Turquoise waters, white sand beaches are just part of the allure at the idyllic Four Seasons Resort and Private Residences Anguilla.
Owners belong to the exciting Four Seasons family worldwide, live in boldly beautiful Kelly Wearstler-designed environments, and feel at home in a friendly island community unique in the Caribbean.
The community is composed of glamorous Caribbean-inspired homes ranging from one-bedroom deluxe studios to five-bedroom beachfront villas, all with unobstructed views of the ocean or direct access to beach and water.
Residents enjoy access to all resort amenities such as bars, outdoor lounges and restaurants, spa, pool and watersport activities.
On the market now is the luxury resort's beachfront villa 4. Offered at $10 million, the home is situated on two levels and features a total of five bedrooms, five bathrooms and a total of 9,500 square feet.
A few outstanding features include private beach access, custom-designed Kelly Wearstler furnishings, and accessories, an infinity pool, as well as an outdoor shower and oceanfront terrace with views overlooking the secluded Barnes Bay Beach.
Encircled by sugar-sand beaches and clear turquoise sea, the Four Seasons Residences are located along the northwestern shore offering 3,200 feet of pristine beachfront and sweeping views of the breaking surf.


Born in London, Angie Horder works as a printmaker (notably etching), painter, illustrator and designer. Whilst studying for a postgraduate teaching degree, Angie worked for 'Vougue' and 'Brides' magazine paublications. Prior to this, Angie studied printmaking at Kingston School of Art. Before raising her family, Angie spent a time in Switzerland working in Locarno as an etcher for the artist Francois Lafranca producing work for Marlborough Fine Art.


The Sheriff of Hull, Baroness Bottomley, has urged generous support for a project to place Hull's historic Holy Trinity Church at the heart of the city's exciting future.
Baroness Bottomley made the call as she hosted a reception at the Houses of Parliament for supporters and potential funders of the £4.5m development project for 700-year-old Holy Trinity.
As the Sheriff of Hull, the former Government minister is a high-profile ambassador for the city, with her work dovetailing with that of the High Steward of Hull, Lord Mandelson.
Baroness Bottomley, who is also Chancellor of the University of Hull, said Holy Trinity – England's largest parish church and Hull's finest grade one listed building – was a magnificent symbol of "continuity and stability" in the heart of the Old Town.
She added: "Holy Trinity is the oldest building in Hull and it's a magnificent place. With investment it can re-establish itself as the heart of the community – welcoming the poor, the vulnerable and the needy, being a creative, cultural centre and, centrally, a wonderful place of worship.
Baroness Bottomley reminded guests at the reception of Winston Churchill's famous statement that "you make a living by what you earn, but you make a life by what you give".
The Vicar of Holy Trinity, the Reverend Canon Dr Neal Barnes, told the reception the transformation of Holy Trinity was re-connecting the church with its medieval roots as a meeting place, as well as a place of worship.
He said: "Our vision for Holy Trinity is for it to be a place for the city and at the heart of our community. A place for people to come to for worship, to explore it and enjoy it and to be part of a community where anybody can belong.
Dr Barnes added: "I want to thank the city for it's a goodwill to us. We have had so much support from the city council, businesses, voluntary organisations and so many others, from people of faith and not of faith, but of goodwill.
Work is well advanced on Holy Trinity's £4.5m development project, with around 60% of the target raised so far.
The project will enable the church to replace outdated and inadequate facilities, become much more accessible to the community and host a wider range of cultural and social events. It will also create new income streams to secure a long-term sustainable future for the church as a spectacular, vibrant and welcoming place of worship and community use.
Holy Trinity Development Trust Chair John Robinson told the event what was happening in Hull and especially at Holy Trinity was truly amazing in revitalising the city and raising aspirations.
"We are taking Holy Trinity back to what it was in the first place. Historically, it wasn't a formal place – the Nave was the community centre. It was where people met," he said.
He urged wealthy individuals to pledge significant sums to deliver huge spiritual, community and social benefits.
The project is strongly supported by the Archbishop of York, Dr John Sentamu, and a message from him was conveyed to guests at the reception.
Dr Sentamu said: "Holy Trinity is doing great things to reach out to the local community and make the mission of the Church relevant to the daily lives of the people of Hull.
"The development project builds on that wonderful work and will ensure Holy Trinity remains fit for purpose as a magnificent place of worship and a welcoming, supportive home for everyone in the heart of the city.
The development project includes works currently under way to unite the grounds of the church with the redeveloped Trinity Square, which is one of the key areas being renovated under the multi-million pounds transformation of the public realm in Hull city centre. This will create a wonderful new piazza setting which will become a showpiece events venue and gathering place during Hull's year as UK City of Culture in 2017.


This year was the 140th anniversary of the arrival of Dr. Bälz in Japan. He was a key medical doctor who helped usher in modern western medicine and laid the foundations for a medical education system in Japan, all those years ago.
And the 22nd of November, 1901, was the day a grand party was held to commemorate his 25th year in Japan.
Bälz makes reference to this special event in his diary (in Japanese), along with a poignant and important message (in Japanese) that is referenced even to this day.
Coincidentally, the Igakukai Shimbun, a weekly that is widely read by medical doctors and students in Japan, had an interesting article in its edition for the 21st of November (exactly 115th year of his speech). It was a conversation (in Japanese, pdf version) between Dr Ryozo Nagai, President of Jichi Medical University and an expert on Dr. Bälz; Dr Moritz Bälz, the great-grandson of Bälz's younger brother, and myself. I say coincidental, because the concept of this conversation had been thought of nearly a year ago, and things started falling in place around spring, making it difficult to gauge when we would actually be finished. This makes it all the more special that it just happened to be on this day.
I would really like people who are involved in medicine, whether it be clinical medicine, general practitioners, medical researchers, or people involved in the wider sense of the term like care-givers and of course, aspiring medical students, to read this article. I have put it up here so that people can read it and reach me with any comments. I await!
Life is truly filled with inexplicable coincidences, such as my meeting with Mr. Bälz, or the date of publication of this article.


Perform in front of thousands!
Dance The World invites you to discover the happiest place on earth with your dance family. Grab your ruby shoes and discover the magic of Disney as you perform down Main Street U.S.A. at the Magic Kingdom Park. This once-in-a-lifetime trip is also the perfect family vacation, with fun activities everyone will enjoy!
Dazzle under the bright lights of Times Square while performing in front of thousands at Dance the World Broadway. Students will perform on a professional theatre stage, learn how to become a triple threat and chat with cast members of hit Broadway musicals after seeing the show. This once-in-a-lifetime experience will introduce your students to the city that never sleeps.
Learn from top industry professionals!
Grab your sunglasses and marvel at the palm trees as you drive through sunny Los Angeles. Learn what it takes to be a commercial dancer from an experienced choreographer, take a drop-in class at the famed Millennium Dance Complex and create a dance video for your personal reel with industry professionals! The tour will also get you and your students up close and personal with Hollywood sights with trips to Rodeo Drive, the Fashion District and the Hollywood Walk of Fame.
Experience the bright lights of Times Square, attend a Broadway show and see behind the curtain at Radio City Music Hall. Customize a tour to New York City with your dancers to learn from distinguished professionals at Alvin Ailey, see what it's like to attend the iconic school Julliard and attend a workshop with one of the Rockette's to perfect your high kick. This trip will expose your dancers to the life of a professional and train them to become a triple threat.


In one of the nation's fastest-growing cities, there is a massive unmet need – construction companies can't find enough skilled trade professionals to fill the demand. And yet, Charlotte also struggles with economic mobility, ranking last among the 50 largest cities in the nation, according to a Harvard/UC Berkley study.
A 2016 survey by the North Carolina Department of Commerce found more than half of construction companies in the state had hiring difficulties – more than any other industry. The number one cause reported for their hiring trouble was a lack of candidates with technical skills. Meanwhile, demand continues to grow for these positions with an expected 20 percent increase in available construction positions in North Carolina by 2024 – that's almost 37,000 jobs. Nearly half of these job openings are due to current construction employees ageing out of the workforce.
That's why four educational organizations in Charlotte have joined together to establish the Goodwill Construction Skills Training Center. Inside the facility on May 30, Goodwill Industries of the Southern Piedmont, Charlotte-Mecklenburg Schools (CMS), Central Piedmont Community College (CPCC), and The ROC (Rebuilding Opportunities in Construction), announced they will soon work together under one roof to train and certify high school students and adults for in-demand trade skills employers are desperately seeking, free of charge.
The Goodwill Construction Skills Training Center is scheduled to open its doors in January 2019 in a facility that formerly served as a warehouse for Goodwill's retail operations. The existing 15,000 square foot building located directly across from Phillip O. Berry Academy of Technology at 1335 Allegheny Street will require $2.5 million for renovation, upfit and equipment. On Wednesday, the project received an initial $500,000 investment from Christ Episcopal Church to begin the project. By December 2018, it will become a state-of-the-art training facility with laboratory bays filled with industry-specific equipment, allowing for hands-on training. There will also be "smart" classroom space for additional instruction.
"Christ Church wanted to take a pioneer role in our community toward workforce development by providing a $500,000 lead gift. We are grateful for the opportunity to help provide a new vocational pathway that has not been available for Charlotte's high school students in over 30 years. We value the emphasis on building direct relationships with employer mentors, and appreciate the importance of paid apprenticeships to address inequities in economic mobility," said The Reverend Chip Edens, Rector of Christ Episcopal Church.
Students will complete foundational training before selecting a specialized program of study, which may include: construction, field supervision, concrete/masonry, apartment maintenance, advanced carpentry, computer aided drafting & design, HVAC and electrical.
High school students will complete career and technical education coursework through The ROC during the daytime hours, with adult training through Goodwill taking place in the evening. CPCC will provide all teacher instruction services via the Career & College Promise program utilizing industry-leading curriculums. Once their training programs are complete, both youth and adult students can choose to enter the workforce, apply for an apprenticeship, or transfer between 41 and 53 credit hours toward an associate's degree at CPCC depending upon their area of concentration. By 2020, the Goodwill Construction Skills Training Center will serve approximately 120 youth and 400 adults each year.
CMS students will have the opportunity to participate in exploration and career readiness, as well as complete paid internships in the summer before selecting a concentration. Ongoing basic needs fulfillment, career planning, resume development and job search support are embedded in the adult programs through Goodwill.
The good news for future graduates, aside from being in-demand, is that a survey by the Association of General Contractors reported 60 percent of firms in the U.S. increased their base pay rates to attract and retain workers, a trend that is expected to continue.


Lyrics to "Lullaby" song by Ron Pope: She left town on a 3 o'clock train, Goin' God knows where far away, And the last words she spoke t. Lullaby Lyrics: She left town on a 3 o'clock train / Goin' God knows where far away / And the last words she spoke to me's / "I'll be all right." / She grew up in a. Lyrics to Lullaby by Ron Pope: She left town on a 3 o'clock train, / Goin' God knows where far away, / And the last words she spoke to.
She left town on a 3 o'clock train, / Goin' God knows where far away, / And the last words she spoke to me's, / "I'll be all right." / She grew up in a sad dark place. Lullaby Songtext von Ron Pope mit Lyrics, deutscher Übersetzung, Musik-Videos und Liedtexten kostenlos auf polozoyafotografia.com 16 Feb She left town on a 3 o'clock train Going God knows where, far away And the last words she spoke to me's.
Intro: G D Am C G She left town on a 3 o'clock train, D Goin' God knows where far away, Am And the last words she spoke to me, C is "I'll be all right." G She. She left town on a 3 o'clock train, Going god knows where far away, And the last words she spoke to me's, "i'll be all right". She grew up in a sad dark place. Ron Pope - Lullaby (Letras y canción para escuchar) - She left town on a 3 o' clock train / Going god knows where far away / And the last words she spoke to . Lullaby This song is by Ron Pope and appears on the album The New England Sessions (). Full and accurate LYRICS for "Lullaby" from "Ron Pope": Goodnight goodnight goodnight goodnight, Oh goodnight and this is her lullaby, Goodnight goodnight.
Lullaby tab (version 1) by Ron Pope at polozoyafotografia.com Ron Pope; Lullaby She left town on a 3 o'clock train, Goin' God knows where far away, And the last words she spoke to me's, 'I'll be all right.' She grew up in a. Ron Pope lyrics:: Song lyrics for Lullaby. She left town on a 3 o'clock train, Goin' God knows where far away, And the last words she spoke to me's. Lullaby lyrics by Ron Pope: She left town on a 3 o'clock train, / Goin' God knows where far away, / And the last words she spoke to.


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La Montagne Sainte-Victoire vue du bosquet du Château Noir is a 1904 oil on canvas landscape painting by the French artist Paul Cézanne. The ostensible subject is the painter's familiar Montagne Sainte-Victoire and it is part of a series the artist did of the promontory between 1904 and 1906.

In 2014 the work was sold by the Edsel and Eleanor Ford House in Grosse Pointe Shores, Michigan for $100 million dollars $US in a private sale to the State of Qatar.

See also
List of paintings by Paul Cézanne
List of most expensive paintings

References

1904 paintings
Paintings by Paul Cézanne
Landscape paintings

redpajama_set_name: RedPajamaWikipedia


9B. (1) In computing the profits and gains of the business of distribution of feature films carried on by a person (the person carrying on such business hereafter in this rule referred to as film distributor), the deduction in respect of the cost of acquisition of a feature film shall be allowed in accordance with sub-rule (2) to sub-rule (4).
(ii) the expenditure incurred by him in connection with the advertisement of the film.
and the film is released for exhibition on a commercial basis at least 46[ninety] days before the end of such previous year, the entire cost of acquisition of the film shall be allowed as a deduction in computing the profits and gains of such previous year.
and the film is not released for exhibition on a commercial basis at least 46[ninety] days before the end of such previous year, the cost of acquisition of the film in so far as it does not exceed the amount realised by the film distributor by exhibiting the film on a commercial basis or the amount for which the rights of exhibition have been sold or, as the case may be, the aggregate of the amounts realised by the film distributor by exhibiting the film and by the sale of the rights of exhibition, shall be allowed as a deduction in computing the profits and gains of such previous year; and the balance, if any, shall be carried forward to the next following previous year and allowed as a deduction in that year.
(4) Where during the previous year in which a feature film is acquired by the film distributor, he does not himself exhibit the film on a commercial basis or does not sell the rights of exhibition of the film, no deduction shall be allowed in respect of the cost of acquisition of the film in computing the profits and gains of such previous year; and the entire cost of acquisition shall be carried forward to the next following previous year and allowed as a deduction in that year.
(b) in a case where the film distributor has transferred the rights of exhibition of the feature film on a minimum guarantee basis, the minimum amount guaranteed and the amount, if any, received or due in excess of the guaranteed amount, or where the film distributor follows cash system of accounting, the amount received towards the minimum guarantee and the amount, if any, received in excess of the guaranteed amount, are credited in the books of account maintained by him in respect of the year in which the deduction is admissible.


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Subscribe to my monthly newsletter and receive a free copy of Chasing The Blues. This short novella is a prequel to my Wes Darling novels and is exclusively available to subscribers. You will also receive updates about my upcoming books, and recommendations of books I've enjoyed.
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Check out Mike's books
Sun, cocktails, and beautiful women.
That's what Wes Darling is looking for when he moves onto a sailboat in Key West. How could he know that the women would be crazy, the sun intolerable, and the cocktails...well he wasn't drinking them, he was serving them at a local bar.
Then there's the trouble that follows him wherever he goes, forcing him to turn to the one person he's trying to avoid.
His chain-smoking stressed-out mother.
If you love a fast-paced mystery with a snarkish attitude, this is it.
Amazon au
Sometimes they play with your mind. Sometimes they kill.
Who do you turn to when the person you trust more than anything lets you down?
What if the authorities think you're crazy? Maybe you are, but do you deserve to die for that?
This psychological thriller about twisted love will leave you wondering if it could happen to you.
There's no doubt about it, Wes Darling is a trouble magnet.
When he sails into Mobile's Dog River, all he wants is to find the father he never knew.
Instead, he tangles with a sexy brunette who's determined to teach him the meaning of kissin' cousin, a three-hundred-pound redneck looking to rumble, and an ex-spy who thinks murder is a justifiable means of support.
But they were just the start of his problems...
If you're looking for a fast-paced mystery that will throw an occasional chuckle your way, Dog River Blues is for you.
Grab your copy today.
Book 1 - Key Lime Blues: A friend's murder forces Wes to turn to the one person he's trying to avoid for help. His chain-smoking stressed-out mother.
Book 2 - Dog River Blues: While visiting Mobile, Alabama in search of his father, Wes tangles with a sexy brunette who's determined to teach him the meaning of kissin' cousin, a three-hundred-pound redneck ready to rumble, and an ex-spy who thinks murder is a justifiable means of support. And they're just the start of his problems...
Book 3 - Stranded Naked Blues: Wes tackles dangerous women and dead bodies as he tries to help an old friend's daughter in her quest for buried treasure in the Bahamas. What does he get for his troubles? He's stranded on a deserted island waiting for a hurricane to strike...
A beautiful woman in a skimpy bikini drugs Wes Darling and tears apart his boat. Why?
Wes tackles dangerous women and killers as he tries to help an old friend's daughter in her quest for buried treasure.
What does he get for his troubles?
He's stranded on a deserted island with two dead bodies for company, while he waits for a hurricane to strike...
You don't want to miss this fast-moving thriller set among the islands and teal blue waters of the Bahamas.
The Storm Killer: Bogie and Bacall would have loved this guy.
When newspaper reporter Jim Locke's sister is murdered he doesn't wait for the cops. He goes after the killer, determined that nothing will stop him.
Not the dirty cops. Not the killer himself. Not even a murderous hurricane.
You'll love this story as it whisks you from the gritty bars of post-prohibition New York City to the laid-back streets of old Key West.
Mind Demons: Who do you turn to when the person you trust more than anything lets you down?
Is he really the world's worst detective?
Ask his wife. She had to come back from the dead to convince him she was murdered. Oh, and she brought along the ghost of her mother.
What was she thinking? Artie didn't get along with his mother-in-law when she was alive...why would it be any different now?
If you like a great mystery and don't mind a couple of ghosts mucking things up, grab this book today. You won't regret it.
Bogie and Bacall would have loved this guy.
Disclaimer: Mike Jastrzebski is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.
About Mike Jastrzebski
In 2003 my wife, Mary, and I moved aboard our 36-foot sailboat, Rough Draft. We brought the boat down the inland river system from Minnesota to Mobile, Alabama where we lived for two years docked at a small marina, the setting for Dog River Blues.
After rescuing and repairing our boat from Hurricane Katrina, we then sailed to Florida where we spent three months living at a mooring in Key West. From there we cruised up the east coast to Ft. Lauderdale where we lived on the boat and I wrote for six years.
We hoisted the sails once again in the spring of 2012, traversed the Gulf Stream, and explored the Abaco Islands until hurricane season sent us back to Florida. We spent hurricane season in Cape Canaveral, and then in January of 2013 we sailed back to the Bahamas where we lived at anchor for three months basking in the sun, fighting the elements, and writing.
On this most recent trip I completed the first draft of Stranded Naked Blues, the third book in my Wes Darling Mystery series, which is set in the Bahamas and is now available. My other books include Key Lime Blues and Dog River Blues, my two Wes Darling Mysteries, and my historical thriller, The Storm Killer. My psychological thriller, Mind Demons, was written before we moved aboard Rough Draft.
To contact Mike fill in the following form:
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redpajama_set_name: RedPajamaCommonCrawl


Abstract We present molecular dynamics calculations of a h-BN nanoribbon designed for vibrational energy harvesting. We calculate the piezoelectric voltage generated at the ends of the device as a function of time and for different levels of an external compressive strain. Through the full atomistic description of the nanoribbon dynamics we demonstrate that driving the system into a non-linear dynamical regime greatly increases its harvesting efficiency. A comparative analysis of the piezo-voltage dependence on the compressive strain, obtained from a previously reported description of the nanoribbon dynamics and from the more accurate molecular dynamics, reveals that the method here presented gives a more precise description of the effect of in-plane vibration of the atoms on the harvesting performance of the device.


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Awhiowhio är ett släkte av svampdjur. Awhiowhio ingår i familjen Corallistidae.

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Drinking has been a favorite pastime of many people over the years. Not everyone can be a social drinker, however. Some people cannot limit their drinking to one or two drinks. They may try, but more often than not, they drink far more than they really wanted and could become alcoholics who struggle with the stages of alcoholism.
It may not be simple to diagnose alcoholism, but there are general signs that someone could be struggling with the disease. Also, the path to alcoholism and the stages of alcoholism are usually progressive, getting worse and worse over time. Whereas moderate drinking used to be the norm, it may progress to heavy drinking day after day, causing multiple issues.
Substance abuse professionals assert that there are five stages of alcohol abuse. Learning the common signs of each of the stages of alcoholism may be helpful to determine if you are traveling the path toward alcoholism.
Binge drinking, or drinking a substantial amount of alcohol in a short amount of time, is generally believed to be the first stage of the stages of alcoholism. Binge drinking often occurs when people start experimenting with drinking. They may not know how much they can tolerate and drink so much that they become extremely drunk and may even pass out (lose consciousness).
For drinking to be considered binge drinking, a male would consume five or more drinks within the space of two hours. A female, meanwhile, would consume four or more within two hours. Teenagers and young adults make up a large percentage of the binge drinking crowd. While many of them end their binge drinking behaviors as they grow older, some of them will progress to later stages of alcoholism.
The second of the stages of alcoholism involves drinking more often over time. Whereas maybe you only drank a couple of weekends out of the month previously, over time you may find yourself drinking every weekend. Or, if you drank one night a week, you may find yourself drinking three or four nights a week. You may have only drank at social events, but now you have plenty of excuses to drink: to relieve boredom, reduce stress, calm nerves, numb emotional pain, and other reasons.
In this stage, your tolerance will increase too. Whereas maybe two beers used to give you a good buzz, now it might take you four or five to find the same feeling.
As you progress through the stages of alcoholism, there is a good chance that you will begin to experience problems. Maybe you will miss work because you are too hungover to go. Or, maybe your partner will break up with you because you would rather party than spend time together. In this stage of alcoholism, you still may not realize that you are becoming dependent on alcohol or have already become dependent on it. Even experiencing some problems may not be enough to really see your problems and admit that they exist.
It is in stage four of the stages of alcoholism where many people begin to realize that they have become dependent on alcohol. Maybe they try to cut down on drinking or stop completely and find that they cannot. Maybe they cannot endure the withdrawal symptoms they face when they are not drinking or just do not know how to cope with life when they are sober.
During the alcohol dependent stage of alcoholism, your mind and body become firmly attached to alcohol. The thought of quitting it might even feel as if you are giving up a good friend. You may feel sad about it or may wonder if you will ever be able to let it go for good. In fact, you may be experiencing a lot of thoughts and feelings during this stage. You may not be sure how to address your struggles with the stages of alcoholism.
The last of the stages of alcoholism is full-blown addiction to alcohol. In this brutal stage, your body has become quite dependent on alcohol. In fact, it needs it. If you try to give it up, your brain lets you know in a hurry that it is not happy.
This is a grueling stage, and many alcoholics are afraid to reach out for help when they reach this stage. They may feel ashamed as they progress through the stages of alcoholism. They may feel as if they are failures and may have no idea what to do. Chances are, their family members have already noticed their alcoholic tendencies and may have had multiple talks with them, but still, they may be resistant to reach out for help.
There is treatment available for alcoholism, no matter what stage you may be in. If you see yourself in one of the stages of alcoholism, consider getting some help to quit drinking. Even if you have tried on your own to no avail, help is available.
You do not have to feel ashamed and you do not have to struggle any longer. Whether you attend an alcohol rehab center, meetings of a 12-step recovery group such as Alcoholics Anonymous, or sessions with a therapist, just know that you have choices.
You can treat an addiction to alcohol with hard work and professional help. Please consider seeking alcohol treatment by making a call to speak with a professional.


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The Bongo II coffee table is shown in Bolivar thunder. The inset top, inlaid banding and plinth are in Pewter bird's eye maple.
An infinite variety of combinations are possible using our many finishes veneers. As our other pieces, this table is available in bespoke dimensions and is hand-made in the UK by our skilled craftsmen.


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Sultans Of Swing
Howell Council Postpones Decision On Former Gas Station
Dangerous building proceedings have been initiated by the City of Howell against the property owner of a former gas station viewed as an eyesore.
The City has been increasing efforts to deal with overall blight and address properties not up to code. The City has fielded countless questions and complaints about the property at 401 East Grand River, the site of a former Citgo gas station. The owner, Fadi Kajy, had obtained all of the necessary approvals to re-open a gas station on the site in 2016 but nothing ever came to fruition and the site has sat vacant since. Staff has been in contact with the Kajy multiple times about the condition of the property but most recently last summer. Nothing has been done to secure the building, causing it to deteriorate further. The City issued tickets for trash piling up on the property and lack of maintenance but it was noted during the meeting that conditions didn't rise to the dangerous building enforcement level until October. That's when the front windows and door were broken out, prompting the City to board up the building. The City has declared the building unsafe and was prepared to proceed with demolition but the owner's attorney finally re-submitted plans last week to re-open a gas station on the site. Staff estimated the owner could get through the approval and building permit process to - in theory - be under construction in April or May.
The City Council met Monday night and reluctantly approved a motion to postpone dangerous building proceedings until January 28th to see if the owner actually moves forward with anything. If not, the City will follow through with demolition. City Manager Shea Charles tells WHMI Council approved the deferment and staff will report back at that time on where they are in the process and see where it goes. He noted the City verified with the state that the owner still has the ability to re-open that facility, although testing will need to be done in regard to storage tanks.
Council members were hesitant to grant the two-month postponement; given the condition of the building and site and the fact the owner hasn't done anything in two years. Councilwoman Jan Lobur felt the City has already given the owner too much leeway going on two years now, and others agreed. Mayor Pro-Tem Steve Manor predicted that nothing will happen and they'll have to initiate demolition proceedings anyway but commented that the two months will give the owner time to get things in motion. Prior to approval, Mayor Nick Proctor questioned why they should give the owner more time based on history -saying he didn't see a reason to have any optimism that if they approved the postponement that they would actually see anything through next summer. Proctor said he doesn't think they'll see a damn thing and doesn't any hope based on staff reports so he wants to put pressure on it. Proctor said he assumed that even if the postponement wasn't approved that the City wouldn't do any demolition until spring anyway, which would give the owner time and added incentive to do something over the winter or the city "will tear the darn thing down." Top picture courtesy of Google Street View. (JM)
Whitmer Delivers 5th State Of The State Address


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Home » Lego » LEGO Systems Unveils 250 New Building Sets at American International Toy Fair
LEGO Systems Unveils 250 New Building Sets at American International Toy Fair
American International Toy Fair -- LEGO Systems, Inc., makers of the world's leading construction toys, will unveil its largest collection of build and play toys ever–250 new products–at the American International Toy Fair in New York City. With new products launching throughout the year, children of all ages and interests will find a LEGO® building set or theme to spark their building creativity, inspire storytelling and role play or keep them engaged in imaginative play for hours. New items are on display in Booth #1351 in Hall 3B of the Jacob K. Javits Convention Center from February 10-13.
"We know that both children and parents love the interactive fun and play value that LEGO play offers, and our new collection of versatile and innovative products delivers countless hours of building possibilities to fans of all ages," said Soren Torp Laursen , president, LEGO Systems. "With new kits focused on open-ended creative building, new themes and exciting licenses that appeal to boys and girls, the continuation of some of the most successful LEGO lines, new preschool building sets, family board games, buildable action figures, and the next generation of our robotics platform, we have a LEGO offering for every age, any interest, current trend, shopping occasion and play need, and across the board, we're raising the bar for children's expectations of toys."
Preschool Building (Ages 1½+)
LEGO DUPLO® introduces youngsters to construction play by inspiring them to be creative and tell stories as they build. New sets cater to even younger children, such as a Toddler Build and Play Cubes ($12.99) and Toddler Build and Pull Along ($14.99) which both offer larger, colorful cubes and elements that are easier for smaller hands. Two additions to the Read and Build ($12.99 each) series blend early reading with construction play. A collection of " My First " DUPLO sets – My First Garden ($12.99), My First Construction Set ($19.99), My First Circus ($34.99) and My First Train Set ($44.99) – combine creative building and imaginative role play. New licenses include LEGO DUPLO brand Jake and the Neverland Pirates™ and LEGO DUPLO brand Disney® Planes™ that bring beloved characters and stories from top preschool properties ($14.99 - $39.99).
Classic LEGO Building (Ages 4+)
Open-ended LEGO Bricks & More sets ($9.99-$24.99) provide endless building opportunities and offer a variety of LEGO bricks and elements to set imaginations in motion. New Pink Suitcase and Blue Suitcase ($24.99 each) offer a fun and practical storage option and enable on-the-go building fun. LEGO CREATOR™ kits ($6.99 - $69.99) offer three models in one box in themes such as vehicles, creatures, and buildings, enabling children to build, play, and then rebuild their creations. Experienced builders enjoy the challenge of LEGO Technic® sets, such as the Race Car ($19.99) and Excavator ($79.99), featuring detailed functionality that mimics their real world counterparts, and two building instructions so that children can create multiple models with one kit.
Robotics (Ages 10+)
LEGO MINDSTORMS pioneered a new way to build and play with LEGO bricks when it was first introduced in 1998. To commemorate the 15th anniversary, the world's original smart toy gets an upgrade in LEGO MINDSTORMS EV3 ($349.99), the most exciting and innovative LEGO robotics set ever. With the new platform, children can build, program and play with a starter robot in less than 20 minutes and can ease into the process with on-brick programming. Advanced users get tech upgrades, like a Linux operating system, that make sophisticated robot building and programming child's play. PC and Mac compatibility, plus integration with iOS and Android phones, MP3 players and tablets, take robot command and control to a whole new level.
LEGO Themes (Ages 5+)
One of the most popular themes of all time, LEGO CITY allows young builders to build and role play with the everyday heroes they know and love. Along with three new sets in the Transportation theme ($19.99 each), there is a Starter Set ($29.99) featuring a fire truck, ambulance, police motorcycle and corresponding minifigures. Fire and Police themes are both back with new models ($6.99-$99.99) and in August, builders can build and explore adventure with sets from the Cargo Airport ($19.99-$99.99) and Coast Guard ($6.99-$79.99).
Following one of the most successful launches in the company's global history, LEGO Friends furthers the story of five girls who live, work and play in Heartlake City. A new Collectible Animals series ($4.99 each) provides a trial building opportunity to construct a small habitat for each pet. A series of sets such as Stephanie's Soccer Practice ($9.99) and Emma's Karate Class ($9.99) let builders create and explore extracurricular activities and hobbies. Launching in time for back to school, children can build Heartlake High ($49.99), featuring classroom, art and music room, cafeteria and lockers. The Dolphin Cruiser ($69.99) yacht opens to reveal a luxury home inside and includes recreational sports equipment.
LEGO Legends of CHIMA™ is a new original property that combines the fun of building with role play, social competitive play and digital and video game play. Builders compete via heroic animal characters, such as a lion, gorilla or crocodile, to obtain the power of CHI. The collection includes new Speedorz™ challenges, featuring a flywheel vehicle, ripcord launcher and buildable obstacles and stunts, in sets such as the CHI Waterfall ($14.99) and Ice Tower ($14.99) for action-packed competitive play. There are also classic building sets like Cragger's Command Ship ($69.99) and The Lion CHI Temple ($119.99), six Buildable Action Figures ($14.99 each) and a new LEGO Legends of CHIMA board game ($19.99) which together create the entire fantasy play world of CHIMA. Digital games and an original television series will launch later in the year.
LEGO Galaxy Squad, a new space fantasy theme, allows builders 8 and up to role play as the hero team saves the galaxy from a swarm of alien insects. Each of the 10 models in the collection ($11.99-99.99) offers a split feature function, turning every large model into two separate vehicles with ease. The 25th anniversary of LEGO Castle is marked by five new sets, including Gold Getaway ($19.99) and King's Castle ($99.99), to build a classic kingdom of knights in shining armor, dragons and treasure for builders ages 5 and up. LEGO NINJAGO™, one of the most popular LEGO properties ever introduced centered on the story of four young Ninjas mastering the art of Spinjitzu, enters its third year with six new sets ($9.99-$69.99) that introduce the Gold Ninja. Fans of all ages will want to collect 48 never-before-seen LEGO Minifigures ($2.99 each) via three new series releasing throughout the year.
Licensed Building Fun (Ages 2+)
Action-packed adventures come to life in brick form with LEGO Teenage Mutant Ninja Turtles™. Young fans can build Leonardo, Donatello, Michelangelo and Raphael in a series of six sets ($12.99-$59.99) and recreate action-packed scenes from the hit Nickelodeon CG-animated television series.
Launching in April, five LEGO The Lone Ranger™ building sets inspired by the scenes and characters from the Walt Disney Pictures film premiering this July feature the masked hero, his horse, Silver, and companion, Tonto, in sets such as Stagecoach Escape ($29.99) and Constitution Train Chase ($99.99), for hours of building and role play fun.
LEGO DC UNIVERSE Super Heroes recreates famous comic heroes and villains. Available now, a collection of new BATMAN™ sets includes The Bat vs. Bane™ Tumbler Chase ($39.99). Three sets tied to the summer feature film, Man of Steel, will launch in May.
Two LEGO MARVEL Super Heroes sets are now available that feature Spider-Man™, including the Daily Bugle Showdown ($49.99). Three Iron Man 3 sets will launch in March, inspired by the forthcoming summer feature film.
Two epic themes first introduced to the LEGO world last year continue with a new collection of building sets based on The Lord of the Rings™ and The Hobbit™ characters and scenes. Four kits ($12.99-$99.99) based on The Lord of the Rings trilogy will launch in June. Details of building sets tied to The Hobbit: The DESOLATION OF SMAUG™ will be revealed later this year.
Perennially popular LEGO Star Wars™, inspired by the Star Wars film saga and the animated television series, Star Wars: The Clone Wars, features new favorites such as the Battle of Hoth™ ($49.99) and Rancor™ Pit ($59.99) available now, and AT-TE™ ($89.99) and Jabba's Sail Barge™ ($119.99) coming in August.
Buildable Action Figures (Ages 6+)
The LEGO HERO FACTORY is where heroes are designed, equipped and built to accomplish any mission that beams in from across the universe. Children can build articulated action figures ($9.99-$34.99) that coincide with an online game and a free mobile app that, in 2013, tell the story of a devious Brain Attack.
LEGO Games (Ages 6+)
Bringing families together through building and gaming fun, the LEGO Games collection of board games adds a family game, Story Mixer ($29.99), that encourages hours of family fun through silly storytelling inspired by mini LEGO creations. A LEGO Legends of CHIMA game allows children to build and play with the property in a gaming format. Two new licensed games include BATMAN ($29.99) and The Lord of the Rings: The Battle of Helm's Deep ($34.99) allowing fans of all ages to compete as their favorite characters from both iconic properties.
About LEGO Systems, Inc.
LEGO Systems, Inc. is the North American division of The LEGO Group, a privately-held, family-owned company based in Billund, Denmark, one of the world's leading manufacturers of creatively educational play materials for children. The company is committed to the development of children's creative and imaginative abilities, and its employees are guided by the motto adopted in the 1930s by founder Ole Kirk Christiansen : "Only the best is good enough." Visit the virtual LEGO world at www.LEGO.com
More: Lego / Building Toy / LEGO / Toy Fair / Toy Fair 2013 /
Posted 8 February, 2013 - 23:01 by JoshB


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Q: Tools to create EAR files I am new to EJB, I would like to know a tool to configure my EJB and create EAR files.
I know, using Eclipse and Netbeans it is possible, instead I want to use some standalone tools to create EAR files.
Please provide some link or documentation to do this step by step.
Thanks in advance.

A: Maven has plugins that will create EAR files for you.
http://maven.apache.org/plugins/maven-ear-plugin/

redpajama_set_name: RedPajamaStackExchange


It pities that numerous people will feel that they have no business looking for a way for the marriage to work when they face some problems in the marriage. However, you have to keep in mind that divorce is expensive not to mention the psychological torture it brings the partners and their families. It implies that you should ensure that marriage separation will come last after you have tried to resolve the issues with the family without success. It is possible to fight the problems facing the marriage and prevent others in the future when you decide to work with a marital therapist and hence it is the way to go after marriage conflicts. With the multiple counselors in the market, you might have some issues when it comes to knowing the perfect one for the task. Whether you are in Indianapolis, Denver, or even Ohio and are looking for a marriage counselor, you should consider working with Naya Clinics who provide quality services. Content of this item will cover what you should do when you want to pick the most appropriate marriage counselor.
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\section{Introduction}

Nuclei are the fundamental organizational unit of life. Accurate assessment of these nuclei in histopathology slides provides critical morphological information necessary for the quantitative analysis of multiple diseases. In the last decade, Convolutional Neural Network-based approaches have emerged as a promising solution in medical imaging tasks, and nuclei segmentation tasks \cite{graham2019hover, ronneberger2015u}. However, they require a large amount of annotated data for any reliable training.
Moreover, even with a large dataset, models are prone to be poor at generalizing learned knowledge from one cancer type to another. Pixel-level image annotations by a medical expert are required to expand to a new cancer type, making it difficult, expensive, and a time-consuming task. Therefore, there is a need for methods that can transfer learned information from existing cancer datasets to other domains without additional annotations. We tackle this problem, characterized as Unsupervised domain adaptation (UDA), to close the gap between the annotated source domain and unlabeled target domain by learning domain-invariant and task-relevant features.

It has been observed that trivially training a model on the source domain and evaluating on a target domain leads to sub-par performance owing to domain shift \cite{guan2021domain}. Moreover, the domain shift problem is widespread in medical image datasets due to different scanners, scanning protocols, and tissue types, among others. Hence, multiple strategies comprising of adversarial learning, pseudo-labeling, consistency regularization, or data-augmentation have been proposed to tackle this limitation \cite{guan2021domain}. Among these, self-training has emerged as a competitive approach. Various de-noising strategies such as confidence thresholding, uncertainty estimation, or distance penalty between domains have been proposed. These strategies have led to gains, but they all rely on unlabeled data points closer to labeled data points for pseudo-label training since those are the points with high confidence and attempts to push the target distribution closer to the source. However, forcing the target-domain distribution towards the source-domain distribution can destroy the latent structural patterns of the target domain, leading to a drop in performance. We hypothesize that instead of using these approaches, using an information-theoretic distance can lead to better alignment between the domains.

Contrastive learning (CL) has seen wide success in representation learning with applications ranging from unsupervised pre-training to multi-modal alignment \cite{shrivastava2021clip}. The basic idea of CL is to push together the latent distribution of similar samples and push away the latent distribution of dissimilar samples.
Wang et al. \cite{wang2021exploring} adopted a supervised, pixel-wise contrastive learning algorithm and treated pixels belonging to the same class as positive pairs and pixels from dissimilar classes as negative pairs, observing significant gains in semantic segmentation performance. We take inspiration from their work and expand the idea of contrasting similar class pixels against dissimilar class pixels for UDA.

In summary, our paper makes the following contributions:
1) We propose a simple Jensen-Shannon Divergence-based contrastive loss for UDA in nuclei semantic and instance segmentation tasks. The proposed loss maximizes the mutual information between the representations of ground truth nuclei pixels from the labeled source dataset and the pseudo-labeled nuclei pixels in the target data.
2) We demonstrate our approach using different architectures and for over 20 cancer-type domain shifts establishing that the inclusion of the MI loss leads to competitive gain over recently proposed methods.

\section{Related Works}

\subsection{Unsupervised Domain Adaptation}

UDA is a well-studied problem in literature where two of the widely adopted techniques are adversarial learning and self-training. In Adversarial learning, researchers attempt to align source data representation with target data representation via discriminator training. Hoffman et al. \cite{hoffman2018cycada} proposed a cycle-consistent adversarial domain adaptation (DA) method for enforcing cycle-consistency between domains. \cite{luo2019taking} used a category-level adversarial network for enforcing semantic consistency between each class. Tsai et al. \cite{tsai2019domain} developed a patch alignment method for DA by adversarially pushing the feature representations of clustered patches together. Vu et al. \cite{vu2019advent} used an entropy-based adversarial training approach for aligning weighted self-information distributions of different domains. Yang et al. \cite{yang2020adversarial} showed improvement in domain alignment by iteratively defensing against pointwise adversarial perturbations for domains.

In Self-training, pseudo-labels are iteratively generated on target datasets using the model trained on labeled source datasets and used for retraining.
Recent papers have incorporated different de-noising strategies for improving the accuracy of pseudo-labels.
Zhang et al. \cite{zhang2019category} used category centroids from the source domain for pseudo-labeling the target data and used the distance to centroids for training. Zhang et al. \cite{zhang2021prototypical} denoised pseudo-label by online correcting them according to the relative feature distance to the prototypes. Zou et al. \cite{zou2018unsupervised} used class-wise normalized confidence scores for generating pseudo-labels with balanced class distribution for self-training. Zou et al. \cite{zou2019confidence} proposed a confidence regularization for smoothing the prediction via regularizer loss minimization.

We highlight the relevant works extending the above approaches for UDA in nuclei segmentation. Yang et al. \cite{yang2021minimizing} used adversarial domain discriminator and cyclic adaptation with pseudo labels for UDA. Further, they utilized weak labels to improve nuclei instance segmentation and classification.
Haq et al. \cite{haq2020adversarial} used adversarial learning loss and reconstruction loss on output space for UDA for cell segmentation. Li et al. \cite{li2021unsupervised} extended \cite{haq2020adversarial} and applied a self-ensembling method with a student-teacher framework for imposing consistency loss along with reconstruction and adversarial training.
In another branch of works, \cite{liu2020pdam} performed UDA from microscopy to histopathology images by synthesizing target-type images using CycleGAN followed by an inpainting module before applying adversarial adaptation. However, this approach requires pixel-level translation for synthesizing target-like images before a segmentation module and uses instance-level information for the mutual information-based feature alignment, constraining its adoption to only instance segmentation. Therefore, we limit our work and first test it extensively for tissue/ cancer type domain shifts and leave microscopy to histopathology adaptation for future works. Further, our proposed MI-based feature alignment strategy can be used for both semantic and instance segmentation problems.

\subsection{Contrastive Learning and Mutual Information}

Contrastive learning (CL) methods are being widely adopted for classification and segmentation tasks of different modalities.
For semi-supervised segmentation, Alonso et al. \cite{alonso2021semi} used positive-only CL for enforcing the segmentation network to yield similar pixel-level feature representation for same-class samples between labeled and unlabeled datasets. Hu et al. \cite{hu2021semi} for MRI and CT image segmentation pretraining used global contrastive loss on unlabeled images and supervised local contrastive loss on limited labeled images. For volumetric medical segmentation, Chaitanya et al. \cite{chaitanya2020contrastive} leveraged similarity across corresponding slices in different volumes for defining positive and negative pairs for contrastive loss. They used infoNCE bound for CL, requiring a large number of negative samples for training. For tackling this dependency, Peng et al. \cite{peng2021boosting} maximized mutual information (MI) on categorical distribution by projecting the continuous feature embedding to clustering space. They used encoder representation for global regularization and, for local regularization, maximized MI between neighboring feature vectors at multiple intermediate levels.

Our work maximizes the MI between similar classes using labeled source images and pseudo-labeled target images.
Concurrent to our work, Chaitanya et al. \cite{chaitanya2021local} proposed an end-to-end semi-segmentation framework by defining a local pixel-level contrastive loss between pseudo-labels of unlabeled sets and limited labeled sets. They randomly sample pixels from each image to address the computational limitations of running CL for all the pixels. In contrast, we use average pooling at the class level for considering all the pixels of labeled and unlabeled images. Further, we use JSD bound instead of InfoNCE for MI estimation and focus on domain adaptation tasks. Shrivastava et al. \cite{shrivastava2021clip} in their work for visual representation learning from textual annotation, demonstrated that the JSD-based bound enables the MI maximization at a smaller batch size with just one negative sample. Also, \cite{hjelm2018learning} demonstrated in their extended analysis that JSD is insensitive to the number of negative samples, while infoNCE shows a decline as the number of negative samples decreases, motivating us to choose JSD bound for MI estimation.

\section{Methods}

\subsection{Problem Set-Up}

In our work, we tackle the problem of unsupervised domain adaptation for nuclei segmentation, where we have labeled source domain data and unlabeled target domain data coming from different cancer types. Our labeled source data has $N_s$ images $(x_s, y_s)$ and our unlabeled target domain has $N_t$ images $(x_t)$.

\subsection{Segmentation Loss and Mutual Information Maximization}

We use a combination of dice loss and binary cross-entropy loss for supervised segmentation training $(L_{seg})$. For mutual information (MI) maximization, we use Jensen-Shannon Divergence (JSD)-based lower bound proposed in \cite{hjelm2018learning}. This bound allows us to estimate the MI with just one negative example for each positive example. In our framework, we define nuclei pixels in the source domain with nuclei pixels in the target domain as positive pairs while background pixels in the source domain with nuclei pixels in the target domain as a negative pair.

We use a simple $1\times1$ convolution network with the same number of input and output channels, followed by batch normalization and ReLU as the projection head. The output of the backbone network is passed to the projection head for generating representation for MI loss. Projected feature representation and segmentation labels are used for MI maximization. Since labels are not available for the target domain, we use a segmentation network output from the same iteration as pseudo-labels. Typically, we would like to contrast all the positive pair pixels with negative pair pixels. However, for computational feasibility, we mean pool the projected representations using the segmentation labels to get aggregated background and nuclei pixel representations. Further, mean pooled source nuclei representation with mean pooled target nuclei representation is treated as a positive pair, whereas mean pooled background pixel representation with mean pooled target nuclei representation is treated as a negative pair. We define our JSD estimator as:

\begin{equation}
\hat{I}_{\omega}^{JSD}(Z_s; Z_t) := \mathbb{E}_{P(Z_s,Z_t)}[-sp(-T_{\omega}(z_s, z_t))] - \mathbb{E}_{P(Z_s)P(Z_t)}[sp(T_{\omega}(z_s', z_t))]
\end{equation}

where $z_s$ is mean pooled source nuclei representation, $z_t$ is mean pooled target nuclei representation, $z_s'$ is mean pooled background representation for the source sample, and $sp(z) = log(1+e^z)$ is the softplus function. Here, $T_{\omega}: Z_s \times Z_t \to \mathbb{R} $ is a discriminator network with trainable parameters $\omega$ which are jointly optimized to distinguish between a paired-sample from a joint distribution (positive pair) and a paired sample from product of marginals (negative pair). For discriminator network, we use the concat architecture proposed in \cite{hjelm2018learning}.

\begin{figure}[t]
\includegraphics[width=\textwidth]{mani_v2_up.pdf}
\caption{Images pass through the backbone network and segmentation head for the segmentation training and projection head for contrastive training. Source image actual label is used for segmentation loss and to obtain the feature representation of nuclei and background area. Target image prediction is used as the pseudo label to get the feature representation of the nuclei area. Masked features are average pooled for generating positive and negative pairs for mutual information maximization.} \label{fig1}
\end{figure}

\subsection{Training}

As shown in Figure 1, our architecture is divided into 4 parts - 1) backbone encoder-decoder network ($\theta_b$), 2) segmentation head ($\theta_s$) for generating segmentation masks, 3) projection head ($\theta_p$) for generating feature representations for MI maximization and 4) discriminator network $(T_\omega)$ for estimating MI.

We divide our training into 2 steps. In step 1, for warming up the model and achieving reasonable pseudo-labels for target data, we pretrain the backbone network ($\theta_b$) and segmentation head ($\theta_s$) using source data on segmentation loss.

\begin{equation}
(\hat{\theta_b}, \hat{\theta_s}) = \argmin_{\theta_b, \theta_s}\frac{1}{\left| X_s \right|} \sum_{(x_s, y_s)}^{} L_{seg} (y_s, \hat{y_s})
\end{equation}

In step 2, we continue the training the model with the MI loss between labeled source data points and pseudo-labeled target data points.

\begin{equation}
    \begin{split}
    (\hat{\theta_b}, \hat{\theta_s}, \hat{\theta_p}, \omega) = \argmin_{\theta_b, \theta_s}\frac{1}{\left| X_s \right|} \sum_{(x_s, y_s)}^{} L_{seg} (y_s, \hat{y_s}) +\\ \argmax_{\omega, \theta_p, \theta_b, \theta_s} \frac{1}{\left| X_{pair} \right|} \sum_{(x_s, y_s), (x_t, \hat{y_t})}^{} \hat{I}_{\omega}^{JSD}(Z_s; Z_t)
    \end{split}
\end{equation}

where $Z_s$ and $Z_t$ are mean pooled nuclei representation for source and target respectively, and $X_{pair}$ define randomly paired source and target image for MI maximization.

\section{Experiments}

\subsection{Dataset and Implementation}

We evaluate our approach using the similar setting used in \cite{li2021unsupervised} for Nuclei Semantic Segmentation and \cite{yang2021minimizing} for Nuclei Instance Segmentation. In \cite{li2021unsupervised}, authors used the Kidney Renal Clear Cell Carcinoma (KIRC) dataset \cite{irshad2014crowdsourcing}, Triple Negative Breast Cancer Cell (TNBC) dataset \cite{naylor2018segmentation}, and Stomach adenocarcinoma (STAD) \cite{hou2020dataset} of the TCIA repository. There are $486$ images of $400\times400$ pixel size in KIRC, $50$ images of $512\times512$ pixel size in TNBC, and $99$ images of $256\times256$ pixel size in STAD. \cite{li2021unsupervised} evaluated UDA Nuclei Semantic Segmentation for following cancer type domain shift - TNBC to KIRC/ TCIA, and TCIA to KIRC/ TNBC. Following the same setup for comparison, we use standard U-Net architecture as the backbone encoder-decoder network and $80\%$ of images for training, $10\%$ for validation, and $10\%$ for testing. We report average dice scores from five runs with different splits for accounting for sampling bias.

In \cite{yang2021minimizing}, the authors used colorectal nuclear segmentation and phenotype dataset (CoNSep) \cite{graham2019hover} as the source domain and PanNuke dataset \cite{gamper2019pannuke} comprising 19 cancer types as the target domain for UDA in nuclei instance segmentation and classification task.
As used in their paper, we use labeled CoNSep and the first split of PanNuke for training, second split for validation, and third split for testing. We focused on the instance segmentation task and didn't use classification labels for training. We use HoverNet as the backbone encoder-decoder network with MI maximization module included in the nuclei segmentation branch. We report Dice Score, Aggregate Jaccard Index (AJI), Panoptic Quality (PQ), Detection Quality (DQ), and Segmentation Quality (SQ) for comparison.

All experiments are carried out in PyTorch using $1$ A100 GPU for nuclei semantic segmentation and $4$ A100 GPUs for nuclei instance segmentation. For the nuclei semantic segmentation experiment, we train the model for $1000$ iterations using only segmentation loss and $9000$ iterations with both segmentation and MI maximization loss. We use a batch size of $4$, Adam optimizer with a learning rate of $1e-3$, and rotation augmentation. We randomly pair labeled source images with unlabeled target images during the MI maximization step. For nuclei instance segmentation experiment, we follow the training details provided in \cite{yang2021minimizing} and \cite{graham2019hover}. We extend our approach only for nuclei instance segmentation and will focus on classification in our future work. First, we freeze the encoder and train the decoder for $50$ epochs, with the first $10$ epochs only using segmentation loss and the subsequent $40$ epochs using both segmentation and MI loss. Then we unfreeze and train the whole network for $50$ epochs with both losses. We use a batch size of $16$ and Adam optimizer with a learning rate of $1e-4$.

\subsection{Evaluation}

\begin{table}[t]
\caption{Nuclei Semantic Segmentation Results for UDA.}\label{tab1}
\centering
\begin{tabular}{|c|c|c|c|c|}
\hline
\textbf{Source Domain} & \multicolumn{2}{c|}{\textbf{TNBC}} & \multicolumn{2}{c|}{\textbf{TCIA}}\\
\hline
\textbf{Target Domain} & \textbf{KIRC} & \textbf{TCIA} & \textbf{KIRC} & \textbf{TNBC}\\
\hline
Source Only & 0.713 & 0.680 & 0.710 & 0.791\\
DA\_ADV \cite{dong2018unsupervised} & 0.726 & 0.734 & 0.708 & 0.787\\
CellSegUDA \cite{haq2020adversarial} & 0.728 & 0.765 & 0.705 & 0.805\\
SelfEnsemblingUDA \cite{li2021unsupervised} & 0.727 & 0.761 & 0.715 & 0.816\\
MaNi & 0.733 & 0.776 & 0.727 & 0.821\\
\hline
\end{tabular}
\end{table}

\subsubsection{Nuclei Semantic Segmentation} - Table~\ref{tab1} compares our approach with recently proposed approaches for UDA for nuclei semantic segmentation \footnote{Other approach results reported using best self-implementation}. MaNi outperforms all other approaches for both TNBC to KIRC/ TCIA shift and TCIA to KIRC/ TNBC shift. The next best performing approach proposed in \cite{li2021unsupervised} uses multiple components consisting of a discriminator and a reconstruction network, consistency regularization between perturbed target images, and post-processing with CRF. While MaNi only uses the MI maximization module with segmentation loss for training, reducing the complexity of the architecture. We attribute high gains to the MI module's ability to transfer nuclei segmentation knowledge from labeled source pixels to pseudo-labeled target pixels.

\begin{table}[t]
\caption{Nuclei Instance Segmentation Results for UDA from CoNSep to PanNuke.}\label{tab2}
\centering
\begin{tabular}{|c|c|c|c|c|c|}
\hline
\textbf{Method} & \textbf{Dice} & \textbf{AJI} & \textbf{DQ} & \textbf{SQ} & \textbf{PQ} \\
\hline
Source Only & 0.576 & 0.387 & 0.461 & 0.657 & 0.342\\
GRL \cite{ganin2015unsupervised} & 0.723 & 0.509 & 0.587 & 0.756 & 0.450\\
Paul et al. \cite{paul2020domain} & 0.731 & 0.501 & 0.600 & 0.751 & 0.446\\
Yang et al. \cite{yang2021minimizing} & 0.740 & 0.516 & 0.602 & 0.753 & 0.460\\
MaNi & 0.735 & 0.534 & 0.621 & 0.742 & 0.477\\
\hline
\end{tabular}
\end{table}

\subsubsection{Nuclei Instance Segmentation} - Results for UDA in nuclei instance segmentation from CoNSep data to PanNuke data is reported in Table~\ref{tab2}\footnote{Other approach results reported from \cite{yang2021minimizing}}. MaNi performs competitively to the best performing approach. MaNi demonstrates superior performance over PQ, DQ, and AJI, highlighting that our approach can detect and segment more nuclei accurately and suffers less from the issue of false negatives. While in terms of SQ and Dice Score, MaNi is competitive to other approaches.

\begin{table}
\parbox{.45\linewidth}{
\centering
\caption{Impact of MI loss weight.}\label{tab3}
\begin{tabular}{|c|c|c|}
\hline
\textbf{Source Domain} & \textbf{TNBC} & \textbf{TCIA} \\
\hline
\textbf{Target Domain} & \textbf{TCIA} & \textbf{TNBC} \\
\hline
1 & 0.776 & 0.821 \\
0.1 & 0.769 & 0.765 \\
0.01 & 0.751 & 0.765 \\
\hline
\end{tabular}
}
\hfill
\parbox{.45\linewidth}{
\centering
\caption{Impact of type of MI loss.}\label{tab4}
\begin{tabular}{|c|c|c|}
\hline
\textbf{Source Domain} & \textbf{TNBC} & \textbf{TCIA} \\
\hline
\textbf{Target Domain} & \textbf{TCIA} & \textbf{TNBC} \\
\hline
Mean-Pooling & 0.776 & 0.821 \\
Max-Pooling & 0.751 & 0.817 \\
Random Pixels & 0.771 & 0.809 \\
\hline
\end{tabular}
}
\end{table}

\subsection{Ablation Studies}

We study the impact of different weightage on the MI loss for training. As shown in Table $3$, the default choice of $1$ performs best. The impact of MI loss dilutes with reduction in weight, leading to a drop in performance. Further, we study how replacing the average pooling approach with the max-pooling approach or sampling random pixels approach (N=$4$), as done in \cite{chaitanya2021local}, impacts performance. Average pooling performs superior to other approaches.

\section{Conclusion}

In this paper, we propose a JSD-based MI loss for UDA for Nuclei Semantic Segmentation and Instance Segmentation. We perform comprehensive experiments with different architecture - UNet and HoverNet and for different cancer-type domain shifts - TNBC to TCIA/KIRC, TCIA to KIRC/TNBC, and CoNSep to PanNuke. We highlight that our method leads to gain for both semantic segmentation and instance segmentation. We plan to extend this approach for nuclei classification tasks and subsequently to general imaging tasks in our future work.

\subsubsection{Acknowledgements} This work was supported by NIDDK of the National Institutes of Health under award number K23DK117061-01A1 and Litwin IBD Pioneers Award of the Crohn's \& Colitis Foundation.

\bibliographystyle{splncs04}

\section{First Section}

\end{document}

redpajama_set_name: RedPajamaArXiv


James Franklin scored his second significant Pittsburgh victory within a few days.
First, the Nittany Lions pulled away in the rain to distribute a beatdown of the Panthers at Heinz Field Saturday night.
Penn State head coach James Franklin, left, shakes hands with Pittsburgh head coach Pat Narduzzi following an NCAA college football game in Pittsburgh, Saturday, Sept. 8, 2018. Penn State won 51-6.
Now, the Penn State head coach received a verbal commitment from the state's No. 1 recruit, North Allegheny High cornerback Joey Porter Jr.
Of course, he is the son of former Pittsburgh Steelers' star linebacker and assistant coach Joey Porter. He announced his college decision Tuesday morning via social media.
Franklin had watched Porter Jr. play Friday night while in town for his own game.
Porter (6-foot-2, 185 pounds) is a four-star recruit and chose the Lions over Miami, LSU, Nebraska, and Pitt.
"Everybody loves big defensive backs and he's the biggest one" among the state's top targets," said Adam Friedman, a Mid-Atlantic analyst with Rivals.com. "He's got a cornerback's skill set but a safety's size.
"He's on the lighter side, but I really like that length and the instincts he possesses."
He is rated as the nation's No. 30 cornerback in the 2019 class, according to the 247Sports' Composite rankings.
Porter is the 16th member of a Penn State class that's hovering around the No. 15 spot nationally. He is the fourth member with in-state ties, joining State College defensive back Keaton Ellis and Lackawanna Community College defensive back Jaquan Brisker and offensive lineman Anthony Whigan.
Porter may offer the most intriguing intangibles. He reportedly engages in weekly film breakdown sessions with his father and has grown up in NFL locker rooms and practice facilities.
The importance of his commitment is not just "what he brings in the defensive backfield, but for (Franklin's) stated goal from day one: 'Dominate the state,'" Friedman said.


~The SACNS News Service: Journey: Why is Good Friday Good?
Why is Good Friday good, and Friday itself looked at as Holy?
The Jesus sacrificed in the Mass: refers to a physical connection with the actual crucifixion on good Friday: it is as though one looks at Christmas: the day when the animal we eat is killed is good: for us, because it's death sustains us. Good Friday is the beginning of the Triumph of the Cross: it is on this day and not on Easter, that each of our sins are paid for. In the African tradition, animals are sacrificed in a celebratory manner: Jesus, God himself, is sacrificed to God, by evil hands: so that those who are forgiven at all are always forgiven through time: by God: into this very moment, when Jesus is still on the cross. Good Friday therefore is Good: it is the day in which God's enmity with us can be set aside: it is the beginning of the treaty, the family known as Christianity. The Man next to Jesus on the Cross: Jesus forgives, without an animal sacrifice: evidently: it is by his death, on Good Friday, that we are forgiven, for there was no sacrifice, and Jesus had not died yet.
We would have been forgiven even if He had not risen on Easter, in accordance with Isaiah's "Suffering Servant". Good Friday is Good, as it is the day on which history alters its course: it is the ultimate demonstration of God's love to us: to those in love: foolishness is wisdom: as the Bible also says: "God's foolishness is wiser than Man's wisdom".
The crucifixion itself is expected from the broken world: it is sin itself showing its face: and yet: it is good, because the crucifixion, is the death throes of death: it is here that death is reversed: for this reason, "Good Friday" is good: good in that it is where evil is conquered: good, in that it is God's remedy to evil: although, like many medicines: it tastes dreadful to the senses: yet puts one in a better state.