelerator - Axel tries to accelerate HTTP/FTP downloading process by using multiple connections for one file. It can use multiple mirrors for a download. Axel has no dependencies and is lightweight, so it might be useful as a wget clone on byte-critical systems.
|Activity Percentile: 21.62
Activity Ranking: 30.00
Registered: 2008-01-07 12:47
|1. Debconf4 Website - Development of the upcoming Debconf4's website.
|Activity Percentile: 0.00
Activity Ranking: 0.00
Registered: 2003-12-13 23:51
|2. web application policy/packaging - webapps-common aims serve as the central point in developing a next-generation web server and web application policy for debian, as well as tools to help those who wish to package such applications.
|Activity Percentile: 0.00
Activity Ranking: 0.00
Registered: 2005-05-01 14:07
|3. Website Meta Language Packaging Team - Team maintenance of Website Meta Language (WML) related packages in Debian.
|Activity Percentile: 0.00
Activity Ranking: 0.00
Registered: 2010-02-28 15:26
|4. Squid (Debian packages) - Effort to provide well-maintained current Squid packages for Debian
Registered: 2013-06-17 18:01


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Adobe Edge and HTML5 Aside, Adobe Still Supports Flash
Full Text Search: The Key to Better Natural Language Queries for NoSQL in Node.js
Adobe's new HTML5 authoring tool, Edge, may be a great PR tool for them, and will likely win some developer's hearts, but don't think that Adobe is ditching Flash any time soon. Even as more websites and apps use HTML5, Flash will still be a standby for backwards compatibility.
HTML5 provides developers with many new opportunities for app development, but it still lacks some features that Flash provides, including, most importantly, digital rights management (DRM) functionality. While there are several DRM schemes under consideration for the specification, it will likely be a while before they make it into the HTML5 specification.
Principal at FivePaths, an internet strategy firm, Eric Leland, discussed the DRM problem, stating that "Flash includes digital rights management features, while in HTML5, users can quickly save videos to their own machines."
Read the original article here.


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What a great day for a ride! Kudos to all participants, especially those who rode the whole 20 mile circuit!
October 13, 2013 … First Tour de Newton ride around the 13 villages. 13 was the lucky number!
What a great day for a ride! Kudos to all participants, especially those who rode the whole 20 mile circuit!
October 13, 2013 … First Tour de Newton ride around the 13 villages. 13 was the lucky number!
On September 16, 2013, the Newton Board of Aldermen gave recognition to the Newton South East Little League Team for their accomplishments this past summer in winning the Massachusetts title. The first Newton Little League team to do so since 1998. Known as "the Comeback Kids", this tenacious group of thirteen 11 and 12 year olds fought their way back on 9 occasions on their way to the championship. Though they did not make the top 4 at the New England regionals, their team spirit and positive attitude earned them a bat salute from their competitors.
The Newton Youth Dragonboat team had a great maiden voyage on the Charles River in the 2013 Boston Dragonboat races celebrating the Dragonboat Festival. Comprised students from both Newton North and Newton South, the Newton "Crouching Tigers" paddled to victory in the Youth Division. Yup, that's Greer sitting in the drummer seat. Both Greer's son and daughter are also on the boat.
Well, it seems to be that time of year. So that we may continue to enjoy our community resource in Wellington Park (in West Newton), several volunteers got together Sunday morning and cleared away some serious invasive plants that would choke our trees and floral plants if we let them. Co-ordinated by Ann Borg (pictured far left).
May is always the month to honor the men and women who served our country who were willing to make the ultimate sacrifice of their lives so that we may continue to live ours with freedom. Many of them did.
As we do every year, the Girl Scouts and Boy Scouts of Newton gather at the Newton Cemetery to pay respects and honor each soldier buried there by planting flags at every soldier's grave. Do you know of a soldier to honor? Flags are available at the Veterans' Affairs office at City Hall.
Though not running for re-election this year, Greer remains active in the Community. Serving as MC, youth activities coordinator and panelist during Newton Cultural Awareness Month. We hope to make this the first of an annual tradition!
Welcoming the Year of the Snake with the Greater Boston Chinese Cultural Association and honoring our long time patrons.
What an honor it has been to work with some of the most open minded and dedicated people that I have had the good fortune to meet along the campaign trail.
I am incredibly disappointed by the results, but it was NOT for lack of work, heart and support. We may have lost, but we were not beaten.
The numbers don't tell the whole story.
I know we got people's attention. I thank my supporters for that. And I thank the people of Newton for opening your doors and sharing your concerns.
You are worth working for and you are worth fighting for.
Our campaign gave voters a choice. I am proud to have been an independent voice, to have been the cause for people to stop, think and make a conscious decision.
I will continue to fight for choice. There would be no freedom if there was no choice. There would be no democracy if there was no voice.
Until next time. Your choice. Your voice. Your freedom.
Tom Sheff invited the candidates for the 11th Middlesex House of Representatives to sit with him to discuss the issues on his show "Veracity" aired weekly on NewTV. Ms. Khan declined the invitation but Greer welcomed the questions from the insightful host.
Tom asks about jobs and the state of the economy, transportation and affordable housing.
Greer talks about jobs, balance and choice. Giving voters a chance to truly examine issues from more than perspective and giving everyone an informed choice.
Watch the video here.
Double Ten Day celebrates the establishment of Chinese democracy in 1911. Boston celebrated with the Taiwan Economic and Cultural Commission and community leaders of Boston's Chinatown.


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Sources close to Ashok Chavan said he has objected to the Commission reneging on its assurance to hear his side of the story. (Agencies) Latest News from State News Desk
"The report is bad and great injustice has been done to me. Before indicting me, the Commission did not hear my contention. This, despite it being specifically brought to its notice that if it was passing strictures against me, then as per Section 8 of the Commissions Of Inquiry Act, I should have been heard," sources quoted Ashok Chavan as saying in his letter to the Chief Minister and Chief Secretary.
"The concerned were aware that as per the Act, if the reputation of a person is likely to be prejudicially affected by an inquiry, the Commission shall give him a reasonable opportunity of being heard and produce evidence in his defence," sources said.
"The government will take note of the letter. It has also received representations from a section of bureaucrats indicted by the Inquiry Commission," an official said.
In its report, the Commission observed that while Ashok Chavan cannot be said to have favoured or obliged the Adarsh Co-operative Housing Society by allowing civilians to become members, his approval of non-deduction of 15 percent recreational ground while calculating FSI cannot be treated as an innocent act.
"We are not concerned with the legality or otherwise of the said decision. It may be legal and justifiable. However, this decision when followed by the grant of membership and allotment of flats to his close relatives becomes indicative of quid pro quo," the Commission said in its report.
Sources close to Ashok Chavan said, "There is no connection between him and the then state government's decision to reduce the width of the proposed 60.97-metre Captain Prakash Pethe Marg near the Adarsh society. It was entirely an Urban Development Department related matter and there was no role of Ashok Chavan as the then revenue minister."
The Maharashtra government had earlier on December 20 rejected the Commission's report on the Adarsh scam, tabled in the State Legislative Assembly. However, after Rahul Gandhi's intervention the government this month decided to partially implement the panel's recommendations, which the Opposition has alleged favours politicians while putting the onus only on bureaucrats.
The report of the two-member Commission headed by retired High Court judge J A Patil indicted several politicians including four former chief ministers Ashok Chavan, late Vilasrao Deshmukh, Sushilkumar Shinde and Shivajirao Nilangekar Patil for blatant violations of statutory provisions.
Sources close to Ashok Chavan said he has objected to the Commission reneging on its assurance to hear his side of the story.
Latest News from State News Desk


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Shoot 'em up 'Mechanic' pretty much by the book
Before making "Death Wish'' together, Charles Bronson and director Michael Winner reconnoitered the territory with 1972's "The Mechanic,'' an urban thriller casting Bronson as a meticulous hit man teaching his craft to young sociopath Jan-Michael Vincent. The movie was years ahead of "CSI'' with some of its forensics-minded assassination schemes, and gave Bronson a grubbily entertaining vehicle for killing laconically (not to mention lounging around in a Hef robe, sipping merlot and perusing dossiers). Winner's "Mechanic'' also isn't widely remembered, quickly ditches its stealth concept for routine gunplay and chases, and can rise or fall depending on your appreciation of Vincent's period-groovy talents.
In other words, there was reason enough for producers David Winkler and Bill Chartoff, sons of the original's producers, to think the movie merited a remake. But what we get from Jason Statham, sidekick Ben Foster ("The Messenger''), and director Simon West ("Lara Croft: Tomb Raider'') is an intermittently arresting, mostly standard action entry that deals death noisily more than cleverly — a lot like the original.
Dispensing with the winking of "The Transporter'' and his other signature gigs, Statham plays Arthur Bishop as all stoicism, a contract killer based in New Orleans, but who mainly skips the bon temps to work and then retreat to his luxe hideout/ops center on the bayou. Bishop develops the tiniest chink in his emotional armor when a corporate baddie (Tony Goldwyn) gives him an assignment to take out their mutual associate and Bishop's mentor, Harry (Donald Sutherland, having fun as a mellowed, wheelchair-using hardcase). Enter Foster in the Vincent role as Harry's son, Steve, an angry screw-up who doesn't know the story behind his father's death, but who nevertheless guilts Bishop into taking him on as a trainee.
Foster pours the character his usual shot of twitchy, damaged volatility, part of a makeover meant to lend greater logic to the story's master-and-apprentice bond. This Steve is a lost soul searching for direction, not a mob brat killing for sport. Makes sense, at least until the motivationally muddled finale.
As for Bishop and Steve's various dirty deeds, well, logic isn't everything. Why, specifically, does one tense high-rise set piece sic them on a televangelist? Who knows? Is there some dramatically defensible reason for making a hulking rival mechanic (Jeff Chase) a hustler-trolling swinger? Hardly. But Chase's knock-down, drag-out with Foster, in undercover-tease mode, certainly is a brutal little marvel of fight choreography. A mutilation-by-garbage-disposal scene is another niftily ugly trick.
So much for doing things quickly and cleanly, though. "The best jobs are the ones nobody ever knows you were there,'' Statham says in an opening voice-over, following a cunning swimming-pool hit that has it all over Bronson's intro. You'll wish this new "Mechanic'' bought into the idea completely.
Tom Russo can be reached at firstname.lastname@example.com.


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TAH Veterans Project
TAH is very excited to be introducing a Veterans specific project to its services. We will be [...]READ MORE
With over 40 years' experience Taunton Association for the Homeless (TAH) is now Somerset's largest charitable organisation supporting homeless people and those at risk of homelessness.
1 in 6 people in the UK will spend at least one night homeless. But we know that, given the right help, even the most vulnerable in our society can recover from the issues that have resulted in their homelessness. Every year, as a result of our support, hundreds of people are able to take on and maintain their own tenancies and become valuable members of our communities.
Please explore our website, whether you are in need of advice, need our help, or even want to help us! We hope that our website can answer your questions, but please do not hesitate to get in touch with us if you need further information.
TAH is very excited to be introducing a Veterans specific project to its services. We will be [...]READ MORE
We are very lucky and privileged to have been chosen as one of the benefiting charities for this year [...]READ MORE


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Final Report, The
The Project:
The Building:
CAD Issues & Data:
Survey Issues & data:
On-going investigation of
• Web pages:
CSA Propylaea Project: Now Archived
The CSA Propylaea Project has been concluded, and digital materials have been archived at the Archaeology Data Service in York, England. Therefore, this site is no longer the place to which anyone should come for access to the digital files. Instead, readers should go to this URL: http://dx.doi.org/10.5284/1022574 to begin looking for the appropriate files. As many readers of this page will understand, the materials are being accessed by a digital object identifier (DOI) which is intended to be a permanent way to find the appropriate page.
If anyone has any questions about the data or the website, those questions may, until further notice, be directed to Harrison (Nick) Eiteljorg, II, at user-name nicke and domain name csanet.org.
Please note that, for the present, the discussion of ancient Greek architectural practices remains available here, but only via web pages now. [Automated attempts to post commercial messages to the blog created problems that resulted in the termination of the blog.]
Note the color differences between the top photo and the lower one. This reflects the color of the sunlight at the west end of the Acropolis, with the morning light being cool and the afternoon light warm, growing steadily warmer toward sunset.


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As the national trade association representing manufacturers, formulators, distributors and other industry leaders involved with specialty pesticides, RISE gives you the facts about pests and the threats they pose to our health and safety. We promote the safe use of pesticides to control pests and invasive species that are detrimental to our health and our environment. To learn more about how pesticides are used to control insects, weeds, and pathogens, visit our DebugtheMyths site through the portal on this page. DebugtheMyths offers a closer look at products used around your home and community, as well as being an information resource for you and your family.
Pest control products protect our families, pets, and communities from mosquitoes, ticks, rodents, bedbugs, and cockroaches, and help prevent health issues associated with these pests. We know that keeping your family and loved ones safe is your top priority, and we want to help ensure you have all the tools and information you need to make an informed decision about controlling pests.
Urban Notification Court Order, 1/22/04, Click here


text:
Another glance into the rearview mirror made Mark certain he was being followed.
The red Escort had been two cars behind him ever since he left Pearce's apartment. Always two cars, never more and never less. Just like Morgan would have learned in FBI training.
Mark turned his attention to the stoplight before him. He needed to stay calm and think; that was his priority. He had known the day would come when Morgan would show up again, but Mark had thought he and Pearce might have had a little more time.
The light changed, and Mark burned rubber as he sped through the intersection. He shifted his gaze from the street in front of him to the rearview mirror, watching with satisfaction as the red Escort became mired behind a city bus and a minivan.
He took the next right, then made another right and backtracked a few blocks, turning right again. He came to a stop at a red light on the street he had just left. If his calculations were correct, he was now behind the red Escort, driven, perhaps, by Robert Morgan, the traitor FBI agent who had tried to kill them both back in Detroit. Now was his chance to find out for sure. He should be able to move up alongside the Escort and get a look at the driver.
As he waited for the light to change, Mark picked up his cell phone and dialed Pearce's number. Now that he had seen the Escort a third time, he needed to tell Pearce.
"Hey." Pearce's voice, gruff as usual, was also tainted with boredom. He was stuck behind a desk—light duty, they called it—compiling database search requests sent to him from agents in the field during his recuperation from injuries sustained on the job. Despite the tension of Mark's situation, the sound of Pearce's voice brought to mind thoughts of the man, and Mark could see Pearce as clearly as if he were sitting in the seat next to him: short-cut brown hair, normally alert brown eyes heavy with boredom, his six-foot-four, muscular frame cramped at his desk. The image sent a shock of lust right to his crotch, as usual.
"Hey." Mark cleared his throat, made himself focus on the issue at hand. "Um, so… Have you noticed anyone following you to work lately?"
"What do you mean?" Pearce asked, his tone sharpening immediately, FBI instincts kicking in. "You all right?"
Before Mark could answer, the driver behind him honked the horn. The light had turned green.
"Sorry!" Mark lifted a hand to the driver in apology and turned the corner, the phone still held to his ear.
"Mark?" Pearce demanded answers and assurance, just like normal. It was just another day here in Washington, DC; things were going to be okay. "What's going on? Are you okay?"
"I'm fine. I'm okay. I just…" Mark maneuvered his way through traffic, paying only half attention to what he was saying to Pearce.
"Goddammit, Mark," Pearce snapped. "Stop talking while you're driving. It's dangerous and illegal here. Pull over and tell me what's going on."
Mark grunted, his gaze bouncing between cars lined up in front of him, searching for the red Escort. It was nowhere in sight, and something tightened inside his chest, threatening his ability to breathe. Before, when he had seen the Escort behind him, he'd been scared, but at least he had known where the threat lay. Now he had no idea of the car's location, and that, it turned out, was much worse.


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Like many of you, I am a huge Pinterest fan. I found this pin for a frozen pumpkin dessert and knowing that I had all ingredients on hand, made it immediately. Oh. My. Goodness.
By the way, NEVER throw away bananas you think are too ripe to eat! Peel them, put them in a freezer bag, and throw into your freezer to save for later! I was so glad I had already frozen bananas when I saw this little gem. I also use them for banana bread and banana pancakes too!
- 4 Frozen bananas
- 1/2 C Pumpkin Puree
- 1/2 C-1C Vanilla almond milk (or nondairy milk of choice,I actually had soy "Seasonal Nog" and it turned out yummm)
- 1/4 tsp Ground Cinnamon
- 1/4 tsp Ground Clove (be very careful not too add too much more than this)
- Pinch brown sugar
- Using a very high speed blender, throw all ingredients in and start to blend adding more milk if necessary. You may need to start out with pulsing and then get it going faster. Serve immediately.
I thought it might be fun to serve this with gingersnap cookies!


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Bean with no jump
Scientists discover natural coffee beans with no caffeine
(With apologies to Frank Crumit and his Prune Song)
No matter how old a bean may be,
He's always full of caffeine.
His eyes are bright, he eats his greens,
Each day he's simply full of beans.
He ripens on the coffee bush
To give to you a caffeine rush.
No matter how old a bean may be,
He'll give you grounds for laughing.
No matter what time of day it be,
It's always time for coffee.
It wakes you up, goes with your toast,
Revives you when you need it most.
Espresso, latte, cappucci-
No rival in a cup of tea.
Whatever alternative there be,
They can't beat it for toffee.
But what if a bean grows naturally
Without its dose of caffeine?
It's like a peacock with no tail,
Or like a pub that has no ale.
A coffee bean that is decaff
Is guilty of a shocking gaffe.
The world's a cafe society
That has to keep its caffeine.


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Southern Adventist University industrial engineering
Think about what career is best suited for you, and where you want to study. Request more information now.
Think about what career is best suited for you, and where you want to study. Request more information now.
Think about what career is best suited for you, and where you want to study. Request more information now.
Find information about Southern Adventist University industrial engineering, and registering for elective lectures and seminars. As a student, your first stop should be the registrar's office, where you can pick up a free copy of both the academic calendar and course catalog, in order to find available credit classes that you may be interested in taking. In-person class registration has largely been replaced with online sign-up, and many schools offer mobile apps that streamline the course registration process. Finally, check with the admissions office for assistance with prerequisites, tuition payment deadlines, and Southern Adventist University factory automation information. Please use the form above to request admissions info for Southern Adventist University.
Mechanical engineering degrees typically take four to five years to complete, and result in a Bachelor of Engineering (BEng), Bachelor of Science (BSc or BS), or Bachelor of Mechanical Engineering (BME). In the US, most undergraduate mechanical engineering programs are accredited by the Accreditation Board for Engineering and Technology (ABET). Mechanical engineering programs include courses on composites, thermodynamics, engine design, fluid dynamics, control theory, robotics, and computer-aided design (CAD). In addition to the core mechanical engineering curriculum, many mechanical engineering programs offer more specialized programs and classes, such as control systems, fuel cell technology, and biomechanics.
Many mechanical engineering companies have begun to incorporate computer-aided engineering (CAE) programs into their existing processes, including 2D and 3D solid modeling computer-aided design (CAD), enabling faster and more exhaustive visualization of products. Other CAE programs commonly used by mechanical engineers include product lifecycle management (PLM), and analysis tools such as finite element analysis (FEA), computational fluid dynamics (CFD), and computer-aided manufacturing (CAM). Further, automation in the form of industrial robots allow businesses to save money on manufacturing costs, and ensure precision quality control. The median annual income of mechanical engineers in the US workforce was $80,580, highest when working for the government ($92,030), and lowest in education ($57,090). Beyond degree requirements such as Southern Adventist University robotics design programs, you may consider Furman University course registration for complementary electives to your primary course of study.
Administrative Coordinator
Occidental College
About Occidental College. Founded in 1887, Occidental is a small, highly selective and diverse liberal arts college in a big city.
5 days ago Retention Specialist (Grant Funded)
San Mateo County Community College District
San Mateo County Community College District values the principles of diversity and equity. Exchanges information with students, faculty, and staff.
6 days ago Undergrad Admissions Counselor
Yeshiva University
The Admissions Counselor will support student recruitment and participate in the admissions decision process.
5 days ago Admissions Advisor
College of Healthcare Professions
Interface and communicate appropriately with other College personnel to aid in the timely and effective flow of information between departments as well as..
4 days ago Student Advisor
New York University
Experience working with college admissions. Management of admissions criteria, policies, and student assessment.
5 hours ago


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On June 19th, Google finally put a stop to many of the ways users rip YouTube videos to their desktop for editing use, by making most online video conversion sites to be incompatible with YouTube's formatting! This happened to online-convert.com and zamzar.com! Abridgers, reviewers, and other online editors are constantly finding harder and harder ways to get footage they need. I guess for now they'll need to either edit off of DV Ds or even illegal torrents! Sorry. Through those sites, you can no longer save that rare Disney doc The Sweatbox for prosperity, or that unedited Pony episode with Derpy's original voice, or listen to your favorite abridged episodes on your iPod, or keep those songs iTunes won't provide, or even use footage you found online to edit into an AMV. Do it some other way!
edited 28th Jun '12 8:44:37 AM by kyun
Oh no, it's not like some other site will show up and adjust to this format. Everything is screwed....
My point is, why are bigger names trying at all? They'll just find another way to do it.
4 UltimatelySubjective28th Jun 2012 08:53:53 AM from Once, not long ago
Conceptually Frameworked
Pretty sure my in-browser solution still works. And if I download them as .mp4,files they should go straight onto my iPod 8 times out of 10. Is this add guarantee that no more sites like that will work?
"Nullius addictus iurare in verba magistri, quo me cumque rapit tempestas, deferor hospes."
I didn't try all the sites, but a few I tried all said they were prohibited to serve videos from YouTube under Google's orders, all suspiciously announcing it on June 19th at the same time! Google IS POWER.
downloading mp4 and ogv directly works just fine. Those web sites are rip offs, honestly, they are not needed at all for recent videos because they already come in mp4 or ogv format. And FLV is easy to convert without a web site. These web sites were just stealing from youtube. And I doubt the change in format had the specific intention to do this. I am sure changes like this happen more often than not and that the websites that do this will find a work around eventually. Edit: That makes more sense, rather than a change in format, yeah what these websites were doing was not really legal and all that google needed to stop them was to talk about court orders.
edited 28th Jun '12 2:14:10 PM by nairoxev
Argue with them = they do nothing. Mention court orders = they **** their pants.
8 RocketDude28th Jun 2012 02:51:57 PM from AZ, United States
Face Time
*Uses Speedbit Video Downloader* Ohohohohothatslapsmeontheknee.png
Tumblr | "Hipsters: the most dangerous gang in the US." - Pacific Mackerel
9 0dd129th Jun 2012 12:09:01 AM from Nowhere Land
Just awesome like that
@nair: How do you do that anyway? I used to just go into my Temporary Internet Files folder, but that doesn't seem to work for me anymore.
You can still download videos directly from YouTube, if you're logged in.
11 0dd129th Jun 2012 02:29:33 PM from Nowhere Land
Just awesome like that
...since when? How do you do that? Are you just talking about one's own uploaded videos, because that I do know. Other people's videos, though? Explicame, por favor.
12 UltimatelySubjective29th Jun 2012 03:22:48 PM from Once, not long ago
Conceptually Frameworked
This also has absolutely no effect on video downloader programs too. I doubt Google can catch all the completely separate programs that aren't even web-based. I've never used it before, but Keepvid seems to be working still.
"Nullius addictus iurare in verba magistri, quo me cumque rapit tempestas, deferor hospes."
13 0dd129th Jun 2012 03:46:58 PM from Nowhere Land
Just awesome like that
I think I used "Youtube to MP3 Converter" after the date this supposedly happened once and that worked too.
I doubt they are worried about programs. @odd1: I just use a firefox addon called download helper. Although lately I am just pasting the URL in a program called jdownloader.
edited 29th Jun '12 6:37:34 PM by nairoxev
15 MadMan40009620th Aug 2012 08:41:37 AM from Massachusetts , Relationship Status: My own grandpa
I don't have any problems. I download all my YouTube videos with Real Player, and I'm just fine. Granted, it's a program and not a site, but it's pretty useful. It even comes with a converter so you can put the videos in the proper format (I convert them to WMV so I can edit them in Windows Movie Maker). Highly recommended, get it.
Catch me where? See my profile!
16 0dd120th Aug 2012 09:10:24 AM from Nowhere Land
Just awesome like that
I've actually found that pretty much the only site that doesn't work is a single YouTube to MP3 site, and probably only because it has a petition that it's linking to instead of actually converting videos to MP3 files.
17 TairaMai29th Sep 2012 05:57:27 AM from El Paso Tx , Relationship Status: What is this thing you call love?
rollin' on dubs
download helper works for me.
I use Flash Video Downloader, which works on every video sharing site I've ever found and, on YouTube, gives me a choice of definitions and formats to download. WebM looks awesome in Totem.
19 johnnyfog10th Feb 2013 08:49:17 PM from the Zocalo , Relationship Status: They can't hide forever. We've got satellites.
Actual Wrestling Legend
I use Firefox Videodownloader plugin. It's cryptic to figure out how to use, but it works on blip et al. I have a stack of Nostalgia Chick dvds now.
I'm a skeptical squirrel
20 Sorastitch11th Feb 2013 09:42:08 AM from Last Seen in The Shadowlands
Ooo. I've never seen a blip downloader, so how is it cryptic? If it's really not that bad I'm going to try it for myself.
my drawing blog ya'll
21 johnnyfog11th Feb 2013 12:14:05 PM from the Zocalo , Relationship Status: They can't hide forever. We've got satellites.
Actual Wrestling Legend
The interface is just a dick. It gives you 8-10 links for a video, but only the one marked "Medium" works, and sometimes you have to close a command prompt (which exists solely to plant a watermark on the video), and the link grays out if you don't download right away (or open a new tab, etc). I dunno, it depends on your version. It's just not intuitive to use. But it works fine so far. I would also avoid updates, because I am suspicious of them.
I'm a skeptical squirrel
22 0dd111th Feb 2013 03:36:40 PM from Nowhere Land
Just awesome like that
Alternatively, you could just download from a producer's RSS feed, no browser extensions/apps/whatever necessary. Example link.
edited 11th Feb '13 3:37:07 PM by 0dd1
23 ABRICK12th Feb 2013 12:04:24 PM from IN A CAVE!
Hiding a box of scraps
Now, now kids, please make sure you're illegally downloading those youtubes through PERFECTLY LEGAL MEANS.
A good writer puts in a lot of details in there story. But a great one gets a story from a single detail.
24 Sorastitch12th Feb 2013 12:35:20 PM from Last Seen in The Shadowlands
We have to download these illegally through illegal means? I dun't get it
my drawing blog ya'll


text:
Predictive modeling, supervised machine learning, and pattern classification
— the big picture
When I was working on my next pattern classification application, I realized that it might be worthwhile to take a step back and look at the big picture of pattern classification in order to put my previous topics into context and to provide and introduction for the future topics that are going to follow.
Pattern classification and machine learning are very hot topics and used in almost every modern application: Optical Character Recognition (OCR) in the post office, spam filtering in our email clients, barcode scanners in the supermarket … the list is endless.
In this article, I want to give a quick overview about the main concepts of a typical supervised learning task as a primer for future articles and implementations of various learning algorithms and applications.
Table of Contents
- Table of Contents
- Machine Learning and pattern classification
- Supervised, unsupervised, and reinforcement learning
- Supervised learning - a typical workflow
- Further Readings
Machine Learning and pattern classification
Predictive modeling is the general concept of building a model that is capable of making predictions. Typically, such a model includes a machine learning algorithm that learns certain properties from a training dataset in order to make those predictions.
Predictive modeling can be divided further into two sub areas: Regression and pattern classification. Regression models are based on the analysis of relationships between variables and trends in order to make predictions about continuous variables, e.g., the prediction of the maximum temperature for the upcoming days in weather forecasting.
In contrast to regression models, the task of pattern classification is to assign discrete class labels to particular observations as outcomes of a prediction. To go back to the above example: A pattern classification task in weather forecasting could be the prediction of a sunny, rainy, or snowy day.
To not get lost in all possibilities, the main focus of this article will be on "pattern classification", the general approach of assigning predefined class labels to particular instances in order to group them into discrete categories. The term "instance" is synonymous to "observation" or "sample" and describes an "object" that consists of one or multiple features (synonymous to "attributes").
Supervised, unsupervised, and reinforcement learning
Pattern classification tasks can be grouped into two main sub-categories: Supervised and unsupervised learning. In supervised learning, the class labels in the dataset, which is used to build the classification model, are known. For example, a dataset for spam filtering would contain spam messages as well as "ham" (= not-spam) messages. In a supervised learning problem, we would know which message in the training set is spam or ham, and we'd use this information to train our model in order to classify new unseen messages.
The figure above shows an exemplary classification task for samples with two random variables; the training data (with class labels) are shown in the scatter plots. The red-dotted lines symbolize linear (left) or quadratic (right) decision boundaries that are used to define the decision regions R1 and R2. New observations will be assigned the class labels "w1" or "w2" depending on in which decision region they will fall into. We can already assume that our classification of unseen instances won't be "perfect" and some percentage samples will likely be mis-classified.
The respective IPython notebooks can be found in the Statistical Pattern Classification Examples" section in my pattern classification repository if you are interested in how the decision boundaries were computed.
In contrast, unsupervised learning task deal with unlabeled instances, and the classes have to be inferred from the unstructured dataset. Typically, unsupervised learning employs a clustering technique in order to group the unlabeled samples based on certain similarity (or distance) measures.
A third class of learning algorithms is described by the term "reinforcement learning". Here, the model is learned from a series of actions by maximizing a "reward function". The reward function can either be maximized by penalizing "bad actions" and/or rewarding "good actions". A popular example of reinforcement learning would be the training of self-driving car using feedback from the environment. Recently, I stumbled across another nice example of reinforcement learning where the game Flappy Bird" has been trained to play itself.
Supervised learning - a typical workflow
As of today, the famous "Iris" flower dataset is probably one of the most commonly used examples when in comes to introducing various concepts in the field of "data science". The Iris dataset was created and used by R. A. Fisher in context of his discriminant analysis in 1936, and it is freely available at the UCI machine learning repository.
Here, it serves as a perfect example of a supervised classification task, where the class labels are the three flower species: Setosa, Virginica, and Versicolor. And every of the 150 instances (individual flowers) consists of four features:
- Sepal width
- Sepal length
- Petal width
- Petal height
(all measured in centimeters).
When we are dealing with a new dataset, it is often useful to employ simple visualization techniques for explanatory data analysis, since the human eye is very powerful at discovering patterns. However, sometimes we have to deal with data that consists of more than three dimensions and cannot be captured in a single plot: One way to overcome such limitations could be to break down the attribute set into pairs and create a scatter plot matrix. In practice, the choice of a "good and useful" visualization technique highly depends on the type of data, the dimensionality of the feature space, and the question at hand.
Below are just a few examples of more or less useful visualizations of the Iris dataset.
The code that was used to create these plots can be found in the IPython notebook [Matplotlib examples - Visualization techniques for exploratory data analysis](https://github.com/rasbt/pattern_classification/blob/master/data_viz/matplotlib_viz_gallery.ipynb).
Looking at those plots above, the scatter plots and (1D) histograms in particular, we can already see that the petal dimensions contain more discriminatory information than the sepal widths and lengths based on the smaller overlap between the three different flower classes. This information could, for example, be used for feature selection in order to remove noise and reduce the size of our dataset.
Workflow diagram
In the following section, we will have a look at some of the main steps of a typical supervised learning task, and the diagram below should give us an intuitive understanding of how they are connected.
This flowchart is also available as PDF version.
Raw data collection and feature extraction
When we'd download the Iris dataset, we noticed that it is already in "good shape", and it seems that R. A. Fisher has already done some initial "pre-processing" for us: No missing data and numeric features that can be used by a learning algorithm.
However, let us assume that the raw data of the Iris dataset consisted of a series of images. In this case, a first pre-processing step (feature extraction) could involve the scaling, translation, and rotation of those images in order to obtain the dimensions of the sepals and petals in centimeters.
Occlusion of the leaves could be a problem that might lead to missing data: Many machine learning algorithms won't work correctly if data is missing in a dataset so that "ignoring" missing data might not be an option. If the sparsity (i.e., the amount of empty cells in the dataset) is not too high, it is often recommended to remove either the samples rows that contain missing values, or the attribute columns for which data is missing. Another strategy for dealing with missing data would be imputation: Replacement of missing values using certain statistics rather than complete removal. For categorical data, the missing value can be interpolated from the most frequent category, and the sample average can be used to interpolate missing values for numerical attributes. In general, resubstitution via k-nearest neighbor imputation is considered to be superior over resubstitution of missing data by the overall sample mean.
Other interesting approaches that are related to feature extraction could include the aggregation of petal and sepal measurements, e.g., ratios between petal or sepal widths and heights.
Assuming that we extracted certain features (here: sepal widths, sepal lengths, petal widths, and petal lengths) from our raw data, we would now randomly split our dataset into a training and a test dataset. The training dataset will be used to train the model, and the purpose of the test dataset is to evaluate the performance of the final model at the very end.
It is important that we use the test dataset only once in order to avoid overfitting when we compute the prediction-error metrics. Overfitting leads to classifiers that perform well on training data but do not generalize well so that the prediction-error on novel patterns is relatively high. Thus, techniques such as cross-validation are used in the model creation and refinement steps to evaluate the classification performance. An alternative strategy to re-use a test dataset for the model evaluation would be to create a third dataset, the so-called validation dataset.
Cross-validation is one of the most useful techniques to evaluate different combinations of feature selection, dimensionality reduction, and learning algorithms. There are multiple flavors of cross-validation, and the most common one would probably be k-fold cross-validation.
In k-fold cross-validation, the original training dataset is split into k different subsets (the so-called "folds") where 1 fold is retained as test set, and the other k-1 folds are used for training the model. E.g., if we set k equal to 4 (i.e., 4 folds), 3 different subsets of the original training set would be used to train the model, and the 4th fold would be used for evaluation. After 4 iteration, we can eventually calculate the average error rate (and standard deviation) of the model, which gives us an idea of how well our model generalizes.
Normalization and other feature scaling techniques are often mandatory in order to make comparisons between different attributes (e.g., to compute distances or similarities in cluster analysis), especially, if the attributes were measured on different scales (e.g., temperatures in Kelvin and Celsius); proper scaling of features is a requirement for most machine learning algorithms.
The term "normalization" is often used synonymous to "Min-Max scaling": The scaling of attributes in a certain range, e.g., 0 to 1.
Another common approach is the process of (z-score) "standardization" or "scaling to unit-variance": Every sample is subtracted by the attribute's mean and divided by the standard deviation so that the attribute will have the properties of a standard normal distribution (μ=0, σ=1).
One important point that we have to keep in mind is that if we used any normalization or transformation technique on our training dataset, we'd have to use the same parameters on the test dataset and new unseen data.
More details can be found in an separate article: About Feature Scaling and Normalization and the effect of standardization for machine learning algorithms.
Feature Selection and Dimensionality Reduction
Distinguishing between feature selection and dimensionality reduction might seem counter-intuitive at first, since feature selection will eventually lead (reduce dimensionality) to a smaller feature space.
In practice, the key difference between the terms "feature selection" and "dimensionality reduction" is that in feature selection, we keep the "original feature axis", whereas dimensionality reduction usually involves a transformation technique.
The main purpose of those two approaches is to remove noise, increase computational efficiency by retaining only "useful" (discriminatory) information, and to avoid overfitting ("curse of dimensionality").
In feature selection, we are interested in retaining only those features that are "meaningful" - features that can help to build a "good" classifier. For example, if we'd have a whole bunch of attributes that describe our Iris flowers (color, height, etc.), feature selection could involve the reduction of the available data to the 4 measurements that describe the petal and sepal dimensions. Or, if we'd start with those 4 attributes (sepal and petal lengths and widths), we could further narrow down our selection to petal lengths and widths and thereby reduce our feature space from 4 to 2 dimensions. Feature selection is often based on domain knowledge (note that it is always helpful to consult a domain expert) or exploratory analyses, such as histograms or scatterplots as we have seen earlier. Finding the feature subset of a certain size that optimizes the performance of a classification model would require an exhaustive search - the sampling of all possible combinations. In practice, this approach might not be feasible because of computational limitations so that sequential feature selection (Feature Selection Algorithms in Python) or genetic algorithms are being used to select a sub-optimal feature subset.
Commonly used dimensionality reduction techniques are linear transformations such as Principal Component Analyses (PCA) and Linear Discriminant Analysis (LDA). PCA can be described as an "unsupervised" algorithm, since it "ignores" class labels and its goal is to find the directions (the so-called principal components) that maximize the variance in a dataset. In contrast to PCA, LDA is "supervised" and computes the directions ("linear discriminants") that will represent the axes that maximize the separation between multiple classes.
More details about PCA and LDA can be found in those two articles:
- Linear Discriminant Analysis bit by bit
- Implementing a Principal Component Analysis (PCA) in Python step by step
The image below shows the iris data plotted on a 2-dimensional feature subspace after transformation via Linear Discriminant Analysis (LDA). The black lines denote exemplary, linear decision boundaries that divide the feature space into three decision regions (R1, R2, R3). Based on these decision regions, new observations can be classified among the three different flower species: R1 → Virginica, R2 → Versicolor, and R3 → Setosa.
Learning algorithms and hyperparameter tuning
There are a enormous number of different learning algorithms, and the details about the most popular ones are perfect topics for separate articles and applications. Here is just a very brief summary of four commonly used supervised learning algorithms:
A Support Vector Machine (SVM) is a classification method that samples hyperplanes which separate between two or multiple classes. Eventually, the hyperplane with the highest margin is retained, where "margin" is defined as the minimum distance from sample points to the hyperplane. The sample point(s) that form margin are called support vectors and establish the final SVM model.
Bayes classifiers are based on a statistical model (i.e., Bayes theorem: calculating posterior probabilities based on the prior probability and the so-called likelihood). A Naive Bayes classifier assumes that all attributes are conditionally independent, thereby, computing the likelihood is simplified to the product of the conditional probabilities of observing individual attributes given a particular class label.
Artificial Neural Networks (ANN) are graph-like classifiers that mimic the structure of a human or animal "brain" where the interconnected nodes represent the neurons.
Decision tree classifiers are tree like graphs, where nodes in the graph test certain conditions on a particular set of features, and branches split the decision towards the leaf nodes. Leaves represent lowest level in the graph and determine the class labels. Optimal tree are trained by minimizing Gini impurity, or maximizing information gain.
A very simple decision tree for the iris dataset could be drawn like this:
Hyperparameters are the parameters of a classifier or estimator that are not directly learned in the machine learning step from the training data but are optimized separately. The goals of hyperparameter optimization are to improve the performance of a classifier and to achieve good generalization of a learning algorithm. A popular method for hyperparameter optimization is Grid Search. Typically, Grid Search is implemented as an exhaustive search (in contrast to randomized parameter optimization) of candidate parameter values. After all possible parameter combination for a model are evaluated, the best combination will be retained.
Prediction-error metrics and model selection
A convenient tool for performance evaluation is the so-called confusion matrix, which is a square matrix that consists of columns and rows that list the number of instances as "actual class" vs. "predicted class" ratios.
A confusion matrix for a simple "spam vs. ham" classification could look like:
Often, the prediction "accuracy" or "error" is used to report classification performance.
Accuracy is defined as the fraction of correct classifications out of the total number of samples; it is often used synonymous to specificity/precision although it is calculated differently. Accuracy is calculated as
where TP=True Positives, TN=True Negatives, P=Positives, N=Negatives.
The empirical error of a classification model can be calculated by 1-Accuracy.
However, the choice of an appropriate prediction-error metric is highly task-specific. In context of an "email spam" classification, we would especially be interested in a low false positive rate. Of course, a spam email that was classified as ham is certainly annoying, but not as bad as missing any important information by mis-classifying "ham" as "spam".
One convenient way to tweak a classifier in context of a binary classification problem such as "spam" classification is the Receiver Operating Characteristic (ROC, or ROC curve).
Other indicators for classification performances are Sensitivity, Specificity, Recall, and Precision.
- Sensitivity (synonymous to recall) and precision are assessing the "True Positive Rate" for a binary classification problem: The probability to make a correct prediction for a "positive/true" case (e.g., in an attempt to predict a disease, the disease is correctly predicted for a patient who truly has this disease).
- Specificity describes the "True Negative Rate" for a binary classification problem: The probability to make a correct prediction for a "false/negative" case (e.g., in an attempt to predict a disease, no disease is predicted for a healthy patient).
In a typical supervised learning workflow, we would evaluate various different combinations of feature subspaces, learning algorithms, and hyperparameters before we select the model that has a satisfactory performance. As mentioned above, cross-validation is a good way for such an assessment in order to avoid overfitting to our training data.
Further Readings
I hope that this short introduction to the field of supervised learning and pattern classification could somewhat spark your interest. Below are some resources that are worthwhile reading if you want to learn more!
One of my favorite books and probably the most recommended introductory book to the topic would be Pattern Classification" by Richard O. Duda, Peter E. Hart, and David G. Stork.
"I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!" (Pattern Analysis & Applications Journal, 2001)_
"This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." (Mathematical Reviews, Issue 2001)
Although this review was published almost 15 years ago, it is still an excellent article that is really worth reading:
Jain, Anil K., Robert P. W. Duin, and Jianchang Mao. 2000. "Statistical Pattern Recognition: A Review." Pattern Analysis and Machine Intelligence, IEEE Transactions on 22 (1): 4–37.
If this is not for you, you can browse through my little collection of free ebooks from the areas of machine learning, pattern classification, and artificial intelligence.


text:
Wow, was RT fun, but also very very tiring and busy! I have a load of photos to share and I'll get them up in an album for you for tomorrow. Also made plans for a number of upcoming guests to visit and share their books with you!
But. . . Today is Man Candy Monday and I'm sharing this shot of Len, last year's Mr. Romance and the runner-up Eric.
Here are Charles and Len, two former Mr. Romances! I'm also in the shot, working hard as usual (LOL!)
Hope you enjoyed today's Guilty Pleasures.


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Tag Archives: Shelley
Poetry Sunday from Katie O'Neil
For Easter, I feel like the focus is joyousness–both spiritually and in the natural world around us there seems to be more joy, strength and life. More sunlight raises the level of general happiness in most people so there's even … Continue reading
Posted in Catholic Writing and Publishing, Poetry Tagged Archibald Lampman, Easter, Shelley Comments Off on Poetry Sunday from Katie O'Neil


text:
Local Search - FREE
by at ease, Version: 1.5.2 , 315 KB
Package name: com.atease.android.places , Last Update: 2012-09-24 01:40:17
105 ratings (3.552 average)
50,000-250,000 downloads
This app searches for places nearby(GPS) or anywhere in the world.
Use keywords like pizza, gas, station, bar, Italian, etc.
Also has filter capabilities like minimum rating.
Please try out the translation and pronunciation functions as well.
Sources include
Yahoo (US, CA)
Bing (US, CA)
Citysearch (US, CA)
Last comments from Android Market
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It could not find many places close to our hotel. The ones it did find it could not map.
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Good but google places directory is better
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Helps the geographically challenged.
techie (***)
Search button should not require three steps to access.
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Simple but nice
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Its simple
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Played around local serch for ova a hour trying all types of searchs,i think its great,cant wait to use it ova seas
tony (*****)
I'm very impressed with how quickly it finds searches then uses Google navigation. This is a keeper.
dew (****)
after the next time using open it no more and have search it again if with connection. So cache or save it need in this software.


text: Jeremy C. Reed wrote: > > Then I saw that patch-ad removes the -ldl from the configure script. No patch should remove -ldl from configure scripts if the configure script uses the standard library-check macros. That test should simply fail on platforms that don't have libdl. Does the CVS commit log tell you anything about who added the patch and why? Cheers, -- Johnny Lam <firstname.lastname@example.com>


text:
blogin is A simple static blog framework, powered by Node.js.
npm install -g blogin
blogin init blogdir
cd blogdir
blogin update
blogin server
http://127.0.0.1:3000 in browser.
blogin post this is my first post
blogin update
blogin server
blogin command:
deploy Deploy static files to git server, like github.
server Start a server on http://localhost:3000 .
update Generate the static files.
post Create post, show post tree, delete post.
page Create page, show page tree, delete page.
init Init the blog directory.
help Display help.
trash Show trash tree, recovery deleted file.
Edit the file at "blogindir/public/" to custom your own theme.
Please feel free to use blogin.
blogin post /
blogin page.
blogin trash, to view or recovery deleted file. see
blogin help trash for detail.
blogin help commandName.


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HMR Pain Camp Washington DC - Saturday, July 5th 2014
The Pain! The Pain! The Beautiful Pain!
This is a military type training camp with the Hardcore Army's own Commander. You will run, do push ups, sit ups and pal around with our friend Misery for 15 to 20 miles around the Washington DC area.
This is a team building camp so others will depend on you and you will depend on them to keep you going. You may leave at any time, just ring out and find your own ride home.
Hardcore Mudd Run makes a fun and challenging event to push one's physical and mental abilities to the breaking point and beyond.
In order to purchase these tickets in installments, you'll need an Eventbrite account. Log in or sign up for a free account to continue.


text:
I'm required to prove that:
The furthest I can get is this:
I have no idea what to do Any kind of nudge in the right direction would be greatly appreciated.
The notation does NOT mean . It stands for the inverse hyperbolic sine function.
It's the same sort of notation used in trigonometric functions to show the inverse trigonometric functions. E.g. implies .
Suppose you had
Its inverse function is
(in other words, )
Therefore .