text:
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Author Archives: laurenrmoore
by laurenrmoore | January 3, 2016 · 8:32 pm
What FoodAnthropology is Reading Now: January 3rd Edition
January 3rd, 2016:
Happy New Year, FoodAnthropology readers! Like every December and January, the internet is ringing in the year with lists–lists of old things, lists of new things, lists of bests and worsts. The world of food is no exception. Here are a couple of the most interesting lists I've read in the past week, along with our usual selection of good reads:
First, EcoWatch published a list of "16 reasons 2016 will bring positive change to the global food system." They link to several interesting stories, and I learned (for example) that 2016 has been declared the International Year of Pulses, there was a Johns Hopkins University report linking animal product consumption to global climate change, and later this month the Global Forum for Food and Agriculture will host an international meeting focused on urban agriculture for food security.
NPR's The Salt reports that artificial ingredients are waning in popularity, food waste is a gaining attention, and foodborne illness remains a significant concern for Americans: The Year in Food: Artificial Out, Innovation In (and 2 more trends)
And the last list, for fun, comes from Whole Food's predictions of the top 7 foods of 2016, which includes alternative flours, fermented foods, and canned wine: Whole Foods predicts the biggest food trends of 2016
The New York Times featured a story about Spain's truffle industry, and efforts to increase Spanish demand for truffles: Spain Has Little Appetite for Truffles, but Plenty for the Truffle Trade
With stunning images, the New York Times also had a story about how farmers are shaping water policy in California: Farmers Try Political Force to Twist Open California's Taps
Changes in labor laws are shuttering cooperative grocers' work-for-food programs, which have been mainstays of co-op culture since the 1970s: Will Work for Food? Co-Op Programs End Amid Labor-Law Fears
The U.S. Army Institute of Environmental Medicine is recruiting participants for a study on how MREs (Meals, Ready to Eat) influence gut health. Army dietitians have created a special cookbook to help participants consume the "tasteless, if not bad" meals: U.S. Army wants you to eat MREs for 21 days straight
Al Jazeera reported on a study published in The Lancet Diabetes and Endocrinology stating that globally, sugar intake is increasing, and other nations are following US trends in their desire for added sugars: World's diet is getting sweeter, catching up with US
Today, Congress repealed a meat labeling law that had been in place in the US since 2002, and has been challenged by the meat industry since that time. Food and Water Watch described the bill as "a holiday gift to the meatpacking industry from Congress,"though only some segments of the meat industry will benefit from the change: US Repeals Meat Labeling Law After Trade Rulings Against It
Finally, Al Jazeera English released an interesting 25-minute video about Turkish cuisine in Istanbul, describing "how a new generation is keeping Turkey's centuries-old culinary traditions alive in a modern world": Istanbul: Turkish cuisine at a crossroads
As always, if you have a link you'd like to share in FoodAnthropology's weekly round up, please send it to LaurenRMoore@uky.edu.
Filed under anthropology
by laurenrmoore | December 30, 2015 · 12:02 am
What FoodAnthropology is Reading: December 29th Edition
Hello FoodAnthro readers, we have just a couple of news items for this week's round up.
The first, and most significant, is the death of anthropologist and food historian Sidney Mintz. He passed away on December 26 at the age of 93. FoodAnthropology will post obituaries in the days to come, but in the meantime readers might enjoy this article, All Roads Lead to Mintz, published 20 years ago in the New York times. It weaves together Mintz's work, cooking, and personal history, and ends with three recipes from "the heart of a Mintz." Readers may also want to peruse Mintz's website.
Second, the internet was in a tizzy this week when students at Oberlin College protested cultural appropriation in the college's dining halls, requesting "food that does not trample upon the religions and cultures of various countries." Innumerable news outlets have covered the story, but a couple of takes can be found at the New York Times ("Oberlin Students Take Culture War to the Dining Hall"), The Atlantic ("The Value of the Oberlin Food Protests"), and The Atlantic ("A Food Fight at Oberlin College") again.
Finally, readers may also be interested in Ellen Messer's December 28th post on the Food Policy Blog, "Two Pats and patriotism: Striving for a world, country, and communities without hunger." The post remembers two heroes in the fight against hunger, Patricia Kutzner and Patricia Young.
If you have a link you'd like to include in the weekly link roundup, please email it to LaurenRMoore@uky.edu.
by laurenrmoore | December 21, 2015 · 1:37 am
What FoodAnthropology is Reading Now, December 20th Edition
Food Tank put together a list of their 15 favorite books from the last year, which includes sure-to-be-classics on agriculture, food politics, and food security: Food Tank's Favorite Books of 2015
From the NY Times, a piece on drought in Iran, which is destroying food source, in particular the pistachio crop, and changing the way people live: Scarred Riverbeds and Dead Pistachio Trees in a Parched Iran
A study in Environmental Science & Policy, Investing in the Transition to Sustainable Agriculture, revealed USDA underfunding of sustainable agriculture, and was summarized by the University of Hawaii: Agriculture study shows need for more sustainable agriculture research funding
I recently discovered Nordic Food Radio, a "humanistic and scientific" blog and podcast dedicated to international food and the "edible potential of the Nordic region." Recent episodes include The New Old Superfood, about the resurgence of the chaga mushroom, and I would kiss them before I eat them, about the Sami practice of insect eating.
While you're cueing up the podcasts, you can also add A Short History of India's Distinct Food Habits, a production of The Real Food Podcast in which "mythology expert Devadutt Pattanaik goes back in time to trace the origins of India's food habits."
Finally, reporting on allegations that a $10-a-bar chocolate company had been remelting mass-produced chocolate and selling it under their name, an article at qz examines How the Mast Brothers fooled the world into paying $10 a bar for crappy hipster chocolate –certainly a fascinating study in food branding, distinction, and the questions that come with specialty food labels.
If you have a story you'd like to share with other FoodAnthropology readers, please email the link to LaurenRMoore@uky.edu.
What FoodAnthropology is Reading Now, Dec 15 Edition
Happy December 15, everyone! Here are some of the interesting things we read this week. If you have a link you'd like to share, please email it to LaurenRMoore@uky.edu. Thanks to those who have contributed links!
Anthropological research was in the news this week, with recent findings tracing millet's path through Eurasia, showing how nomadic groups combined millet with foraging in hilly regions: Millet: The missing link in prehistoric humans' transition from hunter-gatherer to farmer
Food scientists at Cornell University published research showing that eating with coworkers can positively affect working relationships: Breaking Bread With Coworkers May Boost Work Performance, Team Collaboration
BBC Radio 4 features a Food Programme, and the current episode is on "Food Museums" and is a fascinating look at how they display and curate their contents. Visiting France? Don't miss the prune museum!: Food Museums
Though I missed it in my Thanksgiving round-up, there was an interview with anthropologist Merry White about Thanksgiving history and traditions: Anthropologist Explains Evolution of Thanksgiving
A new book, Food and Femininity, examines "how women negotiate food ideals and practices in their everyday lives": A Full Plate: Rutgers-Camden Researcher Explores Food and Femininity in New Book
Eater had a fascinating article about how American vegans and vegetarians are taking on "butcher culture": How Vegans and Vegetarians Are Redefining Butcher Culture
The USDA has an ongoing "Women in Ag" series, with monthly interviews of women in agriculture. This month features Dr. Lois Wright Morton, professor of sociology in the College of Agriculture and Life Sciences at Iowa State University: In Conversation with #WomeninAg: Dr. Lois Wright Morton
In honor of Hanukkah, we have a short history of latkes from 2011 (along with a recipe for delicious-sounding cheese latkes): Discover the History of Latkes During Hanukkah
Food52 has a fun interactive map of "Cookies of the World": Cookies of the World
It's dated, but still fascinating: Smithsonian Magazine has a history of eggnog, originally published in 2013. Did you know it involved West Point cadets and a riot?: Egg Nog: It's All Fun and Games Until Someone Starts a Holiday Riot
And, finally, National Geographic had an article about how changing diets are impacting Japan's rice cultivation: As Diets Change, Traditional Japanese Rice Harvest Declines
by laurenrmoore | December 7, 2015 · 4:57 am
What FoodAnthropology is Reading Now: December 6 Edition
December 6, 2015:
For the Paris climate talks this week, an article in The Conversation argues that food–production, consumption, and everything in between–must be part of the climate conversation: The elephant in the room at Paris climate talks: why food production must change
There was an interview with Drs. Luz Calvo and Catrióna Esquibel,two ethnic studies professors who authored a cookbook called Decolonize Your Diet, which promotes a return to indigenous foodways for Latinos: How to Decolonize Your Diet: The Importance of Indigenous Foods
For Thanksgiving, the Southern Foodways Alliance published a touching reflection on service-industry work and the holidays: Blue Collar Holiday
And, while we are thinking about those who labor for our food, NPR took a look at the labor behind half of the United States' sweet potato crop, which comes out of North Carolina: Behind Your Holiday Sweet Potato Dish, Hard Work in the Fields
There was a book review essay on several novels related to restaurant industry work that takes a few swipes at professional food writing. It goes beyond consumption and calls attention to the work of the restaurant industry, saying "now is the time for a more critical, intelligent, and politically aware food writing—one which is willing to leave behind its tired emphasis on customer satisfaction, and which at long last takes up the task of representing service labor for what it is. Imagine a writing that makes space for other 'classic waiter questions,' like, 'could you please look me in the eye when you speak to me?' or 'could I please have health insurance?'": On Writing and Restaurant Labor
Huffington Post featured a piece by Krishnendu Ray discussing the links between restaurant labor, the making of "ethnics," the framing of "ethnic food" and his work in general. This is a good intro to how one undermines the very concept of ethnicity with food: Taste, Toil, and Ethnicity
In response to a recent E.Coli outbreak, Chipotle may roll back its local sourcing practices: Chipotle Tightens Standards Amid E. Coli Outbreak, Putting Buy-Local Pledge in Jeopardy
Researchers from Rice University have developed a method to distill alcohol with sunlight, rather than heat: Move Over Moonshine–Here Comes Sunshine
And finally, for fun, McSweeny's offers this satire on food habits, on the relentless search for big data, on modern consumption, etc. The drones are coming. Tell Us How We Did With Your Order of Egg Whites and Avocado Wrap
If you have a link for the FoodAnthropology round up, please email it to Lauren Moore at LaurenRMoore@uky.edu.
by laurenrmoore | November 29, 2015 · 6:33 pm
What FoodAnthropology is Reading Now: November 29th Edition
November 29, 2015: Once again, there were more great food reads this week than could be included in one post. Here were some of my favorites. If you would like to share an article with other FoodAnthropology readers, please email it to LaurenRMoore@uky.edu.
There was an article about the decline in breakfast cereal consumption in the United States, as children identify less strongly with cereal characters and health trends favor Greek yogurt and hot cereals: Breakfast Cereal's Last Gasp
I recently discovered the work of Michael Twitty, who is a scholar of "the foodways of Africa, enslaved African Americans…and the African and Jewish diasporas" and has a fantastic blog, Afroculinaria. Two pieces I enjoyed this week were A People's History of Cornbread Stuffing, written for Vice with a companion post with pictures on Twitty's blog. Then, for some Thanksgiving-related humor, Twitty also authored the satire post How to Survive Black Thanksgiving as a Non-Black Guest.
Through Twitty's work, I discovered Vice's food channel Munchies, which offers a satisfying array of deep-diving journalism, recipes, and entertaining pop articles (recovering from stressful holiday travel? You might sympathize with this woman who drank a whole bottle of cognac rather than surrender it to the TSA). Of their more serious work, there was a recent piece titled Cooking with Muxes, Mexico's Third Gender, and a look at The Silent Epidemic Behind Nicaragua's Rum.
The New York Times reported on recent genetic work suggesting that agriculture did more than increase rates of malnutrition and infectious disease. It has also been linked to broader DNA changes, including changes that altered height and skin color: Agriculture Linked to DNA Changes in Ancient Europe
There were two great pieces about the history of leftovers–first, An Economic History of Leftovers written by historian Helen Veit at The Atlantic. Then, Dr. Viet was interviewed at FoodTank about her work: Researching the Remains: A Leftovers Q&A with Food Historian Helen Veit
Treehugger profiled a new agricultural robot that uses environmental sensors to monitor plants and weed fields: This car-sized autonomous farm robot smashes weeds to death
Though it was released last year, readers may still be interested in this podcast on The Anthropology of Pie, by Stuff Mom Never Told You.
Sociological Images, at The Society Pages, the fantastic and prolific sociology blog, pulled up an old piece for their "Flashback Friday" series that may still be of interest here: Anorexia Mirabilis: Fasting in Victorian England and modern India. They also posted 23 Thanksgiving Food Facts, for fun.
Food writer Elizabeth G. Dunn wrote about The Myth of Easy Cooking, offering a brief history of the cookbook industry and the contemporary intersection of busy lives and a "food culture" in which an iceberg lettuce chopped and tossed with mayonnaise (quick cooking from the 1950s–and truly easy) is unacceptable.
With criticism for research that strategically downplayed the role of Coca-Cola's sugary beverages in obesity, there was news that Coke's top scientist is stepping down: Coke's Chief Scientist, Who Orchestrated Obesity Research, Is Leaving
Finally, there was a piece in The New Yorker about Asian-American cooking that profiled several cookbooks and an upcoming PBS documentary Off the Menu, and reflects on the role of cookbooks in our lives. The author writes, "the belief that we can better understand one another by eating each other's food quietly underwrites an increasingly expansive vision of American cuisine. Whether we can actually consume our way to cultural comprehension is, of course, another question entirely. And what if it's your own culture you're trying to understand?": Chinese Food and the Joy of Inauthentic Cooking
What FoodAnthropology is Reading Now: November 22 Edition
November 22, 2015: There's good news for FoodAnthropology readers this week: it was a great week for internet food reads. Here's a round of up what captivated FoodAnthropology over the last seven days.
If you have a link you would like to contribute to future round-ups, please email LaurenRMoore@uky.edu.
First, as apple-picking season draws to a close, there were two apple articles worth reading. The first, from The Atlantic: "What Do Professional Apple Farmers Think of People Who Pick Apples for Fun" ("you have to gently pull them away from the idea that the skilled employees we have … [are] not idiots off the street"). Then, NPR's The Salt offered "Inside the Life of an Apple Picker"
There was news from two of the biggest names in U.S. food journalism, Michael Pollan and Mark Bittman. Pollan has turned his bestseller In Defense of Food into a documentary, which premiered at the 2015 Mill Valley Film Festival in October 2015. And, in honor of Mark Bittman's departure from the New York Times, the NYT Magazine featured Mark Bittman's Top 10 Columns.
Another documentary that's making the news is Just Eat it: A Food Waste Story, which documents two filmmakers' efforts to subsist on food waste in order to bring attention to stunning levels of food waste built into the North American food system.
Scientific American featured an article about the links between food insecurity and HIV outcomes, and summarizes pilot research that seems to improve HIV outcomes through agricultural interventions: "In Kenya, Improving Food Security and HIV Outcomes through Farming"
ReadThink published an article describing Switzerland's cheese industry, and how the nation went from over 1000 cheeses under production to just three following World War I: "The Swiss Cheese Mafia"
Gastropod, the podcast that "looks at food through the lens of science and history" released a 40-minute dive into the world of mushrooms: "The Mushroom Underground"
On November 19th, the US Food and Drug Administration announced that AquAdvantage salmon, a genetically modified, fast-growing salmon, would be the first transgenic animal approved for human consumption in the US: "Salmon is the First Transgenic Animal to Win US Approval for Food"
Representatives from the Latin American Scientific Society of Agroecology (SOCLA) penned "Reflections on the FAO regional meeting of Agroecology for Africa" that offers insight into the goals and politics of agroecological work.
There were reports this week from a study showing that (American?) men overeat in the presence of women, and draws conclusions about the evolutionary basis of this behavior: "Men Overeat to Impress Women;" the original article can be found here: "Eating Heavily: Men Eat More in the Company of Women"
A report from on the U.S. Farm Bill from UC Berkeley's Haas Institute for a Fair and Inclusive Society "finds that corporate control and structural racialization within the US food system leaves marginalized communities disproportionately impacted by the agricultural policies and outcomes generated by the Farm Bill": "Farm Bill Report"
There were reports this week that present-day obesity in humans may be linked to a genetic mutation in an extinct species of ape: "Obesity in Humans Linked to Fat Gene in Prehistoric Apes"
Though this was published in August, it's still worth reading in November: writer Ruth Tam's reflection on "How it feels when white people shame your culture's food-then make it trendy"
Scientific American wrote about efforts to save heirloom varieties of date palm in Egypt: "Save the Date: Preventing Heirloom Date Palm Extinction in Egypt's Siwa Oasis"
Finally, The Atlantic reported on research from the Weizmann Institute of Science that uses an algorithm to "accurately predict how a person's blood-sugar levels will spike after eating any given meal," and can be used to develop personalized plans for blood sugar management: "The Algorithm that Creates Diets That Work for You"
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FoodAnthropology · Wisdom from the Society for the Anthropology of Food and Nutrition


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Q: jQuery animate shake on hover I am attempting to make an element shake upon hover without using jQuery UI and have come across the following code, however I cant seem to figure out how to trigger on hover, this code has a Random effect and it confuses me every time I try to diffuse it. I'm trying to get them to animate one at a time not altogether
http://jsfiddle.net/g6AeL/
   $(function() {
      var interval = 10;
      var duration= 1000;
      var shake= 3;
      var vibrateIndex = 0;
      var selector = $('aside.featured a'); /* Your own container ID*/
        $(selector).click( /* The button ID */

        function(){

        vibrateIndex = setInterval(vibrate, interval);
        setTimeout(stopVibration, duration);

        });

        var vibrate = function(){
        $(selector).stop(true,false)
        .css({position: 'relative',
        left: Math.round(Math.random() * shake) - ((shake + 1) / 2) +'px',
        top: Math.round(Math.random() * shake) - ((shake + 1) / 2) +'px'
        });
        }

        var stopVibration = function() {
        clearInterval(vibrateIndex);
        $(selector).stop(true,false)
                .css({position: 'static', left: '0px', top: '0px'});
            };

        });

A: Try this way:-
$(function() {
  var interval = 10;
  var duration= 1000;
  var shake= 3;
  var vibrateIndex = 0;
  var selector = $('.box'); /* Your own container ID*/
    $(selector).hover( /* The button ID */
        function(){
        vibrateIndex = setInterval(vibrate, interval);
        },
        function(){
            clearInterval(vibrateIndex);
            $(selector).stop(true,false)
                .css({position: 'static', left: '0px', top: '0px'});
        }
    );

    var vibrate = function(){
        $(selector).stop(true,false)
        .css({position: 'relative',
        left: Math.round(Math.random() * shake) - ((shake + 1) / 2) +'px',
        top: Math.round(Math.random() * shake) - ((shake + 1) / 2) +'px'
        });
    }
});

Refer this DEMO

A: With CSS
.item:hover {
  animation: shake 0.82s cubic-bezier(.36,.07,.19,.97) both;
  transform: translate3d(0, 0, 0);
  backface-visibility: hidden;
  perspective: 1000px;
}

@keyframes shake {
  10%, 90% {
    transform: translate3d(-1px, 0, 0);
  }

  20%, 80% {
    transform: translate3d(2px, 0, 0);
  }

  30%, 50%, 70% {
    transform: translate3d(-4px, 0, 0);
  }

  40%, 60% {
    transform: translate3d(4px, 0, 0);
  }
}

redpajama_set_name: RedPajamaStackExchange


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Pot Pie Brands: 10 to Try at Least Once
Pot pies are said to date back to 9500 B.C. They were likely first made in Greece using various meats and were cooked over coals. Needless to say, the modern era has spoiled us. We no longer have to hunt, gather, and spend hours preparing our pot pies. We can go into any grocery store and likely find several pot pie brands that can be conveniently cooked at home with minimal effort. Here are 10 brands for you to consider for buying for your next meal.
Pot Pie Brands
Amy's
Boston Market
Marie Callender's
Stouffer's
A post shared by Alpha Foods (@alphafoods)
Website: eatalphafoods.com
Alpha Foods specializes in manufacturing plant-based pot pies and other foods. All products are vegan certified by the American Vegetarian Association. Additionally, all ingredients are non-GMO Verified.
The pot pie products made by Alpha Foods are:
Buffalo Chik'n
Chik'n Veggie
Beefy Chedd'r
Spinach Feta
Chik'n Pesto
A post shared by Amy's Kitchen (@amyskitchen)
Website: amys.com
Amy's was started in 1987 by Andy and Rachel Berliner. It is currently a privately owned company that specializes in producing frozen/convenience foods with a focus on non-GMO and vegetarian products. Many ingredients are organic.
The company makes over 250 products that include such foods as lasagna, pizza, burritos, candy, salsa, and more. However, the first product made by the founders was a pot pie that was baked in the family kitchen. About a year after the first pot pie came out of the oven, Amy's moved into a full-sized kitchen that staffed eight employees.
Amy's makes the following pot pie products:
Vegetable Pot Pie
Broccoli Pot Pie
Vegetable Pot Pie (Dairy-Free)
A post shared by Christina Skally Styling (@christinaskallystyling)
Website: banquet.com
Banquet is a brand of Conagra that purchased the company in 1980. Banquet was first launched in 1953 with frozen meat pies being its first product. The pot pies were required to be cooked in the oven up until the mid-2000s. In 2005, the company started producing microwavable pot pies that offered busy families the convenience of a quick meal.
Banquet makes the following pot pies:
Turkey Pot Pie
Beef Pot Pie
Salisbury Steak Deep Dish
Chicken & Broccoli Pot Pie
The company also makes a couple of breakfast pies:
Deep Dish Cheesy Ham & Potato
Deep Dish Sausage & Gravy
A post shared by Blake's All Natural Foods (@blakesnatural)
Website: blakesallnatural.com
Charlie Blake was a farmer who one day in 1970 decided to bake a dozen pot pies with his Grandma Clara's pot pie recipe using extra turkey meat from the farm kitchen. Blake attempted to sell these pies at a local church. They quickly sold out, which inspired him to continue his journey selling pot pies.
Today, Blake's makes organic and all-natural meals. The pot pie products made by the company are:
Organic Chicken Pot Pie
Organic Gluten-Free Chicken Pot Pie
Gluten-Free Chicken Pot Pie
A post shared by Boomerang's Pies (@boomerangs.pies)
Website: boomerangspies.com
The idea for Boomerang's came about after one of the founders, Jack Fennell, visited Australia and fell in love with the popular handheld meat pies there. Fennell partnered with a man named Lance McInnes who shared a love for these pies. The company began as storefronts in Austin, Texas. They eventually made their way into the frozen section of grocery stores as a way to expand outside of Texas.
The company makes the following pies:
Chicken Classic
Chicken & Mushroom
Steak & Potato
Traditional Beef Aussie
Spinach & Mushroom
Veggie Pie
Beefy Potato (100% Plant-Based)
Chick'n Classic (100% Plant-Based)
Southwest Chicken
Website: bostonmarketathome.com
Boston Market is likely best known for its 400+ restaurants across America that serve homestyle meals. Bellisio Foods manufactures frozen meals under the Boston Market name that are sold in grocery stores.
The company makes a chicken pot pie that is made with all-white meat chicken, vegetables, and a gravy that is covered by a delicious pie crust. It can be cooked in a microwave or an oven.
A post shared by Marie Callender's (@mariecallenders_)
Website: mariecallendersmeals.com
The company began in the 1930s as a pie company. Marie and Cal Callender along with their son Don eventually opened a wholesale bakery in the late 1940s. The success of the bakery allowed the Callender family to launch a pie and coffee shop in 1964. This shop grew into a chain that offered meals and dessert options. Marie Callender's restaurants are still in business today.
Marie Callender's frozen foods are manufactured by Conagra Brands. The company makes a variety of pot pies. These products include:
Creamy Parmesan Chicken Pot Pie
Cheesy Chicken & Bacon Pot Pie
Broccoli & Cheddar Potato Pot Pie
Creamy Mushroom Chicken Pot Pie
Chicken Corn Chowder Pot Pie
A post shared by Mike Buso (@mbusosms)
Website: goodness.com/stouffers
Stouffer's is one of America's most popular frozen food brands. The Stouffer family started a creamery in the late 1800s that eventaully allowed Abraham Stouffer to open a successful restaurant business in the 1920s. By 1929, the Stouffer Corporation had restaurants in major cities such as Cleveland, Detroit, and Pittsburgh. As a way to diversify, the company got into the frozen food business in 1946. Stouffer's was sold to its current owner, Nestle, in 1973.
Today, lasagna and mac & cheese are two of the favorite frozen entrees made by the company. However, the company makes numerous other frozen meals including pot pies. The Stouffer's pot pie products are:
White Meat Chicken Pot Pie
Chicken Pot Pie Bites
Swanson is a pot pie brand that is manufactured by Conagra. They are known for their single-serve pot pies with chicken and turkey being the two classic flavors. They are credited with launching the first frozen pot pie in 1951.
A post shared by Willow Tree Farm (@willowtreefarm)
Website: willowtreefarm.com
Willow Tree began as a poultry farm in the early 1900s. The farm was located in Attleboro, Massachusetts on a property with several willow trees. Willow Tree sold chicken and eggs for many years door-to-door. In 1954, the company started producing chicken pie and customers soon fell in love with it. The company's first retail location opened in 1958 where it sold a variety of products such as deli and prepared foods.
Today, Willow Tree's products are in 3,000+grocery stores. They make the following chicken pies:
Premium White Meat Chicken Pie
Premium White Meat Chicken Pie with Vegetables
Blakeslee, Karen. "The History of the Humble Pot Pie – You Asked It!" Kansas State University, 12 Jan. 2018, enewsletters.k-state.edu/youaskedit/2018/01/12/the-history-of-the-humble-pot-pie/#:%7E:text=In%201951%2C%20the%20first%20frozen,%2C%20cornbread%2C%20biscuits%20and%20more.
"Roman Era Chefs Made Pot Pies With A Living Bird Inside That Burst Through The Pie Shell When Cut And Fly Out – South Florida Reporter." South Florida Reporter, southfloridareporter.com/roman-era-chefs-made-pot-pies-with-a-living-bird-inside-that-burst-through-the-pie-shell-when-cut-and-fly-out/?print=print. Accessed 30 Mar. 2021.
11 Top Frozen Pancake Brands - Brands To Try At Least Once
Chocolate Syrup Brands - 12 To Try At Least Once
Hot Cereal Brands: 9 to Try for Breakfast At Least Once

redpajama_set_name: RedPajamaCommonCrawl


text:
Oregon Is Stopping Hospital Construction for Your Own Good
By Cascade Policy Institute
Monday December 21, 2020
By Vlad Yurlov
COVID-19 cases are spiking in Oregon and hospitals across the state are struggling to keep up. The Oregon Health Authority (OHA) reports that over 80% of Oregon's adult Intensive Care Unit beds are full. But the OHA has continued to suppress health care facilities and services, by using Certificate of Need (CON) laws. For more than 50 years, Oregon has required health care facilities to demonstrate a "need" for any new or expanded facilities. Throughout the lengthy certificate of need process, competing providers are permitted to provide evidence showing that current and future demand for services can be satisfied by existing facilities. In this way, existing providers can block the entry of newcomers. In the best of times, stifling the supply of health care facilities can be life threatening. During a pandemic, it can be catastrophic.
In 1974, the National Health Planning and Resources Development Act established CON laws at a federal level. The Act stated "[t]he achievement of equal access to quality health care at a reasonable cost is a priority of the Federal Government."[1] But CON laws create a series of unintended consequences that reduce health care accessibility and quality, while increasing costs. In 1986, the United States Congress recognized the damage that CON laws inflict and repealed the 1974 act.
As part of Oregon's CON process, the OHA regularly uses the analysis and opinions of incumbent service providers to judge the "need" for new facilities. This creates a conflict between the new entrant and existing providers. Competing health care providers have a direct motive to impede the availability of new services. Just like every other market, competition forces incumbent businesses to either improve services or cut costs to retain customers and profits. Instead, the American Medical Association says "CON programs tend to be influenced heavily by political relationships, such as a provider's clout, organizational size, or overall wealth and resources, rather than policy objectives."
CON laws have serious consequences for the delivery and quality of health care. In research published by the Mercatus Center at George Mason University, Thomas Stratmann and David Wille found that limiting entry into the hospital market is associated with the quality of the hospitals in the area. For example, mortality rates are statistically higher in areas that have such laws.[2] Competition forces hospitals to provide the best possible care to their patients. With CON laws, hospitals don't have to compete with as many other providers, which harms patient outcomes.
In response to the COVID-19 pandemic, 20 states have loosened CON laws in order to boost the supply of hospital beds and treatments.[3] Meanwhile, Oregon has made no moves to reduce the state's burdensome rules.
Mercatus recently published the estimated effects of Oregon's CON laws on health care costs and outcomes.[4] They found that 19 health care services are subject to a CON or a cap, which may produce similar effects. The average Oregonian is estimated to save $220 in annual health care spending if CON laws are abolished in the state. Furthermore, deaths resulting from post-surgery complications are estimated to decrease by nearly six percent. Access to health care could also improve, because total facilities are estimated to increase from just 63 to 89. The research suggests that without CON laws, Oregon would have better health outcomes at a lower cost to consumers.
Supporters of CON laws argue that suppressing "excess" services reduces the incentive for hospitals to charge high prices to cover their costs. But even the federal government has conceded that this has not been the result. A joint statement published by the Federal Trade Commission and the Antitrust Division of the U.S. Department of Justice stated "CON laws raise considerable competitive concerns and generally do not appear to have achieved their intended benefits for health care consumers."[5] Despite this, Oregon has kept its practice of government insiders picking and choosing how many services its residents "need."
Each year shows more harmful effects of CON laws' unintended consequences. They degrade the incentive and results that competition provides. It is clear that CON laws restrict health care supply, reduce quality, and increase costs of services, which are directly opposite to the laws' intention. Oregon should repeal Certificate of Need laws and allow equal access to health care for Oregonians.
[1] https://www.govinfo.gov/content/pkg/STATUTE-88/pdf/STATUTE-88-Pg2225.pdf#page=51 2226
[2] https://www.mercatus.org/system/files/mercatus-stratmann-wille-con-hospital-quality-v1.pdf 46-47
[3] https://pacificlegal.org/certificate-of-need-laws-covid-19/
[4] https://www.mercatus.org/system/files/oregon.pdf
[5] https://www.ftc.gov/system/files/documents/advocacy_documents/joint-statement-federal-trade-commission-antitrust-division-us-department-justice-regarding/v170006_ftc-doj_comment_on_alaska_senate_bill_re_state_con_law.pdf 15
Vlad Yurlov is a policy analyst at Cascade Policy Institute, Oregon's free market public policy research organization. He can be reached at [email protected].
Health Care Tax Would Hurt Middle Class
Direct Primary Care Puts Patients First, Lowers Health Care Costs
Oregon ranks 31st in long-run solvency
An immediate existential threat to Oregon health care


Stefano joined Copley as an Associate in 2016 and is currently responsible for originating and evaluating investment opportunities. Stefano's investments include North Star Leasing, a provider of equipment financing solutions across a variety of industries. Stefano grew up in Vancouver, British Columbia, and graduated with a BA in science from Harvard University where he was a varsity rower and a member of the junior national team.


Nusse R, van Ooyen A, Cox D, Fung YK, Varmus H.
Most mammary carcinomas induced in C3H mice by the mouse mammary tumour virus (MMTV) bear a new proviral insertion within a highly conserved locus on chromosome 15 called int-1. A transcriptional unit within this locus is inactive in all tested normal tissues but expressed at low levels in mammary tumours with proviral insertions positioned on either the 5' and 3' sides of the gene. Transcription of the proviruses proceeds away from int-1; thus an indirect mechanism appears to activate expression of this putative oncogene.


text:
Mil Mi-54 je bil predlagani dvomotorni večnamenski transportni helikopter ruskega proizvajalca Mil. Projekt so objavili leta 1992. Mi-54 naj bi bil naslednik Mi-2 in Mi-8.

Za pogon je planirana uporaba dveh turbogrednih Saturn/Lyulka AL-32, vsak z 574 kW. Ima štirikraki glavni in repni rotor. Kraki rotorjev so grajeni iz fiberglasa. Pristajalno podvozje tipa tricikel je fiksno (neuvlačljivo). Pri straneh ima dva sponsona.

Največja potovalna hitrost je 280 km/h, običajna je okrog 260 km/h. Doseg je 600 km, servisna višina leta je 5500 metrov. Največja vzletna teža je 4700 kg.

Glej tudi
 Seznam transportnih vojaških helikopterjev
 Seznam vojaških helikopterjev

Helikopterji Mil
Transportni helikopterji
Večnamenski helikopterji
Predlagani helikopterji

redpajama_set_name: RedPajamaWikipedia


text:
import argparse
import pickle
import torch

import time

from cassie import CassieEnv
from rl.envs import Normalize, Vectorize
from rl.policies import GaussianMLP, EnsemblePolicy

import matplotlib
from matplotlib import pyplot as plt
plt.style.use('ggplot')

import numpy as np
np.set_printoptions(precision=2, suppress=True)

from cassie.cassiemujoco import pd_in_t

#TODO: convert all of this into ipynb

# TODO: add .dt to all environments. OpenAI should do the same...
def visualize(env, policy, trj_len, deterministic=True, dt=0.033, speedup=1):
    R = []
    r_ep = 0
    done = False

    with torch.no_grad():
        state = torch.Tensor(env.reset())

        for t in range(trj_len):

            #start = time.time()
            _, action = policy.act(state, deterministic)
            #print("policy time: ", time.time() - start)

            #start = time.time()
            state, reward, done, _ = env.step(action.data.numpy())
            #print("env time: ", time.time() - start)

            r_ep += reward

            if done:
                state = env.reset()
                R += [r_ep]
                r_ep = 0

            state = torch.Tensor(state)

            env.render()

            time.sleep(dt / speedup)

        if not done:
            R += [r_ep]

        print("avg reward:", sum(R)/len(R))
        print("avg timesteps:", trj_len / len(R))

def cassie_policyplot(env, policy, trj_len, render=False, title=None):
    cassie_action = ["hip roll", "hip yaw", "hip pitch", "knee", "foot"]

    obs_dim = env.observation_space.shape[0]
    action_dim = env.action_space.shape[0]

    y_delta = np.zeros((trj_len, action_dim))
    y_ref   = np.zeros((trj_len, action_dim))
    X       = np.zeros((trj_len, action_dim)) # not real X

    with torch.no_grad():
        state = torch.Tensor(env.reset())

        for t in range(trj_len):
            _, action = policy.act(state, True)

            #X[t, :] = state.data.numpy()
            y_delta[t, :] = action.data.numpy() # policy delta

            # oooof this is messy/hackish
            ref_pos, _ = env.venv.envs[0].get_ref_state(env.venv.envs[0].phase)
            y_ref[t, :] = ref_pos[env.venv.envs[0].pos_idx] # base PD target

            X[t, :] = np.copy(env.venv.envs[0].sim.qpos())[env.venv.envs[0].pos_idx]

            state, reward, done, _ = env.step(action.data.numpy())

            state = torch.Tensor(state)

            if render:
                env.render()
                time.sleep(0.033)

    # one row for each leg
    plot_rows = 2
    plot_cols = action_dim // 2

    fig, axes = plt.subplots(plot_rows, plot_cols, figsize=(20, 10))

    if title is not None:
        fig.suptitle(title, fontsize=16)

    for r in range(plot_rows):     # 2 legs
        for c in range(plot_cols): # 5 actions
            a = r * plot_cols + c
            axes[r][c].plot(np.arange(trj_len), y_delta[:, a], "C0", label="delta")
            axes[r][c].plot(np.arange(trj_len), y_ref[:, a], "C1", label="reference")
            axes[r][c].plot(np.arange(trj_len), y_delta[:, a] + y_ref[:, a], "C2--", label="summed")

            axes[r][c].plot(np.arange(trj_len), X[:, a], "g--", label="result")

            axes[0][c].set_xlabel(cassie_action[c])
            axes[0][c].xaxis.set_label_position('top')
        axes[r][0].set_ylabel(["left leg", "right leg"][r])

    plt.tight_layout()

    if title is not None:
        plt.subplots_adjust(top=0.93)

    axes[0][0].legend(loc='upper left')
    plt.show()

def policyplot(env, policy, trj_len):
    obs_dim = env.observation_space.shape[0]
    action_dim = env.action_space.shape[0]

    y = np.zeros((trj_len, action_dim))
    X = np.zeros((trj_len, obs_dim))

    state = torch.Tensor(env.reset())
    for t in range(trj_len):

        _, action = policy.act(state, True)

        X[t, :] = state.data.numpy()
        y[t, :] = action.data.numpy()

        state, _, _, _ = env.step(action.data.numpy())

    fig, axes = plt.subplots(1, action_dim)

    for a in range(action_dim):
        axes[a].plot(np.arange(trj_len), y[:, a])

    plt.show()

# TODO: add no_grad to all of these

def get_rewards(env, policy, num_trj, deterministic=False):
    r_ep = 0
    R = []
    done = False

    state = torch.Tensor(env.reset())
    while len(R) < num_trj:
        _, action = policy.act(state, deterministic)
        state, reward, done, _ = env.step(action.data.numpy())

        r_ep += reward

        if done:
            state = env.reset()
            R += [r_ep[0]]
            r_ep = 0

        state = torch.Tensor(state)

    if not done:
        R += [r_ep[0]]

    return R

# TODO: add n_trials arg, pass in policy function instead

def plot_reward_dist(env, policy, num_trj, deterministic=False):
    r_ep = 0
    R = []
    done = False

    state = torch.Tensor(env.reset())
    while len(R) < num_trj:
        _, action = policy.act(state, deterministic)
        state, reward, done, _ = env.step(action.data.numpy())

        r_ep += reward

        if done:
            state = env.reset()
            R += [r_ep[0]]
            r_ep = 0

        state = torch.Tensor(state)

    if not done:
        R += [r_ep[0]]

    plt.xlabel("Return")
    plt.ylabel("Frequency")
    plt.hist(R, edgecolor='black', label=policy.__class__.__name__) # TODO: make labels less hacky

def plot_action_dist(env, policy, num_trj, deterministic=False):
    n = 0
    A = []
    done = False

    state = torch.Tensor(env.reset())
    while n < num_trj:
        _, action = policy.act(state, deterministic)
        state, reward, done, _ = env.step(action.data.numpy())

        A += [action.mean().data.numpy()]

        if done:
            state = env.reset()
            n += 1

        state = torch.Tensor(state)

    print(np.std(A))

    plt.xlabel("Mean Action")
    plt.ylabel("Frequency")
    plt.hist(A, edgecolor='black', label=policy.__class__.__name__) # TODO: make labels less hacky

def print_semantic_state(s):
    # only works for full state for now
    assert s.numel() == 80

    x = [None] * 20

    # TODO: add mask variable to env to specifiy which states are used

    x [ 0] = "Pelvis y"
    x [ 1] = "Pelvis z"
    x [ 2] = "Pelvis qw"
    x [ 3] = "Pelvis qx"
    x [ 4] = "Pelvis qy"
    x [ 5] = "Pelvis qz"
    x [ 6] = "Left hip roll"         #(Motor [0])
    x [ 7] = "Left hip yaw"          #(Motor [1])
    x [ 8] = "Left hip pitch"        #(Motor [2])
    x [ 9] = "Left knee"             #(Motor [3])
    x [10] = "Left shin"                        #(Joint [0])
    x [11] = "Left tarsus"                      #(Joint [1])
    x [12] = "Left foot"             #(Motor [4], Joint [2])
    x [13] = "Right hip roll"        #(Motor [5])
    x [14] = "Right hip yaw"         #(Motor [6])
    x [15] = "Right hip pitch"       #(Motor [7])
    x [16] = "Right knee"            #(Motor [8])
    x [17] = "Right shin"                       #(Joint [3])
    x [18] = "Right tarsus"                     #(Joint [4])
    x [19] = "Right foot"            #(Motor [9], Joint [5])

    x_dot = [None] * 20

    x_dot[ 0] = "Pelvis x"
    x_dot[ 1] = "Pelvis y"
    x_dot[ 2] = "Pelvis z"
    x_dot[ 3] = "Pelvis wx"
    x_dot[ 4] = "Pelvis wy"
    x_dot[ 5] = "Pelvis wz"
    x_dot[ 6] = "Left hip roll"         #(Motor [0])
    x_dot[ 7] = "Left hip yaw"          #(Motor [1])
    x_dot[ 8] = "Left hip pitch"        #(Motor [2])
    x_dot[ 9] = "Left knee"             #(Motor [3])
    x_dot[10] = "Left shin"                        #(Joint [0])
    x_dot[11] = "Left tarsus"                      #(Joint [1])
    x_dot[12] = "Left foot"             #(Motor [4], Joint [2])
    x_dot[13] = "Right hip roll"        #(Motor [5])
    x_dot[14] = "Right hip yaw"         #(Motor [6])
    x_dot[15] = "Right hip pitch"       #(Motor [7])
    x_dot[16] = "Right knee"            #(Motor [8])
    x_dot[17] = "Right shin"                       #(Joint [3])
    x_dot[18] = "Right tarsus"                     #(Joint [4])
    x_dot[19] = "Right foot"            #(Motor [9], Joint [5])

    s_obs = s[:, :40]
    s_ref = s[:, 40:]

    print("\nObserved position")
    for i in range(20):
        if s_obs[:, i].item() > 1:
            print("{0}: \r\t\t\t{1:.2f}".format(x[i], s_obs[:, i].item()))

    print("\nObserved velocity")
    for i in range(20):
        if s_obs[:, 20 + i].item() > 1:
            print("{0}: \r\t\t\t{1:.2f}".format(x_dot[i], s_obs[:, 20 + i].item()))

    print("\nReference position")
    for i in range(20):
        if s_ref[:, i].item() > 1:
            print("{0}: \r\t\t\t{1:.2f}".format(x[i], s_ref[:, i].item()))

    print("\nReference velocity")
    for i in range(20):
        if s_ref[:, 20 + i].item() > 1:
            print("{0}: \r\t\t\t{1:.2f}".format(x_dot[i], s_ref[:, 20 + i].item()))

# my idea for extending perturbation saliency to dynamical systems
def saliency(policy, state, naive=False):
    scores = torch.zeros_like(state)
    for i in range(state.size(1)):
        score = 0

        s_prime = state.clone()
        # sample values from (e - 0.25, e + 0.25)
        max_r = 0.25

        # change in value/related to number of samples
        dr = 0.05

        # current change
        r = -max_r # start at min r
        if not naive:
            while r <= max_r:
                # TODO: visualize s_prime
                # would require setting qpos and visualizing
                # setting qpos would require knowing the mapping of indices
                # from s to qpos
                s_prime[:, i] = state[:, i] + r

                v, a = policy.act(state)
                v_prime, a_prime = policy.act(s_prime)

                score += 0.5 * torch.norm(v - v_prime, 2)

                r += dr
        else:
            s_prime[:, i] = 0

            v, a = policy.act(state)
            v_prime, a_prime = policy.act(s_prime)

            score += 0.5 * torch.norm(v - v_prime, 2)

        score /= 2 * max_r
        scores[:, i] = score
    scores = scores / torch.max(scores) * 10
    print_semantic_state(scores)

# more plots:
# state visitation
# value function
# reward distribution

def make_env_fn():
    def _thunk():
        return CassieEnv("walking", clock_based=True)
    return _thunk

parser = argparse.ArgumentParser(description="Run a model, including visualization and plotting.")
parser.add_argument("-p", "--model_path", type=str, default="/trained_models/model1.ptn",
                    help="File path for model to test")
parser.add_argument("-x", "--no-visualize", dest="visualize", default=True, action='store_false',
                    help="Don't render the policy.")
parser.add_argument("-g", "--graph", dest="plot", default=False, action='store_true',
                    help="Graph the output of the policy.")

parser.add_argument("--glen", type=int, default=150,
                    help="Length of trajectory to graph.")
parser.add_argument("--vlen", type=int, default=75,
                    help="Length of trajectory to visualize")

parser.add_argument("--noise", default=False, action="store_true",
                    help="Visualize policy with exploration.")

parser.add_argument("--new", default=False, action="store_true",
                   help="Visualize new (untrained) policy")

args = parser.parse_args()

# TODO: add command line arguments for normalization on/off, and for ensemble policy?

if __name__ == "__main__":
    torch.set_num_threads(1) # see: https://github.com/pytorch/pytorch/issues/13757

    if args.new:
        env_fn = make_env_fn()
        env = Vectorize([env_fn])

        obs_dim = env_fn().observation_space.shape[0]
        action_dim = env_fn().action_space.shape[0]

        policy = GaussianMLP(obs_dim, action_dim, nonlinearity="relu", init_std=np.exp(-2), learn_std=False)

        # policy2 = ActorCriticNet(obs_dim, action_dim, [256, 256])

        # #print(policy,  sum(p.numel() for p in policy.parameters()))
        # #print(policy2,  sum(p.numel() for p in policy2.parameters()))

        # plot_action_dist(env, policy, 100)
        # plot_action_dist(env, policy2, 100)
        # plt.legend()
        # plt.show()

        # R1 = []
        # R2 = []
        # R3 = []
        # for _ in range(5):
        #     R1 += get_rewards(env, GaussianMLP(obs_dim, action_dim, nonlinearity="relu", init_std=np.exp(-2), learn_std=False), 50)
        #     R2 += get_rewards(env, ActorCriticNet(obs_dim, action_dim, [256, 256]), 50)
        #     R3 += get_rewards(env, XieNet(obs_dim, action_dim, [256, 256]), 50)

        # plt.xlabel("Return")
        # plt.ylabel("Frequency")
        # plt.hist(R1, edgecolor='black', label="GaussianMLP")
        # plt.hist(R2, edgecolor='black', label="ActorCriticNet")
        # plt.hist(R3, edgecolor='black', label="XieNet")
        # plt.legend()
        # plt.show()

        # plot_reward_dist(env, policy2, 500)

        if args.visualize:
            visualize(env, policy, args.vlen, deterministic=not args.noise)

        if args.plot:
            cassie_policyplot(env, policy, args.glen)

    else:
        policy = torch.load(args.model_path)
        policy.train(0)

        env_fn = make_env_fn()

        env = env_fn()

        # while True:
        #     state = torch.Tensor(env.reset())
        #     print("phase: {0}".format(env.venv.envs[0].phase))

        #     saliency(policy, state, naive=False)

        #     env.venv.envs[0].sim.step_pd(pd_in_t())

        #     env.render()
        #     input()

        if args.visualize:
            visualize(env, policy, args.vlen, deterministic=not args.noise)

        if args.plot:
            cassie_policyplot(env, policy, args.glen)

    exit()

    # TODO: try averaging obs_norm? to seperate obs normalization for each
    # averaging obs_norm probably wont work as all policies are expecting different normalization parameters
    # ob normalization should therefore should either be part of the policy or somehow syncronized
    # across experiments. The former is easier to implement
    # policy could keep track of its own obs_rms and the env could take it in and update it?
    # ^ might break OpenAI gym compatibility

    # other possibility: maybe norm parameters converge on their own over time? Although if they did
    # an ensemble probably wouldn't change behavior

    # SOLUTION: give trained policies an ob_rms parameter to normalize their own observations,
    # keep normalization calculation in environment for parallelization

    # NOTE: reward normalization affects stuff

    #### Ensemble policy
    vpolicy = []

    mmean = 0
    mvar = 0
    for i in range(1, 16):
        policy = torch.load("trained_models/modelv{}.pt".format(i))

        vpolicy += [policy]

        print("visualizing policy {}".format(i))
        # if i == 15:
        visualize(env, policy, 1)
            #cassie_policyplot(env, policy, 100, "policy {}".format(i))

    mmean /= 10
    mvar /= 10

    env.ob_rms.mean = mmean
    env.ob_rms.var = mvar

    #for i in range(10):

    # NOTE: reference trajectory for ensemble policy looks weird?
    # Because it's the NORMALIZED reference trajectory^^
    # but still, weird
    policy = EnsemblePolicy(vpolicy)

    #visualize(env, policy, 100)
    cassie_policyplot(env, policy, 75, render=True)

redpajama_set_name: RedPajamaGithub


What is it? Nutritional yeast is a deactivated yeast that doesn't produce a rising effect. It is usually found in the form of flakes or granules.
Health Benefits: Nutritional yeast contains a complete protein meaning it contains 9 essential amino acids that your body can not produce. It contains several B vitamins: thiamine, folate, B-6, and niacin which are used by the body to extract energy and produce red blood cells. Nutritional yeast also contains protein and fiber which promote satiety.
Uses: Nutritional yeast can be used anywhere you might use cheese like on popcorn, in mac and cheese, in mashed potatoes, or in a pesto.
Storage: Nutritional yeast should be stored in an airtight container like a zip top plastic bag, plastic Tupperware or in a sealed glass jar. It should then be placed in a dark space like a pantry or cupboard.
Try this delicious recipe for oil free lemon basil pesto, https://foodrevolution.org/blog/plant-based-recipe-oil-free-basil-pesto/. It uses nutritional yeast in the place of parmesan cheese. All the taste without all the guilt!


text:
... better living through
home about blog community contact
bdsm sex psychology spirituality conundrums personal stories how to reviews resources
... better living through power exchange
Interesting stories from my BDSM "Google alerts" feed:
Fifty Shades of Orange: This Home Depot aisle is practically a BDSM club
Some Home Depot employee forgot to work out the kink, so to speak, in the inventory for Aisle 15. Or maybe that employee is sneaking their fetishes into the workplace! As seen in images circulating on social media, one location's Aisle 15 sign reads, "Hardware: Lubricants, Rope & Chain, Screws, Tie Downs." [...]
Boulder's Wild Side Gets to Play at DV8 Distillery's Kink Series
Boulder, despite being a hub for creative culture, progressive thinking, and self-expression, hasn't seen a space for the kink or BDSM to consistently gather, most kinksters heading to Denver to meet community needs. That's why the team at DV8 Distillery, together with Crista Reid of Permission Productions and Mike Lato of The Zookeepers Entertainment, wanted to create something new. [...]
How to take the BDSM test that's going viral on TikTok (and what it means)
TikTokers like @aw00ga66 and @brimcgreer are taking a resurfaced "online kink test" and sharing their results to the social media platform's safe space for the BDSM community, commonly known as #kinktok. Related hashtags like #kinktestchallenge, #kinkchallenge, and #kinktestresults are getting more than half a million views combined. [...]
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Study Reveals 22% of Americans want to try BDSM
Cuffs, plugs, and vibrators — oh my! A new survey finds all the time sitting inside during the coronavirus pandemic is making many adults friskier than ever before. [...]
Yes, kink belongs at Pride, and I want my kids to see it
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There's really no way to say this coyly. On Wednesday's episode of ICYMI, Slate's new podcast about internet culture, hosts Rachelle Hampton and Madison Malone Kircher talked about piss play. As in urophilia. As in … getting turned on by urine. A new TikTok trend, dubbed #PissTok, provides a surprisingly nuanced lens into how Gen Z is using pee to destigmatize sex online. [...]
Studies provide new insights into possible psychological mechanisms underlying interest in BDSM
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The Willful Misunderstanding of Kink; What does it mean to conflate a sexual practice with abuse?
The word "kink" is a slippery term, and depending on whom you ask, it can have varying, even competing, definitions. But while speaking in the aggregate about all kink practices can be difficult, [...]
On TikTok, vanilla-shaming is the new kink-shaming
Knife play, choking and rough sex have found a home on FreakTok, but the line between sex positivity and sexual violence is becoming blurred. [...]
'Your Cock Is Mine Now:' Hacker Locks Internet-Connected Chastity Cage, Demands Ransom
A hacker took control of people's internet-connected chastity cages and demanded a ransom to be paid in Bitcoin to unlock it. "Your cock is mine now," the hacker told one of the victims. [...]
Study says 1 in 4 People have engaged in BDSM activity during quarantine
While for many, quarantine has been a time of extra stress of the sex-killing kind (say, hospital workers or parents with kids trapped at home), others have found extra time to explore their fantasies. And many are trying on BDSM for size. [...]
The top cities for BDSM dating
During the pandemic, the BDSM dating app, KinkD has reported a nearly 40 percent increase in active daily users looking for kink and fetish partners. The app also reported their top 10 cities for kink-seekers. Liberal New York and Los Angeles top the list, of course, but three cities in supposedly "conservative" Texas also showed up in the top ten — Dallas, Houston and San Antonio. [...]
Survey of seniors shows high level of interest in BDSM
The British online shopping site OnBuy asked 2,361 people over the age of 60 about their sexual habits and desires, and a whopping 63 percent claimed an interest in "trying" BDSM, with a good 56 percent expressing interesting in D/s power exchange. [...]
Is Jerry Falwell Jr. secretly a submissive cuckold to his domme wife?
This news story about the recent allegations of the Falwell's interesting sexual "hobby" suggests a BDSM component. If he wasn't such a finger-wagging figure of the Religious Right, perhaps his sexual interests would have been considered no one's business. His bedroom activities certainly wouldn't have, and shouldn't have, cost him his job. [...]
Interview with a Switch: Naughty Ginger
— Terra Bloom
If Armie Hammer abuses women, it's not because he's into BDSM
Notable BDSM events (worldwide)
— thebdsmeventspage


Daily Dose: Sports for days!
April is a month of sports GALORE! What's not to love about spring evenings spent watching sports with a cold drink in hand?
Stumped on events? Look no further, click on the banner at the bottom of the page to check out our Events Foundational Guide.
Check the game schedule for whatever sport your community might be most interested in (we've linked our basketball graphics below) and highlight the important games you'll want to throw a watch party for- use your blank Sprout calendar for this!
Grab our event checklist to plan it out.
Don't forget the invite and social media graphic below to let your community know.
Search: GAME DAY to see more!
Get loud cheering for your fav teams! WHOOP there it is!


Front Sight Firearms Training Institute, also known as Front Sight and as Front Sight Resorts, was founded in 1996 by Dr Ignatius Piazza. It is a privately owned and operated organization whose purpose is twofold: 1) to provide training, mostly on how to safely operate firearms in self-defense settings, also referred to as providing "comfort of skill at arms", and 2) an activism goal to "positively change the image of gun ownership in our lifetimes" by repudiating unfavorable views of gun owners put forth by various private gun control, and political, organizations. It claims to have grown to be the largest gun training organization in the US, and larger than all the others combined (as measured in terms of annual students).


Be a Pixel Shopkeeper! Collect items using inventory management puzzle mechanics. Sell your wares, decorate your shop, craft new products, and expand! Train to beat tougher dungeons, unlock new classes and decor, and furnish your shop smartly to maximize profits!
Mostly Positive (123) - 78% of the 123 user reviews for this game are positive.
Be a Pixel Shopkeeper! Collect items using inventory management puzzle mechanics. Sell your wares, decorate your shop, craft new products, and expand! Train to beat tougher dungeons, unlock new classes and decor, and furnish your shop smartly to maximize profits! Choose from two levels of difficulty to pay off your loan, or play in Sandbox mode with no obligations.
- Variety of bags you can obtain that give special effects such as delivering directly to inventory and multiplying an item you collect!
- Battle gameplay is puzzle-style, fitting items into grids with special effects - check out videos to learn more and see it in action!
- In this game you will be clicking quite a bit. There are in-game items that alleviate that, but fair warning in the beginning!
Thanks so much for the interest and I hope you enjoy the game!


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Il Ministero della cultura (in rumeno: Ministerul Culturii) è uno dei dicasteri del Governo della Romania.

L'attuale detentore della posizione è Bogdan Gheorghiu.

L'Istituto Nazionale Rumeno di Monumenti Storici, fa parte di questo ministero, mantiene la Lista dei monumenti storici in Romania. L'elenco, creato nel 2004-2005, contiene Monumenti storici inseriti nel Patrimonio culturale nazionale della Romania.

Elenco dei ministri

Altri progetti

Collegamenti esterni
  MCC.ro
  GUV.ro
  Istituto Nazionale Rumeno di Monumenti Storici
  Lista dei Monumenti Storici al Ministero della Cultura e del Patrimonio Nazionale della Romania
  Lista dei Monumenti Storici Istituto Nazionale Rumeno di Monumenti Storici

Ministeri della Romania


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Home > lifestyle > 'The Father' movie review: Anthony Hopkins' Oscar-winning act leaves you with a heavy heart
'The Father' movie review: Anthony Hopkins' Oscar-winning act leaves you with a heavy heart
04/30/2021 mediabest lifestyle
Florian Zeller's film adaptation of his play has Hopkins — who won in the Best Actor category at the 93rd Academy Awards — play a man struggling to cope with his dementia
Few films are capable of what The Father does to you within the first 10 minutes of its runtime.
The film opens to the scene of a daughter (Olivia Colman) dropping by to check on her aged father (Anthony Hopkins). The conversation that follows is something many among us may have experienced already, or are definitely going to be part of in the not too distant future.
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But it is in the nature of its staging that lends us — the viewer — the ability to observe Anne and Anthony's interaction from arm's length; it is as if the director Florian Zeller intended for it to be a visceral experience. He also concludes the scene brilliantly: Anne walks away from the building having told her father that he must let a carer look after him, else a nursing home awaits… we see Anthony peering through the window as she walks away, and then takes a few strides back before dropping to his bed. A note of despondency creeps up on his face, his eyes droop in despair as he shuts his eyes and lets out a short-deep breath.
Director: Florian Zeller
Cast: Anthony Hopkins, Olivia Colman, Rufus Sewell, Imogen Poots, Olivia Williams, Mark Gatiss
Screenplay: The film follows the story of Anthony, an aging man experiencing memory loss with the onset of dementia
This, in my book, is the defining moment in The Father — a reminder that this is no ordinary film; these moments linger long after the credits roll.
Also Read: The complete list of winners at Oscars 2021
The heaviness refuses to let go of its vice-like grip; we merely sit and watch helplessly, sometimes uncomfortably, as the aged man goes through the motions unable to come to terms with the fact that he is on an endless downward slide and from which there is no climbing back. Of course, there remains the fact that this uncomfortable reality doesn't come to life without the intervention of the performer sans pareil that Anthony Hopkins is.
The Father boasts of a superlative screenplay, one that makes for uncomfortable viewing. It makes you shift around in your seat for the chilling way Florian has graphed the unravelling of Anthony's mind; it's heartbreaking, but at the same time draws focus to the singularly important facet in the life of a person with progressive dementia — time.
Time is fleeting. It is fleeting to us "normal folks" as well, but it is sort of poetic injustice, if you would ask me, when Florian turns time into the big villain for Anthony who is nothing but an affable gent in love with his watch.
Anthony Hopkins in a still from 'The Father' | Photo Credit: Special Arrangement
Anthony likes to keep track of time, but as the unravelling begins we know that there will come a day when he can no longer do what had been second nature to him in his life thus far; and it wouldn't matter even if he could continue doing it because with time, his weakening mind would fail to attach meaning to his actions.
This realisation is the painful strike Florian delivers upon the viewer as he guides us through the moments we bear witness to, as Anthony's memories start to muddy further until one day it dawns on him. There is no longer "something funny going on" when Anthony learns that his "leaves" are starting to wither.
A tender, numbing moment follows when Anthony craves for his mother's love; the painful scene encapsulates both things terrible and profound about progressive dementia. You know you feel for Anthony but you just cannot tell him that this will be alright… because this is reality, and with reality there is no way of undoing things. It invokes sadness out of you; it is the only thing Anthony too seems to be able to feel. But you know, very soon, even that feeling will escape him.
This realisation is gut-wrenching; it is inexplicable and inescapable… much like the impact The Father is bound to leave on you.
Anthony HopkinsdemThe Father
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J. F. | Minneapolis
America's prison population | Who, what, where and why
www.economist.com/ Mar 13th 2014
THE United States not only incarcerates a lot of people, it also has a bewildering array of places to put them. There are, of course, jails and prisons: jails are usually run by local jurisdictions (cities or counties) and house either convicted criminals serving short sentences or people awaiting trial. Prisons, or penitentiaries, are run by states or the federal government, and house convicts serving longer sentences. But there are also juvenile-detention facilities, military prisons, immigration-detention and civil-commitment centres (used for court-ordered treatment of the mentally ill; they can be inpatient or outpatient) as well as jails and prisons in Indian and overseas territories, most of which are administered by different government entities. This keeps data on the overall size of America's incarcerated population, as well as information about their crimes, quite fragmented.
Yesterday the Prison Policy Initiative (PPI), a criminal-justice research and advocacy group, released a report and chart that draws on various data sources to present a fuller picture of precisely who is behind bars, and for what reason. It's not happy reading. PPI reckons the United States has roughly 2.4m people locked up, with most of those (1.36m) in state prisons. That is more than the International Centre for Prison Studies estimates, but it's in the same ballpark.
Remember, though, that number is static: it does not capture the churn of people in and out of incarceration during a given year. For the population in local jails, PPI used the information in Table 1 of this report, which shows how many people were locked up in jails on June 30th 2012 (the last weekday in June), and came up with 721,654 in local jails, as well as another 22,870 immigration detainees housed in local jails under contract with Immigration and Customs Enforcement (ICE). Around 60.6% of jail inmates have been convicted; 39.4%, which includes the immigration detainees, have not been convicted, either because they had only recently been arrested or because they are awaiting trial and don't have the money to make bail. Look one page earlier in the report, however, and you'll see that local jails admitted a total of 11.6m people between July 1st 2011 and June 30th 2012. Jails with fewer than 50 prisoners had a weekly turnover rate of 131%. Similarly, around 688,000 people are released from prisons each year. This, says the report, "underscores how naive it is to think of prisons as separate from the rest of society", and how crucial it is to provide services inside that will help people once they get out—because with very few exceptions, inmates will eventually come out, and it is in society's interest to ensure they need not be locked up again.
But it also underscores something we've written about before: America locks up too many people for too many things. The number of federal laws has risen from 3,000 in the early 1980s to over 4,450 by 2008. Many of these have poor intent requirements, meaning people are being locked up not to keep the rest of society safe, but for technical violations of laws they may not have known existed. This overreliance on imprisonment can be seen most starkly, and sadly, by looking at the juvenile population, which is just under 71,000 nationally. Around 11,600 are imprisoned for "technical violations" of their probation or parole terms, rather than because they committed a new crime. In 11 states such juvenile prisoners outnumber those in for crimes against other people. In only one state (Massachusetts) did juveniles imprisoned for crimes committed against people comprise a majority of juvenile prisoners. Around 3,000 are locked up for things that aren't crimes for adults, "such as running away, truancy and incorrigibility." Incarcerated children are less likely to graduate high-school and more likely to spend time in prison as adults. If America is interested in reducing its prison population, locking up fewer juveniles for silly reasons would be a good place to start.