HER legend has been overshadowed by a rather better-known monster in Loch Ness.
But Morag, who is reputed to inhabit the depths of Loch Morar, is set to see her celebrity rise following the discovery by Scottish academics of descriptions of sightings.
The stories of Morag the monster dating back more than 100 years were documented by Alexander Carmichael, a prolific gatherer of folklore.
Now the scripts, which date from 1902, have been unearthed by academics at the University of Edinburgh library.
A second text reads: "There is a creature in Loch Morar and she is called Morag. She is never seen, save when one of the hereditary people of the place dies. The last time she was seen was when Aeneas Macdonnell died in 1898.
"The Morag is peculiar to Loch Morar. She is seen in broad daylight and by many persons, including church persons.
A final description, penned by Mr Carmichael at a later date, retains Morag's association with death, but sees her take on more human characteristics.
He wrote: "Like the other water deities, she is half-human half-fish. The lower portions of her body are in the form of a grilse and the upper in the form of a small woman of highly developed breasts with long flowing yellow hair falling down her snow-white back and breast.
"She is represented as being fair, beautiful and very timid and never seen, save when one of the Morar family dies or when the clan falls in battle.
Mr Carmichael, a figurehead for the Celtic artistic movement, wrote the texts in Gaelic. He is thought to have spent only a couple of days in the Morar area and did not see Morag himself. His main source appears to be a local man, Ewan MacDougall.
Several books have been written about the elusive monster. The Search For Morag tells of John MacVarish, barman at the Morar Hotel, who claimed he saw Morag on 27 August, 1968, while fishing on the loch.
Dr Donald Stewart, a senior researcher, discovered the texts while leafing through a "mad mixture" of folklore collected by Mr Carmichael over 50 years.
"We were so pleased when we found them; it was just totally unexpected," he said.


Calbarrie's Tim Beardsmore explains the particular challenges faced when managing electrical compliance in healthcare and hospital buildings.
Electrical safety testing in the healthcare sector raises specific concerns. Whilst ensuring that patients, staff and the public are safe the services need to be accessible at all times. A specialist contractor can provide guidance on how to develop a robust test and inspection regime with risk assessments based on experience and knowledge that are required to achieve electrical compliance.
Electrical equipment can present a range of hazards to patients and staff, and it is a moral and legal obligation for an employer to take measures to minimise the risk. Faulty mains powered electrical equipment can present the risk of fire and explosion; and all electrical equipment has the potential to expose people to the risk of electric shock unless regularly tested and the correct calibration procedures carried out.
Access is a challenge when testing in hospitals and healthcare facilities where medical electrical equipment cannot be powered down; and flexibility is crucial in order to minimise disruption to services. Testing in patient areas in particular requires careful planning, and a contractor who has an established and directly employed labour-force and vigilantly carries out regular checks on work permits and security clearances should inspire confidence. Contact with contaminated areas also requires careful consideration to reduce the risk of any infection being transferred.
Pre-start surveys and meetings will identify any specific health and safety risks posed by the site and requirements for specialist training and personal protective equipment. For some healthcare sites there may be the need for a chaperone – a client representative – who will accompany the engineer around the site.
Powering down of communications equipment and the risk to personal data can also be a concern for the healthcare sector, and one that requires dynamic scheduling and collaboration between the contractor, site security and IT representatives. A contractor can reduce the risk of data loss with tailored IT systems for record-keeping, and an Application Programming Interface (API) can enable secure and effective communication between systems with the contractor uploading data directly onto the client's software. An experienced service provider should also have its own information security management system and trained employees for managing personal data in line with regulation.
Healthcare facilities may need to consider how they deliver services cost effectively whilst maintaining quality of service. As well as price and safety, a tender process should also require a service provider to demonstrate a commitment to the client's core values and how they can bring added-value to the contract through tried and tested management systems and innovation. An experienced contractor will have attained industry standards such as ISO 9001, 14001 and OHSAS 18001. Membership of a reputable safety body such as RoSPA and compliance with recognised codes of practice will provide further evidence of an effective safety management system. Engineers who have received specialist training in health and safety working in public areas can put in place measures to manage risk to patients, staff and the public. It is also essential for the contractor to have sufficient levels of liability insurance cover.
An experienced provider will have the ability to share the client's responsibilities. A good company should offer a total compliance service with online test records, automated reminders for when testing and inspection is due, and a central asset management database. Ultimately an expert provider can manage the challenges faced by the healthcare sector around electrical compliance by building sustainable relationships and committing to shared values that improve performance, reduce costs and increase control.
Calbarrie has provided electrical compliance services to Coventry and Warwickshire Partnership NHS Trust since 2016. Our case study explains the programme involved in testing non-medical equipment and electrical installations in clinical and non-clinical areas across the Trust's primary and community care estates.
You can also read the full article in June's edition of Tomorrow's FM.
Are you managing your electrical compliance?


text:
Als wilde Ehe wurde bis in die zweite Hälfte des 20. Jahrhunderts hinein regelmäßig mit abwertender Nebenbedeutung die Beziehung von Paaren bezeichnet, die unverheiratet zusammenlebten. Von Juristen wird die Partnerschaft unverheiratet Zusammenlebender  eheähnliche Gemeinschaft genannt, stellenweise auch freie Ehe. In der Schweiz wird das Zusammenleben von nicht miteinander verheirateten Menschen als Paar als Konkubinat bezeichnet, dagegen wird dieser Begriff in Deutschland als abwertend angesehen.

Früher untersagten Konkubinatsverbote in Bayern und einzelnen Schweizer Kantonen das Zusammenleben eines unverheirateten gegengeschlechtlichen Paares in einer gemeinsamen Wohnung, aber auch anderswo wurde der Konkubinat als unsittlich angesehen. Im Zuge der Sexuellen Revolution im letzten Drittel des 20. Jahrhunderts wurde die Auffassung in Frage gestellt, dass nur miteinander verheiratete Menschen das Recht hätten, sich sexuell zu betätigen. Seitdem erscheinen zunehmend auch andere Formen der Sexualität als legitim, so dass die Vorstellung, dass nicht miteinander Verwandte, die als Paar unverheiratet zusammenleben, "verwildert" seien, den meisten absurd erscheint.

Situation in Deutschland

Gründe für Partnerschaften ohne Trauschein
Viele von denjenigen, denen man vorhielt oder vorhält, sie lebten in "wilder Ehe", betracht(et)en ihre Lebensform als vorübergehend. Sie nahmen oder nehmen für sich das Recht in Anspruch, erst das Zusammenleben auszuprobieren und danach erst zu heiraten. Nach Wegfall strafrechtlicher Sanktionen für "unzüchtiges" Verhalten reduzierte sich der von der Gesellschaft ausgehende moralische Druck zu heiraten weitgehend auf sogenannte "Muss-Ehen". In der Gegenwart gelten selbst eine Schwangerschaft oder die Geburt eines gemeinsamen Kindes oft nicht mehr als hinreichender Grund für Partner in einer Lebensgemeinschaft, eine Ehe zu schließen.

Als Onkelehe wurde früher umgangssprachlich das eheähnliche Zusammenleben einer Witwe (und ihrer Kinder) mit einem Mann bezeichnet, den sie nicht heiraten wollte, um ihre Witwenrente nicht zu verlieren.

Es gibt Fälle eines (zumeist heimlichen) Zusammenlebens von Paaren als Reaktion auf Eheverbote. Bis in die 1950er-Jahre durften in einigen Teilen Deutschlands etwa Lehrerinnen nicht heiraten, mit der Begründung, "dass die Pflichten einer Hausfrau und Mutter mit der Tätigkeit einer Lehrerin unvereinbar sind". Das Zusammenleben selbst oder der Charakter des Zusammenlebens (etwa eines katholischen Pfarrers mit seiner Haushälterin) wurden und werden auch von katholischen Geistlichen verheimlicht. Als "wilde Ehe" werden auch bekannt gewordene systematische Verstöße gegen das Zölibatsgebot bezeichnet.

Ideologische Gründe für eine Nicht-Heirat gibt es in anarchistischen, durch antiautoritäre Vorstellungen beeinflussten Kreisen bereits seit dem 19. Jahrhundert. Die Ablehnung kirchlicher und bürgerlicher Moralvorstellungen ist besonders unter Linksliberalen weit verbreitet. Bereits 1908 schrieb die Anarchistin Emma Goldman:

Bratkartoffelverhältnis
In der Nachkriegszeit in Deutschland entstand die Bezeichnung "Bratkartoffelverhältnis" für ein Verhältnis, das von einem Mann wegen "bestimmter äußerer Annehmlichkeiten" ohne wirkliche Bindung unterhalten wurde. Einige Autoren sehen einen Zusammenhang mit den Auswirkungen des Ersten Weltkrieges und den aus der Not geborenen Zweckbeziehungen, bei denen es einigen Männern vor allem um die regelmäßige Versorgung mit warmen Mahlzeiten ging und eine Eheschließung von vornherein nicht geplant war. Die Benennung dieser Form des Zusammenlebens als Bratkartoffelverhältnis war besonders zum Ende der 1940er-Jahre verbreitet. Der Ausdruck bezog sich nach dem Zweiten Weltkrieg auf Beziehungen zwischen heimkehrenden Kriegsgefangenen und Witwen, die in wilder Ehe lebten, um den Verlust der Witwenrente zu vermeiden.

Rechtslage in Deutschland
Bis zur Einführung des § 180 Absatz 3 StGB im Jahr 1927 machte sich der Vermieter einer Wohnung wegen Kuppelei strafbar, wenn er einem nicht verheirateten Paar oder einer Prostituierten eine Wohnung vermietete oder überhaupt, wenn er in seiner Wohnung anderen Unzucht gestattete. Ziel der Einführung des § 180 Absatz 3 StGB war es, zu ermöglichen, dass Prostituierte eine Wohnung zum Arbeiten mieten können und damit der Straßenprostitution entgegenzuwirken. Aber auch Paare, die unverheiratet zusammenleben wollten, profitierten vom § 180 Absatz 3 StGB. Allerdings wurden bis zum Urteil des BGH vom 17. April 1970 (Az. I ZR 124/68) solche Mietverträge zivilrechtlich als sittenwidrig und damit unwirksam angesehen. Dieses Urteil wurde mit dem Sinn des § 180 Abs. 3 StGB begründet. Im gleichen Jahr wurde in Bayern das dort noch bestehende Konkubinatsverbot aufgehoben. Bis 1970 war es üblich, dass sich der Vermieter vor Abschluss eines Mietvertrags den Trauschein des Paares vorlegen ließ. Beherbergungsbetriebe (zum Beispiel Hotels) fielen nicht unter die Ausnahme des § 180 Abs. 3 StGB, da ein Hotelzimmer keine ständige Wohnung ist. Somit machten sich der Inhaber oder Mitarbeiter bis 1968 (DDR) oder 1973 (Bundesrepublik Deutschland) wegen Kuppelei strafbar, wenn sie einem unverheirateten Paar ein gemeinsames Zimmer vermieteten oder überhaupt Unzucht gestatteten. Deshalb gaben sich dort oft unverheiratete Paare als Ehepaar aus.

Im Recht der Sozialhilfe gelten solche Lebensgemeinschaften als Bedarfsgemeinschaft.

Aktueller Gebrauch
Mit dem Wandel der Sexualmoral vorrangig im Ergebnis der 68er-Bewegung wurden diese Lebensformen zunehmend toleriert und in Deutschland als nichteheliche Lebensgemeinschaften auch fortschreitend von Rechts wegen zur Kenntnis genommen, teilweise auch anerkannt.

Die Bezeichnung wilde Ehe wird umgangssprachlich noch verwendet, um – oft ohne wertende Absicht – eine Partnerschaft ohne Trauschein (eine konsensuale Lebensgemeinschaft) zu charakterisieren, manchmal auch freie Ehe. Daneben wird der Ausdruck im übertragenen Sinne für Kooperationen ohne vertragliche Grundlage verwendet, die sich nicht auf Lebensgemeinschaften beziehen.

Vereinigte Staaten

Im US-amerikanischen Recht existieren in einigen Bundesstaaten Lebensgemeinschaften unter der Bezeichnung Common-law marriage, die einige im deutschsprachigen Raum "wilde Ehen" nennen würden. In den USA wie auch in anderen Staaten, in denen es Regelungen über eine Common-law marriage gibt, ist es nicht ungewöhnlich, dass ein Paar, das weder vom Staat noch von einer Religionsgemeinschaft getraut wurde, dennoch mit dem Anspruch auf Verbindlichkeit unbehelligt als "verheiratetes Paar" auftreten darf.

Siehe auch
 Schrägstrichehe (ohne Heiratswillen)

Literatur
 Herrad Schenk: Freie Liebe, wilde Ehe: über die allmähliche Auflösung der Ehe durch die Liebe. Beck, München 1987, ISBN 3-406-32362-6.

Weblinks

Einzelnachweise

Eheform
Liebe

redpajama_set_name: RedPajamaWikipedia


The words racked, wracked sound the same but have different meanings and spellings. Why do racked, wracked sound the same even though they are completely different words?
The answer is simple: racked, wracked are homophones of the English language.
Simple past tense and past participle of rack.
Simple past tense and past participle of wrack.


My sitemap has a lot of urls so I have around 10 pages. To prove ownership do I need my Robots.txt to include every single page of the SiteMap.xml? Or can it just include the index page? Is the robots.txt way of verifying ownership even still a thing or does Google now just treat ownership as whats verified in Google search console? The documentation around this seems unclear.
Another thing that's unclear to me is regarding the folder and subdomain rules mentioned on sitemaps.org. Do these rules go away when doing a cross-site submission as the folder/subdomain are no longer relevant? E.g. if my sitemaps are on foo.com/SiteMapFiles/SiteMap.xml and that sitemap has URLs for bar.com/index.html is this still valid or does the sitemap have to live at foo.com/SiteMap.xml to follow the folder conventions?
Google just gives me a generic "URL not allowed" error without explaining much more.
What I have right now is. E.g. www.example.com, subdomain.staticAssets.com. My sitemap files are now as follows.
I then have https://www.example.com/Robots.txt with an entry.


text:
Ford Focus recall: Automaker recalls 58,000 vehicles that could get deformed fuel tank
Ford Motor Co. is recalling about 58,000 Focus cars in North America to fix a powertrain software issue that could cause a deformed fuel tank.
Ford Focus recall: Automaker recalls 58,000 vehicles that could get deformed fuel tank Ford Motor Co. is recalling about 58,000 Focus cars in North America to fix a powertrain software issue that could cause a deformed fuel tank. Check out this story on wausaudailyherald.com: https://www.usatoday.com/story/money/cars/2019/07/09/ford-focus-recall/1681471001/
Nathan Bomey, USA TODAY Published 8:53 a.m. CT July 9, 2019
Ford: An iconic company past and present
This undated image shows a 1924 Model T assembly line. Thanks to this and many other innovations, the time it took to build a Model T dropped from up to 14 hours to about 1.5 hours. Ford's iconic Model T was built for the common man and began to transform the U.S. landscape soon after it first rolled out of a Detroit factory. The Ford Motor Company via AFP/Getty Images
United Auto Worker prepares to install an instrument panel inside a 2017 Ford F-Series Super Duty truck at the Kentucky Truck Plant in Louisville, Ky on Sept. 30, 2016. Sam VarnHagen, Ford Motor Co., via AP
A sign sits in front of a Ford dealership on June 20, 2017 in Chicago, Illinois. Scott Olson, Getty Images
The 1961 Lincoln Continental convertible. Ford Motor Co. via AP
The 2017 Ford Mustang. Ford Motor Co. via AP
The 2017 Ford Expedition. Ford Motor Co. via AP
In this April 23, 2016, photo, Attendees take smartphone photos at a promotional event for Ford Motor Company ahead of the Auto China car show in Beijing on April 23, 2016. Mark Schiefelbein, AP
A prototype of the Ford Fusion police hybrid car sits along 11th Avenue in New York on April 7, 2017. Ford Motor Co. sells more police cars in the U.S. than any other automaker. Julie Jacobson, AP
Ford Chairman of the Board Henry Ford II, left, shuffles papers before calling the Ford Motor Company's annual stockholders meeting to order in Detroit on May 12, 1977. At Ford's left is Philip Caldwell, vice chairman of the board. Richard Sheinwald, AP
Mark Fields, incoming CEO of Ford Motor Company speaks before introducing the 2015 Ford Edge at the Ford Community and Performing Arts Center on June 24, 2014 in Dearborn, Michigan. Joshua Lott, Getty Images
Over the years, the iconic pony car - Ford Mustang - has been offered in just about every hue imaginable, whether it was color-shifting "Mystichrome" or Playboy Pink. Since Mustang is one of a handful of car models sold largely on emotion, color is important. This 1968 Mustang coupe comes in blue. Ford offered 19 shades of blue from 1967 to 1973. Ford Motor Company
New Ford F-150 pickups are displayed on the sales lot on April 28, 2015 in Colma, California. Justin Sullivan, Getty Images
1957 Ford F-100 Custom Cab pickup truck. Ford Motor Company
Ford newly appointed president and CEO Jim Hackett speaks after being named at a press conference at Ford Motor Company World Headquarters in Dearborn, Michigan, on May 22, 2017. Rena Laverty, European Pressphoto Agency
The 2015 Ford Mustang rolls off the line today at Flat Rock Assembly Plant, marking the start of production of the sixth generation of the iconic pony car. Sam VarnHagen, Ford Motor Company
U.S. malls are morphing to meet the needs of their retail spaces and the demands of shoppers. When Lord and Taylor pulled out of the Fairlane Town Center mall in Dearborn Michigan the mall's owners leased nearly 240,000 sq. ft. to the Ford Motor Company, who renovated the space to accommodate nearly 1,800 employees. Mandi Wright, Detroit Free Press
2013 Ford C-Max Hybrid headlines Ford's transformed lineup. Ford Motor Company
The 2015 Ford Mustang was unveiled in New York City on December 5, 2013. Ford Motor Co.
Auto industry pioneer Henry Ford poses in one of his designs in the early 1900s. AP
Ford said Tuesday that it would fix certain Focus sedans built at the automaker's Wayne, Michigan, factory.
The recall is intended to fix an "incomplete" powertrain control module software fix that was implemented during an earlier recall.
The issue affects certain 2012 and 2017 Focus vehicles with 2-liter GDI engines, as well as 2013-14 Focus ST vehicles with 2-liter GDI engines.
The defect causes the vehicles to be unable to detect a malfunctioning canister purge valve, which can cause an excessive vacuum in the vehicle's fuel vapor management system.
The automaker said it was not aware of any injuries or crashes associated with the defect.
Previous Focus recall: Ford recalls 1.5 million Ford Focus cars that could stall with fuel tank problem
The 2017 Ford Focus. (Photo: Ford Motor)
The recall compounds Ford's troubles with the recently discontinued Focus.
In October, the automaker recalled 1.46 million Focus cars in North America in connection with the same issue, affecting the 2012-18 Focus with 2-liter GDI and 2-liter GTDI engines.
The company is also facing a lawsuit alleging a $4 billion liability in connection with more than 1.9 million Focus and Fiesta vehicles that supposedly had faulty transmissions.
Follow USA TODAY reporter Nathan Bomey on Twitter @NathanBomey.
Read or Share this story: https://www.usatoday.com/story/money/cars/2019/07/09/ford-focus-recall/1681471001/
Semco Windows and Doors closes in Merrill; over 140 people lose jobs
A&W restaurant closed in Wausau, reopening uncertain
New owners of Patina Coffeehouse share plans for popular shop
Oct. 29, 2019, 12:13 p.m.

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: AngularJS x-editable Locale-based decimal separator I'm not able to make xeditable work with localized decimal numbers.
I have searched both in the official documentation and online in other forums/websites but I wasn't able to get any clue.
The only similar issue was this SO question: AngularJS xeditable number field with float validation
To sum up the problem: I would like to use a comma instead of a dot as a decimal separator but x-editable automatically transform the separator in a dot when I go into "edit mode". How can I deal with localization for decimal numbers?
Here is the code
<span e-form="rowform" e-name="value.value" editable-text="property.value.value" onbeforesave="checkIsNumeric($data)">
    {property.value.value || 'empty'}}
</span>

A: Have you tried using a locale file like described in the angular i18n documentation? You should pick one of your language that already contains a comma. Otherwise theoretically you could manipulate your locale file and add a comma as decimal separator. The different locale files (angular 1.4.7) can be downloaded here for example.

redpajama_set_name: RedPajamaStackExchange


pieces of CleanGenius Pro to commemorate Steve with his fans.
To celebrate the life of Steve, whose revolutionary designs and innovative products have changed the world and made our lives for better, we have decided to give away 1000 pieces of EaseUS Mac software. EaseUS CleanGenius is an award-winning and all-in-one Mac Cleaner.
Fast scan and clean your Mac in seconds, purifying your Mac and recovering hard disk space.
Completely uninstall the unwanted applications and delete related files.
Show the available disk space in the menu bar and main window.
Display a warning by changing the color to orange when your disk space is running low.
Eject all the mounted devices by a click, like external storage disks, CD and DVD disks, network storage, disk images.
©2012 EaseUS Software All rights reserved.


I have created a presentation in iSpring suite with a quiz at the end. We will be creating many of these and we would like the settings to be such that if a person happens to skip a few slides, they will still get their quiz score sent to the LMS. However, if they go straight to the quiz without viewing, say 95% of the material, they will not get credit or be recorded as completing the training.
Is there a way to do this? I have been experimenting with the "rate number of slides" and "weight" and I can't seem to figure it out.
If your course has both "rate quizzes" and "rate number of slides viewed" completion settings enabled, this means, that the final course score is calculated as an average of slides viewed and quiz results. I.e., if a user passes the quiz but views only 2 of 20 slides in the presentation, his final course status will be "Failed". The course will be passed if the user passes the quiz and views all the slides in the course.
Thank you for posting here. In the latest version of iSpring software you can select the On restart option (can be found in Playback and Navigation tab of the Publish window). Please select the Prompt to Resume or Always Resume option.
Thanks for the quick answer I had this checked but when I uplaod to digital chalk and test it seems that once I take one quiz and only veiw 12 of 58 slides it gets marked as completed. I need the student to complete the entire course before deemed completed does it have something to do with the weights of the quizes and the slides?
Please check the Progress and Completion settings. Go to Publish - LMS - Learning Course tab. Select how many slides should be rated and make sure that quizzes are rated as well, if you have any in your course. Quiz rating can be found in Properties of QuizMaker.
Please also keep in mind that your LMS may have its own settings for rating slides, and check them out as well.


Schools were never designed to teach us to be entrepreneurial – they were meant to teach us how to become employees. It's interesting that we were never taught how to manage our money – we were supposed to just get it and get on with it! Maybe you agree that we are missing a vital piece in our education and learning how to manage our money is just as important and more so, than a great chunk of the school curriculum.
Are You Ready to Build an Asset? Click here!


Jonathan, can you please tell us a bit about your career and current role at Anthony Collins?
I am one of the social housing sector partners; part of a multi-disciplinary housing sector team. My background is property law but my role at Anthony Collins has always been in the space where property, regulatory and housing operations mix; it has been an area full of a wide variety of instructions. My current role is to co-ordinate our work in the sector and be head of our new Manchester office.
What do you think are the biggest challenges facing the property sector in the Midlands?
The key issue is whether the "Brexit downturn" experienced in the south east will spread to the Midlands; if that results in a slowing down of residential development activity then for our social housing sector clients this would mean in a decrease in the section 106 "pipeline".
The other related difficulty is the challenge of delivering the West Midlands Combined Authority's "Housing Deal"; the Government is investing a lot in the area and the property sector in particular – the headline figure is £350M; the region must make sure it delivers.
If you could improve anything in the region what would it be?
Long term thinking; we have land in the West Midlands where people don't want to live; we must get to a place where we are bold and all stakeholders; local authorities, housing associations, Homes England; developers and funders combine to make those places desirable – I think the Housing Deal is a big step in doing just that.
What are the two most rewarding or most high-profile project that you've been involved in?
With Anthony Collins I have been proud to be involved in a lot of high-profile projects. A current project is working with the National Housing Federation and its members in developing the Voluntary Right to Buy Pilot for the Midlands – since it is voluntary the legislative framework that exists for the "usual" right to buy wasn't available so it was technically difficult. Our advice covered policy, planning, financial services, land law, rent charges and more; – it's a £200M project that will change the lives of tenants and their families in 3,000 homes and builds on the national pilot I lead on in 2016.
Building wise it's difficult to single out one - but 15 years on, the redevelopment of Lee Bank – a joint venture between Birmingham City Council, Optima Community Association and Crest creating a new district called Park Central transformed an area dubbed by its residents "the worse slum in Europe" –has stood the test of time.
In your view, what sets Anthony Collins apart?
We define what we do at Anthony Collins through our social purpose – improving lives, communities and society. Myself and my colleagues have joined Anthony Collins to do just that. We work in specific sectors all of which are focussed on those outcomes - it means we are on the same page as our clients and together we can produce life changing results.
The firm opened a new Manchester office in January; how are things progressing?
As much as better serving our North West clients, the office is about giving lawyers in the Greater Manchester area an opportunity to work for a social purpose law firm; Manchester has a proud history of social activism and we are talking to a number of lawyers interested in joining us; so far we have had lawyers from Trowers & Hamlins, Barnardos and Fiona Bruce join us; we're looking forward to having a well-known NW Social Housing Property Partner join us in July to head our Social Housing property team.
Finally, what's the best thing about your job?
Working somewhere where I can make a positive contribution with my skills.
BCL Legal is assisting Anthony Collins Solicitors to recruit Real Estate Solicitors for a number of exciting new roles in both Birmingham and Manchester. Apply now or click here for more information.


text:
Nintendo's Iwata: Downloadable DS Games Could Sell More Systems
Author: Nate RalphNate Ralph
In this photo released by
Bob Riha Jr.
In an interview with the Yomiuri Shimbun, Nintendo president Satoru Iwata claims that the company can still sell more of its popular Nintendo DS handheld, thanks in part to downloadable software.
The new Nintendo DSi model's ability to download games means that it can be "customized for the individual," said Iwata. What that means is that it might "create a trend in which each family member will have his or her own DSi with their favorite software installed."
Iwata also pointed out that even though DSi sales have reached astounding levels in its native Japan, overseas markets are still ripe with opportunity.
"In Japan, a country with a population of 127 million, we've sold 23 million DS units," he said. "The United States is inhabited by over 300 million people, and there are more than 490 million people in the European Union. Sales of the product could grow further in foreign countries considering their populations."
With the middling economy hampering lifestyles, many are turning to video games as a cost-effective way to cure boredom – just ask GameStop. And who'll be there to give us quality entertainment at an affordable price? Nintendo, with the DSi on the way to give us yet another reason to open our wallets.
I'd love to toss in a snarky comment , but I own two DS Lites and one
DS Phat, and will be swiping up the first DSi I can get my hands on, making me part of the problem. You win this round, Nintendo.
Chris says: Easily the most interesting part of Iwata's comments is the bit about downloadable content possibly encouraging family members to each purchase their own DSi and load it up with their own personal suite of apps. That's something about DSiWare that I hadn't considered – that it could be part of Nintendo's strategy to further increase the number of DS units in use around the world.
Image: Nintendo
Nintendo head upbeat about gaming [Yomiuri Shimbun]
See Also:- New 'Nintendo DSi' Can Download Games, Take Pics, Play Music ...
Video: Is This a Hacked DSi?
Nintendo Ships 200000 DSi Units in Japan
Game|Life Video: Reviewing the Nintendo DSi
Q&A: Nintendo's Cammie Dunaway Talks DSi, Club Nintendo
Nintendo Posits Zelda-Themed DSi Apps


The Cambridge dictionary defines the word 'rocky' as 'usually rough and difficult to travel along or unable to balance very well'. Rocky seemed like a perfect way to describe what most people on the planet are experiencing in their life journey. Since I am fascinated with how the average person seems to be able to overcome extreme obstacles and thrive, even after so many life challenges, 'This Rocky Life' shall be the name of my weekly Sunday column, here at SaultOnline.com.
If there could be a word that would generally described my previous week, bliss would not be anywhere in the conversation. This week, my husband referred to me as a number of the seven dwarfs, plus a few extra. Grumpy and sleepy topped the list, for sure.
I locked myself out of my office for hours, chugged to the gas station, almost running out of gas, while constantly saying that I would fuel up right after this next errand, almost missed the payroll deductions deadline, spilled food down my shirt, at least three times, almost slipped and fell twice, putting my back out of alignment, woke up with night terrors several nights, drank a can of Coca Cola, for energy, that ended up keeping me awake for 22 hours straight and didn't know if I was coming or going.
Sometimes life has a way of throwing a wrench into our perfectly organized plans and letting us know that we really don't have any control over anything.
As much as I would usually describe myself as extremely organized, with tendencies towards obsessive compulsive disorder, I could not get a handle on anything this week.
My car was filled with things that needed to be dropped off, mailed, returned or washed. As a matter of fact, I just remembered that I have 12 pairs of boot liners in my trunk that need washing… I had papers, receipts, bills and mail overloading my computer bag. I have used every pair of black and grey dress pants that I fit, and all need washing. The dishes are piled in the sink in front of me and my coffee, which I brewed in the Keurig this morning, is still sitting full in the machine.
Despite all of that, I am actually feeling quite peaceful right now. I have learned that it is the special moments, the times of joy and experiences of bliss that make life more meaningful. I have learned that my house always needs cleaning, even when I just spend hours doing it last week. I have learned that there will always be errands, lists, tasks and items that need my attention and action.
It took me; however, over four decades, to figure out that when we can choose to appreciate the times that really matter, we have discovered the key to living fully.
Tonight, at the end of my crazy week, I sat in a beautiful restaurant, having a candle lit dinner with my daughter, my husband and my handsome grandson. I got to hold him endlessly, stare into his eyes, watch his pouty lip and listen to his baby whimpers. I looked over at my beautiful daughter and realized how great of a mother she is and how gracefully she is handling motherhood. My heart felt full as I closed my eyes lovingly as I looked over at my husband and was thankful we were all together to experience some quality time together.
When we arrived home, we were greeted by the cutest and fluffiest looking racoon looking into our patio door. Even though my husband knew he was likely up to no good and about to rip apart the cover on our bbq, I couldn't help but feel happy that he had stopped by for a visit.
Life is full of a hundred reasons for us to be miserable, angry, disappointed and confused. It also; however, gives us so many opportunities to express, feel and cherish things to be grateful for.
I still haven't figured out how to make all of life's stressors go away, how to fix pain that people are feeling or how to end the series of disappointments that plague our lives, but I do know that we are given an abundance of chances to take in what is really important, what brings us happiness and what fills our heart with peace.
I hope that you can stop the chaos in your own world, for a few moments a week, to truly feel blessed for the things that are good.
What brings you bliss? What makes your heart smile?


text:
Q: stop powershell with keypress How can I stop Powershell by pressing a key. I have a loop, which should be stopped, when I press "q". How to do that.
I have found the following code, but didn't work
while($true) {
    Write-Host "Working" -BackgroundColor Green

    if($Host.UI.RawUI.KeyAvailable -and ("q" -eq $Host.UI.RawUI.ReadKey("IncludeKeyup,NoEcho").Character)) {
        Write-Host "Exiting now, don't try to stop me...." -BackgroundColor DarkRed
        break;
    }
}

Anyone got an idea?

A: If you want to exit the program itself you could use Ctrl+C and it will stop the script.
You could be more specific, that if you have some code to run after the loop, in that case this wont work.

A: the same code works, but not in PowerShell ISE but in the normal PowerShell console. You guys have to save it if you are scripting and then execute via Powershell console.


text:
Dietary patterns and changes in body composition in children between 9 and 11 years
Andrew D. A. C. Smith1, Pauline M. Emmett1, P. K. Newby2,3,4 and Kate Northstone1*
1School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; 2Department of Pediatrics and Program in Graduate Medical Nutrition Sciences, School of Medicine, Boston University, Boston, MA, USA; 3Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA; 4Program in Gastronomy, Culinary Arts, and Wine Studies, Metropolitan College, Boston University, Boston, MA, USA
Objective: Childhood obesity is rising and dietary intake is a potentially modifiable factor that plays an important role in its development. We aim to investigate the association between dietary patterns, obtained through principal components analysis and gains in fat and lean mass in childhood.
Design: Diet diaries at 10 years of age collected from children taking part in the Avon Longitudinal Study of Parents and Children. Body composition was assessed using dual-energy X-ray absorptiometry at 9 and 11.
Setting: Longitudinal birth cohort.
Subjects: 3911 children with complete data.
Results: There was an association between the Health Aware (positive loadings on high-fiber bread, and fruits and vegetables; negative loadings on chips, crisps, processed meat, and soft drinks) pattern score and decreased fat mass gain in girls. After adjusting for confounders, an increase of 1 standard deviation (sd) in this score led to an estimated 1.2% decrease in fat mass gain in valid-reporters and 2.1% in under-reporters. A similar decrease was found only in under-reporting boys. There was also an association between the Packed Lunch (high consumption of white bread, sandwich fillings, and snacks) pattern score and decreased fat mass gain (1.1% per sd) in valid-reporting but not under-reporting girls. The main association with lean mass gain was an increase with Packed Lunch pattern score in valid-reporting boys only.
Conclusions: There is a small association between dietary patterns and change in fat mass in mid-childhood. Differences between under- and valid-reporters emphasize the need to consider valid-reporters separately in such studies.
Keywords: dietary patterns; principal components analysis; ALSPAC; body composition; valid-reporters
Responsible Editor: Anja Olsen, Institute of Cancer Epidemiology, Danish Cancer Society, Denmark.
Received: 6 September 2013; Revised: 22 May 2014; Accepted: 11 June 2014; Published: 8 July 2014
Food & Nutrition Research 2014. © 2014 Andrew D. A. C. Smith et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation: Food & Nutrition Research 2014, 58: 22769 - http://dx.doi.org/10.3402/fnr.v58.22769
Increasing prevalence of obesity in developed countries is a major public health concern. In 2007–08, an estimated 34% of US adults had a body mass index (BMI) of at least 30 (1), a prevalence that steadily increased over the previous 3 decades (2). A similar increase has been observed in US children (3) and appears to be at an all-time high (4) with no sign of abating (5). The prevalence of obesity and overweight among children in the European Union is accelerating (6), and it is estimated that 37% of children in 2010 will have excess body fat, defined using International Obesity TaskForce (IOTF) cutoffs. Prevalence is also high in UK children, with 33% of English children aged 10–11 estimated to be overweight or obese, according to national BMI percentiles, in 2010–11 (7). Obesity in adults and children is linked to a wide range of negative health and social outcomes (8), and childhood obesity is linked to obesity in adulthood (9). Therefore, it is important to understand the causes and effects of obesity, overweight, and fat mass gain in children.
Dietary patterns are a useful method of describing diet and its effect on health outcomes (10). They have an advantage over methods that examine individual food or nutrient intakes as they assess the whole diet and recognize that foods are consumed in combination. Principal components analysis (PCA) is one method of deriving dietary patterns that uses the correlation between foods to create scores that quantify different dietary patterns present in a population. As it provides multiple continuous scores, PCA is a useful tool for investigating the effects of diet on the development of obesity, and allows for exploration of effects of more than one dimension of dietary variation (11). Dietary patterns are used as exposures for many health outcomes (12, 13), including obesity, particularly in studies of children in Australia (14), Korea (15), Scotland (16), and USA (17).
Cross-sectional studies that compare dietary patterns with BMI in adults give inconsistent results (18) and, therefore, there is a need for longitudinal studies of the association between dietary patterns and obesity-related outcomes in both adults and children (19). BMI is not a perfect surrogate measure for obesity, as body mass is made up of lean and fatty tissue as well as bone. Body composition measures that assess the mass of each type of tissue give a better depiction of the physical makeup and adiposity of an individual. Increased BMI may be caused by increased fat mass or increased lean mass, or both. Therefore, it is important to consider both of these as potential obesity-related outcomes. Dietary assessment is prone to invalid reporting, and individuals can be classified as under-reporters based on their energy intake (EI). The purpose of this study is to investigate the association between dietary patterns, obtained through PCA of diet diary data from children aged 10, and gains in fat and lean mass between ages 9 and 11. Rather than excluding under-reporters, we seek to investigate whether inaccurate reporting has an effect on the relationship between dietary patterns and body composition.
This study used data from the Avon Longitudinal Study of Parents and Children (ALSPAC), an ongoing population-based cohort study in the United Kingdom (20). Eligible participants were pregnant women, living in the Avon health authority area in South-West England, who were expected to deliver between April 1991 and December 1992 inclusive. Further details are available on the ALSPAC website (http://www.bristol.ac.uk/alspac). This study used data from the core ALSPAC sample, consisting of 14,541 pregnancies, and participants later invited to participate, comprising an additional 542 eligible pregnancies. This provided a baseline group of 14,535 children who were alive at 1 year of age. Ethical approval for the study was obtained from the ALSPAC Law and Ethics Committee and the Local Research Ethics Committees.
Dietary assessment
The study children were invited to complete a 3-day diet diary prior to a clinic they attended at a mean age of 10 years 8 months (standard deviation [sd] 3 months). A fieldworker conducted a 24 h diet recall, during the clinic, if children did not complete the diary beforehand. The diaries and recalls provided the weight and energy contribution of every food consumed by the child. The accuracy of reporting was assessed by comparing reported total EI with estimated energy requirement (EER) for each child (21).
The latter was calculated for each child based on his/her body weight, using separate equations for boys and girls, with an increment added for energy used in growth. The validity of reported EI was assessed by comparing the calculated EER with EI: any ratio less than 78.45% or above 121.55% was classified as under-reporting or over-reporting, respectively.
Foods were allocated to 62 groups, chosen to be as similar as possible to groupings in studies (22–24) based on food frequency questionnaires (FFQs) administered to the ALSPAC children. The input variables for dietary pattern analysis were the average weight consumed (g/d) by each child in each of these 62 food groups.
Dietary patterns were previously extracted from this data (25) by PCA, which uses the correlations between food intake variables to express them as a small number of components, which are linear combinations of the food intake variables that explain as much as possible of the variation in the sample. Three components were deemed to best explain the underlying dietary patterns in the population, and each child had a score for each component. Within the first component, the foods that contributed most to positive scores were fruits and vegetables, high-fiber bread, pasta, cheese, and fish, while the foods that contributed most to negative scores were chips (French fries), crisps (potato and corn snacks), processed meat, and fizzy (carbonated) drinks. This component was labeled Health Aware. The foods that contributed most to the second component were meat, roast potatoes, vegetables, batter and pastry products, low-energy-density (<200 kcal/100 g) sauces such as gravy, and desserts. This component received the label of Traditional as it seemed to describe a traditional British diet. In the third component, the foods with highest contributions were low-fiber bread, margarine, cheese, cold meats, salty flavorings such as yeast extract, and diet squash (dilutable soft drink). This component was labeled Packed Lunch. All component scores were standardized, by subtracting the mean and dividing by the standard deviation, before analysis.
Body composition measurement
Children received an invitation to attend two additional clinics at mean age 9 years 11 months (sd 4 months) and 11 years 9 months (sd 3 months) during which body composition was assessed using total-body dual-energy X-ray absorptiometry (DXA) scans, performed using a Lunar Prodigy dual-energy X-ray absorptiometer (General Electric), giving fat mass, lean mass, and bone mass for each child. Height was measured with a Harpenden stadiometer. Some scans were removed from analysis due to anomalies caused by movement or metal artifacts (26).
Confounding variables
Several variables were considered as potential confounders between dietary pattern scores and differences in fat mass and lean mass between ages 9 and 11. Some were already known to be associated with the above dietary pattern scores (25). Confounders were included if they were associated with both exposure and outcome. Variables considered as confounders are described as follows: During pregnancy, the mothers completed questionnaires that ascertained their highest educational attainment and smoking history, as well as self-reported pre-pregnancy height and weight from which BMI was calculated. The mother's age at delivery was calculated based on her date of birth. Gestation was derived from delivery files or from the last menstrual period. The birthweight of the child was collected from obstetric data, measurements taken by ALSPAC fieldworkers shortly after birth, and birth notifications. The child's ethnicity was calculated based on questionnaires administered during pregnancy: children were classified as non-White if the mother reported that either parent was non-White. Girls in the study, or their care-givers, completed a series of questionnaires that asked about menarche. These were first administered at 8 years of age and then approximately annually thereafter.
All children that attended the clinic at age 11 were asked to wear an Actigraph accelerometer (Manufacturing Technology Incorporated) for a period of up to 7 days after attending the clinic (27). Data extracted from the accelerometers, expressed as the mean counts per minute (cpm) during the period of wear, provided an objective measure of the physical activity of the children at that age.
Statistical modeling
Primary analyses were stratified by gender and by the under-/over-reporting variable. The number of over-reporters was small compared with the number of under- and valid-reporters, so over-reporters were excluded from the analyses. The characteristics of children included in each model were compared with the baseline group, and the characteristics of under-reporters were compared with valid-reporters, using t tests and chi-squared tests. Statistical calculations were carried out in Stata version 11 (StataCorp: College Station, Texas).
The relationship between dietary pattern scores and changes in fat or lean mass was investigated using multiple linear regression. Three models were considered: the initial model (Model 0) adjusted only for the effect of height. The next model (Model 1) also included confounders: maternal education and smoking were included as categorical effects, as was a variable indicating whether girls experienced menarche between body composition assessments. Maternal age and BMI were added as linear effects, as was the average daily EI, as recorded by the diet diaries and recalls, and the residual of birthweight. This was obtained from a model adjusted for gestation and size of pregnancy through nonlinear regression, in which a Gompertz curve modeled the relationship between gestation and log-transformed birthweight. The final model (Model 2) was the same as Model 1 but included physical activity (cpm) as a linear effect. Several variables were log-transformed to reduce the effect of their skewness, specifically fat and lean mass, height, maternal BMI, birthweight residual, and physical activity counts. Statistical tests were based on transformed variables, which were transformed back for presentation in results.
A total of 7,473 children (51.4% of the baseline group) had complete dietary data and therefore had dietary pattern scores. Of these 5,827 (78.0%) had valid data from DXA scans at both measurement occasions. After removing 202 over-reporters and 25 without reporting information, there were 5,600 children (74.9%) available for analysis. Due to missing values in the confounding variables, there were 4,595 children (61.5%) included in Model 1 and 3,911 children (52.3%) included in Model 2.
The characteristics of the children in each model are compared with the rest of the children in the ALSPAC study in Table 1. Children with complete data were more likely to be girls, White, and have older, more educated, and non-smoking mothers. There was no association between maternal BMI and data availability. These differences did not change when fewer children were available for Models 1 and 2.
Table 1. Summary of characteristics of children, as means (sd) or number in each category (proportion), included in Models 0, 1, and 2, and comparison with baseline group
Baseline Model 0 P Model 1 P Model 2 P
Boys 7,477 (51.45%) 2,734 (48.8%) <0.001 2,285 (49.7%) 0.005 1,892 (48.4%) <0.001
Girls 7,056 (48.55%) 2,866 (51.2%) 2,310 (50.3%) 2,019 (51.6%)
White 11,474 (95.0%) 4,934 (96.5%) <0.001 4,378 (96.6%) <0.001 3,727 (96.6%) <0.001
Non-White 609 (5.04%) 177 (3.46%) 153 (3.38%) 130 (3.37%)
Birthweighta (kg) 3.360 (0.353) 3.367 (0.334) <0.001 3.375 (0.319) <0.001 3.373 (0.320) <0.001
Maternal age (y) 28.0 (4.96) 29.2 (4.47) <0.001 29.4 (4.40) <0.001 29.3 (4.39) <0.001
Maternal BMI (kg/m2) 22.93 (3.85) 22.95 (3.71) 0.355 22.93 (3.70) 0.547 22.96 (3.70) 0.289
Maternal smokingb
Never smoked 6,429 (49.25%) 3,015 (57.8%) <0.001 2,690 (58.5%) <0.001 2,276 (58.2%) <0.001
Smoker 6,626 (50.75%) 2,202 (42.2%) 1,905 (41.5%) 1,635 (41.8%)
Maternal education
Vocational/age-16 qualification 8,024 (64.6%) 2,879 (55.6%) <0.001 2,501 (54.4%) <0.001 2,137 (54.6%) <0.001
Age-18 qualification 2,794 (22.5%) 1,428 (27.6%) 1,279 (27.8%) 1,077 (27.5%)
Post-18 qualification 1,600 (12.9%) 874 (16.9%) 815 (17.7%) 697 (17.8%)
aAdjusted for gestation and size of pregnancy.
bBefore/during pregnancy.
Table 2 compares the characteristics and measurements of under-reporters with valid-reporters. Under-reporters had lower mean dietary pattern scores compared with valid-reporters (all P<0.005), with the exception of the Health Aware pattern in boys, which did not differ. They also had lower mean EIs (P<0.001). Under-reporters were, on average, heavier and taller than valid-reporters (all P<0.001) at both 9 and 11 years of age. Furthermore, there was strong evidence (all P<0.001) that under-reporters were on average heavier at birth, were less physically active, and had lower educated mothers with greater BMIs.
Table 2. Summary of variables included in models, as means (sd) or number in each category (proportion), and tests for differences, between valid- and under-reporters
Boys Girls
Valid-reporters Under-reporters P Valid-reporters Under-reporters P
Variables in Model 0
Health aware componenta −0.016 (1.037) −0.064 (0.987) 0.241 0.147 (0.977) 0.019 (0.865) <0.001
Traditional componenta 0.085 (1.041) −0.060 (0.943) <0.001 0.022 (0.966) −0.085 (0.880) 0.003
Packed lunch componenta 0.113 (1.042) −0.136 (0.939) <0.001 0.032 (0.962) −0.162 (0.827) <0.001
Fat mass aged 9 years (kg) 5.739 (3.018) 10.306 (5.851) <0.001 8.461 (4.300) 12.061 (5.528) <0.001
Fat mass aged 11 years (kg) 8.352 (4.582) 14.348 (7.879) <0.001 11.527 (5.812) 15.955 (7.355) <0.001
Lean mass aged 9 years (kg) 24.980 (2.734) 26.444 (3.057) <0.001 23.131 (2.975) 24.485 (3.249) <0.001
Lean mass aged 11 years (kg) 29.481 (3.818) 31.576 (2.734) <0.001 28.744 (4.338) 30.525 (4.466) <0.001
Height aged 9 years (cm) 139.1 (5.976) 141.5 (5.936) <0.001 138.7 (6.502) 140.6 (6.412) <0.001
Height aged 11 years (cm) 149.2 (6.757) 152.0 (6.946) <0.001 150.8 (7.253) 152.8 (7.045) <0.001
Added in Model 1
Average energy intake (kJ/d) 2087 (288.1) 1635 (265.0) <0.001 1901 (251.7) 1474 (226.2) <0.001
Birthweightb (kg) 3.415 (0.352) 3.435 (0.338) <0.001 3.325 (0.293) 3.335 (0.253) <0.001
Menarche aged 9–11
Yes 93 (6.24%) 83 (10.1%) 0.001
No 1397 (93.8%) 737 (89.9%)
Maternal age (y) 29.5 (4.47) 29.5 (4.40) 0.968 29.3 (4.43) 29.0 (4.19) 0.097
Maternal BMI (kg/m2) 22.61 (3.33) 23.76 (4.31) <0.001 22.49 (3.52) 23.54 (3.80) <0.001
Maternal smokingc
Never smoked 880 (59.5%) 449 (55.7%) 0.079 901 (60.5%) 460 (56.1%) 0.041
Smoker 599 (40.5%) 357 (44.3%) 589 (39.5%) 360 (43.9%)
Vocational/age-16 qualification 778 (52.6%) 471 (58.4%) 0.025 786 (52.8%) 466 (56.8%) 0.078
Age-18 qualification 441 (29.8%) 206 (25.6%) 411 (27.6%) 221 (27.0%)
Post-18 qualification 260 (17.6%) 129 (16.0%) 293 (19.7%) 133 (16.2%)
Physical activity at 11 (cpm) 680 (192) 631 (183) <0.001 556 (153) 532 (144) <0.001
aStandardized.
bAdjusted for gestation and size of pregnancy.
cBefore/during pregnancy.
Tables 3 and 4 show the estimated coefficients of the linear regression models for the effect of dietary patterns on differences in fat and lean mass stratified by gender, for valid- and under-reporters, respectively. The estimates are presented after transforming back from log fat mass and log lean mass, hence they are multiplicative effects. To illustrate this, consider two valid-reporting boys whose scores for the Health Aware pattern differ by 1 sd. Under Model 0, the child with the higher score will have a gain in fat mass, between age 9 and age 11, that is, 0.987 times that of the child with the lower score. In other words, an increase of 1 sd in the Health Aware score was associated with a 1.3% decrease in fat mass gain.
Table 3. Multiplicative increase/decrease in mass gain associated with 1 sd increase in component score (valid-reporters)
Fat mass Lean mass
Boys Girls Boys Girls
Number of children in analysis Model 0 1,729 1,836 1,729 1,836
Model 1 1,479 1,490 1,479 1,490
Health aware Model 0 0.987 (0.976, 0.997) 0.980 (0.971, 0.989) 1.001 (0.999, 1.002) 0.998 (0.996, 1.001)
P 0.016 <0.001 0.449 0.140
Model 1 0.991 (0.979, 1.003) 0.990 (0.978, 1.001) 1.000 (0.998, 1.002) 0.997 (0.994, 1.000)
P 0.147 0.076 0.888 0.021
Traditional Model 0 1.004 (0.993, 1.014) 0.992 (0.983, 1.001) 1.000 (0.998, 1.002) 0.999 (0.996, 1.001)
Packed lunch Model 0 0.998 (0.987, 1.009) 0.986 (0.976, 0.995) 1.002 (1.001, 1.004) 1.002 (0.999, 1.004)
Table 4. Multiplicative increase/decrease in mass gain associated with 1 sd increase in component score (under-reporters)
Model 1 806 820 806 820
P <0.001 <0.001 0.370 0.252
In the model that only adjusted for height (Model 0), there was evidence among valid-reporters (Table 3) for an association between the Health Aware pattern and decreased fat mass gain in girls: an increase of 1 sd in Health Aware score gave an estimated 2.0% (95% CI: 1.1%, 2.9%) decrease in fat mass gain. There was also evidence (P=0.020 in Model 0) for an association between the Packed Lunch pattern and decreased fat mass gain in valid-reporting girls: an increase of 1 sd in Packed Lunch score gave an estimated 1.4% (95% CI: 0.5%, 2.4%) decrease in fat mass gain. With regard to boys, there was evidence for a small association between the Packed Lunch pattern and increased lean mass in valid-reporters: an increase of 1 sd in Packed Lunch score gave an estimated 0.2% (95% CI: 0.1%, 0.4%) increase in lean mass gain.
These associations were still present after adjusting for confounding and physical activity, although the effect sizes were attenuated. In valid-reporting girls, an increase of 1 sd in Health Aware score gave an estimated 1.2% (95% CI: 0.0%, 2.4%) decrease in fat mass gain, and an increase of 1 sd in Packed Lunch score gave an estimated 1.1% (95% CI: 0.0%, 2.2%) decrease. Additionally, in Model 2, there was an association between the Health Aware pattern and decreased lean mass gain in girls: an increase of 1 sd in Health Aware score gave an estimated 0.3% (95% CI: 0.0%, 0.6%) decrease in lean mass gain. In boys, an increase of 1 sd in Packed Lunch score gave an estimated 0.3% (95% CI: 0.1%, 0.5%) increase in lean mass gain in valid-reporters, but the association between the Health Aware score and fat mass gain was no longer present.
In under-reporters (Table 4), there was an association between the Health Aware pattern and decreased fat mass gain in boys as well as girls. In Model 2, an increase of 1 sd in Health Aware score gave an estimated 2.9% (95% CI: 1.0%, 4.8%) decrease in fat mass gain in boys, and an estimated 2.1% (95% CI: 0.4%, 3.8%) decrease in girls. Unlike valid-reporters, there were no associations between body composition and the Packed Lunch pattern, or between dietary patterns and lean mass.
We have observed small associations between dietary pattern scores and changes in fat and lean mass in mid-childhood. A dietary pattern high in high-fiber bread, pasta, cheese, fish, fruits and vegetables, and low in chips, crisps, processed meat, and soft drinks (Health Aware), was linked with decreased fat mass gain in girls between the ages of 9 and 11. A pattern high in sandwiches and snacks (Packed Lunch) was also associated with decreased fat mass gain in girls and a small increase in lean mass gain in boys. These associations were observed after adjusting for height, potential confounders, EI, and physical activity.
The associations between dietary patterns and obesity-related outcomes are inconsistent in cross-sectional studies (18). Some cross-sectional studies of food intakes, rather than dietary patterns, corroborate our findings: children with low intakes of fruits and vegetables, who would therefore not score highly on our Health Aware pattern, are known to be at greater risk of overweight or obesity (28) and children with high consumption of sugary drinks, leading to more negative scores on our Health Aware pattern, are associated with increased obesity risk (29). A cross-sectional study of Greek children aged 1–5 (30) shows an association between obesity and a dietary pattern consisting of reduced consumption of fruits and vegetables and increased consumption of sweets and red meat. This is similar to the association between our Health Aware component and reduced fat mass gain. A cross-sectional study of children in Scotland aged 5–11 (16) shows an association between lower BMI in boys and a dietary pattern high in sandwiches, snack foods and soft drinks, which is somewhat similar to our Packed Lunch pattern. This study also observed an association between higher BMI and a dietary pattern high in fish, potatoes, and pasta, which is in contrast to our Health Aware pattern and observed association with reduced fat mass gain. There is a reported association between overweight and a dietary pattern characterized by high consumption of meat and fish, in Korean children of mean age 5 (15). A study of Australian children aged 12–18 (14) shows that the observed associations between dietary patterns and BMI, or waist circumference, were actually the result of confounding.
The studies described above are all cross-sectional, and it is therefore difficult to tease out any temporal relationship. Our study benefits from a longitudinal design, which allows the measurement of gains in fat mass and lean mass, and the examination of their associations with dietary patterns. In a longitudinal study of US adolescents that examines associations between dietary patterns and obesity 5 years later (17), overweight/obesity was negatively associated with a vegetable-based dietary pattern in older girls, and negatively associated with a snack-based dietary pattern in older boys, which is similar to the results that we found. However, it was also negatively associated with starchy foods in younger boys, and positively associated with fruits in younger boys, which is not consistent with our findings.
A particular strength of our study is the examination of body composition, in the form of fat and lean mass, as opposed to BMI. In addition, fat mass was measured with DXA, rather than relying on predictions based on percentage fat mass based on bioelectric impedance, which may be biased (31). A series of cross-sectional studies employing DXA (32) show similarities with our findings: an association between low fat mass and a dietary pattern with high intakes of dark green and deep yellow vegetables, which load positively on our Health Aware pattern, and an association between high fat mass and fried foods, which load negatively on our Health Aware pattern. We observed that lean mass gain is not as strongly influenced by diet as fat mass gain. Therefore, the differences in BMI associated with dietary patterns are more likely to be the result of associations with fat mass rather than lean mass.
Additional strengths of this study are the relatively large sample size, adjustment for confounders, and physical activity measurement, although we cannot rule out the possibility of residual confounding. We have previously shown in this population that diet is not associated with age at menarche (33) and have no reason to suspect that it would be associated with puberty onset in boys and so chose not to adjust for age at puberty. We adjusted for physical activity using accelerometers as an objective measurement rather than self-report, which, like dietary measurements, may be susceptible to invalid reporting. Limitations include the level of dropout from baseline which introduces potential bias in the sample towards girls, White children, and children with older, more educated, non-smoking mothers. However, these factors were adjusted for in the analysis. Finally, as the associations between dietary patterns and obesity outcomes are inconsistent in the literature, and PCA is a population-specific method, it may not be easy to generalize our results to other populations.
We have shown that it is important to consider the possibility of under-reporting and the effect that it might have on associations between dietary patterns and obesity-related outcomes. We are aware of no studies of these associations that considered under-reporting. Under-reporters had, on average, lower pattern scores and a higher fat and lean mass than valid-reporters. Therefore, not adjusting for reporting could result in the attenuation of estimates of association. Stratification by reporting showed that there were associations between the Health Aware pattern and fat mass in both groups, but an association between the Packed Lunch pattern and body composition only in valid-reporters.
Some studies (30, 32) use reduced rank regression (RRR) to simultaneously derive dietary patterns and their associations with obesity outcomes. It is likely that RRR would find greater associations, in this study, than those observed with PCA as it can be tuned to construct dietary patterns that are likely to be associated with the outcome variable. However, PCA has the advantage that it looks at more than one dimension of variation in diet (11). In this study this meant that we were able to show that the traditional dietary pattern had no association with gains in fat or lean mass, and were able to observe associations between fat mass and both the Health Aware and Packed Lunch dietary patterns.
The primary conclusion of this study is that a diet high in high-fiber bread, pasta, cheese, fish, and fruits and vegetables, and low in chips, crisps, processed meat, and soft drinks, may lead to a reduction in fat mass gain during childhood. A further implication is that Packed Lunch type dietary patterns are worth investigating, as they may have a similar effect despite their correlation with low-fiber bread and snack foods. Further research is necessary to investigate whether this type of dietary pattern, and its effect, is exclusive to children and if not, at what age it disappears. We conclude that diet in childhood, assessed using dietary patterns obtained from PCA, has a small effect on fat mass gain, and this is important in the context of childhood obesity tracking into adulthood.
We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses. The UK Medical Research Council, the Wellcome Trust (Grant ref: 092731) and the University of Bristol provide core support for ALSPAC. This work was supported by the World Cancer Research Fund grant number 2009/23.
Conflict of interest and funding
All authors declare no conflict of interest.
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Northstone K, Emmett P, ALSPAC Study Team. Multivariate analysis of diet in children at four and seven years of age and associations with socio-demographic characteristics. Eur J Clin Nutr 2005; 59: 751–60. PubMed Abstract | Publisher Full Text
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Smith ADAC, Emmett PM, Newby PK, Northstone K. A comparison of dietary patterns derived by cluster and principal components analysis in a UK cohort of children. Eur J Clin Nutr 2011; 65: 1102–9. PubMed Abstract | Publisher Full Text
Smith ADAC, Emmett PM, Newby PK, Northstone K. Dietary patterns obtained through principal components analysis: the effect of input variable quantification. Br J Nutr 2013; 109: 1881–91. PubMed Abstract | Publisher Full Text
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*Kate Northstone
School of Social and Community Medicine
Oakfield House, Oakfield Grove
Bristol BS8 2BN, United Kingdom
Email: Kate.Northstone@bristol.ac.uk


In August 1989 the average high temperature in Northway, AK was 71.1°F, and this was 4.9°F warmer than the average of 66.2°F. The hottest day in August 1989 was 13 August when the temperature reached 84.0°F. Overnight the average temperature in August is 44.1°F and in 1989 the average overnight temperature was 1.6°F warmer at 45.7°F.
In August the average monthly rainfall in Northway, AK is 0.99 inches with rain usually falling on 12 days. In August 1989 there was a total of 1.36 inches of rain, that fell on 7 days.


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Games, Sports ... World of Tanks ... Tank T54E1 guide World of Tanks ...
Tank T54E1 Guide World of Tanks
So you opened the American ST 10 level - M48A1 Patton III or popularly "superpatton". The American is very different from his "classmates". It has no outstanding speed (45km / h) or armor (building 110/76/35, tower 178/76/51), a weapon (damage 268/350/53, breaking through 390/390/480 HP) is worse than on E -50M, the dynamics are low. But still M48A1 appears regularly in company and clan fights. Its main trump card is the largest overview in the game (420 m). Also, "SuperPatton" produces excellent PDM per minute and has good UVN. In WoT, the M48A1 can act as a support tank and passive reconnaissance aircraft.
Best in game uvn
The largest PDM among "classmates"
The biggest review in the game
The mask is almost impenetrable gun
Minuses
The smallest speed among ST 10 level
Long repair of modules
Commander's Huge Tower
Crew and additional skills
A distinctive feature of M48A1 World of Tanks is the style of the game, we are more playing on the second line in the role of support. "Repair" - the first thing to be pumped. The only exception is the commander, it makes sense to pump the "Sixth Sense". The second skill is pumped over to the Commander "Eagle Eye", Driver "Smooth running", Gunner "Smooth turn of the tower" and Charging (he is Radio Operator) Radio interception. Third perk is to pump BB.
Additional module Patton III
The choice according to the modules is also determined by the style of the game, and therefore must be determined immediately, either we will CUT and destroy everything in our path, or we will shoot the enemies from safe distances.
For tactics "Sniper" - the rammer, the stabilizer of vertical aiming and Optics. Such a set of modules will help us shoot from the maximum distance, while remaining invisible to the enemy.
To play on the front line, we will need to squeeze the maximum performance out of our car. A set of rammer, vertical stabilizer and ventilation allow you to apply the maximum PDM per minute, which is the main thing in melee combat.
Tactics of the game on Patton III
Here you should remember a few rules:
We always try to keep a little behind the main forces of the allies, even on the front line we hide behind the "thicker" players.
Remember that even though you are a ST, your maximum speed is too low and moving around in the open area will attract the attention of the arts.
World of Tanks The tank M48A1 has an excellent gun mask, use irregularities and cover, hide your body
Although you have a large overview of the game in the game, your huge size will deceive you before you see the enemy
Now consider the methods of struggle against the main enemies
T62A - Keep it always at a distance, in the melee "Scoop" will twist you, he has a very fast-firing gun, knocking you down the rink, he will not give you the opportunity to snap and "disassemble" you by bolts.
Batchat - At long distances, play "swing", constantly drive back and forth, the batchata has terrible accuracy, at close range beat it to the rink, and then disassemble
E-50M - quickly reduce the distance, at a large and medium distance often do not break through, in close combat, just shoot it at the PDM
PT-SAU - it's silly to even think of shooting it in the forehead. Rapid convergence is not available to us, so we are looking for ways to bypass the PT and check it in the stern or side
TT - try to play the role of support, while the enemies butt with your allies, having weak armor, often we do not have time to implement all our PDM in duel fights with strands.
In general, the tank turned out good. Use your UVN, shooting from unexpected positions. PDM allows you to disassemble the enemy very quickly, which generally leaves positive emotions.
Patton III breakout zones
In general, we are the same cardboard as the French. But we still have strengths. We have just an excellent gun mask, at medium and long distances it does not even pierce our PT . Weaknesses are NLD, punching it, immediately the kink of the mechanic, so the first-aid kit is not superfluous, the tower has a weak base, and both the tower and the gun are criticized under the mask of the weapon. Fires on the tank are extremely rare, so it makes no sense to carry a fire extinguisher. Try to hide the body, even the frontal armor does not hold a punch. At short distances, cover your commander's turret with a weapon, it has enormous dimensions and strongly "magnetically" the shells of enemies.
world of tanks m48a1 Patton III
See also guides for other tanks:
M48A1 Patton II
T1 Heavy Tank
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Nesheim's can remove most any stain. Armed with an arsenal of the industry's finest stain-removal products and tools, we can remove, or minimize all types of stains.
Your best chance for removing a stain is to get to it as quickly as possible after the spot is made. The longer a spot sits on the carpet or upholstery the harder it becomes to remove.
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Blot liquids with an absorbent, white, dry cloth or white paper towels that does not include any printing.
Do not scrub the area: Scrubbing the affected area may cause pile distortion to the location. Continue to use paper towels or a dry cloth until the area is completely dry. For semi-solid spills, gently scrape up what you can with a rounded spoon. Solid spills should be broken up and vacuumed until completely removed. If the spot can be identified, locate the substance in the spot removal computer and follow the directions carefully.
Pretest any spot removal agent in an inconspicuous area to be certain that the solution will not damage the carpet fiber or the dye. After applying several drops to the testing area, hold down a dry, white cloth onto the wet area for several seconds. Then examine the carpet and cloth for any color change, color transfer, or damage to the carpet. If you notice that a change does occur, then another cleaning solution should be selected.
Apply a small amount of the selected cleaning solution to a dry, white cloth and gently work it in.
Work from the edges of the spill to the center to prevent the spill from spreading. Do not scrub the area! Blot to absorb as much of the stain as possible, and repeat if necessary.
Continue using the first cleaning solution as long as there is a transfer of the spill to the cloth. It is not necessary to use all of the cleaning solutions if the first solution successfully removes the spill.
Be patient: Completely removing the spill may require repeating the same step several times. Do not continue to step 9 until the stain has been completely removed.
Rinse the affected area thoroughly with cold water, and blot with a dry cloth until all of the solution has been removed. Some cleaning solutions will cause rapid soiling if the solution is not completely removed.
Apply a one-half inch layer of white paper towels to the affected area, and weigh down with a flat, heavy object. Continue to change the paper towels as needed. A dry, absorbent, cleaning compound may be used as a substitute to accelerate drying time.


text:
CREATE TABLE IF NOT EXISTS `routes` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `route` varchar(128) NOT NULL,
  `link` varchar(150) DEFAULT NULL,
  `params` text,
  `status` tinyint(1) NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `route` (`route`)
) ENGINE=InnoDB  DEFAULT CHARSET=utf8;

redpajama_set_name: RedPajamaGithub


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It is time for DFIs to adopt an alternative approach to financial inclusion that prioritizes needed market changes. A shift to a market systems approach addresses this need and requires that DFIs carefully analyze each market to determine the key gaps, underlying causes, critical actors, and theory of change for bringing about sustainable market development.
This report examines how smallholder families in Tanzania manage their income and expenses, along with the challenges they face that often lead to financial instability. These findings are based on a nationally representative survey of smallholder households conducted in 2015.
Over three-quarters of the population in Tanzania are involved in the agriculture sector. Yet despite their active financial and agricultural lives, smallholders in Tanzania have few tools to manage their irregular and volatile household cash flows.
While there has been renewed appreciation for how reaching smallholder households could drive financial inclusion, little is known about this unique, yet massive client group.