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Andrea Tantaros Lawsuit Compares Fox News To The Playboy Mansion
It looks like Andrea Tantaros' days as co-host of Outnumbered on the Fox News Channel are over.
Tantaros filed a lawsuit against the network and five other defendants yesterday claiming that it retaliated against her for complaining to high-level executives about alleged sexual harassment by former boss Roger Ailes. She also apparently is claiming that Bill O'Reilly, the anchor of the top-rated O'Reilly Factor, made unwelcome advances toward her.
Earlier this month, her lawyer first raised the issue of alleged job-related retaliation over sexual harassment complaints amidst a dispute that supposedly arose over a book that Tantaros had authored. After an internal investigation prompted by Gretchen Carlson's sexual harassment lawsuit filed on July 6, Roger Ailes left the network that he founded 20 years ago, reportedly with a $40 million severance check, but has denied the allegations against him.
The Outnumbered webpage still lists the pro-Trump Tantaros as one of the three co-hosts, however, and she is still on the payroll despite zero air time.
In legal papers filed yesterday at the New York Supreme Court in Manhattan, Tantaros leveled heavy criticism at her employer or former employer, according to the New York Times.
"'Fox News masquerades as a defender of traditional family values, but behind the scenes, it operates like a sex-fueled, Playboy Mansion-like cult, steeped in intimidation, indecency and misogyny,' Ms. Tantaros's suit says."
Tantaros claims that in several office meetings, Ailes made a series of inappropriate remarks to her.
Andrea Tantaros Sues Fox News: "It's a Playboy Mansion-Like Cult" https://t.co/8tKZQDNaMc via @TheIJR
— Lisa Millen (@LisaMillen2) August 23, 2016
"Tantaros says that during her six years at the network, Ailes repeatedly made sexual comments toward her, such as discussing how she would look in a bikini and speculating about the sexual habits of other Fox News employees. She says she was moved from The Five to the lower-rated program Outnumbered after refusing his request to turn around 'so I can get a good look at you,'" New York magazine detailed about the Andrea Tantaros lawsuit.
Among other things, the 37-page, five-count legal complaint (see full text here) also contains a litany of unflattering/offensive comments that Roger Ailes allegedly made about some Fox on-air personalities as well as accusations of misbehavior by other Fox talent.
Tantaros' last appearance on the show was April 25. In a brief statement around that time, the cable network merely noted that there were issues about her still-in-effect contract, and it determined that she should take some time off. Since then, Tantaros indicated that she was not permitted to discuss the contract situation during her forced vacation.
The timing of her disappearance was odd and probably unfortunate for book sales in that her tome Tied Up in Knots: How Getting What We Wanted Made Women Miserable was officially published the day before, so she lost the opportunity to promote it on various Fox platforms. Helped by the authors' high visibility, books by Fox News personalities often find their way to best-seller lists.
Fox News claims that the employment dispute actually revolves around Tantaros failing to submit her book manuscript for required screening and therefore violated her employment contract. Fox contracts presumably contain a clause requiring such vetting by the legal department. Since the book was published by a Fox sister company, it seems odd perhaps that a disconnect would have occurred, however.
Andrea Tantaros Sues Fox News, Claiming Retaliation for Reporting Sexual Harassment https://t.co/VWIAhbLLBx @TheCut
— TEEJ NEPOMUCENO (@teejnepomuceno) August 23, 2016
"In April, the chief lawyer for Fox charged that Ms. Tantaros had concocted sexual harassment claims to gain leverage in the contract dispute; her lawyer, Judd Burstein, said the book dispute was a pretext that Fox was using to silence her. During arbitration, Mr. Burstein said, Fox News offered to pay her a sum 'in the seven figures' if she renounced claims against Mr. Ailes and others at the network, including the host Bill O'Reilly," the Times explained.
FNC exec Bill Shine, who now runs Fox News on a day-to-day basis after the departure of Ailes, "has said that Ms. Tantaros never approached him about Mr. Ailes harassing her," and Fox News itself has declined to comment on the litigation, which is standard for most corporations.
The Andrea Tantaros lawsuit seeks a total of $49 million in damages.
[Photo by Jamie McCarthy/Getty Images]
Added: Reacting to the Andrea Tantaros lawsuit against Fox News, cable news blogger Johnny Dollar contended that some of the lurid claims in the legal papers are for trending/publicity purposes. "It almost suggests to me that the lawsuit is not intended to be successful (numerous falsehoods have already been spotted in the filings) but rather to impact public opinion…Why include allegations they know can never be proved? Because the social media will bite on them. She's fighting the war in social media because she knows she won't win it in the courtroom."


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Діліжанський національний парк займає площу 24000 га та розташований в північно-східній частині Республіки Вірменія, в марзі (області) Тавуш. Діліжанський національний парк добре відомий своїми лісовими ландшафтами, багатим біорізноманіттям, лікарськими мінеральними джерелами, природними та культурними пам'ятками. Це один з двох існуючих національних парків в Республіці Вірменія (див. Севанський національний парк).

Історія
Діліжанський національний парк був створений у 2002 році на базі державного природного заповідника, який, у свою чергу був створений в 1958 році на базі колишніх Діліжанського і Куйбишевського підприємств лісу. Територія нещодавно створеного національного парку залишилася незмінною.

Зміна статусу Діліжанського заповідника на Діліжанський національний парк було обумовлено низкою об'єктивних причин, таких, як неминучість комерційної діяльністі в цьому районі, присутність численних пунктів, включаючи місто Діліжан з мінеральною водою, курорти, залізничної лінії Єреван — Іджеван, що проходить через всю її територію та інші. В наш час генеральний план національного парку знаходиться в стадії розробки, в тому числі уточнення меж і відображення економічних, рекреаційних і буферних зон національного парку.

Географія

Національний парк простягається на схилах Памбаку, Арегуні, Міапору, Іджевану (Каені) та Халабських гір в діапазоні на висоті 1070-2300 м над рівнем моря. Гірські луки над цією висотою не відносяться до національного парку. Річка Агстев і її основні притоки — річки Ховаджур, Штоханаджур, Блдан, Агарцін і Гетік проходять через національний парк. Є озеро Парз («Чисте озеро») та Цркаліч, а також інші дрібні озера.

Флора та фауна

Флора Діліжанського національного парку включає 902 види судинних рослин, а саме плауни (1 вид), хвощі (1), папороті (12), голонасінні (7) та покритонасінні (881). Близько 40 рідкісних видів рослин ростуть на цій території. 29 видів флори, занесених в Червону книгу зникаючих видів Вірменії та 4 до Червоної книги СРСР. Фауна також дуже багата. Наприклад у національному парку налічується лише 800 різновидів жуків.

Культурні пам'ятки

Найважливішими культурними пам'ятками, розташованими в Діліжанському національний парку є:
 Монастир Агарцин (X-XIII століття)

 Монастир Гошаванк (XII-XIII століття)

 Монастир Джухтак (XI-XIII століття)
 Монастир Матосаванк (X-XIII століття)
 Церква Ахнабат (XI століття).

Див. також

 Туризм у Вірменії
 Тавуш
 Діліжан
 Севанський національний парк
 Агарцін
 Гошаванк

Примітки

Туризм у Вірменії
Тавуш
Курорти Вірменії
Національні парки Вірменії

redpajama_set_name: RedPajamaWikipedia


The mother and the younger son in a happy family dies in a car-accident. The father and the teenage-son Jonas survives the accident. Now they have to move on with their lives together. The film won the audience prize at the Swedish film venue Guldbaggen 2007.


Learn the original swing dance, Lindy Hop. Swing It Seattle has new introductory class series starting soon. No partner or experience required. Fun people, great exercise, and free parking.
The Swing It Seattle Lindy Hop 1 series is offered twice a week. Register for one and take both at no extra charge. That's 10 hours of instruction for only $70!


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GIFT A SPRAY
With every purchase, KUROS gives free pepper spray to at-risk groups around the world.
For distribution in Central America we partnered with Centro de Intercambio y Solidaridad (CIS) based out of San Salvador, El Salvador. With a network reaching all over the country, we are able to get pepper spray into the hands of women both in the major cities as well as the rural areas and mountain communities.
CIS was founded in 1993 after the signing of the Peace Accords in El Salvador. Solidarity groups from the United States, Canada, and Europe came together with Salvadoran popular organizations to develop a center to promote people-to-people relations after the war. The root causes of the war - economic and social injustice together with a lack of democratic openings to make change - were still present. It was agreed that continued international accompaniment and solidarity with grassroots movements for social and economic justice and participatory democracy would be needed to achieve structural changes in the post war period. The CIS mission is to promote solidarity and cultural exchange across borders between the Salvadoran people and others in the search for development and dignity. CIS works to promote and strengthen a culture of solidarity that implies accompaniment, respect for equality of different cultures, and mutual support between people. CIS focuses on using different strategies to promote a solidarity that creates the space for grassroots organizing for justice and dignity.
Back to Countries
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redpajama_set_name: RedPajamaCommonCrawl


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Law360 recognizes McKool Smith as a "Texas Powerhouse"
Law360 has recognized McKool Smith as a "Texas Powerhouse" based on the firm's courtroom achievements from July 1, 2018, to July 1, 2019. The publication notes that powerhouse firms stand out for "bringing home blockbuster trial victories and defending clients' trade secrets in bet-the-company litigation" in the Texas market. This is the second consecutive year the firm has garnered this prestigious accolade, and it marks the third time in the past six years.
You can read the firm's feature profile here.
Over the past year, our Texas attorneys have tallied an impressive string of litigation victories, including:
A U.S. Patent Trial and Appeal Board ruling that all 17 claims of a patent owned by Amgen unit Immunex Corp. were invalid as obvious. Immunex had asserted the patent in California federal court against Sanofi-Aventis US LLC's drug Dupixent, which is used to treat eczema. Our team successfully explained why Immunex sought such broad claims and why those claims were open to validity challenges, securing a win for Sanofi and Regeneron Pharmaceuticals Inc. at the PTAB in February 2019.
A $145 million patent infringement verdict on behalf of plaintiff WiLan Inc. against Apple Inc. in the Southern District of California.
A $10.6 million jury verdict for Optis Wireless Technology LLC and PanOptis Patent Management LLC in their patent infringement suit against Huawei Technologies Co. Ltd. The jury in the Eastern District of Texas found in August 2018 that all five of the wireless and video patents owned by PanOptis were valid and had been willfully infringed.
A defense verdict in a case brought by HTC Corp. and HTC America Inc. in the Eastern District of Texas accusing Ericsson Inc. of flouting its contractual duty to offer licensing fees for its standard-essential cellular patents that were fair, reasonable and nondiscriminatory, or FRAND. After a five-day trial in February, McKool Smith attorneys were able to convince a jury that Ericsson hadn't breached its contractual obligations.
An International Trade Commission win for TiVo and Rovi Corp. when an administrative law judge found that certain Comcast Corp. receivers infringed two Tivo patents.


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HomeProduceEach Organic Avocado Saves 17.6 Litres of Water – and More
Each Organic Avocado Saves 17.6 Litres of Water – and More
Eosta Produce March 29, 2021
Eosta demands political attention for the positive impact of organic fruit and vegetables
'Since 8.00 am, our organic avocadoes have saved 73,771 litres of water.' This message was shown at 10.00 am on the morning of Tuesday 16 March on a 3 x 5-metre ticker board during a guerrilla campaign at the Binnenhof, the Dutch parliament building. Volkert Engelsman, Managing Director of the Eosta organic trading company, handed out organic avocadoes to passers-by to underline this message. Eosta had the impact of various organic products on water, climate and soil calculated. 'We make the figures public for consumers to make informed choices. Choose organic – the best choice,' according to Engelsman.
Eosta had the impact on soil, water and climate (CO2) of all its sold products calculated. From today, the numbers are shared in live tickers on the www.eosta.com and www.natureandmore.com websites. The figures show that the organic method of producing fruit and vegetables provides clear sustainable advantages over conventional production.
Avocadoes
It is generally known that the explosive increase in avocado consumption is causing water shortages in the countries of origin. Choosing organic avocadoes saves 88 litres of water per kilo of avocados compared to conventional avocadoes. Organic soils contain more organic carbon and therefore act like a sponge, saving up to 40% water. In addition, the greater part of Eosta's avocadoes come from growers in Kenya, who mainly use rainwater, which is naturally much more sustainable compared to irrigation using surface water.
In 2020, Eosta sold nearly 3.5 million kilos of organic avocadoes. Compared to conventional avocadoes, this resulted in water savings of 126 Olympic-sized swimming pools full of drinking water, 260 trucks of fertile soil, and 300 tons of CO2-equivalent greenhouse gas emissions.
The calculations were carried out by Soil & More Impacts, a German-based consultancy that specialises in ecological impact analysis. Soil & More Impacts works with calculation models from the FAO, the Food and Agriculture Organization.
Increased transparency in the shop
Volkert Engelsman, Eosta CEO, invites retail chains to make use of the figures and thus radically increase food transparency. 'We will be happy to make counters for specific buyers, products and growers. Food retailers sometimes appear to be afraid of transparency, while there is absolutely no reason in this case. I challenge supermarkets to show consumers what choosing organic means for water, soil and climate.'
Why organic performs better
The difference is caused by organic growers' concern for the soil and their feel for life processes rather than chemicals. Organic soils contain more organic carbon and have a better structure, causing them to act like a sponge that retains water. It also provides biodiversity advantages, less pollution, improved carbon binding in the soil, less erosion and wash-out, etc. Since 1 January 2020, Eosta has saved around 40 million kg of soil, almost 5000 tonnes of CO2 and 800 million litres of water in relation to the conventional alternative. The counter is running.
Eosta, with Nature & More as its consumer brand and transparency system, is Europe's most award-winning distributor of organic fruit and vegetables. Eosta is known for its sustainability campaigns such as Living Wages, True Cost of Food and Dr. Goodfood. In 2018 the company was awarded the King Willem I Plaquette for Sustainable Entrepreneurship and in 2019 the European Business Award for the Environment. See also www.eosta.com and www.natureandmore.com.
Eosta
Nature and More
Norwegian Salmon Producers Face Antitrust Lawsuit
Fruit Attraction 2021 – Much More than an On-Site Industry Reunion
Eosta Has Sold The First 100,000 Boxes of Living Wage Avocados
Eosta Produce June 22, 2021
ast year, Eosta introduced the first Living Wage product (mango) and in April this year the Living Wage avocado was launched. Two months on, 100,000 4kg boxes have already been sold. …
Eosta and Soil & More Impacts Launch 'Farming & More Website' to Support Organic Farming Practices Around the World
Eosta Produce May 10, 2019
Eosta, an organic fruit and vegetable specialist, and Soil & More Impacts, a team of sustainability specialized agronomists, have jointly launched an attractive website to help growers combat global farming challenges in a sustainable way. …
A New Reason To Eat Organic: A Diverse Microbiome
Eosta Produce September 17, 2021
An organic apple contains more microscopic biodiversity, which is an essential ingredient for human health. This was revealed by Austrian research conducted in 2019 that compared the micro-biodiversity of conventionally grown and organic apples. Other new research indicates that microbial biodiversity is crucial for good health. And this is why Eosta is supporting a study carried out by Stichting Bac2nature (Bac2nature Foundation) and Maastricht University on the link between cultivation methods, microbial biodiversity and digestion. "Biodiversity is vitality," according to Eosta CEO Volkert Engelsman. …


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redpajama_set_name: RedPajamaGithub


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Family History, Genealogy
Family History: Oval Portraits that Have Convex Bubble Glass
For as long as I can remember, there's been a large oval portrait hanging in my grandmother's house. They've always had a number of photos up and this one blended in a bit. I had a general idea that it was someone's grandmother, but just like the Chinese scrolls and the Disneyland silhouettes of my mother and her sisters, the portrait faded into the comfortable chaos that was my grandparents' home.
Finally, as an adult, I asked my grandma who exactly the portrait was of. It turns out that it's a portrait of my grandmother's grandmother (her father's mother), who is also the woman who raised my grandma. I realized that I had probably forgotten this because it was impossible to reconcile the mental picture I had of Yee See, a tiny raisin of a stern-faced lady, with the beautiful young woman staring back from the oval frame.
At home, doing my genealogical research, I started to think about Yee See. How was it that we had this large portrait of her, a Chinese immigrant storekeeper's wife who came into this country before the 20th century? Had someone paid to have this done later in her life? Was this really my great-great-grandmother?
So, on this last trip, I took the portrait off the wall for a closer look and immediately realized two things.
One: the glass in the frame is curved outward and the photo behind it seems to be curved as well.
Two: the photo doesn't look like a photo at all because when you really look at it there are tiny sketch marks.
What was this about? As weird as it was for a storekeeper's Chinese wife to have a large portrait done, it now seemed weirder that the portrait would be in artisan glass and that it could actually be a piece of art that she sat for. After all, no family legend has said anything about my great-great-grandfather's artistic ability, so the thought that he sat down to sketch his wife was pretty impossible. So where had this come from and why was it this weird shape and why on earth wasn't it a photo??
It turns out that this type of portrait is a Convex Oval style portrait (occasionally referred to as a bubble frame portrait by antique dealers) and they were all the rage from 1880-1920. You can tell a "true" portrait from this time period two ways. One, the portrait itself will be curved against the glass, which means if the glass breaks or you take the portrait out it will be impossible to frame it in a regular frame. This was accomplished by mounting the wet image in a certain kind of press so that it fit the glass…an art that gave both the illusion of more depth and also the requirement that the customer shell out for the fancy curved frame that would fit the image they just bought.
Luckily, there are dealers to sell replacement glass and you can even find restoration artists to help you reproduce these portraits to make more (flat) copies if multiple relatives want the portrait. I do not, however, recommend that you remove the image yourself as the paper is likely to be very brittle and it's not meant to be removed. That's something you should leave to the experts if you want it restored.
The second way to tell that it's a Convex Oval style portrait is that the portrait itself will have some sketching on it. It turns out that these are photographs, but the process resulted in a very weak image and the photographers corrected this by going over the photograph with a bit of charcoal before framing (and then charged extra for their artistic enhancement). For this reason, these portraits have a very soft look about them and we have to wonder a little about their photographic accuracy since an artist could easily make lips a little bit fuller or fail to sketch in a random blemish.
So, having solved the mystery of the curved glass sketch of my great-great-grandmother, I was satisfied in knowing that this was most likely a portrait of her and that I could tell exactly how the portrait was made, but it's raised a number of other genealogical mysteries that I've added to my list:
How is it that she had the disposable resources to have a portrait like this done when she was an immigrant and wife to the clerk of a small store in a fishing village…particularly if the portrait was taken in her early twenties as it would appear?
Why, when so many Chinese immigrants actively avoided having their photograph taken, did she have a portrait done at all? Why didn't she hold to the traditional belief that photography might threaten her soul as it seemed most of her contemporaries in San Francisco would have believed?
Who took this portrait? Were they photographing many Chinese women or is this portrait a rarity in a sea of caucasian faces?
I'm telling you, this is the good stuff about genealogy. Solve one mystery, receive three more.
@historicish
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Home Dispatches Feeding Hawai'i
Feeding Hawai'i
by Maureen Nandini Mitra
Can the Aloha State transition to growing enough food to sustain its population using small-scale, agroecology practices?
For Chris Kobayashi and her husband, Dimi Rivera, it all started with Japanese cucumbers. "In 1997 we said, 'OK, let's grow Japanese cucumbers, but let's grow it organically,'" Kobayashi tells me as we walk around her farm in Hanalei Bay on Kaua'i's North Shore. "You know, because they are crispy, crunchy, and yummy and you can eat the skin and everything."
The couple knew that it would be a tough vegetable to grow. Cucumbers (and melons) are prone to extensive damage from fruit flies in Hawai'i. So they covered every single cucumber that came up with plastic bags. "We'd charge a dollar for each at the farmers' market," says Kobayshi. "We set up a sign on that said 'Japanese Cucumbers, $1.' We offered samples and people got hooked because it's so crunchy. Then they started asking, do you have any kale? I was like, 'Kale? What is that?' So that's how we started growing other kinds of veggies. It was just all an organic thing that happened. None of this was planned." Today, Kobayashi's family's 10-acre Waioli Farm, named after the stream that runs beside it, grows produce using organic practices – mainly taro, which they supply to families and traditional poi (taro paste) makers on Oahu and the Big Island, but also some fruits and vegetables for their local farmers' market stand.
Kobayashi, whose family has been growing taro commercially for generations, is a member of Hawai'i SEED, a coalition of grassroots citizen groups and food activists that is working to promote ecological food and farming in Hawai'i. Earth Island Journal (EIJ) met with her when reporting on the growing Hawai'i citizens' movement against the genetically modified seed industry in the islands. (Read the in-depth story on the issue here.) To be more specific, EIJ met with her, and several other small scale farmers on Kaua'i and O'ahu, in an effort to understand whether there were indeed any viable alternatives to industrial-style farming in Hawai'i. Could this remote island chain, which currently imports nearly 90 percent of its food, transition to growing enough food to feed itself though small-scale, agroecological farming?
Kobayashi certainly thinks so. "Have you seen this?" she asks, sweeping an arm to indicate the lush fields and emerald mountains around us. "Over here we have year-round warm weather, we have land, we have water... We just need more farms that produce food." Of course, the transition would have to be more intentional than how she started out, and it would require setting up complementary cottage industries that could employ more people, she adds. "It will be a lot of hard work, but it can be done... I can see a vibrant economy take shape."
The thriving local food economy on Kaua'i's North Shore – with its diverse community of homesteaders, small-scale farmers like Kobayashi and Rivera, and upscale homeowners and tourists who often buy out the farmers' markets in a matter of hours – offers a window into what's possible in Hawai'i.
A widespread switch in farming systems, however, would first require a larger shift in perception of what most Hawaiian residents (and in fact, most Americans) consider the kind of farming that feeds and employs the multitudes. In Hawai'i specifically, the problem is that because of the islands' colonial history, its people have been alienated from their traditional livelihoods and sustainable agricultural practices, says Albie Miles, director of the University of Hawai'i - West O'ahu's Sustainable Agriculture program.
Large scale, plantation-style agriculture was a centerpiece of Hawai'i's economy for more than a century, until competition from overseas drove local sugarcane and pineapple plantations out of business in the 1990s, leaving many jobless. The dying plantations were then replaced by large biotech seed farms. For many Hawaiians, who worked or grew up with this kind of agricultural system, it's impossible to even conceive that islanders can sustain themselves without Big Ag. As Kaua'i Mayor Bernard Carvalho told me: "This kind of agriculture really feeds our families."
What Hawaiians forget, Miles says, is that the islands have another, much older agricultural and land-use history – one that is deeply intertwined with the region's environment and indigenous culture, one that had sustained the people of this remote island chain for several centuries before the arrival of the first European explorers.
The early Hawaiian settlers, who arrived in the uninhabited islands around A.D. 300 from Polynesia, developed a unique system of resource management to support their growing population. Recognizing the connection between the mountains and the oceans and the key role of freshwater in linking the two, they divided the islands into self-sustaining units called ahupua'a. The ahupua'a were usually wedge-shaped sections of land that ran from the mountains to the sea (extending into coastal fishing grounds) and contained a freshwater source such as a stream, spring, or river. Each ahupua'a contained within it all the resources needed for a community to sustain itself independently.
It was the responsibility of the community living with the ahupua'a to manage the land and water resources in a balanced way. The community's kahuna, or priests, helped oversee this by imposing taboos on things like fishing certain species during specific seasons, or gathering certain plants at the wrong time. Food, goods, and services were distributed within an ahupua'a via a system of sharing and mutual cooperation. This kind of resource management helped develop a strong sense of community and interdependence between the people and the natural environment. When Captain James Cook, the first European explorer to land in Hawai'i, sailed into Kaua'i in 1778, the islands were supporting a population of about 300,000. (Estimates vary from less than 300,000 to more than 700,000. The current population of Hawai'i is 1.39 million.)
There are few ahupua'a left intact in Hawai'i today (Kobayashi's farm is part of a fractured one), and none of them can support an entire community as in pre-industrial days. But some interesting efforts to restore versions of this ancient land-use system are being undertaken by organizations like the Waipa Foundation and the Limahuli Garden and Preserve, which lies just a little further north of Kobayashi's farm on Kaua'i's North Shore. Hawai'i's grassroots movement against the biotech farms and industrial agriculture finds much strength in this ancient agrarian history.
While it's unlikely that the islands can completely revert back to the ahupua'a system, it does offer a model of self-sufficiency that can be emulated, says environmental lawyer and author Claire Hope Cummings. "Most of the country has this mix of the means needed for local food and fuel production, and a choice of models," Cummings writes in her book Uncertain Peril: Genetic Engineering and the Future of Seeds. "But very few places have the needed leadership and proven ways to go about creating our ideal of diverse and locally controlled economies." Hawai'i, she says, is one of them.
Like Cummings, many farming experts and food activists say Hawai'i has to look beyond its colonial history to find the way forward to a food-secure state. The kind of agricultural model they are looking back to, and would like to see take root in Hawai'i, is gaining increasing international support.
A large body of scientific research – including studies by nonpartisan organizations such as the National Academies of Sciences, the United Nations Committee on Trade and Development, and the lesser-known, but hugely important, International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD) – indicates that the best way to ensure food production as the world's population grows (and its climate changes) is by transitioning from the industrial, monocrop model to smaller, biologically diversified, agroecological systems that have proven to be better at addressing the challenges of food sovereignty, preserving biodiversity, and reducing poverty.
In fact, such food systems are already feeding most of the world. According to a 2012 report by the Canadian research and advocacy organization, ETC Group, at least 70 percent of the food the world consumes every year is grown by small-scale rural and urban farmers, while industrial farming, which gets most of the attention, land, and R&D dollars, actually produces only about 30 percent of the world's food. "Our 70 percent estimate is inadvertently corroborated by the fertilizer industry who worry that somewhere between 40 per cent and 60 per cent of the world's food is grown without their synthetic chemicals," notes Pat Mooney, the group's co-founder and executive director.
Unfortunately, research and development related to diversified farming systems receives minimal funding. (In the U.S., it gets less than two percent of public agricultural research funding.) Hawai'i University's Albie Miles argues that this neglect has led to a "knowledge gap" that makes it easy for Big Ag supporters to cite a "yield gap" between agroecologial and industrial food production. "The estimated 10 to 15 percent yield gap has to be understood in the context of historic underfunding of crop development using organic and agroecological farming methods," he says. "Even with a small investment into these alternative methods, we'd be able to close the yield gap." Miles believes that if the U.S. Department of Agriculture shifted its focus toward research and education in agroecology and biologically diversified farming systems, the potential to address global resource challenges would be enormous.
The state of Hawai'i came pretty close to making that shift on its own just two decades ago. When the plantation economy crashed in the nineties, the state agriculture department considered replacing the plantations with a more community-friendly model that included small farms growing diverse crops.
"Back then the University of Hawai'i's agricultural extension agents would come by and say that we were going into diversified ag and truck farming and that they were going to provide us with the training and support to make that transition. But that never happened," says Walter Ritte, a veteran Hawaiian political and environmental activist based in Molakai. Instead, the governor at the time, Ben Cayetano, began courting the biotech seed industry. "All of a sudden the best lands were being given to these big chemical companies and we were back to industrial ag again," Ritte says.
Most of these companies produce commodity crops, mainly genetically engineered seeds, which get shipped to the U.S. mainland and overseas, leaving the islands heavily dependent on food imports.
"Everyone realizes that Hawai'i is in an incredibly risky situation in terms of food security," Miles says, referring to reports that show that in case of a disruption in shipping the state's inventory of fresh produce would feed Hawaiians for no more than 10 days. But, he says, there's clearly a way out of this precarious position that could also create jobs and sustain the local economy. A recent Hawai'i State University study estimates that replacing just 10 percent of imported food with locally grown food would create about 2,300 jobs (about the same number that the seed industry provides) and keep $313 million circulating within Hawai'i's economy. Miles says the state government needs to make "some serious choices" about its agriculture sector and needs to start removing the "structural obstacles" in the way of small, diversified farms.
The obstacles aren't small, either. For starters, there's the problem of providing potential smallholders access to land. Much of the state's 280,000 acres of arable agricultural land belongs to big trusts set up by erstwhile plantation barons and Hawaiian royal families who prefer the security of leasing out or selling large parcels rather than divvying their land up in five to 10 acre (or smaller) sections. They can't really be blamed for that either, given the massive property tax burden that they have to bear. (Kobayashi says a possible solution could be giving landowners some kind of tax incentive for taking a chance on new farmers.)
Then there's the issue of finding enough people willing to take up farming in the first place – a core problem facing the agricultural sector worldwide. Scott Enright, the chair of the Hawai'i Board of Agriculture, told me there simply weren't enough people in Hawai'i who were interested in taking up farming, or who had the basic knowhow in the first place. "But that said, we are looking to open up land in Kehaka [in Kaua'i] for agriculturalists. We'll see who steps forward," he says.
Farming advocates counter that the onus is on the state to invest time and money in teaching Hawaiians how to farm. "When the plantations closed, about 200 farmers were given two acres of land [each] to cultivate, but they weren't given full support. We didn't show them how to farm. So after a few years they gave up," says Hector Valenzuela, a crop scientist at Hawai'i University. "Even at the [state-run] university, we diverted our attention to GMOs. Crop scientists shut themselves up in labs when they should have been in the fields, showing farmers how to grow food," he says. "The hardest thing to do is to convince somebody to start farming, so when one decides to do so we have to help them succeed."
Back at Waiole Farm, Kobayashi says that it is pretty clear Hawai'i needs to start the transition with some rulemaking. "I don't know how to put it all together, but that's what we want to work on... It's quite a big complex issue, but we've just got to start chipping away."
This article is part of "What The Fork!?! Corporations and Democracy," a collaborative media effort investigating corporate control of our democracy and our dinner plates, and was first published by Earth Island Journal. Articles and radio pieces combine work of Making Contact, The Progressive, the Center for Media and Democracy (publisher of ALECexposed.org), and Food Democracy Now, along with reporting from Earth Island Journal, Grist, and Cascadia Times. Made possible in part by the Voqal Fund. Read stories and take action at wtfcorporations.com, and follow #wtfcorps and #BigAg on Twitter and Facebook.
Maureen Nandini Mitra is Managing Editor of Earth Island Journal. In addition to her work at the Journal, Mitra writes for several other magazines and online publications in the US and India. A journalism graduate from Columbia University, her work has appeared in the San Francisco Public Press, The New Internationalist, Sueddeutsche Zeitung, The Caravan and Down to Earth. The photo above is by Ian Umeda.
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text:
BBC: New Study Links Mild MH Conditions and Mortality
Mild Mental Illness 'Raises Risk of Premature Death'
By Emily Selvadurai Health reporter, BBC News online July 31, 2012
People with mild mental illnesses such as anxiety or depression are more likely to die early, say researchers.
They looked at the premature deaths from conditions such as heart disease and cancer of 68,000 people in England.
The research suggested low level distress raised the risk by 16%, once lifestyle factors such as drinking and smoking were taken into account.
More serious problems increased it by 67%, the University College London and Edinburgh University team said.
The risk among those with severe mental health problems is already well documented.
But researchers said the finding among those with milder cases - thought to be one in every four people - was concerning, as many would be undiagnosed.
The Wellcome Trust-funded study, published in the British Medical Journal, looked at data over 10 years and matched it to information on death certificates.
This is the largest study so far to show an association between psychological distress and death, according to scientists.
Lead author Dr Tom Russ said: "The fact that an increased risk of mortality was evident, even at low levels of psychological distress, should prompt research into whether treatment of these very common, minor symptoms can modify this increased risk of death."
John Williams, head of neuroscience and mental health at the Wellcome Trust, said: "This study highlights the need to ensure they have access to appropriate health care and advice so that they can take steps to improve the outcome of their illness."
Paul Jenkins, chief executive of the charity Rethink, said: "Sadly, these findings do not come as a surprise.
"While this study looks at depression and anxiety, people with severe mental illnesses such as bipolar disorder and schizophrenia die, on average, 20 years earlier than the rest of us. It's an absolute scandal.
"There is a huge lack of awareness amongst health professionals about the increased risk of physical illness for this group, which means people are dying needlessly every day."
Marjorie Wallace, the chief executive of the mental health charity SANE, said: "Even what may be considered mild depression can cut short a person's life, not only through the use of alcohol, cigarettes and other substances, but by directly affecting the recovery from physical illnesses such as heart disease.
"The debilitating effects on a person's life can lead them to neglect themselves and their management of long-term conditions such as diabetes or cancer."
http://www.bbc.co.uk/news/health-19061271
Study Links Mild Mental Illness and Early Death
by The Press Association August 3, 2012
Sufferers of mild mental illnesses have an increased risk of dying earlier, according to research published in the British Medical Journal.
People who have anxiety or depression were more likely to die from premature death conditions such as heart disease and cancer.
The Wellcome Trust-funded study, looked at the records of 68,000 people in England and found that low level distress increased the risk of premature death by 16%, even when lifestyle factors were taken into consideration.
The effect of more severe mental health problems on life expectancy has previously been well-researched and the University College London and Edinburgh University team's findings matched previous findings.
They found that severe mental illness increased the risk of early death by 67%. The research is believed to be the largest study to find a link between psychological distress and premature death.
But scientists said that the increased risk found in those with milder cases, which is thought to be one out of every four people, was concerning, as these illnesses were more likely to go undiagnosed.
The researchers studied 10 years worth of data and matched it to the cause of death given on death certificates.
Lead author Dr Tom Russ said: "The fact that an increased risk of mortality was evident, even at low levels of psychological distress, should prompt research into whether treatment of these very common, minor symptoms can modify this increased risk of death."
Russ T C et al (2012) Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studies. BMJ. Published online 31 July 2012.
http://www.nursingtimes.net/nursing-practice/clinical-zones/mental-health/study-links-mild-mental-illness-and-early-death/5047887.article
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text:
/* Generated by camel build tools - do NOT edit this file! */
package org.apache.camel.main;

import org.apache.camel.CamelContext;
import org.apache.camel.spi.GeneratedPropertyConfigurer;
import org.apache.camel.main.MainConfigurationProperties;

/**
 * Generated by camel build tools - do NOT edit this file!
 */
@SuppressWarnings("unchecked")
public class MainConfigurationPropertiesConfigurer extends org.apache.camel.support.component.PropertyConfigurerSupport implements GeneratedPropertyConfigurer {

    @Override
    public boolean configure(CamelContext camelContext, Object obj, String name, Object value, boolean ignoreCase) {
        org.apache.camel.main.MainConfigurationProperties target = (org.apache.camel.main.MainConfigurationProperties) obj;
        switch (ignoreCase ? name.toLowerCase() : name) {
        case "allowaddingnewroutes":
        case "AllowAddingNewRoutes": target.setAllowAddingNewRoutes(property(camelContext, boolean.class, value)); return true;
        case "allowuseoriginalmessage":
        case "AllowUseOriginalMessage": target.setAllowUseOriginalMessage(property(camelContext, boolean.class, value)); return true;
        case "autoconfigurationenabled":
        case "AutoConfigurationEnabled": target.setAutoConfigurationEnabled(property(camelContext, boolean.class, value)); return true;
        case "autoconfigurationenvironmentvariablesenabled":
        case "AutoConfigurationEnvironmentVariablesEnabled": target.setAutoConfigurationEnvironmentVariablesEnabled(property(camelContext, boolean.class, value)); return true;
        case "autoconfigurationfailfast":
        case "AutoConfigurationFailFast": target.setAutoConfigurationFailFast(property(camelContext, boolean.class, value)); return true;
        case "autoconfigurationlogsummary":
        case "AutoConfigurationLogSummary": target.setAutoConfigurationLogSummary(property(camelContext, boolean.class, value)); return true;
        case "autostartup":
        case "AutoStartup": target.setAutoStartup(property(camelContext, boolean.class, value)); return true;
        case "autowirecomponentproperties":
        case "AutowireComponentProperties": target.setAutowireComponentProperties(property(camelContext, boolean.class, value)); return true;
        case "autowirecomponentpropertiesallowprivatesetter":
        case "AutowireComponentPropertiesAllowPrivateSetter": target.setAutowireComponentPropertiesAllowPrivateSetter(property(camelContext, boolean.class, value)); return true;
        case "autowirecomponentpropertiesdeep":
        case "AutowireComponentPropertiesDeep": target.setAutowireComponentPropertiesDeep(property(camelContext, boolean.class, value)); return true;
        case "autowirecomponentpropertiesnonnullonly":
        case "AutowireComponentPropertiesNonNullOnly": target.setAutowireComponentPropertiesNonNullOnly(property(camelContext, boolean.class, value)); return true;
        case "backlogtracing":
        case "BacklogTracing": target.setBacklogTracing(property(camelContext, boolean.class, value)); return true;
        case "beanintrospectionextendedstatistics":
        case "BeanIntrospectionExtendedStatistics": target.setBeanIntrospectionExtendedStatistics(property(camelContext, boolean.class, value)); return true;
        case "beanintrospectionlogginglevel":
        case "BeanIntrospectionLoggingLevel": target.setBeanIntrospectionLoggingLevel(property(camelContext, org.apache.camel.LoggingLevel.class, value)); return true;
        case "caseinsensitiveheaders":
        case "CaseInsensitiveHeaders": target.setCaseInsensitiveHeaders(property(camelContext, boolean.class, value)); return true;
        case "clearmodelreferences":
        case "ClearModelReferences": target.setClearModelReferences(property(camelContext, boolean.class, value)); return true;
        case "consumertemplatecachesize":
        case "ConsumerTemplateCacheSize": target.setConsumerTemplateCacheSize(property(camelContext, int.class, value)); return true;
        case "durationhitexitcode":
        case "DurationHitExitCode": target.setDurationHitExitCode(property(camelContext, int.class, value)); return true;
        case "durationmaxidleseconds":
        case "DurationMaxIdleSeconds": target.setDurationMaxIdleSeconds(property(camelContext, int.class, value)); return true;
        case "durationmaxmessages":
        case "DurationMaxMessages": target.setDurationMaxMessages(property(camelContext, int.class, value)); return true;
        case "durationmaxseconds":
        case "DurationMaxSeconds": target.setDurationMaxSeconds(property(camelContext, int.class, value)); return true;
        case "endpointbasicpropertybinding":
        case "EndpointBasicPropertyBinding": target.setEndpointBasicPropertyBinding(property(camelContext, boolean.class, value)); return true;
        case "endpointbridgeerrorhandler":
        case "EndpointBridgeErrorHandler": target.setEndpointBridgeErrorHandler(property(camelContext, boolean.class, value)); return true;
        case "endpointlazystartproducer":
        case "EndpointLazyStartProducer": target.setEndpointLazyStartProducer(property(camelContext, boolean.class, value)); return true;
        case "endpointruntimestatisticsenabled":
        case "EndpointRuntimeStatisticsEnabled": target.setEndpointRuntimeStatisticsEnabled(property(camelContext, boolean.class, value)); return true;
        case "fileconfigurations":
        case "FileConfigurations": target.setFileConfigurations(property(camelContext, java.lang.String.class, value)); return true;
        case "hangupinterceptorenabled":
        case "HangupInterceptorEnabled": target.setHangupInterceptorEnabled(property(camelContext, boolean.class, value)); return true;
        case "inflightrepositorybrowseenabled":
        case "InflightRepositoryBrowseEnabled": target.setInflightRepositoryBrowseEnabled(property(camelContext, boolean.class, value)); return true;
        case "javaroutesexcludepattern":
        case "JavaRoutesExcludePattern": target.setJavaRoutesExcludePattern(property(camelContext, java.lang.String.class, value)); return true;
        case "javaroutesincludepattern":
        case "JavaRoutesIncludePattern": target.setJavaRoutesIncludePattern(property(camelContext, java.lang.String.class, value)); return true;
        case "jmxcreateconnector":
        case "JmxCreateConnector": target.setJmxCreateConnector(property(camelContext, boolean.class, value)); return true;
        case "jmxenabled":
        case "JmxEnabled": target.setJmxEnabled(property(camelContext, boolean.class, value)); return true;
        case "jmxmanagementnamepattern":
        case "JmxManagementNamePattern": target.setJmxManagementNamePattern(property(camelContext, java.lang.String.class, value)); return true;
        case "jmxmanagementstatisticslevel":
        case "JmxManagementStatisticsLevel": target.setJmxManagementStatisticsLevel(property(camelContext, org.apache.camel.ManagementStatisticsLevel.class, value)); return true;
        case "loadtypeconverters":
        case "LoadTypeConverters": target.setLoadTypeConverters(property(camelContext, boolean.class, value)); return true;
        case "logdebugmaxchars":
        case "LogDebugMaxChars": target.setLogDebugMaxChars(property(camelContext, int.class, value)); return true;
        case "logexhaustedmessagebody":
        case "LogExhaustedMessageBody": target.setLogExhaustedMessageBody(property(camelContext, boolean.class, value)); return true;
        case "logmask":
        case "LogMask": target.setLogMask(property(camelContext, boolean.class, value)); return true;
        case "mdcloggingkeyspattern":
        case "MdcLoggingKeysPattern": target.setMdcLoggingKeysPattern(property(camelContext, java.lang.String.class, value)); return true;
        case "messagehistory":
        case "MessageHistory": target.setMessageHistory(property(camelContext, boolean.class, value)); return true;
        case "name":
        case "Name": target.setName(property(camelContext, java.lang.String.class, value)); return true;
        case "packagescanroutebuilders":
        case "PackageScanRouteBuilders": target.setPackageScanRouteBuilders(property(camelContext, java.lang.String.class, value)); return true;
        case "producertemplatecachesize":
        case "ProducerTemplateCacheSize": target.setProducerTemplateCacheSize(property(camelContext, int.class, value)); return true;
        case "routefilterexcludepattern":
        case "RouteFilterExcludePattern": target.setRouteFilterExcludePattern(property(camelContext, java.lang.String.class, value)); return true;
        case "routefilterincludepattern":
        case "RouteFilterIncludePattern": target.setRouteFilterIncludePattern(property(camelContext, java.lang.String.class, value)); return true;
        case "routescollectorenabled":
        case "RoutesCollectorEnabled": target.setRoutesCollectorEnabled(property(camelContext, boolean.class, value)); return true;
        case "shutdownloginflightexchangesontimeout":
        case "ShutdownLogInflightExchangesOnTimeout": target.setShutdownLogInflightExchangesOnTimeout(property(camelContext, boolean.class, value)); return true;
        case "shutdownnowontimeout":
        case "ShutdownNowOnTimeout": target.setShutdownNowOnTimeout(property(camelContext, boolean.class, value)); return true;
        case "shutdownroutesinreverseorder":
        case "ShutdownRoutesInReverseOrder": target.setShutdownRoutesInReverseOrder(property(camelContext, boolean.class, value)); return true;
        case "shutdownsuppressloggingontimeout":
        case "ShutdownSuppressLoggingOnTimeout": target.setShutdownSuppressLoggingOnTimeout(property(camelContext, boolean.class, value)); return true;
        case "shutdowntimeout":
        case "ShutdownTimeout": target.setShutdownTimeout(property(camelContext, int.class, value)); return true;
        case "streamcachinganyspoolrules":
        case "StreamCachingAnySpoolRules": target.setStreamCachingAnySpoolRules(property(camelContext, boolean.class, value)); return true;
        case "streamcachingbuffersize":
        case "StreamCachingBufferSize": target.setStreamCachingBufferSize(property(camelContext, int.class, value)); return true;
        case "streamcachingenabled":
        case "StreamCachingEnabled": target.setStreamCachingEnabled(property(camelContext, boolean.class, value)); return true;
        case "streamcachingremovespooldirectorywhenstopping":
        case "StreamCachingRemoveSpoolDirectoryWhenStopping": target.setStreamCachingRemoveSpoolDirectoryWhenStopping(property(camelContext, boolean.class, value)); return true;
        case "streamcachingspoolcipher":
        case "StreamCachingSpoolCipher": target.setStreamCachingSpoolCipher(property(camelContext, java.lang.String.class, value)); return true;
        case "streamcachingspooldirectory":
        case "StreamCachingSpoolDirectory": target.setStreamCachingSpoolDirectory(property(camelContext, java.lang.String.class, value)); return true;
        case "streamcachingspoolthreshold":
        case "StreamCachingSpoolThreshold": target.setStreamCachingSpoolThreshold(property(camelContext, long.class, value)); return true;
        case "streamcachingspoolusedheapmemorylimit":
        case "StreamCachingSpoolUsedHeapMemoryLimit": target.setStreamCachingSpoolUsedHeapMemoryLimit(property(camelContext, java.lang.String.class, value)); return true;
        case "streamcachingspoolusedheapmemorythreshold":
        case "StreamCachingSpoolUsedHeapMemoryThreshold": target.setStreamCachingSpoolUsedHeapMemoryThreshold(property(camelContext, int.class, value)); return true;
        case "streamcachingstatisticsenabled":
        case "StreamCachingStatisticsEnabled": target.setStreamCachingStatisticsEnabled(property(camelContext, boolean.class, value)); return true;
        case "threadnamepattern":
        case "ThreadNamePattern": target.setThreadNamePattern(property(camelContext, java.lang.String.class, value)); return true;
        case "tracing":
        case "Tracing": target.setTracing(property(camelContext, boolean.class, value)); return true;
        case "tracingpattern":
        case "TracingPattern": target.setTracingPattern(property(camelContext, java.lang.String.class, value)); return true;
        case "usebreadcrumb":
        case "UseBreadcrumb": target.setUseBreadcrumb(property(camelContext, boolean.class, value)); return true;
        case "usedatatype":
        case "UseDataType": target.setUseDataType(property(camelContext, boolean.class, value)); return true;
        case "usemdclogging":
        case "UseMdcLogging": target.setUseMdcLogging(property(camelContext, boolean.class, value)); return true;
        case "xmlrests":
        case "XmlRests": target.setXmlRests(property(camelContext, java.lang.String.class, value)); return true;
        case "xmlroutes":
        case "XmlRoutes": target.setXmlRoutes(property(camelContext, java.lang.String.class, value)); return true;
        default: return false;
        }
    }

}


text:
Philip Beamish
BEAMISH BODYMIND BALANCING
a bit about Beamish:
Registered body technique: Beamish Bodymind Balancing
Uniquely developed and designed by Mr. Beamish for dancers and non-dancers alike, as an aid to dance technique and rehabilitation from dance and sport injuries. A gentle movement technique which reshapes and revitalises the whole body through a series of exercises using body weight and isometric pressure to obtain maximum elasticity, line and strength.
Former soloist with Atterballeto, Beamish danced all over Europe with many major ballet companies, and toured extensively internationally with La Scala Opera House. He was Alessandra Ferri's personal trainer and coach for thirteen years until her retirement in 2007. He travelled with her all over the world, working constantly with her and all her partners in class and rehearsals for all her major roles. Other major stars who have solicited Beamish's training include Evelyn Hart, Maximilian Guerra, Tamara Rojo, Manuel José Carreño, Robert Tewsley, Roberto Bolle, and Polina Semionova. His protégés have won medals at the major competitions: Varna, Helsinki, Jackson, and Lausanne. Among the companies with which Beamish has been associated are: La Scala Ballet, English National Ballet, NDT, Ballet de Nancy, Finnish National Ballet, The Royal Winnipeg Ballet, The National Ballet of Canada and Companía Nacional de Mexico, Teatro Colón in Argentina.
© 2023 by Barbara Rey.
info@northwestdanceintensive.com


text:
Q: MultiClass Image Segmentation I have trained a Unet model for multiclass image segmentation. I have four class and this is code:
def Unet(input_shape=(128,128, 3),
                 num_classes=4):
    inputs = Input(shape=input_shape)

    down1 = Conv2D(64, (3, 3), padding='same')(inputs)
    down1 = BatchNormalization()(down1)
    down1 = Activation('relu')(down1)
    down1 = Conv2D(64, (3, 3), padding='same')(down1)
    down1 = BatchNormalization()(down1)
    down1 = Activation('relu')(down1)
    down1_pool = MaxPooling2D((2, 2), strides=(2, 2))(down1)

    down2 = Conv2D(128, (3, 3), padding='same')(down1_pool)
    down2 = BatchNormalization()(down2)
    down2 = Activation('relu')(down2)
    down2 = Conv2D(128, (3, 3), padding='same')(down2)
    down2 = BatchNormalization()(down2)
    down2 = Activation('relu')(down2)
    down2_pool = MaxPooling2D((2, 2), strides=(2, 2))(down2)

    down3 = Conv2D(256, (3, 3), padding='same')(down2_pool)
    down3 = BatchNormalization()(down3)
    down3 = Activation('relu')(down3)
    down3 = Conv2D(256, (3, 3), padding='same')(down3)
    down3 = BatchNormalization()(down3)
    down3 = Activation('relu')(down3)
    down3_pool = MaxPooling2D((2, 2), strides=(2, 2))(down3)

    down4 = Conv2D(512, (3, 3), padding='same')(down3_pool)
    down4 = BatchNormalization()(down4)
    down4 = Activation('relu')(down4)
    down4 = Conv2D(512, (3, 3), padding='same')(down4)
    down4 = BatchNormalization()(down4)
    down4 = Activation('relu')(down4)
    down4_pool = MaxPooling2D((2, 2), strides=(2, 2))(down4)

    center = Conv2D(1024, (3, 3), padding='same')(down4_pool)
    center = BatchNormalization()(center)
    center = Activation('relu')(center)
    center = Conv2D(1024, (3, 3), padding='same')(center)
    center = BatchNormalization()(center)
    center = Activation('relu')(center)

    up4 = UpSampling2D((2, 2))(center)
    up4 = concatenate([down4, up4], axis=3)
    up4 = Conv2D(512, (3, 3), padding='same')(up4)
    up4 = BatchNormalization()(up4)
    up4 = Activation('relu')(up4)
    up4 = Conv2D(512, (3, 3), padding='same')(up4)
    up4 = BatchNormalization()(up4)
    up4 = Activation('relu')(up4)
    up4 = Conv2D(512, (3, 3), padding='same')(up4)
    up4 = BatchNormalization()(up4)
    up4 = Activation('relu')(up4)

    up3 = UpSampling2D((2, 2))(up4)
    up3 = concatenate([down3, up3], axis=3)
    up3 = Conv2D(256, (3, 3), padding='same')(up3)
    up3 = BatchNormalization()(up3)
    up3 = Activation('relu')(up3)
    up3 = Conv2D(256, (3, 3), padding='same')(up3)
    up3 = BatchNormalization()(up3)
    up3 = Activation('relu')(up3)
    up3 = Conv2D(256, (3, 3), padding='same')(up3)
    up3 = BatchNormalization()(up3)
    up3 = Activation('relu')(up3)

    up2 = UpSampling2D((2, 2))(up3)
    up2 = concatenate([down2, up2], axis=3)
    up2 = Conv2D(128, (3, 3), padding='same')(up2)
    up2 = BatchNormalization()(up2)
    up2 = Activation('relu')(up2)
    up2 = Conv2D(128, (3, 3), padding='same')(up2)
    up2 = BatchNormalization()(up2)
    up2 = Activation('relu')(up2)
    up2 = Conv2D(128, (3, 3), padding='same')(up2)
    up2 = BatchNormalization()(up2)
    up2 = Activation('relu')(up2)

    up1 = UpSampling2D((2, 2))(up2)
    up1 = concatenate([down1, up1], axis=3)
    up1 = Conv2D(64, (3, 3), padding='same')(up1)
    up1 = BatchNormalization()(up1)
    up1 = Activation('relu')(up1)
    up1 = Conv2D(64, (3, 3), padding='same')(up1)
    up1 = BatchNormalization()(up1)
    up1 = Activation('relu')(up1)
    up1 = Conv2D(64, (3, 3), padding='same')(up1)
    up1 = BatchNormalization()(up1)
    up1 = Activation('relu')(up1)

    classify = Conv2D(num_classes, (1, 1), activation='softmax')(up1)

    model = Model(inputs=inputs, outputs=classify)
    lr = 1e-4
    model.compile(optimizer=tf.keras.optimizers.Adam(lr), loss="sparse_categorical_crossentropy", metrics=['accuracy'])

    return model

model = Unet()

Model summary is
Layer (type)                    Output Shape         Param #     Connected to
==================================================================================================
input_4 (InputLayer)            [(None, 128, 128, 3) 0
__________________________________________________________________________________________________
conv2d_69 (Conv2D)              (None, 128, 128, 64) 1792        input_4[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 128, 128, 64) 256         conv2d_69[0][0]
__________________________________________________________________________________________________
activation_66 (Activation)      (None, 128, 128, 64) 0           batch_normalization_66[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D)              (None, 128, 128, 64) 36928       activation_66[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 128, 128, 64) 256         conv2d_70[0][0]
__________________________________________________________________________________________________
activation_67 (Activation)      (None, 128, 128, 64) 0           batch_normalization_67[0][0]
__________________________________________________________________________________________________
max_pooling2d_12 (MaxPooling2D) (None, 64, 64, 64)   0           activation_67[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D)              (None, 64, 64, 128)  73856       max_pooling2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 64, 64, 128)  512         conv2d_71[0][0]
__________________________________________________________________________________________________
activation_68 (Activation)      (None, 64, 64, 128)  0           batch_normalization_68[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D)              (None, 64, 64, 128)  147584      activation_68[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 64, 64, 128)  512         conv2d_72[0][0]
__________________________________________________________________________________________________
activation_69 (Activation)      (None, 64, 64, 128)  0           batch_normalization_69[0][0]
__________________________________________________________________________________________________
max_pooling2d_13 (MaxPooling2D) (None, 32, 32, 128)  0           activation_69[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D)              (None, 32, 32, 256)  295168      max_pooling2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_70 (BatchNo (None, 32, 32, 256)  1024        conv2d_73[0][0]
__________________________________________________________________________________________________
activation_70 (Activation)      (None, 32, 32, 256)  0           batch_normalization_70[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D)              (None, 32, 32, 256)  590080      activation_70[0][0]
__________________________________________________________________________________________________
batch_normalization_71 (BatchNo (None, 32, 32, 256)  1024        conv2d_74[0][0]
__________________________________________________________________________________________________
activation_71 (Activation)      (None, 32, 32, 256)  0           batch_normalization_71[0][0]
__________________________________________________________________________________________________
max_pooling2d_14 (MaxPooling2D) (None, 16, 16, 256)  0           activation_71[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D)              (None, 16, 16, 512)  1180160     max_pooling2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 16, 16, 512)  2048        conv2d_75[0][0]
__________________________________________________________________________________________________
activation_72 (Activation)      (None, 16, 16, 512)  0           batch_normalization_72[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D)              (None, 16, 16, 512)  2359808     activation_72[0][0]
__________________________________________________________________________________________________
batch_normalization_73 (BatchNo (None, 16, 16, 512)  2048        conv2d_76[0][0]
__________________________________________________________________________________________________
activation_73 (Activation)      (None, 16, 16, 512)  0           batch_normalization_73[0][0]
__________________________________________________________________________________________________
max_pooling2d_15 (MaxPooling2D) (None, 8, 8, 512)    0           activation_73[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D)              (None, 8, 8, 1024)   4719616     max_pooling2d_15[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 8, 8, 1024)   4096        conv2d_77[0][0]
__________________________________________________________________________________________________
activation_74 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_74[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D)              (None, 8, 8, 1024)   9438208     activation_74[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 8, 8, 1024)   4096        conv2d_78[0][0]
__________________________________________________________________________________________________
activation_75 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_75[0][0]
__________________________________________________________________________________________________
up_sampling2d_12 (UpSampling2D) (None, 16, 16, 1024) 0           activation_75[0][0]
__________________________________________________________________________________________________
concatenate_12 (Concatenate)    (None, 16, 16, 1536) 0           activation_73[0][0]
                                                                 up_sampling2d_12[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D)              (None, 16, 16, 512)  7078400     concatenate_12[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 16, 16, 512)  2048        conv2d_79[0][0]
__________________________________________________________________________________________________
activation_76 (Activation)      (None, 16, 16, 512)  0           batch_normalization_76[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D)              (None, 16, 16, 512)  2359808     activation_76[0][0]
__________________________________________________________________________________________________
batch_normalization_77 (BatchNo (None, 16, 16, 512)  2048        conv2d_80[0][0]
__________________________________________________________________________________________________
activation_77 (Activation)      (None, 16, 16, 512)  0           batch_normalization_77[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D)              (None, 16, 16, 512)  2359808     activation_77[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 16, 16, 512)  2048        conv2d_81[0][0]
__________________________________________________________________________________________________
activation_78 (Activation)      (None, 16, 16, 512)  0           batch_normalization_78[0][0]
__________________________________________________________________________________________________
up_sampling2d_13 (UpSampling2D) (None, 32, 32, 512)  0           activation_78[0][0]
__________________________________________________________________________________________________
concatenate_13 (Concatenate)    (None, 32, 32, 768)  0           activation_71[0][0]
                                                                 up_sampling2d_13[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D)              (None, 32, 32, 256)  1769728     concatenate_13[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 32, 32, 256)  1024        conv2d_82[0][0]
__________________________________________________________________________________________________
activation_79 (Activation)      (None, 32, 32, 256)  0           batch_normalization_79[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D)              (None, 32, 32, 256)  590080      activation_79[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 32, 32, 256)  1024        conv2d_83[0][0]
__________________________________________________________________________________________________
activation_80 (Activation)      (None, 32, 32, 256)  0           batch_normalization_80[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D)              (None, 32, 32, 256)  590080      activation_80[0][0]
__________________________________________________________________________________________________
batch_normalization_81 (BatchNo (None, 32, 32, 256)  1024        conv2d_84[0][0]
__________________________________________________________________________________________________
activation_81 (Activation)      (None, 32, 32, 256)  0           batch_normalization_81[0][0]
__________________________________________________________________________________________________
up_sampling2d_14 (UpSampling2D) (None, 64, 64, 256)  0           activation_81[0][0]
__________________________________________________________________________________________________
concatenate_14 (Concatenate)    (None, 64, 64, 384)  0           activation_69[0][0]
                                                                 up_sampling2d_14[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D)              (None, 64, 64, 128)  442496      concatenate_14[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 64, 64, 128)  512         conv2d_85[0][0]
__________________________________________________________________________________________________
activation_82 (Activation)      (None, 64, 64, 128)  0           batch_normalization_82[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D)              (None, 64, 64, 128)  147584      activation_82[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 64, 64, 128)  512         conv2d_86[0][0]
__________________________________________________________________________________________________
activation_83 (Activation)      (None, 64, 64, 128)  0           batch_normalization_83[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D)              (None, 64, 64, 128)  147584      activation_83[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 64, 64, 128)  512         conv2d_87[0][0]
__________________________________________________________________________________________________
activation_84 (Activation)      (None, 64, 64, 128)  0           batch_normalization_84[0][0]
__________________________________________________________________________________________________
up_sampling2d_15 (UpSampling2D) (None, 128, 128, 128 0           activation_84[0][0]
__________________________________________________________________________________________________
concatenate_15 (Concatenate)    (None, 128, 128, 192 0           activation_67[0][0]
                                                                 up_sampling2d_15[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D)              (None, 128, 128, 64) 110656      concatenate_15[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 128, 128, 64) 256         conv2d_88[0][0]
__________________________________________________________________________________________________
activation_85 (Activation)      (None, 128, 128, 64) 0           batch_normalization_85[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D)              (None, 128, 128, 64) 36928       activation_85[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 128, 128, 64) 256         conv2d_89[0][0]
__________________________________________________________________________________________________
activation_86 (Activation)      (None, 128, 128, 64) 0           batch_normalization_86[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D)              (None, 128, 128, 64) 36928       activation_86[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 128, 128, 64) 256         conv2d_90[0][0]
__________________________________________________________________________________________________
activation_87 (Activation)      (None, 128, 128, 64) 0           batch_normalization_87[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D)              (None, 128, 128, 4)  260         activation_87[0][0]
==================================================================================================
Total params: 34,540,932
Trainable params: 34,527,236
Non-trainable params: 13,696

I trained the model with my images and mask images. My question is how can I identify the class number when model predicts for test images. For example, the Model has predicted a test image 'imageabc1.png' and I must find different 4 classes mask belongs the image.  How can I do that?

A: As you are using softmax, the class number corresponds to the channel in the output of the network. Suppose you have predicted a training image:
pred = model.predict(training_image)

Class one is found as pred[:,:,:,0],
Class two is found as pred[:,:,:,1] ,
etc.

redpajama_set_name: RedPajamaStackExchange


Spread hummus on the bread. Place avocado, carrots, cabbage and cucumber in the 4 corners of the bread.
For Tahini Dressing. In a small bowl, whisk together tahini, garlic, water, olive oil, lemon juice and salt.
Top toast with pumpkin seeds and desired amount of Tahini Dressing.


text:
Are The Russo Brothers Teasing New Marvel Footage?
By Mike Reyes published 10 July 19
The Marvel Cinematic Universe has had one hell of a ride over the past couple of months, with Avengers: Endgame and Spider-Man: Far From Home closing out the third phase of their franchise's history. It's been an emotional, surprising ride, and in the wake of Peter Parker's recent adventures, the MCU is now perched at a point of mystery.
While it was previously speculated that Marvel Studios wouldn't be at San Diego Comic-Con, it was then confirmed that the studio would indeed be making a presentation. That's lead to quite an interesting turn, as while The Russo Brothers are done with their time in the MCU, they seem to be teasing new footage in the following, cryptic tweet:
The big clue that leads to this hypothesis is the fact that this tweet is made of two key components: text pointing to the date 7/19/19, and audio from a past Comic Con panel with The Russo Brothers.
In particular, it's audio from their 2017 San Diego Comic Con, in which Joe Russo told the Hall H audience of that particular con that, "there's no way in Hell that we are not going to show you some footage." After praising the fandom as the best in the world, Avengers: Infinity War was announced, and the footage began.
Digging back into the recent past of Marvel Studios, one of the first things that pops up is that time that our own Sean O'Connell heard from Kevin Feige himself that the only reason Marvel would go to Hall H was when the studio has "a lot of stuff to talk about or reveal."
Seeing as Kevin Feige then immediately said there was a lot to talk about, it was all but confirming that the studio would be showing up at the big room of the yearly celebration of fandom and its future. Though there is a bit of a caveat in that very same interview we just cited.
While San Diego Comic-Con is coming up, and there's a chance that Marvel Studios will debut some sort of footage to tease anything from the now in production Black Widow prequel to a potential logo/team portrait of the Asguardians of the Galaxy, there is another chance for Marvel to show off their potential wares.
Disney's proprietary D23 Expo is set to rock Anaheim in August, not too long after San Diego Comic Con. There might still be something of note during the Marvel panel at San Diego Comic Con, but the chances are that whatever is provided in San Diego will be a teaser for the bigger meal to come in Anaheim.
That being said, we all know that Marvel Studios, and The Russo Brothers, are masters of the tease. This most recent tweet from their official profile confirms that much, hands down. Whatever's coming down the road it not only feels like it'll be the first inklings towards Phase 4, but that material will more than likely be worth the wait.
San Diego Comic-Con gets off the ground next Thursday, but in the meantime, you true believers out there can see Spider-Man: Far From Home, which is currently in theaters.
If you're still hungry for MCU excitement past point, you can always revisit Avengers: Endgame, which is still running as part of its re-release campaign to potentially break the all-time box office grossing record.
Mike Reyes
CinemaBlend's James Bond (expert). Also versed in Large Scale Aggressors, time travel, and Guillermo del Toro. He fights for The User.
Michael B. Jordan Threw Lori Harvey A Fabulous Birthday Party He Didn't Attend, Is Creed 3 To Blame?
Lin-Manuel Miranda's Encanto Soundtrack Hit A Massive Milestone
Peter Dinklage Explains What It Felt Like To Constantly Be 'Offending' Game Of Thrones Fans
Looks Like Netflix Is Planning A Red Notice Sequel With A Twist
Mark Wahlberg Is Getting Into The Tequila Game, Reportedly Has A Fun Idea To Face Off Against The Rock And George Clooney


text:
2020 WAITLIST
DeepSlant
Drew Downfield
Harris Hits
Vandermeer's View
Texans App
Texans Top 100
Monday, Jul 15, 2019 05:39 PM
Texans win Best Overall Video Display for Gameday experience
Deepi Sidhu
Texans Insider and Lead Writer
The Houston Texans home game experience is the best in the NFL, thanks to their award-winning video production team.
At the 37th Annual IDEA Conference last week, the Texans won the Golden Matrix Award (GMA) for Best Overall Video Display among all NFL teams. Led by Gavin Gehrt, Executive Producer and Director of Video Production, Kenneth Perkins and Tom McGuigan who design and edit the motion graphics, and Director of Marketing Jackie Maldonado all help create the Texans Gameday experience, viewed on the 14,549 square feet of high-definition videoboard screens at NRG Stadium.
"One of the primary ways we engage and entertain our fans is through our videoboard production," Texans president Jamey Rootes said. "Gavin Gehrt and his team really sweat the details and are constantly looking for innovative ways to make Texans Gameday an exceptional experience for our fans. Their full commitment to excellence is a point of pride for our organization and I cannot wait to see what they have in store for our fans this season."
The Texans video production team has taken home the Best Overall Video Display award in four of the last seven years (2013, 2015, 2016, 2019). In his acceptance speech, Gehrt dedicated the award to the late Founder, Chairman and CEO Robert C. McNair (1937-2018).
Texans Top 100: Andre Johnson's clutch catch in 2008 win over Dolphins
DeAndre Hopkins is 1 of 4 players with 99 rating in Madden 20
Johnathan Joseph in London promoting American Football
Other teams that took home Best Overall Video Display in their respective sport were the Toronto Blue Jays, Miami Heat, Edmonton Oilers, Manitoba Moose, Philadelphia Union and Auburn University.
IDEA annually recognizes superior achievement throughout the large screen video and matrix display industry by awarding its Golden Matrix Awards (GMAs) at the annual IDEA conference. The purpose of the GMAs is to recognize artistic and technical excellence in the programming of large screen video and matrix displays located at stadiums, arenas, racetracks, convention centers and other public assembly facilities.
Daily Brew: Senior Bowl an opportunity to impress
One of the first major offseason items for NFL teams is a trip to Mobile, Alabama for the Reese's Senior Bowl.
How'd they do? Closer look at 2020 opponents' home and away marks
The Texans 2020 opponents have some interesting stats when it comes to their respective home and away records.
Daily Brew: D.J. Reader set to face free agency after big season
Coming off his best season statistically, D.J. Reader will become a free agent in March.
Daily Brew: Moving On
A season that ended earlier than the Texans wanted but one they look to build on.
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Dear Drew
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Security threats are now a fact of life in every country, but the various levels of alerts are also often related to incidents. It used to be red alert, its now red underwear alert. For Business Class passengers, it's the Calvin Klein Alert. What's clear is that security threats are more universal than McDonald's. Here's how some countries are coping.


Toxoplasmosis is a disease caused by the parasite Toxoplasma gondii, which can be found in garden soil and raw meat. Cats can get toxoplasma infection by killing and eating infected prey. The disease can also be passed on from cats to humans.
How Do Cats Get Toxoplasmosis?
Cats most often become carriers of toxoplasmosis by killing and eating wild animals who have been infected—a good reason not to let your cat outside to hunt! A cat may also contract the disease should he come into contact with an infected cat's feces. Once a cat is infected, the parasite multiplies in his intestines until immature eggs called oocysts are shed in his feces. Infected cats can shed oocysts for up to two weeks after initial infection.
What Are The Symptoms Of Toxoplasmosis in Cats?
Most cats become immune to the disease through exposure to the parasite. However, those who aren't already immune may have mild diarrhea and a loss of appetite; the disease can also affect a feline's lungs, liver and nervous system. Kittens exposed to the parasite while still in the womb are most vulnerable—and are more likely than adult cats to show symptoms.
What Should I Do If I Think My Cat Has Toxoplasmosis Gondii?
If you suspect your cat is carrying the parasite that causes toxoplasmosis, it's time to get him tested by your veterinarian. If he tests positive, it means he has been exposed to the disease but is unlikely to be shedding oocysts after an initial two-week period. If he tests negative, it means he has not been exposed and could still become infected and shed oocysts—but again only for two weeks.
Is There A Cure for Toxoplasmosis?
Antibiotics are available that can clear up most of the symptoms of toxoplasmosis. Although they do not kill the parasite, they can provide an effective treatment.
How Can People Catch Toxoplasmosis?
Can Humans Get Toxoplasmosis from Cats?
Fortunately, most people have been exposed to or infected by Toxoplasma and already have immunity to the disease. People with weakened immune systems run the greatest risk of contracting toxoplasmosis. If a woman is infected while pregnant, the growing fetus can also become infected. This can result in cysts in the fetus' brain, and can lead to developmental abnormalities, miscarriage or stillbirth. People with compromised immune systems are susceptible to a number of infections and should take the proper hygienic precautions to protect themselves against exposure to the disease.
What Are the Symptoms of Toxoplasmosis in Humans?
People who are affected by toxoplasmosis may have fever, shortness of breath and neurological problems, such as seizures and lack of coordination. Those in relatively good health will usually show no signs or simply have mild, flu-like symptoms.


text:
Arizona Coyotes select defenseman Emil Martinsen Lilleberg 107th overall
The Norwegian overager is the latest draft pick by the Coyotes.
By James Reeve@JamesRJReeve Jul 24, 2021, 12:14pm MST
Share All sharing options for: Arizona Coyotes select defenseman Emil Martinsen Lilleberg 107th overall
Photo by Roman Koksarov/picture alliance via Getty Images
With the 107th overall pick in the 2021 NHL Draft, the Arizona Coyotes selected overage defenseman Emil Martinsen Lilleberg.
The 20-year-old Norwegian joins the Coyotes organization after spending the past three seasons primarily playing in the Eliteserien, the top professional league of his home country.
With the 107th overall pick in the #NHLDraft, we've selected Emil Martinsen Lilleberg. pic.twitter.com/HnkNrmezkG
— Arizona Coyotes (@ArizonaCoyotes) July 24, 2021
The left-shooting defenseman has racked up 94 regular-season appearances at the professional level in Norway, with three goals and 18 total points while playing for Sparta Sarpsborg - also commonly known as the Sparta Warriors.
He was named the top rookie in the Eliteserien after the 2018/19 season and has grown to establish himself as an international-level player.
Having captained Team Norway at the World Junior Championships (Division 1A) during the 2019/20 season, he earned a place with the national team at the World Championships earlier this year - featuring in six games and scoring a single goal in a 5-1 loss to Germany.
The Sarpsborg native is set to continue his development over in Europe, signed to a season with IK Oskarshamn of the Swedish Hockey League (SHL), allowing him to jump up to a higher level.
Already older than many other players in the draft, Lilleberg has the ideal size for the professional game, standing at 6-foot-2, 207lbs, and could potentially remain in Sweden for the next two seasons - unless he impresses the Coyotes organization enough to be called over to North America earlier.
Coyotes Game 38 Recap: Coyotes score 3 in second, beat Devils 4-1 The Arizona Coyotes overcame a very rough start to beat the New Jersey Devils 4-1.


As the title of this article throws a question at you, how would you look at it? Is a Love Status and Love Quotes for Whatsapp really worthy to be uploaded on applications and social media websites? The answer is, yes, they are. Why are they worthy? We will explain it to you.
The worth of love status: Love Status, Quotes for Whatsapp in Hindi & English does have worth, and they play a big role in increasing affection. Let us do this proof through an example. Imagine you are married (for those who already are, there is obviously no need of imagining). You and your wife, both are working persons, but due to some reason, on a very normal day, you get an off few hours prior to your normal time, and you think of arranging special dinner before your wife is back home.
Obviously, when she sees all the set-up, she will get very happy and excited. But, have you ever imagined of filling her with curiosity before the surprise or already make her blush before she gets the surprise? Here comes in the role of the love status. It doesn't really matter if you steal a love status from the internet or you make it up (though making up will always be a better influence).
Send your wife repeated text messages at regular intervals with the Love Status, Quotes for Whatsapp in Hindi & English. This will already make her glow blush before the surprise or make her curious as to what suddenly happened to you. In anyways, when she returns home and gets the surprise, this entire feeling will be an enhanced one than before. So, this love status basically enhances her happiness and the love between you both.
बोलो ना? तेरे बिना जी नहीँ सकते हम… इसी बात का फायदा उठाते हो ना.
कई रिश्तों को परखा तो नतीजा एक ही निकला, जरूरत ही सब कुछ है, मुहब्बत कुछ नहीं होती.
TʊⓂ उपर वाले से दुअा ℳÃŇĞ रहीं हो… और HʊⓂ उपर वाले से ☞❥ Tʊʍɦξ .
तकलीफें तो हज़ारों हैं इस ज़माने में, बस कोई अपना नजऱ अंदाज़ करे तो बर्दाश्त नहीं होता!
न दो इल्जाम हमें की क्यों इतना घुरते है हम तुमे! जाकर उससे पूछो क्यों इनता हशीन बनाया तुमे!
यूं तो सब कुछ सलामत है तेरी दुनिया में ए खुदा. बस रिश्तें ही हैं जो अब टूटे टूटे से नजर आते हैं..
सबसे मीठा चुम्मन: सर पर; सबसे प्यारा चुम्मन: गालों पर; सबसे रोमांटिक चुम्मन: होंठों पर; और गरमा-गर्म चुम्मन: बाइक के सिलेंसर पर.
ज़िंदगी में कितनी हैं खुशियाँ, ज़िन्दगी में ग़म भी हैं कम क्या, मिल के ग़मों को रुलायें आओ ज़िन्दगी को हसाये.
ज़िन्दगी बहुत ख़ूबसूरत है, सब कहते थे जिस दिन तुझे देखा, यकीन भी हो गया!
जब मेने आप को पहली बार देखा तब मेरे दिल ने मेरे कान में कहा : ये ही हे वो!
मेरे बारे में इतना मत सोचना, दिल में आता हूँ, समज में नहीं!
आप को ये पता भी नहीं होगा के मेरा दिल कितना तेज़ धड़कता हैं आप के पास होने पर!
कामयाब जीबन के लिए एक ही व्यक्ति से बार बार प्यार करना!
मुमकिन हैं में खुद को भूल जाओ पर तुमको भूल ने की खता नहीं कर सकता!
यू हमारी गैर हाजरी में आहे न भरा करो WhatsApp बनना या गया के मैसेज भेजने के लिए सिर्फ Last Sean देखा न करो!
ज़रुरत है मुझे कुछ नए, नफरत करने वालों की, पुराने वाले तो अब चाहने लगे हैं मुझे !
बड़ी मुद्दत से चाहा है तुझे! बड़ी दुआओं से पाया है तुझे! तुझे भुलाने की सोचूं भी तो कैसे! किस्मत की लकीरों से चुराया है तुझे.
अगर कोई आप से सच्चा प्यार करता हैं तो वो आप को किसी भी हाल में छोड़ ता नहीं!
हाँ में सेल्फिश हो क्यों के में आप को किसी के साथ शेयर नहीं कर सकता!
धरती जन्नत ज़न्नत बन जाती हैं जब आप पास होते हो!
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